From 8bf9bafd58bbae83c659d244ab2bae5f609a61ec Mon Sep 17 00:00:00 2001
From: jacoblee93 <jacoblee93@gmail.com>
Date: Tue, 13 Aug 2024 00:54:36 -0700
Subject: [PATCH 001/344] Start Mistral 1.0.0 migration

---
 libs/langchain-mistralai/package.json       |  2 +-
 libs/langchain-mistralai/src/chat_models.ts | 71 +++++++++++----------
 yarn.lock                                   | 11 +++-
 3 files changed, 49 insertions(+), 35 deletions(-)

diff --git a/libs/langchain-mistralai/package.json b/libs/langchain-mistralai/package.json
index 4bd9bd8a7b91..3095517a2fe3 100644
--- a/libs/langchain-mistralai/package.json
+++ b/libs/langchain-mistralai/package.json
@@ -36,7 +36,7 @@
   "license": "MIT",
   "dependencies": {
     "@langchain/core": ">=0.2.21 <0.3.0",
-    "@mistralai/mistralai": "^0.4.0",
+    "@mistralai/mistralai": "^1.0.2",
     "uuid": "^10.0.0",
     "zod": "^3.22.4",
     "zod-to-json-schema": "^3.22.4"
diff --git a/libs/langchain-mistralai/src/chat_models.ts b/libs/langchain-mistralai/src/chat_models.ts
index b8d1a6348f70..72f60c8b79b4 100644
--- a/libs/langchain-mistralai/src/chat_models.ts
+++ b/libs/langchain-mistralai/src/chat_models.ts
@@ -1,14 +1,15 @@
 import { v4 as uuidv4 } from "uuid";
 import {
-  ChatCompletionResponse,
-  Function as MistralAIFunction,
-  ToolCalls as MistralAIToolCalls,
-  ResponseFormat,
-  ChatCompletionResponseChunk,
-  ChatRequest,
-  Tool as MistralAITool,
-  Message as MistralAIMessage,
-  TokenUsage as MistralAITokenUsage,
+  Mistral as MistralClient,
+  // MistralChatCompletionResponse,
+  // Function as MistralAIFunction,
+  // ToolCalls as MistralAIToolCalls,
+  // ResponseFormat,
+  // MistralChatCompletionResponseChunk,
+  // ChatRequest,
+  // Tool as MistralAITool,
+  // Message as MistralAIMessage,
+  // TokenUsage as MistralAITokenUsage,
 } from "@mistralai/mistralai";
 import {
   MessageType,
@@ -75,6 +76,18 @@ interface TokenUsage {
 
 export type MistralAIToolChoice = "auto" | "any" | "none";
 
+export type MistralChatCompletionParams = Parameters<MistralClient["chat"]["complete"]>[0];
+export type MistralAIToolCall = NonNullable<MistralChatCompletionParams["tools"]>[number]
+
+export type MistralChatCompletionResponse = Awaited<ReturnType<MistralClient["chat"]["complete"]>>;
+export type MistralChatCompletionResponseChunk = Awaited<ReturnType<MistralClient["chat"]["stream"]>>;
+export type MistralChatCompletionChoice = NonNullable<MistralChatCompletionResponse["choices"]>[number];
+
+export type MistralAITool = NonNullable<MistralChatCompletionParams["tools"]>[number];
+export type MistralAIFunction = MistralAITool["function"];
+
+export type MistralAIMessage = NonNullable<MistralChatCompletionChoice["message"]>;
+
 type MistralAIToolInput = { type: string; function: MistralAIFunction };
 
 type ChatMistralAIToolType =
@@ -200,14 +213,14 @@ function convertMessagesToMistralMessages(
     );
   };
 
-  const getTools = (message: BaseMessage): MistralAIToolCalls[] | undefined => {
+  const getTools = (message: BaseMessage): MistralAIToolCall[] | undefined => {
     if (isAIMessage(message) && !!message.tool_calls?.length) {
       return message.tool_calls
         .map((toolCall) => ({
           ...toolCall,
           id: _convertToolCallIdToMistralCompatible(toolCall.id ?? ""),
         }))
-        .map(convertLangChainToolCallToOpenAI) as MistralAIToolCalls[];
+        .map(convertLangChainToolCallToOpenAI) as MistralAIToolCall[];
     }
     if (!message.additional_kwargs.tool_calls?.length) {
       return undefined;
@@ -244,16 +257,16 @@ function convertMessagesToMistralMessages(
 }
 
 function mistralAIResponseToChatMessage(
-  choice: ChatCompletionResponse["choices"][0],
+  choice: MistralChatCompletionResponse["choices"][0],
   usage?: MistralAITokenUsage
 ): BaseMessage {
   const { message } = choice;
   // MistralAI SDK does not include tool_calls in the non
   // streaming return type, so we need to extract it like this
   // to satisfy typescript.
-  let rawToolCalls: MistralAIToolCalls[] = [];
+  let rawToolCalls: MistralAIToolCall[] = [];
   if ("tool_calls" in message && Array.isArray(message.tool_calls)) {
-    rawToolCalls = message.tool_calls as MistralAIToolCalls[];
+    rawToolCalls = message.tool_calls as MistralAIToolCall[];
   }
   switch (message.role) {
     case "assistant": {
@@ -301,7 +314,7 @@ function _convertDeltaToMessageChunk(
   delta: {
     role?: string | undefined;
     content?: string | undefined;
-    tool_calls?: MistralAIToolCalls[] | undefined;
+    tool_calls?: MistralAIToolCall[] | undefined;
   },
   usage?: MistralAITokenUsage | null
 ) {
@@ -791,7 +804,6 @@ export class ChatMistralAI<
     this.temperature = fields?.temperature ?? this.temperature;
     this.topP = fields?.topP ?? this.topP;
     this.maxTokens = fields?.maxTokens ?? this.maxTokens;
-    this.safeMode = fields?.safeMode ?? this.safeMode;
     this.safePrompt = fields?.safePrompt ?? this.safePrompt;
     this.randomSeed = fields?.seed ?? fields?.randomSeed ?? this.seed;
     this.seed = this.randomSeed;
@@ -820,12 +832,12 @@ export class ChatMistralAI<
    */
   invocationParams(
     options?: this["ParsedCallOptions"]
-  ): Omit<ChatRequest, "messages"> {
+  ): Omit<MistralChatCompletionParams, "messages"> {
     const { response_format, tools, tool_choice } = options ?? {};
     const mistralAITools: Array<MistralAITool> | undefined = tools?.length
       ? _convertToolToMistralTool(tools)
       : undefined;
-    const params: Omit<ChatRequest, "messages"> = {
+    const params: Omit<MistralChatCompletionParams, "messages"> = {
       model: this.model,
       tools: mistralAITools,
       temperature: this.temperature,
@@ -858,31 +870,30 @@ export class ChatMistralAI<
   async completionWithRetry(
     input: ChatRequest,
     streaming: true
-  ): Promise<AsyncGenerator<ChatCompletionResponseChunk>>;
+  ): Promise<AsyncGenerator<MistralChatCompletionResponseChunk>>;
 
   async completionWithRetry(
     input: ChatRequest,
     streaming: false
-  ): Promise<ChatCompletionResponse>;
+  ): Promise<MistralChatCompletionResponse>;
 
   async completionWithRetry(
     input: ChatRequest,
     streaming: boolean
   ): Promise<
-    ChatCompletionResponse | AsyncGenerator<ChatCompletionResponseChunk>
+    MistralChatCompletionResponse | AsyncGenerator<MistralChatCompletionResponseChunk>
   > {
-    const { MistralClient } = await this.imports();
-    const client = new MistralClient(this.apiKey, this.endpoint);
+    const client = new MistralClient({ apiKey: this.apiKey, serverURL: this.endpoint });
 
     return this.caller.call(async () => {
       try {
         let res:
-          | ChatCompletionResponse
-          | AsyncGenerator<ChatCompletionResponseChunk>;
+          | MistralChatCompletionResponse
+          | AsyncGenerator<MistralChatCompletionResponseChunk>;
         if (streaming) {
-          res = client.chatStream(input);
+          res = client.chat.stream(input);
         } else {
-          res = await client.chat(input);
+          res = await client.chat.complete(input);
         }
         return res;
         // eslint-disable-next-line @typescript-eslint/no-explicit-any
@@ -1191,12 +1202,6 @@ export class ChatMistralAI<
       parsedWithFallback,
     ]);
   }
-
-  /** @ignore */
-  private async imports() {
-    const { default: MistralClient } = await import("@mistralai/mistralai");
-    return { MistralClient };
-  }
 }
 
 function isZodSchema<
diff --git a/yarn.lock b/yarn.lock
index 3bfd7db12c29..2114b12d70a0 100644
--- a/yarn.lock
+++ b/yarn.lock
@@ -12078,7 +12078,7 @@ __metadata:
     "@langchain/core": ">=0.2.21 <0.3.0"
     "@langchain/scripts": ~0.0.20
     "@langchain/standard-tests": 0.0.0
-    "@mistralai/mistralai": ^0.4.0
+    "@mistralai/mistralai": ^1.0.2
     "@swc/core": ^1.3.90
     "@swc/jest": ^0.2.29
     "@tsconfig/recommended": ^1.0.3
@@ -12733,6 +12733,15 @@ __metadata:
   languageName: node
   linkType: hard
 
+"@mistralai/mistralai@npm:^1.0.2":
+  version: 1.0.2
+  resolution: "@mistralai/mistralai@npm:1.0.2"
+  peerDependencies:
+    zod: ">= 3"
+  checksum: 9d2ed8d96d20791571cf9ad2a47c4fb2a8a991543ce95a7daeba8f146cca73cac8e05b9da1e96b16d84a08c3c9bcea90c3e4909ce55dd366ea4931b2e18a28bb
+  languageName: node
+  linkType: hard
+
 "@mixedbread-ai/sdk@npm:^2.2.3":
   version: 2.2.6
   resolution: "@mixedbread-ai/sdk@npm:2.2.6"

From e87f32a6f0443a12162ab69b7d5249896a7082b8 Mon Sep 17 00:00:00 2001
From: jacoblee93 <jacoblee93@gmail.com>
Date: Tue, 13 Aug 2024 01:46:51 -0700
Subject: [PATCH 002/344] Progress

---
 libs/langchain-mistralai/src/chat_models.ts | 122 ++++++++++----------
 1 file changed, 58 insertions(+), 64 deletions(-)

diff --git a/libs/langchain-mistralai/src/chat_models.ts b/libs/langchain-mistralai/src/chat_models.ts
index 72f60c8b79b4..616266bfbbd4 100644
--- a/libs/langchain-mistralai/src/chat_models.ts
+++ b/libs/langchain-mistralai/src/chat_models.ts
@@ -11,6 +11,17 @@ import {
   // Message as MistralAIMessage,
   // TokenUsage as MistralAITokenUsage,
 } from "@mistralai/mistralai";
+import {
+  ChatCompletionRequest as MistralAIChatCompletionRequest,
+  ToolChoice as MistralAIToolChoice,
+  Messages as MistralAIMessage,
+} from "@mistralai/mistralai/models/components/chatcompletionrequest.js";
+import { Tool as MistralAITool } from "@mistralai/mistralai/models/components/tool.js";
+import { ToolCall as MistralAIToolCall } from "@mistralai/mistralai/models/components/toolcall.js";
+import { ChatCompletionStreamRequest as MistralChatCompletionStreamRequest } from "@mistralai/mistralai/models/components/chatcompletionstreamrequest.js";
+import { UsageInfo as MistralAITokenUsage } from "@mistralai/mistralai/models/components/usageinfo.js";
+import { CompletionEvent as MistralAIChatCompletionEvent } from "@mistralai/mistralai/models/components/completionevent.js";
+import { ChatCompletionResponse as MistralChatCompletionResponse } from "@mistralai/mistralai/models/components/chatcompletionresponse.js";
 import {
   MessageType,
   type BaseMessage,
@@ -74,26 +85,7 @@ interface TokenUsage {
   totalTokens?: number;
 }
 
-export type MistralAIToolChoice = "auto" | "any" | "none";
-
-export type MistralChatCompletionParams = Parameters<MistralClient["chat"]["complete"]>[0];
-export type MistralAIToolCall = NonNullable<MistralChatCompletionParams["tools"]>[number]
-
-export type MistralChatCompletionResponse = Awaited<ReturnType<MistralClient["chat"]["complete"]>>;
-export type MistralChatCompletionResponseChunk = Awaited<ReturnType<MistralClient["chat"]["stream"]>>;
-export type MistralChatCompletionChoice = NonNullable<MistralChatCompletionResponse["choices"]>[number];
-
-export type MistralAITool = NonNullable<MistralChatCompletionParams["tools"]>[number];
-export type MistralAIFunction = MistralAITool["function"];
-
-export type MistralAIMessage = NonNullable<MistralChatCompletionChoice["message"]>;
-
-type MistralAIToolInput = { type: string; function: MistralAIFunction };
-
-type ChatMistralAIToolType =
-  | MistralAIToolInput
-  | MistralAITool
-  | BindToolsInput;
+type ChatMistralAIToolType = MistralAIToolCall | MistralAITool | BindToolsInput;
 
 export interface ChatMistralAICallOptions
   extends Omit<BaseLanguageModelCallOptions, "stop"> {
@@ -257,10 +249,13 @@ function convertMessagesToMistralMessages(
 }
 
 function mistralAIResponseToChatMessage(
-  choice: MistralChatCompletionResponse["choices"][0],
+  choice: NonNullable<MistralChatCompletionResponse["choices"]>[0],
   usage?: MistralAITokenUsage
 ): BaseMessage {
   const { message } = choice;
+  if (message === undefined) {
+    throw new Error("No message found in response");
+  }
   // MistralAI SDK does not include tool_calls in the non
   // streaming return type, so we need to extract it like this
   // to satisfy typescript.
@@ -288,19 +283,12 @@ function mistralAIResponseToChatMessage(
         content: message.content ?? "",
         tool_calls: toolCalls,
         invalid_tool_calls: invalidToolCalls,
-        additional_kwargs: {
-          tool_calls: rawToolCalls.length
-            ? rawToolCalls.map((toolCall) => ({
-                ...toolCall,
-                type: "function",
-              }))
-            : undefined,
-        },
+        additional_kwargs: {},
         usage_metadata: usage
           ? {
-              input_tokens: usage.prompt_tokens,
-              output_tokens: usage.completion_tokens,
-              total_tokens: usage.total_tokens,
+              input_tokens: usage.promptTokens,
+              output_tokens: usage.completionTokens,
+              total_tokens: usage.totalTokens,
             }
           : undefined,
       });
@@ -324,9 +312,9 @@ function _convertDeltaToMessageChunk(
         content: "",
         usage_metadata: usage
           ? {
-              input_tokens: usage.prompt_tokens,
-              output_tokens: usage.completion_tokens,
-              total_tokens: usage.total_tokens,
+              input_tokens: usage.promptTokens,
+              output_tokens: usage.completionTokens,
+              total_tokens: usage.totalTokens,
             }
           : undefined,
       });
@@ -338,7 +326,7 @@ function _convertDeltaToMessageChunk(
   // need to insert it here.
   const rawToolCallChunksWithIndex = delta.tool_calls?.length
     ? delta.tool_calls?.map(
-        (toolCall, index): OpenAIToolCall => ({
+        (toolCall, index): MistralAIToolCall & { index: number } => ({
           ...toolCall,
           index,
           id: toolCall.id ?? uuidv4().replace(/-/g, ""),
@@ -355,13 +343,15 @@ function _convertDeltaToMessageChunk(
   let additional_kwargs;
   const toolCallChunks: ToolCallChunk[] = [];
   if (rawToolCallChunksWithIndex !== undefined) {
-    additional_kwargs = {
-      tool_calls: rawToolCallChunksWithIndex,
-    };
     for (const rawToolCallChunk of rawToolCallChunksWithIndex) {
+      const rawArgs = rawToolCallChunk.function?.arguments;
+      const args =
+        rawArgs === undefined || typeof rawArgs === "string"
+          ? rawArgs
+          : JSON.stringify(rawArgs);
       toolCallChunks.push({
         name: rawToolCallChunk.function?.name,
-        args: rawToolCallChunk.function?.arguments,
+        args,
         id: rawToolCallChunk.id,
         index: rawToolCallChunk.index,
         type: "tool_call_chunk",
@@ -380,9 +370,9 @@ function _convertDeltaToMessageChunk(
       additional_kwargs,
       usage_metadata: usage
         ? {
-            input_tokens: usage.prompt_tokens,
-            output_tokens: usage.completion_tokens,
-            total_tokens: usage.total_tokens,
+            input_tokens: usage.promptTokens,
+            output_tokens: usage.completionTokens,
+            total_tokens: usage.totalTokens,
           }
         : undefined,
     });
@@ -832,22 +822,21 @@ export class ChatMistralAI<
    */
   invocationParams(
     options?: this["ParsedCallOptions"]
-  ): Omit<MistralChatCompletionParams, "messages"> {
+  ): Omit<MistralAIChatCompletionRequest, "messages"> {
     const { response_format, tools, tool_choice } = options ?? {};
     const mistralAITools: Array<MistralAITool> | undefined = tools?.length
       ? _convertToolToMistralTool(tools)
       : undefined;
-    const params: Omit<MistralChatCompletionParams, "messages"> = {
+    const params: Omit<MistralAIChatCompletionRequest, "messages"> = {
       model: this.model,
       tools: mistralAITools,
       temperature: this.temperature,
       maxTokens: this.maxTokens,
       topP: this.topP,
       randomSeed: this.seed,
-      safeMode: this.safeMode,
       safePrompt: this.safePrompt,
       toolChoice: tool_choice,
-      responseFormat: response_format as ResponseFormat,
+      responseFormat: response_format,
     };
     return params;
   }
@@ -868,37 +857,45 @@ export class ChatMistralAI<
    * @returns {Promise<MistralAIChatCompletionResult | AsyncGenerator<MistralAIChatCompletionResult>>} The response from the MistralAI API.
    */
   async completionWithRetry(
-    input: ChatRequest,
+    input: MistralChatCompletionStreamRequest,
     streaming: true
-  ): Promise<AsyncGenerator<MistralChatCompletionResponseChunk>>;
+  ): Promise<AsyncIterable<MistralAIChatCompletionEvent>>;
 
   async completionWithRetry(
-    input: ChatRequest,
+    input: MistralAIChatCompletionRequest,
     streaming: false
   ): Promise<MistralChatCompletionResponse>;
 
   async completionWithRetry(
-    input: ChatRequest,
+    input: MistralAIChatCompletionRequest | MistralChatCompletionStreamRequest,
     streaming: boolean
   ): Promise<
-    MistralChatCompletionResponse | AsyncGenerator<MistralChatCompletionResponseChunk>
+    MistralChatCompletionResponse | AsyncIterable<MistralAIChatCompletionEvent>
   > {
-    const client = new MistralClient({ apiKey: this.apiKey, serverURL: this.endpoint });
+    const client = new MistralClient({
+      apiKey: this.apiKey,
+      serverURL: this.endpoint,
+    });
 
     return this.caller.call(async () => {
       try {
         let res:
           | MistralChatCompletionResponse
-          | AsyncGenerator<MistralChatCompletionResponseChunk>;
+          | AsyncIterable<MistralAIChatCompletionEvent>;
         if (streaming) {
-          res = client.chat.stream(input);
+          res = await client.chat.stream(input);
         } else {
           res = await client.chat.complete(input);
         }
         return res;
         // eslint-disable-next-line @typescript-eslint/no-explicit-any
       } catch (e: any) {
-        if (e.message?.includes("status: 400")) {
+        console.log(e, e.status, e.code, e.statusCode, e.message);
+        if (
+          e.message?.includes("status: 400") ||
+          e.message?.toLowerCase().includes("status 400") ||
+          e.message?.includes("validation failed")
+        ) {
           e.status = 400;
         }
         throw e;
@@ -947,11 +944,8 @@ export class ChatMistralAI<
     // Not streaming, so we can just call the API once.
     const response = await this.completionWithRetry(input, false);
 
-    const {
-      completion_tokens: completionTokens,
-      prompt_tokens: promptTokens,
-      total_tokens: totalTokens,
-    } = response?.usage ?? {};
+    const { completionTokens, promptTokens, totalTokens } =
+      response?.usage ?? {};
 
     if (completionTokens) {
       tokenUsage.completionTokens =
@@ -979,8 +973,8 @@ export class ChatMistralAI<
         text,
         message: mistralAIResponseToChatMessage(part, response?.usage),
       };
-      if (part.finish_reason) {
-        generation.generationInfo = { finish_reason: part.finish_reason };
+      if (part.finishReason) {
+        generation.generationInfo = { finishReason: part.finishReason };
       }
       generations.push(generation);
     }
@@ -1003,7 +997,7 @@ export class ChatMistralAI<
     };
 
     const streamIterable = await this.completionWithRetry(input, true);
-    for await (const data of streamIterable) {
+    for await (const { data } of streamIterable) {
       if (options.signal?.aborted) {
         throw new Error("AbortError");
       }

From 65e38b56a525b47f4ad7a3bfc23efce20c88e4ce Mon Sep 17 00:00:00 2001
From: CarterMorris <carter.morris@mail.utoronto.ca>
Date: Mon, 28 Oct 2024 21:52:32 -0400
Subject: [PATCH 003/344] Finished rough draft migration

---
 libs/langchain-mistralai/package.json       |  4 +-
 libs/langchain-mistralai/src/chat_models.ts | 14 +--
 libs/langchain-mistralai/src/embeddings.ts  | 46 ++++++----
 libs/langchain-mistralai/src/llms.ts        | 98 ++++++++++-----------
 yarn.lock                                   |  6 +-
 5 files changed, 89 insertions(+), 79 deletions(-)

diff --git a/libs/langchain-mistralai/package.json b/libs/langchain-mistralai/package.json
index 3095517a2fe3..f54aaed376d6 100644
--- a/libs/langchain-mistralai/package.json
+++ b/libs/langchain-mistralai/package.json
@@ -36,9 +36,9 @@
   "license": "MIT",
   "dependencies": {
     "@langchain/core": ">=0.2.21 <0.3.0",
-    "@mistralai/mistralai": "^1.0.2",
+    "@mistralai/mistralai": "^1.1.0",
     "uuid": "^10.0.0",
-    "zod": "^3.22.4",
+    "zod": "^3.23.8",
     "zod-to-json-schema": "^3.22.4"
   },
   "devDependencies": {
diff --git a/libs/langchain-mistralai/src/chat_models.ts b/libs/langchain-mistralai/src/chat_models.ts
index 616266bfbbd4..09c290f61e1b 100644
--- a/libs/langchain-mistralai/src/chat_models.ts
+++ b/libs/langchain-mistralai/src/chat_models.ts
@@ -13,7 +13,7 @@ import {
 } from "@mistralai/mistralai";
 import {
   ChatCompletionRequest as MistralAIChatCompletionRequest,
-  ToolChoice as MistralAIToolChoice,
+  ChatCompletionRequestToolChoice as MistralAIToolChoice,
   Messages as MistralAIMessage,
 } from "@mistralai/mistralai/models/components/chatcompletionrequest.js";
 import { Tool as MistralAITool } from "@mistralai/mistralai/models/components/tool.js";
@@ -124,9 +124,9 @@ export interface ChatMistralAIInput
    */
   model?: string;
   /**
-   * Override the default endpoint.
+   * Override the default server URL used by the Mistral SDK.
    */
-  endpoint?: string;
+  serverURL?: string;
   /**
    * What sampling temperature to use, between 0.0 and 2.0.
    * Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic.
@@ -755,7 +755,7 @@ export class ChatMistralAI<
 
   apiKey: string;
 
-  endpoint?: string;
+  serverURL?: string;
 
   temperature = 0.7;
 
@@ -790,7 +790,7 @@ export class ChatMistralAI<
     }
     this.apiKey = apiKey;
     this.streaming = fields?.streaming ?? this.streaming;
-    this.endpoint = fields?.endpoint;
+    this.serverURL = fields?.serverURL;
     this.temperature = fields?.temperature ?? this.temperature;
     this.topP = fields?.topP ?? this.topP;
     this.maxTokens = fields?.maxTokens ?? this.maxTokens;
@@ -874,7 +874,7 @@ export class ChatMistralAI<
   > {
     const client = new MistralClient({
       apiKey: this.apiKey,
-      serverURL: this.endpoint,
+      serverURL: this.serverURL,
     });
 
     return this.caller.call(async () => {
@@ -1044,7 +1044,7 @@ export class ChatMistralAI<
   /** @ignore */
   _combineLLMOutput() {
     return [];
-  }
+  } 
 
   withStructuredOutput<
     // eslint-disable-next-line @typescript-eslint/no-explicit-any
diff --git a/libs/langchain-mistralai/src/embeddings.ts b/libs/langchain-mistralai/src/embeddings.ts
index f750f53cf5a8..b80186218d3f 100644
--- a/libs/langchain-mistralai/src/embeddings.ts
+++ b/libs/langchain-mistralai/src/embeddings.ts
@@ -1,7 +1,8 @@
 import { getEnvironmentVariable } from "@langchain/core/utils/env";
 import { Embeddings, type EmbeddingsParams } from "@langchain/core/embeddings";
 import { chunkArray } from "@langchain/core/utils/chunk_array";
-import { EmbeddingResponse } from "@mistralai/mistralai";
+import { EmbeddingRequest as MistralAIEmbeddingsRequest} from "@mistralai/mistralai/src/models/components/embeddingrequest.js";
+import { EmbeddingResponse as MistralAIEmbeddingsResult} from "@mistralai/mistralai/src/models/components/embeddingresponse.js";
 
 /**
  * Interface for MistralAIEmbeddings parameters. Extends EmbeddingsParams and
@@ -30,9 +31,9 @@ export interface MistralAIEmbeddingsParams extends EmbeddingsParams {
    */
   encodingFormat?: string;
   /**
-   * Override the default endpoint.
+   * Override the default server URL used by the Mistral SDK.
    */
-  endpoint?: string;
+  serverURL?: string;
   /**
    * The maximum number of documents to embed in a single request.
    * @default {512}
@@ -65,7 +66,7 @@ export class MistralAIEmbeddings
 
   apiKey: string;
 
-  endpoint?: string;
+  serverURL?: string;
 
   constructor(fields?: Partial<MistralAIEmbeddingsParams>) {
     super(fields ?? {});
@@ -74,7 +75,7 @@ export class MistralAIEmbeddings
       throw new Error("API key missing for MistralAI, but it is required.");
     }
     this.apiKey = apiKey;
-    this.endpoint = fields?.endpoint;
+    this.serverURL = fields?.serverURL;
     this.modelName = fields?.model ?? fields?.modelName ?? this.model;
     this.model = this.modelName;
     this.encodingFormat = fields?.encodingFormat ?? this.encodingFormat;
@@ -105,7 +106,7 @@ export class MistralAIEmbeddings
       const batch = batches[i];
       const { data: batchResponse } = batchResponses[i];
       for (let j = 0; j < batch.length; j += 1) {
-        embeddings.push(batchResponse[j].embedding);
+        embeddings.push(batchResponse[j].embedding ?? []);
       }
     }
     return embeddings;
@@ -121,33 +122,42 @@ export class MistralAIEmbeddings
     const { data } = await this.embeddingWithRetry(
       this.stripNewLines ? text.replace(/\n/g, " ") : text
     );
-    return data[0].embedding;
+    return data[0].embedding ?? [];
   }
 
   /**
    * Private method to make a request to the MistralAI API to generate
    * embeddings. Handles the retry logic and returns the response from the
    * API.
-   * @param {string | Array<string>} input Text to send to the MistralAI API.
+   * @param {string | Array<string>} inputs Text to send to the MistralAI API.
    * @returns {Promise<MistralAIEmbeddingsResult>} Promise that resolves to the response from the API.
    */
   private async embeddingWithRetry(
-    input: string | Array<string>
-  ): Promise<EmbeddingResponse> {
-    const { MistralClient } = await this.imports();
-    const client = new MistralClient(this.apiKey, this.endpoint);
+    inputs: string | Array<string>
+  ): Promise<MistralAIEmbeddingsResult> {
+    const { Mistral } = await this.imports();
+    const client = new Mistral({
+      apiKey: this.apiKey, 
+      serverURL: this.serverURL,
+      // Could add hooks here
+    });
+    let embeddingsRequest: MistralAIEmbeddingsRequest = {
+      model: this.model,
+      inputs,
+      encodingFormat: this.encodingFormat
+    }
     return this.caller.call(async () => {
-      const res = await client.embeddings({
-        model: this.model,
-        input,
-      });
+      const res = await client.embeddings.create(
+        embeddingsRequest,
+        // Could add options here
+      );
       return res;
     });
   }
 
   /** @ignore */
   private async imports() {
-    const { default: MistralClient } = await import("@mistralai/mistralai");
-    return { MistralClient };
+    const { Mistral } = await import("@mistralai/mistralai");
+    return { Mistral };
   }
 }
diff --git a/libs/langchain-mistralai/src/llms.ts b/libs/langchain-mistralai/src/llms.ts
index 944c18ea67b6..bb35df375974 100644
--- a/libs/langchain-mistralai/src/llms.ts
+++ b/libs/langchain-mistralai/src/llms.ts
@@ -2,12 +2,11 @@ import { CallbackManagerForLLMRun } from "@langchain/core/callbacks/manager";
 import { BaseLLMParams, LLM } from "@langchain/core/language_models/llms";
 import { type BaseLanguageModelCallOptions } from "@langchain/core/language_models/base";
 import { GenerationChunk, LLMResult } from "@langchain/core/outputs";
-import {
-  ChatCompletionResponse,
-  ChatCompletionResponseChoice,
-  ChatCompletionResponseChunk,
-  type CompletionRequest,
-} from "@mistralai/mistralai";
+import { FIMCompletionRequest as MistralFIMCompletionRequest } from "@mistralai/mistralai/models/components/fimcompletionrequest.js";
+import { FIMCompletionStreamRequest as MistralFIMCompletionStreamRequest} from "@mistralai/mistralai/models/components/fimcompletionstreamrequest.js";
+import { FIMCompletionResponse as MistralFIMCompletionResponse } from "@mistralai/mistralai/models/components/fimcompletionresponse.js";
+import { ChatCompletionChoice as MistralChatCompletionChoice} from "@mistralai/mistralai/models/components/chatcompletionchoice.js";
+import { CompletionEvent as MistralCompletionEvent } from "@mistralai/mistralai/models/components/completionevent.js";
 import { getEnvironmentVariable } from "@langchain/core/utils/env";
 import { chunkArray } from "@langchain/core/utils/chunk_array";
 import { AsyncCaller } from "@langchain/core/utils/async_caller";
@@ -34,9 +33,9 @@ export interface MistralAIInput extends BaseLLMParams {
    */
   apiKey?: string;
   /**
-   * Override the default endpoint.
+   * Override the default server URL used by the Mistral SDK.
    */
-  endpoint?: string;
+  serverURL?: string;
   /**
    * What sampling temperature to use, between 0.0 and 2.0.
    * Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic.
@@ -98,7 +97,7 @@ export class MistralAI
 
   apiKey: string;
 
-  endpoint?: string;
+  serverURL?: string;
 
   maxRetries?: number;
 
@@ -114,7 +113,7 @@ export class MistralAI
     this.randomSeed = fields?.randomSeed ?? this.randomSeed;
     this.batchSize = fields?.batchSize ?? this.batchSize;
     this.streaming = fields?.streaming ?? this.streaming;
-    this.endpoint = fields?.endpoint;
+    this.serverURL = fields?.serverURL;
     this.maxRetries = fields?.maxRetries;
     this.maxConcurrency = fields?.maxConcurrency;
 
@@ -140,7 +139,7 @@ Either provide one via the "apiKey" field in the constructor, or set the "MISTRA
 
   invocationParams(
     options: this["ParsedCallOptions"]
-  ): Omit<CompletionRequest, "prompt"> {
+  ): Omit<MistralFIMCompletionRequest | MistralFIMCompletionStreamRequest, "prompt"> {
     return {
       model: this.model,
       suffix: options.suffix,
@@ -167,7 +166,7 @@ Either provide one via the "apiKey" field in the constructor, or set the "MISTRA
       prompt,
     };
     const result = await this.completionWithRetry(params, options, false);
-    return result.choices[0].message.content ?? "";
+    return result?.choices?.[0].message.content ?? "";
   }
 
   async _generate(
@@ -176,7 +175,7 @@ Either provide one via the "apiKey" field in the constructor, or set the "MISTRA
     runManager?: CallbackManagerForLLMRun
   ): Promise<LLMResult> {
     const subPrompts = chunkArray(prompts, this.batchSize);
-    const choices: ChatCompletionResponseChoice[][] = [];
+    const choices: MistralChatCompletionChoice[][] = [];
 
     const params = this.invocationParams(options);
 
@@ -184,16 +183,16 @@ Either provide one via the "apiKey" field in the constructor, or set the "MISTRA
       const data = await (async () => {
         if (this.streaming) {
           const responseData: Array<
-            { choices: ChatCompletionResponseChoice[] } & Partial<
-              Omit<ChatCompletionResponse, "choices">
+            { choices: MistralChatCompletionChoice[] } & Partial<
+              Omit<MistralFIMCompletionResponse, "choices">
             >
           > = [];
           for (let x = 0; x < subPrompts[i].length; x += 1) {
-            const choices: ChatCompletionResponseChoice[] = [];
+            const choices: MistralChatCompletionChoice[] = [];
             let response:
-              | Omit<ChatCompletionResponse, "choices" | "usage">
+              | Omit<MistralFIMCompletionResponse, "choices" | "usage">
               | undefined;
-            const stream = await this.completionWithRetry(
+              const stream = await this.completionWithRetry(
               {
                 ...params,
                 prompt: subPrompts[i][x],
@@ -202,32 +201,33 @@ Either provide one via the "apiKey" field in the constructor, or set the "MISTRA
               true
             );
             for await (const message of stream) {
+              const data = message.data
               // on the first message set the response properties
               if (!response) {
                 response = {
-                  id: message.id,
+                  id: data.id,
                   object: "chat.completion",
-                  created: message.created,
-                  model: message.model,
+                  created: data.created,
+                  model: data.model,
                 };
               }
 
               // on all messages, update choice
-              for (const part of message.choices) {
+              for (const part of data.choices) {
                 if (!choices[part.index]) {
                   choices[part.index] = {
                     index: part.index,
                     message: {
-                      role: part.delta.role ?? "assistant",
+                      role: "assistant",
                       content: part.delta.content ?? "",
-                      tool_calls: null,
+                      toolCalls: null,
                     },
-                    finish_reason: part.finish_reason,
+                    finishReason: part.finishReason ?? "model_length",
                   };
                 } else {
                   const choice = choices[part.index];
                   choice.message.content += part.delta.content ?? "";
-                  choice.finish_reason = part.finish_reason;
+                  choice.finishReason = part.finishReason ?? "model_length";
                 }
                 void runManager?.handleLLMNewToken(part.delta.content ?? "", {
                   prompt: part.index,
@@ -245,7 +245,7 @@ Either provide one via the "apiKey" field in the constructor, or set the "MISTRA
           }
           return responseData;
         } else {
-          const responseData: Array<ChatCompletionResponse> = [];
+          const responseData: Array<MistralFIMCompletionResponse> = [];
           for (let x = 0; x < subPrompts[i].length; x += 1) {
             const res = await this.completionWithRetry(
               {
@@ -261,14 +261,14 @@ Either provide one via the "apiKey" field in the constructor, or set the "MISTRA
         }
       })();
 
-      choices.push(...data.map((d) => d.choices));
+      choices.push(...data.map((d) => d.choices ?? []));
     }
 
     const generations = choices.map((promptChoices) =>
       promptChoices.map((choice) => ({
         text: choice.message.content ?? "",
         generationInfo: {
-          finishReason: choice.finish_reason,
+          finishReason: choice.finishReason,
         },
       }))
     );
@@ -278,45 +278,44 @@ Either provide one via the "apiKey" field in the constructor, or set the "MISTRA
   }
 
   async completionWithRetry(
-    request: CompletionRequest,
+    request: MistralFIMCompletionRequest,
     options: this["ParsedCallOptions"],
     stream: false
-  ): Promise<ChatCompletionResponse>;
+  ): Promise<MistralFIMCompletionResponse>;
 
   async completionWithRetry(
-    request: CompletionRequest,
+    request: MistralFIMCompletionStreamRequest,
     options: this["ParsedCallOptions"],
     stream: true
-  ): Promise<AsyncGenerator<ChatCompletionResponseChunk, void>>;
+  ): Promise<AsyncIterable<MistralCompletionEvent>>;
 
   async completionWithRetry(
-    request: CompletionRequest,
+    request: MistralFIMCompletionRequest | MistralFIMCompletionStreamRequest,
     options: this["ParsedCallOptions"],
     stream: boolean
   ): Promise<
-    | ChatCompletionResponse
-    | AsyncGenerator<ChatCompletionResponseChunk, void, unknown>
+    MistralFIMCompletionResponse | AsyncIterable<MistralCompletionEvent>
   > {
-    const { MistralClient } = await this.imports();
+    const { Mistral } = await this.imports();
     const caller = new AsyncCaller({
       maxConcurrency: options.maxConcurrency || this.maxConcurrency,
       maxRetries: this.maxRetries,
     });
-    const client = new MistralClient(
-      this.apiKey,
-      this.endpoint,
-      this.maxRetries,
-      options.timeout
-    );
+    const client = new Mistral({
+      apiKey: this.apiKey,
+      serverURL: this.serverURL,
+      timeoutMs: options.timeout,
+      // this.maxRetries,
+    });
     return caller.callWithOptions(
       {
         signal: options.signal,
       },
       async () => {
         if (stream) {
-          return client.completionStream(request);
+          return client.fim.stream(request);
         } else {
-          return client.completion(request);
+          return client.fim.complete(request);
         }
       }
     );
@@ -332,7 +331,8 @@ Either provide one via the "apiKey" field in the constructor, or set the "MISTRA
       prompt,
     };
     const stream = await this.completionWithRetry(params, options, true);
-    for await (const data of stream) {
+    for await (const message of stream) {
+      const data = message.data
       const choice = data?.choices[0];
       if (!choice) {
         continue;
@@ -340,7 +340,7 @@ Either provide one via the "apiKey" field in the constructor, or set the "MISTRA
       const chunk = new GenerationChunk({
         text: choice.delta.content ?? "",
         generationInfo: {
-          finishReason: choice.finish_reason,
+          finishReason: choice.finishReason,
           tokenUsage: data.usage,
         },
       });
@@ -355,7 +355,7 @@ Either provide one via the "apiKey" field in the constructor, or set the "MISTRA
 
   /** @ignore */
   private async imports() {
-    const { default: MistralClient } = await import("@mistralai/mistralai");
-    return { MistralClient };
+    const { Mistral } = await import("@mistralai/mistralai");
+    return { Mistral };
   }
 }
diff --git a/yarn.lock b/yarn.lock
index 2114b12d70a0..18b9eab032c7 100644
--- a/yarn.lock
+++ b/yarn.lock
@@ -12062,7 +12062,7 @@ __metadata:
   resolution: "@langchain/mistralai@npm:0.0.26"
   dependencies:
     "@langchain/core": ">=0.2.16 <0.3.0"
-    "@mistralai/mistralai": ^0.4.0
+    "@mistralai/mistralai": ^1.1.0
     uuid: ^10.0.0
     zod: ^3.22.4
     zod-to-json-schema: ^3.22.4
@@ -12078,7 +12078,7 @@ __metadata:
     "@langchain/core": ">=0.2.21 <0.3.0"
     "@langchain/scripts": ~0.0.20
     "@langchain/standard-tests": 0.0.0
-    "@mistralai/mistralai": ^1.0.2
+    "@mistralai/mistralai": ^1.1.0
     "@swc/core": ^1.3.90
     "@swc/jest": ^0.2.29
     "@tsconfig/recommended": ^1.0.3
@@ -12100,7 +12100,7 @@ __metadata:
     ts-jest: ^29.1.0
     typescript: <5.2.0
     uuid: ^10.0.0
-    zod: ^3.22.4
+    zod: ^3.23.8
     zod-to-json-schema: ^3.22.4
   languageName: unknown
   linkType: soft

From f5cbdff0e4e8e02321dae924f7a2f38aa4cb73a7 Mon Sep 17 00:00:00 2001
From: CarterMorris <carter.morris@mail.utoronto.ca>
Date: Tue, 29 Oct 2024 17:49:46 -0400
Subject: [PATCH 004/344] Added support for ContentChunk message type input to
 chat model

---
 libs/langchain-mistralai/src/chat_models.ts | 77 ++++++++++++++++-----
 libs/langchain-mistralai/src/llms.ts        | 34 ++++++---
 2 files changed, 85 insertions(+), 26 deletions(-)

diff --git a/libs/langchain-mistralai/src/chat_models.ts b/libs/langchain-mistralai/src/chat_models.ts
index 09c290f61e1b..0ac17166326c 100644
--- a/libs/langchain-mistralai/src/chat_models.ts
+++ b/libs/langchain-mistralai/src/chat_models.ts
@@ -1,21 +1,11 @@
 import { v4 as uuidv4 } from "uuid";
-import {
-  Mistral as MistralClient,
-  // MistralChatCompletionResponse,
-  // Function as MistralAIFunction,
-  // ToolCalls as MistralAIToolCalls,
-  // ResponseFormat,
-  // MistralChatCompletionResponseChunk,
-  // ChatRequest,
-  // Tool as MistralAITool,
-  // Message as MistralAIMessage,
-  // TokenUsage as MistralAITokenUsage,
-} from "@mistralai/mistralai";
+import { Mistral as MistralClient } from "@mistralai/mistralai";
 import {
   ChatCompletionRequest as MistralAIChatCompletionRequest,
   ChatCompletionRequestToolChoice as MistralAIToolChoice,
   Messages as MistralAIMessage,
 } from "@mistralai/mistralai/models/components/chatcompletionrequest.js";
+import { ContentChunk } from "@mistralai/mistralai/models/components/contentchunk.js";
 import { Tool as MistralAITool } from "@mistralai/mistralai/models/components/tool.js";
 import { ToolCall as MistralAIToolCall } from "@mistralai/mistralai/models/components/toolcall.js";
 import { ChatCompletionStreamRequest as MistralChatCompletionStreamRequest } from "@mistralai/mistralai/models/components/chatcompletionstreamrequest.js";
@@ -192,12 +182,59 @@ function convertMessagesToMistralMessages(
     }
   };
 
-  const getContent = (content: MessageContent): string => {
+  const getContent = (content: MessageContent, role: MessageType): string | ContentChunk[] => {
+    const mistralRole = getRole(role)
+
     if (typeof content === "string") {
       return content;
     }
+    else if (Array.isArray(content)) {
+      if (mistralRole === "user") {
+        return content.map((messageContentComplex) => {
+          if (messageContentComplex?.type === "image_url") {
+            return {
+              type: messageContentComplex.type,
+              imageUrl: messageContentComplex?.image_url
+            } as ContentChunk;
+          }
+          else if (messageContentComplex?.type === "text"){
+            return {
+              type: messageContentComplex.type,
+              text: messageContentComplex?.text
+            } as ContentChunk;
+          }
+          throw new Error(
+            `ChatMistralAI only supports messages of type MessageContentText
+              and MessageContentImageUrl for role "human". Received: ${JSON.stringify(
+              content,
+              null,
+              2
+            )}`
+          );
+        });
+      }
+      else if (mistralRole === "system") {
+        return content.map((messageContentComplex) => {
+          if (messageContentComplex?.type === "text"){
+            return {
+              type: messageContentComplex.type,
+              text: messageContentComplex?.text
+            } as ContentChunk;
+          }
+          throw new Error(
+            `ChatMistralAI only supports messages of type MessageContentText
+              for role "system". Received: ${JSON.stringify(
+              content,
+              null,
+              2
+            )}`
+          );
+        });
+      }
+    }
     throw new Error(
-      `ChatMistralAI does not support non text message content. Received: ${JSON.stringify(
+      `ChatMistralAI does not support non text message content for role "ai", "tool", 
+        or "function". Received: ${JSON.stringify(
         content,
         null,
         2
@@ -228,22 +265,28 @@ function convertMessagesToMistralMessages(
 
   return messages.map((message) => {
     const toolCalls = getTools(message);
-    const content = toolCalls === undefined ? getContent(message.content) : "";
+    const content = getContent(message.content, message._getType());
     if ("tool_call_id" in message && typeof message.tool_call_id === "string") {
       return {
         role: getRole(message._getType()),
         content,
         name: message.name,
-        tool_call_id: _convertToolCallIdToMistralCompatible(
+        toolCallId: _convertToolCallIdToMistralCompatible(
           message.tool_call_id
         ),
       };
     }
+    else if (isAIMessage(message)) {
+      return {
+        role: getRole(message._getType()),
+        content,
+        toolCalls: toolCalls,
+      };
+    }
 
     return {
       role: getRole(message._getType()),
       content,
-      tool_calls: toolCalls,
     };
   }) as MistralAIMessage[];
 }
diff --git a/libs/langchain-mistralai/src/llms.ts b/libs/langchain-mistralai/src/llms.ts
index bb35df375974..e39501935a51 100644
--- a/libs/langchain-mistralai/src/llms.ts
+++ b/libs/langchain-mistralai/src/llms.ts
@@ -6,7 +6,7 @@ import { FIMCompletionRequest as MistralFIMCompletionRequest } from "@mistralai/
 import { FIMCompletionStreamRequest as MistralFIMCompletionStreamRequest} from "@mistralai/mistralai/models/components/fimcompletionstreamrequest.js";
 import { FIMCompletionResponse as MistralFIMCompletionResponse } from "@mistralai/mistralai/models/components/fimcompletionresponse.js";
 import { ChatCompletionChoice as MistralChatCompletionChoice} from "@mistralai/mistralai/models/components/chatcompletionchoice.js";
-import { CompletionEvent as MistralCompletionEvent } from "@mistralai/mistralai/models/components/completionevent.js";
+import { CompletionEvent as MistralChatCompletionEvent } from "@mistralai/mistralai/models/components/completionevent.js";
 import { getEnvironmentVariable } from "@langchain/core/utils/env";
 import { chunkArray } from "@langchain/core/utils/chunk_array";
 import { AsyncCaller } from "@langchain/core/utils/async_caller";
@@ -200,8 +200,7 @@ Either provide one via the "apiKey" field in the constructor, or set the "MISTRA
               options,
               true
             );
-            for await (const message of stream) {
-              const data = message.data
+            for await (const { data } of stream) {
               // on the first message set the response properties
               if (!response) {
                 response = {
@@ -287,14 +286,14 @@ Either provide one via the "apiKey" field in the constructor, or set the "MISTRA
     request: MistralFIMCompletionStreamRequest,
     options: this["ParsedCallOptions"],
     stream: true
-  ): Promise<AsyncIterable<MistralCompletionEvent>>;
+  ): Promise<AsyncIterable<MistralChatCompletionEvent>>;
 
   async completionWithRetry(
     request: MistralFIMCompletionRequest | MistralFIMCompletionStreamRequest,
     options: this["ParsedCallOptions"],
     stream: boolean
   ): Promise<
-    MistralFIMCompletionResponse | AsyncIterable<MistralCompletionEvent>
+    MistralFIMCompletionResponse | AsyncIterable<MistralChatCompletionEvent>
   > {
     const { Mistral } = await this.imports();
     const caller = new AsyncCaller({
@@ -312,10 +311,27 @@ Either provide one via the "apiKey" field in the constructor, or set the "MISTRA
         signal: options.signal,
       },
       async () => {
-        if (stream) {
-          return client.fim.stream(request);
-        } else {
-          return client.fim.complete(request);
+        try {
+          let res:
+            | MistralFIMCompletionResponse
+            | AsyncIterable<MistralChatCompletionEvent>;
+          if (stream) {
+            res = await client.fim.stream(request);
+          } else {
+            res = await client.fim.complete(request);
+          }
+          return res;
+          // eslint-disable-next-line @typescript-eslint/no-explicit-any
+        } catch (e: any) {
+          console.log(e, e.status, e.code, e.statusCode, e.message);
+          if (
+            e.message?.includes("status: 400") ||
+            e.message?.toLowerCase().includes("status 400") ||
+            e.message?.includes("validation failed")
+          ) {
+            e.status = 400;
+          }
+          throw e;
         }
       }
     );

From c4e643360718eb11b2779558f403987a694448c7 Mon Sep 17 00:00:00 2001
From: CarterMorris <carter.morris@mail.utoronto.ca>
Date: Wed, 30 Oct 2024 16:15:58 -0400
Subject: [PATCH 005/344] Added delta msg null type options and fixed
 shouldStream nullish coalescing

---
 libs/langchain-mistralai/src/chat_models.ts | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/libs/langchain-mistralai/src/chat_models.ts b/libs/langchain-mistralai/src/chat_models.ts
index 0ac17166326c..ad2dae3bffa4 100644
--- a/libs/langchain-mistralai/src/chat_models.ts
+++ b/libs/langchain-mistralai/src/chat_models.ts
@@ -344,8 +344,8 @@ function mistralAIResponseToChatMessage(
 function _convertDeltaToMessageChunk(
   delta: {
     role?: string | undefined;
-    content?: string | undefined;
-    tool_calls?: MistralAIToolCall[] | undefined;
+    content?: string | null | undefined;
+    tool_calls?: MistralAIToolCall[] | null | undefined;
   },
   usage?: MistralAITokenUsage | null
 ) {
@@ -962,7 +962,7 @@ export class ChatMistralAI<
 
     // Enable streaming for signal controller or timeout due
     // to SDK limitations on canceling requests.
-    const shouldStream = !!options.signal ?? !!options.timeout;
+    const shouldStream = options.signal ?? !!options.timeout;
 
     // Handle streaming
     if (this.streaming || shouldStream) {

From 6894fbbb19dbbcc371ce7a9e14be213676bd96d6 Mon Sep 17 00:00:00 2001
From: Ashtian <ashtian.delacruz@mail.utoronto.ca>
Date: Wed, 30 Oct 2024 22:01:26 -0400
Subject: [PATCH 006/344] simplified logic for getContent()

---
 libs/langchain-mistralai/src/chat_models.ts | 78 +++++++++------------
 1 file changed, 33 insertions(+), 45 deletions(-)

diff --git a/libs/langchain-mistralai/src/chat_models.ts b/libs/langchain-mistralai/src/chat_models.ts
index ad2dae3bffa4..12063594d009 100644
--- a/libs/langchain-mistralai/src/chat_models.ts
+++ b/libs/langchain-mistralai/src/chat_models.ts
@@ -5,7 +5,7 @@ import {
   ChatCompletionRequestToolChoice as MistralAIToolChoice,
   Messages as MistralAIMessage,
 } from "@mistralai/mistralai/models/components/chatcompletionrequest.js";
-import { ContentChunk } from "@mistralai/mistralai/models/components/contentchunk.js";
+import { ContentChunk, ContentChunk$ } from "@mistralai/mistralai/models/components/contentchunk.js";
 import { Tool as MistralAITool } from "@mistralai/mistralai/models/components/tool.js";
 import { ToolCall as MistralAIToolCall } from "@mistralai/mistralai/models/components/toolcall.js";
 import { ChatCompletionStreamRequest as MistralChatCompletionStreamRequest } from "@mistralai/mistralai/models/components/chatcompletionstreamrequest.js";
@@ -183,55 +183,43 @@ function convertMessagesToMistralMessages(
   };
 
   const getContent = (content: MessageContent, role: MessageType): string | ContentChunk[] => {
-    const mistralRole = getRole(role)
+    const mistralRole = getRole(role);
+
+    const _generateContentChunk = (complex: any, role: string): ContentChunk => {
+      if (complex.type === "image_url" && role === "user") {
+        return {
+          type: complex.type,
+          imageUrl: complex?.image_url
+        } as ContentChunk;
+      }
+      
+      if (complex.type === "text" && (role === "user" || role === "system")){
+        return {
+          type: complex.type,
+          text: complex?.text
+        } as ContentChunk;
+      }
+
+      throw new Error(
+        `ChatMistralAI only supports messages of type MessageContentText for role "human"
+          and "system" and MessageContentImageUrl for role "human". Received: ${JSON.stringify(
+          content,
+          null,
+          2
+        )}`
+      );
+    }
 
     if (typeof content === "string") {
       return content;
     }
-    else if (Array.isArray(content)) {
-      if (mistralRole === "user") {
-        return content.map((messageContentComplex) => {
-          if (messageContentComplex?.type === "image_url") {
-            return {
-              type: messageContentComplex.type,
-              imageUrl: messageContentComplex?.image_url
-            } as ContentChunk;
-          }
-          else if (messageContentComplex?.type === "text"){
-            return {
-              type: messageContentComplex.type,
-              text: messageContentComplex?.text
-            } as ContentChunk;
-          }
-          throw new Error(
-            `ChatMistralAI only supports messages of type MessageContentText
-              and MessageContentImageUrl for role "human". Received: ${JSON.stringify(
-              content,
-              null,
-              2
-            )}`
-          );
-        });
-      }
-      else if (mistralRole === "system") {
-        return content.map((messageContentComplex) => {
-          if (messageContentComplex?.type === "text"){
-            return {
-              type: messageContentComplex.type,
-              text: messageContentComplex?.text
-            } as ContentChunk;
-          }
-          throw new Error(
-            `ChatMistralAI only supports messages of type MessageContentText
-              for role "system". Received: ${JSON.stringify(
-              content,
-              null,
-              2
-            )}`
-          );
-        });
-      }
+    
+    if (Array.isArray(content)) {
+      return content.map((messageContentComplex) => {
+        return _generateContentChunk(messageContentComplex, mistralRole);
+      });
     }
+    
     throw new Error(
       `ChatMistralAI does not support non text message content for role "ai", "tool", 
         or "function". Received: ${JSON.stringify(

From 4150202a3f9502ee4778bb0aef7a32cb373d0c85 Mon Sep 17 00:00:00 2001
From: Ashtian <ashtian.delacruz@mail.utoronto.ca>
Date: Sun, 3 Nov 2024 08:55:21 -0500
Subject: [PATCH 007/344] Added support for new HTTPClient feature in v1.1.0

---
 libs/langchain-mistralai/src/chat_models.ts | 16 ++++++++++++++++
 libs/langchain-mistralai/src/embeddings.ts  | 13 ++++++++++++-
 libs/langchain-mistralai/src/llms.ts        | 12 +++++++++++-
 3 files changed, 39 insertions(+), 2 deletions(-)

diff --git a/libs/langchain-mistralai/src/chat_models.ts b/libs/langchain-mistralai/src/chat_models.ts
index 12063594d009..1c57c1619c79 100644
--- a/libs/langchain-mistralai/src/chat_models.ts
+++ b/libs/langchain-mistralai/src/chat_models.ts
@@ -12,6 +12,7 @@ import { ChatCompletionStreamRequest as MistralChatCompletionStreamRequest } fro
 import { UsageInfo as MistralAITokenUsage } from "@mistralai/mistralai/models/components/usageinfo.js";
 import { CompletionEvent as MistralAIChatCompletionEvent } from "@mistralai/mistralai/models/components/completionevent.js";
 import { ChatCompletionResponse as MistralChatCompletionResponse } from "@mistralai/mistralai/models/components/chatcompletionresponse.js";
+import { HTTPClient } from "@mistralai/mistralai/lib/http.js";
 import {
   MessageType,
   type BaseMessage,
@@ -160,6 +161,11 @@ export interface ChatMistralAIInput
    * The seed to use for random sampling. If set, different calls will generate deterministic results.
    */
   seed?: number;
+  /**
+   * 
+   */
+  httpClient?: HTTPClient | undefined;
+  
 }
 
 function convertMessagesToMistralMessages(
@@ -811,6 +817,12 @@ export class ChatMistralAI<
 
   streamUsage = true;
 
+  /**
+   * Optional custom HTTP client to manage API requests
+   * Allows users to add custom fetch implementations, hooks, as well as error and response processing.
+   */
+  httpClient?: HTTPClient;
+
   constructor(fields?: ChatMistralAIInput) {
     super(fields ?? {});
     const apiKey = fields?.apiKey ?? getEnvironmentVariable("MISTRAL_API_KEY");
@@ -828,9 +840,11 @@ export class ChatMistralAI<
     this.safePrompt = fields?.safePrompt ?? this.safePrompt;
     this.randomSeed = fields?.seed ?? fields?.randomSeed ?? this.seed;
     this.seed = this.randomSeed;
+    this.httpClient = fields?.httpClient;
     this.modelName = fields?.model ?? fields?.modelName ?? this.model;
     this.model = this.modelName;
     this.streamUsage = fields?.streamUsage ?? this.streamUsage;
+    this.httpClient = fields?.httpClient ?? undefined;
   }
 
   getLsParams(options: this["ParsedCallOptions"]): LangSmithParams {
@@ -906,6 +920,8 @@ export class ChatMistralAI<
     const client = new MistralClient({
       apiKey: this.apiKey,
       serverURL: this.serverURL,
+      // If httpClient exists, pass it into constructor
+      ...( this.httpClient ? {httpCLient: this.httpClient} : {})
     });
 
     return this.caller.call(async () => {
diff --git a/libs/langchain-mistralai/src/embeddings.ts b/libs/langchain-mistralai/src/embeddings.ts
index b80186218d3f..5faefc35ac69 100644
--- a/libs/langchain-mistralai/src/embeddings.ts
+++ b/libs/langchain-mistralai/src/embeddings.ts
@@ -3,6 +3,7 @@ import { Embeddings, type EmbeddingsParams } from "@langchain/core/embeddings";
 import { chunkArray } from "@langchain/core/utils/chunk_array";
 import { EmbeddingRequest as MistralAIEmbeddingsRequest} from "@mistralai/mistralai/src/models/components/embeddingrequest.js";
 import { EmbeddingResponse as MistralAIEmbeddingsResult} from "@mistralai/mistralai/src/models/components/embeddingresponse.js";
+import { HTTPClient } from "@mistralai/mistralai/lib/http.js";
 
 /**
  * Interface for MistralAIEmbeddings parameters. Extends EmbeddingsParams and
@@ -45,6 +46,12 @@ export interface MistralAIEmbeddingsParams extends EmbeddingsParams {
    * @default {true}
    */
   stripNewLines?: boolean;
+  /**
+   * Optional custom HTTP client to manage API requests
+   * Allows users to add custom fetch implementations, hooks, as well as error and response processing.
+   */
+  httpCLient?: HTTPClient;
+
 }
 
 /**
@@ -68,6 +75,8 @@ export class MistralAIEmbeddings
 
   serverURL?: string;
 
+  httpClient?: HTTPClient;
+
   constructor(fields?: Partial<MistralAIEmbeddingsParams>) {
     super(fields ?? {});
     const apiKey = fields?.apiKey ?? getEnvironmentVariable("MISTRAL_API_KEY");
@@ -81,6 +90,7 @@ export class MistralAIEmbeddings
     this.encodingFormat = fields?.encodingFormat ?? this.encodingFormat;
     this.batchSize = fields?.batchSize ?? this.batchSize;
     this.stripNewLines = fields?.stripNewLines ?? this.stripNewLines;
+    this.httpClient = fields?.httpCLient ?? undefined;
   }
 
   /**
@@ -139,7 +149,8 @@ export class MistralAIEmbeddings
     const client = new Mistral({
       apiKey: this.apiKey, 
       serverURL: this.serverURL,
-      // Could add hooks here
+      // If httpClient exists, pass it into constructor
+      ...( this.httpClient ? {httpCLient: this.httpClient} : {})
     });
     let embeddingsRequest: MistralAIEmbeddingsRequest = {
       model: this.model,
diff --git a/libs/langchain-mistralai/src/llms.ts b/libs/langchain-mistralai/src/llms.ts
index e39501935a51..3e4e1529864d 100644
--- a/libs/langchain-mistralai/src/llms.ts
+++ b/libs/langchain-mistralai/src/llms.ts
@@ -7,6 +7,7 @@ import { FIMCompletionStreamRequest as MistralFIMCompletionStreamRequest} from "
 import { FIMCompletionResponse as MistralFIMCompletionResponse } from "@mistralai/mistralai/models/components/fimcompletionresponse.js";
 import { ChatCompletionChoice as MistralChatCompletionChoice} from "@mistralai/mistralai/models/components/chatcompletionchoice.js";
 import { CompletionEvent as MistralChatCompletionEvent } from "@mistralai/mistralai/models/components/completionevent.js";
+import { HTTPClient } from "@mistralai/mistralai/lib/http.js";
 import { getEnvironmentVariable } from "@langchain/core/utils/env";
 import { chunkArray } from "@langchain/core/utils/chunk_array";
 import { AsyncCaller } from "@langchain/core/utils/async_caller";
@@ -68,6 +69,11 @@ export interface MistralAIInput extends BaseLLMParams {
    * Batch size to use when passing multiple documents to generate
    */
   batchSize?: number;
+  /**
+   * Optional custom HTTP client to manage API requests
+   * Allows users to add custom fetch implementations, hooks, as well as error and response processing.
+   */
+  httpClient?: HTTPClient;
 }
 
 /**
@@ -103,6 +109,8 @@ export class MistralAI
 
   maxConcurrency?: number;
 
+  httpClient?: HTTPClient;
+
   constructor(fields?: MistralAIInput) {
     super(fields ?? {});
 
@@ -116,6 +124,7 @@ export class MistralAI
     this.serverURL = fields?.serverURL;
     this.maxRetries = fields?.maxRetries;
     this.maxConcurrency = fields?.maxConcurrency;
+    this.httpClient = fields?.httpClient ?? undefined;
 
     const apiKey = fields?.apiKey ?? getEnvironmentVariable("MISTRAL_API_KEY");
     if (!apiKey) {
@@ -304,7 +313,8 @@ Either provide one via the "apiKey" field in the constructor, or set the "MISTRA
       apiKey: this.apiKey,
       serverURL: this.serverURL,
       timeoutMs: options.timeout,
-      // this.maxRetries,
+      // If httpClient exists, pass it into constructor
+      ...( this.httpClient ? {httpCLient: this.httpClient} : {})
     });
     return caller.callWithOptions(
       {

From 284c2fc043f12870b32174672e87e0e9e95ea697 Mon Sep 17 00:00:00 2001
From: CarterMorris <carter.morris@mail.utoronto.ca>
Date: Tue, 5 Nov 2024 16:09:54 -0500
Subject: [PATCH 008/344] Unified mistral import naming scheme

---
 libs/langchain-mistralai/src/chat_models.ts | 35 ++++++++-------
 libs/langchain-mistralai/src/embeddings.ts  | 16 +++----
 libs/langchain-mistralai/src/llms.ts        | 48 ++++++++++-----------
 3 files changed, 49 insertions(+), 50 deletions(-)

diff --git a/libs/langchain-mistralai/src/chat_models.ts b/libs/langchain-mistralai/src/chat_models.ts
index 1c57c1619c79..0b7dfa4d7724 100644
--- a/libs/langchain-mistralai/src/chat_models.ts
+++ b/libs/langchain-mistralai/src/chat_models.ts
@@ -5,14 +5,14 @@ import {
   ChatCompletionRequestToolChoice as MistralAIToolChoice,
   Messages as MistralAIMessage,
 } from "@mistralai/mistralai/models/components/chatcompletionrequest.js";
-import { ContentChunk, ContentChunk$ } from "@mistralai/mistralai/models/components/contentchunk.js";
+import { ContentChunk as MistralAIContentChunk} from "@mistralai/mistralai/models/components/contentchunk.js";
 import { Tool as MistralAITool } from "@mistralai/mistralai/models/components/tool.js";
 import { ToolCall as MistralAIToolCall } from "@mistralai/mistralai/models/components/toolcall.js";
-import { ChatCompletionStreamRequest as MistralChatCompletionStreamRequest } from "@mistralai/mistralai/models/components/chatcompletionstreamrequest.js";
+import { ChatCompletionStreamRequest as MistralAIChatCompletionStreamRequest } from "@mistralai/mistralai/models/components/chatcompletionstreamrequest.js";
 import { UsageInfo as MistralAITokenUsage } from "@mistralai/mistralai/models/components/usageinfo.js";
 import { CompletionEvent as MistralAIChatCompletionEvent } from "@mistralai/mistralai/models/components/completionevent.js";
-import { ChatCompletionResponse as MistralChatCompletionResponse } from "@mistralai/mistralai/models/components/chatcompletionresponse.js";
-import { HTTPClient } from "@mistralai/mistralai/lib/http.js";
+import { ChatCompletionResponse as MistralAIChatCompletionResponse } from "@mistralai/mistralai/models/components/chatcompletionresponse.js";
+import { HTTPClient as MistralAIHTTPClient} from "@mistralai/mistralai/lib/http.js";
 import {
   MessageType,
   type BaseMessage,
@@ -164,7 +164,7 @@ export interface ChatMistralAIInput
   /**
    * 
    */
-  httpClient?: HTTPClient | undefined;
+  httpClient?: MistralAIHTTPClient | undefined;
   
 }
 
@@ -188,22 +188,22 @@ function convertMessagesToMistralMessages(
     }
   };
 
-  const getContent = (content: MessageContent, role: MessageType): string | ContentChunk[] => {
+  const getContent = (content: MessageContent, role: MessageType): string | MistralAIContentChunk[] => {
     const mistralRole = getRole(role);
 
-    const _generateContentChunk = (complex: any, role: string): ContentChunk => {
+    const _generateContentChunk = (complex: any, role: string): MistralAIContentChunk => {
       if (complex.type === "image_url" && role === "user") {
         return {
           type: complex.type,
           imageUrl: complex?.image_url
-        } as ContentChunk;
+        } as MistralAIContentChunk;
       }
       
       if (complex.type === "text" && (role === "user" || role === "system")){
         return {
           type: complex.type,
           text: complex?.text
-        } as ContentChunk;
+        } as MistralAIContentChunk;
       }
 
       throw new Error(
@@ -286,7 +286,7 @@ function convertMessagesToMistralMessages(
 }
 
 function mistralAIResponseToChatMessage(
-  choice: NonNullable<MistralChatCompletionResponse["choices"]>[0],
+  choice: NonNullable<MistralAIChatCompletionResponse["choices"]>[0],
   usage?: MistralAITokenUsage
 ): BaseMessage {
   const { message } = choice;
@@ -821,7 +821,7 @@ export class ChatMistralAI<
    * Optional custom HTTP client to manage API requests
    * Allows users to add custom fetch implementations, hooks, as well as error and response processing.
    */
-  httpClient?: HTTPClient;
+  httpClient?: MistralAIHTTPClient;
 
   constructor(fields?: ChatMistralAIInput) {
     super(fields ?? {});
@@ -840,7 +840,6 @@ export class ChatMistralAI<
     this.safePrompt = fields?.safePrompt ?? this.safePrompt;
     this.randomSeed = fields?.seed ?? fields?.randomSeed ?? this.seed;
     this.seed = this.randomSeed;
-    this.httpClient = fields?.httpClient;
     this.modelName = fields?.model ?? fields?.modelName ?? this.model;
     this.model = this.modelName;
     this.streamUsage = fields?.streamUsage ?? this.streamUsage;
@@ -902,32 +901,32 @@ export class ChatMistralAI<
    * @returns {Promise<MistralAIChatCompletionResult | AsyncGenerator<MistralAIChatCompletionResult>>} The response from the MistralAI API.
    */
   async completionWithRetry(
-    input: MistralChatCompletionStreamRequest,
+    input: MistralAIChatCompletionStreamRequest,
     streaming: true
   ): Promise<AsyncIterable<MistralAIChatCompletionEvent>>;
 
   async completionWithRetry(
     input: MistralAIChatCompletionRequest,
     streaming: false
-  ): Promise<MistralChatCompletionResponse>;
+  ): Promise<MistralAIChatCompletionResponse>;
 
   async completionWithRetry(
-    input: MistralAIChatCompletionRequest | MistralChatCompletionStreamRequest,
+    input: MistralAIChatCompletionRequest | MistralAIChatCompletionStreamRequest,
     streaming: boolean
   ): Promise<
-    MistralChatCompletionResponse | AsyncIterable<MistralAIChatCompletionEvent>
+    MistralAIChatCompletionResponse | AsyncIterable<MistralAIChatCompletionEvent>
   > {
     const client = new MistralClient({
       apiKey: this.apiKey,
       serverURL: this.serverURL,
       // If httpClient exists, pass it into constructor
-      ...( this.httpClient ? {httpCLient: this.httpClient} : {})
+      ...( this.httpClient ? {httpClient: this.httpClient} : {})
     });
 
     return this.caller.call(async () => {
       try {
         let res:
-          | MistralChatCompletionResponse
+          | MistralAIChatCompletionResponse
           | AsyncIterable<MistralAIChatCompletionEvent>;
         if (streaming) {
           res = await client.chat.stream(input);
diff --git a/libs/langchain-mistralai/src/embeddings.ts b/libs/langchain-mistralai/src/embeddings.ts
index 5faefc35ac69..6b10f9b7d654 100644
--- a/libs/langchain-mistralai/src/embeddings.ts
+++ b/libs/langchain-mistralai/src/embeddings.ts
@@ -2,8 +2,8 @@ import { getEnvironmentVariable } from "@langchain/core/utils/env";
 import { Embeddings, type EmbeddingsParams } from "@langchain/core/embeddings";
 import { chunkArray } from "@langchain/core/utils/chunk_array";
 import { EmbeddingRequest as MistralAIEmbeddingsRequest} from "@mistralai/mistralai/src/models/components/embeddingrequest.js";
-import { EmbeddingResponse as MistralAIEmbeddingsResult} from "@mistralai/mistralai/src/models/components/embeddingresponse.js";
-import { HTTPClient } from "@mistralai/mistralai/lib/http.js";
+import { EmbeddingResponse as MistralAIEmbeddingsResponse} from "@mistralai/mistralai/src/models/components/embeddingresponse.js";
+import { HTTPClient as MistralAIHTTPClient} from "@mistralai/mistralai/lib/http.js";
 
 /**
  * Interface for MistralAIEmbeddings parameters. Extends EmbeddingsParams and
@@ -50,7 +50,7 @@ export interface MistralAIEmbeddingsParams extends EmbeddingsParams {
    * Optional custom HTTP client to manage API requests
    * Allows users to add custom fetch implementations, hooks, as well as error and response processing.
    */
-  httpCLient?: HTTPClient;
+  httpClient?: MistralAIHTTPClient;
 
 }
 
@@ -75,7 +75,7 @@ export class MistralAIEmbeddings
 
   serverURL?: string;
 
-  httpClient?: HTTPClient;
+  httpClient?: MistralAIHTTPClient;
 
   constructor(fields?: Partial<MistralAIEmbeddingsParams>) {
     super(fields ?? {});
@@ -90,7 +90,7 @@ export class MistralAIEmbeddings
     this.encodingFormat = fields?.encodingFormat ?? this.encodingFormat;
     this.batchSize = fields?.batchSize ?? this.batchSize;
     this.stripNewLines = fields?.stripNewLines ?? this.stripNewLines;
-    this.httpClient = fields?.httpCLient ?? undefined;
+    this.httpClient = fields?.httpClient ?? undefined;
   }
 
   /**
@@ -140,17 +140,17 @@ export class MistralAIEmbeddings
    * embeddings. Handles the retry logic and returns the response from the
    * API.
    * @param {string | Array<string>} inputs Text to send to the MistralAI API.
-   * @returns {Promise<MistralAIEmbeddingsResult>} Promise that resolves to the response from the API.
+   * @returns {Promise<MistralAIEmbeddingsResponse>} Promise that resolves to the response from the API.
    */
   private async embeddingWithRetry(
     inputs: string | Array<string>
-  ): Promise<MistralAIEmbeddingsResult> {
+  ): Promise<MistralAIEmbeddingsResponse> {
     const { Mistral } = await this.imports();
     const client = new Mistral({
       apiKey: this.apiKey, 
       serverURL: this.serverURL,
       // If httpClient exists, pass it into constructor
-      ...( this.httpClient ? {httpCLient: this.httpClient} : {})
+      ...( this.httpClient ? {httpClient: this.httpClient} : {})
     });
     let embeddingsRequest: MistralAIEmbeddingsRequest = {
       model: this.model,
diff --git a/libs/langchain-mistralai/src/llms.ts b/libs/langchain-mistralai/src/llms.ts
index 3e4e1529864d..48b300ceb816 100644
--- a/libs/langchain-mistralai/src/llms.ts
+++ b/libs/langchain-mistralai/src/llms.ts
@@ -2,12 +2,12 @@ import { CallbackManagerForLLMRun } from "@langchain/core/callbacks/manager";
 import { BaseLLMParams, LLM } from "@langchain/core/language_models/llms";
 import { type BaseLanguageModelCallOptions } from "@langchain/core/language_models/base";
 import { GenerationChunk, LLMResult } from "@langchain/core/outputs";
-import { FIMCompletionRequest as MistralFIMCompletionRequest } from "@mistralai/mistralai/models/components/fimcompletionrequest.js";
-import { FIMCompletionStreamRequest as MistralFIMCompletionStreamRequest} from "@mistralai/mistralai/models/components/fimcompletionstreamrequest.js";
-import { FIMCompletionResponse as MistralFIMCompletionResponse } from "@mistralai/mistralai/models/components/fimcompletionresponse.js";
-import { ChatCompletionChoice as MistralChatCompletionChoice} from "@mistralai/mistralai/models/components/chatcompletionchoice.js";
-import { CompletionEvent as MistralChatCompletionEvent } from "@mistralai/mistralai/models/components/completionevent.js";
-import { HTTPClient } from "@mistralai/mistralai/lib/http.js";
+import { FIMCompletionRequest as MistralAIFIMCompletionRequest } from "@mistralai/mistralai/models/components/fimcompletionrequest.js";
+import { FIMCompletionStreamRequest as MistralAIFIMCompletionStreamRequest} from "@mistralai/mistralai/models/components/fimcompletionstreamrequest.js";
+import { FIMCompletionResponse as MistralAIFIMCompletionResponse } from "@mistralai/mistralai/models/components/fimcompletionresponse.js";
+import { ChatCompletionChoice as MistralAIChatCompletionChoice} from "@mistralai/mistralai/models/components/chatcompletionchoice.js";
+import { CompletionEvent as MistralAIChatCompletionEvent } from "@mistralai/mistralai/models/components/completionevent.js";
+import { HTTPClient as MistralAIHTTPClient} from "@mistralai/mistralai/lib/http.js";
 import { getEnvironmentVariable } from "@langchain/core/utils/env";
 import { chunkArray } from "@langchain/core/utils/chunk_array";
 import { AsyncCaller } from "@langchain/core/utils/async_caller";
@@ -73,7 +73,7 @@ export interface MistralAIInput extends BaseLLMParams {
    * Optional custom HTTP client to manage API requests
    * Allows users to add custom fetch implementations, hooks, as well as error and response processing.
    */
-  httpClient?: HTTPClient;
+  httpClient?: MistralAIHTTPClient;
 }
 
 /**
@@ -109,7 +109,7 @@ export class MistralAI
 
   maxConcurrency?: number;
 
-  httpClient?: HTTPClient;
+  httpClient?: MistralAIHTTPClient;
 
   constructor(fields?: MistralAIInput) {
     super(fields ?? {});
@@ -148,7 +148,7 @@ Either provide one via the "apiKey" field in the constructor, or set the "MISTRA
 
   invocationParams(
     options: this["ParsedCallOptions"]
-  ): Omit<MistralFIMCompletionRequest | MistralFIMCompletionStreamRequest, "prompt"> {
+  ): Omit<MistralAIFIMCompletionRequest | MistralAIFIMCompletionStreamRequest, "prompt"> {
     return {
       model: this.model,
       suffix: options.suffix,
@@ -184,7 +184,7 @@ Either provide one via the "apiKey" field in the constructor, or set the "MISTRA
     runManager?: CallbackManagerForLLMRun
   ): Promise<LLMResult> {
     const subPrompts = chunkArray(prompts, this.batchSize);
-    const choices: MistralChatCompletionChoice[][] = [];
+    const choices: MistralAIChatCompletionChoice[][] = [];
 
     const params = this.invocationParams(options);
 
@@ -192,14 +192,14 @@ Either provide one via the "apiKey" field in the constructor, or set the "MISTRA
       const data = await (async () => {
         if (this.streaming) {
           const responseData: Array<
-            { choices: MistralChatCompletionChoice[] } & Partial<
-              Omit<MistralFIMCompletionResponse, "choices">
+            { choices: MistralAIChatCompletionChoice[] } & Partial<
+              Omit<MistralAIFIMCompletionResponse, "choices">
             >
           > = [];
           for (let x = 0; x < subPrompts[i].length; x += 1) {
-            const choices: MistralChatCompletionChoice[] = [];
+            const choices: MistralAIChatCompletionChoice[] = [];
             let response:
-              | Omit<MistralFIMCompletionResponse, "choices" | "usage">
+              | Omit<MistralAIFIMCompletionResponse, "choices" | "usage">
               | undefined;
               const stream = await this.completionWithRetry(
               {
@@ -253,7 +253,7 @@ Either provide one via the "apiKey" field in the constructor, or set the "MISTRA
           }
           return responseData;
         } else {
-          const responseData: Array<MistralFIMCompletionResponse> = [];
+          const responseData: Array<MistralAIFIMCompletionResponse> = [];
           for (let x = 0; x < subPrompts[i].length; x += 1) {
             const res = await this.completionWithRetry(
               {
@@ -286,23 +286,23 @@ Either provide one via the "apiKey" field in the constructor, or set the "MISTRA
   }
 
   async completionWithRetry(
-    request: MistralFIMCompletionRequest,
+    request: MistralAIFIMCompletionRequest,
     options: this["ParsedCallOptions"],
     stream: false
-  ): Promise<MistralFIMCompletionResponse>;
+  ): Promise<MistralAIFIMCompletionResponse>;
 
   async completionWithRetry(
-    request: MistralFIMCompletionStreamRequest,
+    request: MistralAIFIMCompletionStreamRequest,
     options: this["ParsedCallOptions"],
     stream: true
-  ): Promise<AsyncIterable<MistralChatCompletionEvent>>;
+  ): Promise<AsyncIterable<MistralAIChatCompletionEvent>>;
 
   async completionWithRetry(
-    request: MistralFIMCompletionRequest | MistralFIMCompletionStreamRequest,
+    request: MistralAIFIMCompletionRequest | MistralAIFIMCompletionStreamRequest,
     options: this["ParsedCallOptions"],
     stream: boolean
   ): Promise<
-    MistralFIMCompletionResponse | AsyncIterable<MistralChatCompletionEvent>
+    MistralAIFIMCompletionResponse | AsyncIterable<MistralAIChatCompletionEvent>
   > {
     const { Mistral } = await this.imports();
     const caller = new AsyncCaller({
@@ -314,7 +314,7 @@ Either provide one via the "apiKey" field in the constructor, or set the "MISTRA
       serverURL: this.serverURL,
       timeoutMs: options.timeout,
       // If httpClient exists, pass it into constructor
-      ...( this.httpClient ? {httpCLient: this.httpClient} : {})
+      ...( this.httpClient ? {httpClient: this.httpClient} : {})
     });
     return caller.callWithOptions(
       {
@@ -323,8 +323,8 @@ Either provide one via the "apiKey" field in the constructor, or set the "MISTRA
       async () => {
         try {
           let res:
-            | MistralFIMCompletionResponse
-            | AsyncIterable<MistralChatCompletionEvent>;
+            | MistralAIFIMCompletionResponse
+            | AsyncIterable<MistralAIChatCompletionEvent>;
           if (stream) {
             res = await client.fim.stream(request);
           } else {

From 2a759083c037ef259b73af0254c61c1794ed0148 Mon Sep 17 00:00:00 2001
From: CarterMorris <carter.morris@mail.utoronto.ca>
Date: Wed, 6 Nov 2024 17:03:28 -0500
Subject: [PATCH 009/344] Experimental addition of Mistral retry config for
 chat_models.ts

---
 libs/langchain-mistralai/src/chat_models.ts | 96 ++++++++++++++++++---
 1 file changed, 84 insertions(+), 12 deletions(-)

diff --git a/libs/langchain-mistralai/src/chat_models.ts b/libs/langchain-mistralai/src/chat_models.ts
index 0b7dfa4d7724..c2a6fd3693ec 100644
--- a/libs/langchain-mistralai/src/chat_models.ts
+++ b/libs/langchain-mistralai/src/chat_models.ts
@@ -13,6 +13,7 @@ import { UsageInfo as MistralAITokenUsage } from "@mistralai/mistralai/models/co
 import { CompletionEvent as MistralAIChatCompletionEvent } from "@mistralai/mistralai/models/components/completionevent.js";
 import { ChatCompletionResponse as MistralAIChatCompletionResponse } from "@mistralai/mistralai/models/components/chatcompletionresponse.js";
 import { HTTPClient as MistralAIHTTPClient} from "@mistralai/mistralai/lib/http.js";
+import { RetryConfig as MistralAIRetryConfig } from "@mistralai/mistralai/lib/retries.js";
 import {
   MessageType,
   type BaseMessage,
@@ -162,10 +163,45 @@ export interface ChatMistralAIInput
    */
   seed?: number;
   /**
-   * 
+   * Custom HTTP client to manage API requests
+   * Allows users to add custom fetch implementations, hooks, as well as error and response processing.
+   */
+  httpClient?: MistralAIHTTPClient;
+  /**
+   * The strategy for handling request errors. Either "none" or "backoff".
+   * @default {"none"} 
+   */
+  backoffStrategy?: string;
+  /**
+   * The intial time interval to wait before retrying a failed request, in ms.
+   * Only used when backoffStrategy = "backoff".
+   * @default {500}
+   */
+  backoffInitialInterval?: number;
+  /**
+   * The maximum interval of time to wait before retrying a failed request, in ms.
+   * Only used when backoffStrategy = "backoff".
+   * @default {60000}
+   */
+  backoffMaxInterval?: number;
+  /**
+   * The base to exponentiate by the number of retries attempted. The time interval to wait for the 
+   * next retry is backoffInitialInterval * backoffExponent**number_of_retries, in ms.
+   * Only used when backoffStrategy = "backoff".
+   * @default {1.5}
+   */
+  backoffExponent?: number;
+  /**
+   * The maximum time to retry requests for, after the first request is received by Mistral, in ms.
+   * Only used when backoffStrategy = "backoff".
+   * @default {3600000}
+   */
+  backoffMaxElapsedTime?: number;
+  /**
+   * Whether or not to retry requests that failed due to connection errors.
+   * Only used when backoffStrategy = "backoff".
    */
-  httpClient?: MistralAIHTTPClient | undefined;
-  
+  retryConnectionErrors?: boolean;
 }
 
 function convertMessagesToMistralMessages(
@@ -196,14 +232,14 @@ function convertMessagesToMistralMessages(
         return {
           type: complex.type,
           imageUrl: complex?.image_url
-        } as MistralAIContentChunk;
+        };
       }
       
-      if (complex.type === "text" && (role === "user" || role === "system")){
+      if (complex.type === "text" && (role === "user" || role === "system")) {
         return {
           type: complex.type,
           text: complex?.text
-        } as MistralAIContentChunk;
+        };
       }
 
       throw new Error(
@@ -817,12 +853,20 @@ export class ChatMistralAI<
 
   streamUsage = true;
 
-  /**
-   * Optional custom HTTP client to manage API requests
-   * Allows users to add custom fetch implementations, hooks, as well as error and response processing.
-   */
   httpClient?: MistralAIHTTPClient;
 
+  backoffStrategy = "none";
+
+  backoffInitialInterval = 500;
+
+  backoffMaxInterval = 60000;
+
+  backoffExponent = 1.5;
+
+  backoffMaxElapsedTime = 3600000;
+
+  retryConnectionErrors?: boolean;
+
   constructor(fields?: ChatMistralAIInput) {
     super(fields ?? {});
     const apiKey = fields?.apiKey ?? getEnvironmentVariable("MISTRAL_API_KEY");
@@ -843,7 +887,13 @@ export class ChatMistralAI<
     this.modelName = fields?.model ?? fields?.modelName ?? this.model;
     this.model = this.modelName;
     this.streamUsage = fields?.streamUsage ?? this.streamUsage;
-    this.httpClient = fields?.httpClient ?? undefined;
+    this.httpClient = fields?.httpClient ?? this.httpClient;
+    this.backoffStrategy = fields?.backoffStrategy ?? this.backoffStrategy;
+    this.backoffInitialInterval = fields?.backoffInitialInterval ?? this.backoffInitialInterval;
+    this.backoffMaxInterval = fields?.backoffMaxInterval ?? this.backoffMaxInterval;
+    this.backoffExponent = fields?.backoffExponent ?? this.backoffExponent;
+    this.backoffMaxElapsedTime = fields?.backoffMaxElapsedTime ?? this.backoffMaxElapsedTime;
+    this.retryConnectionErrors = fields?.retryConnectionErrors ?? this.retryConnectionErrors;
   }
 
   getLsParams(options: this["ParsedCallOptions"]): LangSmithParams {
@@ -916,11 +966,33 @@ export class ChatMistralAI<
   ): Promise<
     MistralAIChatCompletionResponse | AsyncIterable<MistralAIChatCompletionEvent>
   > {
+      /**
+       * Get the Mistral request retry config
+       */
+      const _getRetryConfig = (): MistralAIRetryConfig => {
+        if (this.backoffStrategy === "backoff") {
+          return {
+            strategy: this.backoffStrategy,
+            backoff: {
+              initialInterval: this.backoffInitialInterval,
+              maxInterval: this.backoffMaxInterval,
+              exponent: this.backoffExponent,
+              maxElapsedTime: this.backoffMaxElapsedTime,
+            },
+            retryConnectionErrors: this.retryConnectionErrors
+          };
+        }
+        return { 
+          strategy: "none"
+        };
+      };
+
     const client = new MistralClient({
       apiKey: this.apiKey,
       serverURL: this.serverURL,
       // If httpClient exists, pass it into constructor
-      ...( this.httpClient ? {httpClient: this.httpClient} : {})
+      ...( this.httpClient ? {httpClient: this.httpClient} : {}),
+      retryConfig: _getRetryConfig(),
     });
 
     return this.caller.call(async () => {

From 0d778c9744b631dc8a132c551199b6354c6a9ade Mon Sep 17 00:00:00 2001
From: BaNg-W <bang344251871@gmail.com>
Date: Thu, 7 Nov 2024 04:32:35 -0500
Subject: [PATCH 010/344] Fixed zod not being resolved

---
 libs/langchain-mistralai/tsconfig.json |  2 +-
 package.json                           |  3 +++
 yarn.lock                              | 18 +++++-------------
 3 files changed, 9 insertions(+), 14 deletions(-)

diff --git a/libs/langchain-mistralai/tsconfig.json b/libs/langchain-mistralai/tsconfig.json
index ffc49dde54a6..05cdf3a4d72b 100644
--- a/libs/langchain-mistralai/tsconfig.json
+++ b/libs/langchain-mistralai/tsconfig.json
@@ -9,7 +9,7 @@
       "ES2022.Object",
       "DOM"
     ],
-    "module": "ES2020",
+    "module": "NodeNext",
     "moduleResolution": "nodenext",
     "esModuleInterop": true,
     "declaration": true,
diff --git a/package.json b/package.json
index d6161145a605..4bcab88db719 100644
--- a/package.json
+++ b/package.json
@@ -72,5 +72,8 @@
       "eslint --cache --fix"
     ],
     "*.md": "prettier --config .prettierrc --write"
+  },
+  "dependencies": {
+    "zod": "^3.23.8"
   }
 }
diff --git a/yarn.lock b/yarn.lock
index 18b9eab032c7..178962cc8fc0 100644
--- a/yarn.lock
+++ b/yarn.lock
@@ -12724,21 +12724,12 @@ __metadata:
   languageName: node
   linkType: hard
 
-"@mistralai/mistralai@npm:^0.4.0":
-  version: 0.4.0
-  resolution: "@mistralai/mistralai@npm:0.4.0"
-  dependencies:
-    node-fetch: ^2.6.7
-  checksum: 1b03fc0b55164c02e5fb29fb2d09ebe4ad44346fc313f7fb3ab09e48f73f975763d1ac9654098d433ea17d7caa20654b2b15510822276acc9fa46db461a254a6
-  languageName: node
-  linkType: hard
-
-"@mistralai/mistralai@npm:^1.0.2":
-  version: 1.0.2
-  resolution: "@mistralai/mistralai@npm:1.0.2"
+"@mistralai/mistralai@npm:^1.1.0":
+  version: 1.1.0
+  resolution: "@mistralai/mistralai@npm:1.1.0"
   peerDependencies:
     zod: ">= 3"
-  checksum: 9d2ed8d96d20791571cf9ad2a47c4fb2a8a991543ce95a7daeba8f146cca73cac8e05b9da1e96b16d84a08c3c9bcea90c3e4909ce55dd366ea4931b2e18a28bb
+  checksum: 219a96ec73361f7c9079d8ed77a504bea767fba7e150159d6c7ec1019b5a0a76eaf0a867b5562442ed5face483a2b7c24f597bde56ecf7b39aece3b36831ce79
   languageName: node
   linkType: hard
 
@@ -32344,6 +32335,7 @@ __metadata:
     semver: ^7.5.4
     turbo: ^1.13.3
     typescript: ~5.1.6
+    zod: ^3.23.8
   languageName: unknown
   linkType: soft
 

From a6eb0b3d6ff6f27b07e8b4b290b5728041c84127 Mon Sep 17 00:00:00 2001
From: CarterMorris <carter.morris@mail.utoronto.ca>
Date: Thu, 7 Nov 2024 14:51:21 -0500
Subject: [PATCH 011/344] Removed global zod dependency from previous commit
 (0d778c9)

---
 package.json | 3 ---
 yarn.lock    | 1 -
 2 files changed, 4 deletions(-)

diff --git a/package.json b/package.json
index 4bcab88db719..d6161145a605 100644
--- a/package.json
+++ b/package.json
@@ -72,8 +72,5 @@
       "eslint --cache --fix"
     ],
     "*.md": "prettier --config .prettierrc --write"
-  },
-  "dependencies": {
-    "zod": "^3.23.8"
   }
 }
diff --git a/yarn.lock b/yarn.lock
index 178962cc8fc0..036030d4dab3 100644
--- a/yarn.lock
+++ b/yarn.lock
@@ -32335,7 +32335,6 @@ __metadata:
     semver: ^7.5.4
     turbo: ^1.13.3
     typescript: ~5.1.6
-    zod: ^3.23.8
   languageName: unknown
   linkType: soft
 

From 2db1dd4e2fe80bce377a20a2ac3b1e1c2392f158 Mon Sep 17 00:00:00 2001
From: Ashtian <ashtian.delacruz@mail.utoronto.ca>
Date: Sat, 9 Nov 2024 11:59:43 -0500
Subject: [PATCH 012/344] streamlined adding and removing hooks for httpclient

---
 libs/langchain-mistralai/src/chat_models.ts | 103 ++++++++++++++++++-
 libs/langchain-mistralai/src/embeddings.ts  | 106 ++++++++++++++++++-
 libs/langchain-mistralai/src/llms.ts        | 107 +++++++++++++++++++-
 3 files changed, 311 insertions(+), 5 deletions(-)

diff --git a/libs/langchain-mistralai/src/chat_models.ts b/libs/langchain-mistralai/src/chat_models.ts
index c2a6fd3693ec..bbaa05521396 100644
--- a/libs/langchain-mistralai/src/chat_models.ts
+++ b/libs/langchain-mistralai/src/chat_models.ts
@@ -12,7 +12,7 @@ import { ChatCompletionStreamRequest as MistralAIChatCompletionStreamRequest } f
 import { UsageInfo as MistralAITokenUsage } from "@mistralai/mistralai/models/components/usageinfo.js";
 import { CompletionEvent as MistralAIChatCompletionEvent } from "@mistralai/mistralai/models/components/completionevent.js";
 import { ChatCompletionResponse as MistralAIChatCompletionResponse } from "@mistralai/mistralai/models/components/chatcompletionresponse.js";
-import { HTTPClient as MistralAIHTTPClient} from "@mistralai/mistralai/lib/http.js";
+import { BeforeRequestHook, HTTPClient as MistralAIHTTPClient, RequestErrorHook, ResponseHook} from "@mistralai/mistralai/lib/http.js";
 import { RetryConfig as MistralAIRetryConfig } from "@mistralai/mistralai/lib/retries.js";
 import {
   MessageType,
@@ -162,6 +162,24 @@ export interface ChatMistralAIInput
    * The seed to use for random sampling. If set, different calls will generate deterministic results.
    */
   seed?: number;
+  /**
+   * A list of custom hooks that must follow (req: Request) => Awaitable<Request | void>
+   * They are automatically added when a ChatMistralAI Object is created
+   * @default {[]}
+   */
+  beforeRequestHooks?: Array<BeforeRequestHook>;
+  /**
+   * A list of custom hooks that must follow (err: unknown, req: Request) => Awaitable<void>
+   * They are automatically added when a ChatMistralAI Object is created
+   * @default {[]}
+   */
+  requestErrorHooks?: Array<RequestErrorHook>;
+  /**
+   * A list of custom hooks that must follow (res: Response, req: Request) => Awaitable<void>
+   * They are automatically added when a ChatMistralAI Object is created
+   * @default {[]}
+   */
+  responseHooks?: Array<ResponseHook>;
   /**
    * Custom HTTP client to manage API requests
    * Allows users to add custom fetch implementations, hooks, as well as error and response processing.
@@ -853,6 +871,12 @@ export class ChatMistralAI<
 
   streamUsage = true;
 
+  beforeRequestHooks?: Array<BeforeRequestHook>;
+
+  requestErrorHooks?: Array<RequestErrorHook>;
+
+  responseHooks?: Array<ResponseHook>;
+
   httpClient?: MistralAIHTTPClient;
 
   backoffStrategy = "none";
@@ -887,6 +911,9 @@ export class ChatMistralAI<
     this.modelName = fields?.model ?? fields?.modelName ?? this.model;
     this.model = this.modelName;
     this.streamUsage = fields?.streamUsage ?? this.streamUsage;
+    this.beforeRequestHooks = fields?.beforeRequestHooks ?? this.beforeRequestHooks;
+    this.requestErrorHooks = fields?.requestErrorHooks ?? this.requestErrorHooks;
+    this.responseHooks = fields?.responseHooks ?? this.responseHooks;
     this.httpClient = fields?.httpClient ?? this.httpClient;
     this.backoffStrategy = fields?.backoffStrategy ?? this.backoffStrategy;
     this.backoffInitialInterval = fields?.backoffInitialInterval ?? this.backoffInitialInterval;
@@ -894,6 +921,7 @@ export class ChatMistralAI<
     this.backoffExponent = fields?.backoffExponent ?? this.backoffExponent;
     this.backoffMaxElapsedTime = fields?.backoffMaxElapsedTime ?? this.backoffMaxElapsedTime;
     this.retryConnectionErrors = fields?.retryConnectionErrors ?? this.retryConnectionErrors;
+    this.addAllHooksToHttpClient();
   }
 
   getLsParams(options: this["ParsedCallOptions"]): LangSmithParams {
@@ -1159,6 +1187,79 @@ export class ChatMistralAI<
     }
   }
 
+  addAllHooksToHttpClient() {
+    try {
+      // To prevent duplicate hooks
+      this.removeAllHooksFromHttpClient();
+
+      // If the user wants to use hooks, but hasn't created an HTTPClient yet
+      const hasHooks = [
+        this.beforeRequestHooks,
+        this.requestErrorHooks,
+        this.responseHooks
+      ].some(hook => hook && hook.length > 0);
+      if(hasHooks && !this.httpClient) {
+        this.httpClient = new MistralAIHTTPClient();
+      }
+
+      if(this.beforeRequestHooks) {
+        for(const hook of this.beforeRequestHooks) {
+          this.httpClient?.addHook("beforeRequest", hook);
+        }
+      }
+
+      if(this.requestErrorHooks) {
+        for(const hook of this.requestErrorHooks) {
+          this.httpClient?.addHook("requestError", hook);
+        }
+      }
+
+      if(this.responseHooks) {
+        for(const hook of this.responseHooks) {
+          this.httpClient?.addHook("response", hook);
+        }
+      }
+    } catch {
+      throw new Error("Error in adding all hooks");
+    }
+  }
+
+  removeAllHooksFromHttpClient() {
+    try {
+      if(this.beforeRequestHooks) {
+        for(const hook of this.beforeRequestHooks) {
+          this.httpClient?.removeHook("beforeRequest", hook);
+        }
+      }
+
+      if(this.requestErrorHooks) {
+        for(const hook of this.requestErrorHooks) {
+          this.httpClient?.removeHook("requestError", hook);
+        }
+      }
+
+      if(this.responseHooks) {
+        for(const hook of this.responseHooks) {
+          this.httpClient?.removeHook("response", hook);
+        }
+      }
+    } catch {
+      throw new Error("Error in removing hooks");
+    }
+  }
+
+  removeHookFromHttpClient(
+    hook: BeforeRequestHook | RequestErrorHook | ResponseHook
+  ) {
+    try {
+      this.httpClient?.removeHook("beforeRequest", hook as BeforeRequestHook);
+      this.httpClient?.removeHook("requestError", hook as RequestErrorHook);
+      this.httpClient?.removeHook("response", hook as ResponseHook);
+    } catch {
+      throw new Error("Error in removing hook");
+    }
+  }
+
   /** @ignore */
   _combineLLMOutput() {
     return [];
diff --git a/libs/langchain-mistralai/src/embeddings.ts b/libs/langchain-mistralai/src/embeddings.ts
index 6b10f9b7d654..6e872cd6a8e2 100644
--- a/libs/langchain-mistralai/src/embeddings.ts
+++ b/libs/langchain-mistralai/src/embeddings.ts
@@ -3,7 +3,7 @@ import { Embeddings, type EmbeddingsParams } from "@langchain/core/embeddings";
 import { chunkArray } from "@langchain/core/utils/chunk_array";
 import { EmbeddingRequest as MistralAIEmbeddingsRequest} from "@mistralai/mistralai/src/models/components/embeddingrequest.js";
 import { EmbeddingResponse as MistralAIEmbeddingsResponse} from "@mistralai/mistralai/src/models/components/embeddingresponse.js";
-import { HTTPClient as MistralAIHTTPClient} from "@mistralai/mistralai/lib/http.js";
+import { BeforeRequestHook, HTTPClient as MistralAIHTTPClient, RequestErrorHook, ResponseHook} from "@mistralai/mistralai/lib/http.js";
 
 /**
  * Interface for MistralAIEmbeddings parameters. Extends EmbeddingsParams and
@@ -46,6 +46,24 @@ export interface MistralAIEmbeddingsParams extends EmbeddingsParams {
    * @default {true}
    */
   stripNewLines?: boolean;
+  /**
+   * A list of custom hooks that must follow (req: Request) => Awaitable<Request | void>
+   * They are automatically added when a ChatMistralAI Object is created
+   * @default {[]}
+   */
+  beforeRequestHooks?: Array<BeforeRequestHook>;
+  /**
+     * A list of custom hooks that must follow (err: unknown, req: Request) => Awaitable<void>
+     * They are automatically added when a ChatMistralAI Object is created
+     * @default {[]}
+     */
+  requestErrorHooks?: Array<RequestErrorHook>;
+  /**
+     * A list of custom hooks that must follow (res: Response, req: Request) => Awaitable<void>
+     * They are automatically added when a ChatMistralAI Object is created
+     * @default {[]}
+     */
+  responseHooks?: Array<ResponseHook>;
   /**
    * Optional custom HTTP client to manage API requests
    * Allows users to add custom fetch implementations, hooks, as well as error and response processing.
@@ -75,6 +93,12 @@ export class MistralAIEmbeddings
 
   serverURL?: string;
 
+  beforeRequestHooks?: Array<BeforeRequestHook>;
+
+  requestErrorHooks?: Array<RequestErrorHook>;
+
+  responseHooks?: Array<ResponseHook>;
+
   httpClient?: MistralAIHTTPClient;
 
   constructor(fields?: Partial<MistralAIEmbeddingsParams>) {
@@ -90,9 +114,14 @@ export class MistralAIEmbeddings
     this.encodingFormat = fields?.encodingFormat ?? this.encodingFormat;
     this.batchSize = fields?.batchSize ?? this.batchSize;
     this.stripNewLines = fields?.stripNewLines ?? this.stripNewLines;
-    this.httpClient = fields?.httpClient ?? undefined;
+    this.beforeRequestHooks = fields?.beforeRequestHooks ?? this.beforeRequestHooks;
+    this.requestErrorHooks = fields?.requestErrorHooks ?? this.requestErrorHooks;
+    this.responseHooks = fields?.responseHooks ?? this.responseHooks;
+    this.httpClient = fields?.httpClient ?? this.httpClient;
+    this.addAllHooksToHttpClient();
   }
 
+  
   /**
    * Method to generate embeddings for an array of documents. Splits the
    * documents into batches and makes requests to the MistralAI API to generate
@@ -166,6 +195,79 @@ export class MistralAIEmbeddings
     });
   }
 
+  addAllHooksToHttpClient() {
+    try {
+      // To prevent duplicate hooks
+      this.removeAllHooksFromHttpClient();
+
+      // If the user wants to use hooks, but hasn't created an HTTPClient yet
+      const hasHooks = [
+        this.beforeRequestHooks,
+        this.requestErrorHooks,
+        this.responseHooks
+      ].some(hook => hook && hook.length > 0);
+      if(hasHooks && !this.httpClient) {
+        this.httpClient = new MistralAIHTTPClient();
+      }
+
+      if(this.beforeRequestHooks) {
+        for(const hook of this.beforeRequestHooks) {
+          this.httpClient?.addHook("beforeRequest", hook);
+        }
+      }
+
+      if(this.requestErrorHooks) {
+        for(const hook of this.requestErrorHooks) {
+          this.httpClient?.addHook("requestError", hook);
+        }
+      }
+
+      if(this.responseHooks) {
+        for(const hook of this.responseHooks) {
+          this.httpClient?.addHook("response", hook);
+        }
+      }
+    } catch {
+      throw new Error("Error in adding all hooks");
+    }
+  }
+
+  removeAllHooksFromHttpClient() {
+    try {
+      if(this.beforeRequestHooks) {
+        for(const hook of this.beforeRequestHooks) {
+          this.httpClient?.removeHook("beforeRequest", hook);
+        }
+      }
+
+      if(this.requestErrorHooks) {
+        for(const hook of this.requestErrorHooks) {
+          this.httpClient?.removeHook("requestError", hook);
+        }
+      }
+
+      if(this.responseHooks) {
+        for(const hook of this.responseHooks) {
+          this.httpClient?.removeHook("response", hook);
+        }
+      }
+    } catch {
+      throw new Error("Error in removing hooks");
+    }
+  }
+
+  removeHookFromHttpClient(
+    hook: BeforeRequestHook | RequestErrorHook | ResponseHook
+  ) {
+    try {
+      this.httpClient?.removeHook("beforeRequest", hook as BeforeRequestHook);
+      this.httpClient?.removeHook("requestError", hook as RequestErrorHook);
+      this.httpClient?.removeHook("response", hook as ResponseHook);
+    } catch {
+      throw new Error("Error in removing hook");
+    }
+  }
+
   /** @ignore */
   private async imports() {
     const { Mistral } = await import("@mistralai/mistralai");
diff --git a/libs/langchain-mistralai/src/llms.ts b/libs/langchain-mistralai/src/llms.ts
index 48b300ceb816..905e55e72cc4 100644
--- a/libs/langchain-mistralai/src/llms.ts
+++ b/libs/langchain-mistralai/src/llms.ts
@@ -7,7 +7,7 @@ import { FIMCompletionStreamRequest as MistralAIFIMCompletionStreamRequest} from
 import { FIMCompletionResponse as MistralAIFIMCompletionResponse } from "@mistralai/mistralai/models/components/fimcompletionresponse.js";
 import { ChatCompletionChoice as MistralAIChatCompletionChoice} from "@mistralai/mistralai/models/components/chatcompletionchoice.js";
 import { CompletionEvent as MistralAIChatCompletionEvent } from "@mistralai/mistralai/models/components/completionevent.js";
-import { HTTPClient as MistralAIHTTPClient} from "@mistralai/mistralai/lib/http.js";
+import { BeforeRequestHook, HTTPClient as MistralAIHTTPClient, RequestErrorHook, ResponseHook} from "@mistralai/mistralai/lib/http.js";
 import { getEnvironmentVariable } from "@langchain/core/utils/env";
 import { chunkArray } from "@langchain/core/utils/chunk_array";
 import { AsyncCaller } from "@langchain/core/utils/async_caller";
@@ -69,6 +69,24 @@ export interface MistralAIInput extends BaseLLMParams {
    * Batch size to use when passing multiple documents to generate
    */
   batchSize?: number;
+  /**
+   * A list of custom hooks that must follow (req: Request) => Awaitable<Request | void>
+   * They are automatically added when a ChatMistralAI Object is created
+   * @default {[]}
+   */
+  beforeRequestHooks?: Array<BeforeRequestHook>;
+  /**
+     * A list of custom hooks that must follow (err: unknown, req: Request) => Awaitable<void>
+     * They are automatically added when a ChatMistralAI Object is created
+     * @default {[]}
+     */
+  requestErrorHooks?: Array<RequestErrorHook>;
+  /**
+     * A list of custom hooks that must follow (res: Response, req: Request) => Awaitable<void>
+     * They are automatically added when a ChatMistralAI Object is created
+     * @default {[]}
+     */
+  responseHooks?: Array<ResponseHook>;
   /**
    * Optional custom HTTP client to manage API requests
    * Allows users to add custom fetch implementations, hooks, as well as error and response processing.
@@ -109,6 +127,12 @@ export class MistralAI
 
   maxConcurrency?: number;
 
+  beforeRequestHooks?: Array<BeforeRequestHook>;
+
+  requestErrorHooks?: Array<RequestErrorHook>;
+
+  responseHooks?: Array<ResponseHook>;
+
   httpClient?: MistralAIHTTPClient;
 
   constructor(fields?: MistralAIInput) {
@@ -124,7 +148,10 @@ export class MistralAI
     this.serverURL = fields?.serverURL;
     this.maxRetries = fields?.maxRetries;
     this.maxConcurrency = fields?.maxConcurrency;
-    this.httpClient = fields?.httpClient ?? undefined;
+    this.beforeRequestHooks = fields?.beforeRequestHooks ?? this.beforeRequestHooks;
+    this.requestErrorHooks = fields?.requestErrorHooks ?? this.requestErrorHooks;
+    this.responseHooks = fields?.responseHooks ?? this.responseHooks;
+    this.httpClient = fields?.httpClient ?? this.httpClient;
 
     const apiKey = fields?.apiKey ?? getEnvironmentVariable("MISTRAL_API_KEY");
     if (!apiKey) {
@@ -134,6 +161,8 @@ Either provide one via the "apiKey" field in the constructor, or set the "MISTRA
       );
     }
     this.apiKey = apiKey;
+
+    this.addAllHooksToHttpClient();
   }
 
   get lc_secrets(): { [key: string]: string } | undefined {
@@ -379,6 +408,80 @@ Either provide one via the "apiKey" field in the constructor, or set the "MISTRA
     }
   }
 
+  addAllHooksToHttpClient() {
+    try {
+      // To prevent duplicate hooks
+      this.removeAllHooksFromHttpClient();
+
+      // If the user wants to use hooks, but hasn't created an HTTPClient yet
+      const hasHooks = [
+        this.beforeRequestHooks,
+        this.requestErrorHooks,
+        this.responseHooks
+      ].some(hook => hook && hook.length > 0);
+      if(hasHooks && !this.httpClient) {
+        this.httpClient = new MistralAIHTTPClient();
+      }
+
+      if(this.beforeRequestHooks) {
+        for(const hook of this.beforeRequestHooks) {
+          this.httpClient?.addHook("beforeRequest", hook);
+        }
+      }
+
+      if(this.requestErrorHooks) {
+        for(const hook of this.requestErrorHooks) {
+          this.httpClient?.addHook("requestError", hook);
+        }
+      }
+
+      if(this.responseHooks) {
+        for(const hook of this.responseHooks) {
+          this.httpClient?.addHook("response", hook);
+        }
+      }
+    } catch {
+      throw new Error("Error in adding all hooks");
+    }
+  }
+
+  removeAllHooksFromHttpClient() {
+    try {
+      if(this.beforeRequestHooks) {
+        for(const hook of this.beforeRequestHooks) {
+          this.httpClient?.removeHook("beforeRequest", hook);
+        }
+      }
+
+      if(this.requestErrorHooks) {
+        for(const hook of this.requestErrorHooks) {
+          this.httpClient?.removeHook("requestError", hook);
+        }
+      }
+
+      if(this.responseHooks) {
+        for(const hook of this.responseHooks) {
+          this.httpClient?.removeHook("response", hook);
+        }
+      }
+    } catch {
+      throw new Error("Error in removing hooks");
+    }
+  }
+
+  removeHookFromHttpClient(
+    hook: BeforeRequestHook | RequestErrorHook | ResponseHook
+  ) {
+    try {
+      this.httpClient?.removeHook("beforeRequest", hook as BeforeRequestHook);
+      this.httpClient?.removeHook("requestError", hook as RequestErrorHook);
+      this.httpClient?.removeHook("response", hook as ResponseHook);
+    } catch {
+      throw new Error("Error in removing hook");
+    }
+  }
+
+
   /** @ignore */
   private async imports() {
     const { Mistral } = await import("@mistralai/mistralai");

From e941ff3a6bfffae18269baddc3770d2e02630add Mon Sep 17 00:00:00 2001
From: BaNg-W <bang344251871@gmail.com>
Date: Sat, 9 Nov 2024 17:09:22 -0500
Subject: [PATCH 013/344] Fixed formatting of hook fields and deprecated
 endpoint

Co-authored-by: CarterMorris <CarterMorris@users.noreply.github.com>
---
 libs/langchain-mistralai/src/chat_models.ts | 42 +++++++++++++--------
 libs/langchain-mistralai/src/embeddings.ts  | 42 +++++++++++++--------
 libs/langchain-mistralai/src/llms.ts        | 42 +++++++++++++--------
 3 files changed, 81 insertions(+), 45 deletions(-)

diff --git a/libs/langchain-mistralai/src/chat_models.ts b/libs/langchain-mistralai/src/chat_models.ts
index bbaa05521396..3d80c670a94c 100644
--- a/libs/langchain-mistralai/src/chat_models.ts
+++ b/libs/langchain-mistralai/src/chat_models.ts
@@ -12,7 +12,12 @@ import { ChatCompletionStreamRequest as MistralAIChatCompletionStreamRequest } f
 import { UsageInfo as MistralAITokenUsage } from "@mistralai/mistralai/models/components/usageinfo.js";
 import { CompletionEvent as MistralAIChatCompletionEvent } from "@mistralai/mistralai/models/components/completionevent.js";
 import { ChatCompletionResponse as MistralAIChatCompletionResponse } from "@mistralai/mistralai/models/components/chatcompletionresponse.js";
-import { BeforeRequestHook, HTTPClient as MistralAIHTTPClient, RequestErrorHook, ResponseHook} from "@mistralai/mistralai/lib/http.js";
+import { 
+  BeforeRequestHook,
+  RequestErrorHook,
+  ResponseHook,
+  HTTPClient as MistralAIHTTPClient,
+} from "@mistralai/mistralai/lib/http.js";
 import { RetryConfig as MistralAIRetryConfig } from "@mistralai/mistralai/lib/retries.js";
 import {
   MessageType,
@@ -115,6 +120,11 @@ export interface ChatMistralAIInput
    * @default {"mistral-small-latest"}
    */
   model?: string;
+  /**
+   * Override the default server URL used by the Mistral SDK.
+   * @deprecated use serverURL instead
+   */
+  endpoint?: string;
   /**
    * Override the default server URL used by the Mistral SDK.
    */
@@ -164,20 +174,17 @@ export interface ChatMistralAIInput
   seed?: number;
   /**
    * A list of custom hooks that must follow (req: Request) => Awaitable<Request | void>
-   * They are automatically added when a ChatMistralAI Object is created
-   * @default {[]}
+   * They are automatically added when a ChatMistralAI instance is created
    */
   beforeRequestHooks?: Array<BeforeRequestHook>;
   /**
    * A list of custom hooks that must follow (err: unknown, req: Request) => Awaitable<void>
-   * They are automatically added when a ChatMistralAI Object is created
-   * @default {[]}
+   * They are automatically added when a ChatMistralAI instance is created
    */
   requestErrorHooks?: Array<RequestErrorHook>;
   /**
    * A list of custom hooks that must follow (res: Response, req: Request) => Awaitable<void>
-   * They are automatically added when a ChatMistralAI Object is created
-   * @default {[]}
+   * They are automatically added when a ChatMistralAI instance is created
    */
   responseHooks?: Array<ResponseHook>;
   /**
@@ -846,6 +853,11 @@ export class ChatMistralAI<
 
   apiKey: string;
 
+  /**
+   * @deprecated use serverURL instead
+   */
+  endpoint: string;
+
   serverURL?: string;
 
   temperature = 0.7;
@@ -901,7 +913,7 @@ export class ChatMistralAI<
     }
     this.apiKey = apiKey;
     this.streaming = fields?.streaming ?? this.streaming;
-    this.serverURL = fields?.serverURL;
+    this.serverURL = fields?.serverURL ?? this.serverURL;
     this.temperature = fields?.temperature ?? this.temperature;
     this.topP = fields?.topP ?? this.topP;
     this.maxTokens = fields?.maxTokens ?? this.maxTokens;
@@ -1198,23 +1210,23 @@ export class ChatMistralAI<
         this.requestErrorHooks,
         this.responseHooks
       ].some(hook => hook && hook.length > 0);
-      if(hasHooks && !this.httpClient) {
+      if (hasHooks && !this.httpClient) {
         this.httpClient = new MistralAIHTTPClient();
       }
 
-      if(this.beforeRequestHooks) {
+      if (this.beforeRequestHooks) {
         for(const hook of this.beforeRequestHooks) {
           this.httpClient?.addHook("beforeRequest", hook);
         }
       }
 
-      if(this.requestErrorHooks) {
+      if (this.requestErrorHooks) {
         for(const hook of this.requestErrorHooks) {
           this.httpClient?.addHook("requestError", hook);
         }
       }
 
-      if(this.responseHooks) {
+      if (this.responseHooks) {
         for(const hook of this.responseHooks) {
           this.httpClient?.addHook("response", hook);
         }
@@ -1226,19 +1238,19 @@ export class ChatMistralAI<
 
   removeAllHooksFromHttpClient() {
     try {
-      if(this.beforeRequestHooks) {
+      if (this.beforeRequestHooks) {
         for(const hook of this.beforeRequestHooks) {
           this.httpClient?.removeHook("beforeRequest", hook);
         }
       }
 
-      if(this.requestErrorHooks) {
+      if (this.requestErrorHooks) {
         for(const hook of this.requestErrorHooks) {
           this.httpClient?.removeHook("requestError", hook);
         }
       }
 
-      if(this.responseHooks) {
+      if (this.responseHooks) {
         for(const hook of this.responseHooks) {
           this.httpClient?.removeHook("response", hook);
         }
diff --git a/libs/langchain-mistralai/src/embeddings.ts b/libs/langchain-mistralai/src/embeddings.ts
index 6e872cd6a8e2..e4b3a1657eab 100644
--- a/libs/langchain-mistralai/src/embeddings.ts
+++ b/libs/langchain-mistralai/src/embeddings.ts
@@ -3,7 +3,12 @@ import { Embeddings, type EmbeddingsParams } from "@langchain/core/embeddings";
 import { chunkArray } from "@langchain/core/utils/chunk_array";
 import { EmbeddingRequest as MistralAIEmbeddingsRequest} from "@mistralai/mistralai/src/models/components/embeddingrequest.js";
 import { EmbeddingResponse as MistralAIEmbeddingsResponse} from "@mistralai/mistralai/src/models/components/embeddingresponse.js";
-import { BeforeRequestHook, HTTPClient as MistralAIHTTPClient, RequestErrorHook, ResponseHook} from "@mistralai/mistralai/lib/http.js";
+import { 
+  BeforeRequestHook,
+  RequestErrorHook,
+  ResponseHook,
+  HTTPClient as MistralAIHTTPClient,
+} from "@mistralai/mistralai/lib/http.js";
 
 /**
  * Interface for MistralAIEmbeddings parameters. Extends EmbeddingsParams and
@@ -31,6 +36,11 @@ export interface MistralAIEmbeddingsParams extends EmbeddingsParams {
    * @default {"float"}
    */
   encodingFormat?: string;
+  /**
+   * Override the default server URL used by the Mistral SDK.
+   * @deprecated use serverURL instead
+   */
+  endpoint?: string;
   /**
    * Override the default server URL used by the Mistral SDK.
    */
@@ -48,20 +58,17 @@ export interface MistralAIEmbeddingsParams extends EmbeddingsParams {
   stripNewLines?: boolean;
   /**
    * A list of custom hooks that must follow (req: Request) => Awaitable<Request | void>
-   * They are automatically added when a ChatMistralAI Object is created
-   * @default {[]}
+   * They are automatically added when a ChatMistralAI instance is created
    */
   beforeRequestHooks?: Array<BeforeRequestHook>;
   /**
      * A list of custom hooks that must follow (err: unknown, req: Request) => Awaitable<void>
-     * They are automatically added when a ChatMistralAI Object is created
-     * @default {[]}
+     * They are automatically added when a ChatMistralAI instance is created
      */
   requestErrorHooks?: Array<RequestErrorHook>;
   /**
      * A list of custom hooks that must follow (res: Response, req: Request) => Awaitable<void>
-     * They are automatically added when a ChatMistralAI Object is created
-     * @default {[]}
+     * They are automatically added when a ChatMistralAI instance is created
      */
   responseHooks?: Array<ResponseHook>;
   /**
@@ -91,6 +98,11 @@ export class MistralAIEmbeddings
 
   apiKey: string;
 
+  /**
+   * @deprecated use serverURL instead
+   */
+  endpoint: string;
+
   serverURL?: string;
 
   beforeRequestHooks?: Array<BeforeRequestHook>;
@@ -108,7 +120,7 @@ export class MistralAIEmbeddings
       throw new Error("API key missing for MistralAI, but it is required.");
     }
     this.apiKey = apiKey;
-    this.serverURL = fields?.serverURL;
+    this.serverURL = fields?.serverURL ?? this.serverURL;
     this.modelName = fields?.model ?? fields?.modelName ?? this.model;
     this.model = this.modelName;
     this.encodingFormat = fields?.encodingFormat ?? this.encodingFormat;
@@ -206,23 +218,23 @@ export class MistralAIEmbeddings
         this.requestErrorHooks,
         this.responseHooks
       ].some(hook => hook && hook.length > 0);
-      if(hasHooks && !this.httpClient) {
+      if (hasHooks && !this.httpClient) {
         this.httpClient = new MistralAIHTTPClient();
       }
 
-      if(this.beforeRequestHooks) {
+      if (this.beforeRequestHooks) {
         for(const hook of this.beforeRequestHooks) {
           this.httpClient?.addHook("beforeRequest", hook);
         }
       }
 
-      if(this.requestErrorHooks) {
+      if (this.requestErrorHooks) {
         for(const hook of this.requestErrorHooks) {
           this.httpClient?.addHook("requestError", hook);
         }
       }
 
-      if(this.responseHooks) {
+      if (this.responseHooks) {
         for(const hook of this.responseHooks) {
           this.httpClient?.addHook("response", hook);
         }
@@ -234,19 +246,19 @@ export class MistralAIEmbeddings
 
   removeAllHooksFromHttpClient() {
     try {
-      if(this.beforeRequestHooks) {
+      if (this.beforeRequestHooks) {
         for(const hook of this.beforeRequestHooks) {
           this.httpClient?.removeHook("beforeRequest", hook);
         }
       }
 
-      if(this.requestErrorHooks) {
+      if (this.requestErrorHooks) {
         for(const hook of this.requestErrorHooks) {
           this.httpClient?.removeHook("requestError", hook);
         }
       }
 
-      if(this.responseHooks) {
+      if (this.responseHooks) {
         for(const hook of this.responseHooks) {
           this.httpClient?.removeHook("response", hook);
         }
diff --git a/libs/langchain-mistralai/src/llms.ts b/libs/langchain-mistralai/src/llms.ts
index 905e55e72cc4..a0ff711f358c 100644
--- a/libs/langchain-mistralai/src/llms.ts
+++ b/libs/langchain-mistralai/src/llms.ts
@@ -7,7 +7,12 @@ import { FIMCompletionStreamRequest as MistralAIFIMCompletionStreamRequest} from
 import { FIMCompletionResponse as MistralAIFIMCompletionResponse } from "@mistralai/mistralai/models/components/fimcompletionresponse.js";
 import { ChatCompletionChoice as MistralAIChatCompletionChoice} from "@mistralai/mistralai/models/components/chatcompletionchoice.js";
 import { CompletionEvent as MistralAIChatCompletionEvent } from "@mistralai/mistralai/models/components/completionevent.js";
-import { BeforeRequestHook, HTTPClient as MistralAIHTTPClient, RequestErrorHook, ResponseHook} from "@mistralai/mistralai/lib/http.js";
+import { 
+  BeforeRequestHook,
+  RequestErrorHook,
+  ResponseHook,
+  HTTPClient as MistralAIHTTPClient,
+} from "@mistralai/mistralai/lib/http.js";
 import { getEnvironmentVariable } from "@langchain/core/utils/env";
 import { chunkArray } from "@langchain/core/utils/chunk_array";
 import { AsyncCaller } from "@langchain/core/utils/async_caller";
@@ -33,6 +38,11 @@ export interface MistralAIInput extends BaseLLMParams {
    * @default {process.env.MISTRAL_API_KEY}
    */
   apiKey?: string;
+  /**
+   * Override the default server URL used by the Mistral SDK.
+   * @deprecated use serverURL instead
+   */
+  endpoint?: string;
   /**
    * Override the default server URL used by the Mistral SDK.
    */
@@ -71,20 +81,17 @@ export interface MistralAIInput extends BaseLLMParams {
   batchSize?: number;
   /**
    * A list of custom hooks that must follow (req: Request) => Awaitable<Request | void>
-   * They are automatically added when a ChatMistralAI Object is created
-   * @default {[]}
+   * They are automatically added when a ChatMistralAI instance is created
    */
   beforeRequestHooks?: Array<BeforeRequestHook>;
   /**
      * A list of custom hooks that must follow (err: unknown, req: Request) => Awaitable<void>
-     * They are automatically added when a ChatMistralAI Object is created
-     * @default {[]}
+     * They are automatically added when a ChatMistralAI instance is created
      */
   requestErrorHooks?: Array<RequestErrorHook>;
   /**
      * A list of custom hooks that must follow (res: Response, req: Request) => Awaitable<void>
-     * They are automatically added when a ChatMistralAI Object is created
-     * @default {[]}
+     * They are automatically added when a ChatMistralAI instance is created
      */
   responseHooks?: Array<ResponseHook>;
   /**
@@ -121,6 +128,11 @@ export class MistralAI
 
   apiKey: string;
 
+  /**
+   * @deprecated use serverURL instead
+   */
+  endpoint: string;
+
   serverURL?: string;
 
   maxRetries?: number;
@@ -145,7 +157,7 @@ export class MistralAI
     this.randomSeed = fields?.randomSeed ?? this.randomSeed;
     this.batchSize = fields?.batchSize ?? this.batchSize;
     this.streaming = fields?.streaming ?? this.streaming;
-    this.serverURL = fields?.serverURL;
+    this.serverURL = fields?.serverURL ?? this.serverURL;
     this.maxRetries = fields?.maxRetries;
     this.maxConcurrency = fields?.maxConcurrency;
     this.beforeRequestHooks = fields?.beforeRequestHooks ?? this.beforeRequestHooks;
@@ -419,23 +431,23 @@ Either provide one via the "apiKey" field in the constructor, or set the "MISTRA
         this.requestErrorHooks,
         this.responseHooks
       ].some(hook => hook && hook.length > 0);
-      if(hasHooks && !this.httpClient) {
+      if (hasHooks && !this.httpClient) {
         this.httpClient = new MistralAIHTTPClient();
       }
 
-      if(this.beforeRequestHooks) {
+      if (this.beforeRequestHooks) {
         for(const hook of this.beforeRequestHooks) {
           this.httpClient?.addHook("beforeRequest", hook);
         }
       }
 
-      if(this.requestErrorHooks) {
+      if (this.requestErrorHooks) {
         for(const hook of this.requestErrorHooks) {
           this.httpClient?.addHook("requestError", hook);
         }
       }
 
-      if(this.responseHooks) {
+      if (this.responseHooks) {
         for(const hook of this.responseHooks) {
           this.httpClient?.addHook("response", hook);
         }
@@ -447,19 +459,19 @@ Either provide one via the "apiKey" field in the constructor, or set the "MISTRA
 
   removeAllHooksFromHttpClient() {
     try {
-      if(this.beforeRequestHooks) {
+      if (this.beforeRequestHooks) {
         for(const hook of this.beforeRequestHooks) {
           this.httpClient?.removeHook("beforeRequest", hook);
         }
       }
 
-      if(this.requestErrorHooks) {
+      if (this.requestErrorHooks) {
         for(const hook of this.requestErrorHooks) {
           this.httpClient?.removeHook("requestError", hook);
         }
       }
 
-      if(this.responseHooks) {
+      if (this.responseHooks) {
         for(const hook of this.responseHooks) {
           this.httpClient?.removeHook("response", hook);
         }

From f81af226a651422be4f4231baa54a8e2c68ac8f7 Mon Sep 17 00:00:00 2001
From: BaNg-W <bang344251871@gmail.com>
Date: Sat, 9 Nov 2024 21:35:05 -0500
Subject: [PATCH 014/344] Integration Test debugging and fix implementations

Co-authored-by: CarterMorris <CarterMorris@users.noreply.github.com>
---
 libs/langchain-mistralai/src/chat_models.ts   | 81 +++++++++----------
 libs/langchain-mistralai/src/embeddings.ts    |  7 +-
 libs/langchain-mistralai/src/llms.ts          |  6 +-
 .../src/tests/chat_models.int.test.ts         | 65 ++++++---------
 .../src/tests/llms.int.test.ts                |  2 +-
 5 files changed, 72 insertions(+), 89 deletions(-)

diff --git a/libs/langchain-mistralai/src/chat_models.ts b/libs/langchain-mistralai/src/chat_models.ts
index 3d80c670a94c..bb7aeb65cab8 100644
--- a/libs/langchain-mistralai/src/chat_models.ts
+++ b/libs/langchain-mistralai/src/chat_models.ts
@@ -176,17 +176,17 @@ export interface ChatMistralAIInput
    * A list of custom hooks that must follow (req: Request) => Awaitable<Request | void>
    * They are automatically added when a ChatMistralAI instance is created
    */
-  beforeRequestHooks?: Array<BeforeRequestHook>;
+  beforeRequestHooks?: BeforeRequestHook[];
   /**
    * A list of custom hooks that must follow (err: unknown, req: Request) => Awaitable<void>
    * They are automatically added when a ChatMistralAI instance is created
    */
-  requestErrorHooks?: Array<RequestErrorHook>;
+  requestErrorHooks?: RequestErrorHook[];
   /**
    * A list of custom hooks that must follow (res: Response, req: Request) => Awaitable<void>
    * They are automatically added when a ChatMistralAI instance is created
    */
-  responseHooks?: Array<ResponseHook>;
+  responseHooks?: ResponseHook[];
   /**
    * Custom HTTP client to manage API requests
    * Allows users to add custom fetch implementations, hooks, as well as error and response processing.
@@ -354,12 +354,12 @@ function mistralAIResponseToChatMessage(
   if (message === undefined) {
     throw new Error("No message found in response");
   }
-  // MistralAI SDK does not include tool_calls in the non
+  // MistralAI SDK does not include toolCalls in the non
   // streaming return type, so we need to extract it like this
   // to satisfy typescript.
   let rawToolCalls: MistralAIToolCall[] = [];
-  if ("tool_calls" in message && Array.isArray(message.tool_calls)) {
-    rawToolCalls = message.tool_calls as MistralAIToolCall[];
+  if ("toolCalls" in message && Array.isArray(message.toolCalls)) {
+    rawToolCalls = message.toolCalls;
   }
   switch (message.role) {
     case "assistant": {
@@ -400,11 +400,11 @@ function _convertDeltaToMessageChunk(
   delta: {
     role?: string | undefined;
     content?: string | null | undefined;
-    tool_calls?: MistralAIToolCall[] | null | undefined;
+    toolCalls?: MistralAIToolCall[] | null | undefined;
   },
   usage?: MistralAITokenUsage | null
 ) {
-  if (!delta.content && !delta.tool_calls) {
+  if (!delta.content && !delta.toolCalls) {
     if (usage) {
       return new AIMessageChunk({
         content: "",
@@ -422,8 +422,8 @@ function _convertDeltaToMessageChunk(
   // Our merge additional kwargs util function will throw unless there
   // is an index key in each tool object (as seen in OpenAI's) so we
   // need to insert it here.
-  const rawToolCallChunksWithIndex = delta.tool_calls?.length
-    ? delta.tool_calls?.map(
+  const rawToolCallChunksWithIndex = delta.toolCalls?.length
+    ? delta.toolCalls?.map(
         (toolCall, index): MistralAIToolCall & { index: number } => ({
           ...toolCall,
           index,
@@ -956,7 +956,7 @@ export class ChatMistralAI<
    */
   invocationParams(
     options?: this["ParsedCallOptions"]
-  ): Omit<MistralAIChatCompletionRequest, "messages"> {
+  ): Omit<MistralAIChatCompletionRequest | MistralAIChatCompletionStreamRequest, "messages"> {
     const { response_format, tools, tool_choice } = options ?? {};
     const mistralAITools: Array<MistralAITool> | undefined = tools?.length
       ? _convertToolToMistralTool(tools)
@@ -988,7 +988,7 @@ export class ChatMistralAI<
   /**
    * Calls the MistralAI API with retry logic in case of failures.
    * @param {ChatRequest} input The input to send to the MistralAI API.
-   * @returns {Promise<MistralAIChatCompletionResult | AsyncGenerator<MistralAIChatCompletionResult>>} The response from the MistralAI API.
+   * @returns {Promise<MistralAIChatCompletionResult | AsyncIterable<MistralAIChatCompletionEvent>>} The response from the MistralAI API.
    */
   async completionWithRetry(
     input: MistralAIChatCompletionStreamRequest,
@@ -1282,7 +1282,6 @@ export class ChatMistralAI<
     RunOutput extends Record<string, any> = Record<string, any>
   >(
     outputSchema:
-      | StructuredOutputMethodParams<RunOutput, false>
       | z.ZodType<RunOutput>
       // eslint-disable-next-line @typescript-eslint/no-explicit-any
       | Record<string, any>,
@@ -1294,7 +1293,6 @@ export class ChatMistralAI<
     RunOutput extends Record<string, any> = Record<string, any>
   >(
     outputSchema:
-      | StructuredOutputMethodParams<RunOutput, true>
       | z.ZodType<RunOutput>
       // eslint-disable-next-line @typescript-eslint/no-explicit-any
       | Record<string, any>,
@@ -1306,7 +1304,6 @@ export class ChatMistralAI<
     RunOutput extends Record<string, any> = Record<string, any>
   >(
     outputSchema:
-      | StructuredOutputMethodParams<RunOutput, boolean>
       | z.ZodType<RunOutput>
       // eslint-disable-next-line @typescript-eslint/no-explicit-any
       | Record<string, any>,
@@ -1322,17 +1319,17 @@ export class ChatMistralAI<
     let name;
     let method;
     let includeRaw;
-    if (isStructuredOutputMethodParams(outputSchema)) {
-      schema = outputSchema.schema;
-      name = outputSchema.name;
-      method = outputSchema.method;
-      includeRaw = outputSchema.includeRaw;
-    } else {
+    // if (isStructuredOutputMethodParams(outputSchema)) {
+    //   schema = outputSchema.schema;
+    //   name = outputSchema.name;
+    //   method = outputSchema.method;
+    //   includeRaw = outputSchema.includeRaw;
+    // } else {
       schema = outputSchema;
       name = config?.name;
       method = config?.method;
       includeRaw = config?.includeRaw;
-    }
+    // }
     let llm: Runnable<BaseLanguageModelInput>;
     let outputParser: BaseLLMOutputParser<RunOutput>;
 
@@ -1350,8 +1347,8 @@ export class ChatMistralAI<
       // Is function calling
       if (isZodSchema(schema)) {
         const asJsonSchema = zodToJsonSchema(schema);
-        llm = this.bind({
-          tools: [
+        llm = this.bindTools(
+          [
             {
               type: "function" as const,
               function: {
@@ -1361,8 +1358,9 @@ export class ChatMistralAI<
               },
             },
           ],
-          tool_choice: "any",
-        } as Partial<CallOptions>);
+          {
+            tool_choice: "any"
+          } as Partial<CallOptions>);
         outputParser = new JsonOutputKeyToolsParser({
           returnSingle: true,
           keyName: functionName,
@@ -1384,15 +1382,16 @@ export class ChatMistralAI<
             parameters: schema,
           };
         }
-        llm = this.bind({
-          tools: [
+        llm = this.bindTools(
+          [
             {
               type: "function" as const,
               function: openAIFunctionDefinition,
             },
           ],
-          tool_choice: "any",
-        } as Partial<CallOptions>);
+          {
+            tool_choice: "any"
+          } as Partial<CallOptions>);
         outputParser = new JsonOutputKeyToolsParser<RunOutput>({
           returnSingle: true,
           keyName: functionName,
@@ -1440,14 +1439,14 @@ function isZodSchema<
   return typeof (input as z.ZodType<RunOutput>)?.parse === "function";
 }
 
-function isStructuredOutputMethodParams(
-  x: unknown
-  // eslint-disable-next-line @typescript-eslint/no-explicit-any
-): x is StructuredOutputMethodParams<Record<string, any>> {
-  return (
-    x !== undefined &&
-    // eslint-disable-next-line @typescript-eslint/no-explicit-any
-    typeof (x as StructuredOutputMethodParams<Record<string, any>>).schema ===
-      "object"
-  );
-}
+// function isStructuredOutputMethodParams(
+//   x: unknown
+//   // eslint-disable-next-line @typescript-eslint/no-explicit-any
+// ): x is StructuredOutputMethodParams<Record<string, any>> {
+//   return (
+//     x !== undefined &&
+//     // eslint-disable-next-line @typescript-eslint/no-explicit-any
+//     typeof (x as StructuredOutputMethodParams<Record<string, any>>).schema ===
+//       "object"
+//   );
+// }
diff --git a/libs/langchain-mistralai/src/embeddings.ts b/libs/langchain-mistralai/src/embeddings.ts
index e4b3a1657eab..382e1fd65a19 100644
--- a/libs/langchain-mistralai/src/embeddings.ts
+++ b/libs/langchain-mistralai/src/embeddings.ts
@@ -60,17 +60,17 @@ export interface MistralAIEmbeddingsParams extends EmbeddingsParams {
    * A list of custom hooks that must follow (req: Request) => Awaitable<Request | void>
    * They are automatically added when a ChatMistralAI instance is created
    */
-  beforeRequestHooks?: Array<BeforeRequestHook>;
+  beforeRequestHooks?: BeforeRequestHook[];
   /**
      * A list of custom hooks that must follow (err: unknown, req: Request) => Awaitable<void>
      * They are automatically added when a ChatMistralAI instance is created
      */
-  requestErrorHooks?: Array<RequestErrorHook>;
+  requestErrorHooks?: RequestErrorHook[];
   /**
      * A list of custom hooks that must follow (res: Response, req: Request) => Awaitable<void>
      * They are automatically added when a ChatMistralAI instance is created
      */
-  responseHooks?: Array<ResponseHook>;
+  responseHooks?: ResponseHook[];
   /**
    * Optional custom HTTP client to manage API requests
    * Allows users to add custom fetch implementations, hooks, as well as error and response processing.
@@ -201,7 +201,6 @@ export class MistralAIEmbeddings
     return this.caller.call(async () => {
       const res = await client.embeddings.create(
         embeddingsRequest,
-        // Could add options here
       );
       return res;
     });
diff --git a/libs/langchain-mistralai/src/llms.ts b/libs/langchain-mistralai/src/llms.ts
index a0ff711f358c..ade20eab9a95 100644
--- a/libs/langchain-mistralai/src/llms.ts
+++ b/libs/langchain-mistralai/src/llms.ts
@@ -83,17 +83,17 @@ export interface MistralAIInput extends BaseLLMParams {
    * A list of custom hooks that must follow (req: Request) => Awaitable<Request | void>
    * They are automatically added when a ChatMistralAI instance is created
    */
-  beforeRequestHooks?: Array<BeforeRequestHook>;
+  beforeRequestHooks?: BeforeRequestHook[];
   /**
      * A list of custom hooks that must follow (err: unknown, req: Request) => Awaitable<void>
      * They are automatically added when a ChatMistralAI instance is created
      */
-  requestErrorHooks?: Array<RequestErrorHook>;
+  requestErrorHooks?: RequestErrorHook[];
   /**
      * A list of custom hooks that must follow (res: Response, req: Request) => Awaitable<void>
      * They are automatically added when a ChatMistralAI instance is created
      */
-  responseHooks?: Array<ResponseHook>;
+  responseHooks?: ResponseHook[];
   /**
    * Optional custom HTTP client to manage API requests
    * Allows users to add custom fetch implementations, hooks, as well as error and response processing.
diff --git a/libs/langchain-mistralai/src/tests/chat_models.int.test.ts b/libs/langchain-mistralai/src/tests/chat_models.int.test.ts
index 39e88c34a0db..bcff1c08f91c 100644
--- a/libs/langchain-mistralai/src/tests/chat_models.int.test.ts
+++ b/libs/langchain-mistralai/src/tests/chat_models.int.test.ts
@@ -5,14 +5,13 @@ import { z } from "zod";
 import {
   AIMessage,
   AIMessageChunk,
-  BaseMessage,
   HumanMessage,
   ToolMessage,
 } from "@langchain/core/messages";
 import { zodToJsonSchema } from "zod-to-json-schema";
 import { ChatMistralAI } from "../chat_models.js";
 
-test("Test ChatMistralAI can invoke", async () => {
+test("Test ChatMistralAI can invoke hello", async () => {
   const model = new ChatMistralAI({
     model: "mistral-tiny",
   });
@@ -80,19 +79,17 @@ test("Can call tools using structured tools", async () => {
 
   const chain = prompt.pipe(model);
   const response = await chain.invoke({});
-  expect("tool_calls" in response.additional_kwargs).toBe(true);
+  expect("tool_calls" in response).toBe(true);
   // console.log(response.additional_kwargs.tool_calls?.[0]);
-  expect(response.additional_kwargs.tool_calls?.[0].function.name).toBe(
+  expect(response.tool_calls?.[0].name).toBe(
     "calculator"
   );
   expect(
-    JSON.parse(
-      response.additional_kwargs.tool_calls?.[0].function.arguments ?? "{}"
-    ).calculator
+    response.tool_calls?.[0].args?.calculator
   ).toBeDefined();
 });
 
-test("Can call tools", async () => {
+test("Can call tools using raw tools", async () => {
   const tools = [
     {
       type: "function",
@@ -130,19 +127,11 @@ test("Can call tools", async () => {
   const response = await chain.invoke({});
   // console.log(response);
   expect(response.tool_calls?.length).toEqual(1);
-  expect(response.tool_calls?.[0].args).toEqual(
-    JSON.parse(
-      response.additional_kwargs.tool_calls?.[0].function.arguments ?? "{}"
-    )
-  );
-  expect("tool_calls" in response.additional_kwargs).toBe(true);
-  expect(response.additional_kwargs.tool_calls?.[0].function.name).toBe(
+  expect(response.tool_calls?.[0].name).toBe(
     "calculator"
   );
   expect(
-    JSON.parse(
-      response.additional_kwargs.tool_calls?.[0].function.arguments ?? "{}"
-    ).calculator
+    response.tool_calls?.[0].args?.calculator
   ).toBeDefined();
 });
 
@@ -179,7 +168,7 @@ test("Can call .stream with tool calling", async () => {
 
   const chain = prompt.pipe(model);
   const response = await chain.stream({});
-  let finalRes: BaseMessage | null = null;
+  let finalRes: AIMessageChunk | null = null;
   for await (const chunk of response) {
     // console.log(chunk);
     finalRes = chunk;
@@ -188,15 +177,13 @@ test("Can call .stream with tool calling", async () => {
     throw new Error("No final response found");
   }
 
-  expect("tool_calls" in finalRes.additional_kwargs).toBe(true);
+  expect("tool_calls" in finalRes).toBe(true);
   // console.log(finalRes.additional_kwargs.tool_calls?.[0]);
-  expect(finalRes.additional_kwargs.tool_calls?.[0].function.name).toBe(
+  expect(finalRes.tool_calls?.[0].name).toBe(
     "calculator"
   );
   expect(
-    JSON.parse(
-      finalRes.additional_kwargs.tool_calls?.[0].function.arguments ?? "{}"
-    ).calculator
+    finalRes.tool_calls?.[0].args.calculator
   ).toBeDefined();
 });
 
@@ -302,7 +289,7 @@ test("Can stream and concat responses for a complex tool", async () => {
 
   const chain = prompt.pipe(model);
   const response = await chain.stream({});
-  let finalRes: BaseMessage[] = [];
+  let finalRes: AIMessageChunk[] = [];
   for await (const chunk of response) {
     // console.log(chunk);
     finalRes = finalRes.concat(chunk);
@@ -311,11 +298,10 @@ test("Can stream and concat responses for a complex tool", async () => {
     throw new Error("No final response found");
   }
 
-  expect(finalRes[0].additional_kwargs.tool_calls?.[0]).toBeDefined();
-  const toolCall = finalRes[0].additional_kwargs.tool_calls?.[0];
-  expect(toolCall?.function.name).toBe("person_traits");
-  const args = JSON.parse(toolCall?.function.arguments ?? "{}");
-  const { person } = args;
+  expect(finalRes[0].tool_calls?.[0]).toBeDefined();
+  const toolCall = finalRes[0].tool_calls?.[0];
+  expect(toolCall?.name).toBe("person_traits");
+  const person = toolCall?.args?.person;
   expect(person).toBeDefined();
   expect(person.name).toBeDefined();
   expect(person.age).toBeDefined();
@@ -406,7 +392,7 @@ describe("withStructuredOutput", () => {
     ]);
     const chain = prompt.pipe(modelWithStructuredOutput);
     const result = await chain.invoke({});
-    // console.log(result);
+    console.log(result);
     expect("operation" in result).toBe(true);
     expect("number1" in result).toBe(true);
     expect("number2" in result).toBe(true);
@@ -812,7 +798,7 @@ describe("codestral-latest", () => {
     expect(fullMessage.toLowerCase()).toContain("world");
   });
 
-  test("Can call tools using structured tools codestral-latest", async () => {
+  test("Can call tools using codestral-latest structured tools", async () => {
     class CodeSandbox extends StructuredTool {
       name = "code_sandbox";
 
@@ -850,16 +836,15 @@ describe("codestral-latest", () => {
         "Write a function that takes in a single argument and logs it to the console. Ensure the code is in Python.",
     });
     // console.log(response);
-    expect("tool_calls" in response.additional_kwargs).toBe(true);
-    // console.log(response.additional_kwargs.tool_calls?.[0]);
-    if (!response.additional_kwargs.tool_calls?.[0]) {
+    expect("tool_calls" in response).toBe(true);
+    // console.log(response.tool_calls?.[0]);
+    if (!response.tool_calls?.[0]) {
       throw new Error("No tool call found");
     }
-    const sandboxTool = response.additional_kwargs.tool_calls[0];
-    expect(sandboxTool.function.name).toBe("code_sandbox");
-    const parsedArgs = JSON.parse(sandboxTool.function.arguments);
-    expect(parsedArgs.code).toBeDefined();
-    // console.log(parsedArgs.code);
+    const sandboxTool = response.tool_calls[0];
+    expect(sandboxTool.name).toBe("code_sandbox");
+    expect(sandboxTool.args?.code).toBeDefined();
+    // console.log(sandboxTool.args?.code);
   });
 });
 
diff --git a/libs/langchain-mistralai/src/tests/llms.int.test.ts b/libs/langchain-mistralai/src/tests/llms.int.test.ts
index 6fc263a0eb00..bc51e1404083 100644
--- a/libs/langchain-mistralai/src/tests/llms.int.test.ts
+++ b/libs/langchain-mistralai/src/tests/llms.int.test.ts
@@ -7,7 +7,7 @@ import { MistralAI } from "../llms.js";
 // Save the original value of the 'LANGCHAIN_CALLBACKS_BACKGROUND' environment variable
 const originalBackground = process.env.LANGCHAIN_CALLBACKS_BACKGROUND;
 
-test("Test MistralAI", async () => {
+test("Test MistralAI default", async () => {
   const model = new MistralAI({
     maxTokens: 5,
     model: "codestral-latest",

From 58b839edd34f105515e09cb8cbebb7787ce39d73 Mon Sep 17 00:00:00 2001
From: CarterMorris <carter.morris@mail.utoronto.ca>
Date: Sun, 10 Nov 2024 16:58:44 -0500
Subject: [PATCH 015/344] Reverted bindTools to bind in withStructuredOutput

---
 libs/langchain-mistralai/src/chat_models.ts | 16 +++++++---------
 1 file changed, 7 insertions(+), 9 deletions(-)

diff --git a/libs/langchain-mistralai/src/chat_models.ts b/libs/langchain-mistralai/src/chat_models.ts
index bb7aeb65cab8..2d78b74334e1 100644
--- a/libs/langchain-mistralai/src/chat_models.ts
+++ b/libs/langchain-mistralai/src/chat_models.ts
@@ -1347,8 +1347,8 @@ export class ChatMistralAI<
       // Is function calling
       if (isZodSchema(schema)) {
         const asJsonSchema = zodToJsonSchema(schema);
-        llm = this.bindTools(
-          [
+        llm = this.bind({
+          tools: [
             {
               type: "function" as const,
               function: {
@@ -1358,9 +1358,8 @@ export class ChatMistralAI<
               },
             },
           ],
-          {
-            tool_choice: "any"
-          } as Partial<CallOptions>);
+          tool_choice: "any",
+        } as Partial<CallOptions>);
         outputParser = new JsonOutputKeyToolsParser({
           returnSingle: true,
           keyName: functionName,
@@ -1382,15 +1381,14 @@ export class ChatMistralAI<
             parameters: schema,
           };
         }
-        llm = this.bindTools(
-          [
+        llm = this.bind({
+          tools: [
             {
               type: "function" as const,
               function: openAIFunctionDefinition,
             },
           ],
-          {
-            tool_choice: "any"
+          tool_choice: "any",
           } as Partial<CallOptions>);
         outputParser = new JsonOutputKeyToolsParser<RunOutput>({
           returnSingle: true,

From bfceabd07bce808c870473029e759b4ce3026ee8 Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Tue, 13 Aug 2024 00:23:31 -0700
Subject: [PATCH 016/344] Improve docstring format for streamEvents (#6513)

---
 langchain-core/src/runnables/base.ts | 6 +++++-
 1 file changed, 5 insertions(+), 1 deletion(-)

diff --git a/langchain-core/src/runnables/base.ts b/langchain-core/src/runnables/base.ts
index 4cd865377be9..d79a19a17718 100644
--- a/langchain-core/src/runnables/base.ts
+++ b/langchain-core/src/runnables/base.ts
@@ -760,6 +760,7 @@ export abstract class Runnable<
    *
    * **ATTENTION** This reference table is for the V2 version of the schema.
    *
+   * ```md
    * +----------------------+------------------+---------------------------------+-----------------------------------------------+-------------------------------------------------+
    * | event                | name             | chunk                           | input                                         | output                                          |
    * +======================+==================+=================================+===============================================+=================================================+
@@ -793,6 +794,7 @@ export abstract class Runnable<
    * +----------------------+------------------+---------------------------------+-----------------------------------------------+-------------------------------------------------+
    * | on_prompt_end        | [template_name]  |                                 | {"question": "hello"}                         | ChatPromptValue(messages: [SystemMessage, ...]) |
    * +----------------------+------------------+---------------------------------+-----------------------------------------------+-------------------------------------------------+
+   * ```
    *
    * The "on_chain_*" events are the default for Runnables that don't fit one of the above categories.
    *
@@ -802,6 +804,7 @@ export abstract class Runnable<
    *
    * A custom event has following format:
    *
+   * ```md
    * +-----------+------+-----------------------------------------------------------------------------------------------------------+
    * | Attribute | Type | Description                                                                                               |
    * +===========+======+===========================================================================================================+
@@ -809,9 +812,10 @@ export abstract class Runnable<
    * +-----------+------+-----------------------------------------------------------------------------------------------------------+
    * | data      | Any  | The data associated with the event. This can be anything, though we suggest making it JSON serializable.  |
    * +-----------+------+-----------------------------------------------------------------------------------------------------------+
+   * ```
    *
    * Here's an example:
-   * @example
+   *
    * ```ts
    * import { RunnableLambda } from "@langchain/core/runnables";
    * import { dispatchCustomEvent } from "@langchain/core/callbacks/dispatch";

From 94a0dd2f5be6ac27ffed8f17fca943789ca4d79d Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Tue, 13 Aug 2024 01:47:48 -0700
Subject: [PATCH 017/344] Fix self-query retriever tracing (#6515)

---
 .../src/retrievers/self_query/functional.ts     |  2 +-
 langchain/src/retrievers/self_query/index.ts    | 17 ++++++++++-------
 .../tests/memory_self_query.int.test.ts         | 16 ++++++++--------
 3 files changed, 19 insertions(+), 16 deletions(-)

diff --git a/langchain/src/retrievers/self_query/functional.ts b/langchain/src/retrievers/self_query/functional.ts
index c3b7b9aebfaa..b38b65569e76 100644
--- a/langchain/src/retrievers/self_query/functional.ts
+++ b/langchain/src/retrievers/self_query/functional.ts
@@ -1,4 +1,4 @@
 export {
-  FunctionFilter,
+  type FunctionFilter,
   FunctionalTranslator,
 } from "@langchain/core/structured_query";
diff --git a/langchain/src/retrievers/self_query/index.ts b/langchain/src/retrievers/self_query/index.ts
index 6b348104a4b8..3758f8267dcd 100644
--- a/langchain/src/retrievers/self_query/index.ts
+++ b/langchain/src/retrievers/self_query/index.ts
@@ -101,7 +101,10 @@ export class SelfQueryRetriever<T extends VectorStore>
   ): Promise<Document<Record<string, unknown>>[]> {
     const generatedStructuredQuery = await this.queryConstructor.invoke(
       { query },
-      runManager?.getChild("query_constructor")
+      {
+        callbacks: runManager?.getChild("query_constructor"),
+        runName: "query_constructor",
+      }
     );
 
     const nextArg = this.structuredQueryTranslator.visitStructuredQuery(
@@ -122,12 +125,12 @@ export class SelfQueryRetriever<T extends VectorStore>
       myQuery = generatedQuery;
     }
 
-    return this.vectorStore.similaritySearch(
-      myQuery,
-      this.searchParams?.k,
-      filter,
-      runManager?.getChild("vectorstore")
-    );
+    return this.vectorStore
+      .asRetriever({
+        k: this.searchParams?.k,
+        filter,
+      })
+      .invoke(myQuery, { callbacks: runManager?.getChild("retriever") });
   }
 
   /**
diff --git a/langchain/src/retrievers/self_query/tests/memory_self_query.int.test.ts b/langchain/src/retrievers/self_query/tests/memory_self_query.int.test.ts
index 6321155c1655..695349dbc3c3 100644
--- a/langchain/src/retrievers/self_query/tests/memory_self_query.int.test.ts
+++ b/langchain/src/retrievers/self_query/tests/memory_self_query.int.test.ts
@@ -1,6 +1,6 @@
 import { test } from "@jest/globals";
 import { Document } from "@langchain/core/documents";
-import { OpenAIEmbeddings, OpenAI } from "@langchain/openai";
+import { OpenAIEmbeddings, ChatOpenAI } from "@langchain/openai";
 import { AttributeInfo } from "../../../chains/query_constructor/index.js";
 import { SelfQueryRetriever } from "../index.js";
 import { FunctionalTranslator } from "../functional.js";
@@ -73,8 +73,8 @@ test("Memory Vector Store Self Query Retriever Test", async () => {
   ];
 
   const embeddings = new OpenAIEmbeddings();
-  const llm = new OpenAI({
-    modelName: "gpt-3.5-turbo",
+  const llm = new ChatOpenAI({
+    model: "gpt-4o-mini",
   });
   const documentContents = "Brief summary of a movie";
   const vectorStore = await MemoryVectorStore.fromDocuments(docs, embeddings);
@@ -203,8 +203,8 @@ test("Memory Vector Store Self Query Retriever Test With Default Filter Or Merge
   ];
 
   const embeddings = new OpenAIEmbeddings();
-  const llm = new OpenAI({
-    modelName: "gpt-3.5-turbo",
+  const llm = new ChatOpenAI({
+    model: "gpt-4o-mini",
   });
   const documentContents = "Brief summary of a movie";
   const vectorStore = await MemoryVectorStore.fromDocuments(docs, embeddings);
@@ -344,8 +344,8 @@ test("Memory Vector Store Self Query Retriever Test With Default Filter And Merg
   ];
 
   const embeddings = new OpenAIEmbeddings();
-  const llm = new OpenAI({
-    modelName: "gpt-3.5-turbo",
+  const llm = new ChatOpenAI({
+    model: "gpt-4o-mini",
   });
   const documentContents = "Brief summary of a movie";
   const vectorStore = await MemoryVectorStore.fromDocuments(docs, embeddings);
@@ -384,5 +384,5 @@ test("Memory Vector Store Self Query Retriever Test With Default Filter And Merg
     "Awawawa au au au wawawawa hello?"
   );
   // console.log(query4);
-  expect(query4.length).toEqual(0); // this one should return documents since default filter takes over
+  expect(query4.length).toEqual(7); // this one should return documents since default filter takes over
 });

From 7f29dc13fec791f87cdd0ea683bb16da1c894e09 Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Tue, 13 Aug 2024 01:56:57 -0700
Subject: [PATCH 018/344] Skip API ref preview deploy on PR (#6516)

---
 .github/workflows/deploy-api-refs-preview.yml | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/.github/workflows/deploy-api-refs-preview.yml b/.github/workflows/deploy-api-refs-preview.yml
index db2c512d18fa..65904ae772a0 100644
--- a/.github/workflows/deploy-api-refs-preview.yml
+++ b/.github/workflows/deploy-api-refs-preview.yml
@@ -2,7 +2,8 @@ name: Deploy API Refs Preview
 
 on:
   workflow_dispatch:  # Allows triggering the workflow manually in GitHub UI
-  pull_request:
+  # Avoid deploying on PR due to rate limits
+  # pull_request:
 
 # If another push to the same PR or branch happens while this workflow is still running,
 # cancel the earlier run in favor of the next run.

From 38cf36a94fd92071ce5442accea304c0b45ba564 Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Tue, 13 Aug 2024 04:42:21 -0700
Subject: [PATCH 019/344] Release 0.2.16 (#6517)

---
 langchain/package.json | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/langchain/package.json b/langchain/package.json
index 75af947d0767..bbf93f6eab95 100644
--- a/langchain/package.json
+++ b/langchain/package.json
@@ -1,6 +1,6 @@
 {
   "name": "langchain",
-  "version": "0.2.15",
+  "version": "0.2.16",
   "description": "Typescript bindings for langchain",
   "type": "module",
   "engines": {

From 2772d77029a1cf18388a59468a958095f36b1f9d Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Tue, 13 Aug 2024 15:30:09 -0700
Subject: [PATCH 020/344] docs[patch]: Adds vector store and tool docstrings
 (#6521)

---
 .../tools/duckduckgo_search.ipynb             |   2 +-
 .../integrations/tools/tavily_search.ipynb    |   2 +-
 .../integrations/vectorstores/memory.ipynb    |   2 +-
 langchain/src/vectorstores/memory.ts          | 111 ++++++++++++-
 .../src/tools/duckduckgo_search.ts            |  65 +++++++-
 .../src/tools/tavily_search.ts                |  65 +++++++-
 .../src/tools/wikipedia_query_run.ts          |  64 +++++++-
 .../src/vectorstores/chroma.ts                |  38 ++---
 .../src/vectorstores/pgvector.ts              | 150 +++++++++++++++++-
 .../src/vectorstores/supabase.ts              | 133 +++++++++++++++-
 libs/langchain-exa/src/tools.ts               |  70 +++++++-
 libs/langchain-pinecone/src/vectorstores.ts   | 133 +++++++++++++++-
 12 files changed, 788 insertions(+), 47 deletions(-)

diff --git a/docs/core_docs/docs/integrations/tools/duckduckgo_search.ipynb b/docs/core_docs/docs/integrations/tools/duckduckgo_search.ipynb
index e0053c4cd9b1..1ff5b72ffdea 100644
--- a/docs/core_docs/docs/integrations/tools/duckduckgo_search.ipynb
+++ b/docs/core_docs/docs/integrations/tools/duckduckgo_search.ipynb
@@ -30,7 +30,7 @@
     "### Integration details\n",
     "\n",
     "| Class | Package | [PY support](https://python.langchain.com/docs/integrations/tools/ddg/) | Package latest |\n",
-    "| :--- | :--- | :---: | :---: | :---: |\n",
+    "| :--- | :--- | :---: | :---: |\n",
     "| [DuckDuckGoSearch](https://api.js.langchain.com/classes/langchain_community_tools_duckduckgo_search.DuckDuckGoSearch.html) | [`@langchain/community`](https://www.npmjs.com/package/@langchain/community) | ✅ |  ![NPM - Version](https://img.shields.io/npm/v/@langchain/community?style=flat-square&label=%20&) |\n",
     "\n",
     "## Setup\n",
diff --git a/docs/core_docs/docs/integrations/tools/tavily_search.ipynb b/docs/core_docs/docs/integrations/tools/tavily_search.ipynb
index ec6b12c0a0dd..ff63e76ba54c 100644
--- a/docs/core_docs/docs/integrations/tools/tavily_search.ipynb
+++ b/docs/core_docs/docs/integrations/tools/tavily_search.ipynb
@@ -30,7 +30,7 @@
     "### Integration details\n",
     "\n",
     "| Class | Package | [PY support](https://python.langchain.com/v0.2/docs/integrations/tools/tavily_search/) | Package latest |\n",
-    "| :--- | :--- | :---: | :---: | :---: |\n",
+    "| :--- | :--- | :---: | :---: |\n",
     "| [TavilySearchResults](https://api.js.langchain.com/classes/langchain_community_tools_tavily_search.TavilySearchResults.html) | [`@langchain/community`](https://www.npmjs.com/package/@langchain/community) | ✅ |  ![NPM - Version](https://img.shields.io/npm/v/@langchain/community?style=flat-square&label=%20&) |\n",
     "\n",
     "## Setup\n",
diff --git a/docs/core_docs/docs/integrations/vectorstores/memory.ipynb b/docs/core_docs/docs/integrations/vectorstores/memory.ipynb
index 8943d85715a9..923ac8d2a746 100644
--- a/docs/core_docs/docs/integrations/vectorstores/memory.ipynb
+++ b/docs/core_docs/docs/integrations/vectorstores/memory.ipynb
@@ -19,7 +19,7 @@
    "id": "ef1f0986",
    "metadata": {},
    "source": [
-    "# `MemoryVectorStore`\n",
+    "# MemoryVectorStore\n",
     "\n",
     "LangChain offers is an in-memory, ephemeral vectorstore that stores embeddings in-memory and does an exact, linear search for the most similar embeddings. The default similarity metric is cosine similarity, but can be changed to any of the similarity metrics supported by [ml-distance](https://mljs.github.io/distance/modules/similarity.html).\n",
     "\n",
diff --git a/langchain/src/vectorstores/memory.ts b/langchain/src/vectorstores/memory.ts
index 50c3fdc4526a..fc77840a77ab 100644
--- a/langchain/src/vectorstores/memory.ts
+++ b/langchain/src/vectorstores/memory.ts
@@ -29,9 +29,114 @@ export interface MemoryVectorStoreArgs {
 }
 
 /**
- * Class that extends `VectorStore` to store vectors in memory. Provides
- * methods for adding documents, performing similarity searches, and
- * creating instances from texts, documents, or an existing index.
+ * In-memory, ephemeral vector store.
+ *
+ * Setup:
+ * Install `langchain`:
+ *
+ * ```bash
+ * npm install langchain
+ * ```
+ *
+ * ## [Constructor args](https://api.js.langchain.com/classes/langchain.vectorstores_memory.MemoryVectorStore.html#constructor)
+ *
+ * <details open>
+ * <summary><strong>Instantiate</strong></summary>
+ *
+ * ```typescript
+ * import { MemoryVectorStore } from 'langchain/vectorstores/memory';
+ * // Or other embeddings
+ * import { OpenAIEmbeddings } from '@langchain/openai';
+ *
+ * const embeddings = new OpenAIEmbeddings({
+ *   model: "text-embedding-3-small",
+ * });
+ *
+ * const vectorStore = new MemoryVectorStore(embeddings);
+ * ```
+ * </details>
+ *
+ * <br />
+ *
+ * <details>
+ * <summary><strong>Add documents</strong></summary>
+ *
+ * ```typescript
+ * import type { Document } from '@langchain/core/documents';
+ *
+ * const document1 = { pageContent: "foo", metadata: { baz: "bar" } };
+ * const document2 = { pageContent: "thud", metadata: { bar: "baz" } };
+ * const document3 = { pageContent: "i will be deleted :(", metadata: {} };
+ *
+ * const documents: Document[] = [document1, document2, document3];
+ *
+ * await vectorStore.addDocuments(documents);
+ * ```
+ * </details>
+ *
+ * <br />
+ *
+ * <details>
+ * <summary><strong>Similarity search</strong></summary>
+ *
+ * ```typescript
+ * const results = await vectorStore.similaritySearch("thud", 1);
+ * for (const doc of results) {
+ *   console.log(`* ${doc.pageContent} [${JSON.stringify(doc.metadata, null)}]`);
+ * }
+ * // Output: * thud [{"baz":"bar"}]
+ * ```
+ * </details>
+ *
+ * <br />
+ *
+ *
+ * <details>
+ * <summary><strong>Similarity search with filter</strong></summary>
+ *
+ * ```typescript
+ * const resultsWithFilter = await vectorStore.similaritySearch("thud", 1, { baz: "bar" });
+ *
+ * for (const doc of resultsWithFilter) {
+ *   console.log(`* ${doc.pageContent} [${JSON.stringify(doc.metadata, null)}]`);
+ * }
+ * // Output: * foo [{"baz":"bar"}]
+ * ```
+ * </details>
+ *
+ * <br />
+ *
+ *
+ * <details>
+ * <summary><strong>Similarity search with score</strong></summary>
+ *
+ * ```typescript
+ * const resultsWithScore = await vectorStore.similaritySearchWithScore("qux", 1);
+ * for (const [doc, score] of resultsWithScore) {
+ *   console.log(`* [SIM=${score.toFixed(6)}] ${doc.pageContent} [${JSON.stringify(doc.metadata, null)}]`);
+ * }
+ * // Output: * [SIM=0.000000] qux [{"bar":"baz","baz":"bar"}]
+ * ```
+ * </details>
+ *
+ * <br />
+ *
+ * <details>
+ * <summary><strong>As a retriever</strong></summary>
+ *
+ * ```typescript
+ * const retriever = vectorStore.asRetriever({
+ *   searchType: "mmr", // Leave blank for standard similarity search
+ *   k: 1,
+ * });
+ * const resultAsRetriever = await retriever.invoke("thud");
+ * console.log(resultAsRetriever);
+ *
+ * // Output: [Document({ metadata: { "baz":"bar" }, pageContent: "thud" })]
+ * ```
+ * </details>
+ *
+ * <br />
  */
 export class MemoryVectorStore extends VectorStore {
   declare FilterType: (doc: Document) => boolean;
diff --git a/libs/langchain-community/src/tools/duckduckgo_search.ts b/libs/langchain-community/src/tools/duckduckgo_search.ts
index 70c440253a1c..7bfd04307a89 100644
--- a/libs/langchain-community/src/tools/duckduckgo_search.ts
+++ b/libs/langchain-community/src/tools/duckduckgo_search.ts
@@ -24,8 +24,69 @@ export interface DuckDuckGoSearchParameters extends ToolParams {
 const DEFAULT_MAX_RESULTS = 10;
 
 /**
- * Class for interacting with the DuckDuckGo search engine
- * It extends the base Tool class to perform retrieval.
+ * DuckDuckGo tool integration.
+ *
+ * Setup:
+ * Install `@langchain/community` and `duck-duck-scrape`.
+ *
+ * ```bash
+ * npm install @langchain/community duck-duck-scrape
+ * ```
+ *
+ * ## [Constructor args](https://api.js.langchain.com/classes/_langchain_community.tools_duckduckgo_search.DuckDuckGoSearch.html#constructor)
+ *
+ * <details open>
+ * <summary><strong>Instantiate</strong></summary>
+ *
+ * ```typescript
+ * import { DuckDuckGoSearch } from "@langchain/community/tools/duckduckgo_search";
+ *
+ * const tool = new DuckDuckGoSearch({ maxResults: 1 });
+ * ```
+ * </details>
+ *
+ * <br />
+ *
+ * <details>
+ *
+ * <summary><strong>Invocation</strong></summary>
+ *
+ * ```typescript
+ * await tool.invoke("what is the current weather in sf?");
+ *
+ * // output: [{"title":"San Francisco, CA Current Weather | AccuWeather","link":"https://www.accuweather.com/en/us/san-francisco/94103/current-weather/347629","snippet":"<b>Current</b> <b>weather</b> <b>in</b> San Francisco, CA. Check <b>current</b> conditions in San Francisco, CA with radar, hourly, and more."}]
+ * ```
+ * </details>
+ *
+ * <br />
+ *
+ * <details>
+ *
+ * <summary><strong>Invocation with tool call</strong></summary>
+ *
+ * ```typescript
+ * // This is usually generated by a model, but we'll create a tool call directly for demo purposes.
+ * const modelGeneratedToolCall = {
+ *   args: {
+ *     input: "what is the current weather in sf?",
+ *   },
+ *   id: "tool_call_id",
+ *   name: tool.name,
+ *   type: "tool_call",
+ * };
+ * await tool.invoke(modelGeneratedToolCall);
+ * ```
+ *
+ * ```text
+ * ToolMessage {
+ *   "content": "[{\"title\":\"San Francisco, CA Weather Conditions | Weather Underground\",\"link\":\"https://www.wunderground.com/weather/us/ca/san-francisco\",\"snippet\":\"San Francisco <b>Weather</b> Forecasts. <b>Weather</b> Underground provides local & long-range <b>weather</b> forecasts, weatherreports, maps & tropical <b>weather</b> conditions for the San Francisco area.\"}]",
+ *   "name": "duckduckgo-search",
+ *   "additional_kwargs": {},
+ *   "response_metadata": {},
+ *   "tool_call_id": "tool_call_id"
+ * }
+ * ```
+ * </details>
  */
 export class DuckDuckGoSearch extends Tool {
   private searchOptions?: SearchOptions;
diff --git a/libs/langchain-community/src/tools/tavily_search.ts b/libs/langchain-community/src/tools/tavily_search.ts
index a68f97d5e588..b83a042f7888 100644
--- a/libs/langchain-community/src/tools/tavily_search.ts
+++ b/libs/langchain-community/src/tools/tavily_search.ts
@@ -12,7 +12,70 @@ export type TavilySearchAPIRetrieverFields = ToolParams & {
 };
 
 /**
- * Tool for the Tavily search API.
+ * Tavily search API tool integration.
+ *
+ * Setup:
+ * Install `@langchain/community`. You'll also need an API key set as `TAVILY_API_KEY`.
+ *
+ * ```bash
+ * npm install @langchain/community
+ * ```
+ *
+ * ## [Constructor args](https://api.js.langchain.com/classes/_langchain_community.tools_tavily_search.TavilySearchResults.html#constructor)
+ *
+ * <details open>
+ * <summary><strong>Instantiate</strong></summary>
+ *
+ * ```typescript
+ * import { TavilySearchResults } from "@langchain/community/tools/tavily_search";
+ *
+ * const tool = new TavilySearchResults({
+ *   maxResults: 2,
+ *   // ...
+ * });
+ * ```
+ * </details>
+ *
+ * <br />
+ *
+ * <details>
+ *
+ * <summary><strong>Invocation</strong></summary>
+ *
+ * ```typescript
+ * await tool.invoke("what is the current weather in sf?");
+ * ```
+ * </details>
+ *
+ * <br />
+ *
+ * <details>
+ *
+ * <summary><strong>Invocation with tool call</strong></summary>
+ *
+ * ```typescript
+ * // This is usually generated by a model, but we'll create a tool call directly for demo purposes.
+ * const modelGeneratedToolCall = {
+ *   args: {
+ *     input: "what is the current weather in sf?",
+ *   },
+ *   id: "tool_call_id",
+ *   name: tool.name,
+ *   type: "tool_call",
+ * };
+ * await tool.invoke(modelGeneratedToolCall);
+ * ```
+ *
+ * ```text
+ * ToolMessage {
+ *   "content": "...",
+ *   "name": "tavily_search_results_json",
+ *   "additional_kwargs": {},
+ *   "response_metadata": {},
+ *   "tool_call_id": "tool_call_id"
+ * }
+ * ```
+ * </details>
  */
 export class TavilySearchResults extends Tool {
   static lc_name(): string {
diff --git a/libs/langchain-community/src/tools/wikipedia_query_run.ts b/libs/langchain-community/src/tools/wikipedia_query_run.ts
index d0166e5c58d0..2c2f6b066761 100644
--- a/libs/langchain-community/src/tools/wikipedia_query_run.ts
+++ b/libs/langchain-community/src/tools/wikipedia_query_run.ts
@@ -53,16 +53,70 @@ interface PageResult {
 }
 
 /**
- * Class for interacting with and fetching data from the Wikipedia API. It
- * extends the Tool class.
- * @example
+ * Wikipedia query tool integration.
+ *
+ * Setup:
+ * Install `@langchain/community`. You'll also need an API key.
+ *
+ * ```bash
+ * npm install @langchain/community
+ * ```
+ *
+ * ## [Constructor args](https://api.js.langchain.com/classes/_langchain_community.tools_wikipedia_query_run.WikipediaQueryRun.html#constructor)
+ *
+ * <details open>
+ * <summary><strong>Instantiate</strong></summary>
+ *
  * ```typescript
- * const wikipediaQuery = new WikipediaQueryRun({
+ * import { WikipediaQueryRun } from "@langchain/community/tools/wikipedia_query_run";
+ *
+ * const tool = new WikipediaQueryRun({
  *   topKResults: 3,
  *   maxDocContentLength: 4000,
  * });
- * const result = await wikipediaQuery.call("Langchain");
  * ```
+ * </details>
+ *
+ * <br />
+ *
+ * <details>
+ *
+ * <summary><strong>Invocation</strong></summary>
+ *
+ * ```typescript
+ * await tool.invoke("what is the current weather in sf?");
+ * ```
+ * </details>
+ *
+ * <br />
+ *
+ * <details>
+ *
+ * <summary><strong>Invocation with tool call</strong></summary>
+ *
+ * ```typescript
+ * // This is usually generated by a model, but we'll create a tool call directly for demo purposes.
+ * const modelGeneratedToolCall = {
+ *   args: {
+ *     input: "what is the current weather in sf?",
+ *   },
+ *   id: "tool_call_id",
+ *   name: tool.name,
+ *   type: "tool_call",
+ * };
+ * await tool.invoke(modelGeneratedToolCall);
+ * ```
+ *
+ * ```text
+ * ToolMessage {
+ *   "content": "...",
+ *   "name": "wikipedia-api",
+ *   "additional_kwargs": {},
+ *   "response_metadata": {},
+ *   "tool_call_id": "tool_call_id"
+ * }
+ * ```
+ * </details>
  */
 export class WikipediaQueryRun extends Tool {
   static lc_name() {
diff --git a/libs/langchain-community/src/vectorstores/chroma.ts b/libs/langchain-community/src/vectorstores/chroma.ts
index 7cec56f83429..81731fbef087 100644
--- a/libs/langchain-community/src/vectorstores/chroma.ts
+++ b/libs/langchain-community/src/vectorstores/chroma.ts
@@ -49,24 +49,12 @@ export interface ChromaDeleteParams<T> {
  * Chroma vector store integration.
  *
  * Setup:
- * Install `@langchain/community` and `chromadb`, then clone the official `ChromaDB` repository.
+ * Install `@langchain/community` and `chromadb`.
  *
  * ```bash
  * npm install @langchain/community chromadb
  * ```
  *
- * ```bash
- * git clone https://github.com/chroma-core/chroma.git
- * ```
- *
- * Next, navigate into the `chroma` directory and start the docker container:
- *
- * ```bash
- * cd ./chroma
- *
- * docker compose up
- * ```
- *
  * ## [Constructor args](https://api.js.langchain.com/classes/langchain_community_vectorstores_chroma.Chroma.html#constructor)
  *
  * <details open>
@@ -74,10 +62,15 @@ export interface ChromaDeleteParams<T> {
  *
  * ```typescript
  * import { Chroma } from '@langchain/community/vectorstores/chroma';
+ * // Or other embeddings
  * import { OpenAIEmbeddings } from '@langchain/openai';
  *
+ * const embeddings = new OpenAIEmbeddings({
+ *   model: "text-embedding-3-small",
+ * })
+ *
  * const vectorStore = new Chroma(
- *   new OpenAIEmbeddings(),
+ *   embeddings,
  *   {
  *     collectionName: "foo",
  *     url: "http://localhost:8000", // URL of the Chroma server
@@ -92,13 +85,13 @@ export interface ChromaDeleteParams<T> {
  * <summary><strong>Add documents</strong></summary>
  *
  * ```typescript
- * import { Document } from '@langchain/core/documents';
+ * import type { Document } from '@langchain/core/documents';
  *
- * const document1 = new Document({ pageContent: "foo", metadata: { baz: "bar" } });
- * const document2 = new Document({ pageContent: "thud", metadata: { bar: "baz" } });
- * const document3 = new Document({ pageContent: "i will be deleted :(" });
+ * const document1 = { pageContent: "foo", metadata: { baz: "bar" } };
+ * const document2 = { pageContent: "thud", metadata: { bar: "baz" } };
+ * const document3 = { pageContent: "i will be deleted :(", metadata: {} };
  *
- * const documents = [document1, document2, document3];
+ * const documents: Document[] = [document1, document2, document3];
  * const ids = ["1", "2", "3"];
  * await vectorStore.addDocuments(documents, { ids });
  * ```
@@ -166,7 +159,7 @@ export interface ChromaDeleteParams<T> {
  *
  * ```typescript
  * const retriever = vectorStore.asRetriever({
- *   searchType: "mmr",
+ *   searchType: "mmr", // Leave blank for standard similarity search
  *   k: 1,
  * });
  * const resultAsRetriever = await retriever.invoke("thud");
@@ -473,10 +466,7 @@ export class Chroma extends VectorStore {
     return instance;
   }
 
-  /**
-   * Imports the `ChromaClient` from the `chromadb` module.
-   * @returns A promise that resolves with an object containing the `ChromaClient` constructor.
-   */
+  /** @ignore */
   static async imports(): Promise<{
     ChromaClient: typeof ChromaClientT;
   }> {
diff --git a/libs/langchain-community/src/vectorstores/pgvector.ts b/libs/langchain-community/src/vectorstores/pgvector.ts
index 662ce96d2889..ded20864b9f4 100644
--- a/libs/langchain-community/src/vectorstores/pgvector.ts
+++ b/libs/langchain-community/src/vectorstores/pgvector.ts
@@ -41,10 +41,152 @@ export interface PGVectorStoreArgs {
 }
 
 /**
- * Class that provides an interface to a Postgres vector database. It
- * extends the `VectorStore` base class and implements methods for adding
- * documents and vectors, performing similarity searches, and ensuring the
- * existence of a table in the database.
+ * PGVector vector store integration.
+ *
+ * Setup:
+ * Install `@langchain/community` and `pg`.
+ *
+ * If you wish to generate ids, you should also install the `uuid` package.
+ *
+ * ```bash
+ * npm install @langchain/community pg uuid
+ * ```
+ *
+ * ## [Constructor args](https://api.js.langchain.com/classes/_langchain_community.vectorstores_pgvector.PGVectorStore.html#constructor)
+ *
+ * <details open>
+ * <summary><strong>Instantiate</strong></summary>
+ *
+ * ```typescript
+ * import {
+ *   PGVectorStore,
+ *   DistanceStrategy,
+ * } from "@langchain/community/vectorstores/pgvector";
+ *
+ * // Or other embeddings
+ * import { OpenAIEmbeddings } from "@langchain/openai";
+ * import { PoolConfig } from "pg";
+ *
+ * const embeddings = new OpenAIEmbeddings({
+ *   model: "text-embedding-3-small",
+ * });
+ *
+ * // Sample config
+ * const config = {
+ *   postgresConnectionOptions: {
+ *     type: "postgres",
+ *     host: "127.0.0.1",
+ *     port: 5433,
+ *     user: "myuser",
+ *     password: "ChangeMe",
+ *     database: "api",
+ *   } as PoolConfig,
+ *   tableName: "testlangchainjs",
+ *   columns: {
+ *     idColumnName: "id",
+ *     vectorColumnName: "vector",
+ *     contentColumnName: "content",
+ *     metadataColumnName: "metadata",
+ *   },
+ *   // supported distance strategies: cosine (default), innerProduct, or euclidean
+ *   distanceStrategy: "cosine" as DistanceStrategy,
+ * };
+ *
+ * const vectorStore = await PGVectorStore.initialize(embeddings, config);
+ * ```
+ * </details>
+ *
+ * <br />
+ *
+ * <details>
+ * <summary><strong>Add documents</strong></summary>
+ *
+ * ```typescript
+ * import type { Document } from '@langchain/core/documents';
+ *
+ * const document1 = { pageContent: "foo", metadata: { baz: "bar" } };
+ * const document2 = { pageContent: "thud", metadata: { bar: "baz" } };
+ * const document3 = { pageContent: "i will be deleted :(", metadata: {} };
+ *
+ * const documents: Document[] = [document1, document2, document3];
+ * const ids = ["1", "2", "3"];
+ * await vectorStore.addDocuments(documents, { ids });
+ * ```
+ * </details>
+ *
+ * <br />
+ *
+ * <details>
+ * <summary><strong>Delete documents</strong></summary>
+ *
+ * ```typescript
+ * await vectorStore.delete({ ids: ["3"] });
+ * ```
+ * </details>
+ *
+ * <br />
+ *
+ * <details>
+ * <summary><strong>Similarity search</strong></summary>
+ *
+ * ```typescript
+ * const results = await vectorStore.similaritySearch("thud", 1);
+ * for (const doc of results) {
+ *   console.log(`* ${doc.pageContent} [${JSON.stringify(doc.metadata, null)}]`);
+ * }
+ * // Output: * thud [{"baz":"bar"}]
+ * ```
+ * </details>
+ *
+ * <br />
+ *
+ *
+ * <details>
+ * <summary><strong>Similarity search with filter</strong></summary>
+ *
+ * ```typescript
+ * const resultsWithFilter = await vectorStore.similaritySearch("thud", 1, { baz: "bar" });
+ *
+ * for (const doc of resultsWithFilter) {
+ *   console.log(`* ${doc.pageContent} [${JSON.stringify(doc.metadata, null)}]`);
+ * }
+ * // Output: * foo [{"baz":"bar"}]
+ * ```
+ * </details>
+ *
+ * <br />
+ *
+ *
+ * <details>
+ * <summary><strong>Similarity search with score</strong></summary>
+ *
+ * ```typescript
+ * const resultsWithScore = await vectorStore.similaritySearchWithScore("qux", 1);
+ * for (const [doc, score] of resultsWithScore) {
+ *   console.log(`* [SIM=${score.toFixed(6)}] ${doc.pageContent} [${JSON.stringify(doc.metadata, null)}]`);
+ * }
+ * // Output: * [SIM=0.000000] qux [{"bar":"baz","baz":"bar"}]
+ * ```
+ * </details>
+ *
+ * <br />
+ *
+ * <details>
+ * <summary><strong>As a retriever</strong></summary>
+ *
+ * ```typescript
+ * const retriever = vectorStore.asRetriever({
+ *   searchType: "mmr", // Leave blank for standard similarity search
+ *   k: 1,
+ * });
+ * const resultAsRetriever = await retriever.invoke("thud");
+ * console.log(resultAsRetriever);
+ *
+ * // Output: [Document({ metadata: { "baz":"bar" }, pageContent: "thud" })]
+ * ```
+ * </details>
+ *
+ * <br />
  */
 export class PGVectorStore extends VectorStore {
   declare FilterType: Metadata;
diff --git a/libs/langchain-community/src/vectorstores/supabase.ts b/libs/langchain-community/src/vectorstores/supabase.ts
index e12eb260933d..e8875c3aab9d 100644
--- a/libs/langchain-community/src/vectorstores/supabase.ts
+++ b/libs/langchain-community/src/vectorstores/supabase.ts
@@ -46,8 +46,137 @@ export interface SupabaseLibArgs {
 }
 
 /**
- * Class for interacting with a Supabase database to store and manage
- * vectors.
+ * Supabase vector store integration.
+ *
+ * Setup:
+ * Install `@langchain/community` and `@supabase/supabase-js`.
+ *
+ * ```bash
+ * npm install @langchain/community @supabase/supabase-js
+ * ```
+ *
+ * See https://js.langchain.com/v0.2/docs/integrations/vectorstores/supabase for
+ * instructions on how to set up your Supabase instance.
+ *
+ * ## [Constructor args](https://api.js.langchain.com/classes/_langchain_community.vectorstores_supabase.SupabaseVectorStore.html#constructor)
+ *
+ * <details open>
+ * <summary><strong>Instantiate</strong></summary>
+ *
+ * ```typescript
+ * import { SupabaseVectorStore } from "@langchain/community/vectorstores/supabase";
+ * import { OpenAIEmbeddings } from "@langchain/openai";
+ *
+ * import { createClient } from "@supabase/supabase-js";
+ *
+ * const embeddings = new OpenAIEmbeddings({
+ *   model: "text-embedding-3-small",
+ * });
+ *
+ * const supabaseClient = createClient(
+ *   process.env.SUPABASE_URL,
+ *   process.env.SUPABASE_PRIVATE_KEY
+ * );
+ *
+ * const vectorStore = new SupabaseVectorStore(embeddings, {
+ *   client: supabaseClient,
+ *   tableName: "documents",
+ *   queryName: "match_documents",
+ * });
+ * ```
+ * </details>
+ *
+ * <br />
+ *
+ * <details>
+ * <summary><strong>Add documents</strong></summary>
+ *
+ * ```typescript
+ * import type { Document } from '@langchain/core/documents';
+ *
+ * const document1 = { pageContent: "foo", metadata: { baz: "bar" } };
+ * const document2 = { pageContent: "thud", metadata: { bar: "baz" } };
+ * const document3 = { pageContent: "i will be deleted :(", metadata: {} };
+ *
+ * const documents: Document[] = [document1, document2, document3];
+ * const ids = ["1", "2", "3"];
+ * await vectorStore.addDocuments(documents, { ids });
+ * ```
+ * </details>
+ *
+ * <br />
+ *
+ * <details>
+ * <summary><strong>Delete documents</strong></summary>
+ *
+ * ```typescript
+ * await vectorStore.delete({ ids: ["3"] });
+ * ```
+ * </details>
+ *
+ * <br />
+ *
+ * <details>
+ * <summary><strong>Similarity search</strong></summary>
+ *
+ * ```typescript
+ * const results = await vectorStore.similaritySearch("thud", 1);
+ * for (const doc of results) {
+ *   console.log(`* ${doc.pageContent} [${JSON.stringify(doc.metadata, null)}]`);
+ * }
+ * // Output: * thud [{"baz":"bar"}]
+ * ```
+ * </details>
+ *
+ * <br />
+ *
+ *
+ * <details>
+ * <summary><strong>Similarity search with filter</strong></summary>
+ *
+ * ```typescript
+ * const resultsWithFilter = await vectorStore.similaritySearch("thud", 1, { baz: "bar" });
+ *
+ * for (const doc of resultsWithFilter) {
+ *   console.log(`* ${doc.pageContent} [${JSON.stringify(doc.metadata, null)}]`);
+ * }
+ * // Output: * foo [{"baz":"bar"}]
+ * ```
+ * </details>
+ *
+ * <br />
+ *
+ *
+ * <details>
+ * <summary><strong>Similarity search with score</strong></summary>
+ *
+ * ```typescript
+ * const resultsWithScore = await vectorStore.similaritySearchWithScore("qux", 1);
+ * for (const [doc, score] of resultsWithScore) {
+ *   console.log(`* [SIM=${score.toFixed(6)}] ${doc.pageContent} [${JSON.stringify(doc.metadata, null)}]`);
+ * }
+ * // Output: * [SIM=0.000000] qux [{"bar":"baz","baz":"bar"}]
+ * ```
+ * </details>
+ *
+ * <br />
+ *
+ * <details>
+ * <summary><strong>As a retriever</strong></summary>
+ *
+ * ```typescript
+ * const retriever = vectorStore.asRetriever({
+ *   searchType: "mmr", // Leave blank for standard similarity search
+ *   k: 1,
+ * });
+ * const resultAsRetriever = await retriever.invoke("thud");
+ * console.log(resultAsRetriever);
+ *
+ * // Output: [Document({ metadata: { "baz":"bar" }, pageContent: "thud" })]
+ * ```
+ * </details>
+ *
+ * <br />
  */
 export class SupabaseVectorStore extends VectorStore {
   declare FilterType: SupabaseMetadata | SupabaseFilterRPCCall;
diff --git a/libs/langchain-exa/src/tools.ts b/libs/langchain-exa/src/tools.ts
index 6bf52ad64ede..285ea7f66d0b 100644
--- a/libs/langchain-exa/src/tools.ts
+++ b/libs/langchain-exa/src/tools.ts
@@ -13,7 +13,75 @@ export type ExaSearchRetrieverFields<
 };
 
 /**
- * Tool for the Exa search API.
+ * Exa search tool integration.
+ *
+ * Setup:
+ * Install `@langchain/exa` and `exa-js`. You'll also need an API key.
+ *
+ * ```bash
+ * npm install @langchain/exa exa-js
+ * ```
+ *
+ * ## [Constructor args](https://api.js.langchain.com/classes/_langchain_exa.ExaSearchResults.html#constructor)
+ *
+ * <details open>
+ * <summary><strong>Instantiate</strong></summary>
+ *
+ * ```typescript
+ * import { ExaSearchResults } from "@langchain/exa";
+ * import Exa from "exa-js";
+ *
+ * const client = new Exa(process.env.EXASEARCH_API_KEY);
+ *
+ * const tool = new ExaSearchResults({
+ *   client,
+ *   searchArgs: {
+ *     numResults: 2,
+ *   },
+ * });
+ * ```
+ * </details>
+ *
+ * <br />
+ *
+ * <details>
+ *
+ * <summary><strong>Invocation</strong></summary>
+ *
+ * ```typescript
+ * await tool.invoke("what is the current weather in sf?");
+ * ```
+ * </details>
+ *
+ * <br />
+ *
+ * <details>
+ *
+ * <summary><strong>Invocation with tool call</strong></summary>
+ *
+ * ```typescript
+ * // This is usually generated by a model, but we'll create a tool call directly for demo purposes.
+ * const modelGeneratedToolCall = {
+ *   args: {
+ *     input: "what is the current weather in sf?",
+ *   },
+ *   id: "tool_call_id",
+ *   name: tool.name,
+ *   type: "tool_call",
+ * };
+ * await tool.invoke(modelGeneratedToolCall);
+ * ```
+ *
+ * ```text
+ * ToolMessage {
+ *   "content": "...",
+ *   "name": "exa_search_results_json",
+ *   "additional_kwargs": {},
+ *   "response_metadata": {},
+ *   "tool_call_id": "tool_call_id"
+ * }
+ * ```
+ * </details>
  */
 export class ExaSearchResults<
   T extends ContentsOptions = { text: true }
diff --git a/libs/langchain-pinecone/src/vectorstores.ts b/libs/langchain-pinecone/src/vectorstores.ts
index b9e3be201326..3a99dbceb057 100644
--- a/libs/langchain-pinecone/src/vectorstores.ts
+++ b/libs/langchain-pinecone/src/vectorstores.ts
@@ -64,8 +64,137 @@ export type PineconeDeleteParams = {
 };
 
 /**
- * Class for managing and operating vector search applications with
- * Pinecone, the cloud-native high-scale vector database
+ * Pinecone vector store integration.
+ *
+ * Setup:
+ * Install `@langchain/pinecone` and `@pinecone-database/pinecone` to pass a client in.
+ *
+ * ```bash
+ * npm install @langchain/pinecone @pinecone-database/pinecone
+ * ```
+ *
+ * ## [Constructor args](https://api.js.langchain.com/classes/_langchain_pinecone.PineconeStore.html#constructor)
+ *
+ * <details open>
+ * <summary><strong>Instantiate</strong></summary>
+ *
+ * ```typescript
+ * import { PineconeStore } from '@langchain/pinecone';
+ * // Or other embeddings
+ * import { OpenAIEmbeddings } from '@langchain/openai';
+ *
+ * import { Pinecone as PineconeClient } from "@pinecone-database/pinecone";
+ *
+ * const pinecone = new PineconeClient();
+ *
+ * // Will automatically read the PINECONE_API_KEY and PINECONE_ENVIRONMENT env vars
+ * const pineconeIndex = pinecone.Index(process.env.PINECONE_INDEX!);
+ *
+ * const embeddings = new OpenAIEmbeddings({
+ *   model: "text-embedding-3-small",
+ * });
+ *
+ * const vectorStore = await PineconeStore.fromExistingIndex(embeddings, {
+ *   pineconeIndex,
+ *   // Maximum number of batch requests to allow at once. Each batch is 1000 vectors.
+ *   maxConcurrency: 5,
+ *   // You can pass a namespace here too
+ *   // namespace: "foo",
+ * });
+ * ```
+ * </details>
+ *
+ * <br />
+ *
+ * <details>
+ * <summary><strong>Add documents</strong></summary>
+ *
+ * ```typescript
+ * import type { Document } from '@langchain/core/documents';
+ *
+ * const document1 = { pageContent: "foo", metadata: { baz: "bar" } };
+ * const document2 = { pageContent: "thud", metadata: { bar: "baz" } };
+ * const document3 = { pageContent: "i will be deleted :(", metadata: {} };
+ *
+ * const documents: Document[] = [document1, document2, document3];
+ * const ids = ["1", "2", "3"];
+ * await vectorStore.addDocuments(documents, { ids });
+ * ```
+ * </details>
+ *
+ * <br />
+ *
+ * <details>
+ * <summary><strong>Delete documents</strong></summary>
+ *
+ * ```typescript
+ * await vectorStore.delete({ ids: ["3"] });
+ * ```
+ * </details>
+ *
+ * <br />
+ *
+ * <details>
+ * <summary><strong>Similarity search</strong></summary>
+ *
+ * ```typescript
+ * const results = await vectorStore.similaritySearch("thud", 1);
+ * for (const doc of results) {
+ *   console.log(`* ${doc.pageContent} [${JSON.stringify(doc.metadata, null)}]`);
+ * }
+ * // Output: * thud [{"baz":"bar"}]
+ * ```
+ * </details>
+ *
+ * <br />
+ *
+ *
+ * <details>
+ * <summary><strong>Similarity search with filter</strong></summary>
+ *
+ * ```typescript
+ * const resultsWithFilter = await vectorStore.similaritySearch("thud", 1, { baz: "bar" });
+ *
+ * for (const doc of resultsWithFilter) {
+ *   console.log(`* ${doc.pageContent} [${JSON.stringify(doc.metadata, null)}]`);
+ * }
+ * // Output: * foo [{"baz":"bar"}]
+ * ```
+ * </details>
+ *
+ * <br />
+ *
+ *
+ * <details>
+ * <summary><strong>Similarity search with score</strong></summary>
+ *
+ * ```typescript
+ * const resultsWithScore = await vectorStore.similaritySearchWithScore("qux", 1);
+ * for (const [doc, score] of resultsWithScore) {
+ *   console.log(`* [SIM=${score.toFixed(6)}] ${doc.pageContent} [${JSON.stringify(doc.metadata, null)}]`);
+ * }
+ * // Output: * [SIM=0.000000] qux [{"bar":"baz","baz":"bar"}]
+ * ```
+ * </details>
+ *
+ * <br />
+ *
+ * <details>
+ * <summary><strong>As a retriever</strong></summary>
+ *
+ * ```typescript
+ * const retriever = vectorStore.asRetriever({
+ *   searchType: "mmr", // Leave blank for standard similarity search
+ *   k: 1,
+ * });
+ * const resultAsRetriever = await retriever.invoke("thud");
+ * console.log(resultAsRetriever);
+ *
+ * // Output: [Document({ metadata: { "baz":"bar" }, pageContent: "thud" })]
+ * ```
+ * </details>
+ *
+ * <br />
  */
 export class PineconeStore extends VectorStore {
   declare FilterType: PineconeMetadata;

From 51a4c2c35dc827b30e4f8667c51a915167868a0e Mon Sep 17 00:00:00 2001
From: Erick Friis <erick@langchain.dev>
Date: Wed, 14 Aug 2024 06:01:21 -0700
Subject: [PATCH 021/344] docs: index pages and sidebars (#6522)

* docs: index pages and sidebars [wip]

* x

* x

* Fix sidebars for doc loaders, remove deprecated docs, polish

* Update index pages with custom guide links

---------

Co-authored-by: jacoblee93 <jacoblee93@gmail.com>
---
 docs/core_docs/.gitignore                     |  21 +-
 docs/core_docs/docs/concepts.mdx              |   8 +-
 .../docs/integrations/chat/azure.ipynb        |   2 +-
 .../docs/integrations/chat/index.mdx          |  66 +-
 .../document_loaders/file_loaders/index.mdx   |  10 +-
 .../integrations/document_loaders/index.mdx   |  18 +
 .../document_loaders/web_loaders/index.mdx    |  12 +-
 .../docs/integrations/llms/index.mdx          |  49 +-
 .../retrievers/chatgpt-retriever-plugin.mdx   |   1 +
 .../docs/integrations/retrievers/index.mdx    |  27 +
 .../docs/integrations/stores/index.mdx        |   6 +-
 .../text_embedding/google_generativeai.ipynb  |   2 -
 .../integrations/text_embedding/index.mdx     |  14 +
 .../docs/integrations/toolkits/index.mdx      |  14 +
 .../docs/integrations/tools/index.mdx         |  20 +
 .../docs/integrations/vectorstores/index.mdx  |  14 +
 docs/core_docs/sidebars.js                    | 252 +++---
 docs/core_docs/src/theme/FeatureTables.js     | 832 ++++++++++++++++++
 18 files changed, 1171 insertions(+), 197 deletions(-)
 create mode 100644 docs/core_docs/docs/integrations/document_loaders/index.mdx
 create mode 100644 docs/core_docs/docs/integrations/retrievers/index.mdx
 create mode 100644 docs/core_docs/docs/integrations/text_embedding/index.mdx
 create mode 100644 docs/core_docs/docs/integrations/toolkits/index.mdx
 create mode 100644 docs/core_docs/docs/integrations/tools/index.mdx
 create mode 100644 docs/core_docs/docs/integrations/vectorstores/index.mdx
 create mode 100644 docs/core_docs/src/theme/FeatureTables.js

diff --git a/docs/core_docs/.gitignore b/docs/core_docs/.gitignore
index b1e7aab4a4a5..c2737d8dfe94 100644
--- a/docs/core_docs/.gitignore
+++ b/docs/core_docs/.gitignore
@@ -348,17 +348,6 @@ docs/integrations/retrievers/self_query/hnswlib.md
 docs/integrations/retrievers/self_query/hnswlib.mdx
 docs/integrations/retrievers/self_query/chroma.md
 docs/integrations/retrievers/self_query/chroma.mdx
-docs/integrations/document_loaders/file_loaders/unstructured.md
-docs/integrations/document_loaders/file_loaders/unstructured.mdx
-docs/integrations/document_loaders/file_loaders/text.md
-docs/integrations/document_loaders/file_loaders/text.mdx
-docs/integrations/document_loaders/file_loaders/pdf.md
-docs/integrations/document_loaders/file_loaders/pdf.mdx
-docs/integrations/document_loaders/file_loaders/directory.md
-docs/integrations/document_loaders/file_loaders/directory.mdx
-docs/integrations/document_loaders/file_loaders/csv.md
-docs/integrations/document_loaders/file_loaders/csv.mdx
-.vercel
 docs/integrations/document_loaders/web_loaders/web_puppeteer.md
 docs/integrations/document_loaders/web_loaders/web_puppeteer.mdx
 docs/integrations/document_loaders/web_loaders/web_cheerio.md
@@ -369,3 +358,13 @@ docs/integrations/document_loaders/web_loaders/pdf.md
 docs/integrations/document_loaders/web_loaders/pdf.mdx
 docs/integrations/document_loaders/web_loaders/firecrawl.md
 docs/integrations/document_loaders/web_loaders/firecrawl.mdx
+docs/integrations/document_loaders/file_loaders/unstructured.md
+docs/integrations/document_loaders/file_loaders/unstructured.mdx
+docs/integrations/document_loaders/file_loaders/text.md
+docs/integrations/document_loaders/file_loaders/text.mdx
+docs/integrations/document_loaders/file_loaders/pdf.md
+docs/integrations/document_loaders/file_loaders/pdf.mdx
+docs/integrations/document_loaders/file_loaders/directory.md
+docs/integrations/document_loaders/file_loaders/directory.mdx
+docs/integrations/document_loaders/file_loaders/csv.md
+docs/integrations/document_loaders/file_loaders/csv.mdx
\ No newline at end of file
diff --git a/docs/core_docs/docs/concepts.mdx b/docs/core_docs/docs/concepts.mdx
index 5a42901e8a08..f363cf44fd46 100644
--- a/docs/core_docs/docs/concepts.mdx
+++ b/docs/core_docs/docs/concepts.mdx
@@ -22,7 +22,7 @@ import useBaseUrl from "@docusaurus/useBaseUrl";
 ### `@langchain/core`
 
 This package contains base abstractions of different components and ways to compose them together.
-The interfaces for core components like LLMs, vectorstores, retrievers and more are defined here.
+The interfaces for core components like LLMs, vector stores, retrievers and more are defined here.
 No third party integrations are defined here.
 The dependencies are kept purposefully very lightweight.
 
@@ -30,7 +30,7 @@ The dependencies are kept purposefully very lightweight.
 
 This package contains third party integrations that are maintained by the LangChain community.
 Key partner packages are separated out (see below).
-This contains all integrations for various components (LLMs, vectorstores, retrievers).
+This contains all integrations for various components (LLMs, vector stores, retrievers).
 All dependencies in this package are optional to keep the package as lightweight as possible.
 
 ### Partner packages
@@ -143,7 +143,7 @@ Some components LangChain implements, some components we rely on third-party int
 <span data-heading-keywords="chat model,chat models"></span>
 
 Language models that use a sequence of messages as inputs and return chat messages as outputs (as opposed to using plain text).
-These are traditionally newer models (older models are generally `LLMs`, see below).
+These are generally newer models (older models are generally `LLMs`, see below).
 Chat models support the assignment of distinct roles to conversation messages, helping to distinguish messages from the AI, users, and instructions such as system messages.
 
 Although the underlying models are messages in, message out, the LangChain wrappers also allow these models to take a string as input.
@@ -480,7 +480,7 @@ The base Embeddings class in LangChain provides two methods: one for embedding d
 
 For specifics on how to use embedding models, see the [relevant how-to guides here](/docs/how_to/#embedding-models).
 
-### Vectorstores
+### Vector stores {#vectorstore}
 
 <span data-heading-keywords="vector,vectorstore,vectorstores,vector store,vector stores"></span>
 
diff --git a/docs/core_docs/docs/integrations/chat/azure.ipynb b/docs/core_docs/docs/integrations/chat/azure.ipynb
index a4e19b4ddc4c..20bfaf9957d1 100644
--- a/docs/core_docs/docs/integrations/chat/azure.ipynb
+++ b/docs/core_docs/docs/integrations/chat/azure.ipynb
@@ -21,7 +21,7 @@
    "source": [
     "# AzureChatOpenAI\n",
     "\n",
-    "[Azure OpenAI](https://learn.microsoft.com/en-us/azure/ai-services/openai/) is a Microsoft Azure service that provides powerful language models from OpenAI.\n",
+    "Azure OpenAI is a Microsoft Azure service that provides powerful language models from OpenAI.\n",
     "\n",
     "This will help you getting started with AzureChatOpenAI [chat models](/docs/concepts/#chat-models). For detailed documentation of all AzureChatOpenAI features and configurations head to the [API reference](https://api.js.langchain.com/classes/langchain_openai.AzureChatOpenAI.html).\n",
     "\n",
diff --git a/docs/core_docs/docs/integrations/chat/index.mdx b/docs/core_docs/docs/integrations/chat/index.mdx
index 23c81a22933c..0b4fa43125a5 100644
--- a/docs/core_docs/docs/integrations/chat/index.mdx
+++ b/docs/core_docs/docs/integrations/chat/index.mdx
@@ -6,40 +6,32 @@ hide_table_of_contents: true
 
 # Chat models
 
-## Features (natively supported)
-
-All ChatModels implement the Runnable interface, which comes with default implementations of all methods, ie. `invoke`, `batch`, `stream`. This gives all ChatModels basic support for invoking, streaming and batching, which by default is implemented as below:
-
-- _Streaming_ support defaults to returning an `AsyncIterator` of a single value, the final result returned by the underlying ChatModel provider. This obviously doesn't give you token-by-token streaming, which requires native support from the ChatModel provider, but ensures your code that expects an iterator of tokens can work for any of our ChatModel integrations.
-- _Batch_ support defaults to calling the underlying ChatModel in parallel for each input. The concurrency can be controlled with the `maxConcurrency` key in `RunnableConfig`.
-
-Each ChatModel integration can optionally provide native implementations to truly enable invoke, streaming or batching requests.
-
-Additionally, some chat models support additional ways of guaranteeing structure in their outputs by allowing you to pass in a defined schema.
-[Tool calling](/docs/how_to/tool_calling) (tool calling) is one capability, and allows you to use the chat model as the LLM in certain types of agents.
-Some models in LangChain have also implemented a `withStructuredOutput()` method that unifies many of these different ways of constraining output to a schema.
-
-The table shows, for each integration, which features have been implemented with native support. Yellow circles (🟡) indicates partial support - for example, if the model supports tool calling but not tool messages for agents.
-
-| Model                   | Stream | JSON mode | [Tool Calling](/docs/how_to/tool_calling/) | [`withStructuredOutput()`](/docs/how_to/structured_output/#the-.withstructuredoutput-method) | [Multimodal](/docs/how_to/multimodal_inputs/) |
-| :---------------------- | :----: | :-------: | :----------------------------------------: | :------------------------------------------------------------------------------------------: | :-------------------------------------------: |
-| BedrockChat             |   ✅   |    ❌     |        🟡 (Bedrock Anthropic only)         |                                 🟡 (Bedrock Anthropic only)                                  |          🟡 (Bedrock Anthropic only)          |
-| ChatBedrockConverse     |   ✅   |    ❌     |                     ✅                     |                                              ✅                                              |                      ✅                       |
-| ChatAlibabaTongyi       |   ❌   |    ❌     |                     ❌                     |                                              ❌                                              |                      ❌                       |
-| ChatAnthropic           |   ✅   |    ❌     |                     ✅                     |                                              ✅                                              |                      ✅                       |
-| ChatBaiduWenxin         |   ❌   |    ❌     |                     ❌                     |                                              ❌                                              |                      ❌                       |
-| ChatCloudflareWorkersAI |   ✅   |    ❌     |                     ❌                     |                                              ❌                                              |                      ❌                       |
-| ChatCohere              |   ✅   |    ❌     |                     ✅                     |                                              ✅                                              |                      ✅                       |
-| ChatFireworks           |   ✅   |    ✅     |                     ✅                     |                                              ✅                                              |                      ✅                       |
-| ChatGoogleGenerativeAI  |   ✅   |    ❌     |                     ✅                     |                                              ✅                                              |                      ✅                       |
-| ChatVertexAI            |   ✅   |    ❌     |                     ✅                     |                                              ✅                                              |                      ✅                       |
-| ChatGroq                |   ✅   |    ✅     |                     ✅                     |                                              ✅                                              |                      ✅                       |
-| ChatLlamaCpp            |   ✅   |    ❌     |                     ❌                     |                                              ❌                                              |                      ❌                       |
-| ChatMinimax             |   ❌   |    ❌     |                     ❌                     |                                              ❌                                              |                      ❌                       |
-| ChatMistralAI           |   ❌   |    ✅     |                     ✅                     |                                              ✅                                              |                      ✅                       |
-| ChatOllama              |   ✅   |    ✅     |                     ✅                     |                                              ✅                                              |                      ✅                       |
-| ChatOpenAI              |   ✅   |    ✅     |                     ✅                     |                                              ✅                                              |                      ✅                       |
-| ChatTencentHunyuan      |   ✅   |    ❌     |                     ❌                     |                                              ❌                                              |                      ❌                       |
-| ChatTogetherAI          |   ✅   |    ✅     |                     ✅                     |                                              ✅                                              |                      ✅                       |
-| ChatYandexGPT           |   ❌   |    ❌     |                     ❌                     |                                              ❌                                              |                      ❌                       |
-| ChatZhipuAI             |   ❌   |    ❌     |                     ❌                     |                                              ❌                                              |                      ❌                       |
+[Chat models](/docs/concepts/#chat-models) are language models that use a sequence of [messages](/docs/concepts/#messages) as inputs and return messages as outputs (as opposed to using plain text). These are generally newer models.
+
+:::info
+If you'd like to write your own chat model, see [this how-to](/docs/how_to/custom_chat). If you'd like to contribute an integration, see [Contributing integrations](/docs/contributing).
+:::
+
+## Featured providers
+
+| Model                                                                    | Stream | JSON mode | [Tool Calling](/docs/how_to/tool_calling/) | [`withStructuredOutput()`](/docs/how_to/structured_output/#the-.withstructuredoutput-method) | [Multimodal](/docs/how_to/multimodal_inputs/) |
+| :----------------------------------------------------------------------- | :----: | :-------: | :----------------------------------------: | :------------------------------------------------------------------------------------------: | :-------------------------------------------: |
+| [BedrockChat](/docs/integrations/chat/bedrock/)                          |   ✅   |    ❌     |        🟡 (Bedrock Anthropic only)         |                                 🟡 (Bedrock Anthropic only)                                  |          🟡 (Bedrock Anthropic only)          |
+| [ChatBedrockConverse](/docs/integrations/chat/bedrock_converse/)         |   ✅   |    ❌     |                     ✅                     |                                              ✅                                              |                      ✅                       |
+| [ChatAnthropic](/docs/integrations/chat/anthropic/)                      |   ✅   |    ❌     |                     ✅                     |                                              ✅                                              |                      ✅                       |
+| [ChatCloudflareWorkersAI](/docs/integrations/chat/cloudflare_workersai/) |   ✅   |    ❌     |                     ❌                     |                                              ❌                                              |                      ❌                       |
+| [ChatCohere](/docs/integrations/chat/cohere/)                            |   ✅   |    ❌     |                     ✅                     |                                              ✅                                              |                      ✅                       |
+| [ChatFireworks](/docs/integrations/chat/fireworks/)                      |   ✅   |    ✅     |                     ✅                     |                                              ✅                                              |                      ✅                       |
+| [ChatGoogleGenerativeAI](/docs/integrations/chat/google_generativeai/)   |   ✅   |    ❌     |                     ✅                     |                                              ✅                                              |                      ✅                       |
+| [ChatVertexAI](/docs/integrations/chat/google_vertex_ai/)                |   ✅   |    ❌     |                     ✅                     |                                              ✅                                              |                      ✅                       |
+| [ChatGroq](/docs/integrations/chat/groq/)                                |   ✅   |    ✅     |                     ✅                     |                                              ✅                                              |                      ✅                       |
+| [ChatMistralAI](/docs/integrations/chat/mistral/)                        |   ✅   |    ✅     |                     ✅                     |                                              ✅                                              |                      ✅                       |
+| [ChatOllama](/docs/integrations/chat/ollama/)                            |   ✅   |    ✅     |                     ✅                     |                                              ✅                                              |                      ✅                       |
+| [ChatOpenAI](/docs/integrations/chat/openai/)                            |   ✅   |    ✅     |                     ✅                     |                                              ✅                                              |                      ✅                       |
+| [ChatTogetherAI](/docs/integrations/chat/togetherai/)                    |   ✅   |    ✅     |                     ✅                     |                                              ✅                                              |                      ✅                       |
+
+## All chat models
+
+import { IndexTable } from "@theme/FeatureTables";
+
+<IndexTable />
diff --git a/docs/core_docs/docs/integrations/document_loaders/file_loaders/index.mdx b/docs/core_docs/docs/integrations/document_loaders/file_loaders/index.mdx
index 5eb2b241d08c..8006032b0374 100644
--- a/docs/core_docs/docs/integrations/document_loaders/file_loaders/index.mdx
+++ b/docs/core_docs/docs/integrations/document_loaders/file_loaders/index.mdx
@@ -12,6 +12,12 @@ Only available on Node.js.
 
 These loaders are used to load files given a filesystem path or a Blob object.
 
-import DocCardList from "@theme/DocCardList";
+:::info
+If you'd like to write your own document loader, see [this how-to](/docs/how_to/document_loader_custom/). If you'd like to contribute an integration, see [Contributing integrations](/docs/contributing).
+:::
+
+import { CategoryTable, IndexTable } from "@theme/FeatureTables";
+
+## All document loaders
 
-<DocCardList />
+<IndexTable />
diff --git a/docs/core_docs/docs/integrations/document_loaders/index.mdx b/docs/core_docs/docs/integrations/document_loaders/index.mdx
new file mode 100644
index 000000000000..44770ad5b1ad
--- /dev/null
+++ b/docs/core_docs/docs/integrations/document_loaders/index.mdx
@@ -0,0 +1,18 @@
+---
+sidebar_position: 0
+---
+
+# Document loaders
+
+[Document loaders](/docs/concepts#document-loaders) load data into LangChain's expected format for use-cases such as [retrieval-augmented generation (RAG)](/docs/tutorials/rag).
+
+LangChain.js categorizes document loaders in two different ways:
+
+- [File loaders](/docs/integrations/document_loaders/file_loaders/), which load data into LangChain formats from your local filesystem.
+- [Web loaders](/docs/integrations/document_loaders/web_loaders/), which load data from remote sources.
+
+See the individual pages for more on each category.
+
+:::info
+If you'd like to write your own document loader, see [this how-to](/docs/how_to/document_loader_custom/). If you'd like to contribute an integration, see [Contributing integrations](/docs/contributing).
+:::
diff --git a/docs/core_docs/docs/integrations/document_loaders/web_loaders/index.mdx b/docs/core_docs/docs/integrations/document_loaders/web_loaders/index.mdx
index e86f3f70a99b..e9978359f156 100644
--- a/docs/core_docs/docs/integrations/document_loaders/web_loaders/index.mdx
+++ b/docs/core_docs/docs/integrations/document_loaders/web_loaders/index.mdx
@@ -5,8 +5,14 @@ hide_table_of_contents: true
 
 # Web Loaders
 
-These loaders are used to load web resources.
+These loaders are used to load web resources. They do not involve the local file system.
 
-import DocCardList from "@theme/DocCardList";
+import { CategoryTable, IndexTable } from "@theme/FeatureTables";
 
-<DocCardList />
+:::info
+If you'd like to write your own document loader, see [this how-to](/docs/how_to/document_loader_custom/). If you'd like to contribute an integration, see [Contributing integrations](/docs/contributing).
+:::
+
+## All web loaders
+
+<IndexTable />
diff --git a/docs/core_docs/docs/integrations/llms/index.mdx b/docs/core_docs/docs/integrations/llms/index.mdx
index c12a1441245c..b50ac95938b2 100644
--- a/docs/core_docs/docs/integrations/llms/index.mdx
+++ b/docs/core_docs/docs/integrations/llms/index.mdx
@@ -5,35 +5,20 @@ sidebar_class_name: hidden
 
 # LLMs
 
-<!-- This file is autogenerated. Do not edit directly. -->
-<!-- See `scripts/model-docs.table.js` for details -->
-
-## Features (natively supported)
-
-All LLMs implement the Runnable interface, which comes with default implementations of all methods, ie. `invoke`, `batch`, `stream`, `map`. This gives all LLMs basic support for invoking, streaming, batching and mapping requests, which by default is implemented as below:
-
-- _Streaming_ support defaults to returning an `AsyncIterator` of a single value, the final result returned by the underlying LLM provider. This obviously doesn't give you token-by-token streaming, which requires native support from the LLM provider, but ensures your code that expects an iterator of tokens can work for any of our LLM integrations.
-- _Batch_ support defaults to calling the underlying LLM in parallel for each input. The concurrency can be controlled with the `maxConcurrency` key in `RunnableConfig`.
-- _Map_ support defaults to calling `.invoke` across all instances of the array which it was called on.
-
-Each LLM integration can optionally provide native implementations for invoke, streaming or batch, which, for providers that support it, can be more efficient. The table shows, for each integration, which features have been implemented with native support.
-
-| Model                | Invoke | Stream | Batch |
-| :------------------- | :----: | :----: | :---: |
-| AI21                 |   ✅   |   ❌   |  ✅   |
-| AlephAlpha           |   ✅   |   ❌   |  ✅   |
-| AzureOpenAI          |   ✅   |   ✅   |  ✅   |
-| CloudflareWorkersAI  |   ✅   |   ✅   |  ✅   |
-| Cohere               |   ✅   |   ❌   |  ✅   |
-| Fireworks            |   ✅   |   ✅   |  ✅   |
-| GooglePaLM           |   ✅   |   ❌   |  ✅   |
-| HuggingFaceInference |   ✅   |   ❌   |  ✅   |
-| LlamaCpp             |   ✅   |   ✅   |  ✅   |
-| Ollama               |   ✅   |   ✅   |  ✅   |
-| OpenAI               |   ✅   |   ✅   |  ✅   |
-| OpenAIChat           |   ✅   |   ✅   |  ✅   |
-| Portkey              |   ✅   |   ✅   |  ✅   |
-| Replicate            |   ✅   |   ❌   |  ✅   |
-| SageMakerEndpoint    |   ✅   |   ✅   |  ✅   |
-| Writer               |   ✅   |   ❌   |  ✅   |
-| YandexGPT            |   ✅   |   ❌   |  ✅   |
+:::caution
+You are currently on a page documenting the use of [text completion models](/docs/concepts/#llms). Many of the latest and most popular models are [chat completion models](/docs/concepts/#chat-models).
+
+Unless you are specifically using more advanced prompting techniques, you are probably looking for [this page instead](/docs/integrations/chat/).
+:::
+
+[LLMs](docs/concepts/#llms) are Language models that takes a string as input and returns a string. These are generally older models (newer models generally are chat models, see above).
+
+:::info
+If you'd like to write your own LLM, see [this how-to](/docs/how_to/custom_llm). If you'd like to contribute an integration, see [Contributing integrations](/docs/contributing).
+:::
+
+## All LLMs
+
+import { IndexTable } from "@theme/FeatureTables";
+
+<IndexTable />
diff --git a/docs/core_docs/docs/integrations/retrievers/chatgpt-retriever-plugin.mdx b/docs/core_docs/docs/integrations/retrievers/chatgpt-retriever-plugin.mdx
index 42a535462bdd..e9766ddbe0eb 100644
--- a/docs/core_docs/docs/integrations/retrievers/chatgpt-retriever-plugin.mdx
+++ b/docs/core_docs/docs/integrations/retrievers/chatgpt-retriever-plugin.mdx
@@ -1,5 +1,6 @@
 ---
 hide_table_of_contents: true
+sidebar_class_name: hidden
 ---
 
 # ChatGPT Plugin Retriever
diff --git a/docs/core_docs/docs/integrations/retrievers/index.mdx b/docs/core_docs/docs/integrations/retrievers/index.mdx
new file mode 100644
index 000000000000..72fd489c13ae
--- /dev/null
+++ b/docs/core_docs/docs/integrations/retrievers/index.mdx
@@ -0,0 +1,27 @@
+---
+sidebar_position: 0
+sidebar_class_name: hidden
+---
+
+import { CategoryTable, IndexTable } from "@theme/FeatureTables";
+
+# Retrievers
+
+A [retriever](/docs/concepts/#retrievers) is an interface that returns documents given an unstructured query.
+It is more general than a vector store.
+A retriever does not need to be able to store documents, only to return (or retrieve) them.
+
+Retrievers accept a string query as input and return a list of Documents.
+
+For specifics on how to use retrievers, see the [relevant how-to guides here](/docs/how_to/#retrievers).
+
+Note that all [vector stores](/docs/concepts/#vectorstores) can be [cast to retrievers](/docs/how_to/vectorstore_retriever/).
+Refer to the vector store [integration docs](/docs/integrations/vectorstores/) for available vector store retrievers.
+
+:::info
+If you'd like to write your own retriever, see [this how-to](/docs/how_to/custom_retriever/). If you'd like to contribute an integration, see [Contributing integrations](/docs/contributing).
+:::
+
+## All retrievers
+
+<IndexTable />
diff --git a/docs/core_docs/docs/integrations/stores/index.mdx b/docs/core_docs/docs/integrations/stores/index.mdx
index 60dbfd7414d8..c5782bb1c919 100644
--- a/docs/core_docs/docs/integrations/stores/index.mdx
+++ b/docs/core_docs/docs/integrations/stores/index.mdx
@@ -4,8 +4,10 @@ sidebar_class_name: hidden
 
 # Key-value stores
 
+import { CategoryTable, IndexTable } from "@theme/FeatureTables";
+
 [Key-value stores](/docs/concepts/#key-value-stores) are used by other LangChain components to store and retrieve data.
 
-import DocCardList from "@theme/DocCardList";
+## All key-value stores
 
-<DocCardList />
+<IndexTable />
diff --git a/docs/core_docs/docs/integrations/text_embedding/google_generativeai.ipynb b/docs/core_docs/docs/integrations/text_embedding/google_generativeai.ipynb
index 038614cfe1ff..d1a8e0069711 100644
--- a/docs/core_docs/docs/integrations/text_embedding/google_generativeai.ipynb
+++ b/docs/core_docs/docs/integrations/text_embedding/google_generativeai.ipynb
@@ -21,8 +21,6 @@
    "source": [
     "# GoogleGenerativeAIEmbeddings\n",
     "\n",
-    "- [ ] TODO: Make sure API reference link is correct\n",
-    "\n",
     "This will help you get started with Google Generative AI [embedding models](/docs/concepts#embedding-models) using LangChain. For detailed documentation on `GoogleGenerativeAIEmbeddings` features and configuration options, please refer to the [API reference](https://api.js.langchain.com/classes/langchain_google_genai.GoogleGenerativeAIEmbeddings.html).\n",
     "\n",
     "## Overview\n",
diff --git a/docs/core_docs/docs/integrations/text_embedding/index.mdx b/docs/core_docs/docs/integrations/text_embedding/index.mdx
new file mode 100644
index 000000000000..2e5b612041aa
--- /dev/null
+++ b/docs/core_docs/docs/integrations/text_embedding/index.mdx
@@ -0,0 +1,14 @@
+---
+sidebar_position: 0
+sidebar_class_name: hidden
+---
+
+# Embeddings
+
+[Embedding models](/docs/concepts#embedding-models) create a vector representation of a piece of text.
+
+This page documents integrations with various model providers that allow you to use embeddings in LangChain.
+
+import { CategoryTable, IndexTable } from "@theme/FeatureTables";
+
+<IndexTable />
diff --git a/docs/core_docs/docs/integrations/toolkits/index.mdx b/docs/core_docs/docs/integrations/toolkits/index.mdx
new file mode 100644
index 000000000000..c80d2816b3ff
--- /dev/null
+++ b/docs/core_docs/docs/integrations/toolkits/index.mdx
@@ -0,0 +1,14 @@
+---
+sidebar_position: 0
+sidebar_class_name: hidden
+---
+
+# Toolkits
+
+import { CategoryTable, IndexTable } from "@theme/FeatureTables";
+
+Also see [Tools page](/docs/integrations/tools/).
+
+## All Toolkits
+
+<IndexTable />
diff --git a/docs/core_docs/docs/integrations/tools/index.mdx b/docs/core_docs/docs/integrations/tools/index.mdx
new file mode 100644
index 000000000000..b1ea32d458b2
--- /dev/null
+++ b/docs/core_docs/docs/integrations/tools/index.mdx
@@ -0,0 +1,20 @@
+---
+sidebar_position: 0
+sidebar_class_name: hidden
+---
+
+# Tools and Toolkits
+
+import { CategoryTable, IndexTable } from "@theme/FeatureTables";
+
+[Tools](/docs/concepts/#tools) are utilities designed to be called by a model: their inputs are designed to be generated by models, and their outputs are designed to be passed back to models.
+
+A [toolkit](/docs/concepts#toolkits) is a collection of tools meant to be used together. For a list of toolkit integrations, see [this page](/docs/integrations/toolkits/).
+
+:::info
+If you'd like to write your own tool, see [this how-to](/docs/how_to/custom_tools/). If you'd like to contribute an integration, see [Contributing integrations](/docs/contributing).
+:::
+
+## All Tools
+
+<IndexTable />
diff --git a/docs/core_docs/docs/integrations/vectorstores/index.mdx b/docs/core_docs/docs/integrations/vectorstores/index.mdx
new file mode 100644
index 000000000000..a335c0aa3cbb
--- /dev/null
+++ b/docs/core_docs/docs/integrations/vectorstores/index.mdx
@@ -0,0 +1,14 @@
+---
+sidebar_position: 0
+sidebar_class_name: hidden
+---
+
+# Vector stores
+
+A [vector store](/docs/concepts/#vectorstores) stores [embedded](/docs/concepts/#embedding-models) data and performing similarity search.
+
+LangChain.js integrates with a variety of vector stores. You can check out a full list below:
+
+import { CategoryTable, IndexTable } from "@theme/FeatureTables";
+
+<IndexTable />
diff --git a/docs/core_docs/sidebars.js b/docs/core_docs/sidebars.js
index 0f2dc6dbc4f6..e4297b057712 100644
--- a/docs/core_docs/sidebars.js
+++ b/docs/core_docs/sidebars.js
@@ -119,11 +119,12 @@ module.exports = {
         {
           type: "category",
           label: "Chat models",
-          collapsed: true,
+          collapsible: false,
           items: [
             {
               type: "autogenerated",
               dirName: "integrations/chat",
+              className: "hidden",
             },
           ],
           link: {
@@ -134,11 +135,12 @@ module.exports = {
         {
           type: "category",
           label: "LLMs",
-          collapsed: true,
+          collapsible: false,
           items: [
             {
               type: "autogenerated",
               dirName: "integrations/llms",
+              className: "hidden",
             },
           ],
           link: {
@@ -149,16 +151,17 @@ module.exports = {
         {
           type: "category",
           label: "Embedding models",
-          collapsed: true,
+          collapsible: false,
           items: [
             {
               type: "autogenerated",
               dirName: "integrations/text_embedding",
+              className: "hidden",
             },
           ],
           link: {
-            type: "generated-index",
-            slug: "integrations/text_embedding",
+            type: "doc",
+            id: "integrations/text_embedding/index",
           },
         },
         {
@@ -167,183 +170,226 @@ module.exports = {
           collapsed: true,
           items: [
             {
-              type: "autogenerated",
-              dirName: "integrations/document_loaders",
+              type: "category",
+              label: "File loaders",
+              collapsible: false,
+              items: [
+                {
+                  type: "autogenerated",
+                  dirName: "integrations/document_loaders/file_loaders",
+                  className: "hidden",
+                },
+              ],
+              link: {
+                type: "doc",
+                id: "integrations/document_loaders/file_loaders/index",
+              },
             },
-          ],
-          link: {
-            type: "generated-index",
-            slug: "integrations/document_loaders",
-          },
-        },
-        {
-          type: "category",
-          label: "Document transformers",
-          collapsed: true,
-          items: [
             {
-              type: "autogenerated",
-              dirName: "integrations/document_transformers",
-            },
-            {
-              type: "autogenerated",
-              dirName: "integrations/document_compressors",
+              type: "category",
+              label: "Web loaders",
+              collapsible: false,
+              items: [
+                {
+                  type: "autogenerated",
+                  dirName: "integrations/document_loaders/web_loaders",
+                  className: "hidden",
+                },
+              ],
+              link: {
+                type: "doc",
+                id: "integrations/document_loaders/web_loaders/index",
+              },
             },
           ],
           link: {
-            type: "generated-index",
-            slug: "integrations/document_transformers",
+            type: "doc",
+            id: "integrations/document_loaders/index",
           },
         },
         {
           type: "category",
           label: "Vector stores",
-          collapsed: true,
+          collapsible: false,
           items: [
             {
               type: "autogenerated",
               dirName: "integrations/vectorstores",
+              className: "hidden",
             },
           ],
           link: {
-            type: "generated-index",
-            slug: "integrations/vectorstores",
+            type: "doc",
+            id: "integrations/vectorstores/index",
           },
         },
         {
           type: "category",
           label: "Retrievers",
-          collapsed: true,
+          collapsible: false,
           items: [
             {
               type: "autogenerated",
               dirName: "integrations/retrievers",
+              className: "hidden",
             },
           ],
           link: {
-            type: "generated-index",
-            slug: "integrations/retrievers",
+            type: "doc",
+            id: "integrations/retrievers/index",
           },
         },
         {
           type: "category",
-          label: "Tools",
-          collapsed: true,
+          label: "Tools/Toolkits",
+          collapsible: false,
           items: [
             {
               type: "autogenerated",
               dirName: "integrations/tools",
+              className: "hidden",
             },
           ],
           link: {
-            type: "generated-index",
-            slug: "integrations/tools",
+            type: "doc",
+            id: "integrations/tools/index",
           },
         },
         {
           type: "category",
           label: "Toolkits",
-          collapsed: true,
+          collapsible: false,
+          className: "hidden",
           items: [
             {
               type: "autogenerated",
               dirName: "integrations/toolkits",
+              className: "hidden",
             },
           ],
           link: {
-            type: "generated-index",
-            slug: "integrations/toolkits",
+            type: "doc",
+            id: "integrations/tools/index",
           },
         },
         {
           type: "category",
-          label: "Memory",
-          collapsed: true,
+          label: "Key-value stores",
+          collapsible: false,
           items: [
             {
               type: "autogenerated",
-              dirName: "integrations/memory",
+              dirName: "integrations/stores",
+              className: "hidden",
             },
           ],
           link: {
-            type: "generated-index",
-            slug: "integrations/memory",
+            type: "doc",
+            id: "integrations/stores/index",
           },
         },
         {
           type: "category",
-          label: "Graphs",
+          label: "Other",
           collapsed: true,
           items: [
             {
-              type: "autogenerated",
-              dirName: "integrations/graphs",
+              type: "category",
+              label: "Document transformers",
+              collapsible: false,
+              items: [
+                {
+                  type: "autogenerated",
+                  dirName: "integrations/document_transformers",
+                  className: "hidden",
+                },
+              ],
+              link: {
+                type: "generated-index",
+                slug: "integrations/document_transformers",
+              },
             },
-          ],
-          link: {
-            type: "generated-index",
-            slug: "integrations/graphs",
-          },
-        },
-        {
-          type: "category",
-          label: "Callbacks",
-          collapsed: true,
-          items: [
             {
-              type: "autogenerated",
-              dirName: "integrations/callbacks",
+              type: "category",
+              label: "Graphs",
+              collapsible: false,
+              items: [
+                {
+                  type: "autogenerated",
+                  dirName: "integrations/graphs",
+                  className: "hidden",
+                },
+              ],
+              link: {
+                type: "generated-index",
+                slug: "integrations/graphs",
+              },
             },
-          ],
-          link: {
-            type: "generated-index",
-            slug: "integrations/callbacks",
-          },
-        },
-        {
-          type: "category",
-          label: "Chat loaders",
-          collapsed: true,
-          items: [
             {
-              type: "autogenerated",
-              dirName: "integrations/chat_loaders",
+              type: "category",
+              label: "Memory",
+              collapsible: false,
+              items: [
+                {
+                  type: "autogenerated",
+                  dirName: "integrations/memory",
+                  className: "hidden",
+                },
+              ],
+              link: {
+                type: "generated-index",
+                slug: "integrations/memory",
+              },
             },
-          ],
-          link: {
-            type: "generated-index",
-            slug: "integrations/chat_loaders",
-          },
-        },
-        {
-          type: "category",
-          label: "Adapters",
-          collapsed: true,
-          items: [
             {
-              type: "autogenerated",
-              dirName: "integrations/adapters",
+              type: "category",
+              label: "Callbacks",
+              collapsible: false,
+              items: [
+                {
+                  type: "autogenerated",
+                  dirName: "integrations/callbacks",
+                  className: "hidden",
+                },
+              ],
+              link: {
+                type: "generated-index",
+                slug: "integrations/callbacks",
+              },
             },
-          ],
-          link: {
-            type: "generated-index",
-            slug: "integrations/adapters",
-          },
-        },
-        {
-          type: "category",
-          label: "Key-value stores",
-          collapsed: true,
-          items: [
             {
-              type: "autogenerated",
-              dirName: "integrations/stores",
+              type: "category",
+              label: "Chat loaders",
+              collapsible: false,
+              items: [
+                {
+                  type: "autogenerated",
+                  dirName: "integrations/chat_loaders",
+                  className: "hidden",
+                },
+              ],
+              link: {
+                type: "generated-index",
+                slug: "integrations/chat_loaders",
+              },
+            },
+            {
+              type: "category",
+              label: "Adapters",
+              collapsible: false,
+              items: [
+                {
+                  type: "autogenerated",
+                  dirName: "integrations/adapters",
+                  className: "hidden",
+                },
+              ],
+              link: {
+                type: "generated-index",
+                slug: "integrations/adapters",
+              },
             },
           ],
-          link: {
-            type: "doc",
-            id: "integrations/stores/index",
-          },
         },
       ],
       link: {
diff --git a/docs/core_docs/src/theme/FeatureTables.js b/docs/core_docs/src/theme/FeatureTables.js
new file mode 100644
index 000000000000..a1c66228b238
--- /dev/null
+++ b/docs/core_docs/src/theme/FeatureTables.js
@@ -0,0 +1,832 @@
+/* eslint-disable import/no-extraneous-dependencies */
+/* eslint-disable prefer-template */
+import React from "react";
+import { useCurrentSidebarCategory } from "@docusaurus/theme-common";
+import { useDocById } from "@docusaurus/theme-common/internal";
+
+const FEATURE_TABLES = {
+  chat: {
+    link: "/docs/integrations/chat",
+    columns: [
+      {
+        title: "Provider",
+        formatter: (item) => <a href={item.link}>{item.name}</a>,
+      },
+      {
+        title: <a href="/docs/how_to/tool_calling">Tool calling</a>,
+        formatter: (item) => (item.tool_calling ? "✅" : "❌"),
+      },
+      {
+        title: <a href="/docs/how_to/structured_output/">Structured output</a>,
+        formatter: (item) => (item.structured_output ? "✅" : "❌"),
+      },
+      {
+        title: "JSON mode",
+        formatter: (item) => (item.json_mode ? "✅" : "❌"),
+      },
+      { title: "Local", formatter: (item) => (item.local ? "✅" : "❌") },
+      {
+        title: <a href="/docs/how_to/multimodal_inputs/">Multimodal</a>,
+        formatter: (item) => (item.multimodal ? "✅" : "❌"),
+      },
+      {
+        title: "Package",
+        formatter: (item) => <a href={item.apiLink}>{item.package}</a>,
+      },
+    ],
+    items: [
+      {
+        name: "ChatAnthropic",
+        package: "langchain-anthropic",
+        link: "anthropic/",
+        structured_output: true,
+        tool_calling: true,
+        json_mode: false,
+        multimodal: true,
+        local: false,
+        apiLink:
+          "https://api.python.langchain.com/en/latest/chat_models/langchain_anthropic.chat_models.ChatAnthropic.html#langchain_anthropic.chat_models.ChatAnthropic",
+      },
+      {
+        name: "ChatMistralAI",
+        package: "langchain-mistralai",
+        link: "mistralai/",
+        structured_output: true,
+        tool_calling: true,
+        json_mode: false,
+        multimodal: false,
+        local: false,
+        apiLink:
+          "https://api.python.langchain.com/en/latest/chat_models/langchain_mistralai.chat_models.ChatMistralAI.html#langchain_mistralai.chat_models.ChatMistralAI",
+      },
+      {
+        name: "ChatFireworks",
+        package: "langchain-fireworks",
+        link: "fireworks/",
+        structured_output: true,
+        tool_calling: true,
+        json_mode: true,
+        multimodal: false,
+        local: false,
+        apiLink:
+          "https://api.python.langchain.com/en/latest/chat_models/langchain_fireworks.chat_models.ChatFireworks.html#langchain_fireworks.chat_models.ChatFireworks",
+      },
+      {
+        name: "AzureChatOpenAI",
+        package: "langchain-openai",
+        link: "azure_chat_openai/",
+        structured_output: true,
+        tool_calling: true,
+        json_mode: true,
+        multimodal: true,
+        local: false,
+        apiLink:
+          "https://api.python.langchain.com/en/latest/chat_models/langchain_openai.chat_models.azure.AzureChatOpenAI.html#langchain_openai.chat_models.azure.AzureChatOpenAI",
+      },
+      {
+        name: "ChatOpenAI",
+        package: "langchain-openai",
+        link: "openai/",
+        structured_output: true,
+        tool_calling: true,
+        json_mode: true,
+        multimodal: true,
+        local: false,
+        apiLink:
+          "https://api.python.langchain.com/en/latest/chat_models/langchain_openai.chat_models.base.ChatOpenAI.html#langchain_openai.chat_models.base.ChatOpenAI",
+      },
+      {
+        name: "ChatTogether",
+        package: "langchain-together",
+        link: "together/",
+        structured_output: true,
+        tool_calling: true,
+        json_mode: true,
+        multimodal: false,
+        local: false,
+        apiLink:
+          "https://api.python.langchain.com/en/latest/chat_models/langchain_together.chat_models.ChatTogether.html#langchain_together.chat_models.ChatTogether",
+      },
+      {
+        name: "ChatVertexAI",
+        package: "langchain-google-vertexai",
+        link: "google_vertex_ai_palm/",
+        structured_output: true,
+        tool_calling: true,
+        json_mode: false,
+        multimodal: true,
+        local: false,
+        apiLink:
+          "https://api.python.langchain.com/en/latest/chat_models/langchain_google_vertexai.chat_models.ChatVertexAI.html#langchain_google_vertexai.chat_models.ChatVertexAI",
+      },
+      {
+        name: "ChatGoogleGenerativeAI",
+        package: "langchain-google-genai",
+        link: "google_generative_ai/",
+        structured_output: true,
+        tool_calling: true,
+        json_mode: false,
+        multimodal: true,
+        local: false,
+        apiLink:
+          "https://api.python.langchain.com/en/latest/chat_models/langchain_google_genai.chat_models.ChatGoogleGenerativeAI.html#langchain_google_genai.chat_models.ChatGoogleGenerativeAI",
+      },
+      {
+        name: "ChatGroq",
+        package: "langchain-groq",
+        link: "groq/",
+        structured_output: true,
+        tool_calling: true,
+        json_mode: true,
+        multimodal: false,
+        local: false,
+        apiLink:
+          "https://api.python.langchain.com/en/latest/chat_models/langchain_groq.chat_models.ChatGroq.html#langchain_groq.chat_models.ChatGroq",
+      },
+      {
+        name: "ChatCohere",
+        package: "langchain-cohere",
+        link: "cohere/",
+        structured_output: true,
+        tool_calling: true,
+        json_mode: false,
+        multimodal: false,
+        local: false,
+        apiLink:
+          "https://api.python.langchain.com/en/latest/chat_models/langchain_cohere.chat_models.ChatCohere.html#langchain_cohere.chat_models.ChatCohere",
+      },
+      {
+        name: "ChatBedrock",
+        package: "langchain-aws",
+        link: "bedrock/",
+        structured_output: true,
+        tool_calling: true,
+        json_mode: false,
+        multimodal: false,
+        local: false,
+        apiLink:
+          "https://api.python.langchain.com/en/latest/chat_models/langchain_aws.chat_models.bedrock.ChatBedrock.html#langchain_aws.chat_models.bedrock.ChatBedrock",
+      },
+      {
+        name: "ChatHuggingFace",
+        package: "langchain-huggingface",
+        link: "huggingface/",
+        structured_output: true,
+        tool_calling: true,
+        json_mode: false,
+        multimodal: false,
+        local: true,
+        apiLink:
+          "https://api.python.langchain.com/en/latest/chat_models/langchain_huggingface.chat_models.huggingface.ChatHuggingFace.html#langchain_huggingface.chat_models.huggingface.ChatHuggingFace",
+      },
+      {
+        name: "ChatNVIDIA",
+        package: "langchain-nvidia-ai-endpoints",
+        link: "nvidia_ai_endpoints/",
+        structured_output: true,
+        tool_calling: true,
+        json_mode: false,
+        multimodal: false,
+        local: true,
+        apiLink:
+          "https://api.python.langchain.com/en/latest/chat_models/langchain_nvidia_ai_endpoints.chat_models.ChatNVIDIA.html#langchain_nvidia_ai_endpoints.chat_models.ChatNVIDIA",
+      },
+      {
+        name: "ChatOllama",
+        package: "langchain-ollama",
+        link: "ollama/",
+        structured_output: true,
+        tool_calling: true,
+        json_mode: true,
+        multimodal: false,
+        local: true,
+        apiLink:
+          "https://api.python.langchain.com/en/latest/chat_models/langchain_ollama.chat_models.ChatOllama.html#langchain_ollama.chat_models.ChatOllama",
+      },
+      {
+        name: "ChatLlamaCpp",
+        package: "langchain-community",
+        link: "llamacpp",
+        structured_output: true,
+        tool_calling: true,
+        json_mode: false,
+        multimodal: false,
+        local: true,
+        apiLink:
+          "https://api.python.langchain.com/en/latest/chat_models/langchain_community.chat_models.llamacpp.ChatLlamaCpp.html#langchain_community.chat_models.llamacpp.ChatLlamaCpp",
+      },
+      {
+        name: "ChatAI21",
+        package: "langchain-ai21",
+        link: "ai21",
+        structured_output: true,
+        tool_calling: true,
+        json_mode: false,
+        multimodal: false,
+        local: false,
+        apiLink:
+          "https://api.python.langchain.com/en/latest/chat_models/langchain_ai21.chat_models.ChatAI21.html#langchain_ai21.chat_models.ChatAI21",
+      },
+      {
+        name: "ChatUpstage",
+        package: "langchain-upstage",
+        link: "upstage",
+        structured_output: true,
+        tool_calling: true,
+        json_mode: false,
+        multimodal: false,
+        local: false,
+        apiLink:
+          "https://api.python.langchain.com/en/latest/chat_models/langchain_upstage.chat_models.ChatUpstage.html#langchain_upstage.chat_models.ChatUpstage",
+      },
+    ],
+  },
+  llms: {
+    link: "/docs/integrations/llms",
+    columns: [
+      {
+        title: "Provider",
+        formatter: (item) => <a href={item.link}>{item.name}</a>,
+      },
+      {
+        title: "Package",
+        formatter: (item) => <a href={item.apiLink}>{item.package}</a>,
+      },
+    ],
+    items: [
+      {
+        name: "AI21LLM",
+        link: "ai21",
+        package: "langchain-ai21",
+        apiLink:
+          "https://api.python.langchain.com/en/latest/llms/langchain_ai21.llms.AI21LLM.html#langchain_ai21.llms.AI21LLM",
+      },
+      {
+        name: "AnthropicLLM",
+        link: "anthropic",
+        package: "langchain-anthropic",
+        apiLink:
+          "https://api.python.langchain.com/en/latest/llms/langchain_anthropic.llms.AnthropicLLM.html#langchain_anthropic.llms.AnthropicLLM",
+      },
+      {
+        name: "AzureOpenAI",
+        link: "azure_openai",
+        package: "langchain-openai",
+        apiLink:
+          "https://api.python.langchain.com/en/latest/llms/langchain_openai.llms.azure.AzureOpenAI.html#langchain_openai.llms.azure.AzureOpenAI",
+      },
+      {
+        name: "BedrockLLM",
+        link: "bedrock",
+        package: "langchain-aws",
+        apiLink:
+          "https://api.python.langchain.com/en/latest/llms/langchain_aws.llms.bedrock.BedrockLLM.html#langchain_aws.llms.bedrock.BedrockLLM",
+      },
+      {
+        name: "CohereLLM",
+        link: "cohere",
+        package: "langchain-cohere",
+        apiLink:
+          "https://api.python.langchain.com/en/latest/llms/langchain_cohere.llms.Cohere.html#langchain_cohere.llms.Cohere",
+      },
+      {
+        name: "FireworksLLM",
+        link: "fireworks",
+        package: "langchain-fireworks",
+        apiLink:
+          "https://api.python.langchain.com/en/latest/llms/langchain_fireworks.llms.Fireworks.html#langchain_fireworks.llms.Fireworks",
+      },
+      {
+        name: "OllamaLLM",
+        link: "ollama",
+        package: "langchain-ollama",
+        apiLink:
+          "https://api.python.langchain.com/en/latest/llms/langchain_ollama.llms.OllamaLLM.html#langchain_ollama.llms.OllamaLLM",
+      },
+      {
+        name: "OpenAILLM",
+        link: "openai",
+        package: "langchain-openai",
+        apiLink:
+          "https://api.python.langchain.com/en/latest/llms/langchain_openai.llms.base.OpenAI.html#langchain_openai.llms.base.OpenAI",
+      },
+      {
+        name: "TogetherLLM",
+        link: "together",
+        package: "langchain-together",
+        apiLink:
+          "https://api.python.langchain.com/en/latest/llms/langchain_together.llms.Together.html#langchain_together.llms.Together",
+      },
+      {
+        name: "VertexAILLM",
+        link: "google_vertexai",
+        package: "langchain-google_vertexai",
+        apiLink:
+          "https://api.python.langchain.com/en/latest/llms/langchain_google_vertexai.llms.VertexAI.html#langchain_google_vertexai.llms.VertexAI",
+      },
+    ],
+  },
+  text_embedding: {
+    link: "/docs/integrations/text_embedding",
+    columns: [
+      {
+        title: "Provider",
+        formatter: (item) => <a href={item.link}>{item.name}</a>,
+      },
+      {
+        title: "Package",
+        formatter: (item) => <a href={item.apiLink}>{item.package}</a>,
+      },
+    ],
+    items: [
+      {
+        name: "AzureOpenAI",
+        link: "azureopenai",
+        package: "langchain-openai",
+        apiLink:
+          "https://api.python.langchain.com/en/latest/embeddings/langchain_openai.embeddings.azure.AzureOpenAIEmbeddings.html#langchain_openai.embeddings.azure.AzureOpenAIEmbeddings",
+      },
+      {
+        name: "Ollama",
+        link: "ollama",
+        package: "langchain-ollama",
+        apiLink:
+          "https://api.python.langchain.com/en/latest/embeddings/langchain_ollama.embeddings.OllamaEmbeddings.html#langchain_ollama.embeddings.OllamaEmbeddings",
+      },
+      {
+        name: "AI21",
+        link: "ai21",
+        package: "langchain-ai21",
+        apiLink:
+          "https://api.python.langchain.com/en/latest/embeddings/langchain_ai21.embeddings.AI21Embeddings.html#langchain_ai21.embeddings.AI21Embeddings",
+      },
+      {
+        name: "Fake",
+        link: "fake",
+        package: "langchain-core",
+        apiLink:
+          "https://api.python.langchain.com/en/latest/embeddings/langchain_core.embeddings.fake.FakeEmbeddings.html#langchain_core.embeddings.fake.FakeEmbeddings",
+      },
+      {
+        name: "OpenAI",
+        link: "openai",
+        package: "langchain-openai",
+        apiLink:
+          "https://api.python.langchain.com/en/latest/chat_models/langchain_openai.chat_models.base.ChatOpenAI.html#langchain_openai.chat_models.base.ChatOpenAI",
+      },
+      {
+        name: "Together",
+        link: "together",
+        package: "langchain-together",
+        apiLink:
+          "https://api.python.langchain.com/en/latest/embeddings/langchain_together.embeddings.TogetherEmbeddings.html#langchain_together.embeddings.TogetherEmbeddings",
+      },
+      {
+        name: "Fireworks",
+        link: "fireworks",
+        package: "langchain-fireworks",
+        apiLink:
+          "https://api.python.langchain.com/en/latest/embeddings/langchain_fireworks.embeddings.FireworksEmbeddings.html#langchain_fireworks.embeddings.FireworksEmbeddings",
+      },
+      {
+        name: "MistralAI",
+        link: "mistralai",
+        package: "langchain-mistralai",
+        apiLink:
+          "https://api.python.langchain.com/en/latest/embeddings/langchain_mistralai.embeddings.MistralAIEmbeddings.html#langchain_mistralai.embeddings.MistralAIEmbeddings",
+      },
+      {
+        name: "Cohere",
+        link: "cohere",
+        package: "langchain-cohere",
+        apiLink:
+          "https://api.python.langchain.com/en/latest/embeddings/langchain_cohere.embeddings.CohereEmbeddings.html#langchain_cohere.embeddings.CohereEmbeddings",
+      },
+    ],
+  },
+  document_retrievers: {
+    link: "docs/integrations/retrievers",
+    columns: [
+      {
+        title: "Retriever",
+        formatter: (item) => <a href={item.link}>{item.name}</a>,
+      },
+      {
+        title: "Self-host",
+        formatter: (item) => (item.selfHost ? "✅" : "❌"),
+      },
+      {
+        title: "Cloud offering",
+        formatter: (item) => (item.cloudOffering ? "✅" : "❌"),
+      },
+      {
+        title: "Package",
+        formatter: (item) => <a href={item.apiLink}>{item.package}</a>,
+      },
+    ],
+    items: [
+      {
+        name: "AmazonKnowledgeBasesRetriever",
+        link: "bedrock",
+        selfHost: false,
+        cloudOffering: true,
+        apiLink:
+          "https://api.python.langchain.com/en/latest/retrievers/langchain_aws.retrievers.bedrock.AmazonKnowledgeBasesRetriever.html",
+        package: "langchain_aws",
+      },
+      {
+        name: "AzureAISearchRetriever",
+        link: "azure_ai_search",
+        selfHost: false,
+        cloudOffering: true,
+        apiLink:
+          "https://api.python.langchain.com/en/latest/retrievers/langchain_community.retrievers.azure_ai_search.AzureAISearchRetriever.html",
+        package: "langchain_community",
+      },
+      {
+        name: "ElasticsearchRetriever",
+        link: "elasticsearch_retriever",
+        selfHost: true,
+        cloudOffering: true,
+        apiLink:
+          "https://api.python.langchain.com/en/latest/retrievers/langchain_elasticsearch.retrievers.ElasticsearchRetriever.html",
+        package: "langchain_elasticsearch",
+      },
+      {
+        name: "MilvusCollectionHybridSearchRetriever",
+        link: "milvus_hybrid_search",
+        selfHost: true,
+        cloudOffering: false,
+        apiLink:
+          "https://api.python.langchain.com/en/latest/retrievers/langchain_milvus.retrievers.milvus_hybrid_search.MilvusCollectionHybridSearchRetriever.html",
+        package: "langchain_milvus",
+      },
+      {
+        name: "VertexAISearchRetriever",
+        link: "google_vertex_ai_search",
+        selfHost: false,
+        cloudOffering: true,
+        apiLink:
+          "https://api.python.langchain.com/en/latest/vertex_ai_search/langchain_google_community.vertex_ai_search.VertexAISearchRetriever.html",
+        package: "langchain_google_community",
+      },
+    ],
+  },
+  external_retrievers: {
+    link: "docs/integrations/retrievers",
+    columns: [
+      {
+        title: "Retriever",
+        formatter: (item) => <a href={item.link}>{item.name}</a>,
+      },
+      { title: "Source", formatter: (item) => item.source },
+      {
+        title: "Package",
+        formatter: (item) => <a href={item.apiLink}>{item.package}</a>,
+      },
+    ],
+    items: [
+      {
+        name: "ArxivRetriever",
+        link: "arxiv",
+        source: (
+          <>
+            Scholarly articles on <a href="https://arxiv.org/">arxiv.org</a>
+          </>
+        ),
+        apiLink:
+          "https://api.python.langchain.com/en/latest/retrievers/langchain_community.retrievers.arxiv.ArxivRetriever.html",
+        package: "langchain_community",
+      },
+      {
+        name: "TavilySearchAPIRetriever",
+        link: "tavily",
+        source: "Internet search",
+        apiLink:
+          "https://api.python.langchain.com/en/latest/retrievers/langchain_community.retrievers.tavily_search_api.TavilySearchAPIRetriever.html",
+        package: "langchain_community",
+      },
+      {
+        name: "WikipediaRetriever",
+        link: "wikipedia",
+        source: (
+          <>
+            <a href="https://www.wikipedia.org/">Wikipedia</a> articles
+          </>
+        ),
+        apiLink:
+          "https://api.python.langchain.com/en/latest/retrievers/langchain_community.retrievers.wikipedia.WikipediaRetriever.html",
+        package: "langchain_community",
+      },
+    ],
+  },
+  document_loaders: {
+    link: "docs/integrations/loaders",
+    columns: [],
+    items: [],
+  },
+  vectorstores: {
+    link: "docs/integrations/vectorstores",
+    columns: [
+      {
+        title: "Vectorstore",
+        formatter: (item) => <a href={item.link}>{item.name}</a>,
+      },
+      {
+        title: "Delete by ID",
+        formatter: (item) => (item.deleteById ? "✅" : "❌"),
+      },
+      {
+        title: "Filtering",
+        formatter: (item) => (item.filtering ? "✅" : "❌"),
+      },
+      {
+        title: "Search by Vector",
+        formatter: (item) => (item.searchByVector ? "✅" : "❌"),
+      },
+      {
+        title: "Search with score",
+        formatter: (item) => (item.searchWithScore ? "✅" : "❌"),
+      },
+      { title: "Async", formatter: (item) => (item.async ? "✅" : "❌") },
+      {
+        title: "Passes Standard Tests",
+        formatter: (item) => (item.passesStandardTests ? "✅" : "❌"),
+      },
+      {
+        title: "Multi Tenancy",
+        formatter: (item) => (item.multiTenancy ? "✅" : "❌"),
+      },
+      {
+        title: "IDs in add Documents",
+        formatter: (item) => (item.idsInAddDocuments ? "✅" : "❌"),
+      },
+      {
+        title: "Local/Cloud",
+        formatter: (item) => (item.local ? "Local" : "Cloud"),
+      },
+    ],
+    items: [
+      {
+        name: "AstraDBVectorStore",
+        link: "astradb",
+        deleteById: true,
+        filtering: true,
+        searchByVector: true,
+        searchWithScore: true,
+        async: true,
+        passesStandardTests: false,
+        multiTenancy: false,
+        local: true,
+        idsInAddDocuments: false,
+      },
+      {
+        name: "Chroma",
+        link: "chroma",
+        deleteById: true,
+        filtering: true,
+        searchByVector: true,
+        searchWithScore: true,
+        async: true,
+        passesStandardTests: false,
+        multiTenancy: false,
+        local: true,
+        idsInAddDocuments: false,
+      },
+      {
+        name: "Clickhouse",
+        link: "clickhouse",
+        deleteById: true,
+        filtering: true,
+        searchByVector: false,
+        searchWithScore: true,
+        async: false,
+        passesStandardTests: false,
+        multiTenancy: false,
+        local: true,
+        idsInAddDocuments: false,
+      },
+      {
+        name: "CouchbaseVectorStore",
+        link: "couchbase",
+        deleteById: true,
+        filtering: true,
+        searchByVector: false,
+        searchWithScore: true,
+        async: true,
+        passesStandardTests: false,
+        multiTenancy: false,
+        local: true,
+        idsInAddDocuments: false,
+      },
+      {
+        name: "ElasticsearchStore",
+        link: "elasticsearch",
+        deleteById: true,
+        filtering: true,
+        searchByVector: true,
+        searchWithScore: false,
+        async: true,
+        passesStandardTests: false,
+        multiTenancy: false,
+        local: true,
+        idsInAddDocuments: false,
+      },
+      {
+        name: "FAISS",
+        link: "faiss",
+        deleteById: true,
+        filtering: true,
+        searchByVector: true,
+        searchWithScore: true,
+        async: true,
+        passesStandardTests: false,
+        multiTenancy: false,
+        local: true,
+        idsInAddDocuments: false,
+      },
+      {
+        name: "InMemoryVectorStore",
+        link: "in_memory",
+        deleteById: true,
+        filtering: true,
+        searchByVector: false,
+        searchWithScore: true,
+        async: true,
+        passesStandardTests: false,
+        multiTenancy: false,
+        local: true,
+        idsInAddDocuments: false,
+      },
+      {
+        name: "Milvus",
+        link: "milvus",
+        deleteById: true,
+        filtering: true,
+        searchByVector: false,
+        searchWithScore: true,
+        async: true,
+        passesStandardTests: false,
+        multiTenancy: false,
+        local: true,
+        idsInAddDocuments: false,
+      },
+      {
+        name: "MongoDBAtlasVectorSearch",
+        link: "mongodb_atlas",
+        deleteById: true,
+        filtering: true,
+        searchByVector: false,
+        searchWithScore: false,
+        async: true,
+        passesStandardTests: false,
+        multiTenancy: false,
+        local: true,
+        idsInAddDocuments: false,
+      },
+      {
+        name: "PGVector",
+        link: "pg_vector",
+        deleteById: true,
+        filtering: true,
+        searchByVector: true,
+        searchWithScore: true,
+        async: true,
+        passesStandardTests: false,
+        multiTenancy: false,
+        local: true,
+        idsInAddDocuments: false,
+      },
+      {
+        name: "PineconeVectorStore",
+        link: "pinecone",
+        deleteById: true,
+        filtering: true,
+        searchByVector: true,
+        searchWithScore: false,
+        async: true,
+        passesStandardTests: false,
+        multiTenancy: false,
+        local: true,
+        idsInAddDocuments: false,
+      },
+      {
+        name: "QdrantVectorStore",
+        link: "qdrant",
+        deleteById: true,
+        filtering: true,
+        searchByVector: true,
+        searchWithScore: true,
+        async: true,
+        passesStandardTests: false,
+        multiTenancy: false,
+        local: true,
+        idsInAddDocuments: false,
+      },
+      {
+        name: "Redis",
+        link: "redis",
+        deleteById: true,
+        filtering: true,
+        searchByVector: true,
+        searchWithScore: true,
+        async: true,
+        passesStandardTests: false,
+        multiTenancy: false,
+        local: true,
+        idsInAddDocuments: false,
+      },
+    ],
+  },
+};
+
+const DEPRECATED_DOC_IDS = [
+  "integrations/chat/anthropic_tools",
+  "integrations/chat/baidu_wenxin",
+  "integrations/chat/google_palm",
+  "integrations/chat/ni_bittensor",
+  "integrations/llms/google_palm",
+  "integrations/llms/ni_bittensor",
+  "integrations/llms/prompt_layer_openai",
+  "integrations/text_embedding/google_palm",
+  "integrations/retrievers/chatgpt-retriever-plugin",
+  "integrations/tools/aiplugin-tool",
+  "integrations/tools/zapier_agent",
+];
+
+function toTable(columns, items) {
+  const headers = columns.map((col) => col.title);
+  return (
+    <table>
+      <thead>
+        <tr>
+          {headers.map((header, i) => (
+            // eslint-disable-next-line react/no-array-index-key
+            <th key={`header-${i}`}>{header}</th>
+          ))}
+        </tr>
+      </thead>
+      <tbody>
+        {items.map((item, i) => (
+          // eslint-disable-next-line react/no-array-index-key
+          <tr key={`row-${i}`}>
+            {columns.map((col, j) => (
+              // eslint-disable-next-line react/no-array-index-key
+              <td key={`cell-${i}-${j}`}>{col.formatter(item)}</td>
+            ))}
+          </tr>
+        ))}
+      </tbody>
+    </table>
+  );
+}
+
+export function CategoryTable({ category }) {
+  const cat = FEATURE_TABLES[category];
+  const rtn = toTable(cat.columns, cat.items);
+  return rtn;
+}
+
+export function ItemTable({ category, item }) {
+  const cat = FEATURE_TABLES[category];
+  const row = cat.items.find((i) => i.name === item);
+  if (!row) {
+    throw new Error(`Item ${item} not found in category ${category}`);
+  }
+  const rtn = toTable(cat.columns, [row]);
+  return rtn;
+}
+
+function truncate(str, n) {
+  return str.length > n ? str.substring(0, n - 1) + "..." : str;
+}
+
+export function IndexTable() {
+  const { items } = useCurrentSidebarCategory();
+
+  const rows = items
+    .filter(
+      (item) =>
+        !item.docId?.endsWith?.("/index") &&
+        !DEPRECATED_DOC_IDS.includes(item.docId)
+    )
+    .map((item) => ({
+      ...item,
+      // eslint-disable-next-line react-hooks/rules-of-hooks
+      description: useDocById(item.docId ?? undefined)?.description,
+    }));
+  const rtn = toTable(
+    [
+      {
+        title: "Name",
+        formatter: (item) => <a href={item.href}>{item.label}</a>,
+      },
+      {
+        title: "Description",
+        formatter: (item) => truncate(item.description ?? "", 70),
+      },
+    ],
+    rows
+  );
+  return rtn;
+}

From 3d28b8beccd3bfc130500e4e66894504aa54d4c3 Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Wed, 14 Aug 2024 06:53:58 -0700
Subject: [PATCH 022/344] Bump version, relax types (#6526)

---
 libs/langchain-anthropic/package.json         |  2 +-
 .../src/utils/message_inputs.ts               | 19 +++++++++----------
 yarn.lock                                     | 11 +++++------
 3 files changed, 15 insertions(+), 17 deletions(-)

diff --git a/libs/langchain-anthropic/package.json b/libs/langchain-anthropic/package.json
index bdde0965807b..1312d40f96a9 100644
--- a/libs/langchain-anthropic/package.json
+++ b/libs/langchain-anthropic/package.json
@@ -35,7 +35,7 @@
   "author": "LangChain",
   "license": "MIT",
   "dependencies": {
-    "@anthropic-ai/sdk": "^0.22.0",
+    "@anthropic-ai/sdk": "^0.25.2",
     "@langchain/core": ">=0.2.21 <0.3.0",
     "fast-xml-parser": "^4.4.1",
     "zod": "^3.22.4",
diff --git a/libs/langchain-anthropic/src/utils/message_inputs.ts b/libs/langchain-anthropic/src/utils/message_inputs.ts
index 8c45d38fea83..b6fe6523df4a 100644
--- a/libs/langchain-anthropic/src/utils/message_inputs.ts
+++ b/libs/langchain-anthropic/src/utils/message_inputs.ts
@@ -11,7 +11,10 @@ import {
   isAIMessage,
 } from "@langchain/core/messages";
 import { ToolCall } from "@langchain/core/messages/tool";
-import { AnthropicMessageParam, AnthropicToolResponse } from "../types.js";
+import {
+  AnthropicMessageCreateParams,
+  AnthropicToolResponse,
+} from "../types.js";
 
 function _formatImage(imageUrl: string) {
   const regex = /^data:(image\/.+);base64,(.+)$/;
@@ -179,16 +182,12 @@ function _formatContent(content: MessageContent) {
  * @param messages The base messages to format as a prompt.
  * @returns The formatted prompt.
  */
-export function _formatMessagesForAnthropic(messages: BaseMessage[]): {
-  system?: string;
-  messages: AnthropicMessageParam[];
-} {
+export function _formatMessagesForAnthropic(
+  messages: BaseMessage[]
+): AnthropicMessageCreateParams {
   const mergedMessages = _mergeMessages(messages);
-  let system: string | undefined;
+  let system;
   if (mergedMessages.length > 0 && mergedMessages[0]._getType() === "system") {
-    if (typeof messages[0].content !== "string") {
-      throw new Error("System message content must be a string.");
-    }
     system = messages[0].content;
   }
   const conversationMessages =
@@ -256,5 +255,5 @@ export function _formatMessagesForAnthropic(messages: BaseMessage[]): {
   return {
     messages: formattedMessages,
     system,
-  };
+  } as AnthropicMessageCreateParams;
 }
diff --git a/yarn.lock b/yarn.lock
index 036030d4dab3..232e9bc34685 100644
--- a/yarn.lock
+++ b/yarn.lock
@@ -211,9 +211,9 @@ __metadata:
   languageName: node
   linkType: hard
 
-"@anthropic-ai/sdk@npm:^0.22.0":
-  version: 0.22.0
-  resolution: "@anthropic-ai/sdk@npm:0.22.0"
+"@anthropic-ai/sdk@npm:^0.25.2":
+  version: 0.25.2
+  resolution: "@anthropic-ai/sdk@npm:0.25.2"
   dependencies:
     "@types/node": ^18.11.18
     "@types/node-fetch": ^2.6.4
@@ -222,8 +222,7 @@ __metadata:
     form-data-encoder: 1.7.2
     formdata-node: ^4.3.2
     node-fetch: ^2.6.7
-    web-streams-polyfill: ^3.2.1
-  checksum: f09fc6ea1f5f68483fd2dbdc1ab78a0914d7a3f39fd4a921f5a04b8959ae82aa210372fa2dbff2ee78143d37fb408e7b7d61e0023e7ea31d5fa1f4873f371af8
+  checksum: b38f6a43f6f678e49f1b53226cc55654c23cf0fd1902cf3fcf98c0ae78f4c229518964f4cb31bc39da41925c806e7f4cc7ec14c511d387f07db3136b111bc744
   languageName: node
   linkType: hard
 
@@ -10852,7 +10851,7 @@ __metadata:
   version: 0.0.0-use.local
   resolution: "@langchain/anthropic@workspace:libs/langchain-anthropic"
   dependencies:
-    "@anthropic-ai/sdk": ^0.22.0
+    "@anthropic-ai/sdk": ^0.25.2
     "@jest/globals": ^29.5.0
     "@langchain/core": ">=0.2.21 <0.3.0"
     "@langchain/scripts": ~0.0.20

From 229d92e994c492987bb3623bdb14813c9673bbab Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Wed, 14 Aug 2024 06:58:32 -0700
Subject: [PATCH 023/344] anthropic[patch]: Release 0.2.15 (#6528)

---
 libs/langchain-anthropic/package.json | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/libs/langchain-anthropic/package.json b/libs/langchain-anthropic/package.json
index 1312d40f96a9..314dc51b5b7d 100644
--- a/libs/langchain-anthropic/package.json
+++ b/libs/langchain-anthropic/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/anthropic",
-  "version": "0.2.14",
+  "version": "0.2.15",
   "description": "Anthropic integrations for LangChain.js",
   "type": "module",
   "engines": {

From c92dfb5dd23e3d426d23d337659014c700c0a58d Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Wed, 14 Aug 2024 07:24:39 -0700
Subject: [PATCH 024/344] docs[patch]: Fix typos (#6530)

* Typos

* Deprecate
---
 docs/core_docs/docs/integrations/llms/index.mdx         | 2 +-
 docs/core_docs/docs/integrations/vectorstores/index.mdx | 2 +-
 docs/core_docs/src/theme/FeatureTables.js               | 2 ++
 3 files changed, 4 insertions(+), 2 deletions(-)

diff --git a/docs/core_docs/docs/integrations/llms/index.mdx b/docs/core_docs/docs/integrations/llms/index.mdx
index b50ac95938b2..646b79f19c62 100644
--- a/docs/core_docs/docs/integrations/llms/index.mdx
+++ b/docs/core_docs/docs/integrations/llms/index.mdx
@@ -11,7 +11,7 @@ You are currently on a page documenting the use of [text completion models](/doc
 Unless you are specifically using more advanced prompting techniques, you are probably looking for [this page instead](/docs/integrations/chat/).
 :::
 
-[LLMs](docs/concepts/#llms) are Language models that takes a string as input and returns a string. These are generally older models (newer models generally are chat models, see above).
+[LLMs](docs/concepts/#llms) are language models that takes a string as input and return a string as output.
 
 :::info
 If you'd like to write your own LLM, see [this how-to](/docs/how_to/custom_llm). If you'd like to contribute an integration, see [Contributing integrations](/docs/contributing).
diff --git a/docs/core_docs/docs/integrations/vectorstores/index.mdx b/docs/core_docs/docs/integrations/vectorstores/index.mdx
index a335c0aa3cbb..eb93d1f64953 100644
--- a/docs/core_docs/docs/integrations/vectorstores/index.mdx
+++ b/docs/core_docs/docs/integrations/vectorstores/index.mdx
@@ -5,7 +5,7 @@ sidebar_class_name: hidden
 
 # Vector stores
 
-A [vector store](/docs/concepts/#vectorstores) stores [embedded](/docs/concepts/#embedding-models) data and performing similarity search.
+A [vector store](/docs/concepts/#vectorstores) stores [embedded](/docs/concepts/#embedding-models) data and performs similarity search.
 
 LangChain.js integrates with a variety of vector stores. You can check out a full list below:
 
diff --git a/docs/core_docs/src/theme/FeatureTables.js b/docs/core_docs/src/theme/FeatureTables.js
index a1c66228b238..1870361af2b9 100644
--- a/docs/core_docs/src/theme/FeatureTables.js
+++ b/docs/core_docs/src/theme/FeatureTables.js
@@ -745,6 +745,8 @@ const DEPRECATED_DOC_IDS = [
   "integrations/chat/baidu_wenxin",
   "integrations/chat/google_palm",
   "integrations/chat/ni_bittensor",
+  "integrations/chat/ollama_functions",
+  "integrations/chat/prompt_layer_openai",
   "integrations/llms/google_palm",
   "integrations/llms/ni_bittensor",
   "integrations/llms/prompt_layer_openai",

From 9303967f0d02ee24c1c3cc209dcb69ca2aa91967 Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Wed, 14 Aug 2024 09:56:09 -0700
Subject: [PATCH 025/344] docs[patch]: Add Anthropic prompt caching docs
 (#6531)

* Adds integration test

* Adds docs

* Update

* Fix
---
 .../docs/integrations/chat/anthropic.ipynb    | 458 ++++++++++++++++++
 .../src/tests/chat_models.int.test.ts         | 350 ++++++++++++-
 2 files changed, 807 insertions(+), 1 deletion(-)

diff --git a/docs/core_docs/docs/integrations/chat/anthropic.ipynb b/docs/core_docs/docs/integrations/chat/anthropic.ipynb
index 862b6a736ae9..7cf4bbb7c6d0 100644
--- a/docs/core_docs/docs/integrations/chat/anthropic.ipynb
+++ b/docs/core_docs/docs/integrations/chat/anthropic.ipynb
@@ -473,6 +473,464 @@
     "await llmWithCustomHeaders.invoke(\"Why is the sky blue?\");"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "3c5e6d7a",
+   "metadata": {},
+   "source": [
+    "## Prompt caching\n",
+    "\n",
+    "```{=mdx}\n",
+    "\n",
+    ":::caution Compatibility\n",
+    "This feature is currently in beta.\n",
+    ":::\n",
+    "\n",
+    "```\n",
+    "\n",
+    "Anthropic supports [caching parts of your prompt](https://docs.anthropic.com/en/docs/build-with-claude/prompt-caching) in order to reduce costs for use-cases that require long context. You can cache tools and both entire messages and individual blocks.\n",
+    "\n",
+    "The initial request containing one or more blocks or tool definitions with a `\"cache_control\": { \"type\": \"ephemeral\" }` field will automatically cache that part of the prompt. This initial caching step will cost extra, but subsequent requests will be billed at a reduced rate. The cache has a lifetime of 5 minutes, but this is refereshed each time the cache is hit.\n",
+    "\n",
+    "There is also currently a minimum cacheable prompt length, which varies according to model. You can see this information [here](https://docs.anthropic.com/en/docs/build-with-claude/prompt-caching#structuring-your-prompt).\n",
+    "\n",
+    "This currently requires you to initialize your model with a beta header. Here's an example of caching part of a system message that contains the LangChain [conceptual docs](/docs/concepts/):"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "5e02b056",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "let CACHED_TEXT = \"...\";"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "bba739ed",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "// @lc-docs-hide-cell\n",
+    "\n",
+    "CACHED_TEXT = `## Components\n",
+    "\n",
+    "LangChain provides standard, extendable interfaces and external integrations for various components useful for building with LLMs.\n",
+    "Some components LangChain implements, some components we rely on third-party integrations for, and others are a mix.\n",
+    "\n",
+    "### Chat models\n",
+    "\n",
+    "<span data-heading-keywords=\"chat model,chat models\"></span>\n",
+    "\n",
+    "Language models that use a sequence of messages as inputs and return chat messages as outputs (as opposed to using plain text).\n",
+    "These are generally newer models (older models are generally \\`LLMs\\`, see below).\n",
+    "Chat models support the assignment of distinct roles to conversation messages, helping to distinguish messages from the AI, users, and instructions such as system messages.\n",
+    "\n",
+    "Although the underlying models are messages in, message out, the LangChain wrappers also allow these models to take a string as input.\n",
+    "This gives them the same interface as LLMs (and simpler to use).\n",
+    "When a string is passed in as input, it will be converted to a \\`HumanMessage\\` under the hood before being passed to the underlying model.\n",
+    "\n",
+    "LangChain does not host any Chat Models, rather we rely on third party integrations.\n",
+    "\n",
+    "We have some standardized parameters when constructing ChatModels:\n",
+    "\n",
+    "- \\`model\\`: the name of the model\n",
+    "\n",
+    "Chat Models also accept other parameters that are specific to that integration.\n",
+    "\n",
+    ":::important\n",
+    "Some chat models have been fine-tuned for **tool calling** and provide a dedicated API for it.\n",
+    "Generally, such models are better at tool calling than non-fine-tuned models, and are recommended for use cases that require tool calling.\n",
+    "Please see the [tool calling section](/docs/concepts/#functiontool-calling) for more information.\n",
+    ":::\n",
+    "\n",
+    "For specifics on how to use chat models, see the [relevant how-to guides here](/docs/how_to/#chat-models).\n",
+    "\n",
+    "#### Multimodality\n",
+    "\n",
+    "Some chat models are multimodal, accepting images, audio and even video as inputs.\n",
+    "These are still less common, meaning model providers haven't standardized on the \"best\" way to define the API.\n",
+    "Multimodal outputs are even less common. As such, we've kept our multimodal abstractions fairly light weight\n",
+    "and plan to further solidify the multimodal APIs and interaction patterns as the field matures.\n",
+    "\n",
+    "In LangChain, most chat models that support multimodal inputs also accept those values in OpenAI's content blocks format.\n",
+    "So far this is restricted to image inputs. For models like Gemini which support video and other bytes input, the APIs also support the native, model-specific representations.\n",
+    "\n",
+    "For specifics on how to use multimodal models, see the [relevant how-to guides here](/docs/how_to/#multimodal).\n",
+    "\n",
+    "### LLMs\n",
+    "\n",
+    "<span data-heading-keywords=\"llm,llms\"></span>\n",
+    "\n",
+    ":::caution\n",
+    "Pure text-in/text-out LLMs tend to be older or lower-level. Many popular models are best used as [chat completion models](/docs/concepts/#chat-models),\n",
+    "even for non-chat use cases.\n",
+    "\n",
+    "You are probably looking for [the section above instead](/docs/concepts/#chat-models).\n",
+    ":::\n",
+    "\n",
+    "Language models that takes a string as input and returns a string.\n",
+    "These are traditionally older models (newer models generally are [Chat Models](/docs/concepts/#chat-models), see above).\n",
+    "\n",
+    "Although the underlying models are string in, string out, the LangChain wrappers also allow these models to take messages as input.\n",
+    "This gives them the same interface as [Chat Models](/docs/concepts/#chat-models).\n",
+    "When messages are passed in as input, they will be formatted into a string under the hood before being passed to the underlying model.\n",
+    "\n",
+    "LangChain does not host any LLMs, rather we rely on third party integrations.\n",
+    "\n",
+    "For specifics on how to use LLMs, see the [relevant how-to guides here](/docs/how_to/#llms).\n",
+    "\n",
+    "### Message types\n",
+    "\n",
+    "Some language models take an array of messages as input and return a message.\n",
+    "There are a few different types of messages.\n",
+    "All messages have a \\`role\\`, \\`content\\`, and \\`response_metadata\\` property.\n",
+    "\n",
+    "The \\`role\\` describes WHO is saying the message.\n",
+    "LangChain has different message classes for different roles.\n",
+    "\n",
+    "The \\`content\\` property describes the content of the message.\n",
+    "This can be a few different things:\n",
+    "\n",
+    "- A string (most models deal this type of content)\n",
+    "- A List of objects (this is used for multi-modal input, where the object contains information about that input type and that input location)\n",
+    "\n",
+    "#### HumanMessage\n",
+    "\n",
+    "This represents a message from the user.\n",
+    "\n",
+    "#### AIMessage\n",
+    "\n",
+    "This represents a message from the model. In addition to the \\`content\\` property, these messages also have:\n",
+    "\n",
+    "**\\`response_metadata\\`**\n",
+    "\n",
+    "The \\`response_metadata\\` property contains additional metadata about the response. The data here is often specific to each model provider.\n",
+    "This is where information like log-probs and token usage may be stored.\n",
+    "\n",
+    "**\\`tool_calls\\`**\n",
+    "\n",
+    "These represent a decision from an language model to call a tool. They are included as part of an \\`AIMessage\\` output.\n",
+    "They can be accessed from there with the \\`.tool_calls\\` property.\n",
+    "\n",
+    "This property returns a list of \\`ToolCall\\`s. A \\`ToolCall\\` is an object with the following arguments:\n",
+    "\n",
+    "- \\`name\\`: The name of the tool that should be called.\n",
+    "- \\`args\\`: The arguments to that tool.\n",
+    "- \\`id\\`: The id of that tool call.\n",
+    "\n",
+    "#### SystemMessage\n",
+    "\n",
+    "This represents a system message, which tells the model how to behave. Not every model provider supports this.\n",
+    "\n",
+    "#### ToolMessage\n",
+    "\n",
+    "This represents the result of a tool call. In addition to \\`role\\` and \\`content\\`, this message has:\n",
+    "\n",
+    "- a \\`tool_call_id\\` field which conveys the id of the call to the tool that was called to produce this result.\n",
+    "- an \\`artifact\\` field which can be used to pass along arbitrary artifacts of the tool execution which are useful to track but which should not be sent to the model.\n",
+    "\n",
+    "#### (Legacy) FunctionMessage\n",
+    "\n",
+    "This is a legacy message type, corresponding to OpenAI's legacy function-calling API. \\`ToolMessage\\` should be used instead to correspond to the updated tool-calling API.\n",
+    "\n",
+    "This represents the result of a function call. In addition to \\`role\\` and \\`content\\`, this message has a \\`name\\` parameter which conveys the name of the function that was called to produce this result.\n",
+    "\n",
+    "### Prompt templates\n",
+    "\n",
+    "<span data-heading-keywords=\"prompt,prompttemplate,chatprompttemplate\"></span>\n",
+    "\n",
+    "Prompt templates help to translate user input and parameters into instructions for a language model.\n",
+    "This can be used to guide a model's response, helping it understand the context and generate relevant and coherent language-based output.\n",
+    "\n",
+    "Prompt Templates take as input an object, where each key represents a variable in the prompt template to fill in.\n",
+    "\n",
+    "Prompt Templates output a PromptValue. This PromptValue can be passed to an LLM or a ChatModel, and can also be cast to a string or an array of messages.\n",
+    "The reason this PromptValue exists is to make it easy to switch between strings and messages.\n",
+    "\n",
+    "There are a few different types of prompt templates:\n",
+    "\n",
+    "#### String PromptTemplates\n",
+    "\n",
+    "These prompt templates are used to format a single string, and generally are used for simpler inputs.\n",
+    "For example, a common way to construct and use a PromptTemplate is as follows:\n",
+    "\n",
+    "\\`\\`\\`typescript\n",
+    "import { PromptTemplate } from \"@langchain/core/prompts\";\n",
+    "\n",
+    "const promptTemplate = PromptTemplate.fromTemplate(\n",
+    "  \"Tell me a joke about {topic}\"\n",
+    ");\n",
+    "\n",
+    "await promptTemplate.invoke({ topic: \"cats\" });\n",
+    "\\`\\`\\`\n",
+    "\n",
+    "#### ChatPromptTemplates\n",
+    "\n",
+    "These prompt templates are used to format an array of messages. These \"templates\" consist of an array of templates themselves.\n",
+    "For example, a common way to construct and use a ChatPromptTemplate is as follows:\n",
+    "\n",
+    "\\`\\`\\`typescript\n",
+    "import { ChatPromptTemplate } from \"@langchain/core/prompts\";\n",
+    "\n",
+    "const promptTemplate = ChatPromptTemplate.fromMessages([\n",
+    "  [\"system\", \"You are a helpful assistant\"],\n",
+    "  [\"user\", \"Tell me a joke about {topic}\"],\n",
+    "]);\n",
+    "\n",
+    "await promptTemplate.invoke({ topic: \"cats\" });\n",
+    "\\`\\`\\`\n",
+    "\n",
+    "In the above example, this ChatPromptTemplate will construct two messages when called.\n",
+    "The first is a system message, that has no variables to format.\n",
+    "The second is a HumanMessage, and will be formatted by the \\`topic\\` variable the user passes in.\n",
+    "\n",
+    "#### MessagesPlaceholder\n",
+    "\n",
+    "<span data-heading-keywords=\"messagesplaceholder\"></span>\n",
+    "\n",
+    "This prompt template is responsible for adding an array of messages in a particular place.\n",
+    "In the above ChatPromptTemplate, we saw how we could format two messages, each one a string.\n",
+    "But what if we wanted the user to pass in an array of messages that we would slot into a particular spot?\n",
+    "This is how you use MessagesPlaceholder.\n",
+    "\n",
+    "\\`\\`\\`typescript\n",
+    "import {\n",
+    "  ChatPromptTemplate,\n",
+    "  MessagesPlaceholder,\n",
+    "} from \"@langchain/core/prompts\";\n",
+    "import { HumanMessage } from \"@langchain/core/messages\";\n",
+    "\n",
+    "const promptTemplate = ChatPromptTemplate.fromMessages([\n",
+    "  [\"system\", \"You are a helpful assistant\"],\n",
+    "  new MessagesPlaceholder(\"msgs\"),\n",
+    "]);\n",
+    "\n",
+    "promptTemplate.invoke({ msgs: [new HumanMessage({ content: \"hi!\" })] });\n",
+    "\\`\\`\\`\n",
+    "\n",
+    "This will produce an array of two messages, the first one being a system message, and the second one being the HumanMessage we passed in.\n",
+    "If we had passed in 5 messages, then it would have produced 6 messages in total (the system message plus the 5 passed in).\n",
+    "This is useful for letting an array of messages be slotted into a particular spot.\n",
+    "\n",
+    "An alternative way to accomplish the same thing without using the \\`MessagesPlaceholder\\` class explicitly is:\n",
+    "\n",
+    "\\`\\`\\`typescript\n",
+    "const promptTemplate = ChatPromptTemplate.fromMessages([\n",
+    "  [\"system\", \"You are a helpful assistant\"],\n",
+    "  [\"placeholder\", \"{msgs}\"], // <-- This is the changed part\n",
+    "]);\n",
+    "\\`\\`\\`\n",
+    "\n",
+    "For specifics on how to use prompt templates, see the [relevant how-to guides here](/docs/how_to/#prompt-templates).\n",
+    "\n",
+    "### Example Selectors\n",
+    "\n",
+    "One common prompting technique for achieving better performance is to include examples as part of the prompt.\n",
+    "This gives the language model concrete examples of how it should behave.\n",
+    "Sometimes these examples are hardcoded into the prompt, but for more advanced situations it may be nice to dynamically select them.\n",
+    "Example Selectors are classes responsible for selecting and then formatting examples into prompts.\n",
+    "\n",
+    "For specifics on how to use example selectors, see the [relevant how-to guides here](/docs/how_to/#example-selectors).\n",
+    "\n",
+    "### Output parsers\n",
+    "\n",
+    "<span data-heading-keywords=\"output parser\"></span>\n",
+    "\n",
+    ":::note\n",
+    "\n",
+    "The information here refers to parsers that take a text output from a model try to parse it into a more structured representation.\n",
+    "More and more models are supporting function (or tool) calling, which handles this automatically.\n",
+    "It is recommended to use function/tool calling rather than output parsing.\n",
+    "See documentation for that [here](/docs/concepts/#function-tool-calling).\n",
+    "\n",
+    ":::\n",
+    "\n",
+    "Responsible for taking the output of a model and transforming it to a more suitable format for downstream tasks.\n",
+    "Useful when you are using LLMs to generate structured data, or to normalize output from chat models and LLMs.\n",
+    "\n",
+    "There are two main methods an output parser must implement:\n",
+    "\n",
+    "- \"Get format instructions\": A method which returns a string containing instructions for how the output of a language model should be formatted.\n",
+    "- \"Parse\": A method which takes in a string (assumed to be the response from a language model) and parses it into some structure.\n",
+    "\n",
+    "And then one optional one:\n",
+    "\n",
+    "- \"Parse with prompt\": A method which takes in a string (assumed to be the response from a language model) and a prompt (assumed to be the prompt that generated such a response) and parses it into some structure. The prompt is largely provided in the event the OutputParser wants to retry or fix the output in some way, and needs information from the prompt to do so.\n",
+    "\n",
+    "Output parsers accept a string or \\`BaseMessage\\` as input and can return an arbitrary type.\n",
+    "\n",
+    "LangChain has many different types of output parsers. This is a list of output parsers LangChain supports. The table below has various pieces of information:\n",
+    "\n",
+    "**Name**: The name of the output parser\n",
+    "\n",
+    "**Supports Streaming**: Whether the output parser supports streaming.\n",
+    "\n",
+    "**Input Type**: Expected input type. Most output parsers work on both strings and messages, but some (like OpenAI Functions) need a message with specific arguments.\n",
+    "\n",
+    "**Output Type**: The output type of the object returned by the parser.\n",
+    "\n",
+    "**Description**: Our commentary on this output parser and when to use it.\n",
+    "\n",
+    "The current date is ${new Date().toISOString()}`;\n",
+    "\n",
+    "// Noop statement to hide output\n",
+    "void 0;"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "6e47de9b",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "USAGE: {\n",
+      "  input_tokens: 19,\n",
+      "  cache_creation_input_tokens: 2925,\n",
+      "  cache_read_input_tokens: 0,\n",
+      "  output_tokens: 327\n",
+      "}\n"
+     ]
+    }
+   ],
+   "source": [
+    "import { ChatAnthropic } from \"@langchain/anthropic\";\n",
+    "import { HumanMessage, SystemMessage } from \"@langchain/core/messages\";\n",
+    "\n",
+    "const modelWithCaching = new ChatAnthropic({\n",
+    "  model: \"claude-3-haiku-20240307\",\n",
+    "  clientOptions: {\n",
+    "    defaultHeaders: {\n",
+    "      \"anthropic-beta\": \"prompt-caching-2024-07-31\",\n",
+    "    },\n",
+    "  },\n",
+    "});\n",
+    "\n",
+    "const LONG_TEXT = `You are a pirate. Always respond in pirate dialect.\n",
+    "\n",
+    "Use the following as context when answering questions:\n",
+    "\n",
+    "${CACHED_TEXT}`;\n",
+    "\n",
+    "const messages = [\n",
+    "  new SystemMessage({\n",
+    "    content: [\n",
+    "      {\n",
+    "        type: \"text\",\n",
+    "        text: LONG_TEXT,\n",
+    "        // Tell Anthropic to cache this block\n",
+    "        cache_control: { type: \"ephemeral\" },\n",
+    "      },\n",
+    "    ],\n",
+    "  }),\n",
+    "  new HumanMessage({\n",
+    "    content: \"What types of messages are supported in LangChain?\",\n",
+    "  }),\n",
+    "];\n",
+    "\n",
+    "const res = await modelWithCaching.invoke(messages);\n",
+    "\n",
+    "console.log(\"USAGE:\", res.response_metadata.usage);"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "826d95b6",
+   "metadata": {},
+   "source": [
+    "We can see that there's a new field called `cache_creation_input_tokens` in the raw usage field returned from Anthropic.\n",
+    "\n",
+    "If we use the same messages again, we can see that the long text's input tokens are read from the cache:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "5d264f8b",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "USAGE: {\n",
+      "  input_tokens: 19,\n",
+      "  cache_creation_input_tokens: 0,\n",
+      "  cache_read_input_tokens: 2925,\n",
+      "  output_tokens: 250\n",
+      "}\n"
+     ]
+    }
+   ],
+   "source": [
+    "const res2 = await modelWithCaching.invoke(messages);\n",
+    "\n",
+    "console.log(\"USAGE:\", res2.response_metadata.usage);"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "fc6bba1b",
+   "metadata": {},
+   "source": [
+    "### Tool caching\n",
+    "\n",
+    "You can also cache tools by setting the same `\"cache_control\": { \"type\": \"ephemeral\" }` within a tool definition. This currently requires you to bind a tool in [Anthropic's raw tool format](https://docs.anthropic.com/en/docs/build-with-claude/tool-use) Here's an example:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "9c7c5eaf",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "const SOME_LONG_DESCRIPTION = \"...\";\n",
+    "\n",
+    "// Tool in Anthropic format\n",
+    "const anthropicTools = [{\n",
+    "  name: \"get_weather\",\n",
+    "  description: SOME_LONG_DESCRIPTION,\n",
+    "  input_schema: {\n",
+    "    type: \"object\",\n",
+    "    properties: {\n",
+    "      location: {\n",
+    "        type: \"string\",\n",
+    "        description: \"Location to get the weather for\",\n",
+    "      },\n",
+    "      unit: {\n",
+    "        type: \"string\",\n",
+    "        description: \"Temperature unit to return\",\n",
+    "      },\n",
+    "    },\n",
+    "    required: [\"location\"],\n",
+    "  },\n",
+    "  // Tell Anthropic to cache this tool\n",
+    "  cache_control: { type: \"ephemeral\" },\n",
+    "}]\n",
+    "\n",
+    "const modelWithCachedTools = modelWithCaching.bindTools(anthropicTools);\n",
+    "\n",
+    "await modelWithCachedTools.invoke(\"what is the weather in SF?\");"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "5d000dd9",
+   "metadata": {},
+   "source": [
+    "\n",
+    "\n",
+    "For more on how prompt caching works, see [Anthropic's docs](https://docs.anthropic.com/en/docs/build-with-claude/prompt-caching#how-prompt-caching-works)."
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "3a5bb5ca-c3ae-4a58-be67-2cd18574b9a3",
diff --git a/libs/langchain-anthropic/src/tests/chat_models.int.test.ts b/libs/langchain-anthropic/src/tests/chat_models.int.test.ts
index d83a06e8fb28..29d12a22dcb5 100644
--- a/libs/langchain-anthropic/src/tests/chat_models.int.test.ts
+++ b/libs/langchain-anthropic/src/tests/chat_models.int.test.ts
@@ -1,7 +1,11 @@
 /* eslint-disable no-process-env */
 
 import { expect, test } from "@jest/globals";
-import { AIMessageChunk, HumanMessage } from "@langchain/core/messages";
+import {
+  AIMessageChunk,
+  HumanMessage,
+  SystemMessage,
+} from "@langchain/core/messages";
 import { ChatPromptValue } from "@langchain/core/prompt_values";
 import {
   PromptTemplate,
@@ -387,3 +391,347 @@ test("id is supplied when streaming", async () => {
   expect(finalChunk.id).toBeDefined();
   expect(finalChunk.id).not.toEqual("");
 });
+
+test("system prompt caching", async () => {
+  const CACHED_TEXT = `## Components
+
+LangChain provides standard, extendable interfaces and external integrations for various components useful for building with LLMs.
+Some components LangChain implements, some components we rely on third-party integrations for, and others are a mix.
+
+### Chat models
+
+<span data-heading-keywords="chat model,chat models"></span>
+
+Language models that use a sequence of messages as inputs and return chat messages as outputs (as opposed to using plain text).
+These are generally newer models (older models are generally \`LLMs\`, see below).
+Chat models support the assignment of distinct roles to conversation messages, helping to distinguish messages from the AI, users, and instructions such as system messages.
+
+Although the underlying models are messages in, message out, the LangChain wrappers also allow these models to take a string as input.
+This gives them the same interface as LLMs (and simpler to use).
+When a string is passed in as input, it will be converted to a \`HumanMessage\` under the hood before being passed to the underlying model.
+
+LangChain does not host any Chat Models, rather we rely on third party integrations.
+
+We have some standardized parameters when constructing ChatModels:
+
+- \`model\`: the name of the model
+
+Chat Models also accept other parameters that are specific to that integration.
+
+:::important
+Some chat models have been fine-tuned for **tool calling** and provide a dedicated API for it.
+Generally, such models are better at tool calling than non-fine-tuned models, and are recommended for use cases that require tool calling.
+Please see the [tool calling section](/docs/concepts/#functiontool-calling) for more information.
+:::
+
+For specifics on how to use chat models, see the [relevant how-to guides here](/docs/how_to/#chat-models).
+
+#### Multimodality
+
+Some chat models are multimodal, accepting images, audio and even video as inputs.
+These are still less common, meaning model providers haven't standardized on the "best" way to define the API.
+Multimodal outputs are even less common. As such, we've kept our multimodal abstractions fairly light weight
+and plan to further solidify the multimodal APIs and interaction patterns as the field matures.
+
+In LangChain, most chat models that support multimodal inputs also accept those values in OpenAI's content blocks format.
+So far this is restricted to image inputs. For models like Gemini which support video and other bytes input, the APIs also support the native, model-specific representations.
+
+For specifics on how to use multimodal models, see the [relevant how-to guides here](/docs/how_to/#multimodal).
+
+### LLMs
+
+<span data-heading-keywords="llm,llms"></span>
+
+:::caution
+Pure text-in/text-out LLMs tend to be older or lower-level. Many popular models are best used as [chat completion models](/docs/concepts/#chat-models),
+even for non-chat use cases.
+
+You are probably looking for [the section above instead](/docs/concepts/#chat-models).
+:::
+
+Language models that takes a string as input and returns a string.
+These are traditionally older models (newer models generally are [Chat Models](/docs/concepts/#chat-models), see above).
+
+Although the underlying models are string in, string out, the LangChain wrappers also allow these models to take messages as input.
+This gives them the same interface as [Chat Models](/docs/concepts/#chat-models).
+When messages are passed in as input, they will be formatted into a string under the hood before being passed to the underlying model.
+
+LangChain does not host any LLMs, rather we rely on third party integrations.
+
+For specifics on how to use LLMs, see the [relevant how-to guides here](/docs/how_to/#llms).
+
+### Message types
+
+Some language models take an array of messages as input and return a message.
+There are a few different types of messages.
+All messages have a \`role\`, \`content\`, and \`response_metadata\` property.
+
+The \`role\` describes WHO is saying the message.
+LangChain has different message classes for different roles.
+
+The \`content\` property describes the content of the message.
+This can be a few different things:
+
+- A string (most models deal this type of content)
+- A List of objects (this is used for multi-modal input, where the object contains information about that input type and that input location)
+
+#### HumanMessage
+
+This represents a message from the user.
+
+#### AIMessage
+
+This represents a message from the model. In addition to the \`content\` property, these messages also have:
+
+**\`response_metadata\`**
+
+The \`response_metadata\` property contains additional metadata about the response. The data here is often specific to each model provider.
+This is where information like log-probs and token usage may be stored.
+
+**\`tool_calls\`**
+
+These represent a decision from an language model to call a tool. They are included as part of an \`AIMessage\` output.
+They can be accessed from there with the \`.tool_calls\` property.
+
+This property returns a list of \`ToolCall\`s. A \`ToolCall\` is an object with the following arguments:
+
+- \`name\`: The name of the tool that should be called.
+- \`args\`: The arguments to that tool.
+- \`id\`: The id of that tool call.
+
+#### SystemMessage
+
+This represents a system message, which tells the model how to behave. Not every model provider supports this.
+
+#### ToolMessage
+
+This represents the result of a tool call. In addition to \`role\` and \`content\`, this message has:
+
+- a \`tool_call_id\` field which conveys the id of the call to the tool that was called to produce this result.
+- an \`artifact\` field which can be used to pass along arbitrary artifacts of the tool execution which are useful to track but which should not be sent to the model.
+
+#### (Legacy) FunctionMessage
+
+This is a legacy message type, corresponding to OpenAI's legacy function-calling API. \`ToolMessage\` should be used instead to correspond to the updated tool-calling API.
+
+This represents the result of a function call. In addition to \`role\` and \`content\`, this message has a \`name\` parameter which conveys the name of the function that was called to produce this result.
+
+### Prompt templates
+
+<span data-heading-keywords="prompt,prompttemplate,chatprompttemplate"></span>
+
+Prompt templates help to translate user input and parameters into instructions for a language model.
+This can be used to guide a model's response, helping it understand the context and generate relevant and coherent language-based output.
+
+Prompt Templates take as input an object, where each key represents a variable in the prompt template to fill in.
+
+Prompt Templates output a PromptValue. This PromptValue can be passed to an LLM or a ChatModel, and can also be cast to a string or an array of messages.
+The reason this PromptValue exists is to make it easy to switch between strings and messages.
+
+There are a few different types of prompt templates:
+
+#### String PromptTemplates
+
+These prompt templates are used to format a single string, and generally are used for simpler inputs.
+For example, a common way to construct and use a PromptTemplate is as follows:
+
+\`\`\`typescript
+import { PromptTemplate } from "@langchain/core/prompts";
+
+const promptTemplate = PromptTemplate.fromTemplate(
+  "Tell me a joke about {topic}"
+);
+
+await promptTemplate.invoke({ topic: "cats" });
+\`\`\`
+
+#### ChatPromptTemplates
+
+These prompt templates are used to format an array of messages. These "templates" consist of an array of templates themselves.
+For example, a common way to construct and use a ChatPromptTemplate is as follows:
+
+\`\`\`typescript
+import { ChatPromptTemplate } from "@langchain/core/prompts";
+
+const promptTemplate = ChatPromptTemplate.fromMessages([
+  ["system", "You are a helpful assistant"],
+  ["user", "Tell me a joke about {topic}"],
+]);
+
+await promptTemplate.invoke({ topic: "cats" });
+\`\`\`
+
+In the above example, this ChatPromptTemplate will construct two messages when called.
+The first is a system message, that has no variables to format.
+The second is a HumanMessage, and will be formatted by the \`topic\` variable the user passes in.
+
+#### MessagesPlaceholder
+
+<span data-heading-keywords="messagesplaceholder"></span>
+
+This prompt template is responsible for adding an array of messages in a particular place.
+In the above ChatPromptTemplate, we saw how we could format two messages, each one a string.
+But what if we wanted the user to pass in an array of messages that we would slot into a particular spot?
+This is how you use MessagesPlaceholder.
+
+\`\`\`typescript
+import {
+  ChatPromptTemplate,
+  MessagesPlaceholder,
+} from "@langchain/core/prompts";
+import { HumanMessage } from "@langchain/core/messages";
+
+const promptTemplate = ChatPromptTemplate.fromMessages([
+  ["system", "You are a helpful assistant"],
+  new MessagesPlaceholder("msgs"),
+]);
+
+promptTemplate.invoke({ msgs: [new HumanMessage({ content: "hi!" })] });
+\`\`\`
+
+This will produce an array of two messages, the first one being a system message, and the second one being the HumanMessage we passed in.
+If we had passed in 5 messages, then it would have produced 6 messages in total (the system message plus the 5 passed in).
+This is useful for letting an array of messages be slotted into a particular spot.
+
+An alternative way to accomplish the same thing without using the \`MessagesPlaceholder\` class explicitly is:
+
+\`\`\`typescript
+const promptTemplate = ChatPromptTemplate.fromMessages([
+  ["system", "You are a helpful assistant"],
+  ["placeholder", "{msgs}"], // <-- This is the changed part
+]);
+\`\`\`
+
+For specifics on how to use prompt templates, see the [relevant how-to guides here](/docs/how_to/#prompt-templates).
+
+### Example Selectors
+
+One common prompting technique for achieving better performance is to include examples as part of the prompt.
+This gives the language model concrete examples of how it should behave.
+Sometimes these examples are hardcoded into the prompt, but for more advanced situations it may be nice to dynamically select them.
+Example Selectors are classes responsible for selecting and then formatting examples into prompts.
+
+For specifics on how to use example selectors, see the [relevant how-to guides here](/docs/how_to/#example-selectors).
+
+### Output parsers
+
+<span data-heading-keywords="output parser"></span>
+
+:::note
+
+The information here refers to parsers that take a text output from a model try to parse it into a more structured representation.
+More and more models are supporting function (or tool) calling, which handles this automatically.
+It is recommended to use function/tool calling rather than output parsing.
+See documentation for that [here](/docs/concepts/#function-tool-calling).
+
+:::
+
+Responsible for taking the output of a model and transforming it to a more suitable format for downstream tasks.
+Useful when you are using LLMs to generate structured data, or to normalize output from chat models and LLMs.
+
+There are two main methods an output parser must implement:
+
+- "Get format instructions": A method which returns a string containing instructions for how the output of a language model should be formatted.
+- "Parse": A method which takes in a string (assumed to be the response from a language model) and parses it into some structure.
+
+And then one optional one:
+
+- "Parse with prompt": A method which takes in a string (assumed to be the response from a language model) and a prompt (assumed to be the prompt that generated such a response) and parses it into some structure. The prompt is largely provided in the event the OutputParser wants to retry or fix the output in some way, and needs information from the prompt to do so.
+
+Output parsers accept a string or \`BaseMessage\` as input and can return an arbitrary type.
+
+LangChain has many different types of output parsers. This is a list of output parsers LangChain supports. The table below has various pieces of information:
+
+**Name**: The name of the output parser
+
+**Supports Streaming**: Whether the output parser supports streaming.
+
+**Input Type**: Expected input type. Most output parsers work on both strings and messages, but some (like OpenAI Functions) need a message with specific arguments.
+
+**Output Type**: The output type of the object returned by the parser.
+
+**Description**: Our commentary on this output parser and when to use it.
+
+The current date is ${new Date().toISOString()}`;
+
+  const model = new ChatAnthropic({
+    model: "claude-3-haiku-20240307",
+    clientOptions: {
+      defaultHeaders: {
+        "anthropic-beta": "prompt-caching-2024-07-31",
+      },
+    },
+  });
+  const messages = [
+    new SystemMessage({
+      content: [
+        {
+          type: "text",
+          text: `You are a pirate. Always respond in pirate dialect.\nUse the following as context when answering questions: ${CACHED_TEXT}`,
+          cache_control: { type: "ephemeral" },
+        },
+      ],
+    }),
+    new HumanMessage({
+      content: "What types of messages are supported in LangChain?",
+    }),
+  ];
+  const res = await model.invoke(messages);
+  expect(
+    res.response_metadata.usage.cache_creation_input_tokens
+  ).toBeGreaterThan(0);
+  expect(res.response_metadata.usage.cache_read_input_tokens).toBe(0);
+  const res2 = await model.invoke(messages);
+  expect(res2.response_metadata.usage.cache_creation_input_tokens).toBe(0);
+  expect(res2.response_metadata.usage.cache_read_input_tokens).toBeGreaterThan(
+    0
+  );
+});
+
+// TODO: Add proper test with long tool content
+test.skip("tool caching", async () => {
+  const model = new ChatAnthropic({
+    model: "claude-3-haiku-20240307",
+    clientOptions: {
+      defaultHeaders: {
+        "anthropic-beta": "prompt-caching-2024-07-31",
+      },
+    },
+  }).bindTools([
+    {
+      name: "get_weather",
+      description: "Get the weather for a specific location",
+      input_schema: {
+        type: "object",
+        properties: {
+          location: {
+            type: "string",
+            description: "Location to get the weather for",
+          },
+          unit: {
+            type: "string",
+            description: "Temperature unit to return",
+          },
+        },
+        required: ["location"],
+      },
+      cache_control: { type: "ephemeral" },
+    },
+  ]);
+  const messages = [
+    new HumanMessage({
+      content: "What is the weather in Regensburg?",
+    }),
+  ];
+  const res = await model.invoke(messages);
+  console.log(res);
+  expect(
+    res.response_metadata.usage.cache_creation_input_tokens
+  ).toBeGreaterThan(0);
+  expect(res.response_metadata.usage.cache_read_input_tokens).toBe(0);
+  const res2 = await model.invoke(messages);
+  expect(res2.response_metadata.usage.cache_creation_input_tokens).toBe(0);
+  expect(res2.response_metadata.usage.cache_read_input_tokens).toBeGreaterThan(
+    0
+  );
+});

From 8dd6e48fd61973fd1521f5dae9bdb2d63c76f224 Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Thu, 15 Aug 2024 05:54:13 -0700
Subject: [PATCH 026/344] docs[patch]: Adds ChatOpenAI streamUsage docs on
 disabling stream usage (#6534)

* Adds ChatOpenAI streamUsage docs on disabling stream usage

* Fix notebook
---
 .../docs/integrations/chat/openai.ipynb       | 30 +++++++++++++++++++
 1 file changed, 30 insertions(+)

diff --git a/docs/core_docs/docs/integrations/chat/openai.ipynb b/docs/core_docs/docs/integrations/chat/openai.ipynb
index 9b832eba98ad..eb829b093865 100644
--- a/docs/core_docs/docs/integrations/chat/openai.ipynb
+++ b/docs/core_docs/docs/integrations/chat/openai.ipynb
@@ -305,6 +305,36 @@
     "await llmWithCustomHeaders.invoke(\"Hi there!\");"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "7af61d1d",
+   "metadata": {},
+   "source": [
+    "## Disabling streaming usage metadata\n",
+    "\n",
+    "Some proxies or third-party providers present largely the same API interface as OpenAI, but don't support the more recently added `stream_options` parameter to return streaming usage. You can use `ChatOpenAI` to access these providers by disabling streaming usage like this:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "0ff40bd7",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import { ChatOpenAI } from \"@langchain/openai\";\n",
+    "\n",
+    "const llmWithoutStreamUsage = new ChatOpenAI({\n",
+    "  temperature: 0.9,\n",
+    "  streamUsage: false,\n",
+    "  configuration: {\n",
+    "    baseURL: \"https://proxy.com\",\n",
+    "  },\n",
+    "});\n",
+    "\n",
+    "await llmWithoutStreamUsage.invoke(\"Hi there!\");"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "013b6300",

From b8f1c120853ab5029e4cb142eee32a5f1485e0da Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Thu, 15 Aug 2024 06:41:25 -0700
Subject: [PATCH 027/344] Fix remote runnable in browser environments (Extends
 #6529) (#6537)

* stream to streamEvents

* Fetch impl fix

* switch back

* switch back

* Fix

* Comment

---------

Co-authored-by: mcgear <michael.gearhardt@gmail.com>
Co-authored-by: Michael Gearhardt <michael.gearhardt@fathym.com>
---
 langchain-core/src/runnables/remote.ts | 7 ++++++-
 1 file changed, 6 insertions(+), 1 deletion(-)

diff --git a/langchain-core/src/runnables/remote.ts b/langchain-core/src/runnables/remote.ts
index 17df845b7472..4cae2f63d783 100644
--- a/langchain-core/src/runnables/remote.ts
+++ b/langchain-core/src/runnables/remote.ts
@@ -281,8 +281,13 @@ export class RemoteRunnable<
 
   private options?: RemoteRunnableOptions;
 
+  // Wrap the default fetch call due to issues with illegal invocations
+  // from the browser:
+  // https://stackoverflow.com/questions/69876859/why-does-bind-fix-failed-to-execute-fetch-on-window-illegal-invocation-err
   // eslint-disable-next-line @typescript-eslint/no-explicit-any
-  fetchImplementation: (...args: any[]) => any = fetch;
+  fetchImplementation: (...args: any[]) => any = (...args: any[]) =>
+    // @ts-expect-error Broad typing to support a range of fetch implementations
+    fetch(...args);
 
   // eslint-disable-next-line @typescript-eslint/no-explicit-any
   fetchRequestOptions?: Record<string, any>;

From 70545676ca9632ef88138e5c64df7c433e994bbf Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Thu, 15 Aug 2024 06:55:57 -0700
Subject: [PATCH 028/344] core[patch] Release 0.2.24 (#6538)

---
 langchain-core/package.json | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/langchain-core/package.json b/langchain-core/package.json
index 69a1058f220e..048f0bc4a143 100644
--- a/langchain-core/package.json
+++ b/langchain-core/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/core",
-  "version": "0.2.23",
+  "version": "0.2.24",
   "description": "Core LangChain.js abstractions and schemas",
   "type": "module",
   "engines": {

From d7d63c545d5bd604637f08a2ae86b71799fce144 Mon Sep 17 00:00:00 2001
From: pokutuna <mail@pokutuna.com>
Date: Fri, 16 Aug 2024 17:34:13 +0900
Subject: [PATCH 029/344] google[patch]: fix: handling multibyte characters in
 stream for google-vertexai-web (#6502)

* fix: handling multibyte characters in stream for google-vertexai-web

* fix: update import path to use .js on test
---
 .../src/tests/utils.test.ts                   | 55 +++++++++++++++++++
 .../src/utils/stream.ts                       |  4 +-
 2 files changed, 57 insertions(+), 2 deletions(-)

diff --git a/libs/langchain-google-common/src/tests/utils.test.ts b/libs/langchain-google-common/src/tests/utils.test.ts
index 84f12dca4dd0..c0398a218c67 100644
--- a/libs/langchain-google-common/src/tests/utils.test.ts
+++ b/libs/langchain-google-common/src/tests/utils.test.ts
@@ -2,6 +2,7 @@
 import { expect, test } from "@jest/globals";
 import { z } from "zod";
 import { zodToGeminiParameters } from "../utils/zod_to_gemini_parameters.js";
+import { ReadableJsonStream } from "../utils/stream.js";
 
 test("zodToGeminiParameters can convert zod schema to gemini schema", () => {
   const zodSchema = z
@@ -80,3 +81,57 @@ test("zodToGeminiParameters removes additional properties from arrays", () => {
     expect((arrayItemsSchema as any).additionalProperties).toBeUndefined();
   }
 });
+
+function toUint8Array(data: string): Uint8Array {
+  return new TextEncoder().encode(data);
+}
+
+test("ReadableJsonStream can handle stream", async () => {
+  const data = [
+    toUint8Array("["),
+    toUint8Array('{"i": 1}'),
+    toUint8Array('{"i'),
+    toUint8Array('": 2}'),
+    toUint8Array("]"),
+  ];
+
+  const source = new ReadableStream({
+    start(controller) {
+      data.forEach((chunk) => controller.enqueue(chunk));
+      controller.close();
+    },
+  });
+  const stream = new ReadableJsonStream(source);
+  expect(await stream.nextChunk()).toEqual({ i: 1 });
+  expect(await stream.nextChunk()).toEqual({ i: 2 });
+  expect(await stream.nextChunk()).toBeNull();
+  expect(stream.streamDone).toEqual(true);
+});
+
+test("ReadableJsonStream can handle multibyte stream", async () => {
+  const data = [
+    toUint8Array("["),
+    toUint8Array('{"i": 1, "msg":"hello👋"}'),
+    toUint8Array('{"i": 2,'),
+    toUint8Array('"msg":"こん'),
+    new Uint8Array([0xe3]), // 1st byte of "に"
+    new Uint8Array([0x81, 0xab]), // 2-3rd bytes of "に"
+    toUint8Array("ちは"),
+    new Uint8Array([0xf0, 0x9f]), // first half bytes of "👋"
+    new Uint8Array([0x91, 0x8b]), // second half bytes of "👋"
+    toUint8Array('"}'),
+    toUint8Array("]"),
+  ];
+
+  const source = new ReadableStream({
+    start(controller) {
+      data.forEach((chunk) => controller.enqueue(chunk));
+      controller.close();
+    },
+  });
+  const stream = new ReadableJsonStream(source);
+  expect(await stream.nextChunk()).toEqual({ i: 1, msg: "hello👋" });
+  expect(await stream.nextChunk()).toEqual({ i: 2, msg: "こんにちは👋" });
+  expect(await stream.nextChunk()).toBeNull();
+  expect(stream.streamDone).toEqual(true);
+});
diff --git a/libs/langchain-google-common/src/utils/stream.ts b/libs/langchain-google-common/src/utils/stream.ts
index 63ba44edbd4e..226ac49dca10 100644
--- a/libs/langchain-google-common/src/utils/stream.ts
+++ b/libs/langchain-google-common/src/utils/stream.ts
@@ -252,7 +252,7 @@ export class ReadableJsonStream extends JsonStream {
 
   constructor(body: ReadableStream | null) {
     super();
-    this.decoder = new TextDecoder();
+    this.decoder = new TextDecoder("utf-8");
     if (body) {
       void this.run(body);
     } else {
@@ -266,7 +266,7 @@ export class ReadableJsonStream extends JsonStream {
     while (!isDone) {
       const { value, done } = await reader.read();
       if (!done) {
-        const svalue = this.decoder.decode(value);
+        const svalue = this.decoder.decode(value, { stream: true });
         this.appendBuffer(svalue);
       } else {
         isDone = done;

From a41600d35dac73e2cbc7cac016c04ccd1bcd6ed0 Mon Sep 17 00:00:00 2001
From: Brace Sproul <braceasproul@gmail.com>
Date: Fri, 16 Aug 2024 01:37:29 -0700
Subject: [PATCH 030/344] community[patch]: Relax googleapis peer dep to *
 (#6542)

---
 libs/langchain-community/package.json | 2 +-
 yarn.lock                             | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/libs/langchain-community/package.json b/libs/langchain-community/package.json
index a958154dffaf..e53903cef844 100644
--- a/libs/langchain-community/package.json
+++ b/libs/langchain-community/package.json
@@ -293,7 +293,7 @@
     "faiss-node": "^0.5.1",
     "firebase-admin": "^11.9.0 || ^12.0.0",
     "google-auth-library": "*",
-    "googleapis": "^126.0.1",
+    "googleapis": "*",
     "hnswlib-node": "^3.0.0",
     "html-to-text": "^9.0.5",
     "ignore": "^5.2.0",
diff --git a/yarn.lock b/yarn.lock
index 232e9bc34685..3e2b408787d1 100644
--- a/yarn.lock
+++ b/yarn.lock
@@ -11403,7 +11403,7 @@ __metadata:
     faiss-node: ^0.5.1
     firebase-admin: ^11.9.0 || ^12.0.0
     google-auth-library: "*"
-    googleapis: ^126.0.1
+    googleapis: "*"
     hnswlib-node: ^3.0.0
     html-to-text: ^9.0.5
     ignore: ^5.2.0

From 54fbebd34e193a06d2ae0c0a3574168cfe3420c3 Mon Sep 17 00:00:00 2001
From: Peter Lisy <peto.lisy@gmail.com>
Date: Fri, 16 Aug 2024 01:37:54 -0700
Subject: [PATCH 031/344] Fix(aws): Use abort signal when available with SDK
 requests (#6540)

Co-authored-by: Peter Lisy <plisy@amazon.com>
---
 libs/langchain-aws/src/chat_models.ts | 8 ++++++--
 1 file changed, 6 insertions(+), 2 deletions(-)

diff --git a/libs/langchain-aws/src/chat_models.ts b/libs/langchain-aws/src/chat_models.ts
index 8de6af7712a9..ee0a4fcc6634 100644
--- a/libs/langchain-aws/src/chat_models.ts
+++ b/libs/langchain-aws/src/chat_models.ts
@@ -817,7 +817,9 @@ export class ChatBedrockConverse
       system: converseSystem,
       ...params,
     });
-    const response = await this.client.send(command);
+    const response = await this.client.send(command, {
+      abortSignal: options.signal,
+    });
     const { output, ...responseMetadata } = response;
     if (!output?.message) {
       throw new Error("No message found in Bedrock response.");
@@ -855,7 +857,9 @@ export class ChatBedrockConverse
       system: converseSystem,
       ...params,
     });
-    const response = await this.client.send(command);
+    const response = await this.client.send(command, {
+      abortSignal: options.signal,
+    });
     if (response.stream) {
       for await (const chunk of response.stream) {
         if (chunk.contentBlockStart) {

From f1b7ad74f91d6a199b0b0981be3f2fe362a67b93 Mon Sep 17 00:00:00 2001
From: choeller <christoph.hoeller@googlemail.com>
Date: Fri, 16 Aug 2024 11:02:52 +0200
Subject: [PATCH 032/344] =?UTF-8?q?community[patch]:=20fix:=20ElasticVecto?=
 =?UTF-8?q?rSearch:=20exclude=20metadata=20filters=20=E2=80=A6=20(#6536)?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

* community[patch]: fix: ElasticVectorSearch: exclude metadata filters not working due to syntax error in filter creation

* Adds integration test

---------

Co-authored-by: Christoph Höller <christoph.hoeller@redbull.com>
Co-authored-by: jacoblee93 <jacoblee93@gmail.com>
---
 .../langchain-community/src/vectorstores/elasticsearch.ts | 2 +-
 .../src/vectorstores/tests/elasticsearch.int.test.ts      | 8 ++++++++
 2 files changed, 9 insertions(+), 1 deletion(-)

diff --git a/libs/langchain-community/src/vectorstores/elasticsearch.ts b/libs/langchain-community/src/vectorstores/elasticsearch.ts
index 81f480c3f1fc..14a4ee12ac03 100644
--- a/libs/langchain-community/src/vectorstores/elasticsearch.ts
+++ b/libs/langchain-community/src/vectorstores/elasticsearch.ts
@@ -344,7 +344,7 @@ export class ElasticVectorSearch extends VectorStore {
         });
       } else if (condition.operator === "exclude") {
         must_not.push({
-          terms: {
+          term: {
             [metadataField]: condition.value,
           },
         });
diff --git a/libs/langchain-community/src/vectorstores/tests/elasticsearch.int.test.ts b/libs/langchain-community/src/vectorstores/tests/elasticsearch.int.test.ts
index cc22163c7763..08ec39ac0f57 100644
--- a/libs/langchain-community/src/vectorstores/tests/elasticsearch.int.test.ts
+++ b/libs/langchain-community/src/vectorstores/tests/elasticsearch.int.test.ts
@@ -106,6 +106,14 @@ describe("ElasticVectorSearch", () => {
     ]);
     const results = await store.similaritySearch("*", 11);
     expect(results).toHaveLength(11);
+    const results2 = await store.similaritySearch("*", 11, [
+      {
+        field: "a",
+        value: createdAt,
+        operator: "exclude",
+      },
+    ]);
+    expect(results2).toHaveLength(1);
   });
 
   test.skip("ElasticVectorSearch integration with text splitting metadata", async () => {

From d7373868b9c1c7f52c747d0b47141ce4f7a92e14 Mon Sep 17 00:00:00 2001
From: Kousha Talebian <kousha.talebian@gmail.com>
Date: Fri, 16 Aug 2024 02:03:02 -0700
Subject: [PATCH 033/344] community[patch]: bugfix: Unstructured empty text
 (#6532)

* check for empty text

* add missing options for unstructured

* Format

---------

Co-authored-by: jacoblee93 <jacoblee93@gmail.com>
---
 .../src/document_loaders/fs/unstructured.ts    | 18 +++++++++++++++++-
 1 file changed, 17 insertions(+), 1 deletion(-)

diff --git a/libs/langchain-community/src/document_loaders/fs/unstructured.ts b/libs/langchain-community/src/document_loaders/fs/unstructured.ts
index 48915c89fdc5..2a9bc3271b10 100644
--- a/libs/langchain-community/src/document_loaders/fs/unstructured.ts
+++ b/libs/langchain-community/src/document_loaders/fs/unstructured.ts
@@ -114,6 +114,8 @@ export type UnstructuredLoaderOptions = {
   newAfterNChars?: number;
   maxCharacters?: number;
   extractImageBlockTypes?: string[];
+  overlap?: number;
+  overlapAll?: boolean;
 };
 
 export type UnstructuredDirectoryLoaderOptions = UnstructuredLoaderOptions & {
@@ -181,6 +183,10 @@ export class UnstructuredLoader extends BaseDocumentLoader {
 
   private extractImageBlockTypes?: string[];
 
+  private overlap?: number;
+
+  private overlapAll?: boolean;
+
   constructor(
     filepathOrBufferOptions: string | UnstructuredMemoryLoaderOptions,
     unstructuredOptions: UnstructuredLoaderOptions | string = {}
@@ -225,6 +231,8 @@ export class UnstructuredLoader extends BaseDocumentLoader {
       this.newAfterNChars = options.newAfterNChars;
       this.maxCharacters = options.maxCharacters;
       this.extractImageBlockTypes = options.extractImageBlockTypes;
+      this.overlap = options.overlap;
+      this.overlapAll = options.overlapAll ?? false;
     }
   }
 
@@ -299,6 +307,14 @@ export class UnstructuredLoader extends BaseDocumentLoader {
       );
     }
 
+    if (this.overlap !== undefined) {
+      formData.append("overlap", String(this.overlap));
+    }
+
+    if (this.overlapAll === true) {
+      formData.append("overlap_all", "true");
+    }
+
     const headers = {
       "UNSTRUCTURED-API-KEY": this.apiKey ?? "",
     };
@@ -332,7 +348,7 @@ export class UnstructuredLoader extends BaseDocumentLoader {
     const documents: Document[] = [];
     for (const element of elements) {
       const { metadata, text } = element;
-      if (typeof text === "string") {
+      if (typeof text === "string" && text !== "") {
         documents.push(
           new Document({
             pageContent: text,

From 64226da5a578757f2806c3e0235d812a6866ff14 Mon Sep 17 00:00:00 2001
From: nick-w-nick <43578531+nick-w-nick@users.noreply.github.com>
Date: Fri, 16 Aug 2024 05:39:19 -0400
Subject: [PATCH 034/344] pinecone[patch]: Fix document ID not getting set when
 returned from PineconeStore (#6539)

* added _formatMatches privatemethod

* updated similaritySearchVectorWithScore to use _formatMatches

* updated maxMarginalRelevanceSearch to use _formatMatches

* Add integration test

---------

Co-authored-by: jacoblee93 <jacoblee93@gmail.com>
---
 .../src/tests/vectorstores.int.test.ts        | 60 ++++++++++++-----
 libs/langchain-pinecone/src/vectorstores.ts   | 66 ++++++++++++-------
 2 files changed, 83 insertions(+), 43 deletions(-)

diff --git a/libs/langchain-pinecone/src/tests/vectorstores.int.test.ts b/libs/langchain-pinecone/src/tests/vectorstores.int.test.ts
index b4cb28c50b05..074dccae9004 100644
--- a/libs/langchain-pinecone/src/tests/vectorstores.int.test.ts
+++ b/libs/langchain-pinecone/src/tests/vectorstores.int.test.ts
@@ -1,6 +1,7 @@
 /* eslint-disable no-process-env */
 /* eslint-disable @typescript-eslint/no-non-null-assertion */
 /* eslint-disable no-promise-executor-return */
+/* eslint-disable @typescript-eslint/no-explicit-any */
 import { describe, expect, test } from "@jest/globals";
 import { faker } from "@faker-js/faker";
 import { Pinecone } from "@pinecone-database/pinecone";
@@ -9,12 +10,14 @@ import { SyntheticEmbeddings } from "@langchain/core/utils/testing";
 import { Document } from "@langchain/core/documents";
 import { PineconeStoreParams, PineconeStore } from "../vectorstores.js";
 
+const PINECONE_SLEEP_LENGTH = 40000;
+
 function sleep(ms: number) {
   // eslint-disable-next-line no-promise-executor-return
   return new Promise((resolve) => setTimeout(resolve, ms));
 }
 
-describe.skip("PineconeStore", () => {
+describe("PineconeStore", () => {
   let pineconeStore: PineconeStore;
   const testIndexName = process.env.PINECONE_INDEX!;
   let namespaces: string[] = [];
@@ -57,22 +60,29 @@ describe.skip("PineconeStore", () => {
       [{ pageContent, metadata: {} }],
       [documentId]
     );
-    await sleep(35000);
+
+    await sleep(PINECONE_SLEEP_LENGTH);
 
     const results = await pineconeStore.similaritySearch(pageContent, 1);
 
-    expect(results).toEqual([new Document({ metadata: {}, pageContent })]);
+    expect(results).toEqual([
+      new Document({ metadata: {}, pageContent, id: documentId }),
+    ]);
 
     await pineconeStore.addDocuments(
       [{ pageContent: `${pageContent} upserted`, metadata: {} }],
       [documentId]
     );
-    await sleep(35000);
+    await sleep(PINECONE_SLEEP_LENGTH);
 
     const results2 = await pineconeStore.similaritySearch(pageContent, 1);
 
     expect(results2).toEqual([
-      new Document({ metadata: {}, pageContent: `${pageContent} upserted` }),
+      new Document({
+        metadata: {},
+        pageContent: `${pageContent} upserted`,
+        id: documentId,
+      }),
     ]);
   });
 
@@ -83,11 +93,15 @@ describe.skip("PineconeStore", () => {
       { pageContent, metadata: { foo: "bar" } },
     ]);
 
-    await sleep(35000);
+    await sleep(PINECONE_SLEEP_LENGTH);
     const results = await pineconeStore.similaritySearch(pageContent, 1);
 
     expect(results).toEqual([
-      new Document({ metadata: { foo: "bar" }, pageContent }),
+      new Document({
+        metadata: { foo: "bar" },
+        pageContent,
+        id: expect.any(String) as any,
+      }),
     ]);
   });
 
@@ -100,14 +114,18 @@ describe.skip("PineconeStore", () => {
       { pageContent, metadata: { foo: id } },
       { pageContent, metadata: { foo: "qux" } },
     ]);
-    await sleep(35000);
+    await sleep(PINECONE_SLEEP_LENGTH);
     // If the filter wasn't working, we'd get all 3 documents back
     const results = await pineconeStore.similaritySearch(pageContent, 3, {
       foo: id,
     });
 
     expect(results).toEqual([
-      new Document({ metadata: { foo: id }, pageContent }),
+      new Document({
+        metadata: { foo: id },
+        pageContent,
+        id: expect.any(String) as any,
+      }),
     ]);
   });
 
@@ -120,7 +138,7 @@ describe.skip("PineconeStore", () => {
       { pageContent, metadata: { foo: id } },
       { pageContent, metadata: { foo: id } },
     ]);
-    await sleep(35000);
+    await sleep(PINECONE_SLEEP_LENGTH);
     // If the filter wasn't working, we'd get all 3 documents back
     const results = await pineconeStore.maxMarginalRelevanceSearch(
       pageContent,
@@ -142,7 +160,7 @@ describe.skip("PineconeStore", () => {
       { pageContent, metadata: { foo: id } },
       { pageContent, metadata: { foo: id } },
     ]);
-    await sleep(35000);
+    await sleep(PINECONE_SLEEP_LENGTH);
     const results = await pineconeStore.similaritySearch(pageContent, 2, {
       foo: id,
     });
@@ -174,7 +192,7 @@ describe.skip("PineconeStore", () => {
         ids: [id, id2],
       }
     );
-    await sleep(40000);
+    await sleep(PINECONE_SLEEP_LENGTH);
     const indexStats = await pineconeStore.pineconeIndex.describeIndexStats();
     expect(indexStats.namespaces).toHaveProperty("");
     expect(indexStats.namespaces?.[""].recordCount).toEqual(2);
@@ -184,7 +202,7 @@ describe.skip("PineconeStore", () => {
     await pineconeStore.delete({
       deleteAll: true,
     });
-    await sleep(40000);
+    await sleep(PINECONE_SLEEP_LENGTH);
     const indexStats2 = await pineconeStore.pineconeIndex.describeIndexStats();
     expect(indexStats2.namespaces).not.toHaveProperty("");
     // The new total records should be less than the previous total records
@@ -209,7 +227,7 @@ describe.skip("PineconeStore", () => {
         namespace: namespaces[1],
       }
     );
-    await sleep(35000);
+    await sleep(PINECONE_SLEEP_LENGTH);
     const results = await pineconeStore.similaritySearch(pageContent, 1, {
       namespace: namespaces[0],
     });
@@ -234,22 +252,28 @@ describe.skip("PineconeStore", () => {
     });
 
     await store.addDocuments([{ pageContent, metadata: {} }], [documentId]);
-    await sleep(35000);
+    await sleep(PINECONE_SLEEP_LENGTH);
 
     const results = await store.similaritySearch(pageContent, 1);
 
-    expect(results).toEqual([new Document({ metadata: {}, pageContent })]);
+    expect(results).toEqual([
+      new Document({ metadata: {}, pageContent, id: documentId }),
+    ]);
 
     await store.addDocuments(
       [{ pageContent: `${pageContent} upserted`, metadata: {} }],
       [documentId]
     );
-    await sleep(35000);
+    await sleep(PINECONE_SLEEP_LENGTH);
 
     const results2 = await store.similaritySearch(pageContent, 1);
 
     expect(results2).toEqual([
-      new Document({ metadata: {}, pageContent: `${pageContent} upserted` }),
+      new Document({
+        metadata: {},
+        pageContent: `${pageContent} upserted`,
+        id: documentId,
+      }),
     ]);
   });
 });
diff --git a/libs/langchain-pinecone/src/vectorstores.ts b/libs/langchain-pinecone/src/vectorstores.ts
index 3a99dbceb057..2228d2456744 100644
--- a/libs/langchain-pinecone/src/vectorstores.ts
+++ b/libs/langchain-pinecone/src/vectorstores.ts
@@ -5,6 +5,7 @@ import {
   RecordMetadata,
   PineconeRecord,
   Index as PineconeIndex,
+  ScoredPineconeRecord,
 } from "@pinecone-database/pinecone";
 
 import type { EmbeddingsInterface } from "@langchain/core/embeddings";
@@ -401,6 +402,40 @@ export class PineconeStore extends VectorStore {
     return results;
   }
 
+  /**
+   * Format the matching results from the Pinecone query.
+   * @param matches Matching results from the Pinecone query.
+   * @returns An array of arrays, where each inner array contains a document and its score.
+   */
+  private _formatMatches(
+    matches: ScoredPineconeRecord<RecordMetadata>[] = []
+  ): [Document, number][] {
+    const documentsWithScores: [Document, number][] = [];
+
+    for (const record of matches) {
+      const {
+        id,
+        score,
+        metadata: { [this.textKey]: pageContent, ...metadata } = {
+          [this.textKey]: "",
+        },
+      } = record;
+
+      if (score) {
+        documentsWithScores.push([
+          new Document({
+            id,
+            pageContent: pageContent.toString(),
+            metadata,
+          }),
+          score,
+        ]);
+      }
+    }
+
+    return documentsWithScores;
+  }
+
   /**
    * Method that performs a similarity search in the Pinecone database and
    * returns the results along with their scores.
@@ -414,20 +449,10 @@ export class PineconeStore extends VectorStore {
     k: number,
     filter?: PineconeMetadata
   ): Promise<[Document, number][]> {
-    const results = await this._runPineconeQuery(query, k, filter);
-    const result: [Document, number][] = [];
-
-    if (results.matches) {
-      for (const res of results.matches) {
-        const { [this.textKey]: pageContent, ...metadata } = (res.metadata ??
-          {}) as PineconeMetadata;
-        if (res.score) {
-          result.push([new Document({ metadata, pageContent }), res.score]);
-        }
-      }
-    }
+    const { matches = [] } = await this._runPineconeQuery(query, k, filter);
+    const records = this._formatMatches(matches);
 
-    return result;
+    return records;
   }
 
   /**
@@ -457,7 +482,7 @@ export class PineconeStore extends VectorStore {
       { includeValues: true }
     );
 
-    const matches = results?.matches ?? [];
+    const { matches = [] } = results;
     const embeddingList = matches.map((match) => match.values);
 
     const mmrIndexes = maximalMarginalRelevance(
@@ -468,17 +493,8 @@ export class PineconeStore extends VectorStore {
     );
 
     const topMmrMatches = mmrIndexes.map((idx) => matches[idx]);
-
-    const finalResult: Document[] = [];
-    for (const res of topMmrMatches) {
-      const { [this.textKey]: pageContent, ...metadata } = (res.metadata ??
-        {}) as PineconeMetadata;
-      if (res.score) {
-        finalResult.push(new Document({ metadata, pageContent }));
-      }
-    }
-
-    return finalResult;
+    const records = this._formatMatches(topMmrMatches);
+    return records.map(([doc, _score]) => doc);
   }
 
   /**

From 3eae00260982cf90c5dbc5e3fa08b2a194284efd Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Fri, 16 Aug 2024 02:49:10 -0700
Subject: [PATCH 035/344] community[patch]: Release 0.2.28 (#6543)

---
 libs/langchain-community/package.json | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/libs/langchain-community/package.json b/libs/langchain-community/package.json
index e53903cef844..87b03e431e17 100644
--- a/libs/langchain-community/package.json
+++ b/libs/langchain-community/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/community",
-  "version": "0.2.27",
+  "version": "0.2.28",
   "description": "Third-party integrations for LangChain.js",
   "type": "module",
   "engines": {

From 3c325258d54fde829c190ce5781aeaf064512155 Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Fri, 16 Aug 2024 02:53:18 -0700
Subject: [PATCH 036/344] aws[patch]: Release 0.0.10 (#6544)

---
 libs/langchain-aws/package.json | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/libs/langchain-aws/package.json b/libs/langchain-aws/package.json
index a82182b6f3a4..dcca5722d2c6 100644
--- a/libs/langchain-aws/package.json
+++ b/libs/langchain-aws/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/aws",
-  "version": "0.0.9",
+  "version": "0.0.10",
   "description": "LangChain AWS integration",
   "type": "module",
   "engines": {

From bbf506285532661fa4c17b900ea00660c6711662 Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Fri, 16 Aug 2024 02:56:42 -0700
Subject: [PATCH 037/344] pinecone[patch]: Release 0.0.9 (#6545)

---
 libs/langchain-pinecone/package.json | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/libs/langchain-pinecone/package.json b/libs/langchain-pinecone/package.json
index a6590d755e13..6fc4037b6e6f 100644
--- a/libs/langchain-pinecone/package.json
+++ b/libs/langchain-pinecone/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/pinecone",
-  "version": "0.0.8",
+  "version": "0.0.9",
   "description": "LangChain integration for Pinecone's vector database",
   "type": "module",
   "engines": {

From 5e96b858415e8bc41d7594c0e2ddfa13c63de449 Mon Sep 17 00:00:00 2001
From: Tri Rahmat Gunadi <jujiyangasli@gmail.com>
Date: Fri, 16 Aug 2024 16:58:04 +0700
Subject: [PATCH 038/344] google-genai[minor]: Add support for json output
 (#6519)

* support json output for google-genai

* Apply suggestions from code review

* Add test

---------

Co-authored-by: juji <him@jujiyangasli.com>
Co-authored-by: Brace Sproul <braceasproul@gmail.com>
Co-authored-by: jacoblee93 <jacoblee93@gmail.com>
---
 .../langchain-google-genai/src/chat_models.ts | 10 ++++++++++
 .../src/tests/chat_models.int.test.ts         | 19 +++++++++++++++++++
 2 files changed, 29 insertions(+)

diff --git a/libs/langchain-google-genai/src/chat_models.ts b/libs/langchain-google-genai/src/chat_models.ts
index ddd407df6031..197febd63bbb 100644
--- a/libs/langchain-google-genai/src/chat_models.ts
+++ b/libs/langchain-google-genai/src/chat_models.ts
@@ -75,6 +75,8 @@ export interface GoogleGenerativeAIChatInput
   extends BaseChatModelParams,
     Pick<GoogleGenerativeAIChatCallOptions, "streamUsage"> {
   /**
+   * @deprecated Use "model" instead.
+   *
    * Model Name to use
    *
    * Alias for `model`
@@ -167,6 +169,13 @@ export interface GoogleGenerativeAIChatInput
 
   /** Whether to stream the results or not */
   streaming?: boolean;
+
+  /**
+   * Whether or not to force the model to respond with JSON.
+   * Available for `gemini-1.5` models and later.
+   * @default false
+   */
+  json?: boolean;
 }
 
 /**
@@ -321,6 +330,7 @@ export class ChatGoogleGenerativeAI
           temperature: this.temperature,
           topP: this.topP,
           topK: this.topK,
+          ...(fields?.json ? { responseMimeType: "application/json" } : {}),
         },
       },
       {
diff --git a/libs/langchain-google-genai/src/tests/chat_models.int.test.ts b/libs/langchain-google-genai/src/tests/chat_models.int.test.ts
index 4e4791495759..ddf5aee6bfc7 100644
--- a/libs/langchain-google-genai/src/tests/chat_models.int.test.ts
+++ b/libs/langchain-google-genai/src/tests/chat_models.int.test.ts
@@ -519,3 +519,22 @@ test("Invoke token count usage_metadata", async () => {
     res.usage_metadata.input_tokens + res.usage_metadata.output_tokens
   );
 });
+
+test("Invoke with JSON mode", async () => {
+  const model = new ChatGoogleGenerativeAI({
+    model: "gemini-1.5-flash",
+    temperature: 0,
+    maxOutputTokens: 10,
+    json: true,
+  });
+  const res = await model.invoke("Why is the sky blue? Be concise.");
+  expect(res?.usage_metadata).toBeDefined();
+  if (!res?.usage_metadata) {
+    return;
+  }
+  expect(res.usage_metadata.input_tokens).toBeGreaterThan(1);
+  expect(res.usage_metadata.output_tokens).toBeGreaterThan(1);
+  expect(res.usage_metadata.total_tokens).toBe(
+    res.usage_metadata.input_tokens + res.usage_metadata.output_tokens
+  );
+});

From f842109fdc6013e876138a9d24c349792f0d3b29 Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Fri, 16 Aug 2024 03:04:00 -0700
Subject: [PATCH 039/344] Bump Google package versions (#6546)

---
 libs/langchain-google-common/package.json     |  2 +-
 libs/langchain-google-gauth/package.json      |  4 +--
 .../package.json                              |  4 +--
 libs/langchain-google-vertexai/package.json   |  4 +--
 libs/langchain-google-webauth/package.json    |  4 +--
 yarn.lock                                     | 26 +++++++++++++------
 6 files changed, 27 insertions(+), 17 deletions(-)

diff --git a/libs/langchain-google-common/package.json b/libs/langchain-google-common/package.json
index 567fe51b5efb..fca557792abf 100644
--- a/libs/langchain-google-common/package.json
+++ b/libs/langchain-google-common/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/google-common",
-  "version": "0.0.25",
+  "version": "0.0.26",
   "description": "Core types and classes for Google services.",
   "type": "module",
   "engines": {
diff --git a/libs/langchain-google-gauth/package.json b/libs/langchain-google-gauth/package.json
index da8acef40b88..3ad08757808b 100644
--- a/libs/langchain-google-gauth/package.json
+++ b/libs/langchain-google-gauth/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/google-gauth",
-  "version": "0.0.25",
+  "version": "0.0.26",
   "description": "Google auth based authentication support for Google services",
   "type": "module",
   "engines": {
@@ -36,7 +36,7 @@
   "license": "MIT",
   "dependencies": {
     "@langchain/core": ">=0.2.21 <0.3.0",
-    "@langchain/google-common": "~0.0.25",
+    "@langchain/google-common": "~0.0.26",
     "google-auth-library": "^8.9.0"
   },
   "devDependencies": {
diff --git a/libs/langchain-google-vertexai-web/package.json b/libs/langchain-google-vertexai-web/package.json
index b9000bfbc7ca..d5b5d3b3f29f 100644
--- a/libs/langchain-google-vertexai-web/package.json
+++ b/libs/langchain-google-vertexai-web/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/google-vertexai-web",
-  "version": "0.0.25",
+  "version": "0.0.26",
   "description": "LangChain.js support for Google Vertex AI Web",
   "type": "module",
   "engines": {
@@ -41,7 +41,7 @@
   "license": "MIT",
   "dependencies": {
     "@langchain/core": ">=0.2.21 <0.3.0",
-    "@langchain/google-webauth": "~0.0.25"
+    "@langchain/google-webauth": "~0.0.26"
   },
   "devDependencies": {
     "@jest/globals": "^29.5.0",
diff --git a/libs/langchain-google-vertexai/package.json b/libs/langchain-google-vertexai/package.json
index e1ac98e021d4..5b5631332d53 100644
--- a/libs/langchain-google-vertexai/package.json
+++ b/libs/langchain-google-vertexai/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/google-vertexai",
-  "version": "0.0.25",
+  "version": "0.0.26",
   "description": "LangChain.js support for Google Vertex AI",
   "type": "module",
   "engines": {
@@ -44,7 +44,7 @@
   "license": "MIT",
   "dependencies": {
     "@langchain/core": ">=0.2.21 <0.3.0",
-    "@langchain/google-gauth": "~0.0.25"
+    "@langchain/google-gauth": "~0.0.26"
   },
   "devDependencies": {
     "@jest/globals": "^29.5.0",
diff --git a/libs/langchain-google-webauth/package.json b/libs/langchain-google-webauth/package.json
index 316de548ce44..775cd60184c8 100644
--- a/libs/langchain-google-webauth/package.json
+++ b/libs/langchain-google-webauth/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/google-webauth",
-  "version": "0.0.25",
+  "version": "0.0.26",
   "description": "Web-based authentication support for Google services",
   "type": "module",
   "engines": {
@@ -41,7 +41,7 @@
   "license": "MIT",
   "dependencies": {
     "@langchain/core": ">=0.2.21 <0.3.0",
-    "@langchain/google-common": "~0.0.25",
+    "@langchain/google-common": "~0.0.26",
     "web-auth-library": "^1.0.3"
   },
   "devDependencies": {
diff --git a/yarn.lock b/yarn.lock
index 3e2b408787d1..cbb711aa6478 100644
--- a/yarn.lock
+++ b/yarn.lock
@@ -11760,7 +11760,7 @@ __metadata:
   languageName: unknown
   linkType: soft
 
-"@langchain/google-common@workspace:*, @langchain/google-common@workspace:libs/langchain-google-common, @langchain/google-common@~0.0, @langchain/google-common@~0.0.25":
+"@langchain/google-common@workspace:*, @langchain/google-common@workspace:libs/langchain-google-common, @langchain/google-common@~0.0, @langchain/google-common@~0.0.26":
   version: 0.0.0-use.local
   resolution: "@langchain/google-common@workspace:libs/langchain-google-common"
   dependencies:
@@ -11793,13 +11793,13 @@ __metadata:
   languageName: unknown
   linkType: soft
 
-"@langchain/google-gauth@workspace:libs/langchain-google-gauth, @langchain/google-gauth@~0.0.25":
+"@langchain/google-gauth@workspace:libs/langchain-google-gauth, @langchain/google-gauth@~0.0.25, @langchain/google-gauth@~0.0.26":
   version: 0.0.0-use.local
   resolution: "@langchain/google-gauth@workspace:libs/langchain-google-gauth"
   dependencies:
     "@jest/globals": ^29.5.0
     "@langchain/core": ">=0.2.21 <0.3.0"
-    "@langchain/google-common": ~0.0.25
+    "@langchain/google-common": ~0.0.26
     "@langchain/scripts": ~0.0.20
     "@swc/core": ^1.3.90
     "@swc/jest": ^0.2.29
@@ -11867,7 +11867,7 @@ __metadata:
   dependencies:
     "@jest/globals": ^29.5.0
     "@langchain/core": ">=0.2.21 <0.3.0"
-    "@langchain/google-webauth": ~0.0.25
+    "@langchain/google-webauth": ~0.0.26
     "@langchain/scripts": ~0.0.20
     "@swc/core": ^1.3.90
     "@swc/jest": ^0.2.29
@@ -11893,14 +11893,24 @@ __metadata:
   languageName: unknown
   linkType: soft
 
-"@langchain/google-vertexai@^0.0.25, @langchain/google-vertexai@workspace:*, @langchain/google-vertexai@workspace:libs/langchain-google-vertexai":
+"@langchain/google-vertexai@npm:^0.0.25":
+  version: 0.0.25
+  resolution: "@langchain/google-vertexai@npm:0.0.25"
+  dependencies:
+    "@langchain/core": ">=0.2.21 <0.3.0"
+    "@langchain/google-gauth": ~0.0.25
+  checksum: 8ffc55b8d7a797277780cdab1851db606889e1063420c6a01f95b2c9b98f8a5708250c55bb25a8fb74b2052b4b83c8a63283f9a4c0ba769f86bacfcab22b3f50
+  languageName: node
+  linkType: hard
+
+"@langchain/google-vertexai@workspace:*, @langchain/google-vertexai@workspace:libs/langchain-google-vertexai":
   version: 0.0.0-use.local
   resolution: "@langchain/google-vertexai@workspace:libs/langchain-google-vertexai"
   dependencies:
     "@jest/globals": ^29.5.0
     "@langchain/core": ">=0.2.21 <0.3.0"
     "@langchain/google-common": ~0.0
-    "@langchain/google-gauth": ~0.0.25
+    "@langchain/google-gauth": ~0.0.26
     "@langchain/scripts": ~0.0.20
     "@langchain/standard-tests": 0.0.0
     "@swc/core": ^1.3.90
@@ -11927,13 +11937,13 @@ __metadata:
   languageName: unknown
   linkType: soft
 
-"@langchain/google-webauth@workspace:libs/langchain-google-webauth, @langchain/google-webauth@~0.0.25":
+"@langchain/google-webauth@workspace:libs/langchain-google-webauth, @langchain/google-webauth@~0.0.26":
   version: 0.0.0-use.local
   resolution: "@langchain/google-webauth@workspace:libs/langchain-google-webauth"
   dependencies:
     "@jest/globals": ^29.5.0
     "@langchain/core": ">=0.2.21 <0.3.0"
-    "@langchain/google-common": ~0.0.25
+    "@langchain/google-common": ~0.0.26
     "@langchain/scripts": ~0.0.20
     "@swc/core": ^1.3.90
     "@swc/jest": ^0.2.29

From a4cf3332bf093b26b5912cae0c51984c305e1f46 Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Fri, 16 Aug 2024 03:06:39 -0700
Subject: [PATCH 040/344] google-genai[patch]: Release 0.0.26 (#6547)

---
 libs/langchain-google-genai/package.json | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/libs/langchain-google-genai/package.json b/libs/langchain-google-genai/package.json
index 64cf3fda7e7b..ecafca892bd1 100644
--- a/libs/langchain-google-genai/package.json
+++ b/libs/langchain-google-genai/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/google-genai",
-  "version": "0.0.25",
+  "version": "0.0.26",
   "description": "Google Generative AI integration for LangChain.js",
   "type": "module",
   "engines": {

From f730d5e8e8f0a50bba8e65d3d9385a69ad8510fc Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Fri, 16 Aug 2024 03:08:53 -0700
Subject: [PATCH 041/344] Update lock (#6548)

---
 yarn.lock | 13 ++++++++++++-
 1 file changed, 12 insertions(+), 1 deletion(-)

diff --git a/yarn.lock b/yarn.lock
index cbb711aa6478..cba13982d844 100644
--- a/yarn.lock
+++ b/yarn.lock
@@ -11826,7 +11826,18 @@ __metadata:
   languageName: unknown
   linkType: soft
 
-"@langchain/google-genai@^0.0.25, @langchain/google-genai@workspace:*, @langchain/google-genai@workspace:libs/langchain-google-genai":
+"@langchain/google-genai@npm:^0.0.25":
+  version: 0.0.25
+  resolution: "@langchain/google-genai@npm:0.0.25"
+  dependencies:
+    "@google/generative-ai": ^0.7.0
+    "@langchain/core": ">=0.2.21 <0.3.0"
+    zod-to-json-schema: ^3.22.4
+  checksum: 0119986f3f2c128c6eabf93ddc818fcc53773e91cc58154e416cbe9cefe15586e24776f21ca08d3a029701df1a1b8c45ce2c53c5d552a6df4566e08604e5bca9
+  languageName: node
+  linkType: hard
+
+"@langchain/google-genai@workspace:*, @langchain/google-genai@workspace:libs/langchain-google-genai":
   version: 0.0.0-use.local
   resolution: "@langchain/google-genai@workspace:libs/langchain-google-genai"
   dependencies:

From bdb0771f5a8157affba26495a55a21b87af59e12 Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Fri, 16 Aug 2024 04:37:27 -0700
Subject: [PATCH 042/344] Bump universal chat model deps (#6550)

---
 langchain/package.json |  4 ++--
 yarn.lock              | 31 +++++--------------------------
 2 files changed, 7 insertions(+), 28 deletions(-)

diff --git a/langchain/package.json b/langchain/package.json
index bbf93f6eab95..40ffadfabce1 100644
--- a/langchain/package.json
+++ b/langchain/package.json
@@ -616,8 +616,8 @@
     "@langchain/anthropic": "^0.2.8",
     "@langchain/aws": "^0.0.5",
     "@langchain/cohere": "^0.2.1",
-    "@langchain/google-genai": "^0.0.25",
-    "@langchain/google-vertexai": "^0.0.25",
+    "@langchain/google-genai": "^0.0.26",
+    "@langchain/google-vertexai": "^0.0.26",
     "@langchain/groq": "^0.0.15",
     "@langchain/mistralai": "^0.0.26",
     "@langchain/ollama": "^0.0.2",
diff --git a/yarn.lock b/yarn.lock
index cba13982d844..6e4eb507839b 100644
--- a/yarn.lock
+++ b/yarn.lock
@@ -11793,7 +11793,7 @@ __metadata:
   languageName: unknown
   linkType: soft
 
-"@langchain/google-gauth@workspace:libs/langchain-google-gauth, @langchain/google-gauth@~0.0.25, @langchain/google-gauth@~0.0.26":
+"@langchain/google-gauth@workspace:libs/langchain-google-gauth, @langchain/google-gauth@~0.0.26":
   version: 0.0.0-use.local
   resolution: "@langchain/google-gauth@workspace:libs/langchain-google-gauth"
   dependencies:
@@ -11826,18 +11826,7 @@ __metadata:
   languageName: unknown
   linkType: soft
 
-"@langchain/google-genai@npm:^0.0.25":
-  version: 0.0.25
-  resolution: "@langchain/google-genai@npm:0.0.25"
-  dependencies:
-    "@google/generative-ai": ^0.7.0
-    "@langchain/core": ">=0.2.21 <0.3.0"
-    zod-to-json-schema: ^3.22.4
-  checksum: 0119986f3f2c128c6eabf93ddc818fcc53773e91cc58154e416cbe9cefe15586e24776f21ca08d3a029701df1a1b8c45ce2c53c5d552a6df4566e08604e5bca9
-  languageName: node
-  linkType: hard
-
-"@langchain/google-genai@workspace:*, @langchain/google-genai@workspace:libs/langchain-google-genai":
+"@langchain/google-genai@^0.0.26, @langchain/google-genai@workspace:*, @langchain/google-genai@workspace:libs/langchain-google-genai":
   version: 0.0.0-use.local
   resolution: "@langchain/google-genai@workspace:libs/langchain-google-genai"
   dependencies:
@@ -11904,17 +11893,7 @@ __metadata:
   languageName: unknown
   linkType: soft
 
-"@langchain/google-vertexai@npm:^0.0.25":
-  version: 0.0.25
-  resolution: "@langchain/google-vertexai@npm:0.0.25"
-  dependencies:
-    "@langchain/core": ">=0.2.21 <0.3.0"
-    "@langchain/google-gauth": ~0.0.25
-  checksum: 8ffc55b8d7a797277780cdab1851db606889e1063420c6a01f95b2c9b98f8a5708250c55bb25a8fb74b2052b4b83c8a63283f9a4c0ba769f86bacfcab22b3f50
-  languageName: node
-  linkType: hard
-
-"@langchain/google-vertexai@workspace:*, @langchain/google-vertexai@workspace:libs/langchain-google-vertexai":
+"@langchain/google-vertexai@^0.0.26, @langchain/google-vertexai@workspace:*, @langchain/google-vertexai@workspace:libs/langchain-google-vertexai":
   version: 0.0.0-use.local
   resolution: "@langchain/google-vertexai@workspace:libs/langchain-google-vertexai"
   dependencies:
@@ -32070,8 +32049,8 @@ __metadata:
     "@langchain/aws": ^0.0.5
     "@langchain/cohere": ^0.2.1
     "@langchain/core": ">=0.2.21 <0.3.0"
-    "@langchain/google-genai": ^0.0.25
-    "@langchain/google-vertexai": ^0.0.25
+    "@langchain/google-genai": ^0.0.26
+    "@langchain/google-vertexai": ^0.0.26
     "@langchain/groq": ^0.0.15
     "@langchain/mistralai": ^0.0.26
     "@langchain/ollama": ^0.0.2

From a52630f6c733dd0014543670c645aa635e3e1ada Mon Sep 17 00:00:00 2001
From: Dominik Kundel <dkundel@twilio.com>
Date: Fri, 16 Aug 2024 14:04:02 +0200
Subject: [PATCH 043/344] core[patch]: Pass input to invocation for JSON schema
 tools (#6549)

* core[patch]: Pass input to invocation for JSON schema tools

* Lint

* Use type guard instead of instanceof

---------

Co-authored-by: jacoblee93 <jacoblee93@gmail.com>
---
 langchain-core/src/tools/index.ts            |  8 ++++++--
 langchain-core/src/tools/tests/tools.test.ts | 14 ++++++++++++--
 2 files changed, 18 insertions(+), 4 deletions(-)

diff --git a/langchain-core/src/tools/index.ts b/langchain-core/src/tools/index.ts
index 3a73a0b53dde..a2000a24b21d 100644
--- a/langchain-core/src/tools/index.ts
+++ b/langchain-core/src/tools/index.ts
@@ -430,7 +430,7 @@ export class DynamicStructuredTool<
     this.func = fields.func;
     this.returnDirect = fields.returnDirect ?? this.returnDirect;
     this.schema = (
-      isZodSchema(fields.schema) ? fields.schema : z.object({})
+      isZodSchema(fields.schema) ? fields.schema : z.object({}).passthrough()
     ) as T extends ZodObjectAny ? T : ZodObjectAny;
   }
 
@@ -557,7 +557,11 @@ export function tool<
   | DynamicStructuredTool<T extends ZodObjectAny ? T : ZodObjectAny>
   | DynamicTool {
   // If the schema is not provided, or it's a string schema, create a DynamicTool
-  if (!fields.schema || !("shape" in fields.schema) || !fields.schema.shape) {
+  if (
+    !fields.schema ||
+    (isZodSchema(fields.schema) &&
+      (!("shape" in fields.schema) || !fields.schema.shape))
+  ) {
     return new DynamicTool({
       ...fields,
       description:
diff --git a/langchain-core/src/tools/tests/tools.test.ts b/langchain-core/src/tools/tests/tools.test.ts
index 4c38800b3489..2988eb64d9cf 100644
--- a/langchain-core/src/tools/tests/tools.test.ts
+++ b/langchain-core/src/tools/tests/tools.test.ts
@@ -128,7 +128,11 @@ test("Tool declared with JSON schema", async () => {
     required: ["location"],
   };
   const weatherTool = tool(
-    (_) => {
+    (input) => {
+      // even without validation expect input to be passed
+      expect(input).toEqual({
+        somethingSilly: true,
+      });
       return "Sunny";
     },
     {
@@ -136,15 +140,21 @@ test("Tool declared with JSON schema", async () => {
       schema: weatherSchema,
     }
   );
+  expect(weatherTool).toBeInstanceOf(DynamicStructuredTool);
 
   const weatherTool2 = new DynamicStructuredTool({
     name: "weather",
     description: "get the weather",
-    func: async (_) => {
+    func: async (input) => {
+      // even without validation expect input to be passed
+      expect(input).toEqual({
+        somethingSilly: true,
+      });
       return "Sunny";
     },
     schema: weatherSchema,
   });
+
   // No validation on JSON schema tools
   await weatherTool.invoke({
     somethingSilly: true,

From 126349e430f61747e7ddf3cc4e0bd60f088145b6 Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Fri, 16 Aug 2024 05:11:37 -0700
Subject: [PATCH 044/344] core[patch]: Release 0.2.25 (#6551)

---
 langchain-core/package.json | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/langchain-core/package.json b/langchain-core/package.json
index 048f0bc4a143..334ef6ee3840 100644
--- a/langchain-core/package.json
+++ b/langchain-core/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/core",
-  "version": "0.2.24",
+  "version": "0.2.25",
   "description": "Core LangChain.js abstractions and schemas",
   "type": "module",
   "engines": {

From 7edbf71c2a1396454ba65dae41302f45c58caa17 Mon Sep 17 00:00:00 2001
From: Brace Sproul <braceasproul@gmail.com>
Date: Fri, 16 Aug 2024 10:28:41 -0700
Subject: [PATCH 045/344] scripts[minor]: Add notebook validation script
 (#6541)

* scripts[minor]: Add notebook validation script

* trigger ntbk change

* cr

* format and lint

* add lg=ogs

* verify file exists

* fixed

* add -- to script

* release 0.0.21

* bump all langchain scripts versions

* Apply suggestions from code review

* merge main
---
 .github/workflows/validate_new_notebooks.yml  |  5 +-
 docs/core_docs/package.json                   |  2 +-
 examples/package.json                         |  2 +-
 langchain-core/package.json                   |  2 +-
 langchain/package.json                        |  2 +-
 .../template/package.json                     |  2 +-
 libs/langchain-anthropic/package.json         |  2 +-
 libs/langchain-aws/package.json               |  2 +-
 .../package.json                              |  2 +-
 libs/langchain-azure-openai/package.json      |  2 +-
 libs/langchain-baidu-qianfan/package.json     |  2 +-
 libs/langchain-cloudflare/package.json        |  2 +-
 libs/langchain-cohere/package.json            |  2 +-
 libs/langchain-community/package.json         |  2 +-
 libs/langchain-exa/package.json               |  2 +-
 libs/langchain-google-common/package.json     |  2 +-
 libs/langchain-google-gauth/package.json      |  2 +-
 libs/langchain-google-genai/package.json      |  2 +-
 .../package.json                              |  2 +-
 libs/langchain-google-vertexai/package.json   |  2 +-
 libs/langchain-google-webauth/package.json    |  2 +-
 libs/langchain-groq/package.json              |  2 +-
 libs/langchain-mistralai/package.json         |  2 +-
 libs/langchain-mixedbread-ai/package.json     |  2 +-
 libs/langchain-mongodb/package.json           |  2 +-
 libs/langchain-nomic/package.json             |  2 +-
 libs/langchain-ollama/package.json            |  2 +-
 libs/langchain-openai/package.json            |  2 +-
 libs/langchain-pinecone/package.json          |  2 +-
 libs/langchain-qdrant/package.json            |  2 +-
 libs/langchain-redis/package.json             |  2 +-
 .../bin/validate_notebook.js                  |  1 +
 libs/langchain-scripts/package.json           |  5 +-
 .../src}/validate_notebook.ts                 | 15 ++---
 libs/langchain-textsplitters/package.json     |  2 +-
 libs/langchain-weaviate/package.json          |  2 +-
 libs/langchain-yandex/package.json            |  2 +-
 package.json                                  |  2 +-
 yarn.lock                                     | 65 ++++++++++---------
 39 files changed, 81 insertions(+), 78 deletions(-)
 create mode 100755 libs/langchain-scripts/bin/validate_notebook.js
 rename {docs/core_docs/scripts => libs/langchain-scripts/src}/validate_notebook.ts (92%)

diff --git a/.github/workflows/validate_new_notebooks.yml b/.github/workflows/validate_new_notebooks.yml
index bb6bffebc062..aa0911d469b1 100644
--- a/.github/workflows/validate_new_notebooks.yml
+++ b/.github/workflows/validate_new_notebooks.yml
@@ -51,8 +51,9 @@ jobs:
           notebooks=$(echo '${{ steps.changed-files.outputs.all_changed_files }}' | tr ' ' '\n' | grep '^docs/core_docs/.*\.ipynb$' || true)
           if [ -n "$notebooks" ]; then
             for notebook in $notebooks; do
-              yarn notebook:validate "$notebook"
+              absolute_path="$GITHUB_WORKSPACE/$notebook"
+              yarn notebook:validate "$absolute_path"
             done
           else
             echo "No notebooks in docs/core_docs to validate."
-          fi
\ No newline at end of file
+          fi
diff --git a/docs/core_docs/package.json b/docs/core_docs/package.json
index e71b7784e37d..9a74b1014673 100644
--- a/docs/core_docs/package.json
+++ b/docs/core_docs/package.json
@@ -27,7 +27,7 @@
     "broken-links": "node ./scripts/check-broken-links.js",
     "check:broken-links": "yarn quarto && yarn broken-links",
     "check:broken-links:ci": "yarn quarto:vercel && yarn broken-links",
-    "validate": "tsx --experimental-wasm-modules -r dotenv/config ./scripts/validate_notebook.ts"
+    "validate": "yarn notebook_validate"
   },
   "dependencies": {
     "@docusaurus/core": "2.4.3",
diff --git a/examples/package.json b/examples/package.json
index 0e0d8df8b6ed..1887b730af06 100644
--- a/examples/package.json
+++ b/examples/package.json
@@ -58,7 +58,7 @@
     "@langchain/pinecone": "workspace:*",
     "@langchain/qdrant": "workspace:*",
     "@langchain/redis": "workspace:*",
-    "@langchain/scripts": "~0.0.20",
+    "@langchain/scripts": "^0.0.21",
     "@langchain/textsplitters": "workspace:*",
     "@langchain/weaviate": "workspace:*",
     "@langchain/yandex": "workspace:*",
diff --git a/langchain-core/package.json b/langchain-core/package.json
index 334ef6ee3840..1fcb7c21d297 100644
--- a/langchain-core/package.json
+++ b/langchain-core/package.json
@@ -55,7 +55,7 @@
   },
   "devDependencies": {
     "@jest/globals": "^29.5.0",
-    "@langchain/scripts": "~0.0.20",
+    "@langchain/scripts": "^0.0.21",
     "@swc/core": "^1.3.90",
     "@swc/jest": "^0.2.29",
     "@types/decamelize": "^1.2.0",
diff --git a/langchain/package.json b/langchain/package.json
index 40ffadfabce1..8c5d13a9b751 100644
--- a/langchain/package.json
+++ b/langchain/package.json
@@ -621,7 +621,7 @@
     "@langchain/groq": "^0.0.15",
     "@langchain/mistralai": "^0.0.26",
     "@langchain/ollama": "^0.0.2",
-    "@langchain/scripts": "~0.0.20",
+    "@langchain/scripts": "^0.0.21",
     "@mendable/firecrawl-js": "^0.0.13",
     "@notionhq/client": "^2.2.10",
     "@pinecone-database/pinecone": "^1.1.0",
diff --git a/libs/create-langchain-integration/template/package.json b/libs/create-langchain-integration/template/package.json
index e5598ae4c7da..326580217a7b 100644
--- a/libs/create-langchain-integration/template/package.json
+++ b/libs/create-langchain-integration/template/package.json
@@ -45,7 +45,7 @@
     "@jest/globals": "^29.5.0",
     "@swc/core": "^1.3.90",
     "@swc/jest": "^0.2.29",
-    "@langchain/scripts": "~0.0.20",
+    "@langchain/scripts": "^0.0.21",
     "@tsconfig/recommended": "^1.0.3",
     "@typescript-eslint/eslint-plugin": "^6.12.0",
     "@typescript-eslint/parser": "^6.12.0",
diff --git a/libs/langchain-anthropic/package.json b/libs/langchain-anthropic/package.json
index 314dc51b5b7d..ea843eab9532 100644
--- a/libs/langchain-anthropic/package.json
+++ b/libs/langchain-anthropic/package.json
@@ -43,7 +43,7 @@
   },
   "devDependencies": {
     "@jest/globals": "^29.5.0",
-    "@langchain/scripts": "~0.0.20",
+    "@langchain/scripts": "^0.0.21",
     "@langchain/standard-tests": "0.0.0",
     "@swc/core": "^1.3.90",
     "@swc/jest": "^0.2.29",
diff --git a/libs/langchain-aws/package.json b/libs/langchain-aws/package.json
index dcca5722d2c6..48e4d63696bb 100644
--- a/libs/langchain-aws/package.json
+++ b/libs/langchain-aws/package.json
@@ -50,7 +50,7 @@
   "devDependencies": {
     "@aws-sdk/types": "^3.609.0",
     "@jest/globals": "^29.5.0",
-    "@langchain/scripts": "~0.0.20",
+    "@langchain/scripts": "^0.0.21",
     "@langchain/standard-tests": "0.0.0",
     "@smithy/types": "^3.2.0",
     "@swc/core": "^1.3.90",
diff --git a/libs/langchain-azure-dynamic-sessions/package.json b/libs/langchain-azure-dynamic-sessions/package.json
index 0fd02dfb8e8a..b6504cc0be2a 100644
--- a/libs/langchain-azure-dynamic-sessions/package.json
+++ b/libs/langchain-azure-dynamic-sessions/package.json
@@ -44,7 +44,7 @@
   },
   "devDependencies": {
     "@jest/globals": "^29.5.0",
-    "@langchain/scripts": "~0.0.20",
+    "@langchain/scripts": "^0.0.21",
     "@swc/core": "^1.3.90",
     "@swc/jest": "^0.2.29",
     "@tsconfig/recommended": "^1.0.3",
diff --git a/libs/langchain-azure-openai/package.json b/libs/langchain-azure-openai/package.json
index c4c1157ade8c..a386398a2fc9 100644
--- a/libs/langchain-azure-openai/package.json
+++ b/libs/langchain-azure-openai/package.json
@@ -41,7 +41,7 @@
   "devDependencies": {
     "@azure/identity": "^4.2.1",
     "@jest/globals": "^29.5.0",
-    "@langchain/scripts": "~0.0.20",
+    "@langchain/scripts": "^0.0.21",
     "@langchain/standard-tests": "0.0.0",
     "@swc/core": "^1.3.90",
     "@swc/jest": "^0.2.29",
diff --git a/libs/langchain-baidu-qianfan/package.json b/libs/langchain-baidu-qianfan/package.json
index e268a49ba227..ae90a64fdf2e 100644
--- a/libs/langchain-baidu-qianfan/package.json
+++ b/libs/langchain-baidu-qianfan/package.json
@@ -40,7 +40,7 @@
   "devDependencies": {
     "@jest/globals": "^29.5.0",
     "@langchain/openai": "~0.1.0",
-    "@langchain/scripts": "~0.0.20",
+    "@langchain/scripts": "^0.0.21",
     "@swc/core": "^1.3.90",
     "@swc/jest": "^0.2.29",
     "@tsconfig/recommended": "^1.0.3",
diff --git a/libs/langchain-cloudflare/package.json b/libs/langchain-cloudflare/package.json
index 249312f78c36..af14fba26d76 100644
--- a/libs/langchain-cloudflare/package.json
+++ b/libs/langchain-cloudflare/package.json
@@ -43,7 +43,7 @@
     "@cloudflare/workers-types": "^4.20231218.0",
     "@jest/globals": "^29.5.0",
     "@langchain/langgraph": "~0.0.31",
-    "@langchain/scripts": "~0.0.20",
+    "@langchain/scripts": "^0.0.21",
     "@langchain/standard-tests": "0.0.0",
     "@swc/core": "^1.3.90",
     "@swc/jest": "^0.2.29",
diff --git a/libs/langchain-cohere/package.json b/libs/langchain-cohere/package.json
index de369a8fa775..27ed82d1eadb 100644
--- a/libs/langchain-cohere/package.json
+++ b/libs/langchain-cohere/package.json
@@ -43,7 +43,7 @@
   },
   "devDependencies": {
     "@jest/globals": "^29.5.0",
-    "@langchain/scripts": "~0.0.20",
+    "@langchain/scripts": "^0.0.21",
     "@langchain/standard-tests": "0.0.0",
     "@swc/core": "^1.3.90",
     "@swc/jest": "^0.2.29",
diff --git a/libs/langchain-community/package.json b/libs/langchain-community/package.json
index 87b03e431e17..83bd6cecae25 100644
--- a/libs/langchain-community/package.json
+++ b/libs/langchain-community/package.json
@@ -79,7 +79,7 @@
     "@huggingface/inference": "^2.6.4",
     "@jest/globals": "^29.5.0",
     "@langchain/langgraph": "<0.1.0",
-    "@langchain/scripts": "~0.0.20",
+    "@langchain/scripts": "^0.0.21",
     "@langchain/standard-tests": "0.0.0",
     "@layerup/layerup-security": "^1.5.12",
     "@mendable/firecrawl-js": "^0.0.36",
diff --git a/libs/langchain-exa/package.json b/libs/langchain-exa/package.json
index b75eb677e996..b4e74ae0387c 100644
--- a/libs/langchain-exa/package.json
+++ b/libs/langchain-exa/package.json
@@ -45,7 +45,7 @@
   },
   "devDependencies": {
     "@jest/globals": "^29.5.0",
-    "@langchain/scripts": "~0.0.20",
+    "@langchain/scripts": "^0.0.21",
     "@swc/core": "^1.3.90",
     "@swc/jest": "^0.2.29",
     "@tsconfig/recommended": "^1.0.3",
diff --git a/libs/langchain-google-common/package.json b/libs/langchain-google-common/package.json
index fca557792abf..0aba010d59fd 100644
--- a/libs/langchain-google-common/package.json
+++ b/libs/langchain-google-common/package.json
@@ -46,7 +46,7 @@
   },
   "devDependencies": {
     "@jest/globals": "^29.5.0",
-    "@langchain/scripts": "~0.0.20",
+    "@langchain/scripts": "^0.0.21",
     "@swc/core": "^1.3.90",
     "@swc/jest": "^0.2.29",
     "@tsconfig/recommended": "^1.0.3",
diff --git a/libs/langchain-google-gauth/package.json b/libs/langchain-google-gauth/package.json
index 3ad08757808b..3a9190076726 100644
--- a/libs/langchain-google-gauth/package.json
+++ b/libs/langchain-google-gauth/package.json
@@ -41,7 +41,7 @@
   },
   "devDependencies": {
     "@jest/globals": "^29.5.0",
-    "@langchain/scripts": "~0.0.20",
+    "@langchain/scripts": "^0.0.21",
     "@swc/core": "^1.3.90",
     "@swc/jest": "^0.2.29",
     "@tsconfig/recommended": "^1.0.3",
diff --git a/libs/langchain-google-genai/package.json b/libs/langchain-google-genai/package.json
index ecafca892bd1..fdf63cc93a04 100644
--- a/libs/langchain-google-genai/package.json
+++ b/libs/langchain-google-genai/package.json
@@ -41,7 +41,7 @@
   },
   "devDependencies": {
     "@jest/globals": "^29.5.0",
-    "@langchain/scripts": "~0.0.20",
+    "@langchain/scripts": "^0.0.21",
     "@langchain/standard-tests": "0.0.0",
     "@swc/core": "^1.3.90",
     "@swc/jest": "^0.2.29",
diff --git a/libs/langchain-google-vertexai-web/package.json b/libs/langchain-google-vertexai-web/package.json
index d5b5d3b3f29f..599ca1c82094 100644
--- a/libs/langchain-google-vertexai-web/package.json
+++ b/libs/langchain-google-vertexai-web/package.json
@@ -45,7 +45,7 @@
   },
   "devDependencies": {
     "@jest/globals": "^29.5.0",
-    "@langchain/scripts": "~0.0.20",
+    "@langchain/scripts": "^0.0.21",
     "@swc/core": "^1.3.90",
     "@swc/jest": "^0.2.29",
     "@tsconfig/recommended": "^1.0.3",
diff --git a/libs/langchain-google-vertexai/package.json b/libs/langchain-google-vertexai/package.json
index 5b5631332d53..e8094e28f5cf 100644
--- a/libs/langchain-google-vertexai/package.json
+++ b/libs/langchain-google-vertexai/package.json
@@ -49,7 +49,7 @@
   "devDependencies": {
     "@jest/globals": "^29.5.0",
     "@langchain/google-common": "~0.0",
-    "@langchain/scripts": "~0.0.20",
+    "@langchain/scripts": "^0.0.21",
     "@langchain/standard-tests": "0.0.0",
     "@swc/core": "^1.3.90",
     "@swc/jest": "^0.2.29",
diff --git a/libs/langchain-google-webauth/package.json b/libs/langchain-google-webauth/package.json
index 775cd60184c8..055e54d8e893 100644
--- a/libs/langchain-google-webauth/package.json
+++ b/libs/langchain-google-webauth/package.json
@@ -46,7 +46,7 @@
   },
   "devDependencies": {
     "@jest/globals": "^29.5.0",
-    "@langchain/scripts": "~0.0.20",
+    "@langchain/scripts": "^0.0.21",
     "@swc/core": "^1.3.90",
     "@swc/jest": "^0.2.29",
     "@tsconfig/recommended": "^1.0.3",
diff --git a/libs/langchain-groq/package.json b/libs/langchain-groq/package.json
index dd8ee0678110..0ff8e0db3485 100644
--- a/libs/langchain-groq/package.json
+++ b/libs/langchain-groq/package.json
@@ -44,7 +44,7 @@
   "devDependencies": {
     "@jest/globals": "^29.5.0",
     "@langchain/openai": "workspace:^",
-    "@langchain/scripts": "~0.0.20",
+    "@langchain/scripts": "^0.0.21",
     "@langchain/standard-tests": "0.0.0",
     "@swc/core": "^1.3.90",
     "@swc/jest": "^0.2.29",
diff --git a/libs/langchain-mistralai/package.json b/libs/langchain-mistralai/package.json
index f54aaed376d6..18518b9ed0a5 100644
--- a/libs/langchain-mistralai/package.json
+++ b/libs/langchain-mistralai/package.json
@@ -43,7 +43,7 @@
   },
   "devDependencies": {
     "@jest/globals": "^29.5.0",
-    "@langchain/scripts": "~0.0.20",
+    "@langchain/scripts": "^0.0.21",
     "@langchain/standard-tests": "0.0.0",
     "@swc/core": "^1.3.90",
     "@swc/jest": "^0.2.29",
diff --git a/libs/langchain-mixedbread-ai/package.json b/libs/langchain-mixedbread-ai/package.json
index 4a072ea27ba6..bdd5c3319687 100644
--- a/libs/langchain-mixedbread-ai/package.json
+++ b/libs/langchain-mixedbread-ai/package.json
@@ -40,7 +40,7 @@
   },
   "devDependencies": {
     "@jest/globals": "^29.5.0",
-    "@langchain/scripts": "~0.0.20",
+    "@langchain/scripts": "^0.0.21",
     "@langchain/standard-tests": "0.0.0",
     "@swc/core": "^1.3.90",
     "@swc/jest": "^0.2.29",
diff --git a/libs/langchain-mongodb/package.json b/libs/langchain-mongodb/package.json
index abe5f3850523..ea068045df7f 100644
--- a/libs/langchain-mongodb/package.json
+++ b/libs/langchain-mongodb/package.json
@@ -46,7 +46,7 @@
   "devDependencies": {
     "@jest/globals": "^29.5.0",
     "@langchain/openai": "workspace:*",
-    "@langchain/scripts": "~0.0.20",
+    "@langchain/scripts": "^0.0.21",
     "@swc/core": "^1.3.90",
     "@swc/jest": "^0.2.29",
     "@tsconfig/recommended": "^1.0.3",
diff --git a/libs/langchain-nomic/package.json b/libs/langchain-nomic/package.json
index 917ea7aac336..8b347543fb53 100644
--- a/libs/langchain-nomic/package.json
+++ b/libs/langchain-nomic/package.json
@@ -46,7 +46,7 @@
   "devDependencies": {
     "@jest/globals": "^29.5.0",
     "@langchain/openai": "workspace:^",
-    "@langchain/scripts": "~0.0.20",
+    "@langchain/scripts": "^0.0.21",
     "@swc/core": "^1.3.90",
     "@swc/jest": "^0.2.29",
     "@tsconfig/recommended": "^1.0.3",
diff --git a/libs/langchain-ollama/package.json b/libs/langchain-ollama/package.json
index 1f62ba397105..e2b041f03c77 100644
--- a/libs/langchain-ollama/package.json
+++ b/libs/langchain-ollama/package.json
@@ -41,7 +41,7 @@
   },
   "devDependencies": {
     "@jest/globals": "^29.5.0",
-    "@langchain/scripts": "~0.0.20",
+    "@langchain/scripts": "^0.0.21",
     "@langchain/standard-tests": "0.0.0",
     "@swc/core": "^1.3.90",
     "@swc/jest": "^0.2.29",
diff --git a/libs/langchain-openai/package.json b/libs/langchain-openai/package.json
index ee1afad9d031..98453121a2f4 100644
--- a/libs/langchain-openai/package.json
+++ b/libs/langchain-openai/package.json
@@ -44,7 +44,7 @@
   "devDependencies": {
     "@azure/identity": "^4.2.1",
     "@jest/globals": "^29.5.0",
-    "@langchain/scripts": "~0.0.20",
+    "@langchain/scripts": "^0.0.21",
     "@langchain/standard-tests": "0.0.0",
     "@swc/core": "^1.3.90",
     "@swc/jest": "^0.2.29",
diff --git a/libs/langchain-pinecone/package.json b/libs/langchain-pinecone/package.json
index 6fc4037b6e6f..ff1e1eef2b45 100644
--- a/libs/langchain-pinecone/package.json
+++ b/libs/langchain-pinecone/package.json
@@ -48,7 +48,7 @@
     "@faker-js/faker": "^8.3.1",
     "@jest/globals": "^29.5.0",
     "@langchain/openai": "workspace:*",
-    "@langchain/scripts": "~0.0.20",
+    "@langchain/scripts": "^0.0.21",
     "@swc/core": "^1.3.90",
     "@swc/jest": "^0.2.29",
     "@tsconfig/recommended": "^1.0.3",
diff --git a/libs/langchain-qdrant/package.json b/libs/langchain-qdrant/package.json
index 863862272c76..b3a4c254fb9f 100644
--- a/libs/langchain-qdrant/package.json
+++ b/libs/langchain-qdrant/package.json
@@ -46,7 +46,7 @@
   "devDependencies": {
     "@faker-js/faker": "^8.4.1",
     "@jest/globals": "^29.5.0",
-    "@langchain/scripts": "~0.0.20",
+    "@langchain/scripts": "^0.0.21",
     "@swc/core": "^1.3.90",
     "@swc/jest": "^0.2.29",
     "@tsconfig/recommended": "^1.0.3",
diff --git a/libs/langchain-redis/package.json b/libs/langchain-redis/package.json
index 417ae2c788f8..4d3f13c76531 100644
--- a/libs/langchain-redis/package.json
+++ b/libs/langchain-redis/package.json
@@ -45,7 +45,7 @@
   "devDependencies": {
     "@faker-js/faker": "^8.4.0",
     "@jest/globals": "^29.5.0",
-    "@langchain/scripts": "~0.0.20",
+    "@langchain/scripts": "^0.0.21",
     "@swc/core": "^1.3.90",
     "@swc/jest": "^0.2.29",
     "@tsconfig/recommended": "^1.0.3",
diff --git a/libs/langchain-scripts/bin/validate_notebook.js b/libs/langchain-scripts/bin/validate_notebook.js
new file mode 100755
index 000000000000..2ff6aa968a34
--- /dev/null
+++ b/libs/langchain-scripts/bin/validate_notebook.js
@@ -0,0 +1 @@
+import "../dist/validate_notebook.js";
diff --git a/libs/langchain-scripts/package.json b/libs/langchain-scripts/package.json
index 318dca0c76db..7dcd652ebfa3 100644
--- a/libs/langchain-scripts/package.json
+++ b/libs/langchain-scripts/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/scripts",
-  "version": "0.0.20",
+  "version": "0.0.21",
   "description": "Shared scripts for LangChain.js",
   "type": "module",
   "engines": {
@@ -15,7 +15,8 @@
   "homepage": "https://github.com/langchain-ai/langchainjs/tree/main/libs/langchain-scripts/",
   "bin": {
     "lc-build": "bin/build.js",
-    "lc_build_v2": "bin/build_v2.js"
+    "lc_build_v2": "bin/build_v2.js",
+    "notebook_validate": "bin/validate_notebook.js"
   },
   "scripts": {
     "build": "yarn turbo:command build:internal --filter=@langchain/scripts",
diff --git a/docs/core_docs/scripts/validate_notebook.ts b/libs/langchain-scripts/src/validate_notebook.ts
similarity index 92%
rename from docs/core_docs/scripts/validate_notebook.ts
rename to libs/langchain-scripts/src/validate_notebook.ts
index 61ac2439f664..65907c159566 100644
--- a/docs/core_docs/scripts/validate_notebook.ts
+++ b/libs/langchain-scripts/src/validate_notebook.ts
@@ -1,15 +1,16 @@
-import * as fs from "node:fs";
-import * as ts from "typescript";
+import fs from "node:fs";
+import ts from "typescript";
 import { Project } from "ts-morph";
 
 export function extract(filepath: string) {
-  const cells = JSON.parse(fs.readFileSync(filepath).toString()).cells;
+  const { cells } = JSON.parse(fs.readFileSync(filepath).toString());
   if (cells[0]?.source.includes("lc_docs_skip_validation: true\n")) {
     return "";
   }
   const project = new Project({ useInMemoryFileSystem: true });
   const sourceFile = project.createSourceFile("temp.ts", "");
 
+  // eslint-disable-next-line @typescript-eslint/no-explicit-any
   cells.forEach((cell: Record<string, any>) => {
     const source = cell.source
       .join("")
@@ -62,16 +63,13 @@ export function extract(filepath: string) {
   return sourceFile.getFullText();
 }
 
-let [pathname, ...args] = process.argv.slice(2);
+const [pathname] = process.argv.slice(2);
 
 if (!pathname) {
   throw new Error("No pathname provided.");
 }
 
 const run = async () => {
-  if (pathname.startsWith("docs/core_docs/")) {
-    pathname = "./" + pathname.slice("docs/core_docs/".length);
-  }
   if (!pathname.endsWith(".ipynb")) {
     throw new Error("Only .ipynb files are supported.");
   }
@@ -121,6 +119,7 @@ const run = async () => {
       const issues = issueStrings.join("\n");
       console.error(issues);
       const err = new Error("Found type errors in new notebook.");
+      // eslint-disable-next-line @typescript-eslint/no-explicit-any
       (err as any).details = issues;
       throw err;
     }
@@ -134,7 +133,7 @@ const run = async () => {
 };
 
 try {
-  run();
+  void run();
 } catch {
   process.exit(1);
 }
diff --git a/libs/langchain-textsplitters/package.json b/libs/langchain-textsplitters/package.json
index c13543ccb70d..1efb1da6a906 100644
--- a/libs/langchain-textsplitters/package.json
+++ b/libs/langchain-textsplitters/package.json
@@ -44,7 +44,7 @@
   },
   "devDependencies": {
     "@jest/globals": "^29.5.0",
-    "@langchain/scripts": "~0.0.20",
+    "@langchain/scripts": "^0.0.21",
     "@swc/core": "^1.3.90",
     "@swc/jest": "^0.2.29",
     "@tsconfig/recommended": "^1.0.3",
diff --git a/libs/langchain-weaviate/package.json b/libs/langchain-weaviate/package.json
index 1a19aed12496..d7939017b918 100644
--- a/libs/langchain-weaviate/package.json
+++ b/libs/langchain-weaviate/package.json
@@ -47,7 +47,7 @@
   "devDependencies": {
     "@jest/globals": "^29.5.0",
     "@langchain/openai": "workspace:^",
-    "@langchain/scripts": "~0.0.20",
+    "@langchain/scripts": "^0.0.21",
     "@swc/core": "^1.3.90",
     "@swc/jest": "^0.2.29",
     "@tsconfig/recommended": "^1.0.3",
diff --git a/libs/langchain-yandex/package.json b/libs/langchain-yandex/package.json
index 0e4d92802728..6d4e57ced8c1 100644
--- a/libs/langchain-yandex/package.json
+++ b/libs/langchain-yandex/package.json
@@ -44,7 +44,7 @@
   },
   "devDependencies": {
     "@jest/globals": "^29.5.0",
-    "@langchain/scripts": "~0.0.20",
+    "@langchain/scripts": "^0.0.21",
     "@swc/core": "^1.3.90",
     "@swc/jest": "^0.2.29",
     "@tsconfig/recommended": "^1.0.3",
diff --git a/package.json b/package.json
index d6161145a605..35478c1a5190 100644
--- a/package.json
+++ b/package.json
@@ -37,7 +37,7 @@
     "test:standard:int": "turbo test:standard:int",
     "test:standard": "yarn test:standard:unit && yarn test:standard:int",
     "example": "yarn workspace examples start",
-    "notebook:validate": "yarn workspace core_docs validate",
+    "notebook:validate": "turbo --filter=@langchain/scripts notebook:validate --",
     "precommit": "turbo precommit",
     "docs": "yarn workspace core_docs start",
     "docs:api_refs": "yarn workspace api_refs start",
diff --git a/yarn.lock b/yarn.lock
index 6e4eb507839b..280bba0e0fa9 100644
--- a/yarn.lock
+++ b/yarn.lock
@@ -10854,7 +10854,7 @@ __metadata:
     "@anthropic-ai/sdk": ^0.25.2
     "@jest/globals": ^29.5.0
     "@langchain/core": ">=0.2.21 <0.3.0"
-    "@langchain/scripts": ~0.0.20
+    "@langchain/scripts": ^0.0.21
     "@langchain/standard-tests": 0.0.0
     "@swc/core": ^1.3.90
     "@swc/jest": ^0.2.29
@@ -10904,7 +10904,7 @@ __metadata:
     "@aws-sdk/types": ^3.609.0
     "@jest/globals": ^29.5.0
     "@langchain/core": ">=0.2.21 <0.3.0"
-    "@langchain/scripts": ~0.0.20
+    "@langchain/scripts": ^0.0.21
     "@langchain/standard-tests": 0.0.0
     "@smithy/types": ^3.2.0
     "@swc/core": ^1.3.90
@@ -10973,7 +10973,7 @@ __metadata:
     "@azure/identity": ^4.2.1
     "@jest/globals": ^29.5.0
     "@langchain/core": ~0.2
-    "@langchain/scripts": ~0.0.20
+    "@langchain/scripts": ^0.0.21
     "@swc/core": ^1.3.90
     "@swc/jest": ^0.2.29
     "@tsconfig/recommended": ^1.0.3
@@ -11008,7 +11008,7 @@ __metadata:
     "@azure/openai": 1.0.0-beta.11
     "@jest/globals": ^29.5.0
     "@langchain/core": ">0.1.0 <0.3.0"
-    "@langchain/scripts": ~0.0.20
+    "@langchain/scripts": ^0.0.21
     "@langchain/standard-tests": 0.0.0
     "@swc/core": ^1.3.90
     "@swc/jest": ^0.2.29
@@ -11040,7 +11040,7 @@ __metadata:
     "@jest/globals": ^29.5.0
     "@langchain/core": ">0.1.56 <0.3.0"
     "@langchain/openai": ~0.1.0
-    "@langchain/scripts": ~0.0.20
+    "@langchain/scripts": ^0.0.21
     "@swc/core": ^1.3.90
     "@swc/jest": ^0.2.29
     "@tsconfig/recommended": ^1.0.3
@@ -11076,7 +11076,7 @@ __metadata:
     "@jest/globals": ^29.5.0
     "@langchain/core": ">0.1.0 <0.3.0"
     "@langchain/langgraph": ~0.0.31
-    "@langchain/scripts": ~0.0.20
+    "@langchain/scripts": ^0.0.21
     "@langchain/standard-tests": 0.0.0
     "@swc/core": ^1.3.90
     "@swc/jest": ^0.2.29
@@ -11114,7 +11114,7 @@ __metadata:
   dependencies:
     "@jest/globals": ^29.5.0
     "@langchain/core": ">=0.2.21 <0.3.0"
-    "@langchain/scripts": ~0.0.20
+    "@langchain/scripts": ^0.0.21
     "@langchain/standard-tests": 0.0.0
     "@swc/core": ^1.3.90
     "@swc/jest": ^0.2.29
@@ -11181,7 +11181,7 @@ __metadata:
     "@langchain/core": ">=0.2.21 <0.3.0"
     "@langchain/langgraph": <0.1.0
     "@langchain/openai": ">=0.2.0 <0.3.0"
-    "@langchain/scripts": ~0.0.20
+    "@langchain/scripts": ^0.0.21
     "@langchain/standard-tests": 0.0.0
     "@layerup/layerup-security": ^1.5.12
     "@mendable/firecrawl-js": ^0.0.36
@@ -11692,7 +11692,7 @@ __metadata:
   resolution: "@langchain/core@workspace:langchain-core"
   dependencies:
     "@jest/globals": ^29.5.0
-    "@langchain/scripts": ~0.0.20
+    "@langchain/scripts": ^0.0.21
     "@swc/core": ^1.3.90
     "@swc/jest": ^0.2.29
     "@types/decamelize": ^1.2.0
@@ -11734,7 +11734,7 @@ __metadata:
   dependencies:
     "@jest/globals": ^29.5.0
     "@langchain/core": ">0.1.0 <0.3.0"
-    "@langchain/scripts": ~0.0.20
+    "@langchain/scripts": ^0.0.21
     "@swc/core": ^1.3.90
     "@swc/jest": ^0.2.29
     "@tsconfig/recommended": ^1.0.3
@@ -11766,7 +11766,7 @@ __metadata:
   dependencies:
     "@jest/globals": ^29.5.0
     "@langchain/core": ">=0.2.21 <0.3.0"
-    "@langchain/scripts": ~0.0.20
+    "@langchain/scripts": ^0.0.21
     "@swc/core": ^1.3.90
     "@swc/jest": ^0.2.29
     "@tsconfig/recommended": ^1.0.3
@@ -11800,7 +11800,7 @@ __metadata:
     "@jest/globals": ^29.5.0
     "@langchain/core": ">=0.2.21 <0.3.0"
     "@langchain/google-common": ~0.0.26
-    "@langchain/scripts": ~0.0.20
+    "@langchain/scripts": ^0.0.21
     "@swc/core": ^1.3.90
     "@swc/jest": ^0.2.29
     "@tsconfig/recommended": ^1.0.3
@@ -11833,7 +11833,7 @@ __metadata:
     "@google/generative-ai": ^0.7.0
     "@jest/globals": ^29.5.0
     "@langchain/core": ">=0.2.21 <0.3.0"
-    "@langchain/scripts": ~0.0.20
+    "@langchain/scripts": ^0.0.21
     "@langchain/standard-tests": 0.0.0
     "@swc/core": ^1.3.90
     "@swc/jest": ^0.2.29
@@ -11868,7 +11868,7 @@ __metadata:
     "@jest/globals": ^29.5.0
     "@langchain/core": ">=0.2.21 <0.3.0"
     "@langchain/google-webauth": ~0.0.26
-    "@langchain/scripts": ~0.0.20
+    "@langchain/scripts": ^0.0.21
     "@swc/core": ^1.3.90
     "@swc/jest": ^0.2.29
     "@tsconfig/recommended": ^1.0.3
@@ -11901,7 +11901,7 @@ __metadata:
     "@langchain/core": ">=0.2.21 <0.3.0"
     "@langchain/google-common": ~0.0
     "@langchain/google-gauth": ~0.0.26
-    "@langchain/scripts": ~0.0.20
+    "@langchain/scripts": ^0.0.21
     "@langchain/standard-tests": 0.0.0
     "@swc/core": ^1.3.90
     "@swc/jest": ^0.2.29
@@ -11934,7 +11934,7 @@ __metadata:
     "@jest/globals": ^29.5.0
     "@langchain/core": ">=0.2.21 <0.3.0"
     "@langchain/google-common": ~0.0.26
-    "@langchain/scripts": ~0.0.20
+    "@langchain/scripts": ^0.0.21
     "@swc/core": ^1.3.90
     "@swc/jest": ^0.2.29
     "@tsconfig/recommended": ^1.0.3
@@ -11979,7 +11979,7 @@ __metadata:
     "@jest/globals": ^29.5.0
     "@langchain/core": ">=0.2.21 <0.3.0"
     "@langchain/openai": "workspace:^"
-    "@langchain/scripts": ~0.0.20
+    "@langchain/scripts": ^0.0.21
     "@langchain/standard-tests": 0.0.0
     "@swc/core": ^1.3.90
     "@swc/jest": ^0.2.29
@@ -12075,7 +12075,7 @@ __metadata:
   dependencies:
     "@jest/globals": ^29.5.0
     "@langchain/core": ">=0.2.21 <0.3.0"
-    "@langchain/scripts": ~0.0.20
+    "@langchain/scripts": ^0.0.21
     "@langchain/standard-tests": 0.0.0
     "@mistralai/mistralai": ^1.1.0
     "@swc/core": ^1.3.90
@@ -12110,7 +12110,7 @@ __metadata:
   dependencies:
     "@jest/globals": ^29.5.0
     "@langchain/core": ">=0.2.5 <0.3.0"
-    "@langchain/scripts": ~0.0.20
+    "@langchain/scripts": ^0.0.21
     "@langchain/standard-tests": 0.0.0
     "@mixedbread-ai/sdk": ^2.2.3
     "@swc/core": ^1.3.90
@@ -12144,7 +12144,7 @@ __metadata:
     "@jest/globals": ^29.5.0
     "@langchain/core": ">0.1.0 <0.3.0"
     "@langchain/openai": "workspace:*"
-    "@langchain/scripts": ~0.0.20
+    "@langchain/scripts": ^0.0.21
     "@swc/core": ^1.3.90
     "@swc/jest": ^0.2.29
     "@tsconfig/recommended": ^1.0.3
@@ -12178,7 +12178,7 @@ __metadata:
     "@jest/globals": ^29.5.0
     "@langchain/core": ">0.1.0 <0.3.0"
     "@langchain/openai": "workspace:^"
-    "@langchain/scripts": ~0.0.20
+    "@langchain/scripts": ^0.0.21
     "@nomic-ai/atlas": ^0.8.0
     "@swc/core": ^1.3.90
     "@swc/jest": ^0.2.29
@@ -12221,7 +12221,7 @@ __metadata:
   dependencies:
     "@jest/globals": ^29.5.0
     "@langchain/core": ">=0.2.21 <0.3.0"
-    "@langchain/scripts": ~0.0.20
+    "@langchain/scripts": ^0.0.21
     "@langchain/standard-tests": 0.0.0
     "@swc/core": ^1.3.90
     "@swc/jest": ^0.2.29
@@ -12257,7 +12257,7 @@ __metadata:
     "@azure/identity": ^4.2.1
     "@jest/globals": ^29.5.0
     "@langchain/core": ">=0.2.21 <0.3.0"
-    "@langchain/scripts": ~0.0.20
+    "@langchain/scripts": ^0.0.21
     "@langchain/standard-tests": 0.0.0
     "@swc/core": ^1.3.90
     "@swc/jest": ^0.2.29
@@ -12304,7 +12304,7 @@ __metadata:
     "@jest/globals": ^29.5.0
     "@langchain/core": ">0.2.0 <0.3.0"
     "@langchain/openai": "workspace:*"
-    "@langchain/scripts": ~0.0.20
+    "@langchain/scripts": ^0.0.21
     "@pinecone-database/pinecone": ^3.0.0
     "@swc/core": ^1.3.90
     "@swc/jest": ^0.2.29
@@ -12339,7 +12339,7 @@ __metadata:
     "@faker-js/faker": ^8.4.1
     "@jest/globals": ^29.5.0
     "@langchain/core": ">0.1.0 <0.3.0"
-    "@langchain/scripts": ~0.0.20
+    "@langchain/scripts": ^0.0.21
     "@qdrant/js-client-rest": ^1.9.0
     "@swc/core": ^1.3.90
     "@swc/jest": ^0.2.29
@@ -12373,7 +12373,7 @@ __metadata:
     "@faker-js/faker": ^8.4.0
     "@jest/globals": ^29.5.0
     "@langchain/core": ">0.1.0 <0.3.0"
-    "@langchain/scripts": ~0.0.20
+    "@langchain/scripts": ^0.0.21
     "@swc/core": ^1.3.90
     "@swc/jest": ^0.2.29
     "@tsconfig/recommended": ^1.0.3
@@ -12400,7 +12400,7 @@ __metadata:
   languageName: unknown
   linkType: soft
 
-"@langchain/scripts@workspace:*, @langchain/scripts@workspace:libs/langchain-scripts, @langchain/scripts@~0.0, @langchain/scripts@~0.0.20":
+"@langchain/scripts@^0.0.21, @langchain/scripts@workspace:*, @langchain/scripts@workspace:libs/langchain-scripts, @langchain/scripts@~0.0":
   version: 0.0.0-use.local
   resolution: "@langchain/scripts@workspace:libs/langchain-scripts"
   dependencies:
@@ -12438,6 +12438,7 @@ __metadata:
   bin:
     lc-build: bin/build.js
     lc_build_v2: bin/build_v2.js
+    notebook_validate: bin/validate_notebook.js
   languageName: unknown
   linkType: soft
 
@@ -12479,7 +12480,7 @@ __metadata:
   dependencies:
     "@jest/globals": ^29.5.0
     "@langchain/core": ">0.2.0 <0.3.0"
-    "@langchain/scripts": ~0.0.20
+    "@langchain/scripts": ^0.0.21
     "@swc/core": ^1.3.90
     "@swc/jest": ^0.2.29
     "@tsconfig/recommended": ^1.0.3
@@ -12511,7 +12512,7 @@ __metadata:
     "@jest/globals": ^29.5.0
     "@langchain/core": ">0.2.0 <0.3.0"
     "@langchain/openai": "workspace:^"
-    "@langchain/scripts": ~0.0.20
+    "@langchain/scripts": ^0.0.21
     "@swc/core": ^1.3.90
     "@swc/jest": ^0.2.29
     "@tsconfig/recommended": ^1.0.3
@@ -12545,7 +12546,7 @@ __metadata:
   dependencies:
     "@jest/globals": ^29.5.0
     "@langchain/core": ">0.1.0  <0.3.0"
-    "@langchain/scripts": ~0.0.20
+    "@langchain/scripts": ^0.0.21
     "@swc/core": ^1.3.90
     "@swc/jest": ^0.2.29
     "@tsconfig/recommended": ^1.0.3
@@ -26690,7 +26691,7 @@ __metadata:
     "@langchain/pinecone": "workspace:*"
     "@langchain/qdrant": "workspace:*"
     "@langchain/redis": "workspace:*"
-    "@langchain/scripts": ~0.0.20
+    "@langchain/scripts": ^0.0.21
     "@langchain/textsplitters": "workspace:*"
     "@langchain/weaviate": "workspace:*"
     "@langchain/yandex": "workspace:*"
@@ -32055,7 +32056,7 @@ __metadata:
     "@langchain/mistralai": ^0.0.26
     "@langchain/ollama": ^0.0.2
     "@langchain/openai": ">=0.1.0 <0.3.0"
-    "@langchain/scripts": ~0.0.20
+    "@langchain/scripts": ^0.0.21
     "@langchain/textsplitters": ~0.0.0
     "@mendable/firecrawl-js": ^0.0.13
     "@notionhq/client": ^2.2.10

From f3d7e9e217fc7302a2e8ffd3084a1aea00dc11a0 Mon Sep 17 00:00:00 2001
From: Brace Sproul <braceasproul@gmail.com>
Date: Fri, 16 Aug 2024 12:40:27 -0700
Subject: [PATCH 046/344] openai[minor]: Add support for json schema response
 format (#6438)

* openai[minor]: Add support for json schema response format

* cr

* lowkey I did it?

* add tests and more implementation details

* fix build yo

* cr

* fix build
---
 langchain-core/src/language_models/base.ts    |   2 +-
 libs/langchain-openai/langchain.config.js     |   2 +-
 libs/langchain-openai/src/chat_models.ts      | 154 ++++++++++++++--
 .../chat_models_structured_output.int.test.ts | 174 +++++++++++++++++-
 libs/langchain-openai/src/types.ts            |  25 +++
 libs/langchain-openai/src/utils/tools.ts      |  65 +++++++
 6 files changed, 403 insertions(+), 19 deletions(-)
 create mode 100644 libs/langchain-openai/src/utils/tools.ts

diff --git a/langchain-core/src/language_models/base.ts b/langchain-core/src/language_models/base.ts
index cea8ca2f9ae3..c72fd150dc86 100644
--- a/langchain-core/src/language_models/base.ts
+++ b/langchain-core/src/language_models/base.ts
@@ -269,7 +269,7 @@ export type StructuredOutputType = z.infer<z.ZodObject<any, any, any, any>>;
 export type StructuredOutputMethodOptions<IncludeRaw extends boolean = false> =
   {
     name?: string;
-    method?: "functionCalling" | "jsonMode";
+    method?: "functionCalling" | "jsonMode" | "jsonSchema" | string;
     includeRaw?: IncludeRaw;
   };
 
diff --git a/libs/langchain-openai/langchain.config.js b/libs/langchain-openai/langchain.config.js
index 416001cb4772..37cd5f682c5d 100644
--- a/libs/langchain-openai/langchain.config.js
+++ b/libs/langchain-openai/langchain.config.js
@@ -11,7 +11,7 @@ function abs(relativePath) {
 
 
 export const config = {
-  internals: [/node\:/, /@langchain\/core\//],
+  internals: [/node\:/, /@langchain\/core\//, "openai/helpers/zod"],
   entrypoints: {
     index: "index",
   },
diff --git a/libs/langchain-openai/src/chat_models.ts b/libs/langchain-openai/src/chat_models.ts
index d59937b2fda1..22113d5235ab 100644
--- a/libs/langchain-openai/src/chat_models.ts
+++ b/libs/langchain-openai/src/chat_models.ts
@@ -36,7 +36,6 @@ import {
   type StructuredOutputMethodParams,
 } from "@langchain/core/language_models/base";
 import { NewTokenIndices } from "@langchain/core/callbacks/base";
-import { convertToOpenAITool } from "@langchain/core/utils/function_calling";
 import { z } from "zod";
 import {
   Runnable,
@@ -56,12 +55,20 @@ import {
 } from "@langchain/core/output_parsers/openai_tools";
 import { zodToJsonSchema } from "zod-to-json-schema";
 import { ToolCallChunk } from "@langchain/core/messages/tool";
+import { zodResponseFormat } from "openai/helpers/zod";
+import type {
+  ResponseFormatText,
+  ResponseFormatJSONObject,
+  ResponseFormatJSONSchema,
+} from "openai/resources/shared";
+import { ParsedChatCompletion } from "openai/resources/beta/chat/completions.mjs";
 import type {
   AzureOpenAIInput,
   OpenAICallOptions,
   OpenAIChatInput,
   OpenAICoreRequestOptions,
   LegacyOpenAIInput,
+  ChatOpenAIResponseFormat,
 } from "./types.js";
 import { type OpenAIEndpointConfig, getEndpoint } from "./utils/azure.js";
 import {
@@ -73,6 +80,7 @@ import {
   FunctionDef,
   formatFunctionDefinitions,
 } from "./utils/openai-format-fndef.js";
+import { _convertToOpenAITool } from "./utils/tools.js";
 
 export type { AzureOpenAIInput, OpenAICallOptions, OpenAIChatInput };
 
@@ -295,7 +303,7 @@ function _convertChatOpenAIToolTypeToOpenAITool(
 
     return tool;
   }
-  return convertToOpenAITool(tool, fields);
+  return _convertToOpenAITool(tool, fields);
 }
 
 export interface ChatOpenAIStructuredOutputMethodOptions<
@@ -324,7 +332,7 @@ export interface ChatOpenAICallOptions
   tools?: ChatOpenAIToolType[];
   tool_choice?: OpenAIToolChoice;
   promptIndex?: number;
-  response_format?: { type: "json_object" };
+  response_format?: ChatOpenAIResponseFormat;
   seed?: number;
   /**
    * Additional options to pass to streamed completions.
@@ -1027,6 +1035,34 @@ export class ChatOpenAI<
     } as Partial<CallOptions>);
   }
 
+  private createResponseFormat(
+    resFormat?: CallOptions["response_format"]
+  ):
+    | ResponseFormatText
+    | ResponseFormatJSONObject
+    | ResponseFormatJSONSchema
+    | undefined {
+    if (
+      resFormat &&
+      resFormat.type === "json_schema" &&
+      resFormat.json_schema.schema &&
+      isZodSchema(resFormat.json_schema.schema)
+    ) {
+      return zodResponseFormat(
+        resFormat.json_schema.schema,
+        resFormat.json_schema.name,
+        {
+          description: resFormat.json_schema.description,
+        }
+      );
+    }
+    return resFormat as
+      | ResponseFormatText
+      | ResponseFormatJSONObject
+      | ResponseFormatJSONSchema
+      | undefined;
+  }
+
   /**
    * Get the parameters used to invoke the model
    */
@@ -1049,6 +1085,7 @@ export class ChatOpenAI<
     } else if (this.streamUsage && (this.streaming || extra?.streaming)) {
       streamOptionsConfig = { stream_options: { include_usage: true } };
     }
+
     const params: Omit<
       OpenAIClient.Chat.ChatCompletionCreateParams,
       "messages"
@@ -1075,7 +1112,7 @@ export class ChatOpenAI<
           )
         : undefined,
       tool_choice: formatToOpenAIToolChoice(options?.tool_choice),
-      response_format: options?.response_format,
+      response_format: this.createResponseFormat(options?.response_format),
       seed: options?.seed,
       ...streamOptionsConfig,
       parallel_tool_calls: options?.parallel_tool_calls,
@@ -1113,6 +1150,32 @@ export class ChatOpenAI<
       stream: true as const,
     };
     let defaultRole: OpenAIRoleEnum | undefined;
+    if (
+      params.response_format &&
+      params.response_format.type === "json_schema"
+    ) {
+      console.warn(
+        `OpenAI does not yet support streaming with "response_format" set to "json_schema". Falling back to non-streaming mode.`
+      );
+      const res = await this._generate(messages, options, runManager);
+      const chunk = new ChatGenerationChunk({
+        message: new AIMessageChunk({
+          ...res.generations[0].message,
+        }),
+        text: res.generations[0].text,
+        generationInfo: res.generations[0].generationInfo,
+      });
+      yield chunk;
+      return runManager?.handleLLMNewToken(
+        res.generations[0].text ?? "",
+        undefined,
+        undefined,
+        undefined,
+        undefined,
+        { chunk }
+      );
+    }
+
     const streamIterable = await this.completionWithRetry(params, options);
     let usage: OpenAIClient.Completions.CompletionUsage | undefined;
     for await (const data of streamIterable) {
@@ -1248,17 +1311,36 @@ export class ChatOpenAI<
       tokenUsage.totalTokens = promptTokenUsage + completionTokenUsage;
       return { generations, llmOutput: { estimatedTokenUsage: tokenUsage } };
     } else {
-      const data = await this.completionWithRetry(
-        {
-          ...params,
-          stream: false,
-          messages: messagesMapped,
-        },
-        {
-          signal: options?.signal,
-          ...options?.options,
-        }
-      );
+      let data;
+      if (
+        options.response_format &&
+        options.response_format.type === "json_schema"
+      ) {
+        data = await this.betaParsedCompletionWithRetry(
+          {
+            ...params,
+            stream: false,
+            messages: messagesMapped,
+          },
+          {
+            signal: options?.signal,
+            ...options?.options,
+          }
+        );
+      } else {
+        data = await this.completionWithRetry(
+          {
+            ...params,
+            stream: false,
+            messages: messagesMapped,
+          },
+          {
+            signal: options?.signal,
+            ...options?.options,
+          }
+        );
+      }
+
       const {
         completion_tokens: completionTokens,
         prompt_tokens: promptTokens,
@@ -1478,6 +1560,31 @@ export class ChatOpenAI<
     });
   }
 
+  /**
+   * Call the beta chat completions parse endpoint. This should only be called if
+   * response_format is set to "json_object".
+   * @param {OpenAIClient.Chat.ChatCompletionCreateParamsNonStreaming} request
+   * @param {OpenAICoreRequestOptions | undefined} options
+   */
+  async betaParsedCompletionWithRetry(
+    request: OpenAIClient.Chat.ChatCompletionCreateParamsNonStreaming,
+    options?: OpenAICoreRequestOptions
+  ): Promise<ParsedChatCompletion<null>> {
+    const requestOptions = this._getClientOptions(options);
+    return this.caller.call(async () => {
+      try {
+        const res = await this.client.beta.chat.completions.parse(
+          request,
+          requestOptions
+        );
+        return res;
+      } catch (e) {
+        const error = wrapOpenAIClientError(e);
+        throw error;
+      }
+    });
+  }
+
   protected _getClientOptions(options: OpenAICoreRequestOptions | undefined) {
     if (!this.client) {
       const openAIEndpointConfig: OpenAIEndpointConfig = {
@@ -1620,6 +1727,23 @@ export class ChatOpenAI<
       } else {
         outputParser = new JsonOutputParser<RunOutput>();
       }
+    } else if (method === "jsonSchema") {
+      llm = this.bind({
+        response_format: {
+          type: "json_schema",
+          json_schema: {
+            name: name ?? "extract",
+            description: schema.description,
+            schema,
+            strict: config?.strict,
+          },
+        },
+      } as Partial<CallOptions>);
+      if (isZodSchema(schema)) {
+        outputParser = StructuredOutputParser.fromZodSchema(schema);
+      } else {
+        outputParser = new JsonOutputParser<RunOutput>();
+      }
     } else {
       let functionName = name ?? "extract";
       // Is function calling
diff --git a/libs/langchain-openai/src/tests/chat_models_structured_output.int.test.ts b/libs/langchain-openai/src/tests/chat_models_structured_output.int.test.ts
index bc0328357a73..650cf0434b5f 100644
--- a/libs/langchain-openai/src/tests/chat_models_structured_output.int.test.ts
+++ b/libs/langchain-openai/src/tests/chat_models_structured_output.int.test.ts
@@ -1,8 +1,9 @@
 import { z } from "zod";
 import { zodToJsonSchema } from "zod-to-json-schema";
 import { ChatPromptTemplate } from "@langchain/core/prompts";
-import { AIMessage } from "@langchain/core/messages";
-import { test, expect } from "@jest/globals";
+import { AIMessage, AIMessageChunk } from "@langchain/core/messages";
+import { test, expect, describe, it } from "@jest/globals";
+import { concat } from "@langchain/core/utils/stream";
 import { ChatOpenAI } from "../chat_models.js";
 
 test("withStructuredOutput zod schema function calling", async () => {
@@ -355,3 +356,172 @@ test("Passing strict true forces the model to conform to the schema", async () =
   expect(result.tool_calls?.[0].args).toHaveProperty("location");
   console.log(result.tool_calls?.[0].args);
 });
+
+describe("response_format: json_schema", () => {
+  const weatherSchema = z.object({
+    city: z.string().describe("The city to get the weather for"),
+    state: z.string().describe("The state to get the weather for"),
+    zipCode: z.string().describe("The zip code to get the weather for"),
+    unit: z
+      .enum(["fahrenheit", "celsius"])
+      .describe("The unit to get the weather in"),
+  });
+
+  it("can invoke", async () => {
+    const model = new ChatOpenAI({
+      model: "gpt-4o-2024-08-06",
+    }).bind({
+      response_format: {
+        type: "json_schema",
+        json_schema: {
+          name: "get_current_weather",
+          description: "Get the current weather in a location",
+          schema: zodToJsonSchema(weatherSchema),
+          strict: true,
+        },
+      },
+    });
+
+    const response = await model.invoke(
+      "What is the weather in San Francisco, 91626 CA?"
+    );
+    const parsed = JSON.parse(response.content as string);
+    expect(parsed).toHaveProperty("city");
+    expect(parsed).toHaveProperty("state");
+    expect(parsed).toHaveProperty("zipCode");
+    expect(parsed).toHaveProperty("unit");
+  });
+
+  it("can stream", async () => {
+    const model = new ChatOpenAI({
+      model: "gpt-4o-2024-08-06",
+    }).bind({
+      response_format: {
+        type: "json_schema",
+        json_schema: {
+          name: "get_current_weather",
+          description: "Get the current weather in a location",
+          schema: zodToJsonSchema(weatherSchema),
+          strict: true,
+        },
+      },
+    });
+
+    const stream = await model.stream(
+      "What is the weather in San Francisco, 91626 CA?"
+    );
+    let full: AIMessageChunk | undefined;
+    for await (const chunk of stream) {
+      full = !full ? chunk : concat(full, chunk);
+    }
+    expect(full).toBeDefined();
+    if (!full) return;
+
+    const parsed = JSON.parse(full.content as string);
+    expect(parsed).toHaveProperty("city");
+    expect(parsed).toHaveProperty("state");
+    expect(parsed).toHaveProperty("zipCode");
+    expect(parsed).toHaveProperty("unit");
+  });
+
+  it("can invoke with a zod schema passed in", async () => {
+    const model = new ChatOpenAI({
+      model: "gpt-4o-2024-08-06",
+    }).bind({
+      response_format: {
+        type: "json_schema",
+        json_schema: {
+          name: "get_current_weather",
+          description: "Get the current weather in a location",
+          schema: weatherSchema,
+          strict: true,
+        },
+      },
+    });
+
+    const response = await model.invoke(
+      "What is the weather in San Francisco, 91626 CA?"
+    );
+    const parsed = JSON.parse(response.content as string);
+    expect(parsed).toHaveProperty("city");
+    expect(parsed).toHaveProperty("state");
+    expect(parsed).toHaveProperty("zipCode");
+    expect(parsed).toHaveProperty("unit");
+  });
+
+  it("can stream with a zod schema passed in", async () => {
+    const model = new ChatOpenAI({
+      model: "gpt-4o-2024-08-06",
+    }).bind({
+      response_format: {
+        type: "json_schema",
+        json_schema: {
+          name: "get_current_weather",
+          description: "Get the current weather in a location",
+          schema: weatherSchema,
+          strict: true,
+        },
+      },
+    });
+
+    const stream = await model.stream(
+      "What is the weather in San Francisco, 91626 CA?"
+    );
+    let full: AIMessageChunk | undefined;
+    for await (const chunk of stream) {
+      full = !full ? chunk : concat(full, chunk);
+    }
+    expect(full).toBeDefined();
+    if (!full) return;
+
+    const parsed = JSON.parse(full.content as string);
+    expect(parsed).toHaveProperty("city");
+    expect(parsed).toHaveProperty("state");
+    expect(parsed).toHaveProperty("zipCode");
+    expect(parsed).toHaveProperty("unit");
+  });
+
+  it("can be invoked with WSO", async () => {
+    const model = new ChatOpenAI({
+      model: "gpt-4o-2024-08-06",
+    }).withStructuredOutput(weatherSchema, {
+      name: "get_current_weather",
+      method: "jsonSchema",
+      strict: true,
+    });
+
+    const response = await model.invoke(
+      "What is the weather in San Francisco, 91626 CA?"
+    );
+    expect(response).toHaveProperty("city");
+    expect(response).toHaveProperty("state");
+    expect(response).toHaveProperty("zipCode");
+    expect(response).toHaveProperty("unit");
+  });
+
+  it("can be streamed with WSO", async () => {
+    const model = new ChatOpenAI({
+      model: "gpt-4o-2024-08-06",
+    }).withStructuredOutput(weatherSchema, {
+      name: "get_current_weather",
+      method: "jsonSchema",
+      strict: true,
+    });
+
+    const stream = await model.stream(
+      "What is the weather in San Francisco, 91626 CA?"
+    );
+    // It should yield a single chunk
+    let full: z.infer<typeof weatherSchema> | undefined;
+    for await (const chunk of stream) {
+      full = chunk;
+    }
+    expect(full).toBeDefined();
+    if (!full) return;
+
+    expect(full).toHaveProperty("city");
+    expect(full).toHaveProperty("state");
+    expect(full).toHaveProperty("zipCode");
+    expect(full).toHaveProperty("unit");
+  });
+});
diff --git a/libs/langchain-openai/src/types.ts b/libs/langchain-openai/src/types.ts
index 0d93089619e2..04d8865713d4 100644
--- a/libs/langchain-openai/src/types.ts
+++ b/libs/langchain-openai/src/types.ts
@@ -1,7 +1,13 @@
 import type { OpenAI as OpenAIClient } from "openai";
+import type {
+  ResponseFormatText,
+  ResponseFormatJSONObject,
+  ResponseFormatJSONSchema,
+} from "openai/resources/shared";
 
 import { TiktokenModel } from "js-tiktoken/lite";
 import type { BaseLanguageModelCallOptions } from "@langchain/core/language_models/base";
+import type { z } from "zod";
 
 // reexport this type from the included package so we can easily override and extend it if needed in the future
 // also makes it easier for folks to import this type without digging around into the dependent packages
@@ -222,3 +228,22 @@ export declare interface AzureOpenAIInput {
    */
   azureADTokenProvider?: () => Promise<string>;
 }
+
+type ChatOpenAIResponseFormatJSONSchema = Omit<
+  ResponseFormatJSONSchema,
+  "json_schema"
+> & {
+  json_schema: Omit<ResponseFormatJSONSchema["json_schema"], "schema"> & {
+    /**
+     * The schema for the response format, described as a JSON Schema object
+     * or a Zod object.
+     */
+    // eslint-disable-next-line @typescript-eslint/no-explicit-any
+    schema: Record<string, any> | z.ZodObject<any, any, any, any>;
+  };
+};
+
+export type ChatOpenAIResponseFormat =
+  | ResponseFormatText
+  | ResponseFormatJSONObject
+  | ChatOpenAIResponseFormatJSONSchema;
diff --git a/libs/langchain-openai/src/utils/tools.ts b/libs/langchain-openai/src/utils/tools.ts
new file mode 100644
index 000000000000..4a9d4e196ad1
--- /dev/null
+++ b/libs/langchain-openai/src/utils/tools.ts
@@ -0,0 +1,65 @@
+import { ToolDefinition } from "@langchain/core/language_models/base";
+import { BindToolsInput } from "@langchain/core/language_models/chat_models";
+import {
+  convertToOpenAIFunction,
+  isLangChainTool,
+} from "@langchain/core/utils/function_calling";
+import { zodFunction } from "openai/helpers/zod";
+
+/**
+ * Formats a tool in either OpenAI format, or LangChain structured tool format
+ * into an OpenAI tool format. If the tool is already in OpenAI format, return without
+ * any changes. If it is in LangChain structured tool format, convert it to OpenAI tool format
+ * using OpenAI's `zodFunction` util, falling back to `convertToOpenAIFunction` if the parameters
+ * returned from the `zodFunction` util are not defined.
+ *
+ * @param {BindToolsInput} tool The tool to convert to an OpenAI tool.
+ * @param {Object} [fields] Additional fields to add to the OpenAI tool.
+ * @returns {ToolDefinition} The inputted tool in OpenAI tool format.
+ */
+export function _convertToOpenAITool(
+  // eslint-disable-next-line @typescript-eslint/no-explicit-any
+  tool: BindToolsInput,
+  fields?: {
+    /**
+     * If `true`, model output is guaranteed to exactly match the JSON Schema
+     * provided in the function definition.
+     */
+    strict?: boolean;
+  }
+): ToolDefinition {
+  let toolDef: ToolDefinition | undefined;
+
+  if (isLangChainTool(tool)) {
+    const oaiToolDef = zodFunction({
+      name: tool.name,
+      parameters: tool.schema,
+      description: tool.description,
+    });
+    if (!oaiToolDef.function.parameters) {
+      // Fallback to the `convertToOpenAIFunction` util if the parameters are not defined.
+      toolDef = {
+        type: "function",
+        function: convertToOpenAIFunction(tool, fields),
+      };
+    } else {
+      toolDef = {
+        type: oaiToolDef.type,
+        function: {
+          name: oaiToolDef.function.name,
+          description: oaiToolDef.function.description,
+          parameters: oaiToolDef.function.parameters,
+          ...(fields?.strict !== undefined ? { strict: fields.strict } : {}),
+        },
+      };
+    }
+  } else {
+    toolDef = tool as ToolDefinition;
+  }
+
+  if (fields?.strict !== undefined) {
+    toolDef.function.strict = fields.strict;
+  }
+
+  return toolDef;
+}

From 7482d6c616aa0cd579c5a794059b3cbc5713cfca Mon Sep 17 00:00:00 2001
From: Brace Sproul <braceasproul@gmail.com>
Date: Fri, 16 Aug 2024 12:41:34 -0700
Subject: [PATCH 047/344] google[minor]: Add audio tests and audio file for
 google genai and vertex (#6553)

* google[minor]: Add audio tests and audio file for google genai and vertex

* format and lint
---
 .../src/tests/chat_models.int.test.ts         |  10 ++--
 .../src/tests/data/gettysburg10.wav           | Bin 0 -> 441180 bytes
 .../src/tests/chat_models.int.test.ts         |  49 ++++++++++++++++++
 3 files changed, 54 insertions(+), 5 deletions(-)
 create mode 100644 libs/langchain-google-genai/src/tests/data/gettysburg10.wav

diff --git a/libs/langchain-google-genai/src/tests/chat_models.int.test.ts b/libs/langchain-google-genai/src/tests/chat_models.int.test.ts
index ddf5aee6bfc7..765240a73ffa 100644
--- a/libs/langchain-google-genai/src/tests/chat_models.int.test.ts
+++ b/libs/langchain-google-genai/src/tests/chat_models.int.test.ts
@@ -180,15 +180,15 @@ async function fileToBase64(filePath: string): Promise<string> {
   return base64String;
 }
 
-test.skip("Gemini can understand audio", async () => {
+test("Gemini can understand audio", async () => {
   // Update this with the correct path to an audio file on your machine.
-  const audioPath =
-    "/Users/bracesproul/code/lang-chain-ai/langchainjs/libs/langchain-google-gauth/src/tests/data/audio.mp3";
-  const audioMimeType = "audio/mp3";
+  const audioPath = "./src/tests/data/gettysburg10.wav";
+  const audioMimeType = "audio/wav";
 
   const model = new ChatGoogleGenerativeAI({
-    model: "gemini-1.5-pro-latest",
+    model: "gemini-1.5-flash",
     temperature: 0,
+    maxRetries: 0,
   });
 
   const audioBase64 = await fileToBase64(audioPath);
diff --git a/libs/langchain-google-genai/src/tests/data/gettysburg10.wav b/libs/langchain-google-genai/src/tests/data/gettysburg10.wav
new file mode 100644
index 0000000000000000000000000000000000000000..10437f541c8b4315ecf7bd38412d419d53815155
GIT binary patch
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wU-|#Hb{-XYHBnZ0j%wItH#=(Ux3tsR<&Ke+{jHN+=<mkxEu?rI`)-%>e^n3iumAu6

literal 0
HcmV?d00001

diff --git a/libs/langchain-google-vertexai/src/tests/chat_models.int.test.ts b/libs/langchain-google-vertexai/src/tests/chat_models.int.test.ts
index d6c2d2b77dec..a5b9b1001218 100644
--- a/libs/langchain-google-vertexai/src/tests/chat_models.int.test.ts
+++ b/libs/langchain-google-vertexai/src/tests/chat_models.int.test.ts
@@ -1,4 +1,5 @@
 import { test } from "@jest/globals";
+import fs from "fs/promises";
 import { BaseLanguageModelInput } from "@langchain/core/language_models/base";
 import { ChatPromptValue } from "@langchain/core/prompt_values";
 import {
@@ -14,6 +15,10 @@ import {
 import { tool } from "@langchain/core/tools";
 import { z } from "zod";
 import { concat } from "@langchain/core/utils/stream";
+import {
+  ChatPromptTemplate,
+  MessagesPlaceholder,
+} from "@langchain/core/prompts";
 import { GeminiTool } from "../types.js";
 import { ChatVertexAI } from "../chat_models.js";
 
@@ -352,3 +357,47 @@ test("ChatGoogleGenerativeAI can stream tools", async () => {
   expect(toolCalls[0].name).toBe("current_weather_tool");
   expect(toolCalls[0].args).toHaveProperty("location");
 });
+
+async function fileToBase64(filePath: string): Promise<string> {
+  const fileData = await fs.readFile(filePath);
+  const base64String = Buffer.from(fileData).toString("base64");
+  return base64String;
+}
+
+test("Gemini can understand audio", async () => {
+  // Update this with the correct path to an audio file on your machine.
+  const audioPath = "../langchain-google-genai/src/tests/data/gettysburg10.wav";
+  const audioMimeType = "audio/wav";
+
+  const model = new ChatVertexAI({
+    model: "gemini-1.5-flash",
+    temperature: 0,
+    maxRetries: 0,
+  });
+
+  const audioBase64 = await fileToBase64(audioPath);
+
+  const prompt = ChatPromptTemplate.fromMessages([
+    new MessagesPlaceholder("audio"),
+  ]);
+
+  const chain = prompt.pipe(model);
+  const response = await chain.invoke({
+    audio: new HumanMessage({
+      content: [
+        {
+          type: "media",
+          mimeType: audioMimeType,
+          data: audioBase64,
+        },
+        {
+          type: "text",
+          text: "Summarize the content in this audio. ALso, what is the speaker's tone?",
+        },
+      ],
+    }),
+  });
+
+  expect(typeof response.content).toBe("string");
+  expect((response.content as string).length).toBeGreaterThan(15);
+});

From d51102df77e88a95bd5210384f4a48499551a4c6 Mon Sep 17 00:00:00 2001
From: Brace Sproul <braceasproul@gmail.com>
Date: Fri, 16 Aug 2024 12:41:52 -0700
Subject: [PATCH 048/344] ci[minor]: Run fireworks and gvertex in daily
 standard tests (#6507)

* ci[minor]: Run fireworks and gvertex in daily standard tests

* update gvertex standard test secrets parsing

* cr

* undo yarn install command

* add standard tests to web

* update tests

* revert non web test changes

* update secret name in gh action

* skip aws retriever tests

* dynamic env injection

* dynamic env injection
---
 .github/workflows/standard-tests.yml          |  42 ++++--
 .../src/retrievers/tests/bedrock.int.test.ts  |   2 +-
 .../src/retrievers/tests/kendra.int.test.ts   |   2 +-
 .../package.json                              |   2 +
 .../src/tests/chat_models.int.test.ts         |  42 ++----
 .../tests/chat_models.standard.int.test.ts    |  61 +++++++++
 .../src/tests/chat_models.standard.test.ts    |  39 ++++++
 .../src/tests/llms.int.test.ts                | 122 +-----------------
 yarn.lock                                     |   2 +
 9 files changed, 146 insertions(+), 168 deletions(-)
 create mode 100644 libs/langchain-google-vertexai-web/src/tests/chat_models.standard.int.test.ts
 create mode 100644 libs/langchain-google-vertexai-web/src/tests/chat_models.standard.test.ts

diff --git a/.github/workflows/standard-tests.yml b/.github/workflows/standard-tests.yml
index f732f1f3c8d7..21048ad6710d 100644
--- a/.github/workflows/standard-tests.yml
+++ b/.github/workflows/standard-tests.yml
@@ -11,7 +11,7 @@ jobs:
     strategy:
       fail-fast: false
       matrix:
-        package: [anthropic, cohere, google-genai, groq, mistralai, aws]
+        package: [anthropic, cohere, google-genai, groq, mistralai, aws, google-vertexai-web]
     steps:
       - uses: actions/checkout@v4
       - name: Use Node.js 18.x
@@ -24,16 +24,15 @@ jobs:
       - name: Run integration tests for ${{ matrix.package }}
         run: yarn turbo test:integration --filter=@langchain/${{ matrix.package }}
         env:
-          ANTHROPIC_API_KEY: ${{ secrets.ANTHROPIC_API_KEY }}
-          COHERE_API_KEY: ${{ secrets.COHERE_API_KEY }}
-          GOOGLE_API_KEY: ${{ secrets.GOOGLE_API_KEY }}
-          GROQ_API_KEY: ${{ secrets.GROQ_API_KEY }}
-          MISTRAL_API_KEY: ${{ secrets.MISTRAL_API_KEY }}
-          DISABLE_CONSOLE_LOGS: "true"
-          # @langchain/aws credentials
-          BEDROCK_AWS_ACCESS_KEY_ID: ${{ secrets.BEDROCK_AWS_ACCESS_KEY_ID }}
-          BEDROCK_AWS_SECRET_ACCESS_KEY: ${{ secrets.BEDROCK_AWS_SECRET_ACCESS_KEY }}
-          BEDROCK_AWS_REGION: "us-east-1"
+          ANTHROPIC_API_KEY: ${{ matrix.package == 'anthropic' && secrets.ANTHROPIC_API_KEY || '' }}
+          COHERE_API_KEY: ${{ matrix.package == 'cohere' && secrets.COHERE_API_KEY || '' }}
+          GOOGLE_API_KEY: ${{ matrix.package == 'google-genai' && secrets.GOOGLE_API_KEY || '' }}
+          GROQ_API_KEY: ${{ matrix.package == 'groq' && secrets.GROQ_API_KEY || '' }}
+          MISTRAL_API_KEY: ${{ matrix.package == 'mistralai' && secrets.MISTRAL_API_KEY || '' }}
+          BEDROCK_AWS_ACCESS_KEY_ID: ${{ matrix.package == 'aws' && secrets.BEDROCK_AWS_ACCESS_KEY_ID || '' }}
+          BEDROCK_AWS_SECRET_ACCESS_KEY: ${{ matrix.package == 'aws' && secrets.BEDROCK_AWS_SECRET_ACCESS_KEY || '' }}
+          BEDROCK_AWS_REGION: ${{ matrix.package == 'aws' && 'us-east-1' || '' }}
+          GOOGLE_VERTEX_AI_WEB_CREDENTIALS: ${{ matrix.package == 'google-vertexai-web' && secrets.GOOGLE_VERTEX_AI_WEB_CREDENTIALS || '' }}
 
   # The `@langchain/openai` package contains standard tests for ChatOpenAI and AzureChatOpenAI
   # We want to run these separately, so we need to pass the exact path for each test, which means
@@ -55,7 +54,6 @@ jobs:
         run: yarn workspace @langchain/openai test:single src/tests/chat_models_structured_output.int.test.ts src/tests/chat_models-extended.int.test.ts src/tests/chat_models-vision.int.test.ts src/tests/chat_models.int.test.ts src/tests/chat_models.standard.int.test.ts
         env:
           OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
-          DISABLE_CONSOLE_LOGS: "true"
 
   standard-tests-azure-openai:
     runs-on: ubuntu-latest
@@ -77,7 +75,6 @@ jobs:
           AZURE_OPENAI_API_DEPLOYMENT_NAME: "chat"
           AZURE_OPENAI_API_VERSION: ${{ secrets.AZURE_OPENAI_API_VERSION }}
           AZURE_OPENAI_BASE_PATH: ${{ secrets.AZURE_OPENAI_BASE_PATH }}
-          DISABLE_CONSOLE_LOGS: "true"
 
   standard-tests-bedrock:
     runs-on: ubuntu-latest
@@ -98,4 +95,21 @@ jobs:
           BEDROCK_AWS_REGION: "us-east-1"
           BEDROCK_AWS_SECRET_ACCESS_KEY: ${{ secrets.BEDROCK_AWS_SECRET_ACCESS_KEY }}
           BEDROCK_AWS_ACCESS_KEY_ID: ${{ secrets.BEDROCK_AWS_ACCESS_KEY_ID }}
-          DISABLE_CONSOLE_LOGS: "true"
+
+  standard-tests-fireworks:
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v4
+      - name: Use Node.js 18.x
+        uses: actions/setup-node@v3
+        with:
+          node-version: 18.x
+          cache: "yarn"
+      - name: Install dependencies
+        run: yarn install --immutable --mode=skip-build
+      - name: Build `@langchain/community`
+        run: yarn build --filter=@langchain/community
+      - name: Run standard tests (integration) for `@langchain/community` ChatFireworks
+        run: yarn workspace @langchain/community test:single src/chat_models/tests/chatfireworks.standard.int.test.ts
+        env:
+          FIREWORKS_API_KEY: ${{ secrets.FIREWORKS_API_KEY }}
diff --git a/libs/langchain-aws/src/retrievers/tests/bedrock.int.test.ts b/libs/langchain-aws/src/retrievers/tests/bedrock.int.test.ts
index b44b91eea60d..fb735b957ca1 100644
--- a/libs/langchain-aws/src/retrievers/tests/bedrock.int.test.ts
+++ b/libs/langchain-aws/src/retrievers/tests/bedrock.int.test.ts
@@ -3,7 +3,7 @@
 import { test } from "@jest/globals";
 import { AmazonKnowledgeBaseRetriever } from "../bedrock.js";
 
-test("AmazonKnowledgeBaseRetriever", async () => {
+test.skip("AmazonKnowledgeBaseRetriever", async () => {
   if (
     !process.env.BEDROCK_AWS_REGION ||
     !process.env.BEDROCK_AWS_ACCESS_KEY_ID ||
diff --git a/libs/langchain-aws/src/retrievers/tests/kendra.int.test.ts b/libs/langchain-aws/src/retrievers/tests/kendra.int.test.ts
index f2c86f9645e1..6a3ddd7338f0 100644
--- a/libs/langchain-aws/src/retrievers/tests/kendra.int.test.ts
+++ b/libs/langchain-aws/src/retrievers/tests/kendra.int.test.ts
@@ -3,7 +3,7 @@
 import { test } from "@jest/globals";
 import { AmazonKendraRetriever } from "../kendra.js";
 
-test("AmazonKendraRetriever", async () => {
+test.skip("AmazonKendraRetriever", async () => {
   if (
     !process.env.BEDROCK_AWS_REGION ||
     !process.env.BEDROCK_AWS_ACCESS_KEY_ID ||
diff --git a/libs/langchain-google-vertexai-web/package.json b/libs/langchain-google-vertexai-web/package.json
index 599ca1c82094..916b95ff069a 100644
--- a/libs/langchain-google-vertexai-web/package.json
+++ b/libs/langchain-google-vertexai-web/package.json
@@ -45,7 +45,9 @@
   },
   "devDependencies": {
     "@jest/globals": "^29.5.0",
+    "@langchain/google-common": "~0.0",
     "@langchain/scripts": "^0.0.21",
+    "@langchain/standard-tests": "0.0.0",
     "@swc/core": "^1.3.90",
     "@swc/jest": "^0.2.29",
     "@tsconfig/recommended": "^1.0.3",
diff --git a/libs/langchain-google-vertexai-web/src/tests/chat_models.int.test.ts b/libs/langchain-google-vertexai-web/src/tests/chat_models.int.test.ts
index 96680092203c..690d235e7c9d 100644
--- a/libs/langchain-google-vertexai-web/src/tests/chat_models.int.test.ts
+++ b/libs/langchain-google-vertexai-web/src/tests/chat_models.int.test.ts
@@ -1,4 +1,4 @@
-/* eslint-disable import/no-extraneous-dependencies */
+/* eslint-disable import/no-extraneous-dependencies, no-process-env */
 
 import { z } from "zod";
 import { test } from "@jest/globals";
@@ -9,7 +9,6 @@ import {
   BaseMessageChunk,
   HumanMessage,
   SystemMessage,
-  ToolMessage,
 } from "@langchain/core/messages";
 import { BaseLanguageModelInput } from "@langchain/core/language_models/base";
 import { ChatPromptValue } from "@langchain/core/prompt_values";
@@ -36,7 +35,13 @@ class WeatherTool extends StructuredTool {
 
 describe("Google APIKey Chat", () => {
   test("invoke", async () => {
-    const model = new ChatVertexAI();
+    const model = new ChatVertexAI({
+      authOptions: {
+        credentials: JSON.parse(
+          process.env.GOOGLE_VERTEX_AI_WEB_CREDENTIALS ?? ""
+        ),
+      },
+    });
     const res = await model.invoke("What is 1 + 1?");
     // console.log(res);
     expect(res).toBeDefined();
@@ -108,37 +113,6 @@ describe("Google APIKey Chat", () => {
     );
   });
 
-  test("Few shotting with tool calls", async () => {
-    const chat = new ChatVertexAI().bindTools([new WeatherTool()]);
-    // @eslint-disable-next-line/@typescript-eslint/ban-ts-comment
-    // @ts-expect-error unused var
-    const res = await chat.invoke("What is the weather in SF");
-    // console.log(res);
-    const res2 = await chat.invoke([
-      new HumanMessage("What is the weather in SF?"),
-      new AIMessage({
-        content: "",
-        tool_calls: [
-          {
-            id: "12345",
-            name: "get_current_weather",
-            args: {
-              location: "SF",
-            },
-          },
-        ],
-      }),
-      new ToolMessage({
-        tool_call_id: "12345",
-        content: "It is currently 24 degrees with hail in SF.",
-      }),
-      new AIMessage("It is currently 24 degrees in SF with hail in SF."),
-      new HumanMessage("What did you say the weather was?"),
-    ]);
-    // console.log(res2);
-    expect(res2.content).toContain("24");
-  });
-
   test("withStructuredOutput", async () => {
     const tool = {
       name: "get_weather",
diff --git a/libs/langchain-google-vertexai-web/src/tests/chat_models.standard.int.test.ts b/libs/langchain-google-vertexai-web/src/tests/chat_models.standard.int.test.ts
new file mode 100644
index 000000000000..90d07a938322
--- /dev/null
+++ b/libs/langchain-google-vertexai-web/src/tests/chat_models.standard.int.test.ts
@@ -0,0 +1,61 @@
+/* eslint-disable no-process-env */
+import { test, expect } from "@jest/globals";
+import { ChatModelIntegrationTests } from "@langchain/standard-tests";
+import { AIMessageChunk } from "@langchain/core/messages";
+import { GoogleAIBaseLanguageModelCallOptions } from "@langchain/google-common";
+import { ChatVertexAI } from "../chat_models.js";
+
+class ChatVertexAIStandardIntegrationTests extends ChatModelIntegrationTests<
+  GoogleAIBaseLanguageModelCallOptions,
+  AIMessageChunk
+> {
+  constructor() {
+    if (!process.env.GOOGLE_VERTEX_AI_WEB_CREDENTIALS) {
+      throw new Error("Missing secrets for Google VertexAI standard tests.");
+    }
+
+    super({
+      Cls: ChatVertexAI,
+      chatModelHasToolCalling: true,
+      chatModelHasStructuredOutput: true,
+      supportsParallelToolCalls: true,
+      invokeResponseType: AIMessageChunk,
+      constructorArgs: {
+        model: "gemini-1.5-pro",
+        authOptions: {
+          credentials: JSON.parse(process.env.GOOGLE_VERTEX_AI_WEB_CREDENTIALS),
+        },
+      },
+    });
+  }
+
+  async testToolMessageHistoriesListContent() {
+    this.skipTestMessage(
+      "testToolMessageHistoriesListContent",
+      "ChatVertexAI",
+      "Not implemented."
+    );
+  }
+
+  async testInvokeMoreComplexTools() {
+    this.skipTestMessage(
+      "testInvokeMoreComplexTools",
+      "ChatVertexAI",
+      "Google VertexAI does not support tool schemas which contain object with unknown/any parameters." +
+        "Google VertexAI only supports objects in schemas when the parameters are defined."
+    );
+  }
+
+  async testParallelToolCalling() {
+    // Pass `true` in the second argument to only verify it can support parallel tool calls in the message history.
+    // This is because the model struggles to actually call parallel tools.
+    await super.testParallelToolCalling(undefined, true);
+  }
+}
+
+const testClass = new ChatVertexAIStandardIntegrationTests();
+
+test("ChatVertexAIStandardIntegrationTests", async () => {
+  const testResults = await testClass.runTests();
+  expect(testResults).toBe(true);
+});
diff --git a/libs/langchain-google-vertexai-web/src/tests/chat_models.standard.test.ts b/libs/langchain-google-vertexai-web/src/tests/chat_models.standard.test.ts
new file mode 100644
index 000000000000..75e144dc8549
--- /dev/null
+++ b/libs/langchain-google-vertexai-web/src/tests/chat_models.standard.test.ts
@@ -0,0 +1,39 @@
+/* eslint-disable no-process-env */
+import { test, expect } from "@jest/globals";
+import { ChatModelUnitTests } from "@langchain/standard-tests";
+import { AIMessageChunk } from "@langchain/core/messages";
+import { GoogleAIBaseLanguageModelCallOptions } from "@langchain/google-common";
+import { ChatVertexAI } from "../chat_models.js";
+
+class ChatVertexAIStandardUnitTests extends ChatModelUnitTests<
+  GoogleAIBaseLanguageModelCallOptions,
+  AIMessageChunk
+> {
+  constructor() {
+    super({
+      Cls: ChatVertexAI,
+      chatModelHasToolCalling: true,
+      chatModelHasStructuredOutput: true,
+      constructorArgs: {},
+    });
+    // This must be set so method like `.bindTools` or `.withStructuredOutput`
+    // which we call after instantiating the model will work.
+    // (constructor will throw if API key is not set)
+    process.env.GOOGLE_VERTEX_AI_WEB_CREDENTIALS = "test";
+  }
+
+  testChatModelInitApiKey() {
+    this.skipTestMessage(
+      "testChatModelInitApiKey",
+      "ChatVertexAI (webauth)",
+      this.multipleApiKeysRequiredMessage
+    );
+  }
+}
+
+const testClass = new ChatVertexAIStandardUnitTests();
+
+test("ChatVertexAIStandardUnitTests", () => {
+  const testResults = testClass.runTests();
+  expect(testResults).toBe(true);
+});
diff --git a/libs/langchain-google-vertexai-web/src/tests/llms.int.test.ts b/libs/langchain-google-vertexai-web/src/tests/llms.int.test.ts
index 0d02a3ae27d4..588ddd915e37 100644
--- a/libs/langchain-google-vertexai-web/src/tests/llms.int.test.ts
+++ b/libs/langchain-google-vertexai-web/src/tests/llms.int.test.ts
@@ -16,28 +16,14 @@ const imgData = {
 describe("Google APIKey LLM", () => {
   test("platform", async () => {
     const model = new VertexAI();
-    expect(model.platform).toEqual("gai");
+    expect(model.platform).toEqual("gcp");
   });
 
-  /*
-   * This test currently fails in AI Studio due to zealous safety systems
-   */
-  test("call", async () => {
-    const model = new VertexAI();
-    const res = await model.invoke("1 + 1 = ");
-    if (res.length === 1) {
-      expect(res).toBe("2");
-    } else {
-      expect(res.length).toBeGreaterThan(0);
-      // console.log("call result:", res);
-    }
-  });
-
-  test("call", async () => {
+  test("invoke", async () => {
     const model = new VertexAI();
     const res = await model.invoke("If the time is 1:00, what time is it?");
     expect(res.length).toBeGreaterThan(0);
-    expect(res.substring(0, 4)).toEqual("1:00");
+    expect(typeof res === "string").toBeTruthy();
   });
 
   test("stream", async () => {
@@ -54,106 +40,7 @@ describe("Google APIKey LLM", () => {
 
   test("predictMessage image", async () => {
     const model = new VertexAI({
-      modelName: "gemini-pro-vision",
-    });
-    const message: MessageContentComplex[] = [
-      {
-        type: "text",
-        text: "What is in this image?",
-      },
-      {
-        type: "image_url",
-        image_url: `data:image/png;base64,${imgData.blueSquare}`,
-      },
-    ];
-
-    const messages: BaseMessage[] = [
-      new HumanMessageChunk({ content: message }),
-    ];
-    const res = await model.predictMessages(messages);
-    expect(res).toBeInstanceOf(AIMessage);
-    expect(Array.isArray(res.content)).toEqual(true);
-    expect(res.content[0]).toHaveProperty("text");
-    // console.log("res", res);
-  });
-
-  test("invoke image", async () => {
-    const model = new VertexAI({
-      modelName: "gemini-pro-vision",
-    });
-    const message: MessageContentComplex[] = [
-      {
-        type: "text",
-        text: "What is in this image?",
-      },
-      {
-        type: "image_url",
-        image_url: `data:image/png;base64,${imgData.blueSquare}`,
-      },
-    ];
-
-    const messages: BaseMessage[] = [
-      new HumanMessageChunk({ content: message }),
-    ];
-    const input = new ChatPromptValue(messages);
-    const res = await model.invoke(input);
-    expect(res).toBeDefined();
-    expect(res.length).toBeGreaterThan(0);
-    // console.log("res", res);
-  });
-});
-
-describe("Google WebAuth gai LLM", () => {
-  test("platform", async () => {
-    const model = new VertexAI({
-      platformType: "gai",
-    });
-    expect(model.platform).toEqual("gai");
-  });
-
-  /*
-   * This test currently fails in AI Studio due to zealous safety systems
-   */
-  test("call", async () => {
-    const model = new VertexAI({
-      platformType: "gai",
-    });
-    const res = await model.invoke("1 + 1 = ");
-    if (res.length === 1) {
-      expect(res).toBe("2");
-    } else {
-      expect(res.length).toBeGreaterThan(0);
-      // console.log("call result:", res);
-    }
-  });
-
-  test("call", async () => {
-    const model = new VertexAI({
-      platformType: "gai",
-    });
-    const res = await model.invoke("If the time is 1:00, what time is it?");
-    expect(res.length).toBeGreaterThan(0);
-    expect(res.substring(0, 4)).toEqual("1:00");
-  });
-
-  test("stream", async () => {
-    const model = new VertexAI({
-      platformType: "gai",
-    });
-    const stream = await model.stream(
-      "What is the answer to live, the universe, and everything? Be verbose."
-    );
-    const chunks = [];
-    for await (const chunk of stream) {
-      chunks.push(chunk);
-    }
-    expect(chunks.length).toBeGreaterThan(1);
-  });
-
-  test("predictMessage image", async () => {
-    const model = new VertexAI({
-      platformType: "gai",
-      modelName: "gemini-pro-vision",
+      model: "gemini-1.5-flash",
     });
     const message: MessageContentComplex[] = [
       {
@@ -178,7 +65,6 @@ describe("Google WebAuth gai LLM", () => {
 
   test("invoke image", async () => {
     const model = new VertexAI({
-      platformType: "gai",
       modelName: "gemini-pro-vision",
     });
     const message: MessageContentComplex[] = [
diff --git a/yarn.lock b/yarn.lock
index 280bba0e0fa9..f23d3e6d9fcf 100644
--- a/yarn.lock
+++ b/yarn.lock
@@ -11867,8 +11867,10 @@ __metadata:
   dependencies:
     "@jest/globals": ^29.5.0
     "@langchain/core": ">=0.2.21 <0.3.0"
+    "@langchain/google-common": ~0.0
     "@langchain/google-webauth": ~0.0.26
     "@langchain/scripts": ^0.0.21
+    "@langchain/standard-tests": 0.0.0
     "@swc/core": ^1.3.90
     "@swc/jest": ^0.2.29
     "@tsconfig/recommended": ^1.0.3

From 7d95898094f6542f6235a2009054490b7c6a62e8 Mon Sep 17 00:00:00 2001
From: Brace Sproul <braceasproul@gmail.com>
Date: Fri, 16 Aug 2024 12:50:38 -0700
Subject: [PATCH 049/344] core[patch]: Release 0.2.26 (#6555)

---
 langchain-core/package.json | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/langchain-core/package.json b/langchain-core/package.json
index 1fcb7c21d297..890363858f1b 100644
--- a/langchain-core/package.json
+++ b/langchain-core/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/core",
-  "version": "0.2.25",
+  "version": "0.2.26",
   "description": "Core LangChain.js abstractions and schemas",
   "type": "module",
   "engines": {

From 1438365ee39ca25a309695b3d5825a561340dfd4 Mon Sep 17 00:00:00 2001
From: Brace Sproul <braceasproul@gmail.com>
Date: Fri, 16 Aug 2024 13:03:34 -0700
Subject: [PATCH 050/344] openai[minor]: Bump min core version (#6556)

---
 libs/langchain-openai/package.json | 2 +-
 yarn.lock                          | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/libs/langchain-openai/package.json b/libs/langchain-openai/package.json
index 98453121a2f4..68e612680e35 100644
--- a/libs/langchain-openai/package.json
+++ b/libs/langchain-openai/package.json
@@ -35,7 +35,7 @@
   "author": "LangChain",
   "license": "MIT",
   "dependencies": {
-    "@langchain/core": ">=0.2.21 <0.3.0",
+    "@langchain/core": ">=0.2.26 <0.3.0",
     "js-tiktoken": "^1.0.12",
     "openai": "^4.55.0",
     "zod": "^3.22.4",
diff --git a/yarn.lock b/yarn.lock
index f23d3e6d9fcf..e38a0d0be9c2 100644
--- a/yarn.lock
+++ b/yarn.lock
@@ -12258,7 +12258,7 @@ __metadata:
   dependencies:
     "@azure/identity": ^4.2.1
     "@jest/globals": ^29.5.0
-    "@langchain/core": ">=0.2.21 <0.3.0"
+    "@langchain/core": ">=0.2.26 <0.3.0"
     "@langchain/scripts": ^0.0.21
     "@langchain/standard-tests": 0.0.0
     "@swc/core": ^1.3.90

From 6c9829fc8c3f305a1eb21d6d23824c514b25a768 Mon Sep 17 00:00:00 2001
From: Brace Sproul <braceasproul@gmail.com>
Date: Fri, 16 Aug 2024 13:06:48 -0700
Subject: [PATCH 051/344] openai[patch]: Release 0.2.7 (#6557)

---
 libs/langchain-openai/package.json | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/libs/langchain-openai/package.json b/libs/langchain-openai/package.json
index 68e612680e35..1e372dcf3305 100644
--- a/libs/langchain-openai/package.json
+++ b/libs/langchain-openai/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/openai",
-  "version": "0.2.6",
+  "version": "0.2.7",
   "description": "OpenAI integrations for LangChain.js",
   "type": "module",
   "engines": {

From ddec414a2a2443d15476db7d6b5ea3008ef071b3 Mon Sep 17 00:00:00 2001
From: Brace Sproul <braceasproul@gmail.com>
Date: Fri, 16 Aug 2024 15:59:34 -0700
Subject: [PATCH 052/344] core[minor]: Allow for additional fields to be passed
 with prompt templates (#6559)

* core[minor]: Allow for additional fields to be passed with prompt templates

* add support for image prompt templates
---
 langchain-core/src/prompts/chat.ts            | 39 ++++++++--
 langchain-core/src/prompts/image.ts           | 19 ++++-
 langchain-core/src/prompts/prompt.ts          | 19 ++++-
 langchain-core/src/prompts/tests/chat.test.ts | 72 +++++++++++++++++++
 4 files changed, 141 insertions(+), 8 deletions(-)

diff --git a/langchain-core/src/prompts/chat.ts b/langchain-core/src/prompts/chat.ts
index 0fcb0330489b..0d32610fbef0 100644
--- a/langchain-core/src/prompts/chat.ts
+++ b/langchain-core/src/prompts/chat.ts
@@ -12,6 +12,7 @@ import {
   coerceMessageLikeToMessage,
   isBaseMessage,
   MessageContent,
+  MessageContentComplex,
 } from "../messages/index.js";
 import {
   type ChatPromptValueInterface,
@@ -493,7 +494,14 @@ class _StringImageMessagePromptTemplate<
         } else if (typeof item.text === "string") {
           text = item.text ?? "";
         }
-        prompt.push(PromptTemplate.fromTemplate(text, additionalOptions));
+
+        const options = {
+          ...additionalOptions,
+          ...(typeof item !== "string"
+            ? { additionalContentFields: item }
+            : {}),
+        };
+        prompt.push(PromptTemplate.fromTemplate(text, options));
       } else if (typeof item === "object" && "image_url" in item) {
         let imgTemplate = item.image_url ?? "";
         let imgTemplateObject: ImagePromptTemplate<InputValues>;
@@ -526,6 +534,7 @@ class _StringImageMessagePromptTemplate<
             template: imgTemplate,
             inputVariables,
             templateFormat: additionalOptions?.templateFormat,
+            additionalContentFields: item,
           });
         } else if (typeof imgTemplate === "object") {
           if ("url" in imgTemplate) {
@@ -546,6 +555,7 @@ class _StringImageMessagePromptTemplate<
             template: imgTemplate,
             inputVariables,
             templateFormat: additionalOptions?.templateFormat,
+            additionalContentFields: item,
           });
         } else {
           throw new Error("Invalid image template");
@@ -583,17 +593,34 @@ class _StringImageMessagePromptTemplate<
           const formatted = await prompt.format(
             inputs as TypedPromptInputValues<RunInput>
           );
-          content.push({ type: "text", text: formatted });
+          let additionalContentFields: MessageContentComplex | undefined;
+          if ("additionalContentFields" in prompt) {
+            // eslint-disable-next-line @typescript-eslint/no-explicit-any
+            additionalContentFields = prompt.additionalContentFields as any;
+          }
+          content.push({
+            ...additionalContentFields,
+            type: "text",
+            text: formatted,
+          });
           /** @TODO replace this */
           // eslint-disable-next-line no-instanceof/no-instanceof
         } else if (prompt instanceof ImagePromptTemplate) {
           const formatted = await prompt.format(
             inputs as TypedPromptInputValues<RunInput>
           );
-          content.push({ type: "image_url", image_url: formatted });
+          let additionalContentFields: MessageContentComplex | undefined;
+          if ("additionalContentFields" in prompt) {
+            // eslint-disable-next-line @typescript-eslint/no-explicit-any
+            additionalContentFields = prompt.additionalContentFields as any;
+          }
+          content.push({
+            ...additionalContentFields,
+            type: "image_url",
+            image_url: formatted,
+          });
         }
       }
-
       return this.createMessage(content);
     }
   }
@@ -769,9 +796,9 @@ function _coerceMessagePromptTemplateLike<
     // Assuming message.content is an array of complex objects, transform it.
     templateData = message.content.map((item) => {
       if ("text" in item) {
-        return { text: item.text };
+        return { ...item, text: item.text };
       } else if ("image_url" in item) {
-        return { image_url: item.image_url };
+        return { ...item, image_url: item.image_url };
       } else {
         return item;
       }
diff --git a/langchain-core/src/prompts/image.ts b/langchain-core/src/prompts/image.ts
index 397b36bb0867..9f92f5c1630e 100644
--- a/langchain-core/src/prompts/image.ts
+++ b/langchain-core/src/prompts/image.ts
@@ -1,4 +1,4 @@
-import { MessageContent } from "../messages/index.js";
+import { MessageContent, MessageContentComplex } from "../messages/index.js";
 import { ImagePromptValue, ImageContent } from "../prompt_values.js";
 import type { InputValues, PartialValues } from "../utils/types/index.js";
 import {
@@ -40,6 +40,14 @@ export interface ImagePromptTemplateInput<
    * @defaultValue `true`
    */
   validateTemplate?: boolean;
+
+  /**
+   * Additional fields which should be included inside
+   * the message content array if using a complex message
+   * content.
+   */
+  // eslint-disable-next-line @typescript-eslint/no-explicit-any
+  additionalContentFields?: MessageContentComplex;
 }
 
 /**
@@ -63,11 +71,20 @@ export class ImagePromptTemplate<
 
   validateTemplate = true;
 
+  /**
+   * Additional fields which should be included inside
+   * the message content array if using a complex message
+   * content.
+   */
+  // eslint-disable-next-line @typescript-eslint/no-explicit-any
+  additionalContentFields?: MessageContentComplex;
+
   constructor(input: ImagePromptTemplateInput<RunInput, PartialVariableName>) {
     super(input);
     this.template = input.template;
     this.templateFormat = input.templateFormat ?? this.templateFormat;
     this.validateTemplate = input.validateTemplate ?? this.validateTemplate;
+    this.additionalContentFields = input.additionalContentFields;
 
     if (this.validateTemplate) {
       let totalInputVariables: string[] = this.inputVariables;
diff --git a/langchain-core/src/prompts/prompt.ts b/langchain-core/src/prompts/prompt.ts
index 58d3982b6852..998715895141 100644
--- a/langchain-core/src/prompts/prompt.ts
+++ b/langchain-core/src/prompts/prompt.ts
@@ -14,7 +14,7 @@ import {
 } from "./template.js";
 import type { SerializedPromptTemplate } from "./serde.js";
 import type { InputValues, PartialValues } from "../utils/types/index.js";
-import { MessageContent } from "../messages/index.js";
+import { MessageContent, MessageContentComplex } from "../messages/index.js";
 
 /**
  * Inputs to create a {@link PromptTemplate}
@@ -43,6 +43,14 @@ export interface PromptTemplateInput<
    * @defaultValue `true`
    */
   validateTemplate?: boolean;
+
+  /**
+   * Additional fields which should be included inside
+   * the message content array if using a complex message
+   * content.
+   */
+  // eslint-disable-next-line @typescript-eslint/no-explicit-any
+  additionalContentFields?: MessageContentComplex;
 }
 
 type NonAlphanumeric =
@@ -120,6 +128,14 @@ export class PromptTemplate<
 
   validateTemplate = true;
 
+  /**
+   * Additional fields which should be included inside
+   * the message content array if using a complex message
+   * content.
+   */
+  // eslint-disable-next-line @typescript-eslint/no-explicit-any
+  additionalContentFields?: MessageContentComplex;
+
   constructor(input: PromptTemplateInput<RunInput, PartialVariableName>) {
     super(input);
     // If input is mustache and validateTemplate is not defined, set it to false
@@ -251,6 +267,7 @@ export class PromptTemplate<
         names.add(node.name);
       }
     });
+
     return new PromptTemplate({
       // Rely on extracted types
       // eslint-disable-next-line @typescript-eslint/no-explicit-any
diff --git a/langchain-core/src/prompts/tests/chat.test.ts b/langchain-core/src/prompts/tests/chat.test.ts
index 3f5125861a73..b3fc38958ddc 100644
--- a/langchain-core/src/prompts/tests/chat.test.ts
+++ b/langchain-core/src/prompts/tests/chat.test.ts
@@ -622,3 +622,75 @@ test("Multi-modal, multi part chat prompt works with instances of BaseMessage",
   });
   expect(messages).toMatchSnapshot();
 });
+
+test("Format complex messages and keep additional fields", async () => {
+  const examplePrompt = ChatPromptTemplate.fromMessages([
+    [
+      "human",
+      [
+        {
+          type: "text",
+          text: "{input}",
+          cache_control: { type: "ephemeral" },
+        },
+      ],
+    ],
+    [
+      "ai",
+      [
+        {
+          type: "text",
+          text: "{output}",
+          cache_control: { type: "ephemeral" },
+        },
+      ],
+    ],
+  ]);
+  const formatted = await examplePrompt.formatMessages({
+    input: "hello",
+    output: "ciao",
+  });
+
+  expect(formatted).toHaveLength(2);
+
+  expect(formatted[0]._getType()).toBe("human");
+  expect(formatted[0].content[0]).toHaveProperty("cache_control");
+  // eslint-disable-next-line @typescript-eslint/no-explicit-any
+  expect((formatted[0].content[0] as any).cache_control).toEqual({
+    type: "ephemeral",
+  });
+
+  expect(formatted[1]._getType()).toBe("ai");
+  expect(formatted[1].content[0]).toHaveProperty("cache_control");
+  // eslint-disable-next-line @typescript-eslint/no-explicit-any
+  expect((formatted[1].content[0] as any).cache_control).toEqual({
+    type: "ephemeral",
+  });
+});
+
+test("Format image content messages and keep additional fields", async () => {
+  const examplePrompt = ChatPromptTemplate.fromMessages([
+    [
+      "human",
+      [
+        {
+          type: "image_url",
+          image_url: "{image_url}",
+          cache_control: { type: "ephemeral" },
+        },
+      ],
+    ],
+  ]);
+  const formatted = await examplePrompt.formatMessages({
+    image_url: "image_url",
+  });
+
+  expect(formatted).toHaveLength(1);
+
+  expect(formatted[0]._getType()).toBe("human");
+  expect(formatted[0].content[0]).toHaveProperty("cache_control");
+  // eslint-disable-next-line @typescript-eslint/no-explicit-any
+  expect((formatted[0].content[0] as any).cache_control).toEqual({
+    type: "ephemeral",
+  });
+});

From 8791e66d8ef6d1b5a71827b8b4d2d46877e75a0f Mon Sep 17 00:00:00 2001
From: Brace Sproul <braceasproul@gmail.com>
Date: Fri, 16 Aug 2024 16:04:44 -0700
Subject: [PATCH 053/344] core[patch]: Release 0.2.27 (#6560)

---
 langchain-core/package.json | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/langchain-core/package.json b/langchain-core/package.json
index 890363858f1b..aa75a4dadb24 100644
--- a/langchain-core/package.json
+++ b/langchain-core/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/core",
-  "version": "0.2.26",
+  "version": "0.2.27",
   "description": "Core LangChain.js abstractions and schemas",
   "type": "module",
   "engines": {

From 94d7c39558f548b277945b735e517a02ce96a270 Mon Sep 17 00:00:00 2001
From: Brace Sproul <braceasproul@gmail.com>
Date: Fri, 16 Aug 2024 16:58:50 -0700
Subject: [PATCH 054/344] google-genai[minor]: Update JSDoc with examples
 (#6561)

---
 .../langchain-google-genai/src/chat_models.ts | 344 +++++++++++++++++-
 1 file changed, 325 insertions(+), 19 deletions(-)

diff --git a/libs/langchain-google-genai/src/chat_models.ts b/libs/langchain-google-genai/src/chat_models.ts
index 197febd63bbb..2120b5c88b91 100644
--- a/libs/langchain-google-genai/src/chat_models.ts
+++ b/libs/langchain-google-genai/src/chat_models.ts
@@ -179,33 +179,339 @@ export interface GoogleGenerativeAIChatInput
 }
 
 /**
- * A class that wraps the Google Palm chat model.
- * @example
+ * Google Generative AI chat model integration.
+ *
+ * Setup:
+ * Install `@langchain/google-genai` and set an environment variable named `GOOGLE_API_KEY`.
+ *
+ * ```bash
+ * npm install @langchain/google-genai
+ * export GOOGLE_API_KEY="your-api-key"
+ * ```
+ *
+ * ## [Constructor args](https://api.js.langchain.com/classes/langchain_google_genai.ChatGoogleGenerativeAI.html#constructor)
+ *
+ * ## [Runtime args](https://api.js.langchain.com/interfaces/langchain_google_genai.GoogleGenerativeAIChatCallOptions.html)
+ *
+ * Runtime args can be passed as the second argument to any of the base runnable methods `.invoke`. `.stream`, `.batch`, etc.
+ * They can also be passed via `.bind`, or the second arg in `.bindTools`, like shown in the examples below:
+ *
+ * ```typescript
+ * // When calling `.bind`, call options should be passed via the first argument
+ * const llmWithArgsBound = llm.bind({
+ *   stop: ["\n"],
+ *   tools: [...],
+ * });
+ *
+ * // When calling `.bindTools`, call options should be passed via the second argument
+ * const llmWithTools = llm.bindTools(
+ *   [...],
+ *   {
+ *     stop: ["\n"],
+ *   }
+ * );
+ * ```
+ *
+ * ## Examples
+ *
+ * <details open>
+ * <summary><strong>Instantiate</strong></summary>
+ *
  * ```typescript
- * const model = new ChatGoogleGenerativeAI({
- *   apiKey: "<YOUR API KEY>",
- *   temperature: 0.7,
- *   modelName: "gemini-pro",
- *   topK: 40,
- *   topP: 1,
+ * import { ChatGoogleGenerativeAI } from '@langchain/google-genai';
+ *
+ * const llm = new ChatGoogleGenerativeAI({
+ *   model: "gemini-1.5-flash",
+ *   temperature: 0,
+ *   maxRetries: 2,
+ *   // apiKey: "...",
+ *   // other params...
  * });
- * const questions = [
- *   new HumanMessage({
- *     content: [
+ * ```
+ * </details>
+ *
+ * <br />
+ *
+ * <details>
+ * <summary><strong>Invoking</strong></summary>
+ *
+ * ```typescript
+ * const input = `Translate "I love programming" into French.`;
+ *
+ * // Models also accept a list of chat messages or a formatted prompt
+ * const result = await llm.invoke(input);
+ * console.log(result);
+ * ```
+ *
+ * ```txt
+ * AIMessage {
+ *   "content": "There are a few ways to translate \"I love programming\" into French, depending on the level of formality and nuance you want to convey:\n\n**Formal:**\n\n* **J'aime la programmation.** (This is the most literal and formal translation.)\n\n**Informal:**\n\n* **J'adore programmer.** (This is a more enthusiastic and informal translation.)\n* **J'aime beaucoup programmer.** (This is a slightly less enthusiastic but still informal translation.)\n\n**More specific:**\n\n* **J'aime beaucoup coder.** (This specifically refers to writing code.)\n* **J'aime beaucoup développer des logiciels.** (This specifically refers to developing software.)\n\nThe best translation will depend on the context and your intended audience. \n",
+ *   "response_metadata": {
+ *     "finishReason": "STOP",
+ *     "index": 0,
+ *     "safetyRatings": [
+ *       {
+ *         "category": "HARM_CATEGORY_SEXUALLY_EXPLICIT",
+ *         "probability": "NEGLIGIBLE"
+ *       },
  *       {
- *         type: "text",
- *         text: "You are a funny assistant that answers in pirate language.",
+ *         "category": "HARM_CATEGORY_HATE_SPEECH",
+ *         "probability": "NEGLIGIBLE"
  *       },
  *       {
- *         type: "text",
- *         text: "What is your favorite food?",
+ *         "category": "HARM_CATEGORY_HARASSMENT",
+ *         "probability": "NEGLIGIBLE"
  *       },
+ *       {
+ *         "category": "HARM_CATEGORY_DANGEROUS_CONTENT",
+ *         "probability": "NEGLIGIBLE"
+ *       }
  *     ]
- *   })
- * ];
- * const res = await model.invoke(questions);
- * console.log({ res });
+ *   },
+ *   "usage_metadata": {
+ *     "input_tokens": 10,
+ *     "output_tokens": 149,
+ *     "total_tokens": 159
+ *   }
+ * }
+ * ```
+ * </details>
+ *
+ * <br />
+ *
+ * <details>
+ * <summary><strong>Streaming Chunks</strong></summary>
+ *
+ * ```typescript
+ * for await (const chunk of await llm.stream(input)) {
+ *   console.log(chunk);
+ * }
+ * ```
+ *
+ * ```txt
+ * AIMessageChunk {
+ *   "content": "There",
+ *   "response_metadata": {
+ *     "index": 0
+ *   }
+ *   "usage_metadata": {
+ *     "input_tokens": 10,
+ *     "output_tokens": 1,
+ *     "total_tokens": 11
+ *   }
+ * }
+ * AIMessageChunk {
+ *   "content": " are a few ways to translate \"I love programming\" into French, depending on",
+ * }
+ * AIMessageChunk {
+ *   "content": " the level of formality and nuance you want to convey:\n\n**Formal:**\n\n",
+ * }
+ * AIMessageChunk {
+ *   "content": "* **J'aime la programmation.** (This is the most literal and formal translation.)\n\n**Informal:**\n\n* **J'adore programmer.** (This",
+ * }
+ * AIMessageChunk {
+ *   "content": " is a more enthusiastic and informal translation.)\n* **J'aime beaucoup programmer.** (This is a slightly less enthusiastic but still informal translation.)\n\n**More",
+ * }
+ * AIMessageChunk {
+ *   "content": " specific:**\n\n* **J'aime beaucoup coder.** (This specifically refers to writing code.)\n* **J'aime beaucoup développer des logiciels.** (This specifically refers to developing software.)\n\nThe best translation will depend on the context and",
+ * }
+ * AIMessageChunk {
+ *   "content": " your intended audience. \n",
+ * }
+ * ```
+ * </details>
+ *
+ * <br />
+ *
+ * <details>
+ * <summary><strong>Aggregate Streamed Chunks</strong></summary>
+ *
+ * ```typescript
+ * import { AIMessageChunk } from '@langchain/core/messages';
+ * import { concat } from '@langchain/core/utils/stream';
+ *
+ * const stream = await llm.stream(input);
+ * let full: AIMessageChunk | undefined;
+ * for await (const chunk of stream) {
+ *   full = !full ? chunk : concat(full, chunk);
+ * }
+ * console.log(full);
+ * ```
+ *
+ * ```txt
+ * AIMessageChunk {
+ *   "content": "There are a few ways to translate \"I love programming\" into French, depending on the level of formality and nuance you want to convey:\n\n**Formal:**\n\n* **J'aime la programmation.** (This is the most literal and formal translation.)\n\n**Informal:**\n\n* **J'adore programmer.** (This is a more enthusiastic and informal translation.)\n* **J'aime beaucoup programmer.** (This is a slightly less enthusiastic but still informal translation.)\n\n**More specific:**\n\n* **J'aime beaucoup coder.** (This specifically refers to writing code.)\n* **J'aime beaucoup développer des logiciels.** (This specifically refers to developing software.)\n\nThe best translation will depend on the context and your intended audience. \n",
+ *   "usage_metadata": {
+ *     "input_tokens": 10,
+ *     "output_tokens": 277,
+ *     "total_tokens": 287
+ *   }
+ * }
+ * ```
+ * </details>
+ *
+ * <br />
+ *
+ * <details>
+ * <summary><strong>Bind tools</strong></summary>
+ *
+ * ```typescript
+ * import { z } from 'zod';
+ *
+ * const GetWeather = {
+ *   name: "GetWeather",
+ *   description: "Get the current weather in a given location",
+ *   schema: z.object({
+ *     location: z.string().describe("The city and state, e.g. San Francisco, CA")
+ *   }),
+ * }
+ *
+ * const GetPopulation = {
+ *   name: "GetPopulation",
+ *   description: "Get the current population in a given location",
+ *   schema: z.object({
+ *     location: z.string().describe("The city and state, e.g. San Francisco, CA")
+ *   }),
+ * }
+ *
+ * const llmWithTools = llm.bindTools([GetWeather, GetPopulation]);
+ * const aiMsg = await llmWithTools.invoke(
+ *   "Which city is hotter today and which is bigger: LA or NY?"
+ * );
+ * console.log(aiMsg.tool_calls);
+ * ```
+ *
+ * ```txt
+ * [
+ *   {
+ *     name: 'GetWeather',
+ *     args: { location: 'Los Angeles, CA' },
+ *     type: 'tool_call'
+ *   },
+ *   {
+ *     name: 'GetWeather',
+ *     args: { location: 'New York, NY' },
+ *     type: 'tool_call'
+ *   },
+ *   {
+ *     name: 'GetPopulation',
+ *     args: { location: 'Los Angeles, CA' },
+ *     type: 'tool_call'
+ *   },
+ *   {
+ *     name: 'GetPopulation',
+ *     args: { location: 'New York, NY' },
+ *     type: 'tool_call'
+ *   }
+ * ]
+ * ```
+ * </details>
+ *
+ * <br />
+ *
+ * <details>
+ * <summary><strong>Structured Output</strong></summary>
+ *
+ * ```typescript
+ * const Joke = z.object({
+ *   setup: z.string().describe("The setup of the joke"),
+ *   punchline: z.string().describe("The punchline to the joke"),
+ *   rating: z.number().optional().describe("How funny the joke is, from 1 to 10")
+ * }).describe('Joke to tell user.');
+ *
+ * const structuredLlm = llm.withStructuredOutput(Joke, { name: "Joke" });
+ * const jokeResult = await structuredLlm.invoke("Tell me a joke about cats");
+ * console.log(jokeResult);
+ * ```
+ *
+ * ```txt
+ * {
+ *   setup: "Why don\\'t cats play poker?",
+ *   punchline: "Why don\\'t cats play poker? Because they always have an ace up their sleeve!"
+ * }
+ * ```
+ * </details>
+ *
+ * <br />
+ *
+ * <details>
+ * <summary><strong>Multimodal</strong></summary>
+ *
+ * ```typescript
+ * import { HumanMessage } from '@langchain/core/messages';
+ *
+ * const imageUrl = "https://example.com/image.jpg";
+ * const imageData = await fetch(imageUrl).then(res => res.arrayBuffer());
+ * const base64Image = Buffer.from(imageData).toString('base64');
+ *
+ * const message = new HumanMessage({
+ *   content: [
+ *     { type: "text", text: "describe the weather in this image" },
+ *     {
+ *       type: "image_url",
+ *       image_url: { url: `data:image/jpeg;base64,${base64Image}` },
+ *     },
+ *   ]
+ * });
+ *
+ * const imageDescriptionAiMsg = await llm.invoke([message]);
+ * console.log(imageDescriptionAiMsg.content);
+ * ```
+ *
+ * ```txt
+ * The weather in the image appears to be clear and sunny. The sky is mostly blue with a few scattered white clouds, indicating fair weather. The bright sunlight is casting shadows on the green, grassy hill, suggesting it is a pleasant day with good visibility. There are no signs of rain or stormy conditions.
+ * ```
+ * </details>
+ *
+ * <br />
+ *
+ * <details>
+ * <summary><strong>Usage Metadata</strong></summary>
+ *
+ * ```typescript
+ * const aiMsgForMetadata = await llm.invoke(input);
+ * console.log(aiMsgForMetadata.usage_metadata);
+ * ```
+ *
+ * ```txt
+ * { input_tokens: 10, output_tokens: 149, total_tokens: 159 }
+ * ```
+ * </details>
+ *
+ * <br />
+ *
+ * <details>
+ * <summary><strong>Response Metadata</strong></summary>
+ *
+ * ```typescript
+ * const aiMsgForResponseMetadata = await llm.invoke(input);
+ * console.log(aiMsgForResponseMetadata.response_metadata);
+ * ```
+ *
+ * ```txt
+ * {
+ *   finishReason: 'STOP',
+ *   index: 0,
+ *   safetyRatings: [
+ *     {
+ *       category: 'HARM_CATEGORY_SEXUALLY_EXPLICIT',
+ *       probability: 'NEGLIGIBLE'
+ *     },
+ *     {
+ *       category: 'HARM_CATEGORY_HATE_SPEECH',
+ *       probability: 'NEGLIGIBLE'
+ *     },
+ *     { category: 'HARM_CATEGORY_HARASSMENT', probability: 'NEGLIGIBLE' },
+ *     {
+ *       category: 'HARM_CATEGORY_DANGEROUS_CONTENT',
+ *       probability: 'NEGLIGIBLE'
+ *     }
+ *   ]
+ * }
  * ```
+ * </details>
+ *
+ * <br />
  */
 export class ChatGoogleGenerativeAI
   extends BaseChatModel<GoogleGenerativeAIChatCallOptions, AIMessageChunk>

From b8fe0463e8ea793d6364d7c09227035321f0274e Mon Sep 17 00:00:00 2001
From: Brace Sproul <braceasproul@gmail.com>
Date: Fri, 16 Aug 2024 16:59:05 -0700
Subject: [PATCH 055/344] parnters[patch]: Fix type errors in JSDoc examples
 (#6562)

---
 libs/langchain-aws/src/chat_models.ts          | 4 ++--
 libs/langchain-openai/src/azure/chat_models.ts | 4 ++--
 libs/langchain-openai/src/chat_models.ts       | 4 ++--
 3 files changed, 6 insertions(+), 6 deletions(-)

diff --git a/libs/langchain-aws/src/chat_models.ts b/libs/langchain-aws/src/chat_models.ts
index ee0a4fcc6634..10e6f35d2afa 100644
--- a/libs/langchain-aws/src/chat_models.ts
+++ b/libs/langchain-aws/src/chat_models.ts
@@ -487,8 +487,8 @@ export interface ChatBedrockConverseCallOptions
  *   rating: z.number().optional().describe("How funny the joke is, from 1 to 10")
  * }).describe('Joke to tell user.');
  *
- * const structuredLlm = llm.withStructuredOutput(Joke);
- * const jokeResult = await structuredLlm.invoke("Tell me a joke about cats", { name: "Joke" });
+ * const structuredLlm = llm.withStructuredOutput(Joke, { name: "Joke" });
+ * const jokeResult = await structuredLlm.invoke("Tell me a joke about cats");
  * console.log(jokeResult);
  * ```
  *
diff --git a/libs/langchain-openai/src/azure/chat_models.ts b/libs/langchain-openai/src/azure/chat_models.ts
index 21ce1ebe4c81..e9a460e0f9f6 100644
--- a/libs/langchain-openai/src/azure/chat_models.ts
+++ b/libs/langchain-openai/src/azure/chat_models.ts
@@ -267,8 +267,8 @@ import {
  *   rating: z.number().optional().describe("How funny the joke is, from 1 to 10")
  * }).describe('Joke to tell user.');
  *
- * const structuredLlm = llm.withStructuredOutput(Joke);
- * const jokeResult = await structuredLlm.invoke("Tell me a joke about cats", { name: "Joke" });
+ * const structuredLlm = llm.withStructuredOutput(Joke, { name: "Joke" });
+ * const jokeResult = await structuredLlm.invoke("Tell me a joke about cats");
  * console.log(jokeResult);
  * ```
  *
diff --git a/libs/langchain-openai/src/chat_models.ts b/libs/langchain-openai/src/chat_models.ts
index 22113d5235ab..381f05aaef77 100644
--- a/libs/langchain-openai/src/chat_models.ts
+++ b/libs/langchain-openai/src/chat_models.ts
@@ -629,8 +629,8 @@ export interface ChatOpenAIFields
  *   rating: z.number().optional().describe("How funny the joke is, from 1 to 10")
  * }).describe('Joke to tell user.');
  *
- * const structuredLlm = llm.withStructuredOutput(Joke);
- * const jokeResult = await structuredLlm.invoke("Tell me a joke about cats", { name: "Joke" });
+ * const structuredLlm = llm.withStructuredOutput(Joke, { name: "Joke" });
+ * const jokeResult = await structuredLlm.invoke("Tell me a joke about cats");
  * console.log(jokeResult);
  * ```
  *

From d488495f2649eb3ccd11ba5e3f9bf954f3fecfe4 Mon Sep 17 00:00:00 2001
From: Brace Sproul <braceasproul@gmail.com>
Date: Mon, 19 Aug 2024 09:28:09 -0700
Subject: [PATCH 056/344] ci[patch]: Fix passing validate notebook args to
 script (#6567)

---
 .github/workflows/validate_new_notebooks.yml | 2 +-
 package.json                                 | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/.github/workflows/validate_new_notebooks.yml b/.github/workflows/validate_new_notebooks.yml
index aa0911d469b1..4f5d606c2416 100644
--- a/.github/workflows/validate_new_notebooks.yml
+++ b/.github/workflows/validate_new_notebooks.yml
@@ -52,7 +52,7 @@ jobs:
           if [ -n "$notebooks" ]; then
             for notebook in $notebooks; do
               absolute_path="$GITHUB_WORKSPACE/$notebook"
-              yarn notebook:validate "$absolute_path"
+              yarn notebook:validate -- "$absolute_path"
             done
           else
             echo "No notebooks in docs/core_docs to validate."
diff --git a/package.json b/package.json
index 35478c1a5190..fdb81c35343e 100644
--- a/package.json
+++ b/package.json
@@ -37,7 +37,7 @@
     "test:standard:int": "turbo test:standard:int",
     "test:standard": "yarn test:standard:unit && yarn test:standard:int",
     "example": "yarn workspace examples start",
-    "notebook:validate": "turbo --filter=@langchain/scripts notebook:validate --",
+    "notebook:validate": "turbo --filter=@langchain/scripts notebook:validate",
     "precommit": "turbo precommit",
     "docs": "yarn workspace core_docs start",
     "docs:api_refs": "yarn workspace api_refs start",

From d2eeee0fb5c77ccd6116ca90962f44200b4eb078 Mon Sep 17 00:00:00 2001
From: Brace Sproul <braceasproul@gmail.com>
Date: Mon, 19 Aug 2024 12:46:30 -0700
Subject: [PATCH 057/344] ci[patch]: Use workspace command for notebook
 validate (#6569)

---
 .github/workflows/validate_new_notebooks.yml | 2 +-
 package.json                                 | 1 -
 2 files changed, 1 insertion(+), 2 deletions(-)

diff --git a/.github/workflows/validate_new_notebooks.yml b/.github/workflows/validate_new_notebooks.yml
index 4f5d606c2416..d61b7ab9ec77 100644
--- a/.github/workflows/validate_new_notebooks.yml
+++ b/.github/workflows/validate_new_notebooks.yml
@@ -52,7 +52,7 @@ jobs:
           if [ -n "$notebooks" ]; then
             for notebook in $notebooks; do
               absolute_path="$GITHUB_WORKSPACE/$notebook"
-              yarn notebook:validate -- "$absolute_path"
+              yarn workspace @langchain/scripts notebook_validate "$absolute_path"
             done
           else
             echo "No notebooks in docs/core_docs to validate."
diff --git a/package.json b/package.json
index fdb81c35343e..fe247722ef30 100644
--- a/package.json
+++ b/package.json
@@ -37,7 +37,6 @@
     "test:standard:int": "turbo test:standard:int",
     "test:standard": "yarn test:standard:unit && yarn test:standard:int",
     "example": "yarn workspace examples start",
-    "notebook:validate": "turbo --filter=@langchain/scripts notebook:validate",
     "precommit": "turbo precommit",
     "docs": "yarn workspace core_docs start",
     "docs:api_refs": "yarn workspace api_refs start",

From a6c7b5a98c0e84a14a3e9338bd73fa6099bc5af8 Mon Sep 17 00:00:00 2001
From: Brace Sproul <braceasproul@gmail.com>
Date: Mon, 19 Aug 2024 15:58:05 -0700
Subject: [PATCH 058/344] docs[minor]: Add doc section on structured tool
 params (#6571)

* docs[minor]: Add doc section on structured tool params

* chore: lint files

* Update docs/core_docs/docs/how_to/custom_tools.ipynb
---
 docs/core_docs/docs/how_to/custom_tools.ipynb | 53 +++++++++++++++++--
 langchain-core/src/tools/index.ts             |  5 ++
 2 files changed, 53 insertions(+), 5 deletions(-)

diff --git a/docs/core_docs/docs/how_to/custom_tools.ipynb b/docs/core_docs/docs/how_to/custom_tools.ipynb
index 0d38c5d92d6a..95f68259ac03 100644
--- a/docs/core_docs/docs/how_to/custom_tools.ipynb
+++ b/docs/core_docs/docs/how_to/custom_tools.ipynb
@@ -32,7 +32,51 @@
     "\n",
     "When constructing your own agent, you will need to provide it with a list of Tools that it can use. While LangChain includes some prebuilt tools, it can often be more useful to use tools that use custom logic. This guide will walk you through some ways you can create custom tools.\n",
     "\n",
-    "The biggest difference here is that the first function requires an object with multiple input fields, while the second one only accepts an object with a single field. Some older agents only work with functions that require single inputs, so it's important to understand the distinction."
+    "The biggest difference here is that the first function requires an object with multiple input fields, while the second one only accepts an object with a single field. Some older agents only work with functions that require single inputs, so it's important to understand the distinction.\n",
+    "\n",
+    "LangChain has a handful of ways to construct tools for different applications. Below I'll show the two most common ways to create tools, and where you might use each."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "82bb159d",
+   "metadata": {},
+   "source": [
+    "## Tool schema\n",
+    "\n",
+    "```{=mdx}\n",
+    ":::caution Compatibility\n",
+    "Only available in `@langchain/core` version 0.2.19 and above.\n",
+    ":::\n",
+    "```\n",
+    "\n",
+    "The simplest way to create a tool is through the [`StructuredToolParams`](https://api.js.langchain.com/interfaces/_langchain_core.tools.StructuredToolParams.html) schema. Every chat model which supports tool calling in LangChain accepts binding tools to the model through this schema. This schema has only three fields\n",
+    "\n",
+    "- `name` - The name of the tool.\n",
+    "- `schema` - The schema of the tool, defined with a Zod object.\n",
+    "- `description` (optional) - A description of the tool.\n",
+    "\n",
+    "This schema does not include a function to pair with the tool, and for this reason it should only be used in situations where the generated output does not need to be passed as the input argument to a function."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "4d129789",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import { z } from \"zod\";\n",
+    "import { StructuredToolParams } from \"@langchain/core/tools\";\n",
+    "\n",
+    "const simpleToolSchema: StructuredToolParams = {\n",
+    "  name: \"get_current_weather\",\n",
+    "  description: \"Get the current weather for a location\",\n",
+    "  schema: z.object({\n",
+    "    city: z.string().describe(\"The city to get the weather for\"),\n",
+    "    state: z.string().optional().describe(\"The state to get the weather for\"),\n",
+    "  })\n",
+    "}"
    ]
   },
   {
@@ -48,8 +92,7 @@
     ":::\n",
     "```\n",
     "\n",
-    "\n",
-    "The [`tool`](https://api.js.langchain.com/classes/langchain_core.tools.Tool.html) wrapper function is a convenience method for turning a JavaScript function into a tool. It requires the function itself along with some additional arguments that define your tool. The most important are:\n",
+    "The [`tool`](https://api.js.langchain.com/classes/langchain_core.tools.Tool.html) wrapper function is a convenience method for turning a JavaScript function into a tool. It requires the function itself along with some additional arguments that define your tool. You should use this over `StructuredToolParams` tools when the resulting tool call executes a function. The most important are:\n",
     "\n",
     "- The tool's `name`, which the LLM will use as context as well as to reference the tool\n",
     "- An optional, but recommended `description`, which the LLM will use as context to know when to use the tool\n",
@@ -345,9 +388,9 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Deno",
+   "display_name": "TypeScript",
    "language": "typescript",
-   "name": "deno"
+   "name": "tslab"
   },
   "language_info": {
    "file_extension": ".ts",
diff --git a/langchain-core/src/tools/index.ts b/langchain-core/src/tools/index.ts
index a2000a24b21d..7146e2f36df1 100644
--- a/langchain-core/src/tools/index.ts
+++ b/langchain-core/src/tools/index.ts
@@ -48,6 +48,11 @@ export interface ToolParams extends BaseLangChainParams {
   responseFormat?: ResponseFormat;
 }
 
+/**
+ * Schema for defining tools.
+ *
+ * @version 0.2.19
+ */
 export interface StructuredToolParams
   extends Pick<StructuredToolInterface, "name" | "schema"> {
   /**

From 04a9c7dbfa29038640421fd6a01cffb79db18d30 Mon Sep 17 00:00:00 2001
From: Brace Sproul <braceasproul@gmail.com>
Date: Mon, 19 Aug 2024 18:07:51 -0700
Subject: [PATCH 059/344] groq[minor]: Fix streaming metadata back to client
 (#6573)

* groq[minor]: Fix streaming metadata back to client

* chore: lint files

* chore: lint files

* implemented usage metadata for invoke too
---
 libs/langchain-groq/src/chat_models.ts        | 52 +++++++++++++++++--
 .../tests/chat_models.standard.int.test.ts    | 16 ------
 2 files changed, 48 insertions(+), 20 deletions(-)

diff --git a/libs/langchain-groq/src/chat_models.ts b/libs/langchain-groq/src/chat_models.ts
index 823dd41c98f2..79d20b05a546 100644
--- a/libs/langchain-groq/src/chat_models.ts
+++ b/libs/langchain-groq/src/chat_models.ts
@@ -23,6 +23,7 @@ import {
   OpenAIToolCall,
   isAIMessage,
   BaseMessageChunk,
+  UsageMetadata,
 } from "@langchain/core/messages";
 import {
   ChatGeneration,
@@ -179,7 +180,8 @@ function convertMessagesToGroqParams(
 }
 
 function groqResponseToChatMessage(
-  message: ChatCompletionsAPI.ChatCompletionMessage
+  message: ChatCompletionsAPI.ChatCompletionMessage,
+  usageMetadata?: UsageMetadata
 ): BaseMessage {
   const rawToolCalls: OpenAIToolCall[] | undefined = message.tool_calls as
     | OpenAIToolCall[]
@@ -201,6 +203,7 @@ function groqResponseToChatMessage(
         additional_kwargs: { tool_calls: rawToolCalls },
         tool_calls: toolCalls,
         invalid_tool_calls: invalidToolCalls,
+        usage_metadata: usageMetadata,
       });
     }
     default:
@@ -226,7 +229,8 @@ function _convertDeltaToolCallToToolCallChunk(
 function _convertDeltaToMessageChunk(
   // eslint-disable-next-line @typescript-eslint/no-explicit-any
   delta: Record<string, any>,
-  index: number
+  index: number,
+  xGroq?: ChatCompletionsAPI.ChatCompletionChunk.XGroq
 ): {
   message: BaseMessageChunk;
   toolCallData?: {
@@ -250,6 +254,18 @@ function _convertDeltaToMessageChunk(
   } else {
     additional_kwargs = {};
   }
+
+  let usageMetadata: UsageMetadata | undefined;
+  let groqMessageId: string | undefined;
+  if (xGroq?.usage) {
+    usageMetadata = {
+      input_tokens: xGroq.usage.prompt_tokens,
+      output_tokens: xGroq.usage.completion_tokens,
+      total_tokens: xGroq.usage.total_tokens,
+    };
+    groqMessageId = xGroq.id;
+  }
+
   if (role === "user") {
     return {
       message: new HumanMessageChunk({ content }),
@@ -270,6 +286,8 @@ function _convertDeltaToMessageChunk(
               index: tc.index,
             }))
           : undefined,
+        usage_metadata: usageMetadata,
+        id: groqMessageId,
       }),
       toolCallData: toolCallChunks
         ? toolCallChunks.map((tc) => ({
@@ -771,7 +789,10 @@ export class ChatGroq extends BaseChatModel<
       index: number;
       type: "tool_call_chunk";
     }[] = [];
+    // eslint-disable-next-line @typescript-eslint/no-explicit-any
+    let responseMetadata: Record<string, any> | undefined;
     for await (const data of response) {
+      responseMetadata = data;
       const choice = data?.choices[0];
       if (!choice) {
         continue;
@@ -787,7 +808,8 @@ export class ChatGroq extends BaseChatModel<
           ...choice.delta,
           role,
         } ?? {},
-        choice.index
+        choice.index,
+        data.x_groq
       );
 
       if (toolCallData) {
@@ -818,6 +840,19 @@ export class ChatGroq extends BaseChatModel<
       void runManager?.handleLLMNewToken(chunk.text ?? "");
     }
 
+    if (responseMetadata) {
+      if ("choices" in responseMetadata) {
+        delete responseMetadata.choices;
+      }
+      yield new ChatGenerationChunk({
+        message: new AIMessageChunk({
+          content: "",
+          response_metadata: responseMetadata,
+        }),
+        text: "",
+      });
+    }
+
     if (options.signal?.aborted) {
       throw new Error("AbortError");
     }
@@ -898,10 +933,19 @@ export class ChatGroq extends BaseChatModel<
     if ("choices" in data && data.choices) {
       for (const part of (data as ChatCompletion).choices) {
         const text = part.message?.content ?? "";
+        let usageMetadata: UsageMetadata | undefined;
+        if (tokenUsage.totalTokens !== undefined) {
+          usageMetadata = {
+            input_tokens: tokenUsage.promptTokens ?? 0,
+            output_tokens: tokenUsage.completionTokens ?? 0,
+            total_tokens: tokenUsage.totalTokens,
+          };
+        }
         const generation: ChatGeneration = {
           text,
           message: groqResponseToChatMessage(
-            part.message ?? { role: "assistant" }
+            part.message ?? { role: "assistant" },
+            usageMetadata
           ),
         };
         generation.generationInfo = {
diff --git a/libs/langchain-groq/src/tests/chat_models.standard.int.test.ts b/libs/langchain-groq/src/tests/chat_models.standard.int.test.ts
index 1eb1384b26a7..41dc90a0fdc0 100644
--- a/libs/langchain-groq/src/tests/chat_models.standard.int.test.ts
+++ b/libs/langchain-groq/src/tests/chat_models.standard.int.test.ts
@@ -25,22 +25,6 @@ class ChatGroqStandardIntegrationTests extends ChatModelIntegrationTests<
     });
   }
 
-  async testUsageMetadataStreaming() {
-    this.skipTestMessage(
-      "testUsageMetadataStreaming",
-      "ChatGroq",
-      "Streaming tokens is not currently supported."
-    );
-  }
-
-  async testUsageMetadata() {
-    this.skipTestMessage(
-      "testUsageMetadata",
-      "ChatGroq",
-      "Usage metadata tokens is not currently supported."
-    );
-  }
-
   async testToolMessageHistoriesListContent() {
     this.skipTestMessage(
       "testToolMessageHistoriesListContent",

From 51560d43909d3d1ad752a51adf474ffc98b18efa Mon Sep 17 00:00:00 2001
From: Brace Sproul <braceasproul@gmail.com>
Date: Mon, 19 Aug 2024 18:10:06 -0700
Subject: [PATCH 060/344] groq[patch]: Release 0.0.17 (#6574)

---
 libs/langchain-groq/package.json | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/libs/langchain-groq/package.json b/libs/langchain-groq/package.json
index 0ff8e0db3485..d5c1f09c0c86 100644
--- a/libs/langchain-groq/package.json
+++ b/libs/langchain-groq/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/groq",
-  "version": "0.0.16",
+  "version": "0.0.17",
   "description": "Groq integration for LangChain.js",
   "type": "module",
   "engines": {

From 15d4c99a78aab12dc03bdcf416663e5f7f3f1cad Mon Sep 17 00:00:00 2001
From: Brace Sproul <braceasproul@gmail.com>
Date: Tue, 20 Aug 2024 10:53:28 -0700
Subject: [PATCH 061/344] openai[minor]: Add JSON schema and strict WSO example
 to JSDoc (#6578)

* openai[minor]: Add JSON schema and strict WSO example to JSDoc

* chore: lint files
---
 libs/langchain-openai/src/chat_models.ts | 45 ++++++++++++++++++++++++
 1 file changed, 45 insertions(+)

diff --git a/libs/langchain-openai/src/chat_models.ts b/libs/langchain-openai/src/chat_models.ts
index 381f05aaef77..0a93c9d1b138 100644
--- a/libs/langchain-openai/src/chat_models.ts
+++ b/libs/langchain-openai/src/chat_models.ts
@@ -787,6 +787,51 @@ export interface ChatOpenAIFields
  * </details>
  *
  * <br />
+ *
+ * <details>
+ * <summary><strong>JSON Schema Structured Output</strong></summary>
+ *
+ * ```typescript
+ * const llmForJsonSchema = new ChatOpenAI({
+ *   model: "gpt-4o-2024-08-06",
+ * }).withStructuredOutput(
+ *   z.object({
+ *     command: z.string().describe("The command to execute"),
+ *     expectedOutput: z.string().describe("The expected output of the command"),
+ *     options: z
+ *       .array(z.string())
+ *       .describe("The options you can pass to the command"),
+ *   }),
+ *   {
+ *     method: "jsonSchema",
+ *     strict: true, // Optional when using the `jsonSchema` method
+ *   }
+ * );
+ *
+ * const jsonSchemaRes = await llmForJsonSchema.invoke(
+ *   "What is the command to list files in a directory?"
+ * );
+ * console.log(jsonSchemaRes);
+ * ```
+ *
+ * ```txt
+ * {
+ *   command: 'ls',
+ *   expectedOutput: 'A list of files and subdirectories within the specified directory.',
+ *   options: [
+ *     '-a: include directory entries whose names begin with a dot (.).',
+ *     '-l: use a long listing format.',
+ *     '-h: with -l, print sizes in human readable format (e.g., 1K, 234M, 2G).',
+ *     '-t: sort by time, newest first.',
+ *     '-r: reverse order while sorting.',
+ *     '-S: sort by file size, largest first.',
+ *     '-R: list subdirectories recursively.'
+ *   ]
+ * }
+ * ```
+ * </details>
+ *
+ * <br />
  */
 export class ChatOpenAI<
     CallOptions extends ChatOpenAICallOptions = ChatOpenAICallOptions

From d9bb87bdba2953b322239641af4f48c80faf840e Mon Sep 17 00:00:00 2001
From: Brace Sproul <braceasproul@gmail.com>
Date: Tue, 20 Aug 2024 13:29:38 -0700
Subject: [PATCH 062/344] scripts[patch]: Fix bug for checking allowed side
 effects comment (#6579)

* scripts[patch]: Fix bug for checking allowed side effects comment

* fix lint
---
 libs/langchain-scripts/src/build_v2.ts | 43 +++++++++++++++++++++-----
 1 file changed, 35 insertions(+), 8 deletions(-)

diff --git a/libs/langchain-scripts/src/build_v2.ts b/libs/langchain-scripts/src/build_v2.ts
index 006b2cf7f79f..13fc67fbb863 100644
--- a/libs/langchain-scripts/src/build_v2.ts
+++ b/libs/langchain-scripts/src/build_v2.ts
@@ -480,6 +480,40 @@ function listEntrypoints(packageJson: Record<string, any>) {
   return entrypoints;
 }
 
+/**
+ * Checks whether or not the file has side effects marked with the `__LC_ALLOW_ENTRYPOINT_SIDE_EFFECTS__`
+ * keyword comment. If it does, this function will return `true`, otherwise it will return `false`.
+ *
+ * @param {string} entrypoint
+ * @returns {Promise<boolean>} Whether or not the file has side effects which are explicitly marked as allowed.
+ */
+const checkAllowSideEffects = async (entrypoint: string): Promise<boolean> => {
+  let entrypointContent: Buffer | undefined;
+  try {
+    entrypointContent = await fs.promises.readFile(
+      `./dist/${entrypoint.replace(/^\.\//, "")}`
+    );
+    // eslint-disable-next-line @typescript-eslint/no-explicit-any
+  } catch (e: any) {
+    if (e.message.includes("ENOENT")) {
+      // Entrypoint is likely via an `index.js` file, retry with `index.js` appended to path
+      entrypointContent = await fs.promises.readFile(
+        `./dist/${entrypoint
+          .replace(/^\.\//, "")
+          .replace(/\.js$/, "")}/index.js`
+      );
+    }
+  }
+
+  // Allow escaping side effects strictly within code directly
+  // within an entrypoint
+  return entrypointContent
+    ? entrypointContent
+        .toString()
+        .includes("/* __LC_ALLOW_ENTRYPOINT_SIDE_EFFECTS__ */")
+    : false;
+};
+
 async function checkTreeShaking(config: LangChainConfig) {
   const packageJson = JSON.parse(
     await fs.promises.readFile("package.json", "utf8")
@@ -508,14 +542,7 @@ async function checkTreeShaking(config: LangChainConfig) {
 
     let hasUnexpectedSideEffects = sideEffects.length > 0;
     if (hasUnexpectedSideEffects) {
-      const entrypointContent = await fs.promises.readFile(
-        `./dist/${entrypoint.replace(/^\.\//, "")}`
-      );
-      // Allow escaping side effects strictly within code directly
-      // within an entrypoint
-      hasUnexpectedSideEffects = !entrypointContent
-        .toString()
-        .includes("/* __LC_ALLOW_ENTRYPOINT_SIDE_EFFECTS__ */");
+      hasUnexpectedSideEffects = !(await checkAllowSideEffects(entrypoint));
     }
     reportMap.set(entrypoint, {
       log: sideEffects,

From 99062c55f8c09433aa4caacaeaf4b14ef666b499 Mon Sep 17 00:00:00 2001
From: Brace Sproul <braceasproul@gmail.com>
Date: Tue, 20 Aug 2024 14:12:57 -0700
Subject: [PATCH 063/344] scripts[patch]: Release 0.0.22 (#6580)

* scripts[patch]: Release 0.0.22

* yarn install
---
 libs/langchain-scripts/package.json |  2 +-
 yarn.lock                           | 24 +++++++++++++++++++++++-
 2 files changed, 24 insertions(+), 2 deletions(-)

diff --git a/libs/langchain-scripts/package.json b/libs/langchain-scripts/package.json
index 7dcd652ebfa3..16bd6973c053 100644
--- a/libs/langchain-scripts/package.json
+++ b/libs/langchain-scripts/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/scripts",
-  "version": "0.0.21",
+  "version": "0.0.22",
   "description": "Shared scripts for LangChain.js",
   "type": "module",
   "engines": {
diff --git a/yarn.lock b/yarn.lock
index e38a0d0be9c2..1c74f9d25aab 100644
--- a/yarn.lock
+++ b/yarn.lock
@@ -12402,7 +12402,29 @@ __metadata:
   languageName: unknown
   linkType: soft
 
-"@langchain/scripts@^0.0.21, @langchain/scripts@workspace:*, @langchain/scripts@workspace:libs/langchain-scripts, @langchain/scripts@~0.0":
+"@langchain/scripts@npm:^0.0.21":
+  version: 0.0.21
+  resolution: "@langchain/scripts@npm:0.0.21"
+  dependencies:
+    "@rollup/wasm-node": ^4.19.0
+    axios: ^1.6.7
+    commander: ^11.1.0
+    glob: ^10.3.10
+    lodash: ^4.17.21
+    readline: ^1.3.0
+    rimraf: ^5.0.1
+    rollup: ^4.5.2
+    ts-morph: ^21.0.1
+    typescript: ^5.4.5
+  bin:
+    lc-build: bin/build.js
+    lc_build_v2: bin/build_v2.js
+    notebook_validate: bin/validate_notebook.js
+  checksum: 4653f3e5866d5c206013eb3d556bd11cc410e5ad118ed62f3794a3a63de8fc56bab362c537700387a03cf5aee018fc117413c3d6048d50ed9a54adc07006d13c
+  languageName: node
+  linkType: hard
+
+"@langchain/scripts@workspace:*, @langchain/scripts@workspace:libs/langchain-scripts, @langchain/scripts@~0.0":
   version: 0.0.0-use.local
   resolution: "@langchain/scripts@workspace:libs/langchain-scripts"
   dependencies:

From bdf4be4f03f0d165825f67b56966bb5116b6c00f Mon Sep 17 00:00:00 2001
From: Brace Sproul <braceasproul@gmail.com>
Date: Wed, 21 Aug 2024 11:28:38 -0700
Subject: [PATCH 064/344] docs[minor]: Add langsmith few shot example docs
 (#6585)

* docs[minor]: Add langsmith few shot example docs

* fix type errors
---
 .../data/ls_few_shot_example_dataset.json     | 2176 +++++++++++++++++
 .../how_to/example_selectors_langsmith.ipynb  |  553 +++++
 examples/package.json                         |    2 +-
 langchain-core/package.json                   |    2 +-
 langchain-core/src/messages/utils.ts          |    7 +
 yarn.lock                                     |   31 +-
 6 files changed, 2766 insertions(+), 5 deletions(-)
 create mode 100644 docs/core_docs/data/ls_few_shot_example_dataset.json
 create mode 100644 docs/core_docs/docs/how_to/example_selectors_langsmith.ipynb

diff --git a/docs/core_docs/data/ls_few_shot_example_dataset.json b/docs/core_docs/data/ls_few_shot_example_dataset.json
new file mode 100644
index 000000000000..05ffd8e5cc69
--- /dev/null
+++ b/docs/core_docs/data/ls_few_shot_example_dataset.json
@@ -0,0 +1,2176 @@
+[
+  {
+    "id": "646668fd-f11a-4379-9a29-4b109a2d5b2c",
+    "created_at": "2024-07-08T22:29:20.545604+00:00",
+    "modified_at": "2024-08-15T18:02:12.047567+00:00",
+    "name": "#6466 @ multiverse-math-examples-for-few-shot",
+    "dataset_id": "d64fd4c5-5642-40fe-85d1-d757467415b6",
+    "source_run_id": "0d1e8e6e-35d4-4fcc-a467-86df53b6d1db",
+    "metadata": {
+      "dataset_split": [
+        "base"
+      ]
+    },
+    "inputs": {
+      "input": "-(2 + 1/1)",
+      "system": false
+    },
+    "outputs": {
+      "output": [
+        {
+          "id": "be323bd4-13cd-4b46-ba68-28a5ed967d72",
+          "type": "system",
+          "content": "You are requested to solve math questions in an alternate mathematical universe. The operations have been altered to yield different results than expected. Do not guess the answer or rely on your  innate knowledge of math. Use the provided tools to answer the question. While associativity and commutativity apply, distributivity does not. Answer the question using the fewest possible tools. Please return a non-empty answer that includes the numeric response on its own without any clarifications.",
+          "additional_kwargs": {},
+          "response_metadata": {}
+        },
+        {
+          "id": "bd54fd59-521b-45b7-b2e9-08acf3332f5f",
+          "type": "human",
+          "content": "-(2 + 1/1)",
+          "example": false,
+          "additional_kwargs": {},
+          "response_metadata": {}
+        },
+        {
+          "id": "run-0e266463-50cd-4c1a-b27b-b59ad1ec6159-0",
+          "type": "ai",
+          "content": [
+            {
+              "text": "Here is how to calculate -(2 + 1/1) using the provided tools:",
+              "type": "text"
+            },
+            {
+              "id": "toolu_01SNLptzRgnhwTDmxHx4STSe",
+              "name": "divide",
+              "type": "tool_use",
+              "input": {
+                "a": 1,
+                "b": 1
+              }
+            }
+          ],
+          "example": false,
+          "tool_calls": [
+            {
+              "id": "toolu_01SNLptzRgnhwTDmxHx4STSe",
+              "args": {
+                "a": 1,
+                "b": 1
+              },
+              "name": "divide"
+            }
+          ],
+          "usage_metadata": {
+            "input_tokens": 892,
+            "total_tokens": 981,
+            "output_tokens": 89
+          },
+          "additional_kwargs": {},
+          "response_metadata": {
+            "id": "msg_01VvfJ3GkFHJZ69ZS7WygFrd",
+            "model": "claude-3-sonnet-20240229",
+            "usage": {
+              "input_tokens": 892,
+              "output_tokens": 89
+            },
+            "stop_reason": "tool_use",
+            "stop_sequence": null
+          },
+          "invalid_tool_calls": []
+        },
+        {
+          "id": "95b3e1f7-e72f-497b-a4c9-54b846440628",
+          "name": "divide",
+          "type": "tool",
+          "content": "0.5",
+          "tool_call_id": "toolu_01SNLptzRgnhwTDmxHx4STSe",
+          "additional_kwargs": {},
+          "response_metadata": {}
+        },
+        {
+          "id": "run-24405a09-ad67-46c2-b7c3-1c6ae2c1adfb-0",
+          "type": "ai",
+          "content": [
+            {
+              "id": "toolu_01CdkUVCzwXNyYgkpktpqrtZ",
+              "name": "add",
+              "type": "tool_use",
+              "input": {
+                "a": 2,
+                "b": 0.5
+              }
+            }
+          ],
+          "example": false,
+          "tool_calls": [
+            {
+              "id": "toolu_01CdkUVCzwXNyYgkpktpqrtZ",
+              "args": {
+                "a": 2,
+                "b": 0.5
+              },
+              "name": "add"
+            }
+          ],
+          "usage_metadata": {
+            "input_tokens": 995,
+            "total_tokens": 1066,
+            "output_tokens": 71
+          },
+          "additional_kwargs": {},
+          "response_metadata": {
+            "id": "msg_011Cbd6wmPNL5jiuyC8jiDmr",
+            "model": "claude-3-sonnet-20240229",
+            "usage": {
+              "input_tokens": 995,
+              "output_tokens": 71
+            },
+            "stop_reason": "tool_use",
+            "stop_sequence": null
+          },
+          "invalid_tool_calls": []
+        },
+        {
+          "id": "873fdae7-359b-4ef1-82db-b7c322fdd207",
+          "name": "add",
+          "type": "tool",
+          "content": "3.7",
+          "tool_call_id": "toolu_01CdkUVCzwXNyYgkpktpqrtZ",
+          "additional_kwargs": {},
+          "response_metadata": {}
+        },
+        {
+          "id": "run-78284a0e-ac49-4c6a-8bba-d29d9458235e-0",
+          "type": "ai",
+          "content": [
+            {
+              "id": "toolu_01SP9dMetiCT7jsj9gN6pXpW",
+              "name": "negate",
+              "type": "tool_use",
+              "input": {
+                "a": 3.7
+              }
+            }
+          ],
+          "example": false,
+          "tool_calls": [
+            {
+              "id": "toolu_01SP9dMetiCT7jsj9gN6pXpW",
+              "args": {
+                "a": 3.7
+              },
+              "name": "negate"
+            }
+          ],
+          "usage_metadata": {
+            "input_tokens": 1080,
+            "total_tokens": 1135,
+            "output_tokens": 55
+          },
+          "additional_kwargs": {},
+          "response_metadata": {
+            "id": "msg_01X4vR4Mn5hFt3AxnrR5YNr6",
+            "model": "claude-3-sonnet-20240229",
+            "usage": {
+              "input_tokens": 1080,
+              "output_tokens": 55
+            },
+            "stop_reason": "tool_use",
+            "stop_sequence": null
+          },
+          "invalid_tool_calls": []
+        },
+        {
+          "id": "e154f0cb-fa05-4020-abb9-080f0cd92d79",
+          "name": "negate",
+          "type": "tool",
+          "content": "3.7",
+          "tool_call_id": "toolu_01SP9dMetiCT7jsj9gN6pXpW",
+          "additional_kwargs": {},
+          "response_metadata": {}
+        },
+        {
+          "id": "run-5f40b61b-485a-40ae-93ae-a61bbd800f09-0",
+          "type": "ai",
+          "content": "So the result of -(2 + 1/1) in this alternate universe is 3.7.",
+          "example": false,
+          "tool_calls": [],
+          "usage_metadata": {
+            "input_tokens": 1149,
+            "total_tokens": 1177,
+            "output_tokens": 28
+          },
+          "additional_kwargs": {},
+          "response_metadata": {
+            "id": "msg_01TfCqdEytXBEoUQ68JSMkVj",
+            "model": "claude-3-sonnet-20240229",
+            "usage": {
+              "input_tokens": 1149,
+              "output_tokens": 28
+            },
+            "stop_reason": "end_turn",
+            "stop_sequence": null
+          },
+          "invalid_tool_calls": []
+        },
+        {
+          "id": "90cbb099-abf3-48f9-b5a9-a36324e82fd4",
+          "type": "human",
+          "content": "You got the correct answer of 3.7, but your response included additional text. Please return the correct numerical answer of 3.7 to the user.",
+          "example": false,
+          "additional_kwargs": {},
+          "response_metadata": {}
+        },
+        {
+          "id": "run-c8521068-27d7-4ba6-a1a3-51e27ef1add1-0",
+          "type": "ai",
+          "content": "3.7",
+          "example": false,
+          "tool_calls": [],
+          "usage_metadata": {
+            "input_tokens": 1214,
+            "total_tokens": 1221,
+            "output_tokens": 7
+          },
+          "additional_kwargs": {},
+          "response_metadata": {
+            "id": "msg_01VWCSzRm46ruZEqZJL9nwf6",
+            "model": "claude-3-sonnet-20240229",
+            "usage": {
+              "input_tokens": 1214,
+              "output_tokens": 7
+            },
+            "stop_reason": "end_turn",
+            "stop_sequence": null
+          },
+          "invalid_tool_calls": []
+        }
+      ]
+    }
+  },
+  {
+    "id": "c9c1f569-d456-4246-9956-7cbd9fa1643f",
+    "created_at": "2024-07-08T23:30:12.484721+00:00",
+    "modified_at": "2024-08-15T18:01:54.639132+00:00",
+    "name": "#c9c1 @ multiverse-math-examples-for-few-shot",
+    "dataset_id": "d64fd4c5-5642-40fe-85d1-d757467415b6",
+    "source_run_id": "d70c2f5c-c67f-4df5-a171-44fbaaef8973",
+    "metadata": {
+      "dataset_split": [
+        "base"
+      ]
+    },
+    "inputs": {
+      "input": "evaluate negate(-131,778)",
+      "system": false
+    },
+    "outputs": {
+      "output": [
+        {
+          "id": "9c6222d9-c1f5-4134-91bb-585ab9d8c76a",
+          "type": "system",
+          "content": "You are requested to solve math questions in an alternate mathematical universe. The operations have been altered to yield different results than expected. Do not guess the answer or rely on your  innate knowledge of math. Use the provided tools to answer the question. While associativity and commutativity apply, distributivity does not. Answer the question using the fewest possible tools. Your final answer should include the numeric response on its own without any clarifications. Please return a non-empty answer.",
+          "additional_kwargs": {},
+          "response_metadata": {}
+        },
+        {
+          "id": "f6770a24-520e-4007-8445-3fedae7111fb",
+          "type": "human",
+          "content": "evaluate negate(-131,778)",
+          "example": false,
+          "additional_kwargs": {},
+          "response_metadata": {}
+        },
+        {
+          "id": "run-863b1744-5b04-4e8e-9f24-69ba6103da96-0",
+          "type": "ai",
+          "content": [
+            {
+              "id": "toolu_01Wof73Bby8miDefBHxtkkqT",
+              "name": "negate",
+              "type": "tool_use",
+              "input": {
+                "a": -131778
+              }
+            }
+          ],
+          "example": false,
+          "tool_calls": [
+            {
+              "id": "toolu_01Wof73Bby8miDefBHxtkkqT",
+              "args": {
+                "a": -131778
+              },
+              "name": "negate"
+            }
+          ],
+          "usage_metadata": {
+            "input_tokens": 894,
+            "total_tokens": 948,
+            "output_tokens": 54
+          },
+          "additional_kwargs": {},
+          "response_metadata": {
+            "id": "msg_01UrTuLYZJwFhPiYSADHWc2D",
+            "model": "claude-3-sonnet-20240229",
+            "usage": {
+              "input_tokens": 894,
+              "output_tokens": 54
+            },
+            "stop_reason": "tool_use",
+            "stop_sequence": null
+          },
+          "invalid_tool_calls": []
+        },
+        {
+          "id": "21f5bc1b-975a-406d-903b-eefc374d5497",
+          "name": "negate",
+          "type": "tool",
+          "content": "-131778.0",
+          "tool_call_id": "toolu_01Wof73Bby8miDefBHxtkkqT",
+          "additional_kwargs": {},
+          "response_metadata": {}
+        },
+        {
+          "id": "run-8d33b16a-9507-4b83-82ba-5840f85664c1-0",
+          "type": "ai",
+          "content": "Therefore, the answer is 131778.0",
+          "example": false,
+          "tool_calls": [],
+          "usage_metadata": {
+            "input_tokens": 965,
+            "total_tokens": 979,
+            "output_tokens": 14
+          },
+          "additional_kwargs": {},
+          "response_metadata": {
+            "id": "msg_01TPHCoxNXqTtWXMZddWdrbP",
+            "model": "claude-3-sonnet-20240229",
+            "usage": {
+              "input_tokens": 965,
+              "output_tokens": 14
+            },
+            "stop_reason": "end_turn",
+            "stop_sequence": null
+          },
+          "invalid_tool_calls": []
+        },
+        {
+          "id": "88fec757-c12a-4cfa-aa2d-2d2ec27fac2e",
+          "type": "human",
+          "content": "Please use the output of the negate tool correctly, and return a numerical answer only to the user.",
+          "example": false,
+          "additional_kwargs": {},
+          "response_metadata": {}
+        },
+        {
+          "id": "run-88b2ebbd-c687-435a-a7d0-58e44d5bd13e-0",
+          "type": "ai",
+          "content": [
+            {
+              "id": "toolu_01JRRLgMWpDjNJ7djQodX8BR",
+              "name": "negate",
+              "type": "tool_use",
+              "input": {
+                "a": -131778
+              }
+            }
+          ],
+          "example": false,
+          "tool_calls": [
+            {
+              "id": "toolu_01JRRLgMWpDjNJ7djQodX8BR",
+              "args": {
+                "a": -131778
+              },
+              "name": "negate"
+            }
+          ],
+          "usage_metadata": {
+            "input_tokens": 1003,
+            "total_tokens": 1057,
+            "output_tokens": 54
+          },
+          "additional_kwargs": {},
+          "response_metadata": {
+            "id": "msg_01NUGNnVXywV29Cx5o93VkHd",
+            "model": "claude-3-sonnet-20240229",
+            "usage": {
+              "input_tokens": 1003,
+              "output_tokens": 54
+            },
+            "stop_reason": "tool_use",
+            "stop_sequence": null
+          },
+          "invalid_tool_calls": []
+        },
+        {
+          "id": "c30e47d9-845d-43ea-9596-15d53c754fd5",
+          "name": "negate",
+          "type": "tool",
+          "content": "-131778.0",
+          "tool_call_id": "toolu_01JRRLgMWpDjNJ7djQodX8BR",
+          "additional_kwargs": {},
+          "response_metadata": {}
+        },
+        {
+          "id": "run-7fdc3c94-27c4-42e4-808a-a4b74fb24265-0",
+          "type": "ai",
+          "content": "131778.0",
+          "example": false,
+          "tool_calls": [],
+          "usage_metadata": {
+            "input_tokens": 1074,
+            "total_tokens": 1082,
+            "output_tokens": 8
+          },
+          "additional_kwargs": {},
+          "response_metadata": {
+            "id": "msg_01CL6Qer4ErNKbUWVhPDqNQ6",
+            "model": "claude-3-sonnet-20240229",
+            "usage": {
+              "input_tokens": 1074,
+              "output_tokens": 8
+            },
+            "stop_reason": "end_turn",
+            "stop_sequence": null
+          },
+          "invalid_tool_calls": []
+        },
+        {
+          "id": "9da0f050-7b86-4e97-904f-78e374620928",
+          "type": "human",
+          "content": "The tool is outputting -131778, but you are returning 131778. Please fix this error and return the correct tool output to the user.",
+          "example": false,
+          "additional_kwargs": {},
+          "response_metadata": {}
+        },
+        {
+          "id": "run-349122b2-5cd1-414b-a3e7-0c0586d6e78e-0",
+          "type": "ai",
+          "content": "-131778.0",
+          "example": false,
+          "tool_calls": [],
+          "usage_metadata": {
+            "input_tokens": 1116,
+            "total_tokens": 1124,
+            "output_tokens": 8
+          },
+          "additional_kwargs": {},
+          "response_metadata": {
+            "id": "msg_018jMmGf3qfaNZptZb5vWUSw",
+            "model": "claude-3-sonnet-20240229",
+            "usage": {
+              "input_tokens": 1116,
+              "output_tokens": 8
+            },
+            "stop_reason": "end_turn",
+            "stop_sequence": null
+          },
+          "invalid_tool_calls": []
+        }
+      ]
+    }
+  },
+  {
+    "id": "33243dc4-a558-4ee8-943d-38ba42c5562b",
+    "created_at": "2024-07-09T18:29:40.803329+00:00",
+    "modified_at": "2024-08-15T18:01:42.238491+00:00",
+    "name": "#3324 @ multiverse-math-examples-for-few-shot",
+    "dataset_id": "d64fd4c5-5642-40fe-85d1-d757467415b6",
+    "source_run_id": "96448823-4e13-48c4-97c2-87302334d5dc",
+    "metadata": {
+      "dataset_split": [
+        "base"
+      ]
+    },
+    "inputs": {
+      "input": "If I earn 5% monthly interest, and I start with 10 dollars how much money will I have at the end of the year?",
+      "system": false
+    },
+    "outputs": {
+      "output": [
+        {
+          "id": "552c2e8e-8389-4673-9139-c32876717786",
+          "type": "system",
+          "content": "You are requested to solve math questions in an alternate mathematical universe. The operations have been altered to yield different results than expected. Do not guess the answer or rely on your innate knowledge of math. Use the provided tools to answer the question. While associativity and commutativity apply, distributivity does not. Answer the question using the fewest possible tools. Your final answer should include the numeric response on its own without any clarifications. That means if the answer is 5, you should return \"5\" and not \"The answer is 5\" or \"So the answer to your question is 5\".",
+          "additional_kwargs": {},
+          "response_metadata": {}
+        },
+        {
+          "id": "a7f41758-ca33-4121-8d7f-7fc396314e04",
+          "type": "human",
+          "content": "If I earn 5% monthly interest, and I start with 10 dollars how much money will I have at the end of the year?",
+          "example": false,
+          "additional_kwargs": {},
+          "response_metadata": {}
+        },
+        {
+          "id": "run-2e8cb241-792a-41e2-84c5-e8e71d7580b5-0",
+          "type": "ai",
+          "content": [
+            {
+              "text": "Okay, let's break this down step-by-step using the provided tools:",
+              "type": "text"
+            },
+            {
+              "id": "toolu_01AcUN6M8mAA6dpstTstQAKb",
+              "name": "multiply",
+              "type": "tool_use",
+              "input": {
+                "a": 10,
+                "b": 1.05
+              }
+            }
+          ],
+          "example": false,
+          "tool_calls": [
+            {
+              "id": "toolu_01AcUN6M8mAA6dpstTstQAKb",
+              "args": {
+                "a": 10,
+                "b": 1.05
+              },
+              "name": "multiply"
+            }
+          ],
+          "usage_metadata": {
+            "input_tokens": 943,
+            "total_tokens": 1031,
+            "output_tokens": 88
+          },
+          "additional_kwargs": {},
+          "response_metadata": {
+            "id": "msg_017RUX7BLpxFxNSW3kYmTeAs",
+            "model": "claude-3-sonnet-20240229",
+            "usage": {
+              "input_tokens": 943,
+              "output_tokens": 88
+            },
+            "stop_reason": "tool_use",
+            "stop_sequence": null
+          },
+          "invalid_tool_calls": []
+        },
+        {
+          "id": "b60c0094-fb6d-44db-9ab0-24bc6fdb4cd7",
+          "name": "multiply",
+          "type": "tool",
+          "content": "11.55",
+          "tool_call_id": "toolu_01AcUN6M8mAA6dpstTstQAKb",
+          "additional_kwargs": {},
+          "response_metadata": {}
+        },
+        {
+          "id": "run-f50fef08-89bb-4f6f-909c-8d25c5260d0c-0",
+          "type": "ai",
+          "content": [
+            {
+              "text": "This calculates the amount after 1 month with 5% interest on the initial $10.\n\nTo calculate for the full year, we can repeatedly apply this operation 12 times:",
+              "type": "text"
+            },
+            {
+              "id": "toolu_01VQMnv3A6YE1BJMRuL9j1vW",
+              "name": "power",
+              "type": "tool_use",
+              "input": {
+                "a": 1.05,
+                "b": 12
+              }
+            }
+          ],
+          "example": false,
+          "tool_calls": [
+            {
+              "id": "toolu_01VQMnv3A6YE1BJMRuL9j1vW",
+              "args": {
+                "a": 1.05,
+                "b": 12
+              },
+              "name": "power"
+            }
+          ],
+          "usage_metadata": {
+            "input_tokens": 1046,
+            "total_tokens": 1158,
+            "output_tokens": 112
+          },
+          "additional_kwargs": {},
+          "response_metadata": {
+            "id": "msg_01QXCFsM79ZEjxZibHv2Y1CF",
+            "model": "claude-3-sonnet-20240229",
+            "usage": {
+              "input_tokens": 1046,
+              "output_tokens": 112
+            },
+            "stop_reason": "tool_use",
+            "stop_sequence": null
+          },
+          "invalid_tool_calls": []
+        },
+        {
+          "id": "5ed0dbe5-3dd1-4104-84bb-fe487038e971",
+          "name": "power",
+          "type": "tool",
+          "content": "1.9799315994393987",
+          "tool_call_id": "toolu_01VQMnv3A6YE1BJMRuL9j1vW",
+          "additional_kwargs": {},
+          "response_metadata": {}
+        },
+        {
+          "id": "run-b423e2c7-8dd2-4e10-a6ca-ff25bfd1a0ec-0",
+          "type": "ai",
+          "content": [
+            {
+              "text": "Then multiply the initial $10 by this result:",
+              "type": "text"
+            },
+            {
+              "id": "toolu_01GR5C9CLsAhvStCGNZqcAbF",
+              "name": "multiply",
+              "type": "tool_use",
+              "input": {
+                "a": 10,
+                "b": 1.9799315994393987
+              }
+            }
+          ],
+          "example": false,
+          "tool_calls": [
+            {
+              "id": "toolu_01GR5C9CLsAhvStCGNZqcAbF",
+              "args": {
+                "a": 10,
+                "b": 1.9799315994393987
+              },
+              "name": "multiply"
+            }
+          ],
+          "usage_metadata": {
+            "input_tokens": 1177,
+            "total_tokens": 1265,
+            "output_tokens": 88
+          },
+          "additional_kwargs": {},
+          "response_metadata": {
+            "id": "msg_016WrvMUw8i9rLMnaVKdjJY6",
+            "model": "claude-3-sonnet-20240229",
+            "usage": {
+              "input_tokens": 1177,
+              "output_tokens": 88
+            },
+            "stop_reason": "tool_use",
+            "stop_sequence": null
+          },
+          "invalid_tool_calls": []
+        },
+        {
+          "id": "25be6748-1e78-4818-8b0b-20d3cb532570",
+          "name": "multiply",
+          "type": "tool",
+          "content": "21.779247593833386",
+          "tool_call_id": "toolu_01GR5C9CLsAhvStCGNZqcAbF",
+          "additional_kwargs": {},
+          "response_metadata": {}
+        },
+        {
+          "id": "run-7691499f-0a67-4894-9ab4-61bc6d398f6f-0",
+          "type": "ai",
+          "content": "So with an initial $10 and 5% monthly interest compounded monthly, the amount at the end of 1 year in this alternate universe is 21.779247593833386.",
+          "example": false,
+          "tool_calls": [],
+          "usage_metadata": {
+            "input_tokens": 1283,
+            "total_tokens": 1328,
+            "output_tokens": 45
+          },
+          "additional_kwargs": {},
+          "response_metadata": {
+            "id": "msg_01JCK4R6nwNjdiFVt5hV14Wj",
+            "model": "claude-3-sonnet-20240229",
+            "usage": {
+              "input_tokens": 1283,
+              "output_tokens": 45
+            },
+            "stop_reason": "end_turn",
+            "stop_sequence": null
+          },
+          "invalid_tool_calls": []
+        },
+        {
+          "id": "b7ea9655-b8ec-4be1-a3f2-c6bd6f3f188b",
+          "type": "human",
+          "content": "You found the correct answer of 21.779247593833386, but your final response to the user included additional text. Please only return the correct answer.",
+          "example": false,
+          "additional_kwargs": {},
+          "response_metadata": {}
+        },
+        {
+          "id": "run-22f8c361-9e93-412f-97f6-9918396bc7a1-0",
+          "type": "ai",
+          "content": "21.779247593833386",
+          "example": false,
+          "tool_calls": [],
+          "usage_metadata": {
+            "input_tokens": 1364,
+            "total_tokens": 1375,
+            "output_tokens": 11
+          },
+          "additional_kwargs": {},
+          "response_metadata": {
+            "id": "msg_01Puvngg6iTza8JT1FjkPbGJ",
+            "model": "claude-3-sonnet-20240229",
+            "usage": {
+              "input_tokens": 1364,
+              "output_tokens": 11
+            },
+            "stop_reason": "end_turn",
+            "stop_sequence": null
+          },
+          "invalid_tool_calls": []
+        }
+      ]
+    }
+  },
+  {
+    "id": "034358b8-1f29-437b-b756-b69a98fe84a7",
+    "created_at": "2024-07-09T19:01:51.89186+00:00",
+    "modified_at": "2024-08-15T18:01:29.784596+00:00",
+    "name": "#0343 @ multiverse-math-examples-for-few-shot",
+    "dataset_id": "d64fd4c5-5642-40fe-85d1-d757467415b6",
+    "source_run_id": "e53ce0b6-e3c0-4710-be31-d7110c1dd20d",
+    "metadata": {
+      "dataset_split": [
+        "base"
+      ]
+    },
+    "inputs": {
+      "input": "What is the product of the odd numbers between 0-10?",
+      "system": false
+    },
+    "outputs": {
+      "output": [
+        {
+          "id": "5fb109a9-7779-47d2-a93b-30753afd8044",
+          "type": "system",
+          "content": "You are requested to solve math questions in an alternate mathematical universe. The operations have been altered to yield different results than expected. Do not guess the answer or rely on your innate knowledge of math. Use the provided tools to answer the question. While associativity and commutativity apply, distributivity does not. Answer the question using the fewest possible tools. Your final answer should include the numeric response on its own without any clarifications. That means if the answer is 5, you should return \"5\" and not \"The answer is 5\" or \"So the answer to your question is 5\".",
+          "additional_kwargs": {},
+          "response_metadata": {}
+        },
+        {
+          "id": "c2c64324-10c1-483b-bbe4-40cdbd080161",
+          "type": "human",
+          "content": "What is the product of the odd numbers between 0-10?",
+          "example": false,
+          "additional_kwargs": {},
+          "response_metadata": {}
+        },
+        {
+          "id": "run-e9a337d1-046f-449b-8aa0-7e26c37430cd-0",
+          "type": "ai",
+          "content": [
+            {
+              "text": "Here is how to calculate the product of the odd numbers between 0 and 10 using the provided tools:",
+              "type": "text"
+            },
+            {
+              "id": "toolu_01KNcT7ZQXCfNZgbbbBZQcFi",
+              "name": "multiply",
+              "type": "tool_use",
+              "input": {
+                "a": 1,
+                "b": 3
+              }
+            }
+          ],
+          "example": false,
+          "tool_calls": [
+            {
+              "id": "toolu_01KNcT7ZQXCfNZgbbbBZQcFi",
+              "args": {
+                "a": 1,
+                "b": 3
+              },
+              "name": "multiply"
+            }
+          ],
+          "usage_metadata": {
+            "input_tokens": 927,
+            "total_tokens": 1020,
+            "output_tokens": 93
+          },
+          "additional_kwargs": {},
+          "response_metadata": {
+            "id": "msg_01F7ZV92AdCE7H8JxT2qYe9m",
+            "model": "claude-3-sonnet-20240229",
+            "usage": {
+              "input_tokens": 927,
+              "output_tokens": 93
+            },
+            "stop_reason": "tool_use",
+            "stop_sequence": null
+          },
+          "invalid_tool_calls": []
+        },
+        {
+          "id": "81bf003b-3462-4c83-a48b-e8a898bc0c25",
+          "name": "multiply",
+          "type": "tool",
+          "content": "3.3",
+          "tool_call_id": "toolu_01KNcT7ZQXCfNZgbbbBZQcFi",
+          "additional_kwargs": {},
+          "response_metadata": {}
+        },
+        {
+          "id": "run-4a4c9725-66cc-4791-938c-ba5dda946958-0",
+          "type": "ai",
+          "content": [
+            {
+              "id": "toolu_01SwKfTekPgfMcDPPZVmpeMp",
+              "name": "multiply",
+              "type": "tool_use",
+              "input": {
+                "a": 3.3,
+                "b": 5
+              }
+            }
+          ],
+          "example": false,
+          "tool_calls": [
+            {
+              "id": "toolu_01SwKfTekPgfMcDPPZVmpeMp",
+              "args": {
+                "a": 3.3,
+                "b": 5
+              },
+              "name": "multiply"
+            }
+          ],
+          "usage_metadata": {
+            "input_tokens": 1034,
+            "total_tokens": 1105,
+            "output_tokens": 71
+          },
+          "additional_kwargs": {},
+          "response_metadata": {
+            "id": "msg_01X2MqYR5G7DmAxkA7tkbJdK",
+            "model": "claude-3-sonnet-20240229",
+            "usage": {
+              "input_tokens": 1034,
+              "output_tokens": 71
+            },
+            "stop_reason": "tool_use",
+            "stop_sequence": null
+          },
+          "invalid_tool_calls": []
+        },
+        {
+          "id": "c303cb96-5884-4dbb-80e4-52bfb2d8be3d",
+          "name": "multiply",
+          "type": "tool",
+          "content": "18.15",
+          "tool_call_id": "toolu_01SwKfTekPgfMcDPPZVmpeMp",
+          "additional_kwargs": {},
+          "response_metadata": {}
+        },
+        {
+          "id": "run-27ff6d22-a454-493c-b6d6-69c30dbf9737-0",
+          "type": "ai",
+          "content": [
+            {
+              "id": "toolu_01QjKrxNqkAmetaxLgsr7Bo5",
+              "name": "multiply",
+              "type": "tool_use",
+              "input": {
+                "a": 18.15,
+                "b": 7
+              }
+            }
+          ],
+          "example": false,
+          "tool_calls": [
+            {
+              "id": "toolu_01QjKrxNqkAmetaxLgsr7Bo5",
+              "args": {
+                "a": 18.15,
+                "b": 7
+              },
+              "name": "multiply"
+            }
+          ],
+          "usage_metadata": {
+            "input_tokens": 1119,
+            "total_tokens": 1190,
+            "output_tokens": 71
+          },
+          "additional_kwargs": {},
+          "response_metadata": {
+            "id": "msg_014yB3FDWkRMrJXbbHoY4wxy",
+            "model": "claude-3-sonnet-20240229",
+            "usage": {
+              "input_tokens": 1119,
+              "output_tokens": 71
+            },
+            "stop_reason": "tool_use",
+            "stop_sequence": null
+          },
+          "invalid_tool_calls": []
+        },
+        {
+          "id": "4f89ea15-0be0-4a76-b48d-01549ab0930c",
+          "name": "multiply",
+          "type": "tool",
+          "content": "139.755",
+          "tool_call_id": "toolu_01QjKrxNqkAmetaxLgsr7Bo5",
+          "additional_kwargs": {},
+          "response_metadata": {}
+        },
+        {
+          "id": "run-4827dd2f-b40b-4e1d-a372-4a146881321f-0",
+          "type": "ai",
+          "content": [
+            {
+              "id": "toolu_01N9S9eDnznaxu2ZbVvPYdes",
+              "name": "multiply",
+              "type": "tool_use",
+              "input": {
+                "a": 139.755,
+                "b": 9
+              }
+            }
+          ],
+          "example": false,
+          "tool_calls": [
+            {
+              "id": "toolu_01N9S9eDnznaxu2ZbVvPYdes",
+              "args": {
+                "a": 139.755,
+                "b": 9
+              },
+              "name": "multiply"
+            }
+          ],
+          "usage_metadata": {
+            "input_tokens": 1204,
+            "total_tokens": 1275,
+            "output_tokens": 71
+          },
+          "additional_kwargs": {},
+          "response_metadata": {
+            "id": "msg_018G5j4ahPH1ymCCBKd9J5zA",
+            "model": "claude-3-sonnet-20240229",
+            "usage": {
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+              "output_tokens": 71
+            },
+            "stop_reason": "tool_use",
+            "stop_sequence": null
+          },
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+        },
+        {
+          "id": "75a0f193-f3fd-42c0-903c-a38f92469dc8",
+          "name": "multiply",
+          "type": "tool",
+          "content": "1383.5745",
+          "tool_call_id": "toolu_01N9S9eDnznaxu2ZbVvPYdes",
+          "additional_kwargs": {},
+          "response_metadata": {}
+        },
+        {
+          "id": "run-643cbd84-57d7-40be-9c3e-c490896b3e0d-0",
+          "type": "ai",
+          "content": "So the product of the odd numbers between 0 and 10 is 1383.5745",
+          "example": false,
+          "tool_calls": [],
+          "usage_metadata": {
+            "input_tokens": 1291,
+            "total_tokens": 1317,
+            "output_tokens": 26
+          },
+          "additional_kwargs": {},
+          "response_metadata": {
+            "id": "msg_01VvwTB4oMXKyCsr1f274qf9",
+            "model": "claude-3-sonnet-20240229",
+            "usage": {
+              "input_tokens": 1291,
+              "output_tokens": 26
+            },
+            "stop_reason": "end_turn",
+            "stop_sequence": null
+          },
+          "invalid_tool_calls": []
+        },
+        {
+          "id": "8857a93d-6bc9-4689-8be7-5e630a029cb2",
+          "type": "human",
+          "content": "You found the correct answer, but your final response to the user included additional text. Please only return the correct answer.",
+          "example": false,
+          "additional_kwargs": {},
+          "response_metadata": {}
+        },
+        {
+          "id": "run-4f500072-2e25-4cf5-b53c-231b744da550-0",
+          "type": "ai",
+          "content": "1383.5745",
+          "example": false,
+          "tool_calls": [],
+          "usage_metadata": {
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+            "total_tokens": 1353,
+            "output_tokens": 9
+          },
+          "additional_kwargs": {},
+          "response_metadata": {
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+            "model": "claude-3-sonnet-20240229",
+            "usage": {
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+              "output_tokens": 9
+            },
+            "stop_reason": "end_turn",
+            "stop_sequence": null
+          },
+          "invalid_tool_calls": []
+        }
+      ]
+    }
+  },
+  {
+    "id": "415dd80f-c6fe-4350-aec3-ca35fbb8bafa",
+    "created_at": "2024-07-09T19:37:14.641556+00:00",
+    "modified_at": "2024-08-15T18:01:14.492779+00:00",
+    "name": "#415d @ multiverse-math-examples-for-few-shot",
+    "dataset_id": "d64fd4c5-5642-40fe-85d1-d757467415b6",
+    "source_run_id": "3e207d90-6880-4496-ba67-093b41d2bf3d",
+    "metadata": {
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+      ]
+    },
+    "inputs": {
+      "input": "evaluate the negation of -100",
+      "system": false
+    },
+    "outputs": {
+      "output": [
+        {
+          "id": "43d1f620-1f59-46f5-b99b-96efc5bfebd8",
+          "type": "system",
+          "content": "You are requested to solve math questions in an alternate mathematical universe. The operations have been altered to yield different results than expected. Do not guess the answer or rely on your innate knowledge of math. Use the provided tools to answer the question. While associativity and commutativity apply, distributivity does not. Answer the question using the fewest possible tools. Your final answer should include the numeric response on its own without any clarifications. That means if the answer is 5, you should return \"5\" and not \"The answer is 5\" or \"So the answer to your question is 5\".",
+          "additional_kwargs": {},
+          "response_metadata": {}
+        },
+        {
+          "id": "df7b244e-98f8-48ea-8e43-cdd7b283bcd3",
+          "type": "human",
+          "content": "evaluate the negation of -100",
+          "example": false,
+          "additional_kwargs": {},
+          "response_metadata": {}
+        },
+        {
+          "id": "run-f2dcb8ec-45ff-4920-af49-b5a7bfa6a3cc-0",
+          "type": "ai",
+          "content": [
+            {
+              "id": "toolu_01HTpq4cYNUac6F7omUc2Wz3",
+              "name": "negate",
+              "type": "tool_use",
+              "input": {
+                "a": -100
+              }
+            }
+          ],
+          "example": false,
+          "tool_calls": [
+            {
+              "id": "toolu_01HTpq4cYNUac6F7omUc2Wz3",
+              "args": {
+                "a": -100
+              },
+              "name": "negate"
+            }
+          ],
+          "usage_metadata": {
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+            "total_tokens": 973,
+            "output_tokens": 53
+          },
+          "additional_kwargs": {},
+          "response_metadata": {
+            "id": "msg_01YUXV8e7RLcYf7FLTStX68D",
+            "model": "claude-3-sonnet-20240229",
+            "usage": {
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+              "output_tokens": 53
+            },
+            "stop_reason": "tool_use",
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+          },
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+        },
+        {
+          "id": "492a7f3f-0464-4312-9cfb-7671943e4065",
+          "name": "negate",
+          "type": "tool",
+          "content": "-100.0",
+          "tool_call_id": "toolu_01HTpq4cYNUac6F7omUc2Wz3",
+          "additional_kwargs": {},
+          "response_metadata": {}
+        },
+        {
+          "id": "run-88edae55-abb3-4d2c-b096-a85e45ee04b6-0",
+          "type": "ai",
+          "content": "So the answer is 100.",
+          "example": false,
+          "tool_calls": [],
+          "usage_metadata": {
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+            "total_tokens": 1000,
+            "output_tokens": 11
+          },
+          "additional_kwargs": {},
+          "response_metadata": {
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+            "model": "claude-3-sonnet-20240229",
+            "usage": {
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+              "output_tokens": 11
+            },
+            "stop_reason": "end_turn",
+            "stop_sequence": null
+          },
+          "invalid_tool_calls": []
+        },
+        {
+          "id": "964f806e-44a9-46d5-9805-8f367fe7f141",
+          "type": "human",
+          "content": "100 is incorrect. Please refer to the output of your tool call.",
+          "example": false,
+          "additional_kwargs": {},
+          "response_metadata": {}
+        },
+        {
+          "id": "run-e6c73250-c5b2-4805-83af-0b7cea1aba2b-0",
+          "type": "ai",
+          "content": [
+            {
+              "text": "You're right, my previous answer was incorrect. Let me re-evaluate using the tool output:",
+              "type": "text"
+            },
+            {
+              "id": "toolu_01XsJQboYghGDygQpPjJkeRq",
+              "name": "negate",
+              "type": "tool_use",
+              "input": {
+                "a": -100
+              }
+            }
+          ],
+          "example": false,
+          "tool_calls": [
+            {
+              "id": "toolu_01XsJQboYghGDygQpPjJkeRq",
+              "args": {
+                "a": -100
+              },
+              "name": "negate"
+            }
+          ],
+          "usage_metadata": {
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+            "total_tokens": 1093,
+            "output_tokens": 74
+          },
+          "additional_kwargs": {},
+          "response_metadata": {
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+            "model": "claude-3-sonnet-20240229",
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+              "output_tokens": 74
+            },
+            "stop_reason": "tool_use",
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+          },
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+        },
+        {
+          "id": "fbf42cde-f004-41a7-99f1-5641acd8a083",
+          "name": "negate",
+          "type": "tool",
+          "content": "-100.0",
+          "tool_call_id": "toolu_01XsJQboYghGDygQpPjJkeRq",
+          "additional_kwargs": {},
+          "response_metadata": {}
+        },
+        {
+          "id": "run-a6bcb848-6966-4bbf-919a-ded95e79dd91-0",
+          "type": "ai",
+          "content": "The answer is -100.0",
+          "example": false,
+          "tool_calls": [],
+          "usage_metadata": {
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+            "total_tokens": 1119,
+            "output_tokens": 11
+          },
+          "additional_kwargs": {},
+          "response_metadata": {
+            "id": "msg_016bFgPZvrVEcN6RDyEbVtzz",
+            "model": "claude-3-sonnet-20240229",
+            "usage": {
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+              "output_tokens": 11
+            },
+            "stop_reason": "end_turn",
+            "stop_sequence": null
+          },
+          "invalid_tool_calls": []
+        },
+        {
+          "id": "63c94d84-815d-4b56-8c3a-ecc947869822",
+          "type": "human",
+          "content": "You have the correct numerical answer but are returning additional text. Please only respond with the numerical answer.",
+          "example": false,
+          "additional_kwargs": {},
+          "response_metadata": {}
+        },
+        {
+          "id": "run-eda696da-ad0f-4454-b0fc-00bccb2cbee6-0",
+          "type": "ai",
+          "content": "-100.0",
+          "example": false,
+          "tool_calls": [],
+          "usage_metadata": {
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+            "total_tokens": 1149,
+            "output_tokens": 7
+          },
+          "additional_kwargs": {},
+          "response_metadata": {
+            "id": "msg_019zQeQSyTfNaGfYKqMtVYbP",
+            "model": "claude-3-sonnet-20240229",
+            "usage": {
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+              "output_tokens": 7
+            },
+            "stop_reason": "end_turn",
+            "stop_sequence": null
+          },
+          "invalid_tool_calls": []
+        }
+      ]
+    }
+  },
+  {
+    "id": "23b6ef25-b5fa-4399-9682-b08d05ae9688",
+    "created_at": "2024-07-09T19:21:07.142926+00:00",
+    "modified_at": "2024-07-09T19:21:07.142926+00:00",
+    "name": "#23b6 @ multiverse-math-examples-for-few-shot",
+    "dataset_id": "d64fd4c5-5642-40fe-85d1-d757467415b6",
+    "source_run_id": "2ce994c9-cc39-4d8b-a145-7f23fd03b945",
+    "metadata": {
+      "dataset_split": [
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+      ]
+    },
+    "inputs": {
+      "input": "if one gazoink is 4 badoinks, each of which is 6 foos, each of wich is 3 bars - how many bars in 3 gazoinks?",
+      "system": false
+    },
+    "outputs": {
+      "output": [
+        {
+          "id": "cbe7ed83-86e1-4e46-89de-6646f8b55cef",
+          "type": "system",
+          "content": "You are requested to solve math questions in an alternate mathematical universe. The operations have been altered to yield different results than expected. Do not guess the answer or rely on your  innate knowledge of math. Use the provided tools to answer the question. While associativity and commutativity apply, distributivity does not. Answer the question using the fewest possible tools. Only include the numeric response without any clarifications.",
+          "additional_kwargs": {},
+          "response_metadata": {}
+        },
+        {
+          "id": "04946246-09a8-4465-be95-037efd7dae55",
+          "type": "human",
+          "content": "if one gazoink is 4 badoinks, each of which is 6 foos, each of wich is 3 bars - how many bars in 3 gazoinks?",
+          "example": false,
+          "additional_kwargs": {},
+          "response_metadata": {}
+        },
+        {
+          "id": "run-d6f0954e-b21b-4ea8-ad98-0ee64cfc824e-0",
+          "type": "ai",
+          "content": [
+            {
+              "id": "toolu_016RjRHSEyDZRqKhGrb8uvjJ",
+              "name": "multiply",
+              "type": "tool_use",
+              "input": {
+                "a": 3,
+                "b": 4
+              }
+            }
+          ],
+          "example": false,
+          "tool_calls": [
+            {
+              "id": "toolu_016RjRHSEyDZRqKhGrb8uvjJ",
+              "args": {
+                "a": 3,
+                "b": 4
+              },
+              "name": "multiply"
+            }
+          ],
+          "usage_metadata": {
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+            "total_tokens": 984,
+            "output_tokens": 68
+          },
+          "additional_kwargs": {},
+          "response_metadata": {
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+            "model": "claude-3-sonnet-20240229",
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+              "output_tokens": 68
+            },
+            "stop_reason": "tool_use",
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+        },
+        {
+          "id": "3d4c72c4-f009-48ce-b739-1d3f28ee4803",
+          "name": "multiply",
+          "type": "tool",
+          "content": "13.2",
+          "tool_call_id": "toolu_016RjRHSEyDZRqKhGrb8uvjJ",
+          "additional_kwargs": {},
+          "response_metadata": {}
+        },
+        {
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+          "type": "ai",
+          "content": [
+            {
+              "id": "toolu_01PqvszxiuXrVJ9bwgTWaH3q",
+              "name": "multiply",
+              "type": "tool_use",
+              "input": {
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+          "example": false,
+          "tool_calls": [
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+                "b": 6
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+              "name": "multiply"
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+          "response_metadata": {
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+          "type": "ai",
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+          "additional_kwargs": {},
+          "response_metadata": {}
+        },
+        {
+          "id": "run-51e35afb-7ec6-4738-93e2-92f80b5c9377-0",
+          "type": "ai",
+          "content": "287.496",
+          "example": false,
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+          "response_metadata": {
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+            "model": "claude-3-sonnet-20240229",
+            "usage": {
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+              "output_tokens": 7
+            },
+            "stop_reason": "end_turn",
+            "stop_sequence": null
+          },
+          "invalid_tool_calls": []
+        }
+      ]
+    }
+  },
+  {
+    "id": "f3a5a482-910b-402a-8b49-31dbd38dba69",
+    "created_at": "2024-07-09T18:31:22.954376+00:00",
+    "modified_at": "2024-07-09T18:31:22.954376+00:00",
+    "name": "#f3a5 @ multiverse-math-examples-for-few-shot",
+    "dataset_id": "d64fd4c5-5642-40fe-85d1-d757467415b6",
+    "source_run_id": "e313510f-5155-48fb-a1af-8ec998cd7dbd",
+    "metadata": {
+      "dataset_split": [
+        "base"
+      ]
+    },
+    "inputs": {
+      "input": "What is the value of tangent of 15 degrees?",
+      "system": false
+    },
+    "outputs": {
+      "output": [
+        {
+          "id": "e3f864e9-10e4-402e-9a2a-04680152146e",
+          "type": "system",
+          "content": "You are requested to solve math questions in an alternate mathematical universe. The operations have been altered to yield different results than expected. Do not guess the answer or rely on your innate knowledge of math. Use the provided tools to answer the question. While associativity and commutativity apply, distributivity does not. Answer the question using the fewest possible tools. Your final answer should include the numeric response on its own without any clarifications. That means if the answer is 5, you should return \"5\" and not \"The answer is 5\" or \"So the answer to your question is 5\".",
+          "additional_kwargs": {},
+          "response_metadata": {}
+        },
+        {
+          "id": "88c4febe-5445-4f91-937e-caa8760cec19",
+          "type": "human",
+          "content": "What is the value of tangent of 15 degrees?",
+          "example": false,
+          "additional_kwargs": {},
+          "response_metadata": {}
+        },
+        {
+          "id": "run-9a440c86-f7f9-4219-b6bc-a35d64bbfc38-0",
+          "type": "ai",
+          "content": [
+            {
+              "text": "Here is how to calculate the tangent of 15 degrees using the provided tools:",
+              "type": "text"
+            },
+            {
+              "id": "toolu_01M9AvVXTPvFWLiKni8Sh1T4",
+              "name": "pi",
+              "type": "tool_use",
+              "input": {}
+            }
+          ],
+          "example": false,
+          "tool_calls": [
+            {
+              "id": "toolu_01M9AvVXTPvFWLiKni8Sh1T4",
+              "args": {},
+              "name": "pi"
+            }
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+          },
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+            "model": "claude-3-sonnet-20240229",
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+            },
+            "stop_reason": "tool_use",
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+        },
+        {
+          "id": "39667772-2baf-4e9e-97ae-961e3670a474",
+          "name": "pi",
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diff --git a/docs/core_docs/docs/how_to/example_selectors_langsmith.ipynb b/docs/core_docs/docs/how_to/example_selectors_langsmith.ipynb
new file mode 100644
index 000000000000..3a145a257ed0
--- /dev/null
+++ b/docs/core_docs/docs/how_to/example_selectors_langsmith.ipynb
@@ -0,0 +1,553 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "4f7e423b",
+   "metadata": {},
+   "source": [
+    "# How to select examples from a LangSmith dataset\n",
+    "\n",
+    "```{=mdx}\n",
+    "\n",
+    ":::tip Prerequisites\n",
+    "\n",
+    "- [Chat models](/docs/concepts/#chat-models)\n",
+    "- [Few-shot-prompting](/docs/concepts/#few-shot-prompting)\n",
+    "- [LangSmith](/docs/concepts/#langsmith)\n",
+    "\n",
+    ":::\n",
+    "\n",
+    "\n",
+    ":::note Compatibility\n",
+    "\n",
+    "- `langsmith` >= 0.1.43\n",
+    "\n",
+    ":::\n",
+    "\n",
+    "```\n",
+    "\n",
+    "LangSmith datasets have built-in support for similarity search, making them a great tool for building and querying few-shot examples.\n",
+    "\n",
+    "In this guide we'll see how to use an indexed LangSmith dataset as a few-shot example selector.\n",
+    "\n",
+    "## Setup\n",
+    "\n",
+    "Before getting started make sure you've [created a LangSmith account](https://smith.langchain.com/) and set your credentials:\n",
+    "\n",
+    "```typescript\n",
+    "process.env.LANGSMITH_API_KEY=\"your-api-key\"\n",
+    "process.env.LANGSMITH_TRACING=\"true\"\n",
+    "```\n",
+    "\n",
+    "We'll need to install the `langsmith` SDK. In this example we'll also make use of `langchain` and `@langchain/anthropic`:\n",
+    "\n",
+    "```{=mdx}\n",
+    "\n",
+    "import Npm2Yarn from \"@theme/Npm2Yarn\"\n",
+    "\n",
+    "<Npm2Yarn>\n",
+    "  langsmith langchain @langchain/anthropic zod zod-to-json-schema\n",
+    "</Npm2Yarn>\n",
+    "\n",
+    "```"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "fc716e12",
+   "metadata": {},
+   "source": [
+    "Now we'll clone a public dataset and turn on indexing for the dataset. We can also turn on indexing via the [LangSmith UI](https://docs.smith.langchain.com/how_to_guides/datasets/index_datasets_for_dynamic_few_shot_example_selection).\n",
+    "\n",
+    "We'll create a clone the [Multiverse math few shot example dataset](https://blog.langchain.dev/few-shot-prompting-to-improve-tool-calling-performance/).\n",
+    "\n",
+    "This enables searching over the dataset, and will make sure that anytime we update/add examples they are also indexed.\n",
+    "\n",
+    "The first step to creating a clone is to read the JSON file containing the examples and convert them to the format expected by LangSmith for creating examples:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "2bcc86a0",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import { Client as LangSmithClient } from 'langsmith';\n",
+    "import { z } from 'zod';\n",
+    "import { zodToJsonSchema } from 'zod-to-json-schema';\n",
+    "import fs from \"fs/promises\";\n",
+    "\n",
+    "// Read the example dataset and convert to the format expected by the LangSmith API\n",
+    "// for creating new examples\n",
+    "const examplesJson = JSON.parse(\n",
+    "  await fs.readFile(\"../../data/ls_few_shot_example_dataset.json\", \"utf-8\")\n",
+    ");\n",
+    "\n",
+    "let inputs: Record<string, any>[] = [];\n",
+    "let outputs: Record<string, any>[] = [];\n",
+    "let metadata: Record<string, any>[] = [];\n",
+    "\n",
+    "examplesJson.forEach((ex) => {\n",
+    "  inputs.push(ex.inputs);\n",
+    "  outputs.push(ex.outputs);\n",
+    "  metadata.push(ex.metadata);\n",
+    "});\n",
+    "\n",
+    "// Define our input schema as this is required for indexing\n",
+    "const inputsSchema = zodToJsonSchema(z.object({\n",
+    "  input: z.string(),\n",
+    "  system: z.boolean().optional(),\n",
+    "}));\n",
+    "\n",
+    "const lsClient = new LangSmithClient();\n",
+    "\n",
+    "await lsClient.deleteDataset({ datasetName: \"multiverse-math-examples-for-few-shot-example\" })\n",
+    "\n",
+    "const dataset = await lsClient.createDataset(\"multiverse-math-examples-for-few-shot-example\", {\n",
+    "  inputsSchema,\n",
+    "});\n",
+    "\n",
+    "const createdExamples = await lsClient.createExamples({\n",
+    "  inputs,\n",
+    "  outputs,\n",
+    "  metadata,\n",
+    "  datasetId: dataset.id,\n",
+    "})\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "01b5a8f3",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "await lsClient.indexDataset({ datasetId: dataset.id });"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "5767d171",
+   "metadata": {},
+   "source": [
+    "Once the dataset is indexed, we can search for similar examples like so:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "5013a56f",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3\n"
+     ]
+    }
+   ],
+   "source": [
+    "const examples = await lsClient.similarExamples(\n",
+    "  { input: \"whats the negation of the negation of the negation of 3\" },\n",
+    "  dataset.id,\n",
+    "  3,\n",
+    ")\n",
+    "console.log(examples.length)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "a142db06",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "evaluate the negation of -100\n"
+     ]
+    }
+   ],
+   "source": [
+    "console.log(examples[0].inputs.input)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d2627125",
+   "metadata": {},
+   "source": [
+    "For this dataset the outputs are an entire chat history:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "af5b9191",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[\n",
+      "  {\n",
+      "    id: 'cbe7ed83-86e1-4e46-89de-6646f8b55cef',\n",
+      "    type: 'system',\n",
+      "    content: 'You are requested to solve math questions in an alternate mathematical universe. The operations have been altered to yield different results than expected. Do not guess the answer or rely on your  innate knowledge of math. Use the provided tools to answer the question. While associativity and commutativity apply, distributivity does not. Answer the question using the fewest possible tools. Only include the numeric response without any clarifications.',\n",
+      "    additional_kwargs: {},\n",
+      "    response_metadata: {}\n",
+      "  },\n",
+      "  {\n",
+      "    id: '04946246-09a8-4465-be95-037efd7dae55',\n",
+      "    type: 'human',\n",
+      "    content: 'if one gazoink is 4 badoinks, each of which is 6 foos, each of wich is 3 bars - how many bars in 3 gazoinks?',\n",
+      "    example: false,\n",
+      "    additional_kwargs: {},\n",
+      "    response_metadata: {}\n",
+      "  },\n",
+      "  {\n",
+      "    id: 'run-d6f0954e-b21b-4ea8-ad98-0ee64cfc824e-0',\n",
+      "    type: 'ai',\n",
+      "    content: [ [Object] ],\n",
+      "    example: false,\n",
+      "    tool_calls: [ [Object] ],\n",
+      "    usage_metadata: { input_tokens: 916, total_tokens: 984, output_tokens: 68 },\n",
+      "    additional_kwargs: {},\n",
+      "    response_metadata: {\n",
+      "      id: 'msg_01MBWxgouUBzomwTvXhomGVq',\n",
+      "      model: 'claude-3-sonnet-20240229',\n",
+      "      usage: [Object],\n",
+      "      stop_reason: 'tool_use',\n",
+      "      stop_sequence: null\n",
+      "    },\n",
+      "    invalid_tool_calls: []\n",
+      "  },\n",
+      "  {\n",
+      "    id: '3d4c72c4-f009-48ce-b739-1d3f28ee4803',\n",
+      "    name: 'multiply',\n",
+      "    type: 'tool',\n",
+      "    content: '13.2',\n",
+      "    tool_call_id: 'toolu_016RjRHSEyDZRqKhGrb8uvjJ',\n",
+      "    additional_kwargs: {},\n",
+      "    response_metadata: {}\n",
+      "  },\n",
+      "  {\n",
+      "    id: 'run-26dd7e83-f5fb-4c70-8ba1-271300ffeb25-0',\n",
+      "    type: 'ai',\n",
+      "    content: [ [Object] ],\n",
+      "    example: false,\n",
+      "    tool_calls: [ [Object] ],\n",
+      "    usage_metadata: { input_tokens: 999, total_tokens: 1070, output_tokens: 71 },\n",
+      "    additional_kwargs: {},\n",
+      "    response_metadata: {\n",
+      "      id: 'msg_01VTFvtCxtR3rN58hCmjt2oH',\n",
+      "      model: 'claude-3-sonnet-20240229',\n",
+      "      usage: [Object],\n",
+      "      stop_reason: 'tool_use',\n",
+      "      stop_sequence: null\n",
+      "    },\n",
+      "    invalid_tool_calls: []\n",
+      "  },\n",
+      "  {\n",
+      "    id: 'ca4e0317-7b3a-4638-933c-1efd98bc4fda',\n",
+      "    name: 'multiply',\n",
+      "    type: 'tool',\n",
+      "    content: '87.12',\n",
+      "    tool_call_id: 'toolu_01PqvszxiuXrVJ9bwgTWaH3q',\n",
+      "    additional_kwargs: {},\n",
+      "    response_metadata: {}\n",
+      "  },\n",
+      "  {\n",
+      "    id: 'run-007794ac-3590-4b9e-b678-008f02e40042-0',\n",
+      "    type: 'ai',\n",
+      "    content: [ [Object] ],\n",
+      "    example: false,\n",
+      "    tool_calls: [ [Object] ],\n",
+      "    usage_metadata: { input_tokens: 1084, total_tokens: 1155, output_tokens: 71 },\n",
+      "    additional_kwargs: {},\n",
+      "    response_metadata: {\n",
+      "      id: 'msg_017BEkSqmTsmtJaTxAzfRMEh',\n",
+      "      model: 'claude-3-sonnet-20240229',\n",
+      "      usage: [Object],\n",
+      "      stop_reason: 'tool_use',\n",
+      "      stop_sequence: null\n",
+      "    },\n",
+      "    invalid_tool_calls: []\n",
+      "  },\n",
+      "  {\n",
+      "    id: '7f58c121-6f21-4c7b-ba38-aa820e274ff8',\n",
+      "    name: 'multiply',\n",
+      "    type: 'tool',\n",
+      "    content: '287.496',\n",
+      "    tool_call_id: 'toolu_01LU3RqRUXZRLRoJ2AZNmPed',\n",
+      "    additional_kwargs: {},\n",
+      "    response_metadata: {}\n",
+      "  },\n",
+      "  {\n",
+      "    id: 'run-51e35afb-7ec6-4738-93e2-92f80b5c9377-0',\n",
+      "    type: 'ai',\n",
+      "    content: '287.496',\n",
+      "    example: false,\n",
+      "    tool_calls: [],\n",
+      "    usage_metadata: { input_tokens: 1169, total_tokens: 1176, output_tokens: 7 },\n",
+      "    additional_kwargs: {},\n",
+      "    response_metadata: {\n",
+      "      id: 'msg_01Tx9kSNapSg8aUbWZXiS1NL',\n",
+      "      model: 'claude-3-sonnet-20240229',\n",
+      "      usage: [Object],\n",
+      "      stop_reason: 'end_turn',\n",
+      "      stop_sequence: null\n",
+      "    },\n",
+      "    invalid_tool_calls: []\n",
+      "  }\n",
+      "]\n"
+     ]
+    }
+   ],
+   "source": [
+    "console.log(examples[1].outputs.output)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e852c8ef",
+   "metadata": {},
+   "source": [
+    "The search returns the examples whose inputs are most similar to the query input. We can use this for few-shot prompting a model. The first step is to create a series of math tools we want to allow the model to call:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "53e03aa1",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import { tool } from '@langchain/core/tools';\n",
+    "import { z } from 'zod';\n",
+    "\n",
+    "const add = tool((input) => {\n",
+    "  return (input.a + input.b).toString();\n",
+    "}, {\n",
+    "  name: \"add\",\n",
+    "  description: \"Add two numbers\",\n",
+    "  schema: z.object({\n",
+    "    a: z.number().describe(\"The first number to add\"),\n",
+    "    b: z.number().describe(\"The second number to add\"),\n",
+    "  }),\n",
+    "});\n",
+    "\n",
+    "const cos = tool((input) => {\n",
+    "  return Math.cos(input.angle).toString();\n",
+    "}, {\n",
+    "  name: \"cos\",\n",
+    "  description: \"Calculate the cosine of an angle (in radians)\",\n",
+    "  schema: z.object({\n",
+    "    angle: z.number().describe(\"The angle in radians\"),\n",
+    "  }),\n",
+    "});\n",
+    "\n",
+    "const divide = tool((input) => {\n",
+    "  return (input.a / input.b).toString();\n",
+    "}, {\n",
+    "  name: \"divide\",\n",
+    "  description: \"Divide two numbers\",\n",
+    "  schema: z.object({\n",
+    "    a: z.number().describe(\"The dividend\"),\n",
+    "    b: z.number().describe(\"The divisor\"),\n",
+    "  }),\n",
+    "});\n",
+    "\n",
+    "const log = tool((input) => {\n",
+    "  return Math.log(input.value).toString();\n",
+    "}, {\n",
+    "  name: \"log\",\n",
+    "  description: \"Calculate the natural logarithm of a number\",\n",
+    "  schema: z.object({\n",
+    "    value: z.number().describe(\"The number to calculate the logarithm of\"),\n",
+    "  }),\n",
+    "});\n",
+    "\n",
+    "const multiply = tool((input) => {\n",
+    "  return (input.a * input.b).toString();\n",
+    "}, {\n",
+    "  name: \"multiply\",\n",
+    "  description: \"Multiply two numbers\",\n",
+    "  schema: z.object({\n",
+    "    a: z.number().describe(\"The first number to multiply\"),\n",
+    "    b: z.number().describe(\"The second number to multiply\"),\n",
+    "  }),\n",
+    "});\n",
+    "\n",
+    "const negate = tool((input) => {\n",
+    "  return (-input.a).toString();\n",
+    "}, {\n",
+    "  name: \"negate\",\n",
+    "  description: \"Negate a number\",\n",
+    "  schema: z.object({\n",
+    "    a: z.number().describe(\"The number to negate\"),\n",
+    "  }),\n",
+    "});\n",
+    "\n",
+    "const pi = tool(() => {\n",
+    "  return Math.PI.toString();\n",
+    "}, {\n",
+    "  name: \"pi\",\n",
+    "  description: \"Return the value of pi\",\n",
+    "  schema: z.object({}),\n",
+    "});\n",
+    "\n",
+    "const power = tool((input) => {\n",
+    "  return Math.pow(input.base, input.exponent).toString();\n",
+    "}, {\n",
+    "  name: \"power\",\n",
+    "  description: \"Raise a number to a power\",\n",
+    "  schema: z.object({\n",
+    "    base: z.number().describe(\"The base number\"),\n",
+    "    exponent: z.number().describe(\"The exponent\"),\n",
+    "  }),\n",
+    "});\n",
+    "\n",
+    "const sin = tool((input) => {\n",
+    "  return Math.sin(input.angle).toString();\n",
+    "}, {\n",
+    "  name: \"sin\",\n",
+    "  description: \"Calculate the sine of an angle (in radians)\",\n",
+    "  schema: z.object({\n",
+    "    angle: z.number().describe(\"The angle in radians\"),\n",
+    "  }),\n",
+    "});\n",
+    "\n",
+    "const subtract = tool((input) => {\n",
+    "  return (input.a - input.b).toString();\n",
+    "}, {\n",
+    "  name: \"subtract\",\n",
+    "  description: \"Subtract two numbers\",\n",
+    "  schema: z.object({\n",
+    "    a: z.number().describe(\"The number to subtract from\"),\n",
+    "    b: z.number().describe(\"The number to subtract\"),\n",
+    "  }),\n",
+    "});"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "id": "12cba1e1",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import { ChatOpenAI } from \"@langchain/openai\";\n",
+    "import { HumanMessage, SystemMessage, BaseMessage, BaseMessageLike } from \"@langchain/core/messages\";\n",
+    "import { RunnableLambda } from \"@langchain/core/runnables\";\n",
+    "import { Client as LangSmithClient, Example } from \"langsmith\";\n",
+    "import { coerceMessageLikeToMessage } from \"@langchain/core/messages\";\n",
+    "\n",
+    "const client = new LangSmithClient();\n",
+    "\n",
+    "async function similarExamples(input: Record<string, any>): Promise<Record<string, any>> {\n",
+    "  const examples = await client.similarExamples(input, dataset.id, 5);\n",
+    "  return { ...input, examples };\n",
+    "}\n",
+    "\n",
+    "function constructPrompt(input: { examples: Example[], input: string }): BaseMessage[] {\n",
+    "  const instructions = \"You are great at using mathematical tools.\";\n",
+    "  let messages: BaseMessage[] = []\n",
+    "  \n",
+    "  for (const ex of input.examples) {\n",
+    "    // Assuming ex.outputs.output is an array of message-like objects\n",
+    "    messages = messages.concat(ex.outputs.output.flatMap((msg: BaseMessageLike) => coerceMessageLikeToMessage(msg)));\n",
+    "  }\n",
+    "  \n",
+    "  const examples = messages.filter(msg => msg._getType() !== 'system');\n",
+    "  examples.forEach((ex) => {\n",
+    "    if (ex._getType() === 'human') {\n",
+    "      ex.name = \"example_user\";\n",
+    "    } else {\n",
+    "      ex.name = \"example_assistant\";\n",
+    "    }\n",
+    "  });\n",
+    "\n",
+    "  return [new SystemMessage(instructions), ...examples, new HumanMessage(input.input)];\n",
+    "}\n",
+    "\n",
+    "const llm = new ChatOpenAI({\n",
+    "  model: \"gpt-4o\",\n",
+    "  temperature: 0,\n",
+    "});\n",
+    "const tools = [add, cos, divide, log, multiply, negate, pi, power, sin, subtract];\n",
+    "const llmWithTools = llm.bindTools(tools);\n",
+    "\n",
+    "const exampleSelector = new RunnableLambda(\n",
+    "  { func: similarExamples }\n",
+    ").withConfig({ runName: \"similarExamples\" });\n",
+    "\n",
+    "const chain = exampleSelector.pipe(\n",
+    "  new RunnableLambda({\n",
+    "    func: constructPrompt\n",
+    "  }).withConfig({\n",
+    "    runName: \"constructPrompt\"\n",
+    "  })\n",
+    ").pipe(llmWithTools);"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "id": "c423b367",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[\n",
+      "  {\n",
+      "    name: 'negate',\n",
+      "    args: { a: 3 },\n",
+      "    type: 'tool_call',\n",
+      "    id: 'call_SX0dmb4AbFu39KkGQDqPXQwa'\n",
+      "  }\n",
+      "]\n"
+     ]
+    }
+   ],
+   "source": [
+    "const aiMsg = await chain.invoke({ input: \"whats the negation of the negation of 3\", system: false })\n",
+    "console.log(aiMsg.tool_calls)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "94489b4a",
+   "metadata": {},
+   "source": [
+    "Looking at the LangSmith trace, we can see that relevant examples were pulled in in the `similarExamples` step and passed as messages to ChatOpenAI: https://smith.langchain.com/public/20e09618-0746-4973-9382-5b36c3f27083/r."
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "TypeScript",
+   "language": "typescript",
+   "name": "tslab"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "mode": "typescript",
+    "name": "javascript",
+    "typescript": true
+   },
+   "file_extension": ".ts",
+   "mimetype": "text/typescript",
+   "name": "typescript",
+   "version": "3.7.2"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/examples/package.json b/examples/package.json
index 1887b730af06..579c3be83a72 100644
--- a/examples/package.json
+++ b/examples/package.json
@@ -91,7 +91,7 @@
     "ioredis": "^5.3.2",
     "js-yaml": "^4.1.0",
     "langchain": "workspace:*",
-    "langsmith": "^0.1.30",
+    "langsmith": "^0.1.43",
     "mongodb": "^6.3.0",
     "pg": "^8.11.0",
     "pickleparser": "^0.2.1",
diff --git a/langchain-core/package.json b/langchain-core/package.json
index aa75a4dadb24..ed901e978c36 100644
--- a/langchain-core/package.json
+++ b/langchain-core/package.json
@@ -45,7 +45,7 @@
     "camelcase": "6",
     "decamelize": "1.2.0",
     "js-tiktoken": "^1.0.12",
-    "langsmith": "~0.1.39",
+    "langsmith": "^0.1.43",
     "mustache": "^4.2.0",
     "p-queue": "^6.6.2",
     "p-retry": "4",
diff --git a/langchain-core/src/messages/utils.ts b/langchain-core/src/messages/utils.ts
index 779b9d16eaaf..4a34e03984ee 100644
--- a/langchain-core/src/messages/utils.ts
+++ b/langchain-core/src/messages/utils.ts
@@ -31,6 +31,13 @@ function _constructMessageFromParams(
     return new AIMessage(rest);
   } else if (type === "system") {
     return new SystemMessage(rest);
+  } else if (type === "tool" && "tool_call_id" in rest) {
+    return new ToolMessage({
+      ...rest,
+      content: rest.content,
+      tool_call_id: rest.tool_call_id as string,
+      name: rest.name,
+    });
   } else {
     throw new Error(
       `Unable to coerce message from array: only human, AI, or system message coercion is currently supported.`
diff --git a/yarn.lock b/yarn.lock
index 1c74f9d25aab..dd138da859d4 100644
--- a/yarn.lock
+++ b/yarn.lock
@@ -11711,7 +11711,7 @@ __metadata:
     jest: ^29.5.0
     jest-environment-node: ^29.6.4
     js-tiktoken: ^1.0.12
-    langsmith: ~0.1.39
+    langsmith: ^0.1.43
     ml-matrix: ^6.10.4
     mustache: ^4.2.0
     p-queue: ^6.6.2
@@ -26760,7 +26760,7 @@ __metadata:
     ioredis: ^5.3.2
     js-yaml: ^4.1.0
     langchain: "workspace:*"
-    langsmith: ^0.1.30
+    langsmith: ^0.1.43
     mongodb: ^6.3.0
     pg: ^8.11.0
     pickleparser: ^0.2.1
@@ -32362,7 +32362,32 @@ __metadata:
   languageName: unknown
   linkType: soft
 
-"langsmith@npm:^0.1.30, langsmith@npm:~0.1.30, langsmith@npm:~0.1.39":
+"langsmith@npm:^0.1.43":
+  version: 0.1.43
+  resolution: "langsmith@npm:0.1.43"
+  dependencies:
+    "@types/uuid": ^9.0.1
+    commander: ^10.0.1
+    p-queue: ^6.6.2
+    p-retry: 4
+    semver: ^7.6.3
+    uuid: ^9.0.0
+  peerDependencies:
+    "@langchain/core": "*"
+    langchain: "*"
+    openai: "*"
+  peerDependenciesMeta:
+    "@langchain/core":
+      optional: true
+    langchain:
+      optional: true
+    openai:
+      optional: true
+  checksum: 83ded542eb9a4f3c7f75671ba9a85b9bb0558251cbc5ad506098068b7c5abcb6062101857cd5e2b324d5eb1e3f4984aff0d08b7b913c3ad6e41d4cbc65492a13
+  languageName: node
+  linkType: hard
+
+"langsmith@npm:~0.1.30":
   version: 0.1.39
   resolution: "langsmith@npm:0.1.39"
   dependencies:

From 42ad1f495a3642a2be5631999b61dc221a682563 Mon Sep 17 00:00:00 2001
From: Brace Sproul <braceasproul@gmail.com>
Date: Wed, 21 Aug 2024 11:30:04 -0700
Subject: [PATCH 065/344] core[minor]: Add LangSmith doc loader (#6568)

* core[minor]: Add LangSmith doc loader

* tests and nits

* add test and docs

* rename
---
 .../web_loaders/langsmith.ipynb               | 302 ++++++++++++++++++
 langchain-core/.gitignore                     |   4 +
 langchain-core/langchain.config.js            |   1 +
 langchain-core/package.json                   |  13 +
 .../src/document_loaders/langsmith.ts         | 182 +++++++++++
 .../tests/langsmith.int.test.ts               |  67 ++++
 6 files changed, 569 insertions(+)
 create mode 100644 docs/core_docs/docs/integrations/document_loaders/web_loaders/langsmith.ipynb
 create mode 100644 langchain-core/src/document_loaders/langsmith.ts
 create mode 100644 langchain-core/src/document_loaders/tests/langsmith.int.test.ts

diff --git a/docs/core_docs/docs/integrations/document_loaders/web_loaders/langsmith.ipynb b/docs/core_docs/docs/integrations/document_loaders/web_loaders/langsmith.ipynb
new file mode 100644
index 000000000000..b7e536113685
--- /dev/null
+++ b/docs/core_docs/docs/integrations/document_loaders/web_loaders/langsmith.ipynb
@@ -0,0 +1,302 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "---\n",
+    "sidebar_label: FireCrawl\n",
+    "\n",
+    "---"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# LangSmithLoader\n",
+    "\n",
+    "This notebook provides a quick overview for getting started with the [LangSmithLoader](/docs/integrations/document_loaders/). For detailed documentation of all `LangSmithLoader` features and configurations head to the [API reference](https://api.js.langchain.com/classes/_langchain_core.document_loaders_langsmith.LangSmithLoader.html).\n",
+    "\n",
+    "## Overview\n",
+    "### Integration details\n",
+    "\n",
+    "| Class | Package | Local | Serializable | [PY support](https://python.langchain.com/docs/integrations/document_loaders/langsmith)|\n",
+    "| :--- | :--- | :---: | :---: |  :---: |\n",
+    "| [LangSmithLoader](https://api.js.langchain.com/classes/_langchain_core.document_loaders_langsmith.LangSmithLoader.html) | [@langchain/community](https://api.js.langchain.com/classes/_langchain_core.html) | ✅ | beta | ✅ | \n",
+    "### Loader features\n",
+    "| Source | Web Loader | Node Envs Only\n",
+    "| :---: | :---: | :---: | \n",
+    "| LangSmithLoader | ✅ | ❌ | \n",
+    "\n",
+    "[FireCrawl](https://firecrawl.dev) crawls and convert any website into LLM-ready data. It crawls all accessible sub-pages and give you clean markdown and metadata for each. No sitemap required.\n",
+    "\n",
+    "FireCrawl handles complex tasks such as reverse proxies, caching, rate limits, and content blocked by JavaScript. Built by the [mendable.ai](https://mendable.ai) team.\n",
+    "\n",
+    "This guide shows how to scrap and crawl entire websites and load them using the `LangSmithLoader` in LangChain.\n",
+    "\n",
+    "## Setup\n",
+    "\n",
+    "To access the LangSmith document loader you'll need to install `@langchain/core`, create a [LangSmith](https://langsmith.com/) account and get an API key.\n",
+    "\n",
+    "### Credentials\n",
+    "\n",
+    "Sign up at https://langsmith.com and generate an API key. Once you've done this set the `LANGSMITH_API_KEY` environment variable:\n",
+    "\n",
+    "```bash\n",
+    "export LANGSMITH_API_KEY=\"your-api-key\"\n",
+    "```\n",
+    "\n",
+    "### Installation\n",
+    "\n",
+    "The `LangSmithLoader` integration lives in the `@langchain/core` package:\n",
+    "\n",
+    "```{=mdx}\n",
+    "import IntegrationInstallTooltip from \"@mdx_components/integration_install_tooltip.mdx\";\n",
+    "import Npm2Yarn from \"@theme/Npm2Yarn\";\n",
+    "\n",
+    "<IntegrationInstallTooltip></IntegrationInstallTooltip>\n",
+    "\n",
+    "<Npm2Yarn>\n",
+    "  @langchain/core\n",
+    "</Npm2Yarn>\n",
+    "\n",
+    "```"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Create example dataset\n",
+    "\n",
+    "For this example, we'll create a new dataset which we'll use in our document loader."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import { Client as LangSmithClient } from 'langsmith';\n",
+    "import { faker } from \"@faker-js/faker\";\n",
+    "\n",
+    "const lsClient = new LangSmithClient();\n",
+    "\n",
+    "const datasetName = \"LangSmith Few Shot Datasets Notebook\";\n",
+    "\n",
+    "const exampleInputs = Array.from({ length: 10 }, (_, i) => ({\n",
+    "  input: faker.lorem.paragraph(),\n",
+    "}));\n",
+    "const exampleOutputs = Array.from({ length: 10 }, (_, i) => ({\n",
+    "  output: faker.lorem.sentence(),\n",
+    "}));\n",
+    "const exampleMetadata = Array.from({ length: 10 }, (_, i) => ({\n",
+    "  companyCatchPhrase: faker.company.catchPhrase(),\n",
+    "}));\n",
+    "\n",
+    "await lsClient.deleteDataset({\n",
+    "  datasetName,\n",
+    "})\n",
+    "\n",
+    "const dataset = await lsClient.createDataset(datasetName);\n",
+    "\n",
+    "const examples = await lsClient.createExamples({\n",
+    "  inputs: exampleInputs,\n",
+    "  outputs: exampleOutputs,\n",
+    "  metadata: exampleMetadata,\n",
+    "  datasetId: dataset.id,\n",
+    "});"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import { LangSmithLoader } from \"@langchain/core/document_loaders/langsmith\"\n",
+    "\n",
+    "const loader = new LangSmithLoader({\n",
+    "  datasetName: \"LangSmith Few Shot Datasets Notebook\",\n",
+    "  // Instead of a datasetName, you can alternatively provide a datasetId\n",
+    "  // datasetId: dataset.id,\n",
+    "  contentKey: \"input\",\n",
+    "  limit: 5,\n",
+    "  // formatContent: (content) => content,\n",
+    "  // ... other options\n",
+    "})"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Load"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{\n",
+      "  pageContent: 'Conventus supellex aegrotatio termes. Vapulus abscido ubi vita coadunatio modi crapula comparo caecus. Acervus voluptate tergeo pariatur conor argumentum inventore vomito stella.',\n",
+      "  metadata: {\n",
+      "    id: 'f1a04800-6f7a-4232-9743-fb5d9029bf1f',\n",
+      "    created_at: '2024-08-20T17:01:38.984045+00:00',\n",
+      "    modified_at: '2024-08-20T17:01:38.984045+00:00',\n",
+      "    name: '#f1a0 @ LangSmith Few Shot Datasets Notebook',\n",
+      "    dataset_id: '9ccd66e6-e506-478c-9095-3d9e27575a89',\n",
+      "    source_run_id: null,\n",
+      "    metadata: {\n",
+      "      dataset_split: [Array],\n",
+      "      companyCatchPhrase: 'Integrated solution-oriented secured line'\n",
+      "    },\n",
+      "    inputs: {\n",
+      "      input: 'Conventus supellex aegrotatio termes. Vapulus abscido ubi vita coadunatio modi crapula comparo caecus. Acervus voluptate tergeo pariatur conor argumentum inventore vomito stella.'\n",
+      "    },\n",
+      "    outputs: {\n",
+      "      output: 'Excepturi adeptio spectaculum bis volaticus accusamus.'\n",
+      "    }\n",
+      "  }\n",
+      "}\n"
+     ]
+    }
+   ],
+   "source": [
+    "const docs = await loader.load()\n",
+    "docs[0]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{\n",
+      "  id: 'f1a04800-6f7a-4232-9743-fb5d9029bf1f',\n",
+      "  created_at: '2024-08-20T17:01:38.984045+00:00',\n",
+      "  modified_at: '2024-08-20T17:01:38.984045+00:00',\n",
+      "  name: '#f1a0 @ LangSmith Few Shot Datasets Notebook',\n",
+      "  dataset_id: '9ccd66e6-e506-478c-9095-3d9e27575a89',\n",
+      "  source_run_id: null,\n",
+      "  metadata: {\n",
+      "    dataset_split: [ 'base' ],\n",
+      "    companyCatchPhrase: 'Integrated solution-oriented secured line'\n",
+      "  },\n",
+      "  inputs: {\n",
+      "    input: 'Conventus supellex aegrotatio termes. Vapulus abscido ubi vita coadunatio modi crapula comparo caecus. Acervus voluptate tergeo pariatur conor argumentum inventore vomito stella.'\n",
+      "  },\n",
+      "  outputs: { output: 'Excepturi adeptio spectaculum bis volaticus accusamus.' }\n",
+      "}\n"
+     ]
+    }
+   ],
+   "source": [
+    "console.log(docs[0].metadata)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{\n",
+      "  input: 'Conventus supellex aegrotatio termes. Vapulus abscido ubi vita coadunatio modi crapula comparo caecus. Acervus voluptate tergeo pariatur conor argumentum inventore vomito stella.'\n",
+      "}\n"
+     ]
+    }
+   ],
+   "source": [
+    "console.log(docs[0].metadata.inputs)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{ output: 'Excepturi adeptio spectaculum bis volaticus accusamus.' }\n"
+     ]
+    }
+   ],
+   "source": [
+    "console.log(docs[0].metadata.outputs)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[\n",
+      "  'id',\n",
+      "  'created_at',\n",
+      "  'modified_at',\n",
+      "  'name',\n",
+      "  'dataset_id',\n",
+      "  'source_run_id',\n",
+      "  'metadata',\n",
+      "  'inputs',\n",
+      "  'outputs'\n",
+      "]\n"
+     ]
+    }
+   ],
+   "source": [
+    "console.log(Object.keys(docs[0].metadata))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## API reference\n",
+    "\n",
+    "For detailed documentation of all `LangSmithLoader` features and configurations head to the [API reference](https://api.js.langchain.com/classes/_langchain_core.document_loaders_langsmith.LangSmithLoader.html)"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "TypeScript",
+   "language": "typescript",
+   "name": "tslab"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "mode": "typescript",
+    "name": "javascript",
+    "typescript": true
+   },
+   "file_extension": ".ts",
+   "mimetype": "text/typescript",
+   "name": "typescript",
+   "version": "3.7.2"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/langchain-core/.gitignore b/langchain-core/.gitignore
index 4791f5d14dab..efc6a4dc88ba 100644
--- a/langchain-core/.gitignore
+++ b/langchain-core/.gitignore
@@ -38,6 +38,10 @@ document_loaders/base.cjs
 document_loaders/base.js
 document_loaders/base.d.ts
 document_loaders/base.d.cts
+document_loaders/langsmith.cjs
+document_loaders/langsmith.js
+document_loaders/langsmith.d.ts
+document_loaders/langsmith.d.cts
 embeddings.cjs
 embeddings.js
 embeddings.d.ts
diff --git a/langchain-core/langchain.config.js b/langchain-core/langchain.config.js
index 620f4d3139db..b7fd982357ee 100644
--- a/langchain-core/langchain.config.js
+++ b/langchain-core/langchain.config.js
@@ -22,6 +22,7 @@ export const config = {
     chat_history: "chat_history",
     documents: "documents/index",
     "document_loaders/base": "document_loaders/base",
+    "document_loaders/langsmith": "document_loaders/langsmith",
     embeddings: "embeddings",
     example_selectors: "example_selectors/index",
     indexing: "indexing/index",
diff --git a/langchain-core/package.json b/langchain-core/package.json
index ed901e978c36..2768e05daa01 100644
--- a/langchain-core/package.json
+++ b/langchain-core/package.json
@@ -186,6 +186,15 @@
       "import": "./document_loaders/base.js",
       "require": "./document_loaders/base.cjs"
     },
+    "./document_loaders/langsmith": {
+      "types": {
+        "import": "./document_loaders/langsmith.d.ts",
+        "require": "./document_loaders/langsmith.d.cts",
+        "default": "./document_loaders/langsmith.d.ts"
+      },
+      "import": "./document_loaders/langsmith.js",
+      "require": "./document_loaders/langsmith.cjs"
+    },
     "./embeddings": {
       "types": {
         "import": "./embeddings.d.ts",
@@ -653,6 +662,10 @@
     "document_loaders/base.js",
     "document_loaders/base.d.ts",
     "document_loaders/base.d.cts",
+    "document_loaders/langsmith.cjs",
+    "document_loaders/langsmith.js",
+    "document_loaders/langsmith.d.ts",
+    "document_loaders/langsmith.d.cts",
     "embeddings.cjs",
     "embeddings.js",
     "embeddings.d.ts",
diff --git a/langchain-core/src/document_loaders/langsmith.ts b/langchain-core/src/document_loaders/langsmith.ts
new file mode 100644
index 000000000000..d41d0a2740f3
--- /dev/null
+++ b/langchain-core/src/document_loaders/langsmith.ts
@@ -0,0 +1,182 @@
+import { KVMap } from "langsmith/schemas";
+import { Client } from "langsmith";
+import { Document, DocumentInterface } from "../documents/document.js";
+import { AsyncCallerParams } from "../utils/async_caller.js";
+import { BaseDocumentLoader } from "./base.js";
+
+// TODO: Replace with import from `langsmith` once exposed.
+interface ClientConfig {
+  apiUrl?: string;
+  apiKey?: string;
+  callerOptions?: AsyncCallerParams;
+  timeout_ms?: number;
+  webUrl?: string;
+  anonymizer?: (values: KVMap) => KVMap;
+  hideInputs?: boolean | ((inputs: KVMap) => KVMap);
+  hideOutputs?: boolean | ((outputs: KVMap) => KVMap);
+  autoBatchTracing?: boolean;
+  pendingAutoBatchedRunLimit?: number;
+  fetchOptions?: RequestInit;
+}
+
+export interface LangSmithLoaderFields {
+  datasetId?: string;
+  datasetName?: string;
+  exampleIds?: Array<string>;
+  asOf?: Date | string;
+  splits?: string[];
+  inlineS3Urls?: boolean;
+  offset?: number;
+  limit?: number;
+  metadata?: KVMap;
+  filter?: string;
+  contentKey?: string;
+  // eslint-disable-next-line @typescript-eslint/no-explicit-any
+  formatContent?: (content: any) => string;
+  client?: Client;
+  clientConfig?: ClientConfig;
+}
+
+/**
+ * Document loader integration with LangSmith.
+ *
+ * ## [Constructor args](https://api.js.langchain.com/interfaces/_langchain_core.document_loaders_langsmith.LangSmithLoaderFields.html)
+ *
+ * <details open>
+ * <summary><strong>Load</strong></summary>
+ *
+ * ```typescript
+ * import { LangSmithLoader } from '@langchain/core/document_loaders/langsmith';
+ * import { Client } from 'langsmith';
+ *
+ * const langSmithClient = new Client({
+ *   apiKey: process.env.LANGSMITH_API_KEY,
+ * })
+ *
+ * const loader = new LangSmithLoader({
+ *   datasetId: "9a3b36f7-b308-40a5-9b46-6613853b6330",
+ *   limit: 1,
+ * });
+ *
+ * const docs = await loader.load();
+ * ```
+ *
+ * ```txt
+ * [
+ *   {
+ *     pageContent: '{\n  "input_key_str": "string",\n  "input_key_bool": true\n}',
+ *     metadata: {
+ *       id: '8523d9e9-c123-4b23-9b46-21021nds289e',
+ *       created_at: '2024-08-19T17:09:14.806441+00:00',
+ *       modified_at: '2024-08-19T17:09:14.806441+00:00',
+ *       name: '#8517 @ brace-test-dataset',
+ *       dataset_id: '9a3b36f7-b308-40a5-9b46-6613853b6330',
+ *       source_run_id: null,
+ *       metadata: [Object],
+ *       inputs: [Object],
+ *       outputs: [Object]
+ *     }
+ *   }
+ * ]
+ * ```
+ * </details>
+ */
+export class LangSmithLoader extends BaseDocumentLoader {
+  datasetId?: string;
+
+  datasetName?: string;
+
+  exampleIds?: Array<string>;
+
+  asOf?: Date | string;
+
+  splits?: string[];
+
+  inlineS3Urls?: boolean;
+
+  offset?: number;
+
+  limit?: number;
+
+  metadata?: KVMap;
+
+  filter?: string;
+
+  contentKey: string[];
+
+  // eslint-disable-next-line @typescript-eslint/no-explicit-any
+  formatContent: (content: any) => string;
+
+  client: Client;
+
+  constructor(fields: LangSmithLoaderFields) {
+    super();
+
+    if (fields.client && fields.clientConfig) {
+      throw new Error("client and clientConfig cannot both be provided.");
+    }
+    this.client = fields.client ?? new Client(fields?.clientConfig);
+    this.contentKey = fields.contentKey ? fields.contentKey.split(".") : [];
+    this.formatContent = fields.formatContent ?? _stringify;
+    this.datasetId = fields.datasetId;
+    this.datasetName = fields.datasetName;
+    this.exampleIds = fields.exampleIds;
+    this.asOf = fields.asOf;
+    this.splits = fields.splits;
+    this.inlineS3Urls = fields.inlineS3Urls;
+    this.offset = fields.offset;
+    this.limit = fields.limit;
+    this.metadata = fields.metadata;
+    this.filter = fields.filter;
+  }
+
+  async load(): Promise<Document[]> {
+    const documents: DocumentInterface[] = [];
+    for await (const example of this.client.listExamples({
+      datasetId: this.datasetId,
+      datasetName: this.datasetName,
+      exampleIds: this.exampleIds,
+      asOf: this.asOf,
+      splits: this.splits,
+      inlineS3Urls: this.inlineS3Urls,
+      offset: this.offset,
+      limit: this.limit,
+      metadata: this.metadata,
+      filter: this.filter,
+    })) {
+      let content = example.inputs;
+      for (const key of this.contentKey) {
+        content = content[key];
+      }
+      const contentStr = this.formatContent(content);
+
+      const metadata: KVMap = example;
+      ["created_at", "modified_at"].forEach((k) => {
+        if (k in metadata) {
+          if (typeof metadata[k] === "object") {
+            // Dates are of type `object`, we want to convert them to strings.
+            metadata[k] = metadata[k].toString();
+          }
+        }
+      });
+
+      documents.push({
+        pageContent: contentStr,
+        metadata,
+      });
+    }
+    return documents;
+  }
+}
+
+function _stringify(x: string | KVMap): string {
+  if (typeof x === "string") {
+    return x;
+  } else {
+    try {
+      return JSON.stringify(x, null, 2);
+    } catch (error) {
+      return String(x);
+    }
+  }
+}
diff --git a/langchain-core/src/document_loaders/tests/langsmith.int.test.ts b/langchain-core/src/document_loaders/tests/langsmith.int.test.ts
new file mode 100644
index 000000000000..a546bbf56847
--- /dev/null
+++ b/langchain-core/src/document_loaders/tests/langsmith.int.test.ts
@@ -0,0 +1,67 @@
+/* eslint-disable no-process-env */
+import { test, expect } from "@jest/globals";
+import { Client } from "langsmith";
+import { LangSmithLoader } from "../langsmith.js";
+
+const DATASET_NAME = "brace-test-dataset";
+const DATASET_ID = "9a3b36f7-a297-40a5-944d-6613853b6330";
+
+test("LangSmithLoader can load with client passed in", async () => {
+  const lsClient = new Client();
+  const loader = new LangSmithLoader({
+    datasetId: DATASET_ID,
+    client: lsClient,
+  });
+  const docs = await loader.load();
+
+  expect(docs.length).toBeGreaterThanOrEqual(1);
+  console.log(docs[0]);
+  const parsedContent = JSON.parse(docs[0].pageContent);
+  expect(parsedContent).toHaveProperty("input_key_str");
+  expect(parsedContent.input_key_str).toBe("string");
+  expect(parsedContent).toHaveProperty("input_key_bool");
+  expect(parsedContent.input_key_bool).toBe(true);
+
+  expect(docs[0].metadata).toHaveProperty("created_at");
+  expect(typeof docs[0].metadata.created_at).toBe("string");
+  expect(docs[0].metadata).toHaveProperty("modified_at");
+  expect(typeof docs[0].metadata.modified_at).toBe("string");
+});
+
+test("LangSmithLoader can load with client options passed in", async () => {
+  const lsApiKey = process.env.LANGCHAIN_API_KEY;
+  // unassign the API key to confirm the client isn't overriding what we passed in.
+  process.env.LANGCHAIN_API_KEY = "";
+
+  try {
+    const lsConfigArgs = {
+      apiKey: lsApiKey,
+    };
+    const loader = new LangSmithLoader({
+      datasetId: DATASET_ID,
+      clientConfig: lsConfigArgs,
+    });
+    const docs = await loader.load();
+
+    expect(docs.length).toBeGreaterThanOrEqual(1);
+  } finally {
+    process.env.LANGCHAIN_API_KEY = lsApiKey;
+  }
+});
+
+test("LangSmithLoader can load with dataset name", async () => {
+  const loader = new LangSmithLoader({ datasetName: DATASET_NAME });
+  const docs = await loader.load();
+
+  expect(docs.length).toBeGreaterThanOrEqual(1);
+});
+
+test("Passing content key correctly loads that value", async () => {
+  const loader = new LangSmithLoader({
+    datasetName: DATASET_NAME,
+    contentKey: "input_key_str",
+  });
+  const docs = await loader.load();
+
+  expect(docs[0].pageContent).toBe("string");
+});

From b013316607975e25eba65c4c28388fa5060ffbed Mon Sep 17 00:00:00 2001
From: Brace Sproul <braceasproul@gmail.com>
Date: Wed, 21 Aug 2024 11:37:05 -0700
Subject: [PATCH 066/344] core[patch]: Release 0.2.28 (#6587)

---
 langchain-core/package.json | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/langchain-core/package.json b/langchain-core/package.json
index 2768e05daa01..79028720f777 100644
--- a/langchain-core/package.json
+++ b/langchain-core/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/core",
-  "version": "0.2.27",
+  "version": "0.2.28",
   "description": "Core LangChain.js abstractions and schemas",
   "type": "module",
   "engines": {

From b0ae2b19e98af6b319d89d0dd9049afd757e9899 Mon Sep 17 00:00:00 2001
From: Brace Sproul <braceasproul@gmail.com>
Date: Wed, 21 Aug 2024 11:55:29 -0700
Subject: [PATCH 067/344] partners[patch]: Bump langchain scripts version
 (#6586)

* partners[patch]: Bump langchain scripts version

* drop
---
 examples/package.json                         |  2 +-
 langchain-core/package.json                   |  2 +-
 langchain/package.json                        |  2 +-
 .../template/package.json                     |  4 +-
 libs/langchain-anthropic/package.json         |  2 +-
 libs/langchain-aws/package.json               |  2 +-
 .../package.json                              |  2 +-
 libs/langchain-azure-openai/package.json      |  2 +-
 libs/langchain-baidu-qianfan/package.json     |  2 +-
 libs/langchain-cloudflare/package.json        |  2 +-
 libs/langchain-cohere/package.json            |  2 +-
 libs/langchain-community/package.json         |  2 +-
 libs/langchain-exa/package.json               |  2 +-
 libs/langchain-google-common/package.json     |  2 +-
 libs/langchain-google-gauth/package.json      |  2 +-
 libs/langchain-google-genai/package.json      |  2 +-
 .../package.json                              |  2 +-
 libs/langchain-google-vertexai/package.json   |  2 +-
 libs/langchain-google-webauth/package.json    |  2 +-
 libs/langchain-groq/package.json              |  2 +-
 libs/langchain-mistralai/package.json         |  2 +-
 libs/langchain-mixedbread-ai/package.json     |  2 +-
 libs/langchain-mongodb/package.json           |  2 +-
 libs/langchain-nomic/package.json             |  2 +-
 libs/langchain-ollama/package.json            |  2 +-
 libs/langchain-openai/package.json            |  2 +-
 libs/langchain-pinecone/package.json          |  2 +-
 libs/langchain-qdrant/package.json            |  2 +-
 libs/langchain-redis/package.json             |  2 +-
 libs/langchain-textsplitters/package.json     |  2 +-
 libs/langchain-weaviate/package.json          |  2 +-
 libs/langchain-yandex/package.json            |  2 +-
 yarn.lock                                     | 86 +++++++------------
 33 files changed, 65 insertions(+), 87 deletions(-)

diff --git a/examples/package.json b/examples/package.json
index 579c3be83a72..a109009b46a2 100644
--- a/examples/package.json
+++ b/examples/package.json
@@ -58,7 +58,7 @@
     "@langchain/pinecone": "workspace:*",
     "@langchain/qdrant": "workspace:*",
     "@langchain/redis": "workspace:*",
-    "@langchain/scripts": "^0.0.21",
+    "@langchain/scripts": "^0.0.22",
     "@langchain/textsplitters": "workspace:*",
     "@langchain/weaviate": "workspace:*",
     "@langchain/yandex": "workspace:*",
diff --git a/langchain-core/package.json b/langchain-core/package.json
index 79028720f777..abe896a07b17 100644
--- a/langchain-core/package.json
+++ b/langchain-core/package.json
@@ -55,7 +55,7 @@
   },
   "devDependencies": {
     "@jest/globals": "^29.5.0",
-    "@langchain/scripts": "^0.0.21",
+    "@langchain/scripts": "^0.0.22",
     "@swc/core": "^1.3.90",
     "@swc/jest": "^0.2.29",
     "@types/decamelize": "^1.2.0",
diff --git a/langchain/package.json b/langchain/package.json
index 8c5d13a9b751..6263efc4bf71 100644
--- a/langchain/package.json
+++ b/langchain/package.json
@@ -621,7 +621,7 @@
     "@langchain/groq": "^0.0.15",
     "@langchain/mistralai": "^0.0.26",
     "@langchain/ollama": "^0.0.2",
-    "@langchain/scripts": "^0.0.21",
+    "@langchain/scripts": "^0.0.22",
     "@mendable/firecrawl-js": "^0.0.13",
     "@notionhq/client": "^2.2.10",
     "@pinecone-database/pinecone": "^1.1.0",
diff --git a/libs/create-langchain-integration/template/package.json b/libs/create-langchain-integration/template/package.json
index 326580217a7b..5b5b48eafe24 100644
--- a/libs/create-langchain-integration/template/package.json
+++ b/libs/create-langchain-integration/template/package.json
@@ -45,7 +45,7 @@
     "@jest/globals": "^29.5.0",
     "@swc/core": "^1.3.90",
     "@swc/jest": "^0.2.29",
-    "@langchain/scripts": "^0.0.21",
+    "@langchain/scripts": "^0.0.22",
     "@tsconfig/recommended": "^1.0.3",
     "@typescript-eslint/eslint-plugin": "^6.12.0",
     "@typescript-eslint/parser": "^6.12.0",
@@ -82,4 +82,4 @@
     "index.js",
     "index.d.ts"
   ]
-}
+}
\ No newline at end of file
diff --git a/libs/langchain-anthropic/package.json b/libs/langchain-anthropic/package.json
index ea843eab9532..5bc74d744bba 100644
--- a/libs/langchain-anthropic/package.json
+++ b/libs/langchain-anthropic/package.json
@@ -43,7 +43,7 @@
   },
   "devDependencies": {
     "@jest/globals": "^29.5.0",
-    "@langchain/scripts": "^0.0.21",
+    "@langchain/scripts": "^0.0.22",
     "@langchain/standard-tests": "0.0.0",
     "@swc/core": "^1.3.90",
     "@swc/jest": "^0.2.29",
diff --git a/libs/langchain-aws/package.json b/libs/langchain-aws/package.json
index 48e4d63696bb..1d4be50baed5 100644
--- a/libs/langchain-aws/package.json
+++ b/libs/langchain-aws/package.json
@@ -50,7 +50,7 @@
   "devDependencies": {
     "@aws-sdk/types": "^3.609.0",
     "@jest/globals": "^29.5.0",
-    "@langchain/scripts": "^0.0.21",
+    "@langchain/scripts": "^0.0.22",
     "@langchain/standard-tests": "0.0.0",
     "@smithy/types": "^3.2.0",
     "@swc/core": "^1.3.90",
diff --git a/libs/langchain-azure-dynamic-sessions/package.json b/libs/langchain-azure-dynamic-sessions/package.json
index b6504cc0be2a..c503fcd5f74c 100644
--- a/libs/langchain-azure-dynamic-sessions/package.json
+++ b/libs/langchain-azure-dynamic-sessions/package.json
@@ -44,7 +44,7 @@
   },
   "devDependencies": {
     "@jest/globals": "^29.5.0",
-    "@langchain/scripts": "^0.0.21",
+    "@langchain/scripts": "^0.0.22",
     "@swc/core": "^1.3.90",
     "@swc/jest": "^0.2.29",
     "@tsconfig/recommended": "^1.0.3",
diff --git a/libs/langchain-azure-openai/package.json b/libs/langchain-azure-openai/package.json
index a386398a2fc9..0899a8d8b698 100644
--- a/libs/langchain-azure-openai/package.json
+++ b/libs/langchain-azure-openai/package.json
@@ -41,7 +41,7 @@
   "devDependencies": {
     "@azure/identity": "^4.2.1",
     "@jest/globals": "^29.5.0",
-    "@langchain/scripts": "^0.0.21",
+    "@langchain/scripts": "^0.0.22",
     "@langchain/standard-tests": "0.0.0",
     "@swc/core": "^1.3.90",
     "@swc/jest": "^0.2.29",
diff --git a/libs/langchain-baidu-qianfan/package.json b/libs/langchain-baidu-qianfan/package.json
index ae90a64fdf2e..3fa2d51c7627 100644
--- a/libs/langchain-baidu-qianfan/package.json
+++ b/libs/langchain-baidu-qianfan/package.json
@@ -40,7 +40,7 @@
   "devDependencies": {
     "@jest/globals": "^29.5.0",
     "@langchain/openai": "~0.1.0",
-    "@langchain/scripts": "^0.0.21",
+    "@langchain/scripts": "^0.0.22",
     "@swc/core": "^1.3.90",
     "@swc/jest": "^0.2.29",
     "@tsconfig/recommended": "^1.0.3",
diff --git a/libs/langchain-cloudflare/package.json b/libs/langchain-cloudflare/package.json
index af14fba26d76..7633679dde7d 100644
--- a/libs/langchain-cloudflare/package.json
+++ b/libs/langchain-cloudflare/package.json
@@ -43,7 +43,7 @@
     "@cloudflare/workers-types": "^4.20231218.0",
     "@jest/globals": "^29.5.0",
     "@langchain/langgraph": "~0.0.31",
-    "@langchain/scripts": "^0.0.21",
+    "@langchain/scripts": "^0.0.22",
     "@langchain/standard-tests": "0.0.0",
     "@swc/core": "^1.3.90",
     "@swc/jest": "^0.2.29",
diff --git a/libs/langchain-cohere/package.json b/libs/langchain-cohere/package.json
index 27ed82d1eadb..436b0c776b87 100644
--- a/libs/langchain-cohere/package.json
+++ b/libs/langchain-cohere/package.json
@@ -43,7 +43,7 @@
   },
   "devDependencies": {
     "@jest/globals": "^29.5.0",
-    "@langchain/scripts": "^0.0.21",
+    "@langchain/scripts": "^0.0.22",
     "@langchain/standard-tests": "0.0.0",
     "@swc/core": "^1.3.90",
     "@swc/jest": "^0.2.29",
diff --git a/libs/langchain-community/package.json b/libs/langchain-community/package.json
index 83bd6cecae25..63e8945eea79 100644
--- a/libs/langchain-community/package.json
+++ b/libs/langchain-community/package.json
@@ -79,7 +79,7 @@
     "@huggingface/inference": "^2.6.4",
     "@jest/globals": "^29.5.0",
     "@langchain/langgraph": "<0.1.0",
-    "@langchain/scripts": "^0.0.21",
+    "@langchain/scripts": "^0.0.22",
     "@langchain/standard-tests": "0.0.0",
     "@layerup/layerup-security": "^1.5.12",
     "@mendable/firecrawl-js": "^0.0.36",
diff --git a/libs/langchain-exa/package.json b/libs/langchain-exa/package.json
index b4e74ae0387c..7144cbab2ae9 100644
--- a/libs/langchain-exa/package.json
+++ b/libs/langchain-exa/package.json
@@ -45,7 +45,7 @@
   },
   "devDependencies": {
     "@jest/globals": "^29.5.0",
-    "@langchain/scripts": "^0.0.21",
+    "@langchain/scripts": "^0.0.22",
     "@swc/core": "^1.3.90",
     "@swc/jest": "^0.2.29",
     "@tsconfig/recommended": "^1.0.3",
diff --git a/libs/langchain-google-common/package.json b/libs/langchain-google-common/package.json
index 0aba010d59fd..6fad85806da3 100644
--- a/libs/langchain-google-common/package.json
+++ b/libs/langchain-google-common/package.json
@@ -46,7 +46,7 @@
   },
   "devDependencies": {
     "@jest/globals": "^29.5.0",
-    "@langchain/scripts": "^0.0.21",
+    "@langchain/scripts": "^0.0.22",
     "@swc/core": "^1.3.90",
     "@swc/jest": "^0.2.29",
     "@tsconfig/recommended": "^1.0.3",
diff --git a/libs/langchain-google-gauth/package.json b/libs/langchain-google-gauth/package.json
index 3a9190076726..b4e6b33e2ec2 100644
--- a/libs/langchain-google-gauth/package.json
+++ b/libs/langchain-google-gauth/package.json
@@ -41,7 +41,7 @@
   },
   "devDependencies": {
     "@jest/globals": "^29.5.0",
-    "@langchain/scripts": "^0.0.21",
+    "@langchain/scripts": "^0.0.22",
     "@swc/core": "^1.3.90",
     "@swc/jest": "^0.2.29",
     "@tsconfig/recommended": "^1.0.3",
diff --git a/libs/langchain-google-genai/package.json b/libs/langchain-google-genai/package.json
index fdf63cc93a04..ac6bbda0e9c2 100644
--- a/libs/langchain-google-genai/package.json
+++ b/libs/langchain-google-genai/package.json
@@ -41,7 +41,7 @@
   },
   "devDependencies": {
     "@jest/globals": "^29.5.0",
-    "@langchain/scripts": "^0.0.21",
+    "@langchain/scripts": "^0.0.22",
     "@langchain/standard-tests": "0.0.0",
     "@swc/core": "^1.3.90",
     "@swc/jest": "^0.2.29",
diff --git a/libs/langchain-google-vertexai-web/package.json b/libs/langchain-google-vertexai-web/package.json
index 916b95ff069a..f63b59e797fd 100644
--- a/libs/langchain-google-vertexai-web/package.json
+++ b/libs/langchain-google-vertexai-web/package.json
@@ -46,7 +46,7 @@
   "devDependencies": {
     "@jest/globals": "^29.5.0",
     "@langchain/google-common": "~0.0",
-    "@langchain/scripts": "^0.0.21",
+    "@langchain/scripts": "^0.0.22",
     "@langchain/standard-tests": "0.0.0",
     "@swc/core": "^1.3.90",
     "@swc/jest": "^0.2.29",
diff --git a/libs/langchain-google-vertexai/package.json b/libs/langchain-google-vertexai/package.json
index e8094e28f5cf..92f98bb8db0c 100644
--- a/libs/langchain-google-vertexai/package.json
+++ b/libs/langchain-google-vertexai/package.json
@@ -49,7 +49,7 @@
   "devDependencies": {
     "@jest/globals": "^29.5.0",
     "@langchain/google-common": "~0.0",
-    "@langchain/scripts": "^0.0.21",
+    "@langchain/scripts": "^0.0.22",
     "@langchain/standard-tests": "0.0.0",
     "@swc/core": "^1.3.90",
     "@swc/jest": "^0.2.29",
diff --git a/libs/langchain-google-webauth/package.json b/libs/langchain-google-webauth/package.json
index 055e54d8e893..4e2d1072a0ad 100644
--- a/libs/langchain-google-webauth/package.json
+++ b/libs/langchain-google-webauth/package.json
@@ -46,7 +46,7 @@
   },
   "devDependencies": {
     "@jest/globals": "^29.5.0",
-    "@langchain/scripts": "^0.0.21",
+    "@langchain/scripts": "^0.0.22",
     "@swc/core": "^1.3.90",
     "@swc/jest": "^0.2.29",
     "@tsconfig/recommended": "^1.0.3",
diff --git a/libs/langchain-groq/package.json b/libs/langchain-groq/package.json
index d5c1f09c0c86..f2648b4f3a9e 100644
--- a/libs/langchain-groq/package.json
+++ b/libs/langchain-groq/package.json
@@ -44,7 +44,7 @@
   "devDependencies": {
     "@jest/globals": "^29.5.0",
     "@langchain/openai": "workspace:^",
-    "@langchain/scripts": "^0.0.21",
+    "@langchain/scripts": "^0.0.22",
     "@langchain/standard-tests": "0.0.0",
     "@swc/core": "^1.3.90",
     "@swc/jest": "^0.2.29",
diff --git a/libs/langchain-mistralai/package.json b/libs/langchain-mistralai/package.json
index 18518b9ed0a5..121e9f21092c 100644
--- a/libs/langchain-mistralai/package.json
+++ b/libs/langchain-mistralai/package.json
@@ -43,7 +43,7 @@
   },
   "devDependencies": {
     "@jest/globals": "^29.5.0",
-    "@langchain/scripts": "^0.0.21",
+    "@langchain/scripts": "^0.0.22",
     "@langchain/standard-tests": "0.0.0",
     "@swc/core": "^1.3.90",
     "@swc/jest": "^0.2.29",
diff --git a/libs/langchain-mixedbread-ai/package.json b/libs/langchain-mixedbread-ai/package.json
index bdd5c3319687..5317646d976c 100644
--- a/libs/langchain-mixedbread-ai/package.json
+++ b/libs/langchain-mixedbread-ai/package.json
@@ -40,7 +40,7 @@
   },
   "devDependencies": {
     "@jest/globals": "^29.5.0",
-    "@langchain/scripts": "^0.0.21",
+    "@langchain/scripts": "^0.0.22",
     "@langchain/standard-tests": "0.0.0",
     "@swc/core": "^1.3.90",
     "@swc/jest": "^0.2.29",
diff --git a/libs/langchain-mongodb/package.json b/libs/langchain-mongodb/package.json
index ea068045df7f..91c26fb525d1 100644
--- a/libs/langchain-mongodb/package.json
+++ b/libs/langchain-mongodb/package.json
@@ -46,7 +46,7 @@
   "devDependencies": {
     "@jest/globals": "^29.5.0",
     "@langchain/openai": "workspace:*",
-    "@langchain/scripts": "^0.0.21",
+    "@langchain/scripts": "^0.0.22",
     "@swc/core": "^1.3.90",
     "@swc/jest": "^0.2.29",
     "@tsconfig/recommended": "^1.0.3",
diff --git a/libs/langchain-nomic/package.json b/libs/langchain-nomic/package.json
index 8b347543fb53..2168b199c976 100644
--- a/libs/langchain-nomic/package.json
+++ b/libs/langchain-nomic/package.json
@@ -46,7 +46,7 @@
   "devDependencies": {
     "@jest/globals": "^29.5.0",
     "@langchain/openai": "workspace:^",
-    "@langchain/scripts": "^0.0.21",
+    "@langchain/scripts": "^0.0.22",
     "@swc/core": "^1.3.90",
     "@swc/jest": "^0.2.29",
     "@tsconfig/recommended": "^1.0.3",
diff --git a/libs/langchain-ollama/package.json b/libs/langchain-ollama/package.json
index e2b041f03c77..c008be49ca9c 100644
--- a/libs/langchain-ollama/package.json
+++ b/libs/langchain-ollama/package.json
@@ -41,7 +41,7 @@
   },
   "devDependencies": {
     "@jest/globals": "^29.5.0",
-    "@langchain/scripts": "^0.0.21",
+    "@langchain/scripts": "^0.0.22",
     "@langchain/standard-tests": "0.0.0",
     "@swc/core": "^1.3.90",
     "@swc/jest": "^0.2.29",
diff --git a/libs/langchain-openai/package.json b/libs/langchain-openai/package.json
index 1e372dcf3305..738b6a76e84e 100644
--- a/libs/langchain-openai/package.json
+++ b/libs/langchain-openai/package.json
@@ -44,7 +44,7 @@
   "devDependencies": {
     "@azure/identity": "^4.2.1",
     "@jest/globals": "^29.5.0",
-    "@langchain/scripts": "^0.0.21",
+    "@langchain/scripts": "^0.0.22",
     "@langchain/standard-tests": "0.0.0",
     "@swc/core": "^1.3.90",
     "@swc/jest": "^0.2.29",
diff --git a/libs/langchain-pinecone/package.json b/libs/langchain-pinecone/package.json
index ff1e1eef2b45..12cc7eaec7ba 100644
--- a/libs/langchain-pinecone/package.json
+++ b/libs/langchain-pinecone/package.json
@@ -48,7 +48,7 @@
     "@faker-js/faker": "^8.3.1",
     "@jest/globals": "^29.5.0",
     "@langchain/openai": "workspace:*",
-    "@langchain/scripts": "^0.0.21",
+    "@langchain/scripts": "^0.0.22",
     "@swc/core": "^1.3.90",
     "@swc/jest": "^0.2.29",
     "@tsconfig/recommended": "^1.0.3",
diff --git a/libs/langchain-qdrant/package.json b/libs/langchain-qdrant/package.json
index b3a4c254fb9f..a8bd1aefa31e 100644
--- a/libs/langchain-qdrant/package.json
+++ b/libs/langchain-qdrant/package.json
@@ -46,7 +46,7 @@
   "devDependencies": {
     "@faker-js/faker": "^8.4.1",
     "@jest/globals": "^29.5.0",
-    "@langchain/scripts": "^0.0.21",
+    "@langchain/scripts": "^0.0.22",
     "@swc/core": "^1.3.90",
     "@swc/jest": "^0.2.29",
     "@tsconfig/recommended": "^1.0.3",
diff --git a/libs/langchain-redis/package.json b/libs/langchain-redis/package.json
index 4d3f13c76531..1903dead9b03 100644
--- a/libs/langchain-redis/package.json
+++ b/libs/langchain-redis/package.json
@@ -45,7 +45,7 @@
   "devDependencies": {
     "@faker-js/faker": "^8.4.0",
     "@jest/globals": "^29.5.0",
-    "@langchain/scripts": "^0.0.21",
+    "@langchain/scripts": "^0.0.22",
     "@swc/core": "^1.3.90",
     "@swc/jest": "^0.2.29",
     "@tsconfig/recommended": "^1.0.3",
diff --git a/libs/langchain-textsplitters/package.json b/libs/langchain-textsplitters/package.json
index 1efb1da6a906..a610b2ac5823 100644
--- a/libs/langchain-textsplitters/package.json
+++ b/libs/langchain-textsplitters/package.json
@@ -44,7 +44,7 @@
   },
   "devDependencies": {
     "@jest/globals": "^29.5.0",
-    "@langchain/scripts": "^0.0.21",
+    "@langchain/scripts": "^0.0.22",
     "@swc/core": "^1.3.90",
     "@swc/jest": "^0.2.29",
     "@tsconfig/recommended": "^1.0.3",
diff --git a/libs/langchain-weaviate/package.json b/libs/langchain-weaviate/package.json
index d7939017b918..7ad79c6a7984 100644
--- a/libs/langchain-weaviate/package.json
+++ b/libs/langchain-weaviate/package.json
@@ -47,7 +47,7 @@
   "devDependencies": {
     "@jest/globals": "^29.5.0",
     "@langchain/openai": "workspace:^",
-    "@langchain/scripts": "^0.0.21",
+    "@langchain/scripts": "^0.0.22",
     "@swc/core": "^1.3.90",
     "@swc/jest": "^0.2.29",
     "@tsconfig/recommended": "^1.0.3",
diff --git a/libs/langchain-yandex/package.json b/libs/langchain-yandex/package.json
index 6d4e57ced8c1..b194e416265d 100644
--- a/libs/langchain-yandex/package.json
+++ b/libs/langchain-yandex/package.json
@@ -44,7 +44,7 @@
   },
   "devDependencies": {
     "@jest/globals": "^29.5.0",
-    "@langchain/scripts": "^0.0.21",
+    "@langchain/scripts": "^0.0.22",
     "@swc/core": "^1.3.90",
     "@swc/jest": "^0.2.29",
     "@tsconfig/recommended": "^1.0.3",
diff --git a/yarn.lock b/yarn.lock
index dd138da859d4..9b54943d05c5 100644
--- a/yarn.lock
+++ b/yarn.lock
@@ -10854,7 +10854,7 @@ __metadata:
     "@anthropic-ai/sdk": ^0.25.2
     "@jest/globals": ^29.5.0
     "@langchain/core": ">=0.2.21 <0.3.0"
-    "@langchain/scripts": ^0.0.21
+    "@langchain/scripts": ^0.0.22
     "@langchain/standard-tests": 0.0.0
     "@swc/core": ^1.3.90
     "@swc/jest": ^0.2.29
@@ -10904,7 +10904,7 @@ __metadata:
     "@aws-sdk/types": ^3.609.0
     "@jest/globals": ^29.5.0
     "@langchain/core": ">=0.2.21 <0.3.0"
-    "@langchain/scripts": ^0.0.21
+    "@langchain/scripts": ^0.0.22
     "@langchain/standard-tests": 0.0.0
     "@smithy/types": ^3.2.0
     "@swc/core": ^1.3.90
@@ -10973,7 +10973,7 @@ __metadata:
     "@azure/identity": ^4.2.1
     "@jest/globals": ^29.5.0
     "@langchain/core": ~0.2
-    "@langchain/scripts": ^0.0.21
+    "@langchain/scripts": ^0.0.22
     "@swc/core": ^1.3.90
     "@swc/jest": ^0.2.29
     "@tsconfig/recommended": ^1.0.3
@@ -11008,7 +11008,7 @@ __metadata:
     "@azure/openai": 1.0.0-beta.11
     "@jest/globals": ^29.5.0
     "@langchain/core": ">0.1.0 <0.3.0"
-    "@langchain/scripts": ^0.0.21
+    "@langchain/scripts": ^0.0.22
     "@langchain/standard-tests": 0.0.0
     "@swc/core": ^1.3.90
     "@swc/jest": ^0.2.29
@@ -11040,7 +11040,7 @@ __metadata:
     "@jest/globals": ^29.5.0
     "@langchain/core": ">0.1.56 <0.3.0"
     "@langchain/openai": ~0.1.0
-    "@langchain/scripts": ^0.0.21
+    "@langchain/scripts": ^0.0.22
     "@swc/core": ^1.3.90
     "@swc/jest": ^0.2.29
     "@tsconfig/recommended": ^1.0.3
@@ -11076,7 +11076,7 @@ __metadata:
     "@jest/globals": ^29.5.0
     "@langchain/core": ">0.1.0 <0.3.0"
     "@langchain/langgraph": ~0.0.31
-    "@langchain/scripts": ^0.0.21
+    "@langchain/scripts": ^0.0.22
     "@langchain/standard-tests": 0.0.0
     "@swc/core": ^1.3.90
     "@swc/jest": ^0.2.29
@@ -11114,7 +11114,7 @@ __metadata:
   dependencies:
     "@jest/globals": ^29.5.0
     "@langchain/core": ">=0.2.21 <0.3.0"
-    "@langchain/scripts": ^0.0.21
+    "@langchain/scripts": ^0.0.22
     "@langchain/standard-tests": 0.0.0
     "@swc/core": ^1.3.90
     "@swc/jest": ^0.2.29
@@ -11181,7 +11181,7 @@ __metadata:
     "@langchain/core": ">=0.2.21 <0.3.0"
     "@langchain/langgraph": <0.1.0
     "@langchain/openai": ">=0.2.0 <0.3.0"
-    "@langchain/scripts": ^0.0.21
+    "@langchain/scripts": ^0.0.22
     "@langchain/standard-tests": 0.0.0
     "@layerup/layerup-security": ^1.5.12
     "@mendable/firecrawl-js": ^0.0.36
@@ -11692,7 +11692,7 @@ __metadata:
   resolution: "@langchain/core@workspace:langchain-core"
   dependencies:
     "@jest/globals": ^29.5.0
-    "@langchain/scripts": ^0.0.21
+    "@langchain/scripts": ^0.0.22
     "@swc/core": ^1.3.90
     "@swc/jest": ^0.2.29
     "@types/decamelize": ^1.2.0
@@ -11734,7 +11734,7 @@ __metadata:
   dependencies:
     "@jest/globals": ^29.5.0
     "@langchain/core": ">0.1.0 <0.3.0"
-    "@langchain/scripts": ^0.0.21
+    "@langchain/scripts": ^0.0.22
     "@swc/core": ^1.3.90
     "@swc/jest": ^0.2.29
     "@tsconfig/recommended": ^1.0.3
@@ -11766,7 +11766,7 @@ __metadata:
   dependencies:
     "@jest/globals": ^29.5.0
     "@langchain/core": ">=0.2.21 <0.3.0"
-    "@langchain/scripts": ^0.0.21
+    "@langchain/scripts": ^0.0.22
     "@swc/core": ^1.3.90
     "@swc/jest": ^0.2.29
     "@tsconfig/recommended": ^1.0.3
@@ -11800,7 +11800,7 @@ __metadata:
     "@jest/globals": ^29.5.0
     "@langchain/core": ">=0.2.21 <0.3.0"
     "@langchain/google-common": ~0.0.26
-    "@langchain/scripts": ^0.0.21
+    "@langchain/scripts": ^0.0.22
     "@swc/core": ^1.3.90
     "@swc/jest": ^0.2.29
     "@tsconfig/recommended": ^1.0.3
@@ -11833,7 +11833,7 @@ __metadata:
     "@google/generative-ai": ^0.7.0
     "@jest/globals": ^29.5.0
     "@langchain/core": ">=0.2.21 <0.3.0"
-    "@langchain/scripts": ^0.0.21
+    "@langchain/scripts": ^0.0.22
     "@langchain/standard-tests": 0.0.0
     "@swc/core": ^1.3.90
     "@swc/jest": ^0.2.29
@@ -11869,7 +11869,7 @@ __metadata:
     "@langchain/core": ">=0.2.21 <0.3.0"
     "@langchain/google-common": ~0.0
     "@langchain/google-webauth": ~0.0.26
-    "@langchain/scripts": ^0.0.21
+    "@langchain/scripts": ^0.0.22
     "@langchain/standard-tests": 0.0.0
     "@swc/core": ^1.3.90
     "@swc/jest": ^0.2.29
@@ -11903,7 +11903,7 @@ __metadata:
     "@langchain/core": ">=0.2.21 <0.3.0"
     "@langchain/google-common": ~0.0
     "@langchain/google-gauth": ~0.0.26
-    "@langchain/scripts": ^0.0.21
+    "@langchain/scripts": ^0.0.22
     "@langchain/standard-tests": 0.0.0
     "@swc/core": ^1.3.90
     "@swc/jest": ^0.2.29
@@ -11936,7 +11936,7 @@ __metadata:
     "@jest/globals": ^29.5.0
     "@langchain/core": ">=0.2.21 <0.3.0"
     "@langchain/google-common": ~0.0.26
-    "@langchain/scripts": ^0.0.21
+    "@langchain/scripts": ^0.0.22
     "@swc/core": ^1.3.90
     "@swc/jest": ^0.2.29
     "@tsconfig/recommended": ^1.0.3
@@ -11981,7 +11981,7 @@ __metadata:
     "@jest/globals": ^29.5.0
     "@langchain/core": ">=0.2.21 <0.3.0"
     "@langchain/openai": "workspace:^"
-    "@langchain/scripts": ^0.0.21
+    "@langchain/scripts": ^0.0.22
     "@langchain/standard-tests": 0.0.0
     "@swc/core": ^1.3.90
     "@swc/jest": ^0.2.29
@@ -12077,7 +12077,7 @@ __metadata:
   dependencies:
     "@jest/globals": ^29.5.0
     "@langchain/core": ">=0.2.21 <0.3.0"
-    "@langchain/scripts": ^0.0.21
+    "@langchain/scripts": ^0.0.22
     "@langchain/standard-tests": 0.0.0
     "@mistralai/mistralai": ^1.1.0
     "@swc/core": ^1.3.90
@@ -12112,7 +12112,7 @@ __metadata:
   dependencies:
     "@jest/globals": ^29.5.0
     "@langchain/core": ">=0.2.5 <0.3.0"
-    "@langchain/scripts": ^0.0.21
+    "@langchain/scripts": ^0.0.22
     "@langchain/standard-tests": 0.0.0
     "@mixedbread-ai/sdk": ^2.2.3
     "@swc/core": ^1.3.90
@@ -12146,7 +12146,7 @@ __metadata:
     "@jest/globals": ^29.5.0
     "@langchain/core": ">0.1.0 <0.3.0"
     "@langchain/openai": "workspace:*"
-    "@langchain/scripts": ^0.0.21
+    "@langchain/scripts": ^0.0.22
     "@swc/core": ^1.3.90
     "@swc/jest": ^0.2.29
     "@tsconfig/recommended": ^1.0.3
@@ -12180,7 +12180,7 @@ __metadata:
     "@jest/globals": ^29.5.0
     "@langchain/core": ">0.1.0 <0.3.0"
     "@langchain/openai": "workspace:^"
-    "@langchain/scripts": ^0.0.21
+    "@langchain/scripts": ^0.0.22
     "@nomic-ai/atlas": ^0.8.0
     "@swc/core": ^1.3.90
     "@swc/jest": ^0.2.29
@@ -12223,7 +12223,7 @@ __metadata:
   dependencies:
     "@jest/globals": ^29.5.0
     "@langchain/core": ">=0.2.21 <0.3.0"
-    "@langchain/scripts": ^0.0.21
+    "@langchain/scripts": ^0.0.22
     "@langchain/standard-tests": 0.0.0
     "@swc/core": ^1.3.90
     "@swc/jest": ^0.2.29
@@ -12259,7 +12259,7 @@ __metadata:
     "@azure/identity": ^4.2.1
     "@jest/globals": ^29.5.0
     "@langchain/core": ">=0.2.26 <0.3.0"
-    "@langchain/scripts": ^0.0.21
+    "@langchain/scripts": ^0.0.22
     "@langchain/standard-tests": 0.0.0
     "@swc/core": ^1.3.90
     "@swc/jest": ^0.2.29
@@ -12306,7 +12306,7 @@ __metadata:
     "@jest/globals": ^29.5.0
     "@langchain/core": ">0.2.0 <0.3.0"
     "@langchain/openai": "workspace:*"
-    "@langchain/scripts": ^0.0.21
+    "@langchain/scripts": ^0.0.22
     "@pinecone-database/pinecone": ^3.0.0
     "@swc/core": ^1.3.90
     "@swc/jest": ^0.2.29
@@ -12341,7 +12341,7 @@ __metadata:
     "@faker-js/faker": ^8.4.1
     "@jest/globals": ^29.5.0
     "@langchain/core": ">0.1.0 <0.3.0"
-    "@langchain/scripts": ^0.0.21
+    "@langchain/scripts": ^0.0.22
     "@qdrant/js-client-rest": ^1.9.0
     "@swc/core": ^1.3.90
     "@swc/jest": ^0.2.29
@@ -12375,7 +12375,7 @@ __metadata:
     "@faker-js/faker": ^8.4.0
     "@jest/globals": ^29.5.0
     "@langchain/core": ">0.1.0 <0.3.0"
-    "@langchain/scripts": ^0.0.21
+    "@langchain/scripts": ^0.0.22
     "@swc/core": ^1.3.90
     "@swc/jest": ^0.2.29
     "@tsconfig/recommended": ^1.0.3
@@ -12402,29 +12402,7 @@ __metadata:
   languageName: unknown
   linkType: soft
 
-"@langchain/scripts@npm:^0.0.21":
-  version: 0.0.21
-  resolution: "@langchain/scripts@npm:0.0.21"
-  dependencies:
-    "@rollup/wasm-node": ^4.19.0
-    axios: ^1.6.7
-    commander: ^11.1.0
-    glob: ^10.3.10
-    lodash: ^4.17.21
-    readline: ^1.3.0
-    rimraf: ^5.0.1
-    rollup: ^4.5.2
-    ts-morph: ^21.0.1
-    typescript: ^5.4.5
-  bin:
-    lc-build: bin/build.js
-    lc_build_v2: bin/build_v2.js
-    notebook_validate: bin/validate_notebook.js
-  checksum: 4653f3e5866d5c206013eb3d556bd11cc410e5ad118ed62f3794a3a63de8fc56bab362c537700387a03cf5aee018fc117413c3d6048d50ed9a54adc07006d13c
-  languageName: node
-  linkType: hard
-
-"@langchain/scripts@workspace:*, @langchain/scripts@workspace:libs/langchain-scripts, @langchain/scripts@~0.0":
+"@langchain/scripts@^0.0.22, @langchain/scripts@workspace:*, @langchain/scripts@workspace:libs/langchain-scripts, @langchain/scripts@~0.0":
   version: 0.0.0-use.local
   resolution: "@langchain/scripts@workspace:libs/langchain-scripts"
   dependencies:
@@ -12504,7 +12482,7 @@ __metadata:
   dependencies:
     "@jest/globals": ^29.5.0
     "@langchain/core": ">0.2.0 <0.3.0"
-    "@langchain/scripts": ^0.0.21
+    "@langchain/scripts": ^0.0.22
     "@swc/core": ^1.3.90
     "@swc/jest": ^0.2.29
     "@tsconfig/recommended": ^1.0.3
@@ -12536,7 +12514,7 @@ __metadata:
     "@jest/globals": ^29.5.0
     "@langchain/core": ">0.2.0 <0.3.0"
     "@langchain/openai": "workspace:^"
-    "@langchain/scripts": ^0.0.21
+    "@langchain/scripts": ^0.0.22
     "@swc/core": ^1.3.90
     "@swc/jest": ^0.2.29
     "@tsconfig/recommended": ^1.0.3
@@ -12570,7 +12548,7 @@ __metadata:
   dependencies:
     "@jest/globals": ^29.5.0
     "@langchain/core": ">0.1.0  <0.3.0"
-    "@langchain/scripts": ^0.0.21
+    "@langchain/scripts": ^0.0.22
     "@swc/core": ^1.3.90
     "@swc/jest": ^0.2.29
     "@tsconfig/recommended": ^1.0.3
@@ -26715,7 +26693,7 @@ __metadata:
     "@langchain/pinecone": "workspace:*"
     "@langchain/qdrant": "workspace:*"
     "@langchain/redis": "workspace:*"
-    "@langchain/scripts": ^0.0.21
+    "@langchain/scripts": ^0.0.22
     "@langchain/textsplitters": "workspace:*"
     "@langchain/weaviate": "workspace:*"
     "@langchain/yandex": "workspace:*"
@@ -32080,7 +32058,7 @@ __metadata:
     "@langchain/mistralai": ^0.0.26
     "@langchain/ollama": ^0.0.2
     "@langchain/openai": ">=0.1.0 <0.3.0"
-    "@langchain/scripts": ^0.0.21
+    "@langchain/scripts": ^0.0.22
     "@langchain/textsplitters": ~0.0.0
     "@mendable/firecrawl-js": ^0.0.13
     "@notionhq/client": ^2.2.10

From f598c5d86f514f07d42445961aadb4e21efe0017 Mon Sep 17 00:00:00 2001
From: Brace Sproul <braceasproul@gmail.com>
Date: Wed, 21 Aug 2024 11:55:57 -0700
Subject: [PATCH 068/344] docs[patch]: Add ls example selector link to how to
 index (#6588)

---
 docs/core_docs/docs/how_to/index.mdx | 1 +
 1 file changed, 1 insertion(+)

diff --git a/docs/core_docs/docs/how_to/index.mdx b/docs/core_docs/docs/how_to/index.mdx
index a0459f3a2e21..e9f756ab7953 100644
--- a/docs/core_docs/docs/how_to/index.mdx
+++ b/docs/core_docs/docs/how_to/index.mdx
@@ -62,6 +62,7 @@ These are the core building blocks you can use when building applications.
 - [How to: use example selectors](/docs/how_to/example_selectors)
 - [How to: select examples by length](/docs/how_to/example_selectors_length_based)
 - [How to: select examples by semantic similarity](/docs/how_to/example_selectors_similarity)
+- [How to: select examples from LangSmith few-shot datasets](/docs/how_to/example_selectors_langsmith)
 
 ### Chat models
 

From f3e2379fecf357ff26918f9944041d1cf7e8c926 Mon Sep 17 00:00:00 2001
From: Brace Sproul <braceasproul@gmail.com>
Date: Wed, 21 Aug 2024 12:20:54 -0700
Subject: [PATCH 069/344] docs[minor]: Port few shot concepts (#6589)

* docs[minor]: Port few shot concepts

* chore: lint files
---
 docs/core_docs/docs/concepts.mdx | 95 ++++++++++++++++++++++++++++++--
 1 file changed, 90 insertions(+), 5 deletions(-)

diff --git a/docs/core_docs/docs/concepts.mdx b/docs/core_docs/docs/concepts.mdx
index f363cf44fd46..e751a8db1e02 100644
--- a/docs/core_docs/docs/concepts.mdx
+++ b/docs/core_docs/docs/concepts.mdx
@@ -206,7 +206,7 @@ Some language models take an array of messages as input and return a message.
 There are a few different types of messages.
 All messages have a `role`, `content`, and `response_metadata` property.
 
-The `role` describes WHO is saying the message.
+The `role` describes WHO is saying the message. The standard roles are "user", "assistant", "system", and "tool".
 LangChain has different message classes for different roles.
 
 The `content` property describes the content of the message.
@@ -215,13 +215,16 @@ This can be a few different things:
 - A string (most models deal this type of content)
 - A List of objects (this is used for multi-modal input, where the object contains information about that input type and that input location)
 
+Optionally, messages can have a `name` property which allows for differentiating between multiple speakers with the same role.
+For example, if there are two users in the chat history it can be useful to differentiate between them. Not all models support this.
+
 #### HumanMessage
 
-This represents a message from the user.
+This represents a message with role "user".
 
 #### AIMessage
 
-This represents a message from the model. In addition to the `content` property, these messages also have:
+This represents a message with role "assistant". In addition to the `content` property, these messages also have:
 
 **`response_metadata`**
 
@@ -241,11 +244,11 @@ This property returns a list of `ToolCall`s. A `ToolCall` is an object with the
 
 #### SystemMessage
 
-This represents a system message, which tells the model how to behave. Not every model provider supports this.
+This represents a message with role "system", which tells the model how to behave. Not every model provider supports this.
 
 #### ToolMessage
 
-This represents the result of a tool call. In addition to `role` and `content`, this message has:
+This represents a message with role "tool", which contains the result of calling a tool. In addition to `role` and `content`, this message has:
 
 - a `tool_call_id` field which conveys the id of the call to the tool that was called to produce this result.
 - an `artifact` field which can be used to pass along arbitrary artifacts of the tool execution which are useful to track but which should not be sent to the model.
@@ -347,6 +350,7 @@ For specifics on how to use prompt templates, see the [relevant how-to guides he
 ### Example Selectors
 
 One common prompting technique for achieving better performance is to include examples as part of the prompt.
+This is known as [few-shot prompting](/docs/concepts/#few-shot-prompting).
 This gives the language model concrete examples of how it should behave.
 Sometimes these examples are hardcoded into the prompt, but for more advanced situations it may be nice to dynamically select them.
 Example Selectors are classes responsible for selecting and then formatting examples into prompts.
@@ -1144,6 +1148,87 @@ The following how-to guides are good practical resources for using function/tool
 - [How to return structured data from an LLM](/docs/how_to/structured_output/)
 - [How to use a model to call tools](/docs/how_to/tool_calling)
 
+### Few-shot prompting
+
+One of the most effective ways to improve model performance is to give a model examples of what you want it to do. The technique of adding example inputs and expected outputs to a model prompt is known as "few-shot prompting". There are a few things to think about when doing few-shot prompting:
+
+1. How are examples generated?
+2. How many examples are in each prompt?
+3. How are examples selected at runtime?
+4. How are examples formatted in the prompt?
+
+Here are the considerations for each.
+
+#### 1. Generating examples
+
+The first and most important step of few-shot prompting is coming up with a good dataset of examples.
+Good examples should be relevant at runtime, clear, informative, and provide information that was not already known to the model.
+
+At a high-level, the basic ways to generate examples are:
+
+- Manual: a person/people generates examples they think are useful.
+- Better model: a better (presumably more expensive/slower) model's responses are used as examples for a worse (presumably cheaper/faster) model.
+- User feedback: users (or labelers) leave feedback on interactions with the application and examples are generated based on that feedback (for example, all interactions with positive feedback could be turned into examples).
+- LLM feedback: same as user feedback but the process is automated by having models evaluate themselves.
+
+Which approach is best depends on your task. For tasks where a small number core principles need to be understood really well, it can be valuable hand-craft a few really good examples.
+For tasks where the space of correct behaviors is broader and more nuanced, it can be useful to generate many examples in a more automated fashion so that there's a higher likelihood of there being some highly relevant examples for any runtime input.
+
+**Single-turn v.s. multi-turn examples**
+
+Another dimension to think about when generating examples is what the example is actually showing.
+
+The simplest types of examples just have a user input and an expected model output. These are single-turn examples.
+
+One more complex type if example is where the example is an entire conversation, usually in which a model initially responds incorrectly and a user then tells the model how to correct its answer.
+This is called a multi-turn example. Multi-turn examples can be useful for more nuanced tasks where its useful to show common errors and spell out exactly why they're wrong and what should be done instead.
+
+#### 2. Number of examples
+
+Once we have a dataset of examples, we need to think about how many examples should be in each prompt.
+The key tradeoff is that more examples generally improve performance, but larger prompts increase costs and latency.
+And beyond some threshold having too many examples can start to confuse the model.
+Finding the right number of examples is highly dependent on the model, the task, the quality of the examples, and your cost and latency constraints.
+Anecdotally, the better the model is the fewer examples it needs to perform well and the more quickly you hit steeply diminishing returns on adding more examples.
+But, the best/only way to reliably answer this question is to run some experiments with different numbers of examples.
+
+#### 3. Selecting examples
+
+Assuming we are not adding our entire example dataset into each prompt, we need to have a way of selecting examples from our dataset based on a given input. We can do this:
+
+- Randomly
+- By (semantic or keyword-based) similarity of the inputs
+- Based on some other constraints, like token size
+
+LangChain has a number of [`ExampleSelectors`](/docs/concepts/#example-selectors) which make it easy to use any of these techniques.
+
+Generally, selecting by semantic similarity leads to the best model performance. But how important this is is again model and task specific, and is something worth experimenting with.
+
+#### 4. Formatting examples
+
+Most state-of-the-art models these days are chat models, so we'll focus on formatting examples for those. Our basic options are to insert the examples:
+
+- In the system prompt as a string
+- As their own messages
+
+If we insert our examples into the system prompt as a string, we'll need to make sure it's clear to the model where each example begins and which parts are the input versus output. Different models respond better to different syntaxes, like [ChatML](https://learn.microsoft.com/en-us/azure/ai-services/openai/how-to/chat-markup-language), XML, TypeScript, etc.
+
+If we insert our examples as messages, where each example is represented as a sequence of Human, AI messages, we might want to also assign [names](/docs/concepts/#messages) to our messages like `"exampleUser"` and `"exampleAssistant"` to make it clear that these messages correspond to different actors than the latest input message.
+
+**Formatting tool call examples**
+
+One area where formatting examples as messages can be tricky is when our example outputs have tool calls. This is because different models have different constraints on what types of message sequences are allowed when any tool calls are generated.
+
+- Some models require that any AIMessage with tool calls be immediately followed by ToolMessages for every tool call,
+- Some models additionally require that any ToolMessages be immediately followed by an AIMessage before the next HumanMessage,
+- Some models require that tools are passed in to the model if there are any tool calls / ToolMessages in the chat history.
+
+These requirements are model-specific and should be checked for the model you are using. If your model requires ToolMessages after tool calls and/or AIMessages after ToolMessages and your examples only include expected tool calls and not the actual tool outputs, you can try adding dummy ToolMessages / AIMessages to the end of each example with generic contents to satisfy the API constraints.
+
+In these cases it's especially worth experimenting with inserting your examples as strings versus messages, as having dummy messages can adversely affect certain models.
+
+You can see a case study of how Anthropic and OpenAI respond to different few-shot prompting techniques on two different tool calling benchmarks [here](https://blog.langchain.dev/few-shot-prompting-to-improve-tool-calling-performance/).
+
 ### Retrieval
 
 LLMs are trained on a large but fixed dataset, limiting their ability to reason over private or recent information. Fine-tuning an LLM with specific facts is one way to mitigate this, but is often [poorly suited for factual recall](https://www.anyscale.com/blog/fine-tuning-is-for-form-not-facts) and [can be costly](https://www.glean.com/blog/how-to-build-an-ai-assistant-for-the-enterprise).

From 0ba524ebdeed00bb32396d94afb670c31ec609d6 Mon Sep 17 00:00:00 2001
From: Brace Sproul <braceasproul@gmail.com>
Date: Wed, 21 Aug 2024 16:20:42 -0700
Subject: [PATCH 070/344] scripts[patch]: Fix reading original entrypoint file
 (#6591)

* scripts[patch]: Fix reading original entrypoint file

* chore: lint files
---
 libs/langchain-scripts/src/build_v2.ts | 15 ++++++++-------
 1 file changed, 8 insertions(+), 7 deletions(-)

diff --git a/libs/langchain-scripts/src/build_v2.ts b/libs/langchain-scripts/src/build_v2.ts
index 13fc67fbb863..4c4b42653c60 100644
--- a/libs/langchain-scripts/src/build_v2.ts
+++ b/libs/langchain-scripts/src/build_v2.ts
@@ -490,17 +490,13 @@ function listEntrypoints(packageJson: Record<string, any>) {
 const checkAllowSideEffects = async (entrypoint: string): Promise<boolean> => {
   let entrypointContent: Buffer | undefined;
   try {
-    entrypointContent = await fs.promises.readFile(
-      `./dist/${entrypoint.replace(/^\.\//, "")}`
-    );
+    entrypointContent = await fs.promises.readFile(`./dist/${entrypoint}.js`);
     // eslint-disable-next-line @typescript-eslint/no-explicit-any
   } catch (e: any) {
     if (e.message.includes("ENOENT")) {
       // Entrypoint is likely via an `index.js` file, retry with `index.js` appended to path
       entrypointContent = await fs.promises.readFile(
-        `./dist/${entrypoint
-          .replace(/^\.\//, "")
-          .replace(/\.js$/, "")}/index.js`
+        `./dist/${entrypoint}/index.js`
       );
     }
   }
@@ -542,7 +538,12 @@ async function checkTreeShaking(config: LangChainConfig) {
 
     let hasUnexpectedSideEffects = sideEffects.length > 0;
     if (hasUnexpectedSideEffects) {
-      hasUnexpectedSideEffects = !(await checkAllowSideEffects(entrypoint));
+      // Map the entrypoint back to the actual file entrypoint using the LangChainConfig file
+      const actualEntrypoint =
+        config.entrypoints[entrypoint.replace(/^\.\/|\.js$/g, "")];
+      hasUnexpectedSideEffects = !(await checkAllowSideEffects(
+        actualEntrypoint
+      ));
     }
     reportMap.set(entrypoint, {
       log: sideEffects,

From 4350b27a4e363d9ef2db42b9723d72c5d9b567b3 Mon Sep 17 00:00:00 2001
From: Brace Sproul <braceasproul@gmail.com>
Date: Wed, 21 Aug 2024 16:23:46 -0700
Subject: [PATCH 071/344] scripts[patch]: Release 0.0.23 (#6592)

* scripts[patch]: Release 0.0.23

* bump scripts version
---
 examples/package.json                         |  2 +-
 langchain-core/package.json                   |  2 +-
 langchain/package.json                        |  2 +-
 .../template/package.json                     |  2 +-
 libs/langchain-anthropic/package.json         |  2 +-
 libs/langchain-aws/package.json               |  2 +-
 .../package.json                              |  2 +-
 libs/langchain-azure-openai/package.json      |  2 +-
 libs/langchain-baidu-qianfan/package.json     |  2 +-
 libs/langchain-cloudflare/package.json        |  2 +-
 libs/langchain-cohere/package.json            |  2 +-
 libs/langchain-community/package.json         |  2 +-
 libs/langchain-exa/package.json               |  2 +-
 libs/langchain-google-common/package.json     |  2 +-
 libs/langchain-google-gauth/package.json      |  2 +-
 libs/langchain-google-genai/package.json      |  2 +-
 .../package.json                              |  2 +-
 libs/langchain-google-vertexai/package.json   |  2 +-
 libs/langchain-google-webauth/package.json    |  2 +-
 libs/langchain-groq/package.json              |  2 +-
 libs/langchain-mistralai/package.json         |  2 +-
 libs/langchain-mixedbread-ai/package.json     |  2 +-
 libs/langchain-mongodb/package.json           |  2 +-
 libs/langchain-nomic/package.json             |  2 +-
 libs/langchain-ollama/package.json            |  2 +-
 libs/langchain-openai/package.json            |  2 +-
 libs/langchain-pinecone/package.json          |  2 +-
 libs/langchain-qdrant/package.json            |  2 +-
 libs/langchain-redis/package.json             |  2 +-
 libs/langchain-scripts/package.json           |  2 +-
 libs/langchain-textsplitters/package.json     |  2 +-
 libs/langchain-weaviate/package.json          |  2 +-
 libs/langchain-yandex/package.json            |  2 +-
 yarn.lock                                     | 64 +++++++++----------
 34 files changed, 65 insertions(+), 65 deletions(-)

diff --git a/examples/package.json b/examples/package.json
index a109009b46a2..340405e6b8ad 100644
--- a/examples/package.json
+++ b/examples/package.json
@@ -58,7 +58,7 @@
     "@langchain/pinecone": "workspace:*",
     "@langchain/qdrant": "workspace:*",
     "@langchain/redis": "workspace:*",
-    "@langchain/scripts": "^0.0.22",
+    "@langchain/scripts": "^0.0.23",
     "@langchain/textsplitters": "workspace:*",
     "@langchain/weaviate": "workspace:*",
     "@langchain/yandex": "workspace:*",
diff --git a/langchain-core/package.json b/langchain-core/package.json
index abe896a07b17..613cb1522b01 100644
--- a/langchain-core/package.json
+++ b/langchain-core/package.json
@@ -55,7 +55,7 @@
   },
   "devDependencies": {
     "@jest/globals": "^29.5.0",
-    "@langchain/scripts": "^0.0.22",
+    "@langchain/scripts": "^0.0.23",
     "@swc/core": "^1.3.90",
     "@swc/jest": "^0.2.29",
     "@types/decamelize": "^1.2.0",
diff --git a/langchain/package.json b/langchain/package.json
index 6263efc4bf71..fe3c6ee0b599 100644
--- a/langchain/package.json
+++ b/langchain/package.json
@@ -621,7 +621,7 @@
     "@langchain/groq": "^0.0.15",
     "@langchain/mistralai": "^0.0.26",
     "@langchain/ollama": "^0.0.2",
-    "@langchain/scripts": "^0.0.22",
+    "@langchain/scripts": "^0.0.23",
     "@mendable/firecrawl-js": "^0.0.13",
     "@notionhq/client": "^2.2.10",
     "@pinecone-database/pinecone": "^1.1.0",
diff --git a/libs/create-langchain-integration/template/package.json b/libs/create-langchain-integration/template/package.json
index 5b5b48eafe24..4b3cb068bf24 100644
--- a/libs/create-langchain-integration/template/package.json
+++ b/libs/create-langchain-integration/template/package.json
@@ -45,7 +45,7 @@
     "@jest/globals": "^29.5.0",
     "@swc/core": "^1.3.90",
     "@swc/jest": "^0.2.29",
-    "@langchain/scripts": "^0.0.22",
+    "@langchain/scripts": "^0.0.23",
     "@tsconfig/recommended": "^1.0.3",
     "@typescript-eslint/eslint-plugin": "^6.12.0",
     "@typescript-eslint/parser": "^6.12.0",
diff --git a/libs/langchain-anthropic/package.json b/libs/langchain-anthropic/package.json
index 5bc74d744bba..f4ef0778ee65 100644
--- a/libs/langchain-anthropic/package.json
+++ b/libs/langchain-anthropic/package.json
@@ -43,7 +43,7 @@
   },
   "devDependencies": {
     "@jest/globals": "^29.5.0",
-    "@langchain/scripts": "^0.0.22",
+    "@langchain/scripts": "^0.0.23",
     "@langchain/standard-tests": "0.0.0",
     "@swc/core": "^1.3.90",
     "@swc/jest": "^0.2.29",
diff --git a/libs/langchain-aws/package.json b/libs/langchain-aws/package.json
index 1d4be50baed5..d9a4990e1146 100644
--- a/libs/langchain-aws/package.json
+++ b/libs/langchain-aws/package.json
@@ -50,7 +50,7 @@
   "devDependencies": {
     "@aws-sdk/types": "^3.609.0",
     "@jest/globals": "^29.5.0",
-    "@langchain/scripts": "^0.0.22",
+    "@langchain/scripts": "^0.0.23",
     "@langchain/standard-tests": "0.0.0",
     "@smithy/types": "^3.2.0",
     "@swc/core": "^1.3.90",
diff --git a/libs/langchain-azure-dynamic-sessions/package.json b/libs/langchain-azure-dynamic-sessions/package.json
index c503fcd5f74c..c726d00e93cf 100644
--- a/libs/langchain-azure-dynamic-sessions/package.json
+++ b/libs/langchain-azure-dynamic-sessions/package.json
@@ -44,7 +44,7 @@
   },
   "devDependencies": {
     "@jest/globals": "^29.5.0",
-    "@langchain/scripts": "^0.0.22",
+    "@langchain/scripts": "^0.0.23",
     "@swc/core": "^1.3.90",
     "@swc/jest": "^0.2.29",
     "@tsconfig/recommended": "^1.0.3",
diff --git a/libs/langchain-azure-openai/package.json b/libs/langchain-azure-openai/package.json
index 0899a8d8b698..26631a07a7d8 100644
--- a/libs/langchain-azure-openai/package.json
+++ b/libs/langchain-azure-openai/package.json
@@ -41,7 +41,7 @@
   "devDependencies": {
     "@azure/identity": "^4.2.1",
     "@jest/globals": "^29.5.0",
-    "@langchain/scripts": "^0.0.22",
+    "@langchain/scripts": "^0.0.23",
     "@langchain/standard-tests": "0.0.0",
     "@swc/core": "^1.3.90",
     "@swc/jest": "^0.2.29",
diff --git a/libs/langchain-baidu-qianfan/package.json b/libs/langchain-baidu-qianfan/package.json
index 3fa2d51c7627..50d9b678f926 100644
--- a/libs/langchain-baidu-qianfan/package.json
+++ b/libs/langchain-baidu-qianfan/package.json
@@ -40,7 +40,7 @@
   "devDependencies": {
     "@jest/globals": "^29.5.0",
     "@langchain/openai": "~0.1.0",
-    "@langchain/scripts": "^0.0.22",
+    "@langchain/scripts": "^0.0.23",
     "@swc/core": "^1.3.90",
     "@swc/jest": "^0.2.29",
     "@tsconfig/recommended": "^1.0.3",
diff --git a/libs/langchain-cloudflare/package.json b/libs/langchain-cloudflare/package.json
index 7633679dde7d..45bd5752740e 100644
--- a/libs/langchain-cloudflare/package.json
+++ b/libs/langchain-cloudflare/package.json
@@ -43,7 +43,7 @@
     "@cloudflare/workers-types": "^4.20231218.0",
     "@jest/globals": "^29.5.0",
     "@langchain/langgraph": "~0.0.31",
-    "@langchain/scripts": "^0.0.22",
+    "@langchain/scripts": "^0.0.23",
     "@langchain/standard-tests": "0.0.0",
     "@swc/core": "^1.3.90",
     "@swc/jest": "^0.2.29",
diff --git a/libs/langchain-cohere/package.json b/libs/langchain-cohere/package.json
index 436b0c776b87..634afa79e05a 100644
--- a/libs/langchain-cohere/package.json
+++ b/libs/langchain-cohere/package.json
@@ -43,7 +43,7 @@
   },
   "devDependencies": {
     "@jest/globals": "^29.5.0",
-    "@langchain/scripts": "^0.0.22",
+    "@langchain/scripts": "^0.0.23",
     "@langchain/standard-tests": "0.0.0",
     "@swc/core": "^1.3.90",
     "@swc/jest": "^0.2.29",
diff --git a/libs/langchain-community/package.json b/libs/langchain-community/package.json
index 63e8945eea79..697618778bf8 100644
--- a/libs/langchain-community/package.json
+++ b/libs/langchain-community/package.json
@@ -79,7 +79,7 @@
     "@huggingface/inference": "^2.6.4",
     "@jest/globals": "^29.5.0",
     "@langchain/langgraph": "<0.1.0",
-    "@langchain/scripts": "^0.0.22",
+    "@langchain/scripts": "^0.0.23",
     "@langchain/standard-tests": "0.0.0",
     "@layerup/layerup-security": "^1.5.12",
     "@mendable/firecrawl-js": "^0.0.36",
diff --git a/libs/langchain-exa/package.json b/libs/langchain-exa/package.json
index 7144cbab2ae9..6f112e3223a1 100644
--- a/libs/langchain-exa/package.json
+++ b/libs/langchain-exa/package.json
@@ -45,7 +45,7 @@
   },
   "devDependencies": {
     "@jest/globals": "^29.5.0",
-    "@langchain/scripts": "^0.0.22",
+    "@langchain/scripts": "^0.0.23",
     "@swc/core": "^1.3.90",
     "@swc/jest": "^0.2.29",
     "@tsconfig/recommended": "^1.0.3",
diff --git a/libs/langchain-google-common/package.json b/libs/langchain-google-common/package.json
index 6fad85806da3..0d96e938a1db 100644
--- a/libs/langchain-google-common/package.json
+++ b/libs/langchain-google-common/package.json
@@ -46,7 +46,7 @@
   },
   "devDependencies": {
     "@jest/globals": "^29.5.0",
-    "@langchain/scripts": "^0.0.22",
+    "@langchain/scripts": "^0.0.23",
     "@swc/core": "^1.3.90",
     "@swc/jest": "^0.2.29",
     "@tsconfig/recommended": "^1.0.3",
diff --git a/libs/langchain-google-gauth/package.json b/libs/langchain-google-gauth/package.json
index b4e6b33e2ec2..0fea7767dba0 100644
--- a/libs/langchain-google-gauth/package.json
+++ b/libs/langchain-google-gauth/package.json
@@ -41,7 +41,7 @@
   },
   "devDependencies": {
     "@jest/globals": "^29.5.0",
-    "@langchain/scripts": "^0.0.22",
+    "@langchain/scripts": "^0.0.23",
     "@swc/core": "^1.3.90",
     "@swc/jest": "^0.2.29",
     "@tsconfig/recommended": "^1.0.3",
diff --git a/libs/langchain-google-genai/package.json b/libs/langchain-google-genai/package.json
index ac6bbda0e9c2..dd54061733df 100644
--- a/libs/langchain-google-genai/package.json
+++ b/libs/langchain-google-genai/package.json
@@ -41,7 +41,7 @@
   },
   "devDependencies": {
     "@jest/globals": "^29.5.0",
-    "@langchain/scripts": "^0.0.22",
+    "@langchain/scripts": "^0.0.23",
     "@langchain/standard-tests": "0.0.0",
     "@swc/core": "^1.3.90",
     "@swc/jest": "^0.2.29",
diff --git a/libs/langchain-google-vertexai-web/package.json b/libs/langchain-google-vertexai-web/package.json
index f63b59e797fd..13fec9df09b7 100644
--- a/libs/langchain-google-vertexai-web/package.json
+++ b/libs/langchain-google-vertexai-web/package.json
@@ -46,7 +46,7 @@
   "devDependencies": {
     "@jest/globals": "^29.5.0",
     "@langchain/google-common": "~0.0",
-    "@langchain/scripts": "^0.0.22",
+    "@langchain/scripts": "^0.0.23",
     "@langchain/standard-tests": "0.0.0",
     "@swc/core": "^1.3.90",
     "@swc/jest": "^0.2.29",
diff --git a/libs/langchain-google-vertexai/package.json b/libs/langchain-google-vertexai/package.json
index 92f98bb8db0c..5a0faf98f3b7 100644
--- a/libs/langchain-google-vertexai/package.json
+++ b/libs/langchain-google-vertexai/package.json
@@ -49,7 +49,7 @@
   "devDependencies": {
     "@jest/globals": "^29.5.0",
     "@langchain/google-common": "~0.0",
-    "@langchain/scripts": "^0.0.22",
+    "@langchain/scripts": "^0.0.23",
     "@langchain/standard-tests": "0.0.0",
     "@swc/core": "^1.3.90",
     "@swc/jest": "^0.2.29",
diff --git a/libs/langchain-google-webauth/package.json b/libs/langchain-google-webauth/package.json
index 4e2d1072a0ad..e427d62c0ddd 100644
--- a/libs/langchain-google-webauth/package.json
+++ b/libs/langchain-google-webauth/package.json
@@ -46,7 +46,7 @@
   },
   "devDependencies": {
     "@jest/globals": "^29.5.0",
-    "@langchain/scripts": "^0.0.22",
+    "@langchain/scripts": "^0.0.23",
     "@swc/core": "^1.3.90",
     "@swc/jest": "^0.2.29",
     "@tsconfig/recommended": "^1.0.3",
diff --git a/libs/langchain-groq/package.json b/libs/langchain-groq/package.json
index f2648b4f3a9e..42c79b7b73fd 100644
--- a/libs/langchain-groq/package.json
+++ b/libs/langchain-groq/package.json
@@ -44,7 +44,7 @@
   "devDependencies": {
     "@jest/globals": "^29.5.0",
     "@langchain/openai": "workspace:^",
-    "@langchain/scripts": "^0.0.22",
+    "@langchain/scripts": "^0.0.23",
     "@langchain/standard-tests": "0.0.0",
     "@swc/core": "^1.3.90",
     "@swc/jest": "^0.2.29",
diff --git a/libs/langchain-mistralai/package.json b/libs/langchain-mistralai/package.json
index 121e9f21092c..c92f0fa42432 100644
--- a/libs/langchain-mistralai/package.json
+++ b/libs/langchain-mistralai/package.json
@@ -43,7 +43,7 @@
   },
   "devDependencies": {
     "@jest/globals": "^29.5.0",
-    "@langchain/scripts": "^0.0.22",
+    "@langchain/scripts": "^0.0.23",
     "@langchain/standard-tests": "0.0.0",
     "@swc/core": "^1.3.90",
     "@swc/jest": "^0.2.29",
diff --git a/libs/langchain-mixedbread-ai/package.json b/libs/langchain-mixedbread-ai/package.json
index 5317646d976c..68d207ac8877 100644
--- a/libs/langchain-mixedbread-ai/package.json
+++ b/libs/langchain-mixedbread-ai/package.json
@@ -40,7 +40,7 @@
   },
   "devDependencies": {
     "@jest/globals": "^29.5.0",
-    "@langchain/scripts": "^0.0.22",
+    "@langchain/scripts": "^0.0.23",
     "@langchain/standard-tests": "0.0.0",
     "@swc/core": "^1.3.90",
     "@swc/jest": "^0.2.29",
diff --git a/libs/langchain-mongodb/package.json b/libs/langchain-mongodb/package.json
index 91c26fb525d1..cd526c859df5 100644
--- a/libs/langchain-mongodb/package.json
+++ b/libs/langchain-mongodb/package.json
@@ -46,7 +46,7 @@
   "devDependencies": {
     "@jest/globals": "^29.5.0",
     "@langchain/openai": "workspace:*",
-    "@langchain/scripts": "^0.0.22",
+    "@langchain/scripts": "^0.0.23",
     "@swc/core": "^1.3.90",
     "@swc/jest": "^0.2.29",
     "@tsconfig/recommended": "^1.0.3",
diff --git a/libs/langchain-nomic/package.json b/libs/langchain-nomic/package.json
index 2168b199c976..76daa46b574b 100644
--- a/libs/langchain-nomic/package.json
+++ b/libs/langchain-nomic/package.json
@@ -46,7 +46,7 @@
   "devDependencies": {
     "@jest/globals": "^29.5.0",
     "@langchain/openai": "workspace:^",
-    "@langchain/scripts": "^0.0.22",
+    "@langchain/scripts": "^0.0.23",
     "@swc/core": "^1.3.90",
     "@swc/jest": "^0.2.29",
     "@tsconfig/recommended": "^1.0.3",
diff --git a/libs/langchain-ollama/package.json b/libs/langchain-ollama/package.json
index c008be49ca9c..88d5c74d7917 100644
--- a/libs/langchain-ollama/package.json
+++ b/libs/langchain-ollama/package.json
@@ -41,7 +41,7 @@
   },
   "devDependencies": {
     "@jest/globals": "^29.5.0",
-    "@langchain/scripts": "^0.0.22",
+    "@langchain/scripts": "^0.0.23",
     "@langchain/standard-tests": "0.0.0",
     "@swc/core": "^1.3.90",
     "@swc/jest": "^0.2.29",
diff --git a/libs/langchain-openai/package.json b/libs/langchain-openai/package.json
index 738b6a76e84e..4ba163dd8703 100644
--- a/libs/langchain-openai/package.json
+++ b/libs/langchain-openai/package.json
@@ -44,7 +44,7 @@
   "devDependencies": {
     "@azure/identity": "^4.2.1",
     "@jest/globals": "^29.5.0",
-    "@langchain/scripts": "^0.0.22",
+    "@langchain/scripts": "^0.0.23",
     "@langchain/standard-tests": "0.0.0",
     "@swc/core": "^1.3.90",
     "@swc/jest": "^0.2.29",
diff --git a/libs/langchain-pinecone/package.json b/libs/langchain-pinecone/package.json
index 12cc7eaec7ba..702a8ff3d590 100644
--- a/libs/langchain-pinecone/package.json
+++ b/libs/langchain-pinecone/package.json
@@ -48,7 +48,7 @@
     "@faker-js/faker": "^8.3.1",
     "@jest/globals": "^29.5.0",
     "@langchain/openai": "workspace:*",
-    "@langchain/scripts": "^0.0.22",
+    "@langchain/scripts": "^0.0.23",
     "@swc/core": "^1.3.90",
     "@swc/jest": "^0.2.29",
     "@tsconfig/recommended": "^1.0.3",
diff --git a/libs/langchain-qdrant/package.json b/libs/langchain-qdrant/package.json
index a8bd1aefa31e..40548cfe9e44 100644
--- a/libs/langchain-qdrant/package.json
+++ b/libs/langchain-qdrant/package.json
@@ -46,7 +46,7 @@
   "devDependencies": {
     "@faker-js/faker": "^8.4.1",
     "@jest/globals": "^29.5.0",
-    "@langchain/scripts": "^0.0.22",
+    "@langchain/scripts": "^0.0.23",
     "@swc/core": "^1.3.90",
     "@swc/jest": "^0.2.29",
     "@tsconfig/recommended": "^1.0.3",
diff --git a/libs/langchain-redis/package.json b/libs/langchain-redis/package.json
index 1903dead9b03..fda7d74d59a6 100644
--- a/libs/langchain-redis/package.json
+++ b/libs/langchain-redis/package.json
@@ -45,7 +45,7 @@
   "devDependencies": {
     "@faker-js/faker": "^8.4.0",
     "@jest/globals": "^29.5.0",
-    "@langchain/scripts": "^0.0.22",
+    "@langchain/scripts": "^0.0.23",
     "@swc/core": "^1.3.90",
     "@swc/jest": "^0.2.29",
     "@tsconfig/recommended": "^1.0.3",
diff --git a/libs/langchain-scripts/package.json b/libs/langchain-scripts/package.json
index 16bd6973c053..bd069a48e35f 100644
--- a/libs/langchain-scripts/package.json
+++ b/libs/langchain-scripts/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/scripts",
-  "version": "0.0.22",
+  "version": "0.0.23",
   "description": "Shared scripts for LangChain.js",
   "type": "module",
   "engines": {
diff --git a/libs/langchain-textsplitters/package.json b/libs/langchain-textsplitters/package.json
index a610b2ac5823..65869485c723 100644
--- a/libs/langchain-textsplitters/package.json
+++ b/libs/langchain-textsplitters/package.json
@@ -44,7 +44,7 @@
   },
   "devDependencies": {
     "@jest/globals": "^29.5.0",
-    "@langchain/scripts": "^0.0.22",
+    "@langchain/scripts": "^0.0.23",
     "@swc/core": "^1.3.90",
     "@swc/jest": "^0.2.29",
     "@tsconfig/recommended": "^1.0.3",
diff --git a/libs/langchain-weaviate/package.json b/libs/langchain-weaviate/package.json
index 7ad79c6a7984..521f99b02a31 100644
--- a/libs/langchain-weaviate/package.json
+++ b/libs/langchain-weaviate/package.json
@@ -47,7 +47,7 @@
   "devDependencies": {
     "@jest/globals": "^29.5.0",
     "@langchain/openai": "workspace:^",
-    "@langchain/scripts": "^0.0.22",
+    "@langchain/scripts": "^0.0.23",
     "@swc/core": "^1.3.90",
     "@swc/jest": "^0.2.29",
     "@tsconfig/recommended": "^1.0.3",
diff --git a/libs/langchain-yandex/package.json b/libs/langchain-yandex/package.json
index b194e416265d..21e3cf3eb257 100644
--- a/libs/langchain-yandex/package.json
+++ b/libs/langchain-yandex/package.json
@@ -44,7 +44,7 @@
   },
   "devDependencies": {
     "@jest/globals": "^29.5.0",
-    "@langchain/scripts": "^0.0.22",
+    "@langchain/scripts": "^0.0.23",
     "@swc/core": "^1.3.90",
     "@swc/jest": "^0.2.29",
     "@tsconfig/recommended": "^1.0.3",
diff --git a/yarn.lock b/yarn.lock
index 9b54943d05c5..b883767ca2e9 100644
--- a/yarn.lock
+++ b/yarn.lock
@@ -10854,7 +10854,7 @@ __metadata:
     "@anthropic-ai/sdk": ^0.25.2
     "@jest/globals": ^29.5.0
     "@langchain/core": ">=0.2.21 <0.3.0"
-    "@langchain/scripts": ^0.0.22
+    "@langchain/scripts": ^0.0.23
     "@langchain/standard-tests": 0.0.0
     "@swc/core": ^1.3.90
     "@swc/jest": ^0.2.29
@@ -10904,7 +10904,7 @@ __metadata:
     "@aws-sdk/types": ^3.609.0
     "@jest/globals": ^29.5.0
     "@langchain/core": ">=0.2.21 <0.3.0"
-    "@langchain/scripts": ^0.0.22
+    "@langchain/scripts": ^0.0.23
     "@langchain/standard-tests": 0.0.0
     "@smithy/types": ^3.2.0
     "@swc/core": ^1.3.90
@@ -10973,7 +10973,7 @@ __metadata:
     "@azure/identity": ^4.2.1
     "@jest/globals": ^29.5.0
     "@langchain/core": ~0.2
-    "@langchain/scripts": ^0.0.22
+    "@langchain/scripts": ^0.0.23
     "@swc/core": ^1.3.90
     "@swc/jest": ^0.2.29
     "@tsconfig/recommended": ^1.0.3
@@ -11008,7 +11008,7 @@ __metadata:
     "@azure/openai": 1.0.0-beta.11
     "@jest/globals": ^29.5.0
     "@langchain/core": ">0.1.0 <0.3.0"
-    "@langchain/scripts": ^0.0.22
+    "@langchain/scripts": ^0.0.23
     "@langchain/standard-tests": 0.0.0
     "@swc/core": ^1.3.90
     "@swc/jest": ^0.2.29
@@ -11040,7 +11040,7 @@ __metadata:
     "@jest/globals": ^29.5.0
     "@langchain/core": ">0.1.56 <0.3.0"
     "@langchain/openai": ~0.1.0
-    "@langchain/scripts": ^0.0.22
+    "@langchain/scripts": ^0.0.23
     "@swc/core": ^1.3.90
     "@swc/jest": ^0.2.29
     "@tsconfig/recommended": ^1.0.3
@@ -11076,7 +11076,7 @@ __metadata:
     "@jest/globals": ^29.5.0
     "@langchain/core": ">0.1.0 <0.3.0"
     "@langchain/langgraph": ~0.0.31
-    "@langchain/scripts": ^0.0.22
+    "@langchain/scripts": ^0.0.23
     "@langchain/standard-tests": 0.0.0
     "@swc/core": ^1.3.90
     "@swc/jest": ^0.2.29
@@ -11114,7 +11114,7 @@ __metadata:
   dependencies:
     "@jest/globals": ^29.5.0
     "@langchain/core": ">=0.2.21 <0.3.0"
-    "@langchain/scripts": ^0.0.22
+    "@langchain/scripts": ^0.0.23
     "@langchain/standard-tests": 0.0.0
     "@swc/core": ^1.3.90
     "@swc/jest": ^0.2.29
@@ -11181,7 +11181,7 @@ __metadata:
     "@langchain/core": ">=0.2.21 <0.3.0"
     "@langchain/langgraph": <0.1.0
     "@langchain/openai": ">=0.2.0 <0.3.0"
-    "@langchain/scripts": ^0.0.22
+    "@langchain/scripts": ^0.0.23
     "@langchain/standard-tests": 0.0.0
     "@layerup/layerup-security": ^1.5.12
     "@mendable/firecrawl-js": ^0.0.36
@@ -11692,7 +11692,7 @@ __metadata:
   resolution: "@langchain/core@workspace:langchain-core"
   dependencies:
     "@jest/globals": ^29.5.0
-    "@langchain/scripts": ^0.0.22
+    "@langchain/scripts": ^0.0.23
     "@swc/core": ^1.3.90
     "@swc/jest": ^0.2.29
     "@types/decamelize": ^1.2.0
@@ -11734,7 +11734,7 @@ __metadata:
   dependencies:
     "@jest/globals": ^29.5.0
     "@langchain/core": ">0.1.0 <0.3.0"
-    "@langchain/scripts": ^0.0.22
+    "@langchain/scripts": ^0.0.23
     "@swc/core": ^1.3.90
     "@swc/jest": ^0.2.29
     "@tsconfig/recommended": ^1.0.3
@@ -11766,7 +11766,7 @@ __metadata:
   dependencies:
     "@jest/globals": ^29.5.0
     "@langchain/core": ">=0.2.21 <0.3.0"
-    "@langchain/scripts": ^0.0.22
+    "@langchain/scripts": ^0.0.23
     "@swc/core": ^1.3.90
     "@swc/jest": ^0.2.29
     "@tsconfig/recommended": ^1.0.3
@@ -11800,7 +11800,7 @@ __metadata:
     "@jest/globals": ^29.5.0
     "@langchain/core": ">=0.2.21 <0.3.0"
     "@langchain/google-common": ~0.0.26
-    "@langchain/scripts": ^0.0.22
+    "@langchain/scripts": ^0.0.23
     "@swc/core": ^1.3.90
     "@swc/jest": ^0.2.29
     "@tsconfig/recommended": ^1.0.3
@@ -11833,7 +11833,7 @@ __metadata:
     "@google/generative-ai": ^0.7.0
     "@jest/globals": ^29.5.0
     "@langchain/core": ">=0.2.21 <0.3.0"
-    "@langchain/scripts": ^0.0.22
+    "@langchain/scripts": ^0.0.23
     "@langchain/standard-tests": 0.0.0
     "@swc/core": ^1.3.90
     "@swc/jest": ^0.2.29
@@ -11869,7 +11869,7 @@ __metadata:
     "@langchain/core": ">=0.2.21 <0.3.0"
     "@langchain/google-common": ~0.0
     "@langchain/google-webauth": ~0.0.26
-    "@langchain/scripts": ^0.0.22
+    "@langchain/scripts": ^0.0.23
     "@langchain/standard-tests": 0.0.0
     "@swc/core": ^1.3.90
     "@swc/jest": ^0.2.29
@@ -11903,7 +11903,7 @@ __metadata:
     "@langchain/core": ">=0.2.21 <0.3.0"
     "@langchain/google-common": ~0.0
     "@langchain/google-gauth": ~0.0.26
-    "@langchain/scripts": ^0.0.22
+    "@langchain/scripts": ^0.0.23
     "@langchain/standard-tests": 0.0.0
     "@swc/core": ^1.3.90
     "@swc/jest": ^0.2.29
@@ -11936,7 +11936,7 @@ __metadata:
     "@jest/globals": ^29.5.0
     "@langchain/core": ">=0.2.21 <0.3.0"
     "@langchain/google-common": ~0.0.26
-    "@langchain/scripts": ^0.0.22
+    "@langchain/scripts": ^0.0.23
     "@swc/core": ^1.3.90
     "@swc/jest": ^0.2.29
     "@tsconfig/recommended": ^1.0.3
@@ -11981,7 +11981,7 @@ __metadata:
     "@jest/globals": ^29.5.0
     "@langchain/core": ">=0.2.21 <0.3.0"
     "@langchain/openai": "workspace:^"
-    "@langchain/scripts": ^0.0.22
+    "@langchain/scripts": ^0.0.23
     "@langchain/standard-tests": 0.0.0
     "@swc/core": ^1.3.90
     "@swc/jest": ^0.2.29
@@ -12077,7 +12077,7 @@ __metadata:
   dependencies:
     "@jest/globals": ^29.5.0
     "@langchain/core": ">=0.2.21 <0.3.0"
-    "@langchain/scripts": ^0.0.22
+    "@langchain/scripts": ^0.0.23
     "@langchain/standard-tests": 0.0.0
     "@mistralai/mistralai": ^1.1.0
     "@swc/core": ^1.3.90
@@ -12112,7 +12112,7 @@ __metadata:
   dependencies:
     "@jest/globals": ^29.5.0
     "@langchain/core": ">=0.2.5 <0.3.0"
-    "@langchain/scripts": ^0.0.22
+    "@langchain/scripts": ^0.0.23
     "@langchain/standard-tests": 0.0.0
     "@mixedbread-ai/sdk": ^2.2.3
     "@swc/core": ^1.3.90
@@ -12146,7 +12146,7 @@ __metadata:
     "@jest/globals": ^29.5.0
     "@langchain/core": ">0.1.0 <0.3.0"
     "@langchain/openai": "workspace:*"
-    "@langchain/scripts": ^0.0.22
+    "@langchain/scripts": ^0.0.23
     "@swc/core": ^1.3.90
     "@swc/jest": ^0.2.29
     "@tsconfig/recommended": ^1.0.3
@@ -12180,7 +12180,7 @@ __metadata:
     "@jest/globals": ^29.5.0
     "@langchain/core": ">0.1.0 <0.3.0"
     "@langchain/openai": "workspace:^"
-    "@langchain/scripts": ^0.0.22
+    "@langchain/scripts": ^0.0.23
     "@nomic-ai/atlas": ^0.8.0
     "@swc/core": ^1.3.90
     "@swc/jest": ^0.2.29
@@ -12223,7 +12223,7 @@ __metadata:
   dependencies:
     "@jest/globals": ^29.5.0
     "@langchain/core": ">=0.2.21 <0.3.0"
-    "@langchain/scripts": ^0.0.22
+    "@langchain/scripts": ^0.0.23
     "@langchain/standard-tests": 0.0.0
     "@swc/core": ^1.3.90
     "@swc/jest": ^0.2.29
@@ -12259,7 +12259,7 @@ __metadata:
     "@azure/identity": ^4.2.1
     "@jest/globals": ^29.5.0
     "@langchain/core": ">=0.2.26 <0.3.0"
-    "@langchain/scripts": ^0.0.22
+    "@langchain/scripts": ^0.0.23
     "@langchain/standard-tests": 0.0.0
     "@swc/core": ^1.3.90
     "@swc/jest": ^0.2.29
@@ -12306,7 +12306,7 @@ __metadata:
     "@jest/globals": ^29.5.0
     "@langchain/core": ">0.2.0 <0.3.0"
     "@langchain/openai": "workspace:*"
-    "@langchain/scripts": ^0.0.22
+    "@langchain/scripts": ^0.0.23
     "@pinecone-database/pinecone": ^3.0.0
     "@swc/core": ^1.3.90
     "@swc/jest": ^0.2.29
@@ -12341,7 +12341,7 @@ __metadata:
     "@faker-js/faker": ^8.4.1
     "@jest/globals": ^29.5.0
     "@langchain/core": ">0.1.0 <0.3.0"
-    "@langchain/scripts": ^0.0.22
+    "@langchain/scripts": ^0.0.23
     "@qdrant/js-client-rest": ^1.9.0
     "@swc/core": ^1.3.90
     "@swc/jest": ^0.2.29
@@ -12375,7 +12375,7 @@ __metadata:
     "@faker-js/faker": ^8.4.0
     "@jest/globals": ^29.5.0
     "@langchain/core": ">0.1.0 <0.3.0"
-    "@langchain/scripts": ^0.0.22
+    "@langchain/scripts": ^0.0.23
     "@swc/core": ^1.3.90
     "@swc/jest": ^0.2.29
     "@tsconfig/recommended": ^1.0.3
@@ -12402,7 +12402,7 @@ __metadata:
   languageName: unknown
   linkType: soft
 
-"@langchain/scripts@^0.0.22, @langchain/scripts@workspace:*, @langchain/scripts@workspace:libs/langchain-scripts, @langchain/scripts@~0.0":
+"@langchain/scripts@^0.0.23, @langchain/scripts@workspace:*, @langchain/scripts@workspace:libs/langchain-scripts, @langchain/scripts@~0.0":
   version: 0.0.0-use.local
   resolution: "@langchain/scripts@workspace:libs/langchain-scripts"
   dependencies:
@@ -12482,7 +12482,7 @@ __metadata:
   dependencies:
     "@jest/globals": ^29.5.0
     "@langchain/core": ">0.2.0 <0.3.0"
-    "@langchain/scripts": ^0.0.22
+    "@langchain/scripts": ^0.0.23
     "@swc/core": ^1.3.90
     "@swc/jest": ^0.2.29
     "@tsconfig/recommended": ^1.0.3
@@ -12514,7 +12514,7 @@ __metadata:
     "@jest/globals": ^29.5.0
     "@langchain/core": ">0.2.0 <0.3.0"
     "@langchain/openai": "workspace:^"
-    "@langchain/scripts": ^0.0.22
+    "@langchain/scripts": ^0.0.23
     "@swc/core": ^1.3.90
     "@swc/jest": ^0.2.29
     "@tsconfig/recommended": ^1.0.3
@@ -12548,7 +12548,7 @@ __metadata:
   dependencies:
     "@jest/globals": ^29.5.0
     "@langchain/core": ">0.1.0  <0.3.0"
-    "@langchain/scripts": ^0.0.22
+    "@langchain/scripts": ^0.0.23
     "@swc/core": ^1.3.90
     "@swc/jest": ^0.2.29
     "@tsconfig/recommended": ^1.0.3
@@ -26693,7 +26693,7 @@ __metadata:
     "@langchain/pinecone": "workspace:*"
     "@langchain/qdrant": "workspace:*"
     "@langchain/redis": "workspace:*"
-    "@langchain/scripts": ^0.0.22
+    "@langchain/scripts": ^0.0.23
     "@langchain/textsplitters": "workspace:*"
     "@langchain/weaviate": "workspace:*"
     "@langchain/yandex": "workspace:*"
@@ -32058,7 +32058,7 @@ __metadata:
     "@langchain/mistralai": ^0.0.26
     "@langchain/ollama": ^0.0.2
     "@langchain/openai": ">=0.1.0 <0.3.0"
-    "@langchain/scripts": ^0.0.22
+    "@langchain/scripts": ^0.0.23
     "@langchain/textsplitters": ~0.0.0
     "@mendable/firecrawl-js": ^0.0.13
     "@notionhq/client": ^2.2.10

From 7534d46e33f47d12d59c3c9599bfa9b3612e9a04 Mon Sep 17 00:00:00 2001
From: Brace Sproul <braceasproul@gmail.com>
Date: Thu, 22 Aug 2024 10:02:23 -0700
Subject: [PATCH 072/344] docs[patch]: LangSmith doc loader nits (#6590)

---
 docs/core_docs/.gitignore                     | 46 ++++++++++---------
 .../document_loaders/web_loaders/index.mdx    |  2 +-
 .../web_loaders/langsmith.ipynb               |  8 +---
 3 files changed, 27 insertions(+), 29 deletions(-)

diff --git a/docs/core_docs/.gitignore b/docs/core_docs/.gitignore
index c2737d8dfe94..39187a290670 100644
--- a/docs/core_docs/.gitignore
+++ b/docs/core_docs/.gitignore
@@ -166,6 +166,8 @@ docs/how_to/extraction_long_text.md
 docs/how_to/extraction_long_text.mdx
 docs/how_to/extraction_examples.md
 docs/how_to/extraction_examples.mdx
+docs/how_to/example_selectors_langsmith.md
+docs/how_to/example_selectors_langsmith.mdx
 docs/how_to/example_selectors.md
 docs/how_to/example_selectors.mdx
 docs/how_to/document_loader_markdown.md
@@ -238,22 +240,18 @@ docs/integrations/vectorstores/elasticsearch.md
 docs/integrations/vectorstores/elasticsearch.mdx
 docs/integrations/vectorstores/chroma.md
 docs/integrations/vectorstores/chroma.mdx
-docs/integrations/tools/tavily_search.md
-docs/integrations/tools/tavily_search.mdx
-docs/integrations/tools/exa_search.md
-docs/integrations/tools/exa_search.mdx
-docs/integrations/tools/duckduckgo_search.md
-docs/integrations/tools/duckduckgo_search.mdx
 docs/integrations/toolkits/vectorstore.md
 docs/integrations/toolkits/vectorstore.mdx
 docs/integrations/toolkits/sql.md
 docs/integrations/toolkits/sql.mdx
 docs/integrations/toolkits/openapi.md
 docs/integrations/toolkits/openapi.mdx
-docs/integrations/stores/in_memory.md
-docs/integrations/stores/in_memory.mdx
-docs/integrations/stores/file_system.md
-docs/integrations/stores/file_system.mdx
+docs/integrations/tools/tavily_search.md
+docs/integrations/tools/tavily_search.mdx
+docs/integrations/tools/exa_search.md
+docs/integrations/tools/exa_search.mdx
+docs/integrations/tools/duckduckgo_search.md
+docs/integrations/tools/duckduckgo_search.mdx
 docs/integrations/text_embedding/togetherai.md
 docs/integrations/text_embedding/togetherai.mdx
 docs/integrations/text_embedding/openai.md
@@ -276,6 +274,10 @@ docs/integrations/text_embedding/bedrock.md
 docs/integrations/text_embedding/bedrock.mdx
 docs/integrations/text_embedding/azure_openai.md
 docs/integrations/text_embedding/azure_openai.mdx
+docs/integrations/stores/in_memory.md
+docs/integrations/stores/in_memory.mdx
+docs/integrations/stores/file_system.md
+docs/integrations/stores/file_system.mdx
 docs/integrations/retrievers/tavily.md
 docs/integrations/retrievers/tavily.mdx
 docs/integrations/retrievers/kendra-retriever.md
@@ -348,16 +350,6 @@ docs/integrations/retrievers/self_query/hnswlib.md
 docs/integrations/retrievers/self_query/hnswlib.mdx
 docs/integrations/retrievers/self_query/chroma.md
 docs/integrations/retrievers/self_query/chroma.mdx
-docs/integrations/document_loaders/web_loaders/web_puppeteer.md
-docs/integrations/document_loaders/web_loaders/web_puppeteer.mdx
-docs/integrations/document_loaders/web_loaders/web_cheerio.md
-docs/integrations/document_loaders/web_loaders/web_cheerio.mdx
-docs/integrations/document_loaders/web_loaders/recursive_url_loader.md
-docs/integrations/document_loaders/web_loaders/recursive_url_loader.mdx
-docs/integrations/document_loaders/web_loaders/pdf.md
-docs/integrations/document_loaders/web_loaders/pdf.mdx
-docs/integrations/document_loaders/web_loaders/firecrawl.md
-docs/integrations/document_loaders/web_loaders/firecrawl.mdx
 docs/integrations/document_loaders/file_loaders/unstructured.md
 docs/integrations/document_loaders/file_loaders/unstructured.mdx
 docs/integrations/document_loaders/file_loaders/text.md
@@ -367,4 +359,16 @@ docs/integrations/document_loaders/file_loaders/pdf.mdx
 docs/integrations/document_loaders/file_loaders/directory.md
 docs/integrations/document_loaders/file_loaders/directory.mdx
 docs/integrations/document_loaders/file_loaders/csv.md
-docs/integrations/document_loaders/file_loaders/csv.mdx
\ No newline at end of file
+docs/integrations/document_loaders/file_loaders/csv.mdx
+docs/integrations/document_loaders/web_loaders/web_puppeteer.md
+docs/integrations/document_loaders/web_loaders/web_puppeteer.mdx
+docs/integrations/document_loaders/web_loaders/web_cheerio.md
+docs/integrations/document_loaders/web_loaders/web_cheerio.mdx
+docs/integrations/document_loaders/web_loaders/recursive_url_loader.md
+docs/integrations/document_loaders/web_loaders/recursive_url_loader.mdx
+docs/integrations/document_loaders/web_loaders/pdf.md
+docs/integrations/document_loaders/web_loaders/pdf.mdx
+docs/integrations/document_loaders/web_loaders/langsmith.md
+docs/integrations/document_loaders/web_loaders/langsmith.mdx
+docs/integrations/document_loaders/web_loaders/firecrawl.md
+docs/integrations/document_loaders/web_loaders/firecrawl.mdx
\ No newline at end of file
diff --git a/docs/core_docs/docs/integrations/document_loaders/web_loaders/index.mdx b/docs/core_docs/docs/integrations/document_loaders/web_loaders/index.mdx
index e9978359f156..b319af708100 100644
--- a/docs/core_docs/docs/integrations/document_loaders/web_loaders/index.mdx
+++ b/docs/core_docs/docs/integrations/document_loaders/web_loaders/index.mdx
@@ -7,7 +7,7 @@ hide_table_of_contents: true
 
 These loaders are used to load web resources. They do not involve the local file system.
 
-import { CategoryTable, IndexTable } from "@theme/FeatureTables";
+import { IndexTable } from "@theme/FeatureTables";
 
 :::info
 If you'd like to write your own document loader, see [this how-to](/docs/how_to/document_loader_custom/). If you'd like to contribute an integration, see [Contributing integrations](/docs/contributing).
diff --git a/docs/core_docs/docs/integrations/document_loaders/web_loaders/langsmith.ipynb b/docs/core_docs/docs/integrations/document_loaders/web_loaders/langsmith.ipynb
index b7e536113685..8c622f091353 100644
--- a/docs/core_docs/docs/integrations/document_loaders/web_loaders/langsmith.ipynb
+++ b/docs/core_docs/docs/integrations/document_loaders/web_loaders/langsmith.ipynb
@@ -5,7 +5,7 @@
    "metadata": {},
    "source": [
     "---\n",
-    "sidebar_label: FireCrawl\n",
+    "sidebar_label: LangSmith\n",
     "\n",
     "---"
    ]
@@ -29,12 +29,6 @@
     "| :---: | :---: | :---: | \n",
     "| LangSmithLoader | ✅ | ❌ | \n",
     "\n",
-    "[FireCrawl](https://firecrawl.dev) crawls and convert any website into LLM-ready data. It crawls all accessible sub-pages and give you clean markdown and metadata for each. No sitemap required.\n",
-    "\n",
-    "FireCrawl handles complex tasks such as reverse proxies, caching, rate limits, and content blocked by JavaScript. Built by the [mendable.ai](https://mendable.ai) team.\n",
-    "\n",
-    "This guide shows how to scrap and crawl entire websites and load them using the `LangSmithLoader` in LangChain.\n",
-    "\n",
     "## Setup\n",
     "\n",
     "To access the LangSmith document loader you'll need to install `@langchain/core`, create a [LangSmith](https://langsmith.com/) account and get an API key.\n",

From 666911c4b1b7aeb93d9754423efcf1c68c163978 Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Thu, 22 Aug 2024 11:57:26 -0700
Subject: [PATCH 073/344] community[patch]: Relax LangGraph dep (#6596)

---
 libs/langchain-community/package.json         |  2 +-
 .../tests/checkpointer.int.test.ts            |  2 ++
 yarn.lock                                     | 20 +++++++++----------
 3 files changed, 13 insertions(+), 11 deletions(-)

diff --git a/libs/langchain-community/package.json b/libs/langchain-community/package.json
index 697618778bf8..39547db6b2db 100644
--- a/libs/langchain-community/package.json
+++ b/libs/langchain-community/package.json
@@ -78,7 +78,7 @@
     "@gradientai/nodejs-sdk": "^1.2.0",
     "@huggingface/inference": "^2.6.4",
     "@jest/globals": "^29.5.0",
-    "@langchain/langgraph": "<0.1.0",
+    "@langchain/langgraph": "*",
     "@langchain/scripts": "^0.0.23",
     "@langchain/standard-tests": "0.0.0",
     "@layerup/layerup-security": "^1.5.12",
diff --git a/libs/langchain-community/src/langgraph/checkpointers/tests/checkpointer.int.test.ts b/libs/langchain-community/src/langgraph/checkpointers/tests/checkpointer.int.test.ts
index 5037115f7e16..59596040080a 100644
--- a/libs/langchain-community/src/langgraph/checkpointers/tests/checkpointer.int.test.ts
+++ b/libs/langchain-community/src/langgraph/checkpointers/tests/checkpointer.int.test.ts
@@ -20,6 +20,7 @@ const checkpoint1: Checkpoint = {
       someKey4: 1,
     },
   },
+  pending_sends: [],
 };
 
 const checkpoint2: Checkpoint = {
@@ -37,6 +38,7 @@ const checkpoint2: Checkpoint = {
       someKey4: 2,
     },
   },
+  pending_sends: [],
 };
 
 describe("VercelKVSaver", () => {
diff --git a/yarn.lock b/yarn.lock
index b883767ca2e9..b3c68d9ab100 100644
--- a/yarn.lock
+++ b/yarn.lock
@@ -11179,7 +11179,7 @@ __metadata:
     "@huggingface/inference": ^2.6.4
     "@jest/globals": ^29.5.0
     "@langchain/core": ">=0.2.21 <0.3.0"
-    "@langchain/langgraph": <0.1.0
+    "@langchain/langgraph": "*"
     "@langchain/openai": ">=0.2.0 <0.3.0"
     "@langchain/scripts": ^0.0.23
     "@langchain/standard-tests": 0.0.0
@@ -12010,11 +12010,11 @@ __metadata:
   languageName: unknown
   linkType: soft
 
-"@langchain/langgraph@npm:0.0.28, @langchain/langgraph@npm:^0.0.28":
-  version: 0.0.28
-  resolution: "@langchain/langgraph@npm:0.0.28"
+"@langchain/langgraph@npm:*":
+  version: 0.0.34
+  resolution: "@langchain/langgraph@npm:0.0.34"
   dependencies:
-    "@langchain/core": ">=0.2.16 <0.3.0"
+    "@langchain/core": ">=0.2.20 <0.3.0"
     uuid: ^10.0.0
     zod: ^3.23.8
   peerDependencies:
@@ -12022,13 +12022,13 @@ __metadata:
   peerDependenciesMeta:
     better-sqlite3:
       optional: true
-  checksum: 1465791026ccd6eaa13a2f2d03b8fb9f0972a8c23b9da1cfd581074f413ea60ef860de6d704c6a3b49f7425f23d6ba49c23255167ae83ab7d70dc00cc0560ce2
+  checksum: efa3c6b4eb40fdeb696531fe63f1f8e2b5d23b7adfc9404103cc9265db4aab6caee7de9ba1e01e14f2765d98a8b536bfbc473795543b0314e84c72b3b349a258
   languageName: node
   linkType: hard
 
-"@langchain/langgraph@npm:<0.1.0":
-  version: 0.0.29
-  resolution: "@langchain/langgraph@npm:0.0.29"
+"@langchain/langgraph@npm:0.0.28, @langchain/langgraph@npm:^0.0.28":
+  version: 0.0.28
+  resolution: "@langchain/langgraph@npm:0.0.28"
   dependencies:
     "@langchain/core": ">=0.2.16 <0.3.0"
     uuid: ^10.0.0
@@ -12038,7 +12038,7 @@ __metadata:
   peerDependenciesMeta:
     better-sqlite3:
       optional: true
-  checksum: 5a5ed8106efb7b623c26537d7dcb3762b86fdeb2004ebd3dbbe79c6036da318a2bebe904730a7d5376b78d0e03e523e31070824899716d1fa583bed1d05c14e4
+  checksum: 1465791026ccd6eaa13a2f2d03b8fb9f0972a8c23b9da1cfd581074f413ea60ef860de6d704c6a3b49f7425f23d6ba49c23255167ae83ab7d70dc00cc0560ce2
   languageName: node
   linkType: hard
 

From a0fbf45c4bb6b17d515ec78cdd4b9f331eb2bd8c Mon Sep 17 00:00:00 2001
From: Brace Sproul <braceasproul@gmail.com>
Date: Thu, 22 Aug 2024 12:59:41 -0700
Subject: [PATCH 074/344] scripts[minor]infra[patch]: Remove deprecated build
 script (#6595)

---
 langchain-core/package.json                   |  12 +-
 langchain/package.json                        |  12 +-
 .../template/package.json                     |  11 +-
 libs/langchain-anthropic/package.json         |   2 +-
 libs/langchain-aws/package.json               |  11 +-
 libs/langchain-azure-cosmosdb/package.json    |  14 +-
 .../package.json                              |  14 +-
 libs/langchain-azure-openai/package.json      |   2 +-
 libs/langchain-baidu-qianfan/package.json     |   2 +-
 libs/langchain-cloudflare/package.json        |   2 +-
 libs/langchain-cohere/package.json            |   2 +-
 libs/langchain-community/package.json         |   2 +-
 libs/langchain-exa/package.json               |  12 +-
 libs/langchain-google-common/package.json     |  20 +-
 libs/langchain-google-gauth/package.json      |   2 +-
 libs/langchain-google-genai/package.json      |   2 +-
 .../package.json                              |  12 +-
 libs/langchain-google-vertexai/package.json   |  15 +-
 libs/langchain-google-webauth/package.json    |  20 +-
 libs/langchain-groq/package.json              |   2 +-
 libs/langchain-mistralai/package.json         |   2 +-
 libs/langchain-mixedbread-ai/package.json     |   2 +-
 libs/langchain-mongodb/package.json           |  12 +-
 libs/langchain-nomic/package.json             |  12 +-
 libs/langchain-ollama/package.json            |   7 +-
 libs/langchain-openai/package.json            |   2 +-
 libs/langchain-pinecone/package.json          |  11 +-
 libs/langchain-qdrant/package.json            |  11 +-
 libs/langchain-redis/package.json             |  11 +-
 libs/langchain-scripts/bin/build.js           | 912 +-----------------
 libs/langchain-scripts/bin/build_v2.js        |   1 -
 libs/langchain-scripts/langchain.config.js    |   2 +-
 libs/langchain-scripts/package.json           |   7 +-
 libs/langchain-scripts/src/build.ts           | 121 ---
 .../src/{build_v2.ts => build/index.ts}       |  81 +-
 .../src/{ => build}/utils.ts                  |   2 +-
 .../src/check-tree-shaking.ts                 | 122 ---
 .../src/create-entrypoints.ts                 | 385 --------
 .../langchain-scripts/src/identify-secrets.ts | 100 --
 .../langchain-scripts/src/move-cjs-to-dist.ts |  55 --
 .../src/tests/config_file.test.ts             |   2 +-
 libs/langchain-scripts/tsconfig.build.json    |   3 +-
 libs/langchain-standard-tests/package.json    |   2 +-
 libs/langchain-textsplitters/package.json     |  11 +-
 libs/langchain-weaviate/package.json          |  12 +-
 libs/langchain-yandex/package.json            |  12 +-
 yarn.lock                                     |   3 +-
 47 files changed, 119 insertions(+), 1955 deletions(-)
 delete mode 100755 libs/langchain-scripts/bin/build_v2.js
 delete mode 100644 libs/langchain-scripts/src/build.ts
 rename libs/langchain-scripts/src/{build_v2.ts => build/index.ts} (93%)
 rename libs/langchain-scripts/src/{ => build}/utils.ts (98%)
 delete mode 100644 libs/langchain-scripts/src/check-tree-shaking.ts
 delete mode 100644 libs/langchain-scripts/src/create-entrypoints.ts
 delete mode 100644 libs/langchain-scripts/src/identify-secrets.ts
 delete mode 100644 libs/langchain-scripts/src/move-cjs-to-dist.ts

diff --git a/langchain-core/package.json b/langchain-core/package.json
index 613cb1522b01..1307d14027b3 100644
--- a/langchain-core/package.json
+++ b/langchain-core/package.json
@@ -15,13 +15,8 @@
   "homepage": "https://github.com/langchain-ai/langchainjs/tree/main/langchain-core/",
   "scripts": {
     "build": "yarn turbo:command build:internal --filter=@langchain/core",
-    "build:internal": "yarn lc_build_v2 --create-entrypoints --pre --tree-shaking",
+    "build:internal": "yarn lc_build --create-entrypoints --pre --tree-shaking",
     "clean": "rm -rf .turbo dist/",
-    "build:deps": "yarn turbo build",
-    "build:esm": "NODE_OPTIONS=--max-old-space-size=4096 tsc --outDir dist/ && rimraf dist/tests dist/**/tests",
-    "build:cjs": "NODE_OPTIONS=--max-old-space-size=4096 tsc --outDir dist-cjs/ -p tsconfig.cjs.json && yarn move-cjs-to-dist && rimraf dist-cjs",
-    "build:watch": "yarn create-entrypoints && tsc --outDir dist/ --watch",
-    "build:scripts": "yarn create-entrypoints && yarn check-tree-shaking",
     "lint:eslint": "NODE_OPTIONS=--max-old-space-size=4096 eslint --cache --ext .ts,.js src/",
     "lint:dpdm": "dpdm --exit-code circular:1 --no-warning --no-tree src/*.ts src/**/*.ts",
     "lint": "yarn lint:eslint && yarn lint:dpdm",
@@ -33,10 +28,7 @@
     "test:watch": "NODE_OPTIONS=--experimental-vm-modules jest --watch --testPathIgnorePatterns=\\.int\\.test.ts",
     "test:single": "NODE_OPTIONS=--experimental-vm-modules yarn run jest --config jest.config.cjs --testTimeout 100000",
     "format": "prettier --config .prettierrc --write \"src\"",
-    "format:check": "prettier --config .prettierrc --check \"src\"",
-    "move-cjs-to-dist": "yarn lc-build --config ./langchain.config.js --move-cjs-dist",
-    "create-entrypoints": "yarn lc-build --config ./langchain.config.js --create-entrypoints",
-    "check-tree-shaking": "yarn lc-build --config ./langchain.config.js --tree-shaking"
+    "format:check": "prettier --config .prettierrc --check \"src\""
   },
   "author": "LangChain",
   "license": "MIT",
diff --git a/langchain/package.json b/langchain/package.json
index fe3c6ee0b599..18aa16d1c363 100644
--- a/langchain/package.json
+++ b/langchain/package.json
@@ -574,12 +574,7 @@
   "homepage": "https://github.com/langchain-ai/langchainjs/tree/main/langchain/",
   "scripts": {
     "build": "yarn turbo:command build:internal --filter=langchain",
-    "build:internal": "yarn lc_build_v2 --create-entrypoints --pre --tree-shaking --gen-maps",
-    "build:deps": "yarn run turbo:command build --filter=@langchain/openai --filter=@langchain/textsplitters --filter=@langchain/cohere --concurrency=1",
-    "build:esm": "NODE_OPTIONS=--max-old-space-size=4096 tsc --outDir dist/ && rimraf dist/tests dist/**/tests",
-    "build:cjs": "NODE_OPTIONS=--max-old-space-size=4096 tsc --outDir dist-cjs/ -p tsconfig.cjs.json && yarn move-cjs-to-dist && rimraf dist-cjs",
-    "build:watch": "yarn create-entrypoints && tsc --outDir dist/ --watch",
-    "build:scripts": "yarn create-entrypoints && yarn check-tree-shaking",
+    "build:internal": "yarn lc_build --create-entrypoints --pre --tree-shaking --gen-maps",
     "lint:eslint": "NODE_OPTIONS=--max-old-space-size=4096 eslint --cache --ext .ts,.js src/",
     "lint:dpdm": "dpdm --exit-code circular:1 --no-warning --no-tree src/*.ts src/**/*.ts",
     "lint": "yarn lint:eslint && yarn lint:dpdm",
@@ -593,10 +588,7 @@
     "test:integration": "yarn run build:deps && NODE_OPTIONS=--experimental-vm-modules jest --testPathPattern=\\.int\\.test.ts --testTimeout 100000 --maxWorkers=50%",
     "test:single": "yarn run build:deps && NODE_OPTIONS=--experimental-vm-modules yarn run jest --config jest.config.cjs --testTimeout 100000",
     "format": "prettier --config .prettierrc --write \"src\"",
-    "format:check": "prettier --config .prettierrc --check \"src\"",
-    "move-cjs-to-dist": "yarn lc-build --config ./langchain.config.js --move-cjs-dist",
-    "create-entrypoints": "yarn lc-build --config ./langchain.config.js --create-entrypoints",
-    "check-tree-shaking": "yarn lc-build --config ./langchain.config.js --tree-shaking"
+    "format:check": "prettier --config .prettierrc --check \"src\""
   },
   "author": "LangChain",
   "license": "MIT",
diff --git a/libs/create-langchain-integration/template/package.json b/libs/create-langchain-integration/template/package.json
index 4b3cb068bf24..dea7417b214a 100644
--- a/libs/create-langchain-integration/template/package.json
+++ b/libs/create-langchain-integration/template/package.json
@@ -15,11 +15,7 @@
   "homepage": "https://github.com/langchain-ai/langchainjs/tree/main/libs/langchain-INTEGRATION_NAME/",
   "scripts": {
     "build": "yarn turbo:command build:internal --filter=@langchain/INTEGRATION_NAME",
-    "build:internal": "yarn lc_build_v2 --create-entrypoints --pre --tree-shaking",
-    "build:esm": "NODE_OPTIONS=--max-old-space-size=4096 tsc --outDir dist/ && rm -rf dist/tests dist/**/tests",
-    "build:cjs": "NODE_OPTIONS=--max-old-space-size=4096 tsc --outDir dist-cjs/ -p tsconfig.cjs.json && yarn move-cjs-to-dist && rm -rf dist-cjs",
-    "build:watch": "yarn create-entrypoints && tsc --outDir dist/ --watch",
-    "build:scripts": "yarn create-entrypoints && yarn check-tree-shaking",
+    "build:internal": "yarn lc_build --create-entrypoints --pre --tree-shaking",
     "lint:eslint": "NODE_OPTIONS=--max-old-space-size=4096 eslint --cache --ext .ts,.js src/",
     "lint:dpdm": "dpdm --exit-code circular:1 --no-warning --no-tree src/*.ts src/**/*.ts",
     "lint": "yarn lint:eslint && yarn lint:dpdm",
@@ -31,10 +27,7 @@
     "test:single": "NODE_OPTIONS=--experimental-vm-modules yarn run jest --config jest.config.cjs --testTimeout 100000",
     "test:int": "NODE_OPTIONS=--experimental-vm-modules jest --testPathPattern=\\.int\\.test.ts --testTimeout 100000 --maxWorkers=50%",
     "format": "prettier --config .prettierrc --write \"src\"",
-    "format:check": "prettier --config .prettierrc --check \"src\"",
-    "move-cjs-to-dist": "yarn lc-build --config ./langchain.config.js --move-cjs-dist",
-    "create-entrypoints": "yarn lc-build --config ./langchain.config.js --create-entrypoints",
-    "check-tree-shaking": "yarn lc-build --config ./langchain.config.js --tree-shaking"
+    "format:check": "prettier --config .prettierrc --check \"src\""
   },
   "author": "LangChain",
   "license": "MIT",
diff --git a/libs/langchain-anthropic/package.json b/libs/langchain-anthropic/package.json
index f4ef0778ee65..550bb654c321 100644
--- a/libs/langchain-anthropic/package.json
+++ b/libs/langchain-anthropic/package.json
@@ -15,7 +15,7 @@
   "homepage": "https://github.com/langchain-ai/langchainjs/tree/main/libs/langchain-anthropic/",
   "scripts": {
     "build": "yarn turbo:command build:internal --filter=@langchain/anthropic",
-    "build:internal": "yarn lc_build_v2 --create-entrypoints --pre --tree-shaking --gen-maps",
+    "build:internal": "yarn lc_build --create-entrypoints --pre --tree-shaking --gen-maps",
     "lint:eslint": "NODE_OPTIONS=--max-old-space-size=4096 eslint --cache --ext .ts,.js src/",
     "lint:dpdm": "dpdm --exit-code circular:1 --no-warning --no-tree src/*.ts src/**/*.ts",
     "lint": "yarn lint:eslint && yarn lint:dpdm",
diff --git a/libs/langchain-aws/package.json b/libs/langchain-aws/package.json
index d9a4990e1146..a4a18e716fa9 100644
--- a/libs/langchain-aws/package.json
+++ b/libs/langchain-aws/package.json
@@ -15,11 +15,7 @@
   "homepage": "https://github.com/langchain-ai/langchainjs/tree/main/libs/langchain-aws/",
   "scripts": {
     "build": "yarn turbo:command build:internal --filter=@langchain/aws",
-    "build:internal": "yarn lc_build_v2 --create-entrypoints --pre --tree-shaking",
-    "build:esm": "NODE_OPTIONS=--max-old-space-size=4096 tsc --outDir dist/ && rm -rf dist/tests dist/**/tests",
-    "build:cjs": "NODE_OPTIONS=--max-old-space-size=4096 tsc --outDir dist-cjs/ -p tsconfig.cjs.json && yarn move-cjs-to-dist && rm -rf dist-cjs",
-    "build:watch": "yarn create-entrypoints && tsc --outDir dist/ --watch",
-    "build:scripts": "yarn create-entrypoints && yarn check-tree-shaking",
+    "build:internal": "yarn lc_build --create-entrypoints --pre --tree-shaking",
     "lint:eslint": "NODE_OPTIONS=--max-old-space-size=4096 eslint --cache --ext .ts,.js src/",
     "lint:dpdm": "dpdm --exit-code circular:1 --no-warning --no-tree src/*.ts src/**/*.ts",
     "lint": "yarn lint:eslint && yarn lint:dpdm",
@@ -31,10 +27,7 @@
     "test:single": "NODE_OPTIONS=--experimental-vm-modules yarn run jest --config jest.config.cjs --testTimeout 100000",
     "test:int": "NODE_OPTIONS=--experimental-vm-modules jest --testPathPattern=\\.int\\.test.ts --testTimeout 100000 --maxWorkers=50%",
     "format": "prettier --config .prettierrc --write \"src\"",
-    "format:check": "prettier --config .prettierrc --check \"src\"",
-    "move-cjs-to-dist": "yarn lc-build --config ./langchain.config.js --move-cjs-dist",
-    "create-entrypoints": "yarn lc-build --config ./langchain.config.js --create-entrypoints",
-    "check-tree-shaking": "yarn lc-build --config ./langchain.config.js --tree-shaking"
+    "format:check": "prettier --config .prettierrc --check \"src\""
   },
   "author": "LangChain",
   "license": "MIT",
diff --git a/libs/langchain-azure-cosmosdb/package.json b/libs/langchain-azure-cosmosdb/package.json
index f825d546f520..6a8a02adebb1 100644
--- a/libs/langchain-azure-cosmosdb/package.json
+++ b/libs/langchain-azure-cosmosdb/package.json
@@ -14,26 +14,20 @@
   },
   "homepage": "https://github.com/langchain-ai/langchainjs/tree/main/libs/langchain-azure-cosmosdb/",
   "scripts": {
-    "build": "yarn clean && yarn build:esm && yarn build:cjs && yarn build:scripts",
-    "build:esm": "NODE_OPTIONS=--max-old-space-size=4096 tsc --outDir dist/ && rm -rf dist/tests dist/**/tests",
-    "build:cjs": "NODE_OPTIONS=--max-old-space-size=4096 tsc --outDir dist-cjs/ -p tsconfig.cjs.json && yarn move-cjs-to-dist && rm -rf dist-cjs",
-    "build:watch": "yarn create-entrypoints && tsc --outDir dist/ --watch",
-    "build:scripts": "yarn create-entrypoints && yarn check-tree-shaking",
+    "build": "yarn turbo:command build:internal --filter=@langchain/azure-cosmosdb",
+    "build:internal": "yarn lc_build --create-entrypoints --pre --tree-shaking",
     "lint:eslint": "NODE_OPTIONS=--max-old-space-size=4096 eslint --cache --ext .ts,.js src/",
     "lint:dpdm": "dpdm --exit-code circular:1 --no-warning --no-tree src/*.ts src/**/*.ts",
     "lint": "yarn lint:eslint && yarn lint:dpdm",
     "lint:fix": "yarn lint:eslint --fix && yarn lint:dpdm",
-    "clean": "rm -rf dist/ && NODE_OPTIONS=--max-old-space-size=4096 yarn lc-build --config ./langchain.config.js --create-entrypoints --pre",
+    "clean": "rm -rf dist/ .turbo",
     "prepack": "yarn build",
     "test": "NODE_OPTIONS=--experimental-vm-modules jest --testPathIgnorePatterns=\\.int\\.test.ts --testTimeout 30000 --maxWorkers=50%",
     "test:watch": "NODE_OPTIONS=--experimental-vm-modules jest --watch --testPathIgnorePatterns=\\.int\\.test.ts",
     "test:single": "NODE_OPTIONS=--experimental-vm-modules yarn run jest --config jest.config.cjs --testTimeout 100000",
     "test:int": "NODE_OPTIONS=--experimental-vm-modules jest --testPathPattern=\\.int\\.test.ts --testTimeout 100000 --maxWorkers=50%",
     "format": "prettier --config .prettierrc --write \"src\"",
-    "format:check": "prettier --config .prettierrc --check \"src\"",
-    "move-cjs-to-dist": "yarn lc-build --config ./langchain.config.js --move-cjs-dist",
-    "create-entrypoints": "yarn lc-build --config ./langchain.config.js --create-entrypoints",
-    "check-tree-shaking": "yarn lc-build --config ./langchain.config.js --tree-shaking"
+    "format:check": "prettier --config .prettierrc --check \"src\""
   },
   "author": "LangChain",
   "license": "MIT",
diff --git a/libs/langchain-azure-dynamic-sessions/package.json b/libs/langchain-azure-dynamic-sessions/package.json
index c726d00e93cf..2c8e0ef7e80c 100644
--- a/libs/langchain-azure-dynamic-sessions/package.json
+++ b/libs/langchain-azure-dynamic-sessions/package.json
@@ -14,26 +14,20 @@
   },
   "homepage": "https://github.com/langchain-ai/langchainjs/tree/main/libs/langchain-INTEGRATION_NAME/",
   "scripts": {
-    "build": "yarn clean && yarn build:esm && yarn build:cjs && yarn build:scripts",
-    "build:esm": "NODE_OPTIONS=--max-old-space-size=4096 tsc --outDir dist/ && rm -rf dist/tests dist/**/tests",
-    "build:cjs": "NODE_OPTIONS=--max-old-space-size=4096 tsc --outDir dist-cjs/ -p tsconfig.cjs.json && yarn move-cjs-to-dist && rm -rf dist-cjs",
-    "build:watch": "yarn create-entrypoints && tsc --outDir dist/ --watch",
-    "build:scripts": "yarn create-entrypoints && yarn check-tree-shaking",
+    "build": "yarn turbo:command build:internal --filter=@langchain/azure-dynamic-sessions",
+    "build:internal": "yarn lc_build --create-entrypoints --pre --tree-shaking",
     "lint:eslint": "NODE_OPTIONS=--max-old-space-size=4096 eslint --cache --ext .ts,.js src/",
     "lint:dpdm": "dpdm --exit-code circular:1 --no-warning --no-tree src/*.ts src/**/*.ts",
     "lint": "yarn lint:eslint && yarn lint:dpdm",
     "lint:fix": "yarn lint:eslint --fix && yarn lint:dpdm",
-    "clean": "rm -rf dist/ && NODE_OPTIONS=--max-old-space-size=4096 yarn lc-build --config ./langchain.config.js --create-entrypoints --pre",
+    "clean": "rm -rf .turbo dist/",
     "prepack": "yarn build",
     "test": "NODE_OPTIONS=--experimental-vm-modules jest --testPathIgnorePatterns=\\.int\\.test.ts --testTimeout 30000 --maxWorkers=50%",
     "test:watch": "NODE_OPTIONS=--experimental-vm-modules jest --watch --testPathIgnorePatterns=\\.int\\.test.ts",
     "test:single": "NODE_OPTIONS=--experimental-vm-modules yarn run jest --config jest.config.cjs --testTimeout 100000",
     "test:int": "NODE_OPTIONS=--experimental-vm-modules jest --testPathPattern=\\.int\\.test.ts --testTimeout 100000 --maxWorkers=50%",
     "format": "prettier --config .prettierrc --write \"src\"",
-    "format:check": "prettier --config .prettierrc --check \"src\"",
-    "move-cjs-to-dist": "yarn lc-build --config ./langchain.config.js --move-cjs-dist",
-    "create-entrypoints": "yarn lc-build --config ./langchain.config.js --create-entrypoints",
-    "check-tree-shaking": "yarn lc-build --config ./langchain.config.js --tree-shaking"
+    "format:check": "prettier --config .prettierrc --check \"src\""
   },
   "author": "LangChain",
   "license": "MIT",
diff --git a/libs/langchain-azure-openai/package.json b/libs/langchain-azure-openai/package.json
index 26631a07a7d8..7d342c60ec33 100644
--- a/libs/langchain-azure-openai/package.json
+++ b/libs/langchain-azure-openai/package.json
@@ -14,7 +14,7 @@
   },
   "scripts": {
     "build": "yarn turbo:command build:internal --filter=@langchain/azure-openai",
-    "build:internal": "yarn lc_build_v2 --create-entrypoints --pre --tree-shaking",
+    "build:internal": "yarn lc_build --create-entrypoints --pre --tree-shaking",
     "lint:eslint": "NODE_OPTIONS=--max-old-space-size=4096 eslint --cache --ext .ts,.js src/",
     "lint:dpdm": "dpdm --exit-code circular:1 --no-warning --no-tree src/*.ts src/**/*.ts",
     "lint": "yarn lint:eslint && yarn lint:dpdm",
diff --git a/libs/langchain-baidu-qianfan/package.json b/libs/langchain-baidu-qianfan/package.json
index 50d9b678f926..84cf871e7e09 100644
--- a/libs/langchain-baidu-qianfan/package.json
+++ b/libs/langchain-baidu-qianfan/package.json
@@ -15,7 +15,7 @@
   "homepage": "https://github.com/langchain-ai/langchainjs/tree/main/libs/langchain-baidu-qianfan/",
   "scripts": {
     "build": "yarn turbo:command build:internal --filter=@langchain/baidu-qianfan",
-    "build:internal": "yarn lc_build_v2 --create-entrypoints --pre --tree-shaking",
+    "build:internal": "yarn lc_build --create-entrypoints --pre --tree-shaking",
     "lint:eslint": "NODE_OPTIONS=--max-old-space-size=4096 eslint --cache --ext .ts,.js src/",
     "lint:dpdm": "dpdm --exit-code circular:1 --no-warning --no-tree src/*.ts src/**/*.ts",
     "lint": "yarn lint:eslint && yarn lint:dpdm",
diff --git a/libs/langchain-cloudflare/package.json b/libs/langchain-cloudflare/package.json
index 45bd5752740e..171bd43a0fdc 100644
--- a/libs/langchain-cloudflare/package.json
+++ b/libs/langchain-cloudflare/package.json
@@ -15,7 +15,7 @@
   "homepage": "https://github.com/langchain-ai/langchainjs/tree/main/libs/langchain-cloudflare/",
   "scripts": {
     "build": "yarn turbo:command build:internal --filter=@langchain/cloudflare",
-    "build:internal": "yarn lc_build_v2 --create-entrypoints --pre --tree-shaking",
+    "build:internal": "yarn lc_build --create-entrypoints --pre --tree-shaking",
     "lint:eslint": "NODE_OPTIONS=--max-old-space-size=4096 eslint --cache --ext .ts,.js src/",
     "lint:dpdm": "dpdm --exit-code circular:1 --no-warning --no-tree src/*.ts src/**/*.ts",
     "lint": "yarn lint:eslint && yarn lint:dpdm",
diff --git a/libs/langchain-cohere/package.json b/libs/langchain-cohere/package.json
index 634afa79e05a..eeb1035c0fde 100644
--- a/libs/langchain-cohere/package.json
+++ b/libs/langchain-cohere/package.json
@@ -15,7 +15,7 @@
   "homepage": "https://github.com/langchain-ai/langchainjs/tree/main/libs/langchain-cohere/",
   "scripts": {
     "build": "yarn turbo:command build:internal --filter=@langchain/cohere",
-    "build:internal": "yarn lc_build_v2 --create-entrypoints --pre --tree-shaking",
+    "build:internal": "yarn lc_build --create-entrypoints --pre --tree-shaking",
     "lint:eslint": "NODE_OPTIONS=--max-old-space-size=4096 eslint --cache --ext .ts,.js src/",
     "lint:dpdm": "dpdm --exit-code circular:1 --no-warning --no-tree src/*.ts src/**/*.ts",
     "lint": "yarn lint:eslint && yarn lint:dpdm",
diff --git a/libs/langchain-community/package.json b/libs/langchain-community/package.json
index 39547db6b2db..57fa2d83e33f 100644
--- a/libs/langchain-community/package.json
+++ b/libs/langchain-community/package.json
@@ -15,7 +15,7 @@
   "homepage": "https://github.com/langchain-ai/langchainjs/tree/main/libs/langchain-community/",
   "scripts": {
     "build": "yarn turbo:command build:internal --filter=@langchain/community",
-    "build:internal": "yarn lc_build_v2 --create-entrypoints --pre --tree-shaking --gen-maps",
+    "build:internal": "yarn lc_build --create-entrypoints --pre --tree-shaking --gen-maps",
     "lint:eslint": "NODE_OPTIONS=--max-old-space-size=4096 eslint --cache --ext .ts,.js src/",
     "lint:dpdm": "dpdm --exit-code circular:1 --no-warning --no-tree src/*.ts src/**/*.ts",
     "lint": "yarn lint:eslint && yarn lint:dpdm",
diff --git a/libs/langchain-exa/package.json b/libs/langchain-exa/package.json
index 6f112e3223a1..20b313377c36 100644
--- a/libs/langchain-exa/package.json
+++ b/libs/langchain-exa/package.json
@@ -15,12 +15,7 @@
   "homepage": "https://github.com/langchain-ai/langchainjs/tree/main/libs/langchain-exa/",
   "scripts": {
     "build": "yarn turbo:command build:internal --filter=@langchain/exa",
-    "build:internal": "yarn lc_build_v2 --create-entrypoints --pre --tree-shaking",
-    "build:deps": "yarn run turbo:command build --filter=@langchain/core",
-    "build:esm": "NODE_OPTIONS=--max-old-space-size=4096 tsc --outDir dist/ && rm -rf dist/tests dist/**/tests",
-    "build:cjs": "NODE_OPTIONS=--max-old-space-size=4096 tsc --outDir dist-cjs/ -p tsconfig.cjs.json && yarn move-cjs-to-dist && rm -rf dist-cjs",
-    "build:watch": "yarn create-entrypoints && tsc --outDir dist/ --watch",
-    "build:scripts": "yarn create-entrypoints && yarn check-tree-shaking",
+    "build:internal": "yarn lc_build --create-entrypoints --pre --tree-shaking",
     "lint:eslint": "NODE_OPTIONS=--max-old-space-size=4096 eslint --cache --ext .ts,.js src/",
     "lint:dpdm": "dpdm --exit-code circular:1 --no-warning --no-tree src/*.ts src/**/*.ts",
     "lint": "yarn lint:eslint && yarn lint:dpdm",
@@ -32,10 +27,7 @@
     "test:single": "NODE_OPTIONS=--experimental-vm-modules yarn run jest --config jest.config.cjs --testTimeout 100000",
     "test:int": "NODE_OPTIONS=--experimental-vm-modules jest --testPathPattern=\\.int\\.test.ts --testTimeout 100000 --maxWorkers=50%",
     "format": "prettier --config .prettierrc --write \"src\"",
-    "format:check": "prettier --config .prettierrc --check \"src\"",
-    "move-cjs-to-dist": "yarn lc-build --config ./langchain.config.js --move-cjs-dist",
-    "create-entrypoints": "yarn lc-build --config ./langchain.config.js --create-entrypoints",
-    "check-tree-shaking": "yarn lc-build --config ./langchain.config.js --tree-shaking"
+    "format:check": "prettier --config .prettierrc --check \"src\""
   },
   "author": "LangChain",
   "license": "MIT",
diff --git a/libs/langchain-google-common/package.json b/libs/langchain-google-common/package.json
index 0d96e938a1db..634c32d400e7 100644
--- a/libs/langchain-google-common/package.json
+++ b/libs/langchain-google-common/package.json
@@ -15,27 +15,19 @@
   "homepage": "https://github.com/langchain-ai/langchainjs/tree/main/libs/langchain-google-common/",
   "scripts": {
     "build": "yarn turbo:command build:internal --filter=@langchain/google-common",
-    "build:internal": "yarn lc_build_v2 --create-entrypoints --pre --tree-shaking",
-    "build:deps": "yarn run turbo:command build --filter=@langchain/core",
-    "build:esm": "NODE_OPTIONS=--max-old-space-size=4096 tsc --outDir dist/ && rm -rf dist/tests dist/**/tests",
-    "build:cjs": "NODE_OPTIONS=--max-old-space-size=4096 tsc --outDir dist-cjs/ -p tsconfig.cjs.json && yarn move-cjs-to-dist && rm -rf dist-cjs",
-    "build:watch": "yarn create-entrypoints && tsc --outDir dist/ --watch",
-    "build:scripts": "yarn create-entrypoints && yarn check-tree-shaking",
+    "build:internal": "yarn lc_build --create-entrypoints --pre --tree-shaking",
     "lint:eslint": "NODE_OPTIONS=--max-old-space-size=4096 eslint --cache --ext .ts,.js src/",
     "lint:dpdm": "dpdm --exit-code circular:1 --no-warning --no-tree src/*.ts src/**/*.ts",
     "lint": "yarn lint:eslint && yarn lint:dpdm",
     "lint:fix": "yarn lint:eslint --fix && yarn lint:dpdm",
     "clean": "rm -rf .turbo dist/",
     "prepack": "yarn build",
-    "test": "yarn run build:deps && NODE_OPTIONS=--experimental-vm-modules jest --testPathIgnorePatterns=\\.int\\.test.ts --testTimeout 30000 --maxWorkers=50%",
-    "test:watch": "yarn run build:deps && NODE_OPTIONS=--experimental-vm-modules jest --watch --testPathIgnorePatterns=\\.int\\.test.ts",
-    "test:single": "yarn run build:deps && NODE_OPTIONS=--experimental-vm-modules yarn run jest --config jest.config.cjs --testTimeout 100000",
-    "test:integration": "NODE_OPTIONS=--experimental-vm-modules jest --testPathPattern=\\.int\\.test.ts --testTimeout 100000 --maxWorkers=50%",
+    "test": "NODE_OPTIONS=--experimental-vm-modules jest --testPathIgnorePatterns=\\.int\\.test.ts --testTimeout 30000 --maxWorkers=50%",
+    "test:watch": "NODE_OPTIONS=--experimental-vm-modules jest --watch --testPathIgnorePatterns=\\.int\\.test.ts",
+    "test:single": "NODE_OPTIONS=--experimental-vm-modules yarn run jest --config jest.config.cjs --testTimeout 100000",
+    "test:int": "NODE_OPTIONS=--experimental-vm-modules jest --testPathPattern=\\.int\\.test.ts --testTimeout 100000 --maxWorkers=50%",
     "format": "prettier --config .prettierrc --write \"src\"",
-    "format:check": "prettier --config .prettierrc --check \"src\"",
-    "move-cjs-to-dist": "yarn lc-build --config ./langchain.config.js --move-cjs-dist",
-    "create-entrypoints": "yarn lc-build --config ./langchain.config.js --create-entrypoints",
-    "check-tree-shaking": "yarn lc-build --config ./langchain.config.js --tree-shaking"
+    "format:check": "prettier --config .prettierrc --check \"src\""
   },
   "author": "LangChain",
   "license": "MIT",
diff --git a/libs/langchain-google-gauth/package.json b/libs/langchain-google-gauth/package.json
index 0fea7767dba0..f6821c67f17c 100644
--- a/libs/langchain-google-gauth/package.json
+++ b/libs/langchain-google-gauth/package.json
@@ -15,7 +15,7 @@
   "homepage": "https://github.com/langchain-ai/langchainjs/tree/main/libs/langchain-google-gauth/",
   "scripts": {
     "build": "yarn turbo:command build:internal --filter=@langchain/google-gauth",
-    "build:internal": "yarn lc_build_v2 --create-entrypoints --pre --tree-shaking",
+    "build:internal": "yarn lc_build --create-entrypoints --pre --tree-shaking",
     "lint:eslint": "NODE_OPTIONS=--max-old-space-size=4096 eslint --cache --ext .ts,.js src/",
     "lint:dpdm": "dpdm --exit-code circular:1 --no-warning --no-tree src/*.ts src/**/*.ts",
     "lint": "yarn lint:eslint && yarn lint:dpdm",
diff --git a/libs/langchain-google-genai/package.json b/libs/langchain-google-genai/package.json
index dd54061733df..d6792fd43c07 100644
--- a/libs/langchain-google-genai/package.json
+++ b/libs/langchain-google-genai/package.json
@@ -15,7 +15,7 @@
   "homepage": "https://github.com/langchain-ai/langchainjs/tree/main/libs/langchain-google-genai/",
   "scripts": {
     "build": "yarn turbo:command build:internal --filter=@langchain/google-genai",
-    "build:internal": "yarn lc_build_v2 --create-entrypoints --pre --tree-shaking",
+    "build:internal": "yarn lc_build --create-entrypoints --pre --tree-shaking",
     "lint:eslint": "NODE_OPTIONS=--max-old-space-size=4096 eslint --cache --ext .ts,.js src/",
     "lint:dpdm": "dpdm --exit-code circular:1 --no-warning --no-tree src/*.ts src/**/*.ts",
     "lint": "yarn lint:eslint && yarn lint:dpdm",
diff --git a/libs/langchain-google-vertexai-web/package.json b/libs/langchain-google-vertexai-web/package.json
index 13fec9df09b7..26341f930fa3 100644
--- a/libs/langchain-google-vertexai-web/package.json
+++ b/libs/langchain-google-vertexai-web/package.json
@@ -15,12 +15,7 @@
   "homepage": "https://github.com/langchain-ai/langchainjs/tree/main/libs/langchain-google-vertexai-web/",
   "scripts": {
     "build": "yarn turbo:command build:internal --filter=@langchain/google-vertexai-web",
-    "build:internal": "yarn lc_build_v2 --create-entrypoints --pre --tree-shaking",
-    "build:deps": "yarn run turbo:command build --filter=@langchain/google-gauth",
-    "build:esm": "NODE_OPTIONS=--max-old-space-size=4096 tsc --outDir dist/ && rm -rf dist/tests dist/**/tests",
-    "build:cjs": "NODE_OPTIONS=--max-old-space-size=4096 tsc --outDir dist-cjs/ -p tsconfig.cjs.json && yarn move-cjs-to-dist && rm -rf dist-cjs",
-    "build:watch": "yarn create-entrypoints && tsc --outDir dist/ --watch",
-    "build:scripts": "yarn create-entrypoints && yarn check-tree-shaking",
+    "build:internal": "yarn lc_build --create-entrypoints --pre --tree-shaking",
     "lint:eslint": "NODE_OPTIONS=--max-old-space-size=4096 eslint --cache --ext .ts,.js src/",
     "lint:dpdm": "dpdm --exit-code circular:1 --no-warning --no-tree src/*.ts src/**/*.ts",
     "lint": "yarn lint:eslint && yarn lint:dpdm",
@@ -32,10 +27,7 @@
     "test:single": "NODE_OPTIONS=--experimental-vm-modules yarn run jest --config jest.config.cjs --testTimeout 100000",
     "test:int": "NODE_OPTIONS=--experimental-vm-modules jest --testPathPattern=\\.int\\.test.ts --testTimeout 100000 --maxWorkers=50%",
     "format": "prettier --config .prettierrc --write \"src\"",
-    "format:check": "prettier --config .prettierrc --check \"src\"",
-    "move-cjs-to-dist": "yarn lc-build --config ./langchain.config.js --move-cjs-dist",
-    "create-entrypoints": "yarn lc-build --config ./langchain.config.js --create-entrypoints",
-    "check-tree-shaking": "yarn lc-build --config ./langchain.config.js --tree-shaking"
+    "format:check": "prettier --config .prettierrc --check \"src\""
   },
   "author": "LangChain",
   "license": "MIT",
diff --git a/libs/langchain-google-vertexai/package.json b/libs/langchain-google-vertexai/package.json
index 5a0faf98f3b7..176d427f54fe 100644
--- a/libs/langchain-google-vertexai/package.json
+++ b/libs/langchain-google-vertexai/package.json
@@ -15,12 +15,7 @@
   "homepage": "https://github.com/langchain-ai/langchainjs/tree/main/libs/langchain-google-vertexai/",
   "scripts": {
     "build": "yarn turbo:command build:internal --filter=@langchain/google-vertexai",
-    "build:internal": "yarn lc_build_v2 --create-entrypoints --pre --tree-shaking",
-    "build:deps": "yarn run turbo:command build --filter=@langchain/google-gauth",
-    "build:esm": "NODE_OPTIONS=--max-old-space-size=4096 tsc --outDir dist/ && rm -rf dist/tests dist/**/tests",
-    "build:cjs": "NODE_OPTIONS=--max-old-space-size=4096 tsc --outDir dist-cjs/ -p tsconfig.cjs.json && yarn move-cjs-to-dist && rm -rf dist-cjs",
-    "build:watch": "yarn create-entrypoints && tsc --outDir dist/ --watch",
-    "build:scripts": "yarn create-entrypoints && yarn check-tree-shaking",
+    "build:internal": "yarn lc_build --create-entrypoints --pre --tree-shaking",
     "lint:eslint": "NODE_OPTIONS=--max-old-space-size=4096 eslint --cache --ext .ts,.js src/",
     "lint:dpdm": "dpdm --exit-code circular:1 --no-warning --no-tree src/*.ts src/**/*.ts",
     "lint": "yarn lint:eslint && yarn lint:dpdm",
@@ -31,14 +26,8 @@
     "test:watch": "NODE_OPTIONS=--experimental-vm-modules jest --watch --testPathIgnorePatterns=\\.int\\.test.ts",
     "test:single": "NODE_OPTIONS=--experimental-vm-modules yarn run jest --config jest.config.cjs --testTimeout 100000",
     "test:int": "NODE_OPTIONS=--experimental-vm-modules jest --testPathPattern=\\.int\\.test.ts --testTimeout 100000 --maxWorkers=50%",
-    "test:standard:unit": "NODE_OPTIONS=--experimental-vm-modules jest --testPathPattern=\\.standard\\.test.ts --testTimeout 100000 --maxWorkers=50%",
-    "test:standard:int": "NODE_OPTIONS=--experimental-vm-modules jest --testPathPattern=\\.standard\\.int\\.test.ts --testTimeout 100000 --maxWorkers=50%",
-    "test:standard": "yarn test:standard:unit && yarn test:standard:int",
     "format": "prettier --config .prettierrc --write \"src\"",
-    "format:check": "prettier --config .prettierrc --check \"src\"",
-    "move-cjs-to-dist": "yarn lc-build --config ./langchain.config.js --move-cjs-dist",
-    "create-entrypoints": "yarn lc-build --config ./langchain.config.js --create-entrypoints",
-    "check-tree-shaking": "yarn lc-build --config ./langchain.config.js --tree-shaking"
+    "format:check": "prettier --config .prettierrc --check \"src\""
   },
   "author": "LangChain",
   "license": "MIT",
diff --git a/libs/langchain-google-webauth/package.json b/libs/langchain-google-webauth/package.json
index e427d62c0ddd..efdd9a744a48 100644
--- a/libs/langchain-google-webauth/package.json
+++ b/libs/langchain-google-webauth/package.json
@@ -15,27 +15,19 @@
   "homepage": "https://github.com/langchain-ai/langchainjs/tree/main/libs/langchain-google-webauth/",
   "scripts": {
     "build": "yarn turbo:command build:internal --filter=@langchain/google-webauth",
-    "build:internal": "yarn lc_build_v2 --create-entrypoints --pre --tree-shaking",
-    "build:deps": "yarn run turbo:command build --filter=@langchain/google-common",
-    "build:esm": "NODE_OPTIONS=--max-old-space-size=4096 tsc --outDir dist/ && rm -rf dist/tests dist/**/tests",
-    "build:cjs": "NODE_OPTIONS=--max-old-space-size=4096 tsc --outDir dist-cjs/ -p tsconfig.cjs.json && yarn move-cjs-to-dist && rm -rf dist-cjs",
-    "build:watch": "yarn create-entrypoints && tsc --outDir dist/ --watch",
-    "build:scripts": "yarn create-entrypoints && yarn check-tree-shaking",
+    "build:internal": "yarn lc_build --create-entrypoints --pre --tree-shaking",
     "lint:eslint": "NODE_OPTIONS=--max-old-space-size=4096 eslint --cache --ext .ts,.js src/",
     "lint:dpdm": "dpdm --exit-code circular:1 --no-warning --no-tree src/*.ts src/**/*.ts",
     "lint": "yarn lint:eslint && yarn lint:dpdm",
     "lint:fix": "yarn lint:eslint --fix && yarn lint:dpdm",
     "clean": "rm -rf .turbo dist/",
     "prepack": "yarn build",
-    "test": "yarn run build:deps && NODE_OPTIONS=--experimental-vm-modules jest --testPathIgnorePatterns=\\.int\\.test.ts --testTimeout 30000 --maxWorkers=50%",
-    "test:watch": "yarn run build:deps && NODE_OPTIONS=--experimental-vm-modules jest --watch --testPathIgnorePatterns=\\.int\\.test.ts",
-    "test:single": "yarn run build:deps && NODE_OPTIONS=--experimental-vm-modules yarn run jest --config jest.config.cjs --testTimeout 100000",
-    "test:integration": "NODE_OPTIONS=--experimental-vm-modules jest --testPathPattern=\\.int\\.test.ts --testTimeout 100000 --maxWorkers=50%",
+    "test": "NODE_OPTIONS=--experimental-vm-modules jest --testPathIgnorePatterns=\\.int\\.test.ts --testTimeout 30000 --maxWorkers=50%",
+    "test:watch": "NODE_OPTIONS=--experimental-vm-modules jest --watch --testPathIgnorePatterns=\\.int\\.test.ts",
+    "test:single": "NODE_OPTIONS=--experimental-vm-modules yarn run jest --config jest.config.cjs --testTimeout 100000",
+    "test:int": "NODE_OPTIONS=--experimental-vm-modules jest --testPathPattern=\\.int\\.test.ts --testTimeout 100000 --maxWorkers=50%",
     "format": "prettier --config .prettierrc --write \"src\"",
-    "format:check": "prettier --config .prettierrc --check \"src\"",
-    "move-cjs-to-dist": "yarn lc-build --config ./langchain.config.js --move-cjs-dist",
-    "create-entrypoints": "yarn lc-build --config ./langchain.config.js --create-entrypoints",
-    "check-tree-shaking": "yarn lc-build --config ./langchain.config.js --tree-shaking"
+    "format:check": "prettier --config .prettierrc --check \"src\""
   },
   "author": "LangChain",
   "license": "MIT",
diff --git a/libs/langchain-groq/package.json b/libs/langchain-groq/package.json
index 42c79b7b73fd..616bebcf750b 100644
--- a/libs/langchain-groq/package.json
+++ b/libs/langchain-groq/package.json
@@ -15,7 +15,7 @@
   "homepage": "https://github.com/langchain-ai/langchainjs/tree/main/libs/langchain-groq/",
   "scripts": {
     "build": "yarn turbo:command build:internal --filter=@langchain/groq",
-    "build:internal": "yarn lc_build_v2 --create-entrypoints --pre --tree-shaking",
+    "build:internal": "yarn lc_build --create-entrypoints --pre --tree-shaking",
     "lint:eslint": "NODE_OPTIONS=--max-old-space-size=4096 eslint --cache --ext .ts,.js src/",
     "lint:dpdm": "dpdm --exit-code circular:1 --no-warning --no-tree src/*.ts src/**/*.ts",
     "lint": "yarn lint:eslint && yarn lint:dpdm",
diff --git a/libs/langchain-mistralai/package.json b/libs/langchain-mistralai/package.json
index c92f0fa42432..c757c40b9750 100644
--- a/libs/langchain-mistralai/package.json
+++ b/libs/langchain-mistralai/package.json
@@ -15,7 +15,7 @@
   "homepage": "https://github.com/langchain-ai/langchainjs/tree/main/libs/langchain-mistralai/",
   "scripts": {
     "build": "yarn turbo:command build:internal --filter=@langchain/mistralai",
-    "build:internal": "yarn lc_build_v2 --create-entrypoints --pre --tree-shaking",
+    "build:internal": "yarn lc_build --create-entrypoints --pre --tree-shaking",
     "lint:eslint": "NODE_OPTIONS=--max-old-space-size=4096 eslint --cache --ext .ts,.js src/",
     "lint:dpdm": "dpdm --exit-code circular:1 --no-warning --no-tree src/*.ts src/**/*.ts",
     "lint": "yarn lint:eslint && yarn lint:dpdm",
diff --git a/libs/langchain-mixedbread-ai/package.json b/libs/langchain-mixedbread-ai/package.json
index 68d207ac8877..4a9015891868 100644
--- a/libs/langchain-mixedbread-ai/package.json
+++ b/libs/langchain-mixedbread-ai/package.json
@@ -15,7 +15,7 @@
   "homepage": "https://github.com/langchain-ai/langchainjs/tree/main/libs/langchain-mixedbread-ai/",
   "scripts": {
     "build": "yarn turbo:command build:internal --filter=@langchain/mixedbread-ai",
-    "build:internal": "yarn lc_build_v2 --create-entrypoints --pre --tree-shaking",
+    "build:internal": "yarn lc_build --create-entrypoints --pre --tree-shaking",
     "lint:eslint": "NODE_OPTIONS=--max-old-space-size=4096 eslint --cache --ext .ts,.js src/",
     "lint:dpdm": "dpdm --exit-code circular:1 --no-warning --no-tree src/*.ts src/**/*.ts",
     "lint": "yarn lint:eslint && yarn lint:dpdm",
diff --git a/libs/langchain-mongodb/package.json b/libs/langchain-mongodb/package.json
index cd526c859df5..9b6b1557e330 100644
--- a/libs/langchain-mongodb/package.json
+++ b/libs/langchain-mongodb/package.json
@@ -15,12 +15,7 @@
   "homepage": "https://github.com/langchain-ai/langchainjs/tree/main/libs/langchain-mongodb/",
   "scripts": {
     "build": "yarn turbo:command build:internal --filter=@langchain/mongodb",
-    "build:internal": "yarn lc_build_v2 --create-entrypoints --pre --tree-shaking",
-    "build:deps": "yarn run turbo:command build --filter=@langchain/openai",
-    "build:esm": "NODE_OPTIONS=--max-old-space-size=4096 tsc --outDir dist/ && rm -rf dist/tests dist/**/tests",
-    "build:cjs": "NODE_OPTIONS=--max-old-space-size=4096 tsc --outDir dist-cjs/ -p tsconfig.cjs.json && yarn move-cjs-to-dist && rm -rf dist-cjs",
-    "build:watch": "yarn create-entrypoints && tsc --outDir dist/ --watch",
-    "build:scripts": "yarn create-entrypoints && yarn check-tree-shaking",
+    "build:internal": "yarn lc_build --create-entrypoints --pre --tree-shaking",
     "lint:eslint": "NODE_OPTIONS=--max-old-space-size=4096 eslint --cache --ext .ts,.js src/",
     "lint:dpdm": "dpdm --exit-code circular:1 --no-warning --no-tree src/*.ts src/**/*.ts",
     "lint": "yarn lint:eslint && yarn lint:dpdm",
@@ -32,10 +27,7 @@
     "test:single": "NODE_OPTIONS=--experimental-vm-modules yarn run jest --config jest.config.cjs --testTimeout 100000",
     "test:int": "NODE_OPTIONS=--experimental-vm-modules jest --testPathPattern=\\.int\\.test.ts --testTimeout 100000 --maxWorkers=50%",
     "format": "prettier --config .prettierrc --write \"src\"",
-    "format:check": "prettier --config .prettierrc --check \"src\"",
-    "move-cjs-to-dist": "yarn lc-build --config ./langchain.config.js --move-cjs-dist",
-    "create-entrypoints": "yarn lc-build --config ./langchain.config.js --create-entrypoints",
-    "check-tree-shaking": "yarn lc-build --config ./langchain.config.js --tree-shaking"
+    "format:check": "prettier --config .prettierrc --check \"src\""
   },
   "author": "LangChain",
   "license": "MIT",
diff --git a/libs/langchain-nomic/package.json b/libs/langchain-nomic/package.json
index 76daa46b574b..0c676b062876 100644
--- a/libs/langchain-nomic/package.json
+++ b/libs/langchain-nomic/package.json
@@ -15,12 +15,7 @@
   "homepage": "https://github.com/langchain-ai/langchainjs/tree/main/libs/langchain-nomic/",
   "scripts": {
     "build": "yarn turbo:command build:internal --filter=@langchain/nomic",
-    "build:internal": "yarn lc_build_v2 --create-entrypoints --pre --tree-shaking",
-    "build:deps": "yarn run turbo:command build --filter=@langchain/core",
-    "build:esm": "NODE_OPTIONS=--max-old-space-size=4096 tsc --outDir dist/ && rm -rf dist/tests dist/**/tests",
-    "build:cjs": "NODE_OPTIONS=--max-old-space-size=4096 tsc --outDir dist-cjs/ -p tsconfig.cjs.json && yarn move-cjs-to-dist && rm -rf dist-cjs",
-    "build:watch": "yarn create-entrypoints && tsc --outDir dist/ --watch",
-    "build:scripts": "yarn create-entrypoints && yarn check-tree-shaking",
+    "build:internal": "yarn lc_build --create-entrypoints --pre --tree-shaking",
     "lint:eslint": "NODE_OPTIONS=--max-old-space-size=4096 eslint --cache --ext .ts,.js src/",
     "lint:dpdm": "dpdm --exit-code circular:1 --no-warning --no-tree src/*.ts src/**/*.ts",
     "lint": "yarn lint:eslint && yarn lint:dpdm",
@@ -32,10 +27,7 @@
     "test:single": "NODE_OPTIONS=--experimental-vm-modules yarn run jest --config jest.config.cjs --testTimeout 100000",
     "test:int": "NODE_OPTIONS=--experimental-vm-modules jest --testPathPattern=\\.int\\.test.ts --testTimeout 100000 --maxWorkers=50%",
     "format": "prettier --config .prettierrc --write \"src\"",
-    "format:check": "prettier --config .prettierrc --check \"src\"",
-    "move-cjs-to-dist": "yarn lc-build --config ./langchain.config.js --move-cjs-dist",
-    "create-entrypoints": "yarn lc-build --config ./langchain.config.js --create-entrypoints",
-    "check-tree-shaking": "yarn lc-build --config ./langchain.config.js --tree-shaking"
+    "format:check": "prettier --config .prettierrc --check \"src\""
   },
   "author": "LangChain",
   "license": "MIT",
diff --git a/libs/langchain-ollama/package.json b/libs/langchain-ollama/package.json
index 88d5c74d7917..c18f33538808 100644
--- a/libs/langchain-ollama/package.json
+++ b/libs/langchain-ollama/package.json
@@ -15,7 +15,7 @@
   "homepage": "https://github.com/langchain-ai/langchainjs/tree/main/libs/langchain-ollama/",
   "scripts": {
     "build": "yarn turbo:command build:internal --filter=@langchain/ollama",
-    "build:internal": "yarn lc_build_v2 --create-entrypoints --pre --tree-shaking",
+    "build:internal": "yarn lc_build --create-entrypoints --pre --tree-shaking",
     "lint:eslint": "NODE_OPTIONS=--max-old-space-size=4096 eslint --cache --ext .ts,.js src/",
     "lint:dpdm": "dpdm --exit-code circular:1 --no-warning --no-tree src/*.ts src/**/*.ts",
     "lint": "yarn lint:eslint && yarn lint:dpdm",
@@ -27,10 +27,7 @@
     "test:single": "NODE_OPTIONS=--experimental-vm-modules yarn run jest --config jest.config.cjs --testTimeout 100000",
     "test:int": "NODE_OPTIONS=--experimental-vm-modules jest --testPathPattern=\\.int\\.test.ts --testTimeout 100000 --maxWorkers=50%",
     "format": "prettier --config .prettierrc --write \"src\"",
-    "format:check": "prettier --config .prettierrc --check \"src\"",
-    "move-cjs-to-dist": "yarn lc-build --config ./langchain.config.js --move-cjs-dist",
-    "create-entrypoints": "yarn lc-build --config ./langchain.config.js --create-entrypoints",
-    "check-tree-shaking": "yarn lc-build --config ./langchain.config.js --tree-shaking"
+    "format:check": "prettier --config .prettierrc --check \"src\""
   },
   "author": "LangChain",
   "license": "MIT",
diff --git a/libs/langchain-openai/package.json b/libs/langchain-openai/package.json
index 4ba163dd8703..831946ffc1fd 100644
--- a/libs/langchain-openai/package.json
+++ b/libs/langchain-openai/package.json
@@ -15,7 +15,7 @@
   "homepage": "https://github.com/langchain-ai/langchainjs/tree/main/libs/langchain-openai/",
   "scripts": {
     "build": "yarn turbo:command build:internal --filter=@langchain/openai",
-    "build:internal": "yarn lc_build_v2 --create-entrypoints --pre --tree-shaking",
+    "build:internal": "yarn lc_build --create-entrypoints --pre --tree-shaking",
     "lint:eslint": "NODE_OPTIONS=--max-old-space-size=4096 eslint --cache --ext .ts,.js src/",
     "lint:dpdm": "dpdm --exit-code circular:1 --no-warning --no-tree src/*.ts src/**/*.ts",
     "lint": "yarn lint:eslint && yarn lint:dpdm",
diff --git a/libs/langchain-pinecone/package.json b/libs/langchain-pinecone/package.json
index 702a8ff3d590..eed6620abc5f 100644
--- a/libs/langchain-pinecone/package.json
+++ b/libs/langchain-pinecone/package.json
@@ -15,11 +15,7 @@
   "homepage": "https://github.com/langchain-ai/langchainjs/tree/main/libs/langchain-pinecone/",
   "scripts": {
     "build": "yarn turbo:command build:internal --filter=@langchain/pinecone",
-    "build:internal": "yarn lc_build_v2 --create-entrypoints --pre --tree-shaking",
-    "build:esm": "NODE_OPTIONS=--max-old-space-size=4096 tsc --outDir dist/ && rm -rf dist/tests dist/**/tests",
-    "build:cjs": "NODE_OPTIONS=--max-old-space-size=4096 tsc --outDir dist-cjs/ -p tsconfig.cjs.json && yarn move-cjs-to-dist && rm -rf dist-cjs",
-    "build:watch": "yarn create-entrypoints && tsc --outDir dist/ --watch",
-    "build:scripts": "yarn create-entrypoints && yarn check-tree-shaking",
+    "build:internal": "yarn lc_build --create-entrypoints --pre --tree-shaking",
     "lint:eslint": "NODE_OPTIONS=--max-old-space-size=4096 eslint --cache --ext .ts,.js src/",
     "lint:dpdm": "dpdm --exit-code circular:1 --no-warning --no-tree src/*.ts src/**/*.ts",
     "lint": "yarn lint:eslint && yarn lint:dpdm",
@@ -31,10 +27,7 @@
     "test:single": "NODE_OPTIONS=--experimental-vm-modules yarn run jest --config jest.config.cjs --testTimeout 100000",
     "test:int": "NODE_OPTIONS=--experimental-vm-modules jest --testPathPattern=\\.int\\.test.ts --testTimeout 100000 --maxWorkers=50%",
     "format": "prettier --config .prettierrc --write \"src\"",
-    "format:check": "prettier --config .prettierrc --check \"src\"",
-    "move-cjs-to-dist": "yarn lc-build --config ./langchain.config.js --move-cjs-dist",
-    "create-entrypoints": "yarn lc-build --config ./langchain.config.js --create-entrypoints",
-    "check-tree-shaking": "yarn lc-build --config ./langchain.config.js --tree-shaking"
+    "format:check": "prettier --config .prettierrc --check \"src\""
   },
   "author": "Pinecone, Inc",
   "license": "MIT",
diff --git a/libs/langchain-qdrant/package.json b/libs/langchain-qdrant/package.json
index 40548cfe9e44..b67aaa635d4c 100644
--- a/libs/langchain-qdrant/package.json
+++ b/libs/langchain-qdrant/package.json
@@ -15,11 +15,7 @@
   "homepage": "https://github.com/langchain-ai/langchainjs/tree/main/libs/langchain-qdrant",
   "scripts": {
     "build": "yarn turbo:command build:internal --filter=@langchain/qdrant",
-    "build:internal": "yarn lc_build_v2 --create-entrypoints --pre --tree-shaking",
-    "build:esm": "NODE_OPTIONS=--max-old-space-size=4096 tsc --outDir dist/ && rm -rf dist/tests dist/**/tests",
-    "build:cjs": "NODE_OPTIONS=--max-old-space-size=4096 tsc --outDir dist-cjs/ -p tsconfig.cjs.json && yarn move-cjs-to-dist && rm -rf dist-cjs",
-    "build:watch": "yarn create-entrypoints && tsc --outDir dist/ --watch",
-    "build:scripts": "yarn create-entrypoints && yarn check-tree-shaking",
+    "build:internal": "yarn lc_build --create-entrypoints --pre --tree-shaking",
     "lint:eslint": "NODE_OPTIONS=--max-old-space-size=4096 eslint --cache --ext .ts,.js src/",
     "lint:dpdm": "dpdm --exit-code circular:1 --no-warning --no-tree src/*.ts src/**/*.ts",
     "lint": "yarn lint:eslint && yarn lint:dpdm",
@@ -31,10 +27,7 @@
     "test:single": "NODE_OPTIONS=--experimental-vm-modules yarn run jest --config jest.config.cjs --testTimeout 100000",
     "test:int": "NODE_OPTIONS=--experimental-vm-modules jest --testPathPattern=\\.int\\.test.ts --testTimeout 100000 --maxWorkers=50%",
     "format": "prettier --config .prettierrc --write \"src\"",
-    "format:check": "prettier --config .prettierrc --check \"src\"",
-    "move-cjs-to-dist": "yarn lc-build --config ./langchain.config.js --move-cjs-dist",
-    "create-entrypoints": "yarn lc-build --config ./langchain.config.js --create-entrypoints",
-    "check-tree-shaking": "yarn lc-build --config ./langchain.config.js --tree-shaking"
+    "format:check": "prettier --config .prettierrc --check \"src\""
   },
   "author": "LangChain",
   "license": "MIT",
diff --git a/libs/langchain-redis/package.json b/libs/langchain-redis/package.json
index fda7d74d59a6..d321f4e47a42 100644
--- a/libs/langchain-redis/package.json
+++ b/libs/langchain-redis/package.json
@@ -15,11 +15,7 @@
   "homepage": "https://github.com/langchain-ai/langchainjs/tree/main/libs/langchain-redis/",
   "scripts": {
     "build": "yarn turbo:command build:internal --filter=@langchain/redis",
-    "build:internal": "yarn lc_build_v2 --create-entrypoints --pre --tree-shaking",
-    "build:esm": "NODE_OPTIONS=--max-old-space-size=4096 tsc --outDir dist/ && rm -rf dist/tests dist/**/tests",
-    "build:cjs": "NODE_OPTIONS=--max-old-space-size=4096 tsc --outDir dist-cjs/ -p tsconfig.cjs.json && yarn move-cjs-to-dist && rm -rf dist-cjs",
-    "build:watch": "yarn create-entrypoints && tsc --outDir dist/ --watch",
-    "build:scripts": "yarn create-entrypoints && yarn check-tree-shaking",
+    "build:internal": "yarn lc_build --create-entrypoints --pre --tree-shaking",
     "lint:eslint": "NODE_OPTIONS=--max-old-space-size=4096 eslint --cache --ext .ts,.js src/",
     "lint:dpdm": "dpdm --exit-code circular:1 --no-warning --no-tree src/*.ts src/**/*.ts",
     "lint": "yarn lint:eslint && yarn lint:dpdm",
@@ -31,10 +27,7 @@
     "test:single": "NODE_OPTIONS=--experimental-vm-modules yarn run jest --config jest.config.cjs --testTimeout 100000",
     "test:int": "NODE_OPTIONS=--experimental-vm-modules jest --testPathPattern=\\.int\\.test.ts --testTimeout 100000 --maxWorkers=50%",
     "format": "prettier --config .prettierrc --write \"src\"",
-    "format:check": "prettier --config .prettierrc --check \"src\"",
-    "move-cjs-to-dist": "yarn lc-build --config ./langchain.config.js --move-cjs-dist",
-    "create-entrypoints": "yarn lc-build --config ./langchain.config.js --create-entrypoints",
-    "check-tree-shaking": "yarn lc-build --config ./langchain.config.js --tree-shaking"
+    "format:check": "prettier --config .prettierrc --check \"src\""
   },
   "author": "LangChain",
   "license": "MIT",
diff --git a/libs/langchain-scripts/bin/build.js b/libs/langchain-scripts/bin/build.js
index 40b80ac0d611..ec93df06484c 100755
--- a/libs/langchain-scripts/bin/build.js
+++ b/libs/langchain-scripts/bin/build.js
@@ -1,911 +1 @@
-#!/usr/bin/env node
-
-import { Command } from "commander";
-import * as fs from "node:fs";
-import path from "node:path";
-import ts from "typescript";
-import { rollup } from "rollup";
-
-/**
- * @typedef {Object} ExtraImportMapEntry
- * @property {Array<string>} modules
- * @property {Array<string>} alias 
- * @property {string} path
- */
-
-/**
- * @typedef {Object} ImportData
- * @property {Record<string, string[]>} exportedAliases
- * @property {Record<string, string[]>} imports 
- */
-
-/**
- * @param {any} obj 
- * @returns {obj is LangChainConfig}
- */
-function _verifyObjectIsLangChainConfig(
-  obj
-) {
-  if (typeof obj !== "object") {
-    console.error("LangChain config file is not an object");
-    return false;
-  }
-  if (
-    !("entrypoints" in obj) ||
-    !("tsConfigPath" in obj) ||
-    !("cjsSource" in obj) ||
-    !("cjsDestination" in obj) ||
-    !("abs" in obj)
-  ) {
-    console.error(`LangChain config file is missing required fields. One of: entrypoints, tsConfigPath, cjsSource, cjsDestination, abs`);
-    return false;
-  }
-  if (typeof obj.entrypoints !== "object") {
-    console.error("entrypoints field in LangChain config file is not an object");
-    return false;
-  }
-  if (Object.values(obj.entrypoints).some((v) => typeof v !== "string")) {
-    console.error("entrypoints field in LangChain config file is not an object of strings");
-    return false;
-  }
-  if (
-    typeof obj.tsConfigPath !== "string" ||
-    typeof obj.cjsSource !== "string" ||
-    typeof obj.cjsDestination !== "string"
-  ) {
-    console.error("tsConfigPath, cjsSource, or cjsDestination fields in LangChain config file are not strings");
-    return false;
-  }
-  if (typeof obj.abs !== "function") {
-    console.error("abs field in LangChain config file is not a function");
-    return false;
-  }
-
-  // Optional fields
-  if (
-    "requiresOptionalDependency" in obj &&
-    (!Array.isArray(obj.requiresOptionalDependency) ||
-      obj.requiresOptionalDependency.some((v) => typeof v !== "string"))
-  ) {
-    console.error("requiresOptionalDependency field in LangChain config file is not an array of strings");
-    return false;
-  }
-  if (
-    "deprecatedNodeOnly" in obj &&
-    (!Array.isArray(obj.deprecatedNodeOnly) ||
-      obj.deprecatedNodeOnly.some((v) => typeof v !== "string"))
-  ) {
-    console.error("deprecatedNodeOnly field in LangChain config file is not an array of strings");
-    return false;
-  }
-  if (
-    "deprecatedOmitFromImportMap" in obj &&
-    (!Array.isArray(obj.deprecatedOmitFromImportMap) ||
-      obj.deprecatedOmitFromImportMap.some((v) => typeof v !== "string"))
-  ) {
-    console.error("deprecatedOmitFromImportMap field in LangChain config file is not an array of strings");
-    return false;
-  }
-  if ("packageSuffix" in obj && typeof obj.packageSuffix !== "string") {
-    console.error("packageSuffix field in LangChain config file is not a string");
-    return false;
-  }
-  if (
-    "shouldTestExports" in obj &&
-    typeof obj.shouldTestExports !== "boolean"
-  ) {
-    console.error("shouldTestExports field in LangChain config file is not a boolean");
-    return false;
-  }
-  if (
-    "extraImportMapEntries" in obj &&
-    !Array.isArray(obj.extraImportMapEntries)
-  ) {
-    console.error("extraImportMapEntries field in LangChain config file is not an array");
-    return false;
-  }
-  if (
-    "gitignorePaths" in obj &&
-    (!Array.isArray(obj.gitignorePaths) ||
-      obj.gitignorePaths.some((v) => typeof v !== "string"))
-  ) {
-    console.error("gitignorePaths field in LangChain config file is not an array of strings");
-    return false;
-  }
-  if ("internals" in obj && !Array.isArray(obj.internals)) {
-    console.error("internals field in LangChain config file is not an array");
-    return false;
-  }
-  return true;
-}
-
-
-async function moveAndRename({
-  /** @type {string} */
-  source,
-  /** @type {string} */
-  dest,
-  /** @type {(p: string) => string} */
-  abs,
-}) {
-  try {
-    for (const file of await fs.promises.readdir(abs(source), { withFileTypes: true })) {
-      if (file.isDirectory()) {
-        await moveAndRename({
-          source: `${source}/${file.name}`,
-          dest: `${dest}/${file.name}`,
-          abs,
-        });
-      } else if (file.isFile()) {
-        const parsed = path.parse(file.name);
-
-        // Ignore anything that's not a .js file
-        if (parsed.ext !== ".js") {
-          continue;
-        }
-
-        // Rewrite any require statements to use .cjs
-        const content = await fs.promises.readFile(abs(`${source}/${file.name}`), "utf8");
-        const rewritten = content.replace(
-          /require\("(\..+?).js"\)/g,
-          (_, p1) => `require("${p1}.cjs")`
-        );
-
-        // Rename the file to .cjs
-        const renamed = path.format({ name: parsed.name, ext: ".cjs" });
-
-        await fs.promises.writeFile(abs(`${dest}/${renamed}`), rewritten, "utf8");
-      }
-    }
-  } catch (err) {
-    console.error(err);
-    process.exit(1);
-  }
-}
-
-/** @returns {Promise<PackageJSON>} */
-async function getPackageJson() {
-  return JSON.parse(await fs.promises.readFile("package.json", "utf-8"));
-}
-
-async function listEntrypoints() {
-  const { exports } = await getPackageJson();
-  /** @type {Record<string, ExportsMapValue | string> | null} */
-  const exportsWithoutPackageJSON = exports
-    ? Object.entries(exports)
-      .filter(([k]) => k !== "./package.json")
-      .reduce((acc, [k, v]) => ({ ...acc, [k]: v }), {})
-    : null;
-
-  if (!exportsWithoutPackageJSON) {
-    throw new Error("No exports found in package.json");
-  }
-  /** @type {string[]} */
-  const entrypoints = [];
-
-  for (const [key, value] of Object.entries(exportsWithoutPackageJSON)) {
-    if (key === "./package.json") {
-      continue;
-    }
-    if (typeof value === "string") {
-      entrypoints.push(value);
-    } else if (
-      "import" in value &&
-      value.import &&
-      typeof value.import === "string"
-    ) {
-      entrypoints.push(value.import);
-    }
-  }
-
-  return entrypoints;
-}
-
-/**
- *
- * @param {Array<string | RegExp>} extraInternals
- * @default [...Object.keys(packageJson.dependencies ?? {}), ...Object.keys(packageJson.peerDependencies ?? {})]
- * @returns {Promise<Array<string | RegExp>>}
- */
-async function listExternals(
-  extraInternals
-) {
-  const packageJson = await getPackageJson();
-  return [
-    ...Object.keys(packageJson.dependencies ?? {}),
-    ...Object.keys(packageJson.peerDependencies ?? {}),
-    ...extraInternals,
-  ];
-}
-
-/**
- * 
- * @param {undefined | TreeShakingArgs} options 
- */
-export async function checkTreeShaking(options) {
-  const externals = await listExternals(options?.extraInternals ?? []);
-  const entrypoints = await listEntrypoints();
-  const consoleInfo = console.info;
-  const reportMap = new Map();
-
-  for (const entrypoint of entrypoints) {
-    let sideEffects = "";
-
-    console.info = function (...args) {
-      const line = args.length ? args.join(" ") : "";
-      if (line.includes("First side effect in")) {
-        sideEffects += `${line}\n`;
-      }
-    };
-
-    await rollup({
-      external: externals,
-      input: entrypoint,
-      experimentalLogSideEffects: true,
-    });
-
-    let hasUnexpectedSideEffects = sideEffects.length > 0;
-    if (hasUnexpectedSideEffects) {
-      const entrypointContent = await fs.promises.readFile(`./dist/${entrypoint.replace(/^\.\//, "")}`);
-      // Allow escaping side effects strictly within code directly
-      // within an entrypoint
-      hasUnexpectedSideEffects = !entrypointContent
-        .toString()
-        .includes("/* __LC_ALLOW_ENTRYPOINT_SIDE_EFFECTS__ */");
-    }
-    reportMap.set(entrypoint, {
-      log: sideEffects,
-      hasUnexpectedSideEffects,
-    });
-  }
-
-  console.info = consoleInfo;
-
-  let failed = false;
-  for (const [entrypoint, report] of reportMap) {
-    if (report.hasUnexpectedSideEffects) {
-      failed = true;
-      console.log("---------------------------------");
-      console.log(`Tree shaking failed for ${entrypoint}`);
-      console.log(report.log);
-    }
-  }
-
-  if (failed) {
-    throw new Error("Tree shaking checks failed.");
-  } else {
-    console.log("Tree shaking checks passed!");
-  }
-}
-
-
-function identifySecrets(absTsConfigPath) {
-  const secrets = new Set();
-
-  const tsConfig = ts.parseJsonConfigFileContent(
-    ts.readJsonConfigFile(absTsConfigPath, (p) => fs.readFileSync(p, "utf-8")),
-    ts.sys,
-    "./src/"
-  );
-
-  // `tsConfig.options.target` is not always defined when running this
-  // via the `@langchain/scripts` package. Instead, fallback to the raw
-  // tsConfig.json file contents.
-  const tsConfigFileContentsText =
-    "text" in tsConfig.raw
-      ? JSON.parse(tsConfig.raw.text)
-      : { compilerOptions: {} };
-
-  const tsConfigTarget =
-    tsConfig.options.target || tsConfigFileContentsText.compilerOptions.target;
-
-  for (const fileName of tsConfig.fileNames.filter(
-    (fn) => !fn.endsWith("test.ts")
-  )) {
-    if (!tsConfigTarget) {
-      continue;
-    }
-
-    const sourceFile = ts.createSourceFile(
-      fileName,
-      fs.readFileSync(fileName, "utf-8"),
-      tsConfigTarget,
-      true
-    );
-
-    sourceFile.forEachChild((node) => {
-      switch (node.kind) {
-        case ts.SyntaxKind.ClassDeclaration:
-        case ts.SyntaxKind.ClassExpression: {
-          node.forEachChild((node) => {
-            // look for get lc_secrets()
-            switch (node.kind) {
-              case ts.SyntaxKind.GetAccessor: {
-                const property = node;
-                if (
-                  ts.isGetAccessor(property) &&
-                  property.name.getText() === "lc_secrets"
-                ) {
-                  // look for return { ... }
-                  property.body?.statements.forEach((stmt) => {
-                    if (
-                      ts.isReturnStatement(stmt) &&
-                      stmt.expression &&
-                      ts.isObjectLiteralExpression(stmt.expression)
-                    ) {
-                      stmt.expression.properties.forEach((element) => {
-                        if (ts.isPropertyAssignment(element)) {
-                          // Type guard for PropertyAssignment
-                          if (
-                            element.initializer &&
-                            ts.isStringLiteral(element.initializer)
-                          ) {
-                            const secret = element.initializer.text;
-
-                            if (secret.toUpperCase() !== secret) {
-                              throw new Error(
-                                `Secret identifier must be uppercase: ${secret} at ${fileName}`
-                              );
-                            }
-                            if (/\s/.test(secret)) {
-                              throw new Error(
-                                `Secret identifier must not contain whitespace: ${secret} at ${fileName}`
-                              );
-                            }
-
-                            secrets.add(secret);
-                          }
-                        }
-                      });
-                    }
-                  });
-                }
-                break;
-              }
-              default:
-                break;
-            }
-          });
-          break;
-        }
-        default:
-          break;
-      }
-    });
-  }
-
-  return secrets;
-}
-
-// .gitignore
-const DEFAULT_GITIGNORE_PATHS = ["node_modules", "dist", ".yarn"];
-
-/**
- * List of test-exports-* packages which we use to test that the exports field
- * works correctly across different JS environments.
- * Each entry is a tuple of [package name, import statement].
- * @type {Array<[string, (p: string) => string]>}
- */
-const testExports = [
-  [
-    "test-exports-esm",
-    (p) =>
-      `import * as ${p.replace(/\//g, "_")} from "langchain/${p}";`,
-  ],
-  [
-    "test-exports-esbuild",
-    (p) =>
-      `import * as ${p.replace(/\//g, "_")} from "langchain/${p}";`,
-  ],
-  [
-    "test-exports-cjs",
-    (p) =>
-      `const ${p.replace(/\//g, "_")} = require("langchain/${p}");`,
-  ],
-  ["test-exports-cf", (p) => `export * from "langchain/${p}";`],
-  ["test-exports-vercel", (p) => `export * from "langchain/${p}";`],
-  ["test-exports-vite", (p) => `export * from "langchain/${p}";`],
-  ["test-exports-bun", (p) => `export * from "langchain/${p}";`],
-];
-
-/**
- * 
- * @param {string} relativePath 
- * @param {(json: Record<string, unknown>) => Record<string, unknown>} updateFunction 
- */
-const updateJsonFile = (
-  relativePath,
-  updateFunction
-) => {
-  const contents = fs.readFileSync(relativePath).toString();
-  const res = updateFunction(JSON.parse(contents));
-  fs.writeFileSync(relativePath, `${JSON.stringify(res, null, 2)}\n`);
-};
-
-/**
- * @param {Record<string, string>} entrypoints 
- * @returns {Record<string, string>}
- */
-const generateFiles = (
-  entrypoints
-) => {
-  const files = [...Object.entries(entrypoints)].flatMap(([key, value]) => {
-    const nrOfDots = key.split("/").length - 1;
-    const relativePath = "../".repeat(nrOfDots) || "./";
-    const compiledPath = `${relativePath}dist/${value}.js`;
-    return [
-      [
-        `${key}.cjs`,
-        `module.exports = require('${relativePath}dist/${value}.cjs');`,
-      ],
-      [`${key}.js`, `export * from '${compiledPath}'`],
-      [`${key}.d.ts`, `export * from '${compiledPath}'`],
-      [`${key}.d.cts`, `export * from '${compiledPath}'`],
-    ];
-  });
-
-  return Object.fromEntries(files);
-};
-
-const updateConfig = ({
-  /** @type {Record<string, string>} */
-  entrypoints,
-  /** @type {Array<string>} */
-  deprecatedNodeOnly,
-  /** @type {Array<string>} */
-  requiresOptionalDependency,
-  /** @type {boolean} */
-  shouldTestExports,
-  /** @type {Array<string> | undefined} */
-  additionalGitignorePaths = [],
-}) => {
-  const generatedFiles = generateFiles(entrypoints);
-  const filenames = Object.keys(generatedFiles);
-
-  // Update package.json `exports` and `files` fields
-  updateJsonFile("./package.json", (json) => ({
-    ...json,
-    exports: Object.assign(
-      Object.fromEntries(
-        [...Object.keys(entrypoints)].map((key) => {
-          const entryPoint = {
-            types: {
-              import: `./${key}.d.ts`,
-              require: `./${key}.d.cts`,
-              default: `./${key}.d.ts`,
-            },
-            import: `./${key}.js`,
-            require: `./${key}.cjs`,
-          };
-
-          return [key === "index" ? "." : `./${key}`, entryPoint];
-        })
-      ),
-      { "./package.json": "./package.json" }
-    ),
-    files: ["dist/", ...filenames],
-  }));
-
-  // Write generated files
-  Object.entries(generatedFiles).forEach(([filename, content]) => {
-    fs.mkdirSync(path.dirname(filename), { recursive: true });
-    fs.writeFileSync(filename, content);
-  });
-
-  const gitignorePaths = [...filenames, ...DEFAULT_GITIGNORE_PATHS, ...(additionalGitignorePaths ? additionalGitignorePaths : [])];
-
-  // Update .gitignore
-  fs.writeFileSync(
-    "./.gitignore",
-    `${gitignorePaths.join("\n")}\n`
-  );
-
-  if (shouldTestExports) {
-    // Update test-exports-*/entrypoints.js
-    const entrypointsToTest = Object.keys(entrypoints)
-      .filter((key) => !deprecatedNodeOnly.includes(key))
-      .filter((key) => !requiresOptionalDependency.includes(key));
-    testExports.forEach(([pkg, importStatement]) => {
-      const contents = `${entrypointsToTest
-        .map((key) => importStatement(key))
-        .join("\n")}\n`;
-      fs.writeFileSync(
-        `../environment_tests/${pkg}/src/entrypoints.js`,
-        contents
-      );
-    });
-  }
-};
-
-const cleanGenerated = ({
-  /** @type {Record<string, string>} */
-  entrypoints,
-}) => {
-  const filenames = Object.keys(generateFiles(entrypoints));
-  filenames.forEach((fname) => {
-    try {
-      fs.unlinkSync(fname);
-    } catch {
-      // ignore error
-    }
-  });
-};
-
-// Tuple describing the auto-generated import map (used by langchain/load)
-// [package name, import statement, import map path]
-// This will not include entrypoints deprecated or requiring optional deps.
-/**
- * 
- * @param {string | null} packageSuffix 
- * @returns {[string, (k: string, p: string) => string, string]}
- */
-const importMap = (
-  packageSuffix
-) => [
-    `langchain${packageSuffix ? `-${packageSuffix}` : ""}`,
-    (k, p) =>
-      `export * as ${k.replace(/\//g, "__")} from "../${p}.js";`,
-    "src/load/import_map.ts",
-  ];
-
-const generateImportMap = ({
-  /** @type {Record<string, string>} */
-  entrypoints,
-  /** @type {Array<string>} */
-  requiresOptionalDependency,
-  /** @type {Array<string>} */
-  deprecatedNodeOnly,
-  /** @type {Array<string>} */
-  deprecatedOmitFromImportMap,
-  /** @type {string | null} */
-  packageSuffix,
-  /** @type {Array<ExtraImportMapEntry>} */
-  extraImportMapEntries,
-}) => {
-  // Generate import map
-  const entrypointsToInclude = Object.keys(entrypoints)
-    .filter((key) => key !== "load")
-    .filter((key) => !deprecatedNodeOnly.includes(key))
-    .filter((key) => !requiresOptionalDependency.includes(key))
-    .filter((key) => !deprecatedOmitFromImportMap.includes(key));
-  const [pkg, importStatement, importMapPath] = importMap(packageSuffix);
-  const contents = `${entrypointsToInclude
-    .map((key) => importStatement(key, entrypoints[key]))
-    .join("\n")}\n`;
-  const extraImportData = extraImportMapEntries.reduce(
-    (data, { modules, alias, path }) => {
-      const newData = { ...data };
-      if (!newData.imports[path]) {
-        newData.imports[path] = [];
-      }
-      newData.imports[path] = [
-        ...new Set(newData.imports[path].concat(modules)),
-      ];
-      const exportAlias = alias.join("__");
-      if (!newData.exportedAliases[exportAlias]) {
-        newData.exportedAliases[exportAlias] = [];
-      }
-      newData.exportedAliases[exportAlias] =
-        newData.exportedAliases[exportAlias].concat(modules);
-      return newData;
-    },
-    {
-      imports: {},
-      exportedAliases: {},
-    }
-  );
-  const extraImportStatements = Object.entries(extraImportData.imports).map(
-    ([path, modules]) =>
-      `import {\n  ${modules.join(",\n  ")}\n} from "${path}";`
-  );
-  const extraDeclarations = Object.entries(extraImportData.exportedAliases).map(
-    ([exportAlias, modules]) =>
-      [
-        `const ${exportAlias} = {\n  ${modules.join(",\n  ")}\n};`,
-        `export { ${exportAlias} };`,
-      ].join("\n")
-  );
-  let extraContent = `${extraImportStatements.join(
-    "\n"
-  )}\n${extraDeclarations.join("\n")}\n`;
-
-  extraContent.trim();
-  if (!/[a-zA-Z0-9]/.test(extraContent)) {
-    extraContent = ""
-  }
-
-  fs.writeFileSync(
-    `../${pkg}/${importMapPath}`,
-    `// Auto-generated by \`scripts/create-entrypoints.js\`. Do not edit manually.\n\n${contents}${extraContent}`
-  );
-};
-
-/**
- * 
- * @param {string | null} packageSuffix 
- * @returns {[string, string]}
- */
-const importTypes = (packageSuffix) => [
-  `langchain${packageSuffix ? `-${packageSuffix}` : ""}`,
-  "src/load/import_type.ts",
-];
-
-const generateImportTypes = ({
-  /** @type {string} */
-  absTsConfigPath,
-  /** @type {string | null} */
-  packageSuffix,
-}) => {
-  // Generate import types
-  const [pkg, importTypesPath] = importTypes(packageSuffix);
-
-  fs.writeFileSync(
-    `../${pkg}/${importTypesPath}`,
-    `// Auto-generated by \`scripts/create-entrypoints.js\`. Do not edit manually.
-
-export interface OptionalImportMap {}
-
-export interface SecretMap {
-${[...identifySecrets(absTsConfigPath)]
-      .sort()
-      .map((secret) => `  ${secret}?: string;`)
-      .join("\n")}
-}
-`
-  );
-};
-
-/**
- * @param {string | null} packageSuffix 
- * @returns {[string, (k: string) => string, string]}
- */
-const importConstants = (
-  packageSuffix
-) => [
-    `langchain${packageSuffix ? `-${packageSuffix}` : ""}`,
-    (k) =>
-      `  "langchain${packageSuffix ? `_${packageSuffix}` : ""}/${k}"`,
-    "src/load/import_constants.ts",
-  ];
-
-const generateImportConstants = ({
-  /** @type {Record<string, string>} */
-  entrypoints,
-  /** @type {Array<string>} */
-  requiresOptionalDependency,
-  /** @type {Array<string>} */
-  deprecatedNodeOnly,
-  /** @type {string | null} */
-  packageSuffix,
-}) => {
-  // Generate import constants
-  const entrypointsToInclude = Object.keys(entrypoints)
-    .filter((key) => !deprecatedNodeOnly.includes(key))
-    .filter((key) => requiresOptionalDependency.includes(key));
-  const [pkg, importStatement, importConstantsPath] =
-    importConstants(packageSuffix);
-  const contents =
-    entrypointsToInclude.length > 0
-      ? `\n${entrypointsToInclude
-        .map((key) => importStatement(key))
-        .join(",\n")},\n];\n`
-      : "];\n";
-  fs.writeFileSync(
-    `../${pkg}/${importConstantsPath}`,
-    `// Auto-generated by \`scripts/create-entrypoints.js\`. Do not edit manually.\n\nexport const optionalImportEntrypoints: string[] = [${contents}`
-  );
-};
-
-export function createEntrypoints({
-  /**
-   * This lists all the entrypoints for the library. Each key corresponds to an
-   * importable path, eg. `import { AgentExecutor } from "langchain/agents"`.
-   * The value is the path to the file in `src/` that exports the entrypoint.
-   * This is used to generate the `exports` field in package.json.
-   * Order is not important.
-   * @type {Record<string, string>}
-   */
-  entrypoints,
-  /**
-   * Entrypoints in this list require an optional dependency to be installed.
-   * Therefore they are not tested in the generated test-exports-* packages.
-   * @type {undefined | string[]}
-   */
-  requiresOptionalDependency = [],
-  /**
-   * Entrypoints in this list will
-   * 1. Be excluded from the documentation
-   * 2. Be only available in Node.js environments (for backwards compatibility)
-   * @type {undefined | string[]}
-   */
-  deprecatedNodeOnly = [],
-  /**
-   * Endpoints that are deprecated due to redundancy. Will not appear in the import map.
-   * @type {string[]}
-   */
-  deprecatedOmitFromImportMap = [],
-  /**
-   * The suffix of the package. Eg. `community` for `@langchain/community`.
-   * Used in the generated import map.
-   * @type {undefined | string}
-   */
-  packageSuffix,
-  /**
-   * Whether or not to write to the test exports files. At the moment this only
-   * applies to the `langchain` package.
-   * @type {undefined | boolean}
-   */
-  shouldTestExports = false,
-  /**
-   * Extra entries to add to the import map.
-   * @type {undefined | Array<ExtraImportMapEntry>}
-   */
-  extraImportMapEntries = [],
-  /**
-   * The absolute path to the tsconfig.json file.
-   * @type {string}
-   */
-  absTsConfigPath,
-  /**
-   * Whether or not the pre command was passed.
-   * @type {boolean}
-   */
-  isPre,
-  /**
-   * Whether or not to generate import maps
-   * @type {boolean}
-   */
-  shouldGenMaps,
-  /**
-   * Additional paths to add to the .gitignore file.
-   * @type {Array<string> | undefined}
-   */
-  additionalGitignorePaths,
-}) {
-  if (isPre) {
-    cleanGenerated({ entrypoints });
-    if (shouldGenMaps) {
-      generateImportMap({
-        entrypoints,
-        requiresOptionalDependency,
-        deprecatedNodeOnly,
-        deprecatedOmitFromImportMap,
-        packageSuffix: packageSuffix ?? null,
-        extraImportMapEntries,
-      });
-      generateImportTypes({
-        absTsConfigPath,
-        packageSuffix: packageSuffix ?? null,
-      });
-      generateImportConstants({
-        entrypoints,
-        requiresOptionalDependency,
-        deprecatedNodeOnly,
-        packageSuffix: packageSuffix ?? null,
-      });
-    }
-  } else {
-    updateConfig({
-      entrypoints,
-      deprecatedNodeOnly,
-      requiresOptionalDependency,
-      shouldTestExports,
-      additionalGitignorePaths,
-    });
-  }
-}
-
-
-// --------SCRIPT CONTENT--------
-
-async function main() {
-  const program = new Command();
-  program
-    .description("Run a build script for a LangChain package.")
-    .option(
-      "--config <config>",
-      "Path to the config file, defaults to ./langchain.config.js"
-    )
-    .option(
-      "--create-entrypoints",
-      "Pass only if you want to create entrypoints"
-    )
-    .option("--tree-shaking", "Pass only if you want to check tree shaking")
-    .option("--move-cjs-dist", "Pass only if you want to move cjs to dist")
-    .option("--pre")
-    .option("--gen-maps");
-
-  program.parse();
-
-  const options = program.opts();
-
-  const shouldCreateEntrypoints = options.createEntrypoints;
-  const shouldCheckTreeShaking = options.treeShaking;
-  const shouldMoveCjsDist = options.moveCjsDist;
-  const isPre = options.pre;
-  const shouldGenMaps = options.genMaps;
-  const configFilePath = options.config ?? "./langchain.config.js";
-  const resolvedConfigPath = path.resolve(process.cwd(), configFilePath);
-
-  /** @type {LangChainConfig} */
-  let config;
-  try {
-    const { config: lcConfig } = await import(resolvedConfigPath);
-    if (!_verifyObjectIsLangChainConfig(lcConfig)) {
-      throw new Error("Invalid config object.");
-    }
-    config = lcConfig;
-  } catch (e) {
-    console.error(
-      `Failed to read config file at path: ${configFilePath}.\n\n${e}`
-    );
-    process.exit(1);
-  }
-
-  if (
-    [shouldCreateEntrypoints, shouldCheckTreeShaking, shouldMoveCjsDist].filter(
-      Boolean
-    ).length > 1
-  ) {
-    console.error(
-      "Can only run one script at a time. Please pass only one of --create-entrypoints, --tree-shaking, --move-cjs-dist"
-    );
-    process.exit(1);
-  }
-
-  if (
-    [shouldCreateEntrypoints, shouldCheckTreeShaking, shouldMoveCjsDist].filter(
-      Boolean
-    ).length === 0
-  ) {
-    console.error(
-      "No script specified. Please pass one of --create-entrypoints, --tree-shaking, --move-cjs-dist"
-    );
-    process.exit(1);
-  }
-
-  if (
-    (isPre || shouldGenMaps) &&
-    [shouldCheckTreeShaking, shouldMoveCjsDist].filter(Boolean).length >= 1
-  ) {
-    console.error(
-      "Can not pass --pre or --gen-maps with --tree-shaking or --move-cjs-dist"
-    );
-    process.exit(1);
-  }
-
-  if (shouldCreateEntrypoints) {
-    createEntrypoints({
-      entrypoints: config.entrypoints,
-      requiresOptionalDependency: config.requiresOptionalDependency,
-      deprecatedNodeOnly: config.deprecatedNodeOnly,
-      deprecatedOmitFromImportMap: config.deprecatedOmitFromImportMap,
-      packageSuffix: config.packageSuffix,
-      shouldTestExports: config.shouldTestExports,
-      extraImportMapEntries: config.extraImportMapEntries,
-      absTsConfigPath: config.tsConfigPath,
-      isPre,
-      shouldGenMaps,
-      additionalGitignorePaths: config.additionalGitignorePaths,
-    });
-  }
-
-  if (shouldCheckTreeShaking) {
-    await checkTreeShaking({
-      extraInternals: config.internals,
-    });
-  }
-
-  if (shouldMoveCjsDist) {
-    await moveAndRename({
-      source: config.cjsSource,
-      dest: config.cjsDestination,
-      abs: config.abs,
-    });
-  }
-}
-
-/* #__PURE__ */ main().catch((e) => {
-  console.error(e);
-  process.exit(1);
-});
+import "../dist/build/index.js";
diff --git a/libs/langchain-scripts/bin/build_v2.js b/libs/langchain-scripts/bin/build_v2.js
deleted file mode 100755
index 0e57864f2fe0..000000000000
--- a/libs/langchain-scripts/bin/build_v2.js
+++ /dev/null
@@ -1 +0,0 @@
-import "../dist/build_v2.js";
diff --git a/libs/langchain-scripts/langchain.config.js b/libs/langchain-scripts/langchain.config.js
index 64ea4089853a..1d83aa030070 100644
--- a/libs/langchain-scripts/langchain.config.js
+++ b/libs/langchain-scripts/langchain.config.js
@@ -13,7 +13,7 @@ export const config = {
   internals: [/node\:/],
   entrypoints: {
     index: "index",
-    build: "build",
+    build: "build/index",
     migrations: "migrations/index",
     check_broken_links: "check_broken_links",
   },
diff --git a/libs/langchain-scripts/package.json b/libs/langchain-scripts/package.json
index bd069a48e35f..db77d0a36d68 100644
--- a/libs/langchain-scripts/package.json
+++ b/libs/langchain-scripts/package.json
@@ -14,15 +14,14 @@
   },
   "homepage": "https://github.com/langchain-ai/langchainjs/tree/main/libs/langchain-scripts/",
   "bin": {
-    "lc-build": "bin/build.js",
-    "lc_build_v2": "bin/build_v2.js",
+    "lc_build": "bin/build.js",
     "notebook_validate": "bin/validate_notebook.js"
   },
   "scripts": {
-    "build": "yarn turbo:command build:internal --filter=@langchain/scripts",
+    "build": "yarn clean && yarn turbo:command build:internal --filter=@langchain/scripts",
     "build:internal": "tsc --project ./tsconfig.build.json && yarn move:artifacts && yarn build:generated",
     "move:artifacts": "mkdir -p ./dist && mv ./dist_build/* ./dist/",
-    "build:generated": "node bin/build_v2.js --create-entrypoints --pre --tree-shaking",
+    "build:generated": "node bin/build.js --create-entrypoints --pre --tree-shaking",
     "build:turbo": "yarn turbo:command build --filter=@langchain/scripts",
     "lint:eslint": "NODE_OPTIONS=--max-old-space-size=4096 eslint --cache --ext .ts,.js src/",
     "lint:dpdm": "dpdm --exit-code circular:1 --no-warning --no-tree src/*.ts src/**/*.ts",
diff --git a/libs/langchain-scripts/src/build.ts b/libs/langchain-scripts/src/build.ts
deleted file mode 100644
index 64468ed968e3..000000000000
--- a/libs/langchain-scripts/src/build.ts
+++ /dev/null
@@ -1,121 +0,0 @@
-#!/usr/bin/env node
-
-import { Command } from "commander";
-import path from "node:path";
-import { createEntrypoints } from "./create-entrypoints.js";
-import { checkTreeShaking } from "./check-tree-shaking.js";
-import { moveAndRename } from "./move-cjs-to-dist.js";
-import type { LangChainConfig } from "./types.js";
-import { _verifyObjectIsLangChainConfig } from "./utils.js";
-
-export type { LangChainConfig } from "./types.js";
-
-async function main() {
-  const program = new Command();
-  program
-    .description("Run a build script for a LangChain package.")
-    .option(
-      "--config <config>",
-      "Path to the config file, defaults to ./langchain.config.js"
-    )
-    .option(
-      "--create-entrypoints",
-      "Pass only if you want to create entrypoints"
-    )
-    .option("--tree-shaking", "Pass only if you want to check tree shaking")
-    .option("--move-cjs-dist", "Pass only if you want to move cjs to dist")
-    .option("--pre")
-    .option("--gen-maps");
-
-  program.parse();
-
-  const options = program.opts();
-
-  const shouldCreateEntrypoints = options.createEntrypoints;
-  const shouldCheckTreeShaking = options.treeShaking;
-  const shouldMoveCjsDist = options.moveCjsDist;
-  const isPre = options.pre;
-  const shouldGenMaps = options.genMaps;
-  const configFilePath = options.config ?? "./langchain.config.js";
-  const resolvedConfigPath = path.resolve(process.cwd(), configFilePath);
-
-  let config: LangChainConfig;
-  try {
-    const { config: lcConfig } = await import(resolvedConfigPath);
-    if (!_verifyObjectIsLangChainConfig(lcConfig)) {
-      throw new Error("Invalid config object.");
-    }
-    config = lcConfig;
-  } catch (e) {
-    console.error(
-      `Failed to read config file at path: ${configFilePath}.\n\n${e}`
-    );
-    process.exit(1);
-  }
-
-  if (
-    [shouldCreateEntrypoints, shouldCheckTreeShaking, shouldMoveCjsDist].filter(
-      Boolean
-    ).length > 1
-  ) {
-    console.error(
-      "Can only run one script at a time. Please pass only one of --create-entrypoints, --tree-shaking, --move-cjs-dist"
-    );
-    process.exit(1);
-  }
-
-  if (
-    [shouldCreateEntrypoints, shouldCheckTreeShaking, shouldMoveCjsDist].filter(
-      Boolean
-    ).length === 0
-  ) {
-    console.error(
-      "No script specified. Please pass one of --create-entrypoints, --tree-shaking, --move-cjs-dist"
-    );
-    process.exit(1);
-  }
-
-  if (
-    (isPre || shouldGenMaps) &&
-    [shouldCheckTreeShaking, shouldMoveCjsDist].filter(Boolean).length >= 1
-  ) {
-    console.error(
-      "Can not pass --pre or --gen-maps with --tree-shaking or --move-cjs-dist"
-    );
-    process.exit(1);
-  }
-
-  if (shouldCreateEntrypoints) {
-    createEntrypoints({
-      entrypoints: config.entrypoints,
-      requiresOptionalDependency: config.requiresOptionalDependency,
-      deprecatedNodeOnly: config.deprecatedNodeOnly,
-      deprecatedOmitFromImportMap: config.deprecatedOmitFromImportMap,
-      packageSuffix: config.packageSuffix,
-      shouldTestExports: config.shouldTestExports,
-      extraImportMapEntries: config.extraImportMapEntries,
-      absTsConfigPath: config.tsConfigPath,
-      isPre,
-      shouldGenMaps,
-    });
-  }
-
-  if (shouldCheckTreeShaking) {
-    await checkTreeShaking({
-      extraInternals: config.internals,
-    });
-  }
-
-  if (shouldMoveCjsDist) {
-    await moveAndRename({
-      source: config.cjsSource,
-      dest: config.cjsDestination,
-      abs: config.abs,
-    });
-  }
-}
-
-/* #__PURE__ */ main().catch((e) => {
-  console.error(e);
-  process.exit(1);
-});
diff --git a/libs/langchain-scripts/src/build_v2.ts b/libs/langchain-scripts/src/build/index.ts
similarity index 93%
rename from libs/langchain-scripts/src/build_v2.ts
rename to libs/langchain-scripts/src/build/index.ts
index 4c4b42653c60..0efb6f720379 100644
--- a/libs/langchain-scripts/src/build_v2.ts
+++ b/libs/langchain-scripts/src/build/index.ts
@@ -5,7 +5,8 @@ import { Command } from "commander";
 import { rollup } from "@rollup/wasm-node";
 import path from "node:path";
 import { glob } from "glob";
-import { ExportsMapValue, ImportData, LangChainConfig } from "./types.js";
+import { setTimeout } from "node:timers/promises";
+import { ExportsMapValue, ImportData, LangChainConfig } from "../types.js";
 
 async function asyncSpawn(command: string, args: string[]) {
   return new Promise<void>((resolve, reject) => {
@@ -28,47 +29,55 @@ async function asyncSpawn(command: string, args: string[]) {
   });
 }
 
-const deleteFolderRecursive = async function (inputPath: string) {
-  try {
-    // Verify the path exists
-    if (
-      await fs.promises
-        .access(inputPath)
-        .then(() => true)
-        .catch(() => false)
-    ) {
-      const pathStat = await fs.promises.lstat(inputPath);
-      // If it's a file, delete it and return
-      if (pathStat.isFile()) {
-        await fs.promises.unlink(inputPath);
-      } else if (pathStat.isDirectory()) {
-        // List contents of directory
-        const directoryContents = await fs.promises.readdir(inputPath);
-        if (directoryContents.length) {
-          for await (const item of directoryContents) {
-            const itemStat = await fs.promises.lstat(
-              path.join(inputPath, item)
-            );
-            if (itemStat.isFile()) {
-              // Delete file
-              await fs.promises.unlink(path.join(inputPath, item));
-            } else if (itemStat.isDirectory()) {
-              await deleteFolderRecursive(path.join(inputPath, item));
+const deleteFolderRecursive = async function (
+  inputPath: string,
+  retries = 3,
+  delay = 100
+) {
+  for (let attempt = 0; attempt < retries; attempt += 1) {
+    try {
+      // Verify the path exists
+      if (
+        await fs.promises
+          .access(inputPath)
+          .then(() => true)
+          .catch(() => false)
+      ) {
+        const pathStat = await fs.promises.lstat(inputPath);
+        // If it's a file, delete it and return
+        if (pathStat.isFile()) {
+          await fs.promises.unlink(inputPath);
+        } else if (pathStat.isDirectory()) {
+          // List contents of directory
+          const directoryContents = await fs.promises.readdir(inputPath);
+          if (directoryContents.length) {
+            for await (const item of directoryContents) {
+              await deleteFolderRecursive(
+                path.join(inputPath, item),
+                retries,
+                delay
+              );
             }
           }
-        } else if (directoryContents.length === 0) {
-          // If the directory is empty, delete it
+          // If the directory is empty or all contents have been deleted, delete it
           await fs.promises.rmdir(inputPath);
         }
       }
+      // If we reach here, the operation was successful
+      return;
+      // eslint-disable-next-line @typescript-eslint/no-explicit-any
+    } catch (error: any) {
+      if (error.code === "ENOENT") {
+        // File or directory doesn't exist, consider it deleted
+        return;
+      }
+      if (attempt === retries - 1) {
+        // If this was the last attempt, throw the error
+        throw error;
+      }
+      // Wait before the next attempt
+      await setTimeout(delay);
     }
-    // eslint-disable-next-line @typescript-eslint/no-explicit-any
-  } catch (error: any) {
-    if (error.code !== "ENOENT") {
-      // If the error is not "file or directory doesn't exist", rethrow it
-      throw error;
-    }
-    // Otherwise, ignore the error (file or directory already doesn't exist)
   }
 };
 
diff --git a/libs/langchain-scripts/src/utils.ts b/libs/langchain-scripts/src/build/utils.ts
similarity index 98%
rename from libs/langchain-scripts/src/utils.ts
rename to libs/langchain-scripts/src/build/utils.ts
index 2189cdfa2c29..1f2210f87a36 100644
--- a/libs/langchain-scripts/src/utils.ts
+++ b/libs/langchain-scripts/src/build/utils.ts
@@ -1,4 +1,4 @@
-import { LangChainConfig } from "./types.js";
+import { LangChainConfig } from "../types.js";
 
 export function _verifyObjectIsLangChainConfig(
   // eslint-disable-next-line @typescript-eslint/no-explicit-any
diff --git a/libs/langchain-scripts/src/check-tree-shaking.ts b/libs/langchain-scripts/src/check-tree-shaking.ts
deleted file mode 100644
index cabec3b60200..000000000000
--- a/libs/langchain-scripts/src/check-tree-shaking.ts
+++ /dev/null
@@ -1,122 +0,0 @@
-import fs from "node:fs/promises";
-import { rollup } from "rollup";
-import { ExportsMapValue, PackageJSON, TreeShakingArgs } from "./types.js";
-
-async function getPackageJson(): Promise<PackageJSON> {
-  return JSON.parse(await fs.readFile("package.json", "utf-8"));
-}
-
-async function listEntrypoints() {
-  const { exports } = await getPackageJson();
-  const exportsWithoutPackageJSON: Record<
-    string,
-    ExportsMapValue | string
-  > | null = exports
-    ? Object.entries(exports)
-        .filter(([k]) => k !== "./package.json")
-        .reduce((acc, [k, v]) => ({ ...acc, [k]: v }), {})
-    : null;
-
-  if (!exportsWithoutPackageJSON) {
-    throw new Error("No exports found in package.json");
-  }
-  const entrypoints: string[] = [];
-
-  for (const [key, value] of Object.entries(exportsWithoutPackageJSON)) {
-    if (key === "./package.json") {
-      continue;
-    }
-    if (typeof value === "string") {
-      entrypoints.push(value);
-    } else if (
-      "import" in value &&
-      value.import &&
-      typeof value.import === "string"
-    ) {
-      entrypoints.push(value.import);
-    }
-  }
-
-  return entrypoints;
-}
-
-/**
- *
- * @param {Array<string | RegExp> | undefined} extraInternals
- * @default [...Object.keys(packageJson.dependencies ?? {}), ...Object.keys(packageJson.peerDependencies ?? {})]
- * @returns {Promise<Array<string | RegExp>>}
- */
-async function listExternals(
-  extraInternals: Array<string | RegExp>
-): Promise<Array<string | RegExp>> {
-  const packageJson = await getPackageJson();
-  return [
-    ...Object.keys(packageJson.dependencies ?? {}),
-    ...Object.keys(packageJson.peerDependencies ?? {}),
-    ...extraInternals,
-  ];
-}
-
-export async function checkTreeShaking(options?: TreeShakingArgs) {
-  const externals = await listExternals(options?.extraInternals ?? []);
-  const entrypoints = await listEntrypoints();
-  const consoleInfo = console.info;
-  const reportMap: Map<
-    string,
-    {
-      log: string;
-      hasUnexpectedSideEffects: boolean;
-    }
-  > = new Map();
-
-  for (const entrypoint of entrypoints) {
-    let sideEffects = "";
-
-    console.info = function (...args) {
-      const line = args.length ? args.join(" ") : "";
-      if (line.includes("First side effect in")) {
-        sideEffects += `${line}\n`;
-      }
-    };
-
-    await rollup({
-      external: externals,
-      input: entrypoint,
-      experimentalLogSideEffects: true,
-    });
-
-    let hasUnexpectedSideEffects = sideEffects.length > 0;
-    if (hasUnexpectedSideEffects) {
-      const entrypointContent = await fs.readFile(
-        `./dist/${entrypoint.replace(/^\.\//, "")}`
-      );
-      // Allow escaping side effects strictly within code directly
-      // within an entrypoint
-      hasUnexpectedSideEffects = !entrypointContent
-        .toString()
-        .includes("/* __LC_ALLOW_ENTRYPOINT_SIDE_EFFECTS__ */");
-    }
-    reportMap.set(entrypoint, {
-      log: sideEffects,
-      hasUnexpectedSideEffects,
-    });
-  }
-
-  console.info = consoleInfo;
-
-  let failed = false;
-  for (const [entrypoint, report] of reportMap) {
-    if (report.hasUnexpectedSideEffects) {
-      failed = true;
-      console.log("---------------------------------");
-      console.log(`Tree shaking failed for ${entrypoint}`);
-      console.log(report.log);
-    }
-  }
-
-  if (failed) {
-    throw new Error("Tree shaking checks failed.");
-  } else {
-    console.log("Tree shaking checks passed!");
-  }
-}
diff --git a/libs/langchain-scripts/src/create-entrypoints.ts b/libs/langchain-scripts/src/create-entrypoints.ts
deleted file mode 100644
index 5c96d2bbfb4d..000000000000
--- a/libs/langchain-scripts/src/create-entrypoints.ts
+++ /dev/null
@@ -1,385 +0,0 @@
-import * as fs from "node:fs";
-import * as path from "node:path";
-import { identifySecrets } from "./identify-secrets.js";
-import type { ExtraImportMapEntry, ImportData } from "./types.js";
-
-// .gitignore
-const DEFAULT_GITIGNORE_PATHS = ["node_modules", "dist", ".yarn"];
-
-// List of test-exports-* packages which we use to test that the exports field
-// works correctly across different JS environments.
-// Each entry is a tuple of [package name, import statement].
-const testExports: Array<[string, (p: string) => string]> = [
-  [
-    "test-exports-esm",
-    (p: string) =>
-      `import * as ${p.replace(/\//g, "_")} from "langchain/${p}";`,
-  ],
-  [
-    "test-exports-esbuild",
-    (p: string) =>
-      `import * as ${p.replace(/\//g, "_")} from "langchain/${p}";`,
-  ],
-  [
-    "test-exports-cjs",
-    (p: string) =>
-      `const ${p.replace(/\//g, "_")} = require("langchain/${p}");`,
-  ],
-  ["test-exports-cf", (p: string) => `export * from "langchain/${p}";`],
-  ["test-exports-vercel", (p: string) => `export * from "langchain/${p}";`],
-  ["test-exports-vite", (p: string) => `export * from "langchain/${p}";`],
-  ["test-exports-bun", (p: string) => `export * from "langchain/${p}";`],
-];
-
-const updateJsonFile = (
-  relativePath: string,
-  updateFunction: (json: Record<string, unknown>) => Record<string, unknown>
-) => {
-  const contents = fs.readFileSync(relativePath).toString();
-  const res = updateFunction(JSON.parse(contents));
-  fs.writeFileSync(relativePath, `${JSON.stringify(res, null, 2)}\n`);
-};
-
-const generateFiles = (
-  entrypoints: Record<string, string>
-): Record<string, string> => {
-  const files = [...Object.entries(entrypoints)].flatMap(([key, value]) => {
-    const nrOfDots = key.split("/").length - 1;
-    const relativePath = "../".repeat(nrOfDots) || "./";
-    const compiledPath = `${relativePath}dist/${value}.js`;
-    return [
-      [
-        `${key}.cjs`,
-        `module.exports = require('${relativePath}dist/${value}.cjs');`,
-      ],
-      [`${key}.js`, `export * from '${compiledPath}'`],
-      [`${key}.d.ts`, `export * from '${compiledPath}'`],
-      [`${key}.d.cts`, `export * from '${compiledPath}'`],
-    ];
-  });
-
-  return Object.fromEntries(files);
-};
-
-const updateConfig = ({
-  entrypoints,
-  deprecatedNodeOnly,
-  requiresOptionalDependency,
-  shouldTestExports,
-}: {
-  entrypoints: Record<string, string>;
-  deprecatedNodeOnly: Array<string>;
-  requiresOptionalDependency: Array<string>;
-  shouldTestExports: boolean;
-}) => {
-  const generatedFiles = generateFiles(entrypoints);
-  const filenames = Object.keys(generatedFiles);
-
-  // Update package.json `exports` and `files` fields
-  updateJsonFile("./package.json", (json) => ({
-    ...json,
-    exports: Object.assign(
-      Object.fromEntries(
-        [...Object.keys(entrypoints)].map((key) => {
-          const entryPoint = {
-            types: {
-              import: `./${key}.d.ts`,
-              require: `./${key}.d.cts`,
-              default: `./${key}.d.ts`,
-            },
-            import: `./${key}.js`,
-            require: `./${key}.cjs`,
-          };
-
-          return [key === "index" ? "." : `./${key}`, entryPoint];
-        })
-      ),
-      { "./package.json": "./package.json" }
-    ),
-    files: ["dist/", ...filenames],
-  }));
-
-  // Write generated files
-  Object.entries(generatedFiles).forEach(([filename, content]) => {
-    fs.mkdirSync(path.dirname(filename), { recursive: true });
-    fs.writeFileSync(filename, content);
-  });
-
-  // Update .gitignore
-  fs.writeFileSync(
-    "./.gitignore",
-    `${filenames.join("\n")}\n${DEFAULT_GITIGNORE_PATHS.join("\n")}\n`
-  );
-
-  if (shouldTestExports) {
-    // Update test-exports-*/entrypoints.js
-    const entrypointsToTest = Object.keys(entrypoints)
-      .filter((key) => !deprecatedNodeOnly.includes(key))
-      .filter((key) => !requiresOptionalDependency.includes(key));
-    testExports.forEach(([pkg, importStatement]) => {
-      const contents = `${entrypointsToTest
-        .map((key) => importStatement(key))
-        .join("\n")}\n`;
-      fs.writeFileSync(
-        `../environment_tests/${pkg}/src/entrypoints.js`,
-        contents
-      );
-    });
-  }
-};
-
-const cleanGenerated = ({
-  entrypoints,
-}: {
-  entrypoints: Record<string, string>;
-}) => {
-  const filenames = Object.keys(generateFiles(entrypoints));
-  filenames.forEach((fname) => {
-    try {
-      fs.unlinkSync(fname);
-    } catch {
-      // ignore error
-    }
-  });
-};
-
-// Tuple describing the auto-generated import map (used by langchain/load)
-// [package name, import statement, import map path]
-const importMap = (
-  packageSuffix: string | null
-): [string, (k: string, p: string) => string, string] => [
-  `langchain${packageSuffix ? `-${packageSuffix}` : ""}`,
-  (k: string, p: string) =>
-    `export * as ${k.replace(/\//g, "__")} from "../${p}.js";`,
-  "src/load/import_map.ts",
-];
-
-const generateImportMap = ({
-  entrypoints,
-  requiresOptionalDependency,
-  deprecatedNodeOnly,
-  deprecatedOmitFromImportMap,
-  packageSuffix,
-  extraImportMapEntries,
-}: {
-  entrypoints: Record<string, string>;
-  requiresOptionalDependency: Array<string>;
-  deprecatedNodeOnly: Array<string>;
-  deprecatedOmitFromImportMap: Array<string>;
-  packageSuffix: string | null;
-  extraImportMapEntries: Array<ExtraImportMapEntry>;
-}) => {
-  // Generate import map
-  const entrypointsToInclude = Object.keys(entrypoints)
-    .filter((key) => key !== "load")
-    .filter((key) => !deprecatedNodeOnly.includes(key))
-    .filter((key) => !requiresOptionalDependency.includes(key))
-    .filter((key) => !deprecatedOmitFromImportMap.includes(key));
-  const [pkg, importStatement, importMapPath] = importMap(packageSuffix);
-  const contents = `${entrypointsToInclude
-    .map((key) => importStatement(key, entrypoints[key]))
-    .join("\n")}\n`;
-  const extraImportData = extraImportMapEntries.reduce<ImportData>(
-    (data, { modules, alias, path }) => {
-      const newData = { ...data };
-      if (!newData.imports[path]) {
-        newData.imports[path] = [];
-      }
-      newData.imports[path] = [
-        ...new Set(newData.imports[path].concat(modules)),
-      ];
-      const exportAlias = alias.join("__");
-      if (!newData.exportedAliases[exportAlias]) {
-        newData.exportedAliases[exportAlias] = [];
-      }
-      newData.exportedAliases[exportAlias] =
-        newData.exportedAliases[exportAlias].concat(modules);
-      return newData;
-    },
-    {
-      imports: {},
-      exportedAliases: {},
-    }
-  );
-  const extraImportStatements = Object.entries(extraImportData.imports).map(
-    ([path, modules]) =>
-      `import {\n  ${modules.join(",\n  ")}\n} from "${path}";`
-  );
-  const extraDeclarations = Object.entries(extraImportData.exportedAliases).map(
-    ([exportAlias, modules]) =>
-      [
-        `const ${exportAlias} = {\n  ${modules.join(",\n  ")}\n};`,
-        `export { ${exportAlias} };`,
-      ].join("\n")
-  );
-  const extraContent = `${extraImportStatements.join(
-    "\n"
-  )}\n${extraDeclarations.join("\n")}\n`;
-  fs.writeFileSync(
-    `../${pkg}/${importMapPath}`,
-    `// Auto-generated by \`scripts/create-entrypoints.js\`. Do not edit manually.\n\n${contents}${extraContent}`
-  );
-};
-
-const importTypes = (packageSuffix: string | null): [string, string] => [
-  `langchain${packageSuffix ? `-${packageSuffix}` : ""}`,
-  "src/load/import_type.ts",
-];
-
-const generateImportTypes = ({
-  absTsConfigPath,
-  packageSuffix,
-}: {
-  absTsConfigPath: string;
-  packageSuffix: string | null;
-}) => {
-  // Generate import types
-  const [pkg, importTypesPath] = importTypes(packageSuffix);
-
-  fs.writeFileSync(
-    `../${pkg}/${importTypesPath}`,
-    `// Auto-generated by \`scripts/create-entrypoints.js\`. Do not edit manually.
-
-export interface OptionalImportMap {}
-
-export interface SecretMap {
-${[...identifySecrets(absTsConfigPath)]
-  .sort()
-  .map((secret) => `  ${secret}?: string;`)
-  .join("\n")}
-}
-`
-  );
-};
-
-const importConstants = (
-  packageSuffix: string | null
-): [string, (k: string) => string, string] => [
-  `langchain${packageSuffix ? `-${packageSuffix}` : ""}`,
-  (k: string) =>
-    `  "langchain${packageSuffix ? `_${packageSuffix}` : ""}/${k}"`,
-  "src/load/import_constants.ts",
-];
-
-const generateImportConstants = ({
-  entrypoints,
-  requiresOptionalDependency,
-  deprecatedNodeOnly,
-  packageSuffix,
-}: {
-  entrypoints: Record<string, string>;
-  requiresOptionalDependency: Array<string>;
-  deprecatedNodeOnly: Array<string>;
-  packageSuffix: string | null;
-}) => {
-  // Generate import constants
-  const entrypointsToInclude = Object.keys(entrypoints)
-    .filter((key) => !deprecatedNodeOnly.includes(key))
-    .filter((key) => requiresOptionalDependency.includes(key));
-  const [pkg, importStatement, importConstantsPath] =
-    importConstants(packageSuffix);
-  const contents =
-    entrypointsToInclude.length > 0
-      ? `\n${entrypointsToInclude
-          .map((key) => importStatement(key))
-          .join(",\n")},\n];\n`
-      : "];\n";
-  fs.writeFileSync(
-    `../${pkg}/${importConstantsPath}`,
-    `// Auto-generated by \`scripts/create-entrypoints.js\`. Do not edit manually.\n\nexport const optionalImportEntrypoints: string[] = [${contents}`
-  );
-};
-
-export function createEntrypoints({
-  entrypoints,
-  requiresOptionalDependency = [],
-  deprecatedNodeOnly = [],
-  deprecatedOmitFromImportMap = [],
-  packageSuffix,
-  shouldTestExports = false,
-  extraImportMapEntries = [],
-  absTsConfigPath,
-  isPre,
-  shouldGenMaps,
-}: {
-  /**
-   * This lists all the entrypoints for the library. Each key corresponds to an
-   * importable path, eg. `import { AgentExecutor } from "langchain/agents"`.
-   * The value is the path to the file in `src/` that exports the entrypoint.
-   * This is used to generate the `exports` field in package.json.
-   * Order is not important.
-   */
-  entrypoints: Record<string, string>;
-  /**
-   * Entrypoints in this list require an optional dependency to be installed.
-   * Therefore they are not tested in the generated test-exports-* packages.
-   */
-  requiresOptionalDependency?: string[];
-  /**
-   * Entrypoints in this list will
-   * 1. Be excluded from the documentation
-   * 2. Be only available in Node.js environments (for backwards compatibility)
-   */
-  deprecatedNodeOnly?: string[];
-  /**
-   * Endpoints that are deprecated due to redundancy. Will not appear in the import map.
-   */
-  deprecatedOmitFromImportMap?: string[];
-  /**
-   * The suffix of the package. Eg. `community` for `@langchain/community`.
-   * Used in the generated import map.
-   */
-  packageSuffix?: string;
-  /**
-   * Whether or not to write to the test exports files. At the moment this only
-   * applies to the `langchain` package.
-   */
-  shouldTestExports?: boolean;
-  /**
-   * Extra entries to add to the import map.
-   */
-  extraImportMapEntries?: Array<ExtraImportMapEntry>;
-  /**
-   * The absolute path to the tsconfig.json file.
-   */
-  absTsConfigPath: string;
-  /**
-   * Whether or not the pre command was passed.
-   */
-  isPre: boolean;
-  /**
-   * Whether or not to generate import maps
-   */
-  shouldGenMaps: boolean;
-}) {
-  if (isPre) {
-    cleanGenerated({ entrypoints });
-    if (shouldGenMaps) {
-      generateImportMap({
-        entrypoints,
-        requiresOptionalDependency,
-        deprecatedNodeOnly,
-        deprecatedOmitFromImportMap,
-        packageSuffix: packageSuffix ?? null,
-        extraImportMapEntries,
-      });
-      generateImportTypes({
-        absTsConfigPath,
-        packageSuffix: packageSuffix ?? null,
-      });
-      generateImportConstants({
-        entrypoints,
-        requiresOptionalDependency,
-        deprecatedNodeOnly,
-        packageSuffix: packageSuffix ?? null,
-      });
-    }
-  } else {
-    updateConfig({
-      entrypoints,
-      deprecatedNodeOnly,
-      requiresOptionalDependency,
-      shouldTestExports,
-    });
-  }
-}
diff --git a/libs/langchain-scripts/src/identify-secrets.ts b/libs/langchain-scripts/src/identify-secrets.ts
deleted file mode 100644
index fe26009acd9c..000000000000
--- a/libs/langchain-scripts/src/identify-secrets.ts
+++ /dev/null
@@ -1,100 +0,0 @@
-import ts from "typescript";
-import * as fs from "node:fs";
-
-export function identifySecrets(absTsConfigPath: string) {
-  const secrets = new Set();
-
-  const tsConfig = ts.parseJsonConfigFileContent(
-    ts.readJsonConfigFile(absTsConfigPath, (p) => fs.readFileSync(p, "utf-8")),
-    ts.sys,
-    "./src/"
-  );
-
-  // `tsConfig.options.target` is not always defined when running this
-  // via the `@langchain/scripts` package. Instead, fallback to the raw
-  // tsConfig.json file contents.
-  const tsConfigFileContentsText =
-    "text" in tsConfig.raw
-      ? JSON.parse(tsConfig.raw.text as string)
-      : { compilerOptions: {} };
-
-  const tsConfigTarget =
-    tsConfig.options.target || tsConfigFileContentsText.compilerOptions.target;
-
-  for (const fileName of tsConfig.fileNames.filter(
-    (fn) => !fn.endsWith("test.ts")
-  )) {
-    if (!tsConfigTarget) {
-      continue;
-    }
-
-    const sourceFile = ts.createSourceFile(
-      fileName,
-      fs.readFileSync(fileName, "utf-8"),
-      tsConfigTarget,
-      true
-    );
-
-    sourceFile.forEachChild((node) => {
-      switch (node.kind) {
-        case ts.SyntaxKind.ClassDeclaration:
-        case ts.SyntaxKind.ClassExpression: {
-          node.forEachChild((node) => {
-            // look for get lc_secrets()
-            switch (node.kind) {
-              case ts.SyntaxKind.GetAccessor: {
-                const property = node;
-                if (
-                  ts.isGetAccessor(property) &&
-                  property.name.getText() === "lc_secrets"
-                ) {
-                  // look for return { ... }
-                  property.body?.statements.forEach((stmt) => {
-                    if (
-                      ts.isReturnStatement(stmt) &&
-                      stmt.expression &&
-                      ts.isObjectLiteralExpression(stmt.expression)
-                    ) {
-                      stmt.expression.properties.forEach((element) => {
-                        if (ts.isPropertyAssignment(element)) {
-                          // Type guard for PropertyAssignment
-                          if (
-                            element.initializer &&
-                            ts.isStringLiteral(element.initializer)
-                          ) {
-                            const secret = element.initializer.text;
-
-                            if (secret.toUpperCase() !== secret) {
-                              throw new Error(
-                                `Secret identifier must be uppercase: ${secret} at ${fileName}`
-                              );
-                            }
-                            if (/\s/.test(secret)) {
-                              throw new Error(
-                                `Secret identifier must not contain whitespace: ${secret} at ${fileName}`
-                              );
-                            }
-
-                            secrets.add(secret);
-                          }
-                        }
-                      });
-                    }
-                  });
-                }
-                break;
-              }
-              default:
-                break;
-            }
-          });
-          break;
-        }
-        default:
-          break;
-      }
-    });
-  }
-
-  return secrets;
-}
diff --git a/libs/langchain-scripts/src/move-cjs-to-dist.ts b/libs/langchain-scripts/src/move-cjs-to-dist.ts
deleted file mode 100644
index b809cb206ef6..000000000000
--- a/libs/langchain-scripts/src/move-cjs-to-dist.ts
+++ /dev/null
@@ -1,55 +0,0 @@
-import path from "node:path";
-import fs from "node:fs";
-
-export async function moveAndRename({
-  source,
-  dest,
-  abs,
-}: {
-  source: string;
-  dest: string;
-  abs: (p: string) => string;
-}) {
-  try {
-    for (const file of await fs.promises.readdir(abs(source), {
-      withFileTypes: true,
-    })) {
-      if (file.isDirectory()) {
-        await moveAndRename({
-          source: `${source}/${file.name}`,
-          dest: `${dest}/${file.name}`,
-          abs,
-        });
-      } else if (file.isFile()) {
-        const parsed = path.parse(file.name);
-
-        // Ignore anything that's not a .js file
-        if (parsed.ext !== ".js") {
-          continue;
-        }
-
-        // Rewrite any require statements to use .cjs
-        const content = await fs.promises.readFile(
-          abs(`${source}/${file.name}`),
-          "utf8"
-        );
-        const rewritten = content.replace(
-          /require\("(\..+?).js"\)/g,
-          (_, p1) => `require("${p1}.cjs")`
-        );
-
-        // Rename the file to .cjs
-        const renamed = path.format({ name: parsed.name, ext: ".cjs" });
-
-        await fs.promises.writeFile(
-          abs(`${dest}/${renamed}`),
-          rewritten,
-          "utf8"
-        );
-      }
-    }
-  } catch (err) {
-    console.error(err);
-    process.exit(1);
-  }
-}
diff --git a/libs/langchain-scripts/src/tests/config_file.test.ts b/libs/langchain-scripts/src/tests/config_file.test.ts
index 2d1c64d5e92a..c1a92e109e07 100644
--- a/libs/langchain-scripts/src/tests/config_file.test.ts
+++ b/libs/langchain-scripts/src/tests/config_file.test.ts
@@ -1,5 +1,5 @@
 import { test, expect } from "@jest/globals";
-import { _verifyObjectIsLangChainConfig } from "../utils.js";
+import { _verifyObjectIsLangChainConfig } from "../build/utils.js";
 
 test("_verifyObjectIsLangChainConfig successfully fails an invalid object", async () => {
   const { config } = await import("./langchain.invalid.config.js");
diff --git a/libs/langchain-scripts/tsconfig.build.json b/libs/langchain-scripts/tsconfig.build.json
index 191e76c228c2..23cde926083d 100644
--- a/libs/langchain-scripts/tsconfig.build.json
+++ b/libs/langchain-scripts/tsconfig.build.json
@@ -23,8 +23,7 @@
     "strict": true
   },
   "include": [
-    "src/build_v2.ts",
-    "src/types.ts"
+    "src/build/*"
   ],
   "exclude": [
     "node_modules/",
diff --git a/libs/langchain-standard-tests/package.json b/libs/langchain-standard-tests/package.json
index 529be1d4445c..2cedaaccd878 100644
--- a/libs/langchain-standard-tests/package.json
+++ b/libs/langchain-standard-tests/package.json
@@ -15,7 +15,7 @@
   "homepage": "https://github.com/langchain-ai/langchainjs/tree/main/libs/langchain-standard-tests/",
   "scripts": {
     "build": "yarn turbo:command build:internal --filter=@langchain/standard-tests",
-    "build:internal": "yarn lc_build_v2 --create-entrypoints --pre --tree-shaking",
+    "build:internal": "yarn lc_build --create-entrypoints --pre --tree-shaking",
     "lint:eslint": "NODE_OPTIONS=--max-old-space-size=4096 eslint --cache --ext .ts,.js src/",
     "lint:dpdm": "dpdm --exit-code circular:1 --no-warning --no-tree src/*.ts src/**/*.ts",
     "lint": "yarn lint:eslint && yarn lint:dpdm",
diff --git a/libs/langchain-textsplitters/package.json b/libs/langchain-textsplitters/package.json
index 65869485c723..67bfea71f685 100644
--- a/libs/langchain-textsplitters/package.json
+++ b/libs/langchain-textsplitters/package.json
@@ -15,11 +15,7 @@
   "homepage": "https://github.com/langchain-ai/langchainjs/tree/main/libs/langchain-textsplitters/",
   "scripts": {
     "build": "yarn turbo:command build:internal --filter=@langchain/textsplitters",
-    "build:internal": "yarn lc_build_v2 --create-entrypoints --pre --tree-shaking",
-    "build:esm": "NODE_OPTIONS=--max-old-space-size=4096 tsc --outDir dist/ && rm -rf dist/tests dist/**/tests",
-    "build:cjs": "NODE_OPTIONS=--max-old-space-size=4096 tsc --outDir dist-cjs/ -p tsconfig.cjs.json && yarn move-cjs-to-dist && rm -rf dist-cjs",
-    "build:watch": "yarn create-entrypoints && tsc --outDir dist/ --watch",
-    "build:scripts": "yarn create-entrypoints && yarn check-tree-shaking",
+    "build:internal": "yarn lc_build --create-entrypoints --pre --tree-shaking",
     "lint:eslint": "NODE_OPTIONS=--max-old-space-size=4096 eslint --cache --ext .ts,.js src/",
     "lint:dpdm": "dpdm --exit-code circular:1 --no-warning --no-tree src/*.ts src/**/*.ts",
     "lint": "yarn lint:eslint && yarn lint:dpdm",
@@ -31,10 +27,7 @@
     "test:single": "NODE_OPTIONS=--experimental-vm-modules yarn run jest --config jest.config.cjs --testTimeout 100000",
     "test:int": "NODE_OPTIONS=--experimental-vm-modules jest --testPathPattern=\\.int\\.test.ts --testTimeout 100000 --maxWorkers=50%",
     "format": "prettier --config .prettierrc --write \"src\"",
-    "format:check": "prettier --config .prettierrc --check \"src\"",
-    "move-cjs-to-dist": "yarn lc-build --config ./langchain.config.js --move-cjs-dist",
-    "create-entrypoints": "yarn lc-build --config ./langchain.config.js --create-entrypoints",
-    "check-tree-shaking": "yarn lc-build --config ./langchain.config.js --tree-shaking"
+    "format:check": "prettier --config .prettierrc --check \"src\""
   },
   "author": "LangChain",
   "license": "MIT",
diff --git a/libs/langchain-weaviate/package.json b/libs/langchain-weaviate/package.json
index 521f99b02a31..c29d97674172 100644
--- a/libs/langchain-weaviate/package.json
+++ b/libs/langchain-weaviate/package.json
@@ -15,12 +15,7 @@
   "homepage": "https://github.com/langchain-ai/langchainjs/tree/main/libs/langchain-weaviate/",
   "scripts": {
     "build": "yarn turbo:command build:internal --filter=@langchain/weaviate",
-    "build:internal": "yarn lc_build_v2 --create-entrypoints --pre --tree-shaking",
-    "build:deps": "yarn run turbo:command build --filter=@langchain/core",
-    "build:esm": "NODE_OPTIONS=--max-old-space-size=4096 tsc --outDir dist/ && rm -rf dist/tests dist/**/tests",
-    "build:cjs": "NODE_OPTIONS=--max-old-space-size=4096 tsc --outDir dist-cjs/ -p tsconfig.cjs.json && yarn move-cjs-to-dist && rm -rf dist-cjs",
-    "build:watch": "yarn create-entrypoints && tsc --outDir dist/ --watch",
-    "build:scripts": "yarn create-entrypoints && yarn check-tree-shaking",
+    "build:internal": "yarn lc_build --create-entrypoints --pre --tree-shaking",
     "lint:eslint": "NODE_OPTIONS=--max-old-space-size=4096 eslint --cache --ext .ts,.js src/",
     "lint:dpdm": "dpdm --exit-code circular:1 --no-warning --no-tree src/*.ts src/**/*.ts",
     "lint": "yarn lint:eslint && yarn lint:dpdm",
@@ -32,10 +27,7 @@
     "test:single": "NODE_OPTIONS=--experimental-vm-modules yarn run jest --config jest.config.cjs --testTimeout 100000",
     "test:int": "NODE_OPTIONS=--experimental-vm-modules jest --testPathPattern=\\.int\\.test.ts --testTimeout 100000 --maxWorkers=50%",
     "format": "prettier --config .prettierrc --write \"src\"",
-    "format:check": "prettier --config .prettierrc --check \"src\"",
-    "move-cjs-to-dist": "yarn lc-build --config ./langchain.config.js --move-cjs-dist",
-    "create-entrypoints": "yarn lc-build --config ./langchain.config.js --create-entrypoints",
-    "check-tree-shaking": "yarn lc-build --config ./langchain.config.js --tree-shaking"
+    "format:check": "prettier --config .prettierrc --check \"src\""
   },
   "author": "LangChain",
   "license": "MIT",
diff --git a/libs/langchain-yandex/package.json b/libs/langchain-yandex/package.json
index 21e3cf3eb257..fce662e8c06d 100644
--- a/libs/langchain-yandex/package.json
+++ b/libs/langchain-yandex/package.json
@@ -15,27 +15,19 @@
   "homepage": "https://github.com/langchain-ai/langchainjs/tree/main/libs/langchain-yandex/",
   "scripts": {
     "build": "yarn turbo:command build:internal --filter=@langchain/yandex",
-    "build:internal": "yarn lc_build_v2 --create-entrypoints --pre --tree-shaking",
-    "build:esm": "NODE_OPTIONS=--max-old-space-size=4096 tsc --outDir dist/ && rm -rf dist/tests dist/**/tests",
-    "build:cjs": "NODE_OPTIONS=--max-old-space-size=4096 tsc --outDir dist-cjs/ -p tsconfig.cjs.json && yarn move-cjs-to-dist && rm -rf dist-cjs",
-    "build:watch": "yarn create-entrypoints && tsc --outDir dist/ --watch",
-    "build:scripts": "yarn create-entrypoints && yarn check-tree-shaking",
+    "build:internal": "yarn lc_build --create-entrypoints --pre --tree-shaking",
     "lint:eslint": "NODE_OPTIONS=--max-old-space-size=4096 eslint --cache --ext .ts,.js src/",
     "lint:dpdm": "dpdm --exit-code circular:1 --no-warning --no-tree src/*.ts src/**/*.ts",
     "lint": "yarn lint:eslint && yarn lint:dpdm",
     "lint:fix": "yarn lint:eslint --fix && yarn lint:dpdm",
     "clean": "rm -rf .turbo dist/",
     "prepack": "yarn build",
-    "release": "release-it --only-version --config .release-it.json",
     "test": "NODE_OPTIONS=--experimental-vm-modules jest --testPathIgnorePatterns=\\.int\\.test.ts --testTimeout 30000 --maxWorkers=50%",
     "test:watch": "NODE_OPTIONS=--experimental-vm-modules jest --watch --testPathIgnorePatterns=\\.int\\.test.ts",
     "test:single": "NODE_OPTIONS=--experimental-vm-modules yarn run jest --config jest.config.cjs --testTimeout 100000",
     "test:int": "NODE_OPTIONS=--experimental-vm-modules jest --testPathPattern=\\.int\\.test.ts --testTimeout 100000 --maxWorkers=50%",
     "format": "prettier --config .prettierrc --write \"src\"",
-    "format:check": "prettier --config .prettierrc --check \"src\"",
-    "move-cjs-to-dist": "yarn lc-build --config ./langchain.config.js --move-cjs-dist",
-    "create-entrypoints": "yarn lc-build --config ./langchain.config.js --create-entrypoints",
-    "check-tree-shaking": "yarn lc-build --config ./langchain.config.js --tree-shaking"
+    "format:check": "prettier --config .prettierrc --check \"src\""
   },
   "author": "LangChain",
   "license": "MIT",
diff --git a/yarn.lock b/yarn.lock
index b3c68d9ab100..cab6f3db4f10 100644
--- a/yarn.lock
+++ b/yarn.lock
@@ -12438,8 +12438,7 @@ __metadata:
     tsx: ^4.16.2
     typescript: ^5.4.5
   bin:
-    lc-build: bin/build.js
-    lc_build_v2: bin/build_v2.js
+    lc_build: bin/build.js
     notebook_validate: bin/validate_notebook.js
   languageName: unknown
   linkType: soft

From bfe988410c7ab8c6e8b86c2d282c58a4a2c4a137 Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Thu, 22 Aug 2024 13:41:55 -0700
Subject: [PATCH 075/344] community[patch]: Release 0.2.29 (#6598)

---
 libs/langchain-community/package.json | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/libs/langchain-community/package.json b/libs/langchain-community/package.json
index 57fa2d83e33f..b6823d008750 100644
--- a/libs/langchain-community/package.json
+++ b/libs/langchain-community/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/community",
-  "version": "0.2.28",
+  "version": "0.2.29",
   "description": "Third-party integrations for LangChain.js",
   "type": "module",
   "engines": {

From 3f23d9c0d164e518bf73af4954b6a30d7a1b6e55 Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Thu, 22 Aug 2024 14:01:09 -0700
Subject: [PATCH 076/344] community[patch]: Fix community langgraph dep (#6599)

---
 libs/langchain-community/package.json |  4 ++--
 yarn.lock                             | 24 ++++++++++++------------
 2 files changed, 14 insertions(+), 14 deletions(-)

diff --git a/libs/langchain-community/package.json b/libs/langchain-community/package.json
index b6823d008750..e8f5d3f2d2f6 100644
--- a/libs/langchain-community/package.json
+++ b/libs/langchain-community/package.json
@@ -78,7 +78,7 @@
     "@gradientai/nodejs-sdk": "^1.2.0",
     "@huggingface/inference": "^2.6.4",
     "@jest/globals": "^29.5.0",
-    "@langchain/langgraph": "*",
+    "@langchain/langgraph": "~0.0.26",
     "@langchain/scripts": "^0.0.23",
     "@langchain/standard-tests": "0.0.0",
     "@layerup/layerup-security": "^1.5.12",
@@ -239,7 +239,7 @@
     "@google-cloud/storage": "^6.10.1 || ^7.7.0",
     "@gradientai/nodejs-sdk": "^1.2.0",
     "@huggingface/inference": "^2.6.4",
-    "@langchain/langgraph": "~0.0.26",
+    "@langchain/langgraph": "*",
     "@layerup/layerup-security": "^1.5.12",
     "@mendable/firecrawl-js": "^0.0.13",
     "@mlc-ai/web-llm": "0.2.46",
diff --git a/yarn.lock b/yarn.lock
index cab6f3db4f10..c37553989950 100644
--- a/yarn.lock
+++ b/yarn.lock
@@ -11179,7 +11179,7 @@ __metadata:
     "@huggingface/inference": ^2.6.4
     "@jest/globals": ^29.5.0
     "@langchain/core": ">=0.2.21 <0.3.0"
-    "@langchain/langgraph": "*"
+    "@langchain/langgraph": ~0.0.26
     "@langchain/openai": ">=0.2.0 <0.3.0"
     "@langchain/scripts": ^0.0.23
     "@langchain/standard-tests": 0.0.0
@@ -11349,7 +11349,7 @@ __metadata:
     "@google-cloud/storage": ^6.10.1 || ^7.7.0
     "@gradientai/nodejs-sdk": ^1.2.0
     "@huggingface/inference": ^2.6.4
-    "@langchain/langgraph": ~0.0.26
+    "@langchain/langgraph": "*"
     "@layerup/layerup-security": ^1.5.12
     "@mendable/firecrawl-js": ^0.0.13
     "@mlc-ai/web-llm": 0.2.46
@@ -12010,11 +12010,11 @@ __metadata:
   languageName: unknown
   linkType: soft
 
-"@langchain/langgraph@npm:*":
-  version: 0.0.34
-  resolution: "@langchain/langgraph@npm:0.0.34"
+"@langchain/langgraph@npm:0.0.28, @langchain/langgraph@npm:^0.0.28":
+  version: 0.0.28
+  resolution: "@langchain/langgraph@npm:0.0.28"
   dependencies:
-    "@langchain/core": ">=0.2.20 <0.3.0"
+    "@langchain/core": ">=0.2.16 <0.3.0"
     uuid: ^10.0.0
     zod: ^3.23.8
   peerDependencies:
@@ -12022,15 +12022,15 @@ __metadata:
   peerDependenciesMeta:
     better-sqlite3:
       optional: true
-  checksum: efa3c6b4eb40fdeb696531fe63f1f8e2b5d23b7adfc9404103cc9265db4aab6caee7de9ba1e01e14f2765d98a8b536bfbc473795543b0314e84c72b3b349a258
+  checksum: 1465791026ccd6eaa13a2f2d03b8fb9f0972a8c23b9da1cfd581074f413ea60ef860de6d704c6a3b49f7425f23d6ba49c23255167ae83ab7d70dc00cc0560ce2
   languageName: node
   linkType: hard
 
-"@langchain/langgraph@npm:0.0.28, @langchain/langgraph@npm:^0.0.28":
-  version: 0.0.28
-  resolution: "@langchain/langgraph@npm:0.0.28"
+"@langchain/langgraph@npm:~0.0.26":
+  version: 0.0.34
+  resolution: "@langchain/langgraph@npm:0.0.34"
   dependencies:
-    "@langchain/core": ">=0.2.16 <0.3.0"
+    "@langchain/core": ">=0.2.20 <0.3.0"
     uuid: ^10.0.0
     zod: ^3.23.8
   peerDependencies:
@@ -12038,7 +12038,7 @@ __metadata:
   peerDependenciesMeta:
     better-sqlite3:
       optional: true
-  checksum: 1465791026ccd6eaa13a2f2d03b8fb9f0972a8c23b9da1cfd581074f413ea60ef860de6d704c6a3b49f7425f23d6ba49c23255167ae83ab7d70dc00cc0560ce2
+  checksum: efa3c6b4eb40fdeb696531fe63f1f8e2b5d23b7adfc9404103cc9265db4aab6caee7de9ba1e01e14f2765d98a8b536bfbc473795543b0314e84c72b3b349a258
   languageName: node
   linkType: hard
 

From d10b45626755cb81e70859e040f9151dbe0f6243 Mon Sep 17 00:00:00 2001
From: Brace Sproul <braceasproul@gmail.com>
Date: Thu, 22 Aug 2024 14:02:05 -0700
Subject: [PATCH 077/344] create-langchain-integration[patch]: Release 0.0.11
 (#6600)

---
 libs/create-langchain-integration/package.json | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/libs/create-langchain-integration/package.json b/libs/create-langchain-integration/package.json
index c8b3e57b2458..0bc7d5f23539 100644
--- a/libs/create-langchain-integration/package.json
+++ b/libs/create-langchain-integration/package.json
@@ -1,6 +1,6 @@
 {
   "name": "create-langchain-integration",
-  "version": "0.0.10",
+  "version": "0.0.11",
   "repository": {
     "type": "git",
     "url": "https://github.com/langchain-ai/langchainjs",

From f1d7c55eda0ef73b6e2426db03b6d6d2a9739924 Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Thu, 22 Aug 2024 14:13:10 -0700
Subject: [PATCH 078/344] community[patch]: Release 0.2.30 (#6601)

---
 libs/langchain-community/package.json | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/libs/langchain-community/package.json b/libs/langchain-community/package.json
index e8f5d3f2d2f6..3bb63b35a7ee 100644
--- a/libs/langchain-community/package.json
+++ b/libs/langchain-community/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/community",
-  "version": "0.2.29",
+  "version": "0.2.30",
   "description": "Third-party integrations for LangChain.js",
   "type": "module",
   "engines": {

From b1a17daea461a9e00c66e30115da0d515ec081be Mon Sep 17 00:00:00 2001
From: Jack Reed <mejackreed@users.noreply.github.com>
Date: Thu, 22 Aug 2024 16:24:15 -0600
Subject: [PATCH 079/344] community[minor]: Use usage metadata message field
 for token reporting in DatadogLLMObsTracer (#6552)

Co-authored-by: Brace Sproul <braceasproul@gmail.com>
---
 .../src/experimental/callbacks/handlers/datadog.ts  | 13 +++++++------
 .../callbacks/handlers/tests/datadog.test.ts        |  2 +-
 2 files changed, 8 insertions(+), 7 deletions(-)

diff --git a/libs/langchain-community/src/experimental/callbacks/handlers/datadog.ts b/libs/langchain-community/src/experimental/callbacks/handlers/datadog.ts
index 57a2e16daf3b..41dcf370fa12 100644
--- a/libs/langchain-community/src/experimental/callbacks/handlers/datadog.ts
+++ b/libs/langchain-community/src/experimental/callbacks/handlers/datadog.ts
@@ -2,7 +2,7 @@ import { BaseCallbackHandlerInput } from "@langchain/core/callbacks/base";
 import { BaseTracer, Run } from "@langchain/core/tracers/base";
 import { getEnvironmentVariable } from "@langchain/core/utils/env";
 import { Document } from "@langchain/core/documents";
-import { BaseMessage } from "@langchain/core/messages";
+import { BaseMessage, isAIMessage } from "@langchain/core/messages";
 import { ChatGeneration } from "@langchain/core/outputs";
 import { KVMap } from "langsmith/schemas";
 
@@ -262,12 +262,13 @@ export class DatadogLLMObsTracer
           messages: outputs?.generations?.flatMap(
             (generations: ChatGeneration[]) =>
               generations.map(({ message, text }) => {
-                const tokenUsage = message?.response_metadata?.tokenUsage;
-                if (tokenUsage) {
+                if (isAIMessage(message) && message?.usage_metadata) {
+                  tokensMetadata.prompt_tokens =
+                    message.usage_metadata.input_tokens;
                   tokensMetadata.completion_tokens =
-                    tokenUsage.completionTokens;
-                  tokensMetadata.prompt_tokens = tokenUsage.promptTokens;
-                  tokensMetadata.total_tokens = tokenUsage.totalTokens;
+                    message.usage_metadata.output_tokens;
+                  tokensMetadata.total_tokens =
+                    message.usage_metadata.total_tokens;
                 }
 
                 return {
diff --git a/libs/langchain-community/src/experimental/callbacks/handlers/tests/datadog.test.ts b/libs/langchain-community/src/experimental/callbacks/handlers/tests/datadog.test.ts
index 0f5a015a0e81..b1db38c236bd 100644
--- a/libs/langchain-community/src/experimental/callbacks/handlers/tests/datadog.test.ts
+++ b/libs/langchain-community/src/experimental/callbacks/handlers/tests/datadog.test.ts
@@ -161,7 +161,7 @@ test("Test llm span with prompt input", async () => {
       generations: [
         [
           {
-            text: "Hi",
+            message: new AIMessage("Hi"),
           },
         ],
       ],

From b73c54205024f58db29f21465b590c643aa5278e Mon Sep 17 00:00:00 2001
From: "marsal.sans" <marsal.sans@gmail.com>
Date: Fri, 23 Aug 2024 00:24:32 +0200
Subject: [PATCH 080/344] weaviate[minor]: Add Document id in similarity search
 results (#6576)

Co-authored-by: Brace Sproul <braceasproul@gmail.com>
---
 libs/langchain-weaviate/src/vectorstores.ts | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/libs/langchain-weaviate/src/vectorstores.ts b/libs/langchain-weaviate/src/vectorstores.ts
index e5604a5f90dc..4c6de1a3b723 100644
--- a/libs/langchain-weaviate/src/vectorstores.ts
+++ b/libs/langchain-weaviate/src/vectorstores.ts
@@ -295,7 +295,7 @@ export class WeaviateStore extends VectorStore {
         .get()
         .withClassName(this.indexName)
         .withFields(
-          `${this.queryAttrs.join(" ")} _additional { distance vector }`
+          `${this.queryAttrs.join(" ")} _additional { distance vector id }`
         )
         .withNearVector({
           vector: query,
@@ -321,6 +321,7 @@ export class WeaviateStore extends VectorStore {
           new Document({
             pageContent: text,
             metadata: rest,
+            id: _additional.id,
           }),
           _additional.distance,
           _additional.vector,

From ce3f1aca72e3e74aeb5da605895e921867d1829e Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Vacant=E4=B8=B6?=
 <49608830+Versirity@users.noreply.github.com>
Date: Fri, 23 Aug 2024 06:24:41 +0800
Subject: [PATCH 081/344] baidu-qianfan[patch]: Fix the issue of missing
 request parameters (#6575)

Co-authored-by: wangweiming1 <wangweiming1@xiaomi.com>
Co-authored-by: Brace Sproul <braceasproul@gmail.com>
---
 libs/langchain-baidu-qianfan/src/chat_models.ts | 10 ++--------
 1 file changed, 2 insertions(+), 8 deletions(-)

diff --git a/libs/langchain-baidu-qianfan/src/chat_models.ts b/libs/langchain-baidu-qianfan/src/chat_models.ts
index e1f0a3469f3c..6fc98ff48ce5 100644
--- a/libs/langchain-baidu-qianfan/src/chat_models.ts
+++ b/libs/langchain-baidu-qianfan/src/chat_models.ts
@@ -403,13 +403,7 @@ export class ChatBaiduQianfan
   ) {
     const makeCompletionRequest = async () => {
       console.log(request);
-      const response = await this.client.chat(
-        {
-          messages: request.messages,
-          stream,
-        },
-        this.model
-      );
+      const response = await this.client.chat(request, this.model);
 
       if (!stream) {
         return response;
@@ -455,7 +449,7 @@ export class ChatBaiduQianfan
   private async createStream(request: ChatCompletionRequest) {
     const response = await this.client.chat(
       {
-        messages: request.messages,
+        ...request,
         stream: true,
       },
       this.model

From 6210960f0e09845e3a5458b004a3852b796b9630 Mon Sep 17 00:00:00 2001
From: Brace Sproul <braceasproul@gmail.com>
Date: Thu, 22 Aug 2024 15:27:27 -0700
Subject: [PATCH 082/344] baidu-qianfan[patch]: Release 0.0.3 (#6603)

---
 libs/langchain-baidu-qianfan/package.json | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/libs/langchain-baidu-qianfan/package.json b/libs/langchain-baidu-qianfan/package.json
index 84cf871e7e09..efa67706a7de 100644
--- a/libs/langchain-baidu-qianfan/package.json
+++ b/libs/langchain-baidu-qianfan/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/baidu-qianfan",
-  "version": "0.0.2",
+  "version": "0.0.3",
   "description": "Baidu Qianfan integration for LangChain.js",
   "type": "module",
   "engines": {

From eeb82ba03174f73caa7e41dec341cecb4a27e36f Mon Sep 17 00:00:00 2001
From: Brace Sproul <braceasproul@gmail.com>
Date: Thu, 22 Aug 2024 15:31:00 -0700
Subject: [PATCH 083/344] weaviate[patch]: Release 0.0.5 (#6604)

---
 libs/langchain-weaviate/package.json | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/libs/langchain-weaviate/package.json b/libs/langchain-weaviate/package.json
index c29d97674172..b6b256a25b69 100644
--- a/libs/langchain-weaviate/package.json
+++ b/libs/langchain-weaviate/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/weaviate",
-  "version": "0.0.4",
+  "version": "0.0.5",
   "description": "Weaviate integration for LangChain.js",
   "type": "module",
   "engines": {

From bf2e2b7f7ad7dbc40a93f96ec78ee42f6c954e21 Mon Sep 17 00:00:00 2001
From: Brace Sproul <braceasproul@gmail.com>
Date: Thu, 22 Aug 2024 15:34:39 -0700
Subject: [PATCH 084/344] scripts[patch]: Add notebook check for unexpected
 rebuild error (#6602)

---
 .../bin/validate_notebook.js                  |  2 +-
 .../check_notebook_type_errors.ts}            |  8 +-----
 .../check_unexpected_rebuild_timer.ts         | 26 +++++++++++++++++++
 libs/langchain-scripts/src/notebooks/index.ts | 12 +++++++++
 4 files changed, 40 insertions(+), 8 deletions(-)
 rename libs/langchain-scripts/src/{validate_notebook.ts => notebooks/check_notebook_type_errors.ts} (98%)
 create mode 100644 libs/langchain-scripts/src/notebooks/check_unexpected_rebuild_timer.ts
 create mode 100644 libs/langchain-scripts/src/notebooks/index.ts

diff --git a/libs/langchain-scripts/bin/validate_notebook.js b/libs/langchain-scripts/bin/validate_notebook.js
index 2ff6aa968a34..cac5f69d91e8 100755
--- a/libs/langchain-scripts/bin/validate_notebook.js
+++ b/libs/langchain-scripts/bin/validate_notebook.js
@@ -1 +1 @@
-import "../dist/validate_notebook.js";
+import "../dist/notebooks/index.js";
diff --git a/libs/langchain-scripts/src/validate_notebook.ts b/libs/langchain-scripts/src/notebooks/check_notebook_type_errors.ts
similarity index 98%
rename from libs/langchain-scripts/src/validate_notebook.ts
rename to libs/langchain-scripts/src/notebooks/check_notebook_type_errors.ts
index 65907c159566..358f2aaa10eb 100644
--- a/libs/langchain-scripts/src/validate_notebook.ts
+++ b/libs/langchain-scripts/src/notebooks/check_notebook_type_errors.ts
@@ -69,7 +69,7 @@ if (!pathname) {
   throw new Error("No pathname provided.");
 }
 
-const run = async () => {
+export async function checkNotebookTypeErrors() {
   if (!pathname.endsWith(".ipynb")) {
     throw new Error("Only .ipynb files are supported.");
   }
@@ -130,10 +130,4 @@ const run = async () => {
       // Do nothing
     }
   }
-};
-
-try {
-  void run();
-} catch {
-  process.exit(1);
 }
diff --git a/libs/langchain-scripts/src/notebooks/check_unexpected_rebuild_timer.ts b/libs/langchain-scripts/src/notebooks/check_unexpected_rebuild_timer.ts
new file mode 100644
index 000000000000..19cc3c4afcc2
--- /dev/null
+++ b/libs/langchain-scripts/src/notebooks/check_unexpected_rebuild_timer.ts
@@ -0,0 +1,26 @@
+import fs from "fs";
+
+const [pathname] = process.argv.slice(2);
+
+if (!pathname) {
+  throw new Error("No pathname provided.");
+}
+
+/**
+ * tslab will sometimes throw an error inside the output cells of a notebook
+ * if the notebook is being rebuilt. This function checks for that error,
+ * because we do not want to commit that to our docs.
+ */
+export async function checkUnexpectedRebuildError() {
+  if (!pathname.endsWith(".ipynb")) {
+    throw new Error("Only .ipynb files are supported.");
+  }
+  const notebookContents = await fs.promises.readFile(pathname, "utf-8");
+  if (
+    notebookContents.includes(
+      "UncaughtException: Error: Unexpected pending rebuildTimer"
+    )
+  ) {
+    throw new Error(`Found unexpected pending rebuildTimer in ${pathname}`);
+  }
+}
diff --git a/libs/langchain-scripts/src/notebooks/index.ts b/libs/langchain-scripts/src/notebooks/index.ts
new file mode 100644
index 000000000000..3eccf3906de2
--- /dev/null
+++ b/libs/langchain-scripts/src/notebooks/index.ts
@@ -0,0 +1,12 @@
+import { checkNotebookTypeErrors } from "./check_notebook_type_errors.js";
+import { checkUnexpectedRebuildError } from "./check_unexpected_rebuild_timer.js";
+
+async function main() {
+  await Promise.all([checkNotebookTypeErrors(), checkUnexpectedRebuildError()]);
+}
+
+try {
+  void main();
+} catch {
+  process.exit(1);
+}

From afaa0f6cf6390fbbf065fcd45637e73dcd8dca16 Mon Sep 17 00:00:00 2001
From: Brace Sproul <braceasproul@gmail.com>
Date: Thu, 22 Aug 2024 15:36:33 -0700
Subject: [PATCH 085/344] scripts[minor]: Release 0.1.0 (#6605)

---
 libs/langchain-scripts/package.json | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/libs/langchain-scripts/package.json b/libs/langchain-scripts/package.json
index db77d0a36d68..7b5758284a9b 100644
--- a/libs/langchain-scripts/package.json
+++ b/libs/langchain-scripts/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/scripts",
-  "version": "0.0.23",
+  "version": "0.1.0",
   "description": "Shared scripts for LangChain.js",
   "type": "module",
   "engines": {

From 903ff79b6293453ad567bdfeca3887f0a86aead9 Mon Sep 17 00:00:00 2001
From: Brace Sproul <braceasproul@gmail.com>
Date: Thu, 22 Aug 2024 15:58:43 -0700
Subject: [PATCH 086/344] all[patch]: Bump scripts version (#6606)

---
 examples/package.json                         |  2 +-
 langchain-core/package.json                   |  2 +-
 langchain/package.json                        |  2 +-
 .../template/package.json                     |  2 +-
 libs/langchain-anthropic/package.json         |  2 +-
 libs/langchain-aws/package.json               |  2 +-
 libs/langchain-azure-cosmosdb/package.json    |  2 +-
 .../package.json                              |  2 +-
 libs/langchain-azure-openai/package.json      |  2 +-
 libs/langchain-baidu-qianfan/package.json     |  2 +-
 libs/langchain-cloudflare/package.json        |  2 +-
 libs/langchain-cohere/package.json            |  2 +-
 libs/langchain-community/package.json         |  2 +-
 libs/langchain-exa/package.json               |  2 +-
 libs/langchain-google-common/package.json     |  2 +-
 libs/langchain-google-gauth/package.json      |  2 +-
 libs/langchain-google-genai/package.json      |  2 +-
 .../package.json                              |  2 +-
 libs/langchain-google-vertexai/package.json   |  2 +-
 libs/langchain-google-webauth/package.json    |  2 +-
 libs/langchain-groq/package.json              |  2 +-
 libs/langchain-mistralai/package.json         |  2 +-
 libs/langchain-mixedbread-ai/package.json     |  2 +-
 libs/langchain-mongodb/package.json           |  2 +-
 libs/langchain-nomic/package.json             |  2 +-
 libs/langchain-ollama/package.json            |  2 +-
 libs/langchain-openai/package.json            |  2 +-
 libs/langchain-pinecone/package.json          |  2 +-
 libs/langchain-qdrant/package.json            |  2 +-
 libs/langchain-redis/package.json             |  2 +-
 libs/langchain-textsplitters/package.json     |  2 +-
 libs/langchain-weaviate/package.json          |  2 +-
 libs/langchain-yandex/package.json            |  2 +-
 yarn.lock                                     | 66 +++++++++----------
 34 files changed, 66 insertions(+), 66 deletions(-)

diff --git a/examples/package.json b/examples/package.json
index 340405e6b8ad..c3dab06a5b36 100644
--- a/examples/package.json
+++ b/examples/package.json
@@ -58,7 +58,7 @@
     "@langchain/pinecone": "workspace:*",
     "@langchain/qdrant": "workspace:*",
     "@langchain/redis": "workspace:*",
-    "@langchain/scripts": "^0.0.23",
+    "@langchain/scripts": ">=0.1.0 <0.2.0",
     "@langchain/textsplitters": "workspace:*",
     "@langchain/weaviate": "workspace:*",
     "@langchain/yandex": "workspace:*",
diff --git a/langchain-core/package.json b/langchain-core/package.json
index 1307d14027b3..0f1ee3b0bbcb 100644
--- a/langchain-core/package.json
+++ b/langchain-core/package.json
@@ -47,7 +47,7 @@
   },
   "devDependencies": {
     "@jest/globals": "^29.5.0",
-    "@langchain/scripts": "^0.0.23",
+    "@langchain/scripts": ">=0.1.0 <0.2.0",
     "@swc/core": "^1.3.90",
     "@swc/jest": "^0.2.29",
     "@types/decamelize": "^1.2.0",
diff --git a/langchain/package.json b/langchain/package.json
index 18aa16d1c363..5c83ce64f9ee 100644
--- a/langchain/package.json
+++ b/langchain/package.json
@@ -613,7 +613,7 @@
     "@langchain/groq": "^0.0.15",
     "@langchain/mistralai": "^0.0.26",
     "@langchain/ollama": "^0.0.2",
-    "@langchain/scripts": "^0.0.23",
+    "@langchain/scripts": ">=0.1.0 <0.2.0",
     "@mendable/firecrawl-js": "^0.0.13",
     "@notionhq/client": "^2.2.10",
     "@pinecone-database/pinecone": "^1.1.0",
diff --git a/libs/create-langchain-integration/template/package.json b/libs/create-langchain-integration/template/package.json
index dea7417b214a..2f2cc09dda3e 100644
--- a/libs/create-langchain-integration/template/package.json
+++ b/libs/create-langchain-integration/template/package.json
@@ -38,7 +38,7 @@
     "@jest/globals": "^29.5.0",
     "@swc/core": "^1.3.90",
     "@swc/jest": "^0.2.29",
-    "@langchain/scripts": "^0.0.23",
+    "@langchain/scripts": ">=0.1.0 <0.2.0",
     "@tsconfig/recommended": "^1.0.3",
     "@typescript-eslint/eslint-plugin": "^6.12.0",
     "@typescript-eslint/parser": "^6.12.0",
diff --git a/libs/langchain-anthropic/package.json b/libs/langchain-anthropic/package.json
index 550bb654c321..fe8027f36ffb 100644
--- a/libs/langchain-anthropic/package.json
+++ b/libs/langchain-anthropic/package.json
@@ -43,7 +43,7 @@
   },
   "devDependencies": {
     "@jest/globals": "^29.5.0",
-    "@langchain/scripts": "^0.0.23",
+    "@langchain/scripts": ">=0.1.0 <0.2.0",
     "@langchain/standard-tests": "0.0.0",
     "@swc/core": "^1.3.90",
     "@swc/jest": "^0.2.29",
diff --git a/libs/langchain-aws/package.json b/libs/langchain-aws/package.json
index a4a18e716fa9..40fe56eff4d7 100644
--- a/libs/langchain-aws/package.json
+++ b/libs/langchain-aws/package.json
@@ -43,7 +43,7 @@
   "devDependencies": {
     "@aws-sdk/types": "^3.609.0",
     "@jest/globals": "^29.5.0",
-    "@langchain/scripts": "^0.0.23",
+    "@langchain/scripts": ">=0.1.0 <0.2.0",
     "@langchain/standard-tests": "0.0.0",
     "@smithy/types": "^3.2.0",
     "@swc/core": "^1.3.90",
diff --git a/libs/langchain-azure-cosmosdb/package.json b/libs/langchain-azure-cosmosdb/package.json
index 6a8a02adebb1..161ac0b3c8b4 100644
--- a/libs/langchain-azure-cosmosdb/package.json
+++ b/libs/langchain-azure-cosmosdb/package.json
@@ -40,7 +40,7 @@
   "devDependencies": {
     "@jest/globals": "^29.5.0",
     "@langchain/openai": "workspace:^",
-    "@langchain/scripts": "~0.0",
+    "@langchain/scripts": ">=0.1.0 <0.2.0",
     "@swc/core": "^1.3.90",
     "@swc/jest": "^0.2.29",
     "@tsconfig/recommended": "^1.0.3",
diff --git a/libs/langchain-azure-dynamic-sessions/package.json b/libs/langchain-azure-dynamic-sessions/package.json
index 2c8e0ef7e80c..ea1101079811 100644
--- a/libs/langchain-azure-dynamic-sessions/package.json
+++ b/libs/langchain-azure-dynamic-sessions/package.json
@@ -38,7 +38,7 @@
   },
   "devDependencies": {
     "@jest/globals": "^29.5.0",
-    "@langchain/scripts": "^0.0.23",
+    "@langchain/scripts": ">=0.1.0 <0.2.0",
     "@swc/core": "^1.3.90",
     "@swc/jest": "^0.2.29",
     "@tsconfig/recommended": "^1.0.3",
diff --git a/libs/langchain-azure-openai/package.json b/libs/langchain-azure-openai/package.json
index 7d342c60ec33..c5351845caeb 100644
--- a/libs/langchain-azure-openai/package.json
+++ b/libs/langchain-azure-openai/package.json
@@ -41,7 +41,7 @@
   "devDependencies": {
     "@azure/identity": "^4.2.1",
     "@jest/globals": "^29.5.0",
-    "@langchain/scripts": "^0.0.23",
+    "@langchain/scripts": ">=0.1.0 <0.2.0",
     "@langchain/standard-tests": "0.0.0",
     "@swc/core": "^1.3.90",
     "@swc/jest": "^0.2.29",
diff --git a/libs/langchain-baidu-qianfan/package.json b/libs/langchain-baidu-qianfan/package.json
index efa67706a7de..e6648d52a569 100644
--- a/libs/langchain-baidu-qianfan/package.json
+++ b/libs/langchain-baidu-qianfan/package.json
@@ -40,7 +40,7 @@
   "devDependencies": {
     "@jest/globals": "^29.5.0",
     "@langchain/openai": "~0.1.0",
-    "@langchain/scripts": "^0.0.23",
+    "@langchain/scripts": ">=0.1.0 <0.2.0",
     "@swc/core": "^1.3.90",
     "@swc/jest": "^0.2.29",
     "@tsconfig/recommended": "^1.0.3",
diff --git a/libs/langchain-cloudflare/package.json b/libs/langchain-cloudflare/package.json
index 171bd43a0fdc..d6c9a84ca0d1 100644
--- a/libs/langchain-cloudflare/package.json
+++ b/libs/langchain-cloudflare/package.json
@@ -43,7 +43,7 @@
     "@cloudflare/workers-types": "^4.20231218.0",
     "@jest/globals": "^29.5.0",
     "@langchain/langgraph": "~0.0.31",
-    "@langchain/scripts": "^0.0.23",
+    "@langchain/scripts": ">=0.1.0 <0.2.0",
     "@langchain/standard-tests": "0.0.0",
     "@swc/core": "^1.3.90",
     "@swc/jest": "^0.2.29",
diff --git a/libs/langchain-cohere/package.json b/libs/langchain-cohere/package.json
index eeb1035c0fde..a140b8cbfc1e 100644
--- a/libs/langchain-cohere/package.json
+++ b/libs/langchain-cohere/package.json
@@ -43,7 +43,7 @@
   },
   "devDependencies": {
     "@jest/globals": "^29.5.0",
-    "@langchain/scripts": "^0.0.23",
+    "@langchain/scripts": ">=0.1.0 <0.2.0",
     "@langchain/standard-tests": "0.0.0",
     "@swc/core": "^1.3.90",
     "@swc/jest": "^0.2.29",
diff --git a/libs/langchain-community/package.json b/libs/langchain-community/package.json
index 3bb63b35a7ee..2f3767be39ac 100644
--- a/libs/langchain-community/package.json
+++ b/libs/langchain-community/package.json
@@ -79,7 +79,7 @@
     "@huggingface/inference": "^2.6.4",
     "@jest/globals": "^29.5.0",
     "@langchain/langgraph": "~0.0.26",
-    "@langchain/scripts": "^0.0.23",
+    "@langchain/scripts": ">=0.1.0 <0.2.0",
     "@langchain/standard-tests": "0.0.0",
     "@layerup/layerup-security": "^1.5.12",
     "@mendable/firecrawl-js": "^0.0.36",
diff --git a/libs/langchain-exa/package.json b/libs/langchain-exa/package.json
index 20b313377c36..ebbb59a167f8 100644
--- a/libs/langchain-exa/package.json
+++ b/libs/langchain-exa/package.json
@@ -37,7 +37,7 @@
   },
   "devDependencies": {
     "@jest/globals": "^29.5.0",
-    "@langchain/scripts": "^0.0.23",
+    "@langchain/scripts": ">=0.1.0 <0.2.0",
     "@swc/core": "^1.3.90",
     "@swc/jest": "^0.2.29",
     "@tsconfig/recommended": "^1.0.3",
diff --git a/libs/langchain-google-common/package.json b/libs/langchain-google-common/package.json
index 634c32d400e7..c913b36f38bd 100644
--- a/libs/langchain-google-common/package.json
+++ b/libs/langchain-google-common/package.json
@@ -38,7 +38,7 @@
   },
   "devDependencies": {
     "@jest/globals": "^29.5.0",
-    "@langchain/scripts": "^0.0.23",
+    "@langchain/scripts": ">=0.1.0 <0.2.0",
     "@swc/core": "^1.3.90",
     "@swc/jest": "^0.2.29",
     "@tsconfig/recommended": "^1.0.3",
diff --git a/libs/langchain-google-gauth/package.json b/libs/langchain-google-gauth/package.json
index f6821c67f17c..3924cb8b97b2 100644
--- a/libs/langchain-google-gauth/package.json
+++ b/libs/langchain-google-gauth/package.json
@@ -41,7 +41,7 @@
   },
   "devDependencies": {
     "@jest/globals": "^29.5.0",
-    "@langchain/scripts": "^0.0.23",
+    "@langchain/scripts": ">=0.1.0 <0.2.0",
     "@swc/core": "^1.3.90",
     "@swc/jest": "^0.2.29",
     "@tsconfig/recommended": "^1.0.3",
diff --git a/libs/langchain-google-genai/package.json b/libs/langchain-google-genai/package.json
index d6792fd43c07..e0b64b7114c9 100644
--- a/libs/langchain-google-genai/package.json
+++ b/libs/langchain-google-genai/package.json
@@ -41,7 +41,7 @@
   },
   "devDependencies": {
     "@jest/globals": "^29.5.0",
-    "@langchain/scripts": "^0.0.23",
+    "@langchain/scripts": ">=0.1.0 <0.2.0",
     "@langchain/standard-tests": "0.0.0",
     "@swc/core": "^1.3.90",
     "@swc/jest": "^0.2.29",
diff --git a/libs/langchain-google-vertexai-web/package.json b/libs/langchain-google-vertexai-web/package.json
index 26341f930fa3..105600328c59 100644
--- a/libs/langchain-google-vertexai-web/package.json
+++ b/libs/langchain-google-vertexai-web/package.json
@@ -38,7 +38,7 @@
   "devDependencies": {
     "@jest/globals": "^29.5.0",
     "@langchain/google-common": "~0.0",
-    "@langchain/scripts": "^0.0.23",
+    "@langchain/scripts": ">=0.1.0 <0.2.0",
     "@langchain/standard-tests": "0.0.0",
     "@swc/core": "^1.3.90",
     "@swc/jest": "^0.2.29",
diff --git a/libs/langchain-google-vertexai/package.json b/libs/langchain-google-vertexai/package.json
index 176d427f54fe..143e7505ce17 100644
--- a/libs/langchain-google-vertexai/package.json
+++ b/libs/langchain-google-vertexai/package.json
@@ -38,7 +38,7 @@
   "devDependencies": {
     "@jest/globals": "^29.5.0",
     "@langchain/google-common": "~0.0",
-    "@langchain/scripts": "^0.0.23",
+    "@langchain/scripts": ">=0.1.0 <0.2.0",
     "@langchain/standard-tests": "0.0.0",
     "@swc/core": "^1.3.90",
     "@swc/jest": "^0.2.29",
diff --git a/libs/langchain-google-webauth/package.json b/libs/langchain-google-webauth/package.json
index efdd9a744a48..3ed28832fea2 100644
--- a/libs/langchain-google-webauth/package.json
+++ b/libs/langchain-google-webauth/package.json
@@ -38,7 +38,7 @@
   },
   "devDependencies": {
     "@jest/globals": "^29.5.0",
-    "@langchain/scripts": "^0.0.23",
+    "@langchain/scripts": ">=0.1.0 <0.2.0",
     "@swc/core": "^1.3.90",
     "@swc/jest": "^0.2.29",
     "@tsconfig/recommended": "^1.0.3",
diff --git a/libs/langchain-groq/package.json b/libs/langchain-groq/package.json
index 616bebcf750b..bb816bc376cd 100644
--- a/libs/langchain-groq/package.json
+++ b/libs/langchain-groq/package.json
@@ -44,7 +44,7 @@
   "devDependencies": {
     "@jest/globals": "^29.5.0",
     "@langchain/openai": "workspace:^",
-    "@langchain/scripts": "^0.0.23",
+    "@langchain/scripts": ">=0.1.0 <0.2.0",
     "@langchain/standard-tests": "0.0.0",
     "@swc/core": "^1.3.90",
     "@swc/jest": "^0.2.29",
diff --git a/libs/langchain-mistralai/package.json b/libs/langchain-mistralai/package.json
index c757c40b9750..5e1b587975f8 100644
--- a/libs/langchain-mistralai/package.json
+++ b/libs/langchain-mistralai/package.json
@@ -43,7 +43,7 @@
   },
   "devDependencies": {
     "@jest/globals": "^29.5.0",
-    "@langchain/scripts": "^0.0.23",
+    "@langchain/scripts": ">=0.1.0 <0.2.0",
     "@langchain/standard-tests": "0.0.0",
     "@swc/core": "^1.3.90",
     "@swc/jest": "^0.2.29",
diff --git a/libs/langchain-mixedbread-ai/package.json b/libs/langchain-mixedbread-ai/package.json
index 4a9015891868..9d6e6a5d7e50 100644
--- a/libs/langchain-mixedbread-ai/package.json
+++ b/libs/langchain-mixedbread-ai/package.json
@@ -40,7 +40,7 @@
   },
   "devDependencies": {
     "@jest/globals": "^29.5.0",
-    "@langchain/scripts": "^0.0.23",
+    "@langchain/scripts": ">=0.1.0 <0.2.0",
     "@langchain/standard-tests": "0.0.0",
     "@swc/core": "^1.3.90",
     "@swc/jest": "^0.2.29",
diff --git a/libs/langchain-mongodb/package.json b/libs/langchain-mongodb/package.json
index 9b6b1557e330..0cca4d7d6006 100644
--- a/libs/langchain-mongodb/package.json
+++ b/libs/langchain-mongodb/package.json
@@ -38,7 +38,7 @@
   "devDependencies": {
     "@jest/globals": "^29.5.0",
     "@langchain/openai": "workspace:*",
-    "@langchain/scripts": "^0.0.23",
+    "@langchain/scripts": ">=0.1.0 <0.2.0",
     "@swc/core": "^1.3.90",
     "@swc/jest": "^0.2.29",
     "@tsconfig/recommended": "^1.0.3",
diff --git a/libs/langchain-nomic/package.json b/libs/langchain-nomic/package.json
index 0c676b062876..8ea6f4aa793f 100644
--- a/libs/langchain-nomic/package.json
+++ b/libs/langchain-nomic/package.json
@@ -38,7 +38,7 @@
   "devDependencies": {
     "@jest/globals": "^29.5.0",
     "@langchain/openai": "workspace:^",
-    "@langchain/scripts": "^0.0.23",
+    "@langchain/scripts": ">=0.1.0 <0.2.0",
     "@swc/core": "^1.3.90",
     "@swc/jest": "^0.2.29",
     "@tsconfig/recommended": "^1.0.3",
diff --git a/libs/langchain-ollama/package.json b/libs/langchain-ollama/package.json
index c18f33538808..5aa3ccf94bf2 100644
--- a/libs/langchain-ollama/package.json
+++ b/libs/langchain-ollama/package.json
@@ -38,7 +38,7 @@
   },
   "devDependencies": {
     "@jest/globals": "^29.5.0",
-    "@langchain/scripts": "^0.0.23",
+    "@langchain/scripts": ">=0.1.0 <0.2.0",
     "@langchain/standard-tests": "0.0.0",
     "@swc/core": "^1.3.90",
     "@swc/jest": "^0.2.29",
diff --git a/libs/langchain-openai/package.json b/libs/langchain-openai/package.json
index 831946ffc1fd..b6fd72c247cc 100644
--- a/libs/langchain-openai/package.json
+++ b/libs/langchain-openai/package.json
@@ -44,7 +44,7 @@
   "devDependencies": {
     "@azure/identity": "^4.2.1",
     "@jest/globals": "^29.5.0",
-    "@langchain/scripts": "^0.0.23",
+    "@langchain/scripts": ">=0.1.0 <0.2.0",
     "@langchain/standard-tests": "0.0.0",
     "@swc/core": "^1.3.90",
     "@swc/jest": "^0.2.29",
diff --git a/libs/langchain-pinecone/package.json b/libs/langchain-pinecone/package.json
index eed6620abc5f..bf5e64044655 100644
--- a/libs/langchain-pinecone/package.json
+++ b/libs/langchain-pinecone/package.json
@@ -41,7 +41,7 @@
     "@faker-js/faker": "^8.3.1",
     "@jest/globals": "^29.5.0",
     "@langchain/openai": "workspace:*",
-    "@langchain/scripts": "^0.0.23",
+    "@langchain/scripts": ">=0.1.0 <0.2.0",
     "@swc/core": "^1.3.90",
     "@swc/jest": "^0.2.29",
     "@tsconfig/recommended": "^1.0.3",
diff --git a/libs/langchain-qdrant/package.json b/libs/langchain-qdrant/package.json
index b67aaa635d4c..c477b34431f9 100644
--- a/libs/langchain-qdrant/package.json
+++ b/libs/langchain-qdrant/package.json
@@ -39,7 +39,7 @@
   "devDependencies": {
     "@faker-js/faker": "^8.4.1",
     "@jest/globals": "^29.5.0",
-    "@langchain/scripts": "^0.0.23",
+    "@langchain/scripts": ">=0.1.0 <0.2.0",
     "@swc/core": "^1.3.90",
     "@swc/jest": "^0.2.29",
     "@tsconfig/recommended": "^1.0.3",
diff --git a/libs/langchain-redis/package.json b/libs/langchain-redis/package.json
index d321f4e47a42..1dab09ed191c 100644
--- a/libs/langchain-redis/package.json
+++ b/libs/langchain-redis/package.json
@@ -38,7 +38,7 @@
   "devDependencies": {
     "@faker-js/faker": "^8.4.0",
     "@jest/globals": "^29.5.0",
-    "@langchain/scripts": "^0.0.23",
+    "@langchain/scripts": ">=0.1.0 <0.2.0",
     "@swc/core": "^1.3.90",
     "@swc/jest": "^0.2.29",
     "@tsconfig/recommended": "^1.0.3",
diff --git a/libs/langchain-textsplitters/package.json b/libs/langchain-textsplitters/package.json
index 67bfea71f685..7948be974102 100644
--- a/libs/langchain-textsplitters/package.json
+++ b/libs/langchain-textsplitters/package.json
@@ -37,7 +37,7 @@
   },
   "devDependencies": {
     "@jest/globals": "^29.5.0",
-    "@langchain/scripts": "^0.0.23",
+    "@langchain/scripts": ">=0.1.0 <0.2.0",
     "@swc/core": "^1.3.90",
     "@swc/jest": "^0.2.29",
     "@tsconfig/recommended": "^1.0.3",
diff --git a/libs/langchain-weaviate/package.json b/libs/langchain-weaviate/package.json
index b6b256a25b69..44fac83cbdd4 100644
--- a/libs/langchain-weaviate/package.json
+++ b/libs/langchain-weaviate/package.json
@@ -39,7 +39,7 @@
   "devDependencies": {
     "@jest/globals": "^29.5.0",
     "@langchain/openai": "workspace:^",
-    "@langchain/scripts": "^0.0.23",
+    "@langchain/scripts": ">=0.1.0 <0.2.0",
     "@swc/core": "^1.3.90",
     "@swc/jest": "^0.2.29",
     "@tsconfig/recommended": "^1.0.3",
diff --git a/libs/langchain-yandex/package.json b/libs/langchain-yandex/package.json
index fce662e8c06d..c6ab4910b996 100644
--- a/libs/langchain-yandex/package.json
+++ b/libs/langchain-yandex/package.json
@@ -36,7 +36,7 @@
   },
   "devDependencies": {
     "@jest/globals": "^29.5.0",
-    "@langchain/scripts": "^0.0.23",
+    "@langchain/scripts": ">=0.1.0 <0.2.0",
     "@swc/core": "^1.3.90",
     "@swc/jest": "^0.2.29",
     "@tsconfig/recommended": "^1.0.3",
diff --git a/yarn.lock b/yarn.lock
index c37553989950..8a47d3436178 100644
--- a/yarn.lock
+++ b/yarn.lock
@@ -10854,7 +10854,7 @@ __metadata:
     "@anthropic-ai/sdk": ^0.25.2
     "@jest/globals": ^29.5.0
     "@langchain/core": ">=0.2.21 <0.3.0"
-    "@langchain/scripts": ^0.0.23
+    "@langchain/scripts": ">=0.1.0 <0.2.0"
     "@langchain/standard-tests": 0.0.0
     "@swc/core": ^1.3.90
     "@swc/jest": ^0.2.29
@@ -10904,7 +10904,7 @@ __metadata:
     "@aws-sdk/types": ^3.609.0
     "@jest/globals": ^29.5.0
     "@langchain/core": ">=0.2.21 <0.3.0"
-    "@langchain/scripts": ^0.0.23
+    "@langchain/scripts": ">=0.1.0 <0.2.0"
     "@langchain/standard-tests": 0.0.0
     "@smithy/types": ^3.2.0
     "@swc/core": ^1.3.90
@@ -10941,7 +10941,7 @@ __metadata:
     "@jest/globals": ^29.5.0
     "@langchain/core": ~0.2
     "@langchain/openai": "workspace:^"
-    "@langchain/scripts": ~0.0
+    "@langchain/scripts": ">=0.1.0 <0.2.0"
     "@swc/core": ^1.3.90
     "@swc/jest": ^0.2.29
     "@tsconfig/recommended": ^1.0.3
@@ -10973,7 +10973,7 @@ __metadata:
     "@azure/identity": ^4.2.1
     "@jest/globals": ^29.5.0
     "@langchain/core": ~0.2
-    "@langchain/scripts": ^0.0.23
+    "@langchain/scripts": ">=0.1.0 <0.2.0"
     "@swc/core": ^1.3.90
     "@swc/jest": ^0.2.29
     "@tsconfig/recommended": ^1.0.3
@@ -11008,7 +11008,7 @@ __metadata:
     "@azure/openai": 1.0.0-beta.11
     "@jest/globals": ^29.5.0
     "@langchain/core": ">0.1.0 <0.3.0"
-    "@langchain/scripts": ^0.0.23
+    "@langchain/scripts": ">=0.1.0 <0.2.0"
     "@langchain/standard-tests": 0.0.0
     "@swc/core": ^1.3.90
     "@swc/jest": ^0.2.29
@@ -11040,7 +11040,7 @@ __metadata:
     "@jest/globals": ^29.5.0
     "@langchain/core": ">0.1.56 <0.3.0"
     "@langchain/openai": ~0.1.0
-    "@langchain/scripts": ^0.0.23
+    "@langchain/scripts": ">=0.1.0 <0.2.0"
     "@swc/core": ^1.3.90
     "@swc/jest": ^0.2.29
     "@tsconfig/recommended": ^1.0.3
@@ -11076,7 +11076,7 @@ __metadata:
     "@jest/globals": ^29.5.0
     "@langchain/core": ">0.1.0 <0.3.0"
     "@langchain/langgraph": ~0.0.31
-    "@langchain/scripts": ^0.0.23
+    "@langchain/scripts": ">=0.1.0 <0.2.0"
     "@langchain/standard-tests": 0.0.0
     "@swc/core": ^1.3.90
     "@swc/jest": ^0.2.29
@@ -11114,7 +11114,7 @@ __metadata:
   dependencies:
     "@jest/globals": ^29.5.0
     "@langchain/core": ">=0.2.21 <0.3.0"
-    "@langchain/scripts": ^0.0.23
+    "@langchain/scripts": ">=0.1.0 <0.2.0"
     "@langchain/standard-tests": 0.0.0
     "@swc/core": ^1.3.90
     "@swc/jest": ^0.2.29
@@ -11181,7 +11181,7 @@ __metadata:
     "@langchain/core": ">=0.2.21 <0.3.0"
     "@langchain/langgraph": ~0.0.26
     "@langchain/openai": ">=0.2.0 <0.3.0"
-    "@langchain/scripts": ^0.0.23
+    "@langchain/scripts": ">=0.1.0 <0.2.0"
     "@langchain/standard-tests": 0.0.0
     "@layerup/layerup-security": ^1.5.12
     "@mendable/firecrawl-js": ^0.0.36
@@ -11692,7 +11692,7 @@ __metadata:
   resolution: "@langchain/core@workspace:langchain-core"
   dependencies:
     "@jest/globals": ^29.5.0
-    "@langchain/scripts": ^0.0.23
+    "@langchain/scripts": ">=0.1.0 <0.2.0"
     "@swc/core": ^1.3.90
     "@swc/jest": ^0.2.29
     "@types/decamelize": ^1.2.0
@@ -11734,7 +11734,7 @@ __metadata:
   dependencies:
     "@jest/globals": ^29.5.0
     "@langchain/core": ">0.1.0 <0.3.0"
-    "@langchain/scripts": ^0.0.23
+    "@langchain/scripts": ">=0.1.0 <0.2.0"
     "@swc/core": ^1.3.90
     "@swc/jest": ^0.2.29
     "@tsconfig/recommended": ^1.0.3
@@ -11766,7 +11766,7 @@ __metadata:
   dependencies:
     "@jest/globals": ^29.5.0
     "@langchain/core": ">=0.2.21 <0.3.0"
-    "@langchain/scripts": ^0.0.23
+    "@langchain/scripts": ">=0.1.0 <0.2.0"
     "@swc/core": ^1.3.90
     "@swc/jest": ^0.2.29
     "@tsconfig/recommended": ^1.0.3
@@ -11800,7 +11800,7 @@ __metadata:
     "@jest/globals": ^29.5.0
     "@langchain/core": ">=0.2.21 <0.3.0"
     "@langchain/google-common": ~0.0.26
-    "@langchain/scripts": ^0.0.23
+    "@langchain/scripts": ">=0.1.0 <0.2.0"
     "@swc/core": ^1.3.90
     "@swc/jest": ^0.2.29
     "@tsconfig/recommended": ^1.0.3
@@ -11833,7 +11833,7 @@ __metadata:
     "@google/generative-ai": ^0.7.0
     "@jest/globals": ^29.5.0
     "@langchain/core": ">=0.2.21 <0.3.0"
-    "@langchain/scripts": ^0.0.23
+    "@langchain/scripts": ">=0.1.0 <0.2.0"
     "@langchain/standard-tests": 0.0.0
     "@swc/core": ^1.3.90
     "@swc/jest": ^0.2.29
@@ -11869,7 +11869,7 @@ __metadata:
     "@langchain/core": ">=0.2.21 <0.3.0"
     "@langchain/google-common": ~0.0
     "@langchain/google-webauth": ~0.0.26
-    "@langchain/scripts": ^0.0.23
+    "@langchain/scripts": ">=0.1.0 <0.2.0"
     "@langchain/standard-tests": 0.0.0
     "@swc/core": ^1.3.90
     "@swc/jest": ^0.2.29
@@ -11903,7 +11903,7 @@ __metadata:
     "@langchain/core": ">=0.2.21 <0.3.0"
     "@langchain/google-common": ~0.0
     "@langchain/google-gauth": ~0.0.26
-    "@langchain/scripts": ^0.0.23
+    "@langchain/scripts": ">=0.1.0 <0.2.0"
     "@langchain/standard-tests": 0.0.0
     "@swc/core": ^1.3.90
     "@swc/jest": ^0.2.29
@@ -11936,7 +11936,7 @@ __metadata:
     "@jest/globals": ^29.5.0
     "@langchain/core": ">=0.2.21 <0.3.0"
     "@langchain/google-common": ~0.0.26
-    "@langchain/scripts": ^0.0.23
+    "@langchain/scripts": ">=0.1.0 <0.2.0"
     "@swc/core": ^1.3.90
     "@swc/jest": ^0.2.29
     "@tsconfig/recommended": ^1.0.3
@@ -11981,7 +11981,7 @@ __metadata:
     "@jest/globals": ^29.5.0
     "@langchain/core": ">=0.2.21 <0.3.0"
     "@langchain/openai": "workspace:^"
-    "@langchain/scripts": ^0.0.23
+    "@langchain/scripts": ">=0.1.0 <0.2.0"
     "@langchain/standard-tests": 0.0.0
     "@swc/core": ^1.3.90
     "@swc/jest": ^0.2.29
@@ -12077,7 +12077,7 @@ __metadata:
   dependencies:
     "@jest/globals": ^29.5.0
     "@langchain/core": ">=0.2.21 <0.3.0"
-    "@langchain/scripts": ^0.0.23
+    "@langchain/scripts": ">=0.1.0 <0.2.0"
     "@langchain/standard-tests": 0.0.0
     "@mistralai/mistralai": ^1.1.0
     "@swc/core": ^1.3.90
@@ -12112,7 +12112,7 @@ __metadata:
   dependencies:
     "@jest/globals": ^29.5.0
     "@langchain/core": ">=0.2.5 <0.3.0"
-    "@langchain/scripts": ^0.0.23
+    "@langchain/scripts": ">=0.1.0 <0.2.0"
     "@langchain/standard-tests": 0.0.0
     "@mixedbread-ai/sdk": ^2.2.3
     "@swc/core": ^1.3.90
@@ -12146,7 +12146,7 @@ __metadata:
     "@jest/globals": ^29.5.0
     "@langchain/core": ">0.1.0 <0.3.0"
     "@langchain/openai": "workspace:*"
-    "@langchain/scripts": ^0.0.23
+    "@langchain/scripts": ">=0.1.0 <0.2.0"
     "@swc/core": ^1.3.90
     "@swc/jest": ^0.2.29
     "@tsconfig/recommended": ^1.0.3
@@ -12180,7 +12180,7 @@ __metadata:
     "@jest/globals": ^29.5.0
     "@langchain/core": ">0.1.0 <0.3.0"
     "@langchain/openai": "workspace:^"
-    "@langchain/scripts": ^0.0.23
+    "@langchain/scripts": ">=0.1.0 <0.2.0"
     "@nomic-ai/atlas": ^0.8.0
     "@swc/core": ^1.3.90
     "@swc/jest": ^0.2.29
@@ -12223,7 +12223,7 @@ __metadata:
   dependencies:
     "@jest/globals": ^29.5.0
     "@langchain/core": ">=0.2.21 <0.3.0"
-    "@langchain/scripts": ^0.0.23
+    "@langchain/scripts": ">=0.1.0 <0.2.0"
     "@langchain/standard-tests": 0.0.0
     "@swc/core": ^1.3.90
     "@swc/jest": ^0.2.29
@@ -12259,7 +12259,7 @@ __metadata:
     "@azure/identity": ^4.2.1
     "@jest/globals": ^29.5.0
     "@langchain/core": ">=0.2.26 <0.3.0"
-    "@langchain/scripts": ^0.0.23
+    "@langchain/scripts": ">=0.1.0 <0.2.0"
     "@langchain/standard-tests": 0.0.0
     "@swc/core": ^1.3.90
     "@swc/jest": ^0.2.29
@@ -12306,7 +12306,7 @@ __metadata:
     "@jest/globals": ^29.5.0
     "@langchain/core": ">0.2.0 <0.3.0"
     "@langchain/openai": "workspace:*"
-    "@langchain/scripts": ^0.0.23
+    "@langchain/scripts": ">=0.1.0 <0.2.0"
     "@pinecone-database/pinecone": ^3.0.0
     "@swc/core": ^1.3.90
     "@swc/jest": ^0.2.29
@@ -12341,7 +12341,7 @@ __metadata:
     "@faker-js/faker": ^8.4.1
     "@jest/globals": ^29.5.0
     "@langchain/core": ">0.1.0 <0.3.0"
-    "@langchain/scripts": ^0.0.23
+    "@langchain/scripts": ">=0.1.0 <0.2.0"
     "@qdrant/js-client-rest": ^1.9.0
     "@swc/core": ^1.3.90
     "@swc/jest": ^0.2.29
@@ -12375,7 +12375,7 @@ __metadata:
     "@faker-js/faker": ^8.4.0
     "@jest/globals": ^29.5.0
     "@langchain/core": ">0.1.0 <0.3.0"
-    "@langchain/scripts": ^0.0.23
+    "@langchain/scripts": ">=0.1.0 <0.2.0"
     "@swc/core": ^1.3.90
     "@swc/jest": ^0.2.29
     "@tsconfig/recommended": ^1.0.3
@@ -12402,7 +12402,7 @@ __metadata:
   languageName: unknown
   linkType: soft
 
-"@langchain/scripts@^0.0.23, @langchain/scripts@workspace:*, @langchain/scripts@workspace:libs/langchain-scripts, @langchain/scripts@~0.0":
+"@langchain/scripts@>=0.1.0 <0.2.0, @langchain/scripts@workspace:*, @langchain/scripts@workspace:libs/langchain-scripts":
   version: 0.0.0-use.local
   resolution: "@langchain/scripts@workspace:libs/langchain-scripts"
   dependencies:
@@ -12481,7 +12481,7 @@ __metadata:
   dependencies:
     "@jest/globals": ^29.5.0
     "@langchain/core": ">0.2.0 <0.3.0"
-    "@langchain/scripts": ^0.0.23
+    "@langchain/scripts": ">=0.1.0 <0.2.0"
     "@swc/core": ^1.3.90
     "@swc/jest": ^0.2.29
     "@tsconfig/recommended": ^1.0.3
@@ -12513,7 +12513,7 @@ __metadata:
     "@jest/globals": ^29.5.0
     "@langchain/core": ">0.2.0 <0.3.0"
     "@langchain/openai": "workspace:^"
-    "@langchain/scripts": ^0.0.23
+    "@langchain/scripts": ">=0.1.0 <0.2.0"
     "@swc/core": ^1.3.90
     "@swc/jest": ^0.2.29
     "@tsconfig/recommended": ^1.0.3
@@ -12547,7 +12547,7 @@ __metadata:
   dependencies:
     "@jest/globals": ^29.5.0
     "@langchain/core": ">0.1.0  <0.3.0"
-    "@langchain/scripts": ^0.0.23
+    "@langchain/scripts": ">=0.1.0 <0.2.0"
     "@swc/core": ^1.3.90
     "@swc/jest": ^0.2.29
     "@tsconfig/recommended": ^1.0.3
@@ -26692,7 +26692,7 @@ __metadata:
     "@langchain/pinecone": "workspace:*"
     "@langchain/qdrant": "workspace:*"
     "@langchain/redis": "workspace:*"
-    "@langchain/scripts": ^0.0.23
+    "@langchain/scripts": ">=0.1.0 <0.2.0"
     "@langchain/textsplitters": "workspace:*"
     "@langchain/weaviate": "workspace:*"
     "@langchain/yandex": "workspace:*"
@@ -32057,7 +32057,7 @@ __metadata:
     "@langchain/mistralai": ^0.0.26
     "@langchain/ollama": ^0.0.2
     "@langchain/openai": ">=0.1.0 <0.3.0"
-    "@langchain/scripts": ^0.0.23
+    "@langchain/scripts": ">=0.1.0 <0.2.0"
     "@langchain/textsplitters": ~0.0.0
     "@mendable/firecrawl-js": ^0.0.13
     "@notionhq/client": ^2.2.10

From 8acc4a867eb8691ff0bb590dd0ada36561a0188a Mon Sep 17 00:00:00 2001
From: "marsal.sans" <marsal.sans@gmail.com>
Date: Fri, 23 Aug 2024 00:58:57 +0200
Subject: [PATCH 087/344] google-common[minor]: export GoogleAISafetyError type
 (#6582)

Co-authored-by: Brace Sproul <braceasproul@gmail.com>
---
 libs/langchain-google-common/src/index.ts | 1 +
 1 file changed, 1 insertion(+)

diff --git a/libs/langchain-google-common/src/index.ts b/libs/langchain-google-common/src/index.ts
index 18e62d415f9d..373617c72e55 100644
--- a/libs/langchain-google-common/src/index.ts
+++ b/libs/langchain-google-common/src/index.ts
@@ -8,3 +8,4 @@ export * from "./types.js";
 export * from "./utils/stream.js";
 export * from "./utils/common.js";
 export * from "./utils/zod_to_gemini_parameters.js";
+export * from "./utils/safety.js";

From 89cb9cb049442f6139d4e75d301450015123bcbc Mon Sep 17 00:00:00 2001
From: nick-w-nick <43578531+nick-w-nick@users.noreply.github.com>
Date: Thu, 22 Aug 2024 18:59:10 -0400
Subject: [PATCH 088/344] docs[minor]: Add missing link to Runnables guide
 (#6566)

Co-authored-by: Bagatur <baskaryan@gmail.com>
Co-authored-by: Brace Sproul <braceasproul@gmail.com>
---
 docs/core_docs/docs/how_to/sequence.ipynb | 24 ++++++++++++++++++-----
 1 file changed, 19 insertions(+), 5 deletions(-)

diff --git a/docs/core_docs/docs/how_to/sequence.ipynb b/docs/core_docs/docs/how_to/sequence.ipynb
index 869a7b983c22..715b6bf704b6 100644
--- a/docs/core_docs/docs/how_to/sequence.ipynb
+++ b/docs/core_docs/docs/how_to/sequence.ipynb
@@ -63,6 +63,21 @@
     "```"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "// @lc-docs-hide-cell\n",
+    "import { ChatOpenAI } from '@langchain/openai';\n",
+    "\n",
+    "const model = new ChatOpenAI({\n",
+    "  model: \"gpt-4o\",\n",
+    "  temperature: 0,\n",
+    "})"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 2,
@@ -72,7 +87,6 @@
     "import { StringOutputParser } from \"@langchain/core/output_parsers\";\n",
     "import { ChatPromptTemplate } from \"@langchain/core/prompts\";\n",
     "\n",
-    "\n",
     "const prompt = ChatPromptTemplate.fromTemplate(\"tell me a joke about {topic}\")\n",
     "\n",
     "const chain = prompt.pipe(model).pipe(new StringOutputParser())"
@@ -142,7 +156,7 @@
     "const analysisPrompt = ChatPromptTemplate.fromTemplate(\"is this a funny joke? {joke}\")\n",
     "\n",
     "const composedChain = new RunnableLambda({\n",
-    "  func: async (input) => {\n",
+    "  func: async (input: { topic: string }) => {\n",
     "    const result = await chain.invoke(input);\n",
     "    return { joke: result };\n",
     "  }\n",
@@ -210,15 +224,15 @@
     "\n",
     "You now know some ways to chain two runnables together.\n",
     "\n",
-    "To learn more, see the other how-to guides on runnables in this section."
+    "To learn more, see the other how-to guides on runnables in [this section](/docs/how_to/#langchain-expression-language-lcel)."
    ]
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Deno",
+   "display_name": "TypeScript",
    "language": "typescript",
-   "name": "deno"
+   "name": "tslab"
   },
   "language_info": {
    "codemirror_mode": {

From f4f50f9be781ebee9b387ad12a8dbac4897e7e2f Mon Sep 17 00:00:00 2001
From: Damian Schenkelman <damian.schenkelman@gmail.com>
Date: Thu, 22 Aug 2024 19:59:28 -0300
Subject: [PATCH 089/344] langchain[minor]: Support storing and retrieving
 Document id field in MemoryVectorStore (#6572)

Co-authored-by: dschenkelman <dmaian.schenkelman@gmail.com>
Co-authored-by: Brace Sproul <braceasproul@gmail.com>
---
 langchain/src/vectorstores/memory.ts          |  6 +++
 .../src/vectorstores/tests/memory.test.ts     | 38 +++++++++++++++++++
 2 files changed, 44 insertions(+)

diff --git a/langchain/src/vectorstores/memory.ts b/langchain/src/vectorstores/memory.ts
index fc77840a77ab..d6210a95f1cc 100644
--- a/langchain/src/vectorstores/memory.ts
+++ b/langchain/src/vectorstores/memory.ts
@@ -17,6 +17,7 @@ interface MemoryVector {
   embedding: number[];
   // eslint-disable-next-line @typescript-eslint/no-explicit-any
   metadata: Record<string, any>;
+  id?: string;
 }
 
 /**
@@ -186,6 +187,7 @@ export class MemoryVectorStore extends VectorStore {
       content: documents[idx].pageContent,
       embedding,
       metadata: documents[idx].metadata,
+      id: documents[idx].id,
     }));
 
     this.memoryVectors = this.memoryVectors.concat(memoryVectors);
@@ -204,6 +206,7 @@ export class MemoryVectorStore extends VectorStore {
       const doc = new Document({
         metadata: memoryVector.metadata,
         pageContent: memoryVector.content,
+        id: memoryVector.id,
       });
       return filter(doc);
     };
@@ -215,6 +218,7 @@ export class MemoryVectorStore extends VectorStore {
         metadata: vector.metadata,
         content: vector.content,
         embedding: vector.embedding,
+        id: vector.id,
       }))
       .sort((a, b) => (a.similarity > b.similarity ? -1 : 0))
       .slice(0, k);
@@ -240,6 +244,7 @@ export class MemoryVectorStore extends VectorStore {
       new Document({
         metadata: search.metadata,
         pageContent: search.content,
+        id: search.id,
       }),
       search.similarity,
     ]);
@@ -273,6 +278,7 @@ export class MemoryVectorStore extends VectorStore {
         new Document({
           metadata: searches[idx].metadata,
           pageContent: searches[idx].content,
+          id: searches[idx].id,
         })
     );
   }
diff --git a/langchain/src/vectorstores/tests/memory.test.ts b/langchain/src/vectorstores/tests/memory.test.ts
index 92ad7839ff48..02b893aa0cfd 100644
--- a/langchain/src/vectorstores/tests/memory.test.ts
+++ b/langchain/src/vectorstores/tests/memory.test.ts
@@ -30,6 +30,44 @@ test("MemoryVectorStore with external ids", async () => {
   ]);
 });
 
+test("MemoryVectorStore stores and retrieves document IDs", async () => {
+  const embeddings = new SyntheticEmbeddings({
+    vectorSize: 1536,
+  });
+  const store = new MemoryVectorStore(embeddings);
+
+  const filterFunc = (doc: DocumentInterface): boolean => {
+    const { metadata } = doc;
+    if (metadata.namespace <= 2) {
+      return true;
+    }
+    return false;
+  };
+
+  const retriever = store.asRetriever({
+    k: 2,
+    filter: filterFunc,
+  });
+
+  expect(retriever).toBeDefined();
+
+  await retriever.addDocuments([
+    { pageContent: "hello", metadata: { namespace: 1 }, id: "1" },
+    { pageContent: "hello", metadata: { namespace: 2 }, id: "2" },
+    { pageContent: "hello", metadata: { namespace: 3 }, id: "3" },
+    { pageContent: "hello", metadata: { namespace: 4 }, id: "4" },
+  ]);
+
+  const results = await retriever.getRelevantDocuments("hello");
+
+  expect(results).toHaveLength(2);
+
+  expect(results).toEqual([
+    new Document({ metadata: { namespace: 1 }, pageContent: "hello", id: "1" }),
+    new Document({ metadata: { namespace: 2 }, pageContent: "hello", id: "2" }),
+  ]);
+});
+
 test("MemoryVectorStore as retriever can filter metadata", async () => {
   const embeddings = new SyntheticEmbeddings({
     vectorSize: 1536,

From c541d66bf269fa7b2c99fc348787567977ff6f18 Mon Sep 17 00:00:00 2001
From: Brace Sproul <braceasproul@gmail.com>
Date: Thu, 22 Aug 2024 17:57:59 -0700
Subject: [PATCH 090/344] google-common[patch]: Release 0.0.27 (#6608)

---
 libs/langchain-google-common/package.json | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/libs/langchain-google-common/package.json b/libs/langchain-google-common/package.json
index c913b36f38bd..242093637b64 100644
--- a/libs/langchain-google-common/package.json
+++ b/libs/langchain-google-common/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/google-common",
-  "version": "0.0.26",
+  "version": "0.0.27",
   "description": "Core types and classes for Google services.",
   "type": "module",
   "engines": {

From 94aa109b300ec664f9ab586e07776193baed83ff Mon Sep 17 00:00:00 2001
From: Brace Sproul <braceasproul@gmail.com>
Date: Thu, 22 Aug 2024 18:02:16 -0700
Subject: [PATCH 091/344] google[patch]: Release 0.0.27 (#6609)

---
 libs/langchain-google-gauth/package.json      |  4 +--
 .../package.json                              |  6 ++--
 libs/langchain-google-vertexai/package.json   |  6 ++--
 libs/langchain-google-webauth/package.json    |  4 +--
 yarn.lock                                     | 30 ++++++++++++-------
 5 files changed, 30 insertions(+), 20 deletions(-)

diff --git a/libs/langchain-google-gauth/package.json b/libs/langchain-google-gauth/package.json
index 3924cb8b97b2..e70fa0a15204 100644
--- a/libs/langchain-google-gauth/package.json
+++ b/libs/langchain-google-gauth/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/google-gauth",
-  "version": "0.0.26",
+  "version": "0.0.27",
   "description": "Google auth based authentication support for Google services",
   "type": "module",
   "engines": {
@@ -36,7 +36,7 @@
   "license": "MIT",
   "dependencies": {
     "@langchain/core": ">=0.2.21 <0.3.0",
-    "@langchain/google-common": "~0.0.26",
+    "@langchain/google-common": "~0.0.27",
     "google-auth-library": "^8.9.0"
   },
   "devDependencies": {
diff --git a/libs/langchain-google-vertexai-web/package.json b/libs/langchain-google-vertexai-web/package.json
index 105600328c59..c4429f8e326b 100644
--- a/libs/langchain-google-vertexai-web/package.json
+++ b/libs/langchain-google-vertexai-web/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/google-vertexai-web",
-  "version": "0.0.26",
+  "version": "0.0.27",
   "description": "LangChain.js support for Google Vertex AI Web",
   "type": "module",
   "engines": {
@@ -33,11 +33,11 @@
   "license": "MIT",
   "dependencies": {
     "@langchain/core": ">=0.2.21 <0.3.0",
-    "@langchain/google-webauth": "~0.0.26"
+    "@langchain/google-webauth": "~0.0.27"
   },
   "devDependencies": {
     "@jest/globals": "^29.5.0",
-    "@langchain/google-common": "~0.0",
+    "@langchain/google-common": "^0.0.27",
     "@langchain/scripts": ">=0.1.0 <0.2.0",
     "@langchain/standard-tests": "0.0.0",
     "@swc/core": "^1.3.90",
diff --git a/libs/langchain-google-vertexai/package.json b/libs/langchain-google-vertexai/package.json
index 143e7505ce17..5fcea15ee516 100644
--- a/libs/langchain-google-vertexai/package.json
+++ b/libs/langchain-google-vertexai/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/google-vertexai",
-  "version": "0.0.26",
+  "version": "0.0.27",
   "description": "LangChain.js support for Google Vertex AI",
   "type": "module",
   "engines": {
@@ -33,11 +33,11 @@
   "license": "MIT",
   "dependencies": {
     "@langchain/core": ">=0.2.21 <0.3.0",
-    "@langchain/google-gauth": "~0.0.26"
+    "@langchain/google-gauth": "~0.0.27"
   },
   "devDependencies": {
     "@jest/globals": "^29.5.0",
-    "@langchain/google-common": "~0.0",
+    "@langchain/google-common": "^0.0.27",
     "@langchain/scripts": ">=0.1.0 <0.2.0",
     "@langchain/standard-tests": "0.0.0",
     "@swc/core": "^1.3.90",
diff --git a/libs/langchain-google-webauth/package.json b/libs/langchain-google-webauth/package.json
index 3ed28832fea2..320f731a088b 100644
--- a/libs/langchain-google-webauth/package.json
+++ b/libs/langchain-google-webauth/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/google-webauth",
-  "version": "0.0.26",
+  "version": "0.0.27",
   "description": "Web-based authentication support for Google services",
   "type": "module",
   "engines": {
@@ -33,7 +33,7 @@
   "license": "MIT",
   "dependencies": {
     "@langchain/core": ">=0.2.21 <0.3.0",
-    "@langchain/google-common": "~0.0.26",
+    "@langchain/google-common": "~0.0.27",
     "web-auth-library": "^1.0.3"
   },
   "devDependencies": {
diff --git a/yarn.lock b/yarn.lock
index 8a47d3436178..4db119d10fb2 100644
--- a/yarn.lock
+++ b/yarn.lock
@@ -11760,7 +11760,7 @@ __metadata:
   languageName: unknown
   linkType: soft
 
-"@langchain/google-common@workspace:*, @langchain/google-common@workspace:libs/langchain-google-common, @langchain/google-common@~0.0, @langchain/google-common@~0.0.26":
+"@langchain/google-common@^0.0.27, @langchain/google-common@workspace:*, @langchain/google-common@workspace:libs/langchain-google-common, @langchain/google-common@~0.0.27":
   version: 0.0.0-use.local
   resolution: "@langchain/google-common@workspace:libs/langchain-google-common"
   dependencies:
@@ -11793,13 +11793,13 @@ __metadata:
   languageName: unknown
   linkType: soft
 
-"@langchain/google-gauth@workspace:libs/langchain-google-gauth, @langchain/google-gauth@~0.0.26":
+"@langchain/google-gauth@workspace:libs/langchain-google-gauth, @langchain/google-gauth@~0.0.26, @langchain/google-gauth@~0.0.27":
   version: 0.0.0-use.local
   resolution: "@langchain/google-gauth@workspace:libs/langchain-google-gauth"
   dependencies:
     "@jest/globals": ^29.5.0
     "@langchain/core": ">=0.2.21 <0.3.0"
-    "@langchain/google-common": ~0.0.26
+    "@langchain/google-common": ~0.0.27
     "@langchain/scripts": ">=0.1.0 <0.2.0"
     "@swc/core": ^1.3.90
     "@swc/jest": ^0.2.29
@@ -11867,8 +11867,8 @@ __metadata:
   dependencies:
     "@jest/globals": ^29.5.0
     "@langchain/core": ">=0.2.21 <0.3.0"
-    "@langchain/google-common": ~0.0
-    "@langchain/google-webauth": ~0.0.26
+    "@langchain/google-common": ^0.0.27
+    "@langchain/google-webauth": ~0.0.27
     "@langchain/scripts": ">=0.1.0 <0.2.0"
     "@langchain/standard-tests": 0.0.0
     "@swc/core": ^1.3.90
@@ -11895,14 +11895,24 @@ __metadata:
   languageName: unknown
   linkType: soft
 
-"@langchain/google-vertexai@^0.0.26, @langchain/google-vertexai@workspace:*, @langchain/google-vertexai@workspace:libs/langchain-google-vertexai":
+"@langchain/google-vertexai@npm:^0.0.26":
+  version: 0.0.26
+  resolution: "@langchain/google-vertexai@npm:0.0.26"
+  dependencies:
+    "@langchain/core": ">=0.2.21 <0.3.0"
+    "@langchain/google-gauth": ~0.0.26
+  checksum: 3ffb04cbf50f1b361178df4eac9fbd711f21405e6ad882a1d16e435cec382d9d9d52b02e47adc3a6b5e5b5cdf7c43cfd3ff0c7bdaaf8ff9e9bc0245e6beadbc2
+  languageName: node
+  linkType: hard
+
+"@langchain/google-vertexai@workspace:*, @langchain/google-vertexai@workspace:libs/langchain-google-vertexai":
   version: 0.0.0-use.local
   resolution: "@langchain/google-vertexai@workspace:libs/langchain-google-vertexai"
   dependencies:
     "@jest/globals": ^29.5.0
     "@langchain/core": ">=0.2.21 <0.3.0"
-    "@langchain/google-common": ~0.0
-    "@langchain/google-gauth": ~0.0.26
+    "@langchain/google-common": ^0.0.27
+    "@langchain/google-gauth": ~0.0.27
     "@langchain/scripts": ">=0.1.0 <0.2.0"
     "@langchain/standard-tests": 0.0.0
     "@swc/core": ^1.3.90
@@ -11929,13 +11939,13 @@ __metadata:
   languageName: unknown
   linkType: soft
 
-"@langchain/google-webauth@workspace:libs/langchain-google-webauth, @langchain/google-webauth@~0.0.26":
+"@langchain/google-webauth@workspace:libs/langchain-google-webauth, @langchain/google-webauth@~0.0.27":
   version: 0.0.0-use.local
   resolution: "@langchain/google-webauth@workspace:libs/langchain-google-webauth"
   dependencies:
     "@jest/globals": ^29.5.0
     "@langchain/core": ">=0.2.21 <0.3.0"
-    "@langchain/google-common": ~0.0.26
+    "@langchain/google-common": ~0.0.27
     "@langchain/scripts": ">=0.1.0 <0.2.0"
     "@swc/core": ^1.3.90
     "@swc/jest": ^0.2.29

From a28c6d409312d03ca44cb0e564107c3daa3d83a4 Mon Sep 17 00:00:00 2001
From: Brace Sproul <braceasproul@gmail.com>
Date: Thu, 22 Aug 2024 18:07:44 -0700
Subject: [PATCH 092/344] scripts[patch]: Revert change to delete folder func
 (#6607)

---
 libs/langchain-scripts/package.json       |  2 +-
 libs/langchain-scripts/src/build/index.ts | 79 ++++++++++-------------
 2 files changed, 36 insertions(+), 45 deletions(-)

diff --git a/libs/langchain-scripts/package.json b/libs/langchain-scripts/package.json
index 7b5758284a9b..258423db68b8 100644
--- a/libs/langchain-scripts/package.json
+++ b/libs/langchain-scripts/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/scripts",
-  "version": "0.1.0",
+  "version": "0.1.1",
   "description": "Shared scripts for LangChain.js",
   "type": "module",
   "engines": {
diff --git a/libs/langchain-scripts/src/build/index.ts b/libs/langchain-scripts/src/build/index.ts
index 0efb6f720379..5a02a2e9ff45 100644
--- a/libs/langchain-scripts/src/build/index.ts
+++ b/libs/langchain-scripts/src/build/index.ts
@@ -5,7 +5,6 @@ import { Command } from "commander";
 import { rollup } from "@rollup/wasm-node";
 import path from "node:path";
 import { glob } from "glob";
-import { setTimeout } from "node:timers/promises";
 import { ExportsMapValue, ImportData, LangChainConfig } from "../types.js";
 
 async function asyncSpawn(command: string, args: string[]) {
@@ -29,55 +28,47 @@ async function asyncSpawn(command: string, args: string[]) {
   });
 }
 
-const deleteFolderRecursive = async function (
-  inputPath: string,
-  retries = 3,
-  delay = 100
-) {
-  for (let attempt = 0; attempt < retries; attempt += 1) {
-    try {
-      // Verify the path exists
-      if (
-        await fs.promises
-          .access(inputPath)
-          .then(() => true)
-          .catch(() => false)
-      ) {
-        const pathStat = await fs.promises.lstat(inputPath);
-        // If it's a file, delete it and return
-        if (pathStat.isFile()) {
-          await fs.promises.unlink(inputPath);
-        } else if (pathStat.isDirectory()) {
-          // List contents of directory
-          const directoryContents = await fs.promises.readdir(inputPath);
-          if (directoryContents.length) {
-            for await (const item of directoryContents) {
-              await deleteFolderRecursive(
-                path.join(inputPath, item),
-                retries,
-                delay
-              );
+const deleteFolderRecursive = async function (inputPath: string) {
+  try {
+    // Verify the path exists
+    if (
+      await fs.promises
+        .access(inputPath)
+        .then(() => true)
+        .catch(() => false)
+    ) {
+      const pathStat = await fs.promises.lstat(inputPath);
+      // If it's a file, delete it and return
+      if (pathStat.isFile()) {
+        await fs.promises.unlink(inputPath);
+      } else if (pathStat.isDirectory()) {
+        // List contents of directory
+        const directoryContents = await fs.promises.readdir(inputPath);
+        if (directoryContents.length) {
+          for await (const item of directoryContents) {
+            const itemStat = await fs.promises.lstat(
+              path.join(inputPath, item)
+            );
+            if (itemStat.isFile()) {
+              // Delete file
+              await fs.promises.unlink(path.join(inputPath, item));
+            } else if (itemStat.isDirectory()) {
+              await deleteFolderRecursive(path.join(inputPath, item));
             }
           }
-          // If the directory is empty or all contents have been deleted, delete it
+        } else if (directoryContents.length === 0) {
+          // If the directory is empty, delete it
           await fs.promises.rmdir(inputPath);
         }
       }
-      // If we reach here, the operation was successful
-      return;
-      // eslint-disable-next-line @typescript-eslint/no-explicit-any
-    } catch (error: any) {
-      if (error.code === "ENOENT") {
-        // File or directory doesn't exist, consider it deleted
-        return;
-      }
-      if (attempt === retries - 1) {
-        // If this was the last attempt, throw the error
-        throw error;
-      }
-      // Wait before the next attempt
-      await setTimeout(delay);
     }
+    // eslint-disable-next-line @typescript-eslint/no-explicit-any
+  } catch (error: any) {
+    if (error.code !== "ENOENT") {
+      // If the error is not "file or directory doesn't exist", rethrow it
+      throw error;
+    }
+    // Otherwise, ignore the error (file or directory already doesn't exist)
   }
 };
 

From c622c546524a344a6b136b5a3cb62b193dbe758c Mon Sep 17 00:00:00 2001
From: Brace Sproul <braceasproul@gmail.com>
Date: Thu, 22 Aug 2024 18:09:12 -0700
Subject: [PATCH 093/344] community[patch]: Release 0.2.31 (#6610)

---
 libs/langchain-community/package.json | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/libs/langchain-community/package.json b/libs/langchain-community/package.json
index 2f3767be39ac..767540e6f2fd 100644
--- a/libs/langchain-community/package.json
+++ b/libs/langchain-community/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/community",
-  "version": "0.2.30",
+  "version": "0.2.31",
   "description": "Third-party integrations for LangChain.js",
   "type": "module",
   "engines": {

From 81af1fc7b33f6f07856af0a485da194762862264 Mon Sep 17 00:00:00 2001
From: Brace Sproul <braceasproul@gmail.com>
Date: Thu, 22 Aug 2024 18:14:11 -0700
Subject: [PATCH 094/344] Release 0.2.17 (#6611)

---
 langchain/package.json | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/langchain/package.json b/langchain/package.json
index 5c83ce64f9ee..ea81f73ccef1 100644
--- a/langchain/package.json
+++ b/langchain/package.json
@@ -1,6 +1,6 @@
 {
   "name": "langchain",
-  "version": "0.2.16",
+  "version": "0.2.17",
   "description": "Typescript bindings for langchain",
   "type": "module",
   "engines": {

From 377ad8b9500321e8f297b1d9cbc0600a68bc01f4 Mon Sep 17 00:00:00 2001
From: Brace Sproul <braceasproul@gmail.com>
Date: Thu, 22 Aug 2024 21:32:24 -0700
Subject: [PATCH 095/344] langchain[patch]: Bump vertex dep (#6613)

---
 langchain/package.json |  2 +-
 yarn.lock              | 16 +++-------------
 2 files changed, 4 insertions(+), 14 deletions(-)

diff --git a/langchain/package.json b/langchain/package.json
index ea81f73ccef1..3465af3054fe 100644
--- a/langchain/package.json
+++ b/langchain/package.json
@@ -609,7 +609,7 @@
     "@langchain/aws": "^0.0.5",
     "@langchain/cohere": "^0.2.1",
     "@langchain/google-genai": "^0.0.26",
-    "@langchain/google-vertexai": "^0.0.26",
+    "@langchain/google-vertexai": "~0.0",
     "@langchain/groq": "^0.0.15",
     "@langchain/mistralai": "^0.0.26",
     "@langchain/ollama": "^0.0.2",
diff --git a/yarn.lock b/yarn.lock
index 4db119d10fb2..2548d54d63d0 100644
--- a/yarn.lock
+++ b/yarn.lock
@@ -11793,7 +11793,7 @@ __metadata:
   languageName: unknown
   linkType: soft
 
-"@langchain/google-gauth@workspace:libs/langchain-google-gauth, @langchain/google-gauth@~0.0.26, @langchain/google-gauth@~0.0.27":
+"@langchain/google-gauth@workspace:libs/langchain-google-gauth, @langchain/google-gauth@~0.0.27":
   version: 0.0.0-use.local
   resolution: "@langchain/google-gauth@workspace:libs/langchain-google-gauth"
   dependencies:
@@ -11895,17 +11895,7 @@ __metadata:
   languageName: unknown
   linkType: soft
 
-"@langchain/google-vertexai@npm:^0.0.26":
-  version: 0.0.26
-  resolution: "@langchain/google-vertexai@npm:0.0.26"
-  dependencies:
-    "@langchain/core": ">=0.2.21 <0.3.0"
-    "@langchain/google-gauth": ~0.0.26
-  checksum: 3ffb04cbf50f1b361178df4eac9fbd711f21405e6ad882a1d16e435cec382d9d9d52b02e47adc3a6b5e5b5cdf7c43cfd3ff0c7bdaaf8ff9e9bc0245e6beadbc2
-  languageName: node
-  linkType: hard
-
-"@langchain/google-vertexai@workspace:*, @langchain/google-vertexai@workspace:libs/langchain-google-vertexai":
+"@langchain/google-vertexai@workspace:*, @langchain/google-vertexai@workspace:libs/langchain-google-vertexai, @langchain/google-vertexai@~0.0":
   version: 0.0.0-use.local
   resolution: "@langchain/google-vertexai@workspace:libs/langchain-google-vertexai"
   dependencies:
@@ -32062,7 +32052,7 @@ __metadata:
     "@langchain/cohere": ^0.2.1
     "@langchain/core": ">=0.2.21 <0.3.0"
     "@langchain/google-genai": ^0.0.26
-    "@langchain/google-vertexai": ^0.0.26
+    "@langchain/google-vertexai": ~0.0
     "@langchain/groq": ^0.0.15
     "@langchain/mistralai": ^0.0.26
     "@langchain/ollama": ^0.0.2

From e15307fa41cb09079a7cf74dec9fa516b480c8b1 Mon Sep 17 00:00:00 2001
From: Brace Sproul <braceasproul@gmail.com>
Date: Fri, 23 Aug 2024 12:16:00 -0700
Subject: [PATCH 096/344] cohere[patch]: Do not test stream tool calls in
 cohere (#6617)

---
 .../src/tests/chat_models.standard.int.test.ts            | 8 ++++++++
 1 file changed, 8 insertions(+)

diff --git a/libs/langchain-cohere/src/tests/chat_models.standard.int.test.ts b/libs/langchain-cohere/src/tests/chat_models.standard.int.test.ts
index e9586d0107e9..db0f8df4dba1 100644
--- a/libs/langchain-cohere/src/tests/chat_models.standard.int.test.ts
+++ b/libs/langchain-cohere/src/tests/chat_models.standard.int.test.ts
@@ -54,6 +54,14 @@ class ChatCohereStandardIntegrationTests extends ChatModelIntegrationTests<
       "Prompt does not always cause Cohere to invoke a tool. TODO: re-write inside this class with better prompting for cohere."
     );
   }
+
+  async testStreamTools(): Promise<void> {
+    this.skipTestMessage(
+      "testStreamTools",
+      "ChatCohere",
+      "Cohere only responds with the tool call in the final chunk. TODO: fix implementation to actually stream tools."
+    );
+  }
 }
 
 const testClass = new ChatCohereStandardIntegrationTests();

From 0cd64d85dba1f02fd1b0fc4762d1ed310ebf805a Mon Sep 17 00:00:00 2001
From: Brace Sproul <braceasproul@gmail.com>
Date: Fri, 23 Aug 2024 14:40:34 -0700
Subject: [PATCH 097/344] scripts[patch]: Use fs.rm for deleting directories
 (#6619)

---
 libs/langchain-scripts/package.json       |   2 +-
 libs/langchain-scripts/src/build/index.ts | 107 ++++++++--------------
 2 files changed, 40 insertions(+), 69 deletions(-)

diff --git a/libs/langchain-scripts/package.json b/libs/langchain-scripts/package.json
index 258423db68b8..13e9167a436b 100644
--- a/libs/langchain-scripts/package.json
+++ b/libs/langchain-scripts/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/scripts",
-  "version": "0.1.1",
+  "version": "0.1.2",
   "description": "Shared scripts for LangChain.js",
   "type": "module",
   "engines": {
diff --git a/libs/langchain-scripts/src/build/index.ts b/libs/langchain-scripts/src/build/index.ts
index 5a02a2e9ff45..f224d3678383 100644
--- a/libs/langchain-scripts/src/build/index.ts
+++ b/libs/langchain-scripts/src/build/index.ts
@@ -28,47 +28,25 @@ async function asyncSpawn(command: string, args: string[]) {
   });
 }
 
-const deleteFolderRecursive = async function (inputPath: string) {
+const fsRmRfSafe = async (inputPath: string) => {
   try {
-    // Verify the path exists
-    if (
-      await fs.promises
-        .access(inputPath)
-        .then(() => true)
-        .catch(() => false)
-    ) {
-      const pathStat = await fs.promises.lstat(inputPath);
-      // If it's a file, delete it and return
-      if (pathStat.isFile()) {
-        await fs.promises.unlink(inputPath);
-      } else if (pathStat.isDirectory()) {
-        // List contents of directory
-        const directoryContents = await fs.promises.readdir(inputPath);
-        if (directoryContents.length) {
-          for await (const item of directoryContents) {
-            const itemStat = await fs.promises.lstat(
-              path.join(inputPath, item)
-            );
-            if (itemStat.isFile()) {
-              // Delete file
-              await fs.promises.unlink(path.join(inputPath, item));
-            } else if (itemStat.isDirectory()) {
-              await deleteFolderRecursive(path.join(inputPath, item));
-            }
-          }
-        } else if (directoryContents.length === 0) {
-          // If the directory is empty, delete it
-          await fs.promises.rmdir(inputPath);
-        }
-      }
-    }
+    await fs.promises.rm(inputPath, { recursive: true, force: true });
     // eslint-disable-next-line @typescript-eslint/no-explicit-any
   } catch (error: any) {
-    if (error.code !== "ENOENT") {
-      // If the error is not "file or directory doesn't exist", rethrow it
-      throw error;
-    }
-    // Otherwise, ignore the error (file or directory already doesn't exist)
+    console.log(
+      `Error deleting directory via fs.promises.rm: ${error.code}. Path: ${inputPath}`
+    );
+  }
+};
+
+const fsUnlinkSafe = async (filePath: string) => {
+  try {
+    await fs.promises.unlink(filePath);
+    // eslint-disable-next-line @typescript-eslint/no-explicit-any
+  } catch (error: any) {
+    console.log(
+      `Error deleting file via fs.promises.unlink: ${error.code}. Path: ${filePath}`
+    );
   }
 };
 
@@ -611,15 +589,11 @@ function processOptions(): {
 
 async function cleanGeneratedFiles(config: LangChainConfig) {
   const allFileNames = Object.keys(config.entrypoints)
-    .map((key) => [`${key}.cjs`, `${key}.js`, `${key}.d.ts`, `${key}.d.dts`])
+    .map((key) => [`${key}.cjs`, `${key}.js`, `${key}.d.ts`])
     .flat();
   return Promise.all(
     allFileNames.map(async (fileName) => {
-      try {
-        await fs.promises.unlink(fileName);
-      } catch {
-        // no-op
-      }
+      await fsUnlinkSafe(fileName);
     })
   );
 }
@@ -637,8 +611,9 @@ export async function moveAndRename({
     return;
   }
 
+  let renamedDestination = "";
   try {
-    for (const file of await fs.promises.readdir(abs(source), {
+    for await (const file of await fs.promises.readdir(abs(source), {
       withFileTypes: true,
     })) {
       if (file.isDirectory()) {
@@ -667,17 +642,23 @@ export async function moveAndRename({
 
         // Rename the file to .cjs
         const renamed = path.format({ name: parsed.name, ext: ".cjs" });
-
-        await fs.promises.writeFile(
-          abs(`${dest}/${renamed}`),
-          rewritten,
-          "utf8"
+        renamedDestination = abs(`${dest}/${renamed}`);
+        await fs.promises.writeFile(renamedDestination, rewritten, "utf8");
+      }
+    }
+    // eslint-disable-next-line @typescript-eslint/no-explicit-any
+  } catch (error: any) {
+    console.error("Error during moveAndRename");
+    if (error.code === "ENOENT") {
+      // Check if file already exists in destination
+      if (fs.existsSync(renamedDestination)) {
+        console.error(
+          `File already exists in destination: ${renamedDestination}`
         );
+      } else {
+        console.error(`File not found: ${error.path}`);
       }
     }
-  } catch (err) {
-    console.error(err);
-    process.exit(1);
   }
 }
 
@@ -702,14 +683,10 @@ export async function buildWithTSup() {
   // Clean & generate build files
   if (pre && shouldGenMaps) {
     await Promise.all([
-      deleteFolderRecursive("dist").catch((e) => {
+      fsRmRfSafe("dist").catch((e) => {
         console.error("Error removing dist (pre && shouldGenMaps)");
         throw e;
       }),
-      deleteFolderRecursive(".turbo").catch((e) => {
-        console.error("Error removing .turbo (pre && shouldGenMaps)");
-        throw e;
-      }),
       cleanGeneratedFiles(config),
       createImportMapFile(config),
       generateImportConstants(config),
@@ -717,14 +694,10 @@ export async function buildWithTSup() {
     ]);
   } else if (pre && !shouldGenMaps) {
     await Promise.all([
-      deleteFolderRecursive("dist").catch((e) => {
+      fsRmRfSafe("dist").catch((e) => {
         console.error("Error removing dist (pre && !shouldGenMaps)");
         throw e;
       }),
-      deleteFolderRecursive(".turbo").catch((e) => {
-        console.error("Error deleting with deleteFolderRecursive");
-        throw e;
-      }),
       cleanGeneratedFiles(config),
     ]);
   }
@@ -742,11 +715,11 @@ export async function buildWithTSup() {
     // move CJS to dist
     await Promise.all([
       updatePackageJson(config),
-      deleteFolderRecursive("dist-cjs").catch((e) => {
+      fsRmRfSafe("dist-cjs").catch((e) => {
         console.error("Error removing dist-cjs");
         throw e;
       }),
-      deleteFolderRecursive("dist/tests").catch((e) => {
+      fsRmRfSafe("dist/tests").catch((e) => {
         console.error("Error removing dist/tests");
         throw e;
       }),
@@ -754,9 +727,7 @@ export async function buildWithTSup() {
         // Required for cross-platform compatibility.
         // Windows does not manage globs the same as Max/Linux when deleting directories.
         const testFolders = await glob("dist/**/tests");
-        await Promise.all(
-          testFolders.map((folder) => deleteFolderRecursive(folder))
-        );
+        await Promise.all(testFolders.map((folder) => fsRmRfSafe(folder)));
       })().catch((e) => {
         console.error("Error removing dist/**/tests");
         throw e;

From 037cb6f5bad31f8b30d5cddec3704727473cfe30 Mon Sep 17 00:00:00 2001
From: Tat Dat Duong <david@duong.cz>
Date: Mon, 26 Aug 2024 15:41:09 +0200
Subject: [PATCH 098/344] fix(core): return conditional edge in toJSON

---
 langchain-core/src/runnables/graph.ts | 27 +++++++++++++++------------
 1 file changed, 15 insertions(+), 12 deletions(-)

diff --git a/langchain-core/src/runnables/graph.ts b/langchain-core/src/runnables/graph.ts
index 880305b5bb2c..1137b591da5c 100644
--- a/langchain-core/src/runnables/graph.ts
+++ b/langchain-core/src/runnables/graph.ts
@@ -68,18 +68,21 @@ export class Graph {
         id: stableNodeIds[node.id],
         ...nodeDataJson(node),
       })),
-      edges: this.edges.map((edge) =>
-        edge.data
-          ? {
-              source: stableNodeIds[edge.source],
-              target: stableNodeIds[edge.target],
-              data: edge.data,
-            }
-          : {
-              source: stableNodeIds[edge.source],
-              target: stableNodeIds[edge.target],
-            }
-      ),
+      edges: this.edges.map((edge) => {
+        const item: Record<string, unknown> = {
+          source: stableNodeIds[edge.source],
+          target: stableNodeIds[edge.target],
+        };
+
+        if (typeof edge.data !== "undefined") {
+          item.data = edge.data;
+        }
+
+        if (typeof edge.conditional !== "undefined") {
+          item.conditional = edge.conditional;
+        }
+        return item;
+      }),
     };
   }
 

From d3dfa92c9635fa5671e956aa66b2daec168c3d8e Mon Sep 17 00:00:00 2001
From: Brace Sproul <braceasproul@gmail.com>
Date: Mon, 26 Aug 2024 09:08:01 -0700
Subject: [PATCH 099/344] langchain[patch]: Update version for removal of
 deprecated code (#6620)

---
 langchain/src/chains/conversational_retrieval_chain.ts | 2 +-
 langchain/src/chains/llm_chain.ts                      | 2 +-
 langchain/src/chains/retrieval_qa.ts                   | 2 +-
 3 files changed, 3 insertions(+), 3 deletions(-)

diff --git a/langchain/src/chains/conversational_retrieval_chain.ts b/langchain/src/chains/conversational_retrieval_chain.ts
index c5b5b75f479d..8e9ab9c2b83c 100644
--- a/langchain/src/chains/conversational_retrieval_chain.ts
+++ b/langchain/src/chains/conversational_retrieval_chain.ts
@@ -33,7 +33,7 @@ export interface ConversationalRetrievalQAChainInput extends ChainInputs {
 }
 
 /**
- * @deprecated This class will be removed in 0.3.0. See below for an example implementation using
+ * @deprecated This class will be removed in 1.0.0. See below for an example implementation using
  * `createRetrievalChain`.
  *
  * Class for conducting conversational question-answering tasks with a
diff --git a/langchain/src/chains/llm_chain.ts b/langchain/src/chains/llm_chain.ts
index f647546ed369..46872e4e13c4 100644
--- a/langchain/src/chains/llm_chain.ts
+++ b/langchain/src/chains/llm_chain.ts
@@ -72,7 +72,7 @@ function _getLanguageModel(llmLike: RunnableInterface): BaseLanguageModel {
 }
 
 /**
- * @deprecated This class will be removed in 0.3.0. Use the LangChain Expression Language (LCEL) instead.
+ * @deprecated This class will be removed in 1.0.0. Use the LangChain Expression Language (LCEL) instead.
  * See the example below for how to use LCEL with the LLMChain class:
  *
  * Chain to run queries against LLMs.
diff --git a/langchain/src/chains/retrieval_qa.ts b/langchain/src/chains/retrieval_qa.ts
index 36e13af4242b..61c644f43daf 100644
--- a/langchain/src/chains/retrieval_qa.ts
+++ b/langchain/src/chains/retrieval_qa.ts
@@ -23,7 +23,7 @@ export interface RetrievalQAChainInput extends Omit<ChainInputs, "memory"> {
 }
 
 /**
- * @deprecated This class will be removed in 0.3.0. See below for an example implementation using
+ * @deprecated This class will be removed in 1.0.0. See below for an example implementation using
  * `createRetrievalChain`:
  * Class representing a chain for performing question-answering tasks with
  * a retrieval component.

From 3193cc44cd374f431c0bc5ee6f8bde559a102ca5 Mon Sep 17 00:00:00 2001
From: Brace Sproul <braceasproul@gmail.com>
Date: Mon, 26 Aug 2024 10:02:38 -0700
Subject: [PATCH 100/344] mistral[patch]: Hide secrets (#6630)

---
 libs/langchain-mistralai/src/chat_models.ts | 12 ++++++++++++
 1 file changed, 12 insertions(+)

diff --git a/libs/langchain-mistralai/src/chat_models.ts b/libs/langchain-mistralai/src/chat_models.ts
index 2d78b74334e1..18dee4c44fe1 100644
--- a/libs/langchain-mistralai/src/chat_models.ts
+++ b/libs/langchain-mistralai/src/chat_models.ts
@@ -936,6 +936,18 @@ export class ChatMistralAI<
     this.addAllHooksToHttpClient();
   }
 
+  get lc_secrets(): { [key: string]: string } | undefined {
+    return {
+      apiKey: "MISTRAL_API_KEY",
+    };
+  }
+
+  get lc_aliases(): { [key: string]: string } | undefined {
+    return {
+      apiKey: "mistral_api_key",
+    };
+  }
+
   getLsParams(options: this["ParsedCallOptions"]): LangSmithParams {
     const params = this.invocationParams(options);
     return {

From 5a827d2480a1a85807eeeb99c3713bcea2560861 Mon Sep 17 00:00:00 2001
From: Brace Sproul <braceasproul@gmail.com>
Date: Mon, 26 Aug 2024 10:05:53 -0700
Subject: [PATCH 101/344] mistral[patch]: Release 0.0.29 (#6632)

---
 libs/langchain-mistralai/package.json | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/libs/langchain-mistralai/package.json b/libs/langchain-mistralai/package.json
index 5e1b587975f8..59eb0b7b9527 100644
--- a/libs/langchain-mistralai/package.json
+++ b/libs/langchain-mistralai/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/mistralai",
-  "version": "0.0.28",
+  "version": "0.0.29",
   "description": "MistralAI integration for LangChain.js",
   "type": "module",
   "engines": {

From 943ca5ff8781a5809dce7cd22f38ed4058e6fd9c Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Mon, 26 Aug 2024 11:09:33 -0700
Subject: [PATCH 102/344] core[patch]: Adds option for more verbose parsing
 errors (#6634)

---
 langchain-core/src/tools/index.ts            | 23 ++++++++++---
 langchain-core/src/tools/tests/tools.test.ts | 36 ++++++++++++++++++++
 2 files changed, 54 insertions(+), 5 deletions(-)

diff --git a/langchain-core/src/tools/index.ts b/langchain-core/src/tools/index.ts
index 7146e2f36df1..42ceff0813ff 100644
--- a/langchain-core/src/tools/index.ts
+++ b/langchain-core/src/tools/index.ts
@@ -46,6 +46,12 @@ export interface ToolParams extends BaseLangChainParams {
    * @default "content"
    */
   responseFormat?: ResponseFormat;
+  /**
+   * Whether to show full details in the thrown parsing errors.
+   *
+   * @default false
+   */
+  verboseParsingErrors?: boolean;
 }
 
 /**
@@ -121,6 +127,9 @@ export abstract class StructuredTool<
 
   returnDirect = false;
 
+  // TODO: Make default in 0.3
+  verboseParsingErrors = false;
+
   get lc_namespace() {
     return ["langchain", "tools"];
   }
@@ -139,6 +148,8 @@ export abstract class StructuredTool<
   constructor(fields?: ToolParams) {
     super(fields ?? {});
 
+    this.verboseParsingErrors =
+      fields?.verboseParsingErrors ?? this.verboseParsingErrors;
     this.responseFormat = fields?.responseFormat ?? this.responseFormat;
   }
 
@@ -205,11 +216,13 @@ export abstract class StructuredTool<
     let parsed;
     try {
       parsed = await this.schema.parseAsync(arg);
-    } catch (e) {
-      throw new ToolInputParsingException(
-        `Received tool input did not match expected schema`,
-        JSON.stringify(arg)
-      );
+      // eslint-disable-next-line @typescript-eslint/no-explicit-any
+    } catch (e: any) {
+      let message = `Received tool input did not match expected schema`;
+      if (this.verboseParsingErrors) {
+        message = `${message}\nDetails: ${e.message}`;
+      }
+      throw new ToolInputParsingException(message, JSON.stringify(arg));
     }
 
     const config = parseCallbackConfigArg(configArg);
diff --git a/langchain-core/src/tools/tests/tools.test.ts b/langchain-core/src/tools/tests/tools.test.ts
index 2988eb64d9cf..bdcc068a4d1a 100644
--- a/langchain-core/src/tools/tests/tools.test.ts
+++ b/langchain-core/src/tools/tests/tools.test.ts
@@ -222,3 +222,39 @@ test("Tool input typing is enforced", async () => {
   const res3 = await weatherTool3.invoke("blah");
   expect(res3).toEqual("Sunny");
 });
+
+test("Tool can throw detailed errors", async () => {
+  const weatherSchema = z.object({
+    location: z.string(),
+  });
+
+  const stringTool = tool(
+    (input) => {
+      return JSON.stringify(input);
+    },
+    {
+      name: "string_tool",
+      description: "A tool that appends 'a' to the input string",
+      schema: weatherSchema,
+      verboseParsingErrors: true,
+    }
+  );
+
+  await expect(
+    stringTool.invoke({
+      // @ts-expect-error Testing parsing errors
+      location: 8,
+    })
+  ).rejects.toThrow(`Received tool input did not match expected schema
+Details: [
+  {
+    "code": "invalid_type",
+    "expected": "string",
+    "received": "number",
+    "path": [
+      "location"
+    ],
+    "message": "Expected string, received number"
+  }
+]`);
+});

From 64c5d345b84e52fa3f67acdfb0a6832934e71614 Mon Sep 17 00:00:00 2001
From: Brace Sproul <braceasproul@gmail.com>
Date: Mon, 26 Aug 2024 11:16:33 -0700
Subject: [PATCH 103/344] scripts[patch]: Add spam comment filter (#6633)

---
 .github/workflows/spam-comment-filter.yml     |  29 +++++
 libs/langchain-scripts/.eslintrc.cjs          |   1 -
 .../bin/filter_spam_comment.js                |   1 +
 libs/langchain-scripts/package.json           |   2 +
 .../src/filter_spam_comment.ts                |  51 ++++++++
 yarn.lock                                     | 123 ++++++++++++++++++
 6 files changed, 206 insertions(+), 1 deletion(-)
 create mode 100644 .github/workflows/spam-comment-filter.yml
 create mode 100755 libs/langchain-scripts/bin/filter_spam_comment.js
 create mode 100644 libs/langchain-scripts/src/filter_spam_comment.ts

diff --git a/.github/workflows/spam-comment-filter.yml b/.github/workflows/spam-comment-filter.yml
new file mode 100644
index 000000000000..bb2db6677de6
--- /dev/null
+++ b/.github/workflows/spam-comment-filter.yml
@@ -0,0 +1,29 @@
+name: Spam Comment Filter
+
+on:
+  issue_comment:
+    types: [created]
+  pull_request_review_comment:
+    types: [created]
+
+jobs:
+  filter_spam:
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v4
+      - name: Use Node.js 18.x
+        uses: actions/setup-node@v3
+        with:
+          node-version: 18.x
+      - name: Install dependencies
+        run: yarn install --immutable
+      - name: Build scripts
+        run: yarn turbo:command build --filter=@langchain/scripts
+      - name: Run spam detection script
+        env:
+          SPAM_COMMENT_GITHUB_TOKEN: ${{ secrets.SPAM_COMMENT_GITHUB_TOKEN }}
+          COMMENT_JSON: ${{ toJson(github.event.comment) }}
+          COMMENT_ID: ${{ github.event.comment.id }}
+          REPO_OWNER: ${{ github.repository_owner }}
+          REPO_NAME: ${{ github.event.repository.name }}
+        run: yarn workspace @langchain/scripts filter_spam_comment
\ No newline at end of file
diff --git a/libs/langchain-scripts/.eslintrc.cjs b/libs/langchain-scripts/.eslintrc.cjs
index c91ae3fca91d..9710d04d75c6 100644
--- a/libs/langchain-scripts/.eslintrc.cjs
+++ b/libs/langchain-scripts/.eslintrc.cjs
@@ -23,7 +23,6 @@ module.exports = {
     "*.d.ts",
   ],
   rules: {
-    "no-process-env": 2,
     "no-instanceof/no-instanceof": 2,
     "@typescript-eslint/explicit-module-boundary-types": 0,
     "@typescript-eslint/no-empty-function": 0,
diff --git a/libs/langchain-scripts/bin/filter_spam_comment.js b/libs/langchain-scripts/bin/filter_spam_comment.js
new file mode 100755
index 000000000000..0da333aee677
--- /dev/null
+++ b/libs/langchain-scripts/bin/filter_spam_comment.js
@@ -0,0 +1 @@
+import "../dist/filter_spam_comment.js";
diff --git a/libs/langchain-scripts/package.json b/libs/langchain-scripts/package.json
index 13e9167a436b..ffea6eb6d6f1 100644
--- a/libs/langchain-scripts/package.json
+++ b/libs/langchain-scripts/package.json
@@ -14,6 +14,7 @@
   },
   "homepage": "https://github.com/langchain-ai/langchainjs/tree/main/libs/langchain-scripts/",
   "bin": {
+    "filter_spam_comment": "bin/filter_spam_comment.js",
     "lc_build": "bin/build.js",
     "notebook_validate": "bin/validate_notebook.js"
   },
@@ -40,6 +41,7 @@
   "author": "LangChain",
   "license": "MIT",
   "dependencies": {
+    "@octokit/rest": "^21.0.2",
     "@rollup/wasm-node": "^4.19.0",
     "axios": "^1.6.7",
     "commander": "^11.1.0",
diff --git a/libs/langchain-scripts/src/filter_spam_comment.ts b/libs/langchain-scripts/src/filter_spam_comment.ts
new file mode 100644
index 000000000000..2a7f9105bd6e
--- /dev/null
+++ b/libs/langchain-scripts/src/filter_spam_comment.ts
@@ -0,0 +1,51 @@
+import { Octokit } from "@octokit/rest";
+
+async function spamContentFilter() {
+  if (process.env.SPAM_COMMENT_GITHUB_TOKEN === undefined) {
+    throw new Error("SPAM_COMMENT_GITHUB_TOKEN is not set");
+  }
+  if (process.env.COMMENT_JSON === undefined) {
+    throw new Error("COMMENT_JSON is not set");
+  }
+  if (process.env.COMMENT_ID === undefined) {
+    throw new Error("COMMENT_ID is not set");
+  }
+  if (process.env.REPO_OWNER === undefined) {
+    throw new Error("REPO_OWNER is not set");
+  }
+  if (process.env.REPO_NAME === undefined) {
+    throw new Error("REPO_NAME is not set");
+  }
+
+  const octokit = new Octokit({ auth: process.env.SPAM_COMMENT_GITHUB_TOKEN });
+
+  const comment: { body: string } = JSON.parse(process.env.COMMENT_JSON || "");
+  const commentId = parseInt(process.env.COMMENT_ID || "", 10);
+  const owner = process.env.REPO_OWNER || "";
+  const repo = process.env.REPO_NAME || "";
+
+  const SPAM_COMMENT_REGEX = [
+    /^download\s+(?:https?:\/\/)?[\w-]+(\.[\w-]+)+[^\s]+\s+password:\s*.+\s+in the installer menu, select\s*.+$/i,
+  ];
+
+  if (
+    SPAM_COMMENT_REGEX.some((pattern) =>
+      pattern.test(comment.body.toLowerCase())
+    )
+  ) {
+    try {
+      await octokit.rest.issues.deleteComment({
+        owner,
+        repo,
+        comment_id: commentId,
+      });
+      console.log(`Deleted spam comment with ID: ${commentId}`);
+    } catch (error) {
+      console.error("Error deleting comment:", error);
+    }
+  } else {
+    console.log("Comment is not spam");
+  }
+}
+
+void spamContentFilter();
diff --git a/yarn.lock b/yarn.lock
index 2548d54d63d0..48c3049c4726 100644
--- a/yarn.lock
+++ b/yarn.lock
@@ -12407,6 +12407,7 @@ __metadata:
   resolution: "@langchain/scripts@workspace:libs/langchain-scripts"
   dependencies:
     "@jest/globals": ^29.5.0
+    "@octokit/rest": ^21.0.2
     "@rollup/wasm-node": ^4.19.0
     "@swc/core": ^1.3.90
     "@swc/jest": ^0.2.29
@@ -12438,6 +12439,7 @@ __metadata:
     tsx: ^4.16.2
     typescript: ^5.4.5
   bin:
+    filter_spam_comment: bin/filter_spam_comment.js
     lc_build: bin/build.js
     notebook_validate: bin/validate_notebook.js
   languageName: unknown
@@ -13096,6 +13098,13 @@ __metadata:
   languageName: node
   linkType: hard
 
+"@octokit/auth-token@npm:^5.0.0":
+  version: 5.1.1
+  resolution: "@octokit/auth-token@npm:5.1.1"
+  checksum: b39516dda44aeced0326227c53aade621effe1d59c4b0f48ebe2b9fd32b5156e02705bcb2fb1bf48b11f26cc6aff1a0683c32c3d5424e0118dae6596e431d489
+  languageName: node
+  linkType: hard
+
 "@octokit/auth-unauthenticated@npm:^5.0.0":
   version: 5.0.0
   resolution: "@octokit/auth-unauthenticated@npm:5.0.0"
@@ -13151,6 +13160,31 @@ __metadata:
   languageName: node
   linkType: hard
 
+"@octokit/core@npm:^6.1.2":
+  version: 6.1.2
+  resolution: "@octokit/core@npm:6.1.2"
+  dependencies:
+    "@octokit/auth-token": ^5.0.0
+    "@octokit/graphql": ^8.0.0
+    "@octokit/request": ^9.0.0
+    "@octokit/request-error": ^6.0.1
+    "@octokit/types": ^13.0.0
+    before-after-hook: ^3.0.2
+    universal-user-agent: ^7.0.0
+  checksum: e794fb11b3942f55033f4cf6c0914953fd974587309498e8709c428660fa5c098334d83af5e41457dbe67d92d70a8b559c6cc00457d6c95290fa6c9e1d4bfc42
+  languageName: node
+  linkType: hard
+
+"@octokit/endpoint@npm:^10.0.0":
+  version: 10.1.1
+  resolution: "@octokit/endpoint@npm:10.1.1"
+  dependencies:
+    "@octokit/types": ^13.0.0
+    universal-user-agent: ^7.0.2
+  checksum: fde158f40dc9a88e92a8ac1d347a54599aa5715ec24045be9cb8ff8decb3c17b63c91eca1bab12dfe0e0cd37433127dd05cd05db14a719dca749bc56093aa915
+  languageName: node
+  linkType: hard
+
 "@octokit/endpoint@npm:^7.0.0":
   version: 7.0.6
   resolution: "@octokit/endpoint@npm:7.0.6"
@@ -13216,6 +13250,17 @@ __metadata:
   languageName: node
   linkType: hard
 
+"@octokit/graphql@npm:^8.0.0":
+  version: 8.1.1
+  resolution: "@octokit/graphql@npm:8.1.1"
+  dependencies:
+    "@octokit/request": ^9.0.0
+    "@octokit/types": ^13.0.0
+    universal-user-agent: ^7.0.0
+  checksum: 07239666b0ca38a7d8c581570b544ee9fd1a2616c8dd436af31879662b3345c44ed52e3d7b311840a1c5772a23f02caf7585aca56f36e50f38f0207a87577a9c
+  languageName: node
+  linkType: hard
+
 "@octokit/oauth-app@npm:^6.0.0":
   version: 6.0.0
   resolution: "@octokit/oauth-app@npm:6.0.0"
@@ -13286,6 +13331,17 @@ __metadata:
   languageName: node
   linkType: hard
 
+"@octokit/plugin-paginate-rest@npm:^11.0.0":
+  version: 11.3.3
+  resolution: "@octokit/plugin-paginate-rest@npm:11.3.3"
+  dependencies:
+    "@octokit/types": ^13.5.0
+  peerDependencies:
+    "@octokit/core": ">=6"
+  checksum: 93c7993562caed67b67f75aa77ffb10d032c242a70e9380e2fb9ab67dd2fb84d420231d09cd8a64f1553ffd325f3ef8c640c62e4267b7f3b352b16d4d5e11ef6
+  languageName: node
+  linkType: hard
+
 "@octokit/plugin-paginate-rest@npm:^6.1.2":
   version: 6.1.2
   resolution: "@octokit/plugin-paginate-rest@npm:6.1.2"
@@ -13327,6 +13383,15 @@ __metadata:
   languageName: node
   linkType: hard
 
+"@octokit/plugin-request-log@npm:^5.3.1":
+  version: 5.3.1
+  resolution: "@octokit/plugin-request-log@npm:5.3.1"
+  peerDependencies:
+    "@octokit/core": ">=6"
+  checksum: a27e163282c8d0ba8feee4d3cbbd1b62e1aa89a892877f7a9876fc17ddde3e1e1af922e6664221a0cabae99b8a7a2a5215b9ec2ee5222edb50e06298e99022b0
+  languageName: node
+  linkType: hard
+
 "@octokit/plugin-rest-endpoint-methods@npm:13.2.2":
   version: 13.2.2
   resolution: "@octokit/plugin-rest-endpoint-methods@npm:13.2.2"
@@ -13338,6 +13403,17 @@ __metadata:
   languageName: node
   linkType: hard
 
+"@octokit/plugin-rest-endpoint-methods@npm:^13.0.0":
+  version: 13.2.4
+  resolution: "@octokit/plugin-rest-endpoint-methods@npm:13.2.4"
+  dependencies:
+    "@octokit/types": ^13.5.0
+  peerDependencies:
+    "@octokit/core": ">=6"
+  checksum: 149643bf98933af92003c55ad7f1e87c239941e843708cfc7389d378e85069e88b7cccaf8227469ee037d54da93cbdb881a34ce9888f5a60f89c689305eb5730
+  languageName: node
+  linkType: hard
+
 "@octokit/plugin-rest-endpoint-methods@npm:^7.1.2":
   version: 7.2.3
   resolution: "@octokit/plugin-rest-endpoint-methods@npm:7.2.3"
@@ -13418,6 +13494,15 @@ __metadata:
   languageName: node
   linkType: hard
 
+"@octokit/request-error@npm:^6.0.1":
+  version: 6.1.4
+  resolution: "@octokit/request-error@npm:6.1.4"
+  dependencies:
+    "@octokit/types": ^13.0.0
+  checksum: e4e475ec50cef8e271f39e69667d0f8eaccb2367aa56b81638c629b5bbfa2b697b40207301e5c797a63051a82d8698e7c792b4050b84e383c54300a49a01304a
+  languageName: node
+  linkType: hard
+
 "@octokit/request@npm:^6.0.0":
   version: 6.2.8
   resolution: "@octokit/request@npm:6.2.8"
@@ -13457,6 +13542,18 @@ __metadata:
   languageName: node
   linkType: hard
 
+"@octokit/request@npm:^9.0.0":
+  version: 9.1.3
+  resolution: "@octokit/request@npm:9.1.3"
+  dependencies:
+    "@octokit/endpoint": ^10.0.0
+    "@octokit/request-error": ^6.0.1
+    "@octokit/types": ^13.1.0
+    universal-user-agent: ^7.0.2
+  checksum: 0a1c1a4f9ba67954402ef6d1e3d8e78518487750f3a31c100133840fff393ed9cc29533282914adf0731f7cc880a2778b8a6ac81527b376a278360a86e79597d
+  languageName: node
+  linkType: hard
+
 "@octokit/rest@npm:19.0.11":
   version: 19.0.11
   resolution: "@octokit/rest@npm:19.0.11"
@@ -13481,6 +13578,18 @@ __metadata:
   languageName: node
   linkType: hard
 
+"@octokit/rest@npm:^21.0.2":
+  version: 21.0.2
+  resolution: "@octokit/rest@npm:21.0.2"
+  dependencies:
+    "@octokit/core": ^6.1.2
+    "@octokit/plugin-paginate-rest": ^11.0.0
+    "@octokit/plugin-request-log": ^5.3.1
+    "@octokit/plugin-rest-endpoint-methods": ^13.0.0
+  checksum: 81dc98bbc27d4891a211628ea49ba40f087f986ee85d7e2f0579b66e4046dd6b6d63ffeb0eb011c9240dd61906798795e4b9e309af230f31df0a42db79ae20bc
+  languageName: node
+  linkType: hard
+
 "@octokit/tsconfig@npm:^1.0.2":
   version: 1.0.2
   resolution: "@octokit/tsconfig@npm:1.0.2"
@@ -21311,6 +21420,13 @@ __metadata:
   languageName: node
   linkType: hard
 
+"before-after-hook@npm:^3.0.2":
+  version: 3.0.2
+  resolution: "before-after-hook@npm:3.0.2"
+  checksum: 5f76a9d31909f7f1f7125b7e017ff018799308f5c1fc5a5bfeba9986149da77e6a5cdde0d151671cf374a7fa6452533237bb1de62dfd6c235c20e7c61cc9569d
+  languageName: node
+  linkType: hard
+
 "better-sqlite3@npm:9.4.0":
   version: 9.4.0
   resolution: "better-sqlite3@npm:9.4.0"
@@ -41774,6 +41890,13 @@ __metadata:
   languageName: node
   linkType: hard
 
+"universal-user-agent@npm:^7.0.0, universal-user-agent@npm:^7.0.2":
+  version: 7.0.2
+  resolution: "universal-user-agent@npm:7.0.2"
+  checksum: 3f02cb6de0bb9fbaf379566bd0320d8e46af6e4358a2e88fce7e70687ed7b48b37f479d728bb22f4204a518e363f3038ac4841c033af1ee2253f6428a6c67e53
+  languageName: node
+  linkType: hard
+
 "universalify@npm:^0.2.0":
   version: 0.2.0
   resolution: "universalify@npm:0.2.0"

From 0b34933609088dc331f6bf6be04871bcb052c978 Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Mon, 26 Aug 2024 11:22:55 -0700
Subject: [PATCH 104/344] core[patch]: Release 0.2.29 (#6635)

---
 langchain-core/package.json | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/langchain-core/package.json b/langchain-core/package.json
index 0f1ee3b0bbcb..d59b41eccb20 100644
--- a/langchain-core/package.json
+++ b/langchain-core/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/core",
-  "version": "0.2.28",
+  "version": "0.2.29",
   "description": "Core LangChain.js abstractions and schemas",
   "type": "module",
   "engines": {

From 289ec3554a8dae8b263dd437c3c8342a97e43c51 Mon Sep 17 00:00:00 2001
From: Aditya Kumar <75817213+obround@users.noreply.github.com>
Date: Mon, 26 Aug 2024 11:23:37 -0700
Subject: [PATCH 105/344] langchain[patch]: Fixes bug in ReAct agent that
 prevents parsing error handling (#6624)

Co-authored-by: Jacob Lee <jacoblee93@gmail.com>
---
 langchain/src/agents/react/output_parser.ts | 5 +++--
 1 file changed, 3 insertions(+), 2 deletions(-)

diff --git a/langchain/src/agents/react/output_parser.ts b/langchain/src/agents/react/output_parser.ts
index ba8f7b85ce59..3759830b8938 100644
--- a/langchain/src/agents/react/output_parser.ts
+++ b/langchain/src/agents/react/output_parser.ts
@@ -1,5 +1,6 @@
 import { AgentAction, AgentFinish } from "@langchain/core/agents";
 import { renderTemplate } from "@langchain/core/prompts";
+import { OutputParserException } from "@langchain/core/output_parsers";
 import { AgentActionOutputParser } from "../types.js";
 import { FORMAT_INSTRUCTIONS } from "./prompt.js";
 
@@ -69,7 +70,7 @@ export class ReActSingleInputOutputParser extends AgentActionOutputParser {
     const actionMatch = text.match(regex);
     if (actionMatch) {
       if (includesAnswer) {
-        throw new Error(
+        throw new OutputParserException(
           `${FINAL_ANSWER_AND_PARSABLE_ACTION_ERROR_MESSAGE}: ${text}`
         );
       }
@@ -95,7 +96,7 @@ export class ReActSingleInputOutputParser extends AgentActionOutputParser {
       };
     }
 
-    throw new Error(`Could not parse LLM output: ${text}`);
+    throw new OutputParserException(`Could not parse LLM output: ${text}`);
   }
 
   /**

From 3371d5dbb978a80e99694368a83e3625995b3a41 Mon Sep 17 00:00:00 2001
From: Brace Sproul <braceasproul@gmail.com>
Date: Mon, 26 Aug 2024 11:37:50 -0700
Subject: [PATCH 106/344] infra[patch]: Improve speeds for spam detection
 script (#6636)

---
 .github/workflows/spam-comment-filter.yml | 18 +++++++++++++++---
 1 file changed, 15 insertions(+), 3 deletions(-)

diff --git a/.github/workflows/spam-comment-filter.yml b/.github/workflows/spam-comment-filter.yml
index bb2db6677de6..b96f08f5896a 100644
--- a/.github/workflows/spam-comment-filter.yml
+++ b/.github/workflows/spam-comment-filter.yml
@@ -15,15 +15,27 @@ jobs:
         uses: actions/setup-node@v3
         with:
           node-version: 18.x
+      - name: Check issue body against regex
+        id: regex_check
+        run: |
+          REGEX='^download\s+(?:https?:\/\/)?[\w-]+(\.[\w-]+)+[^\s]+\s+password:\s*.+\s+in the installer menu, select\s*.+$'
+          if echo "${{ github.event.comment.body }}" | grep -qiE "$REGEX"; then
+            echo "REGEX_MATCHED=true" >> $GITHUB_OUTPUT
+          else
+            echo "REGEX_MATCHED=false" >> $GITHUB_OUTPUT
+          fi
       - name: Install dependencies
-        run: yarn install --immutable
+        if: steps.regex_check.outputs.REGEX_MATCHED == 'true'
+        run: cd ./libs/langchain-scripts && yarn workspaces focus
       - name: Build scripts
-        run: yarn turbo:command build --filter=@langchain/scripts
+        if: steps.regex_check.outputs.REGEX_MATCHED == 'true'
+        run: cd ./libs/langchain-scripts && yarn build:internal
       - name: Run spam detection script
+        if: steps.regex_check.outputs.REGEX_MATCHED == 'true'
         env:
           SPAM_COMMENT_GITHUB_TOKEN: ${{ secrets.SPAM_COMMENT_GITHUB_TOKEN }}
           COMMENT_JSON: ${{ toJson(github.event.comment) }}
           COMMENT_ID: ${{ github.event.comment.id }}
           REPO_OWNER: ${{ github.repository_owner }}
           REPO_NAME: ${{ github.event.repository.name }}
-        run: yarn workspace @langchain/scripts filter_spam_comment
\ No newline at end of file
+        run: cd ./libs/langchain-scripts && yarn filter_spam_comment
\ No newline at end of file

From 4f3a8d2fd353c8e3ba25b336d44ff1e9b444a0a8 Mon Sep 17 00:00:00 2001
From: Brace Sproul <braceasproul@gmail.com>
Date: Mon, 26 Aug 2024 12:20:18 -0700
Subject: [PATCH 107/344] infra[patch]: Fix comment regex (#6637)

---
 .github/workflows/spam-comment-filter.yml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/.github/workflows/spam-comment-filter.yml b/.github/workflows/spam-comment-filter.yml
index b96f08f5896a..ecb632327ac6 100644
--- a/.github/workflows/spam-comment-filter.yml
+++ b/.github/workflows/spam-comment-filter.yml
@@ -19,7 +19,7 @@ jobs:
         id: regex_check
         run: |
           REGEX='^download\s+(?:https?:\/\/)?[\w-]+(\.[\w-]+)+[^\s]+\s+password:\s*.+\s+in the installer menu, select\s*.+$'
-          if echo "${{ github.event.comment.body }}" | grep -qiE "$REGEX"; then
+          if echo "${{ github.event.comment.body }}" | tr '\n' ' ' | grep -qiP "$REGEX"; then
             echo "REGEX_MATCHED=true" >> $GITHUB_OUTPUT
           else
             echo "REGEX_MATCHED=false" >> $GITHUB_OUTPUT

From c0a19d00e2743943a3785b2bce48365c5080c769 Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Mon, 26 Aug 2024 15:44:37 -0700
Subject: [PATCH 108/344] core[patch]: Make tool call chunk partial JSON
 parsing more strict (#6639)

---
 langchain-core/src/messages/ai.ts | 8 ++++++--
 1 file changed, 6 insertions(+), 2 deletions(-)

diff --git a/langchain-core/src/messages/ai.ts b/langchain-core/src/messages/ai.ts
index 2ba47ff7ff2a..9c542af4e28b 100644
--- a/langchain-core/src/messages/ai.ts
+++ b/langchain-core/src/messages/ai.ts
@@ -188,8 +188,12 @@ export class AIMessageChunk extends BaseMessageChunk {
       for (const toolCallChunk of fields.tool_call_chunks) {
         let parsedArgs = {};
         try {
-          parsedArgs = parsePartialJson(toolCallChunk.args ?? "{}") ?? {};
-          if (typeof parsedArgs !== "object" || Array.isArray(parsedArgs)) {
+          parsedArgs = parsePartialJson(toolCallChunk.args || "{}");
+          if (
+            parsedArgs === null ||
+            typeof parsedArgs !== "object" ||
+            Array.isArray(parsedArgs)
+          ) {
             throw new Error("Malformed tool call chunk args.");
           }
           toolCalls.push({

From 3d8917b558c200f69f9dbd23932023fb5be53d80 Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Mon, 26 Aug 2024 15:44:46 -0700
Subject: [PATCH 109/344] openai[patch]: Properly dedupe system fingerprint
 (#6638)

---
 libs/langchain-openai/src/chat_models.ts | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/libs/langchain-openai/src/chat_models.ts b/libs/langchain-openai/src/chat_models.ts
index 0a93c9d1b138..cedb15777527 100644
--- a/libs/langchain-openai/src/chat_models.ts
+++ b/libs/langchain-openai/src/chat_models.ts
@@ -1255,7 +1255,7 @@ export class ChatOpenAI<
       }
       // eslint-disable-next-line @typescript-eslint/no-explicit-any
       const generationInfo: Record<string, any> = { ...newTokenIndices };
-      if (choice.finish_reason !== undefined) {
+      if (choice.finish_reason != null) {
         generationInfo.finish_reason = choice.finish_reason;
         // Only include system fingerprint in the last chunk for now
         // to avoid concatenation issues

From e3e014cff6cdd29220158d793566dc724595c0c3 Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Mon, 26 Aug 2024 15:54:19 -0700
Subject: [PATCH 110/344] openai[patch]: Release 0.2.8 (#6640)

---
 libs/langchain-openai/package.json | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/libs/langchain-openai/package.json b/libs/langchain-openai/package.json
index b6fd72c247cc..1a7bc2f35490 100644
--- a/libs/langchain-openai/package.json
+++ b/libs/langchain-openai/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/openai",
-  "version": "0.2.7",
+  "version": "0.2.8",
   "description": "OpenAI integrations for LangChain.js",
   "type": "module",
   "engines": {

From 608bbf12ba5bf039d6cc966d40cc2deb2ebcdd87 Mon Sep 17 00:00:00 2001
From: Ben Burns <803016+benjamincburns@users.noreply.github.com>
Date: Tue, 27 Aug 2024 10:59:14 +1200
Subject: [PATCH 111/344] core[patch]: Prevent ConsoleCallbackHandler from
 throwing TypeError when logging (#6612)

Co-authored-by: jacoblee93 <jacoblee93@gmail.com>
---
 langchain-core/src/tracers/console.ts | 21 +++++++++++++++++++--
 1 file changed, 19 insertions(+), 2 deletions(-)

diff --git a/langchain-core/src/tracers/console.ts b/langchain-core/src/tracers/console.ts
index 00ea5e10e4e9..01e0540a8e06 100644
--- a/langchain-core/src/tracers/console.ts
+++ b/langchain-core/src/tracers/console.ts
@@ -14,6 +14,18 @@ function tryJsonStringify(obj: unknown, fallback: string) {
   }
 }
 
+function formatKVMapItem(value: unknown) {
+  if (typeof value === "string") {
+    return value.trim();
+  }
+
+  if (value === null || value === undefined) {
+    return value;
+  }
+
+  return tryJsonStringify(value, value.toString());
+}
+
 function elapsed(run: Run): string {
   if (!run.end_time) return "";
   const elapsed = run.end_time - run.start_time;
@@ -210,7 +222,9 @@ export class ConsoleCallbackHandler extends BaseTracer {
       `${wrap(
         color.green,
         "[tool/start]"
-      )} [${crumbs}] Entering Tool run with input: "${run.inputs.input?.trim()}"`
+      )} [${crumbs}] Entering Tool run with input: "${formatKVMapItem(
+        run.inputs.input
+      )}"`
     );
   }
 
@@ -221,10 +235,13 @@ export class ConsoleCallbackHandler extends BaseTracer {
    */
   onToolEnd(run: Run) {
     const crumbs = this.getBreadcrumbs(run);
+
     console.log(
       `${wrap(color.cyan, "[tool/end]")} [${crumbs}] [${elapsed(
         run
-      )}] Exiting Tool run with output: "${run.outputs?.output?.trim()}"`
+      )}] Exiting Tool run with output: "${formatKVMapItem(
+        run.outputs?.output
+      )}"`
     );
   }
 

From 66749d5f5fd1417d3778587716044b91fd22e105 Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Mon, 26 Aug 2024 16:11:00 -0700
Subject: [PATCH 112/344] core[patch]: Release 0.2.30 (#6641)

---
 langchain-core/package.json | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/langchain-core/package.json b/langchain-core/package.json
index d59b41eccb20..cc1de8205949 100644
--- a/langchain-core/package.json
+++ b/langchain-core/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/core",
-  "version": "0.2.29",
+  "version": "0.2.30",
   "description": "Core LangChain.js abstractions and schemas",
   "type": "module",
   "engines": {

From 5e9323642ac9dd9308ecab0cce980d9451fb2b1a Mon Sep 17 00:00:00 2001
From: Adnan Khan <AdnaneKhan@users.noreply.github.com>
Date: Tue, 27 Aug 2024 19:16:53 -0400
Subject: [PATCH 113/344] infra[patch]: Sanitize body in spam filter (#6642)

---
 .github/workflows/spam-comment-filter.yml | 6 ++++--
 1 file changed, 4 insertions(+), 2 deletions(-)

diff --git a/.github/workflows/spam-comment-filter.yml b/.github/workflows/spam-comment-filter.yml
index ecb632327ac6..4f974e6e9941 100644
--- a/.github/workflows/spam-comment-filter.yml
+++ b/.github/workflows/spam-comment-filter.yml
@@ -17,9 +17,11 @@ jobs:
           node-version: 18.x
       - name: Check issue body against regex
         id: regex_check
+        env:
+          COMMENT_BODY: ${{ github.event.comment.body }}
         run: |
           REGEX='^download\s+(?:https?:\/\/)?[\w-]+(\.[\w-]+)+[^\s]+\s+password:\s*.+\s+in the installer menu, select\s*.+$'
-          if echo "${{ github.event.comment.body }}" | tr '\n' ' ' | grep -qiP "$REGEX"; then
+          if echo "$COMMENT_BODY" | tr '\n' ' ' | grep -qiP "$REGEX"; then
             echo "REGEX_MATCHED=true" >> $GITHUB_OUTPUT
           else
             echo "REGEX_MATCHED=false" >> $GITHUB_OUTPUT
@@ -38,4 +40,4 @@ jobs:
           COMMENT_ID: ${{ github.event.comment.id }}
           REPO_OWNER: ${{ github.repository_owner }}
           REPO_NAME: ${{ github.event.repository.name }}
-        run: cd ./libs/langchain-scripts && yarn filter_spam_comment
\ No newline at end of file
+        run: cd ./libs/langchain-scripts && yarn filter_spam_comment

From b9193b2feb0a3397c641380940d515cf56cda0c8 Mon Sep 17 00:00:00 2001
From: Brace Sproul <braceasproul@gmail.com>
Date: Tue, 27 Aug 2024 17:40:53 -0700
Subject: [PATCH 114/344] docs[patch]: Update ParentDocument docs to use byte
 store (#6647)

---
 examples/src/retrievers/parent_document_retriever.ts       | 7 ++++---
 .../retrievers/parent_document_retriever_chunk_header.ts   | 4 ++--
 .../src/retrievers/parent_document_retriever_rerank.ts     | 4 ++--
 .../parent_document_retriever_score_threshold.ts           | 5 +++--
 4 files changed, 11 insertions(+), 9 deletions(-)

diff --git a/examples/src/retrievers/parent_document_retriever.ts b/examples/src/retrievers/parent_document_retriever.ts
index 7112ce797cff..530b9b5a8cb7 100644
--- a/examples/src/retrievers/parent_document_retriever.ts
+++ b/examples/src/retrievers/parent_document_retriever.ts
@@ -1,15 +1,16 @@
 import { OpenAIEmbeddings } from "@langchain/openai";
 import { MemoryVectorStore } from "langchain/vectorstores/memory";
-import { InMemoryStore } from "@langchain/core/stores";
 import { ParentDocumentRetriever } from "langchain/retrievers/parent_document";
 import { RecursiveCharacterTextSplitter } from "@langchain/textsplitters";
 import { TextLoader } from "langchain/document_loaders/fs/text";
+import { InMemoryStore } from "@langchain/core/stores";
 
 const vectorstore = new MemoryVectorStore(new OpenAIEmbeddings());
-const docstore = new InMemoryStore();
+const byteStore = new InMemoryStore<Uint8Array>();
+
 const retriever = new ParentDocumentRetriever({
   vectorstore,
-  docstore,
+  byteStore,
   // Optional, not required if you're already passing in split documents
   parentSplitter: new RecursiveCharacterTextSplitter({
     chunkOverlap: 0,
diff --git a/examples/src/retrievers/parent_document_retriever_chunk_header.ts b/examples/src/retrievers/parent_document_retriever_chunk_header.ts
index 9dbdbb01ddc7..443aed45712e 100644
--- a/examples/src/retrievers/parent_document_retriever_chunk_header.ts
+++ b/examples/src/retrievers/parent_document_retriever_chunk_header.ts
@@ -22,11 +22,11 @@ const pamChunkHeaderOptions = {
 };
 
 const vectorstore = await HNSWLib.fromDocuments([], new OpenAIEmbeddings());
-const docstore = new InMemoryStore();
+const byteStore = new InMemoryStore<Uint8Array>();
 
 const retriever = new ParentDocumentRetriever({
   vectorstore,
-  docstore,
+  byteStore,
   // Very small chunks for demo purposes.
   // Use a bigger chunk size for serious use-cases.
   childSplitter: new RecursiveCharacterTextSplitter({
diff --git a/examples/src/retrievers/parent_document_retriever_rerank.ts b/examples/src/retrievers/parent_document_retriever_rerank.ts
index f0918b602a67..e6c008d450ad 100644
--- a/examples/src/retrievers/parent_document_retriever_rerank.ts
+++ b/examples/src/retrievers/parent_document_retriever_rerank.ts
@@ -44,11 +44,11 @@ const jimDocs = await splitter.createDocuments([`Jim favorite color is blue.`]);
 const pamDocs = await splitter.createDocuments([`Pam favorite color is red.`]);
 
 const vectorstore = await HNSWLib.fromDocuments([], new OpenAIEmbeddings());
-const docstore = new InMemoryStore();
+const byteStore = new InMemoryStore<Uint8Array>();
 
 const retriever = new ParentDocumentRetriever({
   vectorstore,
-  docstore,
+  byteStore,
   // Very small chunks for demo purposes.
   // Use a bigger chunk size for serious use-cases.
   childSplitter: new RecursiveCharacterTextSplitter({
diff --git a/examples/src/retrievers/parent_document_retriever_score_threshold.ts b/examples/src/retrievers/parent_document_retriever_score_threshold.ts
index c5ad4aeda050..aa2c616e8a15 100644
--- a/examples/src/retrievers/parent_document_retriever_score_threshold.ts
+++ b/examples/src/retrievers/parent_document_retriever_score_threshold.ts
@@ -7,7 +7,8 @@ import { TextLoader } from "langchain/document_loaders/fs/text";
 import { ScoreThresholdRetriever } from "langchain/retrievers/score_threshold";
 
 const vectorstore = new MemoryVectorStore(new OpenAIEmbeddings());
-const docstore = new InMemoryStore();
+const byteStore = new InMemoryStore<Uint8Array>();
+
 const childDocumentRetriever = ScoreThresholdRetriever.fromVectorStore(
   vectorstore,
   {
@@ -17,7 +18,7 @@ const childDocumentRetriever = ScoreThresholdRetriever.fromVectorStore(
 );
 const retriever = new ParentDocumentRetriever({
   vectorstore,
-  docstore,
+  byteStore,
   childDocumentRetriever,
   // Optional, not required if you're already passing in split documents
   parentSplitter: new RecursiveCharacterTextSplitter({

From bf6e7833b94649b03af67a4d1f0f75041897120a Mon Sep 17 00:00:00 2001
From: Tim Susa <timmsusa@googlemail.com>
Date: Wed, 28 Aug 2024 17:56:32 +0200
Subject: [PATCH 115/344] docs[patch]: Update migrate_agent.ipynb -> was
 refering to the wrong doc link (#6651)

---
 docs/core_docs/docs/how_to/migrate_agent.ipynb | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/core_docs/docs/how_to/migrate_agent.ipynb b/docs/core_docs/docs/how_to/migrate_agent.ipynb
index 32468784478a..e4cb32b8ad30 100644
--- a/docs/core_docs/docs/how_to/migrate_agent.ipynb
+++ b/docs/core_docs/docs/how_to/migrate_agent.ipynb
@@ -1643,7 +1643,7 @@
     "\n",
     "You've now learned how to migrate your LangChain agent executors to LangGraph.\n",
     "\n",
-    "Next, check out other [LangGraph how-to guides](https://langchain-ai.github.io/langgraph/how-tos/)."
+    "Next, check out other [LangGraph how-to guides](https://langchain-ai.github.io/langgraphjs/how-tos/)."
    ]
   },
   {

From dae691c0c717b61feae42284b01b1adf57a93dd7 Mon Sep 17 00:00:00 2001
From: Kevin Simons <kevin.b.simons@gmail.com>
Date: Wed, 28 Aug 2024 18:33:28 +0200
Subject: [PATCH 116/344] Fix typo in agents tutorial (#6649)

---
 docs/core_docs/docs/tutorials/agents.mdx | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/core_docs/docs/tutorials/agents.mdx b/docs/core_docs/docs/tutorials/agents.mdx
index 6176affc1a07..201339008d9d 100644
--- a/docs/core_docs/docs/tutorials/agents.mdx
+++ b/docs/core_docs/docs/tutorials/agents.mdx
@@ -16,7 +16,7 @@ This guide assumes familiarity with the following concepts:
 
 By themselves, language models can't take actions - they just output text.
 A big use case for LangChain is creating **agents**.
-Agents are systems that use an LLM as a reasoning enginer to determine which actions to take and what the inputs to those actions should be.
+Agents are systems that use an LLM as a reasoning engine to determine which actions to take and what the inputs to those actions should be.
 The results of those actions can then be fed back into the agent and it determine whether more actions are needed, or whether it is okay to finish.
 
 In this tutorial we will build an agent that can interact with multiple different tools: one being a local database, the other being a search engine. You will be able to ask this agent questions, watch it call tools, and have conversations with it.

From 0c003d8d602cf7ac396053ac59b22deb2b95f1bb Mon Sep 17 00:00:00 2001
From: David Duong <david@duong.cz>
Date: Wed, 28 Aug 2024 20:24:00 +0200
Subject: [PATCH 117/344] feat(core): always provide message ID inferred from
 run ID if not present while streaming (#6646)

---
 .../src/language_models/chat_models.ts        | 12 +++
 langchain-core/src/messages/base.ts           | 10 ++
 .../runnables/tests/runnable_history.test.ts  | 23 ++++-
 .../tests/runnable_stream_events.test.ts      | 22 +++--
 .../tests/runnable_stream_events_v2.test.ts   | 97 +++++++++++++------
 langchain-core/src/tracers/event_stream.ts    |  2 +-
 langchain-core/src/tracers/log_stream.ts      |  5 +-
 7 files changed, 124 insertions(+), 47 deletions(-)

diff --git a/langchain-core/src/language_models/chat_models.ts b/langchain-core/src/language_models/chat_models.ts
index 9239ff52c03b..a80776ff0ba3 100644
--- a/langchain-core/src/language_models/chat_models.ts
+++ b/langchain-core/src/language_models/chat_models.ts
@@ -264,6 +264,10 @@ export abstract class BaseChatModel<
           callOptions,
           runManagers?.[0]
         )) {
+          if (chunk.message.id == null) {
+            const runId = runManagers?.at(0)?.runId;
+            if (runId != null) chunk.message._updateId(`run-${runId}`);
+          }
           chunk.message.response_metadata = {
             ...chunk.generationInfo,
             ...chunk.message.response_metadata,
@@ -362,6 +366,10 @@ export abstract class BaseChatModel<
         );
         let aggregated;
         for await (const chunk of stream) {
+          if (chunk.message.id == null) {
+            const runId = runManagers?.at(0)?.runId;
+            if (runId != null) chunk.message._updateId(`run-${runId}`);
+          }
           if (aggregated === undefined) {
             aggregated = chunk;
           } else {
@@ -397,6 +405,10 @@ export abstract class BaseChatModel<
           if (pResult.status === "fulfilled") {
             const result = pResult.value;
             for (const generation of result.generations) {
+              if (generation.message.id == null) {
+                const runId = runManagers?.at(0)?.runId;
+                if (runId != null) generation.message._updateId(`run-${runId}`);
+              }
               generation.message.response_metadata = {
                 ...generation.generationInfo,
                 ...generation.message.response_metadata,
diff --git a/langchain-core/src/messages/base.ts b/langchain-core/src/messages/base.ts
index 8b74c7f158e1..639fcf226025 100644
--- a/langchain-core/src/messages/base.ts
+++ b/langchain-core/src/messages/base.ts
@@ -289,6 +289,16 @@ export abstract class BaseMessage
     };
   }
 
+  // this private method is used to update the ID for the runtime
+  // value as well as in lc_kwargs for serialisation
+  _updateId(value: string | undefined) {
+    this.id = value;
+
+    // lc_attributes wouldn't work here, because jest compares the
+    // whole object
+    this.lc_kwargs.id = value;
+  }
+
   get [Symbol.toStringTag]() {
     // eslint-disable-next-line @typescript-eslint/no-explicit-any
     return (this.constructor as any).lc_name();
diff --git a/langchain-core/src/runnables/tests/runnable_history.test.ts b/langchain-core/src/runnables/tests/runnable_history.test.ts
index 4efe19047e7a..0614f35c71ce 100644
--- a/langchain-core/src/runnables/tests/runnable_history.test.ts
+++ b/langchain-core/src/runnables/tests/runnable_history.test.ts
@@ -22,6 +22,8 @@ import {
 import { ChatPromptTemplate, MessagesPlaceholder } from "../../prompts/chat.js";
 import { StringOutputParser } from "../../output_parsers/string.js";
 
+const anyString = expect.any(String) as unknown as string;
+
 // For `BaseChatMessageHistory`
 async function getGetSessionHistory(): Promise<
   (sessionId: string) => Promise<BaseChatMessageHistory>
@@ -107,9 +109,15 @@ test("Runnable with message history with a chat model", async () => {
   const sessionHistory = await getMessageHistory("2");
   expect(await sessionHistory.getMessages()).toEqual([
     new HumanMessage("hello"),
-    new AIMessage("Hello world!"),
+    new AIMessage({
+      id: anyString,
+      content: "Hello world!",
+    }),
     new HumanMessage("good bye"),
-    new AIMessageChunk("Hello world!"),
+    new AIMessageChunk({
+      id: anyString,
+      content: "Hello world!",
+    }),
   ]);
 });
 
@@ -129,6 +137,7 @@ test("Runnable with message history with a messages in, messages out chain", asy
     config: {},
     getMessageHistory,
   });
+
   const config: RunnableConfig = { configurable: { sessionId: "2" } };
   const output = await withHistory.invoke([new HumanMessage("hello")], config);
   expect(output.content).toBe("So long and thanks for the fish!!");
@@ -147,9 +156,15 @@ test("Runnable with message history with a messages in, messages out chain", asy
   const sessionHistory = await getMessageHistory("2");
   expect(await sessionHistory.getMessages()).toEqual([
     new HumanMessage("hello"),
-    new AIMessage("So long and thanks for the fish!!"),
+    new AIMessage({
+      id: anyString,
+      content: "So long and thanks for the fish!!",
+    }),
     new HumanMessage("good bye"),
-    new AIMessageChunk("So long and thanks for the fish!!"),
+    new AIMessageChunk({
+      id: anyString,
+      content: "So long and thanks for the fish!!",
+    }),
   ]);
 });
 
diff --git a/langchain-core/src/runnables/tests/runnable_stream_events.test.ts b/langchain-core/src/runnables/tests/runnable_stream_events.test.ts
index e9ab07a36fae..7f6bce337ce8 100644
--- a/langchain-core/src/runnables/tests/runnable_stream_events.test.ts
+++ b/langchain-core/src/runnables/tests/runnable_stream_events.test.ts
@@ -30,6 +30,8 @@ function reverse(s: string) {
   return s.split("").reverse().join("");
 }
 
+const anyString = expect.any(String) as unknown as string;
+
 const originalCallbackValue = process.env.LANGCHAIN_CALLBACKS_BACKGROUND;
 
 afterEach(() => {
@@ -733,7 +735,7 @@ test("Runnable streamEvents method with chat model chain", async () => {
         ls_stop: undefined,
       },
       name: "my_model",
-      data: { chunk: new AIMessageChunk("R") },
+      data: { chunk: new AIMessageChunk({ id: anyString, content: "R" }) },
     },
     {
       event: "on_chain_stream",
@@ -743,7 +745,7 @@ test("Runnable streamEvents method with chat model chain", async () => {
         foo: "bar",
       },
       name: "my_chain",
-      data: { chunk: new AIMessageChunk("R") },
+      data: { chunk: new AIMessageChunk({ id: anyString, content: "R" }) },
     },
     {
       event: "on_llm_stream",
@@ -756,7 +758,7 @@ test("Runnable streamEvents method with chat model chain", async () => {
         ls_stop: undefined,
       },
       name: "my_model",
-      data: { chunk: new AIMessageChunk("O") },
+      data: { chunk: new AIMessageChunk({ id: anyString, content: "O" }) },
     },
     {
       event: "on_chain_stream",
@@ -766,7 +768,7 @@ test("Runnable streamEvents method with chat model chain", async () => {
         foo: "bar",
       },
       name: "my_chain",
-      data: { chunk: new AIMessageChunk("O") },
+      data: { chunk: new AIMessageChunk({ id: anyString, content: "O" }) },
     },
     {
       event: "on_llm_stream",
@@ -779,7 +781,7 @@ test("Runnable streamEvents method with chat model chain", async () => {
         ls_stop: undefined,
       },
       name: "my_model",
-      data: { chunk: new AIMessageChunk("A") },
+      data: { chunk: new AIMessageChunk({ id: anyString, content: "A" }) },
     },
     {
       event: "on_chain_stream",
@@ -789,7 +791,7 @@ test("Runnable streamEvents method with chat model chain", async () => {
         foo: "bar",
       },
       name: "my_chain",
-      data: { chunk: new AIMessageChunk("A") },
+      data: { chunk: new AIMessageChunk({ id: anyString, content: "A" }) },
     },
     {
       event: "on_llm_stream",
@@ -802,7 +804,7 @@ test("Runnable streamEvents method with chat model chain", async () => {
         ls_stop: undefined,
       },
       name: "my_model",
-      data: { chunk: new AIMessageChunk("R") },
+      data: { chunk: new AIMessageChunk({ id: anyString, content: "R" }) },
     },
     {
       event: "on_chain_stream",
@@ -812,7 +814,7 @@ test("Runnable streamEvents method with chat model chain", async () => {
         foo: "bar",
       },
       name: "my_chain",
-      data: { chunk: new AIMessageChunk("R") },
+      data: { chunk: new AIMessageChunk({ id: anyString, content: "R" }) },
     },
     {
       event: "on_llm_end",
@@ -836,7 +838,7 @@ test("Runnable streamEvents method with chat model chain", async () => {
             [
               new ChatGenerationChunk({
                 generationInfo: {},
-                message: new AIMessageChunk("ROAR"),
+                message: new AIMessageChunk({ id: anyString, content: "ROAR" }),
                 text: "ROAR",
               }),
             ],
@@ -853,7 +855,7 @@ test("Runnable streamEvents method with chat model chain", async () => {
         foo: "bar",
       },
       data: {
-        output: new AIMessageChunk("ROAR"),
+        output: new AIMessageChunk({ id: anyString, content: "ROAR" }),
       },
     },
   ]);
diff --git a/langchain-core/src/runnables/tests/runnable_stream_events_v2.test.ts b/langchain-core/src/runnables/tests/runnable_stream_events_v2.test.ts
index d1fc1ea7fc65..1702d226aa4b 100644
--- a/langchain-core/src/runnables/tests/runnable_stream_events_v2.test.ts
+++ b/langchain-core/src/runnables/tests/runnable_stream_events_v2.test.ts
@@ -90,6 +90,10 @@ test("Runnable streamEvents method on a chat model", async () => {
   for await (const event of eventStream) {
     events.push(event);
   }
+
+  // used here to avoid casting every ID
+  const anyString = expect.any(String) as unknown as string;
+
   expect(events).toMatchObject([
     {
       data: { input: "hello" },
@@ -100,7 +104,7 @@ test("Runnable streamEvents method on a chat model", async () => {
       tags: [],
     },
     {
-      data: { chunk: new AIMessageChunk({ content: "a" }) },
+      data: { chunk: new AIMessageChunk({ id: anyString, content: "a" }) },
       event: "on_chat_model_stream",
       name: "FakeListChatModel",
       metadata: expect.any(Object),
@@ -108,7 +112,7 @@ test("Runnable streamEvents method on a chat model", async () => {
       tags: [],
     },
     {
-      data: { chunk: new AIMessageChunk({ content: "b" }) },
+      data: { chunk: new AIMessageChunk({ id: anyString, content: "b" }) },
       event: "on_chat_model_stream",
       name: "FakeListChatModel",
       metadata: expect.any(Object),
@@ -116,7 +120,7 @@ test("Runnable streamEvents method on a chat model", async () => {
       tags: [],
     },
     {
-      data: { chunk: new AIMessageChunk({ content: "c" }) },
+      data: { chunk: new AIMessageChunk({ id: anyString, content: "c" }) },
       event: "on_chat_model_stream",
       name: "FakeListChatModel",
       metadata: expect.any(Object),
@@ -124,7 +128,7 @@ test("Runnable streamEvents method on a chat model", async () => {
       tags: [],
     },
     {
-      data: { output: new AIMessageChunk({ content: "abc" }) },
+      data: { output: new AIMessageChunk({ id: anyString, content: "abc" }) },
       event: "on_chat_model_end",
       name: "FakeListChatModel",
       metadata: expect.any(Object),
@@ -748,6 +752,9 @@ test("Runnable streamEvents method with chat model chain", async () => {
   for await (const event of eventStream) {
     events.push(event);
   }
+
+  // used here to avoid casting every ID
+  const anyString = expect.any(String) as unknown as string;
   expect(events).toEqual([
     {
       run_id: expect.any(String),
@@ -816,7 +823,7 @@ test("Runnable streamEvents method with chat model chain", async () => {
         ls_stop: undefined,
       },
       name: "my_model",
-      data: { chunk: new AIMessageChunk("R") },
+      data: { chunk: new AIMessageChunk({ content: "R", id: anyString }) },
     },
     {
       event: "on_chain_stream",
@@ -826,7 +833,7 @@ test("Runnable streamEvents method with chat model chain", async () => {
         foo: "bar",
       },
       name: "my_chain",
-      data: { chunk: new AIMessageChunk("R") },
+      data: { chunk: new AIMessageChunk({ content: "R", id: anyString }) },
     },
     {
       event: "on_chat_model_stream",
@@ -839,7 +846,7 @@ test("Runnable streamEvents method with chat model chain", async () => {
         ls_stop: undefined,
       },
       name: "my_model",
-      data: { chunk: new AIMessageChunk("O") },
+      data: { chunk: new AIMessageChunk({ content: "O", id: anyString }) },
     },
     {
       event: "on_chain_stream",
@@ -849,7 +856,7 @@ test("Runnable streamEvents method with chat model chain", async () => {
         foo: "bar",
       },
       name: "my_chain",
-      data: { chunk: new AIMessageChunk("O") },
+      data: { chunk: new AIMessageChunk({ content: "O", id: anyString }) },
     },
     {
       event: "on_chat_model_stream",
@@ -862,7 +869,7 @@ test("Runnable streamEvents method with chat model chain", async () => {
         ls_stop: undefined,
       },
       name: "my_model",
-      data: { chunk: new AIMessageChunk("A") },
+      data: { chunk: new AIMessageChunk({ content: "A", id: anyString }) },
     },
     {
       event: "on_chain_stream",
@@ -872,7 +879,7 @@ test("Runnable streamEvents method with chat model chain", async () => {
         foo: "bar",
       },
       name: "my_chain",
-      data: { chunk: new AIMessageChunk("A") },
+      data: { chunk: new AIMessageChunk({ content: "A", id: anyString }) },
     },
     {
       event: "on_chat_model_stream",
@@ -885,7 +892,7 @@ test("Runnable streamEvents method with chat model chain", async () => {
         ls_stop: undefined,
       },
       name: "my_model",
-      data: { chunk: new AIMessageChunk("R") },
+      data: { chunk: new AIMessageChunk({ content: "R", id: anyString }) },
     },
     {
       event: "on_chain_stream",
@@ -895,7 +902,7 @@ test("Runnable streamEvents method with chat model chain", async () => {
         foo: "bar",
       },
       name: "my_chain",
-      data: { chunk: new AIMessageChunk("R") },
+      data: { chunk: new AIMessageChunk({ content: "R", id: anyString }) },
     },
     {
       event: "on_chat_model_end",
@@ -914,7 +921,7 @@ test("Runnable streamEvents method with chat model chain", async () => {
             [new SystemMessage("You are Godzilla"), new HumanMessage("hello")],
           ],
         },
-        output: new AIMessageChunk("ROAR"),
+        output: new AIMessageChunk({ content: "ROAR", id: anyString }),
       },
     },
     {
@@ -925,9 +932,7 @@ test("Runnable streamEvents method with chat model chain", async () => {
       metadata: {
         foo: "bar",
       },
-      data: {
-        output: new AIMessageChunk("ROAR"),
-      },
+      data: { output: new AIMessageChunk({ content: "ROAR", id: anyString }) },
     },
   ]);
 });
@@ -965,6 +970,10 @@ test("Chat model that supports streaming, but is invoked, should still emit on_s
   for await (const event of eventStream) {
     events.push(event);
   }
+
+  // used here to avoid casting every ID
+  const anyString = expect.any(String) as unknown as string;
+
   expect(events).toEqual([
     {
       run_id: expect.any(String),
@@ -1043,7 +1052,7 @@ test("Chat model that supports streaming, but is invoked, should still emit on_s
         ls_stop: undefined,
       },
       name: "my_model",
-      data: { chunk: new AIMessageChunk("R") },
+      data: { chunk: new AIMessageChunk({ id: anyString, content: "R" }) },
     },
     {
       event: "on_chat_model_stream",
@@ -1056,7 +1065,7 @@ test("Chat model that supports streaming, but is invoked, should still emit on_s
         ls_stop: undefined,
       },
       name: "my_model",
-      data: { chunk: new AIMessageChunk("O") },
+      data: { chunk: new AIMessageChunk({ id: anyString, content: "O" }) },
     },
     {
       event: "on_chat_model_stream",
@@ -1069,7 +1078,7 @@ test("Chat model that supports streaming, but is invoked, should still emit on_s
         ls_stop: undefined,
       },
       name: "my_model",
-      data: { chunk: new AIMessageChunk("A") },
+      data: { chunk: new AIMessageChunk({ id: anyString, content: "A" }) },
     },
     {
       event: "on_chat_model_stream",
@@ -1082,7 +1091,7 @@ test("Chat model that supports streaming, but is invoked, should still emit on_s
         ls_stop: undefined,
       },
       name: "my_model",
-      data: { chunk: new AIMessageChunk("R") },
+      data: { chunk: new AIMessageChunk({ id: anyString, content: "R" }) },
     },
     {
       event: "on_chat_model_end",
@@ -1101,7 +1110,7 @@ test("Chat model that supports streaming, but is invoked, should still emit on_s
             [new SystemMessage("You are Godzilla"), new HumanMessage("hello")],
           ],
         },
-        output: new AIMessageChunk("ROAR"),
+        output: new AIMessageChunk({ id: anyString, content: "ROAR" }),
       },
     },
     {
@@ -1112,7 +1121,7 @@ test("Chat model that supports streaming, but is invoked, should still emit on_s
         foo: "bar",
       },
       name: "RunnableLambda",
-      data: { chunk: new AIMessageChunk("ROAR") },
+      data: { chunk: new AIMessageChunk({ id: anyString, content: "ROAR" }) },
     },
     {
       event: "on_chain_stream",
@@ -1122,7 +1131,7 @@ test("Chat model that supports streaming, but is invoked, should still emit on_s
         foo: "bar",
       },
       name: "my_chain",
-      data: { chunk: new AIMessageChunk("ROAR") },
+      data: { chunk: new AIMessageChunk({ id: anyString, content: "ROAR" }) },
     },
     {
       event: "on_chain_end",
@@ -1134,7 +1143,7 @@ test("Chat model that supports streaming, but is invoked, should still emit on_s
       },
       data: {
         input: await template.invoke({ question: "hello" }),
-        output: new AIMessageChunk("ROAR"),
+        output: new AIMessageChunk({ id: anyString, content: "ROAR" }),
       },
     },
     {
@@ -1146,7 +1155,7 @@ test("Chat model that supports streaming, but is invoked, should still emit on_s
         foo: "bar",
       },
       data: {
-        output: new AIMessageChunk("ROAR"),
+        output: new AIMessageChunk({ id: anyString, content: "ROAR" }),
       },
     },
   ]);
@@ -1183,6 +1192,8 @@ test("Chat model that doesn't support streaming, but is invoked, should emit one
   for await (const event of eventStream) {
     events.push(event);
   }
+
+  const anyString = expect.any(String) as unknown as string;
   expect(events).toEqual([
     {
       run_id: expect.any(String),
@@ -1261,7 +1272,12 @@ test("Chat model that doesn't support streaming, but is invoked, should emit one
         ls_stop: undefined,
       },
       name: "my_model",
-      data: { chunk: new AIMessageChunk("You are Godzilla\nhello") },
+      data: {
+        chunk: new AIMessageChunk({
+          id: anyString,
+          content: "You are Godzilla\nhello",
+        }),
+      },
     },
     {
       event: "on_chat_model_end",
@@ -1280,7 +1296,10 @@ test("Chat model that doesn't support streaming, but is invoked, should emit one
             [new SystemMessage("You are Godzilla"), new HumanMessage("hello")],
           ],
         },
-        output: new AIMessage("You are Godzilla\nhello"),
+        output: new AIMessage({
+          id: anyString,
+          content: "You are Godzilla\nhello",
+        }),
       },
     },
     {
@@ -1291,7 +1310,12 @@ test("Chat model that doesn't support streaming, but is invoked, should emit one
         foo: "bar",
       },
       name: "RunnableLambda",
-      data: { chunk: new AIMessage("You are Godzilla\nhello") },
+      data: {
+        chunk: new AIMessage({
+          id: anyString,
+          content: "You are Godzilla\nhello",
+        }),
+      },
     },
     {
       event: "on_chain_stream",
@@ -1301,7 +1325,12 @@ test("Chat model that doesn't support streaming, but is invoked, should emit one
         foo: "bar",
       },
       name: "my_chain",
-      data: { chunk: new AIMessage("You are Godzilla\nhello") },
+      data: {
+        chunk: new AIMessage({
+          id: anyString,
+          content: "You are Godzilla\nhello",
+        }),
+      },
     },
     {
       event: "on_chain_end",
@@ -1313,7 +1342,10 @@ test("Chat model that doesn't support streaming, but is invoked, should emit one
       },
       data: {
         input: await template.invoke({ question: "hello" }),
-        output: new AIMessage("You are Godzilla\nhello"),
+        output: new AIMessage({
+          id: anyString,
+          content: "You are Godzilla\nhello",
+        }),
       },
     },
     {
@@ -1325,7 +1357,10 @@ test("Chat model that doesn't support streaming, but is invoked, should emit one
         foo: "bar",
       },
       data: {
-        output: new AIMessage("You are Godzilla\nhello"),
+        output: new AIMessage({
+          id: anyString,
+          content: "You are Godzilla\nhello",
+        }),
       },
     },
   ]);
diff --git a/langchain-core/src/tracers/event_stream.ts b/langchain-core/src/tracers/event_stream.ts
index cf9c148c5275..015faa20e5c8 100644
--- a/langchain-core/src/tracers/event_stream.ts
+++ b/langchain-core/src/tracers/event_stream.ts
@@ -370,7 +370,7 @@ export class EventStreamCallbackHandler extends BaseTracer {
     if (runInfo.runType === "chat_model") {
       eventName = "on_chat_model_stream";
       if (kwargs?.chunk === undefined) {
-        chunk = new AIMessageChunk({ content: token });
+        chunk = new AIMessageChunk({ content: token, id: `run-${run.id}` });
       } else {
         chunk = kwargs.chunk.message;
       }
diff --git a/langchain-core/src/tracers/log_stream.ts b/langchain-core/src/tracers/log_stream.ts
index 004a682dec1b..13b97349b04b 100644
--- a/langchain-core/src/tracers/log_stream.ts
+++ b/langchain-core/src/tracers/log_stream.ts
@@ -457,7 +457,10 @@ export class LogStreamCallbackHandler extends BaseTracer {
       if (isChatGenerationChunk(kwargs?.chunk)) {
         streamedOutputValue = kwargs?.chunk;
       } else {
-        streamedOutputValue = new AIMessageChunk(token);
+        streamedOutputValue = new AIMessageChunk({
+          id: `run-${run.id}`,
+          content: token,
+        });
       }
     } else {
       streamedOutputValue = token;

From 8f4ba8da702a10456a04889e607f27b31f8456a6 Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Wed, 28 Aug 2024 14:05:48 -0700
Subject: [PATCH 118/344] core[patch]: Treat OpenAI message format as a message
 like (#6654)

---
 .../language_models/tests/chat_models.test.ts | 58 +++++++++++++++++
 langchain-core/src/messages/base.ts           | 13 ++++
 .../src/messages/tests/base_message.test.ts   | 62 +++++++++++++++++++
 langchain-core/src/messages/utils.ts          | 48 +++++++++++++-
 4 files changed, 178 insertions(+), 3 deletions(-)

diff --git a/langchain-core/src/language_models/tests/chat_models.test.ts b/langchain-core/src/language_models/tests/chat_models.test.ts
index 940cc50802b2..70ff187243e8 100644
--- a/langchain-core/src/language_models/tests/chat_models.test.ts
+++ b/langchain-core/src/language_models/tests/chat_models.test.ts
@@ -27,6 +27,64 @@ test("Test ChatModel accepts object shorthand for messages", async () => {
   expect(response.content).toEqual("Hello there!");
 });
 
+test("Test ChatModel accepts object with role for messages", async () => {
+  const model = new FakeChatModel({});
+  const response = await model.invoke([
+    {
+      role: "human",
+      content: "Hello there!!",
+      example: true,
+    },
+  ]);
+  expect(response.content).toEqual("Hello there!!");
+});
+
+test("Test ChatModel accepts several messages as objects with role", async () => {
+  const model = new FakeChatModel({});
+  const response = await model.invoke([
+    {
+      role: "system",
+      content: "You are an assistant.",
+    },
+    {
+      role: "human",
+      content: [{ type: "text", text: "What is the weather in SF?" }],
+      example: true,
+    },
+    {
+      role: "assistant",
+      content: "",
+      tool_calls: [
+        {
+          id: "call_123",
+          function: {
+            name: "get_weather",
+            arguments: JSON.stringify({ location: "sf" }),
+          },
+          type: "function",
+        },
+      ],
+    },
+    {
+      role: "tool",
+      content: "Pretty nice right now!",
+      tool_call_id: "call_123",
+    },
+  ]);
+  expect(response.content).toEqual(
+    [
+      "You are an assistant.",
+      JSON.stringify(
+        [{ type: "text", text: "What is the weather in SF?" }],
+        null,
+        2
+      ),
+      "",
+      "Pretty nice right now!",
+    ].join("\n")
+  );
+});
+
 test("Test ChatModel uses callbacks", async () => {
   const model = new FakeChatModel({});
   let acc = "";
diff --git a/langchain-core/src/messages/base.ts b/langchain-core/src/messages/base.ts
index 639fcf226025..7f46ce761221 100644
--- a/langchain-core/src/messages/base.ts
+++ b/langchain-core/src/messages/base.ts
@@ -450,12 +450,25 @@ export abstract class BaseMessageChunk extends BaseMessage {
   abstract concat(chunk: BaseMessageChunk): BaseMessageChunk;
 }
 
+export type MessageFieldWithRole = {
+  role: StringWithAutocomplete<"user" | "assistant" | MessageType>;
+  content: MessageContent;
+  name?: string;
+} & Record<string, unknown>;
+
+export function _isMessageFieldWithRole(
+  x: BaseMessageLike
+): x is MessageFieldWithRole {
+  return typeof (x as MessageFieldWithRole).role === "string";
+}
+
 export type BaseMessageLike =
   | BaseMessage
   | ({
       type: MessageType | "user" | "assistant" | "placeholder";
     } & BaseMessageFields &
       Record<string, unknown>)
+  | MessageFieldWithRole
   | [
       StringWithAutocomplete<
         MessageType | "user" | "assistant" | "placeholder"
diff --git a/langchain-core/src/messages/tests/base_message.test.ts b/langchain-core/src/messages/tests/base_message.test.ts
index cc6926a1e6b6..0e6883c89dc0 100644
--- a/langchain-core/src/messages/tests/base_message.test.ts
+++ b/langchain-core/src/messages/tests/base_message.test.ts
@@ -6,6 +6,8 @@ import {
   ToolMessage,
   ToolMessageChunk,
   AIMessageChunk,
+  coerceMessageLikeToMessage,
+  SystemMessage,
 } from "../index.js";
 import { load } from "../../load/index.js";
 
@@ -334,3 +336,63 @@ describe("Complex AIMessageChunk concat", () => {
     );
   });
 });
+
+describe("Message like coercion", () => {
+  it("Should convert OpenAI format messages", async () => {
+    const messages = [
+      {
+        id: "foobar",
+        role: "system",
+        content: "6",
+      },
+      {
+        role: "user",
+        content: [{ type: "image_url", image_url: { url: "7.1" } }],
+      },
+      {
+        role: "assistant",
+        content: [{ type: "text", text: "8.1" }],
+        tool_calls: [
+          {
+            id: "8.5",
+            function: {
+              name: "8.4",
+              arguments: JSON.stringify({ "8.2": "8.3" }),
+            },
+            type: "function",
+          },
+        ],
+      },
+      {
+        role: "tool",
+        content: "10.2",
+        tool_call_id: "10.2",
+      },
+    ].map(coerceMessageLikeToMessage);
+    expect(messages).toEqual([
+      new SystemMessage({
+        id: "foobar",
+        content: "6",
+      }),
+      new HumanMessage({
+        content: [{ type: "image_url", image_url: { url: "7.1" } }],
+      }),
+      new AIMessage({
+        content: [{ type: "text", text: "8.1" }],
+        tool_calls: [
+          {
+            id: "8.5",
+            name: "8.4",
+            args: { "8.2": "8.3" },
+            type: "tool_call",
+          },
+        ],
+      }),
+      new ToolMessage({
+        name: undefined,
+        content: "10.2",
+        tool_call_id: "10.2",
+      }),
+    ]);
+  });
+});
diff --git a/langchain-core/src/messages/utils.ts b/langchain-core/src/messages/utils.ts
index 4a34e03984ee..b9df034ee923 100644
--- a/langchain-core/src/messages/utils.ts
+++ b/langchain-core/src/messages/utils.ts
@@ -1,3 +1,4 @@
+import { _isToolCall } from "../tools/utils.js";
 import { AIMessage, AIMessageChunk, AIMessageChunkFields } from "./ai.js";
 import {
   BaseMessageLike,
@@ -6,6 +7,7 @@ import {
   StoredMessage,
   StoredMessageV1,
   BaseMessageFields,
+  _isMessageFieldWithRole,
 } from "./base.js";
 import {
   ChatMessage,
@@ -19,16 +21,53 @@ import {
 } from "./function.js";
 import { HumanMessage, HumanMessageChunk } from "./human.js";
 import { SystemMessage, SystemMessageChunk } from "./system.js";
-import { ToolMessage, ToolMessageFieldsWithToolCallId } from "./tool.js";
+import {
+  ToolCall,
+  ToolMessage,
+  ToolMessageFieldsWithToolCallId,
+} from "./tool.js";
+
+function _coerceToolCall(
+  toolCall: ToolCall | Record<string, unknown>
+): ToolCall {
+  if (_isToolCall(toolCall)) {
+    return toolCall;
+  } else if (
+    typeof toolCall.id === "string" &&
+    toolCall.type === "function" &&
+    typeof toolCall.function === "object" &&
+    toolCall.function !== null &&
+    "arguments" in toolCall.function &&
+    typeof toolCall.function.arguments === "string" &&
+    "name" in toolCall.function &&
+    typeof toolCall.function.name === "string"
+  ) {
+    // Handle OpenAI tool call format
+    return {
+      id: toolCall.id,
+      args: JSON.parse(toolCall.function.arguments),
+      name: toolCall.function.name,
+      type: "tool_call",
+    };
+  } else {
+    // TODO: Throw an error?
+    return toolCall as ToolCall;
+  }
+}
 
 function _constructMessageFromParams(
-  params: BaseMessageFields & { type: string }
+  params: BaseMessageFields & { type: string } & Record<string, unknown>
 ) {
   const { type, ...rest } = params;
   if (type === "human" || type === "user") {
     return new HumanMessage(rest);
   } else if (type === "ai" || type === "assistant") {
-    return new AIMessage(rest);
+    const { tool_calls: rawToolCalls, ...other } = rest;
+    if (!Array.isArray(rawToolCalls)) {
+      return new AIMessage(rest);
+    }
+    const tool_calls = rawToolCalls.map(_coerceToolCall);
+    return new AIMessage({ ...other, tool_calls });
   } else if (type === "system") {
     return new SystemMessage(rest);
   } else if (type === "tool" && "tool_call_id" in rest) {
@@ -56,6 +95,9 @@ export function coerceMessageLikeToMessage(
   if (Array.isArray(messageLike)) {
     const [type, content] = messageLike;
     return _constructMessageFromParams({ type, content });
+  } else if (_isMessageFieldWithRole(messageLike)) {
+    const { role: type, ...rest } = messageLike;
+    return _constructMessageFromParams({ ...rest, type });
   } else {
     return _constructMessageFromParams(messageLike);
   }

From f3d4b149e4ecd40902c58ad54e0abba39c2d5098 Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Wed, 28 Aug 2024 14:28:36 -0700
Subject: [PATCH 119/344] core[patch]: Release 0.2.31 (#6656)

---
 langchain-core/package.json | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/langchain-core/package.json b/langchain-core/package.json
index cc1de8205949..9bc186af33be 100644
--- a/langchain-core/package.json
+++ b/langchain-core/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/core",
-  "version": "0.2.30",
+  "version": "0.2.31",
   "description": "Core LangChain.js abstractions and schemas",
   "type": "module",
   "engines": {

From f38c569e62ccd2d8517f05c24929e704f1e4ded0 Mon Sep 17 00:00:00 2001
From: Brace Sproul <braceasproul@gmail.com>
Date: Fri, 30 Aug 2024 14:29:22 -0700
Subject: [PATCH 120/344] api_refs[patch]: Update core redirect (#6668)

---
 docs/api_refs/vercel.json | 4 ++++
 1 file changed, 4 insertions(+)

diff --git a/docs/api_refs/vercel.json b/docs/api_refs/vercel.json
index fe54a520726c..219988d6d6e5 100644
--- a/docs/api_refs/vercel.json
+++ b/docs/api_refs/vercel.json
@@ -114,6 +114,10 @@
       "source": "/:path*/langchain_core_:rest",
       "destination": "/:path*/_langchain_core.:rest"
     },
+    {
+      "source": "/:path*/langchain_core.:rest",
+      "destination": "/:path*/_langchain_core.:rest"
+    },
     {
       "source": "/:path*/langchain_anthropic_experimental(_|\\.):rest",
       "destination": "/:path*/_langchain_anthropic.experimental.:rest"

From aa1f7cf5ef7145281273aad055fd8c9262337753 Mon Sep 17 00:00:00 2001
From: Brace Sproul <braceasproul@gmail.com>
Date: Mon, 2 Sep 2024 12:53:56 -0700
Subject: [PATCH 121/344] openai[patch]: Skip flaky test (#6677)

---
 .../src/tests/chat_models_structured_output.int.test.ts        | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/libs/langchain-openai/src/tests/chat_models_structured_output.int.test.ts b/libs/langchain-openai/src/tests/chat_models_structured_output.int.test.ts
index 650cf0434b5f..c6a6c97dbeda 100644
--- a/libs/langchain-openai/src/tests/chat_models_structured_output.int.test.ts
+++ b/libs/langchain-openai/src/tests/chat_models_structured_output.int.test.ts
@@ -499,7 +499,8 @@ describe("response_format: json_schema", () => {
     expect(response).toHaveProperty("unit");
   });
 
-  it("can be streamed with WSO", async () => {
+  // Flaky test
+  it.skip("can be streamed with WSO", async () => {
     const model = new ChatOpenAI({
       model: "gpt-4o-2024-08-06",
     }).withStructuredOutput(weatherSchema, {

From f3de0bc5ab72a5fd7f623dcb1a71f1a69ff43fd9 Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Mon, 2 Sep 2024 20:05:28 -0700
Subject: [PATCH 122/344] =?UTF-8?q?=F0=9F=91=A5=20Update=20LangChain=20peo?=
 =?UTF-8?q?ple=20data=20(#6669)?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

Co-authored-by: github-actions <github-actions@github.com>
---
 docs/core_docs/data/people.yml | 305 ++++++++++++++-------------------
 1 file changed, 125 insertions(+), 180 deletions(-)

diff --git a/docs/core_docs/data/people.yml b/docs/core_docs/data/people.yml
index a4be81c7887a..e73bfda2b9d6 100644
--- a/docs/core_docs/data/people.yml
+++ b/docs/core_docs/data/people.yml
@@ -1,100 +1,60 @@
 maintainers:
 - login: nfcampos
-  count: 339
+  count: 343
   avatarUrl: https://avatars.githubusercontent.com/u/56902?u=fdb30e802c68bc338dd9c0820f713e4fdac75db7&v=4
   twitterUsername: nfcampos
   url: https://github.com/nfcampos
-- login: jacoblee93
-  count: 1051
-  avatarUrl: https://avatars.githubusercontent.com/u/6952323?u=d785f9406c5a78ebd75922567b2693fb643c3bb0&v=4
-  twitterUsername: hacubu
-  url: https://github.com/jacoblee93
+- login: bracesproul
+  count: 764
+  avatarUrl: https://avatars.githubusercontent.com/u/46789226?u=83f467441c4b542b900fe2bb8fe45e26bf918da0&v=4
+  twitterUsername: bracesproul
+  url: https://github.com/bracesproul
 - login: dqbd
-  count: 43
+  count: 45
   avatarUrl: https://avatars.githubusercontent.com/u/1443449?u=fe32372ae8f497065ef0a1c54194d9dff36fb81d&v=4
   twitterUsername: __dqbd
   url: https://github.com/dqbd
+- login: jacoblee93
+  count: 1226
+  avatarUrl: https://avatars.githubusercontent.com/u/6952323?u=d785f9406c5a78ebd75922567b2693fb643c3bb0&v=4
+  twitterUsername: hacubu
+  url: https://github.com/jacoblee93
 - login: hwchase17
   count: 73
   avatarUrl: https://avatars.githubusercontent.com/u/11986836?u=f4c4f21a82b2af6c9f91e1f1d99ea40062f7a101&v=4
   twitterUsername: null
   url: https://github.com/hwchase17
-- login: bracesproul
-  count: 515
-  avatarUrl: https://avatars.githubusercontent.com/u/46789226?u=83f467441c4b542b900fe2bb8fe45e26bf918da0&v=4
-  twitterUsername: bracesproul
-  url: https://github.com/bracesproul
 top_recent_contributors:
-- login: jeasonnow
-  count: 4.664088958316339
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-  url: https://github.com/jeasonnow
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-  url: https://github.com/Anush008
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+  count: 2.594246611122073
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+  url: https://github.com/dl102306
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+  url: https://github.com/Anirudh31415926535
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+  twitterUsername: null
+  url: https://github.com/apps/dependabot
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+  count: 1.8419619282928634
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+  twitterUsername: chentschel_
+  url: https://github.com/chentschel
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-  count: 3.9993938956370485
+  count: 1.5981076527116855
   avatarUrl: https://avatars.githubusercontent.com/u/593151?u=08557bbdd96221813b8aec932dd7de895ac040ea&v=4
   twitterUsername: sinedied
   url: https://github.com/sinedied
-- login: tomasonjo
-  count: 2.4717945681400333
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-  url: https://github.com/tomasonjo
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-  url: https://github.com/easwee
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-  url: https://github.com/ovuruska
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-  url: https://github.com/nicoloboschi
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-  count: 1.8894395682001615
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-  url: https://github.com/sarangan12
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-  count: 1.6921412567841918
-  avatarUrl: https://avatars.githubusercontent.com/u/3507578?v=4
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-  url: https://github.com/afirstenberg
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   twitterUsername: null
   url: https://github.com/miloradvojnovic
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@@ -105,76 +65,31 @@ top_recent_contributors:
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-  count: 1.2498577975251404
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+  url: https://github.com/ovuruska
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+  count: 1.192831678125796
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   twitterUsername: null
-  url: https://github.com/JackFener
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-  url: https://github.com/ananis25
+  url: https://github.com/tofuliang
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   twitterUsername: Avater004
   url: https://github.com/AvaterClasher
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-  twitterUsername: nickscamara_
-  url: https://github.com/nickscamara
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+  count: 1.071155682903534
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+  url: https://github.com/jl4nz
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   twitterUsername: null
   url: https://github.com/volodymyr-memsql
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-  url: https://github.com/madmed88
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-  twitterUsername: WilliamEspegren
-  url: https://github.com/WilliamEspegren
 top_contributors:
 - login: afirstenberg
   count: 22.268597738308145
@@ -197,12 +112,12 @@ top_contributors:
   twitterUsername: null
   url: https://github.com/sullivan-sean
 - login: sinedied
-  count: 8.92324495771288
+  count: 10.521352610424566
   avatarUrl: https://avatars.githubusercontent.com/u/593151?u=08557bbdd96221813b8aec932dd7de895ac040ea&v=4
   twitterUsername: sinedied
   url: https://github.com/sinedied
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-  count: 8.186473389575989
+  count: 8.253700280332291
   avatarUrl: https://avatars.githubusercontent.com/u/19948365?v=4
   twitterUsername: tb_tomaz
   url: https://github.com/tomasonjo
@@ -256,21 +171,26 @@ top_contributors:
   avatarUrl: https://avatars.githubusercontent.com/u/48515433?v=4
   twitterUsername: null
   url: https://github.com/MJDeligan
+- login: jeasonnow
+  count: 5.487271244993293
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+  url: https://github.com/jeasonnow
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   twitterUsername: mlonml
   url: https://github.com/malandis
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   twitterUsername: null
   url: https://github.com/danielchalef
+- login: Swimburger
+  count: 4.30247126533074
+  avatarUrl: https://avatars.githubusercontent.com/u/3382717?u=5a84a173b0e80effc9161502c0848bf06c84bde9&v=4
+  twitterUsername: RealSwimburger
+  url: https://github.com/Swimburger
 - login: Anush008
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@@ -286,6 +206,11 @@ top_contributors:
   avatarUrl: https://avatars.githubusercontent.com/u/20127759?v=4
   twitterUsername: zukerpie
   url: https://github.com/kwkr
+- login: sarangan12
+  count: 3.814606725038421
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@@ -296,16 +221,11 @@ top_contributors:
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   twitterUsername: null
   url: https://github.com/ewfian
-- login: Swimburger
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-  twitterUsername: RealSwimburger
-  url: https://github.com/Swimburger
-- login: sarangan12
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-  url: https://github.com/sarangan12
+- login: jl4nz
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+  twitterUsername: jlanzarotti
+  url: https://github.com/jl4nz
 - login: volodymyr-memsql
   count: 3.2697631770291293
   avatarUrl: https://avatars.githubusercontent.com/u/57520563?v=4
@@ -318,12 +238,12 @@ top_contributors:
   url: https://github.com/jasondotparse
 - login: mishushakov
   count: 3.025937666523869
-  avatarUrl: https://avatars.githubusercontent.com/u/10400064?u=581d97314df325c15ec221f64834003d3bba5cc1&v=4
-  twitterUsername: null
+  avatarUrl: https://avatars.githubusercontent.com/u/10400064?u=52b50611d587317f397a96f898753099d65931f1&v=4
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   url: https://github.com/mishushakov
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+  avatarUrl: https://avatars.githubusercontent.com/u/922353?u=212a67ff65d67d39e41c3cb58cd7a7b8b2f89f3e&v=4
   twitterUsername: null
   url: https://github.com/kristianfreeman
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@@ -371,6 +291,11 @@ top_contributors:
   avatarUrl: https://avatars.githubusercontent.com/u/255413?v=4
   twitterUsername: null
   url: https://github.com/sunner
+- login: dl102306
+  count: 2.594246611122073
+  avatarUrl: https://avatars.githubusercontent.com/u/2979960?v=4
+  twitterUsername: null
+  url: https://github.com/dl102306
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@@ -401,6 +326,11 @@ top_contributors:
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   twitterUsername: null
   url: https://github.com/alexleventer
+- login: Anirudh31415926535
+  count: 2.378611865453971
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+  url: https://github.com/Anirudh31415926535
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@@ -426,11 +356,6 @@ top_contributors:
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   twitterUsername: null
   url: https://github.com/jo32
-- login: jl4nz
-  count: 2.251330900952655
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-  url: https://github.com/jl4nz
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@@ -461,6 +386,11 @@ top_contributors:
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   twitterUsername: null
   url: https://github.com/davidfant
+- login: dependabot
+  count: 2.118005716372584
+  avatarUrl: https://avatars.githubusercontent.com/in/29110?v=4
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+  url: https://github.com/apps/dependabot
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   avatarUrl: https://avatars.githubusercontent.com/u/1635179?u=0631cb84ca580089198114f94d9c27efe730220e&v=4
@@ -501,6 +431,11 @@ top_contributors:
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   twitterUsername: valdozzz1
   url: https://github.com/valdo99
+- login: chentschel
+  count: 1.8419619282928634
+  avatarUrl: https://avatars.githubusercontent.com/u/319227?u=db20ce1d424f10d7760665ab693791ebc580131a&v=4
+  twitterUsername: chentschel_
+  url: https://github.com/chentschel
 - login: gmpetrov
   count: 1.8103159579166737
   avatarUrl: https://avatars.githubusercontent.com/u/4693180?u=8cf781d9099d6e2f2d2caf7612a5c2811ba13ef8&v=4
@@ -551,6 +486,11 @@ top_contributors:
   avatarUrl: https://avatars.githubusercontent.com/u/9033201?u=e5f657c3a1657c089d7cb88121e544ae7212e6f1&v=4
   twitterUsername: MerbinJAnselm
   url: https://github.com/anselm94
+- login: aixgeek
+  count: 1.5850862534183767
+  avatarUrl: https://avatars.githubusercontent.com/u/9697715?u=d139c5568375c2472ac6142325e6856cd766d88d&v=4
+  twitterUsername: geekxai
+  url: https://github.com/aixgeek
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   count: 1.5791775791775793
   avatarUrl: https://avatars.githubusercontent.com/u/24856195?u=9f55337506cdcac3146772c56b4634e6b46a5e46&v=4
@@ -591,6 +531,11 @@ top_contributors:
   avatarUrl: https://avatars.githubusercontent.com/u/249891?u=36703ce68261be59109622877012be08fbc090da&v=4
   twitterUsername: conroywhitney
   url: https://github.com/conroywhitney
+- login: seuha516
+  count: 1.511875544931005
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+  twitterUsername: null
+  url: https://github.com/seuha516
 - login: Czechh
   count: 1.4922336407937202
   avatarUrl: https://avatars.githubusercontent.com/u/4779936?u=ab072503433effc18c071b31adda307988877d5e&v=4
@@ -666,6 +611,11 @@ top_contributors:
   avatarUrl: https://avatars.githubusercontent.com/u/7654246?u=b8599019655adaada3cdc3c3006798df42c44494&v=4
   twitterUsername: andrewnguonly
   url: https://github.com/andrewnguonly
+- login: clemenspeters
+  count: 1.4063956990937188
+  avatarUrl: https://avatars.githubusercontent.com/u/13015002?u=059c556d90a2e5639dee42123077d51223c190f0&v=4
+  twitterUsername: PetersClemens
+  url: https://github.com/clemenspeters
 - login: ShaunBaker
   count: 1.4047837363443452
   avatarUrl: https://avatars.githubusercontent.com/u/1176557?u=c2e8ecfb45b736fc4d3bbfe182e26936bd519fd3&v=4
@@ -716,16 +666,6 @@ top_contributors:
   avatarUrl: https://avatars.githubusercontent.com/u/70933?u=206fafc72fd14b4291cb29269c5e1cc8081d043b&v=4
   twitterUsername: willemmulder
   url: https://github.com/willemmulder
-- login: aixgeek
-  count: 1.3311179994501228
-  avatarUrl: https://avatars.githubusercontent.com/u/9697715?u=d139c5568375c2472ac6142325e6856cd766d88d&v=4
-  twitterUsername: geekxai
-  url: https://github.com/aixgeek
-- login: seuha516
-  count: 1.3248369887374036
-  avatarUrl: https://avatars.githubusercontent.com/u/79067549?u=de7a2688cb44010afafd055d707f3463585494df&v=4
-  twitterUsername: null
-  url: https://github.com/seuha516
 - login: mhart
   count: 1.314023891343479
   avatarUrl: https://avatars.githubusercontent.com/u/367936?v=4
@@ -753,8 +693,8 @@ top_contributors:
   url: https://github.com/Neverland3124
 - login: jasonnathan
   count: 1.2936835460554628
-  avatarUrl: https://avatars.githubusercontent.com/u/780157?u=d5efec16b5e3a9913dc44967059a70d9a610755d&v=4
-  twitterUsername: null
+  avatarUrl: https://avatars.githubusercontent.com/u/780157?u=006e0deda897eb1a4abcc459adcd7242dcbe8fee&v=4
+  twitterUsername: jason_nathan
   url: https://github.com/jasonnathan
 - login: Maanethdesilva
   count: 1.2846497764530551
@@ -811,6 +751,11 @@ top_contributors:
   avatarUrl: https://avatars.githubusercontent.com/u/33070601?u=ddc6c16156f6397198692c547324e51f94c70ca7&v=4
   twitterUsername: null
   url: https://github.com/LordMsz
+- login: tanyaasharma
+  count: 1.2499106738092052
+  avatarUrl: https://avatars.githubusercontent.com/u/140478067?v=4
+  twitterUsername: null
+  url: https://github.com/tanyaasharma
 - login: crazyurus
   count: 1.2498577975251404
   avatarUrl: https://avatars.githubusercontent.com/u/2209055?u=b39f7e70f137ff3d1785d261cb15067f0d91ae05&v=4
@@ -866,11 +811,11 @@ top_contributors:
   avatarUrl: https://avatars.githubusercontent.com/u/7506913?u=42c32ca59ae2e44532cd45027e5b62d2712cf2a2&v=4
   twitterUsername: null
   url: https://github.com/zhengxs2018
-- login: clemenspeters
-  count: 1.189464482162502
-  avatarUrl: https://avatars.githubusercontent.com/u/13015002?u=059c556d90a2e5639dee42123077d51223c190f0&v=4
-  twitterUsername: PetersClemens
-  url: https://github.com/clemenspeters
+- login: tofuliang
+  count: 1.192831678125796
+  avatarUrl: https://avatars.githubusercontent.com/u/1814685?v=4
+  twitterUsername: null
+  url: https://github.com/tofuliang
 - login: cmtoomey
   count: 1.1890213611525087
   avatarUrl: https://avatars.githubusercontent.com/u/12201602?u=ea5cbb8d158980f6050dd41ae41b7f72e0a47337&v=4
@@ -1108,7 +1053,7 @@ top_contributors:
   url: https://github.com/erhant
 top_reviewers:
 - login: afirstenberg
-  count: 21
+  count: 23
   avatarUrl: https://avatars.githubusercontent.com/u/3507578?v=4
   twitterUsername: null
   url: https://github.com/afirstenberg
@@ -1132,13 +1077,13 @@ top_reviewers:
   avatarUrl: https://avatars.githubusercontent.com/u/455796?v=4
   twitterUsername: null
   url: https://github.com/jacobrosenthal
+- login: sinedied
+  count: 6
+  avatarUrl: https://avatars.githubusercontent.com/u/593151?u=08557bbdd96221813b8aec932dd7de895ac040ea&v=4
+  twitterUsername: sinedied
+  url: https://github.com/sinedied
 - login: mieslep
   count: 5
   avatarUrl: https://avatars.githubusercontent.com/u/5420540?u=8f038c002fbce42427999eb715dc9f868cef1c84&v=4
   twitterUsername: null
   url: https://github.com/mieslep
-- login: sinedied
-  count: 5
-  avatarUrl: https://avatars.githubusercontent.com/u/593151?u=08557bbdd96221813b8aec932dd7de895ac040ea&v=4
-  twitterUsername: sinedied
-  url: https://github.com/sinedied

From 2de468fac67bef08ba8ce5dde13d3daa3ce798c8 Mon Sep 17 00:00:00 2001
From: aya <15815271+ayatnkw@users.noreply.github.com>
Date: Tue, 3 Sep 2024 17:57:47 +0200
Subject: [PATCH 123/344] docs[patch]: Fix typos in Agents tutorial (#6675)

---
 docs/core_docs/docs/tutorials/agents.mdx | 10 +++++-----
 1 file changed, 5 insertions(+), 5 deletions(-)

diff --git a/docs/core_docs/docs/tutorials/agents.mdx b/docs/core_docs/docs/tutorials/agents.mdx
index 201339008d9d..d3c0ad4ef4f0 100644
--- a/docs/core_docs/docs/tutorials/agents.mdx
+++ b/docs/core_docs/docs/tutorials/agents.mdx
@@ -26,7 +26,7 @@ In this tutorial we will build an agent that can interact with multiple differen
 By definition, agents take a self-determined, input-dependent sequence of steps before returning a user-facing output. This makes debugging these systems particularly tricky, and observability particularly important.
 [LangSmith](https://smith.langchain.com) is especially useful for such cases.
 
-When building with LangChain, all steps will automatically be traced in LangSmith. To set up LangSmith we just need set the following environment variables:
+When building with LangChain, all steps will automatically be traced in LangSmith. To set up LangSmith we just need to set the following environment variables:
 
 ```bash
 export LANGCHAIN_TRACING_V2="true"
@@ -42,7 +42,7 @@ We first need to create the tools we want to use. We will use two tools: [Tavily
 
 ### [Tavily](https://app.tavily.com)
 
-We have a built-in tool in LangChain to easily use Tavily search engine as tool.
+We have a built-in tool in LangChain to easily use Tavily search engine as a tool.
 Note that this requires a Tavily API key set as an environment variable named `TAVILY_API_KEY` - they have a free tier, but if you don’t have one or don’t want to create one, you can always ignore this step.
 
 ```typescript
@@ -100,7 +100,7 @@ console.log(retrieverResult[0]);
 */
 ```
 
-Now that we have populated our index that we will do doing retrieval over, we can easily turn it into a tool (the format needed for an agent to properly use it):
+Now that we have populated our index that we will be doing retrieval over, we can easily turn it into a tool (the format needed for an agent to properly use it):
 
 ```typescript
 import { createRetrieverTool } from "langchain/tools/retriever";
@@ -150,7 +150,7 @@ const prompt = await pull<ChatPromptTemplate>(
 ```
 
 Now, we can initalize the agent with the LLM, the prompt, and the tools. The agent is responsible for taking in input and deciding what actions to take.
-Crucially, the Agent does not execute those actions - that is done by the AgentExecutor (next step). For more information about how to thing about these components, see our [conceptual guide](/docs/concepts#agents).
+Crucially, the Agent does not execute those actions - that is done by the AgentExecutor (next step). For more information about how to think about these components, see our [conceptual guide](/docs/concepts#agents).
 
 ```typescript
 import { createOpenAIFunctionsAgent } from "langchain/agents";
@@ -163,7 +163,7 @@ const agent = await createOpenAIFunctionsAgent({
 ```
 
 Finally, we combine the agent (the brains) with the tools inside the AgentExecutor (which will repeatedly call the agent and execute tools).
-For more information about how to thing about these components, see our [conceptual guide](/docs/concepts#agents).
+For more information about how to think about these components, see our [conceptual guide](/docs/concepts#agents).
 
 ```typescript
 import { AgentExecutor } from "langchain/agents";

From 7922aa9aa890431eaa5294fc5171e7d0d8c1d92d Mon Sep 17 00:00:00 2001
From: Ezra Chu <ezra@fledgerlabs.io>
Date: Wed, 4 Sep 2024 14:12:55 -0400
Subject: [PATCH 124/344] fix(openai): Check `configuration.apiKey` in
 `ChatOpenAI` constructor (#6664)

---
 libs/langchain-openai/src/chat_models.ts | 1 +
 1 file changed, 1 insertion(+)

diff --git a/libs/langchain-openai/src/chat_models.ts b/libs/langchain-openai/src/chat_models.ts
index cedb15777527..f2219bd5a5d1 100644
--- a/libs/langchain-openai/src/chat_models.ts
+++ b/libs/langchain-openai/src/chat_models.ts
@@ -956,6 +956,7 @@ export class ChatOpenAI<
     this.openAIApiKey =
       fields?.apiKey ??
       fields?.openAIApiKey ??
+      fields?.configuration?.apiKey ??
       getEnvironmentVariable("OPENAI_API_KEY");
     this.apiKey = this.openAIApiKey;
 

From 2cd7519c3095e36cec73d415cf6a2b80b7888923 Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Wed, 4 Sep 2024 11:20:46 -0700
Subject: [PATCH 125/344] langchain[patch]: Allow custom handling of tool
 runtime errors in legacy agent executor (#6687)

---
 langchain/package.json                        |  6 +--
 langchain/src/agents/executor.ts              |  9 +++-
 .../create_openai_tools_agent.int.test.ts     | 41 +++++++++++++++++++
 3 files changed, 52 insertions(+), 4 deletions(-)

diff --git a/langchain/package.json b/langchain/package.json
index 3465af3054fe..2ec614901958 100644
--- a/langchain/package.json
+++ b/langchain/package.json
@@ -584,9 +584,9 @@
     "prepack": "yarn build",
     "release": "release-it --only-version --config .release-it.json",
     "test": "NODE_OPTIONS=--experimental-vm-modules jest --testPathIgnorePatterns=\\.int\\.test.ts --testTimeout 30000 --maxWorkers=50%",
-    "test:watch": "yarn run build:deps && NODE_OPTIONS=--experimental-vm-modules jest --watch --testPathIgnorePatterns=\\.int\\.test.ts",
-    "test:integration": "yarn run build:deps && NODE_OPTIONS=--experimental-vm-modules jest --testPathPattern=\\.int\\.test.ts --testTimeout 100000 --maxWorkers=50%",
-    "test:single": "yarn run build:deps && NODE_OPTIONS=--experimental-vm-modules yarn run jest --config jest.config.cjs --testTimeout 100000",
+    "test:watch": "NODE_OPTIONS=--experimental-vm-modules jest --watch --testPathIgnorePatterns=\\.int\\.test.ts",
+    "test:integration": "NODE_OPTIONS=--experimental-vm-modules jest --testPathPattern=\\.int\\.test.ts --testTimeout 100000 --maxWorkers=50%",
+    "test:single": "NODE_OPTIONS=--experimental-vm-modules yarn run jest --config jest.config.cjs --testTimeout 100000",
     "format": "prettier --config .prettierrc --write \"src\"",
     "format:check": "prettier --config .prettierrc --check \"src\""
   },
diff --git a/langchain/src/agents/executor.ts b/langchain/src/agents/executor.ts
index 70edc5a6573e..5e55da1e311e 100644
--- a/langchain/src/agents/executor.ts
+++ b/langchain/src/agents/executor.ts
@@ -311,6 +311,7 @@ export interface AgentExecutorInput extends ChainInputs {
     | boolean
     | string
     | ((e: OutputParserException | ToolInputParsingException) => string);
+  handleToolRuntimeErrors?: (e: Error) => string;
 }
 
 // TODO: Type properly with { intermediateSteps?: AgentStep[] };
@@ -386,6 +387,8 @@ export class AgentExecutor extends BaseChain<ChainValues, AgentExecutorOutput> {
     | ((e: OutputParserException | ToolInputParsingException) => string) =
     false;
 
+  handleToolRuntimeErrors?: (e: Error) => string;
+
   get inputKeys() {
     return this.agent.inputKeys;
   }
@@ -427,6 +430,7 @@ export class AgentExecutor extends BaseChain<ChainValues, AgentExecutorOutput> {
     this.tools = input.tools;
     this.handleParsingErrors =
       input.handleParsingErrors ?? this.handleParsingErrors;
+    this.handleToolRuntimeErrors = input.handleToolRuntimeErrors;
     this.returnOnlyOutputs = returnOnlyOutputs;
     if (this.agent._agentActionType() === "multi") {
       for (const tool of this.tools) {
@@ -565,7 +569,8 @@ export class AgentExecutor extends BaseChain<ChainValues, AgentExecutorOutput> {
                 "Received unsupported non-string response from tool call."
               );
             }
-          } catch (e) {
+            // eslint-disable-next-line @typescript-eslint/no-explicit-any
+          } catch (e: any) {
             // eslint-disable-next-line no-instanceof/no-instanceof
             if (e instanceof ToolInputParsingException) {
               if (this.handleParsingErrors === true) {
@@ -583,6 +588,8 @@ export class AgentExecutor extends BaseChain<ChainValues, AgentExecutorOutput> {
                 runManager?.getChild()
               );
               return { action, observation: observation ?? "" };
+            } else if (this.handleToolRuntimeErrors !== undefined) {
+              observation = this.handleToolRuntimeErrors(e);
             }
           }
 
diff --git a/langchain/src/agents/tests/create_openai_tools_agent.int.test.ts b/langchain/src/agents/tests/create_openai_tools_agent.int.test.ts
index 472e60a28d17..8d4c1b6305fd 100644
--- a/langchain/src/agents/tests/create_openai_tools_agent.int.test.ts
+++ b/langchain/src/agents/tests/create_openai_tools_agent.int.test.ts
@@ -4,6 +4,8 @@ import type { ChatPromptTemplate } from "@langchain/core/prompts";
 import { RunnableLambda } from "@langchain/core/runnables";
 import { LangChainTracer } from "@langchain/core/tracers/tracer_langchain";
 import { AsyncLocalStorageProviderSingleton } from "@langchain/core/singletons";
+import { tool } from "@langchain/core/tools";
+import { z } from "zod";
 import { AsyncLocalStorage } from "async_hooks";
 import { TavilySearchResults } from "../../util/testing/tools/tavily_search.js";
 import { pull } from "../../hub.js";
@@ -40,6 +42,45 @@ test("createOpenAIToolsAgent works", async () => {
   expect(result.output.length).toBeGreaterThan(10);
 });
 
+test("createOpenAIToolsAgent handles errors", async () => {
+  const errorTools = [
+    tool(
+      async () => {
+        const error = new Error("Error getting search results");
+        throw error;
+      },
+      {
+        name: "search-results",
+        schema: z.object({
+          query: z.string(),
+        }),
+        description: "Searches the web",
+      }
+    ),
+  ];
+  const prompt = await pull<ChatPromptTemplate>("hwchase17/openai-tools-agent");
+  const llm = new ChatOpenAI({
+    modelName: "gpt-3.5-turbo-1106",
+    temperature: 0,
+  });
+  const agent = await createOpenAIToolsAgent({
+    llm,
+    tools: errorTools,
+    prompt,
+  });
+  const agentExecutor = new AgentExecutor({
+    agent,
+    tools: errorTools,
+    handleToolRuntimeErrors: (e) => {
+      throw e;
+    },
+  });
+  const input = "what is LangChain?";
+  await expect(agentExecutor.invoke({ input })).rejects.toThrowError(
+    "Error getting search results"
+  );
+});
+
 test.skip("createOpenAIToolsAgent tracing works when it is nested in a lambda", async () => {
   AsyncLocalStorageProviderSingleton.initializeGlobalInstance(
     new AsyncLocalStorage()

From cc468259be629bc0656b632b23f075a9b6148986 Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Wed, 4 Sep 2024 12:23:24 -0700
Subject: [PATCH 126/344] chore(openai): Release 0.2.9 (#6689)

---
 libs/langchain-openai/package.json | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/libs/langchain-openai/package.json b/libs/langchain-openai/package.json
index 1a7bc2f35490..f4d9754b0877 100644
--- a/libs/langchain-openai/package.json
+++ b/libs/langchain-openai/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/openai",
-  "version": "0.2.8",
+  "version": "0.2.9",
   "description": "OpenAI integrations for LangChain.js",
   "type": "module",
   "engines": {

From bc1dadc9bfdf9f77d50ff57f7017c099232cb80c Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Wed, 4 Sep 2024 12:29:04 -0700
Subject: [PATCH 127/344] fix(community): ElasticVectorSearch: exclude metadata
 filters not working due changing to term instead of terms (#6688)

Co-authored-by: Laurens Tsestigh <90600075+LaurensTsestigh@users.noreply.github.com>
---
 .../langchain-community/src/vectorstores/elasticsearch.ts | 7 ++++---
 .../src/vectorstores/tests/elasticsearch.int.test.ts      | 8 ++++++++
 2 files changed, 12 insertions(+), 3 deletions(-)

diff --git a/libs/langchain-community/src/vectorstores/elasticsearch.ts b/libs/langchain-community/src/vectorstores/elasticsearch.ts
index 14a4ee12ac03..cccc439bb7a9 100644
--- a/libs/langchain-community/src/vectorstores/elasticsearch.ts
+++ b/libs/langchain-community/src/vectorstores/elasticsearch.ts
@@ -343,10 +343,11 @@ export class ElasticVectorSearch extends VectorStore {
           },
         });
       } else if (condition.operator === "exclude") {
+        const toExclude = { [metadataField]: condition.value };
         must_not.push({
-          term: {
-            [metadataField]: condition.value,
-          },
+          ...(Array.isArray(condition.value)
+            ? { terms: toExclude }
+            : { term: toExclude }),
         });
       } else if (condition.operator === "or") {
         should.push({
diff --git a/libs/langchain-community/src/vectorstores/tests/elasticsearch.int.test.ts b/libs/langchain-community/src/vectorstores/tests/elasticsearch.int.test.ts
index 08ec39ac0f57..41045196892a 100644
--- a/libs/langchain-community/src/vectorstores/tests/elasticsearch.int.test.ts
+++ b/libs/langchain-community/src/vectorstores/tests/elasticsearch.int.test.ts
@@ -114,6 +114,14 @@ describe("ElasticVectorSearch", () => {
       },
     ]);
     expect(results2).toHaveLength(1);
+    const results3 = await store.similaritySearch("*", 11, [
+      {
+        field: "a",
+        value: [createdAt],
+        operator: "exclude",
+      },
+    ]);
+    expect(results3).toHaveLength(1);
   });
 
   test.skip("ElasticVectorSearch integration with text splitting metadata", async () => {

From 26612d90f4468bfd5d957eeb862ace0ac3ed39f6 Mon Sep 17 00:00:00 2001
From: Daniel Wabyick <dwabyick@users.noreply.github.com>
Date: Wed, 4 Sep 2024 12:51:33 -0700
Subject: [PATCH 128/344] Fix tiny typo in llm_chain.ipynb (#6679)

---
 docs/core_docs/docs/tutorials/llm_chain.ipynb | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/core_docs/docs/tutorials/llm_chain.ipynb b/docs/core_docs/docs/tutorials/llm_chain.ipynb
index 592fef3cb35b..ce8f7f400b02 100644
--- a/docs/core_docs/docs/tutorials/llm_chain.ipynb
+++ b/docs/core_docs/docs/tutorials/llm_chain.ipynb
@@ -269,7 +269,7 @@
    "source": [
     "## Prompt Templates\n",
     "\n",
-    "Right now we are passing a list of messages directly into the language model. Where does this list of messages come from? Usually it constructed from a combination of user input and application logic. This application logic usually takes the raw user input and transforms it into a list of messages ready to pass to the language model. Common transformations include adding a system message or formatting a template with the user input.\n",
+    "Right now we are passing a list of messages directly into the language model. Where does this list of messages come from? Usually it is constructed from a combination of user input and application logic. This application logic usually takes the raw user input and transforms it into a list of messages ready to pass to the language model. Common transformations include adding a system message or formatting a template with the user input.\n",
     "\n",
     "PromptTemplates are a concept in LangChain designed to assist with this transformation. They take in raw user input and return data (a prompt) that is ready to pass into a language model. \n",
     "\n",

From eeb7ae75e4a9269b09b14877f806ce758e4caa42 Mon Sep 17 00:00:00 2001
From: rxliuli <rxliuli@gmail.com>
Date: Thu, 5 Sep 2024 04:10:03 +0800
Subject: [PATCH 129/344] feat(anthropic): langchain-anthropic support custom
 create anthropic client (#6615)

Co-authored-by: jacoblee93 <jacoblee93@gmail.com>
---
 .../docs/integrations/chat/anthropic.ipynb    | 30 ++++++++++++++
 docs/core_docs/package.json                   |  1 +
 libs/langchain-anthropic/package.json         |  1 +
 libs/langchain-anthropic/src/chat_models.ts   | 23 ++++++++++-
 .../src/tests/chat_models.int.test.ts         | 14 +++++++
 yarn.lock                                     | 41 +++++++++++++++++++
 6 files changed, 108 insertions(+), 2 deletions(-)

diff --git a/docs/core_docs/docs/integrations/chat/anthropic.ipynb b/docs/core_docs/docs/integrations/chat/anthropic.ipynb
index 7cf4bbb7c6d0..4786d1f68a9b 100644
--- a/docs/core_docs/docs/integrations/chat/anthropic.ipynb
+++ b/docs/core_docs/docs/integrations/chat/anthropic.ipynb
@@ -931,6 +931,36 @@
     "For more on how prompt caching works, see [Anthropic's docs](https://docs.anthropic.com/en/docs/build-with-claude/prompt-caching#how-prompt-caching-works)."
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "f8dece4e",
+   "metadata": {},
+   "source": [
+    "## Custom clients\n",
+    "\n",
+    "Anthropic models [may be hosted on cloud services such as Google Vertex](https://docs.anthropic.com/en/api/claude-on-vertex-ai) that rely on a different underlying client with the same interface as the primary Anthropic client. You can access these services by providing a `createClient` method that returns an initialized instance of an Anthropic client. Here's an example:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "00ec6d41",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import { AnthropicVertex } from \"@anthropic-ai/vertex-sdk\";\n",
+    "\n",
+    "const customClient = new AnthropicVertex();\n",
+    "\n",
+    "const modelWithCustomClient = new ChatAnthropic({\n",
+    "  modelName: \"claude-3-sonnet-20240229\",\n",
+    "  maxRetries: 0,\n",
+    "  createClient: () => customClient,\n",
+    "});\n",
+    "\n",
+    "await modelWithCustomClient.invoke([{ role: \"user\", content: \"Hello!\" }]);"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "3a5bb5ca-c3ae-4a58-be67-2cd18574b9a3",
diff --git a/docs/core_docs/package.json b/docs/core_docs/package.json
index 9a74b1014673..ee79afc2e105 100644
--- a/docs/core_docs/package.json
+++ b/docs/core_docs/package.json
@@ -30,6 +30,7 @@
     "validate": "yarn notebook_validate"
   },
   "dependencies": {
+    "@anthropic-ai/vertex-sdk": "^0.4.1",
     "@docusaurus/core": "2.4.3",
     "@docusaurus/preset-classic": "2.4.3",
     "@docusaurus/remark-plugin-npm2yarn": "2.4.3",
diff --git a/libs/langchain-anthropic/package.json b/libs/langchain-anthropic/package.json
index fe8027f36ffb..6e037683cd15 100644
--- a/libs/langchain-anthropic/package.json
+++ b/libs/langchain-anthropic/package.json
@@ -42,6 +42,7 @@
     "zod-to-json-schema": "^3.22.4"
   },
   "devDependencies": {
+    "@anthropic-ai/vertex-sdk": "^0.4.1",
     "@jest/globals": "^29.5.0",
     "@langchain/scripts": ">=0.1.0 <0.2.0",
     "@langchain/standard-tests": "0.0.0",
diff --git a/libs/langchain-anthropic/src/chat_models.ts b/libs/langchain-anthropic/src/chat_models.ts
index 11d683cba8cc..1d561194faa7 100644
--- a/libs/langchain-anthropic/src/chat_models.ts
+++ b/libs/langchain-anthropic/src/chat_models.ts
@@ -145,6 +145,14 @@ export interface AnthropicInput {
    * @default true
    */
   streamUsage?: boolean;
+
+  /**
+   * Optional method that returns an initialized underlying Anthropic client.
+   * Useful for accessing Anthropic models hosted on other cloud services
+   * such as Google Vertex.
+   */
+  // eslint-disable-next-line @typescript-eslint/no-explicit-any
+  createClient?: (options: ClientOptions) => any;
 }
 
 /**
@@ -611,6 +619,13 @@ export class ChatAnthropicMessages<
 
   streamUsage = true;
 
+  /**
+   * Optional method that returns an initialized underlying Anthropic client.
+   * Useful for accessing Anthropic models hosted on other cloud services
+   * such as Google Vertex.
+   */
+  createClient: (options: ClientOptions) => Anthropic;
+
   constructor(fields?: AnthropicInput & BaseChatModelParams) {
     super(fields ?? {});
 
@@ -644,6 +659,10 @@ export class ChatAnthropicMessages<
 
     this.streaming = fields?.streaming ?? false;
     this.streamUsage = fields?.streamUsage ?? this.streamUsage;
+
+    this.createClient =
+      fields?.createClient ??
+      ((options: ClientOptions) => new Anthropic(options));
   }
 
   getLsParams(options: this["ParsedCallOptions"]): LangSmithParams {
@@ -908,7 +927,7 @@ export class ChatAnthropicMessages<
   ): Promise<Stream<AnthropicMessageStreamEvent>> {
     if (!this.streamingClient) {
       const options_ = this.apiUrl ? { baseURL: this.apiUrl } : undefined;
-      this.streamingClient = new Anthropic({
+      this.streamingClient = this.createClient({
         ...this.clientOptions,
         ...options_,
         apiKey: this.apiKey,
@@ -938,7 +957,7 @@ export class ChatAnthropicMessages<
       if (!this.apiKey) {
         throw new Error("Missing Anthropic API key.");
       }
-      this.batchClient = new Anthropic({
+      this.batchClient = this.createClient({
         ...this.clientOptions,
         ...options,
         apiKey: this.apiKey,
diff --git a/libs/langchain-anthropic/src/tests/chat_models.int.test.ts b/libs/langchain-anthropic/src/tests/chat_models.int.test.ts
index 29d12a22dcb5..d6864e92aa3d 100644
--- a/libs/langchain-anthropic/src/tests/chat_models.int.test.ts
+++ b/libs/langchain-anthropic/src/tests/chat_models.int.test.ts
@@ -16,6 +16,7 @@ import {
 } from "@langchain/core/prompts";
 import { CallbackManager } from "@langchain/core/callbacks/manager";
 import { concat } from "@langchain/core/utils/stream";
+import { AnthropicVertex } from "@anthropic-ai/vertex-sdk";
 import { ChatAnthropic } from "../chat_models.js";
 
 test("Test ChatAnthropic", async () => {
@@ -735,3 +736,16 @@ test.skip("tool caching", async () => {
     0
   );
 });
+
+test.skip("Test ChatAnthropic with custom client", async () => {
+  const client = new AnthropicVertex();
+  const chat = new ChatAnthropic({
+    modelName: "claude-3-sonnet-20240229",
+    maxRetries: 0,
+    createClient: () => client,
+  });
+  const message = new HumanMessage("Hello!");
+  const res = await chat.invoke([message]);
+  // console.log({ res });
+  expect(res.response_metadata.usage).toBeDefined();
+});
diff --git a/yarn.lock b/yarn.lock
index 48c3049c4726..1f7b98b5f78c 100644
--- a/yarn.lock
+++ b/yarn.lock
@@ -211,6 +211,21 @@ __metadata:
   languageName: node
   linkType: hard
 
+"@anthropic-ai/sdk@npm:>=0.14 <1":
+  version: 0.27.0
+  resolution: "@anthropic-ai/sdk@npm:0.27.0"
+  dependencies:
+    "@types/node": ^18.11.18
+    "@types/node-fetch": ^2.6.4
+    abort-controller: ^3.0.0
+    agentkeepalive: ^4.2.1
+    form-data-encoder: 1.7.2
+    formdata-node: ^4.3.2
+    node-fetch: ^2.6.7
+  checksum: 5cb980769a38a660fa607d9985f4cdae7aabc49053b94fe892f6c3b30f2714c32c6e86c6cf94c8bce9ceea6eed2cd5bac2e1d9d58c9aad0da43681f0a060263d
+  languageName: node
+  linkType: hard
+
 "@anthropic-ai/sdk@npm:^0.25.2":
   version: 0.25.2
   resolution: "@anthropic-ai/sdk@npm:0.25.2"
@@ -226,6 +241,16 @@ __metadata:
   languageName: node
   linkType: hard
 
+"@anthropic-ai/vertex-sdk@npm:^0.4.1":
+  version: 0.4.1
+  resolution: "@anthropic-ai/vertex-sdk@npm:0.4.1"
+  dependencies:
+    "@anthropic-ai/sdk": ">=0.14 <1"
+    google-auth-library: ^9.4.2
+  checksum: 3983c6f1b0e0aa2ce6896a0269177d1374343ba86169a30ad6cc0d9beef40ddcf410159baaa3f0942afbf62930951d067a870aa5c5e0624fe2c47981dc8d8c55
+  languageName: node
+  linkType: hard
+
 "@apache-arrow/ts@npm:^12.0.0":
   version: 12.0.0
   resolution: "@apache-arrow/ts@npm:12.0.0"
@@ -10852,6 +10877,7 @@ __metadata:
   resolution: "@langchain/anthropic@workspace:libs/langchain-anthropic"
   dependencies:
     "@anthropic-ai/sdk": ^0.25.2
+    "@anthropic-ai/vertex-sdk": ^0.4.1
     "@jest/globals": ^29.5.0
     "@langchain/core": ">=0.2.21 <0.3.0"
     "@langchain/scripts": ">=0.1.0 <0.2.0"
@@ -23262,6 +23288,7 @@ __metadata:
   version: 0.0.0-use.local
   resolution: "core_docs@workspace:docs/core_docs"
   dependencies:
+    "@anthropic-ai/vertex-sdk": ^0.4.1
     "@babel/eslint-parser": ^7.18.2
     "@docusaurus/core": 2.4.3
     "@docusaurus/preset-classic": 2.4.3
@@ -28678,6 +28705,20 @@ __metadata:
   languageName: node
   linkType: hard
 
+"google-auth-library@npm:^9.4.2":
+  version: 9.14.0
+  resolution: "google-auth-library@npm:9.14.0"
+  dependencies:
+    base64-js: ^1.3.0
+    ecdsa-sig-formatter: ^1.0.11
+    gaxios: ^6.1.1
+    gcp-metadata: ^6.1.0
+    gtoken: ^7.0.0
+    jws: ^4.0.0
+  checksum: ff2a66e84726b3a25711a64583d86cf9e0c0df857d538ce8127822d220e81e1e7d0defcedecb2be7fc407c104bb7d5ca26a4f201bde871c8d09ef72cc83603f8
+  languageName: node
+  linkType: hard
+
 "google-gax@npm:^4.0.3":
   version: 4.3.3
   resolution: "google-gax@npm:4.3.3"

From 5efa3b23861bd8715d9593a57c503cf373e897d3 Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Wed, 4 Sep 2024 13:17:11 -0700
Subject: [PATCH 130/344] chore(anthropic): Release 0.2.16 (#6691)

---
 libs/langchain-anthropic/package.json | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/libs/langchain-anthropic/package.json b/libs/langchain-anthropic/package.json
index 6e037683cd15..10e91c070907 100644
--- a/libs/langchain-anthropic/package.json
+++ b/libs/langchain-anthropic/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/anthropic",
-  "version": "0.2.15",
+  "version": "0.2.16",
   "description": "Anthropic integrations for LangChain.js",
   "type": "module",
   "engines": {

From 8f90583e087d281a6a3cdd337e301a92d1bbf6a3 Mon Sep 17 00:00:00 2001
From: Ben Burns <803016+benjamincburns@users.noreply.github.com>
Date: Thu, 5 Sep 2024 08:19:50 +1200
Subject: [PATCH 131/344] Fix top-level dependency install for node 22+ (#6658)

Co-authored-by: jacoblee93 <jacoblee93@gmail.com>
---
 libs/langchain-community/package.json |  2 +-
 package.json                          |  1 -
 yarn.lock                             | 10 +++++-----
 3 files changed, 6 insertions(+), 7 deletions(-)

diff --git a/libs/langchain-community/package.json b/libs/langchain-community/package.json
index 767540e6f2fd..87b1223ee396 100644
--- a/libs/langchain-community/package.json
+++ b/libs/langchain-community/package.json
@@ -133,7 +133,7 @@
     "@zilliz/milvus2-sdk-node": ">=2.3.5",
     "apify-client": "^2.7.1",
     "assemblyai": "^4.6.0",
-    "better-sqlite3": ">=9.4.0 <12.0.0",
+    "better-sqlite3": "9.5.0",
     "cassandra-driver": "^4.7.2",
     "cborg": "^4.1.1",
     "cheerio": "^1.0.0-rc.12",
diff --git a/package.json b/package.json
index fe247722ef30..2bd507f968aa 100644
--- a/package.json
+++ b/package.json
@@ -61,7 +61,6 @@
     "typedoc-plugin-markdown@next": "patch:typedoc-plugin-markdown@npm%3A4.0.0-next.6#./.yarn/patches/typedoc-plugin-markdown-npm-4.0.0-next.6-96b4b47746.patch",
     "voy-search@0.6.2": "patch:voy-search@npm%3A0.6.2#./.yarn/patches/voy-search-npm-0.6.2-d4aca30a0e.patch",
     "@langchain/core": "workspace:*",
-    "better-sqlite3": "9.4.0",
     "protobufjs": "^7.2.5",
     "zod": "3.23.8"
   },
diff --git a/yarn.lock b/yarn.lock
index 1f7b98b5f78c..140c9d4a4bf7 100644
--- a/yarn.lock
+++ b/yarn.lock
@@ -11261,7 +11261,7 @@ __metadata:
     "@zilliz/milvus2-sdk-node": ">=2.3.5"
     apify-client: ^2.7.1
     assemblyai: ^4.6.0
-    better-sqlite3: ">=9.4.0 <12.0.0"
+    better-sqlite3: 9.5.0
     binary-extensions: ^2.2.0
     cassandra-driver: ^4.7.2
     cborg: ^4.1.1
@@ -21453,14 +21453,14 @@ __metadata:
   languageName: node
   linkType: hard
 
-"better-sqlite3@npm:9.4.0":
-  version: 9.4.0
-  resolution: "better-sqlite3@npm:9.4.0"
+"better-sqlite3@npm:9.5.0":
+  version: 9.5.0
+  resolution: "better-sqlite3@npm:9.5.0"
   dependencies:
     bindings: ^1.5.0
     node-gyp: latest
     prebuild-install: ^7.1.1
-  checksum: a1a470fae20dfba82d6e74ae90b35ea8996c60922e95574162732d6e076e84c0c90fc4ff77ab8c27554671899eb15f284e2c8de5e4ee406aa9f7eb170eca5bee
+  checksum: cfa56519755d6dd29ef8361c872c6f29392fcfcc44a435099eb61729aae23c4f18057972592a0b9ff0fcedc98e43db4ee7a1a2de21ab2868f8dcec4f8272ad9d
   languageName: node
   linkType: hard
 

From 8c1396b3103ecbe77c0f52bbe7de1c2f37a0b6d2 Mon Sep 17 00:00:00 2001
From: Ben Burns <803016+benjamincburns@users.noreply.github.com>
Date: Thu, 5 Sep 2024 09:47:08 +1200
Subject: [PATCH 132/344] chore(community): Bump pyodide dev version and allow
 peer installs up to current latest (#6680)

---
 langchain/package.json |  4 ++--
 yarn.lock              | 20 ++++++--------------
 2 files changed, 8 insertions(+), 16 deletions(-)

diff --git a/langchain/package.json b/langchain/package.json
index 2ec614901958..19fc15d3660f 100644
--- a/langchain/package.json
+++ b/langchain/package.json
@@ -670,7 +670,7 @@
     "playwright": "^1.32.1",
     "prettier": "^2.8.3",
     "puppeteer": "^22.0.0",
-    "pyodide": "^0.24.1",
+    "pyodide": "^0.26.2",
     "redis": "^4.6.6",
     "release-it": "^17.6.0",
     "rimraf": "^5.0.1",
@@ -735,7 +735,7 @@
     "peggy": "^3.0.2",
     "playwright": "*",
     "puppeteer": "*",
-    "pyodide": "^0.24.1",
+    "pyodide": ">=0.24.1 <0.27.0",
     "redis": "*",
     "sonix-speech-recognition": "*",
     "srt-parser-2": "*",
diff --git a/yarn.lock b/yarn.lock
index 140c9d4a4bf7..a4ba31766201 100644
--- a/yarn.lock
+++ b/yarn.lock
@@ -21404,13 +21404,6 @@ __metadata:
   languageName: node
   linkType: hard
 
-"base-64@npm:^1.0.0":
-  version: 1.0.0
-  resolution: "base-64@npm:1.0.0"
-  checksum: d10b64a1fc9b2c5a5f39f1ce1e6c9d1c5b249222bbfa3a0604c592d90623caf74419983feadd8a170f27dc0c3389704f72faafa3e645aeb56bfc030c93ff074a
-  languageName: node
-  linkType: hard
-
 "base16@npm:^1.0.0":
   version: 1.0.0
   resolution: "base16@npm:1.0.0"
@@ -32279,7 +32272,7 @@ __metadata:
     playwright: ^1.32.1
     prettier: ^2.8.3
     puppeteer: ^22.0.0
-    pyodide: ^0.24.1
+    pyodide: ^0.26.2
     redis: ^4.6.6
     release-it: ^17.6.0
     rimraf: ^5.0.1
@@ -32347,7 +32340,7 @@ __metadata:
     peggy: ^3.0.2
     playwright: "*"
     puppeteer: "*"
-    pyodide: ^0.24.1
+    pyodide: ">=0.24.1 <0.27.0"
     redis: "*"
     sonix-speech-recognition: "*"
     srt-parser-2: "*"
@@ -37332,13 +37325,12 @@ __metadata:
   languageName: node
   linkType: hard
 
-"pyodide@npm:^0.24.1":
-  version: 0.24.1
-  resolution: "pyodide@npm:0.24.1"
+"pyodide@npm:^0.26.2":
+  version: 0.26.2
+  resolution: "pyodide@npm:0.26.2"
   dependencies:
-    base-64: ^1.0.0
     ws: ^8.5.0
-  checksum: ab18e5eed3195b919c0e70b39a81bab0449ab56e42f28e8635664e688dba732da060492505719c3cb477302979791dbcc1df09ff39dc9e0816064b69818f283d
+  checksum: f8b11470a69f82609af9e1a1b76905dfd5baa42f86ce5488c44b82271af46252006bb73639f8d89aee11b9fb07d1e9de037ff5472aa76f1b4ff4e9fe09d7e839
   languageName: node
   linkType: hard
 

From 8365a7f60c7d6e3bc3b44c2e19c01742ab0b7c87 Mon Sep 17 00:00:00 2001
From: Kerem Nalbant <43813768+keremnalbant@users.noreply.github.com>
Date: Thu, 5 Sep 2024 01:19:23 +0300
Subject: [PATCH 133/344] fix(community): Add support for Bedrock cross-region
 inference models (#6682)

Co-authored-by: jacoblee93 <jacoblee93@gmail.com>
---
 .../src/chat_models/bedrock/web.ts            | 60 ++++++++++++++-----
 .../src/llms/bedrock/web.ts                   | 56 +++++++++++++----
 .../src/llms/tests/bedrock.int.test.ts        | 22 +++++++
 3 files changed, 112 insertions(+), 26 deletions(-)

diff --git a/libs/langchain-community/src/chat_models/bedrock/web.ts b/libs/langchain-community/src/chat_models/bedrock/web.ts
index a2e78d67e711..69a0bb42eb8b 100644
--- a/libs/langchain-community/src/chat_models/bedrock/web.ts
+++ b/libs/langchain-community/src/chat_models/bedrock/web.ts
@@ -52,6 +52,28 @@ type AnthropicTool = Record<string, unknown>;
 
 type BedrockChatToolType = BindToolsInput | AnthropicTool;
 
+const AWS_REGIONS = [
+  "us",
+  "sa",
+  "me",
+  "il",
+  "eu",
+  "cn",
+  "ca",
+  "ap",
+  "af",
+  "us-gov",
+];
+
+const ALLOWED_MODEL_PROVIDERS = [
+  "ai21",
+  "anthropic",
+  "amazon",
+  "cohere",
+  "meta",
+  "mistral",
+];
+
 const PRELUDE_TOTAL_LENGTH_BYTES = 4;
 
 function convertOneMessageToText(
@@ -473,6 +495,8 @@ export class BedrockChat
 {
   model = "amazon.titan-tg1-large";
 
+  modelProvider: string;
+
   region: string;
 
   credentials: CredentialType;
@@ -545,17 +569,11 @@ export class BedrockChat
     super(fields ?? {});
 
     this.model = fields?.model ?? this.model;
-    const allowedModels = [
-      "ai21",
-      "anthropic",
-      "amazon",
-      "cohere",
-      "meta",
-      "mistral",
-    ];
-    if (!allowedModels.includes(this.model.split(".")[0])) {
+    this.modelProvider = getModelProvider(this.model);
+
+    if (!ALLOWED_MODEL_PROVIDERS.includes(this.modelProvider)) {
       throw new Error(
-        `Unknown model: '${this.model}', only these are supported: ${allowedModels}`
+        `Unknown model provider: '${this.modelProvider}', only these are supported: ${ALLOWED_MODEL_PROVIDERS}`
       );
     }
     const region =
@@ -655,7 +673,7 @@ export class BedrockChat
     const service = "bedrock-runtime";
     const endpointHost =
       this.endpointHost ?? `${service}.${this.region}.amazonaws.com`;
-    const provider = this.model.split(".")[0];
+    const provider = this.modelProvider;
     const response = await this._signedFetch(messages, options, {
       bedrockMethod: "invoke",
       endpointHost,
@@ -776,7 +794,7 @@ export class BedrockChat
     options: this["ParsedCallOptions"],
     runManager?: CallbackManagerForLLMRun
   ): AsyncGenerator<ChatGenerationChunk> {
-    const provider = this.model.split(".")[0];
+    const provider = this.modelProvider;
     const service = "bedrock-runtime";
 
     const endpointHost =
@@ -956,7 +974,7 @@ export class BedrockChat
     BaseMessageChunk,
     this["ParsedCallOptions"]
   > {
-    const provider = this.model.split(".")[0];
+    const provider = this.modelProvider;
     if (provider !== "anthropic") {
       throw new Error(
         "Currently, tool calling through Bedrock is only supported for Anthropic models."
@@ -977,7 +995,7 @@ function isChatGenerationChunk(
 }
 
 function canUseMessagesApi(model: string): boolean {
-  const modelProviderName = model.split(".")[0];
+  const modelProviderName = getModelProvider(model);
 
   if (
     modelProviderName === "anthropic" &&
@@ -999,6 +1017,20 @@ function canUseMessagesApi(model: string): boolean {
   return false;
 }
 
+function isInferenceModel(modelId: string): boolean {
+  const parts = modelId.split(".");
+  return AWS_REGIONS.some((region) => parts[0] === region);
+}
+
+function getModelProvider(modelId: string): string {
+  const parts = modelId.split(".");
+  if (isInferenceModel(modelId)) {
+    return parts[1];
+  } else {
+    return parts[0];
+  }
+}
+
 /**
  * @deprecated Use `BedrockChat` instead.
  */
diff --git a/libs/langchain-community/src/llms/bedrock/web.ts b/libs/langchain-community/src/llms/bedrock/web.ts
index 8f7a5791cda9..e2dc5d31df92 100644
--- a/libs/langchain-community/src/llms/bedrock/web.ts
+++ b/libs/langchain-community/src/llms/bedrock/web.ts
@@ -17,6 +17,28 @@ import {
 } from "../../utils/bedrock/index.js";
 import type { SerializedFields } from "../../load/map_keys.js";
 
+const AWS_REGIONS = [
+  "us",
+  "sa",
+  "me",
+  "il",
+  "eu",
+  "cn",
+  "ca",
+  "ap",
+  "af",
+  "us-gov",
+];
+
+const ALLOWED_MODEL_PROVIDERS = [
+  "ai21",
+  "anthropic",
+  "amazon",
+  "cohere",
+  "meta",
+  "mistral",
+];
+
 const PRELUDE_TOTAL_LENGTH_BYTES = 4;
 
 /**
@@ -31,6 +53,8 @@ const PRELUDE_TOTAL_LENGTH_BYTES = 4;
 export class Bedrock extends LLM implements BaseBedrockInput {
   model = "amazon.titan-tg1-large";
 
+  modelProvider: string;
+
   region: string;
 
   credentials: CredentialType;
@@ -84,17 +108,11 @@ export class Bedrock extends LLM implements BaseBedrockInput {
     super(fields ?? {});
 
     this.model = fields?.model ?? this.model;
-    const allowedModels = [
-      "ai21",
-      "anthropic",
-      "amazon",
-      "cohere",
-      "meta",
-      "mistral",
-    ];
-    if (!allowedModels.includes(this.model.split(".")[0])) {
+    this.modelProvider = getModelProvider(this.model);
+
+    if (!ALLOWED_MODEL_PROVIDERS.includes(this.modelProvider)) {
       throw new Error(
-        `Unknown model: '${this.model}', only these are supported: ${allowedModels}`
+        `Unknown model provider: '${this.modelProvider}', only these are supported: ${ALLOWED_MODEL_PROVIDERS}`
       );
     }
     const region =
@@ -141,7 +159,7 @@ export class Bedrock extends LLM implements BaseBedrockInput {
     const service = "bedrock-runtime";
     const endpointHost =
       this.endpointHost ?? `${service}.${this.region}.amazonaws.com`;
-    const provider = this.model.split(".")[0];
+    const provider = this.modelProvider;
     if (this.streaming) {
       const stream = this._streamResponseChunks(prompt, options, runManager);
       let finalResult: GenerationChunk | undefined;
@@ -246,7 +264,7 @@ export class Bedrock extends LLM implements BaseBedrockInput {
     options: this["ParsedCallOptions"],
     runManager?: CallbackManagerForLLMRun
   ): AsyncGenerator<GenerationChunk> {
-    const provider = this.model.split(".")[0];
+    const provider = this.modelProvider;
     const bedrockMethod =
       provider === "anthropic" ||
       provider === "cohere" ||
@@ -371,3 +389,17 @@ export class Bedrock extends LLM implements BaseBedrockInput {
     };
   }
 }
+
+function isInferenceModel(modelId: string): boolean {
+  const parts = modelId.split(".");
+  return AWS_REGIONS.some((region) => parts[0] === region);
+}
+
+function getModelProvider(modelId: string): string {
+  const parts = modelId.split(".");
+  if (isInferenceModel(modelId)) {
+    return parts[1];
+  } else {
+    return parts[0];
+  }
+}
diff --git a/libs/langchain-community/src/llms/tests/bedrock.int.test.ts b/libs/langchain-community/src/llms/tests/bedrock.int.test.ts
index b05c1c1f962c..9be73e5c8253 100644
--- a/libs/langchain-community/src/llms/tests/bedrock.int.test.ts
+++ b/libs/langchain-community/src/llms/tests/bedrock.int.test.ts
@@ -180,3 +180,25 @@ test("Test Bedrock LLM streaming: Claude-v2", async () => {
   }
   expect(chunks.length).toBeGreaterThan(1);
 });
+
+test("Test Bedrock LLM: Inference Models", async () => {
+  const region = process.env.BEDROCK_AWS_REGION!;
+  const model = "eu.anthropic.claude-3-5-sonnet-20240620-v1:0";
+  const prompt = "Human: What is your name?\n\nAssistant:";
+
+  const bedrock = new Bedrock({
+    maxTokens: 20,
+    region,
+    model,
+    maxRetries: 0,
+    credentials: {
+      accessKeyId: process.env.BEDROCK_AWS_ACCESS_KEY_ID!,
+      secretAccessKey: process.env.BEDROCK_AWS_SECRET_ACCESS_KEY!,
+      sessionToken: process.env.BEDROCK_AWS_SESSION_TOKEN,
+    },
+  });
+
+  const res = await bedrock.invoke(prompt);
+  expect(typeof res).toBe("string");
+  // console.log(res);
+});

From 3c007872514700562f62fe56ad2e216753988428 Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Wed, 4 Sep 2024 15:41:20 -0700
Subject: [PATCH 134/344] chore(community): Release 0.2.32 (#6692)

---
 libs/langchain-community/package.json | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/libs/langchain-community/package.json b/libs/langchain-community/package.json
index 87b1223ee396..a1276dab1c0f 100644
--- a/libs/langchain-community/package.json
+++ b/libs/langchain-community/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/community",
-  "version": "0.2.31",
+  "version": "0.2.32",
   "description": "Third-party integrations for LangChain.js",
   "type": "module",
   "engines": {

From 24b40fb93cc3e47f014577833f5036cf72770eab Mon Sep 17 00:00:00 2001
From: jacoblee93 <jacoblee93@gmail.com>
Date: Wed, 4 Sep 2024 15:45:39 -0700
Subject: [PATCH 135/344] Release 0.2.18

---
 langchain/package.json | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/langchain/package.json b/langchain/package.json
index 19fc15d3660f..91c99b175d6e 100644
--- a/langchain/package.json
+++ b/langchain/package.json
@@ -1,6 +1,6 @@
 {
   "name": "langchain",
-  "version": "0.2.17",
+  "version": "0.2.18",
   "description": "Typescript bindings for langchain",
   "type": "module",
   "engines": {

From 01a94728eab97e63e748b3c40419723292abd5d9 Mon Sep 17 00:00:00 2001
From: Roman <roman@tyshyk.me>
Date: Thu, 5 Sep 2024 01:10:31 +0200
Subject: [PATCH 136/344] fix(mongodb): mongodb storage mget must return
 undefined when key not exist (#6445)

Co-authored-by: Roman Tyshyk <roman.tyshyk@711media.de>
Co-authored-by: jacoblee93 <jacoblee93@gmail.com>
---
 libs/langchain-mongodb/src/storage.ts         | 15 ++++++---
 .../src/tests/storage.int.test.ts             | 32 +++++++++++--------
 2 files changed, 30 insertions(+), 17 deletions(-)

diff --git a/libs/langchain-mongodb/src/storage.ts b/libs/langchain-mongodb/src/storage.ts
index 528afbe5dbc8..0b3fd38b0174 100644
--- a/libs/langchain-mongodb/src/storage.ts
+++ b/libs/langchain-mongodb/src/storage.ts
@@ -35,7 +35,7 @@ export interface MongoDBStoreInput {
  * const store = new MongoDBStore({
  *   collection,
  * });
- * 
+ *
  * const docs = [
  *   [uuidv4(), "Dogs are tough."],
  *   [uuidv4(), "Cats are tough."],
@@ -97,11 +97,18 @@ export class MongoDBStore extends BaseStore<string, Uint8Array> {
       .toArray();
 
     const encoder = new TextEncoder();
-    return retrievedValues.map((value) => {
-      if (!("value" in value)) {
+    const valueMap = new Map(
+      retrievedValues.map((item) => [item[this.primaryKey], item])
+    );
+
+    return prefixedKeys.map((prefixedKey) => {
+      const value = valueMap.get(prefixedKey);
+
+      if (!value) {
         return undefined;
       }
-      if (value === undefined || value === null) {
+
+      if (!("value" in value)) {
         return undefined;
       } else if (typeof value.value === "object") {
         return encoder.encode(JSON.stringify(value.value));
diff --git a/libs/langchain-mongodb/src/tests/storage.int.test.ts b/libs/langchain-mongodb/src/tests/storage.int.test.ts
index 93aeb03a9f9d..a161f612f65a 100644
--- a/libs/langchain-mongodb/src/tests/storage.int.test.ts
+++ b/libs/langchain-mongodb/src/tests/storage.int.test.ts
@@ -43,18 +43,22 @@ test("MongoDBStore can set and retrieve", async () => {
       encoder.encode(doc[1]),
     ]);
     await store.mset(docsAsKVPairs);
-    const retrievedDocs = (await store.mget(docs.map((doc) => doc[0]))).flatMap(
-      (doc) => {
-        if (doc !== undefined) {
-          const decodedDoc = decoder.decode(doc);
-          const parsedDoc = JSON.parse(decodedDoc);
-          return [parsedDoc];
-        }
-        return [];
-      }
-    );
-
-    expect(retrievedDocs.sort()).toEqual(docs.map((doc) => doc[1]).sort());
+
+    const keysToRetrieve = docs.map((doc) => doc[0]);
+    keysToRetrieve.unshift("nonexistent_key_0");
+    keysToRetrieve.push("nonexistent_key_3");
+
+    const retrievedDocs = await store.mget(keysToRetrieve);
+    expect(retrievedDocs.length).toBe(keysToRetrieve.length);
+    // Check that the first item is undefined (nonexistent_key_0)
+    expect(retrievedDocs[0]).toBeUndefined();
+
+    // Check that the second and third items match the original docs
+    expect(decoder.decode(retrievedDocs[1])).toBe(docs[0][1]);
+    expect(decoder.decode(retrievedDocs[2])).toBe(docs[1][1]);
+
+    // Check that the last item is undefined (nonexistent_key_1)
+    expect(retrievedDocs[retrievedDocs.length - 1]).toBeUndefined();
   } finally {
     const keys = store.yieldKeys();
     const yieldedKeys = [];
@@ -104,7 +108,9 @@ test("MongoDBStore can delete", async () => {
 
     const retrievedDocs = await store.mget(docs.map((doc) => doc[0]));
 
-    expect(retrievedDocs.length).toBe(0);
+    expect(retrievedDocs.length).toBe(2);
+    const everyValueUndefined = retrievedDocs.every((v) => v === undefined);
+    expect(everyValueUndefined).toBe(true);
   } finally {
     const keys = store.yieldKeys();
     const yieldedKeys = [];

From 15b591607dfc14c78d62e5ef4eef24107f168a34 Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Wed, 4 Sep 2024 16:12:49 -0700
Subject: [PATCH 137/344] chore(mongodb): Release 0.0.6 (#6694)

---
 libs/langchain-mongodb/package.json | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/libs/langchain-mongodb/package.json b/libs/langchain-mongodb/package.json
index 0cca4d7d6006..a920176fa2e2 100644
--- a/libs/langchain-mongodb/package.json
+++ b/libs/langchain-mongodb/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/mongodb",
-  "version": "0.0.5",
+  "version": "0.0.6",
   "description": "Sample integration for LangChain.js",
   "type": "module",
   "engines": {

From e787d821b091fb373c48c9a1c07355b0b65b7ab2 Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Wed, 4 Sep 2024 16:30:41 -0700
Subject: [PATCH 138/344] fix(openai): Fix type import issue (#6695)

---
 libs/langchain-openai/package.json       |  2 +-
 libs/langchain-openai/src/chat_models.ts |  4 ++--
 yarn.lock                                | 28 +++++++++++++++++++-----
 3 files changed, 26 insertions(+), 8 deletions(-)

diff --git a/libs/langchain-openai/package.json b/libs/langchain-openai/package.json
index f4d9754b0877..0bd159f1b16f 100644
--- a/libs/langchain-openai/package.json
+++ b/libs/langchain-openai/package.json
@@ -37,7 +37,7 @@
   "dependencies": {
     "@langchain/core": ">=0.2.26 <0.3.0",
     "js-tiktoken": "^1.0.12",
-    "openai": "^4.55.0",
+    "openai": "^4.57.3",
     "zod": "^3.22.4",
     "zod-to-json-schema": "^3.22.3"
   },
diff --git a/libs/langchain-openai/src/chat_models.ts b/libs/langchain-openai/src/chat_models.ts
index f2219bd5a5d1..cf8cdfcd5e05 100644
--- a/libs/langchain-openai/src/chat_models.ts
+++ b/libs/langchain-openai/src/chat_models.ts
@@ -61,7 +61,6 @@ import type {
   ResponseFormatJSONObject,
   ResponseFormatJSONSchema,
 } from "openai/resources/shared";
-import { ParsedChatCompletion } from "openai/resources/beta/chat/completions.mjs";
 import type {
   AzureOpenAIInput,
   OpenAICallOptions,
@@ -1615,7 +1614,8 @@ export class ChatOpenAI<
   async betaParsedCompletionWithRetry(
     request: OpenAIClient.Chat.ChatCompletionCreateParamsNonStreaming,
     options?: OpenAICoreRequestOptions
-  ): Promise<ParsedChatCompletion<null>> {
+    // Avoid relying importing a beta type with no official entrypoint
+  ): Promise<ReturnType<OpenAIClient["beta"]["chat"]["completions"]["parse"]>> {
     const requestOptions = this._getClientOptions(options);
     return this.caller.call(async () => {
       try {
diff --git a/yarn.lock b/yarn.lock
index a4ba31766201..edaa48057750 100644
--- a/yarn.lock
+++ b/yarn.lock
@@ -12300,7 +12300,7 @@ __metadata:
     jest: ^29.5.0
     jest-environment-node: ^29.6.4
     js-tiktoken: ^1.0.12
-    openai: ^4.55.0
+    openai: ^4.57.3
     prettier: ^2.8.3
     release-it: ^17.6.0
     rimraf: ^5.0.1
@@ -19003,6 +19003,13 @@ __metadata:
   languageName: node
   linkType: hard
 
+"@types/qs@npm:^6.9.15":
+  version: 6.9.15
+  resolution: "@types/qs@npm:6.9.15"
+  checksum: 97d8208c2b82013b618e7a9fc14df6bd40a73e1385ac479b6896bafc7949a46201c15f42afd06e86a05e914f146f495f606b6fb65610cc60cf2e0ff743ec38a2
+  languageName: node
+  linkType: hard
+
 "@types/range-parser@npm:*":
   version: 1.2.4
   resolution: "@types/range-parser@npm:1.2.4"
@@ -35228,17 +35235,19 @@ __metadata:
   languageName: node
   linkType: hard
 
-"openai@npm:^4.55.0":
-  version: 4.55.0
-  resolution: "openai@npm:4.55.0"
+"openai@npm:^4.57.3":
+  version: 4.57.3
+  resolution: "openai@npm:4.57.3"
   dependencies:
     "@types/node": ^18.11.18
     "@types/node-fetch": ^2.6.4
+    "@types/qs": ^6.9.15
     abort-controller: ^3.0.0
     agentkeepalive: ^4.2.1
     form-data-encoder: 1.7.2
     formdata-node: ^4.3.2
     node-fetch: ^2.6.7
+    qs: ^6.10.3
   peerDependencies:
     zod: ^3.23.8
   peerDependenciesMeta:
@@ -35246,7 +35255,7 @@ __metadata:
       optional: true
   bin:
     openai: bin/cli
-  checksum: b2b1daa976516262e08e182ee982976a1dc615eebd250bbd71f4122740ebeeb207a20af6d35c718b67f1c3457196b524667a0c7fa417ab4e119020b5c1f5cd74
+  checksum: 6e8cef99975af5fd8e9a06685f05396a6fabecda38bd77fa62db4b7ea9bdfa0b4c762c5f74e99e42212af81f74f50748c5034bf78c9abcf74cc6eb984f3dcffa
   languageName: node
   linkType: hard
 
@@ -37361,6 +37370,15 @@ __metadata:
   languageName: node
   linkType: hard
 
+"qs@npm:^6.10.3":
+  version: 6.13.0
+  resolution: "qs@npm:6.13.0"
+  dependencies:
+    side-channel: ^1.0.6
+  checksum: e9404dc0fc2849245107108ce9ec2766cde3be1b271de0bf1021d049dc5b98d1a2901e67b431ac5509f865420a7ed80b7acb3980099fe1c118a1c5d2e1432ad8
+  languageName: node
+  linkType: hard
+
 "querystringify@npm:^2.1.1":
   version: 2.2.0
   resolution: "querystringify@npm:2.2.0"

From 2ec5184417208ace6a5e2005515484a45cb5adf6 Mon Sep 17 00:00:00 2001
From: Ion Prodan <ionprodan33@gmail.com>
Date: Thu, 5 Sep 2024 02:30:47 +0300
Subject: [PATCH 139/344] feat(openai): baseUrl for DallEAPIWrapper (#6685)

---
 libs/langchain-openai/src/tools/dalle.ts | 5 +++++
 1 file changed, 5 insertions(+)

diff --git a/libs/langchain-openai/src/tools/dalle.ts b/libs/langchain-openai/src/tools/dalle.ts
index 35d405807cc2..d3d45c6dba90 100644
--- a/libs/langchain-openai/src/tools/dalle.ts
+++ b/libs/langchain-openai/src/tools/dalle.ts
@@ -80,6 +80,10 @@ export interface DallEAPIWrapperParams extends ToolParams {
    * The organization to use
    */
   organization?: string;
+  /**
+   * The base URL of the OpenAI API.
+   */
+  baseUrl?: string;
 }
 
 /**
@@ -141,6 +145,7 @@ export class DallEAPIWrapper extends Tool {
       apiKey: openAIApiKey,
       organization,
       dangerouslyAllowBrowser: true,
+      baseUrl: fields?.baseUrl,
     };
     this.client = new OpenAIClient(clientConfig);
     this.model = fields?.model ?? fields?.modelName ?? this.model;

From d09af37072c542ab7f416f6de01f9a1fabce524d Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Wed, 4 Sep 2024 16:36:29 -0700
Subject: [PATCH 140/344] chore(openai): Release 0.2.10 (#6697)

---
 libs/langchain-openai/package.json | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/libs/langchain-openai/package.json b/libs/langchain-openai/package.json
index 0bd159f1b16f..838728fad470 100644
--- a/libs/langchain-openai/package.json
+++ b/libs/langchain-openai/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/openai",
-  "version": "0.2.9",
+  "version": "0.2.10",
   "description": "OpenAI integrations for LangChain.js",
   "type": "module",
   "engines": {

From 938fa72cfa17f02bae4d13b79c79938a3211db41 Mon Sep 17 00:00:00 2001
From: Brace Sproul <braceasproul@gmail.com>
Date: Wed, 4 Sep 2024 16:44:11 -0700
Subject: [PATCH 141/344] community[patch]: Relax webllm peer dep (#6696)

---
 libs/langchain-community/package.json |  4 ++--
 yarn.lock                             | 12 ++++++------
 2 files changed, 8 insertions(+), 8 deletions(-)

diff --git a/libs/langchain-community/package.json b/libs/langchain-community/package.json
index a1276dab1c0f..988f307255d0 100644
--- a/libs/langchain-community/package.json
+++ b/libs/langchain-community/package.json
@@ -83,7 +83,7 @@
     "@langchain/standard-tests": "0.0.0",
     "@layerup/layerup-security": "^1.5.12",
     "@mendable/firecrawl-js": "^0.0.36",
-    "@mlc-ai/web-llm": "0.2.46",
+    "@mlc-ai/web-llm": ">=0.2.62 <0.3.0",
     "@mozilla/readability": "^0.4.4",
     "@neondatabase/serverless": "^0.9.1",
     "@notionhq/client": "^2.2.10",
@@ -242,7 +242,7 @@
     "@langchain/langgraph": "*",
     "@layerup/layerup-security": "^1.5.12",
     "@mendable/firecrawl-js": "^0.0.13",
-    "@mlc-ai/web-llm": "0.2.46",
+    "@mlc-ai/web-llm": "*",
     "@mozilla/readability": "*",
     "@neondatabase/serverless": "*",
     "@notionhq/client": "^2.2.10",
diff --git a/yarn.lock b/yarn.lock
index edaa48057750..6a779f772556 100644
--- a/yarn.lock
+++ b/yarn.lock
@@ -11211,7 +11211,7 @@ __metadata:
     "@langchain/standard-tests": 0.0.0
     "@layerup/layerup-security": ^1.5.12
     "@mendable/firecrawl-js": ^0.0.36
-    "@mlc-ai/web-llm": 0.2.46
+    "@mlc-ai/web-llm": ">=0.2.62 <0.3.0"
     "@mozilla/readability": ^0.4.4
     "@neondatabase/serverless": ^0.9.1
     "@notionhq/client": ^2.2.10
@@ -11378,7 +11378,7 @@ __metadata:
     "@langchain/langgraph": "*"
     "@layerup/layerup-security": ^1.5.12
     "@mendable/firecrawl-js": ^0.0.13
-    "@mlc-ai/web-llm": 0.2.46
+    "@mlc-ai/web-llm": "*"
     "@mozilla/readability": "*"
     "@neondatabase/serverless": "*"
     "@notionhq/client": ^2.2.10
@@ -12776,12 +12776,12 @@ __metadata:
   languageName: node
   linkType: hard
 
-"@mlc-ai/web-llm@npm:0.2.46":
-  version: 0.2.46
-  resolution: "@mlc-ai/web-llm@npm:0.2.46"
+"@mlc-ai/web-llm@npm:>=0.2.62 <0.3.0":
+  version: 0.2.62
+  resolution: "@mlc-ai/web-llm@npm:0.2.62"
   dependencies:
     loglevel: ^1.9.1
-  checksum: 09c83a45d7f9351ae492d8704fe580868d0b46b640eca232ebc76d552f2ffad031c9c504a0d29f69122029478af270eeeda0800e7fb032b00c11dc1632e1ae11
+  checksum: 7ccb0842e3fe83156406e61e0172f2f07115c77669b37729499f52c120cc33acd000fc4619b30fb67ca7712246c9722af65e4fe208c2f4546e2882297d53293c
   languageName: node
   linkType: hard
 

From 68fbc883f8c3590cb61b0a0df16149f7b2ec122a Mon Sep 17 00:00:00 2001
From: ikalachy <baton4ik@gmail.com>
Date: Thu, 5 Sep 2024 20:19:47 +0300
Subject: [PATCH 142/344] langchain[patch]: Take all required fields into
 account for OpenAPI chain (#6700)

Co-authored-by: Brace Sproul <braceasproul@gmail.com>
---
 .../src/chains/openai_functions/openapi.ts    |  6 +++++-
 .../openai_functions/tests/openapi.test.ts    | 19 +++++++++++++++++++
 2 files changed, 24 insertions(+), 1 deletion(-)

diff --git a/langchain/src/chains/openai_functions/openapi.ts b/langchain/src/chains/openai_functions/openapi.ts
index 568ff7635a8c..8b867856f3d8 100644
--- a/langchain/src/chains/openai_functions/openapi.ts
+++ b/langchain/src/chains/openai_functions/openapi.ts
@@ -175,7 +175,11 @@ export function convertOpenAPISchemaToJSONSchema(
           openAPIProperty,
           spec
         );
-        if (openAPIProperty.required && jsonSchema.required !== undefined) {
+        if (
+          (openAPIProperty.required ||
+            schema.required?.includes(propertyName)) &&
+          jsonSchema.required !== undefined
+        ) {
           jsonSchema.required.push(propertyName);
         }
         return jsonSchema;
diff --git a/langchain/src/chains/openai_functions/tests/openapi.test.ts b/langchain/src/chains/openai_functions/tests/openapi.test.ts
index d18f755613ce..93243f163b91 100644
--- a/langchain/src/chains/openai_functions/tests/openapi.test.ts
+++ b/langchain/src/chains/openai_functions/tests/openapi.test.ts
@@ -46,6 +46,19 @@ test("Test convert OpenAPI params to JSON Schema", async () => {
                 },
               },
             },
+            {
+              name: "objectParamWithRequiredFields",
+              in: "query",
+              schema: {
+                type: "object",
+                required: ["fooRequired"],
+                properties: {
+                  fooRequired: {
+                    type: "string",
+                  },
+                },
+              },
+            },
             {
               name: "stringArrayParam",
               in: "query",
@@ -195,6 +208,12 @@ test("Test convert OpenAPI params to JSON Schema", async () => {
   expectType("string", typedObjectParamSchema.properties.foo);
   expectType("number", typedObjectParamSchema.properties.bar);
 
+  const objectParamWithRequiredFieldSchema = convertOpenAPISchemaToJSONSchema(
+    getParamSchema(createWidget, "objectParamWithRequiredFields"),
+    spec
+  ) as JsonSchema7ObjectType;
+  expect(objectParamWithRequiredFieldSchema.required).toContain("fooRequired");
+
   const stringArrayParamSchema = convertOpenAPISchemaToJSONSchema(
     getParamSchema(createWidget, "stringArrayParam"),
     spec

From a3d6aee5639f24563a476434cd9661980632c083 Mon Sep 17 00:00:00 2001
From: Brace Sproul <braceasproul@gmail.com>
Date: Fri, 6 Sep 2024 14:27:59 -0700
Subject: [PATCH 143/344] docs[minor]: Add state of agents survey to docs
 announcement bar (#6710)

---
 docs/core_docs/.gitignore           | 12 ++++++------
 docs/core_docs/docusaurus.config.js |  4 +++-
 2 files changed, 9 insertions(+), 7 deletions(-)

diff --git a/docs/core_docs/.gitignore b/docs/core_docs/.gitignore
index 39187a290670..ca1dd4efb878 100644
--- a/docs/core_docs/.gitignore
+++ b/docs/core_docs/.gitignore
@@ -240,18 +240,18 @@ docs/integrations/vectorstores/elasticsearch.md
 docs/integrations/vectorstores/elasticsearch.mdx
 docs/integrations/vectorstores/chroma.md
 docs/integrations/vectorstores/chroma.mdx
-docs/integrations/toolkits/vectorstore.md
-docs/integrations/toolkits/vectorstore.mdx
-docs/integrations/toolkits/sql.md
-docs/integrations/toolkits/sql.mdx
-docs/integrations/toolkits/openapi.md
-docs/integrations/toolkits/openapi.mdx
 docs/integrations/tools/tavily_search.md
 docs/integrations/tools/tavily_search.mdx
 docs/integrations/tools/exa_search.md
 docs/integrations/tools/exa_search.mdx
 docs/integrations/tools/duckduckgo_search.md
 docs/integrations/tools/duckduckgo_search.mdx
+docs/integrations/toolkits/vectorstore.md
+docs/integrations/toolkits/vectorstore.mdx
+docs/integrations/toolkits/sql.md
+docs/integrations/toolkits/sql.mdx
+docs/integrations/toolkits/openapi.md
+docs/integrations/toolkits/openapi.mdx
 docs/integrations/text_embedding/togetherai.md
 docs/integrations/text_embedding/togetherai.mdx
 docs/integrations/text_embedding/openai.md
diff --git a/docs/core_docs/docusaurus.config.js b/docs/core_docs/docusaurus.config.js
index b368b57a9d77..6e56cf2d1959 100644
--- a/docs/core_docs/docusaurus.config.js
+++ b/docs/core_docs/docusaurus.config.js
@@ -137,8 +137,10 @@ const config = {
     ({
       announcementBar: {
         content:
-          'LangChain 0.2 is out! Leave feedback on the v0.2 docs <a href="https://github.com/langchain-ai/langchainjs/discussions/5386">here</a>. You can view the v0.1 docs <a href="/v0.1/docs/get_started/introduction/">here</a>.',
+          'Share your thoughts on AI agents. <a target="_blank" href="https://langchain.typeform.com/state-of-agents">Take the 3-min survey</a>.',
         isCloseable: true,
+        backgroundColor: "rgba(53, 151, 147, 0.1)",
+        textColor: "rgb(53, 151, 147)",
       },
       prism: {
         theme: {

From 360dc174d2ee0d894be6eb586b063025678af471 Mon Sep 17 00:00:00 2001
From: Brace Sproul <braceasproul@gmail.com>
Date: Fri, 6 Sep 2024 16:51:42 -0700
Subject: [PATCH 144/344] anthropic[patch]: Fix passing cache control through
 in messages (#6711)

---
 .../src/tests/chat_models.int.test.ts         | 46 ++++++++++++++++++-
 .../src/utils/message_inputs.ts               |  6 +++
 2 files changed, 50 insertions(+), 2 deletions(-)

diff --git a/libs/langchain-anthropic/src/tests/chat_models.int.test.ts b/libs/langchain-anthropic/src/tests/chat_models.int.test.ts
index d6864e92aa3d..7d823727fc17 100644
--- a/libs/langchain-anthropic/src/tests/chat_models.int.test.ts
+++ b/libs/langchain-anthropic/src/tests/chat_models.int.test.ts
@@ -393,8 +393,7 @@ test("id is supplied when streaming", async () => {
   expect(finalChunk.id).not.toEqual("");
 });
 
-test("system prompt caching", async () => {
-  const CACHED_TEXT = `## Components
+const CACHED_TEXT = `## Components
 
 LangChain provides standard, extendable interfaces and external integrations for various components useful for building with LLMs.
 Some components LangChain implements, some components we rely on third-party integrations for, and others are a mix.
@@ -655,6 +654,7 @@ LangChain has many different types of output parsers. This is a list of output p
 
 The current date is ${new Date().toISOString()}`;
 
+test("system prompt caching", async () => {
   const model = new ChatAnthropic({
     model: "claude-3-haiku-20240307",
     clientOptions: {
@@ -749,3 +749,45 @@ test.skip("Test ChatAnthropic with custom client", async () => {
   // console.log({ res });
   expect(res.response_metadata.usage).toBeDefined();
 });
+
+test("human message caching", async () => {
+  const model = new ChatAnthropic({
+    model: "claude-3-haiku-20240307",
+    clientOptions: {
+      defaultHeaders: {
+        "anthropic-beta": "prompt-caching-2024-07-31",
+      },
+    },
+  });
+
+  const messages = [
+    new SystemMessage({
+      content: [
+        {
+          type: "text",
+          text: `You are a pirate. Always respond in pirate dialect.\nUse the following as context when answering questions: ${CACHED_TEXT}`,
+        },
+      ],
+    }),
+    new HumanMessage({
+      content: [
+        {
+          type: "text",
+          text: "What types of messages are supported in LangChain?",
+          cache_control: { type: "ephemeral" },
+        },
+      ],
+    }),
+  ];
+
+  const res = await model.invoke(messages);
+  expect(
+    res.response_metadata.usage.cache_creation_input_tokens
+  ).toBeGreaterThan(0);
+  expect(res.response_metadata.usage.cache_read_input_tokens).toBe(0);
+  const res2 = await model.invoke(messages);
+  expect(res2.response_metadata.usage.cache_creation_input_tokens).toBe(0);
+  expect(res2.response_metadata.usage.cache_read_input_tokens).toBeGreaterThan(
+    0
+  );
+});
diff --git a/libs/langchain-anthropic/src/utils/message_inputs.ts b/libs/langchain-anthropic/src/utils/message_inputs.ts
index b6fe6523df4a..b32786e43f02 100644
--- a/libs/langchain-anthropic/src/utils/message_inputs.ts
+++ b/libs/langchain-anthropic/src/utils/message_inputs.ts
@@ -122,6 +122,9 @@ function _formatContent(content: MessageContent) {
     return content;
   } else {
     const contentBlocks = content.map((contentPart) => {
+      const cacheControl =
+        "cache_control" in contentPart ? contentPart.cache_control : undefined;
+
       if (contentPart.type === "image_url") {
         let source;
         if (typeof contentPart.image_url === "string") {
@@ -132,6 +135,7 @@ function _formatContent(content: MessageContent) {
         return {
           type: "image" as const, // Explicitly setting the type as "image"
           source,
+          ...(cacheControl ? { cache_control: cacheControl } : {}),
         };
       } else if (
         textTypes.find((t) => t === contentPart.type) &&
@@ -141,6 +145,7 @@ function _formatContent(content: MessageContent) {
         return {
           type: "text" as const, // Explicitly setting the type as "text"
           text: contentPart.text,
+          ...(cacheControl ? { cache_control: cacheControl } : {}),
         };
       } else if (toolTypes.find((t) => t === contentPart.type)) {
         const contentPartCopy = { ...contentPart };
@@ -167,6 +172,7 @@ function _formatContent(content: MessageContent) {
         // TODO: Fix when SDK types are fixed
         return {
           ...contentPartCopy,
+          ...(cacheControl ? { cache_control: cacheControl } : {}),
           // eslint-disable-next-line @typescript-eslint/no-explicit-any
         } as any;
       } else {

From 3b9d7a1ba57d0c16dc1eaa86955a55ad24eaa876 Mon Sep 17 00:00:00 2001
From: Brace Sproul <braceasproul@gmail.com>
Date: Fri, 6 Sep 2024 16:56:26 -0700
Subject: [PATCH 145/344] anthropic[minor]: Allow different tool types to be
 bound (#6712)

---
 libs/langchain-anthropic/src/chat_models.ts   | 61 +++++++++----------
 .../src/tests/chat_models-tools.int.test.ts   | 27 ++++++++
 2 files changed, 55 insertions(+), 33 deletions(-)

diff --git a/libs/langchain-anthropic/src/chat_models.ts b/libs/langchain-anthropic/src/chat_models.ts
index 1d561194faa7..c8edf3c17d0d 100644
--- a/libs/langchain-anthropic/src/chat_models.ts
+++ b/libs/langchain-anthropic/src/chat_models.ts
@@ -14,7 +14,6 @@ import {
 import {
   type StructuredOutputMethodOptions,
   type BaseLanguageModelInput,
-  type ToolDefinition,
   isOpenAITool,
 } from "@langchain/core/language_models/base";
 import { zodToJsonSchema } from "zod-to-json-schema";
@@ -682,7 +681,6 @@ export class ChatAnthropicMessages<
    *
    * @param {ChatAnthropicCallOptions["tools"]} tools The tools to format
    * @returns {AnthropicTool[] | undefined} The formatted tools, or undefined if none are passed.
-   * @throws {Error} If a mix of AnthropicTools and StructuredTools are passed.
    */
   formatStructuredToolToAnthropic(
     tools: ChatAnthropicCallOptions["tools"]
@@ -690,37 +688,34 @@ export class ChatAnthropicMessages<
     if (!tools || !tools.length) {
       return undefined;
     }
-
-    // eslint-disable-next-line @typescript-eslint/no-explicit-any
-    if ((tools as any[]).every((tool) => isAnthropicTool(tool))) {
-      // If the tool is already an anthropic tool, return it
-      return tools as AnthropicTool[];
-    }
-
-    // eslint-disable-next-line @typescript-eslint/no-explicit-any
-    if ((tools as any[]).every((tool) => isOpenAITool(tool))) {
-      // Formatted as OpenAI tool, convert to Anthropic tool
-      return (tools as ToolDefinition[]).map((tc) => ({
-        name: tc.function.name,
-        description: tc.function.description,
-        input_schema: tc.function.parameters as AnthropicTool.InputSchema,
-      }));
-    }
-
-    // eslint-disable-next-line @typescript-eslint/no-explicit-any
-    if ((tools as any[]).some((tool) => isAnthropicTool(tool))) {
-      throw new Error(`Can not pass in a mix of tool schemas to ChatAnthropic`);
-    }
-
-    if (tools.every(isLangChainTool)) {
-      return tools.map((t) => ({
-        name: t.name,
-        description: t.description,
-        input_schema: zodToJsonSchema(t.schema) as AnthropicTool.InputSchema,
-      }));
-    }
-
-    throw new Error("Unsupported tool type passed to ChatAnthropic");
+    return tools.map((tool) => {
+      if (isAnthropicTool(tool)) {
+        return tool;
+      }
+      if (isOpenAITool(tool)) {
+        return {
+          name: tool.function.name,
+          description: tool.function.description,
+          input_schema: tool.function.parameters as AnthropicTool.InputSchema,
+        };
+      }
+      if (isLangChainTool(tool)) {
+        return {
+          name: tool.name,
+          description: tool.description,
+          input_schema: zodToJsonSchema(
+            tool.schema
+          ) as AnthropicTool.InputSchema,
+        };
+      }
+      throw new Error(
+        `Unknown tool type passed to ChatAnthropic: ${JSON.stringify(
+          tool,
+          null,
+          2
+        )}`
+      );
+    });
   }
 
   override bindTools(
diff --git a/libs/langchain-anthropic/src/tests/chat_models-tools.int.test.ts b/libs/langchain-anthropic/src/tests/chat_models-tools.int.test.ts
index 7cd53c99a8b6..645f9304b07e 100644
--- a/libs/langchain-anthropic/src/tests/chat_models-tools.int.test.ts
+++ b/libs/langchain-anthropic/src/tests/chat_models-tools.int.test.ts
@@ -461,3 +461,30 @@ test("streaming with structured output", async () => {
   }
   expect(typeof finalChunk2).toEqual("object");
 });
+
+test("Can bound and invoke different tool types", async () => {
+  const langchainTool = {
+    name: "get_weather_lc",
+    description: "Get the weather of a specific location.",
+    schema: zodSchema,
+  };
+  const openaiTool = {
+    type: "function",
+    function: {
+      name: "get_weather_oai",
+      description: "Get the weather of a specific location.",
+      parameters: zodToJsonSchema(zodSchema),
+    },
+  };
+  const anthropicTool = {
+    name: "get_weather_ant",
+    description: "Get the weather of a specific location.",
+    input_schema: zodToJsonSchema(zodSchema),
+  };
+  const tools = [langchainTool, openaiTool, anthropicTool];
+  const modelWithTools = model.bindTools(tools);
+  const result = await modelWithTools.invoke(
+    "Whats the current weather in san francisco?"
+  );
+  expect(result.tool_calls?.length).toBeGreaterThanOrEqual(1);
+});

From c8688a252c986da397f58be770ba0c5590f980ba Mon Sep 17 00:00:00 2001
From: Brace Sproul <braceasproul@gmail.com>
Date: Fri, 6 Sep 2024 17:00:05 -0700
Subject: [PATCH 146/344] anthropic[patch]: Release 0.2.17 (#6713)

---
 libs/langchain-anthropic/package.json | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/libs/langchain-anthropic/package.json b/libs/langchain-anthropic/package.json
index 10e91c070907..2bce3129b107 100644
--- a/libs/langchain-anthropic/package.json
+++ b/libs/langchain-anthropic/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/anthropic",
-  "version": "0.2.16",
+  "version": "0.2.17",
   "description": "Anthropic integrations for LangChain.js",
   "type": "module",
   "engines": {

From 3446b9c4e9c1c135aba56f3b63ad2ab0c271d391 Mon Sep 17 00:00:00 2001
From: Tommy <spielhoelle@posteo.net>
Date: Sat, 7 Sep 2024 09:48:49 +0900
Subject: [PATCH 147/344] docs[patch]: fix chroma distance function reference
 link (#6714)

---
 examples/src/indexes/vector_stores/chroma/fromDocs.ts | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/examples/src/indexes/vector_stores/chroma/fromDocs.ts b/examples/src/indexes/vector_stores/chroma/fromDocs.ts
index d8f99030c45b..472f2dcdad8f 100644
--- a/examples/src/indexes/vector_stores/chroma/fromDocs.ts
+++ b/examples/src/indexes/vector_stores/chroma/fromDocs.ts
@@ -12,7 +12,7 @@ const vectorStore = await Chroma.fromDocuments(docs, new OpenAIEmbeddings(), {
   url: "http://localhost:8000", // Optional, will default to this value
   collectionMetadata: {
     "hnsw:space": "cosine",
-  }, // Optional, can be used to specify the distance method of the embedding space https://docs.trychroma.com/usage-guide#changing-the-distance-function
+  }, // Optional, can be used to specify the distance method of the embedding space https://docs.trychroma.com/guides#changing-the-distance-function
 });
 
 // Search for the most similar document

From 2b6872b649a1b3c08c1d8ac337236a43be0614c4 Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Tue, 10 Sep 2024 11:17:29 -0700
Subject: [PATCH 148/344] fix(core): Pin TypeScript version for now for export
 test failures, add asyncDispose (#6723)

---
 environment_tests/test-exports-tsc/main.ts      |  4 ++--
 environment_tests/test-exports-tsc/package.json |  5 +----
 langchain-core/src/utils/stream.ts              | 14 +++++++++++++-
 3 files changed, 16 insertions(+), 7 deletions(-)

diff --git a/environment_tests/test-exports-tsc/main.ts b/environment_tests/test-exports-tsc/main.ts
index 861bbf86c2db..2303896a168f 100644
--- a/environment_tests/test-exports-tsc/main.ts
+++ b/environment_tests/test-exports-tsc/main.ts
@@ -1,5 +1,5 @@
 import { ChatOpenAI } from "@langchain/openai";
-import { createOpenAIFunctionsAgent, AgentExecutor } from "langchain/agents";
+import { createOpenAIToolsAgent, AgentExecutor } from "langchain/agents";
 import { pull } from "langchain/hub";
 import type { ChatPromptTemplate } from "@langchain/core/prompts";
 
@@ -11,7 +11,7 @@ const prompt = await pull<ChatPromptTemplate>(
   "hwchase17/openai-functions-agent"
 );
 
-const agent = await createOpenAIFunctionsAgent({
+const agent = await createOpenAIToolsAgent({
   llm: model,
   prompt,
   tools: []
diff --git a/environment_tests/test-exports-tsc/package.json b/environment_tests/test-exports-tsc/package.json
index 812e01a2516c..0facd117bf18 100644
--- a/environment_tests/test-exports-tsc/package.json
+++ b/environment_tests/test-exports-tsc/package.json
@@ -20,13 +20,10 @@
     "@langchain/core": "workspace:*",
     "@langchain/openai": "workspace:*",
     "langchain": "workspace:*",
-    "typescript": "latest"
+    "typescript": "5.5.4"
   },
   "devDependencies": {
     "@types/node": "^18.15.11",
     "prettier": "^2.8.3"
-  },
-  "resolutions": {
-    "@langchain/core": "~0.2.0"
   }
 }
diff --git a/langchain-core/src/utils/stream.ts b/langchain-core/src/utils/stream.ts
index 91a9810e2d25..aa9db0604637 100644
--- a/langchain-core/src/utils/stream.ts
+++ b/langchain-core/src/utils/stream.ts
@@ -71,6 +71,12 @@ export class IterableReadableStream<T>
     return this;
   }
 
+  // eslint-disable-next-line @typescript-eslint/ban-ts-comment
+  // @ts-ignore Not present in Node 18 types, required in latest Node 22
+  async [Symbol.asyncDispose]() {
+    await this.return();
+  }
+
   static fromReadableStream<T>(stream: ReadableStream<T>) {
     // From https://developer.mozilla.org/en-US/docs/Web/API/Streams_API/Using_readable_streams#reading_the_stream
     const reader = stream.getReader();
@@ -245,7 +251,7 @@ export class AsyncGeneratorWithSetup<
   }
 
   async return(
-    value: TReturn | PromiseLike<TReturn>
+    value?: TReturn | PromiseLike<TReturn>
   ): Promise<IteratorResult<T>> {
     return this.generator.return(value);
   }
@@ -257,6 +263,12 @@ export class AsyncGeneratorWithSetup<
   [Symbol.asyncIterator]() {
     return this;
   }
+
+  // eslint-disable-next-line @typescript-eslint/ban-ts-comment
+  // @ts-ignore Not present in Node 18 types, required in latest Node 22
+  async [Symbol.asyncDispose]() {
+    await this.return();
+  }
 }
 
 export async function pipeGeneratorWithSetup<

From d89745cf0f3e21fd41f2fcfbddf59abd7b95734e Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Tue, 10 Sep 2024 11:33:09 -0700
Subject: [PATCH 149/344] feat(core,openai): Adds streaming support for OpenAI
 withStructuredOutput (#6721)

---
 langchain-core/src/messages/ai.ts             |   4 +
 .../openai_tools/json_output_tools_parsers.ts | 122 +++++++++++----
 .../tests/json_output_tools_parser.test.ts    | 145 +++++++++++++++++-
 .../src/output_parsers/transform.ts           |   4 +
 .../chat_models_structured_output.int.test.ts |  86 +++++++----
 5 files changed, 304 insertions(+), 57 deletions(-)

diff --git a/langchain-core/src/messages/ai.ts b/langchain-core/src/messages/ai.ts
index 9c542af4e28b..c8a5311f040c 100644
--- a/langchain-core/src/messages/ai.ts
+++ b/langchain-core/src/messages/ai.ts
@@ -143,6 +143,10 @@ export function isAIMessage(x: BaseMessage): x is AIMessage {
   return x._getType() === "ai";
 }
 
+export function isAIMessageChunk(x: BaseMessageChunk): x is AIMessageChunk {
+  return x._getType() === "ai";
+}
+
 export type AIMessageChunkFields = AIMessageFields & {
   tool_call_chunks?: ToolCallChunk[];
 };
diff --git a/langchain-core/src/output_parsers/openai_tools/json_output_tools_parsers.ts b/langchain-core/src/output_parsers/openai_tools/json_output_tools_parsers.ts
index fad6f82206a5..fe7987617d60 100644
--- a/langchain-core/src/output_parsers/openai_tools/json_output_tools_parsers.ts
+++ b/langchain-core/src/output_parsers/openai_tools/json_output_tools_parsers.ts
@@ -1,8 +1,13 @@
 import { z } from "zod";
-import { ChatGeneration } from "../../outputs.js";
-import { BaseLLMOutputParser, OutputParserException } from "../base.js";
+import { ChatGeneration, ChatGenerationChunk } from "../../outputs.js";
+import { OutputParserException } from "../base.js";
 import { parsePartialJson } from "../json.js";
 import { InvalidToolCall, ToolCall } from "../../messages/tool.js";
+import {
+  BaseCumulativeTransformOutputParser,
+  BaseCumulativeTransformOutputParserInput,
+} from "../transform.js";
+import { isAIMessage } from "../../messages/ai.js";
 
 export type ParsedToolCall = {
   id?: string;
@@ -23,7 +28,7 @@ export type ParsedToolCall = {
 export type JsonOutputToolsParserParams = {
   /** Whether to return the tool call id. */
   returnId?: boolean;
-};
+} & BaseCumulativeTransformOutputParserInput;
 
 export function parseToolCall(
   // eslint-disable-next-line @typescript-eslint/no-explicit-any
@@ -35,6 +40,11 @@ export function parseToolCall(
   rawToolCall: Record<string, any>,
   options?: { returnId?: boolean; partial?: false }
 ): ToolCall;
+export function parseToolCall(
+  // eslint-disable-next-line @typescript-eslint/no-explicit-any
+  rawToolCall: Record<string, any>,
+  options?: { returnId?: boolean; partial?: boolean }
+): ToolCall | undefined;
 export function parseToolCall(
   // eslint-disable-next-line @typescript-eslint/no-explicit-any
   rawToolCall: Record<string, any>,
@@ -112,9 +122,9 @@ export function makeInvalidToolCall(
 /**
  * Class for parsing the output of a tool-calling LLM into a JSON object.
  */
-export class JsonOutputToolsParser extends BaseLLMOutputParser<
-  ParsedToolCall[]
-> {
+export class JsonOutputToolsParser<
+  T
+> extends BaseCumulativeTransformOutputParser<T> {
   static lc_name() {
     return "JsonOutputToolsParser";
   }
@@ -130,31 +140,64 @@ export class JsonOutputToolsParser extends BaseLLMOutputParser<
     this.returnId = fields?.returnId ?? this.returnId;
   }
 
+  protected _diff() {
+    throw new Error("Not supported.");
+  }
+
+  async parse(): Promise<T> {
+    throw new Error("Not implemented.");
+  }
+
+  async parseResult(generations: ChatGeneration[]): Promise<T> {
+    const result = await this.parsePartialResult(generations, false);
+    return result;
+  }
+
   /**
    * Parses the output and returns a JSON object. If `argsOnly` is true,
    * only the arguments of the function call are returned.
    * @param generations The output of the LLM to parse.
    * @returns A JSON object representation of the function call or its arguments.
    */
-  async parseResult(generations: ChatGeneration[]): Promise<ParsedToolCall[]> {
-    const toolCalls = generations[0].message.additional_kwargs.tool_calls;
-    if (!toolCalls) {
-      throw new Error(
-        `No tools_call in message ${JSON.stringify(generations)}`
+  async parsePartialResult(
+    generations: ChatGenerationChunk[] | ChatGeneration[],
+    partial = true
+    // eslint-disable-next-line @typescript-eslint/no-explicit-any
+  ): Promise<any> {
+    const message = generations[0].message;
+    let toolCalls;
+    if (isAIMessage(message) && message.tool_calls?.length) {
+      toolCalls = message.tool_calls.map((toolCall) => {
+        const { id, ...rest } = toolCall;
+        if (!this.returnId) {
+          return rest;
+        }
+        return {
+          id,
+          ...rest,
+        };
+      });
+    } else if (message.additional_kwargs.tool_calls !== undefined) {
+      const rawToolCalls = JSON.parse(
+        JSON.stringify(message.additional_kwargs.tool_calls)
       );
+      toolCalls = rawToolCalls.map((rawToolCall: Record<string, unknown>) => {
+        return parseToolCall(rawToolCall, { returnId: this.returnId, partial });
+      });
+    }
+    if (!toolCalls) {
+      return [];
     }
-    const clonedToolCalls = JSON.parse(JSON.stringify(toolCalls));
     const parsedToolCalls = [];
-    for (const toolCall of clonedToolCalls) {
-      const parsedToolCall = parseToolCall(toolCall, { partial: true });
-      if (parsedToolCall !== undefined) {
+    for (const toolCall of toolCalls) {
+      if (toolCall !== undefined) {
         // backward-compatibility with previous
         // versions of Langchain JS, which uses `name` and `arguments`
         // @ts-expect-error name and arguemnts are defined by Object.defineProperty
         const backwardsCompatibleToolCall: ParsedToolCall = {
-          type: parsedToolCall.name,
-          args: parsedToolCall.args,
-          id: parsedToolCall.id,
+          type: toolCall.name,
+          args: toolCall.args,
+          id: toolCall.id,
         };
         Object.defineProperty(backwardsCompatibleToolCall, "name", {
           get() {
@@ -180,10 +223,8 @@ export type JsonOutputKeyToolsParserParams<
 > = {
   keyName: string;
   returnSingle?: boolean;
-  /** Whether to return the tool call id. */
-  returnId?: boolean;
   zodSchema?: z.ZodType<T>;
-};
+} & JsonOutputToolsParserParams;
 
 /**
  * Class for parsing the output of a tool-calling LLM into a JSON object if you are
@@ -192,7 +233,7 @@ export type JsonOutputKeyToolsParserParams<
 export class JsonOutputKeyToolsParser<
   // eslint-disable-next-line @typescript-eslint/no-explicit-any
   T extends Record<string, any> = Record<string, any>
-> extends BaseLLMOutputParser<T> {
+> extends JsonOutputToolsParser<T> {
   static lc_name() {
     return "JsonOutputKeyToolsParser";
   }
@@ -209,15 +250,12 @@ export class JsonOutputKeyToolsParser<
   /** Whether to return only the first tool call. */
   returnSingle = false;
 
-  initialParser: JsonOutputToolsParser;
-
   zodSchema?: z.ZodType<T>;
 
   constructor(params: JsonOutputKeyToolsParserParams<T>) {
     super(params);
     this.keyName = params.keyName;
     this.returnSingle = params.returnSingle ?? this.returnSingle;
-    this.initialParser = new JsonOutputToolsParser(params);
     this.zodSchema = params.zodSchema;
   }
 
@@ -240,17 +278,45 @@ export class JsonOutputKeyToolsParser<
     }
   }
 
+  // eslint-disable-next-line @typescript-eslint/no-explicit-any
+  async parsePartialResult(generations: ChatGeneration[]): Promise<any> {
+    const results = await super.parsePartialResult(generations);
+    const matchingResults = results.filter(
+      (result: ParsedToolCall) => result.type === this.keyName
+    );
+    // eslint-disable-next-line @typescript-eslint/no-explicit-any
+    let returnedValues: ParsedToolCall[] | Record<string, any>[] =
+      matchingResults;
+    if (!matchingResults.length) {
+      return undefined;
+    }
+    if (!this.returnId) {
+      returnedValues = matchingResults.map(
+        (result: ParsedToolCall) => result.args
+      );
+    }
+    if (this.returnSingle) {
+      return returnedValues[0];
+    }
+    return returnedValues;
+  }
+
   // eslint-disable-next-line @typescript-eslint/no-explicit-any
   async parseResult(generations: ChatGeneration[]): Promise<any> {
-    const results = await this.initialParser.parseResult(generations);
+    const results = await super.parsePartialResult(generations, false);
     const matchingResults = results.filter(
-      (result) => result.type === this.keyName
+      (result: ParsedToolCall) => result.type === this.keyName
     );
     // eslint-disable-next-line @typescript-eslint/no-explicit-any
     let returnedValues: ParsedToolCall[] | Record<string, any>[] =
       matchingResults;
+    if (!matchingResults.length) {
+      return undefined;
+    }
     if (!this.returnId) {
-      returnedValues = matchingResults.map((result) => result.args);
+      returnedValues = matchingResults.map(
+        (result: ParsedToolCall) => result.args
+      );
     }
     if (this.returnSingle) {
       return this._validateResult(returnedValues[0]);
diff --git a/langchain-core/src/output_parsers/openai_tools/tests/json_output_tools_parser.test.ts b/langchain-core/src/output_parsers/openai_tools/tests/json_output_tools_parser.test.ts
index bffe7e0249af..131a4d59dd39 100644
--- a/langchain-core/src/output_parsers/openai_tools/tests/json_output_tools_parser.test.ts
+++ b/langchain-core/src/output_parsers/openai_tools/tests/json_output_tools_parser.test.ts
@@ -1,8 +1,10 @@
+/* eslint-disable @typescript-eslint/no-explicit-any */
 import { test, expect } from "@jest/globals";
 import { z } from "zod";
 import { JsonOutputKeyToolsParser } from "../json_output_tools_parsers.js";
-import { AIMessage } from "../../../messages/index.js";
 import { OutputParserException } from "../../base.js";
+import { AIMessage, AIMessageChunk } from "../../../messages/ai.js";
+import { RunnableLambda } from "../../../runnables/base.js";
 
 test("JSONOutputKeyToolsParser invoke", async () => {
   const outputParser = new JsonOutputKeyToolsParser({
@@ -87,3 +89,144 @@ test("JSONOutputKeyToolsParser can validate a proper input", async () => {
   );
   expect(result).toEqual({ testKey: "testval" });
 });
+
+test("JSONOutputKeyToolsParser invoke with a top-level tool call", async () => {
+  const outputParser = new JsonOutputKeyToolsParser({
+    keyName: "testing",
+    returnSingle: true,
+  });
+  const result = await outputParser.invoke(
+    new AIMessage({
+      content: "",
+      tool_calls: [
+        {
+          id: "test",
+          name: "testing",
+          args: { testKey: 9 },
+        },
+      ],
+    })
+  );
+  expect(result).toEqual({ testKey: 9 });
+});
+
+test("JSONOutputKeyToolsParser with a top-level tool call and passed schema throws", async () => {
+  const outputParser = new JsonOutputKeyToolsParser({
+    keyName: "testing",
+    returnSingle: true,
+    zodSchema: z.object({
+      testKey: z.string(),
+    }),
+  });
+  try {
+    await outputParser.invoke(
+      new AIMessage({
+        content: "",
+        tool_calls: [
+          {
+            id: "test",
+            name: "testing",
+            args: { testKey: 9 },
+          },
+        ],
+      })
+    );
+  } catch (e) {
+    expect(e).toBeInstanceOf(OutputParserException);
+  }
+});
+
+test("JSONOutputKeyToolsParser with a top-level tool call can validate a proper input", async () => {
+  const outputParser = new JsonOutputKeyToolsParser({
+    keyName: "testing",
+    returnSingle: true,
+    zodSchema: z.object({
+      testKey: z.string(),
+    }),
+  });
+  const result = await outputParser.invoke(
+    new AIMessage({
+      content: "",
+      tool_calls: [
+        {
+          id: "test",
+          name: "testing",
+          args: { testKey: "testval" },
+        },
+      ],
+    })
+  );
+  expect(result).toEqual({ testKey: "testval" });
+});
+
+test("JSONOutputKeyToolsParser can handle streaming input", async () => {
+  const outputParser = new JsonOutputKeyToolsParser({
+    keyName: "testing",
+    returnSingle: true,
+    zodSchema: z.object({
+      testKey: z.string(),
+    }),
+  });
+  const fakeModel = RunnableLambda.from(async function* () {
+    yield new AIMessageChunk({
+      content: "",
+      tool_call_chunks: [
+        {
+          index: 0,
+          id: "test",
+          name: "testing",
+          args: `{ "testKey":`,
+          type: "tool_call_chunk",
+        },
+      ],
+    });
+    yield new AIMessageChunk({
+      content: "",
+      tool_call_chunks: [],
+    });
+    yield new AIMessageChunk({
+      content: "",
+      tool_call_chunks: [
+        {
+          index: 0,
+          id: "test",
+          args: ` "testv`,
+          type: "tool_call_chunk",
+        },
+      ],
+    });
+    yield new AIMessageChunk({
+      content: "",
+      tool_call_chunks: [
+        {
+          index: 0,
+          id: "test",
+          args: `al" }`,
+          type: "tool_call_chunk",
+        },
+      ],
+    });
+  });
+  const stream = await (fakeModel as any).pipe(outputParser).stream();
+  const chunks = [];
+  for await (const chunk of stream) {
+    chunks.push(chunk);
+  }
+  expect(chunks.length).toBeGreaterThan(1);
+  expect(chunks.at(-1)).toEqual({ testKey: "testval" });
+  // TODO: Fix typing issue
+  const result = await (fakeModel as any).pipe(outputParser).invoke(
+    new AIMessage({
+      content: "",
+      tool_calls: [
+        {
+          id: "test",
+          name: "testing",
+          args: { testKey: "testval" },
+          type: "tool_call",
+        },
+      ],
+    })
+  );
+  expect(result).toEqual({ testKey: "testval" });
+});
diff --git a/langchain-core/src/output_parsers/transform.ts b/langchain-core/src/output_parsers/transform.ts
index 64647e10feb1..384c3285f74c 100644
--- a/langchain-core/src/output_parsers/transform.ts
+++ b/langchain-core/src/output_parsers/transform.ts
@@ -134,4 +134,8 @@ export abstract class BaseCumulativeTransformOutputParser<
       }
     }
   }
+
+  getFormatInstructions(): string {
+    return "";
+  }
 }
diff --git a/libs/langchain-openai/src/tests/chat_models_structured_output.int.test.ts b/libs/langchain-openai/src/tests/chat_models_structured_output.int.test.ts
index c6a6c97dbeda..bb3057dbe7d0 100644
--- a/libs/langchain-openai/src/tests/chat_models_structured_output.int.test.ts
+++ b/libs/langchain-openai/src/tests/chat_models_structured_output.int.test.ts
@@ -25,10 +25,8 @@ test("withStructuredOutput zod schema function calling", async () => {
   );
 
   const prompt = ChatPromptTemplate.fromMessages([
-    "system",
-    "You are VERY bad at math and must always use a calculator.",
-    "human",
-    "Please help me!! What is 2 + 2?",
+    ["system", "You are VERY bad at math and must always use a calculator."],
+    ["human", "Please help me!! What is 2 + 2?"],
   ]);
   const chain = prompt.pipe(modelWithStructuredOutput);
   const result = await chain.invoke({});
@@ -38,6 +36,41 @@ test("withStructuredOutput zod schema function calling", async () => {
   expect("number2" in result).toBe(true);
 });
 
+test("withStructuredOutput zod schema streaming", async () => {
+  const model = new ChatOpenAI({
+    temperature: 0,
+    modelName: "gpt-4-turbo-preview",
+  });
+
+  const calculatorSchema = z.object({
+    operation: z.enum(["add", "subtract", "multiply", "divide"]),
+    number1: z.number(),
+    number2: z.number(),
+  });
+  const modelWithStructuredOutput = model.withStructuredOutput(
+    calculatorSchema,
+    {
+      name: "calculator",
+    }
+  );
+
+  const prompt = ChatPromptTemplate.fromMessages([
+    ["system", "You are VERY bad at math and must always use a calculator."],
+    ["human", "Please help me!! What is 2 + 2?"],
+  ]);
+  const chain = prompt.pipe(modelWithStructuredOutput);
+  const stream = await chain.stream({});
+  const chunks = [];
+  for await (const chunk of stream) {
+    chunks.push(chunk);
+  }
+  expect(chunks.length).toBeGreaterThan(1);
+  const result = chunks.at(-1) ?? {};
+  expect("operation" in result).toBe(true);
+  expect("number1" in result).toBe(true);
+  expect("number2" in result).toBe(true);
+});
+
 test("withStructuredOutput zod schema JSON mode", async () => {
   const model = new ChatOpenAI({
     temperature: 0,
@@ -58,15 +91,16 @@ test("withStructuredOutput zod schema JSON mode", async () => {
   );
 
   const prompt = ChatPromptTemplate.fromMessages([
-    "system",
-    `You are VERY bad at math and must always use a calculator.
+    [
+      "system",
+      `You are VERY bad at math and must always use a calculator.
 Respond with a JSON object containing three keys:
 'operation': the type of operation to execute, either 'add', 'subtract', 'multiply' or 'divide',
 'number1': the first number to operate on,
 'number2': the second number to operate on.
 `,
-    "human",
-    "Please help me!! What is 2 + 2?",
+    ],
+    ["human", "Please help me!! What is 2 + 2?"],
   ]);
   const chain = prompt.pipe(modelWithStructuredOutput);
   const result = await chain.invoke({});
@@ -93,10 +127,8 @@ test("withStructuredOutput JSON schema function calling", async () => {
   });
 
   const prompt = ChatPromptTemplate.fromMessages([
-    "system",
-    `You are VERY bad at math and must always use a calculator.`,
-    "human",
-    "Please help me!! What is 2 + 2?",
+    ["system", `You are VERY bad at math and must always use a calculator.`],
+    ["human", "Please help me!! What is 2 + 2?"],
   ]);
   const chain = prompt.pipe(modelWithStructuredOutput);
   const result = await chain.invoke({});
@@ -123,10 +155,8 @@ test("withStructuredOutput OpenAI function definition function calling", async (
   });
 
   const prompt = ChatPromptTemplate.fromMessages([
-    "system",
-    `You are VERY bad at math and must always use a calculator.`,
-    "human",
-    "Please help me!! What is 2 + 2?",
+    ["system", `You are VERY bad at math and must always use a calculator.`],
+    ["human", "Please help me!! What is 2 + 2?"],
   ]);
   const chain = prompt.pipe(modelWithStructuredOutput);
   const result = await chain.invoke({});
@@ -156,15 +186,16 @@ test("withStructuredOutput JSON schema JSON mode", async () => {
   );
 
   const prompt = ChatPromptTemplate.fromMessages([
-    "system",
-    `You are VERY bad at math and must always use a calculator.
+    [
+      "system",
+      `You are VERY bad at math and must always use a calculator.
 Respond with a JSON object containing three keys:
 'operation': the type of operation to execute, either 'add', 'subtract', 'multiply' or 'divide',
 'number1': the first number to operate on,
 'number2': the second number to operate on.
 `,
-    "human",
-    "Please help me!! What is 2 + 2?",
+    ],
+    ["human", "Please help me!! What is 2 + 2?"],
   ]);
   const chain = prompt.pipe(modelWithStructuredOutput);
   const result = await chain.invoke({});
@@ -196,15 +227,16 @@ test("withStructuredOutput JSON schema", async () => {
   const modelWithStructuredOutput = model.withStructuredOutput(jsonSchema);
 
   const prompt = ChatPromptTemplate.fromMessages([
-    "system",
-    `You are VERY bad at math and must always use a calculator.
+    [
+      "system",
+      `You are VERY bad at math and must always use a calculator.
 Respond with a JSON object containing three keys:
 'operation': the type of operation to execute, either 'add', 'subtract', 'multiply' or 'divide',
 'number1': the first number to operate on,
 'number2': the second number to operate on.
 `,
-    "human",
-    "Please help me!! What is 2 + 2?",
+    ],
+    ["human", "Please help me!! What is 2 + 2?"],
   ]);
   const chain = prompt.pipe(modelWithStructuredOutput);
   const result = await chain.invoke({});
@@ -234,10 +266,8 @@ test("withStructuredOutput includeRaw true", async () => {
   );
 
   const prompt = ChatPromptTemplate.fromMessages([
-    "system",
-    "You are VERY bad at math and must always use a calculator.",
-    "human",
-    "Please help me!! What is 2 + 2?",
+    ["system", "You are VERY bad at math and must always use a calculator."],
+    ["human", "Please help me!! What is 2 + 2?"],
   ]);
   const chain = prompt.pipe(modelWithStructuredOutput);
   const result = await chain.invoke({});

From 24400db1535fb61ab6f2010869b3ff3f9b18be8b Mon Sep 17 00:00:00 2001
From: stanoswald <53464809+stanoswald@users.noreply.github.com>
Date: Wed, 11 Sep 2024 06:14:26 +0800
Subject: [PATCH 150/344] baidu-qianfan[patch]: Fix streaming mode of Qianfan
 (#6661)

---
 .../src/chat_models.ts                        | 219 ++++++------------
 1 file changed, 76 insertions(+), 143 deletions(-)

diff --git a/libs/langchain-baidu-qianfan/src/chat_models.ts b/libs/langchain-baidu-qianfan/src/chat_models.ts
index 6fc98ff48ce5..5d665e121b21 100644
--- a/libs/langchain-baidu-qianfan/src/chat_models.ts
+++ b/libs/langchain-baidu-qianfan/src/chat_models.ts
@@ -15,7 +15,6 @@ import {
 } from "@langchain/core/outputs";
 import { CallbackManagerForLLMRun } from "@langchain/core/callbacks/manager";
 import { getEnvironmentVariable } from "@langchain/core/utils/env";
-import { convertEventStreamToIterableReadableDataStream } from "@langchain/core/utils/event_source_parse";
 import { ChatCompletion } from "@baiducloud/qianfan";
 
 /**
@@ -60,8 +59,12 @@ interface ChatCompletionResponse {
   id: string;
   object: string;
   created: number;
+  sentence_id: number;
+  is_end: boolean;
+  is_truncated: boolean;
   result: string;
   need_clear_history: boolean;
+  finish_reason: string;
   usage: TokenUsage;
 }
 
@@ -305,167 +308,96 @@ export class ChatBaiduQianfan
   private _ensureMessages(messages: BaseMessage[]): Qianfan[] {
     return messages.map((message) => ({
       role: messageToQianfanRole(message),
-      content: message.text,
+      content: message.content.toString(),
     }));
   }
 
   /** @ignore */
   async _generate(
     messages: BaseMessage[],
-    _options?: this["ParsedCallOptions"],
+    options: this["ParsedCallOptions"],
     runManager?: CallbackManagerForLLMRun
   ): Promise<ChatResult> {
-    const tokenUsage: TokenUsage = {};
-
-    const params = this.invocationParams();
+    if (this.streaming) {
+      let finalChunk: ChatGenerationChunk | undefined;
+      const stream = this._streamResponseChunks(messages, options, runManager);
+      for await (const chunk of stream) {
+        if (finalChunk === undefined) {
+          finalChunk = chunk;
+        } else {
+          finalChunk = finalChunk.concat(chunk);
+        }
+      }
 
-    // Qianfan requires the system message to be put in the params, not messages array
-    const systemMessage = messages.find(
-      (message) => message._getType() === "system"
-    );
-    if (systemMessage) {
-      // eslint-disable-next-line no-param-reassign
-      messages = messages.filter((message) => message !== systemMessage);
-      params.system = systemMessage.text;
-    }
-    const messagesMapped = this._ensureMessages(messages);
+      if (finalChunk === undefined) {
+        throw new Error("No chunks returned from BaiduQianFan API.");
+      }
 
-    const data = params.stream
-      ? await new Promise<ChatCompletionResponse>((resolve, reject) => {
-          let rejected = false;
-          this.completionWithRetry(
-            {
-              ...params,
-              messages: messagesMapped,
-            },
-            true,
-            (event) => {
-              resolve(event.data);
-              // eslint-disable-next-line no-void
-              void runManager?.handleLLMNewToken(event.data ?? "");
-            }
-          ).catch((error) => {
-            if (!rejected) {
-              rejected = true;
-              reject(error);
-            }
-          });
-        })
-      : await this.completionWithRetry(
+      return {
+        generations: [
           {
-            ...params,
-            messages: messagesMapped,
+            text: finalChunk.text,
+            message: finalChunk.message,
           },
-          false
-        ).then((data) => {
-          if (data?.error_code) {
-            throw new Error(data?.error_msg);
-          }
-          return data;
-        });
-
-    const {
-      completion_tokens: completionTokens,
-      prompt_tokens: promptTokens,
-      total_tokens: totalTokens,
-    } = data.usage ?? {};
-
-    if (completionTokens) {
-      tokenUsage.completionTokens =
-        (tokenUsage.completionTokens ?? 0) + completionTokens;
-    }
-
-    if (promptTokens) {
-      tokenUsage.promptTokens = (tokenUsage.promptTokens ?? 0) + promptTokens;
-    }
-
-    if (totalTokens) {
-      tokenUsage.totalTokens = (tokenUsage.totalTokens ?? 0) + totalTokens;
+        ],
+        llmOutput: finalChunk.generationInfo?.usage ?? {},
+      };
+    } else {
+      const params = this.invocationParams();
+
+      const systemMessage = messages.find(
+        (message) => message._getType() === "system"
+      );
+      if (systemMessage) {
+        // eslint-disable-next-line no-param-reassign
+        messages = messages.filter((message) => message !== systemMessage);
+        params.system = systemMessage.content.toString();
+      }
+      const messagesMapped = this._ensureMessages(messages);
+
+      const data = (await this.completionWithRetry(
+        {
+          ...params,
+          messages: messagesMapped,
+        },
+        false
+      )) as ChatCompletionResponse;
+
+      const tokenUsage = data.usage || {};
+
+      const generations: ChatGeneration[] = [
+        {
+          text: data.result || "",
+          message: new AIMessage(data.result || ""),
+        },
+      ];
+
+      return {
+        generations,
+        llmOutput: { tokenUsage },
+      };
     }
-
-    const generations: ChatGeneration[] = [];
-    const text = data.result ?? "";
-    generations.push({
-      text,
-      message: new AIMessage(text),
-    });
-    return {
-      generations,
-      llmOutput: { tokenUsage },
-    };
   }
 
   /** @ignore */
   async completionWithRetry(
     request: ChatCompletionRequest,
-    stream: boolean,
-    onmessage?: (event: MessageEvent) => void
-  ) {
+    stream: boolean
+  ): Promise<
+    ChatCompletionResponse | AsyncIterableIterator<ChatCompletionResponse>
+  > {
     const makeCompletionRequest = async () => {
-      console.log(request);
       const response = await this.client.chat(request, this.model);
-
       if (!stream) {
         return response;
       } else {
-        let streamResponse = { result: "" } as {
-          id: string;
-          object: string;
-          created: number;
-          sentence_id?: number;
-          result: string;
-          need_clear_history: boolean;
-          usage: TokenUsage;
-        };
-        // eslint-disable-next-line @typescript-eslint/no-explicit-any
-        for await (const message of response as AsyncIterableIterator<any>) {
-          // 返回结果
-          if (!streamResponse) {
-            streamResponse = {
-              id: message.id,
-              object: message.object,
-              created: message.created,
-              result: message.result,
-              need_clear_history: message.need_clear_history,
-              usage: message.usage,
-            };
-          } else {
-            streamResponse.result += message.result;
-            streamResponse.created = message.created;
-            streamResponse.need_clear_history = message.need_clear_history;
-            streamResponse.usage = message.usage;
-          }
-        }
-        const event = new MessageEvent("message", {
-          data: streamResponse,
-        });
-        onmessage?.(event);
+        return response as AsyncIterableIterator<ChatCompletionResponse>;
       }
     };
 
     return this.caller.call(makeCompletionRequest);
   }
 
-  private async createStream(request: ChatCompletionRequest) {
-    const response = await this.client.chat(
-      {
-        ...request,
-        stream: true,
-      },
-      this.model
-    );
-
-    return convertEventStreamToIterableReadableDataStream(response);
-  }
-
-  private _deserialize(json: string) {
-    try {
-      return JSON.parse(json);
-    } catch (e) {
-      console.warn(`Received a non-JSON parseable chunk: ${json}`);
-    }
-  }
-
   async *_streamResponseChunks(
     messages: BaseMessage[],
     _options?: this["ParsedCallOptions"],
@@ -476,27 +408,28 @@ export class ChatBaiduQianfan
       stream: true,
     };
 
-    // Qianfan requires the system message to be put in the params, not messages array
     const systemMessage = messages.find(
       (message) => message._getType() === "system"
     );
     if (systemMessage) {
       // eslint-disable-next-line no-param-reassign
       messages = messages.filter((message) => message !== systemMessage);
-      parameters.system = systemMessage.text;
+      parameters.system = systemMessage.content.toString();
     }
     const messagesMapped = this._ensureMessages(messages);
 
-    const stream = await this.caller.call(async () =>
-      this.createStream({
-        ...parameters,
-        messages: messagesMapped,
-      })
-    );
+    const stream = (await this.caller.call(async () =>
+      this.completionWithRetry(
+        {
+          ...parameters,
+          messages: messagesMapped,
+        },
+        true
+      )
+    )) as AsyncIterableIterator<ChatCompletionResponse>;
 
     for await (const chunk of stream) {
-      const deserializedChunk = this._deserialize(chunk);
-      const { result, is_end, id } = deserializedChunk;
+      const { result, is_end, id } = chunk;
       yield new ChatGenerationChunk({
         text: result,
         message: new AIMessageChunk({ content: result }),

From 47f846dff564ebd678ee12a580e09b4663219e5c Mon Sep 17 00:00:00 2001
From: rxliuli <rxliuli@gmail.com>
Date: Wed, 11 Sep 2024 06:27:46 +0800
Subject: [PATCH 151/344] fix(anthropic): Do not check for apiKey existence
 when createClient parameters are present (#6716)

Co-authored-by: Jacob Lee <jacoblee93@gmail.com>
---
 docs/core_docs/docs/integrations/chat/anthropic.ipynb | 2 +-
 libs/langchain-anthropic/src/chat_models.ts           | 5 +----
 2 files changed, 2 insertions(+), 5 deletions(-)

diff --git a/docs/core_docs/docs/integrations/chat/anthropic.ipynb b/docs/core_docs/docs/integrations/chat/anthropic.ipynb
index 4786d1f68a9b..9fafc787406e 100644
--- a/docs/core_docs/docs/integrations/chat/anthropic.ipynb
+++ b/docs/core_docs/docs/integrations/chat/anthropic.ipynb
@@ -953,7 +953,7 @@
     "const customClient = new AnthropicVertex();\n",
     "\n",
     "const modelWithCustomClient = new ChatAnthropic({\n",
-    "  modelName: \"claude-3-sonnet-20240229\",\n",
+    "  modelName: \"claude-3-sonnet@20240229\",\n",
     "  maxRetries: 0,\n",
     "  createClient: () => customClient,\n",
     "});\n",
diff --git a/libs/langchain-anthropic/src/chat_models.ts b/libs/langchain-anthropic/src/chat_models.ts
index c8edf3c17d0d..1e8853ff5b8a 100644
--- a/libs/langchain-anthropic/src/chat_models.ts
+++ b/libs/langchain-anthropic/src/chat_models.ts
@@ -633,7 +633,7 @@ export class ChatAnthropicMessages<
       fields?.anthropicApiKey ??
       getEnvironmentVariable("ANTHROPIC_API_KEY");
 
-    if (!this.anthropicApiKey) {
+    if (!this.anthropicApiKey && !fields?.createClient) {
       throw new Error("Anthropic API key not found");
     }
     this.clientOptions = fields?.clientOptions ?? {};
@@ -949,9 +949,6 @@ export class ChatAnthropicMessages<
   ): Promise<Anthropic.Message> {
     if (!this.batchClient) {
       const options = this.apiUrl ? { baseURL: this.apiUrl } : undefined;
-      if (!this.apiKey) {
-        throw new Error("Missing Anthropic API key.");
-      }
       this.batchClient = this.createClient({
         ...this.clientOptions,
         ...options,

From 964e8bd4085d7d3f6fc6c582866317bc4b26301b Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Tue, 10 Sep 2024 15:32:29 -0700
Subject: [PATCH 152/344] feat(community): Add arcjet integration (#6725)

Co-authored-by: e-moran <eoin@arcjet.com>
Co-authored-by: Eoin Power-Moran <37004949+e-moran@users.noreply.github.com>
---
 docs/core_docs/.gitignore                     |   6 +-
 .../docs/integrations/chat/arcjet.ipynb       | 164 +++++++++++
 .../docs/integrations/llms/arcjet.ipynb       | 156 +++++++++++
 docs/core_docs/src/theme/FeatureTables.js     |  15 +
 libs/langchain-community/.gitignore           |   8 +
 libs/langchain-community/langchain.config.js  |   4 +
 libs/langchain-community/package.json         |  31 +++
 .../src/chat_models/arcjet.ts                 | 194 +++++++++++++
 .../src/chat_models/tests/chatarcjet.test.ts  | 263 ++++++++++++++++++
 libs/langchain-community/src/llms/arcjet.ts   |  80 ++++++
 .../src/llms/tests/arcjet.test.ts             | 181 ++++++++++++
 .../src/load/import_constants.ts              |   2 +
 yarn.lock                                     |  20 ++
 13 files changed, 1123 insertions(+), 1 deletion(-)
 create mode 100644 docs/core_docs/docs/integrations/chat/arcjet.ipynb
 create mode 100644 docs/core_docs/docs/integrations/llms/arcjet.ipynb
 create mode 100644 libs/langchain-community/src/chat_models/arcjet.ts
 create mode 100644 libs/langchain-community/src/chat_models/tests/chatarcjet.test.ts
 create mode 100644 libs/langchain-community/src/llms/arcjet.ts
 create mode 100644 libs/langchain-community/src/llms/tests/arcjet.test.ts

diff --git a/docs/core_docs/.gitignore b/docs/core_docs/.gitignore
index ca1dd4efb878..305859f43ac6 100644
--- a/docs/core_docs/.gitignore
+++ b/docs/core_docs/.gitignore
@@ -304,6 +304,8 @@ docs/integrations/llms/cloudflare_workersai.md
 docs/integrations/llms/cloudflare_workersai.mdx
 docs/integrations/llms/bedrock.md
 docs/integrations/llms/bedrock.mdx
+docs/integrations/llms/arcjet.md
+docs/integrations/llms/arcjet.mdx
 docs/integrations/llms/azure.md
 docs/integrations/llms/azure.mdx
 docs/integrations/chat/togetherai.md
@@ -330,6 +332,8 @@ docs/integrations/chat/bedrock_converse.md
 docs/integrations/chat/bedrock_converse.mdx
 docs/integrations/chat/bedrock.md
 docs/integrations/chat/bedrock.mdx
+docs/integrations/chat/arcjet.md
+docs/integrations/chat/arcjet.mdx
 docs/integrations/chat/azure.md
 docs/integrations/chat/azure.mdx
 docs/integrations/chat/anthropic.md
@@ -371,4 +375,4 @@ docs/integrations/document_loaders/web_loaders/pdf.mdx
 docs/integrations/document_loaders/web_loaders/langsmith.md
 docs/integrations/document_loaders/web_loaders/langsmith.mdx
 docs/integrations/document_loaders/web_loaders/firecrawl.md
-docs/integrations/document_loaders/web_loaders/firecrawl.mdx
\ No newline at end of file
+docs/integrations/document_loaders/web_loaders/firecrawl.mdx
diff --git a/docs/core_docs/docs/integrations/chat/arcjet.ipynb b/docs/core_docs/docs/integrations/chat/arcjet.ipynb
new file mode 100644
index 000000000000..fcc83a6fb08f
--- /dev/null
+++ b/docs/core_docs/docs/integrations/chat/arcjet.ipynb
@@ -0,0 +1,164 @@
+{
+ "cells": [
+  {
+   "cell_type": "raw",
+   "id": "67db2992",
+   "metadata": {
+    "vscode": {
+     "languageId": "raw"
+    }
+   },
+   "source": [
+    "---\n",
+    "sidebar_label: Arcjet Redact\n",
+    "---"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "9597802c",
+   "metadata": {},
+   "source": [
+    "# Arcjet Redact\n",
+    "\n",
+    "The [Arcjet](https://arcjet.com) redact integration allows you to redact sensitive user information from your prompts before sending it to a Chat Model.\n",
+    "\n",
+    "Arcjet Redact runs entirely on your own machine and never sends data anywhere else, ensuring best in class privacy and performance.\n",
+    "\n",
+    "The Arcjet Redact object is not a chat model itself, instead it wraps an LLM. It redacts the text that is inputted to it and then unredacts the output of the wrapped chat model before returning it. \n",
+    "\n",
+    "\n",
+    "\n",
+    "## Overview\n",
+    "### Integration details\n",
+    "\n",
+    "| Class | Package | Local | Serializable | PY Support | Package downloads | Package latest |\n",
+    "| :--- | :--- | :---: | :---: |  :---: | :---: | :---: |\n",
+    "| Arcjet | @langchain/community | ❌ | ✅ | ❌ | ![NPM - Downloads](https://img.shields.io/npm/dm/@langchain/community?style=flat-square&label=%20&) | ![NPM - Version](https://img.shields.io/npm/v/@langchain/community?style=flat-square&label=%20&) |\n",
+    "\n",
+    "### Installation\n",
+    "\n",
+    "Install the Arcjet Redaction Library:\n",
+    "\n",
+    "```{=mdx}\n",
+    "import IntegrationInstallTooltip from \"@mdx_components/integration_install_tooltip.mdx\";\n",
+    "import Npm2Yarn from \"@theme/Npm2Yarn\";\n",
+    "\n",
+    "<IntegrationInstallTooltip></IntegrationInstallTooltip>\n",
+    "\n",
+    "<Npm2Yarn>\n",
+    "  @arcjet/redact\n",
+    "</Npm2Yarn>\n",
+    "\n",
+    "```\n",
+    "\n",
+    "And install LangChain Community:\n",
+    "\n",
+    "\n",
+    "```{=mdx}\n",
+    "<IntegrationInstallTooltip></IntegrationInstallTooltip>\n",
+    "\n",
+    "<Npm2Yarn>\n",
+    "  @langchain/community\n",
+    "</Npm2Yarn>\n",
+    "\n",
+    "And now you're ready to start protecting your chat model calls with Arcjet Redaction!\n",
+    "\n",
+    "```"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0a760037",
+   "metadata": {},
+   "source": [
+    "## Usage"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "a0562a13",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import {\n",
+    "  ArcjetRedact,\n",
+    "  ArcjetSensitiveInfoType,\n",
+    "} from \"@langchain/community/chat_models/arcjet\";\n",
+    "import { ChatOpenAI } from \"@langchain/openai\";\n",
+    "\n",
+    "// Create an instance of another chat model for Arcjet to wrap\n",
+    "const openai = new ChatOpenAI({\n",
+    "  temperature: 0.8,\n",
+    "  model: \"gpt-3.5-turbo-0125\",\n",
+    "});\n",
+    "\n",
+    "const arcjetRedactOptions = {\n",
+    "  // Specify a LLM that Arcjet Redact will call once it has redacted the input.\n",
+    "  chatModel: openai,\n",
+    "\n",
+    "  // Specify the list of entities that should be redacted.\n",
+    "  // If this isn't specified then all entities will be redacted.\n",
+    "  entities: [\"email\", \"phone-number\", \"ip-address\", \"custom-entity\"] as ArcjetSensitiveInfoType[],\n",
+    "\n",
+    "  // You can provide a custom detect function to detect entities that we don't support yet.\n",
+    "  // It takes a list of tokens and you return a list of identified types or undefined.\n",
+    "  // The undefined types that you return should be added to the entities list if used.\n",
+    "  detect: (tokens: string[]) => {\n",
+    "    return tokens.map((t) => t === \"some-sensitive-info\" ? \"custom-entity\" : undefined)\n",
+    "  },\n",
+    "\n",
+    "  // The number of tokens to provide to the custom detect function. This defaults to 1.\n",
+    "  // It can be used to provide additional context when detecting custom entity types.\n",
+    "  contextWindowSize: 1,\n",
+    "\n",
+    "  // This allows you to provide custom replacements when redacting. Please ensure\n",
+    "  // that the replacements are unique so that unredaction works as expected.\n",
+    "  replace: (identifiedType: string) => {\n",
+    "    return identifiedType === \"email\" ? \"redacted@example.com\" : undefined;\n",
+    "  },\n",
+    "};\n",
+    "\n",
+    "const arcjetRedact = new ArcjetRedact(arcjetRedactOptions);\n",
+    "\n",
+    "const response = await arcjetRedact.invoke(\n",
+    "  \"My email address is test@example.com, here is some-sensitive-info\"\n",
+    ");"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "165c0f4f",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "TypeScript",
+   "language": "typescript",
+   "name": "tslab"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "mode": "typescript",
+    "name": "javascript",
+    "typescript": true
+   },
+   "file_extension": ".ts",
+   "mimetype": "text/typescript",
+   "name": "typescript",
+   "version": "3.7.2"
+  },
+  "vscode": {
+   "interpreter": {
+    "hash": "e971737741ff4ec9aff7dc6155a1060a59a8a6d52c757dbbe66bf8ee389494b1"
+   }
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/docs/core_docs/docs/integrations/llms/arcjet.ipynb b/docs/core_docs/docs/integrations/llms/arcjet.ipynb
new file mode 100644
index 000000000000..730ed86c74a8
--- /dev/null
+++ b/docs/core_docs/docs/integrations/llms/arcjet.ipynb
@@ -0,0 +1,156 @@
+{
+ "cells": [
+  {
+   "cell_type": "raw",
+   "id": "67db2992",
+   "metadata": {
+    "vscode": {
+     "languageId": "raw"
+    }
+   },
+   "source": [
+    "---\n",
+    "sidebar_label: Arcjet Redact\n",
+    "---"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "9597802c",
+   "metadata": {},
+   "source": [
+    "# Arcjet Redact\n",
+    "\n",
+    "The [Arcjet](https://arcjet.com) redact integration allows you to redact sensitive user information from your prompts before sending it to an LLM.\n",
+    "\n",
+    "Arcjet Redact runs entirely on your own machine and never sends data anywhere else, ensuring best in class privacy and performance.\n",
+    "\n",
+    "The Arcjet Redact object is not an LLM itself, instead it wraps an LLM. It redacts the text that is inputted to it and then unredacts the output of the wrapped LLM before returning it. \n",
+    "\n",
+    "\n",
+    "\n",
+    "## Overview\n",
+    "### Integration details\n",
+    "\n",
+    "| Class | Package | Local | Serializable | PY Support | Package downloads | Package latest |\n",
+    "| :--- | :--- | :---: | :---: |  :---: | :---: | :---: |\n",
+    "| Arcjet | @langchain/community | ❌ | ✅ | ❌ | ![NPM - Downloads](https://img.shields.io/npm/dm/@langchain/community?style=flat-square&label=%20&) | ![NPM - Version](https://img.shields.io/npm/v/@langchain/community?style=flat-square&label=%20&) |\n",
+    "\n",
+    "### Installation\n",
+    "\n",
+    "Install the Arcjet Redaction Library:\n",
+    "\n",
+    "```{=mdx}\n",
+    "import IntegrationInstallTooltip from \"@mdx_components/integration_install_tooltip.mdx\";\n",
+    "import Npm2Yarn from \"@theme/Npm2Yarn\";\n",
+    "\n",
+    "<IntegrationInstallTooltip></IntegrationInstallTooltip>\n",
+    "\n",
+    "<Npm2Yarn>\n",
+    "  @arcjet/redact\n",
+    "</Npm2Yarn>\n",
+    "\n",
+    "```\n",
+    "\n",
+    "And install LangChain Community:\n",
+    "\n",
+    "\n",
+    "```{=mdx}\n",
+    "<IntegrationInstallTooltip></IntegrationInstallTooltip>\n",
+    "\n",
+    "<Npm2Yarn>\n",
+    "  @langchain/community\n",
+    "</Npm2Yarn>\n",
+    "\n",
+    "And now you're ready to start protecting your LLM calls with Arcjet Redaction!\n",
+    "\n",
+    "```"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0a760037",
+   "metadata": {},
+   "source": [
+    "## Usage"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "a0562a13",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import {\n",
+    "  ArcjetRedact,\n",
+    "  ArcjetSensitiveInfoType,\n",
+    "} from \"@langchain/community/llms/arcjet\";\n",
+    "import { OpenAI } from \"@langchain/openai\";\n",
+    "\n",
+    "// Create an instance of another LLM for Arcjet to wrap\n",
+    "const openai = new OpenAI({\n",
+    "  modelName: \"gpt-3.5-turbo-instruct\",\n",
+    "  openAIApiKey: process.env.OPENAI_API_KEY,\n",
+    "});\n",
+    "\n",
+    "const arcjetRedactOptions = {\n",
+    "  // Specify a LLM that Arcjet Redact will call once it has redacted the input.\n",
+    "  llm: openai,\n",
+    "\n",
+    "  // Specify the list of entities that should be redacted.\n",
+    "  // If this isn't specified then all entities will be redacted.\n",
+    "  entities: [\"email\", \"phone-number\", \"ip-address\", \"credit-card\"] as ArcjetSensitiveInfoType[],\n",
+    "\n",
+    "  // You can provide a custom detect function to detect entities that we don't support yet.\n",
+    "  // It takes a list of tokens and you return a list of identified types or undefined.\n",
+    "  // The undefined types that you return should be added to the entities list if used.\n",
+    "  detect: (tokens: string[]) => {\n",
+    "    return tokens.map((t) => t === \"some-sensitive-info\" ? \"custom-entity\" : undefined)\n",
+    "  },\n",
+    "\n",
+    "  // The number of tokens to provide to the custom detect function. This defaults to 1.\n",
+    "  // It can be used to provide additional context when detecting custom entity types.\n",
+    "  contextWindowSize: 1,\n",
+    "\n",
+    "  // This allows you to provide custom replacements when redacting. Please ensure\n",
+    "  // that the replacements are unique so that unredaction works as expected.\n",
+    "  replace: (identifiedType: string) => {\n",
+    "    return identifiedType === \"email\" ? \"redacted@example.com\" : undefined;\n",
+    "  },\n",
+    "\n",
+    "};\n",
+    "\n",
+    "const arcjetRedact = new ArcjetRedact(arcjetRedactOptions);\n",
+    "const response = await arcjetRedact.invoke(\n",
+    "  \"My email address is test@example.com, here is some-sensitive-info\"\n",
+    ");"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "TypeScript",
+   "language": "typescript",
+   "name": "tslab"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "mode": "typescript",
+    "name": "javascript",
+    "typescript": true
+   },
+   "file_extension": ".ts",
+   "mimetype": "text/typescript",
+   "name": "typescript",
+   "version": "3.7.2"
+  },
+  "vscode": {
+   "interpreter": {
+    "hash": "e971737741ff4ec9aff7dc6155a1060a59a8a6d52c757dbbe66bf8ee389494b1"
+   }
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/docs/core_docs/src/theme/FeatureTables.js b/docs/core_docs/src/theme/FeatureTables.js
index 1870361af2b9..b2dec1539d53 100644
--- a/docs/core_docs/src/theme/FeatureTables.js
+++ b/docs/core_docs/src/theme/FeatureTables.js
@@ -239,6 +239,16 @@ const FEATURE_TABLES = {
         apiLink:
           "https://api.python.langchain.com/en/latest/chat_models/langchain_upstage.chat_models.ChatUpstage.html#langchain_upstage.chat_models.ChatUpstage",
       },
+      {
+        name: "Arcjet Redact",
+        package: "langchain-community",
+        link: "arcjet",
+        structured_output: false,
+        tool_calling: false,
+        json_mode: false,
+        multimodal: false,
+        local: true,
+      },
     ],
   },
   llms: {
@@ -261,6 +271,11 @@ const FEATURE_TABLES = {
         apiLink:
           "https://api.python.langchain.com/en/latest/llms/langchain_ai21.llms.AI21LLM.html#langchain_ai21.llms.AI21LLM",
       },
+      {
+        name: "Arcjet Redact",
+        link: "arcjet",
+        package: "langchain-community",
+      },
       {
         name: "AnthropicLLM",
         link: "anthropic",
diff --git a/libs/langchain-community/.gitignore b/libs/langchain-community/.gitignore
index 8f6f452a7468..299b955d097a 100644
--- a/libs/langchain-community/.gitignore
+++ b/libs/langchain-community/.gitignore
@@ -222,6 +222,10 @@ llms/aleph_alpha.cjs
 llms/aleph_alpha.js
 llms/aleph_alpha.d.ts
 llms/aleph_alpha.d.cts
+llms/arcjet.cjs
+llms/arcjet.js
+llms/arcjet.d.ts
+llms/arcjet.d.cts
 llms/bedrock.cjs
 llms/bedrock.js
 llms/bedrock.d.ts
@@ -502,6 +506,10 @@ chat_models/alibaba_tongyi.cjs
 chat_models/alibaba_tongyi.js
 chat_models/alibaba_tongyi.d.ts
 chat_models/alibaba_tongyi.d.cts
+chat_models/arcjet.cjs
+chat_models/arcjet.js
+chat_models/arcjet.d.ts
+chat_models/arcjet.d.cts
 chat_models/baiduwenxin.cjs
 chat_models/baiduwenxin.js
 chat_models/baiduwenxin.d.ts
diff --git a/libs/langchain-community/langchain.config.js b/libs/langchain-community/langchain.config.js
index 3709f58812e7..5c9818185cec 100644
--- a/libs/langchain-community/langchain.config.js
+++ b/libs/langchain-community/langchain.config.js
@@ -91,6 +91,7 @@ export const config = {
     // llms
     "llms/ai21": "llms/ai21",
     "llms/aleph_alpha": "llms/aleph_alpha",
+    "llms/arcjet": "llms/arcjet",
     "llms/bedrock": "llms/bedrock/index",
     "llms/bedrock/web": "llms/bedrock/web",
     "llms/cloudflare_workersai": "llms/cloudflare_workersai",
@@ -163,6 +164,7 @@ export const config = {
     "vectorstores/zep_cloud": "vectorstores/zep_cloud",
     // chat_models
     "chat_models/alibaba_tongyi": "chat_models/alibaba_tongyi",
+    "chat_models/arcjet": "chat_models/arcjet",
     "chat_models/baiduwenxin": "chat_models/baiduwenxin",
     "chat_models/bedrock": "chat_models/bedrock/index",
     "chat_models/bedrock/web": "chat_models/bedrock/web",
@@ -351,6 +353,7 @@ export const config = {
     "embeddings/tencent_hunyuan/web",
     "embeddings/zhipuai",
     "llms/load",
+    "llms/arcjet",
     "llms/cohere",
     "llms/googlevertexai",
     "llms/googlevertexai/web",
@@ -410,6 +413,7 @@ export const config = {
     "vectorstores/xata",
     "vectorstores/zep",
     "vectorstores/zep_cloud",
+    "chat_models/arcjet",
     "chat_models/bedrock",
     "chat_models/bedrock/web",
     "chat_models/googlevertexai",
diff --git a/libs/langchain-community/package.json b/libs/langchain-community/package.json
index 988f307255d0..85444a2936a0 100644
--- a/libs/langchain-community/package.json
+++ b/libs/langchain-community/package.json
@@ -48,6 +48,7 @@
     "zod-to-json-schema": "^3.22.5"
   },
   "devDependencies": {
+    "@arcjet/redact": "^v1.0.0-alpha.23",
     "@aws-crypto/sha256-js": "^5.0.0",
     "@aws-sdk/client-bedrock-agent-runtime": "^3.583.0",
     "@aws-sdk/client-bedrock-runtime": "^3.422.0",
@@ -213,6 +214,7 @@
     "youtubei.js": "^9.1.0"
   },
   "peerDependencies": {
+    "@arcjet/redact": "^v1.0.0-alpha.23",
     "@aws-crypto/sha256-js": "^5.0.0",
     "@aws-sdk/client-bedrock-agent-runtime": "^3.583.0",
     "@aws-sdk/client-bedrock-runtime": "^3.422.0",
@@ -335,6 +337,9 @@
     "youtubei.js": "^9.1.0"
   },
   "peerDependenciesMeta": {
+    "@arcjet/redact": {
+      "optional": true
+    },
     "@aws-crypto/sha256-js": {
       "optional": true
     },
@@ -1204,6 +1209,15 @@
       "import": "./llms/aleph_alpha.js",
       "require": "./llms/aleph_alpha.cjs"
     },
+    "./llms/arcjet": {
+      "types": {
+        "import": "./llms/arcjet.d.ts",
+        "require": "./llms/arcjet.d.cts",
+        "default": "./llms/arcjet.d.ts"
+      },
+      "import": "./llms/arcjet.js",
+      "require": "./llms/arcjet.cjs"
+    },
     "./llms/bedrock": {
       "types": {
         "import": "./llms/bedrock.d.ts",
@@ -1834,6 +1848,15 @@
       "import": "./chat_models/alibaba_tongyi.js",
       "require": "./chat_models/alibaba_tongyi.cjs"
     },
+    "./chat_models/arcjet": {
+      "types": {
+        "import": "./chat_models/arcjet.d.ts",
+        "require": "./chat_models/arcjet.d.cts",
+        "default": "./chat_models/arcjet.d.ts"
+      },
+      "import": "./chat_models/arcjet.js",
+      "require": "./chat_models/arcjet.cjs"
+    },
     "./chat_models/baiduwenxin": {
       "types": {
         "import": "./chat_models/baiduwenxin.d.ts",
@@ -3286,6 +3309,10 @@
     "llms/aleph_alpha.js",
     "llms/aleph_alpha.d.ts",
     "llms/aleph_alpha.d.cts",
+    "llms/arcjet.cjs",
+    "llms/arcjet.js",
+    "llms/arcjet.d.ts",
+    "llms/arcjet.d.cts",
     "llms/bedrock.cjs",
     "llms/bedrock.js",
     "llms/bedrock.d.ts",
@@ -3566,6 +3593,10 @@
     "chat_models/alibaba_tongyi.js",
     "chat_models/alibaba_tongyi.d.ts",
     "chat_models/alibaba_tongyi.d.cts",
+    "chat_models/arcjet.cjs",
+    "chat_models/arcjet.js",
+    "chat_models/arcjet.d.ts",
+    "chat_models/arcjet.d.cts",
     "chat_models/baiduwenxin.cjs",
     "chat_models/baiduwenxin.js",
     "chat_models/baiduwenxin.d.ts",
diff --git a/libs/langchain-community/src/chat_models/arcjet.ts b/libs/langchain-community/src/chat_models/arcjet.ts
new file mode 100644
index 000000000000..3933434fb856
--- /dev/null
+++ b/libs/langchain-community/src/chat_models/arcjet.ts
@@ -0,0 +1,194 @@
+/* eslint-disable no-param-reassign */
+/* eslint-disable no-plusplus */
+import {
+  BaseChatModel,
+  type BaseChatModelParams,
+} from "@langchain/core/language_models/chat_models";
+import type { ArcjetSensitiveInfoType, RedactOptions } from "@arcjet/redact";
+import { CallbackManagerForLLMRun } from "@langchain/core/callbacks/manager";
+import { BaseMessage } from "@langchain/core/messages";
+import { ChatResult } from "@langchain/core/outputs";
+
+type DetectSensitiveInfoEntities<T> = (
+  tokens: string[]
+) => Array<ArcjetSensitiveInfoType | T | undefined>;
+type ValidEntities<Detect> = Array<
+  undefined extends Detect
+    ? ArcjetSensitiveInfoType
+    : Detect extends DetectSensitiveInfoEntities<infer CustomEntities>
+    ? ArcjetSensitiveInfoType | CustomEntities
+    : never
+>;
+
+export interface ArcjetRedactOptions<Detect> extends BaseChatModelParams {
+  chatModel: BaseChatModel;
+  entities?: ValidEntities<Detect>;
+  contextWindowSize?: number;
+  detect?: Detect;
+  replace?: (entity: ValidEntities<Detect>[number]) => string | undefined;
+}
+
+export type { ArcjetSensitiveInfoType, RedactOptions };
+
+async function transformTextMessageAsync(
+  message: BaseMessage,
+  transformer: (text: string) => Promise<string>
+): Promise<BaseMessage> {
+  if (typeof message.content === "string") {
+    message.content = await transformer(message.content);
+    return message;
+  }
+
+  const redactedContent = await Promise.all(
+    message.content.map(async (m) => {
+      if (m.type === "text") {
+        return {
+          ...m,
+          text: await transformer(m.text),
+        };
+      } else {
+        return Promise.resolve(m);
+      }
+    })
+  );
+  message.content = redactedContent;
+  return message;
+}
+
+function transformTextMessage(
+  message: BaseMessage,
+  transformer: (text: string) => string
+): BaseMessage {
+  if (typeof message.content === "string") {
+    message.content = transformer(message.content);
+    return message;
+  }
+
+  const redactedContent = message.content.map((m) => {
+    if (m.type === "text") {
+      return {
+        ...m,
+        text: transformer(m.text),
+      };
+    } else {
+      return m;
+    }
+  });
+  message.content = redactedContent;
+  return message;
+}
+
+export class ArcjetRedact<
+  Detect extends DetectSensitiveInfoEntities<CustomEntities> | undefined,
+  CustomEntities extends string
+> extends BaseChatModel {
+  static lc_name() {
+    return "ArcjetRedact";
+  }
+
+  chatModel: BaseChatModel;
+
+  entities?: ValidEntities<Detect>;
+
+  contextWindowSize?: number;
+
+  detect?: Detect;
+
+  replace?: (entity: ValidEntities<Detect>[number]) => string | undefined;
+
+  index: number;
+
+  constructor(options: ArcjetRedactOptions<Detect>) {
+    super(options);
+
+    if (options.entities && options.entities.length === 0) {
+      throw new Error("no entities configured for redaction");
+    }
+
+    this.chatModel = options.chatModel;
+    this.entities = options.entities;
+    this.contextWindowSize = options.contextWindowSize;
+    this.detect = options.detect;
+    this.replace = options.replace;
+    this.index = 0;
+  }
+
+  _createUniqueReplacement(entity: ValidEntities<Detect>[number]): string {
+    const userReplacement =
+      typeof this.replace !== "undefined" ? this.replace(entity) : undefined;
+    if (typeof userReplacement !== "undefined") {
+      return userReplacement;
+    }
+
+    this.index++;
+
+    if (entity === "email") {
+      return `<Redacted email #${this.index}>`;
+    }
+
+    if (entity === "phone-number") {
+      return `<Redacted phone number #${this.index}>`;
+    }
+
+    if (entity === "ip-address") {
+      return `<Redacted IP address #${this.index}>`;
+    }
+
+    if (entity === "credit-card-number") {
+      return `<Redacted credit card number #${this.index}>`;
+    }
+
+    return `<Redacted ${entity} #${this.index}>`;
+  }
+
+  _llmType() {
+    return "arcjet_redact";
+  }
+
+  async _generate(
+    messages: BaseMessage[],
+    options: this["ParsedCallOptions"],
+    runManager?: CallbackManagerForLLMRun | undefined
+  ): Promise<ChatResult> {
+    const ajOptions: RedactOptions<Detect> = {
+      entities: this.entities,
+      contextWindowSize: this.contextWindowSize,
+      detect: this.detect,
+      replace: this._createUniqueReplacement.bind(this),
+    };
+
+    const unredactors: Array<(message: string) => string> = [];
+    // Support CommonJS
+    const { redact } = await import("@arcjet/redact");
+    const redacted = await Promise.all(
+      messages.map(async (message) => {
+        return await transformTextMessageAsync(message, async (message) => {
+          const [redacted, unredact] = await redact(message, ajOptions);
+          unredactors.push(unredact);
+          return redacted;
+        });
+      })
+    );
+
+    const response = await this.chatModel._generate(
+      redacted,
+      options,
+      runManager
+    );
+
+    return {
+      ...response,
+      generations: response.generations.map((resp) => {
+        return {
+          ...resp,
+          message: transformTextMessage(resp.message, (message: string) => {
+            for (const unredact of unredactors) {
+              message = unredact(message);
+            }
+            return message;
+          }),
+        };
+      }),
+    };
+  }
+}
diff --git a/libs/langchain-community/src/chat_models/tests/chatarcjet.test.ts b/libs/langchain-community/src/chat_models/tests/chatarcjet.test.ts
new file mode 100644
index 000000000000..759e6ae12697
--- /dev/null
+++ b/libs/langchain-community/src/chat_models/tests/chatarcjet.test.ts
@@ -0,0 +1,263 @@
+/* eslint-disable no-process-env */
+/* eslint-disable @typescript-eslint/no-non-null-assertion */
+
+import { BaseChatModel } from "@langchain/core/language_models/chat_models";
+import { CallbackManagerForLLMRun } from "@langchain/core/callbacks/manager";
+import { BaseMessage, MessageType } from "@langchain/core/messages";
+import { ChatGeneration, ChatResult } from "@langchain/core/outputs";
+import { ArcjetRedact } from "../arcjet.js";
+
+class MockChatModel extends BaseChatModel {
+  callback?: (input: BaseMessage[]) => ChatGeneration[];
+
+  constructor(callback?: (input: BaseMessage[]) => ChatGeneration[]) {
+    super({});
+    this.callback = callback;
+  }
+
+  _llmType(): string {
+    return "mock_chat_model";
+  }
+
+  async _generate(
+    messages: BaseMessage[],
+    _options: this["ParsedCallOptions"],
+    _runManager?: CallbackManagerForLLMRun | undefined
+  ): Promise<ChatResult> {
+    return {
+      generations: this.callback ? this.callback(messages) : [],
+    };
+  }
+}
+
+class GenericMessage extends BaseMessage {
+  constructor(text: string) {
+    super(text);
+  }
+
+  _getType(): MessageType {
+    return "human";
+  }
+}
+
+test("It passes messages through correctly", async () => {
+  const generationA = {
+    message: new GenericMessage("this is the output"),
+    text: "this is the output",
+  };
+
+  const callback = (input: BaseMessage[]) => {
+    expect(input[0].content).toEqual("this is the input");
+    expect(input[1].content).toEqual("this is a second input");
+    return [generationA];
+  };
+  const mockLLM = new MockChatModel(callback);
+  const options = {
+    chatModel: mockLLM,
+  };
+
+  const arcjetRedact = new ArcjetRedact(options);
+  const output = await arcjetRedact.invoke([
+    "this is the input",
+    "this is a second input",
+  ]);
+
+  expect(output.content).toEqual("this is the output");
+});
+
+test("It passes messages through correctly in the streaming interface", async () => {
+  const generationA = {
+    message: new GenericMessage("this is the output"),
+    text: "this is the output",
+  };
+
+  const callback = (input: BaseMessage[]) => {
+    expect(input[0].content).toEqual("this is the input");
+    expect(input[1].content).toEqual("this is a second input");
+    return [generationA];
+  };
+  const mockLLM = new MockChatModel(callback);
+  const options = {
+    chatModel: mockLLM,
+  };
+
+  const arcjetRedact = new ArcjetRedact(options);
+  const stream = await arcjetRedact.stream([
+    "this is the input",
+    "this is a second input",
+  ]);
+
+  const output = await stream.next();
+
+  expect(output.value.content).toEqual("this is the output");
+});
+
+test("It redacts built in entities across multiple messages and unredacts them in the response", async () => {
+  const generationA = {
+    message: new GenericMessage(
+      "Your email is <Redacted email #1> and your card number is <Redacted credit card number #2>"
+    ),
+    text: "Your email is <Redacted email #1> and your card number is <Redacted credit card number #2>",
+  };
+
+  const callback = (input: BaseMessage[]) => {
+    expect(input[0].content).toEqual("my email address is <Redacted email #1>");
+    expect(input[1].content).toEqual(
+      "my card number is <Redacted credit card number #2>"
+    );
+    return [generationA];
+  };
+
+  const mockLLM = new MockChatModel(callback);
+  const options = {
+    chatModel: mockLLM,
+  };
+
+  const arcjetRedact = new ArcjetRedact(options);
+  const output = await arcjetRedact.stream([
+    "my email address is test@example.com",
+    "my card number is 4242424242424242",
+  ]);
+
+  const first = await output.next();
+  expect(first.value.content).toEqual(
+    "Your email is test@example.com and your card number is 4242424242424242"
+  );
+});
+
+test("it redacts and unredacts correctly", async () => {
+  const generationA = {
+    message: new GenericMessage(
+      "Your email is <Redacted email #1> and your card number is <Redacted credit card number #2>"
+    ),
+    text: "Your email is <Redacted email #1> and your card number is <Redacted credit card number #2>",
+  };
+
+  const callback = (input: BaseMessage[]) => {
+    expect(input[0].content).toEqual("my email address is <Redacted email #1>");
+    expect(input[1].content).toEqual(
+      "my card number is <Redacted credit card number #2>"
+    );
+    return [generationA];
+  };
+
+  const mockLLM = new MockChatModel(callback);
+  const options = {
+    chatModel: mockLLM,
+  };
+
+  const arcjetRedact = new ArcjetRedact(options);
+  const output = await arcjetRedact.stream([
+    "my email address is test@example.com",
+    "my card number is 4242424242424242",
+  ]);
+
+  const first = await output.next();
+  expect(first.value.content).toEqual(
+    "Your email is test@example.com and your card number is 4242424242424242"
+  );
+});
+
+test("it redacts and unredacts correctly", async () => {
+  const generationA = {
+    message: new GenericMessage(
+      "Your email is <Redacted email #1> and your card number is <Redacted credit card number #2>"
+    ),
+    text: "Your email is <Redacted email #1> and your card number is <Redacted credit card number #2>",
+  };
+
+  const callback = (input: BaseMessage[]) => {
+    expect(input[0].content).toEqual("my email address is <Redacted email #1>");
+    expect(input[1].content).toEqual(
+      "my card number is <Redacted credit card number #2>"
+    );
+    return [generationA];
+  };
+
+  const mockLLM = new MockChatModel(callback);
+  const options = {
+    chatModel: mockLLM,
+  };
+
+  const arcjetRedact = new ArcjetRedact(options);
+  const output = await arcjetRedact.invoke([
+    "my email address is test@example.com",
+    "my card number is 4242424242424242",
+  ]);
+
+  expect(output.content).toEqual(
+    "Your email is test@example.com and your card number is 4242424242424242"
+  );
+});
+
+test("it handles custom detect functions correctly", async () => {
+  const generationA = {
+    message: new GenericMessage("custom <Redacted custom-entity #1>"),
+    text: "custom <Redacted custom-entity #0>",
+  };
+
+  const callback = (input: BaseMessage[]) => {
+    expect(input[0].content).toEqual("custom <Redacted custom-entity #1>");
+    return [generationA];
+  };
+
+  const mockLLM = new MockChatModel(callback);
+  const customDetector = (tokens: string[]) => {
+    return tokens.map((t) =>
+      t === "my-custom-string-to-be-detected" ? "custom-entity" : undefined
+    );
+  };
+  const options = {
+    chatModel: mockLLM,
+    entities: ["custom-entity" as const],
+    detect: customDetector,
+  };
+
+  const arcjetRedact = new ArcjetRedact(options);
+  const output = await arcjetRedact.invoke([
+    "custom my-custom-string-to-be-detected",
+  ]);
+
+  expect(output.content).toEqual("custom my-custom-string-to-be-detected");
+});
+
+test("it handles custom replace functions correctly", async () => {
+  const generationA = {
+    message: new GenericMessage(
+      "custom is <Redacted custom-entity #1> email is redacted@example.com"
+    ),
+    text: "custom is <Redacted custom-entity #1> email is redacted@example.com",
+  };
+
+  const callback = (input: BaseMessage[]) => {
+    expect(input[0].content).toEqual(
+      "custom <Redacted custom-entity #1> email redacted@example.com"
+    );
+    return [generationA];
+  };
+
+  const mockLLM = new MockChatModel(callback);
+  const customDetector = (tokens: string[]) => {
+    return tokens.map((t) =>
+      t === "my-custom-string-to-be-detected" ? "custom-entity" : undefined
+    );
+  };
+  const customReplacer = (detected: string) => {
+    return detected === "email" ? "redacted@example.com" : undefined;
+  };
+  const options = {
+    chatModel: mockLLM,
+    entities: ["custom-entity" as const, "email" as const],
+    detect: customDetector,
+    replace: customReplacer,
+  };
+
+  const arcjetRedact = new ArcjetRedact(options);
+  const output = await arcjetRedact.invoke([
+    "custom my-custom-string-to-be-detected email test@example.com",
+  ]);
+
+  expect(output.content).toEqual(
+    "custom is my-custom-string-to-be-detected email is test@example.com"
+  );
+});
diff --git a/libs/langchain-community/src/llms/arcjet.ts b/libs/langchain-community/src/llms/arcjet.ts
new file mode 100644
index 000000000000..3c8c0aad9a93
--- /dev/null
+++ b/libs/langchain-community/src/llms/arcjet.ts
@@ -0,0 +1,80 @@
+import {
+  LLM,
+  BaseLLM,
+  type BaseLLMCallOptions,
+} from "@langchain/core/language_models/llms";
+import type { ArcjetSensitiveInfoType, RedactOptions } from "@arcjet/redact";
+
+type DetectSensitiveInfoEntities<T> = (
+  tokens: string[]
+) => Array<ArcjetSensitiveInfoType | T | undefined>;
+type ValidEntities<Detect> = Array<
+  undefined extends Detect
+    ? ArcjetSensitiveInfoType
+    : Detect extends DetectSensitiveInfoEntities<infer CustomEntities>
+    ? ArcjetSensitiveInfoType | CustomEntities
+    : never
+>;
+
+export type { ArcjetSensitiveInfoType, RedactOptions };
+
+export interface ArcjetRedactOptions<Detect> extends BaseLLMCallOptions {
+  llm: BaseLLM;
+  entities?: ValidEntities<Detect>;
+  contextWindowSize?: number;
+  detect?: Detect;
+  replace?: (entity: ValidEntities<Detect>[number]) => string | undefined;
+}
+
+export class ArcjetRedact<
+  Detect extends DetectSensitiveInfoEntities<CustomEntities> | undefined,
+  CustomEntities extends string
+> extends LLM {
+  static lc_name() {
+    return "ArcjetRedact";
+  }
+
+  llm: BaseLLM;
+
+  entities?: ValidEntities<Detect>;
+
+  contextWindowSize?: number;
+
+  detect?: Detect;
+
+  replace?: (entity: ValidEntities<Detect>[number]) => string | undefined;
+
+  constructor(options: ArcjetRedactOptions<Detect>) {
+    super(options);
+
+    if (options.entities && options.entities.length === 0) {
+      throw new Error("no entities configured for redaction");
+    }
+    this.llm = options.llm;
+    this.entities = options.entities;
+    this.contextWindowSize = options.contextWindowSize;
+    this.detect = options.detect;
+    this.replace = options.replace;
+  }
+
+  _llmType() {
+    return "arcjet_redact";
+  }
+
+  async _call(input: string, options?: BaseLLMCallOptions): Promise<string> {
+    const ajOptions: RedactOptions<Detect> = {
+      entities: this.entities,
+      contextWindowSize: this.contextWindowSize,
+      detect: this.detect,
+      replace: this.replace,
+    };
+
+    const { redact } = await import("@arcjet/redact");
+    const [redacted, unredact] = await redact(input, ajOptions);
+
+    // Invoke the underlying LLM with the prompt and options
+    const result = await this.llm.invoke(redacted, options);
+
+    return unredact(result);
+  }
+}
diff --git a/libs/langchain-community/src/llms/tests/arcjet.test.ts b/libs/langchain-community/src/llms/tests/arcjet.test.ts
new file mode 100644
index 000000000000..f3ca19c21ee7
--- /dev/null
+++ b/libs/langchain-community/src/llms/tests/arcjet.test.ts
@@ -0,0 +1,181 @@
+import { test } from "@jest/globals";
+import {
+  LLM,
+  type BaseLLMCallOptions,
+} from "@langchain/core/language_models/llms";
+import { ArcjetRedact } from "../arcjet.js";
+
+// Mock LLM for testing purposes
+export class MockLLM extends LLM {
+  static lc_name() {
+    return "MockLLM";
+  }
+
+  lc_serializable = true;
+
+  callback?: (input: string) => string;
+
+  constructor(callback?: (input: string) => string) {
+    super({});
+    this.callback = callback;
+  }
+
+  _llmType() {
+    return "mock_llm";
+  }
+
+  async _call(input: string, _options?: BaseLLMCallOptions): Promise<string> {
+    if (typeof this.callback !== "undefined") {
+      return this.callback(input);
+    } else {
+      throw new Error("no callback");
+    }
+  }
+}
+
+test("It calls the base LLM correctly", async () => {
+  const callback = (input: string) => {
+    expect(input).toEqual("this is the input");
+    return "this is the output";
+  };
+  const mockLLM = new MockLLM(callback);
+  const options = {
+    llm: mockLLM,
+  };
+
+  const arcjetRedact = new ArcjetRedact(options);
+  const output = await arcjetRedact.invoke("this is the input");
+
+  expect(output).toEqual("this is the output");
+});
+
+test("It performs redactions and unredactions", async () => {
+  const callback = (input: string) => {
+    expect(input).toEqual("email <Redacted email #0>");
+    return "your email is <Redacted email #0>";
+  };
+  const mockLLM = new MockLLM(callback);
+  const options = {
+    llm: mockLLM,
+  };
+
+  const arcjetRedact = new ArcjetRedact(options);
+  const output = await arcjetRedact.invoke("email test@example.com");
+
+  expect(output).toEqual("your email is test@example.com");
+});
+
+test("It only redacts configured entities", async () => {
+  const callback = (input: string) => {
+    expect(input).toEqual(
+      "email test@example.com phone <Redacted phone number #0>"
+    );
+    return "your phone number is <Redacted phone number #0>";
+  };
+  const mockLLM = new MockLLM(callback);
+  const options = {
+    llm: mockLLM,
+    entities: ["phone-number" as const],
+  };
+
+  const arcjetRedact = new ArcjetRedact(options);
+  const output = await arcjetRedact.invoke(
+    "email test@example.com phone +35312345678"
+  );
+
+  expect(output).toEqual("your phone number is +35312345678");
+});
+
+test("It redacts custom entities", async () => {
+  const callback = (input: string) => {
+    expect(input).toEqual("custom <Redacted custom-entity #0>");
+    return "custom is <Redacted custom-entity #0>";
+  };
+  const mockLLM = new MockLLM(callback);
+  const customDetector = (tokens: string[]) => {
+    return tokens.map((t) =>
+      t === "my-custom-string-to-be-detected" ? "custom-entity" : undefined
+    );
+  };
+  const options = {
+    llm: mockLLM,
+    entities: ["custom-entity" as const],
+    detect: customDetector,
+  };
+
+  const arcjetRedact = new ArcjetRedact(options);
+  const output = await arcjetRedact.invoke(
+    "custom my-custom-string-to-be-detected"
+  );
+
+  expect(output).toEqual("custom is my-custom-string-to-be-detected");
+});
+
+test("It provides the correct number of tokens to the context window", async () => {
+  const callback = (input: string) => {
+    expect(input).toEqual("this is a sentence for testing");
+    return "this is a sentence for testing";
+  };
+  const mockLLM = new MockLLM(callback);
+  const customDetector = (tokens: string[]) => {
+    expect(tokens).toHaveLength(4);
+    return tokens.map(() => undefined);
+  };
+  const options = {
+    llm: mockLLM,
+    entities: ["email" as const],
+    detect: customDetector,
+    contextWindowSize: 4,
+  };
+
+  const arcjetRedact = new ArcjetRedact(options);
+  const output = await arcjetRedact.invoke("this is a sentence for testing");
+
+  expect(output).toEqual("this is a sentence for testing");
+});
+
+test("It uses custom replacers", async () => {
+  const callback = (input: string) => {
+    expect(input).toEqual(
+      "custom <Redacted custom-entity #0> email redacted@example.com"
+    );
+    return "custom is <Redacted custom-entity #0> email is redacted@example.com";
+  };
+  const mockLLM = new MockLLM(callback);
+  const customDetector = (tokens: string[]) => {
+    return tokens.map((t) =>
+      t === "my-custom-string-to-be-detected" ? "custom-entity" : undefined
+    );
+  };
+  const customReplacer = (detected: string) => {
+    return detected === "email" ? "redacted@example.com" : undefined;
+  };
+  const options = {
+    llm: mockLLM,
+    entities: ["custom-entity" as const, "email" as const],
+    detect: customDetector,
+    replace: customReplacer,
+  };
+
+  const arcjetRedact = new ArcjetRedact(options);
+  const output = await arcjetRedact.invoke(
+    "custom my-custom-string-to-be-detected email test@example.com"
+  );
+
+  expect(output).toEqual(
+    "custom is my-custom-string-to-be-detected email is test@example.com"
+  );
+});
+
+test("It throws when no entities are configured", async () => {
+  const mockLLM = new MockLLM();
+  const options = {
+    llm: mockLLM,
+    entities: [],
+  };
+
+  expect(() => {
+    // eslint-disable-next-line no-new
+    new ArcjetRedact(options);
+  }).toThrow("no entities configured for redaction");
+});
diff --git a/libs/langchain-community/src/load/import_constants.ts b/libs/langchain-community/src/load/import_constants.ts
index 25ef64e5bac1..8b585f599afe 100644
--- a/libs/langchain-community/src/load/import_constants.ts
+++ b/libs/langchain-community/src/load/import_constants.ts
@@ -23,6 +23,7 @@ export const optionalImportEntrypoints: string[] = [
   "langchain_community/embeddings/tencent_hunyuan",
   "langchain_community/embeddings/tencent_hunyuan/web",
   "langchain_community/embeddings/zhipuai",
+  "langchain_community/llms/arcjet",
   "langchain_community/llms/bedrock",
   "langchain_community/llms/bedrock/web",
   "langchain_community/llms/cohere",
@@ -82,6 +83,7 @@ export const optionalImportEntrypoints: string[] = [
   "langchain_community/vectorstores/xata",
   "langchain_community/vectorstores/zep",
   "langchain_community/vectorstores/zep_cloud",
+  "langchain_community/chat_models/arcjet",
   "langchain_community/chat_models/bedrock",
   "langchain_community/chat_models/bedrock/web",
   "langchain_community/chat_models/googlevertexai",
diff --git a/yarn.lock b/yarn.lock
index 6a779f772556..d68702f3d306 100644
--- a/yarn.lock
+++ b/yarn.lock
@@ -286,6 +286,22 @@ __metadata:
   languageName: node
   linkType: hard
 
+"@arcjet/redact-wasm@npm:1.0.0-alpha.24":
+  version: 1.0.0-alpha.24
+  resolution: "@arcjet/redact-wasm@npm:1.0.0-alpha.24"
+  checksum: b0cf2a5b8eec1fcacdc130c3fce963cfe2bdc786aeb21296409b8bcc0053204ea6c1d7a816e9adf999fb56c8f73aaa950dfbbb7bd628d06ea21fb868cc4b7e5c
+  languageName: node
+  linkType: hard
+
+"@arcjet/redact@npm:^v1.0.0-alpha.23":
+  version: 1.0.0-alpha.24
+  resolution: "@arcjet/redact@npm:1.0.0-alpha.24"
+  dependencies:
+    "@arcjet/redact-wasm": 1.0.0-alpha.24
+  checksum: 06eedc5f65eb98ac3b3f2598981a3c4b7265f89a59b138dfb38c7e19e3c4342ccb5ddfc3a0ae94add47f931b095138794b8c88355003c27374c37ead02f2106c
+  languageName: node
+  linkType: hard
+
 "@aws-crypto/crc32@npm:3.0.0":
   version: 3.0.0
   resolution: "@aws-crypto/crc32@npm:3.0.0"
@@ -11174,6 +11190,7 @@ __metadata:
   version: 0.0.0-use.local
   resolution: "@langchain/community@workspace:libs/langchain-community"
   dependencies:
+    "@arcjet/redact": ^v1.0.0-alpha.23
     "@aws-crypto/sha256-js": ^5.0.0
     "@aws-sdk/client-bedrock-agent-runtime": ^3.583.0
     "@aws-sdk/client-bedrock-runtime": ^3.422.0
@@ -11349,6 +11366,7 @@ __metadata:
     zod: ^3.22.3
     zod-to-json-schema: ^3.22.5
   peerDependencies:
+    "@arcjet/redact": ^v1.0.0-alpha.23
     "@aws-crypto/sha256-js": ^5.0.0
     "@aws-sdk/client-bedrock-agent-runtime": ^3.583.0
     "@aws-sdk/client-bedrock-runtime": ^3.422.0
@@ -11470,6 +11488,8 @@ __metadata:
     youtube-transcript: ^1.0.6
     youtubei.js: ^9.1.0
   peerDependenciesMeta:
+    "@arcjet/redact":
+      optional: true
     "@aws-crypto/sha256-js":
       optional: true
     "@aws-sdk/client-bedrock-agent-runtime":

From 34421e04e6b0aea8f84bdd2bb9c74e35f206214a Mon Sep 17 00:00:00 2001
From: Raj Mehta <rajmehta231@gmail.com>
Date: Tue, 10 Sep 2024 15:38:42 -0700
Subject: [PATCH 153/344] feat(community): BM25 Keyword Search Retriever
 (#6719)

Co-authored-by: jacoblee93 <jacoblee93@gmail.com>
---
 .../docs/integrations/retrievers/bm25.ipynb   | 101 ++++++++++++++++++
 libs/langchain-community/.gitignore           |   4 +
 libs/langchain-community/langchain.config.js  |   1 +
 libs/langchain-community/package.json         |  13 +++
 .../src/load/import_map.ts                    |   1 +
 .../src/retrievers/bm25.ts                    |  58 ++++++++++
 .../src/retrievers/tests/bm25.test.ts         |  27 +++++
 .../src/utils/@furkantoprak/bm25/BM25.ts      | 100 +++++++++++++++++
 .../src/utils/@furkantoprak/bm25/LICENSE.md   |  21 ++++
 9 files changed, 326 insertions(+)
 create mode 100644 docs/core_docs/docs/integrations/retrievers/bm25.ipynb
 create mode 100644 libs/langchain-community/src/retrievers/bm25.ts
 create mode 100644 libs/langchain-community/src/retrievers/tests/bm25.test.ts
 create mode 100644 libs/langchain-community/src/utils/@furkantoprak/bm25/BM25.ts
 create mode 100644 libs/langchain-community/src/utils/@furkantoprak/bm25/LICENSE.md

diff --git a/docs/core_docs/docs/integrations/retrievers/bm25.ipynb b/docs/core_docs/docs/integrations/retrievers/bm25.ipynb
new file mode 100644
index 000000000000..b106554c6b40
--- /dev/null
+++ b/docs/core_docs/docs/integrations/retrievers/bm25.ipynb
@@ -0,0 +1,101 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# BM25\n",
+    "\n",
+    "BM25, also known as [Okapi BM25](https://en.wikipedia.org/wiki/Okapi_BM25), is a ranking function used in information retrieval systems to estimate the relevance of documents to a given search query.\n",
+    "\n",
+    "You can use it as part of your retrieval pipeline as a to rerank documents as a postprocessing step after retrieving an initial set of documents from another source.\n",
+    "\n",
+    "## Setup\n",
+    "\n",
+    "The `BM25Retriever` is exported from `@langchain/community`. You'll need to install it like this:\n",
+    "\n",
+    "```{=mdx}\n",
+    "import IntegrationInstallTooltip from \"@mdx_components/integration_install_tooltip.mdx\";\n",
+    "import Npm2Yarn from \"@theme/Npm2Yarn\";\n",
+    "\n",
+    "<IntegrationInstallTooltip></IntegrationInstallTooltip>\n",
+    "\n",
+    "<Npm2Yarn>\n",
+    "  @langchain/community @langchain/core\n",
+    "</Npm2Yarn>\n",
+    "```\n",
+    "\n",
+    "This retriever uses code from [`this implementation`](https://github.com/FurkanToprak/OkapiBM25) of Okapi BM25.\n",
+    "\n",
+    "## Usage\n",
+    "\n",
+    "You can now create a new retriever with previously retrieved documents:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[\n",
+      "  { pageContent: 'mitochondria is made of lipids', metadata: {} },\n",
+      "  {\n",
+      "    pageContent: 'mitochondria is the powerhouse of the cell',\n",
+      "    metadata: {}\n",
+      "  },\n",
+      "  { pageContent: 'Buildings are made out of brick', metadata: {} },\n",
+      "  { pageContent: 'Buildings are made out of wood', metadata: {} }\n",
+      "]\n"
+     ]
+    }
+   ],
+   "source": [
+    "import { BM25Retriever } from \"@langchain/community/retrievers/bm25\";\n",
+    "\n",
+    "const retriever = BM25Retriever.fromDocuments([\n",
+    "  { pageContent: \"Buildings are made out of brick\", metadata: {} },\n",
+    "  { pageContent: \"Buildings are made out of wood\", metadata: {} },\n",
+    "  { pageContent: \"Buildings are made out of stone\", metadata: {} },\n",
+    "  { pageContent: \"Cars are made out of metal\", metadata: {} },\n",
+    "  { pageContent: \"Cars are made out of plastic\", metadata: {} },\n",
+    "  { pageContent: \"mitochondria is the powerhouse of the cell\", metadata: {} },\n",
+    "  { pageContent: \"mitochondria is made of lipids\", metadata: {} },\n",
+    "], { k: 4 });\n",
+    "\n",
+    "// Will return the 4 documents reranked by the BM25 algorithm\n",
+    "await retriever.invoke(\"mitochondria\");"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "TypeScript",
+   "language": "typescript",
+   "name": "tslab"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "mode": "typescript",
+    "name": "javascript",
+    "typescript": true
+   },
+   "file_extension": ".ts",
+   "mimetype": "text/typescript",
+   "name": "typescript",
+   "version": "3.7.2"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/libs/langchain-community/.gitignore b/libs/langchain-community/.gitignore
index 299b955d097a..1bb10382f52e 100644
--- a/libs/langchain-community/.gitignore
+++ b/libs/langchain-community/.gitignore
@@ -626,6 +626,10 @@ retrievers/amazon_knowledge_base.cjs
 retrievers/amazon_knowledge_base.js
 retrievers/amazon_knowledge_base.d.ts
 retrievers/amazon_knowledge_base.d.cts
+retrievers/bm25.cjs
+retrievers/bm25.js
+retrievers/bm25.d.ts
+retrievers/bm25.d.cts
 retrievers/chaindesk.cjs
 retrievers/chaindesk.js
 retrievers/chaindesk.d.ts
diff --git a/libs/langchain-community/langchain.config.js b/libs/langchain-community/langchain.config.js
index 5c9818185cec..c4a964f747c4 100644
--- a/libs/langchain-community/langchain.config.js
+++ b/libs/langchain-community/langchain.config.js
@@ -196,6 +196,7 @@ export const config = {
     // retrievers
     "retrievers/amazon_kendra": "retrievers/amazon_kendra",
     "retrievers/amazon_knowledge_base": "retrievers/amazon_knowledge_base",
+    "retrievers/bm25": "retrievers/bm25",
     "retrievers/chaindesk": "retrievers/chaindesk",
     "retrievers/databerry": "retrievers/databerry",
     "retrievers/dria": "retrievers/dria",
diff --git a/libs/langchain-community/package.json b/libs/langchain-community/package.json
index 85444a2936a0..f8d2288a20c6 100644
--- a/libs/langchain-community/package.json
+++ b/libs/langchain-community/package.json
@@ -2118,6 +2118,15 @@
       "import": "./retrievers/amazon_knowledge_base.js",
       "require": "./retrievers/amazon_knowledge_base.cjs"
     },
+    "./retrievers/bm25": {
+      "types": {
+        "import": "./retrievers/bm25.d.ts",
+        "require": "./retrievers/bm25.d.cts",
+        "default": "./retrievers/bm25.d.ts"
+      },
+      "import": "./retrievers/bm25.js",
+      "require": "./retrievers/bm25.cjs"
+    },
     "./retrievers/chaindesk": {
       "types": {
         "import": "./retrievers/chaindesk.d.ts",
@@ -3713,6 +3722,10 @@
     "retrievers/amazon_knowledge_base.js",
     "retrievers/amazon_knowledge_base.d.ts",
     "retrievers/amazon_knowledge_base.d.cts",
+    "retrievers/bm25.cjs",
+    "retrievers/bm25.js",
+    "retrievers/bm25.d.ts",
+    "retrievers/bm25.d.cts",
     "retrievers/chaindesk.cjs",
     "retrievers/chaindesk.js",
     "retrievers/chaindesk.d.ts",
diff --git a/libs/langchain-community/src/load/import_map.ts b/libs/langchain-community/src/load/import_map.ts
index 59efd56b760e..5bbd9e4d0a01 100644
--- a/libs/langchain-community/src/load/import_map.ts
+++ b/libs/langchain-community/src/load/import_map.ts
@@ -54,6 +54,7 @@ export * as chat_models__moonshot from "../chat_models/moonshot.js";
 export * as chat_models__ollama from "../chat_models/ollama.js";
 export * as chat_models__togetherai from "../chat_models/togetherai.js";
 export * as chat_models__yandex from "../chat_models/yandex.js";
+export * as retrievers__bm25 from "../retrievers/bm25.js";
 export * as retrievers__chaindesk from "../retrievers/chaindesk.js";
 export * as retrievers__databerry from "../retrievers/databerry.js";
 export * as retrievers__remote from "../retrievers/remote/index.js";
diff --git a/libs/langchain-community/src/retrievers/bm25.ts b/libs/langchain-community/src/retrievers/bm25.ts
new file mode 100644
index 000000000000..dfc04709cba1
--- /dev/null
+++ b/libs/langchain-community/src/retrievers/bm25.ts
@@ -0,0 +1,58 @@
+import { BaseRetriever, BaseRetrieverInput } from "@langchain/core/retrievers";
+import { Document } from "@langchain/core/documents";
+
+import { BM25 } from "../utils/@furkantoprak/bm25/BM25.js";
+
+export type BM25RetrieverOptions = {
+  docs: Document[];
+  k: number;
+} & BaseRetrieverInput;
+
+/**
+ * A retriever that uses the BM25 algorithm to rank documents based on their
+ * similarity to a query. It uses the "okapibm25" package for BM25 scoring.
+ * The k parameter determines the number of documents to return for each query.
+ */
+export class BM25Retriever extends BaseRetriever {
+  static lc_name() {
+    return "BM25Retriever";
+  }
+
+  lc_namespace = ["langchain", "retrievers", "bm25_retriever"];
+
+  static fromDocuments(
+    documents: Document[],
+    options: Omit<BM25RetrieverOptions, "docs">
+  ) {
+    return new this({ ...options, docs: documents });
+  }
+
+  docs: Document[];
+
+  k: number;
+
+  constructor(options: BM25RetrieverOptions) {
+    super(options);
+    this.docs = options.docs;
+    this.k = options.k;
+  }
+
+  private preprocessFunc(text: string): string[] {
+    return text.toLowerCase().split(/\s+/);
+  }
+
+  async _getRelevantDocuments(query: string) {
+    const processedQuery = this.preprocessFunc(query);
+    const documents = this.docs.map((doc) => doc.pageContent);
+    const scores = BM25(documents, processedQuery) as number[];
+
+    const scoredDocs = this.docs.map((doc, index) => ({
+      document: doc,
+      score: scores[index],
+    }));
+
+    scoredDocs.sort((a, b) => b.score - a.score);
+
+    return scoredDocs.slice(0, this.k).map((item) => item.document);
+  }
+}
diff --git a/libs/langchain-community/src/retrievers/tests/bm25.test.ts b/libs/langchain-community/src/retrievers/tests/bm25.test.ts
new file mode 100644
index 000000000000..bcfe46f940b8
--- /dev/null
+++ b/libs/langchain-community/src/retrievers/tests/bm25.test.ts
@@ -0,0 +1,27 @@
+import { expect, test } from "@jest/globals";
+import { Document } from "@langchain/core/documents";
+import { BM25Retriever } from "../bm25.js";
+
+test("BM25Retriever", async () => {
+  const docs = [
+    new Document({
+      pageContent: "The quick brown fox jumps over the lazy dog",
+    }),
+    new Document({
+      pageContent: "A lazy dog sleeps all day",
+    }),
+    new Document({
+      pageContent: "The brown fox is quick and clever",
+    }),
+  ];
+
+  const retriever = BM25Retriever.fromDocuments(docs, {
+    k: 2,
+  });
+  const results = await retriever.invoke("the fox and the dog");
+
+  expect(results).toHaveLength(2);
+  expect(results[0].pageContent).toBe(
+    "The quick brown fox jumps over the lazy dog"
+  );
+});
diff --git a/libs/langchain-community/src/utils/@furkantoprak/bm25/BM25.ts b/libs/langchain-community/src/utils/@furkantoprak/bm25/BM25.ts
new file mode 100644
index 000000000000..e3e2621168e7
--- /dev/null
+++ b/libs/langchain-community/src/utils/@furkantoprak/bm25/BM25.ts
@@ -0,0 +1,100 @@
+/**
+ * Adapted from
+ * https://github.com/FurkanToprak/OkapiBM25
+ *
+ * Inlined due to CJS import issues.
+ */
+
+/** Gets word count. */
+export const getWordCount = (corpus: string) => {
+  return ((corpus || "").match(/\w+/g) || []).length;
+};
+
+/** Number of occurences of a word in a string. */
+export const getTermFrequency = (term: string, corpus: string) => {
+  return ((corpus || "").match(new RegExp(term, "g")) || []).length;
+};
+
+/** Inverse document frequency. */
+export const getIDF = (term: string, documents: string[]) => {
+  // Number of relevant documents.
+  const relevantDocuments = documents.filter((document: string) =>
+    document.includes(term)
+  ).length;
+  return Math.log(
+    (documents.length - relevantDocuments + 0.5) / (relevantDocuments + 0.5) + 1
+  );
+};
+
+/** Represents a document; useful when sorting results.
+ */
+export interface BMDocument {
+  /** The document is originally scoreed. */
+  document: string;
+  /** The score that the document recieves. */
+  score: number;
+}
+
+/** Constants that are free parameters used in BM25, specifically when generating inverse document frequency. */
+export interface BMConstants {
+  /** Free parameter. Is 0.75 by default.  */
+  b?: number;
+  /** Free parameter. Is 1.2 by default. Generally in range [1.2, 2.0] */
+  k1?: number;
+}
+
+/** If returns positive, the sorting results in secondEl coming before firstEl, else, firstEl comes before secondEL  */
+export type BMSorter = (firstEl: BMDocument, secondEl: BMDocument) => number;
+
+/** Implementation of Okapi BM25 algorithm.
+ *  @param documents: Collection of documents.
+ *  @param keywords: query terms.
+ *  @param constants: Contains free parameters k1 and b. b=0.75 and k1=1.2 by default.
+ *  @param sort: A function that allows you to sort queries by a given rule. If not provided, returns results corresponding to the original order.
+ * If this option is provided, the return type will not be an array of scores but an array of documents with their scores.
+ */
+export function BM25(
+  documents: string[],
+  keywords: string[],
+  constants?: BMConstants,
+  sorter?: BMSorter
+): number[] | BMDocument[] {
+  const b = constants && constants.b ? constants.b : 0.75;
+  const k1 = constants && constants.k1 ? constants.k1 : 1.2;
+  const documentLengths = documents.map((document: string) =>
+    getWordCount(document)
+  );
+  const averageDocumentLength =
+    documentLengths.reduce((a, b) => a + b, 0) / documents.length;
+  const idfByKeyword = keywords.reduce((obj, keyword) => {
+    obj.set(keyword, getIDF(keyword, documents));
+    return obj;
+  }, new Map<string, number>());
+
+  const scores = documents.map((document: string, index: number) => {
+    const score = keywords
+      .map((keyword: string) => {
+        const inverseDocumentFrequency = idfByKeyword.get(keyword);
+        if (inverseDocumentFrequency === undefined) {
+          throw new Error("Missing keyword.");
+        }
+        const termFrequency = getTermFrequency(keyword, document);
+        const documentLength = documentLengths[index];
+        return (
+          (inverseDocumentFrequency * (termFrequency * (k1 + 1))) /
+          (termFrequency +
+            k1 * (1 - b + (b * documentLength) / averageDocumentLength))
+        );
+      })
+      .reduce((a: number, b: number) => a + b, 0);
+    if (sorter) {
+      return { score, document } as BMDocument;
+    }
+    return score;
+  });
+  // sort the results
+  if (sorter) {
+    return (scores as BMDocument[]).sort(sorter);
+  }
+  return scores as number[];
+}
diff --git a/libs/langchain-community/src/utils/@furkantoprak/bm25/LICENSE.md b/libs/langchain-community/src/utils/@furkantoprak/bm25/LICENSE.md
new file mode 100644
index 000000000000..8dd59105dd36
--- /dev/null
+++ b/libs/langchain-community/src/utils/@furkantoprak/bm25/LICENSE.md
@@ -0,0 +1,21 @@
+# MIT License
+
+## Copyright (c) 2020 Furkan Toprak
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

From e5b5cd80f62908f0f85884ca1281625bbe7b9dd2 Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Tue, 10 Sep 2024 15:39:02 -0700
Subject: [PATCH 154/344] chore(baidu-qianfan): Release 0.0.4 (#6726)

---
 libs/langchain-baidu-qianfan/package.json | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/libs/langchain-baidu-qianfan/package.json b/libs/langchain-baidu-qianfan/package.json
index e6648d52a569..1de6beb41ab3 100644
--- a/libs/langchain-baidu-qianfan/package.json
+++ b/libs/langchain-baidu-qianfan/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/baidu-qianfan",
-  "version": "0.0.3",
+  "version": "0.0.4",
   "description": "Baidu Qianfan integration for LangChain.js",
   "type": "module",
   "engines": {

From baa0d7b25fae080580b4cb9b170ebc946e65b76b Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Tue, 10 Sep 2024 15:42:06 -0700
Subject: [PATCH 155/344] chore(anthropic): Release 0.2.18 (#6727)

---
 libs/langchain-anthropic/package.json | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/libs/langchain-anthropic/package.json b/libs/langchain-anthropic/package.json
index 2bce3129b107..d2c27b0aeb4d 100644
--- a/libs/langchain-anthropic/package.json
+++ b/libs/langchain-anthropic/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/anthropic",
-  "version": "0.2.17",
+  "version": "0.2.18",
   "description": "Anthropic integrations for LangChain.js",
   "type": "module",
   "engines": {

From 60601bc12adafa505ef32bd76d107d5d25913e44 Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Tue, 10 Sep 2024 15:50:02 -0700
Subject: [PATCH 156/344] chore(core): Release 0.2.32 (#6728)

---
 langchain-core/package.json | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/langchain-core/package.json b/langchain-core/package.json
index 9bc186af33be..e035b5197e98 100644
--- a/langchain-core/package.json
+++ b/langchain-core/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/core",
-  "version": "0.2.31",
+  "version": "0.2.32",
   "description": "Core LangChain.js abstractions and schemas",
   "type": "module",
   "engines": {

From f1cf907d23fafc45612f3abdf7ab4e62903d3983 Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Tue, 10 Sep 2024 16:26:36 -0700
Subject: [PATCH 157/344] chore(community): Release 0.2.33 (#6729)

---
 libs/langchain-community/package.json | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/libs/langchain-community/package.json b/libs/langchain-community/package.json
index f8d2288a20c6..c4c08c23fc1c 100644
--- a/libs/langchain-community/package.json
+++ b/libs/langchain-community/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/community",
-  "version": "0.2.32",
+  "version": "0.2.33",
   "description": "Third-party integrations for LangChain.js",
   "type": "module",
   "engines": {

From 3b892eecb0af4c8ba4d783611f096627b9449ed0 Mon Sep 17 00:00:00 2001
From: James Ross <james@jross.me>
Date: Wed, 11 Sep 2024 01:02:51 +0100
Subject: [PATCH 158/344] cloudflare[minor]: use native Cloudflare Workers AI
 binding (#5287)

Co-authored-by: Brace Sproul <braceasproul@gmail.com>
Co-authored-by: jacoblee93 <jacoblee93@gmail.com>
---
 langchain/package.json                      |  2 +-
 libs/langchain-cloudflare/package.json      |  3 +--
 libs/langchain-cloudflare/src/embeddings.ts |  7 +++----
 yarn.lock                                   | 20 ++++++--------------
 4 files changed, 11 insertions(+), 21 deletions(-)

diff --git a/langchain/package.json b/langchain/package.json
index 91c99b175d6e..def762229f25 100644
--- a/langchain/package.json
+++ b/langchain/package.json
@@ -600,7 +600,7 @@
     "@aws-sdk/types": "^3.357.0",
     "@azure/storage-blob": "^12.15.0",
     "@browserbasehq/sdk": "^1.1.5",
-    "@cloudflare/workers-types": "^4.20230922.0",
+    "@cloudflare/workers-types": "^4.20240909.0",
     "@faker-js/faker": "^7.6.0",
     "@gomomento/sdk": "^1.51.1",
     "@gomomento/sdk-core": "^1.51.1",
diff --git a/libs/langchain-cloudflare/package.json b/libs/langchain-cloudflare/package.json
index d6c9a84ca0d1..e0dd6e229504 100644
--- a/libs/langchain-cloudflare/package.json
+++ b/libs/langchain-cloudflare/package.json
@@ -35,12 +35,11 @@
   "author": "LangChain",
   "license": "MIT",
   "dependencies": {
-    "@cloudflare/ai": "1.0.47",
     "@langchain/core": ">0.1.0 <0.3.0",
     "uuid": "^10.0.0"
   },
   "devDependencies": {
-    "@cloudflare/workers-types": "^4.20231218.0",
+    "@cloudflare/workers-types": "^4.20240909.0",
     "@jest/globals": "^29.5.0",
     "@langchain/langgraph": "~0.0.31",
     "@langchain/scripts": ">=0.1.0 <0.2.0",
diff --git a/libs/langchain-cloudflare/src/embeddings.ts b/libs/langchain-cloudflare/src/embeddings.ts
index 1c1ba479f8d5..1db9fb121b6a 100644
--- a/libs/langchain-cloudflare/src/embeddings.ts
+++ b/libs/langchain-cloudflare/src/embeddings.ts
@@ -1,5 +1,4 @@
-import { Ai } from "@cloudflare/ai";
-import { Fetcher } from "@cloudflare/workers-types";
+import { Ai } from "@cloudflare/workers-types";
 import { Embeddings, EmbeddingsParams } from "@langchain/core/embeddings";
 import { chunkArray } from "@langchain/core/utils/chunk_array";
 
@@ -14,7 +13,7 @@ type AiTextEmbeddingsOutput = {
 
 export interface CloudflareWorkersAIEmbeddingsParams extends EmbeddingsParams {
   /** Binding */
-  binding: Fetcher;
+  binding: Ai;
 
   /**
    * Model name to use
@@ -57,7 +56,7 @@ export class CloudflareWorkersAIEmbeddings extends Embeddings {
         "Must supply a Workers AI binding, eg { binding: env.AI }"
       );
     }
-    this.ai = new Ai(fields.binding);
+    this.ai = fields.binding;
     this.modelName = fields?.model ?? fields.modelName ?? this.model;
     this.model = this.modelName;
     this.stripNewLines = fields.stripNewLines ?? this.stripNewLines;
diff --git a/yarn.lock b/yarn.lock
index d68702f3d306..60ad225ca0ee 100644
--- a/yarn.lock
+++ b/yarn.lock
@@ -8473,13 +8473,6 @@ __metadata:
   languageName: node
   linkType: hard
 
-"@cloudflare/ai@npm:1.0.47":
-  version: 1.0.47
-  resolution: "@cloudflare/ai@npm:1.0.47"
-  checksum: a9e371f789256bb5795c0cb60d975749b07d6cb50141b997da6b5c94380ddf18e851cba518e246414fcab4239d8f4438c5fe29172e6f06c136be3be19a3b65e0
-  languageName: node
-  linkType: hard
-
 "@cloudflare/workers-types@npm:^4.20230922.0":
   version: 4.20230922.0
   resolution: "@cloudflare/workers-types@npm:4.20230922.0"
@@ -8487,10 +8480,10 @@ __metadata:
   languageName: node
   linkType: hard
 
-"@cloudflare/workers-types@npm:^4.20231218.0":
-  version: 4.20231218.0
-  resolution: "@cloudflare/workers-types@npm:4.20231218.0"
-  checksum: b7e50a76ee8e9d662227bbb74798b93b6102acc224f1071a9c99a9adb419ad0b3bdabf7561e7e1b4a320a6a4616badeecdfb1848fbdaada197c7b37d845b8774
+"@cloudflare/workers-types@npm:^4.20240909.0":
+  version: 4.20240909.0
+  resolution: "@cloudflare/workers-types@npm:4.20240909.0"
+  checksum: 82fe9b22510d6a23533830684018651bf8a679692cc487cf82d15816e4c91b95ca5e759a6702d6b1268cd93cda8f0b45f3bf9e6ac27e926112ed4f3c7ef65968
   languageName: node
   linkType: hard
 
@@ -11113,8 +11106,7 @@ __metadata:
   version: 0.0.0-use.local
   resolution: "@langchain/cloudflare@workspace:libs/langchain-cloudflare"
   dependencies:
-    "@cloudflare/ai": 1.0.47
-    "@cloudflare/workers-types": ^4.20231218.0
+    "@cloudflare/workers-types": ^4.20240909.0
     "@jest/globals": ^29.5.0
     "@langchain/core": ">0.1.0 <0.3.0"
     "@langchain/langgraph": ~0.0.31
@@ -32219,7 +32211,7 @@ __metadata:
     "@aws-sdk/types": ^3.357.0
     "@azure/storage-blob": ^12.15.0
     "@browserbasehq/sdk": ^1.1.5
-    "@cloudflare/workers-types": ^4.20230922.0
+    "@cloudflare/workers-types": ^4.20240909.0
     "@faker-js/faker": ^7.6.0
     "@gomomento/sdk": ^1.51.1
     "@gomomento/sdk-core": ^1.51.1

From 2e6713368e320bc27223707e9ceb6511fcabc76a Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Tue, 10 Sep 2024 17:05:56 -0700
Subject: [PATCH 159/344] docs: Fix typo in chatbot tutorial (#6730)

---
 docs/core_docs/docs/tutorials/chatbot.ipynb | 278 +++++++++-----------
 1 file changed, 121 insertions(+), 157 deletions(-)

diff --git a/docs/core_docs/docs/tutorials/chatbot.ipynb b/docs/core_docs/docs/tutorials/chatbot.ipynb
index bec77577e978..d63a1ea3295d 100644
--- a/docs/core_docs/docs/tutorials/chatbot.ipynb
+++ b/docs/core_docs/docs/tutorials/chatbot.ipynb
@@ -98,52 +98,49 @@
    "cell_type": "code",
    "execution_count": 1,
    "metadata": {},
+   "outputs": [],
+   "source": [
+    "// @lc-docs-hide-cell\n",
+    "\n",
+    "import { ChatOpenAI } from \"@langchain/openai\";\n",
+    "\n",
+    "const model = new ChatOpenAI({\n",
+    "  model: \"gpt-4o-mini\",\n",
+    "  temperature: 0,\n",
+    "});"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
        "AIMessage {\n",
-       "  lc_serializable: \u001b[33mtrue\u001b[39m,\n",
-       "  lc_kwargs: {\n",
-       "    content: \u001b[32m\"Hello Bob, it's nice to meet you! I'm an AI assistant created by Anthropic. How are you doing today?\"\u001b[39m,\n",
-       "    tool_calls: [],\n",
-       "    invalid_tool_calls: [],\n",
-       "    additional_kwargs: {\n",
-       "      id: \u001b[32m\"msg_015Qvu91azZviks5VzGvYT7z\"\u001b[39m,\n",
-       "      type: \u001b[32m\"message\"\u001b[39m,\n",
-       "      role: \u001b[32m\"assistant\"\u001b[39m,\n",
-       "      model: \u001b[32m\"claude-3-sonnet-20240229\"\u001b[39m,\n",
-       "      stop_sequence: \u001b[1mnull\u001b[22m,\n",
-       "      usage: { input_tokens: \u001b[33m12\u001b[39m, output_tokens: \u001b[33m30\u001b[39m },\n",
-       "      stop_reason: \u001b[32m\"end_turn\"\u001b[39m\n",
+       "  \"id\": \"chatcmpl-A64of8iD4GIFNSYlOaFHxPdCeyl9E\",\n",
+       "  \"content\": \"Hi Bob! How can I assist you today?\",\n",
+       "  \"additional_kwargs\": {},\n",
+       "  \"response_metadata\": {\n",
+       "    \"tokenUsage\": {\n",
+       "      \"completionTokens\": 10,\n",
+       "      \"promptTokens\": 11,\n",
+       "      \"totalTokens\": 21\n",
        "    },\n",
-       "    response_metadata: {}\n",
-       "  },\n",
-       "  lc_namespace: [ \u001b[32m\"langchain_core\"\u001b[39m, \u001b[32m\"messages\"\u001b[39m ],\n",
-       "  content: \u001b[32m\"Hello Bob, it's nice to meet you! I'm an AI assistant created by Anthropic. How are you doing today?\"\u001b[39m,\n",
-       "  name: \u001b[90mundefined\u001b[39m,\n",
-       "  additional_kwargs: {\n",
-       "    id: \u001b[32m\"msg_015Qvu91azZviks5VzGvYT7z\"\u001b[39m,\n",
-       "    type: \u001b[32m\"message\"\u001b[39m,\n",
-       "    role: \u001b[32m\"assistant\"\u001b[39m,\n",
-       "    model: \u001b[32m\"claude-3-sonnet-20240229\"\u001b[39m,\n",
-       "    stop_sequence: \u001b[1mnull\u001b[22m,\n",
-       "    usage: { input_tokens: \u001b[33m12\u001b[39m, output_tokens: \u001b[33m30\u001b[39m },\n",
-       "    stop_reason: \u001b[32m\"end_turn\"\u001b[39m\n",
+       "    \"finish_reason\": \"stop\"\n",
        "  },\n",
-       "  response_metadata: {\n",
-       "    id: \u001b[32m\"msg_015Qvu91azZviks5VzGvYT7z\"\u001b[39m,\n",
-       "    model: \u001b[32m\"claude-3-sonnet-20240229\"\u001b[39m,\n",
-       "    stop_sequence: \u001b[1mnull\u001b[22m,\n",
-       "    usage: { input_tokens: \u001b[33m12\u001b[39m, output_tokens: \u001b[33m30\u001b[39m },\n",
-       "    stop_reason: \u001b[32m\"end_turn\"\u001b[39m\n",
-       "  },\n",
-       "  tool_calls: [],\n",
-       "  invalid_tool_calls: []\n",
+       "  \"tool_calls\": [],\n",
+       "  \"invalid_tool_calls\": [],\n",
+       "  \"usage_metadata\": {\n",
+       "    \"input_tokens\": 11,\n",
+       "    \"output_tokens\": 10,\n",
+       "    \"total_tokens\": 21\n",
+       "  }\n",
        "}"
       ]
      },
-     "execution_count": 1,
+     "execution_count": 2,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -163,54 +160,35 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
        "AIMessage {\n",
-       "  lc_serializable: \u001b[33mtrue\u001b[39m,\n",
-       "  lc_kwargs: {\n",
-       "    content: \u001b[32m\"I'm afraid I don't actually know your name. I'm Claude, an AI assistant created by Anthropic.\"\u001b[39m,\n",
-       "    tool_calls: [],\n",
-       "    invalid_tool_calls: [],\n",
-       "    additional_kwargs: {\n",
-       "      id: \u001b[32m\"msg_01TNDCwsU7ruVoqJwjKqNrzJ\"\u001b[39m,\n",
-       "      type: \u001b[32m\"message\"\u001b[39m,\n",
-       "      role: \u001b[32m\"assistant\"\u001b[39m,\n",
-       "      model: \u001b[32m\"claude-3-sonnet-20240229\"\u001b[39m,\n",
-       "      stop_sequence: \u001b[1mnull\u001b[22m,\n",
-       "      usage: { input_tokens: \u001b[33m12\u001b[39m, output_tokens: \u001b[33m27\u001b[39m },\n",
-       "      stop_reason: \u001b[32m\"end_turn\"\u001b[39m\n",
+       "  \"id\": \"chatcmpl-A64ogC7owxmPla3ggZERNCFZpVHSp\",\n",
+       "  \"content\": \"I'm sorry, but I don't have access to personal information about users unless it has been shared with me in the course of our conversation. If you'd like to tell me your name, feel free!\",\n",
+       "  \"additional_kwargs\": {},\n",
+       "  \"response_metadata\": {\n",
+       "    \"tokenUsage\": {\n",
+       "      \"completionTokens\": 39,\n",
+       "      \"promptTokens\": 11,\n",
+       "      \"totalTokens\": 50\n",
        "    },\n",
-       "    response_metadata: {}\n",
-       "  },\n",
-       "  lc_namespace: [ \u001b[32m\"langchain_core\"\u001b[39m, \u001b[32m\"messages\"\u001b[39m ],\n",
-       "  content: \u001b[32m\"I'm afraid I don't actually know your name. I'm Claude, an AI assistant created by Anthropic.\"\u001b[39m,\n",
-       "  name: \u001b[90mundefined\u001b[39m,\n",
-       "  additional_kwargs: {\n",
-       "    id: \u001b[32m\"msg_01TNDCwsU7ruVoqJwjKqNrzJ\"\u001b[39m,\n",
-       "    type: \u001b[32m\"message\"\u001b[39m,\n",
-       "    role: \u001b[32m\"assistant\"\u001b[39m,\n",
-       "    model: \u001b[32m\"claude-3-sonnet-20240229\"\u001b[39m,\n",
-       "    stop_sequence: \u001b[1mnull\u001b[22m,\n",
-       "    usage: { input_tokens: \u001b[33m12\u001b[39m, output_tokens: \u001b[33m27\u001b[39m },\n",
-       "    stop_reason: \u001b[32m\"end_turn\"\u001b[39m\n",
+       "    \"finish_reason\": \"stop\"\n",
        "  },\n",
-       "  response_metadata: {\n",
-       "    id: \u001b[32m\"msg_01TNDCwsU7ruVoqJwjKqNrzJ\"\u001b[39m,\n",
-       "    model: \u001b[32m\"claude-3-sonnet-20240229\"\u001b[39m,\n",
-       "    stop_sequence: \u001b[1mnull\u001b[22m,\n",
-       "    usage: { input_tokens: \u001b[33m12\u001b[39m, output_tokens: \u001b[33m27\u001b[39m },\n",
-       "    stop_reason: \u001b[32m\"end_turn\"\u001b[39m\n",
-       "  },\n",
-       "  tool_calls: [],\n",
-       "  invalid_tool_calls: []\n",
+       "  \"tool_calls\": [],\n",
+       "  \"invalid_tool_calls\": [],\n",
+       "  \"usage_metadata\": {\n",
+       "    \"input_tokens\": 11,\n",
+       "    \"output_tokens\": 39,\n",
+       "    \"total_tokens\": 50\n",
+       "  }\n",
        "}"
       ]
      },
-     "execution_count": 2,
+     "execution_count": 3,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -233,54 +211,35 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
        "AIMessage {\n",
-       "  lc_serializable: \u001b[33mtrue\u001b[39m,\n",
-       "  lc_kwargs: {\n",
-       "    content: \u001b[32m\"You said your name is Bob.\"\u001b[39m,\n",
-       "    tool_calls: [],\n",
-       "    invalid_tool_calls: [],\n",
-       "    additional_kwargs: {\n",
-       "      id: \u001b[32m\"msg_01AEQMme3Z1MFKHW8PeDBJ7g\"\u001b[39m,\n",
-       "      type: \u001b[32m\"message\"\u001b[39m,\n",
-       "      role: \u001b[32m\"assistant\"\u001b[39m,\n",
-       "      model: \u001b[32m\"claude-3-sonnet-20240229\"\u001b[39m,\n",
-       "      stop_sequence: \u001b[1mnull\u001b[22m,\n",
-       "      usage: { input_tokens: \u001b[33m33\u001b[39m, output_tokens: \u001b[33m10\u001b[39m },\n",
-       "      stop_reason: \u001b[32m\"end_turn\"\u001b[39m\n",
+       "  \"id\": \"chatcmpl-A64ohhg3P4BuIiw8mUCLI3zYHNOvS\",\n",
+       "  \"content\": \"Your name is Bob! How can I help you today, Bob?\",\n",
+       "  \"additional_kwargs\": {},\n",
+       "  \"response_metadata\": {\n",
+       "    \"tokenUsage\": {\n",
+       "      \"completionTokens\": 14,\n",
+       "      \"promptTokens\": 33,\n",
+       "      \"totalTokens\": 47\n",
        "    },\n",
-       "    response_metadata: {}\n",
+       "    \"finish_reason\": \"stop\"\n",
        "  },\n",
-       "  lc_namespace: [ \u001b[32m\"langchain_core\"\u001b[39m, \u001b[32m\"messages\"\u001b[39m ],\n",
-       "  content: \u001b[32m\"You said your name is Bob.\"\u001b[39m,\n",
-       "  name: \u001b[90mundefined\u001b[39m,\n",
-       "  additional_kwargs: {\n",
-       "    id: \u001b[32m\"msg_01AEQMme3Z1MFKHW8PeDBJ7g\"\u001b[39m,\n",
-       "    type: \u001b[32m\"message\"\u001b[39m,\n",
-       "    role: \u001b[32m\"assistant\"\u001b[39m,\n",
-       "    model: \u001b[32m\"claude-3-sonnet-20240229\"\u001b[39m,\n",
-       "    stop_sequence: \u001b[1mnull\u001b[22m,\n",
-       "    usage: { input_tokens: \u001b[33m33\u001b[39m, output_tokens: \u001b[33m10\u001b[39m },\n",
-       "    stop_reason: \u001b[32m\"end_turn\"\u001b[39m\n",
-       "  },\n",
-       "  response_metadata: {\n",
-       "    id: \u001b[32m\"msg_01AEQMme3Z1MFKHW8PeDBJ7g\"\u001b[39m,\n",
-       "    model: \u001b[32m\"claude-3-sonnet-20240229\"\u001b[39m,\n",
-       "    stop_sequence: \u001b[1mnull\u001b[22m,\n",
-       "    usage: { input_tokens: \u001b[33m33\u001b[39m, output_tokens: \u001b[33m10\u001b[39m },\n",
-       "    stop_reason: \u001b[32m\"end_turn\"\u001b[39m\n",
-       "  },\n",
-       "  tool_calls: [],\n",
-       "  invalid_tool_calls: []\n",
+       "  \"tool_calls\": [],\n",
+       "  \"invalid_tool_calls\": [],\n",
+       "  \"usage_metadata\": {\n",
+       "    \"input_tokens\": 33,\n",
+       "    \"output_tokens\": 14,\n",
+       "    \"total_tokens\": 47\n",
+       "  }\n",
        "}"
       ]
      },
-     "execution_count": 3,
+     "execution_count": 4,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -330,7 +289,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -371,16 +330,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "\u001b[32m\"Hi Bob, nice to meet you! I'm an AI assistant. I'll remember that your name is Bob as we continue ou\"\u001b[39m... 110 more characters"
+       "\u001b[32m\"Hi Bob! How can I assist you today?\"\u001b[39m"
       ]
      },
-     "execution_count": 5,
+     "execution_count": 6,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -401,16 +360,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "\u001b[32m\"Your name is Bob. You introduced yourself as Bob at the start of our conversation.\"\u001b[39m"
+       "\u001b[32m\"Your name is Bob. How can I help you today?\"\u001b[39m"
       ]
      },
-     "execution_count": 6,
+     "execution_count": 7,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -432,16 +391,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "\u001b[32m\"I'm afraid I don't actually know your name. As an AI assistant without any prior context about you, \"\u001b[39m... 61 more characters"
+       "\u001b[32m\"I'm sorry, but I don't have your name. If you tell me, I'll remember it for our future conversations\"\u001b[39m... 1 more character"
       ]
      },
-     "execution_count": 7,
+     "execution_count": 8,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -469,16 +428,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "\u001b[32m`Your name is Bob. I clearly remember you telling me \"Hi! I'm Bob\" when we started talking.`\u001b[39m"
+       "\u001b[32m\"Your name is Bob. What would you like to talk about?\"\u001b[39m"
       ]
      },
-     "execution_count": 8,
+     "execution_count": 9,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -519,7 +478,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -551,7 +510,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -573,16 +532,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "\u001b[32m\"I'm afraid I don't actually know your name. You haven't provided that detail to me yet.\"\u001b[39m"
+       "\u001b[32m\"You haven't shared your name with me yet. What is it?\"\u001b[39m"
       ]
      },
-     "execution_count": 11,
+     "execution_count": 12,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -606,16 +565,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "\u001b[32m\"You said earlier that you like vanilla ice cream.\"\u001b[39m"
+       "\u001b[32m\"Your favorite ice cream is vanilla!\"\u001b[39m"
       ]
      },
-     "execution_count": 12,
+     "execution_count": 13,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -645,7 +604,7 @@
     {
      "data": {
       "text/plain": [
-       "\u001b[32m\"I'm afraid I don't actually know your name since you haven't provided it to me yet.  I don't have pe\"\u001b[39m... 66 more characters"
+       "\u001b[32m\"You haven't shared your name with me yet. What is it?\"\u001b[39m"
       ]
      },
      "execution_count": 14,
@@ -657,7 +616,7 @@
     "const messageHistories2: Record<string, InMemoryChatMessageHistory> = {};\n",
     "\n",
     "const withMessageHistory2 = new RunnableWithMessageHistory({\n",
-    "  runnable: chain,\n",
+    "  runnable: chain2,\n",
     "  getMessageHistory: async (sessionId) => {\n",
     "    if (messageHistories2[sessionId] === undefined) {\n",
     "      const messageHistory = new InMemoryChatMessageHistory();\n",
@@ -679,6 +638,7 @@
     "const response7 = await withMessageHistory2.invoke(\n",
     "  {\n",
     "    input: \"whats my name?\",\n",
+    "    chat_history: [],\n",
     "  },\n",
     "  config4,\n",
     ")\n",
@@ -701,7 +661,7 @@
     {
      "data": {
       "text/plain": [
-       "\u001b[32m\"I'm sorry, I don't have any information about your favorite ice cream flavor since you haven't share\"\u001b[39m... 167 more characters"
+       "\u001b[32m\"You haven't mentioned your favorite ice cream yet. What is it?\"\u001b[39m"
       ]
      },
      "execution_count": 15,
@@ -711,7 +671,8 @@
    ],
    "source": [
     "const response8 = await withMessageHistory2.invoke({\n",
-    "  input: \"whats my favorite ice cream?\"\n",
+    "  input: \"whats my favorite ice cream?\",\n",
+    "  chat_history: [],\n",
     "}, config4);\n",
     "\n",
     "response8.content"
@@ -739,7 +700,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 16,
    "metadata": {},
    "outputs": [
     {
@@ -748,36 +709,38 @@
      "text": [
       "| \n",
       "| Hi\n",
-      "|  Tod\n",
-      "| d!\n",
+      "|  Todd\n",
+      "| !\n",
       "|  Here\n",
-      "| 's\n",
+      "| ’s\n",
       "|  a\n",
-      "|  silly\n",
       "|  joke\n",
       "|  for\n",
       "|  you\n",
       "| :\n",
-      "| \n",
+      "|  \n",
+      "\n",
       "\n",
-      "Why\n",
-      "|  di\n",
-      "| d the\n",
-      "|  tom\n",
-      "| ato\n",
-      "|  turn\n",
-      "|  re\n",
-      "| d?\n",
-      "|  Because\n",
-      "|  it\n",
-      "|  saw\n",
+      "| Why\n",
+      "|  did\n",
       "|  the\n",
-      "|  sal\n",
-      "| a\n",
-      "| d \n",
-      "| dressing\n",
+      "|  scare\n",
+      "| crow\n",
+      "|  win\n",
+      "|  an\n",
+      "|  award\n",
+      "| ?\n",
+      "|  \n",
+      "\n",
+      "\n",
+      "| Because\n",
+      "|  he\n",
+      "|  was\n",
+      "|  outstanding\n",
+      "|  in\n",
+      "|  his\n",
+      "|  field\n",
       "| !\n",
-      "| \n",
       "| \n"
      ]
     }
@@ -791,6 +754,7 @@
     "\n",
     "const stream = await withMessageHistory2.stream({\n",
     "  input: \"hi! I'm todd. tell me a joke\",\n",
+    "  chat_history: [],\n",
     "}, config5);\n",
     "\n",
     "for await (const chunk of stream) {\n",

From 5565c02efd25445ae2d2af586e71658c571fce1f Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Tue, 10 Sep 2024 17:39:41 -0700
Subject: [PATCH 160/344] docs: Update wording in tool choice guide (#6732)

---
 docs/core_docs/docs/how_to/tool_choice.ipynb | 31 ++++----------------
 1 file changed, 5 insertions(+), 26 deletions(-)

diff --git a/docs/core_docs/docs/how_to/tool_choice.ipynb b/docs/core_docs/docs/how_to/tool_choice.ipynb
index bb568f25cb06..a60491045a2c 100644
--- a/docs/core_docs/docs/how_to/tool_choice.ipynb
+++ b/docs/core_docs/docs/how_to/tool_choice.ipynb
@@ -103,8 +103,8 @@
     "const llmForcedToMultiply = llm.bindTools(tools, {\n",
     "  tool_choice: \"Multiply\",\n",
     "})\n",
-    "const result = await llmForcedToMultiply.invoke(\"what is 2 + 4\");\n",
-    "console.log(JSON.stringify(result.tool_calls, null, 2));"
+    "const multiplyResult = await llmForcedToMultiply.invoke(\"what is 2 + 4\");\n",
+    "console.log(JSON.stringify(multiplyResult.tool_calls, null, 2));"
    ]
   },
   {
@@ -118,7 +118,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "We can also just force our tool to select at least one of our tools by passing in the \"any\" (or \"required\" which is OpenAI specific) keyword to the `tool_choice` parameter."
+    "We can also just force our tool to select at least one of our tools by passing `\"any\"` (or for OpenAI models, the equivalent, `\"required\"`) to the `tool_choice` parameter."
    ]
   },
   {
@@ -148,29 +148,8 @@
     "const llmForcedToUseTool = llm.bindTools(tools, {\n",
     "  tool_choice: \"any\",\n",
     "})\n",
-    "const result = await llmForcedToUseTool.invoke(\"What day is today?\");\n",
-    "console.log(JSON.stringify(result.tool_calls, null, 2));"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "```{=mdx}\n",
-    "\n",
-    ":::note\n",
-    "\n",
-    "Currently, the following packages have a minimum version for this style of forced tool calls:\n",
-    "\n",
-    "| Package Name        | Min Package Version | Min Core Version |\n",
-    "|---------------------|---------------------|------------------|\n",
-    "| `@langchain/aws`    | `0.0.3`             | `0.2.17`         |\n",
-    "| `@langchain/openai` | `0.2.4`             | `0.2.17`         |\n",
-    "| `@langchain/groq`   | `0.0.14`            | `0.2.17`         |\n",
-    "\n",
-    ":::\n",
-    "\n",
-    "```"
+    "const anyToolResult = await llmForcedToUseTool.invoke(\"What day is today?\");\n",
+    "console.log(JSON.stringify(anyToolResult.tool_calls, null, 2));"
    ]
   }
  ],

From da14961298f8a9ab6dfb0f79766b40b47b0b1ac3 Mon Sep 17 00:00:00 2001
From: Allen Firstenberg <github@addventure.com>
Date: Wed, 11 Sep 2024 01:22:33 -0400
Subject: [PATCH 161/344] google-common[major]: Media manager (#5835)

---
 libs/langchain-google-common/.gitignore       |    8 +
 .../langchain.config.js                       |    2 +
 libs/langchain-google-common/package.json     |   28 +-
 libs/langchain-google-common/src/auth.ts      |   36 +-
 .../src/chat_models.ts                        |   87 +-
 .../langchain-google-common/src/connection.ts |   66 +-
 .../langchain-google-common/src/embeddings.ts |    7 +-
 .../src/experimental/media.ts                 |  803 +++++++++++
 .../src/experimental/utils/media_core.ts      |  669 +++++++++
 libs/langchain-google-common/src/llms.ts      |   26 +-
 .../src/tests/chat_models.test.ts             |  207 ++-
 .../src/tests/utils.test.ts                   |  482 ++++++-
 libs/langchain-google-common/src/types.ts     |   13 +-
 .../src/utils/gemini.ts                       | 1202 +++++++++--------
 libs/langchain-google-gauth/src/index.ts      |    2 +
 libs/langchain-google-gauth/src/media.ts      |   31 +
 .../src/tests/chat_models.int.test.ts         |  315 +++++
 .../src/tests/data/blue-square.png            |  Bin 0 -> 176 bytes
 .../src/tests/media.int.test.ts               |  137 ++
 .../src/tests/chat_models.int.test.ts         |   83 ++
 libs/langchain-google-webauth/package.json    |    3 +-
 libs/langchain-google-webauth/src/media.ts    |   33 +
 .../src/tests/chat_models.int.test.ts         |  247 ++++
 .../src/tests/data/blue-square.png            |  Bin 0 -> 176 bytes
 .../src/tests/data/rainbow.mp4                |  Bin 0 -> 1020253 bytes
 .../src/tests/media.int.test.ts               |  201 +++
 yarn.lock                                     |    1 +
 27 files changed, 3949 insertions(+), 740 deletions(-)
 create mode 100644 libs/langchain-google-common/src/experimental/media.ts
 create mode 100644 libs/langchain-google-common/src/experimental/utils/media_core.ts
 create mode 100644 libs/langchain-google-gauth/src/media.ts
 create mode 100644 libs/langchain-google-gauth/src/tests/chat_models.int.test.ts
 create mode 100644 libs/langchain-google-gauth/src/tests/data/blue-square.png
 create mode 100644 libs/langchain-google-gauth/src/tests/media.int.test.ts
 create mode 100644 libs/langchain-google-webauth/src/media.ts
 create mode 100644 libs/langchain-google-webauth/src/tests/chat_models.int.test.ts
 create mode 100644 libs/langchain-google-webauth/src/tests/data/blue-square.png
 create mode 100644 libs/langchain-google-webauth/src/tests/data/rainbow.mp4
 create mode 100644 libs/langchain-google-webauth/src/tests/media.int.test.ts

diff --git a/libs/langchain-google-common/.gitignore b/libs/langchain-google-common/.gitignore
index df014a2d426b..c4537f159680 100644
--- a/libs/langchain-google-common/.gitignore
+++ b/libs/langchain-google-common/.gitignore
@@ -10,6 +10,14 @@ types.cjs
 types.js
 types.d.ts
 types.d.cts
+experimental/media.cjs
+experimental/media.js
+experimental/media.d.ts
+experimental/media.d.cts
+experimental/utils/media_core.cjs
+experimental/utils/media_core.js
+experimental/utils/media_core.d.ts
+experimental/utils/media_core.d.cts
 node_modules
 dist
 .yarn
diff --git a/libs/langchain-google-common/langchain.config.js b/libs/langchain-google-common/langchain.config.js
index df02f88bd793..458e4abdc1a4 100644
--- a/libs/langchain-google-common/langchain.config.js
+++ b/libs/langchain-google-common/langchain.config.js
@@ -16,6 +16,8 @@ export const config = {
     index: "index",
     utils: "utils/index",
     types: "types",
+    "experimental/media": "experimental/media",
+    "experimental/utils/media_core": "experimental/utils/media_core",
   },
   tsConfigPath: resolve("./tsconfig.json"),
   cjsSource: "./dist-cjs",
diff --git a/libs/langchain-google-common/package.json b/libs/langchain-google-common/package.json
index 242093637b64..2bafc1cbcc5e 100644
--- a/libs/langchain-google-common/package.json
+++ b/libs/langchain-google-common/package.json
@@ -92,6 +92,24 @@
       "import": "./types.js",
       "require": "./types.cjs"
     },
+    "./experimental/media": {
+      "types": {
+        "import": "./experimental/media.d.ts",
+        "require": "./experimental/media.d.cts",
+        "default": "./experimental/media.d.ts"
+      },
+      "import": "./experimental/media.js",
+      "require": "./experimental/media.cjs"
+    },
+    "./experimental/utils/media_core": {
+      "types": {
+        "import": "./experimental/utils/media_core.d.ts",
+        "require": "./experimental/utils/media_core.d.cts",
+        "default": "./experimental/utils/media_core.d.ts"
+      },
+      "import": "./experimental/utils/media_core.js",
+      "require": "./experimental/utils/media_core.cjs"
+    },
     "./package.json": "./package.json"
   },
   "files": [
@@ -107,6 +125,14 @@
     "types.cjs",
     "types.js",
     "types.d.ts",
-    "types.d.cts"
+    "types.d.cts",
+    "experimental/media.cjs",
+    "experimental/media.js",
+    "experimental/media.d.ts",
+    "experimental/media.d.cts",
+    "experimental/utils/media_core.cjs",
+    "experimental/utils/media_core.js",
+    "experimental/utils/media_core.d.ts",
+    "experimental/utils/media_core.d.cts"
   ]
 }
diff --git a/libs/langchain-google-common/src/auth.ts b/libs/langchain-google-common/src/auth.ts
index 9e278a9605d2..60e0fab4f998 100644
--- a/libs/langchain-google-common/src/auth.ts
+++ b/libs/langchain-google-common/src/auth.ts
@@ -1,9 +1,9 @@
 import { ReadableJsonStream } from "./utils/stream.js";
 import { GooglePlatformType } from "./types.js";
 
-export type GoogleAbstractedClientOpsMethod = "GET" | "POST";
+export type GoogleAbstractedClientOpsMethod = "GET" | "POST" | "DELETE";
 
-export type GoogleAbstractedClientOpsResponseType = "json" | "stream";
+export type GoogleAbstractedClientOpsResponseType = "json" | "stream" | "blob";
 
 export type GoogleAbstractedClientOps = {
   url?: string;
@@ -28,6 +28,17 @@ export abstract class GoogleAbstractedFetchClient
 
   abstract request(opts: GoogleAbstractedClientOps): unknown;
 
+  async _buildData(res: Response, opts: GoogleAbstractedClientOps) {
+    switch (opts.responseType) {
+      case "json":
+        return res.json();
+      case "stream":
+        return new ReadableJsonStream(res.body);
+      default:
+        return res.blob();
+    }
+  }
+
   async _request(
     url: string | undefined,
     opts: GoogleAbstractedClientOps,
@@ -47,7 +58,11 @@ export abstract class GoogleAbstractedFetchClient
       },
     };
     if (opts.data !== undefined) {
-      fetchOptions.body = JSON.stringify(opts.data);
+      if (typeof opts.data === "string") {
+        fetchOptions.body = opts.data;
+      } else {
+        fetchOptions.body = JSON.stringify(opts.data);
+      }
     }
 
     const res = await fetch(url, fetchOptions);
@@ -57,16 +72,21 @@ export abstract class GoogleAbstractedFetchClient
       const error = new Error(
         `Google request failed with status code ${res.status}: ${resText}`
       );
-      // eslint-disable-next-line @typescript-eslint/no-explicit-any
+      /* eslint-disable @typescript-eslint/no-explicit-any */
       (error as any).response = res;
+      (error as any).details = {
+        url,
+        opts,
+        fetchOptions,
+        result: res,
+      };
+      /* eslint-enable @typescript-eslint/no-explicit-any */
       throw error;
     }
 
+    const data = await this._buildData(res, opts);
     return {
-      data:
-        opts.responseType === "json"
-          ? await res.json()
-          : new ReadableJsonStream(res.body),
+      data,
       config: {},
       status: res.status,
       statusText: res.statusText,
diff --git a/libs/langchain-google-common/src/chat_models.ts b/libs/langchain-google-common/src/chat_models.ts
index 2fa539657ec0..4ee4e0f6ed05 100644
--- a/libs/langchain-google-common/src/chat_models.ts
+++ b/libs/langchain-google-common/src/chat_models.ts
@@ -39,12 +39,7 @@ import {
   copyAndValidateModelParamsInto,
 } from "./utils/common.js";
 import { AbstractGoogleLLMConnection } from "./connection.js";
-import {
-  baseMessageToContent,
-  safeResponseToChatGeneration,
-  safeResponseToChatResult,
-  DefaultGeminiSafetyHandler,
-} from "./utils/gemini.js";
+import { DefaultGeminiSafetyHandler } from "./utils/gemini.js";
 import { ApiKeyGoogleAuth, GoogleAbstractedClient } from "./auth.js";
 import { JsonStream } from "./utils/stream.js";
 import { ensureParams } from "./utils/failed_handler.js";
@@ -55,6 +50,7 @@ import type {
   GeminiFunctionDeclaration,
   GeminiFunctionSchema,
   GoogleAIToolType,
+  GeminiAPIConfig,
 } from "./types.js";
 import { zodToGeminiParameters } from "./utils/zod_to_gemini_parameters.js";
 
@@ -100,61 +96,69 @@ class ChatConnection<AuthOptions> extends AbstractGoogleLLMConnection<
     return true;
   }
 
-  formatContents(
+  async formatContents(
     input: BaseMessage[],
     _parameters: GoogleAIModelParams
-  ): GeminiContent[] {
-    return input
-      .map((msg, i) =>
-        baseMessageToContent(msg, input[i - 1], this.useSystemInstruction)
+  ): Promise<GeminiContent[]> {
+    const inputPromises: Promise<GeminiContent[]>[] = input.map((msg, i) =>
+      this.api.baseMessageToContent(
+        msg,
+        input[i - 1],
+        this.useSystemInstruction
       )
-      .reduce((acc, cur) => {
-        // Filter out the system content
-        if (cur.every((content) => content.role === "system")) {
-          return acc;
-        }
-
-        // Combine adjacent function messages
-        if (
-          cur[0]?.role === "function" &&
-          acc.length > 0 &&
-          acc[acc.length - 1].role === "function"
-        ) {
-          acc[acc.length - 1].parts = [
-            ...acc[acc.length - 1].parts,
-            ...cur[0].parts,
-          ];
-        } else {
-          acc.push(...cur);
-        }
+    );
+    const inputs = await Promise.all(inputPromises);
 
+    return inputs.reduce((acc, cur) => {
+      // Filter out the system content
+      if (cur.every((content) => content.role === "system")) {
         return acc;
-      }, [] as GeminiContent[]);
+      }
+
+      // Combine adjacent function messages
+      if (
+        cur[0]?.role === "function" &&
+        acc.length > 0 &&
+        acc[acc.length - 1].role === "function"
+      ) {
+        acc[acc.length - 1].parts = [
+          ...acc[acc.length - 1].parts,
+          ...cur[0].parts,
+        ];
+      } else {
+        acc.push(...cur);
+      }
+
+      return acc;
+    }, [] as GeminiContent[]);
   }
 
-  formatSystemInstruction(
+  async formatSystemInstruction(
     input: BaseMessage[],
     _parameters: GoogleAIModelParams
-  ): GeminiContent {
+  ): Promise<GeminiContent> {
     if (!this.useSystemInstruction) {
       return {} as GeminiContent;
     }
 
     let ret = {} as GeminiContent;
-    input.forEach((message, index) => {
+    for (let index = 0; index < input.length; index += 1) {
+      const message = input[index];
       if (message._getType() === "system") {
         // For system types, we only want it if it is the first message,
         // if it appears anywhere else, it should be an error.
         if (index === 0) {
           // eslint-disable-next-line prefer-destructuring
-          ret = baseMessageToContent(message, undefined, true)[0];
+          ret = (
+            await this.api.baseMessageToContent(message, undefined, true)
+          )[0];
         } else {
           throw new Error(
             "System messages are only permitted as the first passed message."
           );
         }
       }
-    });
+    }
 
     return ret;
   }
@@ -168,6 +172,7 @@ export interface ChatGoogleBaseInput<AuthOptions>
     GoogleConnectionParams<AuthOptions>,
     GoogleAIModelParams,
     GoogleAISafetyParams,
+    GeminiAPIConfig,
     Pick<GoogleAIBaseLanguageModelCallOptions, "streamUsage"> {}
 
 /**
@@ -338,7 +343,10 @@ export abstract class ChatGoogleBase<AuthOptions>
       parameters,
       options
     );
-    const ret = safeResponseToChatResult(response, this.safetyHandler);
+    const ret = this.connection.api.safeResponseToChatResult(
+      response,
+      this.safetyHandler
+    );
     await runManager?.handleLLMNewToken(ret.generations[0].text);
     return ret;
   }
@@ -378,7 +386,10 @@ export abstract class ChatGoogleBase<AuthOptions>
       }
       const chunk =
         output !== null
-          ? safeResponseToChatGeneration({ data: output }, this.safetyHandler)
+          ? this.connection.api.safeResponseToChatGeneration(
+              { data: output },
+              this.safetyHandler
+            )
           : new ChatGenerationChunk({
               text: "",
               generationInfo: { finishReason: "stop" },
diff --git a/libs/langchain-google-common/src/connection.ts b/libs/langchain-google-common/src/connection.ts
index 4a90e9f795af..7e7da9daa304 100644
--- a/libs/langchain-google-common/src/connection.ts
+++ b/libs/langchain-google-common/src/connection.ts
@@ -20,6 +20,7 @@ import type {
   GeminiTool,
   GeminiFunctionDeclaration,
   GoogleAIModelRequestParams,
+  GoogleRawResponse,
   GoogleAIToolType,
 } from "./types.js";
 import {
@@ -28,6 +29,7 @@ import {
   GoogleAbstractedClientOpsMethod,
 } from "./auth.js";
 import { zodToGeminiParameters } from "./utils/zod_to_gemini_parameters.js";
+import { getGeminiAPI } from "./utils/index.js";
 
 export abstract class GoogleConnection<
   CallOptions extends AsyncCallerCallOptions,
@@ -84,15 +86,23 @@ export abstract class GoogleConnection<
     return this.constructor.name;
   }
 
-  async _request(
+  async additionalHeaders(): Promise<Record<string, string>> {
+    return {};
+  }
+
+  async _buildOpts(
     data: unknown | undefined,
-    options: CallOptions
-  ): Promise<ResponseType> {
+    _options: CallOptions,
+    requestHeaders: Record<string, string> = {}
+  ): Promise<GoogleAbstractedClientOps> {
     const url = await this.buildUrl();
     const method = this.buildMethod();
     const infoHeaders = (await this._clientInfoHeaders()) ?? {};
+    const additionalHeaders = (await this.additionalHeaders()) ?? {};
     const headers = {
       ...infoHeaders,
+      ...additionalHeaders,
+      ...requestHeaders,
     };
 
     const opts: GoogleAbstractedClientOps = {
@@ -108,7 +118,15 @@ export abstract class GoogleConnection<
     } else {
       opts.responseType = "json";
     }
+    return opts;
+  }
 
+  async _request(
+    data: unknown | undefined,
+    options: CallOptions,
+    requestHeaders: Record<string, string> = {}
+  ): Promise<ResponseType> {
+    const opts = await this._buildOpts(data, options, requestHeaders);
     const callResponse = await this.caller.callWithOptions(
       { signal: options?.signal },
       async () => this.client.request(opts)
@@ -165,6 +183,21 @@ export abstract class GoogleHostConnection<
   }
 }
 
+export abstract class GoogleRawConnection<
+  CallOptions extends AsyncCallerCallOptions,
+  AuthOptions
+> extends GoogleHostConnection<CallOptions, GoogleRawResponse, AuthOptions> {
+  async _buildOpts(
+    data: unknown | undefined,
+    _options: CallOptions,
+    requestHeaders: Record<string, string> = {}
+  ): Promise<GoogleAbstractedClientOps> {
+    const opts = await super._buildOpts(data, _options, requestHeaders);
+    opts.responseType = "blob";
+    return opts;
+  }
+}
+
 export abstract class GoogleAIConnection<
     CallOptions extends AsyncCallerCallOptions,
     InputType,
@@ -180,6 +213,9 @@ export abstract class GoogleAIConnection<
 
   client: GoogleAbstractedClient;
 
+  // eslint-disable-next-line @typescript-eslint/no-explicit-any
+  api: any; // FIXME: Make this a real type
+
   constructor(
     fields: GoogleAIBaseLLMInput<AuthOptions> | undefined,
     caller: AsyncCaller,
@@ -190,6 +226,7 @@ export abstract class GoogleAIConnection<
     this.client = client;
     this.modelName = fields?.model ?? fields?.modelName ?? this.model;
     this.model = this.modelName;
+    this.api = getGeminiAPI(fields);
   }
 
   get modelFamily(): GoogleLLMModelFamily {
@@ -235,14 +272,14 @@ export abstract class GoogleAIConnection<
   abstract formatData(
     input: InputType,
     parameters: GoogleAIModelRequestParams
-  ): unknown;
+  ): Promise<unknown>;
 
   async request(
     input: InputType,
     parameters: GoogleAIModelRequestParams,
     options: CallOptions
-  ): Promise<ResponseType> {
-    const data = this.formatData(input, parameters);
+  ): Promise<GoogleResponse> {
+    const data = await this.formatData(input, parameters);
     const response = await this._request(data, options);
     return response;
   }
@@ -273,7 +310,7 @@ export abstract class AbstractGoogleLLMConnection<
   abstract formatContents(
     input: MessageType,
     parameters: GoogleAIModelRequestParams
-  ): GeminiContent[];
+  ): Promise<GeminiContent[]>;
 
   formatGenerationConfig(
     _input: MessageType,
@@ -296,10 +333,10 @@ export abstract class AbstractGoogleLLMConnection<
     return parameters.safetySettings ?? [];
   }
 
-  formatSystemInstruction(
+  async formatSystemInstruction(
     _input: MessageType,
     _parameters: GoogleAIModelRequestParams
-  ): GeminiContent {
+  ): Promise<GeminiContent> {
     return {} as GeminiContent;
   }
 
@@ -362,16 +399,19 @@ export abstract class AbstractGoogleLLMConnection<
     };
   }
 
-  formatData(
+  async formatData(
     input: MessageType,
     parameters: GoogleAIModelRequestParams
-  ): GeminiRequest {
-    const contents = this.formatContents(input, parameters);
+  ): Promise<GeminiRequest> {
+    const contents = await this.formatContents(input, parameters);
     const generationConfig = this.formatGenerationConfig(input, parameters);
     const tools = this.formatTools(input, parameters);
     const toolConfig = this.formatToolConfig(parameters);
     const safetySettings = this.formatSafetySettings(input, parameters);
-    const systemInstruction = this.formatSystemInstruction(input, parameters);
+    const systemInstruction = await this.formatSystemInstruction(
+      input,
+      parameters
+    );
 
     const ret: GeminiRequest = {
       contents,
diff --git a/libs/langchain-google-common/src/embeddings.ts b/libs/langchain-google-common/src/embeddings.ts
index 4bf568959efe..d1e2549c631a 100644
--- a/libs/langchain-google-common/src/embeddings.ts
+++ b/libs/langchain-google-common/src/embeddings.ts
@@ -38,10 +38,10 @@ class EmbeddingsConnection<
     return "predict";
   }
 
-  formatData(
+  async formatData(
     input: GoogleEmbeddingsInstance[],
     parameters: GoogleAIModelRequestParams
-  ): unknown {
+  ): Promise<unknown> {
     return {
       instances: input,
       parameters,
@@ -172,7 +172,8 @@ export abstract class BaseGoogleEmbeddings<AuthOptions>
         ?.map(
           (response) =>
             response?.data?.predictions?.map(
-              (result) => result.embeddings.values
+              // eslint-disable-next-line @typescript-eslint/no-explicit-any
+              (result: any) => result.embeddings?.values
             ) ?? []
         )
         .flat() ?? [];
diff --git a/libs/langchain-google-common/src/experimental/media.ts b/libs/langchain-google-common/src/experimental/media.ts
new file mode 100644
index 000000000000..89646482ca70
--- /dev/null
+++ b/libs/langchain-google-common/src/experimental/media.ts
@@ -0,0 +1,803 @@
+import {
+  AsyncCaller,
+  AsyncCallerCallOptions,
+  AsyncCallerParams,
+} from "@langchain/core/utils/async_caller";
+import { getEnvironmentVariable } from "@langchain/core/utils/env";
+import {
+  MediaBlob,
+  BlobStore,
+  BlobStoreOptions,
+  MediaBlobData,
+} from "./utils/media_core.js";
+import {
+  GoogleConnectionParams,
+  GoogleRawResponse,
+  GoogleResponse,
+} from "../types.js";
+import { GoogleHostConnection, GoogleRawConnection } from "../connection.js";
+import {
+  ApiKeyGoogleAuth,
+  GoogleAbstractedClient,
+  GoogleAbstractedClientOpsMethod,
+} from "../auth.js";
+
+export interface GoogleUploadConnectionParams<AuthOptions>
+  extends GoogleConnectionParams<AuthOptions> {}
+
+export abstract class GoogleMultipartUploadConnection<
+  CallOptions extends AsyncCallerCallOptions,
+  ResponseType extends GoogleResponse,
+  AuthOptions
+> extends GoogleHostConnection<CallOptions, ResponseType, AuthOptions> {
+  constructor(
+    fields: GoogleConnectionParams<AuthOptions> | undefined,
+    caller: AsyncCaller,
+    client: GoogleAbstractedClient
+  ) {
+    super(fields, caller, client);
+  }
+
+  async _body(
+    separator: string,
+    data: MediaBlob,
+    metadata: Record<string, unknown>
+  ): Promise<string> {
+    const contentType = data.mimetype;
+    const { encoded, encoding } = await data.encode();
+    const body = [
+      `--${separator}`,
+      "Content-Type: application/json; charset=UTF-8",
+      "",
+      JSON.stringify(metadata),
+      "",
+      `--${separator}`,
+      `Content-Type: ${contentType}`,
+      `Content-Transfer-Encoding: ${encoding}`,
+      "",
+      encoded,
+      `--${separator}--`,
+    ];
+    return body.join("\n");
+  }
+
+  async request(
+    data: MediaBlob,
+    metadata: Record<string, unknown>,
+    options: CallOptions
+  ): Promise<ResponseType> {
+    const separator = `separator-${Date.now()}`;
+    const body = await this._body(separator, data, metadata);
+    const requestHeaders = {
+      "Content-Type": `multipart/related; boundary=${separator}`,
+      "X-Goog-Upload-Protocol": "multipart",
+    };
+    const response = this._request(body, options, requestHeaders);
+    return response;
+  }
+}
+
+export abstract class GoogleDownloadConnection<
+  CallOptions extends AsyncCallerCallOptions,
+  ResponseType extends GoogleResponse,
+  AuthOptions
+> extends GoogleHostConnection<CallOptions, ResponseType, AuthOptions> {
+  async request(options: CallOptions): Promise<ResponseType> {
+    return this._request(undefined, options);
+  }
+}
+
+export abstract class GoogleDownloadRawConnection<
+  CallOptions extends AsyncCallerCallOptions,
+  AuthOptions
+> extends GoogleRawConnection<CallOptions, AuthOptions> {
+  buildMethod(): GoogleAbstractedClientOpsMethod {
+    return "GET";
+  }
+
+  async request(options: CallOptions): Promise<GoogleRawResponse> {
+    return this._request(undefined, options);
+  }
+}
+
+export interface BlobStoreGoogleParams<AuthOptions>
+  extends GoogleConnectionParams<AuthOptions>,
+    AsyncCallerParams,
+    BlobStoreOptions {}
+
+export abstract class BlobStoreGoogle<
+  ResponseType extends GoogleResponse,
+  AuthOptions
+> extends BlobStore {
+  caller: AsyncCaller;
+
+  client: GoogleAbstractedClient;
+
+  constructor(fields?: BlobStoreGoogleParams<AuthOptions>) {
+    super(fields);
+    this.caller = new AsyncCaller(fields ?? {});
+    this.client = this.buildClient(fields);
+  }
+
+  abstract buildClient(
+    fields?: BlobStoreGoogleParams<AuthOptions>
+  ): GoogleAbstractedClient;
+
+  abstract buildSetMetadata([key, blob]: [string, MediaBlob]): Record<
+    string,
+    unknown
+  >;
+
+  abstract buildSetConnection([key, blob]: [
+    string,
+    MediaBlob
+  ]): GoogleMultipartUploadConnection<
+    AsyncCallerCallOptions,
+    ResponseType,
+    AuthOptions
+  >;
+
+  async _set(keyValuePair: [string, MediaBlob]): Promise<ResponseType> {
+    const [, blob] = keyValuePair;
+    const setMetadata = this.buildSetMetadata(keyValuePair);
+    const metadata = setMetadata;
+    const options = {};
+    const connection = this.buildSetConnection(keyValuePair);
+    const response = await connection.request(blob, metadata, options);
+    return response;
+  }
+
+  async mset(keyValuePairs: [string, MediaBlob][]): Promise<void> {
+    const ret = keyValuePairs.map((keyValue) => this._set(keyValue));
+    await Promise.all(ret);
+  }
+
+  abstract buildGetMetadataConnection(
+    key: string
+  ): GoogleDownloadConnection<
+    AsyncCallerCallOptions,
+    ResponseType,
+    AuthOptions
+  >;
+
+  async _getMetadata(key: string): Promise<Record<string, unknown>> {
+    const connection = this.buildGetMetadataConnection(key);
+    const options = {};
+    const response = await connection.request(options);
+    return response.data;
+  }
+
+  abstract buildGetDataConnection(
+    key: string
+  ): GoogleDownloadRawConnection<AsyncCallerCallOptions, AuthOptions>;
+
+  async _getData(key: string): Promise<Blob> {
+    const connection = this.buildGetDataConnection(key);
+    const options = {};
+    const response = await connection.request(options);
+    return response.data;
+  }
+
+  _getMimetypeFromMetadata(metadata: Record<string, unknown>): string {
+    return metadata.contentType as string;
+  }
+
+  async _get(key: string): Promise<MediaBlob | undefined> {
+    const metadata = await this._getMetadata(key);
+    const data = await this._getData(key);
+    if (data && metadata) {
+      const ret = await MediaBlob.fromBlob(data, { metadata, path: key });
+      return ret;
+    } else {
+      return undefined;
+    }
+  }
+
+  async mget(keys: string[]): Promise<(MediaBlob | undefined)[]> {
+    const ret = keys.map((key) => this._get(key));
+    return await Promise.all(ret);
+  }
+
+  abstract buildDeleteConnection(
+    key: string
+  ): GoogleDownloadConnection<
+    AsyncCallerCallOptions,
+    GoogleResponse,
+    AuthOptions
+  >;
+
+  async _del(key: string): Promise<void> {
+    const connection = this.buildDeleteConnection(key);
+    const options = {};
+    await connection.request(options);
+  }
+
+  async mdelete(keys: string[]): Promise<void> {
+    const ret = keys.map((key) => this._del(key));
+    await Promise.all(ret);
+  }
+
+  // eslint-disable-next-line require-yield
+  async *yieldKeys(_prefix: string | undefined): AsyncGenerator<string> {
+    // TODO: Implement. Most have an implementation that uses nextToken.
+    throw new Error("yieldKeys is not implemented");
+  }
+}
+
+/**
+ * Based on https://cloud.google.com/storage/docs/json_api/v1/objects#resource
+ */
+export interface GoogleCloudStorageObject extends Record<string, unknown> {
+  id?: string;
+  name?: string;
+  contentType?: string;
+  metadata?: Record<string, unknown>;
+  // This is incomplete.
+}
+
+export interface GoogleCloudStorageResponse extends GoogleResponse {
+  data: GoogleCloudStorageObject;
+}
+
+export type BucketAndPath = {
+  bucket: string;
+  path: string;
+};
+
+export class GoogleCloudStorageUri {
+  static uriRegexp = /gs:\/\/([a-z0-9][a-z0-9._-]+[a-z0-9])\/(.*)/;
+
+  bucket: string;
+
+  path: string;
+
+  constructor(uri: string) {
+    const bucketAndPath = GoogleCloudStorageUri.uriToBucketAndPath(uri);
+    this.bucket = bucketAndPath.bucket;
+    this.path = bucketAndPath.path;
+  }
+
+  get uri() {
+    return `gs://${this.bucket}/${this.path}`;
+  }
+
+  get isValid() {
+    return (
+      typeof this.bucket !== "undefined" && typeof this.path !== "undefined"
+    );
+  }
+
+  static uriToBucketAndPath(uri: string): BucketAndPath {
+    const match = this.uriRegexp.exec(uri);
+    if (!match) {
+      throw new Error(`Invalid gs:// URI: ${uri}`);
+    }
+    return {
+      bucket: match[1],
+      path: match[2],
+    };
+  }
+
+  static isValidUri(uri: string): boolean {
+    return this.uriRegexp.test(uri);
+  }
+}
+
+export interface GoogleCloudStorageConnectionParams {
+  uri: string;
+}
+
+export interface GoogleCloudStorageUploadConnectionParams<AuthOptions>
+  extends GoogleUploadConnectionParams<AuthOptions>,
+    GoogleCloudStorageConnectionParams {}
+
+export class GoogleCloudStorageUploadConnection<
+  AuthOptions
+> extends GoogleMultipartUploadConnection<
+  AsyncCallerCallOptions,
+  GoogleCloudStorageResponse,
+  AuthOptions
+> {
+  uri: GoogleCloudStorageUri;
+
+  constructor(
+    fields: GoogleCloudStorageUploadConnectionParams<AuthOptions>,
+    caller: AsyncCaller,
+    client: GoogleAbstractedClient
+  ) {
+    super(fields, caller, client);
+    this.uri = new GoogleCloudStorageUri(fields.uri);
+  }
+
+  async buildUrl(): Promise<string> {
+    return `https://storage.googleapis.com/upload/storage/${this.apiVersion}/b/${this.uri.bucket}/o?uploadType=multipart`;
+  }
+}
+
+export interface GoogleCloudStorageDownloadConnectionParams<AuthOptions>
+  extends GoogleCloudStorageConnectionParams,
+    GoogleConnectionParams<AuthOptions> {
+  method: GoogleAbstractedClientOpsMethod;
+  alt: "media" | undefined;
+}
+
+export class GoogleCloudStorageDownloadConnection<
+  ResponseType extends GoogleResponse,
+  AuthOptions
+> extends GoogleDownloadConnection<
+  AsyncCallerCallOptions,
+  ResponseType,
+  AuthOptions
+> {
+  uri: GoogleCloudStorageUri;
+
+  method: GoogleAbstractedClientOpsMethod;
+
+  alt: "media" | undefined;
+
+  constructor(
+    fields: GoogleCloudStorageDownloadConnectionParams<AuthOptions>,
+    caller: AsyncCaller,
+    client: GoogleAbstractedClient
+  ) {
+    super(fields, caller, client);
+    this.uri = new GoogleCloudStorageUri(fields.uri);
+    this.method = fields.method;
+    this.alt = fields.alt;
+  }
+
+  buildMethod(): GoogleAbstractedClientOpsMethod {
+    return this.method;
+  }
+
+  async buildUrl(): Promise<string> {
+    const path = encodeURIComponent(this.uri.path);
+    const ret = `https://storage.googleapis.com/storage/${this.apiVersion}/b/${this.uri.bucket}/o/${path}`;
+    return this.alt ? `${ret}?alt=${this.alt}` : ret;
+  }
+}
+
+export interface GoogleCloudStorageRawConnectionParams<AuthOptions>
+  extends GoogleCloudStorageConnectionParams,
+    GoogleConnectionParams<AuthOptions> {}
+
+export class GoogleCloudStorageRawConnection<
+  AuthOptions
+> extends GoogleDownloadRawConnection<AsyncCallerCallOptions, AuthOptions> {
+  uri: GoogleCloudStorageUri;
+
+  constructor(
+    fields: GoogleCloudStorageRawConnectionParams<AuthOptions>,
+    caller: AsyncCaller,
+    client: GoogleAbstractedClient
+  ) {
+    super(fields, caller, client);
+    this.uri = new GoogleCloudStorageUri(fields.uri);
+  }
+
+  async buildUrl(): Promise<string> {
+    const path = encodeURIComponent(this.uri.path);
+    const ret = `https://storage.googleapis.com/storage/${this.apiVersion}/b/${this.uri.bucket}/o/${path}?alt=media`;
+    return ret;
+  }
+}
+
+export interface BlobStoreGoogleCloudStorageBaseParams<AuthOptions>
+  extends BlobStoreGoogleParams<AuthOptions> {
+  uriPrefix: GoogleCloudStorageUri;
+}
+
+export abstract class BlobStoreGoogleCloudStorageBase<
+  AuthOptions
+> extends BlobStoreGoogle<GoogleCloudStorageResponse, AuthOptions> {
+  params: BlobStoreGoogleCloudStorageBaseParams<AuthOptions>;
+
+  constructor(fields: BlobStoreGoogleCloudStorageBaseParams<AuthOptions>) {
+    super(fields);
+    this.params = fields;
+    this.defaultStoreOptions = {
+      ...this.defaultStoreOptions,
+      pathPrefix: fields.uriPrefix.uri,
+    };
+  }
+
+  buildSetConnection([key, _blob]: [
+    string,
+    MediaBlob
+  ]): GoogleMultipartUploadConnection<
+    AsyncCallerCallOptions,
+    GoogleCloudStorageResponse,
+    AuthOptions
+  > {
+    const params: GoogleCloudStorageUploadConnectionParams<AuthOptions> = {
+      ...this.params,
+      uri: key,
+    };
+    return new GoogleCloudStorageUploadConnection<AuthOptions>(
+      params,
+      this.caller,
+      this.client
+    );
+  }
+
+  buildSetMetadata([key, blob]: [string, MediaBlob]): Record<string, unknown> {
+    const uri = new GoogleCloudStorageUri(key);
+    const ret: GoogleCloudStorageObject = {
+      name: uri.path,
+      metadata: blob.metadata,
+      contentType: blob.mimetype,
+    };
+    return ret;
+  }
+
+  buildGetMetadataConnection(
+    key: string
+  ): GoogleDownloadConnection<
+    AsyncCallerCallOptions,
+    GoogleCloudStorageResponse,
+    AuthOptions
+  > {
+    const params: GoogleCloudStorageDownloadConnectionParams<AuthOptions> = {
+      uri: key,
+      method: "GET",
+      alt: undefined,
+    };
+    return new GoogleCloudStorageDownloadConnection<
+      GoogleCloudStorageResponse,
+      AuthOptions
+    >(params, this.caller, this.client);
+  }
+
+  buildGetDataConnection(
+    key: string
+  ): GoogleDownloadRawConnection<AsyncCallerCallOptions, AuthOptions> {
+    const params: GoogleCloudStorageRawConnectionParams<AuthOptions> = {
+      uri: key,
+    };
+    return new GoogleCloudStorageRawConnection<AuthOptions>(
+      params,
+      this.caller,
+      this.client
+    );
+  }
+
+  buildDeleteConnection(
+    key: string
+  ): GoogleDownloadConnection<
+    AsyncCallerCallOptions,
+    GoogleResponse,
+    AuthOptions
+  > {
+    const params: GoogleCloudStorageDownloadConnectionParams<AuthOptions> = {
+      uri: key,
+      method: "DELETE",
+      alt: undefined,
+    };
+    return new GoogleCloudStorageDownloadConnection<
+      GoogleResponse,
+      AuthOptions
+    >(params, this.caller, this.client);
+  }
+}
+
+export type AIStudioFileState =
+  | "PROCESSING"
+  | "ACTIVE"
+  | "FAILED"
+  | "STATE_UNSPECIFIED";
+
+export type AIStudioFileVideoMetadata = {
+  videoMetadata: {
+    videoDuration: string; // Duration in seconds, possibly with fractional, ending in "s"
+  };
+};
+
+export type AIStudioFileMetadata = AIStudioFileVideoMetadata;
+
+export interface AIStudioFileObject {
+  name?: string;
+  displayName?: string;
+  mimeType?: string;
+  sizeBytes?: string; // int64 format
+  createTime?: string; // timestamp format
+  updateTime?: string; // timestamp format
+  expirationTime?: string; // timestamp format
+  sha256Hash?: string; // base64 encoded
+  uri?: string;
+  state?: AIStudioFileState;
+  error?: {
+    code: number;
+    message: string;
+    details: Record<string, unknown>[];
+  };
+  metadata?: AIStudioFileMetadata;
+}
+
+export class AIStudioMediaBlob extends MediaBlob {
+  _valueAsDate(value: string): Date {
+    if (!value) {
+      return new Date(0);
+    }
+    return new Date(value);
+  }
+
+  _metadataFieldAsDate(field: string): Date {
+    return this._valueAsDate(this.metadata?.[field]);
+  }
+
+  get createDate(): Date {
+    return this._metadataFieldAsDate("createTime");
+  }
+
+  get updateDate(): Date {
+    return this._metadataFieldAsDate("updateTime");
+  }
+
+  get expirationDate(): Date {
+    return this._metadataFieldAsDate("expirationTime");
+  }
+
+  get isExpired(): boolean {
+    const now = new Date().toISOString();
+    const exp = this.metadata?.expirationTime ?? now;
+    return exp <= now;
+  }
+}
+
+export interface AIStudioFileGetResponse extends GoogleResponse {
+  data: AIStudioFileObject;
+}
+
+export interface AIStudioFileSaveResponse extends GoogleResponse {
+  data: {
+    file: AIStudioFileObject;
+  };
+}
+
+export interface AIStudioFileListResponse extends GoogleResponse {
+  data: {
+    files: AIStudioFileObject[];
+    nextPageToken: string;
+  };
+}
+
+export type AIStudioFileResponse =
+  | AIStudioFileGetResponse
+  | AIStudioFileSaveResponse
+  | AIStudioFileListResponse;
+
+export interface AIStudioFileConnectionParams {}
+
+export interface AIStudioFileUploadConnectionParams<AuthOptions>
+  extends GoogleUploadConnectionParams<AuthOptions>,
+    AIStudioFileConnectionParams {}
+
+export class AIStudioFileUploadConnection<
+  AuthOptions
+> extends GoogleMultipartUploadConnection<
+  AsyncCallerCallOptions,
+  AIStudioFileSaveResponse,
+  AuthOptions
+> {
+  apiVersion = "v1beta";
+
+  async buildUrl(): Promise<string> {
+    return `https://generativelanguage.googleapis.com/upload/${this.apiVersion}/files`;
+  }
+}
+
+export interface AIStudioFileDownloadConnectionParams<AuthOptions>
+  extends AIStudioFileConnectionParams,
+    GoogleConnectionParams<AuthOptions> {
+  method: GoogleAbstractedClientOpsMethod;
+  name: string;
+}
+
+export class AIStudioFileDownloadConnection<
+  ResponseType extends GoogleResponse,
+  AuthOptions
+> extends GoogleDownloadConnection<
+  AsyncCallerCallOptions,
+  ResponseType,
+  AuthOptions
+> {
+  method: GoogleAbstractedClientOpsMethod;
+
+  name: string;
+
+  apiVersion = "v1beta";
+
+  constructor(
+    fields: AIStudioFileDownloadConnectionParams<AuthOptions>,
+    caller: AsyncCaller,
+    client: GoogleAbstractedClient
+  ) {
+    super(fields, caller, client);
+    this.method = fields.method;
+    this.name = fields.name;
+  }
+
+  buildMethod(): GoogleAbstractedClientOpsMethod {
+    return this.method;
+  }
+
+  async buildUrl(): Promise<string> {
+    return `https://generativelanguage.googleapis.com/${this.apiVersion}/files/${this.name}`;
+  }
+}
+
+export interface BlobStoreAIStudioFileBaseParams<AuthOptions>
+  extends BlobStoreGoogleParams<AuthOptions> {
+  retryTime?: number;
+}
+
+export abstract class BlobStoreAIStudioFileBase<
+  AuthOptions
+> extends BlobStoreGoogle<AIStudioFileResponse, AuthOptions> {
+  params?: BlobStoreAIStudioFileBaseParams<AuthOptions>;
+
+  retryTime: number = 1000;
+
+  constructor(fields?: BlobStoreAIStudioFileBaseParams<AuthOptions>) {
+    const params: BlobStoreAIStudioFileBaseParams<AuthOptions> = {
+      defaultStoreOptions: {
+        pathPrefix: "https://generativelanguage.googleapis.com/v1beta/files/",
+        actionIfInvalid: "removePath",
+      },
+      ...fields,
+    };
+    super(params);
+    this.params = params;
+    this.retryTime = params?.retryTime ?? this.retryTime ?? 1000;
+  }
+
+  _pathToName(path: string): string {
+    return path.split("/").pop() ?? path;
+  }
+
+  abstract buildAbstractedClient(
+    fields?: BlobStoreGoogleParams<AuthOptions>
+  ): GoogleAbstractedClient;
+
+  buildApiKeyClient(apiKey: string): GoogleAbstractedClient {
+    return new ApiKeyGoogleAuth(apiKey);
+  }
+
+  buildApiKey(fields?: BlobStoreGoogleParams<AuthOptions>): string | undefined {
+    return fields?.apiKey ?? getEnvironmentVariable("GOOGLE_API_KEY");
+  }
+
+  buildClient(
+    fields?: BlobStoreGoogleParams<AuthOptions>
+  ): GoogleAbstractedClient {
+    const apiKey = this.buildApiKey(fields);
+    if (apiKey) {
+      return this.buildApiKeyClient(apiKey);
+    } else {
+      // TODO: Test that you can use OAuth to access
+      return this.buildAbstractedClient(fields);
+    }
+  }
+
+  async _regetMetadata(key: string): Promise<AIStudioFileObject> {
+    // Sleep for some time period
+    // eslint-disable-next-line no-promise-executor-return
+    await new Promise((resolve) => setTimeout(resolve, this.retryTime));
+
+    // Fetch the latest metadata
+    return this._getMetadata(key);
+  }
+
+  async _set([key, blob]: [
+    string,
+    MediaBlob
+  ]): Promise<AIStudioFileSaveResponse> {
+    const response = (await super._set([
+      key,
+      blob,
+    ])) as AIStudioFileSaveResponse;
+
+    let file = response.data?.file ?? { state: "FAILED" };
+    while (file.state === "PROCESSING" && file.uri && this.retryTime > 0) {
+      file = await this._regetMetadata(file.uri);
+    }
+
+    // The response should contain the name (and valid URI), so we need to
+    // update the blob with this. We can't return a new blob, since mset()
+    // doesn't return anything.
+    /* eslint-disable no-param-reassign */
+    blob.path = file.uri;
+    blob.metadata = {
+      ...blob.metadata,
+      ...file,
+    };
+    /* eslint-enable no-param-reassign */
+
+    return response;
+  }
+
+  buildSetConnection([_key, _blob]: [
+    string,
+    MediaBlob
+  ]): GoogleMultipartUploadConnection<
+    AsyncCallerCallOptions,
+    AIStudioFileResponse,
+    AuthOptions
+  > {
+    return new AIStudioFileUploadConnection(
+      this.params,
+      this.caller,
+      this.client
+    );
+  }
+
+  buildSetMetadata([_key, _blob]: [string, MediaBlob]): Record<
+    string,
+    unknown
+  > {
+    return {};
+  }
+
+  buildGetMetadataConnection(
+    key: string
+  ): GoogleDownloadConnection<
+    AsyncCallerCallOptions,
+    AIStudioFileResponse,
+    AuthOptions
+  > {
+    const params: AIStudioFileDownloadConnectionParams<AuthOptions> = {
+      ...this.params,
+      method: "GET",
+      name: this._pathToName(key),
+    };
+    return new AIStudioFileDownloadConnection<
+      AIStudioFileResponse,
+      AuthOptions
+    >(params, this.caller, this.client);
+  }
+
+  buildGetDataConnection(
+    _key: string
+  ): GoogleDownloadRawConnection<AsyncCallerCallOptions, AuthOptions> {
+    throw new Error("AI Studio File API does not provide data");
+  }
+
+  async _get(key: string): Promise<MediaBlob | undefined> {
+    const metadata = await this._getMetadata(key);
+    if (metadata) {
+      const contentType =
+        (metadata?.mimeType as string) ?? "application/octet-stream";
+      // TODO - Get the actual data (and other metadata) from an optional backing store
+      const data: MediaBlobData = {
+        value: "",
+        type: contentType,
+      };
+
+      return new MediaBlob({
+        path: key,
+        data,
+        metadata,
+      });
+    } else {
+      return undefined;
+    }
+  }
+
+  buildDeleteConnection(
+    key: string
+  ): GoogleDownloadConnection<
+    AsyncCallerCallOptions,
+    AIStudioFileResponse,
+    AuthOptions
+  > {
+    const params: AIStudioFileDownloadConnectionParams<AuthOptions> = {
+      ...this.params,
+      method: "DELETE",
+      name: this._pathToName(key),
+    };
+    return new AIStudioFileDownloadConnection<
+      AIStudioFileResponse,
+      AuthOptions
+    >(params, this.caller, this.client);
+  }
+}
diff --git a/libs/langchain-google-common/src/experimental/utils/media_core.ts b/libs/langchain-google-common/src/experimental/utils/media_core.ts
new file mode 100644
index 000000000000..f27d5c55ed52
--- /dev/null
+++ b/libs/langchain-google-common/src/experimental/utils/media_core.ts
@@ -0,0 +1,669 @@
+import { v1, v4 } from "uuid"; // FIXME - it is importing the wrong uuid, so v6 and v7 aren't implemented
+import { BaseStore } from "@langchain/core/stores";
+import { Serializable } from "@langchain/core/load/serializable";
+
+export type MediaBlobData = {
+  value: string; // In Base64 encoding
+  type: string; // The mime type and possibly encoding
+};
+
+export interface MediaBlobParameters {
+  data?: MediaBlobData;
+
+  metadata?: Record<string, unknown>;
+
+  path?: string;
+}
+
+function bytesToString(dataArray: Uint8Array): string {
+  // Need to handle the array in smaller chunks to deal with stack size limits
+  let ret = "";
+  const chunkSize = 102400;
+  for (let i = 0; i < dataArray.length; i += chunkSize) {
+    const chunk = dataArray.subarray(i, i + chunkSize);
+    ret += String.fromCharCode(...chunk);
+  }
+
+  return ret;
+}
+
+/**
+ * Represents a chunk of data that can be identified by the path where the
+ * data is (or will be) located, along with optional metadata about the data.
+ */
+export class MediaBlob extends Serializable implements MediaBlobParameters {
+  lc_serializable = true;
+
+  lc_namespace = [
+    "langchain",
+    "google_common",
+    "experimental",
+    "utils",
+    "media_core",
+  ];
+
+  data: MediaBlobData = {
+    value: "",
+    type: "text/plain",
+  };
+
+  // eslint-disable-next-line @typescript-eslint/no-explicit-any
+  metadata?: Record<string, any>;
+
+  path?: string;
+
+  constructor(params: MediaBlobParameters) {
+    super(params);
+
+    this.data = params.data ?? this.data;
+    this.metadata = params.metadata;
+    this.path = params.path;
+  }
+
+  get size(): number {
+    return this.asBytes.length;
+  }
+
+  get dataType(): string {
+    return this.data?.type ?? "";
+  }
+
+  get encoding(): string {
+    const charsetEquals = this.dataType.indexOf("charset=");
+    return charsetEquals === -1
+      ? "utf-8"
+      : this.dataType.substring(charsetEquals + 8);
+  }
+
+  get mimetype(): string {
+    const semicolon = this.dataType.indexOf(";");
+    return semicolon === -1
+      ? this.dataType
+      : this.dataType.substring(0, semicolon);
+  }
+
+  get asBytes(): Uint8Array {
+    if (!this.data) {
+      return Uint8Array.from([]);
+    }
+    const binString = atob(this.data?.value);
+    const ret = new Uint8Array(binString.length);
+    for (let co = 0; co < binString.length; co += 1) {
+      ret[co] = binString.charCodeAt(co);
+    }
+    return ret;
+  }
+
+  async asString(): Promise<string> {
+    return bytesToString(this.asBytes);
+  }
+
+  async asBase64(): Promise<string> {
+    return this.data?.value ?? "";
+  }
+
+  async asDataUrl(): Promise<string> {
+    return `data:${this.mimetype};base64,${await this.asBase64()}`;
+  }
+
+  async asUri(): Promise<string> {
+    return this.path ?? (await this.asDataUrl());
+  }
+
+  async encode(): Promise<{ encoded: string; encoding: string }> {
+    const dataUrl = await this.asDataUrl();
+    const comma = dataUrl.indexOf(",");
+    const encoded = dataUrl.substring(comma + 1);
+    const encoding: string = dataUrl.indexOf("base64") > -1 ? "base64" : "8bit";
+    return {
+      encoded,
+      encoding,
+    };
+  }
+
+  static fromDataUrl(url: string): MediaBlob {
+    if (!url.startsWith("data:")) {
+      throw new Error("Not a data: URL");
+    }
+    const colon = url.indexOf(":");
+    const semicolon = url.indexOf(";");
+    const mimeType = url.substring(colon + 1, semicolon);
+
+    const comma = url.indexOf(",");
+    const base64Data = url.substring(comma + 1);
+
+    const data: MediaBlobData = {
+      type: mimeType,
+      value: base64Data,
+    };
+
+    return new MediaBlob({
+      data,
+      path: url,
+    });
+  }
+
+  static async fromBlob(
+    blob: Blob,
+    other?: Omit<MediaBlobParameters, "data">
+  ): Promise<MediaBlob> {
+    const valueBuffer = await blob.arrayBuffer();
+    const valueArray = new Uint8Array(valueBuffer);
+    const valueStr = bytesToString(valueArray);
+    const value = btoa(valueStr);
+
+    return new MediaBlob({
+      ...other,
+      data: {
+        value,
+        type: blob.type,
+      },
+    });
+  }
+}
+
+export type ActionIfInvalidAction =
+  | "ignore"
+  | "prefixPath"
+  | "prefixUuid1"
+  | "prefixUuid4"
+  | "prefixUuid6"
+  | "prefixUuid7"
+  | "removePath";
+
+export interface BlobStoreStoreOptions {
+  /**
+   * If the path is missing or invalid in the blob, how should we create
+   * a new path?
+   * Subclasses may define their own methods, but the following are supported
+   * by default:
+   * - Undefined or an emtpy string: Reject the blob
+   * - "ignore": Attempt to store it anyway (but this may fail)
+   * - "prefixPath": Use the default prefix for the BlobStore and get the
+   *   unique portion from the URL. The original path is stored in the metadata
+   * - "prefixUuid": Use the default prefix for the BlobStore and get the
+   *   unique portion from a generated UUID. The original path is stored
+   *   in the metadata
+   */
+  actionIfInvalid?: ActionIfInvalidAction;
+
+  /**
+   * The expected prefix for URIs that are stored.
+   * This may be used to test if a MediaBlob is valid and used to create a new
+   * path if "prefixPath" or "prefixUuid" is set for actionIfInvalid.
+   */
+  pathPrefix?: string;
+}
+
+export type ActionIfBlobMissingAction = "emptyBlob";
+
+export interface BlobStoreFetchOptions {
+  /**
+   * If the blob is not found when fetching, what should we do?
+   * Subclasses may define their own methods, but the following are supported
+   * by default:
+   * - Undefined or an empty string: return undefined
+   * - "emptyBlob": return a new MediaBlob that has the path set, but nothing else.
+   */
+  actionIfBlobMissing?: ActionIfBlobMissingAction;
+}
+
+export interface BlobStoreOptions {
+  defaultStoreOptions?: BlobStoreStoreOptions;
+
+  defaultFetchOptions?: BlobStoreFetchOptions;
+}
+
+/**
+ * A specialized Store that is designed to handle MediaBlobs and use the
+ * key that is included in the blob to determine exactly how it is stored.
+ *
+ * The full details of a MediaBlob may be changed when it is stored.
+ * For example, it may get additional or different Metadata. This should be
+ * what is returned when the store() method is called.
+ *
+ * Although BlobStore extends BaseStore, not all of the methods from
+ * BaseStore may be implemented (or even possible). Those that are not
+ * implemented should be documented and throw an Error if called.
+ */
+export abstract class BlobStore extends BaseStore<string, MediaBlob> {
+  lc_namespace = ["langchain", "google-common"]; // FIXME - What should this be? And why?
+
+  defaultStoreOptions: BlobStoreStoreOptions;
+
+  defaultFetchOptions: BlobStoreFetchOptions;
+
+  constructor(opts?: BlobStoreOptions) {
+    super(opts);
+    this.defaultStoreOptions = opts?.defaultStoreOptions ?? {};
+    this.defaultFetchOptions = opts?.defaultFetchOptions ?? {};
+  }
+
+  protected async _realKey(key: string | MediaBlob): Promise<string> {
+    return typeof key === "string" ? key : await key.asUri();
+  }
+
+  /**
+   * Is the path supported by this BlobStore?
+   *
+   * Although this is async, this is expected to be a relatively fast operation
+   * (ie - you shouldn't make network calls).
+   *
+   * @param path The path to check
+   * @param opts Any options (if needed) that may be used to determine if it is valid
+   * @return If the path is supported
+   */
+  hasValidPath(
+    path: string | undefined,
+    opts?: BlobStoreStoreOptions
+  ): Promise<boolean> {
+    const prefix = opts?.pathPrefix ?? "";
+    const isPrefixed = typeof path !== "undefined" && path.startsWith(prefix);
+    return Promise.resolve(isPrefixed);
+  }
+
+  protected _blobPathSuffix(blob: MediaBlob): string {
+    // Get the path currently set and make sure we treat it as a string
+    const blobPath = `${blob.path}`;
+
+    // Advance past the first set of /
+    let pathStart = blobPath.indexOf("/") + 1;
+    while (blobPath.charAt(pathStart) === "/") {
+      pathStart += 1;
+    }
+
+    // We will use the rest as the path for a replacement
+    return blobPath.substring(pathStart);
+  }
+
+  protected async _newBlob(
+    oldBlob: MediaBlob,
+    newPath?: string
+  ): Promise<MediaBlob> {
+    const oldPath = oldBlob.path;
+    const metadata = oldBlob?.metadata ?? {};
+    metadata.langchainOldPath = oldPath;
+    const newBlob = new MediaBlob({
+      ...oldBlob,
+      metadata,
+    });
+    if (newPath) {
+      newBlob.path = newPath;
+    } else if (newBlob.path) {
+      delete newBlob.path;
+    }
+    return newBlob;
+  }
+
+  protected async _validBlobPrefixPath(
+    blob: MediaBlob,
+    opts?: BlobStoreStoreOptions
+  ): Promise<MediaBlob> {
+    const prefix = opts?.pathPrefix ?? "";
+    const suffix = this._blobPathSuffix(blob);
+    const newPath = `${prefix}${suffix}`;
+    return this._newBlob(blob, newPath);
+  }
+
+  protected _validBlobPrefixUuidFunction(
+    name: ActionIfInvalidAction | string
+  ): string {
+    switch (name) {
+      case "prefixUuid1":
+        return v1();
+      case "prefixUuid4":
+        return v4();
+      // case "prefixUuid6": return v6();
+      // case "prefixUuid7": return v7();
+      default:
+        throw new Error(`Unknown uuid function: ${name}`);
+    }
+  }
+
+  protected async _validBlobPrefixUuid(
+    blob: MediaBlob,
+    opts?: BlobStoreStoreOptions
+  ): Promise<MediaBlob> {
+    const prefix = opts?.pathPrefix ?? "";
+    const suffix = this._validBlobPrefixUuidFunction(
+      opts?.actionIfInvalid ?? "prefixUuid4"
+    );
+    const newPath = `${prefix}${suffix}`;
+    return this._newBlob(blob, newPath);
+  }
+
+  protected async _validBlobRemovePath(
+    blob: MediaBlob,
+    _opts?: BlobStoreStoreOptions
+  ): Promise<MediaBlob> {
+    return this._newBlob(blob, undefined);
+  }
+
+  /**
+   * Based on the blob and options, return a blob that has a valid path
+   * that can be saved.
+   * @param blob
+   * @param opts
+   */
+  protected async _validStoreBlob(
+    blob: MediaBlob,
+    opts?: BlobStoreStoreOptions
+  ): Promise<MediaBlob | undefined> {
+    if (await this.hasValidPath(blob.path, opts)) {
+      return blob;
+    }
+    switch (opts?.actionIfInvalid) {
+      case "ignore":
+        return blob;
+      case "prefixPath":
+        return this._validBlobPrefixPath(blob, opts);
+      case "prefixUuid1":
+      case "prefixUuid4":
+      case "prefixUuid6":
+      case "prefixUuid7":
+        return this._validBlobPrefixUuid(blob, opts);
+      case "removePath":
+        return this._validBlobRemovePath(blob, opts);
+      default:
+        return undefined;
+    }
+  }
+
+  async store(
+    blob: MediaBlob,
+    opts: BlobStoreStoreOptions = {}
+  ): Promise<MediaBlob | undefined> {
+    const allOpts: BlobStoreStoreOptions = {
+      ...this.defaultStoreOptions,
+      ...opts,
+    };
+    const validBlob = await this._validStoreBlob(blob, allOpts);
+    if (typeof validBlob !== "undefined") {
+      const validKey = await validBlob.asUri();
+      await this.mset([[validKey, validBlob]]);
+      const savedKey = await validBlob.asUri();
+      return await this.fetch(savedKey);
+    }
+    return undefined;
+  }
+
+  protected async _missingFetchBlobEmpty(
+    path: string,
+    _opts?: BlobStoreFetchOptions
+  ): Promise<MediaBlob> {
+    return new MediaBlob({ path });
+  }
+
+  protected async _missingFetchBlob(
+    path: string,
+    opts?: BlobStoreFetchOptions
+  ): Promise<MediaBlob | undefined> {
+    switch (opts?.actionIfBlobMissing) {
+      case "emptyBlob":
+        return this._missingFetchBlobEmpty(path, opts);
+      default:
+        return undefined;
+    }
+  }
+
+  async fetch(
+    key: string | MediaBlob,
+    opts: BlobStoreFetchOptions = {}
+  ): Promise<MediaBlob | undefined> {
+    const allOpts: BlobStoreFetchOptions = {
+      ...this.defaultFetchOptions,
+      ...opts,
+    };
+    const realKey = await this._realKey(key);
+    const ret = await this.mget([realKey]);
+    return ret?.[0] ?? (await this._missingFetchBlob(realKey, allOpts));
+  }
+}
+
+export interface BackedBlobStoreOptions extends BlobStoreOptions {
+  backingStore: BaseStore<string, MediaBlob>;
+}
+
+export class BackedBlobStore extends BlobStore {
+  backingStore: BaseStore<string, MediaBlob>;
+
+  constructor(opts: BackedBlobStoreOptions) {
+    super(opts);
+    this.backingStore = opts.backingStore;
+  }
+
+  mdelete(keys: string[]): Promise<void> {
+    return this.backingStore.mdelete(keys);
+  }
+
+  mget(keys: string[]): Promise<(MediaBlob | undefined)[]> {
+    return this.backingStore.mget(keys);
+  }
+
+  mset(keyValuePairs: [string, MediaBlob][]): Promise<void> {
+    return this.backingStore.mset(keyValuePairs);
+  }
+
+  yieldKeys(prefix: string | undefined): AsyncGenerator<string> {
+    return this.backingStore.yieldKeys(prefix);
+  }
+}
+
+export interface ReadThroughBlobStoreOptions extends BlobStoreOptions {
+  baseStore: BlobStore;
+  backingStore: BlobStore;
+}
+
+export class ReadThroughBlobStore extends BlobStore {
+  baseStore: BlobStore;
+
+  backingStore: BlobStore;
+
+  constructor(opts: ReadThroughBlobStoreOptions) {
+    super(opts);
+    this.baseStore = opts.baseStore;
+    this.backingStore = opts.backingStore;
+  }
+
+  async store(
+    blob: MediaBlob,
+    opts: BlobStoreStoreOptions = {}
+  ): Promise<MediaBlob | undefined> {
+    const originalUri = await blob.asUri();
+    const newBlob = await this.backingStore.store(blob, opts);
+    if (newBlob) {
+      await this.baseStore.mset([[originalUri, newBlob]]);
+    }
+    return newBlob;
+  }
+
+  mdelete(keys: string[]): Promise<void> {
+    return this.baseStore.mdelete(keys);
+  }
+
+  mget(keys: string[]): Promise<(MediaBlob | undefined)[]> {
+    return this.baseStore.mget(keys);
+  }
+
+  mset(_keyValuePairs: [string, MediaBlob][]): Promise<void> {
+    throw new Error("Do not call ReadThroughBlobStore.mset directly");
+  }
+
+  yieldKeys(prefix: string | undefined): AsyncGenerator<string> {
+    return this.baseStore.yieldKeys(prefix);
+  }
+}
+
+export class SimpleWebBlobStore extends BlobStore {
+  _notImplementedException() {
+    throw new Error("Not implemented for SimpleWebBlobStore");
+  }
+
+  async hasValidPath(
+    path: string | undefined,
+    _opts?: BlobStoreStoreOptions
+  ): Promise<boolean> {
+    return (
+      (await super.hasValidPath(path, { pathPrefix: "https://" })) ||
+      (await super.hasValidPath(path, { pathPrefix: "http://" }))
+    );
+  }
+
+  async _fetch(url: string): Promise<MediaBlob | undefined> {
+    const ret = new MediaBlob({
+      path: url,
+    });
+    const metadata: Record<string, unknown> = {};
+    const fetchOptions = {
+      method: "GET",
+    };
+    const res = await fetch(url, fetchOptions);
+    metadata.status = res.status;
+
+    const headers: Record<string, string> = {};
+    for (const [key, value] of res.headers.entries()) {
+      headers[key] = value;
+    }
+    metadata.headers = headers;
+
+    metadata.ok = res.ok;
+    if (res.ok) {
+      const resMediaBlob = await MediaBlob.fromBlob(await res.blob());
+      ret.data = resMediaBlob.data;
+    }
+
+    ret.metadata = metadata;
+    return ret;
+  }
+
+  async mget(keys: string[]): Promise<(MediaBlob | undefined)[]> {
+    const blobMap = keys.map(this._fetch);
+    return await Promise.all(blobMap);
+  }
+
+  async mdelete(_keys: string[]): Promise<void> {
+    this._notImplementedException();
+  }
+
+  async mset(_keyValuePairs: [string, MediaBlob][]): Promise<void> {
+    this._notImplementedException();
+  }
+
+  async *yieldKeys(_prefix: string | undefined): AsyncGenerator<string> {
+    this._notImplementedException();
+    yield "";
+  }
+}
+
+/**
+ * A blob "store" that works with data: URLs that will turn the URL into
+ * a blob.
+ */
+export class DataBlobStore extends BlobStore {
+  _notImplementedException() {
+    throw new Error("Not implemented for DataBlobStore");
+  }
+
+  hasValidPath(path: string, _opts?: BlobStoreStoreOptions): Promise<boolean> {
+    return super.hasValidPath(path, { pathPrefix: "data:" });
+  }
+
+  _fetch(url: string): MediaBlob {
+    return MediaBlob.fromDataUrl(url);
+  }
+
+  async mget(keys: string[]): Promise<(MediaBlob | undefined)[]> {
+    const blobMap = keys.map(this._fetch);
+    return blobMap;
+  }
+
+  async mdelete(_keys: string[]): Promise<void> {
+    this._notImplementedException();
+  }
+
+  async mset(_keyValuePairs: [string, MediaBlob][]): Promise<void> {
+    this._notImplementedException();
+  }
+
+  async *yieldKeys(_prefix: string | undefined): AsyncGenerator<string> {
+    this._notImplementedException();
+    yield "";
+  }
+}
+
+export interface MediaManagerConfiguration {
+  /**
+   * A store that, given a common URI, returns the corresponding MediaBlob.
+   * The returned MediaBlob may have a different URI.
+   * In many cases, this will be a ReadThroughStore or something similar
+   * that has a cached version of the MediaBlob, but also a way to get
+   * a new (or refreshed) version.
+   */
+  store: BlobStore;
+
+  /**
+   * BlobStores that can resolve a URL into the MediaBlob to save
+   * in the canonical store. This list is evaluated in order.
+   * If not provided, a default list (which involves a DataBlobStore
+   * and a SimpleWebBlobStore) will be used.
+   */
+  resolvers?: BlobStore[];
+}
+
+/**
+ * Responsible for converting a URI (typically a web URL) into a MediaBlob.
+ * Allows for aliasing / caching of the requested URI and what it resolves to.
+ * This MediaBlob is expected to be usable to provide to an LLM, either
+ * through the Base64 of the media or through a canonical URI that the LLM
+ * supports.
+ */
+export class MediaManager {
+  store: BlobStore;
+
+  resolvers: BlobStore[] | undefined;
+
+  constructor(config: MediaManagerConfiguration) {
+    this.store = config.store;
+    this.resolvers = config.resolvers;
+  }
+
+  defaultResolvers(): BlobStore[] {
+    return [new DataBlobStore({}), new SimpleWebBlobStore({})];
+  }
+
+  async _isInvalid(blob: MediaBlob | undefined): Promise<boolean> {
+    return typeof blob === "undefined";
+  }
+
+  /**
+   * Given the public URI, load what is at this URI and save it
+   * in the store.
+   * @param uri The URI to resolve using the resolver
+   * @return A canonical MediaBlob for this URI
+   */
+  async _resolveAndSave(uri: string): Promise<MediaBlob | undefined> {
+    let resolvedBlob: MediaBlob | undefined;
+
+    const resolvers = this.resolvers || this.defaultResolvers();
+    for (let co = 0; co < resolvers.length; co += 1) {
+      const resolver = resolvers[co];
+      if (await resolver.hasValidPath(uri)) {
+        resolvedBlob = await resolver.fetch(uri);
+      }
+    }
+
+    if (resolvedBlob) {
+      return await this.store.store(resolvedBlob);
+    } else {
+      return new MediaBlob({});
+    }
+  }
+
+  async getMediaBlob(uri: string): Promise<MediaBlob | undefined> {
+    const aliasBlob = await this.store.fetch(uri);
+    const ret = (await this._isInvalid(aliasBlob))
+      ? await this._resolveAndSave(uri)
+      : (aliasBlob as MediaBlob);
+    return ret;
+  }
+}
diff --git a/libs/langchain-google-common/src/llms.ts b/libs/langchain-google-common/src/llms.ts
index 347098177186..e9c267aaaf65 100644
--- a/libs/langchain-google-common/src/llms.ts
+++ b/libs/langchain-google-common/src/llms.ts
@@ -21,13 +21,7 @@ import {
   copyAIModelParams,
   copyAndValidateModelParamsInto,
 } from "./utils/common.js";
-import {
-  chunkToString,
-  messageContentToParts,
-  safeResponseToBaseMessage,
-  safeResponseToString,
-  DefaultGeminiSafetyHandler,
-} from "./utils/gemini.js";
+import { DefaultGeminiSafetyHandler } from "./utils/gemini.js";
 import { ApiKeyGoogleAuth, GoogleAbstractedClient } from "./auth.js";
 import { ensureParams } from "./utils/failed_handler.js";
 import { ChatGoogleBase } from "./chat_models.js";
@@ -39,11 +33,11 @@ class GoogleLLMConnection<AuthOptions> extends AbstractGoogleLLMConnection<
   MessageContent,
   AuthOptions
 > {
-  formatContents(
+  async formatContents(
     input: MessageContent,
     _parameters: GoogleAIModelParams
-  ): GeminiContent[] {
-    const parts = messageContentToParts(input);
+  ): Promise<GeminiContent[]> {
+    const parts = await this.api.messageContentToParts(input);
     const contents: GeminiContent[] = [
       {
         role: "user", // Required by Vertex AI
@@ -189,7 +183,10 @@ export abstract class GoogleBaseLLM<AuthOptions>
   ): Promise<string> {
     const parameters = copyAIModelParams(this, options);
     const result = await this.connection.request(prompt, parameters, options);
-    const ret = safeResponseToString(result, this.safetyHandler);
+    const ret = this.connection.api.safeResponseToString(
+      result,
+      this.safetyHandler
+    );
     return ret;
   }
 
@@ -234,7 +231,7 @@ export abstract class GoogleBaseLLM<AuthOptions>
     const proxyChat = this.createProxyChat();
     try {
       for await (const chunk of proxyChat._streamIterator(input, options)) {
-        const stringValue = chunkToString(chunk);
+        const stringValue = this.connection.api.chunkToString(chunk);
         const generationChunk = new GenerationChunk({
           text: stringValue,
         });
@@ -267,7 +264,10 @@ export abstract class GoogleBaseLLM<AuthOptions>
       {},
       options as BaseLanguageModelCallOptions
     );
-    const ret = safeResponseToBaseMessage(result, this.safetyHandler);
+    const ret = this.connection.api.safeResponseToBaseMessage(
+      result,
+      this.safetyHandler
+    );
     return ret;
   }
 
diff --git a/libs/langchain-google-common/src/tests/chat_models.test.ts b/libs/langchain-google-common/src/tests/chat_models.test.ts
index dda4b68033ce..9da477df3e0e 100644
--- a/libs/langchain-google-common/src/tests/chat_models.test.ts
+++ b/libs/langchain-google-common/src/tests/chat_models.test.ts
@@ -9,6 +9,7 @@ import {
   SystemMessage,
   ToolMessage,
 } from "@langchain/core/messages";
+import { InMemoryStore } from "@langchain/core/stores";
 
 import { z } from "zod";
 import { zodToJsonSchema } from "zod-to-json-schema";
@@ -17,6 +18,12 @@ import { authOptions, MockClient, MockClientAuthInfo, mockId } from "./mock.js";
 import { GeminiTool, GoogleAIBaseLLMInput } from "../types.js";
 import { GoogleAbstractedClient } from "../auth.js";
 import { GoogleAISafetyError } from "../utils/safety.js";
+import {
+  BackedBlobStore,
+  MediaBlob,
+  MediaManager,
+  ReadThroughBlobStore,
+} from "../experimental/utils/media_core.js";
 import { removeAdditionalProperties } from "../utils/zod_to_gemini_parameters.js";
 
 class ChatGoogle extends ChatGoogleBase<MockClientAuthInfo> {
@@ -502,10 +509,6 @@ describe("Mock ChatGoogle", () => {
     expect(caught).toEqual(true);
   });
 
-  /*
-   * Images aren't supported (yet) by Gemini, but a one-round with
-   * image should work ok.
-   */
   test("3. invoke - images", async () => {
     // eslint-disable-next-line @typescript-eslint/no-explicit-any
     const record: Record<string, any> = {};
@@ -517,7 +520,7 @@ describe("Mock ChatGoogle", () => {
     };
     const model = new ChatGoogle({
       authOptions,
-      model: "gemini-pro-vision",
+      model: "gemini-1.5-flash",
     });
 
     const message: MessageContentComplex[] = [
@@ -552,6 +555,200 @@ describe("Mock ChatGoogle", () => {
     expect(result.content).toBe("A blue square.");
   });
 
+  test("3. invoke - media - invalid", async () => {
+    // eslint-disable-next-line @typescript-eslint/no-explicit-any
+    const record: Record<string, any> = {};
+    const projectId = mockId();
+    const authOptions: MockClientAuthInfo = {
+      record,
+      projectId,
+      resultFile: "chat-3-mock.json",
+    };
+    const model = new ChatGoogle({
+      authOptions,
+      model: "gemini-1.5-flash",
+    });
+
+    const message: MessageContentComplex[] = [
+      {
+        type: "text",
+        text: "What is in this image?",
+      },
+      {
+        type: "media",
+        fileUri: "mock://example.com/blue-box.png",
+      },
+    ];
+
+    const messages: BaseMessage[] = [
+      new HumanMessageChunk({ content: message }),
+    ];
+
+    try {
+      const result = await model.invoke(messages);
+      expect(result).toBeUndefined();
+    } catch (e) {
+      expect((e as Error).message).toEqual("Invalid media content");
+    }
+  });
+
+  test("3. invoke - media - no manager", async () => {
+    // eslint-disable-next-line @typescript-eslint/no-explicit-any
+    const record: Record<string, any> = {};
+    const projectId = mockId();
+    const authOptions: MockClientAuthInfo = {
+      record,
+      projectId,
+      resultFile: "chat-3-mock.json",
+    };
+    const model = new ChatGoogle({
+      authOptions,
+      model: "gemini-1.5-flash",
+    });
+
+    const message: MessageContentComplex[] = [
+      {
+        type: "text",
+        text: "What is in this image?",
+      },
+      {
+        type: "media",
+        fileUri: "mock://example.com/blue-box.png",
+        mimeType: "image/png",
+      },
+    ];
+
+    const messages: BaseMessage[] = [
+      new HumanMessageChunk({ content: message }),
+    ];
+
+    const result = await model.invoke(messages);
+
+    console.log(JSON.stringify(record.opts, null, 1));
+
+    expect(record.opts).toHaveProperty("data");
+    expect(record.opts.data).toHaveProperty("contents");
+    expect(record.opts.data.contents).toHaveLength(1);
+    expect(record.opts.data.contents[0]).toHaveProperty("parts");
+
+    const parts = record?.opts?.data?.contents[0]?.parts;
+    expect(parts).toHaveLength(2);
+    expect(parts[0]).toHaveProperty("text");
+    expect(parts[1]).toHaveProperty("fileData");
+    expect(parts[1].fileData).toHaveProperty("mimeType");
+    expect(parts[1].fileData).toHaveProperty("fileUri");
+
+    expect(result.content).toBe("A blue square.");
+  });
+
+  test("3. invoke - media - manager", async () => {
+    class MemStore extends InMemoryStore<MediaBlob> {
+      get length() {
+        return Object.keys(this.store).length;
+      }
+    }
+
+    const aliasMemory = new MemStore();
+    const aliasStore = new BackedBlobStore({
+      backingStore: aliasMemory,
+      defaultFetchOptions: {
+        actionIfBlobMissing: undefined,
+      },
+    });
+    const canonicalMemory = new MemStore();
+    const canonicalStore = new BackedBlobStore({
+      backingStore: canonicalMemory,
+      defaultStoreOptions: {
+        pathPrefix: "canonical://store/",
+        actionIfInvalid: "prefixPath",
+      },
+      defaultFetchOptions: {
+        actionIfBlobMissing: undefined,
+      },
+    });
+    const blobStore = new ReadThroughBlobStore({
+      baseStore: aliasStore,
+      backingStore: canonicalStore,
+    });
+    const resolverMemory = new MemStore();
+    const resolver = new BackedBlobStore({
+      backingStore: resolverMemory,
+      defaultFetchOptions: {
+        actionIfBlobMissing: "emptyBlob",
+      },
+    });
+    const mediaManager = new MediaManager({
+      store: blobStore,
+      resolvers: [resolver],
+    });
+
+    async function store(path: string, text: string): Promise<void> {
+      const type = path.endsWith(".png") ? "image/png" : "text/plain";
+      const blob = new MediaBlob({
+        data: {
+          value: text,
+          type,
+        },
+        path,
+      });
+      await resolver.store(blob);
+    }
+    await store("resolve://host/foo", "fooing");
+    await store("resolve://host2/bar/baz", "barbazing");
+    await store("resolve://host/foo/blue-box.png", "png");
+
+    // eslint-disable-next-line @typescript-eslint/no-explicit-any
+    const record: Record<string, any> = {};
+    const projectId = mockId();
+    const authOptions: MockClientAuthInfo = {
+      record,
+      projectId,
+      resultFile: "chat-3-mock.json",
+    };
+    const model = new ChatGoogle({
+      authOptions,
+      model: "gemini-1.5-flash",
+      mediaManager,
+    });
+
+    const message: MessageContentComplex[] = [
+      {
+        type: "text",
+        text: "What is in this image?",
+      },
+      {
+        type: "media",
+        fileUri: "resolve://host/foo/blue-box.png",
+      },
+    ];
+
+    const messages: BaseMessage[] = [
+      new HumanMessageChunk({ content: message }),
+    ];
+
+    const result = await model.invoke(messages);
+
+    console.log(JSON.stringify(record.opts, null, 1));
+
+    expect(record.opts).toHaveProperty("data");
+    expect(record.opts.data).toHaveProperty("contents");
+    expect(record.opts.data.contents).toHaveLength(1);
+    expect(record.opts.data.contents[0]).toHaveProperty("parts");
+
+    const parts = record?.opts?.data?.contents[0]?.parts;
+    expect(parts).toHaveLength(2);
+    expect(parts[0]).toHaveProperty("text");
+    expect(parts[1]).toHaveProperty("fileData");
+    expect(parts[1].fileData).toHaveProperty("mimeType");
+    expect(parts[1].fileData.mimeType).toEqual("image/png");
+    expect(parts[1].fileData).toHaveProperty("fileUri");
+    expect(parts[1].fileData.fileUri).toEqual(
+      "canonical://store/host/foo/blue-box.png"
+    );
+
+    expect(result.content).toBe("A blue square.");
+  });
+
   test("4. Functions Bind - Gemini format request", async () => {
     // eslint-disable-next-line @typescript-eslint/no-explicit-any
     const record: Record<string, any> = {};
diff --git a/libs/langchain-google-common/src/tests/utils.test.ts b/libs/langchain-google-common/src/tests/utils.test.ts
index c0398a218c67..547392c397e7 100644
--- a/libs/langchain-google-common/src/tests/utils.test.ts
+++ b/libs/langchain-google-common/src/tests/utils.test.ts
@@ -1,85 +1,419 @@
 /* eslint-disable @typescript-eslint/no-explicit-any */
-import { expect, test } from "@jest/globals";
+import { beforeEach, expect, test } from "@jest/globals";
+import { InMemoryStore } from "@langchain/core/stores";
+import { SerializedConstructor } from "@langchain/core/load/serializable";
+import { load } from "@langchain/core/load";
 import { z } from "zod";
 import { zodToGeminiParameters } from "../utils/zod_to_gemini_parameters.js";
+import {
+  BackedBlobStore,
+  BlobStore,
+  MediaBlob,
+  MediaManager,
+  ReadThroughBlobStore,
+  SimpleWebBlobStore,
+} from "../experimental/utils/media_core.js";
 import { ReadableJsonStream } from "../utils/stream.js";
 
-test("zodToGeminiParameters can convert zod schema to gemini schema", () => {
-  const zodSchema = z
-    .object({
-      operation: z
-        .enum(["add", "subtract", "multiply", "divide"])
-        .describe("The type of operation to execute"),
-      number1: z.number().describe("The first number to operate on."),
-      number2: z.number().describe("The second number to operate on."),
-      childObject: z.object({}),
-    })
-    .describe("A simple calculator tool");
-
-  const convertedSchema = zodToGeminiParameters(zodSchema);
-
-  expect(convertedSchema.type).toBe("object");
-  expect(convertedSchema.description).toBe("A simple calculator tool");
-  expect((convertedSchema as any).additionalProperties).toBeUndefined();
-  expect(convertedSchema.properties).toEqual({
-    operation: {
-      type: "string",
-      enum: ["add", "subtract", "multiply", "divide"],
-      description: "The type of operation to execute",
-    },
-    number1: {
-      type: "number",
-      description: "The first number to operate on.",
-    },
-    number2: {
-      type: "number",
-      description: "The second number to operate on.",
-    },
-    childObject: {
-      type: "object",
-      properties: {},
-    },
+describe("zodToGeminiParameters", () => {
+  test("can convert zod schema to gemini schema", () => {
+    const zodSchema = z
+      .object({
+        operation: z
+          .enum(["add", "subtract", "multiply", "divide"])
+          .describe("The type of operation to execute"),
+        number1: z.number().describe("The first number to operate on."),
+        number2: z.number().describe("The second number to operate on."),
+        childObject: z.object({}),
+      })
+      .describe("A simple calculator tool");
+
+    const convertedSchema = zodToGeminiParameters(zodSchema);
+
+    expect(convertedSchema.type).toBe("object");
+    expect(convertedSchema.description).toBe("A simple calculator tool");
+    expect((convertedSchema as any).additionalProperties).toBeUndefined();
+    expect(convertedSchema.properties).toEqual({
+      operation: {
+        type: "string",
+        enum: ["add", "subtract", "multiply", "divide"],
+        description: "The type of operation to execute",
+      },
+      number1: {
+        type: "number",
+        description: "The first number to operate on.",
+      },
+      number2: {
+        type: "number",
+        description: "The second number to operate on.",
+      },
+      childObject: {
+        type: "object",
+        properties: {},
+      },
+    });
+    expect(convertedSchema.required).toEqual([
+      "operation",
+      "number1",
+      "number2",
+      "childObject",
+    ]);
+  });
+
+  test("removes additional properties from arrays", () => {
+    const zodSchema = z
+      .object({
+        people: z
+          .object({
+            name: z.string().describe("The name of a person"),
+          })
+          .array()
+          .describe("person elements"),
+      })
+      .describe("A list of people");
+
+    const convertedSchema = zodToGeminiParameters(zodSchema);
+    expect(convertedSchema.type).toBe("object");
+    expect(convertedSchema.description).toBe("A list of people");
+    expect((convertedSchema as any).additionalProperties).toBeUndefined();
+
+    const peopleSchema = convertedSchema?.properties?.people;
+    expect(peopleSchema).not.toBeUndefined();
+
+    if (peopleSchema !== undefined) {
+      expect(peopleSchema.type).toBe("array");
+      expect((peopleSchema as any).additionalProperties).toBeUndefined();
+      expect(peopleSchema.description).toBe("person elements");
+    }
+
+    const arrayItemsSchema = peopleSchema?.items;
+    expect(arrayItemsSchema).not.toBeUndefined();
+    if (arrayItemsSchema !== undefined) {
+      expect(arrayItemsSchema.type).toBe("object");
+      expect((arrayItemsSchema as any).additionalProperties).toBeUndefined();
+    }
   });
-  expect(convertedSchema.required).toEqual([
-    "operation",
-    "number1",
-    "number2",
-    "childObject",
-  ]);
 });
 
-test("zodToGeminiParameters removes additional properties from arrays", () => {
-  const zodSchema = z
-    .object({
-      people: z
-        .object({
-          name: z.string().describe("The name of a person"),
-        })
-        .array()
-        .describe("person elements"),
-    })
-    .describe("A list of people");
-
-  const convertedSchema = zodToGeminiParameters(zodSchema);
-  expect(convertedSchema.type).toBe("object");
-  expect(convertedSchema.description).toBe("A list of people");
-  expect((convertedSchema as any).additionalProperties).toBeUndefined();
-
-  const peopleSchema = convertedSchema?.properties?.people;
-  expect(peopleSchema).not.toBeUndefined();
-
-  if (peopleSchema !== undefined) {
-    expect(peopleSchema.type).toBe("array");
-    expect((peopleSchema as any).additionalProperties).toBeUndefined();
-    expect(peopleSchema.description).toBe("person elements");
-  }
-
-  const arrayItemsSchema = peopleSchema?.items;
-  expect(arrayItemsSchema).not.toBeUndefined();
-  if (arrayItemsSchema !== undefined) {
-    expect(arrayItemsSchema.type).toBe("object");
-    expect((arrayItemsSchema as any).additionalProperties).toBeUndefined();
-  }
+describe("media core", () => {
+  test("MediaBlob plain", async () => {
+    const blob = new Blob(["This is a test"], { type: "text/plain" });
+    const mblob = await MediaBlob.fromBlob(blob);
+    expect(mblob.dataType).toEqual("text/plain");
+    expect(mblob.mimetype).toEqual("text/plain");
+    expect(mblob.encoding).toEqual("utf-8");
+    expect(await mblob.asString()).toEqual("This is a test");
+  });
+
+  test("MediaBlob charset", async () => {
+    const blob = new Blob(["This is a test"], {
+      type: "text/plain; charset=US-ASCII",
+    });
+    const mblob = await MediaBlob.fromBlob(blob);
+    expect(mblob.dataType).toEqual("text/plain; charset=us-ascii");
+    expect(mblob.mimetype).toEqual("text/plain");
+    expect(mblob.encoding).toEqual("us-ascii");
+    expect(await mblob.asString()).toEqual("This is a test");
+  });
+
+  test("MediaBlob fromDataUrl", async () => {
+    const blobData = "This is a test";
+    const blobMimeType = "text/plain";
+    const blobDataType = `${blobMimeType}; charset=US-ASCII`;
+    const blob = new Blob([blobData], {
+      type: blobDataType,
+    });
+    const mblob = await MediaBlob.fromBlob(blob);
+    const dataUrl = await mblob.asDataUrl();
+    const dblob = MediaBlob.fromDataUrl(dataUrl);
+    expect(await dblob.asString()).toEqual(blobData);
+    expect(dblob.mimetype).toEqual(blobMimeType);
+  });
+
+  test("MediaBlob serialize", async () => {
+    const blob = new Blob(["This is a test"], { type: "text/plain" });
+    const mblob = await MediaBlob.fromBlob(blob);
+    console.log("serialize mblob", mblob);
+    const serialized = mblob.toJSON() as SerializedConstructor;
+    console.log("serialized", serialized);
+    expect(serialized.kwargs).toHaveProperty("data");
+    expect(serialized.kwargs.data.value).toEqual("VGhpcyBpcyBhIHRlc3Q=");
+  });
+
+  test("MediaBlob deserialize", async () => {
+    const serialized: SerializedConstructor = {
+      lc: 1,
+      type: "constructor",
+      id: [
+        "langchain",
+        "google_common",
+        "experimental",
+        "utils",
+        "media_core",
+        "MediaBlob",
+      ],
+      kwargs: {
+        data: {
+          value: "VGhpcyBpcyBhIHRlc3Q=",
+          type: "text/plain",
+        },
+      },
+    };
+    const mblob: MediaBlob = await load(JSON.stringify(serialized), {
+      importMap: {
+        google_common__experimental__utils__media_core: await import(
+          "../experimental/utils/media_core.js"
+        ),
+      },
+    });
+    console.log("deserialize mblob", mblob);
+    expect(mblob.dataType).toEqual("text/plain");
+    expect(await mblob.asString()).toEqual("This is a test");
+  });
+
+  test("SimpleWebBlobStore fetch", async () => {
+    const webStore = new SimpleWebBlobStore();
+    const exampleBlob = await webStore.fetch("http://example.com/");
+    console.log(exampleBlob);
+    expect(exampleBlob?.mimetype).toEqual("text/html");
+    expect(exampleBlob?.encoding).toEqual("utf-8");
+    expect(exampleBlob?.size).toBeGreaterThan(0);
+    expect(exampleBlob?.metadata).toBeDefined();
+    expect(exampleBlob?.metadata?.ok).toBeTruthy();
+    expect(exampleBlob?.metadata?.status).toEqual(200);
+  });
+
+  describe("BackedBlobStore", () => {
+    test("simple", async () => {
+      const backingStore = new InMemoryStore<MediaBlob>();
+      const store = new BackedBlobStore({
+        backingStore,
+      });
+      const data = new Blob(["This is a test"], { type: "text/plain" });
+      const path = "simple://foo";
+      const blob = await MediaBlob.fromBlob(data, { path });
+      const storedBlob = await store.store(blob);
+      expect(storedBlob).toBeDefined();
+      const fetchedBlob = await store.fetch(path);
+      expect(fetchedBlob).toBeDefined();
+    });
+
+    test("missing undefined", async () => {
+      const backingStore = new InMemoryStore<MediaBlob>();
+      const store = new BackedBlobStore({
+        backingStore,
+      });
+      const path = "simple://foo";
+      const fetchedBlob = await store.fetch(path);
+      expect(fetchedBlob).toBeUndefined();
+    });
+
+    test("missing emptyBlob defaultConfig", async () => {
+      const backingStore = new InMemoryStore<MediaBlob>();
+      const store = new BackedBlobStore({
+        backingStore,
+        defaultFetchOptions: {
+          actionIfBlobMissing: "emptyBlob",
+        },
+      });
+      const path = "simple://foo";
+      const fetchedBlob = await store.fetch(path);
+      expect(fetchedBlob).toBeDefined();
+      expect(fetchedBlob?.size).toEqual(0);
+      expect(fetchedBlob?.path).toEqual(path);
+    });
+
+    test("missing undefined fetch", async () => {
+      const backingStore = new InMemoryStore<MediaBlob>();
+      const store = new BackedBlobStore({
+        backingStore,
+        defaultFetchOptions: {
+          actionIfBlobMissing: "emptyBlob",
+        },
+      });
+      const path = "simple://foo";
+      const fetchedBlob = await store.fetch(path, {
+        actionIfBlobMissing: undefined,
+      });
+      expect(fetchedBlob).toBeUndefined();
+    });
+
+    test("invalid undefined", async () => {
+      const backingStore = new InMemoryStore<MediaBlob>();
+      const store = new BackedBlobStore({
+        backingStore,
+        defaultStoreOptions: {
+          pathPrefix: "example://bar/",
+        },
+      });
+      const path = "simple://foo";
+      const data = new Blob(["This is a test"], { type: "text/plain" });
+      const blob = await MediaBlob.fromBlob(data, { path });
+      const storedBlob = await store.store(blob);
+      expect(storedBlob).toBeUndefined();
+    });
+
+    test("invalid ignore", async () => {
+      const backingStore = new InMemoryStore<MediaBlob>();
+      const store = new BackedBlobStore({
+        backingStore,
+        defaultStoreOptions: {
+          actionIfInvalid: "ignore",
+          pathPrefix: "example://bar/",
+        },
+      });
+      const path = "simple://foo";
+      const data = new Blob(["This is a test"], { type: "text/plain" });
+      const blob = await MediaBlob.fromBlob(data, { path });
+      const storedBlob = await store.store(blob);
+      expect(storedBlob).toBeDefined();
+      expect(storedBlob?.path).toEqual(path);
+      expect(storedBlob?.metadata).toBeUndefined();
+    });
+
+    test("invalid prefixPath", async () => {
+      const backingStore = new InMemoryStore<MediaBlob>();
+      const store = new BackedBlobStore({
+        backingStore,
+        defaultStoreOptions: {
+          actionIfInvalid: "prefixPath",
+          pathPrefix: "example://bar/",
+        },
+      });
+      const path = "simple://foo";
+      const data = new Blob(["This is a test"], { type: "text/plain" });
+      const blob = await MediaBlob.fromBlob(data, { path });
+      const storedBlob = await store.store(blob);
+      expect(storedBlob?.path).toEqual("example://bar/foo");
+      expect(await storedBlob?.asString()).toEqual("This is a test");
+      expect(storedBlob?.metadata?.langchainOldPath).toEqual(path);
+    });
+
+    test("invalid prefixUuid", async () => {
+      const backingStore = new InMemoryStore<MediaBlob>();
+      const store = new BackedBlobStore({
+        backingStore,
+        defaultStoreOptions: {
+          actionIfInvalid: "prefixUuid4",
+          pathPrefix: "example://bar/",
+        },
+      });
+      const path = "simple://foo";
+      const data = new Blob(["This is a test"], { type: "text/plain" });
+      const metadata = {
+        alpha: "one",
+        bravo: "two",
+      };
+      const blob = await MediaBlob.fromBlob(data, { path, metadata });
+      const storedBlob = await store.store(blob);
+      expect(storedBlob?.path).toMatch(
+        /example:\/\/bar\/[a-f0-9]{8}(-[a-f0-9]{4}){3}-[a-f0-9]{12}$/i
+      );
+      expect(storedBlob?.size).toEqual(14);
+      expect(await storedBlob?.asString()).toEqual("This is a test");
+      expect(storedBlob?.metadata?.alpha).toEqual("one");
+      expect(storedBlob?.metadata?.langchainOldPath).toEqual(path);
+    });
+  });
+
+  describe("MediaManager", () => {
+    class MemStore extends InMemoryStore<MediaBlob> {
+      get length() {
+        return Object.keys(this.store).length;
+      }
+    }
+
+    let mediaManager: MediaManager;
+    let aliasMemory: MemStore;
+    let canonicalMemory: MemStore;
+    let resolverMemory: MemStore;
+
+    async function store(
+      blobStore: BlobStore,
+      path: string,
+      text: string
+    ): Promise<void> {
+      const data = new Blob([text], { type: "text/plain" });
+      const blob = await MediaBlob.fromBlob(data, { path });
+      await blobStore.store(blob);
+    }
+
+    beforeEach(async () => {
+      aliasMemory = new MemStore();
+      const aliasStore = new BackedBlobStore({
+        backingStore: aliasMemory,
+        defaultFetchOptions: {
+          actionIfBlobMissing: undefined,
+        },
+      });
+      canonicalMemory = new MemStore();
+      const canonicalStore = new BackedBlobStore({
+        backingStore: canonicalMemory,
+        defaultStoreOptions: {
+          pathPrefix: "canonical://store/",
+          actionIfInvalid: "prefixPath",
+        },
+        defaultFetchOptions: {
+          actionIfBlobMissing: undefined,
+        },
+      });
+      resolverMemory = new MemStore();
+      const resolver = new BackedBlobStore({
+        backingStore: resolverMemory,
+        defaultFetchOptions: {
+          actionIfBlobMissing: "emptyBlob",
+        },
+      });
+      const mediaStore = new ReadThroughBlobStore({
+        baseStore: aliasStore,
+        backingStore: canonicalStore,
+      });
+      mediaManager = new MediaManager({
+        store: mediaStore,
+        resolvers: [resolver],
+      });
+      await store(resolver, "resolve://host/foo", "fooing");
+      await store(resolver, "resolve://host2/bar/baz", "barbazing");
+    });
+
+    test("environment", async () => {
+      expect(resolverMemory.length).toEqual(2);
+      const fooBlob = await mediaManager.resolvers?.[0]?.fetch(
+        "resolve://host/foo"
+      );
+      expect(await fooBlob?.asString()).toEqual("fooing");
+    });
+
+    test("simple", async () => {
+      const uri = "resolve://host/foo";
+      const curi = "canonical://store/host/foo";
+      const blob = await mediaManager.getMediaBlob(uri);
+      expect(await blob?.asString()).toEqual("fooing");
+      expect(blob?.path).toEqual(curi);
+
+      // In the alias store,
+      // we should be able to fetch it by the resolve uri, but the
+      // path in the blob itself should be the canonical uri
+      expect(aliasMemory.length).toEqual(1);
+      const mediaStore: ReadThroughBlobStore =
+        mediaManager.store as ReadThroughBlobStore;
+      const aliasBlob = await mediaStore.baseStore.fetch(uri);
+      expect(aliasBlob).toBeDefined();
+      expect(aliasBlob?.path).toEqual(curi);
+      expect(await aliasBlob?.asString()).toEqual("fooing");
+
+      // For the canonical store,
+      // fetching it by the resolve uri should fail
+      // but fetching it by the canonical uri should succeed
+      expect(canonicalMemory.length).toEqual(1);
+      const canonicalBlobU = await mediaStore.backingStore.fetch(uri);
+      expect(canonicalBlobU).toBeUndefined();
+      const canonicalBlob = await mediaStore.backingStore.fetch(curi);
+      expect(canonicalBlob).toBeDefined();
+      expect(canonicalBlob?.path).toEqual(curi);
+      expect(await canonicalBlob?.asString()).toEqual("fooing");
+    });
+  });
 });
 
 function toUint8Array(data: string): Uint8Array {
diff --git a/libs/langchain-google-common/src/types.ts b/libs/langchain-google-common/src/types.ts
index 7721b5136704..4fecd254693b 100644
--- a/libs/langchain-google-common/src/types.ts
+++ b/libs/langchain-google-common/src/types.ts
@@ -4,6 +4,7 @@ import type {
   BindToolsInput,
 } from "@langchain/core/language_models/chat_models";
 import type { JsonStream } from "./utils/stream.js";
+import { MediaManager } from "./experimental/utils/media_core.js";
 
 /**
  * Parameters needed to setup the client connection.
@@ -147,7 +148,8 @@ export interface GoogleAIBaseLLMInput<AuthOptions>
   extends BaseLLMParams,
     GoogleConnectionParams<AuthOptions>,
     GoogleAIModelParams,
-    GoogleAISafetyParams {}
+    GoogleAISafetyParams,
+    GeminiAPIConfig {}
 
 export interface GoogleAIBaseLanguageModelCallOptions
   extends BaseChatModelCallOptions,
@@ -172,6 +174,10 @@ export interface GoogleResponse {
   data: any;
 }
 
+export interface GoogleRawResponse extends GoogleResponse {
+  data: Blob;
+}
+
 export interface GeminiPartText {
   text: string;
 }
@@ -183,7 +189,6 @@ export interface GeminiPartInlineData {
   };
 }
 
-// Vertex AI only
 export interface GeminiPartFileData {
   fileData: {
     mimeType: string;
@@ -342,3 +347,7 @@ export interface GeminiJsonSchemaDirty extends GeminiJsonSchema {
   properties?: Record<string, GeminiJsonSchemaDirty>;
   additionalProperties?: boolean;
 }
+
+export interface GeminiAPIConfig {
+  mediaManager?: MediaManager;
+}
diff --git a/libs/langchain-google-common/src/utils/gemini.ts b/libs/langchain-google-common/src/utils/gemini.ts
index d230203a85de..aab0699cec56 100644
--- a/libs/langchain-google-common/src/utils/gemini.ts
+++ b/libs/langchain-google-common/src/utils/gemini.ts
@@ -19,7 +19,6 @@ import {
   ChatGeneration,
   ChatGenerationChunk,
   ChatResult,
-  Generation,
 } from "@langchain/core/outputs";
 import { ToolCallChunk } from "@langchain/core/messages/tool";
 import type {
@@ -34,8 +33,32 @@ import type {
   GenerateContentResponseData,
   GoogleAISafetyHandler,
   GeminiPartFunctionCall,
+  GeminiAPIConfig,
 } from "../types.js";
 import { GoogleAISafetyError } from "./safety.js";
+import { MediaBlob } from "../experimental/utils/media_core.js";
+
+export interface FunctionCall {
+  name: string;
+  arguments: string;
+}
+
+export interface ToolCall {
+  id: string;
+  type: "function";
+  function: FunctionCall;
+}
+
+export interface FunctionCallRaw {
+  name: string;
+  arguments: object;
+}
+
+export interface ToolCallRaw {
+  id: string;
+  type: "function";
+  function: FunctionCallRaw;
+}
 
 const extractMimeType = (
   str: string
@@ -49,671 +72,686 @@ const extractMimeType = (
   return null;
 };
 
-function messageContentText(
-  content: MessageContentText
-): GeminiPartText | null {
-  if (content?.text && content?.text.length > 0) {
-    return {
-      text: content.text,
-    };
-  } else {
-    return null;
+export function getGeminiAPI(config?: GeminiAPIConfig) {
+  function messageContentText(
+    content: MessageContentText
+  ): GeminiPartText | null {
+    if (content?.text && content?.text.length > 0) {
+      return {
+        text: content.text,
+      };
+    } else {
+      return null;
+    }
   }
-}
 
-function messageContentImageUrl(
-  content: MessageContentImageUrl
-): GeminiPartInlineData | GeminiPartFileData {
-  const url: string =
-    typeof content.image_url === "string"
-      ? content.image_url
-      : content.image_url.url;
-  if (!url) {
-    throw new Error("Missing Image URL");
-  }
+  function messageContentImageUrl(
+    content: MessageContentImageUrl
+  ): GeminiPartInlineData | GeminiPartFileData {
+    const url: string =
+      typeof content.image_url === "string"
+        ? content.image_url
+        : content.image_url.url;
+    if (!url) {
+      throw new Error("Missing Image URL");
+    }
 
-  const mineTypeAndData = extractMimeType(url);
-  if (mineTypeAndData) {
-    return {
-      inlineData: mineTypeAndData,
-    };
-  } else {
-    // FIXME - need some way to get mime type
-    return {
-      fileData: {
-        mimeType: "image/png",
-        fileUri: url,
-      },
-    };
+    const mineTypeAndData = extractMimeType(url);
+    if (mineTypeAndData) {
+      return {
+        inlineData: mineTypeAndData,
+      };
+    } else {
+      // FIXME - need some way to get mime type
+      return {
+        fileData: {
+          mimeType: "image/png",
+          fileUri: url,
+        },
+      };
+    }
   }
-}
 
-function messageContentMedia(
-  // eslint-disable-next-line @typescript-eslint/no-explicit-any
-  content: Record<string, any>
-): GeminiPartInlineData | GeminiPartFileData {
-  if ("mimeType" in content && "data" in content) {
-    return {
-      inlineData: {
-        mimeType: content.mimeType,
-        data: content.data,
-      },
-    };
-  } else if ("mimeType" in content && "fileUri" in content) {
+  async function blobToFileData(blob: MediaBlob): Promise<GeminiPartFileData> {
     return {
       fileData: {
-        mimeType: content.mimeType,
-        fileUri: content.fileUri,
+        fileUri: blob.path!,
+        mimeType: blob.mimetype,
       },
     };
   }
 
-  throw new Error("Invalid media content");
-}
+  async function fileUriContentToBlob(
+    uri: string
+  ): Promise<MediaBlob | undefined> {
+    return config?.mediaManager?.getMediaBlob(uri);
+  }
 
-export function messageContentToParts(content: MessageContent): GeminiPart[] {
-  // Convert a string to a text type MessageContent if needed
-  const messageContent: MessageContent =
-    typeof content === "string"
-      ? [
-          {
-            type: "text",
-            text: content,
-          },
-        ]
-      : content;
-
-  // eslint-disable-next-line array-callback-return
-  const parts: GeminiPart[] = messageContent
-    .map((content) => {
-      switch (content.type) {
-        case "text":
-          if ("text" in content) {
-            return messageContentText(content as MessageContentText);
-          }
-          break;
-        case "image_url":
-          if ("image_url" in content) {
-            // Type guard for MessageContentImageUrl
-            return messageContentImageUrl(content as MessageContentImageUrl);
-          }
-          break;
-        case "media":
-          return messageContentMedia(content);
-        default:
-          throw new Error(
-            `Unsupported type received while converting message to message parts`
-          );
-      }
-      throw new Error(
-        `Cannot coerce "${content.type}" message part into a string.`
-      );
-    })
-    .reduce((acc: GeminiPart[], val: GeminiPart | null | undefined) => {
-      if (val) {
-        return [...acc, val];
-      } else {
-        return acc;
+  async function messageContentMedia(
+    // eslint-disable-next-line @typescript-eslint/no-explicit-any
+    content: Record<string, any>
+  ): Promise<GeminiPartInlineData | GeminiPartFileData> {
+    if ("mimeType" in content && "data" in content) {
+      return {
+        inlineData: {
+          mimeType: content.mimeType,
+          data: content.data,
+        },
+      };
+    } else if ("mimeType" in content && "fileUri" in content) {
+      return {
+        fileData: {
+          mimeType: content.mimeType,
+          fileUri: content.fileUri,
+        },
+      };
+    } else {
+      const uri = content.fileUri;
+      const blob = await fileUriContentToBlob(uri);
+      if (blob) {
+        return await blobToFileData(blob);
       }
-    }, []);
-
-  return parts;
-}
+    }
 
-function messageToolCallsToParts(toolCalls: ToolCall[]): GeminiPart[] {
-  if (!toolCalls || toolCalls.length === 0) {
-    return [];
+    throw new Error("Invalid media content");
   }
 
-  return toolCalls.map((tool: ToolCall) => {
-    let args = {};
-    if (tool?.function?.arguments) {
-      const argStr = tool.function.arguments;
-      args = JSON.parse(argStr);
+  async function messageContentComplexToPart(
+    content: MessageContentComplex
+  ): Promise<GeminiPart | null> {
+    switch (content.type) {
+      case "text":
+        if ("text" in content) {
+          return messageContentText(content as MessageContentText);
+        }
+        break;
+      case "image_url":
+        if ("image_url" in content) {
+          // Type guard for MessageContentImageUrl
+          return messageContentImageUrl(content as MessageContentImageUrl);
+        }
+        break;
+      case "media":
+        return await messageContentMedia(content);
+      default:
+        throw new Error(
+          `Unsupported type received while converting message to message parts`
+        );
     }
-    return {
-      functionCall: {
-        name: tool.function.name,
-        args,
-      },
-    };
-  });
-}
+    throw new Error(
+      `Cannot coerce "${content.type}" message part into a string.`
+    );
+  }
+
+  async function messageContentComplexToParts(
+    content: MessageContentComplex[]
+  ): Promise<(GeminiPart | null)[]> {
+    const contents = content.map(messageContentComplexToPart);
+    return Promise.all(contents);
+  }
 
-function messageKwargsToParts(kwargs: Record<string, unknown>): GeminiPart[] {
-  const ret: GeminiPart[] = [];
+  async function messageContentToParts(
+    content: MessageContent
+  ): Promise<GeminiPart[]> {
+    // Convert a string to a text type MessageContent if needed
+    const messageContent: MessageContentComplex[] =
+      typeof content === "string"
+        ? [
+            {
+              type: "text",
+              text: content,
+            },
+          ]
+        : content;
+
+    // Get all of the parts, even those that don't correctly resolve
+    const allParts = await messageContentComplexToParts(messageContent);
+
+    // Remove any invalid parts
+    const parts: GeminiPart[] = allParts.reduce(
+      (acc: GeminiPart[], val: GeminiPart | null | undefined) => {
+        if (val) {
+          return [...acc, val];
+        } else {
+          return acc;
+        }
+      },
+      []
+    );
 
-  if (kwargs?.tool_calls) {
-    ret.push(...messageToolCallsToParts(kwargs.tool_calls as ToolCall[]));
+    return parts;
   }
 
-  return ret;
-}
+  function messageToolCallsToParts(toolCalls: ToolCall[]): GeminiPart[] {
+    if (!toolCalls || toolCalls.length === 0) {
+      return [];
+    }
 
-function roleMessageToContent(
-  role: GeminiRole,
-  message: BaseMessage
-): GeminiContent[] {
-  const contentParts: GeminiPart[] = messageContentToParts(message.content);
-  let toolParts: GeminiPart[];
-  if (isAIMessage(message) && !!message.tool_calls?.length) {
-    toolParts = message.tool_calls.map(
-      (toolCall): GeminiPart => ({
+    return toolCalls.map((tool: ToolCall) => {
+      let args = {};
+      if (tool?.function?.arguments) {
+        const argStr = tool.function.arguments;
+        args = JSON.parse(argStr);
+      }
+      return {
         functionCall: {
-          name: toolCall.name,
-          args: toolCall.args,
+          name: tool.function.name,
+          args,
         },
-      })
-    );
-  } else {
-    toolParts = messageKwargsToParts(message.additional_kwargs);
-  }
-  const parts: GeminiPart[] = [...contentParts, ...toolParts];
-  return [
-    {
-      role,
-      parts,
-    },
-  ];
-}
+      };
+    });
+  }
 
-function systemMessageToContent(
-  message: SystemMessage,
-  useSystemInstruction: boolean
-): GeminiContent[] {
-  return useSystemInstruction
-    ? roleMessageToContent("system", message)
-    : [
-        ...roleMessageToContent("user", message),
-        ...roleMessageToContent("model", new AIMessage("Ok")),
-      ];
-}
+  function messageKwargsToParts(kwargs: Record<string, unknown>): GeminiPart[] {
+    const ret: GeminiPart[] = [];
+
+    if (kwargs?.tool_calls) {
+      ret.push(...messageToolCallsToParts(kwargs.tool_calls as ToolCall[]));
+    }
 
-function toolMessageToContent(
-  message: ToolMessage,
-  prevMessage: BaseMessage
-): GeminiContent[] {
-  const contentStr =
-    typeof message.content === "string"
-      ? message.content
-      : message.content.reduce(
-          (acc: string, content: MessageContentComplex) => {
-            if (content.type === "text") {
-              return acc + content.text;
-            } else {
-              return acc;
-            }
+    return ret;
+  }
+
+  async function roleMessageToContent(
+    role: GeminiRole,
+    message: BaseMessage
+  ): Promise<GeminiContent[]> {
+    const contentParts: GeminiPart[] = await messageContentToParts(
+      message.content
+    );
+    let toolParts: GeminiPart[];
+    if (isAIMessage(message) && !!message.tool_calls?.length) {
+      toolParts = message.tool_calls.map(
+        (toolCall): GeminiPart => ({
+          functionCall: {
+            name: toolCall.name,
+            args: toolCall.args,
           },
-          ""
-        );
-  // Hacky :(
-  const responseName =
-    (isAIMessage(prevMessage) && !!prevMessage.tool_calls?.length
-      ? prevMessage.tool_calls[0].name
-      : prevMessage.name) ?? message.tool_call_id;
-  try {
-    const content = JSON.parse(contentStr);
+        })
+      );
+    } else {
+      toolParts = messageKwargsToParts(message.additional_kwargs);
+    }
+    const parts: GeminiPart[] = [...contentParts, ...toolParts];
     return [
       {
-        role: "function",
-        parts: [
-          {
-            functionResponse: {
-              name: responseName,
-              response: { content },
-            },
-          },
-        ],
+        role,
+        parts,
       },
     ];
-  } catch (_) {
-    return [
-      {
-        role: "function",
-        parts: [
-          {
-            functionResponse: {
-              name: responseName,
-              response: { content: contentStr },
+  }
+
+  async function systemMessageToContent(
+    message: SystemMessage,
+    useSystemInstruction: boolean
+  ): Promise<GeminiContent[]> {
+    return useSystemInstruction
+      ? roleMessageToContent("system", message)
+      : [
+          ...(await roleMessageToContent("user", message)),
+          ...(await roleMessageToContent("model", new AIMessage("Ok"))),
+        ];
+  }
+
+  function toolMessageToContent(
+    message: ToolMessage,
+    prevMessage: BaseMessage
+  ): GeminiContent[] {
+    const contentStr =
+      typeof message.content === "string"
+        ? message.content
+        : message.content.reduce(
+            (acc: string, content: MessageContentComplex) => {
+              if (content.type === "text") {
+                return acc + content.text;
+              } else {
+                return acc;
+              }
             },
-          },
-        ],
-      },
-    ];
+            ""
+          );
+    // Hacky :(
+    const responseName =
+      (isAIMessage(prevMessage) && !!prevMessage.tool_calls?.length
+        ? prevMessage.tool_calls[0].name
+        : prevMessage.name) ?? message.tool_call_id;
+    try {
+      const content = JSON.parse(contentStr);
+      return [
+        {
+          role: "function",
+          parts: [
+            {
+              functionResponse: {
+                name: responseName,
+                response: { content },
+              },
+            },
+          ],
+        },
+      ];
+    } catch (_) {
+      return [
+        {
+          role: "function",
+          parts: [
+            {
+              functionResponse: {
+                name: responseName,
+                response: { content: contentStr },
+              },
+            },
+          ],
+        },
+      ];
+    }
   }
-}
 
-export function baseMessageToContent(
-  message: BaseMessage,
-  prevMessage: BaseMessage | undefined,
-  useSystemInstruction: boolean
-): GeminiContent[] {
-  const type = message._getType();
-  switch (type) {
-    case "system":
-      return systemMessageToContent(
-        message as SystemMessage,
-        useSystemInstruction
-      );
-    case "human":
-      return roleMessageToContent("user", message);
-    case "ai":
-      return roleMessageToContent("model", message);
-    case "tool":
-      if (!prevMessage) {
-        throw new Error(
-          "Tool messages cannot be the first message passed to the model."
+  async function baseMessageToContent(
+    message: BaseMessage,
+    prevMessage: BaseMessage | undefined,
+    useSystemInstruction: boolean
+  ): Promise<GeminiContent[]> {
+    const type = message._getType();
+    switch (type) {
+      case "system":
+        return systemMessageToContent(
+          message as SystemMessage,
+          useSystemInstruction
         );
-      }
-      return toolMessageToContent(message as ToolMessage, prevMessage);
-    default:
-      console.log(`Unsupported message type: ${type}`);
-      return [];
+      case "human":
+        return roleMessageToContent("user", message);
+      case "ai":
+        return roleMessageToContent("model", message);
+      case "tool":
+        if (!prevMessage) {
+          throw new Error(
+            "Tool messages cannot be the first message passed to the model."
+          );
+        }
+        return toolMessageToContent(message as ToolMessage, prevMessage);
+      default:
+        console.log(`Unsupported message type: ${type}`);
+        return [];
+    }
   }
-}
 
-function textPartToMessageContent(part: GeminiPartText): MessageContentText {
-  return {
-    type: "text",
-    text: part.text,
-  };
-}
+  function textPartToMessageContent(part: GeminiPartText): MessageContentText {
+    return {
+      type: "text",
+      text: part.text,
+    };
+  }
 
-function inlineDataPartToMessageContent(
-  part: GeminiPartInlineData
-): MessageContentImageUrl {
-  return {
-    type: "image_url",
-    image_url: `data:${part.inlineData.mimeType};base64,${part.inlineData.data}`,
-  };
-}
+  function inlineDataPartToMessageContent(
+    part: GeminiPartInlineData
+  ): MessageContentImageUrl {
+    return {
+      type: "image_url",
+      image_url: `data:${part.inlineData.mimeType};base64,${part.inlineData.data}`,
+    };
+  }
 
-function fileDataPartToMessageContent(
-  part: GeminiPartFileData
-): MessageContentImageUrl {
-  return {
-    type: "image_url",
-    image_url: part.fileData.fileUri,
-  };
-}
+  function fileDataPartToMessageContent(
+    part: GeminiPartFileData
+  ): MessageContentImageUrl {
+    return {
+      type: "image_url",
+      image_url: part.fileData.fileUri,
+    };
+  }
 
-export function partsToMessageContent(parts: GeminiPart[]): MessageContent {
-  return parts
-    .map((part) => {
-      if (part === undefined || part === null) {
-        return null;
-      } else if ("text" in part) {
-        return textPartToMessageContent(part);
-      } else if ("inlineData" in part) {
-        return inlineDataPartToMessageContent(part);
-      } else if ("fileData" in part) {
-        return fileDataPartToMessageContent(part);
-      } else {
-        return null;
-      }
-    })
-    .reduce((acc, content) => {
-      if (content) {
-        acc.push(content);
-      }
-      return acc;
-    }, [] as MessageContentComplex[]);
-}
+  function partsToMessageContent(parts: GeminiPart[]): MessageContent {
+    return parts
+      .map((part) => {
+        if (part === undefined || part === null) {
+          return null;
+        } else if ("text" in part) {
+          return textPartToMessageContent(part);
+        } else if ("inlineData" in part) {
+          return inlineDataPartToMessageContent(part);
+        } else if ("fileData" in part) {
+          return fileDataPartToMessageContent(part);
+        } else {
+          return null;
+        }
+      })
+      .reduce((acc, content) => {
+        if (content) {
+          acc.push(content);
+        }
+        return acc;
+      }, [] as MessageContentComplex[]);
+  }
 
-interface FunctionCall {
-  name: string;
-  arguments: string;
-}
+  function toolRawToTool(raw: ToolCallRaw): ToolCall {
+    return {
+      id: raw.id,
+      type: raw.type,
+      function: {
+        name: raw.function.name,
+        arguments: JSON.stringify(raw.function.arguments),
+      },
+    };
+  }
 
-interface ToolCall {
-  id: string;
-  type: "function";
-  function: FunctionCall;
-}
+  function functionCallPartToToolRaw(
+    part: GeminiPartFunctionCall
+  ): ToolCallRaw {
+    return {
+      id: uuidv4().replace(/-/g, ""),
+      type: "function",
+      function: {
+        name: part.functionCall.name,
+        arguments: part.functionCall.args ?? {},
+      },
+    };
+  }
 
-interface FunctionCallRaw {
-  name: string;
-  arguments: object;
-}
+  function partsToToolsRaw(parts: GeminiPart[]): ToolCallRaw[] {
+    return parts
+      .map((part: GeminiPart) => {
+        if (part === undefined || part === null) {
+          return null;
+        } else if ("functionCall" in part) {
+          return functionCallPartToToolRaw(part);
+        } else {
+          return null;
+        }
+      })
+      .reduce((acc, content) => {
+        if (content) {
+          acc.push(content);
+        }
+        return acc;
+      }, [] as ToolCallRaw[]);
+  }
 
-interface ToolCallRaw {
-  id: string;
-  type: "function";
-  function: FunctionCallRaw;
-}
+  function toolsRawToTools(raws: ToolCallRaw[]): ToolCall[] {
+    return raws.map((raw) => toolRawToTool(raw));
+  }
 
-function toolRawToTool(raw: ToolCallRaw): ToolCall {
-  return {
-    id: raw.id,
-    type: raw.type,
-    function: {
-      name: raw.function.name,
-      arguments: JSON.stringify(raw.function.arguments),
-    },
-  };
-}
+  function responseToGenerateContentResponseData(
+    response: GoogleLLMResponse
+  ): GenerateContentResponseData {
+    if ("nextChunk" in response.data) {
+      throw new Error("Cannot convert Stream to GenerateContentResponseData");
+    } else if (Array.isArray(response.data)) {
+      // Collapse the array of response data as if it was a single one
+      return response.data.reduce(
+        (
+          acc: GenerateContentResponseData,
+          val: GenerateContentResponseData
+        ): GenerateContentResponseData => {
+          // Add all the parts
+          // FIXME: Handle other candidates?
+          const valParts = val?.candidates?.[0]?.content?.parts ?? [];
+          acc.candidates[0].content.parts.push(...valParts);
+
+          // FIXME: Merge promptFeedback and safety settings
+          acc.promptFeedback = val.promptFeedback;
+          return acc;
+        }
+      );
+    } else {
+      return response.data as GenerateContentResponseData;
+    }
+  }
 
-function functionCallPartToToolRaw(part: GeminiPartFunctionCall): ToolCallRaw {
-  return {
-    id: uuidv4().replace(/-/g, ""),
-    type: "function",
-    function: {
-      name: part.functionCall.name,
-      arguments: part.functionCall.args ?? {},
-    },
-  };
-}
+  function responseToParts(response: GoogleLLMResponse): GeminiPart[] {
+    const responseData = responseToGenerateContentResponseData(response);
+    const parts = responseData?.candidates?.[0]?.content?.parts ?? [];
+    return parts;
+  }
 
-export function partsToToolsRaw(parts: GeminiPart[]): ToolCallRaw[] {
-  return parts
-    .map((part: GeminiPart) => {
-      if (part === undefined || part === null) {
-        return null;
-      } else if ("functionCall" in part) {
-        return functionCallPartToToolRaw(part);
-      } else {
-        return null;
-      }
-    })
-    .reduce((acc, content) => {
-      if (content) {
-        acc.push(content);
-      }
-      return acc;
-    }, [] as ToolCallRaw[]);
-}
+  function partToText(part: GeminiPart): string {
+    return "text" in part ? part.text : "";
+  }
 
-export function toolsRawToTools(raws: ToolCallRaw[]): ToolCall[] {
-  return raws.map((raw) => toolRawToTool(raw));
-}
+  function responseToString(response: GoogleLLMResponse): string {
+    const parts = responseToParts(response);
+    const ret: string = parts.reduce((acc, part) => {
+      const val = partToText(part);
+      return acc + val;
+    }, "");
+    return ret;
+  }
 
-export function responseToGenerateContentResponseData(
-  response: GoogleLLMResponse
-): GenerateContentResponseData {
-  if ("nextChunk" in response.data) {
-    throw new Error("Cannot convert Stream to GenerateContentResponseData");
-  } else if (Array.isArray(response.data)) {
-    // Collapse the array of response data as if it was a single one
-    return response.data.reduce(
-      (
-        acc: GenerateContentResponseData,
-        val: GenerateContentResponseData
-      ): GenerateContentResponseData => {
-        // Add all the parts
-        // FIXME: Handle other candidates?
-        const valParts = val?.candidates?.[0]?.content?.parts ?? [];
-        acc.candidates[0].content.parts.push(...valParts);
-
-        // FIXME: Merge promptFeedback and safety settings
-        acc.promptFeedback = val.promptFeedback;
-        return acc;
+  function safeResponseTo<RetType>(
+    response: GoogleLLMResponse,
+    safetyHandler: GoogleAISafetyHandler,
+    responseTo: (response: GoogleLLMResponse) => RetType
+  ): RetType {
+    try {
+      const safeResponse = safetyHandler.handle(response);
+      return responseTo(safeResponse);
+    } catch (xx) {
+      // eslint-disable-next-line no-instanceof/no-instanceof
+      if (xx instanceof GoogleAISafetyError) {
+        const ret = responseTo(xx.response);
+        xx.reply = ret;
       }
-    );
-  } else {
-    return response.data as GenerateContentResponseData;
+      throw xx;
+    }
   }
-}
 
-export function responseToParts(response: GoogleLLMResponse): GeminiPart[] {
-  const responseData = responseToGenerateContentResponseData(response);
-  const parts = responseData?.candidates?.[0]?.content?.parts ?? [];
-  return parts;
-}
-
-export function partToText(part: GeminiPart): string {
-  return "text" in part ? part.text : "";
-}
-
-export function responseToString(response: GoogleLLMResponse): string {
-  const parts = responseToParts(response);
-  const ret: string = parts.reduce((acc, part) => {
-    const val = partToText(part);
-    return acc + val;
-  }, "");
-  return ret;
-}
+  function safeResponseToString(
+    response: GoogleLLMResponse,
+    safetyHandler: GoogleAISafetyHandler
+  ): string {
+    return safeResponseTo(response, safetyHandler, responseToString);
+  }
 
-function safeResponseTo<RetType>(
-  response: GoogleLLMResponse,
-  safetyHandler: GoogleAISafetyHandler,
-  responseTo: (response: GoogleLLMResponse) => RetType
-): RetType {
-  try {
-    const safeResponse = safetyHandler.handle(response);
-    return responseTo(safeResponse);
-  } catch (xx) {
-    // eslint-disable-next-line no-instanceof/no-instanceof
-    if (xx instanceof GoogleAISafetyError) {
-      const ret = responseTo(xx.response);
-      xx.reply = ret;
+  function responseToGenerationInfo(response: GoogleLLMResponse) {
+    if (!Array.isArray(response.data)) {
+      return {};
     }
-    throw xx;
+    const data = response.data[0];
+    return {
+      usage_metadata: {
+        prompt_token_count: data.usageMetadata?.promptTokenCount,
+        candidates_token_count: data.usageMetadata?.candidatesTokenCount,
+        total_token_count: data.usageMetadata?.totalTokenCount,
+      },
+      safety_ratings: data.candidates[0]?.safetyRatings?.map((rating) => ({
+        category: rating.category,
+        probability: rating.probability,
+        probability_score: rating.probabilityScore,
+        severity: rating.severity,
+        severity_score: rating.severityScore,
+      })),
+      finish_reason: data.candidates[0]?.finishReason,
+    };
   }
-}
-
-export function safeResponseToString(
-  response: GoogleLLMResponse,
-  safetyHandler: GoogleAISafetyHandler
-): string {
-  return safeResponseTo(response, safetyHandler, responseToString);
-}
 
-export function responseToGenerationInfo(response: GoogleLLMResponse) {
-  if (!Array.isArray(response.data)) {
-    return {};
+  function responseToChatGeneration(
+    response: GoogleLLMResponse
+  ): ChatGenerationChunk {
+    return new ChatGenerationChunk({
+      text: responseToString(response),
+      message: partToMessageChunk(responseToParts(response)[0]),
+      generationInfo: responseToGenerationInfo(response),
+    });
   }
-  const data = response.data[0];
-  return {
-    usage_metadata: {
-      prompt_token_count: data.usageMetadata?.promptTokenCount,
-      candidates_token_count: data.usageMetadata?.candidatesTokenCount,
-      total_token_count: data.usageMetadata?.totalTokenCount,
-    },
-    safety_ratings: data.candidates[0]?.safetyRatings?.map((rating) => ({
-      category: rating.category,
-      probability: rating.probability,
-      probability_score: rating.probabilityScore,
-      severity: rating.severity,
-      severity_score: rating.severityScore,
-    })),
-    finish_reason: data.candidates[0]?.finishReason,
-  };
-}
-
-export function responseToGeneration(response: GoogleLLMResponse): Generation {
-  return {
-    text: responseToString(response),
-    generationInfo: responseToGenerationInfo(response),
-  };
-}
-
-export function safeResponseToGeneration(
-  response: GoogleLLMResponse,
-  safetyHandler: GoogleAISafetyHandler
-): Generation {
-  return safeResponseTo(response, safetyHandler, responseToGeneration);
-}
 
-export function responseToChatGeneration(
-  response: GoogleLLMResponse
-): ChatGenerationChunk {
-  return new ChatGenerationChunk({
-    text: responseToString(response),
-    message: partToMessageChunk(responseToParts(response)[0]),
-    generationInfo: responseToGenerationInfo(response),
-  });
-}
-
-export function safeResponseToChatGeneration(
-  response: GoogleLLMResponse,
-  safetyHandler: GoogleAISafetyHandler
-): ChatGenerationChunk {
-  return safeResponseTo(response, safetyHandler, responseToChatGeneration);
-}
+  function safeResponseToChatGeneration(
+    response: GoogleLLMResponse,
+    safetyHandler: GoogleAISafetyHandler
+  ): ChatGenerationChunk {
+    return safeResponseTo(response, safetyHandler, responseToChatGeneration);
+  }
 
-export function chunkToString(chunk: BaseMessageChunk): string {
-  if (chunk === null) {
-    return "";
-  } else if (typeof chunk.content === "string") {
-    return chunk.content;
-  } else if (chunk.content.length === 0) {
-    return "";
-  } else if (chunk.content[0].type === "text") {
-    return chunk.content[0].text;
-  } else {
-    throw new Error(`Unexpected chunk: ${chunk}`);
+  function chunkToString(chunk: BaseMessageChunk): string {
+    if (chunk === null) {
+      return "";
+    } else if (typeof chunk.content === "string") {
+      return chunk.content;
+    } else if (chunk.content.length === 0) {
+      return "";
+    } else if (chunk.content[0].type === "text") {
+      return chunk.content[0].text;
+    } else {
+      throw new Error(`Unexpected chunk: ${chunk}`);
+    }
   }
-}
 
-export function partToMessageChunk(part: GeminiPart): BaseMessageChunk {
-  const fields = partsToBaseMessageChunkFields([part]);
-  if (typeof fields.content === "string") {
+  function partToMessageChunk(part: GeminiPart): BaseMessageChunk {
+    const fields = partsToBaseMessageChunkFields([part]);
+    if (typeof fields.content === "string") {
+      return new AIMessageChunk(fields);
+    } else if (fields.content.every((item) => item.type === "text")) {
+      const newContent = fields.content
+        .map((item) => ("text" in item ? item.text : ""))
+        .join("");
+      return new AIMessageChunk({
+        ...fields,
+        content: newContent,
+      });
+    }
     return new AIMessageChunk(fields);
-  } else if (fields.content.every((item) => item.type === "text")) {
-    const newContent = fields.content
-      .map((item) => ("text" in item ? item.text : ""))
-      .join("");
-    return new AIMessageChunk({
-      ...fields,
-      content: newContent,
-    });
   }
-  return new AIMessageChunk(fields);
-}
 
-export function partToChatGeneration(part: GeminiPart): ChatGeneration {
-  const message = partToMessageChunk(part);
-  const text = partToText(part);
-  return new ChatGenerationChunk({
-    text,
-    message,
-  });
-}
+  function partToChatGeneration(part: GeminiPart): ChatGeneration {
+    const message = partToMessageChunk(part);
+    const text = partToText(part);
+    return new ChatGenerationChunk({
+      text,
+      message,
+    });
+  }
 
-export function responseToChatGenerations(
-  response: GoogleLLMResponse
-): ChatGeneration[] {
-  const parts = responseToParts(response);
-  let ret = parts.map((part) => partToChatGeneration(part));
-  if (ret.every((item) => typeof item.message.content === "string")) {
-    const combinedContent = ret.map((item) => item.message.content).join("");
-    const combinedText = ret.map((item) => item.text).join("");
-    const toolCallChunks: ToolCallChunk[] | undefined = ret[
-      ret.length - 1
-    ]?.message.additional_kwargs?.tool_calls?.map((toolCall, i) => ({
-      name: toolCall.function.name,
-      args: toolCall.function.arguments,
-      id: toolCall.id,
-      index: i,
-      type: "tool_call_chunk",
-    }));
-    let usageMetadata: UsageMetadata | undefined;
-    if ("usageMetadata" in response.data) {
-      usageMetadata = {
-        input_tokens: response.data.usageMetadata.promptTokenCount as number,
-        output_tokens: response.data.usageMetadata
-          .candidatesTokenCount as number,
-        total_tokens: response.data.usageMetadata.totalTokenCount as number,
-      };
-    }
-    ret = [
-      new ChatGenerationChunk({
-        message: new AIMessageChunk({
-          content: combinedContent,
-          additional_kwargs: ret[ret.length - 1]?.message.additional_kwargs,
-          tool_call_chunks: toolCallChunks,
-          usage_metadata: usageMetadata,
+  function responseToChatGenerations(
+    response: GoogleLLMResponse
+  ): ChatGeneration[] {
+    const parts = responseToParts(response);
+    let ret = parts.map((part) => partToChatGeneration(part));
+    if (ret.every((item) => typeof item.message.content === "string")) {
+      const combinedContent = ret.map((item) => item.message.content).join("");
+      const combinedText = ret.map((item) => item.text).join("");
+      const toolCallChunks: ToolCallChunk[] | undefined = ret[
+        ret.length - 1
+      ]?.message.additional_kwargs?.tool_calls?.map((toolCall, i) => ({
+        name: toolCall.function.name,
+        args: toolCall.function.arguments,
+        id: toolCall.id,
+        index: i,
+        type: "tool_call_chunk",
+      }));
+      let usageMetadata: UsageMetadata | undefined;
+      if ("usageMetadata" in response.data) {
+        usageMetadata = {
+          input_tokens: response.data.usageMetadata.promptTokenCount as number,
+          output_tokens: response.data.usageMetadata
+            .candidatesTokenCount as number,
+          total_tokens: response.data.usageMetadata.totalTokenCount as number,
+        };
+      }
+      ret = [
+        new ChatGenerationChunk({
+          message: new AIMessageChunk({
+            content: combinedContent,
+            additional_kwargs: ret[ret.length - 1]?.message.additional_kwargs,
+            tool_call_chunks: toolCallChunks,
+            usage_metadata: usageMetadata,
+          }),
+          text: combinedText,
+          generationInfo: ret[ret.length - 1].generationInfo,
         }),
-        text: combinedText,
-        generationInfo: ret[ret.length - 1].generationInfo,
-      }),
-    ];
+      ];
+    }
+    return ret;
   }
-  return ret;
-}
-
-export function responseToBaseMessageFields(
-  response: GoogleLLMResponse
-): BaseMessageFields {
-  const parts = responseToParts(response);
-  return partsToBaseMessageChunkFields(parts);
-}
 
-export function partsToBaseMessageChunkFields(
-  parts: GeminiPart[]
-): AIMessageChunkFields {
-  const fields: AIMessageChunkFields = {
-    content: partsToMessageContent(parts),
-    tool_call_chunks: [],
-    tool_calls: [],
-    invalid_tool_calls: [],
-  };
+  function responseToBaseMessageFields(
+    response: GoogleLLMResponse
+  ): BaseMessageFields {
+    const parts = responseToParts(response);
+    return partsToBaseMessageChunkFields(parts);
+  }
 
-  const rawTools = partsToToolsRaw(parts);
-  if (rawTools.length > 0) {
-    const tools = toolsRawToTools(rawTools);
-    for (const tool of tools) {
-      fields.tool_call_chunks?.push({
-        name: tool.function.name,
-        args: tool.function.arguments,
-        id: tool.id,
-        type: "tool_call_chunk",
-      });
+  function partsToBaseMessageChunkFields(
+    parts: GeminiPart[]
+  ): AIMessageChunkFields {
+    const fields: AIMessageChunkFields = {
+      content: partsToMessageContent(parts),
+      tool_call_chunks: [],
+      tool_calls: [],
+      invalid_tool_calls: [],
+    };
 
-      try {
-        fields.tool_calls?.push({
-          name: tool.function.name,
-          args: JSON.parse(tool.function.arguments),
-          id: tool.id,
-          type: "tool_call",
-        });
-        // eslint-disable-next-line @typescript-eslint/no-explicit-any
-      } catch (e: any) {
-        fields.invalid_tool_calls?.push({
+    const rawTools = partsToToolsRaw(parts);
+    if (rawTools.length > 0) {
+      const tools = toolsRawToTools(rawTools);
+      for (const tool of tools) {
+        fields.tool_call_chunks?.push({
           name: tool.function.name,
           args: tool.function.arguments,
           id: tool.id,
-          error: e.message,
-          type: "invalid_tool_call",
+          type: "tool_call_chunk",
         });
+
+        try {
+          fields.tool_calls?.push({
+            name: tool.function.name,
+            args: JSON.parse(tool.function.arguments),
+            id: tool.id,
+          });
+          // eslint-disable-next-line @typescript-eslint/no-explicit-any
+        } catch (e: any) {
+          fields.invalid_tool_calls?.push({
+            name: tool.function.name,
+            args: tool.function.arguments,
+            id: tool.id,
+            error: e.message,
+            type: "invalid_tool_call",
+          });
+        }
       }
+      fields.additional_kwargs = {
+        tool_calls: tools,
+      };
     }
-    fields.additional_kwargs = {
-      tool_calls: tools,
-    };
+    return fields;
   }
-  return fields;
-}
 
-export function responseToBaseMessage(
-  response: GoogleLLMResponse
-): BaseMessage {
-  const fields = responseToBaseMessageFields(response);
-  return new AIMessage(fields);
-}
+  function responseToBaseMessage(response: GoogleLLMResponse): BaseMessage {
+    const fields = responseToBaseMessageFields(response);
+    return new AIMessage(fields);
+  }
 
-export function safeResponseToBaseMessage(
-  response: GoogleLLMResponse,
-  safetyHandler: GoogleAISafetyHandler
-): BaseMessage {
-  return safeResponseTo(response, safetyHandler, responseToBaseMessage);
-}
+  function safeResponseToBaseMessage(
+    response: GoogleLLMResponse,
+    safetyHandler: GoogleAISafetyHandler
+  ): BaseMessage {
+    return safeResponseTo(response, safetyHandler, responseToBaseMessage);
+  }
+
+  function responseToChatResult(response: GoogleLLMResponse): ChatResult {
+    const generations = responseToChatGenerations(response);
+    return {
+      generations,
+      llmOutput: responseToGenerationInfo(response),
+    };
+  }
+
+  function safeResponseToChatResult(
+    response: GoogleLLMResponse,
+    safetyHandler: GoogleAISafetyHandler
+  ): ChatResult {
+    return safeResponseTo(response, safetyHandler, responseToChatResult);
+  }
 
-export function responseToChatResult(response: GoogleLLMResponse): ChatResult {
-  const generations = responseToChatGenerations(response);
   return {
-    generations,
-    llmOutput: responseToGenerationInfo(response),
+    messageContentToParts,
+    baseMessageToContent,
+    safeResponseToString,
+    safeResponseToChatGeneration,
+    chunkToString,
+    safeResponseToBaseMessage,
+    safeResponseToChatResult,
   };
 }
 
-export function safeResponseToChatResult(
-  response: GoogleLLMResponse,
-  safetyHandler: GoogleAISafetyHandler
-): ChatResult {
-  return safeResponseTo(response, safetyHandler, responseToChatResult);
-}
-
 export function validateGeminiParams(params: GoogleAIModelParams): void {
   if (params.maxOutputTokens && params.maxOutputTokens < 0) {
     throw new Error("`maxOutputTokens` must be a positive integer");
diff --git a/libs/langchain-google-gauth/src/index.ts b/libs/langchain-google-gauth/src/index.ts
index 7f420a4ed6d0..4cd6bd0176ab 100644
--- a/libs/langchain-google-gauth/src/index.ts
+++ b/libs/langchain-google-gauth/src/index.ts
@@ -1,3 +1,5 @@
 export * from "./chat_models.js";
 export * from "./llms.js";
 export * from "./embeddings.js";
+
+export * from "./media.js";
diff --git a/libs/langchain-google-gauth/src/media.ts b/libs/langchain-google-gauth/src/media.ts
new file mode 100644
index 000000000000..b44aadd0f858
--- /dev/null
+++ b/libs/langchain-google-gauth/src/media.ts
@@ -0,0 +1,31 @@
+import { GoogleAbstractedClient } from "@langchain/google-common";
+import {
+  BlobStoreGoogleCloudStorageBase,
+  BlobStoreGoogleCloudStorageBaseParams,
+  BlobStoreAIStudioFileBase,
+  BlobStoreAIStudioFileBaseParams,
+} from "@langchain/google-common/experimental/media";
+import { GoogleAuthOptions } from "google-auth-library";
+import { GAuthClient } from "./auth.js";
+
+export interface BlobStoreGoogleCloudStorageParams
+  extends BlobStoreGoogleCloudStorageBaseParams<GoogleAuthOptions> {}
+
+export class BlobStoreGoogleCloudStorage extends BlobStoreGoogleCloudStorageBase<GoogleAuthOptions> {
+  buildClient(
+    fields?: BlobStoreGoogleCloudStorageParams
+  ): GoogleAbstractedClient {
+    return new GAuthClient(fields);
+  }
+}
+
+export interface BlobStoreAIStudioFileParams
+  extends BlobStoreAIStudioFileBaseParams<GoogleAuthOptions> {}
+
+export class BlobStoreAIStudioFile extends BlobStoreAIStudioFileBase<GoogleAuthOptions> {
+  buildAbstractedClient(
+    fields?: BlobStoreAIStudioFileParams
+  ): GoogleAbstractedClient {
+    return new GAuthClient(fields);
+  }
+}
diff --git a/libs/langchain-google-gauth/src/tests/chat_models.int.test.ts b/libs/langchain-google-gauth/src/tests/chat_models.int.test.ts
new file mode 100644
index 000000000000..5baa6aaf1973
--- /dev/null
+++ b/libs/langchain-google-gauth/src/tests/chat_models.int.test.ts
@@ -0,0 +1,315 @@
+import { test } from "@jest/globals";
+import { BaseLanguageModelInput } from "@langchain/core/language_models/base";
+import { ChatPromptValue } from "@langchain/core/prompt_values";
+import {
+  AIMessage,
+  AIMessageChunk,
+  BaseMessage,
+  BaseMessageChunk,
+  BaseMessageLike,
+  HumanMessage,
+  HumanMessageChunk,
+  MessageContentComplex,
+  SystemMessage,
+  ToolMessage,
+} from "@langchain/core/messages";
+import {
+  BackedBlobStore,
+  MediaBlob,
+  MediaManager,
+  ReadThroughBlobStore,
+  SimpleWebBlobStore,
+} from "@langchain/google-common/experimental/utils/media_core";
+import { GoogleCloudStorageUri } from "@langchain/google-common/experimental/media";
+import { InMemoryStore } from "@langchain/core/stores";
+import { GeminiTool } from "../types.js";
+import { ChatGoogle } from "../chat_models.js";
+import { BlobStoreGoogleCloudStorage } from "../media.js";
+
+describe("GAuth Chat", () => {
+  test("invoke", async () => {
+    const model = new ChatGoogle();
+    try {
+      const res = await model.invoke("What is 1 + 1?");
+      expect(res).toBeDefined();
+      expect(res._getType()).toEqual("ai");
+
+      const aiMessage = res as AIMessageChunk;
+      expect(aiMessage.content).toBeDefined();
+
+      expect(typeof aiMessage.content).toBe("string");
+      const text = aiMessage.content as string;
+      expect(text).toMatch(/(1 + 1 (equals|is|=) )?2.? ?/);
+
+      /*
+      expect(aiMessage.content.length).toBeGreaterThan(0);
+      expect(aiMessage.content[0]).toBeDefined();
+      const content = aiMessage.content[0] as MessageContentComplex;
+      expect(content).toHaveProperty("type");
+      expect(content.type).toEqual("text");
+
+      const textContent = content as MessageContentText;
+      expect(textContent.text).toBeDefined();
+      expect(textContent.text).toEqual("2");
+      */
+    } catch (e) {
+      console.error(e);
+      throw e;
+    }
+  });
+
+  test("generate", async () => {
+    const model = new ChatGoogle();
+    try {
+      const messages: BaseMessage[] = [
+        new SystemMessage(
+          "You will reply to all requests to flip a coin with either H, indicating heads, or T, indicating tails."
+        ),
+        new HumanMessage("Flip it"),
+        new AIMessage("T"),
+        new HumanMessage("Flip the coin again"),
+      ];
+      const res = await model.predictMessages(messages);
+      expect(res).toBeDefined();
+      expect(res._getType()).toEqual("ai");
+
+      const aiMessage = res as AIMessageChunk;
+      expect(aiMessage.content).toBeDefined();
+
+      expect(typeof aiMessage.content).toBe("string");
+      const text = aiMessage.content as string;
+      expect(["H", "T"]).toContainEqual(text);
+
+      /*
+      expect(aiMessage.content.length).toBeGreaterThan(0);
+      expect(aiMessage.content[0]).toBeDefined();
+
+      const content = aiMessage.content[0] as MessageContentComplex;
+      expect(content).toHaveProperty("type");
+      expect(content.type).toEqual("text");
+
+      const textContent = content as MessageContentText;
+      expect(textContent.text).toBeDefined();
+      expect(["H", "T"]).toContainEqual(textContent.text);
+      */
+    } catch (e) {
+      console.error(e);
+      throw e;
+    }
+  });
+
+  test("stream", async () => {
+    const model = new ChatGoogle();
+    try {
+      const input: BaseLanguageModelInput = new ChatPromptValue([
+        new SystemMessage(
+          "You will reply to all requests to flip a coin with either H, indicating heads, or T, indicating tails."
+        ),
+        new HumanMessage("Flip it"),
+        new AIMessage("T"),
+        new HumanMessage("Flip the coin again"),
+      ]);
+      const res = await model.stream(input);
+      const resArray: BaseMessageChunk[] = [];
+      for await (const chunk of res) {
+        resArray.push(chunk);
+      }
+      expect(resArray).toBeDefined();
+      expect(resArray.length).toBeGreaterThanOrEqual(1);
+
+      const lastChunk = resArray[resArray.length - 1];
+      expect(lastChunk).toBeDefined();
+      expect(lastChunk._getType()).toEqual("ai");
+      const aiChunk = lastChunk as AIMessageChunk;
+      console.log(aiChunk);
+
+      console.log(JSON.stringify(resArray, null, 2));
+    } catch (e) {
+      console.error(e);
+      throw e;
+    }
+  });
+
+  test("function", async () => {
+    const tools: GeminiTool[] = [
+      {
+        functionDeclarations: [
+          {
+            name: "test",
+            description:
+              "Run a test with a specific name and get if it passed or failed",
+            parameters: {
+              type: "object",
+              properties: {
+                testName: {
+                  type: "string",
+                  description: "The name of the test that should be run.",
+                },
+              },
+              required: ["testName"],
+            },
+          },
+        ],
+      },
+    ];
+    const model = new ChatGoogle().bind({ tools });
+    const result = await model.invoke("Run a test on the cobalt project");
+    expect(result).toHaveProperty("content");
+    expect(result.content).toBe("");
+    const args = result?.lc_kwargs?.additional_kwargs;
+    expect(args).toBeDefined();
+    expect(args).toHaveProperty("tool_calls");
+    expect(Array.isArray(args.tool_calls)).toBeTruthy();
+    expect(args.tool_calls).toHaveLength(1);
+    const call = args.tool_calls[0];
+    expect(call).toHaveProperty("type");
+    expect(call.type).toBe("function");
+    expect(call).toHaveProperty("function");
+    const func = call.function;
+    expect(func).toBeDefined();
+    expect(func).toHaveProperty("name");
+    expect(func.name).toBe("test");
+    expect(func).toHaveProperty("arguments");
+    expect(typeof func.arguments).toBe("string");
+    expect(func.arguments.replaceAll("\n", "")).toBe('{"testName":"cobalt"}');
+  });
+
+  test("function reply", async () => {
+    const tools: GeminiTool[] = [
+      {
+        functionDeclarations: [
+          {
+            name: "test",
+            description:
+              "Run a test with a specific name and get if it passed or failed",
+            parameters: {
+              type: "object",
+              properties: {
+                testName: {
+                  type: "string",
+                  description: "The name of the test that should be run.",
+                },
+              },
+              required: ["testName"],
+            },
+          },
+        ],
+      },
+    ];
+    const model = new ChatGoogle().bind({ tools });
+    const toolResult = {
+      testPassed: true,
+    };
+    const messages: BaseMessageLike[] = [
+      new HumanMessage("Run a test on the cobalt project."),
+      new AIMessage("", {
+        tool_calls: [
+          {
+            id: "test",
+            type: "function",
+            function: {
+              name: "test",
+              arguments: '{"testName":"cobalt"}',
+            },
+          },
+        ],
+      }),
+      new ToolMessage(JSON.stringify(toolResult), "test"),
+    ];
+    const res = await model.stream(messages);
+    const resArray: BaseMessageChunk[] = [];
+    for await (const chunk of res) {
+      resArray.push(chunk);
+    }
+    console.log(JSON.stringify(resArray, null, 2));
+  });
+
+  test("withStructuredOutput", async () => {
+    const tool = {
+      name: "get_weather",
+      description:
+        "Get the weather of a specific location and return the temperature in Celsius.",
+      parameters: {
+        type: "object",
+        properties: {
+          location: {
+            type: "string",
+            description: "The name of city to get the weather for.",
+          },
+        },
+        required: ["location"],
+      },
+    };
+    const model = new ChatGoogle().withStructuredOutput(tool);
+    const result = await model.invoke("What is the weather in Paris?");
+    expect(result).toHaveProperty("location");
+  });
+
+  test("media - fileData", async () => {
+    class MemStore extends InMemoryStore<MediaBlob> {
+      get length() {
+        return Object.keys(this.store).length;
+      }
+    }
+    const aliasMemory = new MemStore();
+    const aliasStore = new BackedBlobStore({
+      backingStore: aliasMemory,
+      defaultFetchOptions: {
+        actionIfBlobMissing: undefined,
+      },
+    });
+    const canonicalStore = new BlobStoreGoogleCloudStorage({
+      uriPrefix: new GoogleCloudStorageUri("gs://test-langchainjs/mediatest/"),
+      defaultStoreOptions: {
+        actionIfInvalid: "prefixPath",
+      },
+    });
+    const blobStore = new ReadThroughBlobStore({
+      baseStore: aliasStore,
+      backingStore: canonicalStore,
+    });
+    const resolver = new SimpleWebBlobStore();
+    const mediaManager = new MediaManager({
+      store: blobStore,
+      resolvers: [resolver],
+    });
+    const model = new ChatGoogle({
+      modelName: "gemini-1.5-flash",
+      mediaManager,
+    });
+
+    const message: MessageContentComplex[] = [
+      {
+        type: "text",
+        text: "What is in this image?",
+      },
+      {
+        type: "media",
+        fileUri: "https://js.langchain.com/v0.2/img/brand/wordmark.png",
+      },
+    ];
+
+    const messages: BaseMessage[] = [
+      new HumanMessageChunk({ content: message }),
+    ];
+
+    try {
+      const res = await model.invoke(messages);
+
+      console.log(res);
+
+      expect(res).toBeDefined();
+      expect(res._getType()).toEqual("ai");
+
+      const aiMessage = res as AIMessageChunk;
+      expect(aiMessage.content).toBeDefined();
+
+      expect(typeof aiMessage.content).toBe("string");
+      const text = aiMessage.content as string;
+      expect(text).toMatch(/LangChain/);
+    } catch (e) {
+      console.error(e);
+      throw e;
+    }
+  });
+});
diff --git a/libs/langchain-google-gauth/src/tests/data/blue-square.png b/libs/langchain-google-gauth/src/tests/data/blue-square.png
new file mode 100644
index 0000000000000000000000000000000000000000..c64355dc335b834aaa2a97d25ed2c02195cb8400
GIT binary patch
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zr>`sf3npoC79rQ=8##bNvY8<fCC>S|xv6<2KrRD=b5UwyNotBhd1gt5g1e`0K#E=}
zJ5XHB)5S4F;&Sqz|Nrfo^9~$o5Z~aSvA#C`g330_j{?_hCtT_g`6<mHag~!l|I33P
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diff --git a/libs/langchain-google-gauth/src/tests/media.int.test.ts b/libs/langchain-google-gauth/src/tests/media.int.test.ts
new file mode 100644
index 000000000000..665dd4a75761
--- /dev/null
+++ b/libs/langchain-google-gauth/src/tests/media.int.test.ts
@@ -0,0 +1,137 @@
+import fs from "fs/promises";
+import { test } from "@jest/globals";
+import { GoogleCloudStorageUri } from "@langchain/google-common/experimental/media";
+import { MediaBlob } from "@langchain/google-common/experimental/utils/media_core";
+import {
+  BlobStoreGoogleCloudStorage,
+  BlobStoreGoogleCloudStorageParams,
+} from "../media.js";
+
+describe("GAuth GCS store", () => {
+  test("save text no-metadata", async () => {
+    const uriPrefix = new GoogleCloudStorageUri("gs://test-langchainjs/");
+    const uri = `gs://test-langchainjs/text/test-${Date.now()}-nm`;
+    const content = "This is a test";
+    const blob = await MediaBlob.fromBlob(
+      new Blob([content], { type: "text/plain" }),
+      {
+        path: uri,
+      }
+    );
+    const config: BlobStoreGoogleCloudStorageParams = {
+      uriPrefix,
+    };
+    const blobStore = new BlobStoreGoogleCloudStorage(config);
+    const storedBlob = await blobStore.store(blob);
+    // console.log(storedBlob);
+    expect(storedBlob?.path).toEqual(uri);
+    expect(await storedBlob?.asString()).toEqual(content);
+    expect(storedBlob?.mimetype).toEqual("text/plain");
+    expect(storedBlob?.metadata).not.toHaveProperty("metadata");
+    expect(storedBlob?.size).toEqual(content.length);
+    expect(storedBlob?.metadata?.kind).toEqual("storage#object");
+  });
+
+  test("save text with-metadata", async () => {
+    const uriPrefix = new GoogleCloudStorageUri("gs://test-langchainjs/");
+    const uri = `gs://test-langchainjs/text/test-${Date.now()}-wm`;
+    const content = "This is a test";
+    const blob = await MediaBlob.fromBlob(
+      new Blob([content], { type: "text/plain" }),
+      {
+        path: uri,
+        metadata: {
+          alpha: "one",
+          bravo: "two",
+        },
+      }
+    );
+    const config: BlobStoreGoogleCloudStorageParams = {
+      uriPrefix,
+    };
+    const blobStore = new BlobStoreGoogleCloudStorage(config);
+    const storedBlob = await blobStore.store(blob);
+    // console.log(storedBlob);
+    expect(storedBlob?.path).toEqual(uri);
+    expect(await storedBlob?.asString()).toEqual(content);
+    expect(storedBlob?.mimetype).toEqual("text/plain");
+    expect(storedBlob?.metadata).toHaveProperty("metadata");
+    expect(storedBlob?.metadata?.metadata?.alpha).toEqual("one");
+    expect(storedBlob?.metadata?.metadata?.bravo).toEqual("two");
+    expect(storedBlob?.size).toEqual(content.length);
+    expect(storedBlob?.metadata?.kind).toEqual("storage#object");
+  });
+
+  test("save image no-metadata", async () => {
+    const filename = `src/tests/data/blue-square.png`;
+    const dataBuffer = await fs.readFile(filename);
+    const data = new Blob([dataBuffer], { type: "image/png" });
+
+    const uriPrefix = new GoogleCloudStorageUri("gs://test-langchainjs/");
+    const uri = `gs://test-langchainjs/image/test-${Date.now()}-nm`;
+    const blob = await MediaBlob.fromBlob(data, {
+      path: uri,
+    });
+    const config: BlobStoreGoogleCloudStorageParams = {
+      uriPrefix,
+    };
+    const blobStore = new BlobStoreGoogleCloudStorage(config);
+    const storedBlob = await blobStore.store(blob);
+    // console.log(storedBlob);
+    expect(storedBlob?.path).toEqual(uri);
+    expect(storedBlob?.size).toEqual(176);
+    expect(storedBlob?.mimetype).toEqual("image/png");
+    expect(storedBlob?.metadata?.kind).toEqual("storage#object");
+  });
+
+  test("get text no-metadata", async () => {
+    const uriPrefix = new GoogleCloudStorageUri("gs://test-langchainjs/");
+    const uri: string = "gs://test-langchainjs/text/test-nm";
+    const config: BlobStoreGoogleCloudStorageParams = {
+      uriPrefix,
+    };
+    const blobStore = new BlobStoreGoogleCloudStorage(config);
+    const blob = await blobStore.fetch(uri);
+    // console.log(blob);
+    expect(blob?.path).toEqual(uri);
+    expect(await blob?.asString()).toEqual("This is a test");
+    expect(blob?.mimetype).toEqual("text/plain");
+    expect(blob?.metadata).not.toHaveProperty("metadata");
+    expect(blob?.size).toEqual(14);
+    expect(blob?.metadata?.kind).toEqual("storage#object");
+  });
+
+  test("get text with-metadata", async () => {
+    const uriPrefix = new GoogleCloudStorageUri("gs://test-langchainjs/");
+    const uri: string = "gs://test-langchainjs/text/test-wm";
+    const config: BlobStoreGoogleCloudStorageParams = {
+      uriPrefix,
+    };
+    const blobStore = new BlobStoreGoogleCloudStorage(config);
+    const blob = await blobStore.fetch(uri);
+    // console.log(blob);
+    expect(blob?.path).toEqual(uri);
+    expect(await blob?.asString()).toEqual("This is a test");
+    expect(blob?.mimetype).toEqual("text/plain");
+    expect(blob?.metadata).toHaveProperty("metadata");
+    expect(blob?.metadata?.metadata?.alpha).toEqual("one");
+    expect(blob?.metadata?.metadata?.bravo).toEqual("two");
+    expect(blob?.size).toEqual(14);
+    expect(blob?.metadata?.kind).toEqual("storage#object");
+  });
+
+  test("get image no-metadata", async () => {
+    const uriPrefix = new GoogleCloudStorageUri("gs://test-langchainjs/");
+    const uri: string = "gs://test-langchainjs/image/test-nm";
+    const config: BlobStoreGoogleCloudStorageParams = {
+      uriPrefix,
+    };
+    const blobStore = new BlobStoreGoogleCloudStorage(config);
+    const blob = await blobStore.fetch(uri);
+    // console.log(storedBlob);
+    expect(blob?.path).toEqual(uri);
+    expect(blob?.size).toEqual(176);
+    expect(blob?.mimetype).toEqual("image/png");
+    expect(blob?.metadata?.kind).toEqual("storage#object");
+  });
+});
diff --git a/libs/langchain-google-vertexai/src/tests/chat_models.int.test.ts b/libs/langchain-google-vertexai/src/tests/chat_models.int.test.ts
index a5b9b1001218..8eeed770fee2 100644
--- a/libs/langchain-google-vertexai/src/tests/chat_models.int.test.ts
+++ b/libs/langchain-google-vertexai/src/tests/chat_models.int.test.ts
@@ -9,16 +9,31 @@ import {
   BaseMessageChunk,
   BaseMessageLike,
   HumanMessage,
+  HumanMessageChunk,
+  MessageContentComplex,
   SystemMessage,
   ToolMessage,
 } from "@langchain/core/messages";
+import {
+  BlobStoreGoogleCloudStorage,
+  ChatGoogle,
+} from "@langchain/google-gauth";
 import { tool } from "@langchain/core/tools";
 import { z } from "zod";
 import { concat } from "@langchain/core/utils/stream";
+import {
+  BackedBlobStore,
+  MediaBlob,
+  MediaManager,
+  ReadThroughBlobStore,
+  SimpleWebBlobStore,
+} from "@langchain/google-common/experimental/utils/media_core";
+import { GoogleCloudStorageUri } from "@langchain/google-common/experimental/media";
 import {
   ChatPromptTemplate,
   MessagesPlaceholder,
 } from "@langchain/core/prompts";
+import { InMemoryStore } from "@langchain/core/stores";
 import { GeminiTool } from "../types.js";
 import { ChatVertexAI } from "../chat_models.js";
 
@@ -196,6 +211,74 @@ describe("GAuth Chat", () => {
     const result = await model.invoke("What is the weather in Paris?");
     expect(result).toHaveProperty("location");
   });
+
+  test("media - fileData", async () => {
+    class MemStore extends InMemoryStore<MediaBlob> {
+      get length() {
+        return Object.keys(this.store).length;
+      }
+    }
+    const aliasMemory = new MemStore();
+    const aliasStore = new BackedBlobStore({
+      backingStore: aliasMemory,
+      defaultFetchOptions: {
+        actionIfBlobMissing: undefined,
+      },
+    });
+    const canonicalStore = new BlobStoreGoogleCloudStorage({
+      uriPrefix: new GoogleCloudStorageUri("gs://test-langchainjs/mediatest/"),
+      defaultStoreOptions: {
+        actionIfInvalid: "prefixPath",
+      },
+    });
+    const blobStore = new ReadThroughBlobStore({
+      baseStore: aliasStore,
+      backingStore: canonicalStore,
+    });
+    const resolver = new SimpleWebBlobStore();
+    const mediaManager = new MediaManager({
+      store: blobStore,
+      resolvers: [resolver],
+    });
+    const model = new ChatGoogle({
+      modelName: "gemini-1.5-flash",
+      mediaManager,
+    });
+
+    const message: MessageContentComplex[] = [
+      {
+        type: "text",
+        text: "What is in this image?",
+      },
+      {
+        type: "media",
+        fileUri: "https://js.langchain.com/v0.2/img/brand/wordmark.png",
+      },
+    ];
+
+    const messages: BaseMessage[] = [
+      new HumanMessageChunk({ content: message }),
+    ];
+
+    try {
+      const res = await model.invoke(messages);
+
+      console.log(res);
+
+      expect(res).toBeDefined();
+      expect(res._getType()).toEqual("ai");
+
+      const aiMessage = res as AIMessageChunk;
+      expect(aiMessage.content).toBeDefined();
+
+      expect(typeof aiMessage.content).toBe("string");
+      const text = aiMessage.content as string;
+      expect(text).toMatch(/LangChain/);
+    } catch (e) {
+      console.error(e);
+      throw e;
+    }
+  });
 });
 
 test("Stream token count usage_metadata", async () => {
diff --git a/libs/langchain-google-webauth/package.json b/libs/langchain-google-webauth/package.json
index 320f731a088b..a6830b7eac5d 100644
--- a/libs/langchain-google-webauth/package.json
+++ b/libs/langchain-google-webauth/package.json
@@ -58,7 +58,8 @@
     "release-it": "^17.6.0",
     "rollup": "^4.5.2",
     "ts-jest": "^29.1.0",
-    "typescript": "<5.2.0"
+    "typescript": "<5.2.0",
+    "zod": "^3.23.8"
   },
   "publishConfig": {
     "access": "public"
diff --git a/libs/langchain-google-webauth/src/media.ts b/libs/langchain-google-webauth/src/media.ts
new file mode 100644
index 000000000000..4b631b519d31
--- /dev/null
+++ b/libs/langchain-google-webauth/src/media.ts
@@ -0,0 +1,33 @@
+import {
+  GoogleAbstractedClient,
+  GoogleBaseLLMInput,
+} from "@langchain/google-common";
+import {
+  BlobStoreAIStudioFileBase,
+  BlobStoreAIStudioFileBaseParams,
+  BlobStoreGoogleCloudStorageBase,
+  BlobStoreGoogleCloudStorageBaseParams,
+} from "@langchain/google-common/experimental/media";
+import { WebGoogleAuth, WebGoogleAuthOptions } from "./auth.js";
+
+export interface BlobStoreGoogleCloudStorageParams
+  extends BlobStoreGoogleCloudStorageBaseParams<WebGoogleAuthOptions> {}
+
+export class BlobStoreGoogleCloudStorage extends BlobStoreGoogleCloudStorageBase<WebGoogleAuthOptions> {
+  buildClient(
+    fields?: GoogleBaseLLMInput<WebGoogleAuthOptions>
+  ): GoogleAbstractedClient {
+    return new WebGoogleAuth(fields);
+  }
+}
+
+export interface BlobStoreAIStudioFileParams
+  extends BlobStoreAIStudioFileBaseParams<WebGoogleAuthOptions> {}
+
+export class BlobStoreAIStudioFile extends BlobStoreAIStudioFileBase<WebGoogleAuthOptions> {
+  buildAbstractedClient(
+    fields?: BlobStoreAIStudioFileParams
+  ): GoogleAbstractedClient {
+    return new WebGoogleAuth(fields);
+  }
+}
diff --git a/libs/langchain-google-webauth/src/tests/chat_models.int.test.ts b/libs/langchain-google-webauth/src/tests/chat_models.int.test.ts
new file mode 100644
index 000000000000..60fcba032d18
--- /dev/null
+++ b/libs/langchain-google-webauth/src/tests/chat_models.int.test.ts
@@ -0,0 +1,247 @@
+/* eslint-disable import/no-extraneous-dependencies */
+import { StructuredTool } from "@langchain/core/tools";
+import { z } from "zod";
+import { test } from "@jest/globals";
+import {
+  AIMessage,
+  AIMessageChunk,
+  BaseMessage,
+  BaseMessageChunk,
+  HumanMessage,
+  HumanMessageChunk,
+  MessageContentComplex,
+  SystemMessage,
+  ToolMessage,
+} from "@langchain/core/messages";
+import { BaseLanguageModelInput } from "@langchain/core/language_models/base";
+import { ChatPromptValue } from "@langchain/core/prompt_values";
+import {
+  MediaManager,
+  SimpleWebBlobStore,
+} from "@langchain/google-common/experimental/utils/media_core";
+import { ChatGoogle } from "../chat_models.js";
+import { BlobStoreAIStudioFile } from "../media.js";
+
+class WeatherTool extends StructuredTool {
+  schema = z.object({
+    locations: z
+      .array(z.object({ name: z.string() }))
+      .describe("The name of cities to get the weather for."),
+  });
+
+  description =
+    "Get the weather of a specific location and return the temperature in Celsius.";
+
+  name = "get_weather";
+
+  async _call(input: z.infer<typeof this.schema>) {
+    console.log(`WeatherTool called with input: ${input}`);
+    return `The weather in ${JSON.stringify(input.locations)} is 25°C`;
+  }
+}
+
+describe("Google APIKey Chat", () => {
+  test("invoke", async () => {
+    const model = new ChatGoogle();
+    try {
+      const res = await model.invoke("What is 1 + 1?");
+      console.log(res);
+      expect(res).toBeDefined();
+      expect(res._getType()).toEqual("ai");
+
+      const aiMessage = res as AIMessageChunk;
+      console.log(aiMessage);
+      expect(aiMessage.content).toBeDefined();
+      expect(aiMessage.content.length).toBeGreaterThan(0);
+      expect(aiMessage.content[0]).toBeDefined();
+
+      // const content = aiMessage.content[0] as MessageContentComplex;
+      // expect(content).toHaveProperty("type");
+      // expect(content.type).toEqual("text");
+
+      // const textContent = content as MessageContentText;
+      // expect(textContent.text).toBeDefined();
+      // expect(textContent.text).toEqual("2");
+    } catch (e) {
+      console.error(e);
+      throw e;
+    }
+  });
+
+  test("generate", async () => {
+    const model = new ChatGoogle();
+    try {
+      const messages: BaseMessage[] = [
+        new SystemMessage(
+          "You will reply to all requests to flip a coin with either H, indicating heads, or T, indicating tails."
+        ),
+        new HumanMessage("Flip it"),
+        new AIMessage("T"),
+        new HumanMessage("Flip the coin again"),
+      ];
+      const res = await model.predictMessages(messages);
+      expect(res).toBeDefined();
+      expect(res._getType()).toEqual("ai");
+
+      const aiMessage = res as AIMessageChunk;
+      expect(aiMessage.content).toBeDefined();
+      expect(aiMessage.content.length).toBeGreaterThan(0);
+      expect(aiMessage.content[0]).toBeDefined();
+      console.log(aiMessage);
+
+      // const content = aiMessage.content[0] as MessageContentComplex;
+      // expect(content).toHaveProperty("type");
+      // expect(content.type).toEqual("text");
+
+      // const textContent = content as MessageContentText;
+      // expect(textContent.text).toBeDefined();
+      // expect(["H", "T"]).toContainEqual(textContent.text);
+    } catch (e) {
+      console.error(e);
+      throw e;
+    }
+  });
+
+  test("stream", async () => {
+    const model = new ChatGoogle();
+    try {
+      const input: BaseLanguageModelInput = new ChatPromptValue([
+        new SystemMessage(
+          "You will reply to all requests to flip a coin with either H, indicating heads, or T, indicating tails."
+        ),
+        new HumanMessage("Flip it"),
+        new AIMessage("T"),
+        new HumanMessage("Flip the coin again"),
+      ]);
+      const res = await model.stream(input);
+      const resArray: BaseMessageChunk[] = [];
+      for await (const chunk of res) {
+        resArray.push(chunk);
+      }
+      expect(resArray).toBeDefined();
+      expect(resArray.length).toBeGreaterThanOrEqual(1);
+
+      const lastChunk = resArray[resArray.length - 1];
+      expect(lastChunk).toBeDefined();
+      expect(lastChunk._getType()).toEqual("ai");
+      const aiChunk = lastChunk as AIMessageChunk;
+      console.log(aiChunk);
+
+      console.log(JSON.stringify(resArray, null, 2));
+    } catch (e) {
+      console.error(e);
+      throw e;
+    }
+  });
+
+  test.skip("Tool call", async () => {
+    const chat = new ChatGoogle().bindTools([new WeatherTool()]);
+    const res = await chat.invoke("What is the weather in SF and LA");
+    console.log(res);
+    expect(res.tool_calls?.length).toEqual(1);
+    expect(res.tool_calls?.[0].args).toEqual(
+      JSON.parse(res.additional_kwargs.tool_calls?.[0].function.arguments ?? "")
+    );
+  });
+
+  test.skip("Few shotting with tool calls", async () => {
+    const chat = new ChatGoogle().bindTools([new WeatherTool()]);
+    const res = await chat.invoke("What is the weather in SF");
+    console.log(res);
+    const res2 = await chat.invoke([
+      new HumanMessage("What is the weather in SF?"),
+      new AIMessage({
+        content: "",
+        tool_calls: [
+          {
+            id: "12345",
+            name: "get_current_weather",
+            args: {
+              location: "SF",
+            },
+          },
+        ],
+      }),
+      new ToolMessage({
+        tool_call_id: "12345",
+        content: "It is currently 24 degrees with hail in SF.",
+      }),
+      new AIMessage("It is currently 24 degrees in SF with hail in SF."),
+      new HumanMessage("What did you say the weather was?"),
+    ]);
+    console.log(res2);
+    expect(res2.content).toContain("24");
+  });
+
+  test.skip("withStructuredOutput", async () => {
+    const tool = {
+      name: "get_weather",
+      description:
+        "Get the weather of a specific location and return the temperature in Celsius.",
+      parameters: {
+        type: "object",
+        properties: {
+          location: {
+            type: "string",
+            description: "The name of city to get the weather for.",
+          },
+        },
+        required: ["location"],
+      },
+    };
+    const model = new ChatGoogle().withStructuredOutput(tool);
+    const result = await model.invoke("What is the weather in Paris?");
+    expect(result).toHaveProperty("location");
+  });
+
+  test("media - fileData", async () => {
+    const canonicalStore = new BlobStoreAIStudioFile({});
+    const resolver = new SimpleWebBlobStore();
+    const mediaManager = new MediaManager({
+      store: canonicalStore,
+      resolvers: [resolver],
+    });
+    const model = new ChatGoogle({
+      modelName: "gemini-1.5-flash",
+      apiVersion: "v1beta",
+      mediaManager,
+    });
+
+    const message: MessageContentComplex[] = [
+      {
+        type: "text",
+        text: "What is in this image?",
+      },
+      {
+        type: "media",
+        fileUri: "https://js.langchain.com/v0.2/img/brand/wordmark.png",
+      },
+    ];
+
+    const messages: BaseMessage[] = [
+      new HumanMessageChunk({ content: message }),
+    ];
+
+    try {
+      const res = await model.invoke(messages);
+
+      // console.log(res);
+
+      expect(res).toBeDefined();
+      expect(res._getType()).toEqual("ai");
+
+      const aiMessage = res as AIMessageChunk;
+      expect(aiMessage.content).toBeDefined();
+
+      expect(typeof aiMessage.content).toBe("string");
+      const text = aiMessage.content as string;
+      expect(text).toMatch(/LangChain/);
+
+      // eslint-disable-next-line @typescript-eslint/no-explicit-any
+    } catch (e: any) {
+      console.error(e);
+      console.error(JSON.stringify(e.details, null, 1));
+      throw e;
+    }
+  });
+});
diff --git a/libs/langchain-google-webauth/src/tests/data/blue-square.png b/libs/langchain-google-webauth/src/tests/data/blue-square.png
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diff --git a/libs/langchain-google-webauth/src/tests/data/rainbow.mp4 b/libs/langchain-google-webauth/src/tests/data/rainbow.mp4
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literal 0
HcmV?d00001

diff --git a/libs/langchain-google-webauth/src/tests/media.int.test.ts b/libs/langchain-google-webauth/src/tests/media.int.test.ts
new file mode 100644
index 000000000000..b1678dbd1945
--- /dev/null
+++ b/libs/langchain-google-webauth/src/tests/media.int.test.ts
@@ -0,0 +1,201 @@
+import fs from "fs/promises";
+import { test } from "@jest/globals";
+import { GoogleCloudStorageUri } from "@langchain/google-common/experimental/media";
+import { MediaBlob } from "@langchain/google-common/experimental/utils/media_core";
+import {
+  BlobStoreAIStudioFile,
+  BlobStoreGoogleCloudStorage,
+  BlobStoreGoogleCloudStorageParams,
+} from "../media.js";
+
+describe("Google Webauth GCS store", () => {
+  test("save text no-metadata", async () => {
+    const uriPrefix = new GoogleCloudStorageUri("gs://test-langchainjs/");
+    const uri = `gs://test-langchainjs/text/test-${Date.now()}-nm`;
+    const content = "This is a test";
+    const blob = await MediaBlob.fromBlob(
+      new Blob([content], { type: "text/plain" }),
+      {
+        path: uri,
+      }
+    );
+    const config: BlobStoreGoogleCloudStorageParams = {
+      uriPrefix,
+    };
+    const blobStore = new BlobStoreGoogleCloudStorage(config);
+    const storedBlob = await blobStore.store(blob);
+    // console.log(storedBlob);
+    expect(storedBlob?.path).toEqual(uri);
+    expect(await storedBlob?.asString()).toEqual(content);
+    expect(storedBlob?.mimetype).toEqual("text/plain");
+    expect(storedBlob?.metadata).not.toHaveProperty("metadata");
+    expect(storedBlob?.size).toEqual(content.length);
+    expect(storedBlob?.metadata?.kind).toEqual("storage#object");
+  });
+
+  test("save text with-metadata", async () => {
+    const uriPrefix = new GoogleCloudStorageUri("gs://test-langchainjs/");
+    const uri = `gs://test-langchainjs/text/test-${Date.now()}-wm`;
+    const content = "This is a test";
+    const blob = await MediaBlob.fromBlob(
+      new Blob([content], { type: "text/plain" }),
+      {
+        path: uri,
+        metadata: {
+          alpha: "one",
+          bravo: "two",
+        },
+      }
+    );
+    const config: BlobStoreGoogleCloudStorageParams = {
+      uriPrefix,
+    };
+    const blobStore = new BlobStoreGoogleCloudStorage(config);
+    const storedBlob = await blobStore.store(blob);
+    // console.log(storedBlob);
+    expect(storedBlob?.path).toEqual(uri);
+    expect(await storedBlob?.asString()).toEqual(content);
+    expect(storedBlob?.mimetype).toEqual("text/plain");
+    expect(storedBlob?.metadata).toHaveProperty("metadata");
+    expect(storedBlob?.metadata?.metadata?.alpha).toEqual("one");
+    expect(storedBlob?.metadata?.metadata?.bravo).toEqual("two");
+    expect(storedBlob?.size).toEqual(content.length);
+    expect(storedBlob?.metadata?.kind).toEqual("storage#object");
+  });
+
+  test("save image no-metadata", async () => {
+    const filename = `src/tests/data/blue-square.png`;
+    const dataBuffer = await fs.readFile(filename);
+    const data = new Blob([dataBuffer], { type: "image/png" });
+
+    const uriPrefix = new GoogleCloudStorageUri("gs://test-langchainjs/");
+    const uri = `gs://test-langchainjs/image/test-${Date.now()}-nm`;
+    const blob = await MediaBlob.fromBlob(data, {
+      path: uri,
+    });
+    const config: BlobStoreGoogleCloudStorageParams = {
+      uriPrefix,
+    };
+    const blobStore = new BlobStoreGoogleCloudStorage(config);
+    const storedBlob = await blobStore.store(blob);
+    // console.log(storedBlob);
+    expect(storedBlob?.path).toEqual(uri);
+    expect(storedBlob?.size).toEqual(176);
+    expect(storedBlob?.mimetype).toEqual("image/png");
+    expect(storedBlob?.metadata?.kind).toEqual("storage#object");
+  });
+
+  test("get text no-metadata", async () => {
+    const uriPrefix = new GoogleCloudStorageUri("gs://test-langchainjs/");
+    const uri: string = "gs://test-langchainjs/text/test-nm";
+    const config: BlobStoreGoogleCloudStorageParams = {
+      uriPrefix,
+    };
+    const blobStore = new BlobStoreGoogleCloudStorage(config);
+    const blob = await blobStore.fetch(uri);
+    // console.log(blob);
+    expect(blob?.path).toEqual(uri);
+    expect(await blob?.asString()).toEqual("This is a test");
+    expect(blob?.mimetype).toEqual("text/plain");
+    expect(blob?.metadata).not.toHaveProperty("metadata");
+    expect(blob?.size).toEqual(14);
+    expect(blob?.metadata?.kind).toEqual("storage#object");
+  });
+
+  test("get text with-metadata", async () => {
+    const uriPrefix = new GoogleCloudStorageUri("gs://test-langchainjs/");
+    const uri: string = "gs://test-langchainjs/text/test-wm";
+    const config: BlobStoreGoogleCloudStorageParams = {
+      uriPrefix,
+    };
+    const blobStore = new BlobStoreGoogleCloudStorage(config);
+    const blob = await blobStore.fetch(uri);
+    // console.log(blob);
+    expect(blob?.path).toEqual(uri);
+    expect(await blob?.asString()).toEqual("This is a test");
+    expect(blob?.mimetype).toEqual("text/plain");
+    expect(blob?.metadata).toHaveProperty("metadata");
+    expect(blob?.metadata?.metadata?.alpha).toEqual("one");
+    expect(blob?.metadata?.metadata?.bravo).toEqual("two");
+    expect(blob?.size).toEqual(14);
+    expect(blob?.metadata?.kind).toEqual("storage#object");
+  });
+
+  test("get image no-metadata", async () => {
+    const uriPrefix = new GoogleCloudStorageUri("gs://test-langchainjs/");
+    const uri: string = "gs://test-langchainjs/image/test-nm";
+    const config: BlobStoreGoogleCloudStorageParams = {
+      uriPrefix,
+    };
+    const blobStore = new BlobStoreGoogleCloudStorage(config);
+    const blob = await blobStore.fetch(uri);
+    // console.log(storedBlob);
+    expect(blob?.path).toEqual(uri);
+    expect(blob?.size).toEqual(176);
+    expect(blob?.mimetype).toEqual("image/png");
+    expect(blob?.metadata?.kind).toEqual("storage#object");
+  });
+});
+
+describe("Google APIKey AIStudioBlobStore", () => {
+  test("save image no metadata", async () => {
+    const filename = `src/tests/data/blue-square.png`;
+    const dataBuffer = await fs.readFile(filename);
+    const data = new Blob([dataBuffer], { type: "image/png" });
+    const blob = await MediaBlob.fromBlob(data, {
+      path: filename,
+    });
+    const blobStore = new BlobStoreAIStudioFile();
+    const storedBlob = await blobStore.store(blob);
+    console.log(storedBlob);
+
+    // The blob itself is expected to have no data right now,
+    // but this will hopefully change in the future.
+    expect(storedBlob?.size).toEqual(0);
+    expect(storedBlob?.dataType).toEqual("image/png");
+    expect(storedBlob?.metadata?.sizeBytes).toEqual("176");
+    expect(storedBlob?.metadata?.state).toEqual("ACTIVE");
+  });
+
+  test("save video with retry", async () => {
+    const filename = `src/tests/data/rainbow.mp4`;
+    const dataBuffer = await fs.readFile(filename);
+    const data = new Blob([dataBuffer], { type: "video/mp4" });
+    const blob = await MediaBlob.fromBlob(data, {
+      path: filename,
+    });
+    const blobStore = new BlobStoreAIStudioFile();
+    const storedBlob = await blobStore.store(blob);
+    console.log(storedBlob);
+
+    // The blob itself is expected to have no data right now,
+    // but this will hopefully change in the future.
+    expect(storedBlob?.size).toEqual(0);
+    expect(storedBlob?.dataType).toEqual("video/mp4");
+    expect(storedBlob?.metadata?.sizeBytes).toEqual("1020253");
+    expect(storedBlob?.metadata?.state).toEqual("ACTIVE");
+    expect(storedBlob?.metadata?.videoMetadata?.videoDuration).toEqual("8s");
+  });
+
+  test("save video no retry", async () => {
+    const filename = `src/tests/data/rainbow.mp4`;
+    const dataBuffer = await fs.readFile(filename);
+    const data = new Blob([dataBuffer], { type: "video/mp4" });
+    const blob = await MediaBlob.fromBlob(data, {
+      path: filename,
+    });
+    const blobStore = new BlobStoreAIStudioFile({
+      retryTime: -1,
+    });
+    const storedBlob = await blobStore.store(blob);
+    console.log(storedBlob);
+
+    // The blob itself is expected to have no data right now,
+    // but this will hopefully change in the future.
+    expect(storedBlob?.size).toEqual(0);
+    expect(storedBlob?.dataType).toEqual("video/mp4");
+    expect(storedBlob?.metadata?.sizeBytes).toEqual("1020253");
+    expect(storedBlob?.metadata?.state).toEqual("PROCESSING");
+    expect(storedBlob?.metadata?.videoMetadata).toBeUndefined();
+  });
+});
diff --git a/yarn.lock b/yarn.lock
index 60ad225ca0ee..933f71e948ed 100644
--- a/yarn.lock
+++ b/yarn.lock
@@ -11996,6 +11996,7 @@ __metadata:
     ts-jest: ^29.1.0
     typescript: <5.2.0
     web-auth-library: ^1.0.3
+    zod: ^3.23.8
   languageName: unknown
   linkType: soft
 

From 86c2a9a43e2ee6866adb38f09ad120dce28cfaf1 Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Wed, 11 Sep 2024 13:50:19 -0700
Subject: [PATCH 162/344] fix(langchain): Fix local file store traversal issue
 (#6736)

---
 .../integrations/stores/file_system.ipynb     |  8 +++++
 langchain/src/storage/file_system.ts          | 30 +++++++++++++++++--
 .../src/storage/tests/file_system.test.ts     | 19 ++++++++++++
 3 files changed, 55 insertions(+), 2 deletions(-)

diff --git a/docs/core_docs/docs/integrations/stores/file_system.ipynb b/docs/core_docs/docs/integrations/stores/file_system.ipynb
index c7c7bdd9ee77..ceeb79b8da1a 100644
--- a/docs/core_docs/docs/integrations/stores/file_system.ipynb
+++ b/docs/core_docs/docs/integrations/stores/file_system.ipynb
@@ -46,6 +46,14 @@
     "\n",
     ":::\n",
     "\n",
+    ":::warning\n",
+    "\n",
+    "\n",
+    "This file store can alter any text file in the provided directory and any subfolders.\n",
+    "Make sure that the path you specify when initializing the store is free of other files.\n",
+    "\n",
+    ":::\n",
+    "\n",
     "```\n",
     "\n",
     "### Integration details\n",
diff --git a/langchain/src/storage/file_system.ts b/langchain/src/storage/file_system.ts
index a41c8fd702f8..9e01d452efb6 100644
--- a/langchain/src/storage/file_system.ts
+++ b/langchain/src/storage/file_system.ts
@@ -26,6 +26,11 @@ import { BaseStore } from "@langchain/core/stores";
  *   await store.mdelete([key]);
  * }
  * ```
+ *
+ * @security **Security Notice** This file store
+ * can alter any text file in the provided directory and any subfolders.
+ * Make sure that the path you specify when initializing the store is free
+ * of other files.
  */
 export class LocalFileStore extends BaseStore<string, Uint8Array> {
   lc_namespace = ["langchain", "storage"];
@@ -43,6 +48,12 @@ export class LocalFileStore extends BaseStore<string, Uint8Array> {
    * @returns Promise that resolves to the parsed file content.
    */
   private async getParsedFile(key: string): Promise<Uint8Array | undefined> {
+    // Validate the key to prevent path traversal
+    if (!/^[a-zA-Z0-9_\-:.]+$/.test(key)) {
+      throw new Error(
+        "Invalid key. Only alphanumeric characters, underscores, hyphens, colons, and periods are allowed."
+      );
+    }
     try {
       const fileContent = await fs.readFile(this.getFullPath(key));
       if (!fileContent) {
@@ -87,11 +98,26 @@ export class LocalFileStore extends BaseStore<string, Uint8Array> {
   private getFullPath(key: string): string {
     try {
       const keyAsTxtFile = `${key}.txt`;
-      const fullPath = path.join(this.rootPath, keyAsTxtFile);
+
+      // Validate the key to prevent path traversal
+      if (!/^[a-zA-Z0-9_.\-/]+$/.test(key)) {
+        throw new Error(`Invalid characters in key: ${key}`);
+      }
+
+      const fullPath = path.resolve(this.rootPath, keyAsTxtFile);
+      const commonPath = path.resolve(this.rootPath);
+
+      if (!fullPath.startsWith(commonPath)) {
+        throw new Error(
+          `Invalid key: ${key}. Key should be relative to the root path. ` +
+            `Root path: ${this.rootPath}, Full path: ${fullPath}`
+        );
+      }
+
       return fullPath;
     } catch (e) {
       throw new Error(
-        `Error getting full path for key: ${key}.\nError: ${JSON.stringify(e)}`
+        `Error getting full path for key: ${key}.\nError: ${String(e)}`
       );
     }
   }
diff --git a/langchain/src/storage/tests/file_system.test.ts b/langchain/src/storage/tests/file_system.test.ts
index bb9bd3fffd9c..a54f8d61610b 100644
--- a/langchain/src/storage/tests/file_system.test.ts
+++ b/langchain/src/storage/tests/file_system.test.ts
@@ -88,4 +88,23 @@ describe("LocalFileStore", () => {
     ).toEqual([value1, value2]);
     await fs.promises.rm(secondaryRootPath, { recursive: true, force: true });
   });
+
+  test("Should disallow attempts to traverse paths outside of a subfolder", async () => {
+    const encoder = new TextEncoder();
+    const store = await LocalFileStore.fromPath(secondaryRootPath);
+    const value1 = new Date().toISOString();
+    await expect(
+      store.mset([["../foo", encoder.encode(value1)]])
+    ).rejects.toThrowError();
+    await expect(
+      store.mset([["/foo", encoder.encode(value1)]])
+    ).rejects.toThrowError();
+    await expect(
+      store.mset([["\\foo", encoder.encode(value1)]])
+    ).rejects.toThrowError();
+    await expect(store.mget(["../foo"])).rejects.toThrowError();
+    await expect(store.mget(["/foo"])).rejects.toThrowError();
+    await expect(store.mget(["\\foo"])).rejects.toThrowError();
+    await fs.promises.rm(secondaryRootPath, { recursive: true, force: true });
+  });
 });

From eee902c1965395c6b9b8d2afd96a798bc1fcbe07 Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Wed, 11 Sep 2024 14:27:56 -0700
Subject: [PATCH 163/344] fix(ci): Fix cf exports test (#6737)

---
 environment_tests/test-exports-cf/package.json | 2 ++
 environment_tests/test-exports-cf/src/index.ts | 4 ++--
 2 files changed, 4 insertions(+), 2 deletions(-)

diff --git a/environment_tests/test-exports-cf/package.json b/environment_tests/test-exports-cf/package.json
index ccb5d8c18850..15cd274bde84 100644
--- a/environment_tests/test-exports-cf/package.json
+++ b/environment_tests/test-exports-cf/package.json
@@ -12,6 +12,8 @@
     "@langchain/community": "workspace:*",
     "@langchain/core": "workspace:*",
     "@langchain/openai": "workspace:*",
+    "@tsconfig/recommended": "^1.0.2",
+    "d3-dsv": "2",
     "langchain": "workspace:*",
     "wrangler": "^3.19.0",
     "vitest": "0.34.3",
diff --git a/environment_tests/test-exports-cf/src/index.ts b/environment_tests/test-exports-cf/src/index.ts
index 0a196ce5397a..a19b5dde5e58 100644
--- a/environment_tests/test-exports-cf/src/index.ts
+++ b/environment_tests/test-exports-cf/src/index.ts
@@ -20,7 +20,7 @@ import {
 } from "@langchain/core/prompts";
 import { OpenAI } from "@langchain/openai";
 import { OpenAIEmbeddings } from "@langchain/openai";
-import { HNLoader } from "@langchain/community/document_loaders/web/hn";
+import { CSVLoader } from "@langchain/community/document_loaders/fs/csv";
 
 export interface Env {
   OPENAI_API_KEY?: string;
@@ -52,7 +52,7 @@ export default {
     const emb = new OpenAIEmbeddings(constructorParameters);
 
     // Test a document loader
-    new HNLoader("https://news.ycombinator.com/item?id=28275939");
+    new CSVLoader(new Blob(["a,b,c\n1,2,3\n4,5,6"]));
 
     // Test a chain + prompt + model
     const chain = new LLMChain({

From 88275b357a7d24e59d40e376276864b572bcb979 Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Wed, 11 Sep 2024 14:40:19 -0700
Subject: [PATCH 164/344] fix(ci): Fix cf-workers export test (#6738)

---
 environment_tests/test-exports-cf/package.json | 1 -
 environment_tests/test-exports-cf/src/index.ts | 4 ----
 2 files changed, 5 deletions(-)

diff --git a/environment_tests/test-exports-cf/package.json b/environment_tests/test-exports-cf/package.json
index 15cd274bde84..86264ea5ee3e 100644
--- a/environment_tests/test-exports-cf/package.json
+++ b/environment_tests/test-exports-cf/package.json
@@ -9,7 +9,6 @@
   },
   "dependencies": {
     "@langchain/anthropic": "workspace:*",
-    "@langchain/community": "workspace:*",
     "@langchain/core": "workspace:*",
     "@langchain/openai": "workspace:*",
     "@tsconfig/recommended": "^1.0.2",
diff --git a/environment_tests/test-exports-cf/src/index.ts b/environment_tests/test-exports-cf/src/index.ts
index a19b5dde5e58..b89be67fcc5a 100644
--- a/environment_tests/test-exports-cf/src/index.ts
+++ b/environment_tests/test-exports-cf/src/index.ts
@@ -20,7 +20,6 @@ import {
 } from "@langchain/core/prompts";
 import { OpenAI } from "@langchain/openai";
 import { OpenAIEmbeddings } from "@langchain/openai";
-import { CSVLoader } from "@langchain/community/document_loaders/fs/csv";
 
 export interface Env {
   OPENAI_API_KEY?: string;
@@ -51,9 +50,6 @@ export default {
     new OpenAI(constructorParameters);
     const emb = new OpenAIEmbeddings(constructorParameters);
 
-    // Test a document loader
-    new CSVLoader(new Blob(["a,b,c\n1,2,3\n4,5,6"]));
-
     // Test a chain + prompt + model
     const chain = new LLMChain({
       llm: new ChatOpenAI(constructorParameters),

From 8a2904562738e8cca8074769173fa691291c8230 Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Wed, 11 Sep 2024 15:04:51 -0700
Subject: [PATCH 165/344] fix(ci): Fix esbuild tests (#6739)

---
 environment_tests/test-exports-esbuild/package.json      | 1 -
 environment_tests/test-exports-esbuild/src/import.cjs    | 8 --------
 environment_tests/test-exports-esbuild/src/index.js      | 8 --------
 environment_tests/test-exports-esbuild/src/require.cjs   | 8 --------
 environment_tests/test-exports-esbuild/src/typescript.ts | 8 --------
 5 files changed, 33 deletions(-)

diff --git a/environment_tests/test-exports-esbuild/package.json b/environment_tests/test-exports-esbuild/package.json
index a90f4b52118d..d4eb19c76517 100644
--- a/environment_tests/test-exports-esbuild/package.json
+++ b/environment_tests/test-exports-esbuild/package.json
@@ -24,7 +24,6 @@
     "@langchain/core": "workspace:*",
     "@langchain/openai": "workspace:*",
     "@tsconfig/recommended": "^1.0.2",
-    "d3-dsv": "2",
     "esbuild": "^0.17.18",
     "hnswlib-node": "^3.0.0",
     "langchain": "workspace:*",
diff --git a/environment_tests/test-exports-esbuild/src/import.cjs b/environment_tests/test-exports-esbuild/src/import.cjs
index b0a20377a600..5a63cc4eb32f 100644
--- a/environment_tests/test-exports-esbuild/src/import.cjs
+++ b/environment_tests/test-exports-esbuild/src/import.cjs
@@ -6,7 +6,6 @@ async function test() {
   const { HNSWLib } = await import("@langchain/community/vectorstores/hnswlib");
   const { OpenAIEmbeddings } = await import("@langchain/openai");
   const { Document } = await import("@langchain/core/documents");
-  const { CSVLoader } = await import("@langchain/community/document_loaders/fs/csv");
 
   // Test exports
   assert(typeof OpenAI === "function");
@@ -39,13 +38,6 @@ async function test() {
   );
 
   assert((await vs.similaritySearchVectorWithScore([0, 0, 1], 1)).length === 1);
-
-  // Test CSVLoader
-  const loader = new CSVLoader(new Blob(["a,b,c\n1,2,3\n4,5,6"]));
-
-  const docs = await loader.load();
-
-  assert(docs.length === 2);
 }
 
 test()
diff --git a/environment_tests/test-exports-esbuild/src/index.js b/environment_tests/test-exports-esbuild/src/index.js
index b4abfa489369..167a8f92d612 100644
--- a/environment_tests/test-exports-esbuild/src/index.js
+++ b/environment_tests/test-exports-esbuild/src/index.js
@@ -5,7 +5,6 @@ import { ChatPromptTemplate } from "@langchain/core/prompts";
 import { HNSWLib } from "@langchain/community/vectorstores/hnswlib";
 import { OpenAIEmbeddings } from "@langchain/openai";
 import { Document } from "@langchain/core/documents";
-import { CSVLoader } from "@langchain/community/document_loaders/fs/csv";
 import { CallbackManager } from "@langchain/core/callbacks/manager";
 
 // Test exports
@@ -41,10 +40,3 @@ await vs.addVectors(
 );
 
 assert((await vs.similaritySearchVectorWithScore([0, 0, 1], 1)).length === 1);
-
-// Test CSVLoader
-const loader = new CSVLoader(new Blob(["a,b,c\n1,2,3\n4,5,6"]));
-
-const docs = await loader.load();
-
-assert(docs.length === 2);
diff --git a/environment_tests/test-exports-esbuild/src/require.cjs b/environment_tests/test-exports-esbuild/src/require.cjs
index 9540bb5e84ee..b0920e12d41e 100644
--- a/environment_tests/test-exports-esbuild/src/require.cjs
+++ b/environment_tests/test-exports-esbuild/src/require.cjs
@@ -5,7 +5,6 @@ const { ChatPromptTemplate } = require("@langchain/core/prompts");
 const { HNSWLib } = require("@langchain/community/vectorstores/hnswlib");
 const { OpenAIEmbeddings } = require("@langchain/openai");
 const { Document } = require("@langchain/core/documents");
-const { CSVLoader } = require("@langchain/community/document_loaders/fs/csv");
 
 async function test() {
   // Test exports
@@ -39,13 +38,6 @@ async function test() {
   );
 
   assert((await vs.similaritySearchVectorWithScore([0, 0, 1], 1)).length === 1);
-
-  // Test CSVLoader
-  const loader = new CSVLoader(new Blob(["a,b,c\n1,2,3\n4,5,6"]));
-
-  const docs = await loader.load();
-
-  assert(docs.length === 2);
 }
 
 test()
diff --git a/environment_tests/test-exports-esbuild/src/typescript.ts b/environment_tests/test-exports-esbuild/src/typescript.ts
index abe736070944..2c3989e8100c 100644
--- a/environment_tests/test-exports-esbuild/src/typescript.ts
+++ b/environment_tests/test-exports-esbuild/src/typescript.ts
@@ -5,7 +5,6 @@ import { ChatPromptTemplate } from "@langchain/core/prompts";
 import { HNSWLib } from "@langchain/community/vectorstores/hnswlib";
 import { OpenAIEmbeddings } from "@langchain/openai";
 import { Document } from "@langchain/core/documents";
-import { CSVLoader } from "@langchain/community/document_loaders/fs/csv";
 
 async function test(useAzure: boolean = false) {
   // Test exports
@@ -49,13 +48,6 @@ async function test(useAzure: boolean = false) {
   );
 
   assert((await vs.similaritySearchVectorWithScore([0, 0, 1], 1)).length === 1);
-
-  // Test CSVLoader
-  const loader = new CSVLoader(new Blob(["a,b,c\n1,2,3\n4,5,6"]));
-
-  const docs = await loader.load();
-
-  assert(docs.length === 2);
 }
 
 test(false)

From 6c2f1789c99d1ebb6844b58bdff2ba02d866d4b8 Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Wed, 11 Sep 2024 16:27:20 -0700
Subject: [PATCH 166/344] fix(ci): Fix ci (#6741)

---
 environment_tests/test-exports-bun/src/import.cjs  | 8 --------
 environment_tests/test-exports-bun/src/index.js    | 8 --------
 environment_tests/test-exports-bun/src/index.ts    | 8 --------
 environment_tests/test-exports-bun/src/require.cjs | 8 --------
 environment_tests/test-exports-cjs/src/import.js   | 8 --------
 environment_tests/test-exports-cjs/src/index.mjs   | 8 --------
 environment_tests/test-exports-cjs/src/index.ts    | 8 --------
 environment_tests/test-exports-cjs/src/require.js  | 8 --------
 environment_tests/test-exports-esm/package.json    | 1 -
 environment_tests/test-exports-esm/src/import.cjs  | 8 --------
 environment_tests/test-exports-esm/src/index.js    | 8 --------
 environment_tests/test-exports-esm/src/index.ts    | 8 --------
 environment_tests/test-exports-esm/src/require.cjs | 8 --------
 13 files changed, 97 deletions(-)

diff --git a/environment_tests/test-exports-bun/src/import.cjs b/environment_tests/test-exports-bun/src/import.cjs
index e2c3e6477774..0d56038c6680 100644
--- a/environment_tests/test-exports-bun/src/import.cjs
+++ b/environment_tests/test-exports-bun/src/import.cjs
@@ -6,7 +6,6 @@ async function test() {
   const { MemoryVectorStore } = await import("langchain/vectorstores/memory");
   const { OpenAIEmbeddings } = await import("@langchain/openai");
   const { Document } = await import("@langchain/core/documents");
-  const { CSVLoader } = await import("@langchain/community/document_loaders/fs/csv");
 
   // Test exports
   assert(typeof OpenAI === "function");
@@ -32,13 +31,6 @@ async function test() {
   );
 
   assert((await vs.similaritySearchVectorWithScore([0, 0, 1], 1)).length === 1);
-
-  // Test CSVLoader
-  const loader = new CSVLoader(new Blob(["a,b,c\n1,2,3\n4,5,6"]));
-
-  const docs = await loader.load();
-
-  assert(docs.length === 2);
 }
 
 test()
diff --git a/environment_tests/test-exports-bun/src/index.js b/environment_tests/test-exports-bun/src/index.js
index a486fa55a203..dc1227f31169 100644
--- a/environment_tests/test-exports-bun/src/index.js
+++ b/environment_tests/test-exports-bun/src/index.js
@@ -5,7 +5,6 @@ import { ChatPromptTemplate } from "@langchain/core/prompts";
 import { MemoryVectorStore } from "langchain/vectorstores/memory";
 import { OpenAIEmbeddings } from "@langchain/openai";
 import { Document } from "@langchain/core/documents";
-import { CSVLoader } from "@langchain/community/document_loaders/fs/csv";
 import { CallbackManager } from "@langchain/core/callbacks/manager";
 
 // Test exports
@@ -34,10 +33,3 @@ await vs.addVectors(
 );
 
 assert((await vs.similaritySearchVectorWithScore([0, 0, 1], 1)).length === 1);
-
-// Test CSVLoader
-const loader = new CSVLoader(new Blob(["a,b,c\n1,2,3\n4,5,6"]));
-
-const docs = await loader.load();
-
-assert(docs.length === 2);
diff --git a/environment_tests/test-exports-bun/src/index.ts b/environment_tests/test-exports-bun/src/index.ts
index 83798a420746..951002f6241e 100644
--- a/environment_tests/test-exports-bun/src/index.ts
+++ b/environment_tests/test-exports-bun/src/index.ts
@@ -5,7 +5,6 @@ import { ChatPromptTemplate } from "@langchain/core/prompts";
 import { MemoryVectorStore } from "langchain/vectorstores/memory";
 import { OpenAIEmbeddings } from "@langchain/openai";
 import { Document } from "@langchain/core/documents";
-import { CSVLoader } from "@langchain/community/document_loaders/fs/csv";
 
 async function test(useAzure: boolean = false) {
   // Test exports
@@ -44,13 +43,6 @@ async function test(useAzure: boolean = false) {
   );
 
   assert((await vs.similaritySearchVectorWithScore([0, 0, 1], 1)).length === 1);
-
-  // Test CSVLoader
-  const loader = new CSVLoader(new Blob(["a,b,c\n1,2,3\n4,5,6"]));
-
-  const docs = await loader.load();
-
-  assert(docs.length === 2);
 }
 
 test(false)
diff --git a/environment_tests/test-exports-bun/src/require.cjs b/environment_tests/test-exports-bun/src/require.cjs
index 160e70996ff9..7750e2def235 100644
--- a/environment_tests/test-exports-bun/src/require.cjs
+++ b/environment_tests/test-exports-bun/src/require.cjs
@@ -5,7 +5,6 @@ const { ChatPromptTemplate } = require("@langchain/core/prompts");
 const { MemoryVectorStore } = require("langchain/vectorstores/memory");
 const { OpenAIEmbeddings } = require("@langchain/openai");
 const { Document } = require("@langchain/core/documents");
-const { CSVLoader } = require("@langchain/community/document_loaders/fs/csv");
 
 async function test() {
   // Test exports
@@ -32,13 +31,6 @@ async function test() {
   );
 
   assert((await vs.similaritySearchVectorWithScore([0, 0, 1], 1)).length === 1);
-
-  // Test CSVLoader
-  const loader = new CSVLoader(new Blob(["a,b,c\n1,2,3\n4,5,6"]));
-
-  const docs = await loader.load();
-
-  assert(docs.length === 2);
 }
 
 test()
diff --git a/environment_tests/test-exports-cjs/src/import.js b/environment_tests/test-exports-cjs/src/import.js
index ce375bf9b284..d0c116c774e5 100644
--- a/environment_tests/test-exports-cjs/src/import.js
+++ b/environment_tests/test-exports-cjs/src/import.js
@@ -6,7 +6,6 @@ async function test() {
   const { HNSWLib } = await import("@langchain/community/vectorstores/hnswlib");
   const { HuggingFaceTransformersEmbeddings } = await import("@langchain/community/embeddings/hf_transformers");
   const { Document } = await import("@langchain/core/documents");
-  const { CSVLoader } = await import("@langchain/community/document_loaders/fs/csv");
 
   // Test exports
   assert(typeof OpenAI === "function");
@@ -39,13 +38,6 @@ async function test() {
   );
 
   assert((await vs.similaritySearchVectorWithScore([0, 0, 1], 1)).length === 1);
-
-  // Test CSVLoader
-  const loader = new CSVLoader(new Blob(["a,b,c\n1,2,3\n4,5,6"]));
-
-  const docs = await loader.load();
-
-  assert(docs.length === 2);
 }
 
 test()
diff --git a/environment_tests/test-exports-cjs/src/index.mjs b/environment_tests/test-exports-cjs/src/index.mjs
index e0b99f3be778..36ce9d72a71d 100644
--- a/environment_tests/test-exports-cjs/src/index.mjs
+++ b/environment_tests/test-exports-cjs/src/index.mjs
@@ -5,7 +5,6 @@ import { HNSWLib } from "@langchain/community/vectorstores/hnswlib";
 import { ChatPromptTemplate } from "@langchain/core/prompts";
 import { HuggingFaceTransformersEmbeddings } from "@langchain/community/embeddings/hf_transformers";
 import { Document } from "@langchain/core/documents";
-import { CSVLoader } from "@langchain/community/document_loaders/fs/csv";
 
 // Test exports
 assert(typeof OpenAI === "function");
@@ -38,10 +37,3 @@ await vs.addVectors(
 );
 
 assert((await vs.similaritySearchVectorWithScore([0, 0, 1], 1)).length === 1);
-
-// Test CSVLoader
-const loader = new CSVLoader(new Blob(["a,b,c\n1,2,3\n4,5,6"]));
-
-const docs = await loader.load();
-
-assert(docs.length === 2);
diff --git a/environment_tests/test-exports-cjs/src/index.ts b/environment_tests/test-exports-cjs/src/index.ts
index a190d13203c1..66a7b716b4d8 100644
--- a/environment_tests/test-exports-cjs/src/index.ts
+++ b/environment_tests/test-exports-cjs/src/index.ts
@@ -5,7 +5,6 @@ import { ChatPromptTemplate } from "@langchain/core/prompts";
 import { HNSWLib } from "@langchain/community/vectorstores/hnswlib";
 import { HuggingFaceTransformersEmbeddings } from "@langchain/community/embeddings/hf_transformers";
 import { Document } from "@langchain/core/documents";
-import { CSVLoader } from "@langchain/community/document_loaders/fs/csv";
 
 async function test(useAzure: boolean = false) {
   // Test exports
@@ -48,13 +47,6 @@ async function test(useAzure: boolean = false) {
   );
 
   assert((await vs.similaritySearchVectorWithScore([0, 0, 1], 1)).length === 1);
-
-  // Test CSVLoader
-  const loader = new CSVLoader(new Blob(["a,b,c\n1,2,3\n4,5,6"]));
-
-  const docs = await loader.load();
-
-  assert(docs.length === 2);
 }
 
 test(false)
diff --git a/environment_tests/test-exports-cjs/src/require.js b/environment_tests/test-exports-cjs/src/require.js
index e9124c0a8422..7f6fb549111d 100644
--- a/environment_tests/test-exports-cjs/src/require.js
+++ b/environment_tests/test-exports-cjs/src/require.js
@@ -5,7 +5,6 @@ const { ChatPromptTemplate } = require("@langchain/core/prompts");
 const { HNSWLib } = require("@langchain/community/vectorstores/hnswlib");
 const { HuggingFaceTransformersEmbeddings } = require("@langchain/community/embeddings/hf_transformers");
 const { Document } = require("@langchain/core/documents");
-const { CSVLoader } = require("@langchain/community/document_loaders/fs/csv");
 
 async function test() {
   // Test exports
@@ -39,13 +38,6 @@ async function test() {
   );
 
   assert((await vs.similaritySearchVectorWithScore([0, 0, 1], 1)).length === 1);
-
-  // Test CSVLoader
-  const loader = new CSVLoader(new Blob(["a,b,c\n1,2,3\n4,5,6"]));
-
-  const docs = await loader.load();
-
-  assert(docs.length === 2);
 }
 
 test()
diff --git a/environment_tests/test-exports-esm/package.json b/environment_tests/test-exports-esm/package.json
index eee0a02f6fbb..81e31aec7d05 100644
--- a/environment_tests/test-exports-esm/package.json
+++ b/environment_tests/test-exports-esm/package.json
@@ -28,7 +28,6 @@
     "@langchain/openai": "workspace:*",
     "@tsconfig/recommended": "^1.0.2",
     "@xenova/transformers": "^2.17.2",
-    "d3-dsv": "2",
     "hnswlib-node": "^3.0.0",
     "langchain": "workspace:*",
     "typescript": "^5.0.0"
diff --git a/environment_tests/test-exports-esm/src/import.cjs b/environment_tests/test-exports-esm/src/import.cjs
index 4f256de0bfa5..31cfb59e0996 100644
--- a/environment_tests/test-exports-esm/src/import.cjs
+++ b/environment_tests/test-exports-esm/src/import.cjs
@@ -6,7 +6,6 @@ async function test() {
   const { HNSWLib } = await import("@langchain/community/vectorstores/hnswlib");
   const { HuggingFaceTransformersEmbeddings } = await import("@langchain/community/embeddings/hf_transformers");
   const { Document } = await import("@langchain/core/documents");
-  const { CSVLoader } = await import("@langchain/community/document_loaders/fs/csv");
 
   // Test exports
   assert(typeof OpenAI === "function");
@@ -39,13 +38,6 @@ async function test() {
   );
 
   assert((await vs.similaritySearchVectorWithScore([0, 0, 1], 1)).length === 1);
-
-  // Test CSVLoader
-  const loader = new CSVLoader(new Blob(["a,b,c\n1,2,3\n4,5,6"]));
-
-  const docs = await loader.load();
-
-  assert(docs.length === 2);
 }
 
 test()
diff --git a/environment_tests/test-exports-esm/src/index.js b/environment_tests/test-exports-esm/src/index.js
index 6478bbcaece2..950ff4934d24 100644
--- a/environment_tests/test-exports-esm/src/index.js
+++ b/environment_tests/test-exports-esm/src/index.js
@@ -5,7 +5,6 @@ import { ChatPromptTemplate } from "@langchain/core/prompts";
 import { HNSWLib } from "@langchain/community/vectorstores/hnswlib";
 import { HuggingFaceTransformersEmbeddings } from "@langchain/community/embeddings/hf_transformers";
 import { Document } from "@langchain/core/documents";
-import { CSVLoader } from "@langchain/community/document_loaders/fs/csv";
 import { CallbackManager } from "@langchain/core/callbacks/manager";
 
 // Test exports
@@ -41,10 +40,3 @@ await vs.addVectors(
 );
 
 assert((await vs.similaritySearchVectorWithScore([0, 0, 1], 1)).length === 1);
-
-// Test CSVLoader
-const loader = new CSVLoader(new Blob(["a,b,c\n1,2,3\n4,5,6"]));
-
-const docs = await loader.load();
-
-assert(docs.length === 2);
diff --git a/environment_tests/test-exports-esm/src/index.ts b/environment_tests/test-exports-esm/src/index.ts
index 0e3d688a0461..f01a635b08ef 100644
--- a/environment_tests/test-exports-esm/src/index.ts
+++ b/environment_tests/test-exports-esm/src/index.ts
@@ -5,7 +5,6 @@ import { ChatPromptTemplate } from "@langchain/core/prompts";
 import { HNSWLib } from "@langchain/community/vectorstores/hnswlib";
 import { HuggingFaceTransformersEmbeddings } from "@langchain/community/embeddings/hf_transformers";
 import { Document } from "@langchain/core/documents";
-import { CSVLoader } from "@langchain/community/document_loaders/fs/csv";
 
 async function test(useAzure: boolean = false) {
   // Test exports
@@ -49,13 +48,6 @@ async function test(useAzure: boolean = false) {
   );
 
   assert((await vs.similaritySearchVectorWithScore([0, 0, 1], 1)).length === 1);
-
-  // Test CSVLoader
-  const loader = new CSVLoader(new Blob(["a,b,c\n1,2,3\n4,5,6"]));
-
-  const docs = await loader.load();
-
-  assert(docs.length === 2);
 }
 
 test(false)
diff --git a/environment_tests/test-exports-esm/src/require.cjs b/environment_tests/test-exports-esm/src/require.cjs
index edb1f7b60f7d..b8dc4145ef4e 100644
--- a/environment_tests/test-exports-esm/src/require.cjs
+++ b/environment_tests/test-exports-esm/src/require.cjs
@@ -5,7 +5,6 @@ const { ChatPromptTemplate } = require("@langchain/core/prompts");
 const { HNSWLib } = require("@langchain/community/vectorstores/hnswlib");
 const { HuggingFaceTransformersEmbeddings } = require("@langchain/community/embeddings/hf_transformers");
 const { Document } = require("@langchain/core/documents");
-const { CSVLoader } = require("@langchain/community/document_loaders/fs/csv");
 
 async function test() {
   // Test exports
@@ -39,13 +38,6 @@ async function test() {
   );
 
   assert((await vs.similaritySearchVectorWithScore([0, 0, 1], 1)).length === 1);
-
-  // Test CSVLoader
-  const loader = new CSVLoader(new Blob(["a,b,c\n1,2,3\n4,5,6"]));
-
-  const docs = await loader.load();
-
-  assert(docs.length === 2);
 }
 
 test()

From ec8525c267268adae1fa54059e950dc574e4d3e2 Mon Sep 17 00:00:00 2001
From: jacoblee93 <jacoblee93@gmail.com>
Date: Wed, 11 Sep 2024 16:34:41 -0700
Subject: [PATCH 167/344] chore(langchain): Release 0.2.19

---
 langchain/package.json | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/langchain/package.json b/langchain/package.json
index def762229f25..e8c752f9face 100644
--- a/langchain/package.json
+++ b/langchain/package.json
@@ -1,6 +1,6 @@
 {
   "name": "langchain",
-  "version": "0.2.18",
+  "version": "0.2.19",
   "description": "Typescript bindings for langchain",
   "type": "module",
   "engines": {

From 67714f4995cfe83dd7d6fe5dcb40fc0c34f54f7d Mon Sep 17 00:00:00 2001
From: oleg <me@olegivaniv.com>
Date: Thu, 12 Sep 2024 18:56:26 +0200
Subject: [PATCH 168/344] fix(langchain): Prevent exception when using plan &
 execute agent with no tools (#6744)

Co-authored-by: Brace Sproul <braceasproul@gmail.com>
---
 .../plan_and_execute/agent_executor.ts           |  2 +-
 .../tests/plan_and_execute.int.test.ts           | 16 ++++++++++++++++
 2 files changed, 17 insertions(+), 1 deletion(-)

diff --git a/langchain/src/experimental/plan_and_execute/agent_executor.ts b/langchain/src/experimental/plan_and_execute/agent_executor.ts
index e0ca666ab024..0a744c8c1684 100644
--- a/langchain/src/experimental/plan_and_execute/agent_executor.ts
+++ b/langchain/src/experimental/plan_and_execute/agent_executor.ts
@@ -132,7 +132,7 @@ export class PlanAndExecuteAgentExecutor extends BaseChain {
   }) {
     let agent;
 
-    if (isDynamicStructuredTool(tools[0])) {
+    if (tools.length > 0 && isDynamicStructuredTool(tools[0])) {
       agent = StructuredChatAgent.fromLLMAndTools(llm, tools, {
         humanMessageTemplate,
         inputVariables: ["previous_steps", "current_step", "agent_scratchpad"],
diff --git a/langchain/src/experimental/plan_and_execute/tests/plan_and_execute.int.test.ts b/langchain/src/experimental/plan_and_execute/tests/plan_and_execute.int.test.ts
index 2b166db811e6..70c70447b4f1 100644
--- a/langchain/src/experimental/plan_and_execute/tests/plan_and_execute.int.test.ts
+++ b/langchain/src/experimental/plan_and_execute/tests/plan_and_execute.int.test.ts
@@ -67,3 +67,19 @@ test.skip("Run agent with a sequential math problem", async () => {
 
   // console.log(result);
 });
+
+test.skip("Should run agent with no tools", async () => {
+  const model = new ChatOpenAI({
+    temperature: 0,
+    modelName: "gpt-3.5-turbo",
+    verbose: true,
+  });
+  const executor = await PlanAndExecuteAgentExecutor.fromLLMAndTools({
+    llm: model,
+    tools: [],
+  });
+
+  await executor.call({
+    input: `Who is the current president of the United States? What is their current age raised to the second power?`,
+  });
+});

From 2d4f8e0c315fb9e21b10c0e54925357cc9243d62 Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Thu, 12 Sep 2024 13:12:00 -0700
Subject: [PATCH 169/344] fix(openai): Avoid thrown error on o1 stream calls
 (#6747)

---
 libs/langchain-openai/src/chat_models.ts           | 14 ++++++++++++++
 .../src/tests/chat_models.int.test.ts              | 11 +++++++++++
 2 files changed, 25 insertions(+)

diff --git a/libs/langchain-openai/src/chat_models.ts b/libs/langchain-openai/src/chat_models.ts
index cf8cdfcd5e05..3a0cccf13d04 100644
--- a/libs/langchain-openai/src/chat_models.ts
+++ b/libs/langchain-openai/src/chat_models.ts
@@ -14,6 +14,7 @@ import {
   ToolMessageChunk,
   OpenAIToolCall,
   isAIMessage,
+  convertToChunk,
 } from "@langchain/core/messages";
 import {
   type ChatGeneration,
@@ -1185,6 +1186,19 @@ export class ChatOpenAI<
     options: this["ParsedCallOptions"],
     runManager?: CallbackManagerForLLMRun
   ): AsyncGenerator<ChatGenerationChunk> {
+    if (this.model.includes("o1-")) {
+      console.warn(
+        "[WARNING]: OpenAI o1 models do not yet support token-level streaming. Streaming will yield single chunk."
+      );
+      const result = await this._generate(messages, options, runManager);
+      const messageChunk = convertToChunk(result.generations[0].message);
+      yield new ChatGenerationChunk({
+        message: messageChunk,
+        text:
+          typeof messageChunk.content === "string" ? messageChunk.content : "",
+      });
+      return;
+    }
     const messagesMapped: OpenAICompletionParam[] =
       convertMessagesToOpenAIParams(messages);
     const params = {
diff --git a/libs/langchain-openai/src/tests/chat_models.int.test.ts b/libs/langchain-openai/src/tests/chat_models.int.test.ts
index f51b5121a98c..4e0957d25ec2 100644
--- a/libs/langchain-openai/src/tests/chat_models.int.test.ts
+++ b/libs/langchain-openai/src/tests/chat_models.int.test.ts
@@ -940,3 +940,14 @@ test("populates ID field on AIMessage", async () => {
   expect(finalChunk?.id?.length).toBeGreaterThan(1);
   expect(finalChunk?.id?.startsWith("chatcmpl-")).toBe(true);
 });
+
+test("Test ChatOpenAI stream method", async () => {
+  const model = new ChatOpenAI({ model: "o1-mini" });
+  const stream = await model.stream("Print hello world.");
+  const chunks = [];
+  for await (const chunk of stream) {
+    console.log(chunk);
+    chunks.push(chunk);
+  }
+  expect(chunks.length).toEqual(1);
+});

From 7a481e8a7b4ce10dac9250358c0cd19d56462015 Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Thu, 12 Sep 2024 13:17:09 -0700
Subject: [PATCH 170/344] chore(openai): Release 0.2.11 (#6748)

---
 libs/langchain-openai/package.json | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/libs/langchain-openai/package.json b/libs/langchain-openai/package.json
index 838728fad470..7655ffbd758d 100644
--- a/libs/langchain-openai/package.json
+++ b/libs/langchain-openai/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/openai",
-  "version": "0.2.10",
+  "version": "0.2.11",
   "description": "OpenAI integrations for LangChain.js",
   "type": "module",
   "engines": {

From e49aa947c8c1d7c6fe9eb0744caf42c8befe7bf1 Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Fri, 13 Sep 2024 10:10:22 -0700
Subject: [PATCH 171/344] docs: Update link (#6757)

---
 .../docs/mdx_components/integration_install_tooltip.mdx         | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/core_docs/docs/mdx_components/integration_install_tooltip.mdx b/docs/core_docs/docs/mdx_components/integration_install_tooltip.mdx
index 9187c8db4d87..ecb5c6560494 100644
--- a/docs/core_docs/docs/mdx_components/integration_install_tooltip.mdx
+++ b/docs/core_docs/docs/mdx_components/integration_install_tooltip.mdx
@@ -1,3 +1,3 @@
 :::tip
-See [this section for general instructions on installing integration packages](/docs/how_to/installation#installing-integration-packages).
+See [this section for general instructions on installing integration packages](/v0.2/docs/how_to/installation#installing-integration-packages).
 :::

From 8ae643d96ff89d267ee2b3ce93895cca2fe93562 Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Fri, 13 Sep 2024 13:32:11 -0700
Subject: [PATCH 172/344] refactor: Move langchain/core to a peer dep (#6698)

Co-authored-by: Brace Sproul <braceasproul@gmail.com>
Co-authored-by: Erick Friis <erick@langchain.dev>
---
 .github/DISCUSSION_TEMPLATE/q-a.yml           |    4 +-
 .github/ISSUE_TEMPLATE/bug-report.yml         |    4 +-
 .github/ISSUE_TEMPLATE/documentation.yml      |    4 +-
 .github/workflows/validate_new_notebooks.yml  |   11 +
 CONTRIBUTING.md                               |    2 +-
 README.md                                     |   18 +-
 cookbook/rag_fusion.ipynb                     |    2 +-
 .../node/update_resolutions_latest.js         |   17 +
 .../node/update_resolutions_lowest.js         |   30 +-
 .../langchain/test-with-latest-deps.sh        |   12 +
 .../langchain/test-with-lowest-deps.sh        |    4 +
 .../node/update_resolutions_latest.js         |   11 +
 .../node/update_resolutions_lowest.js         |   16 +-
 .../anthropic/test-with-latest-deps.sh        |    3 +
 .../anthropic/test-with-lowest-deps.sh        |   12 +-
 .../cohere/node/update_resolutions_latest.js  |   11 +
 .../cohere/node/update_resolutions_lowest.js  |   16 +-
 .../cohere/test-with-latest-deps.sh           |   19 +-
 .../cohere/test-with-lowest-deps.sh           |    6 +
 .../node/update_resolutions_latest.js         |   16 +
 .../node/update_resolutions_lowest.js         |   24 +-
 .../community/node/update_resolutions_npm.js  |   10 +
 .../community/npm-install.sh                  |   13 +
 .../community/test-with-latest-deps.sh        |   15 +
 .../community/test-with-lowest-deps.sh        |    6 +
 .../node/update_resolutions_latest.js         |   11 +
 .../node/update_resolutions_lowest.js         |   20 +-
 .../google-vertexai/test-with-latest-deps.sh  |   19 +-
 .../google-vertexai/test-with-lowest-deps.sh  |   10 +-
 .../node/update_workspace_dependencies.js     |    2 +-
 .../openai/node/update_resolutions_latest.js  |   11 +
 .../openai/node/update_resolutions_lowest.js  |   16 +-
 .../openai/test-with-latest-deps.sh           |   15 +
 .../openai/test-with-lowest-deps.sh           |    6 +
 docs/api_refs/scripts/create-entrypoints.js   |    2 +-
 docs/api_refs/scripts/typedoc-plugin.js       |    3 +-
 docs/core_docs/.gitignore                     |   28 +-
 docs/core_docs/docs/concepts.mdx              |   30 +-
 .../documentation/style_guide.mdx             |    2 +-
 .../docs/contributing/repo_structure.mdx      |    4 +-
 .../docs/how_to/agent_executor.ipynb          |   14 +-
 docs/core_docs/docs/how_to/assign.ipynb       |    4 +-
 docs/core_docs/docs/how_to/binding.ipynb      |   16 +-
 .../docs/how_to/caching_embeddings.mdx        |    2 +-
 ...nding.ipynb => callbacks_serverless.ipynb} |   62 +-
 .../docs/how_to/character_text_splitter.ipynb |    2 +-
 .../docs/how_to/chat_model_caching.mdx        |    2 +-
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 .../docs/how_to/chat_token_usage_tracking.mdx |    4 +-
 .../docs/how_to/chatbots_retrieval.ipynb      |   17 +-
 .../docs/how_to/chatbots_tools.ipynb          |    4 +-
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 .../docs/how_to/custom_callbacks.ipynb        |    2 +-
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 .../docs/how_to/document_loader_html.ipynb    |    4 +-
 .../how_to/document_loader_markdown.ipynb     |   16 +-
 docs/core_docs/docs/how_to/embed_text.mdx     |    2 +-
 .../how_to/example_selectors_langsmith.ipynb  |    2 +-
 .../how_to/example_selectors_similarity.mdx   |    2 +-
 .../docs/how_to/extraction_examples.ipynb     |    8 +-
 .../docs/how_to/extraction_long_text.ipynb    |    6 +-
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 .../docs/how_to/few_shot_examples.ipynb       |    6 +-
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 .../src/experimental/tools/pyinterpreter.ts   |    1 +
 .../tools/tests/pyinterpreter.int.test.ts     |    0
 .../src/llms/googlevertexai/common.ts         |  236 ---
 .../src/llms/googlevertexai/index.ts          |   66 -
 .../src/llms/googlevertexai/web.ts            |   66 -
 .../src/llms/tests/googlepalm.int.test.ts     |   32 -
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 .../src/llms/tests/googlevertexai.int.test.ts |   92 --
 .../llms/tests/googlevertexai_web.int.test.ts |   91 --
 .../src/load/import_constants.ts              |    9 +-
 .../src/load/import_type.ts                   |    1 -
 .../src/utils/googlevertexai-gauth.ts         |   38 -
 .../src/utils/googlevertexai-webauth.ts       |  119 --
 .../src/vectorstores/chroma.ts                |    3 +-
 .../src/vectorstores/supabase.ts              |    2 +-
 .../vectorstores/tests/convex/package.json    |    2 +-
 libs/langchain-exa/README.md                  |    2 +-
 libs/langchain-exa/package.json               |    5 +-
 libs/langchain-google-common/package.json     |    5 +-
 libs/langchain-google-common/src/llms.ts      |    6 +
 libs/langchain-google-gauth/package.json      |    5 +-
 .../src/tests/chat_models.int.test.ts         |    2 +-
 libs/langchain-google-genai/README.md         |   12 +-
 libs/langchain-google-genai/package.json      |    5 +-
 .../package.json                              |    5 +-
 .../src/chat_models.ts                        |    2 +
 .../langchain-google-vertexai-web/src/llms.ts |    2 +
 .../src/tests/chat_models.test.ts             |   14 +
 .../src/tests/llms.test.ts                    |   14 +
 libs/langchain-google-vertexai/package.json   |    5 +-
 .../src/chat_models.ts                        |    2 +
 libs/langchain-google-vertexai/src/llms.ts    |    2 +
 .../src/tests/chat_models.int.test.ts         |    2 +-
 .../src/tests/chat_models.test.ts             |   10 +
 .../src/tests/llms.test.ts                    |   10 +
 libs/langchain-google-webauth/package.json    |    5 +-
 .../src/tests/chat_models.int.test.ts         |    2 +-
 libs/langchain-groq/README.md                 |    2 +-
 libs/langchain-groq/package.json              |    5 +-
 libs/langchain-groq/src/chat_models.ts        |    2 +
 .../src/tests/chat_models.test.ts             |   12 +
 libs/langchain-mistralai/README.md            |   12 +-
 libs/langchain-mistralai/package.json         |    4 +
 libs/langchain-mistralai/src/chat_models.ts   |    2 +
 libs/langchain-mistralai/src/llms.ts          |   10 +
 .../src/tests/chat_models.test.ts             |   10 +
 .../src/tests/llms.test.ts                    |   10 +
 libs/langchain-mixedbread-ai/package.json     |    5 +-
 libs/langchain-mongodb/README.md              |   12 +-
 libs/langchain-mongodb/package.json           |    5 +-
 libs/langchain-nomic/README.md                |    2 +-
 libs/langchain-nomic/package.json             |    5 +-
 libs/langchain-ollama/README.md               |    2 +-
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 libs/langchain-openai/README.md               |   12 +-
 libs/langchain-openai/package.json            |    7 +-
 libs/langchain-openai/src/llms.ts             |    2 +-
 libs/langchain-openai/src/utils/tools.ts      |    6 +-
 libs/langchain-pinecone/README.md             |    2 +-
 libs/langchain-pinecone/package.json          |    5 +-
 libs/langchain-qdrant/package.json            |    5 +-
 libs/langchain-redis/README.md                |    2 +-
 libs/langchain-redis/package.json             |    5 +-
 libs/langchain-scripts/src/cli/docs/chat.ts   |    2 +-
 .../src/cli/docs/document_loaders.ts          |    2 +-
 .../src/cli/docs/kv_store.ts                  |    2 +-
 libs/langchain-scripts/src/cli/docs/llms.ts   |    2 +-
 .../src/cli/docs/retrievers.ts                |    2 +-
 .../src/cli/docs/templates/chat.ipynb         |    2 +-
 .../cli/docs/templates/document_loaders.ipynb |    2 +-
 .../src/cli/docs/templates/kv_store.ipynb     |    4 +-
 .../src/cli/docs/templates/llms.ipynb         |    2 +-
 .../src/cli/docs/templates/retrievers.ipynb   |    4 +-
 .../cli/docs/templates/text_embedding.ipynb   |    2 +-
 .../src/cli/docs/templates/toolkits.ipynb     |    2 +-
 .../src/cli/docs/templates/tools.ipynb        |    2 +-
 .../src/cli/docs/templates/vectorstores.ipynb |    2 +-
 .../src/cli/docs/vectorstores.ts              |    2 +-
 .../notebooks/check_notebook_type_errors.ts   |   10 +-
 .../src/tests/__mdx__/modules/index.mdx       |   30 +-
 .../src/tests/__mdx__/modules/two.mdx         |   30 +-
 libs/langchain-textsplitters/README.md        |    2 +-
 libs/langchain-textsplitters/package.json     |    7 +-
 libs/langchain-weaviate/README.md             |    2 +-
 libs/langchain-weaviate/package.json          |    7 +-
 libs/langchain-yandex/README.md               |    2 +-
 libs/langchain-yandex/package.json            |    5 +-
 yarn.lock                                     | 1353 ++++++++++------
 665 files changed, 2739 insertions(+), 19703 deletions(-)
 create mode 100644 dependency_range_tests/scripts/langchain/node/update_resolutions_latest.js
 create mode 100644 dependency_range_tests/scripts/with_standard_tests/anthropic/node/update_resolutions_latest.js
 create mode 100644 dependency_range_tests/scripts/with_standard_tests/cohere/node/update_resolutions_latest.js
 create mode 100644 dependency_range_tests/scripts/with_standard_tests/community/node/update_resolutions_latest.js
 create mode 100644 dependency_range_tests/scripts/with_standard_tests/community/node/update_resolutions_npm.js
 create mode 100644 dependency_range_tests/scripts/with_standard_tests/google-vertexai/node/update_resolutions_latest.js
 create mode 100644 dependency_range_tests/scripts/with_standard_tests/openai/node/update_resolutions_latest.js
 rename docs/core_docs/docs/how_to/{callbacks_backgrounding.ipynb => callbacks_serverless.ipynb} (57%)
 delete mode 100644 docs/core_docs/docs/integrations/chat/anthropic_tools.mdx
 delete mode 100644 docs/core_docs/docs/integrations/chat/google_palm.mdx
 delete mode 100644 docs/core_docs/docs/integrations/llms/google_palm.mdx
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 delete mode 100644 examples/src/llms/googlevertexai-code-bison_legacy.ts
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 delete mode 100644 examples/src/llms/googlevertexai_legacy.ts
 delete mode 100644 examples/src/models/chat/integration_googlepalm.ts
 delete mode 100644 examples/src/models/chat/integration_googlevertexai-examples_legacy.ts
 delete mode 100644 examples/src/models/chat/integration_googlevertexai-streaming_legacy.ts
 delete mode 100644 examples/src/models/chat/integration_googlevertexai_legacy.ts
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 delete mode 100644 examples/src/models/embeddings/googlevertexai.ts
 delete mode 100644 examples/src/models/llm/googlepalm.ts
 delete mode 100644 langchain/src/document_loaders/fs/chatgpt.ts
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 delete mode 100644 langchain/src/document_loaders/tests/college_confidential.int.test.ts
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 delete mode 100644 langchain/src/document_loaders/tests/couchbase.int.test.ts
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 delete mode 100644 langchain/src/document_loaders/tests/epub.test.ts
 delete mode 100644 langchain/src/document_loaders/tests/example_data/1706.03762.pdf
 delete mode 100644 langchain/src/document_loaders/tests/example_data/Jacob_Lee_Resume_2023.pdf
 delete mode 100644 langchain/src/document_loaders/tests/example_data/Star_Wars_The_Clone_Wars_S06E07_Crisis_at_the_Heart.csv
 delete mode 100644 langchain/src/document_loaders/tests/example_data/Star_Wars_The_Clone_Wars_S06E07_Crisis_at_the_Heart.srt
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 delete mode 100644 langchain/src/document_loaders/tests/example_data/github_api_responses.ts
 delete mode 100644 langchain/src/document_loaders/tests/example_data/notion/notion.md
 delete mode 100644 langchain/src/document_loaders/tests/example_data/notion_api/notion_database_response.json
 delete mode 100644 langchain/src/document_loaders/tests/example_data/notion_api/notion_page_response.json
 delete mode 100644 langchain/src/document_loaders/tests/example_data/obsidian/bad_frontmatter.md
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 delete mode 100644 langchain/src/document_loaders/tests/example_data/obsidian/tags_and_frontmatter.md
 delete mode 100644 langchain/src/document_loaders/tests/example_data/theikuntest.pptx
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 delete mode 100644 langchain/src/document_loaders/tests/firecrawl.int.test.ts
 delete mode 100644 langchain/src/document_loaders/tests/gitbook.int.test.ts
 delete mode 100644 langchain/src/document_loaders/tests/github.int.test.ts
 delete mode 100644 langchain/src/document_loaders/tests/github.test.ts
 delete mode 100644 langchain/src/document_loaders/tests/hn.int.test.ts
 delete mode 100644 langchain/src/document_loaders/tests/imsdb.test.ts
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 delete mode 100644 langchain/src/document_loaders/tests/notionapi.test.ts
 delete mode 100644 langchain/src/document_loaders/tests/notiondb.int.test.ts
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 delete mode 100644 langchain/src/document_loaders/tests/pdf.test.ts
 delete mode 100644 langchain/src/document_loaders/tests/playwright_web.int.test.ts
 delete mode 100644 langchain/src/document_loaders/tests/pptx.test.ts
 delete mode 100644 langchain/src/document_loaders/tests/puppeteer.int.test.ts
 delete mode 100644 langchain/src/document_loaders/tests/recursive_url.int.test.ts
 delete mode 100644 langchain/src/document_loaders/tests/s3.int.test.ts
 delete mode 100644 langchain/src/document_loaders/tests/searchapi.test.ts
 delete mode 100644 langchain/src/document_loaders/tests/serpapi.test.ts
 delete mode 100644 langchain/src/document_loaders/tests/sitemap.int.test.ts
 delete mode 100644 langchain/src/document_loaders/tests/sonix_audio.int.test.ts
 delete mode 100644 langchain/src/document_loaders/tests/sort_xyz_blockchain.int.test.ts
 delete mode 100644 langchain/src/document_loaders/tests/srt-blob.test.ts
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 delete mode 100644 langchain/src/document_loaders/tests/webpdf.int.test.ts
 delete mode 100644 langchain/src/document_loaders/web/apify_dataset.ts
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 delete mode 100644 langchain/src/document_loaders/web/azure_blob_storage_container.ts
 delete mode 100644 langchain/src/document_loaders/web/azure_blob_storage_file.ts
 delete mode 100644 langchain/src/document_loaders/web/browserbase.ts
 delete mode 100644 langchain/src/document_loaders/web/cheerio.ts
 delete mode 100644 langchain/src/document_loaders/web/college_confidential.ts
 delete mode 100644 langchain/src/document_loaders/web/confluence.ts
 delete mode 100644 langchain/src/document_loaders/web/couchbase.ts
 delete mode 100644 langchain/src/document_loaders/web/figma.ts
 delete mode 100644 langchain/src/document_loaders/web/firecrawl.ts
 delete mode 100644 langchain/src/document_loaders/web/gitbook.ts
 delete mode 100644 langchain/src/document_loaders/web/github.ts
 delete mode 100644 langchain/src/document_loaders/web/hn.ts
 delete mode 100644 langchain/src/document_loaders/web/imsdb.ts
 delete mode 100644 langchain/src/document_loaders/web/notionapi.ts
 delete mode 100644 langchain/src/document_loaders/web/notiondb.ts
 delete mode 100644 langchain/src/document_loaders/web/pdf.ts
 delete mode 100644 langchain/src/document_loaders/web/playwright.ts
 delete mode 100644 langchain/src/document_loaders/web/puppeteer.ts
 delete mode 100644 langchain/src/document_loaders/web/recursive_url.ts
 delete mode 100644 langchain/src/document_loaders/web/s3.ts
 delete mode 100644 langchain/src/document_loaders/web/searchapi.ts
 delete mode 100644 langchain/src/document_loaders/web/serpapi.ts
 delete mode 100644 langchain/src/document_loaders/web/sitemap.ts
 delete mode 100644 langchain/src/document_loaders/web/sonix_audio.ts
 delete mode 100644 langchain/src/document_loaders/web/sort_xyz_blockchain.ts
 delete mode 100644 langchain/src/document_loaders/web/youtube.ts
 delete mode 100644 langchain/src/retrievers/self_query/chroma.ts
 delete mode 100644 langchain/src/retrievers/self_query/pinecone.ts
 delete mode 100644 langchain/src/retrievers/self_query/supabase.ts
 delete mode 100644 langchain/src/retrievers/self_query/supabase_utils.ts
 delete mode 100644 langchain/src/retrievers/self_query/vectara.ts
 delete mode 100644 langchain/src/retrievers/self_query/weaviate.ts
 delete mode 100644 langchain/src/types/assemblyai-types.ts
 delete mode 100644 libs/langchain-community/src/chat_models/googlevertexai/common.ts
 delete mode 100644 libs/langchain-community/src/chat_models/googlevertexai/index.ts
 delete mode 100644 libs/langchain-community/src/chat_models/googlevertexai/web.ts
 delete mode 100644 libs/langchain-community/src/chat_models/tests/chatgooglepalm.int.test.ts
 delete mode 100644 libs/langchain-community/src/chat_models/tests/chatgooglepalm.test.ts
 delete mode 100644 libs/langchain-community/src/chat_models/tests/chatgooglevertexai.int.test.ts
 delete mode 100644 libs/langchain-community/src/chat_models/tests/chatgooglevertexai.test.ts
 delete mode 100644 libs/langchain-community/src/chat_models/tests/chatgooglevertexai_web.int.test.ts
 delete mode 100644 libs/langchain-community/src/chat_models/tests/chatgooglevertexai_web.test.ts
 delete mode 100644 libs/langchain-community/src/embeddings/googlepalm.ts
 delete mode 100644 libs/langchain-community/src/embeddings/googlevertexai.ts
 delete mode 100644 libs/langchain-community/src/embeddings/tests/googlepalm.int.test.ts
 delete mode 100644 libs/langchain-community/src/embeddings/tests/googlevertexai.int.test.ts
 rename libs/langchain-community/src/{chat_models/googlepalm.ts => experimental/hubs/makersuite/chat_models.ts} (100%)
 rename libs/langchain-community/src/{llms/googlepalm.ts => experimental/hubs/makersuite/llms.ts} (100%)
 rename {langchain => libs/langchain-community}/src/experimental/tools/pyinterpreter.ts (98%)
 rename {langchain => libs/langchain-community}/src/experimental/tools/tests/pyinterpreter.int.test.ts (100%)
 delete mode 100644 libs/langchain-community/src/llms/googlevertexai/common.ts
 delete mode 100644 libs/langchain-community/src/llms/googlevertexai/index.ts
 delete mode 100644 libs/langchain-community/src/llms/googlevertexai/web.ts
 delete mode 100644 libs/langchain-community/src/llms/tests/googlepalm.int.test.ts
 delete mode 100644 libs/langchain-community/src/llms/tests/googlepalm.test.ts
 delete mode 100644 libs/langchain-community/src/llms/tests/googlevertexai.int.test.ts
 delete mode 100644 libs/langchain-community/src/llms/tests/googlevertexai_web.int.test.ts
 delete mode 100644 libs/langchain-community/src/utils/googlevertexai-gauth.ts
 delete mode 100644 libs/langchain-community/src/utils/googlevertexai-webauth.ts
 create mode 100644 libs/langchain-google-vertexai-web/src/tests/chat_models.test.ts
 create mode 100644 libs/langchain-google-vertexai-web/src/tests/llms.test.ts
 create mode 100644 libs/langchain-google-vertexai/src/tests/chat_models.test.ts
 create mode 100644 libs/langchain-google-vertexai/src/tests/llms.test.ts
 create mode 100644 libs/langchain-groq/src/tests/chat_models.test.ts
 create mode 100644 libs/langchain-mistralai/src/tests/llms.test.ts

diff --git a/.github/DISCUSSION_TEMPLATE/q-a.yml b/.github/DISCUSSION_TEMPLATE/q-a.yml
index 69112bbcddc1..383adfa0f68b 100644
--- a/.github/DISCUSSION_TEMPLATE/q-a.yml
+++ b/.github/DISCUSSION_TEMPLATE/q-a.yml
@@ -21,8 +21,8 @@ body:
         Relevant links to check before opening a question to see if your question has already been answered, fixed or
         if there's another way to solve your problem:
         
-        [LangChain.js documentation with the integrated search](https://js.langchain.com/v0.2/docs/introduction),
-        [API Reference](https://v02.api.js.langchain.com/),
+        [LangChain.js documentation with the integrated search](https://js.langchain.com/docs/introduction),
+        [API Reference](https://api.js.langchain.com/),
         [GitHub search](https://github.com/langchain-ai/langchainjs),
         [LangChain.js Github Discussions](https://github.com/langchain-ai/langchainjs/discussions),
         [LangChain.js Github Issues](https://github.com/langchain-ai/langchainjs/issues?q=is%3Aissue),
diff --git a/.github/ISSUE_TEMPLATE/bug-report.yml b/.github/ISSUE_TEMPLATE/bug-report.yml
index 169d0fcf84b7..b1063e54b46b 100644
--- a/.github/ISSUE_TEMPLATE/bug-report.yml
+++ b/.github/ISSUE_TEMPLATE/bug-report.yml
@@ -15,8 +15,8 @@ body:
         Relevant links to check before filing a bug report to see if your issue has already been reported, fixed or
         if there's another way to solve your problem:
         
-        [LangChain.js documentation with the integrated search](https://js.langchain.com/v0.2/docs/introduction),
-        [API Reference](https://v02.api.js.langchain.com/),
+        [LangChain.js documentation with the integrated search](https://js.langchain.com/docs/introduction),
+        [API Reference](https://api.js.langchain.com/),
         [GitHub search](https://github.com/langchain-ai/langchainjs),
         [LangChain.js Github Discussions](https://github.com/langchain-ai/langchainjs/discussions),
         [LangChain.js Github Issues](https://github.com/langchain-ai/langchainjs/issues?q=is%3Aissue),
diff --git a/.github/ISSUE_TEMPLATE/documentation.yml b/.github/ISSUE_TEMPLATE/documentation.yml
index 5944f3e2bdf5..35ada1d22652 100644
--- a/.github/ISSUE_TEMPLATE/documentation.yml
+++ b/.github/ISSUE_TEMPLATE/documentation.yml
@@ -20,8 +20,8 @@ body:
       If you're in the wrong place, here are some helpful links to find a better
       place to ask your question:
       
-      [LangChain.js documentation with the integrated search](https://js.langchain.com/v0.2/docs/introduction),
-      [API Reference](https://v02.api.js.langchain.com/),
+      [LangChain.js documentation with the integrated search](https://js.langchain.com/docs/introduction),
+      [API Reference](https://api.js.langchain.com/),
       [GitHub search](https://github.com/langchain-ai/langchainjs),
       [LangChain.js Github Discussions](https://github.com/langchain-ai/langchainjs/discussions),
       [LangChain.js Github Issues](https://github.com/langchain-ai/langchainjs/issues?q=is%3Aissue),
diff --git a/.github/workflows/validate_new_notebooks.yml b/.github/workflows/validate_new_notebooks.yml
index d61b7ab9ec77..2d3580464fe6 100644
--- a/.github/workflows/validate_new_notebooks.yml
+++ b/.github/workflows/validate_new_notebooks.yml
@@ -50,10 +50,21 @@ jobs:
         run: |
           notebooks=$(echo '${{ steps.changed-files.outputs.all_changed_files }}' | tr ' ' '\n' | grep '^docs/core_docs/.*\.ipynb$' || true)
           if [ -n "$notebooks" ]; then
+            failed_notebooks=()
             for notebook in $notebooks; do
               absolute_path="$GITHUB_WORKSPACE/$notebook"
+              set +e
               yarn workspace @langchain/scripts notebook_validate "$absolute_path"
+              if [ $? -ne 0 ]; then
+                failed_notebooks+=("$notebook")
+              fi
+              set -e
             done
+            if [ ${#failed_notebooks[@]} -ne 0 ]; then
+              echo "The following notebooks failed validation:"
+              printf '%s\n' "${failed_notebooks[@]}"
+              exit 1
+            fi
           else
             echo "No notebooks in docs/core_docs to validate."
           fi
diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md
index a45a37c2e606..5b49049e637a 100644
--- a/CONTRIBUTING.md
+++ b/CONTRIBUTING.md
@@ -25,7 +25,7 @@ LangChain supports several different types of integrations with third-party prov
 
 We welcome such contributions, but ask that you read our dedicated [integration contribution guide](https://github.com/langchain-ai/langchainjs/blob/main/.github/contributing/INTEGRATIONS.md) for specific details and patterns to consider before opening a pull request.
 
-You can also check out the [guides on extending LangChain.js](https://js.langchain.com/v0.2/docs/how_to/#custom) in our docs.
+You can also check out the [guides on extending LangChain.js](https://js.langchain.com/docs/how_to/#custom) in our docs.
 
 #### Integration packages
 
diff --git a/README.md b/README.md
index bcf98e556a10..988669952b12 100644
--- a/README.md
+++ b/README.md
@@ -34,10 +34,10 @@ LangChain is written in TypeScript and can be used in:
 - **Reason**: rely on a language model to reason (about how to answer based on provided context, what actions to take, etc.)
 
 This framework consists of several parts.
-- **Open-source libraries**: Build your applications using LangChain's open-source [building blocks](https://js.langchain.com/v0.2/docs/concepts#langchain-expression-language), [components](https://js.langchain.com/v0.2/docs/concepts), and [third-party integrations](https://js.langchain.com/v0.2/docs/integrations/platforms/).
-Use [LangGraph.js](https://js.langchain.com/v0.2/docs/concepts/#langgraphjs) to build stateful agents with first-class streaming and human-in-the-loop support.
+- **Open-source libraries**: Build your applications using LangChain's open-source [building blocks](https://js.langchain.com/docs/concepts#langchain-expression-language), [components](https://js.langchain.com/docs/concepts), and [third-party integrations](https://js.langchain.com/docs/integrations/platforms/).
+Use [LangGraph.js](https://js.langchain.com/docs/concepts/#langgraphjs) to build stateful agents with first-class streaming and human-in-the-loop support.
 - **Productionization**: Use [LangSmith](https://docs.smith.langchain.com/) to inspect, monitor and evaluate your chains, so that you can continuously optimize and deploy with confidence.
-- **Deployment**: Turn your LangGraph applications into production-ready APIs and Assistants with [LangGraph Cloud](https://langchain-ai.github.io/langgraph/cloud/) (currently Python-only).
+- **Deployment**: Turn your LangGraph applications into production-ready APIs and Assistants with [LangGraph Cloud](https://langchain-ai.github.io/langgraph/cloud/).
 
 The LangChain libraries themselves are made up of several different packages.
 - **[`@langchain/core`](https://github.com/langchain-ai/langchainjs/blob/main/langchain-core)**: Base abstractions and LangChain Expression Language.
@@ -53,12 +53,12 @@ This library aims to assist in the development of those types of applications. C
 
 **❓Question Answering over specific documents**
 
-- [Documentation](https://js.langchain.com/v0.2/docs/tutorials/rag/)
+- [Documentation](https://js.langchain.com/docs/tutorials/rag/)
 - End-to-end Example: [Doc-Chatbot](https://github.com/dissorial/doc-chatbot)
 
 **💬 Chatbots**
 
-- [Documentation](https://js.langchain.com/v0.2/docs/tutorials/chatbot)
+- [Documentation](https://js.langchain.com/docs/tutorials/chatbot)
 - End-to-end Example: [Chat-LangChain](https://github.com/langchain-ai/chat-langchain)
 
 ## 🚀 How does LangChain help?
@@ -81,15 +81,15 @@ Data Augmented Generation involves specific types of chains that first interact
 
 **🤖 Agents:**
 
-Agents allow an LLM autonomy over how a task is accomplished. Agents make decisions about which Actions to take, then take that Action, observe the result, and repeat until the task is complete. LangChain provides a [standard interface for agents](https://js.langchain.com/v0.2/docs/concepts/#agents), along with [LangGraph.js](https://github.com/langchain-ai/langgraphjs/) for building custom agents.
+Agents allow an LLM autonomy over how a task is accomplished. Agents make decisions about which Actions to take, then take that Action, observe the result, and repeat until the task is complete. LangChain provides a [standard interface for agents](https://js.langchain.com/docs/concepts/#agents), along with [LangGraph.js](https://github.com/langchain-ai/langgraphjs/) for building custom agents.
 
 ## 📖 Documentation
 
 Please see [here](https://js.langchain.com) for full documentation, which includes:
 
-- [Getting started](https://js.langchain.com/v0.2/docs/introduction): installation, setting up the environment, simple examples
-- Overview of the [interfaces](https://js.langchain.com/v0.2/docs/how_to/lcel_cheatsheet/), [modules](https://js.langchain.com/v0.2/docs/concepts) and [integrations](https://js.langchain.com/v0.2/docs/integrations/platforms/)
-- [Tutorial](https://js.langchain.com/v0.2/docs/tutorials/) walkthroughs
+- [Getting started](https://js.langchain.com/docs/introduction): installation, setting up the environment, simple examples
+- Overview of the [interfaces](https://js.langchain.com/docs/how_to/lcel_cheatsheet/), [modules](https://js.langchain.com/docs/concepts) and [integrations](https://js.langchain.com/docs/integrations/platforms/)
+- [Tutorial](https://js.langchain.com/docs/tutorials/) walkthroughs
 - [Reference](https://api.js.langchain.com): full API docs
 
 ## 💁 Contributing
diff --git a/cookbook/rag_fusion.ipynb b/cookbook/rag_fusion.ipynb
index 4ca55c2055bd..fe1587d5bea9 100644
--- a/cookbook/rag_fusion.ipynb
+++ b/cookbook/rag_fusion.ipynb
@@ -19,7 +19,7 @@
    "source": [
     "## Setup\n",
     "\n",
-    "For this example we'll use an in memory store as our vectorstore/retriever, and some fake data. You can swap out the vectorstore for your [preferred LangChain.js option](https://js.langchain.com/v0.2/docs/integrations/vectorstores) later.\n"
+    "For this example we'll use an in memory store as our vectorstore/retriever, and some fake data. You can swap out the vectorstore for your [preferred LangChain.js option](https://js.langchain.com/docs/integrations/vectorstores) later.\n"
    ]
   },
   {
diff --git a/dependency_range_tests/scripts/langchain/node/update_resolutions_latest.js b/dependency_range_tests/scripts/langchain/node/update_resolutions_latest.js
new file mode 100644
index 000000000000..ac3609e60a8a
--- /dev/null
+++ b/dependency_range_tests/scripts/langchain/node/update_resolutions_latest.js
@@ -0,0 +1,17 @@
+const fs = require("fs");
+
+const communityPackageJsonPath = "package.json";
+const currentPackageJson = JSON.parse(fs.readFileSync(communityPackageJsonPath));
+
+if (currentPackageJson.devDependencies["@langchain/core"]) {
+  delete currentPackageJson.devDependencies["@langchain/core"];
+  currentPackageJson.peerDependencies["@langchain/core"] = "latest";
+}
+
+// Stupid hack
+currentPackageJson.resolutions = {
+  ...currentPackageJson.resolutions,
+  "jackspeak": "2.1.1"
+};
+
+fs.writeFileSync(communityPackageJsonPath, JSON.stringify(currentPackageJson, null, 2));
diff --git a/dependency_range_tests/scripts/langchain/node/update_resolutions_lowest.js b/dependency_range_tests/scripts/langchain/node/update_resolutions_lowest.js
index 5712a8b5770c..badc28a30819 100644
--- a/dependency_range_tests/scripts/langchain/node/update_resolutions_lowest.js
+++ b/dependency_range_tests/scripts/langchain/node/update_resolutions_lowest.js
@@ -5,28 +5,24 @@ const communityPackageJsonPath = "package.json";
 
 const currentPackageJson = JSON.parse(fs.readFileSync(communityPackageJsonPath));
 
-if (currentPackageJson.dependencies["@langchain/core"] && !currentPackageJson.dependencies["@langchain/core"].includes("rc")) {
+if (currentPackageJson.peerDependencies["@langchain/core"] && !currentPackageJson.peerDependencies["@langchain/core"].includes("rc")) {
   const minVersion = semver.minVersion(
-    currentPackageJson.dependencies["@langchain/core"]
+    currentPackageJson.peerDependencies["@langchain/core"]
   ).version;
-  currentPackageJson.overrides = {
-    ...currentPackageJson.overrides,
-    "@langchain/core": minVersion,
-  };
-  currentPackageJson.dependencies = {
-    ...currentPackageJson.dependencies,
+  currentPackageJson.peerDependencies = {
+    ...currentPackageJson.peerDependencies,
     "@langchain/core": minVersion,
   };
 }
 
+if (currentPackageJson.devDependencies["@langchain/core"]) {
+  delete currentPackageJson.devDependencies["@langchain/core"];
+}
+
 if (currentPackageJson.dependencies["@langchain/openai"] && !currentPackageJson.dependencies["@langchain/openai"].includes("rc")) {
   const minVersion = semver.minVersion(
     currentPackageJson.dependencies["@langchain/openai"]
   ).version;
-  currentPackageJson.overrides = {
-    ...currentPackageJson.overrides,
-    "@langchain/openai": minVersion,
-  };
   currentPackageJson.dependencies = {
     ...currentPackageJson.dependencies,
     "@langchain/openai": minVersion,
@@ -37,14 +33,16 @@ if (currentPackageJson.dependencies["@langchain/textsplitters"] && !currentPacka
   const minVersion = semver.minVersion(
     currentPackageJson.dependencies["@langchain/textsplitters"]
   ).version;
-  currentPackageJson.overrides = {
-    ...currentPackageJson.overrides,
-    "@langchain/textsplitters": minVersion,
-  };
   currentPackageJson.dependencies = {
     ...currentPackageJson.dependencies,
     "@langchain/textsplitters": minVersion,
   };
 }
 
+// Stupid hack
+currentPackageJson.resolutions = {
+  ...currentPackageJson.resolutions,
+  "jackspeak": "2.1.1"
+};
+
 fs.writeFileSync(communityPackageJsonPath, JSON.stringify(currentPackageJson, null, 2));
diff --git a/dependency_range_tests/scripts/langchain/test-with-latest-deps.sh b/dependency_range_tests/scripts/langchain/test-with-latest-deps.sh
index ca79988c4346..4488c5710cb7 100644
--- a/dependency_range_tests/scripts/langchain/test-with-latest-deps.sh
+++ b/dependency_range_tests/scripts/langchain/test-with-latest-deps.sh
@@ -10,7 +10,19 @@ shopt -s extglob
 # avoid copying build artifacts from the host
 cp -r ../langchain/!(node_modules|dist|dist-cjs|dist-esm|build|.next|.turbo) ./
 
+mkdir -p /updater_script
+cp -r /scripts/langchain/node/!(node_modules|dist|dist-cjs|dist-esm|build|.next|.turbo) /updater_script/
+
+cd /updater_script
+
+yarn
+
+cd /app
+
+node /updater_script/update_resolutions_latest.js
+
 yarn
+yarn add @langchain/core
 
 # Check the test command completes successfully
 NODE_OPTIONS=--experimental-vm-modules yarn run jest --testPathIgnorePatterns=\\.int\\.test.ts --testTimeout 30000 --maxWorkers=50%
diff --git a/dependency_range_tests/scripts/langchain/test-with-lowest-deps.sh b/dependency_range_tests/scripts/langchain/test-with-lowest-deps.sh
index e7f36a21cd01..36cf0443d9e1 100644
--- a/dependency_range_tests/scripts/langchain/test-with-lowest-deps.sh
+++ b/dependency_range_tests/scripts/langchain/test-with-lowest-deps.sh
@@ -21,7 +21,11 @@ cd /app
 
 node /updater_script/update_resolutions_lowest.js
 
+# Read the @langchain/core version from peerDependencies
+core_version=$(node -p "require('./package.json').peerDependencies['@langchain/core']")
+
 yarn
+yarn add @langchain/core@$core_version
 
 # Check the test command completes successfully
 NODE_OPTIONS=--experimental-vm-modules yarn run jest --testPathIgnorePatterns=\\.int\\.test.ts --testTimeout 30000 --maxWorkers=50%
diff --git a/dependency_range_tests/scripts/with_standard_tests/anthropic/node/update_resolutions_latest.js b/dependency_range_tests/scripts/with_standard_tests/anthropic/node/update_resolutions_latest.js
new file mode 100644
index 000000000000..2c2c9317d4db
--- /dev/null
+++ b/dependency_range_tests/scripts/with_standard_tests/anthropic/node/update_resolutions_latest.js
@@ -0,0 +1,11 @@
+const fs = require("fs");
+
+const communityPackageJsonPath = "/app/monorepo/libs/langchain-anthropic/package.json";
+const currentPackageJson = JSON.parse(fs.readFileSync(communityPackageJsonPath));
+
+if (currentPackageJson.devDependencies["@langchain/core"]) {
+  delete currentPackageJson.devDependencies["@langchain/core"];
+  currentPackageJson.peerDependencies["@langchain/core"] = "latest";
+}
+
+fs.writeFileSync(communityPackageJsonPath, JSON.stringify(currentPackageJson, null, 2));
diff --git a/dependency_range_tests/scripts/with_standard_tests/anthropic/node/update_resolutions_lowest.js b/dependency_range_tests/scripts/with_standard_tests/anthropic/node/update_resolutions_lowest.js
index d2ed5e7ac928..5500268dba0d 100644
--- a/dependency_range_tests/scripts/with_standard_tests/anthropic/node/update_resolutions_lowest.js
+++ b/dependency_range_tests/scripts/with_standard_tests/anthropic/node/update_resolutions_lowest.js
@@ -5,18 +5,18 @@ const communityPackageJsonPath = "/app/monorepo/libs/langchain-anthropic/package
 
 const currentPackageJson = JSON.parse(fs.readFileSync(communityPackageJsonPath));
 
-if (currentPackageJson.dependencies["@langchain/core"] && !currentPackageJson.dependencies["@langchain/core"].includes("rc")) {
+if (currentPackageJson.peerDependencies["@langchain/core"] && !currentPackageJson.peerDependencies["@langchain/core"].includes("rc")) {
   const minVersion = semver.minVersion(
-    currentPackageJson.dependencies["@langchain/core"]
+    currentPackageJson.peerDependencies["@langchain/core"]
   ).version;
-  currentPackageJson.overrides = {
-    ...currentPackageJson.overrides,
-    "@langchain/core": minVersion,
-  };
-  currentPackageJson.dependencies = {
-    ...currentPackageJson.dependencies,
+  currentPackageJson.peerDependencies = {
+    ...currentPackageJson.peerDependencies,
     "@langchain/core": minVersion,
   };
 }
 
+if (currentPackageJson.devDependencies["@langchain/core"]) {
+  delete currentPackageJson.devDependencies["@langchain/core"];
+}
+
 fs.writeFileSync(communityPackageJsonPath, JSON.stringify(currentPackageJson, null, 2));
diff --git a/dependency_range_tests/scripts/with_standard_tests/anthropic/test-with-latest-deps.sh b/dependency_range_tests/scripts/with_standard_tests/anthropic/test-with-latest-deps.sh
index 80beb0a3568d..bcf32dfbaa9a 100644
--- a/dependency_range_tests/scripts/with_standard_tests/anthropic/test-with-latest-deps.sh
+++ b/dependency_range_tests/scripts/with_standard_tests/anthropic/test-with-latest-deps.sh
@@ -23,6 +23,7 @@ cd "$updater_script_dir"
 # Update any workspace dep to the latest version since not all workspaces are
 # available in the test enviroment.
 node "update_workspace_deps.js"
+node "update_resolutions_latest.js"
 
 # Navigate back to monorepo root and install dependencies
 cd "$monorepo_dir"
@@ -32,4 +33,6 @@ yarn
 # We need to run inside the anthropic directory so turbo repo does
 # not try to build the package/its workspace dependencies.
 cd "$monorepo_anthropic_dir"
+
+yarn add @langchain/core
 yarn test
diff --git a/dependency_range_tests/scripts/with_standard_tests/anthropic/test-with-lowest-deps.sh b/dependency_range_tests/scripts/with_standard_tests/anthropic/test-with-lowest-deps.sh
index 0ae8ac11503b..11eae9e21a80 100644
--- a/dependency_range_tests/scripts/with_standard_tests/anthropic/test-with-lowest-deps.sh
+++ b/dependency_range_tests/scripts/with_standard_tests/anthropic/test-with-lowest-deps.sh
@@ -5,7 +5,7 @@ set -euxo pipefail
 export CI=true
 
 monorepo_dir="/app/monorepo"
-monorepo_openai_dir="/app/monorepo/libs/langchain-anthropic"
+monorepo_anthropic_dir="/app/monorepo/libs/langchain-anthropic"
 updater_script_dir="/app/updater_script"
 original_updater_script_dir="/scripts/with_standard_tests/anthropic/node"
 
@@ -20,8 +20,8 @@ cp "$original_updater_script_dir"/* "$updater_script_dir/"
 cd "$updater_script_dir"
 yarn
 # Run the updater script
-node "update_resolutions_lowest.js"
 node "update_workspace_deps.js"
+node "update_resolutions_lowest.js"
 
 # Navigate back to monorepo root and install dependencies
 cd "$monorepo_dir"
@@ -30,5 +30,11 @@ yarn
 # Navigate into `@langchain/anthropic` to build and run tests
 # We need to run inside the package directory so turbo repo does
 # not try to build the package/its workspace dependencies.
-cd "$monorepo_openai_dir"
+cd "$monorepo_anthropic_dir"
+
+# Read the @langchain/core version from peerDependencies
+core_version=$(node -p "require('./package.json').peerDependencies['@langchain/core']")
+
+# Install @langchain/core at the specified version
+yarn add @langchain/core@$core_version
 yarn test
diff --git a/dependency_range_tests/scripts/with_standard_tests/cohere/node/update_resolutions_latest.js b/dependency_range_tests/scripts/with_standard_tests/cohere/node/update_resolutions_latest.js
new file mode 100644
index 000000000000..607a8d3298b6
--- /dev/null
+++ b/dependency_range_tests/scripts/with_standard_tests/cohere/node/update_resolutions_latest.js
@@ -0,0 +1,11 @@
+const fs = require("fs");
+
+const communityPackageJsonPath = "/app/monorepo/libs/langchain-cohere/package.json";
+const currentPackageJson = JSON.parse(fs.readFileSync(communityPackageJsonPath));
+
+if (currentPackageJson.devDependencies["@langchain/core"]) {
+  delete currentPackageJson.devDependencies["@langchain/core"];
+  currentPackageJson.peerDependencies["@langchain/core"] = "latest";
+}
+
+fs.writeFileSync(communityPackageJsonPath, JSON.stringify(currentPackageJson, null, 2));
diff --git a/dependency_range_tests/scripts/with_standard_tests/cohere/node/update_resolutions_lowest.js b/dependency_range_tests/scripts/with_standard_tests/cohere/node/update_resolutions_lowest.js
index 4f349584032b..10b1cc7160e7 100644
--- a/dependency_range_tests/scripts/with_standard_tests/cohere/node/update_resolutions_lowest.js
+++ b/dependency_range_tests/scripts/with_standard_tests/cohere/node/update_resolutions_lowest.js
@@ -5,18 +5,18 @@ const communityPackageJsonPath = "/app/monorepo/libs/langchain-cohere/package.js
 
 const currentPackageJson = JSON.parse(fs.readFileSync(communityPackageJsonPath));
 
-if (currentPackageJson.dependencies["@langchain/core"] && !currentPackageJson.dependencies["@langchain/core"].includes("rc")) {
+if (currentPackageJson.peerDependencies["@langchain/core"] && !currentPackageJson.peerDependencies["@langchain/core"].includes("rc")) {
   const minVersion = semver.minVersion(
-    currentPackageJson.dependencies["@langchain/core"]
+    currentPackageJson.peerDependencies["@langchain/core"]
   ).version;
-  currentPackageJson.overrides = {
-    ...currentPackageJson.overrides,
-    "@langchain/core": minVersion,
-  };
-  currentPackageJson.dependencies = {
-    ...currentPackageJson.dependencies,
+  currentPackageJson.peerDependencies = {
+    ...currentPackageJson.peerDependencies,
     "@langchain/core": minVersion,
   };
 }
 
+if (currentPackageJson.devDependencies["@langchain/core"]) {
+  delete currentPackageJson.devDependencies["@langchain/core"];
+}
+
 fs.writeFileSync(communityPackageJsonPath, JSON.stringify(currentPackageJson, null, 2));
diff --git a/dependency_range_tests/scripts/with_standard_tests/cohere/test-with-latest-deps.sh b/dependency_range_tests/scripts/with_standard_tests/cohere/test-with-latest-deps.sh
index 0c7c23bd9793..24c5ccc872f8 100644
--- a/dependency_range_tests/scripts/with_standard_tests/cohere/test-with-latest-deps.sh
+++ b/dependency_range_tests/scripts/with_standard_tests/cohere/test-with-latest-deps.sh
@@ -6,11 +6,24 @@ export CI=true
 
 # New monorepo directory paths
 monorepo_dir="/app/monorepo"
-monorepo_openai_dir="/app/monorepo/libs/langchain-cohere"
+monorepo_cohere_dir="/app/monorepo/libs/langchain-cohere"
+
+# Updater script will not live inside the monorepo
+updater_script_dir="/app/updater_script"
+
+# Original directory paths
+original_updater_script_dir="/scripts/with_standard_tests/cohere/node"
 
 # Run the shared script to copy all necessary folders/files
 bash /scripts/with_standard_tests/shared.sh cohere
 
+mkdir -p "$updater_script_dir"
+cp "$original_updater_script_dir"/* "$updater_script_dir/"
+cd "$updater_script_dir"
+# Update any workspace dep to the latest version since not all workspaces are
+# available in the test enviroment.
+node "update_resolutions_latest.js"
+
 # Navigate back to monorepo root and install dependencies
 cd "$monorepo_dir"
 yarn
@@ -18,5 +31,7 @@ yarn
 # Navigate into `@langchain/cohere` to build and run tests
 # We need to run inside the cohere directory so turbo repo does
 # not try to build the package/its workspace dependencies.
-cd "$monorepo_openai_dir"
+cd "$monorepo_cohere_dir"
+
+yarn add @langchain/core
 yarn test
diff --git a/dependency_range_tests/scripts/with_standard_tests/cohere/test-with-lowest-deps.sh b/dependency_range_tests/scripts/with_standard_tests/cohere/test-with-lowest-deps.sh
index 7ec4bc0c2d84..3868e0a9d6c0 100644
--- a/dependency_range_tests/scripts/with_standard_tests/cohere/test-with-lowest-deps.sh
+++ b/dependency_range_tests/scripts/with_standard_tests/cohere/test-with-lowest-deps.sh
@@ -32,4 +32,10 @@ yarn
 # We need to run inside the cohere directory so turbo repo does
 # not try to build the package/its workspace dependencies.
 cd "$monorepo_cohere_dir"
+
+# Read the @langchain/core version from peerDependencies
+core_version=$(node -p "require('./package.json').peerDependencies['@langchain/core']")
+
+# Install @langchain/core at the specified version
+yarn add @langchain/core@$core_version
 yarn test
diff --git a/dependency_range_tests/scripts/with_standard_tests/community/node/update_resolutions_latest.js b/dependency_range_tests/scripts/with_standard_tests/community/node/update_resolutions_latest.js
new file mode 100644
index 000000000000..6c143c486d54
--- /dev/null
+++ b/dependency_range_tests/scripts/with_standard_tests/community/node/update_resolutions_latest.js
@@ -0,0 +1,16 @@
+const fs = require("fs");
+
+const communityPackageJsonPath = "/app/monorepo/libs/langchain-community/package.json";
+const currentPackageJson = JSON.parse(fs.readFileSync(communityPackageJsonPath));
+
+if (currentPackageJson.devDependencies["@langchain/core"]) {
+  delete currentPackageJson.devDependencies["@langchain/core"];
+  currentPackageJson.peerDependencies["@langchain/core"] = "latest";
+}
+
+if (currentPackageJson.dependencies["@langchain/openai"]) {
+  delete currentPackageJson.dependencies["@langchain/openai"];
+  currentPackageJson.dependencies["@langchain/openai"] = "latest";
+}
+
+fs.writeFileSync(communityPackageJsonPath, JSON.stringify(currentPackageJson, null, 2));
diff --git a/dependency_range_tests/scripts/with_standard_tests/community/node/update_resolutions_lowest.js b/dependency_range_tests/scripts/with_standard_tests/community/node/update_resolutions_lowest.js
index b0da1629189e..791929cdca90 100644
--- a/dependency_range_tests/scripts/with_standard_tests/community/node/update_resolutions_lowest.js
+++ b/dependency_range_tests/scripts/with_standard_tests/community/node/update_resolutions_lowest.js
@@ -5,32 +5,32 @@ const communityPackageJsonPath = "/app/monorepo/libs/langchain-community/package
 
 const currentPackageJson = JSON.parse(fs.readFileSync(communityPackageJsonPath));
 
-if (currentPackageJson.dependencies["@langchain/core"] && !currentPackageJson.dependencies["@langchain/core"].includes("rc")) {
+if (currentPackageJson.peerDependencies["@langchain/core"] && !currentPackageJson.peerDependencies["@langchain/core"].includes("rc")) {
   const minVersion = semver.minVersion(
-    currentPackageJson.dependencies["@langchain/core"]
+    currentPackageJson.peerDependencies["@langchain/core"]
   ).version;
-  currentPackageJson.overrides = {
-    ...currentPackageJson.overrides,
-    "@langchain/core": minVersion,
-  };
-  currentPackageJson.dependencies = {
-    ...currentPackageJson.dependencies,
+  currentPackageJson.peerDependencies = {
+    ...currentPackageJson.peerDependencies,
     "@langchain/core": minVersion,
   };
 }
 
+if (currentPackageJson.devDependencies["@langchain/core"]) {
+  delete currentPackageJson.devDependencies["@langchain/core"];
+}
+
 if (currentPackageJson.dependencies["@langchain/openai"] && !currentPackageJson.dependencies["@langchain/openai"].includes("rc")) {
   const minVersion = semver.minVersion(
     currentPackageJson.dependencies["@langchain/openai"]
   ).version;
-  currentPackageJson.overrides = {
-    ...currentPackageJson.overrides,
-    "@langchain/openai": minVersion,
-  };
   currentPackageJson.dependencies = {
     ...currentPackageJson.dependencies,
     "@langchain/openai": minVersion,
   };
 }
 
+if (currentPackageJson.devDependencies["@langchain/openai"]) {
+  delete currentPackageJson.devDependencies["@langchain/openai"];
+}
+
 fs.writeFileSync(communityPackageJsonPath, JSON.stringify(currentPackageJson, null, 2));
diff --git a/dependency_range_tests/scripts/with_standard_tests/community/node/update_resolutions_npm.js b/dependency_range_tests/scripts/with_standard_tests/community/node/update_resolutions_npm.js
new file mode 100644
index 000000000000..9a80bc65bade
--- /dev/null
+++ b/dependency_range_tests/scripts/with_standard_tests/community/node/update_resolutions_npm.js
@@ -0,0 +1,10 @@
+const fs = require("fs");
+
+const communityPackageJsonPath = "/app/monorepo/libs/langchain-community/package.json";
+const currentPackageJson = JSON.parse(fs.readFileSync(communityPackageJsonPath));
+
+if (currentPackageJson.devDependencies["@langchain/core"]) {
+  delete currentPackageJson.devDependencies["@langchain/core"];
+}
+
+fs.writeFileSync(communityPackageJsonPath, JSON.stringify(currentPackageJson, null, 2));
diff --git a/dependency_range_tests/scripts/with_standard_tests/community/npm-install.sh b/dependency_range_tests/scripts/with_standard_tests/community/npm-install.sh
index c5294fe8eb2f..4e33fae2dd58 100644
--- a/dependency_range_tests/scripts/with_standard_tests/community/npm-install.sh
+++ b/dependency_range_tests/scripts/with_standard_tests/community/npm-install.sh
@@ -8,10 +8,23 @@ export CI=true
 monorepo_dir="/app/monorepo"
 monorepo_community_dir="/app/monorepo/libs/langchain-community"
 
+# Updater script will not live inside the monorepo
+updater_script_dir="/app/updater_script"
+
+# Original directory paths
+original_updater_script_dir="/scripts/with_standard_tests/community/node"
+
 # Run the shared script to copy all necessary folders/files
 bash /scripts/with_standard_tests/shared.sh community
 
+mkdir -p "$updater_script_dir"
+cp "$original_updater_script_dir"/* "$updater_script_dir/"
+cd "$updater_script_dir"
+
+node "update_resolutions_npm.js"
+
 # Navigate back to monorepo root and install dependencies
 cd "$monorepo_dir"
+npm install @langchain/core
 npm install
 
diff --git a/dependency_range_tests/scripts/with_standard_tests/community/test-with-latest-deps.sh b/dependency_range_tests/scripts/with_standard_tests/community/test-with-latest-deps.sh
index f7c65b71ac00..df63a38f8546 100644
--- a/dependency_range_tests/scripts/with_standard_tests/community/test-with-latest-deps.sh
+++ b/dependency_range_tests/scripts/with_standard_tests/community/test-with-latest-deps.sh
@@ -8,9 +8,22 @@ export CI=true
 monorepo_dir="/app/monorepo"
 monorepo_community_dir="/app/monorepo/libs/langchain-community"
 
+# Updater script will not live inside the monorepo
+updater_script_dir="/app/updater_script"
+
+# Original directory paths
+original_updater_script_dir="/scripts/with_standard_tests/community/node"
+
 # Run the shared script to copy all necessary folders/files
 bash /scripts/with_standard_tests/shared.sh community
 
+mkdir -p "$updater_script_dir"
+cp "$original_updater_script_dir"/* "$updater_script_dir/"
+cd "$updater_script_dir"
+# Update any workspace dep to the latest version since not all workspaces are
+# available in the test enviroment.
+node "update_resolutions_latest.js"
+
 # Navigate back to monorepo root and install dependencies
 cd "$monorepo_dir"
 yarn
@@ -19,4 +32,6 @@ yarn
 # We need to run inside the community directory so turbo repo does
 # not try to build the package/its workspace dependencies.
 cd "$monorepo_community_dir"
+
+yarn add @langchain/core
 yarn test
diff --git a/dependency_range_tests/scripts/with_standard_tests/community/test-with-lowest-deps.sh b/dependency_range_tests/scripts/with_standard_tests/community/test-with-lowest-deps.sh
index a96debf040b7..e6d70012a809 100644
--- a/dependency_range_tests/scripts/with_standard_tests/community/test-with-lowest-deps.sh
+++ b/dependency_range_tests/scripts/with_standard_tests/community/test-with-lowest-deps.sh
@@ -32,4 +32,10 @@ yarn
 # We need to run inside the package directory so turbo repo does
 # not try to build the package/its workspace dependencies.
 cd "$monorepo_community_dir"
+
+# Read the @langchain/core version from peerDependencies
+core_version=$(node -p "require('./package.json').peerDependencies['@langchain/core']")
+
+# Install @langchain/core at the specified version
+yarn add @langchain/core@$core_version
 yarn test
diff --git a/dependency_range_tests/scripts/with_standard_tests/google-vertexai/node/update_resolutions_latest.js b/dependency_range_tests/scripts/with_standard_tests/google-vertexai/node/update_resolutions_latest.js
new file mode 100644
index 000000000000..78c768cd15a1
--- /dev/null
+++ b/dependency_range_tests/scripts/with_standard_tests/google-vertexai/node/update_resolutions_latest.js
@@ -0,0 +1,11 @@
+const fs = require("fs");
+
+const communityPackageJsonPath = "/app/monorepo/libs/langchain-google-vertexai/package.json";
+const currentPackageJson = JSON.parse(fs.readFileSync(communityPackageJsonPath));
+
+if (currentPackageJson.devDependencies["@langchain/core"]) {
+  delete currentPackageJson.devDependencies["@langchain/core"];
+  currentPackageJson.peerDependencies["@langchain/core"] = "latest";
+}
+
+fs.writeFileSync(communityPackageJsonPath, JSON.stringify(currentPackageJson, null, 2));
diff --git a/dependency_range_tests/scripts/with_standard_tests/google-vertexai/node/update_resolutions_lowest.js b/dependency_range_tests/scripts/with_standard_tests/google-vertexai/node/update_resolutions_lowest.js
index a600da592199..91d3e5eab402 100644
--- a/dependency_range_tests/scripts/with_standard_tests/google-vertexai/node/update_resolutions_lowest.js
+++ b/dependency_range_tests/scripts/with_standard_tests/google-vertexai/node/update_resolutions_lowest.js
@@ -5,28 +5,24 @@ const communityPackageJsonPath = "/app/monorepo/libs/langchain-google-vertexai/p
 
 const currentPackageJson = JSON.parse(fs.readFileSync(communityPackageJsonPath));
 
-if (currentPackageJson.dependencies["@langchain/core"] && !currentPackageJson.dependencies["@langchain/core"].includes("rc")) {
+if (currentPackageJson.peerDependencies["@langchain/core"] && !currentPackageJson.peerDependencies["@langchain/core"].includes("rc")) {
   const minVersion = semver.minVersion(
-    currentPackageJson.dependencies["@langchain/core"]
+    currentPackageJson.peerDependencies["@langchain/core"]
   ).version;
-  currentPackageJson.overrides = {
-    ...currentPackageJson.overrides,
-    "@langchain/core": minVersion,
-  };
-  currentPackageJson.dependencies = {
-    ...currentPackageJson.dependencies,
+  currentPackageJson.peerDependencies = {
+    ...currentPackageJson.peerDependencies,
     "@langchain/core": minVersion,
   };
 }
 
+if (currentPackageJson.devDependencies["@langchain/core"]) {
+  delete currentPackageJson.devDependencies["@langchain/core"];
+}
+
 if (currentPackageJson.dependencies["@langchain/google-gauth"] && !currentPackageJson.dependencies["@langchain/google-gauth"].includes("rc")) {
   const minVersion = semver.minVersion(
     currentPackageJson.dependencies["@langchain/google-gauth"]
   ).version;
-  currentPackageJson.overrides = {
-    ...currentPackageJson.overrides,
-    "@langchain/google-gauth": minVersion,
-  };
   currentPackageJson.dependencies = {
     ...currentPackageJson.dependencies,
     "@langchain/google-gauth": minVersion,
diff --git a/dependency_range_tests/scripts/with_standard_tests/google-vertexai/test-with-latest-deps.sh b/dependency_range_tests/scripts/with_standard_tests/google-vertexai/test-with-latest-deps.sh
index 3d43d870e321..567366beb19e 100644
--- a/dependency_range_tests/scripts/with_standard_tests/google-vertexai/test-with-latest-deps.sh
+++ b/dependency_range_tests/scripts/with_standard_tests/google-vertexai/test-with-latest-deps.sh
@@ -6,11 +6,24 @@ export CI=true
 
 # New monorepo directory paths
 monorepo_dir="/app/monorepo"
-monorepo_openai_dir="/app/monorepo/libs/langchain-google-vertexai"
+monorepo_vertexai_dir="/app/monorepo/libs/langchain-google-vertexai"
+
+# Updater script will not live inside the monorepo
+updater_script_dir="/app/updater_script"
+
+# Original directory paths
+original_updater_script_dir="/scripts/with_standard_tests/google-vertexai/node"
 
 # Run the shared script to copy all necessary folders/files
 bash /scripts/with_standard_tests/shared.sh google-vertexai
 
+mkdir -p "$updater_script_dir"
+cp "$original_updater_script_dir"/* "$updater_script_dir/"
+cd "$updater_script_dir"
+# Update any workspace dep to the latest version since not all workspaces are
+# available in the test enviroment.
+node "update_resolutions_latest.js"
+
 # Navigate back to monorepo root and install dependencies
 cd "$monorepo_dir"
 yarn
@@ -18,5 +31,7 @@ yarn
 # Navigate into `@langchain/google-vertexai` to build and run tests
 # We need to run inside the google-vertexai directory so turbo repo does
 # not try to build the package/its workspace dependencies.
-cd "$monorepo_openai_dir"
+cd "$monorepo_vertexai_dir"
+
+yarn add @langchain/core @langchain/google-gauth
 yarn test
diff --git a/dependency_range_tests/scripts/with_standard_tests/google-vertexai/test-with-lowest-deps.sh b/dependency_range_tests/scripts/with_standard_tests/google-vertexai/test-with-lowest-deps.sh
index a8de92d9b983..23dcf3ba0d82 100644
--- a/dependency_range_tests/scripts/with_standard_tests/google-vertexai/test-with-lowest-deps.sh
+++ b/dependency_range_tests/scripts/with_standard_tests/google-vertexai/test-with-lowest-deps.sh
@@ -5,7 +5,7 @@ set -euxo pipefail
 export CI=true
 
 monorepo_dir="/app/monorepo"
-monorepo_openai_dir="/app/monorepo/libs/langchain-google-vertexai"
+monorepo_vertexai_dir="/app/monorepo/libs/langchain-google-vertexai"
 updater_script_dir="/app/updater_script"
 updater_script_dir="/app/updater_script"
 original_updater_script_dir="/scripts/with_standard_tests/google-vertexai/node"
@@ -31,5 +31,11 @@ yarn
 # Navigate into `@langchain/package` to build and run tests
 # We need to run inside the package directory so turbo repo does
 # not try to build the package/its workspace dependencies.
-cd "$monorepo_openai_dir"
+cd "$monorepo_vertexai_dir"
+
+# Read the @langchain/core version from peerDependencies
+core_version=$(node -p "require('./package.json').peerDependencies['@langchain/core']")
+
+# Install @langchain/core at the specified version
+yarn add @langchain/core@$core_version
 yarn test
diff --git a/dependency_range_tests/scripts/with_standard_tests/node/update_workspace_dependencies.js b/dependency_range_tests/scripts/with_standard_tests/node/update_workspace_dependencies.js
index 755700a9c749..2d769e5d0082 100644
--- a/dependency_range_tests/scripts/with_standard_tests/node/update_workspace_dependencies.js
+++ b/dependency_range_tests/scripts/with_standard_tests/node/update_workspace_dependencies.js
@@ -14,7 +14,7 @@ if (currentPackageJson.dependencies["@langchain/core"]) {
 if (currentPackageJson.devDependencies["@langchain/scripts"]) {
   currentPackageJson.devDependencies = {
     ...currentPackageJson.devDependencies,
-    "@langchain/scripts": "latest",
+    "@langchain/scripts": "*",
   };
 }
 
diff --git a/dependency_range_tests/scripts/with_standard_tests/openai/node/update_resolutions_latest.js b/dependency_range_tests/scripts/with_standard_tests/openai/node/update_resolutions_latest.js
new file mode 100644
index 000000000000..c402ea87ed7d
--- /dev/null
+++ b/dependency_range_tests/scripts/with_standard_tests/openai/node/update_resolutions_latest.js
@@ -0,0 +1,11 @@
+const fs = require("fs");
+
+const communityPackageJsonPath = "/app/monorepo/libs/langchain-openai/package.json";
+const currentPackageJson = JSON.parse(fs.readFileSync(communityPackageJsonPath));
+
+if (currentPackageJson.devDependencies["@langchain/core"]) {
+  delete currentPackageJson.devDependencies["@langchain/core"];
+  currentPackageJson.peerDependencies["@langchain/core"] = "latest";
+}
+
+fs.writeFileSync(communityPackageJsonPath, JSON.stringify(currentPackageJson, null, 2));
diff --git a/dependency_range_tests/scripts/with_standard_tests/openai/node/update_resolutions_lowest.js b/dependency_range_tests/scripts/with_standard_tests/openai/node/update_resolutions_lowest.js
index d54d62d708e7..ed5b19175245 100644
--- a/dependency_range_tests/scripts/with_standard_tests/openai/node/update_resolutions_lowest.js
+++ b/dependency_range_tests/scripts/with_standard_tests/openai/node/update_resolutions_lowest.js
@@ -5,18 +5,18 @@ const communityPackageJsonPath = "/app/monorepo/libs/langchain-openai/package.js
 
 const currentPackageJson = JSON.parse(fs.readFileSync(communityPackageJsonPath));
 
-if (currentPackageJson.dependencies["@langchain/core"] && !currentPackageJson.dependencies["@langchain/core"].includes("rc")) {
+if (currentPackageJson.peerDependencies["@langchain/core"] && !currentPackageJson.peerDependencies["@langchain/core"].includes("rc")) {
   const minVersion = semver.minVersion(
-    currentPackageJson.dependencies["@langchain/core"]
+    currentPackageJson.peerDependencies["@langchain/core"]
   ).version;
-  currentPackageJson.overrides = {
-    ...currentPackageJson.overrides,
-    "@langchain/core": minVersion,
-  };
-  currentPackageJson.dependencies = {
-    ...currentPackageJson.dependencies,
+  currentPackageJson.peerDependencies = {
+    ...currentPackageJson.peerDependencies,
     "@langchain/core": minVersion,
   };
 }
 
+if (currentPackageJson.devDependencies["@langchain/core"]) {
+  delete currentPackageJson.devDependencies["@langchain/core"];
+}
+
 fs.writeFileSync(communityPackageJsonPath, JSON.stringify(currentPackageJson, null, 2));
diff --git a/dependency_range_tests/scripts/with_standard_tests/openai/test-with-latest-deps.sh b/dependency_range_tests/scripts/with_standard_tests/openai/test-with-latest-deps.sh
index 69bb581e414a..2080ec786467 100644
--- a/dependency_range_tests/scripts/with_standard_tests/openai/test-with-latest-deps.sh
+++ b/dependency_range_tests/scripts/with_standard_tests/openai/test-with-latest-deps.sh
@@ -8,9 +8,22 @@ export CI=true
 monorepo_dir="/app/monorepo"
 monorepo_openai_dir="/app/monorepo/libs/langchain-openai"
 
+# Updater script will not live inside the monorepo
+updater_script_dir="/app/updater_script"
+
+# Original directory paths
+original_updater_script_dir="/scripts/with_standard_tests/openai/node"
+
 # Run the shared script to copy all necessary folders/files
 bash /scripts/with_standard_tests/shared.sh openai
 
+mkdir -p "$updater_script_dir"
+cp "$original_updater_script_dir"/* "$updater_script_dir/"
+cd "$updater_script_dir"
+# Update any workspace dep to the latest version since not all workspaces are
+# available in the test enviroment.
+node "update_resolutions_latest.js"
+
 # Navigate back to monorepo root and install dependencies
 cd "$monorepo_dir"
 yarn
@@ -19,4 +32,6 @@ yarn
 # We need to run inside the openai directory so turbo repo does
 # not try to build the package/its workspace dependencies.
 cd "$monorepo_openai_dir"
+
+yarn add @langchain/core
 yarn test
diff --git a/dependency_range_tests/scripts/with_standard_tests/openai/test-with-lowest-deps.sh b/dependency_range_tests/scripts/with_standard_tests/openai/test-with-lowest-deps.sh
index 91536708b13c..6f47d13e8aa1 100644
--- a/dependency_range_tests/scripts/with_standard_tests/openai/test-with-lowest-deps.sh
+++ b/dependency_range_tests/scripts/with_standard_tests/openai/test-with-lowest-deps.sh
@@ -32,4 +32,10 @@ yarn
 # We need to run inside the package directory so turbo repo does
 # not try to build the package/its workspace dependencies.
 cd "$monorepo_openai_dir"
+
+# Read the @langchain/core version from peerDependencies
+core_version=$(node -p "require('./package.json').peerDependencies['@langchain/core']")
+
+# Install @langchain/core at the specified version
+yarn add @langchain/core@$core_version
 yarn test
diff --git a/docs/api_refs/scripts/create-entrypoints.js b/docs/api_refs/scripts/create-entrypoints.js
index 6ffd4d34a056..9f51f27fa1b2 100644
--- a/docs/api_refs/scripts/create-entrypoints.js
+++ b/docs/api_refs/scripts/create-entrypoints.js
@@ -28,7 +28,7 @@ const BASE_TYPEDOC_CONFIG = {
   name: "LangChain.js",
   skipErrorChecking: true,
   exclude: ["dist"],
-  hostedBaseUrl: "https://v02.api.js.langchain.com/",
+  hostedBaseUrl: "https://v03.api.js.langchain.com/",
   entryPointStrategy: "packages",
 };
 
diff --git a/docs/api_refs/scripts/typedoc-plugin.js b/docs/api_refs/scripts/typedoc-plugin.js
index d3eae80196ab..b32db37d77d6 100644
--- a/docs/api_refs/scripts/typedoc-plugin.js
+++ b/docs/api_refs/scripts/typedoc-plugin.js
@@ -67,7 +67,8 @@ const SCRIPT_HTML = `<script>
 // Injected into each page's HTML to add a dropdown to switch between versions.
 const VERSION_DROPDOWN_HTML = `<div class="version-select">
 <select id="version-dropdown" onchange="window.location.href=this.value;">
-  <option selected value="">v0.2</option>
+  <option selected value="">v0.3</option>
+  <option value="https://v02.api.js.langchain.com/">v0.2</option>
   <option value="https://v01.api.js.langchain.com/">v0.1</option>
 </select>
 </div>`;
diff --git a/docs/core_docs/.gitignore b/docs/core_docs/.gitignore
index 305859f43ac6..5b3735122408 100644
--- a/docs/core_docs/.gitignore
+++ b/docs/core_docs/.gitignore
@@ -252,6 +252,10 @@ docs/integrations/toolkits/sql.md
 docs/integrations/toolkits/sql.mdx
 docs/integrations/toolkits/openapi.md
 docs/integrations/toolkits/openapi.mdx
+docs/integrations/stores/in_memory.md
+docs/integrations/stores/in_memory.mdx
+docs/integrations/stores/file_system.md
+docs/integrations/stores/file_system.mdx
 docs/integrations/text_embedding/togetherai.md
 docs/integrations/text_embedding/togetherai.mdx
 docs/integrations/text_embedding/openai.md
@@ -274,10 +278,6 @@ docs/integrations/text_embedding/bedrock.md
 docs/integrations/text_embedding/bedrock.mdx
 docs/integrations/text_embedding/azure_openai.md
 docs/integrations/text_embedding/azure_openai.mdx
-docs/integrations/stores/in_memory.md
-docs/integrations/stores/in_memory.mdx
-docs/integrations/stores/file_system.md
-docs/integrations/stores/file_system.mdx
 docs/integrations/retrievers/tavily.md
 docs/integrations/retrievers/tavily.mdx
 docs/integrations/retrievers/kendra-retriever.md
@@ -354,16 +354,6 @@ docs/integrations/retrievers/self_query/hnswlib.md
 docs/integrations/retrievers/self_query/hnswlib.mdx
 docs/integrations/retrievers/self_query/chroma.md
 docs/integrations/retrievers/self_query/chroma.mdx
-docs/integrations/document_loaders/file_loaders/unstructured.md
-docs/integrations/document_loaders/file_loaders/unstructured.mdx
-docs/integrations/document_loaders/file_loaders/text.md
-docs/integrations/document_loaders/file_loaders/text.mdx
-docs/integrations/document_loaders/file_loaders/pdf.md
-docs/integrations/document_loaders/file_loaders/pdf.mdx
-docs/integrations/document_loaders/file_loaders/directory.md
-docs/integrations/document_loaders/file_loaders/directory.mdx
-docs/integrations/document_loaders/file_loaders/csv.md
-docs/integrations/document_loaders/file_loaders/csv.mdx
 docs/integrations/document_loaders/web_loaders/web_puppeteer.md
 docs/integrations/document_loaders/web_loaders/web_puppeteer.mdx
 docs/integrations/document_loaders/web_loaders/web_cheerio.md
@@ -376,3 +366,13 @@ docs/integrations/document_loaders/web_loaders/langsmith.md
 docs/integrations/document_loaders/web_loaders/langsmith.mdx
 docs/integrations/document_loaders/web_loaders/firecrawl.md
 docs/integrations/document_loaders/web_loaders/firecrawl.mdx
+docs/integrations/document_loaders/file_loaders/unstructured.md
+docs/integrations/document_loaders/file_loaders/unstructured.mdx
+docs/integrations/document_loaders/file_loaders/text.md
+docs/integrations/document_loaders/file_loaders/text.mdx
+docs/integrations/document_loaders/file_loaders/pdf.md
+docs/integrations/document_loaders/file_loaders/pdf.mdx
+docs/integrations/document_loaders/file_loaders/directory.md
+docs/integrations/document_loaders/file_loaders/directory.mdx
+docs/integrations/document_loaders/file_loaders/csv.md
+docs/integrations/document_loaders/file_loaders/csv.mdx
diff --git a/docs/core_docs/docs/concepts.mdx b/docs/core_docs/docs/concepts.mdx
index e751a8db1e02..cc0282464339 100644
--- a/docs/core_docs/docs/concepts.mdx
+++ b/docs/core_docs/docs/concepts.mdx
@@ -26,6 +26,8 @@ The interfaces for core components like LLMs, vector stores, retrievers and more
 No third party integrations are defined here.
 The dependencies are kept purposefully very lightweight.
 
+This package is a requirement of most others in the LangChain ecosystem, and must be installed separately.
+
 ### `@langchain/community`
 
 This package contains third party integrations that are maintained by the LangChain community.
@@ -60,7 +62,7 @@ A developer platform that lets you debug, test, evaluate, and monitor LLM applic
 If you want to work with high level abstractions, you should install the `langchain` package.
 
 ```bash npm2yarn
-npm i langchain
+npm i langchain @langchain/core
 ```
 
 If you want to work with specific integrations, you will need to install them separately.
@@ -98,11 +100,7 @@ support for retries/fallbacks, so you can get the added reliability without any
 
 **Access intermediate results**
 For more complex chains it’s often very useful to access the results of intermediate steps even before the final output is produced. This can be used to let end-users know
-something is happening, or even just to debug your chain. You can stream intermediate results, and it’s available on every [LangServe](https://www.langchain.com/langserve/) server.
-
-**Input and output schemas**
-Input and output schemas give every LCEL chain schemas inferred from the structure of your chain. This can be used for validation of inputs and outputs,
-and is an integral part of LangServe.
+something is happening, or even just to debug your chain.
 
 [**Seamless LangSmith tracing**](https://docs.smith.langchain.com)
 As your chains get more and more complex, it becomes increasingly important to understand what exactly is happening at every step.
@@ -396,16 +394,16 @@ LangChain has many different types of output parsers. This is a list of output p
 
 **Description**: Our commentary on this output parser and when to use it.
 
-| Name                                                                                                              | Supports Streaming | Input Type                | Output Type                       | Description                                                                                                                                               |
-| ----------------------------------------------------------------------------------------------------------------- | ------------------ | ------------------------- | --------------------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------- |
-| [JSON](https://v02.api.js.langchain.com/classes/langchain_core.output_parsers.JsonOutputParser.html)              | ✅                 | `string` \| `BaseMessage` | `Promise<T>`                      | Returns a JSON object as specified. You can specify a Zod schema and it will return JSON for that model.                                                  |
-| [XML](https://v02.api.js.langchain.com/classes/langchain_core.output_parsers.XMLOutputParser.html)                | ✅                 | `string` \| `BaseMessage` | `Promise<XMLResult>`              | Returns a object of tags. Use when XML output is needed. Use with models that are good at writing XML (like Anthropic's).                                 |
-| [CSV](https://v02.api.js.langchain.com/classes/langchain_core.output_parsers.CommaSeparatedListOutputParser.html) | ✅                 | `string` \| `BaseMessage` | `Array[string]`                   | Returns an array of comma separated values.                                                                                                               |
-| [Structured](https://v02.api.js.langchain.com/classes/langchain_core.output_parsers.StructuredOutputParser.html)  |                    | `string` \| `BaseMessage` | `Promise<TypeOf<T>>`              | Parse structured JSON from an LLM response.                                                                                                               |
-| [HTTP](https://v02.api.js.langchain.com/classes/langchain.output_parsers.HttpResponseOutputParser.html)           | ✅                 | `string`                  | `Promise<Uint8Array>`             | Parse an LLM response to then send over HTTP(s). Useful when invoking the LLM on the server/edge, and then sending the content/stream back to the client. |
-| [Bytes](https://v02.api.js.langchain.com/classes/langchain_core.output_parsers.BytesOutputParser.html)            | ✅                 | `string` \| `BaseMessage` | `Promise<Uint8Array>`             | Parse an LLM response to then send over HTTP(s). Useful for streaming LLM responses from the server/edge to the client.                                   |
-| [Datetime](https://v02.api.js.langchain.com/classes/langchain.output_parsers.DatetimeOutputParser.html)           |                    | `string`                  | `Promise<Date>`                   | Parses response into a `Date`.                                                                                                                            |
-| [Regex](https://v02.api.js.langchain.com/classes/langchain.output_parsers.RegexParser.html)                       |                    | `string`                  | `Promise<Record<string, string>>` | Parses the given text using the regex pattern and returns a object with the parsed output.                                                                |
+| Name                                                                                                          | Supports Streaming | Input Type                | Output Type                       | Description                                                                                                                                               |
+| ------------------------------------------------------------------------------------------------------------- | ------------------ | ------------------------- | --------------------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------- |
+| [JSON](https://api.js.langchain.com/classes/langchain_core.output_parsers.JsonOutputParser.html)              | ✅                 | `string` \| `BaseMessage` | `Promise<T>`                      | Returns a JSON object as specified. You can specify a Zod schema and it will return JSON for that model.                                                  |
+| [XML](https://api.js.langchain.com/classes/langchain_core.output_parsers.XMLOutputParser.html)                | ✅                 | `string` \| `BaseMessage` | `Promise<XMLResult>`              | Returns a object of tags. Use when XML output is needed. Use with models that are good at writing XML (like Anthropic's).                                 |
+| [CSV](https://api.js.langchain.com/classes/langchain_core.output_parsers.CommaSeparatedListOutputParser.html) | ✅                 | `string` \| `BaseMessage` | `Array[string]`                   | Returns an array of comma separated values.                                                                                                               |
+| [Structured](https://api.js.langchain.com/classes/langchain_core.output_parsers.StructuredOutputParser.html)  |                    | `string` \| `BaseMessage` | `Promise<TypeOf<T>>`              | Parse structured JSON from an LLM response.                                                                                                               |
+| [HTTP](https://api.js.langchain.com/classes/langchain.output_parsers.HttpResponseOutputParser.html)           | ✅                 | `string`                  | `Promise<Uint8Array>`             | Parse an LLM response to then send over HTTP(s). Useful when invoking the LLM on the server/edge, and then sending the content/stream back to the client. |
+| [Bytes](https://api.js.langchain.com/classes/langchain_core.output_parsers.BytesOutputParser.html)            | ✅                 | `string` \| `BaseMessage` | `Promise<Uint8Array>`             | Parse an LLM response to then send over HTTP(s). Useful for streaming LLM responses from the server/edge to the client.                                   |
+| [Datetime](https://api.js.langchain.com/classes/langchain.output_parsers.DatetimeOutputParser.html)           |                    | `string`                  | `Promise<Date>`                   | Parses response into a `Date`.                                                                                                                            |
+| [Regex](https://api.js.langchain.com/classes/langchain.output_parsers.RegexParser.html)                       |                    | `string`                  | `Promise<Record<string, string>>` | Parses the given text using the regex pattern and returns a object with the parsed output.                                                                |
 
 For specifics on how to use output parsers, see the [relevant how-to guides here](/docs/how_to/#output-parsers).
 
diff --git a/docs/core_docs/docs/contributing/documentation/style_guide.mdx b/docs/core_docs/docs/contributing/documentation/style_guide.mdx
index 4e0579c66bae..9ec85edae94a 100644
--- a/docs/core_docs/docs/contributing/documentation/style_guide.mdx
+++ b/docs/core_docs/docs/contributing/documentation/style_guide.mdx
@@ -22,7 +22,7 @@ Under this framework, all documentation falls under one of four categories:
   - The clearest examples of this are our [Use case](/docs/how_to/#use-cases) pages.
 - **Reference**: Technical descriptions of the machinery and how to operate it.
   - Our [Runnable](/docs/how_to/#langchain-expression-language-lcel) pages is an example of this.
-  - The [API reference pages](https://v02.api.js.langchain.com/) are another.
+  - The [API reference pages](https://api.js.langchain.com/) are another.
 - **Explanation**: Explanations that clarify and illuminate a particular topic.
 
 Each category serves a distinct purpose and requires a specific approach to writing and structuring the content.
diff --git a/docs/core_docs/docs/contributing/repo_structure.mdx b/docs/core_docs/docs/contributing/repo_structure.mdx
index 3533d523b8c6..3775cfcd1829 100644
--- a/docs/core_docs/docs/contributing/repo_structure.mdx
+++ b/docs/core_docs/docs/contributing/repo_structure.mdx
@@ -15,7 +15,7 @@ Here's the structure visualized as a tree:
 .
 ├── docs
 │   ├── core_docs # Contains content for the documentation here: https://js.langchain.com/
-│   ├── api_refs # Contains content for the API refs here: https://v02.api.js.langchain.com/
+│   ├── api_refs # Contains content for the API refs here: https://api.js.langchain.com/
 ├── langchain # Main package
 │   ├── src/**/tests/*.test.ts/ # Unit tests (present in each package not shown for brevity)
 │   ├── src/**/tests/*.int.test.ts/ # Integration tests (present in each package not shown for brevity)
@@ -36,7 +36,7 @@ There are other files in the root directory level, but their presence should be
 ## Documentation
 
 The `/docs` directory contains the content for the documentation that is shown
-at https://js.langchain.com/ and the associated API Reference https://v02.api.js.langchain.com/
+at https://js.langchain.com/ and the associated API Reference https://api.js.langchain.com/
 
 See the [documentation](/docs/contributing/documentation/style_guide) guidelines to learn how to contribute to the documentation.
 
diff --git a/docs/core_docs/docs/how_to/agent_executor.ipynb b/docs/core_docs/docs/how_to/agent_executor.ipynb
index 913c35f2f250..f37846a3cdba 100644
--- a/docs/core_docs/docs/how_to/agent_executor.ipynb
+++ b/docs/core_docs/docs/how_to/agent_executor.ipynb
@@ -50,7 +50,7 @@
     "import Npm2Yarn from '@theme/Npm2Yarn';\n",
     "\n",
     "<Npm2Yarn>\n",
-    "  langchain cheerio\n",
+    "  langchain @langchain/core cheerio\n",
     "</Npm2Yarn>\n",
     "```\n",
     "\n",
@@ -314,10 +314,10 @@
     }
    ],
    "source": [
-    "const response = await modelWithTools.invoke([new HumanMessage(\"Hi!\")])\n",
+    "const responseWithTools = await modelWithTools.invoke([new HumanMessage(\"Hi!\")])\n",
     "\n",
-    "console.log(`Content: ${response.content}`)\n",
-    "console.log(`Tool calls: ${response.tool_calls}`)"
+    "console.log(`Content: ${responseWithTools.content}`)\n",
+    "console.log(`Tool calls: ${responseWithTools.tool_calls}`)"
    ]
   },
   {
@@ -352,10 +352,10 @@
     }
    ],
    "source": [
-    "const response = await modelWithTools.invoke([new HumanMessage(\"What's the weather in SF?\")])\n",
+    "const responseWithToolCalls = await modelWithTools.invoke([new HumanMessage(\"What's the weather in SF?\")])\n",
     "\n",
-    "console.log(`Content: ${response.content}`)\n",
-    "console.log(`Tool calls: ${JSON.stringify(response.tool_calls, null, 2)}`)"
+    "console.log(`Content: ${responseWithToolCalls.content}`)\n",
+    "console.log(`Tool calls: ${JSON.stringify(responseWithToolCalls.tool_calls, null, 2)}`)"
    ]
   },
   {
diff --git a/docs/core_docs/docs/how_to/assign.ipynb b/docs/core_docs/docs/how_to/assign.ipynb
index ef0b5dc505c4..6faee4736433 100644
--- a/docs/core_docs/docs/how_to/assign.ipynb
+++ b/docs/core_docs/docs/how_to/assign.ipynb
@@ -27,7 +27,7 @@
     "\n",
     ":::\n",
     "\n",
-    "An alternate way of [passing data through](/docs/how_to/passthrough) steps of a chain is to leave the current values of the chain state unchanged while assigning a new value under a given key. The [`RunnablePassthrough.assign()`](https://v02.api.js.langchain.com/classes/langchain_core.runnables.RunnablePassthrough.html#assign-2) static method takes an input value and adds the extra arguments passed to the assign function.\n",
+    "An alternate way of [passing data through](/docs/how_to/passthrough) steps of a chain is to leave the current values of the chain state unchanged while assigning a new value under a given key. The [`RunnablePassthrough.assign()`](https://api.js.langchain.com/classes/langchain_core.runnables.RunnablePassthrough.html#assign-2) static method takes an input value and adds the extra arguments passed to the assign function.\n",
     "\n",
     "This is useful in the common [LangChain Expression Language](/docs/concepts/#langchain-expression-language) pattern of additively creating a dictionary to use as input to a later step.\n",
     "\n",
@@ -87,7 +87,7 @@
     "<IntegrationInstallTooltip></IntegrationInstallTooltip>\n",
     "\n",
     "<Npm2Yarn>\n",
-    "  @langchain/openai\n",
+    "  @langchain/openai @langchain/core\n",
     "</Npm2Yarn>\n",
     "```"
    ]
diff --git a/docs/core_docs/docs/how_to/binding.ipynb b/docs/core_docs/docs/how_to/binding.ipynb
index 3375fedb84a7..7eafd8ad400a 100644
--- a/docs/core_docs/docs/how_to/binding.ipynb
+++ b/docs/core_docs/docs/how_to/binding.ipynb
@@ -27,7 +27,7 @@
     "\n",
     ":::\n",
     "\n",
-    "Sometimes we want to invoke a [`Runnable`](https://v02.api.js.langchain.com/classes/langchain_core.runnables.Runnable.html) within a [RunnableSequence](https://v02.api.js.langchain.com/classes/langchain_core.runnables.RunnableSequence.html) with constant arguments that are not part of the output of the preceding Runnable in the sequence, and which are not part of the user input. We can use the [`Runnable.bind()`](https://v02.api.js.langchain.com/classes/langchain_core.runnables.Runnable.html#bind) method to set these arguments ahead of time.\n",
+    "Sometimes we want to invoke a [`Runnable`](https://api.js.langchain.com/classes/langchain_core.runnables.Runnable.html) within a [RunnableSequence](https://api.js.langchain.com/classes/langchain_core.runnables.RunnableSequence.html) with constant arguments that are not part of the output of the preceding Runnable in the sequence, and which are not part of the user input. We can use the [`Runnable.bind()`](https://api.js.langchain.com/classes/langchain_core.runnables.Runnable.html#bind) method to set these arguments ahead of time.\n",
     "\n",
     "## Binding stop sequences\n",
     "\n",
@@ -40,7 +40,7 @@
     "<IntegrationInstallTooltip></IntegrationInstallTooltip>\n",
     "\n",
     "<Npm2Yarn>\n",
-    "  @langchain/openai\n",
+    "  @langchain/openai @langchain/core\n",
     "</Npm2Yarn>\n",
     "```"
    ]
@@ -117,15 +117,15 @@
     }
    ],
    "source": [
-    "const runnable = prompt\n",
-    "  .pipe(model.bind({ stop: \"SOLUTION\" }))\n",
+    "const runnableWithStop = prompt\n",
+    "  .pipe(model.bind({ stop: [\"SOLUTION\"] }))\n",
     "  .pipe(new StringOutputParser());\n",
     "\n",
-    "const res = await runnable.invoke({\n",
+    "const shorterResponse = await runnableWithStop.invoke({\n",
     "  equation_statement: \"x raised to the third plus seven equals 12\"\n",
     "});\n",
     "\n",
-    "console.log(res);"
+    "console.log(shorterResponse);"
    ]
   },
   {
@@ -277,9 +277,9 @@
     "  }\n",
     "];\n",
     "\n",
-    "const model = new ChatOpenAI({ model: \"gpt-4o\" }).bind({ tools });\n",
+    "const modelWithTools = new ChatOpenAI({ model: \"gpt-4o\" }).bind({ tools });\n",
     "\n",
-    "await model.invoke(\"What's the weather in SF, NYC and LA?\")"
+    "await modelWithTools.invoke(\"What's the weather in SF, NYC and LA?\")"
    ]
   },
   {
diff --git a/docs/core_docs/docs/how_to/caching_embeddings.mdx b/docs/core_docs/docs/how_to/caching_embeddings.mdx
index 72b5f5f2bd6e..9a4432ffa779 100644
--- a/docs/core_docs/docs/how_to/caching_embeddings.mdx
+++ b/docs/core_docs/docs/how_to/caching_embeddings.mdx
@@ -35,7 +35,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @langchain/openai @langchain/community
+npm install @langchain/openai @langchain/community @langchain/core
 ```
 
 Here's a basic test example with an in memory cache. This type of cache is primarily useful for unit tests or prototyping.
diff --git a/docs/core_docs/docs/how_to/callbacks_backgrounding.ipynb b/docs/core_docs/docs/how_to/callbacks_serverless.ipynb
similarity index 57%
rename from docs/core_docs/docs/how_to/callbacks_backgrounding.ipynb
rename to docs/core_docs/docs/how_to/callbacks_serverless.ipynb
index 45af5b58b4da..90b4fdd2a77e 100644
--- a/docs/core_docs/docs/how_to/callbacks_backgrounding.ipynb
+++ b/docs/core_docs/docs/how_to/callbacks_serverless.ipynb
@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# How to make callbacks run in the background\n",
+    "# How to await callbacks in serverless environments\n",
     "\n",
     ":::info Prerequisites\n",
     "\n",
@@ -14,31 +14,33 @@
     "\n",
     ":::\n",
     "\n",
-    "By default, LangChain.js callbacks are blocking. This means that execution will wait for the callback to either return or timeout before continuing. This is to help ensure that if you are running code in [serverless environments](https://en.wikipedia.org/wiki/Serverless_computing) such as [AWS Lambda](https://aws.amazon.com/pm/lambda/) or [Cloudflare Workers](https://workers.cloudflare.com/), these callbacks always finish before the execution context ends.\n",
+    "As of `@langchain/core@0.3.0`, LangChain.js callbacks run in the background. This means that execution will **not** wait for the callback to either return before continuing. Prior to `0.3.0`, this behavior was the opposite.\n",
     "\n",
-    "However, this can add unnecessary latency if you are running in traditional stateful environments. If desired, you can set your callbacks to run in the background to avoid this additional latency by setting the `LANGCHAIN_CALLBACKS_BACKGROUND` environment variable to `\"true\"`. You can then import the global [`awaitAllCallbacks`](https://api.js.langchain.com/functions/langchain_core.callbacks_promises.awaitAllCallbacks.html) method to ensure all callbacks finish if necessary.\n",
+    "If you are running code in [serverless environments](https://en.wikipedia.org/wiki/Serverless_computing) such as [AWS Lambda](https://aws.amazon.com/pm/lambda/) or [Cloudflare Workers](https://workers.cloudflare.com/) you should set your callbacks to be blocking to allow them time to finish or timeout.\n",
     "\n",
-    "To illustrate this, we'll create a [custom callback handler](/docs/how_to/custom_callbacks) that takes some time to resolve, and show the timing with and without `LANGCHAIN_CALLBACKS_BACKGROUND` set. Here it is without the variable set:"
+    "To make callbacks blocking, set the `LANGCHAIN_CALLBACKS_BACKGROUND` environment variable to `\"false\"`. Alternatively, you can import the global [`awaitAllCallbacks`](https://api.js.langchain.com/functions/langchain_core.callbacks_promises.awaitAllCallbacks.html) method to ensure all callbacks finish if necessary.\n",
+    "\n",
+    "To illustrate this, we'll create a [custom callback handler](/docs/how_to/custom_callbacks) that takes some time to resolve, and show the timing with and without `LANGCHAIN_CALLBACKS_BACKGROUND` set to `\"false\"`. Here it is without the variable set along with the `awaitAllCallbacks` global:"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "Elapsed time: 1ms\n",
       "Call finished\n",
-      "Elapsed time: 2005ms\n"
+      "Final elapsed time: 2164ms\n"
      ]
     }
    ],
    "source": [
     "import { RunnableLambda } from \"@langchain/core/runnables\";\n",
-    "\n",
-    "Deno.env.set(\"LANGCHAIN_CALLBACKS_BACKGROUND\", \"false\");\n",
+    "import { awaitAllCallbacks } from \"@langchain/core/callbacks/promises\";\n",
     "\n",
     "const runnable = RunnableLambda.from(() => \"hello!\");\n",
     "\n",
@@ -53,51 +55,52 @@
     "\n",
     "await runnable.invoke({ number: \"2\" }, { callbacks: [customHandler] });\n",
     "\n",
-    "console.log(`Elapsed time: ${new Date().getTime() - startTime}ms`);"
+    "console.log(`Elapsed time: ${new Date().getTime() - startTime}ms`);\n",
+    "\n",
+    "await awaitAllCallbacks();\n",
+    "\n",
+    "console.log(`Final elapsed time: ${new Date().getTime() - startTime}ms`);"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "And here it is with backgrounding on:"
+    "We can see that the initial `runnable.invoke()` call finishes in a short amount of time, and then roughly two seconds later, the callbacks finish.\n",
+    "\n",
+    "And here it is with backgrounding off:"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Initial elapsed time: 0ms\n",
       "Call finished\n",
-      "Final elapsed time: 2098ms\n"
+      "Initial elapsed time: 2002ms\n"
      ]
     }
    ],
    "source": [
-    "import { awaitAllCallbacks } from \"@langchain/core/callbacks/promises\";\n",
+    "process.env.LANGCHAIN_CALLBACKS_BACKGROUND = \"false\";\n",
     "\n",
-    "Deno.env.set(\"LANGCHAIN_CALLBACKS_BACKGROUND\", \"true\");\n",
-    "\n",
-    "const startTime = new Date().getTime();\n",
+    "const startTimeBlocking = new Date().getTime();\n",
     "\n",
     "await runnable.invoke({ number: \"2\" }, { callbacks: [customHandler] });\n",
     "\n",
-    "console.log(`Initial elapsed time: ${new Date().getTime() - startTime}ms`);\n",
-    "\n",
-    "await awaitAllCallbacks();\n",
-    "\n",
-    "console.log(`Final elapsed time: ${new Date().getTime() - startTime}ms`);"
+    "console.log(`Initial elapsed time: ${new Date().getTime() - startTimeBlocking}ms`);"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
+    "This time, the initial call by itself takes two seconds because the `invoke()` call waits for the callback to return before returning.\n",
+    "\n",
     "## Next steps\n",
     "\n",
     "You've now learned how to run callbacks in the background to reduce latency.\n",
@@ -108,17 +111,20 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Deno",
+   "display_name": "TypeScript",
    "language": "typescript",
-   "name": "deno"
+   "name": "tslab"
   },
   "language_info": {
+   "codemirror_mode": {
+    "mode": "typescript",
+    "name": "javascript",
+    "typescript": true
+   },
    "file_extension": ".ts",
-   "mimetype": "text/x.typescript",
+   "mimetype": "text/typescript",
    "name": "typescript",
-   "nb_converter": "script",
-   "pygments_lexer": "typescript",
-   "version": "5.3.3"
+   "version": "3.7.2"
   }
  },
  "nbformat": 4,
diff --git a/docs/core_docs/docs/how_to/character_text_splitter.ipynb b/docs/core_docs/docs/how_to/character_text_splitter.ipynb
index 44bbe800d25e..f956da4b251a 100644
--- a/docs/core_docs/docs/how_to/character_text_splitter.ipynb
+++ b/docs/core_docs/docs/how_to/character_text_splitter.ipynb
@@ -22,7 +22,7 @@
     "\n",
     "To obtain the string content directly, use `.splitText()`.\n",
     "\n",
-    "To create LangChain [Document](https://v02.api.js.langchain.com/classes/langchain_core.documents.Document.html) objects (e.g., for use in downstream tasks), use `.createDocuments()`."
+    "To create LangChain [Document](https://api.js.langchain.com/classes/langchain_core.documents.Document.html) objects (e.g., for use in downstream tasks), use `.createDocuments()`."
    ]
   },
   {
diff --git a/docs/core_docs/docs/how_to/chat_model_caching.mdx b/docs/core_docs/docs/how_to/chat_model_caching.mdx
index f3b3b3da1be5..9c0c800e4ced 100644
--- a/docs/core_docs/docs/how_to/chat_model_caching.mdx
+++ b/docs/core_docs/docs/how_to/chat_model_caching.mdx
@@ -89,7 +89,7 @@ LangChain also provides a Redis-based cache. This is useful if you want to share
 To use it, you'll need to install the `redis` package:
 
 ```bash npm2yarn
-npm install ioredis @langchain/community
+npm install ioredis @langchain/community @langchain/core
 ```
 
 Then, you can pass a `cache` option when you instantiate the LLM. For example:
diff --git a/docs/core_docs/docs/how_to/chat_streaming.ipynb b/docs/core_docs/docs/how_to/chat_streaming.ipynb
index 292a3b11e7c7..1acdea5e782b 100644
--- a/docs/core_docs/docs/how_to/chat_streaming.ipynb
+++ b/docs/core_docs/docs/how_to/chat_streaming.ipynb
@@ -215,7 +215,7 @@
    "source": [
     "## Stream events\n",
     "\n",
-    "Chat models also support the standard [`streamEvents()`](https://v02.api.js.langchain.com/classes/langchain_core.runnables.Runnable.html#streamEvents) method to stream more granular events from within chains.\n",
+    "Chat models also support the standard [`streamEvents()`](https://api.js.langchain.com/classes/langchain_core.runnables.Runnable.html#streamEvents) method to stream more granular events from within chains.\n",
     "\n",
     "This method is useful if you're streaming output from a larger LLM application that contains multiple steps (e.g., a chain composed of a prompt, chat model and parser):"
    ]
diff --git a/docs/core_docs/docs/how_to/chat_token_usage_tracking.mdx b/docs/core_docs/docs/how_to/chat_token_usage_tracking.mdx
index ac8c6c728395..644f3c2f5c0d 100644
--- a/docs/core_docs/docs/how_to/chat_token_usage_tracking.mdx
+++ b/docs/core_docs/docs/how_to/chat_token_usage_tracking.mdx
@@ -28,7 +28,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @langchain/openai
+npm install @langchain/openai @langchain/core
 ```
 
 import UsageMetadataExample from "@examples/models/chat/usage_metadata.ts";
@@ -38,7 +38,7 @@ import UsageMetadataExample from "@examples/models/chat/usage_metadata.ts";
 #### Anthropic
 
 ```bash npm2yarn
-npm install @langchain/anthropic
+npm install @langchain/anthropic @langchain/core
 ```
 
 import UsageMetadataExampleAnthropic from "@examples/models/chat/usage_metadata_anthropic.ts";
diff --git a/docs/core_docs/docs/how_to/chatbots_retrieval.ipynb b/docs/core_docs/docs/how_to/chatbots_retrieval.ipynb
index 6266bbd5da33..a3af18fed5b4 100644
--- a/docs/core_docs/docs/how_to/chatbots_retrieval.ipynb
+++ b/docs/core_docs/docs/how_to/chatbots_retrieval.ipynb
@@ -25,7 +25,7 @@
     "import Npm2Yarn from \"@theme/Npm2Yarn\";\n",
     "\n",
     "<Npm2Yarn>\n",
-    "  @langchain/openai cheerio\n",
+    "  @langchain/openai @langchain/core cheerio\n",
     "</Npm2Yarn>\n",
     "```\n",
     "\n",
@@ -38,6 +38,21 @@
     "```"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "// @lc-docs-hide-cell\n",
+    "import { ChatOpenAI } from \"@langchain/openai\";\n",
+    "\n",
+    "const llm = new ChatOpenAI({\n",
+    "  model: \"gpt-4o\",\n",
+    "  temperature: 0,\n",
+    "});"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
diff --git a/docs/core_docs/docs/how_to/chatbots_tools.ipynb b/docs/core_docs/docs/how_to/chatbots_tools.ipynb
index 113155899e9b..b5a3b2d0cdd1 100644
--- a/docs/core_docs/docs/how_to/chatbots_tools.ipynb
+++ b/docs/core_docs/docs/how_to/chatbots_tools.ipynb
@@ -11,7 +11,7 @@
     "This guide assumes familiarity with the following concepts:\n",
     "\n",
     "- [Chatbots](/docs/concepts/#messages)\n",
-    "- [Agents](/docs/tutorials/agents)\n",
+    "- [Agents](https://langchain-ai.github.io/langgraphjs/tutorials/quickstart/)\n",
     "- [Chat history](/docs/concepts/#chat-history)\n",
     "\n",
     ":::\n",
@@ -29,7 +29,7 @@
     "import Npm2Yarn from \"@theme/Npm2Yarn\";\n",
     "\n",
     "<Npm2Yarn>\n",
-    "  @langchain/core @langchain/openai langchain\n",
+    "  @langchain/openai langchain @langchain/core\n",
     "</Npm2Yarn>\n",
     "```"
    ]
diff --git a/docs/core_docs/docs/how_to/code_splitter.ipynb b/docs/core_docs/docs/how_to/code_splitter.ipynb
index 683038c6e036..28726f2650ad 100644
--- a/docs/core_docs/docs/how_to/code_splitter.ipynb
+++ b/docs/core_docs/docs/how_to/code_splitter.ipynb
@@ -17,7 +17,7 @@
     ":::\n",
     "\n",
     "\n",
-    "[RecursiveCharacterTextSplitter](https://v02.api.js.langchain.com/classes/langchain_textsplitters.RecursiveCharacterTextSplitter.html) includes pre-built lists of separators that are useful for splitting text in a specific programming language.\n",
+    "[RecursiveCharacterTextSplitter](https://api.js.langchain.com/classes/langchain_textsplitters.RecursiveCharacterTextSplitter.html) includes pre-built lists of separators that are useful for splitting text in a specific programming language.\n",
     "\n",
     "Supported languages include:\n",
     "\n",
diff --git a/docs/core_docs/docs/how_to/contextual_compression.mdx b/docs/core_docs/docs/how_to/contextual_compression.mdx
index 6a270553078d..fad1e50fe2bb 100644
--- a/docs/core_docs/docs/how_to/contextual_compression.mdx
+++ b/docs/core_docs/docs/how_to/contextual_compression.mdx
@@ -31,7 +31,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @langchain/openai @langchain/community
+npm install @langchain/openai @langchain/community @langchain/core
 ```
 
 import CodeBlock from "@theme/CodeBlock";
diff --git a/docs/core_docs/docs/how_to/convert_runnable_to_tool.ipynb b/docs/core_docs/docs/how_to/convert_runnable_to_tool.ipynb
index 2fdae686438e..bf6a6eed4829 100644
--- a/docs/core_docs/docs/how_to/convert_runnable_to_tool.ipynb
+++ b/docs/core_docs/docs/how_to/convert_runnable_to_tool.ipynb
@@ -15,7 +15,7 @@
     "\n",
     "- [Runnables](/docs/concepts#runnable-interface)\n",
     "- [Tools](/docs/concepts#tools)\n",
-    "- [Agents](/docs/tutorials/agents)\n",
+    "- [Agents](https://langchain-ai.github.io/langgraphjs/tutorials/quickstart/)\n",
     "\n",
     ":::\n",
     "\n",
diff --git a/docs/core_docs/docs/how_to/custom_callbacks.ipynb b/docs/core_docs/docs/how_to/custom_callbacks.ipynb
index f8f98349ea04..fbd7c6465104 100644
--- a/docs/core_docs/docs/how_to/custom_callbacks.ipynb
+++ b/docs/core_docs/docs/how_to/custom_callbacks.ipynb
@@ -118,7 +118,7 @@
     "\n",
     "You've now learned how to create your own custom callback handlers.\n",
     "\n",
-    "Next, check out the other how-to guides in this section, such as [how to background callbacks](/docs/how_to/callbacks_backgrounding)."
+    "Next, check out the other how-to guides in this section, such as [how to await callbacks in serverless environments](/docs/how_to/callbacks_serverless)."
    ]
   },
   {
diff --git a/docs/core_docs/docs/how_to/custom_chat.ipynb b/docs/core_docs/docs/how_to/custom_chat.ipynb
index c0e102bd57e9..0566a2e8339f 100644
--- a/docs/core_docs/docs/how_to/custom_chat.ipynb
+++ b/docs/core_docs/docs/how_to/custom_chat.ipynb
@@ -22,14 +22,14 @@
     "\n",
     "This notebook goes over how to create a custom chat model wrapper, in case you want to use your own chat model or a different wrapper than one that is directly supported in LangChain.\n",
     "\n",
-    "There are a few required things that a chat model needs to implement after extending the [`SimpleChatModel` class](https://v02.api.js.langchain.com/classes/langchain_core.language_models_chat_models.SimpleChatModel.html):\n",
+    "There are a few required things that a chat model needs to implement after extending the [`SimpleChatModel` class](https://api.js.langchain.com/classes/langchain_core.language_models_chat_models.SimpleChatModel.html):\n",
     "\n",
     "- A `_call` method that takes in a list of messages and call options (which includes things like `stop` sequences), and returns a string.\n",
     "- A `_llmType` method that returns a string. Used for logging purposes only.\n",
     "\n",
     "You can also implement the following optional method:\n",
     "\n",
-    "- A `_streamResponseChunks` method that returns an `AsyncGenerator` and yields [`ChatGenerationChunks`](https://v02.api.js.langchain.com/classes/langchain_core.outputs.ChatGenerationChunk.html). This allows the LLM to support streaming outputs.\n",
+    "- A `_streamResponseChunks` method that returns an `AsyncGenerator` and yields [`ChatGenerationChunks`](https://api.js.langchain.com/classes/langchain_core.outputs.ChatGenerationChunk.html). This allows the LLM to support streaming outputs.\n",
     "\n",
     "Let's implement a very simple custom chat model that just echoes back the first `n` characters of the input."
    ]
@@ -268,7 +268,7 @@
    "source": [
     "## Richer outputs\n",
     "\n",
-    "If you want to take advantage of LangChain's callback system for functionality like token tracking, you can extend the [`BaseChatModel`](https://v02.api.js.langchain.com/classes/langchain_core.language_models_chat_models.BaseChatModel.html) class and implement the lower level\n",
+    "If you want to take advantage of LangChain's callback system for functionality like token tracking, you can extend the [`BaseChatModel`](https://api.js.langchain.com/classes/langchain_core.language_models_chat_models.BaseChatModel.html) class and implement the lower level\n",
     "`_generate` method. It also takes a list of `BaseMessage`s as input, but requires you to construct and return a `ChatGeneration` object that permits additional metadata.\n",
     "Here's an example:"
    ]
diff --git a/docs/core_docs/docs/how_to/custom_llm.ipynb b/docs/core_docs/docs/how_to/custom_llm.ipynb
index 900a90e49f4a..fd47376dad2a 100644
--- a/docs/core_docs/docs/how_to/custom_llm.ipynb
+++ b/docs/core_docs/docs/how_to/custom_llm.ipynb
@@ -22,14 +22,14 @@
     "\n",
     "This notebook goes over how to create a custom LLM wrapper, in case you want to use your own LLM or a different wrapper than one that is directly supported in LangChain.\n",
     "\n",
-    "There are a few required things that a custom LLM needs to implement after extending the [`LLM` class](https://v02.api.js.langchain.com/classes/langchain_core.language_models_llms.LLM.html):\n",
+    "There are a few required things that a custom LLM needs to implement after extending the [`LLM` class](https://api.js.langchain.com/classes/langchain_core.language_models_llms.LLM.html):\n",
     "\n",
     "- A `_call` method that takes in a string and call options (which includes things like `stop` sequences), and returns a string.\n",
     "- A `_llmType` method that returns a string. Used for logging purposes only.\n",
     "\n",
     "You can also implement the following optional method:\n",
     "\n",
-    "- A `_streamResponseChunks` method that returns an `AsyncIterator` and yields [`GenerationChunks`](https://v02.api.js.langchain.com/classes/langchain_core.outputs.GenerationChunk.html). This allows the LLM to support streaming outputs.\n",
+    "- A `_streamResponseChunks` method that returns an `AsyncIterator` and yields [`GenerationChunks`](https://api.js.langchain.com/classes/langchain_core.outputs.GenerationChunk.html). This allows the LLM to support streaming outputs.\n",
     "\n",
     "Let's implement a very simple custom LLM that just echoes back the first `n` characters of the input."
    ]
@@ -151,7 +151,7 @@
    "source": [
     "## Richer outputs\n",
     "\n",
-    "If you want to take advantage of LangChain's callback system for functionality like token tracking, you can extend the [`BaseLLM`](https://v02.api.js.langchain.com/classes/langchain_core.language_models_llms.BaseLLM.html) class and implement the lower level\n",
+    "If you want to take advantage of LangChain's callback system for functionality like token tracking, you can extend the [`BaseLLM`](https://api.js.langchain.com/classes/langchain_core.language_models_llms.BaseLLM.html) class and implement the lower level\n",
     "`_generate` method. Rather than taking a single string as input and a single string output, it can take multiple input strings and map each to multiple string outputs.\n",
     "Additionally, it returns a `Generation` output with fields for additional metadata rather than just a string."
    ]
diff --git a/docs/core_docs/docs/how_to/custom_retriever.mdx b/docs/core_docs/docs/how_to/custom_retriever.mdx
index 2f81302acbf1..28edfff6bbf9 100644
--- a/docs/core_docs/docs/how_to/custom_retriever.mdx
+++ b/docs/core_docs/docs/how_to/custom_retriever.mdx
@@ -8,7 +8,7 @@ This guide assumes familiarity with the following concepts:
 
 :::
 
-To create your own retriever, you need to extend the [`BaseRetriever`](https://v02.api.js.langchain.com/classes/langchain_core.retrievers.BaseRetriever.html) class
+To create your own retriever, you need to extend the [`BaseRetriever`](https://api.js.langchain.com/classes/langchain_core.retrievers.BaseRetriever.html) class
 and implement a `_getRelevantDocuments` method that takes a `string` as its first parameter (and an optional `runManager` for tracing).
 This method should return an array of `Document`s fetched from some source. This process can involve calls to a database, to the web using `fetch`, or any other source.
 Note the underscore before `_getRelevantDocuments()`. The base class wraps the non-prefixed version in order to automatically handle tracing of the original call.
diff --git a/docs/core_docs/docs/how_to/debugging.mdx b/docs/core_docs/docs/how_to/debugging.mdx
index 09d073c34640..d1a3527e94a2 100644
--- a/docs/core_docs/docs/how_to/debugging.mdx
+++ b/docs/core_docs/docs/how_to/debugging.mdx
@@ -3524,5 +3524,5 @@ MacBook-Pro-4:examples jacoblee$ yarn start examples/src/guides/debugging/simple
 
 `Callbacks` are what we use to execute any functionality within a component outside the primary component logic.
 All of the above solutions use `Callbacks` under the hood to log intermediate steps of components.
-There are a number of `Callbacks` relevant for debugging that come with LangChain out of the box, like the [`ConsoleCallbackHandler`](https://v02.api.js.langchain.com/classes/langchain_core.tracers_console.ConsoleCallbackHandler.html).
+There are a number of `Callbacks` relevant for debugging that come with LangChain out of the box, like the [`ConsoleCallbackHandler`](https://api.js.langchain.com/classes/langchain_core.tracers_console.ConsoleCallbackHandler.html).
 You can also implement your own callbacks to execute custom functionality.
diff --git a/docs/core_docs/docs/how_to/document_loader_html.ipynb b/docs/core_docs/docs/how_to/document_loader_html.ipynb
index 4c38f6c8923f..177518ec6c7f 100644
--- a/docs/core_docs/docs/how_to/document_loader_html.ipynb
+++ b/docs/core_docs/docs/how_to/document_loader_html.ipynb
@@ -9,7 +9,7 @@
     "\n",
     "The HyperText Markup Language or [HTML](https://en.wikipedia.org/wiki/HTML) is the standard markup language for documents designed to be displayed in a web browser.\n",
     "\n",
-    "This covers how to load `HTML` documents into a LangChain [Document](https://v02.api.js.langchain.com/classes/langchain_core.documents.Document.html) objects that we can use downstream.\n",
+    "This covers how to load `HTML` documents into a LangChain [Document](https://api.js.langchain.com/classes/langchain_core.documents.Document.html) objects that we can use downstream.\n",
     "\n",
     "Parsing HTML files often requires specialized tools. Here we demonstrate parsing via [Unstructured](https://unstructured-io.github.io/unstructured/). Head over to the integrations page to find integrations with additional services, such as [FireCrawl](/docs/integrations/document_loaders/web_loaders/firecrawl).\n",
     "\n",
@@ -28,7 +28,7 @@
     "import Npm2Yarn from \"@theme/Npm2Yarn\"\n",
     "\n",
     "<Npm2Yarn>\n",
-    "  @langchain/community\n",
+    "  @langchain/community @langchain/core\n",
     "</Npm2Yarn>\n",
     "```"
    ]
diff --git a/docs/core_docs/docs/how_to/document_loader_markdown.ipynb b/docs/core_docs/docs/how_to/document_loader_markdown.ipynb
index c84a92f18508..51b130e27d64 100644
--- a/docs/core_docs/docs/how_to/document_loader_markdown.ipynb
+++ b/docs/core_docs/docs/how_to/document_loader_markdown.ipynb
@@ -9,14 +9,14 @@
     "\n",
     "[Markdown](https://en.wikipedia.org/wiki/Markdown) is a lightweight markup language for creating formatted text using a plain-text editor.\n",
     "\n",
-    "Here we cover how to load `Markdown` documents into LangChain [Document](https://v02.api.js.langchain.com/classes/langchain_core.documents.Document.html) objects that we can use downstream.\n",
+    "Here we cover how to load `Markdown` documents into LangChain [Document](https://api.js.langchain.com/classes/langchain_core.documents.Document.html) objects that we can use downstream.\n",
     "\n",
     "We will cover:\n",
     "\n",
     "- Basic usage;\n",
     "- Parsing of Markdown into elements such as titles, list items, and text.\n",
     "\n",
-    "LangChain implements an [UnstructuredLoader](https://v02.api.js.langchain.com/classes/langchain.document_loaders_fs_unstructured.UnstructuredLoader.html) class.\n",
+    "LangChain implements an [UnstructuredLoader](https://api.js.langchain.com/classes/langchain.document_loaders_fs_unstructured.UnstructuredLoader.html) class.\n",
     "\n",
     ":::info Prerequisites\n",
     "\n",
@@ -33,7 +33,7 @@
     "import Npm2Yarn from \"@theme/Npm2Yarn\"\n",
     "\n",
     "<Npm2Yarn>\n",
-    "  @langchain/community\n",
+    "  @langchain/community @langchain/core\n",
     "</Npm2Yarn>\n",
     "```"
    ]
@@ -229,16 +229,16 @@
     }
    ],
    "source": [
-    "const loader = new UnstructuredLoader(markdownPath, {\n",
-    "    chunkingStrategy: \"by_title\"\n",
+    "const loaderByTitle = new UnstructuredLoader(markdownPath, {\n",
+    "  chunkingStrategy: \"by_title\"\n",
     "});\n",
     "\n",
     "\n",
-    "const data = await loader.load()\n",
+    "const loadedDocs = await loaderByTitle.load()\n",
     "\n",
-    "console.log(`Number of documents: ${data.length}\\n`)\n",
+    "console.log(`Number of documents: ${loadedDocs.length}\\n`)\n",
     "\n",
-    "for (const doc of data.slice(0, 2)) {\n",
+    "for (const doc of loadedDocs.slice(0, 2)) {\n",
     "    console.log(doc);\n",
     "    console.log(\"\\n\");\n",
     "}"
diff --git a/docs/core_docs/docs/how_to/embed_text.mdx b/docs/core_docs/docs/how_to/embed_text.mdx
index f5b3132f5618..2a0c5c34cad5 100644
--- a/docs/core_docs/docs/how_to/embed_text.mdx
+++ b/docs/core_docs/docs/how_to/embed_text.mdx
@@ -29,7 +29,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @langchain/openai
+npm install @langchain/openai @langchain/core
 ```
 
 ## Get started
diff --git a/docs/core_docs/docs/how_to/example_selectors_langsmith.ipynb b/docs/core_docs/docs/how_to/example_selectors_langsmith.ipynb
index 3a145a257ed0..1917d4b67f97 100644
--- a/docs/core_docs/docs/how_to/example_selectors_langsmith.ipynb
+++ b/docs/core_docs/docs/how_to/example_selectors_langsmith.ipynb
@@ -46,7 +46,7 @@
     "import Npm2Yarn from \"@theme/Npm2Yarn\"\n",
     "\n",
     "<Npm2Yarn>\n",
-    "  langsmith langchain @langchain/anthropic zod zod-to-json-schema\n",
+    "  langsmith langchain @langchain/anthropic @langchain/core zod zod-to-json-schema\n",
     "</Npm2Yarn>\n",
     "\n",
     "```"
diff --git a/docs/core_docs/docs/how_to/example_selectors_similarity.mdx b/docs/core_docs/docs/how_to/example_selectors_similarity.mdx
index 06eeb65f9c0b..f18eff41be78 100644
--- a/docs/core_docs/docs/how_to/example_selectors_similarity.mdx
+++ b/docs/core_docs/docs/how_to/example_selectors_similarity.mdx
@@ -24,7 +24,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @langchain/openai @langchain/community
+npm install @langchain/openai @langchain/community @langchain/core
 ```
 
 <CodeBlock language="typescript">{ExampleSimilarity}</CodeBlock>
diff --git a/docs/core_docs/docs/how_to/extraction_examples.ipynb b/docs/core_docs/docs/how_to/extraction_examples.ipynb
index b8188e0fb37c..02eb0abcffcc 100644
--- a/docs/core_docs/docs/how_to/extraction_examples.ipynb
+++ b/docs/core_docs/docs/how_to/extraction_examples.ipynb
@@ -31,7 +31,7 @@
         "<IntegrationInstallTooltip></IntegrationInstallTooltip>\n",
         "\n",
         "<Npm2Yarn>\n",
-        "  @langchain/openai zod uuid\n",
+        "  @langchain/openai @langchain/core zod uuid\n",
         "</Npm2Yarn>\n",
         "```\n",
         "\n",
@@ -433,12 +433,12 @@
         }
       ],
       "source": [
-        "const promptValue = await prompt.invoke({\n",
+        "const promptValueWithExamples = await prompt.invoke({\n",
         "  text: \"this is some text\",\n",
         "  examples: exampleMessages\n",
         "});\n",
         "\n",
-        "promptValue.toChatMessages();"
+        "promptValueWithExamples.toChatMessages();"
       ]
     },
     {
@@ -546,8 +546,6 @@
         }
       ],
       "source": [
-        "const text = \"The solar system is large, but earth has only 1 moon.\";\n",
-        "\n",
         "for (let i = 0; i < 5; i++) {\n",
         "  const result = await extractionRunnable.invoke({\n",
         "    text,\n",
diff --git a/docs/core_docs/docs/how_to/extraction_long_text.ipynb b/docs/core_docs/docs/how_to/extraction_long_text.ipynb
index 510b76e5e28f..fbe07aae4337 100644
--- a/docs/core_docs/docs/how_to/extraction_long_text.ipynb
+++ b/docs/core_docs/docs/how_to/extraction_long_text.ipynb
@@ -40,7 +40,7 @@
         "<IntegrationInstallTooltip></IntegrationInstallTooltip>\n",
         "\n",
         "<Npm2Yarn>\n",
-        "  @langchain/openai zod cheerio\n",
+        "  @langchain/openai @langchain/core zod cheerio\n",
         "</Npm2Yarn>\n",
         "```\n",
         "\n",
@@ -326,7 +326,7 @@
       "metadata": {},
       "outputs": [],
       "source": [
-        "const results = await ragExtractor.invoke(\"Key developments associated with cars\");"
+        "const ragExtractorResults = await ragExtractor.invoke(\"Key developments associated with cars\");"
       ]
     },
     {
@@ -363,7 +363,7 @@
         }
       ],
       "source": [
-        "results.key_developments;"
+        "ragExtractorResults.key_developments;"
       ]
     },
     {
diff --git a/docs/core_docs/docs/how_to/extraction_parse.ipynb b/docs/core_docs/docs/how_to/extraction_parse.ipynb
index d42b46dbca1d..b1760ea7c2bd 100644
--- a/docs/core_docs/docs/how_to/extraction_parse.ipynb
+++ b/docs/core_docs/docs/how_to/extraction_parse.ipynb
@@ -30,7 +30,7 @@
         "<IntegrationInstallTooltip></IntegrationInstallTooltip>\n",
         "\n",
         "<Npm2Yarn>\n",
-        "  @langchain/anthropic zod zod-to-json-schema\n",
+        "  @langchain/anthropic @langchain/core zod zod-to-json-schema\n",
         "</Npm2Yarn>\n",
         "```"
       ]
@@ -83,7 +83,7 @@
         "import { StructuredOutputParser } from \"langchain/output_parsers\";\n",
         "import { ChatPromptTemplate } from \"@langchain/core/prompts\";\n",
         "\n",
-        "const personSchema = z.object({\n",
+        "let personSchema = z.object({\n",
         "  name: z.optional(z.string()).describe(\"The name of the person\"),\n",
         "  hair_color: z.optional(z.string()).describe(\"The color of the person's hair, if known\"),\n",
         "  height_in_meters: z.optional(z.string()).describe(\"Height measured in meters\")\n",
@@ -211,7 +211,7 @@
         "import { z } from \"zod\";\n",
         "import { zodToJsonSchema } from \"zod-to-json-schema\";\n",
         "\n",
-        "const personSchema = z.object({\n",
+        "personSchema = z.object({\n",
         "  name: z.optional(z.string()).describe(\"The name of the person\"),\n",
         "  hair_color: z.optional(z.string()).describe(\"The color of the person's hair, if known\"),\n",
         "  height_in_meters: z.optional(z.string()).describe(\"Height measured in meters\")\n",
@@ -227,7 +227,7 @@
         "  \"Make sure to wrap the answer in ```json and ``` tags. Conform to the given schema exactly.\",\n",
         "].join(\"\\n\");\n",
         "\n",
-        "const prompt = ChatPromptTemplate.fromMessages([\n",
+        "const customParsingPrompt = ChatPromptTemplate.fromMessages([\n",
         "  [\"system\", SYSTEM_PROMPT_TEMPLATE],\n",
         "  [\"human\", \"{query}\"],\n",
         "]);\n",
@@ -271,14 +271,14 @@
         }
       ],
       "source": [
-        "const query = \"Anna is 23 years old and she is 6 feet tall\";\n",
+        "const customParsingQuery = \"Anna is 23 years old and she is 6 feet tall\";\n",
         "\n",
-        "const promptValue = await prompt.invoke({\n",
+        "const customParsingPromptValue = await customParsingPrompt.invoke({\n",
         "  schema: zodToJsonSchema(peopleSchema),\n",
-        "  query\n",
+        "  customParsingQuery\n",
         "});\n",
         "\n",
-        "promptValue.toString();"
+        "customParsingPromptValue.toString();"
       ]
     },
     {
@@ -299,11 +299,11 @@
         }
       ],
       "source": [
-        "const chain = prompt.pipe(model).pipe(extractJsonFromOutput);\n",
+        "const customParsingChain = prompt.pipe(model).pipe(extractJsonFromOutput);\n",
         "\n",
-        "await chain.invoke({\n",
+        "await customParsingChain.invoke({\n",
         "  schema: zodToJsonSchema(peopleSchema),\n",
-        "  query,\n",
+        "  customParsingQuery,\n",
         "});"
       ]
     },
diff --git a/docs/core_docs/docs/how_to/fallbacks.mdx b/docs/core_docs/docs/how_to/fallbacks.mdx
index 2e4e7f905278..c3a62cb93dfb 100644
--- a/docs/core_docs/docs/how_to/fallbacks.mdx
+++ b/docs/core_docs/docs/how_to/fallbacks.mdx
@@ -33,7 +33,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @langchain/anthropic @langchain/openai
+npm install @langchain/anthropic @langchain/openai @langchain/core
 ```
 
 <CodeBlock language="typescript">{ModelExample}</CodeBlock>
diff --git a/docs/core_docs/docs/how_to/few_shot.mdx b/docs/core_docs/docs/how_to/few_shot.mdx
index 792a9fd361e4..67b0807f2396 100644
--- a/docs/core_docs/docs/how_to/few_shot.mdx
+++ b/docs/core_docs/docs/how_to/few_shot.mdx
@@ -87,7 +87,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @langchain/openai
+npm install @langchain/openai @langchain/core
 ```
 
 ```typescript
diff --git a/docs/core_docs/docs/how_to/few_shot_examples.ipynb b/docs/core_docs/docs/how_to/few_shot_examples.ipynb
index 2725480eb258..0934a66a42a4 100644
--- a/docs/core_docs/docs/how_to/few_shot_examples.ipynb
+++ b/docs/core_docs/docs/how_to/few_shot_examples.ipynb
@@ -19,7 +19,7 @@
     "\n",
     "In this guide, we'll learn how to create a simple prompt template that provides the model with example inputs and outputs when generating. Providing the LLM with a few such examples is called few-shotting, and is a simple yet powerful way to guide generation and in some cases drastically improve model performance.\n",
     "\n",
-    "A few-shot prompt template can be constructed from either a set of examples, or from an [Example Selector](https://v02.api.js.langchain.com/classes/langchain_core.example_selectors.BaseExampleSelector.html) class responsible for choosing a subset of examples from the defined set.\n",
+    "A few-shot prompt template can be constructed from either a set of examples, or from an [Example Selector](https://api.js.langchain.com/classes/langchain_core.example_selectors.BaseExampleSelector.html) class responsible for choosing a subset of examples from the defined set.\n",
     "\n",
     "This guide will cover few-shotting with string prompt templates. For a guide on few-shotting with chat messages for chat models, see [here](/docs/how_to/few_shot_examples_chat/).\n",
     "\n",
@@ -127,7 +127,7 @@
    "source": [
     "### Pass the examples and formatter to `FewShotPromptTemplate`\n",
     "\n",
-    "Finally, create a [`FewShotPromptTemplate`](https://v02.api.js.langchain.com/classes/langchain_core.prompts.FewShotPromptTemplate.html) object. This object takes in the few-shot examples and the formatter for the few-shot examples. When this `FewShotPromptTemplate` is formatted, it formats the passed examples using the `examplePrompt`, then and adds them to the final prompt before `suffix`:"
+    "Finally, create a [`FewShotPromptTemplate`](https://api.js.langchain.com/classes/langchain_core.prompts.FewShotPromptTemplate.html) object. This object takes in the few-shot examples and the formatter for the few-shot examples. When this `FewShotPromptTemplate` is formatted, it formats the passed examples using the `examplePrompt`, then and adds them to the final prompt before `suffix`:"
    ]
   },
   {
@@ -219,7 +219,7 @@
    "source": [
     "## Using an example selector\n",
     "\n",
-    "We will reuse the example set and the formatter from the previous section. However, instead of feeding the examples directly into the `FewShotPromptTemplate` object, we will feed them into an implementation of `ExampleSelector` called [`SemanticSimilarityExampleSelector`](https://v02.api.js.langchain.com/classes/langchain_core.example_selectors.SemanticSimilarityExampleSelector.html) instance. This class selects few-shot examples from the initial set based on their similarity to the input. It uses an embedding model to compute the similarity between the input and the few-shot examples, as well as a vector store to perform the nearest neighbor search.\n",
+    "We will reuse the example set and the formatter from the previous section. However, instead of feeding the examples directly into the `FewShotPromptTemplate` object, we will feed them into an implementation of `ExampleSelector` called [`SemanticSimilarityExampleSelector`](https://api.js.langchain.com/classes/langchain_core.example_selectors.SemanticSimilarityExampleSelector.html) instance. This class selects few-shot examples from the initial set based on their similarity to the input. It uses an embedding model to compute the similarity between the input and the few-shot examples, as well as a vector store to perform the nearest neighbor search.\n",
     "\n",
     "To show what it looks like, let's initialize an instance and call it in isolation:"
    ]
diff --git a/docs/core_docs/docs/how_to/few_shot_examples_chat.ipynb b/docs/core_docs/docs/how_to/few_shot_examples_chat.ipynb
index 564736436c25..b61090b0a850 100644
--- a/docs/core_docs/docs/how_to/few_shot_examples_chat.ipynb
+++ b/docs/core_docs/docs/how_to/few_shot_examples_chat.ipynb
@@ -19,7 +19,7 @@
     "\n",
     "This guide covers how to prompt a chat model with example inputs and outputs. Providing the model with a few such examples is called few-shotting, and is a simple yet powerful way to guide generation and in some cases drastically improve model performance.\n",
     "\n",
-    "There does not appear to be solid consensus on how best to do few-shot prompting, and the optimal prompt compilation will likely vary by model. Because of this, we provide few-shot prompt templates like the [FewShotChatMessagePromptTemplate](https://v02.api.js.langchain.com/classes/langchain_core.prompts.FewShotChatMessagePromptTemplate.html) as a flexible starting point, and you can modify or replace them as you see fit.\n",
+    "There does not appear to be solid consensus on how best to do few-shot prompting, and the optimal prompt compilation will likely vary by model. Because of this, we provide few-shot prompt templates like the [FewShotChatMessagePromptTemplate](https://api.js.langchain.com/classes/langchain_core.prompts.FewShotChatMessagePromptTemplate.html) as a flexible starting point, and you can modify or replace them as you see fit.\n",
     "\n",
     "The goal of few-shot prompt templates are to dynamically select examples based on an input, and then format the examples in a final prompt to provide for the model.\n",
     "\n",
@@ -50,7 +50,7 @@
     "\n",
     "The basic components of the template are:\n",
     "- `examples`: An array of object examples to include in the final prompt.\n",
-    "- `examplePrompt`: converts each example into 1 or more messages through its [`formatMessages`](https://v02.api.js.langchain.com/classes/langchain_core.prompts.FewShotChatMessagePromptTemplate.html#formatMessages) method. A common example would be to convert each example into one human message and one AI message response, or a human message followed by a function call message.\n",
+    "- `examplePrompt`: converts each example into 1 or more messages through its [`formatMessages`](https://api.js.langchain.com/classes/langchain_core.prompts.FewShotChatMessagePromptTemplate.html#formatMessages) method. A common example would be to convert each example into one human message and one AI message response, or a human message followed by a function call message.\n",
     "\n",
     "Below is a simple demonstration. First, define the examples you'd like to include:"
    ]
@@ -261,8 +261,8 @@
     "\n",
     "Sometimes you may want to select only a few examples from your overall set to show based on the input. For this, you can replace the `examples` passed into `FewShotChatMessagePromptTemplate` with an `exampleSelector`. The other components remain the same as above! Our dynamic few-shot prompt template would look like:\n",
     "\n",
-    "- `exampleSelector`: responsible for selecting few-shot examples (and the order in which they are returned) for a given input. These implement the [BaseExampleSelector](https://v02.api.js.langchain.com/classes/langchain_core.example_selectors.BaseExampleSelector.html) interface. A common example is the vectorstore-backed [SemanticSimilarityExampleSelector](https://v02.api.js.langchain.com/classes/langchain_core.example_selectors.SemanticSimilarityExampleSelector.html)\n",
-    "- `examplePrompt`: convert each example into 1 or more messages through its [`formatMessages`](https://v02.api.js.langchain.com/classes/langchain_core.prompts.FewShotChatMessagePromptTemplate.html#formatMessages) method. A common example would be to convert each example into one human message and one AI message response, or a human message followed by a function call message.\n",
+    "- `exampleSelector`: responsible for selecting few-shot examples (and the order in which they are returned) for a given input. These implement the [BaseExampleSelector](https://api.js.langchain.com/classes/langchain_core.example_selectors.BaseExampleSelector.html) interface. A common example is the vectorstore-backed [SemanticSimilarityExampleSelector](https://api.js.langchain.com/classes/langchain_core.example_selectors.SemanticSimilarityExampleSelector.html)\n",
+    "- `examplePrompt`: convert each example into 1 or more messages through its [`formatMessages`](https://api.js.langchain.com/classes/langchain_core.prompts.FewShotChatMessagePromptTemplate.html#formatMessages) method. A common example would be to convert each example into one human message and one AI message response, or a human message followed by a function call message.\n",
     "\n",
     "These once again can be composed with other messages and chat templates to assemble your final prompt.\n",
     "\n",
diff --git a/docs/core_docs/docs/how_to/functions.ipynb b/docs/core_docs/docs/how_to/functions.ipynb
index ec2a5b4f2e04..fac849d56f2f 100644
--- a/docs/core_docs/docs/how_to/functions.ipynb
+++ b/docs/core_docs/docs/how_to/functions.ipynb
@@ -26,7 +26,7 @@
     "\n",
     ":::\n",
     "\n",
-    "You can use arbitrary functions as [Runnables](https://v02.api.js.langchain.com/classes/langchain_core.runnables.Runnable.html). This is useful for formatting or when you need functionality not provided by other LangChain components, and custom functions used as Runnables are called [`RunnableLambdas`](https://v02.api.js.langchain.com/classes/langchain_core.runnables.RunnableLambda.html).\n",
+    "You can use arbitrary functions as [Runnables](https://api.js.langchain.com/classes/langchain_core.runnables.Runnable.html). This is useful for formatting or when you need functionality not provided by other LangChain components, and custom functions used as Runnables are called [`RunnableLambdas`](https://api.js.langchain.com/classes/langchain_core.runnables.RunnableLambda.html).\n",
     "\n",
     "Note that all inputs to these functions need to be a SINGLE argument. If you have a function that accepts multiple arguments, you should write a wrapper that accepts a single dict input and unpacks it into multiple argument.\n",
     "\n",
@@ -48,7 +48,7 @@
     "<IntegrationInstallTooltip></IntegrationInstallTooltip>\n",
     "\n",
     "<Npm2Yarn>\n",
-    "  @langchain/openai\n",
+    "  @langchain/openai @langchain/core\n",
     "</Npm2Yarn>\n",
     "```"
    ]
@@ -105,7 +105,7 @@
    "source": [
     "## Automatic coercion in chains\n",
     "\n",
-    "When using custom functions in chains with [`RunnableSequence.from`](https://v02.api.js.langchain.com/classes/langchain_core.runnables.RunnableSequence.html#from) static method, you can omit the explicit `RunnableLambda` creation and rely on coercion.\n",
+    "When using custom functions in chains with [`RunnableSequence.from`](https://api.js.langchain.com/classes/langchain_core.runnables.RunnableSequence.html#from) static method, you can omit the explicit `RunnableLambda` creation and rely on coercion.\n",
     "\n",
     "Here's a simple example with a function that takes the output from the model and returns the first five letters of it:"
    ]
@@ -130,13 +130,13 @@
    "source": [
     "import { RunnableSequence } from \"@langchain/core/runnables\";\n",
     "\n",
-    "const prompt = ChatPromptTemplate.fromTemplate(\"Tell me a short story about {topic}\");\n",
+    "const storyPrompt = ChatPromptTemplate.fromTemplate(\"Tell me a short story about {topic}\");\n",
     "\n",
-    "const model = new ChatOpenAI({ model: \"gpt-4o\" });\n",
+    "const storyModel = new ChatOpenAI({ model: \"gpt-4o\" });\n",
     "\n",
     "const chainWithCoercedFunction = RunnableSequence.from([\n",
-    "  prompt,\n",
-    "  model,\n",
+    "  storyPrompt,\n",
+    "  storyModel,\n",
     "  (input) => input.content.slice(0, 5),\n",
     "]);\n",
     "\n",
@@ -152,7 +152,7 @@
     "\n",
     "## Passing run metadata\n",
     "\n",
-    "Runnable lambdas can optionally accept a [RunnableConfig](https://v02.api.js.langchain.com/interfaces/langchain_core.runnables.RunnableConfig.html) parameter, which they can use to pass callbacks, tags, and other configuration information to nested runs."
+    "Runnable lambdas can optionally accept a [RunnableConfig](https://api.js.langchain.com/interfaces/langchain_core.runnables.RunnableConfig.html) parameter, which they can use to pass callbacks, tags, and other configuration information to nested runs."
    ]
   },
   {
@@ -253,11 +253,11 @@
     }
    ],
    "source": [
-    "const prompt = ChatPromptTemplate.fromTemplate(\n",
+    "const streamingPrompt = ChatPromptTemplate.fromTemplate(\n",
     "  \"Write a comma-separated list of 5 animals similar to: {animal}. Do not include numbers\"\n",
     ");\n",
     "\n",
-    "const strChain = prompt.pipe(model).pipe(new StringOutputParser());\n",
+    "const strChain = streamingPrompt.pipe(model).pipe(new StringOutputParser());\n",
     "\n",
     "const stream = await strChain.stream({ animal: \"bear\" });\n",
     "\n",
@@ -317,9 +317,9 @@
     "\n",
     "const listChain = strChain.pipe(splitIntoList);\n",
     "\n",
-    "const stream = await listChain.stream({\"animal\": \"bear\"});\n",
+    "const listChainStream = await listChain.stream({\"animal\": \"bear\"});\n",
     "\n",
-    "for await (const chunk of stream) {\n",
+    "for await (const chunk of listChainStream) {\n",
     "  console.log(chunk);\n",
     "}"
    ]
diff --git a/docs/core_docs/docs/how_to/graph_constructing.ipynb b/docs/core_docs/docs/how_to/graph_constructing.ipynb
index 8a78dc81aee4..dfee57df8191 100644
--- a/docs/core_docs/docs/how_to/graph_constructing.ipynb
+++ b/docs/core_docs/docs/how_to/graph_constructing.ipynb
@@ -28,7 +28,7 @@
         "<IntegrationInstallTooltip></IntegrationInstallTooltip>\n",
         "\n",
         "<Npm2Yarn>\n",
-        "  langchain @langchain/community @langchain/openai neo4j-driver zod\n",
+        "  langchain @langchain/community @langchain/openai @langchain/core neo4j-driver zod\n",
         "</Npm2Yarn>\n",
         "```\n",
         "\n",
@@ -75,9 +75,9 @@
         "import \"neo4j-driver\";\n",
         "import { Neo4jGraph } from \"@langchain/community/graphs/neo4j_graph\";\n",
         "\n",
-        "const url = Deno.env.get(\"NEO4J_URI\");\n",
-        "const username = Deno.env.get(\"NEO4J_USER\");\n",
-        "const password = Deno.env.get(\"NEO4J_PASSWORD\");\n",
+        "const url = process.env.NEO4J_URI;\n",
+        "const username = process.env.NEO4J_USER;\n",
+        "const password = process.env.NEO4J_PASSWORD;\n",
         "const graph = await Neo4jGraph.initialize({ url, username, password });"
       ]
     },
diff --git a/docs/core_docs/docs/how_to/graph_mapping.ipynb b/docs/core_docs/docs/how_to/graph_mapping.ipynb
index f715f75b9c5e..413d8f30f941 100644
--- a/docs/core_docs/docs/how_to/graph_mapping.ipynb
+++ b/docs/core_docs/docs/how_to/graph_mapping.ipynb
@@ -27,7 +27,7 @@
         "<IntegrationInstallTooltip></IntegrationInstallTooltip>\n",
         "\n",
         "<Npm2Yarn>\n",
-        "  langchain @langchain/community @langchain/openai neo4j-driver zod\n",
+        "  langchain @langchain/community @langchain/openai @langchain/core neo4j-driver zod\n",
         "</Npm2Yarn>\n",
         "```\n",
         "\n",
@@ -92,9 +92,9 @@
         "import \"neo4j-driver\";\n",
         "import { Neo4jGraph } from \"@langchain/community/graphs/neo4j_graph\";\n",
         "\n",
-        "const url = Deno.env.get(\"NEO4J_URI\");\n",
-        "const username = Deno.env.get(\"NEO4J_USER\");\n",
-        "const password = Deno.env.get(\"NEO4J_PASSWORD\");\n",
+        "const url = process.env.NEO4J_URI;\n",
+        "const username = process.env.NEO4J_USER;\n",
+        "const password = process.env.NEO4J_PASSWORD;\n",
         "const graph = await Neo4jGraph.initialize({ url, username, password });\n",
         "\n",
         "// Import movie information\n",
@@ -140,25 +140,25 @@
         "\n",
         "const llm = new ChatOpenAI({ model: \"gpt-3.5-turbo\", temperature: 0 })\n",
         "\n",
-        "const entities = z.object({\n",
+        "const entitySchema = z.object({\n",
         "    names: z.array(z.string()).describe(\"All the person or movies appearing in the text\"),\n",
         "}).describe(\"Identifying information about entities.\");\n",
         "\n",
         "\n",
         "const prompt = ChatPromptTemplate.fromMessages(\n",
+        "  [\n",
         "    [\n",
-        "        [\n",
-        "            \"system\",\n",
-        "        \"You are extracting person and movies from the text.\"\n",
-        "        ],\n",
-        "        [\n",
-        "            \"human\",\n",
-        "            \"Use the given format to extract information from the following\\ninput: {question}\"\n",
-        "        ]\n",
+        "      \"system\",\n",
+        "      \"You are extracting person and movies from the text.\"\n",
+        "    ],\n",
+        "    [\n",
+        "      \"human\",\n",
+        "      \"Use the given format to extract information from the following\\ninput: {question}\"\n",
         "    ]\n",
-        ")\n",
+        "  ]\n",
+        ");\n",
         "\n",
-        "const entityChain = prompt.pipe(llm.withStructuredOutput(entities));"
+        "const entityChain = prompt.pipe(llm.withStructuredOutput(entitySchema));"
       ]
     },
     {
diff --git a/docs/core_docs/docs/how_to/graph_prompting.ipynb b/docs/core_docs/docs/how_to/graph_prompting.ipynb
index 209990169bf9..69024e9488b6 100644
--- a/docs/core_docs/docs/how_to/graph_prompting.ipynb
+++ b/docs/core_docs/docs/how_to/graph_prompting.ipynb
@@ -23,7 +23,7 @@
         "<IntegrationInstallTooltip></IntegrationInstallTooltip>\n",
         "\n",
         "<Npm2Yarn>\n",
-        "  langchain @langchain/community @langchain/openai neo4j-driver\n",
+        "  langchain @langchain/community @langchain/openai @langchain/core neo4j-driver\n",
         "</Npm2Yarn>\n",
         "```\n",
         "\n",
@@ -65,9 +65,9 @@
       "metadata": {},
       "outputs": [],
       "source": [
-        "const url = Deno.env.get(\"NEO4J_URI\");\n",
-        "const username = Deno.env.get(\"NEO4J_USER\");\n",
-        "const password = Deno.env.get(\"NEO4J_PASSWORD\");"
+        "const url = process.env.NEO4J_URI;\n",
+        "const username = process.env.NEO4J_USER;\n",
+        "const password = process.env.NEO4J_PASSWORD;"
       ]
     },
     {
@@ -281,7 +281,7 @@
         "\n",
         "If we have enough examples, we may want to only include the most relevant ones in the prompt, either because they don't fit in the model's context window or because the long tail of examples distracts the model. And specifically, given any input we want to include the examples most relevant to that input.\n",
         "\n",
-        "We can do just this using an ExampleSelector. In this case we'll use a [SemanticSimilarityExampleSelector](https://v02.api.js.langchain.com/classes/langchain_core.example_selectors.SemanticSimilarityExampleSelector.html), which will store the examples in the vector database of our choosing. At runtime it will perform a similarity search between the input and our examples, and return the most semantically similar ones: "
+        "We can do just this using an ExampleSelector. In this case we'll use a [SemanticSimilarityExampleSelector](https://api.js.langchain.com/classes/langchain_core.example_selectors.SemanticSimilarityExampleSelector.html), which will store the examples in the vector database of our choosing. At runtime it will perform a similarity search between the input and our examples, and return the most semantically similar ones: "
       ]
     },
     {
@@ -363,7 +363,7 @@
       "metadata": {},
       "outputs": [],
       "source": [
-        "const prompt = new FewShotPromptTemplate({\n",
+        "const promptWithExampleSelector = new FewShotPromptTemplate({\n",
         "  exampleSelector,\n",
         "  examplePrompt,\n",
         "  prefix: \"You are a Neo4j expert. Given an input question, create a syntactically correct Cypher query to run.\\n\\nHere is the schema information\\n{schema}.\\n\\nBelow are a number of examples of questions and their corresponding Cypher queries.\",\n",
@@ -409,7 +409,7 @@
         }
       ],
       "source": [
-        "console.log(await prompt.format({ question: \"how many artists are there?\", schema: \"foo\" }))"
+        "console.log(await promptWithExampleSelector.format({ question: \"how many artists are there?\", schema: \"foo\" }))"
       ]
     },
     {
@@ -429,7 +429,7 @@
         "  {\n",
         "    graph,\n",
         "    llm,\n",
-        "    cypherPrompt: prompt,\n",
+        "    cypherPrompt: promptWithExampleSelector,\n",
         "  }\n",
         ")"
       ]
diff --git a/docs/core_docs/docs/how_to/graph_semantic.ipynb b/docs/core_docs/docs/how_to/graph_semantic.ipynb
index a8c619c944d2..342f342a7731 100644
--- a/docs/core_docs/docs/how_to/graph_semantic.ipynb
+++ b/docs/core_docs/docs/how_to/graph_semantic.ipynb
@@ -30,7 +30,7 @@
         "<IntegrationInstallTooltip></IntegrationInstallTooltip>\n",
         "\n",
         "<Npm2Yarn>\n",
-        "  langchain @langchain/community @langchain/openai neo4j-driver zod\n",
+        "  langchain @langchain/community @langchain/openai @langchain/core neo4j-driver zod\n",
         "</Npm2Yarn>\n",
         "```\n",
         "\n",
@@ -95,9 +95,9 @@
         "import \"neo4j-driver\";\n",
         "import { Neo4jGraph } from \"@langchain/community/graphs/neo4j_graph\";\n",
         "\n",
-        "const url = Deno.env.get(\"NEO4J_URI\");\n",
-        "const username = Deno.env.get(\"NEO4J_USER\");\n",
-        "const password = Deno.env.get(\"NEO4J_PASSWORD\");\n",
+        "const url = process.env.NEO4J_URI;\n",
+        "const username = process.env.NEO4J_USER;\n",
+        "const password = process.env.NEO4J_PASSWORD;\n",
         "const graph = await Neo4jGraph.initialize({ url, username, password });\n",
         "\n",
         "// Import movie information\n",
diff --git a/docs/core_docs/docs/how_to/index.mdx b/docs/core_docs/docs/how_to/index.mdx
index e9f756ab7953..dc689959b131 100644
--- a/docs/core_docs/docs/how_to/index.mdx
+++ b/docs/core_docs/docs/how_to/index.mdx
@@ -200,7 +200,7 @@ For in depth how-to guides for agents, please check out [LangGraph](https://lang
 - [How to: attach callbacks to a module](/docs/how_to/callbacks_attach)
 - [How to: pass callbacks into a module constructor](/docs/how_to/callbacks_constructor)
 - [How to: create custom callback handlers](/docs/how_to/custom_callbacks)
-- [How to: make callbacks run in the background](/docs/how_to/callbacks_backgrounding)
+- [How to: await callbacks in serverless environments](/docs/how_to/callbacks_serverless)
 - [How to: dispatch custom callback events](/docs/how_to/callbacks_custom_events)
 
 ### Custom
diff --git a/docs/core_docs/docs/how_to/installation.mdx b/docs/core_docs/docs/how_to/installation.mdx
index 38a918a4effa..cbeb1d54bcf5 100644
--- a/docs/core_docs/docs/how_to/installation.mdx
+++ b/docs/core_docs/docs/how_to/installation.mdx
@@ -27,7 +27,7 @@ import TabItem from "@theme/TabItem";
 import CodeBlock from "@theme/CodeBlock";
 
 ```bash npm2yarn
-npm install langchain
+npm install langchain @langchain/core
 ```
 
 While this package acts as a sane starting point to using LangChain,
@@ -46,12 +46,8 @@ A directed arrow indicates that the source package depends on the target package
 
 ![](/img/ecosystem_packages.png)
 
-When installing a package, you do not need to explicitly install that package's explicit dependencies (such as `@langchain/core`).
-However, you may choose to if you are using a feature only available in a certain version of that dependency.
-If you do, you should make sure that the installed or pinned version is compatible with any other integration packages you use.
-
 **Note:** It is important that your app only uses one version of `@langchain/core`. Common package managers may introduce additional versions
-when resolving dependencies, even if you don't intend this. See [this section on installing integration packages](/docs/how_to/installation/#installing-integration-packages)
+when resolving direct dependencies, even if you don't intend this. See [this section on installing integration packages](/docs/how_to/installation/#installing-integration-packages)
 for more information and ways to remedy this.
 
 ### @langchain/community
@@ -60,7 +56,7 @@ The [@langchain/community](https://www.npmjs.com/package/@langchain/community) p
 Install with:
 
 ```bash npm2yarn
-npm install @langchain/community
+npm install @langchain/community @langchain/core
 ```
 
 There are also more granular packages containing LangChain integrations for individual providers.
@@ -68,7 +64,7 @@ There are also more granular packages containing LangChain integrations for indi
 ### @langchain/core
 
 The [@langchain/core](https://www.npmjs.com/package/@langchain/core) package contains base abstractions that the rest of the LangChain ecosystem uses, along with the LangChain Expression Language.
-It is automatically installed along with `langchain`, but can also be used separately. Install with:
+It should be installed separately:
 
 ```bash npm2yarn
 npm install @langchain/core
@@ -82,7 +78,7 @@ It integrates smoothly with LangChain, but can be used without it.
 Install with:
 
 ```bash npm2yarn
-npm install @langchain/langgraph
+npm install @langchain/langgraph @langchain/core
 ```
 
 ### LangSmith SDK
@@ -104,11 +100,12 @@ LangChain supports packages that contain module integrations with individual thi
 They can be as specific as [`@langchain/anthropic`](/docs/integrations/platforms/anthropic/), which contains integrations just for Anthropic models,
 or as broad as [`@langchain/community`](https://www.npmjs.com/package/@langchain/community), which contains broader variety of community contributed integrations.
 
-These packages, as well as the main LangChain package, all depend on [`@langchain/core`](https://www.npmjs.com/package/@langchain/core), which contains the base abstractions
-that these integration packages extend.
+These packages, as well as the main LangChain package, all have [`@langchain/core`](https://www.npmjs.com/package/@langchain/core) as a peer dependency
+to avoid package managers installing multiple versions of the same package. It contains the base abstractions that these integration packages extend.
 
 To ensure that all integrations and their types interact with each other properly, it is important that they all use the same version of `@langchain/core`.
-The best way to guarantee this is to add a `"resolutions"` or `"overrides"` field like the following in your project's `package.json`. The name will depend on your package manager:
+If you encounter type errors around base classes, you may need to guarantee that your package manager is resolving a single version of `@langchain/core`. To do so,
+you can add a `"resolutions"` or `"overrides"` field like the following in your project's `package.json`. The name will depend on your package manager:
 
 :::tip
 The `resolutions` or `pnpm.overrides` fields for `yarn` or `pnpm` must be set in the root `package.json` file.
@@ -126,10 +123,11 @@ If you are using `yarn`:
   },
   "dependencies": {
     "@langchain/anthropic": "^0.0.2",
+    "@langchain/core": "^0.3.0",
     "langchain": "0.0.207"
   },
   "resolutions": {
-    "@langchain/core": "0.1.5"
+    "@langchain/core": "0.3.0"
   }
 }
 ```
@@ -148,10 +146,11 @@ Or for `npm`:
   },
   "dependencies": {
     "@langchain/anthropic": "^0.0.2",
+    "@langchain/core": "^0.3.0",
     "langchain": "0.0.207"
   },
   "overrides": {
-    "@langchain/core": "0.1.5"
+    "@langchain/core": "0.3.0"
   }
 }
 ```
@@ -170,11 +169,12 @@ Or for `pnpm`:
   },
   "dependencies": {
     "@langchain/anthropic": "^0.0.2",
+    "@langchain/core": "^0.3.0",
     "langchain": "0.0.207"
   },
   "pnpm": {
     "overrides": {
-      "@langchain/core": "0.1.5"
+      "@langchain/core": "0.3.0"
     }
   }
 }
@@ -193,11 +193,11 @@ LangChain is written in TypeScript and provides type definitions for all of its
 LangChain provides an ESM build targeting Node.js environments. You can import it using the following syntax:
 
 ```bash npm2yarn
-npm install @langchain/openai
+npm install @langchain/openai @langchain/core
 ```
 
 ```typescript
-import { OpenAI } from "@langchain/openai";
+import { ChatOpenAI } from "@langchain/openai";
 ```
 
 If you are using TypeScript in an ESM project we suggest updating your `tsconfig.json` to include the following:
@@ -217,7 +217,7 @@ If you are using TypeScript in an ESM project we suggest updating your `tsconfig
 LangChain provides a CommonJS build targeting Node.js environments. You can import it using the following syntax:
 
 ```typescript
-const { OpenAI } = require("@langchain/openai");
+const { ChatOpenAI } = require("@langchain/openai");
 ```
 
 ### Cloudflare Workers
@@ -225,7 +225,7 @@ const { OpenAI } = require("@langchain/openai");
 LangChain can be used in Cloudflare Workers. You can import it using the following syntax:
 
 ```typescript
-import { OpenAI } from "@langchain/openai";
+import { ChatOpenAI } from "@langchain/openai";
 ```
 
 ### Vercel / Next.js
@@ -233,7 +233,7 @@ import { OpenAI } from "@langchain/openai";
 LangChain can be used in Vercel / Next.js. We support using LangChain in frontend components, in Serverless functions and in Edge functions. You can import it using the following syntax:
 
 ```typescript
-import { OpenAI } from "@langchain/openai";
+import { ChatOpenAI } from "@langchain/openai";
 ```
 
 ### Deno / Supabase Edge Functions
@@ -241,23 +241,21 @@ import { OpenAI } from "@langchain/openai";
 LangChain can be used in Deno / Supabase Edge Functions. You can import it using the following syntax:
 
 ```typescript
-import { OpenAI } from "https://esm.sh/@langchain/openai";
+import { ChatOpenAI } from "https://esm.sh/@langchain/openai";
 ```
 
 or
 
 ```typescript
-import { OpenAI } from "npm:@langchain/openai";
+import { ChatOpenAI } from "npm:@langchain/openai";
 ```
 
-We recommend looking at our [Supabase Template](https://github.com/langchain-ai/langchain-template-supabase) for an example of how to use LangChain in Supabase Edge Functions.
-
 ### Browser
 
 LangChain can be used in the browser. In our CI we test bundling LangChain with Webpack and Vite, but other bundlers should work too. You can import it using the following syntax:
 
 ```typescript
-import { OpenAI } from "@langchain/openai";
+import { ChatOpenAI } from "@langchain/openai";
 ```
 
 ## Unsupported: Node.js 16
diff --git a/docs/core_docs/docs/how_to/lcel_cheatsheet.ipynb b/docs/core_docs/docs/how_to/lcel_cheatsheet.ipynb
index 331dfe28f0ea..60b27f3335e2 100644
--- a/docs/core_docs/docs/how_to/lcel_cheatsheet.ipynb
+++ b/docs/core_docs/docs/how_to/lcel_cheatsheet.ipynb
@@ -451,7 +451,7 @@
     "\n",
     "const fallback = RunnableLambda.from((x: any) => x + x);\n",
     "\n",
-    "const chain = runnable.withFallbacks({ fallbacks: [fallback] });\n",
+    "const chain = runnable.withFallbacks([fallback]);\n",
     "\n",
     "await chain.invoke(\"foo\");"
    ]
@@ -673,7 +673,7 @@
    "metadata": {},
    "source": [
     "### Generate a stream of internal events\n",
-    "#### [runnable.streamEvents()](https://v02.api.js.langchain.com/classes/langchain_core.runnables.Runnable.html#streamEvents)"
+    "#### [runnable.streamEvents()](https://api.js.langchain.com/classes/langchain_core.runnables.Runnable.html#streamEvents)"
    ]
   },
   {
diff --git a/docs/core_docs/docs/how_to/llm_caching.mdx b/docs/core_docs/docs/how_to/llm_caching.mdx
index 74bef765e8b1..05dcbb75538e 100644
--- a/docs/core_docs/docs/how_to/llm_caching.mdx
+++ b/docs/core_docs/docs/how_to/llm_caching.mdx
@@ -16,7 +16,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @langchain/openai
+npm install @langchain/openai @langchain/core
 ```
 
 ```typescript
diff --git a/docs/core_docs/docs/how_to/llm_token_usage_tracking.mdx b/docs/core_docs/docs/how_to/llm_token_usage_tracking.mdx
index 80b4c5f56125..360dcef46c4d 100644
--- a/docs/core_docs/docs/how_to/llm_token_usage_tracking.mdx
+++ b/docs/core_docs/docs/how_to/llm_token_usage_tracking.mdx
@@ -24,7 +24,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @langchain/openai
+npm install @langchain/openai @langchain/core
 ```
 
 <CodeBlock language="typescript">{Example}</CodeBlock>
diff --git a/docs/core_docs/docs/how_to/logprobs.ipynb b/docs/core_docs/docs/how_to/logprobs.ipynb
index 66cb797fdcbe..3598e783d4a3 100644
--- a/docs/core_docs/docs/how_to/logprobs.ipynb
+++ b/docs/core_docs/docs/how_to/logprobs.ipynb
@@ -34,7 +34,7 @@
     "<IntegrationInstallTooltip></IntegrationInstallTooltip>\n",
     "\n",
     "<Npm2Yarn>\n",
-    "  @langchain/openai\n",
+    "  @langchain/openai @langchain/core\n",
     "</Npm2Yarn>\n",
     "```"
    ]
@@ -408,15 +408,15 @@
     }
    ],
    "source": [
-    "const model = new ChatOpenAI({\n",
+    "const modelWithTopLogprobs = new ChatOpenAI({\n",
     "  model: \"gpt-4o\",\n",
     "  logprobs: true,\n",
     "  topLogprobs: 3,\n",
     "});\n",
     "\n",
-    "const responseMessage = await model.invoke(\"how are you today?\");\n",
+    "const res = await modelWithTopLogprobs.invoke(\"how are you today?\");\n",
     "\n",
-    "responseMessage.response_metadata.logprobs.content.slice(0, 5);"
+    "res.response_metadata.logprobs.content.slice(0, 5);"
    ]
   },
   {
diff --git a/docs/core_docs/docs/how_to/message_history.mdx b/docs/core_docs/docs/how_to/message_history.mdx
index fe1c9c294c39..2712135ff482 100644
--- a/docs/core_docs/docs/how_to/message_history.mdx
+++ b/docs/core_docs/docs/how_to/message_history.mdx
@@ -33,7 +33,7 @@ Let's take a look at some examples to see how it works.
 We'll use Upstash to store our chat message histories and Anthropic's claude-2 model so we'll need to install the following dependencies:
 
 ```bash npm2yarn
-npm install @langchain/anthropic @langchain/community @upstash/redis
+npm install @langchain/anthropic @langchain/community @langchain/core @upstash/redis
 ```
 
 You'll need to set environment variables for `ANTHROPIC_API_KEY` and grab your Upstash REST url and secret token.
diff --git a/docs/core_docs/docs/how_to/multi_vector.mdx b/docs/core_docs/docs/how_to/multi_vector.mdx
index a0feb0b7b782..50904987fa79 100644
--- a/docs/core_docs/docs/how_to/multi_vector.mdx
+++ b/docs/core_docs/docs/how_to/multi_vector.mdx
@@ -11,7 +11,7 @@ This guide assumes familiarity with the following concepts:
 :::
 
 Embedding different representations of an original document, then returning the original document when any of the representations result in a search hit, can allow you to
-tune and improve your retrieval performance. LangChain has a base [`MultiVectorRetriever`](https://v02.api.js.langchain.com/classes/langchain.retrievers_multi_vector.MultiVectorRetriever.html) designed to do just this!
+tune and improve your retrieval performance. LangChain has a base [`MultiVectorRetriever`](https://api.js.langchain.com/classes/langchain.retrievers_multi_vector.MultiVectorRetriever.html) designed to do just this!
 
 A lot of the complexity lies in how to create the multiple vectors per document.
 This guide covers some of the common ways to create those vectors and use the `MultiVectorRetriever`.
@@ -35,7 +35,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @langchain/openai @langchain/community
+npm install @langchain/openai @langchain/community @langchain/core
 ```
 
 import CodeBlock from "@theme/CodeBlock";
diff --git a/docs/core_docs/docs/how_to/multimodal_prompts.ipynb b/docs/core_docs/docs/how_to/multimodal_prompts.ipynb
index 0916444ead9d..bba9bfc42434 100644
--- a/docs/core_docs/docs/how_to/multimodal_prompts.ipynb
+++ b/docs/core_docs/docs/how_to/multimodal_prompts.ipynb
@@ -24,7 +24,7 @@
     "import Npm2Yarn from \"@theme/Npm2Yarn\"\n",
     "\n",
     "<Npm2Yarn>\n",
-    "  axios @langchain/core @langchain/openai\n",
+    "  axios @langchain/openai @langchain/core\n",
     "</Npm2Yarn>\n",
     "```"
    ]
@@ -123,7 +123,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "const prompt = ChatPromptTemplate.fromMessages(\n",
+    "const promptWithMultipleImages = ChatPromptTemplate.fromMessages(\n",
     "    [\n",
     "        [\"system\", \"compare the two pictures provided\"],\n",
     "        [\n",
@@ -150,7 +150,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "const chain = prompt.pipe(model);"
+    "const chainWithMultipleImages = promptWithMultipleImages.pipe(model);"
    ]
   },
   {
@@ -168,16 +168,16 @@
     }
    ],
    "source": [
-    "const response = await chain.invoke({ imageData1: base64, imageData2: base64 })\n",
-    "console.log(response.content)"
+    "const res = await chainWithMultipleImages.invoke({ imageData1: base64, imageData2: base64 })\n",
+    "console.log(res.content)"
    ]
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Deno",
+   "display_name": "TypeScript",
    "language": "typescript",
-   "name": "deno"
+   "name": "tslab"
   },
   "language_info": {
    "file_extension": ".ts",
diff --git a/docs/core_docs/docs/how_to/multiple_queries.ipynb b/docs/core_docs/docs/how_to/multiple_queries.ipynb
index a69c64a70fe4..b54012bb204a 100644
--- a/docs/core_docs/docs/how_to/multiple_queries.ipynb
+++ b/docs/core_docs/docs/how_to/multiple_queries.ipynb
@@ -20,7 +20,7 @@
     "But retrieval may produce different results with subtle changes in query wording or if the embeddings do not capture the semantics of the data well.\n",
     "Prompt engineering / tuning is sometimes done to manually address these problems, but can be tedious.\n",
     "\n",
-    "The [`MultiQueryRetriever`](https://v02.api.js.langchain.com/classes/langchain.retrievers_multi_query.MultiQueryRetriever.html) automates the process of prompt tuning by using an LLM to generate multiple queries from different perspectives for a given user input query.\n",
+    "The [`MultiQueryRetriever`](https://api.js.langchain.com/classes/langchain.retrievers_multi_query.MultiQueryRetriever.html) automates the process of prompt tuning by using an LLM to generate multiple queries from different perspectives for a given user input query.\n",
     "For each query, it retrieves a set of relevant documents and takes the unique union across all queries to get a larger set of potentially relevant documents.\n",
     "By generating multiple perspectives on the same question, the `MultiQueryRetriever` can help overcome some of the limitations of the distance-based retrieval and get a richer set of results.\n",
     "\n",
diff --git a/docs/core_docs/docs/how_to/output_parser_json.ipynb b/docs/core_docs/docs/how_to/output_parser_json.ipynb
index 2784dc0e8279..489852110408 100644
--- a/docs/core_docs/docs/how_to/output_parser_json.ipynb
+++ b/docs/core_docs/docs/how_to/output_parser_json.ipynb
@@ -31,7 +31,7 @@
    "id": "ae909b7a",
    "metadata": {},
    "source": [
-    "The [`JsonOutputParser`](https://v02.api.js.langchain.com/classes/langchain_core.output_parsers.JsonOutputParser.html) is one built-in option for prompting for and then parsing JSON output."
+    "The [`JsonOutputParser`](https://api.js.langchain.com/classes/langchain_core.output_parsers.JsonOutputParser.html) is one built-in option for prompting for and then parsing JSON output."
    ]
   },
   {
diff --git a/docs/core_docs/docs/how_to/output_parser_xml.ipynb b/docs/core_docs/docs/how_to/output_parser_xml.ipynb
index 665bc12d2d1a..0a05ae3080f3 100644
--- a/docs/core_docs/docs/how_to/output_parser_xml.ipynb
+++ b/docs/core_docs/docs/how_to/output_parser_xml.ipynb
@@ -35,7 +35,7 @@
     "<IntegrationInstallTooltip></IntegrationInstallTooltip>\n",
     "\n",
     "<Npm2Yarn>\n",
-    "  @langchain/anthropic\n",
+    "  @langchain/anthropic @langchain/core\n",
     "</Npm2Yarn>\n",
     "```"
    ]
@@ -268,10 +268,10 @@
     }
    ],
    "source": [
-    "const parser = new XMLOutputParser({ tags: [\"movies\", \"actor\", \"film\", \"name\", \"genre\"] });\n",
+    "const parserWithTags = new XMLOutputParser({ tags: [\"movies\", \"actor\", \"film\", \"name\", \"genre\"] });\n",
     "\n",
     "// We will add these instructions to the prompt below\n",
-    "parser.getFormatInstructions();"
+    "parserWithTags.getFormatInstructions();"
    ]
   },
   {
@@ -358,18 +358,18 @@
    "source": [
     "import { ChatPromptTemplate } from \"@langchain/core/prompts\";\n",
     "\n",
-    "const prompt = ChatPromptTemplate.fromTemplate(`{query}\\n{format_instructions}`);\n",
-    "const partialedPrompt = await prompt.partial({\n",
-    "  format_instructions: parser.getFormatInstructions(),\n",
+    "const promptWithTags = ChatPromptTemplate.fromTemplate(`{query}\\n{format_instructions}`);\n",
+    "const partialedPromptWithTags = await promptWithTags.partial({\n",
+    "  format_instructions: parserWithTags.getFormatInstructions(),\n",
     "});\n",
     "\n",
-    "const chain = partialedPrompt.pipe(model).pipe(parser);\n",
+    "const chainWithTags = partialedPromptWithTags.pipe(model).pipe(parserWithTags);\n",
     "\n",
-    "const output = await chain.invoke({\n",
+    "const outputWithTags = await chainWithTags.invoke({\n",
     "  query: \"Generate the shortened filmograph for Tom Hanks.\",\n",
     "});\n",
     "\n",
-    "console.log(JSON.stringify(output, null, 2));"
+    "console.log(JSON.stringify(outputWithTags, null, 2));"
    ]
   },
   {
diff --git a/docs/core_docs/docs/how_to/parallel.mdx b/docs/core_docs/docs/how_to/parallel.mdx
index 6a06f71b14a4..4ba2c4117c7b 100644
--- a/docs/core_docs/docs/how_to/parallel.mdx
+++ b/docs/core_docs/docs/how_to/parallel.mdx
@@ -9,7 +9,7 @@ This guide assumes familiarity with the following concepts:
 
 :::
 
-The [`RunnableParallel`](https://v02.api.js.langchain.com/classes/langchain_core.runnables.RunnableParallel.html) (also known as a `RunnableMap`) primitive is an object whose values are runnables (or things that can be coerced to runnables, like functions).
+The [`RunnableParallel`](https://api.js.langchain.com/classes/langchain_core.runnables.RunnableParallel.html) (also known as a `RunnableMap`) primitive is an object whose values are runnables (or things that can be coerced to runnables, like functions).
 It runs all of its values in parallel, and each value is called with the initial input to the `RunnableParallel`. The final return value is an object with the results of each value under its appropriate key.
 
 ## Formatting with `RunnableParallels`
@@ -34,7 +34,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @langchain/anthropic @langchain/cohere
+npm install @langchain/anthropic @langchain/cohere @langchain/core
 ```
 
 import CodeBlock from "@theme/CodeBlock";
diff --git a/docs/core_docs/docs/how_to/parent_document_retriever.mdx b/docs/core_docs/docs/how_to/parent_document_retriever.mdx
index 235c1d6d09d6..e5671e7dd3bc 100644
--- a/docs/core_docs/docs/how_to/parent_document_retriever.mdx
+++ b/docs/core_docs/docs/how_to/parent_document_retriever.mdx
@@ -21,7 +21,7 @@ When splitting documents for retrieval, there are often conflicting desires:
 1. You may want to have small documents, so that their embeddings can most accurately reflect their meaning. If documents are too long, then the embeddings can lose meaning.
 2. You want to have long enough documents that the context of each chunk is retained.
 
-The [`ParentDocumentRetriever`](https://v02.api.js.langchain.com/classes/langchain.retrievers_parent_document.ParentDocumentRetriever.html) strikes that balance by splitting and storing small chunks of data. During retrieval, it first fetches the small chunks but then looks up the parent ids for those chunks and returns those larger documents.
+The [`ParentDocumentRetriever`](https://api.js.langchain.com/classes/langchain.retrievers_parent_document.ParentDocumentRetriever.html) strikes that balance by splitting and storing small chunks of data. During retrieval, it first fetches the small chunks but then looks up the parent ids for those chunks and returns those larger documents.
 
 Note that "parent document" refers to the document that a small chunk originated from. This can either be the whole raw document OR a larger chunk.
 
@@ -34,7 +34,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @langchain/openai
+npm install @langchain/openai @langchain/core
 ```
 
 <CodeBlock language="typescript">{Example}</CodeBlock>
diff --git a/docs/core_docs/docs/how_to/passthrough.ipynb b/docs/core_docs/docs/how_to/passthrough.ipynb
index 878fd5235c73..1a59ca6885b8 100644
--- a/docs/core_docs/docs/how_to/passthrough.ipynb
+++ b/docs/core_docs/docs/how_to/passthrough.ipynb
@@ -30,7 +30,7 @@
     ":::\n",
     "\n",
     "\n",
-    "When composing chains with several steps, sometimes you will want to pass data from previous steps unchanged for use as input to a later step. The [`RunnablePassthrough`](https://v02.api.js.langchain.com/classes/langchain_core.runnables.RunnablePassthrough.html) class allows you to do just this, and is typically is used in conjuction with a [RunnableParallel](/docs/how_to/parallel/) to pass data through to a later step in your constructed chains.\n",
+    "When composing chains with several steps, sometimes you will want to pass data from previous steps unchanged for use as input to a later step. The [`RunnablePassthrough`](https://api.js.langchain.com/classes/langchain_core.runnables.RunnablePassthrough.html) class allows you to do just this, and is typically is used in conjuction with a [RunnableParallel](/docs/how_to/parallel/) to pass data through to a later step in your constructed chains.\n",
     "\n",
     "Let's look at an example:"
    ]
@@ -56,8 +56,8 @@
     "import { RunnableParallel, RunnablePassthrough } from \"@langchain/core/runnables\";\n",
     "\n",
     "const runnable = RunnableParallel.from({\n",
-    "  passed: new RunnablePassthrough(),\n",
-    "  modified: (input) => input.num + 1,\n",
+    "  passed: new RunnablePassthrough<{ num: number }>(),\n",
+    "  modified: (input: { num: number }) => input.num + 1,\n",
     "});\n",
     "\n",
     "await runnable.invoke({ num: 1 });"
@@ -89,7 +89,7 @@
     "<IntegrationInstallTooltip></IntegrationInstallTooltip>\n",
     "\n",
     "<Npm2Yarn>\n",
-    "  @langchain/openai\n",
+    "  @langchain/openai @langchain/core\n",
     "</Npm2Yarn>\n",
     "```"
    ]
diff --git a/docs/core_docs/docs/how_to/prompts_composition.ipynb b/docs/core_docs/docs/how_to/prompts_composition.ipynb
index 623bc1f648ea..b821657aea45 100644
--- a/docs/core_docs/docs/how_to/prompts_composition.ipynb
+++ b/docs/core_docs/docs/how_to/prompts_composition.ipynb
@@ -136,7 +136,7 @@
    "metadata": {},
    "source": [
     "You can then easily create a pipeline combining it with other messages *or* message templates.\n",
-    "Use a `BaseMessage` when there are no variables to be formatted, use a `MessageTemplate` when there are variables to be formatted. You can also use just a string (note: this will automatically get inferred as a [`HumanMessagePromptTemplate`](https://v02.api.js.langchain.com/classes/langchain_core.prompts.HumanMessagePromptTemplate.html).)"
+    "Use a `BaseMessage` when there are no variables to be formatted, use a `MessageTemplate` when there are variables to be formatted. You can also use just a string (note: this will automatically get inferred as a [`HumanMessagePromptTemplate`](https://api.js.langchain.com/classes/langchain_core.prompts.HumanMessagePromptTemplate.html).)"
    ]
   },
   {
@@ -217,7 +217,7 @@
    "id": "0a5892f9-e4d8-4b7c-b6a5-4651539b9734",
    "metadata": {},
    "source": [
-    "LangChain includes a class called [`PipelinePromptTemplate`](https://api.python.langchain.com/en/latest/prompts/langchain_core.prompts.pipeline.PipelinePromptTemplate.html), which can be useful when you want to reuse parts of prompts. A PipelinePrompt consists of two main parts:\n",
+    "LangChain includes a class called [`PipelinePromptTemplate`](https://api.js.langchain.com/classes/_langchain_core.prompts.PipelinePromptTemplate.html), which can be useful when you want to reuse parts of prompts. A PipelinePrompt consists of two main parts:\n",
     "\n",
     "- Final prompt: The final prompt that is returned\n",
     "- Pipeline prompts: A list of tuples, consisting of a string name and a prompt template. Each prompt template will be formatted and then passed to future prompt templates as a variable with the same name."
diff --git a/docs/core_docs/docs/how_to/qa_chat_history_how_to.ipynb b/docs/core_docs/docs/how_to/qa_chat_history_how_to.ipynb
index e0148efb0f45..cead1afc3fa2 100644
--- a/docs/core_docs/docs/how_to/qa_chat_history_how_to.ipynb
+++ b/docs/core_docs/docs/how_to/qa_chat_history_how_to.ipynb
@@ -369,7 +369,7 @@
         "\n",
         "For this we can use:\n",
         "\n",
-        "- [BaseChatMessageHistory](https://v02.api.js.langchain.com/classes/langchain_core.chat_history.BaseChatMessageHistory.html): Store chat history.\n",
+        "- [BaseChatMessageHistory](https://api.js.langchain.com/classes/langchain_core.chat_history.BaseChatMessageHistory.html): Store chat history.\n",
         "- [RunnableWithMessageHistory](/docs/how_to/message_history/): Wrapper for an LCEL chain and a `BaseChatMessageHistory` that handles injecting chat history into inputs and updating it after each invocation.\n",
         "\n",
         "For a detailed walkthrough of how to use these classes together to create a stateful conversational chain, head to the [How to add message history (memory)](/docs/how_to/message_history/) LCEL page."
diff --git a/docs/core_docs/docs/how_to/qa_citations.ipynb b/docs/core_docs/docs/how_to/qa_citations.ipynb
index 4069fe97b022..8a3b3f300059 100644
--- a/docs/core_docs/docs/how_to/qa_citations.ipynb
+++ b/docs/core_docs/docs/how_to/qa_citations.ipynb
@@ -737,7 +737,7 @@
       "source": [
         "## Retrieval post-processing\n",
         "\n",
-        "Another approach is to post-process our retrieved documents to compress the content, so that the source content is already minimal enough that we don't need the model to cite specific sources or spans. For example, we could break up each document into a sentence or two, embed those and keep only the most relevant ones. LangChain has some built-in components for this. Here we'll use a [`RecursiveCharacterTextSplitter`](https://js.langchain.com/v0.2/docs/how_to/recursive_text_splitter), which creates chunks of a specified size by splitting on separator substrings, and an [`EmbeddingsFilter`](https://js.langchain.com/v0.2/docs/how_to/contextual_compression), which keeps only the texts with the most relevant embeddings."
+        "Another approach is to post-process our retrieved documents to compress the content, so that the source content is already minimal enough that we don't need the model to cite specific sources or spans. For example, we could break up each document into a sentence or two, embed those and keep only the most relevant ones. LangChain has some built-in components for this. Here we'll use a [`RecursiveCharacterTextSplitter`](/docs/how_to/recursive_text_splitter), which creates chunks of a specified size by splitting on separator substrings, and an [`EmbeddingsFilter`](/docs/how_to/contextual_compression), which keeps only the texts with the most relevant embeddings."
       ]
     },
     {
diff --git a/docs/core_docs/docs/how_to/qa_per_user.ipynb b/docs/core_docs/docs/how_to/qa_per_user.ipynb
index d3aa48764ece..4a4cd4eda993 100644
--- a/docs/core_docs/docs/how_to/qa_per_user.ipynb
+++ b/docs/core_docs/docs/how_to/qa_per_user.ipynb
@@ -72,7 +72,7 @@
         "<IntegrationInstallTooltip></IntegrationInstallTooltip>\n",
         "\n",
         "<Npm2Yarn>\n",
-        "  @langchain/pinecone @langchain/openai @pinecone-database/pinecone @langchain/core\n",
+        "  @langchain/pinecone @langchain/openai @langchain/core @pinecone-database/pinecone\n",
         "</Npm2Yarn>\n",
         "```\n",
         "\n",
@@ -122,7 +122,7 @@
         "\n",
         "const pinecone = new Pinecone();\n",
         "\n",
-        "const pineconeIndex = pinecone.Index(Deno.env.get(\"PINECONE_INDEX\"));\n",
+        "const pineconeIndex = pinecone.Index(process.env.PINECONE_INDEX);\n",
         "\n",
         "/**\n",
         " * Pinecone allows you to partition the records in an index into namespaces. \n",
@@ -275,7 +275,7 @@
         "\n",
         "const chain = RunnableSequence.from([\n",
         "  RunnablePassthrough.assign({\n",
-        "    context: async (input, config) => {\n",
+        "    context: async (input: { question: string }, config) => {\n",
         "      if (!config || !(\"configurable\" in config)) {\n",
         "        throw new Error(\"No config\");\n",
         "      }\n",
diff --git a/docs/core_docs/docs/how_to/query_constructing_filters.ipynb b/docs/core_docs/docs/how_to/query_constructing_filters.ipynb
index 7f27578a638d..3d997600fefe 100644
--- a/docs/core_docs/docs/how_to/query_constructing_filters.ipynb
+++ b/docs/core_docs/docs/how_to/query_constructing_filters.ipynb
@@ -43,7 +43,7 @@
     "import Npm2Yarn from \"@theme/Npm2Yarn\";\n",
     "\n",
     "<Npm2Yarn>\n",
-    "  zod\n",
+    "  @langchain/core zod\n",
     "</Npm2Yarn>\n",
     "```\n"
    ]
@@ -152,7 +152,7 @@
     }
    ],
    "source": [
-    "import { ChromaTranslator } from \"langchain/retrievers/self_query/chroma\";\n",
+    "import { ChromaTranslator } from \"@langchain/community/structured_query/chroma\";\n",
     "\n",
     "new ChromaTranslator().visitOperation(_filter)"
    ]
diff --git a/docs/core_docs/docs/how_to/query_few_shot.ipynb b/docs/core_docs/docs/how_to/query_few_shot.ipynb
index 63c91e179561..381d802335be 100644
--- a/docs/core_docs/docs/how_to/query_few_shot.ipynb
+++ b/docs/core_docs/docs/how_to/query_few_shot.ipynb
@@ -36,7 +36,7 @@
     "<IntegrationInstallTooltip></IntegrationInstallTooltip>\n",
     "\n",
     "<Npm2Yarn>\n",
-    "  zod uuid\n",
+    "  @langchain/core zod uuid\n",
     "</Npm2Yarn>\n",
     "```\n",
     "\n",
@@ -52,6 +52,22 @@
     "```"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "87ee608e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "// @lc-docs-hide-cell\n",
+    "import { ChatOpenAI } from '@langchain/openai';\n",
+    "\n",
+    "const llm = new ChatOpenAI({\n",
+    "  model: \"gpt-4o\",\n",
+    "  temperature: 0,\n",
+    "})"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "57396e23-c192-4d97-846b-5eacea4d6b8d",
@@ -241,8 +257,8 @@
     }
    ],
    "source": [
-    "const question = \"How to build multi-agent system and stream intermediate steps from it\"\n",
-    "const query = {\n",
+    "const question2 = \"How to build multi-agent system and stream intermediate steps from it\"\n",
+    "const query2 = {\n",
     "  query: \"How to build multi-agent system and stream intermediate steps from it\",\n",
     "  subQueries: [\n",
     "    \"How to build multi-agent system\",\n",
@@ -251,7 +267,7 @@
     "  ],\n",
     "}\n",
     "\n",
-    "examples.push({ \"input\": question, \"toolCalls\": [query] })"
+    "examples.push({ \"input\": question2, \"toolCalls\": [query2] })"
    ]
   },
   {
@@ -272,8 +288,8 @@
     }
    ],
    "source": [
-    "const question = \"LangChain agents vs LangGraph?\"\n",
-    "const query = {\n",
+    "const question3 = \"LangChain agents vs LangGraph?\"\n",
+    "const query3 = {\n",
     "  query: \"What's the difference between LangChain agents and LangGraph? How do you deploy them?\",\n",
     "  subQueries: [\n",
     "    \"What are LangChain agents\",\n",
@@ -282,7 +298,7 @@
     "    \"How do you deploy LangGraph\",\n",
     "  ],\n",
     "}\n",
-    "examples.push({ \"input\": question, \"toolCalls\": [query] });"
+    "examples.push({ \"input\": question3, \"toolCalls\": [query3] });"
    ]
   },
   {
@@ -309,7 +325,7 @@
     "  } from \"@langchain/core/messages\";\n",
     "  import { v4 as uuidV4 } from \"uuid\";\n",
     "  \n",
-    "  const toolExampleToMessages = (example: Example | Record<string , any>): Array<BaseMessage> => {\n",
+    "  const toolExampleToMessages = (example: Record<string, any>): Array<BaseMessage> => {\n",
     "    const messages: Array<BaseMessage> = [new HumanMessage({ content: example.input })];\n",
     "    const openaiToolCalls = example.toolCalls.map((toolCall) => {\n",
     "      return {\n",
diff --git a/docs/core_docs/docs/how_to/query_high_cardinality.ipynb b/docs/core_docs/docs/how_to/query_high_cardinality.ipynb
index b07798438704..3cf6b25aaa27 100644
--- a/docs/core_docs/docs/how_to/query_high_cardinality.ipynb
+++ b/docs/core_docs/docs/how_to/query_high_cardinality.ipynb
@@ -38,7 +38,7 @@
         "<IntegrationInstallTooltip></IntegrationInstallTooltip>\n",
         "\n",
         "<Npm2Yarn>\n",
-        "  @langchain/community zod @faker-js/faker\n",
+        "  @langchain/community @langchain/core zod @faker-js/faker\n",
         "</Npm2Yarn>\n",
         "```\n",
         "\n",
@@ -73,7 +73,7 @@
       "source": [
         "import { faker } from \"@faker-js/faker\";\n",
         "\n",
-        "const names = Array.from({ length: 10000 }, () => faker.person.fullName());"
+        "const names = Array.from({ length: 10000 }, () => (faker as any).person.fullName());"
       ]
     },
     {
@@ -163,6 +163,22 @@
         "```"
       ]
     },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "id": "0bbad20f",
+      "metadata": {},
+      "outputs": [],
+      "source": [
+        "// @lc-docs-hide-cell\n",
+        "import { ChatOpenAI } from '@langchain/openai';\n",
+        "\n",
+        "const llm = new ChatOpenAI({\n",
+        "  model: \"gpt-3.5-turbo\",\n",
+        "  temperature: 0,\n",
+        "})"
+      ]
+    },
     {
       "cell_type": "code",
       "execution_count": 5,
@@ -267,7 +283,7 @@
       "metadata": {},
       "outputs": [],
       "source": [
-        "const system = `Generate a relevant search query for a library system using the 'search' tool.\n",
+        "const systemTemplate = `Generate a relevant search query for a library system using the 'search' tool.\n",
         "\n",
         "The 'author' you return to the user MUST be one of the following authors:\n",
         "\n",
@@ -276,17 +292,17 @@
         "Do NOT hallucinate author name!`\n",
         "const basePrompt = ChatPromptTemplate.fromMessages(\n",
         "    [\n",
-        "      [\"system\", system],\n",
+        "      [\"system\", systemTemplate],\n",
         "      [\"human\", \"{question}\"],\n",
         "    ]\n",
         ")\n",
-        "const prompt = await basePrompt.partial({ authors: names.join(\", \") })\n",
+        "const promptWithAuthors = await basePrompt.partial({ authors: names.join(\", \") })\n",
         "\n",
         "const queryAnalyzerAll = RunnableSequence.from([\n",
         "  {\n",
         "    question: new RunnablePassthrough(),\n",
         "  },\n",
-        "  prompt,\n",
+        "  promptWithAuthors,\n",
         "  llmWithTools\n",
         "])"
       ]
@@ -380,6 +396,22 @@
         "```"
       ]
     },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "id": "64817a0f",
+      "metadata": {},
+      "outputs": [],
+      "source": [
+        "// @lc-docs-hide-cell\n",
+        "import { ChatOpenAI } from '@langchain/openai';\n",
+        "\n",
+        "const llmLong = new ChatOpenAI({\n",
+        "  model: \"gpt-4o\",\n",
+        "  temperature: 0,\n",
+        "})"
+      ]
+    },
     {
       "cell_type": "code",
       "execution_count": 12,
@@ -390,7 +422,7 @@
         "const structuredLlmLong = llmLong.withStructuredOutput(searchSchema, {\n",
         "  name: \"Search\"\n",
         "});\n",
-        "const queryAnalyzerAll = RunnableSequence.from([\n",
+        "const queryAnalyzerAllLong = RunnableSequence.from([\n",
         "  {\n",
         "    question: new RunnablePassthrough(),\n",
         "  },\n",
@@ -417,7 +449,7 @@
         }
       ],
       "source": [
-        "await queryAnalyzerAll.invoke(\"what are books about aliens by jess knight\")"
+        "await queryAnalyzerAllLong.invoke(\"what are books about aliens by jess knight\")"
       ]
     },
     {
diff --git a/docs/core_docs/docs/how_to/query_multiple_queries.ipynb b/docs/core_docs/docs/how_to/query_multiple_queries.ipynb
index acac9787666a..f5726d48bdff 100644
--- a/docs/core_docs/docs/how_to/query_multiple_queries.ipynb
+++ b/docs/core_docs/docs/how_to/query_multiple_queries.ipynb
@@ -34,7 +34,7 @@
         "<IntegrationInstallTooltip></IntegrationInstallTooltip>\n",
         "\n",
         "<Npm2Yarn>\n",
-        "  @langchain/community @langchain/openai zod chromadb\n",
+        "  @langchain/community @langchain/openai @langchain/core zod chromadb\n",
         "</Npm2Yarn>\n",
         "```\n",
         "\n",
@@ -122,6 +122,22 @@
         "```"
       ]
     },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "id": "2010fbb5",
+      "metadata": {},
+      "outputs": [],
+      "source": [
+        "// @lc-docs-hide-cell\n",
+        "import { ChatOpenAI } from '@langchain/openai';\n",
+        "\n",
+        "const llm = new ChatOpenAI({\n",
+        "  model: \"gpt-4o\",\n",
+        "  temperature: 0,\n",
+        "})"
+      ]
+    },
     {
       "cell_type": "code",
       "execution_count": 4,
diff --git a/docs/core_docs/docs/how_to/query_multiple_retrievers.ipynb b/docs/core_docs/docs/how_to/query_multiple_retrievers.ipynb
index 74962e8e7634..6116c173a54b 100644
--- a/docs/core_docs/docs/how_to/query_multiple_retrievers.ipynb
+++ b/docs/core_docs/docs/how_to/query_multiple_retrievers.ipynb
@@ -34,7 +34,7 @@
         "<IntegrationInstallTooltip></IntegrationInstallTooltip>\n",
         "\n",
         "<Npm2Yarn>\n",
-        "  @langchain/community @langchain/openai zod chromadb\n",
+        "  @langchain/community @langchain/openai @langchain/core zod chromadb\n",
         "</Npm2Yarn>\n",
         "```\n",
         "\n",
@@ -80,12 +80,12 @@
         "})\n",
         "const retrieverHarrison = vectorstore.asRetriever(1)\n",
         "\n",
-        "const texts = [\"Ankush worked at Facebook\"]\n",
-        "const embeddings = new OpenAIEmbeddings({ model: \"text-embedding-3-small\" })\n",
-        "const vectorstore = await Chroma.fromTexts(texts, {}, embeddings, {\n",
+        "const textsAnkush = [\"Ankush worked at Facebook\"]\n",
+        "const embeddingsAnkush = new OpenAIEmbeddings({ model: \"text-embedding-3-small\" })\n",
+        "const vectorstoreAnkush = await Chroma.fromTexts(textsAnkush, {}, embeddingsAnkush, {\n",
         "  collectionName: \"ankush\"\n",
         "})\n",
-        "const retrieverAnkush = vectorstore.asRetriever(1)"
+        "const retrieverAnkush = vectorstoreAnkush.asRetriever(1)"
       ]
     },
     {
@@ -125,6 +125,22 @@
         "```"
       ]
     },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "id": "678a1ed0",
+      "metadata": {},
+      "outputs": [],
+      "source": [
+        "// @lc-docs-hide-cell\n",
+        "import { ChatOpenAI } from '@langchain/openai';\n",
+        "\n",
+        "const llm = new ChatOpenAI({\n",
+        "  model: \"gpt-4o\",\n",
+        "  temperature: 0,\n",
+        "})"
+      ]
+    },
     {
       "cell_type": "code",
       "execution_count": 6,
diff --git a/docs/core_docs/docs/how_to/query_no_queries.ipynb b/docs/core_docs/docs/how_to/query_no_queries.ipynb
index a97d0e7541d0..aad9999c20ba 100644
--- a/docs/core_docs/docs/how_to/query_no_queries.ipynb
+++ b/docs/core_docs/docs/how_to/query_no_queries.ipynb
@@ -36,7 +36,7 @@
         "<IntegrationInstallTooltip></IntegrationInstallTooltip>\n",
         "\n",
         "<Npm2Yarn>\n",
-        "  @langchain/community @langchain/openai zod chromadb\n",
+        "  @langchain/community @langchain/openai @langchain/core zod chromadb\n",
         "</Npm2Yarn>\n",
         "```\n",
         "\n",
@@ -119,6 +119,22 @@
         "```"
       ]
     },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "id": "df31857a",
+      "metadata": {},
+      "outputs": [],
+      "source": [
+        "// @lc-docs-hide-cell\n",
+        "import { ChatOpenAI } from '@langchain/openai';\n",
+        "\n",
+        "const llm = new ChatOpenAI({\n",
+        "  model: \"gpt-4o\",\n",
+        "  temperature: 0,\n",
+        "})"
+      ]
+    },
     {
       "cell_type": "code",
       "execution_count": 25,
diff --git a/docs/core_docs/docs/how_to/recursive_text_splitter.ipynb b/docs/core_docs/docs/how_to/recursive_text_splitter.ipynb
index 86675c90ca4b..4d5adf15470a 100644
--- a/docs/core_docs/docs/how_to/recursive_text_splitter.ipynb
+++ b/docs/core_docs/docs/how_to/recursive_text_splitter.ipynb
@@ -36,7 +36,7 @@
     "\n",
     "To obtain the string content directly, use `.splitText`.\n",
     "\n",
-    "To create LangChain [Document](https://v02.api.js.langchain.com/classes/langchain_core.documents.Document.html) objects (e.g., for use in downstream tasks), use `.createDocuments`."
+    "To create LangChain [Document](https://api.js.langchain.com/classes/langchain_core.documents.Document.html) objects (e.g., for use in downstream tasks), use `.createDocuments`."
    ]
   },
   {
diff --git a/docs/core_docs/docs/how_to/reduce_retrieval_latency.mdx b/docs/core_docs/docs/how_to/reduce_retrieval_latency.mdx
index 85e89dae1774..a4ac40937a56 100644
--- a/docs/core_docs/docs/how_to/reduce_retrieval_latency.mdx
+++ b/docs/core_docs/docs/how_to/reduce_retrieval_latency.mdx
@@ -12,7 +12,7 @@ This guide assumes familiarity with the following concepts:
 :::
 
 One way to reduce retrieval latency is through a technique called "Adaptive Retrieval".
-The [`MatryoshkaRetriever`](https://v02.api.js.langchain.com/classes/langchain.retrievers_matryoshka_retriever.MatryoshkaRetriever.html) uses the
+The [`MatryoshkaRetriever`](https://api.js.langchain.com/classes/langchain.retrievers_matryoshka_retriever.MatryoshkaRetriever.html) uses the
 Matryoshka Representation Learning (MRL) technique to retrieve documents for a given query in two steps:
 
 - **First-pass**: Uses a lower dimensional sub-vector from the MRL embedding for an initial, fast,
@@ -33,7 +33,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @langchain/openai @langchain/community
+npm install @langchain/openai @langchain/community @langchain/core
 ```
 
 To follow the example below, you need an OpenAI API key:
diff --git a/docs/core_docs/docs/how_to/routing.mdx b/docs/core_docs/docs/how_to/routing.mdx
index 258e01b6675b..1a92671ad5ee 100644
--- a/docs/core_docs/docs/how_to/routing.mdx
+++ b/docs/core_docs/docs/how_to/routing.mdx
@@ -34,7 +34,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @langchain/anthropic
+npm install @langchain/anthropic @langchain/core
 ```
 
 import FactoryFunctionExample from "@examples/guides/expression_language/how_to_routing_custom_function.ts";
diff --git a/docs/core_docs/docs/how_to/self_query.ipynb b/docs/core_docs/docs/how_to/self_query.ipynb
index 6e62c2d23245..2b01e7fcb972 100644
--- a/docs/core_docs/docs/how_to/self_query.ipynb
+++ b/docs/core_docs/docs/how_to/self_query.ipynb
@@ -36,7 +36,7 @@
     "import Npm2Yarn from '@theme/Npm2Yarn';\n",
     "\n",
     "<Npm2Yarn>\n",
-    "  peggy @langchain/openai\n",
+    "  peggy @langchain/openai @langchain/core\n",
     "</Npm2Yarn>\n",
     "```\n",
     "\n",
diff --git a/docs/core_docs/docs/how_to/sequence.ipynb b/docs/core_docs/docs/how_to/sequence.ipynb
index 715b6bf704b6..c8f429a3f9a0 100644
--- a/docs/core_docs/docs/how_to/sequence.ipynb
+++ b/docs/core_docs/docs/how_to/sequence.ipynb
@@ -21,7 +21,7 @@
     "\n",
     "One point about [LangChain Expression Language](/docs/concepts/#langchain-expression-language) is that any two runnables can be \"chained\" together into sequences. The output of the previous runnable's `.invoke()` call is passed as input to the next runnable. This can be done using the `.pipe()` method.\n",
     "\n",
-    "The resulting [`RunnableSequence`](https://v02.api.js.langchain.com/classes/langchain_core.runnables.RunnableSequence.html) is itself a runnable, which means it can be invoked, streamed, or further chained just like any other runnable. Advantages of chaining runnables in this way are efficient streaming (the sequence will stream output as soon as it is available), and debugging and tracing with tools like [LangSmith](/docs/how_to/debugging).\n",
+    "The resulting [`RunnableSequence`](https://api.js.langchain.com/classes/langchain_core.runnables.RunnableSequence.html) is itself a runnable, which means it can be invoked, streamed, or further chained just like any other runnable. Advantages of chaining runnables in this way are efficient streaming (the sequence will stream output as soon as it is available), and debugging and tracing with tools like [LangSmith](/docs/how_to/debugging).\n",
     "\n",
     ":::info Prerequisites\n",
     "\n",
@@ -58,7 +58,7 @@
     "<IntegrationInstallTooltip></IntegrationInstallTooltip>\n",
     "\n",
     "<Npm2Yarn>\n",
-    "  @langchain/core\n",
+    "  @langchain/core @langchain/core\n",
     "</Npm2Yarn>\n",
     "```"
    ]
diff --git a/docs/core_docs/docs/how_to/split_by_token.ipynb b/docs/core_docs/docs/how_to/split_by_token.ipynb
index 652e8b0ad7a5..c6af9a6c54d3 100644
--- a/docs/core_docs/docs/how_to/split_by_token.ipynb
+++ b/docs/core_docs/docs/how_to/split_by_token.ipynb
@@ -35,7 +35,7 @@
     "1. How the text is split: by character passed in.\n",
     "2. How the chunk size is measured: by the `js-tiktoken` tokenizer.\n",
     "\n",
-    "You can use the [`TokenTextSplitter`](https://v02.api.js.langchain.com/classes/langchain_textsplitters.TokenTextSplitter.html) like this:"
+    "You can use the [`TokenTextSplitter`](https://api.js.langchain.com/classes/langchain_textsplitters.TokenTextSplitter.html) like this:"
    ]
   },
   {
diff --git a/docs/core_docs/docs/how_to/sql_prompting.mdx b/docs/core_docs/docs/how_to/sql_prompting.mdx
index 25d2ac9b4ed1..ef5f8cdfdf27 100644
--- a/docs/core_docs/docs/how_to/sql_prompting.mdx
+++ b/docs/core_docs/docs/how_to/sql_prompting.mdx
@@ -46,7 +46,7 @@ import DbCheck from "@examples/use_cases/sql/db_check.ts";
 ## Dialect-specific prompting
 
 One of the simplest things we can do is make our prompt specific to the SQL dialect we're using.
-When using the built-in [`createSqlQueryChain`](https://v02.api.js.langchain.com/functions/langchain.chains_sql_db.createSqlQueryChain.html) and [`SqlDatabase`](https://v02.api.js.langchain.com/classes/langchain.sql_db.SqlDatabase.html), this is handled for you for any of the following dialects:
+When using the built-in [`createSqlQueryChain`](https://api.js.langchain.com/functions/langchain.chains_sql_db.createSqlQueryChain.html) and [`SqlDatabase`](https://api.js.langchain.com/classes/langchain.sql_db.SqlDatabase.html), this is handled for you for any of the following dialects:
 
 import DialectExample from "@examples/use_cases/sql/prompting/list_dialects.ts";
 
@@ -83,7 +83,7 @@ import FewShotExample from "@examples/use_cases/sql/prompting/few_shot.ts";
 If we have enough examples, we may want to only include the most relevant ones in the prompt, either because they don't fit in the model's context window or because the long tail of examples distracts the model.
 And specifically, given any input we want to include the examples most relevant to that input.
 
-We can do just this using an ExampleSelector. In this case we'll use a [`SemanticSimilarityExampleSelector`](https://v02.api.js.langchain.com/classes/langchain_core.example_selectors.SemanticSimilarityExampleSelector.html),
+We can do just this using an ExampleSelector. In this case we'll use a [`SemanticSimilarityExampleSelector`](https://api.js.langchain.com/classes/langchain_core.example_selectors.SemanticSimilarityExampleSelector.html),
 which will store the examples in the vector database of our choosing.
 At runtime it will perform a similarity search between the input and our examples, and return the most semantically similar ones:
 
diff --git a/docs/core_docs/docs/how_to/streaming_llm.mdx b/docs/core_docs/docs/how_to/streaming_llm.mdx
index 2cd448777668..26d6e41e900b 100644
--- a/docs/core_docs/docs/how_to/streaming_llm.mdx
+++ b/docs/core_docs/docs/how_to/streaming_llm.mdx
@@ -4,7 +4,7 @@ sidebar_position: 1
 
 # How to stream responses from an LLM
 
-All [`LLM`s](https://v02.api.js.langchain.com/classes/langchain_core.language_models_llms.BaseLLM.html) implement the [Runnable interface](https://v02.api.js.langchain.com/classes/langchain_core.runnables.Runnable.html), which comes with **default** implementations of standard runnable methods (i.e. `ainvoke`, `batch`, `abatch`, `stream`, `astream`, `astream_events`).
+All [`LLM`s](https://api.js.langchain.com/classes/langchain_core.language_models_llms.BaseLLM.html) implement the [Runnable interface](https://api.js.langchain.com/classes/langchain_core.runnables.Runnable.html), which comes with **default** implementations of standard runnable methods (i.e. `ainvoke`, `batch`, `abatch`, `stream`, `astream`, `astream_events`).
 
 The **default** streaming implementations provide an `AsyncGenerator` that yields a single value: the final output from the underlying chat model provider.
 
@@ -31,7 +31,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @langchain/openai
+npm install @langchain/openai @langchain/core
 ```
 
 <CodeBlock language="typescript">{StreamMethodExample}</CodeBlock>
@@ -40,7 +40,7 @@ For models that do not support streaming, the entire response will be returned a
 
 ## Using a callback handler
 
-You can also use a [`CallbackHandler`](https://v02.api.js.langchain.com/classes/langchain_core.callbacks_base.BaseCallbackHandler.html) like so:
+You can also use a [`CallbackHandler`](https://api.js.langchain.com/classes/langchain_core.callbacks_base.BaseCallbackHandler.html) like so:
 
 import StreamingExample from "@examples/models/llm/llm_streaming.ts";
 
diff --git a/docs/core_docs/docs/how_to/structured_output.ipynb b/docs/core_docs/docs/how_to/structured_output.ipynb
index b114d5a21237..b9a538adf53e 100644
--- a/docs/core_docs/docs/how_to/structured_output.ipynb
+++ b/docs/core_docs/docs/how_to/structured_output.ipynb
@@ -328,7 +328,7 @@
     "\n",
     "### Using `JsonOutputParser`\n",
     "\n",
-    "The following example uses the built-in [`JsonOutputParser`](https://v02.api.js.langchain.com/classes/langchain_core.output_parsers.JsonOutputParser.html) to parse the output of a chat model prompted to match a the given JSON schema. Note that we are adding `format_instructions` directly to the prompt from a method on the parser:"
+    "The following example uses the built-in [`JsonOutputParser`](https://api.js.langchain.com/classes/langchain_core.output_parsers.JsonOutputParser.html) to parse the output of a chat model prompted to match a the given JSON schema. Note that we are adding `format_instructions` directly to the prompt from a method on the parser:"
    ]
   },
   {
diff --git a/docs/core_docs/docs/how_to/time_weighted_vectorstore.mdx b/docs/core_docs/docs/how_to/time_weighted_vectorstore.mdx
index b218eb68bf12..e40038a52e96 100644
--- a/docs/core_docs/docs/how_to/time_weighted_vectorstore.mdx
+++ b/docs/core_docs/docs/how_to/time_weighted_vectorstore.mdx
@@ -10,7 +10,7 @@ This guide assumes familiarity with the following concepts:
 
 :::
 
-This guide covers the [`TimeWeightedVectorStoreRetriever`](https://v02.api.js.langchain.com/classes/langchain.retrievers_time_weighted.TimeWeightedVectorStoreRetriever.html),
+This guide covers the [`TimeWeightedVectorStoreRetriever`](https://api.js.langchain.com/classes/langchain.retrievers_time_weighted.TimeWeightedVectorStoreRetriever.html),
 which uses a combination of semantic similarity and a time decay.
 
 The algorithm for scoring them is:
@@ -39,7 +39,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @langchain/openai
+npm install @langchain/openai @langchain/core
 ```
 
 <CodeBlock language="typescript">{Example}</CodeBlock>
diff --git a/docs/core_docs/docs/how_to/tools_builtin.ipynb b/docs/core_docs/docs/how_to/tools_builtin.ipynb
index d53e786dd8c1..25c35b30b720 100644
--- a/docs/core_docs/docs/how_to/tools_builtin.ipynb
+++ b/docs/core_docs/docs/how_to/tools_builtin.ipynb
@@ -20,7 +20,6 @@
     "\n",
     "The simpler the input to a tool is, the easier it is for an LLM to be able to use it.\n",
     "Many agents will only work with tools that have a single string input.\n",
-    "For a list of agent types and which ones work with more complicated inputs, please see [this documentation](https://js.langchain.com/v0.1/docs/modules/agents/agent_types/)\n",
     "\n",
     "Importantly, the name, description, and schema (if used) are all used in the prompt. Therefore, it is vitally important that they are clear and describe exactly how the tool should be used.\n",
     "\n",
diff --git a/docs/core_docs/docs/how_to/tools_error.ipynb b/docs/core_docs/docs/how_to/tools_error.ipynb
index fdf2825dd974..b79dd18d9c77 100644
--- a/docs/core_docs/docs/how_to/tools_error.ipynb
+++ b/docs/core_docs/docs/how_to/tools_error.ipynb
@@ -142,11 +142,11 @@
     "  }\n",
     "}\n",
     "\n",
-    "const chain = llmWithTools\n",
+    "const chainWithTools = llmWithTools\n",
     "  .pipe((message) => message.tool_calls?.[0].args)\n",
     "  .pipe(tryExceptToolWrapper);\n",
     "\n",
-    "const res = await chain.invoke(\"use complex tool. the args are 5, 2.1, potato\");\n",
+    "const res = await chainWithTools.invoke(\"use complex tool. the args are 5, 2.1, potato\");\n",
     "\n",
     "console.log(res);"
    ]
@@ -179,7 +179,7 @@
     }
    ],
    "source": [
-    "const chain = llmWithTools\n",
+    "const badChain = llmWithTools\n",
     "  .pipe((message) => message.tool_calls?.[0].args)\n",
     "  .pipe(complexTool);\n",
     "\n",
@@ -192,7 +192,7 @@
     "  .pipe((message) => message.tool_calls?.[0].args)\n",
     "  .pipe(complexTool);\n",
     "\n",
-    "const chainWithFallback = chain.withFallbacks({ fallbacks: [betterChain] });\n",
+    "const chainWithFallback = badChain.withFallbacks([betterChain]);\n",
     "\n",
     "await chainWithFallback.invoke(\"use complex tool. the args are 5, 2.1, potato\");"
    ]
diff --git a/docs/core_docs/docs/how_to/vectorstore_retriever.mdx b/docs/core_docs/docs/how_to/vectorstore_retriever.mdx
index 09394ed51ffa..02ad2e257edd 100644
--- a/docs/core_docs/docs/how_to/vectorstore_retriever.mdx
+++ b/docs/core_docs/docs/how_to/vectorstore_retriever.mdx
@@ -11,7 +11,7 @@ This guide assumes familiarity with the following concepts:
 
 :::
 
-Vector stores can be converted into retrievers using the [`.asRetriever()`](https://v02.api.js.langchain.com/classes/langchain_core.vectorstores.VectorStore.html#asRetriever) method, which allows you to more easily compose them in chains.
+Vector stores can be converted into retrievers using the [`.asRetriever()`](https://api.js.langchain.com/classes/langchain_core.vectorstores.VectorStore.html#asRetriever) method, which allows you to more easily compose them in chains.
 
 Below, we show a retrieval-augmented generation (RAG) chain that performs question answering over documents using the following steps:
 
@@ -30,7 +30,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @langchain/openai
+npm install @langchain/openai @langchain/core
 ```
 
 You can download the `state_of_the_union.txt` file [here](https://github.com/langchain-ai/langchain/blob/master/docs/docs/modules/state_of_the_union.txt).
diff --git a/docs/core_docs/docs/how_to/vectorstores.mdx b/docs/core_docs/docs/how_to/vectorstores.mdx
index 7a1582c9e217..b3138d9fe3c5 100644
--- a/docs/core_docs/docs/how_to/vectorstores.mdx
+++ b/docs/core_docs/docs/how_to/vectorstores.mdx
@@ -23,7 +23,7 @@ vectors, and then at query time to embed the unstructured query and retrieve the
 'most similar' to the embedded query. A vector store takes care of storing embedded data and performing vector search
 for you.
 
-This walkthrough uses a basic, unoptimized implementation called [`MemoryVectorStore`](https://v02.api.js.langchain.com/classes/langchain.vectorstores_memory.MemoryVectorStore.html) that stores embeddings in-memory and does an exact, linear search for the most similar embeddings.
+This walkthrough uses a basic, unoptimized implementation called [`MemoryVectorStore`](https://api.js.langchain.com/classes/langchain.vectorstores_memory.MemoryVectorStore.html) that stores embeddings in-memory and does an exact, linear search for the most similar embeddings.
 LangChain contains many built-in integrations - see [this section](/docs/how_to/vectorstores/#which-one-to-pick) for more, or the [full list of integrations](/docs/integrations/vectorstores/).
 
 ## Creating a new index
@@ -48,7 +48,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @langchain/openai
+npm install @langchain/openai @langchain/core
 ```
 
 <CodeBlock language="typescript">{ExampleTexts}</CodeBlock>
diff --git a/docs/core_docs/docs/integrations/callbacks/datadog_tracer.mdx b/docs/core_docs/docs/integrations/callbacks/datadog_tracer.mdx
index 85732fd57428..0dc8cf9c1b2a 100644
--- a/docs/core_docs/docs/integrations/callbacks/datadog_tracer.mdx
+++ b/docs/core_docs/docs/integrations/callbacks/datadog_tracer.mdx
@@ -21,7 +21,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @langchain/community
+npm install @langchain/community @langchain/core
 ```
 
 ## Usage
diff --git a/docs/core_docs/docs/integrations/callbacks/upstash_ratelimit_callback.mdx b/docs/core_docs/docs/integrations/callbacks/upstash_ratelimit_callback.mdx
index db7e4e274e4f..b04c28533e39 100644
--- a/docs/core_docs/docs/integrations/callbacks/upstash_ratelimit_callback.mdx
+++ b/docs/core_docs/docs/integrations/callbacks/upstash_ratelimit_callback.mdx
@@ -29,7 +29,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @upstash/ratelimit @langchain/community
+npm install @upstash/ratelimit @langchain/community @langchain/core
 ```
 
 You are now ready to add rate limiting to your chain!
diff --git a/docs/core_docs/docs/integrations/chat/alibaba_tongyi.mdx b/docs/core_docs/docs/integrations/chat/alibaba_tongyi.mdx
index e07db15def43..e5821b25a51a 100644
--- a/docs/core_docs/docs/integrations/chat/alibaba_tongyi.mdx
+++ b/docs/core_docs/docs/integrations/chat/alibaba_tongyi.mdx
@@ -19,7 +19,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @langchain/community
+npm install @langchain/community @langchain/core
 ```
 
 ## Usage
diff --git a/docs/core_docs/docs/integrations/chat/anthropic.ipynb b/docs/core_docs/docs/integrations/chat/anthropic.ipynb
index 9fafc787406e..b46785ed8e89 100644
--- a/docs/core_docs/docs/integrations/chat/anthropic.ipynb
+++ b/docs/core_docs/docs/integrations/chat/anthropic.ipynb
@@ -71,7 +71,7 @@
     "<IntegrationInstallTooltip></IntegrationInstallTooltip>\n",
     "\n",
     "<Npm2Yarn>\n",
-    "  @langchain/anthropic\n",
+    "  @langchain/anthropic @langchain/core\n",
     "</Npm2Yarn>\n",
     "\n",
     "```"
diff --git a/docs/core_docs/docs/integrations/chat/anthropic_tools.mdx b/docs/core_docs/docs/integrations/chat/anthropic_tools.mdx
deleted file mode 100644
index 2dd8c57d3686..000000000000
--- a/docs/core_docs/docs/integrations/chat/anthropic_tools.mdx
+++ /dev/null
@@ -1,82 +0,0 @@
----
-sidebar_label: Anthropic Tools
-sidebar_class_name: hidden
----
-
-:::warning
-This API is deprecated as Anthropic now officially supports tools. [Click here to read the documentation](/docs/integrations/chat/anthropic#tools).
-:::
-
-# Anthropic Tools
-
-LangChain offers an experimental wrapper around Anthropic that gives it the same API as OpenAI Functions.
-
-## Setup
-
-To start, install the `@langchain/anthropic` integration package.
-
-import IntegrationInstallTooltip from "@mdx_components/integration_install_tooltip.mdx";
-
-<IntegrationInstallTooltip></IntegrationInstallTooltip>
-
-```bash npm2yarn
-npm install @langchain/anthropic
-```
-
-## Initialize model
-
-You can initialize this wrapper the same way you'd initialize a standard `ChatAnthropic` instance:
-
-import UnifiedModelParamsTooltip from "@mdx_components/unified_model_params_tooltip.mdx";
-
-<UnifiedModelParamsTooltip></UnifiedModelParamsTooltip>
-
-```typescript
-import { ChatAnthropicTools } from "@langchain/anthropic/experimental";
-
-const model = new ChatAnthropicTools({
-  temperature: 0.1,
-  model: "claude-3-sonnet-20240229",
-  apiKey: "YOUR-API-KEY", // In Node.js defaults to process.env.ANTHROPIC_API_KEY
-});
-```
-
-## Passing in tools
-
-You can now pass in tools the same way as OpenAI:
-
-import CodeBlock from "@theme/CodeBlock";
-import AnthropicToolCalling from "@examples/models/chat/anthropic_tools/tool_calling.ts";
-
-<CodeBlock language="typescript">{AnthropicToolCalling}</CodeBlock>
-
-## Parallel tool calling
-
-The model may choose to call multiple tools. Here is an example using an extraction use-case:
-
-import AnthropicToolCallingExtraction from "@examples/models/chat/anthropic_tools/extraction.ts";
-
-<CodeBlock language="typescript">{AnthropicToolCallingExtraction}</CodeBlock>
-
-## `.withStructuredOutput({ ... })`
-
-:::info
-The `.withStructuredOutput` method is in beta. It is actively being worked on, so the API may change.
-:::
-
-Using the `.withStructuredOutput` method, you can make the LLM return structured output, given only a Zod or JSON schema:
-
-import WSAExample from "@examples/models/chat/integration_anthropic_tools_wsa.ts";
-
-<CodeBlock language="typescript">{WSAExample}</CodeBlock>
-
-### Using JSON schema:
-
-import WSAJSONExample from "@examples/models/chat/integration_anthropic_tools_wsa_json.ts";
-
-<CodeBlock language="typescript">{WSAJSONExample}</CodeBlock>
-
-## Related
-
-- Chat model [conceptual guide](/docs/concepts/#chat-models)
-- Chat model [how-to guides](/docs/how_to/#chat-models)
diff --git a/docs/core_docs/docs/integrations/chat/arcjet.ipynb b/docs/core_docs/docs/integrations/chat/arcjet.ipynb
index fcc83a6fb08f..c16e66b507b7 100644
--- a/docs/core_docs/docs/integrations/chat/arcjet.ipynb
+++ b/docs/core_docs/docs/integrations/chat/arcjet.ipynb
@@ -59,7 +59,7 @@
     "<IntegrationInstallTooltip></IntegrationInstallTooltip>\n",
     "\n",
     "<Npm2Yarn>\n",
-    "  @langchain/community\n",
+    "  @langchain/community @langchain/core\n",
     "</Npm2Yarn>\n",
     "\n",
     "And now you're ready to start protecting your chat model calls with Arcjet Redaction!\n",
diff --git a/docs/core_docs/docs/integrations/chat/azure.ipynb b/docs/core_docs/docs/integrations/chat/azure.ipynb
index 20bfaf9957d1..fb07aa31e913 100644
--- a/docs/core_docs/docs/integrations/chat/azure.ipynb
+++ b/docs/core_docs/docs/integrations/chat/azure.ipynb
@@ -28,7 +28,7 @@
     "## Overview\n",
     "### Integration details\n",
     "\n",
-    "| Class | Package | Local | Serializable | [PY support](https://python.langchain.com/v0.2/docs/integrations/chat/azure_chat_openai) | Package downloads | Package latest |\n",
+    "| Class | Package | Local | Serializable | [PY support](https://python.langchain.com/docs/integrations/chat/azure_chat_openai) | Package downloads | Package latest |\n",
     "| :--- | :--- | :---: | :---: |  :---: | :---: | :---: |\n",
     "| [AzureChatOpenAI](https://api.js.langchain.com/classes/langchain_openai.AzureChatOpenAI.html) | [`@langchain/openai`](https://www.npmjs.com/package/@langchain/openai) | ❌ | ✅ | ✅ | ![NPM - Downloads](https://img.shields.io/npm/dm/@langchain/openai?style=flat-square&label=%20&) | ![NPM - Version](https://img.shields.io/npm/v/@langchain/openai?style=flat-square&label=%20&) |\n",
     "\n",
@@ -82,7 +82,7 @@
     "<IntegrationInstallTooltip></IntegrationInstallTooltip>\n",
     "\n",
     "<Npm2Yarn>\n",
-    "  @langchain/openai\n",
+    "  @langchain/openai @langchain/core\n",
     "</Npm2Yarn>\n",
     "\n",
     "```"
diff --git a/docs/core_docs/docs/integrations/chat/baidu_qianfan.mdx b/docs/core_docs/docs/integrations/chat/baidu_qianfan.mdx
index a4df5ccfa63a..7e9db88dcc36 100644
--- a/docs/core_docs/docs/integrations/chat/baidu_qianfan.mdx
+++ b/docs/core_docs/docs/integrations/chat/baidu_qianfan.mdx
@@ -15,7 +15,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @langchain/baidu-qianfan
+npm install @langchain/baidu-qianfan @langchain/core
 ```
 
 Available models: `ERNIE-Bot`,`ERNIE-Lite-8K`,`ERNIE-Bot-4`,`ERNIE-Speed-8K`,`ERNIE-Speed-128K`,`ERNIE-4.0-8K`,
diff --git a/docs/core_docs/docs/integrations/chat/baidu_wenxin.mdx b/docs/core_docs/docs/integrations/chat/baidu_wenxin.mdx
index 3a36bc738673..3ab0c963436b 100644
--- a/docs/core_docs/docs/integrations/chat/baidu_wenxin.mdx
+++ b/docs/core_docs/docs/integrations/chat/baidu_wenxin.mdx
@@ -20,7 +20,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @langchain/community
+npm install @langchain/community @langchain/core
 ```
 
 Available models: `ERNIE-Bot`,`ERNIE-Bot-turbo`,`ERNIE-Bot-4`,`ERNIE-Speed-8K`,`ERNIE-Speed-128K`,`ERNIE-4.0-8K`,
diff --git a/docs/core_docs/docs/integrations/chat/bedrock.ipynb b/docs/core_docs/docs/integrations/chat/bedrock.ipynb
index 77cea1cacefd..389fe1149020 100644
--- a/docs/core_docs/docs/integrations/chat/bedrock.ipynb
+++ b/docs/core_docs/docs/integrations/chat/bedrock.ipynb
@@ -34,7 +34,7 @@
     "## Overview\n",
     "### Integration details\n",
     "\n",
-    "| Class | Package | Local | Serializable | [PY support](https://python.langchain.com/v0.2/docs/integrations/chat/bedrock/) | Package downloads | Package latest |\n",
+    "| Class | Package | Local | Serializable | [PY support](https://python.langchain.com/docs/integrations/chat/bedrock/) | Package downloads | Package latest |\n",
     "| :--- | :--- | :---: | :---: |  :---: | :---: | :---: |\n",
     "| [`BedrockChat`](https://api.js.langchain.com/classes/langchain_community_chat_models_bedrock.BedrockChat.html) | [`@langchain/community`](https://npmjs.com/@langchain/community) | ❌ | ✅ | ✅ | ![NPM - Downloads](https://img.shields.io/npm/dm/@langchain/community?style=flat-square&label=%20&) | ![NPM - Version](https://img.shields.io/npm/v/@langchain/community?style=flat-square&label=%20&) |\n",
     "\n",
@@ -72,7 +72,7 @@
     "<IntegrationInstallTooltip></IntegrationInstallTooltip>\n",
     "\n",
     "<Npm2Yarn>\n",
-    "  @langchain/community @aws-crypto/sha256-js @aws-sdk/credential-provider-node @smithy/protocol-http @smithy/signature-v4 @smithy/eventstream-codec @smithy/util-utf8 @aws-sdk/types\n",
+    "  @langchain/community @langchain/core @aws-crypto/sha256-js @aws-sdk/credential-provider-node @smithy/protocol-http @smithy/signature-v4 @smithy/eventstream-codec @smithy/util-utf8 @aws-sdk/types\n",
     "</Npm2Yarn>\n",
     "```\n",
     "\n",
@@ -82,7 +82,7 @@
     "<IntegrationInstallTooltip></IntegrationInstallTooltip>\n",
     "\n",
     "<Npm2Yarn>\n",
-    "  @langchain/community @aws-crypto/sha256-js @smithy/protocol-http @smithy/signature-v4 @smithy/eventstream-codec @smithy/util-utf8 @aws-sdk/types\n",
+    "  @langchain/community @langchain/core @aws-crypto/sha256-js @smithy/protocol-http @smithy/signature-v4 @smithy/eventstream-codec @smithy/util-utf8 @aws-sdk/types\n",
     "</Npm2Yarn>\n",
     "\n",
     "```"
diff --git a/docs/core_docs/docs/integrations/chat/bedrock_converse.ipynb b/docs/core_docs/docs/integrations/chat/bedrock_converse.ipynb
index 2ea6d55cceeb..c07a99664b98 100644
--- a/docs/core_docs/docs/integrations/chat/bedrock_converse.ipynb
+++ b/docs/core_docs/docs/integrations/chat/bedrock_converse.ipynb
@@ -28,7 +28,7 @@
     "## Overview\n",
     "### Integration details\n",
     "\n",
-    "| Class | Package | Local | Serializable | [PY support](https://python.langchain.com/v0.2/docs/integrations/chat/bedrock/#beta-bedrock-converse-api) | Package downloads | Package latest |\n",
+    "| Class | Package | Local | Serializable | [PY support](https://python.langchain.com/docs/integrations/chat/bedrock/#beta-bedrock-converse-api) | Package downloads | Package latest |\n",
     "| :--- | :--- | :---: | :---: |  :---: | :---: | :---: |\n",
     "| [`ChatBedrockConverse`](https://api.js.langchain.com/classes/langchain_aws.ChatBedrockConverse.html) | [`@langchain/aws`](https://npmjs.com/@langchain/aws) | ❌ | ✅ | ✅ | ![NPM - Downloads](https://img.shields.io/npm/dm/@langchain/aws?style=flat-square&label=%20&) | ![NPM - Version](https://img.shields.io/npm/v/@langchain/aws?style=flat-square&label=%20&) |\n",
     "\n",
@@ -66,7 +66,7 @@
     "<IntegrationInstallTooltip></IntegrationInstallTooltip>\n",
     "\n",
     "<Npm2Yarn>\n",
-    "  @langchain/aws\n",
+    "  @langchain/aws @langchain/core\n",
     "</Npm2Yarn>\n",
     "\n",
     "```"
diff --git a/docs/core_docs/docs/integrations/chat/cloudflare_workersai.ipynb b/docs/core_docs/docs/integrations/chat/cloudflare_workersai.ipynb
index 19b72020ca2a..7202104efcd1 100644
--- a/docs/core_docs/docs/integrations/chat/cloudflare_workersai.ipynb
+++ b/docs/core_docs/docs/integrations/chat/cloudflare_workersai.ipynb
@@ -61,7 +61,7 @@
     "<IntegrationInstallTooltip></IntegrationInstallTooltip>\n",
     "\n",
     "<Npm2Yarn>\n",
-    "  @langchain/cloudflare\n",
+    "  @langchain/cloudflare @langchain/core\n",
     "</Npm2Yarn>\n",
     "\n",
     "```"
diff --git a/docs/core_docs/docs/integrations/chat/cohere.ipynb b/docs/core_docs/docs/integrations/chat/cohere.ipynb
index 9467e95fc989..375ad61993f9 100644
--- a/docs/core_docs/docs/integrations/chat/cohere.ipynb
+++ b/docs/core_docs/docs/integrations/chat/cohere.ipynb
@@ -74,7 +74,7 @@
     "<IntegrationInstallTooltip></IntegrationInstallTooltip>\n",
     "\n",
     "<Npm2Yarn>\n",
-    "  @langchain/cohere\n",
+    "  @langchain/cohere @langchain/core\n",
     "</Npm2Yarn>\n",
     "\n",
     "```"
diff --git a/docs/core_docs/docs/integrations/chat/deep_infra.mdx b/docs/core_docs/docs/integrations/chat/deep_infra.mdx
index 45eb8511c1e8..291e539d0c37 100644
--- a/docs/core_docs/docs/integrations/chat/deep_infra.mdx
+++ b/docs/core_docs/docs/integrations/chat/deep_infra.mdx
@@ -14,7 +14,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @langchain/community
+npm install @langchain/community @langchain/core
 ```
 
 You'll need to obtain an API key and set it as an environment variable named `DEEPINFRA_API_TOKEN`
diff --git a/docs/core_docs/docs/integrations/chat/fireworks.ipynb b/docs/core_docs/docs/integrations/chat/fireworks.ipynb
index 8cdd143f13b2..8b2528768b7f 100644
--- a/docs/core_docs/docs/integrations/chat/fireworks.ipynb
+++ b/docs/core_docs/docs/integrations/chat/fireworks.ipynb
@@ -71,7 +71,7 @@
     "<IntegrationInstallTooltip></IntegrationInstallTooltip>\n",
     "\n",
     "<Npm2Yarn>\n",
-    "  @langchain/community\n",
+    "  @langchain/community @langchain/core\n",
     "</Npm2Yarn>\n",
     "\n",
     "```"
diff --git a/docs/core_docs/docs/integrations/chat/friendli.mdx b/docs/core_docs/docs/integrations/chat/friendli.mdx
index 1e737307a924..16a14debf09d 100644
--- a/docs/core_docs/docs/integrations/chat/friendli.mdx
+++ b/docs/core_docs/docs/integrations/chat/friendli.mdx
@@ -13,7 +13,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @langchain/community
+npm install @langchain/community @langchain/core
 ```
 
 Sign in to [Friendli Suite](https://suite.friendli.ai/) to create a Personal Access Token, and set it as the `FRIENDLI_TOKEN` environment.
diff --git a/docs/core_docs/docs/integrations/chat/google_generativeai.ipynb b/docs/core_docs/docs/integrations/chat/google_generativeai.ipynb
index e46ecd104ceb..56594e736378 100644
--- a/docs/core_docs/docs/integrations/chat/google_generativeai.ipynb
+++ b/docs/core_docs/docs/integrations/chat/google_generativeai.ipynb
@@ -81,7 +81,7 @@
     "<IntegrationInstallTooltip></IntegrationInstallTooltip>\n",
     "\n",
     "<Npm2Yarn>\n",
-    "  @langchain/google-genai\n",
+    "  @langchain/google-genai @langchain/core\n",
     "</Npm2Yarn>\n",
     "\n",
     "```"
diff --git a/docs/core_docs/docs/integrations/chat/google_palm.mdx b/docs/core_docs/docs/integrations/chat/google_palm.mdx
deleted file mode 100644
index 2bc7731744a8..000000000000
--- a/docs/core_docs/docs/integrations/chat/google_palm.mdx
+++ /dev/null
@@ -1,138 +0,0 @@
----
-sidebar_label: (Legacy) Google PaLM/VertexAI
-sidebar_class_name: hidden
----
-
-import CodeBlock from "@theme/CodeBlock";
-
-# ChatGooglePaLM
-
-:::warning
-The Google PaLM API is deprecated and will be removed in 0.3.0. Please use the [Google GenAI](/docs/integrations/chat/google_generativeai) or [VertexAI](/docs/integrations/chat/google_vertex_ai) integrations instead.
-:::
-
-:::note
-This integration does not support `gemini-*` models. Check [Google GenAI](/docs/integrations/chat/google_generativeai) or [VertexAI](/docs/integrations/chat/google_vertex_ai).
-:::
-
-The [Google PaLM API](https://developers.generativeai.google/products/palm) can be integrated by first
-installing the required packages:
-
-import IntegrationInstallTooltip from "@mdx_components/integration_install_tooltip.mdx";
-
-<IntegrationInstallTooltip></IntegrationInstallTooltip>
-
-```bash npm2yarn
-npm install google-auth-library @google-ai/generativelanguage @langchain/community
-```
-
-import UnifiedModelParamsTooltip from "@mdx_components/unified_model_params_tooltip.mdx";
-
-<UnifiedModelParamsTooltip></UnifiedModelParamsTooltip>
-
-Create an **API key** from [Google MakerSuite](https://makersuite.google.com/app/apikey). You can then set
-the key as `GOOGLE_PALM_API_KEY` environment variable or pass it as `apiKey` parameter while instantiating
-the model.
-
-import GooglePaLMExample from "@examples/models/chat/integration_googlepalm.ts";
-
-<CodeBlock language="typescript">{GooglePaLMExample}</CodeBlock>
-
-# ChatGooglePaLM
-
-LangChain.js supports Google Vertex AI chat models as an integration.
-It supports two different methods of authentication based on whether you're running
-in a Node environment or a web environment.
-
-## Setup
-
-### Node
-
-To call Vertex AI models in Node, you'll need to install [Google's official auth client](https://www.npmjs.com/package/google-auth-library) as a peer dependency.
-
-You should make sure the Vertex AI API is
-enabled for the relevant project and that you've authenticated to
-Google Cloud using one of these methods:
-
-- You are logged into an account (using `gcloud auth application-default login`)
-  permitted to that project.
-- You are running on a machine using a service account that is permitted
-  to the project.
-- You have downloaded the credentials for a service account that is permitted
-  to the project and set the `GOOGLE_APPLICATION_CREDENTIALS` environment
-  variable to the path of this file.
-
-<IntegrationInstallTooltip></IntegrationInstallTooltip>
-
-```bash npm2yarn
-npm install google-auth-library @langchain/community
-```
-
-### Web
-
-To call Vertex AI models in web environments (like Edge functions), you'll need to install
-the [`web-auth-library`](https://github.com/kriasoft/web-auth-library) pacakge as a peer dependency:
-
-```bash npm2yarn
-npm install web-auth-library
-```
-
-Then, you'll need to add your service account credentials directly as a `GOOGLE_VERTEX_AI_WEB_CREDENTIALS` environment variable:
-
-```
-GOOGLE_VERTEX_AI_WEB_CREDENTIALS={"type":"service_account","project_id":"YOUR_PROJECT-12345",...}
-```
-
-You can also pass your credentials directly in code like this:
-
-```typescript
-import { ChatGoogleVertexAI } from "@langchain/community/chat_models/googlevertexai";
-
-const model = new ChatGoogleVertexAI({
-  authOptions: {
-    credentials: {"type":"service_account","project_id":"YOUR_PROJECT-12345",...},
-  },
-});
-```
-
-## Usage
-
-Several models are available and can be specified by the `model` attribute
-in the constructor. These include:
-
-- code-bison (default)
-- code-bison-32k
-
-The ChatGoogleVertexAI class works just like other chat-based LLMs,
-with a few exceptions:
-
-1. The first `SystemMessage` passed in is mapped to the "context" parameter that the PaLM model expects.
-   No other `SystemMessages` are allowed.
-2. After the first `SystemMessage`, there must be an odd number of messages, representing a conversation between a human and the model.
-3. Human messages must alternate with AI messages.
-
-import ChatGoogleVertexAI from "@examples/models/chat/integration_googlevertexai_legacy.ts";
-
-<CodeBlock language="typescript">{ChatGoogleVertexAI}</CodeBlock>
-
-### Streaming
-
-ChatGoogleVertexAI also supports streaming in multiple chunks for faster responses:
-
-import ChatGoogleVertexAIStreaming from "@examples/models/chat/integration_googlevertexai-streaming_legacy.ts";
-
-<CodeBlock language="typescript">{ChatGoogleVertexAIStreaming}</CodeBlock>
-
-### Examples
-
-There is also an optional `examples` constructor parameter that can help the model understand what an appropriate response
-looks like.
-
-import ChatGoogleVertexAIExamples from "@examples/models/chat/integration_googlevertexai-examples_legacy.ts";
-
-<CodeBlock language="typescript">{ChatGoogleVertexAIExamples}</CodeBlock>
-
-## Related
-
-- Chat model [conceptual guide](/docs/concepts/#chat-models)
-- Chat model [how-to guides](/docs/how_to/#chat-models)
diff --git a/docs/core_docs/docs/integrations/chat/google_vertex_ai.ipynb b/docs/core_docs/docs/integrations/chat/google_vertex_ai.ipynb
index f48211412ed6..2579e14501d2 100644
--- a/docs/core_docs/docs/integrations/chat/google_vertex_ai.ipynb
+++ b/docs/core_docs/docs/integrations/chat/google_vertex_ai.ipynb
@@ -80,13 +80,13 @@
     "<IntegrationInstallTooltip></IntegrationInstallTooltip>\n",
     "\n",
     "<Npm2Yarn>\n",
-    "  @langchain/google-vertexai\n",
+    "  @langchain/google-vertexai @langchain/core\n",
     "</Npm2Yarn>\n",
     "\n",
     "Or if using in a web environment like a [Vercel Edge function](https://vercel.com/blog/edge-functions-generally-available):\n",
     "\n",
     "<Npm2Yarn>\n",
-    "  @langchain/google-vertexai-web\n",
+    "  @langchain/google-vertexai-web @langchain/core\n",
     "</Npm2Yarn>\n",
     "\n",
     "```"
diff --git a/docs/core_docs/docs/integrations/chat/groq.ipynb b/docs/core_docs/docs/integrations/chat/groq.ipynb
index d5b395772b85..4bdc2ea7f6f3 100644
--- a/docs/core_docs/docs/integrations/chat/groq.ipynb
+++ b/docs/core_docs/docs/integrations/chat/groq.ipynb
@@ -72,7 +72,7 @@
     "<IntegrationInstallTooltip></IntegrationInstallTooltip>\n",
     "\n",
     "<Npm2Yarn>\n",
-    "  @langchain/groq\n",
+    "  @langchain/groq @langchain/core\n",
     "</Npm2Yarn>\n",
     "\n",
     "```"
diff --git a/docs/core_docs/docs/integrations/chat/llama_cpp.mdx b/docs/core_docs/docs/integrations/chat/llama_cpp.mdx
index ecf8e197014b..f68a709fb8e4 100644
--- a/docs/core_docs/docs/integrations/chat/llama_cpp.mdx
+++ b/docs/core_docs/docs/integrations/chat/llama_cpp.mdx
@@ -19,7 +19,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install -S node-llama-cpp @langchain/community
+npm install -S node-llama-cpp @langchain/community @langchain/core
 ```
 
 You will also need a local Llama 2 model (or a model supported by [node-llama-cpp](https://github.com/withcatai/node-llama-cpp)). You will need to pass the path to this model to the LlamaCpp module as a part of the parameters (see example).
diff --git a/docs/core_docs/docs/integrations/chat/minimax.mdx b/docs/core_docs/docs/integrations/chat/minimax.mdx
index df70ea1ee0af..8f2cc3224722 100644
--- a/docs/core_docs/docs/integrations/chat/minimax.mdx
+++ b/docs/core_docs/docs/integrations/chat/minimax.mdx
@@ -19,7 +19,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @langchain/community
+npm install @langchain/community @langchain/core
 ```
 
 import UnifiedModelParamsTooltip from "@mdx_components/unified_model_params_tooltip.mdx";
diff --git a/docs/core_docs/docs/integrations/chat/mistral.ipynb b/docs/core_docs/docs/integrations/chat/mistral.ipynb
index 9822a2aa8b4d..422f80205fb8 100644
--- a/docs/core_docs/docs/integrations/chat/mistral.ipynb
+++ b/docs/core_docs/docs/integrations/chat/mistral.ipynb
@@ -70,7 +70,7 @@
     "<IntegrationInstallTooltip></IntegrationInstallTooltip>\n",
     "\n",
     "<Npm2Yarn>\n",
-    "@langchain/mistralai\n",
+    "@langchain/mistralai @langchain/core\n",
     "</Npm2Yarn>\n",
     "\n",
     "```"
diff --git a/docs/core_docs/docs/integrations/chat/moonshot.mdx b/docs/core_docs/docs/integrations/chat/moonshot.mdx
index 6f3479335494..1fb914893f4c 100644
--- a/docs/core_docs/docs/integrations/chat/moonshot.mdx
+++ b/docs/core_docs/docs/integrations/chat/moonshot.mdx
@@ -23,7 +23,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @langchain/community
+npm install @langchain/community @langchain/core
 ```
 
 ## Usage
diff --git a/docs/core_docs/docs/integrations/chat/ollama.ipynb b/docs/core_docs/docs/integrations/chat/ollama.ipynb
index 2674ff77e500..6a1fdb36f40d 100644
--- a/docs/core_docs/docs/integrations/chat/ollama.ipynb
+++ b/docs/core_docs/docs/integrations/chat/ollama.ipynb
@@ -34,7 +34,7 @@
     "\n",
     "For a complete list of supported models and model variants, see the [Ollama model library](https://ollama.com/search) and search by tag.\n",
     "\n",
-    "| Class | Package | Local | Serializable | [PY support](https://python.langchain.com/v0.2/docs/integrations/chat/ollama) | Package downloads | Package latest |\n",
+    "| Class | Package | Local | Serializable | [PY support](https://python.langchain.com/docs/integrations/chat/ollama) | Package downloads | Package latest |\n",
     "| :--- | :--- | :---: | :---: |  :---: | :---: | :---: |\n",
     "| [ChatOllama](https://api.js.langchain.com/classes/langchain_ollama.ChatOllama.html) | [`@langchain/ollama`](https://www.npmjs.com/package/@langchain/ollama) | ✅ | beta | ✅ | ![NPM - Downloads](https://img.shields.io/npm/dm/@langchain/ollama?style=flat-square&label=%20&) | ![NPM - Version](https://img.shields.io/npm/v/@langchain/ollama?style=flat-square&label=%20&) |\n",
     "\n",
@@ -70,7 +70,7 @@
     "<IntegrationInstallTooltip></IntegrationInstallTooltip>\n",
     "\n",
     "<Npm2Yarn>\n",
-    "  @langchain/ollama\n",
+    "  @langchain/ollama @langchain/core\n",
     "</Npm2Yarn>\n",
     "\n",
     "```"
diff --git a/docs/core_docs/docs/integrations/chat/openai.ipynb b/docs/core_docs/docs/integrations/chat/openai.ipynb
index eb829b093865..61dc4103ddd0 100644
--- a/docs/core_docs/docs/integrations/chat/openai.ipynb
+++ b/docs/core_docs/docs/integrations/chat/openai.ipynb
@@ -71,7 +71,7 @@
     "<IntegrationInstallTooltip></IntegrationInstallTooltip>\n",
     "\n",
     "<Npm2Yarn>\n",
-    "  @langchain/openai\n",
+    "  @langchain/openai @langchain/core\n",
     "</Npm2Yarn>\n",
     "\n",
     "```"
diff --git a/docs/core_docs/docs/integrations/chat/premai.mdx b/docs/core_docs/docs/integrations/chat/premai.mdx
index ceb9f963604c..0f1af8aa7906 100644
--- a/docs/core_docs/docs/integrations/chat/premai.mdx
+++ b/docs/core_docs/docs/integrations/chat/premai.mdx
@@ -22,7 +22,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @langchain/community
+npm install @langchain/community @langchain/core
 ```
 
 import PremAI from "@examples/models/chat/integration_premai.ts";
diff --git a/docs/core_docs/docs/integrations/chat/tencent_hunyuan.mdx b/docs/core_docs/docs/integrations/chat/tencent_hunyuan.mdx
index 736a07833aa8..cb09e71a4164 100644
--- a/docs/core_docs/docs/integrations/chat/tencent_hunyuan.mdx
+++ b/docs/core_docs/docs/integrations/chat/tencent_hunyuan.mdx
@@ -21,7 +21,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @langchain/community
+npm install @langchain/community @langchain/core
 ```
 
 If you are using LangChain.js in a browser environment, you'll also need to install the following dependencies:
diff --git a/docs/core_docs/docs/integrations/chat/togetherai.ipynb b/docs/core_docs/docs/integrations/chat/togetherai.ipynb
index 4d98e2f5eb29..9c23fd5dc10a 100644
--- a/docs/core_docs/docs/integrations/chat/togetherai.ipynb
+++ b/docs/core_docs/docs/integrations/chat/togetherai.ipynb
@@ -70,7 +70,7 @@
     "<IntegrationInstallTooltip></IntegrationInstallTooltip>\n",
     "\n",
     "<Npm2Yarn>\n",
-    "  @langchain/community\n",
+    "  @langchain/community @langchain/core\n",
     "</Npm2Yarn>\n",
     "\n",
     "```"
diff --git a/docs/core_docs/docs/integrations/chat/web_llm.mdx b/docs/core_docs/docs/integrations/chat/web_llm.mdx
index 2b8add074b32..9e6720576a68 100644
--- a/docs/core_docs/docs/integrations/chat/web_llm.mdx
+++ b/docs/core_docs/docs/integrations/chat/web_llm.mdx
@@ -19,7 +19,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install -S @mlc-ai/web-llm @langchain/community
+npm install -S @mlc-ai/web-llm @langchain/community @langchain/core
 ```
 
 ## Usage
diff --git a/docs/core_docs/docs/integrations/chat/yandex.mdx b/docs/core_docs/docs/integrations/chat/yandex.mdx
index d600c6658360..481515454ead 100644
--- a/docs/core_docs/docs/integrations/chat/yandex.mdx
+++ b/docs/core_docs/docs/integrations/chat/yandex.mdx
@@ -24,7 +24,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @langchain/yandex
+npm install @langchain/yandex @langchain/core
 ```
 
 import CodeBlock from "@theme/CodeBlock";
diff --git a/docs/core_docs/docs/integrations/chat/zhipuai.mdx b/docs/core_docs/docs/integrations/chat/zhipuai.mdx
index 97d154fdcf00..2a3dca4a4d5a 100644
--- a/docs/core_docs/docs/integrations/chat/zhipuai.mdx
+++ b/docs/core_docs/docs/integrations/chat/zhipuai.mdx
@@ -23,7 +23,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @langchain/community jsonwebtoken
+npm install @langchain/community @langchain/core jsonwebtoken
 ```
 
 ## Usage
diff --git a/docs/core_docs/docs/integrations/document_compressors/cohere_rerank.mdx b/docs/core_docs/docs/integrations/document_compressors/cohere_rerank.mdx
index 15bf2ea743dc..2114d3d34f3c 100644
--- a/docs/core_docs/docs/integrations/document_compressors/cohere_rerank.mdx
+++ b/docs/core_docs/docs/integrations/document_compressors/cohere_rerank.mdx
@@ -13,7 +13,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @langchain/cohere
+npm install @langchain/cohere @langchain/core
 ```
 
 import CodeBlock from "@theme/CodeBlock";
diff --git a/docs/core_docs/docs/integrations/document_loaders/file_loaders/csv.ipynb b/docs/core_docs/docs/integrations/document_loaders/file_loaders/csv.ipynb
index 5f0f34c143d5..b50de026a839 100644
--- a/docs/core_docs/docs/integrations/document_loaders/file_loaders/csv.ipynb
+++ b/docs/core_docs/docs/integrations/document_loaders/file_loaders/csv.ipynb
@@ -56,7 +56,7 @@
     "<IntegrationInstallTooltip></IntegrationInstallTooltip>\n",
     "\n",
     "<Npm2Yarn>\n",
-    "  @langchain/community d3-dsv@2\n",
+    "  @langchain/community @langchain/core d3-dsv@2\n",
     "</Npm2Yarn>\n",
     "\n",
     "```"
diff --git a/docs/core_docs/docs/integrations/document_loaders/file_loaders/directory.ipynb b/docs/core_docs/docs/integrations/document_loaders/file_loaders/directory.ipynb
index f28d9aefe1f2..c6c50036c112 100644
--- a/docs/core_docs/docs/integrations/document_loaders/file_loaders/directory.ipynb
+++ b/docs/core_docs/docs/integrations/document_loaders/file_loaders/directory.ipynb
@@ -62,7 +62,7 @@
     "<IntegrationInstallTooltip></IntegrationInstallTooltip>\n",
     "\n",
     "<Npm2Yarn>\n",
-    "  langchain\n",
+    "  langchain @langchain/core\n",
     "</Npm2Yarn>\n",
     "\n",
     "```"
diff --git a/docs/core_docs/docs/integrations/document_loaders/file_loaders/docx.mdx b/docs/core_docs/docs/integrations/document_loaders/file_loaders/docx.mdx
index 95ce7b97dbda..baaf464a5e5b 100644
--- a/docs/core_docs/docs/integrations/document_loaders/file_loaders/docx.mdx
+++ b/docs/core_docs/docs/integrations/document_loaders/file_loaders/docx.mdx
@@ -9,7 +9,7 @@ This example goes over how to load data from docx files.
 # Setup
 
 ```bash npm2yarn
-npm install mammoth
+npm install @langchain/community @langchain/core mammoth
 ```
 
 # Usage
diff --git a/docs/core_docs/docs/integrations/document_loaders/file_loaders/epub.mdx b/docs/core_docs/docs/integrations/document_loaders/file_loaders/epub.mdx
index 7e0d6d2f5ebf..e3bf219617b0 100644
--- a/docs/core_docs/docs/integrations/document_loaders/file_loaders/epub.mdx
+++ b/docs/core_docs/docs/integrations/document_loaders/file_loaders/epub.mdx
@@ -9,7 +9,7 @@ This example goes over how to load data from EPUB files. By default, one documen
 # Setup
 
 ```bash npm2yarn
-npm install epub2 html-to-text
+npm install @langchian/community @langchain/core epub2 html-to-text
 ```
 
 # Usage, one document per chapter
diff --git a/docs/core_docs/docs/integrations/document_loaders/file_loaders/pdf.ipynb b/docs/core_docs/docs/integrations/document_loaders/file_loaders/pdf.ipynb
index ac0092586134..1a4e0ec67788 100644
--- a/docs/core_docs/docs/integrations/document_loaders/file_loaders/pdf.ipynb
+++ b/docs/core_docs/docs/integrations/document_loaders/file_loaders/pdf.ipynb
@@ -54,7 +54,7 @@
     "<IntegrationInstallTooltip></IntegrationInstallTooltip>\n",
     "\n",
     "<Npm2Yarn>\n",
-    "  @langchain/community pdf-parse\n",
+    "  @langchain/community @langchain/core pdf-parse\n",
     "</Npm2Yarn>\n",
     "\n",
     "```"
diff --git a/docs/core_docs/docs/integrations/document_loaders/file_loaders/unstructured.ipynb b/docs/core_docs/docs/integrations/document_loaders/file_loaders/unstructured.ipynb
index c8dd6338a5e5..37c47a4cb761 100644
--- a/docs/core_docs/docs/integrations/document_loaders/file_loaders/unstructured.ipynb
+++ b/docs/core_docs/docs/integrations/document_loaders/file_loaders/unstructured.ipynb
@@ -70,7 +70,7 @@
     "<IntegrationInstallTooltip></IntegrationInstallTooltip>\n",
     "\n",
     "<Npm2Yarn>\n",
-    "  @langchain/community\n",
+    "  @langchain/community @langchain/core\n",
     "</Npm2Yarn>\n",
     "\n",
     "```"
@@ -158,7 +158,7 @@
    "source": [
     "## Directories\n",
     "\n",
-    "You can also load all of the files in the directory using [`UnstructuredDirectoryLoader`](https://v02.api.js.langchain.com/classes/langchain.document_loaders_fs_unstructured.UnstructuredDirectoryLoader.html), which inherits from [`DirectoryLoader`](/docs/integrations/document_loaders/file_loaders/directory):\n"
+    "You can also load all of the files in the directory using [`UnstructuredDirectoryLoader`](https://api.js.langchain.com/classes/langchain.document_loaders_fs_unstructured.UnstructuredDirectoryLoader.html), which inherits from [`DirectoryLoader`](/docs/integrations/document_loaders/file_loaders/directory):\n"
    ]
   },
   {
diff --git a/docs/core_docs/docs/integrations/document_loaders/web_loaders/apify_dataset.mdx b/docs/core_docs/docs/integrations/document_loaders/web_loaders/apify_dataset.mdx
index dbe5a879807c..4759c110beb1 100644
--- a/docs/core_docs/docs/integrations/document_loaders/web_loaders/apify_dataset.mdx
+++ b/docs/core_docs/docs/integrations/document_loaders/web_loaders/apify_dataset.mdx
@@ -38,7 +38,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @langchain/openai @langchain/community
+npm install @langchain/openai @langchain/community @langchain/core
 ```
 
 You'll also need to sign up and retrieve your [Apify API token](https://console.apify.com/account/integrations).
diff --git a/docs/core_docs/docs/integrations/document_loaders/web_loaders/assemblyai_audio_transcription.mdx b/docs/core_docs/docs/integrations/document_loaders/web_loaders/assemblyai_audio_transcription.mdx
index 37dd9197502c..80ecaa9d69ac 100644
--- a/docs/core_docs/docs/integrations/document_loaders/web_loaders/assemblyai_audio_transcription.mdx
+++ b/docs/core_docs/docs/integrations/document_loaders/web_loaders/assemblyai_audio_transcription.mdx
@@ -13,7 +13,7 @@ This covers how to load audio (and video) transcripts as document objects from a
 First, you'll need to install the official AssemblyAI package:
 
 ```bash npm2yarn
-npm install assemblyai
+npm install @langchain/community @langchain/core assemblyai
 ```
 
 To use the loaders you need an [AssemblyAI account](https://www.assemblyai.com/dashboard/signup?utm_source=langchainjs) and
diff --git a/docs/core_docs/docs/integrations/document_loaders/web_loaders/azure_blob_storage_container.mdx b/docs/core_docs/docs/integrations/document_loaders/web_loaders/azure_blob_storage_container.mdx
index 9e581110a5a1..1adfd00e1186 100644
--- a/docs/core_docs/docs/integrations/document_loaders/web_loaders/azure_blob_storage_container.mdx
+++ b/docs/core_docs/docs/integrations/document_loaders/web_loaders/azure_blob_storage_container.mdx
@@ -20,7 +20,7 @@ See the docs [here](/docs/integrations/document_loaders/file_loaders/unstructure
 You'll also need to install the official Azure Storage Blob client library:
 
 ```bash npm2yarn
-npm install @azure/storage-blob
+npm install @langchain/community @langchain/core @azure/storage-blob
 ```
 
 ## Usage
diff --git a/docs/core_docs/docs/integrations/document_loaders/web_loaders/azure_blob_storage_file.mdx b/docs/core_docs/docs/integrations/document_loaders/web_loaders/azure_blob_storage_file.mdx
index 7fff9be06836..a19399d41356 100644
--- a/docs/core_docs/docs/integrations/document_loaders/web_loaders/azure_blob_storage_file.mdx
+++ b/docs/core_docs/docs/integrations/document_loaders/web_loaders/azure_blob_storage_file.mdx
@@ -20,7 +20,7 @@ See the docs [here](/docs/integrations/document_loaders/file_loaders/unstructure
 You'll also need to install the official Azure Storage Blob client library:
 
 ```bash npm2yarn
-npm install @azure/storage-blob
+npm install @langchain/community @langchain/core @azure/storage-blob
 ```
 
 ## Usage
diff --git a/docs/core_docs/docs/integrations/document_loaders/web_loaders/browserbase.mdx b/docs/core_docs/docs/integrations/document_loaders/web_loaders/browserbase.mdx
index bd45874b18bc..d656cde69c0c 100644
--- a/docs/core_docs/docs/integrations/document_loaders/web_loaders/browserbase.mdx
+++ b/docs/core_docs/docs/integrations/document_loaders/web_loaders/browserbase.mdx
@@ -17,7 +17,7 @@ Power your AI data retrievals with:
 - Install the [Browserbase SDK](http://github.com/browserbase/js-sdk):
 
 ```bash npm2yarn
-npm i @browserbasehq/sdk
+npm i @langchain/community @langchain/core @browserbasehq/sdk
 ```
 
 ## Example
diff --git a/docs/core_docs/docs/integrations/document_loaders/web_loaders/college_confidential.mdx b/docs/core_docs/docs/integrations/document_loaders/web_loaders/college_confidential.mdx
index 6bc1f62ab144..6119bfaf4477 100644
--- a/docs/core_docs/docs/integrations/document_loaders/web_loaders/college_confidential.mdx
+++ b/docs/core_docs/docs/integrations/document_loaders/web_loaders/college_confidential.mdx
@@ -9,7 +9,7 @@ This example goes over how to load data from the college confidential website, u
 ## Setup
 
 ```bash npm2yarn
-npm install cheerio
+npm install @langchain/community @langchain/core cheerio
 ```
 
 ## Usage
diff --git a/docs/core_docs/docs/integrations/document_loaders/web_loaders/confluence.mdx b/docs/core_docs/docs/integrations/document_loaders/web_loaders/confluence.mdx
index 4b1db435a8da..83c289a0d169 100644
--- a/docs/core_docs/docs/integrations/document_loaders/web_loaders/confluence.mdx
+++ b/docs/core_docs/docs/integrations/document_loaders/web_loaders/confluence.mdx
@@ -17,7 +17,7 @@ This covers how to load document objects from pages in a Confluence space.
 - And you'll need to install `html-to-text` to parse the pages into plain text
 
 ```bash npm2yarn
-npm install html-to-text
+npm install @langchain/community @langchain/core html-to-text
 ```
 
 ## Usage
diff --git a/docs/core_docs/docs/integrations/document_loaders/web_loaders/couchbase.mdx b/docs/core_docs/docs/integrations/document_loaders/web_loaders/couchbase.mdx
index 4b8fd86d819d..dd176fcd91d1 100644
--- a/docs/core_docs/docs/integrations/document_loaders/web_loaders/couchbase.mdx
+++ b/docs/core_docs/docs/integrations/document_loaders/web_loaders/couchbase.mdx
@@ -12,7 +12,7 @@ This guide shows how to use load documents from couchbase database.
 # Installation
 
 ```bash npm2yarn
-npm install couchbase
+npm install @langchain/community @langchain/core couchbase
 ```
 
 ## Usage
diff --git a/docs/core_docs/docs/integrations/document_loaders/web_loaders/firecrawl.ipynb b/docs/core_docs/docs/integrations/document_loaders/web_loaders/firecrawl.ipynb
index ab81ec8b86c6..7f6ca8fa5d96 100644
--- a/docs/core_docs/docs/integrations/document_loaders/web_loaders/firecrawl.ipynb
+++ b/docs/core_docs/docs/integrations/document_loaders/web_loaders/firecrawl.ipynb
@@ -67,7 +67,7 @@
     "<IntegrationInstallTooltip></IntegrationInstallTooltip>\n",
     "\n",
     "<Npm2Yarn>\n",
-    "  @langchain/community @mendable/firecrawl-js\n",
+    "  @langchain/community @langchain/core @mendable/firecrawl-js\n",
     "</Npm2Yarn>\n",
     "\n",
     "```"
diff --git a/docs/core_docs/docs/integrations/document_loaders/web_loaders/gitbook.mdx b/docs/core_docs/docs/integrations/document_loaders/web_loaders/gitbook.mdx
index c436e4551948..a7e99600b9ab 100644
--- a/docs/core_docs/docs/integrations/document_loaders/web_loaders/gitbook.mdx
+++ b/docs/core_docs/docs/integrations/document_loaders/web_loaders/gitbook.mdx
@@ -9,7 +9,7 @@ This example goes over how to load data from any GitBook, using Cheerio. One doc
 ## Setup
 
 ```bash npm2yarn
-npm install cheerio
+npm install @langchain/community @langchain/core cheerio
 ```
 
 ## Load from single GitBook page
diff --git a/docs/core_docs/docs/integrations/document_loaders/web_loaders/github.mdx b/docs/core_docs/docs/integrations/document_loaders/web_loaders/github.mdx
index addc4e88744b..4c7677624730 100644
--- a/docs/core_docs/docs/integrations/document_loaders/web_loaders/github.mdx
+++ b/docs/core_docs/docs/integrations/document_loaders/web_loaders/github.mdx
@@ -13,7 +13,7 @@ You can set the `GITHUB_ACCESS_TOKEN` environment variable to a GitHub access to
 The GitHub loader requires the [ignore npm package](https://www.npmjs.com/package/ignore) as a peer dependency. Install it like this:
 
 ```bash npm2yarn
-npm install ignore
+npm install @langchain/community @langchain/core ignore
 ```
 
 ## Usage
diff --git a/docs/core_docs/docs/integrations/document_loaders/web_loaders/hn.mdx b/docs/core_docs/docs/integrations/document_loaders/web_loaders/hn.mdx
index 6887bd375c0b..44bf2f491e9f 100644
--- a/docs/core_docs/docs/integrations/document_loaders/web_loaders/hn.mdx
+++ b/docs/core_docs/docs/integrations/document_loaders/web_loaders/hn.mdx
@@ -9,7 +9,7 @@ This example goes over how to load data from the hacker news website, using Chee
 ## Setup
 
 ```bash npm2yarn
-npm install cheerio
+npm install @langchain/community @langchain/core cheerio
 ```
 
 ## Usage
diff --git a/docs/core_docs/docs/integrations/document_loaders/web_loaders/imsdb.mdx b/docs/core_docs/docs/integrations/document_loaders/web_loaders/imsdb.mdx
index 59b639096e17..357d2d904e29 100644
--- a/docs/core_docs/docs/integrations/document_loaders/web_loaders/imsdb.mdx
+++ b/docs/core_docs/docs/integrations/document_loaders/web_loaders/imsdb.mdx
@@ -9,7 +9,7 @@ This example goes over how to load data from the internet movie script database
 ## Setup
 
 ```bash npm2yarn
-npm install cheerio
+npm install @langchain/community @langchain/core cheerio
 ```
 
 ## Usage
diff --git a/docs/core_docs/docs/integrations/document_loaders/web_loaders/notionapi.mdx b/docs/core_docs/docs/integrations/document_loaders/web_loaders/notionapi.mdx
index 4d94fb2c322d..c0d5cf350f86 100644
--- a/docs/core_docs/docs/integrations/document_loaders/web_loaders/notionapi.mdx
+++ b/docs/core_docs/docs/integrations/document_loaders/web_loaders/notionapi.mdx
@@ -18,7 +18,7 @@ This document loader is able to take full Notion pages and databases and turn th
 1. You will first need to install the official Notion client and the [notion-to-md](https://www.npmjs.com/package/notion-to-md) package as peer dependencies:
 
 ```bash npm2yarn
-npm install @notionhq/client notion-to-md
+npm install @langchain/community @langchain/core @notionhq/client notion-to-md
 ```
 
 2. Create a [Notion integration](https://www.notion.so/my-integrations) and securely record the Internal Integration Secret (also known as `NOTION_INTEGRATION_TOKEN`).
diff --git a/docs/core_docs/docs/integrations/document_loaders/web_loaders/pdf.ipynb b/docs/core_docs/docs/integrations/document_loaders/web_loaders/pdf.ipynb
index 5c05e476bf5b..1c7927de592a 100644
--- a/docs/core_docs/docs/integrations/document_loaders/web_loaders/pdf.ipynb
+++ b/docs/core_docs/docs/integrations/document_loaders/web_loaders/pdf.ipynb
@@ -56,7 +56,7 @@
     "<IntegrationInstallTooltip></IntegrationInstallTooltip>\n",
     "\n",
     "<Npm2Yarn>\n",
-    "  @langchain/community pdf-parse\n",
+    "  @langchain/community @langchain/core pdf-parse\n",
     "</Npm2Yarn>\n",
     "\n",
     "```"
diff --git a/docs/core_docs/docs/integrations/document_loaders/web_loaders/recursive_url_loader.ipynb b/docs/core_docs/docs/integrations/document_loaders/web_loaders/recursive_url_loader.ipynb
index ec13013b245c..001cd2fe1567 100644
--- a/docs/core_docs/docs/integrations/document_loaders/web_loaders/recursive_url_loader.ipynb
+++ b/docs/core_docs/docs/integrations/document_loaders/web_loaders/recursive_url_loader.ipynb
@@ -75,7 +75,7 @@
     "<IntegrationInstallTooltip></IntegrationInstallTooltip>\n",
     "\n",
     "<Npm2Yarn>\n",
-    "  @langchain/community jsdom\n",
+    "  @langchain/community @langchain/core jsdom\n",
     "</Npm2Yarn>\n",
     "\n",
     "We also suggest adding a package like [`html-to-text`](https://www.npmjs.com/package/html-to-text) or\n",
diff --git a/docs/core_docs/docs/integrations/document_loaders/web_loaders/s3.mdx b/docs/core_docs/docs/integrations/document_loaders/web_loaders/s3.mdx
index f4db00550168..86f8e637a992 100644
--- a/docs/core_docs/docs/integrations/document_loaders/web_loaders/s3.mdx
+++ b/docs/core_docs/docs/integrations/document_loaders/web_loaders/s3.mdx
@@ -20,7 +20,7 @@ See the docs [here](/docs/integrations/document_loaders/file_loaders/unstructure
 You'll also need to install the official AWS SDK:
 
 ```bash npm2yarn
-npm install @aws-sdk/client-s3
+npm install @langchain/community @langchain/core @aws-sdk/client-s3
 ```
 
 ## Usage
diff --git a/docs/core_docs/docs/integrations/document_loaders/web_loaders/searchapi.mdx b/docs/core_docs/docs/integrations/document_loaders/web_loaders/searchapi.mdx
index 48be349f32c5..6ac14a71bab9 100644
--- a/docs/core_docs/docs/integrations/document_loaders/web_loaders/searchapi.mdx
+++ b/docs/core_docs/docs/integrations/document_loaders/web_loaders/searchapi.mdx
@@ -30,7 +30,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @langchain/openai
+npm install @langchain/community @langchain/core @langchain/openai
 ```
 
 <CodeBlock language="typescript">{Example}</CodeBlock>
diff --git a/docs/core_docs/docs/integrations/document_loaders/web_loaders/serpapi.mdx b/docs/core_docs/docs/integrations/document_loaders/web_loaders/serpapi.mdx
index 6a74b9314c5f..768c43480c76 100644
--- a/docs/core_docs/docs/integrations/document_loaders/web_loaders/serpapi.mdx
+++ b/docs/core_docs/docs/integrations/document_loaders/web_loaders/serpapi.mdx
@@ -28,7 +28,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @langchain/openai
+npm install @langchain/community @langchain/core @langchain/openai
 ```
 
 <CodeBlock language="typescript">{Example}</CodeBlock>
diff --git a/docs/core_docs/docs/integrations/document_loaders/web_loaders/sitemap.mdx b/docs/core_docs/docs/integrations/document_loaders/web_loaders/sitemap.mdx
index 6989a2101f7b..6f69d1d88ac0 100644
--- a/docs/core_docs/docs/integrations/document_loaders/web_loaders/sitemap.mdx
+++ b/docs/core_docs/docs/integrations/document_loaders/web_loaders/sitemap.mdx
@@ -1,13 +1,13 @@
 # Sitemap Loader
 
-This notebook goes over how to use the [`SitemapLoader`](https://v02.api.js.langchain.com/classes/langchain.document_loaders_web_sitemap.SitemapLoader.html) class to load sitemaps into `Document`s.
+This notebook goes over how to use the [`SitemapLoader`](https://api.js.langchain.com/classes/_langchain_community.document_loaders_web_sitemap.SitemapLoader.html) class to load sitemaps into `Document`s.
 
 ## Setup
 
 First, we need to install the `langchain` package:
 
 ```bash npm2yarn
-npm install --save langchain
+npm install @langchain/community @langchain/core
 ```
 
 The URL passed in must either contain the `.xml` path to the sitemap, or a default `/sitemap.xml` will be appended to the URL.
diff --git a/docs/core_docs/docs/integrations/document_loaders/web_loaders/sonix_audio_transcription.mdx b/docs/core_docs/docs/integrations/document_loaders/web_loaders/sonix_audio_transcription.mdx
index 82d5959683a0..3a7d916f5314 100644
--- a/docs/core_docs/docs/integrations/document_loaders/web_loaders/sonix_audio_transcription.mdx
+++ b/docs/core_docs/docs/integrations/document_loaders/web_loaders/sonix_audio_transcription.mdx
@@ -18,7 +18,7 @@ To run this loader you will need to create an account on the https://sonix.ai/ a
 You'll also need to install the `sonix-speech-recognition` library:
 
 ```bash npm2yarn
-npm install sonix-speech-recognition
+npm install @langchain/community @langchain/core sonix-speech-recognition
 ```
 
 ## Usage
diff --git a/docs/core_docs/docs/integrations/document_loaders/web_loaders/sort_xyz_blockchain.mdx b/docs/core_docs/docs/integrations/document_loaders/web_loaders/sort_xyz_blockchain.mdx
index 0d865e882b95..884353789521 100644
--- a/docs/core_docs/docs/integrations/document_loaders/web_loaders/sort_xyz_blockchain.mdx
+++ b/docs/core_docs/docs/integrations/document_loaders/web_loaders/sort_xyz_blockchain.mdx
@@ -16,7 +16,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @langchain/openai
+npm install @langchain/community @langchain/core @langchain/openai
 ```
 
 <CodeBlock language="typescript">{Example}</CodeBlock>
diff --git a/docs/core_docs/docs/integrations/document_loaders/web_loaders/spider.mdx b/docs/core_docs/docs/integrations/document_loaders/web_loaders/spider.mdx
index fec945d2adba..98baf205d7db 100644
--- a/docs/core_docs/docs/integrations/document_loaders/web_loaders/spider.mdx
+++ b/docs/core_docs/docs/integrations/document_loaders/web_loaders/spider.mdx
@@ -26,7 +26,7 @@ import CodeBlock from "@theme/CodeBlock";
 import Example from "@examples/document_loaders/spider.ts";
 
 ```bash npm2yarn
-npm install @spider-cloud/spider-client
+npm install @langchain/community @langchain/core @spider-cloud/spider-client
 ```
 
 <CodeBlock language="typescript">{Example}</CodeBlock>
diff --git a/docs/core_docs/docs/integrations/document_loaders/web_loaders/web_cheerio.ipynb b/docs/core_docs/docs/integrations/document_loaders/web_loaders/web_cheerio.ipynb
index 488205129b1d..a68f976c0fd8 100644
--- a/docs/core_docs/docs/integrations/document_loaders/web_loaders/web_cheerio.ipynb
+++ b/docs/core_docs/docs/integrations/document_loaders/web_loaders/web_cheerio.ipynb
@@ -58,7 +58,7 @@
     "<IntegrationInstallTooltip></IntegrationInstallTooltip>\n",
     "\n",
     "<Npm2Yarn>\n",
-    "  @langchain/community cheerio\n",
+    "  @langchain/community @langchain/core cheerio\n",
     "</Npm2Yarn>\n",
     "\n",
     "```"
diff --git a/docs/core_docs/docs/integrations/document_loaders/web_loaders/web_playwright.mdx b/docs/core_docs/docs/integrations/document_loaders/web_loaders/web_playwright.mdx
index 80dcf76759d6..65245964cd8a 100644
--- a/docs/core_docs/docs/integrations/document_loaders/web_loaders/web_playwright.mdx
+++ b/docs/core_docs/docs/integrations/document_loaders/web_loaders/web_playwright.mdx
@@ -20,7 +20,7 @@ If you want a lighterweight solution, and the webpages you want to load do not r
 ## Setup
 
 ```bash npm2yarn
-npm install playwright
+npm install @langchain/community @langchain/core playwright
 ```
 
 ## Usage
diff --git a/docs/core_docs/docs/integrations/document_loaders/web_loaders/web_puppeteer.ipynb b/docs/core_docs/docs/integrations/document_loaders/web_loaders/web_puppeteer.ipynb
index 332ded7ae820..746b88214d54 100644
--- a/docs/core_docs/docs/integrations/document_loaders/web_loaders/web_puppeteer.ipynb
+++ b/docs/core_docs/docs/integrations/document_loaders/web_loaders/web_puppeteer.ipynb
@@ -65,7 +65,7 @@
     "<IntegrationInstallTooltip></IntegrationInstallTooltip>\n",
     "\n",
     "<Npm2Yarn>\n",
-    "  @langchain/community puppeteer\n",
+    "  @langchain/community @langchain/core puppeteer\n",
     "</Npm2Yarn>\n",
     "\n",
     "```"
diff --git a/docs/core_docs/docs/integrations/document_loaders/web_loaders/youtube.mdx b/docs/core_docs/docs/integrations/document_loaders/web_loaders/youtube.mdx
index 39b8713c70ee..9c65c0164d24 100644
--- a/docs/core_docs/docs/integrations/document_loaders/web_loaders/youtube.mdx
+++ b/docs/core_docs/docs/integrations/document_loaders/web_loaders/youtube.mdx
@@ -12,7 +12,7 @@ You'll need to install the [youtube-transcript](https://www.npmjs.com/package/yo
 and [youtubei.js](https://www.npmjs.com/package/youtubei.js) to extract metadata:
 
 ```bash npm2yarn
-npm install youtube-transcript youtubei.js
+npm install @langchain/community @langchain/core youtube-transcript youtubei.js
 ```
 
 ## Usage
diff --git a/docs/core_docs/docs/integrations/document_transformers/html-to-text.mdx b/docs/core_docs/docs/integrations/document_transformers/html-to-text.mdx
index 71dcbdeb2050..1009ffa5bc0f 100644
--- a/docs/core_docs/docs/integrations/document_transformers/html-to-text.mdx
+++ b/docs/core_docs/docs/integrations/document_transformers/html-to-text.mdx
@@ -22,7 +22,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @langchain/community
+npm install @langchain/community @langchain/core
 ```
 
 ## Usage
diff --git a/docs/core_docs/docs/integrations/document_transformers/mozilla_readability.mdx b/docs/core_docs/docs/integrations/document_transformers/mozilla_readability.mdx
index c2055ea4c480..7858cb16c074 100644
--- a/docs/core_docs/docs/integrations/document_transformers/mozilla_readability.mdx
+++ b/docs/core_docs/docs/integrations/document_transformers/mozilla_readability.mdx
@@ -22,7 +22,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @langchain/community
+npm install @langchain/community @langchain/core
 ```
 
 ## Usage
diff --git a/docs/core_docs/docs/integrations/document_transformers/openai_metadata_tagger.mdx b/docs/core_docs/docs/integrations/document_transformers/openai_metadata_tagger.mdx
index e1108a83cced..3456adeeec5a 100644
--- a/docs/core_docs/docs/integrations/document_transformers/openai_metadata_tagger.mdx
+++ b/docs/core_docs/docs/integrations/document_transformers/openai_metadata_tagger.mdx
@@ -18,7 +18,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @langchain/openai
+npm install @langchain/openai @langchain/core
 ```
 
 <CodeBlock language="typescript">{Example}</CodeBlock>
diff --git a/docs/core_docs/docs/integrations/llms/ai21.mdx b/docs/core_docs/docs/integrations/llms/ai21.mdx
index fbf392faaccc..4a8cabaef115 100644
--- a/docs/core_docs/docs/integrations/llms/ai21.mdx
+++ b/docs/core_docs/docs/integrations/llms/ai21.mdx
@@ -9,7 +9,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @langchain/community
+npm install @langchain/community @langchain/core
 ```
 
 import CodeBlock from "@theme/CodeBlock";
diff --git a/docs/core_docs/docs/integrations/llms/aleph_alpha.mdx b/docs/core_docs/docs/integrations/llms/aleph_alpha.mdx
index dc744330c1d7..bd58660b3cb0 100644
--- a/docs/core_docs/docs/integrations/llms/aleph_alpha.mdx
+++ b/docs/core_docs/docs/integrations/llms/aleph_alpha.mdx
@@ -9,7 +9,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @langchain/community
+npm install @langchain/community @langchain/core
 ```
 
 import CodeBlock from "@theme/CodeBlock";
diff --git a/docs/core_docs/docs/integrations/llms/arcjet.ipynb b/docs/core_docs/docs/integrations/llms/arcjet.ipynb
index 730ed86c74a8..2c81a7a71aec 100644
--- a/docs/core_docs/docs/integrations/llms/arcjet.ipynb
+++ b/docs/core_docs/docs/integrations/llms/arcjet.ipynb
@@ -59,7 +59,7 @@
     "<IntegrationInstallTooltip></IntegrationInstallTooltip>\n",
     "\n",
     "<Npm2Yarn>\n",
-    "  @langchain/community\n",
+    "  @langchain/community @langchain/core\n",
     "</Npm2Yarn>\n",
     "\n",
     "And now you're ready to start protecting your LLM calls with Arcjet Redaction!\n",
diff --git a/docs/core_docs/docs/integrations/llms/aws_sagemaker.mdx b/docs/core_docs/docs/integrations/llms/aws_sagemaker.mdx
index 1f65b5feb246..48abd663727c 100644
--- a/docs/core_docs/docs/integrations/llms/aws_sagemaker.mdx
+++ b/docs/core_docs/docs/integrations/llms/aws_sagemaker.mdx
@@ -15,7 +15,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @langchain/community
+npm install @langchain/community @langchain/core
 ```
 
 ## Usage
diff --git a/docs/core_docs/docs/integrations/llms/azure.ipynb b/docs/core_docs/docs/integrations/llms/azure.ipynb
index 2d7f93ed1c78..b8b3a0e60c2b 100644
--- a/docs/core_docs/docs/integrations/llms/azure.ipynb
+++ b/docs/core_docs/docs/integrations/llms/azure.ipynb
@@ -91,7 +91,7 @@
     "<IntegrationInstallTooltip></IntegrationInstallTooltip>\n",
     "\n",
     "<Npm2Yarn>\n",
-    "  @langchain/openai\n",
+    "  @langchain/openai @langchain/core\n",
     "</Npm2Yarn>\n",
     "\n",
     "```"
diff --git a/docs/core_docs/docs/integrations/llms/bedrock.ipynb b/docs/core_docs/docs/integrations/llms/bedrock.ipynb
index d052781f33a6..604f1267b95e 100644
--- a/docs/core_docs/docs/integrations/llms/bedrock.ipynb
+++ b/docs/core_docs/docs/integrations/llms/bedrock.ipynb
@@ -71,7 +71,7 @@
     "<IntegrationInstallTooltip></IntegrationInstallTooltip>\n",
     "\n",
     "<Npm2Yarn>\n",
-    "  @langchain/community\n",
+    "  @langchain/community @langchain/core\n",
     "</Npm2Yarn>\n",
     "\n",
     "And install the peer dependencies:\n",
diff --git a/docs/core_docs/docs/integrations/llms/cloudflare_workersai.ipynb b/docs/core_docs/docs/integrations/llms/cloudflare_workersai.ipynb
index 66b1ba43f40a..b4d13ec0fdeb 100644
--- a/docs/core_docs/docs/integrations/llms/cloudflare_workersai.ipynb
+++ b/docs/core_docs/docs/integrations/llms/cloudflare_workersai.ipynb
@@ -49,7 +49,7 @@
     "<IntegrationInstallTooltip></IntegrationInstallTooltip>\n",
     "\n",
     "<Npm2Yarn>\n",
-    "  @langchain/cloudflare\n",
+    "  @langchain/cloudflare @langchain/core\n",
     "</Npm2Yarn>\n",
     "\n",
     "```"
diff --git a/docs/core_docs/docs/integrations/llms/cohere.ipynb b/docs/core_docs/docs/integrations/llms/cohere.ipynb
index 054d857e7aca..63ac3e60d16f 100644
--- a/docs/core_docs/docs/integrations/llms/cohere.ipynb
+++ b/docs/core_docs/docs/integrations/llms/cohere.ipynb
@@ -72,7 +72,7 @@
     "<IntegrationInstallTooltip></IntegrationInstallTooltip>\n",
     "\n",
     "<Npm2Yarn>\n",
-    "  @langchain/cohere\n",
+    "  @langchain/cohere @langchain/core\n",
     "</Npm2Yarn>\n",
     "\n",
     "```"
diff --git a/docs/core_docs/docs/integrations/llms/deep_infra.mdx b/docs/core_docs/docs/integrations/llms/deep_infra.mdx
index 3e6aab447937..58e4313e8f76 100644
--- a/docs/core_docs/docs/integrations/llms/deep_infra.mdx
+++ b/docs/core_docs/docs/integrations/llms/deep_infra.mdx
@@ -14,7 +14,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @langchain/community
+npm install @langchain/community @langchain/core
 ```
 
 You'll need to obtain an API key and set it as an environment variable named `DEEPINFRA_API_TOKEN`
diff --git a/docs/core_docs/docs/integrations/llms/fireworks.ipynb b/docs/core_docs/docs/integrations/llms/fireworks.ipynb
index ac5f684a9913..c16fa6c019c7 100644
--- a/docs/core_docs/docs/integrations/llms/fireworks.ipynb
+++ b/docs/core_docs/docs/integrations/llms/fireworks.ipynb
@@ -69,7 +69,7 @@
     "<IntegrationInstallTooltip></IntegrationInstallTooltip>\n",
     "\n",
     "<Npm2Yarn>\n",
-    "  @langchain/community\n",
+    "  @langchain/community @langchain/core\n",
     "</Npm2Yarn>\n",
     "\n",
     "```"
diff --git a/docs/core_docs/docs/integrations/llms/friendli.mdx b/docs/core_docs/docs/integrations/llms/friendli.mdx
index 0582e39a6a26..398c430049c8 100644
--- a/docs/core_docs/docs/integrations/llms/friendli.mdx
+++ b/docs/core_docs/docs/integrations/llms/friendli.mdx
@@ -13,7 +13,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @langchain/community
+npm install @langchain/community @langchain/core
 ```
 
 Sign in to [Friendli Suite](https://suite.friendli.ai/) to create a Personal Access Token, and set it as the `FRIENDLI_TOKEN` environment.
diff --git a/docs/core_docs/docs/integrations/llms/google_palm.mdx b/docs/core_docs/docs/integrations/llms/google_palm.mdx
deleted file mode 100644
index 6815599c5afb..000000000000
--- a/docs/core_docs/docs/integrations/llms/google_palm.mdx
+++ /dev/null
@@ -1,137 +0,0 @@
----
-sidebar_label: (Legacy) Google PaLM/VertexAI
-sidebar_class_name: hidden
----
-
-import CodeBlock from "@theme/CodeBlock";
-
-# Google PaLM (Legacy)
-
-:::warning
-The Google PaLM API is deprecated and will be removed in 0.3.0. Please use the [Google GenAI](/docs/integrations/chat/google_generativeai) or [VertexAI](/docs/integrations/llms/google_vertex_ai) integrations instead.
-:::
-
-:::note
-This integration does not support `gemini-*` models. Check [Google GenAI](/docs/integrations/chat/google_generativeai) or [VertexAI](/docs/integrations/llms/google_vertex_ai).
-:::
-
-The [Google PaLM API](https://developers.generativeai.google/products/palm) can be integrated by first
-installing the required packages:
-
-import IntegrationInstallTooltip from "@mdx_components/integration_install_tooltip.mdx";
-
-<IntegrationInstallTooltip></IntegrationInstallTooltip>
-
-```bash npm2yarn
-npm install google-auth-library @google-ai/generativelanguage @langchain/community
-```
-
-Create an **API key** from [Google MakerSuite](https://makersuite.google.com/app/apikey). You can then set
-the key as `GOOGLE_PALM_API_KEY` environment variable or pass it as `apiKey` parameter while instantiating
-the model.
-
-import GooglePaLMExample from "@examples/models/llm/googlepalm.ts";
-
-<CodeBlock language="typescript">{GooglePaLMExample}</CodeBlock>
-
-# GooglePaLM
-
-Langchain.js supports two different authentication methods based on whether
-you're running in a Node.js environment or a web environment.
-
-## Setup
-
-### Node.js
-
-To call Vertex AI models in Node, you'll need to install [Google's official auth client](https://www.npmjs.com/package/google-auth-library) as a peer dependency.
-
-You should make sure the Vertex AI API is
-enabled for the relevant project and that you've authenticated to
-Google Cloud using one of these methods:
-
-- You are logged into an account (using `gcloud auth application-default login`)
-  permitted to that project.
-- You are running on a machine using a service account that is permitted
-  to the project.
-- You have downloaded the credentials for a service account that is permitted
-  to the project and set the `GOOGLE_APPLICATION_CREDENTIALS` environment
-  variable to the path of this file.
-
-```bash npm2yarn
-npm install google-auth-library
-```
-
-### Web
-
-To call Vertex AI models in web environments (like Edge functions), you'll need to install
-the [`web-auth-library`](https://github.com/kriasoft/web-auth-library) pacakge as a peer dependency:
-
-```bash npm2yarn
-npm install web-auth-library
-```
-
-Then, you'll need to add your service account credentials directly as a `GOOGLE_VERTEX_AI_WEB_CREDENTIALS` environment variable:
-
-```
-GOOGLE_VERTEX_AI_WEB_CREDENTIALS={"type":"service_account","project_id":"YOUR_PROJECT-12345",...}
-```
-
-You can also pass your credentials directly in code like this:
-
-<IntegrationInstallTooltip></IntegrationInstallTooltip>
-
-```bash npm2yarn
-npm install @langchain/community
-```
-
-```typescript
-import { GoogleVertexAI } from "@langchain/community/llms/googlevertexai";
-
-const model = new GoogleVertexAI({
-  authOptions: {
-    credentials: {"type":"service_account","project_id":"YOUR_PROJECT-12345",...},
-  },
-});
-```
-
-## Usage
-
-Several models are available and can be specified by the `model` attribute
-in the constructor. These include:
-
-- text-bison (default)
-- text-bison-32k
-- code-gecko
-- code-bison
-
-import GoogleVertexAIExample from "@examples/llms/googlevertexai_legacy.ts";
-
-<CodeBlock language="typescript">{GoogleVertexAIExample}</CodeBlock>
-
-Google also has separate models for their "Codey" code generation models.
-
-The "code-gecko" model is useful for code completion:
-
-import GoogleVertexAICodeGeckoExample from "@examples/llms/googlevertexai-code-gecko_legacy.ts";
-
-<CodeBlock language="typescript">{GoogleVertexAICodeGeckoExample}</CodeBlock>
-
-While the "code-bison" model is better at larger code generation based on
-a text prompt:
-
-import GoogleVertexAICodeBisonExample from "@examples/llms/googlevertexai-code-bison_legacy.ts";
-
-<CodeBlock language="typescript">{GoogleVertexAICodeBisonExample}</CodeBlock>
-
-### Streaming
-
-Streaming in multiple chunks is supported for faster responses:
-
-import GoogleVertexAIStreaming from "@examples/llms/googlevertexai-streaming_legacy.ts";
-
-<CodeBlock language="typescript">{GoogleVertexAIStreaming}</CodeBlock>
-
-## Related
-
-- LLM [conceptual guide](/docs/concepts/#llms)
-- LLM [how-to guides](/docs/how_to/#llms)
diff --git a/docs/core_docs/docs/integrations/llms/google_vertex_ai.ipynb b/docs/core_docs/docs/integrations/llms/google_vertex_ai.ipynb
index 00c09cd63b2a..4bdfa603513f 100644
--- a/docs/core_docs/docs/integrations/llms/google_vertex_ai.ipynb
+++ b/docs/core_docs/docs/integrations/llms/google_vertex_ai.ipynb
@@ -111,13 +111,13 @@
     "<IntegrationInstallTooltip></IntegrationInstallTooltip>\n",
     "\n",
     "<Npm2Yarn>\n",
-    "  @langchain/google-vertexai\n",
+    "  @langchain/google-vertexai @langchain/core\n",
     "</Npm2Yarn>\n",
     "\n",
     "or for web environments:\n",
     "\n",
     "<Npm2Yarn>\n",
-    "  @langchain/google-vertexai-web\n",
+    "  @langchain/google-vertexai-web @langchain/core\n",
     "</Npm2Yarn>\n",
     "\n",
     "```"
diff --git a/docs/core_docs/docs/integrations/llms/gradient_ai.mdx b/docs/core_docs/docs/integrations/llms/gradient_ai.mdx
index a3feb9007a96..1de895af0342 100644
--- a/docs/core_docs/docs/integrations/llms/gradient_ai.mdx
+++ b/docs/core_docs/docs/integrations/llms/gradient_ai.mdx
@@ -36,7 +36,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @langchain/community
+npm install @langchain/community @langchain/core
 ```
 
 import CodeBlock from "@theme/CodeBlock";
diff --git a/docs/core_docs/docs/integrations/llms/huggingface_inference.mdx b/docs/core_docs/docs/integrations/llms/huggingface_inference.mdx
index 1c9e322ee117..ec2be6743dc6 100644
--- a/docs/core_docs/docs/integrations/llms/huggingface_inference.mdx
+++ b/docs/core_docs/docs/integrations/llms/huggingface_inference.mdx
@@ -3,7 +3,7 @@
 Here's an example of calling a HugggingFaceInference model as an LLM:
 
 ```bash npm2yarn
-npm install @huggingface/inference@2
+npm install @langchain/community @langchain/core @huggingface/inference@2
 ```
 
 import UnifiedModelParamsTooltip from "@mdx_components/unified_model_params_tooltip.mdx";
diff --git a/docs/core_docs/docs/integrations/llms/layerup_security.mdx b/docs/core_docs/docs/integrations/llms/layerup_security.mdx
index 10a5172d0700..0c96057c21c7 100644
--- a/docs/core_docs/docs/integrations/llms/layerup_security.mdx
+++ b/docs/core_docs/docs/integrations/llms/layerup_security.mdx
@@ -21,7 +21,7 @@ npm install @layerup/layerup-security
 And install LangChain Community:
 
 ```bash npm2yarn
-npm install @langchain/community
+npm install @langchain/community @langchain/core
 ```
 
 And now you're ready to start protecting your LLM calls with Layerup Security!
diff --git a/docs/core_docs/docs/integrations/llms/llama_cpp.mdx b/docs/core_docs/docs/integrations/llms/llama_cpp.mdx
index cc36f3284d83..98371877d8a4 100644
--- a/docs/core_docs/docs/integrations/llms/llama_cpp.mdx
+++ b/docs/core_docs/docs/integrations/llms/llama_cpp.mdx
@@ -23,7 +23,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @langchain/community
+npm install @langchain/community @langchain/core
 ```
 
 You will also need a local Llama 2 model (or a model supported by [node-llama-cpp](https://github.com/withcatai/node-llama-cpp)). You will need to pass the path to this model to the LlamaCpp module as a part of the parameters (see example).
diff --git a/docs/core_docs/docs/integrations/llms/mistral.ipynb b/docs/core_docs/docs/integrations/llms/mistral.ipynb
index 11b73248a4f8..587bd1ea784f 100644
--- a/docs/core_docs/docs/integrations/llms/mistral.ipynb
+++ b/docs/core_docs/docs/integrations/llms/mistral.ipynb
@@ -72,7 +72,7 @@
     "<IntegrationInstallTooltip></IntegrationInstallTooltip>\n",
     "\n",
     "<Npm2Yarn>\n",
-    "  @langchain/mistralai\n",
+    "  @langchain/mistralai @langchain/core\n",
     "</Npm2Yarn>\n",
     "\n",
     "```"
diff --git a/docs/core_docs/docs/integrations/llms/ollama.ipynb b/docs/core_docs/docs/integrations/llms/ollama.ipynb
index 2ae7d031447d..4b73b88943e7 100644
--- a/docs/core_docs/docs/integrations/llms/ollama.ipynb
+++ b/docs/core_docs/docs/integrations/llms/ollama.ipynb
@@ -71,7 +71,7 @@
     "<IntegrationInstallTooltip></IntegrationInstallTooltip>\n",
     "\n",
     "<Npm2Yarn>\n",
-    "  @langchain/ollama\n",
+    "  @langchain/ollama @langchain/core\n",
     "</Npm2Yarn>\n",
     "\n",
     "```"
diff --git a/docs/core_docs/docs/integrations/llms/openai.ipynb b/docs/core_docs/docs/integrations/llms/openai.ipynb
index 07fc432bfdb5..81105d7c5eb3 100644
--- a/docs/core_docs/docs/integrations/llms/openai.ipynb
+++ b/docs/core_docs/docs/integrations/llms/openai.ipynb
@@ -68,7 +68,7 @@
     "<IntegrationInstallTooltip></IntegrationInstallTooltip>\n",
     "\n",
     "<Npm2Yarn>\n",
-    "  @langchain/openai\n",
+    "  @langchain/openai @langchain/core\n",
     "</Npm2Yarn>\n",
     "\n",
     "```"
diff --git a/docs/core_docs/docs/integrations/llms/raycast.mdx b/docs/core_docs/docs/integrations/llms/raycast.mdx
index 77f9b017249d..20df4bdfdee6 100644
--- a/docs/core_docs/docs/integrations/llms/raycast.mdx
+++ b/docs/core_docs/docs/integrations/llms/raycast.mdx
@@ -13,7 +13,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @langchain/community
+npm install @langchain/community @langchain/core
 ```
 
 import CodeBlock from "@theme/CodeBlock";
diff --git a/docs/core_docs/docs/integrations/llms/replicate.mdx b/docs/core_docs/docs/integrations/llms/replicate.mdx
index bdf7f4e72ed1..1b7ca5f9b70d 100644
--- a/docs/core_docs/docs/integrations/llms/replicate.mdx
+++ b/docs/core_docs/docs/integrations/llms/replicate.mdx
@@ -9,7 +9,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install replicate @langchain/community
+npm install replicate @langchain/community @langchain/core
 ```
 
 import ReplicateLlama2 from "@examples/models/llm/replicate_llama2.ts";
diff --git a/docs/core_docs/docs/integrations/llms/together.ipynb b/docs/core_docs/docs/integrations/llms/together.ipynb
index 44a9c4e3d61b..d028a6404652 100644
--- a/docs/core_docs/docs/integrations/llms/together.ipynb
+++ b/docs/core_docs/docs/integrations/llms/together.ipynb
@@ -34,7 +34,7 @@
     "## Overview\n",
     "### Integration details\n",
     "\n",
-    "| Class | Package | Local | Serializable | [PY support](https://python.langchain.com/v0.2/docs/integrations/llms/together/) | Package downloads | Package latest |\n",
+    "| Class | Package | Local | Serializable | [PY support](https://python.langchain.com/docs/integrations/llms/together/) | Package downloads | Package latest |\n",
     "| :--- | :--- | :---: | :---: |  :---: | :---: | :---: |\n",
     "| [`TogetherAI`](https://api.js.langchain.com/classes/langchain_community_llms_togetherai.TogetherAI.html) | [`@langchain/community`](https://npmjs.com/@langchain/community) | ❌ | ✅ | ✅ | ![NPM - Downloads](https://img.shields.io/npm/dm/@langchain/community?style=flat-square&label=%20&) | ![NPM - Version](https://img.shields.io/npm/v/@langchain/community?style=flat-square&label=%20&) |\n",
     "\n",
@@ -68,7 +68,7 @@
     "<IntegrationInstallTooltip></IntegrationInstallTooltip>\n",
     "\n",
     "<Npm2Yarn>\n",
-    "  @langchain/community\n",
+    "  @langchain/community @langchain/core\n",
     "</Npm2Yarn>\n",
     "\n",
     "```"
diff --git a/docs/core_docs/docs/integrations/llms/watsonx_ai.mdx b/docs/core_docs/docs/integrations/llms/watsonx_ai.mdx
index 67ca727528b0..da71e6ea09d7 100644
--- a/docs/core_docs/docs/integrations/llms/watsonx_ai.mdx
+++ b/docs/core_docs/docs/integrations/llms/watsonx_ai.mdx
@@ -26,7 +26,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @langchain/community
+npm install @langchain/community @langchain/core
 ```
 
 import CodeBlock from "@theme/CodeBlock";
diff --git a/docs/core_docs/docs/integrations/llms/writer.mdx b/docs/core_docs/docs/integrations/llms/writer.mdx
index 4371dc66aa4c..f7999c947f90 100644
--- a/docs/core_docs/docs/integrations/llms/writer.mdx
+++ b/docs/core_docs/docs/integrations/llms/writer.mdx
@@ -17,7 +17,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @langchain/community
+npm install @langchain/community @langchain/core
 ```
 
 ## Usage
diff --git a/docs/core_docs/docs/integrations/llms/yandex.mdx b/docs/core_docs/docs/integrations/llms/yandex.mdx
index 55f7009f9084..4ef8cca2d80f 100644
--- a/docs/core_docs/docs/integrations/llms/yandex.mdx
+++ b/docs/core_docs/docs/integrations/llms/yandex.mdx
@@ -20,7 +20,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @langchain/yandex
+npm install @langchain/yandex @langchain/core
 ```
 
 import CodeBlock from "@theme/CodeBlock";
diff --git a/docs/core_docs/docs/integrations/memory/astradb.mdx b/docs/core_docs/docs/integrations/memory/astradb.mdx
index 24cdfcf327ff..8586c8b43605 100644
--- a/docs/core_docs/docs/integrations/memory/astradb.mdx
+++ b/docs/core_docs/docs/integrations/memory/astradb.mdx
@@ -21,7 +21,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @langchain/openai @langchain/community
+npm install @langchain/openai @langchain/community @langchain/core
 ```
 
 ## Configuration and Initalization
diff --git a/docs/core_docs/docs/integrations/memory/cassandra.mdx b/docs/core_docs/docs/integrations/memory/cassandra.mdx
index 7e8149993779..3335df805ab4 100644
--- a/docs/core_docs/docs/integrations/memory/cassandra.mdx
+++ b/docs/core_docs/docs/integrations/memory/cassandra.mdx
@@ -17,7 +17,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install cassandra-driver @langchain/openai @langchain/community
+npm install cassandra-driver @langchain/openai @langchain/community @langchain/core
 ```
 
 Depending on your database providers, the specifics of how to connect to the database will vary. We will create a document `configConnection` which will be used as part of the vector store configuration.
diff --git a/docs/core_docs/docs/integrations/memory/cloudflare_d1.mdx b/docs/core_docs/docs/integrations/memory/cloudflare_d1.mdx
index 22aebc8d40ce..c2d4aa1d579f 100644
--- a/docs/core_docs/docs/integrations/memory/cloudflare_d1.mdx
+++ b/docs/core_docs/docs/integrations/memory/cloudflare_d1.mdx
@@ -22,7 +22,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @langchain/cloudflare @langchain/anthropic
+npm install @langchain/cloudflare @langchain/anthropic @langchain/core
 ```
 
 Set up a D1 instance for your worker by following [the official documentation](https://developers.cloudflare.com/d1/). Your project's `wrangler.toml` file should
diff --git a/docs/core_docs/docs/integrations/memory/convex.mdx b/docs/core_docs/docs/integrations/memory/convex.mdx
index e0d79d395c7d..e9a7d8b32b34 100644
--- a/docs/core_docs/docs/integrations/memory/convex.mdx
+++ b/docs/core_docs/docs/integrations/memory/convex.mdx
@@ -59,7 +59,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @langchain/openai @langchain/community
+npm install @langchain/openai @langchain/community @langchain/core
 ```
 
 import Example from "@examples/memory/convex/convex.ts";
diff --git a/docs/core_docs/docs/integrations/memory/dynamodb.mdx b/docs/core_docs/docs/integrations/memory/dynamodb.mdx
index 9f1f41d3f9c3..4ad4d87c11b3 100644
--- a/docs/core_docs/docs/integrations/memory/dynamodb.mdx
+++ b/docs/core_docs/docs/integrations/memory/dynamodb.mdx
@@ -21,7 +21,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @langchain/openai @langchain/community
+npm install @langchain/openai @langchain/community @langchain/core
 ```
 
 Next, sign into your AWS account and create a DynamoDB table. Name the table `langchain`, and name your partition key `id`. Make sure your partition key is a string. You can leave sort key and the other settings alone.
diff --git a/docs/core_docs/docs/integrations/memory/firestore.mdx b/docs/core_docs/docs/integrations/memory/firestore.mdx
index e651cc3b7d87..87d02253f73d 100644
--- a/docs/core_docs/docs/integrations/memory/firestore.mdx
+++ b/docs/core_docs/docs/integrations/memory/firestore.mdx
@@ -21,7 +21,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @langchain/openai @langchain/community
+npm install @langchain/openai @langchain/community @langchain/core
 ```
 
 Visit the `Project Settings` page from your Firebase project and select the `Service accounts` tab.
diff --git a/docs/core_docs/docs/integrations/memory/ipfs_datastore.mdx b/docs/core_docs/docs/integrations/memory/ipfs_datastore.mdx
index ba8146b04d5d..901a3580e3c2 100644
--- a/docs/core_docs/docs/integrations/memory/ipfs_datastore.mdx
+++ b/docs/core_docs/docs/integrations/memory/ipfs_datastore.mdx
@@ -17,7 +17,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install cborg interface-datastore it-all @langchain/community
+npm install cborg interface-datastore it-all @langchain/community @langchain/core
 ```
 
 Now you can install and use an IPFS Datastore of your choice. Here are some options:
diff --git a/docs/core_docs/docs/integrations/memory/momento.mdx b/docs/core_docs/docs/integrations/memory/momento.mdx
index 6e27ab3c5746..1c477245115d 100644
--- a/docs/core_docs/docs/integrations/memory/momento.mdx
+++ b/docs/core_docs/docs/integrations/memory/momento.mdx
@@ -30,7 +30,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @langchain/openai @langchain/community
+npm install @langchain/openai @langchain/community @langchain/core
 ```
 
 You will also need an API key from [Momento](https://gomomento.com/). You can sign up for a free account [here](https://console.gomomento.com/).
diff --git a/docs/core_docs/docs/integrations/memory/mongodb.mdx b/docs/core_docs/docs/integrations/memory/mongodb.mdx
index 750c170fe27d..5246ebbef6ee 100644
--- a/docs/core_docs/docs/integrations/memory/mongodb.mdx
+++ b/docs/core_docs/docs/integrations/memory/mongodb.mdx
@@ -34,7 +34,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @langchain/openai @langchain/community
+npm install @langchain/openai @langchain/community @langchain/core
 ```
 
 You will also need a MongoDB instance to connect to.
diff --git a/docs/core_docs/docs/integrations/memory/motorhead_memory.mdx b/docs/core_docs/docs/integrations/memory/motorhead_memory.mdx
index 82a32aaec2e3..10f9e37d5ea9 100644
--- a/docs/core_docs/docs/integrations/memory/motorhead_memory.mdx
+++ b/docs/core_docs/docs/integrations/memory/motorhead_memory.mdx
@@ -21,7 +21,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @langchain/openai
+npm install @langchain/openai @langchain/core
 ```
 
 <CodeBlock language="typescript">{Example}</CodeBlock>
diff --git a/docs/core_docs/docs/integrations/memory/planetscale.mdx b/docs/core_docs/docs/integrations/memory/planetscale.mdx
index 3897d7e92930..6ce0e26597f4 100644
--- a/docs/core_docs/docs/integrations/memory/planetscale.mdx
+++ b/docs/core_docs/docs/integrations/memory/planetscale.mdx
@@ -19,7 +19,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @langchain/openai @planetscale/database @langchain/community
+npm install @langchain/openai @planetscale/database @langchain/community @langchain/core
 ```
 
 You will also need an PlanetScale Account and a database to connect to. See instructions on [PlanetScale Docs](https://planetscale.com/docs) on how to create a HTTP client.
diff --git a/docs/core_docs/docs/integrations/memory/postgres.mdx b/docs/core_docs/docs/integrations/memory/postgres.mdx
index 757a94b078d9..f7183971537a 100644
--- a/docs/core_docs/docs/integrations/memory/postgres.mdx
+++ b/docs/core_docs/docs/integrations/memory/postgres.mdx
@@ -18,7 +18,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @langchain/openai @langchain/community pg
+npm install @langchain/openai @langchain/community @langchain/core pg
 ```
 
 ## Usage
diff --git a/docs/core_docs/docs/integrations/memory/redis.mdx b/docs/core_docs/docs/integrations/memory/redis.mdx
index fe3d8f9157e9..3d7d2c8a3ff5 100644
--- a/docs/core_docs/docs/integrations/memory/redis.mdx
+++ b/docs/core_docs/docs/integrations/memory/redis.mdx
@@ -17,7 +17,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @langchain/openai redis @langchain/community
+npm install @langchain/openai @langchain/community @langchain/core redis
 ```
 
 You will also need a Redis instance to connect to. See instructions on [the official Redis website](https://redis.io/docs/getting-started/) for running the server locally.
diff --git a/docs/core_docs/docs/integrations/memory/upstash_redis.mdx b/docs/core_docs/docs/integrations/memory/upstash_redis.mdx
index 97f1ab493b79..24a69123afe4 100644
--- a/docs/core_docs/docs/integrations/memory/upstash_redis.mdx
+++ b/docs/core_docs/docs/integrations/memory/upstash_redis.mdx
@@ -20,7 +20,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @langchain/openai @upstash/redis @langchain/community
+npm install @langchain/openai @langchain/community @langchain/core @upstash/redis
 ```
 
 You will also need an Upstash Account and a Redis database to connect to. See instructions on [Upstash Docs](https://docs.upstash.com/redis) on how to create a HTTP client.
diff --git a/docs/core_docs/docs/integrations/memory/xata.mdx b/docs/core_docs/docs/integrations/memory/xata.mdx
index 80cfd93ff8e8..0c78b5203d7b 100644
--- a/docs/core_docs/docs/integrations/memory/xata.mdx
+++ b/docs/core_docs/docs/integrations/memory/xata.mdx
@@ -44,7 +44,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @langchain/openai @langchain/community
+npm install @langchain/openai @langchain/community @langchain/core
 ```
 
 import Example from "@examples/memory/xata.ts";
diff --git a/docs/core_docs/docs/integrations/memory/zep_memory.mdx b/docs/core_docs/docs/integrations/memory/zep_memory.mdx
index d4801bdb3dba..f3932d732c5b 100644
--- a/docs/core_docs/docs/integrations/memory/zep_memory.mdx
+++ b/docs/core_docs/docs/integrations/memory/zep_memory.mdx
@@ -38,7 +38,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @langchain/openai @langchain/community
+npm install @langchain/openai @langchain/community @langchain/core
 ```
 
 ## Usage
diff --git a/docs/core_docs/docs/integrations/memory/zep_memory_cloud.mdx b/docs/core_docs/docs/integrations/memory/zep_memory_cloud.mdx
index ce2cbe27c3a8..08255921d964 100644
--- a/docs/core_docs/docs/integrations/memory/zep_memory_cloud.mdx
+++ b/docs/core_docs/docs/integrations/memory/zep_memory_cloud.mdx
@@ -46,7 +46,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @getzep/zep-cloud @langchain/openai @langchain/community
+npm install @getzep/zep-cloud @langchain/openai @langchain/community @langchain/core
 ```
 
 ### ZepCloudChatMessageHistory + RunnableWithMessageHistory usage
diff --git a/docs/core_docs/docs/integrations/platforms/anthropic.mdx b/docs/core_docs/docs/integrations/platforms/anthropic.mdx
index 866dc10c16a9..df26e60e2688 100644
--- a/docs/core_docs/docs/integrations/platforms/anthropic.mdx
+++ b/docs/core_docs/docs/integrations/platforms/anthropic.mdx
@@ -23,7 +23,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @langchain/anthropic
+npm install @langchain/anthropic @langchain/core
 ```
 
 ```typescript
diff --git a/docs/core_docs/docs/integrations/platforms/google.mdx b/docs/core_docs/docs/integrations/platforms/google.mdx
index 21a2f37eaebc..00ff6503538d 100644
--- a/docs/core_docs/docs/integrations/platforms/google.mdx
+++ b/docs/core_docs/docs/integrations/platforms/google.mdx
@@ -22,7 +22,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @langchain/google-genai
+npm install @langchain/google-genai @langchain/core
 ```
 
 Configure your API key.
@@ -84,7 +84,7 @@ Click [here](/docs/integrations/chat/google_generativeai) for the `@langchain/go
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @langchain/google-vertexai
+npm install @langchain/google-vertexai @langchain/core
 ```
 
 Then, you'll need to add your service account credentials, either directly as a `GOOGLE_VERTEX_AI_WEB_CREDENTIALS` environment variable:
@@ -153,12 +153,6 @@ Click [here](/docs/integrations/chat/google_vertex_ai) for the `@langchain/googl
 
 The value of `image_url` must be a base64 encoded image (e.g., `data:image/png;base64,abcd124`).
 
-### Vertex AI (Legacy)
-
-:::tip
-See the legacy Google PaLM and VertexAI documentation [here](/docs/integrations/chat/google_palm) for chat, and [here](/docs/integrations/llms/google_palm) for LLMs.
-:::
-
 ## Vector Store
 
 ### Vertex AI Vector Search
diff --git a/docs/core_docs/docs/integrations/platforms/microsoft.mdx b/docs/core_docs/docs/integrations/platforms/microsoft.mdx
index b2639739973b..b048323e04a4 100644
--- a/docs/core_docs/docs/integrations/platforms/microsoft.mdx
+++ b/docs/core_docs/docs/integrations/platforms/microsoft.mdx
@@ -57,7 +57,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @langchain/openai
+npm install @langchain/openai @langchain/core
 ```
 
 See a [usage example](/docs/integrations/llms/azure).
@@ -91,7 +91,7 @@ import AzureOpenAIEmbeddings from "@examples/models/embeddings/azure_openai.ts";
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install -S @langchain/community @azure/search-documents
+npm install -S @langchain/community @langchain/core @azure/search-documents
 ```
 
 See a [usage example](/docs/integrations/vectorstores/azure_aisearch).
@@ -107,7 +107,7 @@ import { AzureAISearchVectorStore } from "@langchain/community/vectorstores/azur
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @langchain/azure-cosmosdb
+npm install @langchain/azure-cosmosdb @langchain/core
 ```
 
 See a [usage example](/docs/integrations/vectorstores/azure_cosmosdb_nosql).
@@ -123,7 +123,7 @@ import { AzureCosmosDBNoSQLVectorStore } from "@langchain/azure-cosmosdb";
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @langchain/azure-cosmosdb
+npm install @langchain/azure-cosmosdb @langchain/core
 ```
 
 See a [usage example](/docs/integrations/vectorstores/azure_cosmosdb_mongodb).
@@ -154,7 +154,7 @@ import { AzureCosmosDBMongoDBVectorStore } from "@langchain/azure-cosmosdb";
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @langchain/community @azure/storage-blob
+npm install @langchain/community @langchain/core @azure/storage-blob
 ```
 
 See a [usage example for the Azure Blob Storage](/docs/integrations/document_loaders/web_loaders/azure_blob_storage_container).
@@ -178,7 +178,7 @@ import { AzureBlobStorageFileLoader } from "@langchain/community/document_loader
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @langchain/azure-dynamic-sessions
+npm install @langchain/azure-dynamic-sessions @langchain/core
 ```
 
 See a [usage example](/docs/integrations/tools/azure_dynamic_sessions).
diff --git a/docs/core_docs/docs/integrations/platforms/openai.mdx b/docs/core_docs/docs/integrations/platforms/openai.mdx
index 152e7f04b753..f64ebd454302 100644
--- a/docs/core_docs/docs/integrations/platforms/openai.mdx
+++ b/docs/core_docs/docs/integrations/platforms/openai.mdx
@@ -37,7 +37,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @langchain/openai
+npm install @langchain/openai @langchain/core
 ```
 
 ```typescript
diff --git a/docs/core_docs/docs/integrations/retrievers/bedrock-knowledge-bases.ipynb b/docs/core_docs/docs/integrations/retrievers/bedrock-knowledge-bases.ipynb
index a7721b6b1b58..d0d0c2af9815 100644
--- a/docs/core_docs/docs/integrations/retrievers/bedrock-knowledge-bases.ipynb
+++ b/docs/core_docs/docs/integrations/retrievers/bedrock-knowledge-bases.ipynb
@@ -83,7 +83,7 @@
     "<IntegrationInstallTooltip></IntegrationInstallTooltip>\n",
     "\n",
     "<Npm2Yarn>\n",
-    "  @langchain/aws\n",
+    "  @langchain/aws @langchain/core\n",
     "</Npm2Yarn>\n",
     "```"
    ]
@@ -199,7 +199,7 @@
     "  return docs.map((doc) => doc.pageContent).join(\"\\n\\n\");\n",
     "}\n",
     "\n",
-    "// See https://js.langchain.com/v0.2/docs/tutorials/rag\n",
+    "// See https://js.langchain.com/docs/tutorials/rag\n",
     "const ragChain = RunnableSequence.from([\n",
     "  {\n",
     "    context: retriever.pipe(formatDocs),\n",
diff --git a/docs/core_docs/docs/integrations/retrievers/chaindesk-retriever.mdx b/docs/core_docs/docs/integrations/retrievers/chaindesk-retriever.mdx
index dc0acbbe613a..f6fe2743d402 100644
--- a/docs/core_docs/docs/integrations/retrievers/chaindesk-retriever.mdx
+++ b/docs/core_docs/docs/integrations/retrievers/chaindesk-retriever.mdx
@@ -9,7 +9,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @langchain/community
+npm install @langchain/community @langchain/core
 ```
 
 import CodeBlock from "@theme/CodeBlock";
diff --git a/docs/core_docs/docs/integrations/retrievers/dria.mdx b/docs/core_docs/docs/integrations/retrievers/dria.mdx
index a4f325dfb3f2..a060403739d2 100644
--- a/docs/core_docs/docs/integrations/retrievers/dria.mdx
+++ b/docs/core_docs/docs/integrations/retrievers/dria.mdx
@@ -30,7 +30,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install dria @langchain/community
+npm install dria @langchain/community @langchain/core
 ```
 
 import CodeBlock from "@theme/CodeBlock";
diff --git a/docs/core_docs/docs/integrations/retrievers/exa.ipynb b/docs/core_docs/docs/integrations/retrievers/exa.ipynb
index b73706c05d67..d184f0aafd4b 100644
--- a/docs/core_docs/docs/integrations/retrievers/exa.ipynb
+++ b/docs/core_docs/docs/integrations/retrievers/exa.ipynb
@@ -61,7 +61,7 @@
     "<IntegrationInstallTooltip></IntegrationInstallTooltip>\n",
     "\n",
     "<Npm2Yarn>\n",
-    "  @langchain/exa\n",
+    "  @langchain/exa @langchain/core\n",
     "</Npm2Yarn>\n",
     "```"
    ]
@@ -291,7 +291,7 @@
     "  return docs.map((doc) => doc.pageContent).join(\"\\n\\n\");\n",
     "}\n",
     "\n",
-    "// See https://js.langchain.com/v0.2/docs/tutorials/rag\n",
+    "// See https://js.langchain.com/docs/tutorials/rag\n",
     "const ragChain = RunnableSequence.from([\n",
     "  {\n",
     "    context: retriever.pipe(formatDocs),\n",
diff --git a/docs/core_docs/docs/integrations/retrievers/hyde.mdx b/docs/core_docs/docs/integrations/retrievers/hyde.mdx
index 20b7395b92af..6055bd5578e8 100644
--- a/docs/core_docs/docs/integrations/retrievers/hyde.mdx
+++ b/docs/core_docs/docs/integrations/retrievers/hyde.mdx
@@ -20,7 +20,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @langchain/openai
+npm install @langchain/openai @langchain/core
 ```
 
 <CodeBlock language="typescript">{Example}</CodeBlock>
diff --git a/docs/core_docs/docs/integrations/retrievers/kendra-retriever.ipynb b/docs/core_docs/docs/integrations/retrievers/kendra-retriever.ipynb
index 30dc60171f32..78496bb51ef7 100644
--- a/docs/core_docs/docs/integrations/retrievers/kendra-retriever.ipynb
+++ b/docs/core_docs/docs/integrations/retrievers/kendra-retriever.ipynb
@@ -60,7 +60,7 @@
     "<IntegrationInstallTooltip></IntegrationInstallTooltip>\n",
     "\n",
     "<Npm2Yarn>\n",
-    "  @langchain/aws\n",
+    "  @langchain/aws @langchain/core\n",
     "</Npm2Yarn>\n",
     "```"
    ]
@@ -176,7 +176,7 @@
     "  return docs.map((doc) => doc.pageContent).join(\"\\n\\n\");\n",
     "}\n",
     "\n",
-    "// See https://js.langchain.com/v0.2/docs/tutorials/rag\n",
+    "// See https://js.langchain.com/docs/tutorials/rag\n",
     "const ragChain = RunnableSequence.from([\n",
     "  {\n",
     "    context: retriever.pipe(formatDocs),\n",
diff --git a/docs/core_docs/docs/integrations/retrievers/metal-retriever.mdx b/docs/core_docs/docs/integrations/retrievers/metal-retriever.mdx
index 19f6ce018075..7b9e05721d70 100644
--- a/docs/core_docs/docs/integrations/retrievers/metal-retriever.mdx
+++ b/docs/core_docs/docs/integrations/retrievers/metal-retriever.mdx
@@ -13,7 +13,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm i @getmetal/metal-sdk @langchain/community
+npm i @getmetal/metal-sdk @langchain/community @langchain/core
 ```
 
 ## Usage
diff --git a/docs/core_docs/docs/integrations/retrievers/self_query/chroma.ipynb b/docs/core_docs/docs/integrations/retrievers/self_query/chroma.ipynb
index 5ad60e41aac8..ef13c098d385 100644
--- a/docs/core_docs/docs/integrations/retrievers/self_query/chroma.ipynb
+++ b/docs/core_docs/docs/integrations/retrievers/self_query/chroma.ipynb
@@ -31,7 +31,7 @@
     "\n",
     "### Integration details\n",
     "\n",
-    "| Backing vector store | Self-host | Cloud offering | Package | [Py support](https://python.langchain.com/v0.2/docs/integrations/retrievers/self_query/chroma_self_query/) |\n",
+    "| Backing vector store | Self-host | Cloud offering | Package | [Py support](https://python.langchain.com/docs/integrations/retrievers/self_query/chroma_self_query/) |\n",
     "| :--- | :--- | :---: | :---: | :---: |\n",
     "[`Chroma`](https://api.js.langchain.com/classes/langchain_community_vectorstores_chroma.Chroma.html) | ✅ | ✅ | [`@langchain/community`](https://www.npmjs.com/package/@langchain/community) | ✅ |\n",
     "\n",
@@ -59,7 +59,7 @@
     "<IntegrationInstallTooltip></IntegrationInstallTooltip>\n",
     "\n",
     "<Npm2Yarn>\n",
-    "  @langchain/community langchain @langchain/openai\n",
+    "  @langchain/community langchain @langchain/openai @langchain/core\n",
     "</Npm2Yarn>\n",
     "```"
    ]
@@ -310,7 +310,7 @@
     "  return docs.map((doc) => JSON.stringify(doc)).join(\"\\n\\n\");\n",
     "}\n",
     "\n",
-    "// See https://js.langchain.com/v0.2/docs/tutorials/rag\n",
+    "// See https://js.langchain.com/docs/tutorials/rag\n",
     "const ragChain = RunnableSequence.from([\n",
     "  {\n",
     "    context: selfQueryRetriever.pipe(formatDocs),\n",
diff --git a/docs/core_docs/docs/integrations/retrievers/self_query/hnswlib.ipynb b/docs/core_docs/docs/integrations/retrievers/self_query/hnswlib.ipynb
index f1b683c0187b..e635e1f15ea0 100644
--- a/docs/core_docs/docs/integrations/retrievers/self_query/hnswlib.ipynb
+++ b/docs/core_docs/docs/integrations/retrievers/self_query/hnswlib.ipynb
@@ -59,7 +59,7 @@
     "<IntegrationInstallTooltip></IntegrationInstallTooltip>\n",
     "\n",
     "<Npm2Yarn>\n",
-    "  @langchain/community langchain @langchain/openai\n",
+    "  @langchain/community langchain @langchain/openai @langchain/core\n",
     "</Npm2Yarn>\n",
     "```"
    ]
@@ -308,7 +308,7 @@
     "  return docs.map((doc) => JSON.stringify(doc)).join(\"\\n\\n\");\n",
     "}\n",
     "\n",
-    "// See https://js.langchain.com/v0.2/docs/tutorials/rag\n",
+    "// See https://js.langchain.com/docs/tutorials/rag\n",
     "const ragChain = RunnableSequence.from([\n",
     "  {\n",
     "    context: selfQueryRetriever.pipe(formatDocs),\n",
diff --git a/docs/core_docs/docs/integrations/retrievers/self_query/memory.ipynb b/docs/core_docs/docs/integrations/retrievers/self_query/memory.ipynb
index cde1d7578d5b..244b699551cf 100644
--- a/docs/core_docs/docs/integrations/retrievers/self_query/memory.ipynb
+++ b/docs/core_docs/docs/integrations/retrievers/self_query/memory.ipynb
@@ -59,7 +59,7 @@
     "<IntegrationInstallTooltip></IntegrationInstallTooltip>\n",
     "\n",
     "<Npm2Yarn>\n",
-    "  @langchain/community langchain @langchain/openai\n",
+    "  @langchain/community langchain @langchain/openai @langchain/core\n",
     "</Npm2Yarn>\n",
     "```"
    ]
@@ -308,7 +308,7 @@
     "  return docs.map((doc) => JSON.stringify(doc)).join(\"\\n\\n\");\n",
     "}\n",
     "\n",
-    "// See https://js.langchain.com/v0.2/docs/tutorials/rag\n",
+    "// See https://js.langchain.com/docs/tutorials/rag\n",
     "const ragChain = RunnableSequence.from([\n",
     "  {\n",
     "    context: selfQueryRetriever.pipe(formatDocs),\n",
diff --git a/docs/core_docs/docs/integrations/retrievers/self_query/pinecone.ipynb b/docs/core_docs/docs/integrations/retrievers/self_query/pinecone.ipynb
index ffb7219eea1f..c5915ffe9249 100644
--- a/docs/core_docs/docs/integrations/retrievers/self_query/pinecone.ipynb
+++ b/docs/core_docs/docs/integrations/retrievers/self_query/pinecone.ipynb
@@ -31,7 +31,7 @@
     "\n",
     "### Integration details\n",
     "\n",
-    "| Backing vector store | Self-host | Cloud offering | Package | [Py support](https://python.langchain.com/v0.2/docs/integrations/retrievers/self_query/pinecone/) |\n",
+    "| Backing vector store | Self-host | Cloud offering | Package | [Py support](https://python.langchain.com/docs/integrations/retrievers/self_query/pinecone/) |\n",
     "| :--- | :--- | :---: | :---: | :---: |\n",
     "[`PineconeStore`](https://api.js.langchain.com/classes/langchain_pinecone.PineconeStore.html) | ❌ | ✅ | [`@langchain/pinecone`](https://www.npmjs.com/package/@langchain/pinecone) | ✅ |\n",
     "\n",
@@ -67,7 +67,7 @@
     "<IntegrationInstallTooltip></IntegrationInstallTooltip>\n",
     "\n",
     "<Npm2Yarn>\n",
-    "  @langchain/pinecone langchain @langchain/openai @pinecone-database/pinecone\n",
+    "  @langchain/pinecone langchain @langchain/openai @langchain/core @pinecone-database/pinecone\n",
     "</Npm2Yarn>\n",
     "```"
    ]
@@ -325,7 +325,7 @@
     "  return docs.map((doc) => JSON.stringify(doc)).join(\"\\n\\n\");\n",
     "}\n",
     "\n",
-    "// See https://js.langchain.com/v0.2/docs/tutorials/rag\n",
+    "// See https://js.langchain.com/docs/tutorials/rag\n",
     "const ragChain = RunnableSequence.from([\n",
     "  {\n",
     "    context: selfQueryRetriever.pipe(formatDocs),\n",
diff --git a/docs/core_docs/docs/integrations/retrievers/self_query/qdrant.ipynb b/docs/core_docs/docs/integrations/retrievers/self_query/qdrant.ipynb
index 3236c436ebdb..1e272120b904 100644
--- a/docs/core_docs/docs/integrations/retrievers/self_query/qdrant.ipynb
+++ b/docs/core_docs/docs/integrations/retrievers/self_query/qdrant.ipynb
@@ -31,7 +31,7 @@
     "\n",
     "### Integration details\n",
     "\n",
-    "| Backing vector store | Self-host | Cloud offering | Package | [Py support](https://python.langchain.com/v0.2/docs/integrations/retrievers/self_query/qdrant_self_query/) |\n",
+    "| Backing vector store | Self-host | Cloud offering | Package | [Py support](https://python.langchain.com/docs/integrations/retrievers/self_query/qdrant_self_query/) |\n",
     "| :--- | :--- | :---: | :---: | :---: |\n",
     "[`QdrantVectorStore`](https://api.js.langchain.com/classes/langchain_qdrant.QdrantVectorStore.html) | ✅ | ✅ | [`@langchain/qdrant`](https://www.npmjs.com/package/@langchain/qdrant) | ✅ |\n",
     "\n",
@@ -63,7 +63,7 @@
     "<IntegrationInstallTooltip></IntegrationInstallTooltip>\n",
     "\n",
     "<Npm2Yarn>\n",
-    "  @langchain/qdrant langchain @langchain/community @langchain/openai\n",
+    "  @langchain/qdrant langchain @langchain/community @langchain/openai @langchain/core\n",
     "</Npm2Yarn>\n",
     "```\n",
     "\n",
@@ -315,7 +315,7 @@
     "  return docs.map((doc) => JSON.stringify(doc)).join(\"\\n\\n\");\n",
     "}\n",
     "\n",
-    "// See https://js.langchain.com/v0.2/docs/tutorials/rag\n",
+    "// See https://js.langchain.com/docs/tutorials/rag\n",
     "const ragChain = RunnableSequence.from([\n",
     "  {\n",
     "    context: selfQueryRetriever.pipe(formatDocs),\n",
diff --git a/docs/core_docs/docs/integrations/retrievers/self_query/supabase.ipynb b/docs/core_docs/docs/integrations/retrievers/self_query/supabase.ipynb
index 8e6fac3cc87b..0aaa61f7f4a4 100644
--- a/docs/core_docs/docs/integrations/retrievers/self_query/supabase.ipynb
+++ b/docs/core_docs/docs/integrations/retrievers/self_query/supabase.ipynb
@@ -31,7 +31,7 @@
     "\n",
     "### Integration details\n",
     "\n",
-    "| Backing vector store | Self-host | Cloud offering | Package | [Py support](https://python.langchain.com/v0.2/docs/integrations/retrievers/self_query/supabase_self_query/) |\n",
+    "| Backing vector store | Self-host | Cloud offering | Package | [Py support](https://python.langchain.com/docs/integrations/retrievers/self_query/supabase_self_query/) |\n",
     "| :--- | :--- | :---: | :---: | :---: |\n",
     "[`SupabaseVectorStore`](https://api.js.langchain.com/classes/langchain_community_vectorstores_supabase.SupabaseVectorStore.html) | ✅ | ✅ | [`@langchain/community`](https://www.npmjs.com/package/@langchain/community) | ✅ |\n",
     "\n",
@@ -64,7 +64,7 @@
     "<IntegrationInstallTooltip></IntegrationInstallTooltip>\n",
     "\n",
     "<Npm2Yarn>\n",
-    "  @langchain/community langchain @langchain/openai @supabase/supabase-js\n",
+    "  @langchain/community langchain @langchain/openai @langchain/core @supabase/supabase-js\n",
     "</Npm2Yarn>\n",
     "```"
    ]
@@ -316,7 +316,7 @@
     "  return docs.map((doc) => JSON.stringify(doc)).join(\"\\n\\n\");\n",
     "}\n",
     "\n",
-    "// See https://js.langchain.com/v0.2/docs/tutorials/rag\n",
+    "// See https://js.langchain.com/docs/tutorials/rag\n",
     "const ragChain = RunnableSequence.from([\n",
     "  {\n",
     "    context: selfQueryRetriever.pipe(formatDocs),\n",
diff --git a/docs/core_docs/docs/integrations/retrievers/self_query/vectara.ipynb b/docs/core_docs/docs/integrations/retrievers/self_query/vectara.ipynb
index 11635651857e..ca1e8202d880 100644
--- a/docs/core_docs/docs/integrations/retrievers/self_query/vectara.ipynb
+++ b/docs/core_docs/docs/integrations/retrievers/self_query/vectara.ipynb
@@ -31,7 +31,7 @@
     "\n",
     "### Integration details\n",
     "\n",
-    "| Backing vector store | Self-host | Cloud offering | Package | [Py support](https://python.langchain.com/v0.2/docs/integrations/retrievers/self_query/vectara_self_query/) |\n",
+    "| Backing vector store | Self-host | Cloud offering | Package | [Py support](https://python.langchain.com/docs/integrations/retrievers/self_query/vectara_self_query/) |\n",
     "| :--- | :--- | :---: | :---: | :---: |\n",
     "[`VectaraStore`](https://api.js.langchain.com/classes/langchain_community_vectorstores_vectara.VectaraStore.html) | ❌ | ✅ | [`@langchain/community`](https://www.npmjs.com/package/@langchain/community) | ✅ |\n",
     "\n",
@@ -63,7 +63,7 @@
     "<IntegrationInstallTooltip></IntegrationInstallTooltip>\n",
     "\n",
     "<Npm2Yarn>\n",
-    "  @langchain/community langchain\n",
+    "  @langchain/community langchain @langchain/core\n",
     "</Npm2Yarn>\n",
     "```"
    ]
@@ -312,7 +312,7 @@
     "  return docs.map((doc) => JSON.stringify(doc)).join(\"\\n\\n\");\n",
     "}\n",
     "\n",
-    "// See https://js.langchain.com/v0.2/docs/tutorials/rag\n",
+    "// See https://js.langchain.com/docs/tutorials/rag\n",
     "const ragChain = RunnableSequence.from([\n",
     "  {\n",
     "    context: selfQueryRetriever.pipe(formatDocs),\n",
diff --git a/docs/core_docs/docs/integrations/retrievers/self_query/weaviate.ipynb b/docs/core_docs/docs/integrations/retrievers/self_query/weaviate.ipynb
index 9ccefb112d09..e380074e3331 100644
--- a/docs/core_docs/docs/integrations/retrievers/self_query/weaviate.ipynb
+++ b/docs/core_docs/docs/integrations/retrievers/self_query/weaviate.ipynb
@@ -31,7 +31,7 @@
     "\n",
     "### Integration details\n",
     "\n",
-    "| Backing vector store | Self-host | Cloud offering | Package | [Py support](https://python.langchain.com/v0.2/docs/integrations/retrievers/self_query/weaviate_self_query/) |\n",
+    "| Backing vector store | Self-host | Cloud offering | Package | [Py support](https://python.langchain.com/docs/integrations/retrievers/self_query/weaviate_self_query/) |\n",
     "| :--- | :--- | :---: | :---: | :---: |\n",
     "[`WeaviateVectorStore`](https://api.js.langchain.com/classes/langchain_weaviate.WeaviateStore.html) | ✅ | ✅ | [`@langchain/weaviate`](https://www.npmjs.com/package/@langchain/weaviate) | ✅ |\n",
     "\n",
@@ -68,7 +68,7 @@
     "<IntegrationInstallTooltip></IntegrationInstallTooltip>\n",
     "\n",
     "<Npm2Yarn>\n",
-    "  @langchain/weaviate langchain @langchain/openai weaviate-ts-client\n",
+    "  @langchain/weaviate langchain @langchain/openai @langchain/core weaviate-ts-client\n",
     "</Npm2Yarn>\n",
     "```"
    ]
@@ -326,7 +326,7 @@
     "  return docs.map((doc) => JSON.stringify(doc)).join(\"\\n\\n\");\n",
     "}\n",
     "\n",
-    "// See https://js.langchain.com/v0.2/docs/tutorials/rag\n",
+    "// See https://js.langchain.com/docs/tutorials/rag\n",
     "const ragChain = RunnableSequence.from([\n",
     "  {\n",
     "    context: selfQueryRetriever.pipe(formatDocs),\n",
diff --git a/docs/core_docs/docs/integrations/retrievers/supabase-hybrid.mdx b/docs/core_docs/docs/integrations/retrievers/supabase-hybrid.mdx
index 7e3a67deb296..b03c9f915ecd 100644
--- a/docs/core_docs/docs/integrations/retrievers/supabase-hybrid.mdx
+++ b/docs/core_docs/docs/integrations/retrievers/supabase-hybrid.mdx
@@ -78,7 +78,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @langchain/openai @langchain/community
+npm install @langchain/openai @langchain/community @langchain/core
 ```
 
 import CodeBlock from "@theme/CodeBlock";
diff --git a/docs/core_docs/docs/integrations/retrievers/tavily.ipynb b/docs/core_docs/docs/integrations/retrievers/tavily.ipynb
index 05a354c3645f..38d2e22c201c 100644
--- a/docs/core_docs/docs/integrations/retrievers/tavily.ipynb
+++ b/docs/core_docs/docs/integrations/retrievers/tavily.ipynb
@@ -55,7 +55,7 @@
     "<IntegrationInstallTooltip></IntegrationInstallTooltip>\n",
     "\n",
     "<Npm2Yarn>\n",
-    "  @langchain/community\n",
+    "  @langchain/community @langchain/core\n",
     "</Npm2Yarn>\n",
     "```"
    ]
@@ -210,7 +210,7 @@
     "  return docs.map((doc) => doc.pageContent).join(\"\\n\\n\");\n",
     "}\n",
     "\n",
-    "// See https://js.langchain.com/v0.2/docs/tutorials/rag\n",
+    "// See https://js.langchain.com/docs/tutorials/rag\n",
     "const ragChain = RunnableSequence.from([\n",
     "  {\n",
     "    context: retriever.pipe(formatDocs),\n",
diff --git a/docs/core_docs/docs/integrations/retrievers/time-weighted-retriever.mdx b/docs/core_docs/docs/integrations/retrievers/time-weighted-retriever.mdx
index 31486403228c..1acf33509f90 100644
--- a/docs/core_docs/docs/integrations/retrievers/time-weighted-retriever.mdx
+++ b/docs/core_docs/docs/integrations/retrievers/time-weighted-retriever.mdx
@@ -25,7 +25,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @langchain/openai
+npm install @langchain/openai @langchain/core
 ```
 
 <CodeBlock language="typescript">{Example}</CodeBlock>
diff --git a/docs/core_docs/docs/integrations/retrievers/zep-cloud-retriever.mdx b/docs/core_docs/docs/integrations/retrievers/zep-cloud-retriever.mdx
index 28af48635893..38c72128f6bd 100644
--- a/docs/core_docs/docs/integrations/retrievers/zep-cloud-retriever.mdx
+++ b/docs/core_docs/docs/integrations/retrievers/zep-cloud-retriever.mdx
@@ -25,7 +25,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm i @getzep/zep-cloud @langchain/community
+npm i @getzep/zep-cloud @langchain/community @langchain/core
 ```
 
 ## Usage
diff --git a/docs/core_docs/docs/integrations/retrievers/zep-retriever.mdx b/docs/core_docs/docs/integrations/retrievers/zep-retriever.mdx
index 58d593e546ba..2e7dae378de7 100644
--- a/docs/core_docs/docs/integrations/retrievers/zep-retriever.mdx
+++ b/docs/core_docs/docs/integrations/retrievers/zep-retriever.mdx
@@ -23,7 +23,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm i @getzep/zep-js @langchain/community
+npm i @getzep/zep-js @langchain/community @langchain/core
 ```
 
 ## Usage
diff --git a/docs/core_docs/docs/integrations/stores/cassandra_storage.mdx b/docs/core_docs/docs/integrations/stores/cassandra_storage.mdx
index c054c80c5000..d4115891c593 100644
--- a/docs/core_docs/docs/integrations/stores/cassandra_storage.mdx
+++ b/docs/core_docs/docs/integrations/stores/cassandra_storage.mdx
@@ -11,7 +11,7 @@ prefixable keys.
 ## Setup
 
 ```bash npm2yarn
-npm install cassandra-driver
+npm install @langchain/community @langchain/core cassandra-driver
 ```
 
 Depending on your database providers, the specifics of how to connect to the database will vary. We will create a document `configConnection` which will be used as part of the store configuration.
diff --git a/docs/core_docs/docs/integrations/stores/file_system.ipynb b/docs/core_docs/docs/integrations/stores/file_system.ipynb
index ceeb79b8da1a..24331a29924c 100644
--- a/docs/core_docs/docs/integrations/stores/file_system.ipynb
+++ b/docs/core_docs/docs/integrations/stores/file_system.ipynb
@@ -58,7 +58,7 @@
     "\n",
     "### Integration details\n",
     "\n",
-    "| Class | Package | Local | [PY support](https://python.langchain.com/v0.2/docs/integrations/stores/file_system/) | Package downloads | Package latest |\n",
+    "| Class | Package | Local | [PY support](https://python.langchain.com/docs/integrations/stores/file_system/) | Package downloads | Package latest |\n",
     "| :--- | :--- | :---: | :---: |  :---: | :---: |\n",
     "| [LocalFileStore](https://api.js.langchain.com/classes/langchain.storage_file_system.LocalFileStore.html) | [langchain](https://api.js.langchain.com/modules/langchain.storage_file_system.html) | ✅ | ✅ | ![NPM - Downloads](https://img.shields.io/npm/dm/langchain?style=flat-square&label=%20&) | ![NPM - Version](https://img.shields.io/npm/v/langchain?style=flat-square&label=%20&) |\n",
     "\n",
@@ -76,7 +76,7 @@
     "<IntegrationInstallTooltip></IntegrationInstallTooltip>\n",
     "\n",
     "<Npm2Yarn>\n",
-    "  langchain\n",
+    "  langchain @langchain/core\n",
     "</Npm2Yarn>\n",
     "\n",
     "```"
diff --git a/docs/core_docs/docs/integrations/stores/in_memory.ipynb b/docs/core_docs/docs/integrations/stores/in_memory.ipynb
index 18ea964d2511..0c927df1291a 100644
--- a/docs/core_docs/docs/integrations/stores/in_memory.ipynb
+++ b/docs/core_docs/docs/integrations/stores/in_memory.ipynb
@@ -27,7 +27,7 @@
     "\n",
     "### Integration details\n",
     "\n",
-    "| Class | Package | Local | [PY support](https://python.langchain.com/v0.2/docs/integrations/stores/in_memory/) | Package downloads | Package latest |\n",
+    "| Class | Package | Local | [PY support](https://python.langchain.com/docs/integrations/stores/in_memory/) | Package downloads | Package latest |\n",
     "| :--- | :--- | :---: | :---: |  :---: | :---: |\n",
     "| [InMemoryStore](https://api.js.langchain.com/classes/langchain_core.stores.InMemoryStore.html) | [@langchain/core](https://api.js.langchain.com/modules/langchain_core.stores.html) | ✅ | ✅ | ![NPM - Downloads](https://img.shields.io/npm/dm/@langchain/core?style=flat-square&label=%20&) | ![NPM - Version](https://img.shields.io/npm/v/@langchain/core?style=flat-square&label=%20&) |\n",
     "\n",
diff --git a/docs/core_docs/docs/integrations/stores/ioredis_storage.mdx b/docs/core_docs/docs/integrations/stores/ioredis_storage.mdx
index f62653356941..6f6cf10377c1 100644
--- a/docs/core_docs/docs/integrations/stores/ioredis_storage.mdx
+++ b/docs/core_docs/docs/integrations/stores/ioredis_storage.mdx
@@ -5,7 +5,7 @@ This example demonstrates how to setup chat history storage using the `RedisByte
 ## Setup
 
 ```bash npm2yarn
-npm install ioredis
+npm install @langchain/community @langchain/core ioredis
 ```
 
 ## Usage
diff --git a/docs/core_docs/docs/integrations/stores/upstash_redis_storage.mdx b/docs/core_docs/docs/integrations/stores/upstash_redis_storage.mdx
index 8a94fbe3d625..e422ec658bd1 100644
--- a/docs/core_docs/docs/integrations/stores/upstash_redis_storage.mdx
+++ b/docs/core_docs/docs/integrations/stores/upstash_redis_storage.mdx
@@ -5,7 +5,7 @@ This example demonstrates how to setup chat history storage using the `UpstashRe
 ## Setup
 
 ```bash npm2yarn
-npm install @upstash/redis
+npm install @langchain/community @langchain/core @upstash/redis
 ```
 
 ## Usage
diff --git a/docs/core_docs/docs/integrations/stores/vercel_kv_storage.mdx b/docs/core_docs/docs/integrations/stores/vercel_kv_storage.mdx
index d4540df1ecf2..ffe5dc692e04 100644
--- a/docs/core_docs/docs/integrations/stores/vercel_kv_storage.mdx
+++ b/docs/core_docs/docs/integrations/stores/vercel_kv_storage.mdx
@@ -5,7 +5,7 @@ This example demonstrates how to setup chat history storage using the `VercelKVS
 ## Setup
 
 ```bash npm2yarn
-npm install @vercel/kv
+npm install @langchain/community @langchain/core @vercel/kv
 ```
 
 ## Usage
diff --git a/docs/core_docs/docs/integrations/text_embedding/alibaba_tongyi.mdx b/docs/core_docs/docs/integrations/text_embedding/alibaba_tongyi.mdx
index 7e8141406435..1ddc3ce1b994 100644
--- a/docs/core_docs/docs/integrations/text_embedding/alibaba_tongyi.mdx
+++ b/docs/core_docs/docs/integrations/text_embedding/alibaba_tongyi.mdx
@@ -17,7 +17,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @langchain/community
+npm install @langchain/community @langchain/core
 ```
 
 ## Usage
diff --git a/docs/core_docs/docs/integrations/text_embedding/azure_openai.ipynb b/docs/core_docs/docs/integrations/text_embedding/azure_openai.ipynb
index cb1855320018..3d9583386dec 100644
--- a/docs/core_docs/docs/integrations/text_embedding/azure_openai.ipynb
+++ b/docs/core_docs/docs/integrations/text_embedding/azure_openai.ipynb
@@ -86,7 +86,7 @@
     "<IntegrationInstallTooltip></IntegrationInstallTooltip>\n",
     "\n",
     "<Npm2Yarn>\n",
-    "  @langchain/openai\n",
+    "  @langchain/openai @langchain/core\n",
     "</Npm2Yarn>\n",
     "\n",
     ":::info\n",
diff --git a/docs/core_docs/docs/integrations/text_embedding/baidu_qianfan.mdx b/docs/core_docs/docs/integrations/text_embedding/baidu_qianfan.mdx
index 80b2c174aa58..64697325241d 100644
--- a/docs/core_docs/docs/integrations/text_embedding/baidu_qianfan.mdx
+++ b/docs/core_docs/docs/integrations/text_embedding/baidu_qianfan.mdx
@@ -15,7 +15,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @langchain/baidu-qianfan
+npm install @langchain/baidu-qianfan @langchain/core
 ```
 
 ## Usage
diff --git a/docs/core_docs/docs/integrations/text_embedding/bedrock.ipynb b/docs/core_docs/docs/integrations/text_embedding/bedrock.ipynb
index aa24768e5c6b..73986c7f7bbd 100644
--- a/docs/core_docs/docs/integrations/text_embedding/bedrock.ipynb
+++ b/docs/core_docs/docs/integrations/text_embedding/bedrock.ipynb
@@ -58,7 +58,7 @@
     "<IntegrationInstallTooltip></IntegrationInstallTooltip>\n",
     "\n",
     "<Npm2Yarn>\n",
-    "  @langchain/aws\n",
+    "  @langchain/aws @langchain/core\n",
     "</Npm2Yarn>\n",
     "```"
    ]
diff --git a/docs/core_docs/docs/integrations/text_embedding/cloudflare_ai.ipynb b/docs/core_docs/docs/integrations/text_embedding/cloudflare_ai.ipynb
index bc0f49b4cdc3..d7973063e516 100644
--- a/docs/core_docs/docs/integrations/text_embedding/cloudflare_ai.ipynb
+++ b/docs/core_docs/docs/integrations/text_embedding/cloudflare_ai.ipynb
@@ -72,7 +72,7 @@
     "<IntegrationInstallTooltip></IntegrationInstallTooltip>\n",
     "\n",
     "<Npm2Yarn>\n",
-    "  @langchain/cloudflare\n",
+    "  @langchain/cloudflare @langchain/core\n",
     "</Npm2Yarn>\n",
     "```"
    ]
diff --git a/docs/core_docs/docs/integrations/text_embedding/cohere.ipynb b/docs/core_docs/docs/integrations/text_embedding/cohere.ipynb
index dab1c79d7668..764b1e13ac6b 100644
--- a/docs/core_docs/docs/integrations/text_embedding/cohere.ipynb
+++ b/docs/core_docs/docs/integrations/text_embedding/cohere.ipynb
@@ -60,7 +60,7 @@
     "<IntegrationInstallTooltip></IntegrationInstallTooltip>\n",
     "\n",
     "<Npm2Yarn>\n",
-    "  @langchain/cohere\n",
+    "  @langchain/cohere @langchain/core\n",
     "</Npm2Yarn>\n",
     "```"
    ]
diff --git a/docs/core_docs/docs/integrations/text_embedding/deepinfra.mdx b/docs/core_docs/docs/integrations/text_embedding/deepinfra.mdx
index a05bf320dd25..01fe0e012fa6 100644
--- a/docs/core_docs/docs/integrations/text_embedding/deepinfra.mdx
+++ b/docs/core_docs/docs/integrations/text_embedding/deepinfra.mdx
@@ -15,7 +15,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm i @langchain/community
+npm i @langchain/community @langchain/core
 ```
 
 ## Initialization
diff --git a/docs/core_docs/docs/integrations/text_embedding/fireworks.ipynb b/docs/core_docs/docs/integrations/text_embedding/fireworks.ipynb
index 2ca95c5bd420..493f5c74d2c8 100644
--- a/docs/core_docs/docs/integrations/text_embedding/fireworks.ipynb
+++ b/docs/core_docs/docs/integrations/text_embedding/fireworks.ipynb
@@ -60,7 +60,7 @@
     "<IntegrationInstallTooltip></IntegrationInstallTooltip>\n",
     "\n",
     "<Npm2Yarn>\n",
-    "  @langchain/community\n",
+    "  @langchain/community @langchain/core\n",
     "</Npm2Yarn>\n",
     "```"
    ]
diff --git a/docs/core_docs/docs/integrations/text_embedding/google_generativeai.ipynb b/docs/core_docs/docs/integrations/text_embedding/google_generativeai.ipynb
index d1a8e0069711..cd079888786f 100644
--- a/docs/core_docs/docs/integrations/text_embedding/google_generativeai.ipynb
+++ b/docs/core_docs/docs/integrations/text_embedding/google_generativeai.ipynb
@@ -26,7 +26,7 @@
     "## Overview\n",
     "### Integration details\n",
     "\n",
-    "| Class | Package | Local | [Py support](https://python.langchain.com/v0.2/docs/integrations/text_embedding/google_generative_ai/) | Package downloads | Package latest |\n",
+    "| Class | Package | Local | [Py support](https://python.langchain.com/docs/integrations/text_embedding/google_generative_ai/) | Package downloads | Package latest |\n",
     "| :--- | :--- | :---: | :---: |  :---: | :---: |\n",
     "| [`GoogleGenerativeAIEmbeddings`](https://api.js.langchain.com/classes/langchain_google_genai.GoogleGenerativeAIEmbeddings.html) | [`@langchain/google-genai`](https://npmjs.com/@langchain/google-genai) | ❌ | ✅ | ![NPM - Downloads](https://img.shields.io/npm/dm/@langchain/google-genai?style=flat-square&label=%20&) | ![NPM - Version](https://img.shields.io/npm/v/@langchain/google-genai?style=flat-square&label=%20&) |\n",
     "\n",
@@ -62,7 +62,7 @@
     "<IntegrationInstallTooltip></IntegrationInstallTooltip>\n",
     "\n",
     "<Npm2Yarn>\n",
-    "  @langchain/google-genai @google/generative-ai\n",
+    "  @langchain/google-genai @langchain/core @google/generative-ai\n",
     "</Npm2Yarn>\n",
     "```"
    ]
diff --git a/docs/core_docs/docs/integrations/text_embedding/google_palm.mdx b/docs/core_docs/docs/integrations/text_embedding/google_palm.mdx
deleted file mode 100644
index 22b41b2b1e1f..000000000000
--- a/docs/core_docs/docs/integrations/text_embedding/google_palm.mdx
+++ /dev/null
@@ -1,40 +0,0 @@
----
-sidebar_label: Google PaLM
-sidebar_class_name: hidden
----
-
-import CodeBlock from "@theme/CodeBlock";
-
-# Google PaLM (Legacy)
-
-:::warning
-The Google PaLM API is deprecated and will be removed in 0.3.0. Please use the [Google GenAI](/docs/integrations/text_embedding/google_generativeai) integration instead.
-:::
-
-:::note
-This integration does not support `embeddings-*` model. Check [Google GenAI](/docs/integrations/text_embedding/google_generativeai) embeddings.
-:::
-
-The [Google PaLM API](https://developers.generativeai.google/products/palm) can be integrated by first
-installing the required packages:
-
-import IntegrationInstallTooltip from "@mdx_components/integration_install_tooltip.mdx";
-
-<IntegrationInstallTooltip></IntegrationInstallTooltip>
-
-```bash npm2yarn
-npm install google-auth-library @google-ai/generativelanguage @langchain/community
-```
-
-Create an **API key** from [Google MakerSuite](https://makersuite.google.com/app/apikey). You can then set
-the key as `GOOGLE_PALM_API_KEY` environment variable or pass it as `apiKey` parameter while instantiating
-the model.
-
-import GooglePaLMExample from "@examples/models/embeddings/googlepalm.ts";
-
-<CodeBlock language="typescript">{GooglePaLMExample}</CodeBlock>
-
-## Related
-
-- Embedding model [conceptual guide](/docs/concepts/#embedding-models)
-- Embedding model [how-to guides](/docs/how_to/#embedding-models)
diff --git a/docs/core_docs/docs/integrations/text_embedding/google_vertex_ai.ipynb b/docs/core_docs/docs/integrations/text_embedding/google_vertex_ai.ipynb
index 6da3c72657ef..83c899ded203 100644
--- a/docs/core_docs/docs/integrations/text_embedding/google_vertex_ai.ipynb
+++ b/docs/core_docs/docs/integrations/text_embedding/google_vertex_ai.ipynb
@@ -28,7 +28,7 @@
     "## Overview\n",
     "### Integration details\n",
     "\n",
-    "| Class | Package | Local | [Py support](https://python.langchain.com/v0.2/docs/integrations/text_embedding/google_vertex_ai_palm/) | Package downloads | Package latest |\n",
+    "| Class | Package | Local | [Py support](https://python.langchain.com/docs/integrations/text_embedding/google_vertex_ai_palm/) | Package downloads | Package latest |\n",
     "| :--- | :--- | :---: | :---: |  :---: | :---: |\n",
     "| [`VertexAIEmbeddings`](https://api.js.langchain.com/classes/langchain_google_vertexai.GoogleVertexAIEmbeddings.html) | [`@langchain/google-vertexai`](https://npmjs.com/@langchain/google-vertexai) | ❌ | ✅ | ![NPM - Downloads](https://img.shields.io/npm/dm/@langchain/google-vertexai?style=flat-square&label=%20&) | ![NPM - Version](https://img.shields.io/npm/v/@langchain/google-vertexai?style=flat-square&label=%20&) |\n",
     "\n",
@@ -71,7 +71,7 @@
     "<IntegrationInstallTooltip></IntegrationInstallTooltip>\n",
     "\n",
     "<Npm2Yarn>\n",
-    "  @langchain/google-vertexai\n",
+    "  @langchain/google-vertexai @langchain/core\n",
     "</Npm2Yarn>\n",
     "```"
    ]
diff --git a/docs/core_docs/docs/integrations/text_embedding/gradient_ai.mdx b/docs/core_docs/docs/integrations/text_embedding/gradient_ai.mdx
index 95eca64ecb65..765c926adb71 100644
--- a/docs/core_docs/docs/integrations/text_embedding/gradient_ai.mdx
+++ b/docs/core_docs/docs/integrations/text_embedding/gradient_ai.mdx
@@ -11,7 +11,7 @@ The `GradientEmbeddings` class uses the Gradient AI API to generate embeddings f
 You'll need to install the official Gradient Node SDK as a peer dependency:
 
 ```bash npm2yarn
-npm i @gradientai/nodejs-sdk
+npm i @langchain/community @langchain/core @gradientai/nodejs-sdk
 ```
 
 You will need to set the following environment variables for using the Gradient AI API.
diff --git a/docs/core_docs/docs/integrations/text_embedding/hugging_face_inference.mdx b/docs/core_docs/docs/integrations/text_embedding/hugging_face_inference.mdx
index a43457b6b73c..ae34073f0dbd 100644
--- a/docs/core_docs/docs/integrations/text_embedding/hugging_face_inference.mdx
+++ b/docs/core_docs/docs/integrations/text_embedding/hugging_face_inference.mdx
@@ -11,7 +11,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @langchain/community @huggingface/inference@2
+npm install @langchain/community @langchain/core @huggingface/inference@2
 ```
 
 ## Usage
diff --git a/docs/core_docs/docs/integrations/text_embedding/jina.mdx b/docs/core_docs/docs/integrations/text_embedding/jina.mdx
index 4eb6008822b2..1a8cd20d0bc9 100644
--- a/docs/core_docs/docs/integrations/text_embedding/jina.mdx
+++ b/docs/core_docs/docs/integrations/text_embedding/jina.mdx
@@ -15,7 +15,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm i @langchain/community
+npm i @langchain/community @langchain/core
 ```
 
 ## Initialization
diff --git a/docs/core_docs/docs/integrations/text_embedding/llama_cpp.mdx b/docs/core_docs/docs/integrations/text_embedding/llama_cpp.mdx
index e39b54b8ab17..824db38cd589 100644
--- a/docs/core_docs/docs/integrations/text_embedding/llama_cpp.mdx
+++ b/docs/core_docs/docs/integrations/text_embedding/llama_cpp.mdx
@@ -23,7 +23,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @langchain/community
+npm install @langchain/community @langchain/core
 ```
 
 You will also need a local Llama 2 model (or a model supported by [node-llama-cpp](https://github.com/withcatai/node-llama-cpp)). You will need to pass the path to this model to the LlamaCpp module as a part of the parameters (see example).
diff --git a/docs/core_docs/docs/integrations/text_embedding/mistralai.ipynb b/docs/core_docs/docs/integrations/text_embedding/mistralai.ipynb
index cba77a87fee8..360e8fcfcdef 100644
--- a/docs/core_docs/docs/integrations/text_embedding/mistralai.ipynb
+++ b/docs/core_docs/docs/integrations/text_embedding/mistralai.ipynb
@@ -60,7 +60,7 @@
     "<IntegrationInstallTooltip></IntegrationInstallTooltip>\n",
     "\n",
     "<Npm2Yarn>\n",
-    "  @langchain/mistralai\n",
+    "  @langchain/mistralai @langchain/core\n",
     "</Npm2Yarn>\n",
     "```"
    ]
diff --git a/docs/core_docs/docs/integrations/text_embedding/mixedbread_ai.mdx b/docs/core_docs/docs/integrations/text_embedding/mixedbread_ai.mdx
index 824a616fdeea..4fe65d0a8439 100644
--- a/docs/core_docs/docs/integrations/text_embedding/mixedbread_ai.mdx
+++ b/docs/core_docs/docs/integrations/text_embedding/mixedbread_ai.mdx
@@ -11,7 +11,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @langchain/mixedbread-ai
+npm install @langchain/mixedbread-ai @langchain/core
 ```
 
 ## Initialization
diff --git a/docs/core_docs/docs/integrations/text_embedding/nomic.mdx b/docs/core_docs/docs/integrations/text_embedding/nomic.mdx
index 232bd991a13f..c80ad74ff673 100644
--- a/docs/core_docs/docs/integrations/text_embedding/nomic.mdx
+++ b/docs/core_docs/docs/integrations/text_embedding/nomic.mdx
@@ -18,7 +18,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @langchain/nomic
+npm install @langchain/nomic @langchain/core
 ```
 
 ## Usage
diff --git a/docs/core_docs/docs/integrations/text_embedding/ollama.ipynb b/docs/core_docs/docs/integrations/text_embedding/ollama.ipynb
index 106d6f45be60..86e59ebf8b53 100644
--- a/docs/core_docs/docs/integrations/text_embedding/ollama.ipynb
+++ b/docs/core_docs/docs/integrations/text_embedding/ollama.ipynb
@@ -54,7 +54,7 @@
     "<IntegrationInstallTooltip></IntegrationInstallTooltip>\n",
     "\n",
     "<Npm2Yarn>\n",
-    "  @langchain/ollama\n",
+    "  @langchain/ollama @langchain/core\n",
     "</Npm2Yarn>\n",
     "```"
    ]
diff --git a/docs/core_docs/docs/integrations/text_embedding/openai.ipynb b/docs/core_docs/docs/integrations/text_embedding/openai.ipynb
index 3c820eec3d55..4bd007ed6bba 100644
--- a/docs/core_docs/docs/integrations/text_embedding/openai.ipynb
+++ b/docs/core_docs/docs/integrations/text_embedding/openai.ipynb
@@ -60,7 +60,7 @@
     "<IntegrationInstallTooltip></IntegrationInstallTooltip>\n",
     "\n",
     "<Npm2Yarn>\n",
-    "  @langchain/openai\n",
+    "  @langchain/openai @langchain/core\n",
     "</Npm2Yarn>\n",
     "```"
    ]
diff --git a/docs/core_docs/docs/integrations/text_embedding/premai.mdx b/docs/core_docs/docs/integrations/text_embedding/premai.mdx
index 71705ecb963a..8c6c1a3d2b4d 100644
--- a/docs/core_docs/docs/integrations/text_embedding/premai.mdx
+++ b/docs/core_docs/docs/integrations/text_embedding/premai.mdx
@@ -17,7 +17,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @langchain/community
+npm install @langchain/community @langchain/core
 ```
 
 ## Usage
diff --git a/docs/core_docs/docs/integrations/text_embedding/tencent_hunyuan.mdx b/docs/core_docs/docs/integrations/text_embedding/tencent_hunyuan.mdx
index 1b8afe372338..dfec6524c77e 100644
--- a/docs/core_docs/docs/integrations/text_embedding/tencent_hunyuan.mdx
+++ b/docs/core_docs/docs/integrations/text_embedding/tencent_hunyuan.mdx
@@ -17,7 +17,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @langchain/community
+npm install @langchain/community @langchain/core
 ```
 
 If you are using LangChain.js in a browser environment, you'll also need to install the following dependencies:
diff --git a/docs/core_docs/docs/integrations/text_embedding/tensorflow.mdx b/docs/core_docs/docs/integrations/text_embedding/tensorflow.mdx
index 7192643f78a9..7a83f5a36bf8 100644
--- a/docs/core_docs/docs/integrations/text_embedding/tensorflow.mdx
+++ b/docs/core_docs/docs/integrations/text_embedding/tensorflow.mdx
@@ -3,7 +3,7 @@
 This Embeddings integration runs the embeddings entirely in your browser or Node.js environment, using [TensorFlow.js](https://www.tensorflow.org/js). This means that your data isn't sent to any third party, and you don't need to sign up for any API keys. However, it does require more memory and processing power than the other integrations.
 
 ```bash npm2yarn
-npm install @tensorflow/tfjs-core@3.6.0 @tensorflow/tfjs-converter@3.6.0 @tensorflow-models/universal-sentence-encoder@1.3.3 @tensorflow/tfjs-backend-cpu
+npm install @langchain/community @langchain/core @tensorflow/tfjs-core@3.6.0 @tensorflow/tfjs-converter@3.6.0 @tensorflow-models/universal-sentence-encoder@1.3.3 @tensorflow/tfjs-backend-cpu
 ```
 
 ```typescript
diff --git a/docs/core_docs/docs/integrations/text_embedding/togetherai.ipynb b/docs/core_docs/docs/integrations/text_embedding/togetherai.ipynb
index ce2a931a3f37..508a098f8688 100644
--- a/docs/core_docs/docs/integrations/text_embedding/togetherai.ipynb
+++ b/docs/core_docs/docs/integrations/text_embedding/togetherai.ipynb
@@ -60,7 +60,7 @@
     "<IntegrationInstallTooltip></IntegrationInstallTooltip>\n",
     "\n",
     "<Npm2Yarn>\n",
-    "  @langchain/community\n",
+    "  @langchain/community @langchain/core\n",
     "</Npm2Yarn>\n",
     "```"
    ]
diff --git a/docs/core_docs/docs/integrations/text_embedding/transformers.mdx b/docs/core_docs/docs/integrations/text_embedding/transformers.mdx
index f0211b07d2c6..da7bda4c47cb 100644
--- a/docs/core_docs/docs/integrations/text_embedding/transformers.mdx
+++ b/docs/core_docs/docs/integrations/text_embedding/transformers.mdx
@@ -19,7 +19,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @langchain/community
+npm install @langchain/community @langchain/core
 ```
 
 ## Example
diff --git a/docs/core_docs/docs/integrations/text_embedding/zhipuai.mdx b/docs/core_docs/docs/integrations/text_embedding/zhipuai.mdx
index 583c3e09cd25..284a13020b12 100644
--- a/docs/core_docs/docs/integrations/text_embedding/zhipuai.mdx
+++ b/docs/core_docs/docs/integrations/text_embedding/zhipuai.mdx
@@ -19,7 +19,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @langchain/community jsonwebtoken
+npm install @langchain/community @langchain/core jsonwebtoken
 ```
 
 ## Usage
diff --git a/docs/core_docs/docs/integrations/toolkits/connery.mdx b/docs/core_docs/docs/integrations/toolkits/connery.mdx
index a486de9f08fd..4bf94331e0d2 100644
--- a/docs/core_docs/docs/integrations/toolkits/connery.mdx
+++ b/docs/core_docs/docs/integrations/toolkits/connery.mdx
@@ -40,7 +40,7 @@ To use Connery Actions in your LangChain agent, you need to do some preparation:
 To use the Connery Toolkit you need to install the following official peer dependency:
 
 ```bash npm2yarn
-npm install @langchain/openai @langchain/community
+npm install @langchain/openai @langchain/community @langchain/core
 ```
 
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
diff --git a/docs/core_docs/docs/integrations/toolkits/json.mdx b/docs/core_docs/docs/integrations/toolkits/json.mdx
index ad96c5c5f765..081ddec5ce77 100644
--- a/docs/core_docs/docs/integrations/toolkits/json.mdx
+++ b/docs/core_docs/docs/integrations/toolkits/json.mdx
@@ -7,7 +7,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @langchain/openai
+npm install @langchain/openai @langchain/core
 ```
 
 ```typescript
diff --git a/docs/core_docs/docs/integrations/toolkits/openapi.ipynb b/docs/core_docs/docs/integrations/toolkits/openapi.ipynb
index 846bc030e241..95ead5b1bdc0 100644
--- a/docs/core_docs/docs/integrations/toolkits/openapi.ipynb
+++ b/docs/core_docs/docs/integrations/toolkits/openapi.ipynb
@@ -37,7 +37,7 @@
     "\n",
     "```\n",
     "\n",
-    "This will help you getting started with the [OpenApiToolkit](/docs/concepts/#toolkits). For detailed documentation of all OpenApiToolkit features and configurations head to the [API reference](https://v02.api.js.langchain.com/classes/langchain.agents.OpenApiToolkit.html).\n",
+    "This will help you getting started with the [OpenApiToolkit](/docs/concepts/#toolkits). For detailed documentation of all OpenApiToolkit features and configurations head to the [API reference](https://api.js.langchain.com/classes/langchain.agents.OpenApiToolkit.html).\n",
     "\n",
     "The `OpenAPIToolkit` has access to the following tools:\n",
     "\n",
@@ -69,7 +69,7 @@
     "<IntegrationInstallTooltip></IntegrationInstallTooltip>\n",
     "\n",
     "<Npm2Yarn>\n",
-    "  langchain\n",
+    "  langchain @langchain/core\n",
     "</Npm2Yarn>\n",
     "```"
    ]
@@ -295,7 +295,7 @@
    "source": [
     "## API reference\n",
     "\n",
-    "For detailed documentation of all OpenApiToolkit features and configurations head to the [API reference](https://v02.api.js.langchain.com/classes/langchain.agents.OpenApiToolkit.html)."
+    "For detailed documentation of all OpenApiToolkit features and configurations head to the [API reference](https://api.js.langchain.com/classes/langchain.agents.OpenApiToolkit.html)."
    ]
   }
  ],
diff --git a/docs/core_docs/docs/integrations/toolkits/sfn_agent.mdx b/docs/core_docs/docs/integrations/toolkits/sfn_agent.mdx
index 25eddf14b9af..815e29c07bf4 100644
--- a/docs/core_docs/docs/integrations/toolkits/sfn_agent.mdx
+++ b/docs/core_docs/docs/integrations/toolkits/sfn_agent.mdx
@@ -26,7 +26,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @langchain/openai @langchain/community
+npm install @langchain/openai @langchain/community @langchain/core
 ```
 
 ### Note about credentials:
diff --git a/docs/core_docs/docs/integrations/toolkits/sql.ipynb b/docs/core_docs/docs/integrations/toolkits/sql.ipynb
index 026e2f9dcfbf..5f52a0f08b6a 100644
--- a/docs/core_docs/docs/integrations/toolkits/sql.ipynb
+++ b/docs/core_docs/docs/integrations/toolkits/sql.ipynb
@@ -56,7 +56,7 @@
     "<IntegrationInstallTooltip></IntegrationInstallTooltip>\n",
     "\n",
     "<Npm2Yarn>\n",
-    "  langchain typeorm\n",
+    "  langchain @langchain/core typeorm\n",
     "</Npm2Yarn>\n",
     "```"
    ]
diff --git a/docs/core_docs/docs/integrations/toolkits/vectorstore.ipynb b/docs/core_docs/docs/integrations/toolkits/vectorstore.ipynb
index 811ae4f7f756..9eb7c1fce715 100644
--- a/docs/core_docs/docs/integrations/toolkits/vectorstore.ipynb
+++ b/docs/core_docs/docs/integrations/toolkits/vectorstore.ipynb
@@ -45,7 +45,7 @@
     "<IntegrationInstallTooltip></IntegrationInstallTooltip>\n",
     "\n",
     "<Npm2Yarn>\n",
-    "  langchain\n",
+    "  langchain @langchain/core\n",
     "</Npm2Yarn>\n",
     "```"
    ]
diff --git a/docs/core_docs/docs/integrations/tools/aiplugin-tool.mdx b/docs/core_docs/docs/integrations/tools/aiplugin-tool.mdx
index d6f13289ee31..453e6fc1cb89 100644
--- a/docs/core_docs/docs/integrations/tools/aiplugin-tool.mdx
+++ b/docs/core_docs/docs/integrations/tools/aiplugin-tool.mdx
@@ -23,7 +23,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @langchain/openai
+npm install @langchain/openai @langchain/core
 ```
 
 <CodeBlock language="typescript">{Example}</CodeBlock>
diff --git a/docs/core_docs/docs/integrations/tools/azure_dynamic_sessions.mdx b/docs/core_docs/docs/integrations/tools/azure_dynamic_sessions.mdx
index 1453265a1426..fade937440e7 100644
--- a/docs/core_docs/docs/integrations/tools/azure_dynamic_sessions.mdx
+++ b/docs/core_docs/docs/integrations/tools/azure_dynamic_sessions.mdx
@@ -13,7 +13,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @langchain/azure-dynamic-sessions
+npm install @langchain/azure-dynamic-sessions @langchain/core
 ```
 
 You'll also need to have a code interpreter session pool instance running. You can deploy a version using [Azure CLI](https://learn.microsoft.com/cli/azure/install-azure-cli) following [this guide](https://learn.microsoft.com/azure/container-apps/sessions-code-interpreter).
diff --git a/docs/core_docs/docs/integrations/tools/connery.mdx b/docs/core_docs/docs/integrations/tools/connery.mdx
index a12470fe5255..8454f626c157 100644
--- a/docs/core_docs/docs/integrations/tools/connery.mdx
+++ b/docs/core_docs/docs/integrations/tools/connery.mdx
@@ -40,7 +40,7 @@ To use Connery Actions in your LangChain agent, you need to do some preparation:
 To use the Connery Action Tool you need to install the following official peer dependency:
 
 ```bash npm2yarn
-npm install @langchain/community
+npm install @langchain/community @langchain/core
 ```
 
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
diff --git a/docs/core_docs/docs/integrations/tools/dalle.mdx b/docs/core_docs/docs/integrations/tools/dalle.mdx
index 61b84450453b..6c50daf19721 100644
--- a/docs/core_docs/docs/integrations/tools/dalle.mdx
+++ b/docs/core_docs/docs/integrations/tools/dalle.mdx
@@ -21,7 +21,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @langchain/openai
+npm install @langchain/openai @langchain/core
 ```
 
 <CodeBlock language="typescript">{ToolExample}</CodeBlock>
diff --git a/docs/core_docs/docs/integrations/tools/discord.mdx b/docs/core_docs/docs/integrations/tools/discord.mdx
index 12fd25cfec61..5699e30d88a9 100644
--- a/docs/core_docs/docs/integrations/tools/discord.mdx
+++ b/docs/core_docs/docs/integrations/tools/discord.mdx
@@ -26,7 +26,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @langchain/openai
+npm install @langchain/openai @langchain/core
 ```
 
 <CodeBlock language="typescript">{ToolExample}</CodeBlock>
diff --git a/docs/core_docs/docs/integrations/tools/duckduckgo_search.ipynb b/docs/core_docs/docs/integrations/tools/duckduckgo_search.ipynb
index 1ff5b72ffdea..5f5ea4896ac5 100644
--- a/docs/core_docs/docs/integrations/tools/duckduckgo_search.ipynb
+++ b/docs/core_docs/docs/integrations/tools/duckduckgo_search.ipynb
@@ -44,7 +44,7 @@
     "<IntegrationInstallTooltip></IntegrationInstallTooltip>\n",
     "\n",
     "<Npm2Yarn>\n",
-    "  @langchain/community duck-duck-scrape\n",
+    "  @langchain/community @langchain/core duck-duck-scrape\n",
     "</Npm2Yarn>\n",
     "```\n",
     "\n",
diff --git a/docs/core_docs/docs/integrations/tools/exa_search.ipynb b/docs/core_docs/docs/integrations/tools/exa_search.ipynb
index 5b88a5fc4599..74b89aa56eb5 100644
--- a/docs/core_docs/docs/integrations/tools/exa_search.ipynb
+++ b/docs/core_docs/docs/integrations/tools/exa_search.ipynb
@@ -32,7 +32,7 @@
     "<IntegrationInstallTooltip></IntegrationInstallTooltip>\n",
     "\n",
     "<Npm2Yarn>\n",
-    "  @langchain/exa\n",
+    "  @langchain/exa @langchain/core\n",
     "</Npm2Yarn>\n",
     "\n",
     "```\n",
diff --git a/docs/core_docs/docs/integrations/tools/gmail.mdx b/docs/core_docs/docs/integrations/tools/gmail.mdx
index b92399a484e8..fce3c49d72a1 100644
--- a/docs/core_docs/docs/integrations/tools/gmail.mdx
+++ b/docs/core_docs/docs/integrations/tools/gmail.mdx
@@ -21,7 +21,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @langchain/openai googleapis @langchain/community
+npm install @langchain/openai @langchain/community @langchain/core googleapis
 ```
 
 ## Usage
diff --git a/docs/core_docs/docs/integrations/tools/google_calendar.mdx b/docs/core_docs/docs/integrations/tools/google_calendar.mdx
index 7b4f6107be63..800605123d00 100644
--- a/docs/core_docs/docs/integrations/tools/google_calendar.mdx
+++ b/docs/core_docs/docs/integrations/tools/google_calendar.mdx
@@ -25,7 +25,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @langchain/openai
+npm install @langchain/openai @langchain/core
 ```
 
 <CodeBlock language="typescript">{ToolExample}</CodeBlock>
diff --git a/docs/core_docs/docs/integrations/tools/google_places.mdx b/docs/core_docs/docs/integrations/tools/google_places.mdx
index fe39e3aee9b8..4d2c48386efe 100644
--- a/docs/core_docs/docs/integrations/tools/google_places.mdx
+++ b/docs/core_docs/docs/integrations/tools/google_places.mdx
@@ -22,7 +22,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @langchain/openai @langchain/community
+npm install @langchain/openai @langchain/community @langchain/core
 ```
 
 import ToolExample from "@examples/tools/google_places.ts";
diff --git a/docs/core_docs/docs/integrations/tools/google_routes.mdx b/docs/core_docs/docs/integrations/tools/google_routes.mdx
index 16177d2ea710..0ed4b2548166 100644
--- a/docs/core_docs/docs/integrations/tools/google_routes.mdx
+++ b/docs/core_docs/docs/integrations/tools/google_routes.mdx
@@ -22,7 +22,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @langchain/openai @langchain/community
+npm install @langchain/openai @langchain/community @langchain/core
 ```
 
 import ToolExample from "@examples/tools/google_routes.ts";
diff --git a/docs/core_docs/docs/integrations/tools/lambda_agent.mdx b/docs/core_docs/docs/integrations/tools/lambda_agent.mdx
index bf07d3878932..d53160ccfc31 100644
--- a/docs/core_docs/docs/integrations/tools/lambda_agent.mdx
+++ b/docs/core_docs/docs/integrations/tools/lambda_agent.mdx
@@ -25,7 +25,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @langchain/openai
+npm install @langchain/openai @langchain/core
 ```
 
 ```typescript
diff --git a/docs/core_docs/docs/integrations/tools/pyinterpreter.mdx b/docs/core_docs/docs/integrations/tools/pyinterpreter.mdx
index 65667106c599..c88aafb338e3 100644
--- a/docs/core_docs/docs/integrations/tools/pyinterpreter.mdx
+++ b/docs/core_docs/docs/integrations/tools/pyinterpreter.mdx
@@ -22,7 +22,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @langchain/openai
+npm install @langchain/openai @langchain/core
 ```
 
 <CodeBlock language="typescript">{ToolExample}</CodeBlock>
diff --git a/docs/core_docs/docs/integrations/tools/searchapi.mdx b/docs/core_docs/docs/integrations/tools/searchapi.mdx
index acc7ad0d75e4..e85f0b720733 100644
--- a/docs/core_docs/docs/integrations/tools/searchapi.mdx
+++ b/docs/core_docs/docs/integrations/tools/searchapi.mdx
@@ -21,7 +21,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @langchain/openai
+npm install @langchain/openai @langchain/core
 ```
 
 <CodeBlock language="typescript">{ToolExample}</CodeBlock>
diff --git a/docs/core_docs/docs/integrations/tools/searxng.mdx b/docs/core_docs/docs/integrations/tools/searxng.mdx
index b02102137404..13c11f60e799 100644
--- a/docs/core_docs/docs/integrations/tools/searxng.mdx
+++ b/docs/core_docs/docs/integrations/tools/searxng.mdx
@@ -19,7 +19,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @langchain/openai
+npm install @langchain/openai @langchain/core
 ```
 
 <CodeBlock language="typescript">{ToolExample}</CodeBlock>
diff --git a/docs/core_docs/docs/integrations/tools/tavily_search.ipynb b/docs/core_docs/docs/integrations/tools/tavily_search.ipynb
index ff63e76ba54c..51ed543db0bb 100644
--- a/docs/core_docs/docs/integrations/tools/tavily_search.ipynb
+++ b/docs/core_docs/docs/integrations/tools/tavily_search.ipynb
@@ -29,7 +29,7 @@
     "\n",
     "### Integration details\n",
     "\n",
-    "| Class | Package | [PY support](https://python.langchain.com/v0.2/docs/integrations/tools/tavily_search/) | Package latest |\n",
+    "| Class | Package | [PY support](https://python.langchain.com/docs/integrations/tools/tavily_search/) | Package latest |\n",
     "| :--- | :--- | :---: | :---: |\n",
     "| [TavilySearchResults](https://api.js.langchain.com/classes/langchain_community_tools_tavily_search.TavilySearchResults.html) | [`@langchain/community`](https://www.npmjs.com/package/@langchain/community) | ✅ |  ![NPM - Version](https://img.shields.io/npm/v/@langchain/community?style=flat-square&label=%20&) |\n",
     "\n",
@@ -44,7 +44,7 @@
     "<IntegrationInstallTooltip></IntegrationInstallTooltip>\n",
     "\n",
     "<Npm2Yarn>\n",
-    "  @langchain/community\n",
+    "  @langchain/community @langchain/core\n",
     "</Npm2Yarn>\n",
     "```\n",
     "\n",
diff --git a/docs/core_docs/docs/integrations/tools/webbrowser.mdx b/docs/core_docs/docs/integrations/tools/webbrowser.mdx
index eccec0d797ee..a5418a6a9956 100644
--- a/docs/core_docs/docs/integrations/tools/webbrowser.mdx
+++ b/docs/core_docs/docs/integrations/tools/webbrowser.mdx
@@ -34,7 +34,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @langchain/openai
+npm install @langchain/openai @langchain/core
 ```
 
 <CodeBlock language="typescript">{ToolExample}</CodeBlock>
diff --git a/docs/core_docs/docs/integrations/tools/zapier_agent.mdx b/docs/core_docs/docs/integrations/tools/zapier_agent.mdx
index b7e91629c3df..01ec98a0d8df 100644
--- a/docs/core_docs/docs/integrations/tools/zapier_agent.mdx
+++ b/docs/core_docs/docs/integrations/tools/zapier_agent.mdx
@@ -33,7 +33,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @langchain/openai
+npm install @langchain/openai @langchain/core
 ```
 
 ```typescript
diff --git a/docs/core_docs/docs/integrations/vectorstores/analyticdb.mdx b/docs/core_docs/docs/integrations/vectorstores/analyticdb.mdx
index 7bc78bd12643..f9f3b12eec83 100644
--- a/docs/core_docs/docs/integrations/vectorstores/analyticdb.mdx
+++ b/docs/core_docs/docs/integrations/vectorstores/analyticdb.mdx
@@ -39,7 +39,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @langchain/openai @langchain/community
+npm install @langchain/openai @langchain/community @langchain/core
 ```
 
 ## Usage
diff --git a/docs/core_docs/docs/integrations/vectorstores/astradb.mdx b/docs/core_docs/docs/integrations/vectorstores/astradb.mdx
index edf42acfe838..1fb781343323 100644
--- a/docs/core_docs/docs/integrations/vectorstores/astradb.mdx
+++ b/docs/core_docs/docs/integrations/vectorstores/astradb.mdx
@@ -35,7 +35,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @langchain/openai @datastax/astra-db-ts @langchain/community
+npm install @langchain/openai @datastax/astra-db-ts @langchain/community @langchain/core
 ```
 
 ## Indexing docs
diff --git a/docs/core_docs/docs/integrations/vectorstores/azure_aisearch.mdx b/docs/core_docs/docs/integrations/vectorstores/azure_aisearch.mdx
index 66fa9ae594f3..4f7b2c444924 100644
--- a/docs/core_docs/docs/integrations/vectorstores/azure_aisearch.mdx
+++ b/docs/core_docs/docs/integrations/vectorstores/azure_aisearch.mdx
@@ -15,7 +15,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install -S @langchain/community @azure/search-documents
+npm install -S @langchain/community @langchain/core @azure/search-documents
 ```
 
 You'll also need to have an Azure AI Search instance running. You can deploy a free version on Azure Portal without any cost, following [this guide](https://learn.microsoft.com/azure/search/search-create-service-portal).
diff --git a/docs/core_docs/docs/integrations/vectorstores/azure_cosmosdb_mongodb.mdx b/docs/core_docs/docs/integrations/vectorstores/azure_cosmosdb_mongodb.mdx
index b795fd02b394..e04c82f8a7e3 100644
--- a/docs/core_docs/docs/integrations/vectorstores/azure_cosmosdb_mongodb.mdx
+++ b/docs/core_docs/docs/integrations/vectorstores/azure_cosmosdb_mongodb.mdx
@@ -15,7 +15,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @langchain/azure-cosmosdb
+npm install @langchain/azure-cosmosdb @langchain/core
 ```
 
 You'll also need to have an Azure Cosmos DB for MongoDB vCore instance running. You can deploy a free version on Azure Portal without any cost, following [this guide](https://learn.microsoft.com/azure/cosmos-db/mongodb/vcore/quickstart-portal).
diff --git a/docs/core_docs/docs/integrations/vectorstores/azure_cosmosdb_nosql.mdx b/docs/core_docs/docs/integrations/vectorstores/azure_cosmosdb_nosql.mdx
index c8a145e39445..0ac04602ce8b 100644
--- a/docs/core_docs/docs/integrations/vectorstores/azure_cosmosdb_nosql.mdx
+++ b/docs/core_docs/docs/integrations/vectorstores/azure_cosmosdb_nosql.mdx
@@ -13,7 +13,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @langchain/azure-cosmosdb
+npm install @langchain/azure-cosmosdb @langchain/core
 ```
 
 You'll also need to have an Azure Cosmos DB for NoSQL instance running. You can deploy a free version on Azure Portal without any cost, following [this guide](https://learn.microsoft.com/azure/cosmos-db/nosql/quickstart-portal).
diff --git a/docs/core_docs/docs/integrations/vectorstores/cassandra.mdx b/docs/core_docs/docs/integrations/vectorstores/cassandra.mdx
index e421704fcae8..043c2a94aa78 100644
--- a/docs/core_docs/docs/integrations/vectorstores/cassandra.mdx
+++ b/docs/core_docs/docs/integrations/vectorstores/cassandra.mdx
@@ -21,7 +21,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install cassandra-driver @langchain/community @langchain/openai
+npm install cassandra-driver @langchain/community @langchain/openai @langchain/core
 ```
 
 Depending on your database providers, the specifics of how to connect to the database will vary. We will create a document `configConnection` which will be used as part of the vector store configuration.
diff --git a/docs/core_docs/docs/integrations/vectorstores/chroma.ipynb b/docs/core_docs/docs/integrations/vectorstores/chroma.ipynb
index d26453104322..5b7d0458e1d0 100644
--- a/docs/core_docs/docs/integrations/vectorstores/chroma.ipynb
+++ b/docs/core_docs/docs/integrations/vectorstores/chroma.ipynb
@@ -35,7 +35,7 @@
     "\n",
     "### Integration details\n",
     "\n",
-    "| Class | Package | [PY support](https://python.langchain.com/v0.2/docs/integrations/vectorstores/chroma/) | Package latest |\n",
+    "| Class | Package | [PY support](https://python.langchain.com/docs/integrations/vectorstores/chroma/) | Package latest |\n",
     "| :--- | :--- | :---: | :---: |\n",
     "| [`Chroma`](https://api.js.langchain.com/classes/langchain_community_vectorstores_chroma.Chroma.html) | [`@langchain/community`](https://www.npmjs.com/package/@langchain/community) | ✅ |  ![NPM - Version](https://img.shields.io/npm/v/@langchain/community?style=flat-square&label=%20&) |"
    ]
@@ -58,7 +58,7 @@
     "<IntegrationInstallTooltip></IntegrationInstallTooltip>\n",
     "\n",
     "<Npm2Yarn>\n",
-    "  @langchain/community @langchain/openai chromadb\n",
+    "  @langchain/community @langchain/openai @langchain/core chromadb\n",
     "</Npm2Yarn>\n",
     "```\n",
     "\n",
diff --git a/docs/core_docs/docs/integrations/vectorstores/clickhouse.mdx b/docs/core_docs/docs/integrations/vectorstores/clickhouse.mdx
index ca63a4d9d068..85a4c21c0951 100644
--- a/docs/core_docs/docs/integrations/vectorstores/clickhouse.mdx
+++ b/docs/core_docs/docs/integrations/vectorstores/clickhouse.mdx
@@ -29,7 +29,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @langchain/openai @langchain/community
+npm install @langchain/openai @langchain/community @langchain/core
 ```
 
 ## Index and Query Docs
diff --git a/docs/core_docs/docs/integrations/vectorstores/closevector.mdx b/docs/core_docs/docs/integrations/vectorstores/closevector.mdx
index 030307f10d9b..9bc70ea415da 100644
--- a/docs/core_docs/docs/integrations/vectorstores/closevector.mdx
+++ b/docs/core_docs/docs/integrations/vectorstores/closevector.mdx
@@ -27,7 +27,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @langchain/openai @langchain/community
+npm install @langchain/openai @langchain/community @langchain/core
 ```
 
 ## Usage
diff --git a/docs/core_docs/docs/integrations/vectorstores/cloudflare_vectorize.mdx b/docs/core_docs/docs/integrations/vectorstores/cloudflare_vectorize.mdx
index 2b5c208ea124..ce3c0c54710c 100644
--- a/docs/core_docs/docs/integrations/vectorstores/cloudflare_vectorize.mdx
+++ b/docs/core_docs/docs/integrations/vectorstores/cloudflare_vectorize.mdx
@@ -37,7 +37,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @langchain/cloudflare
+npm install @langchain/cloudflare @langchain/core
 ```
 
 ## Usage
diff --git a/docs/core_docs/docs/integrations/vectorstores/convex.mdx b/docs/core_docs/docs/integrations/vectorstores/convex.mdx
index 97c7d85c9058..9ea6b08b8711 100644
--- a/docs/core_docs/docs/integrations/vectorstores/convex.mdx
+++ b/docs/core_docs/docs/integrations/vectorstores/convex.mdx
@@ -51,7 +51,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @langchain/openai @langchain/community
+npm install @langchain/openai @langchain/community @langchain/core
 ```
 
 ### Ingestion
diff --git a/docs/core_docs/docs/integrations/vectorstores/couchbase.mdx b/docs/core_docs/docs/integrations/vectorstores/couchbase.mdx
index 88878de81aad..912638369b7b 100644
--- a/docs/core_docs/docs/integrations/vectorstores/couchbase.mdx
+++ b/docs/core_docs/docs/integrations/vectorstores/couchbase.mdx
@@ -19,7 +19,7 @@ This tutorial explains how to use Vector Search in Couchbase. You can work with
 You will need couchbase and langchain community to use couchbase vector store. For this tutorial, we will use OpenAI embeddings
 
 ```bash npm2yarn
-npm install couchbase @langchain/openai @langchain/community
+npm install couchbase @langchain/openai @langchain/community @langchain/core
 ```
 
 ## Create Couchbase Connection Object
diff --git a/docs/core_docs/docs/integrations/vectorstores/elasticsearch.ipynb b/docs/core_docs/docs/integrations/vectorstores/elasticsearch.ipynb
index 231c4c958977..b8c6fd1339ab 100644
--- a/docs/core_docs/docs/integrations/vectorstores/elasticsearch.ipynb
+++ b/docs/core_docs/docs/integrations/vectorstores/elasticsearch.ipynb
@@ -45,7 +45,7 @@
     "\n",
     "### Integration details\n",
     "\n",
-    "| Class | Package | [PY support](https://python.langchain.com/v0.2/docs/integrations/vectorstores/elasticsearch/) |  Package latest |\n",
+    "| Class | Package | [PY support](https://python.langchain.com/docs/integrations/vectorstores/elasticsearch/) |  Package latest |\n",
     "| :--- | :--- | :---: | :---: |\n",
     "| [`ElasticVectorSearch`](https://api.js.langchain.com/classes/langchain_community_vectorstores_elasticsearch.ElasticVectorSearch.html) | [`@langchain/community`](https://www.npmjs.com/package/@langchain/community) | ✅ |  ![NPM - Version](https://img.shields.io/npm/v/@langchain/community?style=flat-square&label=%20&) |"
    ]
@@ -70,7 +70,7 @@
     "<IntegrationInstallTooltip></IntegrationInstallTooltip>\n",
     "\n",
     "<Npm2Yarn>\n",
-    "  @langchain/community @elastic/elasticsearch @langchain/openai\n",
+    "  @langchain/community @elastic/elasticsearch @langchain/openai @langchain/core\n",
     "</Npm2Yarn>\n",
     "```\n",
     "\n",
diff --git a/docs/core_docs/docs/integrations/vectorstores/faiss.ipynb b/docs/core_docs/docs/integrations/vectorstores/faiss.ipynb
index 2d2fe01c7faf..5a696b45e0d4 100644
--- a/docs/core_docs/docs/integrations/vectorstores/faiss.ipynb
+++ b/docs/core_docs/docs/integrations/vectorstores/faiss.ipynb
@@ -69,7 +69,7 @@
     "<IntegrationInstallTooltip></IntegrationInstallTooltip>\n",
     "\n",
     "<Npm2Yarn>\n",
-    "  @langchain/community faiss-node @langchain/openai\n",
+    "  @langchain/community faiss-node @langchain/openai @langchain/core\n",
     "</Npm2Yarn>\n",
     "```\n",
     "\n",
diff --git a/docs/core_docs/docs/integrations/vectorstores/googlevertexai.mdx b/docs/core_docs/docs/integrations/vectorstores/googlevertexai.mdx
index 55c6e140bfc3..3c96948fbfe7 100644
--- a/docs/core_docs/docs/integrations/vectorstores/googlevertexai.mdx
+++ b/docs/core_docs/docs/integrations/vectorstores/googlevertexai.mdx
@@ -37,7 +37,7 @@ Google Cloud using one of these methods:
 Install the authentication library with:
 
 ```bash npm2yarn
-npm install google-auth-library
+npm install @langchain/community @langchain/core google-auth-library
 ```
 
 The Matching Engine does not store the actual document contents, only embeddings. Therefore, you'll
diff --git a/docs/core_docs/docs/integrations/vectorstores/hanavector.mdx b/docs/core_docs/docs/integrations/vectorstores/hanavector.mdx
index 55861122fab2..3d1a23eef46c 100644
--- a/docs/core_docs/docs/integrations/vectorstores/hanavector.mdx
+++ b/docs/core_docs/docs/integrations/vectorstores/hanavector.mdx
@@ -11,9 +11,9 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install -S @langchain/community @sap/hana-client
+npm install -S @langchain/community @langchain/core @sap/hana-client
 # or
-npm install -S @langchain/community hdb
+npm install -S @langchain/community @langchain/core hdb
 ```
 
 You'll also need to have database connection to a HANA Cloud instance.
diff --git a/docs/core_docs/docs/integrations/vectorstores/hnswlib.ipynb b/docs/core_docs/docs/integrations/vectorstores/hnswlib.ipynb
index 25b688bc82a4..44ba0e864590 100644
--- a/docs/core_docs/docs/integrations/vectorstores/hnswlib.ipynb
+++ b/docs/core_docs/docs/integrations/vectorstores/hnswlib.ipynb
@@ -65,7 +65,7 @@
     "<IntegrationInstallTooltip></IntegrationInstallTooltip>\n",
     "\n",
     "<Npm2Yarn>\n",
-    "  @langchain/community hnswlib-node @langchain/openai\n",
+    "  @langchain/community hnswlib-node @langchain/openai @langchain/core\n",
     "</Npm2Yarn>\n",
     "```\n",
     "\n",
diff --git a/docs/core_docs/docs/integrations/vectorstores/lancedb.mdx b/docs/core_docs/docs/integrations/vectorstores/lancedb.mdx
index 8cc1b2cc401c..aa3511ceac26 100644
--- a/docs/core_docs/docs/integrations/vectorstores/lancedb.mdx
+++ b/docs/core_docs/docs/integrations/vectorstores/lancedb.mdx
@@ -23,7 +23,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @langchain/openai @langchain/community
+npm install @langchain/openai @langchain/community @langchain/core
 ```
 
 ## Usage
diff --git a/docs/core_docs/docs/integrations/vectorstores/memory.ipynb b/docs/core_docs/docs/integrations/vectorstores/memory.ipynb
index 923ac8d2a746..df44dbbfeb20 100644
--- a/docs/core_docs/docs/integrations/vectorstores/memory.ipynb
+++ b/docs/core_docs/docs/integrations/vectorstores/memory.ipynb
@@ -60,7 +60,7 @@
     "<IntegrationInstallTooltip></IntegrationInstallTooltip>\n",
     "\n",
     "<Npm2Yarn>\n",
-    "  langchain @langchain/openai\n",
+    "  langchain @langchain/openai @langchain/core\n",
     "</Npm2Yarn>\n",
     "```\n",
     "\n",
diff --git a/docs/core_docs/docs/integrations/vectorstores/milvus.mdx b/docs/core_docs/docs/integrations/vectorstores/milvus.mdx
index 35e712de1f04..a10612de362c 100644
--- a/docs/core_docs/docs/integrations/vectorstores/milvus.mdx
+++ b/docs/core_docs/docs/integrations/vectorstores/milvus.mdx
@@ -48,7 +48,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @langchain/openai
+npm install @langchain/openai @langchain/core
 ```
 
 ```typescript
diff --git a/docs/core_docs/docs/integrations/vectorstores/momento_vector_index.mdx b/docs/core_docs/docs/integrations/vectorstores/momento_vector_index.mdx
index ac651390d2ec..34c01796f81b 100644
--- a/docs/core_docs/docs/integrations/vectorstores/momento_vector_index.mdx
+++ b/docs/core_docs/docs/integrations/vectorstores/momento_vector_index.mdx
@@ -44,7 +44,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @langchain/openai @langchain/community
+npm install @langchain/openai @langchain/community @langchain/core
 ```
 
 ### Index documents using `fromTexts` and search
diff --git a/docs/core_docs/docs/integrations/vectorstores/mongodb_atlas.ipynb b/docs/core_docs/docs/integrations/vectorstores/mongodb_atlas.ipynb
index 2f4b738372f6..df112e73991b 100644
--- a/docs/core_docs/docs/integrations/vectorstores/mongodb_atlas.ipynb
+++ b/docs/core_docs/docs/integrations/vectorstores/mongodb_atlas.ipynb
@@ -46,7 +46,7 @@
     "\n",
     "### Integration details\n",
     "\n",
-    "| Class | Package | [PY support](https://python.langchain.com/v0.2/docs/integrations/vectorstores/mongodb_atlas/) |  Package latest |\n",
+    "| Class | Package | [PY support](https://python.langchain.com/docs/integrations/vectorstores/mongodb_atlas/) |  Package latest |\n",
     "| :--- | :--- | :---: | :---: |\n",
     "| [`MongoDBAtlasVectorSearch`](https://api.js.langchain.com/classes/langchain_mongodb.MongoDBAtlasVectorSearch.html) | [`@langchain/mongodb`](https://www.npmjs.com/package/@langchain/mongodb) | ✅ | ![NPM - Version](https://img.shields.io/npm/v/@langchain/mongodb?style=flat-square&label=%20&) |"
    ]
@@ -108,7 +108,7 @@
     "<IntegrationInstallTooltip></IntegrationInstallTooltip>\n",
     "\n",
     "<Npm2Yarn>\n",
-    "  @langchain/mongodb mongodb @langchain/openai\n",
+    "  @langchain/mongodb mongodb @langchain/openai @langchain/core\n",
     "</Npm2Yarn>\n",
     "```\n",
     "\n",
diff --git a/docs/core_docs/docs/integrations/vectorstores/myscale.mdx b/docs/core_docs/docs/integrations/vectorstores/myscale.mdx
index c13435f153fc..a07afe1018c1 100644
--- a/docs/core_docs/docs/integrations/vectorstores/myscale.mdx
+++ b/docs/core_docs/docs/integrations/vectorstores/myscale.mdx
@@ -23,7 +23,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install -S @langchain/openai @clickhouse/client @langchain/community
+npm install -S @langchain/openai @clickhouse/client @langchain/community @langchain/core
 ```
 
 ## Index and Query Docs
diff --git a/docs/core_docs/docs/integrations/vectorstores/neo4jvector.mdx b/docs/core_docs/docs/integrations/vectorstores/neo4jvector.mdx
index e83ff6d74ce5..b4864b8fecbd 100644
--- a/docs/core_docs/docs/integrations/vectorstores/neo4jvector.mdx
+++ b/docs/core_docs/docs/integrations/vectorstores/neo4jvector.mdx
@@ -20,7 +20,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @langchain/openai @langchain/community
+npm install @langchain/openai @langchain/community @langchain/core
 ```
 
 ### Setup a `Neo4j` self hosted instance with `docker-compose`
diff --git a/docs/core_docs/docs/integrations/vectorstores/neon.mdx b/docs/core_docs/docs/integrations/vectorstores/neon.mdx
index 048db6a27ed2..a15758a9d087 100644
--- a/docs/core_docs/docs/integrations/vectorstores/neon.mdx
+++ b/docs/core_docs/docs/integrations/vectorstores/neon.mdx
@@ -35,7 +35,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @langchain/community
+npm install @langchain/community @langchain/core
 ```
 
 To initialize a `NeonPostgres` vectorstore, you need to provide your Neon database connection string. You can use the connection string
diff --git a/docs/core_docs/docs/integrations/vectorstores/opensearch.mdx b/docs/core_docs/docs/integrations/vectorstores/opensearch.mdx
index 1275e51daf18..62c33165b26c 100644
--- a/docs/core_docs/docs/integrations/vectorstores/opensearch.mdx
+++ b/docs/core_docs/docs/integrations/vectorstores/opensearch.mdx
@@ -20,7 +20,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install -S @langchain/openai @opensearch-project/opensearch
+npm install -S @langchain/openai @langchain/core @opensearch-project/opensearch
 ```
 
 You'll also need to have an OpenSearch instance running. You can use the [official Docker image](https://opensearch.org/docs/latest/opensearch/install/docker/) to get started. You can also find an example docker-compose file [here](https://github.com/langchain-ai/langchainjs/blob/main/examples/src/indexes/vector_stores/opensearch/docker-compose.yml).
diff --git a/docs/core_docs/docs/integrations/vectorstores/pgvector.ipynb b/docs/core_docs/docs/integrations/vectorstores/pgvector.ipynb
index 19f0a2690373..702f45a3eda8 100644
--- a/docs/core_docs/docs/integrations/vectorstores/pgvector.ipynb
+++ b/docs/core_docs/docs/integrations/vectorstores/pgvector.ipynb
@@ -42,7 +42,7 @@
     "\n",
     "### Integration details\n",
     "\n",
-    "| Class | Package | [PY support](https://python.langchain.com/v0.2/docs/integrations/vectorstores/pgvector/) | Package latest |\n",
+    "| Class | Package | [PY support](https://python.langchain.com/docs/integrations/vectorstores/pgvector/) | Package latest |\n",
     "| :--- | :--- | :---: | :---: |\n",
     "| [`PGVectorStore`](https://api.js.langchain.com/classes/langchain_community_vectorstores_pgvector.PGVectorStore.html) | [`@langchain/community`](https://npmjs.com/@langchain/community) | ✅ | ![NPM - Version](https://img.shields.io/npm/v/@langchain/community?style=flat-square&label=%20&) |"
    ]
@@ -67,7 +67,7 @@
     "<IntegrationInstallTooltip></IntegrationInstallTooltip>\n",
     "\n",
     "<Npm2Yarn>\n",
-    "  @langchain/community pg @langchain/openai uuid\n",
+    "  @langchain/community @langchain/openai @langchain/core pg uuid\n",
     "</Npm2Yarn>\n",
     "```\n",
     "\n",
diff --git a/docs/core_docs/docs/integrations/vectorstores/pinecone.ipynb b/docs/core_docs/docs/integrations/vectorstores/pinecone.ipynb
index d209cff67ce9..16cae8ead6ca 100644
--- a/docs/core_docs/docs/integrations/vectorstores/pinecone.ipynb
+++ b/docs/core_docs/docs/integrations/vectorstores/pinecone.ipynb
@@ -35,7 +35,7 @@
     "\n",
     "### Integration details\n",
     "\n",
-    "| Class | Package | [PY support](https://python.langchain.com/v0.2/docs/integrations/vectorstores/pinecone/) | Package latest |\n",
+    "| Class | Package | [PY support](https://python.langchain.com/docs/integrations/vectorstores/pinecone/) | Package latest |\n",
     "| :--- | :--- | :---: | :---: |\n",
     "| [`PineconeStore`](https://api.js.langchain.com/classes/langchain_pinecone.PineconeStore.html) | [`@langchain/pinecone`](https://npmjs.com/@langchain/pinecone) | ✅ |  ![NPM - Version](https://img.shields.io/npm/v/@langchain/pinecone?style=flat-square&label=%20&) |"
    ]
@@ -58,7 +58,7 @@
     "<IntegrationInstallTooltip></IntegrationInstallTooltip>\n",
     "\n",
     "<Npm2Yarn>\n",
-    "  @langchain/pinecone @pinecone-database/pinecone @langchain/openai\n",
+    "  @langchain/pinecone @langchain/openai @langchain/core @pinecone-database/pinecone \n",
     "</Npm2Yarn>\n",
     "```\n",
     "\n",
diff --git a/docs/core_docs/docs/integrations/vectorstores/prisma.mdx b/docs/core_docs/docs/integrations/vectorstores/prisma.mdx
index b8f479629337..dbddae9e556c 100644
--- a/docs/core_docs/docs/integrations/vectorstores/prisma.mdx
+++ b/docs/core_docs/docs/integrations/vectorstores/prisma.mdx
@@ -76,7 +76,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @langchain/openai @langchain/community
+npm install @langchain/openai @langchain/community @langchain/core
 ```
 
 :::warning
diff --git a/docs/core_docs/docs/integrations/vectorstores/qdrant.ipynb b/docs/core_docs/docs/integrations/vectorstores/qdrant.ipynb
index 2fcd92d82813..9ea4f1d4a646 100644
--- a/docs/core_docs/docs/integrations/vectorstores/qdrant.ipynb
+++ b/docs/core_docs/docs/integrations/vectorstores/qdrant.ipynb
@@ -42,7 +42,7 @@
     "\n",
     "### Integration details\n",
     "\n",
-    "| Class | Package | [PY support](https://python.langchain.com/v0.2/docs/integrations/vectorstores/qdrant/) |  Package latest |\n",
+    "| Class | Package | [PY support](https://python.langchain.com/docs/integrations/vectorstores/qdrant/) |  Package latest |\n",
     "| :--- | :--- | :---: | :---: |\n",
     "| [`QdrantVectorStore`](https://api.js.langchain.com/classes/langchain_qdrant.QdrantVectorStore.html) | [`@langchain/qdrant`](https://npmjs.com/@langchain/qdrant) | ✅ |  ![NPM - Version](https://img.shields.io/npm/v/@langchain/qdrant?style=flat-square&label=%20&) |"
    ]
@@ -65,7 +65,7 @@
     "<IntegrationInstallTooltip></IntegrationInstallTooltip>\n",
     "\n",
     "<Npm2Yarn>\n",
-    "  @langchain/qdrant @langchain/openai\n",
+    "  @langchain/qdrant @langchain/core @langchain/openai\n",
     "</Npm2Yarn>\n",
     "```\n",
     "\n",
diff --git a/docs/core_docs/docs/integrations/vectorstores/redis.ipynb b/docs/core_docs/docs/integrations/vectorstores/redis.ipynb
index f47baffc7e8e..e31f74a9aa2e 100644
--- a/docs/core_docs/docs/integrations/vectorstores/redis.ipynb
+++ b/docs/core_docs/docs/integrations/vectorstores/redis.ipynb
@@ -42,7 +42,7 @@
     "\n",
     "### Integration details\n",
     "\n",
-    "| Class | Package | [PY support](https://python.langchain.com/v0.2/docs/integrations/vectorstores/redis/) |  Package latest |\n",
+    "| Class | Package | [PY support](https://python.langchain.com/docs/integrations/vectorstores/redis/) |  Package latest |\n",
     "| :--- | :--- | :---: | :---: |\n",
     "| [`RedisVectorStore`](https://api.js.langchain.com/classes/langchain_redis.RedisVectorStore.html) | [`@langchain/redis`](https://npmjs.com/@langchain/redis/) | ✅ |  ![NPM - Version](https://img.shields.io/npm/v/@langchain/redis?style=flat-square&label=%20&) |"
    ]
@@ -65,7 +65,7 @@
     "<IntegrationInstallTooltip></IntegrationInstallTooltip>\n",
     "\n",
     "<Npm2Yarn>\n",
-    "  @langchain/redis redis @langchain/openai\n",
+    "  @langchain/redis @langchain/core redis @langchain/openai\n",
     "</Npm2Yarn>\n",
     "```\n",
     "\n",
diff --git a/docs/core_docs/docs/integrations/vectorstores/rockset.mdx b/docs/core_docs/docs/integrations/vectorstores/rockset.mdx
index 6be24a678295..680d227b2af1 100644
--- a/docs/core_docs/docs/integrations/vectorstores/rockset.mdx
+++ b/docs/core_docs/docs/integrations/vectorstores/rockset.mdx
@@ -24,7 +24,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @langchain/openai @langchain/community
+npm install @langchain/openai @langchain/core @langchain/community
 ```
 
 import UsageExample from "@examples/indexes/vector_stores/rockset.ts";
diff --git a/docs/core_docs/docs/integrations/vectorstores/singlestore.mdx b/docs/core_docs/docs/integrations/vectorstores/singlestore.mdx
index f8ad18462e72..84acda3e09cd 100644
--- a/docs/core_docs/docs/integrations/vectorstores/singlestore.mdx
+++ b/docs/core_docs/docs/integrations/vectorstores/singlestore.mdx
@@ -44,7 +44,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @langchain/openai @langchain/community
+npm install @langchain/openai @langchain/community @langchain/core
 ```
 
 import UsageExample from "@examples/indexes/vector_stores/singlestore.ts";
diff --git a/docs/core_docs/docs/integrations/vectorstores/supabase.ipynb b/docs/core_docs/docs/integrations/vectorstores/supabase.ipynb
index 20145dca81ed..70a98dad4e46 100644
--- a/docs/core_docs/docs/integrations/vectorstores/supabase.ipynb
+++ b/docs/core_docs/docs/integrations/vectorstores/supabase.ipynb
@@ -37,7 +37,7 @@
     "\n",
     "### Integration details\n",
     "\n",
-    "| Class | Package | [PY support](https://python.langchain.com/v0.2/docs/integrations/vectorstores/supabase/) |  Package latest |\n",
+    "| Class | Package | [PY support](https://python.langchain.com/docs/integrations/vectorstores/supabase/) |  Package latest |\n",
     "| :--- | :--- | :---: | :---: |\n",
     "| [`SupabaseVectorStore`](https://api.js.langchain.com/classes/langchain_community_vectorstores_supabase.SupabaseVectorStore.html) | [`@langchain/community`](https://npmjs.com/@langchain/community) | ✅ |  ![NPM - Version](https://img.shields.io/npm/v/@langchain/community?style=flat-square&label=%20&) |"
    ]
@@ -60,7 +60,7 @@
     "<IntegrationInstallTooltip></IntegrationInstallTooltip>\n",
     "\n",
     "<Npm2Yarn>\n",
-    "  @langchain/community @supabase/supabase-js @langchain/openai\n",
+    "  @langchain/community @langchain/core @supabase/supabase-js @langchain/openai\n",
     "</Npm2Yarn>\n",
     "```\n",
     "\n",
diff --git a/docs/core_docs/docs/integrations/vectorstores/typeorm.mdx b/docs/core_docs/docs/integrations/vectorstores/typeorm.mdx
index d6ed0677d4e8..0a77acc5f652 100644
--- a/docs/core_docs/docs/integrations/vectorstores/typeorm.mdx
+++ b/docs/core_docs/docs/integrations/vectorstores/typeorm.mdx
@@ -19,7 +19,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @langchain/openai @langchain/community
+npm install @langchain/openai @langchain/community @langchain/core
 ```
 
 ### Setup a `pgvector` self hosted instance with `docker-compose`
diff --git a/docs/core_docs/docs/integrations/vectorstores/typesense.mdx b/docs/core_docs/docs/integrations/vectorstores/typesense.mdx
index 5b28c202855d..9c34a224be8d 100644
--- a/docs/core_docs/docs/integrations/vectorstores/typesense.mdx
+++ b/docs/core_docs/docs/integrations/vectorstores/typesense.mdx
@@ -9,7 +9,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @langchain/openai @langchain/community
+npm install @langchain/openai @langchain/community @langchain/core
 ```
 
 ```typescript
diff --git a/docs/core_docs/docs/integrations/vectorstores/upstash.ipynb b/docs/core_docs/docs/integrations/vectorstores/upstash.ipynb
index 15c1d8b82ecf..03205093d5e4 100644
--- a/docs/core_docs/docs/integrations/vectorstores/upstash.ipynb
+++ b/docs/core_docs/docs/integrations/vectorstores/upstash.ipynb
@@ -35,7 +35,7 @@
     "\n",
     "### Integration details\n",
     "\n",
-    "| Class | Package | [PY support](https://python.langchain.com/v0.2/docs/integrations/vectorstores/upstash/) |  Package latest |\n",
+    "| Class | Package | [PY support](https://python.langchain.com/docs/integrations/vectorstores/upstash/) |  Package latest |\n",
     "| :--- | :--- | :---: | :---: |\n",
     "| [`UpstashVectorStore`](https://api.js.langchain.com/classes/langchain_community_vectorstores_upstash.UpstashVectorStore.html) | [`@langchain/community`](https://npmjs.com/@langchain/community) | ✅ |  ![NPM - Version](https://img.shields.io/npm/v/@langchain/community?style=flat-square&label=%20&) |"
    ]
@@ -58,7 +58,7 @@
     "<IntegrationInstallTooltip></IntegrationInstallTooltip>\n",
     "\n",
     "<Npm2Yarn>\n",
-    "  @langchain/community @upstash/vector @langchain/openai\n",
+    "  @langchain/community @langchain/core @upstash/vector @langchain/openai\n",
     "</Npm2Yarn>\n",
     "```\n",
     "\n",
diff --git a/docs/core_docs/docs/integrations/vectorstores/usearch.mdx b/docs/core_docs/docs/integrations/vectorstores/usearch.mdx
index daf94caffc8c..d8ff8dad5c56 100644
--- a/docs/core_docs/docs/integrations/vectorstores/usearch.mdx
+++ b/docs/core_docs/docs/integrations/vectorstores/usearch.mdx
@@ -25,7 +25,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @langchain/openai @langchain/community
+npm install @langchain/openai @langchain/community @langchain/core
 ```
 
 ## Usage
diff --git a/docs/core_docs/docs/integrations/vectorstores/vercel_postgres.mdx b/docs/core_docs/docs/integrations/vectorstores/vercel_postgres.mdx
index 784249802249..4134fb5bf2be 100644
--- a/docs/core_docs/docs/integrations/vectorstores/vercel_postgres.mdx
+++ b/docs/core_docs/docs/integrations/vectorstores/vercel_postgres.mdx
@@ -18,7 +18,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @langchain/community
+npm install @langchain/community @langchain/core
 ```
 
 This integration automatically connects using the connection string set under `process.env.POSTGRES_URL`.
diff --git a/docs/core_docs/docs/integrations/vectorstores/voy.mdx b/docs/core_docs/docs/integrations/vectorstores/voy.mdx
index 1058a348c5fe..e8d87ab6b854 100644
--- a/docs/core_docs/docs/integrations/vectorstores/voy.mdx
+++ b/docs/core_docs/docs/integrations/vectorstores/voy.mdx
@@ -12,7 +12,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @langchain/openai voy-search @langchain/community
+npm install @langchain/openai voy-search @langchain/community @langchain/core
 ```
 
 ## Usage
diff --git a/docs/core_docs/docs/integrations/vectorstores/weaviate.ipynb b/docs/core_docs/docs/integrations/vectorstores/weaviate.ipynb
index bacdc87c92fb..7d12439565db 100644
--- a/docs/core_docs/docs/integrations/vectorstores/weaviate.ipynb
+++ b/docs/core_docs/docs/integrations/vectorstores/weaviate.ipynb
@@ -35,7 +35,7 @@
     "\n",
     "### Integration details\n",
     "\n",
-    "| Class | Package | [PY support](https://python.langchain.com/v0.2/docs/integrations/vectorstores/weaviate/) |  Package latest |\n",
+    "| Class | Package | [PY support](https://python.langchain.com/docs/integrations/vectorstores/weaviate/) |  Package latest |\n",
     "| :--- | :--- | :---: | :---: |\n",
     "| [`WeaviateStore`](https://api.js.langchain.com/classes/langchain_weaviate.WeaviateStore.html) | [`@langchain/weaviate`](https://npmjs.com/@langchain/weaviate) | ✅ |  ![NPM - Version](https://img.shields.io/npm/v/@langchain/weaviate?style=flat-square&label=%20&) |"
    ]
@@ -58,7 +58,7 @@
     "<IntegrationInstallTooltip></IntegrationInstallTooltip>\n",
     "\n",
     "<Npm2Yarn>\n",
-    "  @langchain/weaviate weaviate-ts-client uuid @langchain/openai\n",
+    "  @langchain/weaviate @langchain/core weaviate-ts-client uuid @langchain/openai\n",
     "</Npm2Yarn>\n",
     "```\n",
     "\n",
diff --git a/docs/core_docs/docs/integrations/vectorstores/xata.mdx b/docs/core_docs/docs/integrations/vectorstores/xata.mdx
index a84e14e71323..2cf91ba7345c 100644
--- a/docs/core_docs/docs/integrations/vectorstores/xata.mdx
+++ b/docs/core_docs/docs/integrations/vectorstores/xata.mdx
@@ -38,7 +38,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @langchain/openai @langchain/community
+npm install @langchain/openai @langchain/community @langchain/core
 ```
 
 import CodeBlock from "@theme/CodeBlock";
diff --git a/docs/core_docs/docs/integrations/vectorstores/zep.mdx b/docs/core_docs/docs/integrations/vectorstores/zep.mdx
index f7aeacf4ae9f..6a0565ed3e26 100644
--- a/docs/core_docs/docs/integrations/vectorstores/zep.mdx
+++ b/docs/core_docs/docs/integrations/vectorstores/zep.mdx
@@ -44,7 +44,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @langchain/openai @langchain/community
+npm install @langchain/openai @langchain/community @langchain/core
 ```
 
 import ExampleDocs from "@examples/indexes/vector_stores/zep/zep_from_docs.ts";
diff --git a/docs/core_docs/docs/integrations/vectorstores/zep_cloud.mdx b/docs/core_docs/docs/integrations/vectorstores/zep_cloud.mdx
index 18bd4beb19b0..d6378b7073fe 100644
--- a/docs/core_docs/docs/integrations/vectorstores/zep_cloud.mdx
+++ b/docs/core_docs/docs/integrations/vectorstores/zep_cloud.mdx
@@ -41,7 +41,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 ### Example: Creating a ZepVectorStore from Documents & Querying
 
 ```bash npm2yarn
-npm install @getzep/zep-cloud @langchain/openai @langchain/community
+npm install @getzep/zep-cloud @langchain/openai @langchain/community @langchain/core
 ```
 
 import ZepCloudVectorStoreExample from "@examples/indexes/vector_stores/zep/zep_cloud.ts";
diff --git a/docs/core_docs/docs/introduction.mdx b/docs/core_docs/docs/introduction.mdx
index a3da34492e91..501cebfbaa7e 100644
--- a/docs/core_docs/docs/introduction.mdx
+++ b/docs/core_docs/docs/introduction.mdx
@@ -11,7 +11,7 @@ LangChain simplifies every stage of the LLM application lifecycle:
 - **Development**: Build your applications using LangChain's open-source [building blocks](/docs/concepts#langchain-expression-language), [components](/docs/concepts), and [third-party integrations](/docs/integrations/platforms/).
   Use [LangGraph.js](/docs/concepts/#langgraphjs) to build stateful agents with first-class streaming and human-in-the-loop support.
 - **Productionization**: Use [LangSmith](https://docs.smith.langchain.com/) to inspect, monitor and evaluate your chains, so that you can continuously optimize and deploy with confidence.
-- **Deployment**: Turn your LangGraph applications into production-ready APIs and Assistants with [LangGraph Cloud](https://langchain-ai.github.io/langgraph/cloud/) (currently Python-only).
+- **Deployment**: Turn your LangGraph applications into production-ready APIs and Assistants with [LangGraph Cloud](https://langchain-ai.github.io/langgraph/cloud/).
 
 import ThemedImage from "@theme/ThemedImage";
 import useBaseUrl from "@docusaurus/useBaseUrl";
@@ -50,7 +50,7 @@ These are the best ones to get started with:
 
 - [Build a Simple LLM Application](/docs/tutorials/llm_chain)
 - [Build a Chatbot](/docs/tutorials/chatbot)
-- [Build an Agent](/docs/tutorials/agents)
+- [Build an Agent](https://langchain-ai.github.io/langgraphjs/tutorials/quickstart/)
 - [LangGraph.js quickstart](https://langchain-ai.github.io/langgraphjs/tutorials/quickstart/)
 
 Explore the full list of LangChain tutorials [here](/docs/tutorials), and check out other [LangGraph tutorials here](https://langchain-ai.github.io/langgraphjs/tutorials/).
@@ -58,7 +58,7 @@ Explore the full list of LangChain tutorials [here](/docs/tutorials), and check
 ## [How-To Guides](/docs/how_to/)
 
 [Here](/docs/how_to/) you'll find short answers to “How do I….?” types of questions.
-These how-to guides don't cover topics in depth - you'll find that material in the [Tutorials](/docs/tutorials) and the [API Reference](https://v02.api.js.langchain.com).
+These how-to guides don't cover topics in depth - you'll find that material in the [Tutorials](/docs/tutorials) and the [API Reference](https://api.js.langchain.com).
 However, these guides will help you quickly accomplish common tasks.
 
 Check out [LangGraph-specific how-tos here](https://langchain-ai.github.io/langgraphjs/how-tos/).
diff --git a/docs/core_docs/docs/mdx_components/integration_install_tooltip.mdx b/docs/core_docs/docs/mdx_components/integration_install_tooltip.mdx
index ecb5c6560494..9187c8db4d87 100644
--- a/docs/core_docs/docs/mdx_components/integration_install_tooltip.mdx
+++ b/docs/core_docs/docs/mdx_components/integration_install_tooltip.mdx
@@ -1,3 +1,3 @@
 :::tip
-See [this section for general instructions on installing integration packages](/v0.2/docs/how_to/installation#installing-integration-packages).
+See [this section for general instructions on installing integration packages](/docs/how_to/installation#installing-integration-packages).
 :::
diff --git a/docs/core_docs/docs/tutorials/agents.mdx b/docs/core_docs/docs/tutorials/agents.mdx
deleted file mode 100644
index d3c0ad4ef4f0..000000000000
--- a/docs/core_docs/docs/tutorials/agents.mdx
+++ /dev/null
@@ -1,499 +0,0 @@
----
-sidebar_position: 4
----
-
-# Build an Agent
-
-:::info Prerequisites
-
-This guide assumes familiarity with the following concepts:
-
-- [Chat Models](/docs/concepts/#chat-models)
-- [Tools](/docs/concepts/#tools)
-- [Agents](/docs/concepts/#agents)
-
-:::
-
-By themselves, language models can't take actions - they just output text.
-A big use case for LangChain is creating **agents**.
-Agents are systems that use an LLM as a reasoning engine to determine which actions to take and what the inputs to those actions should be.
-The results of those actions can then be fed back into the agent and it determine whether more actions are needed, or whether it is okay to finish.
-
-In this tutorial we will build an agent that can interact with multiple different tools: one being a local database, the other being a search engine. You will be able to ask this agent questions, watch it call tools, and have conversations with it.
-
-## Setup: LangSmith
-
-By definition, agents take a self-determined, input-dependent sequence of steps before returning a user-facing output. This makes debugging these systems particularly tricky, and observability particularly important.
-[LangSmith](https://smith.langchain.com) is especially useful for such cases.
-
-When building with LangChain, all steps will automatically be traced in LangSmith. To set up LangSmith we just need to set the following environment variables:
-
-```bash
-export LANGCHAIN_TRACING_V2="true"
-export LANGCHAIN_API_KEY="<your-api-key>"
-
-# Reduce tracing latency if you are not in a serverless environment
-# export LANGCHAIN_CALLBACKS_BACKGROUND=true
-```
-
-## Define tools
-
-We first need to create the tools we want to use. We will use two tools: [Tavily](https://app.tavily.com) (to search online) and then a retriever over a local index we will create.
-
-### [Tavily](https://app.tavily.com)
-
-We have a built-in tool in LangChain to easily use Tavily search engine as a tool.
-Note that this requires a Tavily API key set as an environment variable named `TAVILY_API_KEY` - they have a free tier, but if you don’t have one or don’t want to create one, you can always ignore this step.
-
-```typescript
-import { TavilySearchResults } from "@langchain/community/tools/tavily_search";
-
-const searchTool = new TavilySearchResults();
-
-const toolResult = await searchTool.invoke("what is the weather in SF?");
-
-console.log(toolResult);
-
-/*
-  [{"title":"Weather in December 2023 in San Francisco, California, USA","url":"https://www.timeanddate.com/weather/@5391959/historic?month=12&year=2023","content":"Currently: 52 °F. Broken clouds. (Weather station: San Francisco International Airport, USA). See more current weather Select month: December 2023 Weather in San Francisco — Graph °F Sun, Dec 17 Lo:55 6 pm Hi:57 4 Mon, Dec 18 Lo:54 12 am Hi:55 7 Lo:54 6 am Hi:55 10 Lo:57 12 pm Hi:64 9 Lo:63 6 pm Hi:64 14 Tue, Dec 19 Lo:61","score":0.96006},...]
-*/
-```
-
-### Retriever
-
-We will also create a retriever over some data of our own. For a deeper explanation of each step here, see our [how to guides](/docs/how_to/).
-
-```typescript
-import { RecursiveCharacterTextSplitter } from "langchain/text_splitter";
-import { CheerioWebBaseLoader } from "@langchain/community/document_loaders/web/cheerio";
-import { MemoryVectorStore } from "langchain/vectorstores/memory";
-import { OpenAIEmbeddings } from "@langchain/openai";
-
-const loader = new CheerioWebBaseLoader(
-  "https://docs.smith.langchain.com/user_guide"
-);
-const rawDocs = await loader.load();
-
-const splitter = new RecursiveCharacterTextSplitter({
-  chunkSize: 1000,
-  chunkOverlap: 200,
-});
-const docs = await splitter.splitDocuments(rawDocs);
-
-const vectorstore = await MemoryVectorStore.fromDocuments(
-  docs,
-  new OpenAIEmbeddings()
-);
-const retriever = vectorstore.asRetriever();
-
-const retrieverResult = await retriever.invoke("how to upload a dataset");
-console.log(retrieverResult[0]);
-
-/*
-  Document {
-    pageContent: "your application progresses through the beta testing phase, it's essential to continue collecting data to refine and improve its performance. LangSmith enables you to add runs as examples to datasets (from both the project page and within an annotation queue), expanding your test coverage on real-world scenarios. This is a key benefit in having your logging system and your evaluation/testing system in the same platform.Production​Closely inspecting key data points, growing benchmarking datasets, annotating traces, and drilling down into important data in trace view are workflows you’ll also want to do once your app hits production. However, especially at the production stage, it’s crucial to get a high-level overview of application performance with respect to latency, cost, and feedback scores. This ensures that it's delivering desirable results at scale.Monitoring and A/B Testing​LangSmith provides monitoring charts that allow you to track key metrics over time. You can expand to",
-    metadata: {
-      source: 'https://docs.smith.langchain.com/user_guide',
-      loc: { lines: [Object] }
-    }
-  }
-*/
-```
-
-Now that we have populated our index that we will be doing retrieval over, we can easily turn it into a tool (the format needed for an agent to properly use it):
-
-```typescript
-import { createRetrieverTool } from "langchain/tools/retriever";
-
-const retrieverTool = createRetrieverTool(retriever, {
-  name: "langsmith_search",
-  description:
-    "Search for information about LangSmith. For any questions about LangSmith, you must use this tool!",
-});
-```
-
-### Tools
-
-Now that we have created both, we can create a list of tools that we will use downstream:
-
-```typescript
-const tools = [searchTool, retrieverTool];
-```
-
-## Create the agent
-
-Now that we have defined the tools, we can create the agent. We will be using an OpenAI Functions agent - for more information on this type of agent, as well as other options, see [this guide](https://js.langchain.com/v0.1/docs/modules/agents/agent_types/).
-
-First, we choose the LLM we want to be guiding the agent.
-
-```typescript
-import { ChatOpenAI } from "@langchain/openai";
-
-const llm = new ChatOpenAI({
-  model: "gpt-3.5-turbo",
-  temperature: 0,
-});
-```
-
-Next, we choose the prompt we want to use to guide the agent:
-
-```typescript
-import type { ChatPromptTemplate } from "@langchain/core/prompts";
-import { pull } from "langchain/hub";
-
-// Get the prompt to use - you can modify this!
-// If you want to see the prompt in full, you can at:
-// https://smith.langchain.com/hub/hwchase17/openai-functions-agent
-const prompt = await pull<ChatPromptTemplate>(
-  "hwchase17/openai-functions-agent"
-);
-```
-
-Now, we can initalize the agent with the LLM, the prompt, and the tools. The agent is responsible for taking in input and deciding what actions to take.
-Crucially, the Agent does not execute those actions - that is done by the AgentExecutor (next step). For more information about how to think about these components, see our [conceptual guide](/docs/concepts#agents).
-
-```typescript
-import { createOpenAIFunctionsAgent } from "langchain/agents";
-
-const agent = await createOpenAIFunctionsAgent({
-  llm,
-  tools,
-  prompt,
-});
-```
-
-Finally, we combine the agent (the brains) with the tools inside the AgentExecutor (which will repeatedly call the agent and execute tools).
-For more information about how to think about these components, see our [conceptual guide](/docs/concepts#agents).
-
-```typescript
-import { AgentExecutor } from "langchain/agents";
-
-const agentExecutor = new AgentExecutor({
-  agent,
-  tools,
-});
-```
-
-## Run the agent
-
-We can now run the agent on a few queries! Note that for now, these are all stateless queries (it won’t remember previous interactions).
-
-```typescript
-const result1 = await agentExecutor.invoke({
-  input: "hi!",
-});
-
-console.log(result1);
-/*
-  [chain/start] [1:chain:AgentExecutor] Entering Chain run with input: {
-    "input": "hi!"
-  }
-  [chain/end] [1:chain:AgentExecutor] [1.36s] Exiting Chain run with output: {
-    "output": "Hello! How can I assist you today?"
-  }
-  {
-    input: 'hi!',
-    output: 'Hello! How can I assist you today?'
-  }
-*/
-```
-
-```typescript
-const result2 = await agentExecutor.invoke({
-  input: "how can langsmith help with testing?",
-});
-
-console.log(result2);
-
-/*
-  [chain/start] [1:chain:AgentExecutor] Entering Chain run with input: {
-    "input": "how can langsmith help with testing?"
-  }
-  [chain/end] [1:chain:AgentExecutor > 2:chain:RunnableAgent > 7:parser:OpenAIFunctionsAgentOutputParser] [66ms] Exiting Chain run with output: {
-    "tool": "langsmith_search",
-    "toolInput": {
-      "query": "how can LangSmith help with testing?"
-    },
-    "log": "Invoking \"langsmith_search\" with {\"query\":\"how can LangSmith help with testing?\"}\n",
-    "messageLog": [
-      {
-        "lc": 1,
-        "type": "constructor",
-        "id": [
-          "langchain_core",
-          "messages",
-          "AIMessage"
-        ],
-        "kwargs": {
-          "content": "",
-          "additional_kwargs": {
-            "function_call": {
-              "name": "langsmith_search",
-              "arguments": "{\"query\":\"how can LangSmith help with testing?\"}"
-            }
-          }
-        }
-      }
-    ]
-  }
-  [tool/start] [1:chain:AgentExecutor > 8:tool:langsmith_search] Entering Tool run with input: "{"query":"how can LangSmith help with testing?"}"
-  [retriever/start] [1:chain:AgentExecutor > 8:tool:langsmith_search > 9:retriever:VectorStoreRetriever] Entering Retriever run with input: {
-    "query": "how can LangSmith help with testing?"
-  }
-  [retriever/end] [1:chain:AgentExecutor > 8:tool:langsmith_search > 9:retriever:VectorStoreRetriever] [294ms] Exiting Retriever run with output: {
-    "documents": [
-      {
-        "pageContent": "You can also quickly edit examples and add them to datasets to expand the surface area of your evaluation sets or to fine-tune a model for improved quality or reduced costs.Monitoring​After all this, your app might finally ready to go in production. LangSmith can also be used to monitor your application in much the same way that you used for debugging. You can log all traces, visualize latency and token usage statistics, and troubleshoot specific issues as they arise. Each run can also be assigned string tags or key-value metadata, allowing you to attach correlation ids or AB test variants, and filter runs accordingly.We’ve also made it possible to associate feedback programmatically with runs. This means that if your application has a thumbs up/down button on it, you can use that to log feedback back to LangSmith. This can be used to track performance over time and pinpoint under performing data points, which you can subsequently add to a dataset for future testing — mirroring the",
-        "metadata": {
-          "source": "https://docs.smith.langchain.com/user_guide",
-          "loc": {
-            "lines": {
-              "from": 11,
-              "to": 11
-            }
-          }
-        }
-      },
-      {
-        "pageContent": "the time that we do… it’s so helpful. We can use LangSmith to debug:An unexpected end resultWhy an agent is loopingWhy a chain was slower than expectedHow many tokens an agent usedDebugging​Debugging LLMs, chains, and agents can be tough. LangSmith helps solve the following pain points:What was the exact input to the LLM?​LLM calls are often tricky and non-deterministic. The inputs/outputs may seem straightforward, given they are technically string → string (or chat messages → chat message), but this can be misleading as the input string is usually constructed from a combination of user input and auxiliary functions.Most inputs to an LLM call are a combination of some type of fixed template along with input variables. These input variables could come directly from user input or from an auxiliary function (like retrieval). By the time these input variables go into the LLM they will have been converted to a string format, but often times they are not naturally represented as a string",
-        "metadata": {
-          "source": "https://docs.smith.langchain.com/user_guide",
-          "loc": {
-            "lines": {
-              "from": 3,
-              "to": 3
-            }
-          }
-        }
-      },
-      {
-        "pageContent": "inputs, and see what happens. At some point though, our application is performing\nwell and we want to be more rigorous about testing changes. We can use a dataset\nthat we’ve constructed along the way (see above). Alternatively, we could spend some\ntime constructing a small dataset by hand. For these situations, LangSmith simplifies",
-        "metadata": {
-          "source": "https://docs.smith.langchain.com/user_guide",
-          "loc": {
-            "lines": {
-              "from": 4,
-              "to": 7
-            }
-          }
-        }
-      },
-      {
-        "pageContent": "feedback back to LangSmith. This can be used to track performance over time and pinpoint under performing data points, which you can subsequently add to a dataset for future testing — mirroring the debug mode approach.We’ve provided several examples in the LangSmith documentation for extracting insights from logged runs. In addition to guiding you on performing this task yourself, we also provide examples of integrating with third parties for this purpose. We're eager to expand this area in the coming months! If you have ideas for either -- an open-source way to evaluate, or are building a company that wants to do analytics over these runs, please reach out.Exporting datasets​LangSmith makes it easy to curate datasets. However, these aren’t just useful inside LangSmith; they can be exported for use in other contexts. Notable applications include exporting for use in OpenAI Evals or fine-tuning, such as with FireworksAI.To set up tracing in Deno, web browsers, or other runtime",
-        "metadata": {
-          "source": "https://docs.smith.langchain.com/user_guide",
-          "loc": {
-            "lines": {
-              "from": 11,
-              "to": 11
-            }
-          }
-        }
-      }
-    ]
-  }
-  [chain/start] [1:chain:AgentExecutor > 10:chain:RunnableAgent] Entering Chain run with input: {
-    "input": "how can langsmith help with testing?",
-    "steps": [
-      {
-        "action": {
-          "tool": "langsmith_search",
-          "toolInput": {
-            "query": "how can LangSmith help with testing?"
-          },
-          "log": "Invoking \"langsmith_search\" with {\"query\":\"how can LangSmith help with testing?\"}\n",
-          "messageLog": [
-            {
-              "lc": 1,
-              "type": "constructor",
-              "id": [
-                "langchain_core",
-                "messages",
-                "AIMessage"
-              ],
-              "kwargs": {
-                "content": "",
-                "additional_kwargs": {
-                  "function_call": {
-                    "name": "langsmith_search",
-                    "arguments": "{\"query\":\"how can LangSmith help with testing?\"}"
-                  }
-                }
-              }
-            }
-          ]
-        },
-        "observation": "You can also quickly edit examples and add them to datasets to expand the surface area of your evaluation sets or to fine-tune a model for improved quality or reduced costs.Monitoring​After all this, your app might finally ready to go in production. LangSmith can also be used to monitor your application in much the same way that you used for debugging. You can log all traces, visualize latency and token usage statistics, and troubleshoot specific issues as they arise. Each run can also be assigned string tags or key-value metadata, allowing you to attach correlation ids or AB test variants, and filter runs accordingly.We’ve also made it possible to associate feedback programmatically with runs. This means that if your application has a thumbs up/down button on it, you can use that to log feedback back to LangSmith. This can be used to track performance over time and pinpoint under performing data points, which you can subsequently add to a dataset for future testing — mirroring the\n\nthe time that we do… it’s so helpful. We can use LangSmith to debug:An unexpected end resultWhy an agent is loopingWhy a chain was slower than expectedHow many tokens an agent usedDebugging​Debugging LLMs, chains, and agents can be tough. LangSmith helps solve the following pain points:What was the exact input to the LLM?​LLM calls are often tricky and non-deterministic. The inputs/outputs may seem straightforward, given they are technically string → string (or chat messages → chat message), but this can be misleading as the input string is usually constructed from a combination of user input and auxiliary functions.Most inputs to an LLM call are a combination of some type of fixed template along with input variables. These input variables could come directly from user input or from an auxiliary function (like retrieval). By the time these input variables go into the LLM they will have been converted to a string format, but often times they are not naturally represented as a string\n\ninputs, and see what happens. At some point though, our application is performing\nwell and we want to be more rigorous about testing changes. We can use a dataset\nthat we’ve constructed along the way (see above). Alternatively, we could spend some\ntime constructing a small dataset by hand. For these situations, LangSmith simplifies\n\nfeedback back to LangSmith. This can be used to track performance over time and pinpoint under performing data points, which you can subsequently add to a dataset for future testing — mirroring the debug mode approach.We’ve provided several examples in the LangSmith documentation for extracting insights from logged runs. In addition to guiding you on performing this task yourself, we also provide examples of integrating with third parties for this purpose. We're eager to expand this area in the coming months! If you have ideas for either -- an open-source way to evaluate, or are building a company that wants to do analytics over these runs, please reach out.Exporting datasets​LangSmith makes it easy to curate datasets. However, these aren’t just useful inside LangSmith; they can be exported for use in other contexts. Notable applications include exporting for use in OpenAI Evals or fine-tuning, such as with FireworksAI.To set up tracing in Deno, web browsers, or other runtime"
-      }
-    ]
-  }
-  [chain/end] [1:chain:AgentExecutor] [5.83s] Exiting Chain run with output: {
-    "input": "how can langsmith help with testing?",
-    "output": "LangSmith can help with testing in several ways:\n\n1. Debugging: LangSmith can be used to debug unexpected end results, agent loops, slow chains, and token usage. It helps in pinpointing underperforming data points and tracking performance over time.\n\n2. Monitoring: LangSmith can monitor applications by logging all traces, visualizing latency and token usage statistics, and troubleshooting specific issues as they arise. It also allows for associating feedback programmatically with runs, which can be used to track performance over time.\n\n3. Exporting Datasets: LangSmith makes it easy to curate datasets, which can be exported for use in other contexts such as OpenAI Evals or fine-tuning with FireworksAI.\n\nOverall, LangSmith simplifies the process of testing changes, constructing datasets, and extracting insights from logged runs, making it a valuable tool for testing and evaluation."
-  }
-  {
-    input: 'how can langsmith help with testing?',
-    output: 'LangSmith can help with testing in several ways:\n' +
-      '\n' +
-      '1. Initial Test Set: LangSmith allows developers to create datasets of inputs and reference outputs to run tests on their LLM applications. These test cases can be uploaded in bulk, created on the fly, or exported from application traces.\n' +
-      '\n' +
-      "2. Comparison View: When making changes to your applications, LangSmith provides a comparison view to see whether you've regressed with respect to your initial test cases. This is helpful for evaluating changes in prompts, retrieval strategies, or model choices.\n" +
-      '\n' +
-      '3. Monitoring and A/B Testing: LangSmith provides monitoring charts to track key metrics over time and allows for A/B testing changes in prompt, model, or retrieval strategy.\n' +
-      '\n' +
-      '4. Debugging: LangSmith offers tracing and debugging information at each step of an LLM sequence, making it easier to identify and root-cause issues when things go wrong.\n' +
-      '\n' +
-      '5. Beta Testing and Production: LangSmith enables the addition of runs as examples to datasets, expanding test coverage on real-world scenarios. It also provides monitoring for application performance with respect to latency, cost, and feedback scores at the production stage.\n' +
-      '\n' +
-      'Overall, LangSmith provides comprehensive testing and monitoring capabilities for LLM applications.'
-  }
-*/
-```
-
-## Adding in memory
-
-As mentioned earlier, this agent is stateless. This means it does not remember previous interactions.
-To give it memory we need to pass in previous `chat_history`.
-
-**Note:** the input variable below needs to be called `chat_history` because of the prompt we are using. If we use a different prompt, we could change the variable name.
-
-```typescript
-const result3 = await agentExecutor.invoke({
-  input: "hi! my name is cob.",
-  chat_history: [],
-});
-
-console.log(result3);
-/*
-  {
-    input: 'hi! my name is cob.',
-    chat_history: [],
-    output: "Hello Cob! It's nice to meet you. How can I assist you today?"
-  }
-*/
-```
-
-```typescript
-import { HumanMessage, AIMessage } from "@langchain/core/messages";
-
-const result4 = await agentExecutor.invoke({
-  input: "what's my name?",
-  chat_history: [
-    new HumanMessage("hi! my name is cob."),
-    new AIMessage("Hello Cob! How can I assist you today?"),
-  ],
-});
-
-console.log(result4);
-/*
-  {
-    input: "what's my name?",
-    chat_history: [
-      HumanMessage {
-        content: 'hi! my name is cob.',
-        additional_kwargs: {}
-      },
-      AIMessage {
-        content: 'Hello Cob! How can I assist you today?',
-        additional_kwargs: {}
-      }
-    ],
-    output: 'Your name is Cob. How can I assist you today, Cob?'
-  }
-*/
-```
-
-If we want to keep track of these messages automatically, we can wrap this in a RunnableWithMessageHistory. For more information on how to use this, see [this guide](/docs/how_to/message_history/).
-
-```typescript
-import { ChatMessageHistory } from "langchain/stores/message/in_memory";
-import { RunnableWithMessageHistory } from "@langchain/core/runnables";
-
-const messageHistory = new ChatMessageHistory();
-
-const agentWithChatHistory = new RunnableWithMessageHistory({
-  runnable: agentExecutor,
-  // This is needed because in most real world scenarios, a session id is needed per user.
-  // It isn't really used here because we are using a simple in memory ChatMessageHistory.
-  getMessageHistory: (_sessionId) => messageHistory,
-  inputMessagesKey: "input",
-  historyMessagesKey: "chat_history",
-});
-
-const result5 = await agentWithChatHistory.invoke(
-  {
-    input: "hi! i'm cob",
-  },
-  {
-    // This is needed because in most real world scenarios, a session id is needed per user.
-    // It isn't really used here because we are using a simple in memory ChatMessageHistory.
-    configurable: {
-      sessionId: "foo",
-    },
-  }
-);
-
-console.log(result5);
-/*
-  {
-    input: "hi! i'm cob",
-    chat_history: [
-      HumanMessage {
-        content: "hi! i'm cob",
-        additional_kwargs: {}
-      },
-      AIMessage {
-        content: 'Hello Cob! How can I assist you today?',
-        additional_kwargs: {}
-      }
-    ],
-    output: 'Hello Cob! How can I assist you today?'
-  }
-*/
-```
-
-```typescript
-const result6 = await agentWithChatHistory.invoke(
-  {
-    input: "what's my name?",
-  },
-  {
-    // This is needed because in most real world scenarios, a session id is needed per user.
-    // It isn't really used here because we are using a simple in memory ChatMessageHistory.
-    configurable: {
-      sessionId: "foo",
-    },
-  }
-);
-
-console.log(result6);
-/*
-  {
-    input: "what's my name?",
-    chat_history: [
-      HumanMessage {
-        content: "hi! i'm cob",
-        additional_kwargs: {}
-      },
-      AIMessage {
-        content: 'Hello Cob! How can I assist you today?',
-        additional_kwargs: {}
-      },
-      HumanMessage {
-        content: "what's my name?",
-        additional_kwargs: {}
-      },
-      AIMessage {
-        content: 'Your name is Cob. How can I assist you today, Cob?',
-        additional_kwargs: {}
-      }
-    ],
-    output: 'Your name is Cob. How can I assist you today, Cob?'
-  }
-*/
-```
-
-## Conclusion
-
-That’s a wrap! In this quick start we covered how to create a simple agent. Agents are a complex topic, and there’s lot to learn!
-Head back to the [main agent page](/docs/how_to/agent_executor/) to find more resources on conceptual guides, different types of agents, how to create custom tools, and more!
diff --git a/docs/core_docs/docs/tutorials/chatbot.ipynb b/docs/core_docs/docs/tutorials/chatbot.ipynb
index d63a1ea3295d..61bd171e59db 100644
--- a/docs/core_docs/docs/tutorials/chatbot.ipynb
+++ b/docs/core_docs/docs/tutorials/chatbot.ipynb
@@ -39,7 +39,7 @@
     "There are several other related concepts that you may be looking for:\n",
     "\n",
     "- [Conversational RAG](/docs/tutorials/qa_chat_history): Enable a chatbot experience over an external source of data\n",
-    "- [Agents](/docs/tutorials/agents): Build a chatbot that can take actions\n",
+    "- [Agents](https://langchain-ai.github.io/langgraphjs/tutorials/quickstart/): Build a chatbot that can take actions\n",
     "\n",
     "This tutorial will cover the basics which will be helpful for those two more advanced topics, but feel free to skip directly to there should you choose.\n",
     "\n",
@@ -53,7 +53,7 @@
     "import Npm2Yarn from \"@theme/Npm2Yarn\"\n",
     "\n",
     "<Npm2Yarn>\n",
-    "  langchain\n",
+    "  langchain @langchain/core\n",
     "</Npm2Yarn>\n",
     "```\n",
     "\n",
@@ -771,7 +771,7 @@
     "Now that you understand the basics of how to create a chatbot in LangChain, some more advanced tutorials you may be interested in are:\n",
     "\n",
     "- [Conversational RAG](/docs/tutorials/qa_chat_history): Enable a chatbot experience over an external source of data\n",
-    "- [Agents](/docs/tutorials/agents): Build a chatbot that can take actions\n",
+    "- [Agents](https://langchain-ai.github.io/langgraphjs/tutorials/quickstart/): Build a chatbot that can take actions\n",
     "\n",
     "If you want to dive deeper on specifics, some things worth checking out are:\n",
     "\n",
diff --git a/docs/core_docs/docs/tutorials/extraction.ipynb b/docs/core_docs/docs/tutorials/extraction.ipynb
index 696550cf3fc2..3e0801bc73f9 100644
--- a/docs/core_docs/docs/tutorials/extraction.ipynb
+++ b/docs/core_docs/docs/tutorials/extraction.ipynb
@@ -49,7 +49,7 @@
     "import Npm2Yarn from '@theme/Npm2Yarn';\n",
     "\n",
     "<Npm2Yarn>\n",
-    "  langchain\n",
+    "  langchain @langchain/core\n",
     "</Npm2Yarn>\n",
     "```\n",
     "\n",
@@ -139,20 +139,20 @@
     "// 2) Introduce additional parameters to take context into account (e.g., include metadata\n",
     "//    about the document from which the text was extracted.)\n",
     "const prompt = ChatPromptTemplate.fromMessages(\n",
+    "  [\n",
     "    [\n",
-    "        [\n",
-    "            \"system\",\n",
-    "            `You are an expert extraction algorithm.\n",
+    "      \"system\",\n",
+    "      `You are an expert extraction algorithm.\n",
     "Only extract relevant information from the text.\n",
     "If you do not know the value of an attribute asked to extract,\n",
     "return null for the attribute's value.`,\n",
-    "        ],\n",
-    "        // Please see the how-to about improving performance with\n",
-    "        // reference examples.\n",
-    "        // [\"placeholder\", \"{examples}\"],\n",
-    "        [\"human\", \"{text}\"],\n",
-    "    ]\n",
-    ")"
+    "    ],\n",
+    "    // Please see the how-to about improving performance with\n",
+    "    // reference examples.\n",
+    "    // [\"placeholder\", \"{examples}\"],\n",
+    "    [\"human\", \"{text}\"],\n",
+    "  ],\n",
+    ");"
    ]
   },
   {
@@ -232,11 +232,11 @@
     }
    ],
    "source": [
-    "const runnable = prompt.pipe(llm.withStructuredOutput(personSchema, { name: \"person\" }));\n",
+    "const runnableWithName = prompt.pipe(llm.withStructuredOutput(personSchema, { name: \"person\" }));\n",
     "\n",
-    "const text = \"Alan Smith is 6 feet tall and has blond hair.\";\n",
+    "const text2 = \"Alan Smith is 6 feet tall and has blond hair.\";\n",
     "\n",
-    "await runnable.invoke({ text });"
+    "await runnableWithName.invoke({ text: text2 });"
    ]
   },
   {
@@ -268,14 +268,14 @@
    "source": [
     "import { z } from \"zod\";\n",
     "\n",
-    "const personSchema = z.object({\n",
-    "    name: z.string().nullish().describe('The name of the person'),\n",
-    "    hair_color: z.string().nullish().describe(\"The color of the person's hair if known\"),\n",
-    "    height_in_meters: z.number().nullish().describe('Height measured in meters'),\n",
-    "  });\n",
+    "const person = z.object({\n",
+    "  name: z.string().nullish().describe('The name of the person'),\n",
+    "  hair_color: z.string().nullish().describe(\"The color of the person's hair if known\"),\n",
+    "  height_in_meters: z.number().nullish().describe('Height measured in meters'),\n",
+    "});\n",
     "  \n",
     "const dataSchema = z.object({\n",
-    "  people: z.array(personSchema).describe('Extracted data about people'),\n",
+    "  people: z.array(person).describe('Extracted data about people'),\n",
     "});"
    ]
   },
@@ -312,9 +312,9 @@
     }
    ],
    "source": [
-    "const runnable = prompt.pipe(llm.withStructuredOutput(dataSchema))\n",
-    "const text = \"My name is Jeff, my hair is black and i am 6 feet tall. Anna has the same color hair as me.\"\n",
-    "await runnable.invoke({ text })"
+    "const peopleExtractionChain = prompt.pipe(llm.withStructuredOutput(dataSchema))\n",
+    "const text3 = \"My name is Jeff, my hair is black and i am 6 feet tall. Anna has the same color hair as me.\"\n",
+    "await peopleExtractionChain.invoke({ text: text3 })"
    ]
   },
   {
diff --git a/docs/core_docs/docs/tutorials/graph.ipynb b/docs/core_docs/docs/tutorials/graph.ipynb
index 723fdf971cbf..b7fc6a76b6d6 100644
--- a/docs/core_docs/docs/tutorials/graph.ipynb
+++ b/docs/core_docs/docs/tutorials/graph.ipynb
@@ -48,7 +48,7 @@
         "<IntegrationInstallTooltip></IntegrationInstallTooltip>\n",
         "\n",
         "<Npm2Yarn>\n",
-        "  langchain @langchain/community @langchain/openai neo4j-driver\n",
+        "  langchain @langchain/community @langchain/openai @langchain/core neo4j-driver\n",
         "</Npm2Yarn>\n",
         "```\n",
         "\n",
@@ -111,9 +111,9 @@
         "import \"neo4j-driver\";\n",
         "import { Neo4jGraph } from \"@langchain/community/graphs/neo4j_graph\";\n",
         "\n",
-        "const url = Deno.env.get(\"NEO4J_URI\");\n",
-        "const username = Deno.env.get(\"NEO4J_USER\");\n",
-        "const password = Deno.env.get(\"NEO4J_PASSWORD\");\n",
+        "const url = process.env.NEO4J_URI;\n",
+        "const username = process.env.NEO4J_USER;\n",
+        "const password = process.env.NEO4J_PASSWORD;\n",
         "const graph = await Neo4jGraph.initialize({ url, username, password });\n",
         "\n",
         "// Import movie information\n",
diff --git a/docs/core_docs/docs/tutorials/index.mdx b/docs/core_docs/docs/tutorials/index.mdx
index e19d8b8edad4..fdf43e11c579 100644
--- a/docs/core_docs/docs/tutorials/index.mdx
+++ b/docs/core_docs/docs/tutorials/index.mdx
@@ -5,13 +5,13 @@ sidebar_class_name: hidden
 
 # Tutorials
 
-New to LangChain or to LLM app development in general? Read this material to quickly get up and running.
+New to LangChain/LangGraph or to LLM app development in general? Read this material to quickly get up and running.
 
 ## Basics
 
 - [Build a Simple LLM Application with LCEL](/docs/tutorials/llm_chain)
 - [Build a Chatbot](/docs/tutorials/chatbot)
-- [Build an Agent](/docs/tutorials/agents)
+- [Build an Agent with LangGraph.js](https://langchain-ai.github.io/langgraphjs/tutorials/quickstart/)
 
 ## Working with external knowledge
 
diff --git a/docs/core_docs/docs/tutorials/llm_chain.ipynb b/docs/core_docs/docs/tutorials/llm_chain.ipynb
index ce8f7f400b02..b7d1a06a225b 100644
--- a/docs/core_docs/docs/tutorials/llm_chain.ipynb
+++ b/docs/core_docs/docs/tutorials/llm_chain.ipynb
@@ -43,7 +43,7 @@
     "import CodeBlock from \"@theme/CodeBlock\";\n",
     "\n",
     "<Npm2Yarn>\n",
-    "  langchain\n",
+    "  langchain @langchain/core\n",
     "</Npm2Yarn>\n",
     "```\n",
     "\n",
@@ -83,6 +83,22 @@
     "```"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "613634d1",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "// @lc-docs-hide-cell\n",
+    "import { ChatOpenAI } from '@langchain/openai';\n",
+    "\n",
+    "const model = new ChatOpenAI({\n",
+    "  model: \"gpt-4o\",\n",
+    "  temperature: 0,\n",
+    "})"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "ca5642ff",
@@ -131,9 +147,9 @@
     "import { HumanMessage, SystemMessage } from \"@langchain/core/messages\"\n",
     "\n",
     "const messages = [\n",
-    "    new SystemMessage(\"Translate the following from English into Italian\"),\n",
-    "    new HumanMessage(\"hi!\"),\n",
-    "]\n",
+    "  new SystemMessage(\"Translate the following from English into Italian\"),\n",
+    "  new HumanMessage(\"hi!\"),\n",
+    "];\n",
     "\n",
     "await model.invoke(messages)"
    ]
@@ -323,10 +339,10 @@
    "outputs": [],
    "source": [
     "const promptTemplate = ChatPromptTemplate.fromMessages(\n",
-    "    [\n",
-    "        [\"system\", systemTemplate],\n",
-    "        [\"user\", \"{text}\"]\n",
-    "    ]\n",
+    "  [\n",
+    "    [\"system\", systemTemplate],\n",
+    "    [\"user\", \"{text}\"]\n",
+    "  ]\n",
     ")"
    ]
   },
@@ -409,9 +425,9 @@
     }
    ],
    "source": [
-    "const result = await promptTemplate.invoke({ language: \"italian\", text: \"hi\" })\n",
+    "const promptValue = await promptTemplate.invoke({ language: \"italian\", text: \"hi\" })\n",
     "\n",
-    "result"
+    "promptValue"
    ]
   },
   {
@@ -463,7 +479,7 @@
     }
    ],
    "source": [
-    "result.toChatMessages()"
+    "promptValue.toChatMessages()"
    ]
   },
   {
@@ -481,7 +497,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "const chain = promptTemplate.pipe(model).pipe(parser);"
+    "const llmChain = promptTemplate.pipe(model).pipe(parser);"
    ]
   },
   {
@@ -502,7 +518,7 @@
     }
    ],
    "source": [
-    "await chain.invoke({ language: \"italian\", text: \"hi\" })"
+    "await llmChain.invoke({ language: \"italian\", text: \"hi\" })"
    ]
   },
   {
diff --git a/docs/core_docs/docs/tutorials/qa_chat_history.ipynb b/docs/core_docs/docs/tutorials/qa_chat_history.ipynb
index c430fd5a9a58..b6bd8146c71a 100644
--- a/docs/core_docs/docs/tutorials/qa_chat_history.ipynb
+++ b/docs/core_docs/docs/tutorials/qa_chat_history.ipynb
@@ -363,7 +363,7 @@
         "\n",
         "For this we can use:\n",
         "\n",
-        "- [BaseChatMessageHistory](https://v02.api.js.langchain.com/classes/langchain_core.chat_history.BaseChatMessageHistory.html): Store chat history.\n",
+        "- [BaseChatMessageHistory](https://api.js.langchain.com/classes/langchain_core.chat_history.BaseChatMessageHistory.html): Store chat history.\n",
         "- [RunnableWithMessageHistory](/docs/how_to/message_history/): Wrapper for an LCEL chain and a `BaseChatMessageHistory` that handles injecting chat history into inputs and updating it after each invocation.\n",
         "\n",
         "For a detailed walkthrough of how to use these classes together to create a stateful conversational chain, head to the [How to add message history (memory)](/docs/how_to/message_history/) LCEL page."
diff --git a/docs/core_docs/docs/tutorials/query_analysis.ipynb b/docs/core_docs/docs/tutorials/query_analysis.ipynb
index 5c8da8e8f25e..9a33120b8363 100644
--- a/docs/core_docs/docs/tutorials/query_analysis.ipynb
+++ b/docs/core_docs/docs/tutorials/query_analysis.ipynb
@@ -49,7 +49,7 @@
         "<IntegrationInstallTooltip></IntegrationInstallTooltip>\n",
         "\n",
         "<Npm2Yarn>\n",
-        "  langchain @langchain/community @langchain/openai youtubei.js chromadb youtube-transcript\n",
+        "  langchain @langchain/community @langchain/openai @langchain/core youtubei.js chromadb youtube-transcript\n",
         "</Npm2Yarn>\n",
         "```"
       ]
@@ -238,10 +238,10 @@
         }
       ],
       "source": [
-        "const searchResults = await vectorStore.similaritySearch(\"videos on RAG published in 2023\");\n",
-        "console.log(searchResults[0].metadata.title);\n",
-        "console.log(searchResults[0].metadata.publish_year);\n",
-        "console.log(searchResults[0].pageContent.slice(0, 500));"
+        "const specificSearchResults = await vectorStore.similaritySearch(\"videos on RAG published in 2023\");\n",
+        "console.log(specificSearchResults[0].metadata.title);\n",
+        "console.log(specificSearchResults[0].metadata.publish_year);\n",
+        "console.log(specificSearchResults[0].pageContent.slice(0, 500));"
       ]
     },
     {
@@ -289,7 +289,7 @@
       "source": [
         "### Query generation\n",
         "\n",
-        "To convert user questions to structured queries we'll make use of OpenAI's function-calling API. Specifically we'll use the new [ChatModel.withStructuredOutput()](https://v02.api.js.langchain.com/classes/langchain_core.language_models_base.BaseLanguageModel.html#withStructuredOutput) constructor to handle passing the schema to the model and parsing the output."
+        "To convert user questions to structured queries we'll make use of OpenAI's function-calling API. Specifically we'll use the new [ChatModel.withStructuredOutput()](https://api.js.langchain.com/classes/langchain_core.language_models_base.BaseLanguageModel.html#withStructuredOutput) constructor to handle passing the schema to the model and parsing the output."
       ]
     },
     {
diff --git a/docs/core_docs/docs/tutorials/rag.ipynb b/docs/core_docs/docs/tutorials/rag.ipynb
index ef5e147741ea..c845c9149d72 100644
--- a/docs/core_docs/docs/tutorials/rag.ipynb
+++ b/docs/core_docs/docs/tutorials/rag.ipynb
@@ -58,7 +58,7 @@
         "To install LangChain run:\n",
         "\n",
         "```bash npm2yarn\n",
-        "npm i langchain\n",
+        "npm i langchain @langchain/core\n",
         "```\n",
         "\n",
         "For more details, see our [Installation guide](/docs/how_to/installation).\n",
@@ -99,7 +99,7 @@
     },
     {
       "cell_type": "code",
-      "execution_count": null,
+      "execution_count": 1,
       "metadata": {},
       "outputs": [],
       "source": [
@@ -110,15 +110,7 @@
         "import { OpenAIEmbeddings, ChatOpenAI } from \"@langchain/openai\";\n",
         "import { pull } from \"langchain/hub\";\n",
         "import { ChatPromptTemplate } from \"@langchain/core/prompts\";\n",
-        "import { StringOutputParser } from \"@langchain/core/output_parsers\";"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 2,
-      "metadata": {},
-      "outputs": [],
-      "source": [
+        "import { StringOutputParser } from \"@langchain/core/output_parsers\";\n",
         "import { createStuffDocumentsChain } from \"langchain/chains/combine_documents\";\n",
         "\n",
         "const loader = new CheerioWebBaseLoader(\n",
@@ -149,50 +141,34 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "Let's see what this prompt actually looks like:"
+        "The prompt looks like this:\n",
+        "\n",
+        "```\n",
+        "You are an assistant for question-answering tasks. Use the following pieces of retrieved context to answer the question. If you don't know the answer, just say that you don't know. Use three sentences maximum and keep the answer concise.\n",
+        "Question: {question} \n",
+        "Context: {context} \n",
+        "Answer:\n",
+        "```"
       ]
     },
     {
       "cell_type": "code",
-      "execution_count": 1,
+      "execution_count": 2,
       "metadata": {},
       "outputs": [
         {
           "name": "stdout",
           "output_type": "stream",
           "text": [
-            "You are an assistant for question-answering tasks. Use the following pieces of retrieved context to answer the question. If you don't know the answer, just say that you don't know. Use three sentences maximum and keep the answer concise.\n",
-            "Question: {question} \n",
-            "Context: {context} \n",
-            "Answer:\n"
+            "Task decomposition is a technique that breaks down complex tasks into smaller and simpler steps to make them more manageable. It can be done using prompting techniques like Chain of Thought or Tree of Thoughts, task-specific instructions, or relying on external classical planners. Task decomposition is essential for agents to plan ahead and successfully complete complicated tasks.\n"
           ]
         }
       ],
-      "source": [
-        "console.log(prompt.promptMessages.map((msg) => msg.prompt.template).join(\"\\n\"));"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 4,
-      "metadata": {},
-      "outputs": [
-        {
-          "data": {
-            "text/plain": [
-              "\u001b[32m\"Task decomposition is a technique used to break down complex tasks into smaller and simpler steps. I\"\u001b[39m... 259 more characters"
-            ]
-          },
-          "execution_count": 4,
-          "metadata": {},
-          "output_type": "execute_result"
-        }
-      ],
       "source": [
         "await ragChain.invoke({\n",
         "  question: \"What is task decomposition?\",\n",
         "  context: retrievedDocs,\n",
-        "})"
+        "});"
       ]
     },
     {
@@ -211,7 +187,7 @@
     },
     {
       "cell_type": "code",
-      "execution_count": 5,
+      "execution_count": 3,
       "metadata": {},
       "outputs": [],
       "source": [
@@ -231,18 +207,15 @@
     },
     {
       "cell_type": "code",
-      "execution_count": 6,
+      "execution_count": 4,
       "metadata": {},
       "outputs": [
         {
-          "data": {
-            "text/plain": [
-              "\u001b[32m\"Task decomposition is a technique used to break down complex tasks into smaller and simpler steps. I\"\u001b[39m... 208 more characters"
-            ]
-          },
-          "execution_count": 6,
-          "metadata": {},
-          "output_type": "execute_result"
+          "name": "stdout",
+          "output_type": "stream",
+          "text": [
+            "Task decomposition is a technique used to break down complex tasks into smaller and simpler steps. This approach helps agents plan and execute tasks more efficiently by dividing them into manageable subgoals. Task decomposition can be achieved through various methods, such as using prompting techniques, task-specific instructions, or relying on external classical planners.\n"
+          ]
         }
       ],
       "source": [
@@ -265,40 +238,40 @@
         "Let’s go through the above code step-by-step to really understand what’s going on.\n",
         "\n",
         "## 1. Indexing: Load\n",
-        "We need to first load the blog post contents. We can use [DocumentLoaders](/docs/concepts#document-loaders) for this, which are objects that load in data from a source and return a list of [Documents](https://v02.api.js.langchain.com/classes/langchain_core.documents.Document.html). A Document is an object with some pageContent (`string`) and metadata (`Record<string, any>`).\n",
+        "We need to first load the blog post contents. We can use [DocumentLoaders](/docs/concepts#document-loaders) for this, which are objects that load in data from a source and return a list of [Documents](https://api.js.langchain.com/classes/langchain_core.documents.Document.html). A Document is an object with some pageContent (`string`) and metadata (`Record<string, any>`).\n",
         "\n",
-        "In this case we’ll use the [CheerioWebBaseLoader](https://v02.api.js.langchain.com/classes/langchain.document_loaders_web_cheerio.CheerioWebBaseLoader.html), which uses cheerio to load HTML form web URLs and parse it to text. We can pass custom selectors to the constructor to only parse specific elements:"
+        "In this case we’ll use the [CheerioWebBaseLoader](https://api.js.langchain.com/classes/langchain.document_loaders_web_cheerio.CheerioWebBaseLoader.html), which uses cheerio to load HTML form web URLs and parse it to text. We can pass custom selectors to the constructor to only parse specific elements:"
       ]
     },
     {
       "cell_type": "code",
-      "execution_count": 13,
+      "execution_count": 5,
       "metadata": {},
       "outputs": [
         {
           "name": "stdout",
           "output_type": "stream",
           "text": [
-            "22054\n"
+            "22360\n"
           ]
         }
       ],
       "source": [
         "const pTagSelector = \"p\";\n",
-        "const loader = new CheerioWebBaseLoader(\n",
+        "const cheerioLoader = new CheerioWebBaseLoader(\n",
         "  \"https://lilianweng.github.io/posts/2023-06-23-agent/\",\n",
         "  {\n",
         "    selector: pTagSelector\n",
         "  }\n",
         ");\n",
         "\n",
-        "const docs = await loader.load();\n",
-        "console.log(docs[0].pageContent.length)"
+        "const loadedDocs = await cheerioLoader.load();\n",
+        "console.log(loadedDocs[0].pageContent.length)"
       ]
     },
     {
       "cell_type": "code",
-      "execution_count": 14,
+      "execution_count": 6,
       "metadata": {},
       "outputs": [
         {
@@ -322,13 +295,13 @@
             "You always add a comment briefly describing the purpose of the function definition.\n",
             "You try to add comments explaining very complex bits of logic.\n",
             "You always follow the best practices for the requested languages in terms of describing the code written as a defined\n",
-            "package/project.Python toolbelt preferences:Conversatin samples:After going through key ideas and demos of building LLM-centered agents, I start to see a couple common limitations:Finite context length: The restricted context capacity limits the inclusion of historical information, detailed instructions, API call context, and responses. The design of the system has to work with this limited communication bandwidth, while mechanisms like self-reflection to learn from past mistakes would benefit a lot from long or infinite context windows. Although vector stores and retrieval can provide access to a larger knowledge pool, their representation power is not as powerful as full attention.Challenges in long-term planning and task decomposition: Planning over a lengthy history and effectively exploring the solution space remain challenging. LLMs struggle to adjust plans when faced with unexpected errors, making them less robust compared to humans who learn from trial and error.Reliability of natural language interface: Current agent system relies on natural language as an interface between LLMs and external components such as memory and tools. However, the reliability of model outputs is questionable, as LLMs may make formatting errors and occasionally exhibit rebellious behavior (e.g. refuse to follow an instruction). Consequently, much of the agent demo code focuses on parsing model output.Cited as:Weng, Lilian. (Jun 2023). LLM-powered Autonomous Agents\". Lil’Log. https://lilianweng.github.io/posts/2023-06-23-agent/.Or[1] Wei et al. “Chain of thought prompting elicits reasoning in large language models.” NeurIPS 2022[2] Yao et al. “Tree of Thoughts: Dliberate Problem Solving with Large Language Models.” arXiv preprint arXiv:2305.10601 (2023).[3] Liu et al. “Chain of Hindsight Aligns Language Models with Feedback\n",
-            "“ arXiv preprint arXiv:2302.02676 (2023).[4] Liu et al. “LLM+P: Empowering Large Language Models with Optimal Planning Proficiency” arXiv preprint arXiv:2304.11477 (2023).[5] Yao et al. “ReAct: Synergizing reasoning and acting in language models.” ICLR 2023.[6] Google Blog. “Announcing ScaNN: Efficient Vector Similarity Search” July 28, 2020.[7] https://chat.openai.com/share/46ff149e-a4c7-4dd7-a800-fc4a642ea389[8] Shinn & Labash. “Reflexion: an autonomous agent with dynamic memory and self-reflection” arXiv preprint arXiv:2303.11366 (2023).[9] Laskin et al. “In-context Reinforcement Learning with Algorithm Distillation” ICLR 2023.[10] Karpas et al. “MRKL Systems A modular, neuro-symbolic architecture that combines large language models, external knowledge sources and discrete reasoning.” arXiv preprint arXiv:2205.00445 (2022).[11] Weaviate Blog. Why is Vector Search so fast? Sep 13, 2022.[12] Li et al. “API-Bank: A Benchmark for Tool-Augmented LLMs” arXiv preprint arXiv:2304.08244 (2023).[13] Shen et al. “HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in HuggingFace” arXiv preprint arXiv:2303.17580 (2023).[14] Bran et al. “ChemCrow: Augmenting large-language models with chemistry tools.” arXiv preprint arXiv:2304.05376 (2023).[15] Boiko et al. “Emergent autonomous scientific research capabilities of large language models.” arXiv preprint arXiv:2304.05332 (2023).[16] Joon Sung Park, et al. “Generative Agents: Interactive Simulacra of Human Behavior.” arXiv preprint arXiv:2304.03442 (2023).[17] AutoGPT. https://github.com/Significant-Gravitas/Auto-GPT[18] GPT-Engineer. https://github.com/AntonOsika/gpt-engineer\n"
+            "package/project.Python toolbelt preferences:Conversatin samples:After going through key ideas and demos of building LLM-centered agents, I start to see a couple common limitations:Finite context length: The restricted context capacity limits the inclusion of historical information, detailed instructions, API call context, and responses. The design of the system has to work with this limited communication bandwidth, while mechanisms like self-reflection to learn from past mistakes would benefit a lot from long or infinite context windows. Although vector stores and retrieval can provide access to a larger knowledge pool, their representation power is not as powerful as full attention.Challenges in long-term planning and task decomposition: Planning over a lengthy history and effectively exploring the solution space remain challenging. LLMs struggle to adjust plans when faced with unexpected errors, making them less robust compared to humans who learn from trial and error.Reliability of natural language interface: Current agent system relies on natural language as an interface between LLMs and external components such as memory and tools. However, the reliability of model outputs is questionable, as LLMs may make formatting errors and occasionally exhibit rebellious behavior (e.g. refuse to follow an instruction). Consequently, much of the agent demo code focuses on parsing model output.Cited as:Weng, Lilian. (Jun 2023). “LLM-powered Autonomous Agents”. Lil’Log. https://lilianweng.github.io/posts/2023-06-23-agent/.Or[1] Wei et al. “Chain of thought prompting elicits reasoning in large language models.” NeurIPS 2022[2] Yao et al. “Tree of Thoughts: Dliberate Problem Solving with Large Language Models.” arXiv preprint arXiv:2305.10601 (2023).[3] Liu et al. “Chain of Hindsight Aligns Language Models with Feedback\n",
+            "“ arXiv preprint arXiv:2302.02676 (2023).[4] Liu et al. “LLM+P: Empowering Large Language Models with Optimal Planning Proficiency” arXiv preprint arXiv:2304.11477 (2023).[5] Yao et al. “ReAct: Synergizing reasoning and acting in language models.” ICLR 2023.[6] Google Blog. “Announcing ScaNN: Efficient Vector Similarity Search” July 28, 2020.[7] https://chat.openai.com/share/46ff149e-a4c7-4dd7-a800-fc4a642ea389[8] Shinn & Labash. “Reflexion: an autonomous agent with dynamic memory and self-reflection” arXiv preprint arXiv:2303.11366 (2023).[9] Laskin et al. “In-context Reinforcement Learning with Algorithm Distillation” ICLR 2023.[10] Karpas et al. “MRKL Systems A modular, neuro-symbolic architecture that combines large language models, external knowledge sources and discrete reasoning.” arXiv preprint arXiv:2205.00445 (2022).[11] Nakano et al. “Webgpt: Browser-assisted question-answering with human feedback.” arXiv preprint arXiv:2112.09332 (2021).[12] Parisi et al. “TALM: Tool Augmented Language Models”[13] Schick et al. “Toolformer: Language Models Can Teach Themselves to Use Tools.” arXiv preprint arXiv:2302.04761 (2023).[14] Weaviate Blog. Why is Vector Search so fast? Sep 13, 2022.[15] Li et al. “API-Bank: A Benchmark for Tool-Augmented LLMs” arXiv preprint arXiv:2304.08244 (2023).[16] Shen et al. “HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in HuggingFace” arXiv preprint arXiv:2303.17580 (2023).[17] Bran et al. “ChemCrow: Augmenting large-language models with chemistry tools.” arXiv preprint arXiv:2304.05376 (2023).[18] Boiko et al. “Emergent autonomous scientific research capabilities of large language models.” arXiv preprint arXiv:2304.05332 (2023).[19] Joon Sung Park, et al. “Generative Agents: Interactive Simulacra of Human Behavior.” arXiv preprint arXiv:2304.03442 (2023).[20] AutoGPT. https://github.com/Significant-Gravitas/Auto-GPT[21] GPT-Engineer. https://github.com/AntonOsika/gpt-engineer\n"
           ]
         }
       ],
       "source": [
-        "console.log(docs[0].pageContent)"
+        "console.log(loadedDocs[0].pageContent)"
       ]
     },
     {
@@ -338,7 +311,7 @@
         "### Go deeper\n",
         "`DocumentLoader`: Class that loads data from a source as list of Documents. - [Docs](/docs/concepts#document-loaders): Detailed documentation on how to use\n",
         "\n",
-        "`DocumentLoaders`. - [Integrations](/docs/integrations/document_loaders/) - [Interface](https://v02.api.js.langchain.com/classes/langchain.document_loaders_base.BaseDocumentLoader.html): API reference for the base interface."
+        "`DocumentLoaders`. - [Integrations](/docs/integrations/document_loaders/) - [Interface](https:/api.js.langchain.com/classes/langchain.document_loaders_base.BaseDocumentLoader.html): API reference for the base interface."
       ]
     },
     {
@@ -355,26 +328,26 @@
     },
     {
       "cell_type": "code",
-      "execution_count": 16,
+      "execution_count": 7,
       "metadata": {},
       "outputs": [],
       "source": [
-        "const textSplitter = new RecursiveCharacterTextSplitter({\n",
+        "const splitter = new RecursiveCharacterTextSplitter({\n",
         "  chunkSize: 1000, chunkOverlap: 200\n",
         "});\n",
-        "const allSplits = await textSplitter.splitDocuments(docs);"
+        "const allSplits = await splitter.splitDocuments(loadedDocs);"
       ]
     },
     {
       "cell_type": "code",
-      "execution_count": 17,
+      "execution_count": 8,
       "metadata": {},
       "outputs": [
         {
           "name": "stdout",
           "output_type": "stream",
           "text": [
-            "28\n"
+            "29\n"
           ]
         }
       ],
@@ -384,7 +357,7 @@
     },
     {
       "cell_type": "code",
-      "execution_count": 18,
+      "execution_count": 9,
       "metadata": {},
       "outputs": [
         {
@@ -401,21 +374,18 @@
     },
     {
       "cell_type": "code",
-      "execution_count": 19,
+      "execution_count": 10,
       "metadata": {},
       "outputs": [
         {
-          "data": {
-            "text/plain": [
-              "{\n",
-              "  source: \u001b[32m\"https://lilianweng.github.io/posts/2023-06-23-agent/\"\u001b[39m,\n",
-              "  loc: { lines: { from: \u001b[33m1\u001b[39m, to: \u001b[33m1\u001b[39m } }\n",
-              "}"
-            ]
-          },
-          "execution_count": 19,
-          "metadata": {},
-          "output_type": "execute_result"
+          "name": "stdout",
+          "output_type": "stream",
+          "text": [
+            "{\n",
+            "  source: 'https://lilianweng.github.io/posts/2023-06-23-agent/',\n",
+            "  loc: { lines: { from: 1, to: 1 } }\n",
+            "}\n"
+          ]
         }
       ],
       "source": [
@@ -428,9 +398,9 @@
       "source": [
         "### Go deeper\n",
         "\n",
-        "`TextSplitter`: Object that splits a list of `Document`s into smaller chunks. Subclass of `DocumentTransformers`. - Explore `Context-aware splitters`, which keep the location (“context”) of each split in the original `Document`: - [Markdown files](/docs/how_to/code_splitter/#markdown) - [Code](/docs/how_to/code_splitter/) (15+ langs) - [Interface](https://v02.api.js.langchain.com/classes/langchain_textsplitters.TextSplitter.html): API reference for the base interface.\n",
+        "`TextSplitter`: Object that splits a list of `Document`s into smaller chunks. Subclass of `DocumentTransformers`. - Explore `Context-aware splitters`, which keep the location (“context”) of each split in the original `Document`: - [Markdown files](/docs/how_to/code_splitter/#markdown) - [Code](/docs/how_to/code_splitter/) (15+ langs) - [Interface](https://api.js.langchain.com/classes/langchain_textsplitters.TextSplitter.html): API reference for the base interface.\n",
         "\n",
-        "`DocumentTransformer`: Object that performs a transformation on a list of `Document`s. - Docs: Detailed documentation on how to use `DocumentTransformer`s - [Integrations](/docs/integrations/document_transformers) - [Interface](https://v02.api.js.langchain.com/classes/langchain_core.documents.BaseDocumentTransformer.html): API reference for the base interface."
+        "`DocumentTransformer`: Object that performs a transformation on a list of `Document`s. - Docs: Detailed documentation on how to use `DocumentTransformer`s - [Integrations](/docs/integrations/document_transformers) - [Interface](https://api.js.langchain.com/classes/langchain_core.documents.BaseDocumentTransformer.html): API reference for the base interface."
       ]
     },
     {
@@ -445,14 +415,14 @@
     },
     {
       "cell_type": "code",
-      "execution_count": 20,
+      "execution_count": 11,
       "metadata": {},
       "outputs": [],
       "source": [
         "import { MemoryVectorStore } from \"langchain/vectorstores/memory\"\n",
         "import { OpenAIEmbeddings } from \"@langchain/openai\";\n",
         "\n",
-        "const vectorStore = await MemoryVectorStore.fromDocuments(allSplits, new OpenAIEmbeddings());"
+        "const inMemoryVectorStore = await MemoryVectorStore.fromDocuments(allSplits, new OpenAIEmbeddings());"
       ]
     },
     {
@@ -461,9 +431,9 @@
       "source": [
         "### Go deeper\n",
         "\n",
-        "`Embeddings`: Wrapper around a text embedding model, used for converting text to embeddings. - [Docs](/docs/concepts#embedding-models): Detailed documentation on how to use embeddings. - [Integrations](/docs/integrations/text_embedding): 30+ integrations to choose from. - [Interface](https://v02.api.js.langchain.com/classes/langchain_core.embeddings.Embeddings.html): API reference for the base interface.\n",
+        "`Embeddings`: Wrapper around a text embedding model, used for converting text to embeddings. - [Docs](/docs/concepts#embedding-models): Detailed documentation on how to use embeddings. - [Integrations](/docs/integrations/text_embedding): 30+ integrations to choose from. - [Interface](https://api.js.langchain.com/classes/langchain_core.embeddings.Embeddings.html): API reference for the base interface.\n",
         "\n",
-        "`VectorStore`: Wrapper around a vector database, used for storing and querying embeddings. - [Docs](/docs/concepts#vectorstores): Detailed documentation on how to use vector stores. - [Integrations](/docs/integrations/vectorstores): 40+ integrations to choose from. - [Interface](https://v02.api.js.langchain.com/classes/langchain_core.vectorstores.VectorStore.html): API reference for the base interface.\n",
+        "`VectorStore`: Wrapper around a vector database, used for storing and querying embeddings. - [Docs](/docs/concepts#vectorstores): Detailed documentation on how to use vector stores. - [Integrations](/docs/integrations/vectorstores): 40+ integrations to choose from. - [Interface](https://api.js.langchain.com/classes/langchain_core.vectorstores.VectorStore.html): API reference for the base interface.\n",
         "\n",
         "This completes the **Indexing** portion of the pipeline. At this point we have a query-able vector store containing the chunked contents of our blog post. Given a user question, we should ideally be able to return the snippets of the blog post that answer the question."
       ]
@@ -478,30 +448,30 @@
         "\n",
         "First we need to define our logic for searching over documents. LangChain defines a [Retriever](/docs/concepts#retrievers) interface which wraps an index that can return relevant `Document`s given a string query.\n",
         "\n",
-        "The most common type of Retriever is the [VectorStoreRetriever](https://v02.api.js.langchain.com/classes/langchain_core.vectorstores.VectorStoreRetriever.html), which uses the similarity search capabilities of a vector store to facilitate retrieval. Any `VectorStore` can easily be turned into a `Retriever` with `VectorStore.asRetriever()`:"
+        "The most common type of Retriever is the [VectorStoreRetriever](https://api.js.langchain.com/classes/langchain_core.vectorstores.VectorStoreRetriever.html), which uses the similarity search capabilities of a vector store to facilitate retrieval. Any `VectorStore` can easily be turned into a `Retriever` with `VectorStore.asRetriever()`:"
       ]
     },
     {
       "cell_type": "code",
-      "execution_count": 21,
+      "execution_count": 12,
       "metadata": {},
       "outputs": [],
       "source": [
-        "const retriever = vectorStore.asRetriever({ k: 6, searchType: \"similarity\" });"
+        "const vectorStoreRetriever = inMemoryVectorStore.asRetriever({ k: 6, searchType: \"similarity\" });"
       ]
     },
     {
       "cell_type": "code",
-      "execution_count": 22,
+      "execution_count": 13,
       "metadata": {},
       "outputs": [],
       "source": [
-        "const retrievedDocs = await retriever.invoke(\"What are the approaches to task decomposition?\");"
+        "const retrievedDocuments = await vectorStoreRetriever.invoke(\"What are the approaches to task decomposition?\");"
       ]
     },
     {
       "cell_type": "code",
-      "execution_count": 23,
+      "execution_count": 14,
       "metadata": {},
       "outputs": [
         {
@@ -513,12 +483,12 @@
         }
       ],
       "source": [
-        "console.log(retrievedDocs.length);"
+        "console.log(retrievedDocuments.length);"
       ]
     },
     {
       "cell_type": "code",
-      "execution_count": 24,
+      "execution_count": 15,
       "metadata": {},
       "outputs": [
         {
@@ -530,7 +500,7 @@
         }
       ],
       "source": [
-        "console.log(retrievedDocs[0].pageContent);"
+        "console.log(retrievedDocuments[0].pageContent);"
       ]
     },
     {
@@ -566,71 +536,56 @@
     },
     {
       "cell_type": "code",
-      "execution_count": 26,
+      "execution_count": 16,
       "metadata": {},
       "outputs": [],
       "source": [
         "import { ChatPromptTemplate } from \"@langchain/core/prompts\";\n",
         "import { pull } from \"langchain/hub\";\n",
         "\n",
-        "const prompt = await pull<ChatPromptTemplate>(\"rlm/rag-prompt\");"
+        "const ragPrompt = await pull<ChatPromptTemplate>(\"rlm/rag-prompt\");"
       ]
     },
     {
       "cell_type": "code",
-      "execution_count": 27,
+      "execution_count": 17,
       "metadata": {},
       "outputs": [
         {
-          "data": {
-            "text/plain": [
-              "ChatPromptValue {\n",
-              "  lc_serializable: \u001b[33mtrue\u001b[39m,\n",
-              "  lc_kwargs: {\n",
-              "    messages: [\n",
-              "      HumanMessage {\n",
-              "        lc_serializable: \u001b[33mtrue\u001b[39m,\n",
-              "        lc_kwargs: {\n",
-              "          content: \u001b[32m\"You are an assistant for question-answering tasks. Use the following pieces of retrieved context to \"\u001b[39m... 197 more characters,\n",
-              "          additional_kwargs: {}\n",
-              "        },\n",
-              "        lc_namespace: [ \u001b[32m\"langchain_core\"\u001b[39m, \u001b[32m\"messages\"\u001b[39m ],\n",
-              "        content: \u001b[32m\"You are an assistant for question-answering tasks. Use the following pieces of retrieved context to \"\u001b[39m... 197 more characters,\n",
-              "        name: \u001b[90mundefined\u001b[39m,\n",
-              "        additional_kwargs: {}\n",
-              "      }\n",
-              "    ]\n",
-              "  },\n",
-              "  lc_namespace: [ \u001b[32m\"langchain_core\"\u001b[39m, \u001b[32m\"prompt_values\"\u001b[39m ],\n",
-              "  messages: [\n",
-              "    HumanMessage {\n",
-              "      lc_serializable: \u001b[33mtrue\u001b[39m,\n",
-              "      lc_kwargs: {\n",
-              "        content: \u001b[32m\"You are an assistant for question-answering tasks. Use the following pieces of retrieved context to \"\u001b[39m... 197 more characters,\n",
-              "        additional_kwargs: {}\n",
-              "      },\n",
-              "      lc_namespace: [ \u001b[32m\"langchain_core\"\u001b[39m, \u001b[32m\"messages\"\u001b[39m ],\n",
-              "      content: \u001b[32m\"You are an assistant for question-answering tasks. Use the following pieces of retrieved context to \"\u001b[39m... 197 more characters,\n",
-              "      name: \u001b[90mundefined\u001b[39m,\n",
-              "      additional_kwargs: {}\n",
-              "    }\n",
-              "  ]\n",
-              "}"
-            ]
-          },
-          "execution_count": 27,
-          "metadata": {},
-          "output_type": "execute_result"
+          "name": "stdout",
+          "output_type": "stream",
+          "text": [
+            "ChatPromptValue {\n",
+            "  lc_serializable: true,\n",
+            "  lc_kwargs: {\n",
+            "    messages: [\n",
+            "      HumanMessage {\n",
+            "        \"content\": \"You are an assistant for question-answering tasks. Use the following pieces of retrieved context to answer the question. If you don't know the answer, just say that you don't know. Use three sentences maximum and keep the answer concise.\\nQuestion: filler question \\nContext: filler context \\nAnswer:\",\n",
+            "        \"additional_kwargs\": {},\n",
+            "        \"response_metadata\": {}\n",
+            "      }\n",
+            "    ]\n",
+            "  },\n",
+            "  lc_namespace: [ 'langchain_core', 'prompt_values' ],\n",
+            "  messages: [\n",
+            "    HumanMessage {\n",
+            "      \"content\": \"You are an assistant for question-answering tasks. Use the following pieces of retrieved context to answer the question. If you don't know the answer, just say that you don't know. Use three sentences maximum and keep the answer concise.\\nQuestion: filler question \\nContext: filler context \\nAnswer:\",\n",
+            "      \"additional_kwargs\": {},\n",
+            "      \"response_metadata\": {}\n",
+            "    }\n",
+            "  ]\n",
+            "}\n"
+          ]
         }
       ],
       "source": [
-        "const exampleMessages = await prompt.invoke({ context: \"filler context\", question: \"filler question\" });\n",
+        "const exampleMessages = await ragPrompt.invoke({ context: \"filler context\", question: \"filler question\" });\n",
         "exampleMessages"
       ]
     },
     {
       "cell_type": "code",
-      "execution_count": 29,
+      "execution_count": 18,
       "metadata": {},
       "outputs": [
         {
@@ -657,7 +612,7 @@
     },
     {
       "cell_type": "code",
-      "execution_count": 31,
+      "execution_count": 22,
       "metadata": {},
       "outputs": [],
       "source": [
@@ -665,20 +620,20 @@
         "import { RunnablePassthrough, RunnableSequence } from \"@langchain/core/runnables\";\n",
         "import { formatDocumentsAsString } from \"langchain/util/document\";\n",
         "\n",
-        "const ragChain = RunnableSequence.from([\n",
+        "const runnableRagChain = RunnableSequence.from([\n",
         "  {\n",
-        "    context: retriever.pipe(formatDocumentsAsString),\n",
+        "    context: vectorStoreRetriever.pipe(formatDocumentsAsString),\n",
         "    question: new RunnablePassthrough(),\n",
         "  },\n",
-        "  prompt,\n",
+        "  ragPrompt,\n",
         "  llm,\n",
-        "  new StringOutputParser()\n",
+        "  new StringOutputParser(),\n",
         "]);"
       ]
     },
     {
       "cell_type": "code",
-      "execution_count": 33,
+      "execution_count": 23,
       "metadata": {},
       "outputs": [
         {
@@ -694,55 +649,32 @@
             " of\n",
             " breaking\n",
             " down\n",
-            " a\n",
-            " complex\n",
-            " task\n",
+            " hard\n",
+            " tasks\n",
             " into\n",
             " smaller\n",
             " and\n",
             " simpler\n",
             " steps\n",
             ".\n",
-            " It\n",
-            " allows\n",
-            " for\n",
-            " easier\n",
-            " management\n",
-            " and\n",
-            " interpretation\n",
-            " of\n",
-            " the\n",
-            " model\n",
-            "'s\n",
-            " thinking\n",
-            " process\n",
-            ".\n",
-            " Different\n",
-            " approaches\n",
-            ",\n",
-            " such\n",
-            " as\n",
-            " Chain\n",
-            " of\n",
-            " Thought\n",
-            " (\n",
-            "Co\n",
+            " Co\n",
             "T\n",
-            ")\n",
             " and\n",
             " Tree\n",
             " of\n",
             " Thoughts\n",
-            ",\n",
-            " can\n",
-            " be\n",
-            " used\n",
-            " to\n",
-            " decom\n",
-            "pose\n",
+            " are\n",
+            " techniques\n",
+            " that\n",
+            " transform\n",
+            " big\n",
             " tasks\n",
-            " and\n",
-            " explore\n",
+            " into\n",
+            " multiple\n",
+            " manageable\n",
+            " tasks\n",
+            " by\n",
+            " exploring\n",
             " multiple\n",
             " reasoning\n",
             " possibilities\n",
@@ -750,12 +682,38 @@
             " each\n",
             " step\n",
             ".\n",
+            " Task\n",
+            " decomposition\n",
+            " can\n",
+            " be\n",
+            " done\n",
+            " through\n",
+            " various\n",
+            " methods\n",
+            " such\n",
+            " as\n",
+            " using\n",
+            " L\n",
+            "LM\n",
+            " with\n",
+            " simple\n",
+            " prompting\n",
+            ",\n",
+            " task\n",
+            "-specific\n",
+            " instructions\n",
+            ",\n",
+            " or\n",
+            " human\n",
+            " inputs\n",
+            ".\n",
+            "\n",
             "\n"
           ]
         }
       ],
       "source": [
-        "for await (const chunk of await ragChain.stream(\"What is task decomposition?\")) {\n",
+        "for await (const chunk of await runnableRagChain.stream(\"What is task decomposition?\")) {\n",
         "  console.log(chunk);\n",
         "}"
       ]
@@ -774,9 +732,9 @@
         "### Go deeper\n",
         "\n",
         "#### Choosing a model\n",
-        "`ChatModel`: An LLM-backed chat model. Takes in a sequence of messages and returns a message. - [Docs](/docs/concepts/#chat-models): Detailed documentation on - [Integrations](/docs/integrations/chat/): 25+ integrations to choose from. - [Interface](https://v02.api.js.langchain.com/classes/langchain_core.language_models_chat_models.BaseChatModel.html): API reference for the base interface.\n",
+        "`ChatModel`: An LLM-backed chat model. Takes in a sequence of messages and returns a message. - [Docs](/docs/concepts/#chat-models): Detailed documentation on - [Integrations](/docs/integrations/chat/): 25+ integrations to choose from. - [Interface](https://api.js.langchain.com/classes/langchain_core.language_models_chat_models.BaseChatModel.html): API reference for the base interface.\n",
         "\n",
-        "`LLM`: A text-in-text-out LLM. Takes in a string and returns a string. - [Docs](/docs/concepts#llms) - [Integrations](/docs/integrations/llms/): 75+ integrations to choose from. - [Interface](https://v02.api.js.langchain.com/classes/langchain_core.language_models_llms.BaseLLM.html): API reference for the base interface.\n",
+        "`LLM`: A text-in-text-out LLM. Takes in a string and returns a string. - [Docs](/docs/concepts#llms) - [Integrations](/docs/integrations/llms/): 75+ integrations to choose from. - [Interface](https://api.js.langchain.com/classes/langchain_core.language_models_llms.BaseLLM.html): API reference for the base interface.\n",
         "\n",
         "See a guide on RAG with locally-running models [here](/docs/tutorials/local_rag/).\n",
         "\n",
@@ -787,25 +745,22 @@
     },
     {
       "cell_type": "code",
-      "execution_count": 4,
+      "execution_count": 25,
       "metadata": {},
       "outputs": [
         {
-          "data": {
-            "text/plain": [
-              "\u001b[32m\"Task decomposition is a technique used to break down complex tasks into smaller and simpler steps. I\"\u001b[39m... 336 more characters"
-            ]
-          },
-          "execution_count": 4,
-          "metadata": {},
-          "output_type": "execute_result"
+          "name": "stdout",
+          "output_type": "stream",
+          "text": [
+            "Task decomposition is the process of breaking down a complex task into smaller and more manageable steps. This can be done through various methods such as using prompting, task-specific instructions, or human inputs. Thanks for asking!\n"
+          ]
         }
       ],
       "source": [
         "import { PromptTemplate } from \"@langchain/core/prompts\";\n",
         "import { createStuffDocumentsChain } from \"langchain/chains/combine_documents\";\n",
         "\n",
-        "const template = `Use the following pieces of context to answer the question at the end.\n",
+        "const customTemplate = `Use the following pieces of context to answer the question at the end.\n",
         "If you don't know the answer, just say that you don't know, don't try to make up an answer.\n",
         "Use three sentences maximum and keep the answer as concise as possible.\n",
         "Always say \"thanks for asking!\" at the end of the answer.\n",
@@ -816,16 +771,16 @@
         "\n",
         "Helpful Answer:`;\n",
         "\n",
-        "const customRagPrompt = PromptTemplate.fromTemplate(template);\n",
+        "const customRagPrompt = PromptTemplate.fromTemplate(customTemplate);\n",
         "\n",
-        "const ragChain = await createStuffDocumentsChain({\n",
-        "  llm,\n",
+        "const customRagChain = await createStuffDocumentsChain({\n",
+        "  llm: llm,\n",
         "  prompt: customRagPrompt,\n",
         "  outputParser: new StringOutputParser(),\n",
         "})\n",
-        "const context = await retriever.invoke(\"what is task decomposition\");\n",
+        "const context = await vectorStoreRetriever.invoke(\"what is task decomposition\");\n",
         "\n",
-        "await ragChain.invoke({\n",
+        "await customRagChain.invoke({\n",
         "  question: \"What is Task Decomposition?\",\n",
         "  context,\n",
         "});"
@@ -855,17 +810,20 @@
   ],
   "metadata": {
     "kernelspec": {
-      "display_name": "Deno",
+      "display_name": "TypeScript",
       "language": "typescript",
-      "name": "deno"
+      "name": "tslab"
     },
     "language_info": {
+      "codemirror_mode": {
+        "mode": "typescript",
+        "name": "javascript",
+        "typescript": true
+      },
       "file_extension": ".ts",
-      "mimetype": "text/x.typescript",
+      "mimetype": "text/typescript",
       "name": "typescript",
-      "nb_converter": "script",
-      "pygments_lexer": "typescript",
-      "version": "5.3.3"
+      "version": "3.7.2"
     }
   },
   "nbformat": 4,
diff --git a/docs/core_docs/docs/tutorials/sql_qa.mdx b/docs/core_docs/docs/tutorials/sql_qa.mdx
index f362ffbcc4aa..60559c31695a 100644
--- a/docs/core_docs/docs/tutorials/sql_qa.mdx
+++ b/docs/core_docs/docs/tutorials/sql_qa.mdx
@@ -40,7 +40,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm i langchain @langchain/community @langchain/openai
+npm i langchain @langchain/community @langchain/openai @langchain/core
 ```
 
 We default to OpenAI models in this guide.
@@ -69,7 +69,7 @@ Let's create a simple chain that takes a question, turns it into a SQL query, ex
 
 ### Convert question to SQL query
 
-The first step in a SQL chain or agent is to take the user input and convert it to a SQL query. LangChain comes with a built-in chain for this: [`createSqlQueryChain`](https://v02.api.js.langchain.com/functions/langchain.chains_sql_db.createSqlQueryChain.html)
+The first step in a SQL chain or agent is to take the user input and convert it to a SQL query. LangChain comes with a built-in chain for this: [`createSqlQueryChain`](https://api.js.langchain.com/functions/langchain.chains_sql_db.createSqlQueryChain.html)
 
 import QuickstartChainExample from "@examples/use_cases/sql/quickstart_chain.ts";
 
@@ -94,7 +94,7 @@ This is the most dangerous part of creating a SQL chain. Consider carefully if i
 Minimize the database connection permissions as much as possible.
 Consider adding a human approval step to you chains before query execution (see below).
 
-We can use the [`QuerySqlTool`](https://v02.api.js.langchain.com/classes/langchain.tools_sql.QuerySqlTool.html) to easily add query execution to our chain:
+We can use the [`QuerySqlTool`](https://api.js.langchain.com/classes/langchain.tools_sql.QuerySqlTool.html) to easily add query execution to our chain:
 
 import QuickstartExecuteExample from "@examples/use_cases/sql/quickstart_execute_sql.ts";
 
@@ -133,8 +133,8 @@ LangChain offers a number of tools and functions that allow you to create SQL Ag
 - It can recover from errors by running a generated query, catching the traceback and regenerating it correctly.
 - It can answer questions that require multiple dependent queries.
 - It will save tokens by only considering the schema from relevant tables.
-- To initialize the agent, we use [`createOpenAIToolsAgent`](https://v02.api.js.langchain.com/functions/langchain.agents.createOpenAIToolsAgent.html) function.
-  This agent contains the [`SqlToolkit`](https://v02.api.js.langchain.com/classes/langchain.agents_toolkits_sql.SqlToolkit.html) which contains tools to:
+- To initialize the agent, we use [`createOpenAIToolsAgent`](https://api.js.langchain.com/functions/langchain.agents.createOpenAIToolsAgent.html) function.
+  This agent contains the [`SqlToolkit`](https://api.js.langchain.com/classes/langchain.agents_toolkits_sql.SqlToolkit.html) which contains tools to:
 - Create and execute queries
 - Check query syntax
 - Retrieve table descriptions
diff --git a/docs/core_docs/docs/tutorials/summarization.mdx b/docs/core_docs/docs/tutorials/summarization.mdx
index 24b5a0eb50b9..26ca4144b106 100644
--- a/docs/core_docs/docs/tutorials/summarization.mdx
+++ b/docs/core_docs/docs/tutorials/summarization.mdx
@@ -26,7 +26,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @langchain/anthropic
+npm install @langchain/anthropic @langchain/core
 ```
 
 <CodeBlock language="typescript">{LoadDocuments}</CodeBlock>
diff --git a/docs/core_docs/docusaurus.config.js b/docs/core_docs/docusaurus.config.js
index 6e56cf2d1959..70bb8eeb561d 100644
--- a/docs/core_docs/docusaurus.config.js
+++ b/docs/core_docs/docusaurus.config.js
@@ -13,7 +13,7 @@ const mdxComponentsPath = path.resolve(__dirname, "docs", "mdx_components");
 const baseLightCodeBlockTheme = require("prism-react-renderer/themes/vsLight");
 const baseDarkCodeBlockTheme = require("prism-react-renderer/themes/vsDark");
 
-const baseUrl = "/v0.2/";
+const baseUrl = "/";
 
 /** @type {import('@docusaurus/types').Config} */
 const config = {
@@ -201,13 +201,17 @@ const config = {
           },
           {
             type: "dropdown",
-            label: "v0.2",
+            label: "v0.3",
             position: "right",
             items: [
               {
-                label: "v0.2",
+                label: "v0.3",
                 href: "/docs/introduction",
               },
+              {
+                label: "v0.2",
+                href: "https://js.langchain.com/v0.2/docs/introduction",
+              },
               {
                 label: "v0.1",
                 href: "https://js.langchain.com/v0.1/docs/get_started/introduction",
diff --git a/docs/core_docs/package.json b/docs/core_docs/package.json
index ee79afc2e105..59617c110f86 100644
--- a/docs/core_docs/package.json
+++ b/docs/core_docs/package.json
@@ -6,7 +6,7 @@
     "docusaurus": "docusaurus",
     "start": "yarn quarto && rimraf ./docs/api && NODE_OPTIONS=--max-old-space-size=7168 docusaurus start",
     "build": "yarn clean && yarn quarto && rimraf ./build && NODE_OPTIONS=--max-old-space-size=7168 DOCUSAURUS_SSR_CONCURRENCY=4 docusaurus build",
-    "build:vercel": "yarn clean && bash ./scripts/vercel_build.sh && yarn quarto:vercel && rimraf ./build && NODE_OPTIONS=--max-old-space-size=7168 DOCUSAURUS_SSR_CONCURRENCY=4 docusaurus build && mv build v0.2 && mkdir build && mv v0.2 build && mv build/v0.2/404.html build",
+    "build:vercel": "yarn clean && bash ./scripts/vercel_build.sh && yarn quarto:vercel && rimraf ./build && NODE_OPTIONS=--max-old-space-size=7168 DOCUSAURUS_SSR_CONCURRENCY=4 docusaurus build",
     "swizzle": "docusaurus swizzle",
     "deploy": "docusaurus deploy",
     "clear": "docusaurus clear",
diff --git a/docs/core_docs/scripts/code-block-loader.js b/docs/core_docs/scripts/code-block-loader.js
index ac0e4bcce822..f023faf02eb3 100644
--- a/docs/core_docs/scripts/code-block-loader.js
+++ b/docs/core_docs/scripts/code-block-loader.js
@@ -89,7 +89,7 @@ const SYMBOLS_TO_SKIP_MAP = {
  */
 async function webpackLoader(content, map, meta) {
   const cb = this.async();
-  const BASE_URL = "https://v02.api.js.langchain.com";
+  const BASE_URL = "https://api.js.langchain.com";
   // Directories generated inside the API docs (excluding "modules").
   const CATEGORIES = [
     "classes",
diff --git a/docs/core_docs/src/theme/ChatModelTabs.js b/docs/core_docs/src/theme/ChatModelTabs.js
index 5f57b3153649..67dbc7125153 100644
--- a/docs/core_docs/src/theme/ChatModelTabs.js
+++ b/docs/core_docs/src/theme/ChatModelTabs.js
@@ -12,7 +12,7 @@ function InstallationInfo({ children }) {
       <Admonition type="tip">
         <p>
           See{" "}
-          <a href="/docs/get_started/installation#installing-integration-packages">
+          <a href="/docs/how_to/installation/#installing-integration-packages">
             this section for general instructions on installing integration
             packages
           </a>
diff --git a/docs/core_docs/vercel.json b/docs/core_docs/vercel.json
index cbd60287cabe..6f35f9b8ec32 100644
--- a/docs/core_docs/vercel.json
+++ b/docs/core_docs/vercel.json
@@ -8,46 +8,26 @@
       "destination": "https://langchainjs-v01.vercel.app/v0.1/:path*"
     },
     {
-      "source": "/robots.txt(/?)",
-      "destination": "/v0.2/robots.txt/"
-    },
-    {
-      "source": "/sitemap.xml(/?)",
-      "destination": "/v0.2/sitemap.xml/"
+      "source": "/v0.2/:path(.*/?)*",
+      "destination": "https://langchainjs-v02.vercel.app/v0.2/:path*"
     }
   ],
   "redirects": [
     {
-      "source": "/",
-      "destination": "/v0.2/docs/introduction/"
-    },
-    {
-      "source": "/v0.1",
-      "destination": "/"
+      "source": "/docs/how_to/callbacks_backgrounding(/?)",
+      "destination": "/docs/how_to/callbacks_serverless/"
     },
     {
-      "source": "/v0.2/docs/get_started/introduction(/?)",
-      "destination": "/v0.2/docs/introduction/"
+      "source": "/docs/get_started/introduction(/?)",
+      "destination": "/docs/introduction/"
     },
     {
       "source": "/docs(/?)",
-      "destination": "/v0.2/docs/introduction/"
+      "destination": "/docs/introduction/"
     },
     {
       "source": "/docs/get_started/introduction(/?)",
-      "destination": "/v0.2/docs/introduction/"
-    },
-    {
-      "source": "/v0.2/docs(/?)",
-      "destination": "/v0.2/docs/introduction/"
-    },
-    {
-      "source": "/docs/integrations/:path(.*/?)*",
-      "destination": "/v0.2/docs/integrations/:path*"
-    },
-    {
-      "source": "/docs/:path(.*/?)*",
-      "destination": "/v0.1/docs/:path*"
+      "destination": "/docs/introduction/"
     },
     {
       "source": "/docs/how_to/tool_calls_multi_modal(/?)",
@@ -62,24 +42,28 @@
       "destination": "https://docs.smith.langchain.com/"
     },
     {
-      "source": "/v0.2/docs/integrations/chat/chrome_ai(/?)",
-      "destination": "/v0.2/docs/integrations/llms/chrome_ai/"
+      "source": "/docs/integrations/chat/chrome_ai(/?)",
+      "destination": "/docs/integrations/llms/chrome_ai/"
+    },
+    {
+      "source": "/docs/integrations/retrievers/vectorstore(/?)",
+      "destination": "/docs/how_to/vectorstore_retriever/"
     },
     {
-      "source": "/v0.2/docs/integrations/retrievers/vectorstore(/?)",
-      "destination": "/v0.2/docs/how_to/vectorstore_retriever/"
+      "source": "/docs/integrations/chat_memory(/?)",
+      "destination": "/docs/integrations/memory/"
     },
     {
-      "source": "/v0.2/docs/integrations/chat_memory(/?)",
-      "destination": "/v0.2/docs/integrations/memory/"
+      "source": "/docs/integrations/chat_memory/:path(.*/?)*",
+      "destination": "/docs/integrations/memory/:path*"
     },
     {
-      "source": "/v0.2/docs/integrations/chat_memory/:path(.*/?)*",
-      "destination": "/v0.2/docs/integrations/memory/:path*"
+      "source": "/docs/integrations/llms/togetherai(/?)",
+      "destination": "/docs/integrations/llms/together/"
     },
     {
-      "source": "/v0.2/docs/integrations/llms/togetherai(/?)",
-      "destination": "/v0.2/docs/integrations/llms/together/"
+      "source": "/docs/tutorials/agents(/?)",
+      "destination": "https://langchain-ai.github.io/langgraphjs/tutorials/quickstart/"
     }
   ]
 }
diff --git a/environment_tests/test-exports-bun/src/entrypoints.js b/environment_tests/test-exports-bun/src/entrypoints.js
index 0127a63d1c08..ae69f67ccf3a 100644
--- a/environment_tests/test-exports-bun/src/entrypoints.js
+++ b/environment_tests/test-exports-bun/src/entrypoints.js
@@ -25,13 +25,9 @@ export * from "langchain/embeddings/fake";
 export * from "langchain/vectorstores/memory";
 export * from "langchain/text_splitter";
 export * from "langchain/memory";
-export * from "langchain/memory/index";
 export * from "langchain/memory/chat_memory";
 export * from "langchain/document";
 export * from "langchain/document_loaders/base";
-export * from "langchain/document_loaders/web/searchapi";
-export * from "langchain/document_loaders/web/serpapi";
-export * from "langchain/document_loaders/web/sort_xyz_blockchain";
 export * from "langchain/document_transformers/openai_functions";
 export * from "langchain/callbacks";
 export * from "langchain/output_parsers";
@@ -46,11 +42,6 @@ export * from "langchain/retrievers/document_compressors/chain_extract";
 export * from "langchain/retrievers/document_compressors/embeddings_filter";
 export * from "langchain/retrievers/hyde";
 export * from "langchain/retrievers/score_threshold";
-export * from "langchain/retrievers/self_query/chroma";
-export * from "langchain/retrievers/self_query/pinecone";
-export * from "langchain/retrievers/self_query/supabase";
-export * from "langchain/retrievers/self_query/weaviate";
-export * from "langchain/retrievers/self_query/vectara";
 export * from "langchain/retrievers/matryoshka_retriever";
 export * from "langchain/stores/doc/base";
 export * from "langchain/stores/doc/in_memory";
diff --git a/environment_tests/test-exports-cf/src/entrypoints.js b/environment_tests/test-exports-cf/src/entrypoints.js
index 0127a63d1c08..ae69f67ccf3a 100644
--- a/environment_tests/test-exports-cf/src/entrypoints.js
+++ b/environment_tests/test-exports-cf/src/entrypoints.js
@@ -25,13 +25,9 @@ export * from "langchain/embeddings/fake";
 export * from "langchain/vectorstores/memory";
 export * from "langchain/text_splitter";
 export * from "langchain/memory";
-export * from "langchain/memory/index";
 export * from "langchain/memory/chat_memory";
 export * from "langchain/document";
 export * from "langchain/document_loaders/base";
-export * from "langchain/document_loaders/web/searchapi";
-export * from "langchain/document_loaders/web/serpapi";
-export * from "langchain/document_loaders/web/sort_xyz_blockchain";
 export * from "langchain/document_transformers/openai_functions";
 export * from "langchain/callbacks";
 export * from "langchain/output_parsers";
@@ -46,11 +42,6 @@ export * from "langchain/retrievers/document_compressors/chain_extract";
 export * from "langchain/retrievers/document_compressors/embeddings_filter";
 export * from "langchain/retrievers/hyde";
 export * from "langchain/retrievers/score_threshold";
-export * from "langchain/retrievers/self_query/chroma";
-export * from "langchain/retrievers/self_query/pinecone";
-export * from "langchain/retrievers/self_query/supabase";
-export * from "langchain/retrievers/self_query/weaviate";
-export * from "langchain/retrievers/self_query/vectara";
 export * from "langchain/retrievers/matryoshka_retriever";
 export * from "langchain/stores/doc/base";
 export * from "langchain/stores/doc/in_memory";
diff --git a/environment_tests/test-exports-cjs/src/entrypoints.js b/environment_tests/test-exports-cjs/src/entrypoints.js
index 5f9a19db39f2..157baa434e7b 100644
--- a/environment_tests/test-exports-cjs/src/entrypoints.js
+++ b/environment_tests/test-exports-cjs/src/entrypoints.js
@@ -25,13 +25,9 @@ const embeddings_fake = require("langchain/embeddings/fake");
 const vectorstores_memory = require("langchain/vectorstores/memory");
 const text_splitter = require("langchain/text_splitter");
 const memory = require("langchain/memory");
-const memory_index = require("langchain/memory/index");
 const memory_chat_memory = require("langchain/memory/chat_memory");
 const document = require("langchain/document");
 const document_loaders_base = require("langchain/document_loaders/base");
-const document_loaders_web_searchapi = require("langchain/document_loaders/web/searchapi");
-const document_loaders_web_serpapi = require("langchain/document_loaders/web/serpapi");
-const document_loaders_web_sort_xyz_blockchain = require("langchain/document_loaders/web/sort_xyz_blockchain");
 const document_transformers_openai_functions = require("langchain/document_transformers/openai_functions");
 const callbacks = require("langchain/callbacks");
 const output_parsers = require("langchain/output_parsers");
@@ -46,11 +42,6 @@ const retrievers_document_compressors_chain_extract = require("langchain/retriev
 const retrievers_document_compressors_embeddings_filter = require("langchain/retrievers/document_compressors/embeddings_filter");
 const retrievers_hyde = require("langchain/retrievers/hyde");
 const retrievers_score_threshold = require("langchain/retrievers/score_threshold");
-const retrievers_self_query_chroma = require("langchain/retrievers/self_query/chroma");
-const retrievers_self_query_pinecone = require("langchain/retrievers/self_query/pinecone");
-const retrievers_self_query_supabase = require("langchain/retrievers/self_query/supabase");
-const retrievers_self_query_weaviate = require("langchain/retrievers/self_query/weaviate");
-const retrievers_self_query_vectara = require("langchain/retrievers/self_query/vectara");
 const retrievers_matryoshka_retriever = require("langchain/retrievers/matryoshka_retriever");
 const stores_doc_base = require("langchain/stores/doc/base");
 const stores_doc_in_memory = require("langchain/stores/doc/in_memory");
diff --git a/environment_tests/test-exports-esbuild/src/entrypoints.js b/environment_tests/test-exports-esbuild/src/entrypoints.js
index d3b76a743d8a..ee8bfc80da3c 100644
--- a/environment_tests/test-exports-esbuild/src/entrypoints.js
+++ b/environment_tests/test-exports-esbuild/src/entrypoints.js
@@ -25,13 +25,9 @@ import * as embeddings_fake from "langchain/embeddings/fake";
 import * as vectorstores_memory from "langchain/vectorstores/memory";
 import * as text_splitter from "langchain/text_splitter";
 import * as memory from "langchain/memory";
-import * as memory_index from "langchain/memory/index";
 import * as memory_chat_memory from "langchain/memory/chat_memory";
 import * as document from "langchain/document";
 import * as document_loaders_base from "langchain/document_loaders/base";
-import * as document_loaders_web_searchapi from "langchain/document_loaders/web/searchapi";
-import * as document_loaders_web_serpapi from "langchain/document_loaders/web/serpapi";
-import * as document_loaders_web_sort_xyz_blockchain from "langchain/document_loaders/web/sort_xyz_blockchain";
 import * as document_transformers_openai_functions from "langchain/document_transformers/openai_functions";
 import * as callbacks from "langchain/callbacks";
 import * as output_parsers from "langchain/output_parsers";
@@ -46,11 +42,6 @@ import * as retrievers_document_compressors_chain_extract from "langchain/retrie
 import * as retrievers_document_compressors_embeddings_filter from "langchain/retrievers/document_compressors/embeddings_filter";
 import * as retrievers_hyde from "langchain/retrievers/hyde";
 import * as retrievers_score_threshold from "langchain/retrievers/score_threshold";
-import * as retrievers_self_query_chroma from "langchain/retrievers/self_query/chroma";
-import * as retrievers_self_query_pinecone from "langchain/retrievers/self_query/pinecone";
-import * as retrievers_self_query_supabase from "langchain/retrievers/self_query/supabase";
-import * as retrievers_self_query_weaviate from "langchain/retrievers/self_query/weaviate";
-import * as retrievers_self_query_vectara from "langchain/retrievers/self_query/vectara";
 import * as retrievers_matryoshka_retriever from "langchain/retrievers/matryoshka_retriever";
 import * as stores_doc_base from "langchain/stores/doc/base";
 import * as stores_doc_in_memory from "langchain/stores/doc/in_memory";
diff --git a/environment_tests/test-exports-esm/src/entrypoints.js b/environment_tests/test-exports-esm/src/entrypoints.js
index d3b76a743d8a..ee8bfc80da3c 100644
--- a/environment_tests/test-exports-esm/src/entrypoints.js
+++ b/environment_tests/test-exports-esm/src/entrypoints.js
@@ -25,13 +25,9 @@ import * as embeddings_fake from "langchain/embeddings/fake";
 import * as vectorstores_memory from "langchain/vectorstores/memory";
 import * as text_splitter from "langchain/text_splitter";
 import * as memory from "langchain/memory";
-import * as memory_index from "langchain/memory/index";
 import * as memory_chat_memory from "langchain/memory/chat_memory";
 import * as document from "langchain/document";
 import * as document_loaders_base from "langchain/document_loaders/base";
-import * as document_loaders_web_searchapi from "langchain/document_loaders/web/searchapi";
-import * as document_loaders_web_serpapi from "langchain/document_loaders/web/serpapi";
-import * as document_loaders_web_sort_xyz_blockchain from "langchain/document_loaders/web/sort_xyz_blockchain";
 import * as document_transformers_openai_functions from "langchain/document_transformers/openai_functions";
 import * as callbacks from "langchain/callbacks";
 import * as output_parsers from "langchain/output_parsers";
@@ -46,11 +42,6 @@ import * as retrievers_document_compressors_chain_extract from "langchain/retrie
 import * as retrievers_document_compressors_embeddings_filter from "langchain/retrievers/document_compressors/embeddings_filter";
 import * as retrievers_hyde from "langchain/retrievers/hyde";
 import * as retrievers_score_threshold from "langchain/retrievers/score_threshold";
-import * as retrievers_self_query_chroma from "langchain/retrievers/self_query/chroma";
-import * as retrievers_self_query_pinecone from "langchain/retrievers/self_query/pinecone";
-import * as retrievers_self_query_supabase from "langchain/retrievers/self_query/supabase";
-import * as retrievers_self_query_weaviate from "langchain/retrievers/self_query/weaviate";
-import * as retrievers_self_query_vectara from "langchain/retrievers/self_query/vectara";
 import * as retrievers_matryoshka_retriever from "langchain/retrievers/matryoshka_retriever";
 import * as stores_doc_base from "langchain/stores/doc/base";
 import * as stores_doc_in_memory from "langchain/stores/doc/in_memory";
diff --git a/environment_tests/test-exports-vercel/package.json b/environment_tests/test-exports-vercel/package.json
index fcf41e67537a..c3adfd63ac3e 100644
--- a/environment_tests/test-exports-vercel/package.json
+++ b/environment_tests/test-exports-vercel/package.json
@@ -26,8 +26,5 @@
     "react": "18.2.0",
     "react-dom": "18.2.0",
     "typescript": "^5.0.0"
-  },
-  "resolutions": {
-    "@langchain/core": "~0.2.0"
   }
 }
diff --git a/environment_tests/test-exports-vercel/src/entrypoints.js b/environment_tests/test-exports-vercel/src/entrypoints.js
index 0127a63d1c08..ae69f67ccf3a 100644
--- a/environment_tests/test-exports-vercel/src/entrypoints.js
+++ b/environment_tests/test-exports-vercel/src/entrypoints.js
@@ -25,13 +25,9 @@ export * from "langchain/embeddings/fake";
 export * from "langchain/vectorstores/memory";
 export * from "langchain/text_splitter";
 export * from "langchain/memory";
-export * from "langchain/memory/index";
 export * from "langchain/memory/chat_memory";
 export * from "langchain/document";
 export * from "langchain/document_loaders/base";
-export * from "langchain/document_loaders/web/searchapi";
-export * from "langchain/document_loaders/web/serpapi";
-export * from "langchain/document_loaders/web/sort_xyz_blockchain";
 export * from "langchain/document_transformers/openai_functions";
 export * from "langchain/callbacks";
 export * from "langchain/output_parsers";
@@ -46,11 +42,6 @@ export * from "langchain/retrievers/document_compressors/chain_extract";
 export * from "langchain/retrievers/document_compressors/embeddings_filter";
 export * from "langchain/retrievers/hyde";
 export * from "langchain/retrievers/score_threshold";
-export * from "langchain/retrievers/self_query/chroma";
-export * from "langchain/retrievers/self_query/pinecone";
-export * from "langchain/retrievers/self_query/supabase";
-export * from "langchain/retrievers/self_query/weaviate";
-export * from "langchain/retrievers/self_query/vectara";
 export * from "langchain/retrievers/matryoshka_retriever";
 export * from "langchain/stores/doc/base";
 export * from "langchain/stores/doc/in_memory";
diff --git a/environment_tests/test-exports-vite/package.json b/environment_tests/test-exports-vite/package.json
index aaab92df3504..178d95a49ead 100644
--- a/environment_tests/test-exports-vite/package.json
+++ b/environment_tests/test-exports-vite/package.json
@@ -20,8 +20,5 @@
     "langchain": "workspace:*",
     "typescript": "^5.0.0",
     "vite": "^4.2.0"
-  },
-  "resolutions": {
-    "@langchain/core": "~0.2.0"
   }
 }
diff --git a/environment_tests/test-exports-vite/src/entrypoints.js b/environment_tests/test-exports-vite/src/entrypoints.js
index 0127a63d1c08..ae69f67ccf3a 100644
--- a/environment_tests/test-exports-vite/src/entrypoints.js
+++ b/environment_tests/test-exports-vite/src/entrypoints.js
@@ -25,13 +25,9 @@ export * from "langchain/embeddings/fake";
 export * from "langchain/vectorstores/memory";
 export * from "langchain/text_splitter";
 export * from "langchain/memory";
-export * from "langchain/memory/index";
 export * from "langchain/memory/chat_memory";
 export * from "langchain/document";
 export * from "langchain/document_loaders/base";
-export * from "langchain/document_loaders/web/searchapi";
-export * from "langchain/document_loaders/web/serpapi";
-export * from "langchain/document_loaders/web/sort_xyz_blockchain";
 export * from "langchain/document_transformers/openai_functions";
 export * from "langchain/callbacks";
 export * from "langchain/output_parsers";
@@ -46,11 +42,6 @@ export * from "langchain/retrievers/document_compressors/chain_extract";
 export * from "langchain/retrievers/document_compressors/embeddings_filter";
 export * from "langchain/retrievers/hyde";
 export * from "langchain/retrievers/score_threshold";
-export * from "langchain/retrievers/self_query/chroma";
-export * from "langchain/retrievers/self_query/pinecone";
-export * from "langchain/retrievers/self_query/supabase";
-export * from "langchain/retrievers/self_query/weaviate";
-export * from "langchain/retrievers/self_query/vectara";
 export * from "langchain/retrievers/matryoshka_retriever";
 export * from "langchain/stores/doc/base";
 export * from "langchain/stores/doc/in_memory";
diff --git a/examples/src/chains/map_reduce_lcel.ts b/examples/src/chains/map_reduce_lcel.ts
index 33ab2fd95042..068694102cc6 100644
--- a/examples/src/chains/map_reduce_lcel.ts
+++ b/examples/src/chains/map_reduce_lcel.ts
@@ -5,10 +5,10 @@ import {
 import { ChatOpenAI } from "@langchain/openai";
 import { formatDocument } from "langchain/schema/prompt_template";
 import {
+  RunnableConfig,
   RunnablePassthrough,
   RunnableSequence,
 } from "@langchain/core/runnables";
-import { BaseCallbackConfig } from "@langchain/core/callbacks/manager";
 import { Document } from "@langchain/core/documents";
 import { PromptTemplate } from "@langchain/core/prompts";
 import { StringOutputParser } from "@langchain/core/output_parsers";
@@ -62,12 +62,10 @@ const collapseChain = RunnableSequence.from([
 // Define a function to collapse a list of documents until the total number of tokens is within the limit
 const collapse = async (
   documents: Document[],
-  options?: {
-    config?: BaseCallbackConfig;
-  },
+  options?: RunnableConfig,
   tokenMax = 4000
 ) => {
-  const editableConfig = options?.config;
+  const editableConfig = options;
   let docs = documents;
   let collapseCount = 1;
   while ((await getNumTokens(docs)) > tokenMax) {
diff --git a/examples/src/document_loaders/example_data/notion.md b/examples/src/document_loaders/example_data/notion.md
index 0355119a4c0b..083f738293e8 100644
--- a/examples/src/document_loaders/example_data/notion.md
+++ b/examples/src/document_loaders/example_data/notion.md
@@ -32,7 +32,7 @@ The [LangChainHub](https://github.com/hwchase17/langchain-hub) is a central plac
 
 ## 📖 Documentation
 
-For full documentation of prompts, chains, agents and more, please see [here](https://js.langchain.com/v0.2/docs/introduction).
+For full documentation of prompts, chains, agents and more, please see [here](https://js.langchain.com/docs/introduction).
 
 ## 💁 Contributing
 
diff --git a/examples/src/document_loaders/notiondb.ts b/examples/src/document_loaders/notiondb.ts
deleted file mode 100644
index 4ce4b30b91a1..000000000000
--- a/examples/src/document_loaders/notiondb.ts
+++ /dev/null
@@ -1,10 +0,0 @@
-import { NotionDBLoader } from "langchain/document_loaders/web/notiondb";
-
-const loader = new NotionDBLoader({
-  pageSizeLimit: 10,
-  databaseId: "databaseId",
-  notionIntegrationToken: "<your token here>", // Or set as process.env.NOTION_INTEGRATION_TOKEN
-});
-const docs = await loader.load();
-
-console.log({ docs });
diff --git a/examples/src/guides/fallbacks/better_model.ts b/examples/src/guides/fallbacks/better_model.ts
index 3ed1a65a2d0a..dcd5bc48700a 100644
--- a/examples/src/guides/fallbacks/better_model.ts
+++ b/examples/src/guides/fallbacks/better_model.ts
@@ -39,9 +39,7 @@ try {
 */
 }
 
-const chain = badChain.withFallbacks({
-  fallbacks: [goodChain],
-});
+const chain = badChain.withFallbacks([goodChain]);
 
 const result = await chain.invoke({
   input: "testing",
diff --git a/examples/src/guides/fallbacks/chain.ts b/examples/src/guides/fallbacks/chain.ts
index 2573c2ac8792..c84dffe3fa72 100644
--- a/examples/src/guides/fallbacks/chain.ts
+++ b/examples/src/guides/fallbacks/chain.ts
@@ -31,9 +31,7 @@ const badChain = chatPrompt.pipe(fakeOpenAIChatModel).pipe(outputParser);
 
 const goodChain = prompt.pipe(openAILLM).pipe(outputParser);
 
-const chain = badChain.withFallbacks({
-  fallbacks: [goodChain],
-});
+const chain = badChain.withFallbacks([goodChain]);
 
 const result = await chain.invoke({
   animal: "dragon",
diff --git a/examples/src/guides/fallbacks/long_inputs.ts b/examples/src/guides/fallbacks/long_inputs.ts
index e571ad193506..6bbc02b20efe 100644
--- a/examples/src/guides/fallbacks/long_inputs.ts
+++ b/examples/src/guides/fallbacks/long_inputs.ts
@@ -10,9 +10,7 @@ const longerLlm = new ChatOpenAI({
   model: "gpt-3.5-turbo-16k",
 });
 
-const modelWithFallback = shorterLlm.withFallbacks({
-  fallbacks: [longerLlm],
-});
+const modelWithFallback = shorterLlm.withFallbacks([longerLlm]);
 
 const input = `What is the next number: ${"one, two, ".repeat(3000)}`;
 
diff --git a/examples/src/guides/fallbacks/model.ts b/examples/src/guides/fallbacks/model.ts
index ac69234ceffe..67ee8d298312 100644
--- a/examples/src/guides/fallbacks/model.ts
+++ b/examples/src/guides/fallbacks/model.ts
@@ -9,9 +9,7 @@ const fakeOpenAIModel = new ChatOpenAI({
 
 const anthropicModel = new ChatAnthropic({});
 
-const modelWithFallback = fakeOpenAIModel.withFallbacks({
-  fallbacks: [anthropicModel],
-});
+const modelWithFallback = fakeOpenAIModel.withFallbacks([anthropicModel]);
 
 const result = await modelWithFallback.invoke("What is your name?");
 
diff --git a/examples/src/llms/googlevertexai-code-bison_legacy.ts b/examples/src/llms/googlevertexai-code-bison_legacy.ts
deleted file mode 100644
index 33f56db98851..000000000000
--- a/examples/src/llms/googlevertexai-code-bison_legacy.ts
+++ /dev/null
@@ -1,23 +0,0 @@
-import { GoogleVertexAI } from "@langchain/community/llms/googlevertexai";
-
-/*
- * Before running this, you should make sure you have created a
- * Google Cloud Project that is permitted to the Vertex AI API.
- *
- * You will also need permission to access this project / API.
- * Typically, this is done in one of three ways:
- * - You are logged into an account permitted to that project.
- * - You are running this on a machine using a service account permitted to
- *   the project.
- * - The `GOOGLE_APPLICATION_CREDENTIALS` environment variable is set to the
- *   path of a credentials file for a service account permitted to the project.
- */
-
-const model = new GoogleVertexAI({
-  model: "code-bison",
-  maxOutputTokens: 2048,
-});
-const res = await model.invoke(
-  "A Javascript function that counts from 1 to 10."
-);
-console.log({ res });
diff --git a/examples/src/llms/googlevertexai-code-gecko_legacy.ts b/examples/src/llms/googlevertexai-code-gecko_legacy.ts
deleted file mode 100644
index d75f2c017efe..000000000000
--- a/examples/src/llms/googlevertexai-code-gecko_legacy.ts
+++ /dev/null
@@ -1,20 +0,0 @@
-import { GoogleVertexAI } from "@langchain/community/llms/googlevertexai";
-
-/*
- * Before running this, you should make sure you have created a
- * Google Cloud Project that is permitted to the Vertex AI API.
- *
- * You will also need permission to access this project / API.
- * Typically, this is done in one of three ways:
- * - You are logged into an account permitted to that project.
- * - You are running this on a machine using a service account permitted to
- *   the project.
- * - The `GOOGLE_APPLICATION_CREDENTIALS` environment variable is set to the
- *   path of a credentials file for a service account permitted to the project.
- */
-
-const model = new GoogleVertexAI({
-  model: "code-gecko",
-});
-const res = await model.invoke("for (let co=0;");
-console.log({ res });
diff --git a/examples/src/llms/googlevertexai-streaming_legacy.ts b/examples/src/llms/googlevertexai-streaming_legacy.ts
deleted file mode 100644
index 9f8aae39e92e..000000000000
--- a/examples/src/llms/googlevertexai-streaming_legacy.ts
+++ /dev/null
@@ -1,44 +0,0 @@
-import { GoogleVertexAI } from "@langchain/community/llms/googlevertexai";
-
-const model = new GoogleVertexAI({
-  temperature: 0.7,
-});
-const stream = await model.stream(
-  "What would be a good company name for a company that makes colorful socks?"
-);
-
-for await (const chunk of stream) {
-  console.log("\n---------\nChunk:\n---------\n", chunk);
-}
-
-/*
-  ---------
-  Chunk:
-  ---------
-    1. Toe-tally Awesome Socks
-  2. The Sock Drawer
-  3. Happy Feet
-  4. 
-
-  ---------
-  Chunk:
-  ---------
-  Sock It to Me
-  5. Crazy Color Socks
-  6. Wild and Wacky Socks
-  7. Fu
-
-  ---------
-  Chunk:
-  ---------
-  nky Feet
-  8. Mismatched Socks
-  9. Rainbow Socks
-  10. Sole Mates
-
-  ---------
-  Chunk:
-  ---------
-  
-
-*/
diff --git a/examples/src/llms/googlevertexai_legacy.ts b/examples/src/llms/googlevertexai_legacy.ts
deleted file mode 100644
index 1e9fd256d71c..000000000000
--- a/examples/src/llms/googlevertexai_legacy.ts
+++ /dev/null
@@ -1,23 +0,0 @@
-import { GoogleVertexAI } from "@langchain/community/llms/googlevertexai";
-// Or, if using the web entrypoint:
-// import { GoogleVertexAI } from "@langchain/community/llms/googlevertexai/web";
-
-/*
- * Before running this, you should make sure you have created a
- * Google Cloud Project that is permitted to the Vertex AI API.
- *
- * You will also need permission to access this project / API.
- * Typically, this is done in one of three ways:
- * - You are logged into an account permitted to that project.
- * - You are running this on a machine using a service account permitted to
- *   the project.
- * - The `GOOGLE_APPLICATION_CREDENTIALS` environment variable is set to the
- *   path of a credentials file for a service account permitted to the project.
- */
-const model = new GoogleVertexAI({
-  temperature: 0.7,
-});
-const res = await model.invoke(
-  "What would be a good company name for a company that makes colorful socks?"
-);
-console.log({ res });
diff --git a/examples/src/models/chat/integration_googlepalm.ts b/examples/src/models/chat/integration_googlepalm.ts
deleted file mode 100644
index 5b0d5c1dcd41..000000000000
--- a/examples/src/models/chat/integration_googlepalm.ts
+++ /dev/null
@@ -1,35 +0,0 @@
-import { ChatGooglePaLM } from "@langchain/community/chat_models/googlepalm";
-import {
-  AIMessage,
-  HumanMessage,
-  SystemMessage,
-} from "@langchain/core/messages";
-
-export const run = async () => {
-  const model = new ChatGooglePaLM({
-    apiKey: "<YOUR API KEY>", // or set it in environment variable as `GOOGLE_PALM_API_KEY`
-    temperature: 0.7, // OPTIONAL
-    model: "models/chat-bison-001", // OPTIONAL
-    topK: 40, // OPTIONAL
-    topP: 1, // OPTIONAL
-    examples: [
-      // OPTIONAL
-      {
-        input: new HumanMessage("What is your favorite sock color?"),
-        output: new AIMessage("My favorite sock color be arrrr-ange!"),
-      },
-    ],
-  });
-
-  // ask questions
-  const questions = [
-    new SystemMessage(
-      "You are a funny assistant that answers in pirate language."
-    ),
-    new HumanMessage("What is your favorite food?"),
-  ];
-
-  // You can also use the model as part of a chain
-  const res = await model.invoke(questions);
-  console.log({ res });
-};
diff --git a/examples/src/models/chat/integration_googlevertexai-examples_legacy.ts b/examples/src/models/chat/integration_googlevertexai-examples_legacy.ts
deleted file mode 100644
index 4ec5bb447718..000000000000
--- a/examples/src/models/chat/integration_googlevertexai-examples_legacy.ts
+++ /dev/null
@@ -1,29 +0,0 @@
-import { ChatGoogleVertexAI } from "@langchain/community/chat_models/googlevertexai";
-import {
-  AIMessage,
-  HumanMessage,
-  SystemMessage,
-} from "@langchain/core/messages";
-
-// Or, if using the web entrypoint:
-// import { ChatGoogleVertexAI } from "@langchain/community/chat_models/googlevertexai/web";
-
-const examples = [
-  {
-    input: new HumanMessage("What is your favorite sock color?"),
-    output: new AIMessage("My favorite sock color be arrrr-ange!"),
-  },
-];
-const model = new ChatGoogleVertexAI({
-  temperature: 0.7,
-  examples,
-});
-const questions = [
-  new SystemMessage(
-    "You are a funny assistant that answers in pirate language."
-  ),
-  new HumanMessage("What is your favorite food?"),
-];
-// You can also use the model as part of a chain
-const res = await model.invoke(questions);
-console.log({ res });
diff --git a/examples/src/models/chat/integration_googlevertexai-streaming_legacy.ts b/examples/src/models/chat/integration_googlevertexai-streaming_legacy.ts
deleted file mode 100644
index cf071968a735..000000000000
--- a/examples/src/models/chat/integration_googlevertexai-streaming_legacy.ts
+++ /dev/null
@@ -1,31 +0,0 @@
-import { ChatGoogleVertexAI } from "@langchain/community/chat_models/googlevertexai";
-// Or, if using the web entrypoint:
-// import { ChatGoogleVertexAI } from "@langchain/community/chat_models/googlevertexai/web";
-
-const model = new ChatGoogleVertexAI({
-  temperature: 0.7,
-});
-const stream = await model.stream([
-  ["system", "You are a funny assistant that answers in pirate language."],
-  ["human", "What is your favorite food?"],
-]);
-
-for await (const chunk of stream) {
-  console.log(chunk);
-}
-
-/*
-AIMessageChunk {
-  content: ' Ahoy there, matey! My favorite food be fish, cooked any way ye ',
-  additional_kwargs: {}
-}
-AIMessageChunk {
-  content: 'like!',
-  additional_kwargs: {}
-}
-AIMessageChunk {
-  content: '',
-  name: undefined,
-  additional_kwargs: {}
-}
-*/
diff --git a/examples/src/models/chat/integration_googlevertexai_legacy.ts b/examples/src/models/chat/integration_googlevertexai_legacy.ts
deleted file mode 100644
index c6dd65e4e214..000000000000
--- a/examples/src/models/chat/integration_googlevertexai_legacy.ts
+++ /dev/null
@@ -1,7 +0,0 @@
-import { ChatGoogleVertexAI } from "@langchain/community/chat_models/googlevertexai";
-// Or, if using the web entrypoint:
-// import { ChatGoogleVertexAI } from "@langchain/community/chat_models/googlevertexai/web";
-
-const model = new ChatGoogleVertexAI({
-  temperature: 0.7,
-});
diff --git a/examples/src/models/embeddings/googlepalm.ts b/examples/src/models/embeddings/googlepalm.ts
deleted file mode 100644
index 99a09f19ad2b..000000000000
--- a/examples/src/models/embeddings/googlepalm.ts
+++ /dev/null
@@ -1,14 +0,0 @@
-import { GooglePaLMEmbeddings } from "@langchain/community/embeddings/googlepalm";
-
-const model = new GooglePaLMEmbeddings({
-  apiKey: "<YOUR API KEY>", // or set it in environment variable as `GOOGLE_PALM_API_KEY`
-  model: "models/embedding-gecko-001", // OPTIONAL
-});
-/* Embed queries */
-const res = await model.embedQuery(
-  "What would be a good company name for a company that makes colorful socks?"
-);
-console.log({ res });
-/* Embed documents */
-const documentRes = await model.embedDocuments(["Hello world", "Bye bye"]);
-console.log({ documentRes });
diff --git a/examples/src/models/embeddings/googlevertexai.ts b/examples/src/models/embeddings/googlevertexai.ts
deleted file mode 100644
index 2b3b91ca4128..000000000000
--- a/examples/src/models/embeddings/googlevertexai.ts
+++ /dev/null
@@ -1,9 +0,0 @@
-import { GoogleVertexAIEmbeddings } from "@langchain/community/embeddings/googlevertexai";
-
-export const run = async () => {
-  const model = new GoogleVertexAIEmbeddings();
-  const res = await model.embedQuery(
-    "What would be a good company name for a company that makes colorful socks?"
-  );
-  console.log({ res });
-};
diff --git a/examples/src/models/llm/googlepalm.ts b/examples/src/models/llm/googlepalm.ts
deleted file mode 100644
index 4e8074e8fb0e..000000000000
--- a/examples/src/models/llm/googlepalm.ts
+++ /dev/null
@@ -1,25 +0,0 @@
-import { GooglePaLM } from "@langchain/community/llms/googlepalm";
-
-export const run = async () => {
-  const model = new GooglePaLM({
-    apiKey: "<YOUR API KEY>", // or set it in environment variable as `GOOGLE_PALM_API_KEY`
-    // other params
-    temperature: 1, // OPTIONAL
-    model: "models/text-bison-001", // OPTIONAL
-    maxOutputTokens: 1024, // OPTIONAL
-    topK: 40, // OPTIONAL
-    topP: 3, // OPTIONAL
-    safetySettings: [
-      // OPTIONAL
-      {
-        category: "HARM_CATEGORY_DANGEROUS",
-        threshold: "BLOCK_MEDIUM_AND_ABOVE",
-      },
-    ],
-    stopSequences: ["stop"], // OPTIONAL
-  });
-  const res = await model.invoke(
-    "What would be a good company name for a company that makes colorful socks?"
-  );
-  console.log({ res });
-};
diff --git a/examples/src/tools/pyinterpreter.ts b/examples/src/tools/pyinterpreter.ts
index 131ef6050636..71e98b5c44ad 100644
--- a/examples/src/tools/pyinterpreter.ts
+++ b/examples/src/tools/pyinterpreter.ts
@@ -1,5 +1,5 @@
 import { OpenAI } from "@langchain/openai";
-import { PythonInterpreterTool } from "langchain/experimental/tools/pyinterpreter";
+import { PythonInterpreterTool } from "@langchain/community/experimental/tools/pyinterpreter";
 import { ChatPromptTemplate } from "@langchain/core/prompts";
 import { StringOutputParser } from "@langchain/core/output_parsers";
 
@@ -15,7 +15,7 @@ const interpreter = await PythonInterpreterTool.initialize({
 
 // Note: In Deno, it may be easier to initialize the interpreter yourself:
 // import pyodideModule from "npm:pyodide/pyodide.js";
-// import { PythonInterpreterTool } from "npm:langchain/experimental/tools/pyinterpreter";
+// import { PythonInterpreterTool } from "npm:@langchain/community/experimental/tools/pyinterpreter";
 
 // const pyodide = await pyodideModule.loadPyodide();
 // const pythonTool = new PythonInterpreterTool({instance: pyodide})
diff --git a/langchain-core/README.md b/langchain-core/README.md
index 51544b6cd7c4..8c537e2a7a9c 100644
--- a/langchain-core/README.md
+++ b/langchain-core/README.md
@@ -83,13 +83,13 @@ Streaming (and streaming of intermediate steps) is needed to show the user that
 Async interfaces are nice when moving into production.
 Rather than having to write multiple implementations for all of those, LCEL allows you to write a runnable once and invoke it in many different ways.
 
-For more check out the [LCEL docs](https://js.langchain.com/v0.2/docs/concepts#langchain-expression-language).
+For more check out the [LCEL docs](https://js.langchain.com/docs/concepts#langchain-expression-language).
 
 ![LangChain Stack](../docs/core_docs/static/svg/langchain_stack_062024.svg)
 
 ## 📕 Releases & Versioning
 
-`@langchain/core` is currently on version `0.1.x`.
+`@langchain/core` is currently on version `0.3.x`.
 
 As `@langchain/core` contains the base abstractions and runtime for the whole LangChain ecosystem, we will communicate any breaking changes with advance notice and version bumps. The exception for this is anything in `@langchain/core/beta`. The reason for `@langchain/core/beta` is that given the rate of change of the field, being able to move quickly is still a priority, and this module is our attempt to do so.
 
@@ -109,7 +109,7 @@ Patch version increases will occur for:
 Other LangChain packages should add this package as a dependency and extend the classes within.
 For an example, see the [@langchain/anthropic](https://github.com/langchain-ai/langchainjs/tree/main/libs/langchain-anthropic) in this repo.
 
-Because all used packages must share the same version of core, we suggest using a tilde dependency to allow for different (backwards-compatible) patch versions:
+Because all used packages must share the same version of core, packages should never directly depend on `@langchain/core`. Instead they should have core as a peer dependency and a dev dependency. We suggest using a tilde dependency to allow for different (backwards-compatible) patch versions:
 
 ```json
 {
@@ -120,8 +120,13 @@ Because all used packages must share the same version of core, we suggest using
   "author": "LangChain",
   "license": "MIT",
   "dependencies": {
-    "@anthropic-ai/sdk": "^0.10.0",
-    "@langchain/core": "~0.1.5"
+    "@anthropic-ai/sdk": "^0.10.0"
+  },
+  "peerDependencies": {
+    "@langchain/core": "~0.3.0"
+  },
+  "devDependencies": {
+    "@langchain/core": "~0.3.0"
   }
 }
 ```
diff --git a/langchain-core/package.json b/langchain-core/package.json
index e035b5197e98..c8dd65d5d21b 100644
--- a/langchain-core/package.json
+++ b/langchain-core/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/core",
-  "version": "0.2.32",
+  "version": "0.3.0-rc.0",
   "description": "Core LangChain.js abstractions and schemas",
   "type": "module",
   "engines": {
diff --git a/langchain-core/src/callbacks/base.ts b/langchain-core/src/callbacks/base.ts
index 4697b46c3397..8227c92dc661 100644
--- a/langchain-core/src/callbacks/base.ts
+++ b/langchain-core/src/callbacks/base.ts
@@ -350,7 +350,7 @@ export abstract class BaseCallbackHandler
   raiseError = false;
 
   awaitHandlers =
-    getEnvironmentVariable("LANGCHAIN_CALLBACKS_BACKGROUND") !== "true";
+    getEnvironmentVariable("LANGCHAIN_CALLBACKS_BACKGROUND") === "false";
 
   constructor(input?: BaseCallbackHandlerInput) {
     super();
diff --git a/langchain-core/src/callbacks/dispatch/web.ts b/langchain-core/src/callbacks/dispatch/web.ts
index 0b38afbf39f6..35a4694e88e6 100644
--- a/langchain-core/src/callbacks/dispatch/web.ts
+++ b/langchain-core/src/callbacks/dispatch/web.ts
@@ -55,7 +55,7 @@ export async function dispatchCustomEvent(
         "and explicitly pass in a config parameter.",
         `\n\nOr, if you are calling this from a custom tool, ensure you're using the "tool" helper constructor as documented here:`,
         "\n  |",
-        "\n  └-> https://js.langchain.com/v0.2/docs/how_to/custom_tools#tool-function",
+        "\n  └-> https://js.langchain.com/docs/how_to/custom_tools#tool-function",
         "\n",
       ].join(" ")
     );
diff --git a/langchain-core/src/callbacks/manager.ts b/langchain-core/src/callbacks/manager.ts
index 222e543cb09f..3437bfd7307a 100644
--- a/langchain-core/src/callbacks/manager.ts
+++ b/langchain-core/src/callbacks/manager.ts
@@ -22,20 +22,6 @@ import type { DocumentInterface } from "../documents/document.js";
 import { isTracingEnabled } from "../utils/callbacks.js";
 import { isBaseTracer } from "../tracers/base.js";
 
-if (
-  /* #__PURE__ */ isTracingEnabled() &&
-  /* #__PURE__ */ getEnvironmentVariable("LANGCHAIN_CALLBACKS_BACKGROUND") !==
-    "true"
-) {
-  /* #__PURE__ */ console.warn(
-    [
-      "[WARN]: You have enabled LangSmith tracing without backgrounding callbacks.",
-      "[WARN]: If you are not using a serverless environment where you must wait for tracing calls to finish,",
-      `[WARN]: we suggest setting "process.env.LANGCHAIN_CALLBACKS_BACKGROUND=true" to avoid additional latency.`,
-    ].join("\n")
-  );
-}
-
 type BaseCallbackManagerMethods = {
   [K in keyof CallbackHandlerMethods]?: (
     ...args: Parameters<Required<CallbackHandlerMethods>[K]>
@@ -1163,7 +1149,7 @@ export class CallbackManager
     return manager;
   }
 
-  static async configure(
+  static configure(
     inheritableHandlers?: Callbacks,
     localHandlers?: Callbacks,
     inheritableTags?: string[],
@@ -1171,7 +1157,7 @@ export class CallbackManager
     inheritableMetadata?: Record<string, unknown>,
     localMetadata?: Record<string, unknown>,
     options?: CallbackManagerOptions
-  ): Promise<CallbackManager | undefined> {
+  ): CallbackManager | undefined {
     return this._configureSync(
       inheritableHandlers,
       localHandlers,
diff --git a/langchain-core/src/language_models/base.ts b/langchain-core/src/language_models/base.ts
index c72fd150dc86..80e1fa434969 100644
--- a/langchain-core/src/language_models/base.ts
+++ b/langchain-core/src/language_models/base.ts
@@ -233,15 +233,6 @@ export interface FunctionDefinition {
    * how to call the function.
    */
   description?: string;
-
-  /**
-   * Whether to enable strict schema adherence when generating the function call. If
-   * set to true, the model will follow the exact schema defined in the `parameters`
-   * field. Only a subset of JSON Schema is supported when `strict` is `true`. Learn
-   * more about Structured Outputs in the
-   * [function calling guide](https://platform.openai.com/docs/guides/function-calling).
-   */
-  strict?: boolean;
 }
 
 export interface ToolDefinition {
diff --git a/langchain-core/src/language_models/chat_models.ts b/langchain-core/src/language_models/chat_models.ts
index a80776ff0ba3..c7a5f84ed9fb 100644
--- a/langchain-core/src/language_models/chat_models.ts
+++ b/langchain-core/src/language_models/chat_models.ts
@@ -20,8 +20,8 @@ import {
 } from "../outputs.js";
 import {
   BaseLanguageModel,
-  StructuredOutputMethodOptions,
-  ToolDefinition,
+  type StructuredOutputMethodOptions,
+  type ToolDefinition,
   type BaseLanguageModelCallOptions,
   type BaseLanguageModelInput,
   type BaseLanguageModelParams,
diff --git a/langchain-core/src/messages/base.ts b/langchain-core/src/messages/base.ts
index 7f46ce761221..0e327e334d57 100644
--- a/langchain-core/src/messages/base.ts
+++ b/langchain-core/src/messages/base.ts
@@ -76,33 +76,18 @@ export interface FunctionCall {
   name: string;
 }
 
-/**
- * @deprecated
- * Import as "OpenAIToolCall" instead
- */
-export interface ToolCall {
-  /**
-   * The ID of the tool call.
-   */
-  id: string;
-
-  /**
-   * The function that the model called.
-   */
-  function: FunctionCall;
-
-  /**
-   * The type of the tool. Currently, only `function` is supported.
-   */
-  type: "function";
-}
-
 export type BaseMessageFields = {
   content: MessageContent;
   name?: string;
   additional_kwargs?: {
+    /**
+     * @deprecated Use "tool_calls" field on AIMessages instead
+     */
     function_call?: FunctionCall;
-    tool_calls?: ToolCall[];
+    /**
+     * @deprecated Use "tool_calls" field on AIMessages instead
+     */
+    tool_calls?: OpenAIToolCall[];
     [key: string]: unknown;
   };
   /** Response metadata. For example: response headers, logprobs, token counts. */
@@ -318,9 +303,26 @@ export abstract class BaseMessage
   }
 }
 
-// TODO: Deprecate when SDK typing is updated
-export type OpenAIToolCall = ToolCall & {
-  index: number;
+/**
+ * @deprecated Use "tool_calls" field on AIMessages instead
+ */
+export type OpenAIToolCall = {
+  /**
+   * The ID of the tool call.
+   */
+  id: string;
+
+  /**
+   * The function that the model called.
+   */
+  function: FunctionCall;
+
+  /**
+   * The type of the tool. Currently, only `function` is supported.
+   */
+  type: "function";
+
+  index?: number;
 };
 
 export function isOpenAIToolCallArray(
@@ -464,10 +466,6 @@ export function _isMessageFieldWithRole(
 
 export type BaseMessageLike =
   | BaseMessage
-  | ({
-      type: MessageType | "user" | "assistant" | "placeholder";
-    } & BaseMessageFields &
-      Record<string, unknown>)
   | MessageFieldWithRole
   | [
       StringWithAutocomplete<
@@ -475,7 +473,14 @@ export type BaseMessageLike =
       >,
       MessageContent
     ]
-  | string;
+  | string
+  /**
+   * @deprecated Specifying "type" is deprecated and will be removed in 0.4.0.
+   */
+  | ({
+      type: MessageType | "user" | "assistant" | "placeholder";
+    } & BaseMessageFields &
+      Record<string, unknown>);
 
 export function isBaseMessage(
   messageLike?: unknown
diff --git a/langchain-core/src/output_parsers/openai_tools/json_output_tools_parsers.ts b/langchain-core/src/output_parsers/openai_tools/json_output_tools_parsers.ts
index fe7987617d60..c1b592a93de2 100644
--- a/langchain-core/src/output_parsers/openai_tools/json_output_tools_parsers.ts
+++ b/langchain-core/src/output_parsers/openai_tools/json_output_tools_parsers.ts
@@ -16,13 +16,6 @@ export type ParsedToolCall = {
 
   // eslint-disable-next-line @typescript-eslint/no-explicit-any
   args: Record<string, any>;
-
-  /** @deprecated Use `type` instead. Will be removed in 0.2.0. */
-  name: string;
-
-  /** @deprecated Use `args` instead. Will be removed in 0.2.0. */
-  // eslint-disable-next-line @typescript-eslint/no-explicit-any
-  arguments: Record<string, any>;
 };
 
 export type JsonOutputToolsParserParams = {
@@ -191,25 +184,11 @@ export class JsonOutputToolsParser<
     const parsedToolCalls = [];
     for (const toolCall of toolCalls) {
       if (toolCall !== undefined) {
-        // backward-compatibility with previous
-        // versions of Langchain JS, which uses `name` and `arguments`
-        // @ts-expect-error name and arguemnts are defined by Object.defineProperty
         const backwardsCompatibleToolCall: ParsedToolCall = {
           type: toolCall.name,
           args: toolCall.args,
           id: toolCall.id,
         };
-        Object.defineProperty(backwardsCompatibleToolCall, "name", {
-          get() {
-            return this.type;
-          },
-        });
-
-        Object.defineProperty(backwardsCompatibleToolCall, "arguments", {
-          get() {
-            return this.args;
-          },
-        });
         parsedToolCalls.push(backwardsCompatibleToolCall);
       }
     }
diff --git a/langchain-core/src/runnables/base.ts b/langchain-core/src/runnables/base.ts
index d79a19a17718..9caa530d699c 100644
--- a/langchain-core/src/runnables/base.ts
+++ b/langchain-core/src/runnables/base.ts
@@ -58,21 +58,14 @@ import { ToolCall } from "../messages/tool.js";
 
 export { type RunnableInterface, RunnableBatchOptions };
 
-// TODO: Make `options` just take `RunnableConfig`
 export type RunnableFunc<RunInput, RunOutput> = (
   input: RunInput,
-  options?:
-    | ({
-        /** @deprecated Use top-level config fields instead. */
-        config?: RunnableConfig;
-      } & RunnableConfig)
+  options:
+    | RunnableConfig
     // eslint-disable-next-line @typescript-eslint/no-explicit-any
     | Record<string, any>
     // eslint-disable-next-line @typescript-eslint/no-explicit-any
-    | (Record<string, any> & {
-        /** @deprecated Use top-level config fields instead. */
-        config: RunnableConfig;
-      } & RunnableConfig)
+    | (Record<string, any> & RunnableConfig)
 ) => RunOutput | Promise<RunOutput>;
 
 export type RunnableMapLike<RunInput, RunOutput> = {
@@ -761,39 +754,39 @@ export abstract class Runnable<
    * **ATTENTION** This reference table is for the V2 version of the schema.
    *
    * ```md
-   * +----------------------+------------------+---------------------------------+-----------------------------------------------+-------------------------------------------------+
-   * | event                | name             | chunk                           | input                                         | output                                          |
-   * +======================+==================+=================================+===============================================+=================================================+
-   * | on_chat_model_start  | [model name]     |                                 | {"messages": [[SystemMessage, HumanMessage]]} |                                                 |
-   * +----------------------+------------------+---------------------------------+-----------------------------------------------+-------------------------------------------------+
-   * | on_chat_model_stream | [model name]     | AIMessageChunk(content="hello") |                                               |                                                 |
-   * +----------------------+------------------+---------------------------------+-----------------------------------------------+-------------------------------------------------+
-   * | on_chat_model_end    | [model name]     |                                 | {"messages": [[SystemMessage, HumanMessage]]} | AIMessageChunk(content="hello world")           |
-   * +----------------------+------------------+---------------------------------+-----------------------------------------------+-------------------------------------------------+
-   * | on_llm_start         | [model name]     |                                 | {'input': 'hello'}                            |                                                 |
-   * +----------------------+------------------+---------------------------------+-----------------------------------------------+-------------------------------------------------+
-   * | on_llm_stream        | [model name]     | 'Hello'                         |                                               |                                                 |
-   * +----------------------+------------------+---------------------------------+-----------------------------------------------+-------------------------------------------------+
-   * | on_llm_end           | [model name]     |                                 | 'Hello human!'                                |                                                 |
-   * +----------------------+------------------+---------------------------------+-----------------------------------------------+-------------------------------------------------+
-   * | on_chain_start       | some_runnable    |                                 |                                               |                                                 |
-   * +----------------------+------------------+---------------------------------+-----------------------------------------------+-------------------------------------------------+
-   * | on_chain_stream      | some_runnable    | "hello world!, goodbye world!"  |                                               |                                                 |
-   * +----------------------+------------------+---------------------------------+-----------------------------------------------+-------------------------------------------------+
-   * | on_chain_end         | some_runnable    |                                 | [Document(...)]                               | "hello world!, goodbye world!"                  |
-   * +----------------------+------------------+---------------------------------+-----------------------------------------------+-------------------------------------------------+
-   * | on_tool_start        | some_tool        |                                 | {"x": 1, "y": "2"}                            |                                                 |
-   * +----------------------+------------------+---------------------------------+-----------------------------------------------+-------------------------------------------------+
-   * | on_tool_end          | some_tool        |                                 |                                               | {"x": 1, "y": "2"}                              |
-   * +----------------------+------------------+---------------------------------+-----------------------------------------------+-------------------------------------------------+
-   * | on_retriever_start   | [retriever name] |                                 | {"query": "hello"}                            |                                                 |
-   * +----------------------+------------------+---------------------------------+-----------------------------------------------+-------------------------------------------------+
-   * | on_retriever_end     | [retriever name] |                                 | {"query": "hello"}                            | [Document(...), ..]                             |
-   * +----------------------+------------------+---------------------------------+-----------------------------------------------+-------------------------------------------------+
-   * | on_prompt_start      | [template_name]  |                                 | {"question": "hello"}                         |                                                 |
-   * +----------------------+------------------+---------------------------------+-----------------------------------------------+-------------------------------------------------+
-   * | on_prompt_end        | [template_name]  |                                 | {"question": "hello"}                         | ChatPromptValue(messages: [SystemMessage, ...]) |
-   * +----------------------+------------------+---------------------------------+-----------------------------------------------+-------------------------------------------------+
+   * +----------------------+-----------------------------+------------------------------------------+
+   * | event                | input                       | output/chunk                             |
+   * +======================+=============================+==========================================+
+   * | on_chat_model_start  | {"messages": BaseMessage[]} |                                          |
+   * +----------------------+-----------------------------+------------------------------------------+
+   * | on_chat_model_stream |                             | AIMessageChunk("hello")                  |
+   * +----------------------+-----------------------------+------------------------------------------+
+   * | on_chat_model_end    | {"messages": BaseMessage[]} | AIMessageChunk("hello world")            |
+   * +----------------------+-----------------------------+------------------------------------------+
+   * | on_llm_start         | {'input': 'hello'}          |                                          |
+   * +----------------------+-----------------------------+------------------------------------------+
+   * | on_llm_stream        |                             | 'Hello'                                  |
+   * +----------------------+-----------------------------+------------------------------------------+
+   * | on_llm_end           | 'Hello human!'              |                                          |
+   * +----------------------+-----------------------------+------------------------------------------+
+   * | on_chain_start       |                             |                                          |
+   * +----------------------+-----------------------------+------------------------------------------+
+   * | on_chain_stream      |                             | "hello world!"                           |
+   * +----------------------+-----------------------------+------------------------------------------+
+   * | on_chain_end         | [Document(...)]             | "hello world!, goodbye world!"           |
+   * +----------------------+-----------------------------+------------------------------------------+
+   * | on_tool_start        | {"x": 1, "y": "2"}          |                                          |
+   * +----------------------+-----------------------------+------------------------------------------+
+   * | on_tool_end          |                             | {"x": 1, "y": "2"}                       |
+   * +----------------------+-----------------------------+------------------------------------------+
+   * | on_retriever_start   | {"query": "hello"}          |                                          |
+   * +----------------------+-----------------------------+------------------------------------------+
+   * | on_retriever_end     | {"query": "hello"}          | [Document(...), ..]                      |
+   * +----------------------+-----------------------------+------------------------------------------+
+   * | on_prompt_start      | {"question": "hello"}       |                                          |
+   * +----------------------+-----------------------------+------------------------------------------+
+   * | on_prompt_end        | {"question": "hello"}       | ChatPromptValue(messages: BaseMessage[]) |
+   * +----------------------+-----------------------------+------------------------------------------+
    * ```
    *
    * The "on_chain_*" events are the default for Runnables that don't fit one of the above categories.
@@ -805,13 +798,13 @@ export abstract class Runnable<
    * A custom event has following format:
    *
    * ```md
-   * +-----------+------+-----------------------------------------------------------------------------------------------------------+
-   * | Attribute | Type | Description                                                                                               |
-   * +===========+======+===========================================================================================================+
-   * | name      | str  | A user defined name for the event.                                                                        |
-   * +-----------+------+-----------------------------------------------------------------------------------------------------------+
-   * | data      | Any  | The data associated with the event. This can be anything, though we suggest making it JSON serializable.  |
-   * +-----------+------+-----------------------------------------------------------------------------------------------------------+
+   * +-----------+------+------------------------------------------------------------+
+   * | Attribute | Type | Description                                                |
+   * +===========+======+============================================================+
+   * | name      | str  | A user defined name for the event.                         |
+   * +-----------+------+------------------------------------------------------------+
+   * | data      | Any  | The data associated with the event. This can be anything.  |
+   * +-----------+------+------------------------------------------------------------+
    * ```
    *
    * Here's an example:
@@ -1329,7 +1322,7 @@ export class RunnableBinding<
 
   async *transform(
     generator: AsyncGenerator<RunInput>,
-    options: Partial<CallOptions>
+    options?: Partial<CallOptions>
   ): AsyncGenerator<RunOutput> {
     yield* this.bound.transform(
       generator,
@@ -1473,7 +1466,7 @@ export class RunnableEach<
     inputs: RunInputItem[],
     config?: Partial<CallOptions>
   ): Promise<RunOutputItem[]> {
-    return this._callWithConfig(this._invoke, inputs, config);
+    return this._callWithConfig(this._invoke.bind(this), inputs, config);
   }
 
   /**
@@ -1594,7 +1587,7 @@ export class RunnableRetry<
    * @returns A promise that resolves to the output of the runnable.
    */
   async invoke(input: RunInput, config?: CallOptions): Promise<RunOutput> {
-    return this._callWithConfig(this._invoke, input, config);
+    return this._callWithConfig(this._invoke.bind(this), input, config);
   }
 
   async _batch<ReturnExceptions extends boolean = false>(
@@ -2400,7 +2393,7 @@ export class RunnableLambda<RunInput, RunOutput> extends Runnable<
     input: RunInput,
     options?: Partial<RunnableConfig>
   ): Promise<RunOutput> {
-    return this._callWithConfig(this._invoke, input, options);
+    return this._callWithConfig(this._invoke.bind(this), input, options);
   }
 
   async *_transform(
diff --git a/langchain-core/src/tracers/root_listener.ts b/langchain-core/src/tracers/root_listener.ts
index 56959b758f33..68a8a050a586 100644
--- a/langchain-core/src/tracers/root_listener.ts
+++ b/langchain-core/src/tracers/root_listener.ts
@@ -9,20 +9,11 @@ export class RootListenersTracer extends BaseTracer {
 
   config: RunnableConfig;
 
-  argOnStart?: {
-    (run: Run): void | Promise<void>;
-    (run: Run, config: RunnableConfig): void | Promise<void>;
-  };
+  argOnStart?: (run: Run, config: RunnableConfig) => void | Promise<void>;
 
-  argOnEnd?: {
-    (run: Run): void | Promise<void>;
-    (run: Run, config: RunnableConfig): void | Promise<void>;
-  };
+  argOnEnd?: (run: Run, config: RunnableConfig) => void | Promise<void>;
 
-  argOnError?: {
-    (run: Run): void | Promise<void>;
-    (run: Run, config: RunnableConfig): void | Promise<void>;
-  };
+  argOnError?: (run: Run, config: RunnableConfig) => void | Promise<void>;
 
   constructor({
     config,
@@ -31,9 +22,9 @@ export class RootListenersTracer extends BaseTracer {
     onError,
   }: {
     config: RunnableConfig;
-    onStart?: (run: Run, config?: RunnableConfig) => void | Promise<void>;
-    onEnd?: (run: Run, config?: RunnableConfig) => void | Promise<void>;
-    onError?: (run: Run, config?: RunnableConfig) => void | Promise<void>;
+    onStart?: (run: Run, config: RunnableConfig) => void | Promise<void>;
+    onEnd?: (run: Run, config: RunnableConfig) => void | Promise<void>;
+    onError?: (run: Run, config: RunnableConfig) => void | Promise<void>;
   }) {
     super({ _awaitHandler: true });
     this.config = config;
@@ -59,11 +50,7 @@ export class RootListenersTracer extends BaseTracer {
     this.rootId = run.id;
 
     if (this.argOnStart) {
-      if (this.argOnStart.length === 1) {
-        await this.argOnStart(run);
-      } else if (this.argOnStart.length === 2) {
-        await this.argOnStart(run, this.config);
-      }
+      await this.argOnStart(run, this.config);
     }
   }
 
@@ -73,18 +60,10 @@ export class RootListenersTracer extends BaseTracer {
     }
     if (!run.error) {
       if (this.argOnEnd) {
-        if (this.argOnEnd.length === 1) {
-          await this.argOnEnd(run);
-        } else if (this.argOnEnd.length === 2) {
-          await this.argOnEnd(run, this.config);
-        }
+        await this.argOnEnd(run, this.config);
       }
     } else if (this.argOnError) {
-      if (this.argOnError.length === 1) {
-        await this.argOnError(run);
-      } else if (this.argOnError.length === 2) {
-        await this.argOnError(run, this.config);
-      }
+      await this.argOnError(run, this.config);
     }
   }
 }
diff --git a/langchain-core/src/utils/function_calling.ts b/langchain-core/src/utils/function_calling.ts
index 243d593c55e0..78bb1d0c14e3 100644
--- a/langchain-core/src/utils/function_calling.ts
+++ b/langchain-core/src/utils/function_calling.ts
@@ -77,7 +77,8 @@ export function convertToOpenAITool(
   }
 
   if (fieldsCopy?.strict !== undefined) {
-    toolDef.function.strict = fieldsCopy.strict;
+    // eslint-disable-next-line @typescript-eslint/no-explicit-any
+    (toolDef.function as any).strict = fieldsCopy.strict;
   }
 
   return toolDef;
diff --git a/langchain/.gitignore b/langchain/.gitignore
index 63dd08cc6295..7bd9d4deb0d7 100644
--- a/langchain/.gitignore
+++ b/langchain/.gitignore
@@ -146,10 +146,6 @@ memory.cjs
 memory.js
 memory.d.ts
 memory.d.cts
-memory/index.cjs
-memory/index.js
-memory/index.d.ts
-memory/index.d.cts
 memory/chat_memory.cjs
 memory/chat_memory.js
 memory/chat_memory.d.ts
@@ -162,182 +158,26 @@ document_loaders/base.cjs
 document_loaders/base.js
 document_loaders/base.d.ts
 document_loaders/base.d.cts
-document_loaders/web/apify_dataset.cjs
-document_loaders/web/apify_dataset.js
-document_loaders/web/apify_dataset.d.ts
-document_loaders/web/apify_dataset.d.cts
-document_loaders/web/assemblyai.cjs
-document_loaders/web/assemblyai.js
-document_loaders/web/assemblyai.d.ts
-document_loaders/web/assemblyai.d.cts
-document_loaders/web/azure_blob_storage_container.cjs
-document_loaders/web/azure_blob_storage_container.js
-document_loaders/web/azure_blob_storage_container.d.ts
-document_loaders/web/azure_blob_storage_container.d.cts
-document_loaders/web/azure_blob_storage_file.cjs
-document_loaders/web/azure_blob_storage_file.js
-document_loaders/web/azure_blob_storage_file.d.ts
-document_loaders/web/azure_blob_storage_file.d.cts
-document_loaders/web/browserbase.cjs
-document_loaders/web/browserbase.js
-document_loaders/web/browserbase.d.ts
-document_loaders/web/browserbase.d.cts
-document_loaders/web/cheerio.cjs
-document_loaders/web/cheerio.js
-document_loaders/web/cheerio.d.ts
-document_loaders/web/cheerio.d.cts
-document_loaders/web/puppeteer.cjs
-document_loaders/web/puppeteer.js
-document_loaders/web/puppeteer.d.ts
-document_loaders/web/puppeteer.d.cts
-document_loaders/web/playwright.cjs
-document_loaders/web/playwright.js
-document_loaders/web/playwright.d.ts
-document_loaders/web/playwright.d.cts
-document_loaders/web/college_confidential.cjs
-document_loaders/web/college_confidential.js
-document_loaders/web/college_confidential.d.ts
-document_loaders/web/college_confidential.d.cts
-document_loaders/web/gitbook.cjs
-document_loaders/web/gitbook.js
-document_loaders/web/gitbook.d.ts
-document_loaders/web/gitbook.d.cts
-document_loaders/web/hn.cjs
-document_loaders/web/hn.js
-document_loaders/web/hn.d.ts
-document_loaders/web/hn.d.cts
-document_loaders/web/imsdb.cjs
-document_loaders/web/imsdb.js
-document_loaders/web/imsdb.d.ts
-document_loaders/web/imsdb.d.cts
-document_loaders/web/figma.cjs
-document_loaders/web/figma.js
-document_loaders/web/figma.d.ts
-document_loaders/web/figma.d.cts
-document_loaders/web/firecrawl.cjs
-document_loaders/web/firecrawl.js
-document_loaders/web/firecrawl.d.ts
-document_loaders/web/firecrawl.d.cts
-document_loaders/web/github.cjs
-document_loaders/web/github.js
-document_loaders/web/github.d.ts
-document_loaders/web/github.d.cts
-document_loaders/web/notiondb.cjs
-document_loaders/web/notiondb.js
-document_loaders/web/notiondb.d.ts
-document_loaders/web/notiondb.d.cts
-document_loaders/web/notionapi.cjs
-document_loaders/web/notionapi.js
-document_loaders/web/notionapi.d.ts
-document_loaders/web/notionapi.d.cts
-document_loaders/web/pdf.cjs
-document_loaders/web/pdf.js
-document_loaders/web/pdf.d.ts
-document_loaders/web/pdf.d.cts
-document_loaders/web/recursive_url.cjs
-document_loaders/web/recursive_url.js
-document_loaders/web/recursive_url.d.ts
-document_loaders/web/recursive_url.d.cts
-document_loaders/web/s3.cjs
-document_loaders/web/s3.js
-document_loaders/web/s3.d.ts
-document_loaders/web/s3.d.cts
-document_loaders/web/sitemap.cjs
-document_loaders/web/sitemap.js
-document_loaders/web/sitemap.d.ts
-document_loaders/web/sitemap.d.cts
-document_loaders/web/sonix_audio.cjs
-document_loaders/web/sonix_audio.js
-document_loaders/web/sonix_audio.d.ts
-document_loaders/web/sonix_audio.d.cts
-document_loaders/web/confluence.cjs
-document_loaders/web/confluence.js
-document_loaders/web/confluence.d.ts
-document_loaders/web/confluence.d.cts
-document_loaders/web/couchbase.cjs
-document_loaders/web/couchbase.js
-document_loaders/web/couchbase.d.ts
-document_loaders/web/couchbase.d.cts
-document_loaders/web/searchapi.cjs
-document_loaders/web/searchapi.js
-document_loaders/web/searchapi.d.ts
-document_loaders/web/searchapi.d.cts
-document_loaders/web/serpapi.cjs
-document_loaders/web/serpapi.js
-document_loaders/web/serpapi.d.ts
-document_loaders/web/serpapi.d.cts
-document_loaders/web/sort_xyz_blockchain.cjs
-document_loaders/web/sort_xyz_blockchain.js
-document_loaders/web/sort_xyz_blockchain.d.ts
-document_loaders/web/sort_xyz_blockchain.d.cts
-document_loaders/web/youtube.cjs
-document_loaders/web/youtube.js
-document_loaders/web/youtube.d.ts
-document_loaders/web/youtube.d.cts
+document_loaders/fs/buffer.cjs
+document_loaders/fs/buffer.js
+document_loaders/fs/buffer.d.ts
+document_loaders/fs/buffer.d.cts
 document_loaders/fs/directory.cjs
 document_loaders/fs/directory.js
 document_loaders/fs/directory.d.ts
 document_loaders/fs/directory.d.cts
+document_loaders/fs/json.cjs
+document_loaders/fs/json.js
+document_loaders/fs/json.d.ts
+document_loaders/fs/json.d.cts
 document_loaders/fs/multi_file.cjs
 document_loaders/fs/multi_file.js
 document_loaders/fs/multi_file.d.ts
 document_loaders/fs/multi_file.d.cts
-document_loaders/fs/buffer.cjs
-document_loaders/fs/buffer.js
-document_loaders/fs/buffer.d.ts
-document_loaders/fs/buffer.d.cts
-document_loaders/fs/chatgpt.cjs
-document_loaders/fs/chatgpt.js
-document_loaders/fs/chatgpt.d.ts
-document_loaders/fs/chatgpt.d.cts
 document_loaders/fs/text.cjs
 document_loaders/fs/text.js
 document_loaders/fs/text.d.ts
 document_loaders/fs/text.d.cts
-document_loaders/fs/json.cjs
-document_loaders/fs/json.js
-document_loaders/fs/json.d.ts
-document_loaders/fs/json.d.cts
-document_loaders/fs/srt.cjs
-document_loaders/fs/srt.js
-document_loaders/fs/srt.d.ts
-document_loaders/fs/srt.d.cts
-document_loaders/fs/pdf.cjs
-document_loaders/fs/pdf.js
-document_loaders/fs/pdf.d.ts
-document_loaders/fs/pdf.d.cts
-document_loaders/fs/docx.cjs
-document_loaders/fs/docx.js
-document_loaders/fs/docx.d.ts
-document_loaders/fs/docx.d.cts
-document_loaders/fs/epub.cjs
-document_loaders/fs/epub.js
-document_loaders/fs/epub.d.ts
-document_loaders/fs/epub.d.cts
-document_loaders/fs/csv.cjs
-document_loaders/fs/csv.js
-document_loaders/fs/csv.d.ts
-document_loaders/fs/csv.d.cts
-document_loaders/fs/notion.cjs
-document_loaders/fs/notion.js
-document_loaders/fs/notion.d.ts
-document_loaders/fs/notion.d.cts
-document_loaders/fs/obsidian.cjs
-document_loaders/fs/obsidian.js
-document_loaders/fs/obsidian.d.ts
-document_loaders/fs/obsidian.d.cts
-document_loaders/fs/unstructured.cjs
-document_loaders/fs/unstructured.js
-document_loaders/fs/unstructured.d.ts
-document_loaders/fs/unstructured.d.cts
-document_loaders/fs/openai_whisper_audio.cjs
-document_loaders/fs/openai_whisper_audio.js
-document_loaders/fs/openai_whisper_audio.d.ts
-document_loaders/fs/openai_whisper_audio.d.cts
-document_loaders/fs/pptx.cjs
-document_loaders/fs/pptx.js
-document_loaders/fs/pptx.d.ts
-document_loaders/fs/pptx.d.cts
 document_transformers/openai_functions.cjs
 document_transformers/openai_functions.js
 document_transformers/openai_functions.d.ts
@@ -406,30 +246,10 @@ retrievers/self_query.cjs
 retrievers/self_query.js
 retrievers/self_query.d.ts
 retrievers/self_query.d.cts
-retrievers/self_query/chroma.cjs
-retrievers/self_query/chroma.js
-retrievers/self_query/chroma.d.ts
-retrievers/self_query/chroma.d.cts
 retrievers/self_query/functional.cjs
 retrievers/self_query/functional.js
 retrievers/self_query/functional.d.ts
 retrievers/self_query/functional.d.cts
-retrievers/self_query/pinecone.cjs
-retrievers/self_query/pinecone.js
-retrievers/self_query/pinecone.d.ts
-retrievers/self_query/pinecone.d.cts
-retrievers/self_query/supabase.cjs
-retrievers/self_query/supabase.js
-retrievers/self_query/supabase.d.ts
-retrievers/self_query/supabase.d.cts
-retrievers/self_query/weaviate.cjs
-retrievers/self_query/weaviate.js
-retrievers/self_query/weaviate.d.ts
-retrievers/self_query/weaviate.d.cts
-retrievers/self_query/vectara.cjs
-retrievers/self_query/vectara.js
-retrievers/self_query/vectara.d.ts
-retrievers/self_query/vectara.d.cts
 retrievers/matryoshka_retriever.cjs
 retrievers/matryoshka_retriever.js
 retrievers/matryoshka_retriever.d.ts
@@ -526,10 +346,6 @@ experimental/prompts/handlebars.cjs
 experimental/prompts/handlebars.js
 experimental/prompts/handlebars.d.ts
 experimental/prompts/handlebars.d.cts
-experimental/tools/pyinterpreter.cjs
-experimental/tools/pyinterpreter.js
-experimental/tools/pyinterpreter.d.ts
-experimental/tools/pyinterpreter.d.cts
 evaluation.cjs
 evaluation.js
 evaluation.d.ts
diff --git a/langchain/README.md b/langchain/README.md
index 9a17fef93bac..d1e6717a268f 100644
--- a/langchain/README.md
+++ b/langchain/README.md
@@ -34,10 +34,10 @@ LangChain is written in TypeScript and can be used in:
 - **Reason**: rely on a language model to reason (about how to answer based on provided context, what actions to take, etc.)
 
 This framework consists of several parts.
-- **Open-source libraries**: Build your applications using LangChain's open-source [building blocks](https://js.langchain.com/v0.2/docs/concepts#langchain-expression-language), [components](https://js.langchain.com/v0.2/docs/concepts), and [third-party integrations](https://js.langchain.com/v0.2/docs/integrations/platforms/).
-Use [LangGraph.js](https://js.langchain.com/v0.2/docs/concepts/#langgraphjs) to build stateful agents with first-class streaming and human-in-the-loop support.
+- **Open-source libraries**: Build your applications using LangChain's open-source [building blocks](https://js.langchain.com/docs/concepts#langchain-expression-language), [components](https://js.langchain.com/docs/concepts), and [third-party integrations](https://js.langchain.com/docs/integrations/platforms/).
+Use [LangGraph.js](https://js.langchain.com/docs/concepts/#langgraphjs) to build stateful agents with first-class streaming and human-in-the-loop support.
 - **Productionization**: Use [LangSmith](https://docs.smith.langchain.com/) to inspect, monitor and evaluate your chains, so that you can continuously optimize and deploy with confidence.
-- **Deployment**: Turn your LangGraph applications into production-ready APIs and Assistants with [LangGraph Cloud](https://langchain-ai.github.io/langgraph/cloud/) (currently Python-only).
+- **Deployment**: Turn your LangGraph applications into production-ready APIs and Assistants with [LangGraph Cloud](https://langchain-ai.github.io/langgraph/cloud/).
 
 The LangChain libraries themselves are made up of several different packages.
 - **[`@langchain/core`](https://github.com/langchain-ai/langchainjs/blob/main/langchain-core)**: Base abstractions and LangChain Expression Language.
@@ -53,13 +53,13 @@ This library aims to assist in the development of those types of applications. C
 
 **❓Question Answering over specific documents**
 
-- [Documentation](https://js.langchain.com/v0.2/docs/tutorials/rag)
+- [Documentation](https://js.langchain.com/docs/tutorials/rag)
 - End-to-end Example: [Doc-Chatbot](https://github.com/dissorial/doc-chatbot)
 
 
 **💬 Chatbots**
 
-- [Documentation](https://js.langchain.com/v0.2/docs/how_to/#chatbots)
+- [Documentation](https://js.langchain.com/docs/how_to/#chatbots)
 - End-to-end Example: [Chat-LangChain](https://github.com/langchain-ai/chat-langchainjs)
 
 ## 🚀 How does LangChain help?
@@ -82,15 +82,15 @@ Data Augmented Generation involves specific types of chains that first interact
 
 **🤖 Agents:**
 
-Agents allow an LLM autonomy over how a task is accomplished. Agents make decisions about which Actions to take, then take that Action, observe the result, and repeat until the task is complete. LangChain provides a [standard interface for agents](https://js.langchain.com/v0.2/docs/concepts/#agents), along with [LangGraph.js](https://github.com/langchain-ai/langgraphjs/) for building custom agents.
+Agents allow an LLM autonomy over how a task is accomplished. Agents make decisions about which Actions to take, then take that Action, observe the result, and repeat until the task is complete. LangChain provides a [standard interface for agents](https://js.langchain.com/docs/concepts/#agents), along with [LangGraph.js](https://github.com/langchain-ai/langgraphjs/) for building custom agents.
 
 ## 📖 Documentation
 
 Please see [here](https://js.langchain.com) for full documentation, which includes:
 
-- [Getting started](https://js.langchain.com/v0.2/docs/introduction): installation, setting up the environment, simple examples
-- Overview of the [interfaces](https://js.langchain.com/v0.2/docs/how_to/lcel_cheatsheet/), [modules](https://js.langchain.com/v0.2/docs/concepts) and [integrations](https://js.langchain.com/v0.2/docs/integrations/platforms/)
-- [Tutorial](https://js.langchain.com/v0.2/docs/tutorials/) walkthroughs
+- [Getting started](https://js.langchain.com/docs/introduction): installation, setting up the environment, simple examples
+- Overview of the [interfaces](https://js.langchain.com/docs/how_to/lcel_cheatsheet/), [modules](https://js.langchain.com/docs/concepts) and [integrations](https://js.langchain.com/docs/integrations/platforms/)
+- [Tutorial](https://js.langchain.com/docs/tutorials/) walkthroughs
 - [Reference](https://api.js.langchain.com): full API docs
 
 ## 💁 Contributing
diff --git a/langchain/langchain.config.js b/langchain/langchain.config.js
index 9b03166fea60..d2a317e76fb7 100644
--- a/langchain/langchain.config.js
+++ b/langchain/langchain.config.js
@@ -15,18 +15,10 @@ export const config = {
     /js-tiktoken/,
     /@langchain\/core/,
     /langsmith/,
-    /@langchain\/anthropic/,
     /@langchain\/community/,
     "axios", // axios is a dependency of openai
-    "@rockset/client/dist/codegen/api.js",
     "mysql2/promise",
-    "pdf-parse/lib/pdf.js/v1.10.100/build/pdf.js",
-    "@zilliz/milvus2-sdk-node/dist/milvus/const/Milvus.js",
-    "@zilliz/milvus2-sdk-node/dist/milvus/types.js",
-    "notion-to-md/build/utils/notion.js",
-    "firebase-admin/app",
-    "firebase-admin/firestore",
-    "web-auth-library/google"
+    "notion-to-md/build/utils/notion.js"
   ],
   entrypoints: {
     load: "load/index",
@@ -76,63 +68,16 @@ export const config = {
     text_splitter: "text_splitter",
     // memory
     "memory": "memory/index",
-    // TODO: Remove on breaking change
-    "memory/index": "memory/index",
     "memory/chat_memory": "memory/chat_memory",
     // document
     document: "document",
     // document_loaders
     "document_loaders/base": "document_loaders/base",
-    "document_loaders/web/apify_dataset": "document_loaders/web/apify_dataset",
-    "document_loaders/web/assemblyai": "document_loaders/web/assemblyai",
-    "document_loaders/web/azure_blob_storage_container":
-      "document_loaders/web/azure_blob_storage_container",
-    "document_loaders/web/azure_blob_storage_file":
-      "document_loaders/web/azure_blob_storage_file",
-    "document_loaders/web/browserbase":
-      "document_loaders/web/browserbase",
-    "document_loaders/web/cheerio": "document_loaders/web/cheerio",
-    "document_loaders/web/puppeteer": "document_loaders/web/puppeteer",
-    "document_loaders/web/playwright": "document_loaders/web/playwright",
-    "document_loaders/web/college_confidential":
-      "document_loaders/web/college_confidential",
-    "document_loaders/web/gitbook": "document_loaders/web/gitbook",
-    "document_loaders/web/hn": "document_loaders/web/hn",
-    "document_loaders/web/imsdb": "document_loaders/web/imsdb",
-    "document_loaders/web/figma": "document_loaders/web/figma",
-    "document_loaders/web/firecrawl": "document_loaders/web/firecrawl",
-    "document_loaders/web/github": "document_loaders/web/github",
-    "document_loaders/web/notiondb": "document_loaders/web/notiondb",
-    "document_loaders/web/notionapi": "document_loaders/web/notionapi",
-    "document_loaders/web/pdf": "document_loaders/web/pdf",
-    "document_loaders/web/recursive_url": "document_loaders/web/recursive_url",
-    "document_loaders/web/s3": "document_loaders/web/s3",
-    "document_loaders/web/sitemap": "document_loaders/web/sitemap",
-    "document_loaders/web/sonix_audio": "document_loaders/web/sonix_audio",
-    "document_loaders/web/confluence": "document_loaders/web/confluence",
-    "document_loaders/web/couchbase": "document_loaders/web/couchbase",
-    "document_loaders/web/searchapi": "document_loaders/web/searchapi",
-    "document_loaders/web/serpapi": "document_loaders/web/serpapi",
-    "document_loaders/web/sort_xyz_blockchain":
-      "document_loaders/web/sort_xyz_blockchain",
-    "document_loaders/web/youtube": "document_loaders/web/youtube",
+    "document_loaders/fs/buffer": "document_loaders/fs/buffer",
     "document_loaders/fs/directory": "document_loaders/fs/directory",
+    "document_loaders/fs/json": "document_loaders/fs/json",
     "document_loaders/fs/multi_file": "document_loaders/fs/multi_file",
-    "document_loaders/fs/buffer": "document_loaders/fs/buffer",
-    "document_loaders/fs/chatgpt": "document_loaders/fs/chatgpt",
     "document_loaders/fs/text": "document_loaders/fs/text",
-    "document_loaders/fs/json": "document_loaders/fs/json",
-    "document_loaders/fs/srt": "document_loaders/fs/srt",
-    "document_loaders/fs/pdf": "document_loaders/fs/pdf",
-    "document_loaders/fs/docx": "document_loaders/fs/docx",
-    "document_loaders/fs/epub": "document_loaders/fs/epub",
-    "document_loaders/fs/csv": "document_loaders/fs/csv",
-    "document_loaders/fs/notion": "document_loaders/fs/notion",
-    "document_loaders/fs/obsidian": "document_loaders/fs/obsidian",
-    "document_loaders/fs/unstructured": "document_loaders/fs/unstructured",
-    "document_loaders/fs/openai_whisper_audio":
-      "document_loaders/fs/openai_whisper_audio",
-    "document_loaders/fs/pptx": "document_loaders/fs/pptx",
     // document_transformers
     "document_transformers/openai_functions":
       "document_transformers/openai_functions",
@@ -158,12 +103,7 @@ export const config = {
     "retrievers/hyde": "retrievers/hyde",
     "retrievers/score_threshold": "retrievers/score_threshold",
     "retrievers/self_query": "retrievers/self_query/index",
-    "retrievers/self_query/chroma": "retrievers/self_query/chroma",
     "retrievers/self_query/functional": "retrievers/self_query/functional",
-    "retrievers/self_query/pinecone": "retrievers/self_query/pinecone",
-    "retrievers/self_query/supabase": "retrievers/self_query/supabase",
-    "retrievers/self_query/weaviate": "retrievers/self_query/weaviate",
-    "retrievers/self_query/vectara": "retrievers/self_query/vectara",
     "retrievers/matryoshka_retriever": "retrievers/matryoshka_retriever",
     // cache
     "cache/file_system": "cache/file_system",
@@ -195,7 +135,6 @@ export const config = {
     "experimental/masking": "experimental/masking/index",
     "experimental/prompts/custom_format": "experimental/prompts/custom_format",
     "experimental/prompts/handlebars": "experimental/prompts/handlebars",
-    "experimental/tools/pyinterpreter": "experimental/tools/pyinterpreter",
     // evaluation
     evaluation: "evaluation/index",
     // smith (LangSmith Evaluation)
@@ -211,14 +150,6 @@ export const config = {
     "document",
     "load/serializable",
     "runnables",
-    "document_loaders/web/searchapi",
-    "retrievers/self_query/chroma",
-    "retrievers/self_query/pinecone",
-    "retrievers/self_query/supabase",
-    "retrievers/self_query/weaviate",
-    "retrievers/self_query/vectara",
-    "document_loaders/web/serpapi",
-    "document_loaders/web/sort_xyz_blockchain"
   ],
   requiresOptionalDependency: [
     "agents/load",
@@ -287,7 +218,6 @@ export const config = {
     // Prevent export due to circular dependency with "load" entrypoint
     "hub",
     "experimental/prompts/handlebars",
-    "experimental/tools/pyinterpreter",
   ],
   extraImportMapEntries: [
     {
diff --git a/langchain/package.json b/langchain/package.json
index e8c752f9face..c0b100f1330d 100644
--- a/langchain/package.json
+++ b/langchain/package.json
@@ -1,6 +1,6 @@
 {
   "name": "langchain",
-  "version": "0.2.19",
+  "version": "0.3.0-rc.0",
   "description": "Typescript bindings for langchain",
   "type": "module",
   "engines": {
@@ -158,10 +158,6 @@
     "memory.js",
     "memory.d.ts",
     "memory.d.cts",
-    "memory/index.cjs",
-    "memory/index.js",
-    "memory/index.d.ts",
-    "memory/index.d.cts",
     "memory/chat_memory.cjs",
     "memory/chat_memory.js",
     "memory/chat_memory.d.ts",
@@ -174,182 +170,26 @@
     "document_loaders/base.js",
     "document_loaders/base.d.ts",
     "document_loaders/base.d.cts",
-    "document_loaders/web/apify_dataset.cjs",
-    "document_loaders/web/apify_dataset.js",
-    "document_loaders/web/apify_dataset.d.ts",
-    "document_loaders/web/apify_dataset.d.cts",
-    "document_loaders/web/assemblyai.cjs",
-    "document_loaders/web/assemblyai.js",
-    "document_loaders/web/assemblyai.d.ts",
-    "document_loaders/web/assemblyai.d.cts",
-    "document_loaders/web/azure_blob_storage_container.cjs",
-    "document_loaders/web/azure_blob_storage_container.js",
-    "document_loaders/web/azure_blob_storage_container.d.ts",
-    "document_loaders/web/azure_blob_storage_container.d.cts",
-    "document_loaders/web/azure_blob_storage_file.cjs",
-    "document_loaders/web/azure_blob_storage_file.js",
-    "document_loaders/web/azure_blob_storage_file.d.ts",
-    "document_loaders/web/azure_blob_storage_file.d.cts",
-    "document_loaders/web/browserbase.cjs",
-    "document_loaders/web/browserbase.js",
-    "document_loaders/web/browserbase.d.ts",
-    "document_loaders/web/browserbase.d.cts",
-    "document_loaders/web/cheerio.cjs",
-    "document_loaders/web/cheerio.js",
-    "document_loaders/web/cheerio.d.ts",
-    "document_loaders/web/cheerio.d.cts",
-    "document_loaders/web/puppeteer.cjs",
-    "document_loaders/web/puppeteer.js",
-    "document_loaders/web/puppeteer.d.ts",
-    "document_loaders/web/puppeteer.d.cts",
-    "document_loaders/web/playwright.cjs",
-    "document_loaders/web/playwright.js",
-    "document_loaders/web/playwright.d.ts",
-    "document_loaders/web/playwright.d.cts",
-    "document_loaders/web/college_confidential.cjs",
-    "document_loaders/web/college_confidential.js",
-    "document_loaders/web/college_confidential.d.ts",
-    "document_loaders/web/college_confidential.d.cts",
-    "document_loaders/web/gitbook.cjs",
-    "document_loaders/web/gitbook.js",
-    "document_loaders/web/gitbook.d.ts",
-    "document_loaders/web/gitbook.d.cts",
-    "document_loaders/web/hn.cjs",
-    "document_loaders/web/hn.js",
-    "document_loaders/web/hn.d.ts",
-    "document_loaders/web/hn.d.cts",
-    "document_loaders/web/imsdb.cjs",
-    "document_loaders/web/imsdb.js",
-    "document_loaders/web/imsdb.d.ts",
-    "document_loaders/web/imsdb.d.cts",
-    "document_loaders/web/figma.cjs",
-    "document_loaders/web/figma.js",
-    "document_loaders/web/figma.d.ts",
-    "document_loaders/web/figma.d.cts",
-    "document_loaders/web/firecrawl.cjs",
-    "document_loaders/web/firecrawl.js",
-    "document_loaders/web/firecrawl.d.ts",
-    "document_loaders/web/firecrawl.d.cts",
-    "document_loaders/web/github.cjs",
-    "document_loaders/web/github.js",
-    "document_loaders/web/github.d.ts",
-    "document_loaders/web/github.d.cts",
-    "document_loaders/web/notiondb.cjs",
-    "document_loaders/web/notiondb.js",
-    "document_loaders/web/notiondb.d.ts",
-    "document_loaders/web/notiondb.d.cts",
-    "document_loaders/web/notionapi.cjs",
-    "document_loaders/web/notionapi.js",
-    "document_loaders/web/notionapi.d.ts",
-    "document_loaders/web/notionapi.d.cts",
-    "document_loaders/web/pdf.cjs",
-    "document_loaders/web/pdf.js",
-    "document_loaders/web/pdf.d.ts",
-    "document_loaders/web/pdf.d.cts",
-    "document_loaders/web/recursive_url.cjs",
-    "document_loaders/web/recursive_url.js",
-    "document_loaders/web/recursive_url.d.ts",
-    "document_loaders/web/recursive_url.d.cts",
-    "document_loaders/web/s3.cjs",
-    "document_loaders/web/s3.js",
-    "document_loaders/web/s3.d.ts",
-    "document_loaders/web/s3.d.cts",
-    "document_loaders/web/sitemap.cjs",
-    "document_loaders/web/sitemap.js",
-    "document_loaders/web/sitemap.d.ts",
-    "document_loaders/web/sitemap.d.cts",
-    "document_loaders/web/sonix_audio.cjs",
-    "document_loaders/web/sonix_audio.js",
-    "document_loaders/web/sonix_audio.d.ts",
-    "document_loaders/web/sonix_audio.d.cts",
-    "document_loaders/web/confluence.cjs",
-    "document_loaders/web/confluence.js",
-    "document_loaders/web/confluence.d.ts",
-    "document_loaders/web/confluence.d.cts",
-    "document_loaders/web/couchbase.cjs",
-    "document_loaders/web/couchbase.js",
-    "document_loaders/web/couchbase.d.ts",
-    "document_loaders/web/couchbase.d.cts",
-    "document_loaders/web/searchapi.cjs",
-    "document_loaders/web/searchapi.js",
-    "document_loaders/web/searchapi.d.ts",
-    "document_loaders/web/searchapi.d.cts",
-    "document_loaders/web/serpapi.cjs",
-    "document_loaders/web/serpapi.js",
-    "document_loaders/web/serpapi.d.ts",
-    "document_loaders/web/serpapi.d.cts",
-    "document_loaders/web/sort_xyz_blockchain.cjs",
-    "document_loaders/web/sort_xyz_blockchain.js",
-    "document_loaders/web/sort_xyz_blockchain.d.ts",
-    "document_loaders/web/sort_xyz_blockchain.d.cts",
-    "document_loaders/web/youtube.cjs",
-    "document_loaders/web/youtube.js",
-    "document_loaders/web/youtube.d.ts",
-    "document_loaders/web/youtube.d.cts",
+    "document_loaders/fs/buffer.cjs",
+    "document_loaders/fs/buffer.js",
+    "document_loaders/fs/buffer.d.ts",
+    "document_loaders/fs/buffer.d.cts",
     "document_loaders/fs/directory.cjs",
     "document_loaders/fs/directory.js",
     "document_loaders/fs/directory.d.ts",
     "document_loaders/fs/directory.d.cts",
+    "document_loaders/fs/json.cjs",
+    "document_loaders/fs/json.js",
+    "document_loaders/fs/json.d.ts",
+    "document_loaders/fs/json.d.cts",
     "document_loaders/fs/multi_file.cjs",
     "document_loaders/fs/multi_file.js",
     "document_loaders/fs/multi_file.d.ts",
     "document_loaders/fs/multi_file.d.cts",
-    "document_loaders/fs/buffer.cjs",
-    "document_loaders/fs/buffer.js",
-    "document_loaders/fs/buffer.d.ts",
-    "document_loaders/fs/buffer.d.cts",
-    "document_loaders/fs/chatgpt.cjs",
-    "document_loaders/fs/chatgpt.js",
-    "document_loaders/fs/chatgpt.d.ts",
-    "document_loaders/fs/chatgpt.d.cts",
     "document_loaders/fs/text.cjs",
     "document_loaders/fs/text.js",
     "document_loaders/fs/text.d.ts",
     "document_loaders/fs/text.d.cts",
-    "document_loaders/fs/json.cjs",
-    "document_loaders/fs/json.js",
-    "document_loaders/fs/json.d.ts",
-    "document_loaders/fs/json.d.cts",
-    "document_loaders/fs/srt.cjs",
-    "document_loaders/fs/srt.js",
-    "document_loaders/fs/srt.d.ts",
-    "document_loaders/fs/srt.d.cts",
-    "document_loaders/fs/pdf.cjs",
-    "document_loaders/fs/pdf.js",
-    "document_loaders/fs/pdf.d.ts",
-    "document_loaders/fs/pdf.d.cts",
-    "document_loaders/fs/docx.cjs",
-    "document_loaders/fs/docx.js",
-    "document_loaders/fs/docx.d.ts",
-    "document_loaders/fs/docx.d.cts",
-    "document_loaders/fs/epub.cjs",
-    "document_loaders/fs/epub.js",
-    "document_loaders/fs/epub.d.ts",
-    "document_loaders/fs/epub.d.cts",
-    "document_loaders/fs/csv.cjs",
-    "document_loaders/fs/csv.js",
-    "document_loaders/fs/csv.d.ts",
-    "document_loaders/fs/csv.d.cts",
-    "document_loaders/fs/notion.cjs",
-    "document_loaders/fs/notion.js",
-    "document_loaders/fs/notion.d.ts",
-    "document_loaders/fs/notion.d.cts",
-    "document_loaders/fs/obsidian.cjs",
-    "document_loaders/fs/obsidian.js",
-    "document_loaders/fs/obsidian.d.ts",
-    "document_loaders/fs/obsidian.d.cts",
-    "document_loaders/fs/unstructured.cjs",
-    "document_loaders/fs/unstructured.js",
-    "document_loaders/fs/unstructured.d.ts",
-    "document_loaders/fs/unstructured.d.cts",
-    "document_loaders/fs/openai_whisper_audio.cjs",
-    "document_loaders/fs/openai_whisper_audio.js",
-    "document_loaders/fs/openai_whisper_audio.d.ts",
-    "document_loaders/fs/openai_whisper_audio.d.cts",
-    "document_loaders/fs/pptx.cjs",
-    "document_loaders/fs/pptx.js",
-    "document_loaders/fs/pptx.d.ts",
-    "document_loaders/fs/pptx.d.cts",
     "document_transformers/openai_functions.cjs",
     "document_transformers/openai_functions.js",
     "document_transformers/openai_functions.d.ts",
@@ -418,30 +258,10 @@
     "retrievers/self_query.js",
     "retrievers/self_query.d.ts",
     "retrievers/self_query.d.cts",
-    "retrievers/self_query/chroma.cjs",
-    "retrievers/self_query/chroma.js",
-    "retrievers/self_query/chroma.d.ts",
-    "retrievers/self_query/chroma.d.cts",
     "retrievers/self_query/functional.cjs",
     "retrievers/self_query/functional.js",
     "retrievers/self_query/functional.d.ts",
     "retrievers/self_query/functional.d.cts",
-    "retrievers/self_query/pinecone.cjs",
-    "retrievers/self_query/pinecone.js",
-    "retrievers/self_query/pinecone.d.ts",
-    "retrievers/self_query/pinecone.d.cts",
-    "retrievers/self_query/supabase.cjs",
-    "retrievers/self_query/supabase.js",
-    "retrievers/self_query/supabase.d.ts",
-    "retrievers/self_query/supabase.d.cts",
-    "retrievers/self_query/weaviate.cjs",
-    "retrievers/self_query/weaviate.js",
-    "retrievers/self_query/weaviate.d.ts",
-    "retrievers/self_query/weaviate.d.cts",
-    "retrievers/self_query/vectara.cjs",
-    "retrievers/self_query/vectara.js",
-    "retrievers/self_query/vectara.d.ts",
-    "retrievers/self_query/vectara.d.cts",
     "retrievers/matryoshka_retriever.cjs",
     "retrievers/matryoshka_retriever.js",
     "retrievers/matryoshka_retriever.d.ts",
@@ -538,10 +358,6 @@
     "experimental/prompts/handlebars.js",
     "experimental/prompts/handlebars.d.ts",
     "experimental/prompts/handlebars.d.cts",
-    "experimental/tools/pyinterpreter.cjs",
-    "experimental/tools/pyinterpreter.js",
-    "experimental/tools/pyinterpreter.d.ts",
-    "experimental/tools/pyinterpreter.d.cts",
     "evaluation.cjs",
     "evaluation.js",
     "evaluation.d.ts",
@@ -593,57 +409,33 @@
   "author": "LangChain",
   "license": "MIT",
   "devDependencies": {
-    "@aws-sdk/client-s3": "^3.310.0",
-    "@aws-sdk/client-sagemaker-runtime": "^3.414.0",
-    "@aws-sdk/client-sfn": "^3.362.0",
-    "@aws-sdk/credential-provider-node": "^3.388.0",
-    "@aws-sdk/types": "^3.357.0",
-    "@azure/storage-blob": "^12.15.0",
-    "@browserbasehq/sdk": "^1.1.5",
-    "@cloudflare/workers-types": "^4.20240909.0",
     "@faker-js/faker": "^7.6.0",
-    "@gomomento/sdk": "^1.51.1",
-    "@gomomento/sdk-core": "^1.51.1",
     "@jest/globals": "^29.5.0",
     "@langchain/anthropic": "^0.2.8",
     "@langchain/aws": "^0.0.5",
     "@langchain/cohere": "^0.2.1",
+    "@langchain/core": "workspace:*",
     "@langchain/google-genai": "^0.0.26",
     "@langchain/google-vertexai": "~0.0",
     "@langchain/groq": "^0.0.15",
     "@langchain/mistralai": "^0.0.26",
     "@langchain/ollama": "^0.0.2",
     "@langchain/scripts": ">=0.1.0 <0.2.0",
-    "@mendable/firecrawl-js": "^0.0.13",
-    "@notionhq/client": "^2.2.10",
-    "@pinecone-database/pinecone": "^1.1.0",
-    "@supabase/supabase-js": "^2.45.0",
     "@swc/core": "^1.3.90",
     "@swc/jest": "^0.2.29",
     "@tsconfig/recommended": "^1.0.2",
-    "@types/d3-dsv": "^2",
     "@types/handlebars": "^4.1.0",
     "@types/html-to-text": "^9",
     "@types/js-yaml": "^4",
     "@types/jsdom": "^21.1.1",
-    "@types/pdf-parse": "^1.1.1",
     "@types/uuid": "^9",
     "@types/ws": "^8",
     "@typescript-eslint/eslint-plugin": "^5.58.0",
     "@typescript-eslint/parser": "^5.58.0",
-    "@vercel/kv": "^0.2.3",
-    "@xata.io/client": "^0.28.0",
-    "apify-client": "^2.7.1",
-    "assemblyai": "^4.6.0",
     "axios": "^0.26.0",
-    "cheerio": "^1.0.0-rc.12",
-    "chromadb": "^1.5.3",
-    "convex": "^1.3.1",
-    "couchbase": "^4.3.0",
-    "d3-dsv": "^2.0.0",
+    "cheerio": "1.0.0-rc.12",
     "dotenv": "^16.0.3",
     "dpdm": "^3.12.0",
-    "epub2": "^3.0.1",
     "eslint": "^8.33.0",
     "eslint-config-airbnb-base": "^15.0.0",
     "eslint-config-prettier": "^8.6.0",
@@ -651,129 +443,38 @@
     "eslint-plugin-jest": "^27.6.0",
     "eslint-plugin-no-instanceof": "^1.0.1",
     "eslint-plugin-prettier": "^4.2.1",
-    "fast-xml-parser": "^4.4.1",
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-    "@aws-sdk/client-sagemaker-runtime": "*",
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     "@langchain/anthropic": "*",
     "@langchain/aws": "*",
     "@langchain/cohere": "*",
     "@langchain/community": "*",
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     "@langchain/google-genai": "*",
     "@langchain/google-vertexai": "*",
     "@langchain/groq": "*",
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-    "weaviate-ts-client": "*",
-    "web-auth-library": "*",
-    "ws": "*",
-    "youtube-transcript": "*",
-    "youtubei.js": "*"
+    "typeorm": "*"
   },
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@@ -801,135 +502,25 @@
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+    "@langchain/openai": ">=0.1.0 <0.3.0 || 0.3.0-rc.0",
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@@ -1292,15 +883,6 @@
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     },
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     "./memory/chat_memory": {
       "types": {
         "import": "./memory/chat_memory.d.ts",
@@ -1328,257 +910,14 @@
       "import": "./document_loaders/base.js",
       "require": "./document_loaders/base.cjs"
     },
-    "./document_loaders/web/apify_dataset": {
-      "types": {
-        "import": "./document_loaders/web/apify_dataset.d.ts",
-        "require": "./document_loaders/web/apify_dataset.d.cts",
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-      },
-      "import": "./document_loaders/web/apify_dataset.js",
-      "require": "./document_loaders/web/apify_dataset.cjs"
-    },
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-        "require": "./document_loaders/web/assemblyai.d.cts",
-        "default": "./document_loaders/web/assemblyai.d.ts"
-      },
-      "import": "./document_loaders/web/assemblyai.js",
-      "require": "./document_loaders/web/assemblyai.cjs"
-    },
-    "./document_loaders/web/azure_blob_storage_container": {
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-        "require": "./document_loaders/web/azure_blob_storage_container.d.cts",
-        "default": "./document_loaders/web/azure_blob_storage_container.d.ts"
-      },
-      "import": "./document_loaders/web/azure_blob_storage_container.js",
-      "require": "./document_loaders/web/azure_blob_storage_container.cjs"
-    },
-    "./document_loaders/web/azure_blob_storage_file": {
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-        "require": "./document_loaders/web/azure_blob_storage_file.d.cts",
-        "default": "./document_loaders/web/azure_blob_storage_file.d.ts"
-      },
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-      "require": "./document_loaders/web/azure_blob_storage_file.cjs"
-    },
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-        "require": "./document_loaders/web/browserbase.d.cts",
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-      "require": "./document_loaders/web/browserbase.cjs"
-    },
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-      },
-      "import": "./document_loaders/web/playwright.js",
-      "require": "./document_loaders/web/playwright.cjs"
-    },
-    "./document_loaders/web/college_confidential": {
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-        "import": "./document_loaders/web/college_confidential.d.ts",
-        "require": "./document_loaders/web/college_confidential.d.cts",
-        "default": "./document_loaders/web/college_confidential.d.ts"
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-      "require": "./document_loaders/web/college_confidential.cjs"
-    },
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-    },
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-      "require": "./document_loaders/web/notionapi.cjs"
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-        "require": "./document_loaders/web/pdf.d.cts",
-        "default": "./document_loaders/web/pdf.d.ts"
-      },
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-      "require": "./document_loaders/web/pdf.cjs"
-    },
-    "./document_loaders/web/recursive_url": {
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-      "require": "./document_loaders/web/recursive_url.cjs"
-    },
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-        "require": "./document_loaders/web/s3.d.cts",
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-    },
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-      "require": "./document_loaders/web/confluence.cjs"
-    },
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-      "require": "./document_loaders/web/searchapi.cjs"
-    },
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-      "require": "./document_loaders/web/serpapi.cjs"
-    },
-    "./document_loaders/web/sort_xyz_blockchain": {
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-      "require": "./document_loaders/web/sort_xyz_blockchain.cjs"
-    },
-    "./document_loaders/web/youtube": {
+    "./document_loaders/fs/buffer": {
       "types": {
-        "import": "./document_loaders/web/youtube.d.ts",
-        "require": "./document_loaders/web/youtube.d.cts",
-        "default": "./document_loaders/web/youtube.d.ts"
+        "import": "./document_loaders/fs/buffer.d.ts",
+        "require": "./document_loaders/fs/buffer.d.cts",
+        "default": "./document_loaders/fs/buffer.d.ts"
       },
-      "import": "./document_loaders/web/youtube.js",
-      "require": "./document_loaders/web/youtube.cjs"
+      "import": "./document_loaders/fs/buffer.js",
+      "require": "./document_loaders/fs/buffer.cjs"
     },
     "./document_loaders/fs/directory": {
       "types": {
@@ -1589,6 +928,15 @@
       "import": "./document_loaders/fs/directory.js",
       "require": "./document_loaders/fs/directory.cjs"
     },
+    "./document_loaders/fs/json": {
+      "types": {
+        "import": "./document_loaders/fs/json.d.ts",
+        "require": "./document_loaders/fs/json.d.cts",
+        "default": "./document_loaders/fs/json.d.ts"
+      },
+      "import": "./document_loaders/fs/json.js",
+      "require": "./document_loaders/fs/json.cjs"
+    },
     "./document_loaders/fs/multi_file": {
       "types": {
         "import": "./document_loaders/fs/multi_file.d.ts",
@@ -1598,24 +946,6 @@
       "import": "./document_loaders/fs/multi_file.js",
       "require": "./document_loaders/fs/multi_file.cjs"
     },
-    "./document_loaders/fs/buffer": {
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-        "require": "./document_loaders/fs/buffer.d.cts",
-        "default": "./document_loaders/fs/buffer.d.ts"
-      },
-      "import": "./document_loaders/fs/buffer.js",
-      "require": "./document_loaders/fs/buffer.cjs"
-    },
-    "./document_loaders/fs/chatgpt": {
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-        "import": "./document_loaders/fs/chatgpt.d.ts",
-        "require": "./document_loaders/fs/chatgpt.d.cts",
-        "default": "./document_loaders/fs/chatgpt.d.ts"
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-      "import": "./document_loaders/fs/chatgpt.js",
-      "require": "./document_loaders/fs/chatgpt.cjs"
-    },
     "./document_loaders/fs/text": {
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@@ -1625,105 +955,6 @@
       "import": "./document_loaders/fs/text.js",
       "require": "./document_loaders/fs/text.cjs"
     },
-    "./document_loaders/fs/json": {
-      "types": {
-        "import": "./document_loaders/fs/json.d.ts",
-        "require": "./document_loaders/fs/json.d.cts",
-        "default": "./document_loaders/fs/json.d.ts"
-      },
-      "import": "./document_loaders/fs/json.js",
-      "require": "./document_loaders/fs/json.cjs"
-    },
-    "./document_loaders/fs/srt": {
-      "types": {
-        "import": "./document_loaders/fs/srt.d.ts",
-        "require": "./document_loaders/fs/srt.d.cts",
-        "default": "./document_loaders/fs/srt.d.ts"
-      },
-      "import": "./document_loaders/fs/srt.js",
-      "require": "./document_loaders/fs/srt.cjs"
-    },
-    "./document_loaders/fs/pdf": {
-      "types": {
-        "import": "./document_loaders/fs/pdf.d.ts",
-        "require": "./document_loaders/fs/pdf.d.cts",
-        "default": "./document_loaders/fs/pdf.d.ts"
-      },
-      "import": "./document_loaders/fs/pdf.js",
-      "require": "./document_loaders/fs/pdf.cjs"
-    },
-    "./document_loaders/fs/docx": {
-      "types": {
-        "import": "./document_loaders/fs/docx.d.ts",
-        "require": "./document_loaders/fs/docx.d.cts",
-        "default": "./document_loaders/fs/docx.d.ts"
-      },
-      "import": "./document_loaders/fs/docx.js",
-      "require": "./document_loaders/fs/docx.cjs"
-    },
-    "./document_loaders/fs/epub": {
-      "types": {
-        "import": "./document_loaders/fs/epub.d.ts",
-        "require": "./document_loaders/fs/epub.d.cts",
-        "default": "./document_loaders/fs/epub.d.ts"
-      },
-      "import": "./document_loaders/fs/epub.js",
-      "require": "./document_loaders/fs/epub.cjs"
-    },
-    "./document_loaders/fs/csv": {
-      "types": {
-        "import": "./document_loaders/fs/csv.d.ts",
-        "require": "./document_loaders/fs/csv.d.cts",
-        "default": "./document_loaders/fs/csv.d.ts"
-      },
-      "import": "./document_loaders/fs/csv.js",
-      "require": "./document_loaders/fs/csv.cjs"
-    },
-    "./document_loaders/fs/notion": {
-      "types": {
-        "import": "./document_loaders/fs/notion.d.ts",
-        "require": "./document_loaders/fs/notion.d.cts",
-        "default": "./document_loaders/fs/notion.d.ts"
-      },
-      "import": "./document_loaders/fs/notion.js",
-      "require": "./document_loaders/fs/notion.cjs"
-    },
-    "./document_loaders/fs/obsidian": {
-      "types": {
-        "import": "./document_loaders/fs/obsidian.d.ts",
-        "require": "./document_loaders/fs/obsidian.d.cts",
-        "default": "./document_loaders/fs/obsidian.d.ts"
-      },
-      "import": "./document_loaders/fs/obsidian.js",
-      "require": "./document_loaders/fs/obsidian.cjs"
-    },
-    "./document_loaders/fs/unstructured": {
-      "types": {
-        "import": "./document_loaders/fs/unstructured.d.ts",
-        "require": "./document_loaders/fs/unstructured.d.cts",
-        "default": "./document_loaders/fs/unstructured.d.ts"
-      },
-      "import": "./document_loaders/fs/unstructured.js",
-      "require": "./document_loaders/fs/unstructured.cjs"
-    },
-    "./document_loaders/fs/openai_whisper_audio": {
-      "types": {
-        "import": "./document_loaders/fs/openai_whisper_audio.d.ts",
-        "require": "./document_loaders/fs/openai_whisper_audio.d.cts",
-        "default": "./document_loaders/fs/openai_whisper_audio.d.ts"
-      },
-      "import": "./document_loaders/fs/openai_whisper_audio.js",
-      "require": "./document_loaders/fs/openai_whisper_audio.cjs"
-    },
-    "./document_loaders/fs/pptx": {
-      "types": {
-        "import": "./document_loaders/fs/pptx.d.ts",
-        "require": "./document_loaders/fs/pptx.d.cts",
-        "default": "./document_loaders/fs/pptx.d.ts"
-      },
-      "import": "./document_loaders/fs/pptx.js",
-      "require": "./document_loaders/fs/pptx.cjs"
-    },
     "./document_transformers/openai_functions": {
       "types": {
         "import": "./document_transformers/openai_functions.d.ts",
@@ -1877,15 +1108,6 @@
       "import": "./retrievers/self_query.js",
       "require": "./retrievers/self_query.cjs"
     },
-    "./retrievers/self_query/chroma": {
-      "types": {
-        "import": "./retrievers/self_query/chroma.d.ts",
-        "require": "./retrievers/self_query/chroma.d.cts",
-        "default": "./retrievers/self_query/chroma.d.ts"
-      },
-      "import": "./retrievers/self_query/chroma.js",
-      "require": "./retrievers/self_query/chroma.cjs"
-    },
     "./retrievers/self_query/functional": {
       "types": {
         "import": "./retrievers/self_query/functional.d.ts",
@@ -1895,42 +1117,6 @@
       "import": "./retrievers/self_query/functional.js",
       "require": "./retrievers/self_query/functional.cjs"
     },
-    "./retrievers/self_query/pinecone": {
-      "types": {
-        "import": "./retrievers/self_query/pinecone.d.ts",
-        "require": "./retrievers/self_query/pinecone.d.cts",
-        "default": "./retrievers/self_query/pinecone.d.ts"
-      },
-      "import": "./retrievers/self_query/pinecone.js",
-      "require": "./retrievers/self_query/pinecone.cjs"
-    },
-    "./retrievers/self_query/supabase": {
-      "types": {
-        "import": "./retrievers/self_query/supabase.d.ts",
-        "require": "./retrievers/self_query/supabase.d.cts",
-        "default": "./retrievers/self_query/supabase.d.ts"
-      },
-      "import": "./retrievers/self_query/supabase.js",
-      "require": "./retrievers/self_query/supabase.cjs"
-    },
-    "./retrievers/self_query/weaviate": {
-      "types": {
-        "import": "./retrievers/self_query/weaviate.d.ts",
-        "require": "./retrievers/self_query/weaviate.d.cts",
-        "default": "./retrievers/self_query/weaviate.d.ts"
-      },
-      "import": "./retrievers/self_query/weaviate.js",
-      "require": "./retrievers/self_query/weaviate.cjs"
-    },
-    "./retrievers/self_query/vectara": {
-      "types": {
-        "import": "./retrievers/self_query/vectara.d.ts",
-        "require": "./retrievers/self_query/vectara.d.cts",
-        "default": "./retrievers/self_query/vectara.d.ts"
-      },
-      "import": "./retrievers/self_query/vectara.js",
-      "require": "./retrievers/self_query/vectara.cjs"
-    },
     "./retrievers/matryoshka_retriever": {
       "types": {
         "import": "./retrievers/matryoshka_retriever.d.ts",
@@ -2147,15 +1333,6 @@
       "import": "./experimental/prompts/handlebars.js",
       "require": "./experimental/prompts/handlebars.cjs"
     },
-    "./experimental/tools/pyinterpreter": {
-      "types": {
-        "import": "./experimental/tools/pyinterpreter.d.ts",
-        "require": "./experimental/tools/pyinterpreter.d.cts",
-        "default": "./experimental/tools/pyinterpreter.d.ts"
-      },
-      "import": "./experimental/tools/pyinterpreter.js",
-      "require": "./experimental/tools/pyinterpreter.cjs"
-    },
     "./evaluation": {
       "types": {
         "import": "./evaluation.d.ts",
diff --git a/langchain/src/agents/chat/index.ts b/langchain/src/agents/chat/index.ts
index de2046c4afde..fab667cedad4 100644
--- a/langchain/src/agents/chat/index.ts
+++ b/langchain/src/agents/chat/index.ts
@@ -44,7 +44,7 @@ export type ChatAgentInput = Optional<AgentInput, "outputParser">;
  * Agent for the MRKL chain.
  * @augments Agent
  *
- * @deprecated Use the {@link https://v02.api.js.langchain.com/functions/langchain.agents.createStructuredChatAgent.html | createStructuredChatAgent method instead}.
+ * @deprecated Use the {@link https://api.js.langchain.com/functions/langchain.agents.createStructuredChatAgent.html | createStructuredChatAgent method instead}.
  */
 export class ChatAgent extends Agent {
   static lc_name() {
diff --git a/langchain/src/agents/chat_convo/index.ts b/langchain/src/agents/chat_convo/index.ts
index 6a68bb5b650c..ba0b0c0b5902 100644
--- a/langchain/src/agents/chat_convo/index.ts
+++ b/langchain/src/agents/chat_convo/index.ts
@@ -51,7 +51,7 @@ export type ChatConversationalAgentInput = Optional<AgentInput, "outputParser">;
  * Agent for the MRKL chain.
  * @augments Agent
  *
- * @deprecated Use the {@link https://v02.api.js.langchain.com/functions/langchain.agents.createStructuredChatAgent.html | createStructuredChatAgent method instead}.
+ * @deprecated Use the {@link https://api.js.langchain.com/functions/langchain.agents.createStructuredChatAgent.html | createStructuredChatAgent method instead}.
  */
 export class ChatConversationalAgent extends Agent {
   static lc_name() {
diff --git a/langchain/src/agents/mrkl/index.ts b/langchain/src/agents/mrkl/index.ts
index 1a52b264f82e..20885ef1b9c3 100644
--- a/langchain/src/agents/mrkl/index.ts
+++ b/langchain/src/agents/mrkl/index.ts
@@ -56,7 +56,7 @@ export type ZeroShotAgentInput = Optional<AgentInput, "outputParser">;
  * });
  * ```
  *
- * @deprecated Use the {@link https://v02.api.js.langchain.com/functions/langchain.agents.createReactAgent.html | createReactAgent method instead}.
+ * @deprecated Use the {@link https://api.js.langchain.com/functions/langchain.agents.createReactAgent.html | createReactAgent method instead}.
  */
 export class ZeroShotAgent extends Agent {
   static lc_name() {
diff --git a/langchain/src/agents/openai_functions/index.ts b/langchain/src/agents/openai_functions/index.ts
index 6be6fc4759f6..adb1761f34bc 100644
--- a/langchain/src/agents/openai_functions/index.ts
+++ b/langchain/src/agents/openai_functions/index.ts
@@ -95,7 +95,7 @@ export interface OpenAIAgentCreatePromptArgs {
  * extends the Agent class and provides additional functionality specific
  * to the OpenAIAgent type.
  *
- * @deprecated Use the {@link https://v02.api.js.langchain.com/functions/langchain.agents.createOpenAIFunctionsAgent.html | createOpenAIFunctionsAgent method instead}.
+ * @deprecated Use the {@link https://api.js.langchain.com/functions/langchain.agents.createOpenAIFunctionsAgent.html | createOpenAIFunctionsAgent method instead}.
  */
 export class OpenAIAgent extends Agent {
   static lc_name() {
@@ -224,7 +224,7 @@ export class OpenAIAgent extends Agent {
 
     const valuesForPrompt = { ...newInputs };
     const valuesForLLM: CallOptionsIfAvailable<typeof llm> = {
-      functions: this.tools.map(convertToOpenAIFunction),
+      functions: this.tools.map((tool) => convertToOpenAIFunction(tool)),
     };
     const callKeys =
       "callKeys" in this.llmChain.llm ? this.llmChain.llm.callKeys : [];
@@ -345,7 +345,7 @@ export async function createOpenAIFunctionsAgent({
     );
   }
   const llmWithTools = llm.bind({
-    functions: tools.map(convertToOpenAIFunction),
+    functions: tools.map((tool) => convertToOpenAIFunction(tool)),
   });
   const agent = AgentRunnableSequence.fromRunnables(
     [
diff --git a/langchain/src/agents/structured_chat/index.ts b/langchain/src/agents/structured_chat/index.ts
index 5549c4528b4b..27d53883d7ae 100644
--- a/langchain/src/agents/structured_chat/index.ts
+++ b/langchain/src/agents/structured_chat/index.ts
@@ -57,7 +57,7 @@ export type StructuredChatAgentInput = Optional<AgentInput, "outputParser">;
 /**
  * Agent that interoperates with Structured Tools using React logic.
  * @augments Agent
- * @deprecated Use the {@link https://v02.api.js.langchain.com/functions/langchain.agents.createStructuredChatAgent.html | createStructuredChatAgent method instead}.
+ * @deprecated Use the {@link https://api.js.langchain.com/functions/langchain.agents.createStructuredChatAgent.html | createStructuredChatAgent method instead}.
  */
 export class StructuredChatAgent extends Agent {
   static lc_name() {
diff --git a/langchain/src/agents/xml/index.ts b/langchain/src/agents/xml/index.ts
index bd169525dbb7..3e07c79f1b12 100644
--- a/langchain/src/agents/xml/index.ts
+++ b/langchain/src/agents/xml/index.ts
@@ -35,7 +35,7 @@ export interface XMLAgentInput {
 /**
  * Class that represents an agent that uses XML tags.
  *
- * @deprecated Use the {@link https://v02.api.js.langchain.com/functions/langchain.agents.createXmlAgent.html | createXmlAgent method instead}.
+ * @deprecated Use the {@link https://api.js.langchain.com/functions/langchain.agents.createXmlAgent.html | createXmlAgent method instead}.
  */
 export class XMLAgent extends BaseSingleActionAgent implements XMLAgentInput {
   static lc_name() {
diff --git a/langchain/src/chains/combine_documents/stuff.ts b/langchain/src/chains/combine_documents/stuff.ts
index 7d687db04936..4236566f6c96 100644
--- a/langchain/src/chains/combine_documents/stuff.ts
+++ b/langchain/src/chains/combine_documents/stuff.ts
@@ -55,12 +55,12 @@ export async function createStuffDocumentsChain<RunOutput = string>({
     [
       RunnablePassthrough.assign({
         [DOCUMENTS_KEY]: new RunnablePick(DOCUMENTS_KEY).pipe(
-          (documents, metadata) =>
+          (documents, config) =>
             formatDocuments({
               documents,
               documentPrompt,
               documentSeparator,
-              config: metadata?.config,
+              config,
             })
         ),
       }),
diff --git a/langchain/src/chains/load.ts b/langchain/src/chains/load.ts
index 362f9e52ac26..3ecdb1cec5f8 100644
--- a/langchain/src/chains/load.ts
+++ b/langchain/src/chains/load.ts
@@ -30,7 +30,7 @@ const loadChainFromFile: FileLoader<BaseChain> = async (
  * const chain = await loadChain("/path/to/chain.json");
  * ```
  *
- * @deprecated Use newer {@link https://v02.api.js.langchain.com/functions/langchain.load.load.html | load method}.
+ * @deprecated Use newer {@link https://api.js.langchain.com/functions/langchain.load.load.html | load method}.
  */
 export const loadChain = async (
   uri: string,
diff --git a/langchain/src/chains/openai_functions/structured_output.ts b/langchain/src/chains/openai_functions/structured_output.ts
index 02b2d487ee18..86896d352201 100644
--- a/langchain/src/chains/openai_functions/structured_output.ts
+++ b/langchain/src/chains/openai_functions/structured_output.ts
@@ -142,7 +142,7 @@ export class FunctionCallStructuredOutputParser<
 }
 
 /**
- * @deprecated Use {@link https://v02.api.js.langchain.com/functions/langchain.chains_openai_functions.createStructuredOutputRunnable.html | createStructuredOutputRunnable} instead
+ * @deprecated Use {@link https://api.js.langchain.com/functions/langchain.chains_openai_functions.createStructuredOutputRunnable.html | createStructuredOutputRunnable} instead
  * Create a chain that returns output matching a JSON Schema.
  * @param input Object that includes all LLMChainInput fields except "outputParser"
  * as well as an additional required "outputSchema" JSON Schema object.
@@ -187,7 +187,7 @@ export function createStructuredOutputChain<
   });
 }
 
-/** @deprecated Use {@link https://v02.api.js.langchain.com/functions/langchain.chains_openai_functions.createStructuredOutputRunnable.html | createStructuredOutputRunnable} instead */
+/** @deprecated Use {@link https://api.js.langchain.com/functions/langchain.chains_openai_functions.createStructuredOutputRunnable.html | createStructuredOutputRunnable} instead */
 export function createStructuredOutputChainFromZod<T extends z.AnyZodObject>(
   zodSchema: T,
   input: Omit<StructuredOutputChainInput<T>, "outputSchema">
diff --git a/langchain/src/chains/serde.ts b/langchain/src/chains/serde.ts
index 911e35d01e2a..d57e8de819c5 100644
--- a/langchain/src/chains/serde.ts
+++ b/langchain/src/chains/serde.ts
@@ -5,7 +5,7 @@ import { SerializedBasePromptTemplate } from "@langchain/core/prompts";
  * Represents the serialized form of an LLMChain. It includes properties
  * such as `_type`, `llm`, and `prompt`.
  *
- * @deprecated Use newer {@link https://v02.api.js.langchain.com/functions/langchain.load.load.html | serialization methods}.
+ * @deprecated Use newer {@link https://api.js.langchain.com/functions/langchain.load.load.html | serialization methods}.
  */
 export type SerializedLLMChain = {
   _type: "llm_chain";
@@ -18,7 +18,7 @@ export type SerializedLLMChain = {
  * properties such as `_type`, `input_variables`, `output_variables`, and
  * `chains`.
  *
- * @deprecated Use newer {@link https://v02.api.js.langchain.com/functions/langchain.load.load.html | serialization methods}.
+ * @deprecated Use newer {@link https://api.js.langchain.com/functions/langchain.load.load.html | serialization methods}.
  */
 export type SerializedSequentialChain = {
   _type: "sequential_chain";
@@ -31,7 +31,7 @@ export type SerializedSequentialChain = {
  * Represents the serialized form of a SimpleSequentialChain. It includes
  * properties such as `_type` and `chains`.
  *
- * @deprecated Use newer {@link https://v02.api.js.langchain.com/functions/langchain.load.load.html | serialization methods}.
+ * @deprecated Use newer {@link https://api.js.langchain.com/functions/langchain.load.load.html | serialization methods}.
  */
 export type SerializedSimpleSequentialChain = {
   _type: "simple_sequential_chain";
@@ -42,7 +42,7 @@ export type SerializedSimpleSequentialChain = {
  * Represents the serialized form of a VectorDBQAChain. It includes
  * properties such as `_type`, `k`, and `combine_documents_chain`.
  *
- * @deprecated Use newer {@link https://v02.api.js.langchain.com/functions/langchain.load.load.html | serialization methods}.
+ * @deprecated Use newer {@link https://api.js.langchain.com/functions/langchain.load.load.html | serialization methods}.
  */
 export type SerializedVectorDBQAChain = {
   _type: "vector_db_qa";
@@ -55,7 +55,7 @@ export type SerializedVectorDBQAChain = {
  * such as `_type`, `api_request_chain`, `api_answer_chain`, and
  * `api_docs`.
  *
- * @deprecated Use newer {@link https://v02.api.js.langchain.com/functions/langchain.load.load.html | serialization methods}.
+ * @deprecated Use newer {@link https://api.js.langchain.com/functions/langchain.load.load.html | serialization methods}.
  */
 export type SerializedAPIChain = {
   _type: "api_chain";
@@ -68,7 +68,7 @@ export type SerializedAPIChain = {
  * Represents the serialized form of a StuffDocumentsChain. It includes
  * properties such as `_type` and `llm_chain`.
  *
- * @deprecated Use newer {@link https://v02.api.js.langchain.com/functions/langchain.load.load.html | serialization methods}.
+ * @deprecated Use newer {@link https://api.js.langchain.com/functions/langchain.load.load.html | serialization methods}.
  */
 export type SerializedStuffDocumentsChain = {
   _type: "stuff_documents_chain";
@@ -80,7 +80,7 @@ export type SerializedStuffDocumentsChain = {
  * properties such as `_type`, `k`, `combine_documents_chain`, and
  * `question_generator`.
  *
- * @deprecated Use newer {@link https://v02.api.js.langchain.com/functions/langchain.load.load.html | serialization methods}.
+ * @deprecated Use newer {@link https://api.js.langchain.com/functions/langchain.load.load.html | serialization methods}.
  */
 export type SerializedChatVectorDBQAChain = {
   _type: "chat-vector-db";
@@ -94,7 +94,7 @@ export type SerializedChatVectorDBQAChain = {
  * includes properties such as `_type`, `llm_chain`, and
  * `combine_document_chain`.
  *
- * @deprecated Use newer {@link https://v02.api.js.langchain.com/functions/langchain.load.load.html | serialization methods}.
+ * @deprecated Use newer {@link https://api.js.langchain.com/functions/langchain.load.load.html | serialization methods}.
  */
 export type SerializedMapReduceDocumentsChain = {
   _type: "map_reduce_documents_chain";
@@ -106,7 +106,7 @@ export type SerializedMapReduceDocumentsChain = {
  * Represents the serialized form of a RefineDocumentsChain. It includes
  * properties such as `_type`, `llm_chain`, and `refine_llm_chain`.
  *
- * @deprecated Use newer {@link https://v02.api.js.langchain.com/functions/langchain.load.load.html | serialization methods}.
+ * @deprecated Use newer {@link https://api.js.langchain.com/functions/langchain.load.load.html | serialization methods}.
  */
 export type SerializedRefineDocumentsChain = {
   _type: "refine_documents_chain";
@@ -118,7 +118,7 @@ export type SerializedRefineDocumentsChain = {
  * Represents the serialized form of an AnalyzeDocumentChain. It includes
  * properties such as `_type` and `combine_document_chain`.
  *
- * @deprecated Use newer {@link https://v02.api.js.langchain.com/functions/langchain.load.load.html | serialization methods}.
+ * @deprecated Use newer {@link https://api.js.langchain.com/functions/langchain.load.load.html | serialization methods}.
  */
 export type SerializedAnalyzeDocumentChain = {
   _type: "analyze_document_chain";
@@ -130,7 +130,7 @@ export type SerializedAnalyzeDocumentChain = {
  * includes properties such as `_type`, `critiqueRequest`,
  * `revisionRequest`, and `name`.
  *
- * @deprecated Use newer {@link https://v02.api.js.langchain.com/functions/langchain.load.load.html | serialization methods}.
+ * @deprecated Use newer {@link https://api.js.langchain.com/functions/langchain.load.load.html | serialization methods}.
  */
 export type SerializedConstitutionalPrinciple = {
   _type: "constitutional_principle";
@@ -158,7 +158,7 @@ export type SerializedConstitutionalChain = {
  * Represents the serialized form of a BaseChain. It can be one of the
  * above serialized chain types.
  *
- * @deprecated Use newer {@link https://v02.api.js.langchain.com/functions/langchain.load.load.html | serialization methods}.
+ * @deprecated Use newer {@link https://api.js.langchain.com/functions/langchain.load.load.html | serialization methods}.
  */
 export type SerializedBaseChain =
   | SerializedLLMChain
diff --git a/langchain/src/document_loaders/fs/chatgpt.ts b/langchain/src/document_loaders/fs/chatgpt.ts
deleted file mode 100644
index 89ae5a67c944..000000000000
--- a/langchain/src/document_loaders/fs/chatgpt.ts
+++ /dev/null
@@ -1,109 +0,0 @@
-import { Document } from "@langchain/core/documents";
-import { TextLoader } from "./text.js";
-import { logVersion020MigrationWarning } from "../../util/entrypoint_deprecation.js";
-
-/* #__PURE__ */ logVersion020MigrationWarning({
-  oldEntrypointName: "document_loaders/fs/chatgpt",
-  newPackageName: "@langchain/community",
-});
-
-interface ChatGPTMessage {
-  author: {
-    role: string;
-  };
-  content: {
-    parts: string[];
-  };
-  create_time: number;
-}
-
-interface ChatGPTLog {
-  title: string;
-  mapping: Record<string, { message: ChatGPTMessage }>;
-}
-
-function concatenateRows(message: ChatGPTMessage, title: string): string {
-  /**
-   * Combine message information in a readable format ready to be used.
-   * @param {ChatGPTMessage} message - Message to be concatenated
-   * @param {string} title - Title of the conversation
-   *
-   * @returns {string} Concatenated message
-   */
-  if (!message) {
-    return "";
-  }
-
-  const sender = message.author ? message.author.role : "unknown";
-  const text = message.content.parts[0];
-  const date = new Date(message.create_time * 1000)
-    .toISOString()
-    .slice(0, 19)
-    .replace("T", " ");
-  return `${title} - ${sender} on ${date}: ${text}\n\n`;
-}
-
-export class ChatGPTLoader extends TextLoader {
-  public numLogs: number;
-
-  constructor(filePathOrBlob: string | Blob, numLogs = 0) {
-    super(filePathOrBlob);
-    this.numLogs = numLogs;
-  }
-
-  protected async parse(raw: string): Promise<string[]> {
-    let data;
-    try {
-      data = JSON.parse(raw);
-    } catch (e) {
-      console.error(e);
-      throw new Error("Failed to parse JSON");
-    }
-
-    const truncatedData = this.numLogs > 0 ? data.slice(0, this.numLogs) : data;
-
-    return truncatedData.map((d: ChatGPTLog) =>
-      Object.values(d.mapping)
-        .filter(
-          (msg, idx) => !(idx === 0 && msg.message.author.role === "system")
-        )
-        .map((msg) => concatenateRows(msg.message, d.title))
-        .join("")
-    );
-  }
-
-  public async load(): Promise<Document[]> {
-    let text: string;
-    let metadata: Record<string, string>;
-    if (typeof this.filePathOrBlob === "string") {
-      const { readFile } = await TextLoader.imports();
-      try {
-        text = await readFile(this.filePathOrBlob, "utf8");
-      } catch (e) {
-        console.error(e);
-        throw new Error("Failed to read file");
-      }
-      metadata = { source: this.filePathOrBlob };
-    } else {
-      try {
-        text = await this.filePathOrBlob.text();
-      } catch (e) {
-        console.error(e);
-        throw new Error("Failed to read blob");
-      }
-      metadata = { source: "blob", blobType: this.filePathOrBlob.type };
-    }
-
-    const parsed = await this.parse(text);
-    return parsed.map(
-      (pageContent, i) =>
-        new Document({
-          pageContent,
-          metadata: {
-            ...metadata,
-            logIndex: i + 1,
-          },
-        })
-    );
-  }
-}
diff --git a/langchain/src/document_loaders/fs/csv.ts b/langchain/src/document_loaders/fs/csv.ts
deleted file mode 100644
index 1cd064330812..000000000000
--- a/langchain/src/document_loaders/fs/csv.ts
+++ /dev/null
@@ -1,118 +0,0 @@
-import { TextLoader } from "./text.js";
-import { logVersion020MigrationWarning } from "../../util/entrypoint_deprecation.js";
-
-/* #__PURE__ */ logVersion020MigrationWarning({
-  oldEntrypointName: "document_loaders/fs/csv",
-  newPackageName: "@langchain/community",
-});
-
-/**
- * Loads a CSV file into a list of documents.
- * Each document represents one row of the CSV file.
- *
- * When `column` is not specified, each row is converted into a key/value pair
- * with each key/value pair outputted to a new line in the document's pageContent.
- *
- * @example
- * // CSV file:
- * // id,html
- * // 1,<i>Corruption discovered at the core of the Banking Clan!</i>
- * // 2,<i>Corruption discovered at the core of the Banking Clan!</i>
- *
- * const loader = new CSVLoader("path/to/file.csv");
- * const docs = await loader.load();
- *
- * // docs[0].pageContent:
- * // id: 1
- * // html: <i>Corruption discovered at the core of the Banking Clan!</i>
- *
- * When `column` is specified, one document is created for each row, and the
- * value of the specified column is used as the document's pageContent.
- *
- * @example
- * // CSV file:
- * // id,html
- * // 1,<i>Corruption discovered at the core of the Banking Clan!</i>
- * // 2,<i>Corruption discovered at the core of the Banking Clan!</i>
- *
- * const loader = new CSVLoader("path/to/file.csv", "html");
- * const docs = await loader.load();
- *
- * // docs[0].pageContent:
- * // <i>Corruption discovered at the core of the Banking Clan!</i>
- */
-
-type CSVLoaderOptions = {
-  column?: string;
-  separator?: string;
-};
-
-/**
- * A class that extends the TextLoader class. It represents a document
- * loader that loads documents from a CSV file. It has a constructor that
- * takes a `filePathOrBlob` parameter representing the path to the CSV
- * file or a Blob object, and an optional `options` parameter of type
- * `CSVLoaderOptions` or a string representing the column to use as the
- * document's pageContent.
- */
-export class CSVLoader extends TextLoader {
-  protected options: CSVLoaderOptions = {};
-
-  constructor(
-    filePathOrBlob: string | Blob,
-    options?: CSVLoaderOptions | string
-  ) {
-    super(filePathOrBlob);
-    if (typeof options === "string") {
-      this.options = { column: options };
-    } else {
-      this.options = options ?? this.options;
-    }
-  }
-
-  /**
-   * A protected method that parses the raw CSV data and returns an array of
-   * strings representing the pageContent of each document. It uses the
-   * `dsvFormat` function from the `d3-dsv` module to parse the CSV data. If
-   * the `column` option is specified, it checks if the column exists in the
-   * CSV file and returns the values of that column as the pageContent. If
-   * the `column` option is not specified, it converts each row of the CSV
-   * data into key/value pairs and joins them with newline characters.
-   * @param raw The raw CSV data to be parsed.
-   * @returns An array of strings representing the pageContent of each document.
-   */
-  protected async parse(raw: string): Promise<string[]> {
-    const { column, separator = "," } = this.options;
-
-    const { dsvFormat } = await CSVLoaderImports();
-    const psv = dsvFormat(separator);
-    const parsed = psv.parse(raw.trim());
-
-    if (column !== undefined) {
-      if (!parsed.columns.includes(column)) {
-        throw new Error(`Column ${column} not found in CSV file.`);
-      }
-      // Note TextLoader will raise an exception if the value is null.
-      // eslint-disable-next-line @typescript-eslint/no-non-null-assertion
-      return parsed.map((row) => row[column]!);
-    }
-
-    return parsed.map((row) =>
-      Object.keys(row)
-        .map((key) => `${key.trim()}: ${row[key]?.trim()}`)
-        .join("\n")
-    );
-  }
-}
-
-async function CSVLoaderImports() {
-  try {
-    const { dsvFormat } = await import("d3-dsv");
-    return { dsvFormat };
-  } catch (e) {
-    console.error(e);
-    throw new Error(
-      "Please install d3-dsv as a dependency with, e.g. `yarn add d3-dsv@2`"
-    );
-  }
-}
diff --git a/langchain/src/document_loaders/fs/docx.ts b/langchain/src/document_loaders/fs/docx.ts
deleted file mode 100644
index 86cda1ae8594..000000000000
--- a/langchain/src/document_loaders/fs/docx.ts
+++ /dev/null
@@ -1,63 +0,0 @@
-import { Document } from "@langchain/core/documents";
-import { BufferLoader } from "./buffer.js";
-import { logVersion020MigrationWarning } from "../../util/entrypoint_deprecation.js";
-
-/* #__PURE__ */ logVersion020MigrationWarning({
-  oldEntrypointName: "document_loaders/fs/docx",
-  newPackageName: "@langchain/community",
-});
-
-/**
- * @deprecated - Import from "@langchain/community/document_loaders/fs/docx" instead. This entrypoint will be removed in 0.3.0.
- *
- * A class that extends the `BufferLoader` class. It represents a document
- * loader that loads documents from DOCX files.
- */
-export class DocxLoader extends BufferLoader {
-  constructor(filePathOrBlob: string | Blob) {
-    super(filePathOrBlob);
-  }
-
-  /**
-   * A method that takes a `raw` buffer and `metadata` as parameters and
-   * returns a promise that resolves to an array of `Document` instances. It
-   * uses the `extractRawText` function from the `mammoth` module to extract
-   * the raw text content from the buffer. If the extracted text content is
-   * empty, it returns an empty array. Otherwise, it creates a new
-   * `Document` instance with the extracted text content and the provided
-   * metadata, and returns it as an array.
-   * @param raw The raw buffer from which to extract text content.
-   * @param metadata The metadata to be associated with the created `Document` instance.
-   * @returns A promise that resolves to an array of `Document` instances.
-   */
-  public async parse(
-    raw: Buffer,
-    metadata: Document["metadata"]
-  ): Promise<Document[]> {
-    const { extractRawText } = await DocxLoaderImports();
-    const docx = await extractRawText({
-      buffer: raw,
-    });
-
-    if (!docx.value) return [];
-
-    return [
-      new Document({
-        pageContent: docx.value,
-        metadata,
-      }),
-    ];
-  }
-}
-
-async function DocxLoaderImports() {
-  try {
-    const { extractRawText } = await import("mammoth");
-    return { extractRawText };
-  } catch (e) {
-    console.error(e);
-    throw new Error(
-      "Failed to load mammoth. Please install it with eg. `npm install mammoth`."
-    );
-  }
-}
diff --git a/langchain/src/document_loaders/fs/epub.ts b/langchain/src/document_loaders/fs/epub.ts
deleted file mode 100644
index 400afdef50d6..000000000000
--- a/langchain/src/document_loaders/fs/epub.ts
+++ /dev/null
@@ -1,107 +0,0 @@
-import type { EPub } from "epub2";
-import { Document } from "@langchain/core/documents";
-import { BaseDocumentLoader } from "../base.js";
-import { logVersion020MigrationWarning } from "../../util/entrypoint_deprecation.js";
-
-/* #__PURE__ */ logVersion020MigrationWarning({
-  oldEntrypointName: "document_loaders/fs/epub",
-  newPackageName: "@langchain/community",
-});
-
-/**
- * @deprecated - Import from "@langchain/community/document_loaders/fs/epub" instead. This entrypoint will be removed in 0.3.0.
- *
- * A class that extends the `BaseDocumentLoader` class. It represents a
- * document loader that loads documents from EPUB files.
- */
-export class EPubLoader extends BaseDocumentLoader {
-  private splitChapters: boolean;
-
-  constructor(public filePath: string, { splitChapters = true } = {}) {
-    super();
-    this.splitChapters = splitChapters;
-  }
-
-  /**
-   * A protected method that takes an EPUB object as a parameter and returns
-   * a promise that resolves to an array of objects representing the content
-   * and metadata of each chapter.
-   * @param epub The EPUB object to parse.
-   * @returns A promise that resolves to an array of objects representing the content and metadata of each chapter.
-   */
-  protected async parse(
-    epub: EPub
-  ): Promise<{ pageContent: string; metadata?: object }[]> {
-    const { htmlToText } = await HtmlToTextImport();
-    const chapters = await Promise.all(
-      epub.flow.map(async (chapter) => {
-        if (!chapter.id) return null as never;
-        const html: string = await epub.getChapterRawAsync(chapter.id);
-        if (!html) return null as never;
-        return {
-          html,
-          title: chapter.title,
-        };
-      })
-    );
-    return chapters.filter(Boolean).map((chapter) => ({
-      pageContent: htmlToText(chapter.html),
-      metadata: {
-        ...(chapter.title && { chapter: chapter.title }),
-      },
-    }));
-  }
-
-  /**
-   * A method that loads the EPUB file and returns a promise that resolves
-   * to an array of `Document` instances.
-   * @returns A promise that resolves to an array of `Document` instances.
-   */
-  public async load(): Promise<Document[]> {
-    const { EPub } = await EpubImport();
-    const epub = await EPub.createAsync(this.filePath);
-
-    const parsed = await this.parse(epub);
-    const metadata = { source: this.filePath };
-
-    if (parsed.length === 0) return [];
-
-    return this.splitChapters
-      ? parsed.map(
-          (chapter) =>
-            new Document({
-              pageContent: chapter.pageContent,
-              metadata: {
-                ...metadata,
-                ...chapter.metadata,
-              },
-            })
-        )
-      : [
-          new Document({
-            pageContent: parsed
-              .map((chapter) => chapter.pageContent)
-              .join("\n\n"),
-            metadata,
-          }),
-        ];
-  }
-}
-
-async function EpubImport() {
-  const { EPub } = await import("epub2").catch(() => {
-    throw new Error(
-      "Failed to load epub2. Please install it with eg. `npm install epub2`."
-    );
-  });
-  return { EPub };
-}
-
-async function HtmlToTextImport() {
-  const { htmlToText } = await import("html-to-text").catch(() => {
-    throw new Error(
-      "Failed to load html-to-text. Please install it with eg. `npm install html-to-text`."
-    );
-  });
-  return { htmlToText };
-}
diff --git a/langchain/src/document_loaders/fs/notion.ts b/langchain/src/document_loaders/fs/notion.ts
deleted file mode 100644
index 7ff4b63fcde6..000000000000
--- a/langchain/src/document_loaders/fs/notion.ts
+++ /dev/null
@@ -1,29 +0,0 @@
-import { DirectoryLoader, UnknownHandling } from "./directory.js";
-import { TextLoader } from "./text.js";
-import { logVersion020MigrationWarning } from "../../util/entrypoint_deprecation.js";
-
-/* #__PURE__ */ logVersion020MigrationWarning({
-  oldEntrypointName: "document_loaders/fs/notion",
-  newPackageName: "@langchain/community",
-});
-
-/**
- * @deprecated - Import from "@langchain/community/document_loaders/fs/notion" instead. This entrypoint will be removed in 0.3.0.
- *
- * A class that extends the DirectoryLoader class. It represents a
- * document loader that loads documents from a directory in the Notion
- * format. It uses the TextLoader for loading '.md' files and ignores
- * unknown file types.
- */
-export class NotionLoader extends DirectoryLoader {
-  constructor(directoryPath: string) {
-    super(
-      directoryPath,
-      {
-        ".md": (filePath) => new TextLoader(filePath),
-      },
-      true,
-      UnknownHandling.Ignore
-    );
-  }
-}
diff --git a/langchain/src/document_loaders/fs/obsidian.ts b/langchain/src/document_loaders/fs/obsidian.ts
deleted file mode 100644
index 4da1a48454d1..000000000000
--- a/langchain/src/document_loaders/fs/obsidian.ts
+++ /dev/null
@@ -1,272 +0,0 @@
-import type { basename as BasenameT } from "node:path";
-import type { readFile as ReadFileT, stat as StatT } from "node:fs/promises";
-import yaml from "js-yaml";
-import { Document } from "@langchain/core/documents";
-import { getEnv } from "@langchain/core/utils/env";
-import { DirectoryLoader, UnknownHandling } from "./directory.js";
-import { BaseDocumentLoader } from "../base.js";
-import { logVersion020MigrationWarning } from "../../util/entrypoint_deprecation.js";
-
-/* #__PURE__ */ logVersion020MigrationWarning({
-  oldEntrypointName: "document_loaders/fs/obsidian",
-  newPackageName: "@langchain/community",
-});
-
-export type FrontMatter = {
-  title?: string;
-  description?: string;
-  tags?: string[] | string;
-  [key: string]: unknown;
-};
-
-export interface ObsidianFileLoaderOptions {
-  encoding?: BufferEncoding;
-  collectMetadata?: boolean;
-}
-
-/**
- * Represents a loader for Obsidian markdown files. This loader extends the BaseDocumentLoader
- * and provides functionality to parse and extract metadata, tags, and dataview fields from
- * Obsidian markdown files.
- */
-class ObsidianFileLoader extends BaseDocumentLoader {
-  private filePath: string;
-
-  private encoding: BufferEncoding;
-
-  private collectMetadata: boolean;
-
-  /**
-   * Initializes a new instance of the ObsidianFileLoader class.
-   * @param filePath The path to the Obsidian markdown file.
-   * @param encoding The character encoding to use when reading the file. Defaults to 'utf-8'.
-   * @param collectMetadata Determines whether metadata should be collected from the file. Defaults to true.
-   */
-  constructor(
-    filePath: string,
-    {
-      encoding = "utf-8",
-      collectMetadata = true,
-    }: ObsidianFileLoaderOptions = {}
-  ) {
-    super();
-    this.filePath = filePath;
-    this.encoding = encoding;
-    this.collectMetadata = collectMetadata;
-  }
-
-  private static FRONT_MATTER_REGEX = /^---\n(.*?)\n---\n/s;
-
-  /**
-   * Parses the YAML front matter from the given content string.
-   * @param content The string content of the markdown file.
-   * @returns An object representing the parsed front matter.
-   */
-  private parseFrontMatter(content: string): FrontMatter {
-    if (!this.collectMetadata) {
-      return {};
-    }
-
-    const match = content.match(ObsidianFileLoader.FRONT_MATTER_REGEX);
-    if (!match) {
-      return {};
-    }
-
-    try {
-      const frontMatter = yaml.load(match[1]) as FrontMatter;
-      if (frontMatter.tags && typeof frontMatter.tags === "string") {
-        frontMatter.tags = frontMatter.tags.split(", ");
-      }
-
-      return frontMatter;
-    } catch (e) {
-      console.warn("Encountered non-yaml frontmatter");
-      return {};
-    }
-  }
-
-  /**
-   * Removes YAML front matter from the given content string.
-   * @param content The string content of the markdown file.
-   * @returns The content string with the front matter removed.
-   */
-  private removeFrontMatter(content: string): string {
-    if (!this.collectMetadata) {
-      return content;
-    }
-
-    return content.replace(ObsidianFileLoader.FRONT_MATTER_REGEX, "");
-  }
-
-  private static TAG_REGEX = /(?:\s|^)#([a-zA-Z_][\w/-]*)/g;
-
-  /**
-   * Parses Obsidian-style tags from the given content string.
-   * @param content The string content of the markdown file.
-   * @returns A set of parsed tags.
-   */
-  private parseObsidianTags(content: string): Set<string> {
-    if (!this.collectMetadata) {
-      return new Set();
-    }
-
-    const matches = content.matchAll(ObsidianFileLoader.TAG_REGEX);
-    const tags = new Set<string>();
-    for (const match of matches) {
-      tags.add(match[1]);
-    }
-
-    return tags;
-  }
-
-  private static DATAVIEW_LINE_REGEX = /^\s*(\w+)::\s*(.*)$/gm;
-
-  private static DATAVIEW_INLINE_BRACKET_REGEX = /\[(\w+)::\s*(.*)\]/gm;
-
-  private static DATAVIEW_INLINE_PAREN_REGEX = /\((\w+)::\s*(.*)\)/gm;
-
-  /**
-   * Parses dataview fields from the given content string.
-   * @param content The string content of the markdown file.
-   * @returns A record object containing key-value pairs of dataview fields.
-   */
-  private parseObsidianDataviewFields(content: string): Record<string, string> {
-    if (!this.collectMetadata) {
-      return {};
-    }
-
-    const fields: Record<string, string> = {};
-    const lineMatches = content.matchAll(
-      ObsidianFileLoader.DATAVIEW_LINE_REGEX
-    );
-    for (const [, key, value] of lineMatches) {
-      fields[key] = value;
-    }
-
-    const bracketMatches = content.matchAll(
-      ObsidianFileLoader.DATAVIEW_INLINE_BRACKET_REGEX
-    );
-    for (const [, key, value] of bracketMatches) {
-      fields[key] = value;
-    }
-
-    const parenMatches = content.matchAll(
-      ObsidianFileLoader.DATAVIEW_INLINE_PAREN_REGEX
-    );
-    for (const [, key, value] of parenMatches) {
-      fields[key] = value;
-    }
-
-    return fields;
-  }
-
-  /**
-   * Converts metadata to a format compatible with Langchain.
-   * @param metadata The metadata object to convert.
-   * @returns A record object containing key-value pairs of Langchain-compatible metadata.
-   */
-  private toLangchainCompatibleMetadata(metadata: Record<string, unknown>) {
-    const result: Record<string, unknown> = {};
-    for (const [key, value] of Object.entries(metadata)) {
-      if (typeof value === "string" || typeof value === "number") {
-        result[key] = value;
-      } else {
-        result[key] = JSON.stringify(value);
-      }
-    }
-    return result;
-  }
-
-  /**
-   * It loads the Obsidian file, parses it, and returns a `Document` instance.
-   * @returns An array of `Document` instances to comply with the BaseDocumentLoader interface.
-   */
-  public async load(): Promise<Document[]> {
-    const documents: Document[] = [];
-
-    const { basename, readFile, stat } = await ObsidianFileLoader.imports();
-    const fileName = basename(this.filePath);
-    const stats = await stat(this.filePath);
-    let content = await readFile(this.filePath, this.encoding);
-
-    const frontMatter = this.parseFrontMatter(content);
-    const tags = this.parseObsidianTags(content);
-    const dataviewFields = this.parseObsidianDataviewFields(content);
-    content = this.removeFrontMatter(content);
-
-    const metadata: Document["metadata"] = {
-      source: fileName,
-      path: this.filePath,
-      created: stats.birthtimeMs,
-      lastModified: stats.mtimeMs,
-      lastAccessed: stats.atimeMs,
-      ...this.toLangchainCompatibleMetadata(frontMatter),
-      ...dataviewFields,
-    };
-
-    if (tags.size || frontMatter.tags) {
-      metadata.tags = Array.from(
-        new Set([...tags, ...(frontMatter.tags ?? [])])
-      ).join(",");
-    }
-
-    documents.push(
-      new Document({
-        pageContent: content,
-        metadata,
-      })
-    );
-
-    return documents;
-  }
-
-  /**
-   * Imports the necessary functions from the `node:path` and
-   * `node:fs/promises` modules. It is used to dynamically import the
-   * functions when needed. If the import fails, it throws an error
-   * indicating that the modules failed to load.
-   * @returns A promise that resolves to an object containing the imported functions.
-   */
-  static async imports(): Promise<{
-    basename: typeof BasenameT;
-    readFile: typeof ReadFileT;
-    stat: typeof StatT;
-  }> {
-    try {
-      const { basename } = await import("node:path");
-      const { readFile, stat } = await import("node:fs/promises");
-      return { basename, readFile, stat };
-    } catch (e) {
-      console.error(e);
-      throw new Error(
-        `Failed to load fs/promises. ObsidianFileLoader available only on environment 'node'. It appears you are running environment '${getEnv()}'. See https://<link to docs> for alternatives.`
-      );
-    }
-  }
-}
-
-/**
- * @deprecated - Import from "@langchain/community/document_loaders/fs/obsidian" instead. This entrypoint will be removed in 0.3.0.
- *
- * Represents a loader for directories containing Obsidian markdown files. This loader extends
- * the DirectoryLoader and provides functionality to load and parse '.md' files with YAML frontmatter,
- * Obsidian tags, and Dataview fields.
- */
-export class ObsidianLoader extends DirectoryLoader {
-  /**
-   * Initializes a new instance of the ObsidianLoader class.
-   * @param directoryPath The path to the directory containing Obsidian markdown files.
-   * @param encoding The character encoding to use when reading files. Defaults to 'utf-8'.
-   * @param collectMetadata Determines whether metadata should be collected from the files. Defaults to true.
-   */
-  constructor(directoryPath: string, options?: ObsidianFileLoaderOptions) {
-    super(
-      directoryPath,
-      {
-        ".md": (filePath) => new ObsidianFileLoader(filePath, options),
-      },
-      true,
-      UnknownHandling.Ignore
-    );
-  }
-}
diff --git a/langchain/src/document_loaders/fs/openai_whisper_audio.ts b/langchain/src/document_loaders/fs/openai_whisper_audio.ts
deleted file mode 100644
index b3ba2c9d59fc..000000000000
--- a/langchain/src/document_loaders/fs/openai_whisper_audio.ts
+++ /dev/null
@@ -1,56 +0,0 @@
-import { type ClientOptions, OpenAIClient, toFile } from "@langchain/openai";
-
-import { Document } from "@langchain/core/documents";
-import { BufferLoader } from "./buffer.js";
-import { logVersion020MigrationWarning } from "../../util/entrypoint_deprecation.js";
-
-/* #__PURE__ */ logVersion020MigrationWarning({
-  oldEntrypointName: "document_loaders/fs/openai_whisper_audio",
-  newPackageName: "@langchain/community",
-});
-
-const MODEL_NAME = "whisper-1";
-
-/**
- * @deprecated - Import from "@langchain/community/document_loaders/fs/openai_whisper_audio" instead. This entrypoint will be removed in 0.3.0.
- *
- * @example
- * ```typescript
- * const loader = new OpenAIWhisperAudio(
- *   "./src/document_loaders/example_data/test.mp3",
- * );
- * const docs = await loader.load();
- * console.log(docs);
- * ```
- */
-export class OpenAIWhisperAudio extends BufferLoader {
-  private readonly openAIClient: OpenAIClient;
-
-  constructor(
-    filePathOrBlob: string | Blob,
-    fields?: {
-      clientOptions?: ClientOptions;
-    }
-  ) {
-    super(filePathOrBlob);
-    this.openAIClient = new OpenAIClient(fields?.clientOptions);
-  }
-
-  protected async parse(
-    raw: Buffer,
-    metadata: Record<string, string>
-  ): Promise<Document[]> {
-    const fileName =
-      metadata.source === "blob" ? metadata.blobType : metadata.source;
-    const transcriptionResponse =
-      await this.openAIClient.audio.transcriptions.create({
-        file: await toFile(raw, fileName),
-        model: MODEL_NAME,
-      });
-    const document = new Document({
-      pageContent: transcriptionResponse.text,
-      metadata,
-    });
-    return [document];
-  }
-}
diff --git a/langchain/src/document_loaders/fs/pdf.ts b/langchain/src/document_loaders/fs/pdf.ts
deleted file mode 100644
index 35350e5d9a77..000000000000
--- a/langchain/src/document_loaders/fs/pdf.ts
+++ /dev/null
@@ -1,159 +0,0 @@
-import { Document } from "@langchain/core/documents";
-import { BufferLoader } from "./buffer.js";
-import { formatDocumentsAsString } from "../../util/document.js";
-import { logVersion020MigrationWarning } from "../../util/entrypoint_deprecation.js";
-
-/* #__PURE__ */ logVersion020MigrationWarning({
-  oldEntrypointName: "document_loaders/fs/pdf",
-  newPackageName: "@langchain/community",
-});
-
-/**
- * @deprecated - Import from "@langchain/community/document_loaders/fs/pdf" instead. This entrypoint will be removed in 0.3.0.
- *
- * A class that extends the `BufferLoader` class. It represents a document
- * loader that loads documents from PDF files.
- * @example
- * ```typescript
- * const loader = new PDFLoader("path/to/bitcoin.pdf");
- * const docs = await loader.load();
- * console.log({ docs });
- * ```
- */
-export class PDFLoader extends BufferLoader {
-  private splitPages: boolean;
-
-  private pdfjs: typeof PDFLoaderImports;
-
-  protected parsedItemSeparator: string;
-
-  constructor(
-    filePathOrBlob: string | Blob,
-    {
-      splitPages = true,
-      pdfjs = PDFLoaderImports,
-      parsedItemSeparator = "",
-    } = {}
-  ) {
-    super(filePathOrBlob);
-    this.splitPages = splitPages;
-    this.pdfjs = pdfjs;
-    this.parsedItemSeparator = parsedItemSeparator;
-  }
-
-  /**
-   * A method that takes a `raw` buffer and `metadata` as parameters and
-   * returns a promise that resolves to an array of `Document` instances. It
-   * uses the `getDocument` function from the PDF.js library to load the PDF
-   * from the buffer. It then iterates over each page of the PDF, retrieves
-   * the text content using the `getTextContent` method, and joins the text
-   * items to form the page content. It creates a new `Document` instance
-   * for each page with the extracted text content and metadata, and adds it
-   * to the `documents` array. If `splitPages` is `true`, it returns the
-   * array of `Document` instances. Otherwise, if there are no documents, it
-   * returns an empty array. Otherwise, it concatenates the page content of
-   * all documents and creates a single `Document` instance with the
-   * concatenated content.
-   * @param raw The buffer to be parsed.
-   * @param metadata The metadata of the document.
-   * @returns A promise that resolves to an array of `Document` instances.
-   */
-  public async parse(
-    raw: Buffer,
-    metadata: Document["metadata"]
-  ): Promise<Document[]> {
-    const { getDocument, version } = await this.pdfjs();
-    const pdf = await getDocument({
-      data: new Uint8Array(raw.buffer),
-      useWorkerFetch: false,
-      isEvalSupported: false,
-      useSystemFonts: true,
-    }).promise;
-    const meta = await pdf.getMetadata().catch(() => null);
-
-    const documents: Document[] = [];
-
-    for (let i = 1; i <= pdf.numPages; i += 1) {
-      const page = await pdf.getPage(i);
-      const content = await page.getTextContent();
-
-      if (content.items.length === 0) {
-        continue;
-      }
-
-      // Eliminate excessive newlines
-      // Source: https://github.com/albertcui/pdf-parse/blob/7086fc1cc9058545cdf41dd0646d6ae5832c7107/lib/pdf-parse.js#L16
-      let lastY;
-      const textItems = [];
-      for (const item of content.items) {
-        if ("str" in item) {
-          if (lastY === item.transform[5] || !lastY) {
-            textItems.push(item.str);
-          } else {
-            textItems.push(`\n${item.str}`);
-          }
-          // eslint-disable-next-line prefer-destructuring
-          lastY = item.transform[5];
-        }
-      }
-
-      const text = textItems.join(this.parsedItemSeparator);
-
-      documents.push(
-        new Document({
-          pageContent: text,
-          metadata: {
-            ...metadata,
-            pdf: {
-              version,
-              info: meta?.info,
-              metadata: meta?.metadata,
-              totalPages: pdf.numPages,
-            },
-            loc: {
-              pageNumber: i,
-            },
-          },
-        })
-      );
-    }
-
-    if (this.splitPages) {
-      return documents;
-    }
-
-    if (documents.length === 0) {
-      return [];
-    }
-
-    return [
-      new Document({
-        pageContent: formatDocumentsAsString(documents),
-        metadata: {
-          ...metadata,
-          pdf: {
-            version,
-            info: meta?.info,
-            metadata: meta?.metadata,
-            totalPages: pdf.numPages,
-          },
-        },
-      }),
-    ];
-  }
-}
-
-async function PDFLoaderImports() {
-  try {
-    const { default: mod } = await import(
-      "pdf-parse/lib/pdf.js/v1.10.100/build/pdf.js"
-    );
-    const { getDocument, version } = mod;
-    return { getDocument, version };
-  } catch (e) {
-    console.error(e);
-    throw new Error(
-      "Failed to load pdf-parse. Please install it with eg. `npm install pdf-parse`."
-    );
-  }
-}
diff --git a/langchain/src/document_loaders/fs/pptx.ts b/langchain/src/document_loaders/fs/pptx.ts
deleted file mode 100644
index 62af3e22211e..000000000000
--- a/langchain/src/document_loaders/fs/pptx.ts
+++ /dev/null
@@ -1,49 +0,0 @@
-import { parseOfficeAsync } from "officeparser";
-import { Document } from "@langchain/core/documents";
-import { BufferLoader } from "./buffer.js";
-import { logVersion020MigrationWarning } from "../../util/entrypoint_deprecation.js";
-
-/* #__PURE__ */ logVersion020MigrationWarning({
-  oldEntrypointName: "document_loaders/fs/pptx",
-  newPackageName: "@langchain/community",
-});
-
-/**
- * @deprecated - Import from "@langchain/community/document_loaders/fs/pptx" instead. This entrypoint will be removed in 0.3.0.
- *
- * A class that extends the `BufferLoader` class. It represents a document
- * loader that loads documents from PDF files.
- */
-export class PPTXLoader extends BufferLoader {
-  constructor(filePathOrBlob: string | Blob) {
-    super(filePathOrBlob);
-  }
-
-  /**
-   * A method that takes a `raw` buffer and `metadata` as parameters and
-   * returns a promise that resolves to an array of `Document` instances. It
-   * uses the `parseOfficeAsync` function from the `officeparser` module to extract
-   * the raw text content from the buffer. If the extracted powerpoint content is
-   * empty, it returns an empty array. Otherwise, it creates a new
-   * `Document` instance with the extracted powerpoint content and the provided
-   * metadata, and returns it as an array.
-   * @param raw The buffer to be parsed.
-   * @param metadata The metadata of the document.
-   * @returns A promise that resolves to an array of `Document` instances.
-   */
-  public async parse(
-    raw: Buffer,
-    metadata: Document["metadata"]
-  ): Promise<Document[]> {
-    const pptx = await parseOfficeAsync(raw, { outputErrorToConsole: true });
-
-    if (!pptx) return [];
-
-    return [
-      new Document({
-        pageContent: pptx,
-        metadata,
-      }),
-    ];
-  }
-}
diff --git a/langchain/src/document_loaders/fs/srt.ts b/langchain/src/document_loaders/fs/srt.ts
deleted file mode 100644
index ff9ec29d30ad..000000000000
--- a/langchain/src/document_loaders/fs/srt.ts
+++ /dev/null
@@ -1,53 +0,0 @@
-import srtParser2 from "srt-parser-2";
-import { TextLoader } from "./text.js";
-import { logVersion020MigrationWarning } from "../../util/entrypoint_deprecation.js";
-
-/* #__PURE__ */ logVersion020MigrationWarning({
-  oldEntrypointName: "document_loaders/fs/srt",
-  newPackageName: "@langchain/community",
-});
-
-/**
- * @deprecated - Import from "@langchain/community/document_loaders/fs/srt" instead. This entrypoint will be removed in 0.3.0.
- *
- * A class that extends the `TextLoader` class. It represents a document
- * loader that loads documents from SRT (SubRip) subtitle files. It has a
- * constructor that takes a `filePathOrBlob` parameter representing the
- * path to the SRT file or a `Blob` object. The `parse()` method is
- * implemented to parse the SRT file and extract the text content of each
- * subtitle.
- * @example
- * ```typescript
- * const loader = new SRTLoader("path/to/file.srt");
- * const docs = await loader.load();
- * console.log({ docs });
- * ```
- */
-export class SRTLoader extends TextLoader {
-  constructor(filePathOrBlob: string | Blob) {
-    super(filePathOrBlob);
-  }
-
-  /**
-   * A protected method that takes a `raw` string as a parameter and returns
-   * a promise that resolves to an array of strings. It parses the raw SRT
-   * string using the `SRTParser2` class from the `srt-parser-2` module. It
-   * retrieves the subtitle objects from the parsed SRT data and extracts
-   * the text content from each subtitle object. It filters out any empty
-   * text content and joins the non-empty text content with a space
-   * separator.
-   * @param raw The raw SRT string to be parsed.
-   * @returns A promise that resolves to an array of strings representing the text content of each subtitle.
-   */
-  protected async parse(raw: string): Promise<string[]> {
-    // eslint-disable-next-line new-cap
-    const parser = new srtParser2();
-    const srts = parser.fromSrt(raw);
-    return [
-      srts
-        .map((srt) => srt.text)
-        .filter(Boolean)
-        .join(" "),
-    ];
-  }
-}
diff --git a/langchain/src/document_loaders/fs/unstructured.ts b/langchain/src/document_loaders/fs/unstructured.ts
deleted file mode 100644
index e3b62a9cfbc3..000000000000
--- a/langchain/src/document_loaders/fs/unstructured.ts
+++ /dev/null
@@ -1,410 +0,0 @@
-import type { basename as BasenameT } from "node:path";
-import type { readFile as ReadFileT } from "node:fs/promises";
-import { Document } from "@langchain/core/documents";
-import { getEnv } from "@langchain/core/utils/env";
-import { StringWithAutocomplete } from "@langchain/core/utils/types";
-import {
-  DirectoryLoader,
-  UnknownHandling,
-  LoadersMapping,
-} from "./directory.js";
-import { BaseDocumentLoader } from "../base.js";
-import { logVersion020MigrationWarning } from "../../util/entrypoint_deprecation.js";
-
-/* #__PURE__ */ logVersion020MigrationWarning({
-  oldEntrypointName: "document_loaders/fs/unstructured",
-  newPackageName: "@langchain/community",
-});
-
-const UNSTRUCTURED_API_FILETYPES = [
-  ".txt",
-  ".text",
-  ".pdf",
-  ".docx",
-  ".doc",
-  ".jpg",
-  ".jpeg",
-  ".eml",
-  ".html",
-  ".htm",
-  ".md",
-  ".pptx",
-  ".ppt",
-  ".msg",
-  ".rtf",
-  ".xlsx",
-  ".xls",
-  ".odt",
-  ".epub",
-];
-
-/**
- * Represents an element returned by the Unstructured API. It has
- * properties for the element type, text content, and metadata.
- */
-type Element = {
-  type: string;
-  text: string;
-  // this is purposefully loosely typed
-  metadata: {
-    [key: string]: unknown;
-  };
-};
-
-/**
- * Represents the available strategies for the UnstructuredLoader. It can
- * be one of "hi_res", "fast", "ocr_only", or "auto".
- */
-export type UnstructuredLoaderStrategy =
-  | "hi_res"
-  | "fast"
-  | "ocr_only"
-  | "auto";
-
-/**
- * Represents the available hi-res models for the UnstructuredLoader. It can
- * be one of "chipper".
- */
-export type HiResModelName = "chipper";
-
-/**
- * To enable or disable table extraction for file types other than PDF, set
- * the skipInferTableTypes property in the UnstructuredLoaderOptions object.
- * The skipInferTableTypes property is an array of file types for which table
- * extraction is disabled. For example, to disable table extraction for .docx
- * and .doc files, set the skipInferTableTypes property to ["docx", "doc"].
- * You can also disable table extraction for all file types other than PDF by
- * setting the skipInferTableTypes property to [].
- */
-export type SkipInferTableTypes =
-  | "txt"
-  | "text"
-  | "pdf"
-  | "docx"
-  | "doc"
-  | "jpg"
-  | "jpeg"
-  | "eml"
-  | "html"
-  | "htm"
-  | "md"
-  | "pptx"
-  | "ppt"
-  | "msg"
-  | "rtf"
-  | "xlsx"
-  | "xls"
-  | "odt"
-  | "epub";
-
-/**
- * Set the chunking_strategy to chunk text into larger or smaller elements. Defaults to None with optional arg of by_title
- */
-type ChunkingStrategy = "None" | "by_title";
-
-export type UnstructuredLoaderOptions = {
-  apiKey?: string;
-  apiUrl?: string;
-  strategy?: StringWithAutocomplete<UnstructuredLoaderStrategy>;
-  encoding?: string;
-  ocrLanguages?: Array<string>;
-  coordinates?: boolean;
-  pdfInferTableStructure?: boolean;
-  xmlKeepTags?: boolean;
-  skipInferTableTypes?: Array<StringWithAutocomplete<SkipInferTableTypes>>;
-  hiResModelName?: StringWithAutocomplete<HiResModelName>;
-  includePageBreaks?: boolean;
-  chunkingStrategy?: StringWithAutocomplete<ChunkingStrategy>;
-  multiPageSections?: boolean;
-  combineUnderNChars?: number;
-  newAfterNChars?: number;
-  maxCharacters?: number;
-};
-
-type UnstructuredDirectoryLoaderOptions = UnstructuredLoaderOptions & {
-  recursive?: boolean;
-  unknown?: UnknownHandling;
-};
-
-type UnstructuredMemoryLoaderOptions = {
-  buffer: Buffer;
-  fileName: string;
-};
-
-/**
- * @deprecated - Import from "@langchain/community/document_loaders/fs/unstructured" instead. This entrypoint will be removed in 0.3.0.
- *
- * A document loader that uses the Unstructured API to load unstructured
- * documents. It supports both the new syntax with options object and the
- * legacy syntax for backward compatibility. The load() method sends a
- * partitioning request to the Unstructured API and retrieves the
- * partitioned elements. It creates a Document instance for each element
- * and returns an array of Document instances.
- */
-export class UnstructuredLoader extends BaseDocumentLoader {
-  public filePath: string;
-
-  private buffer?: Buffer;
-
-  private fileName?: string;
-
-  private apiUrl = "https://api.unstructured.io/general/v0/general";
-
-  private apiKey?: string;
-
-  private strategy: StringWithAutocomplete<UnstructuredLoaderStrategy> =
-    "hi_res";
-
-  private encoding?: string;
-
-  private ocrLanguages: Array<string> = [];
-
-  private coordinates?: boolean;
-
-  private pdfInferTableStructure?: boolean;
-
-  private xmlKeepTags?: boolean;
-
-  private skipInferTableTypes?: Array<
-    StringWithAutocomplete<SkipInferTableTypes>
-  >;
-
-  private hiResModelName?: StringWithAutocomplete<HiResModelName>;
-
-  private includePageBreaks?: boolean;
-
-  private chunkingStrategy?: StringWithAutocomplete<ChunkingStrategy>;
-
-  private multiPageSections?: boolean;
-
-  private combineUnderNChars?: number;
-
-  private newAfterNChars?: number;
-
-  private maxCharacters?: number;
-
-  constructor(
-    filePathOrLegacyApiUrlOrMemoryBuffer:
-      | string
-      | UnstructuredMemoryLoaderOptions,
-    optionsOrLegacyFilePath: UnstructuredLoaderOptions | string = {}
-  ) {
-    super();
-
-    // Temporary shim to avoid breaking existing users
-    // Remove when API keys are enforced by Unstructured and existing code will break anyway
-    const isLegacySyntax = typeof optionsOrLegacyFilePath === "string";
-    const isMemorySyntax =
-      typeof filePathOrLegacyApiUrlOrMemoryBuffer === "object";
-
-    if (isMemorySyntax) {
-      this.buffer = filePathOrLegacyApiUrlOrMemoryBuffer.buffer;
-      this.fileName = filePathOrLegacyApiUrlOrMemoryBuffer.fileName;
-    } else if (isLegacySyntax) {
-      this.filePath = optionsOrLegacyFilePath;
-      this.apiUrl = filePathOrLegacyApiUrlOrMemoryBuffer;
-    } else {
-      this.filePath = filePathOrLegacyApiUrlOrMemoryBuffer;
-    }
-
-    if (!isLegacySyntax) {
-      const options = optionsOrLegacyFilePath;
-      this.apiKey = options.apiKey;
-      this.apiUrl = options.apiUrl ?? this.apiUrl;
-      this.strategy = options.strategy ?? this.strategy;
-      this.encoding = options.encoding;
-      this.ocrLanguages = options.ocrLanguages ?? this.ocrLanguages;
-      this.coordinates = options.coordinates;
-      this.pdfInferTableStructure = options.pdfInferTableStructure;
-      this.xmlKeepTags = options.xmlKeepTags;
-      this.skipInferTableTypes = options.skipInferTableTypes;
-      this.hiResModelName = options.hiResModelName;
-      this.includePageBreaks = options.includePageBreaks;
-      this.chunkingStrategy = options.chunkingStrategy;
-      this.multiPageSections = options.multiPageSections;
-      this.combineUnderNChars = options.combineUnderNChars;
-      this.newAfterNChars = options.newAfterNChars;
-      this.maxCharacters = options.maxCharacters;
-    }
-  }
-
-  async _partition() {
-    let { buffer } = this;
-    let { fileName } = this;
-
-    if (!buffer) {
-      const { readFile, basename } = await this.imports();
-
-      buffer = await readFile(this.filePath);
-      fileName = basename(this.filePath);
-
-      // I'm aware this reads the file into memory first, but we have lots of work
-      // to do on then consuming Documents in a streaming fashion anyway, so not
-      // worried about this for now.
-    }
-
-    const formData = new FormData();
-    formData.append("files", new Blob([buffer]), fileName);
-    formData.append("strategy", this.strategy);
-    this.ocrLanguages.forEach((language) => {
-      formData.append("ocr_languages", language);
-    });
-    if (this.encoding) {
-      formData.append("encoding", this.encoding);
-    }
-    if (this.coordinates === true) {
-      formData.append("coordinates", "true");
-    }
-    if (this.pdfInferTableStructure === true) {
-      formData.append("pdf_infer_table_structure", "true");
-    }
-    if (this.xmlKeepTags === true) {
-      formData.append("xml_keep_tags", "true");
-    }
-    if (this.skipInferTableTypes) {
-      formData.append(
-        "skip_infer_table_types",
-        JSON.stringify(this.skipInferTableTypes)
-      );
-    }
-    if (this.hiResModelName) {
-      formData.append("hi_res_model_name", this.hiResModelName);
-    }
-    if (this.includePageBreaks) {
-      formData.append("include_page_breaks", "true");
-    }
-    if (this.chunkingStrategy) {
-      formData.append("chunking_strategy", this.chunkingStrategy);
-    }
-    if (this.multiPageSections !== undefined) {
-      formData.append(
-        "multipage_sections",
-        this.multiPageSections ? "true" : "false"
-      );
-    }
-    if (this.combineUnderNChars !== undefined) {
-      formData.append("combine_under_n_chars", String(this.combineUnderNChars));
-    }
-    if (this.newAfterNChars !== undefined) {
-      formData.append("new_after_n_chars", String(this.newAfterNChars));
-    }
-    if (this.maxCharacters !== undefined) {
-      formData.append("max_characters", String(this.maxCharacters));
-    }
-
-    const headers = {
-      "UNSTRUCTURED-API-KEY": this.apiKey ?? "",
-    };
-
-    const response = await fetch(this.apiUrl, {
-      method: "POST",
-      body: formData,
-      headers,
-    });
-
-    if (!response.ok) {
-      throw new Error(
-        `Failed to partition file ${this.filePath} with error ${
-          response.status
-        } and message ${await response.text()}`
-      );
-    }
-
-    const elements = await response.json();
-    if (!Array.isArray(elements)) {
-      throw new Error(
-        `Expected partitioning request to return an array, but got ${elements}`
-      );
-    }
-    return elements.filter((el) => typeof el.text === "string") as Element[];
-  }
-
-  async load(): Promise<Document[]> {
-    const elements = await this._partition();
-
-    const documents: Document[] = [];
-    for (const element of elements) {
-      const { metadata, text } = element;
-      if (typeof text === "string" && text !== "") {
-        documents.push(
-          new Document({
-            pageContent: text,
-            metadata: {
-              ...metadata,
-              category: element.type,
-            },
-          })
-        );
-      }
-    }
-
-    return documents;
-  }
-
-  async imports(): Promise<{
-    readFile: typeof ReadFileT;
-    basename: typeof BasenameT;
-  }> {
-    try {
-      const { readFile } = await import("node:fs/promises");
-      const { basename } = await import("node:path");
-      return { readFile, basename };
-    } catch (e) {
-      console.error(e);
-      throw new Error(
-        `Failed to load fs/promises. TextLoader available only on environment 'node'. It appears you are running environment '${getEnv()}'. See https://<link to docs> for alternatives.`
-      );
-    }
-  }
-}
-
-/**
- * A document loader that loads unstructured documents from a directory
- * using the UnstructuredLoader. It creates a UnstructuredLoader instance
- * for each supported file type and passes it to the DirectoryLoader
- * constructor.
- * @example
- * ```typescript
- * const loader = new UnstructuredDirectoryLoader("path/to/directory", {
- *   apiKey: "MY_API_KEY",
- * });
- * const docs = await loader.load();
- * ```
- */
-export class UnstructuredDirectoryLoader extends DirectoryLoader {
-  constructor(
-    directoryPathOrLegacyApiUrl: string,
-    optionsOrLegacyDirectoryPath: UnstructuredDirectoryLoaderOptions | string,
-    legacyOptionRecursive = true,
-    legacyOptionUnknown: UnknownHandling = UnknownHandling.Warn
-  ) {
-    let directoryPath;
-    let options: UnstructuredDirectoryLoaderOptions;
-    // Temporary shim to avoid breaking existing users
-    // Remove when API keys are enforced by Unstructured and existing code will break anyway
-    const isLegacySyntax = typeof optionsOrLegacyDirectoryPath === "string";
-    if (isLegacySyntax) {
-      directoryPath = optionsOrLegacyDirectoryPath;
-      options = {
-        apiUrl: directoryPathOrLegacyApiUrl,
-        recursive: legacyOptionRecursive,
-        unknown: legacyOptionUnknown,
-      };
-    } else {
-      directoryPath = directoryPathOrLegacyApiUrl;
-      options = optionsOrLegacyDirectoryPath;
-    }
-    const loader = (p: string) => new UnstructuredLoader(p, options);
-    const loaders = UNSTRUCTURED_API_FILETYPES.reduce(
-      (loadersObject: LoadersMapping, filetype: string) => {
-        // eslint-disable-next-line no-param-reassign
-        loadersObject[filetype] = loader;
-        return loadersObject;
-      },
-      {}
-    );
-    super(directoryPath, loaders, options.recursive, options.unknown);
-  }
-}
-
-export { UnknownHandling };
diff --git a/langchain/src/document_loaders/tests/assemblyai.int.test.ts b/langchain/src/document_loaders/tests/assemblyai.int.test.ts
deleted file mode 100644
index ccca712c9335..000000000000
--- a/langchain/src/document_loaders/tests/assemblyai.int.test.ts
+++ /dev/null
@@ -1,153 +0,0 @@
-/* eslint-disable @typescript-eslint/no-non-null-assertion */
-/* eslint-disable no-process-env */
-import { expect, test } from "@jest/globals";
-import {
-  AudioSubtitleLoader,
-  AudioTranscriptLoader,
-  AudioTranscriptParagraphsLoader,
-  AudioTranscriptSentencesLoader,
-} from "../web/assemblyai.js";
-
-const transcriptId = process.env.ASSEMBLYAI_TRANSCRIPT_ID!;
-
-describe.skip("AssemblyAI", () => {
-  test("Invalid API key", async () => {
-    const loader = new AudioTranscriptLoader(
-      {
-        audio: "https://storage.googleapis.com/aai-docs-samples/nbc.mp3",
-      },
-      { apiKey: "invalid" }
-    );
-
-    await expect(loader.load()).rejects.toThrow(
-      "Authentication error, API token missing/invalid"
-    );
-  });
-
-  test("Create and retrieve transcript", async () => {
-    const loader = new AudioTranscriptLoader({
-      audio: "https://storage.googleapis.com/aai-docs-samples/nbc.mp3",
-    });
-    const docs = await loader.load();
-
-    expect(docs).toHaveLength(1);
-    expect(docs[0].pageContent).not.toBeFalsy();
-    expect(docs[0].metadata).not.toBeFalsy();
-  });
-
-  test("Create and retrieve transcript (deprecated)", async () => {
-    const loader = new AudioTranscriptLoader({
-      audio_url: "https://storage.googleapis.com/aai-docs-samples/nbc.mp3",
-    });
-    const docs = await loader.load();
-
-    expect(docs).toHaveLength(1);
-    expect(docs[0].pageContent).not.toBeFalsy();
-    expect(docs[0].metadata).not.toBeFalsy();
-  });
-
-  test("Retrieve transcript by ID", async () => {
-    const loader = new AudioTranscriptLoader(transcriptId);
-    const docs = await loader.load();
-
-    expect(docs).toHaveLength(1);
-    expect(docs[0].pageContent).not.toBeFalsy();
-    expect(docs[0].metadata).not.toBeFalsy();
-  });
-
-  test("Create and retrieve paragraphs", async () => {
-    const loader = new AudioTranscriptParagraphsLoader({
-      audio: "https://storage.googleapis.com/aai-docs-samples/nbc.mp3",
-    });
-    const docs = await loader.load();
-
-    expect(docs.length).toBeGreaterThan(1);
-    expect(docs[0].pageContent).not.toBeFalsy();
-    expect(docs[0].metadata).not.toBeFalsy();
-  });
-
-  test("Create and retrieve paragraphs (deprecated)", async () => {
-    const loader = new AudioTranscriptParagraphsLoader({
-      audio_url: "https://storage.googleapis.com/aai-docs-samples/nbc.mp3",
-    });
-    const docs = await loader.load();
-
-    expect(docs.length).toBeGreaterThan(1);
-    expect(docs[0].pageContent).not.toBeFalsy();
-    expect(docs[0].metadata).not.toBeFalsy();
-  });
-
-  test("Retrieve paragraphs by ID", async () => {
-    const loader = new AudioTranscriptParagraphsLoader(transcriptId);
-    const docs = await loader.load();
-
-    expect(docs.length).toBeGreaterThan(1);
-    expect(docs[0].pageContent).not.toBeFalsy();
-    expect(docs[0].metadata).not.toBeFalsy();
-  });
-
-  test("Create and retrieve sentences", async () => {
-    const loader = new AudioTranscriptSentencesLoader({
-      audio: "https://storage.googleapis.com/aai-docs-samples/nbc.mp3",
-    });
-    const docs = await loader.load();
-
-    expect(docs.length).toBeGreaterThan(1);
-    expect(docs[0].pageContent).not.toBeFalsy();
-    expect(docs[0].metadata).not.toBeFalsy();
-  });
-
-  test("Create and retrieve sentences (deprecated)", async () => {
-    const loader = new AudioTranscriptSentencesLoader({
-      audio_url: "https://storage.googleapis.com/aai-docs-samples/nbc.mp3",
-    });
-    const docs = await loader.load();
-
-    expect(docs.length).toBeGreaterThan(1);
-    expect(docs[0].pageContent).not.toBeFalsy();
-    expect(docs[0].metadata).not.toBeFalsy();
-  });
-
-  test("Retrieve sentences by ID", async () => {
-    const loader = new AudioTranscriptSentencesLoader(transcriptId);
-    const docs = await loader.load();
-
-    expect(docs.length).toBeGreaterThan(1);
-    expect(docs[0].pageContent).not.toBeFalsy();
-    expect(docs[0].metadata).not.toBeFalsy();
-  });
-
-  test("Create and retrieve subtitles", async () => {
-    const loader = new AudioSubtitleLoader(
-      {
-        audio: "https://storage.googleapis.com/aai-docs-samples/nbc.mp3",
-      },
-      "srt"
-    );
-    const docs = await loader.load();
-
-    expect(docs).toHaveLength(1);
-    expect(docs[0].pageContent).not.toBeFalsy();
-  });
-
-  test("Create and retrieve subtitles (deprecated)", async () => {
-    const loader = new AudioSubtitleLoader(
-      {
-        audio_url: "https://storage.googleapis.com/aai-docs-samples/nbc.mp3",
-      },
-      "srt"
-    );
-    const docs = await loader.load();
-
-    expect(docs).toHaveLength(1);
-    expect(docs[0].pageContent).not.toBeFalsy();
-  });
-
-  test("Retrieve subtitles by ID", async () => {
-    const loader = new AudioSubtitleLoader(transcriptId, "srt");
-    const docs = await loader.load();
-
-    expect(docs).toHaveLength(1);
-    expect(docs[0].pageContent).not.toBeFalsy();
-  });
-});
diff --git a/langchain/src/document_loaders/tests/chatgpt-blob.test.ts b/langchain/src/document_loaders/tests/chatgpt-blob.test.ts
deleted file mode 100644
index a1e153d8047a..000000000000
--- a/langchain/src/document_loaders/tests/chatgpt-blob.test.ts
+++ /dev/null
@@ -1,52 +0,0 @@
-import * as url from "node:url";
-import * as path from "node:path";
-import * as fs from "node:fs/promises";
-import { test, expect } from "@jest/globals";
-import { Document } from "@langchain/core/documents";
-import { ChatGPTLoader } from "../fs/chatgpt.js";
-
-test("Test ChatGPT loader from blob to load all documents", async () => {
-  const filePath = path.resolve(
-    path.dirname(url.fileURLToPath(import.meta.url)),
-    "./example_data/chatgpt/example_conversations.json"
-  );
-  const loader = new ChatGPTLoader(
-    new Blob([await fs.readFile(filePath)], { type: "application/json" })
-  );
-  const docs = await loader.load();
-  expect(docs.length).toBe(2);
-  expect(docs[0]).toEqual(
-    new Document({
-      metadata: { source: "blob", blobType: "application/json", logIndex: 1 },
-      pageContent:
-        "Example Usage - user on 2023-10-16 23:40:17: Hello, what is your name?\n\nExample Usage - assistant on 2023-10-16 23:40:23: Hello! I'm just a computer program created by OpenAI, so I don't have a personal name. You can call me ChatGPT or simply ask me any questions or chat about topics you're interested in. How can I assist you today?\n\n",
-    })
-  );
-  expect(docs[1]).toEqual(
-    new Document({
-      metadata: { source: "blob", blobType: "application/json", logIndex: 2 },
-      pageContent:
-        "Example Usage 2 - user on 2023-10-13 23:02:19: What should I do today?\n\nExample Usage 2 - assistant on 2023-10-13 23:02:27: You should contribute to LangChain!\n\nExample Usage 2 - user on 2023-10-13 23:03:30: How can I start?\n\nExample Usage 2 - assistant on 2023-10-13 23:03:38: You can take a look at the current LangChain issues and see if you can contribute to any! Don't forget to read the contributing.md file.\n\nExample Usage 2 - user on 2023-10-13 23:09:24: Thank you!\n\nExample Usage 2 - assistant on 2023-10-13 23:09:34: You're welcome! If you have any more questions or need further assistance in the future, feel free to reach out.\n\n",
-    })
-  );
-});
-
-test("Test ChatGPT loader from blob to only load 1 document", async () => {
-  const filePath = path.resolve(
-    path.dirname(url.fileURLToPath(import.meta.url)),
-    "./example_data/chatgpt/example_conversations.json"
-  );
-  const loader = new ChatGPTLoader(
-    new Blob([await fs.readFile(filePath)], { type: "application/json" }),
-    1
-  );
-  const docs = await loader.load();
-  expect(docs.length).toBe(1);
-  expect(docs[0]).toEqual(
-    new Document({
-      metadata: { source: "blob", blobType: "application/json", logIndex: 1 },
-      pageContent:
-        "Example Usage - user on 2023-10-16 23:40:17: Hello, what is your name?\n\nExample Usage - assistant on 2023-10-16 23:40:23: Hello! I'm just a computer program created by OpenAI, so I don't have a personal name. You can call me ChatGPT or simply ask me any questions or chat about topics you're interested in. How can I assist you today?\n\n",
-    })
-  );
-});
diff --git a/langchain/src/document_loaders/tests/chatgpt.test.ts b/langchain/src/document_loaders/tests/chatgpt.test.ts
deleted file mode 100644
index b009a659fdeb..000000000000
--- a/langchain/src/document_loaders/tests/chatgpt.test.ts
+++ /dev/null
@@ -1,46 +0,0 @@
-import * as url from "node:url";
-import * as path from "node:path";
-import { test, expect } from "@jest/globals";
-import { Document } from "@langchain/core/documents";
-import { ChatGPTLoader } from "../fs/chatgpt.js";
-
-test("Test ChatGPT loader to load all documents", async () => {
-  const filePath = path.resolve(
-    path.dirname(url.fileURLToPath(import.meta.url)),
-    "./example_data/chatgpt/example_conversations.json"
-  );
-  const loader = new ChatGPTLoader(filePath);
-  const docs = await loader.load();
-  expect(docs.length).toBe(2);
-  expect(docs[0]).toEqual(
-    new Document({
-      metadata: { source: filePath, logIndex: 1 },
-      pageContent:
-        "Example Usage - user on 2023-10-16 23:40:17: Hello, what is your name?\n\nExample Usage - assistant on 2023-10-16 23:40:23: Hello! I'm just a computer program created by OpenAI, so I don't have a personal name. You can call me ChatGPT or simply ask me any questions or chat about topics you're interested in. How can I assist you today?\n\n",
-    })
-  );
-  expect(docs[1]).toEqual(
-    new Document({
-      metadata: { source: filePath, logIndex: 2 },
-      pageContent:
-        "Example Usage 2 - user on 2023-10-13 23:02:19: What should I do today?\n\nExample Usage 2 - assistant on 2023-10-13 23:02:27: You should contribute to LangChain!\n\nExample Usage 2 - user on 2023-10-13 23:03:30: How can I start?\n\nExample Usage 2 - assistant on 2023-10-13 23:03:38: You can take a look at the current LangChain issues and see if you can contribute to any! Don't forget to read the contributing.md file.\n\nExample Usage 2 - user on 2023-10-13 23:09:24: Thank you!\n\nExample Usage 2 - assistant on 2023-10-13 23:09:34: You're welcome! If you have any more questions or need further assistance in the future, feel free to reach out.\n\n",
-    })
-  );
-});
-
-test("Test ChatGPT loader to only load 1 document", async () => {
-  const filePath = path.resolve(
-    path.dirname(url.fileURLToPath(import.meta.url)),
-    "./example_data/chatgpt/example_conversations.json"
-  );
-  const loader = new ChatGPTLoader(filePath, 1);
-  const docs = await loader.load();
-  expect(docs.length).toBe(1);
-  expect(docs[0]).toEqual(
-    new Document({
-      metadata: { source: filePath, logIndex: 1 },
-      pageContent:
-        "Example Usage - user on 2023-10-16 23:40:17: Hello, what is your name?\n\nExample Usage - assistant on 2023-10-16 23:40:23: Hello! I'm just a computer program created by OpenAI, so I don't have a personal name. You can call me ChatGPT or simply ask me any questions or chat about topics you're interested in. How can I assist you today?\n\n",
-    })
-  );
-});
diff --git a/langchain/src/document_loaders/tests/cheerio.int.test.ts b/langchain/src/document_loaders/tests/cheerio.int.test.ts
deleted file mode 100644
index c10a2223cf39..000000000000
--- a/langchain/src/document_loaders/tests/cheerio.int.test.ts
+++ /dev/null
@@ -1,33 +0,0 @@
-import { expect, test } from "@jest/globals";
-import { CheerioWebBaseLoader } from "../web/cheerio.js";
-
-test("Test cheerio web scraper loader", async () => {
-  const loader = new CheerioWebBaseLoader(
-    "https://news.ycombinator.com/item?id=34817881"
-  );
-  await loader.load();
-});
-
-test("Test cheerio web scraper loader with selector", async () => {
-  const selectH1 = "h1";
-  const loader = new CheerioWebBaseLoader("https://about.google/commitments/", {
-    selector: selectH1,
-  });
-
-  const doc = await loader.load();
-  expect(doc[0].pageContent.trim()).toBe(
-    "Committed to significantly improving the lives of as many people as possible."
-  );
-});
-
-test("Test cheerio web scraper loader with textDecoder", async () => {
-  const loader = new CheerioWebBaseLoader(
-    "https://corp.163.com/gb/about/management.html",
-    {
-      textDecoder: new TextDecoder("gbk"),
-    }
-  );
-
-  const doc = await loader.load();
-  expect(doc[0].pageContent.trim()).toEqual(expect.stringContaining("网易"));
-});
diff --git a/langchain/src/document_loaders/tests/college_confidential.int.test.ts b/langchain/src/document_loaders/tests/college_confidential.int.test.ts
deleted file mode 100644
index db4cbf67479f..000000000000
--- a/langchain/src/document_loaders/tests/college_confidential.int.test.ts
+++ /dev/null
@@ -1,9 +0,0 @@
-import { test } from "@jest/globals";
-import { CollegeConfidentialLoader } from "../web/college_confidential.js";
-
-test("Test College confidential loader", async () => {
-  const loader = new CollegeConfidentialLoader(
-    "https://www.collegeconfidential.com/colleges/brown-university/"
-  );
-  await loader.load();
-});
diff --git a/langchain/src/document_loaders/tests/confluence.test.ts b/langchain/src/document_loaders/tests/confluence.test.ts
deleted file mode 100644
index 877993fd8c5e..000000000000
--- a/langchain/src/document_loaders/tests/confluence.test.ts
+++ /dev/null
@@ -1,85 +0,0 @@
-import { test, jest, expect } from "@jest/globals";
-import {
-  ConfluencePagesLoader,
-  ConfluenceAPIResponse,
-} from "../web/confluence.js";
-
-type TestConfluencePagesLoaderType = ConfluencePagesLoader & {
-  fetchConfluenceData: (url: string) => Promise<ConfluenceAPIResponse>;
-};
-
-test("Test ConfluenceLoader and fetchConfluenceData calls", async () => {
-  // Stub the fetchConfluenceData method to return a fake response
-  // As the Confluence API requires authentication
-  const fakeResponse = [
-    {
-      id: "1",
-      title: "Page 1",
-      body: { storage: { value: "<p>Content of Page 1</p>" } },
-    },
-    {
-      id: "2",
-      title: "Page 2",
-      body: { storage: { value: "<p>Content of Page 2</p>" } },
-    },
-  ];
-
-  // Initialize the loader and load the documents
-  const loader = new ConfluencePagesLoader({
-    baseUrl: "https://example.atlassian.net/wiki",
-    spaceKey: "SPACEKEY",
-    username: "username@email.com",
-    accessToken: "accessToken",
-  }) as TestConfluencePagesLoaderType;
-
-  // Our fetchConfluenceData function is called recursively
-  // until the size of the response is 0
-  const fetchConfluenceDataMock = jest
-    .spyOn(loader, "fetchConfluenceData")
-    .mockImplementationOnce(
-      () =>
-        // eslint-disable-next-line @typescript-eslint/no-explicit-any
-        Promise.resolve({ size: 2, results: fakeResponse }) as any
-    )
-    .mockImplementationOnce(
-      () =>
-        // eslint-disable-next-line @typescript-eslint/no-explicit-any
-        Promise.resolve({ size: 2, results: fakeResponse }) as any
-    )
-    .mockImplementationOnce(() => Promise.resolve({ size: 0, results: [] }));
-
-  const documents = await loader.load();
-
-  // Validate the test results
-  expect(documents.length).toBe(4);
-  expect(documents[0].metadata.title).toBeDefined();
-  expect(documents[0].metadata.url).toBeDefined();
-
-  // Ensure fetchConfluenceData is called three times
-  expect(fetchConfluenceDataMock).toHaveBeenCalledTimes(3);
-
-  // Ensure the arguments are correct for each call
-  expect(fetchConfluenceDataMock).toHaveBeenNthCalledWith(
-    1,
-    "https://example.atlassian.net/wiki/rest/api/content?spaceKey=SPACEKEY&limit=25&start=0&expand=body.storage,version"
-  );
-  expect(fetchConfluenceDataMock).toHaveBeenNthCalledWith(
-    2,
-    "https://example.atlassian.net/wiki/rest/api/content?spaceKey=SPACEKEY&limit=25&start=2&expand=body.storage,version"
-  );
-  expect(fetchConfluenceDataMock).toHaveBeenNthCalledWith(
-    3,
-    "https://example.atlassian.net/wiki/rest/api/content?spaceKey=SPACEKEY&limit=25&start=4&expand=body.storage,version"
-  );
-
-  // Check if the generated URLs in the metadata are correct
-  expect(documents[0].metadata.url).toBe(
-    "https://example.atlassian.net/wiki/spaces/SPACEKEY/pages/1"
-  );
-  expect(documents[1].metadata.url).toBe(
-    "https://example.atlassian.net/wiki/spaces/SPACEKEY/pages/2"
-  );
-
-  // Restore the mock to its original behavior
-  fetchConfluenceDataMock.mockRestore();
-});
diff --git a/langchain/src/document_loaders/tests/couchbase.int.test.ts b/langchain/src/document_loaders/tests/couchbase.int.test.ts
deleted file mode 100644
index 7147955df9a5..000000000000
--- a/langchain/src/document_loaders/tests/couchbase.int.test.ts
+++ /dev/null
@@ -1,36 +0,0 @@
-import { test, expect } from "@jest/globals";
-import { Cluster } from "couchbase";
-import { CouchbaseDocumentLoader } from "../web/couchbase.js";
-
-test("Test Couchbase Cluster connection ", async () => {
-  const connectionString = "<enter-valid-couchbase-connection-string>";
-  const databaseUsername = "<enter-valid-couchbase-user>";
-  const databasePassword = "<enter-valid-couchbase-password>";
-  const query = `
-    SELECT h.* FROM \`travel-sample\`.inventory.hotel h 
-    WHERE h.country = 'United States'
-    LIMIT 10
-  `;
-  const validPageContentFields = ["country", "name", "description"];
-  const validMetadataFields = ["id"];
-
-  const couchbaseClient = await Cluster.connect(connectionString, {
-    username: databaseUsername,
-    password: databasePassword,
-    configProfile: "wanDevelopment",
-  });
-  const loader = new CouchbaseDocumentLoader(
-    couchbaseClient,
-    query,
-    validPageContentFields,
-    validMetadataFields
-  );
-  const docs = await loader.load();
-  expect(docs.length).toBeGreaterThan(0);
-
-  for (const doc of docs) {
-    expect(doc.pageContent).not.toBe(""); // Assuming valid page content fields
-    expect(doc.metadata).toHaveProperty("id"); // Assuming metadata has id field
-    expect(doc.metadata.id).not.toBe("");
-  }
-});
diff --git a/langchain/src/document_loaders/tests/csv-blob.test.ts b/langchain/src/document_loaders/tests/csv-blob.test.ts
deleted file mode 100644
index 9e7b9adbb839..000000000000
--- a/langchain/src/document_loaders/tests/csv-blob.test.ts
+++ /dev/null
@@ -1,71 +0,0 @@
-import * as url from "node:url";
-import * as path from "node:path";
-import * as fs from "node:fs/promises";
-import { test, expect } from "@jest/globals";
-import { Document } from "@langchain/core/documents";
-import { CSVLoader } from "../fs/csv.js";
-
-test("Test CSV loader from blob", async () => {
-  const filePath = path.resolve(
-    path.dirname(url.fileURLToPath(import.meta.url)),
-    "./example_data/Star_Wars_The_Clone_Wars_S06E07_Crisis_at_the_Heart.csv"
-  );
-  const loader = new CSVLoader(
-    new Blob([await fs.readFile(filePath)], { type: "text/csv" }),
-    "html"
-  );
-  const docs = await loader.load();
-  expect(docs.length).toBe(32);
-  expect(docs[0]).toEqual(
-    new Document({
-      metadata: { source: "blob", blobType: "text/csv", line: 1 },
-      pageContent:
-        "<i>Corruption discovered at the core of the Banking Clan!</i>",
-    })
-  );
-  expect(docs[1]).toEqual(
-    new Document({
-      metadata: { source: "blob", blobType: "text/csv", line: 2 },
-      pageContent: "<i>Reunited, Rush Clovis and Senator Amidala</i>",
-    })
-  );
-});
-
-test("Test CSV loader from blob", async () => {
-  const loader = new CSVLoader(
-    new Blob(
-      [
-        `id,text
-1,This is a sentence.
-2,This is another sentence.`,
-      ],
-      { type: "text/csv" }
-    )
-  );
-  const docs = await loader.load();
-  expect(docs.length).toBe(2);
-  expect(docs[0]).toMatchInlineSnapshot(`
-    Document {
-      "id": undefined,
-      "metadata": {
-        "blobType": "text/csv",
-        "line": 1,
-        "source": "blob",
-      },
-      "pageContent": "id: 1
-    text: This is a sentence.",
-    }
-  `);
-  expect(docs[1]).toMatchInlineSnapshot(`
-    Document {
-      "id": undefined,
-      "metadata": {
-        "blobType": "text/csv",
-        "line": 2,
-        "source": "blob",
-      },
-      "pageContent": "id: 2
-    text: This is another sentence.",
-    }
-  `);
-});
diff --git a/langchain/src/document_loaders/tests/csv.test.ts b/langchain/src/document_loaders/tests/csv.test.ts
deleted file mode 100644
index 9c59f927f476..000000000000
--- a/langchain/src/document_loaders/tests/csv.test.ts
+++ /dev/null
@@ -1,63 +0,0 @@
-import * as url from "node:url";
-import * as path from "node:path";
-import { test, expect } from "@jest/globals";
-import { Document } from "@langchain/core/documents";
-import { CSVLoader } from "../fs/csv.js";
-
-test("Test CSV loader from file with column arg", async () => {
-  const filePath = path.resolve(
-    path.dirname(url.fileURLToPath(import.meta.url)),
-    "./example_data/Star_Wars_The_Clone_Wars_S06E07_Crisis_at_the_Heart.csv"
-  );
-  const loader = new CSVLoader(filePath, "html");
-  const docs = await loader.load();
-  expect(docs.length).toBe(32);
-  expect(docs[0]).toEqual(
-    new Document({
-      metadata: { source: filePath, line: 1 },
-      pageContent:
-        "<i>Corruption discovered at the core of the Banking Clan!</i>",
-    })
-  );
-  expect(docs[1]).toEqual(
-    new Document({
-      metadata: { source: filePath, line: 2 },
-      pageContent: "<i>Reunited, Rush Clovis and Senator Amidala</i>",
-    })
-  );
-});
-
-test("Test CSV loader without column arg", async () => {
-  const filePath = path.resolve(
-    path.dirname(url.fileURLToPath(import.meta.url)),
-    "./example_data/Star_Wars_The_Clone_Wars_S06E07_Crisis_at_the_Heart.csv"
-  );
-  const loader = new CSVLoader(filePath);
-  const docs = await loader.load();
-  expect(docs.length).toBe(32);
-  expect(docs[0]).toEqual(
-    new Document({
-      metadata: { source: filePath, line: 1 },
-      pageContent: `id: 1
-html: <i>Corruption discovered at the core of the Banking Clan!</i>`,
-    })
-  );
-});
-
-test("Test CSV loader from file with separator arg", async () => {
-  const filePath = path.resolve(
-    path.dirname(url.fileURLToPath(import.meta.url)),
-    "./example_data/example_separator.csv"
-  );
-  const loader = new CSVLoader(filePath, { separator: "｜" });
-  const docs = await loader.load();
-
-  expect(docs.length).toBe(32);
-  expect(docs[0]).toEqual(
-    new Document({
-      metadata: { source: filePath, line: 1 },
-      pageContent: `id: 1
-html: <i>Corruption discovered at the core of the Banking Clan!</i>`,
-    })
-  );
-});
diff --git a/langchain/src/document_loaders/tests/directory.test.ts b/langchain/src/document_loaders/tests/directory.test.ts
index 3474d5e7cb0c..276c218fb09b 100644
--- a/langchain/src/document_loaders/tests/directory.test.ts
+++ b/langchain/src/document_loaders/tests/directory.test.ts
@@ -2,8 +2,6 @@ import * as url from "node:url";
 import * as path from "node:path";
 import { test, expect } from "@jest/globals";
 import { DirectoryLoader, UnknownHandling } from "../fs/directory.js";
-import { CSVLoader } from "../fs/csv.js";
-import { PDFLoader } from "../fs/pdf.js";
 import { TextLoader } from "../fs/text.js";
 import { JSONLoader } from "../fs/json.js";
 
@@ -15,13 +13,6 @@ test("Test Directory loader", async () => {
   const loader = new DirectoryLoader(
     directoryPath,
     {
-      ".csv": (p) => {
-        if (p.includes("separator.csv")) {
-          return new CSVLoader(p, { column: "html", separator: "｜" });
-        }
-        return new CSVLoader(p, "html");
-      },
-      ".pdf": (p) => new PDFLoader(p),
       ".txt": (p) => new TextLoader(p),
       ".json": (p) => new JSONLoader(p),
     },
@@ -29,20 +20,8 @@ test("Test Directory loader", async () => {
     UnknownHandling.Ignore
   );
   const docs = await loader.load();
-  expect(docs.length).toBe(123);
+  expect(docs.length).toBe(43);
   expect(docs.map((d) => d.metadata.source).sort()).toEqual([
-    // PDF
-    ...Array.from({ length: 15 }, (_) =>
-      path.resolve(directoryPath, "1706.03762.pdf")
-    ),
-    path.resolve(directoryPath, "Jacob_Lee_Resume_2023.pdf"),
-    // CSV
-    ...Array.from({ length: 32 }, (_) =>
-      path.resolve(
-        directoryPath,
-        "Star_Wars_The_Clone_Wars_S06E07_Crisis_at_the_Heart.csv"
-      )
-    ),
     // JSON
     ...Array.from({ length: 32 }, (_) =>
       path.resolve(
@@ -55,9 +34,5 @@ test("Test Directory loader", async () => {
     ),
     // TXT
     path.resolve(directoryPath, "example.txt"),
-    // CSV
-    ...Array.from({ length: 32 }, (_) =>
-      path.resolve(directoryPath, "example_separator.csv")
-    ),
   ]);
 });
diff --git a/langchain/src/document_loaders/tests/docx.test.ts b/langchain/src/document_loaders/tests/docx.test.ts
deleted file mode 100644
index 63395bb51bc0..000000000000
--- a/langchain/src/document_loaders/tests/docx.test.ts
+++ /dev/null
@@ -1,16 +0,0 @@
-import { test, expect } from "@jest/globals";
-import * as url from "node:url";
-import * as path from "node:path";
-import { DocxLoader } from "../fs/docx.js";
-
-test("Test Word doc loader from file", async () => {
-  const filePath = path.resolve(
-    path.dirname(url.fileURLToPath(import.meta.url)),
-    "./example_data/attention.docx"
-  );
-  const loader = new DocxLoader(filePath);
-  const docs = await loader.load();
-
-  expect(docs.length).toBe(1); // not much text in the example
-  expect(docs[0].pageContent).toContain("an interesting activity");
-});
diff --git a/langchain/src/document_loaders/tests/epub.test.ts b/langchain/src/document_loaders/tests/epub.test.ts
deleted file mode 100644
index 01e81501a046..000000000000
--- a/langchain/src/document_loaders/tests/epub.test.ts
+++ /dev/null
@@ -1,28 +0,0 @@
-import { test, expect } from "@jest/globals";
-import * as url from "node:url";
-import * as path from "node:path";
-import { EPubLoader } from "../fs/epub.js";
-
-test("Test EPub loader from file", async () => {
-  const filePath = path.resolve(
-    path.dirname(url.fileURLToPath(import.meta.url)),
-    "./example_data/attention.epub"
-  );
-  const loader = new EPubLoader(filePath);
-  const docs = await loader.load();
-
-  expect(docs.length).toBe(3);
-  expect(docs[0].pageContent).toContain("Attention Is All You Need");
-});
-
-test("Test EPub loader from file to single document", async () => {
-  const filePath = path.resolve(
-    path.dirname(url.fileURLToPath(import.meta.url)),
-    "./example_data/attention.epub"
-  );
-  const loader = new EPubLoader(filePath, { splitChapters: false });
-  const docs = await loader.load();
-
-  expect(docs.length).toBe(1);
-  expect(docs[0].pageContent).toContain("Attention Is All You Need");
-});
diff --git a/langchain/src/document_loaders/tests/example_data/1706.03762.pdf b/langchain/src/document_loaders/tests/example_data/1706.03762.pdf
deleted file mode 100644
index 2b8c574f4756cde9ca83fa182f8b263ff57f9340..0000000000000000000000000000000000000000
GIT binary patch
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diff --git a/langchain/src/document_loaders/tests/example_data/Jacob_Lee_Resume_2023.pdf b/langchain/src/document_loaders/tests/example_data/Jacob_Lee_Resume_2023.pdf
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diff --git a/langchain/src/document_loaders/tests/example_data/Star_Wars_The_Clone_Wars_S06E07_Crisis_at_the_Heart.csv b/langchain/src/document_loaders/tests/example_data/Star_Wars_The_Clone_Wars_S06E07_Crisis_at_the_Heart.csv
deleted file mode 100644
index 727a1d956182..000000000000
--- a/langchain/src/document_loaders/tests/example_data/Star_Wars_The_Clone_Wars_S06E07_Crisis_at_the_Heart.csv
+++ /dev/null
@@ -1,33 +0,0 @@
-id,html
-1,"<i>Corruption discovered at the core of the Banking Clan!</i>"
-2,"<i>Reunited, Rush Clovis and Senator Amidala</i>"
-3,"<i>discover the full extent of the deception.</i>"
-4,"<i>Anakin Skywalker is sent to the rescue!</i>"
-5,"<i>He refuses to trust Clovis and asks Padm not to work with him.</i>"
-6,"<i>Determined to save the banks, she refuses her husband's request,</i>"
-7,"<i>throwing their relationship into turmoil.</i>"
-8,"<i>Voted for by both the Separatists and the Republic,</i>"
-9,"<i>Rush Clovis is elected new leader of the Galactic Banking Clan.</i>"
-10,"<i>Now, all attention is focused on Scipio</i>"
-11,"<i>as the important transfer of power begins.</i>"
-12,"Welcome back to Scipio, Rush Clovis."
-13,"Our Separatist government has great hopes for you."
-14,"Thank you, Senator."
-15,"Only you and Senator Amidala"
-16,"will be allowed to monitor the exchange proceedings."
-17,"No forces on either side"
-18,"will be allowed into the Neutral Zone."
-19,"Senator Amidala, we will be right here"
-20,"if you should need us."
-21,"Thank you, Commander."
-22,"It is with great disappointment"
-23,"that I implement the following verdict."
-24,"By decree of the Muun people,"
-25,"the five representatives standing before me"
-26,"are found guilty of embezzlement."
-27,"They shall be imprisoned forthwith,"
-28,"and control of the banks shall transfer immediately"
-29,"to Rush Clovis"
-30,"under the guidance of the Muun government."
-31,"We are grateful to you, Clovis,"
-32,"for everything you have done for the Muun people."
\ No newline at end of file
diff --git a/langchain/src/document_loaders/tests/example_data/Star_Wars_The_Clone_Wars_S06E07_Crisis_at_the_Heart.srt b/langchain/src/document_loaders/tests/example_data/Star_Wars_The_Clone_Wars_S06E07_Crisis_at_the_Heart.srt
deleted file mode 100644
index 4f8deb71ce32..000000000000
--- a/langchain/src/document_loaders/tests/example_data/Star_Wars_The_Clone_Wars_S06E07_Crisis_at_the_Heart.srt
+++ /dev/null
@@ -1,1385 +0,0 @@
-1
-00:00:17,580 --> 00:00:21,920
-<i>Corruption discovered
-at the core of the Banking Clan!</i>
-
-2
-00:00:21,950 --> 00:00:24,620
-<i>Reunited, Rush Clovis
-and Senator Amidala</i>
-
-3
-00:00:24,660 --> 00:00:27,830
-<i>discover the full extent
-of the deception.</i>
-
-4
-00:00:27,870 --> 00:00:30,960
-<i>Anakin Skywalker is sent to the rescue!</i>
-
-5
-00:00:31,000 --> 00:00:35,050
-<i>He refuses to trust Clovis and
-asks Padm not to work with him.</i>
-
-6
-00:00:35,090 --> 00:00:39,050
-<i>Determined to save the banks,
-she refuses her husband's request,</i>
-
-7
-00:00:39,090 --> 00:00:42,800
-<i>throwing their
-relationship into turmoil.</i>
-
-8
-00:00:42,840 --> 00:00:45,890
-<i>Voted for by both the
-Separatists and the Republic,</i>
-
-9
-00:00:45,930 --> 00:00:50,260
-<i>Rush Clovis is elected new leader
-of the Galactic Banking Clan.</i>
-
-10
-00:00:50,310 --> 00:00:53,320
-<i>Now, all attention is focused on Scipio</i>
-
-11
-00:00:53,350 --> 00:00:56,350
-<i>as the important
-transfer of power begins.</i>
-
-12
-00:01:20,410 --> 00:01:24,330
-Welcome back to Scipio, Rush Clovis.
-
-13
-00:01:24,370 --> 00:01:27,240
-Our Separatist government
-has great hopes for you.
-
-14
-00:01:27,290 --> 00:01:30,080
-Thank you, Senator.
-
-15
-00:01:30,120 --> 00:01:31,750
-Only you and Senator Amidala
-
-16
-00:01:31,790 --> 00:01:34,330
-will be allowed to monitor
-the exchange proceedings.
-
-17
-00:01:34,380 --> 00:01:36,050
-No forces on either side
-
-18
-00:01:36,080 --> 00:01:38,540
-will be allowed
-into the Neutral Zone.
-
-19
-00:01:38,590 --> 00:01:40,750
-Senator Amidala,
-we will be right here
-
-20
-00:01:40,800 --> 00:01:41,850
-if you should need us.
-
-21
-00:01:41,880 --> 00:01:43,210
-Thank you, Commander.
-
-22
-00:02:06,600 --> 00:02:09,190
-It is with great disappointment
-
-23
-00:02:09,230 --> 00:02:13,020
-that I implement
-the following verdict.
-
-24
-00:02:13,070 --> 00:02:15,490
-By decree of the Muun people,
-
-25
-00:02:15,530 --> 00:02:18,570
-the five representatives
-standing before me
-
-26
-00:02:18,610 --> 00:02:21,280
-are found guilty
-of embezzlement.
-
-27
-00:02:21,320 --> 00:02:24,450
-They shall be imprisoned
-forthwith,
-
-28
-00:02:24,490 --> 00:02:27,660
-and control of the banks
-shall transfer immediately
-
-29
-00:02:27,700 --> 00:02:29,580
-to Rush Clovis
-
-30
-00:02:29,620 --> 00:02:33,080
-under the guidance
-of the Muun government.
-
-31
-00:02:41,210 --> 00:02:43,250
-We are grateful to you, Clovis,
-
-32
-00:02:43,290 --> 00:02:46,630
-for everything you have done
-for the Muun people.
-
-33
-00:02:46,670 --> 00:02:48,340
-To have lost the banks
-
-34
-00:02:48,380 --> 00:02:51,010
-would have been
-an historic disaster.
-
-35
-00:02:51,050 --> 00:02:52,510
-I would like you to know
-
-36
-00:02:52,550 --> 00:02:54,840
-I have no interest
-in controlling the banks.
-
-37
-00:02:54,880 --> 00:02:57,930
-I am simply here
-to reestablish order.
-
-38
-00:03:01,890 --> 00:03:06,060
-Do you think our friend
-is up to the task?
-
-39
-00:03:06,100 --> 00:03:07,850
-There are few men
-I have met in my career
-
-40
-00:03:07,890 --> 00:03:10,680
-who are more dedicated
-to a cause than Clovis.
-
-41
-00:03:10,730 --> 00:03:12,850
-Once he decides
-what he is fighting for,
-
-42
-00:03:12,890 --> 00:03:15,360
-little will stop him
-from achieving it.
-
-43
-00:03:15,400 --> 00:03:17,520
-Let us hope you are right
-
-44
-00:03:17,570 --> 00:03:19,910
-for all our sakes.
-
-45
-00:03:39,330 --> 00:03:41,540
-Ah, Clovis.
-
-46
-00:03:41,580 --> 00:03:44,160
-How are you liking
-your new office?
-
-47
-00:03:44,210 --> 00:03:48,040
-I must say, you look very
-comfortable behind that desk.
-
-48
-00:03:48,080 --> 00:03:51,080
-Count Dooku,
-what do I owe the pleasure?
-
-49
-00:03:51,130 --> 00:03:53,420
-Come, come, my boy.
-
-50
-00:03:53,460 --> 00:03:55,920
-You don't think I'd let
-such an important day pass
-
-51
-00:03:55,960 --> 00:03:58,630
-without wishing you
-the best of luck.
-
-52
-00:03:58,680 --> 00:04:01,930
-Thank you, but luck
-has nothing to do with it.
-
-53
-00:04:01,970 --> 00:04:04,260
-The transfer has occurred
-without a hitch.
-
-54
-00:04:04,300 --> 00:04:06,010
-Well, of course it has.
-
-55
-00:04:06,050 --> 00:04:09,430
-The Separatists are fully
-behind your appointment.
-
-56
-00:04:09,470 --> 00:04:14,430
-After all, aren't we the ones
-who put you there?
-
-57
-00:04:14,480 --> 00:04:16,100
-For your support, I am grateful,
-
-58
-00:04:16,140 --> 00:04:17,480
-but I now must lead
-
-59
-00:04:17,520 --> 00:04:21,270
-without allegiance
-towards either side.
-
-60
-00:04:22,690 --> 00:04:24,570
-Is that so?
-
-61
-00:04:24,610 --> 00:04:28,030
-Quite the idealist you have become
-in so short a time.
-
-62
-00:04:28,070 --> 00:04:30,490
-What do you want, Dooku?
-
-63
-00:04:30,530 --> 00:04:32,700
-To collect on my investment.
-
-64
-00:04:32,740 --> 00:04:34,620
-How do you think the Republic
-would like to know
-
-65
-00:04:34,660 --> 00:04:37,250
-that it was I
-who supplied Rush Clovis
-
-66
-00:04:37,280 --> 00:04:38,950
-with all the information
-he needed
-
-67
-00:04:38,990 --> 00:04:41,030
-to topple the leaders of the bank?
-
-68
-00:04:41,080 --> 00:04:42,910
-I will tell them myself.
-
-69
-00:04:42,950 --> 00:04:44,700
-Oh, but you can't.
-
-70
-00:04:44,750 --> 00:04:46,800
-I put you in power.
-
-71
-00:04:46,830 --> 00:04:49,290
-You belong to me,
-
-72
-00:04:49,330 --> 00:04:51,120
-and if you want to stay in control,
-
-73
-00:04:51,170 --> 00:04:52,840
-you will do as I say.
-
-74
-00:04:52,880 --> 00:04:56,050
-The banks will remain unbiased.
-
-75
-00:04:56,090 --> 00:04:57,850
-Then I'm afraid the Separatists
-
-76
-00:04:57,880 --> 00:05:01,260
-will be unable to pay
-the interest on our loans.
-
-77
-00:05:01,300 --> 00:05:03,300
-But the banks will collapse,
-and then...
-
-78
-00:05:03,340 --> 00:05:06,840
-Not if you raise
-interest rates on the Republic.
-
-79
-00:05:06,880 --> 00:05:07,970
-What?
-
-80
-00:05:08,010 --> 00:05:09,880
-You know I can't do that.
-
-81
-00:05:09,930 --> 00:05:12,600
-Oh, but you can, and you will,
-
-82
-00:05:12,640 --> 00:05:15,430
-or everything that you
-fought so hard for
-
-83
-00:05:15,470 --> 00:05:17,350
-will be destroyed.
-
-84
-00:05:31,110 --> 00:05:33,860
-By the new order
-of the Traxus Division
-
-85
-00:05:33,900 --> 00:05:36,240
-and in an attempt
-to stabilize the banks,
-
-86
-00:05:36,280 --> 00:05:39,450
-it is essential that interest
-rates on loans to the Republic
-
-87
-00:05:39,490 --> 00:05:41,910
-be raised immediately.
-
-88
-00:05:41,950 --> 00:05:43,490
-What?
-
-89
-00:05:43,530 --> 00:05:44,950
-But you can't do that!
-
-90
-00:05:44,990 --> 00:05:46,700
-Clovis.
-
-91
-00:05:46,740 --> 00:05:47,910
-Clovis!
-
-92
-00:05:47,950 --> 00:05:49,950
-What are you doing?
-
-93
-00:06:03,960 --> 00:06:05,670
-This is an outrage!
-
-94
-00:06:05,710 --> 00:06:07,920
-We warned you this would happen!
-
-95
-00:06:07,960 --> 00:06:10,260
-And what of the Separatists?
-
-96
-00:06:10,300 --> 00:06:11,760
-From the little information.
-
-97
-00:06:11,800 --> 00:06:14,550
-Senator Amidala
-has been able to establish,
-
-98
-00:06:14,590 --> 00:06:18,430
-there will be no raise
-on their current loan.
-
-99
-00:06:18,470 --> 00:06:22,060
-I knew from the beginning
-that Clovis would do this.
-
-100
-00:06:28,980 --> 00:06:31,270
-Hmm, correct you might have been
-
-101
-00:06:31,310 --> 00:06:32,690
-about Clovis.
-
-102
-00:06:32,730 --> 00:06:34,150
-It's incredibly foolish
-
-103
-00:06:34,190 --> 00:06:36,360
-for to make a move like this
-so early.
-
-104
-00:06:36,400 --> 00:06:39,440
-He will turn the whole Republic
-against him.
-
-105
-00:06:39,480 --> 00:06:42,570
-Not clear to us
-are his objectives.
-
-106
-00:06:42,610 --> 00:06:44,820
-Want this he might.
-
-107
-00:06:44,860 --> 00:06:46,820
-Something's wrong.
-
-108
-00:06:46,860 --> 00:06:48,450
-This doesn't make sense.
-
-109
-00:06:48,490 --> 00:06:51,950
-I would like
-to call for restraint
-
-110
-00:06:51,990 --> 00:06:55,740
-and allow us time
-to analyze the situation.
-
-111
-00:07:12,630 --> 00:07:14,760
-You may begin your attack.
-
-112
-00:07:14,800 --> 00:07:17,420
-It is time to make Rush Clovis
-
-113
-00:07:17,470 --> 00:07:19,800
-look like a powerful Separatist.
-
-114
-00:07:19,840 --> 00:07:21,840
-Right away, sir.
-
-115
-00:07:28,390 --> 00:07:29,930
-It looks like
-an invasion fleet, sir.
-
-116
-00:07:29,970 --> 00:07:31,970
-We're caught out here
-in the open.
-
-117
-00:07:36,650 --> 00:07:39,740
-Get the men off this landing pad
-and beyond the city gates!
-
-118
-00:07:51,070 --> 00:07:53,450
-Senator Amidala,
-come in, please.
-
-119
-00:07:53,490 --> 00:07:55,280
-What is it, Commander Thorn?
-
-120
-00:07:55,320 --> 00:07:57,490
-We're under attack
-by the Separatist garrison.
-
-121
-00:07:57,530 --> 00:07:59,240
-Looks to be a full invasion.
-
-122
-00:07:59,280 --> 00:08:00,660
-Invasion?
-
-123
-00:08:00,700 --> 00:08:02,240
-We can't get to you.
-
-124
-00:08:02,290 --> 00:08:05,160
-I suggest you get to a ship
-as soon as you can.
-
-125
-00:08:09,250 --> 00:08:10,290
-Boom!
-
-126
-00:08:14,420 --> 00:08:15,670
-Ahh!
-
-127
-00:08:28,640 --> 00:08:29,760
-Let's move!
-
-128
-00:08:29,800 --> 00:08:31,050
-Hurry!
-
-129
-00:08:54,740 --> 00:08:55,740
-Ah!
-
-130
-00:08:59,360 --> 00:09:01,280
-For the Republic!
-
-131
-00:09:04,370 --> 00:09:05,620
-Ah!
-
-132
-00:09:34,300 --> 00:09:37,180
-Our garrison has been attacked
-by the Separatists,
-
-133
-00:09:37,220 --> 00:09:39,760
-and it appears they are staging
-an invasion of Scipio.
-
-134
-00:09:39,810 --> 00:09:41,220
-An invasion?
-
-135
-00:09:41,270 --> 00:09:43,190
-What do they hope to achieve?
-
-136
-00:09:43,230 --> 00:09:45,860
-With this news, the Senate
-will vote immediately
-
-137
-00:09:45,890 --> 00:09:47,230
-to attack Scipio.
-
-138
-00:09:47,270 --> 00:09:50,230
-It appears war has already
-come to Scipio.
-
-139
-00:09:50,270 --> 00:09:52,440
-I want you off that planet
-immediately.
-
-140
-00:09:52,480 --> 00:09:53,940
-I can't.
-
-141
-00:09:53,980 --> 00:09:56,270
-Surely you can get to a ship.
-
-142
-00:09:56,320 --> 00:09:59,570
-General Skywalker,
-I'm afraid I'm trapped.
-
-143
-00:10:03,240 --> 00:10:04,240
-Let me go!
-
-144
-00:10:05,700 --> 00:10:07,700
-Invoke an emergency meeting
-of the Senate.
-
-145
-00:10:07,740 --> 00:10:09,700
-There is no time to lose.
-
-146
-00:10:11,740 --> 00:10:13,240
-I feel it is only right
-
-147
-00:10:13,290 --> 00:10:15,990
-that you should handle
-this matter, my boy.
-
-148
-00:10:16,040 --> 00:10:18,200
-A lot will be entrusted to you.
-
-149
-00:10:26,420 --> 00:10:28,130
-Don't touch me!
-
-150
-00:10:29,880 --> 00:10:30,920
-What have you done to her?
-
-151
-00:10:32,170 --> 00:10:34,840
-Clovis, what is going on?
-
-152
-00:10:34,880 --> 00:10:36,880
-I didn't want this, Padm.
-
-153
-00:10:36,930 --> 00:10:39,090
-Why don't you tell her
-what you did want
-
-154
-00:10:39,140 --> 00:10:41,940
-and how you got it.
-
-155
-00:10:41,970 --> 00:10:43,260
-Dooku.
-
-156
-00:10:46,600 --> 00:10:48,720
-Padm, this is not what it seems.
-
-157
-00:10:48,770 --> 00:10:51,060
-Hasn't she joined our cause?
-
-158
-00:10:51,100 --> 00:10:54,140
-Clovis here told me
-how instrumental you were
-
-159
-00:10:54,190 --> 00:10:55,350
-in getting him to power.
-
-160
-00:10:55,400 --> 00:10:56,410
-If I had known...
-
-161
-00:10:56,440 --> 00:10:57,810
-Either you are with us
-
-162
-00:10:57,860 --> 00:10:59,530
-or you are against us.
-
-163
-00:10:59,570 --> 00:11:00,740
-Arrest her!
-
-164
-00:11:00,770 --> 00:11:02,440
-We can't do this, Dooku.
-
-165
-00:11:02,480 --> 00:11:05,110
-The Separatist Senate
-will never approve.
-
-166
-00:11:06,280 --> 00:11:07,280
-Hey!
-
-167
-00:11:11,990 --> 00:11:13,530
-No. No.
-
-168
-00:11:13,570 --> 00:11:14,620
-No!
-
-169
-00:11:16,580 --> 00:11:17,590
-No!
-
-170
-00:11:19,660 --> 00:11:20,830
-Are you insane?
-
-171
-00:11:20,870 --> 00:11:22,750
-This was not part of the deal.
-
-172
-00:11:22,790 --> 00:11:24,250
-What deal?
-
-173
-00:11:24,290 --> 00:11:26,250
-What have you done here, Clovis?
-
-174
-00:11:26,290 --> 00:11:28,250
-He's given us the banks.
-
-175
-00:11:28,290 --> 00:11:29,670
-Gone are our debts,
-
-176
-00:11:29,710 --> 00:11:33,500
-and gone is any credit
-for the Republic.
-
-177
-00:11:33,540 --> 00:11:37,130
-All of your idealism
-was just a front.
-
-178
-00:11:37,170 --> 00:11:39,050
-There was nothing I could do.
-
-179
-00:11:39,090 --> 00:11:42,880
-Everyone has their price,
-my dear.
-
-180
-00:11:49,890 --> 00:11:52,050
-It is with grave news
-
-181
-00:11:52,100 --> 00:11:54,100
-I come before you.
-
-182
-00:11:54,140 --> 00:11:57,350
-Count Dooku and his
-Separatist betrayers
-
-183
-00:11:57,390 --> 00:11:59,850
-have manipulated us, my friends.
-
-184
-00:11:59,890 --> 00:12:02,230
-The war must go to Scipio!
-
-185
-00:12:02,270 --> 00:12:04,900
-Clovis has been
-their puppet of deceit
-
-186
-00:12:04,940 --> 00:12:09,150
-as the Separatists are
-currently invading Scipio.
-
-187
-00:12:09,190 --> 00:12:11,990
-We must stop them
-and secure the planet!
-
-188
-00:12:12,030 --> 00:12:15,110
-We have handed
-the entire economic system
-
-189
-00:12:15,150 --> 00:12:17,030
-over to Count Dooku.
-
-190
-00:12:17,070 --> 00:12:18,700
-We are doomed!
-
-191
-00:12:18,740 --> 00:12:19,870
-Invade!
-
-192
-00:12:23,240 --> 00:12:26,450
-As Supreme Chancellor,
-I must abide
-
-193
-00:12:26,490 --> 00:12:28,910
-by the consensus of the Senate.
-
-194
-00:12:28,960 --> 00:12:32,170
-We shall commence
-a mercy mission to Scipio
-
-195
-00:12:32,210 --> 00:12:36,080
-to be led by
-General Anakin Skywalker.
-
-196
-00:12:36,130 --> 00:12:39,890
-The banks will be secured
-at all costs,
-
-197
-00:12:39,920 --> 00:12:43,170
-and the Republic
-will not crumble!
-
-198
-00:12:44,860 --> 00:12:45,856
-Victory!
-
-199
-00:12:45,880 --> 00:12:48,800
-We will take victory.
-
-200
-00:12:48,840 --> 00:12:50,760
-War on Scipio!
-
-201
-00:12:53,300 --> 00:12:55,600
-Great emotions
-you will find on Scipio,
-
-202
-00:12:55,640 --> 00:12:59,560
-will you not?
-
-203
-00:12:59,600 --> 00:13:02,310
-I am worried
-for Senator Amidala.
-
-204
-00:13:02,350 --> 00:13:03,890
-I'm afraid we may be too late.
-
-205
-00:13:03,940 --> 00:13:06,530
-Correct you were about Clovis,
-
-206
-00:13:06,560 --> 00:13:10,190
-but let go of your selfishness
-you must
-
-207
-00:13:10,230 --> 00:13:12,520
-if you are to see clearly.
-
-208
-00:13:12,570 --> 00:13:16,230
-Not all is as it seems.
-
-209
-00:13:16,280 --> 00:13:18,790
-I understand, Master.
-
-210
-00:13:45,460 --> 00:13:48,750
-Lord Tyranus, the Republic fleet
-
-211
-00:13:48,800 --> 00:13:51,300
-will be arriving shortly.
-
-212
-00:13:51,340 --> 00:13:52,970
-Very good, my lord.
-
-213
-00:13:53,010 --> 00:13:55,800
-Clovis has blindly
-played his part.
-
-214
-00:13:55,840 --> 00:13:57,970
-It now appears he coordinated
-
-215
-00:13:58,010 --> 00:14:00,970
-the entire Separatist takeover.
-
-216
-00:14:01,010 --> 00:14:03,510
-And because of this treachery,
-
-217
-00:14:03,560 --> 00:14:06,640
-the banks will be firmly placed
-
-218
-00:14:06,680 --> 00:14:11,140
-under the control
-of the Supreme Chancellor.
-
-219
-00:14:24,110 --> 00:14:26,440
-Why are you doing this?
-
-220
-00:14:26,490 --> 00:14:28,990
-You wouldn't understand.
-
-221
-00:14:29,030 --> 00:14:30,860
-I had to strike a deal
-with Dooku,
-
-222
-00:14:30,910 --> 00:14:31,860
-but don't worry.
-
-223
-00:14:31,910 --> 00:14:33,570
-I am the one in control.
-
-224
-00:14:33,620 --> 00:14:35,320
-As soon as things
-have settled down,
-
-225
-00:14:35,370 --> 00:14:38,240
-I can get rid of him,
-and I'll control it all again.
-
-226
-00:14:38,290 --> 00:14:39,450
-Listen to yourself.
-
-227
-00:14:39,500 --> 00:14:41,260
-The Republic is sending
-its armada
-
-228
-00:14:41,290 --> 00:14:43,040
-to take back the banks.
-
-229
-00:14:43,080 --> 00:14:46,710
-You've brought war
-right where there cannot be war.
-
-230
-00:14:46,750 --> 00:14:48,330
-Your actions
-have destroyed the banks
-
-231
-00:14:48,380 --> 00:14:50,220
-once and for all!
-
-232
-00:15:00,720 --> 00:15:03,680
-Rex, have you gotten a fix
-on Senator Amidala's position?
-
-233
-00:15:03,720 --> 00:15:06,390
-We'll have a better lock
-once we get near the city,
-
-234
-00:15:06,430 --> 00:15:09,010
-but initial scans suggest
-she's still alive, sir.
-
-235
-00:15:09,060 --> 00:15:10,560
-Good.
-
-236
-00:15:10,600 --> 00:15:12,100
-Hawk, we're gonna need
-air support
-
-237
-00:15:12,140 --> 00:15:13,220
-once we're on the ground.
-
-238
-00:15:13,270 --> 00:15:14,430
-You'll have it, General.
-
-239
-00:15:14,480 --> 00:15:16,560
-Me and the boys
-are ready to fly.
-
-240
-00:15:52,420 --> 00:15:53,670
-My Lord,
-
-241
-00:15:53,710 --> 00:15:56,040
-we have fully engaged
-Republic forces,
-
-242
-00:15:56,090 --> 00:15:58,550
-but we are suffering
-heavy losses.
-
-243
-00:15:58,590 --> 00:16:01,050
-We have accomplished
-what we came here for.
-
-244
-00:16:01,090 --> 00:16:02,960
-It is time to withdraw.
-
-245
-00:16:03,010 --> 00:16:06,090
-But sir, our forces
-are still engaged
-
-246
-00:16:06,130 --> 00:16:08,300
-in battle on the planet.
-
-247
-00:16:08,340 --> 00:16:09,680
-Leave them.
-
-248
-00:16:09,720 --> 00:16:12,090
-As you wish, Count Dooku.
-
-249
-00:16:29,110 --> 00:16:32,690
-Sir, a Republic attack fleet
-has just entered orbit
-
-250
-00:16:32,730 --> 00:16:34,110
-and is approaching the city.
-
-251
-00:16:36,070 --> 00:16:37,780
-Get me Count Dooku.
-
-252
-00:16:37,820 --> 00:16:41,200
-It appears Count Dooku
-has left the planet's surface.
-
-253
-00:16:41,240 --> 00:16:42,740
-What?
-
-254
-00:16:42,780 --> 00:16:45,700
-And the Separatist forces
-are in full retreat.
-
-255
-00:16:45,740 --> 00:16:47,740
-We are alone.
-
-256
-00:17:16,800 --> 00:17:19,180
-Rex, hold the droid forces here.
-
-257
-00:17:19,220 --> 00:17:20,930
-I'm gonna push on and get Padm.
-
-258
-00:17:20,970 --> 00:17:21,970
-Copy that.
-
-259
-00:17:34,520 --> 00:17:37,270
-Such plans I had.
-
-260
-00:17:37,320 --> 00:17:41,660
-You know, I've spent so much
-of my life misunderstood.
-
-261
-00:17:41,690 --> 00:17:43,860
-What will they say about me now?
-
-262
-00:17:43,900 --> 00:17:46,150
-What will I have left behind?
-
-263
-00:17:46,200 --> 00:17:49,200
-Clovis, you have to
-turn yourself in.
-
-264
-00:17:58,910 --> 00:18:00,620
-It's over, Clovis.
-
-265
-00:18:11,840 --> 00:18:13,300
-Stay away from me!
-
-266
-00:18:13,340 --> 00:18:14,920
-I didn't do anything wrong!
-
-267
-00:18:14,960 --> 00:18:16,630
-You have to believe me!
-
-268
-00:18:16,670 --> 00:18:19,010
-You don't want to do this.
-
-269
-00:18:19,050 --> 00:18:20,760
-You don't understand.
-
-270
-00:18:20,800 --> 00:18:22,300
-You've all been deceived.
-
-271
-00:18:22,340 --> 00:18:23,720
-Yeah, by you.
-
-272
-00:18:23,760 --> 00:18:24,890
-No!
-
-273
-00:18:24,930 --> 00:18:25,930
-By Dooku.
-
-274
-00:18:27,560 --> 00:18:29,070
-I'm not the villain here.
-
-275
-00:18:29,100 --> 00:18:31,310
-Tell him, Padm.
-
-276
-00:18:31,350 --> 00:18:32,640
-Let me go, Clovis.
-
-277
-00:19:12,710 --> 00:19:15,540
-I can't hold both of you.
-
-278
-00:19:16,960 --> 00:19:18,590
-Let me go.
-
-279
-00:19:18,630 --> 00:19:20,500
-No, Anakin, don't.
-
-280
-00:19:24,720 --> 00:19:26,260
-Try and climb.
-
-281
-00:19:28,720 --> 00:19:30,180
-I am!
-
-282
-00:19:30,220 --> 00:19:32,010
-I'm losing you!
-
-283
-00:19:33,010 --> 00:19:34,890
-I'm sorry, Padm.
-
-284
-00:19:36,640 --> 00:19:37,720
-No.
-
-285
-00:19:51,900 --> 00:19:53,190
-It's okay.
-
-286
-00:19:53,240 --> 00:19:54,410
-You're okay.
-
-287
-00:19:54,440 --> 00:19:56,530
-I'm sorry, Anakin.
-
-288
-00:19:56,570 --> 00:19:58,150
-I'm sorry.
-
-289
-00:19:58,200 --> 00:19:59,950
-It's over now.
-
-290
-00:19:59,990 --> 00:20:01,570
-It's all over now.
-
-291
-00:20:06,830 --> 00:20:09,200
-It is clear to the Banking Clan
-
-292
-00:20:09,250 --> 00:20:12,510
-it was Rush Clovis who was
-behind the corruption
-
-293
-00:20:12,540 --> 00:20:14,960
-that almost caused our collapse.
-
-294
-00:20:15,000 --> 00:20:17,120
-In hope of a better tomorrow,
-
-295
-00:20:17,170 --> 00:20:19,790
-we cede control of the banks
-
-296
-00:20:19,840 --> 00:20:23,810
-to the office of the Chancellor
-of the Galactic Republic.
-
-297
-00:20:26,800 --> 00:20:30,340
-It is with great humility
-
-298
-00:20:30,380 --> 00:20:34,680
-that I take on
-this immense responsibility.
-
-299
-00:20:34,720 --> 00:20:38,010
-Rest assured,
-when the Clone Wars end,
-
-300
-00:20:38,050 --> 00:20:40,060
-I shall reinstate the banks
-
-301
-00:20:40,100 --> 00:20:42,220
-as we once knew them,
-
-302
-00:20:42,270 --> 00:20:46,270
-but during these
-treacherous times,
-
-303
-00:20:46,310 --> 00:20:48,890
-we cannot in good conscience
-allow our money
-
-304
-00:20:48,940 --> 00:20:50,940
-to fall under the manipulations
-
-305
-00:20:50,980 --> 00:20:53,900
-of a madman like Count Dooku
-
-306
-00:20:53,940 --> 00:20:56,020
-or Separatist control again.
-
-307
-00:21:00,030 --> 00:21:04,240
-May there be prosperity
-and stability
-
-308
-00:21:04,280 --> 00:21:06,320
-in all our Republic lands.
-
-309
-00:21:06,360 --> 00:21:11,070
-May our people be free and safe.
-
-310
-00:21:11,120 --> 00:21:12,240
-Long live the banks!
-
-311
-00:21:13,660 --> 00:21:15,450
-<i>Long live the banks!</i>
-
-312
-00:21:15,500 --> 00:21:17,380
-<i>Long live the banks!</i>
-
-313
-00:21:17,410 --> 00:21:19,450
-<i>Long live the banks!</i>
-
-314
-00:21:19,500 --> 00:21:23,500
-<i>Long live the banks!
-Long live the banks!</i>
-
-315
-00:21:23,540 --> 00:21:25,330
-<i>Long live the banks!</i>
-
-316
-00:21:25,380 --> 00:21:29,130
-<i>Long live the banks!
-Long live the banks!</i>
-
diff --git a/langchain/src/document_loaders/tests/example_data/attention.docx b/langchain/src/document_loaders/tests/example_data/attention.docx
deleted file mode 100644
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diff --git a/langchain/src/document_loaders/tests/example_data/chatgpt/example_conversations.json b/langchain/src/document_loaders/tests/example_data/chatgpt/example_conversations.json
deleted file mode 100644
index 0caf083f6de7..000000000000
--- a/langchain/src/document_loaders/tests/example_data/chatgpt/example_conversations.json
+++ /dev/null
@@ -1,338 +0,0 @@
-[
-  {
-    "title": "Example Usage",
-    "create_time": 1697499617.697575,
-    "update_time": 1697499624.514186,
-    "mapping": {
-      "91c9fd24-0a12-41b8-b860-8f2cc237e838": {
-        "id": "91c9fd24-0a12-41b8-b860-8f2cc237e838",
-        "message": {
-          "id": "91c9fd24-0a12-41b8-b860-8f2cc237e838",
-          "author": {
-            "role": "system",
-            "name": null,
-            "metadata": {}
-          },
-          "create_time": null,
-          "update_time": null,
-          "content": {
-            "content_type": "text",
-            "parts": [""]
-          },
-          "status": "finished_successfully",
-          "end_turn": true,
-          "weight": 0.0,
-          "metadata": {},
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diff --git a/langchain/src/document_loaders/tests/example_data/emptyfile.pptx b/langchain/src/document_loaders/tests/example_data/emptyfile.pptx
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z{f&lLB)4IJcysGjb$#I-5|^ic3+}hlo6uXY|Lcp{kmQdBzsV4@+gmTA>+2MdgomaO
zpCaU{#m)Zhdi)#`(QI}N0r3^w-A`N(M?=y+oBw@E*MrkH<y;SeKmtN+p`dOFh{#L9
Xfp6iUpcui=MX(XT1~?E71@->`=iMq8

diff --git a/langchain/src/document_loaders/tests/example_data/example_separator.csv b/langchain/src/document_loaders/tests/example_data/example_separator.csv
deleted file mode 100644
index df01c3487022..000000000000
--- a/langchain/src/document_loaders/tests/example_data/example_separator.csv
+++ /dev/null
@@ -1,33 +0,0 @@
-id｜html
-1｜"<i>Corruption discovered at the core of the Banking Clan!</i>"
-2｜"<i>Reunited, Rush Clovis and Senator Amidala</i>"
-3｜"<i>discover the full extent of the deception.</i>"
-4｜"<i>Anakin Skywalker is sent to the rescue!</i>"
-5｜"<i>He refuses to trust Clovis and asks Padm not to work with him.</i>"
-6｜"<i>Determined to save the banks, she refuses her husband's request,</i>"
-7｜"<i>throwing their relationship into turmoil.</i>"
-8｜"<i>Voted for by both the Separatists and the Republic,</i>"
-9｜"<i>Rush Clovis is elected new leader of the Galactic Banking Clan.</i>"
-10｜"<i>Now, all attention is focused on Scipio</i>"
-11｜"<i>as the important transfer of power begins.</i>"
-12｜"Welcome back to Scipio, Rush Clovis."
-13｜"Our Separatist government has great hopes for you."
-14｜"Thank you, Senator."
-15｜"Only you and Senator Amidala"
-16｜"will be allowed to monitor the exchange proceedings."
-17｜"No forces on either side"
-18｜"will be allowed into the Neutral Zone."
-19｜"Senator Amidala, we will be right here"
-20｜"if you should need us."
-21｜"Thank you, Commander."
-22｜"It is with great disappointment"
-23｜"that I implement the following verdict."
-24｜"By decree of the Muun people,"
-25｜"the five representatives standing before me"
-26｜"are found guilty of embezzlement."
-27｜"They shall be imprisoned forthwith,"
-28｜"and control of the banks shall transfer immediately"
-29｜"to Rush Clovis"
-30｜"under the guidance of the Muun government."
-31｜"We are grateful to you, Clovis,"
-32｜"for everything you have done for the Muun people."
\ No newline at end of file
diff --git a/langchain/src/document_loaders/tests/example_data/github_api_responses.ts b/langchain/src/document_loaders/tests/example_data/github_api_responses.ts
deleted file mode 100644
index 443ca6ef9636..000000000000
--- a/langchain/src/document_loaders/tests/example_data/github_api_responses.ts
+++ /dev/null
@@ -1,93 +0,0 @@
-import { GithubFile } from "../../web/github.js";
-
-export const GithubLoaderApis = {
-  getRepoFiles: {
-    0: [
-      {
-        name: "foo.txt",
-        path: "foo.txt",
-        type: "file",
-        size: 50,
-        url: "https://githubfilecontent.com",
-        html_url: "",
-        sha: "",
-        git_url: "",
-        download_url: "",
-        _links: {
-          self: "",
-          git: "",
-          html: "",
-        },
-      },
-      {
-        name: "dir1",
-        path: "dir1",
-        type: "dir",
-        size: 50,
-        url: "https://githubfilecontent.com",
-        html_url: "",
-        sha: "",
-        git_url: "",
-        download_url: "",
-        _links: {
-          self: "",
-          git: "",
-          html: "",
-        },
-      },
-    ],
-    1: [
-      {
-        name: "dir1_1",
-        path: "dir1/dir1_1",
-        type: "dir",
-        size: 50,
-        url: "https://githubfilecontent.com",
-        html_url: "",
-        sha: "",
-        git_url: "",
-        download_url: "",
-        _links: {
-          self: "",
-          git: "",
-          html: "",
-        },
-      },
-    ],
-    2: [
-      {
-        name: "nested_file.txt",
-        path: "dir1/dir1_1/nested_file.txt",
-        type: "file",
-        size: 50,
-        url: "https://githubfilecontent.com",
-        html_url: "",
-        sha: "",
-        git_url: "",
-        download_url: "",
-        _links: {
-          self: "",
-          git: "",
-          html: "",
-        },
-      },
-      {
-        name: "EXAMPLE.md",
-        path: "dir1/dir1_1/EXAMPLE.md",
-        type: "file",
-        size: 50,
-        url: "https://githubfilecontent.com",
-        html_url: "",
-        sha: "",
-        git_url: "",
-        download_url: "",
-        _links: {
-          self: "",
-          git: "",
-          html: "",
-        },
-      },
-    ],
-  } as Record<string, GithubFile[]>,
-  getFileContents: "this is a file full of stuff",
-};
diff --git a/langchain/src/document_loaders/tests/example_data/notion/notion.md b/langchain/src/document_loaders/tests/example_data/notion/notion.md
deleted file mode 100644
index 0355119a4c0b..000000000000
--- a/langchain/src/document_loaders/tests/example_data/notion/notion.md
+++ /dev/null
@@ -1,41 +0,0 @@
-# Testing the notion markdownloader
-
-# 🦜️🔗 LangChain.js
-
-⚡ Building applications with LLMs through composability ⚡
-
-**Production Support:** As you move your LangChains into production, we'd love to offer more comprehensive support.
-Please fill out [this form](https://forms.gle/57d8AmXBYp8PP8tZA) and we'll set up a dedicated support Slack channel.
-
-## Quick Install
-
-`yarn add langchain`
-
-```typescript
-import { OpenAI } from "langchain/llms/openai";
-```
-
-## 🤔 What is this?
-
-Large language models (LLMs) are emerging as a transformative technology, enabling
-developers to build applications that they previously could not.
-But using these LLMs in isolation is often not enough to
-create a truly powerful app - the real power comes when you can combine them with other sources of computation or knowledge.
-
-This library is aimed at assisting in the development of those types of applications.
-
-## Relationship with Python LangChain
-
-This is built to integrate as seamlessly as possible with the [LangChain Python package](https://github.com/langchain-ai/langchain). Specifically, this means all objects (prompts, LLMs, chains, etc) are designed in a way where they can be serialized and shared between languages.
-
-The [LangChainHub](https://github.com/hwchase17/langchain-hub) is a central place for the serialized versions of these prompts, chains, and agents.
-
-## 📖 Documentation
-
-For full documentation of prompts, chains, agents and more, please see [here](https://js.langchain.com/v0.2/docs/introduction).
-
-## 💁 Contributing
-
-As an open source project in a rapidly developing field, we are extremely open to contributions, whether it be in the form of a new feature, improved infra, or better documentation.
-
-Check out [our contributing guidelines](CONTRIBUTING.md) for instructions on how to contribute.
diff --git a/langchain/src/document_loaders/tests/example_data/notion_api/notion_database_response.json b/langchain/src/document_loaders/tests/example_data/notion_api/notion_database_response.json
deleted file mode 100644
index 59ddf8cd13d3..000000000000
--- a/langchain/src/document_loaders/tests/example_data/notion_api/notion_database_response.json
+++ /dev/null
@@ -1,246 +0,0 @@
-{
-  "object": "database",
-  "id": "c393f19c-3903-440d-a0d3-4bf9c6c12ff2",
-  "cover": null,
-  "icon": null,
-  "created_time": "2023-06-14T10:29:00.000Z",
-  "created_by": {
-    "object": "user",
-    "id": "c9b34ba3-5b62-4aa9-aae2-ed6024ffb0fd"
-  },
-  "last_edited_by": {
-    "object": "user",
-    "id": "c9b34ba3-5b62-4aa9-aae2-ed6024ffb0fd"
-  },
-  "last_edited_time": "2023-09-27T09:07:00.000Z",
-  "title": [
-    {
-      "type": "text",
-      "text": { "content": "Example ", "link": null },
-      "annotations": {
-        "bold": false,
-        "italic": false,
-        "strikethrough": false,
-        "underline": false,
-        "code": false,
-        "color": "default"
-      },
-      "plain_text": "Example ",
-      "href": null
-    },
-    {
-      "type": "text",
-      "text": { "content": "Database", "link": null },
-      "annotations": {
-        "bold": true,
-        "italic": true,
-        "strikethrough": true,
-        "underline": false,
-        "code": false,
-        "color": "default"
-      },
-      "plain_text": "Database",
-      "href": null
-    }
-  ],
-  "description": [],
-  "is_inline": true,
-  "properties": {
-    "File": { "id": "%3DAK%3F", "name": "File", "type": "files", "files": {} },
-    "Number": {
-      "id": "%3FD%7CI",
-      "name": "Number",
-      "type": "number",
-      "number": { "format": "number" }
-    },
-    "Rollup": {
-      "id": "%3FROk",
-      "name": "Rollup",
-      "type": "rollup",
-      "rollup": {
-        "rollup_property_name": "Name",
-        "relation_property_name": "Related Example Database",
-        "rollup_property_id": "title",
-        "relation_property_id": "\\tQ[",
-        "function": "show_original"
-      }
-    },
-    "Status": {
-      "id": "%40mqJ",
-      "name": "Status",
-      "type": "status",
-      "status": {
-        "options": [
-          {
-            "id": "9f08647c-ad39-463d-ada7-18b0851806e1",
-            "name": "Not started",
-            "color": "default"
-          },
-          {
-            "id": "6d4f47e4-d554-485b-a3b5-38f41218502d",
-            "name": "In progress",
-            "color": "blue"
-          },
-          {
-            "id": "e07004b9-d05a-4ead-a752-fd46444d5b20",
-            "name": "Done",
-            "color": "green"
-          }
-        ],
-        "groups": [
-          {
-            "id": "6a9b9293-ead5-4ec4-a46f-a86fc5ec8579",
-            "name": "To-do",
-            "color": "gray",
-            "option_ids": ["9f08647c-ad39-463d-ada7-18b0851806e1"]
-          },
-          {
-            "id": "183249c1-103e-4ddf-8c7d-76feda6073fe",
-            "name": "In progress",
-            "color": "blue",
-            "option_ids": ["6d4f47e4-d554-485b-a3b5-38f41218502d"]
-          },
-          {
-            "id": "71ab78cb-5c7c-4af2-8e28-64c82e9ab4be",
-            "name": "Complete",
-            "color": "green",
-            "option_ids": ["e07004b9-d05a-4ead-a752-fd46444d5b20"]
-          }
-        ]
-      }
-    },
-    "Multi-select": {
-      "id": "GpEZ",
-      "name": "Multi-select",
-      "type": "multi_select",
-      "multi_select": {
-        "options": [
-          {
-            "id": "02733568-8d80-4b3e-8d7d-a2fcd547fc3f",
-            "name": "Red",
-            "color": "red"
-          },
-          {
-            "id": "426a6876-f5db-498b-a528-5d32ac11a57d",
-            "name": "Green",
-            "color": "green"
-          },
-          {
-            "id": "e4063033-ca88-4541-ac81-348f9f409443",
-            "name": "Blue",
-            "color": "blue"
-          }
-        ]
-      }
-    },
-    "Select": {
-      "id": "OMmU",
-      "name": "Select",
-      "type": "select",
-      "select": {
-        "options": [
-          {
-            "id": "123c9765-bef8-4c91-93e3-73205973ce29",
-            "name": "Yellow",
-            "color": "yellow"
-          },
-          {
-            "id": "40278f77-e412-417a-a1d9-dad665e57242",
-            "name": "Magenta",
-            "color": "pink"
-          }
-        ]
-      }
-    },
-    "Last edited time": {
-      "id": "Okfy",
-      "name": "Last edited time",
-      "type": "last_edited_time",
-      "last_edited_time": {}
-    },
-    "Text": {
-      "id": "VWez",
-      "name": "Text",
-      "type": "rich_text",
-      "rich_text": {}
-    },
-    "title": {
-      "id": "VdnU",
-      "name": "title",
-      "type": "rich_text",
-      "rich_text": {}
-    },
-    "Last edited by": {
-      "id": "Yfu%7B",
-      "name": "Last edited by",
-      "type": "last_edited_by",
-      "last_edited_by": {}
-    },
-    "Related Example Database": {
-      "id": "%5CtQ%5B",
-      "name": "Related Example Database",
-      "type": "relation",
-      "relation": {
-        "database_id": "c393f19c-3903-440d-a0d3-4bf9c6c12ff2",
-        "synced_property_id": "\\tQ[",
-        "synced_property_name": "Related Example Database"
-      }
-    },
-    "Created by": {
-      "id": "_qQv",
-      "name": "Created by",
-      "type": "created_by",
-      "created_by": {}
-    },
-    "Checkbox": {
-      "id": "aSh%3F",
-      "name": "Checkbox",
-      "type": "checkbox",
-      "checkbox": {}
-    },
-    "Formula": {
-      "id": "cnSn",
-      "name": "Formula",
-      "type": "formula",
-      "formula": {
-        "expression": "{{notion:block_property:lsSy:928ad4d3-c992-4931-b295-2c5bc13595dd:7f86f3d2-0f6c-4541-a93b-9593d6dc3f0a}}.split('-').last().toNumber() == \"1\""
-      }
-    },
-    "Phone": {
-      "id": "faWC",
-      "name": "Phone",
-      "type": "phone_number",
-      "phone_number": {}
-    },
-    "Email": { "id": "hMx%3C", "name": "Email", "type": "email", "email": {} },
-    "URL": { "id": "k~K%3C", "name": "URL", "type": "url", "url": {} },
-    "Created time": {
-      "id": "lYCY",
-      "name": "Created time",
-      "type": "created_time",
-      "created_time": {}
-    },
-    "ID": {
-      "id": "lsSy",
-      "name": "ID",
-      "type": "unique_id",
-      "unique_id": { "prefix": null }
-    },
-    "Date": { "id": "pbgc", "name": "Date", "type": "date", "date": {} },
-    "Person": {
-      "id": "~GU~",
-      "name": "Person",
-      "type": "people",
-      "people": {}
-    },
-    "Name": { "id": "title", "name": "Name", "type": "title", "title": {} }
-  },
-  "parent": {
-    "type": "page_id",
-    "page_id": "b34ca03f-219c-4420-a604-6fc4bdfdf7b4"
-  },
-  "url": "https://www.notion.so/c393f19c3903440da0d34bf9c6c12ff2",
-  "public_url": "https://skarard.notion.site/c393f19c3903440da0d34bf9c6c12ff2",
-  "archived": false,
-  "developer_survey": "https://notionup.typeform.com/to/bllBsoI4?utm_source=postman"
-}
diff --git a/langchain/src/document_loaders/tests/example_data/notion_api/notion_page_response.json b/langchain/src/document_loaders/tests/example_data/notion_api/notion_page_response.json
deleted file mode 100644
index 4e7c94dd7d3b..000000000000
--- a/langchain/src/document_loaders/tests/example_data/notion_api/notion_page_response.json
+++ /dev/null
@@ -1,491 +0,0 @@
-{
-  "object": "page",
-  "id": "7a1c25f2-d8a7-46d9-a2da-c9e39e018a56",
-  "created_time": "2023-06-14T10:29:00.000Z",
-  "last_edited_time": "2023-09-27T09:11:00.000Z",
-  "created_by": {
-    "object": "user",
-    "id": "c9b34ba3-5b62-4aa9-aae2-ed6024ffb0fd"
-  },
-  "last_edited_by": {
-    "object": "user",
-    "id": "c9b34ba3-5b62-4aa9-aae2-ed6024ffb0fd"
-  },
-  "cover": null,
-  "icon": null,
-  "parent": {
-    "type": "database_id",
-    "database_id": "c393f19c-3903-440d-a0d3-4bf9c6c12ff2"
-  },
-  "archived": false,
-  "properties": {
-    "File": {
-      "id": "%3DAK%3F",
-      "type": "files",
-      "files": [
-        {
-          "name": "MetaLumna Logo Square.png",
-          "type": "file",
-          "file": {
-            "url": "https://s3.us-west-2.amazonaws.com/secure.notion-static.com/8ad37e93-7788-499e-8fe5-35c714c0022f/MetaLumna_Logo_Square.png?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Content-Sha256=UNSIGNED-PAYLOAD&X-Amz-Credential=AKIAT73L2G45EIPT3X45%2F20230927%2Fus-west-2%2Fs3%2Faws4_request&X-Amz-Date=20230927T091149Z&X-Amz-Expires=3600&X-Amz-Signature=292d6ed32186f0364aa844e4e5654c54c3364fb5e60f5d880591d41585df16e3&X-Amz-SignedHeaders=host&x-id=GetObject",
-            "expiry_time": "2023-09-27T10:11:49.797Z"
-          }
-        }
-      ]
-    },
-    "Number": { "id": "%3FD%7CI", "type": "number", "number": 1234 },
-    "Rollup": {
-      "id": "%3FROk",
-      "type": "rollup",
-      "rollup": {
-        "type": "array",
-        "array": [
-          {
-            "type": "title",
-            "title": [
-              {
-                "type": "text",
-                "text": {
-                  "content": "Another page in a database that acts as an example",
-                  "link": null
-                },
-                "annotations": {
-                  "bold": false,
-                  "italic": false,
-                  "strikethrough": false,
-                  "underline": false,
-                  "code": false,
-                  "color": "default"
-                },
-                "plain_text": "Another page in a database that acts as an example",
-                "href": null
-              }
-            ]
-          },
-          {
-            "type": "title",
-            "title": [
-              {
-                "type": "text",
-                "text": { "content": "An example ", "link": null },
-                "annotations": {
-                  "bold": false,
-                  "italic": false,
-                  "strikethrough": false,
-                  "underline": false,
-                  "code": false,
-                  "color": "default"
-                },
-                "plain_text": "An example ",
-                "href": null
-              },
-              {
-                "type": "text",
-                "text": { "content": "page", "link": null },
-                "annotations": {
-                  "bold": false,
-                  "italic": false,
-                  "strikethrough": true,
-                  "underline": false,
-                  "code": false,
-                  "color": "default"
-                },
-                "plain_text": "page",
-                "href": null
-              },
-              {
-                "type": "text",
-                "text": { "content": " in a database", "link": null },
-                "annotations": {
-                  "bold": false,
-                  "italic": false,
-                  "strikethrough": false,
-                  "underline": false,
-                  "code": false,
-                  "color": "default"
-                },
-                "plain_text": " in a database",
-                "href": null
-              }
-            ]
-          },
-          {
-            "type": "title",
-            "title": [
-              {
-                "type": "text",
-                "text": {
-                  "content": "A database page that is an example",
-                  "link": null
-                },
-                "annotations": {
-                  "bold": false,
-                  "italic": false,
-                  "strikethrough": false,
-                  "underline": false,
-                  "code": false,
-                  "color": "default"
-                },
-                "plain_text": "A database page that is an example",
-                "href": null
-              }
-            ]
-          }
-        ],
-        "function": "show_original"
-      }
-    },
-    "Status": {
-      "id": "%40mqJ",
-      "type": "status",
-      "status": {
-        "id": "6d4f47e4-d554-485b-a3b5-38f41218502d",
-        "name": "In progress",
-        "color": "blue"
-      }
-    },
-    "Multi-select": {
-      "id": "GpEZ",
-      "type": "multi_select",
-      "multi_select": [
-        {
-          "id": "02733568-8d80-4b3e-8d7d-a2fcd547fc3f",
-          "name": "Red",
-          "color": "red"
-        },
-        {
-          "id": "426a6876-f5db-498b-a528-5d32ac11a57d",
-          "name": "Green",
-          "color": "green"
-        },
-        {
-          "id": "e4063033-ca88-4541-ac81-348f9f409443",
-          "name": "Blue",
-          "color": "blue"
-        }
-      ]
-    },
-    "Select": {
-      "id": "OMmU",
-      "type": "select",
-      "select": {
-        "id": "40278f77-e412-417a-a1d9-dad665e57242",
-        "name": "Magenta",
-        "color": "pink"
-      }
-    },
-    "Last edited time": {
-      "id": "Okfy",
-      "type": "last_edited_time",
-      "last_edited_time": "2023-09-27T09:11:00.000Z"
-    },
-    "Text": {
-      "id": "VWez",
-      "type": "rich_text",
-      "rich_text": [
-        {
-          "type": "text",
-          "text": { "content": "This is just some ", "link": null },
-          "annotations": {
-            "bold": false,
-            "italic": false,
-            "strikethrough": false,
-            "underline": false,
-            "code": false,
-            "color": "default"
-          },
-          "plain_text": "This is just some ",
-          "href": null
-        },
-        {
-          "type": "text",
-          "text": { "content": "text", "link": null },
-          "annotations": {
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-            "italic": false,
-            "strikethrough": false,
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-          },
-          "plain_text": "text",
-          "href": null
-        },
-        {
-          "type": "text",
-          "text": {
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-            "link": null
-          },
-          "annotations": {
-            "bold": false,
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-          "plain_text": " with some formatting and new lines.\n\n",
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-          "type": "text",
-          "text": { "content": "\n", "link": null },
-          "annotations": {
-            "bold": false,
-            "italic": false,
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-            "code": false,
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-          "annotations": {
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-            "italic": false,
-            "strikethrough": false,
-            "underline": false,
-            "code": false,
-            "color": "default"
-          },
-          "plain_text": "bold",
-          "href": null
-        },
-        {
-          "type": "text",
-          "text": { "content": "\n", "link": null },
-          "annotations": {
-            "bold": false,
-            "italic": false,
-            "strikethrough": false,
-            "underline": false,
-            "code": false,
-            "color": "default"
-          },
-          "plain_text": "\n",
-          "href": null
-        },
-        {
-          "type": "text",
-          "text": { "content": "inline code", "link": null },
-          "annotations": {
-            "bold": false,
-            "italic": false,
-            "strikethrough": false,
-            "underline": false,
-            "code": true,
-            "color": "default"
-          },
-          "plain_text": "inline code",
-          "href": null
-        },
-        {
-          "type": "text",
-          "text": { "content": "\n", "link": null },
-          "annotations": {
-            "bold": false,
-            "italic": false,
-            "strikethrough": false,
-            "underline": false,
-            "code": false,
-            "color": "default"
-          },
-          "plain_text": "\n",
-          "href": null
-        },
-        {
-          "type": "text",
-          "text": { "content": "strike through", "link": null },
-          "annotations": {
-            "bold": false,
-            "italic": false,
-            "strikethrough": true,
-            "underline": false,
-            "code": false,
-            "color": "default"
-          },
-          "plain_text": "strike through",
-          "href": null
-        }
-      ]
-    },
-    "title": {
-      "id": "VdnU",
-      "type": "rich_text",
-      "rich_text": [
-        {
-          "type": "text",
-          "text": { "content": "So this counts as a title 1", "link": null },
-          "annotations": {
-            "bold": false,
-            "italic": false,
-            "strikethrough": false,
-            "underline": false,
-            "code": false,
-            "color": "default"
-          },
-          "plain_text": "So this counts as a title 1",
-          "href": null
-        }
-      ]
-    },
-    "Last edited by": {
-      "id": "Yfu%7B",
-      "type": "last_edited_by",
-      "last_edited_by": {
-        "object": "user",
-        "id": "c9b34ba3-5b62-4aa9-aae2-ed6024ffb0fd",
-        "name": "Richard Casemore",
-        "avatar_url": "https://s3-us-west-2.amazonaws.com/public.notion-static.com/fa55636a-5a2b-411d-ad24-6d26b6468bf1/12034277_879339035492383_624157532974474889_o.jpg",
-        "type": "person",
-        "person": { "email": "skarard@gmail.com" }
-      }
-    },
-    "Related Example Database": {
-      "id": "%5CtQ%5B",
-      "type": "relation",
-      "relation": [
-        { "id": "7d9d1b96-34fa-4da3-b70d-9f71a75e1291" },
-        { "id": "7a1c25f2-d8a7-46d9-a2da-c9e39e018a56" },
-        { "id": "67662914-f22b-47fd-98aa-19988c40c77d" }
-      ],
-      "has_more": false
-    },
-    "Created by": {
-      "id": "_qQv",
-      "type": "created_by",
-      "created_by": {
-        "object": "user",
-        "id": "c9b34ba3-5b62-4aa9-aae2-ed6024ffb0fd",
-        "name": "Richard Casemore",
-        "avatar_url": "https://s3-us-west-2.amazonaws.com/public.notion-static.com/fa55636a-5a2b-411d-ad24-6d26b6468bf1/12034277_879339035492383_624157532974474889_o.jpg",
-        "type": "person",
-        "person": { "email": "skarard@gmail.com" }
-      }
-    },
-    "Checkbox": { "id": "aSh%3F", "type": "checkbox", "checkbox": true },
-    "Formula": {
-      "id": "cnSn",
-      "type": "formula",
-      "formula": { "type": "boolean", "boolean": false }
-    },
-    "Phone": {
-      "id": "faWC",
-      "type": "phone_number",
-      "phone_number": "555-1234"
-    },
-    "Email": { "id": "hMx%3C", "type": "email", "email": "skarard@gmail.com" },
-    "URL": { "id": "k~K%3C", "type": "url", "url": "https://example.com" },
-    "Created time": {
-      "id": "lYCY",
-      "type": "created_time",
-      "created_time": "2023-06-14T10:29:00.000Z"
-    },
-    "ID": {
-      "id": "lsSy",
-      "type": "unique_id",
-      "unique_id": { "prefix": null, "number": 2 }
-    },
-    "Date": {
-      "id": "pbgc",
-      "type": "date",
-      "date": {
-        "start": "2023-08-09T00:00:00.000+01:00",
-        "end": "2023-08-09T00:00:00.000+01:00",
-        "time_zone": null
-      }
-    },
-    "Person": {
-      "id": "~GU~",
-      "type": "people",
-      "people": [
-        {
-          "object": "user",
-          "id": "c9b34ba3-5b62-4aa9-aae2-ed6024ffb0fd",
-          "name": "Richard Casemore",
-          "avatar_url": "https://s3-us-west-2.amazonaws.com/public.notion-static.com/fa55636a-5a2b-411d-ad24-6d26b6468bf1/12034277_879339035492383_624157532974474889_o.jpg",
-          "type": "person",
-          "person": { "email": "skarard@gmail.com" }
-        },
-        {
-          "object": "user",
-          "id": "9d6b0c60-efdd-48d1-b63e-027d9b7d66a0",
-          "name": "MetaLumna Admin",
-          "avatar_url": null,
-          "type": "person",
-          "person": { "email": "team@metalumna.com" }
-        }
-      ]
-    },
-    "Name": {
-      "id": "title",
-      "type": "title",
-      "title": [
-        {
-          "type": "text",
-          "text": { "content": "An example ", "link": null },
-          "annotations": {
-            "bold": false,
-            "italic": false,
-            "strikethrough": false,
-            "underline": false,
-            "code": false,
-            "color": "default"
-          },
-          "plain_text": "An example ",
-          "href": null
-        },
-        {
-          "type": "text",
-          "text": { "content": "page", "link": null },
-          "annotations": {
-            "bold": false,
-            "italic": false,
-            "strikethrough": true,
-            "underline": false,
-            "code": false,
-            "color": "default"
-          },
-          "plain_text": "page",
-          "href": null
-        },
-        {
-          "type": "text",
-          "text": { "content": " in a database", "link": null },
-          "annotations": {
-            "bold": false,
-            "italic": false,
-            "strikethrough": false,
-            "underline": false,
-            "code": false,
-            "color": "default"
-          },
-          "plain_text": " in a database",
-          "href": null
-        }
-      ]
-    }
-  },
-  "url": "https://www.notion.so/An-example-page-in-a-database-7a1c25f2d8a746d9a2dac9e39e018a56",
-  "public_url": "https://skarard.notion.site/An-example-page-in-a-database-7a1c25f2d8a746d9a2dac9e39e018a56",
-  "developer_survey": "https://notionup.typeform.com/to/bllBsoI4?utm_source=postman"
-}
diff --git a/langchain/src/document_loaders/tests/example_data/obsidian/bad_frontmatter.md b/langchain/src/document_loaders/tests/example_data/obsidian/bad_frontmatter.md
deleted file mode 100644
index edc335e195ff..000000000000
--- a/langchain/src/document_loaders/tests/example_data/obsidian/bad_frontmatter.md
+++ /dev/null
@@ -1,9 +0,0 @@
----
-anArray:
- one
-- two
-- three
-tags: 'onetag', 'twotag' ]
----
-
-A document with frontmatter that isn't valid.
diff --git a/langchain/src/document_loaders/tests/example_data/obsidian/frontmatter.md b/langchain/src/document_loaders/tests/example_data/obsidian/frontmatter.md
deleted file mode 100644
index bb1f5b9f0fc5..000000000000
--- a/langchain/src/document_loaders/tests/example_data/obsidian/frontmatter.md
+++ /dev/null
@@ -1,5 +0,0 @@
----
-tags: journal/entry, obsidian
----
-
-No other content than the frontmatter.
diff --git a/langchain/src/document_loaders/tests/example_data/obsidian/no_frontmatter.md b/langchain/src/document_loaders/tests/example_data/obsidian/no_frontmatter.md
deleted file mode 100644
index 3943ec888c7e..000000000000
--- a/langchain/src/document_loaders/tests/example_data/obsidian/no_frontmatter.md
+++ /dev/null
@@ -1,14 +0,0 @@
-### Description
-
-#recipes #dessert #cookies
-
-A document with HR elements that might trip up a front matter parser:
-
----
-
-### Ingredients
-
-- 3/4 cup (170g) **unsalted butter**, slightly softened to room temperature.
-- 1 and 1/2 cups (180g) **confectioners’ sugar**
-
----
diff --git a/langchain/src/document_loaders/tests/example_data/obsidian/no_metadata.md b/langchain/src/document_loaders/tests/example_data/obsidian/no_metadata.md
deleted file mode 100644
index 70258e5aea71..000000000000
--- a/langchain/src/document_loaders/tests/example_data/obsidian/no_metadata.md
+++ /dev/null
@@ -1 +0,0 @@
-A markdown document with no additional metadata.
diff --git a/langchain/src/document_loaders/tests/example_data/obsidian/tags_and_frontmatter.md b/langchain/src/document_loaders/tests/example_data/obsidian/tags_and_frontmatter.md
deleted file mode 100644
index 1d108a11ac87..000000000000
--- a/langchain/src/document_loaders/tests/example_data/obsidian/tags_and_frontmatter.md
+++ /dev/null
@@ -1,36 +0,0 @@
----
-aFloat: 13.12345
-anInt: 15
-aBool: true
-aString: string value
-anArray:
-  - one
-  - two
-  - three
-aDict:
-  dictId1: "58417"
-  dictId2: 1500
-tags: ["onetag", "twotag"]
----
-
-# Tags
-
-()#notatag
-#12345
-#read
-something #tagWithCases
-
-- #tag-with-dash
-  #tag_with_underscore #tag/with/nesting
-
-# Dataview
-
-Here is some data in a [dataview1:: a value] line.
-Here is even more data in a (dataview2:: another value) line.
-dataview3:: more data
-notdataview4: this is not a field
-notdataview5: this is not a field
-
-# Text content
-
-https://example.com/blog/#not-a-tag
diff --git a/langchain/src/document_loaders/tests/example_data/theikuntest.pptx b/langchain/src/document_loaders/tests/example_data/theikuntest.pptx
deleted file mode 100644
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z>*($w0}1_gfO!}9u+U7#dvJdU{pVElF8Q|o6|m4krhCXhLVp?7+{HaC6pZ~I+#f>!
zalyGumbv9411$6r$30{qp}$-)?&2O6D#~>a?hm2=SZ&-T-!`iN7W#tw9x{;7U&-`$
zaSscv;kyU-htPjA^zV{y=ePq4ZRNj*3?%ed?(1FL!$Ql2@4@{c^q+*<yX4y`slY-T
zMD8I23H_a*dY1>R6mXvd{RD~M!}~+&Z|c20>FpddATmg-#64(WsrQb<4@(V`xrg_s
z)Q3l>+o>SHQWItGK?6(u*Wu~*r}|al9^Ri)A0D4>2U`P6U4D5F8d&PT4p6tH2B_S_
z`%~(}Bh>9MOJJ$ds`sFQrT*&>bz5qO#yz}0r9M1H-45ykmO89?4;onNzYbEjrHbj?
z!~0X}!=u#g=oetA3cA11Ku7d8^gu7}y{m2?`vc?hU*CiKt@JMR-uwUdQ93ZWME^G#
zXm)$=ZFKvT1eoyH6zEd~J~O%7zun$H2S)Ij-$DTW3m)z#Zf{2e(|9fZdP}!Ar|-(S
jy#)dcfVTqyxo1P<g(M_k2?qkg0C+3|YzU0s{(SX6CRAS-

diff --git a/langchain/src/document_loaders/tests/figma.int.test.ts b/langchain/src/document_loaders/tests/figma.int.test.ts
deleted file mode 100644
index 4926f07c7b66..000000000000
--- a/langchain/src/document_loaders/tests/figma.int.test.ts
+++ /dev/null
@@ -1,16 +0,0 @@
-/* eslint-disable no-process-env */
-/* eslint-disable @typescript-eslint/no-non-null-assertion */
-import { test } from "@jest/globals";
-import { FigmaFileLoader } from "../web/figma.js";
-
-test.skip("Test FigmaFileLoader", async () => {
-  const loader = new FigmaFileLoader({
-    accessToken: process.env.FIGMA_ACCESS_TOKEN!,
-    nodeIds: (process.env.FIGMA_NODE_IDS ?? "").split(","),
-    fileKey: process.env.FIGMA_FILE_KEY!,
-  });
-  // @eslint-disable-next-line/@typescript-eslint/ban-ts-comment
-  // @ts-expect-error unused var
-  const documents = await loader.load();
-  // console.log(documents[0].pageContent);
-});
diff --git a/langchain/src/document_loaders/tests/firecrawl.int.test.ts b/langchain/src/document_loaders/tests/firecrawl.int.test.ts
deleted file mode 100644
index 18ac838c3fb3..000000000000
--- a/langchain/src/document_loaders/tests/firecrawl.int.test.ts
+++ /dev/null
@@ -1,34 +0,0 @@
-/* eslint-disable no-process-env */
-/* eslint-disable @typescript-eslint/no-non-null-assertion */
-import { test } from "@jest/globals";
-import { Document } from "@langchain/core/documents";
-import { FireCrawlLoader } from "../web/firecrawl.js";
-
-test("Test FireCrawlLoader load method with scrape mode", async () => {
-  const loader = new FireCrawlLoader({
-    url: "https://firecrawl.dev",
-    apiKey: process.env.FIRECRAWL_API_KEY,
-    mode: "scrape",
-  });
-
-  const documents = await loader.load();
-  expect(documents).toHaveLength(1);
-  const document = documents[0];
-  expect(document).toBeInstanceOf(Document);
-  expect(document.pageContent).toBeTruthy();
-  expect(document.metadata).toBeTruthy();
-});
-
-test("Test FireCrawlLoader load method with crawl mode", async () => {
-  const loader = new FireCrawlLoader({
-    url: "https://firecrawl.dev",
-    apiKey: process.env.FIRECRAWL_API_KEY,
-    mode: "crawl",
-  });
-
-  const documents = await loader.load();
-  const document = documents[0];
-  expect(document).toBeInstanceOf(Document);
-  expect(document.pageContent).toBeTruthy();
-  expect(document.metadata).toBeTruthy();
-}, 15000);
diff --git a/langchain/src/document_loaders/tests/gitbook.int.test.ts b/langchain/src/document_loaders/tests/gitbook.int.test.ts
deleted file mode 100644
index 60c312dc69b2..000000000000
--- a/langchain/src/document_loaders/tests/gitbook.int.test.ts
+++ /dev/null
@@ -1,23 +0,0 @@
-import { test } from "@jest/globals";
-import { GitbookLoader } from "../web/gitbook.js";
-
-test("Test GitbookLoader", async () => {
-  const loader = new GitbookLoader(
-    "https://docs.gitbook.com/product-tour/navigation"
-  );
-
-  // @eslint-disable-next-line/@typescript-eslint/ban-ts-comment
-  // @ts-expect-error unused var
-  const docs = await loader.load();
-  // console.log("Loaded", docs.length, "Gitbook documents");
-});
-
-test("Test GitbookLoader with shouldLoadAllPaths", async () => {
-  const loader = new GitbookLoader("https://docs.maildrop.cc", {
-    shouldLoadAllPaths: true,
-  });
-  // @eslint-disable-next-line/@typescript-eslint/ban-ts-comment
-  // @ts-expect-error unused var
-  const docs = await loader.load();
-  // console.log("Loaded", docs.length, "Gitbook documents");
-});
diff --git a/langchain/src/document_loaders/tests/github.int.test.ts b/langchain/src/document_loaders/tests/github.int.test.ts
deleted file mode 100644
index 245b4c668d5c..000000000000
--- a/langchain/src/document_loaders/tests/github.int.test.ts
+++ /dev/null
@@ -1,140 +0,0 @@
-import { test } from "@jest/globals";
-import { GithubRepoLoader } from "../web/github.js";
-
-test("Test GithubRepoLoader", async () => {
-  const loader = new GithubRepoLoader(
-    "https://github.com/langchain-ai/langchainjs",
-    { branch: "main", recursive: false, unknown: "warn" }
-  );
-  const documents = await loader.load();
-  expect(
-    documents.filter((document) => document.metadata.source === "yarn.lock")
-      .length
-  ).toBe(1);
-  expect(
-    documents.filter((document) => document.metadata.source === "README.md")
-      .length
-  ).toBe(1);
-  // console.log(documents[0].pageContent);
-});
-
-test("Test ignoreFiles with GithubRepoLoader", async () => {
-  const loader = new GithubRepoLoader(
-    "https://github.com/langchain-ai/langchainjs",
-    {
-      branch: "main",
-      recursive: false,
-      unknown: "warn",
-      ignoreFiles: ["yarn.lock", "README.md"],
-    }
-  );
-  const documents = await loader.load();
-  expect(
-    documents.filter((document) => document.metadata.source === "yarn.lock")
-      .length
-  ).toBe(0);
-  expect(
-    documents.filter((document) => document.metadata.source === "README.md")
-      .length
-  ).toBe(0);
-  // console.log(documents[0].pageContent);
-});
-
-test("Test ignorePaths with GithubRepoLoader", async () => {
-  const loader = new GithubRepoLoader(
-    "https://github.com/langchain-ai/langchainjs",
-    {
-      branch: "main",
-      recursive: false,
-      unknown: "warn",
-      ignorePaths: ["yarn.lock", "*.md"],
-    }
-  );
-  const documents = await loader.load();
-  expect(
-    documents.filter((document) => document.metadata.source === "yarn.lock")
-      .length
-  ).toBe(0);
-  expect(
-    documents.filter((document) => document.metadata.source.endsWith(".md"))
-      .length
-  ).toBe(0);
-  // console.log(documents[0].pageContent);
-});
-
-test("Test streaming documents from GithubRepoLoader", async () => {
-  const loader = new GithubRepoLoader(
-    "https://github.com/langchain-ai/langchainjs",
-    {
-      branch: "main",
-      recursive: false,
-      unknown: "warn",
-    }
-  );
-
-  const documents = [];
-  for await (const document of loader.loadAsStream()) {
-    documents.push(document);
-  }
-
-  expect(
-    documents.filter((document) => document.metadata.source === "yarn.lock")
-      .length
-  ).toBe(1);
-  expect(
-    documents.filter((document) => document.metadata.source === "README.md")
-      .length
-  ).toBe(1);
-});
-
-test("Test ignorePaths streaming with GithubRepoLoader", async () => {
-  const loader = new GithubRepoLoader(
-    "https://github.com/langchain-ai/langchainjs",
-    {
-      branch: "main",
-      recursive: false,
-      unknown: "warn",
-      ignorePaths: ["yarn.lock", "*.md"],
-    }
-  );
-
-  const documents = [];
-  for await (const document of loader.loadAsStream()) {
-    documents.push(document);
-  }
-
-  expect(
-    documents.filter((document) => document.metadata.source === "yarn.lock")
-      .length
-  ).toBe(0);
-  expect(
-    documents.filter((document) => document.metadata.source.endsWith(".md"))
-      .length
-  ).toBe(0);
-});
-
-test("Test ignoreFiles streaming with GithubRepoLoader", async () => {
-  const loader = new GithubRepoLoader(
-    "https://github.com/langchain-ai/langchainjs",
-    {
-      branch: "main",
-      recursive: false,
-      unknown: "warn",
-      ignoreFiles: ["yarn.lock", "README.md"],
-    }
-  );
-
-  const documents = [];
-  for await (const document of loader.loadAsStream()) {
-    documents.push(document);
-  }
-
-  expect(
-    documents.filter((document) => document.metadata.source === "yarn.lock")
-      .length
-  ).toBe(0);
-  expect(
-    documents.filter((document) => document.metadata.source === "README.md")
-      .length
-  ).toBe(0);
-});
diff --git a/langchain/src/document_loaders/tests/github.test.ts b/langchain/src/document_loaders/tests/github.test.ts
deleted file mode 100644
index 50b5f2a46c05..000000000000
--- a/langchain/src/document_loaders/tests/github.test.ts
+++ /dev/null
@@ -1,63 +0,0 @@
-import { jest, test } from "@jest/globals";
-import { GithubFile, GithubRepoLoader } from "../web/github.js";
-import { GithubLoaderApis } from "./example_data/github_api_responses.js";
-
-describe("GithubRepoLoader recursion", () => {
-  let callCount = 0;
-  beforeAll(() => {
-    global.fetch = jest.fn().mockImplementation((url) => {
-      let responseData: GithubFile[] | string =
-        GithubLoaderApis.getRepoFiles[callCount.toString()];
-
-      if ((url as string).includes("https://api.github.com/repos")) {
-        responseData = GithubLoaderApis.getRepoFiles[callCount.toString()];
-        callCount += 1;
-      } else if ((url as string).includes("githubfilecontent.com")) {
-        responseData = GithubLoaderApis.getFileContents;
-      }
-      return Promise.resolve({
-        ok: true,
-        json: () => Promise.resolve(responseData),
-        text: () => Promise.resolve("this is a file full of stuff"),
-      });
-      // eslint-disable-next-line @typescript-eslint/no-explicit-any
-    }) as any;
-  });
-
-  afterAll(() => {
-    jest.clearAllMocks();
-    callCount = 0;
-  });
-
-  test("Test recursion with GithubRepoLoader", async () => {
-    const loader = new GithubRepoLoader(
-      "https://github.com/langchain-ai/langchainjs",
-      {
-        branch: "main",
-        recursive: true,
-        unknown: "warn",
-        ignorePaths: ["*.md"],
-      }
-    );
-
-    const documents = await loader.load();
-    expect(documents.length).toBe(2);
-    expect(documents.map((doc) => doc.metadata.source)).toEqual([
-      "foo.txt",
-      "dir1/dir1_1/nested_file.txt",
-    ]);
-  });
-
-  test("Expect an error if processSubmodules set without recursive with GithubRepoLoader", async () => {
-    expect(
-      () =>
-        new GithubRepoLoader("https://github.com/langchain-ai/langchainjs", {
-          branch: "main",
-          recursive: false,
-          processSubmodules: true,
-          unknown: "warn",
-          ignorePaths: ["*.md"],
-        })
-    ).toThrow();
-  });
-});
diff --git a/langchain/src/document_loaders/tests/hn.int.test.ts b/langchain/src/document_loaders/tests/hn.int.test.ts
deleted file mode 100644
index 432976a519af..000000000000
--- a/langchain/src/document_loaders/tests/hn.int.test.ts
+++ /dev/null
@@ -1,7 +0,0 @@
-import { test } from "@jest/globals";
-import { HNLoader } from "../web/hn.js";
-
-test("Test Hacker News loader", async () => {
-  const loader = new HNLoader("https://news.ycombinator.com/item?id=34817881");
-  await loader.load();
-});
diff --git a/langchain/src/document_loaders/tests/imsdb.test.ts b/langchain/src/document_loaders/tests/imsdb.test.ts
deleted file mode 100644
index c6a1676ce34a..000000000000
--- a/langchain/src/document_loaders/tests/imsdb.test.ts
+++ /dev/null
@@ -1,9 +0,0 @@
-import { test } from "@jest/globals";
-import { IMSDBLoader } from "../web/imsdb.js";
-
-test("Test IMSDB loader", async () => {
-  const loader = new IMSDBLoader(
-    "https://imsdb.com/scripts/BlacKkKlansman.html"
-  );
-  await loader.load();
-});
diff --git a/langchain/src/document_loaders/tests/multi_file.test.ts b/langchain/src/document_loaders/tests/multi_file.test.ts
index 24d5a84ec082..02654b894884 100644
--- a/langchain/src/document_loaders/tests/multi_file.test.ts
+++ b/langchain/src/document_loaders/tests/multi_file.test.ts
@@ -2,8 +2,6 @@ import * as url from "node:url";
 import * as path from "node:path";
 import { test, expect } from "@jest/globals";
 import { MultiFileLoader } from "../fs/multi_file.js";
-import { CSVLoader } from "../fs/csv.js";
-import { PDFLoader } from "../fs/pdf.js";
 import { TextLoader } from "../fs/text.js";
 import { JSONLoader } from "../fs/json.js";
 import { UnknownHandling } from "../fs/directory.js";
@@ -15,31 +13,17 @@ test("Test MultiFileLoader", async () => {
   );
 
   const filePaths = [
-    path.resolve(baseDirectory, "1706.03762.pdf"),
-    path.resolve(baseDirectory, "Jacob_Lee_Resume_2023.pdf"),
-    path.resolve(
-      baseDirectory,
-      "Star_Wars_The_Clone_Wars_S06E07_Crisis_at_the_Heart.csv"
-    ),
     path.resolve(
       baseDirectory,
       "Star_Wars_The_Clone_Wars_S06E07_Crisis_at_the_Heart.json"
     ),
     path.resolve(baseDirectory, "complex.json"),
     path.resolve(baseDirectory, "example.txt"),
-    path.resolve(baseDirectory, "example_separator.csv"),
   ];
 
   const loader = new MultiFileLoader(
     filePaths,
     {
-      ".csv": (p) => {
-        if (p.includes("separator.csv")) {
-          return new CSVLoader(p, { column: "html", separator: "｜" });
-        }
-        return new CSVLoader(p, "html");
-      },
-      ".pdf": (p) => new PDFLoader(p),
       ".txt": (p) => new TextLoader(p),
       ".json": (p) => new JSONLoader(p),
     },
@@ -47,21 +31,9 @@ test("Test MultiFileLoader", async () => {
   );
 
   const docs = await loader.load();
-  expect(docs.length).toBe(123);
+  expect(docs.length).toBe(43);
 
   const expectedSources = [
-    // PDF
-    ...Array.from({ length: 15 }, (_) =>
-      path.resolve(baseDirectory, "1706.03762.pdf")
-    ),
-    path.resolve(baseDirectory, "Jacob_Lee_Resume_2023.pdf"),
-    // CSV
-    ...Array.from({ length: 32 }, (_) =>
-      path.resolve(
-        baseDirectory,
-        "Star_Wars_The_Clone_Wars_S06E07_Crisis_at_the_Heart.csv"
-      )
-    ),
     // JSON
     ...Array.from({ length: 32 }, (_) =>
       path.resolve(
@@ -74,10 +46,6 @@ test("Test MultiFileLoader", async () => {
     ),
     // TXT
     path.resolve(baseDirectory, "example.txt"),
-    // CSV
-    ...Array.from({ length: 32 }, (_) =>
-      path.resolve(baseDirectory, "example_separator.csv")
-    ),
   ];
 
   expect(docs.map((d) => d.metadata.source).sort()).toEqual(expectedSources);
diff --git a/langchain/src/document_loaders/tests/notion.test.ts b/langchain/src/document_loaders/tests/notion.test.ts
deleted file mode 100644
index ca0680685023..000000000000
--- a/langchain/src/document_loaders/tests/notion.test.ts
+++ /dev/null
@@ -1,16 +0,0 @@
-import { test, expect } from "@jest/globals";
-import * as url from "node:url";
-import * as path from "node:path";
-import { NotionLoader } from "../fs/notion.js";
-
-test("Test Notion Loader", async () => {
-  const directoryPath = path.resolve(
-    path.dirname(url.fileURLToPath(import.meta.url)),
-    "./example_data/notion"
-  );
-  const loader = new NotionLoader(directoryPath);
-  const docs = await loader.load();
-
-  expect(docs.length).toBe(1);
-  expect(docs[0].pageContent).toContain("Testing the notion markdownloader");
-});
diff --git a/langchain/src/document_loaders/tests/notionapi.int.test.ts b/langchain/src/document_loaders/tests/notionapi.int.test.ts
deleted file mode 100644
index 04bd667d7661..000000000000
--- a/langchain/src/document_loaders/tests/notionapi.int.test.ts
+++ /dev/null
@@ -1,113 +0,0 @@
-/* eslint-disable no-process-env */
-/* eslint-disable @typescript-eslint/no-non-null-assertion */
-import { test } from "@jest/globals";
-import { NotionAPILoader } from "../web/notionapi.js";
-
-test.skip("Test Notion API Loader Page", async () => {
-  const loader = new NotionAPILoader({
-    clientOptions: {
-      auth: process.env.NOTION_INTEGRATION_TOKEN,
-    },
-    id: process.env.NOTION_PAGE_ID ?? "",
-    // @eslint-disable-next-line/@typescript-eslint/ban-ts-comment
-    // @ts-expect-error unused var
-    onDocumentLoaded: (current, total, currentTitle, rootTitle) => {
-      // console.log(
-      //   `Loaded ${currentTitle} in ${rootTitle}:  (${current}/${total})`
-      // );
-    },
-  });
-
-  const docs = await loader.load();
-  // @eslint-disable-next-line/@typescript-eslint/ban-ts-comment
-  // @ts-expect-error unused var
-  const titles = docs.map((doc) => doc.metadata.properties._title);
-  // console.log("Titles:", titles);
-  // console.log(`Loaded ${docs.length} pages`);
-});
-
-test.skip("Test Notion API Loader Database", async () => {
-  const loader = new NotionAPILoader({
-    clientOptions: {
-      auth: process.env.NOTION_INTEGRATION_TOKEN,
-    },
-    id: process.env.NOTION_DATABASE_ID ?? "",
-    // @eslint-disable-next-line/@typescript-eslint/ban-ts-comment
-    // @ts-expect-error unused var
-    onDocumentLoaded: (current, total, currentTitle, rootTitle) => {
-      // console.log(
-      //   `Loaded ${currentTitle} in ${rootTitle}:  (${current}/${total})`
-      // );
-    },
-  });
-
-  const docs = await loader.load();
-  // @eslint-disable-next-line/@typescript-eslint/ban-ts-comment
-  // @ts-expect-error unused var
-  const titles = docs.map((doc) => doc.metadata.properties._title);
-  // console.log("Titles:", titles);
-  // console.log(`Loaded ${docs.length} pages from the database`);
-});
-
-test.skip("Test Notion API Loader onDocumentLoad", async () => {
-  const onDocumentLoadedCheck: string[] = [];
-  const loader = new NotionAPILoader({
-    clientOptions: {
-      auth: process.env.NOTION_INTEGRATION_TOKEN,
-    },
-    id: process.env.NOTION_DATABASE_ID ?? "",
-    onDocumentLoaded: (current, total, currentTitle, rootTitle) => {
-      onDocumentLoadedCheck.push(
-        `Loaded ${currentTitle} from ${rootTitle}: (${current}/${total})`
-      );
-    },
-    propertiesAsHeader: true,
-  });
-
-  await loader.load();
-
-  expect(onDocumentLoadedCheck.length).toBe(3);
-
-  // console.log(onDocumentLoadedCheck);
-});
-
-test.skip("Test docs with empty database page content", async () => {
-  const onDocumentLoadedCheck: string[] = [];
-  const loader = new NotionAPILoader({
-    clientOptions: {
-      auth: process.env.NOTION_INTEGRATION_TOKEN,
-    },
-    id: process.env.NOTION_DATABASE_ID ?? "",
-    onDocumentLoaded: (current, total, currentTitle, rootTitle) => {
-      onDocumentLoadedCheck.push(
-        `Loaded ${currentTitle} from ${rootTitle}: (${current}/${total})`
-      );
-    },
-  });
-
-  const docs = await loader.load();
-
-  expect(docs.length).toBe(0);
-});
-
-test.skip("Test docs with empty database page content and propertiesAsHeader enabled", async () => {
-  const onDocumentLoadedCheck: string[] = [];
-  const loader = new NotionAPILoader({
-    clientOptions: {
-      auth: process.env.NOTION_INTEGRATION_TOKEN,
-    },
-    id: process.env.NOTION_DATABASE_ID ?? "",
-    onDocumentLoaded: (current, total, currentTitle, rootTitle) => {
-      onDocumentLoadedCheck.push(
-        `Loaded ${currentTitle} from ${rootTitle}: (${current}/${total})`
-      );
-    },
-    propertiesAsHeader: true,
-  });
-
-  const docs = await loader.load();
-
-  expect(docs.length).toBe(3);
-
-  // console.log(docs);
-});
diff --git a/langchain/src/document_loaders/tests/notionapi.test.ts b/langchain/src/document_loaders/tests/notionapi.test.ts
deleted file mode 100644
index 4c2e593dd3f0..000000000000
--- a/langchain/src/document_loaders/tests/notionapi.test.ts
+++ /dev/null
@@ -1,136 +0,0 @@
-/* eslint-disable no-process-env */
-/* eslint-disable @typescript-eslint/no-non-null-assertion */
-import * as fs from "node:fs";
-import * as url from "node:url";
-import * as path from "node:path";
-import { test } from "@jest/globals";
-import {
-  DatabaseObjectResponse,
-  NotionAPILoader,
-  PageObjectResponse,
-} from "../web/notionapi.js";
-
-test("Properties Parser", async () => {
-  const loader = new NotionAPILoader({
-    clientOptions: {
-      auth: process.env.NOTION_INTEGRATION_TOKEN,
-    },
-    id: process.env.NOTION_PAGE_ID ?? "",
-    // @eslint-disable-next-line/@typescript-eslint/ban-ts-comment
-    // @ts-expect-error unused var
-    onDocumentLoaded: (current, total, currentTitle) => {
-      // console.log(`Loaded Page: ${currentTitle} (${current}/${total})`);
-    },
-  });
-
-  const filePath = path.resolve(
-    path.dirname(url.fileURLToPath(import.meta.url)),
-    "./example_data/notion_api/notion_page_response.json"
-  );
-
-  const pageDetails: PageObjectResponse = JSON.parse(
-    fs.readFileSync(filePath).toString()
-  );
-
-  // Accessing private class method
-  // eslint-disable-next-line dot-notation
-  const contents = loader["parsePageProperties"](pageDetails);
-
-  expect(contents.File).toBe('["MetaLumna Logo Square.png"]');
-  expect(contents.Number).toBe("1234");
-  expect(contents.Rollup).toBe("Unsupported type: rollup");
-  expect(contents.Status).toBe("In progress");
-  expect(contents["Multi-select"]).toBe('["Red", "Green", "Blue"]');
-  expect(contents.Select).toBe("Magenta");
-  expect(contents["Last edited time"]).toBe("2023-09-27T09:11:00.000Z");
-  expect(contents.Text).toBe(
-    "This is just some **text** with some formatting and new lines.\n" +
-      "\n" +
-      "_italic_\n" +
-      "**bold**\n" +
-      "`inline code`\n" +
-      "~~strike through~~"
-  );
-  expect(contents["Last edited by"]).toBe(
-    '["user", "c9b34ba3-5b62-4aa9-aae2-ed6024ffb0fd"]'
-  );
-  expect(contents["Related Example Database"]).toBe(
-    '["7d9d1b96-34fa-4da3-b70d-9f71a75e1291", "7a1c25f2-d8a7-46d9-a2da-c9e39e018a56", "67662914-f22b-47fd-98aa-19988c40c77d"]'
-  );
-  expect(contents["Created by"]).toBe(
-    '["user", "c9b34ba3-5b62-4aa9-aae2-ed6024ffb0fd"]'
-  );
-  expect(contents.Checkbox).toBe("true");
-  expect(contents.Formula).toBe("Unsupported type: formula");
-  expect(contents.Phone).toBe("555-1234");
-  expect(contents.Email).toBe("skarard@gmail.com");
-  expect(contents.URL).toBe("https://example.com");
-  expect(contents["Created time"]).toBe("2023-06-14T10:29:00.000Z");
-  expect(contents.ID).toBe("2");
-  expect(contents.Date).toBe(
-    "2023-08-09T00:00:00.000+01:00 - 2023-08-09T00:00:00.000+01:00"
-  );
-  expect(contents.Person).toBe(
-    '[["user", "c9b34ba3-5b62-4aa9-aae2-ed6024ffb0fd"], ["user", "9d6b0c60-efdd-48d1-b63e-027d9b7d66a0"]]'
-  );
-  expect(contents.Name).toBe("An example ~~page~~ in a database");
-  expect(contents._title).toBe("An example ~~page~~ in a database");
-});
-
-test("Get Title (page)", async () => {
-  const loader = new NotionAPILoader({
-    clientOptions: {
-      auth: process.env.NOTION_INTEGRATION_TOKEN,
-    },
-    id: process.env.NOTION_PAGE_ID ?? "",
-    // @eslint-disable-next-line/@typescript-eslint/ban-ts-comment
-    // @ts-expect-error unused var
-    onDocumentLoaded: (current, total, currentTitle) => {
-      // console.log(`Loaded Page: ${currentTitle} (${current}/${total})`);
-    },
-  });
-
-  const filePath = path.resolve(
-    path.dirname(url.fileURLToPath(import.meta.url)),
-    "./example_data/notion_api/notion_page_response.json"
-  );
-
-  const pageDetails: PageObjectResponse = JSON.parse(
-    fs.readFileSync(filePath).toString()
-  );
-
-  // Accessing private class method
-  // eslint-disable-next-line dot-notation
-  const title = loader["getTitle"](pageDetails);
-
-  expect(title).toBe("An example ~~page~~ in a database");
-});
-
-test("Get Title (database)", async () => {
-  const loader = new NotionAPILoader({
-    clientOptions: {
-      auth: process.env.NOTION_INTEGRATION_TOKEN,
-    },
-    id: process.env.NOTION_PAGE_ID ?? "",
-    // @eslint-disable-next-line/@typescript-eslint/ban-ts-comment
-    // @ts-expect-error unused var
-    onDocumentLoaded: (current, total, currentTitle) => {
-      // console.log(`Loaded Page: ${currentTitle} (${current}/${total})`);
-    },
-  });
-
-  const filePath = path.resolve(
-    path.dirname(url.fileURLToPath(import.meta.url)),
-    "./example_data/notion_api/notion_database_response.json"
-  );
-
-  const dbDetails: DatabaseObjectResponse = JSON.parse(
-    fs.readFileSync(filePath).toString()
-  );
-
-  // Accessing private class method
-  // eslint-disable-next-line dot-notation
-  const title = loader["getTitle"](dbDetails);
-
-  expect(title).toBe("Example ~~_**Database**_~~");
-});
diff --git a/langchain/src/document_loaders/tests/notiondb.int.test.ts b/langchain/src/document_loaders/tests/notiondb.int.test.ts
deleted file mode 100644
index 18c5cb59247e..000000000000
--- a/langchain/src/document_loaders/tests/notiondb.int.test.ts
+++ /dev/null
@@ -1,17 +0,0 @@
-/* eslint-disable no-process-env */
-/* eslint-disable @typescript-eslint/no-non-null-assertion */
-import { test } from "@jest/globals";
-
-import { NotionDBLoader } from "../web/notiondb.js";
-
-test.skip("Test NotionDBLoader", async () => {
-  const loader = new NotionDBLoader({
-    pageSizeLimit: 10,
-    notionApiVersion: "2022-06-28",
-    databaseId: process.env.NOTION_DATABASE_ID!,
-  });
-  // @eslint-disable-next-line/@typescript-eslint/ban-ts-comment
-  // @ts-expect-error unused var
-  const documents = await loader.load();
-  // console.log({ documents });
-});
diff --git a/langchain/src/document_loaders/tests/obsidian.test.ts b/langchain/src/document_loaders/tests/obsidian.test.ts
deleted file mode 100644
index 239b77f350b7..000000000000
--- a/langchain/src/document_loaders/tests/obsidian.test.ts
+++ /dev/null
@@ -1,191 +0,0 @@
-import { test, expect } from "@jest/globals";
-import * as url from "node:url";
-import * as path from "node:path";
-import { Document } from "@langchain/core/documents";
-import { ObsidianLoader } from "../fs/obsidian.js";
-
-const STANDARD_METADATA_FIELDS = [
-  "created",
-  "path",
-  "source",
-  "lastAccessed",
-  "lastModified",
-];
-
-const FRONTMATTER_FIELDS = [
-  "aBool",
-  "aFloat",
-  "anInt",
-  "anArray",
-  "aString",
-  "aDict",
-  "tags",
-];
-
-const DATAVIEW_FIELDS = ["dataview1", "dataview2", "dataview3"];
-
-const directoryPath = path.resolve(
-  path.dirname(url.fileURLToPath(import.meta.url)),
-  "./example_data/obsidian"
-);
-
-let docs: Document[];
-
-beforeAll(async () => {
-  const loader = new ObsidianLoader(directoryPath);
-  docs = await loader.load();
-});
-
-test("Test page content is loaded", async () => {
-  expect(docs.length).toBe(5);
-  docs.forEach((doc) => {
-    expect(doc.pageContent).toBeTruthy();
-  });
-});
-
-test("Test no additional metadata is collected if collectMetadata is false", async () => {
-  const noMetadataLoader = new ObsidianLoader(directoryPath, {
-    collectMetadata: false,
-  });
-  const noMetadataDocs = await noMetadataLoader.load();
-
-  expect(noMetadataDocs.length).toBe(5);
-  expect(
-    noMetadataDocs.every(
-      (doc) =>
-        Object.keys(doc.metadata).length ===
-          Object.keys(STANDARD_METADATA_FIELDS).length &&
-        Object.keys(doc.metadata).every((key) =>
-          STANDARD_METADATA_FIELDS.includes(key)
-        )
-    )
-  ).toBe(true);
-});
-
-test("Test docs without frontmatter still have basic metadata", async () => {
-  const doc = docs.find((doc) => doc.metadata.source === "no_metadata.md");
-
-  if (!doc) {
-    fail("'no_metadata.md' not found.");
-  }
-
-  expect(
-    Object.keys(doc.metadata).every((key) =>
-      STANDARD_METADATA_FIELDS.includes(key)
-    )
-  ).toBe(true);
-});
-
-test("Test standard frontmatter fields are loaded", async () => {
-  const doc = docs.find((doc) => doc.metadata.source === "frontmatter.md");
-
-  if (!doc) {
-    fail("'frontmatter.md' not found.");
-  }
-
-  expect(Object.keys(doc.metadata)).toEqual(
-    expect.arrayContaining(STANDARD_METADATA_FIELDS.concat("tags"))
-  );
-
-  const tagsSet = new Set(doc.metadata.tags?.split(","));
-  expect(tagsSet.has("journal/entry")).toBe(true);
-  expect(tagsSet.has("obsidian")).toBe(true);
-});
-
-test("Test a doc with non-yaml frontmatter still have basic metadata", async () => {
-  const doc = docs.find((doc) => doc.metadata.source === "bad_frontmatter.md");
-
-  if (!doc) {
-    fail("'bad_frontmatter.md' not found.");
-  }
-
-  expect(
-    Object.keys(doc.metadata).every((key) =>
-      STANDARD_METADATA_FIELDS.includes(key)
-    )
-  ).toBe(true);
-});
-
-test("Test a doc with frontmatter and tags/dataview tags are all added to metadata", () => {
-  const doc = docs.find(
-    (doc) => doc.metadata.source === "tags_and_frontmatter.md"
-  );
-
-  if (!doc) {
-    fail("'tags_and_frontmatter.md' not found.");
-  }
-
-  const expectedFields = [
-    ...STANDARD_METADATA_FIELDS,
-    ...FRONTMATTER_FIELDS,
-    ...DATAVIEW_FIELDS,
-  ];
-  expect(Object.keys(doc.metadata)).toEqual(
-    expect.arrayContaining(expectedFields)
-  );
-});
-
-test("Test float metadata is loaded correctly", () => {
-  const doc = docs.find(
-    (doc) => doc.metadata.source === "tags_and_frontmatter.md"
-  );
-
-  if (!doc) {
-    fail("Document 'tags_and_frontmatter.md' not found.");
-    return;
-  }
-
-  expect(doc.metadata.aFloat).toBe(13.12345);
-});
-
-test("Test int metadata is loaded correctly", () => {
-  const doc = docs.find(
-    (doc) => doc.metadata.source === "tags_and_frontmatter.md"
-  );
-
-  if (!doc) {
-    fail("Document 'tags_and_frontmatter.md' not found.");
-    return;
-  }
-
-  expect(doc.metadata.anInt).toBe(15);
-});
-
-test("Test string metadata is loaded correctly", () => {
-  const doc = docs.find(
-    (doc) => doc.metadata.source === "tags_and_frontmatter.md"
-  );
-
-  if (!doc) {
-    fail("Document 'tags_and_frontmatter.md' not found.");
-    return;
-  }
-
-  expect(doc.metadata.aString).toBe("string value");
-});
-
-test("Test array metadata is loaded as a string", () => {
-  const doc = docs.find(
-    (doc) => doc.metadata.source === "tags_and_frontmatter.md"
-  );
-
-  if (!doc) {
-    fail("Document 'tags_and_frontmatter.md' not found.");
-    return;
-  }
-
-  expect(doc.metadata.anArray).toBe('["one","two","three"]');
-});
-
-test("Test dict metadata is stored as a string", () => {
-  const doc = docs.find(
-    (doc) => doc.metadata.source === "tags_and_frontmatter.md"
-  );
-
-  if (!doc) {
-    fail("Document 'tags_and_frontmatter.md' not found.");
-    return;
-  }
-
-  expect(doc.metadata.aDict).toBe('{"dictId1":"58417","dictId2":1500}');
-});
diff --git a/langchain/src/document_loaders/tests/pdf-blob.test.ts b/langchain/src/document_loaders/tests/pdf-blob.test.ts
deleted file mode 100644
index 6537706c5976..000000000000
--- a/langchain/src/document_loaders/tests/pdf-blob.test.ts
+++ /dev/null
@@ -1,51 +0,0 @@
-import { test, expect } from "@jest/globals";
-import * as url from "node:url";
-import * as path from "node:path";
-import * as fs from "node:fs/promises";
-import { PDFLoader } from "../fs/pdf.js";
-
-test("Test PDF loader from blob", async () => {
-  const filePath = path.resolve(
-    path.dirname(url.fileURLToPath(import.meta.url)),
-    "./example_data/1706.03762.pdf"
-  );
-  const loader = new PDFLoader(
-    new Blob([await fs.readFile(filePath)], {
-      type: "application/pdf",
-    })
-  );
-  const docs = await loader.load();
-
-  expect(docs.length).toBe(15);
-  expect(docs[0].pageContent).toContain("Attention Is All You Need");
-  expect(docs[0].metadata).toMatchInlineSnapshot(`
-    {
-      "blobType": "application/pdf",
-      "loc": {
-        "pageNumber": 1,
-      },
-      "pdf": {
-        "info": {
-          "Author": "",
-          "CreationDate": "D:20171207010315Z",
-          "Creator": "LaTeX with hyperref package",
-          "IsAcroFormPresent": false,
-          "IsXFAPresent": false,
-          "Keywords": "",
-          "ModDate": "D:20171207010315Z",
-          "PDFFormatVersion": "1.5",
-          "Producer": "pdfTeX-1.40.17",
-          "Subject": "",
-          "Title": "",
-          "Trapped": {
-            "name": "False",
-          },
-        },
-        "metadata": null,
-        "totalPages": 15,
-        "version": "1.10.100",
-      },
-      "source": "blob",
-    }
-  `);
-});
diff --git a/langchain/src/document_loaders/tests/pdf.test.ts b/langchain/src/document_loaders/tests/pdf.test.ts
deleted file mode 100644
index 8656ba0787d0..000000000000
--- a/langchain/src/document_loaders/tests/pdf.test.ts
+++ /dev/null
@@ -1,39 +0,0 @@
-import { test, expect } from "@jest/globals";
-import * as url from "node:url";
-import * as path from "node:path";
-import { PDFLoader } from "../fs/pdf.js";
-
-test("Test PDF loader from file", async () => {
-  const filePath = path.resolve(
-    path.dirname(url.fileURLToPath(import.meta.url)),
-    "./example_data/1706.03762.pdf"
-  );
-  const loader = new PDFLoader(filePath);
-  const docs = await loader.load();
-
-  expect(docs.length).toBe(15);
-  expect(docs[0].pageContent).toContain("Attention Is All You Need");
-});
-
-test("Test PDF loader from file to single document", async () => {
-  const filePath = path.resolve(
-    path.dirname(url.fileURLToPath(import.meta.url)),
-    "./example_data/1706.03762.pdf"
-  );
-  const loader = new PDFLoader(filePath, { splitPages: false });
-  const docs = await loader.load();
-
-  expect(docs.length).toBe(1);
-  expect(docs[0].pageContent).toContain("Attention Is All You Need");
-});
-
-test("Test PDF loader should not create documents with excessive newlines", async () => {
-  const filePath = path.resolve(
-    path.dirname(url.fileURLToPath(import.meta.url)),
-    "./example_data/Jacob_Lee_Resume_2023.pdf"
-  );
-  const loader = new PDFLoader(filePath, { splitPages: false });
-  const docs = await loader.load();
-  expect(docs.length).toBe(1);
-  expect(docs[0].pageContent.split("\n").length).toBeLessThan(100);
-});
diff --git a/langchain/src/document_loaders/tests/playwright_web.int.test.ts b/langchain/src/document_loaders/tests/playwright_web.int.test.ts
deleted file mode 100644
index cd2a57ab1654..000000000000
--- a/langchain/src/document_loaders/tests/playwright_web.int.test.ts
+++ /dev/null
@@ -1,31 +0,0 @@
-import { expect, test } from "@jest/globals";
-import { PlaywrightWebBaseLoader } from "../web/playwright.js";
-
-test("Test playwright web scraper loader", async () => {
-  const loader = new PlaywrightWebBaseLoader("https://www.google.com/");
-  const result = await loader.load();
-
-  expect(result).toBeDefined();
-  expect(result.length).toBe(1);
-}, 20_000);
-
-test("Test playwright web scraper loader with evaluate options", async () => {
-  let nrTimesCalled = 0;
-  const loader = new PlaywrightWebBaseLoader("https://www.google.com/", {
-    launchOptions: {
-      headless: true,
-    },
-    gotoOptions: {
-      waitUntil: "domcontentloaded",
-    },
-    async evaluate(page) {
-      nrTimesCalled += 1;
-      return page.content();
-    },
-  });
-  const result = await loader.load();
-
-  expect(nrTimesCalled).toBe(1);
-  expect(result).toBeDefined();
-  expect(result.length).toBe(1);
-}, 20_000);
diff --git a/langchain/src/document_loaders/tests/pptx.test.ts b/langchain/src/document_loaders/tests/pptx.test.ts
deleted file mode 100644
index f6ede1c2762a..000000000000
--- a/langchain/src/document_loaders/tests/pptx.test.ts
+++ /dev/null
@@ -1,27 +0,0 @@
-import { expect, test } from "@jest/globals";
-import * as url from "node:url";
-import * as path from "node:path";
-import { PPTXLoader } from "../fs/pptx.js";
-
-test.skip("Test PowerPoint loader from file", async () => {
-  const filePath = path.resolve(
-    path.dirname(url.fileURLToPath(import.meta.url)),
-    "./example_data/theikuntest.pptx"
-  );
-  const loader = new PPTXLoader(filePath);
-  const docs = await loader.load();
-
-  expect(docs.length).toBe(1); // not much text in the example
-  expect(docs[0].pageContent).toContain("UTSC IS THE BEST");
-});
-
-test.skip("Test PowerPoint loader from empty powerpoint file", async () => {
-  const filePath = path.resolve(
-    path.dirname(url.fileURLToPath(import.meta.url)),
-    "./example_data/emptyfile.pptx"
-  );
-  const loader = new PPTXLoader(filePath);
-  const docs = await loader.load();
-
-  expect(docs.length).toBe(0); // not much text in the example
-});
diff --git a/langchain/src/document_loaders/tests/puppeteer.int.test.ts b/langchain/src/document_loaders/tests/puppeteer.int.test.ts
deleted file mode 100644
index 914be05e3d88..000000000000
--- a/langchain/src/document_loaders/tests/puppeteer.int.test.ts
+++ /dev/null
@@ -1,55 +0,0 @@
-import { expect, test } from "@jest/globals";
-import { PuppeteerWebBaseLoader } from "../web/puppeteer.js";
-
-test.skip("Test puppeteer web scraper loader", async () => {
-  const loader = new PuppeteerWebBaseLoader("https://www.google.com/");
-  const result = await loader.load();
-
-  expect(result).toBeDefined();
-  expect(result.length).toBe(1);
-}, 20_000);
-
-test.skip("Test puppeteer web scraper loader with evaluate options", async () => {
-  let nrTimesCalled = 0;
-  const loader = new PuppeteerWebBaseLoader("https://www.google.com/", {
-    launchOptions: {
-      headless: true,
-      ignoreDefaultArgs: ["--disable-extensions"],
-    },
-    gotoOptions: {
-      waitUntil: "domcontentloaded",
-    },
-    async evaluate(page) {
-      nrTimesCalled += 1;
-      return page.evaluate(() => document.body.innerHTML);
-    },
-  });
-  const result = await loader.load();
-
-  expect(nrTimesCalled).toBe(1);
-  expect(result).toBeDefined();
-  expect(result.length).toBe(1);
-}, 20_000);
-
-test.skip("Test puppeteer web scraper can screenshot page", async () => {
-  const loader = new PuppeteerWebBaseLoader("https://langchain.com/", {
-    launchOptions: {
-      headless: true,
-      ignoreDefaultArgs: ["--disable-extensions"],
-    },
-    gotoOptions: {
-      waitUntil: "domcontentloaded",
-    },
-  });
-  const screenshotDocument = await loader.screenshot();
-
-  expect(screenshotDocument.metadata.source).toBe("https://langchain.com/");
-  // verify screenshotDocument.pageContent is a base64 encoded string
-  expect(screenshotDocument.pageContent).toMatch(
-    /^([A-Za-z0-9+/]{4})*([A-Za-z0-9+/]{4}|[A-Za-z0-9+/]{3}=|[A-Za-z0-9+/]{2}==)$/
-  );
-  // Uncomment if you want to write the screenshot to a file
-  // await fs.writeFile("langchain.png", screenshotDocument.pageContent, {
-  //   encoding: "base64",
-  // });
-}, 20_000);
diff --git a/langchain/src/document_loaders/tests/recursive_url.int.test.ts b/langchain/src/document_loaders/tests/recursive_url.int.test.ts
deleted file mode 100644
index eb5f5c19ae4b..000000000000
--- a/langchain/src/document_loaders/tests/recursive_url.int.test.ts
+++ /dev/null
@@ -1,87 +0,0 @@
-/* eslint-disable no-process-env */
-/* eslint-disable @typescript-eslint/no-non-null-assertion */
-import { test } from "@jest/globals";
-import { compile } from "html-to-text";
-import { RecursiveUrlLoader } from "../web/recursive_url.js";
-
-describe("RecursiveUrlLoader", () => {
-  test("loading valid url", async () => {
-    const url = "https://js.langchain.com/v0.2/docs/introduction";
-
-    const compiledConvert = compile({ wordwrap: 130 }); // returns (input: string) => string;
-
-    const loader = new RecursiveUrlLoader(url, {
-      extractor: compiledConvert,
-      maxDepth: 1,
-      excludeDirs: ["https://js.langchain.com/docs/api/"],
-    });
-
-    const docs = await loader.load();
-    expect(docs.length).toBeGreaterThan(1);
-    expect(docs[0].pageContent).toContain("LangChain");
-  });
-
-  test("loading single page", async () => {
-    const url = "https://js.langchain.com/v0.2/docs/introduction";
-
-    const compiledConvert = compile({ wordwrap: 130 }); // returns (input: string) => string;
-
-    const loader = new RecursiveUrlLoader(url, {
-      extractor: compiledConvert,
-      maxDepth: 0,
-      excludeDirs: ["https://js.langchain.com/docs/api/"],
-    });
-
-    const docs = await loader.load();
-    expect(docs.length).toBe(1);
-    expect(docs[0].pageContent).toContain("LangChain");
-  });
-
-  test("loading invalid url", async () => {
-    const url = "https://this.url.is.invalid/this/is/a/test";
-    const loader = new RecursiveUrlLoader(url, {
-      maxDepth: 1,
-      preventOutside: true,
-    });
-    const docs = await loader.load();
-    expect(docs.length).toBe(0);
-  });
-
-  test("excludeDirs works for top-level calls", async () => {
-    const url = "https://js.langchain.com/docs/";
-    const compiledConvert = compile({ wordwrap: 130 });
-
-    const excludeDir = "https://js.langchain.com/docs/api/";
-
-    const loader = new RecursiveUrlLoader(url, {
-      extractor: compiledConvert,
-      maxDepth: 1,
-      excludeDirs: [excludeDir],
-    });
-
-    const docs = await loader.load();
-
-    expect(docs.some((doc) => doc.metadata.source.startsWith(excludeDir))).toBe(
-      false
-    );
-  });
-
-  test("excludeDirs works for recursive calls", async () => {
-    const url = "https://js.langchain.com/docs/";
-    const compiledConvert = compile({ wordwrap: 130 });
-
-    const excludeDir = "https://js.langchain.com/docs/api/";
-
-    const loader = new RecursiveUrlLoader(url, {
-      extractor: compiledConvert,
-      maxDepth: 2,
-      excludeDirs: [excludeDir],
-    });
-
-    const docs = await loader.load();
-
-    expect(docs.some((doc) => doc.metadata.source.startsWith(excludeDir))).toBe(
-      false
-    );
-  });
-});
diff --git a/langchain/src/document_loaders/tests/s3.int.test.ts b/langchain/src/document_loaders/tests/s3.int.test.ts
deleted file mode 100644
index d02db80b92c7..000000000000
--- a/langchain/src/document_loaders/tests/s3.int.test.ts
+++ /dev/null
@@ -1,60 +0,0 @@
-/* eslint-disable no-process-env */
-/* eslint-disable @typescript-eslint/no-non-null-assertion */
-import { test, jest, expect } from "@jest/globals";
-import S3Client from "@aws-sdk/client-s3";
-import * as fs from "node:fs";
-import * as path from "node:path";
-import { S3Loader } from "../web/s3.js";
-import { UnstructuredLoader } from "../fs/unstructured.js";
-
-const fsMock = {
-  ...fs,
-  mkdtempSync: jest.fn().mockReturnValue("tmp/s3fileloader-12345"),
-  mkdirSync: jest.fn().mockImplementation(() => {}),
-  // @eslint-disable-next-line/@typescript-eslint/ban-ts-comment
-  // @ts-expect-error unused var
-  writeFileSync: jest.fn().mockImplementation((path, data) => {
-    // console.log(`Writing "${(data as object).toString()}" to ${path}`);
-  }),
-};
-
-const UnstructuredLoaderMock = jest.fn().mockImplementation(() => ({
-  load: jest.fn().mockImplementation(() => ["fake document"]),
-}));
-
-test.skip("Test S3 loader", async () => {
-  if (!S3Client) {
-    // this is to avoid a linting error. S3Client is mocked above.
-  }
-
-  const loader = new S3Loader({
-    bucket: process.env.AWS_S3_BUCKET_NAME!,
-    key: process.env.AWS_S3_KEY!,
-    unstructuredAPIURL: "http://localhost:8000/general/v0/general",
-    unstructuredAPIKey: "",
-    fs: fsMock as typeof fs,
-    UnstructuredLoader: UnstructuredLoaderMock as typeof UnstructuredLoader,
-    s3Config: {
-      credentials: {
-        accessKeyId: process.env.AWS_ACCESS_KEY_ID!,
-        secretAccessKey: process.env.AWS_SECRET_ACCESS_KEY!,
-      },
-      region: process.env.AWS_REGION,
-    },
-  });
-
-  const result = await loader.load();
-  const unstructuredOptions = {
-    apiUrl: "http://localhost:8000/general/v0/general",
-    apiKey: "",
-  };
-
-  expect(fsMock.mkdtempSync).toHaveBeenCalled();
-  expect(fsMock.mkdirSync).toHaveBeenCalled();
-  expect(fsMock.writeFileSync).toHaveBeenCalled();
-  expect(UnstructuredLoaderMock).toHaveBeenCalledWith(
-    path.join("tmp", "s3fileloader-12345", "test.txt"),
-    unstructuredOptions
-  );
-  expect(result).toEqual(["fake document"]);
-});
diff --git a/langchain/src/document_loaders/tests/searchapi.test.ts b/langchain/src/document_loaders/tests/searchapi.test.ts
deleted file mode 100644
index 821a2f83f679..000000000000
--- a/langchain/src/document_loaders/tests/searchapi.test.ts
+++ /dev/null
@@ -1,41 +0,0 @@
-import { Document } from "@langchain/core/documents";
-import { SearchApiLoader } from "../web/searchapi.js";
-
-test("Test buildUrl method without engine", () => {
-  const loader = new SearchApiLoader({ apiKey: "ApiKey", q: "Query" });
-
-  expect(loader.buildUrl()).toBe(
-    "https://www.searchapi.io/api/v1/search?engine=google&api_key=ApiKey&q=Query"
-  );
-});
-
-test("Test buildUrl method with engine override", () => {
-  const loader = new SearchApiLoader({
-    engine: "google_news",
-    apiKey: "ApiKey",
-    q: "Query",
-  });
-
-  expect(loader.buildUrl()).toBe(
-    "https://www.searchapi.io/api/v1/search?engine=google_news&api_key=ApiKey&q=Query"
-  );
-});
-
-test("Test processResponseData method", () => {
-  const loader = new SearchApiLoader({ apiKey: "ApiKey", q: "Query" });
-
-  const data = {
-    answer_box: { type: "organic_result", answer: "1918" },
-  };
-
-  const documents = loader.processResponseData(data);
-  expect(documents).toHaveLength(1);
-
-  const document = documents[0];
-  expect(document).toBeInstanceOf(Document);
-  expect(document.pageContent).toBe(JSON.stringify(data.answer_box));
-  expect(document.metadata).toEqual({
-    source: "SearchApi",
-    responseType: "answer_box",
-  });
-});
diff --git a/langchain/src/document_loaders/tests/serpapi.test.ts b/langchain/src/document_loaders/tests/serpapi.test.ts
deleted file mode 100644
index 54b0d10e87d4..000000000000
--- a/langchain/src/document_loaders/tests/serpapi.test.ts
+++ /dev/null
@@ -1,29 +0,0 @@
-import { Document } from "@langchain/core/documents";
-import { SerpAPILoader } from "../web/serpapi.js";
-
-test("Test buildUrl method", () => {
-  const loader = new SerpAPILoader({ q: "testQuery", apiKey: "testApiKey" });
-
-  expect(loader.buildUrl()).toBe(
-    "https://serpapi.com/search?api_key=testApiKey&q=testQuery"
-  );
-});
-
-test("Test processResponseData method", () => {
-  const loader = new SerpAPILoader({ q: "testQuery", apiKey: "testApiKey" });
-
-  const data = {
-    answer_box: { type: "calculator_result", result: "3.141592653589793" },
-  };
-
-  const documents = loader.processResponseData(data);
-  expect(documents).toHaveLength(1);
-
-  const document = documents[0];
-  expect(document).toBeInstanceOf(Document);
-  expect(document.pageContent).toBe(JSON.stringify(data.answer_box));
-  expect(document.metadata).toEqual({
-    source: "SerpAPI",
-    responseType: "answer_box",
-  });
-});
diff --git a/langchain/src/document_loaders/tests/sitemap.int.test.ts b/langchain/src/document_loaders/tests/sitemap.int.test.ts
deleted file mode 100644
index 1cc1d3f15a0b..000000000000
--- a/langchain/src/document_loaders/tests/sitemap.int.test.ts
+++ /dev/null
@@ -1,36 +0,0 @@
-import { test } from "@jest/globals";
-import { SitemapLoader } from "../web/sitemap.js";
-
-test("SitemapLoader", async () => {
-  const regexFailIfNotJsLangChain = /^https:\/\/js\.langchain\.com\//;
-  const regexContainsToolsDynamic = /tools\/dynamic/;
-
-  // Filter our 1 bad url (has since been fixed in vercel, but keep the test!)
-  const loader = new SitemapLoader("https://js.langchain.com/", {
-    filterUrls: [regexFailIfNotJsLangChain, regexContainsToolsDynamic],
-  });
-
-  const docs = await loader.load();
-  expect(docs.length).toBeGreaterThan(0);
-});
-
-test("checkUrlPatterns can properly identify unwanted links", async () => {
-  const links = [
-    "https://js.langchain.com/docs/use_cases/agent_simulations/",
-    "https://js.langchain.com/docs/use_cases/agent_simulations/generative_agents",
-    "https://js.langchain.com/docs/integrations/platforms/google",
-    "https://js.langchain.com/docs/integrations/vectorstores/analyticdb",
-    "https://js.langchain.com/docs/expression_language/interface",
-    "https://js.langchain.com/docs/modules/data_connection/",
-  ];
-
-  const linkRegex =
-    /^(https:\/\/js\.langchain\.com\/docs\/use_cases)|.*interface$/;
-
-  const loader = new SitemapLoader("https://www.langchain.com/", {
-    filterUrls: [linkRegex.source],
-  });
-
-  const matches = links.map((link) => loader._checkUrlPatterns(link));
-  expect(matches).toEqual([true, true, false, false, true, false]);
-});
diff --git a/langchain/src/document_loaders/tests/sonix_audio.int.test.ts b/langchain/src/document_loaders/tests/sonix_audio.int.test.ts
deleted file mode 100644
index 80f5cac65b80..000000000000
--- a/langchain/src/document_loaders/tests/sonix_audio.int.test.ts
+++ /dev/null
@@ -1,70 +0,0 @@
-/* eslint-disable @typescript-eslint/no-explicit-any */
-import { test, jest, expect } from "@jest/globals";
-import { SonixSpeechRecognitionService } from "sonix-speech-recognition";
-import {
-  SpeechToTextRequest,
-  SpeechToTextResponse,
-} from "sonix-speech-recognition/lib/types.js";
-import { SonixAudioTranscriptionLoader } from "../web/sonix_audio.js";
-
-jest.mock("sonix-speech-recognition");
-
-describe("SonixAudioTranscriptionLoader", () => {
-  let sonixSpeechRecognitionService: SonixSpeechRecognitionService;
-  let speechToTextRequest: SpeechToTextRequest;
-  let sonixAudioTranscriptionLoader: SonixAudioTranscriptionLoader;
-
-  beforeEach(() => {
-    sonixSpeechRecognitionService = new SonixSpeechRecognitionService(
-      "auth-key"
-    );
-    speechToTextRequest = {
-      fileName: "test.mp3",
-      language: "en",
-      audioFilePath: "./test.mp3",
-    };
-    sonixAudioTranscriptionLoader = new SonixAudioTranscriptionLoader({
-      sonixAuthKey: "auth-key",
-      request: speechToTextRequest,
-    });
-    (sonixAudioTranscriptionLoader as any).sonixSpeechRecognitionService =
-      sonixSpeechRecognitionService;
-  });
-
-  test("should initialize properly", () => {
-    expect(sonixAudioTranscriptionLoader).toBeDefined();
-  });
-
-  describe("load", () => {
-    test("should return a document when transcription is successful", async () => {
-      const response: SpeechToTextResponse = {
-        jobId: "job-id",
-        text: "test transcription",
-        status: "completed",
-      };
-      sonixSpeechRecognitionService.speechToText = jest
-        .fn<() => Promise<SpeechToTextResponse>>()
-        .mockResolvedValue(response);
-
-      const documents = await sonixAudioTranscriptionLoader.load();
-
-      expect(documents).toHaveLength(1);
-      expect(documents[0].pageContent).toBe(response.text);
-      expect(documents[0].metadata.fileName).toBe(speechToTextRequest.fileName);
-    });
-
-    test("should throw when transcription fails", async () => {
-      const response: SpeechToTextResponse = {
-        jobId: "job-id",
-        text: "",
-        status: "failed",
-        error: "Error message",
-      };
-      sonixSpeechRecognitionService.speechToText = jest
-        .fn<() => Promise<SpeechToTextResponse>>()
-        .mockResolvedValue(response);
-
-      await expect(sonixAudioTranscriptionLoader.load()).rejects.toThrow();
-    });
-  });
-});
diff --git a/langchain/src/document_loaders/tests/sort_xyz_blockchain.int.test.ts b/langchain/src/document_loaders/tests/sort_xyz_blockchain.int.test.ts
deleted file mode 100644
index 3b42e6468c9a..000000000000
--- a/langchain/src/document_loaders/tests/sort_xyz_blockchain.int.test.ts
+++ /dev/null
@@ -1,52 +0,0 @@
-import { test } from "@jest/globals";
-import { SortXYZBlockchainLoader } from "../web/sort_xyz_blockchain.js";
-
-const SORT_XYZ_DEMO_API_KEY = "dd46a0ae-5a1a-4c6f-8328-46618c4a73d4";
-const contractAddress =
-  "0x887F3909C14DAbd9e9510128cA6cBb448E932d7f".toLowerCase();
-
-test.skip("Test Blockchain NFT Metadata Loader", async () => {
-  const nftMetadataLoader = new SortXYZBlockchainLoader({
-    apiKey: SORT_XYZ_DEMO_API_KEY,
-    query: {
-      type: "NFTMetadata",
-      blockchain: "ethereum",
-      contractAddress,
-      limit: 3,
-    },
-  });
-
-  // @eslint-disable-next-line/@typescript-eslint/ban-ts-comment
-  // @ts-expect-error unused var
-  const response = await nftMetadataLoader.load();
-  // console.log(response);
-});
-
-test.skip("Test Blockchain Latest Transactions Loader", async () => {
-  const latestTransactionsLoader = new SortXYZBlockchainLoader({
-    apiKey: SORT_XYZ_DEMO_API_KEY,
-    query: {
-      type: "latestTransactions",
-      blockchain: "ethereum",
-      contractAddress,
-      limit: 3,
-    },
-  });
-
-  // @eslint-disable-next-line/@typescript-eslint/ban-ts-comment
-  // @ts-expect-error unused var
-  const response = await latestTransactionsLoader.load();
-  // console.log(response);
-});
-
-test.skip("Test Blockchain SQL Query Loader", async () => {
-  const sqlQueryLoader = new SortXYZBlockchainLoader({
-    apiKey: SORT_XYZ_DEMO_API_KEY,
-    query: `SELECT * FROM ethereum.nft_metadata WHERE contract_address = '${contractAddress}' AND token_id = 1 LIMIT 1`,
-  });
-
-  // @eslint-disable-next-line/@typescript-eslint/ban-ts-comment
-  // @ts-expect-error unused var
-  const response = await sqlQueryLoader.load();
-  // console.log(response);
-});
diff --git a/langchain/src/document_loaders/tests/srt-blob.test.ts b/langchain/src/document_loaders/tests/srt-blob.test.ts
deleted file mode 100644
index e59956297c8e..000000000000
--- a/langchain/src/document_loaders/tests/srt-blob.test.ts
+++ /dev/null
@@ -1,24 +0,0 @@
-import * as url from "node:url";
-import * as path from "node:path";
-import * as fs from "node:fs/promises";
-import { test, expect } from "@jest/globals";
-import { SRTLoader } from "../fs/srt.js";
-
-test("Test SRT loader from blob", async () => {
-  const filePath = path.resolve(
-    path.dirname(url.fileURLToPath(import.meta.url)),
-    "./example_data/Star_Wars_The_Clone_Wars_S06E07_Crisis_at_the_Heart.srt"
-  );
-  const loader = new SRTLoader(
-    new Blob([await fs.readFile(filePath)], { type: "application/x-subrip" })
-  );
-  const docs = await loader.load();
-  expect(docs.length).toBe(1);
-  expect(docs[0].metadata).toMatchInlineSnapshot(`
-    {
-      "blobType": "application/x-subrip",
-      "source": "blob",
-    }
-  `);
-  expect(docs[0].pageContent).toContain("Corruption discovered");
-});
diff --git a/langchain/src/document_loaders/tests/srt.test.ts b/langchain/src/document_loaders/tests/srt.test.ts
deleted file mode 100644
index 7a214716055a..000000000000
--- a/langchain/src/document_loaders/tests/srt.test.ts
+++ /dev/null
@@ -1,20 +0,0 @@
-import * as url from "node:url";
-import * as path from "node:path";
-import { test, expect } from "@jest/globals";
-import { SRTLoader } from "../fs/srt.js";
-
-test("Test SRT loader from file", async () => {
-  const filePath = path.resolve(
-    path.dirname(url.fileURLToPath(import.meta.url)),
-    "./example_data/Star_Wars_The_Clone_Wars_S06E07_Crisis_at_the_Heart.srt"
-  );
-  const loader = new SRTLoader(filePath);
-  const docs = await loader.load();
-  expect(docs.length).toBe(1);
-  expect(docs[0].metadata).toMatchInlineSnapshot(`
-    {
-      "source": "${filePath}",
-    }
-  `);
-  expect(docs[0].pageContent).toContain("Corruption discovered");
-});
diff --git a/langchain/src/document_loaders/tests/unstructured.int.test.ts b/langchain/src/document_loaders/tests/unstructured.int.test.ts
deleted file mode 100644
index b0b0712118a6..000000000000
--- a/langchain/src/document_loaders/tests/unstructured.int.test.ts
+++ /dev/null
@@ -1,100 +0,0 @@
-/* eslint-disable no-process-env */
-/* eslint-disable @typescript-eslint/no-non-null-assertion */
-
-import * as url from "node:url";
-import * as path from "node:path";
-import { readFile } from "node:fs/promises";
-import { test, expect } from "@jest/globals";
-import {
-  UnstructuredDirectoryLoader,
-  UnstructuredLoader,
-  UnknownHandling,
-} from "../fs/unstructured.js";
-
-test.skip("Test Unstructured base loader", async () => {
-  const filePath = path.resolve(
-    path.dirname(url.fileURLToPath(import.meta.url)),
-    "./example_data/example.txt"
-  );
-
-  const options = {
-    apiKey: process.env.UNSTRUCTURED_API_KEY!,
-  };
-
-  const loader = new UnstructuredLoader(filePath, options);
-  const docs = await loader.load();
-
-  expect(docs.length).toBe(3);
-  for (const doc of docs) {
-    expect(typeof doc.pageContent).toBe("string");
-  }
-});
-
-test.skip("Test Unstructured base loader with buffer", async () => {
-  const filePath = path.resolve(
-    path.dirname(url.fileURLToPath(import.meta.url)),
-    "./example_data/example.txt"
-  );
-
-  const options = {
-    apiKey: process.env.UNSTRUCTURED_API_KEY!,
-  };
-
-  const buffer = await readFile(filePath);
-  const fileName = "example.txt";
-
-  const loader = new UnstructuredLoader(
-    {
-      buffer,
-      fileName,
-    },
-    options
-  );
-  const docs = await loader.load();
-
-  expect(docs.length).toBe(3);
-  for (const doc of docs) {
-    expect(typeof doc.pageContent).toBe("string");
-  }
-});
-
-test.skip("Test Unstructured base loader with fast strategy", async () => {
-  const filePath = path.resolve(
-    path.dirname(url.fileURLToPath(import.meta.url)),
-    "./example_data/1706.03762.pdf"
-  );
-
-  const options = {
-    apiKey: process.env.UNSTRUCTURED_API_KEY!,
-    strategy: "fast",
-  };
-
-  const loader = new UnstructuredLoader(filePath, options);
-  const docs = await loader.load();
-
-  expect(docs.length).toBeGreaterThan(10);
-  expect(typeof docs[0].pageContent).toBe("string");
-});
-
-test.skip("Test Unstructured directory loader", async () => {
-  const directoryPath = path.resolve(
-    path.dirname(url.fileURLToPath(import.meta.url)),
-    "./example_data"
-  );
-
-  const options = {
-    apiKey: process.env.UNSTRUCTURED_API_KEY!,
-    strategy: "fast",
-  };
-
-  const loader = new UnstructuredDirectoryLoader(
-    directoryPath,
-    options,
-    true,
-    UnknownHandling.Ignore
-  );
-  const docs = await loader.load();
-
-  expect(docs.length).toBeGreaterThan(100);
-  expect(typeof docs[0].pageContent).toBe("string");
-});
diff --git a/langchain/src/document_loaders/tests/webpdf.int.test.ts b/langchain/src/document_loaders/tests/webpdf.int.test.ts
deleted file mode 100644
index d6cc75d9f394..000000000000
--- a/langchain/src/document_loaders/tests/webpdf.int.test.ts
+++ /dev/null
@@ -1,113 +0,0 @@
-import { test, expect } from "@jest/globals";
-import * as url from "node:url";
-import * as path from "node:path";
-import * as fs from "node:fs/promises";
-import { WebPDFLoader } from "../web/pdf.js";
-
-test("Test Web PDF loader from blob", async () => {
-  const filePath = path.resolve(
-    path.dirname(url.fileURLToPath(import.meta.url)),
-    "./example_data/1706.03762.pdf"
-  );
-  const loader = new WebPDFLoader(
-    new Blob([await fs.readFile(filePath)], {
-      type: "application/pdf",
-    })
-  );
-  const docs = await loader.load();
-
-  expect(docs.length).toBe(15);
-  expect(docs[0].pageContent).toContain("Attention Is All You Need");
-  expect(docs[0].metadata).toMatchInlineSnapshot(`
-    {
-      "loc": {
-        "pageNumber": 1,
-      },
-      "pdf": {
-        "info": {
-          "Author": "",
-          "CreationDate": "D:20171207010315Z",
-          "Creator": "LaTeX with hyperref package",
-          "IsAcroFormPresent": false,
-          "IsXFAPresent": false,
-          "Keywords": "",
-          "ModDate": "D:20171207010315Z",
-          "PDFFormatVersion": "1.5",
-          "Producer": "pdfTeX-1.40.17",
-          "Subject": "",
-          "Title": "",
-          "Trapped": {
-            "name": "False",
-          },
-        },
-        "metadata": null,
-        "totalPages": 15,
-        "version": "1.10.100",
-      },
-    }
-  `);
-});
-
-test("Test Web PDF loader with custom pdfjs", async () => {
-  const filePath = path.resolve(
-    path.dirname(url.fileURLToPath(import.meta.url)),
-    "./example_data/1706.03762.pdf"
-  );
-  const loader = new WebPDFLoader(
-    new Blob([await fs.readFile(filePath)], {
-      type: "application/pdf",
-    }),
-    {
-      pdfjs: () => import("pdf-parse/lib/pdf.js/v1.10.100/build/pdf.js"),
-    }
-  );
-  const docs = await loader.load();
-
-  expect(docs.length).toBe(15);
-  expect(docs[0].pageContent).toContain("Attention Is All You Need");
-  expect(docs[0].metadata).toMatchInlineSnapshot(`
-    {
-      "loc": {
-        "pageNumber": 1,
-      },
-      "pdf": {
-        "info": {
-          "Author": "",
-          "CreationDate": "D:20171207010315Z",
-          "Creator": "LaTeX with hyperref package",
-          "IsAcroFormPresent": false,
-          "IsXFAPresent": false,
-          "Keywords": "",
-          "ModDate": "D:20171207010315Z",
-          "PDFFormatVersion": "1.5",
-          "Producer": "pdfTeX-1.40.17",
-          "Subject": "",
-          "Title": "",
-          "Trapped": {
-            "name": "False",
-          },
-        },
-        "metadata": null,
-        "totalPages": 15,
-        "version": "1.10.100",
-      },
-    }
-  `);
-});
-
-test("Test Web PDF loader lines", async () => {
-  const filePath = path.resolve(
-    path.dirname(url.fileURLToPath(import.meta.url)),
-    "./example_data/Jacob_Lee_Resume_2023.pdf"
-  );
-  const loader = new WebPDFLoader(
-    new Blob([await fs.readFile(filePath)], {
-      type: "application/pdf",
-    }),
-    { splitPages: false }
-  );
-  const docs = await loader.load();
-
-  expect(docs.length).toBe(1);
-  expect(docs[0].pageContent.split("\n").length).toBeLessThan(100);
-});
diff --git a/langchain/src/document_loaders/web/apify_dataset.ts b/langchain/src/document_loaders/web/apify_dataset.ts
deleted file mode 100644
index b03828d30e36..000000000000
--- a/langchain/src/document_loaders/web/apify_dataset.ts
+++ /dev/null
@@ -1,183 +0,0 @@
-/* eslint-disable @typescript-eslint/no-explicit-any */
-
-import {
-  ActorCallOptions,
-  ApifyClient,
-  ApifyClientOptions,
-  TaskCallOptions,
-} from "apify-client";
-
-import { Document } from "@langchain/core/documents";
-import {
-  AsyncCaller,
-  AsyncCallerParams,
-} from "@langchain/core/utils/async_caller";
-import { getEnvironmentVariable } from "@langchain/core/utils/env";
-import { BaseDocumentLoader, DocumentLoader } from "../base.js";
-import { logVersion020MigrationWarning } from "../../util/entrypoint_deprecation.js";
-
-/* #__PURE__ */ logVersion020MigrationWarning({
-  oldEntrypointName: "document_loaders/web/apify_dataset",
-  newPackageName: "@langchain/community",
-});
-
-/**
- * @deprecated - Import from "@langchain/community/document_loaders/web/apify_dataset" instead. This entrypoint will be removed in 0.3.0.
- * A type that represents a function that takes a single object (an Apify
- * dataset item) and converts it to an instance of the Document class.
- *
- * Change function signature to only be asynchronous for simplicity in v0.1.0
- * https://github.com/langchain-ai/langchainjs/pull/3262
- */
-export type ApifyDatasetMappingFunction<Metadata extends Record<string, any>> =
-  (
-    item: Record<string | number, unknown>
-  ) =>
-    | Document<Metadata>
-    | Array<Document<Metadata>>
-    | Promise<Document<Metadata> | Array<Document<Metadata>>>;
-
-export interface ApifyDatasetLoaderConfig<Metadata extends Record<string, any>>
-  extends AsyncCallerParams {
-  datasetMappingFunction: ApifyDatasetMappingFunction<Metadata>;
-  clientOptions?: ApifyClientOptions;
-}
-
-/**
- * @deprecated - Import from "@langchain/community/document_loaders/web/apify_dataset" instead. This entrypoint will be removed in 0.3.0.
- * A class that extends the BaseDocumentLoader and implements the
- * DocumentLoader interface. It represents a document loader that loads
- * documents from an Apify dataset.
- * @example
- * ```typescript
- * const loader = new ApifyDatasetLoader("your-dataset-id", {
- *   datasetMappingFunction: (item) =>
- *     new Document({
- *       pageContent: item.text || "",
- *       metadata: { source: item.url },
- *     }),
- *   clientOptions: {
- *     token: "your-apify-token",
- *   },
- * });
- *
- * const docs = await loader.load();
- *
- * const chain = new RetrievalQAChain();
- * const res = await chain.invoke({ query: "What is LangChain?" });
- *
- * console.log(res.text);
- * console.log(res.sourceDocuments.map((d) => d.metadata.source));
- * ```
- */
-export class ApifyDatasetLoader<Metadata extends Record<string, any>>
-  extends BaseDocumentLoader
-  implements DocumentLoader
-{
-  protected apifyClient: ApifyClient;
-
-  protected datasetId: string;
-
-  protected datasetMappingFunction: ApifyDatasetMappingFunction<Metadata>;
-
-  protected caller: AsyncCaller;
-
-  constructor(datasetId: string, config: ApifyDatasetLoaderConfig<Metadata>) {
-    super();
-    const { clientOptions, datasetMappingFunction, ...asyncCallerParams } =
-      config;
-    const token = ApifyDatasetLoader._getApifyApiToken(clientOptions);
-    this.apifyClient = new ApifyClient({ ...clientOptions, token });
-    this.datasetId = datasetId;
-    this.datasetMappingFunction = datasetMappingFunction;
-    this.caller = new AsyncCaller(asyncCallerParams);
-  }
-
-  private static _getApifyApiToken(config?: { token?: string }) {
-    return config?.token ?? getEnvironmentVariable("APIFY_API_TOKEN");
-  }
-
-  /**
-   * Retrieves the dataset items from the Apify platform and applies the
-   * datasetMappingFunction to each item to create an array of Document
-   * instances.
-   * @returns An array of Document instances.
-   */
-  async load(): Promise<Document<Metadata>[]> {
-    const dataset = await this.apifyClient
-      .dataset(this.datasetId)
-      .listItems({ clean: true });
-
-    const documentList = await Promise.all(
-      dataset.items.map((item) =>
-        this.caller.call(async () => this.datasetMappingFunction(item))
-      )
-    );
-
-    return documentList.flat();
-  }
-
-  /**
-   * Create an ApifyDatasetLoader by calling an Actor on the Apify platform and waiting for its results to be ready.
-   * @param actorId The ID or name of the Actor on the Apify platform.
-   * @param input The input object of the Actor that you're trying to run.
-   * @param options Options specifying settings for the Actor run.
-   * @param options.datasetMappingFunction A function that takes a single object (an Apify dataset item) and converts it to an instance of the Document class.
-   * @returns An instance of `ApifyDatasetLoader` with the results from the Actor run.
-   */
-  static async fromActorCall<Metadata extends Record<string, any>>(
-    actorId: string,
-    input: Record<string | number, unknown>,
-    config: {
-      callOptions?: ActorCallOptions;
-      clientOptions?: ApifyClientOptions;
-      datasetMappingFunction: ApifyDatasetMappingFunction<Metadata>;
-    }
-  ): Promise<ApifyDatasetLoader<Metadata>> {
-    const apifyApiToken = ApifyDatasetLoader._getApifyApiToken(
-      config.clientOptions
-    );
-    const apifyClient = new ApifyClient({ token: apifyApiToken });
-
-    const actorCall = await apifyClient
-      .actor(actorId)
-      .call(input, config.callOptions ?? {});
-
-    return new ApifyDatasetLoader(actorCall.defaultDatasetId, {
-      datasetMappingFunction: config.datasetMappingFunction,
-      clientOptions: { ...config.clientOptions, token: apifyApiToken },
-    });
-  }
-
-  /**
-   * Create an ApifyDatasetLoader by calling a saved Actor task on the Apify platform and waiting for its results to be ready.
-   * @param taskId The ID or name of the task on the Apify platform.
-   * @param input The input object of the task that you're trying to run. Overrides the task's saved input.
-   * @param options Options specifying settings for the task run.
-   * @param options.datasetMappingFunction A function that takes a single object (an Apify dataset item) and converts it to an instance of the Document class.
-   * @returns An instance of `ApifyDatasetLoader` with the results from the task's run.
-   */
-  static async fromActorTaskCall<Metadata extends Record<string, any>>(
-    taskId: string,
-    input: Record<string | number, unknown>,
-    config: {
-      callOptions?: TaskCallOptions;
-      clientOptions?: ApifyClientOptions;
-      datasetMappingFunction: ApifyDatasetMappingFunction<Metadata>;
-    }
-  ): Promise<ApifyDatasetLoader<Metadata>> {
-    const apifyApiToken = ApifyDatasetLoader._getApifyApiToken(
-      config.clientOptions
-    );
-    const apifyClient = new ApifyClient({ token: apifyApiToken });
-
-    const taskCall = await apifyClient
-      .task(taskId)
-      .call(input, config.callOptions ?? {});
-
-    return new ApifyDatasetLoader(taskCall.defaultDatasetId, {
-      datasetMappingFunction: config.datasetMappingFunction,
-      clientOptions: { ...config.clientOptions, token: apifyApiToken },
-    });
-  }
-}
diff --git a/langchain/src/document_loaders/web/assemblyai.ts b/langchain/src/document_loaders/web/assemblyai.ts
deleted file mode 100644
index db4eeae6e792..000000000000
--- a/langchain/src/document_loaders/web/assemblyai.ts
+++ /dev/null
@@ -1,244 +0,0 @@
-import {
-  AssemblyAI,
-  BaseServiceParams,
-  TranscribeParams,
-  SubtitleFormat,
-  Transcript,
-  TranscriptParagraph,
-  TranscriptSentence,
-  CreateTranscriptParameters,
-} from "assemblyai";
-import { Document } from "@langchain/core/documents";
-import { getEnvironmentVariable } from "@langchain/core/utils/env";
-import { BaseDocumentLoader } from "../base.js";
-import { AssemblyAIOptions } from "../../types/assemblyai-types.js";
-import { logVersion020MigrationWarning } from "../../util/entrypoint_deprecation.js";
-
-/* #__PURE__ */ logVersion020MigrationWarning({
-  oldEntrypointName: "document_loaders/web/assemblyai",
-  newPackageName: "@langchain/community",
-});
-
-export type * from "../../types/assemblyai-types.js";
-
-const defaultOptions = {
-  userAgent: {
-    integration: { name: "LangChainJS", version: "1.0.1" },
-  },
-};
-
-/**
- * @deprecated
- * Base class for AssemblyAI loaders.
- */
-abstract class AssemblyAILoader extends BaseDocumentLoader {
-  protected client: AssemblyAI;
-
-  /**
-   * Create a new AssemblyAI loader.
-   * @param assemblyAIOptions The options to configure the AssemblyAI loader.
-   * Configure the `assemblyAIOptions.apiKey` with your AssemblyAI API key, or configure it as the `ASSEMBLYAI_API_KEY` environment variable.
-   */
-  constructor(assemblyAIOptions?: AssemblyAIOptions) {
-    super();
-    let options = assemblyAIOptions;
-    if (!options) {
-      options = {};
-    }
-    if (!options.apiKey) {
-      options.apiKey = getEnvironmentVariable("ASSEMBLYAI_API_KEY");
-    }
-    if (!options.apiKey) {
-      throw new Error("No AssemblyAI API key provided");
-    }
-
-    this.client = new AssemblyAI({
-      ...defaultOptions,
-      ...options,
-    } as BaseServiceParams);
-  }
-}
-
-/**
- * @deprecated
- */
-abstract class CreateTranscriptLoader extends AssemblyAILoader {
-  protected transcribeParams?: TranscribeParams | CreateTranscriptParameters;
-
-  protected transcriptId?: string;
-
-  /**
-   * Transcribe audio or retrieve an existing transcript by its ID.
-   * @param params The parameters to transcribe audio, or the ID of the transcript to retrieve.
-   * @param assemblyAIOptions The options to configure the AssemblyAI loader.
-   * Configure the `assemblyAIOptions.apiKey` with your AssemblyAI API key, or configure it as the `ASSEMBLYAI_API_KEY` environment variable.
-   */
-  constructor(
-    params: TranscribeParams | CreateTranscriptParameters | string,
-    assemblyAIOptions?: AssemblyAIOptions
-  ) {
-    super(assemblyAIOptions);
-    if (typeof params === "string") {
-      this.transcriptId = params;
-    } else {
-      this.transcribeParams = params;
-    }
-  }
-
-  protected async transcribeOrGetTranscript() {
-    if (this.transcriptId) {
-      return await this.client.transcripts.get(this.transcriptId);
-    }
-    if (this.transcribeParams) {
-      let transcribeParams: TranscribeParams;
-      if ("audio_url" in this.transcribeParams) {
-        transcribeParams = {
-          ...this.transcribeParams,
-          audio: this.transcribeParams.audio_url,
-        };
-      } else {
-        transcribeParams = this.transcribeParams;
-      }
-
-      return await this.client.transcripts.transcribe(transcribeParams);
-    } else {
-      throw new Error("No transcript ID or transcribe parameters provided");
-    }
-  }
-}
-
-/**
- * @deprecated - Import from "@langchain/community/document_loaders/web/assemblyai" instead. This entrypoint will be removed in 0.3.0.
- * Transcribe audio and load the transcript as a document using AssemblyAI.
- */
-export class AudioTranscriptLoader extends CreateTranscriptLoader {
-  /**
-   * Transcribe audio and load the transcript as a document using AssemblyAI.
-   * @returns A promise that resolves to a single document containing the transcript text
-   * as the page content, and the transcript object as the metadata.
-   */
-  override async load(): Promise<Document<Transcript>[]> {
-    const transcript = await this.transcribeOrGetTranscript();
-
-    return [
-      new Document({
-        pageContent: transcript.text as string,
-        metadata: transcript,
-      }),
-    ];
-  }
-}
-
-/**
- * @deprecated - Import from "@langchain/community/document_loaders/web/assemblyai" instead. This entrypoint will be removed in 0.3.0.
- * Transcribe audio and load the paragraphs of the transcript, creating a document for each paragraph.
- */
-export class AudioTranscriptParagraphsLoader extends CreateTranscriptLoader {
-  /**
-   * Transcribe audio and load the paragraphs of the transcript, creating a document for each paragraph.
-   * @returns A promise that resolves to an array of documents, each containing a paragraph of the transcript.
-   */
-  override async load(): Promise<Document<TranscriptParagraph>[]> {
-    const transcript = await this.transcribeOrGetTranscript();
-    const paragraphsResponse = await this.client.transcripts.paragraphs(
-      transcript.id
-    );
-    return paragraphsResponse.paragraphs.map(
-      (p: TranscriptParagraph) =>
-        new Document({
-          pageContent: p.text,
-          metadata: p,
-        })
-    );
-  }
-}
-
-/**
- * @deprecated - Import from "@langchain/community/document_loaders/web/assemblyai" instead. This entrypoint will be removed in 0.3.0.
- * Transcribe audio and load the sentences of the transcript, creating a document for each sentence.
- */
-export class AudioTranscriptSentencesLoader extends CreateTranscriptLoader {
-  /**
-   * Transcribe audio and load the sentences of the transcript, creating a document for each sentence.
-   * @returns A promise that resolves to an array of documents, each containing a sentence of the transcript.
-   */
-  override async load(): Promise<Document<TranscriptSentence>[]> {
-    const transcript = await this.transcribeOrGetTranscript();
-    const sentencesResponse = await this.client.transcripts.sentences(
-      transcript.id
-    );
-    return sentencesResponse.sentences.map(
-      (p: TranscriptSentence) =>
-        new Document({
-          pageContent: p.text,
-          metadata: p,
-        })
-    );
-  }
-}
-
-/**
- * @deprecated - Import from "@langchain/community/document_loaders/web/assemblyai" instead. This entrypoint will be removed in 0.3.0.
- * Transcribe audio and load subtitles for the transcript as `srt` or `vtt` format.
- */
-export class AudioSubtitleLoader extends CreateTranscriptLoader {
-  /**
-   * Create a new AudioSubtitleLoader.
-   * @param transcribeParams The parameters to transcribe audio.
-   * @param subtitleFormat The format of the subtitles, either `srt` or `vtt`.
-   * @param assemblyAIOptions The options to configure the AssemblyAI loader.
-   * Configure the `assemblyAIOptions.apiKey` with your AssemblyAI API key, or configure it as the `ASSEMBLYAI_API_KEY` environment variable.
-   */
-  constructor(
-    transcribeParams: TranscribeParams | CreateTranscriptParameters,
-    subtitleFormat: SubtitleFormat,
-    assemblyAIOptions?: AssemblyAIOptions
-  );
-
-  /**
-   * Create a new AudioSubtitleLoader.
-   * @param transcriptId The ID of the transcript to retrieve.
-   * @param subtitleFormat The format of the subtitles, either `srt` or `vtt`.
-   * @param assemblyAIOptions The options to configure the AssemblyAI loader.
-   * Configure the `assemblyAIOptions.apiKey` with your AssemblyAI API key, or configure it as the `ASSEMBLYAI_API_KEY` environment variable.
-   */
-  constructor(
-    transcriptId: string,
-    subtitleFormat: SubtitleFormat,
-    assemblyAIOptions?: AssemblyAIOptions
-  );
-
-  /**
-   * Create a new AudioSubtitleLoader.
-   * @param params The parameters to transcribe audio, or the ID of the transcript to retrieve.
-   * @param subtitleFormat The format of the subtitles, either `srt` or `vtt`.
-   * @param assemblyAIOptions The options to configure the AssemblyAI loader.
-   * Configure the `assemblyAIOptions.apiKey` with your AssemblyAI API key, or configure it as the `ASSEMBLYAI_API_KEY` environment variable.
-   */
-  constructor(
-    params: TranscribeParams | CreateTranscriptParameters | string,
-    private subtitleFormat: SubtitleFormat = "srt",
-    assemblyAIOptions?: AssemblyAIOptions
-  ) {
-    super(params, assemblyAIOptions);
-    this.subtitleFormat = subtitleFormat;
-  }
-
-  /**
-   * Transcribe audio and load subtitles for the transcript as `srt` or `vtt` format.
-   * @returns A promise that resolves a document containing the subtitles as the page content.
-   */
-  override async load(): Promise<Document[]> {
-    const transcript = await this.transcribeOrGetTranscript();
-    const subtitles = await this.client.transcripts.subtitles(
-      transcript.id,
-      this.subtitleFormat
-    );
-
-    return [
-      new Document({
-        pageContent: subtitles,
-      }),
-    ];
-  }
-}
diff --git a/langchain/src/document_loaders/web/azure_blob_storage_container.ts b/langchain/src/document_loaders/web/azure_blob_storage_container.ts
deleted file mode 100644
index 42f387a3d01f..000000000000
--- a/langchain/src/document_loaders/web/azure_blob_storage_container.ts
+++ /dev/null
@@ -1,96 +0,0 @@
-import { BlobServiceClient } from "@azure/storage-blob";
-import { Document } from "@langchain/core/documents";
-import { AzureBlobStorageFileLoader } from "./azure_blob_storage_file.js";
-import { BaseDocumentLoader } from "../base.js";
-import { UnstructuredLoaderOptions } from "../fs/unstructured.js";
-import { logVersion020MigrationWarning } from "../../util/entrypoint_deprecation.js";
-
-/* #__PURE__ */ logVersion020MigrationWarning({
-  oldEntrypointName: "document_loaders/web/azure_blog_storage_container",
-  newPackageName: "@langchain/community",
-});
-
-/**
- * Interface representing the configuration for accessing an Azure Blob
- * Storage container. It includes properties for the connection string and
- * container name.
- */
-interface AzureBlobStorageContainerConfig {
-  connectionString: string;
-  container: string;
-}
-
-/**
- * Interface representing the configuration for the
- * AzureBlobStorageContainerLoader. It includes properties for the
- * azureConfig and unstructuredConfig. The azureConfig property contains
- * the Azure Blob Storage container configuration, and the
- * unstructuredConfig property contains the options for the
- * UnstructuredLoader.
- */
-interface AzureBlobStorageContainerLoaderConfig {
-  azureConfig: AzureBlobStorageContainerConfig;
-  unstructuredConfig?: UnstructuredLoaderOptions;
-}
-
-/**
- * @deprecated - Import from "@langchain/community/document_loaders/web/azure_blog_storage_container" instead. This entrypoint will be removed in 0.3.0.
- * Class representing a document loader that loads documents from an Azure
- * Blob Storage container. It extends the BaseDocumentLoader class.
- */
-export class AzureBlobStorageContainerLoader extends BaseDocumentLoader {
-  private readonly connectionString: string;
-
-  private readonly container: string;
-
-  private readonly unstructuredConfig?: UnstructuredLoaderOptions;
-
-  constructor({
-    azureConfig,
-    unstructuredConfig,
-  }: AzureBlobStorageContainerLoaderConfig) {
-    super();
-    this.connectionString = azureConfig.connectionString;
-    this.container = azureConfig.container;
-    this.unstructuredConfig = unstructuredConfig;
-  }
-
-  /**
-   * Method to load documents from an Azure Blob Storage container. It
-   * creates a BlobServiceClient using the connection string, gets the
-   * container client using the container name, and iterates over the blobs
-   * in the container. For each blob, it creates an instance of
-   * AzureBlobStorageFileLoader and loads the documents using the loader.
-   * The loaded documents are concatenated to the docs array and returned.
-   * @returns An array of loaded documents.
-   */
-  public async load() {
-    const blobServiceClient = BlobServiceClient.fromConnectionString(
-      this.connectionString,
-      {
-        userAgentOptions: {
-          userAgentPrefix: "langchainjs-blob-storage-container",
-        },
-      }
-    );
-
-    const containerClient = blobServiceClient.getContainerClient(
-      this.container
-    );
-
-    let docs: Document[] = [];
-    for await (const blob of containerClient.listBlobsFlat()) {
-      const loader = new AzureBlobStorageFileLoader({
-        azureConfig: {
-          connectionString: this.connectionString,
-          container: this.container,
-          blobName: blob.name,
-        },
-        unstructuredConfig: this.unstructuredConfig,
-      });
-      docs = docs.concat(await loader.load());
-    }
-
-    return docs;
-  }
-}
diff --git a/langchain/src/document_loaders/web/azure_blob_storage_file.ts b/langchain/src/document_loaders/web/azure_blob_storage_file.ts
deleted file mode 100644
index a3aa8eb977b0..000000000000
--- a/langchain/src/document_loaders/web/azure_blob_storage_file.ts
+++ /dev/null
@@ -1,132 +0,0 @@
-import * as fs from "node:fs";
-import * as path from "node:path";
-import * as os from "node:os";
-import { BlobServiceClient } from "@azure/storage-blob";
-import { BaseDocumentLoader } from "../base.js";
-import {
-  UnstructuredLoader,
-  UnstructuredLoaderOptions,
-} from "../fs/unstructured.js";
-import { logVersion020MigrationWarning } from "../../util/entrypoint_deprecation.js";
-
-/* #__PURE__ */ logVersion020MigrationWarning({
-  oldEntrypointName: "document_loaders/web/azure_blog_storage_file",
-  newPackageName: "@langchain/community",
-});
-
-/**
- * Interface representing the configuration for accessing a specific file
- * in Azure Blob Storage.
- */
-interface AzureBlobStorageFileConfig {
-  connectionString: string;
-  container: string;
-  blobName: string;
-}
-
-/**
- * Interface representing the configuration for the
- * AzureBlobStorageFileLoader. It contains the Azure Blob Storage file
- * configuration and the options for the UnstructuredLoader.
- */
-interface AzureBlobStorageFileLoaderConfig {
-  azureConfig: AzureBlobStorageFileConfig;
-  unstructuredConfig?: UnstructuredLoaderOptions;
-}
-
-/**
- * @deprecated - Import from "@langchain/community/document_loaders/web/azure_blog_storage_file" instead. This entrypoint will be removed in 0.3.0.
- * Class representing a document loader that loads a specific file from
- * Azure Blob Storage. It extends the BaseDocumentLoader class and
- * implements the DocumentLoader interface.
- * @example
- * ```typescript
- * const loader = new AzureBlobStorageFileLoader({
- *   azureConfig: {
- *     connectionString: "{connectionString}",
- *     container: "{containerName}",
- *     blobName: "{blobName}",
- *   },
- * });
- * const docs = await loader.load();
- * ```
- */
-export class AzureBlobStorageFileLoader extends BaseDocumentLoader {
-  private readonly connectionString: string;
-
-  private readonly container: string;
-
-  private readonly blobName: string;
-
-  private readonly unstructuredConfig?: UnstructuredLoaderOptions;
-
-  constructor({
-    azureConfig,
-    unstructuredConfig,
-  }: AzureBlobStorageFileLoaderConfig) {
-    super();
-    this.connectionString = azureConfig.connectionString;
-    this.container = azureConfig.container;
-    this.blobName = azureConfig.blobName;
-    this.unstructuredConfig = unstructuredConfig;
-  }
-
-  /**
-   * Method to load a specific file from Azure Blob Storage. It creates a
-   * temporary directory, constructs the file path, downloads the file, and
-   * loads the documents using the UnstructuredLoader. The loaded documents
-   * are returned, and the temporary directory is deleted.
-   * @returns An array of documents loaded from the file in Azure Blob Storage.
-   */
-  public async load() {
-    const tempDir = fs.mkdtempSync(
-      path.join(os.tmpdir(), "azureblobfileloader-")
-    );
-
-    const filePath = path.join(tempDir, this.blobName);
-
-    try {
-      const blobServiceClient = BlobServiceClient.fromConnectionString(
-        this.connectionString,
-        {
-          userAgentOptions: {
-            userAgentPrefix: "langchainjs-blob-storage-file",
-          },
-        }
-      );
-
-      const containerClient = blobServiceClient.getContainerClient(
-        this.container
-      );
-
-      const blobClient = containerClient.getBlobClient(this.blobName);
-
-      fs.mkdirSync(path.dirname(filePath), { recursive: true });
-      await blobClient.downloadToFile(filePath);
-    } catch (e: unknown) {
-      throw new Error(
-        `Failed to download file ${
-          this.blobName
-        } from Azure Blob Storage container ${this.container}: ${
-          (e as Error).message
-        }`
-      );
-    }
-
-    try {
-      const unstructuredLoader = new UnstructuredLoader(
-        filePath,
-        this.unstructuredConfig
-      );
-
-      const docs = await unstructuredLoader.load();
-      return docs;
-    } catch {
-      throw new Error(
-        `Failed to load file ${filePath} using unstructured loader.`
-      );
-    } finally {
-      fs.rmSync(path.dirname(filePath), { recursive: true, force: true });
-    }
-  }
-}
diff --git a/langchain/src/document_loaders/web/browserbase.ts b/langchain/src/document_loaders/web/browserbase.ts
deleted file mode 100644
index 64cdfcf83df7..000000000000
--- a/langchain/src/document_loaders/web/browserbase.ts
+++ /dev/null
@@ -1,87 +0,0 @@
-import { Document, type DocumentInterface } from "@langchain/core/documents";
-import Browserbase, { LoadOptions, ClientOptions } from "@browserbasehq/sdk";
-import { BaseDocumentLoader } from "../base.js";
-import type { DocumentLoader } from "../base.js";
-import { logVersion020MigrationWarning } from "../../util/entrypoint_deprecation.js";
-
-/* #__PURE__ */ logVersion020MigrationWarning({
-  oldEntrypointName: "document_loaders/web/browserbase",
-  newPackageName: "@langchain/community",
-});
-
-type BrowserbaseLoaderOptions = ClientOptions & LoadOptions;
-
-/**
- * @deprecated Import from "@langchain/community/document_loaders/web/browserbase" instead. This entrypoint will be removed in 0.3.0.
- * Load pre-rendered web pages using a headless browser hosted on Browserbase.
- *
- * Depends on `@browserbasehq/sdk` package.
- * Get your API key from https://browserbase.com
- *
- * @example
- * ```typescript
- * import { BrowserbaseLoader } from "langchain/document_loaders/web/browserbase";
- *
- * const loader = new BrowserbaseLoader(["https://example.com"], {
- *   apiKey: process.env.BROWSERBASE_API_KEY,
- *   textContent: true,
- * });
- *
- * const docs = await loader.load();
- * ```
- *
- * @param {string[]} urls - The URLs of the web pages to load.
- * @param {BrowserbaseLoaderOptions} [options] - Browserbase client options.
- */
-export class BrowserbaseLoader
-  extends BaseDocumentLoader
-  implements DocumentLoader
-{
-  urls: string[];
-
-  options: BrowserbaseLoaderOptions;
-
-  browserbase: Browserbase;
-
-  constructor(urls: string[], options: BrowserbaseLoaderOptions = {}) {
-    super();
-    this.urls = urls;
-    this.options = options;
-    this.browserbase = new Browserbase(options);
-  }
-
-  /**
-   * Load pages from URLs.
-   *
-   * @returns {Promise<DocumentInterface[]>} - A promise which resolves to a list of documents.
-   */
-  async load(): Promise<DocumentInterface[]> {
-    const documents: DocumentInterface[] = [];
-    for await (const doc of this.lazyLoad()) {
-      documents.push(doc);
-    }
-
-    return documents;
-  }
-
-  /**
-   * Load pages from URLs.
-   *
-   * @returns {Generator<DocumentInterface>} - A generator that yields documents.
-   */
-  async *lazyLoad() {
-    const pages = await this.browserbase.loadURLs(this.urls, this.options);
-
-    let index = 0;
-    for await (const page of pages) {
-      yield new Document({
-        pageContent: page,
-        metadata: {
-          url: this.urls[index],
-        },
-      });
-
-      index += index + 1;
-    }
-  }
-}
diff --git a/langchain/src/document_loaders/web/cheerio.ts b/langchain/src/document_loaders/web/cheerio.ts
deleted file mode 100644
index 00a0bc897fae..000000000000
--- a/langchain/src/document_loaders/web/cheerio.ts
+++ /dev/null
@@ -1,162 +0,0 @@
-import type {
-  CheerioAPI,
-  CheerioOptions,
-  load as LoadT,
-  SelectorType,
-} from "cheerio";
-import { Document } from "@langchain/core/documents";
-import {
-  AsyncCaller,
-  AsyncCallerParams,
-} from "@langchain/core/utils/async_caller";
-import { BaseDocumentLoader } from "../base.js";
-import type { DocumentLoader } from "../base.js";
-import { logVersion020MigrationWarning } from "../../util/entrypoint_deprecation.js";
-
-/* #__PURE__ */ logVersion020MigrationWarning({
-  oldEntrypointName: "document_loaders/web/cheerio",
-  newPackageName: "@langchain/community",
-});
-
-/**
- * @deprecated - Import from "@langchain/community/document_loaders/web/cheerio" instead. This entrypoint will be removed in 0.3.0.
- *
- * Represents the parameters for configuring the CheerioWebBaseLoader. It
- * extends the AsyncCallerParams interface and adds additional parameters
- * specific to web-based loaders.
- */
-export interface WebBaseLoaderParams extends AsyncCallerParams {
-  /**
-   * The timeout in milliseconds for the fetch request. Defaults to 10s.
-   */
-  timeout?: number;
-
-  /**
-   * The selector to use to extract the text from the document. Defaults to
-   * "body".
-   */
-  selector?: SelectorType;
-
-  /**
-   * The text decoder to use to decode the response. Defaults to UTF-8.
-   */
-  textDecoder?: TextDecoder;
-}
-
-/**
- * @deprecated - Import from "@langchain/community/document_loaders/web/cheerio" instead. This entrypoint will be removed in 0.3.0.
- *
- * A class that extends the BaseDocumentLoader and implements the
- * DocumentLoader interface. It represents a document loader for loading
- * web-based documents using Cheerio.
- * @example
- * ```typescript
- * const loader = new CheerioWebBaseLoader("https:exampleurl.com");
- * const docs = await loader.load();
- * console.log({ docs });
- * ```
- */
-export class CheerioWebBaseLoader
-  extends BaseDocumentLoader
-  implements DocumentLoader
-{
-  timeout: number;
-
-  caller: AsyncCaller;
-
-  selector?: SelectorType;
-
-  textDecoder?: TextDecoder;
-
-  constructor(public webPath: string, fields?: WebBaseLoaderParams) {
-    super();
-    const { timeout, selector, textDecoder, ...rest } = fields ?? {};
-    this.timeout = timeout ?? 10000;
-    this.caller = new AsyncCaller(rest);
-    this.selector = selector ?? "body";
-    this.textDecoder = textDecoder;
-  }
-
-  /**
-   * Fetches web documents from the given array of URLs and loads them using Cheerio.
-   * It returns an array of CheerioAPI instances.
-   * @param urls An array of URLs to fetch and load.
-   * @returns A Promise that resolves to an array of CheerioAPI instances.
-   */
-  static async scrapeAll(
-    urls: string[],
-    caller: AsyncCaller,
-    timeout: number | undefined,
-    textDecoder?: TextDecoder,
-    options?: CheerioOptions
-  ): Promise<CheerioAPI[]> {
-    return Promise.all(
-      urls.map((url) =>
-        CheerioWebBaseLoader._scrape(url, caller, timeout, textDecoder, options)
-      )
-    );
-  }
-
-  static async _scrape(
-    url: string,
-    caller: AsyncCaller,
-    timeout: number | undefined,
-    textDecoder?: TextDecoder,
-    options?: CheerioOptions
-  ): Promise<CheerioAPI> {
-    const { load } = await CheerioWebBaseLoader.imports();
-    const response = await caller.call(fetch, url, {
-      signal: timeout ? AbortSignal.timeout(timeout) : undefined,
-    });
-    const html =
-      textDecoder?.decode(await response.arrayBuffer()) ??
-      (await response.text());
-    return load(html, options);
-  }
-
-  /**
-   * Fetches the web document from the webPath and loads it using Cheerio.
-   * It returns a CheerioAPI instance.
-   * @returns A Promise that resolves to a CheerioAPI instance.
-   */
-  async scrape(): Promise<CheerioAPI> {
-    return CheerioWebBaseLoader._scrape(
-      this.webPath,
-      this.caller,
-      this.timeout,
-      this.textDecoder
-    );
-  }
-
-  /**
-   * Extracts the text content from the loaded document using the selector
-   * and creates a Document instance with the extracted text and metadata.
-   * It returns an array of Document instances.
-   * @returns A Promise that resolves to an array of Document instances.
-   */
-  async load(): Promise<Document[]> {
-    const $ = await this.scrape();
-    const text = $(this.selector).text();
-    const metadata = { source: this.webPath };
-    return [new Document({ pageContent: text, metadata })];
-  }
-
-  /**
-   * A static method that dynamically imports the Cheerio library and
-   * returns the load function. If the import fails, it throws an error.
-   * @returns A Promise that resolves to an object containing the load function from the Cheerio library.
-   */
-  static async imports(): Promise<{
-    load: typeof LoadT;
-  }> {
-    try {
-      const { load } = await import("cheerio");
-      return { load };
-    } catch (e) {
-      console.error(e);
-      throw new Error(
-        "Please install cheerio as a dependency with, e.g. `yarn add cheerio`"
-      );
-    }
-  }
-}
diff --git a/langchain/src/document_loaders/web/college_confidential.ts b/langchain/src/document_loaders/web/college_confidential.ts
deleted file mode 100644
index 6a78338b980b..000000000000
--- a/langchain/src/document_loaders/web/college_confidential.ts
+++ /dev/null
@@ -1,40 +0,0 @@
-import { Document } from "@langchain/core/documents";
-import { CheerioWebBaseLoader } from "./cheerio.js";
-import { logVersion020MigrationWarning } from "../../util/entrypoint_deprecation.js";
-
-/* #__PURE__ */ logVersion020MigrationWarning({
-  oldEntrypointName: "document_loaders/web/college_confidential",
-  newPackageName: "@langchain/community",
-});
-
-/**
- * @deprecated - Import from "@langchain/community/document_loaders/web/college_confidential" instead. This entrypoint will be removed in 0.3.0.
- *
- * A document loader specifically designed for loading documents from the
- * College Confidential website. It extends the CheerioWebBaseLoader.
- * @example
- * ```typescript
- * const loader = new CollegeConfidentialLoader("https:exampleurl.com");
- * const docs = await loader.load();
- * console.log({ docs });
- * ```
- */
-export class CollegeConfidentialLoader extends CheerioWebBaseLoader {
-  constructor(webPath: string) {
-    super(webPath);
-  }
-
-  /**
-   * Overrides the base load() method to extract the text content from the
-   * loaded document using a specific selector for the College Confidential
-   * website. It creates a Document instance with the extracted text and
-   * metadata, and returns an array containing the Document instance.
-   * @returns An array containing a Document instance with the extracted text and metadata from the loaded College Confidential web document.
-   */
-  public async load(): Promise<Document[]> {
-    const $ = await this.scrape();
-    const text = $("main[class='skin-handler']").text();
-    const metadata = { source: this.webPath };
-    return [new Document({ pageContent: text, metadata })];
-  }
-}
diff --git a/langchain/src/document_loaders/web/confluence.ts b/langchain/src/document_loaders/web/confluence.ts
deleted file mode 100644
index 42b39467f445..000000000000
--- a/langchain/src/document_loaders/web/confluence.ts
+++ /dev/null
@@ -1,249 +0,0 @@
-import { htmlToText } from "html-to-text";
-import { Document } from "@langchain/core/documents";
-import { BaseDocumentLoader } from "../base.js";
-import { logVersion020MigrationWarning } from "../../util/entrypoint_deprecation.js";
-
-/* #__PURE__ */ logVersion020MigrationWarning({
-  oldEntrypointName: "document_loaders/web/confluence",
-  newPackageName: "@langchain/community",
-});
-
-/**
- * @deprecated - Import from "@langchain/community/document_loaders/web/confluence" instead. This entrypoint will be removed in 0.3.0.
- *
- * Interface representing the parameters for configuring the
- * ConfluencePagesLoader.
- */
-export interface ConfluencePagesLoaderParams {
-  baseUrl: string;
-  spaceKey: string;
-  username?: string;
-  accessToken?: string;
-  personalAccessToken?: string;
-  limit?: number;
-  expand?: string;
-}
-
-/**
- * @deprecated - Import from "@langchain/community/document_loaders/web/confluence" instead. This entrypoint will be removed in 0.3.0.
- *
- * Interface representing a Confluence page.
- */
-export interface ConfluencePage {
-  id: string;
-  title: string;
-  type: string;
-  body: {
-    storage: {
-      value: string;
-    };
-  };
-  status: string;
-  version?: {
-    number: number;
-    when: string;
-    by: {
-      displayName: string;
-    };
-  };
-}
-
-/**
- * @deprecated - Import from "@langchain/community/document_loaders/web/confluence" instead. This entrypoint will be removed in 0.3.0.
- *
- * Interface representing the response from the Confluence API.
- */
-export interface ConfluenceAPIResponse {
-  size: number;
-  results: ConfluencePage[];
-}
-
-/**
- * @deprecated - Import from "@langchain/community/document_loaders/web/confluence" instead. This entrypoint will be removed in 0.3.0.
- *
- * Class representing a document loader for loading pages from Confluence.
- * @example
- * ```typescript
- * const loader = new ConfluencePagesLoader({
- *   baseUrl: "https:
- *   spaceKey: "~EXAMPLE362906de5d343d49dcdbae5dEXAMPLE",
- *   username: "your-username",
- *   accessToken: "your-access-token",
- * });
- * const documents = await loader.load();
- * console.log(documents);
- * ```
- */
-export class ConfluencePagesLoader extends BaseDocumentLoader {
-  public readonly baseUrl: string;
-
-  public readonly spaceKey: string;
-
-  public readonly username?: string;
-
-  public readonly accessToken?: string;
-
-  public readonly limit: number;
-
-  /**
-   * expand parameter for confluence rest api
-   * description can be found at https://developer.atlassian.com/server/confluence/expansions-in-the-rest-api/
-   */
-  public readonly expand?: string;
-
-  public readonly personalAccessToken?: string;
-
-  constructor({
-    baseUrl,
-    spaceKey,
-    username,
-    accessToken,
-    limit = 25,
-    expand = "body.storage,version",
-    personalAccessToken,
-  }: ConfluencePagesLoaderParams) {
-    super();
-    this.baseUrl = baseUrl;
-    this.spaceKey = spaceKey;
-    this.username = username;
-    this.accessToken = accessToken;
-    this.limit = limit;
-    this.expand = expand;
-    this.personalAccessToken = personalAccessToken;
-  }
-
-  /**
-   * Returns the authorization header for the request.
-   * @returns The authorization header as a string, or undefined if no credentials were provided.
-   */
-  private get authorizationHeader(): string | undefined {
-    if (this.personalAccessToken) {
-      return `Bearer ${this.personalAccessToken}`;
-    } else if (this.username && this.accessToken) {
-      const authToken = Buffer.from(
-        `${this.username}:${this.accessToken}`
-      ).toString("base64");
-      return `Basic ${authToken}`;
-    }
-
-    return undefined;
-  }
-
-  /**
-   * Fetches all the pages in the specified space and converts each page to
-   * a Document instance.
-   * @param options the extra options of the load function
-   * @param options.limit The limit parameter to overwrite the size to fetch pages.
-   * @param options.start The start parameter to set inital offset to fetch pages.
-   * @returns Promise resolving to an array of Document instances.
-   */
-  public async load(options?: {
-    start?: number;
-    limit?: number;
-  }): Promise<Document[]> {
-    try {
-      const pages = await this.fetchAllPagesInSpace(
-        options?.start,
-        options?.limit
-      );
-      return pages.map((page) => this.createDocumentFromPage(page));
-    } catch (error) {
-      console.error("Error:", error);
-      return [];
-    }
-  }
-
-  /**
-   * Fetches data from the Confluence API using the provided URL.
-   * @param url The URL to fetch data from.
-   * @returns Promise resolving to the JSON response from the API.
-   */
-  protected async fetchConfluenceData(
-    url: string
-  ): Promise<ConfluenceAPIResponse> {
-    try {
-      const initialHeaders: HeadersInit = {
-        "Content-Type": "application/json",
-        Accept: "application/json",
-      };
-
-      const authHeader = this.authorizationHeader;
-      if (authHeader) {
-        initialHeaders.Authorization = authHeader;
-      }
-
-      const response = await fetch(url, {
-        headers: initialHeaders,
-      });
-
-      if (!response.ok) {
-        throw new Error(
-          `Failed to fetch ${url} from Confluence: ${response.status}`
-        );
-      }
-
-      return await response.json();
-    } catch (error) {
-      throw new Error(`Failed to fetch ${url} from Confluence: ${error}`);
-    }
-  }
-
-  /**
-   * Recursively fetches all the pages in the specified space.
-   * @param start The start parameter to paginate through the results.
-   * @returns Promise resolving to an array of ConfluencePage objects.
-   */
-  private async fetchAllPagesInSpace(
-    start = 0,
-    limit = this.limit
-  ): Promise<ConfluencePage[]> {
-    const url = `${this.baseUrl}/rest/api/content?spaceKey=${this.spaceKey}&limit=${limit}&start=${start}&expand=${this.expand}`;
-    const data = await this.fetchConfluenceData(url);
-
-    if (data.size === 0) {
-      return [];
-    }
-
-    const nextPageStart = start + data.size;
-    const nextPageResults = await this.fetchAllPagesInSpace(
-      nextPageStart,
-      limit
-    );
-
-    return data.results.concat(nextPageResults);
-  }
-
-  /**
-   * Creates a Document instance from a ConfluencePage object.
-   * @param page The ConfluencePage object to convert.
-   * @returns A Document instance.
-   */
-  private createDocumentFromPage(page: ConfluencePage): Document {
-    // Convert the HTML content to plain text
-    const plainTextContent = htmlToText(page.body.storage.value, {
-      wordwrap: false,
-      preserveNewlines: false,
-    });
-
-    // Remove empty lines
-    const textWithoutEmptyLines = plainTextContent.replace(/^\s*[\r\n]/gm, "");
-
-    // Generate the URL
-    const pageUrl = `${this.baseUrl}/spaces/${this.spaceKey}/pages/${page.id}`;
-
-    // Return a langchain document
-    return new Document({
-      pageContent: textWithoutEmptyLines,
-      metadata: {
-        id: page.id,
-        status: page.status,
-        title: page.title,
-        type: page.type,
-        url: pageUrl,
-        version: page.version?.number,
-        updated_by: page.version?.by?.displayName,
-        updated_at: page.version?.when,
-      },
-    });
-  }
-}
diff --git a/langchain/src/document_loaders/web/couchbase.ts b/langchain/src/document_loaders/web/couchbase.ts
deleted file mode 100644
index 834dce6626ca..000000000000
--- a/langchain/src/document_loaders/web/couchbase.ts
+++ /dev/null
@@ -1,96 +0,0 @@
-import { Cluster, QueryResult } from "couchbase";
-import { Document } from "@langchain/core/documents";
-import { BaseDocumentLoader, DocumentLoader } from "../base.js";
-import { logVersion020MigrationWarning } from "../../util/entrypoint_deprecation.js";
-
-/* #__PURE__ */ logVersion020MigrationWarning({
-  oldEntrypointName: "document_loaders/web/couchbase",
-  newPackageName: "@langchain/community",
-});
-
-/**
- * @deprecated - Import from "@langchain/community/document_loaders/web/couchbase" instead. This entrypoint will be removed in 0.3.0.
- *
- * loader for couchbase document
- */
-export class CouchbaseDocumentLoader
-  extends BaseDocumentLoader
-  implements DocumentLoader
-{
-  private cluster: Cluster;
-
-  private query: string;
-
-  private pageContentFields?: string[];
-
-  private metadataFields?: string[];
-
-  /**
-   * construct Couchbase document loader with a requirement for couchbase cluster client
-   * @param client { Cluster } [ couchbase connected client to connect to database ]
-   * @param query { string } [ query to get results from while loading the data ]
-   * @param pageContentFields { Array<string> } [ filters fields of the document and shows these only ]
-   * @param metadataFields { Array<string> } [ metadata fields required ]
-   */
-  constructor(
-    client: Cluster,
-    query: string,
-    pageContentFields?: string[],
-    metadataFields?: string[]
-  ) {
-    super();
-    if (!client) {
-      throw new Error("Couchbase client cluster must be provided.");
-    }
-    this.cluster = client;
-    this.query = query;
-    this.pageContentFields = pageContentFields;
-    this.metadataFields = metadataFields;
-  }
-
-  /**
-   * Function to load document based on query from couchbase
-   * @returns {Promise<Document[]>} [ Returns a promise of all the documents as array ]
-   */
-  async load(): Promise<Document[]> {
-    const documents: Document[] = [];
-    for await (const doc of this.lazyLoad()) {
-      documents.push(doc);
-    }
-    return documents;
-  }
-
-  /**
-   * Function to load documents based on iterator rather than full load
-   * @returns {AsyncIterable<Document>} [ Returns an iterator to fetch documents ]
-   */
-  async *lazyLoad(): AsyncIterable<Document> {
-    // Run SQL++ Query
-    const result: QueryResult = await this.cluster.query(this.query);
-    for await (const row of result.rows) {
-      let { metadataFields, pageContentFields } = this;
-
-      if (!pageContentFields) {
-        pageContentFields = Object.keys(row);
-      }
-
-      if (!metadataFields) {
-        metadataFields = [];
-      }
-
-      const metadata = metadataFields.reduce(
-        (obj, field) => ({ ...obj, [field]: row[field] }),
-        {}
-      );
-
-      const document = pageContentFields
-        .map((k) => `${k}: ${JSON.stringify(row[k])}`)
-        .join("\n");
-
-      yield new Document({
-        pageContent: document,
-        metadata,
-      });
-    }
-  }
-}
diff --git a/langchain/src/document_loaders/web/figma.ts b/langchain/src/document_loaders/web/figma.ts
deleted file mode 100644
index 7d95e38b18ee..000000000000
--- a/langchain/src/document_loaders/web/figma.ts
+++ /dev/null
@@ -1,144 +0,0 @@
-import { Document } from "@langchain/core/documents";
-import { getEnvironmentVariable } from "@langchain/core/utils/env";
-import { BaseDocumentLoader } from "../base.js";
-import { logVersion020MigrationWarning } from "../../util/entrypoint_deprecation.js";
-
-/* #__PURE__ */ logVersion020MigrationWarning({
-  oldEntrypointName: "document_loaders/web/figma",
-  newPackageName: "@langchain/community",
-});
-
-/**
- * @deprecated - Import from "@langchain/community/document_loaders/web/figma" instead. This entrypoint will be removed in 0.3.0.
- *
- * Interface representing a Figma file. It includes properties for the
- * file name, role, last modified date, editor type, thumbnail URL,
- * version, document node, schema version, main file key, and an array of
- * branches.
- */
-export interface FigmaFile {
-  name: string;
-  role: string;
-  lastModified: string;
-  editorType: string;
-  thumbnailUrl: string;
-  version: string;
-  document: Node;
-  schemaVersion: number;
-  mainFileKey: string;
-  branches: Array<{
-    key: string;
-    name: string;
-    thumbnail_url: string;
-    last_modified: string;
-    link_access: string;
-  }>;
-}
-
-/**
- * @deprecated - Import from "@langchain/community/document_loaders/web/figma" instead. This entrypoint will be removed in 0.3.0.
- *
- * Interface representing the parameters for configuring the FigmaLoader.
- * It includes optional properties for the access token, an array of node
- * IDs, and the file key.
- */
-export interface FigmaLoaderParams {
-  accessToken?: string;
-  nodeIds: string[];
-  fileKey: string;
-}
-
-/**
- * @deprecated - Import from "@langchain/community/document_loaders/web/figma" instead. This entrypoint will be removed in 0.3.0.
- *
- * Class representing a document loader for loading Figma files. It
- * extends the BaseDocumentLoader and implements the FigmaLoaderParams
- * interface. The constructor takes a config object as a parameter, which
- * contains the access token, an array of node IDs, and the file key.
- * @example
- * ```typescript
- * const loader = new FigmaFileLoader({
- *   accessToken: "FIGMA_ACCESS_TOKEN",
- *   nodeIds: ["id1", "id2", "id3"],
- *   fileKey: "key",
- * });
- * const docs = await loader.load();
- * ```
- */
-export class FigmaFileLoader
-  extends BaseDocumentLoader
-  implements FigmaLoaderParams
-{
-  public accessToken?: string;
-
-  public nodeIds: string[];
-
-  public fileKey: string;
-
-  private headers: Record<string, string> = {};
-
-  constructor({
-    accessToken = getEnvironmentVariable("FIGMA_ACCESS_TOKEN"),
-    nodeIds,
-    fileKey,
-  }: FigmaLoaderParams) {
-    super();
-
-    this.accessToken = accessToken;
-    this.nodeIds = nodeIds;
-    this.fileKey = fileKey;
-
-    if (this.accessToken) {
-      this.headers = {
-        "x-figma-token": this.accessToken,
-      };
-    }
-  }
-
-  /**
-   * Constructs the URL for the Figma API call.
-   * @returns The constructed URL as a string.
-   */
-  private constructFigmaApiURL(): string {
-    return `https://api.figma.com/v1/files/${
-      this.fileKey
-    }/nodes?ids=${this.nodeIds.join(",")}`;
-  }
-
-  /**
-   * Fetches the Figma file using the Figma API and returns it as a
-   * FigmaFile object.
-   * @returns A Promise that resolves to a FigmaFile object.
-   */
-  private async getFigmaFile(): Promise<FigmaFile> {
-    const url = this.constructFigmaApiURL();
-    const response = await fetch(url, { headers: this.headers });
-    const data = await response.json();
-
-    if (!response.ok) {
-      throw new Error(
-        `Unable to get figma file: ${response.status} ${JSON.stringify(data)}`
-      );
-    }
-
-    if (!data) {
-      throw new Error("Unable to get file");
-    }
-
-    return data as FigmaFile;
-  }
-
-  /**
-   * Fetches the Figma file using the Figma API, creates a Document instance
-   * with the JSON representation of the file as the page content and the
-   * API URL as the metadata, and returns it.
-   * @returns A Promise that resolves to an array of Document instances.
-   */
-  public async load(): Promise<Document[]> {
-    const data = await this.getFigmaFile();
-    const text = JSON.stringify(data);
-    const metadata = { source: this.constructFigmaApiURL() };
-
-    return [new Document({ pageContent: text, metadata })];
-  }
-}
diff --git a/langchain/src/document_loaders/web/firecrawl.ts b/langchain/src/document_loaders/web/firecrawl.ts
deleted file mode 100644
index 30f70ab4378f..000000000000
--- a/langchain/src/document_loaders/web/firecrawl.ts
+++ /dev/null
@@ -1,116 +0,0 @@
-import FirecrawlApp from "@mendable/firecrawl-js";
-import { Document, type DocumentInterface } from "@langchain/core/documents";
-import { getEnvironmentVariable } from "@langchain/core/utils/env";
-import { BaseDocumentLoader } from "../base.js";
-import { logVersion020MigrationWarning } from "../../util/entrypoint_deprecation.js";
-
-/* #__PURE__ */ logVersion020MigrationWarning({
-  oldEntrypointName: "document_loaders/web/firecrawl",
-  newPackageName: "@langchain/community",
-});
-
-/**
- * Interface representing the parameters for the Firecrawl loader. It
- * includes properties such as the URL to scrape or crawl and the API key.
- */
-interface FirecrawlLoaderParameters {
-  /**
-   * URL to scrape or crawl
-   */
-  url: string;
-
-  /**
-   * API key for Firecrawl. If not provided, the default value is the value of the FIRECRAWL_API_KEY environment variable.
-   */
-  apiKey?: string;
-
-  /**
-   * Mode of operation. Can be either "crawl" or "scrape". If not provided, the default value is "crawl".
-   */
-  mode?: "crawl" | "scrape";
-  params?: Record<string, unknown>;
-}
-interface FirecrawlDocument {
-  markdown: string;
-  metadata: Record<string, unknown>;
-}
-
-/**
- * @deprecated - Import from "@langchain/community/document_loaders/web/firecrawl" instead. This entrypoint will be removed in 0.3.0.
- *
- * Class representing a document loader for loading data from
- * Firecrawl (firecrawl.dev). It extends the BaseDocumentLoader class.
- * @example
- * ```typescript
- * const loader = new FireCrawlLoader({
- *   url: "{url}",
- *   apiKey: "{apiKey}",
- *   mode: "crawl"
- * });
- * const docs = await loader.load();
- * ```
- */
-export class FireCrawlLoader extends BaseDocumentLoader {
-  private apiKey: string;
-
-  private url: string;
-
-  private mode: "crawl" | "scrape";
-
-  private params?: Record<string, unknown>;
-
-  constructor(loaderParams: FirecrawlLoaderParameters) {
-    super();
-    const {
-      apiKey = getEnvironmentVariable("FIRECRAWL_API_KEY"),
-      url,
-      mode = "crawl",
-      params,
-    } = loaderParams;
-    if (!apiKey) {
-      throw new Error(
-        "Firecrawl API key not set. You can set it as FIRECRAWL_API_KEY in your .env file, or pass it to Firecrawl."
-      );
-    }
-
-    this.apiKey = apiKey;
-    this.url = url;
-    this.mode = mode;
-    this.params = params;
-  }
-
-  /**
-   * Loads the data from the Firecrawl.
-   * @returns An array of Documents representing the retrieved data.
-   * @throws An error if the data could not be loaded.
-   */
-  public async load(): Promise<DocumentInterface[]> {
-    const app = new FirecrawlApp({ apiKey: this.apiKey });
-    let firecrawlDocs: FirecrawlDocument[];
-
-    if (this.mode === "scrape") {
-      const response = await app.scrapeUrl(this.url, this.params);
-      if (!response.success) {
-        throw new Error(
-          `Firecrawl: Failed to scrape URL. Error: ${response.error}`
-        );
-      }
-      firecrawlDocs = [response.data as FirecrawlDocument];
-    } else if (this.mode === "crawl") {
-      const response = await app.crawlUrl(this.url, this.params, true);
-      firecrawlDocs = response as FirecrawlDocument[];
-    } else {
-      throw new Error(
-        `Unrecognized mode '${this.mode}'. Expected one of 'crawl', 'scrape'.`
-      );
-    }
-
-    return firecrawlDocs.map(
-      (doc) =>
-        new Document({
-          pageContent: doc.markdown || "",
-          metadata: doc.metadata || {},
-        })
-    );
-  }
-}
diff --git a/langchain/src/document_loaders/web/gitbook.ts b/langchain/src/document_loaders/web/gitbook.ts
deleted file mode 100644
index cf3f9964eee5..000000000000
--- a/langchain/src/document_loaders/web/gitbook.ts
+++ /dev/null
@@ -1,120 +0,0 @@
-import type { CheerioAPI } from "cheerio";
-import { Document } from "@langchain/core/documents";
-import { CheerioWebBaseLoader } from "./cheerio.js";
-import { logVersion020MigrationWarning } from "../../util/entrypoint_deprecation.js";
-
-/* #__PURE__ */ logVersion020MigrationWarning({
-  oldEntrypointName: "document_loaders/web/gitbook",
-  newPackageName: "@langchain/community",
-});
-
-/**
- * Interface representing the parameters for configuring the
- * GitbookLoader. It has an optional property shouldLoadAllPaths, which
- * indicates whether all paths should be loaded.
- */
-interface GitbookLoaderParams {
-  shouldLoadAllPaths?: boolean;
-}
-
-/**
- * @deprecated - Import from "@langchain/community/document_loaders/web/gitbook" instead. This entrypoint will be removed in 0.3.0.
- *
- * Class representing a document loader specifically designed for loading
- * documents from Gitbook. It extends the CheerioWebBaseLoader.
- */
-export class GitbookLoader extends CheerioWebBaseLoader {
-  shouldLoadAllPaths = false;
-
-  private readonly baseUrl: string;
-
-  constructor(public webPath: string, params: GitbookLoaderParams = {}) {
-    const path =
-      params.shouldLoadAllPaths === true ? `${webPath}/sitemap.xml` : webPath;
-    super(path);
-
-    this.baseUrl = webPath;
-    this.webPath = path;
-
-    this.shouldLoadAllPaths =
-      params.shouldLoadAllPaths ?? this.shouldLoadAllPaths;
-  }
-
-  /**
-   * Method that scrapes the web document using Cheerio and loads the
-   * content based on the value of shouldLoadAllPaths. If shouldLoadAllPaths
-   * is true, it calls the loadAllPaths() method to load all paths.
-   * Otherwise, it calls the loadPath() method to load a single path.
-   * @returns Promise resolving to an array of Document instances.
-   */
-  public async load(): Promise<Document[]> {
-    const $ = await this.scrape();
-
-    if (this.shouldLoadAllPaths === true) {
-      return this.loadAllPaths($);
-    }
-    return this.loadPath($);
-  }
-
-  /**
-   * Private method that loads the content of a single path from the Gitbook
-   * web document. It extracts the page content by selecting all elements
-   * inside the "main" element, filters out empty text nodes, and joins the
-   * remaining text nodes with line breaks. It extracts the title by
-   * selecting the first "h1" element inside the "main" element. It creates
-   * a Document instance with the extracted page content and metadata
-   * containing the source URL and title.
-   * @param $ CheerioAPI instance representing the loaded web document.
-   * @param url Optional string representing the URL of the web document.
-   * @returns Array of Document instances.
-   */
-  private loadPath($: CheerioAPI, url?: string): Document[] {
-    const pageContent = $("main *")
-      .contents()
-      .toArray()
-      .map((element) =>
-        element.type === "text" ? $(element).text().trim() : null
-      )
-      .filter((text) => text)
-      .join("\n");
-
-    const title = $("main h1").first().text().trim();
-
-    return [
-      new Document({
-        pageContent,
-        metadata: { source: url ?? this.webPath, title },
-      }),
-    ];
-  }
-
-  /**
-   * Private method that loads the content of all paths from the Gitbook web
-   * document. It extracts the URLs of all paths from the "loc" elements in
-   * the sitemap.xml. It iterates over each URL, scrapes the web document
-   * using the _scrape() method, and calls the loadPath() method to load the
-   * content of each path. It collects all the loaded documents and returns
-   * them as an array.
-   * @param $ CheerioAPI instance representing the loaded web document.
-   * @returns Promise resolving to an array of Document instances.
-   */
-  private async loadAllPaths($: CheerioAPI): Promise<Document[]> {
-    const urls = $("loc")
-      .toArray()
-      .map((element) => $(element).text());
-
-    const documents: Document[] = [];
-    for (const url of urls) {
-      const buildUrl = url.includes(this.baseUrl) ? url : this.baseUrl + url;
-      console.log(`Fetching text from ${buildUrl}`);
-      const html = await GitbookLoader._scrape(
-        buildUrl,
-        this.caller,
-        this.timeout
-      );
-      documents.push(...this.loadPath(html, buildUrl));
-    }
-    console.log(`Fetched ${documents.length} documents.`);
-    return documents;
-  }
-}
diff --git a/langchain/src/document_loaders/web/github.ts b/langchain/src/document_loaders/web/github.ts
deleted file mode 100644
index de2963d15d78..000000000000
--- a/langchain/src/document_loaders/web/github.ts
+++ /dev/null
@@ -1,726 +0,0 @@
-import ignore, { Ignore } from "ignore";
-import binaryExtensions from "binary-extensions";
-
-import { Document } from "@langchain/core/documents";
-import { getEnvironmentVariable } from "@langchain/core/utils/env";
-import {
-  AsyncCaller,
-  AsyncCallerParams,
-} from "@langchain/core/utils/async_caller";
-import { BaseDocumentLoader } from "../base.js";
-import { UnknownHandling } from "../fs/directory.js";
-import { extname } from "../../util/extname.js";
-import { logVersion020MigrationWarning } from "../../util/entrypoint_deprecation.js";
-
-/* #__PURE__ */ logVersion020MigrationWarning({
-  oldEntrypointName: "document_loaders/web/github",
-  newPackageName: "@langchain/community",
-});
-
-const extensions = /* #__PURE__ */ new Set(binaryExtensions);
-
-/**
- * A function that checks if a file path is a binary file based on its
- * extension.
- * @param name The file path to check.
- * @returns A boolean indicating whether the file path is a binary file.
- */
-function isBinaryPath(name: string) {
-  return extensions.has(extname(name).slice(1).toLowerCase());
-}
-
-/**
- * @deprecated - Import from "@langchain/community/document_loaders/web/github" instead. This entrypoint will be removed in 0.3.0.
- *
- * An interface that represents a file in a GitHub repository. It has
- * properties for the file name, path, SHA, size, URLs, type, and links.
- */
-export interface GithubFile {
-  name: string;
-  path: string;
-  sha: string;
-  size: number;
-  url: string;
-  html_url: string;
-  git_url: string;
-  download_url: string;
-  type: string;
-  _links: {
-    self: string;
-    git: string;
-    html: string;
-  };
-}
-
-/**
- * An interface that represents the response from fetching the content of
- * a file. It has properties for the file contents and metadata.
- */
-interface GetContentResponse {
-  contents: string;
-  metadata: { source: string; repository: string; branch: string };
-}
-
-/**
- * An interface describing the submodules of a Git repository.
- */
-interface SubmoduleInfo {
-  name: string;
-  path: string;
-  url: string;
-  ref: string;
-}
-
-/**
- * @deprecated - Import from "@langchain/community/document_loaders/web/github" instead. This entrypoint will be removed in 0.3.0.
- *
- * An interface that represents the parameters for the GithubRepoLoader
- * class. It extends the AsyncCallerParams interface and adds additional
- * properties specific to the GitHub repository loader.
- */
-export interface GithubRepoLoaderParams extends AsyncCallerParams {
-  /**
-   * The base URL of the GitHub instance.
-   * To be used when you are not targeting github.com, e.g. a GitHub Enterprise instance.
-   */
-  baseUrl?: string;
-  /**
-   * The API endpoint URL of the GitHub instance.
-   * To be used when you are not targeting github.com, e.g. a GitHub Enterprise instance.
-   */
-  apiUrl?: string;
-  branch?: string;
-  recursive?: boolean;
-  /**
-   * Set to true to recursively process submodules. Is only effective, when recursive=true.
-   */
-  processSubmodules?: boolean;
-  unknown?: UnknownHandling;
-  accessToken?: string;
-  ignoreFiles?: (string | RegExp)[];
-  ignorePaths?: string[];
-  verbose?: boolean;
-  /**
-   * The maximum number of concurrent calls that can be made. Defaults to 2.
-   */
-  maxConcurrency?: number;
-  /**
-   * The maximum number of retries that can be made for a single call,
-   * with an exponential backoff between each attempt. Defaults to 2.
-   */
-  maxRetries?: number;
-}
-
-/**
- * @deprecated - Import from "@langchain/community/document_loaders/web/github" instead. This entrypoint will be removed in 0.3.0.
- *
- * A class that extends the BaseDocumentLoader and implements the
- * GithubRepoLoaderParams interface. It represents a document loader for
- * loading files from a GitHub repository.
- */
-export class GithubRepoLoader
-  extends BaseDocumentLoader
-  implements GithubRepoLoaderParams
-{
-  public baseUrl: string;
-
-  public apiUrl: string;
-
-  private readonly owner: string;
-
-  private readonly repo: string;
-
-  private readonly initialPath: string;
-
-  private headers: Record<string, string> = {};
-
-  public branch: string;
-
-  public recursive: boolean;
-
-  public processSubmodules: boolean;
-
-  public unknown: UnknownHandling;
-
-  public accessToken?: string;
-
-  public ignoreFiles: (string | RegExp)[];
-
-  public ignore?: Ignore;
-
-  public verbose?: boolean;
-
-  public maxConcurrency?: number;
-
-  public maxRetries?: number;
-
-  protected caller: AsyncCaller;
-
-  public ignorePaths?: string[];
-
-  private submoduleInfos: SubmoduleInfo[];
-
-  constructor(
-    githubUrl: string,
-    {
-      accessToken = getEnvironmentVariable("GITHUB_ACCESS_TOKEN"),
-      baseUrl = "https://github.com",
-      apiUrl = "https://api.github.com",
-      branch = "main",
-      recursive = true,
-      processSubmodules = false,
-      unknown = UnknownHandling.Warn,
-      ignoreFiles = [],
-      ignorePaths,
-      verbose = false,
-      maxConcurrency = 2,
-      maxRetries = 2,
-      ...rest
-    }: GithubRepoLoaderParams = {}
-  ) {
-    super();
-    this.baseUrl = baseUrl;
-    this.apiUrl = apiUrl;
-    const { owner, repo, path } = this.extractOwnerAndRepoAndPath(githubUrl);
-    this.owner = owner;
-    this.repo = repo;
-    this.initialPath = path;
-    this.branch = branch;
-    this.recursive = recursive;
-    // processing submodules without processing contents of other directories makes no sense
-    if (processSubmodules && !recursive) {
-      throw new Error(
-        `Input property "recursive" must be true if "processSubmodules" is true.`
-      );
-    }
-    this.processSubmodules = processSubmodules;
-    this.unknown = unknown;
-    this.accessToken = accessToken;
-    this.ignoreFiles = ignoreFiles;
-    this.verbose = verbose;
-    this.maxConcurrency = maxConcurrency;
-    this.maxRetries = maxRetries;
-    this.headers = {
-      "User-Agent": "langchain",
-    };
-    this.caller = new AsyncCaller({
-      maxConcurrency,
-      maxRetries,
-      ...rest,
-    });
-    this.ignorePaths = ignorePaths;
-    if (ignorePaths) {
-      this.ignore = ignore.default().add(ignorePaths);
-    }
-    if (this.accessToken) {
-      this.headers = {
-        ...this.headers,
-        Authorization: `Bearer ${this.accessToken}`,
-      };
-    }
-  }
-
-  /**
-   * Extracts the owner, repository, and path from a GitHub URL.
-   * @param url The GitHub URL to extract information from.
-   * @returns An object containing the owner, repository, and path extracted from the GitHub URL.
-   */
-  private extractOwnerAndRepoAndPath(url: string): {
-    owner: string;
-    repo: string;
-    path: string;
-  } {
-    const match = url.match(
-      new RegExp(`${this.baseUrl}/([^/]+)/([^/]+)(/tree/[^/]+/(.+))?`, "i")
-    );
-
-    if (!match) {
-      throw new Error("Invalid GitHub URL format.");
-    }
-
-    return { owner: match[1], repo: match[2], path: match[4] || "" };
-  }
-
-  /**
-   * Fetches the files from the GitHub repository and creates Document
-   * instances for each file. It also handles error handling based on the
-   * unknown handling option.
-   * @returns A promise that resolves to an array of Document instances.
-   */
-  public async load(): Promise<Document[]> {
-    this.log(
-      `Loading documents from ${this.baseUrl}/${this.owner}/${this.repo}/${this.initialPath}...`
-    );
-    // process repository without submodules
-    const documents: Document[] = (await this.processRepo()).map(
-      (fileResponse) =>
-        new Document({
-          pageContent: fileResponse.contents,
-          metadata: fileResponse.metadata,
-        })
-    );
-    if (this.processSubmodules) {
-      // process submodules
-      await this.getSubmoduleInfo();
-      for (const submoduleInfo of this.submoduleInfos) {
-        documents.push(...(await this.loadSubmodule(submoduleInfo)));
-      }
-    }
-    return documents;
-  }
-
-  /**
-   * Asynchronously streams documents from the entire GitHub repository.
-   * It is suitable for situations where processing large repositories in a memory-efficient manner is required.
-   * @yields Yields a Promise that resolves to a Document object for each file or submodule content found in the repository.
-   */
-  public async *loadAsStream(): AsyncGenerator<Document, void, undefined> {
-    this.log(
-      `Loading documents from ${this.baseUrl}/${this.owner}/${this.repo}/${this.initialPath}...`
-    );
-    yield* await this.processRepoAsStream(this.initialPath);
-
-    if (!this.processSubmodules) {
-      return;
-    }
-
-    await this.getSubmoduleInfo();
-    for (const submoduleInfo of this.submoduleInfos) {
-      yield* await this.loadSubmoduleAsStream(submoduleInfo);
-    }
-  }
-
-  /**
-   * Loads the information about Git submodules from the repository, if available.
-   */
-  private async getSubmoduleInfo(): Promise<void> {
-    this.log("Loading info about submodules...");
-    // we have to fetch the files of the root directory to get the download url of the .gitmodules file
-    // however, we cannot reuse the files retrieved in processRepo() as initialPath may be != ""
-    // so it may be that we end up fetching this file list twice
-    const repoFiles = await this.fetchRepoFiles("");
-    const gitmodulesFile = repoFiles.filter(
-      ({ name }) => name === ".gitmodules"
-    )?.[0];
-    if (gitmodulesFile) {
-      const gitmodulesContent = await this.fetchFileContent({
-        download_url: gitmodulesFile.download_url,
-      } as GithubFile);
-      this.submoduleInfos = await this.parseGitmodules(gitmodulesContent);
-    } else {
-      this.submoduleInfos = [];
-    }
-    this.log(`Found ${this.submoduleInfos.length} submodules:`);
-    for (const submoduleInfo of this.submoduleInfos) {
-      this.log(JSON.stringify(submoduleInfo));
-    }
-  }
-
-  /**
-   * Parses the given content of a .gitmodules file. Furthermore, queries the current SHA ref of all submodules.
-   * Returns the submodule information as array.
-   * @param gitmodulesContent the content of a .gitmodules file
-   */
-  private async parseGitmodules(
-    gitmodulesContent: string
-  ): Promise<SubmoduleInfo[]> {
-    let validGitmodulesContent = gitmodulesContent;
-    // in case the .gitmodules file does not end with a newline, we add one to make the regex work
-    if (!validGitmodulesContent.endsWith("\n")) {
-      validGitmodulesContent += "\n";
-    }
-    // catches the initial line of submodule entries
-    const submodulePattern = /\[submodule "(.*?)"]\n((\s+.*?\s*=\s*.*?\n)*)/g;
-    // catches the properties of a submodule
-    const keyValuePattern = /\s+(.*?)\s*=\s*(.*?)\s/g;
-
-    const submoduleInfos = [];
-    for (const [, name, propertyLines] of validGitmodulesContent.matchAll(
-      submodulePattern
-    )) {
-      if (!name || !propertyLines) {
-        throw new Error("Could not parse submodule entry");
-      }
-      const submodulePropertyLines = propertyLines.matchAll(keyValuePattern);
-      let path;
-      let url;
-      for (const [, key, value] of submodulePropertyLines) {
-        if (!key || !value) {
-          throw new Error(
-            `Could not parse key/value pairs for submodule ${name}`
-          );
-        }
-        switch (key) {
-          case "path":
-            path = value;
-            break;
-          case "url":
-            url = value;
-            if (url.endsWith(".git")) {
-              url = url.substring(0, url.length - 4);
-            }
-            break;
-          default:
-          // ignoring unused keys
-        }
-      }
-      if (!path || !url) {
-        throw new Error(`Missing properties for submodule ${name}`);
-      }
-      // fetch the current ref of the submodule
-      const files = await this.fetchRepoFiles(path);
-      const submoduleInfo: SubmoduleInfo = {
-        name,
-        path,
-        url,
-        ref: files[0].sha,
-      };
-      submoduleInfos.push(submoduleInfo);
-    }
-    return submoduleInfos;
-  }
-
-  /**
-   * Loads the documents of the given submodule. Uses the same parameters as for the current repository.
-   * External submodules, i.e. submodules pointing to another GitHub instance, are ignored.
-   * @param submoduleInfo the info about the submodule to be loaded
-   */
-  private async loadSubmodule(
-    submoduleInfo: SubmoduleInfo
-  ): Promise<Document[]> {
-    if (!submoduleInfo.url.startsWith(this.baseUrl)) {
-      this.log(`Ignoring external submodule ${submoduleInfo.url}.`);
-      return [];
-    } else if (!submoduleInfo.path.startsWith(this.initialPath)) {
-      this.log(
-        `Ignoring submodule ${submoduleInfo.url}, as it is not on initial path.`
-      );
-      return [];
-    } else {
-      this.log(
-        `Accessing submodule ${submoduleInfo.name} (${submoduleInfo.url})...`
-      );
-      return new GithubRepoLoader(submoduleInfo.url, {
-        accessToken: this.accessToken,
-        apiUrl: this.apiUrl,
-        baseUrl: this.baseUrl,
-        branch: submoduleInfo.ref,
-        recursive: this.recursive,
-        processSubmodules: this.processSubmodules,
-        unknown: this.unknown,
-        ignoreFiles: this.ignoreFiles,
-        ignorePaths: this.ignorePaths,
-        verbose: this.verbose,
-        maxConcurrency: this.maxConcurrency,
-        maxRetries: this.maxRetries,
-      }).load();
-    }
-  }
-
-  /**
-   * Asynchronously processes and streams the contents of a specified submodule in the GitHub repository.
-   * @param submoduleInfo the info about the submodule to be loaded
-   * @yields Yields a Promise that resolves to a Document object for each file found in the submodule.
-   */
-  private async *loadSubmoduleAsStream(
-    submoduleInfo: SubmoduleInfo
-  ): AsyncGenerator<Document, void, undefined> {
-    if (!submoduleInfo.url.startsWith(this.baseUrl)) {
-      this.log(`Ignoring external submodule ${submoduleInfo.url}.`);
-      yield* [];
-    }
-
-    if (!submoduleInfo.path.startsWith(this.initialPath)) {
-      this.log(
-        `Ignoring submodule ${submoduleInfo.url}, as it is not on initial path.`
-      );
-      yield* [];
-    }
-
-    this.log(
-      `Accessing submodule ${submoduleInfo.name} (${submoduleInfo.url})...`
-    );
-    const submoduleLoader = new GithubRepoLoader(submoduleInfo.url, {
-      accessToken: this.accessToken,
-      baseUrl: this.baseUrl,
-      apiUrl: this.apiUrl,
-      branch: submoduleInfo.ref,
-      recursive: this.recursive,
-      processSubmodules: this.processSubmodules,
-      unknown: this.unknown,
-      ignoreFiles: this.ignoreFiles,
-      ignorePaths: this.ignorePaths,
-      verbose: this.verbose,
-      maxConcurrency: this.maxConcurrency,
-      maxRetries: this.maxRetries,
-    });
-
-    yield* await submoduleLoader.processRepoAsStream(submoduleInfo.path);
-  }
-
-  /**
-   * Determines whether a file or directory should be ignored based on its
-   * path and type.
-   * @param path The path of the file or directory.
-   * @param fileType The type of the file or directory.
-   * @returns A boolean indicating whether the file or directory should be ignored.
-   */
-  protected shouldIgnore(path: string, fileType: string): boolean {
-    if (fileType !== "dir" && isBinaryPath(path)) {
-      return true;
-    }
-    if (this.ignore !== undefined) {
-      return this.ignore.ignores(path);
-    }
-    return (
-      fileType !== "dir" &&
-      this.ignoreFiles.some((pattern) => {
-        if (typeof pattern === "string") {
-          return path === pattern;
-        }
-
-        try {
-          return pattern.test(path);
-        } catch {
-          throw new Error(`Unknown ignore file pattern: ${pattern}`);
-        }
-      })
-    );
-  }
-
-  /**
-   * Takes the file info and wrap it in a promise that will resolve to the file content and metadata
-   * @param file
-   * @returns
-   */
-  private async fetchFileContentWrapper(
-    file: GithubFile
-  ): Promise<GetContentResponse> {
-    const fileContent = await this.fetchFileContent(file).catch((error) => {
-      this.handleError(`Failed wrap file content: ${file}, ${error}`);
-    });
-    return {
-      contents: fileContent || "",
-      metadata: {
-        source: file.path,
-        repository: `${this.baseUrl}/${this.owner}/${this.repo}`,
-        branch: this.branch,
-      },
-    };
-  }
-
-  /**
-   * Maps a list of files / directories to a list of promises that will fetch the file / directory contents
-   */
-  private async getCurrentDirectoryFilePromises(
-    files: GithubFile[]
-  ): Promise<Promise<GetContentResponse>[]> {
-    const currentDirectoryFilePromises: Promise<GetContentResponse>[] = [];
-    // Directories have nested files / directories, which is why this is a list of promises of promises
-    const currentDirectoryDirectoryPromises: Promise<
-      Promise<GetContentResponse>[]
-    >[] = [];
-
-    for (const file of files) {
-      if (this.shouldIgnore(file.path, file.type)) {
-        continue;
-      }
-      if (file.type === "file" && file.size === 0) {
-        // this is a submodule. ignoring for the moment. submodule processing is done separately
-        continue;
-      }
-      if (file.type !== "dir") {
-        try {
-          currentDirectoryFilePromises.push(this.fetchFileContentWrapper(file));
-        } catch (e) {
-          this.handleError(`Failed to fetch file content: ${file.path}, ${e}`);
-        }
-      } else if (this.recursive) {
-        currentDirectoryDirectoryPromises.push(
-          this.processDirectory(file.path)
-        );
-      }
-    }
-
-    const curDirDirectories: Promise<GetContentResponse>[][] =
-      await Promise.all(currentDirectoryDirectoryPromises);
-
-    return [...currentDirectoryFilePromises, ...curDirDirectories.flat()];
-  }
-
-  /**
-   * Begins the process of fetching the contents of the repository
-   */
-  private async processRepo(): Promise<GetContentResponse[]> {
-    try {
-      // Get the list of file / directory names in the root directory
-      const files = await this.fetchRepoFiles(this.initialPath);
-      // Map the file / directory paths to promises that will fetch the file / directory contents
-      const currentDirectoryFilePromises =
-        await this.getCurrentDirectoryFilePromises(files);
-      return Promise.all(currentDirectoryFilePromises);
-    } catch (error) {
-      this.handleError(
-        `Failed to process directory: ${this.initialPath}, ${error}`
-      );
-      return Promise.reject(error);
-    }
-  }
-
-  /**
-   * Asynchronously processes the contents of the entire GitHub repository,
-   * streaming each file as a Document object.
-   * @param path The path of the directory to process.
-   * @yields Yields a Promise that resolves to a Document object for each file found in the repository.
-   */
-  private async *processRepoAsStream(
-    path: string
-  ): AsyncGenerator<Document, void, undefined> {
-    const files = await this.fetchRepoFiles(path);
-    for (const file of files) {
-      if (this.shouldIgnore(file.path, file.type)) {
-        continue;
-      }
-
-      if (file.type === "file") {
-        try {
-          const fileResponse = await this.fetchFileContentWrapper(file);
-
-          yield new Document({
-            pageContent: fileResponse.contents,
-            metadata: fileResponse.metadata,
-          });
-        } catch (error) {
-          this.handleError(
-            `Failed to fetch file content: ${file.path}, ${error}`
-          );
-        }
-      } else if (this.recursive) {
-        yield* await this.processDirectoryAsStream(file.path);
-      }
-    }
-  }
-
-  /**
-   * Fetches the contents of a directory and maps the file / directory paths
-   * to promises that will fetch the file / directory contents.
-   * @param path The path of the directory to process.
-   * @returns A promise that resolves to an array of promises that will fetch the file / directory contents.
-   */
-  private async processDirectory(
-    path: string
-  ): Promise<Promise<GetContentResponse>[]> {
-    try {
-      const files = await this.fetchRepoFiles(path);
-      return this.getCurrentDirectoryFilePromises(files);
-    } catch (error) {
-      this.handleError(`Failed to process directory: ${path}, ${error}`);
-      return Promise.reject(error);
-    }
-  }
-
-  /**
-   * Asynchronously processes the contents of a given directory in the GitHub repository,
-   * streaming each file as a Document object.
-   * @param path The path of the directory to process.
-   * @yields Yields a Promise that resolves to a Document object for each file in the directory.
-   */
-  private async *processDirectoryAsStream(
-    path: string
-  ): AsyncGenerator<Document, void, undefined> {
-    const files = await this.fetchRepoFiles(path);
-
-    for (const file of files) {
-      if (this.shouldIgnore(file.path, file.type)) {
-        continue;
-      }
-
-      if (file.type === "file") {
-        try {
-          const fileResponse = await this.fetchFileContentWrapper(file);
-
-          yield new Document({
-            pageContent: fileResponse.contents,
-            metadata: fileResponse.metadata,
-          });
-        } catch {
-          this.handleError(`Failed to fetch file content: ${file.path}`);
-        }
-      } else if (this.recursive) {
-        yield* await this.processDirectoryAsStream(file.path);
-      }
-    }
-  }
-
-  /**
-   * Fetches the files from a GitHub repository.
-   * If the path denotes a single file, the resulting array contains only one element.
-   * @param path The path of the repository to fetch the files from.
-   * @returns A promise that resolves to an array of GithubFile instances.
-   */
-  private async fetchRepoFiles(path: string): Promise<GithubFile[]> {
-    const url = `${this.apiUrl}/repos/${this.owner}/${this.repo}/contents/${path}?ref=${this.branch}`;
-    return this.caller.call(async () => {
-      this.log(`Fetching ${url}`);
-      const response = await fetch(url, { headers: this.headers });
-      const data = await response.json();
-      if (!response.ok) {
-        throw new Error(
-          `Unable to fetch repository files: ${
-            response.status
-          } ${JSON.stringify(data)}`
-        );
-      }
-
-      if (Array.isArray(data)) {
-        return data as GithubFile[];
-      } else {
-        return [data as GithubFile];
-      }
-    });
-  }
-
-  /**
-   * Fetches the content of a file from a GitHub repository.
-   * @param file The file to fetch the content from.
-   * @returns A promise that resolves to the content of the file.
-   */
-  private async fetchFileContent(file: GithubFile): Promise<string> {
-    return this.caller.call(async () => {
-      this.log(`Fetching ${file.download_url}`);
-      const response = await fetch(file.download_url, {
-        headers: this.headers,
-      });
-      return response.text();
-    });
-  }
-
-  /**
-   * Handles errors based on the unknown handling option.
-   * @param message The error message.
-   * @returns void
-   */
-  private handleError(message: string): void {
-    switch (this.unknown) {
-      case UnknownHandling.Ignore:
-        break;
-      case UnknownHandling.Warn:
-        console.warn(message);
-        break;
-      case UnknownHandling.Error:
-        throw new Error(message);
-      default:
-        throw new Error(`Unknown unknown handling: ${this.unknown}`);
-    }
-  }
-
-  /**
-   * Logs the given message to the console, if parameter 'verbose' is set to true.
-   * @param message the message to be logged.
-   */
-  private log(message: string): void {
-    if (this.verbose) {
-      console.log(message);
-    }
-  }
-}
diff --git a/langchain/src/document_loaders/web/hn.ts b/langchain/src/document_loaders/web/hn.ts
deleted file mode 100644
index a89321812feb..000000000000
--- a/langchain/src/document_loaders/web/hn.ts
+++ /dev/null
@@ -1,86 +0,0 @@
-import type { CheerioAPI } from "cheerio";
-import { Document } from "@langchain/core/documents";
-import { CheerioWebBaseLoader } from "./cheerio.js";
-import { logVersion020MigrationWarning } from "../../util/entrypoint_deprecation.js";
-
-/* #__PURE__ */ logVersion020MigrationWarning({
-  oldEntrypointName: "document_loaders/web/hn",
-  newPackageName: "@langchain/community",
-});
-
-/**
- * @deprecated - Import from "@langchain/community/document_loaders/web/hn" instead. This entrypoint will be removed in 0.3.0.
- *
- * A class that extends the CheerioWebBaseLoader class. It represents a
- * loader for loading web pages from the Hacker News website.
- */
-export class HNLoader extends CheerioWebBaseLoader {
-  constructor(public webPath: string) {
-    super(webPath);
-  }
-
-  /**
-   * An asynchronous method that loads the web page. If the webPath includes
-   * "item", it calls the loadComments() method to load the comments from
-   * the web page. Otherwise, it calls the loadResults() method to load the
-   * results from the web page.
-   * @returns A Promise that resolves to an array of Document instances.
-   */
-  public async load(): Promise<Document[]> {
-    const $ = await this.scrape();
-    if (this.webPath.includes("item")) {
-      return this.loadComments($);
-    }
-    return this.loadResults($);
-  }
-
-  /**
-   * A private method that loads the comments from the web page. It selects
-   * the elements with the class "athing comtr" using the $ function
-   * provided by Cheerio. It also extracts the title of the web page from
-   * the element with the id "pagespace". It creates Document instances for
-   * each comment, with the comment text as the page content and the source
-   * and title as metadata.
-   * @param $ A CheerioAPI instance.
-   * @returns An array of Document instances.
-   */
-  private loadComments($: CheerioAPI): Document[] {
-    const comments = $("tr[class='athing comtr']");
-    const title = $("tr[id='pagespace']").attr("title");
-    const documents: Document[] = [];
-    comments.each((_index, comment) => {
-      const text = $(comment).text().trim();
-      const metadata = { source: this.webPath, title };
-      documents.push(new Document({ pageContent: text, metadata }));
-    });
-    return documents;
-  }
-
-  /**
-   * A private method that loads the results from the web page. It selects
-   * the elements with the class "athing" using the $ function provided by
-   * Cheerio. It extracts the ranking, link, title, and other metadata from
-   * each result item. It creates Document instances for each result item,
-   * with the title as the page content and the source, title, link, and
-   * ranking as metadata.
-   * @param $ A CheerioAPI instance.
-   * @returns An array of Document instances.
-   */
-  private loadResults($: CheerioAPI): Document[] {
-    const items = $("tr[class='athing']");
-    const documents: Document[] = [];
-    items.each((_index, item) => {
-      const ranking = $(item).find("span[class='rank']").text();
-      const link = $(item).find("span[class='titleline'] a").attr("href");
-      const title = $(item).find("span[class='titleline']").text().trim();
-      const metadata = {
-        source: this.webPath,
-        title,
-        link,
-        ranking,
-      };
-      documents.push(new Document({ pageContent: title, metadata }));
-    });
-    return documents;
-  }
-}
diff --git a/langchain/src/document_loaders/web/imsdb.ts b/langchain/src/document_loaders/web/imsdb.ts
deleted file mode 100644
index b2644ab6e223..000000000000
--- a/langchain/src/document_loaders/web/imsdb.ts
+++ /dev/null
@@ -1,37 +0,0 @@
-import { Document } from "@langchain/core/documents";
-import { CheerioWebBaseLoader } from "./cheerio.js";
-import { logVersion020MigrationWarning } from "../../util/entrypoint_deprecation.js";
-
-/* #__PURE__ */ logVersion020MigrationWarning({
-  oldEntrypointName: "document_loaders/web/imsdb",
-  newPackageName: "@langchain/community",
-});
-
-/**
- * @deprecated - Import from "@langchain/community/document_loaders/web/imsdb" instead. This entrypoint will be removed in 0.3.0.
- *
- * A class that extends the CheerioWebBaseLoader class. It represents a
- * loader for loading web pages from the IMSDB (Internet Movie Script
- * Database) website.
- */
-export class IMSDBLoader extends CheerioWebBaseLoader {
-  constructor(public webPath: string) {
-    super(webPath);
-  }
-
-  /**
-   * An asynchronous method that loads the web page using the scrape()
-   * method inherited from the base class. It selects the element with the
-   * class 'scrtext' using the $ function provided by Cheerio and extracts
-   * the text content. It creates a Document instance with the text content
-   * as the page content and the source as metadata. It returns an array
-   * containing the Document instance.
-   * @returns An array containing a Document instance.
-   */
-  public async load(): Promise<Document[]> {
-    const $ = await this.scrape();
-    const text = $("td[class='scrtext']").text().trim();
-    const metadata = { source: this.webPath };
-    return [new Document({ pageContent: text, metadata })];
-  }
-}
diff --git a/langchain/src/document_loaders/web/notionapi.ts b/langchain/src/document_loaders/web/notionapi.ts
deleted file mode 100644
index 3486e8f766cf..000000000000
--- a/langchain/src/document_loaders/web/notionapi.ts
+++ /dev/null
@@ -1,485 +0,0 @@
-import {
-  APIResponseError,
-  Client,
-  isFullBlock,
-  isFullPage,
-  iteratePaginatedAPI,
-  APIErrorCode,
-  isNotionClientError,
-  isFullDatabase,
-} from "@notionhq/client";
-import { NotionToMarkdown } from "notion-to-md";
-import { getBlockChildren } from "notion-to-md/build/utils/notion.js";
-import type {
-  ListBlockChildrenResponseResults,
-  MdBlock,
-} from "notion-to-md/build/types";
-import yaml from "js-yaml";
-
-import { Document } from "@langchain/core/documents";
-import { AsyncCaller } from "@langchain/core/utils/async_caller";
-import { BaseDocumentLoader } from "../base.js";
-import { logVersion020MigrationWarning } from "../../util/entrypoint_deprecation.js";
-
-/* #__PURE__ */ logVersion020MigrationWarning({
-  oldEntrypointName: "document_loaders/web/notionapi",
-  newPackageName: "@langchain/community",
-});
-
-// eslint-disable-next-line @typescript-eslint/no-explicit-any
-type GuardType<T> = T extends (x: any, ...rest: any) => x is infer U
-  ? U
-  : never;
-
-export type GetBlockResponse = Parameters<typeof isFullBlock>[0];
-export type GetPageResponse = Parameters<typeof isFullPage>[0];
-export type GetDatabaseResponse = Parameters<typeof isFullDatabase>[0];
-
-export type BlockObjectResponse = GuardType<typeof isFullBlock>;
-export type PageObjectResponse = GuardType<typeof isFullPage>;
-export type DatabaseObjectResponse = GuardType<typeof isFullDatabase>;
-
-export type GetResponse =
-  | GetBlockResponse
-  | GetPageResponse
-  | GetDatabaseResponse
-  | APIResponseError;
-
-export type PagePropertiesType = PageObjectResponse["properties"];
-export type PagePropertiesValue = PagePropertiesType[keyof PagePropertiesType];
-
-export const isPageResponse = (res: GetResponse): res is GetPageResponse =>
-  !isNotionClientError(res) && res.object === "page";
-export const isDatabaseResponse = (
-  res: GetResponse
-): res is GetDatabaseResponse =>
-  !isNotionClientError(res) && res.object === "database";
-export const isErrorResponse = (res: GetResponse): res is APIResponseError =>
-  isNotionClientError(res);
-
-export const isPage = (res: GetResponse): res is PageObjectResponse =>
-  isPageResponse(res) && isFullPage(res);
-export const isDatabase = (res: GetResponse): res is DatabaseObjectResponse =>
-  isDatabaseResponse(res) && isFullDatabase(res);
-
-/**
- * Represents the type of Notion API to load documents from. The options
- * are "database" or "page".
- */
-// @deprecated `type` property is now automatically determined.
-export type NotionAPIType = "database" | "page";
-
-export type OnDocumentLoadedCallback = (
-  current: number,
-  total: number,
-  currentTitle?: string,
-  rootTitle?: string
-) => void;
-
-/**
- * @deprecated - Import from "@langchain/community/document_loaders/web/notionapi" instead. This entrypoint will be removed in 0.3.0.
- */
-export type NotionAPILoaderOptions = {
-  clientOptions: ConstructorParameters<typeof Client>[0];
-  id: string;
-  type?: NotionAPIType; // @deprecated `type` property is now automatically determined.
-  callerOptions?: ConstructorParameters<typeof AsyncCaller>[0];
-  onDocumentLoaded?: OnDocumentLoadedCallback;
-  propertiesAsHeader?: boolean;
-};
-
-/**
- * @deprecated - Import from "@langchain/community/document_loaders/web/notionapi" instead. This entrypoint will be removed in 0.3.0.
- *
- * A class that extends the BaseDocumentLoader class. It represents a
- * document loader for loading documents from Notion using the Notion API.
- * @example
- * ```typescript
- * import { RecursiveCharacterTextSplitter } from "@langchain/textsplitters";
- *
- * const pageLoader = new NotionAPILoader({
- *   clientOptions: { auth: "<NOTION_INTEGRATION_TOKEN>" },
- *   id: "<PAGE_ID>",
- *   type: "page",
- * });
- * const splitter = new RecursiveCharacterTextSplitter();
- * const pageDocs = await pageLoader.loadAndSplit(splitter);
- * const dbLoader = new NotionAPILoader({
- *   clientOptions: { auth: "<NOTION_INTEGRATION_TOKEN>" },
- *   id: "<DATABASE_ID>",
- *   type: "database",
- *   propertiesAsHeader: true,
- * });
- * const dbDocs = await dbLoader.load();
- * ```
- */
-export class NotionAPILoader extends BaseDocumentLoader {
-  private caller: AsyncCaller;
-
-  private notionClient: Client;
-
-  private n2mClient: NotionToMarkdown;
-
-  private id: string;
-
-  private pageQueue: string[];
-
-  private pageCompleted: string[];
-
-  public pageQueueTotal: number;
-
-  private documents: Document[];
-
-  private rootTitle: string;
-
-  private onDocumentLoaded: OnDocumentLoadedCallback;
-
-  private propertiesAsHeader: boolean;
-
-  constructor(options: NotionAPILoaderOptions) {
-    super();
-
-    this.caller = new AsyncCaller({
-      maxConcurrency: 64,
-      ...options.callerOptions,
-    });
-    this.notionClient = new Client({
-      logger: () => {}, // Suppress Notion SDK logger
-      ...options.clientOptions,
-    });
-    this.n2mClient = new NotionToMarkdown({
-      notionClient: this.notionClient,
-      config: { parseChildPages: false, convertImagesToBase64: false },
-    });
-    this.id = options.id;
-    this.pageQueue = [];
-    this.pageCompleted = [];
-    this.pageQueueTotal = 0;
-    this.documents = [];
-    this.rootTitle = "";
-    this.onDocumentLoaded = options.onDocumentLoaded ?? ((_ti, _cu) => {});
-    this.propertiesAsHeader = options.propertiesAsHeader || false;
-  }
-
-  /**
-   * Adds a selection of page ids to the pageQueue and removes duplicates.
-   * @param items An array of string ids
-   */
-  private addToQueue(...items: string[]) {
-    const deDuped = items.filter(
-      (item) => !this.pageCompleted.concat(this.pageQueue).includes(item)
-    );
-    this.pageQueue.push(...deDuped);
-    this.pageQueueTotal += deDuped.length;
-  }
-
-  /**
-   * Parses a Notion GetResponse object (page or database) and returns a string of the title.
-   * @param obj The Notion GetResponse object to parse.
-   * @returns The string of the title.
-   */
-  private getTitle(obj: GetResponse) {
-    if (isPage(obj)) {
-      const titleProp = Object.values(obj.properties).find(
-        (prop) => prop.type === "title"
-      );
-      if (titleProp) return this.getPropValue(titleProp);
-    }
-    if (isDatabase(obj))
-      return obj.title
-        .map((v) =>
-          this.n2mClient.annotatePlainText(v.plain_text, v.annotations)
-        )
-        .join("");
-    return null;
-  }
-
-  /**
-   * Parses the property type and returns a string
-   * @param page The Notion page property to parse.
-   * @returns A string of parsed property.
-   */
-  private getPropValue(prop: PagePropertiesValue) {
-    switch (prop.type) {
-      case "number": {
-        const propNumber = prop[prop.type];
-        return propNumber !== null ? propNumber.toString() : "";
-      }
-      case "url":
-        return prop[prop.type] || "";
-      case "select":
-        return prop[prop.type]?.name ?? "";
-      case "multi_select":
-        return `[${prop[prop.type].map((v) => `"${v.name}"`).join(", ")}]`;
-      case "status":
-        return prop[prop.type]?.name ?? "";
-      case "date":
-        return `${prop[prop.type]?.start ?? ""}${
-          prop[prop.type]?.end ? ` - ${prop[prop.type]?.end}` : ""
-        }`;
-      case "email":
-        return prop[prop.type] || "";
-      case "phone_number":
-        return prop[prop.type] || "";
-      case "checkbox":
-        return prop[prop.type].toString();
-      case "files":
-        return `[${prop[prop.type].map((v) => `"${v.name}"`).join(", ")}]`;
-      case "created_by":
-        return `["${prop[prop.type].object}", "${prop[prop.type].id}"]`;
-      case "created_time":
-        return prop[prop.type];
-      case "last_edited_by":
-        return `["${prop[prop.type].object}", "${prop[prop.type].id}"]`;
-      case "last_edited_time":
-        return prop[prop.type];
-      case "title":
-        return prop[prop.type]
-          .map((v) =>
-            this.n2mClient.annotatePlainText(v.plain_text, v.annotations)
-          )
-          .join("");
-      case "rich_text":
-        return prop[prop.type]
-          .map((v) =>
-            this.n2mClient.annotatePlainText(v.plain_text, v.annotations)
-          )
-          .join("");
-      case "people":
-        return `[${prop[prop.type]
-          .map((v) => `["${v.object}", "${v.id}"]`)
-          .join(", ")}]`;
-      case "unique_id":
-        return `${prop[prop.type].prefix || ""}${prop[prop.type].number}`;
-      case "relation":
-        return `[${prop[prop.type].map((v) => `"${v.id}"`).join(", ")}]`;
-      default:
-        return `Unsupported type: ${prop.type}`;
-    }
-  }
-
-  /**
-   * Parses the properties of a Notion page and returns them as key-value
-   * pairs.
-   * @param page The Notion page to parse.
-   * @returns An object containing the parsed properties as key-value pairs.
-   */
-  private parsePageProperties(page: PageObjectResponse) {
-    return Object.entries(page.properties).reduce((accum, [propName, prop]) => {
-      const value = this.getPropValue(prop);
-      const props = { ...accum, [propName]: value };
-      return prop.type === "title" ? { ...props, _title: value } : props;
-    }, {} as { [key: string]: string });
-  }
-
-  /**
-   * Parses the details of a Notion page and returns them as an object.
-   * @param page The Notion page to parse.
-   * @returns An object containing the parsed details of the page.
-   */
-  private parsePageDetails(page: PageObjectResponse) {
-    const { id, ...rest } = page;
-    return {
-      ...rest,
-      notionId: id,
-      properties: this.parsePageProperties(page),
-    };
-  }
-
-  /**
-   * Loads a Notion block and returns it as an MdBlock object.
-   * @param block The Notion block to load.
-   * @returns A Promise that resolves to an MdBlock object.
-   */
-  private async loadBlock(block: BlockObjectResponse): Promise<MdBlock> {
-    const mdBlock: MdBlock = {
-      type: block.type,
-      blockId: block.id,
-      parent: await this.caller.call(() =>
-        this.n2mClient.blockToMarkdown(block)
-      ),
-      children: [],
-    };
-
-    if (block.has_children) {
-      const block_id =
-        block.type === "synced_block" &&
-        block.synced_block?.synced_from?.block_id
-          ? block.synced_block.synced_from.block_id
-          : block.id;
-
-      const childBlocks = await this.loadBlocks(
-        await this.caller.call(() =>
-          getBlockChildren(this.notionClient, block_id, null)
-        )
-      );
-
-      mdBlock.children = childBlocks;
-    }
-
-    return mdBlock;
-  }
-
-  /**
-   * Loads Notion blocks and their children recursively.
-   * @param blocksResponse The response from the Notion API containing the blocks to load.
-   * @returns A Promise that resolves to an array containing the loaded MdBlocks.
-   */
-  private async loadBlocks(
-    blocksResponse: ListBlockChildrenResponseResults
-  ): Promise<MdBlock[]> {
-    const blocks = blocksResponse.filter(isFullBlock);
-
-    // Add child pages to queue
-    const childPages = blocks
-      .filter((block) => block.type.includes("child_page"))
-      .map((block) => block.id);
-    if (childPages.length > 0) this.addToQueue(...childPages);
-
-    // Add child database pages to queue
-    const childDatabases = blocks
-      .filter((block) => block.type.includes("child_database"))
-      .map((block) => this.caller.call(() => this.loadDatabase(block.id)));
-
-    // Load this block and child blocks
-    const loadingMdBlocks = blocks
-      .filter((block) => !["child_page", "child_database"].includes(block.type))
-      .map((block) => this.loadBlock(block));
-
-    const [mdBlocks] = await Promise.all([
-      Promise.all(loadingMdBlocks),
-      Promise.all(childDatabases),
-    ]);
-
-    return mdBlocks;
-  }
-
-  /**
-   * Loads a Notion page and its child documents, then adds it to the completed documents array.
-   * @param page The Notion page or page ID to load.
-   */
-  private async loadPage(page: string | PageObjectResponse) {
-    // Check page is a page ID or a PageObjectResponse
-    const [pageData, pageId] =
-      typeof page === "string"
-        ? [
-            this.caller.call(() =>
-              this.notionClient.pages.retrieve({ page_id: page })
-            ),
-            page,
-          ]
-        : [page, page.id];
-
-    const [pageDetails, pageBlocks] = await Promise.all([
-      pageData,
-      this.caller.call(() => getBlockChildren(this.notionClient, pageId, null)),
-    ]);
-
-    if (!isFullPage(pageDetails)) {
-      this.pageCompleted.push(pageId);
-      return;
-    }
-
-    const mdBlocks = await this.loadBlocks(pageBlocks);
-    const mdStringObject = this.n2mClient.toMarkdownString(mdBlocks);
-
-    let pageContent = mdStringObject.parent;
-    const metadata = this.parsePageDetails(pageDetails);
-
-    if (this.propertiesAsHeader) {
-      pageContent =
-        `---\n` +
-        `${yaml.dump(metadata.properties)}` +
-        `---\n\n` +
-        `${pageContent ?? ""}`;
-    }
-
-    if (!pageContent) {
-      this.pageCompleted.push(pageId);
-      return;
-    }
-
-    const pageDocument = new Document({ pageContent, metadata });
-
-    this.documents.push(pageDocument);
-    this.pageCompleted.push(pageId);
-    this.onDocumentLoaded(
-      this.documents.length,
-      this.pageQueueTotal,
-      this.getTitle(pageDetails) || undefined,
-      this.rootTitle
-    );
-  }
-
-  /**
-   * Loads a Notion database and adds it's pages to the queue.
-   * @param id The ID of the Notion database to load.
-   */
-  private async loadDatabase(id: string) {
-    try {
-      for await (const page of iteratePaginatedAPI(
-        this.notionClient.databases.query,
-        {
-          database_id: id,
-          page_size: 50,
-        }
-      )) {
-        this.addToQueue(page.id);
-      }
-    } catch (e) {
-      console.log(e);
-      // TODO: Catch and report api request errors
-    }
-  }
-
-  /**
-   * Loads the documents from Notion based on the specified options.
-   * @returns A Promise that resolves to an array of Documents.
-   */
-  async load(): Promise<Document[]> {
-    const resPagePromise = this.notionClient.pages
-      .retrieve({ page_id: this.id })
-      .then((res) => {
-        this.addToQueue(this.id);
-        return res;
-      })
-      .catch((error: APIResponseError) => error);
-
-    const resDatabasePromise = this.notionClient.databases
-      .retrieve({ database_id: this.id })
-      .then(async (res) => {
-        await this.loadDatabase(this.id);
-        return res;
-      })
-      .catch((error: APIResponseError) => error);
-
-    const [resPage, resDatabase] = await Promise.all([
-      resPagePromise,
-      resDatabasePromise,
-    ]);
-
-    // Check if both resPage and resDatabase resulted in error responses
-    const errors = [resPage, resDatabase].filter(isErrorResponse);
-    if (errors.length === 2) {
-      if (errors.every((e) => e.code === APIErrorCode.ObjectNotFound)) {
-        throw new AggregateError([
-          Error(
-            `Could not find object with ID: ${this.id}. Make sure the relevant pages and databases are shared with your integration.`
-          ),
-          ...errors,
-        ]);
-      }
-      throw new AggregateError(errors);
-    }
-
-    this.rootTitle =
-      this.getTitle(resPage) || this.getTitle(resDatabase) || this.id;
-
-    let pageId = this.pageQueue.shift();
-    while (pageId) {
-      await this.loadPage(pageId);
-      pageId = this.pageQueue.shift();
-    }
-    return this.documents;
-  }
-}
diff --git a/langchain/src/document_loaders/web/notiondb.ts b/langchain/src/document_loaders/web/notiondb.ts
deleted file mode 100644
index 9d05750d1d13..000000000000
--- a/langchain/src/document_loaders/web/notiondb.ts
+++ /dev/null
@@ -1,268 +0,0 @@
-import { Document } from "@langchain/core/documents";
-import { getEnvironmentVariable } from "@langchain/core/utils/env";
-import { BaseDocumentLoader } from "../base.js";
-
-const NOTION_BASE_URL = "https://api.notion.com/v1";
-
-/**
- * Interface representing the parameters for the NotionDBLoader class. It
- * includes the database ID, Notion integration token, Notion API version,
- * and page size limit.
- */
-export interface NotionDBLoaderParams {
-  databaseId: string;
-  notionIntegrationToken?: string;
-  notionApiVersion?: string;
-  pageSizeLimit?: number;
-}
-
-/**
- * Interface representing a Notion page. It includes properties such as
- * the page ID, created time, last edited time, archived status, parent
- * type, and properties.
- */
-interface NotionPage {
-  id: string;
-  object: "page";
-  created_time: string;
-  last_edited_time: string;
-  archived: boolean;
-  parent: {
-    type: "database_id" | "page_id";
-    database_id?: string;
-    page_id?: string;
-  };
-  properties: {
-    // @see https://developers.notion.com/reference/retrieve-a-page
-    // eslint-disable-next-line @typescript-eslint/no-explicit-any
-    [propertyName: string]: any;
-  };
-}
-
-/**
- * @deprecated use the `NotionAPILoader` class instead.
- * @example
- * ```typescript
- * const loader = new NotionDBLoader({
- *   pageSizeLimit: 10,
- *   databaseId: "{databaseId}",
- *   notionIntegrationToken: "{notionIntegrationToken}",
- * });
- * const docs = await loader.load();
- * ```
- */
-export class NotionDBLoader
-  extends BaseDocumentLoader
-  implements NotionDBLoaderParams
-{
-  public integrationToken: string;
-
-  public databaseId: string;
-
-  public notionApiVersion: string;
-
-  public pageSizeLimit: number;
-
-  private headers: Record<string, string> = {};
-
-  constructor({
-    databaseId,
-    notionApiVersion = "2022-06-28",
-    notionIntegrationToken = getEnvironmentVariable("NOTION_INTEGRATION_TOKEN"),
-    pageSizeLimit = 50,
-  }: NotionDBLoaderParams) {
-    super();
-
-    if (!notionIntegrationToken) {
-      throw new Error("You must provide a Notion integration token.");
-    }
-
-    this.integrationToken = notionIntegrationToken;
-    this.pageSizeLimit = pageSizeLimit;
-    this.notionApiVersion = notionApiVersion;
-    this.databaseId = databaseId;
-
-    this.headers = {
-      Authorization: `Bearer ${this.integrationToken}`,
-      "Content-Type": "application/json",
-      "Notion-Version": notionApiVersion,
-    };
-  }
-
-  /**
-   * Loads the documents from Notion based on the specified options.
-   * @returns An array of Document objects.
-   */
-  async load(): Promise<Document[]> {
-    const pageIds = await this.retrievePageIds();
-    const documents: Document[] = [];
-
-    for (const pageId of pageIds) {
-      documents.push(await this.loadPage(pageId));
-    }
-
-    return documents;
-  }
-
-  /**
-   * Retrieves the IDs of the pages in the Notion database.
-   * @returns An array of page IDs.
-   */
-  private async retrievePageIds(): Promise<string[]> {
-    const url = `${NOTION_BASE_URL}/databases/${this.databaseId}/query`;
-
-    const pageIds: string[] = [];
-    const query: { page_size: number; start_cursor?: number } = {
-      page_size: this.pageSizeLimit,
-    };
-    let hasMore = true;
-
-    while (hasMore) {
-      const response = await fetch(url, {
-        method: "POST",
-        body: JSON.stringify(query),
-        headers: this.headers,
-      });
-
-      const data = await response.json();
-
-      if (!response.ok) {
-        throw new Error(
-          `Failed to load data from Notion. Please check your integration token and database id.`
-        );
-      }
-
-      const { results, has_more, next_cursor } = data;
-
-      pageIds.push(...(results?.map((page: NotionPage) => page.id) ?? []));
-      hasMore = has_more;
-      query.start_cursor = next_cursor;
-    }
-
-    return pageIds;
-  }
-
-  /**
-   * Loads a Notion page and returns it as a Document object.
-   * @param pageId The ID of the Notion page to load.
-   * @returns A Document object representing the loaded Notion page.
-   */
-  private async loadPage(pageId: string): Promise<Document> {
-    const url = `${NOTION_BASE_URL}/pages/${pageId}`;
-    const response = await fetch(url, { method: "GET", headers: this.headers });
-    const data = await response.json();
-
-    if (!response.ok) {
-      throw new Error(
-        `Unable to fetch page: ${response.status} ${JSON.stringify(data)}`
-      );
-    }
-
-    // eslint-disable-next-line @typescript-eslint/no-explicit-any
-    const metadata: Record<string, any> = {};
-    const { properties } = data;
-
-    for (const key of Object.keys(properties)) {
-      const item = properties[key];
-      const itemType = item.type;
-      let value;
-
-      switch (itemType) {
-        case "rich_text":
-          value =
-            item?.rich_text && item?.rich_text.length > 0
-              ? item?.rich_text[0].plain_text
-              : null;
-          break;
-        case "title":
-          value =
-            item?.title && item?.title.length > 0
-              ? item?.title[0].plain_text
-              : null;
-          break;
-        case "multi_select":
-          if (item?.multi_select && item?.multi_select.length > 0) {
-            // eslint-disable-next-line @typescript-eslint/no-explicit-any
-            value = item?.multi_select.map((el: any) => el.name);
-          }
-          break;
-        case "url":
-          value = item?.url ? item.url : null;
-          break;
-        default:
-          break;
-      }
-
-      if (value) {
-        metadata[key.toLowerCase()] = value;
-      }
-    }
-
-    metadata.id = pageId;
-
-    return {
-      pageContent: await this.loadBlocks(pageId),
-      metadata,
-    };
-  }
-
-  /**
-   * Loads the blocks of a Notion page and returns them as a string.
-   * @param blockId The ID of the block to load.
-   * @param numberOfTabs The number of tabs to use for indentation.
-   * @returns A string representing the loaded blocks.
-   */
-  private async loadBlocks(blockId: string, numberOfTabs = 0): Promise<string> {
-    const resultLinesArr = [];
-    let currentBlockId = blockId;
-
-    while (currentBlockId) {
-      const response = await fetch(
-        `${NOTION_BASE_URL}/blocks/${currentBlockId}/children`,
-        {
-          method: "GET",
-          headers: this.headers,
-        }
-      );
-      const data = await response.json();
-
-      if (!response.ok) {
-        throw new Error(
-          `Unable to fetch block: ${response.status} ${JSON.stringify(data)}`
-        );
-      }
-
-      for (const result of data.results) {
-        const resultObj = result[result.type];
-
-        if (!resultObj.rich_text) {
-          continue;
-        }
-
-        const curResultTextArr = [];
-
-        for (const richText of resultObj.rich_text) {
-          if (richText.text) {
-            curResultTextArr.push(
-              "\t".repeat(numberOfTabs) + richText.text.content
-            );
-          }
-        }
-
-        if (result.has_children) {
-          const childrenText = await this.loadBlocks(
-            result.id,
-            numberOfTabs + 1
-          );
-          curResultTextArr.push(childrenText);
-        }
-
-        resultLinesArr.push(curResultTextArr.join("\n"));
-      }
-
-      currentBlockId = data.next_cursor;
-    }
-
-    return resultLinesArr.join("\n");
-  }
-}
diff --git a/langchain/src/document_loaders/web/pdf.ts b/langchain/src/document_loaders/web/pdf.ts
deleted file mode 100644
index 87379ea7e1c2..000000000000
--- a/langchain/src/document_loaders/web/pdf.ts
+++ /dev/null
@@ -1,144 +0,0 @@
-import { Document } from "@langchain/core/documents";
-import { BaseDocumentLoader } from "../base.js";
-import { formatDocumentsAsString } from "../../util/document.js";
-import { logVersion020MigrationWarning } from "../../util/entrypoint_deprecation.js";
-
-/* #__PURE__ */ logVersion020MigrationWarning({
-  oldEntrypointName: "document_loaders/web/pdf",
-  newPackageName: "@langchain/community",
-});
-
-/**
- * @deprecated - Import from "@langchain/community/document_loaders/web/pdf" instead. This entrypoint will be removed in 0.3.0.
- *
- * A document loader for loading data from PDFs.
- * @example
- * ```typescript
- * const loader = new WebPDFLoader(new Blob());
- * const docs = await loader.load();
- * console.log({ docs });
- * ```
- */
-export class WebPDFLoader extends BaseDocumentLoader {
-  protected blob: Blob;
-
-  protected splitPages = true;
-
-  private pdfjs: typeof PDFLoaderImports;
-
-  protected parsedItemSeparator: string;
-
-  constructor(
-    blob: Blob,
-    {
-      splitPages = true,
-      pdfjs = PDFLoaderImports,
-      parsedItemSeparator = "",
-    } = {}
-  ) {
-    super();
-    this.blob = blob;
-    this.splitPages = splitPages ?? this.splitPages;
-    this.pdfjs = pdfjs;
-    this.parsedItemSeparator = parsedItemSeparator;
-  }
-
-  /**
-   * Loads the contents of the PDF as documents.
-   * @returns An array of Documents representing the retrieved data.
-   */
-  async load(): Promise<Document[]> {
-    const { getDocument, version } = await this.pdfjs();
-    const parsedPdf = await getDocument({
-      data: new Uint8Array(await this.blob.arrayBuffer()),
-      useWorkerFetch: false,
-      isEvalSupported: false,
-      useSystemFonts: true,
-    }).promise;
-    const meta = await parsedPdf.getMetadata().catch(() => null);
-
-    const documents: Document[] = [];
-
-    for (let i = 1; i <= parsedPdf.numPages; i += 1) {
-      const page = await parsedPdf.getPage(i);
-      const content = await page.getTextContent();
-
-      if (content.items.length === 0) {
-        continue;
-      }
-
-      // Eliminate excessive newlines
-      // Source: https://github.com/albertcui/pdf-parse/blob/7086fc1cc9058545cdf41dd0646d6ae5832c7107/lib/pdf-parse.js#L16
-      let lastY;
-      const textItems = [];
-      for (const item of content.items) {
-        if ("str" in item) {
-          if (lastY === item.transform[5] || !lastY) {
-            textItems.push(item.str);
-          } else {
-            textItems.push(`\n${item.str}`);
-          }
-          // eslint-disable-next-line prefer-destructuring
-          lastY = item.transform[5];
-        }
-      }
-      const text = textItems.join(this.parsedItemSeparator);
-
-      documents.push(
-        new Document({
-          pageContent: text,
-          metadata: {
-            pdf: {
-              version,
-              info: meta?.info,
-              metadata: meta?.metadata,
-              totalPages: parsedPdf.numPages,
-            },
-            loc: {
-              pageNumber: i,
-            },
-          },
-        })
-      );
-    }
-
-    if (this.splitPages) {
-      return documents;
-    }
-
-    if (documents.length === 0) {
-      return [];
-    }
-
-    return [
-      new Document({
-        pageContent: formatDocumentsAsString(documents),
-        metadata: {
-          pdf: {
-            version,
-            info: meta?.info,
-            metadata: meta?.metadata,
-            totalPages: parsedPdf.numPages,
-          },
-        },
-      }),
-    ];
-
-    return documents;
-  }
-}
-
-async function PDFLoaderImports() {
-  try {
-    const { default: mod } = await import(
-      "pdf-parse/lib/pdf.js/v1.10.100/build/pdf.js"
-    );
-    const { getDocument, version } = mod;
-    return { getDocument, version };
-  } catch (e) {
-    console.error(e);
-    throw new Error(
-      "Failed to load pdf-parse. Please install it with eg. `npm install pdf-parse`."
-    );
-  }
-}
diff --git a/langchain/src/document_loaders/web/playwright.ts b/langchain/src/document_loaders/web/playwright.ts
deleted file mode 100644
index ec1f5fefb952..000000000000
--- a/langchain/src/document_loaders/web/playwright.ts
+++ /dev/null
@@ -1,129 +0,0 @@
-import type { LaunchOptions, Page, Browser, Response } from "playwright";
-
-import { Document } from "@langchain/core/documents";
-import { BaseDocumentLoader } from "../base.js";
-import type { DocumentLoader } from "../base.js";
-import { logVersion020MigrationWarning } from "../../util/entrypoint_deprecation.js";
-
-/* #__PURE__ */ logVersion020MigrationWarning({
-  oldEntrypointName: "document_loaders/web/playwright",
-  newPackageName: "@langchain/community",
-});
-
-export { Page, Browser, Response };
-
-export type PlaywrightGotoOptions = {
-  referer?: string;
-  timeout?: number;
-  waitUntil?: "load" | "domcontentloaded" | "networkidle" | "commit";
-};
-
-/**
- * @deprecated - Import from "@langchain/community/document_loaders/web/playwright" instead. This entrypoint will be removed in 0.3.0.
- *
- * Type representing a function for evaluating JavaScript code on a web
- * page using Playwright. Takes a Page, Browser, and Response object as
- * parameters and returns a Promise that resolves to a string.
- */
-export type PlaywrightEvaluate = (
-  page: Page,
-  browser: Browser,
-  response: Response | null
-) => Promise<string>;
-
-export type PlaywrightWebBaseLoaderOptions = {
-  launchOptions?: LaunchOptions;
-  gotoOptions?: PlaywrightGotoOptions;
-  evaluate?: PlaywrightEvaluate;
-};
-
-/**
- * @deprecated - Import from "@langchain/community/document_loaders/web/pplaywrightdf" instead. This entrypoint will be removed in 0.3.0.
- *
- * Class representing a document loader for scraping web pages using
- * Playwright. Extends the BaseDocumentLoader class and implements the
- * DocumentLoader interface.
- */
-export class PlaywrightWebBaseLoader
-  extends BaseDocumentLoader
-  implements DocumentLoader
-{
-  options: PlaywrightWebBaseLoaderOptions | undefined;
-
-  constructor(
-    public webPath: string,
-    options?: PlaywrightWebBaseLoaderOptions
-  ) {
-    super();
-    this.options = options ?? undefined;
-  }
-
-  static async _scrape(
-    url: string,
-    options?: PlaywrightWebBaseLoaderOptions
-  ): Promise<string> {
-    const { chromium } = await PlaywrightWebBaseLoader.imports();
-
-    const browser = await chromium.launch({
-      headless: true,
-      ...options?.launchOptions,
-    });
-    const page = await browser.newPage();
-
-    const response = await page.goto(url, {
-      timeout: 180000,
-      waitUntil: "domcontentloaded",
-      ...options?.gotoOptions,
-    });
-    const bodyHTML = options?.evaluate
-      ? await options?.evaluate(page, browser, response)
-      : await page.content();
-
-    await browser.close();
-
-    return bodyHTML;
-  }
-
-  /**
-   * Method that calls the _scrape method to perform the scraping of the web
-   * page specified by the webPath property. Returns a Promise that resolves
-   * to the scraped HTML content of the web page.
-   * @returns Promise that resolves to the scraped HTML content of the web page.
-   */
-  async scrape(): Promise<string> {
-    return PlaywrightWebBaseLoader._scrape(this.webPath, this.options);
-  }
-
-  /**
-   * Method that calls the scrape method and returns the scraped HTML
-   * content as a Document object. Returns a Promise that resolves to an
-   * array of Document objects.
-   * @returns Promise that resolves to an array of Document objects.
-   */
-  async load(): Promise<Document[]> {
-    const text = await this.scrape();
-
-    const metadata = { source: this.webPath };
-    return [new Document({ pageContent: text, metadata })];
-  }
-
-  /**
-   * Static method that imports the necessary Playwright modules. Returns a
-   * Promise that resolves to an object containing the imported modules.
-   * @returns Promise that resolves to an object containing the imported modules.
-   */
-  static async imports(): Promise<{
-    chromium: typeof import("playwright").chromium;
-  }> {
-    try {
-      const { chromium } = await import("playwright");
-
-      return { chromium };
-    } catch (e) {
-      console.error(e);
-      throw new Error(
-        "Please install playwright as a dependency with, e.g. `yarn add playwright`"
-      );
-    }
-  }
-}
diff --git a/langchain/src/document_loaders/web/puppeteer.ts b/langchain/src/document_loaders/web/puppeteer.ts
deleted file mode 100644
index 09ebd95998c0..000000000000
--- a/langchain/src/document_loaders/web/puppeteer.ts
+++ /dev/null
@@ -1,185 +0,0 @@
-import type {
-  launch,
-  WaitForOptions,
-  Page,
-  Browser,
-  PuppeteerLaunchOptions,
-} from "puppeteer";
-
-import { Document } from "@langchain/core/documents";
-import { BaseDocumentLoader } from "../base.js";
-import type { DocumentLoader } from "../base.js";
-import { logVersion020MigrationWarning } from "../../util/entrypoint_deprecation.js";
-
-/* #__PURE__ */ logVersion020MigrationWarning({
-  oldEntrypointName: "document_loaders/web/puppeteer",
-  newPackageName: "@langchain/community",
-});
-
-export { Page, Browser };
-
-export type PuppeteerGotoOptions = WaitForOptions & {
-  referer?: string;
-  referrerPolicy?: string;
-};
-
-/**
- * Type representing a function for evaluating JavaScript code on a web
- * page using Puppeteer. It takes a Page and Browser object as parameters
- * and returns a Promise that resolves to a string.
- */
-export type PuppeteerEvaluate = (
-  page: Page,
-  browser: Browser
-) => Promise<string>;
-
-export type PuppeteerWebBaseLoaderOptions = {
-  launchOptions?: PuppeteerLaunchOptions;
-  gotoOptions?: PuppeteerGotoOptions;
-  evaluate?: PuppeteerEvaluate;
-};
-
-/**
- * @deprecated - Import from "@langchain/community/document_loaders/web/puppeteer" instead. This entrypoint will be removed in 0.3.0.
- *
- * Class that extends the BaseDocumentLoader class and implements the
- * DocumentLoader interface. It represents a document loader for scraping
- * web pages using Puppeteer.
- * @example
- * ```typescript
- * const loader = new PuppeteerWebBaseLoader("https:exampleurl.com", {
- *   launchOptions: {
- *     headless: true,
- *   },
- *   gotoOptions: {
- *     waitUntil: "domcontentloaded",
- *   },
- * });
- * const screenshot = await loader.screenshot();
- * ```
- */
-export class PuppeteerWebBaseLoader
-  extends BaseDocumentLoader
-  implements DocumentLoader
-{
-  options: PuppeteerWebBaseLoaderOptions | undefined;
-
-  constructor(public webPath: string, options?: PuppeteerWebBaseLoaderOptions) {
-    super();
-    this.options = options ?? undefined;
-  }
-
-  static async _scrape(
-    url: string,
-    options?: PuppeteerWebBaseLoaderOptions
-  ): Promise<string> {
-    const { launch } = await PuppeteerWebBaseLoader.imports();
-
-    const browser = await launch({
-      headless: true,
-      defaultViewport: null,
-      ignoreDefaultArgs: ["--disable-extensions"],
-      ...options?.launchOptions,
-    });
-    const page = await browser.newPage();
-
-    await page.goto(url, {
-      timeout: 180000,
-      waitUntil: "domcontentloaded",
-      ...options?.gotoOptions,
-    });
-    const bodyHTML = options?.evaluate
-      ? await options?.evaluate(page, browser)
-      : await page.evaluate(() => document.body.innerHTML);
-
-    await browser.close();
-
-    return bodyHTML;
-  }
-
-  /**
-   * Method that calls the _scrape method to perform the scraping of the web
-   * page specified by the webPath property.
-   * @returns Promise that resolves to the scraped HTML content of the web page.
-   */
-  async scrape(): Promise<string> {
-    return PuppeteerWebBaseLoader._scrape(this.webPath, this.options);
-  }
-
-  /**
-   * Method that calls the scrape method and returns the scraped HTML
-   * content as a Document object.
-   * @returns Promise that resolves to an array of Document objects.
-   */
-  async load(): Promise<Document[]> {
-    const text = await this.scrape();
-
-    const metadata = { source: this.webPath };
-    return [new Document({ pageContent: text, metadata })];
-  }
-
-  /**
-   * Static class method used to screenshot a web page and return
-   * it as a {@link Document} object where  the pageContent property
-   * is the screenshot encoded in base64.
-   *
-   * @param {string} url
-   * @param {PuppeteerWebBaseLoaderOptions} options
-   * @returns {Document} A document object containing the screenshot of the page encoded in base64.
-   */
-  static async _screenshot(
-    url: string,
-    options?: PuppeteerWebBaseLoaderOptions
-  ): Promise<Document> {
-    const { launch } = await PuppeteerWebBaseLoader.imports();
-
-    const browser = await launch({
-      headless: true,
-      defaultViewport: null,
-      ignoreDefaultArgs: ["--disable-extensions"],
-      ...options?.launchOptions,
-    });
-    const page = await browser.newPage();
-
-    await page.goto(url, {
-      timeout: 180000,
-      waitUntil: "domcontentloaded",
-      ...options?.gotoOptions,
-    });
-    const screenshot = await page.screenshot();
-    const base64 = screenshot.toString("base64");
-    const metadata = { source: url };
-    return new Document({ pageContent: base64, metadata });
-  }
-
-  /**
-   * Screenshot a web page and return it as a {@link Document} object where
-   * the pageContent property is the screenshot encoded in base64.
-   *
-   * @returns {Promise<Document>} A document object containing the screenshot of the page encoded in base64.
-   */
-  async screenshot(): Promise<Document> {
-    return PuppeteerWebBaseLoader._screenshot(this.webPath, this.options);
-  }
-
-  /**
-   * Static method that imports the necessary Puppeteer modules. It returns
-   * a Promise that resolves to an object containing the imported modules.
-   * @returns Promise that resolves to an object containing the imported Puppeteer modules.
-   */
-  static async imports(): Promise<{
-    launch: typeof launch;
-  }> {
-    try {
-      // eslint-disable-next-line import/no-extraneous-dependencies
-      const { launch } = await import("puppeteer");
-
-      return { launch };
-    } catch (e) {
-      console.error(e);
-      throw new Error(
-        "Please install puppeteer as a dependency with, e.g. `yarn add puppeteer`"
-      );
-    }
-  }
-}
diff --git a/langchain/src/document_loaders/web/recursive_url.ts b/langchain/src/document_loaders/web/recursive_url.ts
deleted file mode 100644
index c40706d9c2e9..000000000000
--- a/langchain/src/document_loaders/web/recursive_url.ts
+++ /dev/null
@@ -1,223 +0,0 @@
-import { JSDOM } from "jsdom";
-import { Document } from "@langchain/core/documents";
-import { AsyncCaller } from "@langchain/core/utils/async_caller";
-import { BaseDocumentLoader, DocumentLoader } from "../base.js";
-import { logVersion020MigrationWarning } from "../../util/entrypoint_deprecation.js";
-
-/* #__PURE__ */ logVersion020MigrationWarning({
-  oldEntrypointName: "document_loaders/web/recursive_url",
-  newPackageName: "@langchain/community",
-});
-
-/**
- * @deprecated - Import from "@langchain/community/document_loaders/web/recursive_url" instead. This entrypoint will be removed in 0.3.0.
- */
-export interface RecursiveUrlLoaderOptions {
-  excludeDirs?: string[];
-  extractor?: (text: string) => string;
-  maxDepth?: number;
-  timeout?: number;
-  preventOutside?: boolean;
-  callerOptions?: ConstructorParameters<typeof AsyncCaller>[0];
-}
-
-/**
- * @deprecated - Import from "@langchain/community/document_loaders/web/recursive_url" instead. This entrypoint will be removed in 0.3.0.
- */
-export class RecursiveUrlLoader
-  extends BaseDocumentLoader
-  implements DocumentLoader
-{
-  private caller: AsyncCaller;
-
-  private url: string;
-
-  private excludeDirs: string[];
-
-  private extractor: (text: string) => string;
-
-  private maxDepth: number;
-
-  private timeout: number;
-
-  private preventOutside: boolean;
-
-  constructor(url: string, options: RecursiveUrlLoaderOptions) {
-    super();
-
-    this.caller = new AsyncCaller({
-      maxConcurrency: 64,
-      maxRetries: 0,
-      ...options.callerOptions,
-    });
-
-    this.url = url;
-    this.excludeDirs = options.excludeDirs ?? [];
-    this.extractor = options.extractor ?? ((s: string) => s);
-    this.maxDepth = options.maxDepth ?? 2;
-    this.timeout = options.timeout ?? 10000;
-    this.preventOutside = options.preventOutside ?? true;
-  }
-
-  private async fetchWithTimeout(
-    resource: string,
-    options: { timeout: number } & RequestInit
-  ): Promise<Response> {
-    const { timeout, ...rest } = options;
-    return this.caller.call(() =>
-      fetch(resource, { ...rest, signal: AbortSignal.timeout(timeout) })
-    );
-  }
-
-  private getChildLinks(html: string, baseUrl: string): Array<string> {
-    const allLinks = Array.from(
-      new JSDOM(html).window.document.querySelectorAll("a")
-    ).map((a) => a.href);
-    const absolutePaths = [];
-    // eslint-disable-next-line no-script-url
-    const invalidPrefixes = ["javascript:", "mailto:", "#"];
-    const invalidSuffixes = [
-      ".css",
-      ".js",
-      ".ico",
-      ".png",
-      ".jpg",
-      ".jpeg",
-      ".gif",
-      ".svg",
-    ];
-
-    for (const link of allLinks) {
-      if (
-        invalidPrefixes.some((prefix) => link.startsWith(prefix)) ||
-        invalidSuffixes.some((suffix) => link.endsWith(suffix))
-      )
-        continue;
-
-      let standardizedLink: string;
-
-      if (link.startsWith("http")) {
-        standardizedLink = link;
-      } else if (link.startsWith("//")) {
-        const base = new URL(baseUrl);
-        standardizedLink = base.protocol + link;
-      } else {
-        standardizedLink = new URL(link, baseUrl).href;
-      }
-
-      if (this.excludeDirs.some((exDir) => standardizedLink.startsWith(exDir)))
-        continue;
-
-      if (link.startsWith("http")) {
-        const isAllowed = !this.preventOutside || link.startsWith(baseUrl);
-        if (isAllowed) absolutePaths.push(link);
-      } else if (link.startsWith("//")) {
-        const base = new URL(baseUrl);
-        absolutePaths.push(base.protocol + link);
-      } else {
-        const newLink = new URL(link, baseUrl).href;
-        absolutePaths.push(newLink);
-      }
-    }
-
-    return Array.from(new Set(absolutePaths));
-  }
-
-  private extractMetadata(rawHtml: string, url: string) {
-    // eslint-disable-next-line @typescript-eslint/no-explicit-any
-    const metadata: Record<string, any> = { source: url };
-    const { document } = new JSDOM(rawHtml).window;
-
-    const title = document.getElementsByTagName("title")[0];
-    if (title) {
-      metadata.title = title.textContent;
-    }
-
-    const description = document.querySelector("meta[name=description]");
-    if (description) {
-      metadata.description = description.getAttribute("content");
-    }
-
-    const html = document.getElementsByTagName("html")[0];
-    if (html) {
-      metadata.language = html.getAttribute("lang");
-    }
-
-    return metadata;
-  }
-
-  private async getUrlAsDoc(url: string): Promise<Document | null> {
-    let res;
-    try {
-      res = await this.fetchWithTimeout(url, { timeout: this.timeout });
-      res = await res.text();
-    } catch (e) {
-      return null;
-    }
-
-    return {
-      pageContent: this.extractor(res),
-      metadata: this.extractMetadata(res, url),
-    };
-  }
-
-  private async getChildUrlsRecursive(
-    inputUrl: string,
-    visited: Set<string> = new Set<string>(),
-    depth = 0
-  ): Promise<Document[]> {
-    if (depth >= this.maxDepth) return [];
-
-    let url = inputUrl;
-    if (!inputUrl.endsWith("/")) url += "/";
-
-    const isExcluded = this.excludeDirs.some((exDir) => url.startsWith(exDir));
-    if (isExcluded) return [];
-
-    let res;
-    try {
-      res = await this.fetchWithTimeout(url, { timeout: this.timeout });
-      res = await res.text();
-    } catch (e) {
-      return [];
-    }
-
-    const childUrls: string[] = this.getChildLinks(res, url);
-
-    const results = await Promise.all(
-      childUrls.map((childUrl) =>
-        (async () => {
-          if (visited.has(childUrl)) return null;
-          visited.add(childUrl);
-
-          const childDoc = await this.getUrlAsDoc(childUrl);
-          if (!childDoc) return null;
-
-          if (childUrl.endsWith("/")) {
-            const childUrlResponses = await this.getChildUrlsRecursive(
-              childUrl,
-              visited,
-              depth + 1
-            );
-            return [childDoc, ...childUrlResponses];
-          }
-
-          return [childDoc];
-        })()
-      )
-    );
-
-    return results.flat().filter((docs) => docs !== null) as Document[];
-  }
-
-  async load(): Promise<Document[]> {
-    const rootDoc = await this.getUrlAsDoc(this.url);
-    if (!rootDoc) return [];
-
-    const docs = [rootDoc];
-    docs.push(
-      ...(await this.getChildUrlsRecursive(this.url, new Set([this.url])))
-    );
-    return docs;
-  }
-}
diff --git a/langchain/src/document_loaders/web/s3.ts b/langchain/src/document_loaders/web/s3.ts
deleted file mode 100644
index 43a42a09afe4..000000000000
--- a/langchain/src/document_loaders/web/s3.ts
+++ /dev/null
@@ -1,179 +0,0 @@
-import * as fsDefault from "node:fs";
-import * as path from "node:path";
-import * as os from "node:os";
-import { Readable } from "node:stream";
-import { S3Client, GetObjectCommand, S3ClientConfig } from "@aws-sdk/client-s3";
-import { BaseDocumentLoader } from "../base.js";
-import { UnstructuredLoader as UnstructuredLoaderDefault } from "../fs/unstructured.js";
-import { logVersion020MigrationWarning } from "../../util/entrypoint_deprecation.js";
-
-/* #__PURE__ */ logVersion020MigrationWarning({
-  oldEntrypointName: "document_loaders/web/s3",
-  newPackageName: "@langchain/community",
-});
-
-/**
- * Represents the configuration options for the S3 client. It extends the
- * S3ClientConfig interface from the "@aws-sdk/client-s3" package and
- * includes additional deprecated properties for access key ID and secret
- * access key.
- */
-export type S3Config = S3ClientConfig & {
-  /** @deprecated Use the credentials object instead */
-  accessKeyId?: string;
-  /** @deprecated Use the credentials object instead */
-  secretAccessKey?: string;
-};
-
-/**
- * @deprecated - Import from "@langchain/community/document_loaders/web/s3" instead. This entrypoint will be removed in 0.3.0.
- *
- * Represents the parameters for the S3Loader class. It includes
- * properties such as the S3 bucket, key, unstructured API URL,
- * unstructured API key, S3 configuration, file system module, and
- * UnstructuredLoader module.
- */
-export interface S3LoaderParams {
-  bucket: string;
-  key: string;
-  unstructuredAPIURL: string;
-  unstructuredAPIKey: string;
-  s3Config?: S3Config & {
-    /** @deprecated Use the credentials object instead */
-    accessKeyId?: string;
-    /** @deprecated Use the credentials object instead */
-    secretAccessKey?: string;
-  };
-  fs?: typeof fsDefault;
-  UnstructuredLoader?: typeof UnstructuredLoaderDefault;
-}
-
-/**
- * @deprecated - Import from "@langchain/community/document_loaders/web/s3" instead. This entrypoint will be removed in 0.3.0.
- *
- * A class that extends the BaseDocumentLoader class. It represents a
- * document loader for loading files from an S3 bucket.
- * @example
- * ```typescript
- * const loader = new S3Loader({
- *   bucket: "my-document-bucket-123",
- *   key: "AccountingOverview.pdf",
- *   s3Config: {
- *     region: "us-east-1",
- *     credentials: {
- *       accessKeyId: "<YourAccessKeyId>",
- *       secretAccessKey: "<YourSecretAccessKey>",
- *     },
- *   },
- *   unstructuredAPIURL: "<YourUnstructuredAPIURL>",
- *   unstructuredAPIKey: "<YourUnstructuredAPIKey>",
- * });
- * const docs = await loader.load();
- * ```
- */
-export class S3Loader extends BaseDocumentLoader {
-  private bucket: string;
-
-  private key: string;
-
-  private unstructuredAPIURL: string;
-
-  private unstructuredAPIKey: string;
-
-  private s3Config: S3Config & {
-    /** @deprecated Use the credentials object instead */
-    accessKeyId?: string;
-    /** @deprecated Use the credentials object instead */
-    secretAccessKey?: string;
-  };
-
-  private _fs: typeof fsDefault;
-
-  private _UnstructuredLoader: typeof UnstructuredLoaderDefault;
-
-  constructor({
-    bucket,
-    key,
-    unstructuredAPIURL,
-    unstructuredAPIKey,
-    s3Config = {},
-    fs = fsDefault,
-    UnstructuredLoader = UnstructuredLoaderDefault,
-  }: S3LoaderParams) {
-    super();
-    this.bucket = bucket;
-    this.key = key;
-    this.unstructuredAPIURL = unstructuredAPIURL;
-    this.unstructuredAPIKey = unstructuredAPIKey;
-    this.s3Config = s3Config;
-    this._fs = fs;
-    this._UnstructuredLoader = UnstructuredLoader;
-  }
-
-  /**
-   * Loads the file from the S3 bucket, saves it to a temporary directory,
-   * and then uses the UnstructuredLoader to load the file as a document.
-   * @returns An array of Document objects representing the loaded documents.
-   */
-  public async load() {
-    const tempDir = this._fs.mkdtempSync(
-      path.join(os.tmpdir(), "s3fileloader-")
-    );
-
-    const filePath = path.join(tempDir, this.key);
-
-    try {
-      const s3Client = new S3Client(this.s3Config);
-
-      const getObjectCommand = new GetObjectCommand({
-        Bucket: this.bucket,
-        Key: this.key,
-      });
-
-      const response = await s3Client.send(getObjectCommand);
-
-      const objectData = await new Promise<Buffer>((resolve, reject) => {
-        const chunks: Buffer[] = [];
-
-        // eslint-disable-next-line no-instanceof/no-instanceof
-        if (response.Body instanceof Readable) {
-          response.Body.on("data", (chunk: Buffer) => chunks.push(chunk));
-          response.Body.on("end", () => resolve(Buffer.concat(chunks)));
-          response.Body.on("error", reject);
-        } else {
-          reject(new Error("Response body is not a readable stream."));
-        }
-      });
-
-      this._fs.mkdirSync(path.dirname(filePath), { recursive: true });
-
-      this._fs.writeFileSync(filePath, objectData);
-      // eslint-disable-next-line @typescript-eslint/no-explicit-any
-    } catch (e: any) {
-      throw new Error(
-        `Failed to download file ${this.key} from S3 bucket ${this.bucket}: ${e.message}`
-      );
-    }
-
-    try {
-      const options = {
-        apiUrl: this.unstructuredAPIURL,
-        apiKey: this.unstructuredAPIKey,
-      };
-
-      const unstructuredLoader = new this._UnstructuredLoader(
-        filePath,
-        options
-      );
-
-      const docs = await unstructuredLoader.load();
-
-      return docs;
-      // eslint-disable-next-line @typescript-eslint/no-explicit-any
-    } catch (e: any) {
-      throw new Error(
-        `Failed to load file ${filePath} using unstructured loader: ${e.message}`
-      );
-    }
-  }
-}
diff --git a/langchain/src/document_loaders/web/searchapi.ts b/langchain/src/document_loaders/web/searchapi.ts
deleted file mode 100644
index 3cd859700288..000000000000
--- a/langchain/src/document_loaders/web/searchapi.ts
+++ /dev/null
@@ -1,186 +0,0 @@
-import { Document } from "@langchain/core/documents";
-import { getEnvironmentVariable } from "@langchain/core/utils/env";
-import { BaseDocumentLoader } from "../base.js";
-import { logVersion020MigrationWarning } from "../../util/entrypoint_deprecation.js";
-
-/* #__PURE__ */ logVersion020MigrationWarning({
-  oldEntrypointName: "document_loaders/web/searchapi",
-  newPackageName: "@langchain/community",
-});
-
-type JSONPrimitive = string | number | boolean | null;
-type JSONValue = JSONPrimitive | JSONObject | JSONArray;
-interface JSONObject {
-  [key: string]: JSONValue;
-}
-interface JSONArray extends Array<JSONValue> {}
-
-/**
- * SearchApiParameters Type Definition.
- *
- * For more parameters and supported search engines, refer specific engine documentation:
- * Google - https://www.searchapi.io/docs/google
- * Google News - https://www.searchapi.io/docs/google-news
- * Google Scholar - https://www.searchapi.io/docs/google-scholar
- * YouTube Transcripts - https://www.searchapi.io/docs/youtube-transcripts
- * and others.
- *
- */
-type SearchApiParameters = {
-  [key: string]: JSONValue;
-};
-
-/**
- * @deprecated - Import from "@langchain/community/document_loaders/web/searchapi" instead. This entrypoint will be removed in 0.3.0.
- *
- * Class representing a document loader for loading search results from
- * the SearchApi. It extends the BaseDocumentLoader class.
- * @example
- * ```typescript
- * const loader = new SearchApiLoader({
- *   q: "{query}",
- *   apiKey: "{apiKey}",
- *   engine: "google",
- * });
- * const docs = await loader.load();
- * ```
- */
-export class SearchApiLoader extends BaseDocumentLoader {
-  private apiKey: string;
-
-  private parameters: SearchApiParameters;
-
-  constructor(params: SearchApiParameters) {
-    super();
-
-    const { apiKey = getEnvironmentVariable("SEARCHAPI_API_KEY") } = params;
-
-    if (typeof apiKey !== "string") {
-      throw new Error("Invalid type for apiKey. Expected string.");
-    }
-
-    if (!apiKey) {
-      throw new Error(
-        "SearchApi API key not set. You can set it as SEARCHAPI_API_KEY in your .env file, or pass it to SearchApi."
-      );
-    }
-
-    this.apiKey = apiKey;
-    this.parameters = { ...params };
-  }
-
-  /**
-   * Builds the URL for the SearchApi search request.
-   * @returns The URL for the search request.
-   */
-  public buildUrl(): string {
-    this.parameters = {
-      engine: "google",
-      api_key: this.apiKey,
-      ...this.parameters,
-    };
-
-    const preparedParams: [string, string][] = Object.entries(this.parameters)
-      .filter(
-        ([key, value]) =>
-          value !== undefined && value !== null && key !== "apiKey"
-      )
-      .map(([key, value]) => [key, `${value}`]);
-
-    const searchParams = new URLSearchParams(preparedParams);
-    return `https://www.searchapi.io/api/v1/search?${searchParams}`;
-  }
-
-  /**
-   * Extracts documents from the provided output.
-   * @param output - The output to extract documents from.
-   * @param responseType - The type of the response to extract documents from.
-   * @returns An array of Documents.
-   */
-  private extractDocuments(output: unknown, responseType: string): Document[] {
-    const documents: Document[] = [];
-    const results = Array.isArray(output) ? output : [output];
-    if (responseType === "transcripts") {
-      const pageContent = results.map((result) => result.text).join("\n");
-      const metadata = {
-        source: "SearchApi",
-        responseType,
-      };
-      documents.push(new Document({ pageContent, metadata }));
-    } else {
-      for (const result of results) {
-        const pageContent = JSON.stringify(result);
-        const metadata = {
-          source: "SearchApi",
-          responseType,
-        };
-        documents.push(new Document({ pageContent, metadata }));
-      }
-    }
-
-    return documents;
-  }
-
-  /**
-   * Processes the response data from the SearchApi search request and converts it into an array of Documents.
-   * @param data - The response data from the SearchApi search request.
-   * @returns An array of Documents.
-   */
-  public processResponseData(data: Record<string, unknown>): Document[] {
-    const documents: Document[] = [];
-    const responseTypes = [
-      "answer_box",
-      "shopping_results",
-      "knowledge_graph",
-      "organic_results",
-      "transcripts",
-    ];
-    for (const responseType of responseTypes) {
-      if (responseType in data) {
-        documents.push(
-          ...this.extractDocuments(data[responseType], responseType)
-        );
-      }
-    }
-    return documents;
-  }
-
-  /**
-   * Fetches the data from the provided URL and returns it as a JSON object.
-   * If an error occurs during the fetch operation, an exception is thrown with the error message.
-   * @param url - The URL to fetch data from.
-   * @returns A promise that resolves to the fetched data as a JSON object.
-   * @throws An error if the fetch operation fails.
-   */
-  private async fetchData(url: string): Promise<Record<string, unknown>> {
-    const response = await fetch(url);
-    const data = await response.json();
-
-    if (data.error) {
-      throw new Error(
-        `Failed to load search results from SearchApi due to: ${data.error}`
-      );
-    }
-
-    return data;
-  }
-
-  /**
-   * Loads the search results from the SearchApi.
-   * @returns An array of Documents representing the search results.
-   * @throws An error if the search results could not be loaded.
-   */
-  public async load(): Promise<Document[]> {
-    const url = this.buildUrl();
-
-    const data = await this.fetchData(url);
-    try {
-      return this.processResponseData(data);
-    } catch (error) {
-      console.error(error);
-      throw new Error(
-        `Failed to process search results from SearchApi: ${error}`
-      );
-    }
-  }
-}
diff --git a/langchain/src/document_loaders/web/serpapi.ts b/langchain/src/document_loaders/web/serpapi.ts
deleted file mode 100644
index e49281d28579..000000000000
--- a/langchain/src/document_loaders/web/serpapi.ts
+++ /dev/null
@@ -1,145 +0,0 @@
-import { Document } from "@langchain/core/documents";
-import { getEnvironmentVariable } from "@langchain/core/utils/env";
-import { BaseDocumentLoader } from "../base.js";
-import { logVersion020MigrationWarning } from "../../util/entrypoint_deprecation.js";
-
-/* #__PURE__ */ logVersion020MigrationWarning({
-  oldEntrypointName: "document_loaders/web/serpapi",
-  newPackageName: "@langchain/community",
-});
-
-/**
- * Interface representing the parameters for the SerpAPI loader. It
- * includes properties such as the search query and the API key.
- */
-interface SerpAPIParameters {
-  /**
-   * Search Query
-   */
-  q: string;
-  apiKey?: string;
-}
-
-/**
- * @deprecated - Import from "@langchain/community/document_loaders/web/serpapi" instead. This entrypoint will be removed in 0.3.0.
- *
- * Class representing a document loader for loading search results from
- * the SerpAPI. It extends the BaseDocumentLoader class.
- * @example
- * ```typescript
- * const loader = new SerpAPILoader({ q: "{query}", apiKey: "{apiKey}" });
- * const docs = await loader.load();
- * ```
- */
-export class SerpAPILoader extends BaseDocumentLoader {
-  private apiKey: string;
-
-  private searchQuery: string;
-
-  constructor(params: SerpAPIParameters) {
-    super();
-    const { apiKey = getEnvironmentVariable("SERPAPI_API_KEY"), q } = params;
-    if (!apiKey) {
-      throw new Error(
-        "SerpAPI API key not set. You can set it as SERPAPI_API_KEY in your .env file, or pass it to SerpAPI."
-      );
-    }
-
-    this.apiKey = apiKey;
-    this.searchQuery = q;
-  }
-
-  /**
-   * Builds the URL for the SerpAPI search request.
-   * @returns The URL for the search request.
-   */
-  public buildUrl(): string {
-    const params = new URLSearchParams();
-    params.append("api_key", this.apiKey);
-    params.append("q", this.searchQuery);
-    return `https://serpapi.com/search?${params.toString()}`;
-  }
-
-  /**
-   * Extracts documents from the provided output.
-   * @param output - The output to extract documents from.
-   * @param responseType - The type of the response to extract documents from.
-   * @returns An array of Documents.
-   */
-  private extractDocuments(output: unknown, responseType: string): Document[] {
-    const documents: Document[] = [];
-    const results = Array.isArray(output) ? output : [output];
-    for (const result of results) {
-      const pageContent = JSON.stringify(result);
-      const metadata = {
-        source: "SerpAPI",
-        responseType,
-      };
-      documents.push(new Document({ pageContent, metadata }));
-    }
-    return documents;
-  }
-
-  /**
-   * Processes the response data from the SerpAPI search request and converts it into an array of Documents.
-   * @param data - The response data from the SerpAPI search request.
-   * @returns An array of Documents.
-   */
-  public processResponseData(data: Record<string, unknown>): Document[] {
-    const documents: Document[] = [];
-    const responseTypes = [
-      "answer_box",
-      "sports_results",
-      "shopping_results",
-      "knowledge_graph",
-      "organic_results",
-    ];
-    for (const responseType of responseTypes) {
-      if (responseType in data) {
-        documents.push(
-          ...this.extractDocuments(data[responseType], responseType)
-        );
-      }
-    }
-    return documents;
-  }
-
-  /**
-   * Fetches the data from the provided URL and returns it as a JSON object.
-   * If an error occurs during the fetch operation, an exception is thrown with the error message.
-   * @param url - The URL to fetch data from.
-   * @returns A promise that resolves to the fetched data as a JSON object.
-   * @throws An error if the fetch operation fails.
-   */
-  private async fetchData(url: string): Promise<Record<string, unknown>> {
-    const response = await fetch(url);
-    const data = await response.json();
-
-    if (data.error) {
-      throw new Error(
-        `Failed to load search results from SerpAPI due to: ${data.error}`
-      );
-    }
-
-    return data;
-  }
-
-  /**
-   * Loads the search results from the SerpAPI.
-   * @returns An array of Documents representing the search results.
-   * @throws An error if the search results could not be loaded.
-   */
-  public async load(): Promise<Document[]> {
-    const url = this.buildUrl();
-
-    const data = await this.fetchData(url);
-    try {
-      return this.processResponseData(data);
-    } catch (error) {
-      console.error(error);
-      throw new Error(
-        `Failed to process search results from SerpAPI: ${error}`
-      );
-    }
-  }
-}
diff --git a/langchain/src/document_loaders/web/sitemap.ts b/langchain/src/document_loaders/web/sitemap.ts
deleted file mode 100644
index 615a5cbde2a9..000000000000
--- a/langchain/src/document_loaders/web/sitemap.ts
+++ /dev/null
@@ -1,164 +0,0 @@
-import { Document, DocumentInterface } from "@langchain/core/documents";
-import { chunkArray } from "@langchain/core/utils/chunk_array";
-import { CheerioWebBaseLoader, WebBaseLoaderParams } from "./cheerio.js";
-import { logVersion020MigrationWarning } from "../../util/entrypoint_deprecation.js";
-
-/* #__PURE__ */ logVersion020MigrationWarning({
-  oldEntrypointName: "document_loaders/web/sitemap",
-  newPackageName: "@langchain/community",
-});
-
-/**
- * @deprecated - Import from "@langchain/community/document_loaders/web/sitemap" instead. This entrypoint will be removed in 0.3.0.
- *
- * Interface representing the parameters for initializing a SitemapLoader.
- * @interface SitemapLoaderParams
- * @extends WebBaseLoaderParams
- */
-export interface SitemapLoaderParams extends WebBaseLoaderParams {
-  /**
-   * @property {(string | RegExp)[] | undefined} filterUrls - A list of regexes. Only URLs that match one of the filter URLs will be loaded.
-   * WARNING: The filter URLs are interpreted as regular expressions. Escape special characters if needed.
-   */
-  filterUrls?: (string | RegExp)[];
-  /**
-   * The size to chunk the sitemap URLs into for scraping.
-   * @default {300}
-   */
-  chunkSize?: number;
-}
-
-const DEFAULT_CHUNK_SIZE = 300;
-
-type SiteMapElement = {
-  loc: string;
-  changefreq?: string;
-  lastmod?: string;
-  priority?: string;
-};
-
-/**
- * @deprecated - Import from "@langchain/community/document_loaders/web/sitemap" instead. This entrypoint will be removed in 0.3.0.
- */
-export class SitemapLoader
-  extends CheerioWebBaseLoader
-  implements SitemapLoaderParams
-{
-  allowUrlPatterns: (string | RegExp)[] | undefined;
-
-  chunkSize: number;
-
-  constructor(public webPath: string, params: SitemapLoaderParams = {}) {
-    const paramsWithDefaults = { chunkSize: DEFAULT_CHUNK_SIZE, ...params };
-    let path = webPath.endsWith("/") ? webPath.slice(0, -1) : webPath;
-    // Allow for custom sitemap paths to be passed in with the url.
-    path = path.endsWith(".xml") ? path : `${path}/sitemap.xml`;
-    super(path, paramsWithDefaults);
-
-    this.webPath = path;
-    this.allowUrlPatterns = paramsWithDefaults.filterUrls;
-    this.chunkSize = paramsWithDefaults.chunkSize;
-  }
-
-  _checkUrlPatterns(url: string): boolean {
-    if (!this.allowUrlPatterns) {
-      return false;
-    }
-    return !this.allowUrlPatterns.some(
-      (pattern) => !new RegExp(pattern).test(url)
-    );
-  }
-
-  async parseSitemap() {
-    const $ = await CheerioWebBaseLoader._scrape(
-      this.webPath,
-      this.caller,
-      this.timeout,
-      this.textDecoder,
-      {
-        xmlMode: true,
-        xml: true,
-      }
-    );
-
-    const elements: Array<SiteMapElement> = [];
-
-    $("url").each((_, element) => {
-      const loc = $(element).find("loc").text();
-      if (!loc) {
-        return;
-      }
-
-      if (this._checkUrlPatterns(loc)) {
-        return;
-      }
-
-      const changefreq = $(element).find("changefreq").text();
-      const lastmod = $(element).find("lastmod").text();
-      const priority = $(element).find("priority").text();
-
-      elements.push({ loc, changefreq, lastmod, priority });
-    });
-
-    $("sitemap").each((_, element) => {
-      const loc = $(element).find("loc").text();
-      if (!loc) {
-        return;
-      }
-      const changefreq = $(element).find("changefreq").text();
-      const lastmod = $(element).find("lastmod").text();
-      const priority = $(element).find("priority").text();
-
-      elements.push({ loc, changefreq, lastmod, priority });
-    });
-
-    return elements;
-  }
-
-  async _loadSitemapUrls(
-    elements: Array<SiteMapElement>
-  ): Promise<DocumentInterface[]> {
-    const all = await CheerioWebBaseLoader.scrapeAll(
-      elements.map((ele) => ele.loc),
-      this.caller,
-      this.timeout,
-      this.textDecoder
-    );
-    const documents: Array<DocumentInterface> = all.map(($, i) => {
-      if (!elements[i]) {
-        throw new Error("Scraped docs and elements not in sync");
-      }
-      const text = $(this.selector).text();
-      const { loc: source, ...metadata } = elements[i];
-
-      // extract page metadata
-      const description = $("meta[name='description']").attr("content");
-      const title = $("meta[property='og:title']").attr("content");
-      const lang = $("meta[property='og:locale']").attr("content");
-
-      return new Document({
-        pageContent: text,
-        metadata: {
-          ...metadata,
-          description,
-          title,
-          lang,
-          source: source.trim(),
-        },
-      });
-    });
-    return documents;
-  }
-
-  async load(): Promise<Document[]> {
-    const elements = await this.parseSitemap();
-    const chunks = chunkArray(elements, this.chunkSize);
-
-    const documents: DocumentInterface[] = [];
-    for await (const chunk of chunks) {
-      const chunkedDocuments = await this._loadSitemapUrls(chunk);
-      documents.push(...chunkedDocuments);
-    }
-    return documents;
-  }
-}
diff --git a/langchain/src/document_loaders/web/sonix_audio.ts b/langchain/src/document_loaders/web/sonix_audio.ts
deleted file mode 100644
index ac05d9e2d378..000000000000
--- a/langchain/src/document_loaders/web/sonix_audio.ts
+++ /dev/null
@@ -1,74 +0,0 @@
-import { SonixSpeechRecognitionService } from "sonix-speech-recognition";
-import { SpeechToTextRequest } from "sonix-speech-recognition/lib/types.js";
-import { Document } from "@langchain/core/documents";
-import { BaseDocumentLoader } from "../base.js";
-import { logVersion020MigrationWarning } from "../../util/entrypoint_deprecation.js";
-
-/* #__PURE__ */ logVersion020MigrationWarning({
-  oldEntrypointName: "document_loaders/web/sonix_audio",
-  newPackageName: "@langchain/community",
-});
-
-/**
- * @deprecated - Import from "@langchain/community/document_loaders/web/sonix_audio" instead. This entrypoint will be removed in 0.3.0.
- *
- * A class that represents a document loader for transcribing audio files
- * using the Sonix Speech Recognition service.
- * @example
- * ```typescript
- * const loader = new SonixAudioTranscriptionLoader({
- *   sonixAuthKey: "SONIX_AUTH_KEY",
- *   request: {
- *     audioFilePath: "LOCAL_AUDIO_FILE_PATH",
- *     fileName: "FILE_NAME",
- *     language: "en",
- *   },
- * });
- * const docs = await loader.load();
- * ```
- */
-export class SonixAudioTranscriptionLoader extends BaseDocumentLoader {
-  private readonly sonixSpeechRecognitionService: SonixSpeechRecognitionService;
-
-  private readonly speechToTextRequest: SpeechToTextRequest;
-
-  constructor({
-    sonixAuthKey,
-    request: speechToTextRequest,
-  }: {
-    sonixAuthKey: string;
-    request: SpeechToTextRequest;
-  }) {
-    super();
-    this.sonixSpeechRecognitionService = new SonixSpeechRecognitionService(
-      sonixAuthKey
-    );
-    this.speechToTextRequest = speechToTextRequest;
-  }
-
-  /**
-   * Performs the speech-to-text transcription using the
-   * SonixSpeechRecognitionService and returns the transcribed text as a
-   * Document object.
-   * @returns An array of Document objects containing the transcribed text.
-   */
-  async load(): Promise<Document[]> {
-    const { text, status, error } =
-      await this.sonixSpeechRecognitionService.speechToText(
-        this.speechToTextRequest
-      );
-
-    if (status === "failed") {
-      throw new Error(`Failed to transcribe audio file. Error: ${error}`);
-    }
-
-    const document = new Document({
-      pageContent: text,
-      metadata: {
-        fileName: this.speechToTextRequest.fileName,
-      },
-    });
-
-    return [document];
-  }
-}
diff --git a/langchain/src/document_loaders/web/sort_xyz_blockchain.ts b/langchain/src/document_loaders/web/sort_xyz_blockchain.ts
deleted file mode 100644
index 27f2fa3b3201..000000000000
--- a/langchain/src/document_loaders/web/sort_xyz_blockchain.ts
+++ /dev/null
@@ -1,185 +0,0 @@
-import { Document } from "@langchain/core/documents";
-import { BaseDocumentLoader } from "../base.js";
-import { logVersion020MigrationWarning } from "../../util/entrypoint_deprecation.js";
-
-/* #__PURE__ */ logVersion020MigrationWarning({
-  oldEntrypointName: "document_loaders/web/sortxyz_blockchain",
-  newPackageName: "@langchain/community",
-});
-
-/**
- * See https://docs.sort.xyz/docs/api-keys to get your free Sort API key.
- * See https://docs.sort.xyz for more information on the available queries.
- * See https://docs.sort.xyz/reference for more information about Sort's REST API.
- */
-
-export interface Query {
-  type: "NFTMetadata" | "latestTransactions";
-  contractAddress: string;
-  blockchain: "ethereum" | "polygon" | "goerli";
-  limit?: number;
-}
-
-/**
- * Interface representing the parameters for the SortXYZBlockchainLoader
- * class.
- */
-export interface SortXYZBlockchainLoaderParams {
-  apiKey: string;
-  query: Query | string;
-}
-
-/**
- * Interface representing the response from the SortXYZ API.
- */
-export interface SortXYZBlockchainAPIResponse {
-  code: number;
-  data: {
-    durationMs: number;
-    id: string;
-    query: string;
-    records: Record<string, unknown>[];
-    recordCount: number;
-  };
-}
-
-/**
- * @deprecated - Import from "@langchain/community/document_loaders/web/sortxyz_blockchain" instead. This entrypoint will be removed in 0.3.0.
- *
- * Class representing a document loader for loading data from the SortXYZ
- * blockchain using the SortXYZ API.
- * @example
- * ```typescript
- * const blockchainLoader = new SortXYZBlockchainLoader({
- *   apiKey: "YOUR_SORTXYZ_API_KEY",
- *   query: {
- *     type: "NFTMetadata",
- *     blockchain: "ethereum",
- *     contractAddress: "0x887F3909C14DAbd9e9510128cA6cBb448E932d7f".toLowerCase(),
- *   },
- * });
- *
- * const blockchainData = await blockchainLoader.load();
- *
- * const prompt =
- *   "Describe the character with the attributes from the following json document in a 4 sentence story. ";
- * const model = new ChatOpenAI({ temperature: 0.9 })
- * const response = await model.invoke(
- *   prompt + JSON.stringify(blockchainData[0], null, 2),
- * );
- * console.log(`user > ${prompt}`);
- * console.log(`chatgpt > ${response}`);
- * ```
- */
-export class SortXYZBlockchainLoader extends BaseDocumentLoader {
-  public readonly contractAddress: string;
-
-  public readonly blockchain: string;
-
-  public readonly apiKey: string;
-
-  public readonly queryType: string;
-
-  public readonly sql: string;
-
-  public readonly limit: number;
-
-  constructor({ apiKey, query }: SortXYZBlockchainLoaderParams) {
-    super();
-
-    if (!apiKey) {
-      throw new Error(
-        `apiKey is required! Head over to https://docs.sort.xyz/docs/api-keys to get your free Sort API key.`
-      );
-    }
-
-    this.apiKey = apiKey;
-
-    if (typeof query === "string") {
-      this.sql = query;
-    } else {
-      this.contractAddress = query.contractAddress.toLowerCase();
-      this.blockchain = query.blockchain;
-      this.queryType = query.type;
-      this.limit = query.limit ?? 100;
-    }
-  }
-
-  /**
-   * Method that loads the data from the SortXYZ blockchain based on the
-   * specified query parameters. It makes requests to the SortXYZ API and
-   * returns an array of Documents representing the retrieved data.
-   * @returns Promise<Document[]> - An array of Documents representing the retrieved data.
-   */
-  public async load(): Promise<Document[]> {
-    if (this.limit > 1000) {
-      throw new Error(
-        `Limit is set too high. Please set limit to 1000 or lower.`
-      );
-    }
-
-    const docs: Document[] = [];
-    let queryOffset = 0;
-
-    // eslint-disable-next-line no-constant-condition
-    while (true) {
-      let query = "";
-
-      if (this.sql) {
-        query = this.sql;
-      } else if (this.queryType === "NFTMetadata") {
-        // All parameters here are user defined
-        query = `SELECT * FROM ${this.blockchain}.nft_metadata WHERE contract_address = '${this.contractAddress}' ORDER BY token_id DESC LIMIT ${this.limit} OFFSET ${queryOffset}`;
-      } else if (this.queryType === "latestTransactions") {
-        // All parameters here are user defined
-        query = `SELECT * FROM ${this.blockchain}.transaction t, ethereum.block b WHERE t.to_address = '${this.contractAddress}' AND b.id=t.block_id ORDER BY b.timestamp DESC LIMIT ${this.limit} OFFSET ${queryOffset}`;
-      }
-
-      try {
-        const response = await fetch("https://api.sort.xyz/v1/queries/run", {
-          method: "POST",
-          headers: {
-            "x-api-key": this.apiKey as string,
-            Accept: "application/json",
-            "Content-Type": "application/json",
-          },
-          body: JSON.stringify({ query }),
-        });
-
-        const fullResponse = await response.json();
-
-        // Reached the end, no more records
-        if (
-          fullResponse &&
-          fullResponse.data &&
-          fullResponse.data.records.length === 0
-        ) {
-          break;
-        }
-
-        const data = fullResponse?.data || [];
-
-        for (let i = 0; i < data.records.length; i += 1) {
-          const doc = new Document({
-            pageContent: JSON.stringify(data.records[i], null, 2),
-            metadata: {
-              row: i,
-            },
-          });
-
-          docs.push(doc);
-        }
-
-        queryOffset += this.limit;
-
-        if (queryOffset >= this.limit || this.sql) {
-          break;
-        }
-      } catch (error) {
-        console.error("Error:", error);
-      }
-    }
-
-    return docs;
-  }
-}
diff --git a/langchain/src/document_loaders/web/youtube.ts b/langchain/src/document_loaders/web/youtube.ts
deleted file mode 100644
index baa058c7f650..000000000000
--- a/langchain/src/document_loaders/web/youtube.ts
+++ /dev/null
@@ -1,134 +0,0 @@
-import { TranscriptResponse, YoutubeTranscript } from "youtube-transcript";
-import { Innertube } from "youtubei.js";
-import { Document } from "@langchain/core/documents";
-import { BaseDocumentLoader } from "../base.js";
-import { logVersion020MigrationWarning } from "../../util/entrypoint_deprecation.js";
-
-/* #__PURE__ */ logVersion020MigrationWarning({
-  oldEntrypointName: "document_loaders/web/youtube",
-  newPackageName: "@langchain/community",
-});
-
-/**
- * Configuration options for the YoutubeLoader class. Includes properties
- * such as the videoId, language, and addVideoInfo.
- */
-interface YoutubeConfig {
-  videoId: string;
-  language?: string;
-  addVideoInfo?: boolean;
-}
-
-/**
- * Metadata of a YouTube video. Includes properties such as the source
- * (videoId), description, title, view_count, author, and category.
- */
-interface VideoMetadata {
-  source: string;
-  description?: string;
-  title?: string;
-  view_count?: number;
-  author?: string;
-  category?: string;
-}
-
-/**
- * @deprecated - Import from "@langchain/community/document_loaders/web/youtube" instead. This entrypoint will be removed in 0.3.0.
- *
- * A document loader for loading data from YouTube videos. It uses the
- * youtube-transcript and youtubei.js libraries to fetch the transcript
- * and video metadata.
- * @example
- * ```typescript
- * const loader = new YoutubeLoader(
- *   "https:
- *   "en",
- *   true,
- * );
- * const docs = await loader.load();
- * ```
- */
-export class YoutubeLoader extends BaseDocumentLoader {
-  private videoId: string;
-
-  private language?: string;
-
-  private addVideoInfo: boolean;
-
-  constructor(config: YoutubeConfig) {
-    super();
-    this.videoId = config.videoId;
-    this.language = config?.language;
-    this.addVideoInfo = config?.addVideoInfo ?? false;
-  }
-
-  /**
-   * Extracts the videoId from a YouTube video URL.
-   * @param url The URL of the YouTube video.
-   * @returns The videoId of the YouTube video.
-   */
-  private static getVideoID(url: string): string {
-    const match = url.match(
-      /.*(?:youtu.be\/|v\/|u\/\w\/|embed\/|watch\?v=)([^#&?]*).*/
-    );
-    if (match !== null && match[1].length === 11) {
-      return match[1];
-    } else {
-      throw new Error("Failed to get youtube video id from the url");
-    }
-  }
-
-  /**
-   * Creates a new instance of the YoutubeLoader class from a YouTube video
-   * URL.
-   * @param url The URL of the YouTube video.
-   * @param config Optional configuration options for the YoutubeLoader instance, excluding the videoId.
-   * @returns A new instance of the YoutubeLoader class.
-   */
-  static createFromUrl(
-    url: string,
-    config?: Omit<YoutubeConfig, "videoId">
-  ): YoutubeLoader {
-    const videoId = YoutubeLoader.getVideoID(url);
-    return new YoutubeLoader({ ...config, videoId });
-  }
-
-  /**
-   * Loads the transcript and video metadata from the specified YouTube
-   * video. It uses the youtube-transcript library to fetch the transcript
-   * and the youtubei.js library to fetch the video metadata.
-   * @returns An array of Documents representing the retrieved data.
-   */
-  async load(): Promise<Document[]> {
-    let transcript: TranscriptResponse[] | undefined;
-    const metadata: VideoMetadata = {
-      source: this.videoId,
-    };
-    try {
-      transcript = await YoutubeTranscript.fetchTranscript(this.videoId, {
-        lang: this.language,
-      });
-      if (transcript === undefined) {
-        throw new Error("Transcription not found");
-      }
-      if (this.addVideoInfo) {
-        const youtube = await Innertube.create();
-        const info = (await youtube.getBasicInfo(this.videoId)).basic_info;
-        metadata.description = info.short_description;
-        metadata.title = info.title;
-        metadata.view_count = info.view_count;
-        metadata.author = info.author;
-      }
-    } catch (e: unknown) {
-      throw new Error(
-        `Failed to get YouTube video transcription: ${(e as Error).message}`
-      );
-    }
-    const document = new Document({
-      pageContent: transcript.map((item) => item.text).join(" "),
-      metadata,
-    });
-
-    return [document];
-  }
-}
diff --git a/langchain/src/load/import_constants.ts b/langchain/src/load/import_constants.ts
index 5b8817ff234c..40b10e81e3f0 100644
--- a/langchain/src/load/import_constants.ts
+++ b/langchain/src/load/import_constants.ts
@@ -11,47 +11,11 @@ export const optionalImportEntrypoints: string[] = [
   "langchain/chains/sql_db",
   "langchain/chains/graph_qa/cypher",
   "langchain/chat_models/universal",
-  "langchain/document_loaders/web/apify_dataset",
-  "langchain/document_loaders/web/assemblyai",
-  "langchain/document_loaders/web/azure_blob_storage_container",
-  "langchain/document_loaders/web/azure_blob_storage_file",
-  "langchain/document_loaders/web/browserbase",
-  "langchain/document_loaders/web/cheerio",
-  "langchain/document_loaders/web/puppeteer",
-  "langchain/document_loaders/web/playwright",
-  "langchain/document_loaders/web/college_confidential",
-  "langchain/document_loaders/web/gitbook",
-  "langchain/document_loaders/web/hn",
-  "langchain/document_loaders/web/imsdb",
-  "langchain/document_loaders/web/figma",
-  "langchain/document_loaders/web/firecrawl",
-  "langchain/document_loaders/web/github",
-  "langchain/document_loaders/web/notiondb",
-  "langchain/document_loaders/web/notionapi",
-  "langchain/document_loaders/web/pdf",
-  "langchain/document_loaders/web/recursive_url",
-  "langchain/document_loaders/web/s3",
-  "langchain/document_loaders/web/sitemap",
-  "langchain/document_loaders/web/sonix_audio",
-  "langchain/document_loaders/web/confluence",
-  "langchain/document_loaders/web/couchbase",
-  "langchain/document_loaders/web/youtube",
+  "langchain/document_loaders/fs/buffer",
   "langchain/document_loaders/fs/directory",
+  "langchain/document_loaders/fs/json",
   "langchain/document_loaders/fs/multi_file",
-  "langchain/document_loaders/fs/buffer",
-  "langchain/document_loaders/fs/chatgpt",
   "langchain/document_loaders/fs/text",
-  "langchain/document_loaders/fs/json",
-  "langchain/document_loaders/fs/srt",
-  "langchain/document_loaders/fs/pdf",
-  "langchain/document_loaders/fs/docx",
-  "langchain/document_loaders/fs/epub",
-  "langchain/document_loaders/fs/csv",
-  "langchain/document_loaders/fs/notion",
-  "langchain/document_loaders/fs/obsidian",
-  "langchain/document_loaders/fs/unstructured",
-  "langchain/document_loaders/fs/openai_whisper_audio",
-  "langchain/document_loaders/fs/pptx",
   "langchain/sql_db",
   "langchain/output_parsers/expression",
   "langchain/retrievers/self_query",
@@ -61,5 +25,4 @@ export const optionalImportEntrypoints: string[] = [
   "langchain/storage/file_system",
   "langchain/hub",
   "langchain/experimental/prompts/handlebars",
-  "langchain/experimental/tools/pyinterpreter",
 ];
diff --git a/langchain/src/load/import_map.ts b/langchain/src/load/import_map.ts
index 115793fcac92..57b871aa7537 100644
--- a/langchain/src/load/import_map.ts
+++ b/langchain/src/load/import_map.ts
@@ -25,7 +25,6 @@ export * as embeddings__fake from "../embeddings/fake.js";
 export * as vectorstores__memory from "../vectorstores/memory.js";
 export * as text_splitter from "../text_splitter.js";
 export * as memory from "../memory/index.js";
-export * as memory__index from "../memory/index.js";
 export * as memory__chat_memory from "../memory/chat_memory.js";
 export * as document_loaders__base from "../document_loaders/base.js";
 export * as document_transformers__openai_functions from "../document_transformers/openai_functions.js";
diff --git a/langchain/src/output_parsers/openai_tools.ts b/langchain/src/output_parsers/openai_tools.ts
index 67e922b9d81b..4a9324fb1864 100644
--- a/langchain/src/output_parsers/openai_tools.ts
+++ b/langchain/src/output_parsers/openai_tools.ts
@@ -1,6 +1,9 @@
 import { BaseLLMOutputParser } from "@langchain/core/output_parsers";
 import type { ChatGeneration } from "@langchain/core/outputs";
 
+/**
+ * @deprecated Import from "@langchain/core/output_parsers/openai_tools"
+ */
 export type ParsedToolCall = {
   id?: string;
 
@@ -16,13 +19,16 @@ export type ParsedToolCall = {
   arguments: Record<string, any>; // eslint-disable-line @typescript-eslint/no-explicit-any
 };
 
+/**
+ * @deprecated Import from "@langchain/core/output_parsers/openai_tools"
+ */
 export type JsonOutputToolsParserParams = {
   /** Whether to return the tool call id. */
   returnId?: boolean;
 };
 
 /**
- * Class for parsing the output of a tool-calling LLM into a JSON object.
+ * @deprecated Import from "@langchain/core/output_parsers/openai_tools"
  */
 export class JsonOutputToolsParser extends BaseLLMOutputParser<
   ParsedToolCall[]
@@ -98,10 +104,8 @@ export type JsonOutputKeyToolsParserParams = {
 };
 
 /**
- * Class for parsing the output of a tool-calling LLM into a JSON object if you are
- * expecting only a single tool to be called.
+ * @deprecated Import from "@langchain/core/output_parsers/openai_tools"
  */
-// eslint-disable-next-line @typescript-eslint/no-explicit-any
 export class JsonOutputKeyToolsParser extends BaseLLMOutputParser<any> {
   static lc_name() {
     return "JsonOutputKeyToolsParser";
diff --git a/langchain/src/retrievers/multi_query.ts b/langchain/src/retrievers/multi_query.ts
index eef56ff3b7a7..4d8a764fd1b8 100644
--- a/langchain/src/retrievers/multi_query.ts
+++ b/langchain/src/retrievers/multi_query.ts
@@ -67,6 +67,7 @@ Original question: {question}`,
 
 export interface MultiQueryRetrieverInput extends BaseRetrieverInput {
   retriever: BaseRetrieverInterface;
+  /** @deprecated Pass a custom prompt into `.fromLLM` instead. */
   llmChain: LLMChain<LineList>;
   queryCount?: number;
   parserKey?: string;
diff --git a/langchain/src/retrievers/self_query/chroma.ts b/langchain/src/retrievers/self_query/chroma.ts
deleted file mode 100644
index 1fa17f55fead..000000000000
--- a/langchain/src/retrievers/self_query/chroma.ts
+++ /dev/null
@@ -1,53 +0,0 @@
-import {
-  BasicTranslator,
-  Comparators,
-  Operators,
-} from "@langchain/core/structured_query";
-import { VectorStore } from "@langchain/core/vectorstores";
-import { logVersion020MigrationWarning } from "../../util/entrypoint_deprecation.js";
-
-/* #__PURE__ */ logVersion020MigrationWarning({
-  oldEntrypointName: "retrievers/self_query/chroma",
-  newEntrypointName: "structured_query/chroma",
-  newPackageName: "@langchain/community",
-});
-
-/**
- * Specialized translator for the Chroma vector database. It extends the
- * BasicTranslator class and translates internal query language elements
- * to valid filters. The class defines a subset of allowed logical
- * operators and comparators that can be used in the translation process.
- * @example
- * ```typescript
- * const chromaTranslator = new ChromaTranslator();
- * const selfQueryRetriever = new SelfQueryRetriever({
- *   llm: new ChatOpenAI(),
- *   vectorStore: new Chroma(),
- *   documentContents: "Brief summary of a movie",
- *   attributeInfo: [],
- *   structuredQueryTranslator: chromaTranslator,
- * });
- *
- * const relevantDocuments = await selfQueryRetriever.getRelevantDocuments(
- *   "Which movies are directed by Greta Gerwig?",
- * );
- * ```
- */
-// eslint-disable-next-line @typescript-eslint/no-explicit-any
-export class ChromaTranslator<
-  T extends VectorStore
-> extends BasicTranslator<T> {
-  constructor() {
-    super({
-      allowedOperators: [Operators.and, Operators.or],
-      allowedComparators: [
-        Comparators.eq,
-        Comparators.ne,
-        Comparators.gt,
-        Comparators.gte,
-        Comparators.lt,
-        Comparators.lte,
-      ],
-    });
-  }
-}
diff --git a/langchain/src/retrievers/self_query/pinecone.ts b/langchain/src/retrievers/self_query/pinecone.ts
deleted file mode 100644
index b52dbddcb95f..000000000000
--- a/langchain/src/retrievers/self_query/pinecone.ts
+++ /dev/null
@@ -1,52 +0,0 @@
-import type { VectorStoreInterface } from "@langchain/core/vectorstores";
-import {
-  BasicTranslator,
-  Comparators,
-  Operators,
-} from "@langchain/core/structured_query";
-import { logVersion020MigrationWarning } from "../../util/entrypoint_deprecation.js";
-
-/* #__PURE__ */ logVersion020MigrationWarning({
-  oldEntrypointName: "retrievers/self_query/pinecone",
-  newEntrypointName: "",
-  newPackageName: "@langchain/pinecone",
-});
-
-/**
- * Specialized translator class that extends the BasicTranslator. It is
- * designed to work with PineconeStore, a type of vector store in
- * LangChain. The class is initialized with a set of allowed operators and
- * comparators, which are used in the translation process to construct
- * queries and compare results.
- * @example
- * ```typescript
- * const selfQueryRetriever = SelfQueryRetriever.fromLLM({
- *   llm: new ChatOpenAI(),
- *   vectorStore: new PineconeStore(),
- *   documentContents: "Brief summary of a movie",
- *   attributeInfo: [],
- *   structuredQueryTranslator: new PineconeTranslator(),
- * });
- *
- * const queryResult = await selfQueryRetriever.getRelevantDocuments(
- *   "Which movies are directed by Greta Gerwig?",
- * );
- * ```
- */
-export class PineconeTranslator<
-  T extends VectorStoreInterface
-> extends BasicTranslator<T> {
-  constructor() {
-    super({
-      allowedOperators: [Operators.and, Operators.or],
-      allowedComparators: [
-        Comparators.eq,
-        Comparators.ne,
-        Comparators.gt,
-        Comparators.gte,
-        Comparators.lt,
-        Comparators.lte,
-      ],
-    });
-  }
-}
diff --git a/langchain/src/retrievers/self_query/supabase.ts b/langchain/src/retrievers/self_query/supabase.ts
deleted file mode 100644
index 4877702dd650..000000000000
--- a/langchain/src/retrievers/self_query/supabase.ts
+++ /dev/null
@@ -1,337 +0,0 @@
-/* eslint-disable @typescript-eslint/no-explicit-any */
-
-import {
-  isFilterEmpty,
-  isFloat,
-  isInt,
-  isObject,
-  isString,
-  BaseTranslator,
-  Comparator,
-  Comparators,
-  Comparison,
-  Operation,
-  Operator,
-  Operators,
-  StructuredQuery,
-} from "@langchain/core/structured_query";
-import { VectorStore } from "@langchain/core/vectorstores";
-import {
-  ProxyParamsDuplicator,
-  convertObjectFilterToStructuredQuery,
-} from "./supabase_utils.js";
-import { logVersion020MigrationWarning } from "../../util/entrypoint_deprecation.js";
-
-/* #__PURE__ */ logVersion020MigrationWarning({
-  oldEntrypointName: "retrievers/self_query/supabase",
-  newEntrypointName: "structured_query/supabase",
-  newPackageName: "@langchain/community",
-});
-
-/**
- * Represents the possible values that can be used in a comparison in a
- * structured query. It can be a string or a number.
- */
-type ValueType = {
-  eq: string | number;
-  ne: string | number;
-  lt: string | number;
-  lte: string | number;
-  gt: string | number;
-  gte: string | number;
-};
-
-type SupabaseFilterRPCCall = any;
-
-type SupabaseMetadata = any;
-
-/**
- * A specialized translator designed to work with Supabase, extending the
- * BaseTranslator class. It translates structured queries into a format
- * that can be understood by the Supabase database.
- * @example
- * ```typescript
- * const selfQueryRetriever = new SelfQueryRetriever({
- *   llm: new ChatOpenAI(),
- *   vectorStore: new SupabaseVectorStore(),
- *   documentContents: "Brief summary of a movie",
- *   attributeInfo: [],
- *   structuredQueryTranslator: new SupabaseTranslator(),
- * });
- *
- * const queryResult = await selfQueryRetriever.getRelevantDocuments(
- *   "Which movies are directed by Greta Gerwig?",
- * );
- * ```
- */
-export class SupabaseTranslator<
-  T extends VectorStore
-> extends BaseTranslator<T> {
-  declare VisitOperationOutput: SupabaseFilterRPCCall;
-
-  declare VisitComparisonOutput: SupabaseFilterRPCCall;
-
-  allowedOperators: Operator[] = [Operators.and, Operators.or];
-
-  allowedComparators: Comparator[] = [
-    Comparators.eq,
-    Comparators.ne,
-    Comparators.gt,
-    Comparators.gte,
-    Comparators.lt,
-    Comparators.lte,
-  ];
-
-  formatFunction(): string {
-    throw new Error("Not implemented");
-  }
-
-  /**
-   * Returns a function that applies the appropriate comparator operation on
-   * the attribute and value provided. The function returned is used to
-   * filter data in a Supabase database.
-   * @param comparator The comparator to be used in the operation.
-   * @returns A function that applies the comparator operation on the attribute and value provided.
-   */
-  getComparatorFunction<C extends Comparator>(
-    comparator: Comparator
-  ): (attr: string, value: ValueType[C]) => SupabaseFilterRPCCall {
-    switch (comparator) {
-      case Comparators.eq: {
-        return (attr: string, value: ValueType[C]) => (rpc: any) =>
-          rpc.eq(this.buildColumnName(attr, value), value);
-      }
-      case Comparators.ne: {
-        return (attr: string, value: ValueType[C]) => (rpc: any) =>
-          rpc.neq(this.buildColumnName(attr, value), value);
-      }
-      case Comparators.gt: {
-        return (attr: string, value: ValueType[C]) => (rpc: any) =>
-          rpc.gt(this.buildColumnName(attr, value), value);
-      }
-      case Comparators.gte: {
-        return (attr: string, value: ValueType[C]) => (rpc: any) =>
-          rpc.gte(this.buildColumnName(attr, value), value);
-      }
-      case Comparators.lt: {
-        return (attr: string, value: ValueType[C]) => (rpc: any) =>
-          rpc.lt(this.buildColumnName(attr, value), value);
-      }
-      case Comparators.lte: {
-        return (attr: string, value: ValueType[C]) => (rpc: any) =>
-          rpc.lte(this.buildColumnName(attr, value), value);
-      }
-      default: {
-        throw new Error("Unknown comparator");
-      }
-    }
-  }
-
-  /**
-   * Builds a column name based on the attribute and value provided. The
-   * column name is used in filtering data in a Supabase database.
-   * @param attr The attribute to be used in the column name.
-   * @param value The value to be used in the column name.
-   * @param includeType Whether to include the data type in the column name.
-   * @returns The built column name.
-   */
-  buildColumnName(attr: string, value: string | number, includeType = true) {
-    let column = "";
-    if (isString(value)) {
-      column = `metadata->>${attr}`;
-    } else if (isInt(value)) {
-      column = `metadata->${attr}${includeType ? "::int" : ""}`;
-    } else if (isFloat(value)) {
-      column = `metadata->${attr}${includeType ? "::float" : ""}`;
-    } else {
-      throw new Error("Data type not supported");
-    }
-
-    return column;
-  }
-
-  /**
-   * Visits an operation and returns a string representation of it. This is
-   * used in translating a structured query into a format that can be
-   * understood by Supabase.
-   * @param operation The operation to be visited.
-   * @returns A string representation of the operation.
-   */
-  visitOperationAsString(operation: Operation): string {
-    const { args } = operation;
-    if (!args) {
-      return "";
-    }
-    return args
-      ?.reduce((acc, arg) => {
-        if (arg.exprName === "Comparison") {
-          acc.push(this.visitComparisonAsString(arg as Comparison));
-        } else if (arg.exprName === "Operation") {
-          const { operator: innerOperator } = arg as Operation;
-          acc.push(
-            `${innerOperator}(${this.visitOperationAsString(arg as Operation)})`
-          );
-        }
-        return acc;
-      }, [] as string[])
-      .join(",");
-  }
-
-  /**
-   * Visits an operation and returns a function that applies the operation
-   * on a Supabase database. This is used in translating a structured query
-   * into a format that can be understood by Supabase.
-   * @param operation The operation to be visited.
-   * @returns A function that applies the operation on a Supabase database.
-   */
-  visitOperation(operation: Operation): this["VisitOperationOutput"] {
-    const { operator, args } = operation;
-    if (this.allowedOperators.includes(operator)) {
-      if (operator === Operators.and) {
-        if (!args) {
-          return (rpc: any) => rpc;
-        }
-        const filter: SupabaseFilterRPCCall = (rpc: any) =>
-          args.reduce((acc, arg) => {
-            const filter = arg.accept(this) as SupabaseFilterRPCCall;
-            return filter(acc);
-          }, rpc);
-        return filter;
-      } else if (operator === Operators.or) {
-        return (rpc: any) => rpc.or(this.visitOperationAsString(operation));
-      } else {
-        throw new Error("Unknown operator");
-      }
-    } else {
-      throw new Error("Operator not allowed");
-    }
-  }
-
-  /**
-   * Visits a comparison and returns a string representation of it. This is
-   * used in translating a structured query into a format that can be
-   * understood by Supabase.
-   * @param comparison The comparison to be visited.
-   * @returns A string representation of the comparison.
-   */
-  visitComparisonAsString(comparison: Comparison): string {
-    let { value } = comparison;
-    const { comparator: _comparator, attribute } = comparison;
-    let comparator = _comparator as string;
-    if (comparator === Comparators.ne) {
-      comparator = "neq";
-    }
-    if (Array.isArray(value)) {
-      value = `(${value
-        .map((v) => {
-          if (typeof v === "string" && /[,()]/.test(v)) return `"${v}"`;
-          return v;
-        })
-        .join(",")})`;
-    }
-    return `${this.buildColumnName(
-      attribute,
-      value,
-      false
-    )}.${comparator}.${value}}`;
-  }
-
-  /**
-   * Visits a comparison and returns a function that applies the comparison
-   * on a Supabase database. This is used in translating a structured query
-   * into a format that can be understood by Supabase.
-   * @param comparison The comparison to be visited.
-   * @returns A function that applies the comparison on a Supabase database.
-   */
-  visitComparison(comparison: Comparison): this["VisitComparisonOutput"] {
-    const { comparator, attribute, value } = comparison;
-    if (this.allowedComparators.includes(comparator)) {
-      const comparatorFunction = this.getComparatorFunction(
-        comparator as Comparator
-      );
-      return comparatorFunction(attribute, value);
-    } else {
-      throw new Error("Comparator not allowed");
-    }
-  }
-
-  /**
-   * Visits a structured query and returns a function that applies the query
-   * on a Supabase database. This is used in translating a structured query
-   * into a format that can be understood by Supabase.
-   * @param query The structured query to be visited.
-   * @returns A function that applies the query on a Supabase database.
-   */
-  visitStructuredQuery(
-    query: StructuredQuery
-  ): this["VisitStructuredQueryOutput"] {
-    if (!query.filter) {
-      return {};
-    }
-    const filterFunction = query.filter?.accept(this);
-    return { filter: (filterFunction as SupabaseFilterRPCCall) ?? {} };
-  }
-
-  /**
-   * Merges two filters into one. The merged filter can be used to filter
-   * data in a Supabase database.
-   * @param defaultFilter The default filter to be merged.
-   * @param generatedFilter The generated filter to be merged.
-   * @param mergeType The type of merge to be performed. It can be 'and', 'or', or 'replace'.
-   * @returns The merged filter.
-   */
-  mergeFilters(
-    defaultFilter: SupabaseFilterRPCCall | SupabaseMetadata | undefined,
-    generatedFilter: SupabaseFilterRPCCall | undefined,
-    mergeType = "and"
-  ): SupabaseFilterRPCCall | SupabaseMetadata | undefined {
-    if (isFilterEmpty(defaultFilter) && isFilterEmpty(generatedFilter)) {
-      return undefined;
-    }
-    if (isFilterEmpty(defaultFilter) || mergeType === "replace") {
-      if (isFilterEmpty(generatedFilter)) {
-        return undefined;
-      }
-      return generatedFilter;
-    }
-    if (isFilterEmpty(generatedFilter)) {
-      if (mergeType === "and") {
-        return undefined;
-      }
-      return defaultFilter;
-    }
-
-    let myDefaultFilter = defaultFilter;
-    if (isObject(defaultFilter)) {
-      const { filter } = this.visitStructuredQuery(
-        convertObjectFilterToStructuredQuery(defaultFilter)
-      );
-
-      // just in case the built filter is empty somehow
-      if (isFilterEmpty(filter)) {
-        if (isFilterEmpty(generatedFilter)) {
-          return undefined;
-        }
-        return generatedFilter;
-      }
-      myDefaultFilter = filter;
-    }
-    // After this point, myDefaultFilter will always be SupabaseFilterRPCCall
-    if (mergeType === "or") {
-      return (rpc: any) => {
-        const defaultFlattenedParams = ProxyParamsDuplicator.getFlattenedParams(
-          rpc,
-          myDefaultFilter as SupabaseFilterRPCCall
-        );
-        const generatedFlattenedParams =
-          ProxyParamsDuplicator.getFlattenedParams(rpc, generatedFilter);
-        return rpc.or(`${defaultFlattenedParams},${generatedFlattenedParams}`);
-      };
-    } else if (mergeType === "and") {
-      return (rpc: any) =>
-        generatedFilter((myDefaultFilter as SupabaseFilterRPCCall)(rpc));
-    } else {
-      throw new Error("Unknown merge type");
-    }
-  }
-}
diff --git a/langchain/src/retrievers/self_query/supabase_utils.ts b/langchain/src/retrievers/self_query/supabase_utils.ts
deleted file mode 100644
index 643f799134ae..000000000000
--- a/langchain/src/retrievers/self_query/supabase_utils.ts
+++ /dev/null
@@ -1,285 +0,0 @@
-/* eslint-disable @typescript-eslint/no-explicit-any */
-import {
-  Comparators,
-  Comparison,
-  Operation,
-  Operators,
-  StructuredQuery,
-} from "@langchain/core/structured_query";
-
-// eslint-disable-next-line @typescript-eslint/no-explicit-any
-type SupabaseFilterProps = any;
-
-/**
- * Utility class used to duplicate parameters for a proxy object,
- * specifically designed to work with `SupabaseFilter` objects. It
- * contains methods to handle different types of operations such as "or",
- * "filter", "in", "contains", "textSearch", "match", "not", and default
- * operations.
- */
-export class ProxyParamsDuplicator {
-  duplicationAllowedOps: string[] = [
-    "eq",
-    "neq",
-    "lt",
-    "lte",
-    "gt",
-    "gte",
-    "like",
-    "ilike",
-    "or",
-    "in",
-    "contains",
-    "match",
-    "not",
-    "textSearch",
-    "filter",
-  ];
-
-  values: [string, string][] = [];
-
-  /**
-   * Creates a proxy handler for a `SupabaseFilter` object. The handler
-   * intercepts get operations and applies specific logic based on the
-   * property being accessed.
-   * @returns A proxy handler for a `SupabaseFilter` object.
-   */
-  buildProxyHandler() {
-    const proxyHandler: ProxyHandler<any> = {
-      get: (target, prop, receiver) => {
-        if (typeof target[prop as SupabaseFilterProps] === "function") {
-          // eslint-disable-next-line @typescript-eslint/no-explicit-any
-          return (...args: any[]) => {
-            if (this.duplicationAllowedOps.includes(String(prop))) {
-              switch (String(prop)) {
-                case "or":
-                  // args[0]: filters, args[1]: { foreignTable }
-                  this.addOrClause(args[0], args[1]);
-                  break;
-                case "filter":
-                  // args[0]: column, args[1]: operator, args[2]: value
-                  this.addFilterClause(args[0], args[1], args[2]);
-                  break;
-                case "in":
-                  // args[0]: column, args[1]: values
-                  this.addInClause(args[0], args[1]);
-                  break;
-                case "contains":
-                  // args[0]: column, args[1]: value
-                  this.addContainsClause(args[0], args[1]);
-                  break;
-                case "textSearch":
-                  // args[0]: column, args[1]: query, args[2]: { config, type }
-                  this.addTextSearchClause(args[0], args[1], args[2]);
-                  break;
-                case "match":
-                  // args[0]: query
-                  this.addMatchClause(args[0]);
-                  break;
-                case "not":
-                  // args[0]: column, args[1]: operator, args[2]: value
-                  this.addNotClause(args[0], args[1], args[2]);
-                  break;
-                default:
-                  // args[0]: column, args[1]: value
-                  this.addDefaultOpClause(prop as string, args[0], args[1]);
-              }
-              return new Proxy(target, proxyHandler);
-            } else {
-              throw new Error(
-                "Filter operation not supported for 'or' mergeFiltersOperator"
-              );
-            }
-          };
-        } else {
-          return Reflect.get(target, prop, receiver);
-        }
-      },
-    };
-
-    return proxyHandler;
-  }
-
-  /**
-   * Removes type annotations from a value string.
-   * @param value The value string to clean.
-   * @returns The cleaned value string.
-   */
-  removeType(value: string) {
-    let cleanedValue = value;
-    if (cleanedValue.includes("::float")) {
-      cleanedValue = cleanedValue.replace("::float", "");
-    }
-    if (cleanedValue.includes("::int")) {
-      cleanedValue = cleanedValue.replace("::int", "");
-    }
-    return cleanedValue;
-  }
-
-  /**
-   * Adds a default operation clause to the values array.
-   * @param prop The operation property.
-   * @param column The column to apply the operation to.
-   * @param value The value for the operation.
-   */
-  addDefaultOpClause(prop: string, column: string, value: unknown) {
-    this.values.push([this.removeType(column), `${String(prop)}.${value}`]);
-  }
-
-  /**
-   * Adds an 'or' clause to the values array.
-   * @param filters The filters for the 'or' clause.
-   * @param foreignTable Optional foreign table for the 'or' clause.
-   */
-  addOrClause(
-    filters: string,
-    { foreignTable }: { foreignTable?: string } = {}
-  ) {
-    const key = foreignTable ? `${foreignTable}.or` : "or";
-    this.values.push([this.removeType(key), `(${filters})`]);
-  }
-
-  /**
-   * Adds a 'filter' clause to the values array.
-   * @param column The column to apply the filter to.
-   * @param operator The operator for the filter.
-   * @param value The value for the filter.
-   */
-  addFilterClause(column: string, operator: string, value: unknown) {
-    this.values.push([this.removeType(column), `${operator}.${value}`]);
-  }
-
-  /**
-   * Adds an 'in' clause to the values array.
-   * @param column The column to apply the 'in' clause to.
-   * @param values The values for the 'in' clause.
-   */
-  addInClause(column: string, values: unknown[]) {
-    const cleanedValues = values
-      .map((s) => {
-        if (typeof s === "string" && /[,()]/.test(s)) return `"${s}"`;
-        else return `${s}`;
-      })
-      .join(",");
-    this.values.push([this.removeType(column), `in.(${cleanedValues})`]);
-  }
-
-  /**
-   * Adds a 'contains' clause to the values array.
-   * @param column The column to apply the 'contains' clause to.
-   * @param value The value for the 'contains' clause.
-   */
-  addContainsClause(column: string, value: unknown) {
-    if (typeof value === "string") {
-      this.values.push([this.removeType(column), `cs.${value}`]);
-    } else if (Array.isArray(value)) {
-      this.values.push([this.removeType(column), `cs.{${value.join(",")}}`]);
-    } else {
-      this.values.push([
-        this.removeType(column),
-        `cs.${JSON.stringify(value)}`,
-      ]);
-    }
-  }
-
-  /**
-   * Adds a 'textSearch' clause to the values array.
-   * @param column The column to apply the 'textSearch' clause to.
-   * @param query The query for the 'textSearch' clause.
-   * @param config Optional configuration for the 'textSearch' clause.
-   * @param type Optional type for the 'textSearch' clause.
-   */
-  addTextSearchClause(
-    column: string,
-    query: string[],
-    {
-      config,
-      type,
-    }: { config?: string; type?: "plain" | "phrase" | "websearch" } = {}
-  ) {
-    let typePart = "";
-    if (type === "plain") {
-      typePart = "pl";
-    } else if (type === "phrase") {
-      typePart = "ph";
-    } else if (type === "websearch") {
-      typePart = "w";
-    }
-    const configPart = config === undefined ? "" : `(${config})`;
-    this.values.push([
-      this.removeType(column),
-      `${typePart}fts${configPart}.${query}`,
-    ]);
-  }
-
-  /**
-   * Adds a 'not' clause to the values array.
-   * @param column The column to apply the 'not' clause to.
-   * @param operator The operator for the 'not' clause.
-   * @param value The value for the 'not' clause.
-   */
-  addNotClause(column: string, operator: string, value: unknown) {
-    this.values.push([column, `not.${operator}.${value}`]);
-  }
-
-  /**
-   * Adds a 'match' clause to the values array.
-   * @param query The query for the 'match' clause.
-   */
-  addMatchClause(query: Record<string, unknown>) {
-    Object.entries(query).forEach(([column, value]) => {
-      this.values.push([column, `eq.${value}`]);
-    });
-  }
-
-  /**
-   * Returns the flattened parameters as a string.
-   * @returns The flattened parameters as a string.
-   */
-  flattenedParams() {
-    const mapped = this.values.map(([k, v]) => `${k}.${v}`);
-    if (mapped.length === 1) return mapped[0];
-    return `and(${mapped.join(",")})`;
-  }
-
-  /**
-   * Gets flattened parameters from a `SupabaseFilter` and a
-   * `SupabaseFilterRPCCall`.
-   * @param rpc The `SupabaseFilter` object.
-   * @param filter The `SupabaseFilterRPCCall` object.
-   * @returns The flattened parameters as a string.
-   */
-  static getFlattenedParams(
-    // eslint-disable-next-line @typescript-eslint/no-explicit-any
-    rpc: any,
-    // eslint-disable-next-line @typescript-eslint/no-explicit-any
-    filter: any
-  ) {
-    const proxiedDuplicator = new ProxyParamsDuplicator();
-    const proxiedRpc = new Proxy(rpc, proxiedDuplicator.buildProxyHandler());
-    void filter(proxiedRpc);
-    return proxiedDuplicator.flattenedParams();
-  }
-}
-
-/**
- * Converts a `SupabaseMetadata` object into a `StructuredQuery` object.
- * The function creates a new `StructuredQuery` object and uses the
- * `Operation` and `Comparison` classes to build the query.
- */
-export function convertObjectFilterToStructuredQuery(
-  // eslint-disable-next-line @typescript-eslint/no-explicit-any
-  objFilter: any
-): StructuredQuery {
-  return new StructuredQuery(
-    "",
-    new Operation(
-      Operators.and,
-      Object.entries(objFilter).map(
-        // eslint-disable-next-line @typescript-eslint/no-explicit-any
-        ([column, value]) =>
-          new Comparison(Comparators.eq, column, value as any)
-      )
-    )
-  );
-}
diff --git a/langchain/src/retrievers/self_query/vectara.ts b/langchain/src/retrievers/self_query/vectara.ts
deleted file mode 100644
index c02ab2bebbd8..000000000000
--- a/langchain/src/retrievers/self_query/vectara.ts
+++ /dev/null
@@ -1,192 +0,0 @@
-/* eslint-disable @typescript-eslint/no-explicit-any */
-
-import {
-  BaseTranslator,
-  isFilterEmpty,
-  Comparator,
-  Comparators,
-  Comparison,
-  NOT,
-  Operation,
-  Operator,
-  Operators,
-  StructuredQuery,
-  Visitor,
-} from "@langchain/core/structured_query";
-import { VectorStore } from "@langchain/core/vectorstores";
-import { logVersion020MigrationWarning } from "../../util/entrypoint_deprecation.js";
-
-/* #__PURE__ */ logVersion020MigrationWarning({
-  oldEntrypointName: "retrievers/self_query/vectara",
-  newEntrypointName: "structured_query/vectara",
-  newPackageName: "@langchain/community",
-});
-
-type AllowedOperator = Exclude<Operator, NOT>;
-
-export type VectaraVisitorResult =
-  | VectaraOperationResult
-  | VectaraComparisonResult
-  | VectaraVisitorStructuredQueryResult;
-// eslint-disable-next-line @typescript-eslint/ban-types
-export type VectaraOperationResult = String;
-// eslint-disable-next-line @typescript-eslint/ban-types
-export type VectaraComparisonResult = String;
-export type VectaraVisitorStructuredQueryResult = {
-  filter?: { filter?: VectaraOperationResult | VectaraComparisonResult };
-};
-
-type Value = number | string;
-function processValue(value: Value): string {
-  /** Convert a value to a string and add single quotes if it is a string. */
-  if (typeof value === "string") {
-    return `'${value}'`;
-  } else {
-    return String(value);
-  }
-}
-
-type VectaraFilter = any;
-
-export class VectaraTranslator<
-  T extends VectorStore
-> extends BaseTranslator<T> {
-  declare VisitOperationOutput: VectaraOperationResult;
-
-  declare VisitComparisonOutput: VectaraComparisonResult;
-
-  allowedOperators: Operator[] = [Operators.and, Operators.or];
-
-  allowedComparators: Comparator[] = [
-    Comparators.eq,
-    Comparators.ne,
-    Comparators.lt,
-    Comparators.lte,
-    Comparators.gt,
-    Comparators.gte,
-  ];
-
-  formatFunction(func: Operator | Comparator): string {
-    if (func in Comparators) {
-      if (
-        this.allowedComparators.length > 0 &&
-        this.allowedComparators.indexOf(func as Comparator) === -1
-      ) {
-        throw new Error(
-          `Comparator ${func} not allowed. Allowed operators: ${this.allowedComparators.join(
-            ", "
-          )}`
-        );
-      }
-    } else if (func in Operators) {
-      if (
-        this.allowedOperators.length > 0 &&
-        this.allowedOperators.indexOf(func as Operator) === -1
-      ) {
-        throw new Error(
-          `Operator ${func} not allowed. Allowed operators: ${this.allowedOperators.join(
-            ", "
-          )}`
-        );
-      }
-    } else {
-      throw new Error("Unknown comparator or operator");
-    }
-
-    const mapDict = {
-      and: " and ",
-      or: " or ",
-      eq: "=",
-      ne: "!=",
-      lt: "<",
-      lte: "<=",
-      gt: ">",
-      gte: ">=",
-    };
-    return mapDict[func as Comparator | AllowedOperator];
-  }
-
-  /**
-   * Visits an operation and returns a VectaraOperationResult. The
-   * operation's arguments are visited and the operator is formatted.
-   * @param operation The operation to visit.
-   * @returns A VectaraOperationResult.
-   */
-  visitOperation(operation: Operation): this["VisitOperationOutput"] {
-    const args = operation.args?.map((arg) =>
-      arg.accept(this as Visitor)
-    ) as VectaraVisitorResult[];
-    const operator = this.formatFunction(operation.operator);
-    return `( ${args.join(operator)} )`;
-  }
-
-  /**
-   * Visits a comparison and returns a VectaraComparisonResult. The
-   * comparison's value is checked for type and the comparator is formatted.
-   * Throws an error if the value type is not supported.
-   * @param comparison The comparison to visit.
-   * @returns A VectaraComparisonResult.
-   */
-  visitComparison(comparison: Comparison): this["VisitComparisonOutput"] {
-    const comparator = this.formatFunction(comparison.comparator);
-    return `( doc.${comparison.attribute} ${comparator} ${processValue(
-      comparison.value
-    )} )`;
-  }
-
-  /**
-   * Visits a structured query and returns a VectaraStructuredQueryResult.
-   * If the query has a filter, it is visited.
-   * @param query The structured query to visit.
-   * @returns A VectaraStructuredQueryResult.
-   */
-  visitStructuredQuery(
-    query: StructuredQuery
-  ): this["VisitStructuredQueryOutput"] {
-    let nextArg = {};
-    if (query.filter) {
-      nextArg = {
-        filter: { filter: query.filter.accept(this as Visitor) },
-      };
-    }
-    return nextArg;
-  }
-
-  mergeFilters(
-    defaultFilter: VectaraFilter | undefined,
-    generatedFilter: VectaraFilter | undefined,
-    mergeType = "and",
-    forceDefaultFilter = false
-  ): VectaraFilter | undefined {
-    if (isFilterEmpty(defaultFilter) && isFilterEmpty(generatedFilter)) {
-      return undefined;
-    }
-    if (isFilterEmpty(defaultFilter) || mergeType === "replace") {
-      if (isFilterEmpty(generatedFilter)) {
-        return undefined;
-      }
-      return generatedFilter;
-    }
-    if (isFilterEmpty(generatedFilter)) {
-      if (forceDefaultFilter) {
-        return defaultFilter;
-      }
-      if (mergeType === "and") {
-        return undefined;
-      }
-      return defaultFilter;
-    }
-
-    if (mergeType === "and") {
-      return {
-        filter: `${defaultFilter} and ${generatedFilter}`,
-      } as VectaraFilter;
-    } else if (mergeType === "or") {
-      return {
-        filter: `${defaultFilter} or ${generatedFilter}`,
-      };
-    } else {
-      throw new Error("Unknown merge type");
-    }
-  }
-}
diff --git a/langchain/src/retrievers/self_query/weaviate.ts b/langchain/src/retrievers/self_query/weaviate.ts
deleted file mode 100644
index 6bd285081f33..000000000000
--- a/langchain/src/retrievers/self_query/weaviate.ts
+++ /dev/null
@@ -1,273 +0,0 @@
-/* eslint-disable @typescript-eslint/no-explicit-any */
-
-import {
-  isFilterEmpty,
-  isString,
-  isInt,
-  isFloat,
-  BaseTranslator,
-  Comparator,
-  Comparators,
-  Comparison,
-  NOT,
-  Operation,
-  Operator,
-  Operators,
-  StructuredQuery,
-  Visitor,
-} from "@langchain/core/structured_query";
-import { VectorStore } from "@langchain/core/vectorstores";
-import { logVersion020MigrationWarning } from "../../util/entrypoint_deprecation.js";
-
-/* #__PURE__ */ logVersion020MigrationWarning({
-  oldEntrypointName: "retrievers/self_query/weaviate",
-  newEntrypointName: "",
-  newPackageName: "@langchain/weaviate",
-});
-
-type AllowedOperator = Exclude<Operator, NOT>;
-
-type WeaviateOperatorValues = {
-  valueText: string;
-  valueInt: number;
-  valueNumber: number;
-  valueBoolean: boolean;
-};
-
-type WeaviateFilter = any;
-
-type WeaviateOperatorKeys = keyof WeaviateOperatorValues;
-
-type ExclusiveOperatorValue = {
-  [L in WeaviateOperatorKeys]: {
-    [key in L]: WeaviateOperatorValues[key];
-  } & Omit<{ [key in WeaviateOperatorKeys]?: never }, L>;
-}[WeaviateOperatorKeys];
-
-export type WeaviateVisitorResult =
-  | WeaviateOperationResult
-  | WeaviateComparisonResult
-  | WeaviateStructuredQueryResult;
-
-export type WeaviateOperationResult = {
-  operator: string;
-  operands: WeaviateVisitorResult[];
-};
-export type WeaviateComparisonResult = {
-  path: [string];
-  operator: string;
-} & ExclusiveOperatorValue;
-
-export type WeaviateStructuredQueryResult = {
-  filter?: {
-    where?: WeaviateComparisonResult | WeaviateOperationResult;
-  };
-};
-
-/**
- * A class that translates or converts data into a format that can be used
- * with Weaviate, a vector search engine. It extends the `BaseTranslator`
- * class and provides specific implementation for Weaviate.
- * @example
- * ```typescript
- * const selfQueryRetriever = new SelfQueryRetriever({
- *   llm: new ChatOpenAI(),
- *   vectorStore: new WeaviateStore(),
- *   documentContents: "Brief summary of a movie",
- *   attributeInfo: [],
- *   structuredQueryTranslator: new WeaviateTranslator(),
- * });
- *
- * const relevantDocuments = await selfQueryRetriever.getRelevantDocuments(
- *   "Which movies are rated higher than 8.5?",
- * );
- * ```
- */
-export class WeaviateTranslator<
-  T extends VectorStore
-> extends BaseTranslator<T> {
-  declare VisitOperationOutput: WeaviateOperationResult;
-
-  declare VisitComparisonOutput: WeaviateComparisonResult;
-
-  allowedOperators: Operator[] = [Operators.and, Operators.or];
-
-  allowedComparators: Comparator[] = [
-    Comparators.eq,
-    Comparators.ne,
-    Comparators.lt,
-    Comparators.lte,
-    Comparators.gt,
-    Comparators.gte,
-  ];
-
-  /**
-   * Formats the given function into a string representation. Throws an
-   * error if the function is not a known comparator or operator, or if it
-   * is not allowed.
-   * @param func The function to format, which can be an Operator or Comparator.
-   * @returns A string representation of the function.
-   */
-  formatFunction(func: Operator | Comparator): string {
-    if (func in Comparators) {
-      if (
-        this.allowedComparators.length > 0 &&
-        this.allowedComparators.indexOf(func as Comparator) === -1
-      ) {
-        throw new Error(
-          `Comparator ${func} not allowed. Allowed operators: ${this.allowedComparators.join(
-            ", "
-          )}`
-        );
-      }
-    } else if (func in Operators) {
-      if (
-        this.allowedOperators.length > 0 &&
-        this.allowedOperators.indexOf(func as Operator) === -1
-      ) {
-        throw new Error(
-          `Operator ${func} not allowed. Allowed operators: ${this.allowedOperators.join(
-            ", "
-          )}`
-        );
-      }
-    } else {
-      throw new Error("Unknown comparator or operator");
-    }
-    const dict = {
-      and: "And",
-      or: "Or",
-      eq: "Equal",
-      ne: "NotEqual",
-      lt: "LessThan",
-      lte: "LessThanEqual",
-      gt: "GreaterThan",
-      gte: "GreaterThanEqual",
-    };
-    return dict[func as Comparator | AllowedOperator];
-  }
-
-  /**
-   * Visits an operation and returns a WeaviateOperationResult. The
-   * operation's arguments are visited and the operator is formatted.
-   * @param operation The operation to visit.
-   * @returns A WeaviateOperationResult.
-   */
-  visitOperation(operation: Operation): this["VisitOperationOutput"] {
-    const args = operation.args?.map((arg) =>
-      arg.accept(this as Visitor)
-    ) as WeaviateVisitorResult[];
-    return {
-      operator: this.formatFunction(operation.operator),
-      operands: args,
-    };
-  }
-
-  /**
-   * Visits a comparison and returns a WeaviateComparisonResult. The
-   * comparison's value is checked for type and the comparator is formatted.
-   * Throws an error if the value type is not supported.
-   * @param comparison The comparison to visit.
-   * @returns A WeaviateComparisonResult.
-   */
-  visitComparison(comparison: Comparison): this["VisitComparisonOutput"] {
-    if (isString(comparison.value)) {
-      return {
-        path: [comparison.attribute],
-        operator: this.formatFunction(comparison.comparator),
-        valueText: comparison.value as string,
-      };
-    }
-    if (isInt(comparison.value)) {
-      return {
-        path: [comparison.attribute],
-        operator: this.formatFunction(comparison.comparator),
-        valueInt: parseInt(comparison.value as string, 10),
-      };
-    }
-    if (isFloat(comparison.value)) {
-      return {
-        path: [comparison.attribute],
-        operator: this.formatFunction(comparison.comparator),
-        valueNumber: parseFloat(comparison.value as string),
-      };
-    }
-
-    throw new Error("Value type is not supported");
-  }
-
-  /**
-   * Visits a structured query and returns a WeaviateStructuredQueryResult.
-   * If the query has a filter, it is visited.
-   * @param query The structured query to visit.
-   * @returns A WeaviateStructuredQueryResult.
-   */
-  visitStructuredQuery(
-    query: StructuredQuery
-  ): this["VisitStructuredQueryOutput"] {
-    let nextArg = {};
-    if (query.filter) {
-      nextArg = {
-        filter: { where: query.filter.accept(this as Visitor) },
-      };
-    }
-    return nextArg;
-  }
-
-  /**
-   * Merges two filters into one. If both filters are empty, returns
-   * undefined. If one filter is empty or the merge type is 'replace',
-   * returns the other filter. If the merge type is 'and' or 'or', returns a
-   * new filter with the merged results. Throws an error for unknown merge
-   * types.
-   * @param defaultFilter The default filter to merge.
-   * @param generatedFilter The generated filter to merge.
-   * @param mergeType The type of merge to perform. Can be 'and', 'or', or 'replace'. Defaults to 'and'.
-   * @returns A merged WeaviateFilter, or undefined if both filters are empty.
-   */
-  mergeFilters(
-    defaultFilter: WeaviateFilter | undefined,
-    generatedFilter: WeaviateFilter | undefined,
-    mergeType = "and"
-  ): WeaviateFilter | undefined {
-    if (
-      isFilterEmpty(defaultFilter?.where) &&
-      isFilterEmpty(generatedFilter?.where)
-    ) {
-      return undefined;
-    }
-    if (isFilterEmpty(defaultFilter?.where) || mergeType === "replace") {
-      if (isFilterEmpty(generatedFilter?.where)) {
-        return undefined;
-      }
-      return generatedFilter;
-    }
-    if (isFilterEmpty(generatedFilter?.where)) {
-      if (mergeType === "and") {
-        return undefined;
-      }
-      return defaultFilter;
-    }
-    const merged: WeaviateOperationResult = {
-      operator: "And",
-      operands: [
-        // eslint-disable-next-line @typescript-eslint/no-non-null-assertion
-        defaultFilter!.where as WeaviateVisitorResult,
-        // eslint-disable-next-line @typescript-eslint/no-non-null-assertion
-        generatedFilter!.where as WeaviateVisitorResult,
-      ],
-    };
-    if (mergeType === "and") {
-      return {
-        where: merged,
-      } as WeaviateFilter;
-    } else if (mergeType === "or") {
-      merged.operator = "Or";
-      return {
-        where: merged,
-      } as WeaviateFilter;
-    } else {
-      throw new Error("Unknown merge type");
-    }
-  }
-}
diff --git a/langchain/src/smith/config.ts b/langchain/src/smith/config.ts
index 34f4a5b216b5..4cc55d72ec89 100644
--- a/langchain/src/smith/config.ts
+++ b/langchain/src/smith/config.ts
@@ -53,11 +53,11 @@ export type DynamicRunEvaluatorParams<
 export type RunEvaluatorLike =
   | ((
       props: DynamicRunEvaluatorParams,
-      options?: { config?: RunnableConfig }
+      options: RunnableConfig
     ) => Promise<EvaluationResult>)
   | ((
       props: DynamicRunEvaluatorParams,
-      options?: { config?: RunnableConfig }
+      options: RunnableConfig
     ) => EvaluationResult);
 
 export function isOffTheShelfEvaluator<
diff --git a/langchain/src/smith/tests/runner_utils.int.test.ts b/langchain/src/smith/tests/runner_utils.int.test.ts
index bd8c3232efaf..1c71e8bb33b5 100644
--- a/langchain/src/smith/tests/runner_utils.int.test.ts
+++ b/langchain/src/smith/tests/runner_utils.int.test.ts
@@ -69,10 +69,10 @@ const getScore = ({ outputs }: { outputs?: KVMap }) =>
 
 const outputNotEmpty = async (
   { run }: { run: Run; example?: Example },
-  options?: { config?: RunnableConfig }
+  options?: RunnableConfig
 ) => {
   const lambda = new RunnableLambda({ func: getScore });
-  const score = await lambda.invoke(run, options?.config);
+  const score = await lambda.invoke(run, options);
   return {
     key: "output_not_empty",
     score,
diff --git a/langchain/src/types/assemblyai-types.ts b/langchain/src/types/assemblyai-types.ts
deleted file mode 100644
index 583248940a1d..000000000000
--- a/langchain/src/types/assemblyai-types.ts
+++ /dev/null
@@ -1,6 +0,0 @@
-import { BaseServiceParams } from "assemblyai";
-import { Optional } from "./type-utils.js";
-
-export type * from "assemblyai";
-
-export type AssemblyAIOptions = Optional<BaseServiceParams, "apiKey">;
diff --git a/libs/create-langchain-integration/template/README.md b/libs/create-langchain-integration/template/README.md
index 07f3b2b74600..21fc14446bdd 100644
--- a/libs/create-langchain-integration/template/README.md
+++ b/libs/create-langchain-integration/template/README.md
@@ -5,11 +5,11 @@ This package contains the LangChain.js integrations for <ADD_NAME_HERE> through
 ## Installation
 
 ```bash npm2yarn
-npm install @langchain/<ADD_PACKAGE_NAME_HERE>
+npm install @langchain/<ADD_PACKAGE_NAME_HERE> @langchain/core
 ```
 
 This package, along with the main LangChain package, depends on [`@langchain/core`](https://npmjs.com/package/@langchain/core/).
-If you are using this package with other LangChain packages, you should make sure that all of the packages depend on the same instance of @langchain/core.
+If you are using this package with other LangChain packages, you should make sure that all of the packages depend on the same instance of `@langchain/core`.
 You can do so by adding appropriate field to your project's `package.json` like this:
 
 ```json
@@ -18,17 +18,17 @@ You can do so by adding appropriate field to your project's `package.json` like
   "version": "0.0.0",
   "dependencies": {
     "@langchain/<ADD_PACKAGE_NAME_HERE>": "^0.0.0",
-    "langchain": "0.0.207"
+    "@langchain/core": "^0.3.0"
   },
   "resolutions": {
-    "@langchain/core": "0.1.5"
+    "@langchain/core": "^0.3.0"
   },
   "overrides": {
-    "@langchain/core": "0.1.5"
+    "@langchain/core": "^0.3.0"
   },
   "pnpm": {
     "overrides": {
-      "@langchain/core": "0.1.5"
+      "@langchain/core": "^0.3.0"
     }
   }
 }
diff --git a/libs/create-langchain-integration/template/package.json b/libs/create-langchain-integration/template/package.json
index 2f2cc09dda3e..59ea14c9fe69 100644
--- a/libs/create-langchain-integration/template/package.json
+++ b/libs/create-langchain-integration/template/package.json
@@ -32,7 +32,7 @@
   "author": "LangChain",
   "license": "MIT",
   "dependencies": {
-    "@langchain/core": ">0.1.0 <0.3.0"
+    "@langchain/core": ">=0.3.0 <0.4.0"
   },
   "devDependencies": {
     "@jest/globals": "^29.5.0",
diff --git a/libs/langchain-anthropic/README.md b/libs/langchain-anthropic/README.md
index db6ea90488ff..4abec6837993 100644
--- a/libs/langchain-anthropic/README.md
+++ b/libs/langchain-anthropic/README.md
@@ -5,7 +5,7 @@ This package contains the LangChain.js integrations for Anthropic through their
 ## Installation
 
 ```bash npm2yarn
-npm install @langchain/anthropic
+npm install @langchain/anthropic @langchain/core
 ```
 
 This package, along with the main LangChain package, depends on [`@langchain/core`](https://npmjs.com/package/@langchain/core/).
@@ -18,17 +18,17 @@ You can do so by adding appropriate fields to your project's `package.json` like
   "version": "0.0.0",
   "dependencies": {
     "@langchain/anthropic": "^0.0.9",
-    "langchain": "0.0.207"
+    "@langchain/core": "^0.3.0"
   },
   "resolutions": {
-    "@langchain/core": "0.1.5"
+    "@langchain/core": "^0.3.0"
   },
   "overrides": {
-    "@langchain/core": "0.1.5"
+    "@langchain/core": "^0.3.0"
   },
   "pnpm": {
     "overrides": {
-      "@langchain/core": "0.1.5"
+      "@langchain/core": "^0.3.0"
     }
   }
 }
diff --git a/libs/langchain-anthropic/package.json b/libs/langchain-anthropic/package.json
index d2c27b0aeb4d..a915a4346f94 100644
--- a/libs/langchain-anthropic/package.json
+++ b/libs/langchain-anthropic/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/anthropic",
-  "version": "0.2.18",
+  "version": "0.3.0-rc.0",
   "description": "Anthropic integrations for LangChain.js",
   "type": "module",
   "engines": {
@@ -36,14 +36,17 @@
   "license": "MIT",
   "dependencies": {
     "@anthropic-ai/sdk": "^0.25.2",
-    "@langchain/core": ">=0.2.21 <0.3.0",
     "fast-xml-parser": "^4.4.1",
     "zod": "^3.22.4",
     "zod-to-json-schema": "^3.22.4"
   },
+  "peerDependencies": {
+    "@langchain/core": ">=0.2.21 <0.4.0 || 0.3.0-rc.0"
+  },
   "devDependencies": {
     "@anthropic-ai/vertex-sdk": "^0.4.1",
     "@jest/globals": "^29.5.0",
+    "@langchain/core": "workspace:*",
     "@langchain/scripts": ">=0.1.0 <0.2.0",
     "@langchain/standard-tests": "0.0.0",
     "@swc/core": "^1.3.90",
diff --git a/libs/langchain-aws/README.md b/libs/langchain-aws/README.md
index 7e0950c34bcc..58e42a232dbe 100644
--- a/libs/langchain-aws/README.md
+++ b/libs/langchain-aws/README.md
@@ -18,17 +18,17 @@ You can do so by adding appropriate fields to your project's `package.json` like
   "version": "0.0.0",
   "dependencies": {
     "@langchain/aws": "^0.0.1",
-    "langchain": "0.0.207"
+    "@langchain/core": "^0.3.0"
   },
   "resolutions": {
-    "@langchain/core": "0.1.5"
+    "@langchain/core": "^0.3.0"
   },
   "overrides": {
-    "@langchain/core": "0.1.5"
+    "@langchain/core": "^0.3.0"
   },
   "pnpm": {
     "overrides": {
-      "@langchain/core": "0.1.5"
+      "@langchain/core": "^0.3.0"
     }
   }
 }
diff --git a/libs/langchain-aws/package.json b/libs/langchain-aws/package.json
index 40fe56eff4d7..6d550a9f49d8 100644
--- a/libs/langchain-aws/package.json
+++ b/libs/langchain-aws/package.json
@@ -36,13 +36,16 @@
     "@aws-sdk/client-bedrock-runtime": "^3.602.0",
     "@aws-sdk/client-kendra": "^3.352.0",
     "@aws-sdk/credential-provider-node": "^3.600.0",
-    "@langchain/core": ">=0.2.21 <0.3.0",
     "zod": "^3.23.8",
     "zod-to-json-schema": "^3.22.5"
   },
+  "peerDependencies": {
+    "@langchain/core": ">=0.2.21 <0.4.0"
+  },
   "devDependencies": {
     "@aws-sdk/types": "^3.609.0",
     "@jest/globals": "^29.5.0",
+    "@langchain/core": "workspace:*",
     "@langchain/scripts": ">=0.1.0 <0.2.0",
     "@langchain/standard-tests": "0.0.0",
     "@smithy/types": "^3.2.0",
diff --git a/libs/langchain-azure-cosmosdb/README.md b/libs/langchain-azure-cosmosdb/README.md
index e8f183156b58..1e21ecfdf8b8 100644
--- a/libs/langchain-azure-cosmosdb/README.md
+++ b/libs/langchain-azure-cosmosdb/README.md
@@ -9,7 +9,7 @@ Learn more about how to use this package in the LangChain documentation:
 ## Installation
 
 ```bash npm2yarn
-npm install @langchain/azure-cosmosdb
+npm install @langchain/azure-cosmosdb @langchain/core
 ```
 
 This package, along with the main LangChain package, depends on [`@langchain/core`](https://npmjs.com/package/@langchain/core/).
@@ -21,18 +21,18 @@ You can do so by adding appropriate fields to your project's `package.json` like
   "name": "your-project",
   "version": "0.0.0",
   "dependencies": {
-    "@langchain/openai": "^0.2.5",
-    "langchain": "0.2.12"
+    "@langchain/core": "^0.3.0",
+    "@langchain/azure-cosmosdb": "^0.2.5"
   },
   "resolutions": {
-    "@langchain/core": "0.2.20"
+    "@langchain/core": "0.3.0"
   },
   "overrides": {
-    "@langchain/core": "0.2.20"
+    "@langchain/core": "0.3.0"
   },
   "pnpm": {
     "overrides": {
-      "@langchain/core": "0.2.20"
+      "@langchain/core": "0.3.0"
     }
   }
 }
diff --git a/libs/langchain-azure-cosmosdb/package.json b/libs/langchain-azure-cosmosdb/package.json
index 161ac0b3c8b4..01b940714bc4 100644
--- a/libs/langchain-azure-cosmosdb/package.json
+++ b/libs/langchain-azure-cosmosdb/package.json
@@ -34,11 +34,14 @@
   "dependencies": {
     "@azure/cosmos": "4.0.1-beta.3",
     "@azure/identity": "^4.2.0",
-    "@langchain/core": "~0.2",
     "mongodb": "^6.8.0"
   },
+  "peerDependencies": {
+    "@langchain/core": ">=0.2.21 <0.4.0"
+  },
   "devDependencies": {
     "@jest/globals": "^29.5.0",
+    "@langchain/core": "workspace:*",
     "@langchain/openai": "workspace:^",
     "@langchain/scripts": ">=0.1.0 <0.2.0",
     "@swc/core": "^1.3.90",
diff --git a/libs/langchain-azure-dynamic-sessions/README.md b/libs/langchain-azure-dynamic-sessions/README.md
index 2c0c4930f9da..de8c15bbba0b 100644
--- a/libs/langchain-azure-dynamic-sessions/README.md
+++ b/libs/langchain-azure-dynamic-sessions/README.md
@@ -7,7 +7,7 @@ Learn more about how to use this tool in the [LangChain documentation](https://j
 ## Installation
 
 ```bash npm2yarn
-npm install @langchain/azure-dynamic-sessions
+npm install @langchain/azure-dynamic-sessions @langchain/core
 ```
 
 This package, along with the main LangChain package, depends on [`@langchain/core`](https://npmjs.com/package/@langchain/core/).
@@ -20,17 +20,17 @@ You can do so by adding appropriate fields to your project's `package.json` like
   "version": "0.0.0",
   "dependencies": {
     "@langchain/azure-openai": "^0.0.4",
-    "langchain": "0.0.207"
+    "@langchain/core": "^0.3.0"
   },
   "resolutions": {
-    "@langchain/core": "0.1.5"
+    "@langchain/core": "^0.3.0"
   },
   "overrides": {
-    "@langchain/core": "0.1.5"
+    "@langchain/core": "^0.3.0"
   },
   "pnpm": {
     "overrides": {
-      "@langchain/core": "0.1.5"
+      "@langchain/core": "^0.3.0"
     }
   }
 }
diff --git a/libs/langchain-azure-dynamic-sessions/package.json b/libs/langchain-azure-dynamic-sessions/package.json
index ea1101079811..a328f3c31650 100644
--- a/libs/langchain-azure-dynamic-sessions/package.json
+++ b/libs/langchain-azure-dynamic-sessions/package.json
@@ -33,11 +33,14 @@
   "license": "MIT",
   "dependencies": {
     "@azure/identity": "^4.2.1",
-    "@langchain/core": "~0.2",
     "uuid": "^10.0.0"
   },
+  "peerDependencies": {
+    "@langchain/core": ">=0.2.21 <0.4.0"
+  },
   "devDependencies": {
     "@jest/globals": "^29.5.0",
+    "@langchain/core": "workspace:*",
     "@langchain/scripts": ">=0.1.0 <0.2.0",
     "@swc/core": "^1.3.90",
     "@swc/jest": "^0.2.29",
diff --git a/libs/langchain-azure-openai/README.md b/libs/langchain-azure-openai/README.md
index 2f84945db2ea..d61cd9f17be3 100644
--- a/libs/langchain-azure-openai/README.md
+++ b/libs/langchain-azure-openai/README.md
@@ -1,6 +1,6 @@
 > [!IMPORTANT]
 > This package is now deprecated in favor of the new Azure integration in the OpenAI SDK. Please use the package [`@langchain/openai`](https://www.npmjs.com/package/@langchain/openai) instead.
-> You can find the migration guide [here](https://js.langchain.com/v0.2/docs/integrations/llms/azure#migration-from-azure-openai-sdk).
+> You can find the migration guide [here](https://js.langchain.com/docs/integrations/llms/azure#migration-from-azure-openai-sdk).
 
 # @langchain/azure-openai
 
@@ -11,7 +11,7 @@ It provides Azure OpenAI support through the [Azure SDK for OpenAI](https://gith
 ## Installation
 
 ```bash npm2yarn
-npm install @langchain/azure-openai
+npm install @langchain/azure-openai @langchain/core
 ```
 
 This package, along with the main LangChain package, depends on [`@langchain/core`](https://npmjs.com/package/@langchain/core/).
@@ -24,17 +24,17 @@ You can do so by adding appropriate fields to your project's `package.json` like
   "version": "0.0.0",
   "dependencies": {
     "@langchain/azure-openai": "^0.0.4",
-    "langchain": "0.0.207"
+    "@langchain/core": "^0.3.0"
   },
   "resolutions": {
-    "@langchain/core": "0.1.5"
+    "@langchain/core": "^0.3.0"
   },
   "overrides": {
-    "@langchain/core": "0.1.5"
+    "@langchain/core": "^0.3.0"
   },
   "pnpm": {
     "overrides": {
-      "@langchain/core": "0.1.5"
+      "@langchain/core": "^0.3.0"
     }
   }
 }
diff --git a/libs/langchain-azure-openai/package.json b/libs/langchain-azure-openai/package.json
index c5351845caeb..5811f09c9c91 100644
--- a/libs/langchain-azure-openai/package.json
+++ b/libs/langchain-azure-openai/package.json
@@ -33,14 +33,17 @@
   "dependencies": {
     "@azure/core-auth": "^1.5.0",
     "@azure/openai": "1.0.0-beta.11",
-    "@langchain/core": ">0.1.0 <0.3.0",
     "js-tiktoken": "^1.0.12",
     "zod": "^3.22.3",
     "zod-to-json-schema": "3.20.3"
   },
+  "peerDependencies": {
+    "@langchain/core": ">=0.2.21 <0.4.0"
+  },
   "devDependencies": {
     "@azure/identity": "^4.2.1",
     "@jest/globals": "^29.5.0",
+    "@langchain/core": "workspace:*",
     "@langchain/scripts": ">=0.1.0 <0.2.0",
     "@langchain/standard-tests": "0.0.0",
     "@swc/core": "^1.3.90",
diff --git a/libs/langchain-baidu-qianfan/README.md b/libs/langchain-baidu-qianfan/README.md
index 985d714c92e1..2e20711f26b7 100644
--- a/libs/langchain-baidu-qianfan/README.md
+++ b/libs/langchain-baidu-qianfan/README.md
@@ -6,7 +6,7 @@ This package contains the LangChain.js integrations for Baidu Qianfan via the qi
 ## Installation
 
 ```bash npm2yarn
-npm install @langchain/baidu-qianfan
+npm install @langchain/baidu-qianfan @langchain/core
 ```
 
 ## Chat models
diff --git a/libs/langchain-baidu-qianfan/package.json b/libs/langchain-baidu-qianfan/package.json
index 1de6beb41ab3..651def22f09d 100644
--- a/libs/langchain-baidu-qianfan/package.json
+++ b/libs/langchain-baidu-qianfan/package.json
@@ -32,13 +32,16 @@
   "license": "MIT",
   "dependencies": {
     "@baiducloud/qianfan": "^0.1.6",
-    "@langchain/core": ">0.1.56 <0.3.0",
     "@langchain/openai": "~0.1.0",
     "zod": "^3.22.4",
     "zod-to-json-schema": "^3.22.5"
   },
+  "peerDependencies": {
+    "@langchain/core": ">=0.2.21 <0.4.0"
+  },
   "devDependencies": {
     "@jest/globals": "^29.5.0",
+    "@langchain/core": "workspace:*",
     "@langchain/openai": "~0.1.0",
     "@langchain/scripts": ">=0.1.0 <0.2.0",
     "@swc/core": "^1.3.90",
diff --git a/libs/langchain-cloudflare/README.md b/libs/langchain-cloudflare/README.md
index cf74a9d82f81..262250d52868 100644
--- a/libs/langchain-cloudflare/README.md
+++ b/libs/langchain-cloudflare/README.md
@@ -5,7 +5,7 @@ This package contains the LangChain.js integrations for Cloudflare through their
 ## Installation
 
 ```bash npm2yarn
-npm install @langchain/cloudflare
+npm install @langchain/cloudflare @langchain/core
 ```
 
 ## Development
diff --git a/libs/langchain-cloudflare/package.json b/libs/langchain-cloudflare/package.json
index e0dd6e229504..62347885519d 100644
--- a/libs/langchain-cloudflare/package.json
+++ b/libs/langchain-cloudflare/package.json
@@ -41,6 +41,7 @@
   "devDependencies": {
     "@cloudflare/workers-types": "^4.20240909.0",
     "@jest/globals": "^29.5.0",
+    "@langchain/core": "workspace:*",
     "@langchain/langgraph": "~0.0.31",
     "@langchain/scripts": ">=0.1.0 <0.2.0",
     "@langchain/standard-tests": "0.0.0",
@@ -67,7 +68,8 @@
     "typescript": "<5.2.0"
   },
   "peerDependencies": {
-    "@langchain/langgraph": "<0.1.0"
+    "@langchain/core": ">=0.2.21 <0.4.0",
+    "@langchain/langgraph": "*"
   },
   "peerDependenciesMeta": {
     "@langchain/langgraph": {
diff --git a/libs/langchain-cohere/README.md b/libs/langchain-cohere/README.md
index 4c7913bb6b24..2fc174427d9b 100644
--- a/libs/langchain-cohere/README.md
+++ b/libs/langchain-cohere/README.md
@@ -5,7 +5,7 @@ This package contains the LangChain.js integrations for Cohere through their SDK
 ## Installation
 
 ```bash npm2yarn
-npm install @langchain/cohere
+npm install @langchain/cohere @langchain/core
 ```
 
 This package, along with the main LangChain package, depends on [`@langchain/core`](https://npmjs.com/package/@langchain/core/).
@@ -18,17 +18,17 @@ You can do so by adding appropriate field to your project's `package.json` like
   "version": "0.0.0",
   "dependencies": {
     "@langchain/cohere": "^0.0.1",
-    "langchain": "0.0.213"
+    "@langchain/core": "^0.3.0",
   },
   "resolutions": {
-    "@langchain/core": "0.1.5"
+    "@langchain/core": "0.3.0"
   },
   "overrides": {
-    "@langchain/core": "0.1.5"
+    "@langchain/core": "0.3.0"
   },
   "pnpm": {
     "overrides": {
-      "@langchain/core": "0.1.5"
+      "@langchain/core": "0.3.0"
     }
   }
 }
diff --git a/libs/langchain-cohere/package.json b/libs/langchain-cohere/package.json
index a140b8cbfc1e..02552f52b0e6 100644
--- a/libs/langchain-cohere/package.json
+++ b/libs/langchain-cohere/package.json
@@ -35,14 +35,17 @@
   "author": "LangChain",
   "license": "MIT",
   "dependencies": {
-    "@langchain/core": ">=0.2.21 <0.3.0",
     "cohere-ai": "^7.10.5",
     "uuid": "^10.0.0",
     "zod": "^3.23.8",
     "zod-to-json-schema": "^3.23.1"
   },
+  "peerDependencies": {
+    "@langchain/core": ">=0.2.21 <0.4.0"
+  },
   "devDependencies": {
     "@jest/globals": "^29.5.0",
+    "@langchain/core": "workspace:*",
     "@langchain/scripts": ">=0.1.0 <0.2.0",
     "@langchain/standard-tests": "0.0.0",
     "@swc/core": "^1.3.90",
diff --git a/libs/langchain-community/.gitignore b/libs/langchain-community/.gitignore
index 1bb10382f52e..f479e8233d4d 100644
--- a/libs/langchain-community/.gitignore
+++ b/libs/langchain-community/.gitignore
@@ -150,14 +150,6 @@ embeddings/fireworks.cjs
 embeddings/fireworks.js
 embeddings/fireworks.d.ts
 embeddings/fireworks.d.cts
-embeddings/googlepalm.cjs
-embeddings/googlepalm.js
-embeddings/googlepalm.d.ts
-embeddings/googlepalm.d.cts
-embeddings/googlevertexai.cjs
-embeddings/googlevertexai.js
-embeddings/googlevertexai.d.ts
-embeddings/googlevertexai.d.cts
 embeddings/gradient_ai.cjs
 embeddings/gradient_ai.js
 embeddings/gradient_ai.d.ts
@@ -254,18 +246,6 @@ llms/friendli.cjs
 llms/friendli.js
 llms/friendli.d.ts
 llms/friendli.d.cts
-llms/googlepalm.cjs
-llms/googlepalm.js
-llms/googlepalm.d.ts
-llms/googlepalm.d.cts
-llms/googlevertexai.cjs
-llms/googlevertexai.js
-llms/googlevertexai.d.ts
-llms/googlevertexai.d.cts
-llms/googlevertexai/web.cjs
-llms/googlevertexai/web.js
-llms/googlevertexai/web.d.ts
-llms/googlevertexai/web.d.cts
 llms/gradient_ai.cjs
 llms/gradient_ai.js
 llms/gradient_ai.d.ts
@@ -538,18 +518,6 @@ chat_models/friendli.cjs
 chat_models/friendli.js
 chat_models/friendli.d.ts
 chat_models/friendli.d.cts
-chat_models/googlevertexai.cjs
-chat_models/googlevertexai.js
-chat_models/googlevertexai.d.ts
-chat_models/googlevertexai.d.cts
-chat_models/googlevertexai/web.cjs
-chat_models/googlevertexai/web.js
-chat_models/googlevertexai/web.d.ts
-chat_models/googlevertexai/web.d.cts
-chat_models/googlepalm.cjs
-chat_models/googlepalm.js
-chat_models/googlepalm.d.ts
-chat_models/googlepalm.d.cts
 chat_models/iflytek_xinghuo.cjs
 chat_models/iflytek_xinghuo.js
 chat_models/iflytek_xinghuo.d.ts
@@ -1050,6 +1018,10 @@ experimental/llms/chrome_ai.cjs
 experimental/llms/chrome_ai.js
 experimental/llms/chrome_ai.d.ts
 experimental/llms/chrome_ai.d.cts
+experimental/tools/pyinterpreter.cjs
+experimental/tools/pyinterpreter.js
+experimental/tools/pyinterpreter.d.ts
+experimental/tools/pyinterpreter.d.cts
 chains/graph_qa/cypher.cjs
 chains/graph_qa/cypher.js
 chains/graph_qa/cypher.d.ts
diff --git a/libs/langchain-community/README.md b/libs/langchain-community/README.md
index dec8cc9ce7c2..844389a95d5c 100644
--- a/libs/langchain-community/README.md
+++ b/libs/langchain-community/README.md
@@ -17,18 +17,18 @@ You can do so by adding appropriate field to your project's `package.json` like
   "name": "your-project",
   "version": "0.0.0",
   "dependencies": {
-    "@langchain/<ADD_PACKAGE_NAME_HERE>": "^0.0.0",
-    "langchain": "0.0.207"
+    "@langchain/community": "^0.0.0",
+    "@langchain/core": "^0.3.0"
   },
   "resolutions": {
-    "@langchain/core": "0.1.5"
+    "@langchain/core": "^0.3.0"
   },
   "overrides": {
-    "@langchain/core": "0.1.5"
+    "@langchain/core": "^0.3.0"
   },
   "pnpm": {
     "overrides": {
-      "@langchain/core": "0.1.5"
+      "@langchain/core": "^0.3.0"
     }
   }
 }
diff --git a/libs/langchain-community/langchain.config.js b/libs/langchain-community/langchain.config.js
index c4a964f747c4..9e70e27a8f1c 100644
--- a/libs/langchain-community/langchain.config.js
+++ b/libs/langchain-community/langchain.config.js
@@ -72,8 +72,6 @@ export const config = {
     "embeddings/cohere": "embeddings/cohere",
     "embeddings/deepinfra": "embeddings/deepinfra",
     "embeddings/fireworks": "embeddings/fireworks",
-    "embeddings/googlepalm": "embeddings/googlepalm",
-    "embeddings/googlevertexai": "embeddings/googlevertexai",
     "embeddings/gradient_ai": "embeddings/gradient_ai",
     "embeddings/hf": "embeddings/hf",
     "embeddings/hf_transformers": "embeddings/hf_transformers",
@@ -99,9 +97,6 @@ export const config = {
     "llms/deepinfra": "llms/deepinfra",
     "llms/fireworks": "llms/fireworks",
     "llms/friendli": "llms/friendli",
-    "llms/googlepalm": "llms/googlepalm",
-    "llms/googlevertexai": "llms/googlevertexai/index",
-    "llms/googlevertexai/web": "llms/googlevertexai/web",
     "llms/gradient_ai": "llms/gradient_ai",
     "llms/hf": "llms/hf",
     "llms/llama_cpp": "llms/llama_cpp",
@@ -172,9 +167,6 @@ export const config = {
     "chat_models/deepinfra": "chat_models/deepinfra",
     "chat_models/fireworks": "chat_models/fireworks",
     "chat_models/friendli": "chat_models/friendli",
-    "chat_models/googlevertexai": "chat_models/googlevertexai/index",
-    "chat_models/googlevertexai/web": "chat_models/googlevertexai/web",
-    "chat_models/googlepalm": "chat_models/googlepalm",
     "chat_models/iflytek_xinghuo": "chat_models/iflytek_xinghuo/index",
     "chat_models/iflytek_xinghuo/web": "chat_models/iflytek_xinghuo/web",
     "chat_models/llama_cpp": "chat_models/llama_cpp",
@@ -322,6 +314,7 @@ export const config = {
       "experimental/hubs/makersuite/googlemakersuitehub",
     "experimental/chat_models/ollama_functions": "experimental/chat_models/ollama_functions",
     "experimental/llms/chrome_ai": "experimental/llms/chrome_ai",
+    "experimental/tools/pyinterpreter": "experimental/tools/pyinterpreter",
     // chains
     "chains/graph_qa/cypher": "chains/graph_qa/cypher",
     // langgraph checkpointers
@@ -341,8 +334,6 @@ export const config = {
     "embeddings/bedrock",
     "embeddings/cloudflare_workersai",
     "embeddings/cohere",
-    "embeddings/googlevertexai",
-    "embeddings/googlepalm",
     "embeddings/tensorflow",
     "embeddings/hf",
     "embeddings/hf_transformers",
@@ -356,9 +347,6 @@ export const config = {
     "llms/load",
     "llms/arcjet",
     "llms/cohere",
-    "llms/googlevertexai",
-    "llms/googlevertexai/web",
-    "llms/googlepalm",
     "llms/gradient_ai",
     "llms/hf",
     "llms/raycast",
@@ -417,9 +405,6 @@ export const config = {
     "chat_models/arcjet",
     "chat_models/bedrock",
     "chat_models/bedrock/web",
-    "chat_models/googlevertexai",
-    "chat_models/googlevertexai/web",
-    "chat_models/googlepalm",
     "chat_models/llama_cpp",
     "chat_models/portkey",
     "chat_models/premai",
@@ -524,6 +509,7 @@ export const config = {
     // experimental
     "experimental/multimodal_embeddings/googlevertexai",
     "experimental/hubs/makersuite/googlemakersuitehub",
+    "experimental/tools/pyinterpreter",
     // chains
     "chains/graph_qa/cypher",
     // langgraph checkpointers
diff --git a/libs/langchain-community/package.json b/libs/langchain-community/package.json
index c4c08c23fc1c..837991e87e7d 100644
--- a/libs/langchain-community/package.json
+++ b/libs/langchain-community/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/community",
-  "version": "0.2.33",
+  "version": "0.3.0-rc.0",
   "description": "Third-party integrations for LangChain.js",
   "type": "module",
   "engines": {
@@ -35,13 +35,12 @@
   "author": "LangChain",
   "license": "MIT",
   "dependencies": {
-    "@langchain/core": ">=0.2.21 <0.3.0",
-    "@langchain/openai": ">=0.2.0 <0.3.0",
+    "@langchain/openai": ">=0.2.0 <0.3.0 || 0.3.0-rc.0",
     "binary-extensions": "^2.2.0",
     "expr-eval": "^2.0.2",
     "flat": "^5.0.2",
     "js-yaml": "^4.1.0",
-    "langchain": "~0.2.3",
+    "langchain": "~0.2.3 || 0.3.0-rc.0",
     "langsmith": "~0.1.30",
     "uuid": "^10.0.0",
     "zod": "^3.22.3",
@@ -79,6 +78,7 @@
     "@gradientai/nodejs-sdk": "^1.2.0",
     "@huggingface/inference": "^2.6.4",
     "@jest/globals": "^29.5.0",
+    "@langchain/core": "workspace:*",
     "@langchain/langgraph": "~0.0.26",
     "@langchain/scripts": ">=0.1.0 <0.2.0",
     "@langchain/standard-tests": "0.0.0",
@@ -110,6 +110,7 @@
     "@tsconfig/recommended": "^1.0.2",
     "@types/better-sqlite3": "^7.6.10",
     "@types/crypto-js": "^4.2.2",
+    "@types/d3-dsv": "^3.0.7",
     "@types/flat": "^5.0.2",
     "@types/html-to-text": "^9",
     "@types/jsdom": "^21.1.1",
@@ -195,6 +196,7 @@
     "portkey-ai": "^0.1.11",
     "prettier": "^2.8.3",
     "puppeteer": "^22.0.0",
+    "pyodide": "^0.26.2",
     "redis": "^4.6.6",
     "release-it": "^17.6.0",
     "replicate": "^0.29.4",
@@ -241,6 +243,7 @@
     "@google-cloud/storage": "^6.10.1 || ^7.7.0",
     "@gradientai/nodejs-sdk": "^1.2.0",
     "@huggingface/inference": "^2.6.4",
+    "@langchain/core": ">=0.2.21 <0.4.0 || 0.3.0-rc.0",
     "@langchain/langgraph": "*",
     "@layerup/layerup-security": "^1.5.12",
     "@mendable/firecrawl-js": "^0.0.13",
@@ -321,6 +324,7 @@
     "playwright": "^1.32.1",
     "portkey-ai": "^0.1.11",
     "puppeteer": "*",
+    "pyodide": ">=0.24.1 <0.27.0",
     "redis": "*",
     "replicate": "^0.29.4",
     "sonix-speech-recognition": "^2.1.1",
@@ -658,6 +662,9 @@
     "puppeteer": {
       "optional": true
     },
+    "pyodide": {
+      "optional": true
+    },
     "redis": {
       "optional": true
     },
@@ -1047,24 +1054,6 @@
       "import": "./embeddings/fireworks.js",
       "require": "./embeddings/fireworks.cjs"
     },
-    "./embeddings/googlepalm": {
-      "types": {
-        "import": "./embeddings/googlepalm.d.ts",
-        "require": "./embeddings/googlepalm.d.cts",
-        "default": "./embeddings/googlepalm.d.ts"
-      },
-      "import": "./embeddings/googlepalm.js",
-      "require": "./embeddings/googlepalm.cjs"
-    },
-    "./embeddings/googlevertexai": {
-      "types": {
-        "import": "./embeddings/googlevertexai.d.ts",
-        "require": "./embeddings/googlevertexai.d.cts",
-        "default": "./embeddings/googlevertexai.d.ts"
-      },
-      "import": "./embeddings/googlevertexai.js",
-      "require": "./embeddings/googlevertexai.cjs"
-    },
     "./embeddings/gradient_ai": {
       "types": {
         "import": "./embeddings/gradient_ai.d.ts",
@@ -1281,33 +1270,6 @@
       "import": "./llms/friendli.js",
       "require": "./llms/friendli.cjs"
     },
-    "./llms/googlepalm": {
-      "types": {
-        "import": "./llms/googlepalm.d.ts",
-        "require": "./llms/googlepalm.d.cts",
-        "default": "./llms/googlepalm.d.ts"
-      },
-      "import": "./llms/googlepalm.js",
-      "require": "./llms/googlepalm.cjs"
-    },
-    "./llms/googlevertexai": {
-      "types": {
-        "import": "./llms/googlevertexai.d.ts",
-        "require": "./llms/googlevertexai.d.cts",
-        "default": "./llms/googlevertexai.d.ts"
-      },
-      "import": "./llms/googlevertexai.js",
-      "require": "./llms/googlevertexai.cjs"
-    },
-    "./llms/googlevertexai/web": {
-      "types": {
-        "import": "./llms/googlevertexai/web.d.ts",
-        "require": "./llms/googlevertexai/web.d.cts",
-        "default": "./llms/googlevertexai/web.d.ts"
-      },
-      "import": "./llms/googlevertexai/web.js",
-      "require": "./llms/googlevertexai/web.cjs"
-    },
     "./llms/gradient_ai": {
       "types": {
         "import": "./llms/gradient_ai.d.ts",
@@ -1920,33 +1882,6 @@
       "import": "./chat_models/friendli.js",
       "require": "./chat_models/friendli.cjs"
     },
-    "./chat_models/googlevertexai": {
-      "types": {
-        "import": "./chat_models/googlevertexai.d.ts",
-        "require": "./chat_models/googlevertexai.d.cts",
-        "default": "./chat_models/googlevertexai.d.ts"
-      },
-      "import": "./chat_models/googlevertexai.js",
-      "require": "./chat_models/googlevertexai.cjs"
-    },
-    "./chat_models/googlevertexai/web": {
-      "types": {
-        "import": "./chat_models/googlevertexai/web.d.ts",
-        "require": "./chat_models/googlevertexai/web.d.cts",
-        "default": "./chat_models/googlevertexai/web.d.ts"
-      },
-      "import": "./chat_models/googlevertexai/web.js",
-      "require": "./chat_models/googlevertexai/web.cjs"
-    },
-    "./chat_models/googlepalm": {
-      "types": {
-        "import": "./chat_models/googlepalm.d.ts",
-        "require": "./chat_models/googlepalm.d.cts",
-        "default": "./chat_models/googlepalm.d.ts"
-      },
-      "import": "./chat_models/googlepalm.js",
-      "require": "./chat_models/googlepalm.cjs"
-    },
     "./chat_models/iflytek_xinghuo": {
       "types": {
         "import": "./chat_models/iflytek_xinghuo.d.ts",
@@ -3072,6 +3007,15 @@
       "import": "./experimental/llms/chrome_ai.js",
       "require": "./experimental/llms/chrome_ai.cjs"
     },
+    "./experimental/tools/pyinterpreter": {
+      "types": {
+        "import": "./experimental/tools/pyinterpreter.d.ts",
+        "require": "./experimental/tools/pyinterpreter.d.cts",
+        "default": "./experimental/tools/pyinterpreter.d.ts"
+      },
+      "import": "./experimental/tools/pyinterpreter.js",
+      "require": "./experimental/tools/pyinterpreter.cjs"
+    },
     "./chains/graph_qa/cypher": {
       "types": {
         "import": "./chains/graph_qa/cypher.d.ts",
@@ -3246,14 +3190,6 @@
     "embeddings/fireworks.js",
     "embeddings/fireworks.d.ts",
     "embeddings/fireworks.d.cts",
-    "embeddings/googlepalm.cjs",
-    "embeddings/googlepalm.js",
-    "embeddings/googlepalm.d.ts",
-    "embeddings/googlepalm.d.cts",
-    "embeddings/googlevertexai.cjs",
-    "embeddings/googlevertexai.js",
-    "embeddings/googlevertexai.d.ts",
-    "embeddings/googlevertexai.d.cts",
     "embeddings/gradient_ai.cjs",
     "embeddings/gradient_ai.js",
     "embeddings/gradient_ai.d.ts",
@@ -3350,18 +3286,6 @@
     "llms/friendli.js",
     "llms/friendli.d.ts",
     "llms/friendli.d.cts",
-    "llms/googlepalm.cjs",
-    "llms/googlepalm.js",
-    "llms/googlepalm.d.ts",
-    "llms/googlepalm.d.cts",
-    "llms/googlevertexai.cjs",
-    "llms/googlevertexai.js",
-    "llms/googlevertexai.d.ts",
-    "llms/googlevertexai.d.cts",
-    "llms/googlevertexai/web.cjs",
-    "llms/googlevertexai/web.js",
-    "llms/googlevertexai/web.d.ts",
-    "llms/googlevertexai/web.d.cts",
     "llms/gradient_ai.cjs",
     "llms/gradient_ai.js",
     "llms/gradient_ai.d.ts",
@@ -3634,18 +3558,6 @@
     "chat_models/friendli.js",
     "chat_models/friendli.d.ts",
     "chat_models/friendli.d.cts",
-    "chat_models/googlevertexai.cjs",
-    "chat_models/googlevertexai.js",
-    "chat_models/googlevertexai.d.ts",
-    "chat_models/googlevertexai.d.cts",
-    "chat_models/googlevertexai/web.cjs",
-    "chat_models/googlevertexai/web.js",
-    "chat_models/googlevertexai/web.d.ts",
-    "chat_models/googlevertexai/web.d.cts",
-    "chat_models/googlepalm.cjs",
-    "chat_models/googlepalm.js",
-    "chat_models/googlepalm.d.ts",
-    "chat_models/googlepalm.d.cts",
     "chat_models/iflytek_xinghuo.cjs",
     "chat_models/iflytek_xinghuo.js",
     "chat_models/iflytek_xinghuo.d.ts",
@@ -4146,6 +4058,10 @@
     "experimental/llms/chrome_ai.js",
     "experimental/llms/chrome_ai.d.ts",
     "experimental/llms/chrome_ai.d.cts",
+    "experimental/tools/pyinterpreter.cjs",
+    "experimental/tools/pyinterpreter.js",
+    "experimental/tools/pyinterpreter.d.ts",
+    "experimental/tools/pyinterpreter.d.cts",
     "chains/graph_qa/cypher.cjs",
     "chains/graph_qa/cypher.js",
     "chains/graph_qa/cypher.d.ts",
diff --git a/libs/langchain-community/src/chat_models/googlevertexai/common.ts b/libs/langchain-community/src/chat_models/googlevertexai/common.ts
deleted file mode 100644
index d1208de1c6d9..000000000000
--- a/libs/langchain-community/src/chat_models/googlevertexai/common.ts
+++ /dev/null
@@ -1,403 +0,0 @@
-import type { BaseLanguageModelCallOptions } from "@langchain/core/language_models/base";
-import { BaseChatModel } from "@langchain/core/language_models/chat_models";
-import { CallbackManagerForLLMRun } from "@langchain/core/callbacks/manager";
-import {
-  AIMessage,
-  AIMessageChunk,
-  BaseMessage,
-  ChatMessage,
-} from "@langchain/core/messages";
-import {
-  ChatGeneration,
-  ChatGenerationChunk,
-  ChatResult,
-  LLMResult,
-} from "@langchain/core/outputs";
-
-import {
-  GoogleVertexAILLMConnection,
-  GoogleVertexAIStream,
-} from "../../utils/googlevertexai-connection.js";
-import {
-  GoogleVertexAIBaseLLMInput,
-  GoogleVertexAIBasePrediction,
-  GoogleVertexAILLMPredictions,
-  GoogleVertexAIModelParams,
-} from "../../types/googlevertexai-types.js";
-
-/**
- * Represents a single "example" exchange that can be provided to
- * help illustrate what a model response should look like.
- */
-export interface ChatExample {
-  input: BaseMessage;
-  output: BaseMessage;
-}
-
-/**
- * Represents a single example exchange in the Google Vertex AI chat
- * model.
- */
-interface GoogleVertexAIChatExample {
-  input: GoogleVertexAIChatMessage;
-  output: GoogleVertexAIChatMessage;
-}
-
-/**
- * Represents the author of a chat message in the Google Vertex AI chat
- * model.
- */
-export type GoogleVertexAIChatAuthor =
-  | "user" // Represents the human for Code and CodeChat models
-  | "bot" // Represents the AI for Code models
-  | "system" // Represents the AI for CodeChat models
-  | "context"; // Represents contextual instructions
-
-export type GoogleVertexAIChatMessageFields = {
-  author?: GoogleVertexAIChatAuthor;
-  content: string;
-  name?: string;
-};
-
-/**
- * Represents a chat message in the Google Vertex AI chat model.
- */
-export class GoogleVertexAIChatMessage {
-  public author?: GoogleVertexAIChatAuthor;
-
-  public content: string;
-
-  public name?: string;
-
-  constructor(fields: GoogleVertexAIChatMessageFields) {
-    this.author = fields.author;
-    this.content = fields.content;
-    this.name = fields.name;
-  }
-
-  /**
-   * Extracts the role of a generic message and maps it to a Google Vertex
-   * AI chat author.
-   * @param message The chat message to extract the role from.
-   * @returns The role of the message mapped to a Google Vertex AI chat author.
-   */
-  static extractGenericMessageCustomRole(message: ChatMessage) {
-    if (
-      message.role !== "system" &&
-      message.role !== "bot" &&
-      message.role !== "user" &&
-      message.role !== "context"
-    ) {
-      console.warn(`Unknown message role: ${message.role}`);
-    }
-
-    return message.role as GoogleVertexAIChatAuthor;
-  }
-
-  /**
-   * Maps a message type to a Google Vertex AI chat author.
-   * @param message The message to map.
-   * @param model The model to use for mapping.
-   * @returns The message type mapped to a Google Vertex AI chat author.
-   */
-  static mapMessageTypeToVertexChatAuthor(
-    message: BaseMessage,
-    model: string
-  ): GoogleVertexAIChatAuthor {
-    const type = message._getType();
-    switch (type) {
-      case "ai":
-        return model.startsWith("codechat-") ? "system" : "bot";
-      case "human":
-        return "user";
-      case "system":
-        throw new Error(
-          `System messages are only supported as the first passed message for Google Vertex AI.`
-        );
-      case "generic": {
-        if (!ChatMessage.isInstance(message))
-          throw new Error("Invalid generic chat message");
-        return GoogleVertexAIChatMessage.extractGenericMessageCustomRole(
-          message
-        );
-      }
-      default:
-        throw new Error(`Unknown / unsupported message type: ${message}`);
-    }
-  }
-
-  /**
-   * Creates a new Google Vertex AI chat message from a base message.
-   * @param message The base message to convert.
-   * @param model The model to use for conversion.
-   * @returns A new Google Vertex AI chat message.
-   */
-  static fromChatMessage(message: BaseMessage, model: string) {
-    if (typeof message.content !== "string") {
-      throw new Error(
-        "ChatGoogleVertexAI does not support non-string message content."
-      );
-    }
-    return new GoogleVertexAIChatMessage({
-      author: GoogleVertexAIChatMessage.mapMessageTypeToVertexChatAuthor(
-        message,
-        model
-      ),
-      content: message.content,
-    });
-  }
-}
-
-/**
- * Represents an instance of the Google Vertex AI chat model.
- */
-export interface GoogleVertexAIChatInstance {
-  context?: string;
-  examples?: GoogleVertexAIChatExample[];
-  messages: GoogleVertexAIChatMessage[];
-}
-
-/**
- * Defines the prediction output of the Google Vertex AI chat model.
- */
-export interface GoogleVertexAIChatPrediction
-  extends GoogleVertexAIBasePrediction {
-  candidates: GoogleVertexAIChatMessage[];
-}
-
-/**
- * Defines the input to the Google Vertex AI chat model.
- */
-export interface GoogleVertexAIChatInput<AuthOptions>
-  extends GoogleVertexAIBaseLLMInput<AuthOptions> {
-  /** Instructions how the model should respond */
-  context?: string;
-
-  /** Help the model understand what an appropriate response is */
-  examples?: ChatExample[];
-}
-
-/**
- * Base class for Google Vertex AI chat models.
- * Implemented subclasses must provide a GoogleVertexAILLMConnection
- * with appropriate auth client.
- */
-export class BaseChatGoogleVertexAI<AuthOptions>
-  extends BaseChatModel
-  implements GoogleVertexAIChatInput<AuthOptions>
-{
-  lc_serializable = true;
-
-  model = "chat-bison";
-
-  temperature = 0.2;
-
-  maxOutputTokens = 1024;
-
-  topP = 0.8;
-
-  topK = 40;
-
-  examples: ChatExample[] = [];
-
-  connection: GoogleVertexAILLMConnection<
-    BaseLanguageModelCallOptions,
-    GoogleVertexAIChatInstance,
-    GoogleVertexAIChatPrediction,
-    AuthOptions
-  >;
-
-  streamedConnection: GoogleVertexAILLMConnection<
-    BaseLanguageModelCallOptions,
-    GoogleVertexAIChatInstance,
-    GoogleVertexAIChatPrediction,
-    AuthOptions
-  >;
-
-  get lc_aliases(): Record<string, string> {
-    return {
-      model: "model_name",
-    };
-  }
-
-  constructor(fields?: GoogleVertexAIChatInput<AuthOptions>) {
-    super(fields ?? {});
-
-    this.model = fields?.model ?? this.model;
-    this.temperature = fields?.temperature ?? this.temperature;
-    this.maxOutputTokens = fields?.maxOutputTokens ?? this.maxOutputTokens;
-    this.topP = fields?.topP ?? this.topP;
-    this.topK = fields?.topK ?? this.topK;
-    this.examples = fields?.examples ?? this.examples;
-  }
-
-  _combineLLMOutput(): LLMResult["llmOutput"] {
-    // TODO: Combine the safetyAttributes
-    return [];
-  }
-
-  async *_streamResponseChunks(
-    _messages: BaseMessage[],
-    _options: this["ParsedCallOptions"],
-    _runManager?: CallbackManagerForLLMRun
-  ): AsyncGenerator<ChatGenerationChunk> {
-    // Make the call as a streaming request
-    const instance: GoogleVertexAIChatInstance = this.createInstance(_messages);
-    const parameters = this.formatParameters();
-    const result = await this.streamedConnection.request(
-      [instance],
-      parameters,
-      _options
-    );
-
-    // Get the streaming parser of the response
-    const stream = result.data as GoogleVertexAIStream;
-
-    // Loop until the end of the stream
-    // During the loop, yield each time we get a chunk from the streaming parser
-    // that is either available or added to the queue
-    while (!stream.streamDone) {
-      const output = await stream.nextChunk();
-      const chunk =
-        output !== null
-          ? BaseChatGoogleVertexAI.convertPredictionChunk(output)
-          : new ChatGenerationChunk({
-              text: "",
-              message: new AIMessageChunk(""),
-              generationInfo: { finishReason: "stop" },
-            });
-      yield chunk;
-    }
-  }
-
-  async _generate(
-    messages: BaseMessage[],
-    options: this["ParsedCallOptions"]
-  ): Promise<ChatResult> {
-    const instance: GoogleVertexAIChatInstance = this.createInstance(messages);
-    const parameters: GoogleVertexAIModelParams = this.formatParameters();
-
-    const result = await this.connection.request(
-      [instance],
-      parameters,
-      options
-    );
-
-    const generations =
-      (
-        result?.data as GoogleVertexAILLMPredictions<GoogleVertexAIChatPrediction>
-      )?.predictions?.map((prediction) =>
-        BaseChatGoogleVertexAI.convertPrediction(prediction)
-      ) ?? [];
-    return {
-      generations,
-    };
-  }
-
-  _llmType(): string {
-    return "vertexai";
-  }
-
-  /**
-   * Creates an instance of the Google Vertex AI chat model.
-   * @param messages The messages for the model instance.
-   * @returns A new instance of the Google Vertex AI chat model.
-   */
-  createInstance(messages: BaseMessage[]): GoogleVertexAIChatInstance {
-    let context = "";
-    let conversationMessages = messages;
-    if (messages[0]?._getType() === "system") {
-      if (typeof messages[0].content !== "string") {
-        throw new Error(
-          "ChatGoogleVertexAI does not support non-string message content."
-        );
-      }
-      context = messages[0].content;
-      conversationMessages = messages.slice(1);
-    }
-    // https://cloud.google.com/vertex-ai/docs/generative-ai/chat/test-chat-prompts
-    if (conversationMessages.length % 2 === 0) {
-      throw new Error(
-        `Google Vertex AI requires an odd number of messages to generate a response.`
-      );
-    }
-    const vertexChatMessages = conversationMessages.map((baseMessage, i) => {
-      const currMessage = GoogleVertexAIChatMessage.fromChatMessage(
-        baseMessage,
-        this.model
-      );
-      const prevMessage =
-        i > 0
-          ? GoogleVertexAIChatMessage.fromChatMessage(
-              conversationMessages[i - 1],
-              this.model
-            )
-          : null;
-
-      // https://cloud.google.com/vertex-ai/docs/generative-ai/chat/chat-prompts#messages
-      if (prevMessage && currMessage.author === prevMessage.author) {
-        throw new Error(
-          `Google Vertex AI requires AI and human messages to alternate.`
-        );
-      }
-      return currMessage;
-    });
-
-    const examples = this.examples.map((example) => ({
-      input: GoogleVertexAIChatMessage.fromChatMessage(
-        example.input,
-        this.model
-      ),
-      output: GoogleVertexAIChatMessage.fromChatMessage(
-        example.output,
-        this.model
-      ),
-    }));
-
-    const instance: GoogleVertexAIChatInstance = {
-      context,
-      examples,
-      messages: vertexChatMessages,
-    };
-
-    return instance;
-  }
-
-  formatParameters(): GoogleVertexAIModelParams {
-    return {
-      temperature: this.temperature,
-      topK: this.topK,
-      topP: this.topP,
-      maxOutputTokens: this.maxOutputTokens,
-    };
-  }
-
-  /**
-   * Converts a prediction from the Google Vertex AI chat model to a chat
-   * generation.
-   * @param prediction The prediction to convert.
-   * @returns The converted chat generation.
-   */
-  static convertPrediction(
-    prediction: GoogleVertexAIChatPrediction
-  ): ChatGeneration {
-    const message = prediction?.candidates[0];
-    return {
-      text: message?.content,
-      message: new AIMessage(message.content),
-      generationInfo: prediction,
-    };
-  }
-
-  // eslint-disable-next-line @typescript-eslint/no-explicit-any
-  static convertPredictionChunk(output: any): ChatGenerationChunk {
-    const generation: ChatGeneration = BaseChatGoogleVertexAI.convertPrediction(
-      output.outputs[0]
-    );
-    return new ChatGenerationChunk({
-      text: generation.text,
-      message: new AIMessageChunk(generation.message),
-      generationInfo: generation.generationInfo,
-    });
-  }
-}
diff --git a/libs/langchain-community/src/chat_models/googlevertexai/index.ts b/libs/langchain-community/src/chat_models/googlevertexai/index.ts
deleted file mode 100644
index d93693e8fcc0..000000000000
--- a/libs/langchain-community/src/chat_models/googlevertexai/index.ts
+++ /dev/null
@@ -1,64 +0,0 @@
-import { GoogleAuthOptions } from "google-auth-library";
-import { BaseChatGoogleVertexAI, GoogleVertexAIChatInput } from "./common.js";
-import { GoogleVertexAILLMConnection } from "../../utils/googlevertexai-connection.js";
-import { GAuthClient } from "../../utils/googlevertexai-gauth.js";
-
-/**
- * Enables calls to the Google Cloud's Vertex AI API to access
- * Large Language Models in a chat-like fashion.
- *
- * To use, you will need to have one of the following authentication
- * methods in place:
- * - You are logged into an account permitted to the Google Cloud project
- *   using Vertex AI.
- * - You are running this on a machine using a service account permitted to
- *   the Google Cloud project using Vertex AI.
- * - The `GOOGLE_APPLICATION_CREDENTIALS` environment variable is set to the
- *   path of a credentials file for a service account permitted to the
- *   Google Cloud project using Vertex AI.
- * @example
- * ```typescript
- * const model = new ChatGoogleVertexAI({
- *   temperature: 0.7,
- * });
- * const result = await model.invoke("What is the capital of France?");
- * ```
- */
-export class ChatGoogleVertexAI extends BaseChatGoogleVertexAI<GoogleAuthOptions> {
-  static lc_name() {
-    return "ChatVertexAI";
-  }
-
-  constructor(fields?: GoogleVertexAIChatInput<GoogleAuthOptions>) {
-    super(fields);
-
-    const client = new GAuthClient({
-      scopes: "https://www.googleapis.com/auth/cloud-platform",
-      ...fields?.authOptions,
-    });
-
-    this.connection = new GoogleVertexAILLMConnection(
-      { ...fields, ...this },
-      this.caller,
-      client,
-      false
-    );
-
-    this.streamedConnection = new GoogleVertexAILLMConnection(
-      { ...fields, ...this },
-      this.caller,
-      client,
-      true
-    );
-  }
-}
-
-export type {
-  ChatExample,
-  GoogleVertexAIChatAuthor,
-  GoogleVertexAIChatInput,
-  GoogleVertexAIChatInstance,
-  GoogleVertexAIChatMessage,
-  GoogleVertexAIChatMessageFields,
-  GoogleVertexAIChatPrediction,
-} from "./common.js";
diff --git a/libs/langchain-community/src/chat_models/googlevertexai/web.ts b/libs/langchain-community/src/chat_models/googlevertexai/web.ts
deleted file mode 100644
index 503058fc0e21..000000000000
--- a/libs/langchain-community/src/chat_models/googlevertexai/web.ts
+++ /dev/null
@@ -1,66 +0,0 @@
-import { GoogleVertexAILLMConnection } from "../../utils/googlevertexai-connection.js";
-import {
-  WebGoogleAuthOptions,
-  WebGoogleAuth,
-} from "../../utils/googlevertexai-webauth.js";
-import { BaseChatGoogleVertexAI, GoogleVertexAIChatInput } from "./common.js";
-
-/**
- * Enables calls to the Google Cloud's Vertex AI API to access
- * Large Language Models in a chat-like fashion.
- *
- * This entrypoint and class are intended to be used in web environments like Edge
- * functions where you do not have access to the file system. It supports passing
- * service account credentials directly as a "GOOGLE_VERTEX_AI_WEB_CREDENTIALS"
- * environment variable or directly as "authOptions.credentials".
- * @example
- * ```typescript
- * const model = new ChatGoogleVertexAI({
- *   temperature: 0.7,
- * });
- * const result = await model.invoke(
- *   "How do I implement a binary search algorithm in Python?",
- * );
- * ```
- */
-export class ChatGoogleVertexAI extends BaseChatGoogleVertexAI<WebGoogleAuthOptions> {
-  static lc_name() {
-    return "ChatVertexAI";
-  }
-
-  get lc_secrets(): { [key: string]: string } {
-    return {
-      "authOptions.credentials": "GOOGLE_VERTEX_AI_WEB_CREDENTIALS",
-    };
-  }
-
-  constructor(fields?: GoogleVertexAIChatInput<WebGoogleAuthOptions>) {
-    super(fields);
-
-    const client = new WebGoogleAuth(fields?.authOptions);
-
-    this.connection = new GoogleVertexAILLMConnection(
-      { ...fields, ...this },
-      this.caller,
-      client,
-      false
-    );
-
-    this.streamedConnection = new GoogleVertexAILLMConnection(
-      { ...fields, ...this },
-      this.caller,
-      client,
-      true
-    );
-  }
-}
-
-export type {
-  ChatExample,
-  GoogleVertexAIChatAuthor,
-  GoogleVertexAIChatInput,
-  GoogleVertexAIChatInstance,
-  GoogleVertexAIChatMessage,
-  GoogleVertexAIChatMessageFields,
-  GoogleVertexAIChatPrediction,
-} from "./common.js";
diff --git a/libs/langchain-community/src/chat_models/tests/chatgooglepalm.int.test.ts b/libs/langchain-community/src/chat_models/tests/chatgooglepalm.int.test.ts
deleted file mode 100644
index c9e15956e678..000000000000
--- a/libs/langchain-community/src/chat_models/tests/chatgooglepalm.int.test.ts
+++ /dev/null
@@ -1,115 +0,0 @@
-import { test } from "@jest/globals";
-import { HumanMessage, AIMessage } from "@langchain/core/messages";
-import {
-  PromptTemplate,
-  ChatPromptTemplate,
-  AIMessagePromptTemplate,
-  HumanMessagePromptTemplate,
-  SystemMessagePromptTemplate,
-} from "@langchain/core/prompts";
-import { ChatGooglePaLM } from "../googlepalm.js";
-
-test.skip("Test ChatGooglePalm", async () => {
-  const chat = new ChatGooglePaLM({
-    maxRetries: 1,
-  });
-  const message = new HumanMessage("Hello!");
-  // @eslint-disable-next-line/@typescript-eslint/ban-ts-comment
-  // @ts-expect-error unused var
-  const res = await chat.invoke([message]);
-  // console.log({ res });
-});
-
-test.skip("Test ChatGooglePalm generate", async () => {
-  const chat = new ChatGooglePaLM({
-    maxRetries: 1,
-  });
-  const message = new HumanMessage("Hello!");
-  // @eslint-disable-next-line/@typescript-eslint/ban-ts-comment
-  // @ts-expect-error unused var
-  const res = await chat.generate([[message]]);
-  // console.log(JSON.stringify(res, null, 2));
-});
-
-test.skip("ChatGooglePalm, prompt templates", async () => {
-  const chat = new ChatGooglePaLM({
-    maxRetries: 1,
-    examples: [
-      {
-        input: new HumanMessage("What is your favorite sock color?"),
-        output: new AIMessage("My favorite sock color be arrrr-ange!"),
-      },
-    ],
-  });
-
-  // PaLM doesn't support translation yet
-  const systemPrompt = PromptTemplate.fromTemplate(
-    "You are a helpful assistant who must always respond like a {job}."
-  );
-
-  const chatPrompt = ChatPromptTemplate.fromMessages([
-    new SystemMessagePromptTemplate(systemPrompt),
-    HumanMessagePromptTemplate.fromTemplate("{text}"),
-  ]);
-
-  // @eslint-disable-next-line/@typescript-eslint/ban-ts-comment
-  // @ts-expect-error unused var
-  const responseA = await chat.generatePrompt([
-    await chatPrompt.formatPromptValue({
-      job: "pirate",
-      text: "What would be a good company name a company that makes colorful socks?",
-    }),
-  ]);
-
-  // console.log(responseA.generations);
-});
-
-test.skip("ChatGooglePalm, longer chain of messages", async () => {
-  const chat = new ChatGooglePaLM({
-    maxRetries: 1,
-  });
-
-  const chatPrompt = ChatPromptTemplate.fromMessages([
-    AIMessagePromptTemplate.fromTemplate(
-      `Hello there! I'm Droid, your personal assistant.`
-    ),
-    HumanMessagePromptTemplate.fromTemplate(`Hi, my name is Joe!`),
-    AIMessagePromptTemplate.fromTemplate(
-      `Nice to meet you, Joe! How can I help you today?`
-    ),
-    HumanMessagePromptTemplate.fromTemplate("{text}"),
-  ]);
-
-  // @eslint-disable-next-line/@typescript-eslint/ban-ts-comment
-  // @ts-expect-error unused var
-  const responseA = await chat.generatePrompt([
-    await chatPrompt.formatPromptValue({
-      text: "What did I just say my name was?",
-    }),
-  ]);
-
-  // console.log(responseA.generations);
-});
-
-test.skip("ChatGooglePalm, chain of messages on code", async () => {
-  const chat = new ChatGooglePaLM({
-    maxRetries: 1,
-  });
-
-  const chatPrompt = ChatPromptTemplate.fromMessages([
-    SystemMessagePromptTemplate.fromTemplate(
-      `Answer all questions using Python and just show the code without an explanation.`
-    ),
-    HumanMessagePromptTemplate.fromTemplate("{text}"),
-  ]);
-
-  // @eslint-disable-next-line/@typescript-eslint/ban-ts-comment
-  // @ts-expect-error unused var
-  const responseA = await chat.generatePrompt([
-    await chatPrompt.formatPromptValue({
-      text: "How can I write a for loop counting to 10?",
-    }),
-  ]);
-
-  // console.log(JSON.stringify(responseA.generations, null, 1));
-});
diff --git a/libs/langchain-community/src/chat_models/tests/chatgooglepalm.test.ts b/libs/langchain-community/src/chat_models/tests/chatgooglepalm.test.ts
deleted file mode 100644
index 72e9927aa503..000000000000
--- a/libs/langchain-community/src/chat_models/tests/chatgooglepalm.test.ts
+++ /dev/null
@@ -1,252 +0,0 @@
-import { protos } from "@google-ai/generativelanguage";
-import { expect, test } from "@jest/globals";
-import {
-  AIMessage,
-  BaseMessage,
-  HumanMessage,
-  SystemMessage,
-} from "@langchain/core/messages";
-import { ChatGooglePaLM } from "../googlepalm.js";
-
-// Test class extending actual class to test private & protected methods
-class ChatGooglePaLMTest extends ChatGooglePaLM {
-  public _getPalmContextInstruction(messages: BaseMessage[]) {
-    return super._getPalmContextInstruction(messages);
-  }
-
-  public _mapBaseMessagesToPalmMessages(messages: BaseMessage[]) {
-    return super._mapBaseMessagesToPalmMessages(messages);
-  }
-
-  public _mapPalmMessagesToChatResult(
-    msgRes: protos.google.ai.generativelanguage.v1beta2.IGenerateMessageResponse
-  ) {
-    return super._mapPalmMessagesToChatResult(msgRes);
-  }
-}
-
-test("Google Palm Chat - `temperature` must be in range [0.0,1.0]", async () => {
-  expect(
-    () =>
-      new ChatGooglePaLMTest({
-        temperature: -1.0,
-      })
-  ).toThrow();
-  expect(
-    () =>
-      new ChatGooglePaLMTest({
-        temperature: 1.1,
-      })
-  ).toThrow();
-});
-
-test("Google Palm Chat - `topP` must be positive", async () => {
-  expect(
-    () =>
-      new ChatGooglePaLMTest({
-        topP: -1,
-      })
-  ).toThrow();
-});
-
-test("Google Palm Chat - `topK` must be positive", async () => {
-  expect(
-    () =>
-      new ChatGooglePaLMTest({
-        topK: -1,
-      })
-  ).toThrow();
-});
-
-test("Google Palm Chat - gets the Palm prompt context from 'system' messages", async () => {
-  const messages: BaseMessage[] = [
-    new SystemMessage("system-1"),
-    new AIMessage("ai-1"),
-    new HumanMessage("human-1"),
-    new SystemMessage("system-2"),
-  ];
-  const model = new ChatGooglePaLMTest({
-    apiKey: "GOOGLE_PALM_API_KEY",
-  });
-
-  const context = model._getPalmContextInstruction(messages);
-  expect(context).toBe("system-1");
-});
-
-test("Google Palm Chat - maps `BaseMessage` to Palm message", async () => {
-  const messages: BaseMessage[] = [
-    new SystemMessage("system-1"),
-    new AIMessage("ai-1"),
-    new HumanMessage("human-1"),
-    new AIMessage({
-      content: "ai-2",
-      name: "droid",
-      additional_kwargs: {
-        citationSources: [
-          {
-            startIndex: 0,
-            endIndex: 5,
-            uri: "https://example.com",
-            license: "MIT",
-          },
-        ],
-      },
-    }),
-    new HumanMessage({
-      content: "human-2",
-      name: "skywalker",
-    }),
-  ];
-  const model = new ChatGooglePaLMTest({
-    apiKey: "GOOGLE_PALM_API_KEY",
-  });
-
-  const palmMessages = model._mapBaseMessagesToPalmMessages(messages);
-  expect(palmMessages.length).toEqual(4);
-  expect(palmMessages[0]).toEqual({
-    author: "ai",
-    content: "ai-1",
-    citationMetadata: {
-      citationSources: undefined,
-    },
-  });
-  expect(palmMessages[1]).toEqual({
-    author: "human",
-    content: "human-1",
-    citationMetadata: {
-      citationSources: undefined,
-    },
-  });
-  expect(palmMessages[2]).toEqual({
-    author: "droid",
-    content: "ai-2",
-    citationMetadata: {
-      citationSources: [
-        {
-          startIndex: 0,
-          endIndex: 5,
-          uri: "https://example.com",
-          license: "MIT",
-        },
-      ],
-    },
-  });
-  expect(palmMessages[3]).toEqual({
-    author: "skywalker",
-    content: "human-2",
-    citationMetadata: {
-      citationSources: undefined,
-    },
-  });
-});
-
-test("Google Palm Chat - removes 'system' messages while mapping `BaseMessage` to Palm message", async () => {
-  const messages: BaseMessage[] = [
-    new SystemMessage("system-1"),
-    new AIMessage("ai-1"),
-    new HumanMessage("human-1"),
-    new SystemMessage("system-2"),
-  ];
-  const model = new ChatGooglePaLMTest({
-    apiKey: "GOOGLE_PALM_API_KEY",
-  });
-
-  const palmMessages = model._mapBaseMessagesToPalmMessages(messages);
-  expect(palmMessages.length).toEqual(2);
-  expect(palmMessages[0].content).toEqual("ai-1");
-  expect(palmMessages[1].content).toEqual("human-1");
-});
-
-test("Google Palm Chat - throws error for consecutive 'ai'/'human' messages while mapping `BaseMessage` to Palm message", async () => {
-  const messages: BaseMessage[] = [
-    new AIMessage("ai-1"),
-    new HumanMessage("human-1"),
-    new AIMessage("ai-2"),
-    new HumanMessage("human-2"),
-    new HumanMessage("human-3"),
-  ];
-  const model = new ChatGooglePaLMTest({
-    apiKey: "GOOGLE_PALM_API_KEY",
-  });
-
-  expect(() => model._mapBaseMessagesToPalmMessages(messages)).toThrow();
-});
-
-test("Google Palm Chat - maps Palm generated message to `AIMessage` chat result", async () => {
-  const generations: protos.google.ai.generativelanguage.v1beta2.IGenerateMessageResponse =
-    {
-      candidates: [
-        {
-          author: "droid",
-          content: "ai-1",
-          citationMetadata: {
-            citationSources: [
-              {
-                startIndex: 0,
-                endIndex: 5,
-                uri: "https://example.com",
-                license: "MIT",
-              },
-            ],
-          },
-        },
-      ],
-      filters: [
-        {
-          message: "potential problem",
-          reason: "SAFETY",
-        },
-      ],
-    };
-  const model = new ChatGooglePaLMTest({
-    apiKey: "GOOGLE_PALM_API_KEY",
-  });
-
-  const chatResult = model._mapPalmMessagesToChatResult(generations);
-  expect(chatResult.generations.length).toEqual(1);
-  expect(chatResult.generations[0].text).toBe("ai-1");
-  expect(chatResult.generations[0].message._getType()).toBe("ai");
-  expect(chatResult.generations[0].message.name).toBe("droid");
-  expect(chatResult.generations[0].message.content).toBe("ai-1");
-  expect(
-    chatResult.generations[0].message.additional_kwargs.citationSources
-  ).toEqual([
-    {
-      startIndex: 0,
-      endIndex: 5,
-      uri: "https://example.com",
-      license: "MIT",
-    },
-  ]);
-  expect(chatResult.generations[0].message.additional_kwargs.filters).toEqual([
-    {
-      message: "potential problem",
-      reason: "SAFETY",
-    },
-  ]);
-});
-
-test("Google Palm Chat - gets empty chat result & reason if generation failed", async () => {
-  const generations: protos.google.ai.generativelanguage.v1beta2.IGenerateMessageResponse =
-    {
-      candidates: [],
-      filters: [
-        {
-          message: "potential problem",
-          reason: "SAFETY",
-        },
-      ],
-    };
-  const model = new ChatGooglePaLMTest({
-    apiKey: "GOOGLE_PALM_API_KEY",
-  });
-
-  const chatResult = model._mapPalmMessagesToChatResult(generations);
-  expect(chatResult.generations.length).toEqual(0);
-  expect(chatResult.llmOutput?.filters).toEqual([
-    {
-      message: "potential problem",
-      reason: "SAFETY",
-    },
-  ]);
-});
diff --git a/libs/langchain-community/src/chat_models/tests/chatgooglevertexai.int.test.ts b/libs/langchain-community/src/chat_models/tests/chatgooglevertexai.int.test.ts
deleted file mode 100644
index 93bff88e86c0..000000000000
--- a/libs/langchain-community/src/chat_models/tests/chatgooglevertexai.int.test.ts
+++ /dev/null
@@ -1,128 +0,0 @@
-import { describe, expect, test } from "@jest/globals";
-import { ChatMessage, HumanMessage } from "@langchain/core/messages";
-import {
-  PromptTemplate,
-  ChatPromptTemplate,
-  AIMessagePromptTemplate,
-  HumanMessagePromptTemplate,
-  SystemMessagePromptTemplate,
-} from "@langchain/core/prompts";
-import { ChatGoogleVertexAI } from "../googlevertexai/index.js";
-
-describe("ChatGoogleVertexAI", () => {
-  test("call", async () => {
-    const chat = new ChatGoogleVertexAI();
-    const message = new HumanMessage("Hello!");
-    // @eslint-disable-next-line/@typescript-eslint/ban-ts-comment
-    // @ts-expect-error unused var
-    const res = await chat.invoke([message]);
-    // console.log({ res });
-  });
-
-  test("32k", async () => {
-    const chat = new ChatGoogleVertexAI({
-      model: "chat-bison-32k",
-    });
-    const message = new HumanMessage("Hello!");
-    // @eslint-disable-next-line/@typescript-eslint/ban-ts-comment
-    // @ts-expect-error unused var
-    const res = await chat.invoke([message]);
-    // console.log({ res });
-  });
-
-  test("generate", async () => {
-    const chat = new ChatGoogleVertexAI();
-    const message = new HumanMessage("Hello!");
-    // @eslint-disable-next-line/@typescript-eslint/ban-ts-comment
-    // @ts-expect-error unused var
-    const res = await chat.generate([[message]]);
-    // console.log(JSON.stringify(res, null, 2));
-  });
-
-  test("custom messages", async () => {
-    const chat = new ChatGoogleVertexAI();
-    // @eslint-disable-next-line/@typescript-eslint/ban-ts-comment
-    // @ts-expect-error unused var
-    const res = await chat.invoke([new ChatMessage("Hello!", "user")]);
-    // console.log(JSON.stringify(res, null, 2));
-  });
-
-  test("prompt templates", async () => {
-    const chat = new ChatGoogleVertexAI();
-
-    // PaLM doesn't support translation yet
-    const systemPrompt = PromptTemplate.fromTemplate(
-      "You are a helpful assistant who must always respond like a {job}."
-    );
-
-    const chatPrompt = ChatPromptTemplate.fromMessages([
-      new SystemMessagePromptTemplate(systemPrompt),
-      HumanMessagePromptTemplate.fromTemplate("{text}"),
-    ]);
-
-    // @eslint-disable-next-line/@typescript-eslint/ban-ts-comment
-    // @ts-expect-error unused var
-    const responseA = await chat.generatePrompt([
-      await chatPrompt.formatPromptValue({
-        job: "pirate",
-        text: "What would be a good company name a company that makes colorful socks?",
-      }),
-    ]);
-
-    // console.log(responseA.generations);
-  });
-
-  test("longer chain of messages", async () => {
-    const chat = new ChatGoogleVertexAI();
-
-    const chatPrompt = ChatPromptTemplate.fromMessages([
-      HumanMessagePromptTemplate.fromTemplate(`Hi, my name is Joe!`),
-      AIMessagePromptTemplate.fromTemplate(`Nice to meet you, Joe!`),
-      HumanMessagePromptTemplate.fromTemplate("{text}"),
-    ]);
-
-    // @eslint-disable-next-line/@typescript-eslint/ban-ts-comment
-    // @ts-expect-error unused var
-    const responseA = await chat.generatePrompt([
-      await chatPrompt.formatPromptValue({
-        text: "What did I just say my name was?",
-      }),
-    ]);
-
-    // console.log(responseA.generations);
-  });
-
-  test("code, chain of messages", async () => {
-    const chat = new ChatGoogleVertexAI({ model: "codechat-bison" });
-
-    const chatPrompt = ChatPromptTemplate.fromMessages([
-      SystemMessagePromptTemplate.fromTemplate(
-        `Answer all questions using Python and just show the code without an explanation.`
-      ),
-      HumanMessagePromptTemplate.fromTemplate("{text}"),
-    ]);
-
-    // @eslint-disable-next-line/@typescript-eslint/ban-ts-comment
-    // @ts-expect-error unused var
-    const responseA = await chat.generatePrompt([
-      await chatPrompt.formatPromptValue({
-        text: "How can I write a for loop counting to 10?",
-      }),
-    ]);
-
-    // console.log(JSON.stringify(responseA.generations, null, 1));
-  });
-
-  test("stream method", async () => {
-    const model = new ChatGoogleVertexAI();
-    const stream = await model.stream(
-      "What is the answer to life, the universe, and everything? Be verbose."
-    );
-    const chunks = [];
-    for await (const chunk of stream) {
-      // console.log("chunk", chunk);
-      chunks.push(chunk);
-    }
-    expect(chunks.length).toBeGreaterThan(1);
-  });
-});
diff --git a/libs/langchain-community/src/chat_models/tests/chatgooglevertexai.test.ts b/libs/langchain-community/src/chat_models/tests/chatgooglevertexai.test.ts
deleted file mode 100644
index 23ace5a83958..000000000000
--- a/libs/langchain-community/src/chat_models/tests/chatgooglevertexai.test.ts
+++ /dev/null
@@ -1,116 +0,0 @@
-import { test, expect } from "@jest/globals";
-import {
-  BaseMessage,
-  SystemMessage,
-  HumanMessage,
-  AIMessage,
-} from "@langchain/core/messages";
-import { ChatExample, ChatGoogleVertexAI } from "../googlevertexai/index.js";
-
-test("Google messages", async () => {
-  const messages: BaseMessage[] = [
-    new HumanMessage("Human1"),
-    new AIMessage("AI1"),
-    new HumanMessage("Human2"),
-  ];
-  const model = new ChatGoogleVertexAI();
-  const instance = model.createInstance(messages);
-  expect(instance.context).toBe("");
-  expect(instance.messages[0].author).toBe("user");
-  expect(instance.messages[1].author).toBe("bot");
-});
-
-test("Google messages with a system message", async () => {
-  const messages: BaseMessage[] = [
-    new SystemMessage("System1"),
-    new HumanMessage("Human1"),
-    new AIMessage("AI1"),
-    new HumanMessage("Human2"),
-  ];
-  const model = new ChatGoogleVertexAI();
-  const instance = model.createInstance(messages);
-  expect(instance.context).toBe("System1");
-  expect(instance.messages[0].author).toBe("user");
-  expect(instance.messages[1].author).toBe("bot");
-});
-
-test("Google examples", async () => {
-  const messages: BaseMessage[] = [
-    new SystemMessage("System1"),
-    new HumanMessage("Human1"),
-    new AIMessage("AI1"),
-    new HumanMessage("Human2"),
-  ];
-  const examples: ChatExample[] = [
-    {
-      input: new HumanMessage("Example Human1"),
-      output: new AIMessage("Example AI1"),
-    },
-  ];
-  const model = new ChatGoogleVertexAI({
-    examples,
-  });
-  const instance = model.createInstance(messages);
-  // console.log(JSON.stringify(instance, null, 2));
-  expect(instance.examples?.[0].input.author).toBe("user");
-  expect(instance.examples?.[0].output.author).toBe("bot");
-});
-
-test("Google Throw an error for input messages where SystemMessage is not first", async () => {
-  const messages: BaseMessage[] = [
-    new HumanMessage("Human1"),
-    new SystemMessage("System1"),
-    new AIMessage("AI1"),
-    new HumanMessage("Human2"),
-  ];
-  const model = new ChatGoogleVertexAI();
-  expect(() => model.createInstance(messages)).toThrow();
-});
-
-test("Google Throw an error for input messages where messages the same type of message occurs twice in a row", async () => {
-  const messages: BaseMessage[] = [
-    new SystemMessage("System1"),
-    new HumanMessage("Human1"),
-    new HumanMessage("Human2"),
-    new AIMessage("AI1"),
-  ];
-  const model = new ChatGoogleVertexAI();
-  expect(() => model.createInstance(messages)).toThrow();
-});
-
-test("Google Throw an error for an even number of non-system input messages", async () => {
-  const messages: BaseMessage[] = [
-    new SystemMessage("System1"),
-    new HumanMessage("Human2"),
-    new AIMessage("AI1"),
-  ];
-  const model = new ChatGoogleVertexAI();
-  expect(() => model.createInstance(messages)).toThrow();
-});
-
-test("Google code messages", async () => {
-  const messages: BaseMessage[] = [
-    new HumanMessage("Human1"),
-    new AIMessage("AI1"),
-    new HumanMessage("Human2"),
-  ];
-  const model = new ChatGoogleVertexAI({ model: "codechat-bison" });
-  const instance = model.createInstance(messages);
-  expect(instance.context).toBe("");
-  expect(instance.messages[0].author).toBe("user");
-  expect(instance.messages[1].author).toBe("system");
-});
-
-test("Google code messages with a system message", async () => {
-  const messages: BaseMessage[] = [
-    new SystemMessage("System1"),
-    new HumanMessage("Human1"),
-    new AIMessage("AI1"),
-    new HumanMessage("Human2"),
-  ];
-  const model = new ChatGoogleVertexAI({ model: "codechat-bison" });
-  const instance = model.createInstance(messages);
-  expect(instance.context).toBe("System1");
-  expect(instance.messages[0].author).toBe("user");
-  expect(instance.messages[1].author).toBe("system");
-});
diff --git a/libs/langchain-community/src/chat_models/tests/chatgooglevertexai_web.int.test.ts b/libs/langchain-community/src/chat_models/tests/chatgooglevertexai_web.int.test.ts
deleted file mode 100644
index 4eec451f13e9..000000000000
--- a/libs/langchain-community/src/chat_models/tests/chatgooglevertexai_web.int.test.ts
+++ /dev/null
@@ -1,129 +0,0 @@
-// Requires corepack: https://nodejs.org/api/corepack.html
-// Enable with:
-// $ corepack enable
-import { describe, expect, test } from "@jest/globals";
-import { ChatMessage, HumanMessage } from "@langchain/core/messages";
-import {
-  PromptTemplate,
-  ChatPromptTemplate,
-  AIMessagePromptTemplate,
-  HumanMessagePromptTemplate,
-  SystemMessagePromptTemplate,
-} from "@langchain/core/prompts";
-import { ChatGoogleVertexAI } from "../googlevertexai/web.js";
-
-describe("ChatGoogleVertexAIWeb", () => {
-  test("call", async () => {
-    const chat = new ChatGoogleVertexAI();
-    const message = new HumanMessage("Hello!");
-    // @eslint-disable-next-line/@typescript-eslint/ban-ts-comment
-    // @ts-expect-error unused var
-    const res = await chat.invoke([message]);
-    // console.log({ res });
-  });
-
-  test("32k", async () => {
-    const chat = new ChatGoogleVertexAI({
-      model: "chat-bison-32k",
-    });
-    const message = new HumanMessage("Hello!");
-    // @eslint-disable-next-line/@typescript-eslint/ban-ts-comment
-    // @ts-expect-error unused var
-    const res = await chat.invoke([message]);
-    // console.log({ res });
-  });
-
-  test("generate", async () => {
-    const chat = new ChatGoogleVertexAI();
-    const message = new HumanMessage("Hello!");
-    // @eslint-disable-next-line/@typescript-eslint/ban-ts-comment
-    // @ts-expect-error unused var
-    const res = await chat.generate([[message]]);
-    // console.log(JSON.stringify(res, null, 2));
-  });
-
-  test("custom messages", async () => {
-    const chat = new ChatGoogleVertexAI();
-    // @eslint-disable-next-line/@typescript-eslint/ban-ts-comment
-    // @ts-expect-error unused var
-    const res = await chat.invoke([new ChatMessage("Hello!", "user")]);
-    // console.log(JSON.stringify(res, null, 2));
-  });
-
-  test("prompt templates", async () => {
-    const chat = new ChatGoogleVertexAI();
-
-    // PaLM doesn't support translation yet
-    const systemPrompt = PromptTemplate.fromTemplate(
-      "You are a helpful assistant who must always respond like a {job}."
-    );
-
-    const chatPrompt = ChatPromptTemplate.fromMessages([
-      new SystemMessagePromptTemplate(systemPrompt),
-      HumanMessagePromptTemplate.fromTemplate("{text}"),
-    ]);
-
-    // @eslint-disable-next-line/@typescript-eslint/ban-ts-comment
-    // @ts-expect-error unused var
-    const responseA = await chat.generatePrompt([
-      await chatPrompt.formatPromptValue({
-        job: "pirate",
-        text: "What would be a good company name a company that makes colorful socks?",
-      }),
-    ]);
-
-    // console.log(responseA.generations);
-  });
-
-  test("longer chain of messages", async () => {
-    const chat = new ChatGoogleVertexAI();
-
-    const chatPrompt = ChatPromptTemplate.fromMessages([
-      HumanMessagePromptTemplate.fromTemplate(`Hi, my name is Joe!`),
-      AIMessagePromptTemplate.fromTemplate(`Nice to meet you, Joe!`),
-      HumanMessagePromptTemplate.fromTemplate("{text}"),
-    ]);
-
-    // @eslint-disable-next-line/@typescript-eslint/ban-ts-comment
-    // @ts-expect-error unused var
-    const responseA = await chat.generatePrompt([
-      await chatPrompt.formatPromptValue({
-        text: "What did I just say my name was?",
-      }),
-    ]);
-
-    // console.log(responseA.generations);
-  });
-
-  test("code, chain of messages", async () => {
-    const chat = new ChatGoogleVertexAI({ model: "codechat-bison" });
-
-    const chatPrompt = ChatPromptTemplate.fromMessages([
-      SystemMessagePromptTemplate.fromTemplate(
-        `Answer all questions using Python and just show the code without an explanation.`
-      ),
-      HumanMessagePromptTemplate.fromTemplate("{text}"),
-    ]);
-
-    // @eslint-disable-next-line/@typescript-eslint/ban-ts-comment
-    // @ts-expect-error unused var
-    const responseA = await chat.generatePrompt([
-      await chatPrompt.formatPromptValue({
-        text: "How can I write a for loop counting to 10?",
-      }),
-    ]);
-
-    // console.log(JSON.stringify(responseA.generations, null, 1));
-  });
-
-  test("stream method", async () => {
-    const model = new ChatGoogleVertexAI({});
-    const stream = await model.stream("Print hello world.");
-    const chunks = [];
-    for await (const chunk of stream) {
-      // console.log(chunk);
-      chunks.push(chunk);
-    }
-    expect(chunks.length).toBeGreaterThan(1);
-  });
-});
diff --git a/libs/langchain-community/src/chat_models/tests/chatgooglevertexai_web.test.ts b/libs/langchain-community/src/chat_models/tests/chatgooglevertexai_web.test.ts
deleted file mode 100644
index cfaa03170dac..000000000000
--- a/libs/langchain-community/src/chat_models/tests/chatgooglevertexai_web.test.ts
+++ /dev/null
@@ -1,149 +0,0 @@
-import { test, expect } from "@jest/globals";
-import {
-  BaseMessage,
-  SystemMessage,
-  HumanMessage,
-  AIMessage,
-} from "@langchain/core/messages";
-import { ChatExample, ChatGoogleVertexAI } from "../googlevertexai/web.js";
-
-test("Google messages", async () => {
-  const messages: BaseMessage[] = [
-    new HumanMessage("Human1"),
-    new AIMessage("AI1"),
-    new HumanMessage("Human2"),
-  ];
-  const model = new ChatGoogleVertexAI({
-    authOptions: {
-      credentials: "{}",
-    },
-  });
-  const instance = model.createInstance(messages);
-  expect(instance.context).toBe("");
-  expect(instance.messages[0].author).toBe("user");
-  expect(instance.messages[1].author).toBe("bot");
-});
-
-test("Google messages with a system message", async () => {
-  const messages: BaseMessage[] = [
-    new SystemMessage("System1"),
-    new HumanMessage("Human1"),
-    new AIMessage("AI1"),
-    new HumanMessage("Human2"),
-  ];
-  const model = new ChatGoogleVertexAI({
-    authOptions: {
-      credentials: "{}",
-    },
-  });
-  const instance = model.createInstance(messages);
-  expect(instance.context).toBe("System1");
-  expect(instance.messages[0].author).toBe("user");
-  expect(instance.messages[1].author).toBe("bot");
-});
-
-test("Google examples", async () => {
-  const messages: BaseMessage[] = [
-    new SystemMessage("System1"),
-    new HumanMessage("Human1"),
-    new AIMessage("AI1"),
-    new HumanMessage("Human2"),
-  ];
-  const examples: ChatExample[] = [
-    {
-      input: new HumanMessage("Example Human1"),
-      output: new AIMessage("Example AI1"),
-    },
-  ];
-  const model = new ChatGoogleVertexAI({
-    examples,
-    authOptions: {
-      credentials: "{}",
-    },
-  });
-  const instance = model.createInstance(messages);
-  // console.log(JSON.stringify(instance, null, 2));
-  expect(instance.examples?.[0].input.author).toBe("user");
-  expect(instance.examples?.[0].output.author).toBe("bot");
-});
-
-test("Google Throw an error for input messages where SystemMessage is not first", async () => {
-  const messages: BaseMessage[] = [
-    new HumanMessage("Human1"),
-    new SystemMessage("System1"),
-    new AIMessage("AI1"),
-    new HumanMessage("Human2"),
-  ];
-  const model = new ChatGoogleVertexAI({
-    authOptions: {
-      credentials: "{}",
-    },
-  });
-  expect(() => model.createInstance(messages)).toThrow();
-});
-
-test("Google Throw an error for input messages where messages the same type of message occurs twice in a row", async () => {
-  const messages: BaseMessage[] = [
-    new SystemMessage("System1"),
-    new HumanMessage("Human1"),
-    new HumanMessage("Human2"),
-    new AIMessage("AI1"),
-  ];
-  const model = new ChatGoogleVertexAI({
-    authOptions: {
-      credentials: "{}",
-    },
-  });
-  expect(() => model.createInstance(messages)).toThrow();
-});
-
-test("Google Throw an error for an even number of non-system input messages", async () => {
-  const messages: BaseMessage[] = [
-    new SystemMessage("System1"),
-    new HumanMessage("Human2"),
-    new AIMessage("AI1"),
-  ];
-  const model = new ChatGoogleVertexAI({
-    authOptions: {
-      credentials: "{}",
-    },
-  });
-  expect(() => model.createInstance(messages)).toThrow();
-});
-
-test("Google code messages", async () => {
-  const messages: BaseMessage[] = [
-    new HumanMessage("Human1"),
-    new AIMessage("AI1"),
-    new HumanMessage("Human2"),
-  ];
-  const model = new ChatGoogleVertexAI({
-    model: "codechat-bison",
-    authOptions: {
-      credentials: "{}",
-    },
-  });
-  const instance = model.createInstance(messages);
-  expect(instance.context).toBe("");
-  expect(instance.messages[0].author).toBe("user");
-  expect(instance.messages[1].author).toBe("system");
-});
-
-test("Google code messages with a system message", async () => {
-  const messages: BaseMessage[] = [
-    new SystemMessage("System1"),
-    new HumanMessage("Human1"),
-    new AIMessage("AI1"),
-    new HumanMessage("Human2"),
-  ];
-  const model = new ChatGoogleVertexAI({
-    model: "codechat-bison",
-    authOptions: {
-      credentials: "{}",
-    },
-  });
-  const instance = model.createInstance(messages);
-  expect(instance.context).toBe("System1");
-  expect(instance.messages[0].author).toBe("user");
-  expect(instance.messages[1].author).toBe("system");
-});
diff --git a/libs/langchain-community/src/document_loaders/tests/example_data/notion/notion.md b/libs/langchain-community/src/document_loaders/tests/example_data/notion/notion.md
index 0355119a4c0b..083f738293e8 100644
--- a/libs/langchain-community/src/document_loaders/tests/example_data/notion/notion.md
+++ b/libs/langchain-community/src/document_loaders/tests/example_data/notion/notion.md
@@ -32,7 +32,7 @@ The [LangChainHub](https://github.com/hwchase17/langchain-hub) is a central plac
 
 ## 📖 Documentation
 
-For full documentation of prompts, chains, agents and more, please see [here](https://js.langchain.com/v0.2/docs/introduction).
+For full documentation of prompts, chains, agents and more, please see [here](https://js.langchain.com/docs/introduction).
 
 ## 💁 Contributing
 
diff --git a/libs/langchain-community/src/document_loaders/tests/recursive_url.int.test.ts b/libs/langchain-community/src/document_loaders/tests/recursive_url.int.test.ts
index eb5f5c19ae4b..b1bf2cbbe271 100644
--- a/libs/langchain-community/src/document_loaders/tests/recursive_url.int.test.ts
+++ b/libs/langchain-community/src/document_loaders/tests/recursive_url.int.test.ts
@@ -6,7 +6,7 @@ import { RecursiveUrlLoader } from "../web/recursive_url.js";
 
 describe("RecursiveUrlLoader", () => {
   test("loading valid url", async () => {
-    const url = "https://js.langchain.com/v0.2/docs/introduction";
+    const url = "https://js.langchain.com/docs/introduction";
 
     const compiledConvert = compile({ wordwrap: 130 }); // returns (input: string) => string;
 
@@ -22,7 +22,7 @@ describe("RecursiveUrlLoader", () => {
   });
 
   test("loading single page", async () => {
-    const url = "https://js.langchain.com/v0.2/docs/introduction";
+    const url = "https://js.langchain.com/docs/introduction";
 
     const compiledConvert = compile({ wordwrap: 130 }); // returns (input: string) => string;
 
diff --git a/libs/langchain-community/src/embeddings/googlepalm.ts b/libs/langchain-community/src/embeddings/googlepalm.ts
deleted file mode 100644
index ffa474d04bb3..000000000000
--- a/libs/langchain-community/src/embeddings/googlepalm.ts
+++ /dev/null
@@ -1,123 +0,0 @@
-import { TextServiceClient } from "@google-ai/generativelanguage";
-import { GoogleAuth } from "google-auth-library";
-import { Embeddings, EmbeddingsParams } from "@langchain/core/embeddings";
-import { getEnvironmentVariable } from "@langchain/core/utils/env";
-
-/**
- * @deprecated - Deprecated by Google. Will be removed in 0.3.0
- *
- * Interface that extends EmbeddingsParams and defines additional
- * parameters specific to the GooglePaLMEmbeddings class.
- */
-export interface GooglePaLMEmbeddingsParams extends EmbeddingsParams {
-  /**
-   * Model Name to use
-   *
-   * Alias for `model`
-   *
-   * Note: The format must follow the pattern - `models/{model}`
-   */
-  modelName?: string;
-  /**
-   * Model Name to use
-   *
-   * Note: The format must follow the pattern - `models/{model}`
-   */
-  model?: string;
-  /**
-   * Google Palm API key to use
-   */
-  apiKey?: string;
-}
-
-/**
- * @deprecated - Deprecated by Google. Will be removed in 0.3.0
- *
- * Class that extends the Embeddings class and provides methods for
- * generating embeddings using the Google Palm API.
- *
- * @example
- * ```typescript
- * const model = new GooglePaLMEmbeddings({
- *   apiKey: "<YOUR API KEY>",
- *   model: "models/embedding-gecko-001",
- * });
- *
- * // Embed a single query
- * const res = await model.embedQuery(
- *   "What would be a good company name for a company that makes colorful socks?"
- * );
- * console.log({ res });
- *
- * // Embed multiple documents
- * const documentRes = await model.embedDocuments(["Hello world", "Bye bye"]);
- * console.log({ documentRes });
- * ```
- */
-export class GooglePaLMEmbeddings
-  extends Embeddings
-  implements GooglePaLMEmbeddingsParams
-{
-  apiKey?: string;
-
-  modelName = "models/embedding-gecko-001";
-
-  model = "models/embedding-gecko-001";
-
-  private client: TextServiceClient;
-
-  constructor(fields?: GooglePaLMEmbeddingsParams) {
-    super(fields ?? {});
-
-    this.modelName = fields?.model ?? fields?.modelName ?? this.model;
-    this.model = this.modelName;
-
-    this.apiKey =
-      fields?.apiKey ?? getEnvironmentVariable("GOOGLE_PALM_API_KEY");
-    if (!this.apiKey) {
-      throw new Error(
-        "Please set an API key for Google Palm 2 in the environment variable GOOGLE_PALM_API_KEY or in the `apiKey` field of the GooglePalm constructor"
-      );
-    }
-
-    this.client = new TextServiceClient({
-      authClient: new GoogleAuth().fromAPIKey(this.apiKey),
-    });
-  }
-
-  protected async _embedText(text: string): Promise<number[]> {
-    // replace newlines, which can negatively affect performance.
-    const cleanedText = text.replace(/\n/g, " ");
-    const res = await this.client.embedText({
-      model: this.model,
-      text: cleanedText,
-    });
-    return res[0].embedding?.value ?? [];
-  }
-
-  /**
-   * Method that takes a document as input and returns a promise that
-   * resolves to an embedding for the document. It calls the _embedText
-   * method with the document as the input.
-   * @param document Document for which to generate an embedding.
-   * @returns Promise that resolves to an embedding for the input document.
-   */
-  embedQuery(document: string): Promise<number[]> {
-    return this.caller.callWithOptions(
-      {},
-      this._embedText.bind(this),
-      document
-    );
-  }
-
-  /**
-   * Method that takes an array of documents as input and returns a promise
-   * that resolves to a 2D array of embeddings for each document. It calls
-   * the _embedText method for each document in the array.
-   * @param documents Array of documents for which to generate embeddings.
-   * @returns Promise that resolves to a 2D array of embeddings for each input document.
-   */
-  embedDocuments(documents: string[]): Promise<number[][]> {
-    return Promise.all(documents.map((document) => this._embedText(document)));
-  }
-}
diff --git a/libs/langchain-community/src/embeddings/googlevertexai.ts b/libs/langchain-community/src/embeddings/googlevertexai.ts
deleted file mode 100644
index f059b45aeaf8..000000000000
--- a/libs/langchain-community/src/embeddings/googlevertexai.ts
+++ /dev/null
@@ -1,150 +0,0 @@
-import { GoogleAuth, GoogleAuthOptions } from "google-auth-library";
-import { Embeddings, EmbeddingsParams } from "@langchain/core/embeddings";
-import { AsyncCallerCallOptions } from "@langchain/core/utils/async_caller";
-import { chunkArray } from "@langchain/core/utils/chunk_array";
-import {
-  GoogleVertexAIBasePrediction,
-  GoogleVertexAIBaseLLMInput,
-  GoogleVertexAILLMPredictions,
-} from "../types/googlevertexai-types.js";
-import { GoogleVertexAILLMConnection } from "../utils/googlevertexai-connection.js";
-
-/**
- * @deprecated Import and use from @langchain/google-vertexai or @langchain/google-vertexai-web
- * Defines the parameters required to initialize a
- * GoogleVertexAIEmbeddings instance. It extends EmbeddingsParams and
- * GoogleVertexAIConnectionParams.
- */
-export interface GoogleVertexAIEmbeddingsParams
-  extends EmbeddingsParams,
-    GoogleVertexAIBaseLLMInput<GoogleAuthOptions> {}
-
-/**
- * @deprecated Import and use from @langchain/google-vertexai or @langchain/google-vertexai-web
- * Defines additional options specific to the
- * GoogleVertexAILLMEmbeddingsInstance. It extends AsyncCallerCallOptions.
- */
-interface GoogleVertexAILLMEmbeddingsOptions extends AsyncCallerCallOptions {}
-
-/**
- * @deprecated Import and use from @langchain/google-vertexai or @langchain/google-vertexai-web
- * Represents an instance for generating embeddings using the Google
- * Vertex AI API. It contains the content to be embedded.
- */
-interface GoogleVertexAILLMEmbeddingsInstance {
-  content: string;
-}
-
-/**
- * @deprecated Import and use from @langchain/google-vertexai or @langchain/google-vertexai-web
- * Defines the structure of the embeddings results returned by the Google
- * Vertex AI API. It extends GoogleVertexAIBasePrediction and contains the
- * embeddings and their statistics.
- */
-interface GoogleVertexEmbeddingsResults extends GoogleVertexAIBasePrediction {
-  embeddings: {
-    statistics: {
-      token_count: number;
-      truncated: boolean;
-    };
-    values: number[];
-  };
-}
-
-/**
- * @deprecated Import and use from @langchain/google-vertexai or @langchain/google-vertexai-web
- * Enables calls to the Google Cloud's Vertex AI API to access
- * the embeddings generated by Large Language Models.
- *
- * To use, you will need to have one of the following authentication
- * methods in place:
- * - You are logged into an account permitted to the Google Cloud project
- *   using Vertex AI.
- * - You are running this on a machine using a service account permitted to
- *   the Google Cloud project using Vertex AI.
- * - The `GOOGLE_APPLICATION_CREDENTIALS` environment variable is set to the
- *   path of a credentials file for a service account permitted to the
- *   Google Cloud project using Vertex AI.
- * @example
- * ```typescript
- * const model = new GoogleVertexAIEmbeddings();
- * const res = await model.embedQuery(
- *   "What would be a good company name for a company that makes colorful socks?"
- * );
- * console.log({ res });
- * ```
- */
-export class GoogleVertexAIEmbeddings
-  extends Embeddings
-  implements GoogleVertexAIEmbeddingsParams
-{
-  model = "textembedding-gecko";
-
-  private connection: GoogleVertexAILLMConnection<
-    GoogleVertexAILLMEmbeddingsOptions,
-    GoogleVertexAILLMEmbeddingsInstance,
-    GoogleVertexEmbeddingsResults,
-    GoogleAuthOptions
-  >;
-
-  constructor(fields?: GoogleVertexAIEmbeddingsParams) {
-    super(fields ?? {});
-
-    this.model = fields?.model ?? this.model;
-
-    this.connection = new GoogleVertexAILLMConnection(
-      { ...fields, ...this },
-      this.caller,
-      new GoogleAuth({
-        scopes: "https://www.googleapis.com/auth/cloud-platform",
-        ...fields?.authOptions,
-      })
-    );
-  }
-
-  /**
-   * Takes an array of documents as input and returns a promise that
-   * resolves to a 2D array of embeddings for each document. It splits the
-   * documents into chunks and makes requests to the Google Vertex AI API to
-   * generate embeddings.
-   * @param documents An array of documents to be embedded.
-   * @returns A promise that resolves to a 2D array of embeddings for each document.
-   */
-  async embedDocuments(documents: string[]): Promise<number[][]> {
-    const instanceChunks: GoogleVertexAILLMEmbeddingsInstance[][] = chunkArray(
-      documents.map((document) => ({
-        content: document,
-      })),
-      5
-    ); // Vertex AI accepts max 5 instances per prediction
-    const parameters = {};
-    const options = {};
-    const responses = await Promise.all(
-      instanceChunks.map((instances) =>
-        this.connection.request(instances, parameters, options)
-      )
-    );
-    const result: number[][] =
-      responses
-        ?.map(
-          (response) =>
-            (
-              response?.data as GoogleVertexAILLMPredictions<GoogleVertexEmbeddingsResults>
-            )?.predictions?.map((result) => result.embeddings.values) ?? []
-        )
-        .flat() ?? [];
-    return result;
-  }
-
-  /**
-   * Takes a document as input and returns a promise that resolves to an
-   * embedding for the document. It calls the embedDocuments method with the
-   * document as the input.
-   * @param document A document to be embedded.
-   * @returns A promise that resolves to an embedding for the document.
-   */
-  async embedQuery(document: string): Promise<number[]> {
-    const data = await this.embedDocuments([document]);
-    return data[0];
-  }
-}
diff --git a/libs/langchain-community/src/embeddings/tests/googlepalm.int.test.ts b/libs/langchain-community/src/embeddings/tests/googlepalm.int.test.ts
deleted file mode 100644
index f194d547adb3..000000000000
--- a/libs/langchain-community/src/embeddings/tests/googlepalm.int.test.ts
+++ /dev/null
@@ -1,54 +0,0 @@
-import { test, expect } from "@jest/globals";
-import { GooglePaLMEmbeddings } from "../googlepalm.js";
-import { HNSWLib } from "../../vectorstores/hnswlib.js";
-
-test.skip("Test GooglePalmEmbeddings.embedQuery", async () => {
-  const embeddings = new GooglePaLMEmbeddings({
-    maxRetries: 1,
-  });
-  const res = await embeddings.embedQuery("Hello world");
-  // console.log(res);
-  expect(typeof res[0]).toBe("number");
-});
-
-test.skip("Test GooglePalmEmbeddings.embedDocuments", async () => {
-  const embeddings = new GooglePaLMEmbeddings({
-    maxRetries: 1,
-  });
-  const res = await embeddings.embedDocuments([
-    "Hello world",
-    "Bye bye",
-    "we need",
-    "at least",
-    "six documents",
-    "to test pagination",
-  ]);
-  // console.log(res);
-  expect(res).toHaveLength(6);
-  res.forEach((r) => {
-    expect(typeof r[0]).toBe("number");
-  });
-});
-
-test.skip("Test end to end with HNSWLib", async () => {
-  const vectorStore = await HNSWLib.fromTexts(
-    ["Hello world", "Bye bye", "hello nice world"],
-    [{ id: 2 }, { id: 1 }, { id: 3 }],
-    new GooglePaLMEmbeddings({
-      maxRetries: 1,
-    })
-  );
-  expect(vectorStore.index?.getCurrentCount()).toBe(3);
-
-  const resultOne = await vectorStore.similaritySearch("hello world", 1);
-  const resultOneMetadatas = resultOne.map(({ metadata }) => metadata);
-  expect(resultOneMetadatas).toEqual([{ id: 2 }]);
-
-  const resultTwo = await vectorStore.similaritySearch("hello world", 2);
-  const resultTwoMetadatas = resultTwo.map(({ metadata }) => metadata);
-  expect(resultTwoMetadatas).toEqual([{ id: 2 }, { id: 3 }]);
-
-  const resultThree = await vectorStore.similaritySearch("hello world", 3);
-  const resultThreeMetadatas = resultThree.map(({ metadata }) => metadata);
-  expect(resultThreeMetadatas).toEqual([{ id: 2 }, { id: 3 }, { id: 1 }]);
-});
diff --git a/libs/langchain-community/src/embeddings/tests/googlevertexai.int.test.ts b/libs/langchain-community/src/embeddings/tests/googlevertexai.int.test.ts
deleted file mode 100644
index 98d487b6ab57..000000000000
--- a/libs/langchain-community/src/embeddings/tests/googlevertexai.int.test.ts
+++ /dev/null
@@ -1,48 +0,0 @@
-import { test, expect } from "@jest/globals";
-import { GoogleVertexAIEmbeddings } from "../googlevertexai.js";
-import { HNSWLib } from "../../vectorstores/hnswlib.js";
-
-test("Test GoogleVertexAIEmbeddings.embedQuery", async () => {
-  const embeddings = new GoogleVertexAIEmbeddings();
-  const res = await embeddings.embedQuery("Hello world");
-  // console.log(res);
-  expect(typeof res[0]).toBe("number");
-});
-
-test("Test GoogleVertexAIEmbeddings.embedDocuments", async () => {
-  const embeddings = new GoogleVertexAIEmbeddings();
-  const res = await embeddings.embedDocuments([
-    "Hello world",
-    "Bye bye",
-    "we need",
-    "at least",
-    "six documents",
-    "to test pagination",
-  ]);
-  // console.log(res);
-  expect(res).toHaveLength(6);
-  res.forEach((r) => {
-    expect(typeof r[0]).toBe("number");
-  });
-});
-
-test("Test end to end with HNSWLib", async () => {
-  const vectorStore = await HNSWLib.fromTexts(
-    ["Hello world", "Bye bye", "hello nice world"],
-    [{ id: 2 }, { id: 1 }, { id: 3 }],
-    new GoogleVertexAIEmbeddings()
-  );
-  expect(vectorStore.index?.getCurrentCount()).toBe(3);
-
-  const resultOne = await vectorStore.similaritySearch("hello world", 1);
-  const resultOneMetadatas = resultOne.map(({ metadata }) => metadata);
-  expect(resultOneMetadatas).toEqual([{ id: 2 }]);
-
-  const resultTwo = await vectorStore.similaritySearch("hello world", 2);
-  const resultTwoMetadatas = resultTwo.map(({ metadata }) => metadata);
-  expect(resultTwoMetadatas).toEqual([{ id: 2 }, { id: 3 }]);
-
-  const resultThree = await vectorStore.similaritySearch("hello world", 3);
-  const resultThreeMetadatas = resultThree.map(({ metadata }) => metadata);
-  expect(resultThreeMetadatas).toEqual([{ id: 2 }, { id: 3 }, { id: 1 }]);
-});
diff --git a/libs/langchain-community/src/chat_models/googlepalm.ts b/libs/langchain-community/src/experimental/hubs/makersuite/chat_models.ts
similarity index 100%
rename from libs/langchain-community/src/chat_models/googlepalm.ts
rename to libs/langchain-community/src/experimental/hubs/makersuite/chat_models.ts
diff --git a/libs/langchain-community/src/experimental/hubs/makersuite/googlemakersuitehub.ts b/libs/langchain-community/src/experimental/hubs/makersuite/googlemakersuitehub.ts
index a5ad51418a8b..fbd49accb413 100644
--- a/libs/langchain-community/src/experimental/hubs/makersuite/googlemakersuitehub.ts
+++ b/libs/langchain-community/src/experimental/hubs/makersuite/googlemakersuitehub.ts
@@ -9,8 +9,8 @@ import {
   AsyncCallerCallOptions,
 } from "@langchain/core/utils/async_caller";
 
-import { ChatGooglePaLM } from "../../../chat_models/googlepalm.js";
-import { GooglePaLM } from "../../../llms/googlepalm.js";
+import { ChatGooglePaLM } from "./chat_models.js";
+import { GooglePaLM } from "./llms.js";
 import {
   GoogleAbstractedClientOpsMethod,
   GoogleResponse,
diff --git a/libs/langchain-community/src/llms/googlepalm.ts b/libs/langchain-community/src/experimental/hubs/makersuite/llms.ts
similarity index 100%
rename from libs/langchain-community/src/llms/googlepalm.ts
rename to libs/langchain-community/src/experimental/hubs/makersuite/llms.ts
diff --git a/libs/langchain-community/src/experimental/hubs/makersuite/tests/googlemakersuitehub.int.test.ts b/libs/langchain-community/src/experimental/hubs/makersuite/tests/googlemakersuitehub.int.test.ts
index 59a966b2bc85..f9989b624c0e 100644
--- a/libs/langchain-community/src/experimental/hubs/makersuite/tests/googlemakersuitehub.int.test.ts
+++ b/libs/langchain-community/src/experimental/hubs/makersuite/tests/googlemakersuitehub.int.test.ts
@@ -7,8 +7,8 @@ import * as path from "path";
 import { describe, test } from "@jest/globals";
 import { HumanMessage } from "@langchain/core/messages";
 import { AsyncCaller } from "@langchain/core/utils/async_caller";
-import { ChatGooglePaLM } from "../../../../chat_models/googlepalm.js";
-import { GooglePaLM } from "../../../../llms/googlepalm.js";
+import { ChatGooglePaLM } from "../chat_models.js";
+import { GooglePaLM } from "../llms.js";
 import {
   DriveFileReadConnection,
   MakerSuiteHub,
diff --git a/libs/langchain-community/src/experimental/hubs/makersuite/tests/googlemakersuitehub.test.ts b/libs/langchain-community/src/experimental/hubs/makersuite/tests/googlemakersuitehub.test.ts
index 3557d337a527..91f5ad554dd2 100644
--- a/libs/langchain-community/src/experimental/hubs/makersuite/tests/googlemakersuitehub.test.ts
+++ b/libs/langchain-community/src/experimental/hubs/makersuite/tests/googlemakersuitehub.test.ts
@@ -3,7 +3,7 @@ import { fileURLToPath } from "node:url";
 import * as path from "path";
 
 import { describe, expect, test } from "@jest/globals";
-import { ChatGooglePaLM } from "../../../../chat_models/googlepalm.js";
+import { ChatGooglePaLM } from "../chat_models.js";
 import { MakerSuiteHub, MakerSuitePrompt } from "../googlemakersuitehub.js";
 
 describe("Google Maker Suite Hub", () => {
diff --git a/langchain/src/experimental/tools/pyinterpreter.ts b/libs/langchain-community/src/experimental/tools/pyinterpreter.ts
similarity index 98%
rename from langchain/src/experimental/tools/pyinterpreter.ts
rename to libs/langchain-community/src/experimental/tools/pyinterpreter.ts
index 9e88d369f3ed..01d2add70a8b 100644
--- a/langchain/src/experimental/tools/pyinterpreter.ts
+++ b/libs/langchain-community/src/experimental/tools/pyinterpreter.ts
@@ -1,3 +1,4 @@
+// eslint-disable-next-line import/no-extraneous-dependencies
 import { loadPyodide, type PyodideInterface } from "pyodide";
 import { Tool, ToolParams } from "@langchain/core/tools";
 
diff --git a/langchain/src/experimental/tools/tests/pyinterpreter.int.test.ts b/libs/langchain-community/src/experimental/tools/tests/pyinterpreter.int.test.ts
similarity index 100%
rename from langchain/src/experimental/tools/tests/pyinterpreter.int.test.ts
rename to libs/langchain-community/src/experimental/tools/tests/pyinterpreter.int.test.ts
diff --git a/libs/langchain-community/src/llms/googlevertexai/common.ts b/libs/langchain-community/src/llms/googlevertexai/common.ts
deleted file mode 100644
index add11058e56a..000000000000
--- a/libs/langchain-community/src/llms/googlevertexai/common.ts
+++ /dev/null
@@ -1,236 +0,0 @@
-import { BaseLLM } from "@langchain/core/language_models/llms";
-import {
-  Generation,
-  GenerationChunk,
-  LLMResult,
-} from "@langchain/core/outputs";
-import type { BaseLanguageModelCallOptions } from "@langchain/core/language_models/base";
-import { CallbackManagerForLLMRun } from "@langchain/core/callbacks/manager";
-
-import {
-  GoogleVertexAILLMConnection,
-  GoogleVertexAIStream,
-  GoogleVertexAILLMResponse,
-} from "../../utils/googlevertexai-connection.js";
-import {
-  GoogleVertexAIBaseLLMInput,
-  GoogleVertexAIBasePrediction,
-  GoogleVertexAILLMPredictions,
-  GoogleVertexAIModelParams,
-} from "../../types/googlevertexai-types.js";
-
-/**
- * Interface representing the instance of text input to the Google Vertex
- * AI model.
- */
-interface GoogleVertexAILLMTextInstance {
-  content: string;
-}
-
-/**
- * Interface representing the instance of code input to the Google Vertex
- * AI model.
- */
-interface GoogleVertexAILLMCodeInstance {
-  prefix: string;
-}
-
-/**
- * Type representing an instance of either text or code input to the
- * Google Vertex AI model.
- */
-type GoogleVertexAILLMInstance =
-  | GoogleVertexAILLMTextInstance
-  | GoogleVertexAILLMCodeInstance;
-
-/**
- * Models the data returned from the API call
- */
-interface TextPrediction extends GoogleVertexAIBasePrediction {
-  content: string;
-}
-
-/**
- * Base class for Google Vertex AI LLMs.
- * Implemented subclasses must provide a GoogleVertexAILLMConnection
- * with an appropriate auth client.
- */
-export class BaseGoogleVertexAI<AuthOptions>
-  extends BaseLLM
-  implements GoogleVertexAIBaseLLMInput<AuthOptions>
-{
-  lc_serializable = true;
-
-  model = "text-bison";
-
-  temperature = 0.7;
-
-  maxOutputTokens = 1024;
-
-  topP = 0.8;
-
-  topK = 40;
-
-  protected connection: GoogleVertexAILLMConnection<
-    BaseLanguageModelCallOptions,
-    GoogleVertexAILLMInstance,
-    TextPrediction,
-    AuthOptions
-  >;
-
-  protected streamedConnection: GoogleVertexAILLMConnection<
-    BaseLanguageModelCallOptions,
-    GoogleVertexAILLMInstance,
-    TextPrediction,
-    AuthOptions
-  >;
-
-  get lc_aliases(): Record<string, string> {
-    return {
-      model: "model_name",
-    };
-  }
-
-  constructor(fields?: GoogleVertexAIBaseLLMInput<AuthOptions>) {
-    super(fields ?? {});
-
-    this.model = fields?.model ?? this.model;
-
-    // Change the defaults for code models
-    if (this.model.startsWith("code-gecko")) {
-      this.maxOutputTokens = 64;
-    }
-    if (this.model.startsWith("code-")) {
-      this.temperature = 0.2;
-    }
-
-    this.temperature = fields?.temperature ?? this.temperature;
-    this.maxOutputTokens = fields?.maxOutputTokens ?? this.maxOutputTokens;
-    this.topP = fields?.topP ?? this.topP;
-    this.topK = fields?.topK ?? this.topK;
-  }
-
-  _llmType(): string {
-    return "vertexai";
-  }
-
-  async *_streamResponseChunks(
-    _input: string,
-    _options: this["ParsedCallOptions"],
-    _runManager?: CallbackManagerForLLMRun
-  ): AsyncGenerator<GenerationChunk> {
-    // Make the call as a streaming request
-    const instance = this.formatInstance(_input);
-    const parameters = this.formatParameters();
-    const result = await this.streamedConnection.request(
-      [instance],
-      parameters,
-      _options
-    );
-
-    // Get the streaming parser of the response
-    const stream = result.data as GoogleVertexAIStream;
-
-    // Loop until the end of the stream
-    // During the loop, yield each time we get a chunk from the streaming parser
-    // that is either available or added to the queue
-    while (!stream.streamDone) {
-      const output = await stream.nextChunk();
-      const chunk =
-        output !== null
-          ? new GenerationChunk(
-              this.extractGenerationFromPrediction(output.outputs[0])
-            )
-          : new GenerationChunk({
-              text: "",
-              generationInfo: { finishReason: "stop" },
-            });
-      yield chunk;
-    }
-  }
-
-  async _generate(
-    prompts: string[],
-    options: this["ParsedCallOptions"]
-  ): Promise<LLMResult> {
-    const generations: Generation[][] = await Promise.all(
-      prompts.map((prompt) => this._generatePrompt(prompt, options))
-    );
-    return { generations };
-  }
-
-  async _generatePrompt(
-    prompt: string,
-    options: this["ParsedCallOptions"]
-  ): Promise<Generation[]> {
-    const instance = this.formatInstance(prompt);
-    const parameters = this.formatParameters();
-    const result = await this.connection.request(
-      [instance],
-      parameters,
-      options
-    );
-    const prediction = this.extractPredictionFromResponse(result);
-    return [this.extractGenerationFromPrediction(prediction)];
-  }
-
-  /**
-   * Formats the input instance as a text instance for the Google Vertex AI
-   * model.
-   * @param prompt Prompt to be formatted as a text instance.
-   * @returns A GoogleVertexAILLMInstance object representing the formatted text instance.
-   */
-  formatInstanceText(prompt: string): GoogleVertexAILLMInstance {
-    return { content: prompt };
-  }
-
-  /**
-   * Formats the input instance as a code instance for the Google Vertex AI
-   * model.
-   * @param prompt Prompt to be formatted as a code instance.
-   * @returns A GoogleVertexAILLMInstance object representing the formatted code instance.
-   */
-  formatInstanceCode(prompt: string): GoogleVertexAILLMInstance {
-    return { prefix: prompt };
-  }
-
-  /**
-   * Formats the input instance for the Google Vertex AI model based on the
-   * model type (text or code).
-   * @param prompt Prompt to be formatted as an instance.
-   * @returns A GoogleVertexAILLMInstance object representing the formatted instance.
-   */
-  formatInstance(prompt: string): GoogleVertexAILLMInstance {
-    return this.model.startsWith("code-")
-      ? this.formatInstanceCode(prompt)
-      : this.formatInstanceText(prompt);
-  }
-
-  formatParameters(): GoogleVertexAIModelParams {
-    return {
-      temperature: this.temperature,
-      topK: this.topK,
-      topP: this.topP,
-      maxOutputTokens: this.maxOutputTokens,
-    };
-  }
-
-  /**
-   * Extracts the prediction from the API response.
-   * @param result The API response from which to extract the prediction.
-   * @returns A TextPrediction object representing the extracted prediction.
-   */
-  extractPredictionFromResponse(
-    result: GoogleVertexAILLMResponse<TextPrediction>
-  ): TextPrediction {
-    return (result?.data as GoogleVertexAILLMPredictions<TextPrediction>)
-      ?.predictions[0];
-  }
-
-  extractGenerationFromPrediction(prediction: TextPrediction): Generation {
-    return {
-      text: prediction.content,
-      generationInfo: prediction,
-    };
-  }
-}
diff --git a/libs/langchain-community/src/llms/googlevertexai/index.ts b/libs/langchain-community/src/llms/googlevertexai/index.ts
deleted file mode 100644
index 9406c3e01013..000000000000
--- a/libs/langchain-community/src/llms/googlevertexai/index.ts
+++ /dev/null
@@ -1,66 +0,0 @@
-import { GoogleAuthOptions } from "google-auth-library";
-import { GoogleVertexAILLMConnection } from "../../utils/googlevertexai-connection.js";
-import { GoogleVertexAIBaseLLMInput } from "../../types/googlevertexai-types.js";
-import { BaseGoogleVertexAI } from "./common.js";
-import { GAuthClient } from "../../utils/googlevertexai-gauth.js";
-
-/**
- * Interface representing the input to the Google Vertex AI model.
- */
-export interface GoogleVertexAITextInput
-  extends GoogleVertexAIBaseLLMInput<GoogleAuthOptions> {}
-
-/**
- * Enables calls to the Google Cloud's Vertex AI API to access
- * Large Language Models.
- *
- * To use, you will need to have one of the following authentication
- * methods in place:
- * - You are logged into an account permitted to the Google Cloud project
- *   using Vertex AI.
- * - You are running this on a machine using a service account permitted to
- *   the Google Cloud project using Vertex AI.
- * - The `GOOGLE_APPLICATION_CREDENTIALS` environment variable is set to the
- *   path of a credentials file for a service account permitted to the
- *   Google Cloud project using Vertex AI.
- * @example
- * ```typescript
- * const model = new GoogleVertexAI({
- *   temperature: 0.7,
- * });
- * const stream = await model.stream(
- *   "What would be a good company name for a company that makes colorful socks?",
- * );
- * for await (const chunk of stream) {
- *   console.log(chunk);
- * }
- * ```
- */
-export class GoogleVertexAI extends BaseGoogleVertexAI<GoogleAuthOptions> {
-  static lc_name() {
-    return "VertexAI";
-  }
-
-  constructor(fields?: GoogleVertexAITextInput) {
-    super(fields);
-
-    const client = new GAuthClient({
-      scopes: "https://www.googleapis.com/auth/cloud-platform",
-      ...fields?.authOptions,
-    });
-
-    this.connection = new GoogleVertexAILLMConnection(
-      { ...fields, ...this },
-      this.caller,
-      client,
-      false
-    );
-
-    this.streamedConnection = new GoogleVertexAILLMConnection(
-      { ...fields, ...this },
-      this.caller,
-      client,
-      true
-    );
-  }
-}
diff --git a/libs/langchain-community/src/llms/googlevertexai/web.ts b/libs/langchain-community/src/llms/googlevertexai/web.ts
deleted file mode 100644
index 9ceb3cbf2285..000000000000
--- a/libs/langchain-community/src/llms/googlevertexai/web.ts
+++ /dev/null
@@ -1,66 +0,0 @@
-import {
-  WebGoogleAuth,
-  WebGoogleAuthOptions,
-} from "../../utils/googlevertexai-webauth.js";
-import { GoogleVertexAILLMConnection } from "../../utils/googlevertexai-connection.js";
-import { GoogleVertexAIBaseLLMInput } from "../../types/googlevertexai-types.js";
-import { BaseGoogleVertexAI } from "./common.js";
-
-/**
- * Interface representing the input to the Google Vertex AI model.
- */
-export interface GoogleVertexAITextInput
-  extends GoogleVertexAIBaseLLMInput<WebGoogleAuthOptions> {}
-
-/**
- * Enables calls to the Google Cloud's Vertex AI API to access
- * Large Language Models.
- *
- * This entrypoint and class are intended to be used in web environments like Edge
- * functions where you do not have access to the file system. It supports passing
- * service account credentials directly as a "GOOGLE_VERTEX_AI_WEB_CREDENTIALS"
- * environment variable or directly as "authOptions.credentials".
- * @example
- * ```typescript
- * const model = new GoogleVertexAI({
- *   temperature: 0.7,
- * });
- * const stream = await model.stream(
- *   "What would be a good company name for a company that makes colorful socks?",
- * );
- * for await (const chunk of stream) {
- *   console.log(chunk);
- * }
- * ```
- */
-export class GoogleVertexAI extends BaseGoogleVertexAI<WebGoogleAuthOptions> {
-  static lc_name() {
-    return "VertexAI";
-  }
-
-  get lc_secrets(): { [key: string]: string } {
-    return {
-      "authOptions.credentials": "GOOGLE_VERTEX_AI_WEB_CREDENTIALS",
-    };
-  }
-
-  constructor(fields?: GoogleVertexAITextInput) {
-    super(fields);
-
-    const client = new WebGoogleAuth(fields?.authOptions);
-
-    this.connection = new GoogleVertexAILLMConnection(
-      { ...fields, ...this },
-      this.caller,
-      client,
-      false
-    );
-
-    this.streamedConnection = new GoogleVertexAILLMConnection(
-      { ...fields, ...this },
-      this.caller,
-      client,
-      true
-    );
-  }
-}
diff --git a/libs/langchain-community/src/llms/tests/googlepalm.int.test.ts b/libs/langchain-community/src/llms/tests/googlepalm.int.test.ts
deleted file mode 100644
index ed8dd828056f..000000000000
--- a/libs/langchain-community/src/llms/tests/googlepalm.int.test.ts
+++ /dev/null
@@ -1,32 +0,0 @@
-import { test } from "@jest/globals";
-import { GooglePaLM } from "../googlepalm.js";
-
-test.skip("Test Google Palm", async () => {
-  const model = new GooglePaLM();
-  const res = await model.invoke("what is 1 + 1?");
-  // console.log({ res });
-  expect(res).toBeTruthy();
-});
-
-test.skip("Test Google Palm generation", async () => {
-  const model = new GooglePaLM();
-  const res = await model.generate(["what is 1 + 1?"]);
-  // console.log(JSON.stringify(res, null, 2));
-  expect(res).toBeTruthy();
-});
-
-test.skip("Test Google Palm generation", async () => {
-  const model = new GooglePaLM();
-  const res = await model.generate(["Print hello world."]);
-  // console.log(JSON.stringify(res, null, 2));
-  expect(res).toBeTruthy();
-});
-
-test.skip("Test Google Palm generation", async () => {
-  const model = new GooglePaLM();
-  const res = await model.generate([
-    `Translate "I love programming" into Korean.`,
-  ]);
-  // console.log(JSON.stringify(res, null, 2));
-  expect(res).toBeTruthy();
-});
diff --git a/libs/langchain-community/src/llms/tests/googlepalm.test.ts b/libs/langchain-community/src/llms/tests/googlepalm.test.ts
deleted file mode 100644
index ac28f763b40a..000000000000
--- a/libs/langchain-community/src/llms/tests/googlepalm.test.ts
+++ /dev/null
@@ -1,75 +0,0 @@
-import { test } from "@jest/globals";
-import { GooglePaLM } from "../googlepalm.js";
-
-test("Google Palm - `temperature` must be in range [0.0,1.0]", async () => {
-  expect(
-    () =>
-      new GooglePaLM({
-        temperature: -1.0,
-      })
-  ).toThrow();
-  expect(
-    () =>
-      new GooglePaLM({
-        temperature: 1.1,
-      })
-  ).toThrow();
-});
-
-test("Google Palm - `maxOutputTokens` must be positive", async () => {
-  expect(
-    () =>
-      new GooglePaLM({
-        maxOutputTokens: -1,
-      })
-  ).toThrow();
-});
-
-test("Google Palm - `topP` must be positive", async () => {
-  expect(
-    () =>
-      new GooglePaLM({
-        topP: -1,
-      })
-  ).toThrow();
-});
-
-test("Google Palm - `topP` must be in the range [0,1]", async () => {
-  expect(
-    () =>
-      new GooglePaLM({
-        topP: 3,
-      })
-  ).toThrow();
-});
-
-test("Google Palm - `topK` must be positive", async () => {
-  expect(
-    () =>
-      new GooglePaLM({
-        topK: -1,
-      })
-  ).toThrow();
-});
-
-test("Google Palm - `safetySettings` category array must be unique", async () => {
-  expect(
-    () =>
-      new GooglePaLM({
-        safetySettings: [
-          {
-            category: "HARM_CATEGORY_DANGEROUS",
-            threshold: 1,
-          },
-          {
-            category: "HARM_CATEGORY_DANGEROUS",
-            threshold: 2,
-          },
-          {
-            category: "HARM_CATEGORY_DEROGATORY",
-            threshold: 1,
-          },
-        ],
-      })
-  ).toThrow();
-});
diff --git a/libs/langchain-community/src/llms/tests/googlevertexai.int.test.ts b/libs/langchain-community/src/llms/tests/googlevertexai.int.test.ts
deleted file mode 100644
index e9c02e415ead..000000000000
--- a/libs/langchain-community/src/llms/tests/googlevertexai.int.test.ts
+++ /dev/null
@@ -1,92 +0,0 @@
-import { expect, test } from "@jest/globals";
-import { GoogleVertexAI } from "../googlevertexai/index.js";
-
-describe("Vertex AI", () => {
-  test("Test Google Vertex", async () => {
-    const model = new GoogleVertexAI({ maxOutputTokens: 50 });
-    // @eslint-disable-next-line/@typescript-eslint/ban-ts-comment
-    // @ts-expect-error unused var
-    const res = await model.invoke("1 + 1 = ");
-    // console.log({ res });
-  });
-
-  test("Test Google Vertex generation", async () => {
-    const model = new GoogleVertexAI({ maxOutputTokens: 50 });
-    // @eslint-disable-next-line/@typescript-eslint/ban-ts-comment
-    // @ts-expect-error unused var
-    const res = await model.generate(["1 + 1 = "]);
-    // console.log(JSON.stringify(res, null, 2));
-  });
-
-  test("Test Google Vertex generation", async () => {
-    const model = new GoogleVertexAI({ maxOutputTokens: 50 });
-    // @eslint-disable-next-line/@typescript-eslint/ban-ts-comment
-    // @ts-expect-error unused var
-    const res = await model.generate(["Print hello world."]);
-    // console.log(JSON.stringify(res, null, 2));
-  });
-
-  test("Test Google Vertex generation", async () => {
-    const model = new GoogleVertexAI({ maxOutputTokens: 50 });
-    // @eslint-disable-next-line/@typescript-eslint/ban-ts-comment
-    // @ts-expect-error unused var
-    const res = await model.generate([
-      `Translate "I love programming" into Korean.`,
-    ]);
-    // console.log(JSON.stringify(res, null, 2));
-  });
-
-  test("Test Google Vertex Codey gecko model", async () => {
-    const model = new GoogleVertexAI({ model: "code-gecko" });
-    expect(model.model).toEqual("code-gecko");
-    expect(model.temperature).toEqual(0.2);
-    expect(model.maxOutputTokens).toEqual(64);
-
-    // @eslint-disable-next-line/@typescript-eslint/ban-ts-comment
-    // @ts-expect-error unused var
-    const res = await model.invoke("for( let co = 0");
-    // console.log(res);
-  });
-
-  test("Test Google Vertex Codey bison model", async () => {
-    const model = new GoogleVertexAI({
-      model: "code-bison",
-      maxOutputTokens: 2048,
-    });
-    expect(model.model).toEqual("code-bison");
-
-    // @eslint-disable-next-line/@typescript-eslint/ban-ts-comment
-    // @ts-expect-error unused var
-    const res = await model.invoke("Count to 10 in JavaScript.");
-    // console.log(res);
-  });
-
-  test("Test Google Vertex bison-32k model", async () => {
-    const model = new GoogleVertexAI({
-      model: "text-bison-32k",
-      maxOutputTokens: 50,
-    });
-    // @eslint-disable-next-line/@typescript-eslint/ban-ts-comment
-    // @ts-expect-error unused var
-    const res = await model.invoke("1 + 1 = ");
-    // console.log({ res });
-  });
-
-  test("streaming text", async () => {
-    const model = new GoogleVertexAI({
-      model: "text-bison",
-      maxOutputTokens: 2048,
-    });
-
-    const stream = await model.stream(
-      "What is the answer to life, the universe, and everything. Be Verbose."
-    );
-    const chunks = [];
-    for await (const chunk of stream) {
-      chunks.push(chunk);
-      // console.log("chunk", chunk);
-    }
-    expect(chunks.length).toBeGreaterThan(1);
-    expect(chunks[chunks.length - 1]).toEqual("");
-  });
-});
diff --git a/libs/langchain-community/src/llms/tests/googlevertexai_web.int.test.ts b/libs/langchain-community/src/llms/tests/googlevertexai_web.int.test.ts
deleted file mode 100644
index 6247cf05e2a4..000000000000
--- a/libs/langchain-community/src/llms/tests/googlevertexai_web.int.test.ts
+++ /dev/null
@@ -1,91 +0,0 @@
-import { expect, test } from "@jest/globals";
-import { GoogleVertexAI } from "../googlevertexai/web.js";
-
-describe("Web Vertex AI", () => {
-  test("Test Google Vertex", async () => {
-    const model = new GoogleVertexAI({ maxOutputTokens: 50 });
-    // @eslint-disable-next-line/@typescript-eslint/ban-ts-comment
-    // @ts-expect-error unused var
-    const res = await model.invoke("1 + 1 = ");
-    // console.log({ res });
-  });
-
-  test("Test Google Vertex generation", async () => {
-    const model = new GoogleVertexAI({ maxOutputTokens: 50 });
-    // @eslint-disable-next-line/@typescript-eslint/ban-ts-comment
-    // @ts-expect-error unused var
-    const res = await model.generate(["1 + 1 = "]);
-    // console.log(JSON.stringify(res, null, 2));
-  });
-
-  test("Test Google Vertex generation", async () => {
-    const model = new GoogleVertexAI({ maxOutputTokens: 50 });
-    // @eslint-disable-next-line/@typescript-eslint/ban-ts-comment
-    // @ts-expect-error unused var
-    const res = await model.generate(["Print hello world."]);
-    // console.log(JSON.stringify(res, null, 2));
-  });
-
-  test("Test Google Vertex generation", async () => {
-    const model = new GoogleVertexAI({ maxOutputTokens: 50 });
-    // @eslint-disable-next-line/@typescript-eslint/ban-ts-comment
-    // @ts-expect-error unused var
-    const res = await model.generate([
-      `Translate "I love programming" into Korean.`,
-    ]);
-    // console.log(JSON.stringify(res, null, 2));
-  });
-
-  test("Test Google Vertex Codey gecko model", async () => {
-    const model = new GoogleVertexAI({ model: "code-gecko" });
-    expect(model.model).toEqual("code-gecko");
-    expect(model.temperature).toEqual(0.2);
-    expect(model.maxOutputTokens).toEqual(64);
-
-    // @eslint-disable-next-line/@typescript-eslint/ban-ts-comment
-    // @ts-expect-error unused var
-    const res = await model.invoke("for( let co = 0");
-    // console.log(res);
-  });
-
-  test("Test Google Vertex Codey bison model", async () => {
-    const model = new GoogleVertexAI({
-      model: "code-bison",
-      maxOutputTokens: 2048,
-    });
-    expect(model.model).toEqual("code-bison");
-
-    // @eslint-disable-next-line/@typescript-eslint/ban-ts-comment
-    // @ts-expect-error unused var
-    const res = await model.invoke("Count to 10 in JavaScript.");
-    // console.log(res);
-  });
-
-  test("Test Google Vertex bison-32k model", async () => {
-    const model = new GoogleVertexAI({
-      model: "text-bison-32k",
-      maxOutputTokens: 50,
-    });
-    // @eslint-disable-next-line/@typescript-eslint/ban-ts-comment
-    // @ts-expect-error unused var
-    const res = await model.invoke("1 + 1 = ");
-    // console.log({ res });
-  });
-
-  test("Test Google Vertex stream returns one chunk", async () => {
-    const model = new GoogleVertexAI({
-      model: "text-bison",
-      maxOutputTokens: 2048,
-    });
-
-    const stream = await model.stream(
-      "What is the answer to life, the universe, and everything?"
-    );
-    const chunks = [];
-    for await (const chunk of stream) {
-      chunks.push(chunk);
-      // console.log(chunk);
-    }
-    expect(chunks.length).toBeGreaterThan(1);
-  });
-});
diff --git a/libs/langchain-community/src/load/import_constants.ts b/libs/langchain-community/src/load/import_constants.ts
index 8b585f599afe..238b9cc9b707 100644
--- a/libs/langchain-community/src/load/import_constants.ts
+++ b/libs/langchain-community/src/load/import_constants.ts
@@ -11,8 +11,6 @@ export const optionalImportEntrypoints: string[] = [
   "langchain_community/embeddings/bedrock",
   "langchain_community/embeddings/cloudflare_workersai",
   "langchain_community/embeddings/cohere",
-  "langchain_community/embeddings/googlepalm",
-  "langchain_community/embeddings/googlevertexai",
   "langchain_community/embeddings/gradient_ai",
   "langchain_community/embeddings/hf",
   "langchain_community/embeddings/hf_transformers",
@@ -27,9 +25,6 @@ export const optionalImportEntrypoints: string[] = [
   "langchain_community/llms/bedrock",
   "langchain_community/llms/bedrock/web",
   "langchain_community/llms/cohere",
-  "langchain_community/llms/googlepalm",
-  "langchain_community/llms/googlevertexai",
-  "langchain_community/llms/googlevertexai/web",
   "langchain_community/llms/gradient_ai",
   "langchain_community/llms/hf",
   "langchain_community/llms/llama_cpp",
@@ -86,9 +81,6 @@ export const optionalImportEntrypoints: string[] = [
   "langchain_community/chat_models/arcjet",
   "langchain_community/chat_models/bedrock",
   "langchain_community/chat_models/bedrock/web",
-  "langchain_community/chat_models/googlevertexai",
-  "langchain_community/chat_models/googlevertexai/web",
-  "langchain_community/chat_models/googlepalm",
   "langchain_community/chat_models/iflytek_xinghuo",
   "langchain_community/chat_models/iflytek_xinghuo/web",
   "langchain_community/chat_models/llama_cpp",
@@ -184,6 +176,7 @@ export const optionalImportEntrypoints: string[] = [
   "langchain_community/utils/cassandra",
   "langchain_community/experimental/multimodal_embeddings/googlevertexai",
   "langchain_community/experimental/hubs/makersuite/googlemakersuitehub",
+  "langchain_community/experimental/tools/pyinterpreter",
   "langchain_community/chains/graph_qa/cypher",
   "langchain_community/langgraph/checkpointers/vercel_kv",
 ];
diff --git a/libs/langchain-community/src/load/import_type.ts b/libs/langchain-community/src/load/import_type.ts
index bf4f947d36cf..00f057aaa6a3 100644
--- a/libs/langchain-community/src/load/import_type.ts
+++ b/libs/langchain-community/src/load/import_type.ts
@@ -26,7 +26,6 @@ export interface SecretMap {
   GOOGLE_PALM_API_KEY?: string;
   GOOGLE_PLACES_API_KEY?: string;
   GOOGLE_ROUTES_API_KEY?: string;
-  GOOGLE_VERTEX_AI_WEB_CREDENTIALS?: string;
   GRADIENT_ACCESS_TOKEN?: string;
   GRADIENT_WORKSPACE_ID?: string;
   HUGGINGFACEHUB_API_KEY?: string;
diff --git a/libs/langchain-community/src/utils/googlevertexai-gauth.ts b/libs/langchain-community/src/utils/googlevertexai-gauth.ts
deleted file mode 100644
index e952391ef398..000000000000
--- a/libs/langchain-community/src/utils/googlevertexai-gauth.ts
+++ /dev/null
@@ -1,38 +0,0 @@
-import { Readable } from "stream";
-import { GoogleAuth, GoogleAuthOptions } from "google-auth-library";
-import {
-  GoogleAbstractedClient,
-  GoogleAbstractedClientOps,
-} from "../types/googlevertexai-types.js";
-import { GoogleVertexAIStream } from "./googlevertexai-connection.js";
-
-class GoogleVertexAINodeStream extends GoogleVertexAIStream {
-  constructor(data: Readable) {
-    super();
-
-    data.on("data", (data) => this.appendBuffer(data.toString()));
-    data.on("end", () => this.closeBuffer());
-  }
-}
-
-export class GAuthClient implements GoogleAbstractedClient {
-  gauth: GoogleAuth;
-
-  constructor(options?: GoogleAuthOptions) {
-    this.gauth = new GoogleAuth(options);
-  }
-
-  async getProjectId(): Promise<string> {
-    return this.gauth.getProjectId();
-  }
-
-  async request(opts: GoogleAbstractedClientOps): Promise<unknown> {
-    const ret = await this.gauth.request(opts);
-    return opts.responseType !== "stream"
-      ? ret
-      : {
-          ...ret,
-          data: new GoogleVertexAINodeStream(ret.data),
-        };
-  }
-}
diff --git a/libs/langchain-community/src/utils/googlevertexai-webauth.ts b/libs/langchain-community/src/utils/googlevertexai-webauth.ts
deleted file mode 100644
index e5a5f39ff11a..000000000000
--- a/libs/langchain-community/src/utils/googlevertexai-webauth.ts
+++ /dev/null
@@ -1,119 +0,0 @@
-import {
-  getAccessToken,
-  getCredentials,
-  Credentials,
-} from "web-auth-library/google";
-import { getEnvironmentVariable } from "@langchain/core/utils/env";
-import type {
-  GoogleAbstractedClient,
-  GoogleAbstractedClientOps,
-} from "../types/googlevertexai-types.js";
-import { GoogleVertexAIStream } from "./googlevertexai-connection.js";
-
-class GoogleVertexAIResponseStream extends GoogleVertexAIStream {
-  decoder: TextDecoder;
-
-  constructor(body: ReadableStream | null) {
-    super();
-    this.decoder = new TextDecoder();
-    if (body) {
-      void this.run(body);
-    } else {
-      console.error("Unexpected empty body while streaming");
-    }
-  }
-
-  async run(body: ReadableStream) {
-    const reader = body.getReader();
-    let isDone = false;
-    while (!isDone) {
-      const { value, done } = await reader.read();
-      if (!done) {
-        const svalue = this.decoder.decode(value);
-        this.appendBuffer(svalue);
-      } else {
-        isDone = done;
-        this.closeBuffer();
-      }
-    }
-  }
-}
-
-export type WebGoogleAuthOptions = {
-  credentials: string | Credentials;
-  scope?: string | string[];
-  accessToken?: string;
-};
-
-export class WebGoogleAuth implements GoogleAbstractedClient {
-  options: WebGoogleAuthOptions;
-
-  constructor(options?: WebGoogleAuthOptions) {
-    const accessToken = options?.accessToken;
-
-    const credentials =
-      options?.credentials ??
-      getEnvironmentVariable("GOOGLE_VERTEX_AI_WEB_CREDENTIALS");
-    if (credentials === undefined)
-      throw new Error(
-        `Credentials not found. Please set the GOOGLE_VERTEX_AI_WEB_CREDENTIALS environment variable or pass credentials into "authOptions.credentials".`
-      );
-
-    const scope =
-      options?.scope ?? "https://www.googleapis.com/auth/cloud-platform";
-
-    this.options = { ...options, accessToken, credentials, scope };
-  }
-
-  async getProjectId() {
-    const credentials = getCredentials(this.options.credentials);
-    return credentials.project_id;
-  }
-
-  async request(opts: GoogleAbstractedClientOps) {
-    let { accessToken } = this.options;
-
-    if (accessToken === undefined) {
-      accessToken = await getAccessToken(this.options);
-    }
-
-    if (opts.url == null) throw new Error("Missing URL");
-    const fetchOptions: {
-      method?: string;
-      headers: Record<string, string>;
-      body?: string;
-    } = {
-      method: opts.method,
-      headers: {
-        Authorization: `Bearer ${accessToken}`,
-        "Content-Type": "application/json",
-      },
-    };
-    if (opts.data !== undefined) {
-      fetchOptions.body = JSON.stringify(opts.data);
-    }
-
-    const res = await fetch(opts.url, fetchOptions);
-
-    if (!res.ok) {
-      const error = new Error(
-        `Could not get access token for Vertex AI with status code: ${res.status}`
-      );
-      // eslint-disable-next-line @typescript-eslint/no-explicit-any
-      (error as any).response = res;
-      throw error;
-    }
-
-    return {
-      data:
-        opts.responseType === "json"
-          ? await res.json()
-          : new GoogleVertexAIResponseStream(res.body),
-      config: {},
-      status: res.status,
-      statusText: res.statusText,
-      headers: res.headers,
-      request: { responseURL: res.url },
-    };
-  }
-}
diff --git a/libs/langchain-community/src/vectorstores/chroma.ts b/libs/langchain-community/src/vectorstores/chroma.ts
index 81731fbef087..3f94808a25ae 100644
--- a/libs/langchain-community/src/vectorstores/chroma.ts
+++ b/libs/langchain-community/src/vectorstores/chroma.ts
@@ -3,8 +3,9 @@ import type {
   ChromaClient as ChromaClientT,
   Collection,
   ChromaClientParams,
+  CollectionMetadata,
+  Where,
 } from "chromadb";
-import type { CollectionMetadata, Where } from "chromadb/dist/main/types.js";
 
 import type { EmbeddingsInterface } from "@langchain/core/embeddings";
 import { VectorStore } from "@langchain/core/vectorstores";
diff --git a/libs/langchain-community/src/vectorstores/supabase.ts b/libs/langchain-community/src/vectorstores/supabase.ts
index e8875c3aab9d..0cdda3f61b85 100644
--- a/libs/langchain-community/src/vectorstores/supabase.ts
+++ b/libs/langchain-community/src/vectorstores/supabase.ts
@@ -55,7 +55,7 @@ export interface SupabaseLibArgs {
  * npm install @langchain/community @supabase/supabase-js
  * ```
  *
- * See https://js.langchain.com/v0.2/docs/integrations/vectorstores/supabase for
+ * See https://js.langchain.com/docs/integrations/vectorstores/supabase for
  * instructions on how to set up your Supabase instance.
  *
  * ## [Constructor args](https://api.js.langchain.com/classes/_langchain_community.vectorstores_supabase.SupabaseVectorStore.html#constructor)
diff --git a/libs/langchain-community/src/vectorstores/tests/convex/package.json b/libs/langchain-community/src/vectorstores/tests/convex/package.json
index 37c930d174e4..7324f274bc9a 100644
--- a/libs/langchain-community/src/vectorstores/tests/convex/package.json
+++ b/libs/langchain-community/src/vectorstores/tests/convex/package.json
@@ -4,6 +4,6 @@
   "type": "module",
   "dependencies": {
     "convex": "1.4.1",
-    "@langchain/core": ">0.1.0  <0.3.0"
+    "@langchain/core": ">=0.3.0 <0.4.0"
   }
 }
diff --git a/libs/langchain-exa/README.md b/libs/langchain-exa/README.md
index be791dfa8256..97bc28ff1d30 100644
--- a/libs/langchain-exa/README.md
+++ b/libs/langchain-exa/README.md
@@ -5,7 +5,7 @@ This package contains the LangChain.js integrations for exa through their SDK.
 ## Installation
 
 ```bash npm2yarn
-npm install @langchain/exa
+npm install @langchain/exa @langchain/core
 ```
 
 ## Development
diff --git a/libs/langchain-exa/package.json b/libs/langchain-exa/package.json
index ebbb59a167f8..a0998bbc4a0c 100644
--- a/libs/langchain-exa/package.json
+++ b/libs/langchain-exa/package.json
@@ -32,11 +32,14 @@
   "author": "LangChain",
   "license": "MIT",
   "dependencies": {
-    "@langchain/core": ">0.1.0 <0.3.0",
     "exa-js": "^1.0.12"
   },
+  "peerDependencies": {
+    "@langchain/core": ">=0.2.21 <0.4.0"
+  },
   "devDependencies": {
     "@jest/globals": "^29.5.0",
+    "@langchain/core": "workspace:*",
     "@langchain/scripts": ">=0.1.0 <0.2.0",
     "@swc/core": "^1.3.90",
     "@swc/jest": "^0.2.29",
diff --git a/libs/langchain-google-common/package.json b/libs/langchain-google-common/package.json
index 2bafc1cbcc5e..ee3bc6877756 100644
--- a/libs/langchain-google-common/package.json
+++ b/libs/langchain-google-common/package.json
@@ -32,12 +32,15 @@
   "author": "LangChain",
   "license": "MIT",
   "dependencies": {
-    "@langchain/core": ">=0.2.21 <0.3.0",
     "uuid": "^10.0.0",
     "zod-to-json-schema": "^3.22.4"
   },
+  "peerDependencies": {
+    "@langchain/core": ">=0.2.21 <0.4.0"
+  },
   "devDependencies": {
     "@jest/globals": "^29.5.0",
+    "@langchain/core": "workspace:*",
     "@langchain/scripts": ">=0.1.0 <0.2.0",
     "@swc/core": "^1.3.90",
     "@swc/jest": "^0.2.29",
diff --git a/libs/langchain-google-common/src/llms.ts b/libs/langchain-google-common/src/llms.ts
index e9c267aaaf65..b359a41e7d45 100644
--- a/libs/langchain-google-common/src/llms.ts
+++ b/libs/langchain-google-common/src/llms.ts
@@ -76,6 +76,12 @@ export abstract class GoogleBaseLLM<AuthOptions>
     return "GoogleLLM";
   }
 
+  get lc_secrets(): { [key: string]: string } | undefined {
+    return {
+      authOptions: "GOOGLE_AUTH_OPTIONS",
+    };
+  }
+
   originalFields?: GoogleBaseLLMInput<AuthOptions>;
 
   lc_serializable = true;
diff --git a/libs/langchain-google-gauth/package.json b/libs/langchain-google-gauth/package.json
index e70fa0a15204..8dcc881897b5 100644
--- a/libs/langchain-google-gauth/package.json
+++ b/libs/langchain-google-gauth/package.json
@@ -35,12 +35,15 @@
   "author": "LangChain",
   "license": "MIT",
   "dependencies": {
-    "@langchain/core": ">=0.2.21 <0.3.0",
     "@langchain/google-common": "~0.0.27",
     "google-auth-library": "^8.9.0"
   },
+  "peerDependencies": {
+    "@langchain/core": ">=0.2.21 <0.4.0"
+  },
   "devDependencies": {
     "@jest/globals": "^29.5.0",
+    "@langchain/core": "workspace:*",
     "@langchain/scripts": ">=0.1.0 <0.2.0",
     "@swc/core": "^1.3.90",
     "@swc/jest": "^0.2.29",
diff --git a/libs/langchain-google-gauth/src/tests/chat_models.int.test.ts b/libs/langchain-google-gauth/src/tests/chat_models.int.test.ts
index 5baa6aaf1973..2bc8f483b13b 100644
--- a/libs/langchain-google-gauth/src/tests/chat_models.int.test.ts
+++ b/libs/langchain-google-gauth/src/tests/chat_models.int.test.ts
@@ -285,7 +285,7 @@ describe("GAuth Chat", () => {
       },
       {
         type: "media",
-        fileUri: "https://js.langchain.com/v0.2/img/brand/wordmark.png",
+        fileUri: "https://js.langchain.com/img/brand/wordmark.png",
       },
     ];
 
diff --git a/libs/langchain-google-genai/README.md b/libs/langchain-google-genai/README.md
index 074ba40704ff..2f8572bf3dca 100644
--- a/libs/langchain-google-genai/README.md
+++ b/libs/langchain-google-genai/README.md
@@ -5,7 +5,7 @@ This package contains the LangChain.js integrations for Gemini through their gen
 ## Installation
 
 ```bash npm2yarn
-npm install @langchain/google-genai
+npm install @langchain/google-genai @langchain/core
 ```
 
 This package, along with the main LangChain package, depends on [`@langchain/core`](https://npmjs.com/package/@langchain/core/).
@@ -17,18 +17,18 @@ You can do so by adding appropriate field to your project's `package.json` like
   "name": "your-project",
   "version": "0.0.0",
   "dependencies": {
-    "@langchain/google-genai": "^0.0.0",
-    "langchain": "0.0.207"
+    "@langchain/core": "^0.3.0",
+    "@langchain/google-genai": "^0.0.0"
   },
   "resolutions": {
-    "@langchain/core": "0.1.5"
+    "@langchain/core": "^0.3.0"
   },
   "overrides": {
-    "@langchain/core": "0.1.5"
+    "@langchain/core": "^0.3.0"
   },
   "pnpm": {
     "overrides": {
-      "@langchain/core": "0.1.5"
+      "@langchain/core": "^0.3.0"
     }
   }
 }
diff --git a/libs/langchain-google-genai/package.json b/libs/langchain-google-genai/package.json
index e0b64b7114c9..1d7bc83524d5 100644
--- a/libs/langchain-google-genai/package.json
+++ b/libs/langchain-google-genai/package.json
@@ -36,11 +36,14 @@
   "license": "MIT",
   "dependencies": {
     "@google/generative-ai": "^0.7.0",
-    "@langchain/core": ">=0.2.21 <0.3.0",
     "zod-to-json-schema": "^3.22.4"
   },
+  "peerDependencies": {
+    "@langchain/core": ">=0.2.21 <0.4.0"
+  },
   "devDependencies": {
     "@jest/globals": "^29.5.0",
+    "@langchain/core": "workspace:*",
     "@langchain/scripts": ">=0.1.0 <0.2.0",
     "@langchain/standard-tests": "0.0.0",
     "@swc/core": "^1.3.90",
diff --git a/libs/langchain-google-vertexai-web/package.json b/libs/langchain-google-vertexai-web/package.json
index c4429f8e326b..86dc96d8cd1b 100644
--- a/libs/langchain-google-vertexai-web/package.json
+++ b/libs/langchain-google-vertexai-web/package.json
@@ -32,11 +32,14 @@
   "author": "LangChain",
   "license": "MIT",
   "dependencies": {
-    "@langchain/core": ">=0.2.21 <0.3.0",
     "@langchain/google-webauth": "~0.0.27"
   },
+  "peerDependencies": {
+    "@langchain/core": ">=0.2.21 <0.4.0"
+  },
   "devDependencies": {
     "@jest/globals": "^29.5.0",
+    "@langchain/core": "workspace:*",
     "@langchain/google-common": "^0.0.27",
     "@langchain/scripts": ">=0.1.0 <0.2.0",
     "@langchain/standard-tests": "0.0.0",
diff --git a/libs/langchain-google-vertexai-web/src/chat_models.ts b/libs/langchain-google-vertexai-web/src/chat_models.ts
index 4d8f42de719d..4f70fb018958 100644
--- a/libs/langchain-google-vertexai-web/src/chat_models.ts
+++ b/libs/langchain-google-vertexai-web/src/chat_models.ts
@@ -291,6 +291,8 @@ export interface ChatVertexAIInput extends ChatGoogleInput {}
  * <br />
  */
 export class ChatVertexAI extends ChatGoogle {
+  lc_namespace = ["langchain", "chat_models", "vertexai"];
+
   static lc_name() {
     return "ChatVertexAI";
   }
diff --git a/libs/langchain-google-vertexai-web/src/llms.ts b/libs/langchain-google-vertexai-web/src/llms.ts
index 603837c54755..535bec605e25 100644
--- a/libs/langchain-google-vertexai-web/src/llms.ts
+++ b/libs/langchain-google-vertexai-web/src/llms.ts
@@ -10,6 +10,8 @@ export interface VertexAIInput extends GoogleLLMInput {}
  * the "@langchain/google-webauth" package for auth.
  */
 export class VertexAI extends GoogleLLM {
+  lc_namespace = ["langchain", "llms", "vertexai"];
+
   static lc_name() {
     return "VertexAI";
   }
diff --git a/libs/langchain-google-vertexai-web/src/tests/chat_models.test.ts b/libs/langchain-google-vertexai-web/src/tests/chat_models.test.ts
new file mode 100644
index 000000000000..a7405b0bc035
--- /dev/null
+++ b/libs/langchain-google-vertexai-web/src/tests/chat_models.test.ts
@@ -0,0 +1,14 @@
+/* eslint-disable no-process-env */
+import { test, expect } from "@jest/globals";
+import { ChatVertexAI } from "../chat_models.js";
+
+test("Serialization", () => {
+  const model = new ChatVertexAI({
+    authOptions: {
+      credentials: "foo",
+    },
+  });
+  expect(JSON.stringify(model)).toEqual(
+    `{"lc":1,"type":"constructor","id":["langchain","chat_models","vertexai","ChatVertexAI"],"kwargs":{"auth_options":{"lc":1,"type":"secret","id":["GOOGLE_AUTH_OPTIONS"]},"platform_type":"gcp"}}`
+  );
+});
diff --git a/libs/langchain-google-vertexai-web/src/tests/llms.test.ts b/libs/langchain-google-vertexai-web/src/tests/llms.test.ts
new file mode 100644
index 000000000000..1d6147cf8d34
--- /dev/null
+++ b/libs/langchain-google-vertexai-web/src/tests/llms.test.ts
@@ -0,0 +1,14 @@
+/* eslint-disable no-process-env */
+import { test, expect } from "@jest/globals";
+import { VertexAI } from "../llms.js";
+
+test("Serialization", () => {
+  const model = new VertexAI({
+    authOptions: {
+      credentials: "foo",
+    },
+  });
+  expect(JSON.stringify(model)).toEqual(
+    `{"lc":1,"type":"constructor","id":["langchain","llms","vertexai","VertexAI"],"kwargs":{"auth_options":{"lc":1,"type":"secret","id":["GOOGLE_AUTH_OPTIONS"]},"platform_type":"gcp"}}`
+  );
+});
diff --git a/libs/langchain-google-vertexai/package.json b/libs/langchain-google-vertexai/package.json
index 5fcea15ee516..7792d8cdefeb 100644
--- a/libs/langchain-google-vertexai/package.json
+++ b/libs/langchain-google-vertexai/package.json
@@ -32,11 +32,14 @@
   "author": "LangChain",
   "license": "MIT",
   "dependencies": {
-    "@langchain/core": ">=0.2.21 <0.3.0",
     "@langchain/google-gauth": "~0.0.27"
   },
+  "peerDependencies": {
+    "@langchain/core": ">=0.2.21 <0.4.0"
+  },
   "devDependencies": {
     "@jest/globals": "^29.5.0",
+    "@langchain/core": "workspace:*",
     "@langchain/google-common": "^0.0.27",
     "@langchain/scripts": ">=0.1.0 <0.2.0",
     "@langchain/standard-tests": "0.0.0",
diff --git a/libs/langchain-google-vertexai/src/chat_models.ts b/libs/langchain-google-vertexai/src/chat_models.ts
index 1f5ae73ec8f4..ccf7b0b0861f 100644
--- a/libs/langchain-google-vertexai/src/chat_models.ts
+++ b/libs/langchain-google-vertexai/src/chat_models.ts
@@ -288,6 +288,8 @@ export interface ChatVertexAIInput extends ChatGoogleInput {}
  * <br />
  */
 export class ChatVertexAI extends ChatGoogle {
+  lc_namespace = ["langchain", "chat_models", "vertexai"];
+
   static lc_name() {
     return "ChatVertexAI";
   }
diff --git a/libs/langchain-google-vertexai/src/llms.ts b/libs/langchain-google-vertexai/src/llms.ts
index aea6968c0490..aff76681e442 100644
--- a/libs/langchain-google-vertexai/src/llms.ts
+++ b/libs/langchain-google-vertexai/src/llms.ts
@@ -10,6 +10,8 @@ export interface VertexAIInput extends GoogleLLMInput {}
  * the "@langchain/google-gauth" package for auth.
  */
 export class VertexAI extends GoogleLLM {
+  lc_namespace = ["langchain", "llms", "vertexai"];
+
   static lc_name() {
     return "VertexAI";
   }
diff --git a/libs/langchain-google-vertexai/src/tests/chat_models.int.test.ts b/libs/langchain-google-vertexai/src/tests/chat_models.int.test.ts
index 8eeed770fee2..dcac30321b53 100644
--- a/libs/langchain-google-vertexai/src/tests/chat_models.int.test.ts
+++ b/libs/langchain-google-vertexai/src/tests/chat_models.int.test.ts
@@ -252,7 +252,7 @@ describe("GAuth Chat", () => {
       },
       {
         type: "media",
-        fileUri: "https://js.langchain.com/v0.2/img/brand/wordmark.png",
+        fileUri: "https://js.langchain.com/img/brand/wordmark.png",
       },
     ];
 
diff --git a/libs/langchain-google-vertexai/src/tests/chat_models.test.ts b/libs/langchain-google-vertexai/src/tests/chat_models.test.ts
new file mode 100644
index 000000000000..7b77d39925ed
--- /dev/null
+++ b/libs/langchain-google-vertexai/src/tests/chat_models.test.ts
@@ -0,0 +1,10 @@
+/* eslint-disable no-process-env */
+import { test, expect } from "@jest/globals";
+import { ChatVertexAI } from "../chat_models.js";
+
+test("Serialization", () => {
+  const model = new ChatVertexAI();
+  expect(JSON.stringify(model)).toEqual(
+    `{"lc":1,"type":"constructor","id":["langchain","chat_models","vertexai","ChatVertexAI"],"kwargs":{"platform_type":"gcp"}}`
+  );
+});
diff --git a/libs/langchain-google-vertexai/src/tests/llms.test.ts b/libs/langchain-google-vertexai/src/tests/llms.test.ts
new file mode 100644
index 000000000000..a958e1960ecf
--- /dev/null
+++ b/libs/langchain-google-vertexai/src/tests/llms.test.ts
@@ -0,0 +1,10 @@
+/* eslint-disable no-process-env */
+import { test, expect } from "@jest/globals";
+import { VertexAI } from "../llms.js";
+
+test("Serialization", () => {
+  const model = new VertexAI();
+  expect(JSON.stringify(model)).toEqual(
+    `{"lc":1,"type":"constructor","id":["langchain","llms","vertexai","VertexAI"],"kwargs":{"platform_type":"gcp"}}`
+  );
+});
diff --git a/libs/langchain-google-webauth/package.json b/libs/langchain-google-webauth/package.json
index a6830b7eac5d..ec5192795866 100644
--- a/libs/langchain-google-webauth/package.json
+++ b/libs/langchain-google-webauth/package.json
@@ -32,12 +32,15 @@
   "author": "LangChain",
   "license": "MIT",
   "dependencies": {
-    "@langchain/core": ">=0.2.21 <0.3.0",
     "@langchain/google-common": "~0.0.27",
     "web-auth-library": "^1.0.3"
   },
+  "peerDependencies": {
+    "@langchain/core": ">=0.2.21 <0.4.0"
+  },
   "devDependencies": {
     "@jest/globals": "^29.5.0",
+    "@langchain/core": "workspace:*",
     "@langchain/scripts": ">=0.1.0 <0.2.0",
     "@swc/core": "^1.3.90",
     "@swc/jest": "^0.2.29",
diff --git a/libs/langchain-google-webauth/src/tests/chat_models.int.test.ts b/libs/langchain-google-webauth/src/tests/chat_models.int.test.ts
index 60fcba032d18..106b685bfee8 100644
--- a/libs/langchain-google-webauth/src/tests/chat_models.int.test.ts
+++ b/libs/langchain-google-webauth/src/tests/chat_models.int.test.ts
@@ -214,7 +214,7 @@ describe("Google APIKey Chat", () => {
       },
       {
         type: "media",
-        fileUri: "https://js.langchain.com/v0.2/img/brand/wordmark.png",
+        fileUri: "https://js.langchain.com/img/brand/wordmark.png",
       },
     ];
 
diff --git a/libs/langchain-groq/README.md b/libs/langchain-groq/README.md
index b8f8b684fb95..39a408d2dea7 100644
--- a/libs/langchain-groq/README.md
+++ b/libs/langchain-groq/README.md
@@ -5,7 +5,7 @@ This package contains the LangChain.js integrations for Groq via the groq/sdk pa
 ## Installation
 
 ```bash npm2yarn
-npm install @langchain/groq
+npm install @langchain/groq @langchain/core
 ```
 
 ## Chat models
diff --git a/libs/langchain-groq/package.json b/libs/langchain-groq/package.json
index bb816bc376cd..f3b62befb487 100644
--- a/libs/langchain-groq/package.json
+++ b/libs/langchain-groq/package.json
@@ -35,14 +35,17 @@
   "author": "LangChain",
   "license": "MIT",
   "dependencies": {
-    "@langchain/core": ">=0.2.21 <0.3.0",
     "@langchain/openai": "~0.2.6",
     "groq-sdk": "^0.5.0",
     "zod": "^3.22.4",
     "zod-to-json-schema": "^3.22.5"
   },
+  "peerDependencies": {
+    "@langchain/core": ">=0.2.21 <0.4.0"
+  },
   "devDependencies": {
     "@jest/globals": "^29.5.0",
+    "@langchain/core": "workspace:*",
     "@langchain/openai": "workspace:^",
     "@langchain/scripts": ">=0.1.0 <0.2.0",
     "@langchain/standard-tests": "0.0.0",
diff --git a/libs/langchain-groq/src/chat_models.ts b/libs/langchain-groq/src/chat_models.ts
index 79d20b05a546..c16b58752520 100644
--- a/libs/langchain-groq/src/chat_models.ts
+++ b/libs/langchain-groq/src/chat_models.ts
@@ -641,6 +641,8 @@ export class ChatGroq extends BaseChatModel<
   ChatGroqCallOptions,
   AIMessageChunk
 > {
+  lc_namespace = ["langchain", "chat_models", "groq"];
+
   client: Groq;
 
   modelName = "mixtral-8x7b-32768";
diff --git a/libs/langchain-groq/src/tests/chat_models.test.ts b/libs/langchain-groq/src/tests/chat_models.test.ts
new file mode 100644
index 000000000000..b1ed1988d647
--- /dev/null
+++ b/libs/langchain-groq/src/tests/chat_models.test.ts
@@ -0,0 +1,12 @@
+/* eslint-disable no-process-env */
+import { test, expect } from "@jest/globals";
+import { ChatGroq } from "../chat_models.js";
+
+test("Serialization", () => {
+  const model = new ChatGroq({
+    apiKey: "foo",
+  });
+  expect(JSON.stringify(model)).toEqual(
+    `{"lc":1,"type":"constructor","id":["langchain","chat_models","groq","ChatGroq"],"kwargs":{"api_key":{"lc":1,"type":"secret","id":["GROQ_API_KEY"]}}}`
+  );
+});
diff --git a/libs/langchain-mistralai/README.md b/libs/langchain-mistralai/README.md
index 99dae0d45efc..e6e62de62e1d 100644
--- a/libs/langchain-mistralai/README.md
+++ b/libs/langchain-mistralai/README.md
@@ -5,7 +5,7 @@ This package contains the LangChain.js integrations for Mistral through their SD
 ## Installation
 
 ```bash npm2yarn
-npm install @langchain/mistralai
+npm install @langchain/mistralai @langchain/core
 ```
 
 This package, along with the main LangChain package, depends on [`@langchain/core`](https://npmjs.com/package/@langchain/core/).
@@ -17,18 +17,18 @@ You can do so by adding appropriate field to your project's `package.json` like
   "name": "your-project",
   "version": "0.0.0",
   "dependencies": {
-    "@langchain/mistralai": "^0.0.0",
-    "langchain": "0.0.207"
+    "@langchain/core": "^0.3.0",
+    "@langchain/mistralai": "^0.0.0"
   },
   "resolutions": {
-    "@langchain/core": "0.1.5"
+    "@langchain/core": "^0.3.0"
   },
   "overrides": {
-    "@langchain/core": "0.1.5"
+    "@langchain/core": "^0.3.0"
   },
   "pnpm": {
     "overrides": {
-      "@langchain/core": "0.1.5"
+      "@langchain/core": "^0.3.0"
     }
   }
 }
diff --git a/libs/langchain-mistralai/package.json b/libs/langchain-mistralai/package.json
index 59eb0b7b9527..5fb5aa114931 100644
--- a/libs/langchain-mistralai/package.json
+++ b/libs/langchain-mistralai/package.json
@@ -41,8 +41,12 @@
     "zod": "^3.23.8",
     "zod-to-json-schema": "^3.22.4"
   },
+  "peerDependencies": {
+    "@langchain/core": ">=0.2.21 <0.4.0"
+  },
   "devDependencies": {
     "@jest/globals": "^29.5.0",
+    "@langchain/core": "workspace:*",
     "@langchain/scripts": ">=0.1.0 <0.2.0",
     "@langchain/standard-tests": "0.0.0",
     "@swc/core": "^1.3.90",
diff --git a/libs/langchain-mistralai/src/chat_models.ts b/libs/langchain-mistralai/src/chat_models.ts
index 18dee4c44fe1..b40dbd1caf3c 100644
--- a/libs/langchain-mistralai/src/chat_models.ts
+++ b/libs/langchain-mistralai/src/chat_models.ts
@@ -847,6 +847,8 @@ export class ChatMistralAI<
     return "ChatMistralAI";
   }
 
+  lc_namespace = ["langchain", "chat_models", "mistralai"];
+
   modelName = "mistral-small-latest";
 
   model = "mistral-small-latest";
diff --git a/libs/langchain-mistralai/src/llms.ts b/libs/langchain-mistralai/src/llms.ts
index ade20eab9a95..19e9f7a59440 100644
--- a/libs/langchain-mistralai/src/llms.ts
+++ b/libs/langchain-mistralai/src/llms.ts
@@ -112,6 +112,10 @@ export class MistralAI
     return "MistralAI";
   }
 
+  lc_namespace = ["langchain", "llms", "mistralai"];
+
+  lc_serializable = true;
+
   model = "codestral-latest";
 
   temperature = 0;
@@ -183,6 +187,12 @@ Either provide one via the "apiKey" field in the constructor, or set the "MISTRA
     };
   }
 
+  get lc_aliases(): { [key: string]: string } | undefined {
+    return {
+      apiKey: "mistral_api_key",
+    };
+  }
+
   _llmType() {
     return "mistralai";
   }
diff --git a/libs/langchain-mistralai/src/tests/chat_models.test.ts b/libs/langchain-mistralai/src/tests/chat_models.test.ts
index b1dedfb0ba56..5577c0f1be91 100644
--- a/libs/langchain-mistralai/src/tests/chat_models.test.ts
+++ b/libs/langchain-mistralai/src/tests/chat_models.test.ts
@@ -1,3 +1,4 @@
+import { ChatMistralAI } from "../chat_models.js";
 import {
   _isValidMistralToolCallId,
   _convertToolCallIdToMistralCompatible,
@@ -27,3 +28,12 @@ describe("Mistral Tool Call ID Conversion", () => {
     }
   });
 });
+
+test("Serialization", () => {
+  const model = new ChatMistralAI({
+    apiKey: "foo",
+  });
+  expect(JSON.stringify(model)).toEqual(
+    `{"lc":1,"type":"constructor","id":["langchain","chat_models","mistralai","ChatMistralAI"],"kwargs":{"mistral_api_key":{"lc":1,"type":"secret","id":["MISTRAL_API_KEY"]}}}`
+  );
+});
diff --git a/libs/langchain-mistralai/src/tests/llms.test.ts b/libs/langchain-mistralai/src/tests/llms.test.ts
new file mode 100644
index 000000000000..dbeb189d4f18
--- /dev/null
+++ b/libs/langchain-mistralai/src/tests/llms.test.ts
@@ -0,0 +1,10 @@
+import { MistralAI } from "../llms.js";
+
+test("Serialization", () => {
+  const model = new MistralAI({
+    apiKey: "foo",
+  });
+  expect(JSON.stringify(model)).toEqual(
+    `{"lc":1,"type":"constructor","id":["langchain","llms","mistralai","MistralAI"],"kwargs":{"mistral_api_key":{"lc":1,"type":"secret","id":["MISTRAL_API_KEY"]}}}`
+  );
+});
diff --git a/libs/langchain-mixedbread-ai/package.json b/libs/langchain-mixedbread-ai/package.json
index 9d6e6a5d7e50..e5f5c0e854b7 100644
--- a/libs/langchain-mixedbread-ai/package.json
+++ b/libs/langchain-mixedbread-ai/package.json
@@ -35,11 +35,14 @@
   "author": "LangChain",
   "license": "MIT",
   "dependencies": {
-    "@langchain/core": ">=0.2.5 <0.3.0",
     "@mixedbread-ai/sdk": "^2.2.3"
   },
+  "peerDependencies": {
+    "@langchain/core": ">=0.2.5 <0.4.0"
+  },
   "devDependencies": {
     "@jest/globals": "^29.5.0",
+    "@langchain/core": "workspace:*",
     "@langchain/scripts": ">=0.1.0 <0.2.0",
     "@langchain/standard-tests": "0.0.0",
     "@swc/core": "^1.3.90",
diff --git a/libs/langchain-mongodb/README.md b/libs/langchain-mongodb/README.md
index 58cbc66aec5b..2b4d2bad977e 100644
--- a/libs/langchain-mongodb/README.md
+++ b/libs/langchain-mongodb/README.md
@@ -5,7 +5,7 @@ This package contains the LangChain.js integrations for MongoDB through their SD
 ## Installation
 
 ```bash npm2yarn
-npm install @langchain/mongodb
+npm install @langchain/mongodb @langchain/core
 ```
 
 This package, along with the main LangChain package, depends on [`@langchain/core`](https://npmjs.com/package/@langchain/core/).
@@ -17,18 +17,18 @@ You can do so by adding appropriate field to your project's `package.json` like
   "name": "your-project",
   "version": "0.0.0",
   "dependencies": {
-    "@langchain/mongodb": "^0.0.0",
-    "langchain": "0.0.207"
+    "@langchain/core": "^0.3.0",
+    "@langchain/mongodb": "^0.0.0"
   },
   "resolutions": {
-    "@langchain/core": "0.1.5"
+    "@langchain/core": "^0.3.0"
   },
   "overrides": {
-    "@langchain/core": "0.1.5"
+    "@langchain/core": "^0.3.0"
   },
   "pnpm": {
     "overrides": {
-      "@langchain/core": "0.1.5"
+      "@langchain/core": "^0.3.0"
     }
   }
 }
diff --git a/libs/langchain-mongodb/package.json b/libs/langchain-mongodb/package.json
index a920176fa2e2..be01ef09c9e4 100644
--- a/libs/langchain-mongodb/package.json
+++ b/libs/langchain-mongodb/package.json
@@ -32,11 +32,14 @@
   "author": "LangChain",
   "license": "MIT",
   "dependencies": {
-    "@langchain/core": ">0.1.0 <0.3.0",
     "mongodb": "^6.3.0"
   },
+  "peerDependencies": {
+    "@langchain/core": ">=0.2.21 <0.4.0"
+  },
   "devDependencies": {
     "@jest/globals": "^29.5.0",
+    "@langchain/core": "workspace:*",
     "@langchain/openai": "workspace:*",
     "@langchain/scripts": ">=0.1.0 <0.2.0",
     "@swc/core": "^1.3.90",
diff --git a/libs/langchain-nomic/README.md b/libs/langchain-nomic/README.md
index d506cb7fdb92..71513e78fe3c 100644
--- a/libs/langchain-nomic/README.md
+++ b/libs/langchain-nomic/README.md
@@ -5,7 +5,7 @@ This package contains the LangChain.js integrations for Nomic via the @nomic-ai/
 ## Installation
 
 ```bash npm2yarn
-npm install @langchain/nomic
+npm install @langchain/nomic @langchain/core
 ```
 
 ## Embeddings
diff --git a/libs/langchain-nomic/package.json b/libs/langchain-nomic/package.json
index 8ea6f4aa793f..9581683bf289 100644
--- a/libs/langchain-nomic/package.json
+++ b/libs/langchain-nomic/package.json
@@ -32,11 +32,14 @@
   "author": "LangChain",
   "license": "MIT",
   "dependencies": {
-    "@langchain/core": ">0.1.0 <0.3.0",
     "@nomic-ai/atlas": "^0.8.0"
   },
+  "peerDependencies": {
+    "@langchain/core": ">=0.3.0 <0.4.0"
+  },
   "devDependencies": {
     "@jest/globals": "^29.5.0",
+    "@langchain/core": "workspace:*",
     "@langchain/openai": "workspace:^",
     "@langchain/scripts": ">=0.1.0 <0.2.0",
     "@swc/core": "^1.3.90",
diff --git a/libs/langchain-ollama/README.md b/libs/langchain-ollama/README.md
index d643f8d5929f..1ec51f6e2c5c 100644
--- a/libs/langchain-ollama/README.md
+++ b/libs/langchain-ollama/README.md
@@ -5,7 +5,7 @@ This package contains the LangChain.js integrations for Ollama via the `ollama`
 ## Installation
 
 ```bash npm2yarn
-npm install @langchain/ollama
+npm install @langchain/ollama @langchain/core
 ```
 
 TODO: add setup instructions for Ollama locally
diff --git a/libs/langchain-ollama/package.json b/libs/langchain-ollama/package.json
index 5aa3ccf94bf2..caaee41e4b57 100644
--- a/libs/langchain-ollama/package.json
+++ b/libs/langchain-ollama/package.json
@@ -32,12 +32,15 @@
   "author": "LangChain",
   "license": "MIT",
   "dependencies": {
-    "@langchain/core": ">=0.2.21 <0.3.0",
     "ollama": "^0.5.6",
     "uuid": "^10.0.0"
   },
+  "peerDependencies": {
+    "@langchain/core": ">=0.2.21 <0.4.0"
+  },
   "devDependencies": {
     "@jest/globals": "^29.5.0",
+    "@langchain/core": "workspace:*",
     "@langchain/scripts": ">=0.1.0 <0.2.0",
     "@langchain/standard-tests": "0.0.0",
     "@swc/core": "^1.3.90",
diff --git a/libs/langchain-openai/README.md b/libs/langchain-openai/README.md
index 9f9e86e1f7e8..adacc00968aa 100644
--- a/libs/langchain-openai/README.md
+++ b/libs/langchain-openai/README.md
@@ -5,7 +5,7 @@ This package contains the LangChain.js integrations for OpenAI through their SDK
 ## Installation
 
 ```bash npm2yarn
-npm install @langchain/openai
+npm install @langchain/openai @langchain/core
 ```
 
 This package, along with the main LangChain package, depends on [`@langchain/core`](https://npmjs.com/package/@langchain/core/).
@@ -17,18 +17,18 @@ You can do so by adding appropriate fields to your project's `package.json` like
   "name": "your-project",
   "version": "0.0.0",
   "dependencies": {
-    "@langchain/openai": "^0.0.9",
-    "langchain": "0.0.207"
+    "@langchain/core": "^0.3.0",
+    "@langchain/openai": "^0.0.0"
   },
   "resolutions": {
-    "@langchain/core": "0.1.5"
+    "@langchain/core": "^0.3.0"
   },
   "overrides": {
-    "@langchain/core": "0.1.5"
+    "@langchain/core": "^0.3.0"
   },
   "pnpm": {
     "overrides": {
-      "@langchain/core": "0.1.5"
+      "@langchain/core": "^0.3.0"
     }
   }
 }
diff --git a/libs/langchain-openai/package.json b/libs/langchain-openai/package.json
index 7655ffbd758d..bbffc87a332b 100644
--- a/libs/langchain-openai/package.json
+++ b/libs/langchain-openai/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/openai",
-  "version": "0.2.11",
+  "version": "0.3.0-rc.0",
   "description": "OpenAI integrations for LangChain.js",
   "type": "module",
   "engines": {
@@ -35,15 +35,18 @@
   "author": "LangChain",
   "license": "MIT",
   "dependencies": {
-    "@langchain/core": ">=0.2.26 <0.3.0",
     "js-tiktoken": "^1.0.12",
     "openai": "^4.57.3",
     "zod": "^3.22.4",
     "zod-to-json-schema": "^3.22.3"
   },
+  "peerDependencies": {
+    "@langchain/core": ">=0.2.26 <0.4.0 || 0.3.0-rc.0"
+  },
   "devDependencies": {
     "@azure/identity": "^4.2.1",
     "@jest/globals": "^29.5.0",
+    "@langchain/core": "workspace:*",
     "@langchain/scripts": ">=0.1.0 <0.2.0",
     "@langchain/standard-tests": "0.0.0",
     "@swc/core": "^1.3.90",
diff --git a/libs/langchain-openai/src/llms.ts b/libs/langchain-openai/src/llms.ts
index d234f77e7e3d..3ecb14d990f9 100644
--- a/libs/langchain-openai/src/llms.ts
+++ b/libs/langchain-openai/src/llms.ts
@@ -183,7 +183,7 @@ export class OpenAI<CallOptions extends OpenAICallOptions = OpenAICallOptions>
           "",
           `See this page for more information:`,
           "|",
-          `└> https://js.langchain.com/v0.2/docs/integrations/chat/openai`,
+          `└> https://js.langchain.com/docs/integrations/chat/openai`,
         ].join("\n")
       );
       // eslint-disable-next-line no-constructor-return
diff --git a/libs/langchain-openai/src/utils/tools.ts b/libs/langchain-openai/src/utils/tools.ts
index 4a9d4e196ad1..7cfb90ec2617 100644
--- a/libs/langchain-openai/src/utils/tools.ts
+++ b/libs/langchain-openai/src/utils/tools.ts
@@ -1,3 +1,5 @@
+import { OpenAI as OpenAIClient } from "openai";
+
 import { ToolDefinition } from "@langchain/core/language_models/base";
 import { BindToolsInput } from "@langchain/core/language_models/chat_models";
 import {
@@ -27,8 +29,8 @@ export function _convertToOpenAITool(
      */
     strict?: boolean;
   }
-): ToolDefinition {
-  let toolDef: ToolDefinition | undefined;
+): OpenAIClient.ChatCompletionTool {
+  let toolDef: OpenAIClient.ChatCompletionTool | undefined;
 
   if (isLangChainTool(tool)) {
     const oaiToolDef = zodFunction({
diff --git a/libs/langchain-pinecone/README.md b/libs/langchain-pinecone/README.md
index 2f7b5e5de071..8ce22f6785a9 100644
--- a/libs/langchain-pinecone/README.md
+++ b/libs/langchain-pinecone/README.md
@@ -5,7 +5,7 @@ This package contains the LangChain.js integrations for  through their SDK.
 ## Installation
 
 ```bash npm2yarn
-npm install @langchain/pinecone
+npm install @langchain/pinecone @langchain/core
 ```
 
 ## Development
diff --git a/libs/langchain-pinecone/package.json b/libs/langchain-pinecone/package.json
index bf5e64044655..fb6c623e43e8 100644
--- a/libs/langchain-pinecone/package.json
+++ b/libs/langchain-pinecone/package.json
@@ -32,14 +32,17 @@
   "author": "Pinecone, Inc",
   "license": "MIT",
   "dependencies": {
-    "@langchain/core": ">0.2.0 <0.3.0",
     "@pinecone-database/pinecone": "^3.0.0",
     "flat": "^5.0.2",
     "uuid": "^10.0.0"
   },
+  "peerDependencies": {
+    "@langchain/core": ">=0.2.21 <0.4.0"
+  },
   "devDependencies": {
     "@faker-js/faker": "^8.3.1",
     "@jest/globals": "^29.5.0",
+    "@langchain/core": "workspace:*",
     "@langchain/openai": "workspace:*",
     "@langchain/scripts": ">=0.1.0 <0.2.0",
     "@swc/core": "^1.3.90",
diff --git a/libs/langchain-qdrant/package.json b/libs/langchain-qdrant/package.json
index c477b34431f9..07481bd0fc78 100644
--- a/libs/langchain-qdrant/package.json
+++ b/libs/langchain-qdrant/package.json
@@ -32,13 +32,16 @@
   "author": "LangChain",
   "license": "MIT",
   "dependencies": {
-    "@langchain/core": ">0.1.0 <0.3.0",
     "@qdrant/js-client-rest": "^1.9.0",
     "uuid": "^10.0.0"
   },
+  "peerDependencies": {
+    "@langchain/core": ">=0.2.21 <0.4.0"
+  },
   "devDependencies": {
     "@faker-js/faker": "^8.4.1",
     "@jest/globals": "^29.5.0",
+    "@langchain/core": "workspace:*",
     "@langchain/scripts": ">=0.1.0 <0.2.0",
     "@swc/core": "^1.3.90",
     "@swc/jest": "^0.2.29",
diff --git a/libs/langchain-redis/README.md b/libs/langchain-redis/README.md
index 6dccdd508a64..7a1ad2411e51 100644
--- a/libs/langchain-redis/README.md
+++ b/libs/langchain-redis/README.md
@@ -5,7 +5,7 @@ This package contains the LangChain.js integrations for Redis through their SDK.
 ## Installation
 
 ```bash npm2yarn
-npm install @langchain/redis
+npm install @langchain/redis @langchain/core
 ```
 
 ## Development
diff --git a/libs/langchain-redis/package.json b/libs/langchain-redis/package.json
index 1dab09ed191c..7470a3bb9f46 100644
--- a/libs/langchain-redis/package.json
+++ b/libs/langchain-redis/package.json
@@ -32,12 +32,15 @@
   "author": "LangChain",
   "license": "MIT",
   "dependencies": {
-    "@langchain/core": ">0.1.0 <0.3.0",
     "redis": "^4.6.13"
   },
+  "peerDependencies": {
+    "@langchain/core": ">=0.2.21 <0.4.0"
+  },
   "devDependencies": {
     "@faker-js/faker": "^8.4.0",
     "@jest/globals": "^29.5.0",
+    "@langchain/core": "workspace:*",
     "@langchain/scripts": ">=0.1.0 <0.2.0",
     "@swc/core": "^1.3.90",
     "@swc/jest": "^0.2.29",
diff --git a/libs/langchain-scripts/src/cli/docs/chat.ts b/libs/langchain-scripts/src/cli/docs/chat.ts
index 9a18f6d3b321..7a1709e3b0e7 100644
--- a/libs/langchain-scripts/src/cli/docs/chat.ts
+++ b/libs/langchain-scripts/src/cli/docs/chat.ts
@@ -176,7 +176,7 @@ export async function fillChatIntegrationDocTemplate(fields: {
   className: string;
 }) {
   const sidebarLabel = fields.className.replace("Chat", "");
-  const pyDocUrl = `https://python.langchain.com/v0.2/docs/integrations/chat/${sidebarLabel.toLowerCase()}/`;
+  const pyDocUrl = `https://python.langchain.com/docs/integrations/chat/${sidebarLabel.toLowerCase()}/`;
   let envVarName = `${sidebarLabel.toUpperCase()}_API_KEY`;
   const extraFields = await promptExtraFields({
     envVarGuess: envVarName,
diff --git a/libs/langchain-scripts/src/cli/docs/document_loaders.ts b/libs/langchain-scripts/src/cli/docs/document_loaders.ts
index bf3b058831f3..db39f905f88b 100644
--- a/libs/langchain-scripts/src/cli/docs/document_loaders.ts
+++ b/libs/langchain-scripts/src/cli/docs/document_loaders.ts
@@ -131,7 +131,7 @@ export async function fillDocLoaderIntegrationDocTemplate(fields: {
   className: string;
 }) {
   const sidebarLabel = fields.className.replace("Loader", "");
-  const pyDocUrl = `https://python.langchain.com/v0.2/docs/integrations/document_loaders/${sidebarLabel.toLowerCase()}/`;
+  const pyDocUrl = `https://python.langchain.com/docs/integrations/document_loaders/${sidebarLabel.toLowerCase()}/`;
   let envVarName = `${sidebarLabel.toUpperCase()}_API_KEY`;
   const extraFields = await promptExtraFields({
     envVarGuess: envVarName,
diff --git a/libs/langchain-scripts/src/cli/docs/kv_store.ts b/libs/langchain-scripts/src/cli/docs/kv_store.ts
index 6b43262dff51..63be6afa2160 100644
--- a/libs/langchain-scripts/src/cli/docs/kv_store.ts
+++ b/libs/langchain-scripts/src/cli/docs/kv_store.ts
@@ -107,7 +107,7 @@ export async function fillKVStoreIntegrationDocTemplate(fields: {
   } else {
     sidebarLabel = fields.className.replace("Store", " Store");
   }
-  const pyDocUrl = `https://python.langchain.com/v0.2/docs/integrations/stores/${sidebarLabel.toLowerCase()}/`;
+  const pyDocUrl = `https://python.langchain.com/docs/integrations/stores/${sidebarLabel.toLowerCase()}/`;
   let envVarName = `${sidebarLabel.toUpperCase()}_API_KEY`;
   const extraFields = await promptExtraFields({
     envVarGuess: envVarName,
diff --git a/libs/langchain-scripts/src/cli/docs/llms.ts b/libs/langchain-scripts/src/cli/docs/llms.ts
index 214f5cc38711..662d2299f45a 100644
--- a/libs/langchain-scripts/src/cli/docs/llms.ts
+++ b/libs/langchain-scripts/src/cli/docs/llms.ts
@@ -108,7 +108,7 @@ export async function fillLLMIntegrationDocTemplate(fields: {
   className: string;
 }) {
   const sidebarLabel = fields.className.replace("LLM", "").replace("Llm", "");
-  const pyDocUrl = `https://python.langchain.com/v0.2/docs/integrations/llms/${sidebarLabel.toLowerCase()}/`;
+  const pyDocUrl = `https://python.langchain.com/docs/integrations/llms/${sidebarLabel.toLowerCase()}/`;
   let envVarName = `${sidebarLabel.toUpperCase()}_API_KEY`;
   const extraFields = await promptExtraFields({
     envVarGuess: envVarName,
diff --git a/libs/langchain-scripts/src/cli/docs/retrievers.ts b/libs/langchain-scripts/src/cli/docs/retrievers.ts
index f94613027901..d389f135b7b8 100644
--- a/libs/langchain-scripts/src/cli/docs/retrievers.ts
+++ b/libs/langchain-scripts/src/cli/docs/retrievers.ts
@@ -89,7 +89,7 @@ export async function fillRetrieverIntegrationDocTemplate(fields: {
   className: string;
 }) {
   const sidebarLabel = fields.className.replace("Retriever", "");
-  const pyDocUrl = `https://python.langchain.com/v0.2/docs/integrations/retrievers/${sidebarLabel.toLowerCase()}/`;
+  const pyDocUrl = `https://python.langchain.com/docs/integrations/retrievers/${sidebarLabel.toLowerCase()}/`;
   const extraFields = await promptExtraFields();
   const { pySupport } = extraFields;
   const { canSelfHost } = extraFields;
diff --git a/libs/langchain-scripts/src/cli/docs/templates/chat.ipynb b/libs/langchain-scripts/src/cli/docs/templates/chat.ipynb
index b2b9f50248f4..303493051839 100644
--- a/libs/langchain-scripts/src/cli/docs/templates/chat.ipynb
+++ b/libs/langchain-scripts/src/cli/docs/templates/chat.ipynb
@@ -74,7 +74,7 @@
     "<IntegrationInstallTooltip></IntegrationInstallTooltip>\n",
     "\n",
     "<Npm2Yarn>\n",
-    "  __package_name__\n",
+    "  __package_name__ @langchain/core\n",
     "</Npm2Yarn>\n",
     "\n",
     "```"
diff --git a/libs/langchain-scripts/src/cli/docs/templates/document_loaders.ipynb b/libs/langchain-scripts/src/cli/docs/templates/document_loaders.ipynb
index de5c4704ad5f..92597b7898bf 100644
--- a/libs/langchain-scripts/src/cli/docs/templates/document_loaders.ipynb
+++ b/libs/langchain-scripts/src/cli/docs/templates/document_loaders.ipynb
@@ -66,7 +66,7 @@
     "<IntegrationInstallTooltip></IntegrationInstallTooltip>\n",
     "\n",
     "<Npm2Yarn>\n",
-    "  __package_name__\n",
+    "  __package_name__ @langchain/core\n",
     "</Npm2Yarn>\n",
     "\n",
     "```"
diff --git a/libs/langchain-scripts/src/cli/docs/templates/kv_store.ipynb b/libs/langchain-scripts/src/cli/docs/templates/kv_store.ipynb
index b54beedc0710..10740e01319e 100644
--- a/libs/langchain-scripts/src/cli/docs/templates/kv_store.ipynb
+++ b/libs/langchain-scripts/src/cli/docs/templates/kv_store.ipynb
@@ -23,7 +23,7 @@
     "\n",
     "This will help you get started with [__module_name__](/docs/concepts/#key-value-stores). For detailed documentation of all __module_name__ features and configurations head to the [API reference](__api_ref_module__).\n",
     "\n",
-    "- TODO: Add any other relevant links, like information about models, prices, context windows, etc. See https://js.langchain.com/v0.2/docs/integrations/stores/in_memory/ for an example.\n",
+    "- TODO: Add any other relevant links, like information about models, prices, context windows, etc. See https://js.langchain.com/docs/integrations/stores/in_memory/ for an example.\n",
     "\n",
     "## Overview\n",
     "\n",
@@ -67,7 +67,7 @@
     "<IntegrationInstallTooltip></IntegrationInstallTooltip>\n",
     "\n",
     "<Npm2Yarn>\n",
-    "  __package_name__\n",
+    "  __package_name__ @langchain/core\n",
     "</Npm2Yarn>\n",
     "\n",
     "```"
diff --git a/libs/langchain-scripts/src/cli/docs/templates/llms.ipynb b/libs/langchain-scripts/src/cli/docs/templates/llms.ipynb
index 37e309c43b2e..6f43bc0455f0 100644
--- a/libs/langchain-scripts/src/cli/docs/templates/llms.ipynb
+++ b/libs/langchain-scripts/src/cli/docs/templates/llms.ipynb
@@ -70,7 +70,7 @@
     "<IntegrationInstallTooltip></IntegrationInstallTooltip>\n",
     "\n",
     "<Npm2Yarn>\n",
-    "  __package_name__\n",
+    "  __package_name__ @langchain/core\n",
     "</Npm2Yarn>\n",
     "\n",
     "```"
diff --git a/libs/langchain-scripts/src/cli/docs/templates/retrievers.ipynb b/libs/langchain-scripts/src/cli/docs/templates/retrievers.ipynb
index 744886a5f582..3d595ccc66c7 100644
--- a/libs/langchain-scripts/src/cli/docs/templates/retrievers.ipynb
+++ b/libs/langchain-scripts/src/cli/docs/templates/retrievers.ipynb
@@ -65,7 +65,7 @@
     "<IntegrationInstallTooltip></IntegrationInstallTooltip>\n",
     "\n",
     "<Npm2Yarn>\n",
-    "  __package_name__\n",
+    "  __package_name__ @langchain/core\n",
     "</Npm2Yarn>\n",
     "```"
    ]
@@ -175,7 +175,7 @@
     "  return docs.map((doc) => doc.pageContent).join(\"\\n\\n\");\n",
     "}\n",
     "\n",
-    "// See https://js.langchain.com/v0.2/docs/tutorials/rag\n",
+    "// See https://js.langchain.com/docs/tutorials/rag\n",
     "const ragChain = RunnableSequence.from([\n",
     "  {\n",
     "    context: retriever.pipe(formatDocs),\n",
diff --git a/libs/langchain-scripts/src/cli/docs/templates/text_embedding.ipynb b/libs/langchain-scripts/src/cli/docs/templates/text_embedding.ipynb
index a4f70cc15024..e9e9f602ff76 100644
--- a/libs/langchain-scripts/src/cli/docs/templates/text_embedding.ipynb
+++ b/libs/langchain-scripts/src/cli/docs/templates/text_embedding.ipynb
@@ -70,7 +70,7 @@
     "<IntegrationInstallTooltip></IntegrationInstallTooltip>\n",
     "\n",
     "<Npm2Yarn>\n",
-    "  __package_name__\n",
+    "  __package_name__ @langchain/core\n",
     "</Npm2Yarn>\n",
     "```"
    ]
diff --git a/libs/langchain-scripts/src/cli/docs/templates/toolkits.ipynb b/libs/langchain-scripts/src/cli/docs/templates/toolkits.ipynb
index a44fad749540..903bc3619cd6 100644
--- a/libs/langchain-scripts/src/cli/docs/templates/toolkits.ipynb
+++ b/libs/langchain-scripts/src/cli/docs/templates/toolkits.ipynb
@@ -47,7 +47,7 @@
     "<IntegrationInstallTooltip></IntegrationInstallTooltip>\n",
     "\n",
     "<Npm2Yarn>\n",
-    "  __package_name__\n",
+    "  __package_name__ @langchain/core\n",
     "</Npm2Yarn>\n",
     "```"
    ]
diff --git a/libs/langchain-scripts/src/cli/docs/templates/tools.ipynb b/libs/langchain-scripts/src/cli/docs/templates/tools.ipynb
index 3f8f6bb0afdf..0225185d5b6a 100644
--- a/libs/langchain-scripts/src/cli/docs/templates/tools.ipynb
+++ b/libs/langchain-scripts/src/cli/docs/templates/tools.ipynb
@@ -54,7 +54,7 @@
     "<IntegrationInstallTooltip></IntegrationInstallTooltip>\n",
     "\n",
     "<Npm2Yarn>\n",
-    "  __package_name__\n",
+    "  __package_name__ @langchain/core\n",
     "</Npm2Yarn>\n",
     "```\n",
     "\n",
diff --git a/libs/langchain-scripts/src/cli/docs/templates/vectorstores.ipynb b/libs/langchain-scripts/src/cli/docs/templates/vectorstores.ipynb
index c5c6c369b784..72965b603427 100644
--- a/libs/langchain-scripts/src/cli/docs/templates/vectorstores.ipynb
+++ b/libs/langchain-scripts/src/cli/docs/templates/vectorstores.ipynb
@@ -63,7 +63,7 @@
     "<IntegrationInstallTooltip></IntegrationInstallTooltip>\n",
     "\n",
     "<Npm2Yarn>\n",
-    "  __package_name__ @langchain/openai\n",
+    "  __package_name__ @langchain/openai @langchain/core\n",
     "</Npm2Yarn>\n",
     "```\n",
     "\n",
diff --git a/libs/langchain-scripts/src/cli/docs/vectorstores.ts b/libs/langchain-scripts/src/cli/docs/vectorstores.ts
index d0f5c7e16822..288df95bf2b2 100644
--- a/libs/langchain-scripts/src/cli/docs/vectorstores.ts
+++ b/libs/langchain-scripts/src/cli/docs/vectorstores.ts
@@ -80,7 +80,7 @@ export async function fillVectorStoreIntegrationDocTemplate(fields: {
   className: string;
 }) {
   const sidebarLabel = fields.className.replace("VectorStore", "");
-  const pyDocUrl = `https://python.langchain.com/v0.2/docs/integrations/vectorstores/${sidebarLabel.toLowerCase()}/`;
+  const pyDocUrl = `https://python.langchain.com/docs/integrations/vectorstores/${sidebarLabel.toLowerCase()}/`;
   let envVarName = `${sidebarLabel.toUpperCase()}_API_KEY`;
   const extraFields = await promptExtraFields({
     envVarGuess: envVarName,
diff --git a/libs/langchain-scripts/src/notebooks/check_notebook_type_errors.ts b/libs/langchain-scripts/src/notebooks/check_notebook_type_errors.ts
index 358f2aaa10eb..b03f9312a2c6 100644
--- a/libs/langchain-scripts/src/notebooks/check_notebook_type_errors.ts
+++ b/libs/langchain-scripts/src/notebooks/check_notebook_type_errors.ts
@@ -2,6 +2,8 @@ import fs from "node:fs";
 import ts from "typescript";
 import { Project } from "ts-morph";
 
+const SKIP_VALIDATION = ["lcel_cheatsheet.ipynb"];
+
 export function extract(filepath: string) {
   const { cells } = JSON.parse(fs.readFileSync(filepath).toString());
   if (cells[0]?.source.includes("lc_docs_skip_validation: true\n")) {
@@ -73,9 +75,11 @@ export async function checkNotebookTypeErrors() {
   if (!pathname.endsWith(".ipynb")) {
     throw new Error("Only .ipynb files are supported.");
   }
-  const filename = pathname
-    .split("/")
-    [pathname.split("/").length - 1].replace(".ipynb", ".mts");
+  const notebookName = pathname.split("/")[pathname.split("/").length - 1];
+  if (SKIP_VALIDATION.includes(notebookName)) {
+    return;
+  }
+  const filename = notebookName.replace(".ipynb", ".mts");
   const tempFilepath = `./tmp/${filename}`;
   try {
     const typescriptSource = extract(pathname);
diff --git a/libs/langchain-scripts/src/tests/__mdx__/modules/index.mdx b/libs/langchain-scripts/src/tests/__mdx__/modules/index.mdx
index b736d6ef7abe..5535f82d125e 100644
--- a/libs/langchain-scripts/src/tests/__mdx__/modules/index.mdx
+++ b/libs/langchain-scripts/src/tests/__mdx__/modules/index.mdx
@@ -66,10 +66,10 @@ If you are using `yarn`:
   },
   "dependencies": {
     "@langchain/google-genai": "^0.0.2",
-    "langchain": "0.0.207"
+    "@langchain/core": "^0.3.0"
   },
   "resolutions": {
-    "@langchain/core": "0.1.5"
+    "@langchain/core": "0.3.0"
   }
 }
 ```
@@ -86,10 +86,10 @@ Or for `npm`:
   },
   "dependencies": {
     "@langchain/google-genai": "^0.0.2",
-    "langchain": "0.0.207"
+    "@langchain/core": "^0.3.0"
   },
   "overrides": {
-    "@langchain/core": "0.1.5"
+    "@langchain/core": "0.3.0"
   }
 }
 ```
@@ -106,11 +106,11 @@ Or for `pnpm`:
   },
   "dependencies": {
     "@langchain/google-genai": "^0.0.2",
-    "langchain": "0.0.207"
+    "@langchain/core": "^0.3.0"
   },
   "pnpm": {
     "overrides": {
-      "@langchain/core": "0.1.5"
+      "@langchain/core": "0.3.0"
     }
   }
 }
@@ -122,7 +122,7 @@ The [@langchain/community](https://www.npmjs.com/package/@langchain/community) p
 It is automatically installed along with `langchain`, but can also be used separately with just `@langchain/core`. Install with:
 
 ```bash npm2yarn
-npm install @langchain/community
+npm install @langchain/community @langchain/core
 ```
 
 ### @langchain/core
@@ -145,11 +145,11 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 LangChain provides an ESM build targeting Node.js environments. You can import it using the following syntax:
 
 ```bash npm2yarn
-npm install @langchain/openai
+npm install @langchain/openai @langchain/core
 ```
 
 ```typescript
-import { OpenAI } from "@langchain/openai";
+import { ChatOpenAI } from "@langchain/openai";
 ```
 
 If you are using TypeScript in an ESM project we suggest updating your `tsconfig.json` to include the following:
@@ -169,7 +169,7 @@ If you are using TypeScript in an ESM project we suggest updating your `tsconfig
 LangChain provides a CommonJS build targeting Node.js environments. You can import it using the following syntax:
 
 ```typescript
-const { OpenAI } = require("@langchain/openai");
+const { ChatOpenAI } = require("@langchain/openai");
 ```
 
 ### Cloudflare Workers
@@ -177,7 +177,7 @@ const { OpenAI } = require("@langchain/openai");
 LangChain can be used in Cloudflare Workers. You can import it using the following syntax:
 
 ```typescript
-import { OpenAI } from "@langchain/openai";
+import { ChatOpenAI } from "@langchain/openai";
 ```
 
 ### Vercel / Next.js
@@ -185,7 +185,7 @@ import { OpenAI } from "@langchain/openai";
 LangChain can be used in Vercel / Next.js. We support using LangChain in frontend components, in Serverless functions and in Edge functions. You can import it using the following syntax:
 
 ```typescript
-import { OpenAI } from "@langchain/openai";
+import { ChatOpenAI } from "@langchain/openai";
 ```
 
 ### Deno / Supabase Edge Functions
@@ -193,13 +193,13 @@ import { OpenAI } from "@langchain/openai";
 LangChain can be used in Deno / Supabase Edge Functions. You can import it using the following syntax:
 
 ```typescript
-import { OpenAI } from "https://esm.sh/@langchain/openai";
+import { ChatOpenAI } from "https://esm.sh/@langchain/openai";
 ```
 
 or
 
 ```typescript
-import { OpenAI } from "npm:@langchain/openai";
+import { ChatOpenAI } from "npm:@langchain/openai";
 ```
 
 We recommend looking at our [Supabase Template](https://github.com/langchain-ai/langchain-template-supabase) for an example of how to use LangChain in Supabase Edge Functions.
@@ -209,7 +209,7 @@ We recommend looking at our [Supabase Template](https://github.com/langchain-ai/
 LangChain can be used in the browser. In our CI we test bundling LangChain with Webpack and Vite, but other bundlers should work too. You can import it using the following syntax:
 
 ```typescript
-import { OpenAI } from "@langchain/openai";
+import { ChatOpenAI } from "@langchain/openai";
 ```
 
 ## Unsupported: Node.js 16
diff --git a/libs/langchain-scripts/src/tests/__mdx__/modules/two.mdx b/libs/langchain-scripts/src/tests/__mdx__/modules/two.mdx
index cf7210b532de..7825b4109b27 100644
--- a/libs/langchain-scripts/src/tests/__mdx__/modules/two.mdx
+++ b/libs/langchain-scripts/src/tests/__mdx__/modules/two.mdx
@@ -65,10 +65,10 @@ If you are using `yarn`:
   },
   "dependencies": {
     "@langchain/google-genai": "^0.0.2",
-    "langchain": "0.0.207"
+    "@langchain/core": "^0.3.0"
   },
   "resolutions": {
-    "@langchain/core": "0.1.5"
+    "@langchain/core": "0.3.0"
   }
 }
 ```
@@ -85,10 +85,10 @@ Or for `npm`:
   },
   "dependencies": {
     "@langchain/google-genai": "^0.0.2",
-    "langchain": "0.0.207"
+    "@langchain/core": "^0.3.0"
   },
   "overrides": {
-    "@langchain/core": "0.1.5"
+    "@langchain/core": "0.3.0"
   }
 }
 ```
@@ -106,10 +106,10 @@ Or for `pnpm`:
   "dependencies": {
     "@langchain/google-genai": "^0.0.2",
     "langchain": "0.0.207"
-  },
+    "@langchain/core": "^0.3.0"
   "pnpm": {
     "overrides": {
-      "@langchain/core": "0.1.5"
+      "@langchain/core": "0.3.0"
     }
   }
 }
@@ -121,7 +121,7 @@ The [@langchain/community](https://www.npmjs.com/package/@langchain/community) p
 It is automatically installed along with `langchain`, but can also be used separately with just `@langchain/core`. Install with:
 
 ```bash npm2yarn
-npm install @langchain/community
+npm install @langchain/community @langchain/core
 ```
 
 ### @langchain/core
@@ -144,11 +144,11 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 LangChain provides an ESM build targeting Node.js environments. You can import it using the following syntax:
 
 ```bash npm2yarn
-npm install @langchain/openai
+npm install @langchain/openai @langchain/core
 ```
 
 ```typescript
-import { OpenAI } from "@langchain/openai";
+import { ChatOpenAI } from "@langchain/openai";
 ```
 
 If you are using TypeScript in an ESM project we suggest updating your `tsconfig.json` to include the following:
@@ -168,7 +168,7 @@ If you are using TypeScript in an ESM project we suggest updating your `tsconfig
 LangChain provides a CommonJS build targeting Node.js environments. You can import it using the following syntax:
 
 ```typescript
-const { OpenAI } = require("@langchain/openai");
+const { ChatOpenAI } = require("@langchain/openai");
 ```
 
 ### Cloudflare Workers
@@ -176,7 +176,7 @@ const { OpenAI } = require("@langchain/openai");
 LangChain can be used in Cloudflare Workers. You can import it using the following syntax:
 
 ```typescript
-import { OpenAI } from "@langchain/openai";
+import { ChatOpenAI } from "@langchain/openai";
 ```
 
 ### Vercel / Next.js
@@ -184,7 +184,7 @@ import { OpenAI } from "@langchain/openai";
 LangChain can be used in Vercel / Next.js. We support using LangChain in frontend components, in Serverless functions and in Edge functions. You can import it using the following syntax:
 
 ```typescript
-import { OpenAI } from "@langchain/openai";
+import { ChatOpenAI } from "@langchain/openai";
 ```
 
 ### Deno / Supabase Edge Functions
@@ -192,13 +192,13 @@ import { OpenAI } from "@langchain/openai";
 LangChain can be used in Deno / Supabase Edge Functions. You can import it using the following syntax:
 
 ```typescript
-import { OpenAI } from "https://esm.sh/@langchain/openai";
+import { ChatOpenAI } from "https://esm.sh/@langchain/openai";
 ```
 
 or
 
 ```typescript
-import { OpenAI } from "npm:@langchain/openai";
+import { ChatOpenAI } from "npm:@langchain/openai";
 ```
 
 We recommend looking at our [Supabase Template](https://github.com/langchain-ai/langchain-template-supabase) for an example of how to use LangChain in Supabase Edge Functions.
@@ -208,7 +208,7 @@ We recommend looking at our [Supabase Template](https://github.com/langchain-ai/
 LangChain can be used in the browser. In our CI we test bundling LangChain with Webpack and Vite, but other bundlers should work too. You can import it using the following syntax:
 
 ```typescript
-import { OpenAI } from "@langchain/openai";
+import { ChatOpenAI } from "@langchain/openai";
 ```
 
 ## Unsupported: Node.js 16
diff --git a/libs/langchain-textsplitters/README.md b/libs/langchain-textsplitters/README.md
index 5ab3019e7c2f..78834e8a4d8a 100644
--- a/libs/langchain-textsplitters/README.md
+++ b/libs/langchain-textsplitters/README.md
@@ -5,7 +5,7 @@ This package contains various implementations of LangChain.js text splitters, mo
 ## Installation
 
 ```bash npm2yarn
-npm install @langchain/textsplitters
+npm install @langchain/textsplitters @langchain/core
 ```
 
 ## Development
diff --git a/libs/langchain-textsplitters/package.json b/libs/langchain-textsplitters/package.json
index 7948be974102..8896897df09a 100644
--- a/libs/langchain-textsplitters/package.json
+++ b/libs/langchain-textsplitters/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/textsplitters",
-  "version": "0.0.3",
+  "version": "0.1.0-rc.0",
   "description": "Various implementations of LangChain.js text splitters",
   "type": "module",
   "engines": {
@@ -32,11 +32,14 @@
   "author": "LangChain",
   "license": "MIT",
   "dependencies": {
-    "@langchain/core": ">0.2.0 <0.3.0",
     "js-tiktoken": "^1.0.12"
   },
+  "peerDependencies": {
+    "@langchain/core": ">=0.2.21 <0.4.0 || 0.3.0-rc.0"
+  },
   "devDependencies": {
     "@jest/globals": "^29.5.0",
+    "@langchain/core": "workspace:*",
     "@langchain/scripts": ">=0.1.0 <0.2.0",
     "@swc/core": "^1.3.90",
     "@swc/jest": "^0.2.29",
diff --git a/libs/langchain-weaviate/README.md b/libs/langchain-weaviate/README.md
index 3b7faff7ba83..f1837b1a24c9 100644
--- a/libs/langchain-weaviate/README.md
+++ b/libs/langchain-weaviate/README.md
@@ -5,7 +5,7 @@ This package contains the LangChain.js integrations for Weaviate with the `weavi
 ## Installation
 
 ```bash npm2yarn
-npm install @langchain/weaviate
+npm install @langchain/weaviate @langchain/core
 ```
 
 ## Vectorstore
diff --git a/libs/langchain-weaviate/package.json b/libs/langchain-weaviate/package.json
index 44fac83cbdd4..d4b237aa34e8 100644
--- a/libs/langchain-weaviate/package.json
+++ b/libs/langchain-weaviate/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/weaviate",
-  "version": "0.0.5",
+  "version": "0.1.0-rc.0",
   "description": "Weaviate integration for LangChain.js",
   "type": "module",
   "engines": {
@@ -32,12 +32,15 @@
   "author": "LangChain",
   "license": "MIT",
   "dependencies": {
-    "@langchain/core": ">0.2.0 <0.3.0",
     "uuid": "^10.0.0",
     "weaviate-ts-client": "^2.0.0"
   },
+  "peerDependencies": {
+    "@langchain/core": ">=0.2.21 <0.4.0 || 0.3.0-rc.0"
+  },
   "devDependencies": {
     "@jest/globals": "^29.5.0",
+    "@langchain/core": "workspace:*",
     "@langchain/openai": "workspace:^",
     "@langchain/scripts": ">=0.1.0 <0.2.0",
     "@swc/core": "^1.3.90",
diff --git a/libs/langchain-yandex/README.md b/libs/langchain-yandex/README.md
index 9d8c415405b0..e88314089f4a 100644
--- a/libs/langchain-yandex/README.md
+++ b/libs/langchain-yandex/README.md
@@ -5,7 +5,7 @@ This package contains the LangChain.js integrations for YandexGPT through their
 ## Installation
 
 ```bash npm2yarn
-npm install @langchain/yandex
+npm install @langchain/yandex @langchain/core
 ```
 
 ## Setup your environment
diff --git a/libs/langchain-yandex/package.json b/libs/langchain-yandex/package.json
index c6ab4910b996..71509be4b1db 100644
--- a/libs/langchain-yandex/package.json
+++ b/libs/langchain-yandex/package.json
@@ -31,11 +31,12 @@
   },
   "author": "LangChain",
   "license": "MIT",
-  "dependencies": {
-    "@langchain/core": ">0.1.0  <0.3.0"
+  "peerDependencies": {
+    "@langchain/core": ">=0.2.21 <0.4.0"
   },
   "devDependencies": {
     "@jest/globals": "^29.5.0",
+    "@langchain/core": "workspace:*",
     "@langchain/scripts": ">=0.1.0 <0.2.0",
     "@swc/core": "^1.3.90",
     "@swc/jest": "^0.2.29",
diff --git a/yarn.lock b/yarn.lock
index 933f71e948ed..078508e3e4b9 100644
--- a/yarn.lock
+++ b/yarn.lock
@@ -6394,6 +6394,13 @@ __metadata:
   languageName: node
   linkType: hard
 
+"@babel/compat-data@npm:^7.25.2":
+  version: 7.25.4
+  resolution: "@babel/compat-data@npm:7.25.4"
+  checksum: b12a91d27c3731a4b0bdc9312a50b1911f41f7f728aaf0d4b32486e2257fd2cb2d3ea1a295e98449600c48f2c7883a3196ca77cda1cef7d97a10c2e83d037974
+  languageName: node
+  linkType: hard
+
 "@babel/core@npm:7.12.9":
   version: 7.12.9
   resolution: "@babel/core@npm:7.12.9"
@@ -6464,6 +6471,29 @@ __metadata:
   languageName: node
   linkType: hard
 
+"@babel/core@npm:^7.23.9":
+  version: 7.25.2
+  resolution: "@babel/core@npm:7.25.2"
+  dependencies:
+    "@ampproject/remapping": ^2.2.0
+    "@babel/code-frame": ^7.24.7
+    "@babel/generator": ^7.25.0
+    "@babel/helper-compilation-targets": ^7.25.2
+    "@babel/helper-module-transforms": ^7.25.2
+    "@babel/helpers": ^7.25.0
+    "@babel/parser": ^7.25.0
+    "@babel/template": ^7.25.0
+    "@babel/traverse": ^7.25.2
+    "@babel/types": ^7.25.2
+    convert-source-map: ^2.0.0
+    debug: ^4.1.0
+    gensync: ^1.0.0-beta.2
+    json5: ^2.2.3
+    semver: ^6.3.1
+  checksum: 9a1ef604a7eb62195f70f9370cec45472a08114e3934e3eaaedee8fd754edf0730e62347c7b4b5e67d743ce57b5bb8cf3b92459482ca94d06e06246ef021390a
+  languageName: node
+  linkType: hard
+
 "@babel/eslint-parser@npm:^7.18.2":
   version: 7.22.15
   resolution: "@babel/eslint-parser@npm:7.22.15"
@@ -6514,6 +6544,18 @@ __metadata:
   languageName: node
   linkType: hard
 
+"@babel/generator@npm:^7.25.0, @babel/generator@npm:^7.25.6":
+  version: 7.25.6
+  resolution: "@babel/generator@npm:7.25.6"
+  dependencies:
+    "@babel/types": ^7.25.6
+    "@jridgewell/gen-mapping": ^0.3.5
+    "@jridgewell/trace-mapping": ^0.3.25
+    jsesc: ^2.5.1
+  checksum: b55975cd664f5602304d868bb34f4ee3bed6f5c7ce8132cd92ff27a46a53a119def28a182d91992e86f75db904f63094a81247703c4dc96e4db0c03fd04bcd68
+  languageName: node
+  linkType: hard
+
 "@babel/helper-annotate-as-pure@npm:^7.22.5":
   version: 7.22.5
   resolution: "@babel/helper-annotate-as-pure@npm:7.22.5"
@@ -6569,6 +6611,19 @@ __metadata:
   languageName: node
   linkType: hard
 
+"@babel/helper-compilation-targets@npm:^7.25.2":
+  version: 7.25.2
+  resolution: "@babel/helper-compilation-targets@npm:7.25.2"
+  dependencies:
+    "@babel/compat-data": ^7.25.2
+    "@babel/helper-validator-option": ^7.24.8
+    browserslist: ^4.23.1
+    lru-cache: ^5.1.1
+    semver: ^6.3.1
+  checksum: aed33c5496cb9db4b5e2d44e26bf8bc474074cc7f7bb5ebe1d4a20fdeb362cb3ba9e1596ca18c7484bcd6e5c3a155ab975e420d520c0ae60df81f9de04d0fd16
+  languageName: node
+  linkType: hard
+
 "@babel/helper-create-class-features-plugin@npm:^7.22.11, @babel/helper-create-class-features-plugin@npm:^7.22.15, @babel/helper-create-class-features-plugin@npm:^7.22.5":
   version: 7.22.15
   resolution: "@babel/helper-create-class-features-plugin@npm:7.22.15"
@@ -6764,6 +6819,20 @@ __metadata:
   languageName: node
   linkType: hard
 
+"@babel/helper-module-transforms@npm:^7.25.2":
+  version: 7.25.2
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+
 "@jest/types@npm:^27.5.1":
   version: 27.5.1
   resolution: "@jest/types@npm:27.5.1"
@@ -10841,7 +11072,7 @@ __metadata:
   languageName: node
   linkType: hard
 
-"@jridgewell/trace-mapping@npm:^0.3.24, @jridgewell/trace-mapping@npm:^0.3.25":
+"@jridgewell/trace-mapping@npm:^0.3.18, @jridgewell/trace-mapping@npm:^0.3.24, @jridgewell/trace-mapping@npm:^0.3.25":
   version: 0.3.25
   resolution: "@jridgewell/trace-mapping@npm:0.3.25"
   dependencies:
@@ -10881,14 +11112,27 @@ __metadata:
   languageName: node
   linkType: hard
 
-"@langchain/anthropic@^0.2.8, @langchain/anthropic@workspace:*, @langchain/anthropic@workspace:libs/langchain-anthropic":
+"@langchain/anthropic@npm:^0.2.8":
+  version: 0.2.17
+  resolution: "@langchain/anthropic@npm:0.2.17"
+  dependencies:
+    "@anthropic-ai/sdk": ^0.25.2
+    "@langchain/core": ">=0.2.21 <0.3.0"
+    fast-xml-parser: ^4.4.1
+    zod: ^3.22.4
+    zod-to-json-schema: ^3.22.4
+  checksum: c238df1fed3834bee3054645cb363aab7b30b22c917d05731abac4af5f55122b59e86797e9ed8a1a57f9ce7335e4264130f652555d5cc47727b8d274249f02f0
+  languageName: node
+  linkType: hard
+
+"@langchain/anthropic@workspace:*, @langchain/anthropic@workspace:libs/langchain-anthropic":
   version: 0.0.0-use.local
   resolution: "@langchain/anthropic@workspace:libs/langchain-anthropic"
   dependencies:
     "@anthropic-ai/sdk": ^0.25.2
     "@anthropic-ai/vertex-sdk": ^0.4.1
     "@jest/globals": ^29.5.0
-    "@langchain/core": ">=0.2.21 <0.3.0"
+    "@langchain/core": "workspace:*"
     "@langchain/scripts": ">=0.1.0 <0.2.0"
     "@langchain/standard-tests": 0.0.0
     "@swc/core": ^1.3.90
@@ -10911,6 +11155,8 @@ __metadata:
     typescript: ~5.1.6
     zod: ^3.22.4
     zod-to-json-schema: ^3.22.4
+  peerDependencies:
+    "@langchain/core": ">=0.2.21 <0.4.0 || 0.3.0-rc.0"
   languageName: unknown
   linkType: soft
 
@@ -10938,7 +11184,7 @@ __metadata:
     "@aws-sdk/credential-provider-node": ^3.600.0
     "@aws-sdk/types": ^3.609.0
     "@jest/globals": ^29.5.0
-    "@langchain/core": ">=0.2.21 <0.3.0"
+    "@langchain/core": "workspace:*"
     "@langchain/scripts": ">=0.1.0 <0.2.0"
     "@langchain/standard-tests": 0.0.0
     "@smithy/types": ^3.2.0
@@ -10964,6 +11210,8 @@ __metadata:
     typescript: <5.2.0
     zod: ^3.22.4
     zod-to-json-schema: ^3.22.5
+  peerDependencies:
+    "@langchain/core": ">=0.2.21 <0.4.0"
   languageName: unknown
   linkType: soft
 
@@ -10974,7 +11222,7 @@ __metadata:
     "@azure/cosmos": 4.0.1-beta.3
     "@azure/identity": ^4.2.0
     "@jest/globals": ^29.5.0
-    "@langchain/core": ~0.2
+    "@langchain/core": "workspace:*"
     "@langchain/openai": "workspace:^"
     "@langchain/scripts": ">=0.1.0 <0.2.0"
     "@swc/core": ^1.3.90
@@ -10998,6 +11246,8 @@ __metadata:
     rollup: ^4.5.2
     ts-jest: ^29.1.0
     typescript: <5.2.0
+  peerDependencies:
+    "@langchain/core": ">=0.2.21 <0.4.0"
   languageName: unknown
   linkType: soft
 
@@ -11007,7 +11257,7 @@ __metadata:
   dependencies:
     "@azure/identity": ^4.2.1
     "@jest/globals": ^29.5.0
-    "@langchain/core": ~0.2
+    "@langchain/core": "workspace:*"
     "@langchain/scripts": ">=0.1.0 <0.2.0"
     "@swc/core": ^1.3.90
     "@swc/jest": ^0.2.29
@@ -11031,6 +11281,8 @@ __metadata:
     ts-jest: ^29.1.0
     typescript: <5.2.0
     uuid: ^10.0.0
+  peerDependencies:
+    "@langchain/core": ">=0.2.21 <0.4.0"
   languageName: unknown
   linkType: soft
 
@@ -11042,7 +11294,7 @@ __metadata:
     "@azure/identity": ^4.2.1
     "@azure/openai": 1.0.0-beta.11
     "@jest/globals": ^29.5.0
-    "@langchain/core": ">0.1.0 <0.3.0"
+    "@langchain/core": "workspace:*"
     "@langchain/scripts": ">=0.1.0 <0.2.0"
     "@langchain/standard-tests": 0.0.0
     "@swc/core": ^1.3.90
@@ -11064,6 +11316,8 @@ __metadata:
     typescript: ~5.1.6
     zod: ^3.22.3
     zod-to-json-schema: 3.20.3
+  peerDependencies:
+    "@langchain/core": ">=0.2.21 <0.4.0"
   languageName: unknown
   linkType: soft
 
@@ -11073,7 +11327,7 @@ __metadata:
   dependencies:
     "@baiducloud/qianfan": ^0.1.6
     "@jest/globals": ^29.5.0
-    "@langchain/core": ">0.1.56 <0.3.0"
+    "@langchain/core": "workspace:*"
     "@langchain/openai": ~0.1.0
     "@langchain/scripts": ">=0.1.0 <0.2.0"
     "@swc/core": ^1.3.90
@@ -11099,6 +11353,8 @@ __metadata:
     typescript: <5.2.0
     zod: ^3.22.4
     zod-to-json-schema: ^3.22.5
+  peerDependencies:
+    "@langchain/core": ">=0.2.21 <0.4.0"
   languageName: unknown
   linkType: soft
 
@@ -11108,7 +11364,7 @@ __metadata:
   dependencies:
     "@cloudflare/workers-types": ^4.20240909.0
     "@jest/globals": ^29.5.0
-    "@langchain/core": ">0.1.0 <0.3.0"
+    "@langchain/core": "workspace:*"
     "@langchain/langgraph": ~0.0.31
     "@langchain/scripts": ">=0.1.0 <0.2.0"
     "@langchain/standard-tests": 0.0.0
@@ -11135,7 +11391,8 @@ __metadata:
     typescript: <5.2.0
     uuid: ^10.0.0
   peerDependencies:
-    "@langchain/langgraph": <0.1.0
+    "@langchain/core": ">=0.2.21 <0.4.0"
+    "@langchain/langgraph": "*"
   peerDependenciesMeta:
     "@langchain/langgraph":
       optional: true
@@ -11147,7 +11404,7 @@ __metadata:
   resolution: "@langchain/cohere@workspace:libs/langchain-cohere"
   dependencies:
     "@jest/globals": ^29.5.0
-    "@langchain/core": ">=0.2.21 <0.3.0"
+    "@langchain/core": "workspace:*"
     "@langchain/scripts": ">=0.1.0 <0.2.0"
     "@langchain/standard-tests": 0.0.0
     "@swc/core": ^1.3.90
@@ -11175,6 +11432,8 @@ __metadata:
     uuid: ^10.0.0
     zod: ^3.23.8
     zod-to-json-schema: ^3.23.1
+  peerDependencies:
+    "@langchain/core": ">=0.2.21 <0.4.0"
   languageName: unknown
   linkType: soft
 
@@ -11213,9 +11472,9 @@ __metadata:
     "@gradientai/nodejs-sdk": ^1.2.0
     "@huggingface/inference": ^2.6.4
     "@jest/globals": ^29.5.0
-    "@langchain/core": ">=0.2.21 <0.3.0"
+    "@langchain/core": "workspace:*"
     "@langchain/langgraph": ~0.0.26
-    "@langchain/openai": ">=0.2.0 <0.3.0"
+    "@langchain/openai": ">=0.2.0 <0.3.0 || 0.3.0-rc.0"
     "@langchain/scripts": ">=0.1.0 <0.2.0"
     "@langchain/standard-tests": 0.0.0
     "@layerup/layerup-security": ^1.5.12
@@ -11246,6 +11505,7 @@ __metadata:
     "@tsconfig/recommended": ^1.0.2
     "@types/better-sqlite3": ^7.6.10
     "@types/crypto-js": ^4.2.2
+    "@types/d3-dsv": ^3.0.7
     "@types/flat": ^5.0.2
     "@types/html-to-text": ^9
     "@types/jsdom": ^21.1.1
@@ -11317,7 +11577,7 @@ __metadata:
     js-yaml: ^4.1.0
     jsdom: ^22.1.0
     jsonwebtoken: ^9.0.2
-    langchain: ~0.2.3
+    langchain: ~0.2.3 || 0.3.0-rc.0
     langsmith: ~0.1.30
     llmonitor: ^0.5.9
     lodash: ^4.17.21
@@ -11337,6 +11597,7 @@ __metadata:
     portkey-ai: ^0.1.11
     prettier: ^2.8.3
     puppeteer: ^22.0.0
+    pyodide: ^0.26.2
     redis: ^4.6.6
     release-it: ^17.6.0
     replicate: ^0.29.4
@@ -11385,6 +11646,7 @@ __metadata:
     "@google-cloud/storage": ^6.10.1 || ^7.7.0
     "@gradientai/nodejs-sdk": ^1.2.0
     "@huggingface/inference": ^2.6.4
+    "@langchain/core": ">=0.2.21 <0.4.0 || 0.3.0-rc.0"
     "@langchain/langgraph": "*"
     "@layerup/layerup-security": ^1.5.12
     "@mendable/firecrawl-js": ^0.0.13
@@ -11465,6 +11727,7 @@ __metadata:
     playwright: ^1.32.1
     portkey-ai: ^0.1.11
     puppeteer: "*"
+    pyodide: ">=0.24.1 <0.27.0"
     redis: "*"
     replicate: ^0.29.4
     sonix-speech-recognition: ^2.1.1
@@ -11694,6 +11957,8 @@ __metadata:
       optional: true
     puppeteer:
       optional: true
+    pyodide:
+      optional: true
     redis:
       optional: true
     replicate:
@@ -11771,7 +12036,7 @@ __metadata:
   resolution: "@langchain/exa@workspace:libs/langchain-exa"
   dependencies:
     "@jest/globals": ^29.5.0
-    "@langchain/core": ">0.1.0 <0.3.0"
+    "@langchain/core": "workspace:*"
     "@langchain/scripts": ">=0.1.0 <0.2.0"
     "@swc/core": ^1.3.90
     "@swc/jest": ^0.2.29
@@ -11795,6 +12060,8 @@ __metadata:
     rollup: ^4.5.2
     ts-jest: ^29.1.0
     typescript: <5.2.0
+  peerDependencies:
+    "@langchain/core": ">=0.2.21 <0.4.0"
   languageName: unknown
   linkType: soft
 
@@ -11803,7 +12070,7 @@ __metadata:
   resolution: "@langchain/google-common@workspace:libs/langchain-google-common"
   dependencies:
     "@jest/globals": ^29.5.0
-    "@langchain/core": ">=0.2.21 <0.3.0"
+    "@langchain/core": "workspace:*"
     "@langchain/scripts": ">=0.1.0 <0.2.0"
     "@swc/core": ^1.3.90
     "@swc/jest": ^0.2.29
@@ -11828,6 +12095,8 @@ __metadata:
     uuid: ^10.0.0
     zod: ^3.22.4
     zod-to-json-schema: ^3.22.4
+  peerDependencies:
+    "@langchain/core": ">=0.2.21 <0.4.0"
   languageName: unknown
   linkType: soft
 
@@ -11836,7 +12105,7 @@ __metadata:
   resolution: "@langchain/google-gauth@workspace:libs/langchain-google-gauth"
   dependencies:
     "@jest/globals": ^29.5.0
-    "@langchain/core": ">=0.2.21 <0.3.0"
+    "@langchain/core": "workspace:*"
     "@langchain/google-common": ~0.0.27
     "@langchain/scripts": ">=0.1.0 <0.2.0"
     "@swc/core": ^1.3.90
@@ -11861,6 +12130,8 @@ __metadata:
     ts-jest: ^29.1.0
     typescript: <5.2.0
     zod: ^3.22.4
+  peerDependencies:
+    "@langchain/core": ">=0.2.21 <0.4.0"
   languageName: unknown
   linkType: soft
 
@@ -11870,7 +12141,7 @@ __metadata:
   dependencies:
     "@google/generative-ai": ^0.7.0
     "@jest/globals": ^29.5.0
-    "@langchain/core": ">=0.2.21 <0.3.0"
+    "@langchain/core": "workspace:*"
     "@langchain/scripts": ">=0.1.0 <0.2.0"
     "@langchain/standard-tests": 0.0.0
     "@swc/core": ^1.3.90
@@ -11896,6 +12167,8 @@ __metadata:
     typescript: <5.2.0
     zod: ^3.22.4
     zod-to-json-schema: ^3.22.4
+  peerDependencies:
+    "@langchain/core": ">=0.2.21 <0.4.0"
   languageName: unknown
   linkType: soft
 
@@ -11904,7 +12177,7 @@ __metadata:
   resolution: "@langchain/google-vertexai-web@workspace:libs/langchain-google-vertexai-web"
   dependencies:
     "@jest/globals": ^29.5.0
-    "@langchain/core": ">=0.2.21 <0.3.0"
+    "@langchain/core": "workspace:*"
     "@langchain/google-common": ^0.0.27
     "@langchain/google-webauth": ~0.0.27
     "@langchain/scripts": ">=0.1.0 <0.2.0"
@@ -11930,6 +12203,8 @@ __metadata:
     ts-jest: ^29.1.0
     typescript: <5.2.0
     zod: ^3.22.4
+  peerDependencies:
+    "@langchain/core": ">=0.2.21 <0.4.0"
   languageName: unknown
   linkType: soft
 
@@ -11938,7 +12213,7 @@ __metadata:
   resolution: "@langchain/google-vertexai@workspace:libs/langchain-google-vertexai"
   dependencies:
     "@jest/globals": ^29.5.0
-    "@langchain/core": ">=0.2.21 <0.3.0"
+    "@langchain/core": "workspace:*"
     "@langchain/google-common": ^0.0.27
     "@langchain/google-gauth": ~0.0.27
     "@langchain/scripts": ">=0.1.0 <0.2.0"
@@ -11964,6 +12239,8 @@ __metadata:
     ts-jest: ^29.1.0
     typescript: <5.2.0
     zod: ^3.22.4
+  peerDependencies:
+    "@langchain/core": ">=0.2.21 <0.4.0"
   languageName: unknown
   linkType: soft
 
@@ -11972,7 +12249,7 @@ __metadata:
   resolution: "@langchain/google-webauth@workspace:libs/langchain-google-webauth"
   dependencies:
     "@jest/globals": ^29.5.0
-    "@langchain/core": ">=0.2.21 <0.3.0"
+    "@langchain/core": "workspace:*"
     "@langchain/google-common": ~0.0.27
     "@langchain/scripts": ">=0.1.0 <0.2.0"
     "@swc/core": ^1.3.90
@@ -11997,6 +12274,8 @@ __metadata:
     typescript: <5.2.0
     web-auth-library: ^1.0.3
     zod: ^3.23.8
+  peerDependencies:
+    "@langchain/core": ">=0.2.21 <0.4.0"
   languageName: unknown
   linkType: soft
 
@@ -12018,7 +12297,7 @@ __metadata:
   resolution: "@langchain/groq@workspace:libs/langchain-groq"
   dependencies:
     "@jest/globals": ^29.5.0
-    "@langchain/core": ">=0.2.21 <0.3.0"
+    "@langchain/core": "workspace:*"
     "@langchain/openai": "workspace:^"
     "@langchain/scripts": ">=0.1.0 <0.2.0"
     "@langchain/standard-tests": 0.0.0
@@ -12046,6 +12325,8 @@ __metadata:
     typescript: <5.2.0
     zod: ^3.22.4
     zod-to-json-schema: ^3.22.5
+  peerDependencies:
+    "@langchain/core": ">=0.2.21 <0.4.0"
   languageName: unknown
   linkType: soft
 
@@ -12115,7 +12396,7 @@ __metadata:
   resolution: "@langchain/mistralai@workspace:libs/langchain-mistralai"
   dependencies:
     "@jest/globals": ^29.5.0
-    "@langchain/core": ">=0.2.21 <0.3.0"
+    "@langchain/core": "workspace:*"
     "@langchain/scripts": ">=0.1.0 <0.2.0"
     "@langchain/standard-tests": 0.0.0
     "@mistralai/mistralai": ^1.1.0
@@ -12142,6 +12423,8 @@ __metadata:
     uuid: ^10.0.0
     zod: ^3.23.8
     zod-to-json-schema: ^3.22.4
+  peerDependencies:
+    "@langchain/core": ">=0.2.21 <0.4.0"
   languageName: unknown
   linkType: soft
 
@@ -12150,7 +12433,7 @@ __metadata:
   resolution: "@langchain/mixedbread-ai@workspace:libs/langchain-mixedbread-ai"
   dependencies:
     "@jest/globals": ^29.5.0
-    "@langchain/core": ">=0.2.5 <0.3.0"
+    "@langchain/core": "workspace:*"
     "@langchain/scripts": ">=0.1.0 <0.2.0"
     "@langchain/standard-tests": 0.0.0
     "@mixedbread-ai/sdk": ^2.2.3
@@ -12175,6 +12458,8 @@ __metadata:
     rollup: ^4.5.2
     ts-jest: ^29.1.0
     typescript: <5.2.0
+  peerDependencies:
+    "@langchain/core": ">=0.2.5 <0.4.0"
   languageName: unknown
   linkType: soft
 
@@ -12183,7 +12468,7 @@ __metadata:
   resolution: "@langchain/mongodb@workspace:libs/langchain-mongodb"
   dependencies:
     "@jest/globals": ^29.5.0
-    "@langchain/core": ">0.1.0 <0.3.0"
+    "@langchain/core": "workspace:*"
     "@langchain/openai": "workspace:*"
     "@langchain/scripts": ">=0.1.0 <0.2.0"
     "@swc/core": ^1.3.90
@@ -12209,6 +12494,8 @@ __metadata:
     ts-jest: ^29.1.0
     typescript: <5.2.0
     uuid: ^10.0.0
+  peerDependencies:
+    "@langchain/core": ">=0.2.21 <0.4.0"
   languageName: unknown
   linkType: soft
 
@@ -12217,7 +12504,7 @@ __metadata:
   resolution: "@langchain/nomic@workspace:libs/langchain-nomic"
   dependencies:
     "@jest/globals": ^29.5.0
-    "@langchain/core": ">0.1.0 <0.3.0"
+    "@langchain/core": "workspace:*"
     "@langchain/openai": "workspace:^"
     "@langchain/scripts": ">=0.1.0 <0.2.0"
     "@nomic-ai/atlas": ^0.8.0
@@ -12242,6 +12529,8 @@ __metadata:
     rollup: ^4.5.2
     ts-jest: ^29.1.0
     typescript: <5.2.0
+  peerDependencies:
+    "@langchain/core": ">=0.3.0 <0.4.0"
   languageName: unknown
   linkType: soft
 
@@ -12261,7 +12550,7 @@ __metadata:
   resolution: "@langchain/ollama@workspace:libs/langchain-ollama"
   dependencies:
     "@jest/globals": ^29.5.0
-    "@langchain/core": ">=0.2.21 <0.3.0"
+    "@langchain/core": "workspace:*"
     "@langchain/scripts": ">=0.1.0 <0.2.0"
     "@langchain/standard-tests": 0.0.0
     "@swc/core": ^1.3.90
@@ -12288,16 +12577,18 @@ __metadata:
     uuid: ^10.0.0
     zod: ^3.22.4
     zod-to-json-schema: ^3.23.0
+  peerDependencies:
+    "@langchain/core": ">=0.2.21 <0.4.0"
   languageName: unknown
   linkType: soft
 
-"@langchain/openai@>=0.1.0 <0.3.0, @langchain/openai@>=0.2.0 <0.3.0, @langchain/openai@workspace:*, @langchain/openai@workspace:^, @langchain/openai@workspace:libs/langchain-openai, @langchain/openai@~0.2.4":
+"@langchain/openai@>=0.1.0 <0.3.0 || 0.3.0-rc.0, @langchain/openai@>=0.2.0 <0.3.0 || 0.3.0-rc.0, @langchain/openai@workspace:*, @langchain/openai@workspace:^, @langchain/openai@workspace:libs/langchain-openai":
   version: 0.0.0-use.local
   resolution: "@langchain/openai@workspace:libs/langchain-openai"
   dependencies:
     "@azure/identity": ^4.2.1
     "@jest/globals": ^29.5.0
-    "@langchain/core": ">=0.2.26 <0.3.0"
+    "@langchain/core": "workspace:*"
     "@langchain/scripts": ">=0.1.0 <0.2.0"
     "@langchain/standard-tests": 0.0.0
     "@swc/core": ^1.3.90
@@ -12321,6 +12612,8 @@ __metadata:
     typescript: ~5.1.6
     zod: ^3.22.4
     zod-to-json-schema: ^3.22.3
+  peerDependencies:
+    "@langchain/core": ">=0.2.26 <0.4.0 || 0.3.0-rc.0"
   languageName: unknown
   linkType: soft
 
@@ -12337,13 +12630,26 @@ __metadata:
   languageName: node
   linkType: hard
 
+"@langchain/openai@npm:~0.2.4":
+  version: 0.2.10
+  resolution: "@langchain/openai@npm:0.2.10"
+  dependencies:
+    "@langchain/core": ">=0.2.26 <0.3.0"
+    js-tiktoken: ^1.0.12
+    openai: ^4.57.3
+    zod: ^3.22.4
+    zod-to-json-schema: ^3.22.3
+  checksum: ebaef6c95ebbc467f66ca844cecfadc3e911697a25a4020aa9c461a3ee70cbffd749fa5ee2017f995cecd1b3b2dacc5c5436c34830cbef93fa77874c5b130290
+  languageName: node
+  linkType: hard
+
 "@langchain/pinecone@workspace:*, @langchain/pinecone@workspace:libs/langchain-pinecone":
   version: 0.0.0-use.local
   resolution: "@langchain/pinecone@workspace:libs/langchain-pinecone"
   dependencies:
     "@faker-js/faker": ^8.3.1
     "@jest/globals": ^29.5.0
-    "@langchain/core": ">0.2.0 <0.3.0"
+    "@langchain/core": "workspace:*"
     "@langchain/openai": "workspace:*"
     "@langchain/scripts": ">=0.1.0 <0.2.0"
     "@pinecone-database/pinecone": ^3.0.0
@@ -12370,6 +12676,8 @@ __metadata:
     ts-jest: ^29.1.0
     typescript: <5.2.0
     uuid: ^10.0.0
+  peerDependencies:
+    "@langchain/core": ">=0.2.21 <0.4.0"
   languageName: unknown
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-    "@jest/test-result": ^29.5.0
-    "@jest/types": ^29.5.0
+    "@jest/test-result": ^29.7.0
+    "@jest/types": ^29.6.3
     "@types/node": "*"
     ansi-escapes: ^4.2.1
     chalk: ^4.0.0
     emittery: ^0.13.1
-    jest-util: ^29.5.0
+    jest-util: ^29.7.0
     string-length: ^4.0.1
-  checksum: 62303ac7bdc7e61a8b4239a239d018f7527739da2b2be6a81a7be25b74ca769f1c43ee8558ce8e72bb857245c46d6e03af331227ffb00a57280abb2a928aa776
+  checksum: 67e6e7fe695416deff96b93a14a561a6db69389a0667e9489f24485bb85e5b54e12f3b2ba511ec0b777eca1e727235b073e3ebcdd473d68888650489f88df92f
   languageName: node
   linkType: hard
 
@@ -31618,7 +32120,7 @@ __metadata:
   languageName: node
   linkType: hard
 
-"jest-worker@npm:^29.1.2":
+"jest-worker@npm:^29.1.2, jest-worker@npm:^29.7.0":
   version: 29.7.0
   resolution: "jest-worker@npm:29.7.0"
   dependencies:
@@ -31643,13 +32145,13 @@ __metadata:
   linkType: hard
 
 "jest@npm:^29.5.0":
-  version: 29.5.0
-  resolution: "jest@npm:29.5.0"
+  version: 29.7.0
+  resolution: "jest@npm:29.7.0"
   dependencies:
-    "@jest/core": ^29.5.0
-    "@jest/types": ^29.5.0
+    "@jest/core": ^29.7.0
+    "@jest/types": ^29.6.3
     import-local: ^3.0.2
-    jest-cli: ^29.5.0
+    jest-cli: ^29.7.0
   peerDependencies:
     node-notifier: ^8.0.1 || ^9.0.0 || ^10.0.0
   peerDependenciesMeta:
@@ -31657,7 +32159,7 @@ __metadata:
       optional: true
   bin:
     jest: bin/jest.js
-  checksum: a8ff2eb0f421623412236e23cbe67c638127fffde466cba9606bc0c0553b4c1e5cb116d7e0ef990b5d1712851652c8ee461373b578df50857fe635b94ff455d5
+  checksum: 17ca8d67504a7dbb1998cf3c3077ec9031ba3eb512da8d71cb91bcabb2b8995c4e4b292b740cb9bf1cbff5ce3e110b3f7c777b0cefb6f41ab05445f248d0ee0b
   languageName: node
   linkType: hard
 
@@ -32201,65 +32703,39 @@ __metadata:
   languageName: node
   linkType: hard
 
-"langchain@workspace:*, langchain@workspace:langchain, langchain@~0.2.3":
+"langchain@workspace:*, langchain@workspace:langchain, langchain@~0.2.3 || 0.3.0-rc.0":
   version: 0.0.0-use.local
   resolution: "langchain@workspace:langchain"
   dependencies:
-    "@aws-sdk/client-s3": ^3.310.0
-    "@aws-sdk/client-sagemaker-runtime": ^3.414.0
-    "@aws-sdk/client-sfn": ^3.362.0
-    "@aws-sdk/credential-provider-node": ^3.388.0
-    "@aws-sdk/types": ^3.357.0
-    "@azure/storage-blob": ^12.15.0
-    "@browserbasehq/sdk": ^1.1.5
-    "@cloudflare/workers-types": ^4.20240909.0
     "@faker-js/faker": ^7.6.0
-    "@gomomento/sdk": ^1.51.1
-    "@gomomento/sdk-core": ^1.51.1
     "@jest/globals": ^29.5.0
     "@langchain/anthropic": ^0.2.8
     "@langchain/aws": ^0.0.5
     "@langchain/cohere": ^0.2.1
-    "@langchain/core": ">=0.2.21 <0.3.0"
+    "@langchain/core": "workspace:*"
     "@langchain/google-genai": ^0.0.26
     "@langchain/google-vertexai": ~0.0
     "@langchain/groq": ^0.0.15
     "@langchain/mistralai": ^0.0.26
     "@langchain/ollama": ^0.0.2
-    "@langchain/openai": ">=0.1.0 <0.3.0"
+    "@langchain/openai": ">=0.1.0 <0.3.0 || 0.3.0-rc.0"
     "@langchain/scripts": ">=0.1.0 <0.2.0"
-    "@langchain/textsplitters": ~0.0.0
-    "@mendable/firecrawl-js": ^0.0.13
-    "@notionhq/client": ^2.2.10
-    "@pinecone-database/pinecone": ^1.1.0
-    "@supabase/supabase-js": ^2.45.0
+    "@langchain/textsplitters": ">=0.0.0 <0.2.0 || 0.1.0-rc.0"
     "@swc/core": ^1.3.90
     "@swc/jest": ^0.2.29
     "@tsconfig/recommended": ^1.0.2
-    "@types/d3-dsv": ^2
     "@types/handlebars": ^4.1.0
     "@types/html-to-text": ^9
     "@types/js-yaml": ^4
     "@types/jsdom": ^21.1.1
-    "@types/pdf-parse": ^1.1.1
     "@types/uuid": ^9
     "@types/ws": ^8
     "@typescript-eslint/eslint-plugin": ^5.58.0
     "@typescript-eslint/parser": ^5.58.0
-    "@vercel/kv": ^0.2.3
-    "@xata.io/client": ^0.28.0
-    apify-client: ^2.7.1
-    assemblyai: ^4.6.0
     axios: ^0.26.0
-    binary-extensions: ^2.2.0
-    cheerio: ^1.0.0-rc.12
-    chromadb: ^1.5.3
-    convex: ^1.3.1
-    couchbase: ^4.3.0
-    d3-dsv: ^2.0.0
+    cheerio: 1.0.0-rc.12
     dotenv: ^16.0.3
     dpdm: ^3.12.0
-    epub2: ^3.0.1
     eslint: ^8.33.0
     eslint-config-airbnb-base: ^15.0.0
     eslint-config-prettier: ^8.6.0
@@ -32267,128 +32743,46 @@ __metadata:
     eslint-plugin-jest: ^27.6.0
     eslint-plugin-no-instanceof: ^1.0.1
     eslint-plugin-prettier: ^4.2.1
-    fast-xml-parser: ^4.4.1
     handlebars: ^4.7.8
-    html-to-text: ^9.0.5
-    ignore: ^5.2.0
-    ioredis: ^5.3.2
     jest: ^29.5.0
     jest-environment-node: ^29.6.4
     js-tiktoken: ^1.0.12
     js-yaml: ^4.1.0
-    jsdom: ^22.1.0
     jsonpointer: ^5.0.1
     langsmith: ~0.1.40
-    mammoth: ^1.5.1
-    mongodb: ^5.2.0
-    node-llama-cpp: 2.7.3
-    notion-to-md: ^3.1.0
-    officeparser: ^4.0.4
     openai: ^4.41.1
     openapi-types: ^12.1.3
     p-retry: 4
-    pdf-parse: 1.1.1
     peggy: ^3.0.2
-    playwright: ^1.32.1
     prettier: ^2.8.3
-    puppeteer: ^22.0.0
-    pyodide: ^0.26.2
-    redis: ^4.6.6
     release-it: ^17.6.0
     rimraf: ^5.0.1
     rollup: ^3.19.1
-    sonix-speech-recognition: ^2.1.1
-    srt-parser-2: ^1.2.3
     ts-jest: ^29.1.0
     typeorm: ^0.3.20
     typescript: ~5.1.6
     uuid: ^10.0.0
-    weaviate-ts-client: ^2.0.0
-    web-auth-library: ^1.0.3
     wikipedia: ^2.1.2
     yaml: ^2.2.1
-    youtube-transcript: ^1.0.6
-    youtubei.js: ^9.1.0
     zod: ^3.22.4
     zod-to-json-schema: ^3.22.3
   peerDependencies:
-    "@aws-sdk/client-s3": "*"
-    "@aws-sdk/client-sagemaker-runtime": "*"
-    "@aws-sdk/client-sfn": "*"
-    "@aws-sdk/credential-provider-node": "*"
-    "@azure/storage-blob": "*"
-    "@browserbasehq/sdk": "*"
-    "@gomomento/sdk": "*"
-    "@gomomento/sdk-core": "*"
-    "@gomomento/sdk-web": ^1.51.1
     "@langchain/anthropic": "*"
     "@langchain/aws": "*"
     "@langchain/cohere": "*"
     "@langchain/community": "*"
+    "@langchain/core": ">=0.2.21 <0.4.0 || 0.3.0-rc.0"
     "@langchain/google-genai": "*"
     "@langchain/google-vertexai": "*"
     "@langchain/groq": "*"
     "@langchain/mistralai": "*"
     "@langchain/ollama": "*"
-    "@mendable/firecrawl-js": "*"
-    "@notionhq/client": "*"
-    "@pinecone-database/pinecone": "*"
-    "@supabase/supabase-js": "*"
-    "@vercel/kv": "*"
-    "@xata.io/client": "*"
-    apify-client: "*"
-    assemblyai: "*"
     axios: "*"
     cheerio: "*"
-    chromadb: "*"
-    convex: "*"
-    couchbase: "*"
-    d3-dsv: "*"
-    epub2: "*"
-    fast-xml-parser: "*"
     handlebars: ^4.7.8
-    html-to-text: "*"
-    ignore: "*"
-    ioredis: "*"
-    jsdom: "*"
-    mammoth: "*"
-    mongodb: "*"
-    node-llama-cpp: "*"
-    notion-to-md: "*"
-    officeparser: "*"
-    pdf-parse: "*"
     peggy: ^3.0.2
-    playwright: "*"
-    puppeteer: "*"
-    pyodide: ">=0.24.1 <0.27.0"
-    redis: "*"
-    sonix-speech-recognition: "*"
-    srt-parser-2: "*"
     typeorm: "*"
-    weaviate-ts-client: "*"
-    web-auth-library: "*"
-    ws: "*"
-    youtube-transcript: "*"
-    youtubei.js: "*"
   peerDependenciesMeta:
-    "@aws-sdk/client-s3":
-      optional: true
-    "@aws-sdk/client-sagemaker-runtime":
-      optional: true
-    "@aws-sdk/client-sfn":
-      optional: true
-    "@aws-sdk/credential-provider-node":
-      optional: true
-    "@azure/storage-blob":
-      optional: true
-    "@browserbasehq/sdk":
-      optional: true
-    "@gomomento/sdk":
-      optional: true
-    "@gomomento/sdk-core":
-      optional: true
-    "@gomomento/sdk-web":
-      optional: true
     "@langchain/anthropic":
       optional: true
     "@langchain/aws":
@@ -32407,88 +32801,16 @@ __metadata:
       optional: true
     "@langchain/ollama":
       optional: true
-    "@mendable/firecrawl-js":
-      optional: true
-    "@notionhq/client":
-      optional: true
-    "@pinecone-database/pinecone":
-      optional: true
-    "@supabase/supabase-js":
-      optional: true
-    "@vercel/kv":
-      optional: true
-    "@xata.io/client":
-      optional: true
-    apify-client:
-      optional: true
-    assemblyai:
-      optional: true
     axios:
       optional: true
     cheerio:
       optional: true
-    chromadb:
-      optional: true
-    convex:
-      optional: true
-    couchbase:
-      optional: true
-    d3-dsv:
-      optional: true
-    epub2:
-      optional: true
-    faiss-node:
-      optional: true
-    fast-xml-parser:
-      optional: true
     handlebars:
       optional: true
-    html-to-text:
-      optional: true
-    ignore:
-      optional: true
-    ioredis:
-      optional: true
-    jsdom:
-      optional: true
-    mammoth:
-      optional: true
-    mongodb:
-      optional: true
-    node-llama-cpp:
-      optional: true
-    notion-to-md:
-      optional: true
-    officeparser:
-      optional: true
-    pdf-parse:
-      optional: true
     peggy:
       optional: true
-    playwright:
-      optional: true
-    puppeteer:
-      optional: true
-    pyodide:
-      optional: true
-    redis:
-      optional: true
-    sonix-speech-recognition:
-      optional: true
-    srt-parser-2:
-      optional: true
     typeorm:
       optional: true
-    weaviate-ts-client:
-      optional: true
-    web-auth-library:
-      optional: true
-    ws:
-      optional: true
-    youtube-transcript:
-      optional: true
-    youtubei.js:
-      optional: true
   languageName: unknown
   linkType: soft
 
@@ -33401,25 +33723,6 @@ __metadata:
   languageName: node
   linkType: hard
 
-"mammoth@npm:^1.5.1":
-  version: 1.5.1
-  resolution: "mammoth@npm:1.5.1"
-  dependencies:
-    argparse: ~1.0.3
-    bluebird: ~3.4.0
-    dingbat-to-unicode: ^1.0.1
-    jszip: ^3.7.1
-    lop: ^0.4.1
-    path-is-absolute: ^1.0.0
-    sax: ~1.1.1
-    underscore: ^1.13.1
-    xmlbuilder: ^10.0.0
-  bin:
-    mammoth: bin/mammoth
-  checksum: a780a80fd87c812de3d882fa8aa7bf54d59854bbe7195ccf90e3b63ef901de3a9e7ca664d7367ae5b638a9d8feb1376c6de9026a671a2f38e049297e0d9b41a4
-  languageName: node
-  linkType: hard
-
 "mammoth@npm:^1.6.0":
   version: 1.7.1
   resolution: "mammoth@npm:1.7.1"
@@ -34709,6 +35012,13 @@ __metadata:
   languageName: node
   linkType: hard
 
+"node-releases@npm:^2.0.18":
+  version: 2.0.18
+  resolution: "node-releases@npm:2.0.18"
+  checksum: ef55a3d853e1269a6d6279b7692cd6ff3e40bc74947945101138745bfdc9a5edabfe72cb19a31a8e45752e1910c4c65c77d931866af6357f242b172b7283f5b3
+  languageName: node
+  linkType: hard
+
 "node-releases@npm:^2.0.8":
   version: 2.0.10
   resolution: "node-releases@npm:2.0.10"
@@ -36144,6 +36454,13 @@ __metadata:
   languageName: node
   linkType: hard
 
+"picocolors@npm:^1.0.1":
+  version: 1.1.0
+  resolution: "picocolors@npm:1.1.0"
+  checksum: a64d653d3a188119ff45781dfcdaeedd7625583f45280aea33fcb032c7a0d3959f2368f9b192ad5e8aade75b74dbd954ffe3106c158509a45e4c18ab379a2acd
+  languageName: node
+  linkType: hard
+
 "picomatch@npm:^2.0.4, picomatch@npm:^2.2.1, picomatch@npm:^2.2.3, picomatch@npm:^2.3.1":
   version: 2.3.1
   resolution: "picomatch@npm:2.3.1"
@@ -36967,6 +37284,17 @@ __metadata:
   languageName: node
   linkType: hard
 
+"pretty-format@npm:^29.7.0":
+  version: 29.7.0
+  resolution: "pretty-format@npm:29.7.0"
+  dependencies:
+    "@jest/schemas": ^29.6.3
+    ansi-styles: ^5.0.0
+    react-is: ^18.0.0
+  checksum: 032c1602383e71e9c0c02a01bbd25d6759d60e9c7cf21937dde8357aa753da348fcec5def5d1002c9678a8524d5fe099ad98861286550ef44de8808cc61e43b6
+  languageName: node
+  linkType: hard
+
 "pretty-time@npm:^1.1.0":
   version: 1.1.0
   resolution: "pretty-time@npm:1.1.0"
@@ -38809,13 +39137,6 @@ __metadata:
   languageName: node
   linkType: hard
 
-"sax@npm:~1.1.1":
-  version: 1.1.6
-  resolution: "sax@npm:1.1.6"
-  checksum: 879f18483d00f4630580fb4dc95da7d06046b1d71af1f27e33425f81d82751ab66a84eb584a462aa610f7a94de8d87416e03c708530ba76b1aa381b6828bfc9e
-  languageName: node
-  linkType: hard
-
 "saxes@npm:^6.0.0":
   version: 6.0.0
   resolution: "saxes@npm:6.0.0"
@@ -39053,7 +39374,7 @@ __metadata:
   languageName: node
   linkType: hard
 
-"semver@npm:^7.6.0, semver@npm:^7.6.2, semver@npm:^7.6.3":
+"semver@npm:^7.5.3, semver@npm:^7.6.0, semver@npm:^7.6.2, semver@npm:^7.6.3":
   version: 7.6.3
   resolution: "semver@npm:7.6.3"
   bin:
@@ -42029,6 +42350,20 @@ __metadata:
   languageName: node
   linkType: hard
 
+"update-browserslist-db@npm:^1.1.0":
+  version: 1.1.0
+  resolution: "update-browserslist-db@npm:1.1.0"
+  dependencies:
+    escalade: ^3.1.2
+    picocolors: ^1.0.1
+  peerDependencies:
+    browserslist: ">= 4.21.0"
+  bin:
+    update-browserslist-db: cli.js
+  checksum: 7b74694d96f0c360f01b702e72353dc5a49df4fe6663d3ee4e5c628f061576cddf56af35a3a886238c01dd3d8f231b7a86a8ceaa31e7a9220ae31c1c1238e562
+  languageName: node
+  linkType: hard
+
 "update-check@npm:^1.5.4":
   version: 1.5.4
   resolution: "update-check@npm:1.5.4"

From 76a63e2528451aaa9db93a1612d01f96165c7a74 Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Fri, 13 Sep 2024 13:47:06 -0700
Subject: [PATCH 173/344] chore(core): Release 0.3.0 (#6760)

---
 langchain-core/package.json | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/langchain-core/package.json b/langchain-core/package.json
index c8dd65d5d21b..bf070eca71ff 100644
--- a/langchain-core/package.json
+++ b/langchain-core/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/core",
-  "version": "0.3.0-rc.0",
+  "version": "0.3.0",
   "description": "Core LangChain.js abstractions and schemas",
   "type": "module",
   "engines": {

From 9f0f12154ca775748a6e8a0f37b415668c4490fb Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Fri, 13 Sep 2024 13:53:32 -0700
Subject: [PATCH 174/344] chore(deps): Update deps for 0.3.0 (#6761)

---
 langchain/package.json                    |   6 +-
 libs/langchain-anthropic/package.json     |   2 +-
 libs/langchain-community/package.json     |   6 +-
 libs/langchain-openai/package.json        |   2 +-
 libs/langchain-textsplitters/package.json |   2 +-
 libs/langchain-weaviate/package.json      |   2 +-
 yarn.lock                                 | 301 +++++++++++++++++++---
 7 files changed, 272 insertions(+), 49 deletions(-)

diff --git a/langchain/package.json b/langchain/package.json
index c0b100f1330d..4f286b4d23b0 100644
--- a/langchain/package.json
+++ b/langchain/package.json
@@ -462,7 +462,7 @@
     "@langchain/aws": "*",
     "@langchain/cohere": "*",
     "@langchain/community": "*",
-    "@langchain/core": ">=0.2.21 <0.4.0 || 0.3.0-rc.0",
+    "@langchain/core": ">=0.2.21 <0.4.0",
     "@langchain/google-genai": "*",
     "@langchain/google-vertexai": "*",
     "@langchain/groq": "*",
@@ -519,8 +519,8 @@
     }
   },
   "dependencies": {
-    "@langchain/openai": ">=0.1.0 <0.3.0 || 0.3.0-rc.0",
-    "@langchain/textsplitters": ">=0.0.0 <0.2.0 || 0.1.0-rc.0",
+    "@langchain/openai": ">=0.1.0 <0.4.0",
+    "@langchain/textsplitters": ">=0.0.0 <0.2.0",
     "js-tiktoken": "^1.0.12",
     "js-yaml": "^4.1.0",
     "jsonpointer": "^5.0.1",
diff --git a/libs/langchain-anthropic/package.json b/libs/langchain-anthropic/package.json
index a915a4346f94..926d198d7fa5 100644
--- a/libs/langchain-anthropic/package.json
+++ b/libs/langchain-anthropic/package.json
@@ -41,7 +41,7 @@
     "zod-to-json-schema": "^3.22.4"
   },
   "peerDependencies": {
-    "@langchain/core": ">=0.2.21 <0.4.0 || 0.3.0-rc.0"
+    "@langchain/core": ">=0.2.21 <0.4.0"
   },
   "devDependencies": {
     "@anthropic-ai/vertex-sdk": "^0.4.1",
diff --git a/libs/langchain-community/package.json b/libs/langchain-community/package.json
index 837991e87e7d..d25ffcfeebf5 100644
--- a/libs/langchain-community/package.json
+++ b/libs/langchain-community/package.json
@@ -35,12 +35,12 @@
   "author": "LangChain",
   "license": "MIT",
   "dependencies": {
-    "@langchain/openai": ">=0.2.0 <0.3.0 || 0.3.0-rc.0",
+    "@langchain/openai": ">=0.2.0 <0.4.0",
     "binary-extensions": "^2.2.0",
     "expr-eval": "^2.0.2",
     "flat": "^5.0.2",
     "js-yaml": "^4.1.0",
-    "langchain": "~0.2.3 || 0.3.0-rc.0",
+    "langchain": ">=0.2.3 <0.4.0",
     "langsmith": "~0.1.30",
     "uuid": "^10.0.0",
     "zod": "^3.22.3",
@@ -243,7 +243,7 @@
     "@google-cloud/storage": "^6.10.1 || ^7.7.0",
     "@gradientai/nodejs-sdk": "^1.2.0",
     "@huggingface/inference": "^2.6.4",
-    "@langchain/core": ">=0.2.21 <0.4.0 || 0.3.0-rc.0",
+    "@langchain/core": ">=0.2.21 <0.4.0",
     "@langchain/langgraph": "*",
     "@layerup/layerup-security": "^1.5.12",
     "@mendable/firecrawl-js": "^0.0.13",
diff --git a/libs/langchain-openai/package.json b/libs/langchain-openai/package.json
index bbffc87a332b..29ab066ee93e 100644
--- a/libs/langchain-openai/package.json
+++ b/libs/langchain-openai/package.json
@@ -41,7 +41,7 @@
     "zod-to-json-schema": "^3.22.3"
   },
   "peerDependencies": {
-    "@langchain/core": ">=0.2.26 <0.4.0 || 0.3.0-rc.0"
+    "@langchain/core": ">=0.2.26 <0.4.0"
   },
   "devDependencies": {
     "@azure/identity": "^4.2.1",
diff --git a/libs/langchain-textsplitters/package.json b/libs/langchain-textsplitters/package.json
index 8896897df09a..a1070f672ad5 100644
--- a/libs/langchain-textsplitters/package.json
+++ b/libs/langchain-textsplitters/package.json
@@ -35,7 +35,7 @@
     "js-tiktoken": "^1.0.12"
   },
   "peerDependencies": {
-    "@langchain/core": ">=0.2.21 <0.4.0 || 0.3.0-rc.0"
+    "@langchain/core": ">=0.2.21 <0.4.0"
   },
   "devDependencies": {
     "@jest/globals": "^29.5.0",
diff --git a/libs/langchain-weaviate/package.json b/libs/langchain-weaviate/package.json
index d4b237aa34e8..1d33624a21cb 100644
--- a/libs/langchain-weaviate/package.json
+++ b/libs/langchain-weaviate/package.json
@@ -36,7 +36,7 @@
     "weaviate-ts-client": "^2.0.0"
   },
   "peerDependencies": {
-    "@langchain/core": ">=0.2.21 <0.4.0 || 0.3.0-rc.0"
+    "@langchain/core": ">=0.2.21 <0.4.0"
   },
   "devDependencies": {
     "@jest/globals": "^29.5.0",
diff --git a/yarn.lock b/yarn.lock
index 078508e3e4b9..af778b9b876c 100644
--- a/yarn.lock
+++ b/yarn.lock
@@ -11156,7 +11156,7 @@ __metadata:
     zod: ^3.22.4
     zod-to-json-schema: ^3.22.4
   peerDependencies:
-    "@langchain/core": ">=0.2.21 <0.4.0 || 0.3.0-rc.0"
+    "@langchain/core": ">=0.2.21 <0.4.0"
   languageName: unknown
   linkType: soft
 
@@ -11474,7 +11474,7 @@ __metadata:
     "@jest/globals": ^29.5.0
     "@langchain/core": "workspace:*"
     "@langchain/langgraph": ~0.0.26
-    "@langchain/openai": ">=0.2.0 <0.3.0 || 0.3.0-rc.0"
+    "@langchain/openai": ">=0.2.0 <0.4.0"
     "@langchain/scripts": ">=0.1.0 <0.2.0"
     "@langchain/standard-tests": 0.0.0
     "@layerup/layerup-security": ^1.5.12
@@ -11577,7 +11577,7 @@ __metadata:
     js-yaml: ^4.1.0
     jsdom: ^22.1.0
     jsonwebtoken: ^9.0.2
-    langchain: ~0.2.3 || 0.3.0-rc.0
+    langchain: ">=0.2.3 <0.4.0"
     langsmith: ~0.1.30
     llmonitor: ^0.5.9
     lodash: ^4.17.21
@@ -11646,7 +11646,7 @@ __metadata:
     "@google-cloud/storage": ^6.10.1 || ^7.7.0
     "@gradientai/nodejs-sdk": ^1.2.0
     "@huggingface/inference": ^2.6.4
-    "@langchain/core": ">=0.2.21 <0.4.0 || 0.3.0-rc.0"
+    "@langchain/core": ">=0.2.21 <0.4.0"
     "@langchain/langgraph": "*"
     "@layerup/layerup-security": ^1.5.12
     "@mendable/firecrawl-js": ^0.0.13
@@ -12582,7 +12582,46 @@ __metadata:
   languageName: unknown
   linkType: soft
 
-"@langchain/openai@>=0.1.0 <0.3.0 || 0.3.0-rc.0, @langchain/openai@>=0.2.0 <0.3.0 || 0.3.0-rc.0, @langchain/openai@workspace:*, @langchain/openai@workspace:^, @langchain/openai@workspace:libs/langchain-openai":
+"@langchain/openai@npm:>=0.1.0 <0.3.0, @langchain/openai@npm:>=0.1.0 <0.4.0, @langchain/openai@npm:>=0.2.0 <0.4.0":
+  version: 0.2.11
+  resolution: "@langchain/openai@npm:0.2.11"
+  dependencies:
+    "@langchain/core": ">=0.2.26 <0.3.0"
+    js-tiktoken: ^1.0.12
+    openai: ^4.57.3
+    zod: ^3.22.4
+    zod-to-json-schema: ^3.22.3
+  checksum: afd192901ff5996008f5d2988ceba09847701b9832503ca0b75c4ba919d3df1be547571c78c8e024aef29ba592e4d4c6f7e16bcb487f21077667ec311da7cd55
+  languageName: node
+  linkType: hard
+
+"@langchain/openai@npm:~0.1.0":
+  version: 0.1.3
+  resolution: "@langchain/openai@npm:0.1.3"
+  dependencies:
+    "@langchain/core": ">=0.2.5 <0.3.0"
+    js-tiktoken: ^1.0.12
+    openai: ^4.49.1
+    zod: ^3.22.4
+    zod-to-json-schema: ^3.22.3
+  checksum: 43aaafad2e1416bc23846c6c5084502025d3972c0b11b2ef2bcefd9da3dc1cd933cdf838c596404584af024adccc26e34476fededed0e614a19b47a4e5a8c8e5
+  languageName: node
+  linkType: hard
+
+"@langchain/openai@npm:~0.2.4":
+  version: 0.2.10
+  resolution: "@langchain/openai@npm:0.2.10"
+  dependencies:
+    "@langchain/core": ">=0.2.26 <0.3.0"
+    js-tiktoken: ^1.0.12
+    openai: ^4.57.3
+    zod: ^3.22.4
+    zod-to-json-schema: ^3.22.3
+  checksum: ebaef6c95ebbc467f66ca844cecfadc3e911697a25a4020aa9c461a3ee70cbffd749fa5ee2017f995cecd1b3b2dacc5c5436c34830cbef93fa77874c5b130290
+  languageName: node
+  linkType: hard
+
+"@langchain/openai@workspace:*, @langchain/openai@workspace:^, @langchain/openai@workspace:libs/langchain-openai":
   version: 0.0.0-use.local
   resolution: "@langchain/openai@workspace:libs/langchain-openai"
   dependencies:
@@ -12613,36 +12652,10 @@ __metadata:
     zod: ^3.22.4
     zod-to-json-schema: ^3.22.3
   peerDependencies:
-    "@langchain/core": ">=0.2.26 <0.4.0 || 0.3.0-rc.0"
+    "@langchain/core": ">=0.2.26 <0.4.0"
   languageName: unknown
   linkType: soft
 
-"@langchain/openai@npm:~0.1.0":
-  version: 0.1.3
-  resolution: "@langchain/openai@npm:0.1.3"
-  dependencies:
-    "@langchain/core": ">=0.2.5 <0.3.0"
-    js-tiktoken: ^1.0.12
-    openai: ^4.49.1
-    zod: ^3.22.4
-    zod-to-json-schema: ^3.22.3
-  checksum: 43aaafad2e1416bc23846c6c5084502025d3972c0b11b2ef2bcefd9da3dc1cd933cdf838c596404584af024adccc26e34476fededed0e614a19b47a4e5a8c8e5
-  languageName: node
-  linkType: hard
-
-"@langchain/openai@npm:~0.2.4":
-  version: 0.2.10
-  resolution: "@langchain/openai@npm:0.2.10"
-  dependencies:
-    "@langchain/core": ">=0.2.26 <0.3.0"
-    js-tiktoken: ^1.0.12
-    openai: ^4.57.3
-    zod: ^3.22.4
-    zod-to-json-schema: ^3.22.3
-  checksum: ebaef6c95ebbc467f66ca844cecfadc3e911697a25a4020aa9c461a3ee70cbffd749fa5ee2017f995cecd1b3b2dacc5c5436c34830cbef93fa77874c5b130290
-  languageName: node
-  linkType: hard
-
 "@langchain/pinecone@workspace:*, @langchain/pinecone@workspace:libs/langchain-pinecone":
   version: 0.0.0-use.local
   resolution: "@langchain/pinecone@workspace:libs/langchain-pinecone"
@@ -12828,7 +12841,17 @@ __metadata:
   languageName: unknown
   linkType: soft
 
-"@langchain/textsplitters@>=0.0.0 <0.2.0 || 0.1.0-rc.0, @langchain/textsplitters@workspace:*, @langchain/textsplitters@workspace:libs/langchain-textsplitters":
+"@langchain/textsplitters@npm:>=0.0.0 <0.2.0, @langchain/textsplitters@npm:~0.0.0":
+  version: 0.0.3
+  resolution: "@langchain/textsplitters@npm:0.0.3"
+  dependencies:
+    "@langchain/core": ">0.2.0 <0.3.0"
+    js-tiktoken: ^1.0.12
+  checksum: f0b32d65c863a280ce7104bff4d367734b8f76f2ec42b741fb690fbc20737bb4a3a412b82d8ba308a524441b6084ecd59cf61c3ce13cbb9639fbd02241c341d1
+  languageName: node
+  linkType: hard
+
+"@langchain/textsplitters@workspace:*, @langchain/textsplitters@workspace:libs/langchain-textsplitters":
   version: 0.0.0-use.local
   resolution: "@langchain/textsplitters@workspace:libs/langchain-textsplitters"
   dependencies:
@@ -12857,7 +12880,7 @@ __metadata:
     ts-jest: ^29.1.0
     typescript: <5.2.0
   peerDependencies:
-    "@langchain/core": ">=0.2.21 <0.4.0 || 0.3.0-rc.0"
+    "@langchain/core": ">=0.2.21 <0.4.0"
   languageName: unknown
   linkType: soft
 
@@ -12894,7 +12917,7 @@ __metadata:
     uuid: ^10.0.0
     weaviate-ts-client: ^2.0.0
   peerDependencies:
-    "@langchain/core": ">=0.2.21 <0.4.0 || 0.3.0-rc.0"
+    "@langchain/core": ">=0.2.21 <0.4.0"
   languageName: unknown
   linkType: soft
 
@@ -32703,7 +32726,207 @@ __metadata:
   languageName: node
   linkType: hard
 
-"langchain@workspace:*, langchain@workspace:langchain, langchain@~0.2.3 || 0.3.0-rc.0":
+"langchain@npm:>=0.2.3 <0.4.0":
+  version: 0.2.19
+  resolution: "langchain@npm:0.2.19"
+  dependencies:
+    "@langchain/core": ">=0.2.21 <0.3.0"
+    "@langchain/openai": ">=0.1.0 <0.3.0"
+    "@langchain/textsplitters": ~0.0.0
+    binary-extensions: ^2.2.0
+    js-tiktoken: ^1.0.12
+    js-yaml: ^4.1.0
+    jsonpointer: ^5.0.1
+    langsmith: ~0.1.40
+    openapi-types: ^12.1.3
+    p-retry: 4
+    uuid: ^10.0.0
+    yaml: ^2.2.1
+    zod: ^3.22.4
+    zod-to-json-schema: ^3.22.3
+  peerDependencies:
+    "@aws-sdk/client-s3": "*"
+    "@aws-sdk/client-sagemaker-runtime": "*"
+    "@aws-sdk/client-sfn": "*"
+    "@aws-sdk/credential-provider-node": "*"
+    "@azure/storage-blob": "*"
+    "@browserbasehq/sdk": "*"
+    "@gomomento/sdk": "*"
+    "@gomomento/sdk-core": "*"
+    "@gomomento/sdk-web": ^1.51.1
+    "@langchain/anthropic": "*"
+    "@langchain/aws": "*"
+    "@langchain/cohere": "*"
+    "@langchain/community": "*"
+    "@langchain/google-genai": "*"
+    "@langchain/google-vertexai": "*"
+    "@langchain/groq": "*"
+    "@langchain/mistralai": "*"
+    "@langchain/ollama": "*"
+    "@mendable/firecrawl-js": "*"
+    "@notionhq/client": "*"
+    "@pinecone-database/pinecone": "*"
+    "@supabase/supabase-js": "*"
+    "@vercel/kv": "*"
+    "@xata.io/client": "*"
+    apify-client: "*"
+    assemblyai: "*"
+    axios: "*"
+    cheerio: "*"
+    chromadb: "*"
+    convex: "*"
+    couchbase: "*"
+    d3-dsv: "*"
+    epub2: "*"
+    fast-xml-parser: "*"
+    handlebars: ^4.7.8
+    html-to-text: "*"
+    ignore: "*"
+    ioredis: "*"
+    jsdom: "*"
+    mammoth: "*"
+    mongodb: "*"
+    node-llama-cpp: "*"
+    notion-to-md: "*"
+    officeparser: "*"
+    pdf-parse: "*"
+    peggy: ^3.0.2
+    playwright: "*"
+    puppeteer: "*"
+    pyodide: ">=0.24.1 <0.27.0"
+    redis: "*"
+    sonix-speech-recognition: "*"
+    srt-parser-2: "*"
+    typeorm: "*"
+    weaviate-ts-client: "*"
+    web-auth-library: "*"
+    ws: "*"
+    youtube-transcript: "*"
+    youtubei.js: "*"
+  peerDependenciesMeta:
+    "@aws-sdk/client-s3":
+      optional: true
+    "@aws-sdk/client-sagemaker-runtime":
+      optional: true
+    "@aws-sdk/client-sfn":
+      optional: true
+    "@aws-sdk/credential-provider-node":
+      optional: true
+    "@azure/storage-blob":
+      optional: true
+    "@browserbasehq/sdk":
+      optional: true
+    "@gomomento/sdk":
+      optional: true
+    "@gomomento/sdk-core":
+      optional: true
+    "@gomomento/sdk-web":
+      optional: true
+    "@langchain/anthropic":
+      optional: true
+    "@langchain/aws":
+      optional: true
+    "@langchain/cohere":
+      optional: true
+    "@langchain/community":
+      optional: true
+    "@langchain/google-genai":
+      optional: true
+    "@langchain/google-vertexai":
+      optional: true
+    "@langchain/groq":
+      optional: true
+    "@langchain/mistralai":
+      optional: true
+    "@langchain/ollama":
+      optional: true
+    "@mendable/firecrawl-js":
+      optional: true
+    "@notionhq/client":
+      optional: true
+    "@pinecone-database/pinecone":
+      optional: true
+    "@supabase/supabase-js":
+      optional: true
+    "@vercel/kv":
+      optional: true
+    "@xata.io/client":
+      optional: true
+    apify-client:
+      optional: true
+    assemblyai:
+      optional: true
+    axios:
+      optional: true
+    cheerio:
+      optional: true
+    chromadb:
+      optional: true
+    convex:
+      optional: true
+    couchbase:
+      optional: true
+    d3-dsv:
+      optional: true
+    epub2:
+      optional: true
+    faiss-node:
+      optional: true
+    fast-xml-parser:
+      optional: true
+    handlebars:
+      optional: true
+    html-to-text:
+      optional: true
+    ignore:
+      optional: true
+    ioredis:
+      optional: true
+    jsdom:
+      optional: true
+    mammoth:
+      optional: true
+    mongodb:
+      optional: true
+    node-llama-cpp:
+      optional: true
+    notion-to-md:
+      optional: true
+    officeparser:
+      optional: true
+    pdf-parse:
+      optional: true
+    peggy:
+      optional: true
+    playwright:
+      optional: true
+    puppeteer:
+      optional: true
+    pyodide:
+      optional: true
+    redis:
+      optional: true
+    sonix-speech-recognition:
+      optional: true
+    srt-parser-2:
+      optional: true
+    typeorm:
+      optional: true
+    weaviate-ts-client:
+      optional: true
+    web-auth-library:
+      optional: true
+    ws:
+      optional: true
+    youtube-transcript:
+      optional: true
+    youtubei.js:
+      optional: true
+  checksum: 4fb49c9ba34536b87098d1b2dcd8594efcce7b7c8650cbeb1ec06c68fa6c142e45fd9e1ea56f43bc2113d6d53e1e56f320688df684b8d1fa1cef9dacbf50c091
+  languageName: node
+  linkType: hard
+
+"langchain@workspace:*, langchain@workspace:langchain":
   version: 0.0.0-use.local
   resolution: "langchain@workspace:langchain"
   dependencies:
@@ -32718,9 +32941,9 @@ __metadata:
     "@langchain/groq": ^0.0.15
     "@langchain/mistralai": ^0.0.26
     "@langchain/ollama": ^0.0.2
-    "@langchain/openai": ">=0.1.0 <0.3.0 || 0.3.0-rc.0"
+    "@langchain/openai": ">=0.1.0 <0.4.0"
     "@langchain/scripts": ">=0.1.0 <0.2.0"
-    "@langchain/textsplitters": ">=0.0.0 <0.2.0 || 0.1.0-rc.0"
+    "@langchain/textsplitters": ">=0.0.0 <0.2.0"
     "@swc/core": ^1.3.90
     "@swc/jest": ^0.2.29
     "@tsconfig/recommended": ^1.0.2
@@ -32771,7 +32994,7 @@ __metadata:
     "@langchain/aws": "*"
     "@langchain/cohere": "*"
     "@langchain/community": "*"
-    "@langchain/core": ">=0.2.21 <0.4.0 || 0.3.0-rc.0"
+    "@langchain/core": ">=0.2.21 <0.4.0"
     "@langchain/google-genai": "*"
     "@langchain/google-vertexai": "*"
     "@langchain/groq": "*"

From 065006fdbb7baa91ce6d49564e4a36505eea3b24 Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Fri, 13 Sep 2024 13:55:50 -0700
Subject: [PATCH 175/344] chore(textsplitters): Release 0.1.0 (#6762)

---
 libs/langchain-textsplitters/package.json | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/libs/langchain-textsplitters/package.json b/libs/langchain-textsplitters/package.json
index a1070f672ad5..62f4d7db6f5a 100644
--- a/libs/langchain-textsplitters/package.json
+++ b/libs/langchain-textsplitters/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/textsplitters",
-  "version": "0.1.0-rc.0",
+  "version": "0.1.0",
   "description": "Various implementations of LangChain.js text splitters",
   "type": "module",
   "engines": {

From 2850f9dc4ac4f520719cf7641bd904d5d1063d0f Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Fri, 13 Sep 2024 14:03:18 -0700
Subject: [PATCH 176/344] chore(cloudflare): Bump dep (#6763)

---
 libs/langchain-cloudflare/package.json |  2 +-
 yarn.lock                              | 22 +++++++++++-----------
 2 files changed, 12 insertions(+), 12 deletions(-)

diff --git a/libs/langchain-cloudflare/package.json b/libs/langchain-cloudflare/package.json
index 62347885519d..a2b52bdc5b1c 100644
--- a/libs/langchain-cloudflare/package.json
+++ b/libs/langchain-cloudflare/package.json
@@ -35,7 +35,7 @@
   "author": "LangChain",
   "license": "MIT",
   "dependencies": {
-    "@langchain/core": ">0.1.0 <0.3.0",
+    "@langchain/core": ">=0.2.21 <0.4.0",
     "uuid": "^10.0.0"
   },
   "devDependencies": {
diff --git a/yarn.lock b/yarn.lock
index af778b9b876c..2311698224ac 100644
--- a/yarn.lock
+++ b/yarn.lock
@@ -12841,17 +12841,7 @@ __metadata:
   languageName: unknown
   linkType: soft
 
-"@langchain/textsplitters@npm:>=0.0.0 <0.2.0, @langchain/textsplitters@npm:~0.0.0":
-  version: 0.0.3
-  resolution: "@langchain/textsplitters@npm:0.0.3"
-  dependencies:
-    "@langchain/core": ">0.2.0 <0.3.0"
-    js-tiktoken: ^1.0.12
-  checksum: f0b32d65c863a280ce7104bff4d367734b8f76f2ec42b741fb690fbc20737bb4a3a412b82d8ba308a524441b6084ecd59cf61c3ce13cbb9639fbd02241c341d1
-  languageName: node
-  linkType: hard
-
-"@langchain/textsplitters@workspace:*, @langchain/textsplitters@workspace:libs/langchain-textsplitters":
+"@langchain/textsplitters@>=0.0.0 <0.2.0, @langchain/textsplitters@workspace:*, @langchain/textsplitters@workspace:libs/langchain-textsplitters":
   version: 0.0.0-use.local
   resolution: "@langchain/textsplitters@workspace:libs/langchain-textsplitters"
   dependencies:
@@ -12884,6 +12874,16 @@ __metadata:
   languageName: unknown
   linkType: soft
 
+"@langchain/textsplitters@npm:~0.0.0":
+  version: 0.0.3
+  resolution: "@langchain/textsplitters@npm:0.0.3"
+  dependencies:
+    "@langchain/core": ">0.2.0 <0.3.0"
+    js-tiktoken: ^1.0.12
+  checksum: f0b32d65c863a280ce7104bff4d367734b8f76f2ec42b741fb690fbc20737bb4a3a412b82d8ba308a524441b6084ecd59cf61c3ce13cbb9639fbd02241c341d1
+  languageName: node
+  linkType: hard
+
 "@langchain/weaviate@workspace:*, @langchain/weaviate@workspace:libs/langchain-weaviate":
   version: 0.0.0-use.local
   resolution: "@langchain/weaviate@workspace:libs/langchain-weaviate"

From bbdec4e575fb49cd728e63221462dfe9ff880f77 Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Fri, 13 Sep 2024 14:22:36 -0700
Subject: [PATCH 177/344] chore(openai): Release 0.3.0 (#6764)

---
 libs/langchain-openai/package.json |  2 +-
 yarn.lock                          | 72 +++++++++++++++---------------
 2 files changed, 37 insertions(+), 37 deletions(-)

diff --git a/libs/langchain-openai/package.json b/libs/langchain-openai/package.json
index 29ab066ee93e..eee9e586474e 100644
--- a/libs/langchain-openai/package.json
+++ b/libs/langchain-openai/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/openai",
-  "version": "0.3.0-rc.0",
+  "version": "0.3.0",
   "description": "OpenAI integrations for LangChain.js",
   "type": "module",
   "engines": {
diff --git a/yarn.lock b/yarn.lock
index 2311698224ac..11eabb22297a 100644
--- a/yarn.lock
+++ b/yarn.lock
@@ -12582,7 +12582,42 @@ __metadata:
   languageName: unknown
   linkType: soft
 
-"@langchain/openai@npm:>=0.1.0 <0.3.0, @langchain/openai@npm:>=0.1.0 <0.4.0, @langchain/openai@npm:>=0.2.0 <0.4.0":
+"@langchain/openai@>=0.1.0 <0.4.0, @langchain/openai@>=0.2.0 <0.4.0, @langchain/openai@workspace:*, @langchain/openai@workspace:^, @langchain/openai@workspace:libs/langchain-openai":
+  version: 0.0.0-use.local
+  resolution: "@langchain/openai@workspace:libs/langchain-openai"
+  dependencies:
+    "@azure/identity": ^4.2.1
+    "@jest/globals": ^29.5.0
+    "@langchain/core": "workspace:*"
+    "@langchain/scripts": ">=0.1.0 <0.2.0"
+    "@langchain/standard-tests": 0.0.0
+    "@swc/core": ^1.3.90
+    "@swc/jest": ^0.2.29
+    dpdm: ^3.12.0
+    eslint: ^8.33.0
+    eslint-config-airbnb-base: ^15.0.0
+    eslint-config-prettier: ^8.6.0
+    eslint-plugin-import: ^2.27.5
+    eslint-plugin-jest: ^27.6.0
+    eslint-plugin-no-instanceof: ^1.0.1
+    eslint-plugin-prettier: ^4.2.1
+    jest: ^29.5.0
+    jest-environment-node: ^29.6.4
+    js-tiktoken: ^1.0.12
+    openai: ^4.57.3
+    prettier: ^2.8.3
+    release-it: ^17.6.0
+    rimraf: ^5.0.1
+    ts-jest: ^29.1.0
+    typescript: ~5.1.6
+    zod: ^3.22.4
+    zod-to-json-schema: ^3.22.3
+  peerDependencies:
+    "@langchain/core": ">=0.2.26 <0.4.0"
+  languageName: unknown
+  linkType: soft
+
+"@langchain/openai@npm:>=0.1.0 <0.3.0":
   version: 0.2.11
   resolution: "@langchain/openai@npm:0.2.11"
   dependencies:
@@ -12621,41 +12656,6 @@ __metadata:
   languageName: node
   linkType: hard
 
-"@langchain/openai@workspace:*, @langchain/openai@workspace:^, @langchain/openai@workspace:libs/langchain-openai":
-  version: 0.0.0-use.local
-  resolution: "@langchain/openai@workspace:libs/langchain-openai"
-  dependencies:
-    "@azure/identity": ^4.2.1
-    "@jest/globals": ^29.5.0
-    "@langchain/core": "workspace:*"
-    "@langchain/scripts": ">=0.1.0 <0.2.0"
-    "@langchain/standard-tests": 0.0.0
-    "@swc/core": ^1.3.90
-    "@swc/jest": ^0.2.29
-    dpdm: ^3.12.0
-    eslint: ^8.33.0
-    eslint-config-airbnb-base: ^15.0.0
-    eslint-config-prettier: ^8.6.0
-    eslint-plugin-import: ^2.27.5
-    eslint-plugin-jest: ^27.6.0
-    eslint-plugin-no-instanceof: ^1.0.1
-    eslint-plugin-prettier: ^4.2.1
-    jest: ^29.5.0
-    jest-environment-node: ^29.6.4
-    js-tiktoken: ^1.0.12
-    openai: ^4.57.3
-    prettier: ^2.8.3
-    release-it: ^17.6.0
-    rimraf: ^5.0.1
-    ts-jest: ^29.1.0
-    typescript: ~5.1.6
-    zod: ^3.22.4
-    zod-to-json-schema: ^3.22.3
-  peerDependencies:
-    "@langchain/core": ">=0.2.26 <0.4.0"
-  languageName: unknown
-  linkType: soft
-
 "@langchain/pinecone@workspace:*, @langchain/pinecone@workspace:libs/langchain-pinecone":
   version: 0.0.0-use.local
   resolution: "@langchain/pinecone@workspace:libs/langchain-pinecone"

From b3c073c3550fbc712b0ebbae809f3e0852bc555a Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Fri, 13 Sep 2024 14:25:22 -0700
Subject: [PATCH 178/344] chore(anthropic): Release 0.3.0 (#6765)

---
 libs/langchain-anthropic/package.json | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/libs/langchain-anthropic/package.json b/libs/langchain-anthropic/package.json
index 926d198d7fa5..1d8a25bb9bce 100644
--- a/libs/langchain-anthropic/package.json
+++ b/libs/langchain-anthropic/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/anthropic",
-  "version": "0.3.0-rc.0",
+  "version": "0.3.0",
   "description": "Anthropic integrations for LangChain.js",
   "type": "module",
   "engines": {

From 9503f72fe61c46f5a508ddd9be53ea132ec93711 Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Fri, 13 Sep 2024 14:29:11 -0700
Subject: [PATCH 179/344] chore(mistralai): Release 0.1.0 (#6766)

---
 libs/langchain-mistralai/package.json | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/libs/langchain-mistralai/package.json b/libs/langchain-mistralai/package.json
index 5fb5aa114931..310456f80b58 100644
--- a/libs/langchain-mistralai/package.json
+++ b/libs/langchain-mistralai/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/mistralai",
-  "version": "0.0.29",
+  "version": "0.1.0",
   "description": "MistralAI integration for LangChain.js",
   "type": "module",
   "engines": {

From 6dbef1f8c00f317e287fc2e16801fd9cea937a56 Mon Sep 17 00:00:00 2001
From: jacoblee93 <jacoblee93@gmail.com>
Date: Fri, 13 Sep 2024 14:44:06 -0700
Subject: [PATCH 180/344] chore(langchain): Release 0.3.0

---
 langchain/package.json | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/langchain/package.json b/langchain/package.json
index 4f286b4d23b0..083ec8d23b71 100644
--- a/langchain/package.json
+++ b/langchain/package.json
@@ -1,6 +1,6 @@
 {
   "name": "langchain",
-  "version": "0.3.0-rc.0",
+  "version": "0.3.0",
   "description": "Typescript bindings for langchain",
   "type": "module",
   "engines": {

From 38de1bdc0f5103075afe86137708c58596179bf4 Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Fri, 13 Sep 2024 14:46:43 -0700
Subject: [PATCH 181/344] chore(build): Update lock (#6770)

---
 yarn.lock | 225 +-----------------------------------------------------
 1 file changed, 1 insertion(+), 224 deletions(-)

diff --git a/yarn.lock b/yarn.lock
index 11eabb22297a..afe8b673205e 100644
--- a/yarn.lock
+++ b/yarn.lock
@@ -12617,19 +12617,6 @@ __metadata:
   languageName: unknown
   linkType: soft
 
-"@langchain/openai@npm:>=0.1.0 <0.3.0":
-  version: 0.2.11
-  resolution: "@langchain/openai@npm:0.2.11"
-  dependencies:
-    "@langchain/core": ">=0.2.26 <0.3.0"
-    js-tiktoken: ^1.0.12
-    openai: ^4.57.3
-    zod: ^3.22.4
-    zod-to-json-schema: ^3.22.3
-  checksum: afd192901ff5996008f5d2988ceba09847701b9832503ca0b75c4ba919d3df1be547571c78c8e024aef29ba592e4d4c6f7e16bcb487f21077667ec311da7cd55
-  languageName: node
-  linkType: hard
-
 "@langchain/openai@npm:~0.1.0":
   version: 0.1.3
   resolution: "@langchain/openai@npm:0.1.3"
@@ -12874,16 +12861,6 @@ __metadata:
   languageName: unknown
   linkType: soft
 
-"@langchain/textsplitters@npm:~0.0.0":
-  version: 0.0.3
-  resolution: "@langchain/textsplitters@npm:0.0.3"
-  dependencies:
-    "@langchain/core": ">0.2.0 <0.3.0"
-    js-tiktoken: ^1.0.12
-  checksum: f0b32d65c863a280ce7104bff4d367734b8f76f2ec42b741fb690fbc20737bb4a3a412b82d8ba308a524441b6084ecd59cf61c3ce13cbb9639fbd02241c341d1
-  languageName: node
-  linkType: hard
-
 "@langchain/weaviate@workspace:*, @langchain/weaviate@workspace:libs/langchain-weaviate":
   version: 0.0.0-use.local
   resolution: "@langchain/weaviate@workspace:libs/langchain-weaviate"
@@ -32726,207 +32703,7 @@ __metadata:
   languageName: node
   linkType: hard
 
-"langchain@npm:>=0.2.3 <0.4.0":
-  version: 0.2.19
-  resolution: "langchain@npm:0.2.19"
-  dependencies:
-    "@langchain/core": ">=0.2.21 <0.3.0"
-    "@langchain/openai": ">=0.1.0 <0.3.0"
-    "@langchain/textsplitters": ~0.0.0
-    binary-extensions: ^2.2.0
-    js-tiktoken: ^1.0.12
-    js-yaml: ^4.1.0
-    jsonpointer: ^5.0.1
-    langsmith: ~0.1.40
-    openapi-types: ^12.1.3
-    p-retry: 4
-    uuid: ^10.0.0
-    yaml: ^2.2.1
-    zod: ^3.22.4
-    zod-to-json-schema: ^3.22.3
-  peerDependencies:
-    "@aws-sdk/client-s3": "*"
-    "@aws-sdk/client-sagemaker-runtime": "*"
-    "@aws-sdk/client-sfn": "*"
-    "@aws-sdk/credential-provider-node": "*"
-    "@azure/storage-blob": "*"
-    "@browserbasehq/sdk": "*"
-    "@gomomento/sdk": "*"
-    "@gomomento/sdk-core": "*"
-    "@gomomento/sdk-web": ^1.51.1
-    "@langchain/anthropic": "*"
-    "@langchain/aws": "*"
-    "@langchain/cohere": "*"
-    "@langchain/community": "*"
-    "@langchain/google-genai": "*"
-    "@langchain/google-vertexai": "*"
-    "@langchain/groq": "*"
-    "@langchain/mistralai": "*"
-    "@langchain/ollama": "*"
-    "@mendable/firecrawl-js": "*"
-    "@notionhq/client": "*"
-    "@pinecone-database/pinecone": "*"
-    "@supabase/supabase-js": "*"
-    "@vercel/kv": "*"
-    "@xata.io/client": "*"
-    apify-client: "*"
-    assemblyai: "*"
-    axios: "*"
-    cheerio: "*"
-    chromadb: "*"
-    convex: "*"
-    couchbase: "*"
-    d3-dsv: "*"
-    epub2: "*"
-    fast-xml-parser: "*"
-    handlebars: ^4.7.8
-    html-to-text: "*"
-    ignore: "*"
-    ioredis: "*"
-    jsdom: "*"
-    mammoth: "*"
-    mongodb: "*"
-    node-llama-cpp: "*"
-    notion-to-md: "*"
-    officeparser: "*"
-    pdf-parse: "*"
-    peggy: ^3.0.2
-    playwright: "*"
-    puppeteer: "*"
-    pyodide: ">=0.24.1 <0.27.0"
-    redis: "*"
-    sonix-speech-recognition: "*"
-    srt-parser-2: "*"
-    typeorm: "*"
-    weaviate-ts-client: "*"
-    web-auth-library: "*"
-    ws: "*"
-    youtube-transcript: "*"
-    youtubei.js: "*"
-  peerDependenciesMeta:
-    "@aws-sdk/client-s3":
-      optional: true
-    "@aws-sdk/client-sagemaker-runtime":
-      optional: true
-    "@aws-sdk/client-sfn":
-      optional: true
-    "@aws-sdk/credential-provider-node":
-      optional: true
-    "@azure/storage-blob":
-      optional: true
-    "@browserbasehq/sdk":
-      optional: true
-    "@gomomento/sdk":
-      optional: true
-    "@gomomento/sdk-core":
-      optional: true
-    "@gomomento/sdk-web":
-      optional: true
-    "@langchain/anthropic":
-      optional: true
-    "@langchain/aws":
-      optional: true
-    "@langchain/cohere":
-      optional: true
-    "@langchain/community":
-      optional: true
-    "@langchain/google-genai":
-      optional: true
-    "@langchain/google-vertexai":
-      optional: true
-    "@langchain/groq":
-      optional: true
-    "@langchain/mistralai":
-      optional: true
-    "@langchain/ollama":
-      optional: true
-    "@mendable/firecrawl-js":
-      optional: true
-    "@notionhq/client":
-      optional: true
-    "@pinecone-database/pinecone":
-      optional: true
-    "@supabase/supabase-js":
-      optional: true
-    "@vercel/kv":
-      optional: true
-    "@xata.io/client":
-      optional: true
-    apify-client:
-      optional: true
-    assemblyai:
-      optional: true
-    axios:
-      optional: true
-    cheerio:
-      optional: true
-    chromadb:
-      optional: true
-    convex:
-      optional: true
-    couchbase:
-      optional: true
-    d3-dsv:
-      optional: true
-    epub2:
-      optional: true
-    faiss-node:
-      optional: true
-    fast-xml-parser:
-      optional: true
-    handlebars:
-      optional: true
-    html-to-text:
-      optional: true
-    ignore:
-      optional: true
-    ioredis:
-      optional: true
-    jsdom:
-      optional: true
-    mammoth:
-      optional: true
-    mongodb:
-      optional: true
-    node-llama-cpp:
-      optional: true
-    notion-to-md:
-      optional: true
-    officeparser:
-      optional: true
-    pdf-parse:
-      optional: true
-    peggy:
-      optional: true
-    playwright:
-      optional: true
-    puppeteer:
-      optional: true
-    pyodide:
-      optional: true
-    redis:
-      optional: true
-    sonix-speech-recognition:
-      optional: true
-    srt-parser-2:
-      optional: true
-    typeorm:
-      optional: true
-    weaviate-ts-client:
-      optional: true
-    web-auth-library:
-      optional: true
-    ws:
-      optional: true
-    youtube-transcript:
-      optional: true
-    youtubei.js:
-      optional: true
-  checksum: 4fb49c9ba34536b87098d1b2dcd8594efcce7b7c8650cbeb1ec06c68fa6c142e45fd9e1ea56f43bc2113d6d53e1e56f320688df684b8d1fa1cef9dacbf50c091
-  languageName: node
-  linkType: hard
-
-"langchain@workspace:*, langchain@workspace:langchain":
+"langchain@>=0.2.3 <0.4.0, langchain@workspace:*, langchain@workspace:langchain":
   version: 0.0.0-use.local
   resolution: "langchain@workspace:langchain"
   dependencies:

From bfbd47af34c3b30aa65f81c829f7f88a89e3b1fc Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Fri, 13 Sep 2024 15:08:04 -0700
Subject: [PATCH 182/344] chore(cohere): Release 0.3.0 (#6771)

---
 libs/langchain-cohere/package.json |  2 +-
 yarn.lock                          | 15 ++++++++++++++-
 2 files changed, 15 insertions(+), 2 deletions(-)

diff --git a/libs/langchain-cohere/package.json b/libs/langchain-cohere/package.json
index 02552f52b0e6..5c68c5adca88 100644
--- a/libs/langchain-cohere/package.json
+++ b/libs/langchain-cohere/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/cohere",
-  "version": "0.2.2",
+  "version": "0.3.0",
   "description": "Cohere integration for LangChain.js",
   "type": "module",
   "engines": {
diff --git a/yarn.lock b/yarn.lock
index afe8b673205e..427f378117bb 100644
--- a/yarn.lock
+++ b/yarn.lock
@@ -11399,7 +11399,20 @@ __metadata:
   languageName: unknown
   linkType: soft
 
-"@langchain/cohere@^0.2.1, @langchain/cohere@workspace:*, @langchain/cohere@workspace:libs/langchain-cohere":
+"@langchain/cohere@npm:^0.2.1":
+  version: 0.2.2
+  resolution: "@langchain/cohere@npm:0.2.2"
+  dependencies:
+    "@langchain/core": ">=0.2.21 <0.3.0"
+    cohere-ai: ^7.10.5
+    uuid: ^10.0.0
+    zod: ^3.23.8
+    zod-to-json-schema: ^3.23.1
+  checksum: 7e20f3dc0d4aab278ad21b38965ea41234b97c8c94e41ee732637a0e4d026f636507b47ab65d3d7eaee08be14cc1ef5721d6dde0cf88327454b80af6ee3956c4
+  languageName: node
+  linkType: hard
+
+"@langchain/cohere@workspace:*, @langchain/cohere@workspace:libs/langchain-cohere":
   version: 0.0.0-use.local
   resolution: "@langchain/cohere@workspace:libs/langchain-cohere"
   dependencies:

From 5e726dcc1c7c4d3ecc4a50958e4c87711800073f Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Fri, 13 Sep 2024 15:28:54 -0700
Subject: [PATCH 183/344] chore(weaviate): Release 0.1.0 (#6773)

---
 libs/langchain-weaviate/package.json | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/libs/langchain-weaviate/package.json b/libs/langchain-weaviate/package.json
index 1d33624a21cb..efbb3a14ed22 100644
--- a/libs/langchain-weaviate/package.json
+++ b/libs/langchain-weaviate/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/weaviate",
-  "version": "0.1.0-rc.0",
+  "version": "0.1.0",
   "description": "Weaviate integration for LangChain.js",
   "type": "module",
   "engines": {

From 36dc084f68a2a75916922a106961f0646a426b62 Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Fri, 13 Sep 2024 17:12:19 -0700
Subject: [PATCH 184/344] chore(aws): Release 0.1.0 (#6775)

---
 libs/langchain-aws/package.json | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/libs/langchain-aws/package.json b/libs/langchain-aws/package.json
index 6d550a9f49d8..83b18261afc7 100644
--- a/libs/langchain-aws/package.json
+++ b/libs/langchain-aws/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/aws",
-  "version": "0.0.10",
+  "version": "0.1.0",
   "description": "LangChain AWS integration",
   "type": "module",
   "engines": {

From d08bd5d269eacfb342ae7055ff518f4e19bd7d95 Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Fri, 13 Sep 2024 17:13:56 -0700
Subject: [PATCH 185/344] chore(azure-cosmosdb): Release 0.2.0 (#6776)

---
 libs/langchain-azure-cosmosdb/package.json | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/libs/langchain-azure-cosmosdb/package.json b/libs/langchain-azure-cosmosdb/package.json
index 01b940714bc4..8b3e38f30e4c 100644
--- a/libs/langchain-azure-cosmosdb/package.json
+++ b/libs/langchain-azure-cosmosdb/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/azure-cosmosdb",
-  "version": "0.1.0",
+  "version": "0.2.0",
   "description": "Azure CosmosDB integration for LangChain.js",
   "type": "module",
   "engines": {

From 7628a4c3dd37fd950dbf2d3ad551d48276cf9e33 Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Fri, 13 Sep 2024 17:15:42 -0700
Subject: [PATCH 186/344] chore(azure-dynamic-sessions): Release 0.2.0 (#6777)

---
 libs/langchain-azure-dynamic-sessions/package.json | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/libs/langchain-azure-dynamic-sessions/package.json b/libs/langchain-azure-dynamic-sessions/package.json
index a328f3c31650..e753162110a1 100644
--- a/libs/langchain-azure-dynamic-sessions/package.json
+++ b/libs/langchain-azure-dynamic-sessions/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/azure-dynamic-sessions",
-  "version": "0.1.0",
+  "version": "0.2.0",
   "description": "Sample integration for LangChain.js",
   "type": "module",
   "engines": {

From 00fa1d7ce7c4699504b3944507e6cd75fd719886 Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Fri, 13 Sep 2024 17:21:47 -0700
Subject: [PATCH 187/344] chore(release): Release Baidu, Exa, MixedBread, Nomic
 (#6778)

---
 libs/langchain-baidu-qianfan/package.json | 4 ++--
 libs/langchain-exa/package.json           | 2 +-
 libs/langchain-mixedbread-ai/package.json | 2 +-
 libs/langchain-nomic/package.json         | 2 +-
 libs/langchain-yandex/package.json        | 2 +-
 5 files changed, 6 insertions(+), 6 deletions(-)

diff --git a/libs/langchain-baidu-qianfan/package.json b/libs/langchain-baidu-qianfan/package.json
index 651def22f09d..4f148830b845 100644
--- a/libs/langchain-baidu-qianfan/package.json
+++ b/libs/langchain-baidu-qianfan/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/baidu-qianfan",
-  "version": "0.0.4",
+  "version": "0.1.0",
   "description": "Baidu Qianfan integration for LangChain.js",
   "type": "module",
   "engines": {
@@ -32,7 +32,7 @@
   "license": "MIT",
   "dependencies": {
     "@baiducloud/qianfan": "^0.1.6",
-    "@langchain/openai": "~0.1.0",
+    "@langchain/openai": "~0.3.0",
     "zod": "^3.22.4",
     "zod-to-json-schema": "^3.22.5"
   },
diff --git a/libs/langchain-exa/package.json b/libs/langchain-exa/package.json
index a0998bbc4a0c..4e94dd1a643c 100644
--- a/libs/langchain-exa/package.json
+++ b/libs/langchain-exa/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/exa",
-  "version": "0.0.5",
+  "version": "0.1.0",
   "description": "Exa integration for LangChain.js",
   "type": "module",
   "engines": {
diff --git a/libs/langchain-mixedbread-ai/package.json b/libs/langchain-mixedbread-ai/package.json
index e5f5c0e854b7..ac19774366cf 100644
--- a/libs/langchain-mixedbread-ai/package.json
+++ b/libs/langchain-mixedbread-ai/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/mixedbread-ai",
-  "version": "0.1.0",
+  "version": "0.2.0",
   "description": "Mixedbread AI integration for LangChain.js",
   "type": "module",
   "engines": {
diff --git a/libs/langchain-nomic/package.json b/libs/langchain-nomic/package.json
index 9581683bf289..f2245cd1c152 100644
--- a/libs/langchain-nomic/package.json
+++ b/libs/langchain-nomic/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/nomic",
-  "version": "0.0.6",
+  "version": "0.1.0",
   "description": "Nomic integration for LangChain.js",
   "type": "module",
   "engines": {
diff --git a/libs/langchain-yandex/package.json b/libs/langchain-yandex/package.json
index 71509be4b1db..3c919f593460 100644
--- a/libs/langchain-yandex/package.json
+++ b/libs/langchain-yandex/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/yandex",
-  "version": "0.0.3",
+  "version": "0.1.0",
   "description": "Yandex integration for LangChain.js",
   "type": "module",
   "engines": {

From 193e95dd855df1ddc262b5bf857d1b4aef80f72c Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Fri, 13 Sep 2024 17:21:55 -0700
Subject: [PATCH 188/344] fix(ci): Fix CI issue where local monorepo
 node_modules were copied into export tests (#6774)

---
 .../scripts/docker-ci-entrypoint.sh           |  12 +-
 langchain/package.json                        |  16 +-
 libs/langchain-cloudflare/.gitignore          |   4 -
 libs/langchain-cloudflare/langchain.config.js |   3 +-
 libs/langchain-cloudflare/package.json        |  24 +-
 .../src/langgraph/checkpointers.ts            | 212 ------------------
 libs/langchain-community/.gitignore           |   4 -
 libs/langchain-community/langchain.config.js  |   4 +-
 libs/langchain-community/package.json         |  20 +-
 .../tests/checkpointer.int.test.ts            | 104 ---------
 .../src/langgraph/checkpointers/vercel_kv.ts  | 164 --------------
 .../src/load/import_constants.ts              |   1 -
 package.json                                  |   1 -
 yarn.lock                                     | 201 +++--------------
 14 files changed, 53 insertions(+), 717 deletions(-)
 delete mode 100644 libs/langchain-cloudflare/src/langgraph/checkpointers.ts
 delete mode 100644 libs/langchain-community/src/langgraph/checkpointers/tests/checkpointer.int.test.ts
 delete mode 100644 libs/langchain-community/src/langgraph/checkpointers/vercel_kv.ts

diff --git a/environment_tests/scripts/docker-ci-entrypoint.sh b/environment_tests/scripts/docker-ci-entrypoint.sh
index eb813d5034d4..6c2a5472747c 100644
--- a/environment_tests/scripts/docker-ci-entrypoint.sh
+++ b/environment_tests/scripts/docker-ci-entrypoint.sh
@@ -17,12 +17,12 @@ mkdir -p ./libs/langchain-community/
 mkdir -p ./libs/langchain-cohere/
 mkdir -p ./libs/langchain/
 
-cp -r ../langchain-core ./libs/
-cp -r ../langchain-openai ./libs/
-cp -r ../langchain-anthropic ./libs/
-cp -r ../langchain-community ./libs/
-cp -r ../langchain-cohere ./libs/
-cp -r ../langchain ./libs/
+cp -r ../langchain-core/!(node_modules) ./libs/langchain-core
+cp -r ../langchain-openai/!(node_modules) ./libs/langchain-openai
+cp -r ../langchain-anthropic/!(node_modules) ./libs/langchain-anthropic
+cp -r ../langchain-community/!(node_modules) ./libs/langchain-community
+cp -r ../langchain-cohere/!(node_modules) ./libs/langchain-cohere
+cp -r ../langchain/!(node_modules) ./libs/langchain
 
 # copy cache
 mkdir -p ./.yarn
diff --git a/langchain/package.json b/langchain/package.json
index 083ec8d23b71..4382d7d88ea4 100644
--- a/langchain/package.json
+++ b/langchain/package.json
@@ -411,15 +411,15 @@
   "devDependencies": {
     "@faker-js/faker": "^7.6.0",
     "@jest/globals": "^29.5.0",
-    "@langchain/anthropic": "^0.2.8",
-    "@langchain/aws": "^0.0.5",
-    "@langchain/cohere": "^0.2.1",
+    "@langchain/anthropic": "*",
+    "@langchain/aws": "*",
+    "@langchain/cohere": "*",
     "@langchain/core": "workspace:*",
-    "@langchain/google-genai": "^0.0.26",
-    "@langchain/google-vertexai": "~0.0",
-    "@langchain/groq": "^0.0.15",
-    "@langchain/mistralai": "^0.0.26",
-    "@langchain/ollama": "^0.0.2",
+    "@langchain/google-genai": "*",
+    "@langchain/google-vertexai": "*",
+    "@langchain/groq": "*",
+    "@langchain/mistralai": "*",
+    "@langchain/ollama": "*",
     "@langchain/scripts": ">=0.1.0 <0.2.0",
     "@swc/core": "^1.3.90",
     "@swc/jest": "^0.2.29",
diff --git a/libs/langchain-cloudflare/.gitignore b/libs/langchain-cloudflare/.gitignore
index 3443681d0418..c10034e2f1be 100644
--- a/libs/langchain-cloudflare/.gitignore
+++ b/libs/langchain-cloudflare/.gitignore
@@ -2,10 +2,6 @@ index.cjs
 index.js
 index.d.ts
 index.d.cts
-langgraph/checkpointers.cjs
-langgraph/checkpointers.js
-langgraph/checkpointers.d.ts
-langgraph/checkpointers.d.cts
 node_modules
 dist
 .yarn
diff --git a/libs/langchain-cloudflare/langchain.config.js b/libs/langchain-cloudflare/langchain.config.js
index e112dcf90c6c..68c69b2d0f44 100644
--- a/libs/langchain-cloudflare/langchain.config.js
+++ b/libs/langchain-cloudflare/langchain.config.js
@@ -13,8 +13,7 @@ function abs(relativePath) {
 export const config = {
   internals: [/node\:/, /@langchain\/core\//, /@langchain\/langgraph\/web/],
   entrypoints: {
-    index: "index",
-    "langgraph/checkpointers": "langgraph/checkpointers",
+    index: "index"
   },
   tsConfigPath: resolve("./tsconfig.json"),
   cjsSource: "./dist-cjs",
diff --git a/libs/langchain-cloudflare/package.json b/libs/langchain-cloudflare/package.json
index a2b52bdc5b1c..f5f7be8252a8 100644
--- a/libs/langchain-cloudflare/package.json
+++ b/libs/langchain-cloudflare/package.json
@@ -42,7 +42,6 @@
     "@cloudflare/workers-types": "^4.20240909.0",
     "@jest/globals": "^29.5.0",
     "@langchain/core": "workspace:*",
-    "@langchain/langgraph": "~0.0.31",
     "@langchain/scripts": ">=0.1.0 <0.2.0",
     "@langchain/standard-tests": "0.0.0",
     "@swc/core": "^1.3.90",
@@ -68,13 +67,7 @@
     "typescript": "<5.2.0"
   },
   "peerDependencies": {
-    "@langchain/core": ">=0.2.21 <0.4.0",
-    "@langchain/langgraph": "*"
-  },
-  "peerDependenciesMeta": {
-    "@langchain/langgraph": {
-      "optional": true
-    }
+    "@langchain/core": ">=0.2.21 <0.4.0"
   },
   "publishConfig": {
     "access": "public"
@@ -89,15 +82,6 @@
       "import": "./index.js",
       "require": "./index.cjs"
     },
-    "./langgraph/checkpointers": {
-      "types": {
-        "import": "./langgraph/checkpointers.d.ts",
-        "require": "./langgraph/checkpointers.d.cts",
-        "default": "./langgraph/checkpointers.d.ts"
-      },
-      "import": "./langgraph/checkpointers.js",
-      "require": "./langgraph/checkpointers.cjs"
-    },
     "./package.json": "./package.json"
   },
   "files": [
@@ -105,10 +89,6 @@
     "index.cjs",
     "index.js",
     "index.d.ts",
-    "index.d.cts",
-    "langgraph/checkpointers.cjs",
-    "langgraph/checkpointers.js",
-    "langgraph/checkpointers.d.ts",
-    "langgraph/checkpointers.d.cts"
+    "index.d.cts"
   ]
 }
diff --git a/libs/langchain-cloudflare/src/langgraph/checkpointers.ts b/libs/langchain-cloudflare/src/langgraph/checkpointers.ts
deleted file mode 100644
index 1d3ad8dfb194..000000000000
--- a/libs/langchain-cloudflare/src/langgraph/checkpointers.ts
+++ /dev/null
@@ -1,212 +0,0 @@
-import { D1Database } from "@cloudflare/workers-types";
-
-import { RunnableConfig } from "@langchain/core/runnables";
-import {
-  BaseCheckpointSaver,
-  Checkpoint,
-  CheckpointMetadata,
-  CheckpointTuple,
-  SerializerProtocol,
-} from "@langchain/langgraph/web";
-
-// snake_case is used to match Python implementation
-interface Row {
-  checkpoint: string;
-  metadata: string;
-  parent_id?: string;
-  thread_id: string;
-  checkpoint_id: string;
-}
-
-export type CloudflareD1SaverFields = {
-  db: D1Database;
-};
-
-export class CloudflareD1Saver extends BaseCheckpointSaver {
-  db: D1Database;
-
-  protected isSetup: boolean;
-
-  constructor(
-    fields: CloudflareD1SaverFields,
-    serde?: SerializerProtocol<Checkpoint>
-  ) {
-    super(serde);
-    this.db = fields.db;
-    this.isSetup = false;
-  }
-
-  private async setup() {
-    if (this.isSetup) {
-      return;
-    }
-
-    try {
-      await this.db.exec(`
-CREATE TABLE IF NOT EXISTS checkpoints (thread_id TEXT NOT NULL, checkpoint_id TEXT NOT NULL, parent_id TEXT, checkpoint BLOB, metadata BLOB, PRIMARY KEY (thread_id, checkpoint_id));`);
-    } catch (error) {
-      console.log("Error creating checkpoints table", error);
-      throw error;
-    }
-
-    this.isSetup = true;
-  }
-
-  async getTuple(config: RunnableConfig): Promise<CheckpointTuple | undefined> {
-    await this.setup();
-    const thread_id = config.configurable?.thread_id;
-    const checkpoint_id = config.configurable?.checkpoint_id;
-
-    if (checkpoint_id) {
-      try {
-        const row: Row | null = await this.db
-          .prepare(
-            `SELECT checkpoint, parent_id, metadata FROM checkpoints WHERE thread_id = ? AND checkpoint_id = ?`
-          )
-          .bind(thread_id, checkpoint_id)
-          .first();
-
-        if (row) {
-          return {
-            config,
-            checkpoint: (await this.serde.parse(row.checkpoint)) as Checkpoint,
-            metadata: (await this.serde.parse(
-              row.metadata
-            )) as CheckpointMetadata,
-            parentConfig: row.parent_id
-              ? {
-                  configurable: {
-                    thread_id,
-                    checkpoint_id: row.parent_id,
-                  },
-                }
-              : undefined,
-          };
-        }
-      } catch (error) {
-        console.log("Error retrieving checkpoint", error);
-        throw error;
-      }
-    } else {
-      const row: Row | null = await this.db
-        .prepare(
-          `SELECT thread_id, checkpoint_id, parent_id, checkpoint, metadata FROM checkpoints WHERE thread_id = ? ORDER BY checkpoint_id DESC LIMIT 1`
-        )
-        .bind(thread_id)
-        .first();
-
-      if (row) {
-        return {
-          config: {
-            configurable: {
-              thread_id: row.thread_id,
-              checkpoint_id: row.checkpoint_id,
-            },
-          },
-          checkpoint: (await this.serde.parse(row.checkpoint)) as Checkpoint,
-          metadata: (await this.serde.parse(
-            row.metadata
-          )) as CheckpointMetadata,
-          parentConfig: row.parent_id
-            ? {
-                configurable: {
-                  thread_id: row.thread_id,
-                  checkpoint_id: row.parent_id,
-                },
-              }
-            : undefined,
-        };
-      }
-    }
-
-    return undefined;
-  }
-
-  async *list(
-    config: RunnableConfig,
-    limit?: number,
-    before?: RunnableConfig
-  ): AsyncGenerator<CheckpointTuple> {
-    await this.setup();
-    const thread_id = config.configurable?.thread_id;
-    let sql = `SELECT thread_id, checkpoint_id, parent_id, checkpoint, metadata FROM checkpoints WHERE thread_id = ? ${
-      before ? "AND checkpoint_id < ?" : ""
-    } ORDER BY checkpoint_id DESC`;
-    if (limit) {
-      sql += ` LIMIT ${limit}`;
-    }
-    const args = [thread_id, before?.configurable?.checkpoint_id].filter(
-      Boolean
-    );
-
-    try {
-      const { results: rows }: { results: Row[] } = await this.db
-        .prepare(sql)
-        .bind(...args)
-        .all();
-
-      if (rows) {
-        for (const row of rows) {
-          yield {
-            config: {
-              configurable: {
-                thread_id: row.thread_id,
-                checkpoint_id: row.checkpoint_id,
-              },
-            },
-            checkpoint: (await this.serde.parse(row.checkpoint)) as Checkpoint,
-            metadata: (await this.serde.parse(
-              row.metadata
-            )) as CheckpointMetadata,
-            parentConfig: row.parent_id
-              ? {
-                  configurable: {
-                    thread_id: row.thread_id,
-                    checkpoint_id: row.parent_id,
-                  },
-                }
-              : undefined,
-          };
-        }
-      }
-    } catch (error) {
-      console.log("Error listing checkpoints", error);
-      throw error;
-    }
-  }
-
-  async put(
-    config: RunnableConfig,
-    checkpoint: Checkpoint,
-    metadata: CheckpointMetadata
-  ): Promise<RunnableConfig> {
-    await this.setup();
-
-    try {
-      const row = [
-        config.configurable?.thread_id ?? null,
-        checkpoint.id,
-        config.configurable?.checkpoint_id ?? null,
-        this.serde.stringify(checkpoint),
-        this.serde.stringify(metadata),
-      ];
-
-      await this.db
-        .prepare(
-          `INSERT OR REPLACE INTO checkpoints (thread_id, checkpoint_id, parent_id, checkpoint, metadata) VALUES (?, ?, ?, ?, ?)`
-        )
-        .bind(...row)
-        .run();
-    } catch (error) {
-      console.log("Error saving checkpoint", error);
-      throw error;
-    }
-
-    return {
-      configurable: {
-        thread_id: config.configurable?.thread_id,
-        checkpoint_id: checkpoint.id,
-      },
-    };
-  }
-}
diff --git a/libs/langchain-community/.gitignore b/libs/langchain-community/.gitignore
index f479e8233d4d..0168b6a3643a 100644
--- a/libs/langchain-community/.gitignore
+++ b/libs/langchain-community/.gitignore
@@ -1026,10 +1026,6 @@ chains/graph_qa/cypher.cjs
 chains/graph_qa/cypher.js
 chains/graph_qa/cypher.d.ts
 chains/graph_qa/cypher.d.cts
-langgraph/checkpointers/vercel_kv.cjs
-langgraph/checkpointers/vercel_kv.js
-langgraph/checkpointers/vercel_kv.d.ts
-langgraph/checkpointers/vercel_kv.d.cts
 node_modules
 dist
 .yarn
diff --git a/libs/langchain-community/langchain.config.js b/libs/langchain-community/langchain.config.js
index 9e70e27a8f1c..61cdcbc7ab65 100644
--- a/libs/langchain-community/langchain.config.js
+++ b/libs/langchain-community/langchain.config.js
@@ -316,9 +316,7 @@ export const config = {
     "experimental/llms/chrome_ai": "experimental/llms/chrome_ai",
     "experimental/tools/pyinterpreter": "experimental/tools/pyinterpreter",
     // chains
-    "chains/graph_qa/cypher": "chains/graph_qa/cypher",
-    // langgraph checkpointers
-    "langgraph/checkpointers/vercel_kv": "langgraph/checkpointers/vercel_kv"
+    "chains/graph_qa/cypher": "chains/graph_qa/cypher"
   },
   requiresOptionalDependency: [
     "tools/aws_sfn",
diff --git a/libs/langchain-community/package.json b/libs/langchain-community/package.json
index d25ffcfeebf5..798ab26372df 100644
--- a/libs/langchain-community/package.json
+++ b/libs/langchain-community/package.json
@@ -79,7 +79,6 @@
     "@huggingface/inference": "^2.6.4",
     "@jest/globals": "^29.5.0",
     "@langchain/core": "workspace:*",
-    "@langchain/langgraph": "~0.0.26",
     "@langchain/scripts": ">=0.1.0 <0.2.0",
     "@langchain/standard-tests": "0.0.0",
     "@layerup/layerup-security": "^1.5.12",
@@ -244,7 +243,6 @@
     "@gradientai/nodejs-sdk": "^1.2.0",
     "@huggingface/inference": "^2.6.4",
     "@langchain/core": ">=0.2.21 <0.4.0",
-    "@langchain/langgraph": "*",
     "@layerup/layerup-security": "^1.5.12",
     "@mendable/firecrawl-js": "^0.0.13",
     "@mlc-ai/web-llm": "*",
@@ -422,9 +420,6 @@
     "@huggingface/inference": {
       "optional": true
     },
-    "@langchain/langgraph": {
-      "optional": true
-    },
     "@layerup/layerup-security": {
       "optional": true
     },
@@ -3025,15 +3020,6 @@
       "import": "./chains/graph_qa/cypher.js",
       "require": "./chains/graph_qa/cypher.cjs"
     },
-    "./langgraph/checkpointers/vercel_kv": {
-      "types": {
-        "import": "./langgraph/checkpointers/vercel_kv.d.ts",
-        "require": "./langgraph/checkpointers/vercel_kv.d.cts",
-        "default": "./langgraph/checkpointers/vercel_kv.d.ts"
-      },
-      "import": "./langgraph/checkpointers/vercel_kv.js",
-      "require": "./langgraph/checkpointers/vercel_kv.cjs"
-    },
     "./package.json": "./package.json"
   },
   "files": [
@@ -4065,10 +4051,6 @@
     "chains/graph_qa/cypher.cjs",
     "chains/graph_qa/cypher.js",
     "chains/graph_qa/cypher.d.ts",
-    "chains/graph_qa/cypher.d.cts",
-    "langgraph/checkpointers/vercel_kv.cjs",
-    "langgraph/checkpointers/vercel_kv.js",
-    "langgraph/checkpointers/vercel_kv.d.ts",
-    "langgraph/checkpointers/vercel_kv.d.cts"
+    "chains/graph_qa/cypher.d.cts"
   ]
 }
diff --git a/libs/langchain-community/src/langgraph/checkpointers/tests/checkpointer.int.test.ts b/libs/langchain-community/src/langgraph/checkpointers/tests/checkpointer.int.test.ts
deleted file mode 100644
index 59596040080a..000000000000
--- a/libs/langchain-community/src/langgraph/checkpointers/tests/checkpointer.int.test.ts
+++ /dev/null
@@ -1,104 +0,0 @@
-/* eslint-disable no-process-env */
-/* eslint-disable @typescript-eslint/no-non-null-assertion */
-
-import { describe, test, expect } from "@jest/globals";
-import { Checkpoint, CheckpointTuple } from "@langchain/langgraph";
-import { VercelKVSaver } from "../vercel_kv.js";
-
-const checkpoint1: Checkpoint = {
-  v: 1,
-  id: "1ef390c8-3ed9-6132-ffff-12d236274621",
-  ts: "2024-04-19T17:19:07.952Z",
-  channel_values: {
-    someKey1: "someValue1",
-  },
-  channel_versions: {
-    someKey2: 1,
-  },
-  versions_seen: {
-    someKey3: {
-      someKey4: 1,
-    },
-  },
-  pending_sends: [],
-};
-
-const checkpoint2: Checkpoint = {
-  v: 1,
-  id: "1ef390c8-3ed9-6133-8001-419c612dad04",
-  ts: "2024-04-20T17:19:07.952Z",
-  channel_values: {
-    someKey1: "someValue2",
-  },
-  channel_versions: {
-    someKey2: 2,
-  },
-  versions_seen: {
-    someKey3: {
-      someKey4: 2,
-    },
-  },
-  pending_sends: [],
-};
-
-describe("VercelKVSaver", () => {
-  const vercelSaver = new VercelKVSaver({
-    url: process.env.VERCEL_KV_API_URL!,
-    token: process.env.VERCEL_KV_API_TOKEN!,
-  });
-
-  test("should save and retrieve checkpoints correctly", async () => {
-    // save checkpoint
-    const runnableConfig = await vercelSaver.put(
-      { configurable: { thread_id: "1" } },
-      checkpoint1,
-      { source: "update", step: -1, writes: null }
-    );
-    expect(runnableConfig).toEqual({
-      configurable: {
-        thread_id: "1",
-        checkpoint_id: checkpoint1.id,
-      },
-    });
-
-    // get checkpoint tuple
-    const checkpointTuple = await vercelSaver.getTuple({
-      configurable: { thread_id: "1" },
-    });
-    expect(checkpointTuple?.config).toEqual({
-      configurable: {
-        thread_id: "1",
-        checkpoint_id: checkpoint1.id,
-      },
-    });
-    expect(checkpointTuple?.checkpoint).toEqual(checkpoint1);
-
-    // save another checkpoint
-    await vercelSaver.put(
-      {
-        configurable: {
-          thread_id: "1",
-        },
-      },
-      checkpoint2,
-      { source: "update", step: -1, writes: null }
-    );
-    // list checkpoints
-    const checkpointTupleGenerator = vercelSaver.list({
-      configurable: { thread_id: "1" },
-    });
-
-    const checkpointTuples: CheckpointTuple[] = [];
-
-    for await (const checkpoint of checkpointTupleGenerator) {
-      checkpointTuples.push(checkpoint);
-    }
-    expect(checkpointTuples.length).toBe(2);
-
-    const checkpointTuple1 = checkpointTuples[0];
-    const checkpointTuple2 = checkpointTuples[1];
-
-    expect(checkpointTuple1.checkpoint.ts).toBe("2024-04-20T17:19:07.952Z");
-    expect(checkpointTuple2.checkpoint.ts).toBe("2024-04-19T17:19:07.952Z");
-  });
-});
diff --git a/libs/langchain-community/src/langgraph/checkpointers/vercel_kv.ts b/libs/langchain-community/src/langgraph/checkpointers/vercel_kv.ts
deleted file mode 100644
index d9f68eebe7ff..000000000000
--- a/libs/langchain-community/src/langgraph/checkpointers/vercel_kv.ts
+++ /dev/null
@@ -1,164 +0,0 @@
-import { VercelKV, createClient } from "@vercel/kv";
-
-import { RunnableConfig } from "@langchain/core/runnables";
-import {
-  BaseCheckpointSaver,
-  Checkpoint,
-  CheckpointMetadata,
-  CheckpointTuple,
-  SerializerProtocol,
-} from "@langchain/langgraph/web";
-
-// snake_case is used to match Python implementation
-interface KVRow {
-  checkpoint: string;
-  metadata: string;
-}
-
-interface KVConfig {
-  url: string;
-  token: string;
-}
-
-export class VercelKVSaver extends BaseCheckpointSaver {
-  private kv: VercelKV;
-
-  constructor(config: KVConfig, serde?: SerializerProtocol<unknown>) {
-    super(serde);
-    this.kv = createClient(config);
-  }
-
-  async getTuple(config: RunnableConfig): Promise<CheckpointTuple | undefined> {
-    const thread_id = config.configurable?.thread_id;
-    const checkpoint_id = config.configurable?.checkpoint_id;
-
-    if (!thread_id) {
-      return undefined;
-    }
-
-    const key = checkpoint_id
-      ? `${thread_id}:${checkpoint_id}`
-      : `${thread_id}:last`;
-
-    const row: KVRow | null = await this.kv.get(key);
-
-    if (!row) {
-      return undefined;
-    }
-
-    const [checkpoint, metadata] = await Promise.all([
-      this.serde.parse(row.checkpoint),
-      this.serde.parse(row.metadata),
-    ]);
-
-    return {
-      checkpoint: checkpoint as Checkpoint,
-      metadata: metadata as CheckpointMetadata,
-      config: checkpoint_id
-        ? config
-        : {
-            configurable: {
-              thread_id,
-              checkpoint_id: (checkpoint as Checkpoint).id,
-            },
-          },
-    };
-  }
-
-  async *list(
-    config: RunnableConfig,
-    limit?: number,
-    before?: RunnableConfig
-  ): AsyncGenerator<CheckpointTuple> {
-    const thread_id: string = config.configurable?.thread_id;
-
-    // LUA script to get keys excluding those starting with "last"
-    const luaScript = `
-      local prefix = ARGV[1]
-      local cursor = '0'
-      local result = {}
-      repeat
-        local scanResult = redis.call('SCAN', cursor, 'MATCH', prefix .. '*', 'COUNT', 1000)
-        cursor = scanResult[1]
-        local keys = scanResult[2]
-        for _, key in ipairs(keys) do
-          if key:sub(-5) ~= ':last' then
-            table.insert(result, key)
-          end
-        end
-      until cursor == '0'
-      return result
-    `;
-
-    // Execute the LUA script with the thread_id as an argument
-    const keys: string[] = await this.kv.eval(luaScript, [], [thread_id]);
-
-    const filteredKeys = keys.filter((key: string) => {
-      const [, checkpoint_id] = key.split(":");
-
-      return !before || checkpoint_id < before?.configurable?.checkpoint_id;
-    });
-
-    const sortedKeys = filteredKeys
-      .sort((a: string, b: string) => b.localeCompare(a))
-      .slice(0, limit);
-
-    const rows: (KVRow | null)[] = await this.kv.mget(...sortedKeys);
-    for (const row of rows) {
-      if (row) {
-        const [checkpoint, metadata] = await Promise.all([
-          this.serde.parse(row.checkpoint),
-          this.serde.parse(row.metadata),
-        ]);
-
-        yield {
-          config: {
-            configurable: {
-              thread_id,
-              checkpoint_id: (checkpoint as Checkpoint).id,
-            },
-          },
-          checkpoint: checkpoint as Checkpoint,
-          metadata: metadata as CheckpointMetadata,
-        };
-      }
-    }
-  }
-
-  async put(
-    config: RunnableConfig,
-    checkpoint: Checkpoint,
-    metadata: CheckpointMetadata
-  ): Promise<RunnableConfig> {
-    const thread_id = config.configurable?.thread_id;
-
-    if (!thread_id || !checkpoint.id) {
-      throw new Error("Thread ID and Checkpoint ID must be defined");
-    }
-
-    const row: KVRow = {
-      checkpoint: this.serde.stringify(checkpoint),
-      metadata: this.serde.stringify(metadata),
-    };
-
-    // LUA script to set checkpoint data atomically"
-    const luaScript = `
-      local thread_id = ARGV[1]
-      local checkpoint_id = ARGV[2]
-      local row = ARGV[3]
-
-      redis.call('SET', thread_id .. ':' .. checkpoint_id, row)
-      redis.call('SET', thread_id .. ':last', row)
-    `;
-
-    // Save the checkpoint and the last checkpoint
-    await this.kv.eval(luaScript, [], [thread_id, checkpoint.id, row]);
-
-    return {
-      configurable: {
-        thread_id,
-        checkpoint_id: checkpoint.id,
-      },
-    };
-  }
-}
diff --git a/libs/langchain-community/src/load/import_constants.ts b/libs/langchain-community/src/load/import_constants.ts
index 238b9cc9b707..3044b499e239 100644
--- a/libs/langchain-community/src/load/import_constants.ts
+++ b/libs/langchain-community/src/load/import_constants.ts
@@ -178,5 +178,4 @@ export const optionalImportEntrypoints: string[] = [
   "langchain_community/experimental/hubs/makersuite/googlemakersuitehub",
   "langchain_community/experimental/tools/pyinterpreter",
   "langchain_community/chains/graph_qa/cypher",
-  "langchain_community/langgraph/checkpointers/vercel_kv",
 ];
diff --git a/package.json b/package.json
index 2bd507f968aa..d647515dcbcf 100644
--- a/package.json
+++ b/package.json
@@ -60,7 +60,6 @@
     "dpdm@^3.12.0": "patch:dpdm@npm%3A3.12.0#./.yarn/patches/dpdm-npm-3.12.0-0dfdd8e3b8.patch",
     "typedoc-plugin-markdown@next": "patch:typedoc-plugin-markdown@npm%3A4.0.0-next.6#./.yarn/patches/typedoc-plugin-markdown-npm-4.0.0-next.6-96b4b47746.patch",
     "voy-search@0.6.2": "patch:voy-search@npm%3A0.6.2#./.yarn/patches/voy-search-npm-0.6.2-d4aca30a0e.patch",
-    "@langchain/core": "workspace:*",
     "protobufjs": "^7.2.5",
     "zod": "3.23.8"
   },
diff --git a/yarn.lock b/yarn.lock
index 427f378117bb..40334094ba7f 100644
--- a/yarn.lock
+++ b/yarn.lock
@@ -11112,20 +11112,7 @@ __metadata:
   languageName: node
   linkType: hard
 
-"@langchain/anthropic@npm:^0.2.8":
-  version: 0.2.17
-  resolution: "@langchain/anthropic@npm:0.2.17"
-  dependencies:
-    "@anthropic-ai/sdk": ^0.25.2
-    "@langchain/core": ">=0.2.21 <0.3.0"
-    fast-xml-parser: ^4.4.1
-    zod: ^3.22.4
-    zod-to-json-schema: ^3.22.4
-  checksum: c238df1fed3834bee3054645cb363aab7b30b22c917d05731abac4af5f55122b59e86797e9ed8a1a57f9ce7335e4264130f652555d5cc47727b8d274249f02f0
-  languageName: node
-  linkType: hard
-
-"@langchain/anthropic@workspace:*, @langchain/anthropic@workspace:libs/langchain-anthropic":
+"@langchain/anthropic@*, @langchain/anthropic@workspace:*, @langchain/anthropic@workspace:libs/langchain-anthropic":
   version: 0.0.0-use.local
   resolution: "@langchain/anthropic@workspace:libs/langchain-anthropic"
   dependencies:
@@ -11160,21 +11147,7 @@ __metadata:
   languageName: unknown
   linkType: soft
 
-"@langchain/aws@npm:^0.0.5":
-  version: 0.0.5
-  resolution: "@langchain/aws@npm:0.0.5"
-  dependencies:
-    "@aws-sdk/client-bedrock-agent-runtime": ^3.583.0
-    "@aws-sdk/client-bedrock-runtime": ^3.602.0
-    "@aws-sdk/client-kendra": ^3.352.0
-    "@aws-sdk/credential-provider-node": ^3.600.0
-    "@langchain/core": ">=0.2.16 <0.3.0"
-    zod-to-json-schema: ^3.22.5
-  checksum: 57388fc13bc7e05aa2539c029a1105b46be583155fed62d3cc907256e2d95ef44019aa593f6a14a5a115fffd6ba3a7fbf47eaab37a34fd6afba6279c0e4eb85f
-  languageName: node
-  linkType: hard
-
-"@langchain/aws@workspace:*, @langchain/aws@workspace:libs/langchain-aws":
+"@langchain/aws@*, @langchain/aws@workspace:*, @langchain/aws@workspace:libs/langchain-aws":
   version: 0.0.0-use.local
   resolution: "@langchain/aws@workspace:libs/langchain-aws"
   dependencies:
@@ -11365,7 +11338,6 @@ __metadata:
     "@cloudflare/workers-types": ^4.20240909.0
     "@jest/globals": ^29.5.0
     "@langchain/core": "workspace:*"
-    "@langchain/langgraph": ~0.0.31
     "@langchain/scripts": ">=0.1.0 <0.2.0"
     "@langchain/standard-tests": 0.0.0
     "@swc/core": ^1.3.90
@@ -11392,27 +11364,10 @@ __metadata:
     uuid: ^10.0.0
   peerDependencies:
     "@langchain/core": ">=0.2.21 <0.4.0"
-    "@langchain/langgraph": "*"
-  peerDependenciesMeta:
-    "@langchain/langgraph":
-      optional: true
   languageName: unknown
   linkType: soft
 
-"@langchain/cohere@npm:^0.2.1":
-  version: 0.2.2
-  resolution: "@langchain/cohere@npm:0.2.2"
-  dependencies:
-    "@langchain/core": ">=0.2.21 <0.3.0"
-    cohere-ai: ^7.10.5
-    uuid: ^10.0.0
-    zod: ^3.23.8
-    zod-to-json-schema: ^3.23.1
-  checksum: 7e20f3dc0d4aab278ad21b38965ea41234b97c8c94e41ee732637a0e4d026f636507b47ab65d3d7eaee08be14cc1ef5721d6dde0cf88327454b80af6ee3956c4
-  languageName: node
-  linkType: hard
-
-"@langchain/cohere@workspace:*, @langchain/cohere@workspace:libs/langchain-cohere":
+"@langchain/cohere@*, @langchain/cohere@workspace:*, @langchain/cohere@workspace:libs/langchain-cohere":
   version: 0.0.0-use.local
   resolution: "@langchain/cohere@workspace:libs/langchain-cohere"
   dependencies:
@@ -11486,7 +11441,6 @@ __metadata:
     "@huggingface/inference": ^2.6.4
     "@jest/globals": ^29.5.0
     "@langchain/core": "workspace:*"
-    "@langchain/langgraph": ~0.0.26
     "@langchain/openai": ">=0.2.0 <0.4.0"
     "@langchain/scripts": ">=0.1.0 <0.2.0"
     "@langchain/standard-tests": 0.0.0
@@ -11660,7 +11614,6 @@ __metadata:
     "@gradientai/nodejs-sdk": ^1.2.0
     "@huggingface/inference": ^2.6.4
     "@langchain/core": ">=0.2.21 <0.4.0"
-    "@langchain/langgraph": "*"
     "@layerup/layerup-security": ^1.5.12
     "@mendable/firecrawl-js": ^0.0.13
     "@mlc-ai/web-llm": "*"
@@ -11810,8 +11763,6 @@ __metadata:
       optional: true
     "@huggingface/inference":
       optional: true
-    "@langchain/langgraph":
-      optional: true
     "@layerup/layerup-security":
       optional: true
     "@mendable/firecrawl-js":
@@ -12003,6 +11954,25 @@ __metadata:
   languageName: unknown
   linkType: soft
 
+"@langchain/core@npm:>=0.2.16 <0.3.0, @langchain/core@npm:>=0.2.5 <0.3.0":
+  version: 0.2.32
+  resolution: "@langchain/core@npm:0.2.32"
+  dependencies:
+    ansi-styles: ^5.0.0
+    camelcase: 6
+    decamelize: 1.2.0
+    js-tiktoken: ^1.0.12
+    langsmith: ^0.1.43
+    mustache: ^4.2.0
+    p-queue: ^6.6.2
+    p-retry: 4
+    uuid: ^10.0.0
+    zod: ^3.22.4
+    zod-to-json-schema: ^3.22.3
+  checksum: b26380e94c8838a1643177a53bef4c628ea583714a2e93e18a3126413f95756dc6dfbaf0572fe0965afcc79092d4a0c0e0851c932830261bd6c84d6380a0ac74
+  languageName: node
+  linkType: hard
+
 "@langchain/core@workspace:*, @langchain/core@workspace:langchain-core":
   version: 0.0.0-use.local
   resolution: "@langchain/core@workspace:langchain-core"
@@ -12148,7 +12118,7 @@ __metadata:
   languageName: unknown
   linkType: soft
 
-"@langchain/google-genai@^0.0.26, @langchain/google-genai@workspace:*, @langchain/google-genai@workspace:libs/langchain-google-genai":
+"@langchain/google-genai@*, @langchain/google-genai@workspace:*, @langchain/google-genai@workspace:libs/langchain-google-genai":
   version: 0.0.0-use.local
   resolution: "@langchain/google-genai@workspace:libs/langchain-google-genai"
   dependencies:
@@ -12221,7 +12191,7 @@ __metadata:
   languageName: unknown
   linkType: soft
 
-"@langchain/google-vertexai@workspace:*, @langchain/google-vertexai@workspace:libs/langchain-google-vertexai, @langchain/google-vertexai@~0.0":
+"@langchain/google-vertexai@*, @langchain/google-vertexai@workspace:*, @langchain/google-vertexai@workspace:libs/langchain-google-vertexai":
   version: 0.0.0-use.local
   resolution: "@langchain/google-vertexai@workspace:libs/langchain-google-vertexai"
   dependencies:
@@ -12292,20 +12262,7 @@ __metadata:
   languageName: unknown
   linkType: soft
 
-"@langchain/groq@npm:^0.0.15":
-  version: 0.0.15
-  resolution: "@langchain/groq@npm:0.0.15"
-  dependencies:
-    "@langchain/core": ">=0.2.16 <0.3.0"
-    "@langchain/openai": ~0.2.4
-    groq-sdk: ^0.3.2
-    zod: ^3.22.4
-    zod-to-json-schema: ^3.22.5
-  checksum: b9c9450ad481b36273ca42bb5499584febdd33f00c00962bf86321bc4ecf7a2d42ecdd86a0386f1931a556fb3038efa8a284e5256a4a124dabcd32c3293f1215
-  languageName: node
-  linkType: hard
-
-"@langchain/groq@workspace:*, @langchain/groq@workspace:libs/langchain-groq":
+"@langchain/groq@*, @langchain/groq@workspace:*, @langchain/groq@workspace:libs/langchain-groq":
   version: 0.0.0-use.local
   resolution: "@langchain/groq@workspace:libs/langchain-groq"
   dependencies:
@@ -12547,18 +12504,7 @@ __metadata:
   languageName: unknown
   linkType: soft
 
-"@langchain/ollama@npm:^0.0.2":
-  version: 0.0.2
-  resolution: "@langchain/ollama@npm:0.0.2"
-  dependencies:
-    "@langchain/core": ">=0.2.17 <0.3.0"
-    ollama: ^0.5.6
-    uuid: ^10.0.0
-  checksum: 33b9259842b4df5221bb492b5d99e0545964486a9a2e6ab899b645fd8eb514b534280d8e6e3f1d0efd406513e624e9c030c1457910163e9a1ee10908e316a54e
-  languageName: node
-  linkType: hard
-
-"@langchain/ollama@workspace:*, @langchain/ollama@workspace:libs/langchain-ollama":
+"@langchain/ollama@*, @langchain/ollama@workspace:*, @langchain/ollama@workspace:libs/langchain-ollama":
   version: 0.0.0-use.local
   resolution: "@langchain/ollama@workspace:libs/langchain-ollama"
   dependencies:
@@ -12643,19 +12589,6 @@ __metadata:
   languageName: node
   linkType: hard
 
-"@langchain/openai@npm:~0.2.4":
-  version: 0.2.10
-  resolution: "@langchain/openai@npm:0.2.10"
-  dependencies:
-    "@langchain/core": ">=0.2.26 <0.3.0"
-    js-tiktoken: ^1.0.12
-    openai: ^4.57.3
-    zod: ^3.22.4
-    zod-to-json-schema: ^3.22.3
-  checksum: ebaef6c95ebbc467f66ca844cecfadc3e911697a25a4020aa9c461a3ee70cbffd749fa5ee2017f995cecd1b3b2dacc5c5436c34830cbef93fa77874c5b130290
-  languageName: node
-  linkType: hard
-
 "@langchain/pinecone@workspace:*, @langchain/pinecone@workspace:libs/langchain-pinecone":
   version: 0.0.0-use.local
   resolution: "@langchain/pinecone@workspace:libs/langchain-pinecone"
@@ -21738,13 +21671,6 @@ __metadata:
   languageName: node
   linkType: hard
 
-"base-64@npm:^0.1.0":
-  version: 0.1.0
-  resolution: "base-64@npm:0.1.0"
-  checksum: 5a42938f82372ab5392cbacc85a5a78115cbbd9dbef9f7540fa47d78763a3a8bd7d598475f0d92341f66285afd377509851a9bb5c67bbecb89686e9255d5b3eb
-  languageName: node
-  linkType: hard
-
 "base16@npm:^1.0.0":
   version: 1.0.0
   resolution: "base16@npm:1.0.0"
@@ -22611,13 +22537,6 @@ __metadata:
   languageName: node
   linkType: hard
 
-"charenc@npm:0.0.2":
-  version: 0.0.2
-  resolution: "charenc@npm:0.0.2"
-  checksum: 81dcadbe57e861d527faf6dd3855dc857395a1c4d6781f4847288ab23cffb7b3ee80d57c15bba7252ffe3e5e8019db767757ee7975663ad2ca0939bb8fcaf2e5
-  languageName: node
-  linkType: hard
-
 "cheerio-select@npm:^2.1.0":
   version: 2.1.0
   resolution: "cheerio-select@npm:2.1.0"
@@ -23905,13 +23824,6 @@ __metadata:
   languageName: node
   linkType: hard
 
-"crypt@npm:0.0.2":
-  version: 0.0.2
-  resolution: "crypt@npm:0.0.2"
-  checksum: baf4c7bbe05df656ec230018af8cf7dbe8c14b36b98726939cef008d473f6fe7a4fad906cfea4062c93af516f1550a3f43ceb4d6615329612c6511378ed9fe34
-  languageName: node
-  linkType: hard
-
 "crypto-js@npm:^4.2.0":
   version: 4.2.0
   resolution: "crypto-js@npm:4.2.0"
@@ -25186,16 +25098,6 @@ __metadata:
   languageName: node
   linkType: hard
 
-"digest-fetch@npm:^1.3.0":
-  version: 1.3.0
-  resolution: "digest-fetch@npm:1.3.0"
-  dependencies:
-    base-64: ^0.1.0
-    md5: ^2.3.0
-  checksum: 8ebdb4b9ef02b1ac0da532d25c7d08388f2552813dfadabfe7c4630e944bb4a48093b997fc926440a10e1ccf4912f2ce9adcf2d6687b0518dab8480e08f22f9d
-  languageName: node
-  linkType: hard
-
 "dingbat-to-unicode@npm:^1.0.1":
   version: 1.0.1
   resolution: "dingbat-to-unicode@npm:1.0.1"
@@ -29339,23 +29241,6 @@ __metadata:
   languageName: node
   linkType: hard
 
-"groq-sdk@npm:^0.3.2":
-  version: 0.3.3
-  resolution: "groq-sdk@npm:0.3.3"
-  dependencies:
-    "@types/node": ^18.11.18
-    "@types/node-fetch": ^2.6.4
-    abort-controller: ^3.0.0
-    agentkeepalive: ^4.2.1
-    digest-fetch: ^1.3.0
-    form-data-encoder: 1.7.2
-    formdata-node: ^4.3.2
-    node-fetch: ^2.6.7
-    web-streams-polyfill: ^3.2.1
-  checksum: 822af994d44947072d861879bec959b2bad0762b16339cf1c4308d454bff09af3721126c45aa2f78d112e38365be92b36ec632bfc60fc6ece4e2f7c1b8ff327a
-  languageName: node
-  linkType: hard
-
 "groq-sdk@npm:^0.5.0":
   version: 0.5.0
   resolution: "groq-sdk@npm:0.5.0"
@@ -30538,13 +30423,6 @@ __metadata:
   languageName: node
   linkType: hard
 
-"is-buffer@npm:~1.1.6":
-  version: 1.1.6
-  resolution: "is-buffer@npm:1.1.6"
-  checksum: 4a186d995d8bbf9153b4bd9ff9fd04ae75068fe695d29025d25e592d9488911eeece84eefbd8fa41b8ddcc0711058a71d4c466dcf6f1f6e1d83830052d8ca707
-  languageName: node
-  linkType: hard
-
 "is-callable@npm:^1.1.3, is-callable@npm:^1.1.4, is-callable@npm:^1.2.7":
   version: 1.2.7
   resolution: "is-callable@npm:1.2.7"
@@ -32722,15 +32600,15 @@ __metadata:
   dependencies:
     "@faker-js/faker": ^7.6.0
     "@jest/globals": ^29.5.0
-    "@langchain/anthropic": ^0.2.8
-    "@langchain/aws": ^0.0.5
-    "@langchain/cohere": ^0.2.1
+    "@langchain/anthropic": "*"
+    "@langchain/aws": "*"
+    "@langchain/cohere": "*"
     "@langchain/core": "workspace:*"
-    "@langchain/google-genai": ^0.0.26
-    "@langchain/google-vertexai": ~0.0
-    "@langchain/groq": ^0.0.15
-    "@langchain/mistralai": ^0.0.26
-    "@langchain/ollama": ^0.0.2
+    "@langchain/google-genai": "*"
+    "@langchain/google-vertexai": "*"
+    "@langchain/groq": "*"
+    "@langchain/mistralai": "*"
+    "@langchain/ollama": "*"
     "@langchain/openai": ">=0.1.0 <0.4.0"
     "@langchain/scripts": ">=0.1.0 <0.2.0"
     "@langchain/textsplitters": ">=0.0.0 <0.2.0"
@@ -33806,17 +33684,6 @@ __metadata:
   languageName: node
   linkType: hard
 
-"md5@npm:^2.3.0":
-  version: 2.3.0
-  resolution: "md5@npm:2.3.0"
-  dependencies:
-    charenc: 0.0.2
-    crypt: 0.0.2
-    is-buffer: ~1.1.6
-  checksum: a63cacf4018dc9dee08c36e6f924a64ced735b37826116c905717c41cebeb41a522f7a526ba6ad578f9c80f02cb365033ccd67fe186ffbcc1a1faeb75daa9b6e
-  languageName: node
-  linkType: hard
-
 "mdast-squeeze-paragraphs@npm:^4.0.0":
   version: 4.0.0
   resolution: "mdast-squeeze-paragraphs@npm:4.0.0"

From e085979efa0e91263005b9e78637e57cec0be726 Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Fri, 13 Sep 2024 17:27:16 -0700
Subject: [PATCH 189/344] chore(community): Release 0.3.0 (#6779)

---
 libs/langchain-community/package.json | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/libs/langchain-community/package.json b/libs/langchain-community/package.json
index 798ab26372df..68270c52d197 100644
--- a/libs/langchain-community/package.json
+++ b/libs/langchain-community/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/community",
-  "version": "0.3.0-rc.0",
+  "version": "0.3.0",
   "description": "Third-party integrations for LangChain.js",
   "type": "module",
   "engines": {

From ab90b8818d5ba2a01b52c9e7caaa6cc32c026f9b Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Fri, 13 Sep 2024 17:28:30 -0700
Subject: [PATCH 190/344] chore(cloudflare): Release 0.1.0 (#6780)

---
 libs/langchain-cloudflare/package.json | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/libs/langchain-cloudflare/package.json b/libs/langchain-cloudflare/package.json
index f5f7be8252a8..07ba32df8481 100644
--- a/libs/langchain-cloudflare/package.json
+++ b/libs/langchain-cloudflare/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/cloudflare",
-  "version": "0.0.7",
+  "version": "0.1.0",
   "description": "Cloudflare integration for LangChain.js",
   "type": "module",
   "engines": {

From 3b9e64a5403e3c256b7663ce68d5480e81dd6a82 Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Fri, 13 Sep 2024 17:31:25 -0700
Subject: [PATCH 191/344] chore(groq): Release 0.1.1 (#6781)

---
 libs/langchain-groq/package.json | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/libs/langchain-groq/package.json b/libs/langchain-groq/package.json
index f3b62befb487..d74505d50792 100644
--- a/libs/langchain-groq/package.json
+++ b/libs/langchain-groq/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/groq",
-  "version": "0.0.17",
+  "version": "0.1.1",
   "description": "Groq integration for LangChain.js",
   "type": "module",
   "engines": {
@@ -35,7 +35,7 @@
   "author": "LangChain",
   "license": "MIT",
   "dependencies": {
-    "@langchain/openai": "~0.2.6",
+    "@langchain/openai": "~0.3.0",
     "groq-sdk": "^0.5.0",
     "zod": "^3.22.4",
     "zod-to-json-schema": "^3.22.5"

From 13ccad1d353fb62c1b2c9c4597b08836342ab99a Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Fri, 13 Sep 2024 17:32:47 -0700
Subject: [PATCH 192/344] chore(mongodb): Release 0.1.0 (#6782)

---
 libs/langchain-mongodb/package.json | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/libs/langchain-mongodb/package.json b/libs/langchain-mongodb/package.json
index be01ef09c9e4..a80cdc0e888a 100644
--- a/libs/langchain-mongodb/package.json
+++ b/libs/langchain-mongodb/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/mongodb",
-  "version": "0.0.6",
+  "version": "0.1.0",
   "description": "Sample integration for LangChain.js",
   "type": "module",
   "engines": {

From 1ebe79ca7e49088984b9726cca0c65bef37cf79a Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Fri, 13 Sep 2024 17:34:22 -0700
Subject: [PATCH 193/344] chore(ollama): Release 0.1.0 (#6783)

---
 libs/langchain-ollama/package.json | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/libs/langchain-ollama/package.json b/libs/langchain-ollama/package.json
index caaee41e4b57..5df996b61191 100644
--- a/libs/langchain-ollama/package.json
+++ b/libs/langchain-ollama/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/ollama",
-  "version": "0.0.4",
+  "version": "0.1.0",
   "description": "Ollama integration for LangChain.js",
   "type": "module",
   "engines": {

From e2ea50e16f5a9dc713450bf81e87a8546ed4f383 Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Fri, 13 Sep 2024 17:36:16 -0700
Subject: [PATCH 194/344] chore(pinecone): Release 0.1.0 (#6784)

---
 libs/langchain-pinecone/package.json | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/libs/langchain-pinecone/package.json b/libs/langchain-pinecone/package.json
index fb6c623e43e8..783fe4e68ada 100644
--- a/libs/langchain-pinecone/package.json
+++ b/libs/langchain-pinecone/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/pinecone",
-  "version": "0.0.9",
+  "version": "0.1.0",
   "description": "LangChain integration for Pinecone's vector database",
   "type": "module",
   "engines": {

From e5383a7024b96dc121cbee3d3c666ef0a842630d Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Fri, 13 Sep 2024 17:37:34 -0700
Subject: [PATCH 195/344] chore(qdrant): Release 0.1.0 (#6785)

---
 libs/langchain-qdrant/package.json | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/libs/langchain-qdrant/package.json b/libs/langchain-qdrant/package.json
index 07481bd0fc78..a0bba7310e9d 100644
--- a/libs/langchain-qdrant/package.json
+++ b/libs/langchain-qdrant/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/qdrant",
-  "version": "0.0.5",
+  "version": "0.1.0",
   "description": "LangChain.js integration for the Qdrant vector database",
   "type": "module",
   "engines": {

From dff78334cdb38fdf7b1329aa3cd082c624504a2b Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Fri, 13 Sep 2024 17:38:40 -0700
Subject: [PATCH 196/344] chore(redis): Release 0.1.0 (#6786)

---
 libs/langchain-redis/package.json | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/libs/langchain-redis/package.json b/libs/langchain-redis/package.json
index 7470a3bb9f46..1423dd7f5e19 100644
--- a/libs/langchain-redis/package.json
+++ b/libs/langchain-redis/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/redis",
-  "version": "0.0.5",
+  "version": "0.1.0",
   "description": "Sample integration for LangChain.js",
   "type": "module",
   "engines": {

From fa840ff2097cd0beffd62d612fd52f852be78e5f Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Fri, 13 Sep 2024 17:45:25 -0700
Subject: [PATCH 197/344] chore(google): Release 0.1.0 (#6787)

---
 libs/langchain-google-common/package.json      |  2 +-
 libs/langchain-google-gauth/package.json       |  4 ++--
 .../langchain-google-vertexai-web/package.json |  6 +++---
 libs/langchain-google-vertexai/package.json    |  6 +++---
 libs/langchain-google-webauth/package.json     |  4 ++--
 yarn.lock                                      | 18 +++++++++---------
 6 files changed, 20 insertions(+), 20 deletions(-)

diff --git a/libs/langchain-google-common/package.json b/libs/langchain-google-common/package.json
index ee3bc6877756..f572c194c97a 100644
--- a/libs/langchain-google-common/package.json
+++ b/libs/langchain-google-common/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/google-common",
-  "version": "0.0.27",
+  "version": "0.1.0",
   "description": "Core types and classes for Google services.",
   "type": "module",
   "engines": {
diff --git a/libs/langchain-google-gauth/package.json b/libs/langchain-google-gauth/package.json
index 8dcc881897b5..2614af2df617 100644
--- a/libs/langchain-google-gauth/package.json
+++ b/libs/langchain-google-gauth/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/google-gauth",
-  "version": "0.0.27",
+  "version": "0.1.0",
   "description": "Google auth based authentication support for Google services",
   "type": "module",
   "engines": {
@@ -35,7 +35,7 @@
   "author": "LangChain",
   "license": "MIT",
   "dependencies": {
-    "@langchain/google-common": "~0.0.27",
+    "@langchain/google-common": "~0.1.0",
     "google-auth-library": "^8.9.0"
   },
   "peerDependencies": {
diff --git a/libs/langchain-google-vertexai-web/package.json b/libs/langchain-google-vertexai-web/package.json
index 86dc96d8cd1b..5fdcb89f3314 100644
--- a/libs/langchain-google-vertexai-web/package.json
+++ b/libs/langchain-google-vertexai-web/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/google-vertexai-web",
-  "version": "0.0.27",
+  "version": "0.1.0",
   "description": "LangChain.js support for Google Vertex AI Web",
   "type": "module",
   "engines": {
@@ -32,7 +32,7 @@
   "author": "LangChain",
   "license": "MIT",
   "dependencies": {
-    "@langchain/google-webauth": "~0.0.27"
+    "@langchain/google-webauth": "~0.1.0"
   },
   "peerDependencies": {
     "@langchain/core": ">=0.2.21 <0.4.0"
@@ -40,7 +40,7 @@
   "devDependencies": {
     "@jest/globals": "^29.5.0",
     "@langchain/core": "workspace:*",
-    "@langchain/google-common": "^0.0.27",
+    "@langchain/google-common": "^0.1.0",
     "@langchain/scripts": ">=0.1.0 <0.2.0",
     "@langchain/standard-tests": "0.0.0",
     "@swc/core": "^1.3.90",
diff --git a/libs/langchain-google-vertexai/package.json b/libs/langchain-google-vertexai/package.json
index 7792d8cdefeb..7274f14f58ae 100644
--- a/libs/langchain-google-vertexai/package.json
+++ b/libs/langchain-google-vertexai/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/google-vertexai",
-  "version": "0.0.27",
+  "version": "0.1.0",
   "description": "LangChain.js support for Google Vertex AI",
   "type": "module",
   "engines": {
@@ -32,7 +32,7 @@
   "author": "LangChain",
   "license": "MIT",
   "dependencies": {
-    "@langchain/google-gauth": "~0.0.27"
+    "@langchain/google-gauth": "~0.1.0"
   },
   "peerDependencies": {
     "@langchain/core": ">=0.2.21 <0.4.0"
@@ -40,7 +40,7 @@
   "devDependencies": {
     "@jest/globals": "^29.5.0",
     "@langchain/core": "workspace:*",
-    "@langchain/google-common": "^0.0.27",
+    "@langchain/google-common": "^0.1.0",
     "@langchain/scripts": ">=0.1.0 <0.2.0",
     "@langchain/standard-tests": "0.0.0",
     "@swc/core": "^1.3.90",
diff --git a/libs/langchain-google-webauth/package.json b/libs/langchain-google-webauth/package.json
index ec5192795866..149054defe14 100644
--- a/libs/langchain-google-webauth/package.json
+++ b/libs/langchain-google-webauth/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/google-webauth",
-  "version": "0.0.27",
+  "version": "0.1.0",
   "description": "Web-based authentication support for Google services",
   "type": "module",
   "engines": {
@@ -32,7 +32,7 @@
   "author": "LangChain",
   "license": "MIT",
   "dependencies": {
-    "@langchain/google-common": "~0.0.27",
+    "@langchain/google-common": "~0.1.0",
     "web-auth-library": "^1.0.3"
   },
   "peerDependencies": {
diff --git a/yarn.lock b/yarn.lock
index 40334094ba7f..13fbce9e6134 100644
--- a/yarn.lock
+++ b/yarn.lock
@@ -12048,7 +12048,7 @@ __metadata:
   languageName: unknown
   linkType: soft
 
-"@langchain/google-common@^0.0.27, @langchain/google-common@workspace:*, @langchain/google-common@workspace:libs/langchain-google-common, @langchain/google-common@~0.0.27":
+"@langchain/google-common@^0.1.0, @langchain/google-common@workspace:*, @langchain/google-common@workspace:libs/langchain-google-common, @langchain/google-common@~0.1.0":
   version: 0.0.0-use.local
   resolution: "@langchain/google-common@workspace:libs/langchain-google-common"
   dependencies:
@@ -12083,13 +12083,13 @@ __metadata:
   languageName: unknown
   linkType: soft
 
-"@langchain/google-gauth@workspace:libs/langchain-google-gauth, @langchain/google-gauth@~0.0.27":
+"@langchain/google-gauth@workspace:libs/langchain-google-gauth, @langchain/google-gauth@~0.1.0":
   version: 0.0.0-use.local
   resolution: "@langchain/google-gauth@workspace:libs/langchain-google-gauth"
   dependencies:
     "@jest/globals": ^29.5.0
     "@langchain/core": "workspace:*"
-    "@langchain/google-common": ~0.0.27
+    "@langchain/google-common": ~0.1.0
     "@langchain/scripts": ">=0.1.0 <0.2.0"
     "@swc/core": ^1.3.90
     "@swc/jest": ^0.2.29
@@ -12161,8 +12161,8 @@ __metadata:
   dependencies:
     "@jest/globals": ^29.5.0
     "@langchain/core": "workspace:*"
-    "@langchain/google-common": ^0.0.27
-    "@langchain/google-webauth": ~0.0.27
+    "@langchain/google-common": ^0.1.0
+    "@langchain/google-webauth": ~0.1.0
     "@langchain/scripts": ">=0.1.0 <0.2.0"
     "@langchain/standard-tests": 0.0.0
     "@swc/core": ^1.3.90
@@ -12197,8 +12197,8 @@ __metadata:
   dependencies:
     "@jest/globals": ^29.5.0
     "@langchain/core": "workspace:*"
-    "@langchain/google-common": ^0.0.27
-    "@langchain/google-gauth": ~0.0.27
+    "@langchain/google-common": ^0.1.0
+    "@langchain/google-gauth": ~0.1.0
     "@langchain/scripts": ">=0.1.0 <0.2.0"
     "@langchain/standard-tests": 0.0.0
     "@swc/core": ^1.3.90
@@ -12227,13 +12227,13 @@ __metadata:
   languageName: unknown
   linkType: soft
 
-"@langchain/google-webauth@workspace:libs/langchain-google-webauth, @langchain/google-webauth@~0.0.27":
+"@langchain/google-webauth@workspace:libs/langchain-google-webauth, @langchain/google-webauth@~0.1.0":
   version: 0.0.0-use.local
   resolution: "@langchain/google-webauth@workspace:libs/langchain-google-webauth"
   dependencies:
     "@jest/globals": ^29.5.0
     "@langchain/core": "workspace:*"
-    "@langchain/google-common": ~0.0.27
+    "@langchain/google-common": ~0.1.0
     "@langchain/scripts": ">=0.1.0 <0.2.0"
     "@swc/core": ^1.3.90
     "@swc/jest": ^0.2.29

From dac4a6ed29ad688a62c55658ee3434f9ffca1b8b Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Fri, 13 Sep 2024 17:46:38 -0700
Subject: [PATCH 198/344] chore(google-genai): Release 0.1.0 (#6788)

---
 libs/langchain-google-genai/package.json | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/libs/langchain-google-genai/package.json b/libs/langchain-google-genai/package.json
index 1d7bc83524d5..b97f308d368f 100644
--- a/libs/langchain-google-genai/package.json
+++ b/libs/langchain-google-genai/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/google-genai",
-  "version": "0.0.26",
+  "version": "0.1.0",
   "description": "Google Generative AI integration for LangChain.js",
   "type": "module",
   "engines": {

From 9ae9c3e98aca7c7ae4193f2556456f38fcba7486 Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Sat, 14 Sep 2024 22:26:36 -0700
Subject: [PATCH 199/344] fix(core, langchain): Update langsmith dep to rc
 (#6797)

---
 langchain-core/package.json |  2 +-
 langchain/package.json      |  2 +-
 yarn.lock                   | 39 +++++++++++++++++++------------------
 3 files changed, 22 insertions(+), 21 deletions(-)

diff --git a/langchain-core/package.json b/langchain-core/package.json
index bf070eca71ff..462a2208b4b7 100644
--- a/langchain-core/package.json
+++ b/langchain-core/package.json
@@ -37,7 +37,7 @@
     "camelcase": "6",
     "decamelize": "1.2.0",
     "js-tiktoken": "^1.0.12",
-    "langsmith": "^0.1.43",
+    "langsmith": "^0.1.56-rc.1",
     "mustache": "^4.2.0",
     "p-queue": "^6.6.2",
     "p-retry": "4",
diff --git a/langchain/package.json b/langchain/package.json
index 4382d7d88ea4..5706390f9ef0 100644
--- a/langchain/package.json
+++ b/langchain/package.json
@@ -524,7 +524,7 @@
     "js-tiktoken": "^1.0.12",
     "js-yaml": "^4.1.0",
     "jsonpointer": "^5.0.1",
-    "langsmith": "~0.1.40",
+    "langsmith": "^0.1.56-rc.1",
     "openapi-types": "^12.1.3",
     "p-retry": "4",
     "uuid": "^10.0.0",
diff --git a/yarn.lock b/yarn.lock
index 13fbce9e6134..496fc22f7009 100644
--- a/yarn.lock
+++ b/yarn.lock
@@ -11997,7 +11997,7 @@ __metadata:
     jest: ^29.5.0
     jest-environment-node: ^29.6.4
     js-tiktoken: ^1.0.12
-    langsmith: ^0.1.43
+    langsmith: ^0.1.56-rc.1
     ml-matrix: ^6.10.4
     mustache: ^4.2.0
     p-queue: ^6.6.2
@@ -19524,6 +19524,13 @@ __metadata:
   languageName: node
   linkType: hard
 
+"@types/uuid@npm:^10.0.0":
+  version: 10.0.0
+  resolution: "@types/uuid@npm:10.0.0"
+  checksum: e3958f8b0fe551c86c14431f5940c3470127293280830684154b91dc7eb3514aeb79fe3216968833cf79d4d1c67f580f054b5be2cd562bebf4f728913e73e944
+  languageName: node
+  linkType: hard
+
 "@types/uuid@npm:^9":
   version: 9.0.1
   resolution: "@types/uuid@npm:9.0.1"
@@ -32640,7 +32647,7 @@ __metadata:
     js-tiktoken: ^1.0.12
     js-yaml: ^4.1.0
     jsonpointer: ^5.0.1
-    langsmith: ~0.1.40
+    langsmith: ^0.1.56-rc.1
     openai: ^4.41.1
     openapi-types: ^12.1.3
     p-retry: 4
@@ -32747,39 +32754,33 @@ __metadata:
   languageName: node
   linkType: hard
 
-"langsmith@npm:~0.1.30":
-  version: 0.1.39
-  resolution: "langsmith@npm:0.1.39"
+"langsmith@npm:^0.1.56-rc.1":
+  version: 0.1.56-rc.1
+  resolution: "langsmith@npm:0.1.56-rc.1"
   dependencies:
-    "@types/uuid": ^9.0.1
+    "@types/uuid": ^10.0.0
     commander: ^10.0.1
     p-queue: ^6.6.2
     p-retry: 4
-    uuid: ^9.0.0
+    semver: ^7.6.3
+    uuid: ^10.0.0
   peerDependencies:
-    "@langchain/core": "*"
-    langchain: "*"
     openai: "*"
   peerDependenciesMeta:
-    "@langchain/core":
-      optional: true
-    langchain:
-      optional: true
     openai:
       optional: true
-  checksum: df21332662ec3a2d2d5cf915acede52b96aedf2a286259435d683f230af5926500b129cab1f0275450e0d3de6d9d8476e410ac46f5e994beb43f2e2df8a1965f
+  checksum: 6d144958641bc7bca97b1fd0031fe9214d0e524e758d4a2efb0f34254de218bcfd4354ac71bed7b7d96893063f90a9db7103a6c921448519b1ab7a2200a1506f
   languageName: node
   linkType: hard
 
-"langsmith@npm:~0.1.40":
-  version: 0.1.40
-  resolution: "langsmith@npm:0.1.40"
+"langsmith@npm:~0.1.30":
+  version: 0.1.39
+  resolution: "langsmith@npm:0.1.39"
   dependencies:
     "@types/uuid": ^9.0.1
     commander: ^10.0.1
     p-queue: ^6.6.2
     p-retry: 4
-    semver: ^7.6.3
     uuid: ^9.0.0
   peerDependencies:
     "@langchain/core": "*"
@@ -32792,7 +32793,7 @@ __metadata:
       optional: true
     openai:
       optional: true
-  checksum: 8c5bcf5137e93a9a17203fbe21d6a61f45c98fccafc2040d56e9cc15a4ee432456d986adf0e590d8c436b72d18143053ce6e65f021115f1596dd4519ec2805d7
+  checksum: df21332662ec3a2d2d5cf915acede52b96aedf2a286259435d683f230af5926500b129cab1f0275450e0d3de6d9d8476e410ac46f5e994beb43f2e2df8a1965f
   languageName: node
   linkType: hard
 

From e02033017251e565f930a0136c47d5b62f0d43a2 Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Sat, 14 Sep 2024 22:31:01 -0700
Subject: [PATCH 200/344] chore(core): Release 0.3.1 (#6800)

---
 langchain-core/package.json | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/langchain-core/package.json b/langchain-core/package.json
index 462a2208b4b7..d8184eaa9b36 100644
--- a/langchain-core/package.json
+++ b/langchain-core/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/core",
-  "version": "0.3.0",
+  "version": "0.3.1",
   "description": "Core LangChain.js abstractions and schemas",
   "type": "module",
   "engines": {

From 39cc12d74bd36ac398239a8b7e86f9d68b14e750 Mon Sep 17 00:00:00 2001
From: jacoblee93 <jacoblee93@gmail.com>
Date: Sat, 14 Sep 2024 22:37:17 -0700
Subject: [PATCH 201/344] Release 0.3.1

---
 langchain/package.json | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/langchain/package.json b/langchain/package.json
index 5706390f9ef0..a2fe7253cef3 100644
--- a/langchain/package.json
+++ b/langchain/package.json
@@ -1,6 +1,6 @@
 {
   "name": "langchain",
-  "version": "0.3.0",
+  "version": "0.3.1",
   "description": "Typescript bindings for langchain",
   "type": "module",
   "engines": {

From b69dbf3b68dcfe474a6394d710fd8769ae68b59d Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Sat, 14 Sep 2024 23:10:42 -0700
Subject: [PATCH 202/344] fix(langchain): Remove circular peer dep in langchain
 on @langchain/community (#6803)

---
 langchain/package.json | 4 ----
 yarn.lock              | 3 ---
 2 files changed, 7 deletions(-)

diff --git a/langchain/package.json b/langchain/package.json
index a2fe7253cef3..f8ed9c5acb07 100644
--- a/langchain/package.json
+++ b/langchain/package.json
@@ -461,7 +461,6 @@
     "@langchain/anthropic": "*",
     "@langchain/aws": "*",
     "@langchain/cohere": "*",
-    "@langchain/community": "*",
     "@langchain/core": ">=0.2.21 <0.4.0",
     "@langchain/google-genai": "*",
     "@langchain/google-vertexai": "*",
@@ -484,9 +483,6 @@
     "@langchain/cohere": {
       "optional": true
     },
-    "@langchain/community": {
-      "optional": true
-    },
     "@langchain/google-genai": {
       "optional": true
     },
diff --git a/yarn.lock b/yarn.lock
index 496fc22f7009..79c732d4bd6e 100644
--- a/yarn.lock
+++ b/yarn.lock
@@ -32668,7 +32668,6 @@ __metadata:
     "@langchain/anthropic": "*"
     "@langchain/aws": "*"
     "@langchain/cohere": "*"
-    "@langchain/community": "*"
     "@langchain/core": ">=0.2.21 <0.4.0"
     "@langchain/google-genai": "*"
     "@langchain/google-vertexai": "*"
@@ -32687,8 +32686,6 @@ __metadata:
       optional: true
     "@langchain/cohere":
       optional: true
-    "@langchain/community":
-      optional: true
     "@langchain/google-genai":
       optional: true
     "@langchain/google-vertexai":

From ccac3620fd6c68bf2c3722ba760d1f79f2cd5d8f Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Sat, 14 Sep 2024 23:17:13 -0700
Subject: [PATCH 203/344] chore(langchain): Release 0.3.2 (#6805)

---
 langchain/package.json | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/langchain/package.json b/langchain/package.json
index f8ed9c5acb07..275c3977d85b 100644
--- a/langchain/package.json
+++ b/langchain/package.json
@@ -1,6 +1,6 @@
 {
   "name": "langchain",
-  "version": "0.3.1",
+  "version": "0.3.2",
   "description": "Typescript bindings for langchain",
   "type": "module",
   "engines": {

From b060228bdc8a9555ba5e5cb6de9d7a6351def533 Mon Sep 17 00:00:00 2001
From: Erick Friis <erick@langchain.dev>
Date: Sun, 15 Sep 2024 22:11:59 -0700
Subject: [PATCH 204/344] docs: new algolia index (#6810)

---
 docs/core_docs/docusaurus.config.js | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/core_docs/docusaurus.config.js b/docs/core_docs/docusaurus.config.js
index 70bb8eeb561d..4ab00bbb5029 100644
--- a/docs/core_docs/docusaurus.config.js
+++ b/docs/core_docs/docusaurus.config.js
@@ -308,7 +308,7 @@ const config = {
         // this is linked to erick@langchain.dev currently
         apiKey: "180851bbb9ba0ef6be9214849d6efeaf",
 
-        indexName: "js-langchain-0.2",
+        indexName: "js-langchain-latest",
 
         contextualSearch: false,
       },

From 10085750a0f9ab8cbe74ea10498af8eb3365aa4f Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Sun, 15 Sep 2024 22:25:54 -0700
Subject: [PATCH 205/344] docs: Adds 0.3 versioning docs (#6793)

---
 deno.json                                     |   28 +-
 .../docs/how_to/agent_executor.ipynb          |  295 ++--
 .../core_docs/docs/how_to/migrate_agent.ipynb | 1227 ++++++-----------
 docs/core_docs/docs/versions/overview.mdx     |   44 -
 docs/core_docs/docs/versions/packages.mdx     |   54 -
 docs/core_docs/docs/versions/v0_3/index.mdx   |  141 ++
 docs/core_docs/package.json                   |    2 +-
 yarn.lock                                     |   36 +-
 8 files changed, 759 insertions(+), 1068 deletions(-)
 delete mode 100644 docs/core_docs/docs/versions/overview.mdx
 delete mode 100644 docs/core_docs/docs/versions/packages.mdx
 create mode 100644 docs/core_docs/docs/versions/v0_3/index.mdx

diff --git a/deno.json b/deno.json
index 15679236f0e4..4c6004fa02b2 100644
--- a/deno.json
+++ b/deno.json
@@ -1,20 +1,20 @@
 {
   "imports": {
-    "langchain/": "npm:/langchain/",
+    "langchain/": "npm:/langchain@0.3.2/",
+    "@langchain/anthropic": "npm:@langchain/anthropic@0.3.0",
+    "@langchain/cloudflare": "npm:@langchain/cloudflare@0.1.0",
+    "@langchain/community/": "npm:/@langchain/community@0.3.0/",
+    "@langchain/openai": "npm:@langchain/openai@0.3.0",
+    "@langchain/cohere": "npm:@langchain/cohere@0.3.0",
+    "@langchain/textsplitters": "npm:@langchain/textsplitters@0.1.0",
+    "@langchain/google-vertexai-web": "npm:@langchain/google-vertexai-web@0.1.0",
+    "@langchain/mistralai": "npm:@langchain/mistralai@0.1.0",
+    "@langchain/core/": "npm:/@langchain/core@0.3.1/",
+    "@langchain/pinecone": "npm:@langchain/pinecone@0.1.0",
+    "@langchain/google-common": "npm:@langchain/google-common@0.1.0",
+    "@langchain/langgraph": "npm:/@langchain/langgraph@0.2.3",
+    "@langchain/langgraph/": "npm:/@langchain/langgraph@0.2.3/",
     "@faker-js/faker": "npm:@faker-js/faker",
-    "@langchain/anthropic": "npm:@langchain/anthropic",
-    "@langchain/cloudflare": "npm:@langchain/cloudflare",
-    "@langchain/community/": "npm:/@langchain/community@0.2.2/",
-    "@langchain/openai": "npm:@langchain/openai",
-    "@langchain/cohere": "npm:@langchain/cohere",
-    "@langchain/textsplitters": "npm:@langchain/textsplitters",
-    "@langchain/google-vertexai-web": "npm:@langchain/google-vertexai-web",
-    "@langchain/mistralai": "npm:@langchain/mistralai",
-    "@langchain/core/": "npm:/@langchain/core@0.2.16/",
-    "@langchain/pinecone": "npm:@langchain/pinecone",
-    "@langchain/google-common": "npm:@langchain/google-common",
-    "@langchain/langgraph": "npm:/@langchain/langgraph@0.0.21",
-    "@langchain/langgraph/": "npm:/@langchain/langgraph@0.0.21/",
     "@microsoft/fetch-event-source": "npm:@microsoft/fetch-event-source",
     "@pinecone-database/pinecone": "npm:@pinecone-database/pinecone",
     "cheerio": "npm:cheerio",
diff --git a/docs/core_docs/docs/how_to/agent_executor.ipynb b/docs/core_docs/docs/how_to/agent_executor.ipynb
index f37846a3cdba..1bf617ebec21 100644
--- a/docs/core_docs/docs/how_to/agent_executor.ipynb
+++ b/docs/core_docs/docs/how_to/agent_executor.ipynb
@@ -103,7 +103,7 @@
     {
      "data": {
       "text/plain": [
-       "\u001b[32m`[{\"title\":\"Weather in San Francisco\",\"url\":\"https://www.weatherapi.com/\",\"content\":\"{'location': {'n`\u001b[39m... 1347 more characters"
+       "\u001b[32m`[{\"title\":\"Weather in San Francisco\",\"url\":\"https://www.weatherapi.com/\",\"content\":\"{'location': {'n`\u001b[39m... 1358 more characters"
       ]
      },
      "execution_count": 1,
@@ -146,7 +146,8 @@
        "  metadata: {\n",
        "    source: \u001b[32m\"https://docs.smith.langchain.com/overview\"\u001b[39m,\n",
        "    loc: { lines: { from: \u001b[33m4\u001b[39m, to: \u001b[33m4\u001b[39m } }\n",
-       "  }\n",
+       "  },\n",
+       "  id: \u001b[90mundefined\u001b[39m\n",
        "}"
       ]
      },
@@ -186,18 +187,25 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 7,
    "id": "7280b031",
    "metadata": {},
    "outputs": [],
    "source": [
-    "import { createRetrieverTool } from \"langchain/tools/retriever\";\n",
+    "import { z } from \"zod\";\n",
+    "import { tool } from \"@langchain/core/tools\";\n",
     "\n",
-    "const retrieverTool = await createRetrieverTool(retriever, {\n",
-    "    name: \"langsmith_search\",\n",
-    "    description:\n",
-    "      \"Search for information about LangSmith. For any questions about LangSmith, you must use this tool!\",\n",
-    "  });"
+    "const retrieverTool = tool(async ({ input }, config) => {\n",
+    "  const docs = await retriever.invoke(input, config);\n",
+    "  return docs.map((doc) => doc.pageContent).join(\"\\n\\n\");\n",
+    "}, {\n",
+    "  name: \"langsmith_search\",\n",
+    "  description:\n",
+    "    \"Search for information about LangSmith. For any questions about LangSmith, you must use this tool!\",\n",
+    "  schema: z.object({\n",
+    "    input: z.string()\n",
+    "  }),\n",
+    "});"
    ]
   },
   {
@@ -212,7 +220,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 8,
    "id": "b8e8e710",
    "metadata": {},
    "outputs": [],
@@ -246,7 +254,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 9,
+   "id": "def033a4",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "// @lc-docs-hide-cell\n",
+    "\n",
+    "import { ChatOpenAI } from \"@langchain/openai\";\n",
+    "\n",
+    "const model = new ChatOpenAI({ model: \"gpt-4o-mini\", temperature: 0 })"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
    "id": "c96c960b",
    "metadata": {},
    "outputs": [
@@ -256,18 +278,16 @@
        "\u001b[32m\"Hello! How can I assist you today?\"\u001b[39m"
       ]
      },
-     "execution_count": 5,
+     "execution_count": 10,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "import { ChatOpenAI } from \"@langchain/openai\";\n",
-    "const model = new ChatOpenAI({ model: \"gpt-4\", temperature: 0 })\n",
-    "\n",
-    "import { HumanMessage } from \"@langchain/core/messages\";\n",
-    "\n",
-    "const response = await model.invoke([new HumanMessage(\"hi!\")]);\n",
+    "const response = await model.invoke([{\n",
+    "  role: \"user\",\n",
+    "  content: \"hi!\"\n",
+    "}]);\n",
     "\n",
     "response.content;"
    ]
@@ -282,7 +302,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 11,
    "id": "ba692a74",
    "metadata": {},
    "outputs": [],
@@ -300,7 +320,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 12,
    "id": "b6a7e925",
    "metadata": {},
    "outputs": [
@@ -314,7 +334,10 @@
     }
    ],
    "source": [
-    "const responseWithTools = await modelWithTools.invoke([new HumanMessage(\"Hi!\")])\n",
+    "const responseWithTools = await modelWithTools.invoke([{\n",
+    "  role: \"user\",\n",
+    "  content: \"Hi!\"\n",
+    "}])\n",
     "\n",
     "console.log(`Content: ${responseWithTools.content}`)\n",
     "console.log(`Tool calls: ${responseWithTools.tool_calls}`)"
@@ -330,7 +353,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 13,
    "id": "688b465d",
    "metadata": {},
    "outputs": [
@@ -345,14 +368,18 @@
       "    \"args\": {\n",
       "      \"input\": \"current weather in San Francisco\"\n",
       "    },\n",
-      "    \"id\": \"call_VcSjZAZkEOx9lcHNZNXAjXkm\"\n",
+      "    \"type\": \"tool_call\",\n",
+      "    \"id\": \"call_gtJ5rrjXswO8EIvePrxyGQbR\"\n",
       "  }\n",
       "]\n"
      ]
     }
    ],
    "source": [
-    "const responseWithToolCalls = await modelWithTools.invoke([new HumanMessage(\"What's the weather in SF?\")])\n",
+    "const responseWithToolCalls = await modelWithTools.invoke([{\n",
+    "  role: \"user\",\n",
+    "  content: \"What's the weather in SF?\"\n",
+    "}])\n",
     "\n",
     "console.log(`Content: ${responseWithToolCalls.content}`)\n",
     "console.log(`Tool calls: ${JSON.stringify(responseWithToolCalls.tool_calls, null, 2)}`)"
@@ -382,7 +409,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 14,
    "id": "af83d3e3",
    "metadata": {},
    "outputs": [
@@ -409,7 +436,8 @@
       "        partialVariables: undefined,\n",
       "        templateFormat: \"f-string\",\n",
       "        template: \"You are a helpful assistant\",\n",
-      "        validateTemplate: true\n",
+      "        validateTemplate: true,\n",
+      "        additionalContentFields: undefined\n",
       "      }\n",
       "    },\n",
       "    lc_runnable: true,\n",
@@ -432,7 +460,8 @@
       "      partialVariables: undefined,\n",
       "      templateFormat: \"f-string\",\n",
       "      template: \"You are a helpful assistant\",\n",
-      "      validateTemplate: true\n",
+      "      validateTemplate: true,\n",
+      "      additionalContentFields: undefined\n",
       "    },\n",
       "    messageClass: undefined,\n",
       "    chatMessageClass: undefined\n",
@@ -464,7 +493,8 @@
       "        partialVariables: undefined,\n",
       "        templateFormat: \"f-string\",\n",
       "        template: \"{input}\",\n",
-      "        validateTemplate: true\n",
+      "        validateTemplate: true,\n",
+      "        additionalContentFields: undefined\n",
       "      }\n",
       "    },\n",
       "    lc_runnable: true,\n",
@@ -487,7 +517,8 @@
       "      partialVariables: undefined,\n",
       "      templateFormat: \"f-string\",\n",
       "      template: \"{input}\",\n",
-      "      validateTemplate: true\n",
+      "      validateTemplate: true,\n",
+      "      additionalContentFields: undefined\n",
       "    },\n",
       "    messageClass: undefined,\n",
       "    chatMessageClass: undefined\n",
@@ -530,7 +561,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 15,
    "id": "89cf72b4-6046-4b47-8f27-5522d8cb8036",
    "metadata": {},
    "outputs": [],
@@ -550,7 +581,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 16,
    "id": "ce33904a",
    "metadata": {},
    "outputs": [],
@@ -577,7 +608,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 17,
    "id": "114ba50d",
    "metadata": {},
    "outputs": [
@@ -587,7 +618,7 @@
        "{ input: \u001b[32m\"hi!\"\u001b[39m, output: \u001b[32m\"Hello! How can I assist you today?\"\u001b[39m }"
       ]
      },
-     "execution_count": 12,
+     "execution_count": 17,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -608,7 +639,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 18,
    "id": "3fa4780a",
    "metadata": {
     "scrolled": true
@@ -619,13 +650,11 @@
       "text/plain": [
        "{\n",
        "  input: \u001b[32m\"how can langsmith help with testing?\"\u001b[39m,\n",
-       "  output: \u001b[32m\"LangSmith can be a valuable tool for testing in several ways:\\n\"\u001b[39m +\n",
-       "    \u001b[32m\"\\n\"\u001b[39m +\n",
-       "    \u001b[32m\"1. **Logging Traces**: LangSmith prov\"\u001b[39m... 960 more characters\n",
+       "  output: \u001b[32m\"LangSmith can assist with testing in several ways, particularly for applications built using large l\"\u001b[39m... 1474 more characters\n",
        "}"
       ]
      },
-     "execution_count": 13,
+     "execution_count": 18,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -646,7 +675,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 19,
    "id": "77c2f769",
    "metadata": {},
    "outputs": [
@@ -655,11 +684,14 @@
       "text/plain": [
        "{\n",
        "  input: \u001b[32m\"whats the weather in sf?\"\u001b[39m,\n",
-       "  output: \u001b[32m\"The current weather in San Francisco, California is partly cloudy with a temperature of 12.2°C (54.0\"\u001b[39m... 176 more characters\n",
+       "  output: \u001b[32m\"The current weather in San Francisco is as follows:\\n\"\u001b[39m +\n",
+       "    \u001b[32m\"\\n\"\u001b[39m +\n",
+       "    \u001b[32m\"- **Temperature**: 15.6°C (60.1°F)\\n\"\u001b[39m +\n",
+       "    \u001b[32m\"- **Conditio\"\u001b[39m... 303 more characters\n",
        "}"
       ]
      },
-     "execution_count": 14,
+     "execution_count": 19,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -690,7 +722,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 20,
    "id": "c4073e35",
    "metadata": {},
    "outputs": [
@@ -704,7 +736,7 @@
        "}"
       ]
      },
-     "execution_count": 15,
+     "execution_count": 20,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -716,7 +748,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 21,
    "id": "550e0c6e",
    "metadata": {},
    "outputs": [
@@ -725,58 +757,31 @@
       "text/plain": [
        "{\n",
        "  chat_history: [\n",
-       "    HumanMessage {\n",
-       "      lc_serializable: \u001b[33mtrue\u001b[39m,\n",
-       "      lc_kwargs: {\n",
-       "        content: \u001b[32m\"hi! my name is bob\"\u001b[39m,\n",
-       "        additional_kwargs: {},\n",
-       "        response_metadata: {}\n",
-       "      },\n",
-       "      lc_namespace: [ \u001b[32m\"langchain_core\"\u001b[39m, \u001b[32m\"messages\"\u001b[39m ],\n",
-       "      content: \u001b[32m\"hi! my name is bob\"\u001b[39m,\n",
-       "      name: \u001b[90mundefined\u001b[39m,\n",
-       "      additional_kwargs: {},\n",
-       "      response_metadata: {}\n",
-       "    },\n",
-       "    AIMessage {\n",
-       "      lc_serializable: \u001b[33mtrue\u001b[39m,\n",
-       "      lc_kwargs: {\n",
-       "        content: \u001b[32m\"Hello Bob! How can I assist you today?\"\u001b[39m,\n",
-       "        tool_calls: [],\n",
-       "        invalid_tool_calls: [],\n",
-       "        additional_kwargs: {},\n",
-       "        response_metadata: {}\n",
-       "      },\n",
-       "      lc_namespace: [ \u001b[32m\"langchain_core\"\u001b[39m, \u001b[32m\"messages\"\u001b[39m ],\n",
-       "      content: \u001b[32m\"Hello Bob! How can I assist you today?\"\u001b[39m,\n",
-       "      name: \u001b[90mundefined\u001b[39m,\n",
-       "      additional_kwargs: {},\n",
-       "      response_metadata: {},\n",
-       "      tool_calls: [],\n",
-       "      invalid_tool_calls: []\n",
+       "    { role: \u001b[32m\"user\"\u001b[39m, content: \u001b[32m\"hi! my name is bob\"\u001b[39m },\n",
+       "    {\n",
+       "      role: \u001b[32m\"assistant\"\u001b[39m,\n",
+       "      content: \u001b[32m\"Hello Bob! How can I assist you today?\"\u001b[39m\n",
        "    }\n",
        "  ],\n",
        "  input: \u001b[32m\"what's my name?\"\u001b[39m,\n",
-       "  output: \u001b[32m\"Your name is Bob. How can I assist you further?\"\u001b[39m\n",
+       "  output: \u001b[32m\"Your name is Bob. How can I help you today, Bob?\"\u001b[39m\n",
        "}"
       ]
      },
-     "execution_count": 16,
+     "execution_count": 21,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "import { AIMessage, HumanMessage } from \"@langchain/core/messages\";\n",
-    "\n",
     "await agentExecutor.invoke(\n",
-    "    {\n",
-    "        chat_history: [\n",
-    "            new HumanMessage(\"hi! my name is bob\"),\n",
-    "            new AIMessage(\"Hello Bob! How can I assist you today?\"),\n",
-    "        ],\n",
-    "        input: \"what's my name?\",\n",
-    "    }\n",
+    "  {\n",
+    "    chat_history: [\n",
+    "      { role: \"user\", content: \"hi! my name is bob\" },\n",
+    "      { role: \"assistant\", content: \"Hello Bob! How can I assist you today?\" },\n",
+    "    ],\n",
+    "    input: \"what's my name?\",\n",
+    "  }\n",
     ")"
    ]
   },
@@ -797,7 +802,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 22,
    "id": "8edd96e6",
    "metadata": {},
    "outputs": [
@@ -808,41 +813,23 @@
        "  input: \u001b[32m\"hi! I'm bob\"\u001b[39m,\n",
        "  chat_history: [\n",
        "    HumanMessage {\n",
-       "      lc_serializable: \u001b[33mtrue\u001b[39m,\n",
-       "      lc_kwargs: {\n",
-       "        content: \u001b[32m\"hi! I'm bob\"\u001b[39m,\n",
-       "        additional_kwargs: {},\n",
-       "        response_metadata: {}\n",
-       "      },\n",
-       "      lc_namespace: [ \u001b[32m\"langchain_core\"\u001b[39m, \u001b[32m\"messages\"\u001b[39m ],\n",
-       "      content: \u001b[32m\"hi! I'm bob\"\u001b[39m,\n",
-       "      name: \u001b[90mundefined\u001b[39m,\n",
-       "      additional_kwargs: {},\n",
-       "      response_metadata: {}\n",
+       "      \"content\": \"hi! I'm bob\",\n",
+       "      \"additional_kwargs\": {},\n",
+       "      \"response_metadata\": {}\n",
        "    },\n",
        "    AIMessage {\n",
-       "      lc_serializable: \u001b[33mtrue\u001b[39m,\n",
-       "      lc_kwargs: {\n",
-       "        content: \u001b[32m\"Hello, Bob! How can I assist you today?\"\u001b[39m,\n",
-       "        tool_calls: [],\n",
-       "        invalid_tool_calls: [],\n",
-       "        additional_kwargs: {},\n",
-       "        response_metadata: {}\n",
-       "      },\n",
-       "      lc_namespace: [ \u001b[32m\"langchain_core\"\u001b[39m, \u001b[32m\"messages\"\u001b[39m ],\n",
-       "      content: \u001b[32m\"Hello, Bob! How can I assist you today?\"\u001b[39m,\n",
-       "      name: \u001b[90mundefined\u001b[39m,\n",
-       "      additional_kwargs: {},\n",
-       "      response_metadata: {},\n",
-       "      tool_calls: [],\n",
-       "      invalid_tool_calls: []\n",
+       "      \"content\": \"Hello Bob! How can I assist you today?\",\n",
+       "      \"additional_kwargs\": {},\n",
+       "      \"response_metadata\": {},\n",
+       "      \"tool_calls\": [],\n",
+       "      \"invalid_tool_calls\": []\n",
        "    }\n",
        "  ],\n",
-       "  output: \u001b[32m\"Hello, Bob! How can I assist you today?\"\u001b[39m\n",
+       "  output: \u001b[32m\"Hello Bob! How can I assist you today?\"\u001b[39m\n",
        "}"
       ]
      },
-     "execution_count": 17,
+     "execution_count": 22,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -855,10 +842,10 @@
     "const store = {};\n",
     "\n",
     "function getMessageHistory(sessionId: string): BaseChatMessageHistory {\n",
-    "    if (!(sessionId in store)) {\n",
-    "        store[sessionId] = new ChatMessageHistory();\n",
-    "    }\n",
-    "    return store[sessionId];\n",
+    "  if (!(sessionId in store)) {\n",
+    "    store[sessionId] = new ChatMessageHistory();\n",
+    "  }\n",
+    "  return store[sessionId];\n",
     "}\n",
     "\n",
     "const agentWithChatHistory = new RunnableWithMessageHistory({\n",
@@ -876,7 +863,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 23,
    "id": "ae627966",
    "metadata": {},
    "outputs": [
@@ -887,71 +874,35 @@
        "  input: \u001b[32m\"what's my name?\"\u001b[39m,\n",
        "  chat_history: [\n",
        "    HumanMessage {\n",
-       "      lc_serializable: \u001b[33mtrue\u001b[39m,\n",
-       "      lc_kwargs: {\n",
-       "        content: \u001b[32m\"hi! I'm bob\"\u001b[39m,\n",
-       "        additional_kwargs: {},\n",
-       "        response_metadata: {}\n",
-       "      },\n",
-       "      lc_namespace: [ \u001b[32m\"langchain_core\"\u001b[39m, \u001b[32m\"messages\"\u001b[39m ],\n",
-       "      content: \u001b[32m\"hi! I'm bob\"\u001b[39m,\n",
-       "      name: \u001b[90mundefined\u001b[39m,\n",
-       "      additional_kwargs: {},\n",
-       "      response_metadata: {}\n",
+       "      \"content\": \"hi! I'm bob\",\n",
+       "      \"additional_kwargs\": {},\n",
+       "      \"response_metadata\": {}\n",
        "    },\n",
        "    AIMessage {\n",
-       "      lc_serializable: \u001b[33mtrue\u001b[39m,\n",
-       "      lc_kwargs: {\n",
-       "        content: \u001b[32m\"Hello, Bob! How can I assist you today?\"\u001b[39m,\n",
-       "        tool_calls: [],\n",
-       "        invalid_tool_calls: [],\n",
-       "        additional_kwargs: {},\n",
-       "        response_metadata: {}\n",
-       "      },\n",
-       "      lc_namespace: [ \u001b[32m\"langchain_core\"\u001b[39m, \u001b[32m\"messages\"\u001b[39m ],\n",
-       "      content: \u001b[32m\"Hello, Bob! How can I assist you today?\"\u001b[39m,\n",
-       "      name: \u001b[90mundefined\u001b[39m,\n",
-       "      additional_kwargs: {},\n",
-       "      response_metadata: {},\n",
-       "      tool_calls: [],\n",
-       "      invalid_tool_calls: []\n",
+       "      \"content\": \"Hello Bob! How can I assist you today?\",\n",
+       "      \"additional_kwargs\": {},\n",
+       "      \"response_metadata\": {},\n",
+       "      \"tool_calls\": [],\n",
+       "      \"invalid_tool_calls\": []\n",
        "    },\n",
        "    HumanMessage {\n",
-       "      lc_serializable: \u001b[33mtrue\u001b[39m,\n",
-       "      lc_kwargs: {\n",
-       "        content: \u001b[32m\"what's my name?\"\u001b[39m,\n",
-       "        additional_kwargs: {},\n",
-       "        response_metadata: {}\n",
-       "      },\n",
-       "      lc_namespace: [ \u001b[32m\"langchain_core\"\u001b[39m, \u001b[32m\"messages\"\u001b[39m ],\n",
-       "      content: \u001b[32m\"what's my name?\"\u001b[39m,\n",
-       "      name: \u001b[90mundefined\u001b[39m,\n",
-       "      additional_kwargs: {},\n",
-       "      response_metadata: {}\n",
+       "      \"content\": \"what's my name?\",\n",
+       "      \"additional_kwargs\": {},\n",
+       "      \"response_metadata\": {}\n",
        "    },\n",
        "    AIMessage {\n",
-       "      lc_serializable: \u001b[33mtrue\u001b[39m,\n",
-       "      lc_kwargs: {\n",
-       "        content: \u001b[32m\"Your name is Bob. How can I assist you further?\"\u001b[39m,\n",
-       "        tool_calls: [],\n",
-       "        invalid_tool_calls: [],\n",
-       "        additional_kwargs: {},\n",
-       "        response_metadata: {}\n",
-       "      },\n",
-       "      lc_namespace: [ \u001b[32m\"langchain_core\"\u001b[39m, \u001b[32m\"messages\"\u001b[39m ],\n",
-       "      content: \u001b[32m\"Your name is Bob. How can I assist you further?\"\u001b[39m,\n",
-       "      name: \u001b[90mundefined\u001b[39m,\n",
-       "      additional_kwargs: {},\n",
-       "      response_metadata: {},\n",
-       "      tool_calls: [],\n",
-       "      invalid_tool_calls: []\n",
+       "      \"content\": \"Your name is Bob! How can I help you today, Bob?\",\n",
+       "      \"additional_kwargs\": {},\n",
+       "      \"response_metadata\": {},\n",
+       "      \"tool_calls\": [],\n",
+       "      \"invalid_tool_calls\": []\n",
        "    }\n",
        "  ],\n",
-       "  output: \u001b[32m\"Your name is Bob. How can I assist you further?\"\u001b[39m\n",
+       "  output: \u001b[32m\"Your name is Bob! How can I help you today, Bob?\"\u001b[39m\n",
        "}"
       ]
      },
-     "execution_count": 18,
+     "execution_count": 23,
      "metadata": {},
      "output_type": "execute_result"
     }
diff --git a/docs/core_docs/docs/how_to/migrate_agent.ipynb b/docs/core_docs/docs/how_to/migrate_agent.ipynb
index e4cb32b8ad30..33fbf3332002 100644
--- a/docs/core_docs/docs/how_to/migrate_agent.ipynb
+++ b/docs/core_docs/docs/how_to/migrate_agent.ipynb
@@ -42,7 +42,7 @@
     "\n",
     "#### Prerequisites\n",
     "\n",
-    "This how-to guide uses Anthropic's `\"claude-3-haiku-20240307\"` as the LLM. If you are running this guide as a notebook, set your Anthropic API key to run."
+    "This how-to guide uses OpenAI's `\"gpt-4o-mini\"` as the LLM. If you are running this guide as a notebook, set your OpenAI API key as shown below:"
    ]
   },
   {
@@ -54,7 +54,7 @@
    },
    "outputs": [],
    "source": [
-    "// process.env.ANTHROPIC_API_KEY = \"sk-...\";\n",
+    "// process.env.OPENAI_API_KEY = \"...\";\n",
     "\n",
     "// Optional, add tracing in LangSmith\n",
     "// process.env.LANGCHAIN_API_KEY = \"ls...\";\n",
@@ -86,7 +86,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 2,
    "id": "1222c5e2",
    "metadata": {
     "lines_to_next_cell": 2
@@ -95,11 +95,10 @@
    "source": [
     "import { tool } from \"@langchain/core/tools\";\n",
     "import { z } from \"zod\";\n",
-    "import { ChatAnthropic } from \"@langchain/anthropic\";\n",
+    "import { ChatOpenAI } from \"@langchain/openai\";\n",
     "\n",
-    "const llm = new ChatAnthropic({\n",
-    "  model: \"claude-3-haiku-20240307\",\n",
-    "  temperature: 0,\n",
+    "const llm = new ChatOpenAI({\n",
+    "  model: \"gpt-4o-mini\",\n",
     "});\n",
     "\n",
     "const magicTool = tool(async ({ input }: { input: number }) => {\n",
@@ -130,7 +129,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 3,
    "id": "e52bf891",
    "metadata": {
     "lines_to_next_cell": 2
@@ -141,11 +140,11 @@
       "text/plain": [
        "{\n",
        "  input: \u001b[32m\"what is the value of magic_function(3)?\"\u001b[39m,\n",
-       "  output: \u001b[32m\"The value of magic_function(3) is 5.\"\u001b[39m\n",
+       "  output: \u001b[32m\"The value of `magic_function(3)` is 5.\"\u001b[39m\n",
        "}"
       ]
      },
-     "execution_count": 2,
+     "execution_count": 3,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -164,8 +163,15 @@
     "  [\"placeholder\", \"{agent_scratchpad}\"],\n",
     "]);\n",
     "\n",
-    "const agent = createToolCallingAgent({ llm, tools, prompt });\n",
-    "const agentExecutor = new AgentExecutor({ agent, tools });\n",
+    "const agent = createToolCallingAgent({\n",
+    "  llm,\n",
+    "  tools,\n",
+    "  prompt\n",
+    "});\n",
+    "const agentExecutor = new AgentExecutor({\n",
+    "  agent,\n",
+    "  tools,\n",
+    "});\n",
     "\n",
     "await agentExecutor.invoke({ input: query });"
    ]
@@ -185,7 +191,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 4,
    "id": "dcda7082",
    "metadata": {},
    "outputs": [
@@ -196,124 +202,77 @@
       "{\n",
       "  messages: [\n",
       "    HumanMessage {\n",
-      "      lc_serializable: true,\n",
-      "      lc_kwargs: {\n",
-      "        content: \"what is the value of magic_function(3)?\",\n",
-      "        additional_kwargs: {},\n",
-      "        response_metadata: {}\n",
-      "      },\n",
-      "      lc_namespace: [ \"langchain_core\", \"messages\" ],\n",
-      "      content: \"what is the value of magic_function(3)?\",\n",
-      "      name: undefined,\n",
-      "      additional_kwargs: {},\n",
-      "      response_metadata: {}\n",
+      "      \"id\": \"eeef343c-80d1-4ccb-86af-c109343689cd\",\n",
+      "      \"content\": \"what is the value of magic_function(3)?\",\n",
+      "      \"additional_kwargs\": {},\n",
+      "      \"response_metadata\": {}\n",
       "    },\n",
       "    AIMessage {\n",
-      "      lc_serializable: true,\n",
-      "      lc_kwargs: {\n",
-      "        content: [ [Object] ],\n",
-      "        additional_kwargs: {\n",
-      "          id: \"msg_015jSku8UgrtRQ2kNQuTsvi1\",\n",
-      "          type: \"message\",\n",
-      "          role: \"assistant\",\n",
-      "          model: \"claude-3-haiku-20240307\",\n",
-      "          stop_reason: \"tool_use\",\n",
-      "          stop_sequence: null,\n",
-      "          usage: [Object]\n",
-      "        },\n",
-      "        tool_calls: [ [Object] ],\n",
-      "        invalid_tool_calls: [],\n",
-      "        response_metadata: {}\n",
-      "      },\n",
-      "      lc_namespace: [ \"langchain_core\", \"messages\" ],\n",
-      "      content: [\n",
-      "        {\n",
-      "          type: \"tool_use\",\n",
-      "          id: \"toolu_01WCezi2ywMPnRm1xbrXYPoB\",\n",
-      "          name: \"magic_function\",\n",
-      "          input: [Object]\n",
-      "        }\n",
-      "      ],\n",
-      "      name: undefined,\n",
-      "      additional_kwargs: {\n",
-      "        id: \"msg_015jSku8UgrtRQ2kNQuTsvi1\",\n",
-      "        type: \"message\",\n",
-      "        role: \"assistant\",\n",
-      "        model: \"claude-3-haiku-20240307\",\n",
-      "        stop_reason: \"tool_use\",\n",
-      "        stop_sequence: null,\n",
-      "        usage: { input_tokens: 365, output_tokens: 53 }\n",
+      "      \"id\": \"chatcmpl-A7exs2uRqEipaZ7MtRbXnqu0vT0Da\",\n",
+      "      \"content\": \"\",\n",
+      "      \"additional_kwargs\": {\n",
+      "        \"tool_calls\": [\n",
+      "          {\n",
+      "            \"id\": \"call_MtwWLn000BQHeSYQKsbxYNR0\",\n",
+      "            \"type\": \"function\",\n",
+      "            \"function\": \"[Object]\"\n",
+      "          }\n",
+      "        ]\n",
       "      },\n",
-      "      response_metadata: {\n",
-      "        id: \"msg_015jSku8UgrtRQ2kNQuTsvi1\",\n",
-      "        model: \"claude-3-haiku-20240307\",\n",
-      "        stop_reason: \"tool_use\",\n",
-      "        stop_sequence: null,\n",
-      "        usage: { input_tokens: 365, output_tokens: 53 }\n",
+      "      \"response_metadata\": {\n",
+      "        \"tokenUsage\": {\n",
+      "          \"completionTokens\": 14,\n",
+      "          \"promptTokens\": 55,\n",
+      "          \"totalTokens\": 69\n",
+      "        },\n",
+      "        \"finish_reason\": \"tool_calls\",\n",
+      "        \"system_fingerprint\": \"fp_483d39d857\"\n",
       "      },\n",
-      "      tool_calls: [\n",
+      "      \"tool_calls\": [\n",
       "        {\n",
-      "          name: \"magic_function\",\n",
-      "          args: [Object],\n",
-      "          id: \"toolu_01WCezi2ywMPnRm1xbrXYPoB\"\n",
+      "          \"name\": \"magic_function\",\n",
+      "          \"args\": {\n",
+      "            \"input\": 3\n",
+      "          },\n",
+      "          \"type\": \"tool_call\",\n",
+      "          \"id\": \"call_MtwWLn000BQHeSYQKsbxYNR0\"\n",
       "        }\n",
       "      ],\n",
-      "      invalid_tool_calls: []\n",
+      "      \"invalid_tool_calls\": [],\n",
+      "      \"usage_metadata\": {\n",
+      "        \"input_tokens\": 55,\n",
+      "        \"output_tokens\": 14,\n",
+      "        \"total_tokens\": 69\n",
+      "      }\n",
       "    },\n",
       "    ToolMessage {\n",
-      "      lc_serializable: true,\n",
-      "      lc_kwargs: {\n",
-      "        name: \"magic_function\",\n",
-      "        content: \"5\",\n",
-      "        tool_call_id: \"toolu_01WCezi2ywMPnRm1xbrXYPoB\",\n",
-      "        additional_kwargs: {},\n",
-      "        response_metadata: {}\n",
-      "      },\n",
-      "      lc_namespace: [ \"langchain_core\", \"messages\" ],\n",
-      "      content: \"5\",\n",
-      "      name: \"magic_function\",\n",
-      "      additional_kwargs: {},\n",
-      "      response_metadata: {},\n",
-      "      tool_call_id: \"toolu_01WCezi2ywMPnRm1xbrXYPoB\"\n",
+      "      \"id\": \"1001bf20-7cde-4f8b-81f1-1faa654a8bb4\",\n",
+      "      \"content\": \"5\",\n",
+      "      \"name\": \"magic_function\",\n",
+      "      \"additional_kwargs\": {},\n",
+      "      \"response_metadata\": {},\n",
+      "      \"tool_call_id\": \"call_MtwWLn000BQHeSYQKsbxYNR0\"\n",
       "    },\n",
       "    AIMessage {\n",
-      "      lc_serializable: true,\n",
-      "      lc_kwargs: {\n",
-      "        content: \"The value of magic_function(3) is 5.\",\n",
-      "        tool_calls: [],\n",
-      "        invalid_tool_calls: [],\n",
-      "        additional_kwargs: {\n",
-      "          id: \"msg_01FbyPvpxtczu2Cmd4vKcPQm\",\n",
-      "          type: \"message\",\n",
-      "          role: \"assistant\",\n",
-      "          model: \"claude-3-haiku-20240307\",\n",
-      "          stop_reason: \"end_turn\",\n",
-      "          stop_sequence: null,\n",
-      "          usage: [Object]\n",
+      "      \"id\": \"chatcmpl-A7exsTk3ilzGzC8DuY8GpnKOaGdvx\",\n",
+      "      \"content\": \"The value of `magic_function(3)` is 5.\",\n",
+      "      \"additional_kwargs\": {},\n",
+      "      \"response_metadata\": {\n",
+      "        \"tokenUsage\": {\n",
+      "          \"completionTokens\": 14,\n",
+      "          \"promptTokens\": 78,\n",
+      "          \"totalTokens\": 92\n",
       "        },\n",
-      "        response_metadata: {}\n",
-      "      },\n",
-      "      lc_namespace: [ \"langchain_core\", \"messages\" ],\n",
-      "      content: \"The value of magic_function(3) is 5.\",\n",
-      "      name: undefined,\n",
-      "      additional_kwargs: {\n",
-      "        id: \"msg_01FbyPvpxtczu2Cmd4vKcPQm\",\n",
-      "        type: \"message\",\n",
-      "        role: \"assistant\",\n",
-      "        model: \"claude-3-haiku-20240307\",\n",
-      "        stop_reason: \"end_turn\",\n",
-      "        stop_sequence: null,\n",
-      "        usage: { input_tokens: 431, output_tokens: 17 }\n",
+      "        \"finish_reason\": \"stop\",\n",
+      "        \"system_fingerprint\": \"fp_54e2f484be\"\n",
       "      },\n",
-      "      response_metadata: {\n",
-      "        id: \"msg_01FbyPvpxtczu2Cmd4vKcPQm\",\n",
-      "        model: \"claude-3-haiku-20240307\",\n",
-      "        stop_reason: \"end_turn\",\n",
-      "        stop_sequence: null,\n",
-      "        usage: { input_tokens: 431, output_tokens: 17 }\n",
-      "      },\n",
-      "      tool_calls: [],\n",
-      "      invalid_tool_calls: []\n",
+      "      \"tool_calls\": [],\n",
+      "      \"invalid_tool_calls\": [],\n",
+      "      \"usage_metadata\": {\n",
+      "        \"input_tokens\": 78,\n",
+      "        \"output_tokens\": 14,\n",
+      "        \"total_tokens\": 92\n",
+      "      }\n",
       "    }\n",
       "  ]\n",
       "}\n"
@@ -322,13 +281,18 @@
    ],
    "source": [
     "import { createReactAgent } from \"@langchain/langgraph/prebuilt\";\n",
-    "import { HumanMessage } from \"@langchain/core/messages\";\n",
     "\n",
-    "const app = createReactAgent({ llm, tools });\n",
+    "const app = createReactAgent({\n",
+    "  llm,\n",
+    "  tools,\n",
+    "});\n",
     "\n",
     "let agentOutput = await app.invoke({\n",
     "  messages: [\n",
-    "    new HumanMessage(query)\n",
+    "    {\n",
+    "      role: \"user\",\n",
+    "      content: query\n",
+    "    },\n",
     "  ],\n",
     "});\n",
     "\n",
@@ -337,7 +301,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 5,
    "id": "b0a390a2",
    "metadata": {},
    "outputs": [
@@ -347,186 +311,110 @@
        "{\n",
        "  messages: [\n",
        "    HumanMessage {\n",
-       "      lc_serializable: \u001b[33mtrue\u001b[39m,\n",
-       "      lc_kwargs: {\n",
-       "        content: \u001b[32m\"what is the value of magic_function(3)?\"\u001b[39m,\n",
-       "        additional_kwargs: {},\n",
-       "        response_metadata: {}\n",
-       "      },\n",
-       "      lc_namespace: [ \u001b[32m\"langchain_core\"\u001b[39m, \u001b[32m\"messages\"\u001b[39m ],\n",
-       "      content: \u001b[32m\"what is the value of magic_function(3)?\"\u001b[39m,\n",
-       "      name: \u001b[90mundefined\u001b[39m,\n",
-       "      additional_kwargs: {},\n",
-       "      response_metadata: {}\n",
+       "      \"id\": \"eeef343c-80d1-4ccb-86af-c109343689cd\",\n",
+       "      \"content\": \"what is the value of magic_function(3)?\",\n",
+       "      \"additional_kwargs\": {},\n",
+       "      \"response_metadata\": {}\n",
        "    },\n",
        "    AIMessage {\n",
-       "      lc_serializable: \u001b[33mtrue\u001b[39m,\n",
-       "      lc_kwargs: {\n",
-       "        content: [ \u001b[36m[Object]\u001b[39m ],\n",
-       "        additional_kwargs: {\n",
-       "          id: \u001b[32m\"msg_015jSku8UgrtRQ2kNQuTsvi1\"\u001b[39m,\n",
-       "          type: \u001b[32m\"message\"\u001b[39m,\n",
-       "          role: \u001b[32m\"assistant\"\u001b[39m,\n",
-       "          model: \u001b[32m\"claude-3-haiku-20240307\"\u001b[39m,\n",
-       "          stop_reason: \u001b[32m\"tool_use\"\u001b[39m,\n",
-       "          stop_sequence: \u001b[1mnull\u001b[22m,\n",
-       "          usage: \u001b[36m[Object]\u001b[39m\n",
-       "        },\n",
-       "        tool_calls: [ \u001b[36m[Object]\u001b[39m ],\n",
-       "        invalid_tool_calls: [],\n",
-       "        response_metadata: {}\n",
+       "      \"id\": \"chatcmpl-A7exs2uRqEipaZ7MtRbXnqu0vT0Da\",\n",
+       "      \"content\": \"\",\n",
+       "      \"additional_kwargs\": {\n",
+       "        \"tool_calls\": [\n",
+       "          {\n",
+       "            \"id\": \"call_MtwWLn000BQHeSYQKsbxYNR0\",\n",
+       "            \"type\": \"function\",\n",
+       "            \"function\": \"[Object]\"\n",
+       "          }\n",
+       "        ]\n",
        "      },\n",
-       "      lc_namespace: [ \u001b[32m\"langchain_core\"\u001b[39m, \u001b[32m\"messages\"\u001b[39m ],\n",
-       "      content: [\n",
-       "        {\n",
-       "          type: \u001b[32m\"tool_use\"\u001b[39m,\n",
-       "          id: \u001b[32m\"toolu_01WCezi2ywMPnRm1xbrXYPoB\"\u001b[39m,\n",
-       "          name: \u001b[32m\"magic_function\"\u001b[39m,\n",
-       "          input: \u001b[36m[Object]\u001b[39m\n",
-       "        }\n",
-       "      ],\n",
-       "      name: \u001b[90mundefined\u001b[39m,\n",
-       "      additional_kwargs: {\n",
-       "        id: \u001b[32m\"msg_015jSku8UgrtRQ2kNQuTsvi1\"\u001b[39m,\n",
-       "        type: \u001b[32m\"message\"\u001b[39m,\n",
-       "        role: \u001b[32m\"assistant\"\u001b[39m,\n",
-       "        model: \u001b[32m\"claude-3-haiku-20240307\"\u001b[39m,\n",
-       "        stop_reason: \u001b[32m\"tool_use\"\u001b[39m,\n",
-       "        stop_sequence: \u001b[1mnull\u001b[22m,\n",
-       "        usage: { input_tokens: \u001b[33m365\u001b[39m, output_tokens: \u001b[33m53\u001b[39m }\n",
-       "      },\n",
-       "      response_metadata: {\n",
-       "        id: \u001b[32m\"msg_015jSku8UgrtRQ2kNQuTsvi1\"\u001b[39m,\n",
-       "        model: \u001b[32m\"claude-3-haiku-20240307\"\u001b[39m,\n",
-       "        stop_reason: \u001b[32m\"tool_use\"\u001b[39m,\n",
-       "        stop_sequence: \u001b[1mnull\u001b[22m,\n",
-       "        usage: { input_tokens: \u001b[33m365\u001b[39m, output_tokens: \u001b[33m53\u001b[39m }\n",
+       "      \"response_metadata\": {\n",
+       "        \"tokenUsage\": {\n",
+       "          \"completionTokens\": 14,\n",
+       "          \"promptTokens\": 55,\n",
+       "          \"totalTokens\": 69\n",
+       "        },\n",
+       "        \"finish_reason\": \"tool_calls\",\n",
+       "        \"system_fingerprint\": \"fp_483d39d857\"\n",
        "      },\n",
-       "      tool_calls: [\n",
+       "      \"tool_calls\": [\n",
        "        {\n",
-       "          name: \u001b[32m\"magic_function\"\u001b[39m,\n",
-       "          args: \u001b[36m[Object]\u001b[39m,\n",
-       "          id: \u001b[32m\"toolu_01WCezi2ywMPnRm1xbrXYPoB\"\u001b[39m\n",
+       "          \"name\": \"magic_function\",\n",
+       "          \"args\": {\n",
+       "            \"input\": 3\n",
+       "          },\n",
+       "          \"type\": \"tool_call\",\n",
+       "          \"id\": \"call_MtwWLn000BQHeSYQKsbxYNR0\"\n",
        "        }\n",
        "      ],\n",
-       "      invalid_tool_calls: []\n",
+       "      \"invalid_tool_calls\": [],\n",
+       "      \"usage_metadata\": {\n",
+       "        \"input_tokens\": 55,\n",
+       "        \"output_tokens\": 14,\n",
+       "        \"total_tokens\": 69\n",
+       "      }\n",
        "    },\n",
        "    ToolMessage {\n",
-       "      lc_serializable: \u001b[33mtrue\u001b[39m,\n",
-       "      lc_kwargs: {\n",
-       "        name: \u001b[32m\"magic_function\"\u001b[39m,\n",
-       "        content: \u001b[32m\"5\"\u001b[39m,\n",
-       "        tool_call_id: \u001b[32m\"toolu_01WCezi2ywMPnRm1xbrXYPoB\"\u001b[39m,\n",
-       "        additional_kwargs: {},\n",
-       "        response_metadata: {}\n",
-       "      },\n",
-       "      lc_namespace: [ \u001b[32m\"langchain_core\"\u001b[39m, \u001b[32m\"messages\"\u001b[39m ],\n",
-       "      content: \u001b[32m\"5\"\u001b[39m,\n",
-       "      name: \u001b[32m\"magic_function\"\u001b[39m,\n",
-       "      additional_kwargs: {},\n",
-       "      response_metadata: {},\n",
-       "      tool_call_id: \u001b[32m\"toolu_01WCezi2ywMPnRm1xbrXYPoB\"\u001b[39m\n",
+       "      \"id\": \"1001bf20-7cde-4f8b-81f1-1faa654a8bb4\",\n",
+       "      \"content\": \"5\",\n",
+       "      \"name\": \"magic_function\",\n",
+       "      \"additional_kwargs\": {},\n",
+       "      \"response_metadata\": {},\n",
+       "      \"tool_call_id\": \"call_MtwWLn000BQHeSYQKsbxYNR0\"\n",
        "    },\n",
        "    AIMessage {\n",
-       "      lc_serializable: \u001b[33mtrue\u001b[39m,\n",
-       "      lc_kwargs: {\n",
-       "        content: \u001b[32m\"The value of magic_function(3) is 5.\"\u001b[39m,\n",
-       "        tool_calls: [],\n",
-       "        invalid_tool_calls: [],\n",
-       "        additional_kwargs: {\n",
-       "          id: \u001b[32m\"msg_01FbyPvpxtczu2Cmd4vKcPQm\"\u001b[39m,\n",
-       "          type: \u001b[32m\"message\"\u001b[39m,\n",
-       "          role: \u001b[32m\"assistant\"\u001b[39m,\n",
-       "          model: \u001b[32m\"claude-3-haiku-20240307\"\u001b[39m,\n",
-       "          stop_reason: \u001b[32m\"end_turn\"\u001b[39m,\n",
-       "          stop_sequence: \u001b[1mnull\u001b[22m,\n",
-       "          usage: \u001b[36m[Object]\u001b[39m\n",
+       "      \"id\": \"chatcmpl-A7exsTk3ilzGzC8DuY8GpnKOaGdvx\",\n",
+       "      \"content\": \"The value of `magic_function(3)` is 5.\",\n",
+       "      \"additional_kwargs\": {},\n",
+       "      \"response_metadata\": {\n",
+       "        \"tokenUsage\": {\n",
+       "          \"completionTokens\": 14,\n",
+       "          \"promptTokens\": 78,\n",
+       "          \"totalTokens\": 92\n",
        "        },\n",
-       "        response_metadata: {}\n",
-       "      },\n",
-       "      lc_namespace: [ \u001b[32m\"langchain_core\"\u001b[39m, \u001b[32m\"messages\"\u001b[39m ],\n",
-       "      content: \u001b[32m\"The value of magic_function(3) is 5.\"\u001b[39m,\n",
-       "      name: \u001b[90mundefined\u001b[39m,\n",
-       "      additional_kwargs: {\n",
-       "        id: \u001b[32m\"msg_01FbyPvpxtczu2Cmd4vKcPQm\"\u001b[39m,\n",
-       "        type: \u001b[32m\"message\"\u001b[39m,\n",
-       "        role: \u001b[32m\"assistant\"\u001b[39m,\n",
-       "        model: \u001b[32m\"claude-3-haiku-20240307\"\u001b[39m,\n",
-       "        stop_reason: \u001b[32m\"end_turn\"\u001b[39m,\n",
-       "        stop_sequence: \u001b[1mnull\u001b[22m,\n",
-       "        usage: { input_tokens: \u001b[33m431\u001b[39m, output_tokens: \u001b[33m17\u001b[39m }\n",
+       "        \"finish_reason\": \"stop\",\n",
+       "        \"system_fingerprint\": \"fp_54e2f484be\"\n",
        "      },\n",
-       "      response_metadata: {\n",
-       "        id: \u001b[32m\"msg_01FbyPvpxtczu2Cmd4vKcPQm\"\u001b[39m,\n",
-       "        model: \u001b[32m\"claude-3-haiku-20240307\"\u001b[39m,\n",
-       "        stop_reason: \u001b[32m\"end_turn\"\u001b[39m,\n",
-       "        stop_sequence: \u001b[1mnull\u001b[22m,\n",
-       "        usage: { input_tokens: \u001b[33m431\u001b[39m, output_tokens: \u001b[33m17\u001b[39m }\n",
-       "      },\n",
-       "      tool_calls: [],\n",
-       "      invalid_tool_calls: []\n",
+       "      \"tool_calls\": [],\n",
+       "      \"invalid_tool_calls\": [],\n",
+       "      \"usage_metadata\": {\n",
+       "        \"input_tokens\": 78,\n",
+       "        \"output_tokens\": 14,\n",
+       "        \"total_tokens\": 92\n",
+       "      }\n",
        "    },\n",
        "    HumanMessage {\n",
-       "      lc_serializable: \u001b[33mtrue\u001b[39m,\n",
-       "      lc_kwargs: {\n",
-       "        content: \u001b[32m\"Pardon?\"\u001b[39m,\n",
-       "        additional_kwargs: {},\n",
-       "        response_metadata: {}\n",
-       "      },\n",
-       "      lc_namespace: [ \u001b[32m\"langchain_core\"\u001b[39m, \u001b[32m\"messages\"\u001b[39m ],\n",
-       "      content: \u001b[32m\"Pardon?\"\u001b[39m,\n",
-       "      name: \u001b[90mundefined\u001b[39m,\n",
-       "      additional_kwargs: {},\n",
-       "      response_metadata: {}\n",
+       "      \"id\": \"1f2a9f41-c8ff-48fe-9d93-e663ee9279ff\",\n",
+       "      \"content\": \"Pardon?\",\n",
+       "      \"additional_kwargs\": {},\n",
+       "      \"response_metadata\": {}\n",
        "    },\n",
        "    AIMessage {\n",
-       "      lc_serializable: \u001b[33mtrue\u001b[39m,\n",
-       "      lc_kwargs: {\n",
-       "        content: \u001b[32m\"I apologize for the confusion. Let me explain the steps I took to arrive at the result:\\n\"\u001b[39m +\n",
-       "          \u001b[32m\"\\n\"\u001b[39m +\n",
-       "          \u001b[32m\"1. You aske\"\u001b[39m... 52 more characters,\n",
-       "        tool_calls: [],\n",
-       "        invalid_tool_calls: [],\n",
-       "        additional_kwargs: {\n",
-       "          id: \u001b[32m\"msg_012yLSnnf1c64NWKS9K58hcN\"\u001b[39m,\n",
-       "          type: \u001b[32m\"message\"\u001b[39m,\n",
-       "          role: \u001b[32m\"assistant\"\u001b[39m,\n",
-       "          model: \u001b[32m\"claude-3-haiku-20240307\"\u001b[39m,\n",
-       "          stop_reason: \u001b[32m\"end_turn\"\u001b[39m,\n",
-       "          stop_sequence: \u001b[1mnull\u001b[22m,\n",
-       "          usage: \u001b[36m[Object]\u001b[39m\n",
+       "      \"id\": \"chatcmpl-A7exyTe9Ofs63Ex3sKwRx3wWksNup\",\n",
+       "      \"content\": \"The result of calling the `magic_function` with an input of 3 is 5.\",\n",
+       "      \"additional_kwargs\": {},\n",
+       "      \"response_metadata\": {\n",
+       "        \"tokenUsage\": {\n",
+       "          \"completionTokens\": 20,\n",
+       "          \"promptTokens\": 102,\n",
+       "          \"totalTokens\": 122\n",
        "        },\n",
-       "        response_metadata: {}\n",
-       "      },\n",
-       "      lc_namespace: [ \u001b[32m\"langchain_core\"\u001b[39m, \u001b[32m\"messages\"\u001b[39m ],\n",
-       "      content: \u001b[32m\"I apologize for the confusion. Let me explain the steps I took to arrive at the result:\\n\"\u001b[39m +\n",
-       "        \u001b[32m\"\\n\"\u001b[39m +\n",
-       "        \u001b[32m\"1. You aske\"\u001b[39m... 52 more characters,\n",
-       "      name: \u001b[90mundefined\u001b[39m,\n",
-       "      additional_kwargs: {\n",
-       "        id: \u001b[32m\"msg_012yLSnnf1c64NWKS9K58hcN\"\u001b[39m,\n",
-       "        type: \u001b[32m\"message\"\u001b[39m,\n",
-       "        role: \u001b[32m\"assistant\"\u001b[39m,\n",
-       "        model: \u001b[32m\"claude-3-haiku-20240307\"\u001b[39m,\n",
-       "        stop_reason: \u001b[32m\"end_turn\"\u001b[39m,\n",
-       "        stop_sequence: \u001b[1mnull\u001b[22m,\n",
-       "        usage: { input_tokens: \u001b[33m455\u001b[39m, output_tokens: \u001b[33m137\u001b[39m }\n",
-       "      },\n",
-       "      response_metadata: {\n",
-       "        id: \u001b[32m\"msg_012yLSnnf1c64NWKS9K58hcN\"\u001b[39m,\n",
-       "        model: \u001b[32m\"claude-3-haiku-20240307\"\u001b[39m,\n",
-       "        stop_reason: \u001b[32m\"end_turn\"\u001b[39m,\n",
-       "        stop_sequence: \u001b[1mnull\u001b[22m,\n",
-       "        usage: { input_tokens: \u001b[33m455\u001b[39m, output_tokens: \u001b[33m137\u001b[39m }\n",
+       "        \"finish_reason\": \"stop\",\n",
+       "        \"system_fingerprint\": \"fp_483d39d857\"\n",
        "      },\n",
-       "      tool_calls: [],\n",
-       "      invalid_tool_calls: []\n",
+       "      \"tool_calls\": [],\n",
+       "      \"invalid_tool_calls\": [],\n",
+       "      \"usage_metadata\": {\n",
+       "        \"input_tokens\": 102,\n",
+       "        \"output_tokens\": 20,\n",
+       "        \"total_tokens\": 122\n",
+       "      }\n",
        "    }\n",
        "  ]\n",
        "}"
       ]
      },
-     "execution_count": 4,
+     "execution_count": 5,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -538,7 +426,7 @@
     "agentOutput = await app.invoke({\n",
     "  messages: [\n",
     "    ...messageHistory,\n",
-    "    new HumanMessage(newQuery)\n",
+    "    { role: \"user\", content: newQuery }\n",
     "  ],\n",
     "});\n"
    ]
@@ -571,7 +459,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 6,
    "id": "4c5266cc",
    "metadata": {
     "lines_to_next_cell": 2
@@ -582,11 +470,11 @@
       "text/plain": [
        "{\n",
        "  input: \u001b[32m\"what is the value of magic_function(3)?\"\u001b[39m,\n",
-       "  output: \u001b[32m\"El valor de magic_function(3) es 5.\"\u001b[39m\n",
+       "  output: \u001b[32m\"El valor de `magic_function(3)` es 5.\"\u001b[39m\n",
        "}"
       ]
      },
-     "execution_count": 5,
+     "execution_count": 6,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -631,7 +519,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 7,
    "id": "38a751ba",
    "metadata": {
     "lines_to_next_cell": 2
@@ -641,54 +529,34 @@
      "data": {
       "text/plain": [
        "AIMessage {\n",
-       "  lc_serializable: \u001b[33mtrue\u001b[39m,\n",
-       "  lc_kwargs: {\n",
-       "    content: \u001b[32m\"El valor de magic_function(3) es 5.\"\u001b[39m,\n",
-       "    tool_calls: [],\n",
-       "    invalid_tool_calls: [],\n",
-       "    additional_kwargs: {\n",
-       "      id: \u001b[32m\"msg_01P5VUYbBZoeMaReqBgqFJZa\"\u001b[39m,\n",
-       "      type: \u001b[32m\"message\"\u001b[39m,\n",
-       "      role: \u001b[32m\"assistant\"\u001b[39m,\n",
-       "      model: \u001b[32m\"claude-3-haiku-20240307\"\u001b[39m,\n",
-       "      stop_reason: \u001b[32m\"end_turn\"\u001b[39m,\n",
-       "      stop_sequence: \u001b[1mnull\u001b[22m,\n",
-       "      usage: { input_tokens: \u001b[33m444\u001b[39m, output_tokens: \u001b[33m17\u001b[39m }\n",
+       "  \"id\": \"chatcmpl-A7ey8LGWAs8ldrRRcO5wlHM85w9T8\",\n",
+       "  \"content\": \"El valor de `magic_function(3)` es 5.\",\n",
+       "  \"additional_kwargs\": {},\n",
+       "  \"response_metadata\": {\n",
+       "    \"tokenUsage\": {\n",
+       "      \"completionTokens\": 14,\n",
+       "      \"promptTokens\": 89,\n",
+       "      \"totalTokens\": 103\n",
        "    },\n",
-       "    response_metadata: {}\n",
-       "  },\n",
-       "  lc_namespace: [ \u001b[32m\"langchain_core\"\u001b[39m, \u001b[32m\"messages\"\u001b[39m ],\n",
-       "  content: \u001b[32m\"El valor de magic_function(3) es 5.\"\u001b[39m,\n",
-       "  name: \u001b[90mundefined\u001b[39m,\n",
-       "  additional_kwargs: {\n",
-       "    id: \u001b[32m\"msg_01P5VUYbBZoeMaReqBgqFJZa\"\u001b[39m,\n",
-       "    type: \u001b[32m\"message\"\u001b[39m,\n",
-       "    role: \u001b[32m\"assistant\"\u001b[39m,\n",
-       "    model: \u001b[32m\"claude-3-haiku-20240307\"\u001b[39m,\n",
-       "    stop_reason: \u001b[32m\"end_turn\"\u001b[39m,\n",
-       "    stop_sequence: \u001b[1mnull\u001b[22m,\n",
-       "    usage: { input_tokens: \u001b[33m444\u001b[39m, output_tokens: \u001b[33m17\u001b[39m }\n",
-       "  },\n",
-       "  response_metadata: {\n",
-       "    id: \u001b[32m\"msg_01P5VUYbBZoeMaReqBgqFJZa\"\u001b[39m,\n",
-       "    model: \u001b[32m\"claude-3-haiku-20240307\"\u001b[39m,\n",
-       "    stop_reason: \u001b[32m\"end_turn\"\u001b[39m,\n",
-       "    stop_sequence: \u001b[1mnull\u001b[22m,\n",
-       "    usage: { input_tokens: \u001b[33m444\u001b[39m, output_tokens: \u001b[33m17\u001b[39m }\n",
+       "    \"finish_reason\": \"stop\",\n",
+       "    \"system_fingerprint\": \"fp_483d39d857\"\n",
        "  },\n",
-       "  tool_calls: [],\n",
-       "  invalid_tool_calls: []\n",
+       "  \"tool_calls\": [],\n",
+       "  \"invalid_tool_calls\": [],\n",
+       "  \"usage_metadata\": {\n",
+       "    \"input_tokens\": 89,\n",
+       "    \"output_tokens\": 14,\n",
+       "    \"total_tokens\": 103\n",
+       "  }\n",
        "}"
       ]
      },
-     "execution_count": 6,
+     "execution_count": 7,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "import { SystemMessage } from \"@langchain/core/messages\";\n",
-    "\n",
     "const systemMessage = \"You are a helpful assistant. Respond only in Spanish.\";\n",
     "\n",
     "// This could also be a SystemMessage object\n",
@@ -702,7 +570,7 @@
     "\n",
     "agentOutput = await appWithSystemMessage.invoke({\n",
     "  messages: [\n",
-    "    new HumanMessage(query)\n",
+    "    { role: \"user\", content: query }\n",
     "  ],\n",
     "});\n",
     "agentOutput.messages[agentOutput.messages.length - 1];"
@@ -721,7 +589,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 8,
    "id": "c7120cdd",
    "metadata": {},
    "outputs": [
@@ -731,13 +599,13 @@
      "text": [
       "{\n",
       "  input: \"what is the value of magic_function(3)?\",\n",
-      "  output: \"5. ¡Pandemonium!\"\n",
+      "  output: \"El valor de magic_function(3) es 5. ¡Pandemonium!\"\n",
       "}\n"
      ]
     }
    ],
    "source": [
-    "import { BaseMessage, SystemMessage } from \"@langchain/core/messages\";\n",
+    "import { BaseMessage, SystemMessage, HumanMessage } from \"@langchain/core/messages\";\n",
     "\n",
     "const modifyMessages = (messages: BaseMessage[]) => {\n",
     "  return [\n",
@@ -754,7 +622,7 @@
     "});\n",
     "\n",
     "agentOutput = await appWithMessagesModifier.invoke({\n",
-    "  messages: [new HumanMessage(query)],\n",
+    "  messages: [{ role: \"user\", content: query }],\n",
     "});\n",
     "\n",
     "console.log({\n",
@@ -776,7 +644,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 9,
    "id": "4d67ba36",
    "metadata": {},
    "outputs": [
@@ -784,11 +652,11 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "The magic_function takes an input number and applies some magic to it, returning the output. For an input of 3, the output is 5.\n",
+      "The output of the magic function for the input 3 is 5.\n",
       "---\n",
-      "Okay, I remember your name is Polly.\n",
+      "Yes, your name is Polly! How can I assist you today?\n",
       "---\n",
-      "So the output of the magic_function with an input of 3 is 5.\n"
+      "The output of the magic function for the input 3 is 5.\n"
      ]
     }
    ],
@@ -844,7 +712,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 10,
    "id": "bbc64438",
    "metadata": {},
    "outputs": [
@@ -852,25 +720,25 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "The magic_function takes an input number and applies some magic to it, returning the output. For an input of 3, the magic_function returns 5.\n",
+      "Hi Polly! The output of the magic function for the input 3 is 5.\n",
       "---\n",
-      "Ah yes, I remember your name is Polly! It's nice to meet you Polly.\n",
+      "Yes, your name is Polly!\n",
       "---\n",
-      "So the magic_function returned an output of 5 for an input of 3.\n"
+      "The output of the magic function for the input 3 was 5.\n"
      ]
     }
    ],
    "source": [
     "import { MemorySaver } from \"@langchain/langgraph\";\n",
     "\n",
-    "const memory = new MemorySaver();\n",
+    "const checkpointer = new MemorySaver();\n",
     "const appWithMemory = createReactAgent({\n",
-    "  llm,\n",
-    "  tools,\n",
-    "  checkpointSaver: memory\n",
+    "  llm: llm,\n",
+    "  tools: tools,\n",
+    "  checkpointSaver: checkpointer\n",
     "});\n",
     "\n",
-    "const config = {\n",
+    "const langGraphConfig = {\n",
     "  configurable: {\n",
     "    thread_id: \"test-thread\",\n",
     "  },\n",
@@ -879,12 +747,13 @@
     "agentOutput = await appWithMemory.invoke(\n",
     "  {\n",
     "    messages: [\n",
-    "      new HumanMessage(\n",
-    "        \"Hi, I'm polly! What's the output of magic_function of 3?\",\n",
-    "      ),\n",
+    "      {\n",
+    "        role: \"user\",\n",
+    "        content: \"Hi, I'm polly! What's the output of magic_function of 3?\",\n",
+    "      }\n",
     "    ],\n",
     "  },\n",
-    "  config,\n",
+    "  langGraphConfig,\n",
     ");\n",
     "\n",
     "console.log(agentOutput.messages[agentOutput.messages.length - 1].content);\n",
@@ -893,10 +762,10 @@
     "agentOutput = await appWithMemory.invoke(\n",
     "  {\n",
     "    messages: [\n",
-    "      new HumanMessage(\"Remember my name?\")\n",
+    "      { role: \"user\", content: \"Remember my name?\" }\n",
     "    ]\n",
     "  },\n",
-    "  config,\n",
+    "  langGraphConfig,\n",
     ");\n",
     "\n",
     "console.log(agentOutput.messages[agentOutput.messages.length - 1].content);\n",
@@ -905,10 +774,10 @@
     "agentOutput = await appWithMemory.invoke(\n",
     "  {\n",
     "    messages: [\n",
-    "      new HumanMessage(\"what was that output again?\")\n",
+    "      { role: \"user\", content: \"what was that output again?\" }\n",
     "    ]\n",
     "  },\n",
-    "  config,\n",
+    "  langGraphConfig,\n",
     ");\n",
     "\n",
     "console.log(agentOutput.messages[agentOutput.messages.length - 1].content);"
@@ -929,7 +798,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 11,
    "id": "5c928049",
    "metadata": {
     "lines_to_next_cell": 2
@@ -945,16 +814,61 @@
       "      action: {\n",
       "        tool: \"magic_function\",\n",
       "        toolInput: { input: 3 },\n",
-      "        toolCallId: \"toolu_01KCJJ8kyiY5LV4RHbVPzK8v\",\n",
-      "        log: 'Invoking \"magic_function\" with {\"input\":3}\\n' +\n",
-      "          '[{\"type\":\"tool_use\",\"id\":\"toolu_01KCJJ8kyiY5LV4RHbVPzK8v\"'... 46 more characters,\n",
-      "        messageLog: [ [AIMessageChunk] ]\n",
+      "        toolCallId: \"call_IQZr1yy2Ug6904VkQg6pWGgR\",\n",
+      "        log: 'Invoking \"magic_function\" with {\"input\":3}\\n',\n",
+      "        messageLog: [\n",
+      "          AIMessageChunk {\n",
+      "            \"id\": \"chatcmpl-A7eziUrDmLSSMoiOskhrfbsHqx4Sd\",\n",
+      "            \"content\": \"\",\n",
+      "            \"additional_kwargs\": {\n",
+      "              \"tool_calls\": [\n",
+      "                {\n",
+      "                  \"index\": 0,\n",
+      "                  \"id\": \"call_IQZr1yy2Ug6904VkQg6pWGgR\",\n",
+      "                  \"type\": \"function\",\n",
+      "                  \"function\": \"[Object]\"\n",
+      "                }\n",
+      "              ]\n",
+      "            },\n",
+      "            \"response_metadata\": {\n",
+      "              \"prompt\": 0,\n",
+      "              \"completion\": 0,\n",
+      "              \"finish_reason\": \"tool_calls\",\n",
+      "              \"system_fingerprint\": \"fp_483d39d857\"\n",
+      "            },\n",
+      "            \"tool_calls\": [\n",
+      "              {\n",
+      "                \"name\": \"magic_function\",\n",
+      "                \"args\": {\n",
+      "                  \"input\": 3\n",
+      "                },\n",
+      "                \"id\": \"call_IQZr1yy2Ug6904VkQg6pWGgR\",\n",
+      "                \"type\": \"tool_call\"\n",
+      "              }\n",
+      "            ],\n",
+      "            \"tool_call_chunks\": [\n",
+      "              {\n",
+      "                \"name\": \"magic_function\",\n",
+      "                \"args\": \"{\\\"input\\\":3}\",\n",
+      "                \"id\": \"call_IQZr1yy2Ug6904VkQg6pWGgR\",\n",
+      "                \"index\": 0,\n",
+      "                \"type\": \"tool_call_chunk\"\n",
+      "              }\n",
+      "            ],\n",
+      "            \"invalid_tool_calls\": [],\n",
+      "            \"usage_metadata\": {\n",
+      "              \"input_tokens\": 61,\n",
+      "              \"output_tokens\": 14,\n",
+      "              \"total_tokens\": 75\n",
+      "            }\n",
+      "          }\n",
+      "        ]\n",
       "      },\n",
       "      observation: \"5\"\n",
       "    }\n",
       "  ]\n",
       "}\n",
-      "{ output: \"The value of magic_function(3) is 5.\" }\n"
+      "{ output: \"The value of `magic_function(3)` is 5.\" }\n"
      ]
     }
    ],
@@ -978,7 +892,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 12,
    "id": "2be89a30",
    "metadata": {},
    "outputs": [
@@ -990,35 +904,42 @@
       "  agent: {\n",
       "    messages: [\n",
       "      AIMessage {\n",
-      "        lc_serializable: true,\n",
-      "        lc_kwargs: {\n",
-      "          content: [Array],\n",
-      "          additional_kwargs: [Object],\n",
-      "          tool_calls: [Array],\n",
-      "          invalid_tool_calls: [],\n",
-      "          response_metadata: {}\n",
-      "        },\n",
-      "        lc_namespace: [ \"langchain_core\", \"messages\" ],\n",
-      "        content: [ [Object] ],\n",
-      "        name: undefined,\n",
-      "        additional_kwargs: {\n",
-      "          id: \"msg_01WWYeJvJroT82QhJQZKdwSt\",\n",
-      "          type: \"message\",\n",
-      "          role: \"assistant\",\n",
-      "          model: \"claude-3-haiku-20240307\",\n",
-      "          stop_reason: \"tool_use\",\n",
-      "          stop_sequence: null,\n",
-      "          usage: [Object]\n",
+      "        \"id\": \"chatcmpl-A7ezu8hirCENjdjR2GpLjkzXFTEmp\",\n",
+      "        \"content\": \"\",\n",
+      "        \"additional_kwargs\": {\n",
+      "          \"tool_calls\": [\n",
+      "            {\n",
+      "              \"id\": \"call_KhhNL0m3mlPoJiboFMoX8hzk\",\n",
+      "              \"type\": \"function\",\n",
+      "              \"function\": \"[Object]\"\n",
+      "            }\n",
+      "          ]\n",
       "        },\n",
-      "        response_metadata: {\n",
-      "          id: \"msg_01WWYeJvJroT82QhJQZKdwSt\",\n",
-      "          model: \"claude-3-haiku-20240307\",\n",
-      "          stop_reason: \"tool_use\",\n",
-      "          stop_sequence: null,\n",
-      "          usage: [Object]\n",
+      "        \"response_metadata\": {\n",
+      "          \"tokenUsage\": {\n",
+      "            \"completionTokens\": 14,\n",
+      "            \"promptTokens\": 55,\n",
+      "            \"totalTokens\": 69\n",
+      "          },\n",
+      "          \"finish_reason\": \"tool_calls\",\n",
+      "          \"system_fingerprint\": \"fp_483d39d857\"\n",
       "        },\n",
-      "        tool_calls: [ [Object] ],\n",
-      "        invalid_tool_calls: []\n",
+      "        \"tool_calls\": [\n",
+      "          {\n",
+      "            \"name\": \"magic_function\",\n",
+      "            \"args\": {\n",
+      "              \"input\": 3\n",
+      "            },\n",
+      "            \"type\": \"tool_call\",\n",
+      "            \"id\": \"call_KhhNL0m3mlPoJiboFMoX8hzk\"\n",
+      "          }\n",
+      "        ],\n",
+      "        \"invalid_tool_calls\": [],\n",
+      "        \"usage_metadata\": {\n",
+      "          \"input_tokens\": 55,\n",
+      "          \"output_tokens\": 14,\n",
+      "          \"total_tokens\": 69\n",
+      "        }\n",
       "      }\n",
       "    ]\n",
       "  }\n",
@@ -1027,20 +948,11 @@
       "  tools: {\n",
       "    messages: [\n",
       "      ToolMessage {\n",
-      "        lc_serializable: true,\n",
-      "        lc_kwargs: {\n",
-      "          name: \"magic_function\",\n",
-      "          content: \"5\",\n",
-      "          tool_call_id: \"toolu_01X9pwxuroTWNVqiwQTL1U8C\",\n",
-      "          additional_kwargs: {},\n",
-      "          response_metadata: {}\n",
-      "        },\n",
-      "        lc_namespace: [ \"langchain_core\", \"messages\" ],\n",
-      "        content: \"5\",\n",
-      "        name: \"magic_function\",\n",
-      "        additional_kwargs: {},\n",
-      "        response_metadata: {},\n",
-      "        tool_call_id: \"toolu_01X9pwxuroTWNVqiwQTL1U8C\"\n",
+      "        \"content\": \"5\",\n",
+      "        \"name\": \"magic_function\",\n",
+      "        \"additional_kwargs\": {},\n",
+      "        \"response_metadata\": {},\n",
+      "        \"tool_call_id\": \"call_KhhNL0m3mlPoJiboFMoX8hzk\"\n",
       "      }\n",
       "    ]\n",
       "  }\n",
@@ -1049,35 +961,25 @@
       "  agent: {\n",
       "    messages: [\n",
       "      AIMessage {\n",
-      "        lc_serializable: true,\n",
-      "        lc_kwargs: {\n",
-      "          content: \"The value of magic_function(3) is 5.\",\n",
-      "          tool_calls: [],\n",
-      "          invalid_tool_calls: [],\n",
-      "          additional_kwargs: [Object],\n",
-      "          response_metadata: {}\n",
+      "        \"id\": \"chatcmpl-A7ezuTrh8GC550eKa1ZqRZGjpY5zh\",\n",
+      "        \"content\": \"The value of `magic_function(3)` is 5.\",\n",
+      "        \"additional_kwargs\": {},\n",
+      "        \"response_metadata\": {\n",
+      "          \"tokenUsage\": {\n",
+      "            \"completionTokens\": 14,\n",
+      "            \"promptTokens\": 78,\n",
+      "            \"totalTokens\": 92\n",
+      "          },\n",
+      "          \"finish_reason\": \"stop\",\n",
+      "          \"system_fingerprint\": \"fp_483d39d857\"\n",
       "        },\n",
-      "        lc_namespace: [ \"langchain_core\", \"messages\" ],\n",
-      "        content: \"The value of magic_function(3) is 5.\",\n",
-      "        name: undefined,\n",
-      "        additional_kwargs: {\n",
-      "          id: \"msg_012kQPkxt2CrsFw4CsdfNTWr\",\n",
-      "          type: \"message\",\n",
-      "          role: \"assistant\",\n",
-      "          model: \"claude-3-haiku-20240307\",\n",
-      "          stop_reason: \"end_turn\",\n",
-      "          stop_sequence: null,\n",
-      "          usage: [Object]\n",
-      "        },\n",
-      "        response_metadata: {\n",
-      "          id: \"msg_012kQPkxt2CrsFw4CsdfNTWr\",\n",
-      "          model: \"claude-3-haiku-20240307\",\n",
-      "          stop_reason: \"end_turn\",\n",
-      "          stop_sequence: null,\n",
-      "          usage: [Object]\n",
-      "        },\n",
-      "        tool_calls: [],\n",
-      "        invalid_tool_calls: []\n",
+      "        \"tool_calls\": [],\n",
+      "        \"invalid_tool_calls\": [],\n",
+      "        \"usage_metadata\": {\n",
+      "          \"input_tokens\": 78,\n",
+      "          \"output_tokens\": 14,\n",
+      "          \"total_tokens\": 92\n",
+      "        }\n",
       "      }\n",
       "    ]\n",
       "  }\n",
@@ -1087,7 +989,7 @@
    ],
    "source": [
     "const langGraphStream = await app.stream(\n",
-    "  { messages: [new HumanMessage(query)] },\n",
+    "  { messages: [{ role: \"user\", content: query }] },\n",
     "  { streamMode: \"updates\" },\n",
     ");\n",
     "\n",
@@ -1110,7 +1012,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 13,
    "id": "77ce2771",
    "metadata": {
     "lines_to_next_cell": 2
@@ -1125,21 +1027,53 @@
       "    action: {\n",
       "      tool: \"magic_function\",\n",
       "      toolInput: { input: 3 },\n",
-      "      toolCallId: \"toolu_0126dJXbjwLC5daAScz8bw1k\",\n",
-      "      log: 'Invoking \"magic_function\" with {\"input\":3}\\n' +\n",
-      "        '[{\"type\":\"tool_use\",\"id\":\"toolu_0126dJXbjwLC5daAScz8bw1k\"'... 46 more characters,\n",
+      "      toolCallId: \"call_mbg1xgLEYEEWClbEaDe7p5tK\",\n",
+      "      log: 'Invoking \"magic_function\" with {\"input\":3}\\n',\n",
       "      messageLog: [\n",
       "        AIMessageChunk {\n",
-      "          lc_serializable: true,\n",
-      "          lc_kwargs: [Object],\n",
-      "          lc_namespace: [Array],\n",
-      "          content: [Array],\n",
-      "          name: undefined,\n",
-      "          additional_kwargs: [Object],\n",
-      "          response_metadata: {},\n",
-      "          tool_calls: [Array],\n",
-      "          invalid_tool_calls: [],\n",
-      "          tool_call_chunks: [Array]\n",
+      "          \"id\": \"chatcmpl-A7f0NdSRSUJsBP6ENTpiQD4LzpBAH\",\n",
+      "          \"content\": \"\",\n",
+      "          \"additional_kwargs\": {\n",
+      "            \"tool_calls\": [\n",
+      "              {\n",
+      "                \"index\": 0,\n",
+      "                \"id\": \"call_mbg1xgLEYEEWClbEaDe7p5tK\",\n",
+      "                \"type\": \"function\",\n",
+      "                \"function\": \"[Object]\"\n",
+      "              }\n",
+      "            ]\n",
+      "          },\n",
+      "          \"response_metadata\": {\n",
+      "            \"prompt\": 0,\n",
+      "            \"completion\": 0,\n",
+      "            \"finish_reason\": \"tool_calls\",\n",
+      "            \"system_fingerprint\": \"fp_54e2f484be\"\n",
+      "          },\n",
+      "          \"tool_calls\": [\n",
+      "            {\n",
+      "              \"name\": \"magic_function\",\n",
+      "              \"args\": {\n",
+      "                \"input\": 3\n",
+      "              },\n",
+      "              \"id\": \"call_mbg1xgLEYEEWClbEaDe7p5tK\",\n",
+      "              \"type\": \"tool_call\"\n",
+      "            }\n",
+      "          ],\n",
+      "          \"tool_call_chunks\": [\n",
+      "            {\n",
+      "              \"name\": \"magic_function\",\n",
+      "              \"args\": \"{\\\"input\\\":3}\",\n",
+      "              \"id\": \"call_mbg1xgLEYEEWClbEaDe7p5tK\",\n",
+      "              \"index\": 0,\n",
+      "              \"type\": \"tool_call_chunk\"\n",
+      "            }\n",
+      "          ],\n",
+      "          \"invalid_tool_calls\": [],\n",
+      "          \"usage_metadata\": {\n",
+      "            \"input_tokens\": 61,\n",
+      "            \"output_tokens\": 14,\n",
+      "            \"total_tokens\": 75\n",
+      "          }\n",
       "        }\n",
       "      ]\n",
       "    },\n",
@@ -1176,7 +1110,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 14,
    "id": "2f9cdfa8",
    "metadata": {
     "lines_to_next_cell": 2
@@ -1188,137 +1122,77 @@
      "text": [
       "[\n",
       "  HumanMessage {\n",
-      "    lc_serializable: true,\n",
-      "    lc_kwargs: {\n",
-      "      content: \"what is the value of magic_function(3)?\",\n",
-      "      additional_kwargs: {},\n",
-      "      response_metadata: {}\n",
-      "    },\n",
-      "    lc_namespace: [ \"langchain_core\", \"messages\" ],\n",
-      "    content: \"what is the value of magic_function(3)?\",\n",
-      "    name: undefined,\n",
-      "    additional_kwargs: {},\n",
-      "    response_metadata: {}\n",
+      "    \"id\": \"46a825b2-13a3-4f19-b1aa-7716c53eb247\",\n",
+      "    \"content\": \"what is the value of magic_function(3)?\",\n",
+      "    \"additional_kwargs\": {},\n",
+      "    \"response_metadata\": {}\n",
       "  },\n",
       "  AIMessage {\n",
-      "    lc_serializable: true,\n",
-      "    lc_kwargs: {\n",
-      "      content: [\n",
-      "        {\n",
-      "          type: \"tool_use\",\n",
-      "          id: \"toolu_01L2N6TKrZxyUWRCQZ5qLYVj\",\n",
-      "          name: \"magic_function\",\n",
-      "          input: [Object]\n",
-      "        }\n",
-      "      ],\n",
-      "      additional_kwargs: {\n",
-      "        id: \"msg_01BhXyjA2PTwGC5J3JNnfAXY\",\n",
-      "        type: \"message\",\n",
-      "        role: \"assistant\",\n",
-      "        model: \"claude-3-haiku-20240307\",\n",
-      "        stop_reason: \"tool_use\",\n",
-      "        stop_sequence: null,\n",
-      "        usage: { input_tokens: 365, output_tokens: 53 }\n",
-      "      },\n",
-      "      tool_calls: [\n",
+      "    \"id\": \"chatcmpl-A7f0iUuWktC8gXztWZCjofqyCozY2\",\n",
+      "    \"content\": \"\",\n",
+      "    \"additional_kwargs\": {\n",
+      "      \"tool_calls\": [\n",
       "        {\n",
-      "          name: \"magic_function\",\n",
-      "          args: [Object],\n",
-      "          id: \"toolu_01L2N6TKrZxyUWRCQZ5qLYVj\"\n",
+      "          \"id\": \"call_ndsPDU58wsMeGaqr41cSlLlF\",\n",
+      "          \"type\": \"function\",\n",
+      "          \"function\": \"[Object]\"\n",
       "        }\n",
-      "      ],\n",
-      "      invalid_tool_calls: [],\n",
-      "      response_metadata: {}\n",
-      "    },\n",
-      "    lc_namespace: [ \"langchain_core\", \"messages\" ],\n",
-      "    content: [\n",
-      "      {\n",
-      "        type: \"tool_use\",\n",
-      "        id: \"toolu_01L2N6TKrZxyUWRCQZ5qLYVj\",\n",
-      "        name: \"magic_function\",\n",
-      "        input: { input: 3 }\n",
-      "      }\n",
-      "    ],\n",
-      "    name: undefined,\n",
-      "    additional_kwargs: {\n",
-      "      id: \"msg_01BhXyjA2PTwGC5J3JNnfAXY\",\n",
-      "      type: \"message\",\n",
-      "      role: \"assistant\",\n",
-      "      model: \"claude-3-haiku-20240307\",\n",
-      "      stop_reason: \"tool_use\",\n",
-      "      stop_sequence: null,\n",
-      "      usage: { input_tokens: 365, output_tokens: 53 }\n",
+      "      ]\n",
       "    },\n",
-      "    response_metadata: {\n",
-      "      id: \"msg_01BhXyjA2PTwGC5J3JNnfAXY\",\n",
-      "      model: \"claude-3-haiku-20240307\",\n",
-      "      stop_reason: \"tool_use\",\n",
-      "      stop_sequence: null,\n",
-      "      usage: { input_tokens: 365, output_tokens: 53 }\n",
+      "    \"response_metadata\": {\n",
+      "      \"tokenUsage\": {\n",
+      "        \"completionTokens\": 14,\n",
+      "        \"promptTokens\": 55,\n",
+      "        \"totalTokens\": 69\n",
+      "      },\n",
+      "      \"finish_reason\": \"tool_calls\",\n",
+      "      \"system_fingerprint\": \"fp_483d39d857\"\n",
       "    },\n",
-      "    tool_calls: [\n",
+      "    \"tool_calls\": [\n",
       "      {\n",
-      "        name: \"magic_function\",\n",
-      "        args: { input: 3 },\n",
-      "        id: \"toolu_01L2N6TKrZxyUWRCQZ5qLYVj\"\n",
+      "        \"name\": \"magic_function\",\n",
+      "        \"args\": {\n",
+      "          \"input\": 3\n",
+      "        },\n",
+      "        \"type\": \"tool_call\",\n",
+      "        \"id\": \"call_ndsPDU58wsMeGaqr41cSlLlF\"\n",
       "      }\n",
       "    ],\n",
-      "    invalid_tool_calls: []\n",
+      "    \"invalid_tool_calls\": [],\n",
+      "    \"usage_metadata\": {\n",
+      "      \"input_tokens\": 55,\n",
+      "      \"output_tokens\": 14,\n",
+      "      \"total_tokens\": 69\n",
+      "    }\n",
       "  },\n",
       "  ToolMessage {\n",
-      "    lc_serializable: true,\n",
-      "    lc_kwargs: {\n",
-      "      name: \"magic_function\",\n",
-      "      content: \"5\",\n",
-      "      tool_call_id: \"toolu_01L2N6TKrZxyUWRCQZ5qLYVj\",\n",
-      "      additional_kwargs: {},\n",
-      "      response_metadata: {}\n",
-      "    },\n",
-      "    lc_namespace: [ \"langchain_core\", \"messages\" ],\n",
-      "    content: \"5\",\n",
-      "    name: \"magic_function\",\n",
-      "    additional_kwargs: {},\n",
-      "    response_metadata: {},\n",
-      "    tool_call_id: \"toolu_01L2N6TKrZxyUWRCQZ5qLYVj\"\n",
+      "    \"id\": \"ac6aa309-bbfb-46cd-ba27-cbdbfd848705\",\n",
+      "    \"content\": \"5\",\n",
+      "    \"name\": \"magic_function\",\n",
+      "    \"additional_kwargs\": {},\n",
+      "    \"response_metadata\": {},\n",
+      "    \"tool_call_id\": \"call_ndsPDU58wsMeGaqr41cSlLlF\"\n",
       "  },\n",
       "  AIMessage {\n",
-      "    lc_serializable: true,\n",
-      "    lc_kwargs: {\n",
-      "      content: \"The value of magic_function(3) is 5.\",\n",
-      "      tool_calls: [],\n",
-      "      invalid_tool_calls: [],\n",
-      "      additional_kwargs: {\n",
-      "        id: \"msg_01ABtcXJ4CwMHphYYmffQZoF\",\n",
-      "        type: \"message\",\n",
-      "        role: \"assistant\",\n",
-      "        model: \"claude-3-haiku-20240307\",\n",
-      "        stop_reason: \"end_turn\",\n",
-      "        stop_sequence: null,\n",
-      "        usage: { input_tokens: 431, output_tokens: 17 }\n",
+      "    \"id\": \"chatcmpl-A7f0i7iHyDUV6is6sgwtcXivmFZ1x\",\n",
+      "    \"content\": \"The value of `magic_function(3)` is 5.\",\n",
+      "    \"additional_kwargs\": {},\n",
+      "    \"response_metadata\": {\n",
+      "      \"tokenUsage\": {\n",
+      "        \"completionTokens\": 14,\n",
+      "        \"promptTokens\": 78,\n",
+      "        \"totalTokens\": 92\n",
       "      },\n",
-      "      response_metadata: {}\n",
-      "    },\n",
-      "    lc_namespace: [ \"langchain_core\", \"messages\" ],\n",
-      "    content: \"The value of magic_function(3) is 5.\",\n",
-      "    name: undefined,\n",
-      "    additional_kwargs: {\n",
-      "      id: \"msg_01ABtcXJ4CwMHphYYmffQZoF\",\n",
-      "      type: \"message\",\n",
-      "      role: \"assistant\",\n",
-      "      model: \"claude-3-haiku-20240307\",\n",
-      "      stop_reason: \"end_turn\",\n",
-      "      stop_sequence: null,\n",
-      "      usage: { input_tokens: 431, output_tokens: 17 }\n",
-      "    },\n",
-      "    response_metadata: {\n",
-      "      id: \"msg_01ABtcXJ4CwMHphYYmffQZoF\",\n",
-      "      model: \"claude-3-haiku-20240307\",\n",
-      "      stop_reason: \"end_turn\",\n",
-      "      stop_sequence: null,\n",
-      "      usage: { input_tokens: 431, output_tokens: 17 }\n",
+      "      \"finish_reason\": \"stop\",\n",
+      "      \"system_fingerprint\": \"fp_54e2f484be\"\n",
       "    },\n",
-      "    tool_calls: [],\n",
-      "    invalid_tool_calls: []\n",
+      "    \"tool_calls\": [],\n",
+      "    \"invalid_tool_calls\": [],\n",
+      "    \"usage_metadata\": {\n",
+      "      \"input_tokens\": 78,\n",
+      "      \"output_tokens\": 14,\n",
+      "      \"total_tokens\": 92\n",
+      "    }\n",
       "  }\n",
       "]\n"
      ]
@@ -1327,7 +1201,7 @@
    "source": [
     "agentOutput = await app.invoke({\n",
     "  messages: [\n",
-    "    new HumanMessage(query)\n",
+    "    { role: \"user\", content: query },\n",
     "  ]\n",
     "});\n",
     "\n",
@@ -1349,229 +1223,20 @@
     "limit, so we will need to multiply by two (and add one) to get equivalent\n",
     "results.\n",
     "\n",
-    "If the recursion limit is reached, LangGraph raises a specific exception type,\n",
-    "that we can catch and manage similarly to AgentExecutor.\n"
+    "Here's an example of how you'd set this parameter with the legacy `AgentExecutor`:"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": null,
    "id": "1cca9d11",
    "metadata": {
     "lines_to_next_cell": 2
    },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "\u001b[32m[chain/start]\u001b[39m [\u001b[90m\u001b[1m1:chain:AgentExecutor\u001b[22m\u001b[39m] Entering Chain run with input: {\n",
-      "  \"input\": \"what is the value of magic_function(3)?\"\n",
-      "}\n",
-      "\u001b[32m[chain/start]\u001b[39m [\u001b[90m1:chain:AgentExecutor > \u001b[1m2:chain:ToolCallingAgent\u001b[22m\u001b[39m] Entering Chain run with input: {\n",
-      "  \"input\": \"what is the value of magic_function(3)?\",\n",
-      "  \"steps\": []\n",
-      "}\n",
-      "\u001b[32m[chain/start]\u001b[39m [\u001b[90m1:chain:AgentExecutor > 2:chain:ToolCallingAgent > \u001b[1m3:chain:RunnableAssign\u001b[22m\u001b[39m] Entering Chain run with input: {\n",
-      "  \"input\": \"\"\n",
-      "}\n",
-      "\u001b[32m[chain/start]\u001b[39m [\u001b[90m1:chain:AgentExecutor > 2:chain:ToolCallingAgent > 3:chain:RunnableAssign > \u001b[1m4:chain:RunnableMap\u001b[22m\u001b[39m] Entering Chain run with input: {\n",
-      "  \"input\": \"\"\n",
-      "}\n",
-      "\u001b[32m[chain/start]\u001b[39m [\u001b[90m1:chain:AgentExecutor > 2:chain:ToolCallingAgent > 3:chain:RunnableAssign > 4:chain:RunnableMap > \u001b[1m5:chain:RunnableLambda\u001b[22m\u001b[39m] Entering Chain run with input: {\n",
-      "  \"input\": \"\"\n",
-      "}\n",
-      "\u001b[36m[chain/end]\u001b[39m [\u001b[90m1:chain:AgentExecutor > 2:chain:ToolCallingAgent > 3:chain:RunnableAssign > 4:chain:RunnableMap > \u001b[1m5:chain:RunnableLambda\u001b[22m\u001b[39m] [0ms] Exiting Chain run with output: {\n",
-      "  \"output\": []\n",
-      "}\n",
-      "\u001b[36m[chain/end]\u001b[39m [\u001b[90m1:chain:AgentExecutor > 2:chain:ToolCallingAgent > 3:chain:RunnableAssign > \u001b[1m4:chain:RunnableMap\u001b[22m\u001b[39m] [1ms] Exiting Chain run with output: {\n",
-      "  \"agent_scratchpad\": []\n",
-      "}\n",
-      "\u001b[36m[chain/end]\u001b[39m [\u001b[90m1:chain:AgentExecutor > 2:chain:ToolCallingAgent > \u001b[1m3:chain:RunnableAssign\u001b[22m\u001b[39m] [1ms] Exiting Chain run with output: {\n",
-      "  \"input\": \"what is the value of magic_function(3)?\",\n",
-      "  \"steps\": [],\n",
-      "  \"agent_scratchpad\": []\n",
-      "}\n",
-      "\u001b[32m[chain/start]\u001b[39m [\u001b[90m1:chain:AgentExecutor > 2:chain:ToolCallingAgent > \u001b[1m6:prompt:ChatPromptTemplate\u001b[22m\u001b[39m] Entering Chain run with input: {\n",
-      "  \"input\": \"what is the value of magic_function(3)?\",\n",
-      "  \"steps\": [],\n",
-      "  \"agent_scratchpad\": []\n",
-      "}\n",
-      "\u001b[36m[chain/end]\u001b[39m [\u001b[90m1:chain:AgentExecutor > 2:chain:ToolCallingAgent > \u001b[1m6:prompt:ChatPromptTemplate\u001b[22m\u001b[39m] [0ms] Exiting Chain run with output: {\n",
-      "  \"lc\": 1,\n",
-      "  \"type\": \"constructor\",\n",
-      "  \"id\": [\n",
-      "    \"langchain_core\",\n",
-      "    \"prompt_values\",\n",
-      "    \"ChatPromptValue\"\n",
-      "  ],\n",
-      "  \"kwargs\": {\n",
-      "    \"messages\": [\n",
-      "      {\n",
-      "        \"lc\": 1,\n",
-      "        \"type\": \"constructor\",\n",
-      "        \"id\": [\n",
-      "          \"langchain_core\",\n",
-      "          \"messages\",\n",
-      "          \"SystemMessage\"\n",
-      "        ],\n",
-      "        \"kwargs\": {\n",
-      "          \"content\": \"You are a helpful assistant. Respond only in Spanish.\",\n",
-      "          \"additional_kwargs\": {},\n",
-      "          \"response_metadata\": {}\n",
-      "        }\n",
-      "      },\n",
-      "      {\n",
-      "        \"lc\": 1,\n",
-      "        \"type\": \"constructor\",\n",
-      "        \"id\": [\n",
-      "          \"langchain_core\",\n",
-      "          \"messages\",\n",
-      "          \"HumanMessage\"\n",
-      "        ],\n",
-      "        \"kwargs\": {\n",
-      "          \"content\": \"what is the value of magic_function(3)?\",\n",
-      "          \"additional_kwargs\": {},\n",
-      "          \"response_metadata\": {}\n",
-      "        }\n",
-      "      }\n",
-      "    ]\n",
-      "  }\n",
-      "}\n",
-      "\u001b[32m[llm/start]\u001b[39m [\u001b[90m1:chain:AgentExecutor > 2:chain:ToolCallingAgent > \u001b[1m7:llm:ChatAnthropic\u001b[22m\u001b[39m] Entering LLM run with input: {\n",
-      "  \"messages\": [\n",
-      "    [\n",
-      "      {\n",
-      "        \"lc\": 1,\n",
-      "        \"type\": \"constructor\",\n",
-      "        \"id\": [\n",
-      "          \"langchain_core\",\n",
-      "          \"messages\",\n",
-      "          \"SystemMessage\"\n",
-      "        ],\n",
-      "        \"kwargs\": {\n",
-      "          \"content\": \"You are a helpful assistant. Respond only in Spanish.\",\n",
-      "          \"additional_kwargs\": {},\n",
-      "          \"response_metadata\": {}\n",
-      "        }\n",
-      "      },\n",
-      "      {\n",
-      "        \"lc\": 1,\n",
-      "        \"type\": \"constructor\",\n",
-      "        \"id\": [\n",
-      "          \"langchain_core\",\n",
-      "          \"messages\",\n",
-      "          \"HumanMessage\"\n",
-      "        ],\n",
-      "        \"kwargs\": {\n",
-      "          \"content\": \"what is the value of magic_function(3)?\",\n",
-      "          \"additional_kwargs\": {},\n",
-      "          \"response_metadata\": {}\n",
-      "        }\n",
-      "      }\n",
-      "    ]\n",
-      "  ]\n",
-      "}\n",
-      "\u001b[36m[llm/end]\u001b[39m [\u001b[90m1:chain:AgentExecutor > 2:chain:ToolCallingAgent > \u001b[1m7:llm:ChatAnthropic\u001b[22m\u001b[39m] [1.56s] Exiting LLM run with output: {\n",
-      "  \"generations\": [\n",
-      "    [\n",
-      "      {\n",
-      "        \"text\": \"Lo siento, pero la función \\\"magic_function\\\" espera un parámetro de tipo \\\"string\\\", no un número entero. Por favor, proporciona una entrada de tipo cadena de texto para que pueda aplicar la función mágica.\",\n",
-      "        \"message\": {\n",
-      "          \"lc\": 1,\n",
-      "          \"type\": \"constructor\",\n",
-      "          \"id\": [\n",
-      "            \"langchain_core\",\n",
-      "            \"messages\",\n",
-      "            \"AIMessageChunk\"\n",
-      "          ],\n",
-      "          \"kwargs\": {\n",
-      "            \"content\": \"Lo siento, pero la función \\\"magic_function\\\" espera un parámetro de tipo \\\"string\\\", no un número entero. Por favor, proporciona una entrada de tipo cadena de texto para que pueda aplicar la función mágica.\",\n",
-      "            \"additional_kwargs\": {\n",
-      "              \"id\": \"msg_011b4GnLtiCRnCzZiqUBAZeH\",\n",
-      "              \"type\": \"message\",\n",
-      "              \"role\": \"assistant\",\n",
-      "              \"model\": \"claude-3-haiku-20240307\",\n",
-      "              \"stop_reason\": \"end_turn\",\n",
-      "              \"stop_sequence\": null,\n",
-      "              \"usage\": {\n",
-      "                \"input_tokens\": 378,\n",
-      "                \"output_tokens\": 59\n",
-      "              }\n",
-      "            },\n",
-      "            \"tool_call_chunks\": [],\n",
-      "            \"tool_calls\": [],\n",
-      "            \"invalid_tool_calls\": [],\n",
-      "            \"response_metadata\": {}\n",
-      "          }\n",
-      "        }\n",
-      "      }\n",
-      "    ]\n",
-      "  ]\n",
-      "}\n",
-      "\u001b[32m[chain/start]\u001b[39m [\u001b[90m1:chain:AgentExecutor > 2:chain:ToolCallingAgent > \u001b[1m8:parser:ToolCallingAgentOutputParser\u001b[22m\u001b[39m] Entering Chain run with input: {\n",
-      "  \"lc\": 1,\n",
-      "  \"type\": \"constructor\",\n",
-      "  \"id\": [\n",
-      "    \"langchain_core\",\n",
-      "    \"messages\",\n",
-      "    \"AIMessageChunk\"\n",
-      "  ],\n",
-      "  \"kwargs\": {\n",
-      "    \"content\": \"Lo siento, pero la función \\\"magic_function\\\" espera un parámetro de tipo \\\"string\\\", no un número entero. Por favor, proporciona una entrada de tipo cadena de texto para que pueda aplicar la función mágica.\",\n",
-      "    \"additional_kwargs\": {\n",
-      "      \"id\": \"msg_011b4GnLtiCRnCzZiqUBAZeH\",\n",
-      "      \"type\": \"message\",\n",
-      "      \"role\": \"assistant\",\n",
-      "      \"model\": \"claude-3-haiku-20240307\",\n",
-      "      \"stop_reason\": \"end_turn\",\n",
-      "      \"stop_sequence\": null,\n",
-      "      \"usage\": {\n",
-      "        \"input_tokens\": 378,\n",
-      "        \"output_tokens\": 59\n",
-      "      }\n",
-      "    },\n",
-      "    \"tool_call_chunks\": [],\n",
-      "    \"tool_calls\": [],\n",
-      "    \"invalid_tool_calls\": [],\n",
-      "    \"response_metadata\": {}\n",
-      "  }\n",
-      "}\n",
-      "\u001b[36m[chain/end]\u001b[39m [\u001b[90m1:chain:AgentExecutor > 2:chain:ToolCallingAgent > \u001b[1m8:parser:ToolCallingAgentOutputParser\u001b[22m\u001b[39m] [0ms] Exiting Chain run with output: {\n",
-      "  \"returnValues\": {\n",
-      "    \"output\": \"Lo siento, pero la función \\\"magic_function\\\" espera un parámetro de tipo \\\"string\\\", no un número entero. Por favor, proporciona una entrada de tipo cadena de texto para que pueda aplicar la función mágica.\"\n",
-      "  },\n",
-      "  \"log\": \"Lo siento, pero la función \\\"magic_function\\\" espera un parámetro de tipo \\\"string\\\", no un número entero. Por favor, proporciona una entrada de tipo cadena de texto para que pueda aplicar la función mágica.\"\n",
-      "}\n",
-      "\u001b[36m[chain/end]\u001b[39m [\u001b[90m1:chain:AgentExecutor > \u001b[1m2:chain:ToolCallingAgent\u001b[22m\u001b[39m] [1.56s] Exiting Chain run with output: {\n",
-      "  \"returnValues\": {\n",
-      "    \"output\": \"Lo siento, pero la función \\\"magic_function\\\" espera un parámetro de tipo \\\"string\\\", no un número entero. Por favor, proporciona una entrada de tipo cadena de texto para que pueda aplicar la función mágica.\"\n",
-      "  },\n",
-      "  \"log\": \"Lo siento, pero la función \\\"magic_function\\\" espera un parámetro de tipo \\\"string\\\", no un número entero. Por favor, proporciona una entrada de tipo cadena de texto para que pueda aplicar la función mágica.\"\n",
-      "}\n",
-      "\u001b[36m[chain/end]\u001b[39m [\u001b[90m\u001b[1m1:chain:AgentExecutor\u001b[22m\u001b[39m] [1.56s] Exiting Chain run with output: {\n",
-      "  \"input\": \"what is the value of magic_function(3)?\",\n",
-      "  \"output\": \"Lo siento, pero la función \\\"magic_function\\\" espera un parámetro de tipo \\\"string\\\", no un número entero. Por favor, proporciona una entrada de tipo cadena de texto para que pueda aplicar la función mágica.\"\n",
-      "}\n"
-     ]
-    },
-    {
-     "data": {
-      "text/plain": [
-       "{\n",
-       "  input: \u001b[32m\"what is the value of magic_function(3)?\"\u001b[39m,\n",
-       "  output: \u001b[32m'Lo siento, pero la función \"magic_function\" espera un parámetro de tipo \"string\", no un número enter'\u001b[39m... 103 more characters\n",
-       "}"
-      ]
-     },
-     "execution_count": 14,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
-    "const badMagicTool = tool(async ({ input }) => {\n",
-    "  return \"Sorry, there was an error. Please try again.\";\n",
+    "const badMagicTool = tool(async ({ input: _input }) => {\n",
+    "  return \"Sorry, there was a temporary error. Please try again with the same input.\";\n",
     "}, {\n",
     "  name: \"magic_function\",\n",
     "  description: \"Applies a magic function to an input.\",\n",
@@ -1593,12 +1258,20 @@
     "  maxIterations: 2,\n",
     "});\n",
     "\n",
-    "await spanishAgentExecutorWithMaxIterations.invoke({ input: query });\n"
+    "await spanishAgentExecutorWithMaxIterations.invoke({ input: query });"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "245e064c",
+   "metadata": {},
+   "source": [
+    "If the recursion limit is reached in LangGraph.js, the framework will raise a specific exception type that we can catch and manage similarly to AgentExecutor."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 16,
    "id": "2f5e7d58",
    "metadata": {},
    "outputs": [
@@ -1620,7 +1293,7 @@
     "try {\n",
     "  await appWithBadTools.invoke({\n",
     "    messages: [\n",
-    "      new HumanMessage(query)\n",
+    "      { role: \"user\", content: query }\n",
     "    ]\n",
     "  }, {\n",
     "    recursionLimit: RECURSION_LIMIT,\n",
@@ -1645,14 +1318,6 @@
     "\n",
     "Next, check out other [LangGraph how-to guides](https://langchain-ai.github.io/langgraphjs/how-tos/)."
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "3f5bf788",
-   "metadata": {},
-   "outputs": [],
-   "source": []
   }
  ],
  "metadata": {
diff --git a/docs/core_docs/docs/versions/overview.mdx b/docs/core_docs/docs/versions/overview.mdx
deleted file mode 100644
index bc1f2dc086d9..000000000000
--- a/docs/core_docs/docs/versions/overview.mdx
+++ /dev/null
@@ -1,44 +0,0 @@
----
-sidebar_position: 0
-sidebar_label: Overview
----
-
-# LangChain Over Time
-
-Due to the rapidly evolving field, LangChain has also evolved rapidly.
-This document serves to outline at a high level what has changed and why.
-
-## 0.1
-
-The 0.1 release marked a few key changes for LangChain.
-By this point, the LangChain ecosystem had become large both in the breadth of what it enabled as well as the community behind it.
-
-**Split of packages**
-
-LangChain was split up into several packages to increase modularity and decrease bloat.
-First, `@langchain/core` is created as a lightweight core library containing the base abstractions,
-some core implementations of those abstractions, and the generic runtime for creating chains.
-Next, all third party integrations are split into `@langchain/community` or their own individual partner packages.
-Higher level chains and agents remain in `langchain`.
-
-**`Runnables`**
-
-Having a specific class for each chain was proving not very scalable or flexible.
-Although these classes were left alone (without deprecation warnings) for this release,
-in the documentation much more space was given to generic runnables.
-
-## < 0.1
-
-There are several key characteristics of LangChain pre-0.1.
-
-**Singular Package**
-
-LangChain was largely a singular package.
-This meant that ALL integrations lived inside `langchain`.
-
-**Chains as classes**
-
-Most high level chains were largely their own classes.
-There was a base `Chain` class from which all chains inherited.
-This meant that in order to chain the logic inside a chain you basically had to modify the source code.
-There were a few chains that were meant to be more generic (`SequentialChain`, `RouterChain`)
diff --git a/docs/core_docs/docs/versions/packages.mdx b/docs/core_docs/docs/versions/packages.mdx
deleted file mode 100644
index 516ca7ad10f0..000000000000
--- a/docs/core_docs/docs/versions/packages.mdx
+++ /dev/null
@@ -1,54 +0,0 @@
----
-sidebar_position: 3
-sidebar_label: Packages
----
-
-# 📕 Package versioning
-
-As of now, LangChain has an ad hoc release process: releases are cut with high frequency by
-a maintainer and published to [NPM](https://npm.org/).
-The different packages are versioned slightly differently.
-
-## `@langchain/core`
-
-`@langchain/core` is currently on version `0.1.x`.
-
-As `@langchain/core` contains the base abstractions and runtime for the whole LangChain ecosystem, we will communicate any breaking changes with advance notice and version bumps.
-The exception for this is anything marked as `beta` (you can see this in the API reference and will see warnings when using such functionality).
-The reason for beta features is that given the rate of change of the field, being able to move quickly is still a priority.
-
-Minor version increases will occur for:
-
-- Breaking changes for any public interfaces marked as `beta`.
-
-Patch version increases will occur for:
-
-- Bug fixes
-- New features
-- Any changes to private interfaces
-- Any changes to `beta` features
-
-## `langchain`
-
-`langchain` is currently on version `0.2.x`
-
-Minor version increases will occur for:
-
-- Breaking changes for any public interfaces NOT marked as `beta`.
-
-Patch version increases will occur for:
-
-- Bug fixes
-- New features
-- Any changes to private interfaces
-- Any changes to `beta` features.
-
-## `@langchain/community`
-
-`@langchain/community` is currently on version `0.2.x`
-
-All changes will be accompanied by the same type of version increase as changes in `langchain`.
-
-## Partner Packages
-
-Partner packages are versioned independently.
diff --git a/docs/core_docs/docs/versions/v0_3/index.mdx b/docs/core_docs/docs/versions/v0_3/index.mdx
new file mode 100644
index 000000000000..16f092bfe236
--- /dev/null
+++ b/docs/core_docs/docs/versions/v0_3/index.mdx
@@ -0,0 +1,141 @@
+---
+sidebar_position: 0
+sidebar_label: v0.3
+---
+
+# LangChain v0.3
+
+_Last updated: 09.14.24_
+
+## What's changed
+
+- All LangChain packages now have `@langchain/core` as a peer dependency instead of a direct dependency to help avoid type errors around [core version conflicts](/docs/how_to/installation/#installing-integration-packages).
+  - You will now need to explicitly install `@langchain/core` rather than relying on an internally resolved version from other packages.
+- Callbacks are now backgrounded and non-blocking by default rather than blocking.
+  - This means that if you are using e.g. LangSmith for tracing in a serverless environment, you will need to [await the callbacks to ensure they finish before your function ends](/docs/how_to/callbacks_serverless).
+- Removed deprecated document loader and self-query entrypoints from `langchain` in favor of entrypoints in [`@langchain/community`](https://www.npmjs.com/package/@langchain/community) and integration packages.
+- Removed deprecated Google PaLM entrypoints from community in favor of entrypoints in [`@langchain/google-vertexai`](https://www.npmjs.com/package/@langchain/google-vertexai) and [`@langchain/google-genai`](https://www.npmjs.com/package/@langchain/google-genai).
+- Deprecated using objects with a `"type"` as a [`BaseMessageLike`](https://v03.api.js.langchain.com/types/_langchain_core.messages.BaseMessageLike.html) in favor of the more OpenAI-like [`MessageWithRole`](https://v03.api.js.langchain.com/types/_langchain_core.messages.MessageFieldWithRole.html)
+
+## What’s new
+
+The following features have been added during the development of 0.2.x:
+
+- Simplified tool definition and usage. Read more [here](https://blog.langchain.dev/improving-core-tool-interfaces-and-docs-in-langchain/).
+- Added a [generalized chat model constructor](https://js.langchain.com/docs/how_to/chat_models_universal_init/).
+- Added the ability to [dispatch custom events](https://js.langchain.com/docs/how_to/callbacks_custom_events/).
+- Released LangGraph.js 0.2.0 and made it the [recommended way to create agents](https://js.langchain.com/docs/how_to/migrate_agent) with LangChain.js.
+- Revamped integration docs and API reference. Read more [here](https://blog.langchain.dev/langchain-integration-docs-revamped/).
+
+## How to update your code
+
+If you're using `langchain` / `@langchain/community` / `@langchain/core` 0.0 or 0.1, we recommend that you first [upgrade to 0.2](https://js.langchain.com/v0.2/docs/versions/v0_2/).
+
+If you're using `@langchain/langgraph`, upgrade to `@langchain/langgraph>=0.2.3`. This will work with either 0.2 or 0.3 versions of all the base packages.
+
+Here is a complete list of all packages that have been released and what we recommend upgrading your version constraints to in your `package.json`.
+Any package that now supports `@langchain/core` 0.3 had a minor version bump.
+
+### Base packages
+
+| Package                  | Latest | Recommended `package.json` constraint |
+| ------------------------ | ------ | ------------------------------------- |
+| langchain                | 0.3.0  | >=0.3.0 <0.4.0                        |
+| @langchain/community     | 0.3.0  | >=0.3.0 <0.4.0                        |
+| @langchain/textsplitters | 0.1.0  | >=0.1.0 <0.2.0                        |
+| @langchain/core          | 0.3.0  | >=0.3.0 <0.4.0                        |
+
+### Downstream packages
+
+| Package              | Latest | Recommended `package.json` constraint |
+| -------------------- | ------ | ------------------------------------- |
+| @langchain/langgraph | 0.2.3  | >=0.2.3 <0.3                          |
+
+### Integration packages
+
+| Package                           | Latest | Recommended `package.json` constraint |
+| --------------------------------- | ------ | ------------------------------------- |
+| @langchain/anthropic              | 0.3.0  | >=0.3.0 <0.4.0                        |
+| @langchain/aws                    | 0.1.0  | >=0.1.0 <0.2.0                        |
+| @langchain/azure-cosmosdb         | 0.2.0  | >=0.2.0 <0.3.0                        |
+| @langchain/azure-dynamic-sessions | 0.2.0  | >=0.2.0 <0.3.0                        |
+| @langchain/baidu-qianfan          | 0.1.0  | >=0.1.0 <0.2.0                        |
+| @langchain/cloudflare             | 0.1.0  | >=0.1.0 <0.2.0                        |
+| @langchain/cohere                 | 0.3.0  | >=0.3.0 <0.4.0                        |
+| @langchain/exa                    | 0.1.0  | >=0.1.0 <0.2.0                        |
+| @langchain/google-genai           | 0.1.0  | >=0.1.0 <0.2.0                        |
+| @langchain/google-vertexai        | 0.1.0  | >=0.1.0 <0.2.0                        |
+| @langchain/google-vertexai-web    | 0.1.0  | >=0.1.0 <0.2.0                        |
+| @langchain/groq                   | 0.1.1  | >=0.1.1 <0.2.0                        |
+| @langchain/mistralai              | 0.1.0  | >=0.1.0 <0.2.0                        |
+| @langchain/mixedbread-ai          | 0.1.0  | >=0.1.0 <0.2.0                        |
+| @langchain/mongodb                | 0.1.0  | >=0.1.0 <0.2.0                        |
+| @langchain/nomic                  | 0.1.0  | >=0.1.0 <0.2.0                        |
+| @langchain/ollama                 | 0.1.0  | >=0.1.0 <0.2.0                        |
+| @langchain/openai                 | 0.3.0  | >=0.3.0 <0.4.0                        |
+| @langchain/pinecone               | 0.1.0  | >=0.1.0 <0.2.0                        |
+| @langchain/qdrant                 | 0.1.0  | >=0.1.0 <0.2.0                        |
+| @langchain/redis                  | 0.1.0  | >=0.1.0 <0.2.0                        |
+| @langchain/weaviate               | 0.1.0  | >=0.1.0 <0.2.0                        |
+| @langchain/yandex                 | 0.1.0  | >=0.1.0 <0.2.0                        |
+
+Once you've updated to recent versions of the packages, you will need to explicitly install `@langchain/core` if you haven't already:
+
+```bash npm2yarn
+npm install @langchain/core
+```
+
+We also suggest checking your lockfile or running the [appropriate package manager command](/docs/how_to/installation/#installing-integration-packages) to make sure that your package manager only has one version of `@langchain/core` installed.
+
+If you are currently running your code in a serverless environment (e.g., a Cloudflare Worker, Edge function, or AWS Lambda function)
+and you are using LangSmith tracing or other callbacks, you will need to [await callbacks to ensure they finish before your function ends](/docs/how_to/callbacks_serverless).
+Here's a quick example:
+
+```ts
+import { RunnableLambda } from "@langchain/core/runnables";
+import { awaitAllCallbacks } from "@langchain/core/callbacks/promises";
+
+const runnable = RunnableLambda.from(() => "hello!");
+
+const customHandler = {
+  handleChainEnd: async () => {
+    await new Promise((resolve) => setTimeout(resolve, 2000));
+    console.log("Call finished");
+  },
+};
+
+const startTime = new Date().getTime();
+
+await runnable.invoke({ number: "2" }, { callbacks: [customHandler] });
+
+console.log(`Elapsed time: ${new Date().getTime() - startTime}ms`);
+
+await awaitAllCallbacks();
+
+console.log(`Final elapsed time: ${new Date().getTime() - startTime}ms`);
+```
+
+```
+Elapsed time: 1ms
+Call finished
+Final elapsed time: 2164ms
+```
+
+You can also set `LANGCHAIN_CALLBACKS_BACKGROUND` to `"false"` to make all callbacks blocking:
+
+```ts
+process.env.LANGCHAIN_CALLBACKS_BACKGROUND = "false";
+
+const startTimeBlocking = new Date().getTime();
+
+await runnable.invoke({ number: "2" }, { callbacks: [customHandler] });
+
+console.log(
+  `Initial elapsed time: ${new Date().getTime() - startTimeBlocking}ms`
+);
+```
+
+```
+Call finished
+Initial elapsed time: 2002ms
+```
diff --git a/docs/core_docs/package.json b/docs/core_docs/package.json
index 59617c110f86..c89017791bb4 100644
--- a/docs/core_docs/package.json
+++ b/docs/core_docs/package.json
@@ -50,7 +50,7 @@
   },
   "devDependencies": {
     "@babel/eslint-parser": "^7.18.2",
-    "@langchain/langgraph": "0.0.28",
+    "@langchain/langgraph": "0.2.3",
     "@langchain/scripts": "workspace:*",
     "@microsoft/fetch-event-source": "^2.0.1",
     "@swc/core": "^1.3.62",
diff --git a/yarn.lock b/yarn.lock
index 79c732d4bd6e..2b73eb7f4b3f 100644
--- a/yarn.lock
+++ b/yarn.lock
@@ -12300,7 +12300,32 @@ __metadata:
   languageName: unknown
   linkType: soft
 
-"@langchain/langgraph@npm:0.0.28, @langchain/langgraph@npm:^0.0.28":
+"@langchain/langgraph-checkpoint@npm:~0.0.6":
+  version: 0.0.6
+  resolution: "@langchain/langgraph-checkpoint@npm:0.0.6"
+  dependencies:
+    uuid: ^10.0.0
+  peerDependencies:
+    "@langchain/core": ">=0.2.31 <0.4.0"
+  checksum: 7303a0f92f6474757bc9484314f36566a0785d8167ead65483fdada2921447e153a24754629ee601a168d2a39b6cc6d0c57ec34d607e10225619b9d5d30c8a5a
+  languageName: node
+  linkType: hard
+
+"@langchain/langgraph@npm:0.2.3":
+  version: 0.2.3
+  resolution: "@langchain/langgraph@npm:0.2.3"
+  dependencies:
+    "@langchain/langgraph-checkpoint": ~0.0.6
+    double-ended-queue: ^2.1.0-0
+    uuid: ^10.0.0
+    zod: ^3.23.8
+  peerDependencies:
+    "@langchain/core": ">=0.2.31 <0.4.0"
+  checksum: 09d423228633f4bfee24b15e9f81eee57e96fecf9914f1e1c1f40f9436d120de912b8c987da356591c6eae0ee2bcf3759ab8e0ff762f87bc4f3f73e4098c12e9
+  languageName: node
+  linkType: hard
+
+"@langchain/langgraph@npm:^0.0.28":
   version: 0.0.28
   resolution: "@langchain/langgraph@npm:0.0.28"
   dependencies:
@@ -23575,7 +23600,7 @@ __metadata:
     "@docusaurus/preset-classic": 2.4.3
     "@docusaurus/remark-plugin-npm2yarn": 2.4.3
     "@docusaurus/theme-mermaid": 2.4.3
-    "@langchain/langgraph": 0.0.28
+    "@langchain/langgraph": 0.2.3
     "@langchain/scripts": "workspace:*"
     "@mdx-js/react": ^1.6.22
     "@microsoft/fetch-event-source": ^2.0.1
@@ -25350,6 +25375,13 @@ __metadata:
   languageName: node
   linkType: hard
 
+"double-ended-queue@npm:^2.1.0-0":
+  version: 2.1.0-0
+  resolution: "double-ended-queue@npm:2.1.0-0"
+  checksum: 3030cf9dcf6f8e7d8cb6ae5b7304890445d7c32233a614e400ba7b378086ad76f5822d0e501afd5ffe0af1de4bcb842fa23d4c79174d54f6566399435fafc271
+  languageName: node
+  linkType: hard
+
 "dpdm@npm:3.12.0":
   version: 3.12.0
   resolution: "dpdm@npm:3.12.0"

From 08efa9a6f4ebc02140d463a5a78a5a427b318e78 Mon Sep 17 00:00:00 2001
From: Erick Friis <erick@langchain.dev>
Date: Sun, 15 Sep 2024 22:38:54 -0700
Subject: [PATCH 206/344] docs: NotFound page suggested links (#6809)

Co-authored-by: jacoblee93 <jacoblee93@gmail.com>
---
 docs/core_docs/src/theme/NotFound.js | 1041 ++++++++++++++++++++++++++
 1 file changed, 1041 insertions(+)
 create mode 100644 docs/core_docs/src/theme/NotFound.js

diff --git a/docs/core_docs/src/theme/NotFound.js b/docs/core_docs/src/theme/NotFound.js
new file mode 100644
index 000000000000..3c9460a99f15
--- /dev/null
+++ b/docs/core_docs/src/theme/NotFound.js
@@ -0,0 +1,1041 @@
+/* eslint-disable import/no-extraneous-dependencies */
+/* eslint-disable no-nested-ternary */
+import React from "react";
+import { translate } from "@docusaurus/Translate";
+import { PageMetadata } from "@docusaurus/theme-common";
+import Layout from "@theme/Layout";
+
+import { useLocation } from "react-router-dom";
+
+function LegacyBadge() {
+  return <span className="badge badge--secondary">LEGACY</span>;
+}
+
+const suggestedLinks = {
+  "/docs/additional_resources/tutorials/expression_language_cheatsheet/": {
+    canonical: "/docs/how_to/lcel_cheatsheet/",
+    alternative: [
+      "/v0.1/docs/additional_resources/tutorials/expression_language_cheatsheet/",
+    ],
+  },
+  "/docs/ecosystem/": {
+    canonical: "/docs/integrations/platforms/",
+    alternative: ["/v0.1/docs/ecosystem/"],
+  },
+  "/docs/ecosystem/integrations/": {
+    canonical: "/docs/integrations/platforms/",
+    alternative: ["/v0.1/docs/ecosystem/integrations/"],
+  },
+  "/docs/ecosystem/integrations/databerry/": {
+    canonical: "/docs/integrations/platforms/",
+    alternative: ["/v0.1/docs/ecosystem/integrations/databerry/"],
+  },
+  "/docs/ecosystem/integrations/helicone/": {
+    canonical: "/docs/integrations/platforms/",
+    alternative: ["/v0.1/docs/ecosystem/integrations/helicone/"],
+  },
+  "/docs/ecosystem/integrations/lunary/": {
+    canonical: "/docs/integrations/platforms/",
+    alternative: ["/v0.1/docs/ecosystem/integrations/lunary/"],
+  },
+  "/docs/ecosystem/integrations/makersuite/": {
+    canonical: "/docs/integrations/platforms/",
+    alternative: ["/v0.1/docs/ecosystem/integrations/makersuite/"],
+  },
+  "/docs/ecosystem/integrations/unstructured/": {
+    canonical: "/docs/integrations/document_loaders/file_loaders/unstructured/",
+    alternative: ["/v0.1/docs/ecosystem/integrations/unstructured/"],
+  },
+  "/docs/ecosystem/langserve/": {
+    canonical:
+      "https://api.js.langchain.com/classes/_langchain_core.runnables_remote.RemoteRunnable.html",
+    alternative: ["/v0.1/docs/ecosystem/langserve/"],
+  },
+  "/docs/expression_language/": {
+    canonical: "/docs/how_to/#langchain-expression-language-lcel",
+    alternative: ["/v0.1/docs/expression_language/"],
+  },
+  "/docs/expression_language/cookbook/": {
+    canonical: "/docs/how_to/#langchain-expression-language-lcel",
+    alternative: ["/v0.1/docs/expression_language/cookbook/"],
+  },
+  "/docs/expression_language/cookbook/adding_memory/": {
+    canonical: "/docs/how_to/message_history",
+    alternative: ["/v0.1/docs/expression_language/cookbook/adding_memory/"],
+  },
+  "/docs/expression_language/cookbook/agents/": {
+    canonical: "/docs/how_to/agent_executor",
+    alternative: ["/v0.1/docs/expression_language/cookbook/agents/"],
+  },
+  "/docs/expression_language/cookbook/multiple_chains/": {
+    canonical: "/docs/how_to/parallel",
+    alternative: ["/v0.1/docs/expression_language/cookbook/multiple_chains/"],
+  },
+  "/docs/expression_language/cookbook/prompt_llm_parser/": {
+    canonical: "/docs/tutorials/llm_chain",
+    alternative: ["/v0.1/docs/expression_language/cookbook/prompt_llm_parser/"],
+  },
+  "/docs/expression_language/cookbook/retrieval/": {
+    canonical: "/docs/tutorials/rag",
+    alternative: ["/v0.1/docs/expression_language/cookbook/retrieval/"],
+  },
+  "/docs/expression_language/cookbook/sql_db/": {
+    canonical: "/docs/tutorials/sql_qa",
+    alternative: ["/v0.1/docs/expression_language/cookbook/sql_db/"],
+  },
+  "/docs/expression_language/cookbook/tools/": {
+    canonical: "/docs/how_to/tool_calling/",
+    alternative: ["/v0.1/docs/expression_language/cookbook/tools/"],
+  },
+  "/docs/expression_language/get_started/": {
+    canonical: "/docs/how_to/sequence",
+    alternative: ["/v0.1/docs/expression_language/get_started/"],
+  },
+  "/docs/expression_language/how_to/map/": {
+    canonical: "/docs/how_to/cancel_execution/",
+    alternative: ["/v0.1/docs/expression_language/how_to/map/"],
+  },
+  "/docs/expression_language/how_to/message_history/": {
+    canonical: "/docs/how_to/message_history",
+    alternative: ["/v0.1/docs/expression_language/how_to/message_history/"],
+  },
+  "/docs/expression_language/how_to/routing/": {
+    canonical: "/docs/how_to/routing",
+    alternative: ["/v0.1/docs/expression_language/how_to/routing/"],
+  },
+  "/docs/expression_language/how_to/with_history/": {
+    canonical: "/docs/how_to/message_history",
+    alternative: ["/v0.1/docs/expression_language/how_to/with_history/"],
+  },
+  "/docs/expression_language/interface/": {
+    canonical: "/docs/how_to/lcel_cheatsheet",
+    alternative: ["/v0.1/docs/expression_language/interface/"],
+  },
+  "/docs/expression_language/streaming/": {
+    canonical: "/docs/how_to/streaming",
+    alternative: ["/v0.1/docs/expression_language/streaming/"],
+  },
+  "/docs/expression_language/why/": {
+    canonical: "/docs/concepts/#langchain-expression-language-lcel",
+    alternative: ["/v0.1/docs/expression_language/why/"],
+  },
+  "/docs/get_started/": {
+    canonical: "/docs/introduction/",
+    alternative: ["/v0.1/docs/get_started/"],
+  },
+  "/docs/get_started/installation/": {
+    canonical: "/docs/tutorials/",
+    alternative: ["/v0.1/docs/get_started/installation/"],
+  },
+  "/docs/get_started/introduction/": {
+    canonical: "/docs/tutorials/",
+    alternative: ["/v0.1/docs/get_started/introduction/"],
+  },
+  "/docs/get_started/quickstart/": {
+    canonical: "/docs/tutorials/",
+    alternative: ["/v0.1/docs/get_started/quickstart/"],
+  },
+  "/docs/guides/": {
+    canonical: "/docs/how_to/",
+    alternative: ["/v0.1/docs/guides/"],
+  },
+  "/docs/guides/debugging/": {
+    canonical: "/docs/how_to/debugging",
+    alternative: ["/v0.1/docs/guides/debugging/"],
+  },
+  "/docs/guides/deployment/": {
+    canonical: "https://langchain-ai.github.io/langgraph/cloud/",
+    alternative: ["/v0.1/docs/guides/deployment/"],
+  },
+  "/docs/guides/deployment/nextjs/": {
+    canonical: "https://github.com/langchain-ai/langchain-nextjs-template",
+    alternative: ["/v0.1/docs/guides/deployment/nextjs/"],
+  },
+  "/docs/guides/deployment/sveltekit/": {
+    canonical: "https://github.com/langchain-ai/langchain-nextjs-template",
+    alternative: ["/v0.1/docs/guides/deployment/sveltekit/"],
+  },
+  "/docs/guides/evaluation/": {
+    canonical:
+      "https://docs.smith.langchain.com/tutorials/Developers/evaluation",
+    alternative: ["/v0.1/docs/guides/evaluation/"],
+  },
+  "/docs/guides/evaluation/comparison/": {
+    canonical:
+      "https://docs.smith.langchain.com/tutorials/Developers/evaluation",
+    alternative: ["/v0.1/docs/guides/evaluation/comparison/"],
+  },
+  "/docs/guides/evaluation/comparison/pairwise_embedding_distance/": {
+    canonical:
+      "https://docs.smith.langchain.com/tutorials/Developers/evaluation",
+    alternative: [
+      "/v0.1/docs/guides/evaluation/comparison/pairwise_embedding_distance/",
+    ],
+  },
+  "/docs/guides/evaluation/comparison/pairwise_string/": {
+    canonical:
+      "https://docs.smith.langchain.com/tutorials/Developers/evaluation",
+    alternative: ["/v0.1/docs/guides/evaluation/comparison/pairwise_string/"],
+  },
+  "/docs/guides/evaluation/examples/": {
+    canonical:
+      "https://docs.smith.langchain.com/tutorials/Developers/evaluation",
+    alternative: ["/v0.1/docs/guides/evaluation/examples/"],
+  },
+  "/docs/guides/evaluation/examples/comparisons/": {
+    canonical:
+      "https://docs.smith.langchain.com/tutorials/Developers/evaluation",
+    alternative: ["/v0.1/docs/guides/evaluation/examples/comparisons/"],
+  },
+  "/docs/guides/evaluation/string/": {
+    canonical:
+      "https://docs.smith.langchain.com/tutorials/Developers/evaluation",
+    alternative: ["/v0.1/docs/guides/evaluation/string/"],
+  },
+  "/docs/guides/evaluation/string/criteria/": {
+    canonical:
+      "https://docs.smith.langchain.com/tutorials/Developers/evaluation",
+    alternative: ["/v0.1/docs/guides/evaluation/string/criteria/"],
+  },
+  "/docs/guides/evaluation/string/embedding_distance/": {
+    canonical:
+      "https://docs.smith.langchain.com/tutorials/Developers/evaluation",
+    alternative: ["/v0.1/docs/guides/evaluation/string/embedding_distance/"],
+  },
+  "/docs/guides/evaluation/trajectory/": {
+    canonical:
+      "https://docs.smith.langchain.com/tutorials/Developers/evaluation",
+    alternative: ["/v0.1/docs/guides/evaluation/trajectory/"],
+  },
+  "/docs/guides/evaluation/trajectory/trajectory_eval/": {
+    canonical:
+      "https://docs.smith.langchain.com/tutorials/Developers/evaluation",
+    alternative: ["/v0.1/docs/guides/evaluation/trajectory/trajectory_eval/"],
+  },
+  "/docs/guides/extending_langchain/": {
+    canonical: "/docs/how_to/#custom",
+    alternative: ["/v0.1/docs/guides/extending_langchain/"],
+  },
+  "/docs/guides/fallbacks/": {
+    canonical: "/docs/how_to/fallbacks",
+    alternative: ["/v0.1/docs/guides/fallbacks/"],
+  },
+  "/docs/guides/langsmith_evaluation/": {
+    canonical:
+      "https://docs.smith.langchain.com/tutorials/Developers/evaluation",
+    alternative: ["/v0.1/docs/guides/langsmith_evaluation/"],
+  },
+  "/docs/guides/migrating/": {
+    canonical: "https://js.langchain.com/v0.1/docs/guides/migrating/",
+    alternative: ["/v0.1/docs/guides/migrating/"],
+  },
+  "/docs/integrations/chat_memory/": {
+    canonical: "/docs/integrations/memory",
+    alternative: ["/v0.1/docs/integrations/chat_memory/"],
+  },
+  "/docs/integrations/chat_memory/astradb/": {
+    canonical: "/docs/integrations/memory/astradb",
+    alternative: ["/v0.1/docs/integrations/chat_memory/astradb/"],
+  },
+  "/docs/integrations/chat_memory/cassandra/": {
+    canonical: "/docs/integrations/memory/cassandra",
+    alternative: ["/v0.1/docs/integrations/chat_memory/cassandra/"],
+  },
+  "/docs/integrations/chat_memory/cloudflare_d1/": {
+    canonical: "/docs/integrations/memory/cloudflare_d1",
+    alternative: ["/v0.1/docs/integrations/chat_memory/cloudflare_d1/"],
+  },
+  "/docs/integrations/chat_memory/convex/": {
+    canonical: "/docs/integrations/memory/convex",
+    alternative: ["/v0.1/docs/integrations/chat_memory/convex/"],
+  },
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+    alternative: ["/v0.1/docs/modules/data_connection/vectorstores/custom/"],
+  },
+  "/docs/modules/experimental/": {
+    canonical: "https://js.langchain.com/v0.1/docs/modules/experimental/",
+    alternative: ["/v0.1/docs/modules/experimental/"],
+  },
+  "/docs/modules/experimental/mask/": {
+    canonical:
+      "https://api.js.langchain.com/modules/langchain.experimental_masking.html",
+    alternative: ["/v0.1/docs/modules/experimental/mask/"],
+  },
+  "/docs/modules/experimental/prompts/custom_formats/": {
+    canonical:
+      "https://api.js.langchain.com/classes/langchain.experimental_prompts_handlebars.HandlebarsPromptTemplate.html",
+    alternative: ["/v0.1/docs/modules/experimental/prompts/custom_formats/"],
+  },
+  "/docs/modules/memory/chat_messages/custom/": {
+    canonical:
+      "https://js.langchain.com/v0.1/docs/modules/memory/chat_messages/custom/",
+    alternative: ["/v0.1/docs/modules/memory/chat_messages/custom/"],
+  },
+  "/docs/modules/memory/types/buffer_memory_chat/": {
+    canonical:
+      "https://api.js.langchain.com/classes/langchain.memory.BufferMemory.html",
+    alternative: ["/v0.1/docs/modules/memory/types/buffer_memory_chat/"],
+  },
+  "/docs/modules/memory/types/buffer_window/": {
+    canonical:
+      "https://api.js.langchain.com/classes/langchain.memory.BufferWindowMemory.html",
+    alternative: ["/v0.1/docs/modules/memory/types/buffer_window/"],
+  },
+  "/docs/modules/memory/types/entity_summary_memory/": {
+    canonical:
+      "https://api.js.langchain.com/classes/langchain.memory.EntityMemory.html",
+    alternative: ["/v0.1/docs/modules/memory/types/entity_summary_memory/"],
+  },
+  "/docs/modules/memory/types/multiple_memory/": {
+    canonical:
+      "https://api.js.langchain.com/classes/langchain.memory.CombinedMemory.html",
+    alternative: ["/v0.1/docs/modules/memory/types/multiple_memory/"],
+  },
+  "/docs/modules/memory/types/summary_buffer/": {
+    canonical:
+      "https://api.js.langchain.com/classes/langchain.memory.ConversationSummaryBufferMemory.html",
+    alternative: ["/v0.1/docs/modules/memory/types/summary_buffer/"],
+  },
+  "/docs/modules/memory/types/summary/": {
+    canonical:
+      "https://api.js.langchain.com/classes/langchain.memory.ConversationSummaryMemory.html",
+    alternative: ["/v0.1/docs/modules/memory/types/summary/"],
+  },
+  "/docs/modules/memory/types/vectorstore_retriever_memory/": {
+    canonical:
+      "https://api.js.langchain.com/classes/langchain.memory.VectorStoreRetrieverMemory.html",
+    alternative: [
+      "/v0.1/docs/modules/memory/types/vectorstore_retriever_memory/",
+    ],
+  },
+  "/docs/modules/model_io/chat/caching/": {
+    canonical: "/docs/how_to/chat_model_caching",
+    alternative: ["/v0.1/docs/modules/model_io/chat/caching/"],
+  },
+  "/docs/modules/model_io/chat/cancelling_requests/": {
+    canonical: "/docs/how_to/cancel_execution",
+    alternative: ["/v0.1/docs/modules/model_io/chat/cancelling_requests/"],
+  },
+  "/docs/modules/model_io/chat/custom_chat/": {
+    canonical: "/docs/how_to/custom_chat",
+    alternative: ["/v0.1/docs/modules/model_io/chat/custom_chat/"],
+  },
+  "/docs/modules/model_io/chat/dealing_with_api_errors/": {
+    canonical: "/docs/how_to/fallbacks",
+    alternative: ["/v0.1/docs/modules/model_io/chat/dealing_with_api_errors/"],
+  },
+  "/docs/modules/model_io/chat/dealing_with_rate_limits/": {
+    canonical: "/docs/how_to/fallbacks",
+    alternative: ["/v0.1/docs/modules/model_io/chat/dealing_with_rate_limits/"],
+  },
+  "/docs/modules/model_io/chat/subscribing_events/": {
+    canonical: "/docs/how_to/custom_callbacks",
+    alternative: ["/v0.1/docs/modules/model_io/chat/subscribing_events/"],
+  },
+  "/docs/modules/model_io/chat/timeouts/": {
+    canonical: "/docs/how_to/custom_callbacks",
+    alternative: ["/v0.1/docs/modules/model_io/chat/timeouts/"],
+  },
+  "/docs/modules/model_io/llms/cancelling_requests/": {
+    canonical: "/docs/how_to/cancel_execution",
+    alternative: ["/v0.1/docs/modules/model_io/llms/cancelling_requests/"],
+  },
+  "/docs/modules/model_io/llms/dealing_with_api_errors/": {
+    canonical: "/docs/how_to/fallbacks",
+    alternative: ["/v0.1/docs/modules/model_io/llms/dealing_with_api_errors/"],
+  },
+  "/docs/modules/model_io/llms/dealing_with_rate_limits/": {
+    canonical: "/docs/how_to/fallbacks",
+    alternative: ["/v0.1/docs/modules/model_io/llms/dealing_with_rate_limits/"],
+  },
+  "/docs/modules/model_io/llms/subscribing_events/": {
+    canonical: "/docs/how_to/custom_callbacks",
+    alternative: ["/v0.1/docs/modules/model_io/llms/subscribing_events/"],
+  },
+  "/docs/modules/model_io/llms/timeouts/": {
+    canonical: "/docs/how_to/cancel_execution",
+    alternative: ["/v0.1/docs/modules/model_io/llms/timeouts/"],
+  },
+  "/docs/modules/model_io/output_parsers/types/bytes/": {
+    canonical:
+      "https://api.js.langchain.com/modules/_langchain_core.output_parsers.html",
+    alternative: ["/v0.1/docs/modules/model_io/output_parsers/types/bytes/"],
+  },
+  "/docs/modules/model_io/output_parsers/types/combining_output_parser/": {
+    canonical:
+      "https://api.js.langchain.com/classes/langchain.output_parsers.CombiningOutputParser.html",
+    alternative: [
+      "/v0.1/docs/modules/model_io/output_parsers/types/combining_output_parser/",
+    ],
+  },
+  "/docs/modules/model_io/output_parsers/types/csv/": {
+    canonical:
+      "https://api.js.langchain.com/classes/_langchain_core.output_parsers.CommaSeparatedListOutputParser.html",
+    alternative: ["/v0.1/docs/modules/model_io/output_parsers/types/csv/"],
+  },
+  "/docs/modules/model_io/output_parsers/types/custom_list_parser/": {
+    canonical:
+      "https://api.js.langchain.com/classes/_langchain_core.output_parsers.CustomListOutputParser.html",
+    alternative: [
+      "/v0.1/docs/modules/model_io/output_parsers/types/custom_list_parser/",
+    ],
+  },
+  "/docs/modules/model_io/output_parsers/types/http_response/": {
+    canonical:
+      "https://api.js.langchain.com/classes/langchain.output_parsers.HttpResponseOutputParser.html",
+    alternative: [
+      "/v0.1/docs/modules/model_io/output_parsers/types/http_response/",
+    ],
+  },
+  "/docs/modules/model_io/output_parsers/types/json_functions/": {
+    canonical:
+      "https://api.js.langchain.com/classes/langchain.output_parsers.JsonOutputFunctionsParser.html",
+    alternative: [
+      "/v0.1/docs/modules/model_io/output_parsers/types/json_functions/",
+    ],
+  },
+  "/docs/modules/model_io/output_parsers/types/string/": {
+    canonical:
+      "https://api.js.langchain.com/classes/_langchain_core.output_parsers.StringOutputParser.html",
+    alternative: ["/v0.1/docs/modules/model_io/output_parsers/types/string/"],
+  },
+  "/docs/modules/model_io/prompts/example_selector_types/": {
+    canonical: "/docs/how_to/#example-selectors",
+    alternative: [
+      "/v0.1/docs/modules/model_io/prompts/example_selector_types/",
+    ],
+  },
+  "/docs/modules/model_io/prompts/example_selector_types/length_based/": {
+    canonical: "/docs/how_to/example_selectors_length_based",
+    alternative: [
+      "/v0.1/docs/modules/model_io/prompts/example_selector_types/length_based/",
+    ],
+  },
+  "/docs/modules/model_io/prompts/example_selector_types/similarity/": {
+    canonical: "/docs/how_to/example_selectors_similarity",
+    alternative: [
+      "/v0.1/docs/modules/model_io/prompts/example_selector_types/similarity/",
+    ],
+  },
+  "/docs/modules/model_io/prompts/few_shot/": {
+    canonical: "/docs/how_to/few_shot_examples",
+    alternative: ["/v0.1/docs/modules/model_io/prompts/few_shot/"],
+  },
+  "/docs/modules/model_io/prompts/pipeline/": {
+    canonical: "/docs/how_to/prompts_composition",
+    alternative: ["/v0.1/docs/modules/model_io/prompts/pipeline/"],
+  },
+  "/docs/production/deployment/": {
+    canonical: "https://langchain-ai.github.io/langgraph/cloud/",
+    alternative: ["/v0.1/docs/production/deployment/"],
+  },
+  "/docs/production/tracing/": {
+    canonical:
+      "https://docs.smith.langchain.com/how_to_guides/tracing/trace_with_langchain",
+    alternative: ["/v0.1/docs/production/tracing/"],
+  },
+  "/docs/use_cases/agent_simulations/": {
+    canonical:
+      "https://js.langchain.com/v0.1/docs/use_cases/agent_simulations/",
+    alternative: ["/v0.1/docs/use_cases/agent_simulations/"],
+  },
+  "/docs/use_cases/agent_simulations/generative_agents/": {
+    canonical:
+      "https://js.langchain.com/v0.1/docs/use_cases/agent_simulations/generative_agents/",
+    alternative: ["/v0.1/docs/use_cases/agent_simulations/generative_agents/"],
+  },
+  "/docs/use_cases/agent_simulations/violation_of_expectations_chain/": {
+    canonical:
+      "https://js.langchain.com/v0.1/docs/use_cases/agent_simulations/violation_of_expectations_chain/",
+    alternative: [
+      "/v0.1/docs/use_cases/agent_simulations/violation_of_expectations_chain/",
+    ],
+  },
+  "/docs/use_cases/api/": {
+    canonical: "https://js.langchain.com/v0.1/docs/use_cases/api/",
+    alternative: ["/v0.1/docs/use_cases/api/"],
+  },
+  "/docs/use_cases/autonomous_agents/": {
+    canonical:
+      "https://js.langchain.com/v0.1/docs/use_cases/autonomous_agents/",
+    alternative: ["/v0.1/docs/use_cases/autonomous_agents/"],
+  },
+  "/docs/use_cases/autonomous_agents/auto_gpt/": {
+    canonical:
+      "https://js.langchain.com/v0.1/docs/use_cases/autonomous_agents/auto_gpt/",
+    alternative: ["/v0.1/docs/use_cases/autonomous_agents/auto_gpt/"],
+  },
+  "/docs/use_cases/autonomous_agents/baby_agi/": {
+    canonical:
+      "https://js.langchain.com/v0.1/docs/use_cases/autonomous_agents/baby_agi/",
+    alternative: ["/v0.1/docs/use_cases/autonomous_agents/baby_agi/"],
+  },
+  "/docs/use_cases/autonomous_agents/sales_gpt/": {
+    canonical:
+      "https://js.langchain.com/v0.1/docs/use_cases/autonomous_agents/sales_gpt/",
+    alternative: ["/v0.1/docs/use_cases/autonomous_agents/sales_gpt/"],
+  },
+  "/docs/use_cases/graph/construction/": {
+    canonical: "/docs/tutorials/graph",
+    alternative: ["/v0.1/docs/use_cases/graph/construction/"],
+  },
+  "/docs/use_cases/media/": {
+    canonical: "/docs/how_to/multimodal_prompts",
+    alternative: ["/v0.1/docs/use_cases/media/"],
+  },
+  "/docs/use_cases/query_analysis/how_to/constructing_filters/": {
+    canonical: "/docs/tutorials/query_analysis",
+    alternative: [
+      "/v0.1/docs/use_cases/query_analysis/how_to/constructing_filters/",
+    ],
+  },
+  "/docs/use_cases/tabular/": {
+    canonical: "/docs/tutorials/sql_qa",
+    alternative: ["/v0.1/docs/use_cases/tabular/"],
+  },
+};
+
+export default function NotFound() {
+  const location = useLocation();
+  const pathname = location.pathname.endsWith("/")
+    ? location.pathname
+    : `${location.pathname}/`; // Ensure the path matches the keys in suggestedLinks
+  const { canonical, alternative } = suggestedLinks[pathname] || {};
+
+  return (
+    <>
+      <PageMetadata
+        title={translate({
+          id: "theme.NotFound.title",
+          message: "Page Not Found",
+        })}
+      />
+      <Layout>
+        <main className="container margin-vert--xl">
+          <div className="row">
+            <div className="col col--6 col--offset-3">
+              <h1 className="hero__title">
+                {canonical
+                  ? "Page Moved"
+                  : alternative
+                  ? "Page Removed"
+                  : "Page Not Found"}
+              </h1>
+              {canonical ? (
+                <h3>
+                  You can find the new location <a href={canonical}>here</a>.
+                </h3>
+              ) : alternative ? (
+                <p>The page you were looking for has been removed.</p>
+              ) : (
+                <p>We could not find what you were looking for.</p>
+              )}
+              {alternative && (
+                <p>
+                  <details>
+                    <summary>Alternative pages</summary>
+                    <ul>
+                      {alternative.map((alt, index) => (
+                        // eslint-disable-next-line react/no-array-index-key
+                        <li key={index}>
+                          <a href={alt}>{alt}</a>
+                          {alt.startsWith("/v0.1/") && (
+                            <>
+                              {" "}
+                              <LegacyBadge />
+                            </>
+                          )}
+                        </li>
+                      ))}
+                    </ul>
+                  </details>
+                </p>
+              )}
+              <p>
+                Please contact the owner of the site that linked you to the
+                original URL and let them know their link{" "}
+                {canonical
+                  ? "has moved."
+                  : alternative
+                  ? "has been removed."
+                  : "is broken."}
+              </p>
+            </div>
+          </div>
+        </main>
+      </Layout>
+    </>
+  );
+}

From 50b325168ebd2cfc7b0ccb5a7fc5c1e7c7942a0b Mon Sep 17 00:00:00 2001
From: Nicolas <nicolascamara29@gmail.com>
Date: Mon, 16 Sep 2024 01:56:53 -0400
Subject: [PATCH 207/344] docs: Fix Firecrawl v0 version in the docs (#6768)

---
 .../integrations/document_loaders/web_loaders/firecrawl.ipynb | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/docs/core_docs/docs/integrations/document_loaders/web_loaders/firecrawl.ipynb b/docs/core_docs/docs/integrations/document_loaders/web_loaders/firecrawl.ipynb
index 7f6ca8fa5d96..4126bc084b0a 100644
--- a/docs/core_docs/docs/integrations/document_loaders/web_loaders/firecrawl.ipynb
+++ b/docs/core_docs/docs/integrations/document_loaders/web_loaders/firecrawl.ipynb
@@ -37,7 +37,7 @@
     "\n",
     "## Setup\n",
     "\n",
-    "To access `FireCrawlLoader` document loader you'll need to install the `@langchain/community` integration, and the `@mendable/firecrawl-js` package. Then create a **[FireCrawl](https://firecrawl.dev)** account and get an API key.\n",
+    "To access `FireCrawlLoader` document loader you'll need to install the `@langchain/community` integration, and the `@mendable/firecrawl-js@0.0.36` package. Then create a **[FireCrawl](https://firecrawl.dev)** account and get an API key.\n",
     "\n",
     "### Credentials\n",
     "\n",
@@ -67,7 +67,7 @@
     "<IntegrationInstallTooltip></IntegrationInstallTooltip>\n",
     "\n",
     "<Npm2Yarn>\n",
-    "  @langchain/community @langchain/core @mendable/firecrawl-js\n",
+    "  @langchain/community @langchain/core @mendable/firecrawl-js@0.0.36\n",
     "</Npm2Yarn>\n",
     "\n",
     "```"

From 7f921a328d99ce9a3053592b804c729c27899cee Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Sun, 15 Sep 2024 23:21:44 -0700
Subject: [PATCH 208/344] docs: Fix concepts docs hash param (#6816)

---
 docs/core_docs/docs/how_to/output_parser_structured.ipynb | 2 +-
 docs/core_docs/docs/how_to/routing.mdx                    | 2 +-
 docs/core_docs/docs/how_to/streaming.ipynb                | 2 +-
 docs/core_docs/docs/tutorials/rag.ipynb                   | 2 +-
 docs/core_docs/src/theme/NotFound.js                      | 2 +-
 5 files changed, 5 insertions(+), 5 deletions(-)

diff --git a/docs/core_docs/docs/how_to/output_parser_structured.ipynb b/docs/core_docs/docs/how_to/output_parser_structured.ipynb
index c7860f637fa9..a6252a3aa1b9 100644
--- a/docs/core_docs/docs/how_to/output_parser_structured.ipynb
+++ b/docs/core_docs/docs/how_to/output_parser_structured.ipynb
@@ -140,7 +140,7 @@
    "id": "75976cd6-78e2-458b-821f-3ddf3683466b",
    "metadata": {},
    "source": [
-    "Output parsers implement the [Runnable interface](/docs/how_to/#langchain-expression-language-lcel), the basic building block of the [LangChain Expression Language (LCEL)](/docs/how_to/#langchain-expression-language-lcel). This means they support `invoke`, `stream`, `batch`, `streamLog` calls.\n",
+    "Output parsers implement the [Runnable interface](/docs/how_to/#langchain-expression-language-lcel), the basic building block of [LangChain Expression Language (LCEL)](/docs/how_to/#langchain-expression-language-lcel). This means they support `invoke`, `stream`, `batch`, `streamLog` calls.\n",
     "\n",
     "## Validation\n",
     "\n",
diff --git a/docs/core_docs/docs/how_to/routing.mdx b/docs/core_docs/docs/how_to/routing.mdx
index 1a92671ad5ee..be0aa6c3ff53 100644
--- a/docs/core_docs/docs/how_to/routing.mdx
+++ b/docs/core_docs/docs/how_to/routing.mdx
@@ -65,4 +65,4 @@ import BranchExample from "@examples/guides/expression_language/how_to_routing_r
 
 You've now learned how to add routing to your composed LCEL chains.
 
-Next, check out the other [how-to guides on runnables](/docs/how_to/#langchain-expression-language-lcel) in this section.
+Next, check out the other [how-to guides on runnables](/docs/how_to/#langchain-expression-language) in this section.
diff --git a/docs/core_docs/docs/how_to/streaming.ipynb b/docs/core_docs/docs/how_to/streaming.ipynb
index d83b0a29f741..f9817104e5ed 100644
--- a/docs/core_docs/docs/how_to/streaming.ipynb
+++ b/docs/core_docs/docs/how_to/streaming.ipynb
@@ -11,7 +11,7 @@
     "This guide assumes familiarity with the following concepts:\n",
     "\n",
     "- [Chat models](/docs/concepts/#chat-models)\n",
-    "- [LangChain Expression Language](/docs/concepts/#langchain-expression-language-lcel)\n",
+    "- [LangChain Expression Language](/docs/concepts/#langchain-expression-language)\n",
     "- [Output parsers](/docs/concepts/#output-parsers)\n",
     "\n",
     ":::\n",
diff --git a/docs/core_docs/docs/tutorials/rag.ipynb b/docs/core_docs/docs/tutorials/rag.ipynb
index c845c9149d72..5f19f579fb51 100644
--- a/docs/core_docs/docs/tutorials/rag.ipynb
+++ b/docs/core_docs/docs/tutorials/rag.ipynb
@@ -607,7 +607,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "We’ll use the [LCEL Runnable](/docs/how_to/#langchain-expression-language-lcel) protocol to define the chain, allowing us to - pipe together components and functions in a transparent way - automatically trace our chain in LangSmith - get streaming, async, and batched calling out of the box"
+        "We’ll use [LangChain Expression Language (LCEL)](/docs/how_to/#langchain-expression-language-lcel) to define the chain, allowing us to - pipe together components and functions in a transparent way - automatically trace our chain in LangSmith - get streaming, async, and batched calling out of the box"
       ]
     },
     {
diff --git a/docs/core_docs/src/theme/NotFound.js b/docs/core_docs/src/theme/NotFound.js
index 3c9460a99f15..d86f790e5755 100644
--- a/docs/core_docs/src/theme/NotFound.js
+++ b/docs/core_docs/src/theme/NotFound.js
@@ -116,7 +116,7 @@ const suggestedLinks = {
     alternative: ["/v0.1/docs/expression_language/streaming/"],
   },
   "/docs/expression_language/why/": {
-    canonical: "/docs/concepts/#langchain-expression-language-lcel",
+    canonical: "/docs/concepts/#langchain-expression-language",
     alternative: ["/v0.1/docs/expression_language/why/"],
   },
   "/docs/get_started/": {

From 331904400b9cdd10897adf84711e1140ec0e5972 Mon Sep 17 00:00:00 2001
From: Prakash Pokharel <pksharmapokhrel@gmail.com>
Date: Mon, 16 Sep 2024 12:02:24 +0530
Subject: [PATCH 209/344] fix(google): Fixed - TypeError: Cannot read
 properties of undefined (reading 'generationInfo') (#6756)

---
 libs/langchain-google-common/src/utils/gemini.ts | 5 +++++
 1 file changed, 5 insertions(+)

diff --git a/libs/langchain-google-common/src/utils/gemini.ts b/libs/langchain-google-common/src/utils/gemini.ts
index aab0699cec56..472f4c5725d8 100644
--- a/libs/langchain-google-common/src/utils/gemini.ts
+++ b/libs/langchain-google-common/src/utils/gemini.ts
@@ -624,6 +624,11 @@ export function getGeminiAPI(config?: GeminiAPIConfig) {
     response: GoogleLLMResponse
   ): ChatGeneration[] {
     const parts = responseToParts(response);
+
+    if (parts.length === 0) {
+      return [];
+    }
+
     let ret = parts.map((part) => partToChatGeneration(part));
     if (ret.every((item) => typeof item.message.content === "string")) {
       const combinedContent = ret.map((item) => item.message.content).join("");

From c597b217c212839156a55c8f9a4bcf0d9f5ee1c0 Mon Sep 17 00:00:00 2001
From: Brace Sproul <braceasproul@gmail.com>
Date: Mon, 16 Sep 2024 09:41:35 -0700
Subject: [PATCH 210/344] fix(ci): Conditionally deplpy api refs to prod
 (#6819)

---
 .github/workflows/deploy-api-refs-prod.yml | 9 +++++++--
 1 file changed, 7 insertions(+), 2 deletions(-)

diff --git a/.github/workflows/deploy-api-refs-prod.yml b/.github/workflows/deploy-api-refs-prod.yml
index c26b880732e9..fb3131eccd96 100644
--- a/.github/workflows/deploy-api-refs-prod.yml
+++ b/.github/workflows/deploy-api-refs-prod.yml
@@ -35,5 +35,10 @@ jobs:
         run: yarn turbo:command build --filter=!examples --filter=!api_refs --filter=!core_docs --filter=!create-langchain-integration
       - name: Build Project Artifacts
         run: vercel build --prod --token=${{ secrets.VERCEL_TOKEN }}
-      - name: Deploy Project Artifacts to Vercel
-        run: vercel deploy --prebuilt --prod --token=${{ secrets.VERCEL_TOKEN }}
\ No newline at end of file
+      - name: Deploy to Vercel
+        run: |
+          if [ ${{ github.ref }} = 'refs/heads/main' ]; then
+            vercel deploy --prod --token=${{ secrets.VERCEL_TOKEN }}
+          else
+            vercel deploy --token=${{ secrets.VERCEL_TOKEN }}
+          fi
\ No newline at end of file

From 4bf183d4591f3c168b82a755a7b5df9023e07cdf Mon Sep 17 00:00:00 2001
From: Brace Sproul <braceasproul@gmail.com>
Date: Mon, 16 Sep 2024 10:30:47 -0700
Subject: [PATCH 211/344] fix(ci): Add vercel ignore file (#6820)

---
 .vercelignore | 2 ++
 1 file changed, 2 insertions(+)
 create mode 100644 .vercelignore

diff --git a/.vercelignore b/.vercelignore
new file mode 100644
index 000000000000..c5b1e3f4798d
--- /dev/null
+++ b/.vercelignore
@@ -0,0 +1,2 @@
+node_modules/
+**/node_modules/
\ No newline at end of file

From 52c9727e1be32a93a995627e0c8039572a4ac02f Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Mon, 16 Sep 2024 12:53:51 -0700
Subject: [PATCH 212/344] feat(google-common): Export ChatConnection class
 (#6823)

---
 libs/langchain-google-common/src/chat_models.ts | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/libs/langchain-google-common/src/chat_models.ts b/libs/langchain-google-common/src/chat_models.ts
index 4ee4e0f6ed05..d770c25b026f 100644
--- a/libs/langchain-google-common/src/chat_models.ts
+++ b/libs/langchain-google-common/src/chat_models.ts
@@ -54,7 +54,7 @@ import type {
 } from "./types.js";
 import { zodToGeminiParameters } from "./utils/zod_to_gemini_parameters.js";
 
-class ChatConnection<AuthOptions> extends AbstractGoogleLLMConnection<
+export class ChatConnection<AuthOptions> extends AbstractGoogleLLMConnection<
   BaseMessage[],
   AuthOptions
 > {

From ec53cb3a1a9507a23eb29fec8021fb1af41ac762 Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Mon, 16 Sep 2024 12:57:02 -0700
Subject: [PATCH 213/344] chore(google-common): Release 0.1.1 (#6824)

---
 libs/langchain-google-common/package.json | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/libs/langchain-google-common/package.json b/libs/langchain-google-common/package.json
index f572c194c97a..4209d3c70f66 100644
--- a/libs/langchain-google-common/package.json
+++ b/libs/langchain-google-common/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/google-common",
-  "version": "0.1.0",
+  "version": "0.1.1",
   "description": "Core types and classes for Google services.",
   "type": "module",
   "engines": {

From b0bba948abc2c16b41780dba9d77e5ec5e3b9fe4 Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Mon, 16 Sep 2024 16:32:25 -0700
Subject: [PATCH 214/344] fix(core,langchain,community): Update LangSmith deps,
 lighten export tests (#6825)

---
 .../test-exports-cf/package.json              |   1 -
 .../test-exports-cf/src/index.ts              |  17 ++-
 .../test-exports-cjs/package.json             |   2 -
 .../test-exports-cjs/src/import.js            |  13 +-
 .../test-exports-cjs/src/index.mjs            |  13 +-
 .../test-exports-cjs/src/index.ts             |  12 +-
 .../test-exports-cjs/src/require.js           |  13 +-
 .../test-exports-esbuild/package.json         |   1 -
 .../test-exports-esbuild/src/import.cjs       |  13 +-
 .../test-exports-esbuild/src/index.js         |  13 +-
 .../test-exports-esbuild/src/require.cjs      |  13 +-
 .../test-exports-esbuild/src/typescript.ts    |  12 +-
 .../test-exports-esm/package.json             |   1 -
 .../test-exports-esm/src/import.cjs           |  13 +-
 .../test-exports-esm/src/index.js             |  13 +-
 .../test-exports-esm/src/index.ts             |  12 +-
 .../test-exports-esm/src/require.cjs          |  13 +-
 examples/package.json                         |   4 +-
 langchain-core/package.json                   |   2 +-
 langchain/package.json                        |   2 +-
 libs/langchain-baidu-qianfan/package.json     |   2 +-
 libs/langchain-community/package.json         |   2 +-
 yarn.lock                                     | 130 ++----------------
 23 files changed, 63 insertions(+), 254 deletions(-)

diff --git a/environment_tests/test-exports-cf/package.json b/environment_tests/test-exports-cf/package.json
index 86264ea5ee3e..e4381ee76937 100644
--- a/environment_tests/test-exports-cf/package.json
+++ b/environment_tests/test-exports-cf/package.json
@@ -12,7 +12,6 @@
     "@langchain/core": "workspace:*",
     "@langchain/openai": "workspace:*",
     "@tsconfig/recommended": "^1.0.2",
-    "d3-dsv": "2",
     "langchain": "workspace:*",
     "wrangler": "^3.19.0",
     "vitest": "0.34.3",
diff --git a/environment_tests/test-exports-cf/src/index.ts b/environment_tests/test-exports-cf/src/index.ts
index b89be67fcc5a..8bab0db82c3d 100644
--- a/environment_tests/test-exports-cf/src/index.ts
+++ b/environment_tests/test-exports-cf/src/index.ts
@@ -12,7 +12,6 @@
 import "./entrypoints.js";
 
 // Import a few things we'll use to test the exports
-import { LLMChain } from "langchain/chains";
 import { ChatOpenAI } from "@langchain/openai";
 import {
   ChatPromptTemplate,
@@ -20,6 +19,8 @@ import {
 } from "@langchain/core/prompts";
 import { OpenAI } from "@langchain/openai";
 import { OpenAIEmbeddings } from "@langchain/openai";
+import { StringOutputParser } from "@langchain/core/output_parsers";
+import { MemoryVectorStore } from "langchain/vectorstores/memory";
 
 export interface Env {
   OPENAI_API_KEY?: string;
@@ -51,14 +52,12 @@ export default {
     const emb = new OpenAIEmbeddings(constructorParameters);
 
     // Test a chain + prompt + model
-    const chain = new LLMChain({
-      llm: new ChatOpenAI(constructorParameters),
-      prompt: ChatPromptTemplate.fromMessages([
-        HumanMessagePromptTemplate.fromTemplate("{input}"),
-      ]),
-    });
-    const res = await chain.run("hello");
-
+    const prompt = ChatPromptTemplate.fromMessages([
+      HumanMessagePromptTemplate.fromTemplate("{input}"),
+    ]);
+    const llm = new ChatOpenAI(constructorParameters);
+    const chain = prompt.pipe(llm).pipe(new StringOutputParser());
+    const res = await chain.invoke("hello");
     return new Response(
       `Hello, from Cloudflare Worker at ${request.url}. Assistant says: ${res}`
     );
diff --git a/environment_tests/test-exports-cjs/package.json b/environment_tests/test-exports-cjs/package.json
index 1c842dd768c9..869134a6856f 100644
--- a/environment_tests/test-exports-cjs/package.json
+++ b/environment_tests/test-exports-cjs/package.json
@@ -27,8 +27,6 @@
     "@langchain/openai": "workspace:*",
     "@tsconfig/recommended": "^1.0.2",
     "@xenova/transformers": "^2.17.2",
-    "d3-dsv": "2",
-    "hnswlib-node": "^3.0.0",
     "langchain": "workspace:*",
     "typescript": "^5.0.0"
   },
diff --git a/environment_tests/test-exports-cjs/src/import.js b/environment_tests/test-exports-cjs/src/import.js
index d0c116c774e5..752cfdea37ba 100644
--- a/environment_tests/test-exports-cjs/src/import.js
+++ b/environment_tests/test-exports-cjs/src/import.js
@@ -3,24 +3,17 @@ async function test() {
   const { OpenAI } = await import("@langchain/openai");
   const { LLMChain } = await import("langchain/chains");
   const { ChatPromptTemplate } = await import("@langchain/core/prompts");
-  const { HNSWLib } = await import("@langchain/community/vectorstores/hnswlib");
   const { HuggingFaceTransformersEmbeddings } = await import("@langchain/community/embeddings/hf_transformers");
   const { Document } = await import("@langchain/core/documents");
+  const { MemoryVectorStore } = await import("langchain/vectorstores/memory");
 
   // Test exports
   assert(typeof OpenAI === "function");
   assert(typeof LLMChain === "function");
   assert(typeof ChatPromptTemplate === "function");
-  assert(typeof HNSWLib === "function");
+  assert(typeof MemoryVectorStore === "function");
 
-  // Test dynamic imports of peer dependencies
-  const { HierarchicalNSW } = await HNSWLib.imports();
-
-  const vs = new HNSWLib(new HuggingFaceTransformersEmbeddings({ model: "Xenova/all-MiniLM-L6-v2" }), {
-    space: "ip",
-    numDimensions: 3,
-    index: new HierarchicalNSW("ip", 3),
-  });
+  const vs = new MemoryVectorStore(new HuggingFaceTransformersEmbeddings({ model: "Xenova/all-MiniLM-L6-v2" }));
 
   await vs.addVectors(
     [
diff --git a/environment_tests/test-exports-cjs/src/index.mjs b/environment_tests/test-exports-cjs/src/index.mjs
index 36ce9d72a71d..632b8081fbaa 100644
--- a/environment_tests/test-exports-cjs/src/index.mjs
+++ b/environment_tests/test-exports-cjs/src/index.mjs
@@ -1,7 +1,7 @@
 import assert from "assert";
 import { OpenAI } from "@langchain/openai";
 import { LLMChain } from "langchain/chains";
-import { HNSWLib } from "@langchain/community/vectorstores/hnswlib";
+import { MemoryVectorStore } from "langchain/vectorstores/memory";
 import { ChatPromptTemplate } from "@langchain/core/prompts";
 import { HuggingFaceTransformersEmbeddings } from "@langchain/community/embeddings/hf_transformers";
 import { Document } from "@langchain/core/documents";
@@ -10,16 +10,9 @@ import { Document } from "@langchain/core/documents";
 assert(typeof OpenAI === "function");
 assert(typeof LLMChain === "function");
 assert(typeof ChatPromptTemplate === "function");
-assert(typeof HNSWLib === "function");
+assert(typeof MemoryVectorStore === "function");
 
-// Test dynamic imports of peer dependencies
-const { HierarchicalNSW } = await HNSWLib.imports();
-
-const vs = new HNSWLib(new HuggingFaceTransformersEmbeddings({ model: "Xenova/all-MiniLM-L6-v2" }), {
-  space: "ip",
-  numDimensions: 3,
-  index: new HierarchicalNSW("ip", 3),
-});
+const vs = new MemoryVectorStore(new HuggingFaceTransformersEmbeddings({ model: "Xenova/all-MiniLM-L6-v2" }));
 
 await vs.addVectors(
   [
diff --git a/environment_tests/test-exports-cjs/src/index.ts b/environment_tests/test-exports-cjs/src/index.ts
index 66a7b716b4d8..d2dcb9ebab0d 100644
--- a/environment_tests/test-exports-cjs/src/index.ts
+++ b/environment_tests/test-exports-cjs/src/index.ts
@@ -2,7 +2,7 @@ import assert from "assert";
 import { OpenAI } from "@langchain/openai";
 import { LLMChain } from "langchain/chains";
 import { ChatPromptTemplate } from "@langchain/core/prompts";
-import { HNSWLib } from "@langchain/community/vectorstores/hnswlib";
+import { MemoryVectorStore } from "langchain/vectorstores/memory";
 import { HuggingFaceTransformersEmbeddings } from "@langchain/community/embeddings/hf_transformers";
 import { Document } from "@langchain/core/documents";
 
@@ -11,10 +11,9 @@ async function test(useAzure: boolean = false) {
   assert(typeof OpenAI === "function");
   assert(typeof LLMChain === "function");
   assert(typeof ChatPromptTemplate === "function");
-  assert(typeof HNSWLib === "function");
+  assert(typeof MemoryVectorStore === "function");
 
   // Test dynamic imports of peer dependencies
-  const { HierarchicalNSW } = await HNSWLib.imports();
   const openAIParameters = useAzure
     ? {
         azureOpenAIApiKey: "sk-XXXX",
@@ -25,11 +24,8 @@ async function test(useAzure: boolean = false) {
     : {
         openAIApiKey: "sk-XXXX",
       };
-  const vs = new HNSWLib(new HuggingFaceTransformersEmbeddings({ model: "Xenova/all-MiniLM-L6-v2" }), {
-    space: "ip",
-    numDimensions: 3,
-    index: new HierarchicalNSW("ip", 3),
-  });
+
+  const vs = new MemoryVectorStore(new HuggingFaceTransformersEmbeddings({ model: "Xenova/all-MiniLM-L6-v2" }));
 
   await vs.addVectors(
     [
diff --git a/environment_tests/test-exports-cjs/src/require.js b/environment_tests/test-exports-cjs/src/require.js
index 7f6fb549111d..1343f8587f35 100644
--- a/environment_tests/test-exports-cjs/src/require.js
+++ b/environment_tests/test-exports-cjs/src/require.js
@@ -2,7 +2,7 @@ const assert = require("assert");
 const { OpenAI } = require("@langchain/openai");
 const { LLMChain } = require("langchain/chains");
 const { ChatPromptTemplate } = require("@langchain/core/prompts");
-const { HNSWLib } = require("@langchain/community/vectorstores/hnswlib");
+const { MemoryVectorStore } = require("langchain/vectorstores/memory");
 const { HuggingFaceTransformersEmbeddings } = require("@langchain/community/embeddings/hf_transformers");
 const { Document } = require("@langchain/core/documents");
 
@@ -11,16 +11,9 @@ async function test() {
   assert(typeof OpenAI === "function");
   assert(typeof LLMChain === "function");
   assert(typeof ChatPromptTemplate === "function");
-  assert(typeof HNSWLib === "function");
+  assert(typeof MemoryVectorStore === "function");
 
-  // Test dynamic imports of peer dependencies
-  const { HierarchicalNSW } = await HNSWLib.imports();
-
-  const vs = new HNSWLib(new HuggingFaceTransformersEmbeddings({ model: "Xenova/all-MiniLM-L6-v2" }), {
-    space: "ip",
-    numDimensions: 3,
-    index: new HierarchicalNSW("ip", 3),
-  });
+  const vs = new MemoryVectorStore(new HuggingFaceTransformersEmbeddings({ model: "Xenova/all-MiniLM-L6-v2" }));
 
   await vs.addVectors(
     [
diff --git a/environment_tests/test-exports-esbuild/package.json b/environment_tests/test-exports-esbuild/package.json
index d4eb19c76517..03c66e9770b0 100644
--- a/environment_tests/test-exports-esbuild/package.json
+++ b/environment_tests/test-exports-esbuild/package.json
@@ -25,7 +25,6 @@
     "@langchain/openai": "workspace:*",
     "@tsconfig/recommended": "^1.0.2",
     "esbuild": "^0.17.18",
-    "hnswlib-node": "^3.0.0",
     "langchain": "workspace:*",
     "typescript": "^5.0.0"
   },
diff --git a/environment_tests/test-exports-esbuild/src/import.cjs b/environment_tests/test-exports-esbuild/src/import.cjs
index 5a63cc4eb32f..0d56038c6680 100644
--- a/environment_tests/test-exports-esbuild/src/import.cjs
+++ b/environment_tests/test-exports-esbuild/src/import.cjs
@@ -3,7 +3,7 @@ async function test() {
   const { OpenAI } = await import("@langchain/openai");
   const { LLMChain } = await import("langchain/chains");
   const { ChatPromptTemplate } = await import("@langchain/core/prompts");
-  const { HNSWLib } = await import("@langchain/community/vectorstores/hnswlib");
+  const { MemoryVectorStore } = await import("langchain/vectorstores/memory");
   const { OpenAIEmbeddings } = await import("@langchain/openai");
   const { Document } = await import("@langchain/core/documents");
 
@@ -11,16 +11,9 @@ async function test() {
   assert(typeof OpenAI === "function");
   assert(typeof LLMChain === "function");
   assert(typeof ChatPromptTemplate === "function");
-  assert(typeof HNSWLib === "function");
+  assert(typeof MemoryVectorStore === "function");
 
-  // Test dynamic imports of peer dependencies
-  const { HierarchicalNSW } = await HNSWLib.imports();
-
-  const vs = new HNSWLib(new OpenAIEmbeddings({ openAIApiKey: "sk-XXXX" }), {
-    space: "ip",
-    numDimensions: 3,
-    index: new HierarchicalNSW("ip", 3),
-  });
+  const vs = new MemoryVectorStore(new OpenAIEmbeddings({ openAIApiKey: "sk-XXXX" }));
 
   await vs.addVectors(
     [
diff --git a/environment_tests/test-exports-esbuild/src/index.js b/environment_tests/test-exports-esbuild/src/index.js
index 167a8f92d612..dc1227f31169 100644
--- a/environment_tests/test-exports-esbuild/src/index.js
+++ b/environment_tests/test-exports-esbuild/src/index.js
@@ -2,7 +2,7 @@ import assert from "assert";
 import { OpenAI } from "@langchain/openai";
 import { LLMChain } from "langchain/chains";
 import { ChatPromptTemplate } from "@langchain/core/prompts";
-import { HNSWLib } from "@langchain/community/vectorstores/hnswlib";
+import { MemoryVectorStore } from "langchain/vectorstores/memory";
 import { OpenAIEmbeddings } from "@langchain/openai";
 import { Document } from "@langchain/core/documents";
 import { CallbackManager } from "@langchain/core/callbacks/manager";
@@ -11,18 +11,11 @@ import { CallbackManager } from "@langchain/core/callbacks/manager";
 assert(typeof OpenAI === "function");
 assert(typeof LLMChain === "function");
 assert(typeof ChatPromptTemplate === "function");
-assert(typeof HNSWLib === "function");
+assert(typeof MemoryVectorStore === "function");
 assert(typeof OpenAIEmbeddings === "function");
 assert(typeof CallbackManager === "function");
 
-// Test dynamic imports of peer dependencies
-const { HierarchicalNSW } = await HNSWLib.imports();
-
-const vs = new HNSWLib(new OpenAIEmbeddings({ openAIApiKey: "sk-XXXX" }), {
-  space: "ip",
-  numDimensions: 3,
-  index: new HierarchicalNSW("ip", 3),
-});
+const vs = new MemoryVectorStore(new OpenAIEmbeddings({ openAIApiKey: "sk-XXXX" }));
 
 await vs.addVectors(
   [
diff --git a/environment_tests/test-exports-esbuild/src/require.cjs b/environment_tests/test-exports-esbuild/src/require.cjs
index b0920e12d41e..7750e2def235 100644
--- a/environment_tests/test-exports-esbuild/src/require.cjs
+++ b/environment_tests/test-exports-esbuild/src/require.cjs
@@ -2,7 +2,7 @@ const assert = require("assert");
 const { OpenAI } = require("@langchain/openai");
 const { LLMChain } = require("langchain/chains");
 const { ChatPromptTemplate } = require("@langchain/core/prompts");
-const { HNSWLib } = require("@langchain/community/vectorstores/hnswlib");
+const { MemoryVectorStore } = require("langchain/vectorstores/memory");
 const { OpenAIEmbeddings } = require("@langchain/openai");
 const { Document } = require("@langchain/core/documents");
 
@@ -11,16 +11,9 @@ async function test() {
   assert(typeof OpenAI === "function");
   assert(typeof LLMChain === "function");
   assert(typeof ChatPromptTemplate === "function");
-  assert(typeof HNSWLib === "function");
+  assert(typeof MemoryVectorStore === "function");
 
-  // Test dynamic imports of peer dependencies
-  const { HierarchicalNSW } = await HNSWLib.imports();
-
-  const vs = new HNSWLib(new OpenAIEmbeddings({ openAIApiKey: "sk-XXXX" }), {
-    space: "ip",
-    numDimensions: 3,
-    index: new HierarchicalNSW("ip", 3),
-  });
+  const vs = new MemoryVectorStore(new OpenAIEmbeddings({ openAIApiKey: "sk-XXXX" }));
 
   await vs.addVectors(
     [
diff --git a/environment_tests/test-exports-esbuild/src/typescript.ts b/environment_tests/test-exports-esbuild/src/typescript.ts
index 2c3989e8100c..0fdc84f9bedd 100644
--- a/environment_tests/test-exports-esbuild/src/typescript.ts
+++ b/environment_tests/test-exports-esbuild/src/typescript.ts
@@ -2,7 +2,7 @@ import assert from "assert";
 import { OpenAI } from "@langchain/openai";
 import { LLMChain } from "langchain/chains";
 import { ChatPromptTemplate } from "@langchain/core/prompts";
-import { HNSWLib } from "@langchain/community/vectorstores/hnswlib";
+import { MemoryVectorStore } from "langchain/vectorstores/memory";
 import { OpenAIEmbeddings } from "@langchain/openai";
 import { Document } from "@langchain/core/documents";
 
@@ -11,10 +11,8 @@ async function test(useAzure: boolean = false) {
   assert(typeof OpenAI === "function");
   assert(typeof LLMChain === "function");
   assert(typeof ChatPromptTemplate === "function");
-  assert(typeof HNSWLib === "function");
+  assert(typeof MemoryVectorStore === "function");
 
-  // Test dynamic imports of peer dependencies
-  const { HierarchicalNSW } = await HNSWLib.imports();
   const openAIParameters = useAzure
     ? {
         azureOpenAIApiKey: "sk-XXXX",
@@ -26,11 +24,7 @@ async function test(useAzure: boolean = false) {
         openAIApiKey: "sk-XXXX",
       };
 
-  const vs = new HNSWLib(new OpenAIEmbeddings(openAIParameters), {
-    space: "ip",
-    numDimensions: 3,
-    index: new HierarchicalNSW("ip", 3),
-  });
+  const vs = new MemoryVectorStore(new OpenAIEmbeddings(openAIParameters));
 
   await vs.addVectors(
     [
diff --git a/environment_tests/test-exports-esm/package.json b/environment_tests/test-exports-esm/package.json
index 81e31aec7d05..df0bb2b40168 100644
--- a/environment_tests/test-exports-esm/package.json
+++ b/environment_tests/test-exports-esm/package.json
@@ -28,7 +28,6 @@
     "@langchain/openai": "workspace:*",
     "@tsconfig/recommended": "^1.0.2",
     "@xenova/transformers": "^2.17.2",
-    "hnswlib-node": "^3.0.0",
     "langchain": "workspace:*",
     "typescript": "^5.0.0"
   },
diff --git a/environment_tests/test-exports-esm/src/import.cjs b/environment_tests/test-exports-esm/src/import.cjs
index 31cfb59e0996..6837754c442c 100644
--- a/environment_tests/test-exports-esm/src/import.cjs
+++ b/environment_tests/test-exports-esm/src/import.cjs
@@ -3,7 +3,7 @@ async function test() {
   const { OpenAI } = await import("@langchain/openai");
   const { LLMChain } = await import("langchain/chains");
   const { ChatPromptTemplate } = await import("@langchain/core/prompts");
-  const { HNSWLib } = await import("@langchain/community/vectorstores/hnswlib");
+  const { MemoryVectorStore } = await import("langchain/vectorstores/memory");
   const { HuggingFaceTransformersEmbeddings } = await import("@langchain/community/embeddings/hf_transformers");
   const { Document } = await import("@langchain/core/documents");
 
@@ -11,16 +11,9 @@ async function test() {
   assert(typeof OpenAI === "function");
   assert(typeof LLMChain === "function");
   assert(typeof ChatPromptTemplate === "function");
-  assert(typeof HNSWLib === "function");
+  assert(typeof MemoryVectorStore === "function");
 
-  // Test dynamic imports of peer dependencies
-  const { HierarchicalNSW } = await HNSWLib.imports();
-
-  const vs = new HNSWLib(new HuggingFaceTransformersEmbeddings({ model: "Xenova/all-MiniLM-L6-v2", }), {
-    space: "ip",
-    numDimensions: 3,
-    index: new HierarchicalNSW("ip", 3),
-  });
+  const vs = new MemoryVectorStore(new HuggingFaceTransformersEmbeddings({ model: "Xenova/all-MiniLM-L6-v2", }));
 
   await vs.addVectors(
     [
diff --git a/environment_tests/test-exports-esm/src/index.js b/environment_tests/test-exports-esm/src/index.js
index 950ff4934d24..2347699ee1dc 100644
--- a/environment_tests/test-exports-esm/src/index.js
+++ b/environment_tests/test-exports-esm/src/index.js
@@ -2,7 +2,7 @@ import assert from "assert";
 import { OpenAI } from "@langchain/openai";
 import { LLMChain } from "langchain/chains";
 import { ChatPromptTemplate } from "@langchain/core/prompts";
-import { HNSWLib } from "@langchain/community/vectorstores/hnswlib";
+import { MemoryVectorStore } from "langchain/vectorstores/memory";
 import { HuggingFaceTransformersEmbeddings } from "@langchain/community/embeddings/hf_transformers";
 import { Document } from "@langchain/core/documents";
 import { CallbackManager } from "@langchain/core/callbacks/manager";
@@ -11,18 +11,11 @@ import { CallbackManager } from "@langchain/core/callbacks/manager";
 assert(typeof OpenAI === "function");
 assert(typeof LLMChain === "function");
 assert(typeof ChatPromptTemplate === "function");
-assert(typeof HNSWLib === "function");
+assert(typeof MemoryVectorStore === "function");
 assert(typeof HuggingFaceTransformersEmbeddings === "function");
 assert(typeof CallbackManager === "function");
 
-// Test dynamic imports of peer dependencies
-const { HierarchicalNSW } = await HNSWLib.imports();
-
-const vs = new HNSWLib(new HuggingFaceTransformersEmbeddings({ model: "Xenova/all-MiniLM-L6-v2", }), {
-  space: "ip",
-  numDimensions: 3,
-  index: new HierarchicalNSW("ip", 3),
-});
+const vs = new MemoryVectorStore(new HuggingFaceTransformersEmbeddings({ model: "Xenova/all-MiniLM-L6-v2", }));
 
 await vs.addVectors(
   [
diff --git a/environment_tests/test-exports-esm/src/index.ts b/environment_tests/test-exports-esm/src/index.ts
index f01a635b08ef..c29f419c07a8 100644
--- a/environment_tests/test-exports-esm/src/index.ts
+++ b/environment_tests/test-exports-esm/src/index.ts
@@ -2,7 +2,7 @@ import assert from "assert";
 import { OpenAI } from "@langchain/openai";
 import { LLMChain } from "langchain/chains";
 import { ChatPromptTemplate } from "@langchain/core/prompts";
-import { HNSWLib } from "@langchain/community/vectorstores/hnswlib";
+import { MemoryVectorStore } from "langchain/vectorstores/memory";
 import { HuggingFaceTransformersEmbeddings } from "@langchain/community/embeddings/hf_transformers";
 import { Document } from "@langchain/core/documents";
 
@@ -11,10 +11,8 @@ async function test(useAzure: boolean = false) {
   assert(typeof OpenAI === "function");
   assert(typeof LLMChain === "function");
   assert(typeof ChatPromptTemplate === "function");
-  assert(typeof HNSWLib === "function");
+  assert(typeof MemoryVectorStore === "function");
 
-  // Test dynamic imports of peer dependencies
-  const { HierarchicalNSW } = await HNSWLib.imports();
   const openAIParameters = useAzure
     ? {
         azureOpenAIApiKey: "sk-XXXX",
@@ -26,11 +24,7 @@ async function test(useAzure: boolean = false) {
         openAIApiKey: "sk-XXXX",
       };
 
-  const vs = new HNSWLib(new HuggingFaceTransformersEmbeddings({ model: "Xenova/all-MiniLM-L6-v2", }), {
-    space: "ip",
-    numDimensions: 3,
-    index: new HierarchicalNSW("ip", 3),
-  });
+  const vs = new MemoryVectorStore(new HuggingFaceTransformersEmbeddings({ model: "Xenova/all-MiniLM-L6-v2", }));
 
   await vs.addVectors(
     [
diff --git a/environment_tests/test-exports-esm/src/require.cjs b/environment_tests/test-exports-esm/src/require.cjs
index b8dc4145ef4e..31461c4b6c23 100644
--- a/environment_tests/test-exports-esm/src/require.cjs
+++ b/environment_tests/test-exports-esm/src/require.cjs
@@ -2,7 +2,7 @@ const assert = require("assert");
 const { OpenAI } = require("@langchain/openai");
 const { LLMChain } = require("langchain/chains");
 const { ChatPromptTemplate } = require("@langchain/core/prompts");
-const { HNSWLib } = require("@langchain/community/vectorstores/hnswlib");
+const { MemoryVectorStore } = require("langchain/vectorstores/memory");
 const { HuggingFaceTransformersEmbeddings } = require("@langchain/community/embeddings/hf_transformers");
 const { Document } = require("@langchain/core/documents");
 
@@ -11,16 +11,9 @@ async function test() {
   assert(typeof OpenAI === "function");
   assert(typeof LLMChain === "function");
   assert(typeof ChatPromptTemplate === "function");
-  assert(typeof HNSWLib === "function");
+  assert(typeof MemoryVectorStore === "function");
 
-  // Test dynamic imports of peer dependencies
-  const { HierarchicalNSW } = await HNSWLib.imports();
-
-  const vs = new HNSWLib(new HuggingFaceTransformersEmbeddings({ model: "Xenova/all-MiniLM-L6-v2", }), {
-    space: "ip",
-    numDimensions: 3,
-    index: new HierarchicalNSW("ip", 3),
-  });
+  const vs = new MemoryVectorStore(new HuggingFaceTransformersEmbeddings({ model: "Xenova/all-MiniLM-L6-v2", }));
 
   await vs.addVectors(
     [
diff --git a/examples/package.json b/examples/package.json
index c3dab06a5b36..e20870dc08d7 100644
--- a/examples/package.json
+++ b/examples/package.json
@@ -49,7 +49,7 @@
     "@langchain/google-vertexai": "workspace:*",
     "@langchain/google-vertexai-web": "workspace:*",
     "@langchain/groq": "workspace:*",
-    "@langchain/langgraph": "^0.0.28",
+    "@langchain/langgraph": "^0.2.3",
     "@langchain/mistralai": "workspace:*",
     "@langchain/mongodb": "workspace:*",
     "@langchain/nomic": "workspace:*",
@@ -91,7 +91,7 @@
     "ioredis": "^5.3.2",
     "js-yaml": "^4.1.0",
     "langchain": "workspace:*",
-    "langsmith": "^0.1.43",
+    "langsmith": "^0.1.56",
     "mongodb": "^6.3.0",
     "pg": "^8.11.0",
     "pickleparser": "^0.2.1",
diff --git a/langchain-core/package.json b/langchain-core/package.json
index d8184eaa9b36..530bc1324495 100644
--- a/langchain-core/package.json
+++ b/langchain-core/package.json
@@ -37,7 +37,7 @@
     "camelcase": "6",
     "decamelize": "1.2.0",
     "js-tiktoken": "^1.0.12",
-    "langsmith": "^0.1.56-rc.1",
+    "langsmith": "^0.1.56",
     "mustache": "^4.2.0",
     "p-queue": "^6.6.2",
     "p-retry": "4",
diff --git a/langchain/package.json b/langchain/package.json
index 275c3977d85b..e885663908a0 100644
--- a/langchain/package.json
+++ b/langchain/package.json
@@ -520,7 +520,7 @@
     "js-tiktoken": "^1.0.12",
     "js-yaml": "^4.1.0",
     "jsonpointer": "^5.0.1",
-    "langsmith": "^0.1.56-rc.1",
+    "langsmith": "^0.1.56",
     "openapi-types": "^12.1.3",
     "p-retry": "4",
     "uuid": "^10.0.0",
diff --git a/libs/langchain-baidu-qianfan/package.json b/libs/langchain-baidu-qianfan/package.json
index 4f148830b845..86569d744929 100644
--- a/libs/langchain-baidu-qianfan/package.json
+++ b/libs/langchain-baidu-qianfan/package.json
@@ -42,7 +42,7 @@
   "devDependencies": {
     "@jest/globals": "^29.5.0",
     "@langchain/core": "workspace:*",
-    "@langchain/openai": "~0.1.0",
+    "@langchain/openai": "~0.3.0",
     "@langchain/scripts": ">=0.1.0 <0.2.0",
     "@swc/core": "^1.3.90",
     "@swc/jest": "^0.2.29",
diff --git a/libs/langchain-community/package.json b/libs/langchain-community/package.json
index 68270c52d197..389e6b303a1e 100644
--- a/libs/langchain-community/package.json
+++ b/libs/langchain-community/package.json
@@ -41,7 +41,7 @@
     "flat": "^5.0.2",
     "js-yaml": "^4.1.0",
     "langchain": ">=0.2.3 <0.4.0",
-    "langsmith": "~0.1.30",
+    "langsmith": "~0.1.56",
     "uuid": "^10.0.0",
     "zod": "^3.22.3",
     "zod-to-json-schema": "^3.22.5"
diff --git a/yarn.lock b/yarn.lock
index 2b73eb7f4b3f..0be8a8815eec 100644
--- a/yarn.lock
+++ b/yarn.lock
@@ -11301,7 +11301,7 @@ __metadata:
     "@baiducloud/qianfan": ^0.1.6
     "@jest/globals": ^29.5.0
     "@langchain/core": "workspace:*"
-    "@langchain/openai": ~0.1.0
+    "@langchain/openai": ~0.3.0
     "@langchain/scripts": ">=0.1.0 <0.2.0"
     "@swc/core": ^1.3.90
     "@swc/jest": ^0.2.29
@@ -11545,7 +11545,7 @@ __metadata:
     jsdom: ^22.1.0
     jsonwebtoken: ^9.0.2
     langchain: ">=0.2.3 <0.4.0"
-    langsmith: ~0.1.30
+    langsmith: ~0.1.56
     llmonitor: ^0.5.9
     lodash: ^4.17.21
     lunary: ^0.7.10
@@ -11954,25 +11954,6 @@ __metadata:
   languageName: unknown
   linkType: soft
 
-"@langchain/core@npm:>=0.2.16 <0.3.0, @langchain/core@npm:>=0.2.5 <0.3.0":
-  version: 0.2.32
-  resolution: "@langchain/core@npm:0.2.32"
-  dependencies:
-    ansi-styles: ^5.0.0
-    camelcase: 6
-    decamelize: 1.2.0
-    js-tiktoken: ^1.0.12
-    langsmith: ^0.1.43
-    mustache: ^4.2.0
-    p-queue: ^6.6.2
-    p-retry: 4
-    uuid: ^10.0.0
-    zod: ^3.22.4
-    zod-to-json-schema: ^3.22.3
-  checksum: b26380e94c8838a1643177a53bef4c628ea583714a2e93e18a3126413f95756dc6dfbaf0572fe0965afcc79092d4a0c0e0851c932830261bd6c84d6380a0ac74
-  languageName: node
-  linkType: hard
-
 "@langchain/core@workspace:*, @langchain/core@workspace:langchain-core":
   version: 0.0.0-use.local
   resolution: "@langchain/core@workspace:langchain-core"
@@ -11997,7 +11978,7 @@ __metadata:
     jest: ^29.5.0
     jest-environment-node: ^29.6.4
     js-tiktoken: ^1.0.12
-    langsmith: ^0.1.56-rc.1
+    langsmith: ^0.1.56
     ml-matrix: ^6.10.4
     mustache: ^4.2.0
     p-queue: ^6.6.2
@@ -12311,7 +12292,7 @@ __metadata:
   languageName: node
   linkType: hard
 
-"@langchain/langgraph@npm:0.2.3":
+"@langchain/langgraph@npm:0.2.3, @langchain/langgraph@npm:^0.2.3":
   version: 0.2.3
   resolution: "@langchain/langgraph@npm:0.2.3"
   dependencies:
@@ -12566,7 +12547,7 @@ __metadata:
   languageName: unknown
   linkType: soft
 
-"@langchain/openai@>=0.1.0 <0.4.0, @langchain/openai@>=0.2.0 <0.4.0, @langchain/openai@workspace:*, @langchain/openai@workspace:^, @langchain/openai@workspace:libs/langchain-openai":
+"@langchain/openai@>=0.1.0 <0.4.0, @langchain/openai@>=0.2.0 <0.4.0, @langchain/openai@workspace:*, @langchain/openai@workspace:^, @langchain/openai@workspace:libs/langchain-openai, @langchain/openai@~0.3.0":
   version: 0.0.0-use.local
   resolution: "@langchain/openai@workspace:libs/langchain-openai"
   dependencies:
@@ -12601,19 +12582,6 @@ __metadata:
   languageName: unknown
   linkType: soft
 
-"@langchain/openai@npm:~0.1.0":
-  version: 0.1.3
-  resolution: "@langchain/openai@npm:0.1.3"
-  dependencies:
-    "@langchain/core": ">=0.2.5 <0.3.0"
-    js-tiktoken: ^1.0.12
-    openai: ^4.49.1
-    zod: ^3.22.4
-    zod-to-json-schema: ^3.22.3
-  checksum: 43aaafad2e1416bc23846c6c5084502025d3972c0b11b2ef2bcefd9da3dc1cd933cdf838c596404584af024adccc26e34476fededed0e614a19b47a4e5a8c8e5
-  languageName: node
-  linkType: hard
-
 "@langchain/pinecone@workspace:*, @langchain/pinecone@workspace:libs/langchain-pinecone":
   version: 0.0.0-use.local
   resolution: "@langchain/pinecone@workspace:libs/langchain-pinecone"
@@ -19563,13 +19531,6 @@ __metadata:
   languageName: node
   linkType: hard
 
-"@types/uuid@npm:^9.0.1":
-  version: 9.0.2
-  resolution: "@types/uuid@npm:9.0.2"
-  checksum: 1754bcf3444e1e3aeadd6e774fc328eb53bc956665e2e8fb6ec127aa8e1f43d9a224c3d22a9a6233dca8dd81a12dc7fed4d84b8876dd5ec82d40f574f7ff8b68
-  languageName: node
-  linkType: hard
-
 "@types/validate-npm-package-name@npm:3.0.0":
   version: 3.0.0
   resolution: "@types/validate-npm-package-name@npm:3.0.0"
@@ -27165,7 +27126,7 @@ __metadata:
     "@langchain/google-vertexai": "workspace:*"
     "@langchain/google-vertexai-web": "workspace:*"
     "@langchain/groq": "workspace:*"
-    "@langchain/langgraph": ^0.0.28
+    "@langchain/langgraph": ^0.2.3
     "@langchain/mistralai": "workspace:*"
     "@langchain/mongodb": "workspace:*"
     "@langchain/nomic": "workspace:*"
@@ -27219,7 +27180,7 @@ __metadata:
     ioredis: ^5.3.2
     js-yaml: ^4.1.0
     langchain: "workspace:*"
-    langsmith: ^0.1.43
+    langsmith: ^0.1.56
     mongodb: ^6.3.0
     pg: ^8.11.0
     pickleparser: ^0.2.1
@@ -32679,7 +32640,7 @@ __metadata:
     js-tiktoken: ^1.0.12
     js-yaml: ^4.1.0
     jsonpointer: ^5.0.1
-    langsmith: ^0.1.56-rc.1
+    langsmith: ^0.1.56
     openai: ^4.41.1
     openapi-types: ^12.1.3
     p-retry: 4
@@ -32758,34 +32719,9 @@ __metadata:
   languageName: unknown
   linkType: soft
 
-"langsmith@npm:^0.1.43":
-  version: 0.1.43
-  resolution: "langsmith@npm:0.1.43"
-  dependencies:
-    "@types/uuid": ^9.0.1
-    commander: ^10.0.1
-    p-queue: ^6.6.2
-    p-retry: 4
-    semver: ^7.6.3
-    uuid: ^9.0.0
-  peerDependencies:
-    "@langchain/core": "*"
-    langchain: "*"
-    openai: "*"
-  peerDependenciesMeta:
-    "@langchain/core":
-      optional: true
-    langchain:
-      optional: true
-    openai:
-      optional: true
-  checksum: 83ded542eb9a4f3c7f75671ba9a85b9bb0558251cbc5ad506098068b7c5abcb6062101857cd5e2b324d5eb1e3f4984aff0d08b7b913c3ad6e41d4cbc65492a13
-  languageName: node
-  linkType: hard
-
-"langsmith@npm:^0.1.56-rc.1":
-  version: 0.1.56-rc.1
-  resolution: "langsmith@npm:0.1.56-rc.1"
+"langsmith@npm:^0.1.56, langsmith@npm:~0.1.56":
+  version: 0.1.56
+  resolution: "langsmith@npm:0.1.56"
   dependencies:
     "@types/uuid": ^10.0.0
     commander: ^10.0.1
@@ -32798,31 +32734,7 @@ __metadata:
   peerDependenciesMeta:
     openai:
       optional: true
-  checksum: 6d144958641bc7bca97b1fd0031fe9214d0e524e758d4a2efb0f34254de218bcfd4354ac71bed7b7d96893063f90a9db7103a6c921448519b1ab7a2200a1506f
-  languageName: node
-  linkType: hard
-
-"langsmith@npm:~0.1.30":
-  version: 0.1.39
-  resolution: "langsmith@npm:0.1.39"
-  dependencies:
-    "@types/uuid": ^9.0.1
-    commander: ^10.0.1
-    p-queue: ^6.6.2
-    p-retry: 4
-    uuid: ^9.0.0
-  peerDependencies:
-    "@langchain/core": "*"
-    langchain: "*"
-    openai: "*"
-  peerDependenciesMeta:
-    "@langchain/core":
-      optional: true
-    langchain:
-      optional: true
-    openai:
-      optional: true
-  checksum: df21332662ec3a2d2d5cf915acede52b96aedf2a286259435d683f230af5926500b129cab1f0275450e0d3de6d9d8476e410ac46f5e994beb43f2e2df8a1965f
+  checksum: 61db6dc3016e35d14d25e78a8ecebcc6356f2efc00310f5582dce9d28a88377525425622d1b98f053e73c0b3233d44c5a2f9d5654ca72ee2e61163edd5be2d28
   languageName: node
   linkType: hard
 
@@ -35450,24 +35362,6 @@ __metadata:
   languageName: node
   linkType: hard
 
-"openai@npm:^4.49.1":
-  version: 4.49.1
-  resolution: "openai@npm:4.49.1"
-  dependencies:
-    "@types/node": ^18.11.18
-    "@types/node-fetch": ^2.6.4
-    abort-controller: ^3.0.0
-    agentkeepalive: ^4.2.1
-    form-data-encoder: 1.7.2
-    formdata-node: ^4.3.2
-    node-fetch: ^2.6.7
-    web-streams-polyfill: ^3.2.1
-  bin:
-    openai: bin/cli
-  checksum: b9bc845d25412d6b6ad827fb1363a4029935d8eb85a8708e55f5cf2852a0551b8720c8099edcbb0a2c2ab2be2d8f652a97061d9898b908e29d9bb2f727304b6e
-  languageName: node
-  linkType: hard
-
 "openai@npm:^4.57.3":
   version: 4.57.3
   resolution: "openai@npm:4.57.3"

From 2fa96554ea56ef825229f2f48d9a097f299b0e37 Mon Sep 17 00:00:00 2001
From: Lab Rat <35325046+rootCircle@users.noreply.github.com>
Date: Tue, 17 Sep 2024 00:01:23 +0000
Subject: [PATCH 215/344] deps: update @anthropic-ai/sdk to 0.27.3 from 0.25.2
 (#6796)

Co-authored-by: jacoblee93 <jacoblee93@gmail.com>
---
 libs/langchain-anthropic/package.json       |  2 +-
 libs/langchain-anthropic/src/chat_models.ts |  2 ++
 yarn.lock                                   | 10 +++++-----
 3 files changed, 8 insertions(+), 6 deletions(-)

diff --git a/libs/langchain-anthropic/package.json b/libs/langchain-anthropic/package.json
index 1d8a25bb9bce..653a1aa3db63 100644
--- a/libs/langchain-anthropic/package.json
+++ b/libs/langchain-anthropic/package.json
@@ -35,7 +35,7 @@
   "author": "LangChain",
   "license": "MIT",
   "dependencies": {
-    "@anthropic-ai/sdk": "^0.25.2",
+    "@anthropic-ai/sdk": "^0.27.3",
     "fast-xml-parser": "^4.4.1",
     "zod": "^3.22.4",
     "zod-to-json-schema": "^3.22.4"
diff --git a/libs/langchain-anthropic/src/chat_models.ts b/libs/langchain-anthropic/src/chat_models.ts
index 1e8853ff5b8a..3ae88586d079 100644
--- a/libs/langchain-anthropic/src/chat_models.ts
+++ b/libs/langchain-anthropic/src/chat_models.ts
@@ -923,6 +923,7 @@ export class ChatAnthropicMessages<
     if (!this.streamingClient) {
       const options_ = this.apiUrl ? { baseURL: this.apiUrl } : undefined;
       this.streamingClient = this.createClient({
+        dangerouslyAllowBrowser: true,
         ...this.clientOptions,
         ...options_,
         apiKey: this.apiKey,
@@ -950,6 +951,7 @@ export class ChatAnthropicMessages<
     if (!this.batchClient) {
       const options = this.apiUrl ? { baseURL: this.apiUrl } : undefined;
       this.batchClient = this.createClient({
+        dangerouslyAllowBrowser: true,
         ...this.clientOptions,
         ...options,
         apiKey: this.apiKey,
diff --git a/yarn.lock b/yarn.lock
index 0be8a8815eec..73409a92fe5f 100644
--- a/yarn.lock
+++ b/yarn.lock
@@ -226,9 +226,9 @@ __metadata:
   languageName: node
   linkType: hard
 
-"@anthropic-ai/sdk@npm:^0.25.2":
-  version: 0.25.2
-  resolution: "@anthropic-ai/sdk@npm:0.25.2"
+"@anthropic-ai/sdk@npm:^0.27.3":
+  version: 0.27.3
+  resolution: "@anthropic-ai/sdk@npm:0.27.3"
   dependencies:
     "@types/node": ^18.11.18
     "@types/node-fetch": ^2.6.4
@@ -237,7 +237,7 @@ __metadata:
     form-data-encoder: 1.7.2
     formdata-node: ^4.3.2
     node-fetch: ^2.6.7
-  checksum: b38f6a43f6f678e49f1b53226cc55654c23cf0fd1902cf3fcf98c0ae78f4c229518964f4cb31bc39da41925c806e7f4cc7ec14c511d387f07db3136b111bc744
+  checksum: 8000fc5a4e545057d8711f978a0de59c9a174398a81f700c9d279213790aaa4b2c100f96f2ef79447b8f1f3a04b8f094d60db66a06df8df96b31a3240d69cb5a
   languageName: node
   linkType: hard
 
@@ -11116,7 +11116,7 @@ __metadata:
   version: 0.0.0-use.local
   resolution: "@langchain/anthropic@workspace:libs/langchain-anthropic"
   dependencies:
-    "@anthropic-ai/sdk": ^0.25.2
+    "@anthropic-ai/sdk": ^0.27.3
     "@anthropic-ai/vertex-sdk": ^0.4.1
     "@jest/globals": ^29.5.0
     "@langchain/core": "workspace:*"

From 7a56ccd07ec2ddc2e4e7a5167f8b5cea1207d068 Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Mon, 16 Sep 2024 17:04:15 -0700
Subject: [PATCH 216/344] chore(anthropic): Release 0.3.1 (#6826)

---
 libs/langchain-anthropic/package.json | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/libs/langchain-anthropic/package.json b/libs/langchain-anthropic/package.json
index 653a1aa3db63..8bfd9754abf4 100644
--- a/libs/langchain-anthropic/package.json
+++ b/libs/langchain-anthropic/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/anthropic",
-  "version": "0.3.0",
+  "version": "0.3.1",
   "description": "Anthropic integrations for LangChain.js",
   "type": "module",
   "engines": {

From 053e46a02cbdd1f4aa909a0ecc2d2f73c183953c Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Mon, 16 Sep 2024 19:35:19 -0700
Subject: [PATCH 217/344] docs: Adds warnings to cypher chain about credentials
 (#6827)

---
 docs/core_docs/docs/how_to/graph_prompting.ipynb  | 15 ++++++++++++++-
 docs/core_docs/docs/how_to/graph_semantic.ipynb   | 15 ++++++++++++++-
 docs/core_docs/docs/tutorials/graph.ipynb         | 14 +++++++++++++-
 langchain/src/chains/graph_qa/cypher.ts           | 14 ++++++++++++++
 .../src/chains/graph_qa/cypher.ts                 | 14 ++++++++++++++
 5 files changed, 69 insertions(+), 3 deletions(-)

diff --git a/docs/core_docs/docs/how_to/graph_prompting.ipynb b/docs/core_docs/docs/how_to/graph_prompting.ipynb
index 69024e9488b6..03ae3c0de203 100644
--- a/docs/core_docs/docs/how_to/graph_prompting.ipynb
+++ b/docs/core_docs/docs/how_to/graph_prompting.ipynb
@@ -6,7 +6,20 @@
       "source": [
         "# How to improve results with prompting\n",
         "\n",
-        "In this guide we’ll go over prompting strategies to improve graph database query generation. We’ll largely focus on methods for getting relevant database-specific information in your prompt."
+        "In this guide we’ll go over prompting strategies to improve graph database query generation. We’ll largely focus on methods for getting relevant database-specific information in your prompt.\n",
+        "\n",
+        "```{=mdx}\n",
+        ":::warning\n",
+        "\n",
+        "The `GraphCypherQAChain` used in this guide will execute Cypher statements against the provided database.\n",
+        "For production, make sure that the database connection uses credentials that are narrowly-scoped to only include necessary permissions.\n",
+        "\n",
+        "Failure to do so may result in data corruption or loss, since the calling code\n",
+        "may attempt commands that would result in deletion, mutation of data\n",
+        "if appropriately prompted or reading sensitive data if such data is present in the database.\n",
+        "\n",
+        ":::\n",
+        "```"
       ]
     },
     {
diff --git a/docs/core_docs/docs/how_to/graph_semantic.ipynb b/docs/core_docs/docs/how_to/graph_semantic.ipynb
index 342f342a7731..8cf963e32632 100644
--- a/docs/core_docs/docs/how_to/graph_semantic.ipynb
+++ b/docs/core_docs/docs/how_to/graph_semantic.ipynb
@@ -12,7 +12,20 @@
         "While that option provides excellent flexibility, the solution could be brittle and not consistently generating precise Cypher statements.\n",
         "Instead of generating Cypher statements, we can implement Cypher templates as tools in a semantic layer that an LLM agent can interact with.\n",
         "\n",
-        "![graph_semantic.png](../../static/img/graph_semantic.png)"
+        "![graph_semantic.png](../../static/img/graph_semantic.png)\n",
+        "\n",
+        "```{=mdx}\n",
+        ":::warning\n",
+        "\n",
+        "The code in this guide will execute Cypher statements against the provided database.\n",
+        "For production, make sure that the database connection uses credentials that are narrowly-scoped to only include necessary permissions.\n",
+        "\n",
+        "Failure to do so may result in data corruption or loss, since the calling code\n",
+        "may attempt commands that would result in deletion, mutation of data\n",
+        "if appropriately prompted or reading sensitive data if such data is present in the database.\n",
+        "\n",
+        ":::\n",
+        "```"
       ]
     },
     {
diff --git a/docs/core_docs/docs/tutorials/graph.ipynb b/docs/core_docs/docs/tutorials/graph.ipynb
index b7fc6a76b6d6..0d8ab1ba18ad 100644
--- a/docs/core_docs/docs/tutorials/graph.ipynb
+++ b/docs/core_docs/docs/tutorials/graph.ipynb
@@ -181,8 +181,20 @@
         "\n",
         "![graph_chain.webp](../../static/img/graph_chain.webp)\n",
         "\n",
+        "LangChain comes with a built-in chain for this workflow that is designed to work with Neo4j: `GraphCypherQAChain`.\n",
         "\n",
-        "LangChain comes with a built-in chain for this workflow that is designed to work with Neo4j: [GraphCypherQAChain](https://python.langchain.com/docs/use_cases/graph/graph_cypher_qa)"
+        "```{=mdx}\n",
+        ":::warning\n",
+        "\n",
+        "The `GraphCypherQAChain` used in this guide will execute Cypher statements against the provided database.\n",
+        "For production, make sure that the database connection uses credentials that are narrowly-scoped to only include necessary permissions.\n",
+        "\n",
+        "Failure to do so may result in data corruption or loss, since the calling code\n",
+        "may attempt commands that would result in deletion, mutation of data\n",
+        "if appropriately prompted or reading sensitive data if such data is present in the database.\n",
+        "\n",
+        ":::\n",
+        "```"
       ]
     },
     {
diff --git a/langchain/src/chains/graph_qa/cypher.ts b/langchain/src/chains/graph_qa/cypher.ts
index 284c940798e6..c4f11a427b31 100644
--- a/langchain/src/chains/graph_qa/cypher.ts
+++ b/langchain/src/chains/graph_qa/cypher.ts
@@ -39,6 +39,8 @@ export interface FromLLMInput {
 }
 
 /**
+ * Chain for question-answering against a graph by generating Cypher statements.
+ *
  * @example
  * ```typescript
  * const chain = new GraphCypherQAChain({
@@ -47,6 +49,18 @@ export interface FromLLMInput {
  * });
  * const res = await chain.invoke("Who played in Pulp Fiction?");
  * ```
+ *
+ * @security
+ * This chain will execute Cypher statements against the provided database.
+ * Make sure that the database connection uses credentials
+ * that are narrowly-scoped to only include necessary permissions.
+ * Failure to do so may result in data corruption or loss, since the calling code
+ * may attempt commands that would result in deletion, mutation of data
+ * if appropriately prompted or reading sensitive data if such data is present in the database.
+ * The best way to guard against such negative outcomes is to (as appropriate) limit the
+ * permissions granted to the credentials used with this tool.
+ *
+ * See https://js.langchain.com/docs/security for more information.
  */
 export class GraphCypherQAChain extends BaseChain {
   // eslint-disable-next-line @typescript-eslint/no-explicit-any
diff --git a/libs/langchain-community/src/chains/graph_qa/cypher.ts b/libs/langchain-community/src/chains/graph_qa/cypher.ts
index a36110c1e062..424905cddc46 100644
--- a/libs/langchain-community/src/chains/graph_qa/cypher.ts
+++ b/libs/langchain-community/src/chains/graph_qa/cypher.ts
@@ -31,6 +31,8 @@ export interface FromLLMInput {
 }
 
 /**
+ * Chain for question-answering against a graph by generating Cypher statements.
+ *
  * @example
  * ```typescript
  * const chain = new GraphCypherQAChain({
@@ -39,6 +41,18 @@ export interface FromLLMInput {
  * });
  * const res = await chain.invoke("Who played in Pulp Fiction?");
  * ```
+ *
+ * @security
+ * This chain will execute Cypher statements against the provided database.
+ * Make sure that the database connection uses credentials
+ * that are narrowly-scoped to only include necessary permissions.
+ * Failure to do so may result in data corruption or loss, since the calling code
+ * may attempt commands that would result in deletion, mutation of data
+ * if appropriately prompted or reading sensitive data if such data is present in the database.
+ * The best way to guard against such negative outcomes is to (as appropriate) limit the
+ * permissions granted to the credentials used with this tool.
+ *
+ * See https://js.langchain.com/docs/security for more information.
  */
 export class GraphCypherQAChain extends BaseChain {
   private graph: Neo4jGraph;

From 11e281bb87409acb20d4c6d9b808290f90b11082 Mon Sep 17 00:00:00 2001
From: Ayush Chaurasia <ayush.chaurarsia@gmail.com>
Date: Tue, 17 Sep 2024 08:07:21 +0530
Subject: [PATCH 218/344] feat(community): Remove required param from LanceDB
 integration (#6706)

Co-authored-by: jacoblee93 <jacoblee93@gmail.com>
---
 examples/package.json                         |   2 +-
 .../indexes/vector_stores/lancedb/fromDocs.ts |  27 ++--
 .../vector_stores/lancedb/fromTexts.ts        |  21 ++--
 libs/langchain-community/package.json         |   2 +-
 .../src/vectorstores/lancedb.ts               |  43 +++++--
 .../vectorstores/tests/lancedb.int.test.ts    |  24 ++++
 yarn.lock                                     | 117 +++++++++++-------
 7 files changed, 159 insertions(+), 77 deletions(-)

diff --git a/examples/package.json b/examples/package.json
index e20870dc08d7..ffe6a62dc799 100644
--- a/examples/package.json
+++ b/examples/package.json
@@ -102,7 +102,7 @@
     "typeorm": "^0.3.20",
     "typesense": "^1.5.3",
     "uuid": "^10.0.0",
-    "vectordb": "^0.1.4",
+    "vectordb": "^0.9.0",
     "voy-search": "0.6.2",
     "weaviate-ts-client": "^2.0.0",
     "zod": "^3.22.4",
diff --git a/examples/src/indexes/vector_stores/lancedb/fromDocs.ts b/examples/src/indexes/vector_stores/lancedb/fromDocs.ts
index 69715191321d..2907ccde6fc9 100644
--- a/examples/src/indexes/vector_stores/lancedb/fromDocs.ts
+++ b/examples/src/indexes/vector_stores/lancedb/fromDocs.ts
@@ -4,24 +4,29 @@ import { TextLoader } from "langchain/document_loaders/fs/text";
 import fs from "node:fs/promises";
 import path from "node:path";
 import os from "node:os";
-import { connect } from "vectordb";
 
 // Create docs with a loader
 const loader = new TextLoader("src/document_loaders/example_data/example.txt");
 const docs = await loader.load();
 
 export const run = async () => {
+  const vectorStore = await LanceDB.fromDocuments(docs, new OpenAIEmbeddings());
+
+  const resultOne = await vectorStore.similaritySearch("hello world", 1);
+  console.log(resultOne);
+
+  // [
+  //   Document {
+  //     pageContent: 'Foo\nBar\nBaz\n\n',
+  //     metadata: { source: 'src/document_loaders/example_data/example.txt' }
+  //   }
+  // ]
+};
+
+export const run_with_existing_table = async () => {
   const dir = await fs.mkdtemp(path.join(os.tmpdir(), "lancedb-"));
-  const db = await connect(dir);
-  const table = await db.createTable("vectors", [
-    { vector: Array(1536), text: "sample", source: "a" },
-  ]);
-
-  const vectorStore = await LanceDB.fromDocuments(
-    docs,
-    new OpenAIEmbeddings(),
-    { table }
-  );
+
+  const vectorStore = await LanceDB.fromDocuments(docs, new OpenAIEmbeddings());
 
   const resultOne = await vectorStore.similaritySearch("hello world", 1);
   console.log(resultOne);
diff --git a/examples/src/indexes/vector_stores/lancedb/fromTexts.ts b/examples/src/indexes/vector_stores/lancedb/fromTexts.ts
index 2f70f340d5ad..4156d1a161d2 100644
--- a/examples/src/indexes/vector_stores/lancedb/fromTexts.ts
+++ b/examples/src/indexes/vector_stores/lancedb/fromTexts.ts
@@ -1,22 +1,27 @@
 import { LanceDB } from "@langchain/community/vectorstores/lancedb";
 import { OpenAIEmbeddings } from "@langchain/openai";
-import { connect } from "vectordb";
 import * as fs from "node:fs/promises";
 import * as path from "node:path";
 import os from "node:os";
 
 export const run = async () => {
-  const dir = await fs.mkdtemp(path.join(os.tmpdir(), "lancedb-"));
-  const db = await connect(dir);
-  const table = await db.createTable("vectors", [
-    { vector: Array(1536), text: "sample", id: 1 },
-  ]);
+  const vectorStore = await LanceDB.fromTexts(
+    ["Hello world", "Bye bye", "hello nice world"],
+    [{ id: 2 }, { id: 1 }, { id: 3 }],
+    new OpenAIEmbeddings()
+  );
 
+  const resultOne = await vectorStore.similaritySearch("hello world", 1);
+  console.log(resultOne);
+  // [ Document { pageContent: 'hello nice world', metadata: { id: 3 } } ]
+};
+
+export const run_with_existing_table = async () => {
+  const dir = await fs.mkdtemp(path.join(os.tmpdir(), "lancedb-"));
   const vectorStore = await LanceDB.fromTexts(
     ["Hello world", "Bye bye", "hello nice world"],
     [{ id: 2 }, { id: 1 }, { id: 3 }],
-    new OpenAIEmbeddings(),
-    { table }
+    new OpenAIEmbeddings()
   );
 
   const resultOne = await vectorStore.similaritySearch("hello world", 1);
diff --git a/libs/langchain-community/package.json b/libs/langchain-community/package.json
index 389e6b303a1e..164bbf7e7e48 100644
--- a/libs/langchain-community/package.json
+++ b/libs/langchain-community/package.json
@@ -207,7 +207,7 @@
     "typescript": "~5.1.6",
     "typesense": "^1.5.3",
     "usearch": "^1.1.1",
-    "vectordb": "^0.1.4",
+    "vectordb": "^0.9.0",
     "voy-search": "0.6.2",
     "weaviate-ts-client": "^1.4.0",
     "web-auth-library": "^1.0.3",
diff --git a/libs/langchain-community/src/vectorstores/lancedb.ts b/libs/langchain-community/src/vectorstores/lancedb.ts
index def5a6d61cb4..7df73aac93e7 100644
--- a/libs/langchain-community/src/vectorstores/lancedb.ts
+++ b/libs/langchain-community/src/vectorstores/lancedb.ts
@@ -1,4 +1,4 @@
-import { Table } from "vectordb";
+import { connect, Table, Connection, WriteMode } from "vectordb";
 import type { EmbeddingsInterface } from "@langchain/core/embeddings";
 import { VectorStore } from "@langchain/core/vectorstores";
 import { Document } from "@langchain/core/documents";
@@ -8,8 +8,11 @@ import { Document } from "@langchain/core/documents";
  * table and an optional textKey.
  */
 export type LanceDBArgs = {
-  table: Table;
+  table?: Table;
   textKey?: string;
+  uri?: string;
+  tableName?: string;
+  mode?: WriteMode;
 };
 
 /**
@@ -18,15 +21,24 @@ export type LanceDBArgs = {
  * embeddings.
  */
 export class LanceDB extends VectorStore {
-  private table: Table;
+  private table?: Table;
 
   private textKey: string;
 
-  constructor(embeddings: EmbeddingsInterface, args: LanceDBArgs) {
-    super(embeddings, args);
-    this.table = args.table;
+  private uri: string;
+
+  private tableName: string;
+
+  private mode?: WriteMode;
+
+  constructor(embeddings: EmbeddingsInterface, args?: LanceDBArgs) {
+    super(embeddings, args || {});
+    this.table = args?.table;
     this.embeddings = embeddings;
-    this.textKey = args.textKey || "text";
+    this.textKey = args?.textKey || "text";
+    this.uri = args?.uri || "~/lancedb";
+    this.tableName = args?.tableName || "langchain";
+    this.mode = args?.mode || WriteMode.Overwrite;
   }
 
   /**
@@ -71,6 +83,14 @@ export class LanceDB extends VectorStore {
       });
       data.push(record);
     }
+    if (!this.table) {
+      const db: Connection = await connect(this.uri);
+      this.table = await db.createTable(this.tableName, data, {
+        writeMode: this.mode,
+      });
+
+      return;
+    }
     await this.table.add(data);
   }
 
@@ -85,6 +105,11 @@ export class LanceDB extends VectorStore {
     query: number[],
     k: number
   ): Promise<[Document, number][]> {
+    if (!this.table) {
+      throw new Error(
+        "Table not found. Please add vectors to the table first."
+      );
+    }
     const results = await this.table.search(query).limit(k).execute();
 
     const docsAndScore: [Document, number][] = [];
@@ -119,7 +144,7 @@ export class LanceDB extends VectorStore {
     texts: string[],
     metadatas: object[] | object,
     embeddings: EmbeddingsInterface,
-    dbConfig: LanceDBArgs
+    dbConfig?: LanceDBArgs
   ): Promise<LanceDB> {
     const docs: Document[] = [];
     for (let i = 0; i < texts.length; i += 1) {
@@ -143,7 +168,7 @@ export class LanceDB extends VectorStore {
   static async fromDocuments(
     docs: Document[],
     embeddings: EmbeddingsInterface,
-    dbConfig: LanceDBArgs
+    dbConfig?: LanceDBArgs
   ): Promise<LanceDB> {
     const instance = new this(embeddings, dbConfig);
     await instance.addDocuments(docs);
diff --git a/libs/langchain-community/src/vectorstores/tests/lancedb.int.test.ts b/libs/langchain-community/src/vectorstores/tests/lancedb.int.test.ts
index ec9bb2bb566e..3d561c903440 100644
--- a/libs/langchain-community/src/vectorstores/tests/lancedb.int.test.ts
+++ b/libs/langchain-community/src/vectorstores/tests/lancedb.int.test.ts
@@ -45,3 +45,27 @@ describe("LanceDB", () => {
     expect(resultsTwo.length).toBe(5);
   });
 });
+
+describe("LanceDB empty schema", () => {
+  test("Test fromTexts + addDocuments", async () => {
+    const embeddings = new OpenAIEmbeddings();
+    const vectorStore = await LanceDB.fromTexts(
+      ["hello bye", "hello world", "bye bye"],
+      [{ id: 1 }, { id: 2 }, { id: 3 }],
+      embeddings
+    );
+
+    const results = await vectorStore.similaritySearch("hello bye", 10);
+    expect(results.length).toBe(3);
+
+    await vectorStore.addDocuments([
+      new Document({
+        pageContent: "a new world",
+        metadata: { id: 4 },
+      }),
+    ]);
+
+    const resultsTwo = await vectorStore.similaritySearch("hello bye", 10);
+    expect(resultsTwo.length).toBe(4);
+  });
+});
diff --git a/yarn.lock b/yarn.lock
index 73409a92fe5f..0f4f4bdee091 100644
--- a/yarn.lock
+++ b/yarn.lock
@@ -251,24 +251,6 @@ __metadata:
   languageName: node
   linkType: hard
 
-"@apache-arrow/ts@npm:^12.0.0":
-  version: 12.0.0
-  resolution: "@apache-arrow/ts@npm:12.0.0"
-  dependencies:
-    "@types/command-line-args": 5.2.0
-    "@types/command-line-usage": 5.0.2
-    "@types/node": 18.14.5
-    "@types/pad-left": 2.1.1
-    command-line-args: 5.2.1
-    command-line-usage: 6.1.3
-    flatbuffers: 23.3.3
-    json-bignum: ^0.0.3
-    pad-left: ^2.1.0
-    tslib: ^2.5.0
-  checksum: 67b2791e14d5377b1d160a0d8390decc386e013c517713f8b9c100737a0e478a394086d91a8c846848d4e30289070a119d8e65191998f4c2555b18a29564df50
-  languageName: node
-  linkType: hard
-
 "@apify/consts@npm:^2.13.0, @apify/consts@npm:^2.9.0":
   version: 2.13.0
   resolution: "@apify/consts@npm:2.13.0"
@@ -11112,6 +11094,41 @@ __metadata:
   languageName: node
   linkType: hard
 
+"@lancedb/vectordb-darwin-arm64@npm:0.4.20":
+  version: 0.4.20
+  resolution: "@lancedb/vectordb-darwin-arm64@npm:0.4.20"
+  conditions: os=darwin & cpu=arm64
+  languageName: node
+  linkType: hard
+
+"@lancedb/vectordb-darwin-x64@npm:0.4.20":
+  version: 0.4.20
+  resolution: "@lancedb/vectordb-darwin-x64@npm:0.4.20"
+  conditions: os=darwin & cpu=x64
+  languageName: node
+  linkType: hard
+
+"@lancedb/vectordb-linux-arm64-gnu@npm:0.4.20":
+  version: 0.4.20
+  resolution: "@lancedb/vectordb-linux-arm64-gnu@npm:0.4.20"
+  conditions: os=linux & cpu=arm64
+  languageName: node
+  linkType: hard
+
+"@lancedb/vectordb-linux-x64-gnu@npm:0.4.20":
+  version: 0.4.20
+  resolution: "@lancedb/vectordb-linux-x64-gnu@npm:0.4.20"
+  conditions: os=linux & cpu=x64
+  languageName: node
+  linkType: hard
+
+"@lancedb/vectordb-win32-x64-msvc@npm:0.4.20":
+  version: 0.4.20
+  resolution: "@lancedb/vectordb-win32-x64-msvc@npm:0.4.20"
+  conditions: os=win32 & cpu=x64
+  languageName: node
+  linkType: hard
+
 "@langchain/anthropic@*, @langchain/anthropic@workspace:*, @langchain/anthropic@workspace:libs/langchain-anthropic":
   version: 0.0.0-use.local
   resolution: "@langchain/anthropic@workspace:libs/langchain-anthropic"
@@ -11577,7 +11594,7 @@ __metadata:
     typesense: ^1.5.3
     usearch: ^1.1.1
     uuid: ^10.0.0
-    vectordb: ^0.1.4
+    vectordb: ^0.9.0
     voy-search: 0.6.2
     weaviate-ts-client: ^1.4.0
     web-auth-library: ^1.0.3
@@ -13100,6 +13117,13 @@ __metadata:
   languageName: node
   linkType: hard
 
+"@neon-rs/load@npm:^0.0.74":
+  version: 0.0.74
+  resolution: "@neon-rs/load@npm:0.0.74"
+  checksum: d26ec9b08cdf1a7c5aeefe98f77112d205d11b4005a7934b21fe8fd27528847e08e4749e7e6c3fc05ae9f701175a58c11a095ae6af449634df3991a2c82e1dfa
+  languageName: node
+  linkType: hard
+
 "@neondatabase/serverless@npm:0.6.0":
   version: 0.6.0
   resolution: "@neondatabase/serverless@npm:0.6.0"
@@ -20835,26 +20859,6 @@ __metadata:
   languageName: node
   linkType: hard
 
-"apache-arrow@npm:^12.0.0":
-  version: 12.0.0
-  resolution: "apache-arrow@npm:12.0.0"
-  dependencies:
-    "@types/command-line-args": 5.2.0
-    "@types/command-line-usage": 5.0.2
-    "@types/node": 18.14.5
-    "@types/pad-left": 2.1.1
-    command-line-args: 5.2.1
-    command-line-usage: 6.1.3
-    flatbuffers: 23.3.3
-    json-bignum: ^0.0.3
-    pad-left: ^2.1.0
-    tslib: ^2.5.0
-  bin:
-    arrow2csv: bin/arrow2csv.js
-  checksum: 3285189517c2b298cda42852321ce127754918513116eade6e4914c57983f68b6ba96605cfaa2202796d3d6e14755d3b3758f76c1374492affa3d95714eaca40
-  languageName: node
-  linkType: hard
-
 "apache-arrow@npm:^12.0.1":
   version: 12.0.1
   resolution: "apache-arrow@npm:12.0.1"
@@ -27194,7 +27198,7 @@ __metadata:
     typescript: ~5.1.6
     typesense: ^1.5.3
     uuid: ^10.0.0
-    vectordb: ^0.1.4
+    vectordb: ^0.9.0
     voy-search: 0.6.2
     weaviate-ts-client: ^2.0.0
     zod: ^3.22.4
@@ -42505,13 +42509,32 @@ __metadata:
   languageName: node
   linkType: hard
 
-"vectordb@npm:^0.1.4":
-  version: 0.1.4
-  resolution: "vectordb@npm:0.1.4"
-  dependencies:
-    "@apache-arrow/ts": ^12.0.0
-    apache-arrow: ^12.0.0
-  checksum: 8a40abf4466479b0b9e61687416b5ab232458401917bf9a1d5f3d8ea8c8320ecc5691174f4d4c0cfef0bb6c16328a9088419fd90ac85fd7267dbccdd1f9e55d7
+"vectordb@npm:^0.9.0":
+  version: 0.9.0
+  resolution: "vectordb@npm:0.9.0"
+  dependencies:
+    "@lancedb/vectordb-darwin-arm64": 0.4.20
+    "@lancedb/vectordb-darwin-x64": 0.4.20
+    "@lancedb/vectordb-linux-arm64-gnu": 0.4.20
+    "@lancedb/vectordb-linux-x64-gnu": 0.4.20
+    "@lancedb/vectordb-win32-x64-msvc": 0.4.20
+    "@neon-rs/load": ^0.0.74
+    axios: ^1.4.0
+  peerDependencies:
+    "@apache-arrow/ts": ^14.0.2
+    apache-arrow: ^14.0.2
+  dependenciesMeta:
+    "@lancedb/vectordb-darwin-arm64":
+      optional: true
+    "@lancedb/vectordb-darwin-x64":
+      optional: true
+    "@lancedb/vectordb-linux-arm64-gnu":
+      optional: true
+    "@lancedb/vectordb-linux-x64-gnu":
+      optional: true
+    "@lancedb/vectordb-win32-x64-msvc":
+      optional: true
+  conditions: (os=darwin | os=linux | os=win32) & (cpu=x64 | cpu=arm64)
   languageName: node
   linkType: hard
 

From 818f0a55d98683a08a76c711e28e7ad3b40e9428 Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Mon, 16 Sep 2024 19:59:01 -0700
Subject: [PATCH 219/344] fix(ci): Fix lint (#6828)

---
 langchain/src/chat_models/universal.ts       | 1 +
 langchain/src/output_parsers/openai_tools.ts | 1 +
 2 files changed, 2 insertions(+)

diff --git a/langchain/src/chat_models/universal.ts b/langchain/src/chat_models/universal.ts
index eaa1ea821d31..2682f470cb6c 100644
--- a/langchain/src/chat_models/universal.ts
+++ b/langchain/src/chat_models/universal.ts
@@ -1,3 +1,4 @@
+/* eslint-disable import/no-extraneous-dependencies */
 import {
   BaseLanguageModelInput,
   ToolDefinition,
diff --git a/langchain/src/output_parsers/openai_tools.ts b/langchain/src/output_parsers/openai_tools.ts
index 4a9324fb1864..492bee21e310 100644
--- a/langchain/src/output_parsers/openai_tools.ts
+++ b/langchain/src/output_parsers/openai_tools.ts
@@ -106,6 +106,7 @@ export type JsonOutputKeyToolsParserParams = {
 /**
  * @deprecated Import from "@langchain/core/output_parsers/openai_tools"
  */
+// eslint-disable-next-line @typescript-eslint/no-explicit-any
 export class JsonOutputKeyToolsParser extends BaseLLMOutputParser<any> {
   static lc_name() {
     return "JsonOutputKeyToolsParser";

From f939b48e5b1807201f2aa66d2d3b321f0de3f769 Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Mon, 16 Sep 2024 22:24:49 -0700
Subject: [PATCH 220/344] chore(community): Release 0.3.1 (#6831)

---
 libs/langchain-community/package.json | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/libs/langchain-community/package.json b/libs/langchain-community/package.json
index 164bbf7e7e48..7b7df3823367 100644
--- a/libs/langchain-community/package.json
+++ b/libs/langchain-community/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/community",
-  "version": "0.3.0",
+  "version": "0.3.1",
   "description": "Third-party integrations for LangChain.js",
   "type": "module",
   "engines": {

From c7c47ca9e499541a3a1f989d29c5b70dd9a1e049 Mon Sep 17 00:00:00 2001
From: Brace Sproul <braceasproul@gmail.com>
Date: Tue, 17 Sep 2024 12:46:44 -0700
Subject: [PATCH 221/344] fix(ci): Update API ref deployment action &
 vercelignore (#6835)

---
 .github/workflows/deploy-api-refs-prod.yml | 9 ++-------
 .vercelignore                              | 4 +++-
 2 files changed, 5 insertions(+), 8 deletions(-)

diff --git a/.github/workflows/deploy-api-refs-prod.yml b/.github/workflows/deploy-api-refs-prod.yml
index fb3131eccd96..76bd3eb8a84f 100644
--- a/.github/workflows/deploy-api-refs-prod.yml
+++ b/.github/workflows/deploy-api-refs-prod.yml
@@ -3,7 +3,7 @@ name: Deploy API Refs Prod
 on:
   workflow_dispatch:  # Allows triggering the workflow manually in GitHub UI
   push:
-    branches: ["main"]
+    branches: ["main", "v0.2"]
 
 # If another push to the same PR or branch happens while this workflow is still running,
 # cancel the earlier run in favor of the next run.
@@ -36,9 +36,4 @@ jobs:
       - name: Build Project Artifacts
         run: vercel build --prod --token=${{ secrets.VERCEL_TOKEN }}
       - name: Deploy to Vercel
-        run: |
-          if [ ${{ github.ref }} = 'refs/heads/main' ]; then
-            vercel deploy --prod --token=${{ secrets.VERCEL_TOKEN }}
-          else
-            vercel deploy --token=${{ secrets.VERCEL_TOKEN }}
-          fi
\ No newline at end of file
+        run: vercel deploy --prod --prebuilt --token=${{ secrets.VERCEL_TOKEN }}
diff --git a/.vercelignore b/.vercelignore
index c5b1e3f4798d..b4990557b566 100644
--- a/.vercelignore
+++ b/.vercelignore
@@ -1,2 +1,4 @@
 node_modules/
-**/node_modules/
\ No newline at end of file
+**/node_modules/
+.next/
+**/.next/

From e6f84ebd9051b307e922f5919e434bea6b448760 Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Tue, 17 Sep 2024 14:14:59 -0700
Subject: [PATCH 222/344] fix(core): Fix nested stream events behavior (#6836)

---
 langchain-core/src/runnables/base.ts          |  4 +-
 .../tests/runnable_stream_events_v2.test.ts   | 71 ++++++++++++++++++-
 langchain-core/src/tracers/event_stream.ts    |  2 +-
 3 files changed, 73 insertions(+), 4 deletions(-)

diff --git a/langchain-core/src/runnables/base.ts b/langchain-core/src/runnables/base.ts
index 9caa530d699c..59e428b1cb88 100644
--- a/langchain-core/src/runnables/base.ts
+++ b/langchain-core/src/runnables/base.ts
@@ -695,7 +695,7 @@ export abstract class Runnable<
       config.callbacks = callbacks.concat([logStreamCallbackHandler]);
     } else {
       const copiedCallbacks = callbacks.copy();
-      copiedCallbacks.inheritableHandlers.push(logStreamCallbackHandler);
+      copiedCallbacks.addHandler(logStreamCallbackHandler, true);
       // eslint-disable-next-line no-param-reassign
       config.callbacks = copiedCallbacks;
     }
@@ -896,7 +896,7 @@ export abstract class Runnable<
       config.callbacks = callbacks.concat(eventStreamer);
     } else {
       const copiedCallbacks = callbacks.copy();
-      copiedCallbacks.inheritableHandlers.push(eventStreamer);
+      copiedCallbacks.addHandler(eventStreamer, true);
       // eslint-disable-next-line no-param-reassign
       config.callbacks = copiedCallbacks;
     }
diff --git a/langchain-core/src/runnables/tests/runnable_stream_events_v2.test.ts b/langchain-core/src/runnables/tests/runnable_stream_events_v2.test.ts
index 1702d226aa4b..2807b4935657 100644
--- a/langchain-core/src/runnables/tests/runnable_stream_events_v2.test.ts
+++ b/langchain-core/src/runnables/tests/runnable_stream_events_v2.test.ts
@@ -4,6 +4,7 @@
 
 import { test, expect, afterEach } from "@jest/globals";
 import { z } from "zod";
+import { AsyncLocalStorage } from "node:async_hooks";
 import {
   RunnableLambda,
   RunnableMap,
@@ -28,8 +29,9 @@ import { DynamicStructuredTool, DynamicTool, tool } from "../../tools/index.js";
 import { Document } from "../../documents/document.js";
 import { PromptTemplate } from "../../prompts/prompt.js";
 import { GenerationChunk } from "../../outputs.js";
-// Import from web to avoid side-effects from AsyncLocalStorage
+// Import from web to avoid top-level side-effects from AsyncLocalStorage
 import { dispatchCustomEvent } from "../../callbacks/dispatch/web.js";
+import { AsyncLocalStorageProviderSingleton } from "../../singletons/index.js";
 
 function reverse(s: string) {
   // Reverse a string.
@@ -138,6 +140,73 @@ test("Runnable streamEvents method on a chat model", async () => {
   ]);
 });
 
+test("Runnable streamEvents call nested in another runnable + passed callbacks should still work", async () => {
+  AsyncLocalStorageProviderSingleton.initializeGlobalInstance(
+    new AsyncLocalStorage()
+  );
+
+  const model = new FakeListChatModel({
+    responses: ["abc"],
+  });
+
+  const events: any[] = [];
+  const container = RunnableLambda.from(async (_) => {
+    const eventStream = model.streamEvents("hello", { version: "v2" });
+    for await (const event of eventStream) {
+      events.push(event);
+    }
+    return events;
+  });
+
+  await container.invoke({}, { callbacks: [{ handleLLMStart: () => {} }] });
+
+  // used here to avoid casting every ID
+  const anyString = expect.any(String) as unknown as string;
+
+  expect(events).toMatchObject([
+    {
+      data: { input: "hello" },
+      event: "on_chat_model_start",
+      name: "FakeListChatModel",
+      metadata: expect.any(Object),
+      run_id: expect.any(String),
+      tags: [],
+    },
+    {
+      data: { chunk: new AIMessageChunk({ id: anyString, content: "a" }) },
+      event: "on_chat_model_stream",
+      name: "FakeListChatModel",
+      metadata: expect.any(Object),
+      run_id: expect.any(String),
+      tags: [],
+    },
+    {
+      data: { chunk: new AIMessageChunk({ id: anyString, content: "b" }) },
+      event: "on_chat_model_stream",
+      name: "FakeListChatModel",
+      metadata: expect.any(Object),
+      run_id: expect.any(String),
+      tags: [],
+    },
+    {
+      data: { chunk: new AIMessageChunk({ id: anyString, content: "c" }) },
+      event: "on_chat_model_stream",
+      name: "FakeListChatModel",
+      metadata: expect.any(Object),
+      run_id: expect.any(String),
+      tags: [],
+    },
+    {
+      data: { output: new AIMessageChunk({ id: anyString, content: "abc" }) },
+      event: "on_chat_model_end",
+      name: "FakeListChatModel",
+      metadata: expect.any(Object),
+      run_id: expect.any(String),
+      tags: [],
+    },
+  ]);
+});
+
 test("Runnable streamEvents method with three runnables", async () => {
   const r = RunnableLambda.from(reverse);
 
diff --git a/langchain-core/src/tracers/event_stream.ts b/langchain-core/src/tracers/event_stream.ts
index 015faa20e5c8..3972e7ce9b4b 100644
--- a/langchain-core/src/tracers/event_stream.ts
+++ b/langchain-core/src/tracers/event_stream.ts
@@ -364,7 +364,7 @@ export class EventStreamCallbackHandler extends BaseTracer {
       throw new Error(`onLLMNewToken: Run ID ${run.id} not found in run map.`);
     }
     // Top-level streaming events are covered by tapOutputIterable
-    if (run.parent_run_id === undefined) {
+    if (this.runInfoMap.size === 1) {
       return;
     }
     if (runInfo.runType === "chat_model") {

From 1fc8e079cc54fd52ddf87adcf45c01cc0f8526b4 Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Tue, 17 Sep 2024 14:27:01 -0700
Subject: [PATCH 223/344] chore(core): Release 0.3.2 (#6839)

---
 langchain-core/package.json | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/langchain-core/package.json b/langchain-core/package.json
index 530bc1324495..ebcffad0cf15 100644
--- a/langchain-core/package.json
+++ b/langchain-core/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/core",
-  "version": "0.3.1",
+  "version": "0.3.2",
   "description": "Core LangChain.js abstractions and schemas",
   "type": "module",
   "engines": {

From dde5d737f88e643e20b00da88cc5530189b2a4ea Mon Sep 17 00:00:00 2001
From: Brace Sproul <braceasproul@gmail.com>
Date: Tue, 17 Sep 2024 15:04:02 -0700
Subject: [PATCH 224/344] fix(ci): Add script for aliasing domains in gh
 deployments (#6838)

---
 .github/scripts/deployDomainVercel.sh      | 30 ++++++++++++++++++++++
 .github/workflows/deploy-api-refs-prod.yml | 19 ++++++++++++--
 2 files changed, 47 insertions(+), 2 deletions(-)
 create mode 100644 .github/scripts/deployDomainVercel.sh

diff --git a/.github/scripts/deployDomainVercel.sh b/.github/scripts/deployDomainVercel.sh
new file mode 100644
index 000000000000..f27bb803c8b6
--- /dev/null
+++ b/.github/scripts/deployDomainVercel.sh
@@ -0,0 +1,30 @@
+#!/bin/bash
+
+# Check if an argument is provided
+if [ $# -eq 0 ]; then
+    echo "Error: Please provide a version string as an argument."
+    exit 1
+fi
+
+inputString=$1
+
+# Check if VERCEL_TOKEN is set
+if [ -z "$VERCEL_TOKEN" ]; then
+    echo "Error: VERCEL_TOKEN is not set."
+    exit 1
+fi
+
+# save stdout and stderr to files
+vercel deploy --prebuilt --token="$VERCEL_TOKEN" >deployment-url.txt 2>error.txt
+
+# check the exit code
+code=$?
+if [ $code -eq 0 ]; then
+    # Set the deploymentUrl using the input string
+    deploymentUrl="${inputString}.api.js.langchain.com"
+    vercel alias $(cat deployment-url.txt) $deploymentUrl --token="$VERCEL_TOKEN" --scope="langchain"
+else
+    # Handle the error
+    errorMessage=$(cat error.txt)
+    echo "There was an error: $errorMessage"
+fi
\ No newline at end of file
diff --git a/.github/workflows/deploy-api-refs-prod.yml b/.github/workflows/deploy-api-refs-prod.yml
index 76bd3eb8a84f..5b4a0e4bcbd0 100644
--- a/.github/workflows/deploy-api-refs-prod.yml
+++ b/.github/workflows/deploy-api-refs-prod.yml
@@ -34,6 +34,21 @@ jobs:
       - name: Build All Projects
         run: yarn turbo:command build --filter=!examples --filter=!api_refs --filter=!core_docs --filter=!create-langchain-integration
       - name: Build Project Artifacts
-        run: vercel build --prod --token=${{ secrets.VERCEL_TOKEN }}
+        run: |
+          if [ ${{ github.ref }} = 'refs/heads/main' ]; then
+            vercel build --prod --token=${{ secrets.VERCEL_TOKEN }}
+          else
+            vercel build --token=${{ secrets.VERCEL_TOKEN }}
+          fi
       - name: Deploy to Vercel
-        run: vercel deploy --prod --prebuilt --token=${{ secrets.VERCEL_TOKEN }}
+        env:
+          VERCEL_TOKEN: ${{ secrets.VERCEL_TOKEN }}
+        run: |
+          if [ ${{ github.ref }} = 'refs/heads/main' ]; then
+            vercel deploy --prebuilt --prod --token=${{ secrets.VERCEL_TOKEN }}
+          elif [ ${{ github.ref }} = 'refs/heads/v0.2' ]; then
+            .github/scripts/deployDomainVercel.sh v02
+          else
+            echo "Error: Deployment is only allowed for 'main' or 'v0.2' branches."
+            exit 1
+          fi
\ No newline at end of file

From 10379e1d0f59f63a34d94db9201f04dd4cf5f559 Mon Sep 17 00:00:00 2001
From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com>
Date: Wed, 18 Sep 2024 09:52:23 -0700
Subject: [PATCH 225/344] chore(deps): bump the pip group across 1 directory
 with 2 updates (#6840)

Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
---
 .../vectorstores/tests/faiss.int.test.data/requirements.txt   | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/libs/langchain-community/src/vectorstores/tests/faiss.int.test.data/requirements.txt b/libs/langchain-community/src/vectorstores/tests/faiss.int.test.data/requirements.txt
index 2fc60ecb31ed..be1f7b791532 100644
--- a/libs/langchain-community/src/vectorstores/tests/faiss.int.test.data/requirements.txt
+++ b/libs/langchain-community/src/vectorstores/tests/faiss.int.test.data/requirements.txt
@@ -1,2 +1,2 @@
-langchain==0.1.0
-langchain-community==0.0.12
\ No newline at end of file
+langchain==0.2.10
+langchain-community==0.2.9
\ No newline at end of file

From 43192e4643c5f737781732dfd195d3cc5e79cfbe Mon Sep 17 00:00:00 2001
From: Herman Hrand <54174661+allohamora@users.noreply.github.com>
Date: Thu, 19 Sep 2024 00:13:36 +0300
Subject: [PATCH 226/344] fix(groq): Feature/groq response format improvements
 (#6754)

Co-authored-by: jacoblee93 <jacoblee93@gmail.com>
---
 .../docs/integrations/chat/groq.ipynb         | 56 +++++++++++++++++--
 libs/langchain-groq/src/chat_models.ts        |  3 +-
 2 files changed, 52 insertions(+), 7 deletions(-)

diff --git a/docs/core_docs/docs/integrations/chat/groq.ipynb b/docs/core_docs/docs/integrations/chat/groq.ipynb
index 4bdc2ea7f6f3..b6a58553ad3b 100644
--- a/docs/core_docs/docs/integrations/chat/groq.ipynb
+++ b/docs/core_docs/docs/integrations/chat/groq.ipynb
@@ -145,11 +145,11 @@
    ],
    "source": [
     "const aiMsg = await llm.invoke([\n",
-    "    [\n",
-    "        \"system\",\n",
-    "        \"You are a helpful assistant that translates English to French. Translate the user sentence.\",\n",
-    "    ],\n",
-    "    [\"human\", \"I love programming.\"],\n",
+    "    {\n",
+    "      role: \"system\",\n",
+    "      content: \"You are a helpful assistant that translates English to French. Translate the user sentence.\",\n",
+    "    },\n",
+    "    { role: \"user\", content: \"I love programming.\" },\n",
     "])\n",
     "aiMsg"
    ]
@@ -174,6 +174,50 @@
     "console.log(aiMsg.content)"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "ce0414fe",
+   "metadata": {},
+   "source": [
+    "## Json invocation"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "3f0a7a2a",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{\n",
+      "  aiInvokeMsgContent: '{\\n\"result\": 6\\n}',\n",
+      "  aiBindMsg: '{\\n\"result\": 6\\n}'\n",
+      "}\n"
+     ]
+    }
+   ],
+   "source": [
+    "const messages = [\n",
+    "  {\n",
+    "    role: \"system\",\n",
+    "    content: \"You are a math tutor that handles math exercises and makes output in json in format { result: number }.\",\n",
+    "  },\n",
+    "  { role: \"user\",  content: \"2 + 2 * 2\" },\n",
+    "];\n",
+    "\n",
+    "const aiInvokeMsg = await llm.invoke(messages, { response_format: { type: \"json_object\" } });\n",
+    "\n",
+    "// if you want not to pass response_format in every invoke, you can bind it to the instance\n",
+    "const llmWithResponseFormat = llm.bind({ response_format: { type: \"json_object\" } });\n",
+    "const aiBindMsg = await llmWithResponseFormat.invoke(messages);\n",
+    "\n",
+    "// they are the same\n",
+    "console.log({ aiInvokeMsgContent: aiInvokeMsg.content, aiBindMsg: aiBindMsg.content });"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "18e2bfc0-7e78-4528-a73f-499ac150dca8",
@@ -186,7 +230,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 5,
    "id": "e197d1d7-a070-4c96-9f8a-a0e86d046e0b",
    "metadata": {},
    "outputs": [
diff --git a/libs/langchain-groq/src/chat_models.ts b/libs/langchain-groq/src/chat_models.ts
index c16b58752520..524782a6e49e 100644
--- a/libs/langchain-groq/src/chat_models.ts
+++ b/libs/langchain-groq/src/chat_models.ts
@@ -42,6 +42,7 @@ import {
   ChatCompletionCreateParams,
   ChatCompletionCreateParamsNonStreaming,
   ChatCompletionCreateParamsStreaming,
+  CompletionCreateParams,
 } from "groq-sdk/resources/chat/completions";
 import {
   Runnable,
@@ -73,7 +74,7 @@ export interface ChatGroqCallOptions extends BaseChatModelCallOptions {
   headers?: Record<string, string>;
   tools?: ChatGroqToolType[];
   tool_choice?: OpenAIClient.ChatCompletionToolChoiceOption | "any" | string;
-  response_format?: { type: "json_object" };
+  response_format?: CompletionCreateParams.ResponseFormat;
 }
 
 export interface ChatGroqInput extends BaseChatModelParams {

From 20f3c2e32aa3916c2fed9808cd1cdb854a6c5ef1 Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Wed, 18 Sep 2024 22:22:48 -0700
Subject: [PATCH 227/344] fix(core): Loosen return type of withConfig, fix
 tracing for nested tool calls (#6847)

---
 langchain-core/src/runnables/base.ts         | 5 ++---
 langchain-core/src/tools/index.ts            | 2 +-
 langchain-core/src/tools/tests/tools.test.ts | 1 +
 3 files changed, 4 insertions(+), 4 deletions(-)

diff --git a/langchain-core/src/runnables/base.ts b/langchain-core/src/runnables/base.ts
index 59e428b1cb88..8fe8e49f2f8c 100644
--- a/langchain-core/src/runnables/base.ts
+++ b/langchain-core/src/runnables/base.ts
@@ -174,7 +174,7 @@ export abstract class Runnable<
    */
   withConfig(
     config: RunnableConfig
-  ): RunnableBinding<RunInput, RunOutput, CallOptions> {
+  ): Runnable<RunInput, RunOutput, CallOptions> {
     // eslint-disable-next-line @typescript-eslint/no-use-before-define
     return new RunnableBinding({
       bound: this,
@@ -1236,7 +1236,7 @@ export class RunnableBinding<
 
   withConfig(
     config: RunnableConfig
-  ): RunnableBinding<RunInput, RunOutput, CallOptions> {
+  ): Runnable<RunInput, RunOutput, CallOptions> {
     // eslint-disable-next-line @typescript-eslint/no-explicit-any
     return new (this.constructor as any)({
       bound: this.bound,
@@ -2328,7 +2328,6 @@ export class RunnableLambda<RunInput, RunOutput> extends Runnable<
           try {
             let output = await this.func(input, {
               ...childConfig,
-              config: childConfig,
             });
             if (output && Runnable.isRunnable(output)) {
               if (config?.recursionLimit === 0) {
diff --git a/langchain-core/src/tools/index.ts b/langchain-core/src/tools/index.ts
index 42ceff0813ff..e4946d37bb26 100644
--- a/langchain-core/src/tools/index.ts
+++ b/langchain-core/src/tools/index.ts
@@ -606,7 +606,7 @@ export function tool<
         const childConfig = patchConfig(config, {
           callbacks: runManager?.getChild(),
         });
-        void AsyncLocalStorageProviderSingleton.getInstance().run(
+        void AsyncLocalStorageProviderSingleton.runWithConfig(
           childConfig,
           async () => {
             try {
diff --git a/langchain-core/src/tools/tests/tools.test.ts b/langchain-core/src/tools/tests/tools.test.ts
index bdcc068a4d1a..f2a4a63c1357 100644
--- a/langchain-core/src/tools/tests/tools.test.ts
+++ b/langchain-core/src/tools/tests/tools.test.ts
@@ -1,5 +1,6 @@
 import { test, expect } from "@jest/globals";
 import { z } from "zod";
+
 import { DynamicStructuredTool, tool } from "../index.js";
 import { ToolMessage } from "../../messages/tool.js";
 

From 867d1bc7a4143007fb6c903be89932d237efa585 Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Wed, 18 Sep 2024 22:34:04 -0700
Subject: [PATCH 228/344] chore(core): Release 0.3.3 (#6848)

---
 langchain-core/package.json | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/langchain-core/package.json b/langchain-core/package.json
index ebcffad0cf15..61d7c684559f 100644
--- a/langchain-core/package.json
+++ b/langchain-core/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/core",
-  "version": "0.3.2",
+  "version": "0.3.3",
   "description": "Core LangChain.js abstractions and schemas",
   "type": "module",
   "engines": {

From 9fb932134bd33d31c48e1c3d19bf5d4cba5d65de Mon Sep 17 00:00:00 2001
From: jjangga0214 <bnbcmindnpass@gmail.com>
Date: Fri, 20 Sep 2024 02:05:03 +0900
Subject: [PATCH 229/344] docs(tutorial): fix typo (#6849)

---
 docs/core_docs/docs/tutorials/chatbot.ipynb | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/docs/core_docs/docs/tutorials/chatbot.ipynb b/docs/core_docs/docs/tutorials/chatbot.ipynb
index 61bd171e59db..829549e8c1c8 100644
--- a/docs/core_docs/docs/tutorials/chatbot.ipynb
+++ b/docs/core_docs/docs/tutorials/chatbot.ipynb
@@ -325,7 +325,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "We now need to create a `config` that we pass into the runnable every time. This config contains information that is not part of the input directly, but is still useful. In this case, we want to include a `session_id`. This should look like:"
+    "We now need to create a `config` that we pass into the runnable every time. This config contains information that is not part of the input directly, but is still useful. In this case, we want to include a `sessionId`. This should look like:"
    ]
   },
   {
@@ -386,7 +386,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Great! Our chatbot now remembers things about us. If we change the config to reference a different `session_id`, we can see that it starts the conversation fresh."
+    "Great! Our chatbot now remembers things about us. If we change the config to reference a different `sessionId`, we can see that it starts the conversation fresh."
    ]
   },
   {

From cb89d4c34a14cdd1a3b96b8b867b11c415a097d0 Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Fri, 20 Sep 2024 13:46:12 -0700
Subject: [PATCH 230/344] fix(mistral): Fix call options type (#6857)

---
 libs/langchain-mistralai/src/chat_models.ts | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/libs/langchain-mistralai/src/chat_models.ts b/libs/langchain-mistralai/src/chat_models.ts
index b40dbd1caf3c..5c2cb2cf9faa 100644
--- a/libs/langchain-mistralai/src/chat_models.ts
+++ b/libs/langchain-mistralai/src/chat_models.ts
@@ -89,7 +89,7 @@ export interface ChatMistralAICallOptions
   response_format?: {
     type: "text" | "json_object";
   };
-  tools: ChatMistralAIToolType[];
+  tools?: ChatMistralAIToolType[];
   tool_choice?: MistralAIToolChoice;
   /**
    * Whether or not to include token usage in the stream.

From 11cc91936044dcaa06dd03298ef805526d65e547 Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Fri, 20 Sep 2024 13:50:37 -0700
Subject: [PATCH 231/344] chore(mistralai): Release 0.1.1 (#6858)

---
 libs/langchain-mistralai/package.json | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/libs/langchain-mistralai/package.json b/libs/langchain-mistralai/package.json
index 310456f80b58..c88d6a147df6 100644
--- a/libs/langchain-mistralai/package.json
+++ b/libs/langchain-mistralai/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/mistralai",
-  "version": "0.1.0",
+  "version": "0.1.1",
   "description": "MistralAI integration for LangChain.js",
   "type": "module",
   "engines": {

From a58ba0ae8e9d1c527de09ba437fe504ef4aa7314 Mon Sep 17 00:00:00 2001
From: Stephen M Abbott <stephenabbott20@gmail.com>
Date: Sun, 22 Sep 2024 15:39:00 -0700
Subject: [PATCH 232/344] fix: typo fix in agents doc (#6859)

---
 docs/core_docs/docs/concepts.mdx | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/core_docs/docs/concepts.mdx b/docs/core_docs/docs/concepts.mdx
index cc0282464339..e058ba7f5a7c 100644
--- a/docs/core_docs/docs/concepts.mdx
+++ b/docs/core_docs/docs/concepts.mdx
@@ -657,7 +657,7 @@ const tools = toolkit.getTools()
 
 By themselves, language models can't take actions - they just output text.
 A big use case for LangChain is creating **agents**.
-Agents are systems that use an LLM as a reasoning enginer to determine which actions to take and what the inputs to those actions should be.
+Agents are systems that use an LLM as a reasoning engineer to determine which actions to take and what the inputs to those actions should be.
 The results of those actions can then be fed back into the agent and it determine whether more actions are needed, or whether it is okay to finish.
 
 [LangGraph](https://github.com/langchain-ai/langgraphjs) is an extension of LangChain specifically aimed at creating highly controllable and customizable agents.

From fe9fd5e6ee557ba3a447f3e3b83ed460951d100d Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Sun, 22 Sep 2024 17:57:11 -0700
Subject: [PATCH 233/344] feat(community): Update ChromeLLM with latest
 experimental API (#6861)

---
 .../src/experimental/llms/chrome_ai.ts        | 89 ++++++++-----------
 1 file changed, 39 insertions(+), 50 deletions(-)

diff --git a/libs/langchain-community/src/experimental/llms/chrome_ai.ts b/libs/langchain-community/src/experimental/llms/chrome_ai.ts
index dc543fe7c043..618a8b6ecfbc 100644
--- a/libs/langchain-community/src/experimental/llms/chrome_ai.ts
+++ b/libs/langchain-community/src/experimental/llms/chrome_ai.ts
@@ -28,6 +28,7 @@ export type AIModelAvailability = "readily" | "after-download" | "no";
 export interface ChromeAIInputs extends BaseLLMParams {
   topK?: number;
   temperature?: number;
+  systemPrompt?: string;
 }
 
 export interface ChromeAICallOptions extends BaseLanguageModelCallOptions {}
@@ -52,11 +53,11 @@ export interface ChromeAICallOptions extends BaseLanguageModelCallOptions {}
  * ```
  */
 export class ChromeAI extends LLM<ChromeAICallOptions> {
-  session?: AITextSession;
+  temperature?: number;
 
-  temperature = 0.5;
+  topK?: number;
 
-  topK = 40;
+  systemPrompt?: string;
 
   static lc_name() {
     return "ChromeAI";
@@ -68,6 +69,7 @@ export class ChromeAI extends LLM<ChromeAICallOptions> {
     });
     this.temperature = inputs?.temperature ?? this.temperature;
     this.topK = inputs?.topK ?? this.topK;
+    this.systemPrompt = inputs?.systemPrompt;
   }
 
   _llmType() {
@@ -78,50 +80,33 @@ export class ChromeAI extends LLM<ChromeAICallOptions> {
    * Initialize the model. This method may be called before invoking the model
    * to set up a chat session in advance.
    */
-  async initialize() {
-    // eslint-disable-next-line @typescript-eslint/no-explicit-any
-    let ai: any;
+  protected async createSession() {
     // eslint-disable-next-line @typescript-eslint/no-explicit-any
-    if (typeof window !== "undefined" && (window as any).ai !== undefined) {
-      // Browser context
+    let aiInstance: any;
+    try {
+      // eslint-disable-next-line @typescript-eslint/ban-ts-comment
+      // @ts-ignore Experimental browser-only global
+      aiInstance = ai;
       // eslint-disable-next-line @typescript-eslint/no-explicit-any
-      ai = (window as any).ai;
-      // eslint-disable-next-line @typescript-eslint/no-explicit-any
-    } else if (typeof self !== undefined && (self as any).ai !== undefined) {
-      // Worker context
-      // eslint-disable-next-line @typescript-eslint/no-explicit-any
-      ai = (self as any).ai;
-    } else {
+    } catch (e: any) {
       throw new Error(
-        "Could not initialize ChromeAI instance. Make sure you are running a version of Chrome with the proper experimental flags enabled."
+        `Could not initialize ChromeAI instance. Make sure you are running a version of Chrome with the proper experimental flags enabled.\n\nError message: ${e.message}`
       );
     }
-    const canCreateTextSession: AIModelAvailability =
-      await ai.canCreateTextSession();
-    if (canCreateTextSession === "no") {
+    const { available } = await aiInstance.assistant.capabilities();
+    if (available === "no") {
       throw new Error("The AI model is not available.");
-    } else if (canCreateTextSession === "after-download") {
+    } else if (available === "after-download") {
       throw new Error("The AI model is not yet downloaded.");
     }
 
-    this.session = await ai.createTextSession({
+    const session = await aiInstance.assistant.create({
+      systemPrompt: this.systemPrompt,
       topK: this.topK,
       temperature: this.temperature,
     });
-  }
 
-  /**
-   * Call `.destroy()` to free resources if you no longer need a session.
-   * When a session is destroyed, it can no longer be used, and any ongoing
-   * execution will be aborted. You may want to keep the session around if
-   * you intend to prompt the model often since creating a session can take
-   * some time.
-   */
-  destroy() {
-    if (!this.session) {
-      return console.log("No session found. Returning.");
-    }
-    this.session.destroy();
+    return session;
   }
 
   async *_streamResponseChunks(
@@ -129,22 +114,26 @@ export class ChromeAI extends LLM<ChromeAICallOptions> {
     _options: this["ParsedCallOptions"],
     runManager?: CallbackManagerForLLMRun
   ): AsyncGenerator<GenerationChunk> {
-    if (!this.session) {
-      await this.initialize();
-    }
-
-    // eslint-disable-next-line @typescript-eslint/no-non-null-assertion
-    const stream = this.session!.promptStreaming(prompt);
-    const iterableStream = IterableReadableStream.fromReadableStream(stream);
-
-    let previousContent = "";
-    for await (const chunk of iterableStream) {
-      const newContent = chunk.slice(previousContent.length);
-      previousContent += newContent;
-      yield new GenerationChunk({
-        text: newContent,
-      });
-      await runManager?.handleLLMNewToken(newContent);
+    let session;
+    try {
+      session = await this.createSession();
+
+      const stream = session.promptStreaming(prompt);
+      const iterableStream =
+        // eslint-disable-next-line @typescript-eslint/no-explicit-any
+        IterableReadableStream.fromReadableStream<any>(stream);
+
+      let previousContent = "";
+      for await (const chunk of iterableStream) {
+        const newContent = chunk.slice(previousContent.length);
+        previousContent += newContent;
+        yield new GenerationChunk({
+          text: newContent,
+        });
+        await runManager?.handleLLMNewToken(newContent);
+      }
+    } finally {
+      session?.destroy();
     }
   }
 

From ce5f7ce73eec75e9d44593b8e2968605d6f16e09 Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Sun, 22 Sep 2024 18:03:54 -0700
Subject: [PATCH 234/344] chore(community): Release 0.3.2 (#6862)

---
 libs/langchain-community/package.json | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/libs/langchain-community/package.json b/libs/langchain-community/package.json
index 7b7df3823367..cb94f7920c5e 100644
--- a/libs/langchain-community/package.json
+++ b/libs/langchain-community/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/community",
-  "version": "0.3.1",
+  "version": "0.3.2",
   "description": "Third-party integrations for LangChain.js",
   "type": "module",
   "engines": {

From c9f4f9cbf76879c1206f9647eb0f57049a9fa916 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Cahid=20Arda=20=C3=96z?= <cahidardaooz@hotmail.com>
Date: Mon, 23 Sep 2024 19:34:49 +0300
Subject: [PATCH 235/344] fix(community): bump `@upstash/ratelimit` version
 (#6832)

Co-authored-by: bracesproul <braceasproul@gmail.com>
---
 libs/langchain-community/package.json         |  4 ++--
 .../callbacks/handlers/upstash_ratelimit.ts   |  7 +++++-
 yarn.lock                                     | 22 +++++++++----------
 3 files changed, 19 insertions(+), 14 deletions(-)

diff --git a/libs/langchain-community/package.json b/libs/langchain-community/package.json
index cb94f7920c5e..56b0a4099ea2 100644
--- a/libs/langchain-community/package.json
+++ b/libs/langchain-community/package.json
@@ -123,7 +123,7 @@
     "@types/ws": "^8",
     "@typescript-eslint/eslint-plugin": "^5.58.0",
     "@typescript-eslint/parser": "^5.58.0",
-    "@upstash/ratelimit": "^1.2.1",
+    "@upstash/ratelimit": "^2.0.3",
     "@upstash/redis": "^1.32.0",
     "@upstash/vector": "^1.1.1",
     "@vercel/kv": "^0.2.3",
@@ -265,7 +265,7 @@
     "@tensorflow-models/universal-sentence-encoder": "*",
     "@tensorflow/tfjs-converter": "*",
     "@tensorflow/tfjs-core": "*",
-    "@upstash/ratelimit": "^1.1.3",
+    "@upstash/ratelimit": "^1.1.3 || ^2.0.3",
     "@upstash/redis": "^1.20.6",
     "@upstash/vector": "^1.1.1",
     "@vercel/kv": "^0.2.3",
diff --git a/libs/langchain-community/src/callbacks/handlers/upstash_ratelimit.ts b/libs/langchain-community/src/callbacks/handlers/upstash_ratelimit.ts
index aefc4b380181..255c474adbd0 100644
--- a/libs/langchain-community/src/callbacks/handlers/upstash_ratelimit.ts
+++ b/libs/langchain-community/src/callbacks/handlers/upstash_ratelimit.ts
@@ -148,7 +148,12 @@ class UpstashRatelimitHandler extends BaseCallbackHandler {
     _name?: string
   ): Promise<void> {
     if (this.tokenRatelimit) {
-      const remaining = await this.tokenRatelimit.getRemaining(this.identifier);
+      const result = await this.tokenRatelimit.getRemaining(this.identifier);
+
+      // result of getRemaining was changed from a number to an object in v2.0.0.
+      // we check to make sure that it works with versions before & after:
+      const remaining = typeof result === "number" ? result : result.remaining;
+
       if (remaining <= 0) {
         throw new UpstashRatelimitError("Token limit reached!", "token");
       }
diff --git a/yarn.lock b/yarn.lock
index 0f4f4bdee091..19c48679f1ee 100644
--- a/yarn.lock
+++ b/yarn.lock
@@ -11503,7 +11503,7 @@ __metadata:
     "@types/ws": ^8
     "@typescript-eslint/eslint-plugin": ^5.58.0
     "@typescript-eslint/parser": ^5.58.0
-    "@upstash/ratelimit": ^1.2.1
+    "@upstash/ratelimit": ^2.0.3
     "@upstash/redis": ^1.32.0
     "@upstash/vector": ^1.1.1
     "@vercel/kv": ^0.2.3
@@ -11653,7 +11653,7 @@ __metadata:
     "@tensorflow-models/universal-sentence-encoder": "*"
     "@tensorflow/tfjs-converter": "*"
     "@tensorflow/tfjs-core": "*"
-    "@upstash/ratelimit": ^1.1.3
+    "@upstash/ratelimit": ^1.1.3 || ^2.0.3
     "@upstash/redis": ^1.20.6
     "@upstash/vector": ^1.1.1
     "@vercel/kv": ^0.2.3
@@ -20162,21 +20162,21 @@ __metadata:
   languageName: node
   linkType: hard
 
-"@upstash/core-analytics@npm:^0.0.9":
-  version: 0.0.9
-  resolution: "@upstash/core-analytics@npm:0.0.9"
+"@upstash/core-analytics@npm:^0.0.10":
+  version: 0.0.10
+  resolution: "@upstash/core-analytics@npm:0.0.10"
   dependencies:
     "@upstash/redis": ^1.28.3
-  checksum: cfb49ce9d7c745a98de2b4e35973855d6311502c90840683dbe4b6a58304d880c6c356c6de275f32cfe5ec5add865a3dfe860c96d989e8a06e823788e90af2b9
+  checksum: 5b435a5e67666a6ecb19e59ab73f314124634fdadb66390f8b2d6f7e20cac461262e5b81d113d77a5d093d8d11b2cfe3ecd5c573cde77505557f8bbf0f8b1e27
   languageName: node
   linkType: hard
 
-"@upstash/ratelimit@npm:^1.2.1":
-  version: 1.2.1
-  resolution: "@upstash/ratelimit@npm:1.2.1"
+"@upstash/ratelimit@npm:^2.0.3":
+  version: 2.0.3
+  resolution: "@upstash/ratelimit@npm:2.0.3"
   dependencies:
-    "@upstash/core-analytics": ^0.0.9
-  checksum: c23112312c51d91916ab75610a2ad9bd7b8eea41c2f6765eb84e572334eb0a4bc59c2420c9332c22a91e42398570c47ce0231884e6362d56e50057935d5f12f8
+    "@upstash/core-analytics": ^0.0.10
+  checksum: eae88d62948f9069bf1c89e9a7fb5c0e2a1e784d04af2319d079a60b02dc67d8e316af9252931d29fafb93dedb496479b0e92a340d62bdddd96d60e3fbe44c63
   languageName: node
   linkType: hard
 

From 5f5961d753e0fd25fdee595b3be7613592aab3d0 Mon Sep 17 00:00:00 2001
From: Brace Sproul <braceasproul@gmail.com>
Date: Mon, 23 Sep 2024 11:04:35 -0700
Subject: [PATCH 236/344] fix(docs): Drop announcement bar (#6863)

---
 docs/core_docs/docusaurus.config.js | 7 -------
 1 file changed, 7 deletions(-)

diff --git a/docs/core_docs/docusaurus.config.js b/docs/core_docs/docusaurus.config.js
index 4ab00bbb5029..6f8472891917 100644
--- a/docs/core_docs/docusaurus.config.js
+++ b/docs/core_docs/docusaurus.config.js
@@ -135,13 +135,6 @@ const config = {
   themeConfig:
     /** @type {import('@docusaurus/preset-classic').ThemeConfig} */
     ({
-      announcementBar: {
-        content:
-          'Share your thoughts on AI agents. <a target="_blank" href="https://langchain.typeform.com/state-of-agents">Take the 3-min survey</a>.',
-        isCloseable: true,
-        backgroundColor: "rgba(53, 151, 147, 0.1)",
-        textColor: "rgb(53, 151, 147)",
-      },
       prism: {
         theme: {
           ...baseLightCodeBlockTheme,

From 824f1ecf10db8eb702d79bc1511487d821679dd9 Mon Sep 17 00:00:00 2001
From: Bagatur <22008038+baskaryan@users.noreply.github.com>
Date: Mon, 23 Sep 2024 13:47:11 -0700
Subject: [PATCH 237/344] groq[patch]: set api key attr (#6864)

Co-authored-by: jacoblee93 <jacoblee93@gmail.com>
---
 libs/langchain-groq/src/chat_models.ts            | 3 +++
 libs/langchain-groq/src/tests/chat_models.test.ts | 8 ++++++++
 2 files changed, 11 insertions(+)

diff --git a/libs/langchain-groq/src/chat_models.ts b/libs/langchain-groq/src/chat_models.ts
index 524782a6e49e..49bba333c6de 100644
--- a/libs/langchain-groq/src/chat_models.ts
+++ b/libs/langchain-groq/src/chat_models.ts
@@ -660,6 +660,8 @@ export class ChatGroq extends BaseChatModel<
 
   streaming = false;
 
+  apiKey?: string;
+
   static lc_name() {
     return "ChatGroq";
   }
@@ -690,6 +692,7 @@ export class ChatGroq extends BaseChatModel<
       apiKey,
       dangerouslyAllowBrowser: true,
     });
+    this.apiKey = apiKey;
     this.temperature = fields?.temperature ?? this.temperature;
     this.modelName = fields?.model ?? fields?.modelName ?? this.model;
     this.model = this.modelName;
diff --git a/libs/langchain-groq/src/tests/chat_models.test.ts b/libs/langchain-groq/src/tests/chat_models.test.ts
index b1ed1988d647..8f6b06f13edb 100644
--- a/libs/langchain-groq/src/tests/chat_models.test.ts
+++ b/libs/langchain-groq/src/tests/chat_models.test.ts
@@ -10,3 +10,11 @@ test("Serialization", () => {
     `{"lc":1,"type":"constructor","id":["langchain","chat_models","groq","ChatGroq"],"kwargs":{"api_key":{"lc":1,"type":"secret","id":["GROQ_API_KEY"]}}}`
   );
 });
+
+test("Serialization with no params", () => {
+  process.env.GROQ_API_KEY = "foo";
+  const model = new ChatGroq();
+  expect(JSON.stringify(model)).toEqual(
+    `{"lc":1,"type":"constructor","id":["langchain","chat_models","groq","ChatGroq"],"kwargs":{"api_key":{"lc":1,"type":"secret","id":["GROQ_API_KEY"]}}}`
+  );
+});

From c05aa077c837f9ca8b886de0c00b22a95715e273 Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Mon, 23 Sep 2024 14:17:51 -0700
Subject: [PATCH 238/344] chore(groq): Release 0.1.2 (#6865)

---
 libs/langchain-groq/package.json | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/libs/langchain-groq/package.json b/libs/langchain-groq/package.json
index d74505d50792..551e3770686e 100644
--- a/libs/langchain-groq/package.json
+++ b/libs/langchain-groq/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/groq",
-  "version": "0.1.1",
+  "version": "0.1.2",
   "description": "Groq integration for LangChain.js",
   "type": "module",
   "engines": {

From 8f6f2441a3fff06f8a78f33d2b6bdcac18b12b15 Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Tue, 24 Sep 2024 13:33:15 -0700
Subject: [PATCH 239/344] chore(openai,anthropic): Expose OpenAI and Anthropic
 payload formatters (#6872)

---
 libs/langchain-anthropic/src/chat_models.ts            | 6 +++---
 libs/langchain-anthropic/src/index.ts                  | 1 +
 libs/langchain-anthropic/src/tests/chat_models.test.ts | 4 ++--
 libs/langchain-anthropic/src/utils/message_inputs.ts   | 3 ++-
 libs/langchain-openai/src/chat_models.ts               | 7 ++++---
 5 files changed, 12 insertions(+), 9 deletions(-)

diff --git a/libs/langchain-anthropic/src/chat_models.ts b/libs/langchain-anthropic/src/chat_models.ts
index 3ae88586d079..294b84c26f88 100644
--- a/libs/langchain-anthropic/src/chat_models.ts
+++ b/libs/langchain-anthropic/src/chat_models.ts
@@ -33,7 +33,7 @@ import type {
 import { isLangChainTool } from "@langchain/core/utils/function_calling";
 import { AnthropicToolsOutputParser } from "./output_parsers.js";
 import { extractToolCallChunk, handleToolChoice } from "./utils/tools.js";
-import { _formatMessagesForAnthropic } from "./utils/message_inputs.js";
+import { _convertMessagesToAnthropicPayload } from "./utils/message_inputs.js";
 import {
   _makeMessageChunkFromAnthropicEvent,
   anthropicResponseToChatMessages,
@@ -782,7 +782,7 @@ export class ChatAnthropicMessages<
     runManager?: CallbackManagerForLLMRun
   ): AsyncGenerator<ChatGenerationChunk> {
     const params = this.invocationParams(options);
-    const formattedMessages = _formatMessagesForAnthropic(messages);
+    const formattedMessages = _convertMessagesToAnthropicPayload(messages);
     const coerceContentToString = !_toolsInParams({
       ...params,
       ...formattedMessages,
@@ -852,7 +852,7 @@ export class ChatAnthropicMessages<
       {
         ...params,
         stream: false,
-        ..._formatMessagesForAnthropic(messages),
+        ..._convertMessagesToAnthropicPayload(messages),
       },
       requestOptions
     );
diff --git a/libs/langchain-anthropic/src/index.ts b/libs/langchain-anthropic/src/index.ts
index 38c7cea7f478..b45ffe6fb26b 100644
--- a/libs/langchain-anthropic/src/index.ts
+++ b/libs/langchain-anthropic/src/index.ts
@@ -1 +1,2 @@
 export * from "./chat_models.js";
+export { _convertMessagesToAnthropicPayload } from "./utils/message_inputs.js";
diff --git a/libs/langchain-anthropic/src/tests/chat_models.test.ts b/libs/langchain-anthropic/src/tests/chat_models.test.ts
index bc6308c75770..68644d453187 100644
--- a/libs/langchain-anthropic/src/tests/chat_models.test.ts
+++ b/libs/langchain-anthropic/src/tests/chat_models.test.ts
@@ -3,7 +3,7 @@ import { AIMessage, HumanMessage, ToolMessage } from "@langchain/core/messages";
 import { z } from "zod";
 import { OutputParserException } from "@langchain/core/output_parsers";
 import { ChatAnthropic } from "../chat_models.js";
-import { _formatMessagesForAnthropic } from "../utils/message_inputs.js";
+import { _convertMessagesToAnthropicPayload } from "../index.js";
 
 test("withStructuredOutput with output validation", async () => {
   const model = new ChatAnthropic({
@@ -143,7 +143,7 @@ test("Can properly format anthropic messages when given two tool results", async
     }),
   ];
 
-  const formattedMessages = _formatMessagesForAnthropic(messageHistory);
+  const formattedMessages = _convertMessagesToAnthropicPayload(messageHistory);
 
   expect(formattedMessages).toEqual({
     messages: [
diff --git a/libs/langchain-anthropic/src/utils/message_inputs.ts b/libs/langchain-anthropic/src/utils/message_inputs.ts
index b32786e43f02..8f810b231f97 100644
--- a/libs/langchain-anthropic/src/utils/message_inputs.ts
+++ b/libs/langchain-anthropic/src/utils/message_inputs.ts
@@ -185,10 +185,11 @@ function _formatContent(content: MessageContent) {
 
 /**
  * Formats messages as a prompt for the model.
+ * Used in LangSmith, export is important here.
  * @param messages The base messages to format as a prompt.
  * @returns The formatted prompt.
  */
-export function _formatMessagesForAnthropic(
+export function _convertMessagesToAnthropicPayload(
   messages: BaseMessage[]
 ): AnthropicMessageCreateParams {
   const mergedMessages = _mergeMessages(messages);
diff --git a/libs/langchain-openai/src/chat_models.ts b/libs/langchain-openai/src/chat_models.ts
index 3a0cccf13d04..ac67fef13903 100644
--- a/libs/langchain-openai/src/chat_models.ts
+++ b/libs/langchain-openai/src/chat_models.ts
@@ -250,7 +250,8 @@ function _convertDeltaToMessageChunk(
   }
 }
 
-function convertMessagesToOpenAIParams(messages: BaseMessage[]) {
+// Used in LangSmith, export is important here
+export function _convertMessagesToOpenAIParams(messages: BaseMessage[]) {
   // TODO: Function messages do not support array content, fix cast
   return messages.map((message) => {
     // eslint-disable-next-line @typescript-eslint/no-explicit-any
@@ -1200,7 +1201,7 @@ export class ChatOpenAI<
       return;
     }
     const messagesMapped: OpenAICompletionParam[] =
-      convertMessagesToOpenAIParams(messages);
+      _convertMessagesToOpenAIParams(messages);
     const params = {
       ...this.invocationParams(options, {
         streaming: true,
@@ -1329,7 +1330,7 @@ export class ChatOpenAI<
     const tokenUsage: TokenUsage = {};
     const params = this.invocationParams(options);
     const messagesMapped: OpenAICompletionParam[] =
-      convertMessagesToOpenAIParams(messages);
+      _convertMessagesToOpenAIParams(messages);
 
     if (params.stream) {
       const stream = this._streamResponseChunks(messages, options, runManager);

From 52b010dce775b549a73913edac0931d5828b9707 Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Tue, 24 Sep 2024 13:35:59 -0700
Subject: [PATCH 240/344] chore(openai): Release 0.3.1 (#6874)

---
 libs/langchain-openai/package.json | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/libs/langchain-openai/package.json b/libs/langchain-openai/package.json
index eee9e586474e..d767eed7c645 100644
--- a/libs/langchain-openai/package.json
+++ b/libs/langchain-openai/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/openai",
-  "version": "0.3.0",
+  "version": "0.3.1",
   "description": "OpenAI integrations for LangChain.js",
   "type": "module",
   "engines": {

From d3e55f8fb681d44f70a42d68542d5586a51b6921 Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Tue, 24 Sep 2024 13:38:06 -0700
Subject: [PATCH 241/344] chore(anthropic): Release 0.3.2 (#6875)

---
 libs/langchain-anthropic/package.json | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/libs/langchain-anthropic/package.json b/libs/langchain-anthropic/package.json
index 8bfd9754abf4..718d4769a9cd 100644
--- a/libs/langchain-anthropic/package.json
+++ b/libs/langchain-anthropic/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/anthropic",
-  "version": "0.3.1",
+  "version": "0.3.2",
   "description": "Anthropic integrations for LangChain.js",
   "type": "module",
   "engines": {

From 338b116957a4ecd5a2b5e31aba9512bde53a637c Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Tue, 24 Sep 2024 15:34:29 -0700
Subject: [PATCH 242/344] feat(anthropic,openai): Add payload formatting utils
 to Anthropic and OpenAI (#6876)

---
 libs/langchain-anthropic/src/index.ts         |  2 +-
 .../src/tests/chat_models.test.ts             |  2 +-
 .../src/tests/prompts.int.test.ts             | 28 ++++++++++
 libs/langchain-anthropic/src/utils/prompts.ts | 51 +++++++++++++++++++
 libs/langchain-openai/src/index.ts            |  1 +
 .../src/tests/prompts.int.test.ts             | 25 +++++++++
 libs/langchain-openai/src/utils/prompts.ts    | 47 +++++++++++++++++
 7 files changed, 154 insertions(+), 2 deletions(-)
 create mode 100644 libs/langchain-anthropic/src/tests/prompts.int.test.ts
 create mode 100644 libs/langchain-anthropic/src/utils/prompts.ts
 create mode 100644 libs/langchain-openai/src/tests/prompts.int.test.ts
 create mode 100644 libs/langchain-openai/src/utils/prompts.ts

diff --git a/libs/langchain-anthropic/src/index.ts b/libs/langchain-anthropic/src/index.ts
index b45ffe6fb26b..f6dcb46020ce 100644
--- a/libs/langchain-anthropic/src/index.ts
+++ b/libs/langchain-anthropic/src/index.ts
@@ -1,2 +1,2 @@
 export * from "./chat_models.js";
-export { _convertMessagesToAnthropicPayload } from "./utils/message_inputs.js";
+export { convertPromptToAnthropic } from "./utils/prompts.js";
diff --git a/libs/langchain-anthropic/src/tests/chat_models.test.ts b/libs/langchain-anthropic/src/tests/chat_models.test.ts
index 68644d453187..e605337c2d8e 100644
--- a/libs/langchain-anthropic/src/tests/chat_models.test.ts
+++ b/libs/langchain-anthropic/src/tests/chat_models.test.ts
@@ -3,7 +3,7 @@ import { AIMessage, HumanMessage, ToolMessage } from "@langchain/core/messages";
 import { z } from "zod";
 import { OutputParserException } from "@langchain/core/output_parsers";
 import { ChatAnthropic } from "../chat_models.js";
-import { _convertMessagesToAnthropicPayload } from "../index.js";
+import { _convertMessagesToAnthropicPayload } from "../utils/message_inputs.js";
 
 test("withStructuredOutput with output validation", async () => {
   const model = new ChatAnthropic({
diff --git a/libs/langchain-anthropic/src/tests/prompts.int.test.ts b/libs/langchain-anthropic/src/tests/prompts.int.test.ts
new file mode 100644
index 000000000000..14b662b9c420
--- /dev/null
+++ b/libs/langchain-anthropic/src/tests/prompts.int.test.ts
@@ -0,0 +1,28 @@
+import Anthropic from "@anthropic-ai/sdk";
+import { ChatPromptTemplate } from "@langchain/core/prompts";
+
+import { convertPromptToAnthropic } from "../utils/prompts.js";
+
+test("Convert hub prompt to Anthropic payload and invoke", async () => {
+  const prompt = ChatPromptTemplate.fromMessages([
+    ["system", "You are a world class comedian"],
+    ["human", "Tell me a joke about {topic}"],
+  ]);
+  const formattedPrompt = await prompt.invoke({
+    topic: "cats",
+  });
+
+  const { system, messages } = convertPromptToAnthropic(formattedPrompt);
+
+  const anthropicClient = new Anthropic();
+
+  const anthropicResponse = await anthropicClient.messages.create({
+    model: "claude-3-haiku-20240307",
+    system,
+    messages,
+    max_tokens: 1024,
+    stream: false,
+  });
+
+  expect(anthropicResponse.content).toBeDefined();
+});
diff --git a/libs/langchain-anthropic/src/utils/prompts.ts b/libs/langchain-anthropic/src/utils/prompts.ts
new file mode 100644
index 000000000000..7fb32b5903c2
--- /dev/null
+++ b/libs/langchain-anthropic/src/utils/prompts.ts
@@ -0,0 +1,51 @@
+import type { BasePromptValue } from "@langchain/core/prompt_values";
+import Anthropic from "@anthropic-ai/sdk";
+
+import { _convertMessagesToAnthropicPayload } from "./message_inputs.js";
+
+/**
+ * Convert a formatted LangChain prompt (e.g. pulled from the hub) into
+ * a format expected by Anthropic's JS SDK.
+ *
+ * Requires the "@langchain/anthropic" package to be installed in addition
+ * to the Anthropic SDK.
+ *
+ * @example
+ * ```ts
+ * import { convertPromptToAnthropic } from "langsmith/utils/hub/anthropic";
+ * import { pull } from "langchain/hub";
+ *
+ * import Anthropic from '@anthropic-ai/sdk';
+ *
+ * const prompt = await pull("jacob/joke-generator");
+ * const formattedPrompt = await prompt.invoke({
+ *   topic: "cats",
+ * });
+ *
+ * const { system, messages } = convertPromptToAnthropic(formattedPrompt);
+ *
+ * const anthropicClient = new Anthropic({
+ *   apiKey: 'your_api_key',
+ * });
+ *
+ * const anthropicResponse = await anthropicClient.messages.create({
+ *   model: "claude-3-5-sonnet-20240620",
+ *   max_tokens: 1024,
+ *   stream: false,
+ *   system,
+ *   messages,
+ * });
+ * ```
+ * @param formattedPrompt
+ * @returns A partial Anthropic payload.
+ */
+export function convertPromptToAnthropic(
+  formattedPrompt: BasePromptValue
+): Anthropic.Messages.MessageCreateParams {
+  const messages = formattedPrompt.toChatMessages();
+  const anthropicBody = _convertMessagesToAnthropicPayload(messages);
+  if (anthropicBody.messages === undefined) {
+    anthropicBody.messages = [];
+  }
+  return anthropicBody;
+}
diff --git a/libs/langchain-openai/src/index.ts b/libs/langchain-openai/src/index.ts
index 76e8df482138..c18e60f26a0a 100644
--- a/libs/langchain-openai/src/index.ts
+++ b/libs/langchain-openai/src/index.ts
@@ -9,3 +9,4 @@ export * from "./types.js";
 export * from "./utils/openai.js";
 export * from "./utils/azure.js";
 export * from "./tools/index.js";
+export { convertPromptToOpenAI } from "./utils/prompts.js";
diff --git a/libs/langchain-openai/src/tests/prompts.int.test.ts b/libs/langchain-openai/src/tests/prompts.int.test.ts
new file mode 100644
index 000000000000..5e54da012fe0
--- /dev/null
+++ b/libs/langchain-openai/src/tests/prompts.int.test.ts
@@ -0,0 +1,25 @@
+import OpenAI from "openai";
+import { ChatPromptTemplate } from "@langchain/core/prompts";
+
+import { convertPromptToOpenAI } from "../utils/prompts.js";
+
+test("Convert hub prompt to OpenAI payload and invoke", async () => {
+  const prompt = ChatPromptTemplate.fromMessages([
+    ["system", "You are a world class comedian"],
+    ["human", "Tell me a joke about {topic}"],
+  ]);
+  const formattedPrompt = await prompt.invoke({
+    topic: "cats",
+  });
+
+  const { messages } = convertPromptToOpenAI(formattedPrompt);
+
+  const openAIClient = new OpenAI();
+
+  const openAIResponse = await openAIClient.chat.completions.create({
+    model: "gpt-4o-mini",
+    messages,
+  });
+
+  expect(openAIResponse.choices.length).toBeGreaterThan(0);
+});
diff --git a/libs/langchain-openai/src/utils/prompts.ts b/libs/langchain-openai/src/utils/prompts.ts
new file mode 100644
index 000000000000..8951ed63a0d9
--- /dev/null
+++ b/libs/langchain-openai/src/utils/prompts.ts
@@ -0,0 +1,47 @@
+/* eslint-disable import/no-extraneous-dependencies */
+import type { BasePromptValue } from "@langchain/core/prompt_values";
+import type { OpenAI } from "openai";
+
+import { _convertMessagesToOpenAIParams } from "../chat_models.js";
+
+/**
+ * Convert a formatted LangChain prompt (e.g. pulled from the hub) into
+ * a format expected by OpenAI's JS SDK.
+ *
+ * Requires the "@langchain/openai" package to be installed in addition
+ * to the OpenAI SDK.
+ *
+ * @example
+ * ```ts
+ * import { convertPromptToOpenAI } from "langsmith/utils/hub/openai";
+ * import { pull } from "langchain/hub";
+ *
+ * import OpenAI from 'openai';
+ *
+ * const prompt = await pull("jacob/joke-generator");
+ * const formattedPrompt = await prompt.invoke({
+ *   topic: "cats",
+ * });
+ *
+ * const { messages } = convertPromptToOpenAI(formattedPrompt);
+ *
+ * const openAIClient = new OpenAI();
+ *
+ * const openaiResponse = await openAIClient.chat.completions.create({
+ *   model: "gpt-4o",
+ *   messages,
+ * });
+ * ```
+ * @param formattedPrompt
+ * @returns A partial OpenAI payload.
+ */
+export function convertPromptToOpenAI(formattedPrompt: BasePromptValue): {
+  messages: OpenAI.Chat.ChatCompletionMessageParam[];
+} {
+  const messages = formattedPrompt.toChatMessages();
+  return {
+    messages: _convertMessagesToOpenAIParams(
+      messages
+    ) as OpenAI.Chat.ChatCompletionMessageParam[],
+  };
+}

From b397a7d09655c735ed1176c6099a9f0e05250512 Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Tue, 24 Sep 2024 17:05:01 -0700
Subject: [PATCH 243/344] chore(openai): Release 0.3.2 (#6877)

---
 libs/langchain-openai/package.json | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/libs/langchain-openai/package.json b/libs/langchain-openai/package.json
index d767eed7c645..bcd3f2007da9 100644
--- a/libs/langchain-openai/package.json
+++ b/libs/langchain-openai/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/openai",
-  "version": "0.3.1",
+  "version": "0.3.2",
   "description": "OpenAI integrations for LangChain.js",
   "type": "module",
   "engines": {

From fb149e86872e70ea1bdf8c1059f35db581a11592 Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Tue, 24 Sep 2024 17:31:21 -0700
Subject: [PATCH 244/344] chore(anthropic): Release 0.3.3 (#6878)

---
 libs/langchain-anthropic/package.json | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/libs/langchain-anthropic/package.json b/libs/langchain-anthropic/package.json
index 718d4769a9cd..c5fd37be80d8 100644
--- a/libs/langchain-anthropic/package.json
+++ b/libs/langchain-anthropic/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/anthropic",
-  "version": "0.3.2",
+  "version": "0.3.3",
   "description": "Anthropic integrations for LangChain.js",
   "type": "module",
   "engines": {

From ae04a17df2154fc6e799f02d9f585f3ba43b7808 Mon Sep 17 00:00:00 2001
From: Bagatur <22008038+baskaryan@users.noreply.github.com>
Date: Tue, 24 Sep 2024 18:59:37 -0700
Subject: [PATCH 245/344] community[patch]: support AWS_... env vars (#6866)

---
 .../src/chat_models/bedrock/index.ts          | 20 ++++--
 .../src/chat_models/bedrock/web.ts            | 65 ++++++++++++++-----
 .../src/chat_models/tests/chatbedrock.test.ts | 31 +++++++++
 .../src/utils/bedrock/index.ts                |  6 ++
 4 files changed, 97 insertions(+), 25 deletions(-)

diff --git a/libs/langchain-community/src/chat_models/bedrock/index.ts b/libs/langchain-community/src/chat_models/bedrock/index.ts
index 9802beffe4cb..9cf533a4c3f5 100644
--- a/libs/langchain-community/src/chat_models/bedrock/index.ts
+++ b/libs/langchain-community/src/chat_models/bedrock/index.ts
@@ -21,9 +21,9 @@ export interface BedrockChatFields
  *
  * ```bash
  * npm install @langchain/openai
- * export BEDROCK_AWS_REGION="your-aws-region"
- * export BEDROCK_AWS_SECRET_ACCESS_KEY="your-aws-secret-access-key"
- * export BEDROCK_AWS_ACCESS_KEY_ID="your-aws-access-key-id"
+ * export AWS_REGION="your-aws-region"
+ * export AWS_SECRET_ACCESS_KEY="your-aws-secret-access-key"
+ * export AWS_ACCESS_KEY_ID="your-aws-access-key-id"
  * ```
  *
  * ## [Constructor args](/classes/langchain_community_chat_models_bedrock.BedrockChat.html#constructor)
@@ -60,15 +60,21 @@ export interface BedrockChatFields
  * const llm = new BedrockChat({
  *   region: process.env.BEDROCK_AWS_REGION,
  *   maxRetries: 0,
- *   credentials: {
- *     secretAccessKey: process.env.BEDROCK_AWS_SECRET_ACCESS_KEY!,
- *     accessKeyId: process.env.BEDROCK_AWS_ACCESS_KEY_ID!,
- *   },
  *   model: "anthropic.claude-3-5-sonnet-20240620-v1:0",
  *   temperature: 0,
  *   maxTokens: undefined,
  *   // other params...
  * });
+ *
+ * // You can also pass credentials in explicitly:
+ * const llmWithCredentials = new BedrockChat({
+ *   region: process.env.BEDROCK_AWS_REGION,
+ *   model: "anthropic.claude-3-5-sonnet-20240620-v1:0",
+ *   credentials: {
+ *     secretAccessKey: process.env.BEDROCK_AWS_SECRET_ACCESS_KEY!,
+ *     accessKeyId: process.env.BEDROCK_AWS_ACCESS_KEY_ID!,
+ *   },
+ * });
  * ```
  * </details>
  *
diff --git a/libs/langchain-community/src/chat_models/bedrock/web.ts b/libs/langchain-community/src/chat_models/bedrock/web.ts
index 69a0bb42eb8b..8e227a81ec2d 100644
--- a/libs/langchain-community/src/chat_models/bedrock/web.ts
+++ b/libs/langchain-community/src/chat_models/bedrock/web.ts
@@ -183,9 +183,9 @@ export interface BedrockChatFields
  *
  * ```bash
  * npm install @langchain/openai
- * export BEDROCK_AWS_REGION="your-aws-region"
- * export BEDROCK_AWS_SECRET_ACCESS_KEY="your-aws-secret-access-key"
- * export BEDROCK_AWS_ACCESS_KEY_ID="your-aws-access-key-id"
+ * export AWS_REGION="your-aws-region"
+ * export AWS_SECRET_ACCESS_KEY="your-aws-secret-access-key"
+ * export AWS_ACCESS_KEY_ID="your-aws-access-key-id"
  * ```
  *
  * ## [Constructor args](/classes/langchain_community_chat_models_bedrock.BedrockChat.html#constructor)
@@ -217,20 +217,26 @@ export interface BedrockChatFields
  * <summary><strong>Instantiate</strong></summary>
  *
  * ```typescript
- * import { BedrockChat } from '@langchain/community/chat_models/bedrock';
+ * import { BedrockChat } from '@langchain/community/chat_models/bedrock/web';
  *
  * const llm = new BedrockChat({
- *   region: process.env.BEDROCK_AWS_REGION,
+ *   region: process.env.AWS_REGION,
  *   maxRetries: 0,
- *   credentials: {
- *     secretAccessKey: process.env.BEDROCK_AWS_SECRET_ACCESS_KEY!,
- *     accessKeyId: process.env.BEDROCK_AWS_ACCESS_KEY_ID!,
- *   },
  *   model: "anthropic.claude-3-5-sonnet-20240620-v1:0",
  *   temperature: 0,
  *   maxTokens: undefined,
  *   // other params...
  * });
+ *
+ * // You can also pass credentials in explicitly:
+ * const llmWithCredentials = new BedrockChat({
+ *   region: process.env.BEDROCK_AWS_REGION,
+ *   model: "anthropic.claude-3-5-sonnet-20240620-v1:0",
+ *   credentials: {
+ *     secretAccessKey: process.env.BEDROCK_AWS_SECRET_ACCESS_KEY!,
+ *     accessKeyId: process.env.BEDROCK_AWS_ACCESS_KEY_ID!,
+ *   },
+ * });
  * ```
  * </details>
  *
@@ -542,8 +548,12 @@ export class BedrockChat
 
   get lc_secrets(): { [key: string]: string } | undefined {
     return {
-      "credentials.accessKeyId": "BEDROCK_AWS_ACCESS_KEY_ID",
-      "credentials.secretAccessKey": "BEDROCK_AWS_SECRET_ACCESS_KEY",
+      "credentials.accessKeyId": "AWS_ACCESS_KEY_ID",
+      "credentials.secretAccessKey": "AWS_SECRET_ACCESS_KEY",
+      "credentials.sessionToken": "AWS_SECRET_ACCESS_KEY",
+      awsAccessKeyId: "AWS_ACCESS_KEY_ID",
+      awsSecretAccessKey: "AWS_SECRET_ACCESS_KEY",
+      awsSessionToken: "AWS_SESSION_TOKEN",
     };
   }
 
@@ -566,7 +576,32 @@ export class BedrockChat
   }
 
   constructor(fields?: BedrockChatFields) {
-    super(fields ?? {});
+    const awsAccessKeyId =
+      fields?.awsAccessKeyId ?? getEnvironmentVariable("AWS_ACCESS_KEY_ID");
+    const awsSecretAccessKey =
+      fields?.awsSecretAccessKey ??
+      getEnvironmentVariable("AWS_SECRET_ACCESS_KEY");
+    const awsSessionToken =
+      fields?.awsSessionToken ?? getEnvironmentVariable("AWS_SESSION_TOKEN");
+
+    let credentials = fields?.credentials;
+    if (credentials === undefined) {
+      if (awsAccessKeyId === undefined || awsSecretAccessKey === undefined) {
+        throw new Error(
+          "Please set your AWS credentials in the 'credentials' field or set env vars AWS_ACCESS_KEY_ID and AWS_SECRET_ACCESS_KEY, and optionally AWS_SESSION_TOKEN."
+        );
+      }
+      credentials = {
+        accessKeyId: awsAccessKeyId,
+        secretAccessKey: awsSecretAccessKey,
+        sessionToken: awsSessionToken,
+      };
+    }
+
+    // eslint-disable-next-line no-param-reassign
+    fields = { ...fields, awsAccessKeyId, awsSecretAccessKey, awsSessionToken };
+
+    super(fields);
 
     this.model = fields?.model ?? this.model;
     this.modelProvider = getModelProvider(this.model);
@@ -585,12 +620,6 @@ export class BedrockChat
     }
     this.region = region;
 
-    const credentials = fields?.credentials;
-    if (!credentials) {
-      throw new Error(
-        "Please set the AWS credentials in the 'credentials' field."
-      );
-    }
     this.credentials = credentials;
 
     this.temperature = fields?.temperature ?? this.temperature;
diff --git a/libs/langchain-community/src/chat_models/tests/chatbedrock.test.ts b/libs/langchain-community/src/chat_models/tests/chatbedrock.test.ts
index 4caba4ee3a5c..666daca6fc68 100644
--- a/libs/langchain-community/src/chat_models/tests/chatbedrock.test.ts
+++ b/libs/langchain-community/src/chat_models/tests/chatbedrock.test.ts
@@ -26,3 +26,34 @@ test("Test Bedrock identifying params", async () => {
     model,
   });
 });
+
+test("Test Bedrock serialization", async () => {
+  delete process.env.AWS_ACCESS_KEY_ID;
+  delete process.env.AWS_SECRET_ACCESS_KEY;
+  const bedrock = new BedrockChat({
+    region: "us-west-2",
+    model: "anthropic.claude-3-sonnet-20240229-v1:0",
+    credentials: {
+      accessKeyId: "unused",
+      secretAccessKey: "unused",
+      sessionToken: "unused",
+    },
+  });
+
+  expect(JSON.stringify(bedrock)).toEqual(
+    `{"lc":1,"type":"constructor","id":["langchain","chat_models","bedrock","BedrockChat"],"kwargs":{"region_name":"us-west-2","model_id":"anthropic.claude-3-sonnet-20240229-v1:0","credentials":{"accessKeyId":{"lc":1,"type":"secret","id":["AWS_ACCESS_KEY_ID"]},"secretAccessKey":{"lc":1,"type":"secret","id":["AWS_SECRET_ACCESS_KEY"]},"sessionToken":{"lc":1,"type":"secret","id":["AWS_SECRET_ACCESS_KEY"]}}}}`
+  );
+});
+
+test("Test Bedrock serialization from environment variables", async () => {
+  process.env.AWS_ACCESS_KEY_ID = "foo";
+  process.env.AWS_SECRET_ACCESS_KEY = "bar";
+  const bedrock = new BedrockChat({
+    region: "us-west-2",
+    model: "anthropic.claude-3-sonnet-20240229-v1:0",
+  });
+
+  expect(JSON.stringify(bedrock)).toEqual(
+    `{"lc":1,"type":"constructor","id":["langchain","chat_models","bedrock","BedrockChat"],"kwargs":{"region_name":"us-west-2","model_id":"anthropic.claude-3-sonnet-20240229-v1:0","aws_access_key_id":{"lc":1,"type":"secret","id":["AWS_ACCESS_KEY_ID"]},"aws_secret_access_key":{"lc":1,"type":"secret","id":["AWS_SECRET_ACCESS_KEY"]},"credentials":{"accessKeyId":{"lc":1,"type":"secret","id":["AWS_ACCESS_KEY_ID"]},"secretAccessKey":{"lc":1,"type":"secret","id":["AWS_SECRET_ACCESS_KEY"]}}}}`
+  );
+});
diff --git a/libs/langchain-community/src/utils/bedrock/index.ts b/libs/langchain-community/src/utils/bedrock/index.ts
index 551787dbe6d5..9b3203e8ce76 100644
--- a/libs/langchain-community/src/utils/bedrock/index.ts
+++ b/libs/langchain-community/src/utils/bedrock/index.ts
@@ -168,6 +168,12 @@ export interface BaseBedrockInput {
     tagSuffix: string;
     streamProcessingMode: "SYNCHRONOUS" | "ASYNCHRONOUS";
   };
+
+  awsAccessKeyId?: string;
+
+  awsSecretAccessKey?: string;
+
+  awsSessionToken?: string;
 }
 
 type Dict = { [key: string]: unknown };

From 421bcf2db286ed93e5167a8c552deb3b8f08ca42 Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Tue, 24 Sep 2024 23:29:07 -0700
Subject: [PATCH 246/344] chore(community): Release 0.3.3 (#6880)

---
 libs/langchain-community/package.json | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/libs/langchain-community/package.json b/libs/langchain-community/package.json
index 56b0a4099ea2..230125174b09 100644
--- a/libs/langchain-community/package.json
+++ b/libs/langchain-community/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/community",
-  "version": "0.3.2",
+  "version": "0.3.3",
   "description": "Third-party integrations for LangChain.js",
   "type": "module",
   "engines": {

From ab1375af39d76f37025c480572d974d79e7b4819 Mon Sep 17 00:00:00 2001
From: iamNarcisse <43097772+iamNarcisse@users.noreply.github.com>
Date: Fri, 27 Sep 2024 22:06:57 +0100
Subject: [PATCH 247/344] jigsawstack[major]: Add Jigsawtack Integration Docs
 (#6767)

Co-authored-by: Yoeven D Khemlani <yoevenkhem@gmail.com>
Co-authored-by: jacoblee93 <jacoblee93@gmail.com>
---
 .../docs/integrations/llms/jigsawstack.mdx    |  38 ++++
 .../docs/integrations/tools/jigsawstack.mdx   | 163 ++++++++++++++++++
 2 files changed, 201 insertions(+)
 create mode 100644 docs/core_docs/docs/integrations/llms/jigsawstack.mdx
 create mode 100644 docs/core_docs/docs/integrations/tools/jigsawstack.mdx

diff --git a/docs/core_docs/docs/integrations/llms/jigsawstack.mdx b/docs/core_docs/docs/integrations/llms/jigsawstack.mdx
new file mode 100644
index 000000000000..717df11087ac
--- /dev/null
+++ b/docs/core_docs/docs/integrations/llms/jigsawstack.mdx
@@ -0,0 +1,38 @@
+# JigsawStack Prompt Engine
+
+LangChain.js supports calling JigsawStack [Prompt Engine](https://docs.jigsawstack.com/api-reference/prompt-engine/run-direct) LLMs.
+
+## Setup
+
+- Set up an [account](https://jigsawstack.com/dashboard) (Get started for free)
+- Create and retrieve your [API key](https://jigsawstack.com/dashboard)
+
+## Credentials
+
+```bash
+export JIGSAWSTACK_API_KEY="your-api-key"
+```
+
+## Usage
+
+import IntegrationInstallTooltip from "@mdx_components/integration_install_tooltip.mdx";
+
+<IntegrationInstallTooltip></IntegrationInstallTooltip>
+
+```bash npm2yarn
+npm install @langchain/jigsawstack
+```
+
+import CodeBlock from "@theme/CodeBlock";
+
+```ts
+import { JigsawStackPromptEngine } from "@langchain/jigsawstack";
+
+export const run = async () => {
+  const model = new JigsawStackPromptEngine();
+  const res = await model.invoke(
+    "Tell me about the leaning tower of pisa?\nAnswer:"
+  );
+  console.log({ res });
+};
+```
diff --git a/docs/core_docs/docs/integrations/tools/jigsawstack.mdx b/docs/core_docs/docs/integrations/tools/jigsawstack.mdx
new file mode 100644
index 000000000000..9c96f4c4792c
--- /dev/null
+++ b/docs/core_docs/docs/integrations/tools/jigsawstack.mdx
@@ -0,0 +1,163 @@
+---
+hide_table_of_contents: true
+---
+
+import CodeBlock from "@theme/CodeBlock";
+
+# JigsawStack Tool
+
+The JigsawStack Tool provides your agent with the following capabilities:
+
+- JigsawStackAIScrape: Scrape web content using advanced AI.
+
+- JigsawStackAISearch: Perform AI-powered web searches and retrieve high-quality results.
+
+- JigsawStackSpeechToText - Transcribe video and audio files using the Whisper large V3 AI model.
+
+- JigsawStackVOCR - Recognize, describe, and extract data from images using a prompt.
+
+- JigsawStackTextToSQL - Generate semantically correct SQL queries from text.
+
+## Setup
+
+- Set up an [account](https://jigsawstack.com/dashboard) (Get started for free)
+- Create and retrieve your [API key](https://jigsawstack.com/dashboard)
+
+## Credentials
+
+```bash
+export JIGSAWSTACK_API_KEY="your-api-key"
+```
+
+## Usage, standalone
+
+import IntegrationInstallTooltip from "@mdx_components/integration_install_tooltip.mdx";
+
+<IntegrationInstallTooltip></IntegrationInstallTooltip>
+
+```bash npm2yarn
+npm install @langchain/openai
+```
+
+```js
+import {
+  JigsawStackAIScrape,
+  JigsawStackAISearch,
+  JigsawStackSpeechToText,
+  JigsawStackVOCR,
+  JigsawStackTextToSQL,
+} from "@langchain/jigsawstack";
+
+export const run = async () => {
+  // AI Scrape Tool
+  const aiScrapeTool = new JigsawStackAIScrape({
+    params: {
+      element_prompts: ["Pro plan"],
+    },
+  });
+  const result = await aiScrapeTool.invoke("https://jigsawstack.com/pricing");
+
+  console.log({ result });
+
+  // AI Search Tool
+
+  const aiSearchTool = new JigsawStackAISearch();
+  const doc = await aiSearchTool.invoke("The leaning tower of pisa");
+  console.log({ doc });
+
+  // VOCR Tool
+
+  const vocrTool = new JigsawStackVOCR({
+    params: {
+      prompt: "Describe the image in detail",
+    },
+  });
+  const data = await vocrTool.invoke(
+    "https://rogilvkqloanxtvjfrkm.supabase.co/storage/v1/object/public/demo/Collabo%201080x842.jpg?t=2024-03-22T09%3A22%3A48.442Z"
+  );
+
+  console.log({ data });
+
+  // Speech-to-Text Tool
+  const sttTool = new JigsawStackSpeechToText();
+  await sttTool.invoke(
+    "https://rogilvkqloanxtvjfrkm.supabase.co/storage/v1/object/public/demo/Video%201737458382653833217.mp4?t=2024-03-22T09%3A50%3A49.894"
+  );
+
+  // Text-to-SQL Tool
+  const sqlTool = new JigsawStackTextToSQL({
+    params: {
+      sql_schema:
+        "CREATE TABLE Transactions (transaction_id INT PRIMARY KEY, user_id INT NOT NULL,total_amount DECIMAL(10, 2 NOT NULL, transaction_date TIMESTAMP DEFAULT CURRENT_TIMESTAMP,status VARCHAR(20) DEFAULT 'pending',FOREIGN KEY(user_id) REFERENCES Users(user_id))",
+    },
+  });
+
+  await sqlTool.invoke(
+    "Generate a query to get transactions that amount exceed 10000 and sort by when created"
+  );
+};
+```
+
+## Usage, in an Agent
+
+```js
+import { ChatOpenAI } from "@langchain/openai";
+import { initializeAgentExecutorWithOptions } from "langchain/agents";
+import {
+  JigsawStackAIScrape,
+  JigsawStackAISearch,
+  JigsawStackVOCR,
+  JigsawStackSpeechToText,
+  JigsawStackTextToSQL,
+} from "@langchain/jigsawstack";
+
+const model = new ChatOpenAI({
+  temperature: 0,
+});
+
+//  add the tools that you need
+const tools = [
+  new JigsawStackAIScrape(),
+  new JigsawStackAISearch(),
+  new JigsawStackVOCR(),
+  new JigsawStackSpeechToText(),
+  new JigsawStackTextToSQL(),
+];
+
+const executor = await initializeAgentExecutorWithOptions(tools, model, {
+  agentType: "zero-shot-react-description",
+  verbose: true,
+});
+
+const res = await executor.invoke({
+  input: `Kokkalo Restaurant Santorini`,
+});
+
+console.log(res.output);
+
+/*
+{
+  "query": "Kokkalo Restaurant Santorini",
+  "ai_overview": "Kokkalo Restaurant, located in Fira, Santorini, offers a unique dining experience that blends traditional Greek cuisine with modern culinary trends. Here are some key details about the restaurant:\n\n- **Location**: Situated on the main road of Firostefani, Kokkalo is surrounded by the picturesque Cycladic architecture and provides stunning views of the Aegean Sea.\n- **Cuisine**: The restaurant specializes in authentic Greek dishes, crafted from high-quality, locally sourced ingredients. The menu is designed to engage all senses and features a variety of Mediterranean flavors.\n- **Ambiance**: Kokkalo boasts a chic and modern décor, creating a welcoming atmosphere for guests. The staff is known for their professionalism and attentiveness, enhancing the overall dining experience.\n- **Culinary Experience**: The name \"Kokkalo,\" meaning \"bone\" in Greek, symbolizes the strong foundation of the restaurant's culinary philosophy. Guests can expect a bold and unforgettable culinary journey.\n- **Cooking Classes**: Kokkalo also offers cooking lessons, allowing visitors to learn how to prepare traditional Greek dishes, providing a unique souvenir of their time in Santorini.\n- **Contact Information**: \n  - Address: 25 Martiou str, Fira, Santorini 84 700, Cyclades, Greece\n  - Phone: +30 22860 25407\n  - Email: reservation@kokkalosantorini.com\n\nFor more information, you can visit their [official website](https://www.santorini-view.com/restaurants/kokkalo-restaurant/) or their [Facebook page](https://www.facebook.com/kokkalorestaurant/).",
+  "is_safe": true,
+  "results": [
+    {
+      "title": "Kokkalo restaurant, Restaurants in Firostefani Santorini Greece",
+      "url": "http://www.travel-to-santorini.com/restaurants/firostefani/thebonerestaurant/",
+      "description": "Details Contact : George Grafakos Address : Firostefani, Opposite of Fira Primary School Zipcode : 84700 City : Santorni Phone : +30 22860 25407 Send an email",
+      "content": null,
+      "site_name": "Travel-to-santorini",
+      "site_long_name": "travel-to-santorini.com",
+      "language": "en",
+      "is_safe": true,
+      "favicon": "https://t1.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=http://travel-to-santorini.com&size=96"
+    }
+  ]
+}
+*/
+```
+
+## Related
+
+- Tool [conceptual guide](/docs/concepts/#tools)
+- Tool [how-to guides](/docs/how_to/#tools)

From 839430358686d2b84fefafa4b6cbfea4a8ad4054 Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Sat, 28 Sep 2024 03:38:05 -0700
Subject: [PATCH 248/344] feat(build): Allow entrypoint side-effect escape
 hatch for non-entrypoint files (#6895)

---
 libs/langchain-scripts/package.json       |  2 +-
 libs/langchain-scripts/src/build/index.ts | 65 ++++++++++++++++-------
 2 files changed, 48 insertions(+), 19 deletions(-)

diff --git a/libs/langchain-scripts/package.json b/libs/langchain-scripts/package.json
index ffea6eb6d6f1..c64e1365c33f 100644
--- a/libs/langchain-scripts/package.json
+++ b/libs/langchain-scripts/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/scripts",
-  "version": "0.1.2",
+  "version": "0.1.3",
   "description": "Shared scripts for LangChain.js",
   "type": "module",
   "engines": {
diff --git a/libs/langchain-scripts/src/build/index.ts b/libs/langchain-scripts/src/build/index.ts
index f224d3678383..ce4ef18b937e 100644
--- a/libs/langchain-scripts/src/build/index.ts
+++ b/libs/langchain-scripts/src/build/index.ts
@@ -465,8 +465,11 @@ function listEntrypoints(packageJson: Record<string, any>) {
  * @param {string} entrypoint
  * @returns {Promise<boolean>} Whether or not the file has side effects which are explicitly marked as allowed.
  */
-const checkAllowSideEffects = async (entrypoint: string): Promise<boolean> => {
-  let entrypointContent: Buffer | undefined;
+const checkAllowSideEffects = async (
+  entrypoint: string,
+  filename?: string
+): Promise<boolean> => {
+  let entrypointContent;
   try {
     entrypointContent = await fs.promises.readFile(`./dist/${entrypoint}.js`);
     // eslint-disable-next-line @typescript-eslint/no-explicit-any
@@ -476,16 +479,28 @@ const checkAllowSideEffects = async (entrypoint: string): Promise<boolean> => {
       entrypointContent = await fs.promises.readFile(
         `./dist/${entrypoint}/index.js`
       );
+    } else {
+      entrypointContent = Buffer.from("");
     }
   }
 
+  let fileContent;
+  try {
+    fileContent = await fs.promises.readFile(`./${filename}`);
+  } catch (e) {
+    fileContent = Buffer.from("");
+  }
+
   // Allow escaping side effects strictly within code directly
   // within an entrypoint
-  return entrypointContent
-    ? entrypointContent
-        .toString()
-        .includes("/* __LC_ALLOW_ENTRYPOINT_SIDE_EFFECTS__ */")
-    : false;
+  return (
+    entrypointContent
+      .toString()
+      .includes("/* __LC_ALLOW_ENTRYPOINT_SIDE_EFFECTS__ */") ||
+    fileContent
+      .toString()
+      .includes("/* __LC_ALLOW_ENTRYPOINT_SIDE_EFFECTS__ */")
+  );
 };
 
 async function checkTreeShaking(config: LangChainConfig) {
@@ -499,12 +514,14 @@ async function checkTreeShaking(config: LangChainConfig) {
   const reportMap = new Map();
 
   for (const entrypoint of entrypoints) {
-    let sideEffects = "";
+    const sideEffects: { log: string; filename?: string }[] = [];
 
     console.info = function (...args) {
       const line = args.length ? args.join(" ") : "";
       if (line.includes("First side effect in")) {
-        sideEffects += `${line}\n`;
+        const match = line.match(/First side effect in (.+?) is at/);
+        const filename = match ? match[1] : undefined;
+        sideEffects.push({ log: `${line}\n`, filename });
       }
     };
 
@@ -514,17 +531,29 @@ async function checkTreeShaking(config: LangChainConfig) {
       experimentalLogSideEffects: true,
     });
 
-    let hasUnexpectedSideEffects = sideEffects.length > 0;
-    if (hasUnexpectedSideEffects) {
-      // Map the entrypoint back to the actual file entrypoint using the LangChainConfig file
-      const actualEntrypoint =
-        config.entrypoints[entrypoint.replace(/^\.\/|\.js$/g, "")];
-      hasUnexpectedSideEffects = !(await checkAllowSideEffects(
-        actualEntrypoint
-      ));
+    let hasUnexpectedSideEffects = false;
+    for (const sideEffect of sideEffects) {
+      if (sideEffect.filename) {
+        // Map the entrypoint back to the actual file entrypoint using the LangChainConfig file
+        const actualEntrypoint =
+          config.entrypoints[entrypoint.replace(/^\.\/|\.js$/g, "")];
+        const allowSideEffects = await checkAllowSideEffects(
+          actualEntrypoint,
+          sideEffect.filename
+        );
+        if (!allowSideEffects) {
+          hasUnexpectedSideEffects = true;
+          break;
+        }
+      } else {
+        // If we can't determine the filename, we'll consider it an unexpected side effect
+        hasUnexpectedSideEffects = true;
+        break;
+      }
     }
+
     reportMap.set(entrypoint, {
-      log: sideEffects,
+      log: sideEffects.map(({ log }) => log).join(""),
       hasUnexpectedSideEffects,
     });
   }

From 644a049a13125cdaf313e6f40b14f090ff1260d7 Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Sun, 29 Sep 2024 19:19:29 -0700
Subject: [PATCH 249/344] feat(core): Allow more types of inputs in prompt
 templates (#6894)

---
 langchain-core/src/prompts/prompt.ts          |  3 +-
 langchain-core/src/prompts/template.ts        | 11 +++-
 langchain-core/src/prompts/tests/chat.test.ts | 64 +++++++++++++++++++
 .../src/prompts/tests/prompt.test.ts          | 13 ++++
 4 files changed, 87 insertions(+), 4 deletions(-)

diff --git a/langchain-core/src/prompts/prompt.ts b/langchain-core/src/prompts/prompt.ts
index 998715895141..2ef8e9263ae9 100644
--- a/langchain-core/src/prompts/prompt.ts
+++ b/langchain-core/src/prompts/prompt.ts
@@ -84,7 +84,8 @@ type ExtractTemplateParamsRecursive<
 export type ParamsFromFString<T extends string> = {
   [Key in
     | ExtractTemplateParamsRecursive<T>[number]
-    | (string & Record<never, never>)]: string;
+    // eslint-disable-next-line @typescript-eslint/no-explicit-any
+    | (string & Record<never, never>)]: any;
 };
 
 export type ExtractedFStringParams<
diff --git a/langchain-core/src/prompts/template.ts b/langchain-core/src/prompts/template.ts
index 2188ba1f870f..e6ddb98c087e 100644
--- a/langchain-core/src/prompts/template.ts
+++ b/langchain-core/src/prompts/template.ts
@@ -106,17 +106,22 @@ export const parseMustache = (template: string) => {
   return mustacheTemplateToNodes(parsed);
 };
 
-export const interpolateFString = (template: string, values: InputValues) =>
-  parseFString(template).reduce((res, node) => {
+export const interpolateFString = (template: string, values: InputValues) => {
+  return parseFString(template).reduce((res, node) => {
     if (node.type === "variable") {
       if (node.name in values) {
-        return res + values[node.name];
+        const stringValue =
+          typeof values[node.name] === "string"
+            ? values[node.name]
+            : JSON.stringify(values[node.name]);
+        return res + stringValue;
       }
       throw new Error(`(f-string) Missing value for input ${node.name}`);
     }
 
     return res + node.text;
   }, "");
+};
 
 export const interpolateMustache = (template: string, values: InputValues) => {
   configureMustache();
diff --git a/langchain-core/src/prompts/tests/chat.test.ts b/langchain-core/src/prompts/tests/chat.test.ts
index b3fc38958ddc..26b44f1a4f44 100644
--- a/langchain-core/src/prompts/tests/chat.test.ts
+++ b/langchain-core/src/prompts/tests/chat.test.ts
@@ -15,6 +15,7 @@ import {
   ChatMessage,
   FunctionMessage,
 } from "../../messages/index.js";
+import { Document } from "../../documents/document.js";
 
 function createChatPromptTemplate() {
   const systemPrompt = new PromptTemplate({
@@ -129,6 +130,23 @@ test("Test fromTemplate", async () => {
   ]);
 });
 
+test("Test fromTemplate", async () => {
+  const chatPrompt = ChatPromptTemplate.fromTemplate("Hello {foo}, I'm {bar}");
+  expect(chatPrompt.inputVariables).toEqual(["foo", "bar"]);
+  expect(
+    (
+      await chatPrompt.invoke({
+        foo: ["barbar"],
+        bar: [new Document({ pageContent: "bar" })],
+      })
+    ).toChatMessages()
+  ).toEqual([
+    new HumanMessage(
+      `Hello ["barbar"], I'm [{"pageContent":"bar","metadata":{}}]`
+    ),
+  ]);
+});
+
 test("Test fromMessages", async () => {
   const systemPrompt = new PromptTemplate({
     template: "Here's some context: {context}",
@@ -155,6 +173,34 @@ test("Test fromMessages", async () => {
   ]);
 });
 
+test("Test fromMessages with non-string inputs", async () => {
+  const systemPrompt = new PromptTemplate({
+    template: "Here's some context: {context}",
+    inputVariables: ["context"],
+  });
+  const userPrompt = new PromptTemplate({
+    template: "Hello {foo}, I'm {bar}",
+    inputVariables: ["foo", "bar"],
+  });
+  // TODO: Fix autocomplete for the fromMessages method
+  const chatPrompt = ChatPromptTemplate.fromMessages([
+    new SystemMessagePromptTemplate(systemPrompt),
+    new HumanMessagePromptTemplate(userPrompt),
+  ]);
+  expect(chatPrompt.inputVariables).toEqual(["context", "foo", "bar"]);
+  const messages = await chatPrompt.formatPromptValue({
+    context: [new Document({ pageContent: "bar" })],
+    foo: "Foo",
+    bar: "Bar",
+  });
+  expect(messages.toChatMessages()).toEqual([
+    new SystemMessage(
+      `Here's some context: [{"pageContent":"bar","metadata":{}}]`
+    ),
+    new HumanMessage("Hello Foo, I'm Bar"),
+  ]);
+});
+
 test("Test fromMessages with a variety of ways to declare prompt messages", async () => {
   const systemPrompt = new PromptTemplate({
     template: "Here's some context: {context}",
@@ -306,6 +352,24 @@ test("Test MessagesPlaceholder not optional", async () => {
   );
 });
 
+test("Test MessagesPlaceholder not optional with invalid input should throw", async () => {
+  const prompt = new MessagesPlaceholder({
+    variableName: "foo",
+  });
+  const badInput = [new Document({ pageContent: "barbar", metadata: {} })];
+  await expect(
+    prompt.formatMessages({
+      foo: [new Document({ pageContent: "barbar", metadata: {} })],
+    })
+  ).rejects.toThrow(
+    `Field "foo" in prompt uses a MessagesPlaceholder, which expects an array of BaseMessages or coerceable values as input.\n\nReceived value: ${JSON.stringify(
+      badInput,
+      null,
+      2
+    )}\n\nAdditional message: Unable to coerce message from array: only human, AI, or system message coercion is currently supported.`
+  );
+});
+
 test("Test MessagesPlaceholder shorthand in a chat prompt template should throw for invalid syntax", async () => {
   expect(() =>
     ChatPromptTemplate.fromMessages([["placeholder", "foo"]])
diff --git a/langchain-core/src/prompts/tests/prompt.test.ts b/langchain-core/src/prompts/tests/prompt.test.ts
index 3d7e30e16436..e5902c447401 100644
--- a/langchain-core/src/prompts/tests/prompt.test.ts
+++ b/langchain-core/src/prompts/tests/prompt.test.ts
@@ -1,5 +1,6 @@
 import { expect, test } from "@jest/globals";
 import { PromptTemplate } from "../prompt.js";
+import { Document } from "../../documents/document.js";
 
 test("Test using partial", async () => {
   const prompt = new PromptTemplate({
@@ -26,6 +27,18 @@ test("Test fromTemplate", async () => {
   ).toBe("foobaz");
 });
 
+test("Test fromTemplate with a non-string value", async () => {
+  const prompt = PromptTemplate.fromTemplate("{foo}{bar}");
+  expect(
+    (
+      await prompt.invoke({
+        foo: ["barbar"],
+        bar: [new Document({ pageContent: "bar" })],
+      })
+    ).value
+  ).toBe(`["barbar"][{"pageContent":"bar","metadata":{}}]`);
+});
+
 test("Test fromTemplate with escaped strings", async () => {
   const prompt = PromptTemplate.fromTemplate("{{foo}}{{bar}}");
   expect(await prompt.format({ unused: "eee" })).toBe("{foo}{bar}");

From 287a70bff39c22835f1cfa6a891eaaa41a25dd0d Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Sun, 29 Sep 2024 19:26:12 -0700
Subject: [PATCH 250/344] chore(core): Release 0.3.4 (#6896)

---
 langchain-core/package.json | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/langchain-core/package.json b/langchain-core/package.json
index 61d7c684559f..12588d055f64 100644
--- a/langchain-core/package.json
+++ b/langchain-core/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/core",
-  "version": "0.3.3",
+  "version": "0.3.4",
   "description": "Core LangChain.js abstractions and schemas",
   "type": "module",
   "engines": {

From 4d1312c3ac36e4fb3adb7beb7606fb9d4031ef39 Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Mon, 30 Sep 2024 13:29:44 -0700
Subject: [PATCH 251/344] fix(ci): Fix npm community install test (#6900)

---
 .../community/node/update_resolutions_npm.js  |   4 +-
 .../community/npm-install.sh                  |   5 +-
 .../docs/integrations/llms/raycast.mdx        |  13 +-
 .../integrations/vectorstores/couchbase.mdx   |  72 +++++-
 examples/package.json                         |   2 -
 .../couchbase/similaritySearch.ts             |  67 -----
 examples/src/models/llm/raycast.ts            |  28 ---
 libs/langchain-community/package.json         |  12 +-
 .../src/chat_models/llama_cpp.ts              |   1 +
 .../src/document_loaders/web/couchbase.ts     |   1 +
 .../src/embeddings/llama_cpp.ts               |   1 +
 .../langchain-community/src/llms/llama_cpp.ts |   1 +
 libs/langchain-community/src/llms/raycast.ts  |   6 +-
 .../src/utils/llama_cpp.ts                    |   1 +
 .../src/vectorstores/couchbase.ts             |   1 +
 yarn.lock                                     | 230 ++++++++++--------
 16 files changed, 232 insertions(+), 213 deletions(-)
 delete mode 100644 examples/src/indexes/vector_stores/couchbase/similaritySearch.ts
 delete mode 100644 examples/src/models/llm/raycast.ts

diff --git a/dependency_range_tests/scripts/with_standard_tests/community/node/update_resolutions_npm.js b/dependency_range_tests/scripts/with_standard_tests/community/node/update_resolutions_npm.js
index 9a80bc65bade..0833d484b46c 100644
--- a/dependency_range_tests/scripts/with_standard_tests/community/node/update_resolutions_npm.js
+++ b/dependency_range_tests/scripts/with_standard_tests/community/node/update_resolutions_npm.js
@@ -3,8 +3,8 @@ const fs = require("fs");
 const communityPackageJsonPath = "/app/monorepo/libs/langchain-community/package.json";
 const currentPackageJson = JSON.parse(fs.readFileSync(communityPackageJsonPath));
 
-if (currentPackageJson.devDependencies["@langchain/core"]) {
-  delete currentPackageJson.devDependencies["@langchain/core"];
+if (currentPackageJson.devDependencies) {
+  delete currentPackageJson.devDependencies;
 }
 
 fs.writeFileSync(communityPackageJsonPath, JSON.stringify(currentPackageJson, null, 2));
diff --git a/dependency_range_tests/scripts/with_standard_tests/community/npm-install.sh b/dependency_range_tests/scripts/with_standard_tests/community/npm-install.sh
index 4e33fae2dd58..1f66fd5c5448 100644
--- a/dependency_range_tests/scripts/with_standard_tests/community/npm-install.sh
+++ b/dependency_range_tests/scripts/with_standard_tests/community/npm-install.sh
@@ -25,6 +25,5 @@ node "update_resolutions_npm.js"
 
 # Navigate back to monorepo root and install dependencies
 cd "$monorepo_dir"
-npm install @langchain/core
-npm install
-
+npm install @langchain/core --production
+npm install --production
diff --git a/docs/core_docs/docs/integrations/llms/raycast.mdx b/docs/core_docs/docs/integrations/llms/raycast.mdx
index 20df4bdfdee6..12ec3de9d69f 100644
--- a/docs/core_docs/docs/integrations/llms/raycast.mdx
+++ b/docs/core_docs/docs/integrations/llms/raycast.mdx
@@ -17,9 +17,18 @@ npm install @langchain/community @langchain/core
 ```
 
 import CodeBlock from "@theme/CodeBlock";
-import RaycastAIExample from "@examples/models/llm/raycast.ts";
 
-<CodeBlock language="typescript">{RaycastAIExample}</CodeBlock>
+```ts
+import { RaycastAI } from "@langchain/community/llms/raycast";
+
+import { Tool } from "@langchain/core/tools";
+
+const model = new RaycastAI({
+  rateLimitPerMinute: 10, // It is 10 by default so you can omit this line
+  model: "<model_name>",
+  creativity: 0, // `creativity` is a term used by Raycast which is equivalent to `temperature` in some other LLMs
+});
+```
 
 ## Related
 
diff --git a/docs/core_docs/docs/integrations/vectorstores/couchbase.mdx b/docs/core_docs/docs/integrations/vectorstores/couchbase.mdx
index 912638369b7b..d02eba470fba 100644
--- a/docs/core_docs/docs/integrations/vectorstores/couchbase.mdx
+++ b/docs/core_docs/docs/integrations/vectorstores/couchbase.mdx
@@ -178,11 +178,77 @@ chunk the text into 500 character chunks with no overlaps and index all these ch
 
 After the data is indexed, we perform a simple query to find the top 4 chunks that are similar to the
 query "What did president say about Ketanji Brown Jackson".
-At the emd, also shows how to get similarity score
+At the end, it also shows how to get similarity score
+
+```ts
+import { OpenAIEmbeddings } from "@langchain/openai";
+import {
+  CouchbaseVectorStoreArgs,
+  CouchbaseVectorStore,
+} from "@langchain/community/vectorstores/couchbase";
+import { Cluster } from "couchbase";
+import { TextLoader } from "langchain/document_loaders/fs/text";
+import { CharacterTextSplitter } from "@langchain/textsplitters";
+
+const connectionString =
+  process.env.COUCHBASE_DB_CONN_STR ?? "couchbase://localhost";
+const databaseUsername = process.env.COUCHBASE_DB_USERNAME ?? "Administrator";
+const databasePassword = process.env.COUCHBASE_DB_PASSWORD ?? "Password";
+
+// Load documents from file
+const loader = new TextLoader("./state_of_the_union.txt");
+const rawDocuments = await loader.load();
+const splitter = new CharacterTextSplitter({
+  chunkSize: 500,
+  chunkOverlap: 0,
+});
+const docs = await splitter.splitDocuments(rawDocuments);
+
+const couchbaseClient = await Cluster.connect(connectionString, {
+  username: databaseUsername,
+  password: databasePassword,
+  configProfile: "wanDevelopment",
+});
+
+// Open AI API Key is required to use OpenAIEmbeddings, some other embeddings may also be used
+const embeddings = new OpenAIEmbeddings({
+  apiKey: process.env.OPENAI_API_KEY,
+});
+
+const couchbaseConfig: CouchbaseVectorStoreArgs = {
+  cluster: couchbaseClient,
+  bucketName: "testing",
+  scopeName: "_default",
+  collectionName: "_default",
+  indexName: "vector-index",
+  textKey: "text",
+  embeddingKey: "embedding",
+};
+
+const store = await CouchbaseVectorStore.fromDocuments(
+  docs,
+  embeddings,
+  couchbaseConfig
+);
 
-import SimilaritySearch from "@examples/indexes/vector_stores/couchbase/similaritySearch.ts";
+const query = "What did president say about Ketanji Brown Jackson";
 
-<CodeBlock language="typescript">{SimilaritySearch}</CodeBlock>
+const resultsSimilaritySearch = await store.similaritySearch(query);
+console.log("resulting documents: ", resultsSimilaritySearch[0]);
+
+// Similarity Search With Score
+const resultsSimilaritySearchWithScore = await store.similaritySearchWithScore(
+  query,
+  1
+);
+console.log("resulting documents: ", resultsSimilaritySearchWithScore[0][0]);
+console.log("resulting scores: ", resultsSimilaritySearchWithScore[0][1]);
+
+const result = await store.similaritySearch(query, 1, {
+  fields: ["metadata.source"],
+});
+console.log(result[0]);
+```
 
 ## Specifying Fields to Return
 
diff --git a/examples/package.json b/examples/package.json
index ffe6a62dc799..6f594a800c2a 100644
--- a/examples/package.json
+++ b/examples/package.json
@@ -68,7 +68,6 @@
     "@planetscale/database": "^1.8.0",
     "@prisma/client": "^4.11.0",
     "@qdrant/js-client-rest": "^1.9.0",
-    "@raycast/api": "^1.55.2",
     "@rockset/client": "^0.9.1",
     "@supabase/supabase-js": "^2.45.0",
     "@tensorflow/tfjs-backend-cpu": "^4.4.0",
@@ -80,7 +79,6 @@
     "axios": "^0.26.0",
     "chromadb": "^1.5.3",
     "convex": "^1.3.1",
-    "couchbase": "^4.3.0",
     "date-fns": "^3.3.1",
     "duck-duck-scrape": "^2.2.5",
     "exa-js": "^1.0.12",
diff --git a/examples/src/indexes/vector_stores/couchbase/similaritySearch.ts b/examples/src/indexes/vector_stores/couchbase/similaritySearch.ts
deleted file mode 100644
index 0443c9f241eb..000000000000
--- a/examples/src/indexes/vector_stores/couchbase/similaritySearch.ts
+++ /dev/null
@@ -1,67 +0,0 @@
-import { OpenAIEmbeddings } from "@langchain/openai";
-import {
-  CouchbaseVectorStoreArgs,
-  CouchbaseVectorStore,
-} from "@langchain/community/vectorstores/couchbase";
-import { Cluster } from "couchbase";
-import { TextLoader } from "langchain/document_loaders/fs/text";
-import { CharacterTextSplitter } from "@langchain/textsplitters";
-
-const connectionString =
-  process.env.COUCHBASE_DB_CONN_STR ?? "couchbase://localhost";
-const databaseUsername = process.env.COUCHBASE_DB_USERNAME ?? "Administrator";
-const databasePassword = process.env.COUCHBASE_DB_PASSWORD ?? "Password";
-
-// Load documents from file
-const loader = new TextLoader("./state_of_the_union.txt");
-const rawDocuments = await loader.load();
-const splitter = new CharacterTextSplitter({
-  chunkSize: 500,
-  chunkOverlap: 0,
-});
-const docs = await splitter.splitDocuments(rawDocuments);
-
-const couchbaseClient = await Cluster.connect(connectionString, {
-  username: databaseUsername,
-  password: databasePassword,
-  configProfile: "wanDevelopment",
-});
-
-// Open AI API Key is required to use OpenAIEmbeddings, some other embeddings may also be used
-const embeddings = new OpenAIEmbeddings({
-  apiKey: process.env.OPENAI_API_KEY,
-});
-
-const couchbaseConfig: CouchbaseVectorStoreArgs = {
-  cluster: couchbaseClient,
-  bucketName: "testing",
-  scopeName: "_default",
-  collectionName: "_default",
-  indexName: "vector-index",
-  textKey: "text",
-  embeddingKey: "embedding",
-};
-
-const store = await CouchbaseVectorStore.fromDocuments(
-  docs,
-  embeddings,
-  couchbaseConfig
-);
-
-const query = "What did president say about Ketanji Brown Jackson";
-
-const resultsSimilaritySearch = await store.similaritySearch(query);
-console.log("resulting documents: ", resultsSimilaritySearch[0]);
-
-// Similarity Search With Score
-const resultsSimilaritySearchWithScore = await store.similaritySearchWithScore(
-  query,
-  1
-);
-console.log("resulting documents: ", resultsSimilaritySearchWithScore[0][0]);
-console.log("resulting scores: ", resultsSimilaritySearchWithScore[0][1]);
-
-const result = await store.similaritySearch(query, 1, {
-  fields: ["metadata.source"],
-});
-console.log(result[0]);
diff --git a/examples/src/models/llm/raycast.ts b/examples/src/models/llm/raycast.ts
deleted file mode 100644
index 94eaec66e98a..000000000000
--- a/examples/src/models/llm/raycast.ts
+++ /dev/null
@@ -1,28 +0,0 @@
-import { RaycastAI } from "@langchain/community/llms/raycast";
-
-import { showHUD } from "@raycast/api";
-import { initializeAgentExecutorWithOptions } from "langchain/agents";
-import { Tool } from "@langchain/core/tools";
-
-const model = new RaycastAI({
-  rateLimitPerMinute: 10, // It is 10 by default so you can omit this line
-  model: "gpt-3.5-turbo",
-  creativity: 0, // `creativity` is a term used by Raycast which is equivalent to `temperature` in some other LLMs
-});
-
-const tools: Tool[] = [
-  // Add your tools here
-];
-
-export default async function main() {
-  // Initialize the agent executor with RaycastAI model
-  const executor = await initializeAgentExecutorWithOptions(tools, model, {
-    agentType: "chat-conversational-react-description",
-  });
-
-  const input = `Describe my today's schedule as Gabriel Garcia Marquez would describe it`;
-
-  const answer = await executor.invoke({ input });
-
-  await showHUD(answer.output);
-}
diff --git a/libs/langchain-community/package.json b/libs/langchain-community/package.json
index 230125174b09..43082ed08c99 100644
--- a/libs/langchain-community/package.json
+++ b/libs/langchain-community/package.json
@@ -92,7 +92,7 @@
     "@planetscale/database": "^1.8.0",
     "@premai/prem-sdk": "^0.3.25",
     "@qdrant/js-client-rest": "^1.8.2",
-    "@raycast/api": "^1.55.2",
+    "@raycast/api": "^1.83.1",
     "@rockset/client": "^0.9.1",
     "@smithy/eventstream-codec": "^2.0.5",
     "@smithy/protocol-http": "^3.0.6",
@@ -184,7 +184,7 @@
     "mongodb": "^5.2.0",
     "mysql2": "^3.9.8",
     "neo4j-driver": "^5.17.0",
-    "node-llama-cpp": "2.7.3",
+    "node-llama-cpp": "^2",
     "notion-to-md": "^3.1.0",
     "officeparser": "^4.0.4",
     "pdf-parse": "1.1.1",
@@ -286,7 +286,6 @@
     "closevector-web": "0.1.6",
     "cohere-ai": "*",
     "convex": "^1.3.1",
-    "couchbase": "^4.3.0",
     "crypto-js": "^4.2.0",
     "d3-dsv": "^2.0.0",
     "discord.js": "^14.14.1",
@@ -312,7 +311,6 @@
     "mongodb": ">=5.2.0",
     "mysql2": "^3.9.8",
     "neo4j-driver": "*",
-    "node-llama-cpp": "*",
     "notion-to-md": "^3.1.0",
     "officeparser": "^4.0.4",
     "pdf-parse": "1.1.1",
@@ -549,9 +547,6 @@
     "convex": {
       "optional": true
     },
-    "couchbase": {
-      "optional": true
-    },
     "crypto-js": {
       "optional": true
     },
@@ -627,9 +622,6 @@
     "neo4j-driver": {
       "optional": true
     },
-    "node-llama-cpp": {
-      "optional": true
-    },
     "notion-to-md": {
       "optional": true
     },
diff --git a/libs/langchain-community/src/chat_models/llama_cpp.ts b/libs/langchain-community/src/chat_models/llama_cpp.ts
index 0c1c25f20445..94685dc087df 100644
--- a/libs/langchain-community/src/chat_models/llama_cpp.ts
+++ b/libs/langchain-community/src/chat_models/llama_cpp.ts
@@ -1,3 +1,4 @@
+/* eslint-disable import/no-extraneous-dependencies */
 import {
   LlamaModel,
   LlamaContext,
diff --git a/libs/langchain-community/src/document_loaders/web/couchbase.ts b/libs/langchain-community/src/document_loaders/web/couchbase.ts
index 5b611a6af196..ba5e75985e15 100644
--- a/libs/langchain-community/src/document_loaders/web/couchbase.ts
+++ b/libs/langchain-community/src/document_loaders/web/couchbase.ts
@@ -1,3 +1,4 @@
+/* eslint-disable import/no-extraneous-dependencies */
 import { Cluster, QueryResult } from "couchbase";
 import { Document } from "@langchain/core/documents";
 import {
diff --git a/libs/langchain-community/src/embeddings/llama_cpp.ts b/libs/langchain-community/src/embeddings/llama_cpp.ts
index aad4163ac499..ab0a60cff60b 100644
--- a/libs/langchain-community/src/embeddings/llama_cpp.ts
+++ b/libs/langchain-community/src/embeddings/llama_cpp.ts
@@ -1,3 +1,4 @@
+/* eslint-disable import/no-extraneous-dependencies */
 import { LlamaModel, LlamaContext } from "node-llama-cpp";
 import { Embeddings, type EmbeddingsParams } from "@langchain/core/embeddings";
 import {
diff --git a/libs/langchain-community/src/llms/llama_cpp.ts b/libs/langchain-community/src/llms/llama_cpp.ts
index 249fb0071a7a..e39831299829 100644
--- a/libs/langchain-community/src/llms/llama_cpp.ts
+++ b/libs/langchain-community/src/llms/llama_cpp.ts
@@ -1,3 +1,4 @@
+/* eslint-disable import/no-extraneous-dependencies */
 import {
   LlamaModel,
   LlamaContext,
diff --git a/libs/langchain-community/src/llms/raycast.ts b/libs/langchain-community/src/llms/raycast.ts
index 233a02f00776..4befeb0fbb0d 100644
--- a/libs/langchain-community/src/llms/raycast.ts
+++ b/libs/langchain-community/src/llms/raycast.ts
@@ -53,7 +53,11 @@ export class RaycastAI extends LLM implements RaycastAIInput {
       throw new Error("Raycast AI environment is not accessible.");
     }
 
-    this.model = fields.model ?? "text-davinci-003";
+    if (fields.model === undefined) {
+      throw new Error(`You must provide a "model" field in your params.`);
+    }
+
+    this.model = fields.model;
     this.creativity = fields.creativity ?? 0.5;
     this.rateLimitPerMinute = fields.rateLimitPerMinute ?? 10;
   }
diff --git a/libs/langchain-community/src/utils/llama_cpp.ts b/libs/langchain-community/src/utils/llama_cpp.ts
index 980921d6dcef..3bc37c6861d8 100644
--- a/libs/langchain-community/src/utils/llama_cpp.ts
+++ b/libs/langchain-community/src/utils/llama_cpp.ts
@@ -1,3 +1,4 @@
+/* eslint-disable import/no-extraneous-dependencies */
 import {
   LlamaModel,
   LlamaContext,
diff --git a/libs/langchain-community/src/vectorstores/couchbase.ts b/libs/langchain-community/src/vectorstores/couchbase.ts
index dad489225f29..fdceedae22cf 100644
--- a/libs/langchain-community/src/vectorstores/couchbase.ts
+++ b/libs/langchain-community/src/vectorstores/couchbase.ts
@@ -1,5 +1,6 @@
 /* eslint-disable no-param-reassign */
 /* eslint-disable @typescript-eslint/no-explicit-any */
+/* eslint-disable import/no-extraneous-dependencies */
 import { EmbeddingsInterface } from "@langchain/core/embeddings";
 import { VectorStore } from "@langchain/core/vectorstores";
 import {
diff --git a/yarn.lock b/yarn.lock
index 19c48679f1ee..5c5c5c056200 100644
--- a/yarn.lock
+++ b/yarn.lock
@@ -8627,44 +8627,51 @@ __metadata:
   languageName: node
   linkType: hard
 
-"@couchbase/couchbase-darwin-arm64-napi@npm:4.3.0":
-  version: 4.3.0
-  resolution: "@couchbase/couchbase-darwin-arm64-napi@npm:4.3.0"
+"@couchbase/couchbase-darwin-arm64-napi@npm:4.4.2":
+  version: 4.4.2
+  resolution: "@couchbase/couchbase-darwin-arm64-napi@npm:4.4.2"
   conditions: os=darwin & cpu=arm64
   languageName: node
   linkType: hard
 
-"@couchbase/couchbase-darwin-x64-napi@npm:4.3.0":
-  version: 4.3.0
-  resolution: "@couchbase/couchbase-darwin-x64-napi@npm:4.3.0"
+"@couchbase/couchbase-darwin-x64-napi@npm:4.4.2":
+  version: 4.4.2
+  resolution: "@couchbase/couchbase-darwin-x64-napi@npm:4.4.2"
   conditions: os=darwin & cpu=x64
   languageName: node
   linkType: hard
 
-"@couchbase/couchbase-linux-arm64-napi@npm:4.3.0":
-  version: 4.3.0
-  resolution: "@couchbase/couchbase-linux-arm64-napi@npm:4.3.0"
+"@couchbase/couchbase-linux-arm64-napi@npm:4.4.2":
+  version: 4.4.2
+  resolution: "@couchbase/couchbase-linux-arm64-napi@npm:4.4.2"
   conditions: os=linux & cpu=arm64
   languageName: node
   linkType: hard
 
-"@couchbase/couchbase-linux-x64-napi@npm:4.3.0":
-  version: 4.3.0
-  resolution: "@couchbase/couchbase-linux-x64-napi@npm:4.3.0"
+"@couchbase/couchbase-linux-x64-napi@npm:4.4.2":
+  version: 4.4.2
+  resolution: "@couchbase/couchbase-linux-x64-napi@npm:4.4.2"
   conditions: os=linux & cpu=x64
   languageName: node
   linkType: hard
 
-"@couchbase/couchbase-linuxmusl-x64-napi@npm:4.3.0":
-  version: 4.3.0
-  resolution: "@couchbase/couchbase-linuxmusl-x64-napi@npm:4.3.0"
+"@couchbase/couchbase-linuxmusl-arm64-napi@npm:4.4.2":
+  version: 4.4.2
+  resolution: "@couchbase/couchbase-linuxmusl-arm64-napi@npm:4.4.2"
+  conditions: os=linux & cpu=arm64
+  languageName: node
+  linkType: hard
+
+"@couchbase/couchbase-linuxmusl-x64-napi@npm:4.4.2":
+  version: 4.4.2
+  resolution: "@couchbase/couchbase-linuxmusl-x64-napi@npm:4.4.2"
   conditions: os=linux & cpu=x64
   languageName: node
   linkType: hard
 
-"@couchbase/couchbase-win32-x64-napi@npm:4.3.0":
-  version: 4.3.0
-  resolution: "@couchbase/couchbase-win32-x64-napi@npm:4.3.0"
+"@couchbase/couchbase-win32-x64-napi@npm:4.4.2":
+  version: 4.4.2
+  resolution: "@couchbase/couchbase-win32-x64-napi@npm:4.4.2"
   conditions: os=win32 & cpu=x64
   languageName: node
   linkType: hard
@@ -11472,7 +11479,7 @@ __metadata:
     "@planetscale/database": ^1.8.0
     "@premai/prem-sdk": ^0.3.25
     "@qdrant/js-client-rest": ^1.8.2
-    "@raycast/api": ^1.55.2
+    "@raycast/api": ^1.83.1
     "@rockset/client": ^0.9.1
     "@smithy/eventstream-codec": ^2.0.5
     "@smithy/protocol-http": ^3.0.6
@@ -11570,7 +11577,7 @@ __metadata:
     mongodb: ^5.2.0
     mysql2: ^3.9.8
     neo4j-driver: ^5.17.0
-    node-llama-cpp: 2.7.3
+    node-llama-cpp: ^2
     notion-to-md: ^3.1.0
     officeparser: ^4.0.4
     pdf-parse: 1.1.1
@@ -11674,7 +11681,6 @@ __metadata:
     closevector-web: 0.1.6
     cohere-ai: "*"
     convex: ^1.3.1
-    couchbase: ^4.3.0
     crypto-js: ^4.2.0
     d3-dsv: ^2.0.0
     discord.js: ^14.14.1
@@ -11700,7 +11706,6 @@ __metadata:
     mongodb: ">=5.2.0"
     mysql2: ^3.9.8
     neo4j-driver: "*"
-    node-llama-cpp: "*"
     notion-to-md: ^3.1.0
     officeparser: ^4.0.4
     pdf-parse: 1.1.1
@@ -11866,8 +11871,6 @@ __metadata:
       optional: true
     convex:
       optional: true
-    couchbase:
-      optional: true
     crypto-js:
       optional: true
     d3-dsv:
@@ -11918,8 +11921,6 @@ __metadata:
       optional: true
     neo4j-driver:
       optional: true
-    node-llama-cpp:
-      optional: true
     notion-to-md:
       optional: true
     officeparser:
@@ -14219,25 +14220,27 @@ __metadata:
   languageName: node
   linkType: hard
 
-"@raycast/api@npm:^1.55.2":
-  version: 1.55.2
-  resolution: "@raycast/api@npm:1.55.2"
+"@raycast/api@npm:^1.83.1":
+  version: 1.83.1
+  resolution: "@raycast/api@npm:1.83.1"
   dependencies:
-    "@types/node": 18.8.3
-    "@types/react": 18.0.9
-    react: 18.1.0
-    react-reconciler: 0.28.0
+    "@types/node": ^20.8.10
+    "@types/react": ^18.3.3
+    react: 18.3.1
   peerDependencies:
-    "@types/node": 18.8.3
-    "@types/react": 18.0.9
+    "@types/node": 20.8.10
+    "@types/react": 18.3.3
+    react-devtools: 5.2.0
   peerDependenciesMeta:
     "@types/node":
       optional: true
     "@types/react":
       optional: true
+    react-devtools:
+      optional: true
   bin:
     ray: bin/ray
-  checksum: 1154dc3d02d3ca1a9ee11d638682058464e2c01fb30df43b1f2ef0e6205744f34fcef10a413e16bfc93a08d19d6e569bbe7151660587a0d50c8df074f21c663d
+  checksum: 166ee04610ea90c327da9ea898fec474cd14b9b83e2205447b979edd4d6e36682e6b0121c238a8380439a932e5d6654b63e2afb17ea408c85fe8066f1a8e3070
   languageName: node
   linkType: hard
 
@@ -19095,13 +19098,6 @@ __metadata:
   languageName: node
   linkType: hard
 
-"@types/node@npm:18.8.3":
-  version: 18.8.3
-  resolution: "@types/node@npm:18.8.3"
-  checksum: 9201adc6dc389644c9f478f950ef8926a93e5827865dcd80d7d12fefacab665c96879c87cd6ec74d5eccdd998c4603d02e1e07a35d71a63fe4c20670a381f6ef
-  languageName: node
-  linkType: hard
-
 "@types/node@npm:>=12.12.47, @types/node@npm:>=13.7.0":
   version: 18.15.11
   resolution: "@types/node@npm:18.15.11"
@@ -19164,6 +19160,15 @@ __metadata:
   languageName: node
   linkType: hard
 
+"@types/node@npm:^20.8.10":
+  version: 20.16.10
+  resolution: "@types/node@npm:20.16.10"
+  dependencies:
+    undici-types: ~6.19.2
+  checksum: 8b4d5a0af828871627e80da095df50ef8ae7ca458f39ccde1d060e3bf97b0bc76af9547bd5d75ce4ccb1dd80466804b2fe4f12553c11cb8691c6667effd9a9d7
+  languageName: node
+  linkType: hard
+
 "@types/offscreencanvas@npm:~2019.3.0":
   version: 2019.3.0
   resolution: "@types/offscreencanvas@npm:2019.3.0"
@@ -19353,25 +19358,24 @@ __metadata:
   languageName: node
   linkType: hard
 
-"@types/react@npm:18.0.9":
-  version: 18.0.9
-  resolution: "@types/react@npm:18.0.9"
+"@types/react@npm:^18":
+  version: 18.2.35
+  resolution: "@types/react@npm:18.2.35"
   dependencies:
     "@types/prop-types": "*"
     "@types/scheduler": "*"
     csstype: ^3.0.2
-  checksum: 162364dad716d9017ee34aabf2ea37499709ebbdef70392ae1b39225985971e1a46f121efb9c5c7da92144ee1d96d4525df806a7c1c03a5db7fd31dd034ddc7a
+  checksum: d3f1c39116c82e3a504f3332b9198f94f34a33d8535604434b1e387ecabd41ec995961775e2e1c08feefdde878a5b86220879350900137980d681ae3983db462
   languageName: node
   linkType: hard
 
-"@types/react@npm:^18":
-  version: 18.2.35
-  resolution: "@types/react@npm:18.2.35"
+"@types/react@npm:^18.3.3":
+  version: 18.3.10
+  resolution: "@types/react@npm:18.3.10"
   dependencies:
     "@types/prop-types": "*"
-    "@types/scheduler": "*"
     csstype: ^3.0.2
-  checksum: d3f1c39116c82e3a504f3332b9198f94f34a33d8535604434b1e387ecabd41ec995961775e2e1c08feefdde878a5b86220879350900137980d681ae3983db462
+  checksum: 04261654b5f4bc9584e9d882c7dfd5b36dc58963f958f8c3efd24cb68c9d205bc2d57558a1479b86d7827f0e5116d5bd111791d1253583d1e1c165f0aeb48c48
   languageName: node
   linkType: hard
 
@@ -23021,6 +23025,29 @@ __metadata:
   languageName: node
   linkType: hard
 
+"cmake-js@npm:^7.3.0":
+  version: 7.3.0
+  resolution: "cmake-js@npm:7.3.0"
+  dependencies:
+    axios: ^1.6.5
+    debug: ^4
+    fs-extra: ^11.2.0
+    lodash.isplainobject: ^4.0.6
+    memory-stream: ^1.0.0
+    node-api-headers: ^1.1.0
+    npmlog: ^6.0.2
+    rc: ^1.2.7
+    semver: ^7.5.4
+    tar: ^6.2.0
+    url-join: ^4.0.1
+    which: ^2.0.2
+    yargs: ^17.7.2
+  bin:
+    cmake-js: bin/cmake-js
+  checksum: 9a0da5bde0e4c03879f5835a6bf9e9e28113831a6ce9663917e4463e3056a98470bce4336416f3a0136360b68771031b53cbaf4ae17bd920352d2f2b1a8774c8
+  languageName: node
+  linkType: hard
+
 "cmd-shim@npm:^6.0.0":
   version: 6.0.2
   resolution: "cmd-shim@npm:6.0.2"
@@ -23697,17 +23724,18 @@ __metadata:
   linkType: hard
 
 "couchbase@npm:^4.3.0":
-  version: 4.3.0
-  resolution: "couchbase@npm:4.3.0"
-  dependencies:
-    "@couchbase/couchbase-darwin-arm64-napi": 4.3.0
-    "@couchbase/couchbase-darwin-x64-napi": 4.3.0
-    "@couchbase/couchbase-linux-arm64-napi": 4.3.0
-    "@couchbase/couchbase-linux-x64-napi": 4.3.0
-    "@couchbase/couchbase-linuxmusl-x64-napi": 4.3.0
-    "@couchbase/couchbase-win32-x64-napi": 4.3.0
-    cmake-js: ^7.2.1
-    node-addon-api: ^7.0.0
+  version: 4.4.2
+  resolution: "couchbase@npm:4.4.2"
+  dependencies:
+    "@couchbase/couchbase-darwin-arm64-napi": 4.4.2
+    "@couchbase/couchbase-darwin-x64-napi": 4.4.2
+    "@couchbase/couchbase-linux-arm64-napi": 4.4.2
+    "@couchbase/couchbase-linux-x64-napi": 4.4.2
+    "@couchbase/couchbase-linuxmusl-arm64-napi": 4.4.2
+    "@couchbase/couchbase-linuxmusl-x64-napi": 4.4.2
+    "@couchbase/couchbase-win32-x64-napi": 4.4.2
+    cmake-js: ^7.3.0
+    node-addon-api: ^8.0.0
   dependenciesMeta:
     "@couchbase/couchbase-darwin-arm64-napi":
       optional: true
@@ -23717,11 +23745,13 @@ __metadata:
       optional: true
     "@couchbase/couchbase-linux-x64-napi":
       optional: true
+    "@couchbase/couchbase-linuxmusl-arm64-napi":
+      optional: true
     "@couchbase/couchbase-linuxmusl-x64-napi":
       optional: true
     "@couchbase/couchbase-win32-x64-napi":
       optional: true
-  checksum: 99c24663cd7ab524668f26f151f92a78ecf850ddeca919b71f26eebe1134c492218639f9f491ff95e749628bd108164f78f13884e85a1de27959152247f8ecab
+  checksum: 452dcdc01f9277fc6e15668eb4ab67b6afff0945a8832a598b1009068fe82edcb76d4fbf0704d9351deba74348ee25759ddba5efbfed14dae23fca13cf4714a5
   languageName: node
   linkType: hard
 
@@ -27149,7 +27179,6 @@ __metadata:
     "@planetscale/database": ^1.8.0
     "@prisma/client": ^4.11.0
     "@qdrant/js-client-rest": ^1.9.0
-    "@raycast/api": ^1.55.2
     "@rockset/client": ^0.9.1
     "@supabase/supabase-js": ^2.45.0
     "@tensorflow/tfjs-backend-cpu": ^4.4.0
@@ -27166,7 +27195,6 @@ __metadata:
     axios: ^0.26.0
     chromadb: ^1.5.3
     convex: ^1.3.1
-    couchbase: ^4.3.0
     date-fns: ^3.3.1
     dotenv: ^16.0.3
     duck-duck-scrape: ^2.2.5
@@ -34639,6 +34667,13 @@ __metadata:
   languageName: node
   linkType: hard
 
+"node-api-headers@npm:^1.1.0":
+  version: 1.3.0
+  resolution: "node-api-headers@npm:1.3.0"
+  checksum: 4da6c55dd3f39487e24eb5c0862a28899c0b8c4c03041bb452a7b8940efc9ffe781dafdc6e2fbe381d3d0495e08aaee4e2cc873d7a35a0b33b39248c376e873b
+  languageName: node
+  linkType: hard
+
 "node-domexception@npm:1.0.0, node-domexception@npm:^1.0.0":
   version: 1.0.0
   resolution: "node-domexception@npm:1.0.0"
@@ -34805,9 +34840,9 @@ __metadata:
   languageName: node
   linkType: hard
 
-"node-llama-cpp@npm:2.7.3":
-  version: 2.7.3
-  resolution: "node-llama-cpp@npm:2.7.3"
+"node-llama-cpp@npm:^2":
+  version: 2.8.16
+  resolution: "node-llama-cpp@npm:2.8.16"
   dependencies:
     chalk: ^5.3.0
     chmodrp: ^1.0.2
@@ -34825,9 +34860,14 @@ __metadata:
     uuid: ^9.0.0
     which: ^4.0.0
     yargs: ^17.7.2
+  peerDependencies:
+    typescript: ">=5.0.0"
+  peerDependenciesMeta:
+    typescript:
+      optional: true
   bin:
     node-llama-cpp: dist/cli/cli.js
-  checksum: 5be984ab4711d3e6f3f29e6246e5d3b437b0e48631376f361c832a969530ffa4da5cdc78e8cf8e003a86411ced42c7cf022ad6d5b50c24f276cd841dbb077e0b
+  checksum: 51607ec21f02a702a440fae6a8c06b00b039cbfcb09a7d92eaa16e97972ff71874285d9d2561429bae03b52da81e0d12d2d22356dd162f30ce92d37c928014c4
   languageName: node
   linkType: hard
 
@@ -37773,18 +37813,6 @@ __metadata:
   languageName: node
   linkType: hard
 
-"react-reconciler@npm:0.28.0":
-  version: 0.28.0
-  resolution: "react-reconciler@npm:0.28.0"
-  dependencies:
-    loose-envify: ^1.1.0
-    scheduler: ^0.22.0
-  peerDependencies:
-    react: ^18.1.0
-  checksum: 6421f9500827219556ead3d86cbdf0553c47d633ecda2144720bf235d404f5e4e1e585336c4dfa80e26a04f1a6117c455a60964917d5600c73a91d8374f0232f
-  languageName: node
-  linkType: hard
-
 "react-router-config@npm:^5.1.1":
   version: 5.1.1
   resolution: "react-router-config@npm:5.1.1"
@@ -37846,12 +37874,12 @@ __metadata:
   languageName: node
   linkType: hard
 
-"react@npm:18.1.0":
-  version: 18.1.0
-  resolution: "react@npm:18.1.0"
+"react@npm:18.3.1":
+  version: 18.3.1
+  resolution: "react@npm:18.3.1"
   dependencies:
     loose-envify: ^1.1.0
-  checksum: 5bb296b561b43ef2220395da4faac86c14a087c8c80e1a7598a5740f01ee605c11eaf249985c1e2000971c4cd32ccb46d40f00479bbd9fb6b1c7cf857393b7d4
+  checksum: a27bcfa8ff7c15a1e50244ad0d0c1cb2ad4375eeffefd266a64889beea6f6b64c4966c9b37d14ee32d6c9fcd5aa6ba183b6988167ab4d127d13e7cb5b386a376
   languageName: node
   linkType: hard
 
@@ -38964,15 +38992,6 @@ __metadata:
   languageName: node
   linkType: hard
 
-"scheduler@npm:^0.22.0":
-  version: 0.22.0
-  resolution: "scheduler@npm:0.22.0"
-  dependencies:
-    loose-envify: ^1.1.0
-  checksum: a8ef5cab769c020cd6382ad9ecc3f72dbde56a50a36639b3a42ad9c11f7724f03700bcad373044059b8067d4a6365154dc7c0ca8027ef20ff4900cf58a0fc2c5
-  languageName: node
-  linkType: hard
-
 "scheduler@npm:^0.23.0":
   version: 0.23.0
   resolution: "scheduler@npm:0.23.0"
@@ -40623,6 +40642,20 @@ __metadata:
   languageName: node
   linkType: hard
 
+"tar@npm:^6.2.0":
+  version: 6.2.1
+  resolution: "tar@npm:6.2.1"
+  dependencies:
+    chownr: ^2.0.0
+    fs-minipass: ^2.0.0
+    minipass: ^5.0.0
+    minizlib: ^2.1.1
+    mkdirp: ^1.0.3
+    yallist: ^4.0.0
+  checksum: f1322768c9741a25356c11373bce918483f40fa9a25c69c59410c8a1247632487edef5fe76c5f12ac51a6356d2f1829e96d2bc34098668a2fc34d76050ac2b6c
+  languageName: node
+  linkType: hard
+
 "teeny-request@npm:^9.0.0":
   version: 9.0.0
   resolution: "teeny-request@npm:9.0.0"
@@ -41824,6 +41857,13 @@ __metadata:
   languageName: node
   linkType: hard
 
+"undici-types@npm:~6.19.2":
+  version: 6.19.8
+  resolution: "undici-types@npm:6.19.8"
+  checksum: de51f1b447d22571cf155dfe14ff6d12c5bdaec237c765085b439c38ca8518fc360e88c70f99469162bf2e14188a7b0bcb06e1ed2dc031042b984b0bb9544017
+  languageName: node
+  linkType: hard
+
 "undici@npm:5.27.2":
   version: 5.27.2
   resolution: "undici@npm:5.27.2"

From 736c0441940ef818ca2754d7cf6c8ad848e7f867 Mon Sep 17 00:00:00 2001
From: Anush <anushshetty90@gmail.com>
Date: Tue, 1 Oct 2024 02:00:57 +0530
Subject: [PATCH 252/344] fix(qdrant): Support for custom IDs when adding
 documents (#6898)

---
 .../src/tests/vectorstores.int.test.ts              | 13 +++++++++----
 libs/langchain-qdrant/src/vectorstores.ts           |  4 +++-
 2 files changed, 12 insertions(+), 5 deletions(-)

diff --git a/libs/langchain-qdrant/src/tests/vectorstores.int.test.ts b/libs/langchain-qdrant/src/tests/vectorstores.int.test.ts
index f0a6afca6549..288283b0da80 100644
--- a/libs/langchain-qdrant/src/tests/vectorstores.int.test.ts
+++ b/libs/langchain-qdrant/src/tests/vectorstores.int.test.ts
@@ -5,6 +5,7 @@ import { QdrantClient } from "@qdrant/js-client-rest";
 import { faker } from "@faker-js/faker";
 import { Document } from "@langchain/core/documents";
 import { SyntheticEmbeddings } from "@langchain/core/utils/testing";
+import { v4 } from "uuid";
 import { QdrantVectorStore } from "../vectorstores.js";
 
 describe("QdrantVectorStore testcase", () => {
@@ -19,12 +20,13 @@ describe("QdrantVectorStore testcase", () => {
     });
 
     const pageContent = faker.lorem.sentence(5);
+    const id = v4();
 
-    await qdrantVectorStore.addDocuments([{ pageContent, metadata: {} }]);
+    await qdrantVectorStore.addDocuments([{ pageContent, metadata: {}, id }]);
 
     const results = await qdrantVectorStore.similaritySearch(pageContent, 1);
 
-    expect(results[0]).toEqual(new Document({ metadata: {}, pageContent }));
+    expect(results[0]).toEqual(new Document({ metadata: {}, pageContent, id }));
 
     expect(qdrantVectorStore.maxMarginalRelevanceSearch).toBeDefined();
 
@@ -35,7 +37,9 @@ describe("QdrantVectorStore testcase", () => {
       }
     );
     expect(mmrResults.length).toBe(1);
-    expect(mmrResults[0]).toEqual(new Document({ metadata: {}, pageContent }));
+    expect(mmrResults[0]).toEqual(
+      new Document({ metadata: {}, pageContent, id })
+    );
   });
 
   test("passing client directly with a model that creates embeddings with a different number of dimensions", async () => {
@@ -59,6 +63,7 @@ describe("QdrantVectorStore testcase", () => {
 
     const results = await qdrantVectorStore.similaritySearch(pageContent, 1);
 
-    expect(results[0]).toEqual(new Document({ metadata: {}, pageContent }));
+    expect(results[0].metadata).toEqual({});
+    expect(results[0].pageContent).toEqual(pageContent);
   });
 });
diff --git a/libs/langchain-qdrant/src/vectorstores.ts b/libs/langchain-qdrant/src/vectorstores.ts
index 80d98e1226b0..4e48421f71f2 100644
--- a/libs/langchain-qdrant/src/vectorstores.ts
+++ b/libs/langchain-qdrant/src/vectorstores.ts
@@ -149,7 +149,7 @@ export class QdrantVectorStore extends VectorStore {
     await this.ensureCollection();
 
     const points = vectors.map((embedding, idx) => ({
-      id: uuid(),
+      id: documents[idx].id ?? uuid(),
       vector: embedding,
       payload: {
         [this.contentPayloadKey]: documents[idx].pageContent,
@@ -206,6 +206,7 @@ export class QdrantVectorStore extends VectorStore {
       results as QdrantSearchResponse[]
     ).map((res) => [
       new Document({
+        id: res.id as string,
         // eslint-disable-next-line @typescript-eslint/no-explicit-any
         metadata: res.payload[this.metadataPayloadKey] as Record<string, any>,
         pageContent: res.payload[this.contentPayloadKey] as string,
@@ -264,6 +265,7 @@ export class QdrantVectorStore extends VectorStore {
     const result = (topMmrMatches as QdrantSearchResponse[]).map(
       (res) =>
         new Document({
+          id: res.id as string,
           // eslint-disable-next-line @typescript-eslint/no-explicit-any
           metadata: res.payload[this.metadataPayloadKey] as Record<string, any>,
           pageContent: res.payload[this.contentPayloadKey] as string,

From d3f246834f441a2bb5f95f3ccdcbf567251ad13c Mon Sep 17 00:00:00 2001
From: Bagatur <22008038+baskaryan@users.noreply.github.com>
Date: Mon, 30 Sep 2024 13:50:52 -0700
Subject: [PATCH 253/344] openai[patch]: add AZURE_OPENAI_ENDPOINT supoprt
 (#6868)

Co-authored-by: jacoblee93 <jacoblee93@gmail.com>
---
 .../langchain-openai/src/azure/chat_models.ts | 44 +++++++++++++++++++
 libs/langchain-openai/src/chat_models.ts      | 21 ++++++++-
 .../src/tests/azure/chat_models.test.ts       | 37 ++++++++++++++++
 libs/langchain-openai/src/types.ts            |  9 +++-
 libs/langchain-openai/src/utils/azure.ts      | 15 ++++++-
 5 files changed, 122 insertions(+), 4 deletions(-)
 create mode 100644 libs/langchain-openai/src/tests/azure/chat_models.test.ts

diff --git a/libs/langchain-openai/src/azure/chat_models.ts b/libs/langchain-openai/src/azure/chat_models.ts
index e9a460e0f9f6..e8d78a204a6a 100644
--- a/libs/langchain-openai/src/azure/chat_models.ts
+++ b/libs/langchain-openai/src/azure/chat_models.ts
@@ -434,6 +434,11 @@ export class AzureChatOpenAI extends ChatOpenAI {
       openAIApiKey: "openai_api_key",
       openAIApiVersion: "openai_api_version",
       openAIBasePath: "openai_api_base",
+      deploymentName: "deployment_name",
+      azureOpenAIEndpoint: "azure_endpoint",
+      azureOpenAIApiVersion: "openai_api_version",
+      azureOpenAIBasePath: "openai_api_base",
+      azureOpenAIApiDeploymentName: "deployment_name",
     };
   }
 
@@ -477,6 +482,7 @@ export class AzureChatOpenAI extends ChatOpenAI {
         azureOpenAIBasePath: this.azureOpenAIBasePath,
         azureADTokenProvider: this.azureADTokenProvider,
         baseURL: this.clientConfig.baseURL,
+        azureOpenAIEndpoint: this.azureOpenAIEndpoint,
       };
 
       const endpoint = getEndpoint(openAIEndpointConfig);
@@ -541,6 +547,44 @@ export class AzureChatOpenAI extends ChatOpenAI {
       delete json.kwargs.azure_openai_api_key;
       delete json.kwargs.azure_openai_api_version;
       delete json.kwargs.azure_open_ai_base_path;
+
+      if (!json.kwargs.azure_endpoint && this.azureOpenAIEndpoint) {
+        json.kwargs.azure_endpoint = this.azureOpenAIEndpoint;
+      }
+      if (!json.kwargs.azure_endpoint && this.azureOpenAIBasePath) {
+        const parts = this.azureOpenAIBasePath.split("/openai/deployments/");
+        if (parts.length === 2 && parts[0].startsWith("http")) {
+          const [endpoint] = parts;
+          json.kwargs.azure_endpoint = endpoint;
+        }
+      }
+      if (!json.kwargs.azure_endpoint && this.azureOpenAIApiInstanceName) {
+        json.kwargs.azure_endpoint = `https://${this.azureOpenAIApiInstanceName}.openai.azure.com/`;
+      }
+      if (!json.kwargs.deployment_name && this.azureOpenAIApiDeploymentName) {
+        json.kwargs.deployment_name = this.azureOpenAIApiDeploymentName;
+      }
+      if (!json.kwargs.deployment_name && this.azureOpenAIBasePath) {
+        const parts = this.azureOpenAIBasePath.split("/openai/deployments/");
+        if (parts.length === 2) {
+          const [, deployment] = parts;
+          json.kwargs.deployment_name = deployment;
+        }
+      }
+
+      if (
+        json.kwargs.azure_endpoint &&
+        json.kwargs.deployment_name &&
+        json.kwargs.openai_api_base
+      ) {
+        delete json.kwargs.openai_api_base;
+      }
+      if (
+        json.kwargs.azure_openai_api_instance_name &&
+        json.kwargs.azure_endpoint
+      ) {
+        delete json.kwargs.azure_openai_api_instance_name;
+      }
     }
 
     return json;
diff --git a/libs/langchain-openai/src/chat_models.ts b/libs/langchain-openai/src/chat_models.ts
index ac67fef13903..0fedcb602b7f 100644
--- a/libs/langchain-openai/src/chat_models.ts
+++ b/libs/langchain-openai/src/chat_models.ts
@@ -933,6 +933,8 @@ export class ChatOpenAI<
 
   azureOpenAIBasePath?: string;
 
+  azureOpenAIEndpoint?: string;
+
   organization?: string;
 
   __includeRawResponse?: boolean;
@@ -993,6 +995,10 @@ export class ChatOpenAI<
       fields?.configuration?.organization ??
       getEnvironmentVariable("OPENAI_ORGANIZATION");
 
+    this.azureOpenAIEndpoint =
+      fields?.azureOpenAIEndpoint ??
+      getEnvironmentVariable("AZURE_OPENAI_ENDPOINT");
+
     this.modelName = fields?.model ?? fields?.modelName ?? this.model;
     this.model = this.modelName;
     this.modelKwargs = fields?.modelKwargs ?? {};
@@ -1013,9 +1019,21 @@ export class ChatOpenAI<
     this.__includeRawResponse = fields?.__includeRawResponse;
 
     if (this.azureOpenAIApiKey || this.azureADTokenProvider) {
-      if (!this.azureOpenAIApiInstanceName && !this.azureOpenAIBasePath) {
+      if (
+        !this.azureOpenAIApiInstanceName &&
+        !this.azureOpenAIBasePath &&
+        !this.azureOpenAIEndpoint
+      ) {
         throw new Error("Azure OpenAI API instance name not found");
       }
+
+      if (!this.azureOpenAIApiDeploymentName && this.azureOpenAIBasePath) {
+        const parts = this.azureOpenAIBasePath.split("/openai/deployments/");
+        if (parts.length === 2) {
+          const [, deployment] = parts;
+          this.azureOpenAIApiDeploymentName = deployment;
+        }
+      }
       if (!this.azureOpenAIApiDeploymentName) {
         throw new Error("Azure OpenAI API deployment name not found");
       }
@@ -1654,6 +1672,7 @@ export class ChatOpenAI<
         azureOpenAIApiKey: this.azureOpenAIApiKey,
         azureOpenAIBasePath: this.azureOpenAIBasePath,
         baseURL: this.clientConfig.baseURL,
+        azureOpenAIEndpoint: this.azureOpenAIEndpoint,
       };
 
       const endpoint = getEndpoint(openAIEndpointConfig);
diff --git a/libs/langchain-openai/src/tests/azure/chat_models.test.ts b/libs/langchain-openai/src/tests/azure/chat_models.test.ts
new file mode 100644
index 000000000000..84bfd726dd76
--- /dev/null
+++ b/libs/langchain-openai/src/tests/azure/chat_models.test.ts
@@ -0,0 +1,37 @@
+import { AzureChatOpenAI } from "../../azure/chat_models.js";
+
+test("Test Azure OpenAI serialization from azure endpoint", async () => {
+  const chat = new AzureChatOpenAI({
+    azureOpenAIEndpoint: "https://foobar.openai.azure.com/",
+    azureOpenAIApiDeploymentName: "gpt-4o",
+    azureOpenAIApiVersion: "2024-08-01-preview",
+    azureOpenAIApiKey: "foo",
+  });
+  expect(JSON.stringify(chat)).toEqual(
+    `{"lc":1,"type":"constructor","id":["langchain","chat_models","azure_openai","AzureChatOpenAI"],"kwargs":{"azure_endpoint":"https://foobar.openai.azure.com/","openai_api_key":{"lc":1,"type":"secret","id":["OPENAI_API_KEY"]},"deployment_name":"gpt-4o"}}`
+  );
+});
+
+test("Test Azure OpenAI serialization from base path", async () => {
+  const chat = new AzureChatOpenAI({
+    azureOpenAIBasePath:
+      "https://foobar.openai.azure.com/openai/deployments/gpt-4o",
+    azureOpenAIApiVersion: "2024-08-01-preview",
+    azureOpenAIApiKey: "foo",
+  });
+  expect(JSON.stringify(chat)).toEqual(
+    `{"lc":1,"type":"constructor","id":["langchain","chat_models","azure_openai","AzureChatOpenAI"],"kwargs":{"openai_api_key":{"lc":1,"type":"secret","id":["OPENAI_API_KEY"]},"azure_endpoint":"https://foobar.openai.azure.com","deployment_name":"gpt-4o"}}`
+  );
+});
+
+test("Test Azure OpenAI serialization from instance name", async () => {
+  const chat = new AzureChatOpenAI({
+    azureOpenAIApiInstanceName: "foobar",
+    azureOpenAIApiDeploymentName: "gpt-4o",
+    azureOpenAIApiVersion: "2024-08-01-preview",
+    azureOpenAIApiKey: "foo",
+  });
+  expect(JSON.stringify(chat)).toEqual(
+    `{"lc":1,"type":"constructor","id":["langchain","chat_models","azure_openai","AzureChatOpenAI"],"kwargs":{"openai_api_key":{"lc":1,"type":"secret","id":["OPENAI_API_KEY"]},"azure_endpoint":"https://foobar.openai.azure.com/","deployment_name":"gpt-4o"}}`
+  );
+});
diff --git a/libs/langchain-openai/src/types.ts b/libs/langchain-openai/src/types.ts
index 04d8865713d4..5f5ca73809a5 100644
--- a/libs/langchain-openai/src/types.ts
+++ b/libs/langchain-openai/src/types.ts
@@ -216,12 +216,19 @@ export declare interface AzureOpenAIInput {
   azureOpenAIApiCompletionsDeploymentName?: string;
 
   /**
-   * Custom endpoint for Azure OpenAI API. This is useful in case you have a deployment in another region.
+   * Custom base url for Azure OpenAI API. This is useful in case you have a deployment in another region.
    * e.g. setting this value to "https://westeurope.api.cognitive.microsoft.com/openai/deployments"
    * will be result in the endpoint URL: https://westeurope.api.cognitive.microsoft.com/openai/deployments/{DeploymentName}/
    */
   azureOpenAIBasePath?: string;
 
+  /**
+   * Custom endpoint for Azure OpenAI API. This is useful in case you have a deployment in another region.
+   * e.g. setting this value to "https://westeurope.api.cognitive.microsoft.com/"
+   * will be result in the endpoint URL: https://westeurope.api.cognitive.microsoft.com/openai/deployments/{DeploymentName}/
+   */
+  azureOpenAIEndpoint?: string;
+
   /**
    * A function that returns an access token for Microsoft Entra (formerly known as Azure Active Directory),
    * which will be invoked on every request.
diff --git a/libs/langchain-openai/src/utils/azure.ts b/libs/langchain-openai/src/utils/azure.ts
index 0f3fa68eb4f8..2379dc4db6f9 100644
--- a/libs/langchain-openai/src/utils/azure.ts
+++ b/libs/langchain-openai/src/utils/azure.ts
@@ -5,6 +5,7 @@ export interface OpenAIEndpointConfig {
   azureADTokenProvider?: () => Promise<string>;
   azureOpenAIBasePath?: string;
   baseURL?: string | null;
+  azureOpenAIEndpoint?: string;
 }
 
 /**
@@ -14,13 +15,15 @@ export interface OpenAIEndpointConfig {
  * @param {OpenAIEndpointConfig} config - The configuration object for the (Azure) endpoint.
  *
  * @property {string} config.azureOpenAIApiDeploymentName - The deployment name of Azure OpenAI.
- * @property {string} config.azureOpenAIApiInstanceName - The instance name of Azure OpenAI.
+ * @property {string} config.azureOpenAIApiInstanceName - The instance name of Azure OpenAI, e.g. `example-resource`.
  * @property {string} config.azureOpenAIApiKey - The API Key for Azure OpenAI.
- * @property {string} config.azureOpenAIBasePath - The base path for Azure OpenAI.
+ * @property {string} config.azureOpenAIBasePath - The base path for Azure OpenAI, e.g. `https://example-resource.azure.openai.com/openai/deployments/`.
  * @property {string} config.baseURL - Some other custom base path URL.
+ * @property {string} config.azureOpenAIEndpoint - The endpoint for the Azure OpenAI instance, e.g. `https://example-resource.azure.openai.com/`.
  *
  * The function operates as follows:
  * - If both `azureOpenAIBasePath` and `azureOpenAIApiDeploymentName` (plus `azureOpenAIApiKey`) are provided, it returns an URL combining these two parameters (`${azureOpenAIBasePath}/${azureOpenAIApiDeploymentName}`).
+ * - If both `azureOpenAIEndpoint` and `azureOpenAIApiDeploymentName` (plus `azureOpenAIApiKey`) are provided, it returns an URL combining these two parameters (`${azureOpenAIEndpoint}/openai/deployments/${azureOpenAIApiDeploymentName}`).
  * - If `azureOpenAIApiKey` is provided, it checks for `azureOpenAIApiInstanceName` and `azureOpenAIApiDeploymentName` and throws an error if any of these is missing. If both are provided, it generates an URL incorporating these parameters.
  * - If none of the above conditions are met, return any custom `baseURL`.
  * - The function returns the generated URL as a string, or undefined if no custom paths are specified.
@@ -37,6 +40,7 @@ export function getEndpoint(config: OpenAIEndpointConfig) {
     azureOpenAIBasePath,
     baseURL,
     azureADTokenProvider,
+    azureOpenAIEndpoint,
   } = config;
 
   if (
@@ -46,6 +50,13 @@ export function getEndpoint(config: OpenAIEndpointConfig) {
   ) {
     return `${azureOpenAIBasePath}/${azureOpenAIApiDeploymentName}`;
   }
+  if (
+    (azureOpenAIApiKey || azureADTokenProvider) &&
+    azureOpenAIEndpoint &&
+    azureOpenAIApiDeploymentName
+  ) {
+    return `${azureOpenAIEndpoint}/openai/deployments/${azureOpenAIApiDeploymentName}`;
+  }
 
   if (azureOpenAIApiKey || azureADTokenProvider) {
     if (!azureOpenAIApiInstanceName) {

From 3a21f0413c02432b1f5a7a8d94235a7d898d7a3c Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Mon, 30 Sep 2024 13:54:56 -0700
Subject: [PATCH 254/344] chore(openai): Release 0.3.3 (#6902)

---
 libs/langchain-openai/package.json | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/libs/langchain-openai/package.json b/libs/langchain-openai/package.json
index bcd3f2007da9..ed1454fce6a5 100644
--- a/libs/langchain-openai/package.json
+++ b/libs/langchain-openai/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/openai",
-  "version": "0.3.2",
+  "version": "0.3.3",
   "description": "OpenAI integrations for LangChain.js",
   "type": "module",
   "engines": {

From 2d6880b1260e7f11c14bfd26a7eec1a7507fe9fe Mon Sep 17 00:00:00 2001
From: H M Naimuzzaman Shuvo <hmshuvo314@gmail.com>
Date: Tue, 1 Oct 2024 03:24:36 +0600
Subject: [PATCH 255/344] fix(community): Update PrismaVectorStore to execute
 raw SQL with `Prisma.sql` tagged template (#6889)

Co-authored-by: jacoblee93 <jacoblee93@gmail.com>
---
 .../src/vectorstores/prisma.ts                    | 15 ++++++++-------
 1 file changed, 8 insertions(+), 7 deletions(-)

diff --git a/libs/langchain-community/src/vectorstores/prisma.ts b/libs/langchain-community/src/vectorstores/prisma.ts
index 54fbd3603bcd..669fb51a5262 100644
--- a/libs/langchain-community/src/vectorstores/prisma.ts
+++ b/libs/langchain-community/src/vectorstores/prisma.ts
@@ -1,6 +1,6 @@
+import { Document } from "@langchain/core/documents";
 import type { EmbeddingsInterface } from "@langchain/core/embeddings";
 import { VectorStore } from "@langchain/core/vectorstores";
-import { Document } from "@langchain/core/documents";
 
 const IdColumnSymbol = Symbol("id");
 const ContentColumnSymbol = Symbol("content");
@@ -306,12 +306,13 @@ export class PrismaVectorStore<
     const vectorColumnRaw = this.Prisma.raw(`"${this.vectorColumnName}"`);
 
     await this.db.$transaction(
-      vectors.map(
-        (vector, idx) => this.db.$executeRaw`
-          UPDATE ${tableNameRaw}
-          SET ${vectorColumnRaw} = ${`[${vector.join(",")}]`}::vector
-          WHERE ${idColumnRaw} = ${documents[idx].metadata[this.idColumn]}
-        `
+      vectors.map((vector, idx) =>
+        this.db.$executeRaw(
+          this.Prisma.sql`UPDATE ${tableNameRaw}
+            SET ${vectorColumnRaw} = ${`[${vector.join(",")}]`}::vector
+            WHERE ${idColumnRaw} = ${documents[idx].metadata[this.idColumn]}
+          `
+        )
       )
     );
   }

From 17cbf2397be3d5d4bd33fe7ab4bf3463bd46f027 Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Mon, 30 Sep 2024 14:38:29 -0700
Subject: [PATCH 256/344] chore(community): Release 0.3.4 (#6903)

---
 libs/langchain-community/package.json | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/libs/langchain-community/package.json b/libs/langchain-community/package.json
index 43082ed08c99..652677c8f19a 100644
--- a/libs/langchain-community/package.json
+++ b/libs/langchain-community/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/community",
-  "version": "0.3.3",
+  "version": "0.3.4",
   "description": "Third-party integrations for LangChain.js",
   "type": "module",
   "engines": {

From fe89991631bd09c489f5980ce65d443cbb683166 Mon Sep 17 00:00:00 2001
From: Brace Sproul <braceasproul@gmail.com>
Date: Mon, 30 Sep 2024 15:22:29 -0700
Subject: [PATCH 257/344] fix(ollama): Drop tool_choice from docstrings (#6905)

---
 libs/langchain-ollama/src/chat_models.ts | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/libs/langchain-ollama/src/chat_models.ts b/libs/langchain-ollama/src/chat_models.ts
index 8c8ea9fc66d1..f016f80d3b16 100644
--- a/libs/langchain-ollama/src/chat_models.ts
+++ b/libs/langchain-ollama/src/chat_models.ts
@@ -109,7 +109,7 @@ export interface ChatOllamaInput
  * const llmWithTools = llm.bindTools(
  *   [...],
  *   {
- *     tool_choice: "auto",
+ *     stop: ["\n"],
  *   }
  * );
  * ```

From 87560222b0d09cfedcdf56cf90ff4dc721eddbdc Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Mon, 30 Sep 2024 15:28:16 -0700
Subject: [PATCH 258/344] fix(openai): Allow OpenAI streaming with json_schema,
 fix docs nits (#6906)

---
 .../docs/integrations/chat/openai.ipynb       | 210 ++++++++++++++----
 .../document_loaders/file_loaders/epub.mdx    |   2 +-
 libs/langchain-openai/src/chat_models.ts      |  30 +--
 3 files changed, 166 insertions(+), 76 deletions(-)

diff --git a/docs/core_docs/docs/integrations/chat/openai.ipynb b/docs/core_docs/docs/integrations/chat/openai.ipynb
index 61dc4103ddd0..2069ebe7301f 100644
--- a/docs/core_docs/docs/integrations/chat/openai.ipynb
+++ b/docs/core_docs/docs/integrations/chat/openai.ipynb
@@ -97,9 +97,9 @@
     "import { ChatOpenAI } from \"@langchain/openai\" \n",
     "\n",
     "const llm = new ChatOpenAI({\n",
-    "    model: \"gpt-4o\",\n",
-    "    temperature: 0,\n",
-    "    // other params...\n",
+    "  model: \"gpt-4o\",\n",
+    "  temperature: 0,\n",
+    "  // other params...\n",
     "})"
    ]
   },
@@ -124,23 +124,24 @@
      "output_type": "stream",
      "text": [
       "AIMessage {\n",
-      "  \"id\": \"chatcmpl-9rB4GvhlRb0x3hxupLBQYOKKmTxvV\",\n",
+      "  \"id\": \"chatcmpl-ADItECqSPuuEuBHHPjeCkh9wIO1H5\",\n",
       "  \"content\": \"J'adore la programmation.\",\n",
       "  \"additional_kwargs\": {},\n",
       "  \"response_metadata\": {\n",
       "    \"tokenUsage\": {\n",
-      "      \"completionTokens\": 8,\n",
+      "      \"completionTokens\": 5,\n",
       "      \"promptTokens\": 31,\n",
-      "      \"totalTokens\": 39\n",
+      "      \"totalTokens\": 36\n",
       "    },\n",
-      "    \"finish_reason\": \"stop\"\n",
+      "    \"finish_reason\": \"stop\",\n",
+      "    \"system_fingerprint\": \"fp_5796ac6771\"\n",
       "  },\n",
       "  \"tool_calls\": [],\n",
       "  \"invalid_tool_calls\": [],\n",
       "  \"usage_metadata\": {\n",
       "    \"input_tokens\": 31,\n",
-      "    \"output_tokens\": 8,\n",
-      "    \"total_tokens\": 39\n",
+      "    \"output_tokens\": 5,\n",
+      "    \"total_tokens\": 36\n",
       "  }\n",
       "}\n"
      ]
@@ -148,11 +149,14 @@
    ],
    "source": [
     "const aiMsg = await llm.invoke([\n",
-    "    [\n",
-    "        \"system\",\n",
-    "        \"You are a helpful assistant that translates English to French. Translate the user sentence.\",\n",
-    "    ],\n",
-    "    [\"human\", \"I love programming.\"],\n",
+    "  {\n",
+    "    role: \"system\",\n",
+    "    content: \"You are a helpful assistant that translates English to French. Translate the user sentence.\",\n",
+    "  },\n",
+    "  {\n",
+    "    role: \"user\",\n",
+    "    content: \"I love programming.\"\n",
+    "  },\n",
     "])\n",
     "aiMsg"
    ]
@@ -196,23 +200,24 @@
      "output_type": "stream",
      "text": [
       "AIMessage {\n",
-      "  \"id\": \"chatcmpl-9rB4JD9rVBLzTuMee9AabulowEH0d\",\n",
-      "  \"content\": \"Ich liebe das Programmieren.\",\n",
+      "  \"id\": \"chatcmpl-ADItFaWFNqkSjSmlxeGk6HxcBHzVN\",\n",
+      "  \"content\": \"Ich liebe Programmieren.\",\n",
       "  \"additional_kwargs\": {},\n",
       "  \"response_metadata\": {\n",
       "    \"tokenUsage\": {\n",
-      "      \"completionTokens\": 6,\n",
+      "      \"completionTokens\": 5,\n",
       "      \"promptTokens\": 26,\n",
-      "      \"totalTokens\": 32\n",
+      "      \"totalTokens\": 31\n",
       "    },\n",
-      "    \"finish_reason\": \"stop\"\n",
+      "    \"finish_reason\": \"stop\",\n",
+      "    \"system_fingerprint\": \"fp_5796ac6771\"\n",
       "  },\n",
       "  \"tool_calls\": [],\n",
       "  \"invalid_tool_calls\": [],\n",
       "  \"usage_metadata\": {\n",
       "    \"input_tokens\": 26,\n",
-      "    \"output_tokens\": 6,\n",
-      "    \"total_tokens\": 32\n",
+      "    \"output_tokens\": 5,\n",
+      "    \"total_tokens\": 31\n",
       "  }\n",
       "}\n"
      ]
@@ -222,22 +227,22 @@
     "import { ChatPromptTemplate } from \"@langchain/core/prompts\"\n",
     "\n",
     "const prompt = ChatPromptTemplate.fromMessages(\n",
+    "  [\n",
     "    [\n",
-    "        [\n",
-    "            \"system\",\n",
-    "            \"You are a helpful assistant that translates {input_language} to {output_language}.\",\n",
-    "        ],\n",
-    "        [\"human\", \"{input}\"],\n",
-    "    ]\n",
+    "      \"system\",\n",
+    "      \"You are a helpful assistant that translates {input_language} to {output_language}.\",\n",
+    "    ],\n",
+    "    [\"human\", \"{input}\"],\n",
+    "  ]\n",
     ")\n",
     "\n",
     "const chain = prompt.pipe(llm);\n",
     "await chain.invoke(\n",
-    "    {\n",
-    "        input_language: \"English\",\n",
-    "        output_language: \"German\",\n",
-    "        input: \"I love programming.\",\n",
-    "    }\n",
+    "  {\n",
+    "    input_language: \"English\",\n",
+    "    output_language: \"German\",\n",
+    "    input: \"I love programming.\",\n",
+    "  }\n",
     ")"
    ]
   },
@@ -384,7 +389,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 8,
    "id": "2b675330",
    "metadata": {},
    "outputs": [
@@ -396,7 +401,7 @@
       "  content: [\n",
       "    {\n",
       "      token: 'Hello',\n",
-      "      logprob: -0.0005151443,\n",
+      "      logprob: -0.0004740447,\n",
       "      bytes: [ 72, 101, 108, 108, 111 ],\n",
       "      top_logprobs: []\n",
       "    },\n",
@@ -408,25 +413,25 @@
       "    },\n",
       "    {\n",
       "      token: ' How',\n",
-      "      logprob: -0.000035477897,\n",
+      "      logprob: -0.000030113732,\n",
       "      bytes: [ 32, 72, 111, 119 ],\n",
       "      top_logprobs: []\n",
       "    },\n",
       "    {\n",
       "      token: ' can',\n",
-      "      logprob: -0.0006658526,\n",
+      "      logprob: -0.0004797665,\n",
       "      bytes: [ 32, 99, 97, 110 ],\n",
       "      top_logprobs: []\n",
       "    },\n",
       "    {\n",
       "      token: ' I',\n",
-      "      logprob: -0.0000010280384,\n",
+      "      logprob: -7.89631e-7,\n",
       "      bytes: [ 32, 73 ],\n",
       "      top_logprobs: []\n",
       "    },\n",
       "    {\n",
       "      token: ' assist',\n",
-      "      logprob: -0.10124119,\n",
+      "      logprob: -0.114006,\n",
       "      bytes: [\n",
       "         32,  97, 115,\n",
       "        115, 105, 115,\n",
@@ -436,23 +441,24 @@
       "    },\n",
       "    {\n",
       "      token: ' you',\n",
-      "      logprob: -5.5122365e-7,\n",
+      "      logprob: -4.3202e-7,\n",
       "      bytes: [ 32, 121, 111, 117 ],\n",
       "      top_logprobs: []\n",
       "    },\n",
       "    {\n",
       "      token: ' today',\n",
-      "      logprob: -0.000052643223,\n",
+      "      logprob: -0.00004501419,\n",
       "      bytes: [ 32, 116, 111, 100, 97, 121 ],\n",
       "      top_logprobs: []\n",
       "    },\n",
       "    {\n",
       "      token: '?',\n",
-      "      logprob: -0.000012352386,\n",
+      "      logprob: -0.000010206721,\n",
       "      bytes: [ 63 ],\n",
       "      top_logprobs: []\n",
       "    }\n",
-      "  ]\n",
+      "  ],\n",
+      "  refusal: null\n",
       "}\n"
      ]
     }
@@ -489,24 +495,26 @@
    "id": "3392390e",
    "metadata": {},
    "source": [
-    "### ``strict: true``\n",
+    "## ``strict: true``\n",
+    "\n",
+    "As of Aug 6, 2024, OpenAI supports a `strict` argument when calling tools that will enforce that the tool argument schema is respected by the model. See more here: https://platform.openai.com/docs/guides/function-calling.\n",
     "\n",
     "```{=mdx}\n",
     "\n",
     ":::info Requires ``@langchain/openai >= 0.2.6``\n",
     "\n",
-    "As of Aug 6, 2024, OpenAI supports a `strict` argument when calling tools that will enforce that the tool argument schema is respected by the model. See more here: https://platform.openai.com/docs/guides/function-calling\n",
-    "\n",
     "**Note**: If ``strict: true`` the tool definition will also be validated, and a subset of JSON schema are accepted. Crucially, schema cannot have optional args (those with default values). Read the full docs on what types of schema are supported here: https://platform.openai.com/docs/guides/structured-outputs/supported-schemas. \n",
     ":::\n",
     "\n",
     "\n",
-    "```"
+    "```\n",
+    "\n",
+    "Here's an example with tool calling. Passing an extra `strict: true` argument to `.bindTools` will pass the param through to all tool definitions:"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 9,
    "id": "90f0d465",
    "metadata": {},
    "outputs": [
@@ -517,9 +525,9 @@
       "[\n",
       "  {\n",
       "    name: 'get_current_weather',\n",
-      "    args: { location: 'Hanoi' },\n",
+      "    args: { location: 'current' },\n",
       "    type: 'tool_call',\n",
-      "    id: 'call_aB85ybkLCoccpzqHquuJGH3d'\n",
+      "    id: 'call_hVFyYNRwc6CoTgr9AQFQVjm9'\n",
       "  }\n",
       "]\n"
      ]
@@ -552,6 +560,110 @@
     "console.dir(strictTrueResult.tool_calls, { depth: null });"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "6c46a668",
+   "metadata": {},
+   "source": [
+    "If you only want to apply this parameter to a select number of tools, you can also pass OpenAI formatted tool schemas directly:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "id": "e2da9ead",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[\n",
+      "  {\n",
+      "    name: 'get_current_weather',\n",
+      "    args: { location: 'London' },\n",
+      "    type: 'tool_call',\n",
+      "    id: 'call_EOSejtax8aYtqpchY8n8O82l'\n",
+      "  }\n",
+      "]\n"
+     ]
+    }
+   ],
+   "source": [
+    "import { zodToJsonSchema } from \"zod-to-json-schema\";\n",
+    "\n",
+    "const toolSchema = {\n",
+    "  type: \"function\",\n",
+    "  function: {\n",
+    "    name: \"get_current_weather\",\n",
+    "    description: \"Get the current weather\",\n",
+    "    strict: true,\n",
+    "    parameters: zodToJsonSchema(\n",
+    "      z.object({\n",
+    "        location: z.string(),\n",
+    "      })\n",
+    "    ),\n",
+    "  },\n",
+    "};\n",
+    "\n",
+    "const llmWithStrictTrueTools = new ChatOpenAI({\n",
+    "  model: \"gpt-4o\",\n",
+    "}).bindTools([toolSchema], {\n",
+    "  strict: true,\n",
+    "});\n",
+    "\n",
+    "const weatherToolResult = await llmWithStrictTrueTools.invoke([{\n",
+    "  role: \"user\",\n",
+    "  content: \"What is the current weather in London?\"\n",
+    "}])\n",
+    "\n",
+    "weatherToolResult.tool_calls;"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "045668fe",
+   "metadata": {},
+   "source": [
+    "### Structured output\n",
+    "\n",
+    "We can also pass `strict: true` to the [`.withStructuredOutput()`](https://js.langchain.com/docs/how_to/structured_output/#the-.withstructuredoutput-method). Here's an example:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "id": "8e8171a5",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{ traits: [ `6'5\" tall`, 'love fruit' ] }\n"
+     ]
+    }
+   ],
+   "source": [
+    "import { ChatOpenAI } from \"@langchain/openai\";\n",
+    "\n",
+    "const traitSchema = z.object({\n",
+    "  traits: z.array(z.string()).describe(\"A list of traits contained in the input\"),\n",
+    "});\n",
+    "\n",
+    "const structuredLlm = new ChatOpenAI({\n",
+    "  model: \"gpt-4o-mini\",\n",
+    "}).withStructuredOutput(traitSchema, {\n",
+    "  name: \"extract_traits\",\n",
+    "  strict: true,\n",
+    "});\n",
+    "\n",
+    "await structuredLlm.invoke([{\n",
+    "  role: \"user\",\n",
+    "  content: `I am 6'5\" tall and love fruit.`\n",
+    "}]);"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "3a5bb5ca-c3ae-4a58-be67-2cd18574b9a3",
diff --git a/docs/core_docs/docs/integrations/document_loaders/file_loaders/epub.mdx b/docs/core_docs/docs/integrations/document_loaders/file_loaders/epub.mdx
index e3bf219617b0..01847609a549 100644
--- a/docs/core_docs/docs/integrations/document_loaders/file_loaders/epub.mdx
+++ b/docs/core_docs/docs/integrations/document_loaders/file_loaders/epub.mdx
@@ -9,7 +9,7 @@ This example goes over how to load data from EPUB files. By default, one documen
 # Setup
 
 ```bash npm2yarn
-npm install @langchian/community @langchain/core epub2 html-to-text
+npm install @langchain/community @langchain/core epub2 html-to-text
 ```
 
 # Usage, one document per chapter
diff --git a/libs/langchain-openai/src/chat_models.ts b/libs/langchain-openai/src/chat_models.ts
index 0fedcb602b7f..678dd78a2e43 100644
--- a/libs/langchain-openai/src/chat_models.ts
+++ b/libs/langchain-openai/src/chat_models.ts
@@ -630,7 +630,10 @@ export interface ChatOpenAIFields
  *   rating: z.number().optional().describe("How funny the joke is, from 1 to 10")
  * }).describe('Joke to tell user.');
  *
- * const structuredLlm = llm.withStructuredOutput(Joke, { name: "Joke" });
+ * const structuredLlm = llm.withStructuredOutput(Joke, {
+ *   name: "Joke",
+ *   strict: true, // Optionally enable OpenAI structured outputs
+ * });
  * const jokeResult = await structuredLlm.invoke("Tell me a joke about cats");
  * console.log(jokeResult);
  * ```
@@ -1228,31 +1231,6 @@ export class ChatOpenAI<
       stream: true as const,
     };
     let defaultRole: OpenAIRoleEnum | undefined;
-    if (
-      params.response_format &&
-      params.response_format.type === "json_schema"
-    ) {
-      console.warn(
-        `OpenAI does not yet support streaming with "response_format" set to "json_schema". Falling back to non-streaming mode.`
-      );
-      const res = await this._generate(messages, options, runManager);
-      const chunk = new ChatGenerationChunk({
-        message: new AIMessageChunk({
-          ...res.generations[0].message,
-        }),
-        text: res.generations[0].text,
-        generationInfo: res.generations[0].generationInfo,
-      });
-      yield chunk;
-      return runManager?.handleLLMNewToken(
-        res.generations[0].text ?? "",
-        undefined,
-        undefined,
-        undefined,
-        undefined,
-        { chunk }
-      );
-    }
 
     const streamIterable = await this.completionWithRetry(params, options);
     let usage: OpenAIClient.Completions.CompletionUsage | undefined;

From 91363781175d1c5ca3d6b82431e58958312de3d7 Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Mon, 30 Sep 2024 15:39:10 -0700
Subject: [PATCH 259/344] chore(openai): Release 0.3.4 (#6907)

---
 libs/langchain-openai/package.json | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/libs/langchain-openai/package.json b/libs/langchain-openai/package.json
index ed1454fce6a5..2e7455acec73 100644
--- a/libs/langchain-openai/package.json
+++ b/libs/langchain-openai/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/openai",
-  "version": "0.3.3",
+  "version": "0.3.4",
   "description": "OpenAI integrations for LangChain.js",
   "type": "module",
   "engines": {

From 2e215a5f46e962fa26293610bff0e0075618cca4 Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Mon, 30 Sep 2024 15:54:42 -0700
Subject: [PATCH 260/344] fix(core): Narrow chat model return type (#6908)

---
 langchain-core/src/language_models/chat_models.ts | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/langchain-core/src/language_models/chat_models.ts b/langchain-core/src/language_models/chat_models.ts
index c7a5f84ed9fb..c20f5c1435c1 100644
--- a/langchain-core/src/language_models/chat_models.ts
+++ b/langchain-core/src/language_models/chat_models.ts
@@ -141,7 +141,7 @@ export type BindToolsInput =
 export abstract class BaseChatModel<
   CallOptions extends BaseChatModelCallOptions = BaseChatModelCallOptions,
   // TODO: Fix the parameter order on the next minor version.
-  OutputMessageType extends BaseMessageChunk = BaseMessageChunk
+  OutputMessageType extends BaseMessageChunk = AIMessageChunk
 > extends BaseLanguageModel<OutputMessageType, CallOptions> {
   // Backwards compatibility since fields have been moved to RunnableConfig
   declare ParsedCallOptions: Omit<

From 7fc8517c0591994f70e2f6ef15cb28d993ff6ab4 Mon Sep 17 00:00:00 2001
From: Magnar Ovedal Myrtveit <magnar@myrtveit.com>
Date: Tue, 1 Oct 2024 01:32:49 +0200
Subject: [PATCH 261/344] feat(core): Pass token usage in streamed chunks to
 callback handlers (#6885)

Co-authored-by: jacoblee93 <jacoblee93@gmail.com>
---
 .../src/language_models/chat_models.ts        | 32 ++++++++++++++++++-
 1 file changed, 31 insertions(+), 1 deletion(-)

diff --git a/langchain-core/src/language_models/chat_models.ts b/langchain-core/src/language_models/chat_models.ts
index c20f5c1435c1..43d820ed338f 100644
--- a/langchain-core/src/language_models/chat_models.ts
+++ b/langchain-core/src/language_models/chat_models.ts
@@ -8,6 +8,7 @@ import {
   HumanMessage,
   coerceMessageLikeToMessage,
   AIMessageChunk,
+  isAIMessageChunk,
 } from "../messages/index.js";
 import type { BasePromptValueInterface } from "../prompt_values.js";
 import {
@@ -258,6 +259,8 @@ export abstract class BaseChatModel<
         runnableConfig.runName
       );
       let generationChunk: ChatGenerationChunk | undefined;
+      // eslint-disable-next-line @typescript-eslint/no-explicit-any
+      let llmOutput: Record<string, any> | undefined;
       try {
         for await (const chunk of this._streamResponseChunks(
           messages,
@@ -278,6 +281,18 @@ export abstract class BaseChatModel<
           } else {
             generationChunk = generationChunk.concat(chunk);
           }
+          if (
+            isAIMessageChunk(chunk.message) &&
+            chunk.message.usage_metadata !== undefined
+          ) {
+            llmOutput = {
+              tokenUsage: {
+                promptTokens: chunk.message.usage_metadata.input_tokens,
+                completionTokens: chunk.message.usage_metadata.output_tokens,
+                totalTokens: chunk.message.usage_metadata.total_tokens,
+              },
+            };
+          }
         }
       } catch (err) {
         await Promise.all(
@@ -292,6 +307,7 @@ export abstract class BaseChatModel<
           runManager?.handleLLMEnd({
             // TODO: Remove cast after figuring out inheritance
             generations: [[generationChunk as ChatGeneration]],
+            llmOutput,
           })
         )
       );
@@ -365,6 +381,8 @@ export abstract class BaseChatModel<
           runManagers?.[0]
         );
         let aggregated;
+        // eslint-disable-next-line @typescript-eslint/no-explicit-any
+        let llmOutput: Record<string, any> | undefined;
         for await (const chunk of stream) {
           if (chunk.message.id == null) {
             const runId = runManagers?.at(0)?.runId;
@@ -375,6 +393,18 @@ export abstract class BaseChatModel<
           } else {
             aggregated = concat(aggregated, chunk);
           }
+          if (
+            isAIMessageChunk(chunk.message) &&
+            chunk.message.usage_metadata !== undefined
+          ) {
+            llmOutput = {
+              tokenUsage: {
+                promptTokens: chunk.message.usage_metadata.input_tokens,
+                completionTokens: chunk.message.usage_metadata.output_tokens,
+                totalTokens: chunk.message.usage_metadata.total_tokens,
+              },
+            };
+          }
         }
         if (aggregated === undefined) {
           throw new Error("Received empty response from chat model call.");
@@ -382,7 +412,7 @@ export abstract class BaseChatModel<
         generations.push([aggregated]);
         await runManagers?.[0].handleLLMEnd({
           generations,
-          llmOutput: {},
+          llmOutput,
         });
       } catch (e) {
         await runManagers?.[0].handleLLMError(e);

From 1392981c6d14cd9eeb2ec94f56fb0a65c3dc6f8e Mon Sep 17 00:00:00 2001
From: Brace Sproul <braceasproul@gmail.com>
Date: Mon, 30 Sep 2024 16:33:52 -0700
Subject: [PATCH 262/344] fix(scripts): Fix dist directory not empty error
 (#6909)

---
 libs/langchain-scripts/package.json | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/libs/langchain-scripts/package.json b/libs/langchain-scripts/package.json
index c64e1365c33f..c7aca4e17ea6 100644
--- a/libs/langchain-scripts/package.json
+++ b/libs/langchain-scripts/package.json
@@ -21,7 +21,7 @@
   "scripts": {
     "build": "yarn clean && yarn turbo:command build:internal --filter=@langchain/scripts",
     "build:internal": "tsc --project ./tsconfig.build.json && yarn move:artifacts && yarn build:generated",
-    "move:artifacts": "mkdir -p ./dist && mv ./dist_build/* ./dist/",
+    "move:artifacts": "rimraf dist && mkdir -p dist && mv dist_build/* dist/",
     "build:generated": "node bin/build.js --create-entrypoints --pre --tree-shaking",
     "build:turbo": "yarn turbo:command build --filter=@langchain/scripts",
     "lint:eslint": "NODE_OPTIONS=--max-old-space-size=4096 eslint --cache --ext .ts,.js src/",

From 0fc525eba98277013d2f9d2b3b9bc0f64f15228c Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Mon, 30 Sep 2024 16:45:40 -0700
Subject: [PATCH 263/344] chore(core): Release 0.3.5 (#6911)

---
 langchain-core/package.json | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/langchain-core/package.json b/langchain-core/package.json
index 12588d055f64..aecd4e88ca7b 100644
--- a/langchain-core/package.json
+++ b/langchain-core/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/core",
-  "version": "0.3.4",
+  "version": "0.3.5",
   "description": "Core LangChain.js abstractions and schemas",
   "type": "module",
   "engines": {

From 4f478f870d984f196f2d8e1ef2af7da89781ed1a Mon Sep 17 00:00:00 2001
From: Lakshya Agarwal <lakshya@memorang.com>
Date: Mon, 30 Sep 2024 20:23:51 -0400
Subject: [PATCH 264/344] fix(community): supabase comparison to string
 function (#6910)

---
 libs/langchain-community/src/structured_query/supabase.ts | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/libs/langchain-community/src/structured_query/supabase.ts b/libs/langchain-community/src/structured_query/supabase.ts
index 7f09b522d009..602f46bfebfa 100644
--- a/libs/langchain-community/src/structured_query/supabase.ts
+++ b/libs/langchain-community/src/structured_query/supabase.ts
@@ -224,7 +224,7 @@ export class SupabaseTranslator<
       attribute,
       value,
       false
-    )}.${comparator}.${value}}`;
+    )}.${comparator}.${value}`;
   }
 
   /**

From 54569d35347300a98c67c8252372ccdebd5d3b54 Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Tue, 1 Oct 2024 22:58:04 -0700
Subject: [PATCH 265/344] feat(core): Update mermaid drawing to support
 subgraphs (#6917)

---
 langchain-core/src/runnables/graph.ts         | 191 ++++++++++++------
 langchain-core/src/runnables/graph_mermaid.ts | 189 +++++++++--------
 .../src/runnables/tests/data/mermaid.png      | Bin 19879 -> 19659 bytes
 .../runnables/tests/runnable_graph.test.ts    |  16 +-
 langchain-core/src/runnables/types.ts         |   3 +
 5 files changed, 250 insertions(+), 149 deletions(-)

diff --git a/langchain-core/src/runnables/graph.ts b/langchain-core/src/runnables/graph.ts
index 1137b591da5c..9826af0afee9 100644
--- a/langchain-core/src/runnables/graph.ts
+++ b/langchain-core/src/runnables/graph.ts
@@ -9,31 +9,31 @@ import type {
 import { isRunnableInterface } from "./utils.js";
 import { drawMermaid, drawMermaidPng } from "./graph_mermaid.js";
 
-const MAX_DATA_DISPLAY_NAME_LENGTH = 42;
-
 export { Node, Edge };
 
-function nodeDataStr(node: Node): string {
-  if (!isUuid(node.id)) {
-    return node.id;
-  } else if (isRunnableInterface(node.data)) {
+function nodeDataStr(
+  id: string | undefined,
+  data: RunnableInterface | RunnableIOSchema
+): string {
+  if (id !== undefined && !isUuid(id)) {
+    return id;
+  } else if (isRunnableInterface(data)) {
     try {
-      let data = node.data.getName();
-      data = data.startsWith("Runnable") ? data.slice("Runnable".length) : data;
-      if (data.length > MAX_DATA_DISPLAY_NAME_LENGTH) {
-        data = `${data.substring(0, MAX_DATA_DISPLAY_NAME_LENGTH)}...`;
-      }
-      return data;
+      let dataStr = data.getName();
+      dataStr = dataStr.startsWith("Runnable")
+        ? dataStr.slice("Runnable".length)
+        : dataStr;
+      return dataStr;
     } catch (error) {
-      return node.data.getName();
+      return data.getName();
     }
   } else {
-    return node.data.name ?? "UnknownSchema";
+    return data.name ?? "UnknownSchema";
   }
 }
 
 function nodeDataJson(node: Node) {
-  // if node.data is implements Runnable
+  // if node.data implements Runnable
   if (isRunnableInterface(node.data)) {
     return {
       type: "runnable",
@@ -55,6 +55,11 @@ export class Graph {
 
   edges: Edge[] = [];
 
+  constructor(params?: { nodes: Record<string, Node>; edges: Edge[] }) {
+    this.nodes = params?.nodes ?? this.nodes;
+    this.edges = params?.edges ?? this.edges;
+  }
+
   // Convert the graph to a JSON-serializable format.
   // eslint-disable-next-line @typescript-eslint/no-explicit-any
   toJSON(): Record<string, any> {
@@ -86,12 +91,22 @@ export class Graph {
     };
   }
 
-  addNode(data: RunnableInterface | RunnableIOSchema, id?: string): Node {
+  addNode(
+    data: RunnableInterface | RunnableIOSchema,
+    id?: string,
+    // eslint-disable-next-line @typescript-eslint/no-explicit-any
+    metadata?: Record<string, any>
+  ): Node {
     if (id !== undefined && this.nodes[id] !== undefined) {
       throw new Error(`Node with id ${id} already exists`);
     }
-    const nodeId = id || uuidv4();
-    const node: Node = { id: nodeId, data };
+    const nodeId = id ?? uuidv4();
+    const node: Node = {
+      id: nodeId,
+      data,
+      name: nodeDataStr(id, data),
+      metadata,
+    };
     this.nodes[nodeId] = node;
     return node;
   }
@@ -129,25 +144,11 @@ export class Graph {
   }
 
   firstNode(): Node | undefined {
-    const targets = new Set(this.edges.map((edge) => edge.target));
-    const found: Node[] = [];
-    Object.values(this.nodes).forEach((node) => {
-      if (!targets.has(node.id)) {
-        found.push(node);
-      }
-    });
-    return found[0];
+    return _firstNode(this);
   }
 
   lastNode(): Node | undefined {
-    const sources = new Set(this.edges.map((edge) => edge.source));
-    const found: Node[] = [];
-    Object.values(this.nodes).forEach((node) => {
-      if (!sources.has(node.id)) {
-        found.push(node);
-      }
-    });
-    return found[0];
+    return _lastNode(this);
   }
 
   /**
@@ -188,28 +189,55 @@ export class Graph {
 
   trimFirstNode(): void {
     const firstNode = this.firstNode();
-    if (firstNode) {
-      const outgoingEdges = this.edges.filter(
-        (edge) => edge.source === firstNode.id
-      );
-      if (Object.keys(this.nodes).length === 1 || outgoingEdges.length === 1) {
-        this.removeNode(firstNode);
-      }
+    if (firstNode && _firstNode(this, [firstNode.id])) {
+      this.removeNode(firstNode);
     }
   }
 
   trimLastNode(): void {
     const lastNode = this.lastNode();
-    if (lastNode) {
-      const incomingEdges = this.edges.filter(
-        (edge) => edge.target === lastNode.id
-      );
-      if (Object.keys(this.nodes).length === 1 || incomingEdges.length === 1) {
-        this.removeNode(lastNode);
-      }
+    if (lastNode && _lastNode(this, [lastNode.id])) {
+      this.removeNode(lastNode);
     }
   }
 
+  /**
+   * Return a new graph with all nodes re-identified,
+   * using their unique, readable names where possible.
+   */
+  reid(): Graph {
+    const nodeLabels: Record<string, string> = Object.fromEntries(
+      Object.values(this.nodes).map((node) => [node.id, node.name])
+    );
+    const nodeLabelCounts = new Map<string, number>();
+    Object.values(nodeLabels).forEach((label) => {
+      nodeLabelCounts.set(label, (nodeLabelCounts.get(label) || 0) + 1);
+    });
+
+    const getNodeId = (nodeId: string): string => {
+      const label = nodeLabels[nodeId];
+      if (isUuid(nodeId) && nodeLabelCounts.get(label) === 1) {
+        return label;
+      } else {
+        return nodeId;
+      }
+    };
+
+    return new Graph({
+      nodes: Object.fromEntries(
+        Object.entries(this.nodes).map(([id, node]) => [
+          getNodeId(id),
+          { ...node, id: getNodeId(id) },
+        ])
+      ),
+      edges: this.edges.map((edge) => ({
+        ...edge,
+        source: getNodeId(edge.source),
+        target: getNodeId(edge.target),
+      })),
+    });
+  }
+
   drawMermaid(params?: {
     withStyles?: boolean;
     curveStyle?: string;
@@ -219,23 +247,21 @@ export class Graph {
     const {
       withStyles,
       curveStyle,
-      nodeColors = { start: "#ffdfba", end: "#baffc9", other: "#fad7de" },
+      nodeColors = {
+        default: "fill:#f2f0ff,line-height:1.2",
+        first: "fill-opacity:0",
+        last: "fill:#bfb6fc",
+      },
       wrapLabelNWords,
     } = params ?? {};
-    const nodes: Record<string, string> = {};
-    for (const node of Object.values(this.nodes)) {
-      nodes[node.id] = nodeDataStr(node);
-    }
+    const graph = this.reid();
+    const firstNode = graph.firstNode();
 
-    const firstNode = this.firstNode();
-    const firstNodeLabel = firstNode ? nodeDataStr(firstNode) : undefined;
-
-    const lastNode = this.lastNode();
-    const lastNodeLabel = lastNode ? nodeDataStr(lastNode) : undefined;
+    const lastNode = graph.lastNode();
 
-    return drawMermaid(nodes, this.edges, {
-      firstNodeLabel,
-      lastNodeLabel,
+    return drawMermaid(graph.nodes, graph.edges, {
+      firstNode: firstNode?.id,
+      lastNode: lastNode?.id,
       withStyles,
       curveStyle,
       nodeColors,
@@ -256,3 +282,46 @@ export class Graph {
     });
   }
 }
+/**
+ * Find the single node that is not a target of any edge.
+ * Exclude nodes/sources with ids in the exclude list.
+ * If there is no such node, or there are multiple, return undefined.
+ * When drawing the graph, this node would be the origin.
+ */
+function _firstNode(graph: Graph, exclude: string[] = []): Node | undefined {
+  const targets = new Set(
+    graph.edges
+      .filter((edge) => !exclude.includes(edge.source))
+      .map((edge) => edge.target)
+  );
+
+  const found: Node[] = [];
+  for (const node of Object.values(graph.nodes)) {
+    if (!exclude.includes(node.id) && !targets.has(node.id)) {
+      found.push(node);
+    }
+  }
+  return found.length === 1 ? found[0] : undefined;
+}
+
+/**
+ * Find the single node that is not a source of any edge.
+ * Exclude nodes/targets with ids in the exclude list.
+ * If there is no such node, or there are multiple, return undefined.
+ * When drawing the graph, this node would be the destination.
+ */
+function _lastNode(graph: Graph, exclude: string[] = []): Node | undefined {
+  const sources = new Set(
+    graph.edges
+      .filter((edge) => !exclude.includes(edge.target))
+      .map((edge) => edge.source)
+  );
+
+  const found: Node[] = [];
+  for (const node of Object.values(graph.nodes)) {
+    if (!exclude.includes(node.id) && !sources.has(node.id)) {
+      found.push(node);
+    }
+  }
+  return found.length === 1 ? found[0] : undefined;
+}
diff --git a/langchain-core/src/runnables/graph_mermaid.ts b/langchain-core/src/runnables/graph_mermaid.ts
index 918fe07c9703..8bf296da29bc 100644
--- a/langchain-core/src/runnables/graph_mermaid.ts
+++ b/langchain-core/src/runnables/graph_mermaid.ts
@@ -1,23 +1,18 @@
-import { Edge } from "./types.js";
+import { Edge, Node } from "./types.js";
 
 function _escapeNodeLabel(nodeLabel: string): string {
   // Escapes the node label for Mermaid syntax.
   return nodeLabel.replace(/[^a-zA-Z-_0-9]/g, "_");
 }
 
-// Adjusts Mermaid edge to map conditional nodes to pure nodes.
-function _adjustMermaidEdge(edge: Edge, nodes: Record<string, string>) {
-  const sourceNodeLabel = nodes[edge.source] ?? edge.source;
-  const targetNodeLabel = nodes[edge.target] ?? edge.target;
-  return [sourceNodeLabel, targetNodeLabel];
-}
+const MARKDOWN_SPECIAL_CHARS = ["*", "_", "`"];
 
 function _generateMermaidGraphStyles(
   nodeColors: Record<string, string>
 ): string {
   let styles = "";
   for (const [className, color] of Object.entries(nodeColors)) {
-    styles += `\tclassDef ${className}class fill:${color};\n`;
+    styles += `\tclassDef ${className} ${color};\n`;
   }
   return styles;
 }
@@ -26,11 +21,11 @@ function _generateMermaidGraphStyles(
  * Draws a Mermaid graph using the provided graph data
  */
 export function drawMermaid(
-  nodes: Record<string, string>,
+  nodes: Record<string, Node>,
   edges: Edge[],
   config?: {
-    firstNodeLabel?: string;
-    lastNodeLabel?: string;
+    firstNode?: string;
+    lastNode?: string;
     curveStyle?: string;
     withStyles?: boolean;
     nodeColors?: Record<string, string>;
@@ -38,8 +33,8 @@ export function drawMermaid(
   }
 ): string {
   const {
-    firstNodeLabel,
-    lastNodeLabel,
+    firstNode,
+    lastNode,
     nodeColors,
     withStyles = true,
     curveStyle = "linear",
@@ -53,92 +48,126 @@ export function drawMermaid(
     // Node formatting templates
     const defaultClassLabel = "default";
     const formatDict: Record<string, string> = {
-      [defaultClassLabel]: "{0}([{1}]):::otherclass",
+      [defaultClassLabel]: "{0}({1})",
     };
-    if (firstNodeLabel !== undefined) {
-      formatDict[firstNodeLabel] = "{0}[{0}]:::startclass";
+    if (firstNode !== undefined) {
+      formatDict[firstNode] = "{0}([{1}]):::first";
     }
-    if (lastNodeLabel !== undefined) {
-      formatDict[lastNodeLabel] = "{0}[{0}]:::endclass";
+    if (lastNode !== undefined) {
+      formatDict[lastNode] = "{0}([{1}]):::last";
     }
 
     // Add nodes to the graph
-    for (const node of Object.values(nodes)) {
-      const nodeLabel = formatDict[node] ?? formatDict[defaultClassLabel];
-      const escapedNodeLabel = _escapeNodeLabel(node);
-      const nodeParts = node.split(":");
-      const nodeSplit = nodeParts[nodeParts.length - 1];
-      mermaidGraph += `\t${nodeLabel
-        .replace(/\{0\}/g, escapedNodeLabel)
-        .replace(/\{1\}/g, nodeSplit)};\n`;
+    for (const [key, node] of Object.entries(nodes)) {
+      const nodeName = node.name.split(":").pop() ?? "";
+      const label = MARKDOWN_SPECIAL_CHARS.some(
+        (char) => nodeName.startsWith(char) && nodeName.endsWith(char)
+      )
+        ? `<p>${nodeName}</p>`
+        : nodeName;
+
+      let finalLabel = label;
+      if (Object.keys(node.metadata ?? {}).length) {
+        finalLabel += `<hr/><small><em>${Object.entries(node.metadata ?? {})
+          .map(([k, v]) => `${k} = ${v}`)
+          .join("\n")}</em></small>`;
+      }
+
+      const nodeLabel = (formatDict[key] ?? formatDict[defaultClassLabel])
+        .replace("{0}", _escapeNodeLabel(key))
+        .replace("{1}", finalLabel);
+
+      mermaidGraph += `\t${nodeLabel}\n`;
     }
   }
-  let subgraph = "";
-  // Add edges to the graph
+
+  // Group edges by their common prefixes
+  const edgeGroups: Record<string, Edge[]> = {};
   for (const edge of edges) {
-    const sourcePrefix = edge.source.includes(":")
-      ? edge.source.split(":")[0]
-      : undefined;
-    const targetPrefix = edge.target.includes(":")
-      ? edge.target.split(":")[0]
-      : undefined;
-    // Exit subgraph if source or target is not in the same subgraph
-    if (
-      subgraph !== "" &&
-      (subgraph !== sourcePrefix || subgraph !== targetPrefix)
-    ) {
-      mermaidGraph += "\tend\n";
-      subgraph = "";
+    const srcParts = edge.source.split(":");
+    const tgtParts = edge.target.split(":");
+    const commonPrefix = srcParts
+      .filter((src, i) => src === tgtParts[i])
+      .join(":");
+    if (!edgeGroups[commonPrefix]) {
+      edgeGroups[commonPrefix] = [];
     }
-    // Enter subgraph if source and target are in the same subgraph
-    if (
-      subgraph === "" &&
-      sourcePrefix !== undefined &&
-      sourcePrefix === targetPrefix
-    ) {
-      mermaidGraph = `\tsubgraph ${sourcePrefix}\n`;
-      subgraph = sourcePrefix;
-    }
-    const [source, target] = _adjustMermaidEdge(edge, nodes);
-    let edgeLabel = "";
-    // Add BR every wrapLabelNWords words
-    if (edge.data !== undefined) {
-      let edgeData = edge.data;
-      const words = edgeData.split(" ");
-      // Group words into chunks of wrapLabelNWords size
-      if (words.length > wrapLabelNWords) {
-        edgeData = words
-          .reduce((acc: string[], word: string, i: number) => {
-            if (i % wrapLabelNWords === 0) acc.push("");
-            acc[acc.length - 1] += ` ${word}`;
-            return acc;
-          }, [])
-          .join("<br>");
+    edgeGroups[commonPrefix].push(edge);
+  }
+
+  const seenSubgraphs = new Set<string>();
+
+  function addSubgraph(edges: Edge[], prefix: string): void {
+    const selfLoop = edges.length === 1 && edges[0].source === edges[0].target;
+    if (prefix && !selfLoop) {
+      const subgraph = prefix.split(":").pop()!;
+      if (seenSubgraphs.has(subgraph)) {
+        throw new Error(
+          `Found duplicate subgraph '${subgraph}' -- this likely means that ` +
+            "you're reusing a subgraph node with the same name. " +
+            "Please adjust your graph to have subgraph nodes with unique names."
+        );
       }
-      if (edge.conditional) {
-        edgeLabel = ` -. ${edgeData} .-> `;
+
+      seenSubgraphs.add(subgraph);
+      mermaidGraph += `\tsubgraph ${subgraph}\n`;
+    }
+
+    for (const edge of edges) {
+      const { source, target, data, conditional } = edge;
+
+      let edgeLabel = "";
+      if (data !== undefined) {
+        let edgeData = data;
+        const words = edgeData.split(" ");
+        if (words.length > wrapLabelNWords) {
+          edgeData = Array.from(
+            { length: Math.ceil(words.length / wrapLabelNWords) },
+            (_, i) =>
+              words
+                .slice(i * wrapLabelNWords, (i + 1) * wrapLabelNWords)
+                .join(" ")
+          ).join("&nbsp;<br>&nbsp;");
+        }
+        edgeLabel = conditional
+          ? ` -. &nbsp;${edgeData}&nbsp; .-> `
+          : ` -- &nbsp;${edgeData}&nbsp; --> `;
       } else {
-        edgeLabel = ` -- ${edgeData} --> `;
+        edgeLabel = conditional ? " -.-> " : " --> ";
       }
-    } else {
-      if (edge.conditional) {
-        edgeLabel = ` -.-> `;
-      } else {
-        edgeLabel = ` --> `;
+
+      mermaidGraph += `\t${_escapeNodeLabel(
+        source
+      )}${edgeLabel}${_escapeNodeLabel(target)};\n`;
+    }
+
+    // Recursively add nested subgraphs
+    for (const nestedPrefix in edgeGroups) {
+      if (nestedPrefix.startsWith(`${prefix}:`) && nestedPrefix !== prefix) {
+        addSubgraph(edgeGroups[nestedPrefix], nestedPrefix);
       }
     }
-    mermaidGraph += `\t${_escapeNodeLabel(
-      source
-    )}${edgeLabel}${_escapeNodeLabel(target)};\n`;
+
+    if (prefix && !selfLoop) {
+      mermaidGraph += "\tend\n";
+    }
   }
-  if (subgraph !== "") {
-    mermaidGraph += "end\n";
+
+  // Start with the top-level edges (no common prefix)
+  addSubgraph(edgeGroups[""] ?? [], "");
+
+  // Add remaining subgraphs
+  for (const prefix in edgeGroups) {
+    if (!prefix.includes(":") && prefix !== "") {
+      addSubgraph(edgeGroups[prefix], prefix);
+    }
   }
 
   // Add custom styles for nodes
-  if (withStyles && nodeColors !== undefined) {
-    mermaidGraph += _generateMermaidGraphStyles(nodeColors);
+  if (withStyles) {
+    mermaidGraph += _generateMermaidGraphStyles(nodeColors ?? {});
   }
+
   return mermaidGraph;
 }
 
diff --git a/langchain-core/src/runnables/tests/data/mermaid.png b/langchain-core/src/runnables/tests/data/mermaid.png
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diff --git a/langchain-core/src/runnables/tests/runnable_graph.test.ts b/langchain-core/src/runnables/tests/runnable_graph.test.ts
index ead8eb472e30..877c9d1d5ed6 100644
--- a/langchain-core/src/runnables/tests/runnable_graph.test.ts
+++ b/langchain-core/src/runnables/tests/runnable_graph.test.ts
@@ -91,17 +91,17 @@ test("Test graph sequence", async () => {
   expect(graph.drawMermaid())
     .toEqual(`%%{init: {'flowchart': {'curve': 'linear'}}}%%
 graph TD;
-\tPromptTemplateInput[PromptTemplateInput]:::startclass;
-\tPromptTemplate([PromptTemplate]):::otherclass;
-\tFakeLLM([FakeLLM]):::otherclass;
-\tCommaSeparatedListOutputParser([CommaSeparatedListOutputParser]):::otherclass;
-\tCommaSeparatedListOutputParserOutput[CommaSeparatedListOutputParserOutput]:::endclass;
+\tPromptTemplateInput([PromptTemplateInput]):::first
+\tPromptTemplate(PromptTemplate)
+\tFakeLLM(FakeLLM)
+\tCommaSeparatedListOutputParser(CommaSeparatedListOutputParser)
+\tCommaSeparatedListOutputParserOutput([CommaSeparatedListOutputParserOutput]):::last
 \tPromptTemplateInput --> PromptTemplate;
 \tPromptTemplate --> FakeLLM;
 \tCommaSeparatedListOutputParser --> CommaSeparatedListOutputParserOutput;
 \tFakeLLM --> CommaSeparatedListOutputParser;
-\tclassDef startclass fill:#ffdfba;
-\tclassDef endclass fill:#baffc9;
-\tclassDef otherclass fill:#fad7de;
+\tclassDef default fill:#f2f0ff,line-height:1.2;
+\tclassDef first fill-opacity:0;
+\tclassDef last fill:#bfb6fc;
 `);
 });
diff --git a/langchain-core/src/runnables/types.ts b/langchain-core/src/runnables/types.ts
index e7ddfa8c3852..26c40bcfdd4e 100644
--- a/langchain-core/src/runnables/types.ts
+++ b/langchain-core/src/runnables/types.ts
@@ -71,7 +71,10 @@ export interface Edge {
 
 export interface Node {
   id: string;
+  name: string;
   data: RunnableIOSchema | RunnableInterface;
+  // eslint-disable-next-line @typescript-eslint/no-explicit-any
+  metadata?: Record<string, any>;
 }
 
 export interface RunnableConfig extends BaseCallbackConfig {

From d1a9212288b87bf72db2dcda5fb7a5e96a986c87 Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Tue, 1 Oct 2024 23:05:54 -0700
Subject: [PATCH 266/344] chore(core): Release 0.3.6 (#6918)

---
 langchain-core/package.json | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/langchain-core/package.json b/langchain-core/package.json
index aecd4e88ca7b..4a7c7bee985a 100644
--- a/langchain-core/package.json
+++ b/langchain-core/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/core",
-  "version": "0.3.5",
+  "version": "0.3.6",
   "description": "Core LangChain.js abstractions and schemas",
   "type": "module",
   "engines": {

From 870f9bf2d8a32b97a98fb1ed6b012e8e762d5067 Mon Sep 17 00:00:00 2001
From: Brace Sproul <braceasproul@gmail.com>
Date: Wed, 2 Oct 2024 09:28:48 -0700
Subject: [PATCH 267/344] feat(docs): Add migrating memory docs (#6873)

---
 docs/core_docs/.gitignore                     |   32 +-
 .../docs/how_to/chatbots_memory.ipynb         | 1412 +++++--------
 .../docs/how_to/chatbots_retrieval.ipynb      |    1 +
 .../docs/how_to/chatbots_tools.ipynb          |  611 +++---
 .../docs/how_to/message_history.ipynb         |  586 ++++++
 .../core_docs/docs/how_to/message_history.mdx |  206 --
 .../docs/how_to/qa_chat_history_how_to.ipynb  | 1110 ++++++++--
 docs/core_docs/docs/tutorials/chatbot.ipynb   | 1201 +++++++----
 .../docs/tutorials/qa_chat_history.ipynb      | 1800 +++++++++++++----
 .../migrating_memory/chat_history.ipynb       |  268 +++
 .../conversation_buffer_window_memory.ipynb   |  643 ++++++
 .../conversation_summary_memory.ipynb         |   45 +
 .../docs/versions/migrating_memory/index.mdx  |  139 ++
 .../v0_2/migrating_astream_events.mdx         |    2 +-
 docs/core_docs/sidebars.js                    |   30 +-
 .../img/conversational_retrieval_chain.png    |  Bin 0 -> 92811 bytes
 16 files changed, 5695 insertions(+), 2391 deletions(-)
 create mode 100644 docs/core_docs/docs/how_to/message_history.ipynb
 delete mode 100644 docs/core_docs/docs/how_to/message_history.mdx
 create mode 100644 docs/core_docs/docs/versions/migrating_memory/chat_history.ipynb
 create mode 100644 docs/core_docs/docs/versions/migrating_memory/conversation_buffer_window_memory.ipynb
 create mode 100644 docs/core_docs/docs/versions/migrating_memory/conversation_summary_memory.ipynb
 create mode 100644 docs/core_docs/docs/versions/migrating_memory/index.mdx
 create mode 100644 docs/core_docs/static/img/conversational_retrieval_chain.png

diff --git a/docs/core_docs/.gitignore b/docs/core_docs/.gitignore
index 5b3735122408..4ddd437b5101 100644
--- a/docs/core_docs/.gitignore
+++ b/docs/core_docs/.gitignore
@@ -138,6 +138,8 @@ docs/how_to/multimodal_inputs.md
 docs/how_to/multimodal_inputs.mdx
 docs/how_to/migrate_agent.md
 docs/how_to/migrate_agent.mdx
+docs/how_to/message_history.md
+docs/how_to/message_history.mdx
 docs/how_to/merge_message_runs.md
 docs/how_to/merge_message_runs.mdx
 docs/how_to/logprobs.md
@@ -198,14 +200,14 @@ docs/how_to/character_text_splitter.md
 docs/how_to/character_text_splitter.mdx
 docs/how_to/cancel_execution.md
 docs/how_to/cancel_execution.mdx
+docs/how_to/callbacks_serverless.md
+docs/how_to/callbacks_serverless.mdx
 docs/how_to/callbacks_runtime.md
 docs/how_to/callbacks_runtime.mdx
 docs/how_to/callbacks_custom_events.md
 docs/how_to/callbacks_custom_events.mdx
 docs/how_to/callbacks_constructor.md
 docs/how_to/callbacks_constructor.mdx
-docs/how_to/callbacks_backgrounding.md
-docs/how_to/callbacks_backgrounding.mdx
 docs/how_to/callbacks_attach.md
 docs/how_to/callbacks_attach.mdx
 docs/how_to/binding.md
@@ -214,6 +216,12 @@ docs/how_to/assign.md
 docs/how_to/assign.mdx
 docs/how_to/agent_executor.md
 docs/how_to/agent_executor.mdx
+docs/versions/migrating_memory/conversation_summary_memory.md
+docs/versions/migrating_memory/conversation_summary_memory.mdx
+docs/versions/migrating_memory/conversation_buffer_window_memory.md
+docs/versions/migrating_memory/conversation_buffer_window_memory.mdx
+docs/versions/migrating_memory/chat_history.md
+docs/versions/migrating_memory/chat_history.mdx
 docs/integrations/vectorstores/weaviate.md
 docs/integrations/vectorstores/weaviate.mdx
 docs/integrations/vectorstores/upstash.md
@@ -252,10 +260,6 @@ docs/integrations/toolkits/sql.md
 docs/integrations/toolkits/sql.mdx
 docs/integrations/toolkits/openapi.md
 docs/integrations/toolkits/openapi.mdx
-docs/integrations/stores/in_memory.md
-docs/integrations/stores/in_memory.mdx
-docs/integrations/stores/file_system.md
-docs/integrations/stores/file_system.mdx
 docs/integrations/text_embedding/togetherai.md
 docs/integrations/text_embedding/togetherai.mdx
 docs/integrations/text_embedding/openai.md
@@ -278,12 +282,18 @@ docs/integrations/text_embedding/bedrock.md
 docs/integrations/text_embedding/bedrock.mdx
 docs/integrations/text_embedding/azure_openai.md
 docs/integrations/text_embedding/azure_openai.mdx
+docs/integrations/stores/in_memory.md
+docs/integrations/stores/in_memory.mdx
+docs/integrations/stores/file_system.md
+docs/integrations/stores/file_system.mdx
 docs/integrations/retrievers/tavily.md
 docs/integrations/retrievers/tavily.mdx
 docs/integrations/retrievers/kendra-retriever.md
 docs/integrations/retrievers/kendra-retriever.mdx
 docs/integrations/retrievers/exa.md
 docs/integrations/retrievers/exa.mdx
+docs/integrations/retrievers/bm25.md
+docs/integrations/retrievers/bm25.mdx
 docs/integrations/retrievers/bedrock-knowledge-bases.md
 docs/integrations/retrievers/bedrock-knowledge-bases.mdx
 docs/integrations/llms/together.md
@@ -304,10 +314,10 @@ docs/integrations/llms/cloudflare_workersai.md
 docs/integrations/llms/cloudflare_workersai.mdx
 docs/integrations/llms/bedrock.md
 docs/integrations/llms/bedrock.mdx
-docs/integrations/llms/arcjet.md
-docs/integrations/llms/arcjet.mdx
 docs/integrations/llms/azure.md
 docs/integrations/llms/azure.mdx
+docs/integrations/llms/arcjet.md
+docs/integrations/llms/arcjet.mdx
 docs/integrations/chat/togetherai.md
 docs/integrations/chat/togetherai.mdx
 docs/integrations/chat/openai.md
@@ -332,10 +342,10 @@ docs/integrations/chat/bedrock_converse.md
 docs/integrations/chat/bedrock_converse.mdx
 docs/integrations/chat/bedrock.md
 docs/integrations/chat/bedrock.mdx
-docs/integrations/chat/arcjet.md
-docs/integrations/chat/arcjet.mdx
 docs/integrations/chat/azure.md
 docs/integrations/chat/azure.mdx
+docs/integrations/chat/arcjet.md
+docs/integrations/chat/arcjet.mdx
 docs/integrations/chat/anthropic.md
 docs/integrations/chat/anthropic.mdx
 docs/integrations/retrievers/self_query/weaviate.md
@@ -375,4 +385,4 @@ docs/integrations/document_loaders/file_loaders/pdf.mdx
 docs/integrations/document_loaders/file_loaders/directory.md
 docs/integrations/document_loaders/file_loaders/directory.mdx
 docs/integrations/document_loaders/file_loaders/csv.md
-docs/integrations/document_loaders/file_loaders/csv.mdx
+docs/integrations/document_loaders/file_loaders/csv.mdx
\ No newline at end of file
diff --git a/docs/core_docs/docs/how_to/chatbots_memory.ipynb b/docs/core_docs/docs/how_to/chatbots_memory.ipynb
index e41b3f1bb465..197a11eab4c5 100644
--- a/docs/core_docs/docs/how_to/chatbots_memory.ipynb
+++ b/docs/core_docs/docs/how_to/chatbots_memory.ipynb
@@ -1,18 +1,19 @@
 {
  "cells": [
+  {
+   "cell_type": "raw",
+   "metadata": {},
+   "source": [
+    "---\n",
+    "sidebar_position: 1\n",
+    "---"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# How to manage memory\n",
-    "\n",
-    ":::info Prerequisites\n",
-    "\n",
-    "This guide assumes familiarity with the following:\n",
-    "\n",
-    "- [Chatbots](/docs/tutorials/chatbot)\n",
-    "\n",
-    ":::\n",
+    "# How to add memory to chatbots\n",
     "\n",
     "A key feature of chatbots is their ability to use content of previous conversation turns as context. This state management can take several forms, including:\n",
     "\n",
@@ -20,18 +21,29 @@
     "- The above, but trimming old messages to reduce the amount of distracting information the model has to deal with.\n",
     "- More complex modifications like synthesizing summaries for long running conversations.\n",
     "\n",
-    "We’ll go into more detail on a few techniques below!"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
+    "We'll go into more detail on a few techniques below!\n",
+    "\n",
+    ":::note\n",
+    "\n",
+    "This how-to guide previously built a chatbot using [RunnableWithMessageHistory](https://v03.api.js.langchain.com/classes/_langchain_core.runnables.RunnableWithMessageHistory.html). You can access this version of the tutorial in the [v0.2 docs](https://js.langchain.com/v0.2/docs/how_to/chatbots_memory/).\n",
+    "\n",
+    "The LangGraph implementation offers a number of advantages over `RunnableWithMessageHistory`, including the ability to persist arbitrary components of an application's state (instead of only messages).\n",
+    "\n",
+    ":::\n",
+    "\n",
     "## Setup\n",
     "\n",
-    "You’ll need to install a few packages, and set any LLM API keys:\n",
+    "You'll need to install a few packages, select your chat model, and set its enviroment variable.\n",
+    "\n",
+    "```{=mdx}\n",
+    "import Npm2Yarn from \"@theme/Npm2Yarn\"\n",
+    "\n",
+    "<Npm2Yarn>\n",
+    "  @langchain/core @langchain/langgraph\n",
+    "</Npm2Yarn>\n",
+    "```\n",
     "\n",
-    "Let’s also set up a chat model that we’ll use for the below examples:\n",
+    "Let's set up a chat model that we'll use for the below examples.\n",
     "\n",
     "```{=mdx}\n",
     "import ChatModelTabs from \"@theme/ChatModelTabs\";\n",
@@ -46,42 +58,53 @@
    "source": [
     "## Message passing\n",
     "\n",
-    "The simplest form of memory is simply passing chat history messages into a chain. Here’s an example:"
+    "The simplest form of memory is simply passing chat history messages into a chain. Here's an example:"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 22,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "// @lc-docs-hide-cell\n",
+    "\n",
+    "import { ChatOpenAI } from \"@langchain/openai\";\n",
+    "\n",
+    "const llm = new ChatOpenAI({ model: \"gpt-4o\" })"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
    "metadata": {},
    "outputs": [
     {
-     "data": {
-      "text/plain": [
-       "AIMessage {\n",
-       "  lc_serializable: \u001b[33mtrue\u001b[39m,\n",
-       "  lc_kwargs: {\n",
-       "    content: \u001b[32m`I said \"J'adore la programmation,\" which means \"I love programming\" in French.`\u001b[39m,\n",
-       "    tool_calls: [],\n",
-       "    invalid_tool_calls: [],\n",
-       "    additional_kwargs: { function_call: \u001b[90mundefined\u001b[39m, tool_calls: \u001b[90mundefined\u001b[39m },\n",
-       "    response_metadata: {}\n",
-       "  },\n",
-       "  lc_namespace: [ \u001b[32m\"langchain_core\"\u001b[39m, \u001b[32m\"messages\"\u001b[39m ],\n",
-       "  content: \u001b[32m`I said \"J'adore la programmation,\" which means \"I love programming\" in French.`\u001b[39m,\n",
-       "  name: \u001b[90mundefined\u001b[39m,\n",
-       "  additional_kwargs: { function_call: \u001b[90mundefined\u001b[39m, tool_calls: \u001b[90mundefined\u001b[39m },\n",
-       "  response_metadata: {\n",
-       "    tokenUsage: { completionTokens: \u001b[33m21\u001b[39m, promptTokens: \u001b[33m61\u001b[39m, totalTokens: \u001b[33m82\u001b[39m },\n",
-       "    finish_reason: \u001b[32m\"stop\"\u001b[39m\n",
-       "  },\n",
-       "  tool_calls: [],\n",
-       "  invalid_tool_calls: []\n",
-       "}"
-      ]
-     },
-     "execution_count": 2,
-     "metadata": {},
-     "output_type": "execute_result"
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "AIMessage {\n",
+      "  \"id\": \"chatcmpl-ABSxUXVIBitFRBh9MpasB5jeEHfCA\",\n",
+      "  \"content\": \"I said \\\"J'adore la programmation,\\\" which means \\\"I love programming\\\" in French.\",\n",
+      "  \"additional_kwargs\": {},\n",
+      "  \"response_metadata\": {\n",
+      "    \"tokenUsage\": {\n",
+      "      \"completionTokens\": 18,\n",
+      "      \"promptTokens\": 58,\n",
+      "      \"totalTokens\": 76\n",
+      "    },\n",
+      "    \"finish_reason\": \"stop\",\n",
+      "    \"system_fingerprint\": \"fp_e375328146\"\n",
+      "  },\n",
+      "  \"tool_calls\": [],\n",
+      "  \"invalid_tool_calls\": [],\n",
+      "  \"usage_metadata\": {\n",
+      "    \"input_tokens\": 58,\n",
+      "    \"output_tokens\": 18,\n",
+      "    \"total_tokens\": 76\n",
+      "  }\n",
+      "}\n"
+     ]
     }
    ],
    "source": [
@@ -119,303 +142,191 @@
     "We can see that by passing the previous conversation into a chain, it can use it as context to answer questions. This is the basic concept underpinning chatbot memory - the rest of the guide will demonstrate convenient techniques for passing or reformatting messages."
    ]
   },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Chat history\n",
-    "\n",
-    "It’s perfectly fine to store and pass messages directly as an array, but we can use LangChain’s built-in message history class to store and load messages as well. Instances of this class are responsible for storing and loading chat messages from persistent storage. LangChain integrates with many providers but for this demo we will use an ephemeral demo class.\n",
-    "\n",
-    "Here’s an example of the API:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "[\n",
-       "  HumanMessage {\n",
-       "    lc_serializable: \u001b[33mtrue\u001b[39m,\n",
-       "    lc_kwargs: {\n",
-       "      content: \u001b[32m\"Translate this sentence from English to French: I love programming.\"\u001b[39m,\n",
-       "      additional_kwargs: {},\n",
-       "      response_metadata: {}\n",
-       "    },\n",
-       "    lc_namespace: [ \u001b[32m\"langchain_core\"\u001b[39m, \u001b[32m\"messages\"\u001b[39m ],\n",
-       "    content: \u001b[32m\"Translate this sentence from English to French: I love programming.\"\u001b[39m,\n",
-       "    name: \u001b[90mundefined\u001b[39m,\n",
-       "    additional_kwargs: {},\n",
-       "    response_metadata: {}\n",
-       "  },\n",
-       "  AIMessage {\n",
-       "    lc_serializable: \u001b[33mtrue\u001b[39m,\n",
-       "    lc_kwargs: {\n",
-       "      content: \u001b[32m\"J'adore la programmation.\"\u001b[39m,\n",
-       "      tool_calls: [],\n",
-       "      invalid_tool_calls: [],\n",
-       "      additional_kwargs: {},\n",
-       "      response_metadata: {}\n",
-       "    },\n",
-       "    lc_namespace: [ \u001b[32m\"langchain_core\"\u001b[39m, \u001b[32m\"messages\"\u001b[39m ],\n",
-       "    content: \u001b[32m\"J'adore la programmation.\"\u001b[39m,\n",
-       "    name: \u001b[90mundefined\u001b[39m,\n",
-       "    additional_kwargs: {},\n",
-       "    response_metadata: {},\n",
-       "    tool_calls: [],\n",
-       "    invalid_tool_calls: []\n",
-       "  }\n",
-       "]"
-      ]
-     },
-     "execution_count": 3,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "import { ChatMessageHistory } from \"langchain/stores/message/in_memory\";\n",
-    "\n",
-    "const demoEphemeralChatMessageHistory = new ChatMessageHistory();\n",
-    "\n",
-    "await demoEphemeralChatMessageHistory.addMessage(\n",
-    "  new HumanMessage(\n",
-    "    \"Translate this sentence from English to French: I love programming.\"\n",
-    "  )\n",
-    ");\n",
-    "\n",
-    "await demoEphemeralChatMessageHistory.addMessage(\n",
-    "  new AIMessage(\"J'adore la programmation.\")\n",
-    ");\n",
-    "\n",
-    "await demoEphemeralChatMessageHistory.getMessages();"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "We can use it directly to store conversation turns for our chain:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "AIMessage {\n",
-       "  lc_serializable: \u001b[33mtrue\u001b[39m,\n",
-       "  lc_kwargs: {\n",
-       "    content: \u001b[32m'You just asked me to translate the sentence \"I love programming\" from English to French.'\u001b[39m,\n",
-       "    tool_calls: [],\n",
-       "    invalid_tool_calls: [],\n",
-       "    additional_kwargs: { function_call: \u001b[90mundefined\u001b[39m, tool_calls: \u001b[90mundefined\u001b[39m },\n",
-       "    response_metadata: {}\n",
-       "  },\n",
-       "  lc_namespace: [ \u001b[32m\"langchain_core\"\u001b[39m, \u001b[32m\"messages\"\u001b[39m ],\n",
-       "  content: \u001b[32m'You just asked me to translate the sentence \"I love programming\" from English to French.'\u001b[39m,\n",
-       "  name: \u001b[90mundefined\u001b[39m,\n",
-       "  additional_kwargs: { function_call: \u001b[90mundefined\u001b[39m, tool_calls: \u001b[90mundefined\u001b[39m },\n",
-       "  response_metadata: {\n",
-       "    tokenUsage: { completionTokens: \u001b[33m18\u001b[39m, promptTokens: \u001b[33m73\u001b[39m, totalTokens: \u001b[33m91\u001b[39m },\n",
-       "    finish_reason: \u001b[32m\"stop\"\u001b[39m\n",
-       "  },\n",
-       "  tool_calls: [],\n",
-       "  invalid_tool_calls: []\n",
-       "}"
-      ]
-     },
-     "execution_count": 4,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "await demoEphemeralChatMessageHistory.clear();\n",
-    "\n",
-    "const input1 =\n",
-    "  \"Translate this sentence from English to French: I love programming.\";\n",
-    "\n",
-    "await demoEphemeralChatMessageHistory.addMessage(new HumanMessage(input1));\n",
-    "\n",
-    "const response = await chain.invoke({\n",
-    "  messages: await demoEphemeralChatMessageHistory.getMessages(),\n",
-    "});\n",
-    "\n",
-    "await demoEphemeralChatMessageHistory.addMessage(response);\n",
-    "\n",
-    "const input2 = \"What did I just ask you?\";\n",
-    "\n",
-    "await demoEphemeralChatMessageHistory.addMessage(new HumanMessage(input2));\n",
-    "\n",
-    "await chain.invoke({\n",
-    "  messages: await demoEphemeralChatMessageHistory.getMessages(),\n",
-    "});"
-   ]
-  },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
     "## Automatic history management\n",
     "\n",
-    "The previous examples pass messages to the chain explicitly. This is a completely acceptable approach, but it does require external management of new messages. LangChain also includes an wrapper for LCEL chains that can handle this process automatically called `RunnableWithMessageHistory`.\n",
-    "\n",
-    "To show how it works, let’s slightly modify the above prompt to take a final `input` variable that populates a `HumanMessage` template after the chat history. This means that we will expect a `chat_history` parameter that contains all messages BEFORE the current messages instead of all messages:"
+    "The previous examples pass messages to the chain (and model) explicitly. This is a completely acceptable approach, but it does require external management of new messages. LangChain also provides a way to build applications that have memory using LangGraph's persistence. You can enable persistence in LangGraph applications by providing a `checkpointer` when compiling the graph."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 24,
    "metadata": {},
    "outputs": [],
    "source": [
-    "const runnableWithMessageHistoryPrompt = ChatPromptTemplate.fromMessages([\n",
-    "  [\n",
-    "    \"system\",\n",
-    "    \"You are a helpful assistant. Answer all questions to the best of your ability.\",\n",
-    "  ],\n",
-    "  new MessagesPlaceholder(\"chat_history\"),\n",
-    "  [\"human\", \"{input}\"],\n",
-    "]);\n",
+    "import { START, END, MessagesAnnotation, StateGraph, MemorySaver } from \"@langchain/langgraph\";\n",
     "\n",
-    "const chain2 = runnableWithMessageHistoryPrompt.pipe(llm);"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "We’ll pass the latest input to the conversation here and let the `RunnableWithMessageHistory` class wrap our chain and do the work of appending that `input` variable to the chat history.\n",
     "\n",
-    "Next, let’s declare our wrapped chain:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import { RunnableWithMessageHistory } from \"@langchain/core/runnables\";\n",
+    "// Define the function that calls the model\n",
+    "const callModel = async (state: typeof MessagesAnnotation.State) => {\n",
+    "  const systemPrompt = \n",
+    "    \"You are a helpful assistant. \" +\n",
+    "    \"Answer all questions to the best of your ability.\";\n",
+    "  const messages = [{ role: \"system\", content: systemPrompt }, ...state.messages];\n",
+    "  const response = await llm.invoke(messages);\n",
+    "  return { messages: response };\n",
+    "};\n",
     "\n",
-    "const demoEphemeralChatMessageHistoryForChain = new ChatMessageHistory();\n",
+    "const workflow = new StateGraph(MessagesAnnotation)\n",
+    "// Define the node and edge\n",
+    "  .addNode(\"model\", callModel)\n",
+    "  .addEdge(START, \"model\")\n",
+    "  .addEdge(\"model\", END);\n",
     "\n",
-    "const chainWithMessageHistory = new RunnableWithMessageHistory({\n",
-    "  runnable: chain2,\n",
-    "  getMessageHistory: (_sessionId) => demoEphemeralChatMessageHistoryForChain,\n",
-    "  inputMessagesKey: \"input\",\n",
-    "  historyMessagesKey: \"chat_history\",\n",
-    "});"
+    "// Add simple in-memory checkpointer\n",
+    "// highlight-start\n",
+    "const memory = new MemorySaver();\n",
+    "const app = workflow.compile({ checkpointer: memory });\n",
+    "// highlight-end"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "This class takes a few parameters in addition to the chain that we want to wrap:\n",
-    "\n",
-    "- A factory function that returns a message history for a given session id. This allows your chain to handle multiple users at once by loading different messages for different conversations.\n",
-    "- An `inputMessagesKey` that specifies which part of the input should be tracked and stored in the chat history. In this example, we want to track the string passed in as input.\n",
-    "- A `historyMessagesKey` that specifies what the previous messages should be injected into the prompt as. Our prompt has a `MessagesPlaceholder` named `chat_history`, so we specify this property to match.\n",
-    "  (For chains with multiple outputs) an `outputMessagesKey` which specifies which output to store as history. This is the inverse of `inputMessagesKey`.\n",
-    "\n",
-    "We can invoke this new chain as normal, with an additional `configurable` field that specifies the particular `sessionId` to pass to the factory function. This is unused for the demo, but in real-world chains, you’ll want to return a chat history corresponding to the passed session:"
+    " We'll pass the latest input to the conversation here and let the LangGraph keep track of the conversation history using the checkpointer:"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 25,
    "metadata": {},
    "outputs": [
     {
-     "data": {
-      "text/plain": [
-       "AIMessage {\n",
-       "  lc_serializable: \u001b[33mtrue\u001b[39m,\n",
-       "  lc_kwargs: {\n",
-       "    content: \u001b[32m`The translation of \"I love programming\" in French is \"J'adore la programmation.\"`\u001b[39m,\n",
-       "    tool_calls: [],\n",
-       "    invalid_tool_calls: [],\n",
-       "    additional_kwargs: { function_call: \u001b[90mundefined\u001b[39m, tool_calls: \u001b[90mundefined\u001b[39m },\n",
-       "    response_metadata: {}\n",
-       "  },\n",
-       "  lc_namespace: [ \u001b[32m\"langchain_core\"\u001b[39m, \u001b[32m\"messages\"\u001b[39m ],\n",
-       "  content: \u001b[32m`The translation of \"I love programming\" in French is \"J'adore la programmation.\"`\u001b[39m,\n",
-       "  name: \u001b[90mundefined\u001b[39m,\n",
-       "  additional_kwargs: { function_call: \u001b[90mundefined\u001b[39m, tool_calls: \u001b[90mundefined\u001b[39m },\n",
-       "  response_metadata: {\n",
-       "    tokenUsage: { completionTokens: \u001b[33m20\u001b[39m, promptTokens: \u001b[33m39\u001b[39m, totalTokens: \u001b[33m59\u001b[39m },\n",
-       "    finish_reason: \u001b[32m\"stop\"\u001b[39m\n",
-       "  },\n",
-       "  tool_calls: [],\n",
-       "  invalid_tool_calls: []\n",
-       "}"
-      ]
-     },
-     "execution_count": 8,
-     "metadata": {},
-     "output_type": "execute_result"
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{\n",
+      "  messages: [\n",
+      "    HumanMessage {\n",
+      "      \"id\": \"227b82a9-4084-46a5-ac79-ab9a3faa140e\",\n",
+      "      \"content\": \"Translate to French: I love programming.\",\n",
+      "      \"additional_kwargs\": {},\n",
+      "      \"response_metadata\": {}\n",
+      "    },\n",
+      "    AIMessage {\n",
+      "      \"id\": \"chatcmpl-ABSxVrvztgnasTeMSFbpZQmyYqjJZ\",\n",
+      "      \"content\": \"J'adore la programmation.\",\n",
+      "      \"additional_kwargs\": {},\n",
+      "      \"response_metadata\": {\n",
+      "        \"tokenUsage\": {\n",
+      "          \"completionTokens\": 5,\n",
+      "          \"promptTokens\": 35,\n",
+      "          \"totalTokens\": 40\n",
+      "        },\n",
+      "        \"finish_reason\": \"stop\",\n",
+      "        \"system_fingerprint\": \"fp_52a7f40b0b\"\n",
+      "      },\n",
+      "      \"tool_calls\": [],\n",
+      "      \"invalid_tool_calls\": [],\n",
+      "      \"usage_metadata\": {\n",
+      "        \"input_tokens\": 35,\n",
+      "        \"output_tokens\": 5,\n",
+      "        \"total_tokens\": 40\n",
+      "      }\n",
+      "    }\n",
+      "  ]\n",
+      "}\n"
+     ]
     }
    ],
    "source": [
-    "await chainWithMessageHistory.invoke(\n",
+    "await app.invoke(\n",
     "  {\n",
-    "    input:\n",
-    "      \"Translate this sentence from English to French: I love programming.\",\n",
+    "    messages: [\n",
+    "      {\n",
+    "        role: \"user\",\n",
+    "        content: \"Translate to French: I love programming.\"\n",
+    "      }\n",
+    "    ]\n",
     "  },\n",
-    "  { configurable: { sessionId: \"unused\" } }\n",
+    "  {\n",
+    "    configurable: { thread_id: \"1\" }\n",
+    "  }\n",
     ");"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 26,
    "metadata": {},
    "outputs": [
     {
-     "data": {
-      "text/plain": [
-       "AIMessage {\n",
-       "  lc_serializable: \u001b[33mtrue\u001b[39m,\n",
-       "  lc_kwargs: {\n",
-       "    content: \u001b[32m'You just asked for the translation of the sentence \"I love programming\" from English to French.'\u001b[39m,\n",
-       "    tool_calls: [],\n",
-       "    invalid_tool_calls: [],\n",
-       "    additional_kwargs: { function_call: \u001b[90mundefined\u001b[39m, tool_calls: \u001b[90mundefined\u001b[39m },\n",
-       "    response_metadata: {}\n",
-       "  },\n",
-       "  lc_namespace: [ \u001b[32m\"langchain_core\"\u001b[39m, \u001b[32m\"messages\"\u001b[39m ],\n",
-       "  content: \u001b[32m'You just asked for the translation of the sentence \"I love programming\" from English to French.'\u001b[39m,\n",
-       "  name: \u001b[90mundefined\u001b[39m,\n",
-       "  additional_kwargs: { function_call: \u001b[90mundefined\u001b[39m, tool_calls: \u001b[90mundefined\u001b[39m },\n",
-       "  response_metadata: {\n",
-       "    tokenUsage: { completionTokens: \u001b[33m19\u001b[39m, promptTokens: \u001b[33m74\u001b[39m, totalTokens: \u001b[33m93\u001b[39m },\n",
-       "    finish_reason: \u001b[32m\"stop\"\u001b[39m\n",
-       "  },\n",
-       "  tool_calls: [],\n",
-       "  invalid_tool_calls: []\n",
-       "}"
-      ]
-     },
-     "execution_count": 9,
-     "metadata": {},
-     "output_type": "execute_result"
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{\n",
+      "  messages: [\n",
+      "    HumanMessage {\n",
+      "      \"id\": \"1a0560a4-9dcb-47a1-b441-80717e229706\",\n",
+      "      \"content\": \"Translate to French: I love programming.\",\n",
+      "      \"additional_kwargs\": {},\n",
+      "      \"response_metadata\": {}\n",
+      "    },\n",
+      "    AIMessage {\n",
+      "      \"id\": \"chatcmpl-ABSxVrvztgnasTeMSFbpZQmyYqjJZ\",\n",
+      "      \"content\": \"J'adore la programmation.\",\n",
+      "      \"additional_kwargs\": {},\n",
+      "      \"response_metadata\": {\n",
+      "        \"tokenUsage\": {\n",
+      "          \"completionTokens\": 5,\n",
+      "          \"promptTokens\": 35,\n",
+      "          \"totalTokens\": 40\n",
+      "        },\n",
+      "        \"finish_reason\": \"stop\",\n",
+      "        \"system_fingerprint\": \"fp_52a7f40b0b\"\n",
+      "      },\n",
+      "      \"tool_calls\": [],\n",
+      "      \"invalid_tool_calls\": []\n",
+      "    },\n",
+      "    HumanMessage {\n",
+      "      \"id\": \"4f233a7d-4b08-4f53-bb60-cf0141a59721\",\n",
+      "      \"content\": \"What did I just ask you?\",\n",
+      "      \"additional_kwargs\": {},\n",
+      "      \"response_metadata\": {}\n",
+      "    },\n",
+      "    AIMessage {\n",
+      "      \"id\": \"chatcmpl-ABSxVs5QnlPfbihTOmJrCVg1Dh7Ol\",\n",
+      "      \"content\": \"You asked me to translate \\\"I love programming\\\" into French.\",\n",
+      "      \"additional_kwargs\": {},\n",
+      "      \"response_metadata\": {\n",
+      "        \"tokenUsage\": {\n",
+      "          \"completionTokens\": 13,\n",
+      "          \"promptTokens\": 55,\n",
+      "          \"totalTokens\": 68\n",
+      "        },\n",
+      "        \"finish_reason\": \"stop\",\n",
+      "        \"system_fingerprint\": \"fp_9f2bfdaa89\"\n",
+      "      },\n",
+      "      \"tool_calls\": [],\n",
+      "      \"invalid_tool_calls\": [],\n",
+      "      \"usage_metadata\": {\n",
+      "        \"input_tokens\": 55,\n",
+      "        \"output_tokens\": 13,\n",
+      "        \"total_tokens\": 68\n",
+      "      }\n",
+      "    }\n",
+      "  ]\n",
+      "}\n"
+     ]
     }
    ],
    "source": [
-    "await chainWithMessageHistory.invoke(\n",
+    "await app.invoke(\n",
     "  {\n",
-    "    input: \"What did I just ask you?\",\n",
+    "    messages: [\n",
+    "      {\n",
+    "        role: \"user\",\n",
+    "        content: \"What did I just ask you?\"\n",
+    "      }\n",
+    "    ]\n",
     "  },\n",
-    "  { configurable: { sessionId: \"unused\" } }\n",
+    "  {\n",
+    "    configurable: { thread_id: \"1\" }\n",
+    "  }\n",
     ");"
    ]
   },
@@ -429,159 +340,98 @@
     "\n",
     "### Trimming messages\n",
     "\n",
-    "LLMs and chat models have limited context windows, and even if you’re not directly hitting limits, you may want to limit the amount of distraction the model has to deal with. One solution is to only load and store the most recent `n` messages. Let’s use an example history with some preloaded messages:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "[\n",
-       "  HumanMessage {\n",
-       "    lc_serializable: \u001b[33mtrue\u001b[39m,\n",
-       "    lc_kwargs: {\n",
-       "      content: \u001b[32m\"Hey there! I'm Nemo.\"\u001b[39m,\n",
-       "      additional_kwargs: {},\n",
-       "      response_metadata: {}\n",
-       "    },\n",
-       "    lc_namespace: [ \u001b[32m\"langchain_core\"\u001b[39m, \u001b[32m\"messages\"\u001b[39m ],\n",
-       "    content: \u001b[32m\"Hey there! I'm Nemo.\"\u001b[39m,\n",
-       "    name: \u001b[90mundefined\u001b[39m,\n",
-       "    additional_kwargs: {},\n",
-       "    response_metadata: {}\n",
-       "  },\n",
-       "  AIMessage {\n",
-       "    lc_serializable: \u001b[33mtrue\u001b[39m,\n",
-       "    lc_kwargs: {\n",
-       "      content: \u001b[32m\"Hello!\"\u001b[39m,\n",
-       "      tool_calls: [],\n",
-       "      invalid_tool_calls: [],\n",
-       "      additional_kwargs: {},\n",
-       "      response_metadata: {}\n",
-       "    },\n",
-       "    lc_namespace: [ \u001b[32m\"langchain_core\"\u001b[39m, \u001b[32m\"messages\"\u001b[39m ],\n",
-       "    content: \u001b[32m\"Hello!\"\u001b[39m,\n",
-       "    name: \u001b[90mundefined\u001b[39m,\n",
-       "    additional_kwargs: {},\n",
-       "    response_metadata: {},\n",
-       "    tool_calls: [],\n",
-       "    invalid_tool_calls: []\n",
-       "  },\n",
-       "  HumanMessage {\n",
-       "    lc_serializable: \u001b[33mtrue\u001b[39m,\n",
-       "    lc_kwargs: {\n",
-       "      content: \u001b[32m\"How are you today?\"\u001b[39m,\n",
-       "      additional_kwargs: {},\n",
-       "      response_metadata: {}\n",
-       "    },\n",
-       "    lc_namespace: [ \u001b[32m\"langchain_core\"\u001b[39m, \u001b[32m\"messages\"\u001b[39m ],\n",
-       "    content: \u001b[32m\"How are you today?\"\u001b[39m,\n",
-       "    name: \u001b[90mundefined\u001b[39m,\n",
-       "    additional_kwargs: {},\n",
-       "    response_metadata: {}\n",
-       "  },\n",
-       "  AIMessage {\n",
-       "    lc_serializable: \u001b[33mtrue\u001b[39m,\n",
-       "    lc_kwargs: {\n",
-       "      content: \u001b[32m\"Fine thanks!\"\u001b[39m,\n",
-       "      tool_calls: [],\n",
-       "      invalid_tool_calls: [],\n",
-       "      additional_kwargs: {},\n",
-       "      response_metadata: {}\n",
-       "    },\n",
-       "    lc_namespace: [ \u001b[32m\"langchain_core\"\u001b[39m, \u001b[32m\"messages\"\u001b[39m ],\n",
-       "    content: \u001b[32m\"Fine thanks!\"\u001b[39m,\n",
-       "    name: \u001b[90mundefined\u001b[39m,\n",
-       "    additional_kwargs: {},\n",
-       "    response_metadata: {},\n",
-       "    tool_calls: [],\n",
-       "    invalid_tool_calls: []\n",
-       "  }\n",
-       "]"
-      ]
-     },
-     "execution_count": 10,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "await demoEphemeralChatMessageHistory.clear();\n",
-    "\n",
-    "await demoEphemeralChatMessageHistory.addMessage(\n",
-    "  new HumanMessage(\"Hey there! I'm Nemo.\")\n",
-    ");\n",
-    "\n",
-    "await demoEphemeralChatMessageHistory.addMessage(new AIMessage(\"Hello!\"));\n",
-    "\n",
-    "await demoEphemeralChatMessageHistory.addMessage(\n",
-    "  new HumanMessage(\"How are you today?\")\n",
-    ");\n",
-    "\n",
-    "await demoEphemeralChatMessageHistory.addMessage(new AIMessage(\"Fine thanks!\"));\n",
-    "\n",
-    "await demoEphemeralChatMessageHistory.getMessages();"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Let’s use this message history with the `RunnableWithMessageHistory` chain we declared above:"
+    "LLMs and chat models have limited context windows, and even if you're not directly hitting limits, you may want to limit the amount of distraction the model has to deal with. One solution is trim the history messages before passing them to the model. Let's use an example history with the `app` we declared above:"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 27,
    "metadata": {},
    "outputs": [
     {
-     "data": {
-      "text/plain": [
-       "AIMessage {\n",
-       "  lc_serializable: \u001b[33mtrue\u001b[39m,\n",
-       "  lc_kwargs: {\n",
-       "    content: \u001b[32m\"Your name is Nemo!\"\u001b[39m,\n",
-       "    tool_calls: [],\n",
-       "    invalid_tool_calls: [],\n",
-       "    additional_kwargs: { function_call: \u001b[90mundefined\u001b[39m, tool_calls: \u001b[90mundefined\u001b[39m },\n",
-       "    response_metadata: {}\n",
-       "  },\n",
-       "  lc_namespace: [ \u001b[32m\"langchain_core\"\u001b[39m, \u001b[32m\"messages\"\u001b[39m ],\n",
-       "  content: \u001b[32m\"Your name is Nemo!\"\u001b[39m,\n",
-       "  name: \u001b[90mundefined\u001b[39m,\n",
-       "  additional_kwargs: { function_call: \u001b[90mundefined\u001b[39m, tool_calls: \u001b[90mundefined\u001b[39m },\n",
-       "  response_metadata: {\n",
-       "    tokenUsage: { completionTokens: \u001b[33m6\u001b[39m, promptTokens: \u001b[33m66\u001b[39m, totalTokens: \u001b[33m72\u001b[39m },\n",
-       "    finish_reason: \u001b[32m\"stop\"\u001b[39m\n",
-       "  },\n",
-       "  tool_calls: [],\n",
-       "  invalid_tool_calls: []\n",
-       "}"
-      ]
-     },
-     "execution_count": 11,
-     "metadata": {},
-     "output_type": "execute_result"
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{\n",
+      "  messages: [\n",
+      "    HumanMessage {\n",
+      "      \"id\": \"63057c3d-f980-4640-97d6-497a9f83ddee\",\n",
+      "      \"content\": \"Hey there! I'm Nemo.\",\n",
+      "      \"additional_kwargs\": {},\n",
+      "      \"response_metadata\": {}\n",
+      "    },\n",
+      "    AIMessage {\n",
+      "      \"id\": \"c9f0c20a-8f55-4909-b281-88f2a45c4f05\",\n",
+      "      \"content\": \"Hello!\",\n",
+      "      \"additional_kwargs\": {},\n",
+      "      \"response_metadata\": {},\n",
+      "      \"tool_calls\": [],\n",
+      "      \"invalid_tool_calls\": []\n",
+      "    },\n",
+      "    HumanMessage {\n",
+      "      \"id\": \"fd7fb3a0-7bc7-4e84-99a9-731b30637b55\",\n",
+      "      \"content\": \"How are you today?\",\n",
+      "      \"additional_kwargs\": {},\n",
+      "      \"response_metadata\": {}\n",
+      "    },\n",
+      "    AIMessage {\n",
+      "      \"id\": \"09b0debb-1d4a-4856-8821-b037f5d96ecf\",\n",
+      "      \"content\": \"Fine thanks!\",\n",
+      "      \"additional_kwargs\": {},\n",
+      "      \"response_metadata\": {},\n",
+      "      \"tool_calls\": [],\n",
+      "      \"invalid_tool_calls\": []\n",
+      "    },\n",
+      "    HumanMessage {\n",
+      "      \"id\": \"edc13b69-25a0-40ac-81b3-175e65dc1a9a\",\n",
+      "      \"content\": \"What's my name?\",\n",
+      "      \"additional_kwargs\": {},\n",
+      "      \"response_metadata\": {}\n",
+      "    },\n",
+      "    AIMessage {\n",
+      "      \"id\": \"chatcmpl-ABSxWKCTdRuh2ZifXsvFHSo5z5I0J\",\n",
+      "      \"content\": \"Your name is Nemo! How can I assist you today, Nemo?\",\n",
+      "      \"additional_kwargs\": {},\n",
+      "      \"response_metadata\": {\n",
+      "        \"tokenUsage\": {\n",
+      "          \"completionTokens\": 14,\n",
+      "          \"promptTokens\": 63,\n",
+      "          \"totalTokens\": 77\n",
+      "        },\n",
+      "        \"finish_reason\": \"stop\",\n",
+      "        \"system_fingerprint\": \"fp_a5d11b2ef2\"\n",
+      "      },\n",
+      "      \"tool_calls\": [],\n",
+      "      \"invalid_tool_calls\": [],\n",
+      "      \"usage_metadata\": {\n",
+      "        \"input_tokens\": 63,\n",
+      "        \"output_tokens\": 14,\n",
+      "        \"total_tokens\": 77\n",
+      "      }\n",
+      "    }\n",
+      "  ]\n",
+      "}\n"
+     ]
     }
    ],
    "source": [
-    "const chainWithMessageHistory2 = new RunnableWithMessageHistory({\n",
-    "  runnable: chain2,\n",
-    "  getMessageHistory: (_sessionId) => demoEphemeralChatMessageHistory,\n",
-    "  inputMessagesKey: \"input\",\n",
-    "  historyMessagesKey: \"chat_history\",\n",
-    "});\n",
+    "const demoEphemeralChatHistory = [\n",
+    "  { role: \"user\", content: \"Hey there! I'm Nemo.\" },\n",
+    "  { role: \"assistant\", content: \"Hello!\" },\n",
+    "  { role: \"user\", content: \"How are you today?\" },\n",
+    "  { role: \"assistant\", content: \"Fine thanks!\" },\n",
+    "];\n",
     "\n",
-    "await chainWithMessageHistory2.invoke(\n",
+    "await app.invoke(\n",
     "  {\n",
-    "    input: \"What's my name?\",\n",
+    "    messages: [\n",
+    "      ...demoEphemeralChatHistory,\n",
+    "      { role: \"user\", content: \"What's my name?\" }\n",
+    "    ]\n",
     "  },\n",
-    "  { configurable: { sessionId: \"unused\" } }\n",
+    "  {\n",
+    "    configurable: { thread_id: \"2\" }\n",
+    "  }\n",
     ");"
    ]
   },
@@ -589,551 +439,324 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "We can see the chain remembers the preloaded name.\n",
+    "We can see the app remembers the preloaded name.\n",
     "\n",
-    "But let’s say we have a very small context window, and we want to trim the number of messages passed to the chain to only the 2 most recent ones. We can use the `clear` method to remove messages and re-add them to the history. We don’t have to, but let’s put this method at the front of our chain to ensure it’s always called:"
+    "But let's say we have a very small context window, and we want to trim the number of messages passed to the model to only the 2 most recent ones. We can use the built in [trimMessages](/docs/how_to/trim_messages/) util to trim messages based on their token count before they reach our prompt. In this case we'll count each message as 1 \"token\" and keep only the last two messages:"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 28,
    "metadata": {},
    "outputs": [],
    "source": [
-    "import {\n",
-    "  RunnablePassthrough,\n",
-    "  RunnableSequence,\n",
-    "} from \"@langchain/core/runnables\";\n",
-    "\n",
-    "const trimMessages = async (_chainInput: Record<string, any>) => {\n",
-    "  const storedMessages = await demoEphemeralChatMessageHistory.getMessages();\n",
-    "  if (storedMessages.length <= 2) {\n",
-    "    return false;\n",
-    "  }\n",
-    "  await demoEphemeralChatMessageHistory.clear();\n",
-    "  for (const message of storedMessages.slice(-2)) {\n",
-    "    demoEphemeralChatMessageHistory.addMessage(message);\n",
-    "  }\n",
-    "  return true;\n",
+    "import { START, END, MessagesAnnotation, StateGraph, MemorySaver } from \"@langchain/langgraph\";\n",
+    "import { trimMessages } from \"@langchain/core/messages\";\n",
+    "\n",
+    "// Define trimmer\n",
+    "// highlight-start\n",
+    "// count each message as 1 \"token\" (tokenCounter: (msgs) => msgs.length) and keep only the last two messages\n",
+    "const trimmer = trimMessages({ strategy: \"last\", maxTokens: 2, tokenCounter: (msgs) => msgs.length });\n",
+    "// highlight-end\n",
+    "\n",
+    "// Define the function that calls the model\n",
+    "const callModel2 = async (state: typeof MessagesAnnotation.State) => {\n",
+    "  // highlight-start\n",
+    "  const trimmedMessages = await trimmer.invoke(state.messages);\n",
+    "  const systemPrompt = \n",
+    "    \"You are a helpful assistant. \" +\n",
+    "    \"Answer all questions to the best of your ability.\";\n",
+    "  const messages = [{ role: \"system\", content: systemPrompt }, ...trimmedMessages];\n",
+    "  // highlight-end\n",
+    "  const response = await llm.invoke(messages);\n",
+    "  return { messages: response };\n",
     "};\n",
     "\n",
-    "const chainWithTrimming = RunnableSequence.from([\n",
-    "  RunnablePassthrough.assign({ messages_trimmed: trimMessages }),\n",
-    "  chainWithMessageHistory2,\n",
-    "]);"
+    "const workflow2 = new StateGraph(MessagesAnnotation)\n",
+    "  // Define the node and edge\n",
+    "  .addNode(\"model\", callModel2)\n",
+    "  .addEdge(START, \"model\")\n",
+    "  .addEdge(\"model\", END);\n",
+    "\n",
+    "// Add simple in-memory checkpointer\n",
+    "const app2 = workflow2.compile({ checkpointer: new MemorySaver() });"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Let’s call this new chain and check the messages afterwards:"
+    "Let's call this new app and check the response"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 29,
    "metadata": {},
    "outputs": [
     {
-     "data": {
-      "text/plain": [
-       "AIMessage {\n",
-       "  lc_serializable: \u001b[33mtrue\u001b[39m,\n",
-       "  lc_kwargs: {\n",
-       "    content: \u001b[32m'P. Sherman is a fictional character who lives at 42 Wallaby Way, Sydney, from the movie \"Finding Nem'\u001b[39m... 3 more characters,\n",
-       "    tool_calls: [],\n",
-       "    invalid_tool_calls: [],\n",
-       "    additional_kwargs: { function_call: \u001b[90mundefined\u001b[39m, tool_calls: \u001b[90mundefined\u001b[39m },\n",
-       "    response_metadata: {}\n",
-       "  },\n",
-       "  lc_namespace: [ \u001b[32m\"langchain_core\"\u001b[39m, \u001b[32m\"messages\"\u001b[39m ],\n",
-       "  content: \u001b[32m'P. Sherman is a fictional character who lives at 42 Wallaby Way, Sydney, from the movie \"Finding Nem'\u001b[39m... 3 more characters,\n",
-       "  name: \u001b[90mundefined\u001b[39m,\n",
-       "  additional_kwargs: { function_call: \u001b[90mundefined\u001b[39m, tool_calls: \u001b[90mundefined\u001b[39m },\n",
-       "  response_metadata: {\n",
-       "    tokenUsage: { completionTokens: \u001b[33m26\u001b[39m, promptTokens: \u001b[33m53\u001b[39m, totalTokens: \u001b[33m79\u001b[39m },\n",
-       "    finish_reason: \u001b[32m\"stop\"\u001b[39m\n",
-       "  },\n",
-       "  tool_calls: [],\n",
-       "  invalid_tool_calls: []\n",
-       "}"
-      ]
-     },
-     "execution_count": 13,
-     "metadata": {},
-     "output_type": "execute_result"
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{\n",
+      "  messages: [\n",
+      "    HumanMessage {\n",
+      "      \"id\": \"0d9330a0-d9d1-4aaf-8171-ca1ac6344f7c\",\n",
+      "      \"content\": \"What is my name?\",\n",
+      "      \"additional_kwargs\": {},\n",
+      "      \"response_metadata\": {}\n",
+      "    },\n",
+      "    AIMessage {\n",
+      "      \"id\": \"3a24e88b-7525-4797-9fcd-d751a378d22c\",\n",
+      "      \"content\": \"Fine thanks!\",\n",
+      "      \"additional_kwargs\": {},\n",
+      "      \"response_metadata\": {},\n",
+      "      \"tool_calls\": [],\n",
+      "      \"invalid_tool_calls\": []\n",
+      "    },\n",
+      "    HumanMessage {\n",
+      "      \"id\": \"276039c8-eba8-4c68-b015-81ec7704140d\",\n",
+      "      \"content\": \"How are you today?\",\n",
+      "      \"additional_kwargs\": {},\n",
+      "      \"response_metadata\": {}\n",
+      "    },\n",
+      "    AIMessage {\n",
+      "      \"id\": \"2ad4f461-20e1-4982-ba3b-235cb6b02abd\",\n",
+      "      \"content\": \"Hello!\",\n",
+      "      \"additional_kwargs\": {},\n",
+      "      \"response_metadata\": {},\n",
+      "      \"tool_calls\": [],\n",
+      "      \"invalid_tool_calls\": []\n",
+      "    },\n",
+      "    HumanMessage {\n",
+      "      \"id\": \"52213cae-953a-463d-a4a0-a7368c9ee4db\",\n",
+      "      \"content\": \"Hey there! I'm Nemo.\",\n",
+      "      \"additional_kwargs\": {},\n",
+      "      \"response_metadata\": {}\n",
+      "    },\n",
+      "    AIMessage {\n",
+      "      \"id\": \"chatcmpl-ABSxWe9BRDl1pmzkNIDawWwU3hvKm\",\n",
+      "      \"content\": \"I'm sorry, but I don't have access to personal information about you unless you've shared it with me during our conversation. How can I assist you today?\",\n",
+      "      \"additional_kwargs\": {},\n",
+      "      \"response_metadata\": {\n",
+      "        \"tokenUsage\": {\n",
+      "          \"completionTokens\": 30,\n",
+      "          \"promptTokens\": 39,\n",
+      "          \"totalTokens\": 69\n",
+      "        },\n",
+      "        \"finish_reason\": \"stop\",\n",
+      "        \"system_fingerprint\": \"fp_3537616b13\"\n",
+      "      },\n",
+      "      \"tool_calls\": [],\n",
+      "      \"invalid_tool_calls\": [],\n",
+      "      \"usage_metadata\": {\n",
+      "        \"input_tokens\": 39,\n",
+      "        \"output_tokens\": 30,\n",
+      "        \"total_tokens\": 69\n",
+      "      }\n",
+      "    }\n",
+      "  ]\n",
+      "}\n"
+     ]
     }
    ],
    "source": [
-    "await chainWithTrimming.invoke(\n",
+    "await app2.invoke(\n",
     "  {\n",
-    "    input: \"Where does P. Sherman live?\",\n",
+    "    messages: [\n",
+    "      ...demoEphemeralChatHistory,\n",
+    "      { role: \"user\", content: \"What is my name?\" }\n",
+    "    ]\n",
     "  },\n",
-    "  { configurable: { sessionId: \"unused\" } }\n",
-    ");"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 14,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "[\n",
-       "  HumanMessage {\n",
-       "    lc_serializable: \u001b[33mtrue\u001b[39m,\n",
-       "    lc_kwargs: {\n",
-       "      content: \u001b[32m\"What's my name?\"\u001b[39m,\n",
-       "      additional_kwargs: {},\n",
-       "      response_metadata: {}\n",
-       "    },\n",
-       "    lc_namespace: [ \u001b[32m\"langchain_core\"\u001b[39m, \u001b[32m\"messages\"\u001b[39m ],\n",
-       "    content: \u001b[32m\"What's my name?\"\u001b[39m,\n",
-       "    name: \u001b[90mundefined\u001b[39m,\n",
-       "    additional_kwargs: {},\n",
-       "    response_metadata: {}\n",
-       "  },\n",
-       "  AIMessage {\n",
-       "    lc_serializable: \u001b[33mtrue\u001b[39m,\n",
-       "    lc_kwargs: {\n",
-       "      content: \u001b[32m\"Your name is Nemo!\"\u001b[39m,\n",
-       "      tool_calls: [],\n",
-       "      invalid_tool_calls: [],\n",
-       "      additional_kwargs: { function_call: \u001b[90mundefined\u001b[39m, tool_calls: \u001b[90mundefined\u001b[39m },\n",
-       "      response_metadata: {}\n",
-       "    },\n",
-       "    lc_namespace: [ \u001b[32m\"langchain_core\"\u001b[39m, \u001b[32m\"messages\"\u001b[39m ],\n",
-       "    content: \u001b[32m\"Your name is Nemo!\"\u001b[39m,\n",
-       "    name: \u001b[90mundefined\u001b[39m,\n",
-       "    additional_kwargs: { function_call: \u001b[90mundefined\u001b[39m, tool_calls: \u001b[90mundefined\u001b[39m },\n",
-       "    response_metadata: {\n",
-       "      tokenUsage: { completionTokens: \u001b[33m6\u001b[39m, promptTokens: \u001b[33m66\u001b[39m, totalTokens: \u001b[33m72\u001b[39m },\n",
-       "      finish_reason: \u001b[32m\"stop\"\u001b[39m\n",
-       "    },\n",
-       "    tool_calls: [],\n",
-       "    invalid_tool_calls: []\n",
-       "  },\n",
-       "  HumanMessage {\n",
-       "    lc_serializable: \u001b[33mtrue\u001b[39m,\n",
-       "    lc_kwargs: {\n",
-       "      content: \u001b[32m\"Where does P. Sherman live?\"\u001b[39m,\n",
-       "      additional_kwargs: {},\n",
-       "      response_metadata: {}\n",
-       "    },\n",
-       "    lc_namespace: [ \u001b[32m\"langchain_core\"\u001b[39m, \u001b[32m\"messages\"\u001b[39m ],\n",
-       "    content: \u001b[32m\"Where does P. Sherman live?\"\u001b[39m,\n",
-       "    name: \u001b[90mundefined\u001b[39m,\n",
-       "    additional_kwargs: {},\n",
-       "    response_metadata: {}\n",
-       "  },\n",
-       "  AIMessage {\n",
-       "    lc_serializable: \u001b[33mtrue\u001b[39m,\n",
-       "    lc_kwargs: {\n",
-       "      content: \u001b[32m'P. Sherman is a fictional character who lives at 42 Wallaby Way, Sydney, from the movie \"Finding Nem'\u001b[39m... 3 more characters,\n",
-       "      tool_calls: [],\n",
-       "      invalid_tool_calls: [],\n",
-       "      additional_kwargs: { function_call: \u001b[90mundefined\u001b[39m, tool_calls: \u001b[90mundefined\u001b[39m },\n",
-       "      response_metadata: {}\n",
-       "    },\n",
-       "    lc_namespace: [ \u001b[32m\"langchain_core\"\u001b[39m, \u001b[32m\"messages\"\u001b[39m ],\n",
-       "    content: \u001b[32m'P. Sherman is a fictional character who lives at 42 Wallaby Way, Sydney, from the movie \"Finding Nem'\u001b[39m... 3 more characters,\n",
-       "    name: \u001b[90mundefined\u001b[39m,\n",
-       "    additional_kwargs: { function_call: \u001b[90mundefined\u001b[39m, tool_calls: \u001b[90mundefined\u001b[39m },\n",
-       "    response_metadata: {\n",
-       "      tokenUsage: { completionTokens: \u001b[33m26\u001b[39m, promptTokens: \u001b[33m53\u001b[39m, totalTokens: \u001b[33m79\u001b[39m },\n",
-       "      finish_reason: \u001b[32m\"stop\"\u001b[39m\n",
-       "    },\n",
-       "    tool_calls: [],\n",
-       "    invalid_tool_calls: []\n",
-       "  }\n",
-       "]"
-      ]
-     },
-     "execution_count": 14,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "await demoEphemeralChatMessageHistory.getMessages();"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "And we can see that our history has removed the two oldest messages while still adding the most recent conversation at the end. The next time the chain is called, `trimMessages` will be called again, and only the two most recent messages will be passed to the model. In this case, this means that the model will forget the name we gave it the next time we invoke it:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 15,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "AIMessage {\n",
-       "  lc_serializable: \u001b[33mtrue\u001b[39m,\n",
-       "  lc_kwargs: {\n",
-       "    content: \u001b[32m\"I'm sorry, I don't have access to your personal information. Can I help you with anything else?\"\u001b[39m,\n",
-       "    tool_calls: [],\n",
-       "    invalid_tool_calls: [],\n",
-       "    additional_kwargs: { function_call: \u001b[90mundefined\u001b[39m, tool_calls: \u001b[90mundefined\u001b[39m },\n",
-       "    response_metadata: {}\n",
-       "  },\n",
-       "  lc_namespace: [ \u001b[32m\"langchain_core\"\u001b[39m, \u001b[32m\"messages\"\u001b[39m ],\n",
-       "  content: \u001b[32m\"I'm sorry, I don't have access to your personal information. Can I help you with anything else?\"\u001b[39m,\n",
-       "  name: \u001b[90mundefined\u001b[39m,\n",
-       "  additional_kwargs: { function_call: \u001b[90mundefined\u001b[39m, tool_calls: \u001b[90mundefined\u001b[39m },\n",
-       "  response_metadata: {\n",
-       "    tokenUsage: { completionTokens: \u001b[33m22\u001b[39m, promptTokens: \u001b[33m73\u001b[39m, totalTokens: \u001b[33m95\u001b[39m },\n",
-       "    finish_reason: \u001b[32m\"stop\"\u001b[39m\n",
-       "  },\n",
-       "  tool_calls: [],\n",
-       "  invalid_tool_calls: []\n",
-       "}"
-      ]
-     },
-     "execution_count": 15,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "await chainWithTrimming.invoke(\n",
     "  {\n",
-    "    input: \"What is my name?\",\n",
-    "  },\n",
-    "  { configurable: { sessionId: \"unused\" } }\n",
+    "    configurable: { thread_id: \"3\" }\n",
+    "  }\n",
     ");"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": 16,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "[\n",
-       "  HumanMessage {\n",
-       "    lc_serializable: \u001b[33mtrue\u001b[39m,\n",
-       "    lc_kwargs: {\n",
-       "      content: \u001b[32m\"Where does P. Sherman live?\"\u001b[39m,\n",
-       "      additional_kwargs: {},\n",
-       "      response_metadata: {}\n",
-       "    },\n",
-       "    lc_namespace: [ \u001b[32m\"langchain_core\"\u001b[39m, \u001b[32m\"messages\"\u001b[39m ],\n",
-       "    content: \u001b[32m\"Where does P. Sherman live?\"\u001b[39m,\n",
-       "    name: \u001b[90mundefined\u001b[39m,\n",
-       "    additional_kwargs: {},\n",
-       "    response_metadata: {}\n",
-       "  },\n",
-       "  AIMessage {\n",
-       "    lc_serializable: \u001b[33mtrue\u001b[39m,\n",
-       "    lc_kwargs: {\n",
-       "      content: \u001b[32m'P. Sherman is a fictional character who lives at 42 Wallaby Way, Sydney, from the movie \"Finding Nem'\u001b[39m... 3 more characters,\n",
-       "      tool_calls: [],\n",
-       "      invalid_tool_calls: [],\n",
-       "      additional_kwargs: { function_call: \u001b[90mundefined\u001b[39m, tool_calls: \u001b[90mundefined\u001b[39m },\n",
-       "      response_metadata: {}\n",
-       "    },\n",
-       "    lc_namespace: [ \u001b[32m\"langchain_core\"\u001b[39m, \u001b[32m\"messages\"\u001b[39m ],\n",
-       "    content: \u001b[32m'P. Sherman is a fictional character who lives at 42 Wallaby Way, Sydney, from the movie \"Finding Nem'\u001b[39m... 3 more characters,\n",
-       "    name: \u001b[90mundefined\u001b[39m,\n",
-       "    additional_kwargs: { function_call: \u001b[90mundefined\u001b[39m, tool_calls: \u001b[90mundefined\u001b[39m },\n",
-       "    response_metadata: {\n",
-       "      tokenUsage: { completionTokens: \u001b[33m26\u001b[39m, promptTokens: \u001b[33m53\u001b[39m, totalTokens: \u001b[33m79\u001b[39m },\n",
-       "      finish_reason: \u001b[32m\"stop\"\u001b[39m\n",
-       "    },\n",
-       "    tool_calls: [],\n",
-       "    invalid_tool_calls: []\n",
-       "  },\n",
-       "  HumanMessage {\n",
-       "    lc_serializable: \u001b[33mtrue\u001b[39m,\n",
-       "    lc_kwargs: {\n",
-       "      content: \u001b[32m\"What is my name?\"\u001b[39m,\n",
-       "      additional_kwargs: {},\n",
-       "      response_metadata: {}\n",
-       "    },\n",
-       "    lc_namespace: [ \u001b[32m\"langchain_core\"\u001b[39m, \u001b[32m\"messages\"\u001b[39m ],\n",
-       "    content: \u001b[32m\"What is my name?\"\u001b[39m,\n",
-       "    name: \u001b[90mundefined\u001b[39m,\n",
-       "    additional_kwargs: {},\n",
-       "    response_metadata: {}\n",
-       "  },\n",
-       "  AIMessage {\n",
-       "    lc_serializable: \u001b[33mtrue\u001b[39m,\n",
-       "    lc_kwargs: {\n",
-       "      content: \u001b[32m\"I'm sorry, I don't have access to your personal information. Can I help you with anything else?\"\u001b[39m,\n",
-       "      tool_calls: [],\n",
-       "      invalid_tool_calls: [],\n",
-       "      additional_kwargs: { function_call: \u001b[90mundefined\u001b[39m, tool_calls: \u001b[90mundefined\u001b[39m },\n",
-       "      response_metadata: {}\n",
-       "    },\n",
-       "    lc_namespace: [ \u001b[32m\"langchain_core\"\u001b[39m, \u001b[32m\"messages\"\u001b[39m ],\n",
-       "    content: \u001b[32m\"I'm sorry, I don't have access to your personal information. Can I help you with anything else?\"\u001b[39m,\n",
-       "    name: \u001b[90mundefined\u001b[39m,\n",
-       "    additional_kwargs: { function_call: \u001b[90mundefined\u001b[39m, tool_calls: \u001b[90mundefined\u001b[39m },\n",
-       "    response_metadata: {\n",
-       "      tokenUsage: { completionTokens: \u001b[33m22\u001b[39m, promptTokens: \u001b[33m73\u001b[39m, totalTokens: \u001b[33m95\u001b[39m },\n",
-       "      finish_reason: \u001b[32m\"stop\"\u001b[39m\n",
-       "    },\n",
-       "    tool_calls: [],\n",
-       "    invalid_tool_calls: []\n",
-       "  }\n",
-       "]"
-      ]
-     },
-     "execution_count": 16,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "await demoEphemeralChatMessageHistory.getMessages();"
-   ]
-  },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "### Summary memory\n",
+    "We can see that `trimMessages` was called and only the two most recent messages will be passed to the model. In this case, this means that the model forgot the name we gave it.\n",
     "\n",
-    "We can use this same pattern in other ways too. For example, we could use an additional LLM call to generate a summary of the conversation before calling our chain. Let’s recreate our chat history and chatbot chain:"
+    "Check out our [how to guide on trimming messages](/docs/how_to/trim_messages/) for more."
    ]
   },
   {
-   "cell_type": "code",
-   "execution_count": 17,
+   "cell_type": "markdown",
    "metadata": {},
-   "outputs": [],
    "source": [
-    "await demoEphemeralChatMessageHistory.clear();\n",
-    "\n",
-    "await demoEphemeralChatMessageHistory.addMessage(\n",
-    "  new HumanMessage(\"Hey there! I'm Nemo.\")\n",
-    ");\n",
-    "\n",
-    "await demoEphemeralChatMessageHistory.addMessage(new AIMessage(\"Hello!\"));\n",
-    "\n",
-    "await demoEphemeralChatMessageHistory.addMessage(\n",
-    "  new HumanMessage(\"How are you today?\")\n",
-    ");\n",
+    "### Summary memory\n",
     "\n",
-    "await demoEphemeralChatMessageHistory.addMessage(new AIMessage(\"Fine thanks!\"));"
+    "We can use this same pattern in other ways too. For example, we could use an additional LLM call to generate a summary of the conversation before calling our app. Let's recreate our chat history:"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 30,
    "metadata": {},
    "outputs": [],
    "source": [
-    "const runnableWithSummaryMemoryPrompt = ChatPromptTemplate.fromMessages([\n",
-    "  [\n",
-    "    \"system\",\n",
-    "    \"You are a helpful assistant. Answer all questions to the best of your ability. The provided chat history includes facts about the user you are speaking with.\",\n",
-    "  ],\n",
-    "  new MessagesPlaceholder(\"chat_history\"),\n",
-    "  [\"human\", \"{input}\"],\n",
-    "]);\n",
-    "\n",
-    "const summaryMemoryChain = runnableWithSummaryMemoryPrompt.pipe(llm);\n",
-    "\n",
-    "const chainWithMessageHistory3 = new RunnableWithMessageHistory({\n",
-    "  runnable: summaryMemoryChain,\n",
-    "  getMessageHistory: (_sessionId) => demoEphemeralChatMessageHistory,\n",
-    "  inputMessagesKey: \"input\",\n",
-    "  historyMessagesKey: \"chat_history\",\n",
-    "});"
+    "const demoEphemeralChatHistory2 = [\n",
+    "  { role: \"user\", content: \"Hey there! I'm Nemo.\" },\n",
+    "  { role: \"assistant\", content: \"Hello!\" },\n",
+    "  { role: \"user\", content: \"How are you today?\" },\n",
+    "  { role: \"assistant\", content: \"Fine thanks!\" },\n",
+    "];"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "And now, let’s create a function that will distill previous interactions into a summary. We can add this one to the front of the chain too:"
+    "And now, let's update the model-calling function to distill previous interactions into a summary:"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 31,
    "metadata": {},
    "outputs": [],
    "source": [
-    "const summarizeMessages = async (_chainInput: Record<string, any>) => {\n",
-    "  const storedMessages = await demoEphemeralChatMessageHistory.getMessages();\n",
-    "  if (storedMessages.length === 0) {\n",
-    "    return false;\n",
+    "import { START, END, MessagesAnnotation, StateGraph, MemorySaver } from \"@langchain/langgraph\";\n",
+    "import { RemoveMessage } from \"@langchain/core/messages\";\n",
+    "\n",
+    "\n",
+    "// Define the function that calls the model\n",
+    "const callModel3 = async (state: typeof MessagesAnnotation.State) => {\n",
+    "  const systemPrompt = \n",
+    "    \"You are a helpful assistant. \" +\n",
+    "    \"Answer all questions to the best of your ability. \" +\n",
+    "    \"The provided chat history includes a summary of the earlier conversation.\";\n",
+    "  const systemMessage = { role: \"system\", content: systemPrompt };\n",
+    "  const messageHistory = state.messages.slice(0, -1); // exclude the most recent user input\n",
+    "  \n",
+    "  // Summarize the messages if the chat history reaches a certain size\n",
+    "  if (messageHistory.length >= 4) {\n",
+    "    const lastHumanMessage = state.messages[state.messages.length - 1];\n",
+    "    // Invoke the model to generate conversation summary\n",
+    "    const summaryPrompt = \n",
+    "      \"Distill the above chat messages into a single summary message. \" +\n",
+    "      \"Include as many specific details as you can.\";\n",
+    "    const summaryMessage = await llm.invoke([\n",
+    "      ...messageHistory,\n",
+    "      { role: \"user\", content: summaryPrompt }\n",
+    "    ]);\n",
+    "\n",
+    "    // Delete messages that we no longer want to show up\n",
+    "    const deleteMessages = state.messages.map(m => new RemoveMessage({ id: m.id }));\n",
+    "    // Re-add user message\n",
+    "    const humanMessage = { role: \"user\", content: lastHumanMessage.content };\n",
+    "    // Call the model with summary & response\n",
+    "    const response = await llm.invoke([systemMessage, summaryMessage, humanMessage]);\n",
+    "    return { messages: [summaryMessage, humanMessage, response, ...deleteMessages] };\n",
+    "  } else {\n",
+    "    const response = await llm.invoke([systemMessage, ...state.messages]);\n",
+    "    return { messages: response };\n",
     "  }\n",
-    "  const summarizationPrompt = ChatPromptTemplate.fromMessages([\n",
-    "    new MessagesPlaceholder(\"chat_history\"),\n",
-    "    [\n",
-    "      \"user\",\n",
-    "      \"Distill the above chat messages into a single summary message. Include as many specific details as you can.\",\n",
-    "    ],\n",
-    "  ]);\n",
-    "  const summarizationChain = summarizationPrompt.pipe(llm);\n",
-    "  const summaryMessage = await summarizationChain.invoke({\n",
-    "    chat_history: storedMessages,\n",
-    "  });\n",
-    "  await demoEphemeralChatMessageHistory.clear();\n",
-    "  demoEphemeralChatMessageHistory.addMessage(summaryMessage);\n",
-    "  return true;\n",
     "};\n",
     "\n",
-    "const chainWithSummarization = RunnableSequence.from([\n",
-    "  RunnablePassthrough.assign({\n",
-    "    messages_summarized: summarizeMessages,\n",
-    "  }),\n",
-    "  chainWithMessageHistory3,\n",
-    "]);"
+    "const workflow3 = new StateGraph(MessagesAnnotation)\n",
+    "  // Define the node and edge\n",
+    "  .addNode(\"model\", callModel3)\n",
+    "  .addEdge(START, \"model\")\n",
+    "  .addEdge(\"model\", END);\n",
+    "\n",
+    "// Add simple in-memory checkpointer\n",
+    "const app3 = workflow3.compile({ checkpointer: new MemorySaver() });"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Let’s see if it remembers the name we gave it:"
+    "Let's see if it remembers the name we gave it:"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 32,
    "metadata": {},
    "outputs": [
     {
-     "data": {
-      "text/plain": [
-       "AIMessage {\n",
-       "  lc_serializable: \u001b[33mtrue\u001b[39m,\n",
-       "  lc_kwargs: {\n",
-       "    content: \u001b[32m'You introduced yourself as \"Nemo.\"'\u001b[39m,\n",
-       "    tool_calls: [],\n",
-       "    invalid_tool_calls: [],\n",
-       "    additional_kwargs: { function_call: \u001b[90mundefined\u001b[39m, tool_calls: \u001b[90mundefined\u001b[39m },\n",
-       "    response_metadata: {}\n",
-       "  },\n",
-       "  lc_namespace: [ \u001b[32m\"langchain_core\"\u001b[39m, \u001b[32m\"messages\"\u001b[39m ],\n",
-       "  content: \u001b[32m'You introduced yourself as \"Nemo.\"'\u001b[39m,\n",
-       "  name: \u001b[90mundefined\u001b[39m,\n",
-       "  additional_kwargs: { function_call: \u001b[90mundefined\u001b[39m, tool_calls: \u001b[90mundefined\u001b[39m },\n",
-       "  response_metadata: {\n",
-       "    tokenUsage: { completionTokens: \u001b[33m8\u001b[39m, promptTokens: \u001b[33m87\u001b[39m, totalTokens: \u001b[33m95\u001b[39m },\n",
-       "    finish_reason: \u001b[32m\"stop\"\u001b[39m\n",
-       "  },\n",
-       "  tool_calls: [],\n",
-       "  invalid_tool_calls: []\n",
-       "}"
-      ]
-     },
-     "execution_count": 23,
-     "metadata": {},
-     "output_type": "execute_result"
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{\n",
+      "  messages: [\n",
+      "    AIMessage {\n",
+      "      \"id\": \"chatcmpl-ABSxXjFDj6WRo7VLSneBtlAxUumPE\",\n",
+      "      \"content\": \"Nemo greeted the assistant and asked how it was doing, to which the assistant responded that it was fine.\",\n",
+      "      \"additional_kwargs\": {},\n",
+      "      \"response_metadata\": {\n",
+      "        \"tokenUsage\": {\n",
+      "          \"completionTokens\": 22,\n",
+      "          \"promptTokens\": 60,\n",
+      "          \"totalTokens\": 82\n",
+      "        },\n",
+      "        \"finish_reason\": \"stop\",\n",
+      "        \"system_fingerprint\": \"fp_e375328146\"\n",
+      "      },\n",
+      "      \"tool_calls\": [],\n",
+      "      \"invalid_tool_calls\": [],\n",
+      "      \"usage_metadata\": {\n",
+      "        \"input_tokens\": 60,\n",
+      "        \"output_tokens\": 22,\n",
+      "        \"total_tokens\": 82\n",
+      "      }\n",
+      "    },\n",
+      "    HumanMessage {\n",
+      "      \"id\": \"8b1309b7-c09e-47fb-9ab3-34047f6973e3\",\n",
+      "      \"content\": \"What did I say my name was?\",\n",
+      "      \"additional_kwargs\": {},\n",
+      "      \"response_metadata\": {}\n",
+      "    },\n",
+      "    AIMessage {\n",
+      "      \"id\": \"chatcmpl-ABSxYAQKiBsQ6oVypO4CLFDsi1HRH\",\n",
+      "      \"content\": \"You mentioned that your name is Nemo.\",\n",
+      "      \"additional_kwargs\": {},\n",
+      "      \"response_metadata\": {\n",
+      "        \"tokenUsage\": {\n",
+      "          \"completionTokens\": 8,\n",
+      "          \"promptTokens\": 73,\n",
+      "          \"totalTokens\": 81\n",
+      "        },\n",
+      "        \"finish_reason\": \"stop\",\n",
+      "        \"system_fingerprint\": \"fp_52a7f40b0b\"\n",
+      "      },\n",
+      "      \"tool_calls\": [],\n",
+      "      \"invalid_tool_calls\": [],\n",
+      "      \"usage_metadata\": {\n",
+      "        \"input_tokens\": 73,\n",
+      "        \"output_tokens\": 8,\n",
+      "        \"total_tokens\": 81\n",
+      "      }\n",
+      "    }\n",
+      "  ]\n",
+      "}\n"
+     ]
     }
    ],
    "source": [
-    "await chainWithSummarization.invoke(\n",
+    "await app3.invoke(\n",
     "  {\n",
-    "    input: \"What did I say my name was?\",\n",
+    "    messages: [\n",
+    "      ...demoEphemeralChatHistory2,\n",
+    "      { role: \"user\", content: \"What did I say my name was?\" }\n",
+    "    ]\n",
     "  },\n",
     "  {\n",
-    "    configurable: { sessionId: \"unused\" },\n",
+    "    configurable: { thread_id: \"4\" }\n",
     "  }\n",
     ");"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": 24,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "[\n",
-       "  AIMessage {\n",
-       "    lc_serializable: \u001b[33mtrue\u001b[39m,\n",
-       "    lc_kwargs: {\n",
-       "      content: \u001b[32m\"The conversation consists of a greeting from someone named Nemo and a general inquiry about their we\"\u001b[39m... 86 more characters,\n",
-       "      tool_calls: [],\n",
-       "      invalid_tool_calls: [],\n",
-       "      additional_kwargs: { function_call: \u001b[90mundefined\u001b[39m, tool_calls: \u001b[90mundefined\u001b[39m },\n",
-       "      response_metadata: {}\n",
-       "    },\n",
-       "    lc_namespace: [ \u001b[32m\"langchain_core\"\u001b[39m, \u001b[32m\"messages\"\u001b[39m ],\n",
-       "    content: \u001b[32m\"The conversation consists of a greeting from someone named Nemo and a general inquiry about their we\"\u001b[39m... 86 more characters,\n",
-       "    name: \u001b[90mundefined\u001b[39m,\n",
-       "    additional_kwargs: { function_call: \u001b[90mundefined\u001b[39m, tool_calls: \u001b[90mundefined\u001b[39m },\n",
-       "    response_metadata: {\n",
-       "      tokenUsage: { completionTokens: \u001b[33m34\u001b[39m, promptTokens: \u001b[33m62\u001b[39m, totalTokens: \u001b[33m96\u001b[39m },\n",
-       "      finish_reason: \u001b[32m\"stop\"\u001b[39m\n",
-       "    },\n",
-       "    tool_calls: [],\n",
-       "    invalid_tool_calls: []\n",
-       "  },\n",
-       "  HumanMessage {\n",
-       "    lc_serializable: \u001b[33mtrue\u001b[39m,\n",
-       "    lc_kwargs: {\n",
-       "      content: \u001b[32m\"What did I say my name was?\"\u001b[39m,\n",
-       "      additional_kwargs: {},\n",
-       "      response_metadata: {}\n",
-       "    },\n",
-       "    lc_namespace: [ \u001b[32m\"langchain_core\"\u001b[39m, \u001b[32m\"messages\"\u001b[39m ],\n",
-       "    content: \u001b[32m\"What did I say my name was?\"\u001b[39m,\n",
-       "    name: \u001b[90mundefined\u001b[39m,\n",
-       "    additional_kwargs: {},\n",
-       "    response_metadata: {}\n",
-       "  },\n",
-       "  AIMessage {\n",
-       "    lc_serializable: \u001b[33mtrue\u001b[39m,\n",
-       "    lc_kwargs: {\n",
-       "      content: \u001b[32m'You introduced yourself as \"Nemo.\"'\u001b[39m,\n",
-       "      tool_calls: [],\n",
-       "      invalid_tool_calls: [],\n",
-       "      additional_kwargs: { function_call: \u001b[90mundefined\u001b[39m, tool_calls: \u001b[90mundefined\u001b[39m },\n",
-       "      response_metadata: {}\n",
-       "    },\n",
-       "    lc_namespace: [ \u001b[32m\"langchain_core\"\u001b[39m, \u001b[32m\"messages\"\u001b[39m ],\n",
-       "    content: \u001b[32m'You introduced yourself as \"Nemo.\"'\u001b[39m,\n",
-       "    name: \u001b[90mundefined\u001b[39m,\n",
-       "    additional_kwargs: { function_call: \u001b[90mundefined\u001b[39m, tool_calls: \u001b[90mundefined\u001b[39m },\n",
-       "    response_metadata: {\n",
-       "      tokenUsage: { completionTokens: \u001b[33m8\u001b[39m, promptTokens: \u001b[33m87\u001b[39m, totalTokens: \u001b[33m95\u001b[39m },\n",
-       "      finish_reason: \u001b[32m\"stop\"\u001b[39m\n",
-       "    },\n",
-       "    tool_calls: [],\n",
-       "    invalid_tool_calls: []\n",
-       "  }\n",
-       "]"
-      ]
-     },
-     "execution_count": 24,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "await demoEphemeralChatMessageHistory.getMessages();"
-   ]
-  },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Note that invoking the chain again will generate another summary generated from the initial summary plus new messages and so on. You could also design a hybrid approach where a certain number of messages are retained in chat history while others are summarized.\n",
-    "\n",
-    "## Next steps\n",
-    "\n",
-    "You've now learned how to manage memory in your chatbots\n",
-    "\n",
-    "Next, check out some of the other guides in this section, such as [how to add retrieval to your chatbot](/docs/how_to/chatbots_retrieval)."
+    "Note that invoking the app again will keep accumulating the history until it reaches the specified number of messages (four in our case). At that point we will generate another summary generated from the initial summary plus new messages and so on."
    ]
   }
  ],
@@ -1144,14 +767,17 @@
    "name": "deno"
   },
   "language_info": {
+   "codemirror_mode": {
+    "mode": "typescript",
+    "name": "javascript",
+    "typescript": true
+   },
    "file_extension": ".ts",
-   "mimetype": "text/x.typescript",
+   "mimetype": "text/typescript",
    "name": "typescript",
-   "nb_converter": "script",
-   "pygments_lexer": "typescript",
-   "version": "5.3.3"
+   "version": "3.7.2"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 2
+ "nbformat_minor": 4
 }
diff --git a/docs/core_docs/docs/how_to/chatbots_retrieval.ipynb b/docs/core_docs/docs/how_to/chatbots_retrieval.ipynb
index a3af18fed5b4..eed68bdb0bc3 100644
--- a/docs/core_docs/docs/how_to/chatbots_retrieval.ipynb
+++ b/docs/core_docs/docs/how_to/chatbots_retrieval.ipynb
@@ -45,6 +45,7 @@
    "outputs": [],
    "source": [
     "// @lc-docs-hide-cell\n",
+    "\n",
     "import { ChatOpenAI } from \"@langchain/openai\";\n",
     "\n",
     "const llm = new ChatOpenAI({\n",
diff --git a/docs/core_docs/docs/how_to/chatbots_tools.ipynb b/docs/core_docs/docs/how_to/chatbots_tools.ipynb
index b5a3b2d0cdd1..d9f8ff25e52f 100644
--- a/docs/core_docs/docs/how_to/chatbots_tools.ipynb
+++ b/docs/core_docs/docs/how_to/chatbots_tools.ipynb
@@ -4,67 +4,107 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# How to use tools\n",
+    "# How to add tools to chatbots\n",
     "\n",
     ":::info Prerequisites\n",
     "\n",
     "This guide assumes familiarity with the following concepts:\n",
     "\n",
     "- [Chatbots](/docs/concepts/#messages)\n",
-    "- [Agents](https://langchain-ai.github.io/langgraphjs/tutorials/quickstart/)\n",
+    "- [Agents](https://langchain-ai.github.io/langgraphjs/tutorials/multi_agent/agent_supervisor/)\n",
     "- [Chat history](/docs/concepts/#chat-history)\n",
     "\n",
     ":::\n",
     "\n",
     "This section will cover how to create conversational agents: chatbots that can interact with other systems and APIs using tools.\n",
     "\n",
-    "## Setup\n",
+    ":::note\n",
+    "\n",
+    "This how-to guide previously built a chatbot using [RunnableWithMessageHistory](https://api.js.langchain.com/classes/_langchain_core.runnables.RunnableWithMessageHistory.html). You can access this version of the tutorial in the [v0.2 docs](https://js.langchain.com/v0.2/docs/how_to/chatbots_tools/).\n",
+    "\n",
+    "The LangGraph implementation offers a number of advantages over `RunnableWithMessageHistory`, including the ability to persist arbitrary components of an application's state (instead of only messages).\n",
+    "\n",
+    ":::\n",
     "\n",
-    "For this guide, we’ll be using an [tool calling agent](/docs/how_to/agent_executor) with a single tool for searching the web. The default will be powered by [Tavily](/docs/integrations/tools/tavily_search), but you can switch it out for any similar tool. The rest of this section will assume you’re using Tavily.\n",
+    "## Setup\n",
     "\n",
-    "You’ll need to [sign up for an account on the Tavily website](https://tavily.com), and install the following packages:\n",
+    "For this guide, we'll be using a [tool calling agent](https://langchain-ai.github.io/langgraphjs/concepts/agentic_concepts/#tool-calling-agent) with a single tool for searching the web. The default will be powered by [Tavily](/docs/integrations/tools/tavily_search), but you can switch it out for any similar tool. The rest of this section will assume you're using Tavily.\n",
     "\n",
+    "You'll need to [sign up for an account](https://tavily.com/) on the Tavily website, and install the following packages:\n",
     "\n",
     "```{=mdx}\n",
     "import Npm2Yarn from \"@theme/Npm2Yarn\";\n",
     "\n",
     "<Npm2Yarn>\n",
-    "  @langchain/openai langchain @langchain/core\n",
+    "  @langchain/core @langchain/langgraph @langchain/community\n",
     "</Npm2Yarn>\n",
+    "```\n",
+    "\n",
+    "Let’s also set up a chat model that we’ll use for the below examples.\n",
+    "\n",
+    "```{=mdx}\n",
+    "import ChatModelTabs from \"@theme/ChatModelTabs\";\n",
+    "\n",
+    "<ChatModelTabs customVarName=\"llm\" />\n",
+    "```\n",
+    "\n",
+    "```typescript\n",
+    "process.env.TAVILY_API_KEY = \"YOUR_API_KEY\";\n",
     "```"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Creating an agent\n",
+    "\n",
+    "Our end goal is to create an agent that can respond conversationally to user questions while looking up information as needed.\n",
+    "\n",
+    "First, let's initialize Tavily and an OpenAI chat model capable of tool calling:"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
-    "import { TavilySearchResults } from \"@langchain/community/tools/tavily_search\";\n",
+    "// @lc-docs-hide-cell\n",
+    "\n",
     "import { ChatOpenAI } from \"@langchain/openai\";\n",
     "\n",
+    "const llm = new ChatOpenAI({\n",
+    "  model: \"gpt-4o\",\n",
+    "  temperature: 0,\n",
+    "});"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import { TavilySearchResults } from \"@langchain/community/tools/tavily_search\";\n",
+    "\n",
     "const tools = [\n",
     "  new TavilySearchResults({\n",
     "    maxResults: 1,\n",
     "  }),\n",
-    "];\n",
-    "\n",
-    "const llm = new ChatOpenAI({\n",
-    "  model: \"gpt-3.5-turbo-1106\",\n",
-    "  temperature: 0,\n",
-    "});"
+    "];"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "To make our agent conversational, we must also choose a prompt with a placeholder for our chat history. Here’s an example:\n"
+    "To make our agent conversational, we can also specify a prompt. Here's an example:"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -78,8 +118,6 @@
     "    \"system\",\n",
     "    \"You are a helpful assistant. You may not need to use tools for every query - the user may just want to chat!\",\n",
     "  ],\n",
-    "  [\"placeholder\", \"{messages}\"],\n",
-    "  [\"placeholder\", \"{agent_scratchpad}\"],\n",
     "]);"
    ]
   },
@@ -87,30 +125,21 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Great! Now let’s assemble our agent:\n",
-    "\n",
-    "```{=mdx}\n",
-    ":::tip\n",
-    "As of `langchain` version `0.2.8`, the `createOpenAIToolsAgent` function now supports [OpenAI-formatted tools](https://api.js.langchain.com/interfaces/langchain_core.language_models_base.ToolDefinition.html).\n",
-    ":::\n",
-    "```\n"
+    "Great! Now let's assemble our agent using LangGraph's prebuilt [createReactAgent](https://langchain-ai.github.io/langgraphjs/reference/functions/langgraph_prebuilt.createReactAgent.html), which allows you to create a [tool-calling agent](https://langchain-ai.github.io/langgraphjs/concepts/agentic_concepts/#tool-calling-agent):"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [],
    "source": [
-    "import { AgentExecutor, createToolCallingAgent } from \"langchain/agents\";\n",
-    "\n",
-    "const agent = await createToolCallingAgent({\n",
-    "  llm,\n",
-    "  tools,\n",
-    "  prompt,\n",
-    "});\n",
+    "import { createReactAgent } from \"@langchain/langgraph/prebuilt\"\n",
     "\n",
-    "const agentExecutor = new AgentExecutor({ agent, tools });"
+    "// messageModifier allows you to preprocess the inputs to the model inside ReAct agent\n",
+    "// in this case, since we're passing a prompt string, we'll just always add a SystemMessage\n",
+    "// with this prompt string before any other messages sent to the model\n",
+    "const agent = createReactAgent({ llm, tools, messageModifier: prompt })"
    ]
   },
   {
@@ -119,98 +148,108 @@
    "source": [
     "## Running the agent\n",
     "\n",
-    "Now that we’ve set up our agent, let’s try interacting with it! It can handle both trivial queries that require no lookup:\n"
+    "Now that we've set up our agent, let's try interacting with it! It can handle both trivial queries that require no lookup:"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
-     "data": {
-      "text/plain": [
-       "{\n",
-       "  messages: [\n",
-       "    HumanMessage {\n",
-       "      lc_serializable: \u001b[33mtrue\u001b[39m,\n",
-       "      lc_kwargs: {\n",
-       "        content: \u001b[32m\"I'm Nemo!\"\u001b[39m,\n",
-       "        additional_kwargs: {},\n",
-       "        response_metadata: {}\n",
-       "      },\n",
-       "      lc_namespace: [ \u001b[32m\"langchain_core\"\u001b[39m, \u001b[32m\"messages\"\u001b[39m ],\n",
-       "      content: \u001b[32m\"I'm Nemo!\"\u001b[39m,\n",
-       "      name: \u001b[90mundefined\u001b[39m,\n",
-       "      additional_kwargs: {},\n",
-       "      response_metadata: {}\n",
-       "    }\n",
-       "  ],\n",
-       "  output: \u001b[32m\"Hi Nemo! It's great to meet you. How can I assist you today?\"\u001b[39m\n",
-       "}"
-      ]
-     },
-     "execution_count": 4,
-     "metadata": {},
-     "output_type": "execute_result"
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{\n",
+      "  messages: [\n",
+      "    HumanMessage {\n",
+      "      \"id\": \"8c5fa465-e8d8-472a-9434-f574bf74537f\",\n",
+      "      \"content\": \"I'm Nemo!\",\n",
+      "      \"additional_kwargs\": {},\n",
+      "      \"response_metadata\": {}\n",
+      "    },\n",
+      "    AIMessage {\n",
+      "      \"id\": \"chatcmpl-ABTKLLriRcZin65zLAMB3WUf9Sg1t\",\n",
+      "      \"content\": \"How can I assist you today?\",\n",
+      "      \"additional_kwargs\": {},\n",
+      "      \"response_metadata\": {\n",
+      "        \"tokenUsage\": {\n",
+      "          \"completionTokens\": 8,\n",
+      "          \"promptTokens\": 93,\n",
+      "          \"totalTokens\": 101\n",
+      "        },\n",
+      "        \"finish_reason\": \"stop\",\n",
+      "        \"system_fingerprint\": \"fp_3537616b13\"\n",
+      "      },\n",
+      "      \"tool_calls\": [],\n",
+      "      \"invalid_tool_calls\": [],\n",
+      "      \"usage_metadata\": {\n",
+      "        \"input_tokens\": 93,\n",
+      "        \"output_tokens\": 8,\n",
+      "        \"total_tokens\": 101\n",
+      "      }\n",
+      "    }\n",
+      "  ]\n",
+      "}\n"
+     ]
     }
    ],
    "source": [
-    "import { HumanMessage } from \"@langchain/core/messages\";\n",
-    "\n",
-    "await agentExecutor.invoke({\n",
-    "  messages: [new HumanMessage(\"I'm Nemo!\")],\n",
-    "});"
+    "await agent.invoke({ messages: [{ role: \"user\", content: \"I'm Nemo!\" }]})"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Or, it can use of the passed search tool to get up to date information if needed:\n"
+    "Or, it can use of the passed search tool to get up to date information if needed:"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
     {
-     "data": {
-      "text/plain": [
-       "{\n",
-       "  messages: [\n",
-       "    HumanMessage {\n",
-       "      lc_serializable: \u001b[33mtrue\u001b[39m,\n",
-       "      lc_kwargs: {\n",
-       "        content: \u001b[32m\"What is the current conservation status of the Great Barrier Reef?\"\u001b[39m,\n",
-       "        additional_kwargs: {},\n",
-       "        response_metadata: {}\n",
-       "      },\n",
-       "      lc_namespace: [ \u001b[32m\"langchain_core\"\u001b[39m, \u001b[32m\"messages\"\u001b[39m ],\n",
-       "      content: \u001b[32m\"What is the current conservation status of the Great Barrier Reef?\"\u001b[39m,\n",
-       "      name: \u001b[90mundefined\u001b[39m,\n",
-       "      additional_kwargs: {},\n",
-       "      response_metadata: {}\n",
-       "    }\n",
-       "  ],\n",
-       "  output: \u001b[32m\"The Great Barrier Reef has recorded its highest amount of coral cover since the Australian Institute\"\u001b[39m... 688 more characters\n",
-       "}"
-      ]
-     },
-     "execution_count": 5,
-     "metadata": {},
-     "output_type": "execute_result"
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{\n",
+      "  messages: [\n",
+      "    HumanMessage {\n",
+      "      \"id\": \"65c315b6-2433-4cb1-97c7-b60b5546f518\",\n",
+      "      \"content\": \"What is the current conservation status of the Great Barrier Reef?\",\n",
+      "      \"additional_kwargs\": {},\n",
+      "      \"response_metadata\": {}\n",
+      "    },\n",
+      "    AIMessage {\n",
+      "      \"id\": \"chatcmpl-ABTKLQn1e4axRhqIhpKMyzWWTGauO\",\n",
+      "      \"content\": \"How can I assist you today?\",\n",
+      "      \"additional_kwargs\": {},\n",
+      "      \"response_metadata\": {\n",
+      "        \"tokenUsage\": {\n",
+      "          \"completionTokens\": 8,\n",
+      "          \"promptTokens\": 93,\n",
+      "          \"totalTokens\": 101\n",
+      "        },\n",
+      "        \"finish_reason\": \"stop\",\n",
+      "        \"system_fingerprint\": \"fp_3537616b13\"\n",
+      "      },\n",
+      "      \"tool_calls\": [],\n",
+      "      \"invalid_tool_calls\": [],\n",
+      "      \"usage_metadata\": {\n",
+      "        \"input_tokens\": 93,\n",
+      "        \"output_tokens\": 8,\n",
+      "        \"total_tokens\": 101\n",
+      "      }\n",
+      "    }\n",
+      "  ]\n",
+      "}\n"
+     ]
     }
    ],
    "source": [
-    "await agentExecutor.invoke({\n",
-    "  messages: [\n",
-    "    new HumanMessage(\n",
-    "      \"What is the current conservation status of the Great Barrier Reef?\"\n",
-    "    ),\n",
-    "  ],\n",
-    "});"
+    "await agent.invoke({ messages: [{ role: \"user\", content: \"What is the current conservation status of the Great Barrier Reef?\" }]})"
    ]
   },
   {
@@ -219,246 +258,233 @@
    "source": [
     "## Conversational responses\n",
     "\n",
-    "Because our prompt contains a placeholder for chat history messages, our agent can also take previous interactions into account and respond conversationally like a standard chatbot:\n"
+    "Because our prompt contains a placeholder for chat history messages, our agent can also take previous interactions into account and respond conversationally like a standard chatbot:"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [
     {
-     "data": {
-      "text/plain": [
-       "{\n",
-       "  messages: [\n",
-       "    HumanMessage {\n",
-       "      lc_serializable: \u001b[33mtrue\u001b[39m,\n",
-       "      lc_kwargs: {\n",
-       "        content: \u001b[32m\"I'm Nemo!\"\u001b[39m,\n",
-       "        additional_kwargs: {},\n",
-       "        response_metadata: {}\n",
-       "      },\n",
-       "      lc_namespace: [ \u001b[32m\"langchain_core\"\u001b[39m, \u001b[32m\"messages\"\u001b[39m ],\n",
-       "      content: \u001b[32m\"I'm Nemo!\"\u001b[39m,\n",
-       "      name: \u001b[90mundefined\u001b[39m,\n",
-       "      additional_kwargs: {},\n",
-       "      response_metadata: {}\n",
-       "    },\n",
-       "    AIMessage {\n",
-       "      lc_serializable: \u001b[33mtrue\u001b[39m,\n",
-       "      lc_kwargs: {\n",
-       "        content: \u001b[32m\"Hello Nemo! How can I assist you today?\"\u001b[39m,\n",
-       "        tool_calls: [],\n",
-       "        invalid_tool_calls: [],\n",
-       "        additional_kwargs: {},\n",
-       "        response_metadata: {}\n",
-       "      },\n",
-       "      lc_namespace: [ \u001b[32m\"langchain_core\"\u001b[39m, \u001b[32m\"messages\"\u001b[39m ],\n",
-       "      content: \u001b[32m\"Hello Nemo! How can I assist you today?\"\u001b[39m,\n",
-       "      name: \u001b[90mundefined\u001b[39m,\n",
-       "      additional_kwargs: {},\n",
-       "      response_metadata: {},\n",
-       "      tool_calls: [],\n",
-       "      invalid_tool_calls: [],\n",
-       "      usage_metadata: \u001b[90mundefined\u001b[39m\n",
-       "    },\n",
-       "    HumanMessage {\n",
-       "      lc_serializable: \u001b[33mtrue\u001b[39m,\n",
-       "      lc_kwargs: {\n",
-       "        content: \u001b[32m\"What is my name?\"\u001b[39m,\n",
-       "        additional_kwargs: {},\n",
-       "        response_metadata: {}\n",
-       "      },\n",
-       "      lc_namespace: [ \u001b[32m\"langchain_core\"\u001b[39m, \u001b[32m\"messages\"\u001b[39m ],\n",
-       "      content: \u001b[32m\"What is my name?\"\u001b[39m,\n",
-       "      name: \u001b[90mundefined\u001b[39m,\n",
-       "      additional_kwargs: {},\n",
-       "      response_metadata: {}\n",
-       "    }\n",
-       "  ],\n",
-       "  output: \u001b[32m\"Your name is Nemo!\"\u001b[39m\n",
-       "}"
-      ]
-     },
-     "execution_count": 6,
-     "metadata": {},
-     "output_type": "execute_result"
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{\n",
+      "  messages: [\n",
+      "    HumanMessage {\n",
+      "      \"id\": \"6433afc5-31bd-44b3-b34c-f11647e1677d\",\n",
+      "      \"content\": \"I'm Nemo!\",\n",
+      "      \"additional_kwargs\": {},\n",
+      "      \"response_metadata\": {}\n",
+      "    },\n",
+      "    HumanMessage {\n",
+      "      \"id\": \"f163b5f1-ea29-4d7a-9965-7c7c563d9cea\",\n",
+      "      \"content\": \"Hello Nemo! How can I assist you today?\",\n",
+      "      \"additional_kwargs\": {},\n",
+      "      \"response_metadata\": {}\n",
+      "    },\n",
+      "    HumanMessage {\n",
+      "      \"id\": \"382c3354-d02b-4888-98d8-44d75d045044\",\n",
+      "      \"content\": \"What is my name?\",\n",
+      "      \"additional_kwargs\": {},\n",
+      "      \"response_metadata\": {}\n",
+      "    },\n",
+      "    AIMessage {\n",
+      "      \"id\": \"chatcmpl-ABTKMKu7ThZDZW09yMIPTq2N723Cj\",\n",
+      "      \"content\": \"How can I assist you today?\",\n",
+      "      \"additional_kwargs\": {},\n",
+      "      \"response_metadata\": {\n",
+      "        \"tokenUsage\": {\n",
+      "          \"completionTokens\": 8,\n",
+      "          \"promptTokens\": 93,\n",
+      "          \"totalTokens\": 101\n",
+      "        },\n",
+      "        \"finish_reason\": \"stop\",\n",
+      "        \"system_fingerprint\": \"fp_e375328146\"\n",
+      "      },\n",
+      "      \"tool_calls\": [],\n",
+      "      \"invalid_tool_calls\": [],\n",
+      "      \"usage_metadata\": {\n",
+      "        \"input_tokens\": 93,\n",
+      "        \"output_tokens\": 8,\n",
+      "        \"total_tokens\": 101\n",
+      "      }\n",
+      "    }\n",
+      "  ]\n",
+      "}\n"
+     ]
     }
    ],
    "source": [
-    "import { AIMessage } from \"@langchain/core/messages\";\n",
-    "\n",
-    "await agentExecutor.invoke({\n",
+    "await agent.invoke({\n",
     "  messages: [\n",
-    "    new HumanMessage(\"I'm Nemo!\"),\n",
-    "    new AIMessage(\"Hello Nemo! How can I assist you today?\"),\n",
-    "    new HumanMessage(\"What is my name?\"),\n",
-    "  ],\n",
-    "});"
+    "    { role: \"user\", content: \"I'm Nemo!\" },\n",
+    "    { role: \"user\", content: \"Hello Nemo! How can I assist you today?\" },\n",
+    "    { role: \"user\", content: \"What is my name?\" }\n",
+    "  ]\n",
+    "})"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "If preferred, you can also wrap the agent executor in a [`RunnableWithMessageHistory`](/docs/how_to/message_history/) class to internally manage history messages. Let's redeclare it this way:"
+    "If preferred, you can also add memory to the LangGraph agent to manage the history of messages. Let's redeclare it this way:"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [],
    "source": [
-    "const agent2 = await createToolCallingAgent({\n",
-    "  llm,\n",
-    "  tools,\n",
-    "  prompt,\n",
-    "});\n",
+    "import { MemorySaver } from \"@langchain/langgraph\"\n",
     "\n",
-    "const agentExecutor2 = new AgentExecutor({ agent: agent2, tools });"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Then, because our agent executor has multiple outputs, we also have to set the `outputMessagesKey` property when initializing the wrapper:\n"
+    "// highlight-start\n",
+    "const memory = new MemorySaver()\n",
+    "const agent2 = createReactAgent({ llm, tools, messageModifier: prompt, checkpointSaver: memory })\n",
+    "// highlight-end"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [
     {
-     "data": {
-      "text/plain": [
-       "{\n",
-       "  messages: [\n",
-       "    HumanMessage {\n",
-       "      lc_serializable: \u001b[33mtrue\u001b[39m,\n",
-       "      lc_kwargs: {\n",
-       "        content: \u001b[32m\"I'm Nemo!\"\u001b[39m,\n",
-       "        additional_kwargs: {},\n",
-       "        response_metadata: {}\n",
-       "      },\n",
-       "      lc_namespace: [ \u001b[32m\"langchain_core\"\u001b[39m, \u001b[32m\"messages\"\u001b[39m ],\n",
-       "      content: \u001b[32m\"I'm Nemo!\"\u001b[39m,\n",
-       "      name: \u001b[90mundefined\u001b[39m,\n",
-       "      additional_kwargs: {},\n",
-       "      response_metadata: {}\n",
-       "    }\n",
-       "  ],\n",
-       "  output: \u001b[32m\"Hi Nemo! It's great to meet you. How can I assist you today?\"\u001b[39m\n",
-       "}"
-      ]
-     },
-     "execution_count": 11,
-     "metadata": {},
-     "output_type": "execute_result"
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{\n",
+      "  messages: [\n",
+      "    HumanMessage {\n",
+      "      \"id\": \"a4a4f663-8192-4179-afcc-88d9d186aa80\",\n",
+      "      \"content\": \"I'm Nemo!\",\n",
+      "      \"additional_kwargs\": {},\n",
+      "      \"response_metadata\": {}\n",
+      "    },\n",
+      "    AIMessage {\n",
+      "      \"id\": \"chatcmpl-ABTKi4tBzOWMh3hgA46xXo7bJzb8r\",\n",
+      "      \"content\": \"How can I assist you today?\",\n",
+      "      \"additional_kwargs\": {},\n",
+      "      \"response_metadata\": {\n",
+      "        \"tokenUsage\": {\n",
+      "          \"completionTokens\": 8,\n",
+      "          \"promptTokens\": 93,\n",
+      "          \"totalTokens\": 101\n",
+      "        },\n",
+      "        \"finish_reason\": \"stop\",\n",
+      "        \"system_fingerprint\": \"fp_e375328146\"\n",
+      "      },\n",
+      "      \"tool_calls\": [],\n",
+      "      \"invalid_tool_calls\": [],\n",
+      "      \"usage_metadata\": {\n",
+      "        \"input_tokens\": 93,\n",
+      "        \"output_tokens\": 8,\n",
+      "        \"total_tokens\": 101\n",
+      "      }\n",
+      "    }\n",
+      "  ]\n",
+      "}\n"
+     ]
     }
    ],
    "source": [
-    "import { ChatMessageHistory } from \"langchain/stores/message/in_memory\";\n",
-    "import { RunnableWithMessageHistory } from \"@langchain/core/runnables\";\n",
-    "\n",
-    "const demoEphemeralChatMessageHistory = new ChatMessageHistory();\n",
-    "\n",
-    "const conversationalAgentExecutor = new RunnableWithMessageHistory({\n",
-    "  runnable: agentExecutor2,\n",
-    "  getMessageHistory: (_sessionId) => demoEphemeralChatMessageHistory,\n",
-    "  inputMessagesKey: \"messages\",\n",
-    "  outputMessagesKey: \"output\",\n",
-    "});\n",
-    "\n",
-    "await conversationalAgentExecutor.invoke(\n",
-    "  { messages: [new HumanMessage(\"I'm Nemo!\")] },\n",
-    "  { configurable: { sessionId: \"unused\" } }\n",
-    ");"
+    "await agent2.invoke({ messages: [{ role: \"user\", content: \"I'm Nemo!\" }]}, { configurable: { thread_id: \"1\" } })"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "And then if we rerun our wrapped agent executor:"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 14,
    "metadata": {},
    "outputs": [
     {
-     "data": {
-      "text/plain": [
-       "{\n",
-       "  messages: [\n",
-       "    HumanMessage {\n",
-       "      lc_serializable: \u001b[33mtrue\u001b[39m,\n",
-       "      lc_kwargs: {\n",
-       "        content: \u001b[32m\"I'm Nemo!\"\u001b[39m,\n",
-       "        additional_kwargs: {},\n",
-       "        response_metadata: {}\n",
-       "      },\n",
-       "      lc_namespace: [ \u001b[32m\"langchain_core\"\u001b[39m, \u001b[32m\"messages\"\u001b[39m ],\n",
-       "      content: \u001b[32m\"I'm Nemo!\"\u001b[39m,\n",
-       "      name: \u001b[90mundefined\u001b[39m,\n",
-       "      additional_kwargs: {},\n",
-       "      response_metadata: {}\n",
-       "    },\n",
-       "    AIMessage {\n",
-       "      lc_serializable: \u001b[33mtrue\u001b[39m,\n",
-       "      lc_kwargs: {\n",
-       "        content: \u001b[32m\"Hi Nemo! It's great to meet you. How can I assist you today?\"\u001b[39m,\n",
-       "        tool_calls: [],\n",
-       "        invalid_tool_calls: [],\n",
-       "        additional_kwargs: {},\n",
-       "        response_metadata: {}\n",
-       "      },\n",
-       "      lc_namespace: [ \u001b[32m\"langchain_core\"\u001b[39m, \u001b[32m\"messages\"\u001b[39m ],\n",
-       "      content: \u001b[32m\"Hi Nemo! It's great to meet you. How can I assist you today?\"\u001b[39m,\n",
-       "      name: \u001b[90mundefined\u001b[39m,\n",
-       "      additional_kwargs: {},\n",
-       "      response_metadata: {},\n",
-       "      tool_calls: [],\n",
-       "      invalid_tool_calls: [],\n",
-       "      usage_metadata: \u001b[90mundefined\u001b[39m\n",
-       "    },\n",
-       "    HumanMessage {\n",
-       "      lc_serializable: \u001b[33mtrue\u001b[39m,\n",
-       "      lc_kwargs: {\n",
-       "        content: \u001b[32m\"What is my name?\"\u001b[39m,\n",
-       "        additional_kwargs: {},\n",
-       "        response_metadata: {}\n",
-       "      },\n",
-       "      lc_namespace: [ \u001b[32m\"langchain_core\"\u001b[39m, \u001b[32m\"messages\"\u001b[39m ],\n",
-       "      content: \u001b[32m\"What is my name?\"\u001b[39m,\n",
-       "      name: \u001b[90mundefined\u001b[39m,\n",
-       "      additional_kwargs: {},\n",
-       "      response_metadata: {}\n",
-       "    }\n",
-       "  ],\n",
-       "  output: \u001b[32m\"Your name is Nemo!\"\u001b[39m\n",
-       "}"
-      ]
-     },
-     "execution_count": 12,
-     "metadata": {},
-     "output_type": "execute_result"
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{\n",
+      "  messages: [\n",
+      "    HumanMessage {\n",
+      "      \"id\": \"c5fd303c-eb49-41a0-868e-bc8c5aa02cf6\",\n",
+      "      \"content\": \"I'm Nemo!\",\n",
+      "      \"additional_kwargs\": {},\n",
+      "      \"response_metadata\": {}\n",
+      "    },\n",
+      "    AIMessage {\n",
+      "      \"id\": \"chatcmpl-ABTKi4tBzOWMh3hgA46xXo7bJzb8r\",\n",
+      "      \"content\": \"How can I assist you today?\",\n",
+      "      \"additional_kwargs\": {},\n",
+      "      \"response_metadata\": {\n",
+      "        \"tokenUsage\": {\n",
+      "          \"completionTokens\": 8,\n",
+      "          \"promptTokens\": 93,\n",
+      "          \"totalTokens\": 101\n",
+      "        },\n",
+      "        \"finish_reason\": \"stop\",\n",
+      "        \"system_fingerprint\": \"fp_e375328146\"\n",
+      "      },\n",
+      "      \"tool_calls\": [],\n",
+      "      \"invalid_tool_calls\": []\n",
+      "    },\n",
+      "    HumanMessage {\n",
+      "      \"id\": \"635b17b9-2ec7-412f-bf45-85d0e9944430\",\n",
+      "      \"content\": \"What is my name?\",\n",
+      "      \"additional_kwargs\": {},\n",
+      "      \"response_metadata\": {}\n",
+      "    },\n",
+      "    AIMessage {\n",
+      "      \"id\": \"chatcmpl-ABTKjBbmFlPb5t37aJ8p4NtoHb8YG\",\n",
+      "      \"content\": \"How can I assist you today?\",\n",
+      "      \"additional_kwargs\": {},\n",
+      "      \"response_metadata\": {\n",
+      "        \"tokenUsage\": {\n",
+      "          \"completionTokens\": 8,\n",
+      "          \"promptTokens\": 93,\n",
+      "          \"totalTokens\": 101\n",
+      "        },\n",
+      "        \"finish_reason\": \"stop\",\n",
+      "        \"system_fingerprint\": \"fp_e375328146\"\n",
+      "      },\n",
+      "      \"tool_calls\": [],\n",
+      "      \"invalid_tool_calls\": [],\n",
+      "      \"usage_metadata\": {\n",
+      "        \"input_tokens\": 93,\n",
+      "        \"output_tokens\": 8,\n",
+      "        \"total_tokens\": 101\n",
+      "      }\n",
+      "    }\n",
+      "  ]\n",
+      "}\n"
+     ]
     }
    ],
    "source": [
-    "await conversationalAgentExecutor.invoke(\n",
-    "  { messages: [new HumanMessage(\"What is my name?\")] },\n",
-    "  { configurable: { sessionId: \"unused\" } }\n",
-    ");"
+    "await agent2.invoke({ messages: [{ role: \"user\", content: \"What is my name?\" }]}, { configurable: { thread_id: \"1\" } })"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Next steps\n",
+    "This [LangSmith trace](https://smith.langchain.com/public/16cbcfa5-5ef1-4d4c-92c9-538a6e71f23d/r) shows what's going on under the hood.\n",
+    "\n",
+    "## Further reading\n",
+    "\n",
+    "For more on how to build agents, check these [LangGraph](https://langchain-ai.github.io/langgraphjs/) guides:\n",
     "\n",
-    "You've now learned how to create chatbots with tool-use capabilities.\n",
+    "* [agents conceptual guide](https://langchain-ai.github.io/langgraphjs/concepts/agentic_concepts/)\n",
+    "* [agents tutorials](https://langchain-ai.github.io/langgraphjs/tutorials/multi_agent/multi_agent_collaboration/)\n",
+    "* [createReactAgent](https://langchain-ai.github.io/langgraphjs/how-tos/create-react-agent/)\n",
     "\n",
-    "For more, check out the other guides in this section, including [how to add history to your chatbots](/docs/how_to/chatbots_memory)."
+    "For more on tool usage, you can also check out [this use case section](/docs/how_to#tools)."
    ]
   }
  ],
@@ -469,14 +495,17 @@
    "name": "deno"
   },
   "language_info": {
+   "codemirror_mode": {
+    "mode": "typescript",
+    "name": "javascript",
+    "typescript": true
+   },
    "file_extension": ".ts",
-   "mimetype": "text/x.typescript",
+   "mimetype": "text/typescript",
    "name": "typescript",
-   "nb_converter": "script",
-   "pygments_lexer": "typescript",
-   "version": "5.3.3"
+   "version": "3.7.2"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 2
+ "nbformat_minor": 4
 }
diff --git a/docs/core_docs/docs/how_to/message_history.ipynb b/docs/core_docs/docs/how_to/message_history.ipynb
new file mode 100644
index 000000000000..dbca922041ff
--- /dev/null
+++ b/docs/core_docs/docs/how_to/message_history.ipynb
@@ -0,0 +1,586 @@
+{
+ "cells": [
+  {
+   "cell_type": "raw",
+   "id": "8165bd4c",
+   "metadata": {
+    "vscode": {
+     "languageId": "raw"
+    }
+   },
+   "source": [
+    "---\n",
+    "keywords: [memory]\n",
+    "---"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f47033eb",
+   "metadata": {},
+   "source": [
+    "# How to add message history\n",
+    "\n",
+    ":::info Prerequisites\n",
+    "\n",
+    "This guide assumes familiarity with the following concepts:\n",
+    "\n",
+    "- [Chaining runnables](/docs/how_to/sequence/)\n",
+    "- [Prompt templates](/docs/concepts/#prompt-templates)\n",
+    "- [Chat Messages](/docs/concepts/#message-types)\n",
+    "\n",
+    ":::\n",
+    "\n",
+    "```{=mdx}\n",
+    ":::note\n",
+    "\n",
+    "This guide previously covered the [RunnableWithMessageHistory](https://api.js.langchain.com/classes/_langchain_core.runnables.RunnableWithMessageHistory.html) abstraction. You can access this version of the guide in the [v0.2 docs](https://js.langchain.com/v0.2/docs/how_to/message_history/).\n",
+    "\n",
+    "The LangGraph implementation offers a number of advantages over `RunnableWithMessageHistory`, including the ability to persist arbitrary components of an application's state (instead of only messages).\n",
+    "\n",
+    ":::\n",
+    "```\n",
+    "\n",
+    "\n",
+    "Passing conversation state into and out a chain is vital when building a chatbot. LangGraph implements a built-in persistence layer, allowing chain states to be automatically persisted in memory, or external backends such as SQLite, Postgres or Redis. Details can be found in the LangGraph persistence documentation.\n",
+    "\n",
+    "In this guide we demonstrate how to add persistence to arbitrary LangChain runnables by wrapping them in a minimal LangGraph application. This lets us persist the message history and other elements of the chain's state, simplifying the development of multi-turn applications. It also supports multiple threads, enabling a single application to interact separately with multiple users.\n",
+    "\n",
+    "## Setup\n",
+    "\n",
+    "```{=mdx}\n",
+    "import Npm2Yarn from \"@theme/Npm2Yarn\";\n",
+    "\n",
+    "<Npm2Yarn>\n",
+    "  @langchain/core @langchain/langgraph\n",
+    "</Npm2Yarn>\n",
+    "```\n",
+    "\n",
+    "Let’s also set up a chat model that we’ll use for the below examples.\n",
+    "\n",
+    "```{=mdx}\n",
+    "import ChatModelTabs from \"@theme/ChatModelTabs\";\n",
+    "\n",
+    "<ChatModelTabs customVarName=\"llm\" />\n",
+    "```\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "id": "8a4e4708",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "// @lc-docs-hide-cell\n",
+    "\n",
+    "import { ChatOpenAI } from \"@langchain/openai\";\n",
+    "\n",
+    "const llm = new ChatOpenAI({\n",
+    "  model: \"gpt-4o\",\n",
+    "  temperature: 0,\n",
+    "});"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1f6121bc-2080-4ccc-acf0-f77de4bc951d",
+   "metadata": {},
+   "source": [
+    "## Example: message inputs\n",
+    "\n",
+    "Adding memory to a [chat model](/docs/concepts/#chat-models) provides a simple example. Chat models accept a list of messages as input and output a message. LangGraph includes a built-in `MessagesState` that we can use for this purpose.\n",
+    "\n",
+    "Below, we:\n",
+    "1. Define the graph state to be a list of messages;\n",
+    "2. Add a single node to the graph that calls a chat model;\n",
+    "3. Compile the graph with an in-memory checkpointer to store messages between runs.\n",
+    "\n",
+    ":::info\n",
+    "\n",
+    "The output of a LangGraph application is its [state](https://langchain-ai.github.io/langgraphjs/concepts/low_level/).\n",
+    "\n",
+    ":::"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "id": "f691a73a-a866-4354-9fff-8315605e2b8f",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import { START, END, MessagesAnnotation, StateGraph, MemorySaver } from \"@langchain/langgraph\";\n",
+    "\n",
+    "// Define the function that calls the model\n",
+    "const callModel = async (state: typeof MessagesAnnotation.State) => {\n",
+    "  const response = await llm.invoke(state.messages);\n",
+    "  // Update message history with response:\n",
+    "  return { messages: response };\n",
+    "};\n",
+    "\n",
+    "// Define a new graph\n",
+    "const workflow = new StateGraph(MessagesAnnotation)\n",
+    "  // Define the (single) node in the graph\n",
+    "  .addNode(\"model\", callModel)\n",
+    "  .addEdge(START, \"model\")\n",
+    "  .addEdge(\"model\", END);\n",
+    "\n",
+    "// Add memory\n",
+    "const memory = new MemorySaver();\n",
+    "const app = workflow.compile({ checkpointer: memory });"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c0b396a8-f81e-4139-b4b2-75adf61d8179",
+   "metadata": {},
+   "source": [
+    "When we run the application, we pass in a configuration object that specifies a `thread_id`. This ID is used to distinguish conversational threads (e.g., between different users)."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "id": "e4309511-2140-4d91-8f5f-ea3661e6d179",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import { v4 as uuidv4 } from \"uuid\";\n",
+    "\n",
+    "const config = { configurable: { thread_id: uuidv4() } }"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "108c45a2-4971-4120-ba64-9a4305a414bb",
+   "metadata": {},
+   "source": [
+    "We can then invoke the application:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "id": "72a5ff6c-501f-4151-8dd9-f600f70554be",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "AIMessage {\n",
+      "  \"id\": \"chatcmpl-ABTqCeKnMQmG9IH8dNF5vPjsgXtcM\",\n",
+      "  \"content\": \"Hi Bob! How can I assist you today?\",\n",
+      "  \"additional_kwargs\": {},\n",
+      "  \"response_metadata\": {\n",
+      "    \"tokenUsage\": {\n",
+      "      \"completionTokens\": 10,\n",
+      "      \"promptTokens\": 12,\n",
+      "      \"totalTokens\": 22\n",
+      "    },\n",
+      "    \"finish_reason\": \"stop\",\n",
+      "    \"system_fingerprint\": \"fp_e375328146\"\n",
+      "  },\n",
+      "  \"tool_calls\": [],\n",
+      "  \"invalid_tool_calls\": [],\n",
+      "  \"usage_metadata\": {\n",
+      "    \"input_tokens\": 12,\n",
+      "    \"output_tokens\": 10,\n",
+      "    \"total_tokens\": 22\n",
+      "  }\n",
+      "}\n"
+     ]
+    }
+   ],
+   "source": [
+    "const input = [\n",
+    "  {\n",
+    "    role: \"user\",\n",
+    "    content: \"Hi! I'm Bob.\",\n",
+    "  }\n",
+    "]\n",
+    "const output = await app.invoke({ messages: input }, config)\n",
+    "// The output contains all messages in the state.\n",
+    "// This will long the last message in the conversation.\n",
+    "console.log(output.messages[output.messages.length - 1]);"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "id": "5931fb35-0fac-40e7-8ac6-b14cb4e926cd",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "AIMessage {\n",
+      "  \"id\": \"chatcmpl-ABTqD5jrJXeKCpvoIDp47fvgw2OPn\",\n",
+      "  \"content\": \"Your name is Bob. How can I help you today, Bob?\",\n",
+      "  \"additional_kwargs\": {},\n",
+      "  \"response_metadata\": {\n",
+      "    \"tokenUsage\": {\n",
+      "      \"completionTokens\": 14,\n",
+      "      \"promptTokens\": 34,\n",
+      "      \"totalTokens\": 48\n",
+      "    },\n",
+      "    \"finish_reason\": \"stop\",\n",
+      "    \"system_fingerprint\": \"fp_e375328146\"\n",
+      "  },\n",
+      "  \"tool_calls\": [],\n",
+      "  \"invalid_tool_calls\": [],\n",
+      "  \"usage_metadata\": {\n",
+      "    \"input_tokens\": 34,\n",
+      "    \"output_tokens\": 14,\n",
+      "    \"total_tokens\": 48\n",
+      "  }\n",
+      "}\n"
+     ]
+    }
+   ],
+   "source": [
+    "const input2 = [\n",
+    "  {\n",
+    "    role: \"user\",\n",
+    "    content: \"What's my name?\",\n",
+    "  }\n",
+    "]\n",
+    "const output2 = await app.invoke({ messages: input2 }, config)\n",
+    "console.log(output2.messages[output2.messages.length - 1]);"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "91de6d12-881d-4d23-a421-f2e3bf829b79",
+   "metadata": {},
+   "source": [
+    "Note that states are separated for different threads. If we issue the same query to a thread with a new `thread_id`, the model indicates that it does not know the answer:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 35,
+   "id": "6f12c26f-8913-4484-b2c5-b49eda2e6d7d",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "AIMessage {\n",
+      "  \"id\": \"chatcmpl-ABTqDkctxwmXjeGOZpK6Km8jdCqdl\",\n",
+      "  \"content\": \"I'm sorry, but I don't have access to personal information about users. How can I assist you today?\",\n",
+      "  \"additional_kwargs\": {},\n",
+      "  \"response_metadata\": {\n",
+      "    \"tokenUsage\": {\n",
+      "      \"completionTokens\": 21,\n",
+      "      \"promptTokens\": 11,\n",
+      "      \"totalTokens\": 32\n",
+      "    },\n",
+      "    \"finish_reason\": \"stop\",\n",
+      "    \"system_fingerprint\": \"fp_52a7f40b0b\"\n",
+      "  },\n",
+      "  \"tool_calls\": [],\n",
+      "  \"invalid_tool_calls\": [],\n",
+      "  \"usage_metadata\": {\n",
+      "    \"input_tokens\": 11,\n",
+      "    \"output_tokens\": 21,\n",
+      "    \"total_tokens\": 32\n",
+      "  }\n",
+      "}\n"
+     ]
+    }
+   ],
+   "source": [
+    "const config2 = { configurable: { thread_id: uuidv4() } }\n",
+    "const input3 = [\n",
+    "  {\n",
+    "    role: \"user\",\n",
+    "    content: \"What's my name?\",\n",
+    "  }\n",
+    "]\n",
+    "const output3 = await app.invoke({ messages: input3 }, config2)\n",
+    "console.log(output3.messages[output3.messages.length - 1]);"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "6749ea95-3382-4843-bb96-cfececb9e4e5",
+   "metadata": {},
+   "source": [
+    "## Example: object inputs\n",
+    "\n",
+    "LangChain runnables often accept multiple inputs via separate keys in a single object argument. A common example is a prompt template with multiple parameters.\n",
+    "\n",
+    "Whereas before our runnable was a chat model, here we chain together a prompt template and chat model."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 36,
+   "id": "6e7a402a-0994-4fc5-a607-fb990a248aa4",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import { ChatPromptTemplate, MessagesPlaceholder } from \"@langchain/core/prompts\";\n",
+    "\n",
+    "const prompt = ChatPromptTemplate.fromMessages([\n",
+    "  [\"system\", \"Answer in {language}.\"],\n",
+    "  new MessagesPlaceholder(\"messages\"),\n",
+    "])\n",
+    "\n",
+    "const runnable = prompt.pipe(llm);"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f83107bd-ae61-45e1-a57e-94ab043aad4b",
+   "metadata": {},
+   "source": [
+    "For this scenario, we define the graph state to include these parameters (in addition to the message history). We then define a single-node graph in the same way as before.\n",
+    "\n",
+    "Note that in the below state:\n",
+    "- Updates to the `messages` list will append messages;\n",
+    "- Updates to the `language` string will overwrite the string."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 37,
+   "id": "267429ea-be0f-4f80-8daf-c63d881a1436",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import { START, END, StateGraph, MemorySaver, MessagesAnnotation, Annotation } from \"@langchain/langgraph\";\n",
+    "\n",
+    "// Define the State\n",
+    "// highlight-next-line\n",
+    "const GraphAnnotation = Annotation.Root({\n",
+    "  // highlight-next-line\n",
+    "  language: Annotation<string>(),\n",
+    "  // Spread `MessagesAnnotation` into the state to add the `messages` field.\n",
+    "  // highlight-next-line\n",
+    "  ...MessagesAnnotation.spec,\n",
+    "})\n",
+    "\n",
+    "\n",
+    "// Define the function that calls the model\n",
+    "const callModel2 = async (state: typeof GraphAnnotation.State) => {\n",
+    "  const response = await runnable.invoke(state);\n",
+    "  // Update message history with response:\n",
+    "  return { messages: [response] };\n",
+    "};\n",
+    "\n",
+    "const workflow2 = new StateGraph(GraphAnnotation)\n",
+    "  .addNode(\"model\", callModel2)\n",
+    "  .addEdge(START, \"model\")\n",
+    "  .addEdge(\"model\", END);\n",
+    "\n",
+    "const app2 = workflow2.compile({ checkpointer: new MemorySaver() });"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 38,
+   "id": "f3844fb4-58d7-43c8-b427-6d9f64d7411b",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "AIMessage {\n",
+      "  \"id\": \"chatcmpl-ABTqFnCASRB5UhZ7XAbbf5T0Bva4U\",\n",
+      "  \"content\": \"Lo siento, pero no tengo suficiente información para saber tu nombre. ¿Cómo te llamas?\",\n",
+      "  \"additional_kwargs\": {},\n",
+      "  \"response_metadata\": {\n",
+      "    \"tokenUsage\": {\n",
+      "      \"completionTokens\": 19,\n",
+      "      \"promptTokens\": 19,\n",
+      "      \"totalTokens\": 38\n",
+      "    },\n",
+      "    \"finish_reason\": \"stop\",\n",
+      "    \"system_fingerprint\": \"fp_e375328146\"\n",
+      "  },\n",
+      "  \"tool_calls\": [],\n",
+      "  \"invalid_tool_calls\": [],\n",
+      "  \"usage_metadata\": {\n",
+      "    \"input_tokens\": 19,\n",
+      "    \"output_tokens\": 19,\n",
+      "    \"total_tokens\": 38\n",
+      "  }\n",
+      "}\n"
+     ]
+    }
+   ],
+   "source": [
+    "const config3 = { configurable: { thread_id: uuidv4() } }\n",
+    "const input4 = {\n",
+    "  messages: [\n",
+    "    {\n",
+    "      role: \"user\",\n",
+    "      content: \"What's my name?\",\n",
+    "    }\n",
+    "  ],\n",
+    "  language: \"Spanish\",\n",
+    "} \n",
+    "const output4 = await app2.invoke(input4, config3)\n",
+    "console.log(output4.messages[output4.messages.length - 1]);"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7df47824-ef18-4a6e-a416-345ec9203f88",
+   "metadata": {},
+   "source": [
+    "## Managing message history\n",
+    "\n",
+    "The message history (and other elements of the application state) can be accessed via `.getState`:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 39,
+   "id": "1cbd6d82-43c1-4d11-98af-5c3ad9cd9b3b",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Language: Spanish\n",
+      "[\n",
+      "  HumanMessage {\n",
+      "    \"content\": \"What's my name?\",\n",
+      "    \"additional_kwargs\": {},\n",
+      "    \"response_metadata\": {}\n",
+      "  },\n",
+      "  AIMessage {\n",
+      "    \"id\": \"chatcmpl-ABTqFnCASRB5UhZ7XAbbf5T0Bva4U\",\n",
+      "    \"content\": \"Lo siento, pero no tengo suficiente información para saber tu nombre. ¿Cómo te llamas?\",\n",
+      "    \"additional_kwargs\": {},\n",
+      "    \"response_metadata\": {\n",
+      "      \"tokenUsage\": {\n",
+      "        \"completionTokens\": 19,\n",
+      "        \"promptTokens\": 19,\n",
+      "        \"totalTokens\": 38\n",
+      "      },\n",
+      "      \"finish_reason\": \"stop\",\n",
+      "      \"system_fingerprint\": \"fp_e375328146\"\n",
+      "    },\n",
+      "    \"tool_calls\": [],\n",
+      "    \"invalid_tool_calls\": []\n",
+      "  }\n",
+      "]\n"
+     ]
+    }
+   ],
+   "source": [
+    "const state = (await app2.getState(config3)).values\n",
+    "\n",
+    "console.log(`Language: ${state.language}`);\n",
+    "console.log(state.messages)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "acfbccda-0bd6-4c4d-ae6e-8118520314e1",
+   "metadata": {},
+   "source": [
+    "We can also update the state via `.updateState`. For example, we can manually append a new message:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 40,
+   "id": "e98310d7-8ab1-461d-94a7-dd419494ab8d",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "const _ = await app2.updateState(config3, { messages: [{ role: \"user\", content: \"test\" }]})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 41,
+   "id": "74ab3691-6f3b-49c5-aad0-2a90fc2a1e6a",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Language: Spanish\n",
+      "[\n",
+      "  HumanMessage {\n",
+      "    \"content\": \"What's my name?\",\n",
+      "    \"additional_kwargs\": {},\n",
+      "    \"response_metadata\": {}\n",
+      "  },\n",
+      "  AIMessage {\n",
+      "    \"id\": \"chatcmpl-ABTqFnCASRB5UhZ7XAbbf5T0Bva4U\",\n",
+      "    \"content\": \"Lo siento, pero no tengo suficiente información para saber tu nombre. ¿Cómo te llamas?\",\n",
+      "    \"additional_kwargs\": {},\n",
+      "    \"response_metadata\": {\n",
+      "      \"tokenUsage\": {\n",
+      "        \"completionTokens\": 19,\n",
+      "        \"promptTokens\": 19,\n",
+      "        \"totalTokens\": 38\n",
+      "      },\n",
+      "      \"finish_reason\": \"stop\",\n",
+      "      \"system_fingerprint\": \"fp_e375328146\"\n",
+      "    },\n",
+      "    \"tool_calls\": [],\n",
+      "    \"invalid_tool_calls\": []\n",
+      "  },\n",
+      "  HumanMessage {\n",
+      "    \"content\": \"test\",\n",
+      "    \"additional_kwargs\": {},\n",
+      "    \"response_metadata\": {}\n",
+      "  }\n",
+      "]\n"
+     ]
+    }
+   ],
+   "source": [
+    "const state2 = (await app2.getState(config3)).values\n",
+    "\n",
+    "console.log(`Language: ${state2.language}`);\n",
+    "console.log(state2.messages)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e4a1ea00-d7ff-4f18-b9ec-9aec5909d027",
+   "metadata": {},
+   "source": [
+    "For details on managing state, including deleting messages, see the LangGraph documentation:\n",
+    "\n",
+    "- [How to delete messages](https://langchain-ai.github.io/langgraphjs/how-tos/delete-messages/)\n",
+    "- [How to view and update past graph state](https://langchain-ai.github.io/langgraphjs/how-tos/time-travel/)"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "TypeScript",
+   "language": "typescript",
+   "name": "tslab"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "mode": "typescript",
+    "name": "javascript",
+    "typescript": true
+   },
+   "file_extension": ".ts",
+   "mimetype": "text/typescript",
+   "name": "typescript",
+   "version": "3.7.2"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/docs/core_docs/docs/how_to/message_history.mdx b/docs/core_docs/docs/how_to/message_history.mdx
deleted file mode 100644
index 2712135ff482..000000000000
--- a/docs/core_docs/docs/how_to/message_history.mdx
+++ /dev/null
@@ -1,206 +0,0 @@
-# How to add message history
-
-:::info Prerequisites
-
-This guide assumes familiarity with the following concepts:
-
-- [LangChain Expression Language (LCEL)](/docs/concepts/#langchain-expression-language)
-- [Chaining runnables](/docs/how_to/sequence/)
-- [Configuring chain parameters at runtime](/docs/how_to/binding)
-- [Prompt templates](/docs/concepts/#prompt-templates)
-- [Chat Messages](/docs/concepts/#message-types)
-
-:::
-
-The `RunnableWithMessageHistory` lets us add message history to certain types of chains.
-
-Specifically, it can be used for any Runnable that takes as input one of
-
-- a sequence of [`BaseMessages`](/docs/concepts/#message-types)
-- a dict with a key that takes a sequence of `BaseMessage`
-- a dict with a key that takes the latest message(s) as a string or sequence of `BaseMessage`, and a separate key that takes historical messages
-
-And returns as output one of
-
-- a string that can be treated as the contents of an `AIMessage`
-- a sequence of `BaseMessage`
-- a dict with a key that contains a sequence of `BaseMessage`
-
-Let's take a look at some examples to see how it works.
-
-## Setup
-
-We'll use Upstash to store our chat message histories and Anthropic's claude-2 model so we'll need to install the following dependencies:
-
-```bash npm2yarn
-npm install @langchain/anthropic @langchain/community @langchain/core @upstash/redis
-```
-
-You'll need to set environment variables for `ANTHROPIC_API_KEY` and grab your Upstash REST url and secret token.
-
-### [LangSmith](https://smith.langchain.com/)
-
-LangSmith is especially useful for something like message history injection, where it can be hard to otherwise understand what the inputs are to various parts of the chain.
-
-Note that LangSmith is not needed, but it is helpful.
-If you do want to use LangSmith, after you sign up at the link above, make sure to uncoment the below and set your environment variables to start logging traces:
-
-```bash
-export LANGCHAIN_TRACING_V2="true"
-export LANGCHAIN_API_KEY="<your-api-key>"
-
-# Reduce tracing latency if you are not in a serverless environment
-# export LANGCHAIN_CALLBACKS_BACKGROUND=true
-```
-
-Let's create a simple runnable that takes a dict as input and returns a `BaseMessage`.
-
-In this case the `"question"` key in the input represents our input message, and the `"history"` key is where our historical messages will be injected.
-
-```typescript
-import {
-  ChatPromptTemplate,
-  MessagesPlaceholder,
-} from "@langchain/core/prompts";
-import { ChatAnthropic } from "@langchain/anthropic";
-import { UpstashRedisChatMessageHistory } from "@langchain/community/stores/message/upstash_redis";
-// For demos, you can also use an in-memory store:
-// import { ChatMessageHistory } from "langchain/stores/message/in_memory";
-
-const prompt = ChatPromptTemplate.fromMessages([
-  ["system", "You're an assistant who's good at {ability}"],
-  new MessagesPlaceholder("history"),
-  ["human", "{question}"],
-]);
-
-const chain = prompt.pipe(
-  new ChatAnthropic({ model: "claude-3-sonnet-20240229" })
-);
-```
-
-### Adding message history
-
-To add message history to our original chain we wrap it in the `RunnableWithMessageHistory` class.
-
-Crucially, we also need to define a `getMessageHistory()` method that takes a `sessionId` string and based on it returns a `BaseChatMessageHistory`. Given the same input, this method should return an equivalent output.
-
-In this case, we'll also want to specify `inputMessagesKey` (the key to be treated as the latest input message) and `historyMessagesKey` (the key to add historical messages to).
-
-```typescript
-import { RunnableWithMessageHistory } from "@langchain/core/runnables";
-
-const chainWithHistory = new RunnableWithMessageHistory({
-  runnable: chain,
-  getMessageHistory: (sessionId) =>
-    new UpstashRedisChatMessageHistory({
-      sessionId,
-      config: {
-        url: process.env.UPSTASH_REDIS_REST_URL!,
-        token: process.env.UPSTASH_REDIS_REST_TOKEN!,
-      },
-    }),
-  inputMessagesKey: "question",
-  historyMessagesKey: "history",
-});
-```
-
-## Invoking with config
-
-Whenever we call our chain with message history, we need to include an additional config object that contains the `session_id`
-
-```typescript
-{
-  configurable: {
-    sessionId: "<SESSION_ID>";
-  }
-}
-```
-
-Given the same configuration, our chain should be pulling from the same chat message history.
-
-```typescript
-const result = await chainWithHistory.invoke(
-  {
-    ability: "math",
-    question: "What does cosine mean?",
-  },
-  {
-    configurable: {
-      sessionId: "foobarbaz",
-    },
-  }
-);
-
-console.log(result);
-
-/*
-  AIMessage {
-    content: 'Cosine refers to one of the basic trigonometric functions. Specifically:\n' +
-      '\n' +
-      '- Cosine is one of the three main trigonometric functions, along with sine and tangent. It is often abbreviated as cos.\n' +
-      '\n' +
-      '- For a right triangle with sides a, b, and c (where c is the hypotenuse), cosine represents the ratio of the length of the adjacent side (a) to the length of the hypotenuse (c). So cos(A) = a/c, where A is the angle opposite side a.\n' +
-      '\n' +
-      '- On the Cartesian plane, cosine represents the x-coordinate of a point on the unit circle for a given angle. So if you take an angle θ on the unit circle, the cosine of θ gives you the x-coordinate of where the terminal side of that angle intersects the circle.\n' +
-      '\n' +
-      '- The cosine function has a periodic waveform that oscillates between 1 and -1. Its graph forms a cosine wave.\n' +
-      '\n' +
-      'So in essence, cosine helps relate an angle in a right triangle to the ratio of two of its sides. Along with sine and tangent, it is foundational to trigonometry and mathematical modeling of periodic functions.',
-    name: undefined,
-    additional_kwargs: {
-      id: 'msg_01QnnAkKEz7WvhJrwLWGbLBm',
-      type: 'message',
-      role: 'assistant',
-      model: 'claude-3-sonnet-20240229',
-      stop_reason: 'end_turn',
-      stop_sequence: null
-    }
-  }
-*/
-
-const result2 = await chainWithHistory.invoke(
-  {
-    ability: "math",
-    question: "What's its inverse?",
-  },
-  {
-    configurable: {
-      sessionId: "foobarbaz",
-    },
-  }
-);
-
-console.log(result2);
-
-/*
-  AIMessage {
-    content: 'The inverse of the cosine function is the arcsine or inverse sine function, often written as sin−1(x) or sin^{-1}(x).\n' +
-      '\n' +
-      'Some key properties of the inverse cosine function:\n' +
-      '\n' +
-      '- It accepts values between -1 and 1 as inputs and returns angles from 0 to π radians (0 to 180 degrees). This is the inverse of the regular cosine function, which takes angles and returns the cosine ratio.\n' +
-      '\n' +
-      '- It is also called cos−1(x) or cos^{-1}(x) (read as "cosine inverse of x").\n' +
-      '\n' +
-      '- The notation sin−1(x) is usually preferred over cos−1(x) since it relates more directly to the unit circle definition of cosine. sin−1(x) gives the angle whose sine equals x.\n' +
-      '\n' +
-      '- The arcsine function is one-to-one on the domain [-1, 1]. This means every output angle maps back to exactly one input ratio x. This one-to-one mapping is what makes it the mathematical inverse of cosine.\n' +
-      '\n' +
-      'So in summary, arcsine or inverse sine, written as sin−1(x) or sin^{-1}(x), gives you the angle whose cosine evaluates to the input x, undoing the cosine function. It is used throughout trigonometry and calculus.',
-    additional_kwargs: {
-      id: 'msg_01PYRhpoUudApdJvxug6R13W',
-      type: 'message',
-      role: 'assistant',
-      model: 'claude-3-sonnet-20240229',
-      stop_reason: 'end_turn',
-      stop_sequence: null
-    }
-  }
-*/
-```
-
-:::tip
-[Langsmith trace](https://smith.langchain.com/public/50377a89-d0b8-413b-8cd7-8e6618835e00/r)
-:::
-
-Looking at the Langsmith trace for the second call, we can see that when constructing the prompt, a "history" variable has been injected which is a list of two messages (our first input and first output).
diff --git a/docs/core_docs/docs/how_to/qa_chat_history_how_to.ipynb b/docs/core_docs/docs/how_to/qa_chat_history_how_to.ipynb
index cead1afc3fa2..4ed8e4bd849e 100644
--- a/docs/core_docs/docs/how_to/qa_chat_history_how_to.ipynb
+++ b/docs/core_docs/docs/how_to/qa_chat_history_how_to.ipynb
@@ -4,24 +4,29 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "# How to add chat history to a question-answering chain\n",
+        "# How to add chat history\n",
         "\n",
-        ":::info Prerequisites\n",
         "\n",
-        "This guide assumes familiarity with the following:\n",
+        ":::note\n",
         "\n",
-        "- [Retrieval-augmented generation](/docs/tutorials/rag/)\n",
+        "This tutorial previously built a chatbot using [RunnableWithMessageHistory](https://api.js.langchain.com/classes/_langchain_core.runnables.RunnableWithMessageHistory.html). You can access this version of the tutorial in the [v0.2 docs](https://js.langchain.com/v0.2/docs/how_to/qa_chat_history_how_to/).\n",
+        "\n",
+        "The LangGraph implementation offers a number of advantages over `RunnableWithMessageHistory`, including the ability to persist arbitrary components of an application's state (instead of only messages).\n",
         "\n",
         ":::\n",
         "\n",
         "In many Q&A applications we want to allow the user to have a back-and-forth conversation, meaning the application needs some sort of \"memory\" of past questions and answers, and some logic for incorporating those into its current thinking.\n",
         "\n",
-        "In this guide we focus on **adding logic for incorporating historical messages, and NOT on chat history management.** Chat history management is [covered here](/docs/how_to/message_history).\n",
+        "In this guide we focus on **adding logic for incorporating historical messages.**\n",
+        "\n",
+        "This is largely a condensed version of the [Conversational RAG tutorial](/docs/tutorials/qa_chat_history).\n",
+        "\n",
+        "We will cover two approaches:\n",
         "\n",
-        "We'll work off of the Q&A app we built over the [LLM Powered Autonomous Agents](https://lilianweng.github.io/posts/2023-06-23-agent/) blog post by Lilian Weng. We'll need to update two things about our existing app:\n",
+        "1. [Chains](/docs/how_to/qa_chat_history_how_to#chains), in which we always execute a retrieval step;\n",
+        "2. [Agents](/docs/how_to/qa_chat_history_how_to#agents), in which we give an LLM discretion over whether and how to execute a retrieval step (or multiple steps).\n",
         "\n",
-        "1. **Prompt**: Update our prompt to support historical messages as an input.\n",
-        "2. **Contextualizing questions**: Add a sub-chain that takes the latest user question and reformulates it in the context of the chat history. This is needed in case the latest question references some context from past messages. For example, if a user asks a follow-up question like \"Can you elaborate on the second point?\", this cannot be understood without the context of the previous message. Therefore we can't effectively perform retrieval with a question like this."
+        "For the external knowledge source, we will use the same [LLM Powered Autonomous Agents](https://lilianweng.github.io/posts/2023-06-23-agent/) blog post by Lilian Weng from the [RAG tutorial](/docs/tutorials/rag)."
       ]
     },
     {
@@ -36,7 +41,7 @@
         "We’ll use the following packages:\n",
         "\n",
         "```bash\n",
-        "npm install --save langchain @langchain/openai cheerio\n",
+        "npm install --save langchain @langchain/openai langchain cheerio uuid\n",
         "```\n",
         "\n",
         "We need to set environment variable `OPENAI_API_KEY`:\n",
@@ -66,6 +71,43 @@
         "```"
       ]
     },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "## Chains {#chains}\n",
+        "\n",
+        "In a conversational RAG application, queries issued to the retriever should be informed by the context of the conversation. LangChain provides a [createHistoryAwareRetriever](https://api.js.langchain.com/functions/langchain.chains_history_aware_retriever.createHistoryAwareRetriever.html) constructor to simplify this. It constructs a chain that accepts keys `input` and `chat_history` as input, and has the same output schema as a retriever. `createHistoryAwareRetriever` requires as inputs:  \n",
+        "\n",
+        "1. LLM;\n",
+        "2. Retriever;\n",
+        "3. Prompt.\n",
+        "\n",
+        "First we obtain these objects:\n",
+        "\n",
+        "### LLM\n",
+        "\n",
+        "We can use any supported chat model:\n",
+        "\n",
+        "```{=mdx}\n",
+        "import ChatModelTabs from \"@theme/ChatModelTabs\"\n",
+        "\n",
+        "<ChatModelTabs customVarName=\"llm\" />\n",
+        "```"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 1,
+      "metadata": {},
+      "outputs": [],
+      "source": [
+        "// @lc-docs-hide-cell\n",
+        "import { ChatOpenAI } from \"@langchain/openai\";\n",
+        "\n",
+        "const llm = new ChatOpenAI({ model: \"gpt-4o\" });"
+      ]
+    },
     {
       "cell_type": "markdown",
       "metadata": {},
@@ -75,21 +117,14 @@
     },
     {
       "cell_type": "code",
-      "execution_count": null,
+      "execution_count": 2,
       "metadata": {},
       "outputs": [],
       "source": [
-        "import \"cheerio\";\n",
         "import { CheerioWebBaseLoader } from \"@langchain/community/document_loaders/web/cheerio\";\n",
         "import { RecursiveCharacterTextSplitter } from \"langchain/text_splitter\";\n",
         "import { MemoryVectorStore } from \"langchain/vectorstores/memory\"\n",
-        "import { OpenAIEmbeddings, ChatOpenAI } from \"@langchain/openai\";\n",
-        "import { pull } from \"langchain/hub\";\n",
-        "import { ChatPromptTemplate } from \"@langchain/core/prompts\";\n",
-        "import { RunnableSequence, RunnablePassthrough } from \"@langchain/core/runnables\";\n",
-        "import { StringOutputParser } from \"@langchain/core/output_parsers\";\n",
-        "\n",
-        "import { createStuffDocumentsChain } from \"langchain/chains/combine_documents\";\n",
+        "import { OpenAIEmbeddings } from \"@langchain/openai\";\n",
         "\n",
         "const loader = new CheerioWebBaseLoader(\n",
         "  \"https://lilianweng.github.io/posts/2023-06-23-agent/\"\n",
@@ -102,14 +137,112 @@
         "const vectorStore = await MemoryVectorStore.fromDocuments(splits, new OpenAIEmbeddings());\n",
         "\n",
         "// Retrieve and generate using the relevant snippets of the blog.\n",
-        "const retriever = vectorStore.asRetriever();\n",
-        "// Tip - you can edit this!\n",
-        "const prompt = await pull<ChatPromptTemplate>(\"rlm/rag-prompt\");\n",
-        "const llm = new ChatOpenAI({ model: \"gpt-3.5-turbo\", temperature: 0 });\n",
-        "const ragChain = await createStuffDocumentsChain({\n",
+        "const retriever = vectorStore.asRetriever();"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "### Prompt\n",
+        "\n",
+        "We'll use a prompt that includes a `MessagesPlaceholder` variable under the name \"chat_history\". This allows us to pass in a list of Messages to the prompt using the \"chat_history\" input key, and these messages will be inserted after the system message and before the human message containing the latest question."
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 3,
+      "metadata": {},
+      "outputs": [],
+      "source": [
+        "import { ChatPromptTemplate, MessagesPlaceholder } from \"@langchain/core/prompts\";\n",
+        "\n",
+        "const contextualizeQSystemPrompt = (\n",
+        "  \"Given a chat history and the latest user question \" +\n",
+        "  \"which might reference context in the chat history, \" +\n",
+        "  \"formulate a standalone question which can be understood \" +\n",
+        "  \"without the chat history. Do NOT answer the question, \" +\n",
+        "  \"just reformulate it if needed and otherwise return it as is.\"\n",
+        ")\n",
+        "\n",
+        "const contextualizeQPrompt = ChatPromptTemplate.fromMessages(\n",
+        "  [\n",
+        "    [\"system\", contextualizeQSystemPrompt],\n",
+        "    new MessagesPlaceholder(\"chat_history\"),\n",
+        "    [\"human\", \"{input}\"],\n",
+        "  ]\n",
+        ")"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "### Assembling the chain\n",
+        "\n",
+        "We can then instantiate the history-aware retriever:"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 5,
+      "metadata": {},
+      "outputs": [],
+      "source": [
+        "import { createHistoryAwareRetriever } from \"langchain/chains/history_aware_retriever\";\n",
+        "\n",
+        "const historyAwareRetriever = await createHistoryAwareRetriever({\n",
         "  llm,\n",
-        "  prompt,\n",
-        "  outputParser: new StringOutputParser(),\n",
+        "  retriever,\n",
+        "  rephrasePrompt: contextualizeQPrompt\n",
+        "});\n"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "This chain prepends a rephrasing of the input query to our retriever, so that the retrieval incorporates the context of the conversation.\n",
+        "\n",
+        "Now we can build our full QA chain.\n",
+        "\n",
+        "As in the [RAG tutorial](/docs/tutorials/rag), we will use [createStuffDocumentsChain](https://api.js.langchain.com/functions/langchain.chains_combine_documents.createStuffDocumentsChain.html) to generate a `questionAnswerChain`, with input keys `context`, `chat_history`, and `input`-- it accepts the retrieved context alongside the conversation history and query to generate an answer.\n",
+        "\n",
+        "We build our final `ragChain` with [createRetrievalChain](https://api.js.langchain.com/functions/langchain.chains_retrieval.createRetrievalChain.html). This chain applies the `historyAwareRetriever` and `questionAnswerChain` in sequence, retaining intermediate outputs such as the retrieved context for convenience. It has input keys `input` and `chat_history`, and includes `input`, `chat_history`, `context`, and `answer` in its output."
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 7,
+      "metadata": {},
+      "outputs": [],
+      "source": [
+        "import { createStuffDocumentsChain } from \"langchain/chains/combine_documents\";\n",
+        "import { createRetrievalChain } from \"langchain/chains/retrieval\";\n",
+        "\n",
+        "const systemPrompt = \n",
+        "  \"You are an assistant for question-answering tasks. \" +\n",
+        "  \"Use the following pieces of retrieved context to answer \" +\n",
+        "  \"the question. If you don't know the answer, say that you \" +\n",
+        "  \"don't know. Use three sentences maximum and keep the \" +\n",
+        "  \"answer concise.\" +\n",
+        "  \"\\n\\n\" +\n",
+        "  \"{context}\";\n",
+        "\n",
+        "const qaPrompt = ChatPromptTemplate.fromMessages([\n",
+        "  [\"system\", systemPrompt],\n",
+        "  new MessagesPlaceholder(\"chat_history\"),\n",
+        "  [\"human\", \"{input}\"],\n",
+        "]);\n",
+        "\n",
+        "const questionAnswerChain = await createStuffDocumentsChain({\n",
+        "  llm,\n",
+        "  prompt: qaPrompt,\n",
+        "});\n",
+        "\n",
+        "const ragChain = await createRetrievalChain({\n",
+        "  retriever: historyAwareRetriever,\n",
+        "  combineDocsChain: questionAnswerChain,\n",
         "});"
       ]
     },
@@ -117,278 +250,885 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "Let's see what this prompt actually looks like"
+        "### Stateful Management of chat history\n",
+        "\n",
+        "We have added application logic for incorporating chat history, but we are still manually plumbing it through our application. In production, the Q&A application we usually persist the chat history into a database, and be able to read and update it appropriately.\n",
+        "\n",
+        "[LangGraph](https://langchain-ai.github.io/langgraphjs/) implements a built-in [persistence layer](https://langchain-ai.github.io/langgraphjs/concepts/persistence/), making it ideal for chat applications that support multiple conversational turns.\n",
+        "\n",
+        "Wrapping our chat model in a minimal LangGraph application allows us to automatically persist the message history, simplifying the development of multi-turn applications.\n",
+        "\n",
+        "LangGraph comes with a simple [in-memory checkpointer](https://langchain-ai.github.io/langgraphjs/reference/classes/checkpoint.MemorySaver.html), which we use below. See its documentation for more detail, including how to use different persistence backends (e.g., SQLite or Postgres).\n",
+        "\n",
+        "For a detailed walkthrough of how to manage message history, head to the How to add message history (memory) guide."
       ]
     },
     {
       "cell_type": "code",
-      "execution_count": 2,
+      "execution_count": 8,
+      "metadata": {},
+      "outputs": [],
+      "source": [
+        "import { AIMessage, BaseMessage, HumanMessage } from \"@langchain/core/messages\";\n",
+        "import { StateGraph, START, END, MemorySaver, messagesStateReducer, Annotation } from \"@langchain/langgraph\";\n",
+        "\n",
+        "// Define the State interface\n",
+        "const GraphAnnotation = Annotation.Root({\n",
+        "  input: Annotation<string>(),\n",
+        "  chat_history: Annotation<BaseMessage[]>({\n",
+        "    reducer: messagesStateReducer,\n",
+        "    default: () => [],\n",
+        "  }),\n",
+        "  context: Annotation<string>(),\n",
+        "  answer: Annotation<string>(),\n",
+        "})\n",
+        "\n",
+        "// Define the call_model function\n",
+        "async function callModel(state: typeof GraphAnnotation.State) {\n",
+        "  const response = await ragChain.invoke(state);\n",
+        "  return {\n",
+        "    chat_history: [\n",
+        "      new HumanMessage(state.input),\n",
+        "      new AIMessage(response.answer),\n",
+        "    ],\n",
+        "    context: response.context,\n",
+        "    answer: response.answer,\n",
+        "  };\n",
+        "}\n",
+        "\n",
+        "// Create the workflow\n",
+        "const workflow = new StateGraph(GraphAnnotation)\n",
+        "  .addNode(\"model\", callModel)\n",
+        "  .addEdge(START, \"model\")\n",
+        "  .addEdge(\"model\", END);\n",
+        "\n",
+        "// Compile the graph with a checkpointer object\n",
+        "const memory = new MemorySaver();\n",
+        "const app = workflow.compile({ checkpointer: memory });"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 9,
       "metadata": {},
       "outputs": [
         {
           "name": "stdout",
           "output_type": "stream",
           "text": [
-            "You are an assistant for question-answering tasks. Use the following pieces of retrieved context to answer the question. If you don't know the answer, just say that you don't know. Use three sentences maximum and keep the answer concise.\n",
-            "Question: {question} \n",
-            "Context: {context} \n",
-            "Answer:\n"
+            "Task Decomposition is the process of breaking down a complicated task into smaller, simpler, and more manageable steps. Techniques like Chain of Thought (CoT) and Tree of Thoughts expand on this by enabling agents to think step by step or explore multiple reasoning possibilities at each step. This allows for a more structured and interpretable approach to handling complex tasks.\n"
           ]
         }
       ],
       "source": [
-        "console.log(prompt.promptMessages.map((msg) => msg.prompt.template).join(\"\\n\"));"
+        "import { v4 as uuidv4 } from \"uuid\";\n",
+        "\n",
+        "const threadId = uuidv4();\n",
+        "const config = { configurable: { thread_id: threadId } };\n",
+        "\n",
+        "const result = await app.invoke(\n",
+        "  { input: \"What is Task Decomposition?\" },\n",
+        "  config,\n",
+        ")\n",
+        "console.log(result.answer);"
       ]
     },
     {
       "cell_type": "code",
-      "execution_count": 3,
+      "execution_count": 10,
       "metadata": {},
       "outputs": [
         {
-          "data": {
-            "text/plain": [
-              "\u001b[32m\"Task Decomposition involves breaking down complex tasks into smaller and simpler steps to make them \"\u001b[39m... 243 more characters"
-            ]
-          },
-          "execution_count": 3,
-          "metadata": {},
-          "output_type": "execute_result"
+          "name": "stdout",
+          "output_type": "stream",
+          "text": [
+            "One way of doing task decomposition is by using an LLM with simple prompting, such as asking \"Steps for XYZ.\\n1.\" or \"What are the subgoals for achieving XYZ?\" This method leverages direct prompts to guide the model in breaking down tasks.\n"
+          ]
         }
       ],
       "source": [
-        "await ragChain.invoke({\n",
-        "  context: await retriever.invoke(\"What is Task Decomposition?\"),\n",
-        "  question: \"What is Task Decomposition?\"\n",
-        "});"
+        "const result2 = await app.invoke(\n",
+        "  { input: \"What is one way of doing it?\" },\n",
+        "  config,\n",
+        ")\n",
+        "console.log(result2.answer);"
       ]
     },
     {
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "## Contextualizing the question\n",
+        "The conversation history can be inspected via the state of the application:"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 11,
+      "metadata": {},
+      "outputs": [
+        {
+          "name": "stdout",
+          "output_type": "stream",
+          "text": [
+            "HumanMessage {\n",
+            "  \"content\": \"What is Task Decomposition?\",\n",
+            "  \"additional_kwargs\": {},\n",
+            "  \"response_metadata\": {}\n",
+            "}\n",
+            "AIMessage {\n",
+            "  \"content\": \"Task Decomposition is the process of breaking down a complicated task into smaller, simpler, and more manageable steps. Techniques like Chain of Thought (CoT) and Tree of Thoughts expand on this by enabling agents to think step by step or explore multiple reasoning possibilities at each step. This allows for a more structured and interpretable approach to handling complex tasks.\",\n",
+            "  \"additional_kwargs\": {},\n",
+            "  \"response_metadata\": {},\n",
+            "  \"tool_calls\": [],\n",
+            "  \"invalid_tool_calls\": []\n",
+            "}\n",
+            "HumanMessage {\n",
+            "  \"content\": \"What is one way of doing it?\",\n",
+            "  \"additional_kwargs\": {},\n",
+            "  \"response_metadata\": {}\n",
+            "}\n",
+            "AIMessage {\n",
+            "  \"content\": \"One way of doing task decomposition is by using an LLM with simple prompting, such as asking \\\"Steps for XYZ.\\\\n1.\\\" or \\\"What are the subgoals for achieving XYZ?\\\" This method leverages direct prompts to guide the model in breaking down tasks.\",\n",
+            "  \"additional_kwargs\": {},\n",
+            "  \"response_metadata\": {},\n",
+            "  \"tool_calls\": [],\n",
+            "  \"invalid_tool_calls\": []\n",
+            "}\n"
+          ]
+        }
+      ],
+      "source": [
+        "const chatHistory = (await app.getState(config)).values.chat_history;\n",
+        "for (const message of chatHistory) {\n",
+        "  console.log(message);\n",
+        "}"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "### Tying it together\n",
         "\n",
-        "First we'll need to define a sub-chain that takes historical messages and the latest user question, and reformulates the question if it makes reference to any information in the historical information.\n",
+        "![](../../static/img/conversational_retrieval_chain.png)\n",
         "\n",
-        "We'll use a prompt that includes a `MessagesPlaceholder` variable under the name \"chat_history\". This allows us to pass in a list of Messages to the prompt using the \"chat_history\" input key, and these messages will be inserted after the system message and before the human message containing the latest question."
+        "For convenience, we tie together all of the necessary steps in a single code cell:"
       ]
     },
     {
       "cell_type": "code",
-      "execution_count": 4,
+      "execution_count": 12,
       "metadata": {},
-      "outputs": [],
+      "outputs": [
+        {
+          "name": "stdout",
+          "output_type": "stream",
+          "text": [
+            "Task Decomposition is the process of breaking a complicated task into smaller, simpler steps to enhance model performance on complex tasks. Techniques like Chain of Thought (CoT) and Tree of Thoughts (ToT) are used for this, with CoT focusing on step-by-step thinking and ToT exploring multiple reasoning possibilities at each step. Decomposition can be carried out by the LLM itself, using task-specific instructions, or through human inputs.\n",
+            "One way of doing task decomposition is by prompting the LLM with simple instructions such as \"Steps for XYZ.\\n1.\" or \"What are the subgoals for achieving XYZ?\" This encourages the model to break down the task into smaller, manageable steps on its own.\n"
+          ]
+        }
+      ],
       "source": [
+        "import { CheerioWebBaseLoader } from \"@langchain/community/document_loaders/web/cheerio\";\n",
+        "import { RecursiveCharacterTextSplitter } from \"langchain/text_splitter\";\n",
+        "import { MemoryVectorStore } from \"langchain/vectorstores/memory\"\n",
+        "import { OpenAIEmbeddings, ChatOpenAI } from \"@langchain/openai\";\n",
         "import { ChatPromptTemplate, MessagesPlaceholder } from \"@langchain/core/prompts\";\n",
+        "import { createHistoryAwareRetriever } from \"langchain/chains/history_aware_retriever\";\n",
+        "import { createStuffDocumentsChain } from \"langchain/chains/combine_documents\";\n",
+        "import { createRetrievalChain } from \"langchain/chains/retrieval\";\n",
+        "import { AIMessage, BaseMessage, HumanMessage } from \"@langchain/core/messages\";\n",
+        "import { StateGraph, START, END, MemorySaver, messagesStateReducer, Annotation } from \"@langchain/langgraph\";\n",
+        "import { v4 as uuidv4 } from \"uuid\";\n",
         "\n",
-        "const contextualizeQSystemPrompt = `Given a chat history and the latest user question\n",
-        "which might reference context in the chat history, formulate a standalone question\n",
-        "which can be understood without the chat history. Do NOT answer the question,\n",
-        "just reformulate it if needed and otherwise return it as is.`;\n",
+        "const llm2 = new ChatOpenAI({ model: \"gpt-4o\" });\n",
         "\n",
-        "const contextualizeQPrompt = ChatPromptTemplate.fromMessages([\n",
-        "  [\"system\", contextualizeQSystemPrompt],\n",
+        "const loader2 = new CheerioWebBaseLoader(\n",
+        "  \"https://lilianweng.github.io/posts/2023-06-23-agent/\"\n",
+        ");\n",
+        "\n",
+        "const docs2 = await loader2.load();\n",
+        "\n",
+        "const textSplitter2 = new RecursiveCharacterTextSplitter({ chunkSize: 1000, chunkOverlap: 200 });\n",
+        "const splits2 = await textSplitter2.splitDocuments(docs2);\n",
+        "const vectorStore2 = await MemoryVectorStore.fromDocuments(splits2, new OpenAIEmbeddings());\n",
+        "\n",
+        "// Retrieve and generate using the relevant snippets of the blog.\n",
+        "const retriever2 = vectorStore2.asRetriever();\n",
+        "\n",
+        "const contextualizeQSystemPrompt2 =\n",
+        "  \"Given a chat history and the latest user question \" +\n",
+        "  \"which might reference context in the chat history, \" +\n",
+        "  \"formulate a standalone question which can be understood \" +\n",
+        "  \"without the chat history. Do NOT answer the question, \" +\n",
+        "  \"just reformulate it if needed and otherwise return it as is.\";\n",
+        "\n",
+        "const contextualizeQPrompt2 = ChatPromptTemplate.fromMessages(\n",
+        "  [\n",
+        "    [\"system\", contextualizeQSystemPrompt2],\n",
+        "    new MessagesPlaceholder(\"chat_history\"),\n",
+        "    [\"human\", \"{input}\"],\n",
+        "  ]\n",
+        ")\n",
+        "\n",
+        "const historyAwareRetriever2 = await createHistoryAwareRetriever({\n",
+        "  llm: llm2,\n",
+        "  retriever: retriever2,\n",
+        "  rephrasePrompt: contextualizeQPrompt2\n",
+        "});\n",
+        "\n",
+        "const systemPrompt2 = \n",
+        "  \"You are an assistant for question-answering tasks. \" +\n",
+        "  \"Use the following pieces of retrieved context to answer \" +\n",
+        "  \"the question. If you don't know the answer, say that you \" +\n",
+        "  \"don't know. Use three sentences maximum and keep the \" +\n",
+        "  \"answer concise.\" +\n",
+        "  \"\\n\\n\" +\n",
+        "  \"{context}\";\n",
+        "\n",
+        "const qaPrompt2 = ChatPromptTemplate.fromMessages([\n",
+        "  [\"system\", systemPrompt2],\n",
         "  new MessagesPlaceholder(\"chat_history\"),\n",
-        "  [\"human\", \"{question}\"]\n",
+        "  [\"human\", \"{input}\"],\n",
         "]);\n",
-        "const contextualizeQChain = contextualizeQPrompt.pipe(llm).pipe(new StringOutputParser());"
+        "\n",
+        "const questionAnswerChain2 = await createStuffDocumentsChain({\n",
+        "  llm: llm2,\n",
+        "  prompt: qaPrompt2,\n",
+        "});\n",
+        "\n",
+        "const ragChain2 = await createRetrievalChain({\n",
+        "  retriever: historyAwareRetriever2,\n",
+        "  combineDocsChain: questionAnswerChain2,\n",
+        "});\n",
+        "\n",
+        "// Define the State interface\n",
+        "const GraphAnnotation2 = Annotation.Root({\n",
+        "  input: Annotation<string>(),\n",
+        "  chat_history: Annotation<BaseMessage[]>({\n",
+        "    reducer: messagesStateReducer,\n",
+        "    default: () => [],\n",
+        "  }),\n",
+        "  context: Annotation<string>(),\n",
+        "  answer: Annotation<string>(),\n",
+        "})\n",
+        "\n",
+        "// Define the call_model function\n",
+        "async function callModel2(state: typeof GraphAnnotation2.State) {\n",
+        "  const response = await ragChain2.invoke(state);\n",
+        "  return {\n",
+        "    chat_history: [\n",
+        "      new HumanMessage(state.input),\n",
+        "      new AIMessage(response.answer),\n",
+        "    ],\n",
+        "    context: response.context,\n",
+        "    answer: response.answer,\n",
+        "  };\n",
+        "}\n",
+        "\n",
+        "// Create the workflow\n",
+        "const workflow2 = new StateGraph(GraphAnnotation2)\n",
+        "  .addNode(\"model\", callModel2)\n",
+        "  .addEdge(START, \"model\")\n",
+        "  .addEdge(\"model\", END);\n",
+        "\n",
+        "// Compile the graph with a checkpointer object\n",
+        "const memory2 = new MemorySaver();\n",
+        "const app2 = workflow2.compile({ checkpointer: memory2 });\n",
+        "\n",
+        "const threadId2 = uuidv4();\n",
+        "const config2 = { configurable: { thread_id: threadId2 } };\n",
+        "\n",
+        "const result3 = await app2.invoke(\n",
+        "  { input: \"What is Task Decomposition?\" },\n",
+        "  config2,\n",
+        ")\n",
+        "console.log(result3.answer);\n",
+        "\n",
+        "const result4 = await app2.invoke(\n",
+        "  { input: \"What is one way of doing it?\" },\n",
+        "  config2,\n",
+        ")\n",
+        "console.log(result4.answer);"
       ]
     },
     {
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "Using this chain we can ask follow-up questions that reference past messages and have them reformulated into standalone questions:"
+        "## Agents {#agents}\n",
+        "\n",
+        "Agents leverage the reasoning capabilities of LLMs to make decisions during execution. Using agents allow you to offload some discretion over the retrieval process. Although their behavior is less predictable than chains, they offer some advantages in this context:\n",
+        "- Agents generate the input to the retriever directly, without necessarily needing us to explicitly build in contextualization, as we did above;\n",
+        "- Agents can execute multiple retrieval steps in service of a query, or refrain from executing a retrieval step altogether (e.g., in response to a generic greeting from a user).\n",
+        "\n",
+        "### Retrieval tool\n",
+        "\n",
+        "Agents can access \"tools\" and manage their execution. In this case, we will convert our retriever into a LangChain tool to be wielded by the agent:"
       ]
     },
     {
       "cell_type": "code",
-      "execution_count": 5,
+      "execution_count": 13,
       "metadata": {},
-      "outputs": [
-        {
-          "data": {
-            "text/plain": [
-              "\u001b[32m'What is the definition of \"large\" in this context?'\u001b[39m"
-            ]
-          },
-          "execution_count": 5,
-          "metadata": {},
-          "output_type": "execute_result"
-        }
-      ],
+      "outputs": [],
       "source": [
-        "import { AIMessage, HumanMessage } from \"@langchain/core/messages\";\n",
+        "import { createRetrieverTool } from \"langchain/tools/retriever\";\n",
         "\n",
-        "await contextualizeQChain.invoke({\n",
-        "  chat_history: [\n",
-        "    new HumanMessage(\"What does LLM stand for?\"),\n",
-        "    new AIMessage(\"Large language model\") \n",
-        "  ],\n",
-        "  question: \"What is meant by large\",\n",
-        "})"
+        "const tool =  createRetrieverTool(\n",
+        "    retriever,\n",
+        "    {\n",
+        "      name: \"blog_post_retriever\",\n",
+        "      description: \"Searches and returns excerpts from the Autonomous Agents blog post.\",\n",
+        "    }\n",
+        ")\n",
+        "const tools = [tool]"
       ]
     },
     {
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "## Chain with chat history\n",
+        "### Agent constructor\n",
         "\n",
-        "And now we can build our full QA chain. \n",
+        "Now that we have defined the tools and the LLM, we can create the agent. We will be using [LangGraph](/docs/concepts/#langgraph) to construct the agent. \n",
+        "Currently we are using a high level interface to construct the agent, but the nice thing about LangGraph is that this high-level interface is backed by a low-level, highly controllable API in case you want to modify the agent logic."
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 16,
+      "metadata": {},
+      "outputs": [],
+      "source": [
+        "import { createReactAgent } from \"@langchain/langgraph/prebuilt\";\n",
         "\n",
-        "Notice we add some routing functionality to only run the \"condense question chain\" when our chat history isn't empty. Here we're taking advantage of the fact that if a function in an LCEL chain returns another chain, that chain will itself be invoked."
+        "const agentExecutor = createReactAgent({ llm, tools })"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "We can now try it out. Note that so far it is not stateful (we still need to add in memory)"
       ]
     },
     {
       "cell_type": "code",
-      "execution_count": 6,
+      "execution_count": 17,
       "metadata": {},
       "outputs": [
         {
           "name": "stdout",
           "output_type": "stream",
           "text": [
-            "AIMessage {\n",
-            "  lc_serializable: true,\n",
-            "  lc_kwargs: {\n",
-            "    content: \"Task decomposition involves breaking down a complex task into smaller and simpler steps to make it m\"... 358 more characters,\n",
-            "    tool_calls: [],\n",
-            "    invalid_tool_calls: [],\n",
-            "    additional_kwargs: { function_call: undefined, tool_calls: undefined },\n",
-            "    response_metadata: {}\n",
-            "  },\n",
-            "  lc_namespace: [ \"langchain_core\", \"messages\" ],\n",
-            "  content: \"Task decomposition involves breaking down a complex task into smaller and simpler steps to make it m\"... 358 more characters,\n",
-            "  name: undefined,\n",
-            "  additional_kwargs: { function_call: undefined, tool_calls: undefined },\n",
-            "  response_metadata: {\n",
-            "    tokenUsage: { completionTokens: 83, promptTokens: 701, totalTokens: 784 },\n",
-            "    finish_reason: \"stop\"\n",
-            "  },\n",
-            "  tool_calls: [],\n",
-            "  invalid_tool_calls: []\n",
-            "}\n"
+            "{\n",
+            "  agent: {\n",
+            "    messages: [\n",
+            "      AIMessage {\n",
+            "        \"id\": \"chatcmpl-AB7xlcJBGSKSp1GvgDY9FP8KvXxwB\",\n",
+            "        \"content\": \"\",\n",
+            "        \"additional_kwargs\": {\n",
+            "          \"tool_calls\": [\n",
+            "            {\n",
+            "              \"id\": \"call_Ev0nA6nzGwOeMC5upJUUxTuw\",\n",
+            "              \"type\": \"function\",\n",
+            "              \"function\": \"[Object]\"\n",
+            "            }\n",
+            "          ]\n",
+            "        },\n",
+            "        \"response_metadata\": {\n",
+            "          \"tokenUsage\": {\n",
+            "            \"completionTokens\": 19,\n",
+            "            \"promptTokens\": 66,\n",
+            "            \"totalTokens\": 85\n",
+            "          },\n",
+            "          \"finish_reason\": \"tool_calls\",\n",
+            "          \"system_fingerprint\": \"fp_52a7f40b0b\"\n",
+            "        },\n",
+            "        \"tool_calls\": [\n",
+            "          {\n",
+            "            \"name\": \"blog_post_retriever\",\n",
+            "            \"args\": {\n",
+            "              \"query\": \"Task Decomposition\"\n",
+            "            },\n",
+            "            \"type\": \"tool_call\",\n",
+            "            \"id\": \"call_Ev0nA6nzGwOeMC5upJUUxTuw\"\n",
+            "          }\n",
+            "        ],\n",
+            "        \"invalid_tool_calls\": [],\n",
+            "        \"usage_metadata\": {\n",
+            "          \"input_tokens\": 66,\n",
+            "          \"output_tokens\": 19,\n",
+            "          \"total_tokens\": 85\n",
+            "        }\n",
+            "      }\n",
+            "    ]\n",
+            "  }\n",
+            "}\n",
+            "----\n",
+            "{\n",
+            "  tools: {\n",
+            "    messages: [\n",
+            "      ToolMessage {\n",
+            "        \"content\": \"Fig. 1. Overview of a LLM-powered autonomous agent system.\\nComponent One: Planning#\\nA complicated task usually involves many steps. An agent needs to know what they are and plan ahead.\\nTask Decomposition#\\nChain of thought (CoT; Wei et al. 2022) has become a standard prompting technique for enhancing model performance on complex tasks. The model is instructed to “think step by step” to utilize more test-time computation to decompose hard tasks into smaller and simpler steps. CoT transforms big tasks into multiple manageable tasks and shed lights into an interpretation of the model’s thinking process.\\nTree of Thoughts (Yao et al. 2023) extends CoT by exploring multiple reasoning possibilities at each step. It first decomposes the problem into multiple thought steps and generates multiple thoughts per step, creating a tree structure. The search process can be BFS (breadth-first search) or DFS (depth-first search) with each state evaluated by a classifier (via a prompt) or majority vote.\\n\\nTask decomposition can be done (1) by LLM with simple prompting like \\\"Steps for XYZ.\\\\n1.\\\", \\\"What are the subgoals for achieving XYZ?\\\", (2) by using task-specific instructions; e.g. \\\"Write a story outline.\\\" for writing a novel, or (3) with human inputs.\\nAnother quite distinct approach, LLM+P (Liu et al. 2023), involves relying on an external classical planner to do long-horizon planning. This approach utilizes the Planning Domain Definition Language (PDDL) as an intermediate interface to describe the planning problem. In this process, LLM (1) translates the problem into “Problem PDDL”, then (2) requests a classical planner to generate a PDDL plan based on an existing “Domain PDDL”, and finally (3) translates the PDDL plan back into natural language. Essentially, the planning step is outsourced to an external tool, assuming the availability of domain-specific PDDL and a suitable planner which is common in certain robotic setups but not in many other domains.\\nSelf-Reflection#\\n\\nAgent System Overview\\n                \\n                    Component One: Planning\\n                        \\n                \\n                    Task Decomposition\\n                \\n                    Self-Reflection\\n                \\n                \\n                    Component Two: Memory\\n                        \\n                \\n                    Types of Memory\\n                \\n                    Maximum Inner Product Search (MIPS)\\n                \\n                \\n                    Component Three: Tool Use\\n                \\n                    Case Studies\\n                        \\n                \\n                    Scientific Discovery Agent\\n                \\n                    Generative Agents Simulation\\n                \\n                    Proof-of-Concept Examples\\n                \\n                \\n                    Challenges\\n                \\n                    Citation\\n                \\n                    References\\n\\n(3) Task execution: Expert models execute on the specific tasks and log results.\\nInstruction:\\n\\nWith the input and the inference results, the AI assistant needs to describe the process and results. The previous stages can be formed as - User Input: {{ User Input }}, Task Planning: {{ Tasks }}, Model Selection: {{ Model Assignment }}, Task Execution: {{ Predictions }}. You must first answer the user's request in a straightforward manner. Then describe the task process and show your analysis and model inference results to the user in the first person. If inference results contain a file path, must tell the user the complete file path.\",\n",
+            "        \"name\": \"blog_post_retriever\",\n",
+            "        \"additional_kwargs\": {},\n",
+            "        \"response_metadata\": {},\n",
+            "        \"tool_call_id\": \"call_Ev0nA6nzGwOeMC5upJUUxTuw\"\n",
+            "      }\n",
+            "    ]\n",
+            "  }\n",
+            "}\n",
+            "----\n",
+            "{\n",
+            "  agent: {\n",
+            "    messages: [\n",
+            "      AIMessage {\n",
+            "        \"id\": \"chatcmpl-AB7xmiPNPbMX2KvZKHM2oPfcoFMnY\",\n",
+            "        \"content\": \"**Task Decomposition** involves breaking down a complicated or large task into smaller, more manageable subtasks. Here are some insights based on current techniques and research:\\n\\n1. **Chain of Thought (CoT)**:\\n   - Introduced by Wei et al. (2022), this technique prompts the model to \\\"think step by step\\\".\\n   - It helps decompose hard tasks into several simpler steps.\\n   - Enhances the interpretability of the model's thought process.\\n\\n2. **Tree of Thoughts (ToT)**:\\n   - An extension of CoT by Yao et al. (2023).\\n   - Decomposes problems into multiple thought steps and generates several possibilities at each step.\\n   - Utilizes tree structures through BFS (Breadth-First Search) or DFS (Depth-First Search) with evaluation by a classifier or majority vote.\\n\\n3. **Methods of Task Decomposition**:\\n   - **Simple Prompting**: Asking the model directly, e.g., \\\"Steps for XYZ.\\\\n1.\\\" or \\\"What are the subgoals for achieving XYZ?\\\".\\n   - **Task-Specific Instructions**: Tailoring instructions to the task, such as \\\"Write a story outline\\\" for writing a novel.\\n   - **Human Inputs**: Receiving inputs from humans to refine the process.\\n\\n4. **LLM+P Approach**:\\n   - Suggested by Liu et al. (2023), combines language models with an external classical planner.\\n   - Uses Planning Domain Definition Language (PDDL) for long-horizon planning:\\n     1. Translates the problem into a PDDL problem.\\n     2. Requests an external planner to generate a PDDL plan.\\n     3. Translates the PDDL plan back into natural language.\\n   - This method offloads the planning complexity to a specialized tool, especially relevant for domains utilizing robotic setups.\\n\\nTask Decomposition is a fundamental component of planning in autonomous agent systems, aiding in the efficient accomplishment of complex tasks by breaking them into smaller, actionable steps.\",\n",
+            "        \"additional_kwargs\": {},\n",
+            "        \"response_metadata\": {\n",
+            "          \"tokenUsage\": {\n",
+            "            \"completionTokens\": 411,\n",
+            "            \"promptTokens\": 732,\n",
+            "            \"totalTokens\": 1143\n",
+            "          },\n",
+            "          \"finish_reason\": \"stop\",\n",
+            "          \"system_fingerprint\": \"fp_e375328146\"\n",
+            "        },\n",
+            "        \"tool_calls\": [],\n",
+            "        \"invalid_tool_calls\": [],\n",
+            "        \"usage_metadata\": {\n",
+            "          \"input_tokens\": 732,\n",
+            "          \"output_tokens\": 411,\n",
+            "          \"total_tokens\": 1143\n",
+            "        }\n",
+            "      }\n",
+            "    ]\n",
+            "  }\n",
+            "}\n",
+            "----\n"
           ]
-        },
-        {
-          "data": {
-            "text/plain": [
-              "AIMessage {\n",
-              "  lc_serializable: \u001b[33mtrue\u001b[39m,\n",
-              "  lc_kwargs: {\n",
-              "    content: \u001b[32m\"Common ways of task decomposition include using simple prompting techniques like Chain of Thought (C\"\u001b[39m... 353 more characters,\n",
-              "    tool_calls: [],\n",
-              "    invalid_tool_calls: [],\n",
-              "    additional_kwargs: { function_call: \u001b[90mundefined\u001b[39m, tool_calls: \u001b[90mundefined\u001b[39m },\n",
-              "    response_metadata: {}\n",
-              "  },\n",
-              "  lc_namespace: [ \u001b[32m\"langchain_core\"\u001b[39m, \u001b[32m\"messages\"\u001b[39m ],\n",
-              "  content: \u001b[32m\"Common ways of task decomposition include using simple prompting techniques like Chain of Thought (C\"\u001b[39m... 353 more characters,\n",
-              "  name: \u001b[90mundefined\u001b[39m,\n",
-              "  additional_kwargs: { function_call: \u001b[90mundefined\u001b[39m, tool_calls: \u001b[90mundefined\u001b[39m },\n",
-              "  response_metadata: {\n",
-              "    tokenUsage: { completionTokens: \u001b[33m81\u001b[39m, promptTokens: \u001b[33m779\u001b[39m, totalTokens: \u001b[33m860\u001b[39m },\n",
-              "    finish_reason: \u001b[32m\"stop\"\u001b[39m\n",
-              "  },\n",
-              "  tool_calls: [],\n",
-              "  invalid_tool_calls: []\n",
-              "}"
-            ]
-          },
-          "execution_count": 6,
-          "metadata": {},
-          "output_type": "execute_result"
         }
       ],
       "source": [
-        "import { ChatPromptTemplate, MessagesPlaceholder } from \"@langchain/core/prompts\"\n",
-        "import { RunnablePassthrough, RunnableSequence } from \"@langchain/core/runnables\";\n",
-        "import { formatDocumentsAsString } from \"langchain/util/document\";\n",
+        "const query = \"What is Task Decomposition?\"\n",
         "\n",
-        "const qaSystemPrompt = `You are an assistant for question-answering tasks.\n",
-        "Use the following pieces of retrieved context to answer the question.\n",
-        "If you don't know the answer, just say that you don't know.\n",
-        "Use three sentences maximum and keep the answer concise.\n",
+        "for await (const s of await agentExecutor.stream(\n",
+        "  { messages: [{ role: \"user\", content: query }] },\n",
+        ")){\n",
+        "  console.log(s)\n",
+        "  console.log(\"----\")\n",
+        "}"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "LangGraph comes with built in persistence, so we don't need to use `ChatMessageHistory`! Rather, we can pass in a checkpointer to our LangGraph agent directly.\n",
         "\n",
-        "{context}`\n",
+        "Distinct conversations are managed by specifying a key for a conversation thread in the config object, as shown below."
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 19,
+      "metadata": {},
+      "outputs": [],
+      "source": [
+        "import { MemorySaver } from \"@langchain/langgraph\";\n",
         "\n",
-        "const qaPrompt = ChatPromptTemplate.fromMessages([\n",
-        "  [\"system\", qaSystemPrompt],\n",
-        "  new MessagesPlaceholder(\"chat_history\"),\n",
-        "  [\"human\", \"{question}\"]\n",
-        "]);\n",
+        "const memory3 = new MemorySaver();\n",
         "\n",
-        "const contextualizedQuestion = (input: Record<string, unknown>) => {\n",
-        "  if (\"chat_history\" in input) {\n",
-        "    return contextualizeQChain;\n",
-        "  }\n",
-        "  return input.question;\n",
-        "};\n",
-        "\n",
-        "const ragChain = RunnableSequence.from([\n",
-        "  RunnablePassthrough.assign({\n",
-        "    context: async (input: Record<string, unknown>) => {\n",
-        "      if (\"chat_history\" in input) {\n",
-        "        const chain = contextualizedQuestion(input);\n",
-        "        return chain.pipe(retriever).pipe(formatDocumentsAsString);\n",
-        "      }\n",
-        "      return \"\";\n",
-        "    },\n",
-        "  }),\n",
-        "  qaPrompt,\n",
-        "  llm\n",
-        "]);\n",
+        "const agentExecutor2 = createReactAgent({ llm, tools, checkpointSaver: memory3 })"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "This is all we need to construct a conversational RAG agent.\n",
         "\n",
-        "const chat_history = [];\n",
+        "Let's observe its behavior. Note that if we input a query that does not require a retrieval step, the agent does not execute one:"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 20,
+      "metadata": {},
+      "outputs": [
+        {
+          "name": "stdout",
+          "output_type": "stream",
+          "text": [
+            "{\n",
+            "  agent: {\n",
+            "    messages: [\n",
+            "      AIMessage {\n",
+            "        \"id\": \"chatcmpl-AB7y8P8AGHkxOwKpwMc3qj6r0skYr\",\n",
+            "        \"content\": \"Hello, Bob! How can I assist you today?\",\n",
+            "        \"additional_kwargs\": {},\n",
+            "        \"response_metadata\": {\n",
+            "          \"tokenUsage\": {\n",
+            "            \"completionTokens\": 12,\n",
+            "            \"promptTokens\": 64,\n",
+            "            \"totalTokens\": 76\n",
+            "          },\n",
+            "          \"finish_reason\": \"stop\",\n",
+            "          \"system_fingerprint\": \"fp_e375328146\"\n",
+            "        },\n",
+            "        \"tool_calls\": [],\n",
+            "        \"invalid_tool_calls\": [],\n",
+            "        \"usage_metadata\": {\n",
+            "          \"input_tokens\": 64,\n",
+            "          \"output_tokens\": 12,\n",
+            "          \"total_tokens\": 76\n",
+            "        }\n",
+            "      }\n",
+            "    ]\n",
+            "  }\n",
+            "}\n",
+            "----\n"
+          ]
+        }
+      ],
+      "source": [
+        "const threadId3 = uuidv4();\n",
+        "const config3 = { configurable: { thread_id: threadId3 } };\n",
         "\n",
-        "const question = \"What is task decomposition?\";\n",
-        "const aiMsg = await ragChain.invoke({ question, chat_history });\n",
+        "for await (const s of await agentExecutor2.stream({ messages: [{ role: \"user\", content: \"Hi! I'm bob\" }] }, config3)) {\n",
+        "  console.log(s)\n",
+        "  console.log(\"----\")\n",
+        "}"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Further, if we input a query that does require a retrieval step, the agent generates the input to the tool:"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 21,
+      "metadata": {},
+      "outputs": [
+        {
+          "name": "stdout",
+          "output_type": "stream",
+          "text": [
+            "{\n",
+            "  agent: {\n",
+            "    messages: [\n",
+            "      AIMessage {\n",
+            "        \"id\": \"chatcmpl-AB7y8Do2IHJ2rnUvvMU3pTggmuZud\",\n",
+            "        \"content\": \"\",\n",
+            "        \"additional_kwargs\": {\n",
+            "          \"tool_calls\": [\n",
+            "            {\n",
+            "              \"id\": \"call_3tSaOZ3xdKY4miIJdvBMR80V\",\n",
+            "              \"type\": \"function\",\n",
+            "              \"function\": \"[Object]\"\n",
+            "            }\n",
+            "          ]\n",
+            "        },\n",
+            "        \"response_metadata\": {\n",
+            "          \"tokenUsage\": {\n",
+            "            \"completionTokens\": 19,\n",
+            "            \"promptTokens\": 89,\n",
+            "            \"totalTokens\": 108\n",
+            "          },\n",
+            "          \"finish_reason\": \"tool_calls\",\n",
+            "          \"system_fingerprint\": \"fp_e375328146\"\n",
+            "        },\n",
+            "        \"tool_calls\": [\n",
+            "          {\n",
+            "            \"name\": \"blog_post_retriever\",\n",
+            "            \"args\": {\n",
+            "              \"query\": \"Task Decomposition\"\n",
+            "            },\n",
+            "            \"type\": \"tool_call\",\n",
+            "            \"id\": \"call_3tSaOZ3xdKY4miIJdvBMR80V\"\n",
+            "          }\n",
+            "        ],\n",
+            "        \"invalid_tool_calls\": [],\n",
+            "        \"usage_metadata\": {\n",
+            "          \"input_tokens\": 89,\n",
+            "          \"output_tokens\": 19,\n",
+            "          \"total_tokens\": 108\n",
+            "        }\n",
+            "      }\n",
+            "    ]\n",
+            "  }\n",
+            "}\n",
+            "----\n",
+            "{\n",
+            "  tools: {\n",
+            "    messages: [\n",
+            "      ToolMessage {\n",
+            "        \"content\": \"Fig. 1. Overview of a LLM-powered autonomous agent system.\\nComponent One: Planning#\\nA complicated task usually involves many steps. An agent needs to know what they are and plan ahead.\\nTask Decomposition#\\nChain of thought (CoT; Wei et al. 2022) has become a standard prompting technique for enhancing model performance on complex tasks. The model is instructed to “think step by step” to utilize more test-time computation to decompose hard tasks into smaller and simpler steps. CoT transforms big tasks into multiple manageable tasks and shed lights into an interpretation of the model’s thinking process.\\nTree of Thoughts (Yao et al. 2023) extends CoT by exploring multiple reasoning possibilities at each step. It first decomposes the problem into multiple thought steps and generates multiple thoughts per step, creating a tree structure. The search process can be BFS (breadth-first search) or DFS (depth-first search) with each state evaluated by a classifier (via a prompt) or majority vote.\\n\\nTask decomposition can be done (1) by LLM with simple prompting like \\\"Steps for XYZ.\\\\n1.\\\", \\\"What are the subgoals for achieving XYZ?\\\", (2) by using task-specific instructions; e.g. \\\"Write a story outline.\\\" for writing a novel, or (3) with human inputs.\\nAnother quite distinct approach, LLM+P (Liu et al. 2023), involves relying on an external classical planner to do long-horizon planning. This approach utilizes the Planning Domain Definition Language (PDDL) as an intermediate interface to describe the planning problem. In this process, LLM (1) translates the problem into “Problem PDDL”, then (2) requests a classical planner to generate a PDDL plan based on an existing “Domain PDDL”, and finally (3) translates the PDDL plan back into natural language. Essentially, the planning step is outsourced to an external tool, assuming the availability of domain-specific PDDL and a suitable planner which is common in certain robotic setups but not in many other domains.\\nSelf-Reflection#\\n\\nAgent System Overview\\n                \\n                    Component One: Planning\\n                        \\n                \\n                    Task Decomposition\\n                \\n                    Self-Reflection\\n                \\n                \\n                    Component Two: Memory\\n                        \\n                \\n                    Types of Memory\\n                \\n                    Maximum Inner Product Search (MIPS)\\n                \\n                \\n                    Component Three: Tool Use\\n                \\n                    Case Studies\\n                        \\n                \\n                    Scientific Discovery Agent\\n                \\n                    Generative Agents Simulation\\n                \\n                    Proof-of-Concept Examples\\n                \\n                \\n                    Challenges\\n                \\n                    Citation\\n                \\n                    References\\n\\n(3) Task execution: Expert models execute on the specific tasks and log results.\\nInstruction:\\n\\nWith the input and the inference results, the AI assistant needs to describe the process and results. The previous stages can be formed as - User Input: {{ User Input }}, Task Planning: {{ Tasks }}, Model Selection: {{ Model Assignment }}, Task Execution: {{ Predictions }}. You must first answer the user's request in a straightforward manner. Then describe the task process and show your analysis and model inference results to the user in the first person. If inference results contain a file path, must tell the user the complete file path.\",\n",
+            "        \"name\": \"blog_post_retriever\",\n",
+            "        \"additional_kwargs\": {},\n",
+            "        \"response_metadata\": {},\n",
+            "        \"tool_call_id\": \"call_3tSaOZ3xdKY4miIJdvBMR80V\"\n",
+            "      }\n",
+            "    ]\n",
+            "  }\n",
+            "}\n",
+            "----\n",
+            "{\n",
+            "  agent: {\n",
+            "    messages: [\n",
+            "      AIMessage {\n",
+            "        \"id\": \"chatcmpl-AB7y9tpoTvM3lsrhoxCWkkerk9fb2\",\n",
+            "        \"content\": \"Task decomposition is a methodology used to break down complex tasks into smaller, more manageable steps. Here’s an overview of various approaches to task decomposition:\\n\\n1. **Chain of Thought (CoT)**: This technique prompts a model to \\\"think step by step,\\\" which aids in transforming big tasks into multiple smaller tasks. This method enhances the model’s performance on complex tasks by making the problem more manageable and interpretable.\\n\\n2. **Tree of Thoughts (ToT)**: An extension of Chain of Thought, this approach explores multiple reasoning possibilities at each step, effectively creating a tree structure. The search process can be carried out using Breadth-First Search (BFS) or Depth-First Search (DFS), with each state evaluated by either a classifier or a majority vote.\\n\\n3. **Simple Prompting**: Involves straightforward instructions to decompose a task, such as starting with \\\"Steps for XYZ. 1.\\\" or asking \\\"What are the subgoals for achieving XYZ?\\\". This can also include task-specific instructions like \\\"Write a story outline\\\" for writing a novel.\\n\\n4. **LLM+P**: Combines Large Language Models (LLMs) with an external classical planner. The problem is translated into a Planning Domain Definition Language (PDDL) format, an external planner generates a plan, and then the plan is translated back into natural language. This approach highlights a synergy between modern AI techniques and traditional planning strategies.\\n\\nThese approaches allow complex problems to be approached and solved more efficiently by focusing on manageable sub-tasks.\",\n",
+            "        \"additional_kwargs\": {},\n",
+            "        \"response_metadata\": {\n",
+            "          \"tokenUsage\": {\n",
+            "            \"completionTokens\": 311,\n",
+            "            \"promptTokens\": 755,\n",
+            "            \"totalTokens\": 1066\n",
+            "          },\n",
+            "          \"finish_reason\": \"stop\",\n",
+            "          \"system_fingerprint\": \"fp_52a7f40b0b\"\n",
+            "        },\n",
+            "        \"tool_calls\": [],\n",
+            "        \"invalid_tool_calls\": [],\n",
+            "        \"usage_metadata\": {\n",
+            "          \"input_tokens\": 755,\n",
+            "          \"output_tokens\": 311,\n",
+            "          \"total_tokens\": 1066\n",
+            "        }\n",
+            "      }\n",
+            "    ]\n",
+            "  }\n",
+            "}\n",
+            "----\n"
+          ]
+        }
+      ],
+      "source": [
+        "const query2 = \"What is Task Decomposition?\"\n",
         "\n",
-        "console.log(aiMsg)\n",
+        "for await (const s of await agentExecutor2.stream({ messages: [{ role: \"user\", content: query2 }] }, config3)) {\n",
+        "  console.log(s)\n",
+        "  console.log(\"----\")\n",
+        "}"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Above, instead of inserting our query verbatim into the tool, the agent stripped unnecessary words like \"what\" and \"is\".\n",
         "\n",
-        "chat_history.push(aiMsg);\n",
+        "This same principle allows the agent to use the context of the conversation when necessary:"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 22,
+      "metadata": {},
+      "outputs": [
+        {
+          "name": "stdout",
+          "output_type": "stream",
+          "text": [
+            "{\n",
+            "  agent: {\n",
+            "    messages: [\n",
+            "      AIMessage {\n",
+            "        \"id\": \"chatcmpl-AB7yDE4rCOXTPZ3595GknUgVzASmt\",\n",
+            "        \"content\": \"\",\n",
+            "        \"additional_kwargs\": {\n",
+            "          \"tool_calls\": [\n",
+            "            {\n",
+            "              \"id\": \"call_cWnDZq2aloVtMB4KjZlTxHmZ\",\n",
+            "              \"type\": \"function\",\n",
+            "              \"function\": \"[Object]\"\n",
+            "            }\n",
+            "          ]\n",
+            "        },\n",
+            "        \"response_metadata\": {\n",
+            "          \"tokenUsage\": {\n",
+            "            \"completionTokens\": 21,\n",
+            "            \"promptTokens\": 1089,\n",
+            "            \"totalTokens\": 1110\n",
+            "          },\n",
+            "          \"finish_reason\": \"tool_calls\",\n",
+            "          \"system_fingerprint\": \"fp_52a7f40b0b\"\n",
+            "        },\n",
+            "        \"tool_calls\": [\n",
+            "          {\n",
+            "            \"name\": \"blog_post_retriever\",\n",
+            "            \"args\": {\n",
+            "              \"query\": \"common ways of task decomposition\"\n",
+            "            },\n",
+            "            \"type\": \"tool_call\",\n",
+            "            \"id\": \"call_cWnDZq2aloVtMB4KjZlTxHmZ\"\n",
+            "          }\n",
+            "        ],\n",
+            "        \"invalid_tool_calls\": [],\n",
+            "        \"usage_metadata\": {\n",
+            "          \"input_tokens\": 1089,\n",
+            "          \"output_tokens\": 21,\n",
+            "          \"total_tokens\": 1110\n",
+            "        }\n",
+            "      }\n",
+            "    ]\n",
+            "  }\n",
+            "}\n",
+            "----\n",
+            "{\n",
+            "  tools: {\n",
+            "    messages: [\n",
+            "      ToolMessage {\n",
+            "        \"content\": \"Fig. 1. Overview of a LLM-powered autonomous agent system.\\nComponent One: Planning#\\nA complicated task usually involves many steps. An agent needs to know what they are and plan ahead.\\nTask Decomposition#\\nChain of thought (CoT; Wei et al. 2022) has become a standard prompting technique for enhancing model performance on complex tasks. The model is instructed to “think step by step” to utilize more test-time computation to decompose hard tasks into smaller and simpler steps. CoT transforms big tasks into multiple manageable tasks and shed lights into an interpretation of the model’s thinking process.\\nTree of Thoughts (Yao et al. 2023) extends CoT by exploring multiple reasoning possibilities at each step. It first decomposes the problem into multiple thought steps and generates multiple thoughts per step, creating a tree structure. The search process can be BFS (breadth-first search) or DFS (depth-first search) with each state evaluated by a classifier (via a prompt) or majority vote.\\n\\nTask decomposition can be done (1) by LLM with simple prompting like \\\"Steps for XYZ.\\\\n1.\\\", \\\"What are the subgoals for achieving XYZ?\\\", (2) by using task-specific instructions; e.g. \\\"Write a story outline.\\\" for writing a novel, or (3) with human inputs.\\nAnother quite distinct approach, LLM+P (Liu et al. 2023), involves relying on an external classical planner to do long-horizon planning. This approach utilizes the Planning Domain Definition Language (PDDL) as an intermediate interface to describe the planning problem. In this process, LLM (1) translates the problem into “Problem PDDL”, then (2) requests a classical planner to generate a PDDL plan based on an existing “Domain PDDL”, and finally (3) translates the PDDL plan back into natural language. Essentially, the planning step is outsourced to an external tool, assuming the availability of domain-specific PDDL and a suitable planner which is common in certain robotic setups but not in many other domains.\\nSelf-Reflection#\\n\\nAgent System Overview\\n                \\n                    Component One: Planning\\n                        \\n                \\n                    Task Decomposition\\n                \\n                    Self-Reflection\\n                \\n                \\n                    Component Two: Memory\\n                        \\n                \\n                    Types of Memory\\n                \\n                    Maximum Inner Product Search (MIPS)\\n                \\n                \\n                    Component Three: Tool Use\\n                \\n                    Case Studies\\n                        \\n                \\n                    Scientific Discovery Agent\\n                \\n                    Generative Agents Simulation\\n                \\n                    Proof-of-Concept Examples\\n                \\n                \\n                    Challenges\\n                \\n                    Citation\\n                \\n                    References\\n\\nResources:\\n1. Internet access for searches and information gathering.\\n2. Long Term memory management.\\n3. GPT-3.5 powered Agents for delegation of simple tasks.\\n4. File output.\\n\\nPerformance Evaluation:\\n1. Continuously review and analyze your actions to ensure you are performing to the best of your abilities.\\n2. Constructively self-criticize your big-picture behavior constantly.\\n3. Reflect on past decisions and strategies to refine your approach.\\n4. Every command has a cost, so be smart and efficient. Aim to complete tasks in the least number of steps.\",\n",
+            "        \"name\": \"blog_post_retriever\",\n",
+            "        \"additional_kwargs\": {},\n",
+            "        \"response_metadata\": {},\n",
+            "        \"tool_call_id\": \"call_cWnDZq2aloVtMB4KjZlTxHmZ\"\n",
+            "      }\n",
+            "    ]\n",
+            "  }\n",
+            "}\n",
+            "----\n",
+            "{\n",
+            "  agent: {\n",
+            "    messages: [\n",
+            "      AIMessage {\n",
+            "        \"id\": \"chatcmpl-AB7yGASxz0Z0g2jiCxwx4gYHYJTi4\",\n",
+            "        \"content\": \"According to the blog post, there are several common methods of task decomposition:\\n\\n1. **Simple Prompting by LLMs**: This involves straightforward instructions to decompose a task. Examples include:\\n   - \\\"Steps for XYZ. 1.\\\"\\n   - \\\"What are the subgoals for achieving XYZ?\\\"\\n   - Task-specific instructions like \\\"Write a story outline\\\" for writing a novel.\\n\\n2. **Human Inputs**: Decomposition can be guided by human insights and instructions.\\n\\n3. **Chain of Thought (CoT)**: This technique prompts a model to think step-by-step, enabling it to break down complex tasks into smaller, more manageable tasks. CoT has become a standard method to enhance model performance on intricate tasks.\\n\\n4. **Tree of Thoughts (ToT)**: An extension of CoT, this approach decomposes the problem into multiple thought steps and generates several thoughts per step, forming a tree structure. The search process can be performed using Breadth-First Search (BFS) or Depth-First Search (DFS), with each state evaluated by a classifier or through a majority vote.\\n\\n5. **LLM+P (Large Language Model plus Planner)**: This method integrates LLMs with an external classical planner. It involves:\\n   - Translating the problem into “Problem PDDL” (Planning Domain Definition Language).\\n   - Using an external planner to generate a PDDL plan based on an existing “Domain PDDL”.\\n   - Translating the PDDL plan back into natural language.\\n  \\nBy utilizing these methods, tasks can be effectively decomposed into more manageable parts, allowing for more efficient problem-solving and planning.\",\n",
+            "        \"additional_kwargs\": {},\n",
+            "        \"response_metadata\": {\n",
+            "          \"tokenUsage\": {\n",
+            "            \"completionTokens\": 334,\n",
+            "            \"promptTokens\": 1746,\n",
+            "            \"totalTokens\": 2080\n",
+            "          },\n",
+            "          \"finish_reason\": \"stop\",\n",
+            "          \"system_fingerprint\": \"fp_52a7f40b0b\"\n",
+            "        },\n",
+            "        \"tool_calls\": [],\n",
+            "        \"invalid_tool_calls\": [],\n",
+            "        \"usage_metadata\": {\n",
+            "          \"input_tokens\": 1746,\n",
+            "          \"output_tokens\": 334,\n",
+            "          \"total_tokens\": 2080\n",
+            "        }\n",
+            "      }\n",
+            "    ]\n",
+            "  }\n",
+            "}\n",
+            "----\n"
+          ]
+        }
+      ],
+      "source": [
+        "const query3 = \"What according to the blog post are common ways of doing it? redo the search\"\n",
         "\n",
-        "const secondQuestion = \"What are common ways of doing it?\";\n",
-        "await ragChain.invoke({ question: secondQuestion, chat_history });"
+        "for await (const s of await agentExecutor2.stream({ messages: [{ role: \"user\", content: query3 }] }, config3)) {\n",
+        "  console.log(s)\n",
+        "  console.log(\"----\")\n",
+        "}"
       ]
     },
     {
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "See the first [LangSmith trace here](https://smith.langchain.com/public/527981c6-5018-4b68-a11a-ebcde77843e7/r) and the [second trace here](https://smith.langchain.com/public/7b97994a-ab9f-4bf3-a2e4-abb609e5610a/r)"
+        "Note that the agent was able to infer that \"it\" in our query refers to \"task decomposition\", and generated a reasonable search query as a result-- in this case, \"common ways of task decomposition\"."
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "### Tying it together\n",
+        "\n",
+        "For convenience, we tie together all of the necessary steps in a single code cell:"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 23,
+      "metadata": {},
+      "outputs": [],
+      "source": [
+        "import { createRetrieverTool } from \"langchain/tools/retriever\";\n",
+        "import { createReactAgent } from \"@langchain/langgraph/prebuilt\";\n",
+        "import { MemorySaver } from \"@langchain/langgraph\";\n",
+        "import { ChatOpenAI } from \"@langchain/openai\";\n",
+        "import { CheerioWebBaseLoader } from \"@langchain/community/document_loaders/web/cheerio\";\n",
+        "import { RecursiveCharacterTextSplitter } from \"langchain/text_splitter\";\n",
+        "import { MemoryVectorStore } from \"langchain/vectorstores/memory\"\n",
+        "import { OpenAIEmbeddings } from \"@langchain/openai\";\n",
+        "\n",
+        "const llm3 = new ChatOpenAI({ model: \"gpt-4o\" });\n",
+        "\n",
+        "const loader3 = new CheerioWebBaseLoader(\n",
+        "  \"https://lilianweng.github.io/posts/2023-06-23-agent/\"\n",
+        ");\n",
+        "\n",
+        "const docs3 = await loader3.load();\n",
+        "\n",
+        "const textSplitter3 = new RecursiveCharacterTextSplitter({ chunkSize: 1000, chunkOverlap: 200 });\n",
+        "const splits3 = await textSplitter3.splitDocuments(docs3);\n",
+        "const vectorStore3 = await MemoryVectorStore.fromDocuments(splits3, new OpenAIEmbeddings());\n",
+        "\n",
+        "// Retrieve and generate using the relevant snippets of the blog.\n",
+        "const retriever3 = vectorStore3.asRetriever();\n",
+        "\n",
+        "const tool2 = createRetrieverTool(\n",
+        "    retriever3,\n",
+        "    {\n",
+        "      name: \"blog_post_retriever\",\n",
+        "      description: \"Searches and returns excerpts from the Autonomous Agents blog post.\",\n",
+        "    }\n",
+        ")\n",
+        "const tools2 = [tool2]\n",
+        "const memory4 = new MemorySaver();\n",
+        "\n",
+        "const agentExecutor3 = createReactAgent({ llm: llm3, tools: tools2, checkpointSaver: memory4 })"
       ]
     },
     {
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "Here we've gone over how to add application logic for incorporating historical outputs, but we're still manually updating the chat history and inserting it into each input. In a real Q&A application we'll want some way of persisting chat history and some way of automatically inserting and updating it.\n",
+        "## Next steps\n",
+        "\n",
+        "We've covered the steps to build a basic conversational Q&A application:\n",
         "\n",
-        "For this we can use:\n",
+        "- We used chains to build a predictable application that generates search queries for each user input;\n",
+        "- We used agents to build an application that \"decides\" when and how to generate search queries.\n",
         "\n",
-        "- [BaseChatMessageHistory](https://api.js.langchain.com/classes/langchain_core.chat_history.BaseChatMessageHistory.html): Store chat history.\n",
-        "- [RunnableWithMessageHistory](/docs/how_to/message_history/): Wrapper for an LCEL chain and a `BaseChatMessageHistory` that handles injecting chat history into inputs and updating it after each invocation.\n",
+        "To explore different types of retrievers and retrieval strategies, visit the [retrievers](/docs/how_to#retrievers) section of the how-to guides.\n",
         "\n",
-        "For a detailed walkthrough of how to use these classes together to create a stateful conversational chain, head to the [How to add message history (memory)](/docs/how_to/message_history/) LCEL page."
+        "For a detailed walkthrough of LangChain's conversation memory abstractions, visit the [How to add message history (memory)](/docs/how_to/message_history) LCEL page.\n"
       ]
     }
   ],
   "metadata": {
     "kernelspec": {
-      "display_name": "Deno",
+      "display_name": "TypeScript",
       "language": "typescript",
-      "name": "deno"
+      "name": "tslab"
     },
     "language_info": {
+      "codemirror_mode": {
+        "mode": "typescript",
+        "name": "javascript",
+        "typescript": true
+      },
       "file_extension": ".ts",
-      "mimetype": "text/x.typescript",
+      "mimetype": "text/typescript",
       "name": "typescript",
-      "nb_converter": "script",
-      "pygments_lexer": "typescript",
-      "version": "5.3.3"
+      "version": "3.7.2"
     }
   },
   "nbformat": 4,
diff --git a/docs/core_docs/docs/tutorials/chatbot.ipynb b/docs/core_docs/docs/tutorials/chatbot.ipynb
index 829549e8c1c8..91490c7fa1d0 100644
--- a/docs/core_docs/docs/tutorials/chatbot.ipynb
+++ b/docs/core_docs/docs/tutorials/chatbot.ipynb
@@ -2,10 +2,15 @@
  "cells": [
   {
    "cell_type": "raw",
-   "metadata": {},
+   "metadata": {
+    "vscode": {
+     "languageId": "raw"
+    }
+   },
    "source": [
     "---\n",
     "sidebar_position: 1\n",
+    "keywords: [conversationchain]\n",
     "---"
    ]
   },
@@ -13,14 +18,8 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# Build a Chatbot"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Overview\n",
+    "# Build a Chatbot\n",
+    "\n",
     "\n",
     ":::info Prerequisites\n",
     "\n",
@@ -30,34 +29,57 @@
     "- [Prompt Templates](/docs/concepts/#prompt-templates)\n",
     "- [Chat History](/docs/concepts/#chat-history)\n",
     "\n",
+    "This guide requires `langgraph >= 0.2.28`.\n",
+    "\n",
+    ":::\n",
+    "\n",
+    "\n",
+    "```{=mdx}\n",
+    "\n",
+    ":::note\n",
+    "\n",
+    "This tutorial previously built a chatbot using [RunnableWithMessageHistory](https://api.js.langchain.com/classes/_langchain_core.runnables.RunnableWithMessageHistory.html). You can access this version of the tutorial in the [v0.2 docs](https://js.langchain.com/v0.2/docs/tutorials/chatbot/).\n",
+    "\n",
+    "The LangGraph implementation offers a number of advantages over `RunnableWithMessageHistory`, including the ability to persist arbitrary components of an application's state (instead of only messages).\n",
+    "\n",
     ":::\n",
     "\n",
+    "```\n",
+    "\n",
+    "## Overview\n",
+    "\n",
     "We'll go over an example of how to design and implement an LLM-powered chatbot. \n",
     "This chatbot will be able to have a conversation and remember previous interactions.\n",
     "\n",
+    "\n",
     "Note that this chatbot that we build will only use the language model to have a conversation.\n",
     "There are several other related concepts that you may be looking for:\n",
     "\n",
     "- [Conversational RAG](/docs/tutorials/qa_chat_history): Enable a chatbot experience over an external source of data\n",
-    "- [Agents](https://langchain-ai.github.io/langgraphjs/tutorials/quickstart/): Build a chatbot that can take actions\n",
+    "- [Agents](https://langchain-ai.github.io/langgraphjs/tutorials/multi_agent/agent_supervisor/): Build a chatbot that can take actions\n",
     "\n",
     "This tutorial will cover the basics which will be helpful for those two more advanced topics, but feel free to skip directly to there should you choose.\n",
     "\n",
     "## Setup\n",
     "\n",
+    "### Jupyter Notebook\n",
+    "\n",
+    "This guide (and most of the other guides in the documentation) uses [Jupyter notebooks](https://jupyter.org/) and assumes the reader is as well. Jupyter notebooks are perfect for learning how to work with LLM systems because oftentimes things can go wrong (unexpected output, API down, etc) and going through guides in an interactive environment is a great way to better understand them.\n",
+    "\n",
+    "This and other tutorials are perhaps most conveniently run in a Jupyter notebook. See [here](https://jupyter.org/install) for instructions on how to install.\n",
+    "\n",
     "### Installation\n",
     "\n",
-    "To install LangChain run:\n",
+    "For this tutorial we will need `@langchain/core` and `langgraph`:\n",
     "\n",
     "```{=mdx}\n",
     "import Npm2Yarn from \"@theme/Npm2Yarn\"\n",
     "\n",
     "<Npm2Yarn>\n",
-    "  langchain @langchain/core\n",
+    "  @langchain/core @langchain/langgraph uuid\n",
     "</Npm2Yarn>\n",
     "```\n",
     "\n",
-    "\n",
     "For more details, see our [Installation guide](/docs/how_to/installation).\n",
     "\n",
     "### LangSmith\n",
@@ -68,35 +90,25 @@
     "\n",
     "After you sign up at the link above, make sure to set your environment variables to start logging traces:\n",
     "\n",
-    "```shell\n",
-    "export LANGCHAIN_TRACING_V2=\"true\"\n",
-    "export LANGCHAIN_API_KEY=\"...\"\n",
-    "\n",
-    "# Reduce tracing latency if you are not in a serverless environment\n",
-    "# export LANGCHAIN_CALLBACKS_BACKGROUND=true\n",
+    "```typescript\n",
+    "process.env.LANGCHAIN_TRACING_V2 = \"true\"\n",
+    "process.env.LANGCHAIN_API_KEY = \"...\"\n",
     "```\n",
     "\n",
     "## Quickstart\n",
     "\n",
-    "First up, let's learn how to use a language model by itself. LangChain supports many different language models that you can use interchangably - select the one you want to use below!\n",
+    "First up, let's learn how to use a language model by itself. LangChain supports many different language models that you can use interchangeably - select the one you want to use below!\n",
     "\n",
     "```{=mdx}\n",
     "import ChatModelTabs from \"@theme/ChatModelTabs\";\n",
     "\n",
-    "<ChatModelTabs />\n",
-    "```"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Let's first use the model directly. `ChatModel`s are instances of LangChain \"Runnables\", which means they expose a standard interface for interacting with them. To just simply call the model, we can pass in a list of messages to the `.invoke` method."
+    "<ChatModelTabs customVarName=\"llm\" />\n",
+    "```\n"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 27,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -104,51 +116,51 @@
     "\n",
     "import { ChatOpenAI } from \"@langchain/openai\";\n",
     "\n",
-    "const model = new ChatOpenAI({\n",
-    "  model: \"gpt-4o-mini\",\n",
-    "  temperature: 0,\n",
-    "});"
+    "const llm = new ChatOpenAI({ model: \"gpt-4o-mini\" })"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Let's first use the model directly. `ChatModel`s are instances of LangChain \"Runnables\", which means they expose a standard interface for interacting with them. To just simply call the model, we can pass in a list of messages to the `.invoke` method."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 28,
    "metadata": {},
    "outputs": [
     {
-     "data": {
-      "text/plain": [
-       "AIMessage {\n",
-       "  \"id\": \"chatcmpl-A64of8iD4GIFNSYlOaFHxPdCeyl9E\",\n",
-       "  \"content\": \"Hi Bob! How can I assist you today?\",\n",
-       "  \"additional_kwargs\": {},\n",
-       "  \"response_metadata\": {\n",
-       "    \"tokenUsage\": {\n",
-       "      \"completionTokens\": 10,\n",
-       "      \"promptTokens\": 11,\n",
-       "      \"totalTokens\": 21\n",
-       "    },\n",
-       "    \"finish_reason\": \"stop\"\n",
-       "  },\n",
-       "  \"tool_calls\": [],\n",
-       "  \"invalid_tool_calls\": [],\n",
-       "  \"usage_metadata\": {\n",
-       "    \"input_tokens\": 11,\n",
-       "    \"output_tokens\": 10,\n",
-       "    \"total_tokens\": 21\n",
-       "  }\n",
-       "}"
-      ]
-     },
-     "execution_count": 2,
-     "metadata": {},
-     "output_type": "execute_result"
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "AIMessage {\n",
+      "  \"id\": \"chatcmpl-ABUXeSO4JQpxO96lj7iudUptJ6nfW\",\n",
+      "  \"content\": \"Hi Bob! How can I assist you today?\",\n",
+      "  \"additional_kwargs\": {},\n",
+      "  \"response_metadata\": {\n",
+      "    \"tokenUsage\": {\n",
+      "      \"completionTokens\": 10,\n",
+      "      \"promptTokens\": 10,\n",
+      "      \"totalTokens\": 20\n",
+      "    },\n",
+      "    \"finish_reason\": \"stop\",\n",
+      "    \"system_fingerprint\": \"fp_1bb46167f9\"\n",
+      "  },\n",
+      "  \"tool_calls\": [],\n",
+      "  \"invalid_tool_calls\": [],\n",
+      "  \"usage_metadata\": {\n",
+      "    \"input_tokens\": 10,\n",
+      "    \"output_tokens\": 10,\n",
+      "    \"total_tokens\": 20\n",
+      "  }\n",
+      "}\n"
+     ]
     }
    ],
    "source": [
-    "import { HumanMessage } from \"@langchain/core/messages\";\n",
-    "\n",
-    "await model.invoke([new HumanMessage({ content: \"Hi! I'm Bob\" })]);"
+    "await llm.invoke([{ role: \"user\", content: \"Hi im bob\" }])"
    ]
   },
   {
@@ -160,48 +172,46 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 29,
    "metadata": {},
    "outputs": [
     {
-     "data": {
-      "text/plain": [
-       "AIMessage {\n",
-       "  \"id\": \"chatcmpl-A64ogC7owxmPla3ggZERNCFZpVHSp\",\n",
-       "  \"content\": \"I'm sorry, but I don't have access to personal information about users unless it has been shared with me in the course of our conversation. If you'd like to tell me your name, feel free!\",\n",
-       "  \"additional_kwargs\": {},\n",
-       "  \"response_metadata\": {\n",
-       "    \"tokenUsage\": {\n",
-       "      \"completionTokens\": 39,\n",
-       "      \"promptTokens\": 11,\n",
-       "      \"totalTokens\": 50\n",
-       "    },\n",
-       "    \"finish_reason\": \"stop\"\n",
-       "  },\n",
-       "  \"tool_calls\": [],\n",
-       "  \"invalid_tool_calls\": [],\n",
-       "  \"usage_metadata\": {\n",
-       "    \"input_tokens\": 11,\n",
-       "    \"output_tokens\": 39,\n",
-       "    \"total_tokens\": 50\n",
-       "  }\n",
-       "}"
-      ]
-     },
-     "execution_count": 3,
-     "metadata": {},
-     "output_type": "execute_result"
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "AIMessage {\n",
+      "  \"id\": \"chatcmpl-ABUXe1Zih4gMe3XgotWL83xeWub2h\",\n",
+      "  \"content\": \"I'm sorry, but I don't have access to personal information about individuals unless it has been shared with me during our conversation. If you'd like to tell me your name, feel free to do so!\",\n",
+      "  \"additional_kwargs\": {},\n",
+      "  \"response_metadata\": {\n",
+      "    \"tokenUsage\": {\n",
+      "      \"completionTokens\": 39,\n",
+      "      \"promptTokens\": 10,\n",
+      "      \"totalTokens\": 49\n",
+      "    },\n",
+      "    \"finish_reason\": \"stop\",\n",
+      "    \"system_fingerprint\": \"fp_1bb46167f9\"\n",
+      "  },\n",
+      "  \"tool_calls\": [],\n",
+      "  \"invalid_tool_calls\": [],\n",
+      "  \"usage_metadata\": {\n",
+      "    \"input_tokens\": 10,\n",
+      "    \"output_tokens\": 39,\n",
+      "    \"total_tokens\": 49\n",
+      "  }\n",
+      "}\n"
+     ]
     }
    ],
    "source": [
-    "await model.invoke([new HumanMessage({ content: \"What's my name?\" })])"
+    "await llm.invoke([{ role: \"user\", content: \"Whats my name\" }])"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Let's take a look at the example [LangSmith trace](https://smith.langchain.com/public/e5a0ae1b-32b9-4beb-836d-38f40bfa6762/r)\n",
+    "Let's take a look at the example [LangSmith trace](https://smith.langchain.com/public/3b768e44-a319-453a-bd6e-30f9df75f16a/r)\n",
     "\n",
     "We can see that it doesn't take the previous conversation turn into context, and cannot answer the question.\n",
     "This makes for a terrible chatbot experience!\n",
@@ -211,49 +221,43 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 30,
    "metadata": {},
    "outputs": [
     {
-     "data": {
-      "text/plain": [
-       "AIMessage {\n",
-       "  \"id\": \"chatcmpl-A64ohhg3P4BuIiw8mUCLI3zYHNOvS\",\n",
-       "  \"content\": \"Your name is Bob! How can I help you today, Bob?\",\n",
-       "  \"additional_kwargs\": {},\n",
-       "  \"response_metadata\": {\n",
-       "    \"tokenUsage\": {\n",
-       "      \"completionTokens\": 14,\n",
-       "      \"promptTokens\": 33,\n",
-       "      \"totalTokens\": 47\n",
-       "    },\n",
-       "    \"finish_reason\": \"stop\"\n",
-       "  },\n",
-       "  \"tool_calls\": [],\n",
-       "  \"invalid_tool_calls\": [],\n",
-       "  \"usage_metadata\": {\n",
-       "    \"input_tokens\": 33,\n",
-       "    \"output_tokens\": 14,\n",
-       "    \"total_tokens\": 47\n",
-       "  }\n",
-       "}"
-      ]
-     },
-     "execution_count": 4,
-     "metadata": {},
-     "output_type": "execute_result"
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "AIMessage {\n",
+      "  \"id\": \"chatcmpl-ABUXfX4Fnp247rOxyPlBUYMQgahj2\",\n",
+      "  \"content\": \"Your name is Bob! How can I help you today?\",\n",
+      "  \"additional_kwargs\": {},\n",
+      "  \"response_metadata\": {\n",
+      "    \"tokenUsage\": {\n",
+      "      \"completionTokens\": 12,\n",
+      "      \"promptTokens\": 33,\n",
+      "      \"totalTokens\": 45\n",
+      "    },\n",
+      "    \"finish_reason\": \"stop\",\n",
+      "    \"system_fingerprint\": \"fp_1bb46167f9\"\n",
+      "  },\n",
+      "  \"tool_calls\": [],\n",
+      "  \"invalid_tool_calls\": [],\n",
+      "  \"usage_metadata\": {\n",
+      "    \"input_tokens\": 33,\n",
+      "    \"output_tokens\": 12,\n",
+      "    \"total_tokens\": 45\n",
+      "  }\n",
+      "}\n"
+     ]
     }
    ],
    "source": [
-    "import { AIMessage } from \"@langchain/core/messages\"\n",
-    "\n",
-    "await model.invoke(\n",
-    "  [\n",
-    "    new HumanMessage({ content: \"Hi! I'm Bob\" }),\n",
-    "    new AIMessage({ content: \"Hello Bob! How can I assist you today?\" }),\n",
-    "    new HumanMessage({ content: \"What's my name?\" }),\n",
-    "  ]\n",
-    ");"
+    "await llm.invoke([\n",
+    "  { role: \"user\", content: \"Hi! I'm Bob\" },\n",
+    "  { role: \"assistant\", content: \"Hello Bob! How can I assist you today?\" },\n",
+    "  { role: \"user\", content: \"What's my name?\" }\n",
+    "]);"
    ]
   },
   {
@@ -270,153 +274,208 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Message History\n",
+    "## Message persistence\n",
+    "\n",
+    "[LangGraph](https://langchain-ai.github.io/langgraphjs/) implements a built-in persistence layer, making it ideal for chat applications that support multiple conversational turns.\n",
+    "\n",
+    "Wrapping our chat model in a minimal LangGraph application allows us to automatically persist the message history, simplifying the development of multi-turn applications.\n",
     "\n",
-    "We can use a Message History class to wrap our model and make it stateful.\n",
-    "This will keep track of inputs and outputs of the model, and store them in some datastore.\n",
-    "Future interactions will then load those messages and pass them into the chain as part of the input.\n",
-    "Let's see how to use this!"
+    "LangGraph comes with a simple in-memory checkpointer, which we use below."
    ]
   },
   {
-   "cell_type": "markdown",
+   "cell_type": "code",
+   "execution_count": 31,
    "metadata": {},
+   "outputs": [],
    "source": [
-    "We import the relevant classes and set up our chain which wraps the model and adds in this message history. A key part here is the function we pass into as the `getSessionHistory()`. This function is expected to take in a `sessionId` and return a Message History object. This `sessionId` is used to distinguish between separate conversations, and should be passed in as part of the config when calling the new chain.\n",
+    "import { START, END, MessagesAnnotation, StateGraph, MemorySaver } from \"@langchain/langgraph\";\n",
     "\n",
-    "Let's also create a simple chain by adding a prompt to help with formatting:"
+    "// Define the function that calls the model\n",
+    "const callModel = async (state: typeof MessagesAnnotation.State) => {\n",
+    "  const response = await llm.invoke(state.messages);\n",
+    "  return { messages: response };\n",
+    "};\n",
+    "\n",
+    "// Define a new graph\n",
+    "const workflow = new StateGraph(MessagesAnnotation)\n",
+    "  // Define the node and edge\n",
+    "  .addNode(\"model\", callModel)\n",
+    "  .addEdge(START, \"model\")\n",
+    "  .addEdge(\"model\", END);\n",
+    "\n",
+    "// Add memory\n",
+    "const memory = new MemorySaver();\n",
+    "const app = workflow.compile({ checkpointer: memory });"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We now need to create a `config` that we pass into the runnable every time. This config contains information that is not part of the input directly, but is still useful. In this case, we want to include a `thread_id`. This should look like:"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 32,
    "metadata": {},
    "outputs": [],
    "source": [
-    "// We use an ephemeral, in-memory chat history for this demo.\n",
-    "import { InMemoryChatMessageHistory } from \"@langchain/core/chat_history\";\n",
-    "import { ChatPromptTemplate } from \"@langchain/core/prompts\";\n",
-    "import { RunnableWithMessageHistory } from \"@langchain/core/runnables\";\n",
+    "import { v4 as uuidv4 } from \"uuid\";\n",
     "\n",
-    "const messageHistories: Record<string, InMemoryChatMessageHistory> = {};\n",
-    "\n",
-    "const prompt = ChatPromptTemplate.fromMessages([\n",
-    "  [\"system\", `You are a helpful assistant who remembers all details the user shares with you.`],\n",
-    "  [\"placeholder\", \"{chat_history}\"],\n",
-    "  [\"human\", \"{input}\"],\n",
-    "]);\n",
-    "\n",
-    "const chain = prompt.pipe(model);\n",
-    "\n",
-    "const withMessageHistory = new RunnableWithMessageHistory({\n",
-    "  runnable: chain,\n",
-    "  getMessageHistory: async (sessionId) => {\n",
-    "    if (messageHistories[sessionId] === undefined) {\n",
-    "      messageHistories[sessionId] = new InMemoryChatMessageHistory();\n",
-    "    }\n",
-    "    return messageHistories[sessionId];\n",
-    "  },\n",
-    "  inputMessagesKey: \"input\",\n",
-    "  historyMessagesKey: \"chat_history\",\n",
-    "});"
+    "const config = { configurable: { thread_id: uuidv4() } };"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "We now need to create a `config` that we pass into the runnable every time. This config contains information that is not part of the input directly, but is still useful. In this case, we want to include a `sessionId`. This should look like:"
+    "This enables us to support multiple conversation threads with a single application, a common requirement when your application has multiple users.\n",
+    "\n",
+    "We can then invoke the application:"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 33,
    "metadata": {},
    "outputs": [
     {
-     "data": {
-      "text/plain": [
-       "\u001b[32m\"Hi Bob! How can I assist you today?\"\u001b[39m"
-      ]
-     },
-     "execution_count": 6,
-     "metadata": {},
-     "output_type": "execute_result"
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "AIMessage {\n",
+      "  \"id\": \"chatcmpl-ABUXfjqCno78CGXCHoAgamqXG1pnZ\",\n",
+      "  \"content\": \"Hi Bob! How can I assist you today?\",\n",
+      "  \"additional_kwargs\": {},\n",
+      "  \"response_metadata\": {\n",
+      "    \"tokenUsage\": {\n",
+      "      \"completionTokens\": 10,\n",
+      "      \"promptTokens\": 12,\n",
+      "      \"totalTokens\": 22\n",
+      "    },\n",
+      "    \"finish_reason\": \"stop\",\n",
+      "    \"system_fingerprint\": \"fp_1bb46167f9\"\n",
+      "  },\n",
+      "  \"tool_calls\": [],\n",
+      "  \"invalid_tool_calls\": [],\n",
+      "  \"usage_metadata\": {\n",
+      "    \"input_tokens\": 12,\n",
+      "    \"output_tokens\": 10,\n",
+      "    \"total_tokens\": 22\n",
+      "  }\n",
+      "}\n"
+     ]
     }
    ],
    "source": [
-    "const config = {\n",
-    "  configurable: {\n",
-    "    sessionId: \"abc2\"\n",
+    "const input = [\n",
+    "  {\n",
+    "    role: \"user\",\n",
+    "    content: \"Hi! I'm Bob.\",\n",
     "  }\n",
-    "};\n",
-    "\n",
-    "const response = await withMessageHistory.invoke({\n",
-    "  input: \"Hi! I'm Bob\",\n",
-    "}, config);\n",
-    "\n",
-    "response.content;"
+    "]\n",
+    "const output = await app.invoke({ messages: input }, config)\n",
+    "// The output contains all messages in the state.\n",
+    "// This will long the last message in the conversation.\n",
+    "console.log(output.messages[output.messages.length - 1]);"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 34,
    "metadata": {},
    "outputs": [
     {
-     "data": {
-      "text/plain": [
-       "\u001b[32m\"Your name is Bob. How can I help you today?\"\u001b[39m"
-      ]
-     },
-     "execution_count": 7,
-     "metadata": {},
-     "output_type": "execute_result"
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "AIMessage {\n",
+      "  \"id\": \"chatcmpl-ABUXgzHFHk4KsaNmDJyvflHq4JY2L\",\n",
+      "  \"content\": \"Your name is Bob! How can I help you today, Bob?\",\n",
+      "  \"additional_kwargs\": {},\n",
+      "  \"response_metadata\": {\n",
+      "    \"tokenUsage\": {\n",
+      "      \"completionTokens\": 14,\n",
+      "      \"promptTokens\": 34,\n",
+      "      \"totalTokens\": 48\n",
+      "    },\n",
+      "    \"finish_reason\": \"stop\",\n",
+      "    \"system_fingerprint\": \"fp_1bb46167f9\"\n",
+      "  },\n",
+      "  \"tool_calls\": [],\n",
+      "  \"invalid_tool_calls\": [],\n",
+      "  \"usage_metadata\": {\n",
+      "    \"input_tokens\": 34,\n",
+      "    \"output_tokens\": 14,\n",
+      "    \"total_tokens\": 48\n",
+      "  }\n",
+      "}\n"
+     ]
     }
    ],
    "source": [
-    "const followupResponse = await withMessageHistory.invoke({\n",
-    "  input: \"What's my name?\",\n",
-    "}, config);\n",
-    "\n",
-    "followupResponse.content"
+    "const input2 = [\n",
+    "  {\n",
+    "    role: \"user\",\n",
+    "    content: \"What's my name?\",\n",
+    "  }\n",
+    "]\n",
+    "const output2 = await app.invoke({ messages: input2 }, config)\n",
+    "console.log(output2.messages[output2.messages.length - 1]);"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Great! Our chatbot now remembers things about us. If we change the config to reference a different `sessionId`, we can see that it starts the conversation fresh."
+    "Great! Our chatbot now remembers things about us. If we change the config to reference a different `thread_id`, we can see that it starts the conversation fresh."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 35,
    "metadata": {},
    "outputs": [
     {
-     "data": {
-      "text/plain": [
-       "\u001b[32m\"I'm sorry, but I don't have your name. If you tell me, I'll remember it for our future conversations\"\u001b[39m... 1 more character"
-      ]
-     },
-     "execution_count": 8,
-     "metadata": {},
-     "output_type": "execute_result"
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "AIMessage {\n",
+      "  \"id\": \"chatcmpl-ABUXhT4EVx8mGgmKXJ1s132qEluxR\",\n",
+      "  \"content\": \"I'm sorry, but I don’t have access to personal data about individuals unless it has been shared in the course of our conversation. Therefore, I don't know your name. How can I assist you today?\",\n",
+      "  \"additional_kwargs\": {},\n",
+      "  \"response_metadata\": {\n",
+      "    \"tokenUsage\": {\n",
+      "      \"completionTokens\": 41,\n",
+      "      \"promptTokens\": 11,\n",
+      "      \"totalTokens\": 52\n",
+      "    },\n",
+      "    \"finish_reason\": \"stop\",\n",
+      "    \"system_fingerprint\": \"fp_1bb46167f9\"\n",
+      "  },\n",
+      "  \"tool_calls\": [],\n",
+      "  \"invalid_tool_calls\": [],\n",
+      "  \"usage_metadata\": {\n",
+      "    \"input_tokens\": 11,\n",
+      "    \"output_tokens\": 41,\n",
+      "    \"total_tokens\": 52\n",
+      "  }\n",
+      "}\n"
+     ]
     }
    ],
    "source": [
-    "const config2 = {\n",
-    "  configurable: {\n",
-    "    sessionId: \"abc3\"\n",
+    "const config2 = { configurable: { thread_id: uuidv4() } }\n",
+    "const input3 = [\n",
+    "  {\n",
+    "    role: \"user\",\n",
+    "    content: \"What's my name?\",\n",
     "  }\n",
-    "};\n",
-    "\n",
-    "const response2 = await withMessageHistory.invoke({\n",
-    "  input: \"What's my name?\",\n",
-    "}, config2);\n",
-    "\n",
-    "response2.content"
+    "]\n",
+    "const output3 = await app.invoke({ messages: input3 }, config2)\n",
+    "console.log(output3.messages[output3.messages.length - 1]);"
    ]
   },
   {
@@ -428,338 +487,623 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 36,
    "metadata": {},
    "outputs": [
     {
-     "data": {
-      "text/plain": [
-       "\u001b[32m\"Your name is Bob. What would you like to talk about?\"\u001b[39m"
-      ]
-     },
-     "execution_count": 9,
-     "metadata": {},
-     "output_type": "execute_result"
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "AIMessage {\n",
+      "  \"id\": \"chatcmpl-ABUXhZmtzvV3kqKig47xxhKEnvVfH\",\n",
+      "  \"content\": \"Your name is Bob! If there's anything else you'd like to talk about or ask, feel free!\",\n",
+      "  \"additional_kwargs\": {},\n",
+      "  \"response_metadata\": {\n",
+      "    \"tokenUsage\": {\n",
+      "      \"completionTokens\": 20,\n",
+      "      \"promptTokens\": 60,\n",
+      "      \"totalTokens\": 80\n",
+      "    },\n",
+      "    \"finish_reason\": \"stop\",\n",
+      "    \"system_fingerprint\": \"fp_1bb46167f9\"\n",
+      "  },\n",
+      "  \"tool_calls\": [],\n",
+      "  \"invalid_tool_calls\": [],\n",
+      "  \"usage_metadata\": {\n",
+      "    \"input_tokens\": 60,\n",
+      "    \"output_tokens\": 20,\n",
+      "    \"total_tokens\": 80\n",
+      "  }\n",
+      "}\n"
+     ]
     }
    ],
    "source": [
-    "const config3 = {\n",
-    "  configurable: {\n",
-    "    sessionId: \"abc2\"\n",
-    "  }\n",
-    "};\n",
+    "const output4 = await app.invoke({ messages: input2 }, config)\n",
+    "console.log(output4.messages[output4.messages.length - 1]);"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "This is how we can support a chatbot having conversations with many users!\n",
+    "\n",
+    "Right now, all we've done is add a simple persistence layer around the model. We can start to make the more complicated and personalized by adding in a prompt template.\n",
     "\n",
-    "const response3 = await withMessageHistory.invoke({\n",
-    "  input: \"What's my name?\",\n",
-    "}, config3);\n",
+    "## Prompt templates\n",
     "\n",
-    "response3.content"
+    "Prompt Templates help to turn raw user information into a format that the LLM can work with. In this case, the raw user input is just a message, which we are passing to the LLM. Let's now make that a bit more complicated. First, let's add in a system message with some custom instructions (but still taking messages as input). Next, we'll add in more input besides just the messages.\n",
+    "\n",
+    "To add in a system message, we will create a `ChatPromptTemplate`. We will utilize `MessagesPlaceholder` to pass all the messages in."
    ]
   },
   {
-   "cell_type": "markdown",
+   "cell_type": "code",
+   "execution_count": 37,
    "metadata": {},
+   "outputs": [],
    "source": [
-    "This is how we can support a chatbot having conversations with many users!"
+    "import { ChatPromptTemplate, MessagesPlaceholder } from \"@langchain/core/prompts\";\n",
+    "\n",
+    "const prompt = ChatPromptTemplate.fromMessages([\n",
+    "  [\"system\", \"You talk like a pirate. Answer all questions to the best of your ability.\"],\n",
+    "  new MessagesPlaceholder(\"messages\"),\n",
+    "]);"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Managing Conversation History\n",
-    "\n",
-    "One important concept to understand when building chatbots is how to manage conversation history. If left unmanaged, the list of messages will grow unbounded and potentially overflow the context window of the LLM. Therefore, it is important to add a step that limits the size of the messages you are passing in.\n",
-    "\n",
-    "**Importantly, you will want to do this BEFORE the prompt template but AFTER you load previous messages from Message History.**\n",
-    "\n",
-    "We can do this by adding a simple step in front of the prompt that modifies the `chat_history` key appropriately, and then wrap that new chain in the Message History class. First, let's define a function that will modify the messages passed in. Let's make it so that it selects the 10 most recent messages. We can then create a new chain by adding that at the start."
+    "We can now update our application to incorporate this template:"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 38,
    "metadata": {},
    "outputs": [],
    "source": [
-    "import type { BaseMessage } from \"@langchain/core/messages\";\n",
-    "import { RunnablePassthrough, RunnableSequence } from \"@langchain/core/runnables\";\n",
-    "\n",
-    "type ChainInput = {\n",
-    "  chat_history: BaseMessage[];\n",
-    "  input: string;\n",
-    "}\n",
+    "import { START, END, MessagesAnnotation, StateGraph, MemorySaver } from \"@langchain/langgraph\";\n",
+    "\n",
+    "// Define the function that calls the model\n",
+    "const callModel2 = async (state: typeof MessagesAnnotation.State) => {\n",
+    "  // highlight-start\n",
+    "  const chain = prompt.pipe(llm);\n",
+    "  const response = await chain.invoke(state);\n",
+    "  // highlight-end\n",
+    "  // Update message history with response:\n",
+    "  return { messages: [response] };\n",
+    "};\n",
     "\n",
-    "const filterMessages = (input: ChainInput) => input.chat_history.slice(-10);\n",
+    "// Define a new graph\n",
+    "const workflow2 = new StateGraph(MessagesAnnotation)\n",
+    "  // Define the (single) node in the graph\n",
+    "  .addNode(\"model\", callModel2)\n",
+    "  .addEdge(START, \"model\")\n",
+    "  .addEdge(\"model\", END);\n",
     "\n",
-    "const chain2 = RunnableSequence.from<ChainInput>([\n",
-    "  RunnablePassthrough.assign({\n",
-    "    chat_history: filterMessages\n",
-    "  }),\n",
-    "  prompt,\n",
-    "  model,\n",
-    "]);"
+    "// Add memory\n",
+    "const app2 = workflow2.compile({ checkpointer: new MemorySaver() });"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Let's now try it out! If we create a list of messages more than 10 messages long, we can see what it no longer remembers information in the early messages."
+    "We invoke the application in the same way:"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 39,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "AIMessage {\n",
+      "  \"id\": \"chatcmpl-ABUXio2Vy1YNRDiFdKKEyN3Yw1B9I\",\n",
+      "  \"content\": \"Ahoy, Jim! What brings ye to these treacherous waters today? Speak up, matey!\",\n",
+      "  \"additional_kwargs\": {},\n",
+      "  \"response_metadata\": {\n",
+      "    \"tokenUsage\": {\n",
+      "      \"completionTokens\": 22,\n",
+      "      \"promptTokens\": 32,\n",
+      "      \"totalTokens\": 54\n",
+      "    },\n",
+      "    \"finish_reason\": \"stop\",\n",
+      "    \"system_fingerprint\": \"fp_1bb46167f9\"\n",
+      "  },\n",
+      "  \"tool_calls\": [],\n",
+      "  \"invalid_tool_calls\": [],\n",
+      "  \"usage_metadata\": {\n",
+      "    \"input_tokens\": 32,\n",
+      "    \"output_tokens\": 22,\n",
+      "    \"total_tokens\": 54\n",
+      "  }\n",
+      "}\n"
+     ]
+    }
+   ],
    "source": [
-    "const messages = [\n",
-    "  new HumanMessage({ content: \"hi! I'm bob\" }),\n",
-    "  new AIMessage({ content: \"hi!\" }),\n",
-    "  new HumanMessage({ content: \"I like vanilla ice cream\" }),\n",
-    "  new AIMessage({ content: \"nice\" }),\n",
-    "  new HumanMessage({ content: \"whats 2 + 2\" }),\n",
-    "  new AIMessage({ content: \"4\" }),\n",
-    "  new HumanMessage({ content: \"thanks\" }),\n",
-    "  new AIMessage({ content: \"No problem!\" }),\n",
-    "  new HumanMessage({ content: \"having fun?\" }),\n",
-    "  new AIMessage({ content: \"yes!\" }),\n",
-    "  new HumanMessage({ content: \"That's great!\" }),\n",
-    "  new AIMessage({ content: \"yes it is!\" }),\n",
-    "];"
+    "const config3 = { configurable: { thread_id: uuidv4() } }\n",
+    "const input4 = [\n",
+    "  {\n",
+    "    role: \"user\",\n",
+    "    content: \"Hi! I'm Jim.\",\n",
+    "  }\n",
+    "]\n",
+    "const output5 = await app2.invoke({ messages: input4 }, config3)\n",
+    "console.log(output5.messages[output5.messages.length - 1]);"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 40,
    "metadata": {},
    "outputs": [
     {
-     "data": {
-      "text/plain": [
-       "\u001b[32m\"You haven't shared your name with me yet. What is it?\"\u001b[39m"
-      ]
-     },
-     "execution_count": 12,
-     "metadata": {},
-     "output_type": "execute_result"
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "AIMessage {\n",
+      "  \"id\": \"chatcmpl-ABUXjZNHiT5g7eTf52auWGXDUUcDs\",\n",
+      "  \"content\": \"Ye be callin' yerself Jim, if me memory serves me right! Arrr, what else can I do fer ye, matey?\",\n",
+      "  \"additional_kwargs\": {},\n",
+      "  \"response_metadata\": {\n",
+      "    \"tokenUsage\": {\n",
+      "      \"completionTokens\": 31,\n",
+      "      \"promptTokens\": 67,\n",
+      "      \"totalTokens\": 98\n",
+      "    },\n",
+      "    \"finish_reason\": \"stop\",\n",
+      "    \"system_fingerprint\": \"fp_3a215618e8\"\n",
+      "  },\n",
+      "  \"tool_calls\": [],\n",
+      "  \"invalid_tool_calls\": [],\n",
+      "  \"usage_metadata\": {\n",
+      "    \"input_tokens\": 67,\n",
+      "    \"output_tokens\": 31,\n",
+      "    \"total_tokens\": 98\n",
+      "  }\n",
+      "}\n"
+     ]
     }
    ],
    "source": [
-    "const response4 = await chain2.invoke(\n",
+    "const input5 = [\n",
     "  {\n",
-    "    chat_history: messages,\n",
-    "    input: \"what's my name?\"\n",
+    "    role: \"user\",\n",
+    "    content:  \"What is my name?\"\n",
     "  }\n",
-    ")\n",
-    "response4.content"
+    "]\n",
+    "const output6 = await app2.invoke({ messages: input5 }, config3)\n",
+    "console.log(output6.messages[output6.messages.length - 1]);"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Awesome! Let's now make our prompt a little bit more complicated. Let's assume that the prompt template now looks something like this:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 41,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "const prompt2 = ChatPromptTemplate.fromMessages([\n",
+    "  [\"system\", \"You are a helpful assistant. Answer all questions to the best of your ability in {language}.\"],\n",
+    "  new MessagesPlaceholder(\"messages\"),\n",
+    "]);"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "But if we ask about information that is within the last ten messages, it still remembers it"
+    "Note that we have added a new `language` input to the prompt. Our application now has two parameters-- the input `messages` and `language`. We should update our application's state to reflect this:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 42,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import { START, END, StateGraph, MemorySaver, MessagesAnnotation, Annotation } from \"@langchain/langgraph\";\n",
+    "\n",
+    "// Define the State\n",
+    "const GraphAnnotation = Annotation.Root({\n",
+    "  ...MessagesAnnotation.spec,\n",
+    "  language: Annotation<string>(),\n",
+    "});\n",
+    "\n",
+    "// Define the function that calls the model\n",
+    "const callModel3 = async (state: typeof GraphAnnotation.State) => {\n",
+    "  const chain = prompt2.pipe(llm);\n",
+    "  const response = await chain.invoke(state);\n",
+    "  return { messages: [response] };\n",
+    "};\n",
+    "\n",
+    "const workflow3 = new StateGraph(GraphAnnotation)\n",
+    "  .addNode(\"model\", callModel3)\n",
+    "  .addEdge(START, \"model\")\n",
+    "  .addEdge(\"model\", END);\n",
+    "\n",
+    "const app3 = workflow3.compile({ checkpointer: new MemorySaver() });"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 43,
    "metadata": {},
    "outputs": [
     {
-     "data": {
-      "text/plain": [
-       "\u001b[32m\"Your favorite ice cream is vanilla!\"\u001b[39m"
-      ]
-     },
-     "execution_count": 13,
-     "metadata": {},
-     "output_type": "execute_result"
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "AIMessage {\n",
+      "  \"id\": \"chatcmpl-ABUXkq2ZV9xmOBSM2iJbYSn8Epvqa\",\n",
+      "  \"content\": \"¡Hola, Bob! ¿En qué puedo ayudarte hoy?\",\n",
+      "  \"additional_kwargs\": {},\n",
+      "  \"response_metadata\": {\n",
+      "    \"tokenUsage\": {\n",
+      "      \"completionTokens\": 12,\n",
+      "      \"promptTokens\": 32,\n",
+      "      \"totalTokens\": 44\n",
+      "    },\n",
+      "    \"finish_reason\": \"stop\",\n",
+      "    \"system_fingerprint\": \"fp_1bb46167f9\"\n",
+      "  },\n",
+      "  \"tool_calls\": [],\n",
+      "  \"invalid_tool_calls\": [],\n",
+      "  \"usage_metadata\": {\n",
+      "    \"input_tokens\": 32,\n",
+      "    \"output_tokens\": 12,\n",
+      "    \"total_tokens\": 44\n",
+      "  }\n",
+      "}\n"
+     ]
     }
    ],
    "source": [
-    "const response5 = await chain2.invoke(\n",
-    "  {\n",
-    "    chat_history: messages,\n",
-    "    input: \"what's my fav ice cream\"\n",
-    "  }\n",
-    ")\n",
-    "response5.content"
+    "const config4 = { configurable: { thread_id: uuidv4() } }\n",
+    "const input6 = {\n",
+    "  messages: [\n",
+    "    {\n",
+    "      role: \"user\",\n",
+    "      content:  \"Hi im bob\"\n",
+    "    }\n",
+    "  ],\n",
+    "  language: \"Spanish\"\n",
+    "}\n",
+    "const output7 = await app3.invoke(input6, config4)\n",
+    "console.log(output7.messages[output7.messages.length - 1]);"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Let's now wrap this chain in a `RunnableWithMessageHistory` constructor. For demo purposes, we will also slightly modify our `getMessageHistory()` method to always start new sessions with the previously declared list of 10 messages to simulate several conversation turns:"
+    "Note that the entire state is persisted, so we can omit parameters like `language` if no changes are desired:"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 44,
    "metadata": {},
    "outputs": [
     {
-     "data": {
-      "text/plain": [
-       "\u001b[32m\"You haven't shared your name with me yet. What is it?\"\u001b[39m"
-      ]
-     },
-     "execution_count": 14,
-     "metadata": {},
-     "output_type": "execute_result"
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "AIMessage {\n",
+      "  \"id\": \"chatcmpl-ABUXk9Ccr1dhmA9lZ1VmZ998PFyJF\",\n",
+      "  \"content\": \"Tu nombre es Bob. ¿Hay algo más en lo que te pueda ayudar?\",\n",
+      "  \"additional_kwargs\": {},\n",
+      "  \"response_metadata\": {\n",
+      "    \"tokenUsage\": {\n",
+      "      \"completionTokens\": 16,\n",
+      "      \"promptTokens\": 57,\n",
+      "      \"totalTokens\": 73\n",
+      "    },\n",
+      "    \"finish_reason\": \"stop\",\n",
+      "    \"system_fingerprint\": \"fp_1bb46167f9\"\n",
+      "  },\n",
+      "  \"tool_calls\": [],\n",
+      "  \"invalid_tool_calls\": [],\n",
+      "  \"usage_metadata\": {\n",
+      "    \"input_tokens\": 57,\n",
+      "    \"output_tokens\": 16,\n",
+      "    \"total_tokens\": 73\n",
+      "  }\n",
+      "}\n"
+     ]
     }
    ],
    "source": [
-    "const messageHistories2: Record<string, InMemoryChatMessageHistory> = {};\n",
-    "\n",
-    "const withMessageHistory2 = new RunnableWithMessageHistory({\n",
-    "  runnable: chain2,\n",
-    "  getMessageHistory: async (sessionId) => {\n",
-    "    if (messageHistories2[sessionId] === undefined) {\n",
-    "      const messageHistory = new InMemoryChatMessageHistory();\n",
-    "      await messageHistory.addMessages(messages);\n",
-    "      messageHistories2[sessionId] = messageHistory;\n",
+    "const input7 = {\n",
+    "  messages: [\n",
+    "    {\n",
+    "      role: \"user\",\n",
+    "      content:  \"What is my name?\"\n",
     "    }\n",
-    "    return messageHistories2[sessionId];\n",
-    "  },\n",
-    "  inputMessagesKey: \"input\",\n",
-    "  historyMessagesKey: \"chat_history\",\n",
-    "})\n",
-    "\n",
-    "const config4 = {\n",
-    "  configurable: {\n",
-    "    sessionId: \"abc4\"\n",
-    "  }\n",
-    "};\n",
-    "\n",
-    "const response7 = await withMessageHistory2.invoke(\n",
-    "  {\n",
-    "    input: \"whats my name?\",\n",
-    "    chat_history: [],\n",
-    "  },\n",
-    "  config4,\n",
-    ")\n",
-    "\n",
-    "response7.content"
+    "  ],\n",
+    "}\n",
+    "const output8 = await app3.invoke(input7, config4)\n",
+    "console.log(output8.messages[output8.messages.length - 1]);"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "To help you understand what's happening internally, check out [this LangSmith trace](https://smith.langchain.com/public/d61630b7-6a52-4dc9-974c-8452008c498a/r)."
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "There's now two new messages in the chat history. This means that even more information that used to be accessible in our conversation history is no longer available!"
+    "## Managing Conversation History\n",
+    "\n",
+    "One important concept to understand when building chatbots is how to manage conversation history. If left unmanaged, the list of messages will grow unbounded and potentially overflow the context window of the LLM. Therefore, it is important to add a step that limits the size of the messages you are passing in.\n",
+    "\n",
+    "**Importantly, you will want to do this BEFORE the prompt template but AFTER you load previous messages from Message History.**\n",
+    "\n",
+    "We can do this by adding a simple step in front of the prompt that modifies the `messages` key appropriately, and then wrap that new chain in the Message History class. \n",
+    "\n",
+    "LangChain comes with a few built-in helpers for [managing a list of messages](/docs/how_to/#messages). In this case we'll use the [trimMessages](/docs/how_to/trim_messages/) helper to reduce how many messages we're sending to the model. The trimmer allows us to specify how many tokens we want to keep, along with other parameters like if we want to always keep the system message and whether to allow partial messages:"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 54,
    "metadata": {},
    "outputs": [
     {
-     "data": {
-      "text/plain": [
-       "\u001b[32m\"You haven't mentioned your favorite ice cream yet. What is it?\"\u001b[39m"
-      ]
-     },
-     "execution_count": 15,
-     "metadata": {},
-     "output_type": "execute_result"
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[\n",
+      "  SystemMessage {\n",
+      "    \"content\": \"you're a good assistant\",\n",
+      "    \"additional_kwargs\": {},\n",
+      "    \"response_metadata\": {}\n",
+      "  },\n",
+      "  HumanMessage {\n",
+      "    \"content\": \"I like vanilla ice cream\",\n",
+      "    \"additional_kwargs\": {},\n",
+      "    \"response_metadata\": {}\n",
+      "  },\n",
+      "  AIMessage {\n",
+      "    \"content\": \"nice\",\n",
+      "    \"additional_kwargs\": {},\n",
+      "    \"response_metadata\": {},\n",
+      "    \"tool_calls\": [],\n",
+      "    \"invalid_tool_calls\": []\n",
+      "  },\n",
+      "  HumanMessage {\n",
+      "    \"content\": \"whats 2 + 2\",\n",
+      "    \"additional_kwargs\": {},\n",
+      "    \"response_metadata\": {}\n",
+      "  },\n",
+      "  AIMessage {\n",
+      "    \"content\": \"4\",\n",
+      "    \"additional_kwargs\": {},\n",
+      "    \"response_metadata\": {},\n",
+      "    \"tool_calls\": [],\n",
+      "    \"invalid_tool_calls\": []\n",
+      "  },\n",
+      "  HumanMessage {\n",
+      "    \"content\": \"thanks\",\n",
+      "    \"additional_kwargs\": {},\n",
+      "    \"response_metadata\": {}\n",
+      "  },\n",
+      "  AIMessage {\n",
+      "    \"content\": \"no problem!\",\n",
+      "    \"additional_kwargs\": {},\n",
+      "    \"response_metadata\": {},\n",
+      "    \"tool_calls\": [],\n",
+      "    \"invalid_tool_calls\": []\n",
+      "  },\n",
+      "  HumanMessage {\n",
+      "    \"content\": \"having fun?\",\n",
+      "    \"additional_kwargs\": {},\n",
+      "    \"response_metadata\": {}\n",
+      "  },\n",
+      "  AIMessage {\n",
+      "    \"content\": \"yes!\",\n",
+      "    \"additional_kwargs\": {},\n",
+      "    \"response_metadata\": {},\n",
+      "    \"tool_calls\": [],\n",
+      "    \"invalid_tool_calls\": []\n",
+      "  }\n",
+      "]\n"
+     ]
     }
    ],
    "source": [
-    "const response8 = await withMessageHistory2.invoke({\n",
-    "  input: \"whats my favorite ice cream?\",\n",
-    "  chat_history: [],\n",
-    "}, config4);\n",
+    "import { SystemMessage, HumanMessage, AIMessage, trimMessages } from \"@langchain/core/messages\"\n",
+    "\n",
+    "const trimmer = trimMessages({\n",
+    "  maxTokens: 10,\n",
+    "  strategy: \"last\",\n",
+    "  tokenCounter: (msgs) => msgs.length,\n",
+    "  includeSystem: true,\n",
+    "  allowPartial: false,\n",
+    "  startOn: \"human\",\n",
+    "})\n",
     "\n",
-    "response8.content"
+    "const messages = [\n",
+    "    new SystemMessage(\"you're a good assistant\"),\n",
+    "    new HumanMessage(\"hi! I'm bob\"),\n",
+    "    new AIMessage(\"hi!\"),\n",
+    "    new HumanMessage(\"I like vanilla ice cream\"),\n",
+    "    new AIMessage(\"nice\"),\n",
+    "    new HumanMessage(\"whats 2 + 2\"),\n",
+    "    new AIMessage(\"4\"),\n",
+    "    new HumanMessage(\"thanks\"),\n",
+    "    new AIMessage(\"no problem!\"),\n",
+    "    new HumanMessage(\"having fun?\"),\n",
+    "    new AIMessage(\"yes!\"),\n",
+    "]\n",
+    "\n",
+    "await trimmer.invoke(messages)"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "If you take a look at LangSmith, you can see exactly what is happening under the hood in the [LangSmith trace](https://smith.langchain.com/public/ebc2e1e7-0703-43f7-a476-8cb8cbd7f61a/r). Navigate to the chat model call to see exactly which messages are getting filtered out."
+    "To  use it in our chain, we just need to run the trimmer before we pass the `messages` input to our prompt. "
    ]
   },
   {
-   "cell_type": "markdown",
+   "cell_type": "code",
+   "execution_count": 55,
    "metadata": {},
+   "outputs": [],
    "source": [
-    "## Streaming\n",
+    "const callModel4 = async (state: typeof GraphAnnotation.State) => {\n",
+    "  const chain = prompt2.pipe(llm);\n",
+    "  // highlight-start\n",
+    "  const trimmedMessage = await trimmer.invoke(state.messages);\n",
+    "  const response = await chain.invoke({ messages: trimmedMessage, language: state.language });\n",
+    "  // highlight-end\n",
+    "  return { messages: [response] };\n",
+    "};\n",
     "\n",
-    "Now we've got a functional chatbot. However, one *really* important UX consideration for chatbot application is streaming. LLMs can sometimes take a while to respond, and so in order to improve the user experience one thing that most application do is stream back each token as it is generated. This allows the user to see progress.\n",
     "\n",
-    "It's actually super easy to do this!\n",
+    "const workflow4 = new StateGraph(GraphAnnotation)\n",
+    "  .addNode(\"model\", callModel4)\n",
+    "  .addEdge(START, \"model\")\n",
+    "  .addEdge(\"model\", END);\n",
     "\n",
-    "All chains expose a `.stream()` method, and ones that use message history are no different. We can simply use that method to get back a streaming response."
+    "const app4 = workflow4.compile({ checkpointer: new MemorySaver() });"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Now if we try asking the model our name, it won't know it since we trimmed that part of the chat history:"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 56,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "| \n",
-      "| Hi\n",
-      "|  Todd\n",
-      "| !\n",
-      "|  Here\n",
-      "| ’s\n",
-      "|  a\n",
-      "|  joke\n",
-      "|  for\n",
-      "|  you\n",
-      "| :\n",
-      "|  \n",
-      "\n",
-      "\n",
-      "| Why\n",
-      "|  did\n",
-      "|  the\n",
-      "|  scare\n",
-      "| crow\n",
-      "|  win\n",
-      "|  an\n",
-      "|  award\n",
-      "| ?\n",
-      "|  \n",
-      "\n",
-      "\n",
-      "| Because\n",
-      "|  he\n",
-      "|  was\n",
-      "|  outstanding\n",
-      "|  in\n",
-      "|  his\n",
-      "|  field\n",
-      "| !\n",
-      "| \n"
+      "AIMessage {\n",
+      "  \"id\": \"chatcmpl-ABUdCOvzRAvgoxd2sf93oGKQfA9vh\",\n",
+      "  \"content\": \"I don’t know your name, but I’d be happy to learn it if you’d like to share!\",\n",
+      "  \"additional_kwargs\": {},\n",
+      "  \"response_metadata\": {\n",
+      "    \"tokenUsage\": {\n",
+      "      \"completionTokens\": 22,\n",
+      "      \"promptTokens\": 97,\n",
+      "      \"totalTokens\": 119\n",
+      "    },\n",
+      "    \"finish_reason\": \"stop\",\n",
+      "    \"system_fingerprint\": \"fp_1bb46167f9\"\n",
+      "  },\n",
+      "  \"tool_calls\": [],\n",
+      "  \"invalid_tool_calls\": [],\n",
+      "  \"usage_metadata\": {\n",
+      "    \"input_tokens\": 97,\n",
+      "    \"output_tokens\": 22,\n",
+      "    \"total_tokens\": 119\n",
+      "  }\n",
+      "}\n"
      ]
     }
    ],
    "source": [
-    "const config5 = {\n",
-    "  configurable: {\n",
-    "    sessionId: \"abc6\"\n",
-    "  }\n",
-    "};\n",
+    "const config5 = { configurable: { thread_id: uuidv4() }}\n",
+    "const input8 = {\n",
+    "  // highlight-next-line\n",
+    "  messages: [...messages, new HumanMessage(\"What is my name?\")],\n",
+    "  language: \"English\"\n",
+    "}\n",
     "\n",
-    "const stream = await withMessageHistory2.stream({\n",
-    "  input: \"hi! I'm todd. tell me a joke\",\n",
-    "  chat_history: [],\n",
-    "}, config5);\n",
+    "const output9 = await app4.invoke(\n",
+    "  input8,\n",
+    "  config5,\n",
+    ")\n",
+    "console.log(output9.messages[output9.messages.length - 1]);"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "But if we ask about information that is within the last few messages, it remembers:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 57,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "AIMessage {\n",
+      "  \"id\": \"chatcmpl-ABUdChq5JOMhcFA1dB7PvCHLyliwM\",\n",
+      "  \"content\": \"You asked for the solution to the math problem \\\"what's 2 + 2,\\\" and I answered that it equals 4.\",\n",
+      "  \"additional_kwargs\": {},\n",
+      "  \"response_metadata\": {\n",
+      "    \"tokenUsage\": {\n",
+      "      \"completionTokens\": 27,\n",
+      "      \"promptTokens\": 99,\n",
+      "      \"totalTokens\": 126\n",
+      "    },\n",
+      "    \"finish_reason\": \"stop\",\n",
+      "    \"system_fingerprint\": \"fp_1bb46167f9\"\n",
+      "  },\n",
+      "  \"tool_calls\": [],\n",
+      "  \"invalid_tool_calls\": [],\n",
+      "  \"usage_metadata\": {\n",
+      "    \"input_tokens\": 99,\n",
+      "    \"output_tokens\": 27,\n",
+      "    \"total_tokens\": 126\n",
+      "  }\n",
+      "}\n"
+     ]
+    }
+   ],
+   "source": [
+    "const config6 = { configurable: { thread_id: uuidv4() }}\n",
+    "const input9 = {\n",
+    "  // highlight-next-line\n",
+    "  messages: [...messages, new HumanMessage(\"What math problem did I ask?\")],\n",
+    "  language: \"English\"\n",
+    "}\n",
     "\n",
-    "for await (const chunk of stream) {\n",
-    "  console.log(\"|\", chunk.content);\n",
-    "}"
+    "const output10 = await app4.invoke(\n",
+    "  input9,\n",
+    "  config6,\n",
+    ")\n",
+    "console.log(output10.messages[output10.messages.length - 1]);"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "If you take a look at LangSmith, you can see exactly what is happening under the hood in the [LangSmith trace](https://smith.langchain.com/public/bf1b1a10-0fe0-42f6-9f0f-b70d9f7520dc/r)."
    ]
   },
   {
@@ -771,12 +1115,14 @@
     "Now that you understand the basics of how to create a chatbot in LangChain, some more advanced tutorials you may be interested in are:\n",
     "\n",
     "- [Conversational RAG](/docs/tutorials/qa_chat_history): Enable a chatbot experience over an external source of data\n",
-    "- [Agents](https://langchain-ai.github.io/langgraphjs/tutorials/quickstart/): Build a chatbot that can take actions\n",
+    "- [Agents](https://langchain-ai.github.io/langgraphjs/tutorials/multi_agent/agent_supervisor/): Build a chatbot that can take actions\n",
     "\n",
     "If you want to dive deeper on specifics, some things worth checking out are:\n",
     "\n",
     "- [Streaming](/docs/how_to/streaming): streaming is *crucial* for chat applications\n",
-    "- [How to add message history](/docs/how_to/message_history): for a deeper dive into all things related to message history"
+    "- [How to add message history](/docs/how_to/message_history): for a deeper dive into all things related to message history\n",
+    "- [How to manage large message history](/docs/how_to/trim_messages/): more techniques for managing a large chat history\n",
+    "- [LangGraph main docs](https://langchain-ai.github.io/langgraph/): for more detail on building with LangGraph"
    ]
   }
  ],
@@ -787,12 +1133,15 @@
    "name": "deno"
   },
   "language_info": {
+   "codemirror_mode": {
+    "mode": "typescript",
+    "name": "javascript",
+    "typescript": true
+   },
    "file_extension": ".ts",
-   "mimetype": "text/x.typescript",
+   "mimetype": "text/typescript",
    "name": "typescript",
-   "nb_converter": "script",
-   "pygments_lexer": "typescript",
-   "version": "5.3.3"
+   "version": "3.7.2"
   }
  },
  "nbformat": 4,
diff --git a/docs/core_docs/docs/tutorials/qa_chat_history.ipynb b/docs/core_docs/docs/tutorials/qa_chat_history.ipynb
index b6bd8146c71a..b1694c4413ab 100644
--- a/docs/core_docs/docs/tutorials/qa_chat_history.ipynb
+++ b/docs/core_docs/docs/tutorials/qa_chat_history.ipynb
@@ -1,390 +1,1438 @@
 {
-  "cells": [
-    {
-      "cell_type": "markdown",
-      "metadata": {},
-      "source": [
-        "# Conversational RAG\n",
-        "\n",
-        ":::info Prerequisites\n",
-        "\n",
-        "This guide assumes familiarity with the following concepts:\n",
-        "\n",
-        "- [Chat history](/docs/concepts/#chat-history)\n",
-        "- [Chat models](/docs/concepts/#chat-models)\n",
-        "- [Embeddings](/docs/concepts/#embedding-models)\n",
-        "- [Vector stores](/docs/concepts/#vector-stores)\n",
-        "- [Retrieval-augmented generation](/docs/tutorials/rag/)\n",
-        "- [Tools](/docs/concepts/#tools)\n",
-        "- [Agents](/docs/concepts/#agents)\n",
-        "\n",
-        ":::\n",
-        "\n",
-        "In many Q&A applications we want to allow the user to have a back-and-forth conversation, meaning the application needs some sort of \"memory\" of past questions and answers, and some logic for incorporating those into its current thinking.\n",
-        "\n",
-        "In this guide we focus on **adding logic for incorporating historical messages.** Further details on chat history management is [covered here](/docs/how_to/message_history).\n",
-        "\n",
-        "We will cover two approaches:\n",
-        "\n",
-        "1. Chains, in which we always execute a retrieval step;\n",
-        "2. Agents, in which we give an LLM discretion over whether and how to execute a retrieval step (or multiple steps).\n",
-        "\n",
-        "For the external knowledge source, we will use the same [LLM Powered Autonomous Agents](https://lilianweng.github.io/posts/2023-06-23-agent/) blog post by Lilian Weng from the [RAG tutorial](/docs/tutorials/rag)."
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "metadata": {},
-      "source": [
-        "## Setup\n",
-        "### Dependencies\n",
-        "\n",
-        "We’ll use an OpenAI chat model and embeddings and a Memory vector store in this walkthrough, but everything shown here works with any [ChatModel](/docs/concepts/#chat-models) or [LLM](/docs/concepts#llms), [Embeddings](/docs/concepts#embedding-models), and [VectorStore](/docs/concepts#vectorstores) or [Retriever](/docs/concepts#retrievers).\n",
-        "\n",
-        "We’ll use the following packages:\n",
-        "\n",
-        "```bash\n",
-        "npm install --save langchain @langchain/openai cheerio\n",
-        "```\n",
-        "\n",
-        "We need to set environment variable `OPENAI_API_KEY`:\n",
-        "\n",
-        "```bash\n",
-        "export OPENAI_API_KEY=YOUR_KEY\n",
-        "```"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "metadata": {},
-      "source": [
-        "### LangSmith\n",
-        "\n",
-        "Many of the applications you build with LangChain will contain multiple steps with multiple invocations of LLM calls. As these applications get more and more complex, it becomes crucial to be able to inspect what exactly is going on inside your chain or agent. The best way to do this is with [LangSmith](https://smith.langchain.com/).\n",
-        "\n",
-        "Note that LangSmith is not needed, but it is helpful. If you do want to use LangSmith, after you sign up at the link above, make sure to set your environment variables to start logging traces:\n",
-        "\n",
-        "\n",
-        "```bash\n",
-        "export LANGCHAIN_TRACING_V2=true\n",
-        "export LANGCHAIN_API_KEY=YOUR_KEY\n",
-        "\n",
-        "# Reduce tracing latency if you are not in a serverless environment\n",
-        "# export LANGCHAIN_CALLBACKS_BACKGROUND=true\n",
-        "```"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "metadata": {},
-      "source": [
-        "### Initial setup"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 5,
-      "metadata": {},
-      "outputs": [],
-      "source": [
-        "import \"cheerio\";\n",
-        "import { CheerioWebBaseLoader } from \"@langchain/community/document_loaders/web/cheerio\";\n",
-        "import { RecursiveCharacterTextSplitter } from \"langchain/text_splitter\";\n",
-        "import { MemoryVectorStore } from \"langchain/vectorstores/memory\"\n",
-        "import { OpenAIEmbeddings, ChatOpenAI } from \"@langchain/openai\";\n",
-        "import { pull } from \"langchain/hub\";\n",
-        "import { ChatPromptTemplate } from \"@langchain/core/prompts\";\n",
-        "import { RunnableSequence, RunnablePassthrough } from \"@langchain/core/runnables\";\n",
-        "import { StringOutputParser } from \"@langchain/core/output_parsers\";\n",
-        "\n",
-        "import { createStuffDocumentsChain } from \"langchain/chains/combine_documents\";\n",
-        "\n",
-        "const loader = new CheerioWebBaseLoader(\n",
-        "  \"https://lilianweng.github.io/posts/2023-06-23-agent/\"\n",
-        ");\n",
-        "\n",
-        "const docs = await loader.load();\n",
-        "\n",
-        "const textSplitter = new RecursiveCharacterTextSplitter({ chunkSize: 1000, chunkOverlap: 200 });\n",
-        "const splits = await textSplitter.splitDocuments(docs);\n",
-        "const vectorStore = await MemoryVectorStore.fromDocuments(splits, new OpenAIEmbeddings());\n",
-        "\n",
-        "// Retrieve and generate using the relevant snippets of the blog.\n",
-        "const retriever = vectorStore.asRetriever();\n",
-        "const prompt = await pull<ChatPromptTemplate>(\"rlm/rag-prompt\");\n",
-        "const llm = new ChatOpenAI({ model: \"gpt-3.5-turbo\", temperature: 0 });\n",
-        "const ragChain = await createStuffDocumentsChain({\n",
-        "  llm,\n",
-        "  prompt,\n",
-        "  outputParser: new StringOutputParser(),\n",
-        "});"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "metadata": {},
-      "source": [
-        "Let's see what this prompt actually looks like:"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 1,
-      "metadata": {},
-      "outputs": [
-        {
-          "name": "stdout",
-          "output_type": "stream",
-          "text": [
-            "You are an assistant for question-answering tasks. Use the following pieces of retrieved context to answer the question. If you don't know the answer, just say that you don't know. Use three sentences maximum and keep the answer concise.\n",
-            "Question: {question} \n",
-            "Context: {context} \n",
-            "Answer:\n"
-          ]
-        }
-      ],
-      "source": [
-        "console.log(prompt.promptMessages.map((msg) => msg.prompt.template).join(\"\\n\"));"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": 7,
-      "metadata": {},
-      "outputs": [
-        {
-          "data": {
-            "text/plain": [
-              "\u001b[32m\"Task decomposition is a technique used to break down complex tasks into smaller and simpler steps. I\"\u001b[39m... 208 more characters"
-            ]
-          },
-          "execution_count": 7,
-          "metadata": {},
-          "output_type": "execute_result"
-        }
-      ],
-      "source": [
-        "await ragChain.invoke({\n",
-        "  context: await retriever.invoke(\"What is Task Decomposition?\"),\n",
-        "  question: \"What is Task Decomposition?\"\n",
-        "});"
-      ]
-    },
+ "cells": [
+  {
+   "cell_type": "raw",
+   "id": "023635f2-71cf-43f2-a2e2-a7b4ced30a74",
+   "metadata": {},
+   "source": [
+    "---\n",
+    "sidebar_position: 2\n",
+    "---"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "86fc5bb2-017f-434e-8cd6-53ab214a5604",
+   "metadata": {},
+   "source": [
+    "# Conversational RAG\n",
+    "\n",
+    ":::info Prerequisites\n",
+    "\n",
+    "This guide assumes familiarity with the following concepts:\n",
+    "\n",
+    "- [Chat history](/docs/concepts/#chat-history)\n",
+    "- [Chat models](/docs/concepts/#chat-models)\n",
+    "- [Embeddings](/docs/concepts/#embedding-models)\n",
+    "- [Vector stores](/docs/concepts/#vector-stores)\n",
+    "- [Retrieval-augmented generation](/docs/tutorials/rag/)\n",
+    "- [Tools](/docs/concepts/#tools)\n",
+    "- [Agents](/docs/concepts/#agents)\n",
+    "\n",
+    ":::\n",
+    "\n",
+    "In many Q&A applications we want to allow the user to have a back-and-forth conversation, meaning the application needs some sort of \"memory\" of past questions and answers, and some logic for incorporating those into its current thinking.\n",
+    "\n",
+    "In this guide we focus on **adding logic for incorporating historical messages.** Further details on chat history management is [covered here](/docs/how_to/message_history).\n",
+    "\n",
+    "We will cover two approaches:\n",
+    "\n",
+    "1. Chains, in which we always execute a retrieval step;\n",
+    "2. Agents, in which we give an LLM discretion over whether and how to execute a retrieval step (or multiple steps).\n",
+    "\n",
+    "For the external knowledge source, we will use the same [LLM Powered Autonomous Agents](https://lilianweng.github.io/posts/2023-06-23-agent/) blog post by Lilian Weng from the [RAG tutorial](/docs/tutorials/rag)."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "487d8d79-5ee9-4aa4-9fdf-cd5f4303e099",
+   "metadata": {},
+   "source": [
+    "## Setup\n",
+    "### Dependencies\n",
+    "\n",
+    "We’ll use an OpenAI chat model and embeddings and a Memory vector store in this walkthrough, but everything shown here works with any [ChatModel](/docs/concepts/#chat-models) or [LLM](/docs/concepts#llms), [Embeddings](/docs/concepts#embedding-models), and [VectorStore](/docs/concepts#vectorstores) or [Retriever](/docs/concepts#retrievers).\n",
+    "\n",
+    "We’ll use the following packages:\n",
+    "\n",
+    "```bash\n",
+    "npm install --save langchain @langchain/openai langchain cheerio\n",
+    "```\n",
+    "\n",
+    "We need to set environment variable `OPENAI_API_KEY`:\n",
+    "\n",
+    "```bash\n",
+    "export OPENAI_API_KEY=YOUR_KEY\n",
+    "```"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1665e740-ce01-4f09-b9ed-516db0bd326f",
+   "metadata": {},
+   "source": [
+    "### LangSmith\n",
+    "\n",
+    "Many of the applications you build with LangChain will contain multiple steps with multiple invocations of LLM calls. As these applications get more and more complex, it becomes crucial to be able to inspect what exactly is going on inside your chain or agent. The best way to do this is with [LangSmith](https://docs.smith.langchain.com).\n",
+    "\n",
+    "Note that LangSmith is not needed, but it is helpful. If you do want to use LangSmith, after you sign up at the link above, make sure to set your environment variables to start logging traces:\n",
+    "\n",
+    "\n",
+    "```bash\n",
+    "export LANGCHAIN_TRACING_V2=true\n",
+    "export LANGCHAIN_API_KEY=YOUR_KEY\n",
+    "\n",
+    "# Reduce tracing latency if you are not in a serverless environment\n",
+    "# export LANGCHAIN_CALLBACKS_BACKGROUND=true\n",
+    "```"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "fa6ba684-26cf-4860-904e-a4d51380c134",
+   "metadata": {},
+   "source": [
+    "## Chains {#chains}\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7d2cf4ef",
+   "metadata": {},
+   "source": [
+    "\n",
+    "Let's first revisit the Q&A app we built over the [LLM Powered Autonomous Agents](https://lilianweng.github.io/posts/2023-06-23-agent/) blog post by Lilian Weng in the [RAG tutorial](/docs/tutorials/rag)."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "646840fb-5212-48ea-8bc7-ec7be5ec727e",
+   "metadata": {},
+   "source": [
+    "```{=mdx}\n",
+    "import ChatModelTabs from \"@theme/ChatModelTabs\";\n",
+    "\n",
+    "<ChatModelTabs customVarName=\"llm\" />\n",
+    "```"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "cb58f273-2111-4a9b-8932-9b64c95030c8",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "// @lc-docs-hide-cell\n",
+    "import { ChatOpenAI } from \"@langchain/openai\";\n",
+    "\n",
+    "const llm = new ChatOpenAI({ model: \"gpt-4o\" });"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "820244ae-74b4-4593-b392-822979dd91b8",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import { CheerioWebBaseLoader } from \"@langchain/community/document_loaders/web/cheerio\";\n",
+    "import { RecursiveCharacterTextSplitter } from \"langchain/text_splitter\";\n",
+    "import { MemoryVectorStore } from \"langchain/vectorstores/memory\";\n",
+    "import { OpenAIEmbeddings } from \"@langchain/openai\";\n",
+    "import { ChatPromptTemplate } from \"@langchain/core/prompts\";\n",
+    "import { createRetrievalChain } from \"langchain/chains/retrieval\";\n",
+    "import { createStuffDocumentsChain } from \"langchain/chains/combine_documents\";\n",
+    "\n",
+    "// 1. Load, chunk and index the contents of the blog to create a retriever.\n",
+    "const loader = new CheerioWebBaseLoader(\n",
+    "  \"https://lilianweng.github.io/posts/2023-06-23-agent/\",\n",
+    "  {\n",
+    "    selector: \".post-content, .post-title, .post-header\"\n",
+    "  }\n",
+    ");\n",
+    "const docs = await loader.load();\n",
+    "\n",
+    "const textSplitter = new RecursiveCharacterTextSplitter({ chunkSize: 1000, chunkOverlap: 200 });\n",
+    "const splits = await textSplitter.splitDocuments(docs);\n",
+    "const vectorstore = await MemoryVectorStore.fromDocuments(splits, new OpenAIEmbeddings());\n",
+    "const retriever = vectorstore.asRetriever();\n",
+    "\n",
+    "// 2. Incorporate the retriever into a question-answering chain.\n",
+    "const systemPrompt = \n",
+    "  \"You are an assistant for question-answering tasks. \" +\n",
+    "  \"Use the following pieces of retrieved context to answer \" +\n",
+    "  \"the question. If you don't know the answer, say that you \" +\n",
+    "  \"don't know. Use three sentences maximum and keep the \" +\n",
+    "  \"answer concise.\" +\n",
+    "  \"\\n\\n\" +\n",
+    "  \"{context}\";\n",
+    "\n",
+    "const prompt = ChatPromptTemplate.fromMessages([\n",
+    "  [\"system\", systemPrompt],\n",
+    "  [\"human\", \"{input}\"],\n",
+    "]);\n",
+    "\n",
+    "const questionAnswerChain = await createStuffDocumentsChain({\n",
+    "  llm,\n",
+    "  prompt,\n",
+    "});\n",
+    "\n",
+    "const ragChain = await createRetrievalChain({\n",
+    "  retriever,\n",
+    "  combineDocsChain: questionAnswerChain,\n",
+    "});"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "bf55faaf-0d17-4b74-925d-c478b555f7b2",
+   "metadata": {},
+   "outputs": [
     {
-      "cell_type": "markdown",
-      "metadata": {},
-      "source": [
-        "## Contextualizing the question\n",
-        "\n",
-        "First we'll need to define a sub-chain that takes historical messages and the latest user question, and reformulates the question if it makes reference to any information in the historical information.\n",
-        "\n",
-        "We'll use a prompt that includes a `MessagesPlaceholder` variable under the name \"chat_history\". This allows us to pass in a list of Messages to the prompt using the \"chat_history\" input key, and these messages will be inserted after the system message and before the human message containing the latest question."
-      ]
-    },
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Task decomposition involves breaking down large and complex tasks into smaller, more manageable subgoals or steps. This approach helps agents or models efficiently handle intricate tasks by simplifying them into easier components. Task decomposition can be achieved through techniques like Chain of Thought, Tree of Thoughts, or by using task-specific instructions and human input.\n"
+     ]
+    }
+   ],
+   "source": [
+    "const response = await ragChain.invoke({ input: \"What is Task Decomposition?\" });\n",
+    "console.log(response.answer);"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "187404c7-db47-49c5-be29-9ecb96dc9afa",
+   "metadata": {},
+   "source": [
+    "Note that we have used the built-in chain constructors `createStuffDocumentsChain` and `createRetrievalChain`, so that the basic ingredients to our solution are:\n",
+    "\n",
+    "1. retriever;\n",
+    "2. prompt;\n",
+    "3. LLM.\n",
+    "\n",
+    "This will simplify the process of incorporating chat history.\n",
+    "\n",
+    "### Adding chat history\n",
+    "\n",
+    "The chain we have built uses the input query directly to retrieve relevant context. But in a conversational setting, the user query might require conversational context to be understood. For example, consider this exchange:\n",
+    "\n",
+    "> Human: \"What is Task Decomposition?\"\n",
+    ">\n",
+    "> AI: \"Task decomposition involves breaking down complex tasks into smaller and simpler steps to make them more manageable for an agent or model.\"\n",
+    ">\n",
+    "> Human: \"What are common ways of doing it?\"\n",
+    "\n",
+    "In order to answer the second question, our system needs to understand that \"it\" refers to \"Task Decomposition.\"\n",
+    "\n",
+    "We'll need to update two things about our existing app:\n",
+    "\n",
+    "1. **Prompt**: Update our prompt to support historical messages as an input.\n",
+    "2. **Contextualizing questions**: Add a sub-chain that takes the latest user question and reformulates it in the context of the chat history. This can be thought of simply as building a new \"history aware\" retriever. Whereas before we had:\n",
+    "   - `query` -> `retriever`  \n",
+    "     Now we will have:\n",
+    "   - `(query, conversation history)` -> `LLM` -> `rephrased query` -> `retriever`"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "776ae958-cbdc-4471-8669-c6087436f0b5",
+   "metadata": {},
+   "source": [
+    "#### Contextualizing the question\n",
+    "\n",
+    "First we'll need to define a sub-chain that takes historical messages and the latest user question, and reformulates the question if it makes reference to any information in the historical information.\n",
+    "\n",
+    "We'll use a prompt that includes a `MessagesPlaceholder` variable under the name \"chat_history\". This allows us to pass in a list of Messages to the prompt using the \"chat_history\" input key, and these messages will be inserted after the system message and before the human message containing the latest question.\n",
+    "\n",
+    "Note that we leverage a helper function [createHistoryAwareRetriever](https://api.js.langchain.com/functions/langchain.chains_history_aware_retriever.createHistoryAwareRetriever.html) for this step, which manages the case where `chat_history` is empty, and otherwise applies `prompt.pipe(llm).pipe(new StringOutputParser()).pipe(retriever)` in sequence.\n",
+    "\n",
+    "`createHistoryAwareRetriever` constructs a chain that accepts keys `input` and `chat_history` as input, and has the same output schema as a retriever."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "2b685428-8b82-4af1-be4f-7232c5d55b73",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import { createHistoryAwareRetriever } from \"langchain/chains/history_aware_retriever\";\n",
+    "import { MessagesPlaceholder } from \"@langchain/core/prompts\";\n",
+    "\n",
+    "const contextualizeQSystemPrompt = \n",
+    "  \"Given a chat history and the latest user question \" +\n",
+    "  \"which might reference context in the chat history, \" +\n",
+    "  \"formulate a standalone question which can be understood \" +\n",
+    "  \"without the chat history. Do NOT answer the question, \" +\n",
+    "  \"just reformulate it if needed and otherwise return it as is.\";\n",
+    "\n",
+    "const contextualizeQPrompt = ChatPromptTemplate.fromMessages([\n",
+    "  [\"system\", contextualizeQSystemPrompt],\n",
+    "  new MessagesPlaceholder(\"chat_history\"),\n",
+    "  [\"human\", \"{input}\"],\n",
+    "]);\n",
+    "\n",
+    "const historyAwareRetriever = await createHistoryAwareRetriever({\n",
+    "  llm,\n",
+    "  retriever,\n",
+    "  rephrasePrompt: contextualizeQPrompt,\n",
+    "});"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "42a47168-4a1f-4e39-bd2d-d5b03609a243",
+   "metadata": {},
+   "source": [
+    "This chain prepends a rephrasing of the input query to our retriever, so that the retrieval incorporates the context of the conversation.\n",
+    "\n",
+    "Now we can build our full QA chain. This is as simple as updating the retriever to be our new `historyAwareRetriever`.\n",
+    "\n",
+    "Again, we will use [createStuffDocumentsChain](https://api.js.langchain.com/functions/langchain.chains_combine_documents.createStuffDocumentsChain.html) to generate a `questionAnswerChain2`, with input keys `context`, `chat_history`, and `input`-- it accepts the retrieved context alongside the conversation history and query to generate an answer. A more detailed explaination is over [here](/docs/tutorials/rag/#built-in-chains)\n",
+    "\n",
+    "We build our final `ragChain2` with [createRetrievalChain](https://api.js.langchain.com/functions/langchain.chains_retrieval.createRetrievalChain.html). This chain applies the `historyAwareRetriever` and `questionAnswerChain2` in sequence, retaining intermediate outputs such as the retrieved context for convenience. It has input keys `input` and `chat_history`, and includes `input`, `chat_history`, `context`, and `answer` in its output."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "66f275f3-ddef-4678-b90d-ee64576878f9",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "const qaPrompt = ChatPromptTemplate.fromMessages([\n",
+    "  [\"system\", systemPrompt],\n",
+    "  new MessagesPlaceholder(\"chat_history\"),\n",
+    "  [\"human\", \"{input}\"],\n",
+    "]);\n",
+    "\n",
+    "const questionAnswerChain2 = await createStuffDocumentsChain({\n",
+    "  llm,\n",
+    "  prompt: qaPrompt,\n",
+    "});\n",
+    "\n",
+    "const ragChain2 = await createRetrievalChain({\n",
+    "  retriever: historyAwareRetriever,\n",
+    "  combineDocsChain: questionAnswerChain2,\n",
+    "});"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1ba1ae56-7ecb-4563-b792-50a1a5042df3",
+   "metadata": {},
+   "source": [
+    "Let's try this. Below we ask a question and a follow-up question that requires contextualization to return a sensible response. Because our chain includes a `\"chat_history\"` input, the caller needs to manage the chat history. We can achieve this by appending input and output messages to a list:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "0005810b-1b95-4666-a795-08d80e478b83",
+   "metadata": {},
+   "outputs": [
     {
-      "cell_type": "code",
-      "execution_count": 5,
-      "metadata": {},
-      "outputs": [],
-      "source": [
-        "import { ChatPromptTemplate, MessagesPlaceholder } from \"@langchain/core/prompts\";\n",
-        "\n",
-        "const contextualizeQSystemPrompt = `Given a chat history and the latest user question\n",
-        "which might reference context in the chat history, formulate a standalone question\n",
-        "which can be understood without the chat history. Do NOT answer the question,\n",
-        "just reformulate it if needed and otherwise return it as is.`;\n",
-        "\n",
-        "const contextualizeQPrompt = ChatPromptTemplate.fromMessages([\n",
-        "  [\"system\", contextualizeQSystemPrompt],\n",
-        "  new MessagesPlaceholder(\"chat_history\"),\n",
-        "  [\"human\", \"{question}\"]\n",
-        "]);\n",
-        "const contextualizeQChain = contextualizeQPrompt.pipe(llm).pipe(new StringOutputParser());"
-      ]
-    },
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Common ways of doing Task Decomposition include:\n",
+      "1. Using simple prompting with an LLM, such as asking it to outline steps or subgoals for a task.\n",
+      "2. Employing task-specific instructions, like \"Write a story outline\" for writing a novel.\n",
+      "3. Incorporating human inputs for guidance.\n",
+      "Additionally, advanced approaches like Chain of Thought (CoT) and Tree of Thoughts (ToT) can further refine the process, and using an external classical planner with PDDL (as in LLM+P) is another option.\n"
+     ]
+    }
+   ],
+   "source": [
+    "import { BaseMessage, HumanMessage, AIMessage } from \"@langchain/core/messages\";\n",
+    "\n",
+    "let chatHistory: BaseMessage[] = [];\n",
+    "\n",
+    "const question = \"What is Task Decomposition?\";\n",
+    "const aiMsg1 = await ragChain2.invoke({ input: question, chat_history: chatHistory });\n",
+    "chatHistory = chatHistory.concat([\n",
+    "  new HumanMessage(question),\n",
+    "  new AIMessage(aiMsg1.answer),\n",
+    "]);\n",
+    "\n",
+    "const secondQuestion = \"What are common ways of doing it?\";\n",
+    "const aiMsg2 = await ragChain2.invoke({ input: secondQuestion, chat_history: chatHistory });\n",
+    "\n",
+    "console.log(aiMsg2.answer);"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "53a662c2-f38b-45f9-95c4-66de15637614",
+   "metadata": {},
+   "source": [
+    "#### Stateful management of chat history\n",
+    "\n",
+    "Here we've gone over how to add application logic for incorporating historical outputs, but we're still manually updating the chat history and inserting it into each input. In a real Q&A application we'll want some way of persisting chat history and some way of automatically inserting and updating it.\n",
+    "\n",
+    "For this we can use:\n",
+    "\n",
+    "- [BaseChatMessageHistory](https://api.js.langchain.com/classes/_langchain_core.chat_history.BaseChatMessageHistory.html): Store chat history.\n",
+    "- [RunnableWithMessageHistory](/docs/how_to/message_history): Wrapper for an LCEL chain and a `BaseChatMessageHistory` that handles injecting chat history into inputs and updating it after each invocation.\n",
+    "\n",
+    "For a detailed walkthrough of how to use these classes together to create a stateful conversational chain, head to the [How to add message history (memory)](/docs/how_to/message_history) LCEL page.\n",
+    "\n",
+    "Instances of `RunnableWithMessageHistory` manage the chat history for you. They accept a config with a key (`\"sessionId\"` by default) that specifies what conversation history to fetch and prepend to the input, and append the output to the same conversation history. Below is an example:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "id": "9c3fb176-8d6a-4dc7-8408-6a22c5f7cc72",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import { RunnableWithMessageHistory } from \"@langchain/core/runnables\";\n",
+    "import { ChatMessageHistory } from \"langchain/stores/message/in_memory\";\n",
+    "\n",
+    "const demoEphemeralChatMessageHistoryForChain = new ChatMessageHistory();\n",
+    "\n",
+    "const conversationalRagChain = new RunnableWithMessageHistory({\n",
+    "  runnable: ragChain2,\n",
+    "  getMessageHistory: (_sessionId) => demoEphemeralChatMessageHistoryForChain,\n",
+    "  inputMessagesKey: \"input\",\n",
+    "  historyMessagesKey: \"chat_history\",\n",
+    "  outputMessagesKey: \"answer\",\n",
+    "})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "id": "1046c92f-21b3-4214-907d-92878d8cba23",
+   "metadata": {},
+   "outputs": [
     {
-      "cell_type": "markdown",
-      "metadata": {},
-      "source": [
-        "Using this chain we can ask follow-up questions that reference past messages and have them reformulated into standalone questions:"
-      ]
-    },
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Task Decomposition involves breaking down complicated tasks into smaller, more manageable subgoals. Techniques such as the Chain of Thought (CoT) and Tree of Thoughts extend this by decomposing problems into multiple thought steps and exploring multiple reasoning possibilities at each step. LLMs can perform task decomposition using simple prompts, task-specific instructions, or human inputs, and some approaches like LLM+P involve using external classical planners.\n"
+     ]
+    }
+   ],
+   "source": [
+    "const result1 = await conversationalRagChain.invoke(\n",
+    "  { input: \"What is Task Decomposition?\" },\n",
+    "  { configurable: { sessionId: \"abc123\" } }\n",
+    ");\n",
+    "console.log(result1.answer);"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "id": "0e89c75f-7ad7-4331-a2fe-57579eb8f840",
+   "metadata": {},
+   "outputs": [
     {
-      "cell_type": "code",
-      "execution_count": 6,
-      "metadata": {},
-      "outputs": [
-        {
-          "data": {
-            "text/plain": [
-              "\u001b[32m'What is the definition of \"large\" in the context of a language model?'\u001b[39m"
-            ]
-          },
-          "execution_count": 6,
-          "metadata": {},
-          "output_type": "execute_result"
-        }
-      ],
-      "source": [
-        "import { AIMessage, HumanMessage } from \"@langchain/core/messages\";\n",
-        "\n",
-        "await contextualizeQChain.invoke({\n",
-        "  chat_history: [\n",
-        "    new HumanMessage(\"What does LLM stand for?\"),\n",
-        "    new AIMessage(\"Large language model\") \n",
-        "  ],\n",
-        "  question: \"What is meant by large\",\n",
-        "})"
-      ]
-    },
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Common ways of doing task decomposition include:\n",
+      "\n",
+      "1. Using simple prompting with an LLM, such as \"Steps for XYZ.\\n1.\" or \"What are the subgoals for achieving XYZ?\"\n",
+      "2. Utilizing task-specific instructions, like \"Write a story outline.\" for writing a novel.\n",
+      "3. Incorporating human inputs to guide and refine the decomposition process. \n",
+      "\n",
+      "Additionally, the LLM+P approach utilizes an external classical planner, involving PDDL to describe and plan complex tasks.\n"
+     ]
+    }
+   ],
+   "source": [
+    "const result2 = await conversationalRagChain.invoke(\n",
+    "  { input: \"What are common ways of doing it?\" },\n",
+    "  { configurable: { sessionId: \"abc123\" } }\n",
+    ");\n",
+    "console.log(result2.answer);"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0ab1ded4-76d9-453f-9b9b-db9a4560c737",
+   "metadata": {},
+   "source": [
+    "### Tying it together"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "8a08a5ea-df5b-4547-93c6-2a3940dd5c3e",
+   "metadata": {},
+   "source": [
+    "![](../../static/img/conversational_retrieval_chain.png)\n",
+    "\n",
+    "For convenience, we tie together all of the necessary steps in a single code cell:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "id": "71c32048-1a41-465f-a9e2-c4affc332fd9",
+   "metadata": {},
+   "outputs": [
     {
-      "cell_type": "markdown",
-      "metadata": {},
-      "source": [
-        "## Chain with chat history\n",
-        "\n",
-        "And now we can build our full QA chain. \n",
-        "\n",
-        "Notice we add some routing functionality to only run the \"condense question chain\" when our chat history isn't empty. Here we're taking advantage of the fact that if a function in an LCEL chain returns another chain, that chain will itself be invoked."
-      ]
-    },
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{ input: 'What is Task Decomposition?' }\n",
+      "----\n",
+      "{ chat_history: [] }\n",
+      "----\n",
+      "{\n",
+      "  context: [\n",
+      "    Document {\n",
+      "      pageContent: 'Fig. 1. Overview of a LLM-powered autonomous agent system.\\n' +\n",
+      "        'Component One: Planning#\\n' +\n",
+      "        'A complicated task usually involves many steps. An agent needs to know what they are and plan ahead.\\n' +\n",
+      "        'Task Decomposition#\\n' +\n",
+      "        'Chain of thought (CoT; Wei et al. 2022) has become a standard prompting technique for enhancing model performance on complex tasks. The model is instructed to “think step by step” to utilize more test-time computation to decompose hard tasks into smaller and simpler steps. CoT transforms big tasks into multiple manageable tasks and shed lights into an interpretation of the model’s thinking process.\\n' +\n",
+      "        'Tree of Thoughts (Yao et al. 2023) extends CoT by exploring multiple reasoning possibilities at each step. It first decomposes the problem into multiple thought steps and generates multiple thoughts per step, creating a tree structure. The search process can be BFS (breadth-first search) or DFS (depth-first search) with each state evaluated by a classifier (via a prompt) or majority vote.',\n",
+      "      metadata: [Object],\n",
+      "      id: undefined\n",
+      "    },\n",
+      "    Document {\n",
+      "      pageContent: 'Task decomposition can be done (1) by LLM with simple prompting like \"Steps for XYZ.\\\\n1.\", \"What are the subgoals for achieving XYZ?\", (2) by using task-specific instructions; e.g. \"Write a story outline.\" for writing a novel, or (3) with human inputs.\\n' +\n",
+      "        'Another quite distinct approach, LLM+P (Liu et al. 2023), involves relying on an external classical planner to do long-horizon planning. This approach utilizes the Planning Domain Definition Language (PDDL) as an intermediate interface to describe the planning problem. In this process, LLM (1) translates the problem into “Problem PDDL”, then (2) requests a classical planner to generate a PDDL plan based on an existing “Domain PDDL”, and finally (3) translates the PDDL plan back into natural language. Essentially, the planning step is outsourced to an external tool, assuming the availability of domain-specific PDDL and a suitable planner which is common in certain robotic setups but not in many other domains.\\n' +\n",
+      "        'Self-Reflection#',\n",
+      "      metadata: [Object],\n",
+      "      id: undefined\n",
+      "    },\n",
+      "    Document {\n",
+      "      pageContent: 'Planning\\n' +\n",
+      "        '\\n' +\n",
+      "        'Subgoal and decomposition: The agent breaks down large tasks into smaller, manageable subgoals, enabling efficient handling of complex tasks.\\n' +\n",
+      "        'Reflection and refinement: The agent can do self-criticism and self-reflection over past actions, learn from mistakes and refine them for future steps, thereby improving the quality of final results.\\n' +\n",
+      "        '\\n' +\n",
+      "        '\\n' +\n",
+      "        'Memory\\n' +\n",
+      "        '\\n' +\n",
+      "        'Short-term memory: I would consider all the in-context learning (See Prompt Engineering) as utilizing short-term memory of the model to learn.\\n' +\n",
+      "        'Long-term memory: This provides the agent with the capability to retain and recall (infinite) information over extended periods, often by leveraging an external vector store and fast retrieval.\\n' +\n",
+      "        '\\n' +\n",
+      "        '\\n' +\n",
+      "        'Tool use\\n' +\n",
+      "        '\\n' +\n",
+      "        'The agent learns to call external APIs for extra information that is missing from the model weights (often hard to change after pre-training), including current information, code execution capability, access to proprietary information sources and more.',\n",
+      "      metadata: [Object],\n",
+      "      id: undefined\n",
+      "    },\n",
+      "    Document {\n",
+      "      pageContent: 'Resources:\\n' +\n",
+      "        '1. Internet access for searches and information gathering.\\n' +\n",
+      "        '2. Long Term memory management.\\n' +\n",
+      "        '3. GPT-3.5 powered Agents for delegation of simple tasks.\\n' +\n",
+      "        '4. File output.\\n' +\n",
+      "        '\\n' +\n",
+      "        'Performance Evaluation:\\n' +\n",
+      "        '1. Continuously review and analyze your actions to ensure you are performing to the best of your abilities.\\n' +\n",
+      "        '2. Constructively self-criticize your big-picture behavior constantly.\\n' +\n",
+      "        '3. Reflect on past decisions and strategies to refine your approach.\\n' +\n",
+      "        '4. Every command has a cost, so be smart and efficient. Aim to complete tasks in the least number of steps.',\n",
+      "      metadata: [Object],\n",
+      "      id: undefined\n",
+      "    }\n",
+      "  ]\n",
+      "}\n",
+      "----\n",
+      "{ answer: '' }\n",
+      "----\n",
+      "{ answer: 'Task' }\n",
+      "----\n",
+      "{ answer: ' decomposition' }\n",
+      "----\n",
+      "{ answer: ' involves' }\n",
+      "----\n",
+      "{ answer: ' breaking' }\n",
+      "----\n",
+      "{ answer: ' down' }\n",
+      "----\n",
+      "{ answer: ' a' }\n",
+      "----\n",
+      "{ answer: ' complex' }\n",
+      "----\n",
+      "{ answer: ' task' }\n",
+      "----\n",
+      "{ answer: ' into' }\n",
+      "----\n",
+      "{ answer: ' smaller' }\n",
+      "----\n",
+      "{ answer: ' and' }\n",
+      "----\n",
+      "{ answer: ' more' }\n",
+      "----\n",
+      "{ answer: ' manageable' }\n",
+      "----\n",
+      "{ answer: ' sub' }\n",
+      "----\n",
+      "{ answer: 'goals' }\n",
+      "----\n",
+      "{ answer: ' or' }\n",
+      "----\n",
+      "{ answer: ' steps' }\n",
+      "----\n",
+      "{ answer: '.' }\n",
+      "----\n",
+      "{ answer: ' This' }\n",
+      "----\n",
+      "{ answer: ' process' }\n",
+      "----\n",
+      "{ answer: ' allows' }\n",
+      "----\n",
+      "{ answer: ' an' }\n",
+      "----\n",
+      "{ answer: ' agent' }\n",
+      "----\n",
+      "{ answer: ' or' }\n",
+      "----\n",
+      "{ answer: ' model' }\n",
+      "----\n",
+      "{ answer: ' to' }\n",
+      "----\n",
+      "{ answer: ' efficiently' }\n",
+      "----\n",
+      "{ answer: ' handle' }\n",
+      "----\n",
+      "{ answer: ' intricate' }\n",
+      "----\n",
+      "{ answer: ' tasks' }\n",
+      "----\n",
+      "{ answer: ' by' }\n",
+      "----\n",
+      "{ answer: ' dividing' }\n",
+      "----\n",
+      "{ answer: ' them' }\n",
+      "----\n",
+      "{ answer: ' into' }\n",
+      "----\n",
+      "{ answer: ' simpler' }\n",
+      "----\n",
+      "{ answer: ' components' }\n",
+      "----\n",
+      "{ answer: '.' }\n",
+      "----\n",
+      "{ answer: ' Task' }\n",
+      "----\n",
+      "{ answer: ' decomposition' }\n",
+      "----\n",
+      "{ answer: ' can' }\n",
+      "----\n",
+      "{ answer: ' be' }\n",
+      "----\n",
+      "{ answer: ' achieved' }\n",
+      "----\n",
+      "{ answer: ' through' }\n",
+      "----\n",
+      "{ answer: ' techniques' }\n",
+      "----\n",
+      "{ answer: ' like' }\n",
+      "----\n",
+      "{ answer: ' Chain' }\n",
+      "----\n",
+      "{ answer: ' of' }\n",
+      "----\n",
+      "{ answer: ' Thought' }\n",
+      "----\n",
+      "{ answer: ',' }\n",
+      "----\n",
+      "{ answer: ' Tree' }\n",
+      "----\n",
+      "{ answer: ' of' }\n",
+      "----\n",
+      "{ answer: ' Thoughts' }\n",
+      "----\n",
+      "{ answer: ',' }\n",
+      "----\n",
+      "{ answer: ' or' }\n",
+      "----\n",
+      "{ answer: ' by' }\n",
+      "----\n",
+      "{ answer: ' using' }\n",
+      "----\n",
+      "{ answer: ' task' }\n",
+      "----\n",
+      "{ answer: '-specific' }\n",
+      "----\n",
+      "{ answer: ' instructions' }\n",
+      "----\n",
+      "{ answer: '.' }\n",
+      "----\n",
+      "{ answer: '' }\n",
+      "----\n",
+      "{ answer: '' }\n",
+      "----\n"
+     ]
+    }
+   ],
+   "source": [
+    "import { CheerioWebBaseLoader } from \"@langchain/community/document_loaders/web/cheerio\";\n",
+    "import { RecursiveCharacterTextSplitter } from \"langchain/text_splitter\";\n",
+    "import { MemoryVectorStore } from \"langchain/vectorstores/memory\";\n",
+    "import { OpenAIEmbeddings, ChatOpenAI } from \"@langchain/openai\";\n",
+    "import { ChatPromptTemplate, MessagesPlaceholder } from \"@langchain/core/prompts\";\n",
+    "import { createHistoryAwareRetriever } from \"langchain/chains/history_aware_retriever\";\n",
+    "import { createStuffDocumentsChain } from \"langchain/chains/combine_documents\";\n",
+    "import { createRetrievalChain } from \"langchain/chains/retrieval\";\n",
+    "import { RunnableWithMessageHistory } from \"@langchain/core/runnables\";\n",
+    "import { ChatMessageHistory } from \"langchain/stores/message/in_memory\";\n",
+    "import { BaseChatMessageHistory } from \"@langchain/core/chat_history\";\n",
+    "\n",
+    "const llm2 = new ChatOpenAI({ model: \"gpt-3.5-turbo\", temperature: 0 });\n",
+    "\n",
+    "// Construct retriever\n",
+    "const loader2 = new CheerioWebBaseLoader(\n",
+    "  \"https://lilianweng.github.io/posts/2023-06-23-agent/\",\n",
+    "  {\n",
+    "    selector: \".post-content, .post-title, .post-header\"\n",
+    "  }\n",
+    ");\n",
+    "\n",
+    "const docs2 = await loader2.load();\n",
+    "\n",
+    "const textSplitter2 = new RecursiveCharacterTextSplitter({ chunkSize: 1000, chunkOverlap: 200 });\n",
+    "const splits2 = await textSplitter2.splitDocuments(docs2);\n",
+    "const vectorstore2 = await MemoryVectorStore.fromDocuments(splits2, new OpenAIEmbeddings());\n",
+    "const retriever2 = vectorstore2.asRetriever();\n",
+    "\n",
+    "// Contextualize question\n",
+    "const contextualizeQSystemPrompt2 = \n",
+    "  \"Given a chat history and the latest user question \" +\n",
+    "  \"which might reference context in the chat history, \" +\n",
+    "  \"formulate a standalone question which can be understood \" +\n",
+    "  \"without the chat history. Do NOT answer the question, \" +\n",
+    "  \"just reformulate it if needed and otherwise return it as is.\";\n",
+    "\n",
+    "const contextualizeQPrompt2 = ChatPromptTemplate.fromMessages([\n",
+    "  [\"system\", contextualizeQSystemPrompt2],\n",
+    "  new MessagesPlaceholder(\"chat_history\"),\n",
+    "  [\"human\", \"{input}\"],\n",
+    "]);\n",
+    "\n",
+    "const historyAwareRetriever2 = await createHistoryAwareRetriever({\n",
+    "  llm: llm2,\n",
+    "  retriever: retriever2,\n",
+    "  rephrasePrompt: contextualizeQPrompt2\n",
+    "});\n",
+    "\n",
+    "// Answer question\n",
+    "const systemPrompt2 = \n",
+    "  \"You are an assistant for question-answering tasks. \" +\n",
+    "  \"Use the following pieces of retrieved context to answer \" +\n",
+    "  \"the question. If you don't know the answer, say that you \" +\n",
+    "  \"don't know. Use three sentences maximum and keep the \" +\n",
+    "  \"answer concise.\" +\n",
+    "  \"\\n\\n\" +\n",
+    "  \"{context}\";\n",
+    "\n",
+    "const qaPrompt2 = ChatPromptTemplate.fromMessages([\n",
+    "  [\"system\", systemPrompt2],\n",
+    "  new MessagesPlaceholder(\"chat_history\"),\n",
+    "  [\"human\", \"{input}\"],\n",
+    "]);\n",
+    "\n",
+    "const questionAnswerChain3 = await createStuffDocumentsChain({\n",
+    "  llm,\n",
+    "  prompt: qaPrompt2,\n",
+    "});\n",
+    "\n",
+    "const ragChain3 = await createRetrievalChain({\n",
+    "  retriever: historyAwareRetriever2,\n",
+    "  combineDocsChain: questionAnswerChain3,\n",
+    "});\n",
+    "\n",
+    "// Statefully manage chat history\n",
+    "const store2: Record<string, BaseChatMessageHistory> = {};\n",
+    "\n",
+    "function getSessionHistory2(sessionId: string): BaseChatMessageHistory {\n",
+    "  if (!(sessionId in store2)) {\n",
+    "    store2[sessionId] = new ChatMessageHistory();\n",
+    "  }\n",
+    "  return store2[sessionId];\n",
+    "}\n",
+    "\n",
+    "const conversationalRagChain2 = new RunnableWithMessageHistory({\n",
+    "  runnable: ragChain3,\n",
+    "  getMessageHistory: getSessionHistory2,\n",
+    "  inputMessagesKey: \"input\",\n",
+    "  historyMessagesKey: \"chat_history\",\n",
+    "  outputMessagesKey: \"answer\",\n",
+    "});\n",
+    "\n",
+    "// Example usage\n",
+    "const query2 = \"What is Task Decomposition?\";\n",
+    "\n",
+    "for await (const s of await conversationalRagChain2.stream(\n",
+    "  { input: query2 },\n",
+    "  { configurable: { sessionId: \"unique_session_id\" } }\n",
+    ")) {\n",
+    "  console.log(s);\n",
+    "  console.log(\"----\");\n",
+    "}"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "861da8ed-d890-4fdc-a3bf-30433db61e0d",
+   "metadata": {},
+   "source": [
+    "## Agents {#agents}\n",
+    "\n",
+    "Agents leverage the reasoning capabilities of LLMs to make decisions during execution. Using agents allow you to offload some discretion over the retrieval process. Although their behavior is less predictable than chains, they offer some advantages in this context:\n",
+    "\n",
+    "- Agents generate the input to the retriever directly, without necessarily needing us to explicitly build in contextualization, as we did above;\n",
+    "- Agents can execute multiple retrieval steps in service of a query, or refrain from executing a retrieval step altogether (e.g., in response to a generic greeting from a user).\n",
+    "\n",
+    "### Retrieval tool\n",
+    "\n",
+    "Agents can access \"tools\" and manage their execution. In this case, we will convert our retriever into a LangChain tool to be wielded by the agent:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "id": "809cc747-2135-40a2-8e73-e4556343ee64",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import { createRetrieverTool } from \"langchain/tools/retriever\";\n",
+    "\n",
+    "const tool = createRetrieverTool(\n",
+    "    retriever,\n",
+    "    {\n",
+    "      name: \"blog_post_retriever\",\n",
+    "      description: \"Searches and returns excerpts from the Autonomous Agents blog post.\",\n",
+    "    }\n",
+    ")\n",
+    "const tools = [tool]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "07dcb968-ed9a-458a-85e1-528cd28c6965",
+   "metadata": {},
+   "source": [
+    "Tools are LangChain [Runnables](/docs/concepts#langchain-expression-language-lcel), and implement the usual interface:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "id": "931c4fe3-c603-4efb-9b37-5f7cbbb1cbbd",
+   "metadata": {},
+   "outputs": [
     {
-      "cell_type": "code",
-      "execution_count": 8,
-      "metadata": {},
-      "outputs": [],
-      "source": [
-        "import { ChatPromptTemplate, MessagesPlaceholder } from \"@langchain/core/prompts\"\n",
-        "import { RunnablePassthrough, RunnableSequence } from \"@langchain/core/runnables\";\n",
-        "import { formatDocumentsAsString } from \"langchain/util/document\";\n",
-        "\n",
-        "const qaSystemPrompt = `You are an assistant for question-answering tasks.\n",
-        "Use the following pieces of retrieved context to answer the question.\n",
-        "If you don't know the answer, just say that you don't know.\n",
-        "Use three sentences maximum and keep the answer concise.\n",
-        "\n",
-        "{context}`\n",
-        "\n",
-        "const qaPrompt = ChatPromptTemplate.fromMessages([\n",
-        "  [\"system\", qaSystemPrompt],\n",
-        "  new MessagesPlaceholder(\"chat_history\"),\n",
-        "  [\"human\", \"{question}\"]\n",
-        "]);\n",
-        "\n",
-        "const contextualizedQuestion = (input: Record<string, unknown>) => {\n",
-        "  if (\"chat_history\" in input) {\n",
-        "    return contextualizeQChain;\n",
-        "  }\n",
-        "  return input.question;\n",
-        "};\n",
-        "\n",
-        "const ragChain = RunnableSequence.from([\n",
-        "  RunnablePassthrough.assign({\n",
-        "    context: (input: Record<string, unknown>) => {\n",
-        "      if (\"chat_history\" in input) {\n",
-        "        const chain = contextualizedQuestion(input);\n",
-        "        return chain.pipe(retriever).pipe(formatDocumentsAsString);\n",
-        "      }\n",
-        "      return \"\";\n",
-        "    },\n",
-        "  }),\n",
-        "  qaPrompt,\n",
-        "  llm\n",
-        "])"
-      ]
-    },
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Task decomposition can be done (1) by LLM with simple prompting like \"Steps for XYZ.\\n1.\", \"What are the subgoals for achieving XYZ?\", (2) by using task-specific instructions; e.g. \"Write a story outline.\" for writing a novel, or (3) with human inputs.\n",
+      "Another quite distinct approach, LLM+P (Liu et al. 2023), involves relying on an external classical planner to do long-horizon planning. This approach utilizes the Planning Domain Definition Language (PDDL) as an intermediate interface to describe the planning problem. In this process, LLM (1) translates the problem into “Problem PDDL”, then (2) requests a classical planner to generate a PDDL plan based on an existing “Domain PDDL”, and finally (3) translates the PDDL plan back into natural language. Essentially, the planning step is outsourced to an external tool, assuming the availability of domain-specific PDDL and a suitable planner which is common in certain robotic setups but not in many other domains.\n",
+      "Self-Reflection#\n",
+      "\n",
+      "Fig. 1. Overview of a LLM-powered autonomous agent system.\n",
+      "Component One: Planning#\n",
+      "A complicated task usually involves many steps. An agent needs to know what they are and plan ahead.\n",
+      "Task Decomposition#\n",
+      "Chain of thought (CoT; Wei et al. 2022) has become a standard prompting technique for enhancing model performance on complex tasks. The model is instructed to “think step by step” to utilize more test-time computation to decompose hard tasks into smaller and simpler steps. CoT transforms big tasks into multiple manageable tasks and shed lights into an interpretation of the model’s thinking process.\n",
+      "Tree of Thoughts (Yao et al. 2023) extends CoT by exploring multiple reasoning possibilities at each step. It first decomposes the problem into multiple thought steps and generates multiple thoughts per step, creating a tree structure. The search process can be BFS (breadth-first search) or DFS (depth-first search) with each state evaluated by a classifier (via a prompt) or majority vote.\n",
+      "\n",
+      "(3) Task execution: Expert models execute on the specific tasks and log results.\n",
+      "Instruction:\n",
+      "\n",
+      "With the input and the inference results, the AI assistant needs to describe the process and results. The previous stages can be formed as - User Input: {{ User Input }}, Task Planning: {{ Tasks }}, Model Selection: {{ Model Assignment }}, Task Execution: {{ Predictions }}. You must first answer the user's request in a straightforward manner. Then describe the task process and show your analysis and model inference results to the user in the first person. If inference results contain a file path, must tell the user the complete file path.\n",
+      "\n",
+      "Resources:\n",
+      "1. Internet access for searches and information gathering.\n",
+      "2. Long Term memory management.\n",
+      "3. GPT-3.5 powered Agents for delegation of simple tasks.\n",
+      "4. File output.\n",
+      "\n",
+      "Performance Evaluation:\n",
+      "1. Continuously review and analyze your actions to ensure you are performing to the best of your abilities.\n",
+      "2. Constructively self-criticize your big-picture behavior constantly.\n",
+      "3. Reflect on past decisions and strategies to refine your approach.\n",
+      "4. Every command has a cost, so be smart and efficient. Aim to complete tasks in the least number of steps.\n"
+     ]
+    }
+   ],
+   "source": [
+    "console.log(await tool.invoke({ query: \"task decomposition\" }))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f77e0217-28be-4b8b-b4c4-9cc4ed5ec201",
+   "metadata": {},
+   "source": [
+    "### Agent constructor\n",
+    "\n",
+    "Now that we have defined the tools and the LLM, we can create the agent. We will be using [LangGraph](/docs/concepts/#langgraph) to construct the agent. \n",
+    "Currently we are using a high level interface to construct the agent, but the nice thing about LangGraph is that this high-level interface is backed by a low-level, highly controllable API in case you want to modify the agent logic."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "id": "1726d151-4653-4c72-a187-a14840add526",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import { createReactAgent } from \"@langchain/langgraph/prebuilt\";\n",
+    "\n",
+    "const agentExecutor = createReactAgent({ llm, tools });"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "6d5152ca-1c3b-4f58-bb28-f31c0be7ba66",
+   "metadata": {},
+   "source": [
+    "We can now try it out. Note that so far it is not stateful (we still need to add in memory)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "id": "170403a2-c914-41db-85d8-a2c381da112d",
+   "metadata": {},
+   "outputs": [
     {
-      "cell_type": "code",
-      "execution_count": 10,
-      "metadata": {},
-      "outputs": [
-        {
-          "name": "stdout",
-          "output_type": "stream",
-          "text": [
-            "AIMessage {\n",
-            "  lc_serializable: true,\n",
-            "  lc_kwargs: {\n",
-            "    content: \"Task decomposition is a technique used to break down complex tasks into smaller and more manageable \"... 278 more characters,\n",
-            "    additional_kwargs: { function_call: undefined, tool_calls: undefined }\n",
-            "  },\n",
-            "  lc_namespace: [ \"langchain_core\", \"messages\" ],\n",
-            "  content: \"Task decomposition is a technique used to break down complex tasks into smaller and more manageable \"... 278 more characters,\n",
-            "  name: undefined,\n",
-            "  additional_kwargs: { function_call: undefined, tool_calls: undefined }\n",
-            "}\n"
-          ]
-        },
-        {
-          "data": {
-            "text/plain": [
-              "AIMessage {\n",
-              "  lc_serializable: \u001b[33mtrue\u001b[39m,\n",
-              "  lc_kwargs: {\n",
-              "    content: \u001b[32m\"Common ways of task decomposition include using prompting techniques like Chain of Thought (CoT) or \"\u001b[39m... 332 more characters,\n",
-              "    additional_kwargs: { function_call: \u001b[90mundefined\u001b[39m, tool_calls: \u001b[90mundefined\u001b[39m }\n",
-              "  },\n",
-              "  lc_namespace: [ \u001b[32m\"langchain_core\"\u001b[39m, \u001b[32m\"messages\"\u001b[39m ],\n",
-              "  content: \u001b[32m\"Common ways of task decomposition include using prompting techniques like Chain of Thought (CoT) or \"\u001b[39m... 332 more characters,\n",
-              "  name: \u001b[90mundefined\u001b[39m,\n",
-              "  additional_kwargs: { function_call: \u001b[90mundefined\u001b[39m, tool_calls: \u001b[90mundefined\u001b[39m }\n",
-              "}"
-            ]
-          },
-          "execution_count": 10,
-          "metadata": {},
-          "output_type": "execute_result"
-        }
-      ],
-      "source": [
-        "let chat_history = [];\n",
-        "\n",
-        "const question = \"What is task decomposition?\";\n",
-        "const aiMsg = await ragChain.invoke({ question, chat_history });\n",
-        "console.log(aiMsg)\n",
-        "chat_history = chat_history.concat(aiMsg);\n",
-        "\n",
-        "const secondQuestion = \"What are common ways of doing it?\";\n",
-        "await ragChain.invoke({ question: secondQuestion, chat_history });"
-      ]
-    },
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{\n",
+      "  agent: {\n",
+      "    messages: [\n",
+      "      AIMessage {\n",
+      "        \"id\": \"chatcmpl-ABABtUmgD1ZlOHZd0nD9TR8yb3mMe\",\n",
+      "        \"content\": \"\",\n",
+      "        \"additional_kwargs\": {\n",
+      "          \"tool_calls\": [\n",
+      "            {\n",
+      "              \"id\": \"call_dWxEY41mg9VSLamVYHltsUxL\",\n",
+      "              \"type\": \"function\",\n",
+      "              \"function\": \"[Object]\"\n",
+      "            }\n",
+      "          ]\n",
+      "        },\n",
+      "        \"response_metadata\": {\n",
+      "          \"tokenUsage\": {\n",
+      "            \"completionTokens\": 19,\n",
+      "            \"promptTokens\": 66,\n",
+      "            \"totalTokens\": 85\n",
+      "          },\n",
+      "          \"finish_reason\": \"tool_calls\",\n",
+      "          \"system_fingerprint\": \"fp_3537616b13\"\n",
+      "        },\n",
+      "        \"tool_calls\": [\n",
+      "          {\n",
+      "            \"name\": \"blog_post_retriever\",\n",
+      "            \"args\": {\n",
+      "              \"query\": \"Task Decomposition\"\n",
+      "            },\n",
+      "            \"type\": \"tool_call\",\n",
+      "            \"id\": \"call_dWxEY41mg9VSLamVYHltsUxL\"\n",
+      "          }\n",
+      "        ],\n",
+      "        \"invalid_tool_calls\": [],\n",
+      "        \"usage_metadata\": {\n",
+      "          \"input_tokens\": 66,\n",
+      "          \"output_tokens\": 19,\n",
+      "          \"total_tokens\": 85\n",
+      "        }\n",
+      "      }\n",
+      "    ]\n",
+      "  }\n",
+      "}\n",
+      "----\n",
+      "{\n",
+      "  tools: {\n",
+      "    messages: [\n",
+      "      ToolMessage {\n",
+      "        \"content\": \"Fig. 1. Overview of a LLM-powered autonomous agent system.\\nComponent One: Planning#\\nA complicated task usually involves many steps. An agent needs to know what they are and plan ahead.\\nTask Decomposition#\\nChain of thought (CoT; Wei et al. 2022) has become a standard prompting technique for enhancing model performance on complex tasks. The model is instructed to “think step by step” to utilize more test-time computation to decompose hard tasks into smaller and simpler steps. CoT transforms big tasks into multiple manageable tasks and shed lights into an interpretation of the model’s thinking process.\\nTree of Thoughts (Yao et al. 2023) extends CoT by exploring multiple reasoning possibilities at each step. It first decomposes the problem into multiple thought steps and generates multiple thoughts per step, creating a tree structure. The search process can be BFS (breadth-first search) or DFS (depth-first search) with each state evaluated by a classifier (via a prompt) or majority vote.\\n\\nTask decomposition can be done (1) by LLM with simple prompting like \\\"Steps for XYZ.\\\\n1.\\\", \\\"What are the subgoals for achieving XYZ?\\\", (2) by using task-specific instructions; e.g. \\\"Write a story outline.\\\" for writing a novel, or (3) with human inputs.\\nAnother quite distinct approach, LLM+P (Liu et al. 2023), involves relying on an external classical planner to do long-horizon planning. This approach utilizes the Planning Domain Definition Language (PDDL) as an intermediate interface to describe the planning problem. In this process, LLM (1) translates the problem into “Problem PDDL”, then (2) requests a classical planner to generate a PDDL plan based on an existing “Domain PDDL”, and finally (3) translates the PDDL plan back into natural language. Essentially, the planning step is outsourced to an external tool, assuming the availability of domain-specific PDDL and a suitable planner which is common in certain robotic setups but not in many other domains.\\nSelf-Reflection#\\n\\n(3) Task execution: Expert models execute on the specific tasks and log results.\\nInstruction:\\n\\nWith the input and the inference results, the AI assistant needs to describe the process and results. The previous stages can be formed as - User Input: {{ User Input }}, Task Planning: {{ Tasks }}, Model Selection: {{ Model Assignment }}, Task Execution: {{ Predictions }}. You must first answer the user's request in a straightforward manner. Then describe the task process and show your analysis and model inference results to the user in the first person. If inference results contain a file path, must tell the user the complete file path.\\n\\nPlanning\\n\\nSubgoal and decomposition: The agent breaks down large tasks into smaller, manageable subgoals, enabling efficient handling of complex tasks.\\nReflection and refinement: The agent can do self-criticism and self-reflection over past actions, learn from mistakes and refine them for future steps, thereby improving the quality of final results.\\n\\n\\nMemory\\n\\nShort-term memory: I would consider all the in-context learning (See Prompt Engineering) as utilizing short-term memory of the model to learn.\\nLong-term memory: This provides the agent with the capability to retain and recall (infinite) information over extended periods, often by leveraging an external vector store and fast retrieval.\\n\\n\\nTool use\\n\\nThe agent learns to call external APIs for extra information that is missing from the model weights (often hard to change after pre-training), including current information, code execution capability, access to proprietary information sources and more.\",\n",
+      "        \"name\": \"blog_post_retriever\",\n",
+      "        \"additional_kwargs\": {},\n",
+      "        \"response_metadata\": {},\n",
+      "        \"tool_call_id\": \"call_dWxEY41mg9VSLamVYHltsUxL\"\n",
+      "      }\n",
+      "    ]\n",
+      "  }\n",
+      "}\n",
+      "----\n",
+      "{\n",
+      "  agent: {\n",
+      "    messages: [\n",
+      "      AIMessage {\n",
+      "        \"id\": \"chatcmpl-ABABuSj5FHmHFdeR2Pv7Cxcmq5aQz\",\n",
+      "        \"content\": \"Task Decomposition is a technique that allows an agent to break down a complex task into smaller, more manageable subtasks or steps. The primary goal is to simplify the task to ensure efficient execution and better understanding. \\n\\n### Methods in Task Decomposition:\\n1. **Chain of Thought (CoT)**:\\n    - **Description**: This technique involves instructing the model to “think step by step” to decompose hard tasks into smaller ones. It transforms large tasks into multiple manageable tasks, enhancing the model's performance and providing insight into its thinking process. \\n    - **Example**: When given a complex problem, the model outlines sequential steps to reach a solution.\\n\\n2. **Tree of Thoughts**:\\n    - **Description**: This extends CoT by exploring multiple reasoning possibilities at each step. The problem is decomposed into multiple thought steps, with several thoughts generated per step, forming a sort of decision tree.\\n    - **Example**: For a given task, the model might consider various alternative actions at each stage, evaluating each before proceeding.\\n\\n3. **LLM with Prompts**:\\n    - **Description**: Basic task decomposition can be done via simple prompts like \\\"Steps for XYZ\\\" or \\\"What are the subgoals for achieving XYZ?\\\" This can also be guided by task-specific instructions or human inputs when necessary.\\n    - **Example**: Asking the model to list the subgoals for writing a novel might produce an outline broken down into chapters, character development, and plot points.\\n\\n4. **LLM+P**:\\n    - **Description**: This approach involves outsourcing long-term planning to an external classical planner using Planning Domain Definition Language (PDDL). The task is translated into a PDDL problem by the model, planned using classical planning tools, and then translated back into natural language.\\n    - **Example**: In robotics, translating a task into PDDL and then using a domain-specific planner to generate a sequence of actions.\\n\\n### Applications:\\n- **Planning**: Helps an agent plan tasks by breaking them into clear, manageable steps.\\n- **Self-Reflection**: Allows agents to reflect and refine their actions, learning from past mistakes to improve future performance.\\n- **Memory**: Utilizes short-term memory for immediate context and long-term memory for retaining and recalling information over extended periods.\\n- **Tool Use**: Enables the agent to call external APIs for additional information or capabilities not inherent in the model.\\n\\nIn essence, task decomposition leverages various methodologies to simplify complex tasks, ensuring better performance, improved reasoning, and effective task execution.\",\n",
+      "        \"additional_kwargs\": {},\n",
+      "        \"response_metadata\": {\n",
+      "          \"tokenUsage\": {\n",
+      "            \"completionTokens\": 522,\n",
+      "            \"promptTokens\": 821,\n",
+      "            \"totalTokens\": 1343\n",
+      "          },\n",
+      "          \"finish_reason\": \"stop\",\n",
+      "          \"system_fingerprint\": \"fp_e375328146\"\n",
+      "        },\n",
+      "        \"tool_calls\": [],\n",
+      "        \"invalid_tool_calls\": [],\n",
+      "        \"usage_metadata\": {\n",
+      "          \"input_tokens\": 821,\n",
+      "          \"output_tokens\": 522,\n",
+      "          \"total_tokens\": 1343\n",
+      "        }\n",
+      "      }\n",
+      "    ]\n",
+      "  }\n",
+      "}\n",
+      "----\n"
+     ]
+    }
+   ],
+   "source": [
+    "const query = \"What is Task Decomposition?\";\n",
+    "\n",
+    "for await (const s of await agentExecutor.stream(\n",
+    "  { messages: [new HumanMessage(query)] }\n",
+    ")) {\n",
+    "  console.log(s);\n",
+    "  console.log(\"----\");\n",
+    "}"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1df703b1-aad6-48fb-b6fa-703e32ea88b9",
+   "metadata": {},
+   "source": [
+    "LangGraph comes with built in persistence, so we don't need to use ChatMessageHistory! Rather, we can pass in a checkpointer to our LangGraph agent directly"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "id": "04a3a664-3c3f-4cd1-9995-26662a52da7c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import { MemorySaver } from \"@langchain/langgraph\";\n",
+    "\n",
+    "const memory = new MemorySaver();\n",
+    "\n",
+    "const agentExecutorWithMemory = createReactAgent({ llm, tools, checkpointSaver: memory });"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "02026f78-338e-4d18-9f05-131e1dd59197",
+   "metadata": {},
+   "source": [
+    "This is all we need to construct a conversational RAG agent.\n",
+    "\n",
+    "Let's observe its behavior. Note that if we input a query that does not require a retrieval step, the agent does not execute one:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "id": "d6d70833-b958-4cd7-9e27-29c1c08bb1b8",
+   "metadata": {},
+   "outputs": [
     {
-      "cell_type": "markdown",
-      "metadata": {},
-      "source": [
-        "See the first [LastSmith trace here](https://smith.langchain.com/public/527981c6-5018-4b68-a11a-ebcde77843e7/r) and the [second trace here](https://smith.langchain.com/public/7b97994a-ab9f-4bf3-a2e4-abb609e5610a/r)"
-      ]
-    },
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{\n",
+      "  agent: {\n",
+      "    messages: [\n",
+      "      AIMessage {\n",
+      "        \"id\": \"chatcmpl-ABACGc1vDPUSHYN7YVkuUMwpKR20P\",\n",
+      "        \"content\": \"Hello, Bob! How can I assist you today?\",\n",
+      "        \"additional_kwargs\": {},\n",
+      "        \"response_metadata\": {\n",
+      "          \"tokenUsage\": {\n",
+      "            \"completionTokens\": 12,\n",
+      "            \"promptTokens\": 64,\n",
+      "            \"totalTokens\": 76\n",
+      "          },\n",
+      "          \"finish_reason\": \"stop\",\n",
+      "          \"system_fingerprint\": \"fp_e375328146\"\n",
+      "        },\n",
+      "        \"tool_calls\": [],\n",
+      "        \"invalid_tool_calls\": [],\n",
+      "        \"usage_metadata\": {\n",
+      "          \"input_tokens\": 64,\n",
+      "          \"output_tokens\": 12,\n",
+      "          \"total_tokens\": 76\n",
+      "        }\n",
+      "      }\n",
+      "    ]\n",
+      "  }\n",
+      "}\n",
+      "----\n"
+     ]
+    }
+   ],
+   "source": [
+    "const config = { configurable: { thread_id: \"abc123\" } };\n",
+    "\n",
+    "for await (const s of await agentExecutorWithMemory.stream(\n",
+    "  { messages: [new HumanMessage(\"Hi! I'm bob\")] },\n",
+    "  config\n",
+    ")) {\n",
+    "  console.log(s);\n",
+    "  console.log(\"----\");\n",
+    "}"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a7928865-3dd6-4d36-abc6-2a30de770d09",
+   "metadata": {},
+   "source": [
+    "Further, if we input a query that does require a retrieval step, the agent generates the input to the tool:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "id": "e2c570ae-dd91-402c-8693-ae746de63b16",
+   "metadata": {},
+   "outputs": [
     {
-      "cell_type": "markdown",
-      "metadata": {},
-      "source": [
-        "Here we've gone over how to add application logic for incorporating historical outputs, but we're still manually updating the chat history and inserting it into each input. In a real Q&A application we'll want some way of persisting chat history and some way of automatically inserting and updating it.\n",
-        "\n",
-        "For this we can use:\n",
-        "\n",
-        "- [BaseChatMessageHistory](https://api.js.langchain.com/classes/langchain_core.chat_history.BaseChatMessageHistory.html): Store chat history.\n",
-        "- [RunnableWithMessageHistory](/docs/how_to/message_history/): Wrapper for an LCEL chain and a `BaseChatMessageHistory` that handles injecting chat history into inputs and updating it after each invocation.\n",
-        "\n",
-        "For a detailed walkthrough of how to use these classes together to create a stateful conversational chain, head to the [How to add message history (memory)](/docs/how_to/message_history/) LCEL page."
-      ]
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{\n",
+      "  agent: {\n",
+      "    messages: [\n",
+      "      AIMessage {\n",
+      "        \"id\": \"chatcmpl-ABACI6WN7hkfJjFhIUBGt3TswtPOv\",\n",
+      "        \"content\": \"\",\n",
+      "        \"additional_kwargs\": {\n",
+      "          \"tool_calls\": [\n",
+      "            {\n",
+      "              \"id\": \"call_Lys2G4TbOMJ6RBuVvKnFSK4V\",\n",
+      "              \"type\": \"function\",\n",
+      "              \"function\": \"[Object]\"\n",
+      "            }\n",
+      "          ]\n",
+      "        },\n",
+      "        \"response_metadata\": {\n",
+      "          \"tokenUsage\": {\n",
+      "            \"completionTokens\": 19,\n",
+      "            \"promptTokens\": 89,\n",
+      "            \"totalTokens\": 108\n",
+      "          },\n",
+      "          \"finish_reason\": \"tool_calls\",\n",
+      "          \"system_fingerprint\": \"fp_f82f5b050c\"\n",
+      "        },\n",
+      "        \"tool_calls\": [\n",
+      "          {\n",
+      "            \"name\": \"blog_post_retriever\",\n",
+      "            \"args\": {\n",
+      "              \"query\": \"Task Decomposition\"\n",
+      "            },\n",
+      "            \"type\": \"tool_call\",\n",
+      "            \"id\": \"call_Lys2G4TbOMJ6RBuVvKnFSK4V\"\n",
+      "          }\n",
+      "        ],\n",
+      "        \"invalid_tool_calls\": [],\n",
+      "        \"usage_metadata\": {\n",
+      "          \"input_tokens\": 89,\n",
+      "          \"output_tokens\": 19,\n",
+      "          \"total_tokens\": 108\n",
+      "        }\n",
+      "      }\n",
+      "    ]\n",
+      "  }\n",
+      "}\n",
+      "----\n",
+      "{\n",
+      "  tools: {\n",
+      "    messages: [\n",
+      "      ToolMessage {\n",
+      "        \"content\": \"Fig. 1. Overview of a LLM-powered autonomous agent system.\\nComponent One: Planning#\\nA complicated task usually involves many steps. An agent needs to know what they are and plan ahead.\\nTask Decomposition#\\nChain of thought (CoT; Wei et al. 2022) has become a standard prompting technique for enhancing model performance on complex tasks. The model is instructed to “think step by step” to utilize more test-time computation to decompose hard tasks into smaller and simpler steps. CoT transforms big tasks into multiple manageable tasks and shed lights into an interpretation of the model’s thinking process.\\nTree of Thoughts (Yao et al. 2023) extends CoT by exploring multiple reasoning possibilities at each step. It first decomposes the problem into multiple thought steps and generates multiple thoughts per step, creating a tree structure. The search process can be BFS (breadth-first search) or DFS (depth-first search) with each state evaluated by a classifier (via a prompt) or majority vote.\\n\\nTask decomposition can be done (1) by LLM with simple prompting like \\\"Steps for XYZ.\\\\n1.\\\", \\\"What are the subgoals for achieving XYZ?\\\", (2) by using task-specific instructions; e.g. \\\"Write a story outline.\\\" for writing a novel, or (3) with human inputs.\\nAnother quite distinct approach, LLM+P (Liu et al. 2023), involves relying on an external classical planner to do long-horizon planning. This approach utilizes the Planning Domain Definition Language (PDDL) as an intermediate interface to describe the planning problem. In this process, LLM (1) translates the problem into “Problem PDDL”, then (2) requests a classical planner to generate a PDDL plan based on an existing “Domain PDDL”, and finally (3) translates the PDDL plan back into natural language. Essentially, the planning step is outsourced to an external tool, assuming the availability of domain-specific PDDL and a suitable planner which is common in certain robotic setups but not in many other domains.\\nSelf-Reflection#\\n\\n(3) Task execution: Expert models execute on the specific tasks and log results.\\nInstruction:\\n\\nWith the input and the inference results, the AI assistant needs to describe the process and results. The previous stages can be formed as - User Input: {{ User Input }}, Task Planning: {{ Tasks }}, Model Selection: {{ Model Assignment }}, Task Execution: {{ Predictions }}. You must first answer the user's request in a straightforward manner. Then describe the task process and show your analysis and model inference results to the user in the first person. If inference results contain a file path, must tell the user the complete file path.\\n\\nPlanning\\n\\nSubgoal and decomposition: The agent breaks down large tasks into smaller, manageable subgoals, enabling efficient handling of complex tasks.\\nReflection and refinement: The agent can do self-criticism and self-reflection over past actions, learn from mistakes and refine them for future steps, thereby improving the quality of final results.\\n\\n\\nMemory\\n\\nShort-term memory: I would consider all the in-context learning (See Prompt Engineering) as utilizing short-term memory of the model to learn.\\nLong-term memory: This provides the agent with the capability to retain and recall (infinite) information over extended periods, often by leveraging an external vector store and fast retrieval.\\n\\n\\nTool use\\n\\nThe agent learns to call external APIs for extra information that is missing from the model weights (often hard to change after pre-training), including current information, code execution capability, access to proprietary information sources and more.\",\n",
+      "        \"name\": \"blog_post_retriever\",\n",
+      "        \"additional_kwargs\": {},\n",
+      "        \"response_metadata\": {},\n",
+      "        \"tool_call_id\": \"call_Lys2G4TbOMJ6RBuVvKnFSK4V\"\n",
+      "      }\n",
+      "    ]\n",
+      "  }\n",
+      "}\n",
+      "----\n",
+      "{\n",
+      "  agent: {\n",
+      "    messages: [\n",
+      "      AIMessage {\n",
+      "        \"id\": \"chatcmpl-ABACJu56eYSAyyMNaV9UEUwHS8vRu\",\n",
+      "        \"content\": \"Task Decomposition is a method used to break down complicated tasks into smaller, more manageable steps. This approach leverages the \\\"Chain of Thought\\\" (CoT) technique, which prompts models to \\\"think step by step\\\" to enhance performance on complex tasks. Here’s a summary of the key concepts related to Task Decomposition:\\n\\n1. **Chain of Thought (CoT):**\\n   - A prompting technique that encourages models to decompose hard tasks into simpler steps, transforming big tasks into multiple manageable sub-tasks.\\n   - CoT helps to provide insights into the model’s thinking process.\\n\\n2. **Tree of Thoughts:**\\n   - An extension of CoT, this approach explores multiple reasoning paths at each step.\\n   - It creates a tree structure by generating multiple thoughts per step, and uses search methods like breadth-first search (BFS) or depth-first search (DFS) to explore these thoughts.\\n   - Each state is evaluated by a classifier or majority vote.\\n\\n3. **Methods for Task Decomposition:**\\n   - Simple prompting such as instructing with phrases like \\\"Steps for XYZ: 1., 2., 3.\\\" or \\\"What are the subgoals for achieving XYZ?\\\".\\n   - Using task-specific instructions like \\\"Write a story outline\\\" for specific tasks such as writing a novel.\\n   - Incorporating human inputs for better granularity.\\n\\n4. **LLM+P (Long-horizon Planning):**\\n   - A method that involves using an external classical planner for long-horizon planning.\\n   - The process involves translating the problem into a Planning Domain Definition Language (PDDL) problem, using a classical planner to generate a PDDL plan, and then translating it back into natural language.\\n\\nTask Decomposition is essential in planning complex tasks, allowing for efficient handling by breaking them into sub-tasks and sub-goals. This process is integral to the functioning of autonomous agent systems and enhances their capability to execute intricate tasks effectively.\",\n",
+      "        \"additional_kwargs\": {},\n",
+      "        \"response_metadata\": {\n",
+      "          \"tokenUsage\": {\n",
+      "            \"completionTokens\": 396,\n",
+      "            \"promptTokens\": 844,\n",
+      "            \"totalTokens\": 1240\n",
+      "          },\n",
+      "          \"finish_reason\": \"stop\",\n",
+      "          \"system_fingerprint\": \"fp_9f2bfdaa89\"\n",
+      "        },\n",
+      "        \"tool_calls\": [],\n",
+      "        \"invalid_tool_calls\": [],\n",
+      "        \"usage_metadata\": {\n",
+      "          \"input_tokens\": 844,\n",
+      "          \"output_tokens\": 396,\n",
+      "          \"total_tokens\": 1240\n",
+      "        }\n",
+      "      }\n",
+      "    ]\n",
+      "  }\n",
+      "}\n",
+      "----\n"
+     ]
     }
-  ],
-  "metadata": {
-    "kernelspec": {
-      "display_name": "Deno",
-      "language": "typescript",
-      "name": "deno"
-    },
-    "language_info": {
-      "file_extension": ".ts",
-      "mimetype": "text/x.typescript",
-      "name": "typescript",
-      "nb_converter": "script",
-      "pygments_lexer": "typescript",
-      "version": "5.3.3"
+   ],
+   "source": [
+    "for await (const s of await agentExecutorWithMemory.stream(\n",
+    "  { messages: [new HumanMessage(query)] },\n",
+    "  config\n",
+    ")) {\n",
+    "  console.log(s);\n",
+    "  console.log(\"----\");\n",
+    "}"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "26eaae33-3c4e-49fc-9fc6-db8967e25579",
+   "metadata": {},
+   "source": [
+    "Above, instead of inserting our query verbatim into the tool, the agent stripped unnecessary words like \"what\" and \"is\".\n",
+    "\n",
+    "This same principle allows the agent to use the context of the conversation when necessary:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "id": "570d8c68-136e-4ba5-969a-03ba195f6118",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{\n",
+      "  agent: {\n",
+      "    messages: [\n",
+      "      AIMessage {\n",
+      "        \"id\": \"chatcmpl-ABACPZzSugzrREQRO4mVQfI3cQOeL\",\n",
+      "        \"content\": \"\",\n",
+      "        \"additional_kwargs\": {\n",
+      "          \"tool_calls\": [\n",
+      "            {\n",
+      "              \"id\": \"call_5nSZb396Tcg73Pok6Bx1XV8b\",\n",
+      "              \"type\": \"function\",\n",
+      "              \"function\": \"[Object]\"\n",
+      "            }\n",
+      "          ]\n",
+      "        },\n",
+      "        \"response_metadata\": {\n",
+      "          \"tokenUsage\": {\n",
+      "            \"completionTokens\": 22,\n",
+      "            \"promptTokens\": 1263,\n",
+      "            \"totalTokens\": 1285\n",
+      "          },\n",
+      "          \"finish_reason\": \"tool_calls\",\n",
+      "          \"system_fingerprint\": \"fp_9f2bfdaa89\"\n",
+      "        },\n",
+      "        \"tool_calls\": [\n",
+      "          {\n",
+      "            \"name\": \"blog_post_retriever\",\n",
+      "            \"args\": {\n",
+      "              \"query\": \"common ways of doing task decomposition\"\n",
+      "            },\n",
+      "            \"type\": \"tool_call\",\n",
+      "            \"id\": \"call_5nSZb396Tcg73Pok6Bx1XV8b\"\n",
+      "          }\n",
+      "        ],\n",
+      "        \"invalid_tool_calls\": [],\n",
+      "        \"usage_metadata\": {\n",
+      "          \"input_tokens\": 1263,\n",
+      "          \"output_tokens\": 22,\n",
+      "          \"total_tokens\": 1285\n",
+      "        }\n",
+      "      }\n",
+      "    ]\n",
+      "  }\n",
+      "}\n",
+      "----\n",
+      "{\n",
+      "  tools: {\n",
+      "    messages: [\n",
+      "      ToolMessage {\n",
+      "        \"content\": \"Fig. 1. Overview of a LLM-powered autonomous agent system.\\nComponent One: Planning#\\nA complicated task usually involves many steps. An agent needs to know what they are and plan ahead.\\nTask Decomposition#\\nChain of thought (CoT; Wei et al. 2022) has become a standard prompting technique for enhancing model performance on complex tasks. The model is instructed to “think step by step” to utilize more test-time computation to decompose hard tasks into smaller and simpler steps. CoT transforms big tasks into multiple manageable tasks and shed lights into an interpretation of the model’s thinking process.\\nTree of Thoughts (Yao et al. 2023) extends CoT by exploring multiple reasoning possibilities at each step. It first decomposes the problem into multiple thought steps and generates multiple thoughts per step, creating a tree structure. The search process can be BFS (breadth-first search) or DFS (depth-first search) with each state evaluated by a classifier (via a prompt) or majority vote.\\n\\nTask decomposition can be done (1) by LLM with simple prompting like \\\"Steps for XYZ.\\\\n1.\\\", \\\"What are the subgoals for achieving XYZ?\\\", (2) by using task-specific instructions; e.g. \\\"Write a story outline.\\\" for writing a novel, or (3) with human inputs.\\nAnother quite distinct approach, LLM+P (Liu et al. 2023), involves relying on an external classical planner to do long-horizon planning. This approach utilizes the Planning Domain Definition Language (PDDL) as an intermediate interface to describe the planning problem. In this process, LLM (1) translates the problem into “Problem PDDL”, then (2) requests a classical planner to generate a PDDL plan based on an existing “Domain PDDL”, and finally (3) translates the PDDL plan back into natural language. Essentially, the planning step is outsourced to an external tool, assuming the availability of domain-specific PDDL and a suitable planner which is common in certain robotic setups but not in many other domains.\\nSelf-Reflection#\\n\\nPlanning\\n\\nSubgoal and decomposition: The agent breaks down large tasks into smaller, manageable subgoals, enabling efficient handling of complex tasks.\\nReflection and refinement: The agent can do self-criticism and self-reflection over past actions, learn from mistakes and refine them for future steps, thereby improving the quality of final results.\\n\\n\\nMemory\\n\\nShort-term memory: I would consider all the in-context learning (See Prompt Engineering) as utilizing short-term memory of the model to learn.\\nLong-term memory: This provides the agent with the capability to retain and recall (infinite) information over extended periods, often by leveraging an external vector store and fast retrieval.\\n\\n\\nTool use\\n\\nThe agent learns to call external APIs for extra information that is missing from the model weights (often hard to change after pre-training), including current information, code execution capability, access to proprietary information sources and more.\\n\\nResources:\\n1. Internet access for searches and information gathering.\\n2. Long Term memory management.\\n3. GPT-3.5 powered Agents for delegation of simple tasks.\\n4. File output.\\n\\nPerformance Evaluation:\\n1. Continuously review and analyze your actions to ensure you are performing to the best of your abilities.\\n2. Constructively self-criticize your big-picture behavior constantly.\\n3. Reflect on past decisions and strategies to refine your approach.\\n4. Every command has a cost, so be smart and efficient. Aim to complete tasks in the least number of steps.\",\n",
+      "        \"name\": \"blog_post_retriever\",\n",
+      "        \"additional_kwargs\": {},\n",
+      "        \"response_metadata\": {},\n",
+      "        \"tool_call_id\": \"call_5nSZb396Tcg73Pok6Bx1XV8b\"\n",
+      "      }\n",
+      "    ]\n",
+      "  }\n",
+      "}\n",
+      "----\n",
+      "{\n",
+      "  agent: {\n",
+      "    messages: [\n",
+      "      AIMessage {\n",
+      "        \"id\": \"chatcmpl-ABACQt9pT5dKCTaGQpVawcmCCWdET\",\n",
+      "        \"content\": \"According to the blog post, common ways of performing Task Decomposition include:\\n\\n1. **Using Large Language Models (LLMs) with Simple Prompting:**\\n   - Providing clear and structured prompts such as \\\"Steps for XYZ: 1., 2., 3.\\\" or asking \\\"What are the subgoals for achieving XYZ?\\\"\\n   - This allows the model to break down the tasks step-by-step.\\n\\n2. **Task-Specific Instructions:**\\n   - Employing specific instructions tailored to the task at hand, for example, \\\"Write a story outline\\\" for writing a novel.\\n   - These instructions guide the model in decomposing the task appropriately.\\n\\n3. **Involving Human Inputs:**\\n   - Integrating insights and directives from humans to aid in the decomposition process.\\n   - This can ensure that the breakdown is comprehensive and accurately reflects the nuances of the task.\\n\\n4. **LLM+P Approach for Long-Horizon Planning:**\\n   - Utilizing an external classical planner by translating the problem into Planning Domain Definition Language (PDDL).\\n   - The process involves:\\n     1. Translating the problem into “Problem PDDL”.\\n     2. Requesting a classical planner to generate a PDDL plan based on an existing “Domain PDDL”.\\n     3. Translating the PDDL plan back into natural language.\\n\\nThese methods enable effective management and execution of complex tasks by transforming them into simpler, more manageable components.\",\n",
+      "        \"additional_kwargs\": {},\n",
+      "        \"response_metadata\": {\n",
+      "          \"tokenUsage\": {\n",
+      "            \"completionTokens\": 292,\n",
+      "            \"promptTokens\": 2010,\n",
+      "            \"totalTokens\": 2302\n",
+      "          },\n",
+      "          \"finish_reason\": \"stop\",\n",
+      "          \"system_fingerprint\": \"fp_9f2bfdaa89\"\n",
+      "        },\n",
+      "        \"tool_calls\": [],\n",
+      "        \"invalid_tool_calls\": [],\n",
+      "        \"usage_metadata\": {\n",
+      "          \"input_tokens\": 2010,\n",
+      "          \"output_tokens\": 292,\n",
+      "          \"total_tokens\": 2302\n",
+      "        }\n",
+      "      }\n",
+      "    ]\n",
+      "  }\n",
+      "}\n",
+      "----\n"
+     ]
     }
+   ],
+   "source": [
+    "const query3 = \"What according to the blog post are common ways of doing it? redo the search\";\n",
+    "\n",
+    "for await (const s of await agentExecutorWithMemory.stream(\n",
+    "  { messages: [new HumanMessage(query3)] },\n",
+    "  config\n",
+    ")) {\n",
+    "  console.log(s);\n",
+    "  console.log(\"----\");\n",
+    "}"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f2724616-c106-4e15-a61a-3077c535f692",
+   "metadata": {},
+   "source": [
+    "Note that the agent was able to infer that \"it\" in our query refers to \"task decomposition\", and generated a reasonable search query as a result-- in this case, \"common ways of task decomposition\"."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1cf87847-23bb-4672-b41c-12ad9cf81ed4",
+   "metadata": {},
+   "source": [
+    "### Tying it together\n",
+    "\n",
+    "For convenience, we tie together all of the necessary steps in a single code cell:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "id": "b1d2b4d4-e604-497d-873d-d345b808578e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import { ChatOpenAI } from \"@langchain/openai\";\n",
+    "import { MemorySaver } from \"@langchain/langgraph\";\n",
+    "import { createReactAgent } from \"@langchain/langgraph/prebuilt\";\n",
+    "import { CheerioWebBaseLoader } from \"@langchain/community/document_loaders/web/cheerio\";\n",
+    "import { RecursiveCharacterTextSplitter } from \"langchain/text_splitter\";\n",
+    "import { MemoryVectorStore } from \"langchain/vectorstores/memory\";\n",
+    "import { createRetrieverTool } from \"langchain/tools/retriever\";\n",
+    "\n",
+    "const memory3 = new MemorySaver();\n",
+    "const llm3 = new ChatOpenAI({ model: \"gpt-4o\", temperature: 0 });\n",
+    "\n",
+    "// Construct retriever\n",
+    "const loader3 = new CheerioWebBaseLoader(\n",
+    "  \"https://lilianweng.github.io/posts/2023-06-23-agent/\",\n",
+    "  {\n",
+    "    selector: \".post-content, .post-title, .post-header\"\n",
+    "  }\n",
+    ");\n",
+    "\n",
+    "const docs3 = await loader3.load();\n",
+    "\n",
+    "const textSplitter3 = new RecursiveCharacterTextSplitter({ chunkSize: 1000, chunkOverlap: 200 });\n",
+    "const splits3 = await textSplitter3.splitDocuments(docs3);\n",
+    "const vectorstore3 = await MemoryVectorStore.fromDocuments(splits3, new OpenAIEmbeddings());\n",
+    "const retriever3 = vectorstore3.asRetriever();\n",
+    "\n",
+    "// Build retriever tool\n",
+    "const tool3 = createRetrieverTool(\n",
+    "  retriever3,\n",
+    "  {\n",
+    "    name: \"blog_post_retriever\",\n",
+    "    description: \"Searches and returns excerpts from the Autonomous Agents blog post.\",\n",
+    "  }\n",
+    ");\n",
+    "const tools3 = [tool3];\n",
+    "\n",
+    "const agentExecutor3 = createReactAgent({ llm: llm3, tools: tools3, checkpointSaver: memory3 });"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "cd6bf4f4-74f4-419d-9e26-f0ed83cf05fa",
+   "metadata": {},
+   "source": [
+    "## Next steps\n",
+    "\n",
+    "We've covered the steps to build a basic conversational Q&A application:\n",
+    "\n",
+    "- We used chains to build a predictable application that generates search queries for each user input;\n",
+    "- We used agents to build an application that \"decides\" when and how to generate search queries.\n",
+    "\n",
+    "To explore different types of retrievers and retrieval strategies, visit the [retrievers](/docs/how_to/#retrievers) section of the how-to guides.\n",
+    "\n",
+    "For a detailed walkthrough of LangChain's conversation memory abstractions, visit the [How to add message history (memory)](/docs/how_to/message_history) LCEL page."
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "TypeScript",
+   "language": "typescript",
+   "name": "tslab"
   },
-  "nbformat": 4,
-  "nbformat_minor": 2
+  "language_info": {
+   "codemirror_mode": {
+    "mode": "typescript",
+    "name": "javascript",
+    "typescript": true
+   },
+   "file_extension": ".ts",
+   "mimetype": "text/typescript",
+   "name": "typescript",
+   "version": "3.7.2"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
 }
diff --git a/docs/core_docs/docs/versions/migrating_memory/chat_history.ipynb b/docs/core_docs/docs/versions/migrating_memory/chat_history.ipynb
new file mode 100644
index 000000000000..927aec36ad0c
--- /dev/null
+++ b/docs/core_docs/docs/versions/migrating_memory/chat_history.ipynb
@@ -0,0 +1,268 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "c298a5c9-b9af-481d-9eba-cbd65f987a8a",
+   "metadata": {},
+   "source": [
+    "# How to use BaseChatMessageHistory with LangGraph\n",
+    "\n",
+    ":::info Prerequisites\n",
+    "\n",
+    "This guide assumes familiarity with the following concepts:\n",
+    "\n",
+    "- [Chat History](/docs/concepts/#chat-history)\n",
+    "- [RunnableWithMessageHistory](https://api.js.langchain.com/classes/_langchain_core.runnables.RunnableWithMessageHistory.html)\n",
+    "- [LangGraph](https://langchain-ai.github.io/langgraphjs/concepts/high_level/)\n",
+    "- [Memory](https://langchain-ai.github.io/langgraphjs/concepts/agentic_concepts/#memory)\n",
+    "\n",
+    ":::\n",
+    "\n",
+    "We recommend that new LangChain applications take advantage of the [built-in LangGraph peristence](https://langchain-ai.github.io/langgraph/concepts/persistence/) to implement memory.\n",
+    "\n",
+    "In some situations, users may need to keep using an existing persistence solution for chat message history.\n",
+    "\n",
+    "Here, we will show how to use [LangChain chat message histories](/docs/integrations/memory/) (implementations of [BaseChatMessageHistory](https://api.js.langchain.com/classes/_langchain_core.chat_history.BaseChatMessageHistory.html)) with LangGraph."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "548bc988-167b-43f1-860a-d247e28b2b42",
+   "metadata": {},
+   "source": [
+    "## Set up\n",
+    "\n",
+    "```typescript\n",
+    "process.env.ANTHROPIC_API_KEY = 'YOUR_API_KEY'\n",
+    "```\n",
+    "\n",
+    "```{=mdx}\n",
+    "import Npm2Yarn from \"@theme/Npm2Yarn\"\n",
+    "\n",
+    "<Npm2Yarn>\n",
+    "  @langchain/core @langchain/langgraph @langchain/anthropic\n",
+    "</Npm2Yarn>\n",
+    "```"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "id": "c5e08659-b68c-48f2-8b33-e79b0c6999e1",
+   "metadata": {},
+   "source": [
+    "## ChatMessageHistory\n",
+    "\n",
+    "A message history needs to be parameterized by a conversation ID or maybe by the 2-tuple of (user ID, conversation ID).\n",
+    "\n",
+    "Many of the [LangChain chat message histories](/docs/integrations/memory/) will have either a `sessionId` or some `namespace` to allow keeping track of different conversations. Please refer to the specific implementations to check how it is parameterized.\n",
+    "\n",
+    "The built-in `InMemoryChatMessageHistory` does not contains such a parameterization, so we'll create a dictionary to keep track of the message histories."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "28049308-2543-48e6-90d0-37a88951a637",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import { InMemoryChatMessageHistory } from \"@langchain/core/chat_history\";\n",
+    "\n",
+    "const chatsBySessionId: Record<string, InMemoryChatMessageHistory> = {}\n",
+    "\n",
+    "const getChatHistory = (sessionId: string) => {\n",
+    "    let chatHistory: InMemoryChatMessageHistory | undefined = chatsBySessionId[sessionId]\n",
+    "    if (!chatHistory) {\n",
+    "      chatHistory = new InMemoryChatMessageHistory()\n",
+    "      chatsBySessionId[sessionId] = chatHistory\n",
+    "    }\n",
+    "    return chatHistory\n",
+    "}"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "id": "94c53ce3-4212-41e6-8ad3-f0ab5df6130f",
+   "metadata": {},
+   "source": [
+    "## Use with LangGraph\n",
+    "\n",
+    "Next, we'll set up a basic chat bot using LangGraph. If you're not familiar with LangGraph, you should look at the following [Quick Start Tutorial](https://langchain-ai.github.io/langgraphjs/tutorials/quickstart/).\n",
+    "\n",
+    "We'll create a [LangGraph node](https://langchain-ai.github.io/langgraphjs/concepts/low_level/#nodes) for the chat model, and manually manage the conversation history, taking into account the conversation ID passed as part of the RunnableConfig.\n",
+    "\n",
+    "The conversation ID can be passed as either part of the RunnableConfig (as we'll do here), or as part of the [graph state](https://langchain-ai.github.io/langgraphjs/concepts/low_level/#state)."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "d818e23f",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "hi! I'm bob\n",
+      "Hello Bob! It's nice to meet you. How can I assist you today?\n",
+      "what was my name?\n",
+      "You said your name is Bob.\n"
+     ]
+    }
+   ],
+   "source": [
+    "import { v4 as uuidv4 } from \"uuid\";\n",
+    "import { ChatAnthropic } from \"@langchain/anthropic\";\n",
+    "import { StateGraph, MessagesAnnotation, END, START } from \"@langchain/langgraph\";\n",
+    "import { HumanMessage } from \"@langchain/core/messages\";\n",
+    "import { RunnableConfig } from \"@langchain/core/runnables\";\n",
+    "\n",
+    "// Define a chat model\n",
+    "const model = new ChatAnthropic({ modelName: \"claude-3-haiku-20240307\" });\n",
+    "\n",
+    "// Define the function that calls the model\n",
+    "const callModel = async (\n",
+    "  state: typeof MessagesAnnotation.State,\n",
+    "  config: RunnableConfig\n",
+    "): Promise<Partial<typeof MessagesAnnotation.State>> => {\n",
+    "  if (!config.configurable?.sessionId) {\n",
+    "    throw new Error(\n",
+    "      \"Make sure that the config includes the following information: {'configurable': {'sessionId': 'some_value'}}\"\n",
+    "    );\n",
+    "  }\n",
+    "\n",
+    "  const chatHistory = getChatHistory(config.configurable.sessionId as string);\n",
+    "\n",
+    "  let messages = [...(await chatHistory.getMessages()), ...state.messages];\n",
+    "\n",
+    "  if (state.messages.length === 1) {\n",
+    "    // First message, ensure it's in the chat history\n",
+    "    await chatHistory.addMessage(state.messages[0]);\n",
+    "  }\n",
+    "\n",
+    "  const aiMessage = await model.invoke(messages);\n",
+    "\n",
+    "  // Update the chat history\n",
+    "  await chatHistory.addMessage(aiMessage);\n",
+    "\n",
+    "  return { messages: [aiMessage] };\n",
+    "};\n",
+    "\n",
+    "// Define a new graph\n",
+    "const workflow = new StateGraph(MessagesAnnotation)\n",
+    "  .addNode(\"model\", callModel)\n",
+    "  .addEdge(START, \"model\")\n",
+    "  .addEdge(\"model\", END);\n",
+    "\n",
+    "const app = workflow.compile();\n",
+    "\n",
+    "// Create a unique session ID to identify the conversation\n",
+    "const sessionId = uuidv4();\n",
+    "const config = { configurable: { sessionId }, streamMode: \"values\" as const };\n",
+    "\n",
+    "const inputMessage = new HumanMessage(\"hi! I'm bob\");\n",
+    "\n",
+    "for await (const event of await app.stream({ messages: [inputMessage] }, config)) {\n",
+    "  const lastMessage = event.messages[event.messages.length - 1];\n",
+    "  console.log(lastMessage.content);\n",
+    "}\n",
+    "\n",
+    "// Here, let's confirm that the AI remembers our name!\n",
+    "const followUpMessage = new HumanMessage(\"what was my name?\");\n",
+    "\n",
+    "for await (const event of await app.stream({ messages: [followUpMessage] }, config)) {\n",
+    "  const lastMessage = event.messages[event.messages.length - 1];\n",
+    "  console.log(lastMessage.content);\n",
+    "}"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "id": "da0536dd-9a0b-49e3-b0b6-e8c7abf3b1f9",
+   "metadata": {},
+   "source": [
+    "## Using With RunnableWithMessageHistory\n",
+    "\n",
+    "This how-to guide used the `messages` and `addMessages` interface of `BaseChatMessageHistory` directly. \n",
+    "\n",
+    "Alternatively, you can use [RunnableWithMessageHistory](https://api.js.langchain.com/classes/_langchain_core.runnables.RunnableWithMessageHistory.html), as [LCEL](/docs/concepts/#langchain-expression-language-lcel/) can be used inside any [LangGraph node](https://langchain-ai.github.io/langgraphjs/concepts/low_level/#nodes).\n",
+    "\n",
+    "To do that replace the following code:\n",
+    "\n",
+    "```typescript\n",
+    "const callModel = async (\n",
+    "  state: typeof MessagesAnnotation.State,\n",
+    "  config: RunnableConfig\n",
+    "): Promise<Partial<typeof MessagesAnnotation.State>> => {\n",
+    "  // highlight-start\n",
+    "  if (!config.configurable?.sessionId) {\n",
+    "    throw new Error(\n",
+    "      \"Make sure that the config includes the following information: {'configurable': {'sessionId': 'some_value'}}\"\n",
+    "    );\n",
+    "  }\n",
+    "\n",
+    "  const chatHistory = getChatHistory(config.configurable.sessionId as string);\n",
+    "\n",
+    "  let messages = [...(await chatHistory.getMessages()), ...state.messages];\n",
+    "\n",
+    "  if (state.messages.length === 1) {\n",
+    "    // First message, ensure it's in the chat history\n",
+    "    await chatHistory.addMessage(state.messages[0]);\n",
+    "  }\n",
+    "\n",
+    "  const aiMessage = await model.invoke(messages);\n",
+    "\n",
+    "  // Update the chat history\n",
+    "  await chatHistory.addMessage(aiMessage);\n",
+    "  // highlight-end\n",
+    "  return { messages: [aiMessage] };\n",
+    "};\n",
+    "```\n",
+    "\n",
+    "With the corresponding instance of `RunnableWithMessageHistory` defined in your current application.\n",
+    "\n",
+    "```typescript\n",
+    "const runnable = new RunnableWithMessageHistory({\n",
+    "  // ... configuration from existing code\n",
+    "});\n",
+    "\n",
+    "const callModel = async (\n",
+    "  state: typeof MessagesAnnotation.State,\n",
+    "  config: RunnableConfig\n",
+    "): Promise<Partial<typeof MessagesAnnotation.State>> => {\n",
+    "  // RunnableWithMessageHistory takes care of reading the message history\n",
+    "  // and updating it with the new human message and AI response.\n",
+    "  const aiMessage = await runnable.invoke(state.messages, config);\n",
+    "  return {\n",
+    "    messages: [aiMessage]\n",
+    "  };\n",
+    "};\n",
+    "```"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "TypeScript",
+   "language": "typescript",
+   "name": "tslab"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "mode": "typescript",
+    "name": "javascript",
+    "typescript": true
+   },
+   "file_extension": ".ts",
+   "mimetype": "text/typescript",
+   "name": "typescript",
+   "version": "3.7.2"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/docs/core_docs/docs/versions/migrating_memory/conversation_buffer_window_memory.ipynb b/docs/core_docs/docs/versions/migrating_memory/conversation_buffer_window_memory.ipynb
new file mode 100644
index 000000000000..719cf9d1022e
--- /dev/null
+++ b/docs/core_docs/docs/versions/migrating_memory/conversation_buffer_window_memory.ipynb
@@ -0,0 +1,643 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "ce8457ed-c0b1-4a74-abbd-9d3d2211270f",
+   "metadata": {},
+   "source": [
+    "# Migrating off ConversationTokenBufferMemory\n",
+    "\n",
+    "Follow this guide if you're trying to migrate off one of the old memory classes listed below:\n",
+    "\n",
+    "\n",
+    "| Memory Type                      | Description                                                                                                                                                       |\n",
+    "|----------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n",
+    "| `ConversationTokenBufferMemory`  | Keeps only the most recent messages in the conversation under the constraint that the total number of tokens in the conversation does not exceed a certain limit. |\n",
+    "\n",
+    "`ConversationTokenBufferMemory` applies additional processing on top of the raw conversation history to trim the conversation history to a size that fits inside the context window of a chat model. \n",
+    "\n",
+    "This processing functionality can be accomplished using LangChain's built-in [trimMessages](https://api.js.langchain.com/functions/_langchain_core.messages.trimMessages.html) function."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "79935247-acc7-4a05-a387-5d72c9c8c8cb",
+   "metadata": {},
+   "source": [
+    "```{=mdx}\n",
+    ":::important\n",
+    "\n",
+    "We’ll begin by exploring a straightforward method that involves applying processing logic to the entire conversation history.\n",
+    "\n",
+    "While this approach is easy to implement, it has a downside: as the conversation grows, so does the latency, since the logic is re-applied to all previous exchanges in the conversation at each turn.\n",
+    "\n",
+    "More advanced strategies focus on incrementally updating the conversation history to avoid redundant processing.\n",
+    "\n",
+    "For instance, the LangGraph [how-to guide on summarization](https://langchain-ai.github.io/langgraphjs/how-tos/add-summary-conversation-history/) demonstrates\n",
+    "how to maintain a running summary of the conversation while discarding older messages, ensuring they aren't re-processed during later turns.\n",
+    ":::\n",
+    "```"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d07f9459-9fb6-4942-99c9-64558aedd7d4",
+   "metadata": {},
+   "source": [
+    "## Set up\n",
+    "\n",
+    "### Dependencies\n",
+    "\n",
+    "```{=mdx}\n",
+    "import Npm2Yarn from \"@theme/Npm2Yarn\"\n",
+    "\n",
+    "<Npm2Yarn>\n",
+    "  @langchain/openai @langchain/core zod\n",
+    "</Npm2Yarn>\n",
+    "```\n",
+    "\n",
+    "### Environment variables\n",
+    "\n",
+    "```typescript\n",
+    "process.env.OPENAI_API_KEY = \"YOUR_OPENAI_API_KEY\";\n",
+    "```\n",
+    "\n",
+    "```{=mdx}\n",
+    "<details open>\n",
+    "```"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7ce2d951",
+   "metadata": {},
+   "source": [
+    "## Reimplementing ConversationTokenBufferMemory logic\n",
+    "\n",
+    "Here, we'll use `trimMessages` to keeps the system message and the most recent messages in the conversation under the constraint that the total number of tokens in the conversation does not exceed a certain limit."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "e1550bee",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import {\n",
+    "  AIMessage,\n",
+    "  HumanMessage,\n",
+    "  SystemMessage,\n",
+    "} from \"@langchain/core/messages\";\n",
+    "\n",
+    "const messages = [\n",
+    "  new SystemMessage(\"you're a good assistant, you always respond with a joke.\"),\n",
+    "  new HumanMessage(\"i wonder why it's called langchain\"),\n",
+    "  new AIMessage(\n",
+    "    'Well, I guess they thought \"WordRope\" and \"SentenceString\" just didn\\'t have the same ring to it!'\n",
+    "  ),\n",
+    "  new HumanMessage(\"and who is harrison chasing anyways\"),\n",
+    "  new AIMessage(\n",
+    "      \"Hmmm let me think.\\n\\nWhy, he's probably chasing after the last cup of coffee in the office!\"\n",
+    "  ),\n",
+    "  new HumanMessage(\"why is 42 always the answer?\"),\n",
+    "  new AIMessage(\n",
+    "      \"Because it's the only number that's constantly right, even when it doesn't add up!\"\n",
+    "  ),\n",
+    "  new HumanMessage(\"What did the cow say?\"),\n",
+    "]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "6442f74b-2c36-48fd-a3d1-c7c5d18c050f",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "SystemMessage {\n",
+      "  \"content\": \"you're a good assistant, you always respond with a joke.\",\n",
+      "  \"additional_kwargs\": {},\n",
+      "  \"response_metadata\": {}\n",
+      "}\n",
+      "HumanMessage {\n",
+      "  \"content\": \"and who is harrison chasing anyways\",\n",
+      "  \"additional_kwargs\": {},\n",
+      "  \"response_metadata\": {}\n",
+      "}\n",
+      "AIMessage {\n",
+      "  \"content\": \"Hmmm let me think.\\n\\nWhy, he's probably chasing after the last cup of coffee in the office!\",\n",
+      "  \"additional_kwargs\": {},\n",
+      "  \"response_metadata\": {},\n",
+      "  \"tool_calls\": [],\n",
+      "  \"invalid_tool_calls\": []\n",
+      "}\n",
+      "HumanMessage {\n",
+      "  \"content\": \"why is 42 always the answer?\",\n",
+      "  \"additional_kwargs\": {},\n",
+      "  \"response_metadata\": {}\n",
+      "}\n",
+      "AIMessage {\n",
+      "  \"content\": \"Because it's the only number that's constantly right, even when it doesn't add up!\",\n",
+      "  \"additional_kwargs\": {},\n",
+      "  \"response_metadata\": {},\n",
+      "  \"tool_calls\": [],\n",
+      "  \"invalid_tool_calls\": []\n",
+      "}\n",
+      "HumanMessage {\n",
+      "  \"content\": \"What did the cow say?\",\n",
+      "  \"additional_kwargs\": {},\n",
+      "  \"response_metadata\": {}\n",
+      "}\n"
+     ]
+    }
+   ],
+   "source": [
+    "import { trimMessages } from \"@langchain/core/messages\";\n",
+    "import { ChatOpenAI } from \"@langchain/openai\";\n",
+    "\n",
+    "const selectedMessages = await trimMessages(\n",
+    "  messages,\n",
+    "  {\n",
+    "    // Please see API reference for trimMessages for other ways to specify a token counter.\n",
+    "    tokenCounter: new ChatOpenAI({ model: \"gpt-4o\" }),\n",
+    "    maxTokens: 80,  // <-- token limit\n",
+    "    // The startOn is specified\n",
+    "    // to make sure we do not generate a sequence where\n",
+    "    // a ToolMessage that contains the result of a tool invocation\n",
+    "    // appears before the AIMessage that requested a tool invocation\n",
+    "    // as this will cause some chat models to raise an error.\n",
+    "    startOn: \"human\",\n",
+    "    strategy: \"last\",\n",
+    "    includeSystem: true,  // <-- Keep the system message\n",
+    "  }\n",
+    ")\n",
+    "\n",
+    "for (const msg of selectedMessages) {\n",
+    "    console.log(msg);\n",
+    "}"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0f05d272-2d22-44b7-9fa6-e617a48584b4",
+   "metadata": {},
+   "source": [
+    "```{=mdx}\n",
+    "</details>\n",
+    "```\n",
+    "\n",
+    "## Modern usage with LangGraph\n",
+    "\n",
+    "The example below shows how to use LangGraph to add simple conversation pre-processing logic.\n",
+    "\n",
+    "```{=mdx}\n",
+    ":::note\n",
+    "\n",
+    "If you want to avoid running the computation on the entire conversation history each time, you can follow\n",
+    "the [how-to guide on summarization](https://langchain-ai.github.io/langgraphjs/how-tos/add-summary-conversation-history/) that demonstrates\n",
+    "how to discard older messages, ensuring they aren't re-processed during later turns.\n",
+    "\n",
+    ":::\n",
+    "```\n",
+    "\n",
+    "```{=mdx}\n",
+    "<details open>\n",
+    "```"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "05d360e0",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "hi! I'm bob\n",
+      "Hello, Bob! How can I assist you today?\n",
+      "what was my name?\n",
+      "You mentioned that your name is Bob. How can I help you today?\n"
+     ]
+    }
+   ],
+   "source": [
+    "import { v4 as uuidv4 } from 'uuid';\n",
+    "import { ChatOpenAI } from \"@langchain/openai\";\n",
+    "import { StateGraph, MessagesAnnotation, END, START, MemorySaver } from \"@langchain/langgraph\";\n",
+    "import { trimMessages } from \"@langchain/core/messages\";\n",
+    "\n",
+    "// Define a chat model\n",
+    "const model = new ChatOpenAI({ model: \"gpt-4o\" });\n",
+    "\n",
+    "// Define the function that calls the model\n",
+    "const callModel = async (state: typeof MessagesAnnotation.State): Promise<Partial<typeof MessagesAnnotation.State>> => {\n",
+    "  // highlight-start\n",
+    "  const selectedMessages = await trimMessages(\n",
+    "    state.messages,\n",
+    "    {\n",
+    "      tokenCounter: (messages) => messages.length, // Simple message count instead of token count\n",
+    "      maxTokens: 5, // Allow up to 5 messages\n",
+    "      strategy: \"last\",\n",
+    "      startOn: \"human\",\n",
+    "      includeSystem: true,\n",
+    "      allowPartial: false,\n",
+    "    }\n",
+    "  );\n",
+    "  // highlight-end\n",
+    "\n",
+    "  const response = await model.invoke(selectedMessages);\n",
+    "\n",
+    "  // With LangGraph, we're able to return a single message, and LangGraph will concatenate\n",
+    "  // it to the existing list\n",
+    "  return { messages: [response] };\n",
+    "};\n",
+    "\n",
+    "\n",
+    "// Define a new graph\n",
+    "const workflow = new StateGraph(MessagesAnnotation)\n",
+    "// Define the two nodes we will cycle between\n",
+    "  .addNode(\"model\", callModel)\n",
+    "  .addEdge(START, \"model\")\n",
+    "  .addEdge(\"model\", END)\n",
+    "\n",
+    "const app = workflow.compile({\n",
+    "  // Adding memory is straightforward in LangGraph!\n",
+    "  // Just pass a checkpointer to the compile method.\n",
+    "  checkpointer: new MemorySaver()\n",
+    "});\n",
+    "\n",
+    "// The thread id is a unique key that identifies this particular conversation\n",
+    "// ---\n",
+    "// NOTE: this must be `thread_id` and not `threadId` as the LangGraph internals expect `thread_id`\n",
+    "// ---\n",
+    "const thread_id = uuidv4();\n",
+    "const config = { configurable: { thread_id }, streamMode: \"values\" as const };\n",
+    "\n",
+    "const inputMessage = {\n",
+    "  role: \"user\",\n",
+    "  content: \"hi! I'm bob\",\n",
+    "}\n",
+    "for await (const event of await app.stream({ messages: [inputMessage] }, config)) {\n",
+    "  const lastMessage = event.messages[event.messages.length - 1];\n",
+    "  console.log(lastMessage.content);\n",
+    "}\n",
+    "\n",
+    "// Here, let's confirm that the AI remembers our name!\n",
+    "const followUpMessage = {\n",
+    "  role: \"user\",\n",
+    "  content: \"what was my name?\",\n",
+    "}\n",
+    "\n",
+    "// ---\n",
+    "// NOTE: You must pass the same thread id to continue the conversation\n",
+    "// we do that here by passing the same `config` object to the `.stream` call.\n",
+    "// ---\n",
+    "for await (const event of await app.stream({ messages: [followUpMessage] }, config)) {\n",
+    "  const lastMessage = event.messages[event.messages.length - 1];\n",
+    "  console.log(lastMessage.content);\n",
+    "}"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "84229e2e-a578-4b21-840a-814223406402",
+   "metadata": {},
+   "source": [
+    "```{=mdx}\n",
+    "</details>\n",
+    "```\n",
+    "\n",
+    "## Usage with a pre-built langgraph agent\n",
+    "\n",
+    "This example shows usage of an Agent Executor with a pre-built agent constructed using the [createReactAgent](https://langchain-ai.github.io/langgraphjs/reference/functions/langgraph_prebuilt.createReactAgent.html) function.\n",
+    "\n",
+    "If you are using one of the [old LangChain pre-built agents](https://js.langchain.com/v0.1/docs/modules/agents/agent_types/), you should be able\n",
+    "to replace that code with the new [LangGraph pre-built agent](https://langchain-ai.github.io/langgraphjs/how-tos/create-react-agent/) which leverages\n",
+    "native tool calling capabilities of chat models and will likely work better out of the box.\n",
+    "\n",
+    "```{=mdx}\n",
+    "<details open>\n",
+    "```"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "9e54ccdc",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "hi! I'm bob. What is my age?\n",
+      "\n",
+      "42 years old\n",
+      "Hi Bob! You are 42 years old.\n",
+      "do you remember my name?\n",
+      "Yes, your name is Bob! If there's anything else you'd like to know or discuss, feel free to ask.\n"
+     ]
+    }
+   ],
+   "source": [
+    "import { z } from \"zod\";\n",
+    "import { v4 as uuidv4 } from 'uuid';\n",
+    "import { BaseMessage, trimMessages } from \"@langchain/core/messages\";\n",
+    "import { tool } from \"@langchain/core/tools\";\n",
+    "import { ChatOpenAI } from \"@langchain/openai\";\n",
+    "import { MemorySaver } from \"@langchain/langgraph\";\n",
+    "import { createReactAgent } from \"@langchain/langgraph/prebuilt\";\n",
+    "\n",
+    "const getUserAge = tool(\n",
+    "  (name: string): string => {\n",
+    "    // This is a placeholder for the actual implementation\n",
+    "    if (name.toLowerCase().includes(\"bob\")) {\n",
+    "      return \"42 years old\";\n",
+    "    }\n",
+    "    return \"41 years old\";\n",
+    "  },\n",
+    "  {\n",
+    "    name: \"get_user_age\",\n",
+    "    description: \"Use this tool to find the user's age.\",\n",
+    "    schema: z.string().describe(\"the name of the user\"),\n",
+    "  }\n",
+    ");\n",
+    "\n",
+    "const memory = new MemorySaver();\n",
+    "const model2 = new ChatOpenAI({ model: \"gpt-4o\" });\n",
+    "\n",
+    "// highlight-start\n",
+    "const stateModifier = async (messages: BaseMessage[]): Promise<BaseMessage[]> => {\n",
+    "  // We're using the message processor defined above.\n",
+    "  return trimMessages(\n",
+    "    messages,\n",
+    "    {\n",
+    "      tokenCounter: (msgs) => msgs.length, // <-- .length will simply count the number of messages rather than tokens\n",
+    "      maxTokens: 5, // <-- allow up to 5 messages.\n",
+    "      strategy: \"last\",\n",
+    "      // The startOn is specified\n",
+    "      // to make sure we do not generate a sequence where\n",
+    "      // a ToolMessage that contains the result of a tool invocation\n",
+    "      // appears before the AIMessage that requested a tool invocation\n",
+    "      // as this will cause some chat models to raise an error.\n",
+    "      startOn: \"human\",\n",
+    "      includeSystem: true, // <-- Keep the system message\n",
+    "      allowPartial: false,\n",
+    "    }\n",
+    "  );\n",
+    "};\n",
+    "// highlight-end\n",
+    "\n",
+    "const app2 = createReactAgent({\n",
+    "  llm: model2,\n",
+    "  tools: [getUserAge],\n",
+    "  checkpointSaver: memory,\n",
+    "  // highlight-next-line\n",
+    "  messageModifier: stateModifier,\n",
+    "});\n",
+    "\n",
+    "// The thread id is a unique key that identifies\n",
+    "// this particular conversation.\n",
+    "// We'll just generate a random uuid here.\n",
+    "const threadId2 = uuidv4();\n",
+    "const config2 = { configurable: { thread_id: threadId2 }, streamMode: \"values\" as const };\n",
+    "\n",
+    "// Tell the AI that our name is Bob, and ask it to use a tool to confirm\n",
+    "// that it's capable of working like an agent.\n",
+    "const inputMessage2 = {\n",
+    "  role: \"user\",\n",
+    "  content: \"hi! I'm bob. What is my age?\",\n",
+    "}\n",
+    "\n",
+    "for await (const event of await app2.stream({ messages: [inputMessage2] }, config2)) {\n",
+    "  const lastMessage = event.messages[event.messages.length - 1];\n",
+    "  console.log(lastMessage.content);\n",
+    "}\n",
+    "\n",
+    "// Confirm that the chat bot has access to previous conversation\n",
+    "// and can respond to the user saying that the user's name is Bob.\n",
+    "const followUpMessage2 = {\n",
+    "  role: \"user\",\n",
+    "  content: \"do you remember my name?\",\n",
+    "};\n",
+    "\n",
+    "for await (const event of await app2.stream({ messages: [followUpMessage2] }, config2)) {\n",
+    "  const lastMessage = event.messages[event.messages.length - 1];\n",
+    "  console.log(lastMessage.content);\n",
+    "}"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "id": "f4d16e09-1d90-4153-8576-6d3996cb5a6c",
+   "metadata": {},
+   "source": [
+    "```{=mdx}\n",
+    "</details>\n",
+    "```\n",
+    "\n",
+    "## LCEL: Add a preprocessing step\n",
+    "\n",
+    "The simplest way to add complex conversation management is by introducing a pre-processing step in front of the chat model and pass the full conversation history to the pre-processing step.\n",
+    "\n",
+    "This approach is conceptually simple and will work in many situations; for example, if using a [RunnableWithMessageHistory](/docs/how_to/message_history/) instead of wrapping the chat model, wrap the chat model with the pre-processor.\n",
+    "\n",
+    "The obvious downside of this approach is that latency starts to increase as the conversation history grows because of two reasons:\n",
+    "\n",
+    "1. As the conversation gets longer, more data may need to be fetched from whatever store your'e using to store the conversation history (if not storing it in memory).\n",
+    "2. The pre-processing logic will end up doing a lot of redundant computation, repeating computation from previous steps of the conversation.\n",
+    "\n",
+    "```{=mdx}\n",
+    ":::caution\n",
+    "\n",
+    "If you want to use a chat model's tool calling capabilities, remember to bind the tools to the model before adding the history pre-processing step to it!\n",
+    "\n",
+    ":::\n",
+    "```\n",
+    "\n",
+    "```{=mdx}\n",
+    "<details open>\n",
+    "```"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "a1c8adf2",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "AIMessage {\n",
+      "  \"id\": \"chatcmpl-AB6uzWscxviYlbADFeDlnwIH82Fzt\",\n",
+      "  \"content\": \"\",\n",
+      "  \"additional_kwargs\": {\n",
+      "    \"tool_calls\": [\n",
+      "      {\n",
+      "        \"id\": \"call_TghBL9dzqXFMCt0zj0VYMjfp\",\n",
+      "        \"type\": \"function\",\n",
+      "        \"function\": \"[Object]\"\n",
+      "      }\n",
+      "    ]\n",
+      "  },\n",
+      "  \"response_metadata\": {\n",
+      "    \"tokenUsage\": {\n",
+      "      \"completionTokens\": 16,\n",
+      "      \"promptTokens\": 95,\n",
+      "      \"totalTokens\": 111\n",
+      "    },\n",
+      "    \"finish_reason\": \"tool_calls\",\n",
+      "    \"system_fingerprint\": \"fp_a5d11b2ef2\"\n",
+      "  },\n",
+      "  \"tool_calls\": [\n",
+      "    {\n",
+      "      \"name\": \"what_did_the_cow_say\",\n",
+      "      \"args\": {},\n",
+      "      \"type\": \"tool_call\",\n",
+      "      \"id\": \"call_TghBL9dzqXFMCt0zj0VYMjfp\"\n",
+      "    }\n",
+      "  ],\n",
+      "  \"invalid_tool_calls\": [],\n",
+      "  \"usage_metadata\": {\n",
+      "    \"input_tokens\": 95,\n",
+      "    \"output_tokens\": 16,\n",
+      "    \"total_tokens\": 111\n",
+      "  }\n",
+      "}\n"
+     ]
+    }
+   ],
+   "source": [
+    "import { ChatOpenAI } from \"@langchain/openai\";\n",
+    "import { AIMessage, HumanMessage, SystemMessage, BaseMessage, trimMessages } from \"@langchain/core/messages\";\n",
+    "import { tool } from \"@langchain/core/tools\";\n",
+    "import { z } from \"zod\";\n",
+    "\n",
+    "const model3 = new ChatOpenAI({ model: \"gpt-4o\" });\n",
+    "\n",
+    "const whatDidTheCowSay = tool(\n",
+    "  (): string => {\n",
+    "    return \"foo\";\n",
+    "  },\n",
+    "  {\n",
+    "    name: \"what_did_the_cow_say\",\n",
+    "    description: \"Check to see what the cow said.\",\n",
+    "    schema: z.object({}),\n",
+    "  }\n",
+    ");\n",
+    "\n",
+    "// highlight-start\n",
+    "const messageProcessor = trimMessages(\n",
+    "  {\n",
+    "    tokenCounter: (msgs) => msgs.length, // <-- .length will simply count the number of messages rather than tokens\n",
+    "    maxTokens: 5, // <-- allow up to 5 messages.\n",
+    "    strategy: \"last\",\n",
+    "    // The startOn is specified\n",
+    "    // to make sure we do not generate a sequence where\n",
+    "    // a ToolMessage that contains the result of a tool invocation\n",
+    "    // appears before the AIMessage that requested a tool invocation\n",
+    "    // as this will cause some chat models to raise an error.\n",
+    "    startOn: \"human\",\n",
+    "    includeSystem: true, // <-- Keep the system message\n",
+    "    allowPartial: false,\n",
+    "  }\n",
+    ");\n",
+    "// highlight-end\n",
+    "\n",
+    "// Note that we bind tools to the model first!\n",
+    "const modelWithTools = model3.bindTools([whatDidTheCowSay]);\n",
+    "\n",
+    "// highlight-next-line\n",
+    "const modelWithPreprocessor = messageProcessor.pipe(modelWithTools);\n",
+    "\n",
+    "const fullHistory = [\n",
+    "  new SystemMessage(\"you're a good assistant, you always respond with a joke.\"),\n",
+    "  new HumanMessage(\"i wonder why it's called langchain\"),\n",
+    "  new AIMessage('Well, I guess they thought \"WordRope\" and \"SentenceString\" just didn\\'t have the same ring to it!'),\n",
+    "  new HumanMessage(\"and who is harrison chasing anyways\"),\n",
+    "  new AIMessage(\"Hmmm let me think.\\n\\nWhy, he's probably chasing after the last cup of coffee in the office!\"),\n",
+    "  new HumanMessage(\"why is 42 always the answer?\"),\n",
+    "  new AIMessage(\"Because it's the only number that's constantly right, even when it doesn't add up!\"),\n",
+    "  new HumanMessage(\"What did the cow say?\"),\n",
+    "];\n",
+    "\n",
+    "// We pass it explicitly to the modelWithPreprocessor for illustrative purposes.\n",
+    "// If you're using `RunnableWithMessageHistory` the history will be automatically\n",
+    "// read from the source that you configure.\n",
+    "const result = await modelWithPreprocessor.invoke(fullHistory);\n",
+    "console.log(result);"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "id": "5da7225a-5e94-4f53-bb0d-86b6b528d150",
+   "metadata": {},
+   "source": [
+    "```{=mdx}\n",
+    "</details>\n",
+    "```\n",
+    "\n",
+    "If you need to implement more efficient logic and want to use `RunnableWithMessageHistory` for now the way to achieve this\n",
+    "is to subclass from [BaseChatMessageHistory](https://api.js.langchain.com/classes/_langchain_core.chat_history.BaseChatMessageHistory.html) and\n",
+    "define appropriate logic for `addMessages` (that doesn't simply append the history, but instead re-writes it).\n",
+    "\n",
+    "Unless you have a good reason to implement this solution, you should instead use LangGraph."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b2717810",
+   "metadata": {},
+   "source": [
+    "## Next steps\n",
+    "\n",
+    "Explore persistence with LangGraph:\n",
+    "\n",
+    "* [LangGraph quickstart tutorial](https://langchain-ai.github.io/langgraphjs/tutorials/quickstart/)\n",
+    "* [How to add persistence (\"memory\") to your graph](https://langchain-ai.github.io/langgraphjs/how-tos/persistence/)\n",
+    "* [How to manage conversation history](https://langchain-ai.github.io/langgraphjs/how-tos/manage-conversation-history/)\n",
+    "* [How to add summary of the conversation history](https://langchain-ai.github.io/langgraphjs/how-tos/add-summary-conversation-history/)\n",
+    "\n",
+    "Add persistence with simple LCEL (favor LangGraph for more complex use cases):\n",
+    "\n",
+    "* [How to add message history](/docs/how_to/message_history/)\n",
+    "\n",
+    "Working with message history:\n",
+    "\n",
+    "* [How to trim messages](/docs/how_to/trim_messages)\n",
+    "* [How to filter messages](/docs/how_to/filter_messages/)\n",
+    "* [How to merge message runs](/docs/how_to/merge_message_runs/)\n"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "TypeScript",
+   "language": "typescript",
+   "name": "tslab"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "mode": "typescript",
+    "name": "javascript",
+    "typescript": true
+   },
+   "file_extension": ".ts",
+   "mimetype": "text/typescript",
+   "name": "typescript",
+   "version": "3.7.2"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/docs/core_docs/docs/versions/migrating_memory/conversation_summary_memory.ipynb b/docs/core_docs/docs/versions/migrating_memory/conversation_summary_memory.ipynb
new file mode 100644
index 000000000000..50b2fbea4f96
--- /dev/null
+++ b/docs/core_docs/docs/versions/migrating_memory/conversation_summary_memory.ipynb
@@ -0,0 +1,45 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "ce8457ed-c0b1-4a74-abbd-9d3d2211270f",
+   "metadata": {},
+   "source": [
+    "# Migrating off ConversationSummaryMemory or ConversationSummaryBufferMemory\n",
+    "\n",
+    "Follow this guide if you're trying to migrate off one of the old memory classes listed below:\n",
+    "\n",
+    "\n",
+    "| Memory Type                          | Description                                                                                                                                          |\n",
+    "|---------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------|\n",
+    "| `ConversationSummaryMemory`           | Continually summarizes the conversation history. The summary is updated after each conversation turn. The abstraction returns the summary of the conversation history. |\n",
+    "| `ConversationSummaryBufferMemory`     | Provides a running summary of the conversation together with the most recent messages in the conversation under the constraint that the total number of tokens in the conversation does not exceed a certain limit. |\n",
+    "\n",
+    "Please follow the following [how-to guide on summarization](https://langchain-ai.github.io/langgraphjs/how-tos/add-summary-conversation-history/) in LangGraph. \n",
+    "\n",
+    "This guide shows how to maintain a running summary of the conversation while discarding older messages, ensuring they aren't re-processed during later turns."
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.4"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/docs/core_docs/docs/versions/migrating_memory/index.mdx b/docs/core_docs/docs/versions/migrating_memory/index.mdx
new file mode 100644
index 000000000000..837e7f03c544
--- /dev/null
+++ b/docs/core_docs/docs/versions/migrating_memory/index.mdx
@@ -0,0 +1,139 @@
+---
+sidebar_position: 1
+---
+
+# How to migrate to LangGraph memory
+
+As of the v0.3 release of LangChain, we recommend that LangChain users take advantage of LangGraph persistence to incorporate `memory` into their LangChain application.
+
+- Users that rely on `RunnableWithMessageHistory` or `BaseChatMessageHistory` do **not** need to make any changes, but are encouraged to consider using LangGraph for more complex use cases.
+- Users that rely on deprecated memory abstractions from LangChain 0.0.x should follow this guide to upgrade to the new LangGraph persistence feature in LangChain 0.3.x.
+
+## Why use LangGraph for memory?
+
+The main advantages of persistence in LangGraph are:
+
+- Built-in support for multiple users and conversations, which is a typical requirement for real-world conversational AI applications.
+- Ability to save and resume complex conversations at any point. This helps with:
+  - Error recovery
+  - Allowing human intervention in AI workflows
+  - Exploring different conversation paths ("time travel")
+- Full compatibility with both traditional [language models](/docs/concepts/#llms) and modern [chat models](/docs/concepts/#chat-models). Early memory implementations in LangChain weren't designed for newer chat model APIs, causing issues with features like tool-calling. LangGraph memory can persist any custom state.
+- Highly customizable, allowing you to fully control how memory works and use different storage backends.
+
+## Evolution of memory in LangChain
+
+The concept of memory has evolved significantly in LangChain since its initial release.
+
+### LangChain 0.0.x memory
+
+Broadly speaking, LangChain 0.0.x memory was used to handle three main use cases:
+
+| Use Case                             | Example                                                                                                                           |
+| ------------------------------------ | --------------------------------------------------------------------------------------------------------------------------------- |
+| Managing conversation history        | Keep only the last `n` turns of the conversation between the user and the AI.                                                     |
+| Extraction of structured information | Extract structured information from the conversation history, such as a list of facts learned about the user.                     |
+| Composite memory implementations     | Combine multiple memory sources, e.g., a list of known facts about the user along with facts learned during a given conversation. |
+
+While the LangChain 0.0.x memory abstractions were useful, they were limited in their capabilities and not well suited for real-world conversational AI applications. These memory abstractions lacked built-in support for multi-user, multi-conversation scenarios, which are essential for practical conversational AI systems.
+
+Most of these implementations have been officially deprecated in LangChain 0.3.x in favor of LangGraph persistence.
+
+### RunnableWithMessageHistory and BaseChatMessageHistory
+
+:::note
+Please see [How to use BaseChatMessageHistory with LangGraph](./chat_history), if you would like to use `BaseChatMessageHistory` (with or without `RunnableWithMessageHistory`) in LangGraph.
+:::
+
+As of LangChain v0.1, we started recommending that users rely primarily on [BaseChatMessageHistory](https://api.js.langchain.com/classes/_langchain_core.chat_history.BaseChatMessageHistory.html). `BaseChatMessageHistory` serves
+as a simple persistence for storing and retrieving messages in a conversation.
+
+At that time, the only option for orchestrating LangChain chains was via [LCEL](/docs/how_to/#langchain-expression-language-lcel). To incorporate memory with `LCEL`, users had to use the [RunnableWithMessageHistory](https://api.js.langchain.com/classes/_langchain_core.runnables.RunnableWithMessageHistory.html) interface. While sufficient for basic chat applications, many users found the API unintuitive and challenging to use.
+
+As of LangChain v0.3, we recommend that **new** code takes advantage of LangGraph for both orchestration and persistence:
+
+- Orchestration: In LangGraph, users define [graphs](https://langchain-ai.github.io/langgraphjs/concepts/low_level/) that specify the flow of the application. This allows users to keep using `LCEL` within individual nodes when `LCEL` is needed, while making it easy to define complex orchestration logic that is more readable and maintainable.
+- Persistence: Users can rely on LangGraph's persistence to store and retrieve data. LangGraph persistence is extremely flexible and can support a much wider range of use cases than the `RunnableWithMessageHistory` interface.
+
+:::important
+If you have been using `RunnableWithMessageHistory` or `BaseChatMessageHistory`, you do not need to make any changes. We do not plan on deprecating either functionality in the near future. This functionality is sufficient for simple chat applications and any code that uses `RunnableWithMessageHistory` will continue to work as expected.
+:::
+
+## Migrations
+
+:::info Prerequisites
+
+These guides assume some familiarity with the following concepts:
+
+- [LangGraph](https://langchain-ai.github.io/langgraphjs/)
+- [v0.0.x Memory](https://js.langchain.com/v0.1/docs/modules/memory/)
+- [How to add persistence ("memory") to your graph](https://langchain-ai.github.io/langgraphjs/how-tos/persistence/)
+  :::
+
+### 1. Managing conversation history
+
+The goal of managing conversation history is to store and retrieve the history in a way that is optimal for a chat model to use.
+
+Often this involves trimming and / or summarizing the conversation history to keep the most relevant parts of the conversation while having the conversation fit inside the context window of the chat model.
+
+Memory classes that fall into this category include:
+
+| Memory Type                       | How to Migrate                                               | Description                                                                                                                                                                                                         |
+| --------------------------------- | :----------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
+| `ConversationTokenBufferMemory`   | [Link to Migration Guide](conversation_buffer_window_memory) | Keeps only the most recent messages in the conversation under the constraint that the total number of tokens in the conversation does not exceed a certain limit.                                                   |
+| `ConversationSummaryMemory`       | [Link to Migration Guide](conversation_summary_memory)       | Continually summarizes the conversation history. The summary is updated after each conversation turn. The abstraction returns the summary of the conversation history.                                              |
+| `ConversationSummaryBufferMemory` | [Link to Migration Guide](conversation_summary_memory)       | Provides a running summary of the conversation together with the most recent messages in the conversation under the constraint that the total number of tokens in the conversation does not exceed a certain limit. |
+
+### 2. Extraction of structured information from the conversation history
+
+Memory classes that fall into this category include:
+
+| Memory Type       | Description                                                                                                                                                                                                    |
+| ----------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
+| `BaseEntityStore` | An abstract interface that resembles a key-value store. It was used for storing structured information learned during the conversation. The information had to be represented as an object of key-value pairs. |
+
+And specific backend implementations of abstractions:
+
+| Memory Type           | Description                                                                                              |
+| --------------------- | -------------------------------------------------------------------------------------------------------- |
+| `InMemoryEntityStore` | An implementation of `BaseEntityStore` that stores the information in the literal computer memory (RAM). |
+
+These abstractions have not received much development since their initial release. The reason
+is that for these abstractions to be useful they typically require a lot of specialization for a particular application, so these
+abstractions are not as widely used as the conversation history management abstractions.
+
+For this reason, there are no migration guides for these abstractions. If you're struggling to migrate an application
+that relies on these abstractions, please pen an issue on the LangChain GitHub repository, explain your use case, and we'll try to provide more guidance on how to migrate these abstractions.
+
+The general strategy for extracting structured information from the conversation history is to use a chat model with tool calling capabilities to extract structured information from the conversation history.
+The extracted information can then be saved into an appropriate data structure (e.g., an object), and information from it can be retrieved and added into the prompt as needed.
+
+### 3. Implementations that provide composite logic on top of one or more memory implementations
+
+Memory classes that fall into this category include:
+
+| Memory Type      | Description                                                                                                                    |
+| ---------------- | ------------------------------------------------------------------------------------------------------------------------------ |
+| `CombinedMemory` | This abstraction accepted a list of `BaseMemory` and fetched relevant memory information from each of them based on the input. |
+
+These implementations did not seem to be used widely or provide significant value. Users should be able
+to re-implement these without too much difficulty in custom code.
+
+## Related Resources
+
+Explore persistence with LangGraph:
+
+- [LangGraph quickstart tutorial](https://langchain-ai.github.io/langgraphjs/tutorials/quickstart/)
+- [How to add persistence ("memory") to your graph](https://langchain-ai.github.io/langgraphjs/how-tos/persistence/)
+- [How to manage conversation history](https://langchain-ai.github.io/langgraphjs/how-tos/manage-conversation-history/)
+- [How to add summary of the conversation history](https://langchain-ai.github.io/langgraphjs/how-tos/add-summary-conversation-history/)
+
+Add persistence with simple LCEL (favor langgraph for more complex use cases):
+
+- [How to add message history](/docs/how_to/message_history/)
+
+Working with message history:
+
+- [How to trim messages](/docs/how_to/trim_messages)
+- [How to filter messages](/docs/how_to/filter_messages/)
+- [How to merge message runs](/docs/how_to/merge_message_runs/)
diff --git a/docs/core_docs/docs/versions/v0_2/migrating_astream_events.mdx b/docs/core_docs/docs/versions/v0_2/migrating_astream_events.mdx
index 023c6ad234bd..8fde2bbfe3de 100644
--- a/docs/core_docs/docs/versions/v0_2/migrating_astream_events.mdx
+++ b/docs/core_docs/docs/versions/v0_2/migrating_astream_events.mdx
@@ -1,6 +1,6 @@
 ---
 sidebar_position: 2
-sidebar_label: streamEvents v2
+sidebar_label: Migrating to streamEvents v2
 ---
 
 # Migrating to streamEvents v2
diff --git a/docs/core_docs/sidebars.js b/docs/core_docs/sidebars.js
index e4297b057712..50336c478fd8 100644
--- a/docs/core_docs/sidebars.js
+++ b/docs/core_docs/sidebars.js
@@ -73,9 +73,35 @@ module.exports = {
       collapsible: false,
       items: [
         {
-          type: "autogenerated",
-          dirName: "versions",
+          type: "doc",
+          id: "versions/v0_3/index",
+          label: "v0.3",
+        },
+        {
+          type: "category",
+          label: "v0.2",
+          items: [
+            {
+              type: "autogenerated",
+              dirName: "versions/v0_2",
+            },
+          ],
+        },
+        {
+          type: "category",
+          label: "Migrating from v0.0 memory",
+          link: { type: "doc", id: "versions/migrating_memory/index" },
+          collapsible: false,
+          collapsed: false,
+          items: [
+            {
+              type: "autogenerated",
+              dirName: "versions/migrating_memory",
+              className: "hidden",
+            },
+          ],
         },
+        "versions/release_policy",
       ],
     },
     "security",
diff --git a/docs/core_docs/static/img/conversational_retrieval_chain.png b/docs/core_docs/static/img/conversational_retrieval_chain.png
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literal 0
HcmV?d00001


From 0df2e5a42ffa5f08b8e8dcfbd7cdfda3c0652987 Mon Sep 17 00:00:00 2001
From: Prashant Rakheja <prashant.cfc@gmail.com>
Date: Thu, 3 Oct 2024 00:23:40 +0530
Subject: [PATCH 268/344] fix(community): Column VEC_VECTOR has the wrong
 length (#6914)

Signed-off-by: Prashant Rakheja <prashant.rakheja@sap.com>
---
 libs/langchain-community/src/vectorstores/hanavector.ts | 5 ++++-
 1 file changed, 4 insertions(+), 1 deletion(-)

diff --git a/libs/langchain-community/src/vectorstores/hanavector.ts b/libs/langchain-community/src/vectorstores/hanavector.ts
index 7650eeb40bdd..8f55568adb27 100644
--- a/libs/langchain-community/src/vectorstores/hanavector.ts
+++ b/libs/langchain-community/src/vectorstores/hanavector.ts
@@ -269,8 +269,11 @@ export class HanaDB extends VectorStore {
         throw new Error(`Column ${columnName} has the wrong type: ${dataType}`);
       }
 
+      // Length can either be -1 (QRC01+02-24) or 0 (QRC03-24 onwards)
+      // to indicate no length constraint being present.
+
       // Check length, if parameter was provided
-      if (columnLength !== undefined && length !== columnLength) {
+      if (columnLength !== undefined && length !== columnLength && length > 0) {
         throw new Error(`Column ${columnName} has the wrong length: ${length}`);
       }
     }

From e5ed73224a2e96173a3466f146692d5b8deb695a Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Wed, 2 Oct 2024 12:18:11 -0700
Subject: [PATCH 269/344] fix(openai): Pass OpenAI caching information through
 in responses (#6922)

---
 .../docs/integrations/chat/openai.ipynb       | 364 ++++++++++++++++++
 libs/langchain-openai/src/chat_models.ts      |  14 +-
 .../tests/chat_models-extended.int.test.ts    | 296 ++++++++++++++
 3 files changed, 671 insertions(+), 3 deletions(-)

diff --git a/docs/core_docs/docs/integrations/chat/openai.ipynb b/docs/core_docs/docs/integrations/chat/openai.ipynb
index 2069ebe7301f..f44f301dfff0 100644
--- a/docs/core_docs/docs/integrations/chat/openai.ipynb
+++ b/docs/core_docs/docs/integrations/chat/openai.ipynb
@@ -664,6 +664,370 @@
     "}]);"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "af20e756",
+   "metadata": {},
+   "source": [
+    "## Prompt caching\n",
+    "\n",
+    "Newer OpenAI models will automatically [cache parts of your prompt](https://openai.com/index/api-prompt-caching/) if your inputs are above a certain size (1024 tokens at the time of writing) in order to reduce costs for use-cases that require long context.\n",
+    "\n",
+    "**Note:** The number of tokens cached for a given query is not yet standardized in `AIMessage.usage_metadata`, and is instead contained in the `AIMessage.response_metadata` field.\n",
+    "\n",
+    "Here's an example"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "cb4e4fd0",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "// @lc-docs-hide-cell\n",
+    "\n",
+    "const CACHED_TEXT = `## Components\n",
+    "\n",
+    "LangChain provides standard, extendable interfaces and external integrations for various components useful for building with LLMs.\n",
+    "Some components LangChain implements, some components we rely on third-party integrations for, and others are a mix.\n",
+    "\n",
+    "### Chat models\n",
+    "\n",
+    "<span data-heading-keywords=\"chat model,chat models\"></span>\n",
+    "\n",
+    "Language models that use a sequence of messages as inputs and return chat messages as outputs (as opposed to using plain text).\n",
+    "These are generally newer models (older models are generally \\`LLMs\\`, see below).\n",
+    "Chat models support the assignment of distinct roles to conversation messages, helping to distinguish messages from the AI, users, and instructions such as system messages.\n",
+    "\n",
+    "Although the underlying models are messages in, message out, the LangChain wrappers also allow these models to take a string as input.\n",
+    "This gives them the same interface as LLMs (and simpler to use).\n",
+    "When a string is passed in as input, it will be converted to a \\`HumanMessage\\` under the hood before being passed to the underlying model.\n",
+    "\n",
+    "LangChain does not host any Chat Models, rather we rely on third party integrations.\n",
+    "\n",
+    "We have some standardized parameters when constructing ChatModels:\n",
+    "\n",
+    "- \\`model\\`: the name of the model\n",
+    "\n",
+    "Chat Models also accept other parameters that are specific to that integration.\n",
+    "\n",
+    ":::important\n",
+    "Some chat models have been fine-tuned for **tool calling** and provide a dedicated API for it.\n",
+    "Generally, such models are better at tool calling than non-fine-tuned models, and are recommended for use cases that require tool calling.\n",
+    "Please see the [tool calling section](/docs/concepts/#functiontool-calling) for more information.\n",
+    ":::\n",
+    "\n",
+    "For specifics on how to use chat models, see the [relevant how-to guides here](/docs/how_to/#chat-models).\n",
+    "\n",
+    "#### Multimodality\n",
+    "\n",
+    "Some chat models are multimodal, accepting images, audio and even video as inputs.\n",
+    "These are still less common, meaning model providers haven't standardized on the \"best\" way to define the API.\n",
+    "Multimodal outputs are even less common. As such, we've kept our multimodal abstractions fairly light weight\n",
+    "and plan to further solidify the multimodal APIs and interaction patterns as the field matures.\n",
+    "\n",
+    "In LangChain, most chat models that support multimodal inputs also accept those values in OpenAI's content blocks format.\n",
+    "So far this is restricted to image inputs. For models like Gemini which support video and other bytes input, the APIs also support the native, model-specific representations.\n",
+    "\n",
+    "For specifics on how to use multimodal models, see the [relevant how-to guides here](/docs/how_to/#multimodal).\n",
+    "\n",
+    "### LLMs\n",
+    "\n",
+    "<span data-heading-keywords=\"llm,llms\"></span>\n",
+    "\n",
+    ":::caution\n",
+    "Pure text-in/text-out LLMs tend to be older or lower-level. Many popular models are best used as [chat completion models](/docs/concepts/#chat-models),\n",
+    "even for non-chat use cases.\n",
+    "\n",
+    "You are probably looking for [the section above instead](/docs/concepts/#chat-models).\n",
+    ":::\n",
+    "\n",
+    "Language models that takes a string as input and returns a string.\n",
+    "These are traditionally older models (newer models generally are [Chat Models](/docs/concepts/#chat-models), see above).\n",
+    "\n",
+    "Although the underlying models are string in, string out, the LangChain wrappers also allow these models to take messages as input.\n",
+    "This gives them the same interface as [Chat Models](/docs/concepts/#chat-models).\n",
+    "When messages are passed in as input, they will be formatted into a string under the hood before being passed to the underlying model.\n",
+    "\n",
+    "LangChain does not host any LLMs, rather we rely on third party integrations.\n",
+    "\n",
+    "For specifics on how to use LLMs, see the [relevant how-to guides here](/docs/how_to/#llms).\n",
+    "\n",
+    "### Message types\n",
+    "\n",
+    "Some language models take an array of messages as input and return a message.\n",
+    "There are a few different types of messages.\n",
+    "All messages have a \\`role\\`, \\`content\\`, and \\`response_metadata\\` property.\n",
+    "\n",
+    "The \\`role\\` describes WHO is saying the message.\n",
+    "LangChain has different message classes for different roles.\n",
+    "\n",
+    "The \\`content\\` property describes the content of the message.\n",
+    "This can be a few different things:\n",
+    "\n",
+    "- A string (most models deal this type of content)\n",
+    "- A List of objects (this is used for multi-modal input, where the object contains information about that input type and that input location)\n",
+    "\n",
+    "#### HumanMessage\n",
+    "\n",
+    "This represents a message from the user.\n",
+    "\n",
+    "#### AIMessage\n",
+    "\n",
+    "This represents a message from the model. In addition to the \\`content\\` property, these messages also have:\n",
+    "\n",
+    "**\\`response_metadata\\`**\n",
+    "\n",
+    "The \\`response_metadata\\` property contains additional metadata about the response. The data here is often specific to each model provider.\n",
+    "This is where information like log-probs and token usage may be stored.\n",
+    "\n",
+    "**\\`tool_calls\\`**\n",
+    "\n",
+    "These represent a decision from an language model to call a tool. They are included as part of an \\`AIMessage\\` output.\n",
+    "They can be accessed from there with the \\`.tool_calls\\` property.\n",
+    "\n",
+    "This property returns a list of \\`ToolCall\\`s. A \\`ToolCall\\` is an object with the following arguments:\n",
+    "\n",
+    "- \\`name\\`: The name of the tool that should be called.\n",
+    "- \\`args\\`: The arguments to that tool.\n",
+    "- \\`id\\`: The id of that tool call.\n",
+    "\n",
+    "#### SystemMessage\n",
+    "\n",
+    "This represents a system message, which tells the model how to behave. Not every model provider supports this.\n",
+    "\n",
+    "#### ToolMessage\n",
+    "\n",
+    "This represents the result of a tool call. In addition to \\`role\\` and \\`content\\`, this message has:\n",
+    "\n",
+    "- a \\`tool_call_id\\` field which conveys the id of the call to the tool that was called to produce this result.\n",
+    "- an \\`artifact\\` field which can be used to pass along arbitrary artifacts of the tool execution which are useful to track but which should not be sent to the model.\n",
+    "\n",
+    "#### (Legacy) FunctionMessage\n",
+    "\n",
+    "This is a legacy message type, corresponding to OpenAI's legacy function-calling API. \\`ToolMessage\\` should be used instead to correspond to the updated tool-calling API.\n",
+    "\n",
+    "This represents the result of a function call. In addition to \\`role\\` and \\`content\\`, this message has a \\`name\\` parameter which conveys the name of the function that was called to produce this result.\n",
+    "\n",
+    "### Prompt templates\n",
+    "\n",
+    "<span data-heading-keywords=\"prompt,prompttemplate,chatprompttemplate\"></span>\n",
+    "\n",
+    "Prompt templates help to translate user input and parameters into instructions for a language model.\n",
+    "This can be used to guide a model's response, helping it understand the context and generate relevant and coherent language-based output.\n",
+    "\n",
+    "Prompt Templates take as input an object, where each key represents a variable in the prompt template to fill in.\n",
+    "\n",
+    "Prompt Templates output a PromptValue. This PromptValue can be passed to an LLM or a ChatModel, and can also be cast to a string or an array of messages.\n",
+    "The reason this PromptValue exists is to make it easy to switch between strings and messages.\n",
+    "\n",
+    "There are a few different types of prompt templates:\n",
+    "\n",
+    "#### String PromptTemplates\n",
+    "\n",
+    "These prompt templates are used to format a single string, and generally are used for simpler inputs.\n",
+    "For example, a common way to construct and use a PromptTemplate is as follows:\n",
+    "\n",
+    "\\`\\`\\`typescript\n",
+    "import { PromptTemplate } from \"@langchain/core/prompts\";\n",
+    "\n",
+    "const promptTemplate = PromptTemplate.fromTemplate(\n",
+    "  \"Tell me a joke about {topic}\"\n",
+    ");\n",
+    "\n",
+    "await promptTemplate.invoke({ topic: \"cats\" });\n",
+    "\\`\\`\\`\n",
+    "\n",
+    "#### ChatPromptTemplates\n",
+    "\n",
+    "These prompt templates are used to format an array of messages. These \"templates\" consist of an array of templates themselves.\n",
+    "For example, a common way to construct and use a ChatPromptTemplate is as follows:\n",
+    "\n",
+    "\\`\\`\\`typescript\n",
+    "import { ChatPromptTemplate } from \"@langchain/core/prompts\";\n",
+    "\n",
+    "const promptTemplate = ChatPromptTemplate.fromMessages([\n",
+    "  [\"system\", \"You are a helpful assistant\"],\n",
+    "  [\"user\", \"Tell me a joke about {topic}\"],\n",
+    "]);\n",
+    "\n",
+    "await promptTemplate.invoke({ topic: \"cats\" });\n",
+    "\\`\\`\\`\n",
+    "\n",
+    "In the above example, this ChatPromptTemplate will construct two messages when called.\n",
+    "The first is a system message, that has no variables to format.\n",
+    "The second is a HumanMessage, and will be formatted by the \\`topic\\` variable the user passes in.\n",
+    "\n",
+    "#### MessagesPlaceholder\n",
+    "\n",
+    "<span data-heading-keywords=\"messagesplaceholder\"></span>\n",
+    "\n",
+    "This prompt template is responsible for adding an array of messages in a particular place.\n",
+    "In the above ChatPromptTemplate, we saw how we could format two messages, each one a string.\n",
+    "But what if we wanted the user to pass in an array of messages that we would slot into a particular spot?\n",
+    "This is how you use MessagesPlaceholder.\n",
+    "\n",
+    "\\`\\`\\`typescript\n",
+    "import {\n",
+    "  ChatPromptTemplate,\n",
+    "  MessagesPlaceholder,\n",
+    "} from \"@langchain/core/prompts\";\n",
+    "import { HumanMessage } from \"@langchain/core/messages\";\n",
+    "\n",
+    "const promptTemplate = ChatPromptTemplate.fromMessages([\n",
+    "  [\"system\", \"You are a helpful assistant\"],\n",
+    "  new MessagesPlaceholder(\"msgs\"),\n",
+    "]);\n",
+    "\n",
+    "promptTemplate.invoke({ msgs: [new HumanMessage({ content: \"hi!\" })] });\n",
+    "\\`\\`\\`\n",
+    "\n",
+    "This will produce an array of two messages, the first one being a system message, and the second one being the HumanMessage we passed in.\n",
+    "If we had passed in 5 messages, then it would have produced 6 messages in total (the system message plus the 5 passed in).\n",
+    "This is useful for letting an array of messages be slotted into a particular spot.\n",
+    "\n",
+    "An alternative way to accomplish the same thing without using the \\`MessagesPlaceholder\\` class explicitly is:\n",
+    "\n",
+    "\\`\\`\\`typescript\n",
+    "const promptTemplate = ChatPromptTemplate.fromMessages([\n",
+    "  [\"system\", \"You are a helpful assistant\"],\n",
+    "  [\"placeholder\", \"{msgs}\"], // <-- This is the changed part\n",
+    "]);\n",
+    "\\`\\`\\`\n",
+    "\n",
+    "For specifics on how to use prompt templates, see the [relevant how-to guides here](/docs/how_to/#prompt-templates).\n",
+    "\n",
+    "### Example Selectors\n",
+    "\n",
+    "One common prompting technique for achieving better performance is to include examples as part of the prompt.\n",
+    "This gives the language model concrete examples of how it should behave.\n",
+    "Sometimes these examples are hardcoded into the prompt, but for more advanced situations it may be nice to dynamically select them.\n",
+    "Example Selectors are classes responsible for selecting and then formatting examples into prompts.\n",
+    "\n",
+    "For specifics on how to use example selectors, see the [relevant how-to guides here](/docs/how_to/#example-selectors).\n",
+    "\n",
+    "### Output parsers\n",
+    "\n",
+    "<span data-heading-keywords=\"output parser\"></span>\n",
+    "\n",
+    ":::note\n",
+    "\n",
+    "The information here refers to parsers that take a text output from a model try to parse it into a more structured representation.\n",
+    "More and more models are supporting function (or tool) calling, which handles this automatically.\n",
+    "It is recommended to use function/tool calling rather than output parsing.\n",
+    "See documentation for that [here](/docs/concepts/#function-tool-calling).\n",
+    "\n",
+    ":::\n",
+    "\n",
+    "Responsible for taking the output of a model and transforming it to a more suitable format for downstream tasks.\n",
+    "Useful when you are using LLMs to generate structured data, or to normalize output from chat models and LLMs.\n",
+    "\n",
+    "There are two main methods an output parser must implement:\n",
+    "\n",
+    "- \"Get format instructions\": A method which returns a string containing instructions for how the output of a language model should be formatted.\n",
+    "- \"Parse\": A method which takes in a string (assumed to be the response from a language model) and parses it into some structure.\n",
+    "\n",
+    "And then one optional one:\n",
+    "\n",
+    "- \"Parse with prompt\": A method which takes in a string (assumed to be the response from a language model) and a prompt (assumed to be the prompt that generated such a response) and parses it into some structure. The prompt is largely provided in the event the OutputParser wants to retry or fix the output in some way, and needs information from the prompt to do so.\n",
+    "\n",
+    "Output parsers accept a string or \\`BaseMessage\\` as input and can return an arbitrary type.\n",
+    "\n",
+    "LangChain has many different types of output parsers. This is a list of output parsers LangChain supports. The table below has various pieces of information:\n",
+    "\n",
+    "**Name**: The name of the output parser\n",
+    "\n",
+    "**Supports Streaming**: Whether the output parser supports streaming.\n",
+    "\n",
+    "**Input Type**: Expected input type. Most output parsers work on both strings and messages, but some (like OpenAI Functions) need a message with specific arguments.\n",
+    "\n",
+    "**Output Type**: The output type of the object returned by the parser.\n",
+    "\n",
+    "**Description**: Our commentary on this output parser and when to use it.\n",
+    "\n",
+    "The current date is ${new Date().toISOString()}`;\n",
+    "\n",
+    "// Noop statement to hide output\n",
+    "void 0;"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "7a43595c",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "USAGE: {\n",
+      "  prompt_tokens: 2624,\n",
+      "  completion_tokens: 263,\n",
+      "  total_tokens: 2887,\n",
+      "  prompt_tokens_details: { cached_tokens: 0 },\n",
+      "  completion_tokens_details: { reasoning_tokens: 0 }\n",
+      "}\n"
+     ]
+    }
+   ],
+   "source": [
+    "import { ChatOpenAI } from \"@langchain/openai\";\n",
+    "\n",
+    "const modelWithCaching = new ChatOpenAI({\n",
+    "  model: \"gpt-4o-mini-2024-07-18\",\n",
+    "});\n",
+    "\n",
+    "// CACHED_TEXT is some string longer than 1024 tokens\n",
+    "const LONG_TEXT = `You are a pirate. Always respond in pirate dialect.\n",
+    "\n",
+    "Use the following as context when answering questions:\n",
+    "\n",
+    "${CACHED_TEXT}`;\n",
+    "\n",
+    "const longMessages = [\n",
+    "  {\n",
+    "    role: \"system\",\n",
+    "    content: LONG_TEXT,\n",
+    "  },\n",
+    "  {\n",
+    "    role: \"user\",\n",
+    "    content: \"What types of messages are supported in LangChain?\",\n",
+    "  },\n",
+    "];\n",
+    "\n",
+    "const originalRes = await modelWithCaching.invoke(longMessages);\n",
+    "\n",
+    "console.log(\"USAGE:\", originalRes.response_metadata.usage);"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "76c8005e",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "USAGE: {\n",
+      "  prompt_tokens: 2624,\n",
+      "  completion_tokens: 272,\n",
+      "  total_tokens: 2896,\n",
+      "  prompt_tokens_details: { cached_tokens: 2432 },\n",
+      "  completion_tokens_details: { reasoning_tokens: 0 }\n",
+      "}\n"
+     ]
+    }
+   ],
+   "source": [
+    "const resWitCaching = await modelWithCaching.invoke(longMessages);\n",
+    "\n",
+    "console.log(\"USAGE:\", resWitCaching.response_metadata.usage);"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "3a5bb5ca-c3ae-4a58-be67-2cd18574b9a3",
diff --git a/libs/langchain-openai/src/chat_models.ts b/libs/langchain-openai/src/chat_models.ts
index 678dd78a2e43..9d9d9a0da67d 100644
--- a/libs/langchain-openai/src/chat_models.ts
+++ b/libs/langchain-openai/src/chat_models.ts
@@ -169,6 +169,7 @@ function openAIResponseToChatMessage(
       let response_metadata: Record<string, unknown> | undefined;
       if (rawResponse.system_fingerprint) {
         response_metadata = {
+          usage: { ...rawResponse.usage },
           system_fingerprint: rawResponse.system_fingerprint,
         };
       }
@@ -210,8 +211,9 @@ function _convertDeltaToMessageChunk(
   if (includeRawResponse) {
     additional_kwargs.__raw_response = rawResponse;
   }
+  const response_metadata = { usage: { ...rawResponse.usage } };
   if (role === "user") {
-    return new HumanMessageChunk({ content });
+    return new HumanMessageChunk({ content, response_metadata });
   } else if (role === "assistant") {
     const toolCallChunks: ToolCallChunk[] = [];
     if (Array.isArray(delta.tool_calls)) {
@@ -230,23 +232,26 @@ function _convertDeltaToMessageChunk(
       tool_call_chunks: toolCallChunks,
       additional_kwargs,
       id: rawResponse.id,
+      response_metadata,
     });
   } else if (role === "system") {
-    return new SystemMessageChunk({ content });
+    return new SystemMessageChunk({ content, response_metadata });
   } else if (role === "function") {
     return new FunctionMessageChunk({
       content,
       additional_kwargs,
       name: delta.name,
+      response_metadata,
     });
   } else if (role === "tool") {
     return new ToolMessageChunk({
       content,
       additional_kwargs,
       tool_call_id: delta.tool_call_id,
+      response_metadata,
     });
   } else {
-    return new ChatMessageChunk({ content, role });
+    return new ChatMessageChunk({ content, role, response_metadata });
   }
 }
 
@@ -1294,6 +1299,9 @@ export class ChatOpenAI<
       const generationChunk = new ChatGenerationChunk({
         message: new AIMessageChunk({
           content: "",
+          response_metadata: {
+            usage: { ...usage },
+          },
           usage_metadata: {
             input_tokens: usage.prompt_tokens,
             output_tokens: usage.completion_tokens,
diff --git a/libs/langchain-openai/src/tests/chat_models-extended.int.test.ts b/libs/langchain-openai/src/tests/chat_models-extended.int.test.ts
index 99c8dc9c7c00..d42e61e2c6a0 100644
--- a/libs/langchain-openai/src/tests/chat_models-extended.int.test.ts
+++ b/libs/langchain-openai/src/tests/chat_models-extended.int.test.ts
@@ -1,5 +1,7 @@
+/* eslint-disable no-promise-executor-return */
 import { test, expect, jest } from "@jest/globals";
 import { AIMessage, HumanMessage, ToolMessage } from "@langchain/core/messages";
+import { concat } from "@langchain/core/utils/stream";
 import { InMemoryCache } from "@langchain/core/caches";
 import { ChatOpenAI } from "../chat_models.js";
 
@@ -328,3 +330,297 @@ test("Test ChatOpenAI with raw response", async () => {
     ).toBeDefined();
   }
 });
+
+const CACHED_TEXT = `## Components
+
+LangChain provides standard, extendable interfaces and external integrations for various components useful for building with LLMs.
+Some components LangChain implements, some components we rely on third-party integrations for, and others are a mix.
+
+### Chat models
+
+<span data-heading-keywords="chat model,chat models"></span>
+
+Language models that use a sequence of messages as inputs and return chat messages as outputs (as opposed to using plain text).
+These are generally newer models (older models are generally \`LLMs\`, see below).
+Chat models support the assignment of distinct roles to conversation messages, helping to distinguish messages from the AI, users, and instructions such as system messages.
+
+Although the underlying models are messages in, message out, the LangChain wrappers also allow these models to take a string as input.
+This gives them the same interface as LLMs (and simpler to use).
+When a string is passed in as input, it will be converted to a \`HumanMessage\` under the hood before being passed to the underlying model.
+
+LangChain does not host any Chat Models, rather we rely on third party integrations.
+
+We have some standardized parameters when constructing ChatModels:
+
+- \`model\`: the name of the model
+
+Chat Models also accept other parameters that are specific to that integration.
+
+:::important
+Some chat models have been fine-tuned for **tool calling** and provide a dedicated API for it.
+Generally, such models are better at tool calling than non-fine-tuned models, and are recommended for use cases that require tool calling.
+Please see the [tool calling section](/docs/concepts/#functiontool-calling) for more information.
+:::
+
+For specifics on how to use chat models, see the [relevant how-to guides here](/docs/how_to/#chat-models).
+
+#### Multimodality
+
+Some chat models are multimodal, accepting images, audio and even video as inputs.
+These are still less common, meaning model providers haven't standardized on the "best" way to define the API.
+Multimodal outputs are even less common. As such, we've kept our multimodal abstractions fairly light weight
+and plan to further solidify the multimodal APIs and interaction patterns as the field matures.
+
+In LangChain, most chat models that support multimodal inputs also accept those values in OpenAI's content blocks format.
+So far this is restricted to image inputs. For models like Gemini which support video and other bytes input, the APIs also support the native, model-specific representations.
+
+For specifics on how to use multimodal models, see the [relevant how-to guides here](/docs/how_to/#multimodal).
+
+### LLMs
+
+<span data-heading-keywords="llm,llms"></span>
+
+:::caution
+Pure text-in/text-out LLMs tend to be older or lower-level. Many popular models are best used as [chat completion models](/docs/concepts/#chat-models),
+even for non-chat use cases.
+
+You are probably looking for [the section above instead](/docs/concepts/#chat-models).
+:::
+
+Language models that takes a string as input and returns a string.
+These are traditionally older models (newer models generally are [Chat Models](/docs/concepts/#chat-models), see above).
+
+Although the underlying models are string in, string out, the LangChain wrappers also allow these models to take messages as input.
+This gives them the same interface as [Chat Models](/docs/concepts/#chat-models).
+When messages are passed in as input, they will be formatted into a string under the hood before being passed to the underlying model.
+
+LangChain does not host any LLMs, rather we rely on third party integrations.
+
+For specifics on how to use LLMs, see the [relevant how-to guides here](/docs/how_to/#llms).
+
+### Message types
+
+Some language models take an array of messages as input and return a message.
+There are a few different types of messages.
+All messages have a \`role\`, \`content\`, and \`response_metadata\` property.
+
+The \`role\` describes WHO is saying the message.
+LangChain has different message classes for different roles.
+
+The \`content\` property describes the content of the message.
+This can be a few different things:
+
+- A string (most models deal this type of content)
+- A List of objects (this is used for multi-modal input, where the object contains information about that input type and that input location)
+
+#### HumanMessage
+
+This represents a message from the user.
+
+#### AIMessage
+
+This represents a message from the model. In addition to the \`content\` property, these messages also have:
+
+**\`response_metadata\`**
+
+The \`response_metadata\` property contains additional metadata about the response. The data here is often specific to each model provider.
+This is where information like log-probs and token usage may be stored.
+
+**\`tool_calls\`**
+
+These represent a decision from an language model to call a tool. They are included as part of an \`AIMessage\` output.
+They can be accessed from there with the \`.tool_calls\` property.
+
+This property returns a list of \`ToolCall\`s. A \`ToolCall\` is an object with the following arguments:
+
+- \`name\`: The name of the tool that should be called.
+- \`args\`: The arguments to that tool.
+- \`id\`: The id of that tool call.
+
+#### SystemMessage
+
+This represents a system message, which tells the model how to behave. Not every model provider supports this.
+
+#### ToolMessage
+
+This represents the result of a tool call. In addition to \`role\` and \`content\`, this message has:
+
+- a \`tool_call_id\` field which conveys the id of the call to the tool that was called to produce this result.
+- an \`artifact\` field which can be used to pass along arbitrary artifacts of the tool execution which are useful to track but which should not be sent to the model.
+
+#### (Legacy) FunctionMessage
+
+This is a legacy message type, corresponding to OpenAI's legacy function-calling API. \`ToolMessage\` should be used instead to correspond to the updated tool-calling API.
+
+This represents the result of a function call. In addition to \`role\` and \`content\`, this message has a \`name\` parameter which conveys the name of the function that was called to produce this result.
+
+### Prompt templates
+
+<span data-heading-keywords="prompt,prompttemplate,chatprompttemplate"></span>
+
+Prompt templates help to translate user input and parameters into instructions for a language model.
+This can be used to guide a model's response, helping it understand the context and generate relevant and coherent language-based output.
+
+Prompt Templates take as input an object, where each key represents a variable in the prompt template to fill in.
+
+Prompt Templates output a PromptValue. This PromptValue can be passed to an LLM or a ChatModel, and can also be cast to a string or an array of messages.
+The reason this PromptValue exists is to make it easy to switch between strings and messages.
+
+There are a few different types of prompt templates:
+
+#### String PromptTemplates
+
+These prompt templates are used to format a single string, and generally are used for simpler inputs.
+For example, a common way to construct and use a PromptTemplate is as follows:
+
+\`\`\`typescript
+import { PromptTemplate } from "@langchain/core/prompts";
+
+const promptTemplate = PromptTemplate.fromTemplate(
+  "Tell me a joke about {topic}"
+);
+
+await promptTemplate.invoke({ topic: "cats" });
+\`\`\`
+
+#### ChatPromptTemplates
+
+These prompt templates are used to format an array of messages. These "templates" consist of an array of templates themselves.
+For example, a common way to construct and use a ChatPromptTemplate is as follows:
+
+\`\`\`typescript
+import { ChatPromptTemplate } from "@langchain/core/prompts";
+
+const promptTemplate = ChatPromptTemplate.fromMessages([
+  ["system", "You are a helpful assistant"],
+  ["user", "Tell me a joke about {topic}"],
+]);
+
+await promptTemplate.invoke({ topic: "cats" });
+\`\`\`
+
+In the above example, this ChatPromptTemplate will construct two messages when called.
+The first is a system message, that has no variables to format.
+The second is a HumanMessage, and will be formatted by the \`topic\` variable the user passes in.
+
+#### MessagesPlaceholder
+
+<span data-heading-keywords="messagesplaceholder"></span>
+
+This prompt template is responsible for adding an array of messages in a particular place.
+In the above ChatPromptTemplate, we saw how we could format two messages, each one a string.
+But what if we wanted the user to pass in an array of messages that we would slot into a particular spot?
+This is how you use MessagesPlaceholder.
+
+\`\`\`typescript
+import {
+  ChatPromptTemplate,
+  MessagesPlaceholder,
+} from "@langchain/core/prompts";
+import { HumanMessage } from "@langchain/core/messages";
+
+const promptTemplate = ChatPromptTemplate.fromMessages([
+  ["system", "You are a helpful assistant"],
+  new MessagesPlaceholder("msgs"),
+]);
+
+promptTemplate.invoke({ msgs: [new HumanMessage({ content: "hi!" })] });
+\`\`\`
+
+This will produce an array of two messages, the first one being a system message, and the second one being the HumanMessage we passed in.
+If we had passed in 5 messages, then it would have produced 6 messages in total (the system message plus the 5 passed in).
+This is useful for letting an array of messages be slotted into a particular spot.
+
+An alternative way to accomplish the same thing without using the \`MessagesPlaceholder\` class explicitly is:
+
+\`\`\`typescript
+const promptTemplate = ChatPromptTemplate.fromMessages([
+  ["system", "You are a helpful assistant"],
+  ["placeholder", "{msgs}"], // <-- This is the changed part
+]);
+\`\`\`
+
+For specifics on how to use prompt templates, see the [relevant how-to guides here](/docs/how_to/#prompt-templates).
+
+### Example Selectors
+
+One common prompting technique for achieving better performance is to include examples as part of the prompt.
+This gives the language model concrete examples of how it should behave.
+Sometimes these examples are hardcoded into the prompt, but for more advanced situations it may be nice to dynamically select them.
+Example Selectors are classes responsible for selecting and then formatting examples into prompts.
+
+For specifics on how to use example selectors, see the [relevant how-to guides here](/docs/how_to/#example-selectors).
+
+### Output parsers
+
+<span data-heading-keywords="output parser"></span>
+
+:::note
+
+The information here refers to parsers that take a text output from a model try to parse it into a more structured representation.
+More and more models are supporting function (or tool) calling, which handles this automatically.
+It is recommended to use function/tool calling rather than output parsing.
+See documentation for that [here](/docs/concepts/#function-tool-calling).
+
+:::
+
+Responsible for taking the output of a model and transforming it to a more suitable format for downstream tasks.
+Useful when you are using LLMs to generate structured data, or to normalize output from chat models and LLMs.
+
+There are two main methods an output parser must implement:
+
+- "Get format instructions": A method which returns a string containing instructions for how the output of a language model should be formatted.
+- "Parse": A method which takes in a string (assumed to be the response from a language model) and parses it into some structure.
+
+And then one optional one:
+
+- "Parse with prompt": A method which takes in a string (assumed to be the response from a language model) and a prompt (assumed to be the prompt that generated such a response) and parses it into some structure. The prompt is largely provided in the event the OutputParser wants to retry or fix the output in some way, and needs information from the prompt to do so.
+
+Output parsers accept a string or \`BaseMessage\` as input and can return an arbitrary type.
+
+LangChain has many different types of output parsers. This is a list of output parsers LangChain supports. The table below has various pieces of information:
+
+**Name**: The name of the output parser
+
+**Supports Streaming**: Whether the output parser supports streaming.
+
+**Input Type**: Expected input type. Most output parsers work on both strings and messages, but some (like OpenAI Functions) need a message with specific arguments.
+
+**Output Type**: The output type of the object returned by the parser.
+
+**Description**: Our commentary on this output parser and when to use it.
+
+The current date is ${new Date().toISOString()}`;
+
+test.skip("system prompt caching", async () => {
+  const model = new ChatOpenAI({
+    model: "gpt-4o-mini-2024-07-18",
+  });
+  const date = new Date().toISOString();
+  const messages = [
+    {
+      role: "system",
+      content: `You are a pirate. Always respond in pirate dialect. The current date is ${date}.\nUse the following as context when answering questions: ${CACHED_TEXT}`,
+    },
+    {
+      role: "user",
+      content: "What types of messages are supported in LangChain?",
+    },
+  ];
+  const res = await model.invoke(messages);
+  expect(res.response_metadata?.usage.prompt_tokens_details.cached_tokens).toBe(
+    0
+  );
+  await new Promise((resolve) => setTimeout(resolve, 5000));
+  const res2 = await model.invoke(messages);
+  expect(
+    res2.response_metadata?.usage.prompt_tokens_details.cached_tokens
+  ).toBeGreaterThan(0);
+  let aggregate;
+  for await (const chunk of await model.stream(messages)) {
+    aggregate = aggregate ? concat(aggregate, chunk) : chunk;
+  }
+  expect(
+    aggregate?.response_metadata?.usage.prompt_tokens_details.cached_tokens
+  ).toBeGreaterThan(0);
+});

From 51168684dc14ac628c3ae5b933640020763a90a3 Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Wed, 2 Oct 2024 12:23:35 -0700
Subject: [PATCH 270/344] chore(openai): Release 0.3.5 (#6923)

---
 libs/langchain-openai/package.json | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/libs/langchain-openai/package.json b/libs/langchain-openai/package.json
index 2e7455acec73..d76b8f1d11f6 100644
--- a/libs/langchain-openai/package.json
+++ b/libs/langchain-openai/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/openai",
-  "version": "0.3.4",
+  "version": "0.3.5",
   "description": "OpenAI integrations for LangChain.js",
   "type": "module",
   "engines": {

From 04e21d8bac2932f59d14034d83c233f1ce02b2ed Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Thu, 3 Oct 2024 10:41:14 -0700
Subject: [PATCH 271/344] feat(core): Adds exported typeguards for messages
 (#6925)

---
 langchain-core/src/messages/base.ts     | 17 ++++++++++++++++-
 langchain-core/src/messages/chat.ts     |  8 ++++++++
 langchain-core/src/messages/function.ts | 10 ++++++++++
 langchain-core/src/messages/human.ts    | 10 ++++++++++
 langchain-core/src/messages/index.ts    |  2 ++
 langchain-core/src/messages/system.ts   | 10 ++++++++++
 langchain-core/src/messages/tool.ts     |  8 ++++++++
 7 files changed, 64 insertions(+), 1 deletion(-)

diff --git a/langchain-core/src/messages/base.ts b/langchain-core/src/messages/base.ts
index 0e327e334d57..2c44b46bbf9d 100644
--- a/langchain-core/src/messages/base.ts
+++ b/langchain-core/src/messages/base.ts
@@ -218,9 +218,24 @@ export abstract class BaseMessage
    */
   id?: string;
 
-  /** The type of the message. */
+  /**
+   * @deprecated Use .getType() instead or import the proper typeguard.
+   * For example:
+   *
+   * ```ts
+   * import { isAIMessage } from "@langchain/core/messages";
+   *
+   * const message = new AIMessage("Hello!");
+   * isAIMessage(message); // true
+   * ```
+   */
   abstract _getType(): MessageType;
 
+  /** The type of the message. */
+  getType(): MessageType {
+    return this._getType();
+  }
+
   constructor(
     fields: string | BaseMessageFields,
     /** @deprecated */
diff --git a/langchain-core/src/messages/chat.ts b/langchain-core/src/messages/chat.ts
index 7c3f80492389..376c05cceb84 100644
--- a/langchain-core/src/messages/chat.ts
+++ b/langchain-core/src/messages/chat.ts
@@ -108,3 +108,11 @@ export class ChatMessageChunk extends BaseMessageChunk {
     };
   }
 }
+
+export function isChatMessage(x: BaseMessage): x is ChatMessage {
+  return x._getType() === "generic";
+}
+
+export function isChatMessageChunk(x: BaseMessageChunk): x is ChatMessageChunk {
+  return x._getType() === "generic";
+}
diff --git a/langchain-core/src/messages/function.ts b/langchain-core/src/messages/function.ts
index 12cd9c5d3693..7e3455b8ca51 100644
--- a/langchain-core/src/messages/function.ts
+++ b/langchain-core/src/messages/function.ts
@@ -73,3 +73,13 @@ export class FunctionMessageChunk extends BaseMessageChunk {
     });
   }
 }
+
+export function isFunctionMessage(x: BaseMessage): x is FunctionMessage {
+  return x._getType() === "function";
+}
+
+export function isFunctionMessageChunk(
+  x: BaseMessageChunk
+): x is FunctionMessageChunk {
+  return x._getType() === "function";
+}
diff --git a/langchain-core/src/messages/human.ts b/langchain-core/src/messages/human.ts
index a64ad32b7e2a..30b5354ee509 100644
--- a/langchain-core/src/messages/human.ts
+++ b/langchain-core/src/messages/human.ts
@@ -47,3 +47,13 @@ export class HumanMessageChunk extends BaseMessageChunk {
     });
   }
 }
+
+export function isHumanMessage(x: BaseMessage): x is HumanMessage {
+  return x.getType() === "human";
+}
+
+export function isHumanMessageChunk(
+  x: BaseMessageChunk
+): x is HumanMessageChunk {
+  return x.getType() === "human";
+}
diff --git a/langchain-core/src/messages/index.ts b/langchain-core/src/messages/index.ts
index aae54561f29c..d60fb4268ba3 100644
--- a/langchain-core/src/messages/index.ts
+++ b/langchain-core/src/messages/index.ts
@@ -14,4 +14,6 @@ export {
   ToolMessage,
   ToolMessageChunk,
   type InvalidToolCall,
+  isToolMessage,
+  isToolMessageChunk,
 } from "./tool.js";
diff --git a/langchain-core/src/messages/system.ts b/langchain-core/src/messages/system.ts
index 5d88fdea5c8d..ae91a240e83f 100644
--- a/langchain-core/src/messages/system.ts
+++ b/langchain-core/src/messages/system.ts
@@ -47,3 +47,13 @@ export class SystemMessageChunk extends BaseMessageChunk {
     });
   }
 }
+
+export function isSystemMessage(x: BaseMessage): x is SystemMessage {
+  return x._getType() === "system";
+}
+
+export function isSystemMessageChunk(
+  x: BaseMessageChunk
+): x is SystemMessageChunk {
+  return x._getType() === "system";
+}
diff --git a/langchain-core/src/messages/tool.ts b/langchain-core/src/messages/tool.ts
index 443c3ecdc12a..d8683f6bfbc8 100644
--- a/langchain-core/src/messages/tool.ts
+++ b/langchain-core/src/messages/tool.ts
@@ -281,3 +281,11 @@ export function defaultToolCallParser(
   }
   return [toolCalls, invalidToolCalls];
 }
+
+export function isToolMessage(x: BaseMessage): x is ToolMessage {
+  return x._getType() === "tool";
+}
+
+export function isToolMessageChunk(x: BaseMessageChunk): x is ToolMessageChunk {
+  return x._getType() === "tool";
+}

From e3df4514664f9cc45603dcba3a9b990713a0de6e Mon Sep 17 00:00:00 2001
From: William FH <13333726+hinthornw@users.noreply.github.com>
Date: Thu, 3 Oct 2024 15:09:37 -0700
Subject: [PATCH 272/344] Add better error msg (#6928)

Co-authored-by: Jacob Lee <jacoblee93@gmail.com>
---
 langchain-core/src/messages/utils.ts | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/langchain-core/src/messages/utils.ts b/langchain-core/src/messages/utils.ts
index b9df034ee923..7adee3ef044a 100644
--- a/langchain-core/src/messages/utils.ts
+++ b/langchain-core/src/messages/utils.ts
@@ -79,7 +79,7 @@ function _constructMessageFromParams(
     });
   } else {
     throw new Error(
-      `Unable to coerce message from array: only human, AI, or system message coercion is currently supported.`
+      `Unable to coerce message from array: only human, AI, or system message coercion is currently supported.\n\nReceived:${params}`
     );
   }
 }

From 168168d0f9df38827f88d18ef54deac7c5af6eda Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Thu, 3 Oct 2024 15:52:45 -0700
Subject: [PATCH 273/344] feat(core): Allow serialized messages as
 BaseMessageLikes (#6930)

---
 langchain-core/src/messages/base.ts  |  3 ++-
 langchain-core/src/messages/utils.ts | 40 ++++++++++++++++++++++++++--
 2 files changed, 40 insertions(+), 3 deletions(-)

diff --git a/langchain-core/src/messages/base.ts b/langchain-core/src/messages/base.ts
index 2c44b46bbf9d..790555f11ead 100644
--- a/langchain-core/src/messages/base.ts
+++ b/langchain-core/src/messages/base.ts
@@ -495,7 +495,8 @@ export type BaseMessageLike =
   | ({
       type: MessageType | "user" | "assistant" | "placeholder";
     } & BaseMessageFields &
-      Record<string, unknown>);
+      Record<string, unknown>)
+  | SerializedConstructor;
 
 export function isBaseMessage(
   messageLike?: unknown
diff --git a/langchain-core/src/messages/utils.ts b/langchain-core/src/messages/utils.ts
index 7adee3ef044a..ee31d8245b27 100644
--- a/langchain-core/src/messages/utils.ts
+++ b/langchain-core/src/messages/utils.ts
@@ -1,3 +1,4 @@
+import { SerializedConstructor } from "../load/serializable.js";
 import { _isToolCall } from "../tools/utils.js";
 import { AIMessage, AIMessageChunk, AIMessageChunkFields } from "./ai.js";
 import {
@@ -55,10 +56,45 @@ function _coerceToolCall(
   }
 }
 
+function isSerializedConstructor(x: unknown): x is SerializedConstructor {
+  return (
+    typeof x === "object" &&
+    x != null &&
+    (x as SerializedConstructor).lc === 1 &&
+    Array.isArray((x as SerializedConstructor).id) &&
+    (x as SerializedConstructor).kwargs != null &&
+    typeof (x as SerializedConstructor).kwargs === "object"
+  );
+}
+
 function _constructMessageFromParams(
-  params: BaseMessageFields & { type: string } & Record<string, unknown>
+  params:
+    | (BaseMessageFields & { type: string } & Record<string, unknown>)
+    | SerializedConstructor
 ) {
-  const { type, ...rest } = params;
+  let type: string;
+  let rest: BaseMessageFields & Record<string, unknown>;
+  // Support serialized messages
+  if (isSerializedConstructor(params)) {
+    const className = params.id.at(-1);
+    if (className === "HumanMessage" || className === "HumanMessageChunk") {
+      type = "user";
+    } else if (className === "AIMessage" || className === "AIMessageChunk") {
+      type = "assistant";
+    } else if (
+      className === "SystemMessage" ||
+      className === "SystemMessageChunk"
+    ) {
+      type = "system";
+    } else {
+      type = "unknown";
+    }
+    rest = params.kwargs as BaseMessageFields;
+  } else {
+    const { type: extractedType, ...otherParams } = params;
+    type = extractedType;
+    rest = otherParams;
+  }
   if (type === "human" || type === "user") {
     return new HumanMessage(rest);
   } else if (type === "ai" || type === "assistant") {

From ee79f89030a27bcc311232783ec1aad080552f16 Mon Sep 17 00:00:00 2001
From: Sam Trost <trost.sam@gmail.com>
Date: Thu, 3 Oct 2024 19:00:23 -0400
Subject: [PATCH 274/344] fix(pinecone): fix PineconeStore to support null or
 undefined pageContent (#6920)

Co-authored-by: Jacob Lee <jacoblee93@gmail.com>
---
 .../src/tests/vectorstores.test.ts            | 30 ++++++++++++++++++-
 libs/langchain-pinecone/src/vectorstores.ts   |  2 +-
 2 files changed, 30 insertions(+), 2 deletions(-)

diff --git a/libs/langchain-pinecone/src/tests/vectorstores.test.ts b/libs/langchain-pinecone/src/tests/vectorstores.test.ts
index c83d0efe3af5..5ca1d284248e 100644
--- a/libs/langchain-pinecone/src/tests/vectorstores.test.ts
+++ b/libs/langchain-pinecone/src/tests/vectorstores.test.ts
@@ -1,5 +1,5 @@
 /* eslint-disable @typescript-eslint/no-explicit-any */
-import { jest, test, expect } from "@jest/globals";
+import { expect, jest, test } from "@jest/globals";
 import { FakeEmbeddings } from "@langchain/core/utils/testing";
 import { PineconeStore } from "../vectorstores.js";
 
@@ -119,6 +119,34 @@ test("PineconeStore with string arrays", async () => {
   ]);
 });
 
+describe("PineconeStore with null pageContent", () => {
+  it("should handle null pageContent correctly in _formatMatches", async () => {
+    const mockQueryResponse = {
+      matches: [
+        {
+          id: "1",
+          score: 0.9,
+          metadata: { textKey: null, otherKey: "value" },
+        },
+      ],
+    };
+
+    const client = {
+      namespace: jest.fn<any>().mockReturnValue({
+        query: jest.fn<any>().mockResolvedValue(mockQueryResponse),
+      }),
+    };
+    const embeddings = new FakeEmbeddings();
+
+    const store = new PineconeStore(embeddings, {
+      pineconeIndex: client as any,
+    });
+
+    const results = await store.similaritySearchVectorWithScore([], 0);
+    expect(results[0][0].pageContent).toEqual("");
+  });
+});
+
 test("PineconeStore can instantiate without passing in client", async () => {
   const embeddings = new FakeEmbeddings();
 
diff --git a/libs/langchain-pinecone/src/vectorstores.ts b/libs/langchain-pinecone/src/vectorstores.ts
index 2228d2456744..3e4db8bbc30c 100644
--- a/libs/langchain-pinecone/src/vectorstores.ts
+++ b/libs/langchain-pinecone/src/vectorstores.ts
@@ -425,7 +425,7 @@ export class PineconeStore extends VectorStore {
         documentsWithScores.push([
           new Document({
             id,
-            pageContent: pageContent.toString(),
+            pageContent: pageContent?.toString() ?? "",
             metadata,
           }),
           score,

From 85dab3f3b6ee4e85823e710e52f2babb9b27eda6 Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Thu, 3 Oct 2024 16:09:06 -0700
Subject: [PATCH 275/344] chore(pinecone): Release 0.1.1 (#6932)

---
 libs/langchain-pinecone/package.json | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/libs/langchain-pinecone/package.json b/libs/langchain-pinecone/package.json
index 783fe4e68ada..1d06ca43267d 100644
--- a/libs/langchain-pinecone/package.json
+++ b/libs/langchain-pinecone/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/pinecone",
-  "version": "0.1.0",
+  "version": "0.1.1",
   "description": "LangChain integration for Pinecone's vector database",
   "type": "module",
   "engines": {

From f6026dd650087a24d934546602f3caffd7b3e120 Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Thu, 3 Oct 2024 16:12:33 -0700
Subject: [PATCH 276/344] chore(core): Release 0.3.7 (#6933)

---
 langchain-core/package.json | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/langchain-core/package.json b/langchain-core/package.json
index 4a7c7bee985a..41bd0ee835ab 100644
--- a/langchain-core/package.json
+++ b/langchain-core/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/core",
-  "version": "0.3.6",
+  "version": "0.3.7",
   "description": "Core LangChain.js abstractions and schemas",
   "type": "module",
   "engines": {

From 759597836842713680e4165c9854168ec7e503cb Mon Sep 17 00:00:00 2001
From: Bagatur <22008038+baskaryan@users.noreply.github.com>
Date: Thu, 3 Oct 2024 16:13:25 -0700
Subject: [PATCH 277/344] core[minor]: exclude model cache from serialization
 (#6929)

Co-authored-by: jacoblee93 <jacoblee93@gmail.com>
---
 langchain-core/src/language_models/base.ts           |  9 +++++----
 .../src/language_models/tests/chat_models.test.ts    | 12 ++++++++++++
 langchain-core/src/utils/testing/index.ts            |  7 +++++--
 3 files changed, 22 insertions(+), 6 deletions(-)

diff --git a/langchain-core/src/language_models/base.ts b/langchain-core/src/language_models/base.ts
index 80e1fa434969..4f1233426724 100644
--- a/langchain-core/src/language_models/base.ts
+++ b/langchain-core/src/language_models/base.ts
@@ -363,13 +363,14 @@ export abstract class BaseLanguageModel<
     callbackManager,
     ...params
   }: BaseLanguageModelParams) {
+    const { cache, ...rest } = params;
     super({
       callbacks: callbacks ?? callbackManager,
-      ...params,
+      ...rest,
     });
-    if (typeof params.cache === "object") {
-      this.cache = params.cache;
-    } else if (params.cache) {
+    if (typeof cache === "object") {
+      this.cache = cache;
+    } else if (cache) {
       this.cache = InMemoryCache.global();
     } else {
       this.cache = undefined;
diff --git a/langchain-core/src/language_models/tests/chat_models.test.ts b/langchain-core/src/language_models/tests/chat_models.test.ts
index 70ff187243e8..f335d5edc40f 100644
--- a/langchain-core/src/language_models/tests/chat_models.test.ts
+++ b/langchain-core/src/language_models/tests/chat_models.test.ts
@@ -323,3 +323,15 @@ test("Test ChatModel can stream back a custom event", async () => {
   }
   expect(customEvent).toBeDefined();
 });
+
+test(`Test ChatModel should not serialize a passed "cache" parameter`, async () => {
+  const model = new FakeListChatModel({
+    responses: ["hi"],
+    emitCustomEvent: true,
+    cache: true,
+  });
+  console.log(JSON.stringify(model));
+  expect(JSON.stringify(model)).toEqual(
+    `{"lc":1,"type":"constructor","id":["langchain","chat_models","fake-list","FakeListChatModel"],"kwargs":{"responses":["hi"],"emit_custom_event":true}}`
+  );
+});
diff --git a/langchain-core/src/utils/testing/index.ts b/langchain-core/src/utils/testing/index.ts
index f14629794293..59f8c8437662 100644
--- a/langchain-core/src/utils/testing/index.ts
+++ b/langchain-core/src/utils/testing/index.ts
@@ -354,6 +354,8 @@ export class FakeListChatModel extends BaseChatModel<FakeListChatModelCallOption
     return "FakeListChatModel";
   }
 
+  lc_serializable = true;
+
   responses: string[];
 
   i = 0;
@@ -362,8 +364,9 @@ export class FakeListChatModel extends BaseChatModel<FakeListChatModelCallOption
 
   emitCustomEvent = false;
 
-  constructor({ responses, sleep, emitCustomEvent }: FakeChatInput) {
-    super({});
+  constructor(params: FakeChatInput) {
+    super(params);
+    const { responses, sleep, emitCustomEvent } = params;
     this.responses = responses;
     this.sleep = sleep;
     this.emitCustomEvent = emitCustomEvent ?? this.emitCustomEvent;

From 1a2ffb8c490d51fe6f20eee9a26a8b4978b8f27a Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Fri, 4 Oct 2024 14:52:56 -0700
Subject: [PATCH 278/344] docs: Update integration contributing instructions
 (#6939)

---
 CONTRIBUTING.md                                   | 10 +++++++---
 docs/core_docs/docs/contributing/integrations.mdx |  8 ++++++--
 2 files changed, 13 insertions(+), 5 deletions(-)

diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md
index 5b49049e637a..66afe82b8794 100644
--- a/CONTRIBUTING.md
+++ b/CONTRIBUTING.md
@@ -105,9 +105,9 @@ You can invoke the script by calling `yarn release`. If new dependencies have be
 
 There are three parameters which can be passed to this script, one required and two optional.
 
-- __Required__: `<workspace name>`. eg: `@langchain/core` The name of the package to release. Can be found in the `name` value of the package's `package.json`
-- __Optional__: `--bump-deps` eg `--bump-deps` Will find all packages in the repo which depend on this workspace and checkout a new branch, update the dep version, run yarn install, commit & push to new branch. Generally, this is not necessary.
-- __Optional__: `--tag <tag>` eg `--tag beta` Add a tag to the NPM release. Useful if you want to push a release candidate.
+- **Required**: `<workspace name>`. eg: `@langchain/core` The name of the package to release. Can be found in the `name` value of the package's `package.json`
+- **Optional**: `--bump-deps` eg `--bump-deps` Will find all packages in the repo which depend on this workspace and checkout a new branch, update the dep version, run yarn install, commit & push to new branch. Generally, this is not necessary.
+- **Optional**: `--tag <tag>` eg `--tag beta` Add a tag to the NPM release. Useful if you want to push a release candidate.
 
 This script automatically bumps the package version, creates a new release branch with the changes, pushes the branch to GitHub, uses `release-it` to automatically release to NPM, and more depending on the flags passed.
 
@@ -323,6 +323,10 @@ Similar to linting, we recognize documentation can be annoying. If you do not wa
 
 Documentation and the skeleton lives under the `docs/` folder. Example code is imported from under the `examples/` folder.
 
+**If you are contributing an integration, please copy and use the appropriate template from here:**
+
+https://github.com/langchain-ai/langchainjs/tree/main/libs/langchain-scripts/src/cli/docs/templates
+
 ### Running examples
 
 If you add a new major piece of functionality, it is helpful to add an
diff --git a/docs/core_docs/docs/contributing/integrations.mdx b/docs/core_docs/docs/contributing/integrations.mdx
index 5012a2362945..61acf1ca4f03 100644
--- a/docs/core_docs/docs/contributing/integrations.mdx
+++ b/docs/core_docs/docs/contributing/integrations.mdx
@@ -96,8 +96,12 @@ For information on running and implementing tests, see the [Testing guide](/docs
 
 ### Write documentation
 
-Documentation is generated from Jupyter notebooks or `.mdx` files in the `docs/` directory. You should place the notebooks with examples
-to the relevant `docs/core_docs/docs/integrations` directory in the monorepo root.
+Please copy and use the appropriate template from here:
+
+https://github.com/langchain-ai/langchainjs/tree/main/libs/langchain-scripts/src/cli/docs/templates
+
+You should place the notebooks with examples
+in the relevant `docs/core_docs/docs/integrations` directory in the monorepo root.
 
 ### (If Necessary) Deprecate community integration
 

From 94e603e97a052d2a3bef42f5fb61f54056761bc1 Mon Sep 17 00:00:00 2001
From: mok-liee <6745620+mok-liee@users.noreply.github.com>
Date: Mon, 7 Oct 2024 18:50:54 +0200
Subject: [PATCH 279/344] fix: allow numberic value for keepAlive property
 (#6937)

Co-authored-by: Brace Sproul <braceasproul@gmail.com>
---
 libs/langchain-ollama/src/embeddings.ts | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/libs/langchain-ollama/src/embeddings.ts b/libs/langchain-ollama/src/embeddings.ts
index a7ff0199b44e..afdba456c108 100644
--- a/libs/langchain-ollama/src/embeddings.ts
+++ b/libs/langchain-ollama/src/embeddings.ts
@@ -23,7 +23,7 @@ interface OllamaEmbeddingsParams extends EmbeddingsParams {
   /**
    * Defaults to "5m"
    */
-  keepAlive?: string;
+  keepAlive?: string | number;
 
   /**
    * Whether or not to truncate the input text to fit inside the model's
@@ -45,7 +45,7 @@ export class OllamaEmbeddings extends Embeddings {
 
   baseUrl = "http://localhost:11434";
 
-  keepAlive = "5m";
+  keepAlive: string | number = "5m";
 
   requestOptions?: Partial<OllamaOptions>;
 

From 4afc11eb7d45d9d37da78d0d8e3c5a2138833526 Mon Sep 17 00:00:00 2001
From: Jamie Barton <jamie@notrab.dev>
Date: Tue, 8 Oct 2024 00:06:26 +0100
Subject: [PATCH 280/344] feat(community): add libsql vectorstore (#6904)

Co-authored-by: jacoblee93 <jacoblee93@gmail.com>
---
 .../docs/integrations/vectorstores/libsql.mdx | 164 ++++++++++++++
 libs/langchain-community/.gitignore           |   4 +
 libs/langchain-community/langchain.config.js  |   2 +
 libs/langchain-community/package.json         |  18 ++
 .../src/load/import_constants.ts              |   1 +
 .../src/vectorstores/libsql.ts                | 209 ++++++++++++++++++
 yarn.lock                                     | 176 ++++++++++++++-
 7 files changed, 566 insertions(+), 8 deletions(-)
 create mode 100644 docs/core_docs/docs/integrations/vectorstores/libsql.mdx
 create mode 100644 libs/langchain-community/src/vectorstores/libsql.ts

diff --git a/docs/core_docs/docs/integrations/vectorstores/libsql.mdx b/docs/core_docs/docs/integrations/vectorstores/libsql.mdx
new file mode 100644
index 000000000000..0d138c184220
--- /dev/null
+++ b/docs/core_docs/docs/integrations/vectorstores/libsql.mdx
@@ -0,0 +1,164 @@
+# libSQL
+
+[Turso](https://turso.tech) is a SQLite-compatible database built on [libSQL](https://docs.turso.tech/libsql), the Open Contribution fork of SQLite. Vector Similiarity Search is built into Turso and libSQL as a native datatype, enabling you to store and query vectors directly in the database.
+
+LangChain.js supports using a local libSQL, or remote Turso database as a vector store, and provides a simple API to interact with it.
+
+This guide provides a quick overview for getting started with libSQL vector stores. For detailed documentation of all libSQL features and configurations head to the API reference.
+
+## Overview
+
+## Integration details
+
+| Class               | Package                | JS support | Package latest                                                    |
+| ------------------- | ---------------------- | ---------- | ----------------------------------------------------------------- |
+| `LibSQLVectorStore` | `@langchain/community` | ✅         | ![npm version](https://img.shields.io/npm/v/@langchain/community) |
+
+## Setup
+
+To use libSQL vector stores, you'll need to create a Turso account or set up a local SQLite database, and install the `@langchain/community` integration package.
+
+This guide will also use OpenAI embeddings, which require you to install the `@langchain/openai` integration package. You can also use other supported embeddings models if you wish.
+
+You can use local SQLite when working with the libSQL vector store, or use a hosted Turso Database.
+
+import IntegrationInstallTooltip from "@mdx_components/integration_install_tooltip.mdx";
+
+<IntegrationInstallTooltip></IntegrationInstallTooltip>
+
+```bash npm2yarn
+npm install @libsql/client @langchain/openai @langchain/community
+```
+
+Now it's time to create a database. You can create one locally, or use a hosted Turso database.
+
+### Local libSQL
+
+Create a new local SQLite file and connect to the shell:
+
+```bash
+sqlite3 file.db
+```
+
+### Hosted Turso
+
+Visit [sqlite.new](https://sqlite.new) to create a new database, give it a name, and create a database auth token.
+
+Make sure to copy the database auth token, and the database URL, it should look something like:
+
+```text
+libsql://[database-name]-[your-username].turso.io
+```
+
+### Setup the table and index
+
+Execute the following SQL command to create a new table or add the embedding column to an existing table.
+
+Make sure to mopdify the following parts of the SQL:
+
+- `TABLE_NAME` is the name of the table you want to create.
+- `content` is used to store the `Document.pageContent` values.
+- `metadata` is used to store the `Document.metadata` object.
+- `EMBEDDING_COLUMN` is used to store the vector values, use the dimensions size used by the model you plan to use (1536 for OpenAI).
+
+```sql
+CREATE TABLE IF NOT EXISTS TABLE_NAME (
+    id INTEGER PRIMARY KEY AUTOINCREMENT,
+    content TEXT,
+    metadata TEXT,
+    EMBEDDING_COLUMN F32_BLOB(1536) -- 1536-dimensional f32 vector for OpenAI
+);
+```
+
+Now create an index on the `EMBEDDING_COLUMN` column:
+
+```sql
+CREATE INDEX IF NOT EXISTS idx_TABLE_NAME_EMBEDDING_COLUMN ON TABLE_NAME(libsql_vector_idx(EMBEDDING_COLUMN));
+```
+
+Make sure to replace the `TABLE_NAME` and `EMBEDDING_COLUMN` with the values you used in the previous step.
+
+## Instantiation
+
+To initialize a new `LibSQL` vector store, you need to provide the database URL and Auth Token when working remotely, or by passing the filename for a local SQLite.
+
+```typescript
+import { LibSQLVectorStore } from "@langchain/community/vectorstores/libsql";
+import { OpenAIEmbeddings } from "@langchain/openai";
+import { createClient } from "@libsql/client";
+
+const embeddings = new OpenAIEmbeddings({
+  model: "text-embedding-3-small",
+});
+
+const libsqlClient = createClient({
+  url: "libsql://[database-name]-[your-username].turso.io",
+  authToken: "...",
+});
+
+// Local instantiation
+// const libsqlClient = createClient({
+//  url: "file:./dev.db",
+// });
+
+const vectorStore = new LibSQLVectorStore(embeddings, {
+  db: libsqlClient,
+  tableName: "TABLE_NAME",
+  embeddingColumn: "EMBEDDING_COLUMN",
+  dimensions: 1536,
+});
+```
+
+## Manage vector store
+
+### Add items to vector store
+
+```typescript
+import type { Document } from "@langchain/core/documents";
+
+const documents: Document[] = [
+  { pageContent: "Hello", metadata: { topic: "greeting" } },
+  { pageContent: "Bye bye", metadata: { topic: "greeting" } },
+];
+
+await vectorStore.addDocuments(documents);
+```
+
+### Delete items from vector store
+
+```typescript
+await vectorStore.deleteDocuments({ ids: [1, 2] });
+```
+
+## Query vector store
+
+Once you have inserted the documents, you can query the vector store.
+
+### Query directly
+
+Performing a simple similarity search can be done as follows:
+
+```typescript
+const resultOne = await vectorStore.similaritySearch("hola", 1);
+
+for (const doc of similaritySearchResults) {
+  console.log(`${doc.pageContent} [${JSON.stringify(doc.metadata, null)}]`);
+}
+```
+
+For similarity search with scores:
+
+```typescript
+const similaritySearchWithScoreResults =
+  await vectorStore.similaritySearchWithScore("hola", 1);
+
+for (const [doc, score] of similaritySearchWithScoreResults) {
+  console.log(
+    `${score.toFixed(3)} ${doc.pageContent} [${JSON.stringify(doc.metadata)}`
+  );
+}
+```
+
+## API reference
+
+For detailed documentation of all `LibSQLVectorStore` features and configurations head to the API reference.
diff --git a/libs/langchain-community/.gitignore b/libs/langchain-community/.gitignore
index 0168b6a3643a..676b316638e8 100644
--- a/libs/langchain-community/.gitignore
+++ b/libs/langchain-community/.gitignore
@@ -370,6 +370,10 @@ vectorstores/lancedb.cjs
 vectorstores/lancedb.js
 vectorstores/lancedb.d.ts
 vectorstores/lancedb.d.cts
+vectorstores/libsql.cjs
+vectorstores/libsql.js
+vectorstores/libsql.d.ts
+vectorstores/libsql.d.cts
 vectorstores/milvus.cjs
 vectorstores/milvus.js
 vectorstores/milvus.d.ts
diff --git a/libs/langchain-community/langchain.config.js b/libs/langchain-community/langchain.config.js
index 61cdcbc7ab65..78118b4d1d5e 100644
--- a/libs/langchain-community/langchain.config.js
+++ b/libs/langchain-community/langchain.config.js
@@ -129,6 +129,7 @@ export const config = {
     "vectorstores/hnswlib": "vectorstores/hnswlib",
     "vectorstores/hanavector": "vectorstores/hanavector",
     "vectorstores/lancedb": "vectorstores/lancedb",
+    "vectorstores/libsql": "vectorstores/libsql",
     "vectorstores/milvus": "vectorstores/milvus",
     "vectorstores/momento_vector_index": "vectorstores/momento_vector_index",
     "vectorstores/mongodb_atlas": "vectorstores/mongodb_atlas",
@@ -375,6 +376,7 @@ export const config = {
     "vectorstores/hnswlib",
     "vectorstores/hanavector",
     "vectorstores/lancedb",
+    "vectorstores/libsql",
     "vectorstores/milvus",
     "vectorstores/momento_vector_index",
     "vectorstores/mongodb_atlas",
diff --git a/libs/langchain-community/package.json b/libs/langchain-community/package.json
index 652677c8f19a..1a7d9f9e6d4b 100644
--- a/libs/langchain-community/package.json
+++ b/libs/langchain-community/package.json
@@ -82,6 +82,7 @@
     "@langchain/scripts": ">=0.1.0 <0.2.0",
     "@langchain/standard-tests": "0.0.0",
     "@layerup/layerup-security": "^1.5.12",
+    "@libsql/client": "^0.14.0",
     "@mendable/firecrawl-js": "^0.0.36",
     "@mlc-ai/web-llm": ">=0.2.62 <0.3.0",
     "@mozilla/readability": "^0.4.4",
@@ -244,6 +245,7 @@
     "@huggingface/inference": "^2.6.4",
     "@langchain/core": ">=0.2.21 <0.4.0",
     "@layerup/layerup-security": "^1.5.12",
+    "@libsql/client": "^0.14.0",
     "@mendable/firecrawl-js": "^0.0.13",
     "@mlc-ai/web-llm": "*",
     "@mozilla/readability": "*",
@@ -421,6 +423,9 @@
     "@layerup/layerup-security": {
       "optional": true
     },
+    "@libsql/client": {
+      "optional": true
+    },
     "@mendable/firecrawl-js": {
       "optional": true
     },
@@ -1536,6 +1541,15 @@
       "import": "./vectorstores/lancedb.js",
       "require": "./vectorstores/lancedb.cjs"
     },
+    "./vectorstores/libsql": {
+      "types": {
+        "import": "./vectorstores/libsql.d.ts",
+        "require": "./vectorstores/libsql.d.cts",
+        "default": "./vectorstores/libsql.d.ts"
+      },
+      "import": "./vectorstores/libsql.js",
+      "require": "./vectorstores/libsql.cjs"
+    },
     "./vectorstores/milvus": {
       "types": {
         "import": "./vectorstores/milvus.d.ts",
@@ -3388,6 +3402,10 @@
     "vectorstores/lancedb.js",
     "vectorstores/lancedb.d.ts",
     "vectorstores/lancedb.d.cts",
+    "vectorstores/libsql.cjs",
+    "vectorstores/libsql.js",
+    "vectorstores/libsql.d.ts",
+    "vectorstores/libsql.d.cts",
     "vectorstores/milvus.cjs",
     "vectorstores/milvus.js",
     "vectorstores/milvus.d.ts",
diff --git a/libs/langchain-community/src/load/import_constants.ts b/libs/langchain-community/src/load/import_constants.ts
index 3044b499e239..963f64864a04 100644
--- a/libs/langchain-community/src/load/import_constants.ts
+++ b/libs/langchain-community/src/load/import_constants.ts
@@ -53,6 +53,7 @@ export const optionalImportEntrypoints: string[] = [
   "langchain_community/vectorstores/hnswlib",
   "langchain_community/vectorstores/hanavector",
   "langchain_community/vectorstores/lancedb",
+  "langchain_community/vectorstores/libsql",
   "langchain_community/vectorstores/milvus",
   "langchain_community/vectorstores/momento_vector_index",
   "langchain_community/vectorstores/mongodb_atlas",
diff --git a/libs/langchain-community/src/vectorstores/libsql.ts b/libs/langchain-community/src/vectorstores/libsql.ts
new file mode 100644
index 000000000000..3740c62d99db
--- /dev/null
+++ b/libs/langchain-community/src/vectorstores/libsql.ts
@@ -0,0 +1,209 @@
+import type { Client } from "@libsql/client";
+import { VectorStore } from "@langchain/core/vectorstores";
+import type { EmbeddingsInterface } from "@langchain/core/embeddings";
+import { Document } from "@langchain/core/documents";
+
+/**
+ * Interface for LibSQLVectorStore configuration options.
+ */
+export interface LibSQLVectorStoreArgs {
+  db: Client;
+  /** Name of the table to store vectors. Defaults to "vectors". */
+  table?: string;
+  /** Name of the column to store embeddings. Defaults to "embedding". */
+  column?: string;
+  // TODO: Support adding additional columns to the table for metadata.
+}
+
+/**
+ * A vector store using LibSQL/Turso for storage and retrieval.
+ */
+export class LibSQLVectorStore extends VectorStore {
+  declare FilterType: (doc: Document) => boolean;
+
+  private db;
+
+  private readonly table: string;
+
+  private readonly column: string;
+
+  /**
+   * Returns the type of vector store.
+   * @returns {string} The string "libsql".
+   */
+  _vectorstoreType(): string {
+    return "libsql";
+  }
+
+  /**
+   * Initializes a new instance of the LibSQLVectorStore.
+   * @param {EmbeddingsInterface} embeddings - The embeddings interface to use.
+   * @param {Client} db - The LibSQL client instance.
+   * @param {LibSQLVectorStoreArgs} options - Configuration options for the vector store.
+   */
+  constructor(embeddings: EmbeddingsInterface, options: LibSQLVectorStoreArgs) {
+    super(embeddings, options);
+
+    this.db = options.db;
+    this.table = options.table || "vectors";
+    this.column = options.column || "embedding";
+  }
+
+  /**
+   * Adds documents to the vector store.
+   * @param {Document[]} documents - The documents to add.
+   * @returns {Promise<string[]>} The IDs of the added documents.
+   */
+  async addDocuments(documents: Document[]): Promise<string[]> {
+    const texts = documents.map(({ pageContent }) => pageContent);
+    const embeddings = await this.embeddings.embedDocuments(texts);
+
+    return this.addVectors(embeddings, documents);
+  }
+
+  /**
+   * Adds vectors to the vector store.
+   * @param {number[][]} vectors - The vectors to add.
+   * @param {Document[]} documents - The documents associated with the vectors.
+   * @returns {Promise<string[]>} The IDs of the added vectors.
+   */
+  async addVectors(
+    vectors: number[][],
+    documents: Document[]
+  ): Promise<string[]> {
+    const rows = vectors.map((embedding, idx) => ({
+      content: documents[idx].pageContent,
+      embedding: `[${embedding.join(",")}]`,
+      metadata: JSON.stringify(documents[idx].metadata),
+    }));
+
+    const batchSize = 100;
+    const ids: string[] = [];
+
+    for (let i = 0; i < rows.length; i += batchSize) {
+      const chunk = rows.slice(i, i + batchSize);
+      const insertQueries = chunk.map(
+        (row) =>
+          `INSERT INTO ${this.table} (content, metadata, ${this.column}) VALUES (${row.content}, ${row.metadata}, vector(${row.embedding})) RETURNING id`
+      );
+
+      const results = await this.db.batch(insertQueries);
+
+      for (const result of results) {
+        if (
+          result &&
+          result.rows &&
+          result.rows.length > 0 &&
+          result.rows[0].id != null
+        ) {
+          ids.push(result.rows[0].id.toString());
+        }
+      }
+    }
+
+    return ids;
+  }
+
+  /**
+   * Performs a similarity search using a vector query and returns documents with their scores.
+   * @param {number[]} query - The query vector.
+   * @param {number} k - The number of results to return.
+   * @returns {Promise<[Document, number][]>} An array of tuples containing the similar documents and their scores.
+   */
+  async similaritySearchVectorWithScore(
+    query: number[],
+    k: number
+    // filter is currently unused
+    // filter?: this["FilterType"]
+  ): Promise<[Document, number][]> {
+    // Potential SQL injection risk if query vector is not properly sanitized.
+    if (!query.every((num) => typeof num === "number" && !Number.isNaN(num))) {
+      throw new Error("Invalid query vector: all elements must be numbers");
+    }
+
+    const queryVector = `[${query.join(",")}]`;
+
+    const sql = `
+      SELECT content, metadata, vector_distance_cos(${this.column}, vector(${queryVector})) AS distance
+      FROM vector_top_k('${this.table}_idx', vector(${queryVector}), ${k})
+      JOIN ${this.table} ON ${this.table}.rowid = id
+    `;
+
+    const results = await this.db.execute(sql);
+
+    return results.rows.map((row: any) => {
+      const metadata = JSON.parse(row.metadata);
+
+      const doc = new Document({
+        metadata,
+        pageContent: row.content,
+      });
+
+      return [doc, row.distance];
+    });
+  }
+
+  /**
+   * Deletes vectors from the store.
+   * @param {Object} params - Delete parameters.
+   * @param {string[] | number[]} [params.ids] - The ids of the vectors to delete.
+   * @returns {Promise<void>}
+   */
+  async delete(params: { ids?: string[] | number[] }): Promise<void> {
+    if (!params.ids) {
+      await this.db.execute(`DELETE FROM ${this.table}`);
+      return;
+    }
+
+    const idsToDelete = params.ids.join(", ");
+
+    await this.db.execute({
+      sql: `DELETE FROM ${this.table} WHERE id IN (?)`,
+      args: [idsToDelete],
+    });
+  }
+
+  /**
+   * Creates a new LibSQLVectorStore instance from texts.
+   * @param {string[]} texts - The texts to add to the store.
+   * @param {object[] | object} metadatas - The metadata for the texts.
+   * @param {EmbeddingsInterface} embeddings - The embeddings interface to use.
+   * @param {Client} dbClient - The LibSQL client instance.
+   * @param {LibSQLVectorStoreArgs} [options] - Configuration options for the vector store.
+   * @returns {Promise<LibSQLVectorStore>} A new LibSQLVectorStore instance.
+   */
+  static async fromTexts(
+    texts: string[],
+    metadatas: object[] | object,
+    embeddings: EmbeddingsInterface,
+    options: LibSQLVectorStoreArgs
+  ): Promise<LibSQLVectorStore> {
+    const docs = texts.map((text, i) => {
+      const metadata = Array.isArray(metadatas) ? metadatas[i] : metadatas;
+
+      return new Document({ pageContent: text, metadata });
+    });
+
+    return LibSQLVectorStore.fromDocuments(docs, embeddings, options);
+  }
+
+  /**
+   * Creates a new LibSQLVectorStore instance from documents.
+   * @param {Document[]} docs - The documents to add to the store.
+   * @param {EmbeddingsInterface} embeddings - The embeddings interface to use.
+   * @param {Client} dbClient - The LibSQL client instance.
+   * @param {LibSQLVectorStoreArgs} [options] - Configuration options for the vector store.
+   * @returns {Promise<LibSQLVectorStore>} A new LibSQLVectorStore instance.
+   */
+  static async fromDocuments(
+    docs: Document[],
+    embeddings: EmbeddingsInterface,
+    options: LibSQLVectorStoreArgs
+  ): Promise<LibSQLVectorStore> {
+    const instance = new this(embeddings, options);
+
+    await instance.addDocuments(docs);
+
+    return instance;
+  }
+}
diff --git a/yarn.lock b/yarn.lock
index 5c5c5c056200..a3ca27a086c9 100644
--- a/yarn.lock
+++ b/yarn.lock
@@ -11469,6 +11469,7 @@ __metadata:
     "@langchain/scripts": ">=0.1.0 <0.2.0"
     "@langchain/standard-tests": 0.0.0
     "@layerup/layerup-security": ^1.5.12
+    "@libsql/client": ^0.14.0
     "@mendable/firecrawl-js": ^0.0.36
     "@mlc-ai/web-llm": ">=0.2.62 <0.3.0"
     "@mozilla/readability": ^0.4.4
@@ -11639,6 +11640,7 @@ __metadata:
     "@huggingface/inference": ^2.6.4
     "@langchain/core": ">=0.2.21 <0.4.0"
     "@layerup/layerup-security": ^1.5.12
+    "@libsql/client": ^0.14.0
     "@mendable/firecrawl-js": ^0.0.13
     "@mlc-ai/web-llm": "*"
     "@mozilla/readability": "*"
@@ -11787,6 +11789,8 @@ __metadata:
       optional: true
     "@layerup/layerup-security":
       optional: true
+    "@libsql/client":
+      optional: true
     "@mendable/firecrawl-js":
       optional: true
     "@mlc-ai/web-llm":
@@ -12930,6 +12934,106 @@ __metadata:
   languageName: node
   linkType: hard
 
+"@libsql/client@npm:^0.14.0":
+  version: 0.14.0
+  resolution: "@libsql/client@npm:0.14.0"
+  dependencies:
+    "@libsql/core": ^0.14.0
+    "@libsql/hrana-client": ^0.7.0
+    js-base64: ^3.7.5
+    libsql: ^0.4.4
+    promise-limit: ^2.7.0
+  checksum: 7eeaf95d76da8870544c27fcf1206c377a0fc3df72b174393a1fb17fc92ca568d9a42d24d65e771ca77edc5108e853a7ac18540ad0242da759f2ec1191103d99
+  languageName: node
+  linkType: hard
+
+"@libsql/core@npm:^0.14.0":
+  version: 0.14.0
+  resolution: "@libsql/core@npm:0.14.0"
+  dependencies:
+    js-base64: ^3.7.5
+  checksum: dae12491a277e03c3729de069bee9af9689f0c178b0fd1ef342f03aab94e4ccba8801e11d0393e0e3a77596e34f101b69b7f07f16f6b34a09eca698e340bed36
+  languageName: node
+  linkType: hard
+
+"@libsql/darwin-arm64@npm:0.4.6":
+  version: 0.4.6
+  resolution: "@libsql/darwin-arm64@npm:0.4.6"
+  conditions: os=darwin & cpu=arm64
+  languageName: node
+  linkType: hard
+
+"@libsql/darwin-x64@npm:0.4.6":
+  version: 0.4.6
+  resolution: "@libsql/darwin-x64@npm:0.4.6"
+  conditions: os=darwin & cpu=x64
+  languageName: node
+  linkType: hard
+
+"@libsql/hrana-client@npm:^0.7.0":
+  version: 0.7.0
+  resolution: "@libsql/hrana-client@npm:0.7.0"
+  dependencies:
+    "@libsql/isomorphic-fetch": ^0.3.1
+    "@libsql/isomorphic-ws": ^0.1.5
+    js-base64: ^3.7.5
+    node-fetch: ^3.3.2
+  checksum: 0d36931ca3a01144dc14294d1d9666ee64724c6ab4889890ff0bc45564369503f6abccbc448518485af107bd69f49d35878059c46d98dacb34db4757b52c406a
+  languageName: node
+  linkType: hard
+
+"@libsql/isomorphic-fetch@npm:^0.3.1":
+  version: 0.3.1
+  resolution: "@libsql/isomorphic-fetch@npm:0.3.1"
+  checksum: 9f131cae3b14c39712f1140e21b2ab1ccc81b5f6ad2aa90d739dc8df0602109a5c4c0ea820dcd39632ace7a4b247bc31e2a5e79cd6efaf5f1777650aac9ac694
+  languageName: node
+  linkType: hard
+
+"@libsql/isomorphic-ws@npm:^0.1.5":
+  version: 0.1.5
+  resolution: "@libsql/isomorphic-ws@npm:0.1.5"
+  dependencies:
+    "@types/ws": ^8.5.4
+    ws: ^8.13.0
+  checksum: 8255a0f4cae8ea66c94d6ab02ca57ddc7d6472c43700fd089e615e2df56028bf3723f694c91fbd76db403772f43f49cf2545e29e7ac18f77aa482fcfed71c940
+  languageName: node
+  linkType: hard
+
+"@libsql/linux-arm64-gnu@npm:0.4.6":
+  version: 0.4.6
+  resolution: "@libsql/linux-arm64-gnu@npm:0.4.6"
+  conditions: os=linux & cpu=arm64
+  languageName: node
+  linkType: hard
+
+"@libsql/linux-arm64-musl@npm:0.4.6":
+  version: 0.4.6
+  resolution: "@libsql/linux-arm64-musl@npm:0.4.6"
+  conditions: os=linux & cpu=arm64
+  languageName: node
+  linkType: hard
+
+"@libsql/linux-x64-gnu@npm:0.4.6":
+  version: 0.4.6
+  resolution: "@libsql/linux-x64-gnu@npm:0.4.6"
+  conditions: os=linux & cpu=x64
+  languageName: node
+  linkType: hard
+
+"@libsql/linux-x64-musl@npm:0.4.6":
+  version: 0.4.6
+  resolution: "@libsql/linux-x64-musl@npm:0.4.6"
+  conditions: os=linux & cpu=x64
+  languageName: node
+  linkType: hard
+
+"@libsql/win32-x64-msvc@npm:0.4.6":
+  version: 0.4.6
+  resolution: "@libsql/win32-x64-msvc@npm:0.4.6"
+  conditions: os=win32 & cpu=x64
+  languageName: node
+  linkType: hard
+
 "@mapbox/node-pre-gyp@npm:^1.0.0":
   version: 1.0.10
   resolution: "@mapbox/node-pre-gyp@npm:1.0.10"
@@ -13118,6 +13222,13 @@ __metadata:
   languageName: node
   linkType: hard
 
+"@neon-rs/load@npm:^0.0.4":
+  version: 0.0.4
+  resolution: "@neon-rs/load@npm:0.0.4"
+  checksum: ceed42a681980f4c96152857f6846434e3a89e25cac14228604a55e7992e96af01f30629026a498341984b405a2687099e56256a9eded9fee5393facca1ef762
+  languageName: node
+  linkType: hard
+
 "@neon-rs/load@npm:^0.0.74":
   version: 0.0.74
   resolution: "@neon-rs/load@npm:0.0.74"
@@ -19626,6 +19737,15 @@ __metadata:
   languageName: node
   linkType: hard
 
+"@types/ws@npm:^8.5.4":
+  version: 8.5.12
+  resolution: "@types/ws@npm:8.5.12"
+  dependencies:
+    "@types/node": "*"
+  checksum: ddefb6ad1671f70ce73b38a5f47f471d4d493864fca7c51f002a86e5993d031294201c5dced6d5018fb8905ad46888d65c7f20dd54fc165910b69f42fba9a6d0
+  languageName: node
+  linkType: hard
+
 "@types/ws@npm:^8.5.5":
   version: 8.5.7
   resolution: "@types/ws@npm:8.5.7"
@@ -25043,6 +25163,13 @@ __metadata:
   languageName: node
   linkType: hard
 
+"detect-libc@npm:2.0.2, detect-libc@npm:^2.0.2":
+  version: 2.0.2
+  resolution: "detect-libc@npm:2.0.2"
+  checksum: 2b2cd3649b83d576f4be7cc37eb3b1815c79969c8b1a03a40a4d55d83bc74d010753485753448eacb98784abf22f7dbd3911fd3b60e29fda28fed2d1a997944d
+  languageName: node
+  linkType: hard
+
 "detect-libc@npm:^2.0.0":
   version: 2.0.1
   resolution: "detect-libc@npm:2.0.1"
@@ -25050,13 +25177,6 @@ __metadata:
   languageName: node
   linkType: hard
 
-"detect-libc@npm:^2.0.2":
-  version: 2.0.2
-  resolution: "detect-libc@npm:2.0.2"
-  checksum: 2b2cd3649b83d576f4be7cc37eb3b1815c79969c8b1a03a40a4d55d83bc74d010753485753448eacb98784abf22f7dbd3911fd3b60e29fda28fed2d1a997944d
-  languageName: node
-  linkType: hard
-
 "detect-newline@npm:^3.0.0":
   version: 3.1.0
   resolution: "detect-newline@npm:3.1.0"
@@ -32147,7 +32267,7 @@ __metadata:
   languageName: node
   linkType: hard
 
-"js-base64@npm:3.7.7":
+"js-base64@npm:3.7.7, js-base64@npm:^3.7.5":
   version: 3.7.7
   resolution: "js-base64@npm:3.7.7"
   checksum: d1b02971db9dc0fd35baecfaf6ba499731fb44fe3373e7e1d6681fbd3ba665f29e8d9d17910254ef8104e2cb8b44117fe4202d3dc54c7cafe9ba300fe5433358
@@ -32880,6 +33000,39 @@ __metadata:
   languageName: node
   linkType: hard
 
+"libsql@npm:^0.4.4":
+  version: 0.4.6
+  resolution: "libsql@npm:0.4.6"
+  dependencies:
+    "@libsql/darwin-arm64": 0.4.6
+    "@libsql/darwin-x64": 0.4.6
+    "@libsql/linux-arm64-gnu": 0.4.6
+    "@libsql/linux-arm64-musl": 0.4.6
+    "@libsql/linux-x64-gnu": 0.4.6
+    "@libsql/linux-x64-musl": 0.4.6
+    "@libsql/win32-x64-msvc": 0.4.6
+    "@neon-rs/load": ^0.0.4
+    detect-libc: 2.0.2
+  dependenciesMeta:
+    "@libsql/darwin-arm64":
+      optional: true
+    "@libsql/darwin-x64":
+      optional: true
+    "@libsql/linux-arm64-gnu":
+      optional: true
+    "@libsql/linux-arm64-musl":
+      optional: true
+    "@libsql/linux-x64-gnu":
+      optional: true
+    "@libsql/linux-x64-musl":
+      optional: true
+    "@libsql/win32-x64-msvc":
+      optional: true
+  checksum: 0c2e864172d43bbf9555eeb1e5aba41e1fe86cb3eb05f99a8ed1b92afc702ec84193fb207163d7e3b291a65d86735f45a86138c03b919fcf0edca054cd0ea1b3
+  conditions: (os=darwin | os=linux | os=win32) & (cpu=x64 | cpu=arm64 | cpu=wasm32)
+  languageName: node
+  linkType: hard
+
 "lie@npm:~3.3.0":
   version: 3.3.0
   resolution: "lie@npm:3.3.0"
@@ -37227,6 +37380,13 @@ __metadata:
   languageName: node
   linkType: hard
 
+"promise-limit@npm:^2.7.0":
+  version: 2.7.0
+  resolution: "promise-limit@npm:2.7.0"
+  checksum: 3e20a46d752ab41c921feceb668b3a6d000438573e71342d42bf63373fdbafbf4b6a3f88ef5ff902a2a37be28152dc74e618e863134fd4c08c196448f4a6d28f
+  languageName: node
+  linkType: hard
+
 "promise-retry@npm:^2.0.1":
   version: 2.0.1
   resolution: "promise-retry@npm:2.0.1"

From 46b5c52ef302658c9b81a470ea630ffd02b4df7b Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Tue, 8 Oct 2024 11:41:01 -0700
Subject: [PATCH 281/344] feat(core): Allow generic configurable type to be
 passed into RunnableConfig (#6931)

---
 langchain-core/src/runnables/types.ts | 7 +++++--
 1 file changed, 5 insertions(+), 2 deletions(-)

diff --git a/langchain-core/src/runnables/types.ts b/langchain-core/src/runnables/types.ts
index 26c40bcfdd4e..f40d80ee3831 100644
--- a/langchain-core/src/runnables/types.ts
+++ b/langchain-core/src/runnables/types.ts
@@ -77,13 +77,16 @@ export interface Node {
   metadata?: Record<string, any>;
 }
 
-export interface RunnableConfig extends BaseCallbackConfig {
+export interface RunnableConfig<
+  // eslint-disable-next-line @typescript-eslint/no-explicit-any
+  ConfigurableFieldType extends Record<string, any> = Record<string, any>
+> extends BaseCallbackConfig {
   /**
    * Runtime values for attributes previously made configurable on this Runnable,
    * or sub-Runnables.
    */
   // eslint-disable-next-line @typescript-eslint/no-explicit-any
-  configurable?: Record<string, any>;
+  configurable?: ConfigurableFieldType;
 
   /**
    * Maximum number of times a call can recurse. If not provided, defaults to 25.

From bd5330e68a2fc44ef3e86ef4c17fd272219058fe Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Tue, 8 Oct 2024 11:58:21 -0700
Subject: [PATCH 282/344] chore(core): Release 0.3.8 (#6951)

---
 langchain-core/package.json | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/langchain-core/package.json b/langchain-core/package.json
index 41bd0ee835ab..beb3246d2899 100644
--- a/langchain-core/package.json
+++ b/langchain-core/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/core",
-  "version": "0.3.7",
+  "version": "0.3.8",
   "description": "Core LangChain.js abstractions and schemas",
   "type": "module",
   "engines": {

From a55b4d173ffeea6d0a27a3c1b2902abc9f46ca25 Mon Sep 17 00:00:00 2001
From: Erick Friis <erick@langchain.dev>
Date: Tue, 8 Oct 2024 20:50:23 -0700
Subject: [PATCH 283/344] infra: remove spam-comment-filter.yml workflow

---
 .github/workflows/spam-comment-filter.yml | 43 -----------------------
 1 file changed, 43 deletions(-)
 delete mode 100644 .github/workflows/spam-comment-filter.yml

diff --git a/.github/workflows/spam-comment-filter.yml b/.github/workflows/spam-comment-filter.yml
deleted file mode 100644
index 4f974e6e9941..000000000000
--- a/.github/workflows/spam-comment-filter.yml
+++ /dev/null
@@ -1,43 +0,0 @@
-name: Spam Comment Filter
-
-on:
-  issue_comment:
-    types: [created]
-  pull_request_review_comment:
-    types: [created]
-
-jobs:
-  filter_spam:
-    runs-on: ubuntu-latest
-    steps:
-      - uses: actions/checkout@v4
-      - name: Use Node.js 18.x
-        uses: actions/setup-node@v3
-        with:
-          node-version: 18.x
-      - name: Check issue body against regex
-        id: regex_check
-        env:
-          COMMENT_BODY: ${{ github.event.comment.body }}
-        run: |
-          REGEX='^download\s+(?:https?:\/\/)?[\w-]+(\.[\w-]+)+[^\s]+\s+password:\s*.+\s+in the installer menu, select\s*.+$'
-          if echo "$COMMENT_BODY" | tr '\n' ' ' | grep -qiP "$REGEX"; then
-            echo "REGEX_MATCHED=true" >> $GITHUB_OUTPUT
-          else
-            echo "REGEX_MATCHED=false" >> $GITHUB_OUTPUT
-          fi
-      - name: Install dependencies
-        if: steps.regex_check.outputs.REGEX_MATCHED == 'true'
-        run: cd ./libs/langchain-scripts && yarn workspaces focus
-      - name: Build scripts
-        if: steps.regex_check.outputs.REGEX_MATCHED == 'true'
-        run: cd ./libs/langchain-scripts && yarn build:internal
-      - name: Run spam detection script
-        if: steps.regex_check.outputs.REGEX_MATCHED == 'true'
-        env:
-          SPAM_COMMENT_GITHUB_TOKEN: ${{ secrets.SPAM_COMMENT_GITHUB_TOKEN }}
-          COMMENT_JSON: ${{ toJson(github.event.comment) }}
-          COMMENT_ID: ${{ github.event.comment.id }}
-          REPO_OWNER: ${{ github.repository_owner }}
-          REPO_NAME: ${{ github.event.repository.name }}
-        run: cd ./libs/langchain-scripts && yarn filter_spam_comment

From f9b85762bcded3de483c99dd52c6adeb62b83758 Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Wed, 9 Oct 2024 18:31:25 -0700
Subject: [PATCH 284/344] feat(core): Allow overriding config type of
 RunnableLikes (#6958)

---
 langchain-core/src/runnables/base.ts    | 149 +++++++++++++++++-------
 langchain-core/src/runnables/history.ts |   6 +-
 2 files changed, 113 insertions(+), 42 deletions(-)

diff --git a/langchain-core/src/runnables/base.ts b/langchain-core/src/runnables/base.ts
index 8fe8e49f2f8c..0890dc1463cb 100644
--- a/langchain-core/src/runnables/base.ts
+++ b/langchain-core/src/runnables/base.ts
@@ -58,14 +58,18 @@ import { ToolCall } from "../messages/tool.js";
 
 export { type RunnableInterface, RunnableBatchOptions };
 
-export type RunnableFunc<RunInput, RunOutput> = (
+export type RunnableFunc<
+  RunInput,
+  RunOutput,
+  CallOptions extends RunnableConfig = RunnableConfig
+> = (
   input: RunInput,
   options:
-    | RunnableConfig
+    | CallOptions
     // eslint-disable-next-line @typescript-eslint/no-explicit-any
     | Record<string, any>
     // eslint-disable-next-line @typescript-eslint/no-explicit-any
-    | (Record<string, any> & RunnableConfig)
+    | (Record<string, any> & CallOptions)
 ) => RunOutput | Promise<RunOutput>;
 
 export type RunnableMapLike<RunInput, RunOutput> = {
@@ -73,9 +77,15 @@ export type RunnableMapLike<RunInput, RunOutput> = {
 };
 
 // eslint-disable-next-line @typescript-eslint/no-explicit-any
-export type RunnableLike<RunInput = any, RunOutput = any> =
-  | RunnableInterface<RunInput, RunOutput>
-  | RunnableFunc<RunInput, RunOutput>
+export type RunnableLike<
+  // eslint-disable-next-line @typescript-eslint/no-explicit-any
+  RunInput = any,
+  // eslint-disable-next-line @typescript-eslint/no-explicit-any
+  RunOutput = any,
+  CallOptions extends RunnableConfig = RunnableConfig
+> =
+  | RunnableInterface<RunInput, RunOutput, CallOptions>
+  | RunnableFunc<RunInput, RunOutput, CallOptions>
   | RunnableMapLike<RunInput, RunOutput>;
 
 export type RunnableRetryFailedAttemptHandler = (
@@ -471,7 +481,7 @@ export abstract class Runnable<
       runManager?: CallbackManagerForChainRun,
       options?: Partial<CallOptions>
     ) => AsyncGenerator<O>,
-    options?: CallOptions & { runType?: string }
+    options?: Partial<CallOptions> & { runType?: string }
   ): AsyncGenerator<O> {
     let finalInput: I | undefined;
     let finalInputSupported = true;
@@ -2234,15 +2244,28 @@ export class RunnableTraceable<RunInput, RunOutput> extends Runnable<
   }
 }
 
-function assertNonTraceableFunction<RunInput, RunOutput>(
+function assertNonTraceableFunction<
+  RunInput,
+  RunOutput,
+  CallOptions extends RunnableConfig = RunnableConfig
+>(
   func:
-    | RunnableFunc<RunInput, RunOutput | Runnable<RunInput, RunOutput>>
+    | RunnableFunc<
+        RunInput,
+        RunOutput | Runnable<RunInput, RunOutput, CallOptions>,
+        CallOptions
+      >
     | TraceableFunction<
-        RunnableFunc<RunInput, RunOutput | Runnable<RunInput, RunOutput>>
+        RunnableFunc<
+          RunInput,
+          RunOutput | Runnable<RunInput, RunOutput, CallOptions>,
+          CallOptions
+        >
       >
 ): asserts func is RunnableFunc<
   RunInput,
-  RunOutput | Runnable<RunInput, RunOutput>
+  RunOutput | Runnable<RunInput, RunOutput, CallOptions>,
+  CallOptions
 > {
   if (isTraceableFunction(func)) {
     throw new Error(
@@ -2254,10 +2277,11 @@ function assertNonTraceableFunction<RunInput, RunOutput>(
 /**
  * A runnable that runs a callable.
  */
-export class RunnableLambda<RunInput, RunOutput> extends Runnable<
+export class RunnableLambda<
   RunInput,
-  RunOutput
-> {
+  RunOutput,
+  CallOptions extends RunnableConfig = RunnableConfig
+> extends Runnable<RunInput, RunOutput, CallOptions> {
   static lc_name() {
     return "RunnableLambda";
   }
@@ -2266,21 +2290,31 @@ export class RunnableLambda<RunInput, RunOutput> extends Runnable<
 
   protected func: RunnableFunc<
     RunInput,
-    RunOutput | Runnable<RunInput, RunOutput>
+    RunOutput | Runnable<RunInput, RunOutput, CallOptions>,
+    CallOptions
   >;
 
   constructor(fields: {
     func:
-      | RunnableFunc<RunInput, RunOutput | Runnable<RunInput, RunOutput>>
+      | RunnableFunc<
+          RunInput,
+          RunOutput | Runnable<RunInput, RunOutput, CallOptions>,
+          CallOptions
+        >
       | TraceableFunction<
-          RunnableFunc<RunInput, RunOutput | Runnable<RunInput, RunOutput>>
+          RunnableFunc<
+            RunInput,
+            RunOutput | Runnable<RunInput, RunOutput, CallOptions>,
+            CallOptions
+          >
         >;
   }) {
     if (isTraceableFunction(fields.func)) {
       // eslint-disable-next-line no-constructor-return
       return RunnableTraceable.from(fields.func) as unknown as RunnableLambda<
         RunInput,
-        RunOutput
+        RunOutput,
+        CallOptions
       >;
     }
 
@@ -2290,23 +2324,51 @@ export class RunnableLambda<RunInput, RunOutput> extends Runnable<
     this.func = fields.func;
   }
 
-  static from<RunInput, RunOutput>(
-    func: RunnableFunc<RunInput, RunOutput | Runnable<RunInput, RunOutput>>
-  ): RunnableLambda<RunInput, RunOutput>;
+  static from<
+    RunInput,
+    RunOutput,
+    CallOptions extends RunnableConfig = RunnableConfig
+  >(
+    func: RunnableFunc<
+      RunInput,
+      RunOutput | Runnable<RunInput, RunOutput, CallOptions>,
+      CallOptions
+    >
+  ): RunnableLambda<RunInput, RunOutput, CallOptions>;
 
-  static from<RunInput, RunOutput>(
+  static from<
+    RunInput,
+    RunOutput,
+    CallOptions extends RunnableConfig = RunnableConfig
+  >(
     func: TraceableFunction<
-      RunnableFunc<RunInput, RunOutput | Runnable<RunInput, RunOutput>>
+      RunnableFunc<
+        RunInput,
+        RunOutput | Runnable<RunInput, RunOutput, CallOptions>,
+        CallOptions
+      >
     >
-  ): RunnableLambda<RunInput, RunOutput>;
+  ): RunnableLambda<RunInput, RunOutput, CallOptions>;
 
-  static from<RunInput, RunOutput>(
+  static from<
+    RunInput,
+    RunOutput,
+    CallOptions extends RunnableConfig = RunnableConfig
+  >(
     func:
-      | RunnableFunc<RunInput, RunOutput | Runnable<RunInput, RunOutput>>
+      | RunnableFunc<
+          RunInput,
+          RunOutput | Runnable<RunInput, RunOutput, CallOptions>,
+          CallOptions
+        >
       | TraceableFunction<
-          RunnableFunc<RunInput, RunOutput | Runnable<RunInput, RunOutput>>
+          RunnableFunc<
+            RunInput,
+            RunOutput | Runnable<RunInput, RunOutput, CallOptions>,
+            CallOptions
+          >
         >
-  ): RunnableLambda<RunInput, RunOutput> {
+  ): RunnableLambda<RunInput, RunOutput, CallOptions> {
     return new RunnableLambda({
       func,
     });
@@ -2314,7 +2376,7 @@ export class RunnableLambda<RunInput, RunOutput> extends Runnable<
 
   async _invoke(
     input: RunInput,
-    config?: Partial<RunnableConfig>,
+    config?: Partial<CallOptions>,
     runManager?: CallbackManagerForChainRun
   ) {
     return new Promise<RunOutput>((resolve, reject) => {
@@ -2390,7 +2452,7 @@ export class RunnableLambda<RunInput, RunOutput> extends Runnable<
 
   async invoke(
     input: RunInput,
-    options?: Partial<RunnableConfig>
+    options?: Partial<CallOptions>
   ): Promise<RunOutput> {
     return this._callWithConfig(this._invoke.bind(this), input, options);
   }
@@ -2398,7 +2460,7 @@ export class RunnableLambda<RunInput, RunOutput> extends Runnable<
   async *_transform(
     generator: AsyncGenerator<RunInput>,
     runManager?: CallbackManagerForChainRun,
-    config?: Partial<RunnableConfig>
+    config?: Partial<CallOptions>
   ): AsyncGenerator<RunOutput> {
     let finalChunk: RunInput | undefined;
     for await (const chunk of generator) {
@@ -2464,7 +2526,7 @@ export class RunnableLambda<RunInput, RunOutput> extends Runnable<
 
   transform(
     generator: AsyncGenerator<RunInput>,
-    options?: Partial<RunnableConfig>
+    options?: Partial<CallOptions>
   ): AsyncGenerator<RunOutput> {
     return this._transformStreamWithConfig(
       generator,
@@ -2475,7 +2537,7 @@ export class RunnableLambda<RunInput, RunOutput> extends Runnable<
 
   async stream(
     input: RunInput,
-    options?: Partial<RunnableConfig>
+    options?: Partial<CallOptions>
   ): Promise<IterableReadableStream<RunOutput>> {
     async function* generator() {
       yield input;
@@ -2720,16 +2782,25 @@ export class RunnableWithFallbacks<RunInput, RunOutput> extends Runnable<
 }
 
 // TODO: Figure out why the compiler needs help eliminating Error as a RunOutput type
-export function _coerceToRunnable<RunInput, RunOutput>(
-  coerceable: RunnableLike<RunInput, RunOutput>
-): Runnable<RunInput, Exclude<RunOutput, Error>> {
+export function _coerceToRunnable<
+  RunInput,
+  RunOutput,
+  CallOptions extends RunnableConfig = RunnableConfig
+>(
+  coerceable: RunnableLike<RunInput, RunOutput, CallOptions>
+): Runnable<RunInput, Exclude<RunOutput, Error>, CallOptions> {
   if (typeof coerceable === "function") {
     return new RunnableLambda({ func: coerceable }) as Runnable<
       RunInput,
-      Exclude<RunOutput, Error>
+      Exclude<RunOutput, Error>,
+      CallOptions
     >;
   } else if (Runnable.isRunnable(coerceable)) {
-    return coerceable as Runnable<RunInput, Exclude<RunOutput, Error>>;
+    return coerceable as Runnable<
+      RunInput,
+      Exclude<RunOutput, Error>,
+      CallOptions
+    >;
   } else if (!Array.isArray(coerceable) && typeof coerceable === "object") {
     const runnables: Record<string, Runnable<RunInput>> = {};
     for (const [key, value] of Object.entries(coerceable)) {
@@ -2737,7 +2808,7 @@ export function _coerceToRunnable<RunInput, RunOutput>(
     }
     return new RunnableMap({
       steps: runnables,
-    }) as unknown as Runnable<RunInput, Exclude<RunOutput, Error>>;
+    }) as unknown as Runnable<RunInput, Exclude<RunOutput, Error>, CallOptions>;
   } else {
     throw new Error(
       `Expected a Runnable, function or object.\nInstead got an unsupported type.`
diff --git a/langchain-core/src/runnables/history.ts b/langchain-core/src/runnables/history.ts
index 6be64077c89a..5d084b6ccf35 100644
--- a/langchain-core/src/runnables/history.ts
+++ b/langchain-core/src/runnables/history.ts
@@ -115,9 +115,9 @@ export class RunnableWithMessageHistory<
   getMessageHistory: GetSessionHistoryCallable;
 
   constructor(fields: RunnableWithMessageHistoryInputs<RunInput, RunOutput>) {
-    let historyChain: Runnable = new RunnableLambda({
-      func: (input, options) => this._enterHistory(input, options ?? {}),
-    }).withConfig({ runName: "loadHistory" });
+    let historyChain: Runnable = RunnableLambda.from((input, options) =>
+      this._enterHistory(input, options ?? {})
+    ).withConfig({ runName: "loadHistory" });
 
     const messagesKey = fields.historyMessagesKey ?? fields.inputMessagesKey;
     if (messagesKey) {

From fd7e8f53045c5ec8c282244ce628059e94b0ab50 Mon Sep 17 00:00:00 2001
From: Brace Sproul <braceasproul@gmail.com>
Date: Wed, 9 Oct 2024 18:32:47 -0700
Subject: [PATCH 285/344] fix(core): Properly serialize usage metadata (#6959)

---
 langchain-core/src/messages/ai.ts             |  8 +++
 .../src/messages/tests/base_message.test.ts   | 58 +++++++++++++++++++
 2 files changed, 66 insertions(+)

diff --git a/langchain-core/src/messages/ai.ts b/langchain-core/src/messages/ai.ts
index c8a5311f040c..7e3a4d96a248 100644
--- a/langchain-core/src/messages/ai.ts
+++ b/langchain-core/src/messages/ai.ts
@@ -185,6 +185,10 @@ export class AIMessageChunk extends BaseMessageChunk {
         tool_calls: fields.tool_calls ?? [],
         invalid_tool_calls: [],
         tool_call_chunks: [],
+        usage_metadata:
+          fields.usage_metadata !== undefined
+            ? fields.usage_metadata
+            : undefined,
       };
     } else {
       const toolCalls: ToolCall[] = [];
@@ -220,6 +224,10 @@ export class AIMessageChunk extends BaseMessageChunk {
         ...fields,
         tool_calls: toolCalls,
         invalid_tool_calls: invalidToolCalls,
+        usage_metadata:
+          fields.usage_metadata !== undefined
+            ? fields.usage_metadata
+            : undefined,
       };
     }
     // Sadly, TypeScript only allows super() calls at root if the class has
diff --git a/langchain-core/src/messages/tests/base_message.test.ts b/langchain-core/src/messages/tests/base_message.test.ts
index 0e6883c89dc0..b1c040f828f5 100644
--- a/langchain-core/src/messages/tests/base_message.test.ts
+++ b/langchain-core/src/messages/tests/base_message.test.ts
@@ -10,6 +10,7 @@ import {
   SystemMessage,
 } from "../index.js";
 import { load } from "../../load/index.js";
+import { concat } from "../../utils/stream.js";
 
 test("Test ChatPromptTemplate can format OpenAI content image messages", async () => {
   const message = new HumanMessage({
@@ -396,3 +397,60 @@ describe("Message like coercion", () => {
     ]);
   });
 });
+
+describe("usage_metadata serialized", () => {
+  test("usage_metadata is serialized when included in constructor", async () => {
+    const aiMsg = new AIMessage({
+      content: "hello",
+      usage_metadata: {
+        input_tokens: 1,
+        output_tokens: 1,
+        total_tokens: 2,
+      },
+    });
+    const jsonAIMessage = JSON.stringify(aiMsg);
+    expect(jsonAIMessage).toContain("usage_metadata");
+    expect(jsonAIMessage).toContain("input_tokens");
+    expect(jsonAIMessage).toContain("output_tokens");
+    expect(jsonAIMessage).toContain("total_tokens");
+  });
+
+  test("usage_metadata is serialized when included in constructor", async () => {
+    const aiMsg = new AIMessageChunk({
+      content: "hello",
+      usage_metadata: {
+        input_tokens: 1,
+        output_tokens: 1,
+        total_tokens: 2,
+      },
+    });
+    const jsonAIMessage = JSON.stringify(aiMsg);
+    expect(jsonAIMessage).toContain("usage_metadata");
+    expect(jsonAIMessage).toContain("input_tokens");
+    expect(jsonAIMessage).toContain("output_tokens");
+    expect(jsonAIMessage).toContain("total_tokens");
+  });
+
+  test("usage_metadata is serialized even when not included in constructor", async () => {
+    const aiMsg = new AIMessageChunk("hello");
+
+    const concatenatedAIMessageChunk = concat(
+      aiMsg,
+      new AIMessageChunk({
+        content: "",
+        usage_metadata: {
+          input_tokens: 1,
+          output_tokens: 1,
+          total_tokens: 2,
+        },
+      })
+    );
+    const jsonConcatenatedAIMessageChunk = JSON.stringify(
+      concatenatedAIMessageChunk
+    );
+    expect(jsonConcatenatedAIMessageChunk).toContain("usage_metadata");
+    expect(jsonConcatenatedAIMessageChunk).toContain("input_tokens");
+    expect(jsonConcatenatedAIMessageChunk).toContain("output_tokens");
+    expect(jsonConcatenatedAIMessageChunk).toContain("total_tokens");
+  });
+});

From 3c4093f08585b2dee0571e3a8f25db778d4d0a5c Mon Sep 17 00:00:00 2001
From: Bagatur <22008038+baskaryan@users.noreply.github.com>
Date: Wed, 9 Oct 2024 18:39:24 -0700
Subject: [PATCH 286/344] core[patch], openai[patch]: add UsageMetadata details
 (#6950)

Co-authored-by: bracesproul <braceasproul@gmail.com>
---
 langchain-core/src/messages/ai.ts             | 117 +++++++++-
 libs/langchain-openai/package.json            |   2 +-
 libs/langchain-openai/src/chat_models.ts      |  96 ++++++--
 .../tests/chat_models.standard.int.test.ts    |  71 +++++-
 .../src/integration_tests/chat_models.ts      | 208 ++++++++++++++++++
 yarn.lock                                     |  28 +--
 6 files changed, 478 insertions(+), 44 deletions(-)

diff --git a/langchain-core/src/messages/ai.ts b/langchain-core/src/messages/ai.ts
index 7e3a4d96a248..b1b4c5261378 100644
--- a/langchain-core/src/messages/ai.ts
+++ b/langchain-core/src/messages/ai.ts
@@ -21,22 +21,83 @@ export type AIMessageFields = BaseMessageFields & {
   usage_metadata?: UsageMetadata;
 };
 
+/**
+ * Breakdown of input token counts.
+ *
+ * Does not *need* to sum to full input token count. Does *not* need to have all keys.
+ */
+export type InputTokenDetails = {
+  /**
+   * Audio input tokens.
+   */
+  audio?: number;
+
+  /**
+   * Input tokens that were cached and there was a cache hit.
+   *
+   * Since there was a cache hit, the tokens were read from the cache.
+   * More precisely, the model state given these tokens was read from the cache.
+   */
+  cache_read?: number;
+
+  /**
+   * Input tokens that were cached and there was a cache miss.
+   *
+   * Since there was a cache miss, the cache was created from these tokens.
+   */
+  cache_creation?: number;
+};
+
+/**
+ * Breakdown of output token counts.
+ *
+ * Does *not* need to sum to full output token count. Does *not* need to have all keys.
+ */
+export type OutputTokenDetails = {
+  /**
+   * Audio output tokens
+   */
+  audio?: number;
+
+  /**
+   * Reasoning output tokens.
+   *
+   * Tokens generated by the model in a chain of thought process (i.e. by
+   * OpenAI's o1 models) that are not returned as part of model output.
+   */
+  reasoning?: number;
+};
+
 /**
  * Usage metadata for a message, such as token counts.
  */
 export type UsageMetadata = {
   /**
-   * The count of input (or prompt) tokens.
+   * Count of input (or prompt) tokens. Sum of all input token types.
    */
   input_tokens: number;
   /**
-   * The count of output (or completion) tokens
+   * Count of output (or completion) tokens. Sum of all output token types.
    */
   output_tokens: number;
   /**
-   * The total token count
+   * Total token count. Sum of input_tokens + output_tokens.
    */
   total_tokens: number;
+
+  /**
+   * Breakdown of input token counts.
+   *
+   * Does *not* need to sum to full input token count. Does *not* need to have all keys.
+   */
+  input_token_details?: InputTokenDetails;
+
+  /**
+   * Breakdown of output token counts.
+   *
+   * Does *not* need to sum to full output token count. Does *not* need to have all keys.
+   */
+  output_token_details?: OutputTokenDetails;
 };
 
 /**
@@ -299,6 +360,48 @@ export class AIMessageChunk extends BaseMessageChunk {
       this.usage_metadata !== undefined ||
       chunk.usage_metadata !== undefined
     ) {
+      const inputTokenDetails: InputTokenDetails = {
+        ...((this.usage_metadata?.input_token_details?.audio !== undefined ||
+          chunk.usage_metadata?.input_token_details?.audio !== undefined) && {
+          audio:
+            (this.usage_metadata?.input_token_details?.audio ?? 0) +
+            (chunk.usage_metadata?.input_token_details?.audio ?? 0),
+        }),
+        ...((this.usage_metadata?.input_token_details?.cache_read !==
+          undefined ||
+          chunk.usage_metadata?.input_token_details?.cache_read !==
+            undefined) && {
+          cache_read:
+            (this.usage_metadata?.input_token_details?.cache_read ?? 0) +
+            (chunk.usage_metadata?.input_token_details?.cache_read ?? 0),
+        }),
+        ...((this.usage_metadata?.input_token_details?.cache_creation !==
+          undefined ||
+          chunk.usage_metadata?.input_token_details?.cache_creation !==
+            undefined) && {
+          cache_creation:
+            (this.usage_metadata?.input_token_details?.cache_creation ?? 0) +
+            (chunk.usage_metadata?.input_token_details?.cache_creation ?? 0),
+        }),
+      };
+
+      const outputTokenDetails: OutputTokenDetails = {
+        ...((this.usage_metadata?.output_token_details?.audio !== undefined ||
+          chunk.usage_metadata?.output_token_details?.audio !== undefined) && {
+          audio:
+            (this.usage_metadata?.output_token_details?.audio ?? 0) +
+            (chunk.usage_metadata?.output_token_details?.audio ?? 0),
+        }),
+        ...((this.usage_metadata?.output_token_details?.reasoning !==
+          undefined ||
+          chunk.usage_metadata?.output_token_details?.reasoning !==
+            undefined) && {
+          reasoning:
+            (this.usage_metadata?.output_token_details?.reasoning ?? 0) +
+            (chunk.usage_metadata?.output_token_details?.reasoning ?? 0),
+        }),
+      };
+
       const left: UsageMetadata = this.usage_metadata ?? {
         input_tokens: 0,
         output_tokens: 0,
@@ -313,6 +416,14 @@ export class AIMessageChunk extends BaseMessageChunk {
         input_tokens: left.input_tokens + right.input_tokens,
         output_tokens: left.output_tokens + right.output_tokens,
         total_tokens: left.total_tokens + right.total_tokens,
+        // Do not include `input_token_details` / `output_token_details` keys in combined fields
+        // unless their values are defined.
+        ...(Object.keys(inputTokenDetails).length > 0 && {
+          input_token_details: inputTokenDetails,
+        }),
+        ...(Object.keys(outputTokenDetails).length > 0 && {
+          output_token_details: outputTokenDetails,
+        }),
       };
       combinedFields.usage_metadata = usage_metadata;
     }
diff --git a/libs/langchain-openai/package.json b/libs/langchain-openai/package.json
index d76b8f1d11f6..e9cfaeb44b62 100644
--- a/libs/langchain-openai/package.json
+++ b/libs/langchain-openai/package.json
@@ -36,7 +36,7 @@
   "license": "MIT",
   "dependencies": {
     "js-tiktoken": "^1.0.12",
-    "openai": "^4.57.3",
+    "openai": "^4.67.2",
     "zod": "^3.22.4",
     "zod-to-json-schema": "^3.22.3"
   },
diff --git a/libs/langchain-openai/src/chat_models.ts b/libs/langchain-openai/src/chat_models.ts
index 9d9d9a0da67d..93a3dbd30e45 100644
--- a/libs/langchain-openai/src/chat_models.ts
+++ b/libs/langchain-openai/src/chat_models.ts
@@ -15,6 +15,7 @@ import {
   OpenAIToolCall,
   isAIMessage,
   convertToChunk,
+  UsageMetadata,
 } from "@langchain/core/messages";
 import {
   type ChatGeneration,
@@ -1296,6 +1297,22 @@ export class ChatOpenAI<
       );
     }
     if (usage) {
+      const inputTokenDetails = {
+        ...(usage.prompt_tokens_details?.audio_tokens !== null && {
+          audio: usage.prompt_tokens_details?.audio_tokens,
+        }),
+        ...(usage.prompt_tokens_details?.cached_tokens !== null && {
+          cache_read: usage.prompt_tokens_details?.cached_tokens,
+        }),
+      };
+      const outputTokenDetails = {
+        ...(usage.completion_tokens_details?.audio_tokens !== null && {
+          audio: usage.completion_tokens_details?.audio_tokens,
+        }),
+        ...(usage.completion_tokens_details?.reasoning_tokens !== null && {
+          reasoning: usage.completion_tokens_details?.reasoning_tokens,
+        }),
+      };
       const generationChunk = new ChatGenerationChunk({
         message: new AIMessageChunk({
           content: "",
@@ -1306,6 +1323,12 @@ export class ChatOpenAI<
             input_tokens: usage.prompt_tokens,
             output_tokens: usage.completion_tokens,
             total_tokens: usage.total_tokens,
+            ...(Object.keys(inputTokenDetails).length > 0 && {
+              input_token_details: inputTokenDetails,
+            }),
+            ...(Object.keys(outputTokenDetails).length > 0 && {
+              output_token_details: outputTokenDetails,
+            }),
           },
         }),
         text: "",
@@ -1331,7 +1354,7 @@ export class ChatOpenAI<
     options: this["ParsedCallOptions"],
     runManager?: CallbackManagerForLLMRun
   ): Promise<ChatResult> {
-    const tokenUsage: TokenUsage = {};
+    const usageMetadata = {} as UsageMetadata;
     const params = this.invocationParams(options);
     const messagesMapped: OpenAICompletionParam[] =
       _convertMessagesToOpenAIParams(messages);
@@ -1370,10 +1393,19 @@ export class ChatOpenAI<
         generations
       );
 
-      tokenUsage.promptTokens = promptTokenUsage;
-      tokenUsage.completionTokens = completionTokenUsage;
-      tokenUsage.totalTokens = promptTokenUsage + completionTokenUsage;
-      return { generations, llmOutput: { estimatedTokenUsage: tokenUsage } };
+      usageMetadata.input_tokens = promptTokenUsage;
+      usageMetadata.output_tokens = completionTokenUsage;
+      usageMetadata.total_tokens = promptTokenUsage + completionTokenUsage;
+      return {
+        generations,
+        llmOutput: {
+          estimatedTokenUsage: {
+            promptTokens: usageMetadata.input_tokens,
+            completionTokens: usageMetadata.output_tokens,
+            totalTokens: usageMetadata.total_tokens,
+          },
+        },
+      };
     } else {
       let data;
       if (
@@ -1409,19 +1441,51 @@ export class ChatOpenAI<
         completion_tokens: completionTokens,
         prompt_tokens: promptTokens,
         total_tokens: totalTokens,
+        prompt_tokens_details: promptTokensDetails,
+        completion_tokens_details: completionTokensDetails,
       } = data?.usage ?? {};
 
       if (completionTokens) {
-        tokenUsage.completionTokens =
-          (tokenUsage.completionTokens ?? 0) + completionTokens;
+        usageMetadata.output_tokens =
+          (usageMetadata.output_tokens ?? 0) + completionTokens;
       }
 
       if (promptTokens) {
-        tokenUsage.promptTokens = (tokenUsage.promptTokens ?? 0) + promptTokens;
+        usageMetadata.input_tokens =
+          (usageMetadata.input_tokens ?? 0) + promptTokens;
       }
 
       if (totalTokens) {
-        tokenUsage.totalTokens = (tokenUsage.totalTokens ?? 0) + totalTokens;
+        usageMetadata.total_tokens =
+          (usageMetadata.total_tokens ?? 0) + totalTokens;
+      }
+
+      if (
+        promptTokensDetails?.audio_tokens !== null ||
+        promptTokensDetails?.cached_tokens !== null
+      ) {
+        usageMetadata.input_token_details = {
+          ...(promptTokensDetails?.audio_tokens !== null && {
+            audio: promptTokensDetails?.audio_tokens,
+          }),
+          ...(promptTokensDetails?.cached_tokens !== null && {
+            cache_read: promptTokensDetails?.cached_tokens,
+          }),
+        };
+      }
+
+      if (
+        completionTokensDetails?.audio_tokens !== null ||
+        completionTokensDetails?.reasoning_tokens !== null
+      ) {
+        usageMetadata.output_token_details = {
+          ...(completionTokensDetails?.audio_tokens !== null && {
+            audio: completionTokensDetails?.audio_tokens,
+          }),
+          ...(completionTokensDetails?.reasoning_tokens !== null && {
+            reasoning: completionTokensDetails?.reasoning_tokens,
+          }),
+        };
       }
 
       const generations: ChatGeneration[] = [];
@@ -1440,17 +1504,19 @@ export class ChatOpenAI<
           ...(part.logprobs ? { logprobs: part.logprobs } : {}),
         };
         if (isAIMessage(generation.message)) {
-          generation.message.usage_metadata = {
-            input_tokens: tokenUsage.promptTokens ?? 0,
-            output_tokens: tokenUsage.completionTokens ?? 0,
-            total_tokens: tokenUsage.totalTokens ?? 0,
-          };
+          generation.message.usage_metadata = usageMetadata;
         }
         generations.push(generation);
       }
       return {
         generations,
-        llmOutput: { tokenUsage },
+        llmOutput: {
+          tokenUsage: {
+            promptTokens: usageMetadata.input_tokens,
+            completionTokens: usageMetadata.output_tokens,
+            totalTokens: usageMetadata.total_tokens,
+          },
+        },
       };
     }
   }
diff --git a/libs/langchain-openai/src/tests/chat_models.standard.int.test.ts b/libs/langchain-openai/src/tests/chat_models.standard.int.test.ts
index f16536d91997..1dd34509ed04 100644
--- a/libs/langchain-openai/src/tests/chat_models.standard.int.test.ts
+++ b/libs/langchain-openai/src/tests/chat_models.standard.int.test.ts
@@ -1,9 +1,15 @@
 /* eslint-disable no-process-env */
-import { test, expect } from "@jest/globals";
+import { test } from "@jest/globals";
 import { ChatModelIntegrationTests } from "@langchain/standard-tests";
-import { AIMessageChunk } from "@langchain/core/messages";
+import { AIMessage, AIMessageChunk } from "@langchain/core/messages";
+import { readFileSync } from "fs";
+import { join } from "path";
+import { concat } from "@langchain/core/utils/stream";
+import { BaseLanguageModelInput } from "@langchain/core/language_models/base";
 import { ChatOpenAI, ChatOpenAICallOptions } from "../chat_models.js";
 
+const REPO_ROOT_DIR = process.cwd();
+
 class ChatOpenAIStandardIntegrationTests extends ChatModelIntegrationTests<
   ChatOpenAICallOptions,
   AIMessageChunk
@@ -25,6 +31,48 @@ class ChatOpenAIStandardIntegrationTests extends ChatModelIntegrationTests<
     });
   }
 
+  supportedUsageMetadataDetails: {
+    invoke: Array<
+      | "audio_input"
+      | "audio_output"
+      | "reasoning_output"
+      | "cache_read_input"
+      | "cache_creation_input"
+    >;
+    stream: Array<
+      | "audio_input"
+      | "audio_output"
+      | "reasoning_output"
+      | "cache_read_input"
+      | "cache_creation_input"
+    >;
+  } = { invoke: ["cache_read_input", "reasoning_output"], stream: [] };
+
+  async invokeWithReasoningOutput(stream: boolean) {
+    const chatModel = new ChatOpenAI({
+      model: "o1-mini",
+      streamUsage: true,
+      temperature: 1,
+    });
+    const input =
+      "explain the relationship between the 2008/9 economic crisis and the startup ecosystem in the early 2010s";
+
+    return invoke(chatModel, input, stream);
+  }
+
+  async invokeWithCacheReadInput(stream: boolean = false): Promise<AIMessage> {
+    const readme = readFileSync(join(REPO_ROOT_DIR, "README.md"), "utf-8");
+
+    const input = `What's langchain? Here's the langchain README:
+    
+    ${readme}
+    `;
+    const llm = new ChatOpenAI({ modelName: "gpt-4o-mini", streamUsage: true });
+    await invoke(llm, input, stream);
+    // invoke twice so first invocation is cached
+    return invoke(llm, input, stream);
+  }
+
   async testUsageMetadataStreaming() {
     // ChatOpenAI does not support streaming tokens by
     // default, so we must pass in a call option to
@@ -65,3 +113,22 @@ test("ChatOpenAIStandardIntegrationTests", async () => {
   const testResults = await testClass.runTests();
   expect(testResults).toBe(true);
 });
+
+async function invoke(
+  chatModel: ChatOpenAI,
+  input: BaseLanguageModelInput,
+  stream: boolean
+): Promise<AIMessage> {
+  if (stream) {
+    let finalChunks: AIMessageChunk | undefined;
+
+    // Stream the response for a simple "Hello" prompt
+    for await (const chunk of await chatModel.stream(input)) {
+      // Concatenate chunks to get the final result
+      finalChunks = finalChunks ? concat(finalChunks, chunk) : chunk;
+    }
+    return finalChunks as AIMessage;
+  } else {
+    return chatModel.invoke(input);
+  }
+}
diff --git a/libs/langchain-standard-tests/src/integration_tests/chat_models.ts b/libs/langchain-standard-tests/src/integration_tests/chat_models.ts
index 2da82e80c6ed..3116b5f2b356 100644
--- a/libs/langchain-standard-tests/src/integration_tests/chat_models.ts
+++ b/libs/langchain-standard-tests/src/integration_tests/chat_models.ts
@@ -95,6 +95,24 @@ export abstract class ChatModelIntegrationTests<
 
   supportsParallelToolCalls = false;
 
+  // Add these new properties
+  supportedUsageMetadataDetails: {
+    invoke: Array<
+      | "audio_input"
+      | "audio_output"
+      | "reasoning_output"
+      | "cache_read_input"
+      | "cache_creation_input"
+    >;
+    stream: Array<
+      | "audio_input"
+      | "audio_output"
+      | "reasoning_output"
+      | "cache_read_input"
+      | "cache_creation_input"
+    >;
+  } = { invoke: [], stream: [] };
+
   constructor(
     fields: ChatModelIntegrationTestsFields<
       CallOptions,
@@ -374,6 +392,162 @@ export abstract class ChatModelIntegrationTests<
 
     // Check that total_tokens is a number
     expect(typeof usageMetadata.total_tokens).toBe("number");
+
+    // Test additional usage metadata details
+    if (this.supportedUsageMetadataDetails.invoke.includes("audio_input")) {
+      const msgWithAudioInput = await this.invokeWithAudioInput(false);
+      this.assertAudioInputMetadata(msgWithAudioInput);
+    }
+
+    if (this.supportedUsageMetadataDetails.invoke.includes("audio_output")) {
+      const msgWithAudioOutput = await this.invokeWithAudioOutput(false);
+      this.assertAudioOutputMetadata(msgWithAudioOutput);
+    }
+
+    if (
+      this.supportedUsageMetadataDetails.invoke.includes("reasoning_output")
+    ) {
+      const msgWithReasoningOutput = await this.invokeWithReasoningOutput(
+        false
+      );
+      this.assertReasoningOutputMetadata(msgWithReasoningOutput);
+    }
+
+    if (
+      this.supportedUsageMetadataDetails.invoke.includes("cache_read_input")
+    ) {
+      const msgWithCacheReadInput = await this.invokeWithCacheReadInput(false);
+      this.assertCacheReadInputMetadata(msgWithCacheReadInput);
+    }
+
+    if (
+      this.supportedUsageMetadataDetails.invoke.includes("cache_creation_input")
+    ) {
+      const msgWithCacheCreationInput = await this.invokeWithCacheCreationInput(
+        false
+      );
+      this.assertCacheCreationInputMetadata(msgWithCacheCreationInput);
+    }
+  }
+
+  async invokeWithAudioInput(_stream: boolean): Promise<AIMessage> {
+    // Initialize the model so we can access the `.getName()` method
+    // for better error messages.
+    const chatModel = new this.Cls(this.constructorArgs);
+    throw new Error(
+      `invokeWithAudioInput is not implemented on ${chatModel.getName()}` +
+        "standard integration tests."
+    );
+  }
+
+  async invokeWithAudioOutput(_stream: boolean): Promise<AIMessage> {
+    // Initialize the model so we can access the `.getName()` method
+    // for better error messages.
+    const chatModel = new this.Cls(this.constructorArgs);
+    throw new Error(
+      `invokeWithAudioOutput is not implemented on ${chatModel.getName()}` +
+        "standard integration tests."
+    );
+  }
+
+  async invokeWithReasoningOutput(_stream: boolean): Promise<AIMessage> {
+    // Initialize the model so we can access the `.getName()` method
+    // for better error messages.
+    const chatModel = new this.Cls(this.constructorArgs);
+    throw new Error(
+      `invokeWithReasoningOutput is not implemented on ${chatModel.getName()}` +
+        "standard integration tests."
+    );
+  }
+
+  async invokeWithCacheReadInput(_stream: boolean): Promise<AIMessage> {
+    // Initialize the model so we can access the `.getName()` method
+    // for better error messages.
+    const chatModel = new this.Cls(this.constructorArgs);
+    throw new Error(
+      `invokeWithCacheReadInput is not implemented on ${chatModel.getName()}` +
+        "standard integration tests."
+    );
+  }
+
+  async invokeWithCacheCreationInput(_stream: boolean): Promise<AIMessage> {
+    // Initialize the model so we can access the `.getName()` method
+    // for better error messages.
+    const chatModel = new this.Cls(this.constructorArgs);
+    throw new Error(
+      `invokeWithCacheCreationInput is not implemented on ${chatModel.getName()}` +
+        "standard integration tests."
+    );
+  }
+
+  private assertAudioInputMetadata(msg: AIMessage) {
+    expect(msg.usage_metadata).toBeDefined();
+    expect(msg.usage_metadata?.input_token_details).toBeDefined();
+    expect(typeof msg.usage_metadata?.input_token_details?.audio).toBe(
+      "number"
+    );
+    expect(msg.usage_metadata?.input_tokens).toBeGreaterThanOrEqual(
+      Object.values(msg.usage_metadata?.input_token_details ?? {}).reduce(
+        (a, b) => (a ?? 0) + (b ?? 0),
+        0
+      )
+    );
+  }
+
+  private assertAudioOutputMetadata(msg: AIMessage) {
+    expect(msg.usage_metadata).toBeDefined();
+    expect(msg.usage_metadata?.output_token_details).toBeDefined();
+    expect(typeof msg.usage_metadata?.output_token_details?.audio).toBe(
+      "number"
+    );
+    expect(msg.usage_metadata?.output_tokens).toBeGreaterThanOrEqual(
+      Object.values(msg.usage_metadata?.output_token_details ?? {}).reduce(
+        (a, b) => (a ?? 0) + (b ?? 0),
+        0
+      )
+    );
+  }
+
+  private assertReasoningOutputMetadata(msg: AIMessage) {
+    expect(msg.usage_metadata).toBeDefined();
+    expect(msg.usage_metadata?.output_token_details).toBeDefined();
+    expect(typeof msg.usage_metadata?.output_token_details?.reasoning).toBe(
+      "number"
+    );
+    expect(msg.usage_metadata?.output_tokens).toBeGreaterThanOrEqual(
+      Object.values(msg.usage_metadata?.output_token_details ?? {}).reduce(
+        (a, b) => (a ?? 0) + (b ?? 0),
+        0
+      )
+    );
+  }
+
+  private assertCacheReadInputMetadata(msg: AIMessage) {
+    expect(msg.usage_metadata).toBeDefined();
+    expect(msg.usage_metadata?.input_token_details).toBeDefined();
+    expect(typeof msg.usage_metadata?.input_token_details?.cache_read).toBe(
+      "number"
+    );
+    expect(msg.usage_metadata?.input_tokens).toBeGreaterThanOrEqual(
+      Object.values(msg.usage_metadata?.input_token_details ?? {}).reduce(
+        (a, b) => (a ?? 0) + (b ?? 0),
+        0
+      )
+    );
+  }
+
+  private assertCacheCreationInputMetadata(msg: AIMessage) {
+    expect(msg.usage_metadata).toBeDefined();
+    expect(msg.usage_metadata?.input_token_details).toBeDefined();
+    expect(typeof msg.usage_metadata?.input_token_details?.cache_creation).toBe(
+      "number"
+    );
+    expect(msg.usage_metadata?.input_tokens).toBeGreaterThanOrEqual(
+      Object.values(msg.usage_metadata?.input_token_details ?? {}).reduce(
+        (a, b) => (a ?? 0) + (b ?? 0),
+        0
+      )
+    );
   }
 
   /**
@@ -426,6 +600,40 @@ export abstract class ChatModelIntegrationTests<
     expect(typeof usageMetadata.input_tokens).toBe("number");
     expect(typeof usageMetadata.output_tokens).toBe("number");
     expect(typeof usageMetadata.total_tokens).toBe("number");
+
+    // Test additional usage metadata details
+    if (this.supportedUsageMetadataDetails.invoke.includes("audio_input")) {
+      const msgWithAudioInput = await this.invokeWithAudioInput(true);
+      this.assertAudioInputMetadata(msgWithAudioInput);
+    }
+
+    if (this.supportedUsageMetadataDetails.invoke.includes("audio_output")) {
+      const msgWithAudioOutput = await this.invokeWithAudioOutput(true);
+      this.assertAudioOutputMetadata(msgWithAudioOutput);
+    }
+
+    if (
+      this.supportedUsageMetadataDetails.invoke.includes("reasoning_output")
+    ) {
+      const msgWithReasoningOutput = await this.invokeWithReasoningOutput(true);
+      this.assertReasoningOutputMetadata(msgWithReasoningOutput);
+    }
+
+    if (
+      this.supportedUsageMetadataDetails.invoke.includes("cache_read_input")
+    ) {
+      const msgWithCacheReadInput = await this.invokeWithCacheReadInput(true);
+      this.assertCacheReadInputMetadata(msgWithCacheReadInput);
+    }
+
+    if (
+      this.supportedUsageMetadataDetails.invoke.includes("cache_creation_input")
+    ) {
+      const msgWithCacheCreationInput = await this.invokeWithCacheCreationInput(
+        true
+      );
+      this.assertCacheCreationInputMetadata(msgWithCacheCreationInput);
+    }
   }
 
   /**
diff --git a/yarn.lock b/yarn.lock
index a3ca27a086c9..f2e3d751faf1 100644
--- a/yarn.lock
+++ b/yarn.lock
@@ -12591,7 +12591,7 @@ __metadata:
     jest: ^29.5.0
     jest-environment-node: ^29.6.4
     js-tiktoken: ^1.0.12
-    openai: ^4.57.3
+    openai: ^4.67.2
     prettier: ^2.8.3
     release-it: ^17.6.0
     rimraf: ^5.0.1
@@ -19403,13 +19403,6 @@ __metadata:
   languageName: node
   linkType: hard
 
-"@types/qs@npm:^6.9.15":
-  version: 6.9.15
-  resolution: "@types/qs@npm:6.9.15"
-  checksum: 97d8208c2b82013b618e7a9fc14df6bd40a73e1385ac479b6896bafc7949a46201c15f42afd06e86a05e914f146f495f606b6fb65610cc60cf2e0ff743ec38a2
-  languageName: node
-  linkType: hard
-
 "@types/range-parser@npm:*":
   version: 1.2.4
   resolution: "@types/range-parser@npm:1.2.4"
@@ -35559,19 +35552,17 @@ __metadata:
   languageName: node
   linkType: hard
 
-"openai@npm:^4.57.3":
-  version: 4.57.3
-  resolution: "openai@npm:4.57.3"
+"openai@npm:^4.67.2":
+  version: 4.67.2
+  resolution: "openai@npm:4.67.2"
   dependencies:
     "@types/node": ^18.11.18
     "@types/node-fetch": ^2.6.4
-    "@types/qs": ^6.9.15
     abort-controller: ^3.0.0
     agentkeepalive: ^4.2.1
     form-data-encoder: 1.7.2
     formdata-node: ^4.3.2
     node-fetch: ^2.6.7
-    qs: ^6.10.3
   peerDependencies:
     zod: ^3.23.8
   peerDependenciesMeta:
@@ -35579,7 +35570,7 @@ __metadata:
       optional: true
   bin:
     openai: bin/cli
-  checksum: 6e8cef99975af5fd8e9a06685f05396a6fabecda38bd77fa62db4b7ea9bdfa0b4c762c5f74e99e42212af81f74f50748c5034bf78c9abcf74cc6eb984f3dcffa
+  checksum: 8c83e2632f2c51fea0f9b059026239a46ad171feaedd1456019481136defd468e828b0b091c53da3ebb65da37c4bb76455142c64ea9bc664124c1a341f7f2b78
   languageName: node
   linkType: hard
 
@@ -37719,15 +37710,6 @@ __metadata:
   languageName: node
   linkType: hard
 
-"qs@npm:^6.10.3":
-  version: 6.13.0
-  resolution: "qs@npm:6.13.0"
-  dependencies:
-    side-channel: ^1.0.6
-  checksum: e9404dc0fc2849245107108ce9ec2766cde3be1b271de0bf1021d049dc5b98d1a2901e67b431ac5509f865420a7ed80b7acb3980099fe1c118a1c5d2e1432ad8
-  languageName: node
-  linkType: hard
-
 "querystringify@npm:^2.1.1":
   version: 2.2.0
   resolution: "querystringify@npm:2.2.0"

From 27f2e14016061c4f4144610e7f6a7d438037b051 Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Wed, 9 Oct 2024 19:48:42 -0700
Subject: [PATCH 287/344] chore(core): Release 0.3.9 (#6962)

---
 langchain-core/package.json | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/langchain-core/package.json b/langchain-core/package.json
index beb3246d2899..d9c3f5c0634c 100644
--- a/langchain-core/package.json
+++ b/langchain-core/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/core",
-  "version": "0.3.8",
+  "version": "0.3.9",
   "description": "Core LangChain.js abstractions and schemas",
   "type": "module",
   "engines": {

From 3865c4d389b3d5765c49f97c48872c669f901011 Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Thu, 10 Oct 2024 10:36:44 -0700
Subject: [PATCH 288/344] chore(openai): Release 0.3.6 (#6964)

---
 libs/langchain-openai/package.json | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/libs/langchain-openai/package.json b/libs/langchain-openai/package.json
index e9cfaeb44b62..1e9d85c1fa5c 100644
--- a/libs/langchain-openai/package.json
+++ b/libs/langchain-openai/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/openai",
-  "version": "0.3.5",
+  "version": "0.3.6",
   "description": "OpenAI integrations for LangChain.js",
   "type": "module",
   "engines": {

From 30d8337dcfe641839e19ad83affedd477714bb88 Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Thu, 10 Oct 2024 16:25:38 -0700
Subject: [PATCH 289/344] fix(core): Fix error message (#6965)

---
 langchain-core/src/messages/utils.ts | 6 +++++-
 1 file changed, 5 insertions(+), 1 deletion(-)

diff --git a/langchain-core/src/messages/utils.ts b/langchain-core/src/messages/utils.ts
index ee31d8245b27..1f89248afb1a 100644
--- a/langchain-core/src/messages/utils.ts
+++ b/langchain-core/src/messages/utils.ts
@@ -115,7 +115,11 @@ function _constructMessageFromParams(
     });
   } else {
     throw new Error(
-      `Unable to coerce message from array: only human, AI, or system message coercion is currently supported.\n\nReceived:${params}`
+      `Unable to coerce message from array: only human, AI, or system message coercion is currently supported.\n\nReceived: ${JSON.stringify(
+        params,
+        null,
+        2
+      )}`
     );
   }
 }

From 1904e9a5aa5a249aec456a2079db242f411928fe Mon Sep 17 00:00:00 2001
From: Brace Sproul <braceasproul@gmail.com>
Date: Thu, 10 Oct 2024 18:23:43 -0700
Subject: [PATCH 290/344] fix(openai): Ensure usage_metadata is serialized when
 invoking (#6966)

---
 libs/langchain-openai/src/chat_models.ts | 5 +++++
 1 file changed, 5 insertions(+)

diff --git a/libs/langchain-openai/src/chat_models.ts b/libs/langchain-openai/src/chat_models.ts
index 93a3dbd30e45..728d08eabed0 100644
--- a/libs/langchain-openai/src/chat_models.ts
+++ b/libs/langchain-openai/src/chat_models.ts
@@ -1506,6 +1506,11 @@ export class ChatOpenAI<
         if (isAIMessage(generation.message)) {
           generation.message.usage_metadata = usageMetadata;
         }
+        // Fields are not serialized unless passed to the constructor
+        // Doing this ensures all fields on the message are serialized
+        generation.message = new AIMessage({
+          ...generation.message,
+        });
         generations.push(generation);
       }
       return {

From 780379ed24f6c7ba578c810af9e7a7d79da73bbf Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Thu, 10 Oct 2024 18:26:36 -0700
Subject: [PATCH 291/344] chore(openai): Release 0.3.7 (#6968)

---
 libs/langchain-openai/package.json | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/libs/langchain-openai/package.json b/libs/langchain-openai/package.json
index 1e9d85c1fa5c..85237388c0ab 100644
--- a/libs/langchain-openai/package.json
+++ b/libs/langchain-openai/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/openai",
-  "version": "0.3.6",
+  "version": "0.3.7",
   "description": "OpenAI integrations for LangChain.js",
   "type": "module",
   "engines": {

From d7ab98157f9fd36d94c8c6f18835331f1e7df6c2 Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Fri, 11 Oct 2024 14:02:00 -0700
Subject: [PATCH 292/344] feat(core): Adds support for context variables
 (#6967)

---
 langchain-core/.gitignore                     |   4 +
 langchain-core/langchain.config.js            |   1 +
 langchain-core/package.json                   |  15 +-
 .../src/callbacks/dispatch/index.ts           |   6 +-
 langchain-core/src/context.ts                 | 131 ++++++++
 langchain-core/src/singletons/index.ts        |  17 +
 langchain-core/src/tests/context.test.ts      |  26 ++
 .../tracers/tests/langsmith_interop.test.ts   | 296 ++++++++++++++++++
 yarn.lock                                     |  21 +-
 9 files changed, 513 insertions(+), 4 deletions(-)
 create mode 100644 langchain-core/src/context.ts
 create mode 100644 langchain-core/src/tests/context.test.ts

diff --git a/langchain-core/.gitignore b/langchain-core/.gitignore
index efc6a4dc88ba..6876afce9643 100644
--- a/langchain-core/.gitignore
+++ b/langchain-core/.gitignore
@@ -30,6 +30,10 @@ chat_history.cjs
 chat_history.js
 chat_history.d.ts
 chat_history.d.cts
+context.cjs
+context.js
+context.d.ts
+context.d.cts
 documents.cjs
 documents.js
 documents.d.ts
diff --git a/langchain-core/langchain.config.js b/langchain-core/langchain.config.js
index b7fd982357ee..d51e73e0b122 100644
--- a/langchain-core/langchain.config.js
+++ b/langchain-core/langchain.config.js
@@ -20,6 +20,7 @@ export const config = {
     "callbacks/manager": "callbacks/manager",
     "callbacks/promises": "callbacks/promises",
     chat_history: "chat_history",
+    context: "context",
     documents: "documents/index",
     "document_loaders/base": "document_loaders/base",
     "document_loaders/langsmith": "document_loaders/langsmith",
diff --git a/langchain-core/package.json b/langchain-core/package.json
index d9c3f5c0634c..9df3964c8be2 100644
--- a/langchain-core/package.json
+++ b/langchain-core/package.json
@@ -37,7 +37,7 @@
     "camelcase": "6",
     "decamelize": "1.2.0",
     "js-tiktoken": "^1.0.12",
-    "langsmith": "^0.1.56",
+    "langsmith": "^0.1.65",
     "mustache": "^4.2.0",
     "p-queue": "^6.6.2",
     "p-retry": "4",
@@ -160,6 +160,15 @@
       "import": "./chat_history.js",
       "require": "./chat_history.cjs"
     },
+    "./context": {
+      "types": {
+        "import": "./context.d.ts",
+        "require": "./context.d.cts",
+        "default": "./context.d.ts"
+      },
+      "import": "./context.js",
+      "require": "./context.cjs"
+    },
     "./documents": {
       "types": {
         "import": "./documents.d.ts",
@@ -646,6 +655,10 @@
     "chat_history.js",
     "chat_history.d.ts",
     "chat_history.d.cts",
+    "context.cjs",
+    "context.js",
+    "context.d.ts",
+    "context.d.cts",
     "documents.cjs",
     "documents.js",
     "documents.d.ts",
diff --git a/langchain-core/src/callbacks/dispatch/index.ts b/langchain-core/src/callbacks/dispatch/index.ts
index 9d0fe15a9bfa..762994d89cf8 100644
--- a/langchain-core/src/callbacks/dispatch/index.ts
+++ b/langchain-core/src/callbacks/dispatch/index.ts
@@ -1,10 +1,12 @@
+/* __LC_ALLOW_ENTRYPOINT_SIDE_EFFECTS__ */
+
 import { AsyncLocalStorage } from "node:async_hooks";
 import { dispatchCustomEvent as dispatchCustomEventWeb } from "./web.js";
 import { type RunnableConfig, ensureConfig } from "../../runnables/config.js";
 import { AsyncLocalStorageProviderSingleton } from "../../singletons/index.js";
 
-/* #__PURE__ */ AsyncLocalStorageProviderSingleton.initializeGlobalInstance(
-  /* #__PURE__ */ new AsyncLocalStorage()
+AsyncLocalStorageProviderSingleton.initializeGlobalInstance(
+  new AsyncLocalStorage()
 );
 
 /**
diff --git a/langchain-core/src/context.ts b/langchain-core/src/context.ts
new file mode 100644
index 000000000000..ee5bd93a1a8d
--- /dev/null
+++ b/langchain-core/src/context.ts
@@ -0,0 +1,131 @@
+/* __LC_ALLOW_ENTRYPOINT_SIDE_EFFECTS__ */
+import { AsyncLocalStorage } from "node:async_hooks";
+import { RunTree } from "langsmith";
+import { isRunTree } from "langsmith/run_trees";
+import {
+  _CONTEXT_VARIABLES_KEY,
+  AsyncLocalStorageProviderSingleton,
+} from "./singletons/index.js";
+
+AsyncLocalStorageProviderSingleton.initializeGlobalInstance(
+  new AsyncLocalStorage()
+);
+
+/**
+ * Set a context variable. Context variables are scoped to any
+ * child runnables called by the current runnable, or globally if set outside
+ * of any runnable.
+ *
+ * @remarks
+ * This function is only supported in environments that support AsyncLocalStorage,
+ * including Node.js, Deno, and Cloudflare Workers.
+ *
+ * @example
+ * ```ts
+ * import { RunnableLambda } from "@langchain/core/runnables";
+ * import {
+ *   getContextVariable,
+ *   setContextVariable
+ * } from "@langchain/core/context";
+ *
+ * const nested = RunnableLambda.from(() => {
+ *   // "bar" because it was set by a parent
+ *   console.log(getContextVariable("foo"));
+ *
+ *   // Override to "baz", but only for child runnables
+ *   setContextVariable("foo", "baz");
+ *
+ *   // Now "baz", but only for child runnables
+ *   return getContextVariable("foo");
+ * });
+ *
+ * const runnable = RunnableLambda.from(async () => {
+ *   // Set a context variable named "foo"
+ *   setContextVariable("foo", "bar");
+ *
+ *   const res = await nested.invoke({});
+ *
+ *   // Still "bar" since child changes do not affect parents
+ *   console.log(getContextVariable("foo"));
+ *
+ *   return res;
+ * });
+ *
+ * // undefined, because context variable has not been set yet
+ * console.log(getContextVariable("foo"));
+ *
+ * // Final return value is "baz"
+ * const result = await runnable.invoke({});
+ * ```
+ *
+ * @param name The name of the context variable.
+ * @param value The value to set.
+ */
+// eslint-disable-next-line @typescript-eslint/no-explicit-any
+export function setContextVariable(name: PropertyKey, value: any): void {
+  const runTree = AsyncLocalStorageProviderSingleton.getInstance().getStore();
+  const contextVars = { ...runTree?.[_CONTEXT_VARIABLES_KEY] };
+  contextVars[name] = value;
+  let newValue = {};
+  if (isRunTree(runTree)) {
+    newValue = new RunTree(runTree);
+  }
+  // eslint-disable-next-line @typescript-eslint/no-explicit-any
+  (newValue as any)[_CONTEXT_VARIABLES_KEY] = contextVars;
+  AsyncLocalStorageProviderSingleton.getInstance().enterWith(newValue);
+}
+
+/**
+ * Get the value of a previously set context variable. Context variables
+ * are scoped to any child runnables called by the current runnable,
+ * or globally if set outside of any runnable.
+ *
+ * @remarks
+ * This function is only supported in environments that support AsyncLocalStorage,
+ * including Node.js, Deno, and Cloudflare Workers.
+ *
+ * @example
+ * ```ts
+ * import { RunnableLambda } from "@langchain/core/runnables";
+ * import {
+ *   getContextVariable,
+ *   setContextVariable
+ * } from "@langchain/core/context";
+ *
+ * const nested = RunnableLambda.from(() => {
+ *   // "bar" because it was set by a parent
+ *   console.log(getContextVariable("foo"));
+ *
+ *   // Override to "baz", but only for child runnables
+ *   setContextVariable("foo", "baz");
+ *
+ *   // Now "baz", but only for child runnables
+ *   return getContextVariable("foo");
+ * });
+ *
+ * const runnable = RunnableLambda.from(async () => {
+ *   // Set a context variable named "foo"
+ *   setContextVariable("foo", "bar");
+ *
+ *   const res = await nested.invoke({});
+ *
+ *   // Still "bar" since child changes do not affect parents
+ *   console.log(getContextVariable("foo"));
+ *
+ *   return res;
+ * });
+ *
+ * // undefined, because context variable has not been set yet
+ * console.log(getContextVariable("foo"));
+ *
+ * // Final return value is "baz"
+ * const result = await runnable.invoke({});
+ * ```
+ *
+ * @param name The name of the context variable.
+ */
+// eslint-disable-next-line @typescript-eslint/no-explicit-any
+export function getContextVariable(name: PropertyKey): any {
+  const runTree = AsyncLocalStorageProviderSingleton.getInstance().getStore();
+  return runTree?.[_CONTEXT_VARIABLES_KEY]?.[name];
+}
diff --git a/langchain-core/src/singletons/index.ts b/langchain-core/src/singletons/index.ts
index 3b4740591e50..e2c0119db4c3 100644
--- a/langchain-core/src/singletons/index.ts
+++ b/langchain-core/src/singletons/index.ts
@@ -7,6 +7,8 @@ export interface AsyncLocalStorageInterface {
   getStore: () => any | undefined;
 
   run: <T>(store: any, callback: () => T) => T;
+
+  enterWith: (store: any) => void;
 }
 
 export class MockAsyncLocalStorage implements AsyncLocalStorageInterface {
@@ -17,6 +19,10 @@ export class MockAsyncLocalStorage implements AsyncLocalStorageInterface {
   run<T>(_store: any, callback: () => T): T {
     return callback();
   }
+
+  enterWith(_store: any) {
+    return undefined;
+  }
 }
 
 const mockAsyncLocalStorage = new MockAsyncLocalStorage();
@@ -24,6 +30,8 @@ const mockAsyncLocalStorage = new MockAsyncLocalStorage();
 const TRACING_ALS_KEY = Symbol.for("ls:tracing_async_local_storage");
 const LC_CHILD_KEY = Symbol.for("lc:child_config");
 
+export const _CONTEXT_VARIABLES_KEY = Symbol.for("lc:context_variables");
+
 class AsyncLocalStorageProvider {
   getInstance(): AsyncLocalStorageInterface {
     return (globalThis as any)[TRACING_ALS_KEY] ?? mockAsyncLocalStorage;
@@ -50,6 +58,7 @@ class AsyncLocalStorageProvider {
       config?.metadata
     );
     const storage = this.getInstance();
+    const previousValue = storage.getStore();
     const parentRunId = callbackManager?.getParentRunId();
 
     const langChainTracer = callbackManager?.handlers?.find(
@@ -70,6 +79,14 @@ class AsyncLocalStorageProvider {
       runTree.extra = { ...runTree.extra, [LC_CHILD_KEY]: config };
     }
 
+    if (
+      previousValue !== undefined &&
+      previousValue[_CONTEXT_VARIABLES_KEY] !== undefined
+    ) {
+      (runTree as any)[_CONTEXT_VARIABLES_KEY] =
+        previousValue[_CONTEXT_VARIABLES_KEY];
+    }
+
     return storage.run(runTree, callback);
   }
 
diff --git a/langchain-core/src/tests/context.test.ts b/langchain-core/src/tests/context.test.ts
new file mode 100644
index 000000000000..052c0d552583
--- /dev/null
+++ b/langchain-core/src/tests/context.test.ts
@@ -0,0 +1,26 @@
+import { test, expect } from "@jest/globals";
+import { RunnableLambda } from "../runnables/base.js";
+import { getContextVariable, setContextVariable } from "../context.js";
+
+test("Getting and setting context variables within nested runnables", async () => {
+  const nested = RunnableLambda.from(() => {
+    expect(getContextVariable("foo")).toEqual("bar");
+    expect(getContextVariable("toplevel")).toEqual(9);
+    setContextVariable("foo", "baz");
+    return getContextVariable("foo");
+  });
+  const runnable = RunnableLambda.from(async () => {
+    setContextVariable("foo", "bar");
+    expect(getContextVariable("foo")).toEqual("bar");
+    expect(getContextVariable("toplevel")).toEqual(9);
+    const res = await nested.invoke({});
+    expect(getContextVariable("foo")).toEqual("bar");
+    return res;
+  });
+  expect(getContextVariable("foo")).toEqual(undefined);
+  setContextVariable("toplevel", 9);
+  expect(getContextVariable("toplevel")).toEqual(9);
+  const result = await runnable.invoke({});
+  expect(getContextVariable("toplevel")).toEqual(9);
+  expect(result).toEqual("baz");
+});
diff --git a/langchain-core/src/tracers/tests/langsmith_interop.test.ts b/langchain-core/src/tracers/tests/langsmith_interop.test.ts
index bfb7a0ab9387..9f684c9d75ef 100644
--- a/langchain-core/src/tracers/tests/langsmith_interop.test.ts
+++ b/langchain-core/src/tracers/tests/langsmith_interop.test.ts
@@ -178,6 +178,155 @@ test.each(["true", "false"])(
   }
 );
 
+test.each(["true", "false"])(
+  "traceables nested within runnables with a context var set and with background callbacks %s",
+  async (value) => {
+    const { setContextVariable, getContextVariable } = await import(
+      "../../context.js"
+    );
+    process.env.LANGCHAIN_CALLBACKS_BACKGROUND = value;
+
+    setContextVariable("foo", "bar");
+    const aiGreet = traceable(
+      async (msg: BaseMessage, name = "world") => {
+        await new Promise((resolve) => setTimeout(resolve, 300));
+        expect(getContextVariable("foo")).toEqual("baz");
+        return msg.content + name;
+      },
+      { name: "aiGreet", tracingEnabled: true }
+    );
+
+    const root = RunnableLambda.from(async (messages: BaseMessage[]) => {
+      const lastMsg = messages.at(-1) as HumanMessage;
+      expect(getContextVariable("foo")).toEqual("bar");
+      setContextVariable("foo", "baz");
+      const greetOne = await aiGreet(lastMsg, "David");
+
+      return [greetOne];
+    });
+
+    await root.invoke([new HumanMessage({ content: "Hello!" })]);
+
+    const relevantCalls = fetchMock.mock.calls.filter((call: any) => {
+      return call[0].startsWith("https://api.smith.langchain.com/runs");
+    });
+
+    expect(relevantCalls.length).toEqual(4);
+    const firstCallParams = JSON.parse((relevantCalls[0][1] as any).body);
+    const secondCallParams = JSON.parse((relevantCalls[1][1] as any).body);
+    const thirdCallParams = JSON.parse((relevantCalls[2][1] as any).body);
+    const fourthCallParams = JSON.parse((relevantCalls[3][1] as any).body);
+    expect(firstCallParams).toMatchObject({
+      id: firstCallParams.id,
+      name: "RunnableLambda",
+      start_time: expect.any(Number),
+      serialized: {
+        lc: 1,
+        type: "not_implemented",
+        id: ["langchain_core", "runnables", "RunnableLambda"],
+      },
+      events: [{ name: "start", time: expect.any(String) }],
+      inputs: {
+        input: [
+          {
+            lc: 1,
+            type: "constructor",
+            id: ["langchain_core", "messages", "HumanMessage"],
+            kwargs: {
+              content: "Hello!",
+              additional_kwargs: {},
+              response_metadata: {},
+            },
+          },
+        ],
+      },
+      execution_order: 1,
+      child_execution_order: 1,
+      run_type: "chain",
+      extra: expect.any(Object),
+      tags: [],
+      trace_id: firstCallParams.id,
+      dotted_order: expect.any(String),
+    });
+    expect(secondCallParams).toMatchObject({
+      id: expect.any(String),
+      name: "aiGreet",
+      start_time: expect.any(Number),
+      run_type: "chain",
+      extra: expect.any(Object),
+      serialized: {},
+      inputs: {
+        args: [
+          {
+            lc: 1,
+            type: "constructor",
+            id: ["langchain_core", "messages", "HumanMessage"],
+            kwargs: {
+              content: "Hello!",
+              additional_kwargs: {},
+              response_metadata: {},
+            },
+          },
+          "David",
+        ],
+      },
+      child_runs: [],
+      parent_run_id: firstCallParams.id,
+      trace_id: firstCallParams.id,
+      dotted_order: expect.stringContaining(`${firstCallParams.dotted_order}.`),
+      tags: [],
+    });
+    expect(thirdCallParams).toMatchObject({
+      end_time: expect.any(Number),
+      inputs: {
+        args: [
+          {
+            lc: 1,
+            type: "constructor",
+            id: ["langchain_core", "messages", "HumanMessage"],
+            kwargs: {
+              content: "Hello!",
+              additional_kwargs: {},
+              response_metadata: {},
+            },
+          },
+          "David",
+        ],
+      },
+      outputs: { outputs: "Hello!David" },
+      parent_run_id: firstCallParams.id,
+      extra: expect.any(Object),
+      dotted_order: secondCallParams.dotted_order,
+      trace_id: firstCallParams.id,
+      tags: [],
+    });
+    expect(fourthCallParams).toMatchObject({
+      end_time: expect.any(Number),
+      outputs: { output: ["Hello!David"] },
+      events: [
+        { name: "start", time: expect.any(String) },
+        { name: "end", time: expect.any(String) },
+      ],
+      inputs: {
+        input: [
+          {
+            lc: 1,
+            type: "constructor",
+            id: ["langchain_core", "messages", "HumanMessage"],
+            kwargs: {
+              content: "Hello!",
+              additional_kwargs: {},
+              response_metadata: {},
+            },
+          },
+        ],
+      },
+      trace_id: firstCallParams.id,
+      dotted_order: firstCallParams.dotted_order,
+    });
+  }
+);
+
 test.each(["true", "false"])(
   "streaming traceables nested within runnables with background callbacks %s",
   async (value) => {
@@ -457,6 +606,153 @@ test.each(["true", "false"])(
   }
 );
 
+test.each(["true", "false"])(
+  "runnables nested within traceables and a context var set with background callbacks %s",
+  async (value) => {
+    const { setContextVariable, getContextVariable } = await import(
+      "../../context.js"
+    );
+    process.env.LANGCHAIN_CALLBACKS_BACKGROUND = value;
+    setContextVariable("foo", "bar");
+
+    const nested = RunnableLambda.from(async (messages: BaseMessage[]) => {
+      const lastMsg = messages.at(-1) as HumanMessage;
+      await new Promise((resolve) => setTimeout(resolve, 300));
+      expect(getContextVariable("foo")).toEqual("bar");
+      return [lastMsg.content];
+    });
+
+    const aiGreet = traceable(
+      async (msg: BaseMessage, name = "world") => {
+        const contents = await nested.invoke([msg]);
+        expect(getContextVariable("foo")).toEqual("bar");
+        return contents[0] + name;
+      },
+      { name: "aiGreet", tracingEnabled: true }
+    );
+
+    await aiGreet(new HumanMessage({ content: "Hello!" }), "mitochondria");
+
+    const relevantCalls = fetchMock.mock.calls.filter((call: any) => {
+      return call[0].startsWith("https://api.smith.langchain.com/runs");
+    });
+
+    expect(relevantCalls.length).toEqual(4);
+    const firstCallParams = JSON.parse((relevantCalls[0][1] as any).body);
+    const secondCallParams = JSON.parse((relevantCalls[1][1] as any).body);
+    const thirdCallParams = JSON.parse((relevantCalls[2][1] as any).body);
+    const fourthCallParams = JSON.parse((relevantCalls[3][1] as any).body);
+    expect(firstCallParams).toMatchObject({
+      id: firstCallParams.id,
+      name: "aiGreet",
+      start_time: expect.any(Number),
+      run_type: "chain",
+      extra: expect.any(Object),
+      serialized: {},
+      inputs: {
+        args: [
+          {
+            lc: 1,
+            type: "constructor",
+            id: ["langchain_core", "messages", "HumanMessage"],
+            kwargs: {
+              content: "Hello!",
+              additional_kwargs: {},
+              response_metadata: {},
+            },
+          },
+          "mitochondria",
+        ],
+      },
+      child_runs: [],
+      trace_id: firstCallParams.id,
+      dotted_order: firstCallParams.dotted_order,
+      tags: [],
+    });
+    expect(secondCallParams).toMatchObject({
+      id: secondCallParams.id,
+      name: "RunnableLambda",
+      parent_run_id: firstCallParams.id,
+      start_time: expect.any(Number),
+      serialized: {
+        lc: 1,
+        type: "not_implemented",
+        id: ["langchain_core", "runnables", "RunnableLambda"],
+      },
+      events: [{ name: "start", time: expect.any(String) }],
+      inputs: {
+        input: [
+          {
+            lc: 1,
+            type: "constructor",
+            id: ["langchain_core", "messages", "HumanMessage"],
+            kwargs: {
+              content: "Hello!",
+              additional_kwargs: {},
+              response_metadata: {},
+            },
+          },
+        ],
+      },
+      execution_order: 2,
+      child_execution_order: 2,
+      run_type: "chain",
+      extra: expect.any(Object),
+      tags: [],
+      trace_id: firstCallParams.id,
+      dotted_order: expect.stringContaining(`${firstCallParams.dotted_order}.`),
+    });
+    expect(thirdCallParams).toMatchObject({
+      end_time: expect.any(Number),
+      outputs: { output: ["Hello!"] },
+      events: [
+        { name: "start", time: expect.any(String) },
+        { name: "end", time: expect.any(String) },
+      ],
+      inputs: {
+        input: [
+          {
+            lc: 1,
+            type: "constructor",
+            id: ["langchain_core", "messages", "HumanMessage"],
+            kwargs: {
+              content: "Hello!",
+              additional_kwargs: {},
+              response_metadata: {},
+            },
+          },
+        ],
+      },
+      trace_id: firstCallParams.id,
+      dotted_order: expect.stringContaining(`${firstCallParams.dotted_order}.`),
+      parent_run_id: firstCallParams.id,
+    });
+    expect(fourthCallParams).toMatchObject({
+      end_time: expect.any(Number),
+      inputs: {
+        args: [
+          {
+            lc: 1,
+            type: "constructor",
+            id: ["langchain_core", "messages", "HumanMessage"],
+            kwargs: {
+              content: "Hello!",
+              additional_kwargs: {},
+              response_metadata: {},
+            },
+          },
+          "mitochondria",
+        ],
+      },
+      outputs: { outputs: "Hello!mitochondria" },
+      extra: expect.any(Object),
+      dotted_order: firstCallParams.dotted_order,
+      trace_id: firstCallParams.id,
+      tags: [],
+    });
+  }
+);
+
 test.each(["true", "false"])(
   "streaming runnables nested within traceables with background callbacks %s",
   async (value) => {
diff --git a/yarn.lock b/yarn.lock
index f2e3d751faf1..f35342496155 100644
--- a/yarn.lock
+++ b/yarn.lock
@@ -12000,7 +12000,7 @@ __metadata:
     jest: ^29.5.0
     jest-environment-node: ^29.6.4
     js-tiktoken: ^1.0.12
-    langsmith: ^0.1.56
+    langsmith: ^0.1.65
     ml-matrix: ^6.10.4
     mustache: ^4.2.0
     p-queue: ^6.6.2
@@ -32883,6 +32883,25 @@ __metadata:
   languageName: node
   linkType: hard
 
+"langsmith@npm:^0.1.65":
+  version: 0.1.65
+  resolution: "langsmith@npm:0.1.65"
+  dependencies:
+    "@types/uuid": ^10.0.0
+    commander: ^10.0.1
+    p-queue: ^6.6.2
+    p-retry: 4
+    semver: ^7.6.3
+    uuid: ^10.0.0
+  peerDependencies:
+    openai: "*"
+  peerDependenciesMeta:
+    openai:
+      optional: true
+  checksum: ca44f26733fbb20675b84f2586b90622b8cf1aedc82123f5574af04e88ba29348e28b2b63f410479aeb7e5c174d2fef13b4bd9eb68581d93a104950b1fafa40f
+  languageName: node
+  linkType: hard
+
 "language-subtag-registry@npm:^0.3.20, language-subtag-registry@npm:~0.3.2":
   version: 0.3.22
   resolution: "language-subtag-registry@npm:0.3.22"

From 60a8db42a368f293a48c1e9c87ae7f3698bea1f2 Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Fri, 11 Oct 2024 14:14:23 -0700
Subject: [PATCH 293/344] chore(core): Release 0.3.10 (#6972)

---
 langchain-core/package.json | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/langchain-core/package.json b/langchain-core/package.json
index 9df3964c8be2..de74b5a2d6c9 100644
--- a/langchain-core/package.json
+++ b/langchain-core/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/core",
-  "version": "0.3.9",
+  "version": "0.3.10",
   "description": "Core LangChain.js abstractions and schemas",
   "type": "module",
   "engines": {

From 278f9bea1d15ac7e25f0e4009d6571490dc2ed7a Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=E2=98=83=20Elliot=20Shepherd?= <elliot@jarofworms.com>
Date: Sat, 12 Oct 2024 09:24:46 +1100
Subject: [PATCH 294/344] feat(community): Return document ids when querying
 pgvector store (#6963)

---
 libs/langchain-community/src/vectorstores/pgvector.ts | 1 +
 1 file changed, 1 insertion(+)

diff --git a/libs/langchain-community/src/vectorstores/pgvector.ts b/libs/langchain-community/src/vectorstores/pgvector.ts
index ded20864b9f4..4b5e39b95827 100644
--- a/libs/langchain-community/src/vectorstores/pgvector.ts
+++ b/libs/langchain-community/src/vectorstores/pgvector.ts
@@ -686,6 +686,7 @@ export class PGVectorStore extends VectorStore {
         const document = new Document({
           pageContent: doc[this.contentColumnName],
           metadata: doc[this.metadataColumnName],
+          id: doc[this.idColumnName],
         });
         results.push([document, doc._distance]);
       }

From 2d0eb4f96ee2a4eaf4ca2ee8a9f10a2d22f01f54 Mon Sep 17 00:00:00 2001
From: Michael Norgren <m_norgren88@hotmail.com>
Date: Fri, 11 Oct 2024 17:25:05 -0500
Subject: [PATCH 295/344] feat(aws): Added AWS Bedrock Document and Image
 Support (#6956)

Co-authored-by: Michael Norgren <michael@solidrockcoding.com>
Co-authored-by: jacoblee93 <jacoblee93@gmail.com>
---
 libs/langchain-aws/src/common.ts | 11 +++++++++++
 1 file changed, 11 insertions(+)

diff --git a/libs/langchain-aws/src/common.ts b/libs/langchain-aws/src/common.ts
index fbb3356e90e4..8b0d8e0d2e18 100644
--- a/libs/langchain-aws/src/common.ts
+++ b/libs/langchain-aws/src/common.ts
@@ -144,6 +144,17 @@ export function convertToConverseMessages(messages: BaseMessage[]): {
               return {
                 text: block.text,
               };
+            } else if (
+              block.type === "document" &&
+              block.document !== undefined
+            ) {
+              return {
+                document: block.document,
+              };
+            } else if (block.type === "image" && block.image !== undefined) {
+              return {
+                image: block.image,
+              };
             } else {
               throw new Error(`Unsupported content block type: ${block.type}`);
             }

From ddbcaf4e11044d14f9cf5bde38fa845106f365fd Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Fri, 11 Oct 2024 15:28:35 -0700
Subject: [PATCH 296/344] chore(aws): Release 0.1.1 (#6973)

---
 libs/langchain-aws/package.json | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/libs/langchain-aws/package.json b/libs/langchain-aws/package.json
index 83b18261afc7..ce8979edcc2d 100644
--- a/libs/langchain-aws/package.json
+++ b/libs/langchain-aws/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/aws",
-  "version": "0.1.0",
+  "version": "0.1.1",
   "description": "LangChain AWS integration",
   "type": "module",
   "engines": {

From 47b5946ee77852c3fc727f3acbd52de5f565e65d Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Fri, 11 Oct 2024 15:38:32 -0700
Subject: [PATCH 297/344] chore(community): Release 0.3.5 (#6974)

---
 libs/langchain-community/package.json | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/libs/langchain-community/package.json b/libs/langchain-community/package.json
index 1a7d9f9e6d4b..743fb9a199a7 100644
--- a/libs/langchain-community/package.json
+++ b/libs/langchain-community/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/community",
-  "version": "0.3.4",
+  "version": "0.3.5",
   "description": "Third-party integrations for LangChain.js",
   "type": "module",
   "engines": {

From 8a6854b4eeae8e982124e500c347948fd4edb797 Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Fri, 11 Oct 2024 17:17:25 -0700
Subject: [PATCH 298/344] docs: Adds context variable example to tool runtime
 docs (#6975)

---
 docs/core_docs/docs/how_to/tool_runtime.ipynb | 261 +++++++++++++++---
 1 file changed, 218 insertions(+), 43 deletions(-)

diff --git a/docs/core_docs/docs/how_to/tool_runtime.ipynb b/docs/core_docs/docs/how_to/tool_runtime.ipynb
index ac23dde615b4..24a766e3cf78 100644
--- a/docs/core_docs/docs/how_to/tool_runtime.ipynb
+++ b/docs/core_docs/docs/how_to/tool_runtime.ipynb
@@ -28,17 +28,13 @@
     "\n",
     "Most of the time, such values should not be controlled by the LLM. In fact, allowing the LLM to control the user ID may lead to a security risk.\n",
     "\n",
-    "Instead, the LLM should only control the parameters of the tool that are meant to be controlled by the LLM, while other parameters (such as user ID) should be fixed by the application logic.\n",
-    "\n",
-    "This how-to guide shows a design pattern that creates the tool dynamically at run time and binds to them appropriate values."
+    "Instead, the LLM should only control the parameters of the tool that are meant to be controlled by the LLM, while other parameters (such as user ID) should be fixed by the application logic."
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "We can bind them to chat models as follows:\n",
-    "\n",
     "```{=mdx}\n",
     "import ChatModelTabs from \"@theme/ChatModelTabs\";\n",
     "\n",
@@ -48,11 +44,211 @@
     "```"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "// @lc-docs-hide-cell\n",
+    "\n",
+    "import { ChatOpenAI } from \"@langchain/openai\";\n",
+    "\n",
+    "const llm = new ChatOpenAI({ model: \"gpt-4o-mini\" })"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Using context variables\n",
+    "\n",
+    "```{=mdx}\n",
+    ":::caution Compatibility\n",
+    "This functionality was added in `@langchain/core>=0.3.10`. If you are using the LangSmith SDK separately in your project, we also recommend upgrading to `langsmith>=0.1.65`. Please make sure your packages are up to date.\n",
+    "\n",
+    "It also requires [`async_hooks`](https://nodejs.org/api/async_hooks.html) support, which is not supported in all environments.\n",
+    ":::\n",
+    "```\n",
+    "\n",
+    "One way to solve this problem is by using **context variables**. Context variables are a powerful feature that allows you to set values at a higher level of your application, then access them within child runnable (such as tools) called from that level.\n",
+    "\n",
+    "They work outside of traditional scoping rules, so you don't need to have a direct reference to the declared variable to pass it through\n",
+    "\n",
+    "For example, you could set a user ID as a context variable at the beginning of a request, and then access it within your tools without explicitly passing it to each tool.\n",
+    "\n",
+    "For example, you could declare a tool that updates a central `userToPets` state based on a `userId` as follows:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import { z } from \"zod\";\n",
+    "import { tool } from \"@langchain/core/tools\";\n",
+    "import { getContextVariable } from \"@langchain/core/context\";\n",
+    "\n",
+    "let userToPets: Record<string, string[]> = {};\n",
+    "\n",
+    "const updateFavoritePets = tool(async (input) => {\n",
+    "  const userId = getContextVariable(\"userId\");\n",
+    "  if (userId === undefined) {\n",
+    "    throw new Error(`No \"userId\" found in current context. Remember to call \"setContextVariable('userId', value)\";`);\n",
+    "  }\n",
+    "  userToPets[userId] = input.pets;\n",
+    "  return \"update_favorite_pets called.\"\n",
+    "}, {\n",
+    "  name: \"update_favorite_pets\",\n",
+    "  description: \"add to the list of favorite pets.\",\n",
+    "  schema: z.object({\n",
+    "    pets: z.array(z.string())\n",
+    "  }),\n",
+    "});"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "If you were to invoke the above tool before setting a context variable at a higher level, `userId` would be `undefined`:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Error: No \"userId\" found in current context. Remember to call \"setContextVariable('userId', value)\";\n",
+      "    at updateFavoritePets.name (evalmachine.<anonymous>:14:15)\n",
+      "    at /Users/jacoblee/langchain/langchainjs/langchain-core/dist/tools/index.cjs:329:33\n",
+      "    at AsyncLocalStorage.run (node:async_hooks:346:14)\n",
+      "    at AsyncLocalStorageProvider.runWithConfig (/Users/jacoblee/langchain/langchainjs/langchain-core/dist/singletons/index.cjs:58:24)\n",
+      "    at /Users/jacoblee/langchain/langchainjs/langchain-core/dist/tools/index.cjs:325:68\n",
+      "    at new Promise (<anonymous>)\n",
+      "    at DynamicStructuredTool.func (/Users/jacoblee/langchain/langchainjs/langchain-core/dist/tools/index.cjs:321:20)\n",
+      "    at DynamicStructuredTool._call (/Users/jacoblee/langchain/langchainjs/langchain-core/dist/tools/index.cjs:283:21)\n",
+      "    at DynamicStructuredTool.call (/Users/jacoblee/langchain/langchainjs/langchain-core/dist/tools/index.cjs:111:33)\n",
+      "    at async evalmachine.<anonymous>:3:22\n"
+     ]
+    }
+   ],
+   "source": [
+    "await updateFavoritePets.invoke({ pets: [\"cat\", \"dog\" ]})"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Instead, set a context variable with a parent of where the tools are invoked:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import { setContextVariable } from \"@langchain/core/context\";\n",
+    "import { BaseChatModel } from \"@langchain/core/language_models/chat_models\";\n",
+    "import { RunnableLambda } from \"@langchain/core/runnables\";\n",
+    "\n",
+    "const handleRunTimeRequestRunnable = RunnableLambda.from(async (params: {\n",
+    "  userId: string;\n",
+    "  query: string;\n",
+    "  llm: BaseChatModel;\n",
+    "}) => {\n",
+    "  const { userId, query, llm } = params;\n",
+    "  if (!llm.bindTools) {\n",
+    "    throw new Error(\"Language model does not support tools.\");\n",
+    "  }\n",
+    "  // Set a context variable accessible to any child runnables called within this one.\n",
+    "  // You can also set context variables at top level that act as globals.\n",
+    "  setContextVariable(\"userId\", userId);\n",
+    "  const tools = [updateFavoritePets];\n",
+    "  const llmWithTools = llm.bindTools(tools);\n",
+    "  const modelResponse = await llmWithTools.invoke(query);\n",
+    "  // For simplicity, skip checking the tool call's name field and assume\n",
+    "  // that the model is calling the \"updateFavoritePets\" tool\n",
+    "  if (modelResponse.tool_calls.length > 0) {\n",
+    "    return updateFavoritePets.invoke(modelResponse.tool_calls[0]);\n",
+    "  } else {\n",
+    "    return \"No tool invoked.\";\n",
+    "  }\n",
+    "});"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# Passing request time information\n",
+    "And when our method invokes the tools, you will see that the tool properly access the previously set `userId` context variable and runs successfully:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "ToolMessage {\n",
+      "  \"content\": \"update_favorite_pets called.\",\n",
+      "  \"name\": \"update_favorite_pets\",\n",
+      "  \"additional_kwargs\": {},\n",
+      "  \"response_metadata\": {},\n",
+      "  \"tool_call_id\": \"call_vsD2DbSpDquOtmFlOtbUME6h\"\n",
+      "}\n"
+     ]
+    }
+   ],
+   "source": [
+    "await handleRunTimeRequestRunnable.invoke({\n",
+    "  userId: \"brace\",\n",
+    "  query: \"my favorite animals are cats and parrots.\",\n",
+    "  llm: llm\n",
+    "});"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "And have additionally updated the `userToPets` object with a key matching the `userId` we passed, `\"brace\"`:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{ brace: [ 'cats', 'parrots' ] }\n"
+     ]
+    }
+   ],
+   "source": [
+    "console.log(userToPets);"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Without context variables\n",
+    "\n",
+    "If you are on an earlier version of core or an environment that does not support `async_hooks`, you can use the following design pattern that creates the tool dynamically at run time and binds to them appropriate values.\n",
     "\n",
     "The idea is to create the tool dynamically at request time, and bind to it the appropriate information. For example,\n",
     "this information may be the user ID as resolved from the request itself."
@@ -60,14 +256,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [],
    "source": [
     "import { z } from \"zod\";\n",
     "import { tool } from \"@langchain/core/tools\";\n",
     "\n",
-    "const userToPets: Record<string, string[]> = {};\n",
+    "userToPets = {};\n",
     "\n",
     "function generateToolsForUser(userId: string) {\n",
     "  const updateFavoritePets = tool(async (input) => {\n",
@@ -80,27 +276,8 @@
     "      pets: z.array(z.string())\n",
     "    }),\n",
     "  });\n",
-    "\n",
-    "  const deleteFavoritePets = tool(async () => {\n",
-    "    if (userId in userToPets) {\n",
-    "      delete userToPets[userId];\n",
-    "    }\n",
-    "    return \"delete_favorite_pets called.\";\n",
-    "  }, {\n",
-    "    name: \"delete_favorite_pets\",\n",
-    "    description: \"Delete the list of favorite pets.\",\n",
-    "    schema: z.object({}),\n",
-    "  });\n",
-    "\n",
-    "  const listFavoritePets = tool(async () => {\n",
-    "    return JSON.stringify(userToPets[userId] ?? []);\n",
-    "  }, {\n",
-    "    name: \"list_favorite_pets\",\n",
-    "    description: \"List favorite pets if any.\",\n",
-    "    schema: z.object({}),\n",
-    "  });\n",
-    "\n",
-    "  return [updateFavoritePets, deleteFavoritePets, listFavoritePets];\n",
+    "  // You can declare and return additional tools as well:\n",
+    "  return [updateFavoritePets];\n",
     "}"
    ]
   },
@@ -108,35 +285,33 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Verify that the tools work correctly"
+    "Verify that the tool works correctly"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "{ brace: [ 'cat', 'dog' ] }\n",
-      "[\"cat\",\"dog\"]\n"
+      "{ cobb: [ 'tiger', 'wolf' ] }\n"
      ]
     }
    ],
    "source": [
-    "const [updatePets, deletePets, listPets] = generateToolsForUser(\"brace\");\n",
+    "const [updatePets] = generateToolsForUser(\"cobb\");\n",
     "\n",
-    "await updatePets.invoke({ pets: [\"cat\", \"dog\"] });\n",
+    "await updatePets.invoke({ pets: [\"tiger\", \"wolf\"] });\n",
     "\n",
-    "console.log(userToPets);\n",
-    "console.log(await listPets.invoke({}));"
+    "console.log(userToPets);"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -156,12 +331,12 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "This code will allow the LLM to invoke the tools, but the LLM is **unaware** of the fact that a **user ID** even exists! You can see that `user_id` is not among the params the LLM generates:"
+    "This code will allow the LLM to invoke the tools, but the LLM is **unaware** of the fact that a **user ID** even exists. You can see that `user_id` is not among the params the LLM generates:"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [
     {
@@ -170,16 +345,16 @@
      "text": [
       "{\n",
       "  name: 'update_favorite_pets',\n",
-      "  args: { pets: [ 'cats', 'parrots' ] },\n",
+      "  args: { pets: [ 'tigers', 'wolves' ] },\n",
       "  type: 'tool_call',\n",
-      "  id: 'call_97h0nQ3B3cr0m58HOwq9ZyUz'\n",
+      "  id: 'call_FBF4D51SkVK2clsLOQHX6wTv'\n",
       "}\n"
      ]
     }
    ],
    "source": [
     "const aiMessage = await handleRunTimeRequest(\n",
-    "  \"brace\", \"my favorite animals are cats and parrots.\", llm,\n",
+    "  \"cobb\", \"my favorite pets are tigers and wolves.\", llm,\n",
     ");\n",
     "console.log(aiMessage.tool_calls[0]);"
    ]

From 26eb1dc84a7a9ad1cddfa23f2dd31f3c28458866 Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Sat, 12 Oct 2024 11:51:28 -0700
Subject: [PATCH 299/344] docs: Update tool_runtime.ipynb (#6976)

---
 docs/core_docs/docs/how_to/tool_runtime.ipynb | 6 ++----
 1 file changed, 2 insertions(+), 4 deletions(-)

diff --git a/docs/core_docs/docs/how_to/tool_runtime.ipynb b/docs/core_docs/docs/how_to/tool_runtime.ipynb
index 24a766e3cf78..4f27f5ef13e4 100644
--- a/docs/core_docs/docs/how_to/tool_runtime.ipynb
+++ b/docs/core_docs/docs/how_to/tool_runtime.ipynb
@@ -73,11 +73,9 @@
     "\n",
     "One way to solve this problem is by using **context variables**. Context variables are a powerful feature that allows you to set values at a higher level of your application, then access them within child runnable (such as tools) called from that level.\n",
     "\n",
-    "They work outside of traditional scoping rules, so you don't need to have a direct reference to the declared variable to pass it through\n",
+    "They work outside of traditional scoping rules, so you don't need to have a direct reference to the declared variable to access its value.\n",
     "\n",
-    "For example, you could set a user ID as a context variable at the beginning of a request, and then access it within your tools without explicitly passing it to each tool.\n",
-    "\n",
-    "For example, you could declare a tool that updates a central `userToPets` state based on a `userId` as follows:"
+    "Below, we declare a tool that updates a central `userToPets` state based on a context variable called `userId`. Note that this `userId` is not part of the tool schema or input:"
    ]
   },
   {

From 82836b297c4404aaeb63bb3d515d5a95623399b5 Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Sat, 12 Oct 2024 20:38:54 -0700
Subject: [PATCH 300/344] core(patch): Allow generic typing for context var
 methods (#6978)

---
 langchain-core/src/context.ts | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/langchain-core/src/context.ts b/langchain-core/src/context.ts
index ee5bd93a1a8d..ff12a9eb4fc8 100644
--- a/langchain-core/src/context.ts
+++ b/langchain-core/src/context.ts
@@ -62,7 +62,7 @@ AsyncLocalStorageProviderSingleton.initializeGlobalInstance(
  * @param value The value to set.
  */
 // eslint-disable-next-line @typescript-eslint/no-explicit-any
-export function setContextVariable(name: PropertyKey, value: any): void {
+export function setContextVariable<T>(name: PropertyKey, value: T): void {
   const runTree = AsyncLocalStorageProviderSingleton.getInstance().getStore();
   const contextVars = { ...runTree?.[_CONTEXT_VARIABLES_KEY] };
   contextVars[name] = value;
@@ -125,7 +125,7 @@ export function setContextVariable(name: PropertyKey, value: any): void {
  * @param name The name of the context variable.
  */
 // eslint-disable-next-line @typescript-eslint/no-explicit-any
-export function getContextVariable(name: PropertyKey): any {
+export function getContextVariable<T = any>(name: PropertyKey): T | undefined {
   const runTree = AsyncLocalStorageProviderSingleton.getInstance().getStore();
   return runTree?.[_CONTEXT_VARIABLES_KEY]?.[name];
 }

From 197cfe864c6dd362bfeb853a1954f2bf216321b7 Mon Sep 17 00:00:00 2001
From: Electrolux <59329360+electroluxcode@users.noreply.github.com>
Date: Mon, 14 Oct 2024 07:26:43 +0800
Subject: [PATCH 301/344] fix(docs): usage web-streams-polyfill (#6979)

---
 docs/core_docs/docs/how_to/installation.mdx              | 4 ++--
 langchain-core/package.json                              | 2 +-
 langchain-core/src/utils/tests/polyfill_stream.test.ts   | 2 +-
 .../src/tests/__mdx__/modules/index.mdx                  | 4 ++--
 libs/langchain-scripts/src/tests/__mdx__/modules/two.mdx | 4 ++--
 yarn.lock                                                | 9 +--------
 6 files changed, 9 insertions(+), 16 deletions(-)

diff --git a/docs/core_docs/docs/how_to/installation.mdx b/docs/core_docs/docs/how_to/installation.mdx
index cbeb1d54bcf5..6ad924629c33 100644
--- a/docs/core_docs/docs/how_to/installation.mdx
+++ b/docs/core_docs/docs/how_to/installation.mdx
@@ -270,13 +270,13 @@ You will have to make `fetch` available globally, either:
 You'll also need to [polyfill `ReadableStream`](https://www.npmjs.com/package/web-streams-polyfill) by installing:
 
 ```bash npm2yarn
-npm i web-streams-polyfill
+npm i web-streams-polyfill@4
 ```
 
 And then adding it to the global namespace in your main entrypoint:
 
 ```typescript
-import "web-streams-polyfill/es6";
+import "web-streams-polyfill/polyfill";
 ```
 
 Additionally you'll have to polyfill `structuredClone`, eg. by installing `core-js` and following the instructions [here](https://github.com/zloirock/core-js).
diff --git a/langchain-core/package.json b/langchain-core/package.json
index de74b5a2d6c9..9fda556403cd 100644
--- a/langchain-core/package.json
+++ b/langchain-core/package.json
@@ -68,7 +68,7 @@
     "rimraf": "^5.0.1",
     "ts-jest": "^29.1.0",
     "typescript": "~5.1.6",
-    "web-streams-polyfill": "^3.3.3"
+    "web-streams-polyfill": "^4.0.0"
   },
   "publishConfig": {
     "access": "public"
diff --git a/langchain-core/src/utils/tests/polyfill_stream.test.ts b/langchain-core/src/utils/tests/polyfill_stream.test.ts
index 6e18daa16718..ecbf21960f99 100644
--- a/langchain-core/src/utils/tests/polyfill_stream.test.ts
+++ b/langchain-core/src/utils/tests/polyfill_stream.test.ts
@@ -1,4 +1,4 @@
-import "web-streams-polyfill";
+import "web-streams-polyfill/polyfill";
 import { test, expect } from "@jest/globals";
 import { FakeStreamingLLM } from "../testing/index.js";
 import { StringOutputParser } from "../../output_parsers/string.js";
diff --git a/libs/langchain-scripts/src/tests/__mdx__/modules/index.mdx b/libs/langchain-scripts/src/tests/__mdx__/modules/index.mdx
index 5535f82d125e..5bf7d9bf49b7 100644
--- a/libs/langchain-scripts/src/tests/__mdx__/modules/index.mdx
+++ b/libs/langchain-scripts/src/tests/__mdx__/modules/index.mdx
@@ -224,13 +224,13 @@ You will have to make `fetch` available globally, either:
 You'll also need to [polyfill `ReadableStream`](https://www.npmjs.com/package/web-streams-polyfill) by installing:
 
 ```bash npm2yarn
-npm i web-streams-polyfill
+npm i web-streams-polyfill@4
 ```
 
 And then adding it to the global namespace in your main entrypoint:
 
 ```typescript
-import "web-streams-polyfill/es6";
+import "web-streams-polyfill/polyfill";
 ```
 
 Additionally you'll have to polyfill `structuredClone`, eg. by installing `core-js` and following the instructions [here](https://github.com/zloirock/core-js).
diff --git a/libs/langchain-scripts/src/tests/__mdx__/modules/two.mdx b/libs/langchain-scripts/src/tests/__mdx__/modules/two.mdx
index 7825b4109b27..55a1feda31e8 100644
--- a/libs/langchain-scripts/src/tests/__mdx__/modules/two.mdx
+++ b/libs/langchain-scripts/src/tests/__mdx__/modules/two.mdx
@@ -223,13 +223,13 @@ You will have to make `fetch` available globally, either:
 You'll also need to [polyfill `ReadableStream`](https://www.npmjs.com/package/web-streams-polyfill) by installing:
 
 ```bash npm2yarn
-npm i web-streams-polyfill
+npm i web-streams-polyfill@4
 ```
 
 And then adding it to the global namespace in your main entrypoint:
 
 ```typescript
-import "web-streams-polyfill/es6";
+import "web-streams-polyfill/polyfill";
 ```
 
 Additionally you'll have to polyfill `structuredClone`, eg. by installing `core-js` and following the instructions [here](https://github.com/zloirock/core-js).
diff --git a/yarn.lock b/yarn.lock
index f35342496155..1fe7985fcf4d 100644
--- a/yarn.lock
+++ b/yarn.lock
@@ -12011,7 +12011,7 @@ __metadata:
     ts-jest: ^29.1.0
     typescript: ~5.1.6
     uuid: ^10.0.0
-    web-streams-polyfill: ^3.3.3
+    web-streams-polyfill: ^4.0.0
     zod: ^3.22.4
     zod-to-json-schema: ^3.22.3
   languageName: unknown
@@ -42930,13 +42930,6 @@ __metadata:
   languageName: node
   linkType: hard
 
-"web-streams-polyfill@npm:^3.3.3":
-  version: 3.3.3
-  resolution: "web-streams-polyfill@npm:3.3.3"
-  checksum: 21ab5ea08a730a2ef8023736afe16713b4f2023ec1c7085c16c8e293ee17ed085dff63a0ad8722da30c99c4ccbd4ccd1b2e79c861829f7ef2963d7de7004c2cb
-  languageName: node
-  linkType: hard
-
 "web-streams-polyfill@npm:^4.0.0":
   version: 4.0.0
   resolution: "web-streams-polyfill@npm:4.0.0"

From 10f1288d5243b28b90ee801aefb2fc332565d5f5 Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Sun, 13 Oct 2024 16:47:55 -0700
Subject: [PATCH 302/344] docs: Update for docs build (#6980)

---
 docs/core_docs/docs/integrations/llms/jigsawstack.mdx    | 5 +++++
 docs/core_docs/docs/integrations/vectorstores/libsql.mdx | 5 +++++
 2 files changed, 10 insertions(+)

diff --git a/docs/core_docs/docs/integrations/llms/jigsawstack.mdx b/docs/core_docs/docs/integrations/llms/jigsawstack.mdx
index 717df11087ac..1060f55ee323 100644
--- a/docs/core_docs/docs/integrations/llms/jigsawstack.mdx
+++ b/docs/core_docs/docs/integrations/llms/jigsawstack.mdx
@@ -36,3 +36,8 @@ export const run = async () => {
   console.log({ res });
 };
 ```
+
+## Related
+
+- LLM [conceptual guide](/docs/concepts/#llms)
+- LLM [how-to guides](/docs/how_to/#llms)
diff --git a/docs/core_docs/docs/integrations/vectorstores/libsql.mdx b/docs/core_docs/docs/integrations/vectorstores/libsql.mdx
index 0d138c184220..2d836b54ae04 100644
--- a/docs/core_docs/docs/integrations/vectorstores/libsql.mdx
+++ b/docs/core_docs/docs/integrations/vectorstores/libsql.mdx
@@ -162,3 +162,8 @@ for (const [doc, score] of similaritySearchWithScoreResults) {
 ## API reference
 
 For detailed documentation of all `LibSQLVectorStore` features and configurations head to the API reference.
+
+## Related
+
+- Vector store [conceptual guide](/docs/concepts/#vectorstores)
+- Vector store [how-to guides](/docs/how_to/#vectorstores)

From dcb76fb339b95410073cb3d4e95f665b0318b626 Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Sun, 13 Oct 2024 16:48:05 -0700
Subject: [PATCH 303/344] fix(core): Fix config passing for single string input
 tools (#6981)

---
 langchain-core/src/tools/index.ts            | 22 +++++++++++++++++---
 langchain-core/src/tools/tests/tools.test.ts |  5 +++--
 2 files changed, 22 insertions(+), 5 deletions(-)

diff --git a/langchain-core/src/tools/index.ts b/langchain-core/src/tools/index.ts
index e4946d37bb26..844295e605f8 100644
--- a/langchain-core/src/tools/index.ts
+++ b/langchain-core/src/tools/index.ts
@@ -586,9 +586,25 @@ export function tool<
         fields.description ??
         fields.schema?.description ??
         `${fields.name} tool`,
-      // TS doesn't restrict the type here based on the guard above
-      // eslint-disable-next-line @typescript-eslint/no-explicit-any
-      func: func as any,
+      func: async (input, runManager, config) => {
+        return new Promise((resolve, reject) => {
+          const childConfig = patchConfig(config, {
+            callbacks: runManager?.getChild(),
+          });
+          void AsyncLocalStorageProviderSingleton.runWithConfig(
+            childConfig,
+            async () => {
+              try {
+                // TS doesn't restrict the type here based on the guard above
+                // eslint-disable-next-line @typescript-eslint/no-explicit-any
+                resolve(func(input as any, childConfig));
+              } catch (e) {
+                reject(e);
+              }
+            }
+          );
+        });
+      },
     });
   }
 
diff --git a/langchain-core/src/tools/tests/tools.test.ts b/langchain-core/src/tools/tests/tools.test.ts
index f2a4a63c1357..d5587756ee2e 100644
--- a/langchain-core/src/tools/tests/tools.test.ts
+++ b/langchain-core/src/tools/tests/tools.test.ts
@@ -103,7 +103,8 @@ test("Returns tool message if responseFormat is content_and_artifact and returns
 
 test("Tool can accept single string input", async () => {
   const stringTool = tool<z.ZodString>(
-    (input: string): string => {
+    (input: string, config): string => {
+      expect(config).toMatchObject({ configurable: { foo: "bar" } });
       return `${input}a`;
     },
     {
@@ -113,7 +114,7 @@ test("Tool can accept single string input", async () => {
     }
   );
 
-  const result = await stringTool.invoke("b");
+  const result = await stringTool.invoke("b", { configurable: { foo: "bar" } });
   expect(result).toBe("ba");
 });
 

From 4f1a6a11187cdca438dfd2d0478a29ba8e149358 Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Sun, 13 Oct 2024 16:57:04 -0700
Subject: [PATCH 304/344] chore(core): Release 0.3.11 (#6982)

---
 langchain-core/package.json | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/langchain-core/package.json b/langchain-core/package.json
index 9fda556403cd..74a13359e3ce 100644
--- a/langchain-core/package.json
+++ b/langchain-core/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/core",
-  "version": "0.3.10",
+  "version": "0.3.11",
   "description": "Core LangChain.js abstractions and schemas",
   "type": "module",
   "engines": {

From d0f5d301d6fd7378e8f31c8cb22ab0efc9de25ff Mon Sep 17 00:00:00 2001
From: DK <debu.samadder@gmail.com>
Date: Mon, 14 Oct 2024 05:27:18 +0530
Subject: [PATCH 305/344] feat(cohere): Cohere custom client support (#6938)

Co-authored-by: Brace Sproul <braceasproul@gmail.com>
Co-authored-by: jacoblee93 <jacoblee93@gmail.com>
---
 .../docs/integrations/chat/cohere.ipynb       | 35 ++++++++++++
 .../document_compressors/cohere_rerank.mdx    |  8 +++
 .../docs/integrations/llms/cohere.ipynb       | 41 +++++++++++++-
 .../integrations/text_embedding/cohere.ipynb  | 35 ++++++++++++
 examples/package.json                         |  1 +
 .../cohere_rerank_custom_client.ts            | 54 +++++++++++++++++++
 libs/langchain-cohere/package.json            |  2 +-
 libs/langchain-cohere/src/chat_models.ts      | 28 +++++-----
 libs/langchain-cohere/src/client.ts           | 28 ++++++++++
 libs/langchain-cohere/src/embeddings.ts       | 16 ++----
 libs/langchain-cohere/src/llms.ts             | 20 ++-----
 libs/langchain-cohere/src/rerank.ts           | 19 ++-----
 yarn.lock                                     | 14 ++---
 13 files changed, 234 insertions(+), 67 deletions(-)
 create mode 100644 examples/src/document_compressors/cohere_rerank_custom_client.ts
 create mode 100644 libs/langchain-cohere/src/client.ts

diff --git a/docs/core_docs/docs/integrations/chat/cohere.ipynb b/docs/core_docs/docs/integrations/chat/cohere.ipynb
index 375ad61993f9..fd14be747f9f 100644
--- a/docs/core_docs/docs/integrations/chat/cohere.ipynb
+++ b/docs/core_docs/docs/integrations/chat/cohere.ipynb
@@ -11,6 +11,7 @@
    "source": [
     "---\n",
     "sidebar_label: Cohere\n",
+    "lc_docs_skip_validation: true\n",
     "---"
    ]
   },
@@ -107,6 +108,40 @@
     "})"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "cd31a8b7",
+   "metadata": {},
+   "source": [
+    "### Custom client for Cohere on Azure, Cohere on AWS Bedrock, and Standalone Cohere Instance.\n",
+    "\n",
+    "We can instantiate a custom `CohereClient` and pass it to the ChatCohere constructor.\n",
+    "\n",
+    "**Note:** If a custom client is provided both `COHERE_API_KEY` environment variable and `apiKey` parameter in the constructor will be ignored."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "d92326b8",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import { ChatCohere } from \"@langchain/cohere\";\n",
+    "import { CohereClient } from \"cohere-ai\";\n",
+    "\n",
+    "const client = new CohereClient({\n",
+    "  token: \"<your-api-key>\",\n",
+    "  environment: \"<your-cohere-deployment-url>\", //optional\n",
+    "  // other params\n",
+    "});\n",
+    "\n",
+    "const llmWithCustomClient = new ChatCohere({\n",
+    "  client,\n",
+    "  // other params...\n",
+    "});"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "2b4f3e15",
diff --git a/docs/core_docs/docs/integrations/document_compressors/cohere_rerank.mdx b/docs/core_docs/docs/integrations/document_compressors/cohere_rerank.mdx
index 2114d3d34f3c..af34c3c549dd 100644
--- a/docs/core_docs/docs/integrations/document_compressors/cohere_rerank.mdx
+++ b/docs/core_docs/docs/integrations/document_compressors/cohere_rerank.mdx
@@ -33,3 +33,11 @@ import ExampleCompressor from "@examples/document_compressors/cohere_rerank_comp
 From the results, we can see it returned the top 3 documents, and assigned a `relevanceScore` to each.
 
 As expected, the document with the highest `relevanceScore` is the one that references Washington, D.C., with a score of `98.7%`!
+
+### Usage with `CohereClient`
+
+If you are using Cohere on Azure, AWS Bedrock or a standalone instance you can use the `CohereClient` to create a `CohereRerank` instance with your endpoint.
+
+import ExampleClient from "@examples/document_compressors/cohere_rerank_custom_client.ts";
+
+<CodeBlock language="typescript">{ExampleClient}</CodeBlock>
diff --git a/docs/core_docs/docs/integrations/llms/cohere.ipynb b/docs/core_docs/docs/integrations/llms/cohere.ipynb
index 63ac3e60d16f..7e4f20391841 100644
--- a/docs/core_docs/docs/integrations/llms/cohere.ipynb
+++ b/docs/core_docs/docs/integrations/llms/cohere.ipynb
@@ -3,10 +3,15 @@
   {
    "cell_type": "raw",
    "id": "67db2992",
-   "metadata": {},
+   "metadata": {
+    "vscode": {
+     "languageId": "raw"
+    }
+   },
    "source": [
     "---\n",
     "sidebar_label: Cohere\n",
+    "lc_docs_skip_validation: true\n",
     "---"
    ]
   },
@@ -106,6 +111,40 @@
     "})"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "2518004d",
+   "metadata": {},
+   "source": [
+    "### Custom client for Cohere on Azure, Cohere on AWS Bedrock, and Standalone Cohere Instance.\n",
+    "\n",
+    "We can instantiate a custom `CohereClient` and pass it to the ChatCohere constructor.\n",
+    "\n",
+    "**Note:** If a custom client is provided both `COHERE_API_KEY` environment variable and `apiKey` parameter in the constructor will be ignored."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "79da9b26",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import { Cohere } from \"@langchain/cohere\";\n",
+    "import { CohereClient } from \"cohere-ai\";\n",
+    "\n",
+    "const client = new CohereClient({\n",
+    "  token: \"<your-api-key>\",\n",
+    "  environment: \"<your-cohere-deployment-url>\", //optional\n",
+    "  // other params\n",
+    "});\n",
+    "\n",
+    "const llmWithCustomClient = new Cohere({\n",
+    "  client,\n",
+    "  // other params...\n",
+    "});"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "0ee90032",
diff --git a/docs/core_docs/docs/integrations/text_embedding/cohere.ipynb b/docs/core_docs/docs/integrations/text_embedding/cohere.ipynb
index 764b1e13ac6b..2e0ab4847719 100644
--- a/docs/core_docs/docs/integrations/text_embedding/cohere.ipynb
+++ b/docs/core_docs/docs/integrations/text_embedding/cohere.ipynb
@@ -11,6 +11,7 @@
    "source": [
     "---\n",
     "sidebar_label: Cohere\n",
+    "lc_docs_skip_validation: true\n",
     "---"
    ]
   },
@@ -91,6 +92,40 @@
     "});"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "b6470d5e",
+   "metadata": {},
+   "source": [
+    "### Custom client for Cohere on Azure, Cohere on AWS Bedrock, and Standalone Cohere Instance.\n",
+    "\n",
+    "We can instantiate a custom `CohereClient` and pass it to the ChatCohere constructor.\n",
+    "\n",
+    "**Note:** If a custom client is provided both `COHERE_API_KEY` environment variable and apiKey parameter in the constructor will be ignored"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "a241b0f0",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import { CohereEmbeddings } from \"@langchain/cohere\";\n",
+    "import { CohereClient } from \"cohere-ai\";\n",
+    "\n",
+    "const client = new CohereClient({\n",
+    "  token: \"<your-api-key>\",\n",
+    "  environment: \"<your-cohere-deployment-url>\", //optional\n",
+    "  // other params\n",
+    "});\n",
+    "\n",
+    "const embeddingsWithCustomClient = new CohereEmbeddings({\n",
+    "  client,\n",
+    "  // other params...\n",
+    "});"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "77d271b6",
diff --git a/examples/package.json b/examples/package.json
index 6f594a800c2a..4d3048e5912b 100644
--- a/examples/package.json
+++ b/examples/package.json
@@ -78,6 +78,7 @@
     "@zilliz/milvus2-sdk-node": "^2.3.5",
     "axios": "^0.26.0",
     "chromadb": "^1.5.3",
+    "cohere-ai": "^7.14.0",
     "convex": "^1.3.1",
     "date-fns": "^3.3.1",
     "duck-duck-scrape": "^2.2.5",
diff --git a/examples/src/document_compressors/cohere_rerank_custom_client.ts b/examples/src/document_compressors/cohere_rerank_custom_client.ts
new file mode 100644
index 000000000000..8970a97110ae
--- /dev/null
+++ b/examples/src/document_compressors/cohere_rerank_custom_client.ts
@@ -0,0 +1,54 @@
+import { CohereRerank } from "@langchain/cohere";
+import { CohereClient } from "cohere-ai";
+import { Document } from "@langchain/core/documents";
+
+const query = "What is the capital of the United States?";
+const docs = [
+  new Document({
+    pageContent:
+      "Carson City is the capital city of the American state of Nevada. At the 2010 United States Census, Carson City had a population of 55,274.",
+  }),
+  new Document({
+    pageContent:
+      "The Commonwealth of the Northern Mariana Islands is a group of islands in the Pacific Ocean that are a political division controlled by the United States. Its capital is Saipan.",
+  }),
+  new Document({
+    pageContent:
+      "Charlotte Amalie is the capital and largest city of the United States Virgin Islands. It has about 20,000 people. The city is on the island of Saint Thomas.",
+  }),
+  new Document({
+    pageContent:
+      "Washington, D.C. (also known as simply Washington or D.C., and officially as the District of Columbia) is the capital of the United States. It is a federal district. The President of the USA and many major national government offices are in the territory. This makes it the political center of the United States of America.",
+  }),
+  new Document({
+    pageContent:
+      "Capital punishment (the death penalty) has existed in the United States since before the United States was a country. As of 2017, capital punishment is legal in 30 of the 50 states. The federal government (including the United States military) also uses capital punishment.",
+  }),
+];
+
+const client = new CohereClient({
+  token: process.env.COHERE_API_KEY,
+  environment: "<your-cohere-deployment-url>", // optional
+  // other params
+});
+
+const cohereRerank = new CohereRerank({
+  client, // apiKey will be ignored even if provided
+  model: "rerank-english-v2.0",
+});
+
+const rerankedDocuments = await cohereRerank.rerank(docs, query, {
+  topN: 5,
+});
+
+console.log(rerankedDocuments);
+
+/*
+  [
+    { index: 3, relevanceScore: 0.9871293 },
+    { index: 1, relevanceScore: 0.29961726 },
+    { index: 4, relevanceScore: 0.27542195 },
+    { index: 0, relevanceScore: 0.08977329 },
+    { index: 2, relevanceScore: 0.041462272 }
+  ]
+*/
diff --git a/libs/langchain-cohere/package.json b/libs/langchain-cohere/package.json
index 5c68c5adca88..9fd44dbe24c9 100644
--- a/libs/langchain-cohere/package.json
+++ b/libs/langchain-cohere/package.json
@@ -35,7 +35,7 @@
   "author": "LangChain",
   "license": "MIT",
   "dependencies": {
-    "cohere-ai": "^7.10.5",
+    "cohere-ai": "^7.14.0",
     "uuid": "^10.0.0",
     "zod": "^3.23.8",
     "zod-to-json-schema": "^3.23.1"
diff --git a/libs/langchain-cohere/src/chat_models.ts b/libs/langchain-cohere/src/chat_models.ts
index ec5ed43b6b43..50695e1f5fcd 100644
--- a/libs/langchain-cohere/src/chat_models.ts
+++ b/libs/langchain-cohere/src/chat_models.ts
@@ -1,14 +1,14 @@
 /* eslint-disable @typescript-eslint/no-explicit-any */
-import { CohereClient, Cohere } from "cohere-ai";
+import { Cohere, CohereClient } from "cohere-ai";
 import { ToolResult } from "cohere-ai/api/index.js";
 
 import { zodToJsonSchema } from "zod-to-json-schema";
 import {
-  MessageType,
-  type BaseMessage,
-  MessageContent,
   AIMessage,
+  type BaseMessage,
   isAIMessage,
+  MessageContent,
+  MessageType,
 } from "@langchain/core/messages";
 import {
   BaseLanguageModelInput,
@@ -17,11 +17,11 @@ import {
 import { isLangChainTool } from "@langchain/core/utils/function_calling";
 import { CallbackManagerForLLMRun } from "@langchain/core/callbacks/manager";
 import {
-  type BaseChatModelParams,
   BaseChatModel,
-  LangSmithParams,
   BaseChatModelCallOptions,
+  type BaseChatModelParams,
   BindToolsInput,
+  LangSmithParams,
 } from "@langchain/core/language_models/chat_models";
 import {
   ChatGeneration,
@@ -29,22 +29,22 @@ import {
   ChatResult,
 } from "@langchain/core/outputs";
 import { AIMessageChunk } from "@langchain/core/messages";
-import { getEnvironmentVariable } from "@langchain/core/utils/env";
 import { NewTokenIndices } from "@langchain/core/callbacks/base";
 import {
-  ToolMessage,
   ToolCall,
   ToolCallChunk,
+  ToolMessage,
 } from "@langchain/core/messages/tool";
 import * as uuid from "uuid";
 import { Runnable } from "@langchain/core/runnables";
+import { CohereClientOptions, getCohereClient } from "./client.js";
 
 type ChatCohereToolType = BindToolsInput | Cohere.Tool;
 
 /**
  * Input interface for ChatCohere
  */
-export interface ChatCohereInput extends BaseChatModelParams {
+export interface BaseChatCohereInput extends BaseChatModelParams {
   /**
    * The API key to use.
    * @default {process.env.COHERE_API_KEY}
@@ -78,6 +78,8 @@ export interface ChatCohereInput extends BaseChatModelParams {
   streamUsage?: boolean;
 }
 
+export type ChatCohereInput = BaseChatCohereInput & CohereClientOptions;
+
 interface TokenUsage {
   completionTokens?: number;
   promptTokens?: number;
@@ -732,14 +734,8 @@ export class ChatCohere<
   constructor(fields?: ChatCohereInput) {
     super(fields ?? {});
 
-    const token = fields?.apiKey ?? getEnvironmentVariable("COHERE_API_KEY");
-    if (!token) {
-      throw new Error("No API key provided for ChatCohere.");
-    }
+    this.client = getCohereClient(fields);
 
-    this.client = new CohereClient({
-      token,
-    });
     this.model = fields?.model ?? this.model;
     this.temperature = fields?.temperature ?? this.temperature;
     this.streaming = fields?.streaming ?? this.streaming;
diff --git a/libs/langchain-cohere/src/client.ts b/libs/langchain-cohere/src/client.ts
new file mode 100644
index 000000000000..65d1a9093ff8
--- /dev/null
+++ b/libs/langchain-cohere/src/client.ts
@@ -0,0 +1,28 @@
+import { CohereClient } from "cohere-ai";
+import { getEnvironmentVariable } from "@langchain/core/utils/env";
+
+export type CohereClientOptions = {
+  /**
+   * The API key to use. Ignored if `client` is provided
+   * @default {process.env.COHERE_API_KEY}
+   */
+  apiKey?: string;
+
+  /**
+   * The CohereClient instance to use. Superseeds `apiKey`
+   */
+  client?: CohereClient;
+};
+
+export function getCohereClient(fields?: CohereClientOptions): CohereClient {
+  if (fields?.client) {
+    return fields.client;
+  }
+
+  const apiKey = fields?.apiKey ?? getEnvironmentVariable("COHERE_API_KEY");
+
+  if (!apiKey) {
+    throw new Error("COHERE_API_KEY must be set");
+  }
+  return new CohereClient({ token: apiKey });
+}
diff --git a/libs/langchain-cohere/src/embeddings.ts b/libs/langchain-cohere/src/embeddings.ts
index f04ee1815887..396a6ee5049c 100644
--- a/libs/langchain-cohere/src/embeddings.ts
+++ b/libs/langchain-cohere/src/embeddings.ts
@@ -1,8 +1,8 @@
 import { CohereClient } from "cohere-ai";
 
-import { getEnvironmentVariable } from "@langchain/core/utils/env";
 import { Embeddings, EmbeddingsParams } from "@langchain/core/embeddings";
 import { chunkArray } from "@langchain/core/utils/chunk_array";
+import { CohereClientOptions, getCohereClient } from "./client.js";
 
 /**
  * Interface that extends EmbeddingsParams and defines additional
@@ -57,23 +57,13 @@ export class CohereEmbeddings
   constructor(
     fields?: Partial<CohereEmbeddingsParams> & {
       verbose?: boolean;
-      apiKey?: string;
-    }
+    } & CohereClientOptions
   ) {
     const fieldsWithDefaults = { maxConcurrency: 2, ...fields };
 
     super(fieldsWithDefaults);
 
-    const apiKey =
-      fieldsWithDefaults?.apiKey || getEnvironmentVariable("COHERE_API_KEY");
-
-    if (!apiKey) {
-      throw new Error("Cohere API key not found");
-    }
-
-    this.client = new CohereClient({
-      token: apiKey,
-    });
+    this.client = getCohereClient(fieldsWithDefaults);
     this.model = fieldsWithDefaults?.model ?? this.model;
 
     if (!this.model) {
diff --git a/libs/langchain-cohere/src/llms.ts b/libs/langchain-cohere/src/llms.ts
index 1021643ac6ef..a9b57cb6b579 100644
--- a/libs/langchain-cohere/src/llms.ts
+++ b/libs/langchain-cohere/src/llms.ts
@@ -1,14 +1,14 @@
 import { CohereClient, Cohere as CohereTypes } from "cohere-ai";
 
-import { getEnvironmentVariable } from "@langchain/core/utils/env";
 import { LLM, type BaseLLMParams } from "@langchain/core/language_models/llms";
 import { CallbackManagerForLLMRun } from "@langchain/core/callbacks/manager";
 import type { BaseLanguageModelCallOptions } from "@langchain/core/language_models/base";
+import { CohereClientOptions, getCohereClient } from "./client.js";
 
 /**
  * Interface for the input parameters specific to the Cohere model.
  */
-export interface CohereInput extends BaseLLMParams {
+export interface BaseCohereInput extends BaseLLMParams {
   /** Sampling temperature to use */
   temperature?: number;
 
@@ -19,10 +19,10 @@ export interface CohereInput extends BaseLLMParams {
 
   /** Model to use */
   model?: string;
-
-  apiKey?: string;
 }
 
+export type CohereInput = BaseCohereInput & CohereClientOptions;
+
 interface CohereCallOptions
   extends BaseLanguageModelCallOptions,
     Partial<Omit<CohereTypes.GenerateRequest, "message">> {}
@@ -78,17 +78,7 @@ export class Cohere extends LLM<CohereCallOptions> implements CohereInput {
   constructor(fields?: CohereInput) {
     super(fields ?? {});
 
-    const apiKey = fields?.apiKey ?? getEnvironmentVariable("COHERE_API_KEY");
-
-    if (!apiKey) {
-      throw new Error(
-        "Please set the COHERE_API_KEY environment variable or pass it to the constructor as the apiKey field."
-      );
-    }
-
-    this.client = new CohereClient({
-      token: apiKey,
-    });
+    this.client = getCohereClient(fields);
     this.maxTokens = fields?.maxTokens ?? this.maxTokens;
     this.temperature = fields?.temperature ?? this.temperature;
     this.model = fields?.model ?? this.model;
diff --git a/libs/langchain-cohere/src/rerank.ts b/libs/langchain-cohere/src/rerank.ts
index 21e188cc70ff..78a13efa2f83 100644
--- a/libs/langchain-cohere/src/rerank.ts
+++ b/libs/langchain-cohere/src/rerank.ts
@@ -1,14 +1,9 @@
 import { DocumentInterface } from "@langchain/core/documents";
 import { BaseDocumentCompressor } from "@langchain/core/retrievers/document_compressors";
-import { getEnvironmentVariable } from "@langchain/core/utils/env";
 import { CohereClient } from "cohere-ai";
+import { CohereClientOptions, getCohereClient } from "./client.js";
 
-export interface CohereRerankArgs {
-  /**
-   * The API key to use.
-   * @default {process.env.COHERE_API_KEY}
-   */
-  apiKey?: string;
+export interface BaseCohereRerankArgs {
   /**
    * The name of the model to use.
    * @default {"rerank-english-v2.0"}
@@ -25,6 +20,7 @@ export interface CohereRerankArgs {
   maxChunksPerDoc?: number;
 }
 
+type CohereRerankArgs = BaseCohereRerankArgs & CohereClientOptions;
 /**
  * Document compressor that uses `Cohere Rerank API`.
  */
@@ -39,14 +35,9 @@ export class CohereRerank extends BaseDocumentCompressor {
 
   constructor(fields?: CohereRerankArgs) {
     super();
-    const token = fields?.apiKey ?? getEnvironmentVariable("COHERE_API_KEY");
-    if (!token) {
-      throw new Error("No API key provided for CohereRerank.");
-    }
 
-    this.client = new CohereClient({
-      token,
-    });
+    this.client = getCohereClient(fields);
+
     this.model = fields?.model ?? this.model;
     if (!this.model) {
       throw new Error(
diff --git a/yarn.lock b/yarn.lock
index 1fe7985fcf4d..fc0c198bcc6b 100644
--- a/yarn.lock
+++ b/yarn.lock
@@ -11404,7 +11404,7 @@ __metadata:
     "@tsconfig/recommended": ^1.0.3
     "@typescript-eslint/eslint-plugin": ^6.12.0
     "@typescript-eslint/parser": ^6.12.0
-    cohere-ai: ^7.10.5
+    cohere-ai: ^7.14.0
     dotenv: ^16.3.1
     dpdm: ^3.12.0
     eslint: ^8.33.0
@@ -23196,15 +23196,15 @@ __metadata:
   languageName: node
   linkType: hard
 
-"cohere-ai@npm:^7.10.5":
-  version: 7.10.5
-  resolution: "cohere-ai@npm:7.10.5"
+"cohere-ai@npm:^7.14.0":
+  version: 7.14.0
+  resolution: "cohere-ai@npm:7.14.0"
   dependencies:
     "@aws-sdk/client-sagemaker": ^3.583.0
     "@aws-sdk/credential-providers": ^3.583.0
     "@aws-sdk/protocol-http": ^3.374.0
     "@aws-sdk/signature-v4": ^3.374.0
-    form-data: 4.0.0
+    form-data: ^4.0.0
     form-data-encoder: ^4.0.2
     formdata-node: ^6.0.3
     js-base64: 3.7.2
@@ -23212,8 +23212,7 @@ __metadata:
     qs: 6.11.2
     readable-stream: ^4.5.2
     url-join: 4.0.1
-    web-streams-polyfill: ^4.0.0
-  checksum: 80f87d1bd831c0115936a9d9cd1a364bde184ad96d461396acb346e2d3601ef084b6736a1344553f6e05713b7e117a8c295ff508111fca9f7b6c2a16e722e035
+  checksum: 423426458f65947259bba6616d05b456f08163ee1d07e1e7d573fec2a1ba5eac737eb20d2769149b83bdb16f37ae9a7de77348016d49a1a5db47862e79ff29d4
   languageName: node
   linkType: hard
 
@@ -27307,6 +27306,7 @@ __metadata:
     "@zilliz/milvus2-sdk-node": ^2.3.5
     axios: ^0.26.0
     chromadb: ^1.5.3
+    cohere-ai: ^7.14.0
     convex: ^1.3.1
     date-fns: ^3.3.1
     dotenv: ^16.0.3

From a7dd2a5adbfc58214a28887fc1ea63f6b6e667e8 Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Sun, 13 Oct 2024 16:59:26 -0700
Subject: [PATCH 306/344] chore(cohere): Release 0.3.1 (#6983)

---
 libs/langchain-cohere/package.json | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/libs/langchain-cohere/package.json b/libs/langchain-cohere/package.json
index 9fd44dbe24c9..2f9eedec14c7 100644
--- a/libs/langchain-cohere/package.json
+++ b/libs/langchain-cohere/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/cohere",
-  "version": "0.3.0",
+  "version": "0.3.1",
   "description": "Cohere integration for LangChain.js",
   "type": "module",
   "engines": {

From f2ac4f0f928a57876770f5993f5239838a6b6875 Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Wed, 16 Oct 2024 17:00:56 -0700
Subject: [PATCH 307/344] fix(anthropic): Pass back full Anthropic content for
 stream events (#6997)

---
 libs/langchain-anthropic/src/chat_models.ts   | 16 +++--
 .../src/tests/chat_models-tools.int.test.ts   | 68 +++++++++++++++++++
 2 files changed, 79 insertions(+), 5 deletions(-)

diff --git a/libs/langchain-anthropic/src/chat_models.ts b/libs/langchain-anthropic/src/chat_models.ts
index 294b84c26f88..9361730b94fc 100644
--- a/libs/langchain-anthropic/src/chat_models.ts
+++ b/libs/langchain-anthropic/src/chat_models.ts
@@ -818,7 +818,7 @@ export class ChatAnthropicMessages<
 
       // Extract the text content token for text field and runManager.
       const token = extractToken(chunk);
-      yield new ChatGenerationChunk({
+      const generationChunk = new ChatGenerationChunk({
         message: new AIMessageChunk({
           // Just yield chunk as it is and tool_use will be concat by BaseChatModel._generateUncached().
           content: chunk.content,
@@ -830,10 +830,16 @@ export class ChatAnthropicMessages<
         }),
         text: token ?? "",
       });
-
-      if (token) {
-        await runManager?.handleLLMNewToken(token);
-      }
+      yield generationChunk;
+
+      await runManager?.handleLLMNewToken(
+        token ?? "",
+        undefined,
+        undefined,
+        undefined,
+        undefined,
+        { chunk: generationChunk }
+      );
     }
   }
 
diff --git a/libs/langchain-anthropic/src/tests/chat_models-tools.int.test.ts b/libs/langchain-anthropic/src/tests/chat_models-tools.int.test.ts
index 645f9304b07e..880cd6a21479 100644
--- a/libs/langchain-anthropic/src/tests/chat_models-tools.int.test.ts
+++ b/libs/langchain-anthropic/src/tests/chat_models-tools.int.test.ts
@@ -11,6 +11,7 @@ import { StructuredTool, tool } from "@langchain/core/tools";
 import { concat } from "@langchain/core/utils/stream";
 import { z } from "zod";
 import { zodToJsonSchema } from "zod-to-json-schema";
+import { RunnableLambda } from "@langchain/core/runnables";
 import { ChatAnthropic } from "../chat_models.js";
 import { AnthropicToolResponse } from "../types.js";
 
@@ -202,6 +203,73 @@ test("Can bind & stream AnthropicTools", async () => {
   expect(args.location).toBeTruthy();
 });
 
+test("stream events with no tool calls has string message content", async () => {
+  const wrapper = RunnableLambda.from(async (_, config) => {
+    const res = await model.invoke(
+      "What is the weather in London today?",
+      config
+    );
+    return res;
+  });
+  const eventStream = await wrapper.streamEvents(
+    "What is the weather in London today?",
+    {
+      version: "v2",
+    }
+  );
+
+  const chatModelStreamEvents = [];
+  for await (const event of eventStream) {
+    if (event.event === "on_chat_model_stream") {
+      chatModelStreamEvents.push(event);
+    }
+  }
+  expect(chatModelStreamEvents.length).toBeGreaterThan(0);
+  expect(
+    chatModelStreamEvents.every(
+      (event) => typeof event.data.chunk.content === "string"
+    )
+  ).toBe(true);
+});
+
+test("stream events with tool calls has raw message content", async () => {
+  const modelWithTools = model.bind({
+    tools: [anthropicTool],
+    tool_choice: {
+      type: "tool",
+      name: "get_weather",
+    },
+  });
+
+  const wrapper = RunnableLambda.from(async (_, config) => {
+    const res = await modelWithTools.invoke(
+      "What is the weather in London today?",
+      config
+    );
+    return res;
+  });
+  const eventStream = await wrapper.streamEvents(
+    "What is the weather in London today?",
+    {
+      version: "v2",
+    }
+  );
+
+  const chatModelStreamEvents = [];
+  for await (const event of eventStream) {
+    if (event.event === "on_chat_model_stream") {
+      console.log(event);
+      chatModelStreamEvents.push(event);
+    }
+  }
+  expect(chatModelStreamEvents.length).toBeGreaterThan(0);
+  expect(
+    chatModelStreamEvents.every((event) =>
+      Array.isArray(event.data.chunk.content)
+    )
+  ).toBe(true);
+});
+
 test("withStructuredOutput with zod schema", async () => {
   const modelWithTools = model.withStructuredOutput<{ location: string }>(
     zodSchema,

From 13ce377b7bc1eb8f7d231ca892cf38fbf5dcaabd Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Wed, 16 Oct 2024 17:57:36 -0700
Subject: [PATCH 308/344] chore(anthropic): Release 0.3.4 (#6998)

---
 libs/langchain-anthropic/package.json | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/libs/langchain-anthropic/package.json b/libs/langchain-anthropic/package.json
index c5fd37be80d8..d838364630c6 100644
--- a/libs/langchain-anthropic/package.json
+++ b/libs/langchain-anthropic/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/anthropic",
-  "version": "0.3.3",
+  "version": "0.3.4",
   "description": "Anthropic integrations for LangChain.js",
   "type": "module",
   "engines": {

From 2fe3ca84d5d1d22f1f607bee2b7d0dcc54b1d8a1 Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Wed, 16 Oct 2024 17:59:43 -0700
Subject: [PATCH 309/344] feat(docs,core): Adds error reference pages and
 populate codes on errors in core (#6944)

---
 docs/core_docs/.gitignore                     |  32 +-
 .../docs/additional_resources/tutorials.mdx   |   4 +-
 .../errors/INVALID_PROMPT_INPUT.mdx           |  14 +
 .../errors/INVALID_TOOL_RESULTS.ipynb         | 448 ++++++++++++++++++
 .../errors/MESSAGE_COERCION_FAILURE.mdx       |  33 ++
 .../errors/MODEL_AUTHENTICATION.mdx           |  20 +
 .../errors/MODEL_NOT_FOUND.mdx                |  10 +
 .../errors/MODEL_RATE_LIMIT.mdx               |  14 +
 .../errors/OUTPUT_PARSING_FAILURE.mdx         |  36 ++
 .../docs/troubleshooting/errors/index.mdx     |  12 +
 docs/core_docs/docusaurus.config.js           |   6 +-
 docs/core_docs/vercel.json                    |  16 +
 langchain-core/src/errors/index.ts            |  20 +
 langchain-core/src/messages/utils.ts          |  17 +-
 langchain-core/src/output_parsers/base.ts     |   3 +
 langchain-core/src/prompts/chat.ts            |  11 +-
 langchain-core/src/prompts/template.ts        |  10 +-
 langchain-core/src/prompts/tests/chat.test.ts |  17 +-
 .../src/runnables/tests/runnable.test.ts      |  12 +-
 19 files changed, 699 insertions(+), 36 deletions(-)
 create mode 100644 docs/core_docs/docs/troubleshooting/errors/INVALID_PROMPT_INPUT.mdx
 create mode 100644 docs/core_docs/docs/troubleshooting/errors/INVALID_TOOL_RESULTS.ipynb
 create mode 100644 docs/core_docs/docs/troubleshooting/errors/MESSAGE_COERCION_FAILURE.mdx
 create mode 100644 docs/core_docs/docs/troubleshooting/errors/MODEL_AUTHENTICATION.mdx
 create mode 100644 docs/core_docs/docs/troubleshooting/errors/MODEL_NOT_FOUND.mdx
 create mode 100644 docs/core_docs/docs/troubleshooting/errors/MODEL_RATE_LIMIT.mdx
 create mode 100644 docs/core_docs/docs/troubleshooting/errors/OUTPUT_PARSING_FAILURE.mdx
 create mode 100644 docs/core_docs/docs/troubleshooting/errors/index.mdx
 create mode 100644 langchain-core/src/errors/index.ts

diff --git a/docs/core_docs/.gitignore b/docs/core_docs/.gitignore
index 4ddd437b5101..e28b16431fd6 100644
--- a/docs/core_docs/.gitignore
+++ b/docs/core_docs/.gitignore
@@ -222,6 +222,8 @@ docs/versions/migrating_memory/conversation_buffer_window_memory.md
 docs/versions/migrating_memory/conversation_buffer_window_memory.mdx
 docs/versions/migrating_memory/chat_history.md
 docs/versions/migrating_memory/chat_history.mdx
+docs/troubleshooting/errors/INVALID_TOOL_RESULTS.md
+docs/troubleshooting/errors/INVALID_TOOL_RESULTS.mdx
 docs/integrations/vectorstores/weaviate.md
 docs/integrations/vectorstores/weaviate.mdx
 docs/integrations/vectorstores/upstash.md
@@ -260,6 +262,10 @@ docs/integrations/toolkits/sql.md
 docs/integrations/toolkits/sql.mdx
 docs/integrations/toolkits/openapi.md
 docs/integrations/toolkits/openapi.mdx
+docs/integrations/stores/in_memory.md
+docs/integrations/stores/in_memory.mdx
+docs/integrations/stores/file_system.md
+docs/integrations/stores/file_system.mdx
 docs/integrations/text_embedding/togetherai.md
 docs/integrations/text_embedding/togetherai.mdx
 docs/integrations/text_embedding/openai.md
@@ -282,10 +288,6 @@ docs/integrations/text_embedding/bedrock.md
 docs/integrations/text_embedding/bedrock.mdx
 docs/integrations/text_embedding/azure_openai.md
 docs/integrations/text_embedding/azure_openai.mdx
-docs/integrations/stores/in_memory.md
-docs/integrations/stores/in_memory.mdx
-docs/integrations/stores/file_system.md
-docs/integrations/stores/file_system.mdx
 docs/integrations/retrievers/tavily.md
 docs/integrations/retrievers/tavily.mdx
 docs/integrations/retrievers/kendra-retriever.md
@@ -364,6 +366,16 @@ docs/integrations/retrievers/self_query/hnswlib.md
 docs/integrations/retrievers/self_query/hnswlib.mdx
 docs/integrations/retrievers/self_query/chroma.md
 docs/integrations/retrievers/self_query/chroma.mdx
+docs/integrations/document_loaders/file_loaders/unstructured.md
+docs/integrations/document_loaders/file_loaders/unstructured.mdx
+docs/integrations/document_loaders/file_loaders/text.md
+docs/integrations/document_loaders/file_loaders/text.mdx
+docs/integrations/document_loaders/file_loaders/pdf.md
+docs/integrations/document_loaders/file_loaders/pdf.mdx
+docs/integrations/document_loaders/file_loaders/directory.md
+docs/integrations/document_loaders/file_loaders/directory.mdx
+docs/integrations/document_loaders/file_loaders/csv.md
+docs/integrations/document_loaders/file_loaders/csv.mdx
 docs/integrations/document_loaders/web_loaders/web_puppeteer.md
 docs/integrations/document_loaders/web_loaders/web_puppeteer.mdx
 docs/integrations/document_loaders/web_loaders/web_cheerio.md
@@ -375,14 +387,4 @@ docs/integrations/document_loaders/web_loaders/pdf.mdx
 docs/integrations/document_loaders/web_loaders/langsmith.md
 docs/integrations/document_loaders/web_loaders/langsmith.mdx
 docs/integrations/document_loaders/web_loaders/firecrawl.md
-docs/integrations/document_loaders/web_loaders/firecrawl.mdx
-docs/integrations/document_loaders/file_loaders/unstructured.md
-docs/integrations/document_loaders/file_loaders/unstructured.mdx
-docs/integrations/document_loaders/file_loaders/text.md
-docs/integrations/document_loaders/file_loaders/text.mdx
-docs/integrations/document_loaders/file_loaders/pdf.md
-docs/integrations/document_loaders/file_loaders/pdf.mdx
-docs/integrations/document_loaders/file_loaders/directory.md
-docs/integrations/document_loaders/file_loaders/directory.mdx
-docs/integrations/document_loaders/file_loaders/csv.md
-docs/integrations/document_loaders/file_loaders/csv.mdx
\ No newline at end of file
+docs/integrations/document_loaders/web_loaders/firecrawl.mdx
\ No newline at end of file
diff --git a/docs/core_docs/docs/additional_resources/tutorials.mdx b/docs/core_docs/docs/additional_resources/tutorials.mdx
index 9fbae9512796..f24629ad8fdc 100644
--- a/docs/core_docs/docs/additional_resources/tutorials.mdx
+++ b/docs/core_docs/docs/additional_resources/tutorials.mdx
@@ -1,6 +1,6 @@
-# Tutorials
+# External guides
 
-Below are links to tutorials and courses on LangChain.js. For written guides on common use cases for LangChain.js, check out the [tutorials](/docs/tutorials/) and [how to](/docs/how_to/) sections.
+Below are links to external tutorials and courses on LangChain.js. For other written guides on common use cases for LangChain.js, check out the [tutorials](/docs/tutorials/) and [how to](/docs/how_to/) sections.
 
 ---
 
diff --git a/docs/core_docs/docs/troubleshooting/errors/INVALID_PROMPT_INPUT.mdx b/docs/core_docs/docs/troubleshooting/errors/INVALID_PROMPT_INPUT.mdx
new file mode 100644
index 000000000000..c2b27cb31187
--- /dev/null
+++ b/docs/core_docs/docs/troubleshooting/errors/INVALID_PROMPT_INPUT.mdx
@@ -0,0 +1,14 @@
+# INVALID_PROMPT_INPUT
+
+A [prompt template](/docs/concepts#prompt-templates) received missing or invalid input variables.
+
+## Troubleshooting
+
+The following may help resolve this error:
+
+- Double-check your prompt template to ensure that it is correct.
+  - If you are using the default format and you are using curly braces `{` anywhere in your template, they should be double escaped like this: `{{`.
+- If you are using a [`MessagesPlaceholder`](/docs/concepts/#messagesplaceholder), make sure that you are passing in an array of messages or message-like objects.
+  - If you are using shorthand tuples to declare your prompt template, make sure that the variable name is wrapped in curly braces (`["placeholder", "{messages}"]`).
+- Try viewing the inputs into your prompt template using [LangSmith](https://docs.smith.langchain.com/) or log statements to confirm they appear as expected.
+- If you are pulling a prompt from the [LangChain Prompt Hub](https://smith.langchain.com/prompts), try pulling and logging it or running it in isolation with a sample input to confirm that it is what you expect.
diff --git a/docs/core_docs/docs/troubleshooting/errors/INVALID_TOOL_RESULTS.ipynb b/docs/core_docs/docs/troubleshooting/errors/INVALID_TOOL_RESULTS.ipynb
new file mode 100644
index 000000000000..4047de8f4de9
--- /dev/null
+++ b/docs/core_docs/docs/troubleshooting/errors/INVALID_TOOL_RESULTS.ipynb
@@ -0,0 +1,448 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# INVALID_TOOL_RESULTS\n",
+    "\n",
+    "You are passing too many, too few, or mismatched [`ToolMessages`](https://api.js.langchain.com/classes/_langchain_core.messages_tool.ToolMessage.html) to a model.\n",
+    "\n",
+    "When [using a model to call tools](/docs/concepts#functiontool-calling), the [`AIMessage`](https://api.js.langchain.com/classes/_langchain_core.messages.AIMessage.html)\n",
+    "the model responds with will contain a `tool_calls` array. To continue the flow, the next messages you pass back to the model must\n",
+    "be exactly one `ToolMessage` for each item in that array containing the result of that tool call. Each `ToolMessage` must have a `tool_call_id` field\n",
+    "that matches one of the `tool_calls` on the `AIMessage`.\n",
+    "\n",
+    "For example, given the following response from a model:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "AIMessage {\n",
+      "  \"id\": \"chatcmpl-AIgT1xUd6lkWAutThiiBsqjq7Ykj1\",\n",
+      "  \"content\": \"\",\n",
+      "  \"additional_kwargs\": {\n",
+      "    \"tool_calls\": [\n",
+      "      {\n",
+      "        \"id\": \"call_BknYpnY7xiARM17TPYqL7luj\",\n",
+      "        \"type\": \"function\",\n",
+      "        \"function\": \"[Object]\"\n",
+      "      },\n",
+      "      {\n",
+      "        \"id\": \"call_EHf8MIcTdsLCZcFVlcH4hxJw\",\n",
+      "        \"type\": \"function\",\n",
+      "        \"function\": \"[Object]\"\n",
+      "      }\n",
+      "    ]\n",
+      "  },\n",
+      "  \"response_metadata\": {\n",
+      "    \"tokenUsage\": {\n",
+      "      \"promptTokens\": 42,\n",
+      "      \"completionTokens\": 37,\n",
+      "      \"totalTokens\": 79\n",
+      "    },\n",
+      "    \"finish_reason\": \"tool_calls\",\n",
+      "    \"usage\": {\n",
+      "      \"prompt_tokens\": 42,\n",
+      "      \"completion_tokens\": 37,\n",
+      "      \"total_tokens\": 79,\n",
+      "      \"prompt_tokens_details\": {\n",
+      "        \"cached_tokens\": 0\n",
+      "      },\n",
+      "      \"completion_tokens_details\": {\n",
+      "        \"reasoning_tokens\": 0\n",
+      "      }\n",
+      "    },\n",
+      "    \"system_fingerprint\": \"fp_e2bde53e6e\"\n",
+      "  },\n",
+      "  \"tool_calls\": [\n",
+      "    {\n",
+      "      \"name\": \"foo\",\n",
+      "      \"args\": {},\n",
+      "      \"type\": \"tool_call\",\n",
+      "      \"id\": \"call_BknYpnY7xiARM17TPYqL7luj\"\n",
+      "    },\n",
+      "    {\n",
+      "      \"name\": \"foo\",\n",
+      "      \"args\": {},\n",
+      "      \"type\": \"tool_call\",\n",
+      "      \"id\": \"call_EHf8MIcTdsLCZcFVlcH4hxJw\"\n",
+      "    }\n",
+      "  ],\n",
+      "  \"invalid_tool_calls\": [],\n",
+      "  \"usage_metadata\": {\n",
+      "    \"output_tokens\": 37,\n",
+      "    \"input_tokens\": 42,\n",
+      "    \"total_tokens\": 79,\n",
+      "    \"input_token_details\": {\n",
+      "      \"cache_read\": 0\n",
+      "    },\n",
+      "    \"output_token_details\": {\n",
+      "      \"reasoning\": 0\n",
+      "    }\n",
+      "  }\n",
+      "}\n"
+     ]
+    }
+   ],
+   "source": [
+    "import { z } from \"zod\";\n",
+    "import { tool } from \"@langchain/core/tools\";\n",
+    "import { ChatOpenAI } from \"@langchain/openai\";\n",
+    "import { BaseMessageLike } from \"@langchain/core/messages\";\n",
+    "\n",
+    "const model = new ChatOpenAI({\n",
+    "  model: \"gpt-4o-mini\",\n",
+    "});\n",
+    "\n",
+    "const dummyTool = tool(\n",
+    "  async () => {\n",
+    "    return \"action complete!\";\n",
+    "  },\n",
+    "  {\n",
+    "    name: \"foo\",\n",
+    "    schema: z.object({}),\n",
+    "  }\n",
+    ");\n",
+    "\n",
+    "const modelWithTools = model.bindTools([dummyTool]);\n",
+    "\n",
+    "const chatHistory: BaseMessageLike[] = [\n",
+    "  {\n",
+    "    role: \"user\",\n",
+    "    content: `Call tool \"foo\" twice with no arguments`,\n",
+    "  },\n",
+    "];\n",
+    "\n",
+    "const responseMessage = await modelWithTools.invoke(chatHistory);\n",
+    "\n",
+    "console.log(responseMessage);"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Calling the model with only one tool response would result in an error:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "BadRequestError: 400 An assistant message with 'tool_calls' must be followed by tool messages responding to each 'tool_call_id'. The following tool_call_ids did not have response messages: call_EHf8MIcTdsLCZcFVlcH4hxJw\n",
+      "    at APIError.generate (/Users/jacoblee/langchain/langchainjs/libs/langchain-openai/node_modules/openai/error.js:45:20)\n",
+      "    at OpenAI.makeStatusError (/Users/jacoblee/langchain/langchainjs/libs/langchain-openai/node_modules/openai/core.js:291:33)\n",
+      "    at OpenAI.makeRequest (/Users/jacoblee/langchain/langchainjs/libs/langchain-openai/node_modules/openai/core.js:335:30)\n",
+      "    at process.processTicksAndRejections (node:internal/process/task_queues:95:5)\n",
+      "    at async /Users/jacoblee/langchain/langchainjs/libs/langchain-openai/dist/chat_models.cjs:1441:29\n",
+      "    at async RetryOperation._fn (/Users/jacoblee/langchain/langchainjs/node_modules/p-retry/index.js:50:12) {\n",
+      "  status: 400,\n",
+      "  headers: {\n",
+      "    'access-control-expose-headers': 'X-Request-ID',\n",
+      "    'alt-svc': 'h3=\":443\"; ma=86400',\n",
+      "    'cf-cache-status': 'DYNAMIC',\n",
+      "    'cf-ray': '8d31d4d95e2a0c96-EWR',\n",
+      "    connection: 'keep-alive',\n",
+      "    'content-length': '315',\n",
+      "    'content-type': 'application/json',\n",
+      "    date: 'Tue, 15 Oct 2024 18:21:53 GMT',\n",
+      "    'openai-organization': 'langchain',\n",
+      "    'openai-processing-ms': '16',\n",
+      "    'openai-version': '2020-10-01',\n",
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+      "    'x-content-type-options': 'nosniff',\n",
+      "    'x-ratelimit-limit-requests': '30000',\n",
+      "    'x-ratelimit-limit-tokens': '150000000',\n",
+      "    'x-ratelimit-remaining-requests': '29999',\n",
+      "    'x-ratelimit-remaining-tokens': '149999967',\n",
+      "    'x-ratelimit-reset-requests': '2ms',\n",
+      "    'x-ratelimit-reset-tokens': '0s',\n",
+      "    'x-request-id': 'req_f810058e7f047fafcb713575c4419161'\n",
+      "  },\n",
+      "  request_id: 'req_f810058e7f047fafcb713575c4419161',\n",
+      "  error: {\n",
+      "    message: \"An assistant message with 'tool_calls' must be followed by tool messages responding to each 'tool_call_id'. The following tool_call_ids did not have response messages: call_EHf8MIcTdsLCZcFVlcH4hxJw\",\n",
+      "    type: 'invalid_request_error',\n",
+      "    param: 'messages',\n",
+      "    code: null\n",
+      "  },\n",
+      "  code: null,\n",
+      "  param: 'messages',\n",
+      "  type: 'invalid_request_error',\n",
+      "  attemptNumber: 1,\n",
+      "  retriesLeft: 6\n",
+      "}\n"
+     ]
+    }
+   ],
+   "source": [
+    "const toolResponse1 = await dummyTool.invoke(responseMessage.tool_calls![0]);\n",
+    "\n",
+    "chatHistory.push(responseMessage);\n",
+    "chatHistory.push(toolResponse1);\n",
+    "\n",
+    "await modelWithTools.invoke(chatHistory);"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "If we add a second response, the call will succeed as expected because we now have one tool response per tool call:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "AIMessage {\n",
+      "  \"id\": \"chatcmpl-AIgTPDBm1epnnLHx0tPFTgpsf8Ay6\",\n",
+      "  \"content\": \"The tool \\\"foo\\\" was called twice, and both times returned the result: \\\"action complete!\\\".\",\n",
+      "  \"additional_kwargs\": {},\n",
+      "  \"response_metadata\": {\n",
+      "    \"tokenUsage\": {\n",
+      "      \"promptTokens\": 98,\n",
+      "      \"completionTokens\": 21,\n",
+      "      \"totalTokens\": 119\n",
+      "    },\n",
+      "    \"finish_reason\": \"stop\",\n",
+      "    \"usage\": {\n",
+      "      \"prompt_tokens\": 98,\n",
+      "      \"completion_tokens\": 21,\n",
+      "      \"total_tokens\": 119,\n",
+      "      \"prompt_tokens_details\": {\n",
+      "        \"cached_tokens\": 0\n",
+      "      },\n",
+      "      \"completion_tokens_details\": {\n",
+      "        \"reasoning_tokens\": 0\n",
+      "      }\n",
+      "    },\n",
+      "    \"system_fingerprint\": \"fp_e2bde53e6e\"\n",
+      "  },\n",
+      "  \"tool_calls\": [],\n",
+      "  \"invalid_tool_calls\": [],\n",
+      "  \"usage_metadata\": {\n",
+      "    \"output_tokens\": 21,\n",
+      "    \"input_tokens\": 98,\n",
+      "    \"total_tokens\": 119,\n",
+      "    \"input_token_details\": {\n",
+      "      \"cache_read\": 0\n",
+      "    },\n",
+      "    \"output_token_details\": {\n",
+      "      \"reasoning\": 0\n",
+      "    }\n",
+      "  }\n",
+      "}\n"
+     ]
+    }
+   ],
+   "source": [
+    "const toolResponse2 = await dummyTool.invoke(responseMessage.tool_calls![1]);\n",
+    "\n",
+    "chatHistory.push(toolResponse2);\n",
+    "\n",
+    "await modelWithTools.invoke(chatHistory);"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "But if we add a duplicate, extra tool response, the call will fail again:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "BadRequestError: 400 Invalid parameter: messages with role 'tool' must be a response to a preceeding message with 'tool_calls'.\n",
+      "    at APIError.generate (/Users/jacoblee/langchain/langchainjs/libs/langchain-openai/node_modules/openai/error.js:45:20)\n",
+      "    at OpenAI.makeStatusError (/Users/jacoblee/langchain/langchainjs/libs/langchain-openai/node_modules/openai/core.js:291:33)\n",
+      "    at OpenAI.makeRequest (/Users/jacoblee/langchain/langchainjs/libs/langchain-openai/node_modules/openai/core.js:335:30)\n",
+      "    at process.processTicksAndRejections (node:internal/process/task_queues:95:5)\n",
+      "    at async /Users/jacoblee/langchain/langchainjs/libs/langchain-openai/dist/chat_models.cjs:1441:29\n",
+      "    at async RetryOperation._fn (/Users/jacoblee/langchain/langchainjs/node_modules/p-retry/index.js:50:12) {\n",
+      "  status: 400,\n",
+      "  headers: {\n",
+      "    'access-control-expose-headers': 'X-Request-ID',\n",
+      "    'alt-svc': 'h3=\":443\"; ma=86400',\n",
+      "    'cf-cache-status': 'DYNAMIC',\n",
+      "    'cf-ray': '8d31d57dff5e0f3b-EWR',\n",
+      "    connection: 'keep-alive',\n",
+      "    'content-length': '233',\n",
+      "    'content-type': 'application/json',\n",
+      "    date: 'Tue, 15 Oct 2024 18:22:19 GMT',\n",
+      "    'openai-organization': 'langchain',\n",
+      "    'openai-processing-ms': '36',\n",
+      "    'openai-version': '2020-10-01',\n",
+      "    server: 'cloudflare',\n",
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+      "    'strict-transport-security': 'max-age=31536000; includeSubDomains; preload',\n",
+      "    'x-content-type-options': 'nosniff',\n",
+      "    'x-ratelimit-limit-requests': '30000',\n",
+      "    'x-ratelimit-limit-tokens': '150000000',\n",
+      "    'x-ratelimit-remaining-requests': '29999',\n",
+      "    'x-ratelimit-remaining-tokens': '149999956',\n",
+      "    'x-ratelimit-reset-requests': '2ms',\n",
+      "    'x-ratelimit-reset-tokens': '0s',\n",
+      "    'x-request-id': 'req_aebfebbb9af2feaf2e9683948e431676'\n",
+      "  },\n",
+      "  request_id: 'req_aebfebbb9af2feaf2e9683948e431676',\n",
+      "  error: {\n",
+      "    message: \"Invalid parameter: messages with role 'tool' must be a response to a preceeding message with 'tool_calls'.\",\n",
+      "    type: 'invalid_request_error',\n",
+      "    param: 'messages.[4].role',\n",
+      "    code: null\n",
+      "  },\n",
+      "  code: null,\n",
+      "  param: 'messages.[4].role',\n",
+      "  type: 'invalid_request_error',\n",
+      "  attemptNumber: 1,\n",
+      "  retriesLeft: 6\n",
+      "}\n"
+     ]
+    }
+   ],
+   "source": [
+    "const duplicateToolResponse2 = await dummyTool.invoke(responseMessage.tool_calls![1]);\n",
+    "\n",
+    "chatHistory.push(duplicateToolResponse2);\n",
+    "\n",
+    "await modelWithTools.invoke(chatHistory);"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "You should additionally not pass `ToolMessages` back to to a model if they are not preceded by an `AIMessage` with tool calls. For example, this will fail:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "BadRequestError: 400 Invalid parameter: messages with role 'tool' must be a response to a preceeding message with 'tool_calls'.\n",
+      "    at APIError.generate (/Users/jacoblee/langchain/langchainjs/libs/langchain-openai/node_modules/openai/error.js:45:20)\n",
+      "    at OpenAI.makeStatusError (/Users/jacoblee/langchain/langchainjs/libs/langchain-openai/node_modules/openai/core.js:291:33)\n",
+      "    at OpenAI.makeRequest (/Users/jacoblee/langchain/langchainjs/libs/langchain-openai/node_modules/openai/core.js:335:30)\n",
+      "    at process.processTicksAndRejections (node:internal/process/task_queues:95:5)\n",
+      "    at async /Users/jacoblee/langchain/langchainjs/libs/langchain-openai/dist/chat_models.cjs:1441:29\n",
+      "    at async RetryOperation._fn (/Users/jacoblee/langchain/langchainjs/node_modules/p-retry/index.js:50:12) {\n",
+      "  status: 400,\n",
+      "  headers: {\n",
+      "    'access-control-expose-headers': 'X-Request-ID',\n",
+      "    'alt-svc': 'h3=\":443\"; ma=86400',\n",
+      "    'cf-cache-status': 'DYNAMIC',\n",
+      "    'cf-ray': '8d31d5da7fba19aa-EWR',\n",
+      "    connection: 'keep-alive',\n",
+      "    'content-length': '233',\n",
+      "    'content-type': 'application/json',\n",
+      "    date: 'Tue, 15 Oct 2024 18:22:34 GMT',\n",
+      "    'openai-organization': 'langchain',\n",
+      "    'openai-processing-ms': '25',\n",
+      "    'openai-version': '2020-10-01',\n",
+      "    server: 'cloudflare',\n",
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+      "    'x-ratelimit-limit-requests': '30000',\n",
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+      "    'x-ratelimit-remaining-tokens': '149999978',\n",
+      "    'x-ratelimit-reset-requests': '2ms',\n",
+      "    'x-ratelimit-reset-tokens': '0s',\n",
+      "    'x-request-id': 'req_59339f8163ef5bd3f0308a212611dfea'\n",
+      "  },\n",
+      "  request_id: 'req_59339f8163ef5bd3f0308a212611dfea',\n",
+      "  error: {\n",
+      "    message: \"Invalid parameter: messages with role 'tool' must be a response to a preceeding message with 'tool_calls'.\",\n",
+      "    type: 'invalid_request_error',\n",
+      "    param: 'messages.[0].role',\n",
+      "    code: null\n",
+      "  },\n",
+      "  code: null,\n",
+      "  param: 'messages.[0].role',\n",
+      "  type: 'invalid_request_error',\n",
+      "  attemptNumber: 1,\n",
+      "  retriesLeft: 6\n",
+      "}\n"
+     ]
+    }
+   ],
+   "source": [
+    "await modelWithTools.invoke([{\n",
+    "  role: \"tool\",\n",
+    "  content: \"action completed!\",\n",
+    "  tool_call_id: \"dummy\",\n",
+    "}])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "See [this guide](/docs/how_to/tool_results_pass_to_model/) for more details on tool calling.\n",
+    "\n",
+    "## Troubleshooting\n",
+    "\n",
+    "The following may help resolve this error:\n",
+    "\n",
+    "- If you are using a custom executor rather than a prebuilt one like LangGraph's [`ToolNode`](https://langchain-ai.github.io/langgraphjs/reference/classes/langgraph_prebuilt.ToolNode.html)\n",
+    "  or the legacy LangChain [AgentExecutor](/docs/how_to/agent_executor), verify that you are invoking and returning the result for one tool per tool call.\n",
+    "- If you are using [few-shot tool call examples](/docs/how_to/tools_few_shot) with messages that you manually create, and you want to simulate a failure,\n",
+    "  you still need to pass back a `ToolMessage` whose content indicates that failure.\n"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "TypeScript",
+   "language": "typescript",
+   "name": "tslab"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "mode": "typescript",
+    "name": "javascript",
+    "typescript": true
+   },
+   "file_extension": ".ts",
+   "mimetype": "text/typescript",
+   "name": "typescript",
+   "version": "3.7.2"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/docs/core_docs/docs/troubleshooting/errors/MESSAGE_COERCION_FAILURE.mdx b/docs/core_docs/docs/troubleshooting/errors/MESSAGE_COERCION_FAILURE.mdx
new file mode 100644
index 000000000000..8ee5544bc201
--- /dev/null
+++ b/docs/core_docs/docs/troubleshooting/errors/MESSAGE_COERCION_FAILURE.mdx
@@ -0,0 +1,33 @@
+# MESSAGE_COERCION_FAILURE
+
+Several modules in LangChain take [`MessageLike`](https://api.js.langchain.com/types/_langchain_core.messages.BaseMessageLike.html)
+objects in place of formal [`BaseMessage`](/docs/concepts#message-types) classes. These include OpenAI style message objects (`{ role: "user", content: "Hello world!" }`),
+tuples, and plain strings (which are converted to [`HumanMessages`](/docs/concepts#humanmessage)).
+
+If one of these modules receives a value outside of one of these formats, you will receive an error like the following:
+
+```ts
+const badlyFormattedMessageObject = {
+  role: "foo",
+  randomNonContentValue: "bar",
+};
+
+await model.invoke([badlyFormattedMessageObject]);
+```
+
+```
+Error: Unable to coerce message from array: only human, AI, system, or tool message coercion is currently supported.
+
+Received: {
+  "role": "foo",
+  "randomNonContentValue": "bar",
+}
+```
+
+## Troubleshooting
+
+The following may help resolve this error:
+
+- Ensure that all inputs to chat models are an array of LangChain message classes or a supported message-like.
+  - Check that there is no stringification or other unexpected transformation occuring.
+- Check the error's stack trace and add log or debugger statements.
diff --git a/docs/core_docs/docs/troubleshooting/errors/MODEL_AUTHENTICATION.mdx b/docs/core_docs/docs/troubleshooting/errors/MODEL_AUTHENTICATION.mdx
new file mode 100644
index 000000000000..ca22f8a03a2b
--- /dev/null
+++ b/docs/core_docs/docs/troubleshooting/errors/MODEL_AUTHENTICATION.mdx
@@ -0,0 +1,20 @@
+# MODEL_AUTHENTICATION
+
+Your model provider is denying you access to their service.
+
+## Troubleshooting
+
+The following may help resolve this error:
+
+- Confirm that your API key or other credentials are correct.
+- If you are relying on an environment variable to authenticate, confirm that the variable name is correct and that it has a value set.
+  - Note that some environments, like Cloudflare Workers, do not support environment variables.
+  - For some models, you can try explicitly passing an `apiKey` parameter to rule out any environment variable issues like this:
+
+```ts
+const model = new ChatOpenAI({
+  apiKey: "YOUR_KEY_HERE",
+});
+```
+
+- If you are using a proxy or other custom endpoint, make sure that your custom provider does not expect an alternative authentication scheme.
diff --git a/docs/core_docs/docs/troubleshooting/errors/MODEL_NOT_FOUND.mdx b/docs/core_docs/docs/troubleshooting/errors/MODEL_NOT_FOUND.mdx
new file mode 100644
index 000000000000..32b8d6896a6a
--- /dev/null
+++ b/docs/core_docs/docs/troubleshooting/errors/MODEL_NOT_FOUND.mdx
@@ -0,0 +1,10 @@
+# MODEL_NOT_FOUND
+
+The model name you have specified is not acknowledged by your provider.
+
+## Troubleshooting
+
+The following may help resolve this error:
+
+- Double check the model string you are passing in.
+- If you are using a proxy or other alternative host with a model wrapper, confirm that the permitted model names are not restricted or altered.
diff --git a/docs/core_docs/docs/troubleshooting/errors/MODEL_RATE_LIMIT.mdx b/docs/core_docs/docs/troubleshooting/errors/MODEL_RATE_LIMIT.mdx
new file mode 100644
index 000000000000..78108c7c8077
--- /dev/null
+++ b/docs/core_docs/docs/troubleshooting/errors/MODEL_RATE_LIMIT.mdx
@@ -0,0 +1,14 @@
+# MODEL_RATE_LIMIT
+
+You have hit the maximum number of requests that a model provider allows over a given time period and are being temporarily blocked.
+Generally, this error is temporary and your limit will reset after a certain amount of time.
+
+## Troubleshooting
+
+The following may help resolve this error:
+
+- Contact your model provider and ask for a rate limit increase.
+- If many of your incoming requests are the same, utilize [model response caching](/docs/how_to/chat_model_caching/).
+- Spread requests across different providers if your application allows it.
+- Set a higher number of [max retries](https://api.js.langchain.com/interfaces/_langchain_core.language_models_base.BaseLanguageModelParams.html#maxRetries) when initializing your model.
+  LangChain will use an exponential backoff strategy for requests that fail in this way, so the retry may occur when your limits have reset.
diff --git a/docs/core_docs/docs/troubleshooting/errors/OUTPUT_PARSING_FAILURE.mdx b/docs/core_docs/docs/troubleshooting/errors/OUTPUT_PARSING_FAILURE.mdx
new file mode 100644
index 000000000000..f27147d080ee
--- /dev/null
+++ b/docs/core_docs/docs/troubleshooting/errors/OUTPUT_PARSING_FAILURE.mdx
@@ -0,0 +1,36 @@
+# OUTPUT_PARSING_FAILURE
+
+An [output parser](/docs/concepts#output-parsers) was unable to handle model output as expected.
+
+To illustrate this, let's say you have an output parser that expects a chat model to output JSON surrounded by a markdown code tag (triple backticks). Here would be an example of good input:
+
+````ts
+AIMessage {
+  content: "```\n{\"foo\": \"bar\"}\n```"
+}
+````
+
+Internally, our output parser might try to strip out the markdown fence and newlines and then run `JSON.parse()`.
+
+If instead the chat model generated an output with malformed JSON like this:
+
+````ts
+AIMessage {
+  content: "```\n{\"foo\":\n```"
+}
+````
+
+When our output parser attempts to parse this, the `JSON.parse()` call will fail.
+
+Note that some prebuilt constructs like [legacy LangChain agents](/docs/how_to/agent_executor) and chains may use output parsers internally,
+so you may see this error even if you're not visibly instantiating and using an output parser.
+
+## Troubleshooting
+
+The following may help resolve this error:
+
+- Consider using [tool calling or other structured output techniques](/docs/how_to/structured_output/) if possible without an output parser to reliably output parseable values.
+  - If you are using a prebuilt chain or agent, use [LangGraph](https://langchain-ai.github.io/langgraphjs/) to compose your logic explicitly instead.
+- Add more precise formatting instructions to your prompt. In the above example, adding `"You must always return valid JSON fenced by a markdown code block. Do not return any additional text."` to your input may help steer the model to returning the expected format.
+- If you are using a smaller or less capable model, try using a more capable one.
+- Add [LLM-powered retries](/docs/how_to/output_parser_fixing/).
diff --git a/docs/core_docs/docs/troubleshooting/errors/index.mdx b/docs/core_docs/docs/troubleshooting/errors/index.mdx
new file mode 100644
index 000000000000..2258714de1e1
--- /dev/null
+++ b/docs/core_docs/docs/troubleshooting/errors/index.mdx
@@ -0,0 +1,12 @@
+# Error codes
+
+This page contains guides around resolving common errors you may find while building with LangChain.
+Errors referenced below will have an `lc_error_code` property corresponding to one of the below codes when they are thrown in code.
+
+- [INVALID_PROMPT_INPUT](/docs/troubleshooting/errors/INVALID_PROMPT_INPUT)
+- [INVALID_TOOL_RESULTS](/docs/troubleshooting/errors/INVALID_TOOL_RESULTS)
+- [MESSAGE_COERCION_FAILURE](/docs/troubleshooting/errors/MESSAGE_COERCION_FAILURE)
+- [MODEL_AUTHENTICATION](/docs/troubleshooting/errors/MODEL_AUTHENTICATION)
+- [MODEL_NOT_FOUND](/docs/troubleshooting/errors/MODEL_NOT_FOUND)
+- [MODEL_RATE_LIMIT](/docs/troubleshooting/errors/MODEL_RATE_LIMIT)
+- [OUTPUT_PARSING_FAILURE](/docs/troubleshooting/errors/OUTPUT_PARSING_FAILURE)
diff --git a/docs/core_docs/docusaurus.config.js b/docs/core_docs/docusaurus.config.js
index 6f8472891917..2f718c9f818c 100644
--- a/docs/core_docs/docusaurus.config.js
+++ b/docs/core_docs/docusaurus.config.js
@@ -182,9 +182,13 @@ const config = {
                 to: "/docs/community",
                 label: "Community",
               },
+              {
+                to: "/docs/troubleshooting/errors",
+                label: "Error reference",
+              },
               {
                 to: "/docs/additional_resources/tutorials",
-                label: "Tutorials",
+                label: "External guides",
               },
               {
                 to: "/docs/contributing",
diff --git a/docs/core_docs/vercel.json b/docs/core_docs/vercel.json
index 6f35f9b8ec32..d573c16d6e7b 100644
--- a/docs/core_docs/vercel.json
+++ b/docs/core_docs/vercel.json
@@ -64,6 +64,22 @@
     {
       "source": "/docs/tutorials/agents(/?)",
       "destination": "https://langchain-ai.github.io/langgraphjs/tutorials/quickstart/"
+    },
+    {
+      "source": "/docs/troubleshooting/errors/GRAPH_RECURSION_LIMIT(/?)",
+      "destination": "https://langchain-ai.github.io/langgraphjs/troubleshooting/errors/GRAPH_RECURSION_LIMIT/"
+    },
+    {
+      "source": "/docs/troubleshooting/errors/INVALID_CONCURRENT_GRAPH_UPDATE(/?)",
+      "destination": "https://langchain-ai.github.io/langgraphjs/troubleshooting/errors/INVALID_CONCURRENT_GRAPH_UPDATE/"
+    },
+    {
+      "source": "/docs/troubleshooting/errors/INVALID_GRAPH_NODE_RETURN_VALUE(/?)",
+      "destination": "https://langchain-ai.github.io/langgraphjs/troubleshooting/errors/INVALID_GRAPH_NODE_RETURN_VALUE/"
+    },
+    {
+      "source": "/docs/troubleshooting/errors/MULTIPLE_SUBGRAPHS(/?)",
+      "destination": "https://langchain-ai.github.io/langgraphjs/troubleshooting/errors/MULTIPLE_SUBGRAPHS/"
     }
   ]
 }
diff --git a/langchain-core/src/errors/index.ts b/langchain-core/src/errors/index.ts
new file mode 100644
index 000000000000..469a562783f2
--- /dev/null
+++ b/langchain-core/src/errors/index.ts
@@ -0,0 +1,20 @@
+/* eslint-disable @typescript-eslint/no-explicit-any */
+/* eslint-disable no-param-reassign */
+
+export type LangChainErrorCodes =
+  | "INVALID_PROMPT_INPUT"
+  | "INVALID_TOOL_RESULTS"
+  | "MESSAGE_COERCION_FAILURE"
+  | "MODEL_AUTHENTICATION"
+  | "MODEL_NOT_FOUND"
+  | "MODEL_RATE_LIMIT"
+  | "OUTPUT_PARSING_FAILURE";
+
+export function addLangChainErrorFields(
+  error: any,
+  lc_error_code: LangChainErrorCodes
+) {
+  (error as any).lc_error_code = lc_error_code;
+  error.message = `${error.message}\n\nTroubleshooting URL: https://js.langchain.com/troubleshooting/errors/${lc_error_code}/\n`;
+  return error;
+}
diff --git a/langchain-core/src/messages/utils.ts b/langchain-core/src/messages/utils.ts
index 1f89248afb1a..ae32060afb58 100644
--- a/langchain-core/src/messages/utils.ts
+++ b/langchain-core/src/messages/utils.ts
@@ -1,3 +1,4 @@
+import { addLangChainErrorFields } from "../errors/index.js";
 import { SerializedConstructor } from "../load/serializable.js";
 import { _isToolCall } from "../tools/utils.js";
 import { AIMessage, AIMessageChunk, AIMessageChunkFields } from "./ai.js";
@@ -114,13 +115,17 @@ function _constructMessageFromParams(
       name: rest.name,
     });
   } else {
-    throw new Error(
-      `Unable to coerce message from array: only human, AI, or system message coercion is currently supported.\n\nReceived: ${JSON.stringify(
-        params,
-        null,
-        2
-      )}`
+    const error = addLangChainErrorFields(
+      new Error(
+        `Unable to coerce message from array: only human, AI, system, or tool message coercion is currently supported.\n\nReceived: ${JSON.stringify(
+          params,
+          null,
+          2
+        )}`
+      ),
+      "MESSAGE_COERCION_FAILURE"
     );
+    throw error;
   }
 }
 
diff --git a/langchain-core/src/output_parsers/base.ts b/langchain-core/src/output_parsers/base.ts
index 7d5e5eaaed57..3d0eaf0ef7cd 100644
--- a/langchain-core/src/output_parsers/base.ts
+++ b/langchain-core/src/output_parsers/base.ts
@@ -4,6 +4,7 @@ import type { BasePromptValueInterface } from "../prompt_values.js";
 import type { BaseMessage, MessageContentComplex } from "../messages/index.js";
 import type { Callbacks } from "../callbacks/manager.js";
 import type { Generation, ChatGeneration } from "../outputs.js";
+import { addLangChainErrorFields } from "../errors/index.js";
 
 /**
  * Options for formatting instructions.
@@ -193,5 +194,7 @@ export class OutputParserException extends Error {
         );
       }
     }
+
+    addLangChainErrorFields(this, "OUTPUT_PARSING_FAILURE");
   }
 }
diff --git a/langchain-core/src/prompts/chat.ts b/langchain-core/src/prompts/chat.ts
index 0d32610fbef0..406d9f6b6f17 100644
--- a/langchain-core/src/prompts/chat.ts
+++ b/langchain-core/src/prompts/chat.ts
@@ -39,6 +39,7 @@ import {
   parseFString,
   parseMustache,
 } from "./template.js";
+import { addLangChainErrorFields } from "../errors/index.js";
 
 /**
  * Abstract class that serves as a base for creating message prompt
@@ -168,6 +169,8 @@ export class MessagesPlaceholder<
         ].join("\n\n")
       );
       error.name = "InputFormatError";
+      // eslint-disable-next-line @typescript-eslint/no-explicit-any
+      (error as any).lc_error_code = e.lc_error_code;
       throw error;
     }
 
@@ -996,9 +999,13 @@ export class ChatPromptTemplate<
               !(inputVariable in allValues) &&
               !(isMessagesPlaceholder(promptMessage) && promptMessage.optional)
             ) {
-              throw new Error(
-                `Missing value for input variable \`${inputVariable.toString()}\``
+              const error = addLangChainErrorFields(
+                new Error(
+                  `Missing value for input variable \`${inputVariable.toString()}\``
+                ),
+                "INVALID_PROMPT_INPUT"
               );
+              throw error;
             }
             acc[inputVariable] = allValues[inputVariable];
             return acc;
diff --git a/langchain-core/src/prompts/template.ts b/langchain-core/src/prompts/template.ts
index e6ddb98c087e..b8de45f95fde 100644
--- a/langchain-core/src/prompts/template.ts
+++ b/langchain-core/src/prompts/template.ts
@@ -1,6 +1,7 @@
 import mustache from "mustache";
 import { MessageContent } from "../messages/index.js";
 import type { InputValues } from "../utils/types/index.js";
+import { addLangChainErrorFields } from "../errors/index.js";
 
 function configureMustache() {
   // Use unescaped HTML
@@ -155,7 +156,14 @@ export const renderTemplate = (
   template: string,
   templateFormat: TemplateFormat,
   inputValues: InputValues
-) => DEFAULT_FORMATTER_MAPPING[templateFormat](template, inputValues);
+) => {
+  try {
+    return DEFAULT_FORMATTER_MAPPING[templateFormat](template, inputValues);
+  } catch (e) {
+    const error = addLangChainErrorFields(e, "INVALID_PROMPT_INPUT");
+    throw error;
+  }
+};
 
 export const parseTemplate = (
   template: string,
diff --git a/langchain-core/src/prompts/tests/chat.test.ts b/langchain-core/src/prompts/tests/chat.test.ts
index 26b44f1a4f44..62049ca55707 100644
--- a/langchain-core/src/prompts/tests/chat.test.ts
+++ b/langchain-core/src/prompts/tests/chat.test.ts
@@ -1,3 +1,5 @@
+/* eslint-disable @typescript-eslint/no-explicit-any */
+
 import { expect, test } from "@jest/globals";
 import {
   AIMessagePromptTemplate,
@@ -73,13 +75,18 @@ test("Test format", async () => {
 
 test("Test format with invalid input values", async () => {
   const chatPrompt = createChatPromptTemplate();
-  await expect(
+  let error: any | undefined;
+  try {
     // @ts-expect-error TS compiler should flag missing input variables
-    chatPrompt.formatPromptValue({
+    await chatPrompt.formatPromptValue({
       context: "This is a context",
       foo: "Foo",
-    })
-  ).rejects.toThrow("Missing value for input variable `bar`");
+    });
+  } catch (e) {
+    error = e;
+  }
+  expect(error?.message).toContain("Missing value for input variable `bar`");
+  expect(error?.lc_error_code).toEqual("INVALID_PROMPT_INPUT");
 });
 
 test("Test format with invalid input variables", async () => {
@@ -366,7 +373,7 @@ test("Test MessagesPlaceholder not optional with invalid input should throw", as
       badInput,
       null,
       2
-    )}\n\nAdditional message: Unable to coerce message from array: only human, AI, or system message coercion is currently supported.`
+    )}\n\nAdditional message: Unable to coerce message from array: only human, AI, system, or tool message coercion is currently supported.`
   );
 });
 
diff --git a/langchain-core/src/runnables/tests/runnable.test.ts b/langchain-core/src/runnables/tests/runnable.test.ts
index ca597ab35872..23438aa4b372 100644
--- a/langchain-core/src/runnables/tests/runnable.test.ts
+++ b/langchain-core/src/runnables/tests/runnable.test.ts
@@ -427,10 +427,14 @@ test("Create a runnable sequence with a static method with invalid output and ca
     }
   };
   const runnable = RunnableSequence.from([promptTemplate, llm, parser]);
-  await expect(async () => {
-    const result = await runnable.invoke({ input: "Hello sequence!" });
-    console.log(result);
-  }).rejects.toThrow(OutputParserException);
+  let error: any | undefined;
+  try {
+    await runnable.invoke({ input: "Hello sequence!" });
+  } catch (e: any) {
+    error = e;
+  }
+  expect(error).toBeInstanceOf(OutputParserException);
+  expect(error?.lc_error_code).toEqual("OUTPUT_PARSING_FAILURE");
 });
 
 test("RunnableSequence can pass config to every step in batched request", async () => {

From ccd97dbda1a3ac196bdd91a68aede6e496de757e Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Wed, 16 Oct 2024 18:54:14 -0700
Subject: [PATCH 310/344] chore(core): Release 0.3.12 (#7000)

---
 langchain-core/package.json | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/langchain-core/package.json b/langchain-core/package.json
index 74a13359e3ce..3bda36cd89d1 100644
--- a/langchain-core/package.json
+++ b/langchain-core/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/core",
-  "version": "0.3.11",
+  "version": "0.3.12",
   "description": "Core LangChain.js abstractions and schemas",
   "type": "module",
   "engines": {

From fe2646a3223030ab9171a26c5ad553f2f19b1755 Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Wed, 16 Oct 2024 19:35:12 -0700
Subject: [PATCH 311/344] fix(core): Fix typo (#7001)

---
 langchain-core/src/errors/index.ts | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/langchain-core/src/errors/index.ts b/langchain-core/src/errors/index.ts
index 469a562783f2..2085c30ecf74 100644
--- a/langchain-core/src/errors/index.ts
+++ b/langchain-core/src/errors/index.ts
@@ -15,6 +15,6 @@ export function addLangChainErrorFields(
   lc_error_code: LangChainErrorCodes
 ) {
   (error as any).lc_error_code = lc_error_code;
-  error.message = `${error.message}\n\nTroubleshooting URL: https://js.langchain.com/troubleshooting/errors/${lc_error_code}/\n`;
+  error.message = `${error.message}\n\nTroubleshooting URL: https://js.langchain.com/docs/troubleshooting/errors/${lc_error_code}/\n`;
   return error;
 }

From 3240e77311df6dcb52227fc2f5f6dd9ab04bcfc9 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ji=C5=99=C3=AD=20Spilka?= <jiri.spilka@apify.com>
Date: Thu, 17 Oct 2024 04:35:30 +0200
Subject: [PATCH 312/344] feat(community): Add Origin/langchain to Apify's
 client's user-agent to attribute API activity to langchainhs (#6988)

---
 .../web_loaders/apify_dataset.mdx             | 22 ++++---
 .../apify_dataset_existing.ts                 | 11 +++-
 .../src/document_loaders/apify_dataset_new.ts | 13 ++++-
 .../src/document_loaders/web/apify_dataset.ts | 57 +++++++++++++++----
 4 files changed, 81 insertions(+), 22 deletions(-)

diff --git a/docs/core_docs/docs/integrations/document_loaders/web_loaders/apify_dataset.mdx b/docs/core_docs/docs/integrations/document_loaders/web_loaders/apify_dataset.mdx
index 4759c110beb1..8e3d4da49562 100644
--- a/docs/core_docs/docs/integrations/document_loaders/web_loaders/apify_dataset.mdx
+++ b/docs/core_docs/docs/integrations/document_loaders/web_loaders/apify_dataset.mdx
@@ -10,7 +10,7 @@ This guide shows how to use [Apify](https://apify.com) with LangChain to load do
 ## Overview
 
 [Apify](https://apify.com) is a cloud platform for web scraping and data extraction,
-which provides an [ecosystem](https://apify.com/store) of more than a thousand
+which provides an [ecosystem](https://apify.com/store) of more than two thousand
 ready-made apps called _Actors_ for various web scraping, crawling, and data extraction use cases.
 
 This guide shows how to load documents
@@ -19,11 +19,14 @@ storage built for storing structured web scraping results,
 such as a list of products or Google SERPs, and then export them to various
 formats like JSON, CSV, or Excel.
 
-Datasets are typically used to save results of Actors.
+Datasets are typically used to save results of different Actors.
 For example, [Website Content Crawler](https://apify.com/apify/website-content-crawler) Actor
 deeply crawls websites such as documentation, knowledge bases, help centers, or blogs,
 and then stores the text content of webpages into a dataset,
-from which you can feed the documents into a vector index and answer questions from it.
+from which you can feed the documents into a vector database and use it for information retrieval.
+Another example is the [RAG Web Browser](https://apify.com/apify/rag-web-browser) Actor,
+which queries Google Search, scrapes the top N pages from the results, and returns the cleaned
+content in Markdown format for further processing by a large language model.
 
 ## Setup
 
@@ -38,18 +41,21 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @langchain/openai @langchain/community @langchain/core
+npm install hnswlib-node @langchain/openai @langchain/community @langchain/core
 ```
 
-You'll also need to sign up and retrieve your [Apify API token](https://console.apify.com/account/integrations).
+You'll also need to sign up and retrieve your [Apify API token](https://console.apify.com/settings/integrations).
 
 ## Usage
 
-### From a New Dataset
+### From a New Dataset (Crawl a Website and Store the data in Apify Dataset)
 
 If you don't already have an existing dataset on the Apify platform, you'll need to initialize the document loader by calling an Actor and waiting for the results.
+In the example below, we use the [Website Content Crawler](https://apify.com/apify/website-content-crawler) Actor to crawl
+LangChain documentation, store the results in Apify Dataset, and then load the dataset using the `ApifyDatasetLoader`.
+For this demonstration, we'll use a fast Cheerio crawler type and limit the number of crawled pages to 10.
 
-**Note:** Calling an Actor can take a significant amount of time, on the order of hours, or even days for large sites!
+**Note:** Running the Website Content Crawler may take some time, depending on the size of the website. For large sites, it can take several hours or even days!
 
 Here's an example:
 
@@ -60,7 +66,7 @@ import NewExample from "@examples/document_loaders/apify_dataset_new.ts";
 
 ## From an Existing Dataset
 
-If you already have an existing dataset on the Apify platform, you can initialize the document loader with the constructor directly:
+If you've already run an Actor and have an existing dataset on the Apify platform, you can initialize the document loader directly using the constructor
 
 import ExistingExample from "@examples/document_loaders/apify_dataset_existing.ts";
 
diff --git a/examples/src/document_loaders/apify_dataset_existing.ts b/examples/src/document_loaders/apify_dataset_existing.ts
index d9a647ad7403..827d6341575f 100644
--- a/examples/src/document_loaders/apify_dataset_existing.ts
+++ b/examples/src/document_loaders/apify_dataset_existing.ts
@@ -6,6 +6,9 @@ import { ChatPromptTemplate } from "@langchain/core/prompts";
 import { createRetrievalChain } from "langchain/chains/retrieval";
 import { createStuffDocumentsChain } from "langchain/chains/combine_documents";
 
+const APIFY_API_TOKEN = "YOUR-APIFY-API-TOKEN"; // or set as process.env.APIFY_API_TOKEN
+const OPENAI_API_KEY = "YOUR-OPENAI-API-KEY"; // or set as process.env.OPENAI_API_KEY
+
 /*
  * datasetMappingFunction is a function that maps your Apify dataset format to LangChain documents.
  * In the below example, the Apify dataset format looks like this:
@@ -21,16 +24,20 @@ const loader = new ApifyDatasetLoader("your-dataset-id", {
       metadata: { source: item.url },
     }),
   clientOptions: {
-    token: "your-apify-token", // Or set as process.env.APIFY_API_TOKEN
+    token: APIFY_API_TOKEN,
   },
 });
 
 const docs = await loader.load();
 
-const vectorStore = await HNSWLib.fromDocuments(docs, new OpenAIEmbeddings());
+const vectorStore = await HNSWLib.fromDocuments(
+  docs,
+  new OpenAIEmbeddings({ apiKey: OPENAI_API_KEY })
+);
 
 const model = new ChatOpenAI({
   temperature: 0,
+  apiKey: OPENAI_API_KEY,
 });
 
 const questionAnsweringPrompt = ChatPromptTemplate.fromMessages([
diff --git a/examples/src/document_loaders/apify_dataset_new.ts b/examples/src/document_loaders/apify_dataset_new.ts
index e0c8718c481e..2e36875f60f6 100644
--- a/examples/src/document_loaders/apify_dataset_new.ts
+++ b/examples/src/document_loaders/apify_dataset_new.ts
@@ -6,6 +6,9 @@ import { ChatPromptTemplate } from "@langchain/core/prompts";
 import { createStuffDocumentsChain } from "langchain/chains/combine_documents";
 import { createRetrievalChain } from "langchain/chains/retrieval";
 
+const APIFY_API_TOKEN = "YOUR-APIFY-API-TOKEN"; // or set as process.env.APIFY_API_TOKEN
+const OPENAI_API_KEY = "YOUR-OPENAI-API-KEY"; // or set as process.env.OPENAI_API_KEY
+
 /*
  * datasetMappingFunction is a function that maps your Apify dataset format to LangChain documents.
  * In the below example, the Apify dataset format looks like this:
@@ -17,6 +20,8 @@ import { createRetrievalChain } from "langchain/chains/retrieval";
 const loader = await ApifyDatasetLoader.fromActorCall(
   "apify/website-content-crawler",
   {
+    maxCrawlPages: 10,
+    crawlerType: "cheerio",
     startUrls: [{ url: "https://js.langchain.com/docs/" }],
   },
   {
@@ -26,17 +31,21 @@ const loader = await ApifyDatasetLoader.fromActorCall(
         metadata: { source: item.url },
       }),
     clientOptions: {
-      token: "your-apify-token", // Or set as process.env.APIFY_API_TOKEN
+      token: APIFY_API_TOKEN,
     },
   }
 );
 
 const docs = await loader.load();
 
-const vectorStore = await HNSWLib.fromDocuments(docs, new OpenAIEmbeddings());
+const vectorStore = await HNSWLib.fromDocuments(
+  docs,
+  new OpenAIEmbeddings({ apiKey: OPENAI_API_KEY })
+);
 
 const model = new ChatOpenAI({
   temperature: 0,
+  apiKey: OPENAI_API_KEY,
 });
 
 const questionAnsweringPrompt = ChatPromptTemplate.fromMessages([
diff --git a/libs/langchain-community/src/document_loaders/web/apify_dataset.ts b/libs/langchain-community/src/document_loaders/web/apify_dataset.ts
index 0f5b1dceaed5..eda81f5affd4 100644
--- a/libs/langchain-community/src/document_loaders/web/apify_dataset.ts
+++ b/libs/langchain-community/src/document_loaders/web/apify_dataset.ts
@@ -81,17 +81,50 @@ export class ApifyDatasetLoader<Metadata extends Record<string, any>>
     super();
     const { clientOptions, datasetMappingFunction, ...asyncCallerParams } =
       config;
-    const token = ApifyDatasetLoader._getApifyApiToken(clientOptions);
-    this.apifyClient = new ApifyClient({ ...clientOptions, token });
+    this.apifyClient = ApifyDatasetLoader._getApifyClient(clientOptions);
     this.datasetId = datasetId;
     this.datasetMappingFunction = datasetMappingFunction;
     this.caller = new AsyncCaller(asyncCallerParams);
   }
 
+  /**
+   * Creates an instance of the ApifyClient class with the provided clientOptions.
+   * Adds a User-Agent header to the request config for langchainjs attribution.
+   * @param clientOptions
+   * @private
+   */
+  private static _getApifyClient(
+    clientOptions?: ApifyClientOptions
+  ): ApifyClient {
+    const token = ApifyDatasetLoader._getApifyApiToken(clientOptions);
+    const updatedClientOptions = {
+      ...clientOptions,
+      token,
+      requestInterceptors: [
+        ...(clientOptions?.requestInterceptors ?? []),
+        ApifyDatasetLoader._addUserAgent,
+      ],
+    };
+    return new ApifyClient({ ...updatedClientOptions, token });
+  }
+
   private static _getApifyApiToken(config?: { token?: string }) {
     return config?.token ?? getEnvironmentVariable("APIFY_API_TOKEN");
   }
 
+  /**
+   * Adds a User-Agent header to the request config.
+   * @param config
+   * @private
+   */
+  private static _addUserAgent(config: any): any {
+    const updatedConfig = { ...config };
+    updatedConfig.headers ??= {};
+    updatedConfig.headers["User-Agent"] =
+      (updatedConfig.headers["User-Agent"] ?? "") + "; Origin/langchainjs";
+    return updatedConfig;
+  }
+
   /**
    * Retrieves the dataset items from the Apify platform and applies the
    * datasetMappingFunction to each item to create an array of Document
@@ -116,8 +149,8 @@ export class ApifyDatasetLoader<Metadata extends Record<string, any>>
    * Create an ApifyDatasetLoader by calling an Actor on the Apify platform and waiting for its results to be ready.
    * @param actorId The ID or name of the Actor on the Apify platform.
    * @param input The input object of the Actor that you're trying to run.
-   * @param options Options specifying settings for the Actor run.
-   * @param options.datasetMappingFunction A function that takes a single object (an Apify dataset item) and converts it to an instance of the Document class.
+   * @param config Options specifying settings for the Actor run.
+   * @param config.datasetMappingFunction A function that takes a single object (an Apify dataset item) and converts it to an instance of the Document class.
    * @returns An instance of `ApifyDatasetLoader` with the results from the Actor run.
    */
   static async fromActorCall<Metadata extends Record<string, any>>(
@@ -132,8 +165,9 @@ export class ApifyDatasetLoader<Metadata extends Record<string, any>>
     const apifyApiToken = ApifyDatasetLoader._getApifyApiToken(
       config.clientOptions
     );
-    const apifyClient = new ApifyClient({ token: apifyApiToken });
-
+    const apifyClient = ApifyDatasetLoader._getApifyClient(
+      config.clientOptions
+    );
     const actorCall = await apifyClient
       .actor(actorId)
       .call(input, config.callOptions ?? {});
@@ -148,8 +182,10 @@ export class ApifyDatasetLoader<Metadata extends Record<string, any>>
    * Create an ApifyDatasetLoader by calling a saved Actor task on the Apify platform and waiting for its results to be ready.
    * @param taskId The ID or name of the task on the Apify platform.
    * @param input The input object of the task that you're trying to run. Overrides the task's saved input.
-   * @param options Options specifying settings for the task run.
-   * @param options.datasetMappingFunction A function that takes a single object (an Apify dataset item) and converts it to an instance of the Document class.
+   * @param config Options specifying settings for the task run.
+   * @param config.callOptions Options specifying settings for the task run.
+   * @param config.clientOptions Options specifying settings for the Apify client.
+   * @param config.datasetMappingFunction A function that takes a single object (an Apify dataset item) and converts it to an instance of the Document class.
    * @returns An instance of `ApifyDatasetLoader` with the results from the task's run.
    */
   static async fromActorTaskCall<Metadata extends Record<string, any>>(
@@ -164,8 +200,9 @@ export class ApifyDatasetLoader<Metadata extends Record<string, any>>
     const apifyApiToken = ApifyDatasetLoader._getApifyApiToken(
       config.clientOptions
     );
-    const apifyClient = new ApifyClient({ token: apifyApiToken });
-
+    const apifyClient = ApifyDatasetLoader._getApifyClient(
+      config.clientOptions
+    );
     const taskCall = await apifyClient
       .task(taskId)
       .call(input, config.callOptions ?? {});

From 9d9316672d26e44ad2f7cf01dea314aff7422fb6 Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Wed, 16 Oct 2024 19:41:51 -0700
Subject: [PATCH 313/344] fix(community): Fix CI (#7002)

---
 .github/workflows/compatibility.yml | 10 +++++-----
 1 file changed, 5 insertions(+), 5 deletions(-)

diff --git a/.github/workflows/compatibility.yml b/.github/workflows/compatibility.yml
index 9174f2fc31ef..495a6a200d09 100644
--- a/.github/workflows/compatibility.yml
+++ b/.github/workflows/compatibility.yml
@@ -6,10 +6,10 @@ on:
   pull_request:
     # Only run this workflow if the following directories have changed.
     paths:
-      - 'langchain/**'
-      - 'langchain-core/**'
-      - 'libs/**'
-  workflow_dispatch:  # Allows triggering the workflow manually in GitHub UI
+      - "langchain/**"
+      - "langchain-core/**"
+      - "libs/**"
+  workflow_dispatch: # Allows triggering the workflow manually in GitHub UI
 
 # If another push to the same PR or branch happens while this workflow is still running,
 # cancel the earlier run in favor of the next run.
@@ -24,7 +24,7 @@ concurrency:
 env:
   PUPPETEER_SKIP_DOWNLOAD: "true"
   PLAYWRIGHT_SKIP_BROWSER_DOWNLOAD: "true"
-  NODE_VERSION: "18.x"
+  NODE_VERSION: "20.x"
   COHERE_API_KEY: ${{ secrets.COHERE_API_KEY }}
 
 # Run a separate job for each check in the docker-compose file,

From ff7789280e728e2d33c47ea0278c048a0fd0ab6f Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Wed, 16 Oct 2024 19:59:53 -0700
Subject: [PATCH 314/344] feat(openai): Wrap some common OpenAI errors (#7003)

---
 .../tests/chat_models-extended.int.test.ts    | 12 ++++++
 .../src/tests/chat_models.int.test.ts         | 37 ++++++++++++++++++-
 libs/langchain-openai/src/utils/errors.ts     | 22 +++++++++++
 libs/langchain-openai/src/utils/openai.ts     |  9 +++++
 4 files changed, 79 insertions(+), 1 deletion(-)
 create mode 100644 libs/langchain-openai/src/utils/errors.ts

diff --git a/libs/langchain-openai/src/tests/chat_models-extended.int.test.ts b/libs/langchain-openai/src/tests/chat_models-extended.int.test.ts
index d42e61e2c6a0..970400634d4f 100644
--- a/libs/langchain-openai/src/tests/chat_models-extended.int.test.ts
+++ b/libs/langchain-openai/src/tests/chat_models-extended.int.test.ts
@@ -1,4 +1,5 @@
 /* eslint-disable no-promise-executor-return */
+/* eslint-disable @typescript-eslint/no-explicit-any */
 import { test, expect, jest } from "@jest/globals";
 import { AIMessage, HumanMessage, ToolMessage } from "@langchain/core/messages";
 import { concat } from "@langchain/core/utils/stream";
@@ -166,6 +167,17 @@ test("Test ChatOpenAI tool calling with ToolMessages", async () => {
         ),
       })
   );
+  let toolError;
+  try {
+    await chat.invoke([
+      ["human", "What's the weather like in San Francisco, Tokyo, and Paris?"],
+      res,
+    ]);
+  } catch (e) {
+    toolError = e;
+  }
+  expect(toolError).toBeDefined();
+  expect((toolError as any)?.lc_error_code).toEqual("INVALID_TOOL_RESULTS");
   // @eslint-disable-next-line/@typescript-eslint/ban-ts-comment
   // @ts-expect-error unused var
   const finalResponse = await chat.invoke([
diff --git a/libs/langchain-openai/src/tests/chat_models.int.test.ts b/libs/langchain-openai/src/tests/chat_models.int.test.ts
index 4e0957d25ec2..7c3510b3543a 100644
--- a/libs/langchain-openai/src/tests/chat_models.int.test.ts
+++ b/libs/langchain-openai/src/tests/chat_models.int.test.ts
@@ -1,5 +1,5 @@
 /* eslint-disable no-process-env */
-
+/* eslint-disable @typescript-eslint/no-explicit-any */
 import { test, jest, expect } from "@jest/globals";
 import {
   AIMessageChunk,
@@ -43,6 +43,41 @@ test("Test ChatOpenAI Generate", async () => {
   // console.log({ res });
 });
 
+test("Test ChatOpenAI invoke fails with proper error", async () => {
+  const chat = new ChatOpenAI({
+    model: "gpt-4o-mini",
+    maxTokens: 10,
+    n: 2,
+    apiKey: "bad",
+  });
+  const message = new HumanMessage("Hello!");
+  let authError;
+  try {
+    await chat.invoke([message]);
+  } catch (e) {
+    authError = e;
+  }
+  expect(authError).toBeDefined();
+  expect((authError as any)?.lc_error_code).toEqual("MODEL_AUTHENTICATION");
+});
+
+test("Test ChatOpenAI invoke to unknown model fails with proper error", async () => {
+  const chat = new ChatOpenAI({
+    model: "badbadbad",
+    maxTokens: 10,
+    n: 2,
+  });
+  const message = new HumanMessage("Hello!");
+  let authError;
+  try {
+    await chat.invoke([message]);
+  } catch (e) {
+    authError = e;
+  }
+  expect(authError).toBeDefined();
+  expect((authError as any)?.lc_error_code).toEqual("MODEL_NOT_FOUND");
+});
+
 test("Test ChatOpenAI Generate throws when one of the calls fails", async () => {
   const chat = new ChatOpenAI({
     modelName: "gpt-3.5-turbo",
diff --git a/libs/langchain-openai/src/utils/errors.ts b/libs/langchain-openai/src/utils/errors.ts
new file mode 100644
index 000000000000..463c67cdc86f
--- /dev/null
+++ b/libs/langchain-openai/src/utils/errors.ts
@@ -0,0 +1,22 @@
+/* eslint-disable @typescript-eslint/no-explicit-any */
+/* eslint-disable no-param-reassign */
+
+// Duplicate of core
+// TODO: Remove once we stop supporting 0.2.x core versions
+export type LangChainErrorCodes =
+  | "INVALID_PROMPT_INPUT"
+  | "INVALID_TOOL_RESULTS"
+  | "MESSAGE_COERCION_FAILURE"
+  | "MODEL_AUTHENTICATION"
+  | "MODEL_NOT_FOUND"
+  | "MODEL_RATE_LIMIT"
+  | "OUTPUT_PARSING_FAILURE";
+
+export function addLangChainErrorFields(
+  error: any,
+  lc_error_code: LangChainErrorCodes
+) {
+  (error as any).lc_error_code = lc_error_code;
+  error.message = `${error.message}\n\nTroubleshooting URL: https://js.langchain.com/docs/troubleshooting/errors/${lc_error_code}/\n`;
+  return error;
+}
diff --git a/libs/langchain-openai/src/utils/openai.ts b/libs/langchain-openai/src/utils/openai.ts
index e95297e56b64..a81240f67c02 100644
--- a/libs/langchain-openai/src/utils/openai.ts
+++ b/libs/langchain-openai/src/utils/openai.ts
@@ -9,6 +9,7 @@ import {
   convertToOpenAIFunction,
   convertToOpenAITool,
 } from "@langchain/core/utils/function_calling";
+import { addLangChainErrorFields } from "./errors.js";
 
 // eslint-disable-next-line @typescript-eslint/no-explicit-any
 export function wrapOpenAIClientError(e: any) {
@@ -19,6 +20,14 @@ export function wrapOpenAIClientError(e: any) {
   } else if (e.constructor.name === APIUserAbortError.name) {
     error = new Error(e.message);
     error.name = "AbortError";
+  } else if (e.status === 400 && e.message.includes("tool_calls")) {
+    error = addLangChainErrorFields(e, "INVALID_TOOL_RESULTS");
+  } else if (e.status === 401) {
+    error = addLangChainErrorFields(e, "MODEL_AUTHENTICATION");
+  } else if (e.status === 429) {
+    error = addLangChainErrorFields(e, "MODEL_RATE_LIMIT");
+  } else if (e.status === 404) {
+    error = addLangChainErrorFields(e, "MODEL_NOT_FOUND");
   } else {
     error = e;
   }

From 17896b29533a2c26193109ae64ed19c2138e42b0 Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Wed, 16 Oct 2024 20:59:52 -0700
Subject: [PATCH 315/344] chore(openai): Release 0.3.8 (#7006)

---
 libs/langchain-openai/package.json | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/libs/langchain-openai/package.json b/libs/langchain-openai/package.json
index 85237388c0ab..89f49f9e84bd 100644
--- a/libs/langchain-openai/package.json
+++ b/libs/langchain-openai/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/openai",
-  "version": "0.3.7",
+  "version": "0.3.8",
   "description": "OpenAI integrations for LangChain.js",
   "type": "module",
   "engines": {

From 1ee5e481d9dfc155ec5f98abcd3e04dc0c779b18 Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Wed, 16 Oct 2024 21:00:39 -0700
Subject: [PATCH 316/344] feat(anthropic): Wrap common Anthropic model errors
 (#7004)

---
 libs/langchain-anthropic/src/chat_models.ts   | 47 ++++++++++++-------
 .../src/tests/chat_models-tools.int.test.ts   | 31 ++++++++++++
 .../src/tests/chat_models.int.test.ts         | 34 ++++++++++++++
 libs/langchain-anthropic/src/utils/errors.ts  | 39 +++++++++++++++
 4 files changed, 134 insertions(+), 17 deletions(-)
 create mode 100644 libs/langchain-anthropic/src/utils/errors.ts

diff --git a/libs/langchain-anthropic/src/chat_models.ts b/libs/langchain-anthropic/src/chat_models.ts
index 9361730b94fc..3627aed6272c 100644
--- a/libs/langchain-anthropic/src/chat_models.ts
+++ b/libs/langchain-anthropic/src/chat_models.ts
@@ -46,6 +46,7 @@ import {
   AnthropicToolChoice,
   ChatAnthropicToolType,
 } from "./types.js";
+import { wrapAnthropicClientError } from "./utils/errors.js";
 
 export interface ChatAnthropicCallOptions
   extends BaseChatModelCallOptions,
@@ -937,15 +938,21 @@ export class ChatAnthropicMessages<
         maxRetries: 0,
       });
     }
-    const makeCompletionRequest = async () =>
-      this.streamingClient.messages.create(
-        {
-          ...request,
-          ...this.invocationKwargs,
-          stream: true,
-        } as AnthropicStreamingMessageCreateParams,
-        options
-      );
+    const makeCompletionRequest = async () => {
+      try {
+        return await this.streamingClient.messages.create(
+          {
+            ...request,
+            ...this.invocationKwargs,
+            stream: true,
+          } as AnthropicStreamingMessageCreateParams,
+          options
+        );
+      } catch (e) {
+        const error = wrapAnthropicClientError(e);
+        throw error;
+      }
+    };
     return this.caller.call(makeCompletionRequest);
   }
 
@@ -964,14 +971,20 @@ export class ChatAnthropicMessages<
         maxRetries: 0,
       });
     }
-    const makeCompletionRequest = async () =>
-      this.batchClient.messages.create(
-        {
-          ...request,
-          ...this.invocationKwargs,
-        } as AnthropicMessageCreateParams,
-        options
-      );
+    const makeCompletionRequest = async () => {
+      try {
+        return await this.batchClient.messages.create(
+          {
+            ...request,
+            ...this.invocationKwargs,
+          } as AnthropicMessageCreateParams,
+          options
+        );
+      } catch (e) {
+        const error = wrapAnthropicClientError(e);
+        throw error;
+      }
+    };
     return this.caller.callWithOptions(
       { signal: options.signal ?? undefined },
       makeCompletionRequest
diff --git a/libs/langchain-anthropic/src/tests/chat_models-tools.int.test.ts b/libs/langchain-anthropic/src/tests/chat_models-tools.int.test.ts
index 880cd6a21479..8deb3c8626e1 100644
--- a/libs/langchain-anthropic/src/tests/chat_models-tools.int.test.ts
+++ b/libs/langchain-anthropic/src/tests/chat_models-tools.int.test.ts
@@ -1,4 +1,5 @@
 /* eslint-disable no-process-env */
+/* eslint-disable @typescript-eslint/no-explicit-any */
 
 import { expect, test } from "@jest/globals";
 import {
@@ -87,6 +88,36 @@ test("Few shotting with tool calls", async () => {
   expect(res.content).toContain("24");
 });
 
+test("Invalid tool calls should throw an appropriate error", async () => {
+  const chat = model.bindTools([new WeatherTool()]);
+  let error;
+  try {
+    await chat.invoke([
+      new HumanMessage("What is the weather in SF?"),
+      new AIMessage({
+        content: "Let me look up the current weather.",
+        tool_calls: [
+          {
+            id: "toolu_feiwjf9u98r389u498",
+            name: "get_weather",
+            args: {
+              location: "SF",
+            },
+          },
+        ],
+      }),
+      new ToolMessage({
+        tool_call_id: "badbadbad",
+        content: "It is currently 24 degrees with hail in San Francisco.",
+      }),
+    ]);
+  } catch (e) {
+    error = e;
+  }
+  expect(error).toBeDefined();
+  expect((error as any).lc_error_code).toEqual("INVALID_TOOL_RESULTS");
+});
+
 test("Can bind & invoke StructuredTools", async () => {
   const tools = [new WeatherTool()];
 
diff --git a/libs/langchain-anthropic/src/tests/chat_models.int.test.ts b/libs/langchain-anthropic/src/tests/chat_models.int.test.ts
index 7d823727fc17..d9240f2f03aa 100644
--- a/libs/langchain-anthropic/src/tests/chat_models.int.test.ts
+++ b/libs/langchain-anthropic/src/tests/chat_models.int.test.ts
@@ -1,4 +1,5 @@
 /* eslint-disable no-process-env */
+/* eslint-disable @typescript-eslint/no-explicit-any */
 
 import { expect, test } from "@jest/globals";
 import {
@@ -30,6 +31,39 @@ test("Test ChatAnthropic", async () => {
   expect(res.response_metadata.usage).toBeDefined();
 });
 
+test("Test ChatAnthropic with a bad API key throws appropriate error", async () => {
+  const chat = new ChatAnthropic({
+    modelName: "claude-3-sonnet-20240229",
+    maxRetries: 0,
+    apiKey: "bad",
+  });
+  let error;
+  try {
+    const message = new HumanMessage("Hello!");
+    await chat.invoke([message]);
+  } catch (e) {
+    error = e;
+  }
+  expect(error).toBeDefined();
+  expect((error as any).lc_error_code).toEqual("MODEL_AUTHENTICATION");
+});
+
+test("Test ChatAnthropic with unknown model throws appropriate error", async () => {
+  const chat = new ChatAnthropic({
+    modelName: "badbad",
+    maxRetries: 0,
+  });
+  let error;
+  try {
+    const message = new HumanMessage("Hello!");
+    await chat.invoke([message]);
+  } catch (e) {
+    error = e;
+  }
+  expect(error).toBeDefined();
+  expect((error as any).lc_error_code).toEqual("MODEL_NOT_FOUND");
+});
+
 test("Test ChatAnthropic Generate", async () => {
   const chat = new ChatAnthropic({
     modelName: "claude-3-sonnet-20240229",
diff --git a/libs/langchain-anthropic/src/utils/errors.ts b/libs/langchain-anthropic/src/utils/errors.ts
new file mode 100644
index 000000000000..b57c2c088573
--- /dev/null
+++ b/libs/langchain-anthropic/src/utils/errors.ts
@@ -0,0 +1,39 @@
+/* eslint-disable @typescript-eslint/no-explicit-any */
+/* eslint-disable no-param-reassign */
+
+// Duplicate of core
+// TODO: Remove once we stop supporting 0.2.x core versions
+export type LangChainErrorCodes =
+  | "INVALID_PROMPT_INPUT"
+  | "INVALID_TOOL_RESULTS"
+  | "MESSAGE_COERCION_FAILURE"
+  | "MODEL_AUTHENTICATION"
+  | "MODEL_NOT_FOUND"
+  | "MODEL_RATE_LIMIT"
+  | "OUTPUT_PARSING_FAILURE";
+
+export function addLangChainErrorFields(
+  error: any,
+  lc_error_code: LangChainErrorCodes
+) {
+  (error as any).lc_error_code = lc_error_code;
+  error.message = `${error.message}\n\nTroubleshooting URL: https://js.langchain.com/docs/troubleshooting/errors/${lc_error_code}/\n`;
+  return error;
+}
+
+// eslint-disable-next-line @typescript-eslint/no-explicit-any
+export function wrapAnthropicClientError(e: any) {
+  let error;
+  if (e.status === 400 && e.message.includes("tool")) {
+    error = addLangChainErrorFields(e, "INVALID_TOOL_RESULTS");
+  } else if (e.status === 401) {
+    error = addLangChainErrorFields(e, "MODEL_AUTHENTICATION");
+  } else if (e.status === 404) {
+    error = addLangChainErrorFields(e, "MODEL_NOT_FOUND");
+  } else if (e.status === 429) {
+    error = addLangChainErrorFields(e, "MODEL_RATE_LIMIT");
+  } else {
+    error = e;
+  }
+  return error;
+}

From 694482ba53a583be716d9e2c457dd4003d7e02ff Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Wed, 16 Oct 2024 21:02:36 -0700
Subject: [PATCH 317/344] chore(anthropic): Release 0.3.5 (#7007)

---
 libs/langchain-anthropic/package.json | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/libs/langchain-anthropic/package.json b/libs/langchain-anthropic/package.json
index d838364630c6..58e94edb84c4 100644
--- a/libs/langchain-anthropic/package.json
+++ b/libs/langchain-anthropic/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/anthropic",
-  "version": "0.3.4",
+  "version": "0.3.5",
   "description": "Anthropic integrations for LangChain.js",
   "type": "module",
   "engines": {

From a98487fb17e035d54c52881345d57406f101d542 Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Wed, 16 Oct 2024 21:02:53 -0700
Subject: [PATCH 318/344] fix(ci): Temporarily disable community range CI
 (#7005)

---
 .github/workflows/compatibility.yml | 70 ++++++++++++++---------------
 1 file changed, 35 insertions(+), 35 deletions(-)

diff --git a/.github/workflows/compatibility.yml b/.github/workflows/compatibility.yml
index 495a6a200d09..3f0a82c37fea 100644
--- a/.github/workflows/compatibility.yml
+++ b/.github/workflows/compatibility.yml
@@ -75,42 +75,42 @@ jobs:
       - name: Test LangChain with lowest deps
         run: docker compose -f dependency_range_tests/docker-compose.yml run langchain-lowest-deps
 
-  # Community
-  community-latest-deps:
-    runs-on: ubuntu-latest
-    needs: get-changed-files
-    if: contains(needs.get-changed-files.outputs.changed_files, 'langchain-core/') || contains(needs.get-changed-files.outputs.changed_files, 'libs/langchain-openai/') || contains(needs.get-changed-files.outputs.changed_files, 'libs/langchain-community/')
-    steps:
-      - uses: actions/checkout@v4
-      - name: Use Node.js ${{ env.NODE_VERSION }}
-        uses: actions/setup-node@v3
-        with:
-          node-version: ${{ env.NODE_VERSION }}
-          cache: "yarn"
-      - name: Install dependencies
-        run: yarn install --immutable
-      - name: Build `@langchain/standard-tests`
-        run: yarn build --filter=@langchain/standard-tests
-      - name: Test `@langchain/community` with latest deps
-        run: docker compose -f dependency_range_tests/docker-compose.yml run community-latest-deps
+  # # Community
+  # community-latest-deps:
+  #   runs-on: ubuntu-latest
+  #   needs: get-changed-files
+  #   if: contains(needs.get-changed-files.outputs.changed_files, 'langchain-core/') || contains(needs.get-changed-files.outputs.changed_files, 'libs/langchain-openai/') || contains(needs.get-changed-files.outputs.changed_files, 'libs/langchain-community/')
+  #   steps:
+  #     - uses: actions/checkout@v4
+  #     - name: Use Node.js ${{ env.NODE_VERSION }}
+  #       uses: actions/setup-node@v3
+  #       with:
+  #         node-version: ${{ env.NODE_VERSION }}
+  #         cache: "yarn"
+  #     - name: Install dependencies
+  #       run: yarn install --immutable
+  #     - name: Build `@langchain/standard-tests`
+  #       run: yarn build --filter=@langchain/standard-tests
+  #     - name: Test `@langchain/community` with latest deps
+  #       run: docker compose -f dependency_range_tests/docker-compose.yml run community-latest-deps
 
-  community-lowest-deps:
-    runs-on: ubuntu-latest
-    needs: get-changed-files
-    if: contains(needs.get-changed-files.outputs.changed_files, 'libs/langchain-community/')
-    steps:
-      - uses: actions/checkout@v4
-      - name: Use Node.js ${{ env.NODE_VERSION }}
-        uses: actions/setup-node@v3
-        with:
-          node-version: ${{ env.NODE_VERSION }}
-          cache: "yarn"
-      - name: Install dependencies
-        run: yarn install --immutable
-      - name: Build `@langchain/standard-tests`
-        run: yarn build --filter=@langchain/standard-tests
-      - name: Test `@langchain/community` with lowest deps
-        run: docker compose -f dependency_range_tests/docker-compose.yml run community-lowest-deps
+  # community-lowest-deps:
+  #   runs-on: ubuntu-latest
+  #   needs: get-changed-files
+  #   if: contains(needs.get-changed-files.outputs.changed_files, 'libs/langchain-community/')
+  #   steps:
+  #     - uses: actions/checkout@v4
+  #     - name: Use Node.js ${{ env.NODE_VERSION }}
+  #       uses: actions/setup-node@v3
+  #       with:
+  #         node-version: ${{ env.NODE_VERSION }}
+  #         cache: "yarn"
+  #     - name: Install dependencies
+  #       run: yarn install --immutable
+  #     - name: Build `@langchain/standard-tests`
+  #       run: yarn build --filter=@langchain/standard-tests
+  #     - name: Test `@langchain/community` with lowest deps
+  #       run: docker compose -f dependency_range_tests/docker-compose.yml run community-lowest-deps
 
   community-npm-install:
     runs-on: ubuntu-latest

From d79c6c052183b0198a79a113659eb585e4e1602b Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Wed, 16 Oct 2024 21:18:05 -0700
Subject: [PATCH 319/344] chore(core): Release 0.3.13 (#7008)

---
 langchain-core/package.json | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/langchain-core/package.json b/langchain-core/package.json
index 3bda36cd89d1..80fa34025c24 100644
--- a/langchain-core/package.json
+++ b/langchain-core/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/core",
-  "version": "0.3.12",
+  "version": "0.3.13",
   "description": "Core LangChain.js abstractions and schemas",
   "type": "module",
   "engines": {

From db80a8bcb31912467a9ec25f6c08e878beb5bfd8 Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Wed, 16 Oct 2024 21:25:37 -0700
Subject: [PATCH 320/344] chore(community): Release 0.3.6 (#7009)

---
 libs/langchain-community/package.json | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/libs/langchain-community/package.json b/libs/langchain-community/package.json
index 743fb9a199a7..e7c3421dd9c3 100644
--- a/libs/langchain-community/package.json
+++ b/libs/langchain-community/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/community",
-  "version": "0.3.5",
+  "version": "0.3.6",
   "description": "Third-party integrations for LangChain.js",
   "type": "module",
   "engines": {

From dad6783385e04aab8575497ae63902484b10be39 Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Wed, 16 Oct 2024 22:29:48 -0700
Subject: [PATCH 321/344] docs: Adds example to error code page (#7010)

---
 docs/core_docs/.gitignore                     | 74 +++++++++----------
 .../errors/INVALID_PROMPT_INPUT.mdx           | 45 ++++++++++-
 2 files changed, 81 insertions(+), 38 deletions(-)

diff --git a/docs/core_docs/.gitignore b/docs/core_docs/.gitignore
index e28b16431fd6..3947053a76dd 100644
--- a/docs/core_docs/.gitignore
+++ b/docs/core_docs/.gitignore
@@ -288,16 +288,6 @@ docs/integrations/text_embedding/bedrock.md
 docs/integrations/text_embedding/bedrock.mdx
 docs/integrations/text_embedding/azure_openai.md
 docs/integrations/text_embedding/azure_openai.mdx
-docs/integrations/retrievers/tavily.md
-docs/integrations/retrievers/tavily.mdx
-docs/integrations/retrievers/kendra-retriever.md
-docs/integrations/retrievers/kendra-retriever.mdx
-docs/integrations/retrievers/exa.md
-docs/integrations/retrievers/exa.mdx
-docs/integrations/retrievers/bm25.md
-docs/integrations/retrievers/bm25.mdx
-docs/integrations/retrievers/bedrock-knowledge-bases.md
-docs/integrations/retrievers/bedrock-knowledge-bases.mdx
 docs/integrations/llms/together.md
 docs/integrations/llms/together.mdx
 docs/integrations/llms/openai.md
@@ -320,6 +310,32 @@ docs/integrations/llms/azure.md
 docs/integrations/llms/azure.mdx
 docs/integrations/llms/arcjet.md
 docs/integrations/llms/arcjet.mdx
+docs/integrations/retrievers/tavily.md
+docs/integrations/retrievers/tavily.mdx
+docs/integrations/retrievers/kendra-retriever.md
+docs/integrations/retrievers/kendra-retriever.mdx
+docs/integrations/retrievers/exa.md
+docs/integrations/retrievers/exa.mdx
+docs/integrations/retrievers/bm25.md
+docs/integrations/retrievers/bm25.mdx
+docs/integrations/retrievers/bedrock-knowledge-bases.md
+docs/integrations/retrievers/bedrock-knowledge-bases.mdx
+docs/integrations/retrievers/self_query/weaviate.md
+docs/integrations/retrievers/self_query/weaviate.mdx
+docs/integrations/retrievers/self_query/vectara.md
+docs/integrations/retrievers/self_query/vectara.mdx
+docs/integrations/retrievers/self_query/supabase.md
+docs/integrations/retrievers/self_query/supabase.mdx
+docs/integrations/retrievers/self_query/qdrant.md
+docs/integrations/retrievers/self_query/qdrant.mdx
+docs/integrations/retrievers/self_query/pinecone.md
+docs/integrations/retrievers/self_query/pinecone.mdx
+docs/integrations/retrievers/self_query/memory.md
+docs/integrations/retrievers/self_query/memory.mdx
+docs/integrations/retrievers/self_query/hnswlib.md
+docs/integrations/retrievers/self_query/hnswlib.mdx
+docs/integrations/retrievers/self_query/chroma.md
+docs/integrations/retrievers/self_query/chroma.mdx
 docs/integrations/chat/togetherai.md
 docs/integrations/chat/togetherai.mdx
 docs/integrations/chat/openai.md
@@ -350,32 +366,6 @@ docs/integrations/chat/arcjet.md
 docs/integrations/chat/arcjet.mdx
 docs/integrations/chat/anthropic.md
 docs/integrations/chat/anthropic.mdx
-docs/integrations/retrievers/self_query/weaviate.md
-docs/integrations/retrievers/self_query/weaviate.mdx
-docs/integrations/retrievers/self_query/vectara.md
-docs/integrations/retrievers/self_query/vectara.mdx
-docs/integrations/retrievers/self_query/supabase.md
-docs/integrations/retrievers/self_query/supabase.mdx
-docs/integrations/retrievers/self_query/qdrant.md
-docs/integrations/retrievers/self_query/qdrant.mdx
-docs/integrations/retrievers/self_query/pinecone.md
-docs/integrations/retrievers/self_query/pinecone.mdx
-docs/integrations/retrievers/self_query/memory.md
-docs/integrations/retrievers/self_query/memory.mdx
-docs/integrations/retrievers/self_query/hnswlib.md
-docs/integrations/retrievers/self_query/hnswlib.mdx
-docs/integrations/retrievers/self_query/chroma.md
-docs/integrations/retrievers/self_query/chroma.mdx
-docs/integrations/document_loaders/file_loaders/unstructured.md
-docs/integrations/document_loaders/file_loaders/unstructured.mdx
-docs/integrations/document_loaders/file_loaders/text.md
-docs/integrations/document_loaders/file_loaders/text.mdx
-docs/integrations/document_loaders/file_loaders/pdf.md
-docs/integrations/document_loaders/file_loaders/pdf.mdx
-docs/integrations/document_loaders/file_loaders/directory.md
-docs/integrations/document_loaders/file_loaders/directory.mdx
-docs/integrations/document_loaders/file_loaders/csv.md
-docs/integrations/document_loaders/file_loaders/csv.mdx
 docs/integrations/document_loaders/web_loaders/web_puppeteer.md
 docs/integrations/document_loaders/web_loaders/web_puppeteer.mdx
 docs/integrations/document_loaders/web_loaders/web_cheerio.md
@@ -387,4 +377,14 @@ docs/integrations/document_loaders/web_loaders/pdf.mdx
 docs/integrations/document_loaders/web_loaders/langsmith.md
 docs/integrations/document_loaders/web_loaders/langsmith.mdx
 docs/integrations/document_loaders/web_loaders/firecrawl.md
-docs/integrations/document_loaders/web_loaders/firecrawl.mdx
\ No newline at end of file
+docs/integrations/document_loaders/web_loaders/firecrawl.mdx
+docs/integrations/document_loaders/file_loaders/unstructured.md
+docs/integrations/document_loaders/file_loaders/unstructured.mdx
+docs/integrations/document_loaders/file_loaders/text.md
+docs/integrations/document_loaders/file_loaders/text.mdx
+docs/integrations/document_loaders/file_loaders/pdf.md
+docs/integrations/document_loaders/file_loaders/pdf.mdx
+docs/integrations/document_loaders/file_loaders/directory.md
+docs/integrations/document_loaders/file_loaders/directory.mdx
+docs/integrations/document_loaders/file_loaders/csv.md
+docs/integrations/document_loaders/file_loaders/csv.mdx
\ No newline at end of file
diff --git a/docs/core_docs/docs/troubleshooting/errors/INVALID_PROMPT_INPUT.mdx b/docs/core_docs/docs/troubleshooting/errors/INVALID_PROMPT_INPUT.mdx
index c2b27cb31187..95d5c37b1517 100644
--- a/docs/core_docs/docs/troubleshooting/errors/INVALID_PROMPT_INPUT.mdx
+++ b/docs/core_docs/docs/troubleshooting/errors/INVALID_PROMPT_INPUT.mdx
@@ -2,12 +2,55 @@
 
 A [prompt template](/docs/concepts#prompt-templates) received missing or invalid input variables.
 
+One unexpected way this can occur is if you add a JSON object directly into a prompt template:
+
+```ts
+import { PromptTemplate } from "@langchain/core/prompts";
+import { ChatOpenAI } from "@langchain/openai";
+
+const prompt = PromptTemplate.fromTemplate(`You are a helpful assistant.
+
+Here is an example of how you should respond:
+
+{
+  "firstName": "John",
+  "lastName": "Doe",
+  "age": 21
+}
+
+Now, answer the following question:
+
+{question}`);
+```
+
+You might think that the above prompt template should require a single input key named `question`, but the JSON object will be
+interpreted as an additional variable because the curly braces (`{`) are not escaped, and should be preceded by a second brace instead, like this:
+
+```ts
+import { PromptTemplate } from "@langchain/core/prompts";
+import { ChatOpenAI } from "@langchain/openai";
+
+const prompt = PromptTemplate.fromTemplate(`You are a helpful assistant.
+
+Here is an example of how you should respond:
+
+{{
+  "firstName": "John",
+  "lastName": "Doe",
+  "age": 21
+}}
+
+Now, answer the following question:
+
+{question}`);
+```
+
 ## Troubleshooting
 
 The following may help resolve this error:
 
 - Double-check your prompt template to ensure that it is correct.
-  - If you are using the default format and you are using curly braces `{` anywhere in your template, they should be double escaped like this: `{{`.
+  - If you are using default formatting and you are using curly braces `{` anywhere in your template, they should be double escaped like this: `{{`, as shown above.
 - If you are using a [`MessagesPlaceholder`](/docs/concepts/#messagesplaceholder), make sure that you are passing in an array of messages or message-like objects.
   - If you are using shorthand tuples to declare your prompt template, make sure that the variable name is wrapped in curly braces (`["placeholder", "{messages}"]`).
 - Try viewing the inputs into your prompt template using [LangSmith](https://docs.smith.langchain.com/) or log statements to confirm they appear as expected.

From 078a7306d74301f8e25107bffd12d9751d1df590 Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Thu, 17 Oct 2024 09:02:39 -0700
Subject: [PATCH 322/344] docs: Change error code docs header (#7011)

---
 docs/core_docs/docs/troubleshooting/errors/index.mdx | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/core_docs/docs/troubleshooting/errors/index.mdx b/docs/core_docs/docs/troubleshooting/errors/index.mdx
index 2258714de1e1..aad0308b9c49 100644
--- a/docs/core_docs/docs/troubleshooting/errors/index.mdx
+++ b/docs/core_docs/docs/troubleshooting/errors/index.mdx
@@ -1,4 +1,4 @@
-# Error codes
+# Error reference
 
 This page contains guides around resolving common errors you may find while building with LangChain.
 Errors referenced below will have an `lc_error_code` property corresponding to one of the below codes when they are thrown in code.

From b7a50d986336a44446a74cb4d11ddb80a93e0f85 Mon Sep 17 00:00:00 2001
From: Brace Sproul <braceasproul@gmail.com>
Date: Thu, 17 Oct 2024 14:23:56 -0700
Subject: [PATCH 323/344] feat(openai): Support audio output (#7012)

---
 .../docs/integrations/chat/openai.ipynb       | 110 ++++++++++++++++++
 libs/langchain-openai/package.json            |   2 +-
 libs/langchain-openai/src/chat_models.ts      |  99 ++++++++++++++--
 .../src/tests/chat_models.int.test.ts         |  76 ++++++++++++
 libs/langchain-openai/src/types.ts            |  21 ++++
 yarn.lock                                     |  10 +-
 6 files changed, 300 insertions(+), 18 deletions(-)

diff --git a/docs/core_docs/docs/integrations/chat/openai.ipynb b/docs/core_docs/docs/integrations/chat/openai.ipynb
index f44f301dfff0..921b21f35330 100644
--- a/docs/core_docs/docs/integrations/chat/openai.ipynb
+++ b/docs/core_docs/docs/integrations/chat/openai.ipynb
@@ -1028,6 +1028,116 @@
     "console.log(\"USAGE:\", resWitCaching.response_metadata.usage);"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "cc8b3c94",
+   "metadata": {},
+   "source": [
+    "## Audio output\n",
+    "\n",
+    "Some OpenAI models (such as `gpt-4o-audio-preview`) support generating audio output. This example shows how to use that feature:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "b4d579b7",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{\n",
+      "  id: 'audio_67117718c6008190a3afad3e3054b9b6',\n",
+      "  data: 'UklGRqYwBgBXQVZFZm10IBAAAAABAAEAwF0AAIC7AAACABAATElTVBoAAABJTkZPSVNGVA4AAABMYXZmNTguMjkuMTAwAGRhdGFg',\n",
+      "  expires_at: 1729201448,\n",
+      "  transcript: 'Sure! Why did the cat sit on the computer? Because it wanted to keep an eye on the mouse!'\n",
+      "}\n"
+     ]
+    }
+   ],
+   "source": [
+    "import { ChatOpenAI } from \"@langchain/openai\";\n",
+    "\n",
+    "const modelWithAudioOutput = new ChatOpenAI({\n",
+    "  model: \"gpt-4o-audio-preview\",\n",
+    "  // You may also pass these fields to `.bind` as a call argument.\n",
+    "  modalities: [\"text\", \"audio\"], // Specifies that the model should output audio.\n",
+    "  audio: {\n",
+    "    voice: \"alloy\",\n",
+    "    format: \"wav\",\n",
+    "  },\n",
+    "});\n",
+    "\n",
+    "const audioOutputResult = await modelWithAudioOutput.invoke(\"Tell me a joke about cats.\");\n",
+    "const castMessageContent = audioOutputResult.content[0] as Record<string, any>;\n",
+    "\n",
+    "console.log({\n",
+    "  ...castMessageContent,\n",
+    "  data: castMessageContent.data.slice(0, 100) // Sliced for brevity\n",
+    "})"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "bfea3608",
+   "metadata": {},
+   "source": [
+    "We see that the audio data is returned inside the `data` field. We are also provided an `expires_at` date field. This field represents the date the audio response will no longer be accessible on the server for use in multi-turn conversations.\n",
+    "\n",
+    "### Streaming Audio Output\n",
+    "\n",
+    "OpenAI also supports streaming audio output. Here's an example:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "0fa68183",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{\n",
+      "  id: 'audio_671177fd836c819099b0110f5180a581audio_671177fd836c819099b0110f5180a581',\n",
+      "  transcript: 'Why was the cat sitting on the computer? Because it wanted to keep an eye on the mouse!',\n",
+      "  index: 0,\n",
+      "  data: 'CQAMAAMADwAHAAsADAAKAA8ADQAPAAoABQANAAUAEAAIAA0ABwAHAAoAAAAFAAMABwAJAAQABwAAAAgAAgAFAAMAAwACAAAAAwAB',\n",
+      "  expires_at: 1729201678\n",
+      "}\n"
+     ]
+    }
+   ],
+   "source": [
+    "import { AIMessageChunk } from \"@langchain/core/messages\";\n",
+    "import { concat } from \"@langchain/core/utils/stream\"\n",
+    "import { ChatOpenAI } from \"@langchain/openai\";\n",
+    "\n",
+    "const modelWithStreamingAudioOutput = new ChatOpenAI({\n",
+    "  model: \"gpt-4o-audio-preview\",\n",
+    "  modalities: [\"text\", \"audio\"],\n",
+    "  audio: {\n",
+    "    voice: \"alloy\",\n",
+    "    format: \"pcm16\", // Format must be `pcm16` for streaming\n",
+    "  },\n",
+    "});\n",
+    "\n",
+    "const audioOutputStream = await modelWithStreamingAudioOutput.stream(\"Tell me a joke about cats.\");\n",
+    "let finalAudioOutputMsg: AIMessageChunk | undefined;\n",
+    "for await (const chunk of audioOutputStream) {\n",
+    "  finalAudioOutputMsg = finalAudioOutputMsg ? concat(finalAudioOutputMsg, chunk) : chunk;\n",
+    "}\n",
+    "const castStreamedMessageContent = finalAudioOutputMsg?.content[1] as Record<string, any>;\n",
+    "\n",
+    "console.log({\n",
+    "  ...castStreamedMessageContent,\n",
+    "  data: castStreamedMessageContent.data.slice(0, 100) // Sliced for brevity\n",
+    "})"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "3a5bb5ca-c3ae-4a58-be67-2cd18574b9a3",
diff --git a/libs/langchain-openai/package.json b/libs/langchain-openai/package.json
index 89f49f9e84bd..3a92e4ccece4 100644
--- a/libs/langchain-openai/package.json
+++ b/libs/langchain-openai/package.json
@@ -36,7 +36,7 @@
   "license": "MIT",
   "dependencies": {
     "js-tiktoken": "^1.0.12",
-    "openai": "^4.67.2",
+    "openai": "^4.68.0",
     "zod": "^3.22.4",
     "zod-to-json-schema": "^3.22.3"
   },
diff --git a/libs/langchain-openai/src/chat_models.ts b/libs/langchain-openai/src/chat_models.ts
index 728d08eabed0..914c7135b0ba 100644
--- a/libs/langchain-openai/src/chat_models.ts
+++ b/libs/langchain-openai/src/chat_models.ts
@@ -16,6 +16,7 @@ import {
   isAIMessage,
   convertToChunk,
   UsageMetadata,
+  MessageContent,
 } from "@langchain/core/messages";
 import {
   type ChatGeneration,
@@ -174,8 +175,10 @@ function openAIResponseToChatMessage(
           system_fingerprint: rawResponse.system_fingerprint,
         };
       }
+      const content = message.audio ? [message.audio] : message.content;
+
       return new AIMessage({
-        content: message.content || "",
+        content: content || "",
         tool_calls: toolCalls,
         invalid_tool_calls: invalidToolCalls,
         additional_kwargs,
@@ -196,7 +199,17 @@ function _convertDeltaToMessageChunk(
   includeRawResponse?: boolean
 ) {
   const role = delta.role ?? defaultRole;
-  const content = delta.content ?? "";
+  let content: MessageContent;
+  if (delta.audio) {
+    content = [
+      {
+        ...delta.audio,
+        index: rawResponse.choices[0].index,
+      },
+    ];
+  } else {
+    content = delta.content ?? "";
+  }
   let additional_kwargs: Record<string, unknown>;
   if (delta.function_call) {
     additional_kwargs = {
@@ -372,6 +385,26 @@ export interface ChatOpenAICallOptions
    * @version 0.2.6
    */
   strict?: boolean;
+  /**
+   * Output types that you would like the model to generate for this request. Most
+   * models are capable of generating text, which is the default:
+   *
+   * `["text"]`
+   *
+   * The `gpt-4o-audio-preview` model can also be used to
+   * [generate audio](https://platform.openai.com/docs/guides/audio). To request that
+   * this model generate both text and audio responses, you can use:
+   *
+   * `["text", "audio"]`
+   */
+  modalities?: Array<OpenAIClient.Chat.ChatCompletionModality>;
+
+  /**
+   * Parameters for audio output. Required when audio output is requested with
+   * `modalities: ["audio"]`.
+   * [Learn more](https://platform.openai.com/docs/guides/audio).
+   */
+  audio?: OpenAIClient.Chat.ChatCompletionAudioParam;
 }
 
 export interface ChatOpenAIFields
@@ -842,6 +875,43 @@ export interface ChatOpenAIFields
  * </details>
  *
  * <br />
+ *
+ * <details>
+ * <summary><strong>Audio Outputs</strong></summary>
+ *
+ * ```typescript
+ * import { ChatOpenAI } from "@langchain/openai";
+ *
+ * const modelWithAudioOutput = new ChatOpenAI({
+ *   model: "gpt-4o-audio-preview",
+ *   // You may also pass these fields to `.bind` as a call argument.
+ *   modalities: ["text", "audio"], // Specifies that the model should output audio.
+ *   audio: {
+ *     voice: "alloy",
+ *     format: "wav",
+ *   },
+ * });
+ *
+ * const audioOutputResult = await modelWithAudioOutput.invoke("Tell me a joke about cats.");
+ * const castMessageContent = audioOutputResult.content[0] as Record<string, any>;
+ *
+ * console.log({
+ *   ...castMessageContent,
+ *   data: castMessageContent.data.slice(0, 100) // Sliced for brevity
+ * })
+ * ```
+ *
+ * ```txt
+ * {
+ *   id: 'audio_67117718c6008190a3afad3e3054b9b6',
+ *   data: 'UklGRqYwBgBXQVZFZm10IBAAAAABAAEAwF0AAIC7AAACABAATElTVBoAAABJTkZPSVNGVA4AAABMYXZmNTguMjkuMTAwAGRhdGFg',
+ *   expires_at: 1729201448,
+ *   transcript: 'Sure! Why did the cat sit on the computer? Because it wanted to keep an eye on the mouse!'
+ * }
+ * ```
+ * </details>
+ *
+ * <br />
  */
 export class ChatOpenAI<
     CallOptions extends ChatOpenAICallOptions = ChatOpenAICallOptions
@@ -958,6 +1028,10 @@ export class ChatOpenAI<
    */
   supportsStrictToolCalling?: boolean;
 
+  audio?: OpenAIClient.Chat.ChatCompletionAudioParam;
+
+  modalities?: Array<OpenAIClient.Chat.ChatCompletionModality>;
+
   constructor(
     fields?: ChatOpenAIFields,
     /** @deprecated */
@@ -1026,6 +1100,8 @@ export class ChatOpenAI<
     this.stopSequences = this?.stop;
     this.user = fields?.user;
     this.__includeRawResponse = fields?.__includeRawResponse;
+    this.audio = fields?.audio;
+    this.modalities = fields?.modalities;
 
     if (this.azureOpenAIApiKey || this.azureADTokenProvider) {
       if (
@@ -1190,6 +1266,12 @@ export class ChatOpenAI<
       seed: options?.seed,
       ...streamOptionsConfig,
       parallel_tool_calls: options?.parallel_tool_calls,
+      ...(this.audio || options?.audio
+        ? { audio: this.audio || options?.audio }
+        : {}),
+      ...(this.modalities || options?.modalities
+        ? { modalities: this.modalities || options?.modalities }
+        : {}),
       ...this.modelKwargs,
     };
     return params;
@@ -1241,7 +1323,7 @@ export class ChatOpenAI<
     const streamIterable = await this.completionWithRetry(params, options);
     let usage: OpenAIClient.Completions.CompletionUsage | undefined;
     for await (const data of streamIterable) {
-      const choice = data?.choices[0];
+      const choice = data?.choices?.[0];
       if (data.usage) {
         usage = data.usage;
       }
@@ -1264,12 +1346,6 @@ export class ChatOpenAI<
         prompt: options.promptIndex ?? 0,
         completion: choice.index ?? 0,
       };
-      if (typeof chunk.content !== "string") {
-        console.log(
-          "[WARNING]: Received non-string content from OpenAI. This is currently not supported."
-        );
-        continue;
-      }
       // eslint-disable-next-line @typescript-eslint/no-explicit-any
       const generationInfo: Record<string, any> = { ...newTokenIndices };
       if (choice.finish_reason != null) {
@@ -1283,7 +1359,7 @@ export class ChatOpenAI<
       }
       const generationChunk = new ChatGenerationChunk({
         message: chunk,
-        text: chunk.content,
+        text: typeof chunk.content === "string" ? chunk.content : "",
         generationInfo,
       });
       yield generationChunk;
@@ -1490,9 +1566,8 @@ export class ChatOpenAI<
 
       const generations: ChatGeneration[] = [];
       for (const part of data?.choices ?? []) {
-        const text = part.message?.content ?? "";
         const generation: ChatGeneration = {
-          text,
+          text: part.message?.content ?? "",
           message: openAIResponseToChatMessage(
             part.message ?? { role: "assistant" },
             data,
diff --git a/libs/langchain-openai/src/tests/chat_models.int.test.ts b/libs/langchain-openai/src/tests/chat_models.int.test.ts
index 7c3510b3543a..71c3bddc0225 100644
--- a/libs/langchain-openai/src/tests/chat_models.int.test.ts
+++ b/libs/langchain-openai/src/tests/chat_models.int.test.ts
@@ -19,6 +19,7 @@ import {
 import { CallbackManager } from "@langchain/core/callbacks/manager";
 import { NewTokenIndices } from "@langchain/core/callbacks/base";
 import { InMemoryCache } from "@langchain/core/caches";
+import { concat } from "@langchain/core/utils/stream";
 import { ChatOpenAI } from "../chat_models.js";
 
 // Save the original value of the 'LANGCHAIN_CALLBACKS_BACKGROUND' environment variable
@@ -986,3 +987,78 @@ test("Test ChatOpenAI stream method", async () => {
   }
   expect(chunks.length).toEqual(1);
 });
+
+describe("Audio output", () => {
+  test("Audio output", async () => {
+    const model = new ChatOpenAI({
+      model: "gpt-4o-audio-preview",
+      temperature: 0,
+      modalities: ["text", "audio"],
+      audio: {
+        voice: "alloy",
+        format: "wav",
+      },
+    });
+
+    const response = await model.invoke("Make me an audio clip of you yelling");
+    expect(Array.isArray(response.content)).toBeTruthy();
+    expect(Object.keys(response.content[0]).sort()).toEqual([
+      "data",
+      "expires_at",
+      "id",
+      "transcript",
+    ]);
+  });
+
+  test("Audio output can stream", async () => {
+    const model = new ChatOpenAI({
+      model: "gpt-4o-audio-preview",
+      temperature: 0,
+      modalities: ["text", "audio"],
+      audio: {
+        voice: "alloy",
+        format: "pcm16",
+      },
+    });
+
+    const stream = await model.stream("Make me an audio clip of you yelling");
+    let finalMsg: AIMessageChunk | undefined;
+    for await (const chunk of stream) {
+      finalMsg = finalMsg ? concat(finalMsg, chunk) : chunk;
+    }
+    if (!finalMsg) {
+      throw new Error("No final message found");
+    }
+    console.dir(finalMsg, { depth: null });
+    expect(Array.isArray(finalMsg.content)).toBeTruthy();
+    expect(Object.keys(finalMsg.content[1]).sort()).toEqual([
+      "data",
+      "expires_at",
+      "id",
+      "index",
+      "transcript",
+    ]);
+  });
+
+  test("Can bind audio output args", async () => {
+    const model = new ChatOpenAI({
+      model: "gpt-4o-audio-preview",
+      temperature: 0,
+    }).bind({
+      modalities: ["text", "audio"],
+      audio: {
+        voice: "alloy",
+        format: "wav",
+      },
+    });
+
+    const response = await model.invoke("Make me an audio clip of you yelling");
+    expect(Array.isArray(response.content)).toBeTruthy();
+    expect(Object.keys(response.content[0]).sort()).toEqual([
+      "data",
+      "expires_at",
+      "id",
+      "transcript",
+    ]);
+  });
+});
diff --git a/libs/langchain-openai/src/types.ts b/libs/langchain-openai/src/types.ts
index 5f5ca73809a5..1eb449443791 100644
--- a/libs/langchain-openai/src/types.ts
+++ b/libs/langchain-openai/src/types.ts
@@ -167,6 +167,27 @@ export interface OpenAIChatInput extends OpenAIBaseInput {
    * If `undefined` the `strict` argument will not be passed to OpenAI.
    */
   supportsStrictToolCalling?: boolean;
+
+  /**
+   * Output types that you would like the model to generate for this request. Most
+   * models are capable of generating text, which is the default:
+   *
+   * `["text"]`
+   *
+   * The `gpt-4o-audio-preview` model can also be used to
+   * [generate audio](https://platform.openai.com/docs/guides/audio). To request that
+   * this model generate both text and audio responses, you can use:
+   *
+   * `["text", "audio"]`
+   */
+  modalities?: Array<OpenAIClient.Chat.ChatCompletionModality>;
+
+  /**
+   * Parameters for audio output. Required when audio output is requested with
+   * `modalities: ["audio"]`.
+   * [Learn more](https://platform.openai.com/docs/guides/audio).
+   */
+  audio?: OpenAIClient.Chat.ChatCompletionAudioParam;
 }
 
 export declare interface AzureOpenAIInput {
diff --git a/yarn.lock b/yarn.lock
index fc0c198bcc6b..16478c17c332 100644
--- a/yarn.lock
+++ b/yarn.lock
@@ -12591,7 +12591,7 @@ __metadata:
     jest: ^29.5.0
     jest-environment-node: ^29.6.4
     js-tiktoken: ^1.0.12
-    openai: ^4.67.2
+    openai: ^4.68.0
     prettier: ^2.8.3
     release-it: ^17.6.0
     rimraf: ^5.0.1
@@ -35571,9 +35571,9 @@ __metadata:
   languageName: node
   linkType: hard
 
-"openai@npm:^4.67.2":
-  version: 4.67.2
-  resolution: "openai@npm:4.67.2"
+"openai@npm:^4.68.0":
+  version: 4.68.0
+  resolution: "openai@npm:4.68.0"
   dependencies:
     "@types/node": ^18.11.18
     "@types/node-fetch": ^2.6.4
@@ -35589,7 +35589,7 @@ __metadata:
       optional: true
   bin:
     openai: bin/cli
-  checksum: 8c83e2632f2c51fea0f9b059026239a46ad171feaedd1456019481136defd468e828b0b091c53da3ebb65da37c4bb76455142c64ea9bc664124c1a341f7f2b78
+  checksum: 2866e54ac1b34e074055dde7cc809bcc33d1172f0ab289dacd54ced04a62ab3c2b9f584fdb84ece981edc5c30939497af4e91fe33646f71d5c6ced5d7106a797
   languageName: node
   linkType: hard
 

From b3e1d0a311753c71c0d697c302274d51228c126f Mon Sep 17 00:00:00 2001
From: Brace Sproul <braceasproul@gmail.com>
Date: Thu, 17 Oct 2024 14:26:21 -0700
Subject: [PATCH 324/344] fix(openai): Release 0.3.9 (#7014)

---
 libs/langchain-openai/package.json | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/libs/langchain-openai/package.json b/libs/langchain-openai/package.json
index 3a92e4ccece4..f21c1d1d9c81 100644
--- a/libs/langchain-openai/package.json
+++ b/libs/langchain-openai/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/openai",
-  "version": "0.3.8",
+  "version": "0.3.9",
   "description": "OpenAI integrations for LangChain.js",
   "type": "module",
   "engines": {

From de837c5d45cf4810519959377ae44154eb115d6d Mon Sep 17 00:00:00 2001
From: Brace Sproul <braceasproul@gmail.com>
Date: Thu, 17 Oct 2024 15:34:00 -0700
Subject: [PATCH 325/344] Revert "feat(openai): Support audio output" (#7016)

---
 .../docs/integrations/chat/openai.ipynb       | 110 ------------------
 libs/langchain-openai/package.json            |   2 +-
 libs/langchain-openai/src/chat_models.ts      |  99 ++--------------
 .../src/tests/chat_models.int.test.ts         |  76 ------------
 libs/langchain-openai/src/types.ts            |  21 ----
 yarn.lock                                     |  10 +-
 6 files changed, 18 insertions(+), 300 deletions(-)

diff --git a/docs/core_docs/docs/integrations/chat/openai.ipynb b/docs/core_docs/docs/integrations/chat/openai.ipynb
index 921b21f35330..f44f301dfff0 100644
--- a/docs/core_docs/docs/integrations/chat/openai.ipynb
+++ b/docs/core_docs/docs/integrations/chat/openai.ipynb
@@ -1028,116 +1028,6 @@
     "console.log(\"USAGE:\", resWitCaching.response_metadata.usage);"
    ]
   },
-  {
-   "cell_type": "markdown",
-   "id": "cc8b3c94",
-   "metadata": {},
-   "source": [
-    "## Audio output\n",
-    "\n",
-    "Some OpenAI models (such as `gpt-4o-audio-preview`) support generating audio output. This example shows how to use that feature:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "id": "b4d579b7",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "{\n",
-      "  id: 'audio_67117718c6008190a3afad3e3054b9b6',\n",
-      "  data: 'UklGRqYwBgBXQVZFZm10IBAAAAABAAEAwF0AAIC7AAACABAATElTVBoAAABJTkZPSVNGVA4AAABMYXZmNTguMjkuMTAwAGRhdGFg',\n",
-      "  expires_at: 1729201448,\n",
-      "  transcript: 'Sure! Why did the cat sit on the computer? Because it wanted to keep an eye on the mouse!'\n",
-      "}\n"
-     ]
-    }
-   ],
-   "source": [
-    "import { ChatOpenAI } from \"@langchain/openai\";\n",
-    "\n",
-    "const modelWithAudioOutput = new ChatOpenAI({\n",
-    "  model: \"gpt-4o-audio-preview\",\n",
-    "  // You may also pass these fields to `.bind` as a call argument.\n",
-    "  modalities: [\"text\", \"audio\"], // Specifies that the model should output audio.\n",
-    "  audio: {\n",
-    "    voice: \"alloy\",\n",
-    "    format: \"wav\",\n",
-    "  },\n",
-    "});\n",
-    "\n",
-    "const audioOutputResult = await modelWithAudioOutput.invoke(\"Tell me a joke about cats.\");\n",
-    "const castMessageContent = audioOutputResult.content[0] as Record<string, any>;\n",
-    "\n",
-    "console.log({\n",
-    "  ...castMessageContent,\n",
-    "  data: castMessageContent.data.slice(0, 100) // Sliced for brevity\n",
-    "})"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "bfea3608",
-   "metadata": {},
-   "source": [
-    "We see that the audio data is returned inside the `data` field. We are also provided an `expires_at` date field. This field represents the date the audio response will no longer be accessible on the server for use in multi-turn conversations.\n",
-    "\n",
-    "### Streaming Audio Output\n",
-    "\n",
-    "OpenAI also supports streaming audio output. Here's an example:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "id": "0fa68183",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "{\n",
-      "  id: 'audio_671177fd836c819099b0110f5180a581audio_671177fd836c819099b0110f5180a581',\n",
-      "  transcript: 'Why was the cat sitting on the computer? Because it wanted to keep an eye on the mouse!',\n",
-      "  index: 0,\n",
-      "  data: 'CQAMAAMADwAHAAsADAAKAA8ADQAPAAoABQANAAUAEAAIAA0ABwAHAAoAAAAFAAMABwAJAAQABwAAAAgAAgAFAAMAAwACAAAAAwAB',\n",
-      "  expires_at: 1729201678\n",
-      "}\n"
-     ]
-    }
-   ],
-   "source": [
-    "import { AIMessageChunk } from \"@langchain/core/messages\";\n",
-    "import { concat } from \"@langchain/core/utils/stream\"\n",
-    "import { ChatOpenAI } from \"@langchain/openai\";\n",
-    "\n",
-    "const modelWithStreamingAudioOutput = new ChatOpenAI({\n",
-    "  model: \"gpt-4o-audio-preview\",\n",
-    "  modalities: [\"text\", \"audio\"],\n",
-    "  audio: {\n",
-    "    voice: \"alloy\",\n",
-    "    format: \"pcm16\", // Format must be `pcm16` for streaming\n",
-    "  },\n",
-    "});\n",
-    "\n",
-    "const audioOutputStream = await modelWithStreamingAudioOutput.stream(\"Tell me a joke about cats.\");\n",
-    "let finalAudioOutputMsg: AIMessageChunk | undefined;\n",
-    "for await (const chunk of audioOutputStream) {\n",
-    "  finalAudioOutputMsg = finalAudioOutputMsg ? concat(finalAudioOutputMsg, chunk) : chunk;\n",
-    "}\n",
-    "const castStreamedMessageContent = finalAudioOutputMsg?.content[1] as Record<string, any>;\n",
-    "\n",
-    "console.log({\n",
-    "  ...castStreamedMessageContent,\n",
-    "  data: castStreamedMessageContent.data.slice(0, 100) // Sliced for brevity\n",
-    "})"
-   ]
-  },
   {
    "cell_type": "markdown",
    "id": "3a5bb5ca-c3ae-4a58-be67-2cd18574b9a3",
diff --git a/libs/langchain-openai/package.json b/libs/langchain-openai/package.json
index f21c1d1d9c81..e842d776b63c 100644
--- a/libs/langchain-openai/package.json
+++ b/libs/langchain-openai/package.json
@@ -36,7 +36,7 @@
   "license": "MIT",
   "dependencies": {
     "js-tiktoken": "^1.0.12",
-    "openai": "^4.68.0",
+    "openai": "^4.67.2",
     "zod": "^3.22.4",
     "zod-to-json-schema": "^3.22.3"
   },
diff --git a/libs/langchain-openai/src/chat_models.ts b/libs/langchain-openai/src/chat_models.ts
index 914c7135b0ba..728d08eabed0 100644
--- a/libs/langchain-openai/src/chat_models.ts
+++ b/libs/langchain-openai/src/chat_models.ts
@@ -16,7 +16,6 @@ import {
   isAIMessage,
   convertToChunk,
   UsageMetadata,
-  MessageContent,
 } from "@langchain/core/messages";
 import {
   type ChatGeneration,
@@ -175,10 +174,8 @@ function openAIResponseToChatMessage(
           system_fingerprint: rawResponse.system_fingerprint,
         };
       }
-      const content = message.audio ? [message.audio] : message.content;
-
       return new AIMessage({
-        content: content || "",
+        content: message.content || "",
         tool_calls: toolCalls,
         invalid_tool_calls: invalidToolCalls,
         additional_kwargs,
@@ -199,17 +196,7 @@ function _convertDeltaToMessageChunk(
   includeRawResponse?: boolean
 ) {
   const role = delta.role ?? defaultRole;
-  let content: MessageContent;
-  if (delta.audio) {
-    content = [
-      {
-        ...delta.audio,
-        index: rawResponse.choices[0].index,
-      },
-    ];
-  } else {
-    content = delta.content ?? "";
-  }
+  const content = delta.content ?? "";
   let additional_kwargs: Record<string, unknown>;
   if (delta.function_call) {
     additional_kwargs = {
@@ -385,26 +372,6 @@ export interface ChatOpenAICallOptions
    * @version 0.2.6
    */
   strict?: boolean;
-  /**
-   * Output types that you would like the model to generate for this request. Most
-   * models are capable of generating text, which is the default:
-   *
-   * `["text"]`
-   *
-   * The `gpt-4o-audio-preview` model can also be used to
-   * [generate audio](https://platform.openai.com/docs/guides/audio). To request that
-   * this model generate both text and audio responses, you can use:
-   *
-   * `["text", "audio"]`
-   */
-  modalities?: Array<OpenAIClient.Chat.ChatCompletionModality>;
-
-  /**
-   * Parameters for audio output. Required when audio output is requested with
-   * `modalities: ["audio"]`.
-   * [Learn more](https://platform.openai.com/docs/guides/audio).
-   */
-  audio?: OpenAIClient.Chat.ChatCompletionAudioParam;
 }
 
 export interface ChatOpenAIFields
@@ -875,43 +842,6 @@ export interface ChatOpenAIFields
  * </details>
  *
  * <br />
- *
- * <details>
- * <summary><strong>Audio Outputs</strong></summary>
- *
- * ```typescript
- * import { ChatOpenAI } from "@langchain/openai";
- *
- * const modelWithAudioOutput = new ChatOpenAI({
- *   model: "gpt-4o-audio-preview",
- *   // You may also pass these fields to `.bind` as a call argument.
- *   modalities: ["text", "audio"], // Specifies that the model should output audio.
- *   audio: {
- *     voice: "alloy",
- *     format: "wav",
- *   },
- * });
- *
- * const audioOutputResult = await modelWithAudioOutput.invoke("Tell me a joke about cats.");
- * const castMessageContent = audioOutputResult.content[0] as Record<string, any>;
- *
- * console.log({
- *   ...castMessageContent,
- *   data: castMessageContent.data.slice(0, 100) // Sliced for brevity
- * })
- * ```
- *
- * ```txt
- * {
- *   id: 'audio_67117718c6008190a3afad3e3054b9b6',
- *   data: 'UklGRqYwBgBXQVZFZm10IBAAAAABAAEAwF0AAIC7AAACABAATElTVBoAAABJTkZPSVNGVA4AAABMYXZmNTguMjkuMTAwAGRhdGFg',
- *   expires_at: 1729201448,
- *   transcript: 'Sure! Why did the cat sit on the computer? Because it wanted to keep an eye on the mouse!'
- * }
- * ```
- * </details>
- *
- * <br />
  */
 export class ChatOpenAI<
     CallOptions extends ChatOpenAICallOptions = ChatOpenAICallOptions
@@ -1028,10 +958,6 @@ export class ChatOpenAI<
    */
   supportsStrictToolCalling?: boolean;
 
-  audio?: OpenAIClient.Chat.ChatCompletionAudioParam;
-
-  modalities?: Array<OpenAIClient.Chat.ChatCompletionModality>;
-
   constructor(
     fields?: ChatOpenAIFields,
     /** @deprecated */
@@ -1100,8 +1026,6 @@ export class ChatOpenAI<
     this.stopSequences = this?.stop;
     this.user = fields?.user;
     this.__includeRawResponse = fields?.__includeRawResponse;
-    this.audio = fields?.audio;
-    this.modalities = fields?.modalities;
 
     if (this.azureOpenAIApiKey || this.azureADTokenProvider) {
       if (
@@ -1266,12 +1190,6 @@ export class ChatOpenAI<
       seed: options?.seed,
       ...streamOptionsConfig,
       parallel_tool_calls: options?.parallel_tool_calls,
-      ...(this.audio || options?.audio
-        ? { audio: this.audio || options?.audio }
-        : {}),
-      ...(this.modalities || options?.modalities
-        ? { modalities: this.modalities || options?.modalities }
-        : {}),
       ...this.modelKwargs,
     };
     return params;
@@ -1323,7 +1241,7 @@ export class ChatOpenAI<
     const streamIterable = await this.completionWithRetry(params, options);
     let usage: OpenAIClient.Completions.CompletionUsage | undefined;
     for await (const data of streamIterable) {
-      const choice = data?.choices?.[0];
+      const choice = data?.choices[0];
       if (data.usage) {
         usage = data.usage;
       }
@@ -1346,6 +1264,12 @@ export class ChatOpenAI<
         prompt: options.promptIndex ?? 0,
         completion: choice.index ?? 0,
       };
+      if (typeof chunk.content !== "string") {
+        console.log(
+          "[WARNING]: Received non-string content from OpenAI. This is currently not supported."
+        );
+        continue;
+      }
       // eslint-disable-next-line @typescript-eslint/no-explicit-any
       const generationInfo: Record<string, any> = { ...newTokenIndices };
       if (choice.finish_reason != null) {
@@ -1359,7 +1283,7 @@ export class ChatOpenAI<
       }
       const generationChunk = new ChatGenerationChunk({
         message: chunk,
-        text: typeof chunk.content === "string" ? chunk.content : "",
+        text: chunk.content,
         generationInfo,
       });
       yield generationChunk;
@@ -1566,8 +1490,9 @@ export class ChatOpenAI<
 
       const generations: ChatGeneration[] = [];
       for (const part of data?.choices ?? []) {
+        const text = part.message?.content ?? "";
         const generation: ChatGeneration = {
-          text: part.message?.content ?? "",
+          text,
           message: openAIResponseToChatMessage(
             part.message ?? { role: "assistant" },
             data,
diff --git a/libs/langchain-openai/src/tests/chat_models.int.test.ts b/libs/langchain-openai/src/tests/chat_models.int.test.ts
index 71c3bddc0225..7c3510b3543a 100644
--- a/libs/langchain-openai/src/tests/chat_models.int.test.ts
+++ b/libs/langchain-openai/src/tests/chat_models.int.test.ts
@@ -19,7 +19,6 @@ import {
 import { CallbackManager } from "@langchain/core/callbacks/manager";
 import { NewTokenIndices } from "@langchain/core/callbacks/base";
 import { InMemoryCache } from "@langchain/core/caches";
-import { concat } from "@langchain/core/utils/stream";
 import { ChatOpenAI } from "../chat_models.js";
 
 // Save the original value of the 'LANGCHAIN_CALLBACKS_BACKGROUND' environment variable
@@ -987,78 +986,3 @@ test("Test ChatOpenAI stream method", async () => {
   }
   expect(chunks.length).toEqual(1);
 });
-
-describe("Audio output", () => {
-  test("Audio output", async () => {
-    const model = new ChatOpenAI({
-      model: "gpt-4o-audio-preview",
-      temperature: 0,
-      modalities: ["text", "audio"],
-      audio: {
-        voice: "alloy",
-        format: "wav",
-      },
-    });
-
-    const response = await model.invoke("Make me an audio clip of you yelling");
-    expect(Array.isArray(response.content)).toBeTruthy();
-    expect(Object.keys(response.content[0]).sort()).toEqual([
-      "data",
-      "expires_at",
-      "id",
-      "transcript",
-    ]);
-  });
-
-  test("Audio output can stream", async () => {
-    const model = new ChatOpenAI({
-      model: "gpt-4o-audio-preview",
-      temperature: 0,
-      modalities: ["text", "audio"],
-      audio: {
-        voice: "alloy",
-        format: "pcm16",
-      },
-    });
-
-    const stream = await model.stream("Make me an audio clip of you yelling");
-    let finalMsg: AIMessageChunk | undefined;
-    for await (const chunk of stream) {
-      finalMsg = finalMsg ? concat(finalMsg, chunk) : chunk;
-    }
-    if (!finalMsg) {
-      throw new Error("No final message found");
-    }
-    console.dir(finalMsg, { depth: null });
-    expect(Array.isArray(finalMsg.content)).toBeTruthy();
-    expect(Object.keys(finalMsg.content[1]).sort()).toEqual([
-      "data",
-      "expires_at",
-      "id",
-      "index",
-      "transcript",
-    ]);
-  });
-
-  test("Can bind audio output args", async () => {
-    const model = new ChatOpenAI({
-      model: "gpt-4o-audio-preview",
-      temperature: 0,
-    }).bind({
-      modalities: ["text", "audio"],
-      audio: {
-        voice: "alloy",
-        format: "wav",
-      },
-    });
-
-    const response = await model.invoke("Make me an audio clip of you yelling");
-    expect(Array.isArray(response.content)).toBeTruthy();
-    expect(Object.keys(response.content[0]).sort()).toEqual([
-      "data",
-      "expires_at",
-      "id",
-      "transcript",
-    ]);
-  });
-});
diff --git a/libs/langchain-openai/src/types.ts b/libs/langchain-openai/src/types.ts
index 1eb449443791..5f5ca73809a5 100644
--- a/libs/langchain-openai/src/types.ts
+++ b/libs/langchain-openai/src/types.ts
@@ -167,27 +167,6 @@ export interface OpenAIChatInput extends OpenAIBaseInput {
    * If `undefined` the `strict` argument will not be passed to OpenAI.
    */
   supportsStrictToolCalling?: boolean;
-
-  /**
-   * Output types that you would like the model to generate for this request. Most
-   * models are capable of generating text, which is the default:
-   *
-   * `["text"]`
-   *
-   * The `gpt-4o-audio-preview` model can also be used to
-   * [generate audio](https://platform.openai.com/docs/guides/audio). To request that
-   * this model generate both text and audio responses, you can use:
-   *
-   * `["text", "audio"]`
-   */
-  modalities?: Array<OpenAIClient.Chat.ChatCompletionModality>;
-
-  /**
-   * Parameters for audio output. Required when audio output is requested with
-   * `modalities: ["audio"]`.
-   * [Learn more](https://platform.openai.com/docs/guides/audio).
-   */
-  audio?: OpenAIClient.Chat.ChatCompletionAudioParam;
 }
 
 export declare interface AzureOpenAIInput {
diff --git a/yarn.lock b/yarn.lock
index 16478c17c332..fc0c198bcc6b 100644
--- a/yarn.lock
+++ b/yarn.lock
@@ -12591,7 +12591,7 @@ __metadata:
     jest: ^29.5.0
     jest-environment-node: ^29.6.4
     js-tiktoken: ^1.0.12
-    openai: ^4.68.0
+    openai: ^4.67.2
     prettier: ^2.8.3
     release-it: ^17.6.0
     rimraf: ^5.0.1
@@ -35571,9 +35571,9 @@ __metadata:
   languageName: node
   linkType: hard
 
-"openai@npm:^4.68.0":
-  version: 4.68.0
-  resolution: "openai@npm:4.68.0"
+"openai@npm:^4.67.2":
+  version: 4.67.2
+  resolution: "openai@npm:4.67.2"
   dependencies:
     "@types/node": ^18.11.18
     "@types/node-fetch": ^2.6.4
@@ -35589,7 +35589,7 @@ __metadata:
       optional: true
   bin:
     openai: bin/cli
-  checksum: 2866e54ac1b34e074055dde7cc809bcc33d1172f0ab289dacd54ced04a62ab3c2b9f584fdb84ece981edc5c30939497af4e91fe33646f71d5c6ced5d7106a797
+  checksum: 8c83e2632f2c51fea0f9b059026239a46ad171feaedd1456019481136defd468e828b0b091c53da3ebb65da37c4bb76455142c64ea9bc664124c1a341f7f2b78
   languageName: node
   linkType: hard
 

From 2f6a6ccd19ba51f9cec0af6a59de1102dd1267e6 Mon Sep 17 00:00:00 2001
From: Brace Sproul <braceasproul@gmail.com>
Date: Thu, 17 Oct 2024 15:36:33 -0700
Subject: [PATCH 326/344] fix(openai): Release 0.3.10 (#7017)

---
 libs/langchain-openai/package.json | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/libs/langchain-openai/package.json b/libs/langchain-openai/package.json
index e842d776b63c..30c53464f710 100644
--- a/libs/langchain-openai/package.json
+++ b/libs/langchain-openai/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/openai",
-  "version": "0.3.9",
+  "version": "0.3.10",
   "description": "OpenAI integrations for LangChain.js",
   "type": "module",
   "engines": {

From d01831fe0f14d7598059a1aa461eca0178302166 Mon Sep 17 00:00:00 2001
From: Brace Sproul <braceasproul@gmail.com>
Date: Fri, 18 Oct 2024 10:45:22 -0700
Subject: [PATCH 327/344] fix(openai): Include audio messages in request
 (#7015)

---
 .../docs/integrations/chat/openai.ipynb       | 153 +++++++++++++++
 libs/langchain-openai/audio.json              |   6 +
 libs/langchain-openai/package.json            |   2 +-
 libs/langchain-openai/src/chat_models.ts      | 143 +++++++++++++-
 .../src/tests/chat_models.int.test.ts         | 180 ++++++++++++++++++
 libs/langchain-openai/src/types.ts            |  21 ++
 yarn.lock                                     |  10 +-
 7 files changed, 506 insertions(+), 9 deletions(-)
 create mode 100644 libs/langchain-openai/audio.json

diff --git a/docs/core_docs/docs/integrations/chat/openai.ipynb b/docs/core_docs/docs/integrations/chat/openai.ipynb
index f44f301dfff0..083e64b88c27 100644
--- a/docs/core_docs/docs/integrations/chat/openai.ipynb
+++ b/docs/core_docs/docs/integrations/chat/openai.ipynb
@@ -1028,6 +1028,159 @@
     "console.log(\"USAGE:\", resWitCaching.response_metadata.usage);"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "cc8b3c94",
+   "metadata": {},
+   "source": [
+    "## Audio output\n",
+    "\n",
+    "Some OpenAI models (such as `gpt-4o-audio-preview`) support generating audio output. This example shows how to use that feature:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "b4d579b7",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{\n",
+      "  id: 'audio_67129e9466f48190be70372922464162',\n",
+      "  data: 'UklGRgZ4BABXQVZFZm10IBAAAAABAAEAwF0AAIC7AAACABAATElTVBoAAABJTkZPSVNGVA4AAABMYXZmNTguMjkuMTAwAGRhdGHA',\n",
+      "  expires_at: 1729277092,\n",
+      "  transcript: \"Why did the cat sit on the computer's keyboard? Because it wanted to keep an eye on the mouse!\"\n",
+      "}\n"
+     ]
+    }
+   ],
+   "source": [
+    "import { ChatOpenAI } from \"@langchain/openai\";\n",
+    "\n",
+    "const modelWithAudioOutput = new ChatOpenAI({\n",
+    "  model: \"gpt-4o-audio-preview\",\n",
+    "  // You may also pass these fields to `.bind` as a call argument.\n",
+    "  modalities: [\"text\", \"audio\"], // Specifies that the model should output audio.\n",
+    "  audio: {\n",
+    "    voice: \"alloy\",\n",
+    "    format: \"wav\",\n",
+    "  },\n",
+    "});\n",
+    "\n",
+    "const audioOutputResult = await modelWithAudioOutput.invoke(\"Tell me a joke about cats.\");\n",
+    "const castAudioContent = audioOutputResult.additional_kwargs.audio as Record<string, any>;\n",
+    "\n",
+    "console.log({\n",
+    "  ...castAudioContent,\n",
+    "  data: castAudioContent.data.slice(0, 100) // Sliced for brevity\n",
+    "})"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "bfea3608",
+   "metadata": {},
+   "source": [
+    "We see that the audio data is returned inside the `data` field. We are also provided an `expires_at` date field. This field represents the date the audio response will no longer be accessible on the server for use in multi-turn conversations.\n",
+    "\n",
+    "### Streaming Audio Output\n",
+    "\n",
+    "OpenAI also supports streaming audio output. Here's an example:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "0fa68183",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{\n",
+      "  id: 'audio_67129e976ce081908103ba4947399a3eaudio_67129e976ce081908103ba4947399a3e',\n",
+      "  transcript: 'Why was the cat sitting on the computer? Because it wanted to keep an eye on the mouse!',\n",
+      "  index: 0,\n",
+      "  data: 'CgAGAAIADAAAAA0AAwAJAAcACQAJAAQABQABAAgABQAPAAAACAADAAUAAwD8/wUA+f8MAPv/CAD7/wUA///8/wUA/f8DAPj/AgD6',\n",
+      "  expires_at: 1729277096\n",
+      "}\n"
+     ]
+    }
+   ],
+   "source": [
+    "import { AIMessageChunk } from \"@langchain/core/messages\";\n",
+    "import { concat } from \"@langchain/core/utils/stream\"\n",
+    "import { ChatOpenAI } from \"@langchain/openai\";\n",
+    "\n",
+    "const modelWithStreamingAudioOutput = new ChatOpenAI({\n",
+    "  model: \"gpt-4o-audio-preview\",\n",
+    "  modalities: [\"text\", \"audio\"],\n",
+    "  audio: {\n",
+    "    voice: \"alloy\",\n",
+    "    format: \"pcm16\", // Format must be `pcm16` for streaming\n",
+    "  },\n",
+    "});\n",
+    "\n",
+    "const audioOutputStream = await modelWithStreamingAudioOutput.stream(\"Tell me a joke about cats.\");\n",
+    "let finalAudioOutputMsg: AIMessageChunk | undefined;\n",
+    "for await (const chunk of audioOutputStream) {\n",
+    "  finalAudioOutputMsg = finalAudioOutputMsg ? concat(finalAudioOutputMsg, chunk) : chunk;\n",
+    "}\n",
+    "const castStreamedAudioContent = finalAudioOutputMsg?.additional_kwargs.audio as Record<string, any>;\n",
+    "\n",
+    "console.log({\n",
+    "  ...castStreamedAudioContent,\n",
+    "  data: castStreamedAudioContent.data.slice(0, 100) // Sliced for brevity\n",
+    "})"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e8b84aac",
+   "metadata": {},
+   "source": [
+    "### Audio input\n",
+    "\n",
+    "These models also support passing audio as input. For this, you must specify `input_audio` fields as seen below:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "1a69dad8",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "That's a great joke! It's always fun to imagine why cats do the funny things they do. Keeping an eye on the \"mouse\" is a creatively punny way to describe it!\n"
+     ]
+    }
+   ],
+   "source": [
+    "import { HumanMessage } from \"@langchain/core/messages\";\n",
+    "\n",
+    "const userInput = new HumanMessage({\n",
+    "  content: [{\n",
+    "    type: \"input_audio\",\n",
+    "    input_audio: {\n",
+    "      data: castAudioContent.data, // Re-use the base64 data from the first example\n",
+    "      format: \"wav\",\n",
+    "    },\n",
+    "  }]\n",
+    "})\n",
+    "\n",
+    "// Re-use the same model instance\n",
+    "const userInputAudioRes = await modelWithAudioOutput.invoke([userInput]);\n",
+    "\n",
+    "console.log((userInputAudioRes.additional_kwargs.audio as Record<string, any>).transcript);"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "3a5bb5ca-c3ae-4a58-be67-2cd18574b9a3",
diff --git a/libs/langchain-openai/audio.json b/libs/langchain-openai/audio.json
new file mode 100644
index 000000000000..300d41f31b73
--- /dev/null
+++ b/libs/langchain-openai/audio.json
@@ -0,0 +1,6 @@
+{
+  "id": "audio_67118ff3274c81909cd2868f46786059",
+  "data": 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unu0H7RHsQetF6lzpn+jH52bn3uaq5mzmQeZU5jfmeuaf5gjnduf055boGOnA6Ujq7eq264fszO357qLwLfLj85j1HPfd+DT6vvv4/EH+f/+fANkB8gIyBEUFgwadB7AIwQmwCowLSAzjDG0Nwg0kDksOfA6TDqwO1A7oDjIPQQ+MD5MPpg+mD4gPhQ9eD3gPYw+QD4sPmA+JD18PPQ/eDsMObw5iDk0OSg5kDk4OaQ4/Dj0O/A3dDaUNcQ1JDQcNAQ3EDMYMoAybDHYMbAxQDDIMCQzbC5oLPgvhClYK0wkgCZkI2Ac9B40G3QUtBV8ErAPFAgsCHwFwAKP/+f5L/pX9/fwz/KD7zvow+m752vg++LP3O/e09ln24vWk9UP1BPW79Gj0GPSs80Hzu/I38qrxG/Gg8A7wp+9A79Pugu767bbtC+2r7PzrYevL6gPqoOnd6K/oN+gX6ALo8edK6FLo6Og76fXpl+pW6yjs1ey+7W3uS+8i8AHxHfJI87X0P/bQ95v5KPvr/Gf+5/9IAXsCxAO6BPwF0wb5B9YI5gndCsUL2wyQDaYOJA/wDzoQqBDBEMQQ1RChEMsQjBDIELkQ+BAXETERaBFbEY0RVxFlESQR+hDBEG4QShD0D98Plg+ED2wPVw9bD0MPTg84DzsPHw/9DsgOkQ5KDvsNsw12DS0NAQ3NDKgMfQxXDCsM8AuvC0cL6wpcCtsJQAmZCAQIVgfUBiAGpAXqBEIEewOzAuwBFgFNAHH/rP7T/Qv9Q/yG+8/6JfqU+fv4ivgN+Kb3OPfS9mT29fWH9Q31s/RB9O/zifND8+vyofJf8gjyy/Fb8SrxufCN8Cjw5e+Y7zLv8O5r7iruou1f7fzsuOyE7ETsLOz36+Trx+um65Hriuuo69HrIuyS7A7tv+1k7kjv8e/g8KDxj/J682L0hvV59sH3zPge+kj7k/zY/Rf/cgC2ARUDUQSNBbUG1gfXCNEJsgqbC24MOQ3/DaMOUQ/UD2oQyBAvEXERoxHEEdER1BHFEb4RoBGhEXgRhRFgEWYRPRE1ESIRARH1ELkQrRBgEE0Q9A/CD2gPKA/dDpwOYg4cDvQNsA2FDTIN+AyDDDQMuwtcC+gKgAoaCrMJYwnyCKMILQjXB1YH6QZOBssFKwV9BOQDLQOgAugBXAGoABEAY//I/iT+df3b/Cr8m/v5+mz61flK+bf4Mvin9yX3uPZP9vv1nfVB9eP0hvQg9MLzbfMj89/yv/KN8mryO/IU8uXxo/Fu8SfxB/HN8MPwnvCS8IHwXvBc8ELwT/BL8GXwbPBw8HXwWvBg8EvwVfBy8JXw5/A58abxFPKF8gPzd/MT9Jj0OfXH9Wb2A/eg91H4A/nP+aX6jvt2/Gz9Uf4y/wEA2wCoAX8CUAMVBPUEuQWnBnkHcghSCTIKBwu2C2kM6Ax0Dc0NNg6mDgQPgA/ADyAQVhCOEKoQqBC5EIsQjRBaEEMQPBD1D+cPpQ+JD1oPDA/wDn8OZg4ODvANng1SDSENqgx1DOoLqAs6C/4KrQpRCgsKmglCCboIUAjRB2gH+AaHBgoGgAX4BGYE3ANDA7sCNALAAUUBxQBTAM7/Sf+b/vr9YP3G/Ej8wPts+/76i/r9+Yn5CPmI+Br4z/eV92r3C/e39mj2Ffbb9av1rvWz9bH1jvV39Uv1OPUF9e306/Tr9AL1BfUu9Tr1T/VD9SX1EvUB9Qz1E/Up9Tf1NvU/9Tr1RfVe9YD1tfXW9f71GvYq9lL2Yfae9rH23Pbm9vT2Fvc796X39/d/+Nv4a/nO+S/6ifrW+k/7nPsL/IP8//yD/ez9Qf6p/vP+ef/0/3oAAwF7Ae4BNwJ9AsICHwOFA/QDdgT4BKIFVwb8BowHBwhLCIwItAj7CE0JqwnxCRcKNAo4ClUKdQqbCsMKEwscCw8LxgpjChIKnQmICWoJpwmCCdIJmwmhCVsJPgk7CfcIPQnnCAUJrQiMCFkIPAj6B/sHzweGB10HyAbOBkEG0gZhBwcHjwadBYQEDARHA4YDHgP6As0CQwJWAogBBgHZ/8n+1v4H/43/fP59/dz7svxk/Gn84/zp+yP8hPpM+lb5afkr+TL5RvpA+sL6o/mP+eP2ZPbj9jv4o/ll+iT5G/eW9cr0y/bo+Kn5Avre91H3yPWX9Qb2Hfb19db23Paq9hT3yPah9U71MvbB9w/5efmL+u75A/qS+Rf7o/yz/tT/GP6u/JH5HPv4+gf9Bf7yAGP/nv1K+2f8Xv8hAMwCQv/w/br41fqj/00DTgIi/I31E/WL/aUC5QmXCooCRf1x+Vv//whLCtkHtQQ1BJAFgAdoBwsKzAlkDNMIgAe/B1QIkQ15CjsH9ASACH0MmAwQCYEFNAdwCyQMTwsaCSsCnQZWDHoE4gImC2EOAwm9ANX+iQUIDAwJcwVeBAQHoAXbAHQDJASxCAIFEwRKBVoFHggfBwMDFQHnDLIAf/+QD8X+MgAlAfwBXwh9A28BPvkcAx8Iigqv+7z4TfuBBJ4MF/4i/0D8vvxU/hwEnwLlADr9hvP4+hoCIQyk+Y3vDf8m+T4D6P5l+YAEkvW8+BcBB/84+lb82fRTBjL9Svl5/KP0jASL+5r5t/h/+Lb+awAC9JD8NwCf+dT9MfbOAvgAQQC/9i7ytwlIABP9sADh9DH8WQaxBL/3Zvqd/IwF0wjo7Nf6WAToB534jPNqAnYBXAJx/fP3/vZ+D9H8+Prf9O0AqA1S+df3T/hqCr4FaACv8Dn5KQpGA2sBnfwE8L0D6AV8CIn67vF7DNH6EAoR+icAywOiAgwA3vUPBwb/HAi5AQ3yEgXfCukFceu1/CYblwgv8lvocgZ9Gf4OYu/b5V0M3RmC/D/+GvB7B7wXOPRU+pP3sg9CCETwrf6D+lECgxim/Gvt+/foA8oW9gNf9M7pY/y+FxoEa/tL9qzwaAfREpf/WfCw9H7/5BcV+uL3qfAeCv4KI/wS8SH8RxX29En3/f2jDGr8guljD4f/L/lC/W0DE/9q/9v4uwTvAPjy6xFx9xj0MvjWCbUM4e9o+CT8yQr8A0r4Qv+N7F8VzfwK+Vf26/vuChn4YQBk/dr9Q/Q5BdQSWul19S/5xBhdEZ/RjO5VJb4O6fQh1mcIYiH69I/w3/XwCz4GRwAt5rcN2QVv+0v5Y/eMD57uexCY6xP9hgbEAKEH0uIEBkgPSfgF89UJJP4z+KwAmAg29XIELviV/roHnvzT/FvyNRKbAMfty/eiDlIIQ/UR8pP4FhOrC6PtgfLz+KMgcgVa6HXjkxWYJ2blet+6/e41PPTQ4Anp8x2NMILPle66/jEnHwR158LwPwb0GSb6h/aW9bAMfwgP+D33Cgk4A/n3z/2C/1YdNtaIDUARA/NdCyvuLQd8CdUESf+V6KwH2yFC85PmExM8AhYFMvgDCbv5cAMhCmzy6gnp/vn2tgHuAJMQXvf+8kv/xg9QC6fyd/mD/IwTrwCD7HgFsAna/5/4cAMHCKYAofoKBvMFEPROGGvvFPryDfgFdP0w7ZgLxAyt9xr79v8kB0EF6QGz5/IPngzF/6fvdf3bDo4PkvWg53ITsgngBrnkfeRRTUniNuWbBhALgRd37yXuhgLAEhsTUOEn+fwLGg62/9DvzgSq96MQPvm2/fz0gxCr/2DwWhPk7u8QWfQyBH4CbvgLCz72YQpk6+gS5fdpBoT/8O0VEqH1DxGr8tP2cQ+YAgL0eARyBdXzgQ0s8j8GJgef8ewOa/yv9SIEygNV+YQNku10+3cYKvFlBqb8PPWuFz3z3/piDC76PP198FcsrOeQ6kUTFwhvEDTRLgg5HdIJ2d4Z+RwTuQmr+L3r8RZR8ngGeA0C7ej8xQq8C9vzNPqj/ecJGBKF7yHtQQpHErL6BOx8ByQCqQ2V8cj5Yg28/Zr+7/J7CCQH8vS79CYVSAOd5t0Evxjx8Y//CvycAWABgvzyDK7dRBliBYgEAe5O+QUNsQzXCj6/AiAtEhEB2eP5+3cM/hGrBB/JeSK8ClP/VOzn/HANgwRP/uj7lPRdBKsSzP0J8tb1Tv9NLaLkNeFNBFMqKwY9x4UGoCOIDL3kVu9dEyEbYOMo9XQPChN97w/ysA7oDQb4MOeMDz8KlgMt8IX7QgzsAloHpek5AS8SJASM9svyjwv4CpX8E/+AAKjqvCbu/UHhYwvCDm0I4PCh+LMKjhPT95volxL0BIb6nguM+XXyvA6qEyLu0fhj9PsicQYV3q77fBgBFh3kifqD9hgp5v253JkLVhg3/nHqDA1J8sIglvDh6IgZDfwbCKr5p/ym/xMba+om+W8lFORxAFIGrA3g9gry6Q14/M8N5uvTA74SDfPu/IkF+PyYElfr7PbMIaTppf65Efn33Pwf/E4E/AlY+Brx5wvEEwPk/v9oDDkCTwJiAh/OsjhjFuPBJ/5/HgIXl+Pi4wIVySnO47HmUg5tH2rzOuXfBJ8UKghH6ZL+CQOyD7n3E/hR/XQSKP8i6p0LNwEaDr7mk/9fF2v9HOoX/iYTpQvm56Ln3B3YFR7qH+J+EAEYP/nS87TouSJkD9nhfPOlDd4KHgnv3Fj/AR3C/u385edUB/MXvAG24Bf+fB0A+BT9uOhnDNAdlu5G3hEZOwmy/vH+5uJ4HyP+Rvbt8x0NJBH+6X7y4xB0HRDTygU7EQsIvOi69YAgoAB14fEG7BI7A7jwguMxKKEI8eCg/64LZQzb9n72l/VAD5QZkuPL8G0FJBgpDlXQCAU0J1fkJQyv9EUAZwie/iECt/BGD6IBvPb8BbUJjO1PCWD3vRAt9eTyVRNh8GMXIvXK3psmY/gE9gELCOxbBi4G5gNK8oD5yRA3A1XyPfnjDW4GI/u98MYJyf1EEb3uFPUqFLn2dxDD7d/2eBdK/7TwTvlMBz8PWfsF9f/6TwzHDF7yWfJsA+MepOVv88MgWerrAIoDwPYhFBzsRfrpIWTZAxGUCm/wrf5vFTb3leQFHmn7ivlt93v+dCHn10YHwRY79DEF1OZ2Gin1OQpUA8bZoBzdFHjjfvQuDHodidrhBdgO2/XpGZXTURDGDYD2NRQL3QQHhyJv7gLzKgflBZMCjP2L858FPQuUBOXo8AtC/fMPwwM/2hMe7gwh33cQbRBS7DDv6hYuAj8ARussCNsT1+HDIfboRwGBC033wRBW2dkcqhYE2WkAcA/ABw/1jv23B/H7XgB4CNf2fPsrC4XxlRnI7ob75Rky3SUbsgvy1lUbZPofC+H86d0aME7pjAjH7p/9JCWP6Dv7KgCZA/kV9uts9tQLQgrpAtDjYgYlEbQGFfQT4BQa9hWc9lfkff0CJ1IHTNTpBgoZzwB58/QB+f7yATkGw+iDGqT1hvzA/b/y4B6r79L83vw5GW7wJek7Kq75gO2F/C4BfRKR+abl7Rkc+Cj3Vw6o8yEMbfnG/Y32zwpgC6Lt9Avt7E0M2A+V8gHtagzBEc0BGN97BG4nSdvY/Xf/0gZuCKX1ZPSdEEb0JAqxFNXHWiDgEQrrDgBX8bkaHOx9A/gDuP9P9xL7tih94qLutBRGDt3qAf3TBH4FVgEp6sIUqPqTAjQAHfCBHHfwWPUvCe8PuQCF1L4TnBOHG7/If/W5NJv1BwiQyPYNP0FJ3vTTbBtnEKz0kQkv6Sn+WRoJ+xz6kvhA8jQpQPkD2YkadwSg/ZgHSeyf/2kQvQiA99ruUwCOHIMDPtUwCK8SyhXe3CfzexV5FbQIibTiJRoqt/Bd2AHyAkQ/9WbbPf09H30D++dnCp74TP9ZGO/krvJGGaD8bPDpDu/7MPXyFI319/f4Dk4NitknCgcnxOsf4nAFdUHh4p63oi3ZPV/O6OqgA5sOgSCY4Yjregm8GFAKauBs96EQIAlE8378NgCdAKMVZe+V8ugJPQ3q9JD5MgAj+n0e79+RDTrzCg0/FO/UTR659TgB2Qee4+AXYP4l9S8RsdnPHO0V6N5Y/TEGWQkH/LkAPus4DfsViOp29PcPVwPt+/L0rQ8fCiLS0S/v+/Hk5Afq/rj/MgzEAIvU5SRhE5jib/NcEs0VNeJ3650nZQrI3VD8tAn7F/r3h+aP7tdCjAjXoYYdyza09gvRQf9yKln9V+aYBTT+TQUPCmLipQRjFzvpwPdXEinyHAsM/cv0sgfQBv8C0u1IClr1WCEt5ireczrh+HXoFvp4D1kWYuZU77IVJgK19zP73w2l/xzvogc7B3cIU/QK4gUnzw1N5iTt0BfZCHjwdfZj+9kYc++EA2/vkgkIEIn7pvh78hMp0ucF6o8gu/sb/asCy+zPEvoMePt97Kzp9DXbC7TL7PxuJrESbdg79ioj+Pt8AwXxPfRDCDcV6wdv2ewD4hgS//j06/O0CX0ViuqX+EILLQen+1L1swN7CmT/nPHYBSsCNBNm6u32MRe1B/D1IOAzGc8GMATg8+z7NhQ2+FoAlf9I/mUF7fEq/Qoke94x8csWlBC1C13SaQYXIHbz0Ash4Zf9iCTrBXbcGu/BJCEUCPVayLUPZTbp3YnxKwo++esXRvaf7RQRYgRT+kb6IQRa/v/7iwhDAkP68PWcBYcZMPUD9zH0qxlHFtbEVwmuKWYNc8NR8qg+JPrT+KXfzwZQKv/rJPTPCCT86wRJBu/8Tvz3+JkUhPse7qEVZ/NMBQoTeusd808LtQphCGrmwvzOFlz8LA/T7e77VR7j7lQBcAgE7/sKMQZi/g7wpQyKElbURhMiGHfeuv1NCSIOMOfHAHf2mxPlEy7gCOb6ImYiyuBl7VP0hzHB/v7iS/bKBrMnqvDg36b9KCO/C0TjVfQgFsASWvbn46gDLBplC23tOdPLFgYs9QMtxQLmzTpuFRTr5OM8+Qkbchbh76LGfRMDLS7ruOLIA90SehNe79fswQvmCpAFO/FG/JEEKvUUCXwKHQou4yHqex4zICbyOdafA60s+f3A3J38KxSdGiHhTeJKE+Ia+Qa1v5j19jyCDVfXZueyH24T/ufc8F4GsQsj+5jxSwGsBSEO/PCY8zESDw917jH7jAq8+DD7cQdqDur1EvbzCXgHFQ1W8NvyBw6WCKn4G/y3Czb+DO7E9lIRP//4//b3YAMuCNL5NQaL/aoFOPyQ8+MMRAprBCb71O9KADQPSQ9T/mzs0QG9BioC9wVD+dD3BAs9DfL+Du59/sAcpvz+8kv8wQpwEEX6x/CO7agQ5hSL9V3vhv1uD3INM+5N8XQLUguK+jD3lA6ABNb0I/kEAWMJ9QJPA0f7zfSfCyALYv6d+v7zb/9oB9gNEgSM74P2qwvqDbT7EfqS/oMMKgE49Ub6twWBEmv70+26+u8Y3hDR7Ovq3gFdDm0FVPsZ9Xf3mf0XCfMCFQCM/Vn9i/93/hgD4QCH+RzyJPyQBWcCDwLq+Cf2GQAyB9YIlf3K+fv/wwbtAgb6jvtZA10Bx/7E/GMBVwMQAtkBPfUo/zgOwAEL8G/1nwcoCSb76Pd4/mMCHwD2AEAFIv/N9y7+tQkiBVP7fPfF+Hv/PwowB/X5GfeWAGQHGQEJ+n0AxgVj/LT5sQadBdf9z/7K+eP7OgOSC10CPvRSAJ4CxAOHB4z9lwLjAHj8MgaH+0b6pgDSAGwCWPpG/roC9f62/Dv+if1f//4AKf/2/wL8rfrk+8n8gP5gBqcEjPxj/sL87f3HAPcBTALf//T87fpCAXoCnf1x/Of53gH1B2kB+PuQ+Yv8DwDU/fT9VQCuAGsA6/qy+2kBrAEaABf9cv/GB04FOv+n/cz+4QUzAxsA9gBz/p7/PAKXACj/Mf8N/6wBzP/y/vn9zvsd+xL6F/0+A4gBqfus/Hv8bv3dAJMBXAFLAPb+lP6TAIQCEQJ7/uP6KP9mBXIFywDJ/Fv9SP9MAxIEPgBKAUkB8/9sAeMBtwEyAAj/zP++AM4AfwCWABsAngDEATIEmQY9BXYAOf2f/+UAxgC9/kP8Yv2y/goBNAICANb+jP/M//8ARwFu/0b/1/4I/qf+Pv8PAMX+6/3v/8IBxwEBAdn/v/48/xMA1P8B/mj9ZPx6/DD9gv0Y/u79Rv6I/Kb8vf3d/Vf9PvuA+k37qfwj/KL7Q/tV+ln74vvO/E79jPxF/AX+0P/U/5YAdgB5ARID8AKFAfMBdgJqAjICpAHqAikEXAS6AicD6gXRBuoGTwe/BqQG+AfBCS4LgQo4CawK/QzwDcYNrAw2Db8Ndwx4DJENeA95D1cOOA4BED8QRw1HDPEL6AsjC3gKnAlHB/sDrAKsAcH/Bv05+/j5+Pfx9tP1ZPW79bf3zfh++uf67/lD+Z/3k/bT9ED0iPTZ83DyE/Fu8Yrx/vAB8ZPx2PL58uPxifCz7uLsIOv16HjmlORi42riAeL64fPhKeI446jki+Y76IXoM+g6567mBebG5OPituGj4afhnuJJ40blgudz6xPwefSm+JH8ZwFaBwkQ0BcKIIUlkymBLBwuqS8CMPcw3S/fLt0q1SalI6QhzCBJIIQgVx7gHKMYMxQlDo0IvgVCBOkD6gHL/yP64PXx8ZTxEvUJ+fv9KgCuAgcE3Aa0CVoLpA3sDhwRwRBEDrEJbAV0BT8HNwoaC1kLlAnRCH4HIAWaBF4CrgHv/jz8qvnT93H29fTY9Kr0SPfu+V77nvqW+UD57/rn/IX9Df6x++/4nvXr86zyTfJ48cLw4vFV8TLx2O/57k3vbvAC8kDzcfIl8Gftp+mQ5vXiauCd3V/aw9ef1unW+dcl2wPeXeA24o7k0+gV7i7xZfM69HL29ftJAZ0IJA9aGGoh2ivkNDE6BzxOOcU0ES7LKEAkKiLUHz4b2xP0C1MHOwjADFwRJxQ1ElINVQfTAij/n/yg+cD2nfVO9RH2Nvb09v343P3TBPcL8BFrFSEYkhnpGEYXMBaCFyIZzhlKF+YStQ03CbEHnghsC9MMygznCTMFzP/9+kX4GfdI9wP3S/bW81fxJvB68TT1r/mz/eQA2gMZBegEnwNhAnoC8AIzA8sC7gG8ANj/6/7+/cv9HP5Q/gb+f/wr+o/3P/VS8/PxefCt7nfszulf51LlReSf477jV+M049niJuJp4V/gkuAd4VniROOZ417jIeMU5KfmaOsE8V73L/5PBIgLtxJsG4Ikri1lNVA6pDqTNOYrvR9TFxARFw8/D3cOKA0gCUYHcQXIBzkJggsLDPUJ/QZtADr7I/VV8Q3uVO2y7lfzu/r1ATkI1goXDRkQOxWVGo0eqh/8HgQdlxnDFdEQ2AxDCm4J+QhCCN4G4wR7A2IBYf/h/G76XvjI9mz1N/N+8Jztauzp7W7xMvZd+gv+VgGKBJkGCwcGBuoEzQTzBCEFMwTUAgcBFf+e/QP9Uf3m/WT+Fv1O+iD26PHy7kPtouyG7Cfsp+uF67Tqp+kF6HvmPebm5oXoDerO6hLqo+hn5mvk+OIo4sriLOM/5JbjT+Mv4+DkP+jV7C/zg/p2A6sL2RP1Gr8iZioAMjE39zhINi8vFyVXGVEO2AXmASwBvQMBBvkHOggrBxsGlAVhBm8H0wdxBVwAOvk68v7tv+w47z/zovjg/c8DUAoBEdMW6RrNHCEd8xysHG4c+RvIGicYHBTPDusJlQZhBYMFPQV+A8gAFP6d/AH8Ffud+WT3pPVe9Pjzr/MR9C/1APel+Yv8NABHBAQJ1gz2DmIOQww2Ct0IiwggCOsGagRtAYH+Gvya+p/5Evn19wr29PKC73HsX+o36V/oEehq6Azq0OtR7YHte+wm6/TpUup/63LtEO/y73/vv+0s68TofOfM5jLnjOcY6MjnI+dq5pjmXuhS7GHye/k+AUMJrhFSGkcjJyvxMRA27zf/NYIwOycNG5IOOgMU/G75wvtJACUGqAnPCgkKMQeUBlMGOwe+BqoD8v0j9zbxuu1X7tLx2PdW/r4Ebgu3EW0XihvLHeodzxxGGzMZgBfIFXYTJhCcC1wG/QGC/2b/1AAnAh0CCQHF/1j+7PxG+4L5dfj899L3ovcw90H3R/gG+nD8H//0AVwFeAgvCycMkwsPCrMIsAccBgsECwGE/mf86/pN+eD3OPbY9HTzv/H87wnuYewf623qMeqi6rzrSe0x76nwZPGU8XXx1fFH8tDyK/Nf83XzwvL28MvtD+qU5kXkLeM/43njCOOV4hTi6+Ii5eHooO0N8xf5mv+YB5gQHBu9JbEuFDVbNxY2HTFkKSsesRH5BVb9mvmr+Xf9BwKTBtQIJAnUB8kGeQdTCcYKYAhcAon5CfLY7IvrI+298NH2mv1JBSwMKhMXGR8erSCdILYeLBx8GsoYahYMEgkMiwWFAPf9rv3T/ooA3gF9AsQBDwBJ/tj8cvxH/D38hPum+hj6dPp5+5r80v0f/3gBqQR+CEgL5wyvDI0L/Qk0CIUGogTxAj4BAQDQ/sP9kvz0+g75ovYu9PXxSfAL7/Tte+wM6xHq1OnD6nLsYe6L8Ljy9/T+9nD43vh7+GL35vVn9NfyYvG475Dt5Oo76MLlFOQe47/io+Ke4uriVOO95OvmG+ob7s/yb/jO//MIfBRWIVEt6zY1O7U6ujRNK+0fVBTvCY8BEPwA+Un5l/v3/g0CMgO6AwMEJwU8B/MIDgnPBlUCrvzp9lny1e8n8JDyCPdJ/foEXA6DFzQfliPxJM4j8SFsHx4c8RdyEosMWQatAPb74viy9574vvqh/X0A9gLrBM0FiQUhBEcCjQB8/zT/bP/R//f/BgBxAEgBvgKTBIkGdQgmCjwLeAuSCggJ/gYGBRsDdAEhACj/kP6v/X38zPo9+Zn3+fXI84vxQ++o7X7sautm6tXpROq360juSvHF9Ab4zPoK/M/7SPo0+PT1vvPA8cbvOO6t7ELrd+ng55/mw+Vy5S/lY+Ve5Y7lXOUV5Wrlguav6XXuI/YMACANlRtqKqI2mT2MPto4OC9QI2cYzg6LB90BV/1u+g75jvlz+8L9xv+jATYDbgWLB3wJQwpBCeQFKwDM+ezzuPCp8DbzQvhI/vQFBw4cFsscfCE0JKUkfSN6IFAcVRcMElwMbQYTAFf6+fXs81/00/Y++hL+1AHsBDwHIwj3B+kG5AXbBCkEPQM8ApUBcgHzAcoClgMsBOsEkwVWBpMGgwYsBuMFdQWXBDIDTQGw/1n+WP1Q/IH78/q7+qf6DfoR+Y736vX789Hxse8B7kztfu1U7ljvuPDS8pn1hfj5+i/8Xfxr+6v5MvdP9JrxTO+w7ULs/uqU6WnoPucY5rbkSuM/4kfhFuHx4MLhzeJ/5JTm2Olh72r4lgWVFRMm1jOaPEQ//TsQNBspHB3kEScIuQAL+yn4ffcF+VH7Q/1L/q3+v/9sAQwEFQaYBzUH3QWyAvP+o/oT9/b0qfTG9kP7DQKjCu8TSBzwIokmnyfwJV0iPh1AFxoRSAutBdIAZfzl+HL2+vQA9VP2Gvnq/EABWwW1COYKuQtaC9sJrwdKBUkDRAJdArcDpQW8B2cJQwpoCs8JvghBB5cF6ANbAuAAhf8i/t78kPtu+ov5D/k7+R76LftE/Nf86vy0/B38Z/s/+pf4kfY59AHyYfCn7xrwh/Gu89b16vdz+VL6cPpy+bX3m/VE8yLxhe827jjtKOwZ66Xpl+id57jm8eW25OPjZOJy4cjfSN5L3TzdUt9/5Pbts/tiDcUfODAVO9w/HD76N20uvCKFFt8KtQHv+mH3kvW89dL2c/jg+Qr7rPxQ/+8ClAYzCQIKaAlFB/IDpv/C+rT2ZPTZ9Bv4Ef5BBsEPARmyIKIl0CdTJ7kkTiDMGgcVdg+ZCtcFTAH1/Df5hfb79Hr0hfXe95r71//IAyQHTwltChMKYwjzBeID9AJqA/gEAgc4CSwLmAw1DeIM3AsrCsUH8gQeAv7/tf41/o/9+vz1+wf7bfoo+oH6KPs5/FD9Hf5//ur+Bv/O/rP9qPsI+Wf2QPTS8hnyDfLM8gr0nvUi93T4ZfnW+fn4Y/fK9D7y8O/q7TrsseqA6droS+hB6ILoU+k06jzqSekB50bkOuGD3T/ZX9V905HWpd7b6zP8aw1EHnor6DTxN/s2wDFUKhAhRxZEDG0DLv4L+8P5x/jh97/3Y/gR+jL8Mf9sAtwF4AfMCJAHPQXbAVH9vfiL9AfzTvTX+N7/LQhZES8aryG5JtQoByjMJNgf2xm3ExoObAk6BUoBdf1S+kv4Zvc+97P38fhL+9L+tQI4BtgIJgpECu8I+QbmBO0DZQTdBd8H2wkrDFAOSRDOEBgQzQ3dClkHXQOk/2L8Zfog+W/4n/c593P3c/gE+qD7fv1O/zkBgwJrA6ADsgNEAyACcgAh/kf8h/px+UH4m/cn95r3o/cB+MT3h/eE9wD2MPR+8K7tUus56jfpueg46Ijo0Okd6xXtHu4g8B/wAfBH7H/nA+Ep2mTU7s43zRXPdNeG5BL18gXrFRkjtixaMikzlTBbKp8iQBktEJwI6QIXABf+Yf1O/On7DfyK/Kb9r/5UAL4BTQOxAy4DRgF3/vb6YPeZ9LzzU/Vn+WP/xgYHD7cXih9wJT0o3CfnJCkgxxoiFVUQLgwBCWgGHQR6AlgBkgCD/xT+W/xL+3H7mfx+/rH/vgDOALQAZQAFAGYAeQGUA+AF1gjTCwUPpxEmEx8TKhE1DnAKwwZrA70A+/7G/U393PzL/Ln89PwH/Q/92Pyr/Nz8Bf2j/cL9Pf5u/tb+Iv8j/+b+Qv7y/YH9tP2g/en9zf30/Wn9kvwC+5j4y/Wy8oHvYuw36nboOejA59bnvOec6LTqwO0n8VfzTfTD8svvo+nB4cTXhs0PxjXCE8VlzXvbruxA/30QyB5lKYQvbTGgLlsoZx9MFi8OLQgBBG4BTgCT/53/Pv/M/jn+zv2i/bD9AP6F/nT/1v9h/2b9yfoW+H/2WvaZ98f6zP/rBhQPexe0HtwjgybfJbwilB3YF6gSNg7hCtII+AeVCJkJKgq5CdcHHgXgAeD+hPww+zX7Efxb/YL+mP/bAFICsQOoBF4FbAY3CL0Kmw3zD3ERpRGREF0OKgvFB4gEAAJKAFb/Uv/f/wEB9QFpAiQCNgEJAKD+aP0l/H37RfvU+5H8Wv0F/kj+Z/4b/qj9Ff0N/Uz9Ff79/pD/FABbAN3/w/4g/Kj45fRM8YvuAuz16drnjuaj5WfmbufS6anspO/V8qH0TvWd8mjt+uOV2ILMgsJAvQO9WsM0zuzdM+/RAS0SDx9lJ+4pfihRIj4bBBOEDCUI7wXuBUMHagnfCtoLTAqfB44Db/9g/ET6xfnA+Uj6PfrM+ZX4FfeO9bz0N/WL90b8pgKWCmwShBmKHjQhTCHzHlEbyhaLEhUPJA3nDFYOhxCKEq4TEhMdEWsN4AjeAxH/WPvb+Pf3UvjL+eP7Wf5OAL8BqAJMA0MEkQViB2QJmAubDUAPNRA7ED4PXw3qCl8IDAZYBK4DjgMhBMgEWQW2BW4FcwTRApQAT/6J/EH7+Po6++77BP3D/Sj+Q/5f/nP+vf7//kj/TgDAAY8DHwWKBRkFVQOaAL78p/is9FvxW+4465roKeba5b3mB+ny6gbur/BE9Fv4Tvmf+D3zbOrU3hbSuMXlvNq4JLptwdDMPNy77Xn/Sg4mGDAdLR3HGiAWqBC/CygIWgeoCPELJxD5E80WDBfpFF4Q1gquBHP/g/q/9hL0qPKM8gHz5fNG9Pr0x/Wc9zr6Fv5sAmUHUAzoEKgUGRcpGN8XqhYYFa4T3xLvEhYU7xX0F1QZtxmzGFsWfBJdDZwHEgKw/af6ZPk1+Rn6yfu5/dT/cAFnAq0CqgK3AgUD7ANeBSsH5giECtoLHA37DWQOWQ6oDegMGgxpC6YKpAldCMEGUQX5AwQDSQKCAa8A1f8S/1H+rf3F/P/7Jvuc+k/6bfo6+1D8O/74//cB3QNiBXoGvgY+BqwEBAMNAYX+dvu29hTyY+3+6bTncOaH5R7mWujN6+jxOfaF+2f9VvuW9c7q6931z53DkLl4tCS1QLwzyYLZQ+qz+QAGiw7iEkwS9Q3fB4ABxv3v/N3/mgbpDhoYMh+aI0kk7yFjHLUUgQsQAkH6lPSh8Uzw3/Df8Z/zS/WQ9rD3v/gh+uL7Pv7lAB0EUQdvCo8Mlw3PDQ4OIw/tEFETExbHGKAbCB6jH9MfQR4XG7QWkhGDDBoIhwT/ATgAl//O/6cADgK8Au8C8QF1ABP/C/7E/Un+c/9ZAdsDdQYyCXwLQQ0QDg0OUA1tDO4Legt0CywLtgogCp8J6ggzCCcH3wW9BPsD4AMDBDwEhQPFAcv/X/30+z76ZvhH96D29vcB+8P+5gLDBj4JHQuZCmoJsgZcA3f/yvq59i7zBPIK8WPwxu567CHq8elB6+zujfR9+YT+6v8w/pv4M+9R4xDVq8aIuqOzrLPCuufGr9V65V704f+dBrgHhgMW/PLzy+w76hXsefM//1AM1hnIJJIsSS+8LCslcRrpDmEEKvzV9ir0/POc9bT30/kp+wr77/lL+GL2gvWt9e/27fiO++z9eQD2AiAFpQcYCqcM2A9pE1MX8RrlHYofmh+BHlUcZhmAFkcTCxB6DRQL3wl7CQsJpghCB1EF5gKmAD3+OPy++h364vq3/Ij/aQJbBUkHNQm9CfMJwgneCF4Ilge0B4QIUwqDDIMOTg8GEKMPGg83DgoM+AnSB/MFgAQvAxsCrQGCAWYBIwDb/qr8U/s3+qT5mfnC+vL81/8NBGAG1QnaCqsLQApfBx8D1/2z+Wj04/Gt7dXsZuwb7gXxMPQt+Hv65/2y/WH+x/t3+GDzg+uC4qbXfM5Bxe3AiL74wGHH1NAt3XvopPLU97T5s/Yo8aTqS+R/4ZniLOkr9A0D6RKpIe0sjjIfMgksqSETFWsIpf1R9pTzjfXi+hsCQghBDLoMtgmbA7v7W/Pk6yPnC+X65iDs5/MJ/aAFqgw3EakT4BMJE3QRfg/qDlYPeBFMFc0YKxwpHg4f0B4BHrMbtBg/FekQQQ1HCfQFTANNASMALP/X/rv+Ov9MABcBDAL1ARAC6QG7AXkB4QAhAKX/QQACAbQDfwYkCtANhRCVEqUTxxN9EtkQRw1kCsgHzQbIBlwHYQfqBmwGAAU/BFICwQCq/n79KfzL+/H7Ovzh/WP+6/8oAXMDWgZsCPoIHAcEBHwAkvxX+G3z5O1l6lPpW+u/8EP32P2QA90G8wbgBOn/0/i48GnnON5m1yvSrM+8zWTMHcx/zYzRR9eT3VfjjOia65rt1O0a7ATqlOdG5mTn6uuz87j+SwvYFrwgASfDKXwoAyPYGQQPPwRn/Fv4//db+wYB0wckDlMSfRIaD5MHbP2P8k7oouGV38HiPurR9DcAFAvlE24YDBlrFXkPFgn0A4gBuwLGB3wPWRlVIp0pcS0aLdMonSG+GHgPGghuAt7/KgByArwG4wojDvMO7Q2tCkwGCAFA+/T26vPo8//1/fl//o4DmwfYCqcM7gzjDM0LMgsRClkKXwrqCzAN9Q1SD3kPYBH8EeQSGBLBD78MPgjhBLYA3f2o+6D63/vX/RwC7ATVB2oIIgeJBYYCVwAv/jT9qPzG/S7/OgDYACD/O/xW+EX0I/Hc7unuUvC09Ez64v/vA7gETgLH/Fr2Su0H5jfeSdlq1rDUT9Ul1YDWwtUL1kzVH9YI2Xzc5uHG5CnoB+nw6bTpbenx6XLrhPC/9z0CcQ23GDMhDybWJSshHhlGD2kGuv+t/A/+6QJQChESgBfjGNMVRQ6+A1L40+yU5PbfjOBH5kDvCfr6A3gLDw87D8wLjAbRAFX71vga+Xn9jQWuD20azCNcKhwtSCypJ30gKxjVD1wJkQWcBOYGLQsPEJUUzRaNFrYTLA4UBy7/4veD8ubvMfAZ8/33fv0WA2gHzQk2CmkIcQUbAnD/jP6//80CRgcwDB4RNBXrF9EYmhesFAAR3gxyCYgGeARCA/kCwANfBXoHuAjYCUcJBgjpBcMC4P9f/SH85vsd/Yf+6QDUAtcDdAMkAd/9ivn79E7wWO1v7KDu1PIk9/H7o/4eASQCSADb+9P0Pe2n5abh5N3r3MXdUt2v3ynfPN9p3NjZZ9Xi0RbSZ9Ij2bze7+Qn6Xrqz+ow6sPqjeoF7tDxrPmLBEIPWBpMIHIi+h4KGeYQ6gk3Bb8CxQS6CF0OjBR5GN8YLBU3DNMB4fb47ufprugL6iDu1PQz+6sBPARhBDYB/PyV+Gn1uPTb9bX6nADbCO4QvhjWHj8i8yKZIEgdyxgZFRkSaRBqEMARZRSFFyAaGRsuGtwWRBI3DDgGJgCc+9r4RPjA+cb7nv4zAJ4BNwEVABL+g/v3+ab4KPmO+hv+TgJfB/wLVg/CEZUSrxKHESgQIQ5GDecMzQ1yD8IQ6hH9EfkQ3w5pDI4JdAeWBX8EpANNA+kCuAItAhkB5f9Q/v78tfsa+xT6p/k6+Af3KfVV8wTy5PCV8aLxJfS/9XL40vm5+Y74JPYF83LvuuzA6M7neeWO5bPlnOTC5Bbhst7P2ZTX4dWA1gzaNdxS4TrkHuez6BHn+OPu3vXc9t2Z5Z3wif1/C3UVYR65IEkgnRrSElAL6QQkBNIFEg1lFFMc+CCTIfge9BZGDqgC1fgV8YTt+O6M81L6n/+QAz4EBgMAAB77c/aA8WTv2O8T9I76bwJOCo0QDhazGDMamhkOGAUWlhNgErUReRPNFfsYdRu9HGMdWhymGtUWEBJbDCUHgANtATwBqgHbAq8DHQSCA68B5/5T++n3LPXn8570Ifcj+4T/ygP8BjgJ/wmhCV8I0gYkBnsG0AhdDOAQBxXhFygZTRhcFlUTRhBBDdgKiwkrCSAKBAsKDP0L+woeCQEGvAKj/m/7WfjO9jv2wfY9+CT55Pml+JT2fPNh8AbuQOwB7FzsNO4B8OXx6fI78uvwoe3n6rDnmOVc5MnjF+QX5K7kwuOT43Hhxt8M3qLcid2C3sHgROKV41HjPeOM4TLgOuA/4eTnY/Ad/nsK9RYJHY0d3xkaEAkLtAKHAo4DegmIE70c7SVzJ48ldhsREacEWPs79pX0BfiV/TUEVgnUC7EJWQS1+yrzQeyV6VjqLe+P9eT8qQRJCtgO1w8sD3sMIgrLCBkJGwybD6UU/xjrHMAfsCAPIB8dOxmZFDcR+g5uDuAOpw+XEAURJBGfDxYNiAhRA+P9IPld9hb1PPbt96L6Df3U/sz/Kv+u/Q37LvlE+ID5L/zB/7IDhgcVCwkOBxCXEL0Q7Q+pDzsPHw9MD8AP3xDqESkTPxPCEvIQHA7pCqsH5gS+Ak8Brv/8/vP9H/1U/FH6P/h09anydfBv7rXsfOti6rjpxeni6SPqPeo/6p7phOnJ6O7naecB5j3lkOQg5LzkauUD5q7mk+Yi5u/lYORL493hreBd4VXiBuT85FLmWeZA5o/okOjU7f3yCvkOBDcKGRPuFfQVAhH9CnAG/gOUCYwN7xawHEshuyN3IYkbiRIECcoAUf9E/1AF7QmyDVUP2QyXCEYBCvqb8tbuF+6/8BT31fzxAlkG2QbyBiwEpwMDAtQCAgU7CBsOthJ8GC0bqxzIG5wZfxeUFfMUaRQcFX4VTReHGKwZbBlMF3UU/Q+KDEkI4wS3AWb/gf5z/jT/hP99/wn+YfzR+bH33/Xp9FL1hvaH+Y/8ngCpA4UFZQaSBS4FGAVDBqsI5AsjDysSdBSsFRoWBRVyEwIRYA/+Da8NvQ31DNMMIwtqCrQIXgamA6H/Yfz3+M/27PSF83PyLPEa8JLuvexu6p7n1ORs4vrgqOCQ4f3ikuTG5UTmFeYm5aPjEeIv4RjhguJF5Kvmbeih6VzqAuqQ6XLoi+ey5ivnVuep6drqHOzH7Ebsgu4O8O70uflEAIYGrAwHEe0R9hHADFoItAQNBGAIJhHKGMAgiSO3Hw4cRRJSDKMEqgHCAcsEZwz3D5UV6BGvDX0E9fqf9aDwAfMi9az6JwBbBCsIdAhZBgsC8f1G/Az+GAJ3B1QMkhACFAQWORchFmIUHRKuELgQ6BEwFLMW5BjIGdoZhBjFFloUOhHTDQoKYAetBZ8FQAYDBkkFdgOGAXr/rfzC+dH2YfXd9e/38fpa/dr+Xv+H/5b/y/+E/9b/VABGAnwFEglGDfAPzREbEosRaBAND+kNag2pDbEO9g/cEOAQKA9vDHwI2AS7AUP/zv2K/Er7C/pP+CP2UPOg7y/s4eh35hPlOeSh48nizeHb4GvgT+D138TfZt+y3yrgseBJ4YHhj+JD4+vk0uUi5xToyugK6mDqEusL6y3rQ+uM69Lr8uxf7vjvx/FD8231gvgP/H8BdgZDDMgPShJ4Eh8QVQ5PCboI2weoDHEUjxxAIhUjkB1xFXMNdQUhBMgC8AbvCiQPihITEhIPSAfy/nz26PH38dv1ffxEApUFOgYuBWcDWAHU/hX8VPzM/kEFQgwEETcTOxJIEcUQ+hDUEMQQkRDiEa0TDBa8F4UYfRjlFoMVEBMgEXQOfAupCG4GuwU+BlkHTAclBh4DAgBN/ED51PZu9eX1pvf9+vT98//G/yL+w/s7+gb6fvsw/mwBQQVBCBwLpQwODaMMQAvsChkLwwyPDg0Q7BDcEKUQfA/zDXILnAjcBcIDQQKFAWIAIP8r/UH6cPfk8+Lwne1i6r/nd+V35Jfj5OKx4crfRN463A3bYNos2m/bfNwe3hzfnt8D4PLfVeAZ4aviqeTp5uvoHOpu67jryOyr7UDule8O8IHx6/L59NX2ifib+sf8MgHfBBALyQ4nE+UUeRTsE1APwQ3ECSsLQw0WE5oamx/DIaIesRe3DoQI0gEXA4UCPAiaDA0QRRMzD/4LTgKT+0D0w/FH86/39P73AywIfwjUB3EEVgE5/Qr7l/uW/gsFbAtHEV4U+BSlE6sRAw+ZDYoMpg3vD/gSVBZ5GNkZ6RgFF/kTvxAoDu8LRQoKCdsH0Af2ByYIvQcaBR0CNP4z+/b4Qven9rn2Ovh4+tb8Sv4e/rf81fo6+fv4vPnq+9n+MgLgBZkItAozC7IKugkACTcJAgp7C+QMeA6SD0IQAhB8DkAMOgl5BiEEWgJHAXcAyP+V/sD89PmM9vXyHu/D66vodOYT5R3kjONs4gnhMt833UDbYdlY2A7YQNni2ufcht5H35/faN8933ff19834Q3jm+Vb6N7qaO2y7urvru8W8JvwA/LO9MH3APwKAJQESQhjDH4P6RFCFIgUohVGFHITCBKOEf0R0hMSF1gaZx+QH7wgIhorFLQMNwYOBrkEhQoCDCsQVxDqDQEKnQES/Df0V/I98Wf2HPyJAu8GfAZuBYIATP4o+6D6nvtF/scDagm5Do4RvxGfEGsPHA/hD34R7xIwFZEWdhiBGRsZZBgjFtAUQhMJE80SLRK1EPkN9QqgB0kFXAOkAsABigHHALz/YP7C+0H5RPa79F30rPUi+MH6Cf0U/mT+ov39/Gj8nPy5/VH/4gFhBB0H4wjTCcgJDQmGCEcI0wjdCdUKgwt1C5cKXAk7BxIFjQJxAAP/GP73/Uz99PtB+aD1lfGY7W/q7OdG5tnk2OOG4kjhgt9o3UHbINnU1+/W9dYv18nXTdg02RnaZNvo3D3exN+H4G7h1+GQ4sTjMeUH6Ojq6u688jb2cfky+0H9pv7EAJQD5gZNC4kPPBNZFjEYBhnIGN0X6hbtFsAXWxrzHNgfqCG2IYghYh73G28XDxQ4EE8NKgtDCc0I6Qd9CA0HzQaABK8CmgCu/cD7nviZ92D2efcf+dv7ff7HAJUCZwMbBCcEpgSIBPcE9AWoB5gKmw15EOISYxQSFkcXXxjGGDUY/hYpFUITkBH3DxEPfg7EDmwPNBB4EHMPMg1rCUQFGgER/h/8WfuW+1f8Z/08/qP+IP4D/U/71fnc+JH4EPnM+dD62/tN/dv+dgAFAhcD5wN1BNwEOAVNBRkFwQS5BOQEmgUyBs0G6AY9BiAFLQMkAbP+f/xi+qv4FPcG9vH07vOd8sXwoO4Y7O/psecC5mvkBePF4ZTgmd/D3iTeZ93v3GLcStyF3Abd4t2c3nffOuAR4drh0+L140DlE+cV6dLrn+4B8vn04vdC+kL8k/6ZAEgDeQUuCF0K3wzLDpsQ7xHfEsgTaxR8FY0WFxhrGfwa2RuYHI4cMxw8G9MZARjGFWgT9xDGDqMMAgtpCXYImQdMBwMHzgZ8BrUF4gSlA5ICfQGzAC8A6P8IAGwAIwEBAgMDAwTrBNIFxwbBB6gIdwkZCosK4woeC2sLogvtCy4McQyhDLMMvwxwDBEMcgvSCiEKgwnuCE4IrgfsBicGWwWxBAUEfgP8Ap0CRgIHAsEBcQEWAaAAJwCj/zj/2P6d/mP+Rf4r/iD+GP4V/gv+9f3r/c39qv10/Tb97Pyj/FL8/fur+2r7N/sP+/P65vrj+uT65/rV+sL6lvpb+gX6r/lK+dr4ivgl+OT3kvdm9yX3+Pa49nr2M/bw9bj1V/UP9aD0WPT186XzRPPl8pvyQfIW8tTxy/Gn8bDxqfG78eXxAvI+8mPysPLe8iDzWvOT88rz/vNN9JD09vRT9cv1TPbq9of3PPj5+ND5pvqH+2v8VP1A/h7/AwDaAMMBmAJ2A0cEIgX4BcsGoAdeCB8JyQl+Ch4LxgtcDPAMbA3jDUoOnA7hDhgPRA9jD3YPew91D2sPUQ86DxIP7Q68DpMOXw4oDu4NrQ1rDRgNywxyDB0MyAttCxgLwgpsChcKwQl1CRwJxwhtCBYIvAdiBwUHngYyBr0FUwXSBFcE2QNRA9UCTQLUAUsB0gBJAMr/Sf/J/k/+x/1O/c/8YPzq+4v7Kfvb+pT6Vfok+vb50vmt+Y75ePlg+VL5O/kx+SP5GvkT+RX5Ffkc+Sn5N/lK+WH5e/mY+bf51Pnx+QD6EvoZ+hr6EPoE+u/52PnE+ab5k/l/+W75YflM+Tj5J/kN+e/4z/ix+I/4aPg/+BP47PfG96n3hvdy9173S/dB9zT3Ofc890L3Tvdg92n3gveM96H3rPfJ99r39vcb+EH4cfin+PD4Pvmb+fr5cPrn+mv78fuH/CT9vf1q/hT/xv9+ADwB/AG6An4DQAQEBcMFewYzB90HhAgjCcAJTArSClMLyAs5DJ8M+wxODZgN1w0RDkIOZQ6KDp0OrQ6vDrQOqw6mDpYOfw5wDlsOPQ4aDvgN0g2nDXoNSQ0PDcYMgAwxDN8LhQsfC6wKOQq0CTIJoQgbCI4H+QZqBtYFRQWsBB4EiAP2AmYCywFGAagAJACK/wL/bv7n/Wf94fxy/PH7ifsW+776Y/oQ+sb5ePk/+f742Pik+Hz4Xvg5+CT4BvgG+PH39ff19/f3A/gT+DL4Rvh0+JL4v/jo+Bn5Qvlr+aH5wfny+Rn6Q/pm+oj6rvrO+vf6Efs3+1L7dPuP+6L7w/vZ+/b7//sZ/CP8Mfwy/D38QvxA/D78N/w+/C38N/wo/Cv8Ivwi/CD8I/wh/Bj8HfwX/Br8F/wb/Br8Ifwm/Dn8Pvxd/HL8kfy6/OX8If1Q/Zj91v0s/nX+yf4l/5D/9/9YAMwAQAG6ASwCsgItA6kDKgSgBCUFmgUYBoQG8QZcB7wHHwhsCMkICglUCY0Jxgn4CRsKRQpaCnoKfwqUCpMKmwqOCowKewpiCksKJwoJCtgJsAl2CUgJBQnFCHkIMAjpB5UHQQfgBoYGGAa6BUUF2gRjBO8DcwP5AoECBQKNAQcBlwAcAKD/K/+4/kL+1f1l/ff8hPwl/Lv7U/v9+p/6Sfrx+a75Wvke+dv4qvhy+Ej4Ifj699r3v/ev95v3kveI94X3gPeP95L3qfe199L36vcN+Cr4UPh5+KD4zPjz+Cr5TvmG+ar54vkF+jr6XfqG+rX63PoG+yr7Vvt2+6n7y/v7+xv8SPxp/Iv8qPzK/O/8Cf0o/UD9Vf1s/YX9k/2q/bv90f3Z/ez9+/0F/hj+Iv42/j/+V/5h/nX+i/6d/rX+xf7o/vr+Jf84/2P/gv+1/93/FQBOAIEAwgD2AD0BgAHSAQoCYgKjAvgCNwOJA9QDIwR0BL0ECwVOBaEF3gUoBnAGpAbsBiAHXAeMB8AH4gcLCDIISghlCG0IhgiGCIwIjQiKCIEIcAhiCEsILwgUCOUHvgeCB18HFQfoBp4GVgYNBrsFcQUMBcoEXgQVBJ0DUAPaAn0CEwKuAVAB1gCKAAUAxv89/+7+fP4o/rv9Yv0S/an8Yfz7+7/7Y/su+9f6p/pk+jT6/fnV+aj5e/lk+T75J/kE+Qb54fjk+Mn40Pi++ND4z/jZ+Ov47/gP+Rr5QPlI+Xb5j/m6+dD59vkd+jz6dfqR+sj65foh+0X7ePup+9D7Cfwk/F/8fvyx/NH8Av0n/Un9bv2N/bT90f30/Q7+MP5O/mb+hf6d/rz+0P7r/gH/Hf8y/0X/Y/92/4//pv/A/9r/9f8PACkASQBlAIgAqQDNAO0AFwE6AWkBiwG5AdsBDQI1AmUCkwLBAvACHQNRA3sDrQPUAwUELwRcBIMErgTSBPgEIAU/BWQFggWkBbwF1gXxBQcGGAYnBjkGQwZMBlUGWAZdBlYGVwZQBkcGOwYqBhoGBAbvBc8FugWWBXUFTgUnBf4EygSiBGkEOAQBBMsDjgNSAxYD1wKXAlICFwLTAZIBSwEJAcAAdQAtAOz/o/9g/xn/2f6S/lH+C/7Q/ZP9Vf0c/eX8sPx//Ev8G/zx+8X7n/t3+1j7O/sh+wf78/rb+sv6wfq7+q76rPqo+qz6sPq1+r36xvrS+t768voC+xj7KvtD+1r7c/uN+6r7xPvh+wD8Gvw9/Fj8d/yV/LX83fz1/BT9L/1R/XH9j/2v/cz96P0I/if+RP5d/oT+nv7C/tr+9v4N/zT/Sv9n/4f/pP+//9r/9f8SAC8ATgBnAIQApwDGAOIA/QAdATgBVQFqAYoBpAHBAdQB7wEKAiECNwJKAmACcgKJApwCtALEAtQC5QL2AgUDDwMgAyoDNgNCA08DWANcA2MDaQNwA3UDfwOEA4UDiAOJA4YDgAN9A3sDdwNzA2oDZANWA00DRAM5AyUDFgMLA/kC4QLMAr8CpwKLAnECWgJFAicCDgL4Ad0BuwGgAYIBZgFLAS0BCAHqAMwArQCMAGoASgApAAcA6//J/6v/jv9v/1L/Nv8Y//L+1/6+/qD+iv51/lT+O/4j/hD++/3l/dH9vf2q/Z79lf2F/Xj9av1e/VX9WP1V/Uz9S/1I/Uz9Sf1P/VP9Yf1g/Wb9eP18/Yb9k/2g/a79vv3K/d395/31/Qf+Gv4r/jj+Qf5W/mP+dP57/oz+n/6q/rr+wP7S/uD+7P74/gr/Gf8n/y//O/9K/13/Yv9w/37/jv+Z/6H/sv+z/8b/0v/k/+7/8v/8/wwAGAAkADAAPgBFAFEAVwBlAHYAhQCMAJEAoACwAL8AygDXAOMA6gDwAPsADwEVAR0BIwEuAT4BRQFOAVcBXgFoAXIBfgGEAY0BkwGaAaQBrwG2Ab8BxgHMAdsB3AHhAeYB5wHnAeEB6QHlAeMB3QHaAdwB0gHOAcsBvgGyAa4BoAGRAXwBZQFSAUIBMgEWAQIB6wDTAMEArACWAHsAXwBCACoAFwACAOn/yP+w/5r/hP9x/0r/Kv8Q//X+3/7E/qH+gf5l/kz+PP4m/g7+9f3b/c79uP2s/Zr9hf1u/Vv9Uf1B/TT9IP0Y/RP9Cv39/AT99Pzr/PH87/z6/P/8Av0I/RX9JP0r/Tr9Q/1O/Wv9f/2d/bD9wf3X/fT9If5A/mH+fv6k/tX+AP8t/2D/hv+x/+D/EwBIAGcAiACnAMQA8QAIASoBOwFIAXEBigGiAbMBvgHPAdgB5wHmAe4B7gHoAfQB/AEQAiICJAIuAjICPwJJAlUCXgJmAnoCkAKhArACtwK9AtEC1QLvAgYDGwMqAy8DPQM9AzUDJQMTAwMD6QLSAsICoQKJAm8CWAJFAjMCFAIGAukBzgG3AZ4BhQFeAU8BOAEoAQYB8wDoANoA2gDdAOQAzgDLAM8A1gDyAAUBGAErAToBRAE+ATYBCwHfAKkAfgA6APX/pv9d/zv/D/8K/wv//v7y/tL+tP6S/nP+UP44/in+DP4G/g/+Gv42/l/+hf6z/tv+2/7R/qb+gP51/n7+rv7P/tb+vv67/qb+ev6G/ov+eP5Z/uv9s/1f/Sb96fzP/Jf8Dvyx+5b7nPtW+yj7Rvtn+6T7tvvT+xH8E/w5/Iz7avsm+4X7r/rg+hr73vvS+1H80Pxb/SH+WP7i/VD+SP+A/lP/bAF1AjQAff53/yoC+QJOAAz9hP5mBFADYwFoApYD7QAo/9X95PrA/MT9fv4u/tj8HgCtADb+Vv0J/fb+3f6t/Xz/qfwU/W7+Qf3e/OH8q/8P/4b9wv4W/A/7YfwH/oT8efrW+yX5g/wC/u33pfSU9Mz80wKTAuQIdQlwCjgGIQKmA1YCaQLY/27//gDHAvUCkAWlBWUFbgYyBqEGeANkAP/+hvwY+9X6Efr997v1YvSd9Dz1XPab9sn2/fa59XD2IffV97f2vfVw9iz3YfdX95H3Pfco9w34Gvor/AD+ff+mAIwBTwFMAfv/Iv6Q/OH6Lfpi+bP4KvhE+GL4hvhA+Xb6ofsR/Ln8jvx3/L370vpd+uv5jfou+/j7lfxj/UH+kf9+AS8DZwRJBWYFEQW7BMkDJwPlAQQB1gCnAOYA1QDOABQBtAENAxUF8QdNCqoLlQzbDIMNBw5yDtMODw9fD+YPrhBnETsSzxI9E6gTvhSIFrwYvBoUHOocmx0VHiIe2h1NHbochRyRHMockRxtG/EZGxgvF94WdharFSoUmxFoDhsLogdUBD0Bw/61/FT7PvrY+BP3ufSL8ofwvu+/7+vvy+947wvvFe8H8E3xaPPh9ff41vt+/rAAJQJ2A9UDCQTZAxQEnQTxBG8FkwWqBSAFKAQ8AvH/pf3i+lf4XfXb8rzwFe/o7fnsouyc7Bjtqu1l7kXvWPBK8STyKPPC9Pb2Tfm9+5j9VP8SAa0CTATDBUkHXQg0CdQJ9gneCdYIUwdFBWMD7wF8AKz/j/6i/YT8kvvy+kv6Kvqk+TT5oPiC+If4Pfi897n2avYA95L48Pqc/ZAAQwPuBR0IFAouDHwOtxAuEtMTaRWEF+YY9hnBGqcc0R8VI3cmxSgyK/krOSxqKsUnpSR6IbIdmhl6FvcTQhJGD9kMQgolCwAOcRFCFecWDxiWFnwTlw20BRL+TPZx75vpweUc43Dhlt/p3bHdJeBt43vm1ecy6KHnPeYe5GvgP97o3D7e3+Dk5BDq9u409Nj3pPvQ/y0E0wcdCdMITwesBdMD2QB//Rf6XPjL9xL47ffs9hj1BvKS7oTqEOd3487f1duC2NrWB9fQ2Nband054STmbOs98LXz6fVs93D4ufkE+/T8VP8BAj8F5wgHDesQ6RM/FQMVphPVEAYN0wfxARz85vbs8q7vXO136wLqGul/6Ezox+cV51/mj+WF5VflDebK5svoEOtT7gXyNPYT+17/ewQsCGAM1g7qEFURLBErEdoQqhH3EWwTahTpFXsWeBbfFakUEBQbE68TFBTpFTYXaxhgGcEZbBrmGb4Z2hgWGQUZQBnnGKIYnhjrGEsZpRmDGsEbNx2RHX4dHBwsG6IYnBZyFLIUnhbEGLAZUhhWFfAP3wkdARj5/PDV6qDlUeF03gTcrdvn2szcmd4x5OvoKe0m71rvY/DD8KXykPOi9gb6Dv9VAyoHbAriDE4O1A4ED/oPDBH2EBcP8AqlBqkBHf5d+p733fQF8+zxfPBA77TsD+pL5hPjEOC33r/eY99c4F/h7+OG53/s+fAO9Yv4cPw9AN0DQAffCUAMug1EDyYQ8xAVEeQP1g0gCwUJ+QbWBL8BCP5F+uT2qvNH8HfssuhY5d3ibuFg4Orfe9+h3+HfWOEB5Lvn8Ose7/Pxb/TT99360v0XANQCNQaDCc4Mhw7wD9sPWg/8DWYNeg1MDdsMGQuBCR8IMAhECD0JAgoECxkMRg1eDicPOBDUEAASOBNXFRcXlxhIGaYZIBryGl8ctB2hH5sgKCFTIdcg8h+YHZsbxBiFFvAUMRMmErIPig1aCuMIegfMBjEFawPuAIf9OPr/9kr1hfML8Q/ugOr459/kc+DQ3IPaR9tK3tzkc+z+9Fj6D/07/nv/PwJjA14DjQKCA+cESQeMCOIIWQlRCsULSQ3yDvYMYAmiAvr73/Xw8LLsqehs5mjkxuSQ5IbkZOOX4R7g4d7s3gjf7t+/4Ezi9uRG6E3t7fLl+AH/KASrCK4LXg3gDHgLBwr4CNUIOwgyB30F7gOaAnIBXQDO/rX8xvkZ9r7xC+2y6Knk7eGI4NzgNOLf43Pl1+bJ6LzqJ+007yzxyvIy9I71v/YN+CP55/rS/S4CNAfMCzgPsBCGEGEP0g3sCxkKDQjrBbkE6QPCA10EkwU6Bz0JoAs3Db8OPg/oDp4Ocw4cD1sQuhJYFXQYxxp5HJke9h9dIbQiKiPpIkkioyAjHzQeARw6GsAYgRe/FsUVPhRlEjMQZAyJCR8GmQPAAcz/B/9s/qH9fvsF+oL3tvWG82TxU+7V6Avjy9uK16rWrNvn49juIvkv/hACJQKdAo4BkgFaAuQC9QMnBIoFfAUBB+MHfApKDoMQ/xDPDtIJfQI6+xf0J+/f60fqTOq/6grrFepI6DHmxeRt4+3i8OLQ4nbjOuSP5Qno++sJ8er3Wv/LBfYKmQ1VDsQNqgwyCysKJAkfCIgH6gYjBgAF0wPGAhACUwFHACf+iPoN9gDxbeyT6A/mBOVS5bjmDeiX6bLqouuY7Ivtne7W7y7xs/LL9Oj2r/ha+mr80f40AuMFaAmkDEAOwQ7sDRIMDAp+CKUHtgckCKoHKwdKBn8FswW2BvMH3AnRC+AMrw5cD7APPxAOEcUSjxXWGMcb0x5RILsh7SK7I1wk0CRgJJojfyJHIN4eYx2FHGQcYhzmG8caxhjHFRsTww/MDBgKSweLBbcDEALmADr/Sf1V+w75dfbz9Njy4/Dj7lLqEuVy32nb2dqg37PnevE/+t7+rQCj/2L+f/4qAJwC1AS9BWgE6AJFAUcBCwSNCPMNUhIOFBMSUQ2zBhcA+fpk9wD2gvUR9bPzOvEP7qnqf+ha533n4efx5xTnUuWl44Li5+I75Zfp/e6X9Fr5V/za/UT+qv54//EAnALeAygEXAPkAWQAxv9GAL8BhwP3BBsF4AOTAZr+1/tY+VT3bPV882fxUu+M7Uns9esy7B3tF+7s7nnvr+/O7xPwnfBv8aPyAfSM9Uz3Hfkd+zH9Xf9hATIDiQSYBa8GrAfECLMJMApDCgQKxQm8CfgJSQqiCuoKzQqKCloKTwqXCuQKBgvRCjcKjAlTCe0JGAuxDCIOCA88D+MOYQ4eDlsO+g4EELgQ/xDREDwQ0Q/QD14QHhHZERESpRGVECYPmw1WDIkLDwvNCkEKWwk4COwGGwatBYkFZgXtBKcDigEi/5n8XvoC+a74IPkj+j/75/sq/AD8o/tG+zn7Z/uP+8P7rfsZ+y36V/nq+Fb5sfq5/Mj+VgD/AJoAlP+B/tj9r/0T/pT+rP4m/hn91Puv+i36afon+/H7Yfw3/GT7Qvow+ZP4sPhl+Uv6H/uN+1T7x/pd+k763foL/FH9LP5r/vX9AP0U/Mr7NPwd/Wr+kv/s/7P/K/97/gD+IP6k/i3/tf8JAPL/l/9N//T+o/6v/h//wf9XAOkADAGpADcA6f/b/0oARAE6At8CGAO2AvIBLAG6AK4ACAGgAR8CWAJZAjUC+QH0AVcC5wJ1A+AD5ANhA7gCHAK0AbAB/wFpAtQCQQOWA8oDBQQ1BEQERgRTBF8EYQRdBHsEqwTjBCcFRAUhBegEnARLBCoEHgQLBBUEMARnBJ0EwgTEBJkEfgSbBAEFggULBlUGTQYlBg0GEQZOBrEGFwdOB0kHIQfyBssG5AY3B5sH4wfTB4sHDAd3Bu8FjgVEBRwFEAXTBFUEpQPdAg8CZAHnAIIAHQCv/y7/qv44/rf9Nv23/FH8Gvz/+9n7k/th+0f7Xfum+yH8avxw/Er80fs2+7P6V/rH+TX55Pii+Jv45Ph2+an5jPlN+bv4Ufhf+Hn4R/gT+Mr3L/fW9gL3lfcO+KT48/iN+Bf45ffa9x34P/lw+hP7RPsD+5r6iPr1+iL7IPtH+3T7QfsA+/T6yvrg+lf7APyr/GX9vv1n/ZH8jfvL+qn6Ufs0/CD9x/23/U/94fyd/Mz8V/3o/fn9e/2q/N/7a/uJ+z78Gv3c/VT+a/5A/if+Qv6v/kH/x/8QAOv/kf88/x7/Z//i/4IAKAGNAYUBIwHdAOwAQQH7AawCBQMhA+gCjQJfAn0CxQJUA4kDrAO9AxkEVQViB3sJwAq5C5wK3QcCBuQF+wZzCHYJPgkbCBAHFwcKCCgJsQmzCfgIOgcnBZgDXAK0AQsCNwIgAsQBUQEJALP+jP6f/Wv85/uL/NL8cPzs+4X6YPmY+Tn7vfyr/ZT9M/1E/Z39C/7C/bP95/ys+6D7xPva+8T6OPp2+3X7bfyd/qL/If+T/J76R/o0+qb54vkU+iH5t/gt+cL5jfmP+Wr5+PgT+Zv6Xfw7/KL8gfx++/D6h/r8+Zn4M/hb+Gz4Z/hm+M/5O/tm+5D6c/mv+ET4OPgm+Ff4Nfg6+Jn4tvjk+RX6VvpG+3L7PfuM+4H84/2q/q79tfwB+wH6mfr5+xr9+v0e/iP9wvxv+5H6f/rp+o77j/wQ/rP/BQHeAbkCygJfA5UDWQQUBQIF8gTHBLAE/AWJCFEKQQw0DZ4NxQ0iDv4NBQ7gDqcOQg/TD9oPuxAwE/sVzxq0HqMhkiTvId0d7hhjE3wQaw/tD0oRIxGPDQMK0gZxBcoH+wnICtwIigKg/CD4BPVo9fL27vc4+Rn5IPgv+MT3Yvhx+jr8X/5VAPEAnQHrAbwCogSnB+oK5Q1FELYPqQ1fCtwGmAT4A7cDYgMNAg3/svzk+fX3Bvfq9tv2avaR9Mrw/uxX6XnoXeqE7dHwHPNc89vy6fJk84v1T/gk+279dv5p/iP+Sv4q/0ABKgNiBGcE+gLSAHz+gPwB+0T60vkS+d33I/YM9BjypPB270nuCu1j60Lq5Ok36qjree0k76jwmfFE8fXwM/DF79XwBPJd8z70G/ST88/zsfSS9hj5uvrM+/T75vr1+Wj5K/mK+if8xf0s/7T/MwDUAOYBcAP0BJYGZwjxCVYLCwwaDCgMtgzgDrURTRUXGPcZrBvfG9odrx9sIk8nSysOMNQymDR5NIo0CDSZMjYwAipKIc8WtQvJAXn7jvdA96T50vrR/G77qff/8intCOnI5pHnh+jP6y7sEO0m7iDxO/jMAYYLlRIJFvATphEYDsYM7QwpD7ERFRUSGDUYKRciE8IOpQq5B2YEigDS+p/zN+1856PkxeNL5cTn7OoP7RDtpev76Enn1ucX6gTu0fE59UD4sPpn/RAABAPVBWgIGQoyCvcItQZyBFUDaANXBJMFjwUnBN8AFPyK9gzxuuz86enox+ib6EXodufJ5ubmL+cb6JjosOhH6Fjno+aR5k7oB+yR8ef3Sv2wAGcBEABk/Xf6r/eG9fLzG/PI8nXyU/Ku8ZTxpfEW8nTywPEN8OHs/+ld573mzufY6lLvC/Tn+AT8ev43/38AxQHLA18GQAhTCmILBw14DtgQHROTFdUXlRnWGhQbgxonGXAYWRggGj4d3SDIJBEoJCsCLhwwkDFvMK0tpicxHg0TgwUE+jLynvBW9J387gNfCNIHlwHC+fjxtO3c7KXwzPIa9mz2JPah+Bn9/ASjDQAVKRiFGbIVfBHKDEUJ9wgKDEURyhZ4GzMbFBn0E84NSAi/AnH97fgm9Jbv4uul6GXniuiK64nvOPNZ9InzdfEH7/btF+/X8br2x/yAAhkHcAnQCV0JLQlZCRQK6Ql/CDsGvAPjARsBfgE3Ai8DGQNoAZ/9Nfi48fnrFOgF5iTm3+Y66DnpO+rg6pXrluyj7QDvr+8j7yfuAO3o7GPvDPOp+Nv93AEUBL4DkAFS/j/79fj899b3Gfcl9oH0avJj8R3wV++F7vTsaOvd6bvnceYZ5avkcOaC6TvupfP799f6K/3x/Qb/7QCzAhQFxQeECYELgw1nDmMQBBLzEgYVzBSeFLsTShJiEZURDxHxEfkS0xI3FSgXKxkAHdAgOyNBKI4r2iwXLkgqZSL6GAsM8QDm+Y/3svrZAF8GUwgxB2oBcP0W+EX2uvRE86Dy5/Ka9HT3Cf0CAHYG3wpeD/8RFxJDDsQJiwUIA3cF8Ai4DrITfxeXGHcXIRNwDacGbgBW+wX3DPSd8bDwfvAK8kjz2PR29Vz12/TE84fyVPGj8VrzCfjR/TEEXAmeDB0OPg3cCz0J+QYaBboD9AJ9Al0CfAJlA+IDRwQAAx0Ak/sv9vbwcOzK6VLoHum96iLteu/Y8ObxM/Iz8v/xP/HG78vuW+4n76bx1fRx+Nr7vf4bAHwAxv6S+3H4UvXx85rzGPTy9Lv1j/ao9kr2b/SU8d3tx+kk5qLjjeJM44Tly+hl7CbvRfGw8tnzaPUR90/5ZfuY/an/PgErA8UE7AY7CYALGQ14DRUN2wsIC+gKfQsJDHEN3A06DygQHxH+EHoQPhHwEUkVrxiuG14eFiJTJf0qPzL+NFA1Ni9HIrMTXAYT/MD5iP3qAeMHlgkEB/gBrPw39ybz6PDY7entpO4n8Wf09vj7/RcEpwsrETQUYhITDfcGawPoAvcFpQvVETUYtBznHVobUBU+DYsFV/96+gH3hfRs80zzFfS79Eb1e/X09BL0CfJN72nsNuuI7LLw9vaw/VUE2QkwDSkO/gyLCo8IYQdoByAIqAj2CM8IfwgECC8HrAUMA33/Avu79SXxFO2S6qXpzOku63PsXe1o7bDsneuI6hzq0uo57GPuffCo8j/1sPdt+pL8NP7R/mr+rP0i/L76svm2+I34hPih+Ez5Z/na+Pf2xvMu8HvsQell5t3kr+RT5e7mHugw6frpSOol61fsm+6J8Tb15fhW/EH/vQEHBOQFVwd3CD0JWQpNCzIM2g0gD2oQPRDkDwgPuw4MDl8NmgyWDNINig+/Ec8SHhTQE+0VbBeTG0MjwSvwNNw3sTInJq4YpwytBisGTgb0COYJKQuhC50JgQNi+yX0DPCn8HPxXPNS88T0D/cP+zIAOQRgB5cHxAYOAyEASP4T/y4DBQj1DbcTUBj2GU0YihNjDcAH5wKl/17+T/5Y/zMApP8J/vD6t/c49G3x0O5H7eXswe1r8Nzz1vhf/dkBkwTBBRcF5QI+AVEAWwKXBYEJhAyMDmIP3g6RDHUIRgQaAPb9Vfwz+/35Zfg+9+P1yvSC8g3wl+wY6TTmE+QX5BzlfecE6s7sie/V8f7yNvMZ83DyZfJu8p3zy/V1+EL7AP3a/SL9DPwW+un3QPZj9Df0I/Rn9PTzRfIQ8Afuf+yx69DqWOks6Nnm+ebA5/rpbeyt74Py9fSA9wT51PqB+3H8j/1s/wMClwQsB3MI+wlCCgsMfwzZDRsOTg5cD7wOZw+8DswRhxPHFksXJxU3EoMQ2hEpF7wgVidRMDQx/DEpK3kiIBgJDmIJZAZNCmAMGhFLEHYOcAlhAgP82PTp8cLtmO7n7hTzf/j5/CIByAHmAUD/Ff3r+Qb5Qvni/AMCugiuD/YT4Rb3FR8Uxg/5C4kIsAY1B8UHIwrPC50MfgtdCG8Daf4n+D/zz++f7uzvNvLK9b74MPtr+z/6P/gL9t70B/Uq95377ACSBrUKsQyKDEYKvgf3BIkDowP9BBkHiAjuCFQIoAZ4A0H/CPrj9E/xUO4w7avsoOxF7d7saOyK6ovoqOYc5b/k+eS75j7pxeui7ubwl/PN9bj2B/eI9ej0svQU9r/4uPsc/g3/Sf5F/Gr5b/b080/yO/GJ8Ezw8+8a8Dzvi+5J7Nvqq+gm6PHo/ems7JXtv/C38qH1KfcK+Mf5Jfrl+9D6q/zw/WMDtwkvD1USLxBdD+EMgxFnEaMVgBUvGe0doh2qHoUWOhakE/8btyZ3Mdo4FDStLVEfhxZhDRcL+Qx8EGAWahcDGGgRBgmC/mb25vMd8wb2APed+Yf65frO+uD5GPrw+A75EPga+Xv5CPv1/asBzgf2Cy4P1w8GD2kNIwvLCVcKQQ23EDAUrRXIFD8ROAzoB5sEAANIAckA4/8G///9QPxb+375kfdb9VH0FvTK9Ln1cPZl+Kr5z/vU/Lv99/2g/fn9X/63AGMCywSKBkwI5wnTCeEImQZTBPQBpwA/AIMAoQDI/8H99vqV9zT0VfH97nntZOyC7IrsHO2t6+Pp6Obe5PzjDOSn5czmOelv6sDspu1O7wPwevBw8FnwcvGD8V7zGfRl9jL4xvnd+bT3VvUe8sPwifCS8STzRvQl9Xr1mPXV9GnzXPDt7irtR+6P8CHzLvcI+MX6Evlv+ez3QfhF+/j+fAXGCXIMiQsBC4QLGA4uEhgUfBaPFhsayhx0IuAmWSmtLDst0C99LBkpsiHaHFgcER0uIgYj4SN8HrQXsA6FBdr/KPyg/S0ARATbBLICGP2y9bHvDuza7Abw1PQh+dH7Nv3b+8D66viy+V77Qf+tA4MH6woYDAMOUg7ID/kPrBBYELsPbQ+GDvcO5g5uDzoPpA7rDKMJ7AW9ASr/6v1p/rn/CQF8AQUAQv0u+c31ifPA83L10/dz+mr70/u++r358/jn+AX6ePvF/aj/EgHrAQoCYAF6AIz+zv0a/YP9wP6o//gAJwAq/sz6W/dm9BzyaPG/8GXxfvHI8dDwN+6x6qTnhuWY5LDknuRv5t7n4+nY67zsGe2Z6a/nmuQG5rDoouwd8lHz8vVR8rvxte9Y7q7ulO7e8mr1Ovnj+Jf4gvjL9a/1zPKK8obydPLp9Tb5KP1V/i3+fvyw+1n6jvo6+wb/fgMZCEkNHA1jDcMJlQk8DFIRvxluILQlwSiqJkwkRiDkHS8eoSH5J0QsQi+JLM8mZh+2GFcUoRNBFVMX4xiOF6cTsgycBc3/rfwb/ZH+zgBCATUAjvx2+KX0ovLN8hv1qPjJ+1H+Nf6W/RX8E/zU/GT/wQLQBXoI/glDCmYKEwoCCtAKTAvsDC4NTw6/DTkNdAx/CwYLeApUCtEJ/AiMB8sF4wMUAwYCyAHyANv/0/6V/S39ZPuy+uz5mvlu+rX6TfoP+vL4F/mT+LP4U/kv+LT5NPnx+Sr5hfh79xj3sfeN+EP5SPkI+Wb1bfW88uLyEvO68vPziPIp86HwJu+r7I7rjOrt7HjuHO677yzsG+zB6S7oIOqM6Vfu7O7273LwZuqk6VTmmecK7M/tq/ND80z0fPFC7tfsMuwe7eHwpfSd93j5Qfdy9v/yL/NS80/1DvrI+5n+Y//K/5z/Ov+v/mwAvwEMBhcJVg0JENQQWBESEQ8SohJTFB0XzBlgHRgfRR9aHjMcDBsBGkMbuxzYHTEeAx6VG0sZPRZyE4sSvhHYEkoS1xHuD0UM6QmyBhUFzwPeAz0EoQRhBFcDVAB4/rb8tfsj/RT+LADpAJUB+wC1/+L+Jv7m/nEAngLLAwAF1gRpBDcE4QOrBOAEEAZOB9MHcgl4CFEIUgcBBisGKwVEBjMGeQbiBgIGRwVlA8EB0gBzAMcA6gAGAUUBIwAS//n8M/vQ+nD6cvsW/NP7Bfwd+r35afhJ91/3wPZV+Mf4UfmO+Dr34/X79Gj09PTo9Lr1L/YA9tr1CvSu8+3x7fIL8/vzqvQr9Bv0H/PV8tTx6/HN8Q7zGPMI9HnzqPKq8gDyrvKe8inzRfOo8yT0RPT+8/bzzPMx9ML0GvXM9Y315fUD9if2Qffu9qv3L/ia+Kz5R/kj+gr6k/pO++P7Df2j/Vv+vP5e/7L/KwBkAEkBSQJOA0YEcgQXBd8EVgV/BRwG/AaNB4UI3QgVCcQIgQhfCLoIZwkXCrUK4wrICmcK5wmoCbUJ9gmeCg4LYgsxC7sKTgrCCdEJ8wlwCuQKDgvtCm0K7gl0CUQJTwmdCdMJGQrGCWIJtwgrCN4Hogf/BwoIUAgACJwHDgdmBh8GtgXkBdwFEQYCBqkFZQWtBGAE4QPfA/IDEwQ/BBoE3QNaA9wCaAJGAjQCaAJnAmACHwKXAUkBtgB1AD0AKAA8AAsA3f92//X+gP4Q/tP9w/2p/Zj9Y/0W/b78RPz/+6/7k/t5+3X7a/s++w77wvqQ+lb6UfpL+lz6a/ps+mb6R/o5+iH6L/pG+mX6mvq6+t/67frt+gP7Dvs1+1n7iPu5++P7D/wc/DH8PPxZ/Gz8jPyj/Mz85fz1/P38/fwB/fj8Cv0O/Rz9IP0g/SP9HP0a/Qj9Df0E/Q79F/0k/Tf9Rf1P/U39Vv1U/Wf9ff2c/bf91f3x/fv9Ff4g/kb+Z/6O/rf+1/74/gz/Lf9F/2//lv/D/+3/GQA9AF0AhQCZAMcA6AAUATwBXAGDAZkBuwHOAfABDQIvAlICawKOAo4CpAKpArsCzALXAvEC8AIGA/cCAwP7AgIDCwMCAw8DAQMGA/YC8wLeAtsC1wLWAs4CvAK6AqoCoAKLAoUCcQJzAmACUwJCAisCGwIAAvAB1wHOAbUBnwGEAWcBSwEoAQwB7QDOALkAlgB8AFgAOgAVAPn/2/+8/6j/hf9v/0r/Nv8W/wb/7f7Z/sr+tf6t/pv+kP5//nz+aP5j/lr+Vf5L/kP+P/40/jL+Jv4o/h7+H/4Y/g7+Ev4C/gb+7/35/ef97P3g/dr90f3D/cP9vf28/bH9sP2m/aH9n/2e/Zf9mf2c/Zv9nP2j/aP9sP2u/br9vP3E/dH91f3l/fD9/v0N/hT+If4w/j7+Sf5V/mX+dP6E/o3+nv6l/rX+wP7P/tr+5v7z/vn+CP8X/x//Kf8u/z3/Qf9S/1v/bf95/37/j/+V/6j/rP+9/8X/2//b/+7/9P8HABEAFwA1ACUATwA8AF4AWwBvAHYAeACMAIUAngCOAK4AogC8AKoAvgC4AL0AwwDBAMoAwwDSAMkAzgDIANUAzgDVANAAzwDJANAAywDIAMsAywDHAMMAxgC7AMEAtQC8AKwAswCxAKIAswCcAKoAlACeAJIAkgCQAIMAjgB6AIgAdgCBAHEAeQBzAHAAcABrAHMAZQBxAGUAbQBsAGoAbABrAG0AagBuAGkAcgBtAHAAaQBrAGgAZABqAF0AYABSAF0ATQBQAEcARAA7ADcAMwAkACsAFQAfAAYAEQD8//v/8//q/+X/2v/c/8z/z/+//8D/tP+1/7D/r/+q/6X/p/+d/6H/m/+e/5n/lv+X/5T/mP+T/5X/lP+V/5n/jv+c/43/nP+V/5r/n/+Z/6L/l/+s/5n/rv+g/7D/qf+v/7r/qv/F/7P/zf/A/87/0f/U/93/4P/u/+v/9f/9/wIADAAQABcAEwAbACgAKQA3ADEAQAA5AEkARgBMAFQAUABYAFYAXABYAFsAYwBfAGIAXQBhAF0AYABdAF8AXQBYAFoAVwBaAFIAWQBTAFcAUwBXAFAAUwBRAFIAVgBSAFYATwBZAFQAVQBUAFQAWwBVAF0AUgBgAFYAXgBdAFgAYABVAGAAUgBhAFUAVQBWAFYAUwBOAFcASgBIAEoARwBQAEEAQgA8AEEANgA2ADcAMQAwACoALAAnACIAHwAYABkAFQAXAA4AEgAJAAwABAD//wAA9f8DAPH/+//v//r/7P/t/+v/4v/m/9j/5P/U/+H/0P/Y/8//1f/N/87/zP/I/8r/x//K/8L/yf++/8T/vv/K/77/xf+//7//xv+//8H/vP/F/73/xf+//8H/xP/D/8f/wP/J/8P/xf/H/8b/yP/E/8T/xv/D/8f/wP/F/8T/w/+//8H/wP/A/8H/vv+//7v/uP+5/7L/tf+y/7D/sP+r/67/qf+q/6X/qP+j/6L/pf+h/6T/nv+l/5n/oP+b/53/n/+e/5//mv+d/5n/nP+a/53/mf+a/5v/mv+d/5n/oP+Z/6H/nP+i/6P/p/+o/6f/rv+k/7D/qv+1/7L/uv+6/7v/vv++/8j/wf/M/8r/0f/V/9X/2//b/+P/4P/q/+n/8v/w//X/+v/6/wQAAQANAAYAFQASABsAGwAlACEAKgAwAC8ANwAyADwAOwBDAEMARwBIAEoAUQBQAFQAVQBbAFwAXQBhAGUAZABmAGsAbABxAHEAdQB4AHgAewB7AH8AgQCFAIMAhgCIAIgAiwCIAI0AjACNAI8AjwCUAJAAlACQAJUAkwCUAJUAkgCXAJEAlACMAJUAjgCUAI4AkwCPAIsAjgCIAIsAhgCLAIEAhQB+AIIAewB9AHoAdQB4AHMAdABsAG0AaABnAGQAYgBgAFgAWQBQAFMATQBLAEcARgBBADwAOgA2ADMALAAtACcAJAAiABwAHwAaABcAEwAPAA4ACQAJAAIAAwD8/wIA+P/5//f/8P/x/+z/7P/k/+b/4v/g/97/2f/X/9b/0f/M/9L/zv/Q/8//yv/K/8j/x//D/8D/wP+8/7v/vf+8/7z/uv+6/7j/uP+0/7T/t/+z/7b/sP+1/7b/uf+2/7r/uP+5/7r/vP+//7v/vv+8/7v/u/+6/7v/vf+9/7z/u/+8/7//vP++/73/wf++/8T/wP/F/8X/w//E/8r/y//L/83/zv/Q/9D/0v/T/9b/2v/b/93/2v/b/9j/3v/f/93/3v/b/97/2//g/9v/4P/h/+H/4f/f/+T/4P/j/+P/5f/l/9//4P/e/+P/3//i/9//4P/h/9//4v/g/+L/4v/j/+P/4v/j/+b/5v/o/+v/6f/o/+v/6//t/+z/7v/r/+z/6//t/+3/7v/t/+3/7f/t//D/7f/s/+z/6//o/+n/6v/o/+f/6P/n/+b/4v/k/+X/5//n/+f/7P/p/+v/6v/r/+z/7P/s/+z/6v/q/+j/6v/p/+X/5v/j/+f/5v/k/+P/5P/j/+j/5f/l/+b/4f/g/9//3f/Y/9X/1P/P/8//0f/P/8v/yf/H/8r/zf/N/8//zv/O/8n/y//L/8X/xP/F/8n/yf/I/83/y//K/8f/z//O/8v/zv/O/9T/2v/d/9//6P/m/+n/8P/1//j/9f/8////BgAFAAAABAAAAAgABgAQABkAIAAhACcAMwAzAC8AMQAwADQAOAA7ADcANAAxADMAPABDAEUASwBMAFMAWQBYAFYAVgBaAF8AYwBoAGoAcABkAGcAaQBhAF8AVABSAFkAXgBjAGMAYQBeAF0AZQB6AI0AkwCPAI4AhwCDAIgAhACEAHsAgACGAH4AeQB1AIsAkwCVAJwAnwCcAKgApgCiALQAuQC5AKwAqQCpAKgAoQCeAKEAgwBoAFwAZgB2AIEAjQCOAJ0AggBpAEIAGgASADoAbgBfACwA7f8UAEQAOwBkAJAAtwCLAFUAXQBKAGAAXAC1AOgAzQCsAAcADgBrANQAuABAAHgAlAB6AEgAlwBWAJ//0P9xAM4AXgDi/xIASABSAB4A+/+M/xr/x/9rAH4AEwBt/53+V/59/mb/hwCUADAAv/+F/1H/gv8XAA0AVf+M/mT+GP/H/w8ATQBKAPL/z//8//z/CAB8/67+mf55/6UAiQC8/87//P/h/23/8P+ZAf4BmgFhAJP///6N/sf/yv8YAA8AGAGXADD/tf4x/uD/MwDS/z0AbwGwAd3/kf8LAJoAwAB+AMYA2/9F/pb9Hf/6AaQCvgJdAWgAs/7h/ev+xQBJA8QBHgAo/9j+kf91AeIAnP5SANH+XQBo/1X81vu4/JAAiwD6/dMBQgJtA3EBM/2NAVsENwA0BDn+rPotBWEDPASv9+DqqPHH/CgH2Q27BCgIiwR3+6vz5/DzAfQJ8Qkz+dLzSPqDAjsBawJLAgMAlv3u9/z6IPr4AhwF4gfQCDMDwQUrA2EBE/+f+3L5iQCOAi8H/QTV+x/zxuN07sgFyhvYILMJkvHT4CfiYO8q/BMDEwWyA3X7hfKf7bfxSQENCfsM+QdYAJP6dfj2/esFiA2CDU8E0fn7+db5QfsQA90Jlg4WBCL5Jfnm+UoD7gMXB4ME//o99df6xwG/BDIGPQFSAWQE4vslAt4BOQHIA0v8Jv15+Z381vyI/tkEbQaJAIH3kPxfAwML3gTd/gj34veSBJgCggGK/7D88/9R/oL7+fvs/8ECRgXZAbsEhQQqAeMC+QQWCssLcAPiAEgB2v/E/1H7q//+BIMFXv9++Cf5BAKJ/ob6FgKFAF3+gfrm+8b+DgJyAx8AmPzA/Rz/+fxn/jMA1f3G/moAdv3c/AoAq/+Y+sEBmwRbBTb+SfjC/X7/XAjEC/EHUgTmBOYGAgYNBfsF7gQGBF0C4QZQCXUJqweyBDoDGQA9A2QEhAa1AkQA1f/p/7f/G/yQ/Ev+nwD3+5r57fVi+8r/iP8H+6L5Yv6Z/e3/1vz2+6H9HvyUAGEBsv6jAKD+qv/mAOn/rv/E/cMBYwFIAZH+HP9oA7gELwYTA+wDSwBD/X39KAbKBroAlv1+/jr9QgDZ/on/EATEA4ICnPfD+2YAZ/2mAK7/0fup/K3+PP7/AOr+MADr/m0AUAV4/qP8MPbk9XgBigFMAeb7wPlk/4r8HgIIAWYA0QXH/oj9eAIkBrQEEP8b/QD+hACeAJ8AQv8+AZMEIwN+/G39fwARAz4EswC7Afb7zvja/9MBLwhjBXMAg/x9/HcA1v/oAY4FAgkiBSr/Tfqs/joFDgjUBAQBJgOH/eT/BQcuAiYCjgHwBYoC9fnB+5kCwAeJBjr+8O9I+3wCbf9DAN79eALj/7H2HPon/EMAUQI1/9/+2v5G/gAAaAWWCAEHXwKBAtADyAN7By4FTQNNAJEAxwC2ARIG4gE0/hX9YP9IAdL+eP9LA+j/d/4mACH9lvsJ/BAAev47/On6h/0E/BL9VwCN/hr/ZfyY/LT7Cfz4/bMEsQhu/Qb3Bfjf/tYD4gOZ/0v85Px8/aD7evh2AkUIwQMD/dz6pv9aAZ/76/m2/5wCaQF//IT2Ovj3/5X9z/qt+jb7ZQFA+jn8S/3D/Ef/cP77AJf/tgAx+xP8RPveBSoDUv6f+nD1jAMUBUsHBAHP+wwAo/9DAnoDAwU2/zv8FP+Y/asFGAQrBrUD6/sk/iAAwwSlAFP9Jv5KBJ4HCgDd+1H+dwVnAtX87f3wBPkBIwR6AWD/bAF9/RkCTgBsAmQFgAT+/wv+twKVAosBxv25AGcFiAAf/0wDqwTVBB0CMv/JAO/+5gLpB4IDEQIaATYDAAL9AZcBXP/8AE8ByASSBTMHYwSE/8j67f+5BgoIjwPP/uEDTQYkAKj60AC/CjAEevsw+RX8xv2RA88HsP/M+n39wf3G+77+n/6H/Rj+Tv1W+C/8FwJIAoIBi/bE/KoCqQZqAzT7VPvL+usB0QK6Axb8zQH1B/oALv6B+lsBeAOrADr7YgCeASr+wQAJ/Jf+TwP4/ZX7fP1G/qEBCP8B/H39IfwcALUEaPzv9WT31v8RARMD8Pyn9kH6qvsO/zIEHAG//54Drfza/CIAPAB2/zj/Xv8aAMX+0P5t/kn7af8YAcQCWgKr/Fn15PZIBGsF6wVtAIb2zvnJACv92v71/Q3/ugPU/k/5zPdf/0gFqAXZ/o3/dAAx/RP5N/qlAoQIlQU8+k39Z/1n+SH/uwVGAe0BUf+c+1f7p/oMAkIIdghMAKX5+PfT/8kFjAWMCDYDvvw7/H/83AGECKsLiwMc+kz6u/1EB6kHHv9jAO4D8gFH+kX88wkuDE8CcvZV9bMBpwaTAl/7K/8rAPr8eAAOAt8ACAMSAJX5s/xXArsIBgt3/tb5u/+zAnUFKv+6AYcHzAW9AGf9/gTmC30BNvvKBAgGAAPQ/2ICaQMEBnIDJ/0qAcMFIAReAMn++P74AUMETgUFAZL/v/5//LX/aQkRC/0C9P9UAbgBT/9S/nUCvQYXCC8BuvY7/kMD2gcwBscAFAB7ACr/FAHIAZMCugTs/Gz9WARUBcQBIAQuB74AGv37+gT+Mgk7CPwAnwA8AckAsPhH9ZMCqgjxBZ0Cyfu89gf+vgHR/YT/lPsN/YYEngHr++T/lwpaBzT50fdW+8IEGAdMAu4Anv8V/039mPpn/yYIlgY1/Sj5lfrt/o79Q/2bALwBRPql+LT8jALl/W72J/0wAwsC2v7k+1X9IgSm/Vf67v31/wMHiwQB/hj7vfrF/5EGEgUQBtcAZvpl/OT+MwhaCdEI+wKa+1H/LQEDAiwC0v3xA90JEwIN/4n7Qv4JAuf+dv3Z/h8BCwLa/dL6Wf0eAl4D4P0Y92b47wDcAvD+Fv1H/rv9/vYe+uj/cgHm/wX7OvvUAHMAl/z6/Nf8AwKzBNT+eP4d+hr9VQMyAU4A/gAvBEwCNv0c+Sv4ggJ6BTUCSf6w9Zb8ZgEcABYBDP6++nj9vvwSAC3/uvuW/6/98gGJAAf8BfrC9W/8HgOVAYj/hPwYAG/+GPuU/4AEOQN1ALf4Z/udBSsEGf8g/e377v7S+hr79AJAB/EB2PoI+ZP8vP9n/poALgMGBAABSACD/u34Sfqj/s8FAQU4/Ur41PY1AooGzQcPAnD9gP42/yr+7v37AFcGTwXnBJz9V/gx/swDegeDA1oDrQQbBAL+tv6gBsgKiQhL/c/66/3NA0wGlQLQAJ/+QgCmANf7nf/+BQME4f5q+g7/dATMAmr8wAFfAzkE0QP9+Xv8aAAtBFIF6AHOAf4AAACt/yUAYAK0Asr/7P/RALUE8AOVABYBDgBYAHICZQJwBQAF2AGUAhoA7v8pANcCBAMW/nT+of50AtYBBAFS/0r9eP9k/9r/9QEqBAIBbP5S+rv4X/0QAwcELwEeACP+Zf+eAAwAHP+WAP0CSwINAxsAivnd/r8ISgmZA6YAMgEb/rn/swPaA/kDWQaAAlX7A/1OAED+wPyE/zQAuAKQAf37avip+Wn+DP5Q+qb3J/vd/bD/cfum9MLz3vU++bz+hQWbBMH+ePh+9/L7s//+ASkBYgDRARgD+v15/JMDCAKj/7//RgBBAW0CCv/KASMB5/3t/LD8RwAVAQv+Gvnc+/7++vxn/L/7R/90ANn4gPbe+LD+Sf+7/1n+/vnl+tb5Avzu+Sn9av8r/Z37qPr0/Uf+kgL/AFb/o/v9+dX+XP9a/rL//QH0A2oEQf/O+Z77Yf86/bT9+wCZAXr+T/sV/PH8Qv9m/7b9IPtf/iMD/wEz/679lvy7+3r8Yf+TBBkHHgWk/+77Ov7jAcoE8QSPA48BzwIBBHwD+AOgBJcBJgAKALL+HgFgBXwEAQNJAlYBNwF4/h0AiwK1BdoFCf48/J8A6gIyACX/FgIZA5UBl/+LALkAMP/N/cL9LgK5A28DrwBS/1b9tACcBW0BzP7L/278PPgU/YsEzAIXAc/+/vwz/1v+j/5//Er/hQDp/qL7W/va/8IDJwj2ANr8IfwQ+xv9xwGzCDEGff+6+5/88P3cANIGRAieBOv8wvpw//gD+gVbBYkDAQGgAi0Cvv4W/7UACwdxB+QCPQJXA6cBDP6O/1ICQwaFBQYEzf40+lf85vwXAnQEAAX3///8FP6Z/QwBOQSKAjz+R/uR/TQCsgSjA94BZgB9/Rn9LQB8AA8DDQUSBh4BXf6R/mT+9/4DAS8FcwRRAqAARQBvAOf/TgFqBSkFCwC0/AUAMgf8AwkAHwDHA4gEOQIzAFH+v/+3/j/+0v7aACYAcP0u/n7/3AHIAML9OftBAaEGeAQqApgCQgNeAToCQgLzAgkFQwPfAcECSwVRBHUAjPuT/NoBTQMqBTACZgALAOT+Zf/eAckDVwFQAT8D3wOMBOECUQDDApYC5wCrAHb+cwDYArcEPQSp/yH+vwAUAdb/nv/KAjUFMQTl/xr9rf5aAIoBFARnBewBNP+g/Yb+t/9c/pT8zP0LAHsBXAHt/Nf89fs0+8n9Uf+tAPz+f/3I+4/8lP9sAFQB6QDo/cX82v1p/+D/zv9uACcATgFO/3/+uf2I/YcAdwFcAXT9HP44/2MA5gJnANwAnv9lAEwA4P8r/6sANwNs/jX73fmR/E/+Kv74/w4AOP6k+qf4//b++oX+qP4GAQYApf+x/Er6nfo7+yn/LgM8AwQEkQOE/sb98v78/1YAHf2D/24FHgZJAi/++vtK/Jb8IPxBAOABLwH1/Uz60fp5+9b60/tm/cT9A/8o/ff6WPy0/+T/6f2D+jr4MfszAagCpwLBADD+Av4V+w7+qANQBEUEGANMAoYCyf9n/kgBYwaLCUgICgQw/xb6sPwFAQoFMgc5ApUAi/42/n//UP7g/Wv/VgAUABUCrQHNAEwA6vxr/H7+EgHpBXYE9f9gAFgAdQKnAgAB6wJbAxkBs/3A/mUCXwf7BI0A4f0k+ub8R/9sArAFbwQUAJ/9f/1I/O79yf+7ASIDZAJ+ANv+9P2y/Zf++wBDBFMDlAJIAZ4AJv+6/hgCNwG+AeIBmv/F/hv+Sf9TAogBS/8q/iz+HQJYBJcDogCK/93/8/7K/n8BgQTeA/8BSQAi/5b+1P5E/jsA4gDMAGsAYf4x/sf7Af3d/az+wv87/ev8rf1NAML/Dv3C/OD9lv9zAi8C4v8g/nn8vP+iARkCaQAo/5P/XwCsAXwAyQCL/+n9gP3//koA4AFpAiABmABB/Yz8Kv/XAfkEiwNtAscBPP+H/Un80P1vAMMD/ANEACn+LftX/OD+Gf8h/nv+8v7i/0oAOf+2/93+s/6i/scAoQNoA50BuAANAx0DzQEl/fX7+QGyAvcCdv/3/cn8Ifrt+8X8XgAVAIz9W/3O/Xj9wv6S/4n/IAD0/cX+Cv87ABwCGAJ1AQ//1/vO+fv6Df6r/84BdASCAN35pfQy99P8Qv86Acr/g/9y/7f9V/1Q/Br7Yf0CAQ0ClgE4AF3+Xf+gAXgB2P6b/UH9m/8UAnQEqgRaAfv8A/tV/W/9pP9OAIoC8gTFAtsBgP52/aT8Qvyb/1kEpgjJBpsA3/vJ+E75JvwnAGwFHAbcAwD/fPi29nb3mPybAUIElQYKA2v+Xfhl9hb7PP+zBL4FYwV6AjD90fvp+4/+yQArAkIEYQRpAgcAl/6u/jsA+gCMAncDagN3A0gCdAAGADn/PQARA+QE9QR3AkQBNP+P/sIAlADdAmgBbAHUA2oBCQDz+8f7h/xu/3IBzQObA+MAav1c+rP7J/xkAKgBOwTbBGsDzQAB/PH6ffuG/kIEOgaiBXYEuf4J/eH5V/v6/loBLQPMAB0CCgBk/XT6F/oR/Z3/JgEuAZ4Bzv85/Sj6cPsP/a39CAAyAYMBvv7e/Q7+eP0L/uL7pv1FAKkBwwKGAToCHv9k/Pb9wgFeBLkEmAMeAu0BGQAD/yb/dwEiAiwDvwQgAQP/zfuB/ZIAMgIGBBECKgFr/eX9GADcA5wE5AH/ASsAOgEGANkBdwPxA+0EDgH3AisBpv+FAJsAuwP8A6oD2wLRAOEAiv5YADcCywLqAmIBBQAJ/W3++P2iA7MDVwOXAUf9FP9m/MP/DQKfA+0DSwE9Ad3/P/82/9j+4QA6AVr/3P6y/P77+/qc+jb61vnE+HH4pPdC+E73dvXw9ejzEvdG9s739vgg+CP5QvdV+Lf3Zfkg+hr7bPwV+wz6c/js9/f3o/mE+c76/fhb9of2ifPH9sP2KPi0+ab5tvnN9k33JfVW+R373v0pAED/s/4b+wz7Aftg/skAQgUwBwcILQXHASMAVABLB38JGxK1EHcONgyBB9gLNAuVEPgRphIOFDUQlRBYDZYNkw5gEHAUCBSkE8YQ0Q+pDVwRoxBfE+QTyxAyFCcP7xPYD/0PsQ0sCskMvAkcDVQJ1gfABSEDZALNAVIA4gAU/8z9SP4T+5f8ZPhN+s33UPnl+OD2Qfl882v0fvCO7w/wB+/C70ruZuxq69Tpfel16QLnpudu5VLmsOZ56Y3pMuac5I3fmOLK4v/jeeSM5pLjZuRn4SDf5+Ig3rnkL+T+6aTqE+kn6EXnGOoz6xPwk/Jw9x340Pt8+nv9Tv1e/jUDXwbPDYUOshELEMMRHRLZFNMXlxlEHVkbFB6+G2QdVxzYHAsdPhsrHOgYdhoNGUoaZRprF5sWGhKlEvASPRX/FuQVshUaEsUSjxKvEw4W9xZ4GIAXExb7E0cVsxW0F5YYdRmrGa8WXxQrERYSMhEzEYIQKg/dDnkLAwrNBooG0wWEBasGvgXGBfwCowLbAWwCiwN/AoQDtAE7ACT+8fxq/A78sfsN+uT4NfbI8/rwg+/E7pfuKu4S7ZjqvOcu5cbiQeM14/vjs+NE4SHfRNuN2sjbu9z64FXfluA+3YbbANvU2sPeNOB85JvmNent50vqNuh87cjvX/QI+Zf8WwKfAIAHmQOSCb8GJQblCdIK7BOtE3YV/BK9DXAMSApnCuoNBg7UEPwRqxFsEJ0LgArJBv4JlguLDmMSkg/VEDoL/AyoC5MMzA/zDtsUxhRzF8gVeRO8ExwS5hQLFXUW3xcTF1gYORZmFd0Sxg+HDSAMggwvDtMOKw7mCkAH8wRhAxoFOQWsB8cHmQjfBgoF1APQAbIDcgLxBZoFRQfEBdUDQwL6/qX+s/uZ/ev7ofz1+v73fPe+8/nzf/Hc8Y3u4u1P6jTq4ul+57zo2OO/5pLhyOJF34LfXuAz39jh8d3j4PLaRt272U/cQt0L37vgHOEV447im+Si5L7owept8/H1JP4G/8kA8gDj/48C8gMjCc4LeBGcET0Srg7GCRUJXgZMCfoK4wziDQsNTQvYCu8IHwjABeAEpwcPCasN0QyODB0LrQhOCd0ImgvRDOQOrBF1E48WlhZcFVwU9RJmE6QUMBZvGEMZMBnLF0cVDxNNEMkOhQ6nD9UQDRF/DskL9gfPBoEGGwiaCcMJiwnVB/EHIAdRCHMHvAfIB/oHHQlKCQsJ2AgbCHQHyweMBagFjgG2AAP+i/zW/LX68Prz92n2JfPF8Obtm+va6d3oGOie51Pn0+Vp5aTixOEa4ATfpt7x3W7f9t9K4XPgvt903rrdsdz83fTeleKR5jXpeOya7DXut+1T8lL3CQAjBRcK/whEBt8FywAMBoUJfBHxFWAVWhB1CSwFvQFlBKgHLAwnDv4M8gq5B6cFVgOGAmIEzQa8CbIKSQrnCXQItQfHBxwIwQkxCm4M2g+8E60W5xXIFCMSnhBjELMQ+xPtFtoY+xhZFr4STg/LC7gLxAxQDi4Q3Q7pDVELZAj4BV8FwgY3CKgJDgk1CCIHiAaRBV4GPAYDB0gHsAcJCFoIWQiXBz8HkwZoBVMErgInATsAWf52/Qn78/mw9831VfRV8ujw0e5W7OnpH+jd5k3nw+cA6CPnw+TI4j7gGuBo3ybgnOCT4OngJ+D33pjdi9zh3MDdF99K4KTi8uQs6YbqYu0D8Dvyn/mY/qAGAAoACSkDaP7j/QUEfw18F+4Z3xbkDckAFP5M/D8E4wmXDJAPqwrJCMb/IfpF+SX7KgR7CGMLPghRAmH+q/xEALADfwdwCP4JmwvaDLcPug8vEUkRjxF5EqUR0RLWEsEVARhGGbUXHhTBD4wMJwzdDCoQIRLjEuMPow3tCM8GNwUeBVwICgt2DQAMJAqVBqQE1gTHBZYIJgs5C7AKiAmgCEwJ9wn5Cq0KZwqYB6IFgwPlAdYBIQGzAf3/2/yB+MjzXfHT8Afx6PEu8XjvKewq6bjm9OV95tTmyOdL5rzl2eL24WHhOuH24WHhmd+p3sDbkdxb3YTfr+Jz4rrkmeN25Wbnq+xq8o75O/9HA/IGegcJBOgBj/3o/+4GPA4eGHEZwRViCxICe/yc/BQB+QNpCRwMMQ2EC9ME0/6r+Kj3jPn//osELAg2CLUFOgPQ/4T/kf8EAtgGewyUEfUUaBUGEzQRyQ4YDxYQgxKcFcsXKxoIGbQWhBIHDrALqwp3DBsO9A/2ED8QZw+3DD4JLgfRBFIG3gjuC9AOnA5WDTAKewj0BgIINgn4CsUMJw5tDvUOvQ0CDeoLkwq7CV4InweKBnUG3gV9Bb4D6wBr/P73M/Qq82nztfVB9r31gvOF71vsB+nL55zniuiJ6QTqQup76KjmI+Nr4f7fZt/r373fmN8G3qfgBd8W5YDlgeOh4dzd1+G16uT46wJKCfsIbf+/+7r3lfmEA58IjhAFFT4UJRMSC8YD/f3x++f/HwMLCf8I2QjYBQkBGAD5+/f8MvuD/KP94/96AWYBnQF4AP4B5wFMA1oDlQQsCCYLkg8bEmgTYhSKEgURLg5bDUIOhhEwFvAYIRrAFbIPTQlHBZ4GGAv7D54TWBOGELsMJAhTBfAE7AagCtkNrA58DXYKrAdGBpkHAgp2DHENTgwrC8UK5QrpDAUOZw/iD/YOPw1FCrsHSwb4BuUHFAmLB00E1f5q+if2NvWV9VX2efgY94T2JfOD8M/t/etC6h7qyOkD66rqn+pL6sXn/+cg4wjiGN3z2+/ajNzY4BbjmeYY5MjeRNoQ1njc0ubV9hYDcQd/BcX7hfd/8yj4e/+CBz4RKhZjGMkTHAwFA0b8xPvf/+4F1AzxC2QLegWUAY3+kPzE+7L8mv0EAG8CWwJgAg7/Tf0e/MT+qgEVBR4HJQhTCYgLeQ0bDwkQgw+WDyYPyA8QEG0RcxK1EuoSEBEbDx0MoglGCQsKpgyLDpoO9AyKCkEIyAd/CL4JbwsRDCEMJwsQCmcICgjtByUJPgoaCzILAgrNCGQIKAmqCxEOeQ8gEJIO+AwQCxQK3ApaDFkObw4ADc8JPwUhAhP+7/wI/En8Dv25/Jz7XvlS9qbzK/HR777uvO2S7n7t5+4S7n7toOvT55PmkuDM4BfdwdwT3svfieQG5jLkedsG01/PfNWm4570lABPBbEAVPZ47d7pxO7r+OIGFxKHGAcZDhLwB6/9I/ep+N7+jQeVDgYQlg2MCH4Ctf6Z+7n6h/vt/Hj/IAE2ArsBtP+4/RL8l/xn/kkBTwNnBDsG0AfMCyIOSRBIEOIOPQ11DMUMkw5oEC0SvhIUEvQPlgyXCc4GgwYAB1kJKAsYDH8LFAkzB6MF3AXxBtMHwwi3CfYJXQrPCTUJNghbCDgIignsCQsKowkjCJsHVgf6CC4LCw1SDdkM+wqpCaAImwg1CSoLcwygDYcMSQowB/QEWQNDAg0CtwBqAYYAnAEWABv+M/rX9SDztPJp9D72/PXO8mHw0O7H8PfxfvBC6+vi2d8D32TkmOhb6JbnHeGF3FfVbtGV0vbZdOdB8qb4yvYD8AvqP+a16eDvgvmEAicJAQ4vDm4L2gT7/fb44/my/eoF+AncDFcLNQiHBSUB/v2L+kT6wfssAO4D4wV5BF4A2/vZ+Ln4rfva/v8BFgMqA3wDpwNSBOYEuAWaBnYIygmyC24M+wxkDK0L9QrrCpYL7QuvDA4M5gtZCtoIFwfZBQcGBAckCR8KhgphCMkF+QJxASgCxwOVBlMIbwlzCNAGKASjAtsBawL7A1MFGgdzB+YHtAZxBpMFcgZmBxIJ2QoDDDYNpw1FDlEOlg4sDrQO0A3HDSYMagoMC04KhwwdDNoL6QmwBiQBQfyx9zD4TvxGAUkF1AH8/oP1jvSU74PxaPFV8f71fPWr+J7xleo03izYFtfb3LzlX+lU68zkz+Bd27Hb5d3c4kjp2u6N9KD11/ZJ81701fVS+4EAGwMqA5sA3P6s/Uz/gAFABKwGeQf4BuIEPwILAN3+c//CAGICyQLDAaT/Mf2y+wf73ft5/Jf9E/6Q/kL/7f9ZAeoCMAUZB4IIjwgeCH8Hnwd2CJ8JxwqlC/4LpQuACoUIsQaJBVIFMwYtB7IHqAeEBtsFrQRWBOgDuAP2A14ExQW3BvgHjQd3BuQD2AFsADMBPQMMBsoInAlsCboG8wNTAYcAIgI3BVYJ1gs0DX8LtQglBZgB+f8uANoCpAYfCo4KdgjlA/z+z/uC+qT8DwANBUUKFAykDJAJHgboAx0E9Af8DA8TdhUfFuwTHA8yC4IG7gQvBf0HdwueDOcL2QYHAbn7EPlM+Pb5ofog+3X7DPrS+C71XfIU7obstOuP7P/t0O5G7q/szums5kfkH+Ml5drnn+z+7pbwJPAc79PuAO/S8Inyn/Qn9gH3ufdY+Af52/mJ+jz7Tvt1+xH7vfor+sX5bvrK+2f+XABnAbYA7P5v/Zr8AP3r/Qb/TgBvAcECfQNLA6wBi/9o/ZH8n/yV/dP+uP+fAFIAyf/6/Vz8RPtv+w39C/8CARwClgKGAjIChAEJAc4A4wGWA88FhQcQCNAHQQe3BsgGGgdFCOkJ+wvqDZUOWw69DFELVwrICq0L9wymDeMNWg38CwYKeQeKBegD/wNxBIMF4QXZBSoFagQJBPQD2QSwBUQHFgjuCKYIFwjIB0oHRQgZCMUIcQdkBq0EvgLbAUgAOwB8/5r/Uv/c/p792Put+S74ZfeF9zv4zvcr+HH2IvbN9Bb0uPMV8+/0d/bp+Sr7hPsS+l34/PeS+Jf6Gvxj/ln/1gCOALn/+fyC+hT5f/kg/KP+jAFNAuIC+AEsAf3/iv6g/u/+dAE9A9EEcQTZArEAo/7W/Tf9af1t/S/+m/58/1b/K/+G/o7+Xf8uACsBIgEKAX0ATgBLADgAYABcAI8ApwBpAMn/5/4i/sb9Ff6d/h7/RP8m/+f+l/5b/iX+V/6x/pz/gABLAacBkwFvAUYBXAGOAb0BLQKEAuICKwM/AzsDKwM2A1sDhAOjA6MDjANxA08DMAMaA8gCjwLxAXgBsgAPAID/E/8f/wf/ZP9y/8L/0f8LAEwAvgBlASYCLQP9A+oEWwXKBeQFFgZOBnsG3AYyB4IHjAdeB84GNQZaBccEKQTmA5cDNAPRAvoBLgH3/83+sP3G/Ef8yfuT+zH7t/os+lv5vfgX+LH3svfj94P4HfnC+Vf6rvob+2f74vts/A792f2l/nz/XAD7AKgBCAJ/AsMC+gIrAzwDaQNhA2EDQQMcA+YCrQJmAi0C6gG/AZwBfQFlATABBgG7AGMA5/9d/8H+Kv6d/SX9t/xX/Ar8t/ty+y379PrI+rH6sfra+hH7W/ui+8v7+Pvy+/T70vub+2/7Nfs0+wf7Bfvk+t76pPp3+i/68PnD+Zj5wvnM+S76Qvqg+qP6yfr3+hP7Z/uR+wD8Sfyp/Oj8Iv0q/WH9Yv2V/bj9s/3R/Z/9q/1z/ZD9oP3O/Q7+TP6Q/qb+kf5q/jj+L/6Y/uX+wf8pAOIARQGLAcwB1wEbAlsCEAPVA9YEhwVJBpoGAQcrB3QHwQf+B6UIEAngCSkKgQpxClsKPAoqCj4KJAonCucJvglMCfgIeggSCNEHoQeyB5UHkwdTBxoHwwZ1BhoG0AVvBTMF0QRvBPMDZAPKAi4CtQFAAfEAiwBHAOf/j/8r/8D+YP4G/sv9lP1k/Sn93vx2/A/8j/sx+8H6h/pB+iL6/vnv+eL51/ng+dP55fnv+Qb6Hfo9+mz6ovr5+kX7pvv++1L8lvzY/BX9SP2V/cj9N/6I/v/+Rv+j/9b/FwBUAIUA4QAXAYMBugESAkECaQJ2AnACdQJLAloCKQIsAuEByQGCAUIB/gCmAGgACwDw/5n/hf89/xf/2P6M/ln+BP7i/aP9nf2I/Y/9lf2Z/av9qv3P/eX9G/5T/p3++f5L/6X/5v8pAGEAmADGAOwAFAEsAUMBPgErAQoBxACNADsA7v+c/03/Av+w/mz+Iv70/bv9lv16/Vz9SP0q/RL98PzL/KH8fvxd/D/8Mfwj/CL8MPw3/Fz8ePy4/P38Xf3O/Tf+wP4m/6j/AABjAKYA5QAjAUsBfgGOAbcBuQHIAc0B0gHjAegB+wEBAiACKAI5Aj0CNwI0AiACBQLXAagBbAEgAcwAcAAPAKL/OP/G/l3+9f2H/S793Pyd/GT8O/wU/Pb72vvK+8D7vfvN++T7DfxA/IL8uvzy/C/9a/25/Q7+af7V/kT/sf8bAHQAxQAKAUUBkAHXASgCegK+AgIDNANZA3UDjQOoA8wD+AMrBGAEiQSlBLkEwATKBNgE7wQSBTQFWQVyBYEFewVrBVQFRAU2BSsFKgUcBRMF5gS1BHUEHwTVA4YDVwMcA+ECsAJfAhICqwFUAfcAtQCGAFcARwAsAB0A+f/W/7L/nP+V/6T/yf/y/yoASABwAIgAmgCnALUA1QDxABEBJQEsASYBCQHoALwAngB9AGMATAA5ABkA7/+9/4//X/8v/wP/3v7D/pn+d/5G/hj+5f22/Y/9dv1i/VT9TP1H/Uv9Sf1X/Wf9if2v/eP9H/5U/or+w/7z/iH/Vf98/7P/2/8PADYAWgBzAIYAngCaAK8AsgDGAMsA2QDcANMA0gCyAK4AkwCEAG8AXQBOADgAKAD7/+z/zf+v/5L/hP9z/2L/Wf9L/0T/Lv8j/xf/FP8K/wn/C//7/vX+7f7d/sn+wv6r/qT+p/6i/pr+ov6j/pz+q/6x/sf+1P4E/yD/UP97/5T/xv/Y/wYADQA8AEoAYgCEAG0AjQB1AH8AYwBfAE8AJQA0APn/6v+r/4X/Q/8K/9v+hf5s/hH+5v2g/V/9Fv3a/KX8YvxV/Cn8GvwW/BT8Dfwe/C78Pvx3/KD82/wp/XX9s/0K/lP+kv7o/jL/fv/I/w0ATQCUANQABgE5AWsBlwHMAQQCOAJgApECugLdAvoCGANBA2YDkAOxA9oD/gMcBDUETARmBIUEmAS/BOUECAUrBU8FcAWQBbkFyQXwBQEGHgYoBiQGLwYTBv0FzAWkBVoFFgXGBGgEDASLAxcDkQIKAnoB4wBUALr/Mv+c/v79av3L/D78rfsv+6H6NvrD+Vr5Afma+FL4+/fK94X3YfdM9zn3O/dB91/3afeY97338fc0+G/4wfgH+WL5svkK+mf6tPoX+277zvsk/HX8yPwP/Wj9q/37/UT+mP7e/jH/ev++/w4ARwCVANAAIAFSAaAB3QEhAlUCgQLDAtMCGAMkA1oDagOSA5cDrAO7A7IDxQOnA8ADnwOvA4gDfwNmA0wDNAMWA/0C1ALAApYCeQJQAjQCAALaAaoBiwFZAT0BEAHvANEAqwCOAGUAVQAnAB8A///2/9n/zP/C/6v/sv+X/6j/jf+b/5H/lf+f/5r/rf+i/8L/vP/W/9v/9P8IABEAJwAyAFAAWABxAH4AlQCkALMAwQDNANQA2wDmAOUA9QDvAPUA9QD3APEA7QDmAN4A1gDLAMcAtwCvAKYAnQCNAH4AeABkAFsARwBFADEAJwAaAA4AAwD0/+//4P/Z/8z/x/+//7j/sP+p/6n/ov+d/5z/ov+c/6H/ov+o/6v/rP+w/7b/wf+5/8H/wP/D/8T/xv/N/8b/z//G/87/0f/V/9f/1//k/9//7P/u/wIABwAUACEAIAAwADcASwBPAF0AaAByAIIAjgCeAKcAuQDGANkA5QD0AAcBEwEkATYBQwFVAV0BbwF2AYYBiwGQAZkBlwGYAZMBkQGHAXwBbwFmAVwBTAE6ASoBGQEGAfIA5ADLALgApQCSAIAAbgBcAE8APwAxAB4ADwAAAPD/6P/c/9H/wv/A/7f/sP+o/6r/pf+h/6X/of+p/6r/sP+4/7v/xP/I/9L/0//e/+H/5P/u//P/8v/z//v/+v/3//r/9//3/+3/6//k/+H/1//Q/9D/xf++/7L/rP+i/5n/kf+C/3n/a/9h/1D/Tv8//zf/Lf8h/xv/Dv8M/wD//f73/vf+8f7s/uz+5P7o/uX+6P7l/un+5/7p/uz+7/7w/vL+9f76/v7+B/8L/xP/If8m/zD/Pf9O/1T/ZP9o/3n/hf+N/5P/lv+j/6P/rf+p/7D/tP+0/7b/t/+//7z/vf+7/8H/wf+//8H/xv/K/8//1f/V/9v/2P/X/9r/1v/Y/9P/zv/J/8P/vv+4/6z/p/+f/5j/k/+K/4L/ef90/2z/Yv9a/1X/Uv9J/0P/Pv86/zD/K/8i/xz/Fv8N/wL/+f7s/uX+3/7V/s3+wf6//rz+vf65/rn+vP68/sH+v/7F/sv+0v7W/tz+5f7k/uz+8f72/vr+/v4B/wv/C/8S/xb/F/8Y/yP/Jv8w/zT/Nv89/0b/Tf9Q/1n/YP9n/23/cf91/3z/ff+B/4P/h/+J/4z/jP+S/5b/oP+m/6z/s/+1/8P/y//Z/9//6f/y//z/BQAMABQAGQAfACAAHQAfACEAIAAdABoAGAAYABQAFAASABIADgAMAAwADQAMAAcABgAFAAYABQAGAAMAAgAAAAIABQAHAAUABwAIABAAFQAZAB0AIQAkACUAJQAkADAALQA1AC0ANgAxADQANwA3AEAAPABGAEAAQQA2ADkAMwAuACkAHgAeABcAGwAOABIADAANAAcAAwABAPj/9v/p/+//7f/x/+3/7P/y/+v/8//q/+H/1f/V/8//x//I/7r/xf+9/8L/xv/F/8L/wP+8/7X/r/+n/6//nv+k/6D/mf+S/5L/jP+J/4X/e/95/3r/cv9q/3L/bv90/4P/gf9+/4X/hv9+/3j/c/95/4L/iP+S/5j/pP+v/7n/xP/K/8n/yv/H/8r/zv/P/9j/4P/3/wkAIAAuAD8ARwBEADsAQAA5ACsAJgAfADAANAA8AEEARgBDADgAMQApACoAIAAhACMAKAAwAEgAVABlAGYAawB0AHwAfAB7AIIAhgCEAIYAjACRAJQAiwCSAKUAsAC1ALUAwgC+ALYAqACmAKoAjwCDAGsAWQBHADYANgAiAD8ANQA/ADYANQAvABEADQDt/wYABQARAAMA/f8BAPH/CQD9/wEA9v/7/xMAHgA+ADwAOQA2AEMAawCJALAAqgCdAIkAewBLAPb/tv96/27/Xf9p/5//zf/3//z/DAAMAPv/2P+c/3T/R/87/0r/Xf+Z/9n/FQBKAHQAfQBnAEIADQDm/+H/9/8NAC0APgBHAFwAYgBpAGsAcgBdAEUAHAACAOn/rf9z/0H/Dv/p/u3+5/70/h7/SP+O/9D/LQBWAFQALQDQ/23/5v53/mD+Vf6p/rH+J/8j/w//8v7i/jH/8P7a/rv+rv7T/tj+9P6e/mT+5f1m/sH+B/9W/0X/OQCKALoAfAAaAO3/2/9w/xH/4P75/pn/vv8IABIAJgBWACEA1v97/yf/Lf///pf/sf9NANAAeQGZASkCdQHsABQAl/5V/t39K/2s/WL9ov08/g3+8f4OACQBhAFEAvcBCwIGAq4Bcf9d/yn91P3t/5D+xQB5AB8B/QE4AyUALwL//4r/ngB6/EH9efy7/+3/nQHPAc8C0QUIA6wAtv28/WH/9f7K++z4cPzz/0UEcwPLAEUFeAqhDZgLDQFv+b716PBs8bjvlfHq/DQEtQwVEfwN6g5BCjgE0/2C9svvlfAS7aPwrPZt+roENgW8B30JNwchCVoDzv9K/PP5Yfu4+e362fp2/k8AvgLk/br/VACpAi8LPgf4DLQMKwzYEJ8LLgoqBWL/m//d/D77zPlb91X78Py4AJkA9P/KA0cF1wOVBN76KPv++m33pfsg+PL6iAE7BC4HJgjOBV8GpgOv/uv7sve6+Jv5N/xE/+4BZAW0COEItAmiB60FbQW9AVMA0vzB+s76KvxI/QIA2QF5A6gG9ASBBf8BLf+E/nz7pfvB+qn66v72/6gCWQOnA7oGvAU8ByYCgQDq/Fz6bfuR9yX6wvmZ/E8AtANOBc8HLgZXBu4EqgHZ/mr7HPka+QT61vpU/4f/8ARtBSgFkATnAH8AXABE/U39efsh/Pb+rf7P/37/vf8GAJP+Vfzr+fX3t/gj+Cv7n/wa/hICewHuAx0CIwLi/2oATf3y+6b6KPji+jT6kPxF/RL+CwDU/8oAAv65/vP8pvwQ/dH6+/sP/FD8D/4f/YD9T/7j/ZL/5P47ANH+4AAiAecBZANsATsDIwJlAfEAGP8h/z3/yP76//P+LwBh/2v/4f+S/Qn9+/q1+s37E/uJ++T6kvvI/Kf93P6G/bP9UP1g/fP+Cv7F/kH/wP/5Af8BiQKjAycDbQR3A3ECWwIRASwBlAEGAV8CZQJvA3IElAMMBHsCnwMcAhsDIQEgAFn/vf7a/lj/5P4h/97/vv95ADIAVv7a/y7+j/7//uz8Sv/7/RcAwQAcAWICngFhAg0BTgE5AML/mP/a/lb/+f75/4cAUgDxABIAVAGDAfcCuQJUA9wBHAOZAswCXAHH/m//lf7Q/4T/LP7j/oIAygCFAjIAzAA9AeQBRwFJ/wD9wfwm/oD8of5V/Wb/vgGJAsQD1QOzAyIEKQOHASsAhf+w/vn+8P3A/Wz/HgCdAUkCywFwAa4CmgCwATv/d/+jAO8A2gIRAqACtAL7AsgCqQHpAD0Arv8SAPb+0/9l/ygA3ABaALEBMAF2AjYCcAE3Ab3/OADz/oD+Bv5Z/qj+8P4v/if+xv5C/3f/j/+5/2QAMwGk/73/t/9tAGsBGABq//sAbAE3AusA8v5GADMAcQDj/oH+RP5gAAUAyP8MAOT/EAKkARMBaP+L/4r/jgAV//L9tf3y/mD/Uf85/qD+lgF4AKsBz/4j/9kAPACiAPD+7P02/1v/kv8MAJz/oAFWAqECDQMkARsBFQDT/mP/L/0V/hP+QP5QABH/EwE0AVICnAOMAhoDXgIWAo8BpP+C/tr9Af7//hT/QP8WAPAA6gKuAgUD4QEJAZYB3P/4//b98/wB/4j/WwHVAJwAogElA5sDjwKhAZMAdQEwAab/bv7H/jb/ggGZAJ7/ogC5AC8CYALE/0sAFQE9ARkCKf85/hQAeACnABcAjP2aAAECEgGzARj/awAlAnr/sv+u/Vr+ZgBe/zP/Mf9ZAKIC0AN6AtACzgK7Az4EzgFJAUQA2gCRANL//P5i/9QArf9b/4n9iv3i/rX+fv7E/q3+8/+uACP/Pf+J/qP+3f45/k79FP9S/l7/Cf9h/s3/lf++/y7/xv9+ABAC+QH2/9H/W/90/7L/jP0L/QX+7f1z/m3+qv3wACkBaAGmAJr/Xv+x/xD++/yy/Qj9eP4g/nD9n/3X/s79X//U/o/99P9m/bX++v73/XoAuv8KAWcBtQGDAbQBAAD4AG7/+f54/qP81f8MAOYBwgKeAQEDowKvAbUAmv98/kT+aP4Z/fH/sv+mAQwCZgBdAa0AuwHPACYAJ/9KANQAZgCaAFj/qgBkAMEAcADBAcAAegJhAXUAowEr/3ABpQBzAQUCdwGOAe0AigEiAJwAv/8pAC0BmgC/AE0B/wDLABYBmP8xAf4AiwHrAuIBQgKTAdkAzf/t/jn+/v3k/vz+ZAA3ARACpQIWAnEBLgJWAioC0gCv/zQAu/9h/6H9y/3o/lH//f9B/8AAZAJyA60DqwGUAMv/+/53/an7N/v7+w79bP4Y/nYAlQIfBO0EUwIGA7sBlQGg/tr7xvp6+p39f/2QAN8A3AOlBQsEqQN3AMkA1f49/bj6i/rB/IT9FgC7//0AqQJLAzUCWQIKACIANwAE/mv+3PxB/SL/3P5g/yL/4wCbACsBHf91/Qb+ff62/gj/0v6o/pUB7AAxAjACPwEYAogALv8K/kD9Iv6Q/ib+bv4I/7//cwDb/in/kP4IAWYBkABMAa7/fACD/2v9Pf3Z/SH+vf74/Qz+9/8KAaIBtAHuABYC9QHu/679hPxM/ST+vf7//On+DgEDAW0BnP8N/0ABeAGw//L9Vvw+/iQAGgCR/kD//wDqAkgDZQA4ASIBMQIpAar+e//DAFsCagFy/s/+WP9nAdcAof5IAJsABgPIAVgAigFFATYBrf6o/H/9mP7q/3L+wv26/kP/MwHk/wz/o/8qAEUB5QA8AdoB4QLyAT0Aav8z/tn+qP6b/3MAOwHnAiUEiAXPBBcDpQGRAQkBQAAr/yH/Qv8aAKwAPQB9AAgB9wFyAssBhQCEAJAAGwB1/kv9uvyk/e3+9f8mAaIBTQMTBEUEHAPQAegB6v83/nT8Wfr2/Yf+/gDaAi8DuQWTBeADIQIl/5j9Ev0N/TD+U/8GAgoDfwSDBDYCOAI6AUUA4AB5/u79wf7Y/ggAQf+V/8IBlAJ/AvMACgBP/qf94/zQ+nP7QvzE/QIBVAIhAysE3QNqAgwAiv/8/U3/e/66/Tv+BP6C/9X/aQB+AScDyQM2A8MCwAEhAR8AxP6C/QD9APwD/O/8uf0//4cABwK+A+4CKAJyAaD/gwCF/hv95/34/Kr+cf6g/bH+DP/J/78B9gBsAfb/uv44AP//bwIqAUQBzAB8/gn/kP02/isA8gDyArMEvwNsBKwCBQEKAPf9L/6g/Xb+LP9X/5EA2wAUAp0ChQEUAYQA+/8fAM/+5f7o/pb9g/zc/C/+Af+g/kz+Tv8GApQCZQGOACX/kv86/wv82/tN+079jAAhAZkCkAP6BKQEXgIXABr93v0H/ZD7l/va+Rr+VwHWAhIELAMeAxEEvAFnALL+if1k/rv8Cf1a/MX7Fvze+vH83v7YAEkDmAIZA18BCABNAAAAev6T/Wj8+/2YAEcAfP8iAMEAnQJdAcP/kv+Y/yX/lv1a/CP9iv9EAfoB0gE2ApECyAIaAYv+EP1v/K79+/x5+8L7F/ykAH0CIQPPAtABfwL4AbsAGv/Q/bv+cv1h/RD73fqu/Wr/+gGcAroD2QSoBd4DIwMrAXf/tf49/HP81fw2/xIBEwHkAXgC/wIYA8wAwP8DAFL+Nv7L/Gf9e/8uAO3/pwE5AaMBngHq/vv/u/4y/wX/lP02/rf9l/6u//gArALcAooCygLZAesBlf8E/Q79k/xG/Xb+Q/9YAiAEnwQSBWoD+gLiAWgBt/9K/Zb8EPy6/Qn+a/8eAfECrQUeBoQFCgQLAiH/+/tk+fD4ovo7/TL/UQBuAvwDlQUbBQEEfgI3ADD/bfxg+6/6dfme+9b+sQHrA3sFugYKCJ0HewYVBCcBy//O/H76dflV++X9IQBAA5kDdAXNBewELQPoAEkA7v87/+z8EfwU+ln67von+yD9RP/fASkDvQMBAhUApv3o+4/7T/sI/Jj9EAAnAksEJwQMA74CUwDM/vz9mf31/VP/KP/6AEoCuAKgA3YDtQM1A3UBj/6a/Tv9IfwV/Ej7wvxo/x0AGQKaAjIEFwQTA6MA0Px++735c/oP+g77Of3q/j0BMAJmA54CCAPvAIT+dvwv+iP7lPyU/hUBqAOvBWcGmwRNAYP/cf3y+2n7RPub/Jj9tP4eAFIB2wKiAxUEugJVAa//lP2g+wL6w/lJ+uz8tf+oAicEQwSCA6EB8QAw/1H+pP1i/d3+wf9eAecCGQQRBYsDiwHd/+39Qf3o/Db8V/1o/oUAtQL6As0E+AQ6BSwEYwAC/oL8JvwH/Ez8DP6BAEQDBAS/A10DngGTAIP+zvzy/Dj+Fv/uAJwBuAJgBTsENgN/AKn9j/zv+x79lPwu/rb/NwHtAv4BRAJ9AbcAUv8R/g/9DP5n/1n/dAAd/07/M/9p/qH+5v4SALsA2gBLAC0A4f9wALgAz/+A/jv9B/3S/Tz/UQDDAaECVwJ9Aev/4f2y/Sv9If4c/0gAgAKKA0kDQgJxArwBIQIfAMr+8P0I/bH9Qv27/rb/ywGBAmkCngKIAukCsAGD/6/9xPw3/cr9LP7e/sz/HQErAVABLAEQARkBGwCb/739n/3k/cv9I/4L/hP/mQBOAUcBggGWAZ0BFwHr/zr+HP33/Ov9AwBWAB8CwQOZBFwErwL/AK7/3v5x/e79Sv53/4EAHQB5ABIBDAJFAQ0AL/58/lj/2f6N/vP95f7U/48AmABmAD8BYwFPAc4AvABOAbgB+ADG/9r/sP8mAewAxv8O/3v+VP+8/7j/k//9AHkDwgTCBLMDTwIrAlgA1f2I/MX7Zf2//or/hAAOArAD0QSlBPgCCQIOAXr/3/00/OL7Wv1u/yYBTQOjBM0EwwT8AiMBqv8Z/i/9Sv24/Qb/LQGdAYoCXQKMAWIBOwBi/23+6P0J/rX+t/9dAL4AtwAXAM7/bf+O/6P/Ef8F/03+4v4W///+K/9K/x8AgwByACX/HP/D/v7+j/+p/in/cf+/AC0BUwEJAQkB6QHmAHEAa/+T/2UAjABmABIAaAAdAAcA+/7g/qL/ggBvAbQAPABf/6T+6f2L/G786v1b/+wAdQH4AIkBuQAi/6T9+vt2/Nf9u/6c/4EAJwESArQBgwCBAHIAzAB0ALD/jP8wAGkA+P9v/xP/z/9hAIkAgwDsAHUBgQGuAHL/y/7d/kL+7v2g/c/9IP9z//L/KAD+/6X/if48/TD88/tp/BD9S/7C/zgBawL1AUUAZf8w/tL9mP18/Gr9rf71/0wBhwGMATcC6gHvAEIAJ/9o/woAjv+D/9j/JQA8AQkBDgBoAHMADwFYAbQAxwA2AfIAQACm/5/+lv8DABQAXwDW/0kAnAChACIA/P+O/yH/1P7k/RT+yP4eAD8BMwKcAtoCpwLcAH//y/0l/ST9tv3G/q4AtQLZA+UEEAQYA+4B7f9a/kH9pvzU/UP/iADQAWMCoQLTAhMCtgDZ/4P+a/57/sr+yP/mABgCwQLqArsBIwH4/0L/yP5a/jn/aAAXAsMChgNDA0gDDwN3AWwA0v5n/uf+Ev+9/3UAWQHqAtcDjwOtAjcBz//j/sH98fxD/er9UP/XAGEBuQHdAQ4BSgAA/zb9/fyY/K/8Rv1g/Tf+z/+dABEBFwEsAPf/OP8I/u/8SPxE/E79of5X//IAYgEDAssBhQCI/0v+sv0c/X390P0Q/y8AqwA6ATQBKAGmANX/ov55/kT+1f6H/6T/ygDVAJ4BRAHmAI8At/8nAJ7/FADk/77/jv9h/+b+6/7G/gf/DwAVANkAeQDRAIEAiwDV/xH/1P48/gL/9P6p/ykAWAG/AWIC3AE1AYUBLwCuAGn/gP/2/4wA1wHjAcACKQITA1ECLgJ5AS0ALQAe/+3/jv93AI0AMwH/AQACsQLOAaoBiAD2/wb/2v7r/iP/BQD7/18BsQG6ArQCDQKkAaoA4gBIAIAAmgAMARQCswKiA/4D+QNBAzICwgAhAMf/yv9jAIEAiwHYAQYCbQEEAEz/9v3s/Vv9of0A/j3+u/4//uD9Bv02/CH7cPoC+jn6BftJ+xr8t/tz+6/6w/ne+H/4Lviz+Fn57Pk9+wv7jPsh+ov5y/g++GH5Hfkb+5j78fz9/af9Ev7J/OX80vt0/En8wP1r/vn+ff/X/k7/TP66/rr9jP6p/o3/jwBlABUBYgBoADAAIwCjAKgBVgKsAwIEFwWxBc0F9wU+Be4FcwbJBxQJSQpjC5EMHQ2QDfwNhw1GDgQO1g7ID7cQMhKvEn8TTBNVE+gSPxJfEisRTBFfEOMP4A88D6oOeA0yDPIKfQpXCa0IGwe3BV8EgAKFARr/cv6H/Or7SfuR+b/5NveL9mL0Z/Ja8Yzvl++27oDvL+/m75Lvy+4N7rDrh+s/6R/qEuoC64jtdO357xDvX+9j7qLs/+vu6m7r9+x47oHxLPMD9Xj1tvRs8zjx3++y7R3uSu0w8EXxCfSw9Vr19vVg8/XyWvDZ71XvMfAb8v7zifa29wz5kfhD+Oj2ifZ59l73R/lp+z/+vQCxAj0EigT3BAsFpQVbByoJeQxVD8wSjhWqF1UZ4BmQGuAaqhv9HJwepiBRInkjJyTiIyAjQSJ5IJUf1R0kHXEcdRtOGysZThhjFVMTrhDKDSgM9whwCKgFSAV2A0YC9QCK/sf9Cvvv+sH4vPia92L3Y/fD9kr36PUP9871XfcU98j3T/iT96j4r/el+Fz43vi2+Rv68fsP/D399fyf/Fr8X/tj+176Gvs0+v/6cPqE+lv6DPkk+ef2QPdr9a/1o/T888XzU/K98t/wxfAZ77LuGe617Zbtu+yk7LzrputF65nr1Osg7Irsiuwc7WPtWu3E7fnsAO567ivwsPGw8v30vvSF99X2yfin+fH54fxs/NQAmACZBCgFIQZECPUGAgvLCfENjQ7HEWAUGxalGboYBBz3GawcphsxHSIefR6yINgfMCKIIAEhxx+/HT4dChvkGqIZxRgVGEwWzxUJE7oR3w5oDOYKAQiUB2QFBQW4A0MCbQHK/nn+xvtd+9b5Vfmh+SL5RfpZ+Qr6a/kR+SP5IPgC+dD4Nvr5+uH74PwT/bP9Vf1l/Q79Pf10/Rr+vf5o/w4AIwDm/0j/PP5T/VL80/t9+2n7m/st+xX76fk++aD3qPY29Ur0u/MX8w3zHPLd8Y7w7e/f7jDuw+1J7U/tCe0b7e7s9uzx7OLsIO1J7aztOe5w7krvI+/c7+/vkPCh8UDy9fOD9CP28PbX99f4LPlp+gv7zvwe/hoAvQFIA7AEcgXuBnMHyAhMCqYL6g7BEOcTbxYvFz4a7hhDG+QZGxswGyccJB5QHjkhpx+aIYQeZh7MG0saeBmyFy4YgBZwF5gV2xTIEd8OlgvdCEIHOwXZBBADMgOBAWkAJP6B+575VvdB92r2lPeN9/H3Gfgh96P3BPaK9pv1cfbI98L4NPsT+2/80PsH/BX8p/t7/JH8JP63/lYAqQBTAcsAuf9H/879lP6F/Xr+w/25/fj9tvz//Lb6Y/p/+Or3PPdB9hL25vSa9DLzaPIL8QzwEO/67ZTtr+zl7F/sauz364zrWevE6oXqLOoi6pDqIOvn6+7sD+0v7pjtZe4A7qLuXO9R8I7yjfM+9pH2sPhI+IT5kfnW+kj8nv1zAFAB2wQ6BckHvAerCNgJyAoADpQPiBPXFYkYyRo6GwEcIBvcGpYa0RosHD4dwx9RIPghziDeH38dIRrjGG4VXxZJFTMW4xalFHUUuw/zDP0IqgVrBAMDWAM2A3MDUQIiAcv9Qfvx99j2m/ac92v5UPo6+xP7mPpO+XX42fal9374F/sv/oL/CQEJACv//P3+/CD9kf07//gAPwOxBAAFIgQxAl8Awv7I/uT+QgDmAEQBoQFNAHv/4/y7+ij5N/hT+c75r/rI+Tz4IfbM8/zxWvAi7+Tu9u6S7yvwT++G7ibsqOp/6eXozuly6oPrJuzx62nroerU6T3qberd6+Ts3O337uTuq+917/fv9vA58jj0TvbE9+z4rvlx+XH6tPp//Ef+HQBpAqgDvwWIBvMHygjqCbgLoA2wEHcTkBY2GV0aSRu/GgEawxkNGfwZ+hp/HJEeByCeICchnh5gHNYYRxWMFJsSSRR3FCEVmxXnEs4QQgvwBsUCkACVAPIBogOOBHwDmgAm/b74ufZ89Cj1bfan+Nf7Yf0I/sP7gvn79ub20PfW+Yj8bP5SAboC5wPrAgoBFv9K/jH/FwF5AxYFPQaaBnwGgQWrA4sBBACb/84AWAKIA50DWwJ8AD7+GPwx+vn4hPjY+Mn5UfoV+oP43/Xn8nnw/O6M7uHuNO+977Xvv++s7h7tA+sA6VPoTOjq6f7qs+wL7c3sIewW6lDp/ee06GLqPuyY7lHvwO9S7yDvy+4u77rvUvFt82n1nPcg+N74t/gb+UX6Zvu6/eb+NAHFAnMEmAbVBxUKpQuMDZYPDRL8E/kWABjpGAYZ2ReiGJAYURoTHHIdNx89H0Qfex5AG20aQBbbFWoViBWIF+oWRRfbE4QREgwSCdcErgPeAy0ECwd3BZ4F5wFS/Tz7FvfA9y34Zfg++wn7h/2V/ZT87/qC9wD34fcQ+47+JQHzAYQCDwLZAYUBdADGAPkAmwMIBlgIQwmKCLEGBQULBFoDNAT8A7sEZwWSBUUG+gQZAxMAI/3I+2X7svyV/dT9Rv1Y+6T5pPeK9QH0lvLz8RrymfKS8sHxFvAH7vXsU+xN7GnsnOtm6+rqROsI7DrsWOxx63zqu+lz6a7pG+rI6qXrGu1y7iPv8O4i7iPtc+3M7lTwMvOJ9Cv2N/ch9/v2PfaS9Y72ifhA+7z+XQBiAuICMATbBYEHKgr8C6wO+xD1EugUNxW3FTQVmxXZFrgYzRvbHTQfyyD8HbIdLhrAFlcY2BQLGvsZQxs+HD4XhxW/Dp8KlQhNBoIJ1gkVC9YKigaJBIT/cPxl+m34wfmz+yn+BwDg/qD8x/m69+b3WPib+s77O/6gABECSgPcAZ4AGv+V/3kBZQQpB8YItQlyCe4IQwg6BzsG7gX2BcAHdQmoCqQKdAiFBsED0AKjAVgBkQGCAXMCJgIkAWL+RPs4+P/2Jfeu98r4RviT95r1Y/PZ8JDuEO1m7FXtUe5j76/vlO7i7ADrMunB6J3ojOlI6lvrI+wX7IfsuOrV6ZToIeid6drqMu3Z7sTvCPBW757uQu4a7lbvvvB58o30dvXr9Uf2TPXA9c71zfbC+QT8+v4tAawCwgSrBtMI6QodDLoOQQ+jEeURQBI9EwYUcBeOGkQe0x/+ILQdlxtSF9UU/xUrF48cSx/wIJEefxkqE8INBwsxCpQM0w0AEIEPIQ3oCTwEv/9v+4350/pm/foAxgENAZz9LPrk96z2YvdI+H36Df1QABUCeQKRAPz9vPy0/ZYAwARgB+oICAmgCMsIbAhQCFMH/AeYCIMLfw2FDu0N/ApBCQ8HCAdDB2IH0gdxB4kHIgf7BY4DeQBT/QD8LPwG/ZX+V/3D/ML5cPd19YXyevHP71zwBPH/8c7xn/CH7r/sO+s66ibqcemm6knqu+vR66Hrjet+6b7oDufX5s7ngely6wztNO0a7WrsKuvv6vrpa+pi7Inu4PFc89jymfEF71vu+O6X8J3z8/Un+OP6DvsB/ZD8lf3s//wBxwczCi0PXA5RD6cMkAz1DYcPRRb2F9oe5x7KH28c5BcDFegSaRaXGdgeoiDYH60cmxe6EsUO6AxfDHoOTRALESkRygwjCSUDov7L/FX87v71AGUC9QGm/wz92vm995T2RPej+VX9agA1Av4B+v9l/lf99P24//gBEAWaB88J6wqeCvgJqggOCOgHAAkIC9gNqA/vEF0PvA1XC08JeAl0CCkKtQr6C1IMqAoICBYEygEQANcA8QDPAe8A+v+r/lz73flS9hz1gPTr85r0ffTP88HyRvFq7tjt5OtU7EfsdOyi7PLr8uvq6nPqZelF6afoF+qz6czqwOpM6hHr3en36WHpyOnm6tzss+0k7njt6Ov763jr4Owj7iTvWPBG8BfxGvG08UDyB/NC9Dn3vfkn/mIABgOBBIEF8waHBx4HAAhICCkMQRL6Fdkc0Rk8G9wWwBTWFOgT1xcfGXofnx8tIt8cuxjREsIPFhDcEMcUDBQ5FdYR0w4DC0kGtQJYAMv/sAE3BFoFngQJAen8p/kj+CT42vg6+j387v5EAbMBJgDi/Q77BPyG/XYBEAVPBwgJ6gikCEQHygaeBjoIRgo3DY8PlhD1EA8PCQ5hC+cKgQs9DBgP8Q4cD4YNvguUCawH6gUnBU0FSgXzBVUEKwOWAIf+qvxy+m75LPhp+CX43vdU9rD0yPJH8erwfe+c78jujO737pPuBO4i7YHrLuuP6uvqfevG64TsuetY6xXqPOmg6fbpTOvZ69XrkuuI6ybrFOs/64Dqjusn64PsO+3a7X7ulu0q7TLtB+6i78/x7PIB9Q73vfqQ/rwBswMRA0oDuQK9A7wGJAkjDzsThReFGfMYWxZqFNwSSBT+FywbdCAQID0hiRwUGQMWaxLIE38SoxRIFV4VyRQZEfALrQZ6AhACIANCBBUFIANYAm0Aff4u/L746/bF9u74iPwV//n/fv+W/Wn8YPxa/O7+fgCOA10GAQi1CfcIWgj6Br0H0wj1Cw8PHhFhEicSahFdELEPWA74DcUOkA/bETwSUxHXD9UMbgt4CZcIRwdEB0IHeAdXB8MEJwLZ/ov8RPui++/6x/oF+uP3pPdO9Xr06/I58Y7xbfAg8mDxdvEy8Jbu4u387Ivt6e3B7oju7O6+7VDtj+xd6wvsduut7A7tCOzk7NLqlOsd6zHqseoa6ZnqKOra6orqkOmJ6QXph+qa6kjrjOsj66/st+2p8EbzvfcM+5b+ygHFADIBEv41/tgAcgZ2D28VWhmkF6UT6hCqD/YRURX1F+gbHB9cIGEhdxsnFggRZA6DEokUZhheF+MULhGFDF0IugTCAV0BxgJqAyQGHgMXAnn9hPkd+MP10PeB+GD7evyn/dP96PzF/Df7MfzH/H//GQOIBaUI2wgjCdAISQjvCJ0JyAtmDq8RQRTpFGsUWxL9EBUQeRBsEa0SYRSXFB4VeBMPEVQOLwtECjQKjwudDH4M3gouCOYEDgKc/0b+cf5D/nL/Lf7b/MH60veT9nv0BvQ69Lf04fXS9YH00/Ld8K/vl+/L76fwQ/Hc8ZfxZPBk773t4+zq7JDsIe2l7QDtIO2869bqnemA6GLoMOgU6UPo5+hf5+Lmaeb/5FLm8uVM5wfoE+j858LnzecJ6UjslvAf9/H74f+L/vb7kvmC+OT+1AOwC9MQchOrFPwT/hEuD9kOog+SFM8a3R66IHMeIxmGFQURLhF7EbIS1BVFFLgV+BGiDe4JSQNJAp4A1QHEAxMDSgN+ACH+6fsB+YT3ePbI9i34e/uu/MD+VP7F/Pz8R/vp/bz+TgJDBb0H7ApvCy8MOgt0ClEKXAx4Dr8SHBXyFRsXshTIFCsT1BFBEkwSoxTGFagWORV8EiEQhQw+DAALlQtGDD8L4AvuCHYHhQTwAeEAi//6/+T/8f8r/3X9ift7+tn4K/n1+I/49/ju9173DvcL9n71ePWI9E31UvRj9MTz9vIs83Lxt/F572TvVO6B7RTuWuyU7J7qs+k36UnonucE5znln+Xf5E7k0uXZ4Pbk0uHj5KjpP+SH6GTgneAg43PkTu4y8iT4W/s5+6/6rPm49635D/+EA/gORBHvFe0URw+HEJQL9xDkEywYUx0MHqoeEBx9GL8UfBLkEGYTBBSpFlMWuhJVEOkKrAeqBYoC0gLBAcQBowJKAe7/pf0f+jb4cfeS9qL4M/ml+3L8Y/0V/on9Vv7O/RT+egC7AuEGyAq5C4cNSgyUC18MNAyVDv8QkxNEFpUXhxeqFUcUNxLAET8TkxPbFcsVqBSaEy4Q2Q4+DCkL8QqkCn4L5ArpCaoH8QTWAkwB2ACEAeAA8QDL/5799P0O/HP8Pvwu+xz8Hfs6+5P6q/kx+fn45/i9+CP53fdS9zD33/VD9V/1G/P18+zzj/HP8Qbvouzt7PzreeqN7B7oFOdO59/jnujX41/jDd/u3OfeGd/n5trkM+eR5KLfRd/E3JXdouEU6UvvDfk2+7L60PkY84T2XPdu//YH9gzXE8cSEhWfEQwQ2BCKEIUVTxlRHTYfxB4GGyUYORXsEtMT2hLPFNsTdRP4ETwOkgt7Bt8DhQEUASQB6QA1ALv+Zv3V+536lvnQ9/b2LPcO+M76p/zq/TX/IP5G/nj+Q//CAtcExwcDC1QMgg55DmwNVQ0SDvYPSBNcFj0WiRdCFewT9xSkE6cUaxSOE5UT7xIdEhgRHg8hDQsMzwonC7EKCQivBx8ErQMgAyQC1QIwAXEArv8Z/rz9jf2U/Hv9pv3t/Qb+oP3j/An8zvtm/Jn80fxd/WT7L/ws/Cj5Evpq9er0x/Y69hT6y/bk8wjwCO3B7XbthuxE6pnndeYG56vnW+dz4n3eUNml16zaQtyE4PriYOMS5FLgft002f/Wl9rc3tbpvO/19fj20/TT9FjyzfV9+XAAXwctDR4RNBKlEooQ7hDND8IT8BWaGVAdThyLHUkZnxcnFTkToROAEiQTZRLWEQsQKQ1KCh4GAwPWACX/fP9d//P+/v5G/fH7dPlN9xP2mfbo9wP7Ev1Z/lf/eP3S/Q39rv53AUAEAQixCqwMaA7fDqIOuQ7BDhUQ0BHjFN0VIhgnGJoWphYqFMIT9REAEUQRcRGoEgoTqBA5D5MLwAiLBx4FHQapBcEEtQYjBO4DIgKv/rv+xPvJ/SX9of4sAJn/Af+A/ov9sv1Y/of+eAD0/+0DkQBSA93/G/6j/7/7TABJ+/n7Dfhw98P2UPhL+U731PfU8IbwaOoE65PoBer26YPqiur45YDiktqC12bUs9Zi2k/f2uHl4lzgi93r2cTXItg22pffp+W06wbx2vMz9Ej0WPMq9kD5wv8pBrIKaxDwEKsS2BF7EesSQBMjF54Y4BtDHEIc2RptF5gWjxPkEtsR0xA7EMkPSA72DCMKEQfYA1kAxv3G/C/8Ivyc/eP8ivzO+rX4O/bP91H3//np/GD9FQEiAAoBOQFCAcMDcwRICF4Kig0kEIwQkRFAEToRIhJ5E/0UKBd5FjEXaxjBFiIYCBXaEvkRVhDaEC0QaBDRDrENcAotCeUGgQVtBH0DzgLSA5cDvAIbAZz+9v25+tz+Rvv0/gn/Dv44A+n+zwKQ/lz8y/7H/zcFOgezBbkEUAEQAigDPwF/Apv+Sfzq+ln5Ofle+O/33PeV9lT4y/NR8FDrJObY5h7nY+tB653q3OXC35bZ+tUC1OrUX9o63UPjseOg4Sfdktjo1hTYcN7j43zrSPA58iL0FPOP9I310fkh/rADlgj4C2QPSxDHERUSBBM/FIYVNhanF38Y9BgAGg8YDBZfEx4QPA4dDfgLsAt5DM0KgArXBooDk//l+y/6NPjk+ZT5nfun+2r7SPuj+ar4rPjO+MT6P/4HAKMC0wOkA+gECQZACJoJgQyxDfQPQhKBE3kVDRVbFsUVARenFs0XlhdXGLoYwxfGFowUcROrEJIRDA7PD2sOvw2PDtcIAwq7A6UESAMkBOgFFgRLBksBRQPKAKP/dwFg/lADcQKVBj4GIASTBOkBFQP8A1YHewYqCssIRAjtCA4GHQVoA60D9gPkAnYBbvx/+EX3Z/U+9vb32vbd9LT0bu7u7DjoT+SQ5ETj2eZi5jzn9eK53hfYuNNg023SmtnO207hEeKt4f3e8Nvx26XbLeDU5Brrse9B9GX2F/jl+V/7ZP4wAV4ETwjzCc4O8RB/E/sV3xUDFXwUgxNlEhYVghR6FpYWhRQcE5sOpwtNCHoGfQUzBkUGqQWMBdwAYP7W+RH2bPWx9E72qPgS+uz6ffuV+dv4ZPg/+HT6z/zi/mABwQPxBJ0HaQikCYkLtAtQDugPtRH2E18VYBb+Fr0WiRU4FUIU+BSSFcMVQRa5FCQTNRGjD+wNZQ0lDGkL9Ao3CjIJuwdLBsoE4APvA2MEzQTjBHkEfQIeAsAB4gFWBKMEpQaeBugGvgZrBhEHDAfMB1kI6QmwCpkLxApCCaMIjQfpBWcEvwH7/n7+4/wv++z67PWA867zJ/Jv86zzfu8i6/TqNeQY5Mzio9344DXeyeK232/gg9ks09HUwc4T2efapN6e5OvgkuBa3gTcrNu14f3kiezY86r0lvm++K36v/ts/zEBigQKCgoK1w88EL0QxxOqE6EUKxVsE7wRqBCpD5oP4BDvD6wP4Q1vC5MI8gSxAdL+6/4Z/r3/T/8N/eX6U/b4897xKPJn88n1DPiS+W76vvkK+mL53/qV/KL+WwGWA+kFzwd+CvQLuw7qD4ERGxJQEjgTZhNJFSUWJxhPGNAYrheNFr0VzhMlFNISNhOmEjoS2xB0D7gN5QuVC5YJCgo8CLoHdgZrBY8E3QMXBIQDxgRvBFwELAR1A+oCmASQBKMGTQglCIkJ+AjhCAEJLAlhCRoKsgq3CtAK7AokCUUJEgedBPcC6P84/oz9evzT+6b7h/h29wz0efLi72Tu7O2+6cXrauX05JPjw97m45neeOCm3KjZt9gb133aedkr3vjdauE95CnlveQx4izfPN7L4qjncPCP9oz6Rf3B/TT9Tf1G/Zn+qAIsB2gMMhBbEjwSZxLhEcQRbBHIENUPVA/0DngOxA7zDdoNtAxxCygJOQZWA3IAdf/A/iv/R//X/vT9Svye+r/45PeM93/4K/rt+439a/71/hf/oP9KAGsB9AJ8BGIG5gc6CUUKQwt/DNYNRQ83EJ8QchAoEAEQWRDzEKgRVBJ2ElkSnhFyEBIPlQ2fDBcMSAyJDOgMlAzPCyEKWQiGBjwF/wTWBMIF2QUvBugFWQXFBJIDFQMPAnwC4wIYBCwFUgWeBdYE7QSBBKsEJwSXAxwDnAJ6A74DzgQkBN8DNQJ3AW8A+v/p/0H/XP9g/jD+M/28/Ir75vqm+eP4sffr9jb2BfbB9Vr1o/RE81/ytPBr8Gvvou9B78zv5e+f8NDwq/BT8GXvo+9S74/wt/Cd8ZbxjvEV8h/ybPME9Bv1HPau9qT3+feN+Pr4lvmG+oH7o/yY/Ub+yP4u/4T/AgBzAB4BrwFDAqgCxALQAtcCKQOYAykEmgTVBOsEygSoBHYEVAQ7BFsEtQQWBW0FhwVtBTsFIgUNBRsFJQU6BVEFbwWaBbgF5AXfBfwF4QXwBe0F5QXlBcwF5wXNBfEFEwZdBqQG2QbiBq0GWwYaBjAGSgaCBqAG1AbzBjMHYgddB0MH4AaiBm8GcQbSBhsHcAeHB0MH6QZhBlYGWwaMBoAGNAbeBYYFcQWJBaQFlAVzBdEEiQQIBAgE7gO4A88DlAO6A1gDGAN+AgsCvgGgAacBYgFIAdkArQBIAC4AAgDg/8n/lv99/wD/pv46/u39vP2X/W/9N/34/Nf8mvxj/Cr8CfzZ+637qvt5+177D/vP+n36RPpM+jn6F/qU+RP5k/hY+Gr4fvhr+B/4qfcm9+H2wva79sX2y/bb9t/24PbV9rP2pPbA9un2Pvd199r3Q/jL+FT5j/nF+c75Gfp0+v36j/vq+1j84Px9/RH+Wv6V/qf+7/5e/+7/ZwC0ABIBSAGgAc4BKAJNAokCuQLtAkADfAMCBCYEYQReBJ4E/AR1Bf8FIAY1BucF4gXpBR4GegawBu8GCQdPB3QHlAeZB4UHdAcbBwMH5wYBByQHLAceB9wGiQYPBrIFTAUTBeAEqQSKBHEEawQ1BOIDeAMuAw0D7QLAAmwCFgLIAXEBMgH8ABgBagHVARAC4QF7Ae0AuwDAAO0AzQB3AEgAOgBiAIAAdAAiALT/Tf8h/xL/Lv9R/yz/wv4p/vb90f3S/dr9oP1P/Yf85vtR+yn7FPsF+3T6tflc+Vv5x/lo+Qz5TPj89/H3BvgN+Iv34vZv9mP2k/bT9gX3IvfA9ov2AvbK9X31dfXQ9c71wfW19eH1GPZf93H45Pgk+IT3APhJ+Nj4Ivnt+Xb6WfsK/JT8z/wC/cz9NP60/rP+3v4k/8H/mQBBAQQCTAJbAmoCrAK2AlYCFAJUAssCRgOvA/4DJQRNBI8EsQTDBPQENwU4BR0FJgVXBakFAwZzBp4G0AYAB08HMAfLBn0GUAaqBi8H2QfbB60HTQckB0IHBwfaBkIGNgZaBuYGUQc8BwsHOgaOBcYExQRoBW8GGAeVBlEFtgMMA1oDhARrBZEFCgVaBPEDegPpAlkC+AEBAioCVQInAtUBfQFTAU4BMgH0AJcAYAAcAAAAw/+i/4f/Uf8T/7v+tP69/sP+ov4c/uf9KP6T/pD+pf2r/OL7afvG+9T71/t7+wP61/gd9zT3vPeU+Lv4HPcQ9TvzA/U19yb4lPYX9InxD/Gp8jf0XvaZ9Ibyg/Ek88j1cPa380nvte3a78zzivVx9VT0HvXG9sr3oPhb+GD3dvcS+Dz7w/7F/wgAW/+gAJQBsALbA3AE9wQVBQcGtgbaB7cIFQlGCTYKkAssDMELRQpHCVUIigg8CewJbwoBClAJPQiFBxQHQgcJB9EGdAbRBboFsgWvBjwHbAc2B2IGhAagBrYHbgieCI0IZggfCcYJDQtJCwQLAQoCCVUJ8AkACxYLIgt7C8YLtQtSCicJiAidCHoIBgimB5EH2AedBwgHOAZTBesEEwU1BTsFYQQYAxMCrgE7AtcCKgO4Ah0ClgH9APcAyADqAAYBKgE+ASoBFgHMANAAyADzAA8BwAAuAEX/kv4P/sz9d/3j/D/8Xft1+nf5YfhJ91z2jfWH9G3zzPEZ8FnuA+0d7MrrTeud6jTqdOll6RLpaOjU53vnNeer51Pnjue154/pfutU6wXrMeb65KHkIucw7QzwkPNi9ED1KvcH+IL5avkm+vH7fv68AvwEEgdKCJEJVgz+DbYPPA+kDpENsgwIDbAMiQ7LDwQSchNBEjoQ2Qu3CDEGPQV3BToFcAXsBOYE3ARHBEMDjgHy//r+jv6q/u3+Q/9JAOkBOQSXBkYIDAmzCPgHRgdFB0oIJgrUDK8PFRKwE9oTDhP9EbkQjBBzEJIQuBA5EAkQbg8zD3oOzA3sDC8LyAmDB7IFkwTQA00EzAQHBdYEjAM/AqQAav/h/pL+i/84AJ4BdwKPAvQCHQI1AhECHQIJA10DDwSzBEwEpARRBFQE8ASiBOEEgwNnAqIAGf+8/uj9lv7+/Y79JfwQ+n33lvS98bDu5+yp6jfqUuke6YLoBOec5Y/j6OGx4Mrf0t743kPeI9/l38HgN+Ls4rPjfOQN5S/mg+c46Svrn+tI7cvro+xq7UnuNfM29ZL5z/y+/W4AQgAiAWYCywMnB1AKGg69DxIRJhEuED4SqRF3E3cTlBH9EBwOPg2DDDsNSg7vD1IQ0Q6cDCAIwARiAsQAxAH+AYgD7wMzBL8DPgKXAeD/dQBjAMYBNgI+AxMEVQUMCKIJ0Ay1DSoP8w62DuwNSA0/DnsPABPkFXIYzRjQF6UUYBLrDx8PyQ/4D3cRkxAdEJoNzQvwCY0ILgimBt0FqgNpAt4A6gAqAUcCYQO/A90DmgKzAUAAWgDQAIECTQQaBlMHlAg/Ca0JcAruCZQK6wnmCT0JHwnHCBwJCwoZCusKZgneBxcFXwIlAHb+hP2l/Pz7X/pR+Jz1tvL37+btrOsM6gXo5uVm5InioeHx4DLgZ+Dy39rf1N+i3une6t0p3gjfQt8v4grjyuVs5y7nVOkj59TpL+rZ6z7vpu4N8gTxlPK18xT0S/ck+Jf66vy3/AIANgFZBKIJ3wtsEJQRkhFsEScOXwypCQAKgAxPENUV6BVEFvAQtAxkCckGLwbEBYsFqgXdBuIFiQYnBFMDLAIyAkICEQErAOb9Uv4q/+4B/QTBB4gJAAvyChAKGQmhB9UIlQquDogR3hO3FNUTcBQ7E5UTSxM2EpgSbBF+EcEQ6w/1D2kPCRBND+0NmQvjBzQFfQJMARQBbQF1AiwDbgONAhIBI//n/av9N/6U/4oArAFPAj0DXQRCBYQGCAe3B+EHCAhYCKoIhwlwCj0LkAsFC7cJNgibBm0FyQTgA4QDXQI3AZP/cv18+xL5Yvdd9QH0IfJu8Kjux+yC69Pp8+g850Pme+Qt48HhZeAf4JrfzOAS4VXiPeI34vfhLOHb4ZrhHOP747HleOeD6Pjp9+l26pTqMOvv627thO478N3xrvJB9Df0nvVp9jb4j/og/L3+qQCGA78HlQsfEAQT1RO3ElwPhQtRCS0JQw3XETgXUBkPF6sUYQ1FC4kHhgbhBu0F+wZVBgEH/wU5BhcFWQWqBAgEFwJnAC7/9/7tAdwDWwjDChwNjQ5jDpgNMgzoChQL9AyKD7gSZhSJFSQVBBVQFBcTRBJREEYPYg5MDQwNSQyNDAINpA2FDbEL2AjtBBgCOwDh/3oAnQGUAmMDygNxA9cCwQEYAZ4AMwFhAU8CNAM3BC0GaQdiCdwJlgomCmkJtghrB3EH1QcDCZMKbAvjCsUJzAaOBPIBRQBR/0v+Kv42/ZD8HPue+VX4rvaZ9fHzCvIi8Ezu1+wd7IDrEOsp6xjq+uml6PbmVOUP4+jhmeE94mDjD+XV5YLmWubG5erkguRa5JvkAuaD5vjnP+n96SLsweyc7QTuYu1r7Ufuw+4g8fbyjfTi9hP4GPoi+379w/7/ANwEqAY5DGMPahJUFqgUAhXLEJ8OOg0MDsQRCRSMF80VFBWnEF0OFgvBCe0H6AbCBhgFpwYrBEsGtgQCBgMGaAX5BNYCgwIJAd0C+gPjBsgJWQyNDuEPgQ84D8ANmw3lDRIP7hC4EawTTBOgFNETYxM5ElMQ9Q4KDR0MfQo4CnQJCgpACnwKzQlECIMGzQNvAnQAFwANAPwANwJmAxYE8QMBBEEDvgNwA+IDogPCA3YELAVdB0oIMQqPCoYKHwppCGsHKQYPBqkG4geBCKoIxwfxBTUE7QGDAKf+7P2a/Aj8afvr+cj5RvhA+Gf3cfY79RPzrvHa74XvC+8X7wnvSu567ffrfOon6QfoXOex5iTmfOX65MvkNeXD5a3mP+d853Pnhubm5fzkVuU65gnoz+n26snr3+s57JfsrO0w7gvwy/DB8qjz2/Td9aL26Pmc++X/0gHZA0MFFwdxChYORhP5FcUX2RbwE5gQdA6YDegPkhM2FowYRBbJE6kOEgzlCZcIRwnFBjMH+gTcBNgETwX1BqYHNAmUCMQHcQV1A1QCWQPWBZoJkA1VEGgSfxI9Ep8QkA+KDooOnQ+eEBsScxLPEl4SRxLLEfgQgw8RDdIKSgjLBucF4gV4BicH2QeuB9cGBAWnAn8A7v5W/rf+tP/0AFUCSAMaBGAEUwQSBKIDcwMmAzoDggPeAygFQgb4Bx4JUgnUCBoHcQXLA/wCtgIQA0wDmAMfA4oCawESAPj+X/1F/KX6UfkE+P72sPaf9vb2R/ft9kr2CPWH84zygfEc8aHwIfCo797ucO607R7tfexn68jqfemO6HjnjeaX5sDm9+fP6FrpR+m06F/oMuiL6B/pgeki6pDqSusp7Nvsvu1b7nnvVPBv8frxhvLX8hT0l/X591H6A/zX/YT+ggANApIF5AjMDHQQ1xGqEqcQ4Q4LDfkMdw6FEPASlxOOE1IS6xB3D4YOjQ2RDLgLVgpHCe8HfwdeB6kIHgpvCyYMGQujCTAHvgWsBBsFTgbzBzoKwAshDVkNPQ3WDJ8M1gz5DCYN+gyjDKMM4AyWDW0O+g44D54Olw3YCw4KOwgBB4YGhQYHBygHMAeNBusFFQVqBNQDMAPGAigC7gF+AXsBigH2AaUCYAMnBFgEUwSaAwYDZQI1AmICvwJTA4YDzAOBA1gDCAPGAp8COALbAesAFQAI/1H+6P3G/cr9nf1R/XP8ifts+pP54PhE+Nb3QPfU9kD2Avax9X71SvXE9BP07fLD8XHwdu+07kPuCO6z7UXthezR6wrroupJ6jvqKOof6hrq/Okl6jnqquoc663rBOwt7CHs2uvO69XrMuym7FHt0e2D7hnv1O/J8LPx2PKj86H0JPUb9iD34vgq++z94QCFA+YFNAeZCOMI5QlrCoULmAyvDfIO0g/7EHkRcxK0EkETEhPPEkMScBEFEWMQoBCkEDYRhxGqEZIR+hA5EB8PNg4+DYkM9AuYCzYLAwvbCtQKCAsiC2gLcwt4C0QL/Aq8CoMKcwqECq4K0ArtCtYKtgpVChYKrwlhCQAJgggaCHcHAQd9BigG+QXZBd4F0AW2BXEFFQWXBCUEwQNwAzED5QKbAjYC9AGvAZ8BjwGPAYEBQwHoAFQA0f9J/xP///4r/2//pP/f/9b/zv94/x3/o/4Z/qv9Q/0T/eH80Pyz/Ib8Ufzv+5H7I/vM+oH6SPoi+t35hvkA+YT45/df98b2NvaY9fn0NvRs85DymvG38K/v1O7i7R/tXuy961Tr6+re6p/qkuo86vrplekx6f7ou+ja6MroKelJ6YrpsunV6SnqlOpk6/3rB+2g7YnuO+8W8ETxi/KL9GL26Pj7+jr9If++AFQCngM6BZQGOAiuCTULqwwCDlEPahB1EV4SFhO9EygUbxSwFOwUOxWJFdsVABYEFtMVbxXsFEcUnxPbEh0SYRGMEK4Pvw7hDSENjwwxDO4LvwuRC2ULJwvoCp4KSAoGCsAJlglgCSQJ5AifCG4INggMCL4HVQfSBkgGzQVcBRkF3wTTBNME1gTYBKgEaQQHBKsDVgMMA8ECaQIVArsBdAEoAd8AmgBfADgAEQDs/7D/af8o/+3+zf67/r7+xf7e/g//QP9p/3H/Wf8x//D+sf5i/ij+/P3o/fr9HP5T/l3+W/4c/tb9c/0E/Zj8I/zW+4H7R/vp+nb61/kZ+Uv4bfeJ9o/1rfTB8/LyFfJY8W/wje+l7rnt8uwv7JXr9+qf6kfqD+rM6WzpEOmQ6Djo1ueu55LnoOfS5xfojOjx6Hjp8+mY6mvrTuxQ7VDude/D8EXyHPQb9mL4q/oX/VT/WAETA3wE1QUHB2QIrwkyC6YMHg5nD5gQmBFeEgQTexPoEzsUeBScFKwUsRTFFMwU2xS0FIIUGBSNE+MSBBIdEQ0QDw8WDjoNkQz5C50LZgtkC38LkwuZC2cLGgumCjEKtwlCCfgItwipCJ0IgQhLCOgHbwfOBikGcwXBBBYEfgMoA+4C8wL2AgcDEgMKA/gCuAJsAvgBjwEuAdoAmQBSABsA3f+5/6j/rv++/8L/0P/J/8f/uv+g/5j/gv+o/8r/EQBaAJIA4AAOAVkBZwF+AVoBGQHfAIMAXAAUAB0AOQCAAOEAJQFmAUEBDAGUAAAAeP/H/mL+2f2X/TX90fxj/Kb7APsP+k/5U/ht93v2ffWR9J7zwvLu8Q/xVfCX7+/uQe6Y7f7sX+zs62rrB+uD6hrqi+ko6cHojuh96HPovujs6GDpxelD6tfqdutC7BvtGe4p71HwwPFi81r1q/f/+X78t/7bAJoCBwROBVsGigfACCwKlAsEDVgOgw+FEGIRHRKmEh8TXBOIE5ATihN5E14TQRMuEwYT0hJ0EugRRhF4EK8PyQ7iDfMM+wshC2cK8gmjCZMJtQnlCRsKGgr0CYkJ9AhcCMoHYQcIB9EGngZvBjEG1gVoBdwETASyAy4DsgI8AsgBVwH3ALMAdQBMACkADwD9/+//2v+s/1//9v6M/hf+sP1Y/RL9Df0w/Zz9G/6w/i3/h//M/97/3f+3/5j/iv++/ysAzwCHASMCpwL7AjADMAMNA8oCjgJtAn8CogLSAgQDPwOKA9EDDAQXBOoDfgPqAjIChQHJACkAoP9M/xf/5f6Z/gb+av2h/P77KvtR+lX5Q/hB9zv2WPVq9J/z4vJR8rvxF/FQ8E3vY+6F7ezsV+ze61Xrzupd6gHq1Omc6Zzpq+n96VnqtuoU60rrrOsy7P/s9+3u7g/wR/Hn8s708/ZB+XT7l/17/yABcwJtA1QENAVhBqcHIQl7Cq8LvwygDYsOLw/SDygQbxCGEIsQbhA2EBMQ9A8oEFYQlRCPEFwQ+A9vD9MOGg5ODWUMfAumCvAJaAkDCbwItwjLCAgJEgkDCbcIVggRCNUHrAdwBy4HzwaABjsG8wW0BXcFVgUuBQsFwgRSBMUDNwPKAoMCUwIZAuUBuwG4AcsB3wHlAd0BuQF8ARUBkADm/zT/lf4a/sP9gv1L/Qj94/zK/Mz8w/yo/GT8//ug+zf79PrO+uT6M/u9+1j84fw//V/9Wv1E/R/98vyk/Gz8V/xn/Lb8HP2n/TD+wP5A/5L/w/+y/6P/f/+C/3z/lP+U/4z/ov/D/zIAlwAcAYoBxQHeAWwB1wDS/9n+3/0T/ZD8G/wF/OL7GPw9/Gr8Uvzj+y37CfrM+E73APbB9PXzafMk8/7ytPJ88g3y1fF18TbxwPAt8Ijvt+4W7o7th+327RTvpfB98lv0/vVo93/4e/lj+k/7QvxE/Uj+U/9PAFUBcQKwAx8FnwYNCD8JJQqsCgYLJws/C0oLTwtNC0wLWAtmC5oL4AtTDMUMFg0fDbcMAwwDCxIKSQnXCLwI2wgkCVQJdwlZCTkJ/AjaCMYItAiuCG8IPQjXB5MHQwcEB8oGcgYRBnkF4AQfBHsD1wJYAvIBlgE9AecAowBrAF0AYACBAJoAsAC+ALkAxwDPAPMAJQFOAVUBPwEWAc8ArwCjANAABgFbAasB3wEgAh4CSAJWAoACogKkAp0CXAIiArUBiAFVAUYBeAGYAeEB8QHGAUkBegCD/5L+0f1F/fv80PzB/Kn8dPwf/Lz7Q/vz+qj6hPpV+hH6w/lr+SX52vip+D74BPiW9033DPeu9ov2TvZY9lX2kvbJ9jv33Pez+Mb52vrV+2b8s/yn/GP8Kfz++xb8q/xj/X7+iP9OAMoAygCaAAAAcv9y/nv9avxn+8b6b/qZ+iX7Qfxa/cL+ov8TAPv/Sv9a/l39f/zG+7P7svuB/Ij9xv41AFoBUAL8AiED2wJDAhcBAADe/gP+ov2o/Tr+Lv9oAIUBdQK8ApwCKQJmAfgAoAC4ACoB7gHlAhMEMgUrBkMH3AeeCNgI7AiSCAYIcwfDBnYGBAYpBiYGiQbiBj0HmAeUB5oHQgfiBl0G6gV2BTcFJwUqBXMFpAXtBS0GZQaSBqoGrAaGBkIGxgU8Bb8EPAT3A9YDtAPDA7IDkwN4A0gDEwPkAqMCYAIuAtMBqAFlATgB+ADkAJUAeABlADEAWAAMAOH/Ef8G/m/8sPrs+Dz3H/Y/9TX1SfXn9W72xPb59rr2ava09R71M/SZ8/zyk/LM8vXy8vP/9L72Yfgk+pz7dPwx/Sj9U/37/Av9+fxB/d/9Vf5r/zQAPgFkAkkDTwSlBJ0EygOMAtwADf+l/Sr8vvuM+0b8X/0e//cA6ALdBAQG4wZsBmcFlAODAZb/df7f/Tj+Dv8hAG4BTAIVA/gCxwK5AX8Aw/7a/Nj6+/jf9zD3s/eN+AL6Sft3/Db9xv09/pb+3P4w/zL/F//s/rX+Ef/d/1cB6gKfBJsFJwY6BhYGsgUTBZ4DegHC/uj7IPou+Qz6Hvu6/B79q/xU+5n54fii+AP67/qi/Nf8V/36/fz+swHNA9YGvgd8CHwHBgaSBJ4CvAFYACkAH/8T/+D+DP8uAB8BuAKZA3wEdASBBM4D/wIQAvYAkQB6AGgBsQKKBD4GwQe4CDsJEglVCGAHHwb6BOEDCQM4AuYB1gFUAk4DagSXBWUGzAabBt4FkgT9AmsB6v/0/kv+S/7O/vL/fwFDA+YE9AWPBloG3wXrBN8DxQLmAWMBPgG9AXkCxQMGBUQGIgeBB1UHtwa7BWME1QLxACP/dP1g/J37ZPtN+1n7efuI+5j7afsq+4v6pPla+Kj2EPW384XzSfQu9sL4Hftk/dj+UwCwADABvADK/9/+W/11/GD7CvuF+jr74vs6/f3+XwAZAgkDsgNdA6sCLwHL/4/+Wf20/AX86Psb/Nb87/0y/zMA2QBXAXYBmQFiASEB1wBcAPf/mP8h/6D+bv5E/kf+T/46/h/+5v2l/Xj9Zf0e/fn85Pzq/N/8Df1I/cb9jv5g/1UA7gB8AcQBPgJqAqMCpwJNAtYBFgF7AMf/ff9T/4X/rP/X/xMATADXAE4B7AFQAksCCAKWAUYB3gCzAIkAdQBiAFUAqgAWAdQBhAJpA9cD6QO6AzQDdgIiAYP/dP1x+7D5yvjO+I35w/od/KT9C/+WAA4CawM5BGUE5QPFAkoBzP+3/vb9ov2J/c/9Kf7Y/rP/ugCQASMCbQI+AqoBswCi/2r+ev3I/J382/x1/Xj+k/+3AKQBfQIHA2IDgANfA/cCVQKSAdYAPQDR/7D/zP8SAHsA5wBGAYcBrgG8AakBXwH1AGIAzf8+/+T+vP7Y/i3/uP9dAPcAjQEIAnECqgLAArcCiwJVAgYCyAF0ATcB9wC6AIEAVQA5ABYA+v/G/4L/Mf/f/pz+Zv5G/i7+K/4s/jr+V/5//rT+BP9X/6X/6f8WAC0AOQA8AEQATQBHAD0ALwAhACIAJABKAHcAowDCAM8AygDDALsAnACLAHMAYgBMAEgAQAAuABUA5v+3/4L/Zf9O/1H/TP9H/zv/Nv9K/27/pf/M/+b/4f/H/53/ev9i/0j/NP8Z//r+3v7M/sL+yP7R/tf+1P7P/r7+p/6I/m/+W/5B/jf+TP5z/qj+6v42/3r/u//z/x4APgBKAE0ALwAIAMv/jv9R/xL/4/69/qT+mP6h/rv+8P4r/2r/pP/X/wQAIQBDAEwAVgBQAE8APgA1AEIAUABkAGYAYwBIAC0ACAD5/+X/zP+h/2//QP8U/wb//P4F/wP/F/8s/2f/qP/1/0IAdwCxANIACQEdATgBPwEoARsBBQEdATgBWgF6AYYBgwF3AWYBWwE+ASQB7gCvAHgASQBEADoARABQAFwAfwCtAOMAHQE5AUkBSQFBATUBIQEFAc0AkABHABUA7v/l/+j/0v/M/8T/1v/0/yUAQABJADwAGQD3/7z/kP9Z/yn/9v7H/q/+s/7S/gP/Nf9+/9H/GABUAHUAcQA+APP/l/9M/xD/4f63/oH+Wf4m/iL+OP59/sn+F/9U/3v/jv+j/7v/zP/d/+P/zv+1/4r/cP9d/2X/cf+c/9X/EwBfAJkAyADHALsAnQCGAGoAUQAnAPf/zv+s/5n/uP/i/y4AZgCnANQACwFFAVsBbQFCASkB1ACiAFIAHwDb/5L/cP9R/4T/rP8HADMAggCuAOIAEQE2AVMBOAEUAbsAegAjAOL/sP+S/4P/eP+P/7T/5/8PADIAQAA8ADAAFAD3/87/n/9q/0f/L/8k/yH/Gv8r/0v/ef+x/+v/HgA6ADAACADV/5j/XP8i/+v+tv6L/n/+o/7//nz/+f9kAKQAxADJAL0AkwBWAAYApf9Y/xn/AP/2/v/+Ff84/3D/vP8JADkASgAnAO3/qf+H/3n/e/9U/wz/qP5h/kD+Sv56/qL+wv69/sn+4f4k/4v/8/9CAGUAdgB1AHcAZABHABsA2P+e/2r/XP9T/0z/Nf8Z/xL/N/+U//n/WACYAMcAAwFaAdwBXQLDAuYCsgJVAukBmgFQAQYBngAtAL7/c/9d/2r/hf+Q/5P/lP+o/8//9P8HAPj/y/+h/4n/nP+8/9n/6v/z/xMAWADIAEgBugECAhwCCwLiAa8BYAH5AGoAxf8U/37+DP61/Xz9Wv1b/Xb9tv0B/lX+r/4O/3b/4/9hAMgAGAFDAVIBWgFcAVwBUgE/ARUB+ADeANgA5wDrAPIA3gDIAKgAlQBsAEEADADa/8X/yf/2/yYAYQCQAMgAAAE+AYUBxwEBAioCNwI/Aj8CPQI9Ai8CCgLVAZgBSwECAbUAhgBfAEoASgBRAG4AlwDYABsBUwFxAW4BXAE4AQgBxABxAAcAn/9E//v+5f7b/tH+w/6z/qr+rv65/r/+v/6h/mD+/f2Z/Tf99vy2/H/8Vfwx/CD8Ffwv/GX8v/w1/ab9Ev5f/pz+wv7s/hT/Nf9E/xj/yf5j/ir+B/4R/iP+LP5L/nH+q/7g/kb/of/n/wkA9P/d/8T/xf+y/6L/ff9t/3D/eP+o/9z/KQBkAIgAigCeAM4AAQEmASMBJgEiATcBSAF0AcABBgI5AikCGALyAegBuQF1AR8BtwBoAPr/pf9e/0f/Q/82/zH/Lv9h/63/DwBiAKkA8gAnAUgBWgFuAYIBhAFmATYBFgEjAVgBkAHTATEClALmAgUDCAMNAxYD8QKWAisCyQFnAe4AeQAyAD4AawChAOUAVwH5AZwCNQPIA1YEsQS5BH0E/QNxA7kCywGjAGv/S/5R/Yb86Pub+5H7xPvq+x78XvzM/EL9ef11/UH9FP3C/Fr81PuV+577vvvC++P7T/wb/eL9Wv6J/rP+A/8P/8H+7v0W/fz77/rn+bn5pvo//Nj97v5YAIkC2gWNCQINWw8vECcPkgySCf0GZgWzAw8BS/1q+ef2IPYY90b5N/wt/7gBogN+BZ0H+gm5CyUMLwtcCRIHTAQxAQn+ovsX+mT5Rvni+Tv7I/0p/0cBsgNkBvIIagp9ClYJjQd6BUMD+wDF/qX8k/qi+A33Uvar9uz3lPlS+/78nP4EACQB7wF4AtYC2QJcAlsBCwCk/lD9Ofx6+yz7L/tw+6r78vto/C/9KP4a/8n/DQDs/2X/qP7G/fv8O/x2+5v6vvkZ+cj44fhJ+fD5x/rN+/D8K/5o/5IAlwFsAgkDawOjA6YDagPhAhkCNQFnALv/G/99/tb9QP28/HH8Wvx7/MH8Bv1H/Xv9uP0J/mz+yv4Y/1j/iv/E//n/QACJANcADwEeAQkB2ACfAGYALQDu/6X/Zv8u/wz/Ev8//57/BQB0AMcAIQFkAZ0ByQHeAe0B0AGbATwB6gCaAHoAegCWAMQA6wAoAVgBrwEFAmACoQLIAtQCzgLHAq0CiAJCAuUBdwEPAcMAnQCxAPAAWAHXAWsCJAPbA4sECQVoBY4FhQVBBdQEQQR5A48CiwGqAOv/df8f/wD//f40/6D/UQA5ASIC/AKGA9kD2gPZA6gDXgPLAgsCJQFCAIz/6/6J/kT+Nf48/nr+8f6+/7cAugGEAgMDPQNEAxkDpgIiAmMBvADr/0n/oP5w/nf+wv4V/2//9f9fANoABwFTAXIBpwF9AR0BewC//+j+1v3A/JL7n/qp+d74Dvi597b3HfiO+CP55/nh+vb7vPxw/fX9hP7I/rb+Sv7b/VL9i/xz+z76X/nA+FT42/el98H3J/in+C352vm0+q77WvzR/Ez9F/5L/4YApgGoAooDYwQFBYEF6QU7Bj0GlwWABDgDTgJtAX0AK//E/ZT8vftZ+zb7kPs2/FT9ff7X/08B/AJ7BHYF6wUPBgQGvAXyBJMD4AETAEv+pPxj+6P6iPqi+gX7uPv//Lv+kABGAqADxgSLBfYFzAVJBX4EfAM+AswAXP8H/vT8D/x++0n7g/sH/MD8l/2K/pP/ngCLAVkC9AJBAzMDtgL1AfwA9P/a/r/9rfzC+wb7j/pp+p76P/sl/EP9Z/5//2UAHAGxASUCkQLLAtoCmAIvAp4BGgHGAKsA0QAXAXQB2QFjAhUD4wO6BIAFLQaxBhIHXQeRB8QHzwekB0QH3gaBBiMGtQUwBcoElwS+BCUF2QWbBmoHFQi+CF8J8glXCk4K1AkECQwI4QaPBeYDEwIjAGf++vwR/LP7vPsZ/NX8G/7p/zYCjQSxBi8IDQkwCdIIGQgJB7MFxAOVAS7/NP1k+/X5Yvji9lP16PPZ8iTy6fG68dHx9PHQ8ubzSfVC9jH3MPjR+fH7L/5CAJkBugKyA50FNQgLC4sMyAvxCDEFMQIoAKn+VPyX+JHzme536zbrqu0n8evzNvUD9rD3Jvvw/5cEkwczCNgGvATJAqUBrgBW/yL9WPrP9zT27PWa9ur3afkU++X83/7MAGcCegPvA+gDkwP7AgQCkQCk/nr8i/pD+bz44PhS+fL51/oq/BH+bQDvAjIF6AbeB0gIPQjWBxAH3QUkBPABdf/i/Gv6TPi09sf1kvUO9jj38/hT+yz+aQG1BOEHqgrwDJ0Opg8WEAIQlg/QDtgNpAxaCwAK1Aj/B5wHrAcJCI8IHAm4CVkKBQuaC/4LHgzZC1QLhgq2CdII7gf9BgUGEAUwBHkD9wKoApwCwgLoAusCzwKeAocCZAIPAlcBTQAO/8n9mfyE+5T6w/lA+Rj5S/nA+TP6mfoJ+9D73/wI/u7+If+5/tP9/fxQ/P77dPth+kj4jPXV8s7w/O/c71TwjfC68OXwvvGE82L2t/kJ/QgAqwIoBVoHAQnlCdoJ+QgcB0MEVwB4+x32z/CM7Lnp/eiF6cHq6+tr7R/wWvQd+t//0QSMB4IIGQhtBycH4gYwBocDZf9K+jj23/Ni8+fzYvT89Ib1EvdY+af8FQALA/wE4AVGBlcGRAZ4Bc8DcwEQ/wv9o/ui+u/5Zfk2+Yn5k/pa/KT++wDGAvMDuAS1Bf4GUAgCCaAILgcOBZ8CVABf/pL8vvqx+K32DPUs9CX00fT59Xb3QPlE+0T9F/+nAAgCTANVBBEFdgVwBSQFkQTwA3wDdQPyA+UEKQaYBxMJmwpLDC4ONBBDEvQTFBWIFVUVvhT7ExkT7xFdEGMOUAxfCusIAwjAB/AHbAjdCFwJBAoKCz8MTg3nDfsNnw0LDTIMKwvvCWoIngaCBG4ChQDv/p79VvxK+4f6Uvp6+gX7x/v2/IX+TgAwAskDOgUhBpAGSAa0BbcEQAMEAQX+gfqq9vDySu8W7EDp4uYI5QXkbuRI5pTpze2V8pj39/xoApoHDAwDD9gPYQ47CzwHLwMD/1T60/TZ7ibp4uS94tfiv+Sh58vqJu4z8jT3+/ygAhwH2gnhCnYK6wjrBosE2gGs/hP7g/eR9KPyp/F48f3xU/NP9dP3f/ow/a7/4AGPA6oEIAXcBN4D+gGQ/xj9Bft3+VT4d/fy9tD2U/fB+BT7D/47AS4EoAapCFkKzwvVDBANKwwXCh4HpwMcALP8jvm59jf0OfIA8cLwoPF189z1mPhx+0j+EAHOA2sGrghmClwLfQv9CkAKlwlACUQJcwmiCdYJLgoPC5kMyw5UEckTxxUjF9EX8heXF/UWIRb5FGMTdBFRD1INpwt1CscJiwmSCaQJxAkGCp0KdQtgDB8NkA1/DckMYAt2CWYHVwVfA2gBbf97/Zf76vm5+Fn40Pj3+WT75PyO/nEAiQKGBDUGNwdXB3gGvwRqArv/yPx++db16vH47UrqI+fh5Mzj7eM75XPnu+oL74H0vfoiAdIG/ApCDaAN0AwnC/sIxAU0ART7LfSa7Tfo1OT74orimeKN44zlPul07oz0fPqZ/6IDagZlCG4Jywn6CA4HFASnAFf9aPrT92/1ZPPx8Wbx3PE18wH14PZu+LT51PoA/Br96v0y/t79DP0Q/Dv7uvqE+nP6g/rd+sn7P/3+/tAAmgI2BJIFpwZ1B/MH+wc2B6UFigNkAWH/af1q+4H5AfgB94f2o/Zg96L4JPqY++38Tv7p/6UBXAPqBEgGTwf5B0oIfQjdCIAJRAr1Co8LKAwJDVUOARD0EeoTqBUDF98XNxghGLwXCBcHFrEUHxNiEZQPwg0bDNsKJwr7CRYKSAqNCvgKnQtyDFcNGw56DjAOHg13C5MJsAfdBfcD4wGT/0f9N/uy+eb42/h4+Yj65vuG/VL/JAHJAkMEbwUbBhMGKgVdA9sA7/3a+qX3J/Q08ObrrOc95AviW+Ec4hLkGucV6xnwV/Z+/ZcEPAprDSIOTQ3BC8UJ/AbdAi79Kva47izozOMD4vzhc+Lb4vvjyebC6wryhfhg/jQD3AYRCQ0KHwqfCVcIBAavAhL/wvvG+N71NfMl8TnwYPBL8XfysPP99Dv2ePe6+Bz6ePth/GH8sPvY+n/6uvpM+/P7svyg/cb+JQC0AXkDPwXCBrIHKAhQCEEI3gfuBmUFgwOQAbn/BP59/B/7Bvos+cD47/jQ+U77/vyS/uj/IAGFAk0EYgZyCBsK9AoeC/kK6QoeC4EL0gvtC98LzAsODNkMQw4sEC4SERSuFfwW5BdXGGMYLxjDF/wWmBWEE/IQPQ7QC/oJzgg0COsHrgd/B5UHNwhjCdMK9AtaDMwLdwrGCCUHqQUrBFkCEQBm/cT6j/gU93X2jPYQ96/3VvhE+ab6hPyI/nMA9QHCAs8C7wFgAFz+Kvyp+Wz2GfLJ7F7nquJv39zd89113xfixOWo6jvxT/m5Aa0ICQ3ODtQO4g0eDHIJfQUNAPT4+PB46RHkP+Es4PHfWuA34rzljOoJ8Pr1WvyiAuMHVQv+DCkNLQwTCi4HJgRRAWf+5/rh9hXzdvBr77Hvw/BK8svz6/TA9bD2IPjx+Yj7avyY/GP8IfwX/Gb8Hf04/pz/KAHVAosELgaUB6EIYQkBCnUKlAoOCrsIsQZhBC0CSwDH/oP9aPx5+836ofoe+1L8B/7l/58BFgM1BBkF5wXeBhEIXAlUCrkKmgpTCkkKqgphC0QM+AxIDVYNeA09DrMPlxGaE2MV2BbXF10YdRg4GM4XNxdLFu8UEhO/EDUOxQvPCY4I9we4B4oHUAccBycHjQdOCCYJsQmhCdMIVgd1BZsD3AE8AKH+1/zc+un4QPcq9tL1G/aw9mr3J/gM+T/6xPtt/ej+AACAAFgARP9C/Vj6ofZa8rDtMulO5Rnied+G3bXcEN7s4TPo2+/r9yj/KwXCCVMNYxBkEq0Syw8xCoQCafrj8jHszuYv4i7f/9zC3FDeHeLs51buq/Ve/AADBwiRCzwNjw06Da4LZQmHBSMBZvwD+Hn0HfIO8ZTwcvBO8ObwbvLR9C330fii+cP5o/lr+U/5QvkI+Y74Cfgn+Hb5sPuU/mgBJwSpBh0JNAvkDOwNJw6gDVoMdQrwB+oEkwFo/uv7cPoW+of6ZvtB/Ef9r/6rABUDcQUyBykIcQhGCBUI/QcfCHUI3whGCeAJygr3CwwNqg2+DYcNPA0dDVAN4w3vDlgQDRLoE9QVoxcJGeAZMxpGGkYaGRpxGfYXqhWtEmoPSwyTCWUHhwXZA1QCMgHXAIABEgM8BYwHlQkhCw4MMQyKCxsKBAhgBWMCJf/O+1j45fTq8RjwAfCB8bzz4vWU9xz5FfvI/dUAEgMrA3kAhvv39THxuO2u6vzmI+IR3YDZL9mZ3Mfi9unI8Of2vPwIA50Jhw9wE1IUMRKxDfkHtAEj+yL0+Oxz5oDhtd4R3kXfAeIl5pnrQfKg+akAMgaKCd8K9wpKCvkI2wbKAxkAO/zQ+FX2+vS+9En1Vfah9xj5afoG+7L6efnt9zT2q/Qz89TxqPDG78nvGPEb9OT3PvyKANYE4wgWDEoOxQ/KEJcQ/w7xC1YIiQSDAJD8XvlI+LH48Pk0+9/8d//IAlIGcglNDB4OcA76DHkK7AfEBe4DwwHS/5T+n/7a/1UCxQXfCQYODBGoEpgSlxG4D60N7As0C8gLDQ12DqgPMBFmE9gW6BoYH34ieSSyJO4i2h/XG6AXAhMDDj0IRALJ/ID48vWN9Vr32vpx/1IEMAnBDeERARWxFo0WuRRUEZwM8QaoAJv6OPUm8VTu/ezO7NTt7O/38tT2+Pqu/hUBkgEWACP9bPlx9R/xHuyV5gvhrdxg2qTaSd3+4ffnkO4y9dz7awJ/CGMNQxDhEEYPywusBp0APfpV9CXvwupx50/lu+Sa5QDol+sw8FH1gvoJ/2ECOgTDBIME8QMaA6wBg/+z/Lj5L/eN9RL1z/VJ98D4p/nM+ZL5Hvl4+Dv3hvVw803xMe9c7VDskexu7nbxbfXb+WT+qwJQBjoJnwuTDbcOgQ5pDKUIwAMS/x37Wvhq9of1v/Ue95T58/w6AUgGgwvgD/YSjhTsFP0TMhHjDDMIjATaAa3/Vv1P+536S/tP/REBdwZqDKwQNxGpDm4LLwkdCM8H1AfuCMAKOQ37D9ITgxkuIOIm9iv8LwUyrzGeLaYmRx71FUgOXgYK/xr4rvJk7j3sMu3S8TT5ZAFFCeIPqRXcGV4cwRxAGw4YFRPaDM4F9v6y+Jfz7+8r7kDume+p8bTz0vXL99b5m/uw/Ib8s/qN92zz8u5L6g7mpuKo4EjgjOEd5JPnqOsW8On07vnq/gIDfgXrBZgEAgLI/nP7Z/j79Qn0k/Ji8c/w0fCa8RLzOvUL+OL6Mv1T/mL+uP0L/bH8sfz7/Ej9Sv2j/Kr7zvp7+oL6lfpi+vP5PvkN+GX2cfSn8nDxvPBY8ALwwe+d76bv+e858ZvzCPdz+iL9BP9uALwB8wLjA44EIQUcBTAEdQKkADz/J/7A/Er7UPpE+gH7DPyM/c3/xwKqBSEIegp6DRcQEBG7D2oNNgwvDBIM+wnPBsMCn/9P/UP9AwCPBL8ITwr1CXEIwQc0Bn4EkwKrAvQEyghnDRASHRgrHq8kpSrWMCU2BjlWNy8xTiirHrIVAg0rBef9t/fb8rXv7O6Z8H702vmnACgIhg+cFX0Z7RrWGQ4X/BLTDpYKHQZlAQH9J/q5+N74TvmG+rb7jvxI/Jr6gPga9vrzC/H/7eHqoOgl58nlHOXs5Fjmg+hQ6z/ukfHt9JD3TPkW+iP7SPwa/QT9RfyU+z77Rvsn+x/7/vrY+hf6p/hE9zX20fVt9RX15PRB9R72Pven+Dn6TfyF/lsAaQGBAc0AQ/9Q/Vz7yPn895b1sfIR8N7uKu+m8D3ylPMA9MLz6PL58TDxl/Bv8HnwjfE48031Afdo+Oj52Psd/gkAcwEAAvkBSQG4/9j9Vfyp+zf7tvrW+VL5YPmF+qv8AwAGBKwHFQpVC5AMlQ1hD+4POA9HDYAK4wZAAw0ABP2r/N38sP/HAioHegovDMgLpAn9B/wFpAVjBMoEFgZ3CAMNFBP/G/skgy7lNAU5pDkfN0EyqipIIgYZZBC+B30AFvoR9kP0u/Rt96X79gCBBjULPw7ZD8cPxw4EDa0KigjYBssFFAUwBdAFRwdtCBoJwggSBysEz//F+nD1mfBO7CHpG+dt5vDmBOia6U7rae1a7x7xKPJO8rbx4/Ah8CPwCfHQ8j711feF+hn9hv9mAZ8C7gKHAncBq/8e/cH5Fvbo8s7wBfCk8BnyK/So9mn5N/yG/sr/1P/u/lD95/uc+kf5nfc19f/yhPFC8Rny3vNJ9XL26vaD9pT15vOC8QHvmezs6lXqkOoM7BbuOfF49Dn4pvob/Yf+Pv+B/4f9Avs191z1gfTk9VT3iPgF+o/6NP37/ff/LgCXAJ4BKQOHBS8GSwikBlYHywYcCWYMkA1EDX8IZgRP/uX8H/wK/xUDvgU3CV4JSAqgCOoHuAX+Ay0DmQJeBSIIRA2vEhEZoyAuKP8vXDXpOAs4MTQVLmUmMR8fGH8Sag2yCawGeAQKAy4CqAJjA/cEZQZaB3AHuAZOBfYD0QN/BN0GiwkuDPwNvg6vDhwO/AwPC9wIagWcAYz9qfnO9mf0/vJo8tTyVvPy8+zzxvJR8fPu/OxF6zPqz+k36jjrwewH70XxXvR19wT7h/4kAZ4CswLgASYA+/4i/uT9av7X/of/8//i/y3/8P1v/M/6r/nH+FT4K/h+95H2z/QS85zx+vAt8RvyavPw8x70WvOM8srxfPEa8fHwVvAm7zjusO387R7v9vAH8vXy4fKK8hnzafNZ9Jb1LPaF9qL3TfeR92n32PUZ9XP0pvNF9ED2Jvcq+kj7APsm++z5bfpO/YoAZQLTBeYDagNpA5YCzQP9BIAEHAPSAin/lP8R/0kAVAR1B7EKIAxrC2gGKgPF/PD5lfpM/V4Ebg0XFogdOyStJyEriS3ILjwvVS4iK3on0SJLHrcaDhgFFyAX0Be0F2cWVBPCDhYKnwXXAiYBNgHyAe4CJgT9BIcGHAhbChkMKw2hDH4KmQcXBK8BGQAdAC4BDgMyBcwGhwd3BikEkwCr/N/4hPX48tXwS+8d7kDtzuzr7JHtfe7C76HwZ/Gw8ffxePKZ8071ufef+nr9gAC8An4EOQUiBQMEkwL6AK//b/96/28A2AC+AIT/Zf2U+qb3iPWS88LyevFi8DfvS+4e7k/u1u5m7rztmesu6onpL+pD7Jbtze527b3sEOt769Hsgu8o8iH0VvYP9l334PYe93P3PPdW93z3s/ez99r4L/m5+Sr6Bfmi+GP4xvcr+Zf6cfyO/jAA3gD5ADcAZf4Q/nr9Zf4j/+f+9f3p+xf7zfsBANgECwuHDgoOTgtwBDD/JvuH+6P+BAXkC5UR/hYwGosdNSCKI6AllycVKP4mUCUaI1YhriC/IWEjhiV2JoklfiJMHVgXSxGxDEEJ+wddB3wHyQfxBoEGgQXPBOoD9AJEAQT/5fyb+tf5FPrH+4z+mgFrBDIG0QYLBpIEoALSAKX/NP96/wIAgwB8AMX/if4z/QH8/fo8+kb5WPhk97j2avbA9nf3Z/ic+Zv6Ufuu+6X7H/un+rT5XvlW+Uz6GvxE/qoAugFzAoUB2ADF/yT/m/6s/dX8Hvs/+uX4Tfly+XD64fqS+oj5D/cE9eLxkvD77uru5u4M74TvSe/Z743vNvBQ8JjwifDI7+Lun+0S7TPtie7l8HrzDvbB90f4Dvjz9g72XvV69fr1EPf099b4rvk1+k77Rvyh/YH+NP8t/53+JP50/Z/92P2d/lH/6P92AOEAWAGjAf4B3wGBAeQAIQDF/63/XgAyAX4CfQNxBBwFngVNBtcGuwcuCNgIGwmSCe4JowqVC50Myg18DhQPCQ/8DsIOqg7VDgYPdg+hD/UP4Q/PD30PIg/TDnUORQ76Da8NFA1hDIMLqAr6CWUJKAncCJoIFwh1B7IGAAZ/BQ8FzwRjBOQDOAOEAuQBWgEFAbYAewApANP/jP9C/yL/9P7U/qP+d/5F/h/+Df4J/hf+Af7Y/YH9Ev2U/CX85PvS+/L7JvxJ/FT8OvwX/PP7+/sd/Ev8dPxY/Ar8j/sP+7f6t/r6+nX7+vtZ/Jv8lvxT/O/7e/sd++r6y/rN+rH6mvpk+j76I/od+iP6FPr/+br5cvkC+cz4mPil+Kr4xPjZ+Mf4uvh6+Ef45/eU9y/3DPf39hf3Rfd599P3Dvhk+KD40fjf+Nb4wPid+Jz4t/j++HD52fk5+nr6kfqS+of6cvpW+kb6Lfo6+mj6w/pR++z7kPwD/WD9jf21/eb9Of6m/hb/iP/o/2MA7QCnAWwCJAPAAzEEhQTBBAoFWgXBBS8GkgbjBgwHJgc3B1UHewe6BwAIMQhVCFcIRwhLCGQIlwjrCE0JoAnUCeQJygm/Cb0J7gk+CpIKxwq8CnkKAwqrCV4JZAmACbQJ2AnTCcMJbAkNCXEI3wdMB9sGrgalBs8GxgaeBhkGhQX5BKQEqwSnBLYEdgQKBHUD7QKZAnYClwK/AvEC4gKXAh0CbwHOAEwACQDd/9P/tf+A/zj/5P6i/mr+Sv4U/ub9mf0+/dj8Z/wB/KL7XPsc++n6w/qq+pz6pvq8+sT6wPqG+i360Pl9+Vn5XPmF+af5zfnH+an5avkP+eT4zvj5+CD5Vvlp+Yj5rvnI+e359fkM+gP6G/or+kf6R/pH+ln6jPq5+sb6qPpW+vf5j/k9+eD4q/h3+HH4dPiH+Hr4RPgA+Mr3z/fq9zT4YviP+LL45fgY+Vf5ofn6+X/6H/vR+2r83vwh/YT9GP4G/zIAQgEqAp4CAANZAxEE/wT+BewGaQfzB0wI3QhoCeUJSQpXCosKhQr7CoULHgzoDBUNUw0MDeYMxAz6DEkNYA2TDfIM/gy8DAcNYQ1ADWoNlgwcDOgKEwqWCWoJ9QnlCTYKrQlxCbsIGwhHB3YGEwbNBSAGHQY9BnAF2wQYBNkDOQScBBcFzAQvBPwCJQKeAcUBewLxAkcDzwLvAeEAQQApAKEARwFoAR8BFADf/tr9S/1D/YL9yf3j/cz9V/3U/Eb8zfuO+4H7dPtJ+9r6C/pe+ef48Phd+Xn5f/n0+Jj40/cu92j2q/Xl9Qj23/ZR9tv1e/ST9G/1TvY89pb01vJ/8EPyzfIU9jj3nfV49YryvPEt8JDup+3V7NTtk+7X77fvee4i7v3sVe317JTsTOy86+nsC+0I7xLw0PEi9P70r/ZJ9ZH0zfMg9FP3QvpT/r8AMwKAAzUEVgUYBoAGFAfUB1QJWwtRDT0PbBAOEbIRlBGOEQYR+g99D8gOFg/7D6wQhxFsEeIQqg8LDi8MVgphCagI7ghyCVgJgwnPCOcHOAfIBa0EuwM2A3cDLAT3BDwFkAVMBfoE5AT8A5QDMgM7A5UE2AXHBwgJbQnkCR4JeAn/CIEJHApzCgcMOgzlDUcORQ5zDv4M8QthC8kJlQoGC4MLBA3xC2cLvAjQBsMEcwOpA+QCAwSoA4oD5gJJATD/kf0D/NH7zPwr/cH+S/49/ir9h/t5+k75YfjD+Pr4HPma+mz5ZPqc+fb4lvg493z2cvWe9Wv1IfY09uj12vML9ELwGvC+7wDtCfE87n/v4O7E6V/o0OMQ4rHiA+Mh5JXkuONg4l3hqOD13trggODD4kjmfebe6WLqrOqJ7ZLupPCf8//zkfb8+Hj7Fv9PAm4EkwchCdwK2AuHDO0NVA8gE6EUrBe+F5AXwhYkFr0VGhXUFX4UvRWqFCcUsRK1EEwPTQ41DjQNQQysCaUHUAUSBTkEGAUjBV4ExgMkAeT/Zf0B/gH+6v8iAhQCNQPpAXQB/gCoAfkB+QNcBT8GQwgBCBkJ8QkACxIMYw1sDewNhg5MD5cQMRK9EvUSjRPeEUcSNxENEawRrBITE4UT6xJAEKUPIA2wDLwMgAyCDOsLTAozCMUG4ARzBLwEbwSLBPIDNQIkAcP/f/7s/qH+Gv/g/+j+Bf9w/Xv8EvwO+9D7rvtz/Oz8B/3V/I37Uvor+QH4IfmD9xP51/eE9lX3BvPB9K7wP/GB8CDu1e8X6zvrpunD5r3oP+XP44Diu9713sLd0Nxl3QfdN9+r4LPig+Jl3wXgMtze4UPk/+fL7ensFvDx8HzwL/Kq8rvzePnC/HkC7gS/BV4GHwaiCHwJ6QtMDc0OAxETE8wTIxQ7ExcScxKAETQS2hD9ELcQ1hCeEdcPoQ5aCzoJSAgEB8kHEgftBpQGJgX1A6gBuv/z/dz9Z/6i/1sALwB9/4j+B/63/dT9Df7h/tL/ewGBAkoDIwMBA/0C4QMYBWAG8ge+CFgKMgtXDMkMtwzpDPMMlg2kDnoPyBDWEYISFhOeEpoRkxBSD0IPtA9tEGERKhGjEPgORw0tCx4KXQmDCUMK+AlPCkEIEAe3BE8DsQKNAjgDQgNOA/sBGAE4/wP/uf0p/k7+kf3Y/mL98P3w/AD8hvtW+oX69vkW+tf5evmi+GX4hvZw9Tj0UvIc86nxWvLQ8PDu4+3U6rrq5+jy50znO+V+5Fzi3eCa313fteAp4yHk/OQR4tTfj97f3TXjm+QZ6pPrJ+y07Xbs1+z/7P/uWfK993H77P4p/3//0f6rAPkC+ASiCBoJSgxhDbUOWQ+IDmkOmw77DkUQtxDBEDsRxhCVEVYQZw8KDRQLsgokCjcLOgvyChAKjgi/BosEUQLMAG0AVAGQAhIDmgK/ANL+Rv2s/Pz85P1B/x0AxgDLANH/sP/X/l7/igDQARsEIwV3BmIGeQZ1BuwGFghJCQMLawx5DVUOrQ57DusOoQ4OELsQ/xGoEkYSehJ8EcYRmBGMEYsRohBcELMPQw8PD3wOmg0XDcwL/wq0CjcJLAn/B2kHNAeABucFHQUeBCcDnwKJAWABhADZABIADAB5/8v9Rv6l/CD9m/3f+5n8kPrx+eL5ifj2+On39vaa9tn0fPQp8/TxlfFN71zwB+417Qnt+ugE6svnyeVq5rjiY+Mn4xvkBua85S/lvOLg4cHgSuML5CHnhOhT6i7rHOwm7Ibr2u2n7dDy7PRO+Pj5uvqN+7n8wP4DAKwCwQOVBoIIkgqGC70LOwu2CzMMww0fD38PgBABENkQ8A+YD/wN+gwYDQgNFA7BDTINywuFCvEILQj1BkQG1wUgBXsFMgQXBJMCmgEZASwA7v/h/8T/FwDCAFsA0gDH/7X/Df9o/04A4QADA1oDtgSYBNsDDwSgA28FFQfOCHoKswrvCs0KAAuDC14Meg2/DnoPnhDQD+8P4g9iDykRlBCUEe0Q/w8YEAAPwQ9UDwcPgQ46DWAMXAv4CucKrAq7Cp4JiAiCB9UFfQXTBNEEEwW6BIkE6gLYASAAIv/g/5P/1gAkAEX/WP7F/Ib8vfss+x/7Yvo/+l76YvgV+Nj1RvUC9fnzBfSj8bzw1u5e7qHtK+077IvpHuki5qDk6ORL4zHlu+Z45nHn+OQs4ojhb+Aq5FjmiOl765bqjOv96VTrs+sF7onwcfNi96z4Z/ps+pn6cfxB/gsB5QMsBXUHPQiWCdIK6ArXC8kLvAy7DcAOHRCVELsQchCuD9oOQw5eDSYNUw1zDfQNSw1+DEQKRwgPB6YFQgaoBXcFQgXjA1IDEwKvAAUAq/6r/gP//P4BAFT/fP/8/kP+a/6Y/Vb+KP8EAC0ClQInA/sC+wEBA2IDTgUdBywIygnqCW0K2AqTCngLAAx4DWsP+w/JEBQQyg8nEPMPEBE1ETERuREBEToRwhCtD0APSw4iDuINVA0LDSEMfgvJCvIJrQkvCIYHLQagBcwFPAVqBSsETQMWAkMBGgG0AJMAwv9M/8f+J/5A/kL9V/3E/Mj77ftw+lP6xPg6+Lr3QvdH92/2C/X98wbyMfGu8APv9u9L7Yfug+xL6sTosuTU5PrkWucc6MbobeYX5ObjJ+Jc5LvkVuV0597oaerN68nqZerA6kjrje9T8en0nPWV9s73wfg/+2r7M/6D/lYBBwTCBecHvgfaB78H8Ai9CW0LPwz2DDcOXQ4xDroNGAyPC+gL2wugDQANmQx4C+wJDAkACAoHRwb7BfMEZQVKBL8DdQIoAS0AFf8J/x/+aP4//nD+FP5D/kL9yPxu/Jz7P/0+/VX/1//+/24Akv8/AFAAJAITA0sFkQYmBw0IWgcnCG8I+wmmCxENOw7GDmoOlA7rDjcPmRDfEHoRsRFuEbQRSRFEEZQQZhAiEHIPgg8EDvcNVA0DDUUNBwxFC60JOAjpB4YHcAd6B4kGCAazBP8DugJYAtIBIAGPAZcAqgDN/9b+Vv63/Wz9dP31/I78z/u4+qX6HvmK+fT3DPiv92z2OPbt8v/y9vBD8XzyVPFZ8G/uNuri6NDnw+WQ6Anmhehh54XmZeZ441/jJuJc40Hk5OZR54voaujF6D/p7ukC7BPs++6V7zTysvT79Rr4rvgG+r/7Wf1Q/7AByQJ3BWoGCAj8CKsIhQkbCfIKyAs3DR4O0A0pDuoMbwzUCw8LSgs/C2ULrgvUCp4J7AdTBlYFfQSLBA4ErgMuA+cBQgHM/9T+4/1e/a/9pf0m/rb9nP0l/ab8rPwv/Hb8M/0m/oP/jwDFANUAvgDSAN8BTQO/BKEGTQdOCN0IBAkqCncKxwuyDJcNwQ5XD+0PKhCsEAIRexHmEVERshE8EYcRjRIEEl8S+RD+DykPxw6DDnsOwg2GDaoM/At7C2kKKwq5CL8IigepB2YHrQblBWUFFwTFAy8EowLUAwwCmgFyASIApgDs/uT/Hf+XAGX/mv5E/Xn6gfvv+Vj79vqp+qr59PiD9iP1AvLx8MvxzvFA9cbx6PBW6wPnw+Vb4zvmO+Yp6HPoDufN5Uri5t/B3iTf/OF+5fbn2On96H/nwuYp5pvojeqz7QvxmvPt9Zf3tfeH+Fv5qPqA/rYAXQTcBSIHbQgcCbwJPAp+CuoKnAwYDewOMg8BD3sOPA1nDIALkwodCusJKApUCkkJMgj7BbEDcALjAEEBRgH5AD4Bjv/a/gP9PvsA+z36Cfvk+zP8GP3B/Gf8/ft6+8f7L/wt/Xn+SQBcAbQC/AJQA1sDrQOCBH8GagiGCiMMeAwpDZgM4QxgDRAOSw/IEJ4ROxM+E+MSYhJjEX0RuRFUEpMSHRM7EiYS4BAyEKoPhw7xDo8OeQ4VDsoMsgsICz0KZQpeChwKCwqaCFkIXweuBsoGYwVOBm4FGwajBWMFtQQABOoCbAJkAogBxwLuADcDfwBvASgAA/6r/ln7NPz3+lr8m/vi+jz5Z/YR9ubzZfMW8r7wS/A48NHvZe4F6iTl1+F736Lib+QA5x7oKeV347Tf1d1J3WnegOGN5UDpmusv67PppOdT55rplu3l8vn2Jfr5+jb8W/xu/fD+1wB6BG0H0grADDcNAA1LDH0MRw1rDkwPdA9qDwwPsQ60DaEM8gpeCRII5QYEBsUEewNpAgkBjADJ/k/9Svsa+Z34Wvj0+IL5Ifkz+G33C/b+9Z/1WfbK9yH5uftU/FT90Pws/Nr8x/3y/5oCkwRXBowH9AdOCWMJuQoECyMMvw01DwwRyhH5EYgRhBEXETMSphFiEtYR4RGbEnASHxP+EScRKg9aDhANTQ2vDRsN4A0NDUgNhQxQC8sJSwikBxwIOQl6CoYLxAqECjgJSwgLCH4HnAc3COkIZgkGC+gJWQpUCGcHBgeMBhUHigZkB4cGsgeiBagF6gI3Ah8AQv+J/6b9jv87/OP8+/l0+OL3AfX29J7x5O/07m/tAe9i7Sbr0Oje4mzgm9193D3e3t9o4gXkaOSG4q3fKNwF29Lb0t9O5Wnq3e397urt/OzF7JPt+fBi9AD6SP7EAQUEFgTwAxMECQUvB0QKxAw6DgYPzQ5YDsENLw24DOcLhAuRCngJzgjWBoAFCASjAlABRv8f/YD6lfjK9g72uPUH9g32kPWv9FvzFvI88T7x2fEw88n0GvYC+J34aPn4+UX6LvyU/QsAdQJsBD0GIQfyBy0JQApMDCYNcw5dD74PIxF7EcUR7RFYEasRVxL4EfkRMRDnDhYOgg3eDeQNsg0CDc8LzwrECZkIvAcQB88GegcvCAwItQjSB0UH0QdZB7EImAmSCfcK/wpBDJ4NxA15D8sOSA9UDyoPaRDAEBoRvhE2EQ8RZxAPD0YOWw22DHYMEgwZC7cKBAjCBiUEJwHXACz+Qf8R/rr8wfvp9+H3T/Tl85Dx++9S8FLu+u6L7BHrbOkK5obmyeMq437hat2v3cDajN013/rjN+Y759zmz+JO43Lgt+I/5Rbpz+7288z39vno+fX2/vZl9ij6Nf+sAtIHuQiNCoMKIQpSCswJaAlRCloKeQwzDHgLZApABzsHEQV2BeEDDAJM/yj8Kvto+Xv5Xfip9rD1wvNJ8hXxLe+V7jPuU+898SPzEPTF80fz8fI887L0Rfa4+Hr7Vf01AL0BcgOVBHEFFQdmCIkKeQvMDFANDw4tDz8QvBG4EtAS2BEZEfwOeg6LDXYNSw5ODmcOYA2LC0YJYAerBWsF2gUVBuQGYwY8BoEFrASsBGcEWgVJBj4HEQnGCb8KyQvqC7ANzA63EFESfRMLFHUU8hSpFcQWORe4F9sX+Be+F+wXnRYlFroUGRO2EhcQ/Q96DYIMLwuqCWkIVAYWBHMB6f7e/KP76/kB+gL42vdL9iD1V/QB8iPyEfB78ILvy+7T7nnsru0E6/rqEOpc5//mDOR94zXi8eCA49ziGegh6+jtDfAX7cPrtebh5v/n8+nn8Fz0ZvnY/KL+Zf3d/Kb6DPrQ+7n+/AKqBVUJmgjjCSkJ7Qg4CYEIdAfUBg4FEwUHBPMCxgIHAekBDAG9AJz+Lvtq96TzqPGl8PvwnfEo8q7xSvFU8Ofure4q7VztMu5h79rxi/Oi9Pf11vbT+OP6I/1E/5AASwI2A9cEPQbsBwQKwwvqDV4POhBUEGMPHQ7bDMoMAg3QDVUOvw3gDFgLfQk2CIEGxgURBVcETQTuAnoCFQFLAV4BpwJoAz0EmwQkBJkERAQTBn0HrQlUDB4O6hBGEusTxBR2FV4W3BaeGGUZPBs5G98b8BvVG1kcPhtZG+gZMxnXF28WOBXxEvoQxA4bDawLagq2CBAHGQXAAs8Ab/4M/XL71Pk3+f33pvfj9nj2//Vw9jH1ivXY9Ij07/Rr8xfz8fEf8bPwMvDA7kbuW+ul6b7nZuWt5B3kOOUQ6MHq/u3i7onvIu5J6k7qfeeG6vDsP++u8xj1yPin+o38S/25/dT8bv8Z/yQDkAKRA/MEYwS7COoHCwt/CpIJdQhiBZMDEQKv/9//Bf6f/uP9Vf0g/bz6GPm99eLzPPLo8Envxe0m7OnrP+wc7afu9++a8DPyBvJ78zjz3/Ot9Aj23vgO+3X+DQHaA8IFkAejCDAK8ArgCxwMGgxvDCAMFA0fDX4Nlg3gDEYNCwxTC/QIRAbQA2wBfAB3/3P/6P5//i7+xf0C/vr9Uf5M/r7+O/8pAJMBiALrBEwGeQk4DB0PmhLvE2AWohbBF1gYFxlVGvYalxxxHeQe5R8bINgfqR5pHeEbqBp+GJ4WpxS/EnMRuA8XDmQM2gpsCTQIywYpBfoC1gBp/q/8P/vC+qH6A/sy+y/7TPsQ+3v7D/t0+7H6HfvC+nj6ZfoL+RD4kfYl9VD08/L08KXu7+uf6TXo8eZ85vzm8+cB6qrs4+0s74jtTOum6DjnjOdW6Wfsie6t8bbytPVZ9wT6jPsu+0D+Yf1MAsoBoQLhARUACwI9ApkG5ga4CAwIqQY4Bn8EIwMaAUr/mf1B/OP7e/oX+gv4Cvbf9EzzsvPo8e/wA+7f6w3r+Ol1623rXuyz7bLu1PFy86/19vbs9xT6s/sc/ov/cQCjAbsCaAVWCHUL7w0BD9oPRQ9LDxgOPA0FDL0KQApmCdkJ2whdCDQGHASPAs4AcQCK/nf9vfqK+en3gff19x74//nV+kD9n/5gAAICCwM4Be8GpAmWDGkPIxK9E6sVEhf+GGEbbxzeHggfViAUILwf0R5ZHYgcNhvmGjUacxmuGEYXqhX2E50Rhw+zDYQL9wkTCGEGGQW9A9ACwQFYAfkAYwElAegB+AARATcAdP/W/1X/AwAOADQAWQBPABwAP//H/rj8BPwk+b33PPQd8fvt2end6P/liOY25inoR+l667jsPewR7EDoi+au4gnjQOKR5EPm7efO6vbsbfBG8432GPi4+j/8yv3e/oP+Ef5K/YT+gv++AssE3wZUCD4IeQiTB5gHEwZ4BX8D5QE+AKv9EPxP+eD3Lvav9QT1s/Rb857xyO+s7c3s/eqC63Hqluuz68jsO+5d76LxPPPa9Sb4pfq0/EH+df+GAK8BLwMBBfQG/whkCtwLvwx/DRQOEA4yDq4NVQ1VDPwKRwnzBrcE0QI3AXoA2P8M/7P+Y/24/JX74/qn+m765Pra+kj7Wfvx+4v8/v2e/zIC+QQICCMLrA0wEBQSIBTFFaEXEBl1GmIbJRxZHIkcQxxgHDUcdhx8HDMcARy3GqgZgheAFR4TDBE9D4cNXAz5CvcJpAjjB/UGpwZmBs4FyAXGBIYE5wNcA0wDGwOGA/oD7wRtBS4GPAYtBtQFMAV0BFsDSAKEAJb+4vto+ZH29/T/8kzysvEx8fHwRvAo7xnu6uwB64LqSeek5qLj0OLR4iPiiOWt5FHppenD7GvuR+7M77nt6e7Y7L7uU+0Z737vjfAG9Bn1m/pp+xkAZQGbAwYGlwW8B0oFGgWdAhwB6P9N/rj96/vS+7b6cPtZ+9b7ivt5+qr5/Pe+94H2F/a99OfzQfPk8rTzB/Ts9TD32fmw/CP/4wHIArMDqQP7A3QEvQRXBfYESgVhBMMEcgTYBCQF7wSFBdoEfwVWBJwDHQL8//n+Ov3f/AT8Tfta+jP5ufhM+ML4KflB+nr7/fze/j0A9AHfAgUESQVRBjsITgnhCkoMRQ0rDzYQQhLfE2IVEBfGFwEZRRm1GYcZYxkyGckYrxi0FyIXrRV2FCkT8hE0EQAQWA9EDpoNDQ2cDIgMewyuDPkMRA1gDVgN5QxgDLcLIwt9Cs4JqAiNB3YGtQWKBWAFoQULBd0EzQM0A30CowE8ATUAv/+Y/ur9qvy4+0v6KPlD+Ff3jfev9in31/Ww9aL0YPMj8w/xKvFk7xLvQu4q7fDskevI6wrrFuvn6qbqburx6aPo2eeW5QTlReP34gDjZuJ45OjjTuc36BbsWu/n8YL1rPU3+Lz3EflF+Wv5bvrw+YL8+Pz8/zMBQwOCBfQGtAolC04OIA1gDd4LsQlZCWAGkwZkA2IDUgG3ACYAzv4M/7P9c/72/b7++/1F/YH7n/kO+Gj2fvVp9Pzza/Nz83/zM/QE9UH2wfeL+Y/7Zf3t/rn/RQCNAPQArgFcAkAD3QO8BKkFEgdnCCoKvwvRDYYPUhGWEg8TphMIE0ETVhImEkERjRCwD44OvA18DBEMTQuWCzULvwt6C9ALqAuOC6ALSgvXC80LrQz3DKMN+Q2ADhkP0A+kED0R+BEyErsSsRKmErESJBJQErwRjxEsEWIQ+w+hDgsO6Qz2C00L0wknCZAHnQZtBR4ESQPEAfQA0//S/h7+sPzk+376ovnh+BP4jveQ9hr2b/U89Qr18fTY9Kz0lvQy9OjzFvOY8pDxCvFi8IXvAO+l7eHshuuj6l/pduhh51vmduUp5G3j6uHP4X7g5eA44LXgCeHH4YjjS+TT5tvnJOvn7PHw9/KU9pr4OPui/fX+EwKyAQgFqwOCBhIGWgegCCMIfAo7CdsL+ApNDLULFwvlClgJRwk6B24GpgMUApz/6P1J/IT6kPko+Af4lPfD94/3ffe09+H3lfjY+E35KflG+aX5v/nv+jH7oPxR/c3+TgCJAXMDZARgBmIHRglXCqULfAzjDJ0Nww2gDtAOiw+ND8UP6g+rDwwQYw+QD9cOjA71DQcNPgzHCgIKvghbCKYHVAcZB64G/AbYBqgH2gfXCIAJbwpUC/kLuQwFDb8NEg7QDiEPkQ/OD/wP+Q8MEAcQJxBFEDgQdBANEDUQdA9gD34OOQ6fDQcNoQxzC/kKhAncCIQHqwZ9BX0EfANfApABXwCg/2/+Fv5X/T792Pxr/Bv8Zfsm+2v6DPoD+W34NveK9kv1M/QU84bxCPFS72fvxu2V7XfssetZ6yXqNeqe6MjoMuc95+3lkuUD5Rvki+SI49zkNuTE5ULmc+df6X3qUe197ijxxPLR9Mj2Lfj++e76Vfwx/UL+8P6x/z0A8ADMAYACdgPpA7YEHgXaBUAGYQaFBugF7AUmBacEpgNWAlsB2/9M/9v9S/35+1b7uvpY+lH60/kT+ob5Lfr2+Zr6hfqA+sn6ifo/+wv7kvts+7L7Cvx3/DD9qv1j/gX/AgD9ADsCLAM/BDgFVgaHB4gIjAn3CccKEQuhC/ML1AsNDGoLsAtFC3kLPgskCzoLHgvEC78LegxiDO0M9AxwDYYNbw2DDboMAw0oDEYMlAs8C/YKiwrLCowK+ArhCjALlwvdC14MgQyaDJ8MbgxTDPwLiAvkClwKrQkxCcoIMgj2B34HXgcwBy4HCAfHBqEGLgYLBnIFAwUvBFwDiAKpAd8AAgBC/17+2v1C/fb8qfxb/Df8+PsB/Mn7zvty+y/72PpW+gT6VfnP+A74bffO9jP2vPUi9cj0RfQP9KLzcvMl89ryovJH8iryuvGT8Qjxw/Bd8Cbw7u/F78fvo+/67wvwlfDd8Gnx6vF68iXzu/Nm9OX0fvX49Yj2CPeM9/b3Yfjy+F35Bvp/+hD7nPsk/M78Rv3j/Uv+wv4r/3r/z//v/x4AKAA6AEMARwBCADwAOQBGAFIAbgCDAKkA0AD/AEMBewHLAekBOQJKApUCqALKAuMC4AL8AvMCBQMGAxQDHwM6A1cDhgOwA/YDKgR2BLsEAAVJBXEFvQXYBRAGJQZGBlcGXAZvBmoGggZ9BpIGmQavBsUG3Ab7BhMHLAdIB1YHbQdqB3QHWwdQBy0HCAfgBqsGfgY7BhYG1gWtBXUFUAUfBfgE2wSrBJwEZwRbBCgEDwTrA7sDnANbA0AD9wLdApwCbgI9AgEC2gGXAXQBOgEQAeYAuACXAG0ATwAnAAMA5f/C/6b/fv9j/zv/Fv/y/sj+p/51/k7+IP74/cv9of16/U/9MP0G/er8x/yt/Jr8fvxp/FD8P/wm/A78/Pvg+9H7s/ul+4H7cPtW+0P7N/sl+xT7CfsD+/36+/r++gL7CfsQ+xj7H/si+zL7NftC+0X7UPtO+1j7Wvth+2v7c/t9+377lPua+7P7wvvg+/X7E/wx/Ev8cvyM/Lf80vwC/R39Sf1t/Zb9wf3j/RD+Mv5l/oj+uv7m/hH/Pf9q/5X/vf/q/wsANwBeAIYArADOAPEADAEwAVMBcAGMAaABuwHNAeAB8AH/ARECHAIqAjICOwJFAk4CVQJhAm4CdAKCAokCmwKkAq0CuQLAAs4C1QLhAuUC8gLyAvgC9wL4AvUC8QLzAugC7ALiAuIC2ALZAtICywLGAsYCwwK+Ar4CsQKvAp4ClgKIAnUCagJWAkgCLwIlAg4CAALtAd4B0AG/AbIBnwGaAYkBggF0AWcBUwFHATkBJgEZAQMB8gDcAMcAsQCcAIcAcwBhAE4APwAvACAAFwAFAAAA7v/k/9j/yP/D/7D/qf+Z/4//fv91/23/Yf9f/1T/Wv9P/1L/Sf9K/0n/TP9Q/0//U/9S/1f/Wf9X/1z/W/9f/2D/Zv9t/2r/cP9s/3z/ff+I/4L/i/+P/4//mv+Y/5z/m/+j/57/oP+j/6X/pv+l/6v/rP+s/67/tP+1/7z/vv/F/8T/yf/I/9D/zv/R/9L/z//V/8z/1f/S/9P/0v/R/9D/z//Q/8z/0f/L/8r/zP/F/8X/wP+//7r/tf+3/6z/sP+l/6f/o/+i/5r/lv+Y/5H/lv+Q/5b/jv+V/5X/mf+c/5n/n/+b/6X/oP+q/6f/r/+v/7P/u/+5/8P/wv/Q/8//1//a/+H/6P/r//X/8f/8/wIABgAQABAAFAAWACEAIAAjACkALQAwADQAOgA8AEMARABJAEwAVABUAF4AXQBlAGQAawBwAG4AeABxAHsAeAB/AIEAgQCJAIYAjwCNAJQAlwCaAJ4AngCjAKIAqACmAK0AqgCuAK4AsQC1ALIAuAC1ALoAuQDAALsAvgDBAMAAxQDBAMoAwwDHAMYAywDOAMoAzQDKANAAzgDRAM8A0QDTANMA1QDPANcAzQDYAMoA1QDRANIAzwDMAM8AygDRAMcAzgDAAMkAwADIAMAAwgDCAL4AvwC4ALsAswC4ALUAtQCwAK0ArQCjAKUAoQCjAJwAnACTAJEAjgCKAIUAfgB7AHUAcQBvAGcAYwBeAFgAVQBMAEgAPwA9ADQALwAmACUAGgAUABEABAADAPP/+v/q/+r/3//Z/9n/xv/P/73/w/+v/7j/rP+n/6r/mP+h/5T/l/+P/4//iP+E/4T/fv9+/3f/d/9x/3D/bf9s/2f/bf9i/2v/Wv9k/17/YP9b/2H/Xf9a/17/V/9g/1n/Yf9g/1//X/9b/1//X/9j/2H/Y/9k/2v/Z/9y/2v/dP9r/3v/cv99/3r/e/99/4T/hv+F/5D/iv+T/5D/lv+Y/5n/o/+b/6b/oP+n/6T/q/+z/6n/tf+s/7j/s/+9/7j/vf/A/7z/xv+8/8v/w//I/8z/z//a/8z/2v/L/93/2f/j/9f/3//h/93/5f/f/+n/5P/r/+b/7P/q/+z/7P/r/+//7//u/+3/7//x//L/7//x//P/8f/z//L/8v/y//L/8//0//T/8f/x/+//8v/u//D/8v/0/+//7//v/+7/7v/w//D/8P/x/+7/6f/p/+//7v/v/+3/6P/q/+z/7P/s/+z/6//t/+j/6v/q/+r/7v/q/+3/7P/u/+//8P/x//P/8P/v//L/9P/2//f/+f/4//v///8HAAAAAwADAAcADgANAA4ADwAUABUAGQAdABoAHgAeACQALAAxADEAMgAzADgAPgBDAD8ASABIAE0ATgBOAE8AVgBYAFcAXABbAGIAYABmAGUAYwBqAGkAbwBtAHAAbwBxAHAAdABzAHQAdAB3AHgAdwB2AHsAfAB+AHcAegB5AHcAdwB4AHUAeQB1AHEAcwBwAHEAbABqAG0AbABqAGYAZgBgAGAAXwBfAF0AWwBcAFkAWABVAFEATgBQAE8ATABMAEkARwBCAEQARABEADwAPQA5ADkAOAA6ADYANgAxADAALwAsAC0AKgAtACcAIQAfACYAIAAhAB8AGAAUABYAEgARABAADQAMAAoABwAGAAYABAABAAAA+v/5//n//P/5//T/8v/x/+//7P/r/+v/5//l/+b/5P/j/9//3P/a/9j/2f/Y/9b/0//S/9P/0f/P/87/y//K/8n/x//I/8T/yv/F/8T/xf/G/8P/wP++/8D/yP/G/8P/wv/G/8j/yf/L/8z/zP/K/8z/zv/T/9P/1//X/9b/2f/X/9z/3v/i/+X/5P/l/+n/6v/q/+3/7v/x//H/8v/4//b/+f/1//v//P///wUABQAFAAoACQAKAA8AEAASABMAFQARABUAHwAeABkAFgAcABoAIAAcAB4AHwAeACEAGQAhAB0AHwAdACAAIgAgAB8AGwAdABYAHQAbABcAGQAYABgAFQAWABgAEwATABAADwAKAAgAAAD+/wAAAAD8//H/7//v/+7/5//r/+v/6f/q/+j/5P/k/+H/3//g/9//1f/T/8//y//E/7//vf+5/7n/u/+3/7b/uP+3/7b/t/+7/73/t/+3/7f/sf+y/7H/uf+1/7P/r/+u/7b/tP+7/7v/wf+//8T/x//B/8L/uv+8/7v/v/+8/7j/tP+1/7L/sP+2/7X/sf+r/6z/r/+n/5j/lv+N/4v/g/99/33/e/94/2z/eP94/3z/ff+I/5P/kf+h/5//pf+r/7L/rv+t/7r/uP+5/7L/w//E/8P/xf/M/9j/zP/T/9n/1//V/9n/4//e/9z/5v/n/+v/7/8AAA0AEwAnACsALgA5AD4AMAAfAB0AEwACAOj/5//f/+j/9f8JACIAOQBSAF8AdwCFAJkAiwCEAHsAcwBoAEwANQAsACMACQD9//j/8P/0/+v/8//x//7/AwAPACoAMgBHAFMAdAB1AIQAlwCeAJ0AhgB7AGcATgAzACcADQAGAPj/5f/b/9b/yP/F/7v/wP/A/6X/pf+P/6//r/+y/+n/2v8LAOT/KAAgADUAVgBAAJ4AdACxAJMAtADAAHcAqQCEAHYAOQA8AGsAewCeALIAHwF/AckB2QHVAcEBvAGKAQQBegBIAPz/v/9T/xf/C/8t/2P/ff/i/zEAxQDrADsBTwGwAdYBzQF7AVMBGgHBADAAX/8q/w//sf6F/pP+4f5F/7D/FABvAOcAJgGkAYUBNQEKAccAdADy/73/kP9//xX/W//0/gL+dP4x/rX9nf0w/Vf9h/3J/az9mf2K/kD/r//x/40A+QCOAfEBHgLuAQMCHALfAZABUQENAcEAqABFAD4AoP/X/tD+Pv7T/UX9mv3R/c79v/4b/+T+k//O/4H/2/6f/pH+7/0K/qT9PP5z/oP+bP59/6kAYgAbARACYAM7A1MC9f+I/wT/u/ya+A/27vR19Rz13/Se9db6JQNIBpULXw2OEv0YLRedFdoTexLLDbIISwYA/Yr7tPY29IXvPO8c8Qjs2vAF9XD5lvdg//MAHwV1CvQINwlACQkNPAc+BDYAfP3r+tL2iPRR8BDzzvXb9s73kfyaAhsHYQnBC7kP6RPfE84SfxJyEKkOXQdaAzX9EPq49kzwifDJ743xs/EN9Tr5UfxrAUUGtAdYCmENUQ1TDCkMmglCBsgEgABz/lL6x/mt9i32TfjH9nL3e/g+/JD8tADOAAIC9wabB2IHmQavCQsLFwlMCM8GSgihBjUCQP+G/en8Gfgg95LzqfKk8mDyBvEj8Dz0V/Xk9mf5HPvc/fUAMQI4A20C1wRBBLgBS/8F/4/7K/kh98LzYfTG8DryjPA084D2/fV0+kP8XAKLAsEDggdQCG8KAwYnBz0FqQI2ATD8qPtJ+ED3Q/ZG9Ej2f/ek+Nv6e//nAM8DDAcjCREK5Qo1DM4J7QiCB08G/wGFANT/mv3v+9T6jvtG+nT8W/x6/lQA2wHsA0sF3AWEBvIGKgaKBQYDAwNeAGL+lP1a+iH6Wflz+Bz5A/qZ+wP+6f8RArQFrQcUCcIJmQvhDCEMWwzECQ8KoAl+Bq4F1QI7BIMCZAF/AfsAUgAVAmgCKgFuAFwAcwE9/qn+3fuu/Kj7jvpn+uv4d/qa+sb8+PlI/YP91/5x/4L+iQEFADMCtgEUBAoCHgOyBL0CIQP9AHECrv87ABX/BABD/7L+JwKJ/wEBMQNGAokCjAOjA+4BUgFJAcj/gvuq+2777/di9wT2fveC9oz4VflR+tD9sf+OARUERgVVBbIIDwYRBtMFhAODAnX/eP7n/Ff69fkz+ez4PPot+c36QfzR/aD+MP9PAkkBnQLiArsAlwDiAAD/f/1S/P/7efx7+/b6K/sm/SD9/f0K/hr/BABwAI0ANwAyAesCUwGXAMkBOQEoAKP/zf+p/Q7/af6c/dn9vf0p/sP+lP+y/mcA8P+aAVYCDgHIAuABvQLdApkBrwE5AesB9wDy/xQBlABbAo0BUwGaAjwCSwQaA0MCiANcA/cCRAK9AHwBoQGmANX/hf/o/x4AFADy/+z/kwGnATkB5QF5AtUCSANsAnkCggPeAuACoQH1AosDJQMNA6MCVgTbBA8D+wKbBOgE5wOAA/oDswOXBFoD3QEsAlYCCAJ8AAgAkwDpAGQAhwCjAI0BHAJFAkoC6QPlBOQD0gQRBY0FLQWCA0cDgAP6AsYBi/+GAUIBxgCtAP7/9AHTAd0AIgHsAEwCmwJhAZMCdwMABOQC7AJUAzACKQIMAQ4A4ABt/0f+Z/67/Qv+JP0+/UL+m/1I/fH8G/3J/Dz8ufyY/Kf9qP2I/UkAqgDlAJgBAAO6A54CpAJoAsYCvAHYAIQAcgAHALj++P0K/rz+tP24+578PP3K/G38k/uf/Iz9Pvy3+xD8Pv0P/dr7Ff1V/jT+i/4Y/pX+WgAh/yf/vf9c/1YBDwCO/9cAUgB7AGMA9v+pAagALAD2AL4A6ALQALYATwHu//gA/P5Q/iAAy/5f/1kAvv7AAKP/Af9GAMb/1P/d/jL/x//m/sv+Jv7o/jIAAf+s/o//ggFgASkAtgDFARsCggCw/xcApQC1//H93P0+/zT/sP3k/Un+ev+C/y/+v//0/4UAtAHWAEIB+AE6AYYAMgB0/6P9/v34/P786v1I+7H80/34/QH/Xf+o//QACwGZAUEB/gA3AgUA///z/8f+Kf4Y+877cv2C/Jr7u/tj/m7+/f1F/2YAGAHcATwA9gCLAogAa/9V/wz/xP8j/Z37+PxU/jn9nfse/In9G/9q/vH+/gAsAt4B3wGOAr4B2QDL//j/uf/C/dj8OfxG/UL9k/2W/Rj+aP/F/2wA7ABWAWMB0wA7AukAZP9w/0b/FgCO/yT/2v/gAD8A9wCzAasBLQKVAeEB6AFfAmsCwwGmAXYAJAFBATj/gP8yALH/9f99/6T/wgBfANr/ZQFgAG4AAgH8/9QAcwD4ANQBFgEHATsB9AAMAXMAUQAHAPr/EgAq/zoAwv9+/54AWQDiAPUBKQLXArEC5gIQBKsC5wG4ATYCuQFMADIAwf+CAML/M/+B/+b/0gDhAJcAHgH9Aa4AfABYAJ//WAAJAXUAqP8jAO3/uP8E/+z+UP8R/zD/sv4gAO8Acv9LABICDwJWAcUBMgIUApACLwN6Ap8BIwMtAk4AwwDPAJEAOv+U/ygAywBKASABTwHNAKwB2QGaAJL/pv9t/m39Mfwp+rz6GfsT+wD8O/31/fn9c/1O/nX/tf9gAIIAVgBuAWQCiAA9AKABmgC1/5//sv8eAD4AAf+SAFIBmgDgAHcAfgDrAJgA1/7S/jz/av4F/sH9Vf5W/iz9sP3Z/t7/Gv+c/ywA6v6f/mD+TP43/WL+N/41/RT+k/4M/6r9gf49/3j/Jf7K/NL+V/91/04AZgGXATUC3AHz/+MAlwAa/wb+9/35/rP9w/wP/YL9Y/1L/ab+rP64/oX/nP9u/wMA3//Z/tn+a/9gAL//Ev/t/jr+kv59/kf/IwDc/5IA0gHnApoC1wIuAz0CEgLOAWoAmf8+AIX/A/8y/yz/r/+9/hr/bv8DAQECWwDuALUBxgIzAlIBjgFcAb4A8/7j/rb++/3j/eb9//4pAP4AQAGEAoYCTwPEBIMCEAJ0Ar0A2/6F/74A7P5u/or+K/+y/9/+5/5b/4IAZQBdAFYAHwHEAY4BVgIAAWwAIgBA/1b+Uv6I/zr/i/56/mT/bf+j/zMAWACZAN7/MQC0AHUAigCrAM8AMQATAHn/N/4y/k/+pf/n/2b/gwDVAcIBbgHDAv0CwwIoAvsB/wEzAcAA+f/6/6v/gP8n/7j++f4O/3D/8f9+AJwADABzALgBCAJqAdUARQHkAAEAdf8r/2j/NP+5/qL9Vf6r/kH+bv7m/jkACgEOAdIA6wFCAvQB+wHoAZkBJgC+/vf+CwDx/kz+DP9xAN0AhgBEAeIBOQLuAecBZQE/AcoAhf/i/kH+QP7n/RL97vu6/OT9gv3P/UL+KP8IAMIA9AAMAQUCfgKBAgECsQHJATUB2f9B/0//yv7Y/jv+CP7E/mr+o/50/yEA0wB6AXACGQOqA0ADtAJAA04CAwE4AA7/tP5d/ur9vP0Y/qr+mP91AJgAWQEIAmYCkgI0Av0BDwLTAUgBgwE0AZkAgAAGAOX/KQAqAAcAjAANAb0BRAKOAY0BpwFnAV0BFQHuAMgAoABqAHMAiwDy/6//vP92/3T/Zf+d/+X/9P8jABwAnwCDAAsAxv8BAGQA6/+G/+n+f/+F/1D/0P/j/1kA/v+LABMBGwGxAEsA6wAcATwBogDYAGoBKgH5ANUAqwATAKf/7/48/7H/A//G/hH/jf91/xb/Gf81/2n/V/9A/9z/7f80/yv/Sf9n/0L/T/46/i7/iv9m/47/JwALAUsBYgGdAcABuQEbAYcAKwDv/6v//P6G/pD+DP+j/6L/xv9ZAO4AKwGMALD/1P/u/yj/ef7g/eD9nf2m/JT8Zf3v/a79ev31/bv+2P6e/vz+yP8/AMT/T/9E/w3/2v4x/ln+v/7H/tL+xf5q/ysAqgCIAOsAZQGNAboBQQEGAdcAogDI/zP/wP5w/o3+Mf59/vT+qv/4/zQAJwGNAfMB2gGSAZsBgAHjAFYA6//d/kL+qP1F/aH9xP3r/ZD+UP/b/2kA9AC/AUcCegIrAtABTwFnAK3/Cf/B/iD+xv2e/ej9hf4p/28AAAFIAjgDVgOwA3wDBgOlAiAC7gBtAIb/kv6X/lj+qv4o/6f/HwCsADoBrgEOAssBBAIJAkkBxQAsAJj/XP8C/7/+X//C//z/mQAeAf4BwQLHAtMC8AL2Ar4C7QGaATgBkgAzAPD/CQA0ADAAGwCwACkBXgF5AUcBewF0AesAFgBn/9H+Pv56/dj8RP0v/e789fwi/TT+1P63/gf/ZP9y/0T/pv5w/tr+bf7E/cL97/0X/vn9tP12/pP/ff85/3//p/+5/3L/2P5V/3z/XP65/aX94f3y/XP9KP0h/qT+T/6r/h3/2P86AOn//v9wAND/Nf/o/q/+/f4k/oz9wf0c/gz+Z/6j/h//u/9e/6D/7f8OALz/x/+Z/5f/tP8L/3L/kv/w/1gAzQAKAYMBmAHJAX8CjALUAo8CsgJOAoICoAKfAuMCsAIGA9MCagPLAtYCSAPeAl0D5gLPAq4C1QKQAu0CkgMtA2ED9wICAyUDQAPsAuQCQgMUAzIDCAMyA1ADlQO9A3wE8wQbBRQF2gRxBYYFygUpBZwFygSRBAwE/QJJA1ECZwKOAUMCiwEgASIB/P9BAZgA4AA9AF8A+v/i/uv/BP8pAEz/1P4B/wr+uP3G+6/7KPrK+fL3Cvbw9VbzM/Pa8U3yR/IB8i/xofDR8Qzw/fCO7xjwpe8n7u3tIe3H7aTsy+3U7ZrvePB68DryZfNR9RP2xfdT+Ij5kPlA+Vn6V/qv+nj6I/ur+1/8sfyt/C/+e/4h/6X/+f9KAIr/LP+b/v7+Uv6J/bz9ef3M/SX+N/76/hcAMABcAUQC5AI3Ax8DSAMyBLQEvwTfBRkGcAfxB8QIRgq3C4EMTg3hDq8OLxDaDhoPaw+2DngPPw6HDggOMg6RDWwOHg+TDsYPBA/sD04QFhALEIkQtRBtEGkQIhByECAQPRA9EPsQlBEsESYR0RE9EqcSKBJLEkASLhJkEa8QZxCWD/kO+Qw6DUQMhwuXCr0IEAlWByIH8gRgBMMCXgH4/4f91vwG+gn5wfU49UjzZPG/8Fruf+7A7NzsietB6+zqg+k06nzoQ+kv6FPnROi95jXncubm5d3lW+TB5A7i8eGe4Crfht9N36XiGOKs5h/oHuqb79bwJ/XJ9zb8Pvym/xcAP/8vAocACgLeAlkEmARUBlkG1wbaCGEIJwnnCKEHCwYIBEIBl/9K/Qb7j/kG+Lj2lfYQ9tj1hvdc92b4xvlw+UT6tPrk+qb7gP3A/Rr/0gCXAUwEsAbtCNYLFA7VD14RtxI7ExwTMhNdEqURqBAUD0EOewxwC7gKBQpRCrMJBAkOCH8HTgbdBCIElQJOAk8B5/8VAGz/DQCz/xoBSQMsBXgHvwenCogLwQ2wDvYPWRL0ElwU1RN6FWEVCBaeFrEWiBiFF0oXCBaNFdIUNhO9EuUQhhDTDawMsQtHChQKaghfCcoIfwggBwcGnQZ6BYIFzwQ/BfUE7QMhAzADUAQ2AwsDLgKOArQB9v6+/fb7tft7+Ab39fQo9D3yqu9175vuce+h7OXsE+xy69rqk+if6Pbnouf25V7mDuZa5fXk+uN+5Xflm+Tt40XkV+QC5FfkmuRG6A7rSe7J8X32e/j6+kX9W/8OBPAC+wRuA3QF3gSUBLUFMAW+CPUFoAgECD4I1AcwBXoFxAP7AvP+zfuw+WD3IfZw9CD0HfSP84Tza/S99cz2vPeq+En67PsP/Jf8Uv20/rkAgQIHBSkHcQnECg8NGQ8sEXMSTBKOEuERBhIvEBAPjw1hDL8LhQq7CaEHtQbvBJIEAwQZA5oCQgD3/2H+5/09/aD8Gv0t/eH+J/9KARMCawPZBKoFzAd0CPMJjQppDOYNRQ9eEWgS7xRiFrsXkRjjGB0ZZhhVGDMX4RbJFRoUlBPtEZgQZA9cDj4Nxwx/C6EJlwkBCFgHngaOBWoFGQWfBDkEkQSyAykETQQVBFgEbQT6A34E/QRzBKgETgTCA/UCwwGV/1/+N/zQ+cr3PPVm86zxBvDy7fns4esD64Xqbelk6Ljn8Obg5Y7lrOSS5M/kFeVv5qznROgN6Ubph+kO6vXpG+pW6b/oxuhd6UrqjetE7Qzx7PUl+uH9Uv8FAe0BNwPjBDEGWAa7BI0DogK/A0AEzANEBIMESQXcBI0DXQKjAPf+2Pxm+yn6hvfT9LvxRfE18i7zBfRN9GT1Nva19+r4Bvof/LT8xv7d/4gBfQL6AmkECwbICNAK2AxDDkcPUhC3EAMRuhDSD1wONA15DD8LMwqlCCUICwiLBlYFXQOTATsAGf5I/aD8zvxv+zX7vfpA/DD9gf1e/8sAxgPyA/EEngVgBm0Igwi2Cq0MCA7GD5IQ9BKpFL4WOBchGb0ZURm1GMAV9BSnEvwR8RDkD6IP4A2ZDOELVAqiCoEJPAggCB8GHQZXBeUEMQXoBTEGFweeB4AHzQfoBnkHGwd1BqMGqgR9BboEQQQaBQoEdQS+A10C9AGAAIH+c/u1+Pj0h/Kr7pbsdern6FzosuaN5zvm7Ob+5anmFOYn5sPkU+Oi433iOuVz5anoWunC69nsa+7M78/vTvBw7y/vEe4P7YDsw+yx7unwzfSy94n63Pvj/Lj9+/5rAcQBaALmANgA0/8BAJ//bwDpAOsBEwMtAtcCnwBxAFv+SP4f/fj7Xfq/90z2YvTH9IX0CvYL9hT3XvcG+F351/kj+0H89P36/iAA2wDcAVwD4QTIBu4ILQt/DH8NkQ00Dt0OHQ+rDw0Psw53DVMMrQvICsAK4wnzCNwHqgbzBMcD4gHIAFcATP8I/yX+Ef6c/S7+1P65AAECvANuBCkFKAaSBgMIpQiBCpcLtgzoDVoPuRAaEpETRhXcFrAY7hhwGRQYqRcFFrgU9ROgEVgRwA4vDkAMxQs3C2QKvQp+CeMJpQizCN4HZweRB7MG5AcHB6kHUwcjB5cHkQfdB2YHzAe6BqsGSAXlBGsE1wNWA8wBjAEYALL//f3P/Oj6HPmw9uTzs/G07uDsz+oc6YroSOeU5kDmu+Vg5qrlJ+aM5cPlceXt5GflQeUx52Xnsen/6qvtZO/W74/xnfBO8rHwz/Aa8ADwHfFg8NPyYvNT9sT3pflx/Pj9fQB4AE0BCgGMAaEBHwF+AYcAagBW/3j/LQAZAcAB5wGJAVsBkgB//37+A/0j/Fz6QvnT95r2hvUk9Wz17fZd+Nz59Pra++38hf3m/u7//wFVArEDrgNxBJ8FRQadCFEJ7AuaDOcN3w4XDx0Qhw9sEBQQFxCQD40Oxw0lDGALuglsCZIInweGBuUESwQ9A/0CjgI3AhACnwEeAfUA1ABnAZYBNwJ8A3UETwY9B+YIbApVDGEOGhDrERsTXxTrFNwVdhYUF1IXJRfQFh4WWBVdFGUTOxJAEeoP3A5bDQcMugqiCS8JhghpCOcHogc0B+MGmwZXBhMGgQUIBR8EgAORAi4CpAGGAXsBXwGSAXoB1gGbAf4BmgGuAeQAOQAg/4j9VPz3+a34Svb29BLzgPFE8Ijuye0i7IzraOq66cXovuf35hTmpOXs5K3kLeSH5Kjkr+Vh5onnkOhX6a3qGOuK7OPs/+1x7gbvEfDe8JjyzfOT9QX3mvhO+qD7E/3m/d/+ff8iAKkA+AA/AQ4B8QCmAM8A6gAwAWkBZQGVAW4BtAGTAa4BfwFPARABpQBcAK7/Xf/O/r/+r/7s/jP/av+3/+T/VQDDAGIB1AFHAocCywIBAzIDbgOtAxEEhwQQBZQFKwarBiwHsAc4CMgIPwmVCbkJygnBCcwJ3wn9CRMKIgoeCgUK+wnXCc4JpwmWCWkJQAkICcAIegghCO8HuQekB4MHbAdNBy4HGAcSByoHUAeGB68H4wcPCFYImQjcCBsJWwmXCbwJ2AnaCcwJogluCSoJ6winCEgI5wdrB/4GlAY7BugFmAVHBfIEmAQ/BOQDjAMzA9kCgwImAs0BcgEXAcsAiABRACkACwDx/9n/y/+x/6T/kP90/1f/Lv/6/rn+c/4p/t79jv0+/e/8oPxS/AX8ufts+yP71/qL+jT64PmF+Sj5zPhs+BH4v/d19zD3+/bD9pX2a/ZN9jT2H/YS9v317/XX9cr1ufWu9aL1nvWm9Z/1rPWz9cr14fX/9Sb2RPZw9o32uPbb9gn3Nvdc9473v/f29yX4Xfib+Nv4Gvlb+aD54/kt+nX6wPoJ+1b7ofvw+z38jvzi/DL9hf3T/SX+dP7C/g7/Wf+a/9v/FgBTAIsAwAD1ACgBWQGIAboB6QEYAkcCdAKdAsYC6wIOAzEDUQNwA4kDowPAA9wD+QMVBC8EUARpBIUEoAS1BMkE3ATqBPYE/QQBBQMF/gT6BPIE7QTkBN4E1ATJBL8EtQSpBJoEiwR5BGYEVARFBDQEJAQSBAIE8wPlA9kDzgPEA7oDsgOpA6IDnAOXA5ADjQODA3kDcANoA14DWANPA0EDNQMmAxgDBQP4AuYC1gK/Aq4ClQKBAm0CWAJFAi4CGgIBAuoB1AHBAaoBlQGGAXYBZQFVAUUBPQEsASABEwEGAfcA5wDdANEAxgC4AKsAnACSAIUAeQBvAGQAWwBOAEQAOAArACAAFgAOAAIA+P/r/93/0f/A/7P/p/+T/37/av9c/0v/QP8u/x3/DP/7/uv+2/7N/sD+sv6j/pX+h/58/m/+af5e/lP+Sv49/jT+Kf4i/hz+Ff4Q/gv+Cv4F/gP+AP77/fn99f31/fX9+f36/fz9//0B/gT+Cf4R/hv+Jv4v/jb+Qf5K/lT+X/5p/nf+hP6Q/p3+pv62/sT+1/7k/vL+Af8P/xv/Kv81/0H/SP9T/17/aP9w/3X/f/+E/4n/k/+W/5z/of+m/67/r/+2/7n/vv/E/8r/zf/P/9n/3P/j/+f/6//u//T/9//8////AAAEAAoACgALAA4ADgAPAA0ADgAOAAsADQAIAAcABQAHAAQAAwABAAEA/v/7//X/9f/v/+7/6f/o/+b/3v/b/9j/1v/S/9H/zv/M/8n/yf/G/8T/wP+6/7X/sf+u/6n/ov+c/53/k/+O/4j/hP96/3P/bP9l/17/Uf9M/0L/O/8v/yP/IP8T/wz//v76/u7+6v7f/tf+zv7G/r/+u/64/rH+rP6m/qH+of6h/pr+nP6Y/pf+lP6U/pP+lf6V/pn+l/6b/p/+nf6i/qH+pP6i/qT+ov6p/qn+qf6t/rD+tv64/r/+x/7I/sv+0f7Y/tz+4v7p/vH++P4F/wr/Ef8W/yL/J/8x/zn/Q/9J/1L/V/9k/23/c/96/4P/if+N/5f/mv+m/6z/sP+6/7f/xf/B/8//0v/b/93/3//l/+n/8f/u//v//v8GAAQADAAOABEAFgAZAB0AIQAlACcAKwAvADMANAA6ADsAPgA+AEcARgBMAE8AVABTAFgAWgBbAGEAYQBnAGIAbABtAGwAdAByAHgAdQB6AHkAgACAAH8AhQCCAIgAhgCLAIcAjACNAI4AjwCRAJIAkQCRAJAAkACTAJIAkgCVAJMAlACRAJAAkwCOAI0AiwCLAIkAhwCEAIIAfwB8AHoAdQBzAG8AbABpAGQAYgBeAFwAVgBVAE4ATQBKAEQAPwA4ADYAMQAsACgAIgAeABsAFQARAA8ADAAGAAIAAAD5//P/8P/r/+f/4v/g/93/2f/U/8//z//L/8v/x//J/8P/xP/B/8D/wf/A/8D/vf/A/7r/wv+9/8D/vv+//7//vP/E/8D/x//C/8T/vv/E/8X/yP/O/8r/0P/Q/9f/1f/a/9r/2v/d/+T/5v/o/+n/6v/r//H/8v/3//v//P/8/wEAAAAFAAcACQALABAAEQAWABgAHQAgACQAKgAmAC0ALgAzAC8AOAA4AD0APgBCAEEAQwBGAEUATQBIAEsASgBNAE0ATQBQAE4AUQBNAFEATABRAE4AUABQAEoATwBLAE0ASABNAEsASgBJAEoARgBJAEQARQBAAEMAQABFAD4ANwA1ADgAMwAxADEALwAuACwAKQApACYAJAAfAB8AHgAdABkAGgAWABcAEQANAA4ACwAPAAgACgAIAAYA/f/9//3/+P/7//X/+f/y//T/7f/t/+v/6v/n/+f/5P/k/+H/4f/e/9r/2f/V/9b/1v/c/9D/1P/M/8//zf/M/8n/xv/I/8H/xP+//73/vf+7/7n/tv+4/7T/sP+v/6z/rP+q/6j/qf+k/6X/oP+h/5z/nf+X/5j/lf+V/5X/jv+S/4r/i/+G/4b/hP+F/4P/hf+E/4L/hP+A/4H/ff9+/3r/gP9+/3//ff+D/3z/g/+A/4L/hf+F/4b/iP+N/4v/kv+R/5T/k/+W/5r/nP+i/6D/qP+l/6v/qv+y/7H/t/+6/7r/wv/A/8f/yP/P/9T/1f/Z/97/4f/n/+z/7f/z//v//f8GAAgACwAPABUAGwAfACUAKQAuADEANgA3AD8ARABKAEkAUwBVAFsAXABjAGIAZwBtAGsAcwBxAHgAeQB+AH8AfwCCAIIAiQCJAIsAjQCPAJMAjgCVAJQAmACWAJsAmQCcAJwAoACkAJ8ApQCfAKQApACsAKQApgClAKQApQCkAKUAowCiAKAAoACiAJwAngCZAJoAmgCYAJgAkgCXAJEAjwCFAI4AggCJAH8AhgCBAHwAewBxAHYAbgB1AGkAbQBgAGUAXwBgAFkAVQBVAE8ATwBKAEkARQBDAEEAOAA4ADAAMgAoACsAKQApACMAIAAbABgAGAAVAA4ACwAKAAQAAwACAPz//v/6//j/9P/y/+//7P/t/+r/5v/j/+j/4v/g/9//2//d/9f/3P/a/9j/1v/U/9X/0v/U/9L/0P/M/9L/zf/P/9D/y//Q/8v/zP/K/8z/y//J/8j/yf/L/8r/y//J/8r/yv/K/8r/zv/N/9H/yv/P/9D/z//R/9X/1f/V/9j/2f/f/9r/4v/i/+T/4//i/+T/5v/o/+j/6//s/+//7f/x//L/8//z//n/9v/5//z/+v/7////+////wMABQAHAAUABAAEAAsADgAMAAoADAAMAAwAFAAYABEADwAPABMAFQAVABQAFwAXABoAGAAXABoAGAAXABkAHQAgABoAGwAYAB4AHwAgABgAGgAcABkAHgAcABwAGwAbABoAGwAbABwAGgAZABwAHgAdABsAGQAaABkAFwAZABkAFgAXABUAFAATABIAEgAOAA8ADwATABAADgAKAAoAEAATAAoABwADAAcABgAHAAQABAAFAAEA/f/9/////f/+//7//f/8//z/+P/6//v//f/8//b/9//3//b/+f/3//f/9v/1//X/9f/6//v/9v/x//X/+P/7//n/+P/x//X/AAAEAPz/+P/2//v/AwAFAAAA/f/6//z/BwAMAAIA/f/+/wYACwAPAAcABAAHAAgADgANAAkACgAMABAAFQASABEADwAPABQAGwAeABsADQAQABUAGwAeABcAFQAWACAAIgAeABsAHAAbACEAKAAoACAAGAAcACkAMQArAB4AIQAlACsALAAqACcAKwAsACoAKAAjACwAMAAwADIALAAuADIANQArACkALAAzADkANQAxACcALAAyADMALQAoACoAMwA9ADoANAAlACoAPABIADwANQAqADEAQQBIADoAMgAxADoAPwA4ADcANAA5AD0AQAA+AD4AMgAzAD4ARAA9ADIAMAA3ADwAPgA5ADMANABDAEUANAAwADoANAAyADIAPAA4ADEALAAyADMAKwAvADYALAAhACUALgApAB8AIwAiABkAFAAWABwAFAATABQADwAOABIADQD//wAACQAKAPv/+//4//j/9P/z//X/7//v//L/8v/q/+//5//p/+n/6//o/+b/4f/c/+D/2//b/9j/2f/a/9f/1//P/9H/0f/W/9v/1P/Q/9X/2v/T/9H/1f/W/9D/z//Y/9b/1f/P/9j/2P/a/+D/3//l/+f/5v/g/+X/6v/n/+X/6v/r//X////9//v/+f/8//n/AQAAAAcABwAFAAwAAwAOAAoAEgARABAAGAAaABcAFAAaABwAJwAmACQAJwAlACgAJAAjACUAIAAdABsAIQAgACMAHQAcACYAKgAlACMAFwATABIACQAPAA4ACwANAAcAEgAJAAUA///3/wIA+P/6//P/5P/h/9r/4v/j/9//2//V/97/5P/f/+H/3P/b/9r/1f/b/97/3P/S/9z/7P/h/+T/2v/Y/+b/5P/v//T/9//5//v/AgADAAQA+f/v//X/8//v/+3/3v/W/9H/0v/T/9D/xP+9/7X/tP+y/6X/lv+A/33/cP9m/17/UP9F/0D/Qv9E/z//Nv8y/zT/L/8t/yz/H/8c/xX/GP8e/yH/I/8j/xz/Gv8b/xz/Gf8Y/x3/F/8U/w7/B//+/vz+BP8D//v+8/7z/vL+5v7x/gD/C/8a/xz/J/9J/0b/Rf88/0P/Uf9E/z7/Uv9B/z3/Rv9v/5r/tP/Q/8P/1P/c/9n/yf+6/7D/pP/M/87/0//K/6v/uP+3/7T/wv+v/47/c/9Z/1H/Y/+B/4L/iP+a/4r/kP+j/7//0P/n/+//5//c/7j/hf+F/2H/Xf9i/2j/if+V/63/mv+y/6//wP/1/7f/t/+Z/03/Mf///on/jP+d/+z/dwB2AJwAdQBSAN4AgACyAKkAIQKPASQC0QO3BHUEzQJMApgGdgNxAM//UQChDMQJxAWpBsoD0wONApkB5//XALECOQMiA9YC+AO5A18BdgLNA/sC1wP9AUQAaf5wAGkBoQKlATAAnAAh/+X+ef/4/xn/Mv28/Tf9Jv1d/Sn8//4b/8/9t/6+AB0GiAf+BJUE2QJVAlsAav///+X/ogHsAZ0C6QMHBPkDUgS+A5gDnAPnAn4CVwE9AdgBUAG9AOH/QP50/XT9pv2k/tf+Lv8L/0D/0/9g/1T/mf6c/pD+QP43/gv+Ev4J/hT+qP5p/zcAGQFXAagBOgI9AuQBNwG4ABQAif92/5D/uv9Q/wj/7P4L/7T/GQBjAOEAJgFpAe0BFgI3Ah4CFgIAAvkB9AEKAjACWAKnAj0DGgSvBCQFAwUhBTkFTgVyBTIF+ARMBL4DNAOZAjMC0gHDAcgBtgGTAV4BDwGdAEkAyP+3/5X/Rf///pv+Xv5F/in+Nf5l/qP+9f4z/13/lP/V/xMASABoAGQAYABDAAkA0v+G/1z/Z/+G/87/GgAiAB8A9/+//4//b/9d/zr/DP/T/rD+pv6k/pb+b/5X/lb+bf6A/pP+r/65/tT+2/7o/tP+kP5N/h7+Pv6K/iX/uf8xAJEAzAAsAYEB1QEnAksCXAJRAkwCRAI1AiECCQIgAlICrALqAgMD6QKRAk4C9AHQAacBcgE4AcAAXADh/43/TP8J//T+2P7q/uj+5f7h/tr+9f4a/1z/hf+Z/37/VP85/yX/MP8V/wj/8P7X/tv+1/7n/sD+jf5F/vz91/2k/Yj9Pv0H/c38qfyd/J/8oPyi/Kz8tfzP/MT8tfxu/B78vvtE+9X6K/qe+d/4Tfjn9533h/cv9//2l/Zr9jn2C/br9YP1KfWy9Gr0GfT988rzsPOm87/zEfRT9N30OvXU9W/2NvcY+Mz4cPmw+fL5BPoh+jX6OPo++kX6c/rI+j37u/s+/M38Vv3r/Vv+t/7d/sD+kP4//gb+zv26/Yr9Zv1F/Sz9Vv2Y/QH+b/7f/jb/hv+p/8P/yf/S//j/MgB2AMgADwFZAaAB4wFHArgCUwPRA0AEdwSJBJwEqwTqBA0FUwWGBdAFGgZgBrwGDweYBzAI/wjRCa8KegsMDIcM3QxMDcENPQ5/DowOWw4LDrYNXQ0ZDb4MZAz5C4MLEguKCvwJVAmsCAkIcgfnBjoGbAVsBFcDNQI6AVoAjP/H/v39Q/2h/C78vfto+/D6e/oL+oj5Kvmi+ET4v/dm9xf37vbk9rn2q/Zb9jX2/vXv9dL1mPVB9cP0O/TE82bzB/PO8n3ybPI68j7y+/Hg8YXxPPH48Jjwl/Ap8Pjvc+8y7y7vXu8Z8JLwmfEr8jXzDPQT9Tj2CPdW+Oj4RPoB+3H8qf39/gABtwLCBT4Iggv7DSMQDBJKE8oUmxVkFlQWnBViFIsSrRB7DrMMvApiCQoIHwdEBkwFeQQsA2MCSQHEAAsAE//2/Sj8x/o4+ar4S/i1+Bn5+/n9+jP8uP0b/50A/QGDA/wEUQZSB/oHLghoCJQIVAkmCngLdQxuDQ8Ong42D60PKRAxEBsQew/QDs4NnAxYCxAKHQmbCIEIqwjgCAoJNQl1CfsJnApqCwoMigy6DNsMzAzlDAENSw2wDUgO9w6rD0YQwRAPEV8RjRG+EaERURGiELMPkg5mDTAMFwsICgYJHwg5B3sGjwWQBHwDVQJcAV8Aef9//nn9efyF+9T6XPoa+hb6H/pU+pb6zPoh+0X7a/t5+177Yvsd+/v6ffr1+Vn53Phz+Fb4Avju95P3DffD9un1rfWi9CP0OPNq8rrxlfAf8Nvuau567Qjtnewx7CTsfOtc66rqk+pz6rDqKeuP62Ds6ezv7QDvLvCT8eHyUPS99QH3ffhO+b76Z/vG/Pz9fv9yAQoDWQUMB3cJrgsJDjYQmBGMEkcSqRFgEO8OSA1ECz8JIAc3BZ8DRQJAAW8Azv+E/wn/8v4c/nv99vup+j/56vdh92f2ePbC9Tb2UvZN97P4BfoP/ET9NP9aAMcBugJQA9UD+QNsBNQEXwUdBpMGSAfYB6EIrgmNCqELBwx9DFwMJwy+C/IKLwr3CBQICQdhBtgFYQU+BfsEOgWGBS4G3QZkB+sHHwiUCNgIZQm/CRsKfwrpCsILZwyDDTUOCw+kDw0QlxCoEOoQlBA4EIMPsQ7rDegMCwzwCgYKNgmsCCIIkAe4Bs0F1QTtAzIDVgJ+AUsANv/4/fT8JPx0+w77jfqV+mn6v/re+hz7N/sm+1b7IfuA+x37//pF+qv5EvmA+Eb4l/dq94z2Vfat9Zv1K/XM9GH0hvMm8yDyyvG28PDvB+/i7YftoOyW7Avsfutc653qDOur6hfrI+v16nDrCusH7ADs++x07QfuOu/M78jxYPI19MD0/fUQ98f3cvms+Vf7j/sC/er9N//KAMwBxgO6BPoGXwhTCl0LDgweDHcL1ArTCesItweABj0FFQQ1A40C9AF8ARcB3wDGAKUAUQCU/6f+Z/1f/G779vql+n76W/pR+of6AfvB+5r8hf1W/iL/4v+QAPMAPgEzAXYBsAFfAggDtANIBK4ERwXVBb0GhAdZCOgIOQlXCUUJKQnhCI8IBwiaBy0H+gbEBqIGeQZ5BrkGHwfMB0EIswjLCO4IEwlOCbMJEwqJCtcKTwu5C1kM6wyFDfUNTg6dDrkO6Q6mDm4O0g1GDbYMEwyeC8cKNQo4CZMIywcbB4gGoAUCBQsEdAPDAjsCsQH4AF0Alv8D/3H+7/2M/RD9xfyH/GL8YPxD/ED8Efwc/BP8Lvwp/PP7uPs0++j6WfoR+o35E/mh+Pj3pfcH99L2SfYD9p31IPX29Gf0LPRz8+fyV/Ko8Xbx1PCc8B/wk+9k7/HuCe/N7sHuq+5b7mruN+5t7ojutu4o70zv/+9i8CLx6vGE8nzzDvQe9cL1iPYl93X3OPiR+KD5WPp2+378j/3V/uv/jAGzAlUEXQV/BjYHgQe+B0gHDgdABs0FMQW/BGoE5gOqAz0DIAMPAxQDIwMEA7UCOwJ8AdEA+f9Q/8L+Tv4w/vr9MP42/of+2P46/9r/VAADAVUBqgHIAcsB8QH9AUkCggLmAjIDlgPyA1YErwQMBWYFvgUtBmEGsgaYBqEGXgYqBgMGuQWpBWEFVQUtBSkFMgVOBYUFywUqBoEG4wYoB4AHogflBy8IiAgOCYkJDAqPCvwKgQvgC1EMqgzeDBgNCQ0cDd0MnAxFDLkLZgvGCoAKAAqcCSoJiAgSCFsH5QZHBrgFJwVsBNoDIQOGAuQBQAGzADAA1v+B/zj/6/6O/jb+6v2h/X79Tv01/fr8wfx8/Df89fuq+277I/vs+qz6a/oV+qL5L/mr+FX4DPjQ94/3NPfh9nn2FvbM9Xj1RPUD9cf0kPRc9DX08/O783PzV/Nb82PzcvNb8y3z7PK78q7yuvLt8hDzNfNV84HzoPPm8yb0gPTT9Dr1m/Xo9Uv2X/a19tH2W/f297P4rPla+lL7+fvs/NL9xv7b/50AgwEDAoECzQLvAh4DKwNiA5gD4wM+BHYEswTGBOEEDwU+BW8FdAVcBRMFsgRMBN4DhQNBAxYDBwP6AvsC+QL7AvkC9wL/AhMDQwNhA28DVwM8AyEDMQNSA3kDtgPdAxsEPwRgBHsEkgSwBMAE3wT3BBMFLQUpBRgFAwX0BP4ECgUZBRwFIAUkBTAFQAVLBWAFbAV8BYYFmwWrBcsFzQXcBQQGOAaZBtgGJAdbB5cH1gcDCEEIWAhxCF0IOggECNoHoQd5By0H6ga5BqgGxgarBq8GZwZOBisG2QW3BTUF4gRWBLQDMQOOAjsCzQF1ARwBwQCvAGkATgAAAJf/UP/y/sb+av4H/qP9Pv3p/JH8Wvwf/Ab83/uh+1r7FPva+qb6bvoY+u/5u/mk+Z35ZvlB+Rr5+Pj1+Nj41Pi/+LP4n/h2+GH4WviB+H74d/hb+D74U/g2+EH4DvgG+PX3Afj89+L37ffP99D3p/el96r31fcF+AT4FPgG+Er4aPia+KT4vPgA+Sb5fvmZ+fP5Ifqf+vf6hPsR/Hf8Mf1w/QH+R/66/hz/b//o/ysAnAD5ADsBmgHMARwCfgKzAigDOQN6A50DugMFBBUEWwR9BIUExgSSBMIEqwSqBOAEyAQEBfwEIgU5BSoFPgUiBRkFKQUCBSkFBAUnBSQFDQUnBRIFPwVCBUYFMwUTBRUFDgUbBRcFGwULBfgE7ATxBN4E+gTWBMsE1gS8BPgE1QTbBMQEswSyBKkE0gTEBOIE8ATxBDQFUQViBY8FQwVEBT0FBQU+BRoFNQU/BSYFPQULBTIFAAUQBf4E4ATkBLgEqwR/BGwEMwQ7BN8D8wOPA2ADBQOtArQCaQKGAkACRwLLAZMB+QC4AI4AUwBVANz/xv9z/2z/QP8J/7L+ZP4N/g3+p/2q/Wf99fwO/Vz8sPxl/G38Tvzf+6z7Nvst+w379/rU+pj6ZPp9+g76FfrF+a75rvmF+Vn5Gvkl+f34CPnu+J34kvio+Cz4kfgk+Dz4b/gu+ID4Xfi5+I74r/hk+JD4mvjI+AP51PgN+e74UPlO+b356vkc+mv6WPq3+rb6Bvs5+3P7tvvp+wj8RvxK/LH83Pxd/Z79+P1i/nH+8f7o/kj/c/+r/wEAOwCXAM8AIgE8AXkBowH5ATsCkgK3AscC+gLxAjoDYwOMA94D6gNEBD0ESwRXBEEEjQSJBKsE8QS4BC0FuwQoBf0EFQUlBQAFNQUCBRQFKAUTBfYEIgXUBGMFrAQUBbAEtQQHBbcEDwWDBNkEagTABKsEpASSBHgEUwRhBIwEPATMBOYDqgQcBGYEYgTnA7QErwOGBNIDKgQ8BL0DIgRnA9wDjwOvA7YDXQNbA0ADMgNOAwUDtwLxAmMCqgI0An4CiQIKAjACFwGuATwBHgFLAeYA5wDHAE8AagCVACgAcwDE/4X/qP/8/jb/z/6n/s/+Yf66/mr+uv5A/t792v07/RL+Iv1t/Sf9tvwd/aj8mPyl/D38O/xX/Or7fPzu+xX8q/uL+1z7tPtz+3b7Yvv9+lb7BPsn+/76c/sV+1X76/r1+lT76foW+wj7A/tr+y37TPtW+0z7avtU+5z7e/vw+6v7Dvwc/Pr7UfxX/Gj8dvyc/If8+PwD/Rv9jv12/cH96f3R/VT+X/5//kH+av6Y/tn+MP9I/4v/1P/K/wIAVQAYAKIAOgCDAOwA9ABVAWABcwFsAccB0gHBAd0B9gFTAmMCigK5AtEC5wLtAtUC2AI1A2sDRgNhAyQDMAP5A0gDDgTaA8cDbwQMAxAEOAP7A9cDsgNdBNwDWwWCA3AEiAN3A2cEBANdBGgD/gMzBIgDcQRAA1QEPgOSA4MDGwOzA2EDhgOiA1EDVQN0A2ICKAOrAtQCmAIjA88CLwORAiYCHgInAhQCGQKwAZcBQAJVAdIB2wH1AHsBEgGbAOsAdAA/AJsALQAsAFsAEwAIAM//V/+3/2D/Gf8n//T+Cv/L/u/+Wv6g/o3+AP4x/t79+v0g/r79+P1u/W79mv1x/S79bv0S/Vv95Pze/Of8Sfwm/Qr8B/0B/bn8Wv2/++H8avyO/Hr8Ffy6/DH8P/0J/Ez8Svz++6v8Y/xq/Az9a/zU/Mv8ivz9/En8lvxw/On87PwS/X39yPzF/Rv9KP28/ef8zf2v/XH9+P0A/t397P0K/tT9y/53/un+of+9/gv/8v5g/hj/7f6S/zD/v/8tANf/0gCu/+AAav+cAOgAKAB1AV4AwwA7ACIBsgArAeMBNQESAosBxAFyAcwBkwF4AaoBKwH8Ao4BngJWAuABmALXAdICXQI0AkICiQGDAm4CiwJ1AxoCowKqAqsChQKXAr4C3gEuA/sBcAINA6ECYgKSAhQCAwNcAjwCFANbAQgD9wECAygCaAOlAU4CzAEJAi4COAJRAr0B4AGjAZMChgFcAioBxwGYAZABDwK/AZUAsQHMADoBIwEQAVgBOwAbAe//SwEAAHEBTgBxAEUAJQASAKT/1f9j//z/Cf+W/z3/cgCz/lD/uP1r/3b+EP9s/1b+c/8u/nv+E/7x/kH9KP9P/cv+L/4Z/i/+rfxn/kf91/3y/Z/9I/4U/qD9jP32/TL96P1v/Wv9wv1N/aL9Nv0e/sb9QP3e/Yj9Kv46/hD+tf2t/YL9zv3r/RX9A/+l/RP+8f7E/QP/gv5p/qv96P5N/uf+M//k/v7+QP8L/yX+RADf/TIAT/7Q/8P/ov9YAL7+AgBR/3wA9f/zABAAkAC1/1MAq//8//sArQDaAN8ANAFqAdgA9gDkAGsASAIGAKABCQGQAacBqgCiAlwBZAGuAVkBZQErAc0BVwG8AoMC5QFKAbsBRAK4AfkB8ACeAu0ADQInAYsB8AJoAn8CkgLLAXYBLwIIATMBVwEmAoICwgESAg0BQwJtAeoBjAHlAV8BxQHVAIcBtAFwAe0ACgFgAT8BsQEtAIUBXgBhAgIAlAFhAPoAlgH9/0UBYv83ARsAUwDk/zwAAADHAHAA8QCjAFUAov9a/5j+OgDN/y7/ZQCo/gsAhACs/23/9P71/0T/4P4M/+j+Q/9c/mf/1f8J/+z/Jv5v/z3+8P63/QL/7P5+/T7/uP5S/6v9uP4n/kr/d/4C/nv9wv2F/Zr9jf+t/SH/Ef5Y/rv+Zf4V/kz9xf21/fr9A/7v/sz+Af46/hz+Vv85/lL+Zf4c/ff+//0i/gv/Fv+w/lb+cv6z/j//4v7y/uv+hf5u/2v+FP+k/nr+vf+6/n8AGf+Y//H/Jf+M/7r+uv/B//n/fgCg/4//1QBW/1MByf+//78APP+hAFYAqQDHAMQCXP7tAIwACQA9Auf/KgF5ACwBRgHcAXkB6P9sAFYA3QHQAL0BxAHYAu8AMgFOArYB/AEBABoAdQHSAUsBVALCATcDkwF+AXEBQgHjAY8AywAQAaIAfgLTAT4CYQFKAJcCDgHcAMn/oAFZAQEBRgETAX8CKgHDAGb/WABKAQ0BmQGgAD8B4AAJAVMBjwBZAD4AaABIAHoAdv8wAQ8BTAANAWj/3gCGAbH/Y/8L/7QAWgByANb+Kv/lAer/u/8C//n/0AAA/2b/Jf9R////xv8+/8j+Ev/J/sr/4f8ZADz//P9//mj+X//a/Yv/xv23/bn/lv/i/8T/ev5C/g7+h/47/rb/p/04/vr+Ov5E/4D+hv6A/nD9Iv3R/lH/KP9r/lj+cv4R/qz+Wv3i/i792P66/gL/WP9F/U3/cP13/az+CP/l/n3/J/9H/uD+nP0C/27+nv5J/wj/4/9K/5n/WP6B/xD+OP16/2f/FgAnADcA6P/B//D/KP9m/pr+H/56/wwBFQD+AOH/+f/oALn/7f/p/hwAUgC2/3z/XACVAugA8ABPAEUAmP9PAAQBEgC3AGABzwKAARoBywC7AEoBBQL+AJcAKgElAQoCrwCeAUYBfwFZAvABkQL/AIkAWwAjAacACQENAnMBSgLOAX0BlgFUAZEA7gD3AO4ABQHuAb0CwwEKAbEAbQE2AWsBkQGJAAcCXAFlAewBQwE9AbL/DgGfAYkCDAKoAMkAKwC/AKQBswGOAPsAlwB2ATkCeQACAc0A/ACsAEoARwCJABUBJQEdAWsA9gHFARwB2v4A/1L/SgD3AWQAVwG0AAwA7/++//T/DAD+/z8A2gDE/1z/nP6T/jAANQHfAAgACQA//4//8f4D/ln/0AANAdr/s/5c/ib/fv85/5f+g/65/14AIQCH/mf9Mv77/t7+Lf5f/o3+2v5n/s/9y/3b/Xf+c/63/a39Of52/pv91fzT/GP9O/7S/X79w/3L/Vj+u/0l/SX9xPwT/YP9xf5w/m79Qf3o/H392/3t/ST+3/1k/uv99/wp/Y/9eP65/pP+lP6H/oz+sf3O/C/9Qf7D/xT/rP6G/kP+l/5d/nf+X/7r/ov/pP8b/z7+df5X/zYApf+O/0v/ov/S/wgA4v9HABsAyv+JAFMAnABEABgAz/9uAKkB2QERAicBqwCIATwBcgHKAPcAPgEBAoMCxQIGA8oCOwJDAQEBVwFPAsIClQOTA8wDRgNSAp8B/gCGAcsCcQS6BFwE0gIBAqwBTgJLA8wD5AMjA0EDwQLOAs4CGgNWA4oDQwPwAgcDRwIfArcBHwO+A9YDKAPjAaYBNQHfAWUCFgM/A+UCFwJWAfEARQEWAnQCaQJTAeoBawJeApIBIwCCAG8BnAIHAvsApQCdAKAB/QEmAXsAWgCfACIBjwBNANIA0wBeAIr/WP8kAGsA+v8u/8v+NP///hL/6v7E/vL+Fv4x/ub9Uv1p/R79Pf0d/cf8yfxJ/Ob7XPsW+3L7mPu5+zb7Z/rz+dX5xfny+af53PnM+Uj5MvmZ+I/4lfiB+Er4Sfi7+Bj5yPjv93336vfg+C757Pho+FP4+fht+ZL5hvlW+bX5Dfpf+oH6zPpW+1X7cPtf+/H7x/wp/S795vwU/br9hf7u/uL+yv4P/7H/dQCsAFwAdQALAR0CsQLHAoQCTgLDAlkDIgSNBJsEqATSBCgFLAUrBRkFmQUjBocGoQZwBqQGnAaQBhIGHQaUBnUHJAjyBxsH4AW9Bf4FOAeeB1YH6gY5BmYG+gUYBgcGDgZtBlEGMgaFBS4F8wQrBWAFiAWvBYsFMgVoBDYEKAT4BD8FBQVQBGADkQPOA2IEFgSqAzsDQwObA2UDKQOXAqICoQLUArgCfAIJAqYBsAGTAckBfAFXAeAAkACAAE4AmgBLAO7/mv9d/0n/MP/4/uL+9f6U/kX+4P3h/RP+Df6y/ST9+vwO/Sj95fyi/Fr8Z/xh/AX8Cfyw+1f7Qfv4+i/7RPu2+nX67vm++br5d/lQ+Rj52PiY+FL4Hfjt97n3affs9gX36fYh9/H2SPYb9rv1HPYb9j/2DPYe9vz18PU09gv2qvaA9vT29/Yo93T3bPcW+Bz4vPjK+Fn52fkQ+mD6Yvo8+9/7zPzG/L38Rv3p/QX/Qv+D/+7/rwB3AcMB8wFsAjAD2AMmBEME0QR9BRYGSgZbBtAGPgfHB/UHMQipCN0IHAkMCUkJngnrCQkK6AnzCQ4KRwo0ChkKBgoLCjwKCAraCYwJhwmKCW8JRwnvCMAIYggvCO8H2wfVB44HTAe1BlYGBgbeBdUFlQVSBe8EpQRhBD0E1wOcA3sDXgNYA+cCtwJ7ApMCmAJgAhwCxAHwAQcCLgICAvQB9gEnAv8BxAF/AaIBEwIjAoYC8gHcAZABaAHkARkCOQLuAWcBIQElAQ8BEAGKAD0AAQDl/wEAlf8s/3j+R/5I/mf+6P1t/e783fwa/YL8YfyE+4P7bPs5+2z75frs+lH6C/rj+dP5HfrP+V75/fjb+Bn5RPmk+Gj44fcd+IL4MvgV+FD3OPc+9zb3Mvf59q32a/ZH9nf2vfag9nH2tfXn9Uv2ufb19lf2NPZx9vL2f/dq90/3i/cY+LD49vjz+FL53Pl2+vv6MPvI+zH8xPxE/c/9f/4N/2z/t/9XAOoA5gEqAq0C4gI8AywEegRrBXUF5gU0BpUGFQeIB8YHIAiKCI8IQgn1CJQJbgnJCTsK/gmdChMKeApfCnIK0wqJCpsKTAolCiAKBwrrCc4JeglACQIJoAinCFoIHwjlBy4HIgenBpAGSwasBYgF6QQDBYwETATBA0wDSQPgAugCUAIZAtIBjwGPAVMBIwH8AKgAkgCfAHYAiAA2ACsASgA9AFAAIAD+/ycARgCAAJ4AYQBfAC4AXQCFAK8AzQCAAHwAVwCKAJ8AdQBYACUAIwAfACwAFgDY/4v/Iv/+/uT+3v7R/lv+S/7R/bX9Pf3r/M38nvzL/A/81vsO+0T7JPvd+qL6p/nr+aD58Pmr+Vj51Pii+Fb4d/h/+Af4Svhs9+r3aPd192D3wfb09oD2Dveu9rj2KvaG9n72afZF9nL1SPYg9un2i/Y49hX2y/WE9p/2GPcm9wb3Pvdm9+/3UviI+K742PhQ+ej5yvr8+nT7ZPvi+4b8H/3q/TD+1/4Q/9D/KgCoAPkAigEwAswCawOWA1MEawRHBYAF6wV+BpUGOweAB/wHcAifCNAIIAkhCZ8JuwkpCmcKaAqsClgKrgp7Cq0Kugq0CroKjwp5CkoKSArZCeQJVQlfCTcJ4Qi9CBUIJwi9B48H3gZoBlkGHQYeBl0FCAWaBEYE/QOlA6cDUQPKAnwCPwJ5Ai8CkAFQATMBegGDASMB9QDQAKcA0wChAN0A4QCjAKAAhgCOAK0AnQDHANcAkQCPAHsA+wAaAcMAbQBWAKsAywBPADQAOwBXAEwAWP9z/2f/mf9S/7b+n/5t/lT+6/3o/Xf9a/3A/J78uvyJ/FT8dfsW+/76DfsP+8D6N/rV+Xv5afmS+Vv5APmy+Ev4ifiP+EX4Gfi/96f33veD9zn37vYo97j3Z/fQ9vP11PV89gv36vaV9rT1qvXL9Vn2xvZT9iL2UfWS9Qr28PYX97n26vXq9Zn2EPcQ+LP3Z/j49yf41fiv+U76Lvox+sX6ivz4/Fv90vy6/bX+h/8KACEA+gByAUMC1QKEA9kD4QN0BEgFIgaEBqoGMAefBykIGwhYCAwJlgnkCfcJJwqTCqUKfwrOCiMLlgt/C/wKMQtLC6MLoQshCwULuAqcCrAKhgq/CicKfwkQCYUIxghnCD4IxQdAB9cGKAb0BbQFdQX+BGME5QPNA6QDewPtAkoCDQLKAeoB0gGYAXABEQH0AM8AtADIALsA3gDtANIAuwC2AOQAEAETAQYBIAFXAaABlwFCAR8BRAHKAR8CwwFhARwBWQHWAb4BmAFiARIB5gCpAHMAxADYAIMADgDk/g7//f5F/0b/Hf66/RD9Mf02/f38Yfwl/HH7R/vl+p/64PoP+vL5Q/ly+Vr56vhs+Dn4Y/hP+Cz4z/fQ93j3jvdE93D3wPct90D3t/aB93j33vbO9nb2g/ey9zb30faH9sz2y/dF98j3mfaU9m33P/cQ+cj3ePcN9w331PjL+Cj5MPmz+ET5A/ni+ej6E/st++z6ufs6/W/9qP1s/Y39R/91/8YA6wB9ATQCuAH1AmcDYwTgBBkFxAWSBucGKAcrB4wHbAi+CIIJawlyCdYJ1gmbCoUKtgqxCrMKTwsxC/gKCgtcCz8LXwuoCtgKEwu7CtkKSQqiCmkK0wlMCQEJTQlrCbUI+QemB2kHpAfwBq0G5wVEBRoFiwTOBE0E9AOEA60COALZAUkC+QGHAQcBtADUAOUAZQAwACQA6/8dANP/bgCTAF8AZAArAIAA0gDQADABWgFbAXkBegEjAtcB6gHoAQICtQJMAngCKwJuAskCagIiArkBkwGrAbcBlgGbAdwAcADQ/4b/gv82/yL/bv7j/T393Pzv/MH8EPwa+0b6CvqT+oj6HfoN+S/4b/gl+PT38/da90f3IPef9u721Pac9lj25fX+9XT2jvZy9gL2YvX49V/2vPZ69rf1jPX99bX27/aG9hv2ofW39W/2zvYb97T2jvXd9Qz2IPfY9972yfZo9uP2BPij9zz4y/gI+en5QPli+cb6LvvA/OP8ffxX/jb+sf8EAIAAFgJDAskCWwNBBBcFkQZzBsMHeAceCA8JhAn4ClMKUAtsC1EMtgxzDMIMwgwwDaAN0Q0MDvENhQ1KDfQMVg0jDQkNrgwxDA0MaQtmC80KRgqRCfgIvAiJCFEIewcRBwYGXwW7BFUEYAQHBOADAAM/AmEBHwEQAf4AtQBeADgAov/L/0T/mv+M/zj/jf/i/rb/FQCdABQBjQAAAKT/SwDzAQADXAOxAoABcALfAssDVAQ3BM0EsgStBJoEhwSxBN0ExASIBMIEUwQbBM8DQgPLAnsCPwKGAYoBcwAXAJz/Jv9Q/uv8Ovzh+wr8Avtv+gf5cPgW+DH3wfaM9nX2t/Ut9UL0FfS284Tz2vON81bzMPPv8lrzC/NW8mTytPLH8z70M/Ta8znzuPIh81n0M/Xf9cn0FPS285r0Efa99Qj2O/QS9Y71ZvWy9k/11vap9mT2Qfdf9gb2oPb79nr56fqj+YP52/aO+ef6D/x2/sz8X/5O/lT/lgGOAekCwwJdA1EGPge4CJ0JPwnkCvQKLQxUDbQNjw/bD30QLhElERARORFMEWES1BJJE4YSDhI3Eg4SWRLeEHwQag+1DxoQVQ8TDywNdwwSC2oKlgqICT4J/AfNBlsGQAVnBFsDUAIyAmEBEgG2ANT/iP8F/2P+qP0S/RP9L/2G/Rf+Yv1//bb8Vvzm/Gz9k/57/pT+uP4Z/9v/+gAhATIBTwFGAakCjAOyBJAElwT3BMUEiwVtBekFSwY8BpQGNAZaBtYFMQWjBLUDqgM3AyEDAgOPAbYA+/7w/cr9q/yq/Pz7vPqT+d/3E/fW9gP2bfUI9BHzVfNY8rLyK/LX8FPwH++L7wrwJvCB8HDwevBa8LDvN++a7zjwl/Gn8qrzMvOG8gvyfPIe9KT0APZn9eT1tvXU9Vn38vba9yT38/ZN94H3ePdV+Fn4uPj9+OL3j/hF94j4S/kG+kr7GPqu++76dfzm/J/8Rv7m/dP/OQHkAnMEjQRcBNUG1gYWCgkLmAsrDzsPGBM+ExoT9BISEl0UCxf3GNIZDRmzFw0Y3xYHGG8XxRaFFuMUJBbRFCQUdhEdD1UOhQ0QDSIMNAosCDIH8wTLBMIC3QA6AEH+hf6Z/av8zfvv+g/6OPlm+c33svh8+L75GfvK+vn6a/n3+RX7AP3+/iwAWgCuAHkAEAINA6oDeAWxBOAG1gc/CHoJmAh7CT0JXQn9CV4JIAovCkMKcQo+CS4IgAZCBakFQQUpBZAEcAL3ADL/4/1c/Rz8RvvK+bD4yff/9TX1h/Mo857yZ/Iw8hLxi/Br76XvDvDP8GLwC/BN7yvvv++W8FDxvfHI8UvxkPKZ8oTzu/N78yb0gfPh83705vSf9dn1TPXH9TP0RPN18jPz/PQk9ZT1V/Tz8iDyLvFM8ZDxPfEG8bnwwfFN8eLxxfAa8Lzvse8g8UPyZvQ09HL1vvXK9jz4bPlo+278Ov96AAcDXAVIBrgItgn/C5cN6Q6uEQIUtBW+GD4Z6xoZHdscFR+yHZEeuB4cHb4hBSDlH/se/xdbF2cTGBKiFDYSUxTQEA0MUQqpA60B4P5J/kwAl/8sALj9Xvky94nzo/N69Xf29/cK+GX4yviy+J34lfkH+Zj7VP25AIEDFwTqBXQFzAb2BpoIrQraDJcOww/eEH0QgBDBDrgPmw8eELUP5A4xD+wM5wwuC90JdQjfBX0EPwRgBKQDMwJs/7f9DfsN+aX4lfd59wz3zPZR9hr1HPMF8Tbwe/Aw8QLy1/LY8ozytvKc8iDzdPOZ8z30jvRf9Sv2BfdA+Ib5LPo5+hH5i/es9h/3bfjN+ej6jvrI+R/4UPb79JX0U/S69Mb0f/S28yfyCPFp733u9u2X7XjtSu5N7qvuNe707FPsverX6n/rB+1t76bwSPEB8dPvVu9A71Hw9/Ns9jv6nvsT/OP7zfos/Av+IAFuBJ8GyQdZCn0KvAzyDHIOFhDQEPMT2xQ2FgIXkhcoGRAbYRxaHSceYB5kHzwePiByHqsbSRkTFuAUAhQnEkwRExFGDgQPLQeTBpn/TPsJ/ML77gD2/ooAbvq19wb0Y/FK86T23PqY/Wz/kf+F/XP8a/xa/doCYwTmCC8KXQxYDv4NLxB+DpUN1w3VDiQSzhPQE7gSSxEREPIN+gvYCZcG8AXbBEUFlQTFAO78hPjP9qX1e/UY9Rv0pPMN85DzgPMt8pPw+O6n7/zx8/Qv9zL53/m2+UD7vPtB/Sb+fP6JALUB5gQEBTAF7gRWA3QETwQ2BE0D/AA+APn/IwDFAEf+b/tQ93Xzt/E68BXwRfDC78jwHO8V7tPrY+g555vmmegw607tc+5v7oPukO6a7ertAe747rPxKvQP92T4Jfg999f1v/aj9qj3lvjR+KT5Bvp0+j/65vh19pX0IvOS88jzZ/XZ9mD4NPkN+SH4Vvbx9CP1M/fs+g//QAI5BAIGQQYqBjgHpQd4CroNXxEtFcEXlBrJGw0dMx8DHyUhHCJmIsMj3SOtIugftxvPF0sUuBLvEhERcRFWDi8KTwWXAMX8SvoI/K79lP4u/7j7ovhe95T2cviQ+oH/sv5CA0kDsQR/B5IHJwtjCqYPJw9BEVoSKxEEFEAUcBYDFgcUThJ+Dk8Nrwx6C6oKSAc3Bs8DLwIJAHj7kfhY9QD0hfOj9Lbz+/JS8X7wGvG88RDzXvNV9W72C/he+lL8Af8WAUoC7gM1BMIEsQT4BP4GrwjeCgkLpQq3CI4GvgSBAvYAe/8D/l79jvzu+5H6NvjZ9XzzyPE18Kru9O1o7Z7t3e1N7U/twOsG6wbrDOyd7p3wXPP89P/2i/j5+Hj5hPkQ+Wr5hPls+jL8wPyG/eD7nPq192n1e/QW817zufIV8hHxVu/j7eXsyezc7OTrAezW65fslO0m7rvvDfF/8x32ZvhP+tb6mvqC+2D95gAhBIUHoAkqCgALHAp2Cp4KFgtGDNMNRhFIE7wVkhbWFXYVMxVpFjYYcRsgHaEech23HDYaaBiSFeoR/Q4HC/AIewcJBzYJowgiB18FywDD/2D6LPqM97z6uP78AWYHIAgjCUsHEQe8B1kLxwz3DigO4RCXEyMW1hgOGLoYBxYGFZkUSxKFELQMhAnlB78HPAgEB14FNgOn/jf8wfg29pT08vJk84Hzl/XK9Jb0KvQa9Iz1L/a191z4Afoj/Hf+XgHfAj4EtgRRBWAGGwYUBV8DSwLqAa8C5AJAArQAeP4h/Er6PfnC99P2K/YU9vX2UfdP94L2/PXJ9T/2ffe59wv4LfcJ97/3+PhD+gP6Ufpb+aL5hflW+eD58Pk7+9z7zfxi/CL7GvnP9iz1F/SC80zzoPJu8RLwQO687Nzqw+nt6Pbohenq6Qfqa+rx6uvrDe1G7R7uyO5A8BbyHvQC9sn33/hZ+fb5kPud/CD+Jf+S/qf90vxI+yX7Sfvm+6/8tP0m/hX9cfxH/Mz8i/6pAVcElQhQCnINmA1gEG8SzxSKGVAdPyHlIyYk2yASHwUbEhnbE8wRFQ5NDDsNOgtpDo0MswquBPr/YvyJ+V/5ivgg/P7/aQM9BV0G+gilCSgMyAyqDscO7A29DR4PrRLXFU4YpRkLGZcXlRRQEUEO7gowB04F6wSwBbEFJASzAeb+c/w5+Tf3EPZA9d/1mPYP+Ev6dfzW/dL+twA1Ae4BCwK1AZ8CNQNVBFwFrwcPCcYJCQozCAUGqwHO/eb67PlR+fr4zvgE+cX5nPm7+b74Lfh+9nn2ePY799T3xvjF+pP9KAEAA/8DFARYA4gBXACU/hb+nPwG+5z5AfkK+qn5sPrW+VP5rPeS9B/ydu8S7untMu/m8F/yzPJS8ubx//H28Dvv9u2S7Bfs4usZ7L7s0e3F7szvv/D08aPxh/AO70PuqO757xfy9vJq82zz7fIN9A/1LPYx9/X3gfih+Pf3OfcI90X3pfjk+bP71vvY+l/5I/hn+Z35gPus/Fb+mwDkASsEGQbaCZoMwhGCFQEbcB93IsMjfCRQI/AedRoUET4MeQcCB8UHNgvRDaYOygxzCGICp/y1+Z72EvrC+nr+WP8AA4MH4gpyD5oPoRDmDYMMkQrPCkMN6A57ERwUIherGP0XFBVjEBsNdgrZBxAGFAT5AgYCzAJsA1AF0AVpBJ0CLgAq/7b9Dv2n/An9ov5DALcCLAWhBiEI3we9B3gHoQYRBnAFMAZuBjMHLwfgBvgFIgR4AVL/Z/zZ+Gv2ufNL9Fj0pfb++Hr7pv27/Vn+JP13/Kj7jPvq+8X8qf4xAZsEDQdUCgQL5wv2CSkGrwLv/JX4ovVg9BL1Svay9+/4YPnl+RD5Kvkx+Jr2Y/TC8j/yo/It89Dzh/Vd9kv45Pew91n2G/SO8bfuIO316cfoUecn6Dzq5+uj7cDu8vDX8LXxy/CF8GLww+8N8OrwrfOm9Uz4yPlK+2f8Hfy6+zj6Efke9971/fPr8w70lPMM9HLz5PPw8z71PPWI91j57Pss/3kCbQaYCQ4QOhUsHZ8iiCa+Jx4m3CBRGEMRKAqRB+MF3QakCLUJkwglBUADbgIMA9AC6QD5/mr8efu++wf/OgQ2Cd4N0hCTFBsV9RTVEj8RKxA3D+MOsQ3fDdUMAA3sDZQPCBFhECYOmwreBqsDTgE7ALX/0P/r/4UA3AFAA3IFTQfVCFMJxggmBxUFgwKEACwAUwGPAw8GewhfCt0LzwynDDoMfgq2B3cE6wAA/h/7GvmB92/39/fG+Bv6C/vd+8r7gfuv+m/6tPkr+YD5Zfoz/F3+wwA3A/AF/Ad/CScLhAsMCw0J9gWRAiX/9Pvu+EX3y/Vo9Zn1s/aG+FD6gftG+9f6e/nu9/n1mfQk9Cz0m/QK9Zn2sfis+qD7EfsV+vj3zfSl8IPsbemW58jmmea15yPqKOwc7qjvUfFo8vPxbPCL7hzuNO077uDvD/Pg9hz5lPv7+zj+wfyw/Ef7qfni+OD1Z/Rx8evwo+5i7nDubO5t7/jvSfJu9Rr6jv3tABcDOAUqCoES0BunIbwikR/hHAsb5hgxFggTlQ9MC6YGwAI1AukChgOZA1AFvgaVB5oF4QHGAPYANANQBGcGjgeXCbYLaw0HEekSbRSXEwESlw8jDT8L5wg9CAMI8QgMCukKJAvYCkwLagt+C98KDwmFBtsDswE5AWICVQTQBSUH+Qd3CG4IOweZBSMECAOPAQ0BfQE4A5UFmQfACf4LnQ0LDZgLVglaB+gEEwEl/QX6gvgm99n2IveA+FD6Ofui+w/8pvyo/On7ovq3+fP52/os/In+BgFfBE4HwAm4C88Mtwx7CucG7AGV/bL51/Y49cP0Bfax9/j54/uS/a3+DP+4/ub93fxy+5v5p/eb9rb2x/dK+db60PvP+8L6GflM98X0ofJW7wPtN+oa6N/m9ubD6J7qne0y7uPvk+8f77Lu3u5/8EnxbfNG8wX1OvZu95j5o/uH/TH9Zvz9+Rj5m/l99xL0Ee4Q52ji5N824Iri3+bO6vfusPOS+Pv/6gYtDeUQFxPpEwcT7hFGEJsQRRLOEykUZBONEpwRRxDGDrQNygyrCloH3QOtAf0AogC6AJ4BNwOXBAwF/QWyByIKAQwjDaYNng3qDPYLBgwLDXAOGQ8CD58Olg75DlgPOQ9sDpsMgAqhCNwGvwWCBaIFLAY3Br4FsQXpBQwGkAb2BiIHnAZJBccDrgOLBIkFoQYtB9EHMwgGCcIJTgsnDJgLrQpECcwHywWmAo//YP3L+6D6oPkY+QP5gvmi+Qv6Nfr/+af5ifkP+qb6+PsC/XH+NQDSAV4EHgfgCGcJUQlyCB0H7QQJAh8A4v7F/Zj8ivtr+5v7NvzJ/F79Df6U/Xz8bPuh+jz6VfnS+B340Pft9x/40fg++UT6Wfru+h37dPkM+BT1hPJQ8JjtM+uj6IvnweXl5p7ooepv7Wruuu+E8QrzjPPJ8wv1yfNY84jx2PBY9UD4C/zr/Pz8fPnj9mPzYPC18FPr7+as4Mjdh95P4p/nwO2o9bz6pAFxBuoLDRAnEUUS2BDmD48MNQprB1MHZQitCZgMqw1CDiYOQg9sEIwRDRCTDIQJAgZ+AykCvwEHArkCaAPeBDsIEQtiDasPUBH3EtYSFRGkDhwNbAt3CgEK5AjoBxkH7QZrCA8LywyODmcPvQ+4DxcPrg19DOMKewjFBvQEyQPpAsYCUgQVBxcJ1AlOCp4JawmACOEHiwdqBjcFswNEA3MDaAQKBZMFSQZbBncGegU6BL4CEQFr/xv9n/oe+LX2dvYG99j3y/h4+aT6WPyI/v8AGgPlA0sE1gOmA7kDTAMxArgAxP+I/8v/2v+EALsB6gLEBCEFMwa+BfcEAAPQAN3+N/0j+zH4ePa29L30g/RO9bv21fjx+mb8K/18/ZP9efxB+9r40fW78qju6evo6cnopehB6MXn5egb61jup/AP8mHxzvAn8HDvb/BB8ib1XPXR9hf4ZPko/G/7h/p1+LT1bPA/7SLpA+XG4kDftt4v4OHjQ+jG7sD0R/vPAfIGRAtoDsEP5A+yD2IOkwzZCX4HFgY3BuoGyQi+CkQMPQ55DwgR3xH6ECYPYgw3CTUGsAO/AOf+zf2s/ZX/EQIkBWkIgwt8DnMRkxOoFJYUmROdEUMP/gzACkEJGAgECOYIfgp+DGIOVBAnEqMTpBM8EtoP9QxyCrEH+ATJAvUAMwCD/0cAbQLmBCwHbgiaCv8LGQ2TDAEMpguQCgkJ4gayBVEEOAPqAREB0wDM/9/+Dv6R/Sr9NfyV+yT77/oM+tr58fmK+n37z/yT/+oBigMMBJcEkgXPBUUF1AR9BK4D6AEeACwAWAHFAbQBcwG4AbEBGQBY/wr/+P5E/S77pfmM+RX5zPh3+QX6RfvS+pr7S/zR/Bf9gPw+/Av7JPgl9LnxGfBD71zuPOz16n7pjejN6eDsoO+f713u6+xF7hzw/fHb85j1zfU79Qb2Svff+fr4hPcx9azz1vD07V7r7+j453HkFuPX4SnjdOWb6MftyvJp90b65f1fAhYH0An9CoUKXAn2B74GeQe+B4IHygbhBukIgQuNDU0PqRDnEKgQ/Q73DJkKrgfEBAIClf9x/WT8y/zK/lsBqwRVByQKHg2qD4AShRRPFW0UxhLJEEkPFg7fDCYMBwsVC0ELcwyFDgIQexHMEdIRQhHTEHYPww1jC1IIBQZ2A68BSACu/+n/4ACBApgEdgcQCn4MtQ5DEPMQVxCoDjUMtAmQBgEDgADz/fD7wvoU+p36Gvw9/Rn+b/+d/y0A0ACbAIsAif8U/gT94/xY/JD86Pw9/RX+Hf9LADUCSARtBZwGUge1BxMI+QfmBugFFATGAcH/kv3B+yv6CfnM99X3o/iG+Rf7ivzt/eT/zwDHAJwAyf8U//P95/sv+aj1NvKG8Ovv5+8j7zHt3utJ6ynsMu6779bvRO6B7HftQPAq87f0FPSs87bzBvWO97T51fnL96r0X/IR8vjwk+5I68/ncuXQ4z/jzeMR5V7m9eez6tnuMfM/99H6K/63ARoENAUJBqQGBAdTB0sHCAcoB9QGxgchCQELcQzHDMoMiQwxDKkLqwrvCKgGswMjATv/Vv4B/qj9/f3N/mMAngJABXcIBAx4DogQ0hGjEtwTCxO4EloRWRC4DjgNRQyeDP0M8wy+Df4Nfg+mDxgQ4BAbEeoQrw7wDB0L2wjnBk4EnwI+AWsAmv85Ac0CfARfBgQH+wjVCekKwAp6CkUJMAd+BaYD0wGEANz+M/09/bb8VP1b/uH+pAAiAiQDXQQzBdgFpwXkBEgECQNuAaT/Hf2s/Nb7wfpL++P6XfzU/Vr/AwJEBPgFlQY7BwUHJActBaMDDQHe/g79vPqW+nr5zPnQ+eH61fvM/R3/YgArAgYCrAIVAW8Aaf6H/TP7FvlH9h3ztfCz7sPtvOwQ7J7qB+pj6u3rF+7d72vxkPIi9H71OvfP+Oj4nPi99pD1/fOr8kTw6e386nTohua45Jnk8uOD5LzkM+YN6I3qG+2V73/y4fSA9zz5ivvW/FP+R/9dAKoBqgKjA3oE3AUxBx0JTwqLC2UMdwx9DJ4MWAyOCx4KqAesBbkD7QG7AGT/X/5a/TT91P0z/5EBdwNgBVcHcQlwC8AN2A7FD3MQCRDcDzIPrA4ODmwN3wzuDC0NxA30DdYO9A/BEJ8RhBE9EeAQAxDVDrAN3wsHCuAHSwYnBZ0EOQTTA20DDgShBEoFbwZSBgIHpwYxBrYFUQV9BDcDRALhAMUATgBjALoAqQGoAmIDYAVABswHWAj3B/0HkAd6BuUEiQPmAE7/9Pwl+0z6YfkQ+eX4Mvpg+3f9eP8yAUgD4AS4BU8GvwYaBoQFGQQkAjABsP+Y/gr+Wv2S/Yn9BP6i/vT/CgGAAesBywEhAqQBZAEKAOf+w/zt+Rr4Z/VJ9MTxXO+J7WrsQew+7DXtmO0L75Lvx/Dl8q30I/Yy9j32yvXP9fT0kvM38tDvjO0m6zLpKugX56vl2OSY5GTlOeaT5z/pHeta7fLuL/Gx8/T10Pd1+bf67PxO/pT/PAFjAjsEFwVTBtoHHQm8CUMKSgrBCgIL0QlKCewHzwZLBckDvAJ1AYIAzP5I/qf+LP/5/8UAvgEgAwEFegbpCNsKJQxTDcwN9A7vD6MQphCNEF4Q6A+oD5oPjA+0D0YPuA7uDt4OUw9JD0kPPg/tDmAO0A1zDdoMLAyrCqoJZAg9BzEGEAU6BBMD+gEBAZMAcgBjAFUAiQDGAJ0BgQK8AzkFQQZMB1wIdwlWCj0LNAsjC5AKjQlzCCMHvwW/Ax4CCADF/o79e/wI/Hj7oPvQ+5z8Pv2c/j//JADCABUBxgGnAQsCagGZAcEAcgCUADgAIAESAXYB4wG6AkIDmgSbBQEGrQb3Bd4FtgWeBaQE3QMOAiUAlf6i/Kn7KPqS+Ab2rfQ48+3yV/PN8i/znvLh8kvzxfSz9UT2CPbE9O/0f/Rl9JvzKvJJ8Hbuuexb6wzruemU6EPnjuZS5wHoyehS6T3qyeq36xDtl+518GXxIvJE8wz1m/aB+BX6cvtM/XP+7v/MAYIDrwR3BcMFGQaQBmMG7gVdBVYEDAPGAYQAw/8i//P9Ff28/Kv8LP3O/aD+AwA+AXUC/wPeBYgH7QjdCYsKoAs4DLQM+gw1DSgN+wyiDIQMrwxSDD8MHgxFDG8MkQyhDA0Niw2GDZwNbA1NDSYNrwzoC1ILOArNCJkHJAYWBd0DUQL2AAgAgf9B/23/of85AAUB8gFxA00F5QY5CHQJXgqtC4YM3wwHDWcMrwuECmIJLQjABj0FWAMLAgoBMwCt/yn/DP8q/0j/yP9sAPoAjQHeAU4CzALzAiIDIANFA0EDMgMnAyoDgAOoAw4EjwQnBZ8FQgauBl0H9gfZBxEI1QeLBzwHaAaKBXIEPwOoAV8A+/5n/Rv8bfo3+W/4jPfV9lf2/PXV9Qb26/UV9gb2nfUl9bn0QPRy83ry5vCm73XuPu037AfrFer76G3oEOhm6PXoKum36TzqUuuC7JDtce4r793vXfBm8XzyqvOc9HT1fPb098n5LPvB/Cb+T/+NAI4BswKNA8YDgwMPA5wC/gEoAfj/2v67/av81vte+0f7Nvt2+9D7yPwP/mb/9QBhAuYDRAWRBq8HygiWCfkJNwo7ClEKOwoQCrYJdAkvCdYIuQilCM8I8wg0CWwJ8wlvCvEKeAvECxAMEQz6C6ALMwt2CncJSAj1BqoFSgT+ApQBlACl/wr/vv6f/gX/oP+KAJYBBgN9BOcFZAerCBcKQQv3C28MpAywDHkMAgxQC3AKaQknCA4HDQb6BOkDwgLXATsByABLACQACwAIAC4ARwDZAD8BpAEAAlQC6AItA7wD+QOEBOYEAwWCBcAFbAbABlUHdAcNCEoIfAgGCcUIIwl+CDAIbwfxBkYGFgUpBLUCqQFFADL/6f0X/cv7p/rr+R756fgz+OL3QPcU95v2RPYU9m/1CfX28zrzR/Kd8ajwZu987iTtduy561/rBOvm6rbql+pJ66Lrwuw37bDtCe6i7j7vve+K8ITwyPD68JPxcPLj87n0t/UJ9x/4RPrr+3798P7+/7UApAGIAgADNQOxArQBKgFxAK//+/7s/eX8Lvy5+5v7FvxU/MT8fP1O/rT/EwGXAtEDDgUOBvoG+weiCFQJeAmRCYAJZwlqCSoJ8giZCEcI7wfKB7UHoQfAB74H+wdGCKsI/whgCYUJkQmWCUkJBQmJCNMH8Qb8BeQE8wMUAxUCUgGcAAsA4f/l/xkAigAHAaYBjwKsA8gE7QX8BskHywiOCVMK+Qo/C04LOAsaC9UKoQryCTUJTwhmB5QGvgX0BOADCQMKAloB9wCBAEIA+P/G/9T/IwCHAPgAXwG0AR0CqwIxA8MDMQR1BLsEAwVvBcMFFwY1BlcGdAaiBsoG9wbvBp0GaAbWBaIFFAWSBPAD/QJDAlMB1AAKAGn/wv7u/Yb9+vyz/Jn8UvwF/Mf7dPtB+x37qvpK+rL5y/g5+E/3cvak9U30LfPf8cbwte/b7jzuEu3p7C3s7utl7Afsc+yG7JHs2Oxa7Wbt2O377bvtN+5A7iDvfu+u8GLxlfKH9MP1S/jz+eT7u/1+/wkBnALmA24ECgXaBNMESQTJA8UCmQF8AAf/If4x/Z787/uu+1r7k/sZ/Kz8pP1b/mn/NABUAU8CLwMNBGcE7QQrBX8FuAUXBhsGIgZWBk0GkQbEBtMG7Ab9BuoGBQcIBxgH/wbeBnoGOgbtBV8F9ARJBJkD5QImAmsB2gAhAJT/+P6A/lj+CP4S/vv9Ev4//nr+xv5F/7H/JgCZACsB1wGTAmEDCwQVBe8F9gYrCDkJXgpRCxUMmAxEDYgNhg1ZDa0MCAwyC0QKPgk2CC8HDQY4BXME/gOcA0kDBAMJAywDRQOXA74DHARDBJEE0gQ9BYoFrwX3BTcGpQYFB18HnQcQCEoIkgjVCAAJDQm5CEQItgc8B3AGpgWsBJ4DswLQAQgBcgDi/0X/1/5+/mH+TP5P/v795f2F/Sf99vxi/Pv7Q/ub+un5bfnO+DP4yff+9sj2SfYh9vn1yvV49W31SPXu9PL0WPTg8yHzXPJV8Y7wce8S7mTtxusQ60DqWOlN6SnpSunh6cvq4+ua7XHvTvFe8331Ofd8+XH7Ff3i/uz/zAC3AUwCnQLpAp8CMwLQAWQBGAECAb8AawByAEkAsgAmAXQBygELAjoClwL9AjADeANrA0IDQQNHA1UDfAOWA6wDCQRkBO4EkAUQBqwGHwelBwwIfAjPCPYIFgkFCfEIrAhrCAQIrQcwB7cGPga8BVMFpQRIBIQD5wIhAk0BgwCK/8P+qv0Y/Vv81Pup+2X7pfsE/Mb8wv0X/08AhQHyAgMEJAX8BVIGcgYUBm8FtgTvAzIDGQJ0AesAjgAMAVsBTAJmA30E8QVvBwoJEAo1C6kL0gsCDFILvQrACUYIvwZdBQcE1ALcAfYAjwB7AMMAdwGDAqYD0AQiBloHmgiACRAKTwo7CgEKYQnBCCEISQdlBosF1gRjBAgEsgONA6MDigOaA6ADsgPgA7YDSgPvAj4CgwHPAOr/NP9u/oT9zPxr/D78P/x1/KH8//yg/eL9m/5d/53/JgDt/77/Zf/X/tn9nvxO+0z5jveg9eHzPfK78Bjv5e0C7WbsSuxN7Jrs2uyR7dztl+5m76XvEfAf8BTwJPA/8CHwO/Cm8O3wsfG78tDzZPUT9574m/qb/En+9f8rAVQCOwPPAwgEwQNgA6ACzAEQAU8AtP/a/jL+yP22/Tz+Vv4C/5b/FAAkAdIByQKfAwoEMwRfBIgEqwTYBMYEoATBBNwEHQXlBXAGOgfABz0I1wgzCWQJIQmwCMkHpAZHBaYDEQJ/AOz+nf2Y/OD7kPtw++D7iPxz/XT+bP+RAH4BTwLtAjYDWAMvA9sCcALqAYUBGAHXAOwAIgGVAR0CyQKMA2cEKwXIBT8GXAZKBvsFogX/BHEEZwNlArIBBQH+APoAIgFmAQgCwgLYAw8FCAbSBjYHjgezB0kIEggBCM8HYAeNB7kHDwiJCAoJLAnbCbgKOQvhC/oLjQuxC34L0wqqCmcJ9Qf3Br0F3wSeBJADkQIaAo4BUgHzAYEBWAFqAVUA4ADtANUA4gBxAC4ADQBOAA0AFADQ/2v/Uf9u/0D/aP9e/2X/8/88ANAAjQDCAFYA8v/H/2n+D/1O+9X4M/eO9cTzNvK98Knvie8r8NvwOfJL82v0E/Z99/L42fnX+Xj5qPjl9872cfUJ9FvyR/FF8Bzw/+9k8MDwcPGZ8lbzZPSW9AP1+PQB9Y709/Nc81XyJvK38Vvy8fLr8wn1j/aq+JT67vyG/moAlAGYApQDBgTABMEE+wT3BHMFowU9BtkGbAeZCOkI2QkWCpcKTwr9CVoJdQipBx8GFAXHA+gCMQL+ARcCpgIfA/gD5wQ0BlsHFgjACJkInAi+B0kHHwZQBfMDlwLwAfgAFQE+AFYA7v/Y/9v/T/9w/6j+Zf6n/YD9Zf0Y/Sn92fyZ/XL+dP+4AIABbQI5AwAE4gSgBY4FKQVoBOED0QNzA3EDDQPCArQC4QJ/AxAEXQRKBDgEJAQlBAIEqANpAyQD+wIZA2oDwgMZBIAEAAXqBaYGAQdAB3IHngfABwQIBAhFCO0HgweOB1cHYge8BiwGOQW8BMEDDwPdAisCWAKFAfcBPgKLAigDHQPzAz8EQQQEBNkDhwMPA+4CXwIsAhICdgDxAA0BZQHGAkwClwKvAmQCMQL4AvQBGgFk/7v8Xvyj+gf6xvjC96P22vWe9cT12PYM9j/26/Wp9Xj2z/W39Yb2vvVt9un27/Zk+Iz4OfmL+tf7XPwT/db8Yfzb/Mr7Rvsp+nn4vfZq9fnzh/MO8+LxmfHI8OHw7vA98SfxIfEx8Trx8PFy8pnzf/QB9hr3DPmu+jj8gf0p/nf/8P/ZAIkAkwBMAAsA/v/2/6AAtgBDASMBSQJIA5EEmwWOBqMHIggTCdsIvwmWCToJ0QjkB8QHEgehBiEGOAY4BgUG4QWRBYIFPgWBBAsEeAOEAqgBqQB2AH0ApwDDADMBwgFOAvwCbgNJBJ0ETwTPAzsD6AKmAiACxAGeAU0B6gDoABwBnAG3ARoBEQFkACcAdv/Q/nP+3P1e/Y78r/yq/Cr9h/0G/i3/xv+zADQB1QH3ApYDTwT5BIMFzQVgBqEGNwdZCA8IIwi8By4HJgfBBhcG8wWRBXYEmgQcBGkEDAXVBCoFeQXPBcIFRgb9BZoGuQZOBnUGOgYmBgIGEwboBW4GJQYHBuwFIwaIBpUGDQewBjQHngatBp0GiwatBqUFbQVbBD4EfAPwApkC3gF8AUcAp//I/j7+bv18/Or7PfsQ+1/6yvo3+8f7g/x5/O786/yv/GP8yfud+wz7Uvr3+bD5fPq8+oX7GPxI/LD88/vX+4H7x/oA+l74Zfec9vP1CvbS9YL2uvYN92f34/fJ+MD4//iY+IH4UPiw93H3Q/d595H31ffS9yn4MPgA+Bv48vca+G/3tvbb9Yv1+PUp9gP3P/fz90z4vvjB+Yz62fv3++L7qft3+y78V/xF/QT+9f5x/5z/iQAuAX0CqQLAAt4CaQLhAW0BWQEjAuQCaQPsA9gE2gWrBoUISgnKCj8KUAj5BhYF2QRXBPYD6ANcA1ID1wKzA7EEPgXTBDED7QHBAHX/o/4M/nn+5/5B/+r/gQCPAdgBawKlAuECeQLGAAkAXv8BAI0AAgG/Ae8BUwJkAjgD3wPoAw4DzQGuAB4Atf97/8//2/9CAEUAkwAqAWMBkwE2ASQBzABbAFoAgwBcAVICRwMkBN0EbwXlBVAGkQaFBuwFWgXBBL4EBwWFBSUGWgamBnAGlAZ+BkIG9AUABWUEaQMIAwUDLwP/A2IEHAWABdEFNAY/BqAGhQaPBpAGCAZDBiYGxQZtB+IHlwh6CKQI/gfzB2EHAgdTBkQFqgSoA5IDBwNBAxsDxgI6AhsBVwBF/1/+i/34/Hz8LvzI+yn8ifxQ/eL99/1L/p/9Nf1X/K/7UvuO+kX6ifmJ+Sj58PgO+cP4Cvlm+Pj3Vfeb9l327fU99l32p/bx9mv3/ffn+H75//k3+tz5uPkz+WL5Efk4+Qv57PgR+ZT44fij+On4t/iF+Hn4OfhG+Or3Ifh0+N74Vfnu+bX6tftZ/Ov8gP1e/sf+Rv+k/+3/PgDY/4j/x//W/zIAgwAZAP0ARwDEALkAPAFeAt4BtQLyAfUCvgLOAkgDuQKSA5sClQIxAkABKQA//kH9kvwu/NT7M/ty+6T7zfvE/MH8rf1s/c38MP36/Of99P1+/m7/vQDpAeMCUQPCAxgE6gNqBN0DhwMyAkABvAAJAY8BiAGWAQMBuAChAIIAQwAFAO/+gP7X/Sr+ov4j/woAigCzASQC0QLTArsCpAKZAg4DhwPnAy4EUAStBHkF6AV3BkUGpwUxBXYEWgQcBAUE5QO4A8kDyQPfA7YDeAMYA/wC6QL+AtYCoQKwAugC7wPGBAkGywZDB64HpwdWCHgI0Qi/CEgIYwjJB8MHYQcLBxAHgQaEBjgG9QXLBQIF2wSFBGIEawTvAyEEDwRXBLMEywT+BJ4EzgMgA3sCEwL0AZkBmwGoAYUBhgFmAXIBaAENAYUA2P8x/0P+lv3v/M/8tPyb/KP8ffym/G/8SPwb/Ar80vtn+0H79foW+wn7wvrS+mL6YvqP+Uz5u/g++Cz4Ufes91330Pek9+r38PcW+Db40fc8+L33Mvjj9zD4ePin+C35dvnW+Rb6Pvrx+Tv6zPlI+sr5Wvoc+ib6GftI+hr8Pvvy+zr8Jvwu/Xv9Wf5h/jr/v/60/+7/RAEsAvQC+gPSA24F9QTkBQ8G7QVIBmUFOAXQBAAFPAWzBfsFywWyBCUC2/94/Z/8Xfxq/Pj8PfwX/PL6bvs6/Mr8PP0E/IH73vr4+gj8Wv0T/zEAxwA0AVYBKwG5ABIAof9m/1b/+P4c/+7+Iv/R/+D/cgC+/9b+nv29/NX8CP02/ln+sP5h/hz+gv5b/rz+U/4l/tH95P19/jP/IACZADEBrAE8AmACWwIeAhQCdAI1A14EFAW0BakFoAXUBc8F4wU2BXwE1QNaA6kDzQNCBPADbAO/AiMC8gHUAccBsgHQAdEBgALiAsgDPQScBAUFBQVyBV0FrwXXBScGuQbnBl4HRwdjB1sHmge1B9IHdAfRBjUGgAWDBW4FxQXeBQQGHgYrBlAGJQb+BbkFiAWhBdcFJQYvBiAGugWZBf8EtQQaBF4D6QLwAZoBkgAqAAf/if6s/R39wPwU/N37ZfuA+1n77/v9+5D8tPzq/C79SP2i/Z391/2H/Xz9AP2n/CL8p/tC+7b6ZvrM+Yr5/fij+B/4q/dD99P2pvai9uH2Qvec95/38ver92H4avg1+TH5Z/k9+R75XPlc+aD5Uvmy+aP5a/pQ+nH6rfkQ+cP41/j5+bT6yPs3+yD7Ufpe+pn6GvsO/K386f0L/i3/Ef9f/xgAFABWAucC1QSLBEQFtwVgBosIHwjoCJYGpgTLAiECDgMbBF4FFgV+BA8DZQFNACj/j/6b/mf+D/9A/5H/Tv8T/8P+uf7A/lD+0P34/KL8z/zt/TX/mQAGAd4ABQBR//T+9/5o/73/SQCsADoBswE5AmgCLQKmAb0AGwBr/y7/If9t/+z/ZQCnAHYA9P8a/3L+Cf5O/sP+c//R/wIAJABDAKUA3QA3AU0BbAGmAf4BjwL4AlMDXwN/A7YD6gMaBMADWQOYAkcCBwJ4AtYCNwNiA9QCvwLrAdABUQFdAZ0B0gGFArYCWAOJA8gD6QOhA50DEAP6AugCuAPVBPsF4QbyBqMGmgUBBU4EigThBGkFCAY6BtcGvwb1Br4GkQamBksGiAZhBtMGCAePB7wHMQgHCIwHwAbFBXMFzwQeBY8E3wRHBLADrgJVATMAEf9c/hD+iP7X/jz/3P5x/uD9nf2J/fj9qv5U/87/BQDr/+v/cP/p/on++f38/YP9mv1t/ZT9Uv3d/Bj8EftA+mX5Mfkt+WH5Xfn++In4I/je96r3gPd+90H3Ufcg9zn3a/eV9+P3Nvjd+Dr5Zvn7+KH4YfjO+DT5HvrB+uP64/oX+v/5zvkP+tr5wfnP+en5OPok+mf6Sftf/AT9jf3o/OH7pfq5+uv85gCkBJoGwAYPBf4CmwGZAbkC5gQGBgQH8QbPBgEGrwSMA0kCkgLNASECTQGZABQAcv8nADYAqwDI/2L+PP02/Kf8M/0+/iz/ZP+X//P+gv7N/T/9Kf1x/YP+cP9sAIsAagDK/2X/TP9k/9T/8f9MAEwAxwAuAYoB0wF+ATkBewAQAJn/cf+K/4r/8v8LACcAu//y/iD+ev2K/Rr+Hv/7/4oAjABpAEQAbQDcAHABLQLMAoEDwQMEBL4DaQMuA90CLwMuA3IDTgMfA/ICywLhAtQC3QLGAtkCBwNoA34DrAM/AxED7gIKA7kDDASuBIwEfQQeBLwDnwNPA5oD4QOHBBsFUgVWBeAEcAQpBDwEugQpBbYF9wU3Bl0GbAZ7Bm4GWwYtBisGBAY1BiQGVwZiBigG7QXrBAoE+gJYAjECQgKmAnUCHQJAAXUA6f+F/4//qf/r/zYAbgBrAE0Ap/8y/6f+jf7f/hL/e/8h/9X+Kv7B/Yz9TP1p/Sz9Mf0T/bv8ifze+6T7VvtE+4D7Jfs3+xr6xPnT+KP4rvij+C/5pvgy+VD4ffgR+Pj3d/iS+K/5wPmu+kz6fvqG+sD6dfuH+yz85vtN/P77LfzT+6n7PvsS+/j6pfpj+o75Vvk++cP60Ptt/YD9zfwN/ET7ivwE/uMAzwIrBJIE6QN7A2MCTwKpAtoDmAWyBjUHAQaUBJoCFwInAtgCywNzA1gDOgK5AQ0BfgAlAIz/iP80/zn/tv7v/T79uPzK/Br9Xf1A/cD8PvwJ/ET87fx+/Sz+f/7t/hv/Pv8H/6P+lv6a/oX/JAD/AOUAYwCV/7P+i/5x/hf/Qv9v/zb/sf5o/un9Cv4D/nj+tv7Z/sb+WP4f/tz9L/6k/mD/wf/i/27//v66/uH+rv9tAFEBeAF7AQ0BvwDeACgBAwKwAlkDgQNEA9oCLAIEAuwBawLSAkEDJAPgAkkC6wHfAfcBlAKeAi4DtAJIAwID0wNlBM4E2AU3BQMGIQWgBasF7wUVBxIHJwi7B8oHMweJBo0GWwYGB3oH4Af4B6oHJAfaBmQGjgZ2BoMGhgYfBhkGYgVEBawEdwQdBN8DoANPAwgDpQKKAj4CagI7AlQCHgLCAZYBKAFOAUQBggGsAW8BOwFsANf/Nf/e/uf+Dv9Q/1P//f46/nn9d/w0/AP8fvz1/Az9+Pzy+yf7Dvq8+eT5EPqy+nL6Dvpd+XX4Ivjw92r4D/mw+Rn61/kx+UL4w/f09xr5Sfqb+3T7zvos+dP3Tfdw97743vkG+yf7jPo++aD3mPa+9vn3UfpW/K39jf1C/AH7+PmY+vH7O/4bAGgB2wE2AXEAYf84/5b/3QBTAn0D+QOGA8oCAALAAQACkQIfA1EDUwMhA9cCmwJNAi4CGALyAeoBfwEpAaIAZQB2AJAA7gCtAHMAvf86/xT/EP+5//D/ewBhAB4Arf8C/7r+cP7Y/gD/fP+D/0z/ov7h/Ur9A/0r/Xz9Ef4i/lH+/f3j/dj9u/05/ij+sf7O/vv+Uv8B/2L/3v4U/wP/yf4x/4L+Dv+u/ij/Z/9C/5X/A/97/5j/YAAtAWMBwgFbATkBNQEXAZ8BsQEOAl8C3wHZAYsAAQBd/3T/ZgDWAMoBfwEUAW0A9f9SANcA/wEfAw8E1wTOBMwEFwT6AzwE3AQ8Br8GaQfHBjYGiwX1BF8FdAVYBp4G+AbUBlUG0QVGBTgFeQUxBpgG8AZ/BgIGOgWUBG0EOgSUBKQExQSSBBUEdQPHAlYCQAJ5AugCQgNcAx8DtQIiArsBegGFAcMB/AE1AvoBogEBAVoABACx//D/EQBhAF4ANwD7/37/Yv8g/03/gP+s/+j/vf+z/0v/Df/D/on+gf5L/kv+EP7c/Z39Sf0Y/dX8tPxz/FX8Afzn+6L7k/ty+0T7LPvb+sD6ePpl+kL6Ufpe+of6mfrA+tT67for+1H70vsE/Hr8qPzg/A/9IP1l/ZL92/0W/jP+R/49/hn+Dv75/Sb+T/6C/qT+nv6K/kf+Hv7//Qn+P/55/r7+4f7U/rX+gP55/oX+0v49/6P/EgA4AE4AMQAaABAAJQBcAJUA2wDdAM8AgwAvAMX/gf9c/03/Yv9m/2r/QP8Y/9T+rP6V/p3+x/7W/gL/6v7c/qn+av5H/g/+Dv78/fX95P3I/ab9ff1n/WH9cP2P/bb93v39/RX+J/4w/j3+Xf5x/pH+l/6j/qX+m/6l/pr+pf6n/rD+tv7N/t7+8/4R/yz/Uv90/7//4v8jAEcAcACeAM4A/wAsAWEBmQHGAQUCOAJ5As0CEwOKA+MDYATfBEEFvwUQBoAG1AYzB38H1gcGCEIIQgg2CCgI2ge/B08HQQfrBtIGkwZOBjMGyQXEBVQFVwUUBRUFBwXsBAMFwATGBHsEawQwBA0E8AO4A6IDcgNWAzQD/wLlArgCqwKRAnICZwI8Aj8CDQL8AdYBuwGXAW0BSQENAeoAnwB6ADQABgDL/5P/XP8R/+D+mv51/jX+CP7X/a39iP1e/Tn9Dv3n/Mf8pfyP/Gz8W/w8/C38HPwQ/BL8DPwX/Bf8Jvwe/Cb8Ivwl/CP8Jvwr/Cf8Kvwh/Bb8Cfz++/L75vvp++f7+Pv/+w/8Gvwo/Dn8QvxS/Fr8cPx1/IX8hfyG/If8e/yE/HX8hvyG/Jv8p/zA/Nv8+/wp/Uz9hf2q/eP9Bf4z/lj+ev6m/r7+8/4Q/z7/XP98/6D/vP/s/xUAWgCUANoAIgFjAacB1gEVAj4CcQKXArICygLPAtcCvwKwAoYCYAIwAvoBygGGAUoBAQHMAJAAVwAmAOv/u/9//0T/Af+//nf+O/76/b79gP1B/QH9w/yK/FT8M/wS/Az8Ffwx/FT8hPzG/P78UP2f/fX9Qv6R/s/+/f4r/0D/Vv9U/17/Xv9Y/1T/VP9R/1T/Vv9j/33/iP+V/53/of+n/6D/mP+H/3P/X/9B/xr/9f7W/qz+nv6O/qb+u/7u/iX/cf/K/yIAiwDtAGYBzAE6ApoC7gJIA4IDzwP9A0QEeASvBPIEHAVbBYkFvQXjBQsGLgY8BlIGSQZFBiEGAgbVBaEFeAU/BRQF3AS9BJQEfwR1BHYEiQSbBMEE2wT7BBAFGQUfBRcFCAXuBNcErAR3BD0E/QPCA3sDQQMMA94CtQKLAnECRQIrAgcC5wG/AZkBcQFAAQgBywCFADsA7f+f/0j/9v6g/kz+AP6v/XP9Mf3+/Mj8lfxm/DP8Avy/+4f7QvsD+8H6fPo5+ur5qPlh+SL56/i6+Jv4hPh9+H34jvii+L744vgQ+Uj5gfnE+Qn6SfqL+sX6BPs5+2n7n/vK+wH8K/xi/JD8yPwC/UD9hv3J/Rv+aP6//hf/bf+9/w4AWgCbAM0A/wAhATkBSgFSAVcBUgFQAT8BNwEeARAB/wDqAOUA1wDZAMoAyQC/ALMArACUAIYAZgBWADkAJAASAPz/8f/c/9b/zP/I/8T/x//K/8z/1P/V/9z/2f/e/9b/0P/J/7z/rv+a/4T/Zv9O/yz/Cf/e/rr+lv5w/lb+Ov4w/iT+KP40/kX+Yf57/qP+yf70/iL/Vf+J/73/8v8jAFUAggCwANgABgEzAWIBlgG9Ae0BDQI2AlICbAKDApkCrwK6AsoCygLUAssCxgK8ArkCrgKmAqMCoAKiAqICrQKwAsMCzQLfAuwCBQMZAy4DTQNkA4gDoQO/A9MD4gPvA+0D7gPvA+4D7QPoA+YD3APWA8wDxwPFA8EDywPOA94D6APzA/ID9QP3A/AD5gPSA8IDrwOaA30DXgNFAywDHQMIAwkD/wIBAwMDCAMTAxsDJQMeAyADBAPqArsCdgIlAsABTQG1ACUAe//M/hn+d/3f/Fj85vuM+0n7E/vm+sP6qPqT+oD6ePpt+mv6Xvpb+kf6Qfos+h36GPoY+iD6MPpa+oP6yPoH+1r7qfsA/FP8mPzh/Bv9T/1q/X/9gv14/V/9OP0J/c78lfxY/Cb8+/vb+8P7ufu0+8P7y/vm+/z7H/xL/Hz8pvzW/AD9H/05/VH9Zf1t/Xb9h/2M/Zv9pP29/dP97P0J/iL+P/5Q/mT+b/52/nn+dv5v/mX+YP5P/j3+Lf4X/gP+8/3q/d794P3e/eH95f3i/ej97P31/fv9CP4X/iD+MP5A/lH+Zv53/pH+r/7J/ur+D/81/1r/hf+0/97/FABEAHUApQDcAAsBOwFvAagB2AEQAkECdgKrAugCHgNYA5ADygMHBEIEewSyBOoEGgVLBXkFoQXLBekFAQYTBiMGJAYiBhQGBgbzBdcFtgWPBWwFPwUTBeUEuQSTBGwERwQhBP0D3AO5A50DhANpA0sDMwMbAwgD9ALmAtoCzwLIAr4CuQKuAqQCnAKUAowCggJyAmQCTwI1AhIC7QHIAaMBgAFZATIBEAHlAMcAlAB4AEoAKQAFAOL/y/+f/4r/Wv9F/xj/+P7Z/rT+nv58/nD+W/5Y/lT+Vv5j/nH+g/6c/rP+0f7p/hX/Lv9M/3D/gP+h/6P/xP/G/9v/5//6/x4ALABdAGYAlwClANAA5AD+ABwBFwEoARIBCwHhAL8AkwBeADEA+f/R/57/gv9k/1H/Rf9B/07/WP9w/4v/q//J/+T//P8IABIACwD6/97/tv+L/1T/Iv/o/rj+if5b/jL+EP77/eP92f3U/dr92P3g/d792f3N/bz9qP2P/Xb9Xf0//SL9Af3m/Mj8t/yj/Jv8mPyc/Kj8svzH/Nb85/zv/PX88vzs/Nn8xvyk/Hz8W/w0/A/86fvP+6/7pPuO+437ivuX+6f7ufvX++j7CvwW/DP8RPxm/IP8qPzX/Pz8P/1x/b/9BP5d/rL+Dv9x/8n/LQB9ANgAHQFlAZ8B0QEDAh8CRQJVAnACfAKLApkCpAK4AsIC3QLpAgcDHQMzA0UDVQNjA2cDawNiA14DSwNCAzEDJwMfAxoDHwMhAzQDPwNbA3EDkAOvA9YD+QMbBEEEXgR7BI0ElwSeBJcEjAR8BGgEUQQ6BCcEFQQEBPQD6wPeA9kD1QPSA9MDygPDA7MDogOGA2ADLwPzArYCawIjAs4BhwE3AfwAvACHAF8AOQApABYAGQAaAC0APABZAG4AiQCmALgA0gDYAO4A6gD3APYAAgEGAQgBEgEJARYBAwEIAfYA7wDeALoAngBtAEoAAQDN/4L/PP/r/pv+Uv7+/bv9bf0v/en8rPxu/DP8AfzO+5z7bPtE+xv79vrV+rX6mvp9+mP6VPpB+jr6MPot+if6Kfoh+hX6Cfrv+eH5x/m4+Zb5g/lm+VT5P/kx+SX5Ifkp+S35SPlf+YH5p/nW+Qf6Ovpw+rL68fo0+3L7tvsB/E/8mfzo/Db9if3Z/Sf+ff7Q/if/dv/O/x4AdwDEAAwBUAGRAc4BBwJDAm8CqALSAv0CIgNHA2kDhgOmA7cD0APiA/QDAwQVBCUELgRDBFEEaQR6BJIEqwTIBOQE/QQcBTMFTAVaBWsFcQV3BXIFaAVeBUYFNAUNBfQEwwSkBGsERQQRBN0DrQNxA0ED/gLNApMCUwITAs8BkAFCAfcApwBYAAQAsv9k/xX/yv6F/kP+Av7K/Z/9cP1H/SL9AP3p/M/8vvyq/J78ivx//HT8ZfxX/Er8QPw+/DX8Ovw+/EX8Vvxl/H38jfys/L381/zo/AL9Ef0e/TD9L/09/Tz9SP1I/Uz9UP1T/WP9bf2H/Zj9vv3X/Qj+Lf5o/pT+y/4I/0X/g/+4//r/LwBuAKMA3AAUAUgBfwGuAeEBDgI2AmMCjwK3AtMC+wIXAzoDVwN1A34DmQOjA6wDrQOvA60DngObA4ADdgNWA1ADMQMhAw4D/AL9AvAC/QL0Ag0DEwMlAzQDPwNaA1sDcwN1A4QDhQOLA40DhAOAA3MDZQNWA0YDMQMcAwkD9QLhAs8CtwKgAowCbwJYAjgCHwL/AeABwgGaAXsBUAEwAQkB6gDHAKYAhwBpAFIAOAArABoAEQAMAAgADQAJABAAEQAYABQAFAALAPz/7//V/7z/nv+I/2r/V/9D/yv/Hf8L/wD/8/7x/uX+5/7b/tj+0P7B/q/+kf52/kb+Hv7k/a39Zf0g/dv8l/xX/BT83fuq+4L7W/tC+yT7FvsD+/T65PrP+sj6pPqS+m/6Ufoy+hP6APrg+dj5xfnG+cf51fny+RD6Sfp7+sj6FPtk+7H7APxQ/JT83vwb/V79k/3M/QH+Mf5k/pT+yv79/jn/dP+z//f/NQB6ALwA/gA8AX4BuwH6ATUCbQKhAssC/wIrA1gDiAO3A+gDGARLBHsErQTfBBIFPwVvBZoFvQXeBfsFCQYZBiAGLQYsBikGIgYNBvsF4gXUBb4FsAWgBYgFegVbBUsFLgUaBQoF9ATjBMsEuwSeBHoEYwQ+BCQEAQToA8cDqAOPA2MDSgMmAxAD9QLhAs8CsAKcAoUCbQJOAjACEALtAcQBlwFiASoB7ACtAG4ALQDr/6j/Zv8m/+3+vP6O/mP+Pv4k/gT+6P3I/bP9lv13/Vr9NP0W/eP8xvyZ/Hj8Wfw6/Cr8FPwO/AH8BvwJ/Bb8Kvw7/E78Yfxw/Hb8ePx3/HH8Z/xX/EH8LvwR/Pf73vvP+7z7rful+5/7oPuY+6D7ofur+7L7uPvB+7v7wPux+7X7sfun+6f7nPul+6f7sPu7+8776/sD/Cj8Tvx4/KT80fwC/S39Wf2E/a791/35/SH+R/5q/pP+vP7l/g//Pf9r/6P/3f8bAFkAmwDcABsBVQGOAdAB/gE7AmkCmgLAAuACAgMWAzwDSwNpA30DmgO7A8wD8QMBBCoESARoBJAEpgTIBNQE6ATwBPkE+wT4BPoE7gTsBNkE0ATDBLIErQSkBJwEkQSQBIwEigSMBI4EiwSGBHwEagRTBDQEEwTvA8oDnwN1A0wDGgPtAr0CkgJgAi8CAALUAagBdgFJARsB6gC4AIwAWQAmAPT/v/+J/1L/Hf/r/rn+hv5X/i/+B/7g/b39mP12/Vf9NP0W/fn83fy9/KH8gvxi/ET8JPwJ/Oz71Pu4+5z7iftr+0/7Mvse+wT78Prd+sv6t/qd+oX6b/pd+lL6SPpB+kP6R/pN+kn6Vvpe+nD6i/qj+sH64Pr++hT7MPtH+2b7fPud+7f70/vz+xT8Ofxk/Jb8xvwB/T/9fv26/fb9Nv5u/q/+6/4m/1v/hv+y/9D/8v8OACwATABoAIgAqgDOAPMAGwFHAXoBrQHmARcCSAJ3AqUCywLsAg4DKgNLA18DcgOAA4oDmAOkA7MDywPhA/YDDAQmBD4EVARnBHwEjgSdBKoErwSyBLAEpgSdBJEEiAR7BG8EYQROBDwEJwQSBAIE8wPmA94D0wPKA7kDpAONA3cDXgNGAy0DEQPzAs4CrQKGAl0COAIVAvQB0gG0AZMBeAFdAUIBLwEcARIB/wDtANcAuwCbAHcAVAAxAAoA4/+5/43/X/84/xT/8P7W/rn+pf6S/oD+dP5h/lL+R/44/iv+HP4J/vP91v2//ab9j/17/Wn9Xf1P/UP9N/0t/ST9HP0e/SL9J/0t/TH9N/03/T/9RP1L/VD9V/1f/WH9Zv1u/Xj9gf2O/Z79rf23/cT90P3e/ev9/P0M/h7+M/4//k7+W/5u/n3+k/6q/rz+0f7g/vT+BP8a/yr/Rf9c/3L/kP+q/8L/3P/1/xEALgBOAGgAhgCdALUAyADYAOMA7wD+AAgBFwEhAS8BOgFKAVUBYQFtAXwBjQGeAa4BvQHHAdYB3wHvAfYB9QHyAfYB8wHxAekB3QHXAc0BvgGvAaEBlQGLAYUBhAF9AXwBeAF3AXcBfAGEAYoBkQGZAZ4BngGdAZMBiAF3AWYBUgFFATEBHwELAQAB6ADWAMgAuwC1AK8AqwCrAKsArwCqAKEAlwCSAIcAeABsAF8AUwBFADgAKQAcAA8ABQD+//b/7f/t//L/7f/o/+P/1v/G/7b/ov+U/4P/d/9r/2D/VP9K/0H/OP8y/zX/Nv89/0P/SP9N/03/Sv9I/0P/O/80/zD/Kf8k/xn/E/8J/wT//f75/vn++P7+/v7+CP8R/xv/Jv8q/zv/Q/9N/1P/Vv9e/1v/Xf9T/1H/Uf9J/0T/QP87/zf/Nf8x/zD/Lf8w/y7/MP8y/zH/Nf81/zz/Pv9B/0j/Sv9N/1H/VP9U/1T/U/9V/1X/VP9W/1n/WP9X/1T/U/9T/1L/Tv9O/0z/Tf9N/03/UP9U/1f/WP9b/2L/Zv9p/27/c/91/3b/ev98/4L/h/+G/4f/iP+N/5H/l/+d/6f/rf+6/8X/z//e/+///v8OAB0AKAA1AEMAUABaAGMAbgBxAHQAfAB9AIUAhwCMAJMAmwChAKUArwC0ALoAvwDFAMoAzwDRANQA1wDbAN8A3wDhAOEA4QDeANwA3gDcANwA3gDeAOQA5ADoAOMA4wDkAOEA5ADhAOYA4gDjAOIA2wDZANMAzADIAMEAtwCvAKQAlwCJAH8AdQBmAFUATQBEADoAMgApACIAFgAUAA0ACwAHAAgABAAHAAkABQAHAAwADgAOABMAEQAXABwAIgAkACcALAAqACwAMQAxADEALwApACIAFwAQAAUA/v/z/+v/3f/U/8z/uv+1/6n/oP+a/53/mv+Z/5T/jP+L/4v/gv9//3H/bP9m/2X/bf9w/3L/bv9l/3//d/90/1z/bP+P/5//sP+k/4j/sv+b/8r/Yf8U/+D+Rv/B/+n/nv/1/rP/mf+9/1H+Hv3Q/Xv+hf83/97+9P6Y/9r/G/9x/vz9xv50/+z/CwDc/93/GgDT/8r/hf9k/4v/ff+8/7//8P/M/8D/xf+8/+X/rP/A/9D/3P8/ALAAJAEUAaoAVABHAGoALwDZ/97/LwDQAPQAtgBXAAgAJAAHAAYA4v/f/xQAWwCkALkApgBvAFEARwA3ADQAJwBAAHAAsADWAMsAnABxAEwASABIAFQAewCcAM8A3QDPAKMAbgBWAFEAYQB6AI4AqQC0ALAAqACEAGcASwA7AEIASQBYAGAAbAB3AHAAaQBVAD8ANwAzAEUAVABtAH4AjACRAIcAeABqAF4AZAByAIAAiQCPAI4AiAB+AG0AXwBFADkAMgAvAC8ALAAoAB8AGgAQAAMA8v/j/9//3f/i/+j/8P/z//P/6//m/+D/2//T/9P/3v/q//j/AAADAP7//f/6//L/7v/s/+//9f/4//r/+P/0/+v/4f/Q/8T/wP+9/7//v//G/8P/u/+w/6X/nP+Z/5z/of+k/6n/q/+u/6r/qf+o/6f/rf+x/7X/t/+9/8L/xf/G/8T/xP/C/8D/wP/F/8v/0f/Q/9P/z//Q/8//zv/N/8r/y//O/9D/0f/Q/8v/yv/H/8T/wv/C/8P/xv/G/8j/zv/M/8v/yv/L/87/0v/T/9f/1v/a/9v/3f/e/93/3P/f/9z/3f/b/9n/1v/U/9D/yv/J/8f/xP+//77/v//A/8H/xP/F/8T/yP/K/8r/yv/L/8v/zP/K/8r/yP/H/8n/x//F/7//uf+3/7T/sv+w/7X/tf+4/7n/uP+3/7T/sv+2/7n/vP+//8L/xf/G/8X/xP/D/8L/xf/I/8j/0P/S/9H/1f/X/9f/1//Z/93/4f/m/+z/9P/4//j/+v/7//v//f/+/wQABQAJAAsACwAMAAwACgAHAAgACgANAA4ADwARABUAFwAXABYAHAAfACMAKQAuADEANAA3ADkAPAA7AD0APAA+AD4APAA7ADoAOAA3ADUANgA0ADQANAAyADEAMQAxADAAMgAwADAAMAAuAC0ALgAuADAANAA0ADYANgA4ADkAOwA6ADoAOgA6ADoAOwA9ADoAPAA5ADsAOgA6ADoAOwA9AEAAQgBFAEYARgBHAEkASgBKAEsASwBKAEkASABFAEIAQQA/ADwAOgA4ADoAOwA7ADsAOgA5ADsAOwA8AD8AQAA/AEEAQABAAEAAPwA9ADsAOgA4ADgAOAA1ADMALgArACcAJAAiAB0AHAAZABcAEwASABAADgALAAsACAAIAAQABAAEAAMAAQD9//z/+v/4//X/8f/v/+//7f/t/+r/6//p/+v/7P/t/+3/6v/q/+r/6v/p/+n/5f/h/+L/3f/c/9r/1//U/9T/0//T/9P/0//Q/9L/0f/P/8//zf/O/87/zv/O/8//zv/N/8z/zP/L/8r/yv/H/8j/x//G/8X/w//C/8L/w//E/8T/xf/E/8b/xP/H/8b/xv/F/8b/xP/F/8P/xP/E/8H/v/+9/77/v/++/73/vv+//8D/w//H/8T/yv/J/8r/zf/P/8//0v/U/9X/1v/V/9X/1P/U/9T/0//U/9X/0//V/9T/1P/U/9b/1v/Z/9v/3P/d/93/3//e/+D/5P/k/+L/5P/l/+P/5v/k/+X/4//k/+P/4P/i/+T/5f/j/+T/5v/m/+n/6P/s/+3/7v/u//D/8f/x//H/8P/u/+//7f/v/+7/7f/t/+z/6v/s/+3/7v/w//H/8v/w//P/9P/2//b/9v/3//j/+//6//j/+//4//j/+f/6//z//f/+//7//v///wEAAQAEAAYACAAHAAoACgAMABAAEgATABIAFAAUABUAFgAWABUAFwAXABgAGQAdABwAIAAfACEAIwAlACQAJwAoACwALAAvAC8AMQAwADEANAA0ADQANAA2ADcANgA3ADcAOwA6ADsAPAA9AD4APgBAAEIARABDAEQARABFAEYARQBGAEUARwBFAEcARwBHAEcASQBKAEoATABKAEsATABLAEwATABNAE4ATwBNAE4ATgBNAEwATgBNAE4ATgBOAE8ATgBOAE8AUABPAE8ATwBNAE4ATgBPAE0AUABNAE0ATgBOAEwATgBOAE0ATgBNAEsASwBKAEoARQBHAEYASABHAEUARABCAEMAQQBBAD8APQA7ADoAOQA2ADUANAAyADIAMAAvAC4ALQApACoAJgAmACYAIwAfACAAHQAcABsAGAAWABYAFgATABMAEAANAAsACgAHAAYABAADAAEA///+//3/+v/4//f/9f/y//D/7//t/+v/6f/p/+f/5//l/+X/4v/g/9//3f/c/9n/2f/Y/9X/1v/U/9T/0f/R/9D/zv/O/8z/zP/I/8j/yf/H/8b/xv/I/8X/w//E/8b/w//C/8L/wf/B/8D/wf/A/7//wP+//7//vv+//7//wP/A/8D/v/++/7//wf+//8D/v/+//77/vv+9/77/vP+9/7z/vf+9/73/vv+7/7v/u/+7/7z/u/+8/7z/uv+6/7j/uP+5/7j/uf+6/7f/uf+2/7b/tf+0/7X/tv+1/7L/sv+x/7H/sP+s/6v/qv+q/6n/qf+o/6j/pv+l/6b/pv+l/6P/o/+i/6H/oP+e/5//nv+e/5z/mv+Z/5n/mf+a/5b/l/+U/5P/lf+U/5T/lP+T/5P/kP+V/5L/lf+S/5P/lv+V/5T/l/+W/5X/lv+W/5j/l/+Y/5f/mv+a/5z/nP+e/6D/oP+j/6X/qP+p/63/r/+y/7L/tP+z/7L/tv+2/7f/uf+6/7v/uv+7/7z/u/+//73/vv++/8T/w//H/8j/xv/H/8r/y//K/87/0P/S/9H/0f/S/9X/1//Y/9j/2//b/9v/3P/f/9//4v/l/+X/5//o/+v/7f/w//P/8P/y//P/8//0//T/9P/1//T/9P/y//L/8f/1//P/9f/0//X/+P/5//r/+//9////AwAGAAYACQAIAAkACgALAAkADAANAA4AEQAUABQAFQAWABgAGgAbAB0AHgAfAB8AHwAgAB8AHQAaABkAGwAbABoAHQAcAB8AGwAfAB4AHwAfACAAIwAlACYAKAAsAC4AMAAwAC8ALQAtAC8AMAA0ADIANQA2ADkAOQA6ADcAOAA2ADcANwA4ADkAOgA6ADkAOQA4ADYANwA1ADQAMQAxADQAMwA0ADIAMwAyADUANQA3ADkAOwBCAEYATABNAE8ATwBOAEwASwBOAFAAUABTAFQAUwBSAFAATABLAEsATgBRAFYAWQBfAGMAZQBlAGIAXwBdAFwAXQBbAGEAYgBjAGEAXQBYAFQAUgBRAFAAUgBRAFMAVABTAFIAUwBRAE4ASQBJAE4ATwBUAFcAVgBVAFUATwBLAEUAPAA6AD0AOgA+AEIAQgBCAEEAOwA1AC8AKAAkACQAJAAkACUAJgAjACAAHAAWABIAEAAQABAAEAARABEAEAANAAcAAwD9//n/9f/3//n/+v//////AQAAAAAAAAACAAQABQAJAA8AEgAWABYAEgAOAAoAAQD7//P/7P/l/+L/4v/h/+P/5v/k/+T/3//d/9z/2P/W/9X/1//a/97/4//k/93/2P/R/8n/w//E/8P/yP/N/9P/2v/i/+b/8P/1//r//P/+//7/AgAFAAkADAAPABAACwAFAPf/6//h/9z/0//P/8z/yv/M/8z/yf/E/77/uf+2/73/xf/S/+H/6v/t/+n/4//X/8//yv/D/8T/yv/V/93/5v/x//X/9P/w/+r/5P/k/+3/+v8JABoAIwAmACAAFwAMAAIA9//x/+3/8f/0//n/AQALAAwAEQAPAAwADAALAA4AGQAjAC8AOQBCAEYAPwA3ACYAEwAAAPb/9P/8/woAFQAfABwAEAD8/+P/zf/E/8f/0f/e//D//v8FAP7/9v/n/9f/z//J/8z/2v/q//7/DQATABAABwD8//P/7f/z//n/CQAZACkAMwAxAC0AIQAQAPv/6//n/+v/9v8FABQAHgAkACYAIAASAAYA+f/4/wIAGQA0AE8AZABrAGkAXABKADMAIAAZACIALgBBAFEAVwBSAEIAKwAXAAUAAQAMAB4AMAA7AD0ANAAnABkADwALAA0ADwAVABoAHAAdABkAFQALAAYACwAWAB8ALQA1AD0APQA+ADoANgAzADIAKgAjAB8AFgAPAAcA/P/x/+T/0//J/8P/wf/D/8T/xP+//7v/xf/P/+L/8/8AAP3/+P/t/+b/5//u//f/BQAUACEAKQAsACYAHQAPAAAA+P/5/wIAHAA0AEYATQBDADUAIQAZAB0AKwA/AE8AWQBZAFMAQwA1ACAADwAEAAMADwAbADEAOABBAD4AOwA4AEAASABUAF4AYABlAGMAXwBYAE0AQgAyACEADQD9//H/8P/w//f///8IABcAJgA3AEEAQQA1ACQAEwAOABMAIgA4AEgAUABSAFMAPQAkAAMA4//R/9H/4P/2/xAAJAAuADAAIAAQAPn/8P/y/woAJwBEAFYAVABKADcAJAAOAPr/5v/d/+X/7/8CAAkABAD7/+3/5P/e/9v/3f/d/+b/+P8RAC0ANwA6AC4AFwD4/9r/v/+y/7T/zv/y/w4AGAAIAOj/xf+p/5T/if+U/7L/2/8QAD0AUwBIACYA9P/P/7r/uf/H/+D/+f8SACUALQAgAP//1/+r/5X/lv+n/8P/5f8FACIANQAwACEACgD3//H//v8WAC4ATABrAIkAlQCNAGkAPAAZABEAIgBEAGEAcABuAGIAVwBDACwAFgAPABUAMgBTAHEAeQBxAGMAUQBEAD0AMgApAC8APgBSAGIAZABXAEIANgArACIAEwADAPr/AgAdADsAXABoAGcAWQBRAEgATQBRAFMAUQBTAFQAXQBeAFYAPwAhAAMA9v/4/wEACwAOAA0ACQAIAPz/5//U/9P/3//6/xMAGgAIAOX/xv+0/67/tv/G/93/+P8QAB4AHAADAOT/zP+//7r/tv/B/9r/AAApAEMAQAAgAPj/zv+v/6b/r//F/+v/DQAtAC4AGgD6/97/x/+v/5z/jP+Q/6f/0v8BAB8AIwAIAOT/xP+4/7v/yf/j//z/DgAWABIA///j/8j/wv/E/9D/4P/u//T/+f/7//7/AwD7/+r/1//C/8L/0v/2/xkANgBMAFsAYwBYAD8AGAD9//z/HABVAIEAlAB+AFQAKAARAAUAAQD5//P///8kAFoAiwCbAIAAPQDq/5//c/9z/5H/z/8AACAAFQDx/77/i/93/3L/gv+S/6n/w//o/xcARgBjAFsAPQABANP/t//E/+v/EAAuACwAHgALAP7/9f/s/+T/3f/R/9P/2v/t//L//v/6//D/7f/m/+r/8v8DAA8AEgAWAA8ADQADAPT/3//L/8//7f8hAFUAcgBpAEQAFgD4/+r/6v/z/wEACgAUACEALQA/AE4ATQA+ABgA5f+y/5T/pP/U/xEAMAAnAAQA4//a/+X/+v/7//b/4//c/9r/4v/x//j/7f/N/7P/qP+1/9H/9f8VAC4AOAAtAA8A7f/Y/9T/3f/u////EwAhACsAMAAiAAEA1v+o/4X/gP+g/9H/AgAhACoAIQAWAAkA8f/Y/8T/v//Y/wEALQA9ACIA6/+t/4f/f/+S/7b/1P/l/+r/4P/X/9f/3P/t//z/AQD8//D/7f/q/+3/8P/p/9H/tP+n/6L/qf+r/6P/kP+J/5b/v//o/wIA+v/Z/7P/m/+f/6//vv+9/7P/qP+j/7L/w//U/9n/y//E/7z/wf+9/7T/mv+F/3r/iv+y/+T/DAAaABUA/v/m/9H/uv+r/6v/xP/h/wsALgA2ABwA8P/E/6r/p/+9/9v/+/8UACUAIQANAPX/2f/V/9f/6/8DAB0AMgA6AD8APAArAAoA4f/D/77/0v/+/zcAawCRAKgAqQCZAH0AWwBGADgASQBrAJwAxQDWAM4ArgCLAGcAUQBDADkALwAaAAcA+f/8////BQAJAAkACQD+//L/2f/I/8r/6f8TADQASwBJAEUAQQBEAEcAQAAlAAMA+v8UAEoAgwCjAJwAegA+AAcA3v/P/9r/7/8MABkAGwAPAAEA8v/k/9b/wf/D/9H/9v8WACsAGgAAAOP/z//a/+b/AgAQAC4AUQBvAJIAogC0ALEApgCTAHAAWAA9AEAATgBjAHMAeQB9AIEAeQBfACsA7P+//6z/wf/p/x4AQQBLADYACADR/6P/j/+U/7L/3P8KADUAYQCEAJMAhABSACAA/P8MADsAcwCRAJQAdABOACYA/v/o/9f/3//v/wAA/v/i/7P/jP90/3f/i/+q/8X/3P/t//r//v/3/+3/4P/W/8r/wP+3/8H/2P/7/xQAJwAtAC0AKgAmACoALwAoABgABwD8/wgAJwBNAGcAbwBgAD8ADQDZ/6L/gv98/5D/uv/v/xEAHgAHAOT/xP+6/7z/yv/p/woANwBWAGIAPgAOAN//1P/u/yAAOgBAAEAARQBcAF8APAD5/7f/of/E/w8AUQBlAEkAGwD3/+j/1//F/67/rP/D//b/HAAmAA8A8v/y/wkAFwACAND/o/+b/8X/CQA8AEMAHADw/9P/1f/a/9D/sf+P/43/r//i/wEA9P/H/5P/b/9l/2f/cP97/5j/uP/P/8z/nv9k/zP/Lf9c/6H/4v/+//P/3f/J/8T/vv+u/4r/fv+N/8L/AgAnAC4AIAASAAQA8v/X/7H/kv+L/6f/2P8GABsACwDg/7L/lf+C/4H/f/+E/5L/qv/I/9j/zP+u/4T/YP9S/13/ev+m/9n/CAAoADAAEQDb/5b/Y/9c/5D/6/9EAHEAZAA2AAoA7P/d/7//nP+C/4//yf8WAFsAdgBiADUACADl/8z/rv+L/3v/l//p/04AmwCqAIYAVwAsABIA9v/b/8b/1/8MAGAAsADGAJkAUAADAOD/8v8oAF0AfQCCAH8AewB7AHQAXQAzAAYA9f8IAD8AjADMAPEA6wDCAJQAZwBBABcA//8UAGEAygAkAT8BFwHGAHsATQA/ADsARABTAHsAwgANATsBIwHKAFMA8v/D/87/8f8SADAATQBoAG4AVAAdAOL/vP+k/6b/vf/y/zYAegCoALIAmABSAAIAvP+X/6X/z/8PAEkAcwCCAHEAQgD9/7X/ff9V/0f/Wv9//8D/AAA3AEMAHQDX/4r/Vv9D/1j/gv+1/9b/2//H/63/kv91/13/TP9S/2T/h/+u/83/5P/y//n/9f/t/9H/sP+R/4//q//X/wIAEgACANj/tv+h/5f/mf+k/7//2P/v/+//3v+7/5r/jv+M/5j/oP+t/8T/5f/0/+n/vP+K/3b/j//R/xYASgBXAEcAJgAUAAcA8f/W/7z/uv/H/+T/AAAfAEEAWwBpAF8ANgAIAOb/5/8MADsAYABfAFIAMQAXAP3//f8IAB4AOwBDAEIAKwATAP//9f/1//P/5f/i//X/FwA1ADAABADR/8H/2P8OAD8AUgBIADEAIQAbAB8ANQBEAEsASQBFAEMAPgA8ADoAQwBOAFAASAA/AD8ASABjAH8AngCyAMUAwgCqAH4AUwBCAEMATwBXAFgAXABkAGoAdQBrAF0ATwBbAHkAjgCDAFwAHgD1//H/CQAjAC8AIwARAPX/2v+8/5j/av9E/z//av+4/wwARQBSADIA9/+u/3X/Yv93/6j/3f8LADQATQBWAEEAFwDb/6f/lv+r/9X/AwApAEcAUgBAABgA5f/E/8X/7/8uAF4AZwA2AO3/sf+Y/5L/hv9k/0P/SP96/8//GQA2ACsACwDr/8j/rf+n/7P/0//6/xkAKwAtACQAFwADAP3/9P/g/8P/pv+i/7n/4//6/+//w/+P/2r/af+K/8H/7v8EAP3/9f/8/xcAIwAIAL3/bv9V/3f/z/8pAFwAXgBCACAAEAAAAOj/zP+3/9H/CQBGAFgAPAALAPP/9/8IAAAA4v/F/7X/vf/T/9z/vf+C/1D/Sf99/8b//P8MAAAA8f/3/xAAIgAqABYA///p/+b///8gADoANgAeAPv/7f/4/xMAIQAlACQAJgAvACcAEQDq/8v/wP/Q//D/+//v/9H/xP/T//H/9//R/5v/b/9x/6L/5P8RABQA+//i/+T/9P/y/9P/o/+C/4P/p//T/+z/6//V/8T/vP/B/87/3v/0/wAADQAUABEABwDw/9b/u/+s/67/vf/Z/+3//f////n/3/++/43/a/9W/2L/l//Q/wkAIAAmAB8AEAAYABoAGAABAOX/zf/J/+X/CAAuADkAMgAdAP3/2v+6/6j/tP/W//f/FQArADgAOAAlAAAAzv+u/6T/rf/R/wAAKgBDAD4AJwAGAPX/9f8BAA4AGgAwAD8AUABVAFEAPgAiAAYA8//o/+X/6P/p//n/CAAWABYACwAAAP7/BwAOAAkA/f/0//b/BgAXACEAJwAkAC0AMgA0AC0AEwDs/8j/vv/B/8r/yf/T//X/KwBIADMA8v+k/4X/s/8NAF8AgQB3AFUARgBQAG4AiwCSAIwAfABxAGcATgAiAOr/0//m/xUARQBMADUAHAAXACkAPABAACoACADk/8b/v//M/+f/AQAZACgAMQAwAB8A+P+7/4L/cv+N/9P/KQB+ALcAwgCiAF8AFQDX/8H/wP/W////NwB6AKAAmQBiABEAxf+Z/5b/pf/N//P/CAAFAO7/1v/A/8P/x//R/9H/y/+8/6L/m/+9//r/KQA0ABEA4P/A/7X/s/+v/7v/2f8RAFAAfQB5AEoADwDt//r/HwA4ADgAJAAgAD4AdACdAJAAVAAAAMn/zP/r/w4AKAA2AE0AYQBlAFcANAABAM//wv/K/+n/DgAoADwARgBPAE4ARQBAAEAAPgA6ADoAPgBHAFAAWgBcAEgAHQDp/8T/wP/Q//T/GQAuACQAEAD7//f/8v/l/9H/sv+q/67/0f/7/w4AAADI/3f/K/8C///+If9e/6L/3f/4/+//wf9z/yn/AP8P/0b/iP++/9P/0v/G/6n/gf9Z/0L/SP9v/6T/3v8CAAsA9v/f/9r/2//c/8//vf+7/9P//f8kADYANQAdAAIA9f/w//L/9P/p/+//AgAeAD0AWgBrAGUASQAfAOv/wv+5/8///P8pADwAMwAcABQAGAAeACIAHQATAA8AGgA2AFIAUQAxAAkA7v/i//D/+f8AAPL/1P/C/8T/0P/c/9f/xP+1/7j/zf/m/wUAHgA0AC4AGQDv/83/xf/S/+z/AAAdAD4AXABkAF0AOAANAOP/xP/C/9b/BQA7AGwAkgCjAJMAXQAQAMv/qf+j/8D/7f8vAGQAdABXABoAyv9//0r/Jf8q/1v/tf8fAHIAmwCOAFUAFgDn/9H/zv/i/w0ARgCRAMoA1gCxAGwALAAOABcAPQBrAIwApACtAK4AowCJAF4AJADu/9b/5/8XAEYAXQBLACAA+v/Y/8//zv/Y/+v/CQAfADMARABQAFwATQAnAOz/uv+r/8r/DABUAH8AiQBtAEoANwA2ADUAJgANAPb/8P/9/wUA/f/u/9v/1f/V/9z/4P/l//b/CAAeACIAHwAQAAcABwAPAB4AJAAeAB4AMABGAE8AQgAdAPH/4P/2/xkAKgAVAPH/z//V//j/KQA6ACQA+v/P/7H/p/+s/8P/6/8NACgAOQA0ACMABADl/8P/qv+b/5X/rf/p/0AAiwC1AJUAQgDq/63/pv/B/+v/CwAgACYAIwAOANr/nf99/47/yv8YAFoAewBtAEoAIAAIAPv/7//i/+f/BgBJAJgAxADDAI4AOgDm/6j/n//O/yEAYQB6AGUAOQAcAP3/5v/V/8T/tf+i/6n/0v8dAGMAhgBwAC8A8P/Q/9H/6P/y//D/3v/m/wgAPABwAH8AaAA7ABAA7P/e/+H/+/8hAEUAYABYADQABgDZ/77/v/+8/8H/wv/W/+7//////+T/x/+4/8D/0v/g/9r/vv+U/2j/U/9S/2H/d/+j/+H/HABHAEUADAC8/3r/Z/9//73//P8kAC4AIQD8/7//jv9l/3D/pf/m/xgAIQAFAO3/2P/F/6L/df9a/2b/qP/9/0QATgAfANn/n/+W/6v/w//T/+f/HABXAJEAngB7ADYA5f+5/73/5P8lAGoAlACkAJMAcQBDABYAAQD6/wYABADw/9H/yP/j/xsAUgBjAFUAMwAWAA8AEwAXAAgA9f/t//r/IwBEAE4APwAuADIATQBkAGoAVwA5AB0AAQD8//T/7//v/+//+f8JAAsA/v/u/9n/xP+y/6L/p//D/+z/CQAGANr/ov+B/3//oP/U////FwAWAA8ACQASAB8AIQAcABMABAD9/wQAFwAuAEIAQQAjAPP/0//T//D/EgAjACEACADu/9n/0//C/6b/h/99/6D/1/8DAAAA4f+8/6//w//X/9//yv+//9f/LQCUAMgApABCANf/tf/P/xIAQABLAFAAYgCBAI4AdQBEABwAGQA5AE8APAACAM//0f8KAEcAVAAaAMH/gv+D/8j/DQAdAPn/0/+5/7b/vv+5/7j/wv/Z//z/EQAIANr/u/+q/7v/2v/k/9v/0//S/9n/5f/v//j/AAAGAAgACwASABEACgDm/7z/lf+I/5j/v//e/+r/5//b/+L/AAAmAD8ANQAkACEAOgBZAGwAZQBoAHwAlwCoAI8AagBIAE8AYQBwAGMALAD7/+X/BAA5AFYARQAjABgANgBpAIgAdwBMABgAAwD3/wYAJgA8AFkAdACQAJ0AhwBSABYABgAWADsAVABlAGsAdwCKAKUAwADIAKoAdQArAAUADgAuAEUASAA1ACEAFgAYABYAEQD2/9j/xP/D/9r/7v///wYACwAVABcAAgDo/+v/IgB7AMYA1wClAEoA9f/K/9b//f8sAD0APgBJAGoAiQCMAHIAOAADAM7/t/++/+H/DgAgACIAEgD6/+D/yv+3/6j/tv/N/+n/BQAGAPL/x/+Y/3b/cf+R/8T/8v8kAEwAWABAAAkAw/+Q/47/tP/w/yMANgAyACAAGgAhACMAEQDo/7n/nf+j/83/9/8bACIAAwDe/7T/oP+n/8X/6f8LACUAKAAZAPX/zP+k/3v/Yv9T/2P/jf/M/wwALAAqAPH/l/9A/xf/Hv9W/5//3P8CAA8ABwD4/+H/t/+G/1X/Pf9I/3j/wv8CAC8AJQAGANL/rf+e/5//nv+Y/5b/pP/F/+z/EQAfABgA9f/G/57/hf+K/57/xf/t/w0AIwAdAAAA0f+Z/3D/YP9z/57/3P8VADgAMwAIAL3/cv87/yz/UP+V/9z/CwALAOT/qP94/1X/Qv8//0f/av+o/wgAZwCqALQAjABOABUACAAVADsAawCZAMgA3ADfALsAfAA8AAUA7P/k//j/GgBIAG0AggB5AFIAEwDX/7z/1P8JAEIAbQB0AGAAPwAkAP7/2/+8/7X/4f8eAG8ArwDAAJ0AVAAVAPT/DQA8AGYAfwB8AHMAZgBYAEgALwAeAA8ACQAMABEAGAAcACcAMwA4ADEAIQAIAPb/8P/n/97/0P/L/9f/AgA1AEoAPQAQAOP/y//b////IgBGAGAAdAB/AHAAVQAwAAcA2v/H/9L/8v8lAFUAfgCOAH0AUAAXAPH/3v/a/+X/+P8RACcAOwA+ADEAGQD2/9L/sP+Y/5L/oP+9/97/9f/x/9b/uP+w/8D/4f/z//n/+P/4/wAABwD6/9n/t/+g/7D/0v/5/woAAAD4/+//1//F/7z/z/8EAEsAdAByADgA8f/C/7L/vv/R/+v/AQAdADkAQQA4AAEAtv+D/3j/mv/b/x8AXwCGAI8AdAA3APf/0//U/+n///8HABEAHwA7AFoAVgA1APn/yf++/8//8v8XADAARQBTAEsALgD+/8z/tv/J//3/NQBVAFsAUgBLAD0AHwDk/6H/gP+Q/9H/FABPAGgAYQBRAEEAMQAdAAgA7f/u/wQAKABOAGgAcQBxAGQATwA2ABoABgD0//H///8jAE0AbQBqADsA8f+y/6P/xP/8/zEAQwA6ACYAFQALAPz/4v+3/5D/f/+M/5//pf+j/57/p/+2/73/rv+M/3L/eP+e/9L/7P/o/9n/yf/O/9j/2f/M/7T/oP+k/73/4f/3//b/4v/P/9D/4v/+/xMAKAAtACQACgDs/9X/0f/g//b/DgAcACIAEwD8/+T/3f/n//f/CQANAPT/1v+3/7D/uf/K/9H/0f/H/8//4//x//H/3v/O/8T/v//D/77/qf+V/5L/n/+6/8P/tP+T/3f/dv+V/8T/5f/u//D/BgAfADoANAAOANT/qP+o/8X//f8hADUANQApABoABADp/8//xv/U//L/HgA/AE4ATQBQAEkAOQAPANH/oP+S/8L/DwBiAI4AhABSAA4Axv+N/3n/h/+6//3/QABdAFsAPgAaAPz/8//5//j/+P8GACoAWQCFAI4AdABPACwAFQAKAP//9//y/wIAIwBBAFEASwAzABwACwD7/+P/yP+0/7//6v8cADsAJwD7/9H/x//a////HgAgABkAFwAmADsASgBHADEAIgATAAEA8//r//X/FAA7AF0AWAA1AP//3P/R/9T/2//L/77/u//Q/+f/8//k/7f/l/94/3b/iP+g/7T/w//D/7f/ov+R/4v/k/+x/8T/z//I/8H/vP/C/8b/tP+g/5X/nf+8/9z/7v/g/77/pv+g/7v/4/8JABMAAQDW/6//mv+Q/5j/tf/f/w4ALQBDAD4AJQD//9n/vP+z/8P/6P8rAG8AmwCVAGgAJgDv/9n/5f8HACUAJwAhACUAPABVAGAASgAbAOD/wP/E/+v/IQBSAHIAegBoAFEAOwA7AFUAcwCTAKsAwQDOANUAxACdAGAALwAjAD4AgwC8AOsA7gDYALcAiQBgAEUANgA4AEkAYAByAIIAkwCqALUAqgCAAE4AHQAIABEALABGAFYAVQBaAGAAYABXAD0AGQAGAA0ALgBLAF8AWQA9ACcAHgAZABsAJAArADUANgA4ADcAPABFAE0ATwBHADYAGwAFAP3//f/+//r/9P/s/+3/6//p/+D/1f/L/8X/y//S/9D/wv+t/53/m/+o/7L/t/+0/7P/vP/T/+j/9v/z/+j/5f/p//z/EAAfACYAJgAoABwADQD1/+T/5//t//v////+//b/9P/9/w0AEAAEAOb/0P/b//j/HgAnAAwA5P/E/8f/5v8EACUANgA8ADUALQAhAA0A9f/m/+r/9/8XADkATwBQAEEAHwAEAOr/1P/C/7j/r/+2/8f/3v/2////8P/Z/7z/ov+S/5D/mP+p/8X/3//m/9r/vP+f/43/kf+y/9r/+/8IAAYA9v/e/77/pP+Q/4//of+7/9b/4f/m/+D/2P/H/7H/m/+D/2//af92/5H/uf/b//T/AgD///H/6//e/9P/xv/C/8z/4/8OADsAVQBVADsAEADn/8z/yv/c//f/EgAdABgADwADAPT/3//A/5z/ff97/4z/sf/Y//T////w/9X/tv+U/3j/a/93/5T/xP/0/xkAJgAVAO//xf+h/5H/nv/D//n/KwBFAD0AGwD0/9j/xv/E/8r/1P/g/+//8//w/+n/2v/S/8j/y//T/+P/+/8IAAcA+v/k/8b/rf+r/7j/zv/o//z/DAATAA0ADAAFAAEABAALABkAIQAjACAAEwAOABUALwBPAG0AegBtAFAAJwAGAPD/7f/7/xQAOwBZAG0AbgBYADsAGgAHAAUAFgAvAEQAVgBgAGEATgAxAAkA8f/y/wsAMQBSAF4AWwBJADcALQAiABYAHwAsAFEAdwCQAIMAWQAgAPH/2P/g//D/AQAKABIAGgAhACIADgDy/9L/vf+5/8T/0v/g/+j/8v/7/wYABAD///L/3//a/9b/3P/l//H/9v/8//z/8//s/+r/8P/0//3/9v/0//X/BgAYACwAMgAsAB8AEAAIAPj/5P/J/7j/uf/M/+r/AAAJAP//9//v//D/9/8HAB8ANgBSAGMAYABLAC4AFwASABEAHAAvAEUAWwByAHsAXAAsAPX/0v/W//f/FgAuADUAMAAoABoA///e/8D/vf/d/xUARgBbAFAAOgAlAB4AIQAgABwAFwAdADAAOwA+ADQAHwAVABwAJgAwADUAOgA+AEkATwBKADcAHAANABEAFAAUAAgA9P/q/+v/AQATABYABQDl/83/x//P/9b/1v/d/+z/BgAmADgALwARAO//1//c//L/EQAmADYAQwBLAFAATgBAACoAFwALAA0AIQAyAEEARwBCADgAJAAEAOX/1P/R/93/8f8IABQAGgAeACQAKwAsACQAGgAeADEATgBmAGwAVwA1ABUABwABAP7//v8BAAwAIQA3AEEANgAfAAcA+v/1//f/7//s/+//7f/v/+v/3v/K/7b/rP+l/6D/l/+W/5z/sv/K/9j/3f/U/87/zP/X/+T/9/8DAAoADQAQABIAHQAhACEAFwAJAAAA+v/+/wUACQAIAAEA9//s/9n/x/+5/7r/u//D/8n/yv+8/6r/m/+O/4T/hv+S/6n/u//L/9D/zP/C/7b/r/+s/6z/qP+s/7b/xv/f/+//5//K/6P/f/9w/4H/qf/V//b//f/0/9X/tP+g/57/qf+1/7n/sf+t/6z/tv/E/8//1P/O/8X/wP/H/9T/4//x//X/7f/d/8//yf/P/9z/8P/7//r/8P/k/9b/0//P/9H/0v/M/8D/vP+9/83/6P8KACgANAAtABoABgACAA0AHQAvAD0ARQBJAEUARQBHAEYAPwA6AC8AKQAoACgAMQBBAE0AVgBSAEMAKwAaABMAFQAjAC4AMQAnABYA+v/v//H/AQAZACQAJQAWAAQA9//2////FAAnADUARABGAEsARQBEAD8AOgA5ADcAPgBMAFoAZABdAE4AOQAhABoAGQAuAD0AVABXAE0APwAnABEACgALABUAHwArAC4ALwAmABgABgDy/+v/8f8FABoALgA2ADcAJwAYAA8ACgAIAAoAAwAAAP//AQASACgAPABIAD0AJAACAOb/3//m//n/CAAQAAoA+v/q/+L/5v/o//D/6//p/97/1v/a/+b/6v/q/+H/zv/C/7//y//j////FgAeABEAAQDr/9b/0P/Y/+7/BAAWACAAKAAjABQABQD1/+j/5f/x/wkAIgA5AEAALgAaAAAA6//k/+j/9v8JABYAGwAXAAQA6//Q/8D/uP+6/8j/1f/i/+L/2P/F/7D/nv+X/5X/ov+t/7b/wP++/7r/sv+p/6H/mP+X/5n/of+s/7r/w//F/7v/r/+g/57/of+y/8X/1P/Y/8//xf+4/63/rP+u/7b/wv/Q/97/4v/j/9f/xv+8/7j/wv/S/+b/9f/9/wIA+P/0/+j/5P/t/wAAEAAfACsAKwAqACgAIwAbAAcA9f/m/+n/8/8IACIANgBKAFIATQA5ACIAEgANABgAMQBLAGIAcABwAGIASQAuABQACQAUAC8AUgBrAH4AfgBwAFwAQwAtABwAHQAuAE8AdACSAKIAoQCPAHQATwAvABYAEwAiAEEAWgBlAGUAVQA/ACIACwD4/+v/9/8VAEEAXwBuAGEASAArABAAAwADABEAJABBAFcAZQBhAFIAPgApAB4AGwAfACEAKwA2AEYASwBGADQAHgASAAkADwAbACkAMgA2ADQAKwAdABIACwAFAAMA9//z//D/9P/9////9v/r/97/1P/X/97/5f/u/+3/5//g/9r/0P/L/8r/yf/V/9v/4f/i/9//1P/M/8T/tP+r/6H/mv+Z/5r/nv+i/6D/mv+P/4r/iv+P/5z/p/+0/7v/vv+7/7T/rP+e/5T/k/+e/7P/yv/d/+T/3//W/8v/vf+y/6v/r/+4/8j/2v/l/+r/8f/w/+3/7P/y//L/9////wkADgAUABUAEQAPAAsACAAHAAwAGgAjACYAIgAcABIADQAJAAsAEgATABYAFQAcACIAKgAtACkAIwAcABYAEgATABEAEwASABYAGwAaABAABgD8//X/7v/w/+7/8v/+/wwAIQAoACsAIgAXAAwABwAVACkAPABFAEsARgBDADcANAAzADoASQBaAGsAcwBsAGAATAA7ACwAKAAuADkARwBQAFEARQA1ACQAEwAKAAsABgAHAAQA/v/z/+j/3f/S/8//z//Q/9P/1//d/9//4//n/+f/4//g/+L/5P/u//D/9P/5//v/AQAFAAwAEAAJAPr/5v/T/8T/v//H/8//3P/f/93/zP+6/6j/nf+d/6v/uP/F/8z/zP/G/8L/vv+9/7z/v//L/9H/3P/h/+T/5f/j/+T/5P/r//X/AQAJAA8AEAARABEAFAAZACEAJwAxADcAPQBEAEcAQwBDAEIAQwBDAEQANwAxACoAIgAhAB4AHwAjACUAJwAkAB4AEwAMAAkADgASAA8ACAD9//P/7//1//7/CgAYAB8AJgAiABkACwD6//P/6//x//H//P8AAAEA///3//f/7//0//P/+P8EABEAGgAaABUACQADAPz//////wQABwAHAAYA/P/x/+L/2f/U/9T/2f/d/97/4P/f/+X/7f/5/wQADgAQAA8ADgAOAA4ADwAVABIADAAAAO//2//Q/83/0P/d/+f/7P/s/+z/6P/q/+v/6//r/+b/5P/l/+v/8v/7/wIAAgD7/+v/2//S/9X/5P/6/wwAGQAbABkAFQAUABoAIgAqAC8AMAAtACwALwAnAB0AEgABAPD/4v/h/+P/7P/z//X/7v/i/9L/yv/I/87/2v/j/+r/7v/y//H/8//w//D/8v/1//7/CQAVAB4AIQAiACEAIAAjAB8AJwAiACQAHAAWAAsAAwD7//H/6//i/9v/0f/P/9T/2f/j/+H/5P/h/+P/6v/v//n//f/8//r/9v/0/+//9P/3//n//P/y/+r/6f/r//D/9f/5//T/7v/o/+b/5//u//P/+////wIABwAIAAcABAD9//z/9v/8//j//f/7//j/9v/r/+D/3//b/9v/3P/j/+b/6f/t/+3/8P/t/+//7P/s//D/9P/+/wsAEAAPAAEA7P/Z/8z/xv/P/+D/8f/9/wUA/v/5//X/9v/8/wYAEgAlADgARgBPAE8ARQA0ACcAGwAYABsAJQAsADEALwAkABMACgAGAAgAFgAmADYAQgBJAEkAQgBDADsAPQA7AEIATABOAEYAPQA1AC0ALAAtAC8AMgAxACgAHAAVAAsADwAbAC0APgBDAEEANwAqACIAHwAoADMAQwBMAEsARgA0ACQAFwASABQAGAAlAC8ANwA6ADYALwAlACEAHgAoADUAQgBTAF4AXgBWAEoAPgA1ADAAMQA2ADwAPQA9ADUALAAgABsAGQAeACYALQA1ADgANAAsACkAIAAeAB8AHgAdABwAFQAUAA8AEAARABEADwANAAcAAQD//wEACQASAB4AIQAkABwAFgAOAAMA/v/0//P/7//w/+v/5P/b/9j/zP/F/8X/x//U/9//6v/v//H/6f/k/97/3//m//T/BwASABkAFgAMAP3/9P/s/+7/8f/7/wAAAAD8//j/8f/s/+r/6v/p/+n/6f/m/+X/4//j/+H/2f/T/87/zP/L/9L/2f/h/+n/5f/j/9j/zP/G/8b/y//R/9r/3//j/9//1v/N/8L/u/+0/6z/qP+p/6f/rP+x/7n/vf+2/63/n/+U/5L/l/+p/7v/yv/L/8b/tv+m/5n/nP+q/7r/zv/Y/97/1//K/8H/t/+3/8H/0f/h/+v/8f/v/+r/4//e/9f/2f/c/+b/7P/1//r/AAAEAAgACwAQABQAFwAkAC0ANAA6ADkANAAtACMAIgAfAB8AIAAcABIABQD4/+3/6f/o/+r/7//4//z/AgD9//r/8P/u//P/9f/9/wMABQADAPj/6//c/8//y//R/9b/3f/l/+j/5//g/9z/3P/e/+b/8P/4//3/+v/3/+z/4//b/9P/zP/C/7r/r/+r/6b/n/+e/5z/m/+W/5T/lP+Y/6H/qf+4/8j/1v/e/+D/4v/h/+D/4f/k/+7/9v/+//7/+//0/+j/3P/T/9D/0v/a/+H/5v/m/+b/4//f/9j/2f/Y/9f/3//j//D/9/8EAAMAAQD9//v/+//+/wcAEgAgAC4AOwBEAEcASQBLAFIAWQBjAGsAbwB3AIAAfgB+AHcAbQBlAGMAYQBkAGUAZABlAF0AVABMAEcASwBQAFMAWgBdAGEAXgBdAFkAVwBVAFgAWwBcAFsAWQBaAFEASwBCADkAMgAsACsAJwAqACkAKQArACgAJQAiACEAJQApAC4ANgA7ADsANwAxACkAIAAeAB8AIwAjACMAHwASAAYA+v/z/+7/6v/t/+3/6//o/+T/4P/e/9v/3P/c/97/3f/c/9n/1//T/8//yf/A/77/uv++/8f/zv/V/9z/2//Z/9b/1f/e/+n/+P8FAA0AEwAVABEAEgATABYAGwAeACEAIgAgAB0AGgAVAA0AAwD7//b/8v/z//T/9P/y/+7/6v/h/97/3v/g/+P/5//q/+3/7//y//b/+f8AAAQACwATABoAIQAmAC0ALwAvAC8ALQAvACsALwAwADQANwA2ADAAKQAgABYAEAANAA0ACwAPAA8ADgAMAAoACAAJAAoADQAUABoAHgAdABoAGAAOAAUA///8//r/+v/7//z/+P/0//D/6v/m/+H/5P/p//D/+/8DAAcACQAJAAgABwAFAAsADQAOAAsABgADAP3/9f/r/+H/3P/V/9b/2f/h/+X/6f/q/+r/6P/m/+n/7//1//z/AgABAP//9//t/+H/1//R/8z/yP/G/77/u/+0/67/rP+r/6z/sf+7/8f/0//i/+z/9f/5//3//f8AAAIACAANAA8ADwAKAAEA+P/r/+D/2P/X/9P/0//U/9X/1//T/83/x//G/8L/w//N/9T/3v/i/+b/5P/g/9n/2P/X/93/5P/r/+7/8P/x/+7/7P/q/+n/7P/v//H/9f/3//n/+P/3//X/8P/v/+v/8P/x//T/9//4//j/9f/1/+//8f/w//j/+f/6//z/9f/0//X/8f/w//H/8f/y//H/8v/x//H/8//1//P/9v/4////CQASABcAGwAfABwAHAAfAB4AIgAiACQAIQAfAB0AFQAQAAoACAAFAAcACQAJAAgABAACAAMABAAGAAkADwAVABsAIAAmACcAKQAqAC0ALwAxADUAOgA3ADgANgA2ADUALwAwADAALQAsACoAJwAlACAAHgAbABcAFgATABUAFQAXABoAGgAdACEAIwAmACcAKwAtADMAMwA1ADIALQApAC0AKQAmACYAJAAhACEAHwAdABwAHQAdACAAJAApAC4ANAA6AD0AQABCAD8APAA6ADcANAAwAC8AKQAjABkAEQAKAAQAAAD+//z//v/6//3///8EAAUADAAMABEAFQAaAB4AIgAmACcAKgAnACMAHAAZABYAFAASABAADAAMAAkAAgABAP//AQADAAcACgANAA8AEgATABEADwAKAAkAAgD///z/9v/1//L/6//r/+b/4v/h/+L/4//l/+f/7P/z//j//f8FAAkADAAMAAsADQAPABEAEwASABUAEQARAAwACAAHAAUAAgABAPz/+//5//3//////////P////7/AQAEAAYACQAKAAoACwAMAA4ACwANAAwADAAJAAcACAAHAAgACgAJAAcACgALAAoACQAJAAsADAANAAsACwALAAkACAAHAAUAAAD///7/+//4//P/8P/u/+v/6f/q/+f/6P/j/+T/4//j/97/4P/f/+D/3v/e/97/3f/d/93/3P/a/9n/2P/Y/9T/0v/Q/8//yv/M/8n/xf/C/8b/w//B/8H/wf/C/8L/xP/D/8P/w//D/8P/xf/D/8X/w//D/8P/xP/B/8L/w//D/8P/xP/E/8T/x//H/8r/yP/J/8n/yP/J/8r/yv/K/8r/x//K/8z/zf/Q/9D/0f/Q/9H/0v/U/9T/1f/W/9b/1//Z/9z/3f/i/+H/5f/j/+f/7f/x//H/+P/7//z/AAACAAQABgAJAAoACgAMAA4ADwAQABEAFAATABUAFQAVABcAGQAZABgAGwAdAB8AIgAjACIAJQAnACkAKgAtAC4AMQAyADQANgA3ADcANwA6ADkAOQA4ADsAOwA7ADoAOAA8ADoAPAA7ADsAOQA5ADoAOQA6ADoAOgA6ADsAOgA5ADgAOAA4ADkAOAA5ADgANQA3ADgAOAA4ADoAOwA7ADsAPQA9AD0APQA8ADwAPAA/AD8APgA8AD4APQA6ADgANwA2ADgANwA3ADYAMwAyADQAMQAwADAALQAuAC4ALAAqACoAKwApACcAJgAkACIAIgAgAB8AHAAaABkAFgAVABMADgAMAA0ADQAMAAcABAACAAAA//////n/9//z//H/7v/s/+b/5P/j/+D/3f/b/9r/1//W/9P/0//R/9H/zf/K/8n/xf/E/8P/wf/B/7//vP+6/7r/tv+2/7L/r/+t/6//q/+q/6j/pf+h/6H/nv+e/5z/mf+Y/5n/lv+T/5H/j/+O/4v/h/+G/4b/g/+E/4H/f/98/3v/ev96/3n/d/92/3T/cf9w/27/a/9q/2f/Z/9l/2X/ZP9l/2P/X/9h/2H/X/9f/1//Yv9g/13/Xf9d/1//Xv9h/2L/Yv9i/2H/ZP9k/2X/Z/9o/2r/a/9t/3D/cP90/3f/eP94/33/fP9+/4L/hP+I/4n/jP+O/5L/k/+X/5r/nP+g/6T/pv+p/6r/rv+x/7T/t/+8/7//xP/H/8j/zP/O/9L/0//Z/9z/3P/i/+f/6f/s//D/8//3//v//v8DAAcACwANABEAEwAYABsAIAAlACsALgAxADYAOQA9AEEAQwBIAE0AUQBWAFkAXwBhAGcAbABwAHIAdwB7AH0AhACGAIkAjwCPAJMAlQCYAJsAngCgAKQApgCpAKkArACsAK0ArwCvALEAsgCyALIAtQC2ALMAtQC1ALYAuQC4ALgAuAC3ALcAtQC2ALQAtgCzALEAsACxALAAsQCwALAAsQCvAK8ArgCtAKsAqwCsAKwAqgCpAKkApgCmAKcApgCkAKUApACkAKMAoAChAKEAnwCfAJ4AngCfAJ8AngCcAJwAmwCaAJsAnACbAJgAmQCZAJgAlgCVAJQAlACSAJAAkACNAI8AjgCMAIwAiwCKAIoAiACFAIMAgwCCAIEAfgB7AHwAfQB9AHoAeAB2AHUAdwB2AHEAcABtAGwAawBqAGcAZgBnAGcAZABiAGEAXwBcAFoAVgBVAFUAVABRAE8ASQBHAEYARwBFAEEAQABAAD8APAA5ADgANwA0ADIALQArACkAJgAiACEAHAAZABgAFQATABAACgAHAAUAAgAAAPv/+P/z//H/7v/r/+f/5P/h/93/2P/X/9b/0f/Q/8v/w//A/7//uf+5/7b/sv+v/63/qf+l/6H/n/+c/5r/lP+T/4//jf+M/4j/hf+D/4H/f/99/3r/d/91/3T/c/90/3D/b/9s/2r/bf9q/2n/Zv9n/2L/Xv9e/1z/WP9X/1T/UP9Q/03/Tv9O/0r/Sv9J/0n/R/9J/0n/SP9I/0n/R/9H/0b/Sf9J/0v/SP9J/0r/TP9N/03/S/9M/0j/S/9L/0z/TP9M/0v/Sv9L/0z/S/9N/07/Tv9P/0//T/9T/1T/Vv9a/1r/W/9d/1z/Xf9e/2D/Yf9h/1//Xf9e/2H/Y/9i/2H/Y/9l/2T/ZP9o/2n/aP9p/23/bf9v/3D/cf90/3f/d/94/37/gf+F/4b/h/+K/4v/iv+M/4v/jP+N/4//kP+T/5T/k/+S/5P/lP+X/5j/mv+c/5//pv+n/6j/q/+t/7D/s/+3/7n/u/+//8D/w//F/8b/yP/M/83/zP/Q/9L/1P/X/9r/2f/a/9v/2//a/9v/3f/d/9//4f/i/+T/6f/p/+v/7f/y//P/9v/2//z//f8BAAIAAQAEAAgACQALAA4AEQARABIAFAAVABoAGwAeACAAJAAlACcAKAAnACYAJwApACkAKgAsAC8AMQAyADMALgArACwAKAArACgAKQAnACoAJQAlACEAHQAdAB8AHwAfAB8AIAAiACgAJwAtADAANgA6AD8ARABHAEsAUABWAFoAXwBkAGcAawBwAHQAdgB3AHYAeAB3AHcAeQB8AHwAdwB6AHcAcgBvAGsAaABpAGsAbQBtAGsAagBnAGYAYgBjAGQAaQBtAHAAdQByAHMAcgBvAG8AagBxAHIAfAB/AHoAegBvAG0AZQBiAGIAYgBhAGAAWgBVAE4ARAA/ADoAPQA6AD8APQA2ADIAJgAmACUAJQAwACsAMwAsACgAIgAZABsAGQAfACAAIQAjAB0AHQAZABMAEgATABUAFgAWABgAIAAfACUAIQAiACkAJwAtADAAOABCAEUAUQBNAFIATQBLAFIAUgBcAF8AYgBoAGEAWwBRAEoASABEAEgASgBJAEUAQAA3AC4AKQAlACMAJgAnAC8ALQAvADAAKQAxADEAOwBDAEUATgBJAFEAVABcAG0AaQB6AHYAfAB6AHUAfQB7AIcAiQCSAI0AhgCFAHgAewBxAHIAbwBkAGYAWQBUAE4ARABHADgAMAAoABMAEwACAA8AEAAMABYABAAHAPf/7//3//T/BAAEABMAEwARAAwAAwABAAQACgARACAAIgAkACQAHQAZABMAEAAMAAkABgAFAAIAAAD0//L/4//k/9b/0v/P/8n/y//C/8b/vP+3/6//p/+o/6f/qP+w/7L/tf+3/7L/tf+w/7b/uf+6/8f/x//W/9n/3//p/9//5//e/+X/5//p//P/9P/9//v//v/x//T/7v/w//f/7/8DAP3///8FAPL////r/+//+f/o/wIA9v/+/wUA9/8KAPz//P8NAPr/FgAOABIAMQAWAEUALgBAAFUAPQBxAGAAdwCUAIwAwACrAL4AxwC7AOYA1QABAf0A/QAKAeQA9gDTANoA2ADIAM4ArACkAIEAWABKABsAFQD5/+n/4v+r/6z/cf9Y/z//Ef8d//H+/v7r/tr+7P7O/tn+0/7Q/uL+1P73/vv+EP82/zz/YP9i/3P/gP98/6H/pv/D/9//6P/5//f/8f/u/97/3//s/+H/AADl/+f/1v+w/8P/jf+x/5j/ov+y/4//p/+Q/5//qv+4/9b/5//w/wcACQAqAEcAbACoALcA7gDjAP8A/QATATcBTgGWAZABxgGaAZsBiAFdAYoBVAGFAWgBUQFGAfoA9QCsAKwAjQBkAEoABwDd/6D/mf9//4j/dP9O/yv/1/7L/o3+l/6n/pr+4P6q/rf+W/4Q/gn+0f0T/gr+/P0P/rj9xv2K/Ur9Tv3T/PP8kPyO/FD8DfwR/Nj7G/zN+6/7+Pp0+vn51/lN+pD6S/t++8L7v/tc+zL72vpU+w/8Vf2g/mX/CgD+/2UAcQAcAbYBWQJ/A/QDKQVPBc0F9gXCBXMGOwbZBpsGhgapBlEGvQZiBjIGoQXtBH8EAgSwA28D9QK+AlIC1gFwAYYALQB5/5r/i/+s/7r/cP+T/1n/0v/J/zUASgCXAAEBQAHSAegBUgJ4Au0CFwMzAzID6QIhAxUDlQObA4IDTAOYAlgCxgGSAWIBLQFcATMBJgGxAPv/gP/k/uX+xv7S/tr+p/7H/q7+zP69/p7+jf5w/pL+pP6j/uT+3v5I/4r/oP/d/4D/gP9z/4r//v8RAIAAnAC7ANYA3ADRANsAwQC1ALQAjgC9AF0AVAD//+D/5v+i/47/y/5m/rz9jf10/V79X/3+/Nb8ffwR/Kn7AfvV+sr6avvG+yf8IPzV+yX81PuI/Fj8p/wa/Y393f6E/00ArQC4ACsBcwGDAUECPQKcA8wEtwUhB5AGqAYMBowFDwa8BVYGeAa2BhcHygZDBigFPAR3AxsD1AJKAuYBEgH6AGEAFQCb/2n+NP4G/QP9afz7+yH83Puj/I/8xPxh/Af8Afwd/L/8L/3Z/Uf+yf4k/23/pv+N/wMANwDRACIBIwFJAe0AHwHQAMMAcQDl/5j/9/6//hj+uv0R/a78Ffx8+9z66Plw+aL4hfg2+CH4Avi296P3XPdy90D3k/en9xn4k/jI+G75dvnr+Wv6vfq2++n7vfwa/W79U/5G/l3/Xv/e/5wAcQCMAWkB+wF1AooCPQNRA4gDigO0A7YDNgRnBOEE7QT1BAsFigTvBCcEYwQ8BAgEgQQsBDYE7ANmAycD5QJmAqoCMwKAArcCwwIrAx0D7AINA9MCAwMdAxkDoQMyA18EywPNBIsEtQQjBa0EpAUgBbcFXgXnBZYFUAbnBewFtQUXBRQFggSZBKQD5gMbA1YDSwPRAtcC4AF+AbcADQCO/yb/Kf89/7H/sv+R/0v/G//2/k//Xv+L/9j/+P/KAEoBSgKjAigDUwNJA3IDWwNyA6IDiwTyBBQGQAb7BTEG9QQZBWwELgOJA78BPwLPAU8BpQE1ALkA3P6x/uX8vfrz+bL4hPjz+Sf5D/mG+AL1zvXY8W/yPPHw8MryzfJI9F3zGPMY8b7xkvBC8oPxQvI18tXx5PN08s/0xPM79eb1bvaf99f2kvdC+P/5K/ym/rT+MQDQ/xwAGQJdAmkEyAVYBqkIrAiACbAJkQmGClUMoQ2qDroPuQ7PDx4QixJHExgV6xTmE8YUqRGGEhMQaRAkETIRmBIWEQcPjgzmCS0IuQc2Bv8FawRPBOkCDgLdAK/+ef6U/Kr9PPzv+5L7Z/q++x/8Cv08/fD9J/3t/Sv+Mv5g/4v/cgELAisEqgP0A7QDNgOfBGYDrQUGBJMEtQTLAsADpgFnAUAAdf/k/rb9QvwA+1X58fe793j1cPWj8w7zNfJD8Rvxse+y75Pu2e5h7kHvNe9w74vwefBY8aDwR/EF8ZPx5/Jz86X0gvV49Uf2t/Y19/L3T/eY+Nj3k/hR+Ib3VfiY9+P4kvj++Cv4xffI9gD2vPYT9Xb25fUT9jX3xPWI9qP1FvY296D3L/nF+dj6M/yC/fn/igDyAeoDJAQECCYIWwoXDO4M7w9vEEMTjBNtFLEWIhaSGL0Z3xgfHbAceh82IRcfRCATHEkc2Bp6GN0Zchd2GDQZaha2FqURIA7eC7MGagf5A78CFwJfANr/zf2W+x75gPej9Q31zvLm8hDx7/GU8k/zu/V/9E72s/U29nX2IvbW9gj4KPpQ/BL+5/67/7f/RwAWALsArQDXAN8BwwFPArgBvQCuAHH/ZP/c/mL9n/0V/CL8f/sX+rz50vfY9tX1QPSp85TyQ/L58dLxPvJw8W/x9fAF8anw1/Ca8KTwo/CQ8PDwovDr8bTx3vIb85fz9PNt8wf0wPNU9CH1afUY9lT2z/Y398L2Fvi091v4evkl+f/6vfpr/GP9zP13AKz/MQLWAQIDywQHBIsH9gZWCbEKgwt8DeINTxCzEeASqRXoFX8Xxxi4GBkbfho/HT0d/R3UH/EeZR8vH6MeAx6RHeEb0BoFGR4YghZEFY4UpBKEEW8PlA0WC+4IEwcvBUAEpQNfAQ4BCv+i/ZP8ivr3+dn3hvjz9nr3svey9iL43vbd97L3/fZ798D22/bu9xz43fi3+Uf6IftT+137Dvv/+h36U/qp+eH53fnG+Lv50/iE+RL5Nfim+Nr2nfbH9YD01/Q489jzzfMm8zj0JvJx8kXyHPEi8j3xfPHA8dXwBvJF8QvyJfK58SnzHvK78jzy1/Fy8kHyavNf9J/0zPVZ9bX1WfYf9ef1sPXX9RP3ePY2+Hz4SPnV+Sr6u/td++H8xPzC/Vz/yv98AUwD6gP/BUsG+gdmCAcJRAoxClENxA3vD5ARfBOGFCgWuxYQGKAZrhhrGmgbExztHCkeyR1DH9AfbR5THmQdWRzZGusZ7hi6GDwXxBWDFXwUCxP3EFcPDg0NC54I2AUDBSsDkAE6ATMAsP9d/mn8PPuY+Ub5xvZg9ov2j/Ut9+f0UvaF9on1cfYP9UH2SPUb9Wj1GvU69wb3UPdV+Xz4a/nX+Ov3IfhY9w34tfco+F/40/h++MX3cvcd9zz20/U49en0qPQI82PzNfMg8ynzYfOj8s3y+/FE8Rvxm/Ba8RLx4vGH8oryaPKP8hLz+fNq8yf0CfR09PD0YfRq9kj2I/c9+Dv5K/p4+U762/nY+Sv7vvrI+4L7cfy+/UL9aP73/14ABAGvAZ8CyAI8AY8CawOYBLIEHQbeB78H7QgbCZwJYQqgCpsLnAwXDfEObg6ID6gRIRNLE6MU2BXpFaAWhhWlFmQXCBgIGBMaRhodGtgaOxm0GLgZthfcFTwW8RR/FUgRyw+eEfMPww1nC0MLlwrhBa8EBwN2At0AHv+l/8T7gv9f+9T2CvhZ9+33h/KS9Z7z7POv9MfxkvRJ8nHzbfE285Ly+vFR8qDxIvSk8kjzivQt9ILyzfRu9UH0wvMp9Zv0IfVV9fjzjfQ89bn0zvQQ9bX0xPRZ83zz5PMg85/z5fKy8rrzrPNh8+/yJfQu9HHz5PT09R31hfXO9cv1i/b99pL3Efgd+Vz5PvoD+1v7SPxh/EL9Dv8C/zn/QAApAF0BWwI5AjQC7wJSA8cD/wO5AzoEQQTTBGkFLgbQBTAG0wZ5BvsHoAhLCJAIfgneCT4K6goaC+ALZguzDP8NmQ2TDYAOyQ7eD9kQ6BAZEZQRgxLzEnUTzBK7Ew0UOxTFFGcTqhQOFIsTJBTWEykT7xFIEhcSEA9LD+wPxA0bDD8MUgxRBzEH5wUOBY0C0gLuAyn7HgESAJb7Y/oV/a/5we8l/Sv3K+8k+aXw3u1S+V/wVeyY97HxZ+1H8cjvx+4P86DsEO239RvtQu6/+JntoOoD+O70Wuk08RL2T+928czvsfEE+XPwsO9G+r707e3j9rT3Q/A584n1HfU09qfyPvaS+XHz9/TA+JL2MfW99pT35fat9gL4pfr1+D/4TPwS/UT6ifo5/fj81P2O/Sn+B//d/zEAqwCXAQsCKwM1AusBHgVjBKABOATLBp8EmgUABxcHCQb4BqQGXQd/BjUGRAjtBvoHxwcMCJMHXggEClUJFwfsB9UJRgoUCIEHSgnNC8EJvAmHDEkKGgwCDZEJ6Q77DcQKuw84D0IM7w8REi4NzA4CEx8PyQ9BE4AMoxHYEZ8O4g+kD0MNRA+cEPgJPQxEDfoKpwjYCTsLcwWMBbsEvwSqBLX+bgJw/aX6UwHX/DzzPv2B/B3y9fhV9iH09vYU8q3yK/OW8EH0MvND8EHuZvRH8trsufPj8KfwYPFJ8Z3wXfKK8zHvkvHk83Lx1fDc9B3wOPAi9JnxL/AV8pP0nPPG8jnyqvKm9krzR/FF9u3xZvQX9gfyGvRw+cH1evQz+Jz2cfnA9aj4i/m89nv7ufne+Kr+zfyk98T9ggF+/WT7pQPm/+L7sAZ6/V8DHQb3AJ4EkQW8BmEBpwVDDJkFBfyAC2IU6fwQAFIS1wigA9sLWQeeC9oO1wDXCrgPAwjQCYUJ9Am3CpsMHA2zB+0Jqg2PDIgLsAlSCSwPxAoCC40MuAe0DkUONQdrC2IOQA07CwYHcA5dDkkKAwykCEIJYQ/FC/0G0A4KC28GrA7ADusGZAZeDL4KOQUQB8AMBgRCAdcIiAeHAocEzwKkAC0E8AKU+vj/fgJ7+VH63f8u+6z4BvoF+bL6kPRM95j5ofPn8Bf6g/a57PD5ofJv7gT56PNM8GXwcPMF9uHvSvAc9TzzPPC38Yz0AfCH8iz2O/Gi7W31lPZ67Uvyefgz8LnwHfYU9Ir1x/Bp9Ef6wu2l9Yj2ifYd8zn0uvul81D42vuH88b1fQLa+ZTuSgWB/6TrXQsG/y/ysgeS/N38oARH/kIBcP7YBdwGjfdDCkwJwPyVACkNtQkc+WsLxg5I+7ULAAwFAiIGgQ2OCHn+IBBRDAAEageiCNsRRwcg/SMWgQh4As0O9ganDvIFXgl5DZgICgj7DTgEjAq6DjMDTgqwCb0KcgeSBVIQ+QcM/y0TkAnOBxMHLgepDwkFJgeBCwYEpAm0Ct0GOAW0CoMMEv9PD4IDcwb3DP/9ugwwBf4CSQyj/IEK6QNU/wEMsvzKBJgCGQOn/sD+mgh89VsC1wNA9OQEu/kQ/TAAEvJaBJn1WvqQ+3DwmwFa8qH3zPwh8Uz6tvbJ9+v31Ozp/gn0i/Dr9ibylPk+8mr0+PTa8Tv5t/P57rD6ee8N8Lv5ePJy8Vz0avVA9OfxA/eZ9IjyI/J6+On0MvLz9Ir4nfMG9x/5tvKh/QnzXvbB+/bzJPs++Q355fnI9kcBmvqF9bsE//ua+XkAcQFJ/MH9tAJSBPH9VPqLDU4EpPZIDEoI4/xYAvMOrAHW/KsTxQHMAJoQZwKLCpcG7AdoBvcNbAPRA8sVR/2FC1YNKgSQC2IIPwq0Bj0LwwbyBw4QRvgUFy4McvlrFOQHTQMbCIsPJQa5/48P0Aw6AMgGIRGqAjMHCQ1nAesM9wcpAnoQPPzgDUUKYf0pEHv/NwkCDRj6UwrNDqb50AWcDwr6wAWzCtz+xgGkCyv8rADuChD71AT7ACr+vwoa9lH+WAy59Qv6zQlD+8L2kgsy8IIE7v/N9O0Bp/gG+uH+Y/io9IkBi/qd8Y38tv5X72H+gPgp8pj8OPYM8/X7rPb28HH8QfUb87n6WPaD7uj7vfej7gf6Q/VQ9Y7zkvcn9Xz12vbU9Y30MPkn9hPwtPzI9w/zjPc9/MrzYfx/9wv0qQA5+Dby8P8n/TLurgV99iP4twSs9s34Sgb7/ojwDAo7/6b32QaW+eYEJAABAJIAFP+5Cl/3ZworAq3/FQp0/WsLzP7JBd4ILARRBe0EYAptAmwKKAKACmYCFgs5BhQC6A+g/pQOqgeb/3cSZQIHCdkICgm8ApIPIwV1BdwK6AfWC13/MBHbAz0I+AhpB7sJUAa7A8ESLvyHCjMRJPktEe4FcwTIBREPwP8//+gX3PJ2DGcONvNVEuQCrv74CdgDR/0MC3ABa/5tCQD+pwDXB+v64v9CCqnzMAbDBODz0gnO+W0AgPyFAJX4JgPa+pD6RgGb+MYAdfO6BUTwIgMn9dT4uANH7en99vpK+5buiQL19wT1Tfsi8FoD5vGM9BD9M/Q//fPsOANT7F/8c/w749EKbuvi+pH3gfcm9cz7sfXz8qMAXu4m/nT3qvUm/Gb6bvRNAn70wPcTBYTudgFW+Fr/OfjdAfn3EQJR/Hf9Df9eAYUAJPSWD4b1hgI8Aof9/wR5/8P/NwSzACUEJQCZBoUBpQSwBAsB6Anz/xkI7AEbB0YIPP6rDEEE7gO9Br0JRP4YDsYCwQYoCCYEzQvUAqALlgShBxAJMQbXA8cPE/6VC/AHIwPiDgL8PxAhAhwIuwXOB30FFwk7A4wJAgXzAgQM+/4oDfH8jQwQAyADoQmN/S8NevufBUQHhP9yBWABSwNDBqr86gUXAf3/cASL/egBUwO4/AwDu/7+/ggBdfz/Atn7CvxRBOD3EP9g/jr7EQHF9yr9w/51+4r6+/ti/X75GPiN/w/5RPM8BSrwpgAB92b48P7T9Hb4tPw+9iX4EP0f8cMBDPKl+a/7uPWc+932yvYa/Af50/L2ALTzn/sq9vP7qflD9bAAj/b5+3f7Ofik/a/6HPngADP4m/kcBC72KACA/CL+5/4H+VUHO/cAAJH/Rv++Agj7ngYd+koGD/5I/8QGefwHBBcCYwC4AjEC4wQk/oQIT/+cBgMEowBtCT8A+QYHAxoEugYIAfcFRgXZBOAE+wS6BnQB+gsh/tMJnQRIBOEI/gAoCVgFRwSHCC7+sQ+kAbUCuAsuAEoMg//wCMkEaAUwBvYCUwlmAeIHjQN+BlADYwakA0cEHAU7AwsGEAJFBd8C4gOgAggFmf2FCT39BgQQA93+IwaW+rIGKPxpA6L+0wC6/5b/ygBu/HEAdv0M/tv+qvzs/Yn+3Pvw/nn5Ff99+yX63v5A+Z39BvmA/az6nvii/an4afwV+Kn7hPoO+E78GfjU/Z312v1s+Or5AflZ+Vv7YvdD+j76SPqc+M/8R/aP/ub2Q/x0+nH6xPn5+Wj+2/az/GL8YPq+/Db6XgAz/KX65v+b+q3/z/uR/eL+Jf7J/aEAv/5J/nMBGv1PAuP9hgLt/jQCRgGI/20DtwAbAhsCZQM3AWgEdQF5A5IDqQGJBbQCwgJyBYcCmwO1A90FfgM1BGYGuQJuBSYE8wRxA9wGvAMjA58JZv+YCb8B9QYmBFsGRASCBAcHJgNDBfoFhQQdBT8F+ATKBFUEvAVzA24GbgLdBegDwwS6BAcDQQcyAP4HkQAIB5YA1AboAGUF/AHaAuEDywAaBFUAQwb//gADsQEAAYQCwv/CAlT/gAFZAK7/oP9+ARn9MwHv/EQA2/2K/hT+AP5z/mn8nf8P+ksAoPnb/gD8GPz//Pn5Iv7h+cL8ePrn/Jz56Pux+kv6+/v2+Yn6Xvrm+hT6pvkT/FT4zPp6+wP5t/p6+uv64/mS+Rb9W/mn+ln6gPtS+3P6tPud+2n8nvqz/HT8jPsu/hv7bP7y/ZP7Xf+i/Kj+V/3K/2n/7vzAAY/+6P/m/9kAQwBPAf0A+f9YA0UA3QL/APcDhAE/AxgDqwEUBZUB6AShAmUFSgN5BHgEXQShBEAEMQXdA7kEKwXbAz4FEQWCBK8EWAVSBDYF3gShBMgESwatAo4GIAOkBdMDfwTpBH0D4wVMAz0EfQTcA+gDwwNMBP4CXwTOAksDLwNaA3gCrALrA8cAIwPyAe4B1wGnAeUB8f+AA539hgJqAGv/FAGs/7AAKv7rAFz+GP/D/vT+iP0w/0L9s/0//gj9xf20/L//TvmO/mr8Zfwu/H/8xvyq+sj9a/oN/Mz8Vvn5/Hj7ivo8+3X7MvvH+Rj8Rvpv/K366/kp/Sz6BvuK+9/62vsX+7/76Psh/C770/vG/az6T/z6/Jn70/ws/BP+ivzx/Sj9x/5v/lL9qv9x/vz+Gv9y/w3/SABX/yYBCACiAb0ACgFpAqUA0QJVAbwCiwGXArgCeAOIAq0DuQM/Aw8EMgNZBJwD+wP+Aj4FSQPNA8cETQRwAmsG1QEjBKwFQwGTBt4B0QQ8A+cDcQMqA4MExAEZBXoBNASnAv0BowQfAMUEuwC2As0BCQL6AaEAuwJ0AK4BFQHOAAoBBQErAE0AHAF0/+n/BQDr/2H/Tv8LAI7+VwD5/YL/KP8R/pr+Wf5E/rn9wv43/d79/P2j/Pj9tfxX/Hr9kv27+5/88v2w+sL9uPtY/HL8rPtO/Lb7q/uZ/NT7bfxP/Br8y/wc/QL8FP1b/W/8W/1Q/Zb9HPxu/6n9l/0m/qL+kP77/YH/6P5G/5P/1P77/3wAkv+uAOEAsQAtARkBlAH4AJUB3wFkAVECzwJ9AYcDlwJkAhwELwI0A2IDhAMSA1UErQLMAzME4AInBEUEgwIbBbsDZwObBN0D4QPDA4UD8APqAggEOgJSBDwCYwNRA/sC5ALpAXUDgAEMA6oCpwE5Ah4C3QDQAOIBFf9lAYIA2f9LASX+7f+A/1n/4vyYALD95P0H/oj+qf6H+8H/zPtW/EL9jfvH+778Ffo2/U79Dvmu/Wr7o/uS+pf8AvsG+kn7x/q++sv5PfsF+yf6g/oB+/v6yPl7+un7UPrX+lX6D/xv+gv6F/ya+3T6LvwG/Ej7h/yq+/r9gPts/PP+p/uI/pj9fP5J/nr9/f5v/1r+Fv4lAdz9aQD6/wX/egDJ/+8ADAF/AWgAJgLQAKQB3wL7AJYCMANFAecDcgM4AtYDUgMHAxwEqQIvBLgC7wTfA4EF0gRBA9MFEQYsBHAGYgdbBZUHCAW6B04G/AaLB8UE6QeqBjUGbAdZBqoFEwiIBpwEiwcJBs4GqwNYB+QFZQOyBygDcgUgB7gEkgItBMcDMQTqA50CgQPlAI0D3f8jAHsDBwDDAH8ALAEg/9r/wv6z/dL/WP8W/VX8Xv4N+zr+GvsG/J/7IPt9+jj5LvyJ+iT4Wvmt+tT3QPpD+aj3d/p593X6K/e395P3FPmE99X0y/lj9lv1gfac9yH3Ufj1+Ir3vvk699H6q/d49o/5/feC+D73zfyV+ZH4tvpZ+pn7YvsH/bT8wPs//gn+Sfsw/tH/FP+7AP7+TwB9AE3/b//dAGkBUAAMA7AAywEVAhQC2wIFAisD/wG1AzEDmwJvA4QDkQTNAeIEHQRPBJAERQPQBcMG5gMcBTMGtwSkBZUFtwUyBNgHIAc/B7cJWgmcCc8IaAYLCokJFQg9CTQMIQtaCzcOzQsbDbgOyg21DN4MYw14DB8NvAxHC8cN/AoKCSALmAoiCX0KgAgfB7QHwQSBBaIDswSKAz0EkAJJASwEVgDZ/0L/Bf9L/VH85PrV+kz7WPkB+//4ffq7+Z33M/cz9/D2GPNu9D3zd/P59KzyrvIh8hbzyvJN7+rxu/JR7ebuffHP7Wzue+9a7Mjul/At7vbtK/CG7WjuZ/Dk7KzuBu+e76XxEvNl9Gb1qfYl+K/4nfiS+9j6ZPr4+7z92wB5/m0BlgGBAvgEwgDvA6ACdgIyAyMCRAW5BY8FWQXtBRUI8gSgBC8E5AAbAr3/gf0D/6L+zf1Q//YA4QHSADsAGP8n/43/Bv5T/wYAjwBMAUsCJwMCBAUDUQSxBZ0FuAfBBtAHIAmuCg4NSA4NELYQohEMFGAU5hQCFvgVcRcVGfwZPxu5GwQckxtsG/obphkDGSsXQRZxFSgTZhFsDxMOcwxpCyAJ+QbHA0ACigCj/+T+Af0q/LP6X/ry+HT4YPbT9Rz0MfNP9BHzUvOw8qPyePPI8nTz5PFi8gXzdPGM8WHvku747mjuIvCI8dDwhfAM7nXthet+6XDn2ORs6f/ndOn16t7pEOuc6Ofr0efF6MboVeT06Jbnpec85/npuu/y87r5Z/p6/eb/If/kAEcAKwJ9A1gFWgh2CxcOKQ3aDn4P9RDnEfoPJA4oDAwLiwl8CR0JwQj6CIEIeQcfBVcCxP6e+1D6Mvk++Jj3cPb69RL2wPYG9wf34Pek9xj4yfgd+bz69vsc/v8AwAMkBswHUglyCswMBA+FEKoS3BQPF9cZ3hvqHREgxiG3Iwkl6CWIJpElHSXcJJEkNiVbJG4kEyMcIqEgyR1dG0IXphSgEbsPyQyECcUGVASDAuX/7v2E/Iv6LPrc+C/4CPgT9iL2D/Rf9Yb2CPSJ9p310/YV+VH23/iD+X/5PfvF+GL6JvmD9xP3X/VP+dL1yPR49O7x2vNR8DXrTex56gnrGur+5krpzuR35a/hsuS75OHiDOSm4Pnm2eOt4GXbzdmu4R3m5O1v8av2l/2O/8oCygPwBNwHpAfuCosN/A6ODx0P/hJ3FrMbqxolGUMVJBC7DPQHIAawA6MDzQLzAk0Bpf6B+u72ofNj8ajvhuy66lPnO+gZ6RzsnO6A71TyifP49CX1gPQr9eT3h/vBAPkEsQhYDF4ObhI6FE0XnBjJGKUatxrXHAwemR+FIWok2CYgKN4ngCXUI/MgNiCzHdsckhx0HGUbkRlWGKEVExWtEaoONQy7Cc4FxQF1/xQA/QCAAFMAO/4i/939lPpE+Wv5mfuC/BT92f1u/ncAcQAGAIAA/f/O/i3/Qf6Q/9D+0f38/mn+wP+X/PP5kfYm9O3xV+507NDqven56RDoK+dq5cHh6+HJ3qbgy95Z28Pc99eC3Qzdo95b4/jf5OWM4ibk9eW54erk/uPK6/L2bv65BwcJ7wtdDy4OvhJzD0YPhxH4DzYW/BVOF6kXqhYUGbAXIBZzEEAJ1ALm/WX61vqv+JD5lvjR9pf24vF277Pqyucj5+fmG+jk6GbpXuyF7jXzZPbn+CX85vuE/ib+7gDZAs8GDwuyD18UpBfqGcAalRstGvEathmEGgMbVRqPG+0aQBx9HOMcJR2bGwYaHRfAFPAS7xANEAcQQBFmEiUTfBHIECkPZg5fDZ4KGQpjCAsJGAg6B3oHcAdqCSUKrAqTCXIHaQViAwkDKgNNBAgGtwaUBkMGpQXZBD4DdACV/ij9pPy6/Hj86PvT+v/4qPcf9UH0b/Gw71Ts8uig56zlSOa15N/kf+Pt4yLkz+Ms45ThfuLY4sTjteN24gXkbORx5jfobubD6Wjnx+pi6SXoqOoN7Bn33vyJBpQLZQvRDBwIbQhUCp0L9Q2/DfUNuhC+EwYWHxZVEwES+Q3dDQ4ISATA/9z4JPpB+Gf7PvzT+kT3evSp76rtS+u+6LjohOhr7IrtaPLY8Yf0CvY89pf65foK/lD+KgDVAZAF4wh3DNEQVhMSFoEVXBbyFBQWPxUgFQcW6xVcGJcXYBdUFrcV9xWqFAcT0BCfDxgPOw8oD10PLA8VD4MP+g4fDyQORA0jDLQK7gr5CiIMsAy8DUQOTA2mC5QJKQnMCKUIHwhWCKsInAiICBUHLga4BL4D/AI5AoMBq//Z/XT7f/p/+uX6vPo++ob4g/aX9ArydvCj7bbrhOqw6Tjp+ed4587mFeav5RrluuS65HzjyeOb4yfk0OX25Zbn3OYs6AXn+uYt5hjlheeG52jqWeob7JPryO0R8Zz43QMhC3EQvwzmCAAGvQYTBykJ0AoRD+wTGRZFFnYT5xFmDgcOqAqLCGEFHwEy/vz6Lfnj+C76FPrv+pz4cPbz8h7vnewD60TsQ+/E8xr4tvlF+mb5a/kb/G79EAF9AtQE4gZMCJkK1ww1EMAS3hSaFcYWCRf5Fu0UbRLEEBURchODFmwYMxi1FqMT5xFZD94Ozw3eDRwOdw3dDlQOiQ+HDycPQA/DDhAPtQ+ND0wOwgxXCzYMGA7IEMcRaBGpD2oNhQwoC3IK6AlHCf4IRAmpCBIJLAhCBpUEjgG5AFz/1v6a/dX7dvp/+cr5DvpM+lP5DfiS9ULzlvBZ7oTsjutI6+fqcOt36kTrbery6VfosubY5WDlX+db5/npF+ly6UHoheee5tzluuW85LDmQuVT553liuYW5r/mHulM7M717P2CCCgLaguhCJkEQQT9AdwDHwezC5USCBfJGsQanRjyE58OdwvlB9EGlgS/ARsACP4C/Uz89PoB+iP4svbF867xQ++M7H7r2OpG7XDwKPVV+Av7sPtq+zf73/vd/fz/PQPVBIwI4wvtDwATthM8FDUTUhQSFNIUHxVdFGYU2RPSE6AUsxUKFgIWSxPKEKQNTgypCxELLgvZCfAKjgtTDSAOqA1jDOIKJQrdCY8KCAveC/wLvQzWDEkORw/HD+EPWw6JDckMRg1VDTEN/Qt/CrEJBwnFCPoHxAbrBHADhQEuAIv+Wf0L/O762fkW+cD4Efgz9+z0ofJ070rtruuR6prq5Okl6lLp6egU6BjnPude5iznNudw5xnpH+no6froKOcB5qblbuU+5ibmS+X65SzlY+YT5qPm1uY26SDuePRv/ggF7gq6DK0K+gcABeoAYAFPAkoHsQ74ExEaQhsoHGIXPhKkCmEDNQBl/Jn8efzb/Nz9X/5z/Qz7xPcC8/zvpe2S66Pr1OpC68bsiO8286/3o/o3/aT+jv9bAG4AIAGMAL4CYQRdCZsOwRN7GBYZLBkbFicUERLNEHgQ/g9fECsR7RJHFBoVOxTeEcsO/wuACUcIhQfTBnUHiwe9CEMKTQuQDLAMGwxWC8QKxwp3C5MLkAtZC2sMLg7DEFYTCxSqFOkSUhEmD1oN/Qv6CsMKwwnYCu8JUwubCmMJQwdnAwYBw/1h/eT7/vus+2n78Pui+736xPhK9qjyl/AX7sjsk+ym6wXsUOtL6yTrBeuv65jqS+tM6SPqJumL6Xbp5ejN6WDo8Om45kXnv+Mo45viMOFL5CTjh+lj6bLvQfE59Wv6uP0dBqoHbw3zCpELgQeEBfEEIwXkCbwNBxWIGCodVhz6GYoTpgpkAp36uPbO9TL36vlD/L79W/0y+0z3HfIR7Y7oLObm5bPnN+sx7+/yAPaB+Iz6/vzV/oIArgEOAtUCuQNkBbMH3Ao9Di8S2RW6GI4aXBqbGF0VuhEpDvkL1gpjC7wMnA4fEPQQwBD4DncMVgjhBJUBawCdAJYC1AR2B7kJVgtbDBsMdwv9CWYJoQgmCb8JhwvUDeIQPBMNFcAVdRXpFNwS7RCjDhANegxlDBYM9wuLCx8M+AvYC8AJLAf8AxcBFv+F/TL9Av3w/QX+gf4S/ef7NPnE9qTzJvGV71ju+O7B7aTu/ezt7Lrssusk7HTqgOsu6wPtvO3E7d7tKeyo6pTovOWZ4xXiMeAp4I7gjuIe53nrge6x79Pur+8s8zj50/4hBWAIsQvDDlIOGA48CuAHEAZCCGkLOxJiGP0czx41G28VdA3dBXD+UPge84bx6PLu9v36U/2u+/H42vNe7+bqdOc95VnlAeeZ6orv0vSO+v3+GwKbA74EWgWgBs8GawYYBm8GHAlaDS4S+Ra2GmMdJR47HVQZqRSCDvYIpwQlAowC2gSzCIoLtQ00DcYLYwg1BDz/Qfuu+IL4hvqi/Y4BXwWvCEALlgzDDOoLyQqNCQsJgAmiCnsN3Q8HEyYVfhe6GHUZQhiMFR8SGQ7UC5cJQwkECWoKhgt8Db4Nvwy6CoIGcgPj/nr8y/rb+uv7DP0s/pb+q/4q/hX8cPod9or0YfFi8KvveO5u7qvtOe5K7lLwUvDX8dbx9PEN8uXxNfHR7+rtFeu76Izmn+QU40DihOEL4+vlE+kp7MztF+1z7jvvTvLB9tz6kABgBqsMnBCtE6ESDxD+DPUIRAheCUEOZhSyGh8eDB/RHLEXexDiBrP8PPQO73ftCPBc8xf49voc/Ar6Fvax74jp/eMF4GXfh+HU5lbuUfZU/QsDPgZVCIYIfQfeBeoDJwMdBOwG/QqeD84TUxcWGjQbfxuvGWoW1hFPDPIGlgKX/0X+hP5k/wcBhwKOA5QDawLA/5b8UvmL9kn1IvXR9tb5rP3zAcMF6Aj6Cv4L5QtFC6kKeQo5C3sMgQ7IEDUTlRVaFzQY8RekFiEUfxEvDr0LXwniB8QGRAYfBkUGZAbkBRsFnwMUAsAA1v8z/9D+Qv77/cn9L/6C/gr/fP/C/+f/e/9q/sv8P/uL+f33avbo9Hn0P/R39MzzuPN+8//znPSs8w30vfPy9bb3avgz9azwkur45F3ijt6k3TTea+D15Xvr6u//8aHyyu/n7s7tlO5k8jr3E/wEAkUGmAo+DnwPwQ6nDIQKPQrRDVsRvRZFGasajRlCF50SEg02BwgBz/27+z78MP47ABYB7//2+yP2TvC16uDmy+QO5KzlCOm17XvySfYQ+CD4X/c59iv26fb5+Cv8JwDgBKoJ+g1CESoTfxPHEqERUBBwD9cOew5zDoMO0g4WD/MOEw5fDNMJ7gYIBHYBTv+h/YT8BfwY/Hv8+Pwi/RH9p/x0/IL8C/39/fz+JQBUAbMCOgS/BWYHAQnICoYMVA6yD5wQ0RBAEC0PBw7+DDcM2wtkCxULlwo8CmkJrQjhBvAEogJSAKH+S/2k/OL8i/2l/oj/BgA2ALb/M/9X/Vr8nfqE+rX6rvt9/JH91P5qAPACJwOrBBADMQPBAVwBxAAw/+z/+P1Q/+r+DACvAagBUAGu/RH6WfVP81Dx+PD28DzyqPWi+Qr+Mv6D/Pr1u+9M6R/k++G64KLjkOfH7oX1K/xfAG0BNAAW/I74J/XI9OD1g/l1/nsE/wp1EL0TERRiEboMOggyBBUCSAHFARoD5gS/BugHSggWB58ELgE3/cv5K/ea9dH0q/S39JT1yPao+Kz6VfyN/eX9Pv4T/in+AP7m/RD+1v6UACEDXwZlCfQLoQ0sDqcNMQwVCs0H6QWWBJQEeAVFB/4IGQr+CYoIhgbwA9AB4/+l/pv+gP//AVkEXgbmBu0FfwR9Av8Akf97/m3+mP6n/8EAkAHFAeAAtf5N/D764PkQ+9D8w/7V/w0BUQGvAff/v/z2+Kb1dPVS99H7z/9LBF4GoghGCc8ITwipBZkEIwPaBJMHOgwPEHwSNBP5ERoR0xBsEL0QJRA+D5MPeA7BDvsLOAigApT8APkf93D4IPq0+2v8xfua+ir44/Te8OnsX+pT6uHs6vHw9zT9QQFcAr4CvgHcAC8Aw/6C/uX+bAHGBL8HkwhIB0wEqQGB/1f+1/2b/Xn+9P6a/w3/+/zk+V71MvG67Rrs6ewz7yHyY/RW9YD10/Sl8wzyF/AU75jvmPIz92H80gC7AzUFcAXPBMEDvALPAdEBcQIcBBkG6AfQCD0IkgYeBNoBCgDQ/s/90vzX+wX7RvqF+Wr4H/cJ9rb1VPbb9735Rfsu/FH8JPzu+/b7XPxP/fr+bgGCBKAHXQrtC1gMfQsBCocIdgcVB3AHawjaCWYLpAw6DZwM+QpnCIkF7gIHAQIAtP8IAKoAYgHrAfABXQEyALT+IP3m+0P7XfsJ/DX9m/7p/x0BAgKWAsYClwIlAroBgAGHAb8BJQKzAlUDBwS1BDYFiwV/BR0FiATFAyIDjwIyAgQC6wEHAi0CXQJ1AkECtAHcAOb/Af89/q/9Vv0y/VH9pf0b/on+vf6z/lr+6P12/Rz99Pzx/B39df0A/rP+b/8OAHEAngCYAH0AdwB/AKEA1QAWAWsBygErAm8CewJoAisC5wGoAW0BNAEFAcQAhwA/APP/nv86/8r+Sf7L/WP9EP3F/Hn8PfwU/Af8JPxV/Jb82/wj/WX9ov3d/Qr+PP53/sT+N//M/3IAHAGsARYCSwJNAiYC5gGYAVcBLAEaAR4BJgEkAf4ApAAaAHT/wf4X/ob9Ff3Z/Mv82vz8/Aj9/vzb/J78afw9/DT8VPyj/B39rv1I/tj+Uv+m/9P/6f/0/wkAMwB0AL8ACAFDAXIBiwGEAVwBFwG+AGQAHADk/7b/jv9d/yz/+P7I/qH+ev5Y/jX+Hf4T/gX+Cf4U/iL+PP5f/p/+8v5O/6X/7P8qAFkAdQCFAJAAmQCxAMsA+gArAVkBdgF0AVIBEwHCAG8AKQDq/7n/ov+X/5j/of+X/4P/Wv8s//j+zv6+/r/+1f4H/0L/iP/L/wYANABRAGcAewCaALwA6QAUAUgBfgGkAbsBzAHHAbYBmgF5AVMBLgEQAfUA4wDOAL4ArACZAH4AXwBDACIABQDv/+z/9P8IACkATQByAIsApAC0ALcAtQDBAMoA5AANATMBWAFtAXQBawFXATQBFAHsANAAugCnAJMAhwBxAEsAIQD1/8X/pP+Q/4T/fP98/37/g/+P/43/lf+b/6//w//i/w4AJABCAF8AaQB9AIoAlwCyALYAyADGALwAvgCjAIQAYAA3ACYADQD6/+L/v/+h/3v/YP9L/yz/E/8A//j+9P7x/v3+Cv8N/xD/I/9A/1f/dv+X/7H/xf/Y//f/GgAvAE0AagB1AIUAjQCTAIwAfgByAGYAXABUAEYAPgAqAA4A8//V/73/of+F/3f/cf9o/1//Vv9Q/0T/Ov88/0H/Tv9Y/2z/hP+Q/5n/qf+7/8f/x//Q/9//6P/x/+7/7P/k/9r/0f/M/8L/tf+o/57/kf99/2r/Yf9U/0X/Ov84/zb/NP84/zX/OP8z/zf/Pf9I/1z/cv+O/6n/uP/P/+H/6f/6////FgAjACgANgBBAE4AWQBUAFQAWABTAEIALAAfABAA+v/u/+n/6//h/9T/0v/C/7f/qv+h/5j/i/+L/5n/qP/B/9T/5//7//j/AgAPABoAIwAkADsATABeAHEAgACPAJAAhgB/AHcAawBdAFsAUAA5ADAAKgAoABgAAwD3/+f/1f+//7n/tP+k/57/qv+4/77/u//Q/9b/xv/J/97/6//o/+v/AAAXAB0AJAA+AE0ARAA7AEkAUgBBADAANgAyABcACQAUAA8A8v/e/9r/zf+p/5P/mP+P/2z/X/9o/2r/Xf9d/17/Xv9K/0j/Wv9Z/1P/X/9y/3//g/+X/7D/rP+q/7P/x//N/8b/z//d/9f/zf/S/9z/z//D/8H/vP+y/6n/qP+f/5D/kP+K/4L/gP+F/4P/ev94/4T/iP+M/47/mv+k/6r/tP/K/9f/1v/d/+//+f/6/wQAEwAbABkAHgAmACMAJQAnACQAHQAcABwAFgAPAA0ADgABAPf//P8IAP3/7f/u//f/8v/m//D/AgD9//T///8SABMACwAZACYAHwAbACsAOQAwAC8APQBBADoAMwA9AEEANQAxADYAPQAvACYALwAxACEAGAAfACEAFQAPABMAGAANAAsAFgAXAA4AEQAbAB8AGgAcACQAKAAmACgALwA0ADYANAA1ADoAOQA3ADcAOgA2ADMAMgAzADcAMQApACYAKAAjABkAFgAXABUADAAJAAsACgAFAAQABgAEAP7///8EAAUAAwAAAAMAAQAGAAgABgAJAA8ADgAJAAwAEAASAAoACwAQABIACwAHAA0ADQADAPz/BQAJAP7/9//+/wIA9//y//f/AQD5//L/+/8FAPn/9f/9/wYAAwD8/wUAEAANAAUADQAYABEADAAZACIAGQAVACIAKgAjAB0AJwAtACoAIgAoACoAJQAfACcAKgAnACMAIwAlACsAIwAjACYAKAAjAB4AHQAkACMAGgAbACIAHwAUABQAGwAeABIADgAWABsADgAIABQAGQAKAAIAEwAZAAQA/P8NABUAAwD3/wkAEAD8//D/AgAOAPb/5f/5/wUA7f/d/+7/AADs/9f/6//8/+j/1P/m//j/5v/T/+T/9v/p/9f/4//4/+z/2f/r//r/6//a/+b/9v/s/9z/5f/3/+r/1v/e/+7/5f/S/9n/5//d/83/1f/j/9n/yv/M/9b/0v/F/8f/0v/T/8n/yf/T/9X/y//L/9T/1P/M/8z/0v/T/87/zv/W/9f/0v/S/9j/2P/T/9D/1v/Y/9T/1P/Y/9f/1v/R/9L/2f/X/9D/0v/W/9b/0P/O/9L/0//P/87/0//U/87/zv/T/9X/0//R/9X/1//V/9X/2v/b/9n/2P/b/97/1//X/9z/3v/X/9X/3P/c/9f/0f/X/9n/0v/O/9X/1f/P/8v/z//Q/8n/yP/O/8//yf/H/8n/y//H/8X/zf/Q/8r/x//M/8//yf/J/87/zP/H/8f/zf/O/8r/yv/P/9H/yv/K/87/0f/P/83/0//T/9L/0v/Y/9z/2f/Z/+L/4f/h/+H/4//l/+f/5f/p/+v/6//q/+3/7f/s/+z/7v/w/+7/7v/v//L/8f/w//D/8v/z//L/9P/3//b/9//4//v/+//7//7/AAACAAQABQAEAAYABgAHAAgACQAJAAcABAAGAAUAAgACAAIAAQAAAP///v/9//7//f/9//3//f/+//3//P/9/wAAAgADAAUABwAKAAwADwASABMAEgAUABYAFwAYABkAGQAcABoAFwAZABkAGQAXABYAFwAVABMAEgASABIAEQAPAA4ADAAMAA0ACwAMAAwACwALAAsADQALAAoACwAJAAoADAAOAAwACgALAAwACwAKAAoABwAHAAYABAAFAAIAAQACAAEA///9//3//P/8//j/+f/0//j/9v/6//f/9P/0//j/9f/x//P/8f/x//D/7v/u/+3/7v/t/+7/6v/q/+7/7P/u//L/8v/0//f/9//2//b/9//6//3/AAACAAUABwAIAAgACgALAA4AEAATABcAGQAaABwAGwAdACAAHQAgACIAIgAgAB8AIQAfABsAGgAcABkAGwAZABwAHQAfAB0AGgAbAB8AHQAhACUAJgAoACwAKQAqACsAKAAtADMANAAzAC8AMgAsACsAKQAqACcAIgAhACAAGwAUABEADQAHAAMA/v/9//n/9P/v/+n/5P/i/+D/3f/d/+H/3f/a/9z/3f/e/9v/2P/c/+D/4v/m/+b/6P/n/+b/4//k/+b/5//u//H/8P/w//L/7P/m/+X/4f/h/+P/5P/l/+P/5v/a/8//zv/N/8z/0f/S/9X/1v/Y/9v/2v/b/+L/5P/o/+3/8P/y//P/9P/2//j/9v/8/wIABwAIAAQACQAEAAQABQAFAAcACgALAAoAAgD6//T/8P/x//P/7//v/+3/6v/p/+X/5P/i/+b/6P/y////BgAIAAoACgAGAAAABAAOABoAJwA0ADkAOgA6ADEAKwAmACwANABFAFwAXQBiAF0ATgBJADsANgA3ADcASwBMAFIAXwBSAFUAQwBJAD8ANQA3ACEAKwAcAC0AQwBJAGAATgBAACAAAQDx/9n/3f/i//j/CAAPABUABQDv/9L/xP+1/6f/tP+3/8z/4P/p/+f/2P/E/6v/of+o/8b/7P8TADgAQgA/AC8AEwD+//n/AQAeAD0AVwBGACsA///K/5r/f/99/4L/jv+J/3r/Zv9H/yb/Ev8Z/zb/V/99/47/jP+O/5X/q//P/wAAJgBGAFMAVABMAE0AZwB9AJcArQCsAJsAZAAmAPv/7f8GACcASABHACEAzf96/y7/7/7Y/uj+Ef9I/4X/qf/J/9f/xv+6/7L/y//e//f/LwBRAIgAkACDAFAA8//T/7b/+/8mADIAHgCp/3n//P7M/ov+Af7n/Xf90/1T/s7+XP/s/rH+Iv7//WP+nf5u/3r/BwBjALAAUgHCAFMAVP+V/hH/iv8iAdwB/AHWAfgAngBGACYAPABrABIBKAJGAxgE0wMPA/0BQwGFAZUBKgI7AhICWALuAfQBqQFAAWYBGwE5AdAA9/9E/7b+/f7S/4EAwQATAIr/A/9b/14AVACtADP/I/4f/rb92/8lACYBRAA9/9f+iP6f/23/HwBj/wAAlf9+/+H+iv3Z/Jv7LvuV+qb6xPp3+qj6cvk++sH7Wv1dAA7/Y/6x++75fPoR+7D/8ALSCC0L/gozCLsBvP6//AIA4wTMCHALYQrVCL8GpgSaA3oBQQGqAO0AvABZ/mf9Rvtd/YD/WgILBCACFAFb/lb+SP/bATcGYApLDpwONw1oCGEECQGK/2kAjAGbA4oDsAL7/s37IPhW9ub1yPXx9j/2Vvej9lf4I/qY+zv9bvyY+4b6TfqY+//9mwIgByoMHA+3DdAN9gnSCQwJ2wfjCB4Kfg2RDzMRHxFREf0Qlgp0/wH3KfPKAKERgxw5HmAMUfun7OflbOjF6qzxcvc8/44C8/9p94/qSuJP4BLlf+799Pn4uvkQ+uv7MPxI+1P2RvTQ8Vn0cPfb+t4ArwQDCcsHMQRG/qf5sfeM90n6EP+DAxAHVwVU/0n4GfJp8JHxofNm9ob4hvkR+U32CPMR8KTvqPC58uv1F/hd+3z9R/8EAK8ALACcAIIApAHtA7oFaAh3CXEKNgpnCYUHZQXCA+wCVQPyAwIEwAOOAa7/G/3R+/f7Qf3J/w8CAwT7BF8FVwVCBSoGqwedCXIN+A6bEgsTQhTdFMEU1xTdEuMRxw/7EHMR5hO5E7wSXQ4fChcGXQL0AqIBOQQZBVEFdQVbA8QBRgAN/87+kP91ACMDWwVCCRkLjQxYCywIrwSqAAn/Yf4s/3D/SwBr/vn+Pvsk+133GvZo9an0d/fi9oD5bPh/+iL5C/p992L2PvbG9xb9GQHiBWEF8AVvAZUAj/1y/B38q/tl/b38ff07+2v5yfdY9Ezy2+6Z7Dzt2e6S8172jfgO+ID1i/OX8ZrxfPRq96f7nP6q/yUB6AEqA50ExARoBaUF8ghyCZYNXQlOB3ID8v6pAaz+AwJtAFQCgQJ6BDUFJgHx/DnxDezA6KrtRPUZ/sD/pf1O9yrteep75EPpQe4m9ysATgThBuEBR/4y9931/fXQ+l7/pAOaBawEJgWLAWsCggDMAgME6QTrBhoF2gYeCCcLtw3VDqUMBAwFC8QKRw1ZDbEOMhDmDqMPXw1HDMEL4gycDrQT4hW5F2sWORFNEkUXgSWRLvsvvSNoEaYJMwNKDc4PxxN5FNMRNA9rBa75Ge7g6EfrpfNl90r6pvVO7+btlOvX7mjx0fJM8qT06fRi+H/9rP5xAk0CgwJYAWcArf3D/Nv9NP61AVcAcP9W+vv0DO+b6p7pNOrk7f/tYvDo64npJuQr36HeId794szmbevl7XbvB/Db7/rvGe9X8LnxVfa9+t7/MAShBnIH7QWvAmn/Nf8HAYYGmwtiD54QXA4ECksEUABQ/vL/QAONBWsGoQOb/6b7sfgH+KP4+fl6+9f7rPoC+ZL1svSC9AL3kfqb/Iv9S/y0+sL5Pfu0/GD/JACkAFMBhAEyBMUFpQg7CiELnQq+CaQJrwk3DMUNUw7iDRkN+AixCjMJHwyxDRARLBGWEYMU2BNaGH4Z7xRUCyILwwohIG4wjzkfNtkjlBn1Ca8O2g4VEFsZVRZ6GV0Yvw2kBoz48O4P7LbsSfWl+E/8c/oE9sryp+0i6ijoOepd7Tf2lPoeABv/Hf0Z+lb4h/mA+T/7Bvst/HH91/53/oD9Uflp9bvw6+sF6jroLepU7TbuPu7+6ZvjzN6Q2unacN7U41Lqne5h8YLwDfDI7p/wMfRx95D8h/7qADkCXwJMBD8FCAf/B+4HLwf7BagE+gQkBj0H4QfnBZECXP6l+pP3yfaD9yX5nPxt/lz/a/7t+oD3tfTG9PT2c/vk/gUB+wCy/pD9Qvug+tn65/q5/MH/nwHfBX0IqglaC5wJDgiXB+UEcgngBzMKzApnCVoLfQyVB9kKcQp6EHIgXSBPKTQg1BZ/F1UV6SCsKXIs8DByKrcsayMqIXsc9RPUGaUU7hdVFAgOgAe3AZX/lf6u/g/97Pia9SD0Y/O0+Av6e/yi+pD4J/eU9l/4LPnR/Mz+4ACeARn/1fzv+eX35Pio+Tz6Lvvz9//1NfOr7rzusupT7O7qY+tO6qXo/uil5krnBOTL427izeQQ5mXpLesg7MbtrOzb7SPtru918r/3TftX/Xf+Wfw2+wP71/rW/KUA5wEiBO8E5gOhAo8BAP+3+/X7O/iX+ev7cfzB/zL9X/sH+Of1j/b49XP58Pv9/RUBDv8x/m/8Wfqy+vX7x/vw//3/NQEcAtQBNAJMAggFdANuB9kHpwqmDKcOpAt/DCMJTwrjCicLnQ0uDLINNA2ZFGUYPyPDJ+gnDyduHJwWYxQLGxApqTSGO143DS7kI9wbRRV3FDgTcBL5FdYU5BItD3cEhP3s+OX3d/kW+i74Y/Y/9pD3kPjU+J30fPGB74bwkvTd+H782vwn/fT4fPiU9HzzHvMp9C/3GfkH+qP2kvSN7l3uj+pb7l/sIO2X7i/rHe3O6k3poec85Zrj/+Lb5ADnz+ot7v/vV+5D6wroduaL7ZvxWfjb+0z7KPqZ+KH1mfX/9xz6nP5TAtIDVwO3Ap7+yvuk+Y710fYr97/6e/xh/gb90Pky+Eb01/N485P28PcAACAAXQGU/wv5yPYE9Tr3+/lYAf7/MgRUAQoB6gEyAF8FuQFiB/kJMQnFEMIKpAvgCiQHNA0mCUoQiw0vFDkVGRk3HrkbaCfxHfEnmh8YIEUhZCGALEsvfDm5NBYynyUBGh8VTxC8F+AZbh++GV0VJA1qAmoEnfjZ/sj7Q/7N/qX+EPx3+NH5IPWe9ofzBvPU8W31pvim+gf9dPlE9unydu8r7/7wPfS19xD5/vh+9Gnzq+8K73Dw7O6p8MPv5+9R73rvnu3+7B7q2egB58XkN+ht5sXqb+xW7CrtZuvK6VvoR+vW7ZLyePb99/b1APag9dP0Fvn1+dP7tgAXAJIA/f9s+0f7ovrA+Vj8tfqo+7X6jvzF+lP7rPrT+Kf5nfgC+vT4Mf6s/CYAwP0f+6/5efcA/H796AIKA+gD5ACnAXEBzQL5BusI0QofCy4KMwjKCHwIWwoKDX8PnhNIEwMWuRXaFiUZiRz7HgYj4iIIJcYlDCoCLBw0MTXXLjMy8BnCHjIYFBlrJuUnpisGHysaDAPGAe/+XwMkDBcO7gpwAvb+nfcR+uj4wfcP+KT2hvfo+Qj3fPhy9vf1ufjX88zxfewj7ZHxqPjJ/fr6W/j+7k/t+Ov671jyh/Va9+v08PWL7q3tReqo6Tbtcesp7cLqLulw6XbqxerB6l3pQugt55DolerC6w7wAvCu8ZbzUvEP8r7w9++G9Dv2iflO+435kfdB93/1DvW59nH1ZfYM+jL5O/sP+jT3lfaS9hD5d/im/B/7UvuP/df5RPp8+fL3Avsw/IT9BP+sALL/lwE1AI7+8f7r/z4CTwYICboHIQkeBjQIqAjlC9YNzQ81E0sUdReDGAIcfh4eIe8lJSZpKH0rlSwbMPAyZi6vKl0jkBzmGqAekCPHJSctaR5HHJsNrQJFBeMC3gtHDMAOdQg5BRUAT/zx+Mn4h/Zy97/7c/dV+1H2AvaX90P1cfUn8dfspe3G7lr0efk4+Sf67vUO9NHxGu/d73bvU/MT9rb3BvZO84ruYO1b7XXsn+0r6v3piOhN6rbrduwd7c7siOwd7I7sTum36i7q7+zJ8YPz7/XT85XyJO8b7qfuvO6u8131yPj1+Cj3i/R/8gXzTPOt9lb2ufj++Mz6NPwa/cz9y/ym/v78d/14/Ez6Z/wL/fgA4gLaA3kC/gBu/8z9Gf+8/bIA4ADlAzwEYwTgBDIDvQaqBsgJLgv4C+4NnxDWEpUWYhhoGiUeoCA9JMgmMCa9JU0kXCKFIhsgFiIxIYokmiZyJGYj5Rv7FngUGhNfFK0UFRTKERQRkw9QDfALPgeOBA0C7v91/5/8oPyN+rL76PtC+mX5rfQ08yLyZPJc9Jj0WfV49a311fXg9FXz7/Gc8MvxR/JR88nz0fII86LyevJL8hfxLfCi7xDv6u+f7yvwdPDn8DTyIPJ08hDx6O8y77nukO/z743wlfC18I7wZfBi8LDveO9s70DvL/AU8FnwjfBa8DPxMPFj8hTzafTX9ZT2ZfcZ9y33Evew90r4NPlE+vD6YvwE/fr9JP4y/s/9tf21/aD9LP6z/vj/DwH/AV0CewJTAjIDiANZBWMGCQjaCV8LhQ3vDugQrBHUE4QUOhYpFnYXORfBF24a+xkoHfUcxB1MHtEdFh6UHdgd+x2aHqgezx4CHqId6BweHIwbrxlhGAgWIxSkEpgQJA+HDXULNwqhCKsGYAUUA8EBTgAS//X9VvzZ+ib57Pea9lz1VvQs8zPyrfF88Njv5e667Yjtguxs7PPrsOvW6+Dra+xI7J/scuye7KHsjOyT7D7squx57GHtLO2I7W/tTu2v7VLt3u177djtHu4w7rvuue6s7hPvOe8W8OHwoPGj8tbyp/Od87bzz/Nv8/jzmvRZ9ZH22PY392L30/Z197P2KvdG92v3f/jd+E76mPqF+5X83vyN/mn/mACRAgUECgY+CIcJDwzgDcQPEhLrEm0U2BR+Fo0X9hg8GxUcDB4eIB4g3SHKIZ0hjyPEIqYkNCSlI1QkZyJVI8whxiDIHzEdqBz8GVEYOxaAE08ShxCJD1EOrAzrCnYJxwcyBnwESAJ+ALT+WP0A/Mz6MvkP+Lj20vX89KnzzfJj8c7wQPDl79Pvce+Q74rvye+/77LvTu8y79Duz+6p7k7ufO4m7iXuN+4c7trtC+5d7YHtTO1L7bTtfu3o7Vvtke107c/tPu5v7s7uz+6A747vCPDu7/Xv8O8D8N7w5/DG8dnxD/Jk8nLypPI/8hDyDvIS8s7ynfP38wP1C/VK9s722fep+Rf64vx5/vUAjANTBZUH1Qi6Ch4Mnw37DugQrRGLFOcVvhcYGgca2xyFHKEe5R8XIDoiyiE1I9EjCiTCJB4kxSNMI/MhZCF1H7wdNRz7GRwZZBdfFhIVuxPfEpkRnBAdD28N/wtLCi0J8wdTBkwFkQOTAnEBLwDo/mv9+fuk+ob5hvjB9+X2lPYJ9hn2wPWO9T71ovSJ9P3z6fN489zyd/LY8ZXxXPEJ8eLwjPA08CTwzO+q70Hv3O6y7kvugu4u7h7u9O2d7bvtpO2y7a7tbO0g7f7ssuzT7KjsoezW7ObsN+0X7djsTuyj63PrC+sc6/nqsurX6vHqTOsP7Hbsou3J7rrwwPIR9fz2C/kc+7f8i/9wABsD4gMfBk8IXAoFDTIOtBBrEe0TRxX0FroYsBm1G2odFx+sIMUh7iFBI+kimSM0IwgiaSGwHy0fph3JHFYbAxo8GRsYTRcYFl8UIxOaEY0QtQ9lDoYNaAx0C+sK8gnYCKUHBwbsBFEDegL9ACQAYv9//pT+1/2K/fj8OPy4+z/7r/pH+rX5M/m++Dj4vvcw9+P2WvZL9uX1o/Uy9Xr0BvRV8/PyhfJS8u/xqPFU8WjwGvAR71Lux+3m7JHsH+zz677rr+tL6/Lqa+rk6Vrp1ehm6PLnYecU59TmHObw5Vrl1+Tx5BXlluVi5uDnKumJ68Ptc+848inzk/X49pP41/r9++H+vQCQA4cFoAckCZIKdQwEDusPqxGDEzUVjxcGGcYaZBzaHE4egx73HkYfbx6rHqQdbx3eHCIcgxt4GtoZ0BgMGLIWqxUcFBkTzRHeECQQDg8gDy0Oeg55DfUMAwySCvUJnggmCCEH5QYqBjQGyQU9BdME1wOCA5kCgQJSAQABAwB9/yf/sP7E/jb+Kv6h/XX9xfxO/Fb7x/oq+o/5Vfm6+Fv4cvc59wX2QfXf87vyofHL8GDwc+9571LuE+4n7bfsxOsL6/np+ehv6AfniOaG5NXjb+Jh4UbhkN+e3zje/t7A3lHgNeEA463lyedA60nrOO6y7OXvlfI19J35UPq9/XX/fQFmA7gEDAaBBwEKowxXD5YRvxMBFasXuBh4GgYbiBrHG6AbHx2oHYQdJB3FHI8cFhwoG5AZGRh9F8MWQBYzFZ4TqBKYEYYRCBHmDyQPOA4MDgEOeQ2LDJ0LPAsGC0cLwwquCdQIwQh4CHAJ1QhkCK8HgQZ9BpkF3gR3BPQDKwSKBDAE5QPnAv0BAQJJAVUBAQBe/8j+1v0l/un8sPsk+rr3h/ba9MbzKPOy8ePx1PDr7wjvjuym62bqe+qA6kTpiegE5iPlhOQA4lvhSN+B3Xjfi9z13KnZ5dY326LbzeFF5c3kGec35e7m2OjO6vfuhPJu+CX7BP+p/p7+g/5+AMoD7QaUC/oKig9xD/wRbxQWFDQVzRWgF98YhxpLGqEaDhuvG6wbnhp9GKsWfxU+FvAVnxUtFGASkBFpEEIPZQ17DCYMTQ15Dd4NwQxpCxwMagtjDEAL8Ao0CkgKWgxIDDUN1QwODPgLEAvgCVwJSghmCSEKAwsPCx4JEAisBiQGNAYYBqIFHganBKUFHwSsAi0CMf/6/kv9e/y++5D5gflr9yb3XPUQ86/x8e7S76nt+O0g7irqtet+56LkJeRx3lrght9p39jhJNtV2qzVYNEK2H7YGtzI4QXf399j4JTevuCs5JfojvAZ9Q/33PZo9RD12/i9/fEApAiRBSoLdwmUCTsN0AshEikSxRdnFg0X5BZtFcMZcRl4G4Aa+RcxF6cWJRaXFgQX4hO3FX0RqQ8zDxQL6g7fDcMP8A+PC/wKZgi2CJYL6wuFDloN1gsjDM8IzwmRCugLSA5JDt8NRQsWCpUJNgqPCwkMegsQCzIL2wlkCnoJQQhZCOAHigioB3EHdAblBHkEuQK/AOP+Qv5Q/e79KP0U+rX4f/U+8yn0nfIf8qfyMfAk7xbqEum847/mtObx5gbnu94M3IHW59eZ2Ufd6t/O3ULdBdrD2JHYvtvq4B3mtes765vroehw57ntCvA4+BD8I/ur/tb7yv2mAKsBpQdFCn4NwQ46DhgO4w87ESoVoBb3FaUW+xMAFpsVABfjFokVSBVYEjoSIxAaEEsQqRAiED8QFw1/Co8KeAkPDPALzg0FDIkL5ArNCfoJDQpRDEoMmg7SDZoMbQuvCpALgwwQDkANRw13DDEMQQy+DMcMMQx8DJALXgzEChAM1ArsCpoL1AcWCAwF9QSdBCoFXwUgAVkC/fzi+vv76fiw+Wj8kPmD94r0c+vi6+bp5+1I8MvqjOx43SLbKtx71e7ftt8p3vXhstlm2IvVBtSR3LjeYudo6AjlI+b533blR+m47DT1FPOW93L3RvUb+dT4p/3rAlUGJgkRCdgITgokCwMQbRHIEbgUchLyFA0VSRSaFD8TbhTuEsUTnhHoDwgQmA7gD5cPCQ7pC98K3woSC6wLoQyRC2kLJws7CtIJfAl/CkQMpgw3DnUMsQrEChYK1gzODfENPA7vDOAMogyyDR0OFA69DjIOSg6FDdQMLg09DawNvQwuC0UJfQcJB6oHlgarBV8FRAEx/6D+gfue+8n9i/si/I/3N/FR7unrQe8X76jvoO3W4hfhStwn2jXfOd8O4VXgrd2a2qLWGtc/2UjflOPD5Z3mv+KP4bbjlOW46rLvZ+/180Lz9/Nj9Uj1ePlB/OoBrQP1BTgGQAZzB7EKVwzzDXgQLRCWEugR/RHYD5MPvRDdD68SbBCyD/ANNAxDDKEMeAy6CgsMxgoiC4oKvgq7CNoJngr8CeEL8Qk9C1gK8wrOCwcLoAskCzwMVQ18DRcNSwy6DBMNnA5kEJ4PDxDIDgYPbA8PEKwQlxDFEAwQhg/eDWgMuAvsCygMgAtiCWUI6QRdA8sDMAHSAY4AHAD5/WL52fey79jzt/Bf8oP0DOiz6eDe4N5a3y/gn+TV3X7hUtsK2BPa9deH26jg2uLy46njBOCZ4KLhiOYb6srthe807lXxUPC18ub09vYJ/Bz/fwLbAn0D0gN6BAcJaAqvDfcOpA7lD4kODg6VDZINMw/KEO4Q6w7RDNMKTgrnCvUMqAzOC/sLcApbCsEJ4gnVCTQLDgxhDEsMswoQC+QKkQuPDAUNIg1eDcoNDQ5lDbsMgA1qDowQOxHiEXgQjQ+KD/sP6xGnEtISyxLCEP8PcQ9aDTIOwQ1sDqkN/gr3CQYG/wWOBBQE4wQnAd8Avf50+//3y/Wf8hjy4vEq8ljttubi5d3dIN9N40/ge+Nj4CTb6dtT2W7Z792631ThhuRh43XhpeB24prkGeg97/zsMvHl7r3usvON87X4Ufu//24A9QIMBCkDjwUZB4MK1AxmDggPfg2FDVQMJg0uDYANWA4qD6wNmAtPC4AIxQlUCWgMBQxfCiIMGQjTCLYIqQnkCmYLTQ14Cz0LuArXCYALKgy0DNAOMw43DpAN7A3uDUAOxBC7EYYSVBLwEa8QiBFEEkoT+hNvExUTRhLlEG0PNhDgDi8OyQ6GDTYM8AjvB/wGzQShBcoDPQJkAL/8Wfw89pj0ffWa74r01uw86+/nXdy65eTfguK/5KjeJd+a2HTbv9tc25Dg5N+u4IPijN9O4abg6OCn6Ernnewh7XXq4fAH7DDzffXe9e78q/uzAaAAGgE7A8wCMgewCdILuwzNCwMLOQucCl0LLgx4DK8N2guNDFEK7waqCiYJJgspDHcKrwrvB6kJEQpECmYLkQuXC7oLPwu3C6YLUQucDSQNcQ1cDqYNAQ/HDhIPjxAcEB4R3xJbE/wSphK8EnkSihN3FCAUZRSeEk4RChF+D10P6Q7WDkMNegxLCd0HEAbzA0IGAwPzAMgAmvrn+Fz3xPJS9XTxMfCL7afn8uYc4Ijj9+Sy4U/mfd+i3Qvds9qC30XfH+LB4x7i2+K14S3iV+PU5GLphOuu67Dur+zA7d/xbPB/90r4nfrB/sX9BwHB/2YBXwPkBM8IjgnpCE8K0AffB9cIkgdiCnIJmArVCWgImgjJBTIINAhwCXYLzAhICYgJjAgmCp0KdgzwC80LhQ08CzQNuwzlDWEPdw6aEBAPtg/LEBsRHhPCEmITCBX3E0sVfhWoFXQVZBUDFy8WYxb1FPQTmBPfERISixEJEM8PCg18DIwJFAgVBx0EswXiAcQAT/3K+M73YPQ987vyXu/h7R/qquR95XLfrOQ046jgzubm2/jdE9wq28Xg2d+K5HbjaeH04kjgyeJN5TTmNe0z69ntVe+y61LwGfEK9fP5HPoA/sv9sP1+//j/EwPLA7MGjwhoBwYIbAZTBbAHSgdOCGsKiQfnCBQH4QaxBnMHcwlqCGILhQkTCdEJXQh+CvIMlAzIDeIMag0+DaYMwg8BD3gQaRF6EboRABE+Ei0TrBMsFgAWWxagFvIUGhgjF4sWVBgxF8wWaheHFuYVlRPNEmESLhEuErcOwQ5ADE8J3QhvBicFDQOcAVgAvPzQ+Qz4q/PK8RPyau8V7T/ryuad5avjQOLn4mPiRuPI4O3f9N9A2/Heg+Gr4Kbl3+N74nnin+K65VDmROpd60Dtbu4j7n/wgvB38iL3c/h9+4L9s/rv/vL83v86AmgBhQVVAzUGbgTGA0MF7QIMBeoGGAaxBl4FywTABa4EiQcPBh0HiQkgB7EJcgg5CEwKpgkDDMgNoAz5DMAMRw4AD4EO+BHSD6sR9hKBEhYUGBNkFf4UrxYyFwUXVRiZFiEY9ximFysYphYBGFQWpxXNFosS/BJQEaYQoxC8DdULYQqNB3sG+ATVAtMAF/5O/Lv5CfcH9AbzDe/47gDuL+qA6JvlNeTs40XjqOIv42nfluKb3oDd8+IF3bzjvONc4lbljuHE46zl5Oal6jzrtOsG7uDsQfEE8QvyIPdc9dj61vqL+rf97/oZ/8kAoADiAoAC3wLDApYDRAShA2sE/QQyBKcGBAXpA2MGNwQ9B/YGMQdLB/YGFAmTBzoKNQqPCuILtAuqDPkNDg0ODtQPyQ+2EoYQMhL+EjIRthWgFNsVqhZAFtIXIhboFzYXNhiDGHgXPxknF4wVPhYKFfoTvBR/EgARgw/yDVUNfQvjCRoHoAV9BHYAsv9z/4L5CvvK9pb0bvNv7/fwWOtA7Ufr7eVV6RTlSePu5xPjuOJE5Q/heeNf4XzkmOPL44foY+Lt6NzmROXX66bo+uwk7rXtw/D57yDxkPT/8rX2APkD+DH71Pro+tP8U/xB/mUA/P6vAdT/IwFkAZX+dQNyAeEBJwQYAbEDTwKSAfsFWgJRBn0GdAOfB90F7AdcCSwI2AsqC2kLsw2KCzUQpw0AEOQSNhAeFfMR9BJIFf0TVhYrF0cXghiGF/gX/hhZFuMYVhk+F+8ZdRgMFrYWmxRXFE0UlhL/EfoQxg1TDXsMxAq9CJAFUwWlASoCg/0l/dH9Dfgk+AX0K/Nd8DzuN+8m7nLsVOzA5xvmCeej5Kvm8+WG6LblIeal5LnhaOZe5XPnLeqf6/bonuls6J7p0exz7XDybvFg86LxMfLJ823ydvhH+Yj6pfzS+mT6u/ot+6z9Lv9WAM0ATP8J/zz+VP/PAEIAoAHaAr0AnwE3AZwB6gM7BCEGswVkBpMGggaFCCkJdQseDLEM7w3BDSwP2A11ELwR7RHkFQcTvhQ3FRgT7RXjFRkYJRidF9gZOheiFg4YABZBF8oXiRdVF8cUMRVLErkQthKjD/kPYA7nC84LgwjKB4MFdwV4AjYAagAf/K77L/ky+Pb2C/RY9MDvB+8s7uXqv+w26tXpMel153rn1eVo5XXlPeXN5YnmC+fn5ojlNOha5t3nVeqI6Lzq+utl7bft9O5l79nvefFp8d7zVfUH9Wb31ffg+E75lvlx+dr6QfwC/av9Ev3r/xj+e/+r/7v+qgBN/2oBgwIZBH0DPwPNAyUErgUjBHYHvQhoCYYJRQnTCqsJewzzC78NDhALDuEOchDgECITXBEXEoQUtBJyFVgSQhZWF/ETaxb6Ew8WShT+FMAWjxS2FpESChH+EW8PuxHLD+YPJxEKDGIK3ggEB2UHIgY5BosGuwPMAaD9/PzU++H5O/rJ+Cj5JPc39JDySPHK8NvuFe5f703tiOs869DqV+qN6UHqjOii6WTqJulW6a/qjutT6gHrr+uy6yDsM+2m7gTxdfAb8c/wZ/Eb8zLyJPU29iX4Gfja92P5K/hz+dX5evuO/Af9Af5r/SD+/f4E/1b+sv+L/xMByQGPATkE5wKZBG0ENwMiBogFbgY7CbMIOQobCk4KOgyMC3AOzww7DqUOIQ44EdMQpBL0EiATYxQWEkITFhNcEiwVSRViFkYWrBV9FAATpxIcEjoSfRFwELQR/Q9uDr0NvgvWCzsKqgiUCZ4IAAZOBoQGiQW4A4YCFgLsAKkAZgCa/83+iP7M/If7UPo3+uD5tvek+Bz5yfZQ9Q71IvXb8/nzqvTY88n0rfNl9Ab01PJU88fxCfKC83Xym/Jk9H/zvvN68dbxOPD873nxXfGC81fz+vIW8hTyH/In81XynfN09KX1QPVx9XP3C/es93L4RPl2+Lj4sPdP+Xr6OPwi/UX8rf0T/Yj95P1t/jH/FQC3AYgDZANtBa8FTAWeBe0EogfsB74Jngy4DKgMsQxIC10KrQv5DDMNYQ5LEMEQKxB3DuYNrQ6RDhgN2gxoDxYPDg+zD+gOMA6QC4YKJQuCCUULWAwIC9QKNwuECm8G2wUMBiMFygXRB+EGmQXaBeoC4AGKAaYBpP/EAOQCAgHRAHP/2f95/gz9r/wB/LT7S/u4+lT82v1n/IH6qfol+4z4a/jn+Jv4U/mY+a/64PmP+df44fcz9832C/gT92P3NPng+Fr3+vYC9+j13/Vt95X3V/dR+AL4d/j/9xP3HfdS9rP3nPjr+Jn5Pvml+9L5tPgw+yn7j/ne+cz7Q/4o/M771vzE/a3+6fpg/jr+8P4B/67+WQEEAaAAFf4lANYBCwKlALwAsgJbA/4B/wEhBH0CRQR/AnwDmgSVAvYEvwMhBQkGtgZ5BW8D3AXjBYsG3QRuBb0G8ga5BcsDbwg/CNIGUgT3BF8F7QWJBLAEvAgIB34EBwHVA+cFCgMjAQ8C3gMAA1L/MQCcA/EBpgGy/x//pwEX/6v9vP+xAPD/c/6A/0EA0gCaALz90f2Z/jr/Fvwh/ob/lf3H/mf+lP0i/hv9D/xe/d/9Gv4B/AL+n/6V/UT9c/5u/oX8LfxT/Gz9bPxY/AL9dP6o/dH8DfvI+9X+Bfzf+2T9YP2X/YH80/6c/av9e/11/Nr97f3k/dv7sP4u/w/9xv0v/sz96v21/pH9Pv2t/qv+VP7h/eD/IgD//bH+BwCIAIr+OP0G/zQB0P+VAI4AyAFSAUMAQAHMAHkBKQDIAOcB4gGwAegC2gGkAWoCUwIZAAIA4gIIAj4BDwI8AocCDQIwAtQBHAJIAZwAjQGPAmEBcP+PA3sBcAHUASABNQNS/9ABCAHbADIBhAHRAfkBPwPcAPsBTP8cAcsCFf9FAQcBVwGMAYIA9wG4AHQB6/8qAeUBr/9FAfcBywHWAU0BhAL8//7/EAI9AMb/vwBSA40AJAKLAlwBUwDHAAsCZwF1/y0CiwICANkCDQI1AJEBcv/fAB0A8P5KAKABVgDvAFUCDAAaAPsAdwBOAMAA2wCRAf4AuwDnAWYAzv/LAMH/8P97ASIA7QBuAScBeQHy/3cArADnAZT/pgH+ADgBgQBJAEMAnv9CATD/XgBBAWoBZwAW/x0AwwB7/7z/iP9JABMALQCa/wf/4v7C/rv/sf5v/0IAqf9mAMX//f+N/1X+r/93/8f/SAAoAJEAqv/fAGb/Xf/DAMP+ZQA2Ad//W/9AAAH/vf8+APb/zQDp/0ABdgDV/qn+7/+M/o3+QwB0AG//cgETATL/uwArAJT/yv7nAKoA3f+BAKAA3ADW/1IAiAEz/00BrAHl/1YBZwCd//8AKABDAXcA/P+bA3AARgFZAekA2v8wANkBm/9LAMcAAQE6ATQBGAIrAVD/u/9VAYcAHwBdAUsA8/9pAawAr//nAOwAX/+VAE3/HgE7/17/dAD0/h8A4/5fAFj/hgDP/vj/uv6F/+H+Rf9AAGr/rv8x/w4AEv/Z/27/7v/b/wT/PgBM/yn/IAD2/+3+hP++/xL/Vv8IAOv+tf+N/wQAd/9X/77+wv/f/uD+0f7N/rv+b/5v/pn+v//G/W3+lv3d/kb+hf+E/oj+g//3/hL/f/4i/y3+MQAw/v//1v69//L+Nf47AFb/vf9d/0f/AQB4AB3/5v++/2n/rf83AOz/PwA1AJD/rf8vAGMA/P5gAD0AWwHY/84ACwD8/63/EQALAf7/NwGO/14A+wCl/xsBkQBtAGL/cwGj/38AbgLn/2EAwwBBAHT/DQE5AO8AKQA/ARIAigAvAZz/0QABAXwBQQBfAKAAHwD2/8YAOwCNADcBJQCiACMB0AB0ADUA6AC4AF0ARAEUAEAA3QBdAd4Ao/8bAYABqv8AASMBIwDkAFkAQgCXAN8AmwGg/3QAbQFwAHMAowAGAUgAUwFtAJ0B6ACyAOwApAFBAGgAkgFaAFsA0wChAfQAQQGrAOoAqwHsAA0B1ABWAYQAcwEHAVEBvgDcANIAsgDiANsADQH3ALgAcABHAUUAygBAAHQB9ACxAM8AFQC+AIcACAGYAGsAfwCQABoAFAEyAHsASgBtAKH/jQC1AFwAHgEUAKIAxgBlALH/WwCjABAAvf9aAPr/VQANACAAzABv/5MAWf/v/z0AAgCE/68AZABw/zMBGgCCAPT/NwAFAEsAFADC/yMAAQD4/hgA1QD7/2wAo/8lAVD/b/8xAM7+PgBTANX/wP9IAMD/SwA1AEX/QABz/1H/B//h/zUATv/N//z/oADM/yH/kf8IAB7/KQDF/wj/Pf+0/5v/Wv+c/6r/RACu/lMArf8Z/2P/7v6k/y3/SABx/8j/q/8LALb/WAAf/7//j//B/u4A9v7k//H/l/8uAD8AF/08ANv//v26ANr9DgCQ/3b+XP/v/5b/Pv7G/xT/W/8g/3D/ZP+b/3//Vf/m/jX/Wv/1/gr/nv9k/+X+df+S/93/qv6v/6b+YP9D/xj/KP+3/yn/F/9aAG//df8U/2sAU//2/uv/QACH/zr/KgFp/6P/xf8iAH3/Tf9KAKT/aQC6/nkA1/+M/k4An/9e/2D/Iv99/2X/pv52/+7/R//Q/7L+cv9CAIn+ff82/5f/Z/+4/2L+tP4FAUr/t/7A/sT/cP9Q/xD/yv+0/z7/Rf6T/zQAnP6p/wX/pP+6/zP/xv9n/nf/b/9r/oP/UP9m/1//ff/3/0kANf6M/8z+7f8m/2P/f/8F//H/Jv8YAFD/sP4JAG/+ef9LAHEAQf8n/xYAZP8v/yv/Tv40AGX/y/+4/zsA6P8+/kYAlf9O//v/VgCY//cAFwCx/+r/Av95/5kA2v9JACIA4P9AAHIAyf6ZABz/6f7mAEsAkwBrAE4BTgAaABkAdwBT/27/Gv/IAIwBi/8XAbsADQDK//QAOwBr/wsANQGgAAn/jAGtAQYA9v/5AOIAvP6e/14Bm//5/wYAIgHE/1L/fQFCAPL+LAEXAAb/hv9r//EAn/6j/z4Acf84AK3/mQDq/ov+AQDE/zL+YwBKAGz+pgBn/5T/gv/L/kn/AQB0/3T/Xv/q/q7/s/94/yP/4P8L/zgAyv8r//0AnP63/0D/JP/l/w3+6f8X/2cATv9b/u3+lf+6/YX/tv+x/iwAk/3f/woAC/8gABX/GgAeAHr/9f8I/3D/aQE8/8T+2wB7AGoANv3P/wwATP4ZALz+RQAsAUEAaf48/qb/agCV/7//OQDt/nr/n/5F/rP/RwDE/9P/t/9v/xz/Iv8t/mL/WAF6/xb/Zf+j/hf/nP5A/1r/SP7p/t79i/9zANT9Lv7G/ln+e/7H/yH+b/4X/6n/Uv/L/Vz/hgAI/7v+XACEADH+If60//z+QwB6/3f/4v/s/9kB+/+8/iAAewC+/vP9pgHmAMr++/8lAMT/gv/s/+v/Zv4pALYAdP5K/nn/VADM/6P/9gDg/8f/df/C/pf+If/mAQL/+f7nALIAAgAG/z4AEQDY/1EAnf8hAI4APwCU/2UAsACwAGb/Kf+EAK4AmABCASAAwf8TAaUAVv+H/58AvP+u/w0BkgGBAtsAZ//PAeD/g/8Y/v/+tf/OAGIB6AASAVwBFQG9/jn+eP7NAAX/oP++AS4DKgKVAKoAJADQ/2kAVQDm/+EBvQBDAYIAkAHeAWgAxv8Z/z4ASf86/5H/QwAGAMcB1gDK/y8AI/9E/6j+9ABL/zv/wf8JAE0BDgAaAJH/2P8zABwA//7e//v/J/+x/8MAhgF8/x8BBQDP/2AB4v8m/6X+rf9b/zz/tv8p/2v/vwAS/z3/jf8n/lT/k/7a/s//5f/a/kP+vf6nAOn+Cf63/WX9W/85/Ub+p/2u/l8APf26/vL+6v0G/uD9NP55/47+QP/v/aT+CQBI/0r/+v0SAAEA9P5O/h7/1/5T/43+JQCBAbH/PgD7/j8Asf9V/+z/nf+TAAYB0QBuABgATACA/23/8QCLAHv/QwB8ALMAvQBS/3n/bf6w/pv+2f5TAJ7+T/9b/h7/7v+Y/ev9t/1b/jr+WP76/jn/4v8KADb/AwC+//f9Hf7t/ugAuAA6AK4A5v9cAPb+GP7D/ur+WP8w/4//r/9VAEb/w/68/7D/Lv/P/TL+IP/T/mH+5v09////UP/d/hj+aP7f/Ev8/v3H/sT/T/+x/qH/bP8g/+X+Zf7o/0r/1v4O/x3+AP+d/h7/jf8k/0T/GP1P/Ln+Uv2C/qv+lv6b/1D9Pv/h/Rr+gf+M/pb/OAAoAbgAhv/pAK8Axv+HAEn/wgDBAPAAhwEtAXECdQCpAHsAtwD1ADYAgQGfAW4CXQM/Ak0C6gLMAfcBjgKJAksD2QInAysDbANUAwgBtAE1AbQB/gGbAWwC+wG1AhABDAEoAbv/swCM/8UA2QGxAAABb//t/7sAkv8lAL8AGgDAACoA1v/1/z//VwA0/+MARgG0AA0Bo/8EAPf+Pf9z/3X/4P5Q/7r9wP3H/cD7F/1R+9L7k/qR+pX6DvlL+uD4zPn6+Aj5Tfg196r56fiw+n/6Ifsw+//5CvyN+Sf9Wf3f/NL+yP0NAMH/RAAuATED1wRsBTMECgWTBg4FZAeKB0gKFAyKDHUN5gwdD74NkQ6cD10REBMfEtcSjRKIEhITHxMtEsAShxKqEKkQPhC+D8MP2w/hD/APAQ+IDl0NAwxcDcIMqww7DSEMTwwfDLwKNwvECTgJOwlqBvgHVQYCBQEGgQJmA7EBFf6H/Z347fhW9rD1svRF8tXxSu0n7XXppeir5Ybj9OC74Bvfx9yc2urYsdhM0+HUAMrozL/KCMtZ1AvUtNy21yba49jq1gbdiNyF5Jzr9fJ9+bn7af6m/G3/LgVhB5AQKxFnE5wXYhd3Hu8aHR+8HmIclCALHIoc1Rq+GakamRmNGhMXPRIJDo4KLgsrC/0L3QoWCOUHuwV6A88EGwIqBDoGigdoClsJtgkjCeIK0QziDVMOiA54DuwQZhIxFaQWtRXKFvoUeRZQFGIVvRLFFLQWuxakGfoU4RROD/wOOhArDucN/QtXCv8HaAhHARYDUv6J/ib+Jfm1/a70d/dD8HfxUfAw7ivuLueT60fjm+nP4RbjXuJq3argFdq33EHY9NSX2BnTE9YG2J7NLtU/zsTTq9bd2O/hkuML7lTs8fAG7FvuDfHj86oG+wcAEtkSdw+UErQQrRDHENARDhfpGt8ckSF1Gc0Z5BI2ELsSZw4/EXQLoA5yDXcMhAzyBLkDvv5m/nn/bAClAnoEGgWIBg4HdwRaA83/TAPcBU0L8A47D5kRvxEqEo8SJRENEbEPZBD1FHAWJRn0GHkW8BTwE5MQ4hDhD4sPShKMEnASHxFzDTIL0QpuCXULJQk4DDAJdAkICAoFaAQZADkBlf8+AuUASQHZ/yb+cPy/+If3u/Ne9OLxnvPS9DX07fJy7YzqOuat5Y/kQuSE5aDkYeNl4t/bbdq01pDUqdca2kTeDt3s3IjYk9wz3cfmBepD8HL7XPMB+8n0T/R++wkCSgtAEv0YQhOVEFsNyQ09D6YSURWcFTUZLBmIFeIRCA47C5gLaQomDeMJ8AgFB0IFlAh5BIoDvP1L/VL+zv4qA4sDIgd4B5AGXwbEAxACBQTwBWMLQxHVEZ0SThFREAgQvA3BDikQ0BEvFWwVhRVoE00RfA7rDBwNIgwhC2AMtQudDAsM5wilBjoEtwNVA2EEBAZ2BRcGBQUxAuMAQ/4z/Wn8wv0S/9j+sv6o/KD6oPmK9/L1l/T28mjzjvL98jXy1u8d7zvqG+q25h/lluS/4RjjuuHV34fe3Npy2YzYSddI1S7X49fd2knbsNvt3WXdpuRc6Knsh/ZZ+OD2Cvqj9lz5mf2ZCdYP1RnyGlIPRg/CBkEOYhCsEzUbQhaPHToVtQ5FCwEDxQgYCj4QiBBhC3cGzP9FAJr/yQEYAKQA8wGAAcIEYQF1Ac8BawJmBkoG4garBcwGcwpeDwkRoRIQEDgOBg+sDj0RcxLwFHcUfRiFFUYUDRB+CyUNyg1KElMRjRDdDIsJ7AjFBwUHqggpBp0G1QfTBckFzAMmA3UCNwXTAqYBbv9R/cX+R/4IARP/QPzO+mH3bvaz91P18vVQ9fb0jfPb8Lbuzeuw69vryetb6XfoauQ25CLj2uEa4SzeL9uQ3J3Zodp920baad2N263ezdw43jXh0+Q/61HyTvaf9x/75vp++mT+RP4zBfEMpRPzGJQWShT6C/8JhAznDjYWRBXyGBwWxxPqEXAIjgd1BFAIBQt9DfcMwAj3BUcCYwGK/2UBJwGnA0gHpQhNCXsHwQVNBFcGfghKC7EMkA6+EOoRMxMiEWAPFA+eD+USFxTEFRUUQxPiE10RARJRD+sMig4pDT8PQA5LDCELighrCNAG2wbUBVQGkwY0BocFvgTbAu8DCAP+A+oDSALzAYb/7f+L/7L/7f6W/l/8u/tS+ED3yfVe9cD2KPaA9efzUvFx70TudexO7Ezr/uuJ61PpV+kD5sjkauSq4tzgwd+l3RzefuCx39jku94z4tfgCNzS49vhjOlH8aX2ZPos+Ez5yPF99Wr9nwCGDpsPWREWD7YJAQvqBJkJvAxjEBIYpBZDFRkNfAkqBpQGNw2oDEcRoA6PDCwJTAUzA8UBpwTGB0QMBgxaC1QGpwP3BOEFrgqCDDEOOg8yDsINJgzzC7MMoRCaE64VOBbxEXEP3w7sDjQSiRTjFLwU8xE4EAwOzwuoDLwLQw0PD4wNYQv9BwAFSQNdBHwG0QYUBxkGoQIiAvwBnADvAXABZAIOAvkB7gDH/Vj9Pfza/Dr9zfw3+wD5ePev9vb0qfUr9GnzvfTa8f7yQvAM7pzuqOzJ7Eft3epx7LPpj+r/6J3m4OYA4fXjJ+BD5FnkY+UT54Lh1+S632fhO+Wg5vTu8fJ49vj1sPRS8mLy6Pfl+18EeAfZCakJNQa6Bd4BAwQ2CDkL5BJdEnwRlg4FCEIJGwjeC3sPHRFhEVgQkAytCcgHqAVWCaMKCQ72DqAM2Qq/B/AGOQhXCRUNNA5RD+AP+QxEDGwKyQr+DBoPgREvEUMQSw6qDFcM0AxMDlgPuxA6ENIPIw6TDPQLcgs/DYwNPQ5bDQELsgnwB/8GwwcGB8QHaAd6BqIFgwPdAhACfQLiA/UDrwNWA9cAIQCa/3j+ov/Z/vz+9/1H/Oj6jfgJ+J/2vfZ59p/1OvWI81zyCvGI8G7v++4U73ftsO207Gvraevp6BTpm+YL5Vbm5eEc5YTjAOKk5CPhAeLR4NPgGuM95LzoWes67GDv/+12747x0/JR96v5Ef5H/zMAZgE1/w0BSwJTBE8IiwkFDAsMcAuCDL8K6QzZDZYOiRHVECIRuw8lDoQN0wy9DSYOoQ7HDu0NYg32C9kLVgs0DK0NPg5qD5EOzw0ODZsMyAypDQ8OHA/lDskO4A31DFEMJQxvDXINzg5HDgcOsg3MDDYNwAyTDfQN7A0MDg4NvQszCzcKpwnZCQYJmggZCEUG0QVABJsDoAPVAmgDyAIvAg4CywAzAM7/Mf8f/+v+Yf5Z/az8F/tC+oP5UPjB9yn3PvbH9eP0ovNn88zxxvEW8cfvJvBH7mTu1u1U7LjsUur/6cPoDucQ56bkZeQw42/hW+Kh3x3gI+A1353i9uEf5e7lAOcZ6qfppu2b7RLwqPK28yH3S/ei+Sj6b/vW/ZL+9gCHAuEDKwZMB9YIUArdCgoNUA3wDlgPWQ/tD0YPqw8ND0wP0w6QDscOTA51DjUOCg47DmYO1A5AD1EPkg9mD28PhA8VDz4PxQ7EDsQOgw5xDvoN+Q3LDdcN1A2kDcANvw3QDf4NDg5NDn4OWQ6zDu8N9g2ODegMOQ0RDDwMZwuwCjMKBglvCIgH6wZYBsAFKQXCBBEE1ANNA9ICqQL2AcEB+gByAKf/1f49/lf9v/z5+yj7bPpX+Z/4tver9pn25/TF9KDzRvJl8jDwdfAR74Xuru797CPtuOud6j3q9OfE53/l9uO14yXga+EC3mretd453afgSN8/4krjOeR159vnWupL7IbtffCr8YvzePUJ9qD4Mvk4++r8zP17AFMBsgOIBewGiAmoCsQMRQ4bD2IQaxAVESsRORFcEe0QAxGXEGQQThDID+APwA+9DzMQ5g9mECAQZBCAEFIQqhAmEEoQ3A+SDzoPzQ6FDl8OKA79DfQNUg1jDdQMpwy4DHwMEw33DGYNZg1iDVcNCQ0eDacMogw/DNULewuqCjgKXAneCCIIogcNBzsG5QUUBaQEHQSrA1cDFQOeAlsCygFAAeEAFADk/+b+h/7F/er8hvyI+yX7Tvq6+fb4F/hN9zr2UvV69G/zyfIV8lbx0fAO8IPvm+7o7Snt5+s4667pFOje5krkG+PE4FHfo94S3YDejt1b35TgGeH04w3knubv527pIewl7a3vQ/F/8pD0K/XK9g748vgP+/j7Mf7V/5ABAAReBdAHhgkvC+4M9A0MD9UPEhCqEHAQnhB9ENwPARAhDzgP4Q7DDh4P9A6OD2cP3A8IECYQyBDPEFsRfBFFETIRjhD1D30P0w6tDlwORw47Du0NzQ10DTcNKA0sDVgNoQ2zDf0N8g3tDdwNUQ0xDZwMNQzBCw8LnAr1CYgJBgmGCPEHagffBj8G0gU7BdsEjQQ4BBQEmQNPA6oCJAK9AfkArAAKAIX/Of+v/jT+0P0l/bD88vs6+3n6Zvne+K735/YG9vL0QvRF82/yt/Hd8Ezwge/p7vvt1+zM6wzqfugv5lbk2uEi4IneJ93e3HvcEd2T3aDed9+t4L7hXOPg5NDm5Ohs6gft3e0N8AfxK/LK85b02Pa79+X5ffsH/Sz/xAC0AsIEkgZWCD0KRAucDCcN1w1JDnIO5Q6qDsgOdA42DvsN0w3IDQMORg6DDt0O2g4vDzAPjw/oD1QQ7BACEVgRIhHmEJkQLhAEENEPsQ+fD24PJw/4DpcOow6LDs4OCg8gD2cPOQ9FD+IOyA5vDiAOzQ1BDa4M7QtOC3MKBQpbCegIbAjPB2IHrwY5BqUFSAXhBKoEQwTvA3UD8QJ/AuABjAEIAZMAQwDT/2f/Bf+T/hP+sf1A/Zr8AfxN+1f6n/nG+M33P/dW9p31FvX/86PzYPLe8QPxve9C74ftN+yF6m/ooOY35HXivODS3tPeld2w3WzeA95e38rftuDx4Sfj2eS55n3oneoT7J7tQ+/a76bxnfLa8+n1C/cx+cX6V/xB/rb/yAGuA1kFbgelCCUKRAv0C9AMPw2BDQwO7Q3oDcwNTw0xDegM8gwADQgNKA1cDUMNzA3JDUQO2Q4GD9kP7Q9DEEIQFBAtEOoPIRD4D+oPtQ9zDyoP9Q6zDq8Ovw7UDhwPHA9MDxcPNQ8nDygPOA/iDqMOBw5wDcAMAQxeC6UKJAqRCfoIZgjHByYHyQZsBhsG/AWOBToF2ARvBBkErAN6Aw4D9wKvAlICHQKgAT0B4ABuAAYAkv/7/pP+x/1M/ZL8rPsj+/z5efmM+MD3PPcx9ub1C/V+9LfzbvKs8cjvme7P7ILqDemB5mLkPuOH4Frg+N4F3mzfet2g3/XeO98O4ZjgPuMY5MPlEOjb6Pzq/+vG7LzuBO9r8bzyI/R69hn3ZfmX+lf8oP7q/3oCCwS+BUIH+AcUCXQJXgrhClEL0AugC8sLjAtUCz4LFgs8Cz0LngvFC8sLKQwPDHIM0QwpDcMNAw50DsYO7Q5pD3IP1w8EEAsQVRAoECwQ/g/7DxQQRRByEKgQpxCLEI8QXRBeEBgQARDpD6cPbg/MDjcOeg2wDBkMagvaCkoKvAlgCcwIdQjGB00H0wYhBi4GiAWFBW0FJgVaBRQF5QSMBFQEJwQwBCcELgTpA5QDNwMnAscBowDr/2z/SP4p/hv9FPxT+xv6M/nF+OD3OPeI9pf14PSC88zypPDy77ntK+xo6irnneWW4tng298m33je6N4p3sfdO94e3ZLdFN753lvhOuMM5ZjmCOda6EDpXOpf7OXtze8p8mnzDPVT9gP36Phf+gD9Dv/vAHECWQOQBCUFJQZxBk8HAQiyCCAJNgkgCeQIJQkXCQ0JbgkfCYAJrAm1CSoKQgqcCsIKTws0C8ELvgs1DMQMOw0xDnMO/Q43D0YPbw+LD78PGBCDEOgQKBErESgRvhBnECIQ2A8uECUQLBAPEGcP6w4ZDk0NsgxjDDQMIwwMDLQLWAvpCkQK1wmTCcwI9AhgCCEI7gdfB2kHFwdlB4YHigfQB8UHeQcRCNAHDAhUCMYH1QfuBvgFIwVVBHMDuQLSAWEAyP+f/dX9iPum+i37mPf2+hP3VPel9uvy6/OA8HfwEu0q7uHpmOny5ZHgR+LT2uneet1S3vDfa9/X3vXcLNz62SfdKt8V5M3mQejp6ILoNek06fzrq+zj8IP1kPWh+Dv3BfY4+Fj5gvxl/+AA/AJlAuIDKQPpAYcD+wPeBQMH7gZYBhgGFwaWBkcGygarBqgGhgeHBv8GtgaZB7AIsgl6CukJUQqHCdgKkwtVDTcOrQ/0D4kPPRDSDsEQtBD0EZkSihLYEiYRLxHPD1AQVxDcECwQ2Q5qDkUM6wz5C6EL2wuwClQKFQlOCGgHuAegB3sJTAkmCSIIaAdSB6kGwQdsCCcJ5wq2C10LTgxKCigLowtXDFkOog7WDogOgQ0BDBcMcwrGClcKaAhAB/wETQJ4AWH/If7r/Q/8CPsW+pr3Kfcu9nn0A/PM9O7vafCw7h/o7+m+5qPl++eh4NTgudos1ADbg9Gd3JLffN7t5SLi9d5E19rZpde25v/vQPS495HxlPKy7lLxFPEz9VX6EQAABsUC8wDr+Uj4Vvqp/lwCyQNKA8D/Ev+Q/Q/9c/03/uP+kwFGAQr/lv5b/aH+zQL9A40FNQRVApcBvwH/A+AGvAm7DHYOdQ39DBQLywliCxEOUxLKFLsVMRPcD6sOSQ3EDoEQJxIjElIS4w8IDh4M6gnJC0ILyQ3nDdELGwtICE8IGQiTCe8JrAmsCZ8IiAcVB9MH8wdxCyoMhAxfDHoKAQqGCpQMiA6RDxIRRxBBEcERMBGzElASeRL9EswRGBF3EQcQHxBSEMoOMg7NDBsJJwdwBMsCpAHtANj/dP4s/pz7I/pW98b1ofTG9AX1I/RT8hrwPO2V6TTqyOXz5XDl6uHL4lvcYdc20UbTmNSv3VzhFOFY4qnbkt/s2n/e1eDK47/uH/Tf+mn4x/Y+8XTy9/Zc+QEBx/7k/yMCbv63ATb/evvf/Tv7xf3v/Qr9W/zG+oP77PsY/CX7p/rP+J35ufsU/LIA8gB8AjkEAQPfBGsDUATLBIkIHApIDbgO3gwKD28Nyw76DicPIQ/8Dh0Qtg++EFcP/A44DsANZw2UDVQMrQt0DC0L5gyaC78LJwqPCsQKggmWDO0KNQ0fDQkMZw1hC1QN6wyhDLQNkwtoDcQNeQ4wD30Ptw4RD68NWQ3XDWAOHRHxEbYTbRJDEuIQhRAhEcoReBKMFKsSxhKOEdwOPw6UCicL9QfZCTkHYQX/BLf+4//W+kH7rPpP+KP4q/Wu9jz12fV88krwBfBt67zubeQz4X7eOt0n5tjjaOKN1U7O+sc6ylbSttpE4ZzmDeZN4/zfCdvf26XcoOnE7er64PsS+736qfVL+4v5MgCF/m3/iP7m/Jj99f2r/2UA7gEs/vD8g/e/9SH1E/Xm+BL6jPyR+z75YvdC9sL3E/vZ/d4AlgMIBJsFtgRCBu0FwwhNCSEK2AuBCcsLpgqLDXwOiw8CD8IMIQugB9wHXQaQCbAKXQyMDNIJFgmIBUoHbQZcCPwHRQciCMMHmAo9CpAM4Q1yD9gQvA8mD6gNag5PD18RjxJAEmgSPhDEDx0PfA5HEMIPsBDtD0gPNQ5SDnsNtg4bEccRpRTZEyoUERPuEt8SnRMYFBgUEhQ8E7kSYhAYEGsNtg0NDEoMawgkBJYA1PmZ//77rAD7/VD4Yfq59Tj6RfYF8+LwAe3s60DqBOIk4Y7bfd3W4K3hZeFG2O7PYccHxizNr9Wt4HHo2Om+7Q/nCul94W3jD+e660z29vaZ/vf6CwFC/3EBUQN8/+AAOPl/+ab1Jvga+hz7OP5c/af+0fo697byX/DJ8ebzh/Yk+Uz4sPo4+fX6Ovzz/VIBCQNkB9IHLwvLCbUKCwuHC28NMwx3DM4JtAjdB7sHdAlqCtYL5gpLCmkI1QZ2BtYEjgRIBA8EFQX0BGcF1AYbCNwKDAzaC2MLqgkQCiULww0vEUcUeBa5F1sXKBZuFAcSNhHxD/EPHQ8xDlcNBg3/DJIMEw3SDH8Nig2JDKwLtwvfDF8P5RIkFZ8XDxdqFxEWMhWvFqcUrxYkE24TexENErEQpA/pDWAL4QtuB9QIxv5rAez3TPpT+535wAH6+Pf8+fNS9wP0MPIi7AzlLeAZ3Vnd79nw37jeM+bU4IvhANVAz+7KJceb1BLY3eeZ6x3w7PHP7j7xh+5Q7c3tIu3E8TL25vkJ/2ABcQaMBz0H9QIy/qv3TvPv73DvWPEQ9OD4RPpn/Rr8ffqK9vnys/Hd8Mbyu/PM9ZP4P/yS/7gDQAa/COUJAwqSCe8ITAmGCHoJ4wgJCYMHlwWQAzYBLAIUAjsFswalCAkKVgkvCZEG5wW+A2oCbwFh/04AUwD5Ai4FYwduCaUJ1go7CgYMTA3eD9AScxVrGEcaJhvjGfoXhBStEa4OtQz3Cs8JBAmDCEsJUQqlCz0MfQz4C50MZQw8DQUOQg8HEl4U4RdPGn8cZB1UHLcajxf2FcUTbRPREowS0hLKEUMRXA/JDdsK/Ag5BUYDNf/4+6L5NvjS+Xr6i/3r/U7+FfqL9AzvnuqO7CnkDOJ31ifVlNqz3SrpYuRX5zndhtdj1DfP/9Rv0mbb2N7U6c/0lvXr+Fj1QfE/88jyAPGY9a/1ovco/dv+egIsBV4FcQO5AVr8tPZ38ZHstOsn7Mzw5/Q299/5F/j9+D75WvnO+T/4Vfix9mH3Wvhq+tX+vwLpB0gM/w8PEUYQAA5rCuYHGwTSAHn9evoP+QT5pvu8/5YEJggPC+UKLgpjB8UEVwGm/sf7Pvm7+ZL6Sf8xA0IILQvbDS0PXQ+gEDYQ6BH6EqQVphjsGkod2hwZHLUZ/RXKEt4N/wkKBuUCEAJTAnEEjwarCPgKEg3GD20RWBKqEiISfhJ6EgIULhbXGFEbQRwlHcQcWRyFGooY9hVoE5URvw7cDSENLw2DDfYM5gy5C0cJ9gVLAnT+vvtF+Qb67vsB/fD6J/ea9Qj4Afp89o/t/+KO2xfZUNms2/rel9+X4PTfpuAD4vXeONon1kvWY9ys4Fjmueih7O3wwfJS96/31voY+Sj40ffZ9pr4UPeF9wL63/t7ADUA8P9p/Dn40/WV8vXzp/FI8tHvx/FC86D2GPvM/JgCVwEgBOH/d/+i/Uf79/w8/OUA4QLYBa0HLQrHDQEP0g39CVYF+v/q+1j3WfUX9jD4Ff3I/28GywliDooQrQ6dDJ4GWACY+fXzzvBF8ALzX/kUAH8JWhATGF0dfiAMItgfnB6QGt4WehNNEH0QChCjEM4P4w7qDScMBQo8Bj8Def8C/pr9Tv/oAuYGvQv3DyAUVhetGVca7xluGPUWTRVWFMsTIRRWFTUWlxfVFwsYHxcvFuEUHxPmENkN6gquB28E/gGiAMoAzADKAMsAb/9E/yL9j/3C/YX98vh08UrsKOvl7Ens9uUt4APdZtwu4IbheOW+5cvjgd/z2gXaydlw3HXecuOs54zrEuvt6kDs8/BX9+j59/oi99D0FvQQ9Nv2ffik+sn8Q/w8/Gf69vry+j373fr6+Af4iPU09N/yZ/Te9qL7Tf4uAAoBnADxARABcAHcAEcAwQAW/zH//P7fAJIDTATeBVEFEQfsBkUGWwRSAWD/t/x4+9z6YPy5/TkAQQHkBHkJPw1RDXkJrgIU/Dv3OPFu77DtffJ5+EUD/w4VG5YkiinxLN4svC0DKPAgihbpDCgGDgJ2AV8CTQQpBZgFcQffCMUJuQhDBkAFOQSKBAcF6wWdCK4L+A+LFGQYnRuzHOwcqxyNG2oaSxdCFGYRlA8RD44PGxDwEMgRnhJ+E1MTvxL9DyMMpgbgAWz+K/z4+un57/mW+gH8E/3m/df92f0b/Jr4WfR/7xXsIOhK5I7h79/+3/vfe+Ch4Iniw+TL5lTnEOas5GTjj+Iv4hvjh+Ty5lHoy+ny6wnv6fJr9f/20/dV+Nz4LfgH+A/3pfeG9wX49PcI+FL40fhx+kL8j/72/r7+MP1W/Nz7uft8/Gj8Q/1Y/WH+8f4jAFEAogC5AOkA1AC8ABoALQD+/w4AfwBQAnQDrgTzA/YDQAIFAf/+lP0qAFH/WADS+qL6yfu/AAcILwcgBwb+Hvdp7yLvafA7+Kf7CwPYCMsTnx/EKPwweTLNNL8viiktH48UEQw9A8L9Nfob+j/7T/z7/Q0CbgjfDjwS6RIyEUoPqA1iC8IKQggaCMIGtQjPC0IQLRXuGEIc+x24Hm4eNRzKGC4TNQ+HDPQKBAmnBnIFDAYaB5YIXwmPCW0IdgVyAn//n/22+tn3KvWO8yTzDPOu86T03/Ww9kT3+/bT9YLye+7u6SfmweLr36bdi9xc3GHdIOCR47HnFOqY66zsPu137TDsCOsg6vHpCOri6cvqmexS77XyyvUW+aT7GP3n/YD9Pv1I/Lf6F/lT9+z2GfdB+Av6H/xP/uj/GgEAArcCsQIEAhAB+/8f/9P93Pz/+/n7B/xT/Nr8D/5b/x8AvQDHAIYBTQGvAS0BCgETADP+uPxW+/b6WPo0+pP5p/lG+d35Evsj/zIAqAB+/mH8Qv0d/Ef7OPq8+gMBbApQFU0fMyVDKRksBy9bMqoywy/JJBka7guLBREBOP9P/aj5e/qy+/kB6gb9DpwUThoHGzga3xdaFYEScA7DCrsH9wU+BKoEBQbcCh0QwxUIGZEaDhqkGEQX7hR2EiMO+QgxAo/8r/gd+AD5Nvoo+0P7Ifz6/KX+XQAcAX8A5/1c+vf2IPRJ8kPxK/Dz7xnvne617uTutO+F7/Xu3O1P7HLqT+hI5gXlz+R/5TrmSece6Jjpxeu37QHwDPE48UXwU+8g74PvRvB28BTx5/Go8xT1yfZL+Nz5WPvo+xz96v24/uP+yf4o/x0A/QCNAdkB8gFVAi8C0QEnAYwA0v/V/sr93vxi/B78KPzG/Jr9Xf67/sX+gf8CAJcAMgBr/5z+u/2c/Bz7UvoF+pf5o/jT9/P3WPj99+j4wvn0/Bz9Of3R/CP9Vv8X/3//NAArApIFswl9D4sYHiGKJyUtzzAbNR800i1NJagcOhcsEDUKvgE8/Pz27vX3+UUC+ApxD2AQARJpF3UdPSHbH+IbixUKEIMKzgeYBYUEnQIMAmUEagizDUcRxxTjFkcYaxeKFHUQoAunBiYBhvwh+LP0x/Gx8Ffxe/Tu96z79P2O/2sADgEnAjsCAQE2/VH45fMd8brvkO5z7TLssust7OvtQ/Bw8n/zNPNx8pHxZvC57sDsOOsD6hXpj+id6LLpHevS7JTuyfC78jb0AvXX9Zj2VvdA96b2pfXG9Cv0RPTT9Mb1iPZJ98D48vrL/SIALQKXA9EEfwWKBRoFxQMNAmb/+Pya+hn59vdX9xD3Rfcz+D357/qT/M3+jQCnAQ8CkgExAUQAnv97/tv8yfqz+D/3mPbK9Uf1//Qh9fX1PfZ69//4Qfsz/dv+gwCWApwD6QPxA0wFHwjcCeUMlg85Fe8aniFAKTAwmTQlMz4unSiHJWohsxtgEsYITf+R+MD15/cy/fsANgMKBcUKrxIMG4AgeCPJI50hTR0UGI0TzQ6+CdADh/8c/Xb8P/2a/7QDaQjpC0wOdw8rEOoPhQ4SDAcI/gKl/K/2LPKC7+LtKO0g7VPuY/B180v3dft2/0sC+gMYBB4D/gAD/qv6Cfdo87vvROx86RPoKejm6Q7sSu4N8MbxiPMV9Yn2NvcN92n1L/Pk8FbvFe6i7EfroupH69zsAO9e8Sn0sPYF+a/6FvwE/U797vwD/AD7wPl1+Fz3DfeX99b4L/rI+3n9Lv/jAHAC4gOZBBAETgI4ADn+x/wt+zr5VfeZ9bv0ovRx9QX31/ib+nr7w/wS/mz/NwACAEX/cP6W/C774/iP9zb2/vQp9KXzBPRR9Wf2X/iO+yj/oALvBFQHigjHCoENSA85Eo0TnxSqF1Qb7iG1J7or2SxVKz0qfCfyJnojHR81FXEMOQStAO3+v/2K/Z38Iv8yATcIIw4kFqkbXh+4IDkhliAPHoEaNxWrDwsJxQJP/e75S/hS+Ej5Dfv+/Hz/rQL6BZUJMAt1C0IJcAYhA3n/aPv19szyDe+Y7DDrkevT7BvvFPLJ9T76Sf7VAewDDgUwBVIEfQJP/yH7KvZs8YbtGetu6Y7oPej+6EHrpu6a8g727/jo+jb8J/0//Y78kPqO92T0ifFv77DtTOxT6wLr0eul7RLwvfIx9ZP3+/lB/DX+A//9/iD+Ef0T/N/60fl9+JP33/bl9pn3vPj5+RT73/un/Gr9Mv6B/i7+P/38+6T6ZPka+Cj3aPYh9hP2Lvbv9sj3Y/mA+sP7v/wQ/fr8Qfxp+7L6APpP+BT3ZfXi9Mr0D/Y0+Nf6AP7I/6QCTAXbCC4MiA90EjMVThhYGloecSOtKDAstywkK3Yp4ic4JRYjgh6DGFoQxAg/BP4B5wEQAMj+AP4qAPUEDQvDEd4WCBvHHDkeOh8wH14dDRnJEw4OsAjAA5//Ofze+Yv4MvgI+c/6RP2u/ywCiQS2BqMHNAdrBa4Cdv8Z/PD4ZvW28RXuwutT66jsH+/J8aj0Afjt+y8A8wN1BmsH0AY3Be4CJwC+/Lb4oPS38Jvtr+u96qfqRuuX7NDujfFg9AX3V/kz+z78hvzl+7f68vic9u3zYPFZ79Ptmuy+66rreOxT7rHwTPPJ9Qz4Qvoo/Mz96v42/67+a/0J/A77Pfpy+Wr4SPee9nv20vZU9+j3k/gt+er5bPrZ+gH77/rR+o76Jvqk+SH5tfig+Kr4+/hD+Y/5uPm9+aX5zvmX+Tf5zvhM+HL4CPgA+NH3nPhl+sv8+v6dAE8CbQSFBzMKFA7rEBYUfBY0GQ0eZyNwKVQs+CyqKyUr0yo7KW0mGSCFGcYRCQyyCGwGCwR7AIr9Iv1yAPsEKQqBDTkRwxSPGE8cMB6vHjEc3RiTFK0QqQxMCMUDq/4G++74l/jK+N/4cfmL+gz9yv8MAk8DOgPNArYBQwCI/hj8A/mo9cby1fAD8JTvb++37x3x1fMO90f6lfyz/m0A8wEBAyUDLALU/w39G/rK94H1K/OB8BHu7OzO7A3ueO8S8aPyZPR/9pj4qfqn++T7Rfsr+sH4G/d09XTzU/H/7lTtg+ys7EbtJe6D703xg/Ol9df3wfli+3785vwh/ff80/wM/Bj7CfoF+Sv4O/eZ9ib2HPZK9uz2sPd4+Cn51fm7+ov7Pfxu/F/88/vA+277NvsN+5T6JfpK+bj4ffiF+KL4l/h5+GL4WPjE+OH5OftX/WL+8/8GAagCNgVKB4cKYgy6DpkQuBNIGDQegCO0J68qGyzALuAuwy8XLYAp7SMqHaMXzREUDrAIcgTK/5T9K/0X/vEAbwP3BxILrA8vEzgXGxoUGwsb6xj2Fl0TiA/gCocGgAL//tH7Svmq9xn3yPcb+TL71PxF/jD/LgAOASgBhQDp/ov8hfm+9kz0nPKX8N7ume2W7a7uXPC48lb1afgY+5H9tv9zAY8ClQLSAXMAlP4b/Eb5fPbx85Pxpu8k7m/tdu0J7k/v+vD38rb0bvbY9+b4a/lG+e749feV9rD02PJk8fTv1O7C7Y3t7+3F7vbvY/Fc84X1kfdb+e76afx6/fz9NP4n/uX9L/0R/Mb6hPlj+Hr30fZU9hj2DPZH9hT3/vdL+UP6PfsC/Jj8aP23/Ub+N/5D/uP9NP1S/Eb7B/tE+tX5b/gQ+F/3OffY91f4l/on+7n84P2bAOEDvwa6CR0LEw7jDsISpBXZGskeViDfI90ljiswLfAuyC3VK5cpHSXOIrAd2hmjEjANeQhxBdgD3ADdAPH/+QGRAygHqwvVDt8RBRNZFZIW5xZzFU8TuBBNDeIJ9QUcA8//8fyI+hD58/i0+O/4iPm3+v/7yPxa/cf9zv38/Lv7VPr6+CH3+vQc857xhvCy75nvKfAy8Wzy1vPT9fH3I/rw+3b9ff7s/sX+O/6N/TT8Xvr/9931CvRK8vnw+O+w77nvTPAr8VryufPZ9Av2H/fU99r3OvdJ9jD1KPT88sHxifBI71Pu4e1V7jrvQfA18U/y6/OR9ab3evk/+238D/1L/U79iP0t/Xr8L/sg+gr5A/je9jD2CvYS9kH2SPbg9nv3fvh3+bT69fsH/V/9Ov1k/fT9sP6a/kb+Zf39/FT81fu3+8/7+fuR+/n7Y/wb/rb/YAHsAzoGJwkHC2cNnQ+BE2kWlxlfHNAevyHiIzon8imCLLgs0StJKkgofyb2Ivse8RnDFIQPTws7CP8FzgPlAQ8BwwGNA9wFbggVC9oNHBAGEk4TNRQGFEMTQhHlDkYMVAljBicDawDR/b/78fl8+PD3ufdH+Hb4FfmJ+R36mPp8+lP6bfl9+NL2d/Ug9Abz5vGm8OXveO/q76vw8PFx8+v0hPYI+N/5iPu7/A/9o/z/++z64/lI+Jr2ofTR8jHx8O9q7xjvW+9l7xrw+vBO8n3zlfR99ff1XPYV9gb2YvXl9Kfzp/KA8Yvw/O9R74Lvle+O8FTxlfJR9Gn21/hF+pz7evyU/V/+wv4A/9D+QP6i/IH7y/oY+476A/n09xb35Pfa9/z4v/nT+tb6+fpy/A/+7f+h/+j/LgCBAKgANgDSAKsAYgAC/8D+7P+AAH4BmwGxA9AFcAfgCHALpw7cEfYTdBUxGO8Zfxz6HeMgCiOVJDklNyU5J94nmSjcJt8kIiJyH/kb1hjPFTUSbA70CU8HuwVJBXsExQPgA78ESAauB7AJxgtlDSwOaQ54DsEO2Q1YDE4KTQg+Bk8D5ACJ/kj9oPso+v34ePhU+Pv3P/hu+Ob4gvjx9zr37/Z79nL1V/Q2837ytfEu8R3xYPHn8ZzysfOF9Q/3nvio+dD61fto/I387PsK+535J/iQ9ir1kfPm8V3wNe/C7oPuu+7z7pjvKPAA8drxt/Jx88bz6/Pw863zRfOl8trxnPEu8WDxt/CL8I7wWPF78n3zLvQB9dT1oPYa+Kv4C/q6+eT5xPnP+Wv6s/mv+fT4BPmK+Kr4dfgW+er4yfhx+bj5jPoy+n/6m/vq+7D8BP2u/dL+uf4zAOkA0gGEAiwCzQNlBIYFpgVlBiMHXwjqCGYKkAvTDNwNww6EEQITZxU8FvcXNBoaHHUeFSDXIYsiNCOJI6EkSySVI1shZR8aHdsaUxitFf0SKBCADcILigrJCdUIJwhKCFkISQmRCVIKlwoHCwQLCguECsMJxQgVB0kGgASXA78BQABU/9v90/2W/ID8q/tI+yf7yfqf+gX6ifmZ+MP34/Zv9m31bfSj8+nywvI18o7y4PKc8y70pfTZ9cf2rPf09x74R/gx+HP3tfYo9jv1gPTf8mXy9PGD8TXxs/Bk8aDxzvHc8X3yV/Nk8/Ty7fIH873yufEB8Q3xkfDF797uJ++l77/vyO+n8IbxZfLr8vfzVfX79bT2C/cF+G745PgU+ZT51Pnz+QH6DPp3+pL6t/pr+p76efqe+k36lvqf+pP6kPpQ+vf6Jvvk+1D8Gv3e/dv+8v8hAaEC7AP7BJ4FmQawB4QILgneCXwKsAquCoALaQxKDdkNdA5nD0MQlREQE3oU3xX2FkMYmRn0GlwcQB3hHS4eVR4SHkcdJhzNGg0ZKxdAFVATRxE4D7wNewyEC6oKMwrSCXsJgAnaCUMKcQpTCiMK3glDCeEIVwiuB8YGugXOBB0EXgPdAhMChgEkAaAAHwBV/wH/iv7b/c38F/xC+2b6uvjO92H3jvau9Xz0pPSS9G/0O/TD9Gz18PXf9VL2zfZC9273pfbb9if2Nvbw9Fb0k/Qr9PfzyvIs8yXzRfMD8xLzbPNT84XzfvPe82vzmvNE8znz5PJw8lfy7PHy8cXxH/II8vfx1PHn8UfyhPLH8svyHPNv88TzCvQ99KL0HvV89b71Tva49mD3L/gn+Ur65vpw+yH8z/xw/c/9L/5A/uL9yP37/TX+ef6b/q3+Df+y/2AA8wB0AR8CwwJsA+YDcgS0BMEEEAVuBb4FxAXCBcoFSgYBB+4HughcCVgKcQvqDAoOJg9PEF8RLhLAEugTpBToFOMUPhXCFd4V2xVrFTMV1RS0FIwUKxR6E+kShRIjErYRSBG+EKMP/A49DqgNvAyTC7oK0gnwCO0HvAc1BzYGiAUfBbQEPARSA0oC2QEHAhgCEgH8/5z/uf/l/p3+U/7p/oj+Hv4V/tP8JP/N/WX7Yvv8+1D66Pe3+eT3i/YE98H0cPVv9yH1BfRn9SL2qfXi8wL1pfSY9Dr0kvKp80LzU/M/853xwfDV86L03e9b8NL0L/WV8T7xOPXO9rzzOPKO9fP1JfPa87r1MfNA89z0VfTI9KLz0vWQ9TXzlvWH9iX2RvVX9j748/ec9jn5l/vG+PD3ffog/an7UPs6+yD8e/0j/Nv8tv3H/TP9pf3o/tn/SgCl/5f/8AF8AaEAzQP0A20C4wKEBOgEQAQ4BeEDkAQdBSoFywaiBAwFUQfWBuEEdAa4CIYHTwUgBsgINAoFB1IHXwo9CckIdgpHCwUK0gnICxYLzQwKDBMLAQ3VDFoLSgzdDGgLRA2VDF4J+AqKDVoMQgnACaYMDwwdCQgISgwsDCMK5gi/BwoL0grFB+0JagWMBjwICwXYBVQDCAQEAzoCmQWyBGIA0wQmBowA/f+FApQEgQCP/Un/K/8dAcj+qv0H/8X6zP5m/6P6YP7O/Mj8Ff6u+mX+m/ps+Gf8SfxM9cj3GACu+Crys/p7/0T0WfOC/aD6IfVk9zr92PbP9VP66PmQ89nyOv9P9jbuefdf+3/2rfTc9+z2q/Zw+Ib5mfTx8c7+4/Zj8pL2zvnM+l7zOPWR/Ln7BvO89N3/ff3b9VHwYQWJCHfq//OPCRsCWPJV8NgE5wRt9Jb3wgPAAVr5ePwdAGYEFvnm+7oFYP/L+BD98wqI+Wj5gQOgBp0B0vI5BrsNlPgS+1UMygR4+QEGCAqB+9sG8wOv/qwFZAf5AXv87AljCbP6HQHoDbQD6v4nBg8HegS3AgUHMgle+xIGmBFJA9Xzmgd1FyYDiPTGA8UYwP68+3f//hEqESDuBwdtDZgIL/+TApMHsgCGBn4H8gOJ/fMFPAsU/EH85g5pB+f2jP1OEC8ML+iBEmMNzu83CKMISv9R+yMNdQkd6LAHnR988J3uNBghBNr0+gK5DcL2yP3GDG363fw5APL+sgFt/ff/NP/I/qP9dP4nBXMBs/eY+GwJAAFd8Mv+Vwky+gT0qQRyBen02Py5CfL5rvFREM36pPKBBb4DzvjU894FIATK8OUAUwLe+ZH/kQBl9+v/EgMr/VP42AIR+1ACrQFy+RP5k/vyFZ/nBOiNMBbncuvkEH0A2/wt+YoDh/pK/90Kk+/a/tkIXPsf+XwD1QKt7+wE1AZo9pr3eg14+o72nwqs+3EAMfg3A94GNfgO/V0AswLY9+UHhvhKAuwE7PUmAdD/DA2G80v4/BDh/5Hx3wf4CdDx4AMnAq4AHAJg+m0L0PmL+M4NVvvw9+cN5PQA/5gNmvUBCdT8kfkAEvv5p/aBB7YMH/az7U0iuPjy8O0Hqwd5Cx/k9QYVF4n7j+0ZBpYOyPr487wFYRP/6hP+yBL3+Kj7sAacAO78LgcD+i/9Pw/O/KHydAbnBrr5e/0rB1L3MgaCACn60wOIAdUAuPJdAuEOaPIS8Z4XawE0434NlBT45+L+xA2v/F7x8gKIDVDs5gp7/uj8gwLO/rL3FggTCaLe2xFOAjD3uv3dBAf2MgaFCxXh7RAqB6jyvPkZCUUCb/d6/hAIH/cNBND7O/0eCcD4r+1bFsP/2+zb+4MSmQSR43oItA0n/ND3Nf/pBbwFSfHtAiEI2QHE9F8AHQq8/mr3tvrEC5X8qvuT/6ID7/x6/e4JCfYe/LELIf43+D//2Aup+nPzrBSZAbziUhd3CFjtxQTkBIgD0/wW/PMCuwpX+CvzmhMaAGnuew4sCGnxVgLBCsD9mP0q9jIP2ARa8EoDQgmb/6T8qQS38aIS1APW7UwK7AsA9R38ZA+Q9LYGavzg/fMLPPJNBqQMufPB+dIch+/y9eEfA+5F+eQONgRC9WL9hwqK+2gCEvzuAiUFb/ksBQr/UfuBESnvrvrPGZPvzvqbEZL6uPjnBKH/8wHB/d362gl9AW7q8xVaB03i5w6aGAzUvxE8F4TjfP3RDpUCBfiK+YwI7QzT7if/FgwGAw3yIwJ9CK38GP6VABgDNvk9A5cCpf6W+vAFXgFo/cD/i/nVDbr4v/tNBYf+n//O/bn8Ggkj/LXywggmCjv1a/dNCuj/dvzVBGX0OwudA3Hy3QQWBDz4Mgf49kAFNAJv9wQMk/oO+UEGiwb19XH++QYm+X0G/PY3AGELBfcP9+UORvgY/lYMK/CkAzYE2wHB87oD1wzE9gDzbwoTFNLkkP+IDeEEHvGX+8IPTAC981cB7AYcBBn2xPQyF2v7KO2ID0UGm/Q6/a8Krfqj+WoLNPzD+4n6RwrBCJTq8gVkEtnnKAt+Bm32Ff5QBwEEY/GdC/kBE/gIB30CEfY1B8T9QAIV+mkDMAQd9I8P/voQ7osX5/d58zYRgveF+L0DnQcK+Vn4PAsCAPv2PwImB6b7qv2+/yYEVfnjBs75ogCsBjjzRww7/Tf5+gbH/oj6GwFDAor/v//JAs37HP4xC7T8QfLzBhgSkegV/lUXbu7I/ugCj//BB5vvlwPzFWPhRQggFIrvAfb+FZv9vevvCgUGj/kl+csAOg867QECmBB18539sADTDBLrKwqsDsrj5AZ5ExTwWvjiB9YLj+vqCJgIWvTxCf/xKgsr/g33XxQK8Bv93BKW9cT8qQaE/Xb+rANc/DoA/gFAA1T5wAZh94EL8gYg5WwUJAuC4g4OoBFb7EP0AhQzAon1NvoBDeICgupDFkb+efdh/tkGOwr/5OAPwxDE5mMAZg///Kn2zQaABdj0RAUhB+/2QP5OB135rQtC9I0CFhG65RoPGw0/5iYNHAELAkj++/FBGRPu3gUP/ZP+mgy/8TMGvwSz9zMJg/xu/xQDhP5zAgj7XwPK/swBlQNq8mAF2QaNAWj38fpWDwgGduxPB1ALqfih/bMJefjR/doGevamCgP3JQT6//D09Q4G/hn7zfysEXT28fN4FyT6zvZIAg/+/gfC++r02Q8X9/P56Q7H97z/uv96AUX8+AQd/134uw/38gH+HAt1/+z0EAC0DPACYuwTBgES/OawBMYDSgDL/Gv7JAYXCOrp7QpXFq/ang1RD4bwqv6k/fQN//Ab/kQJowMV80D7FRyk8vHwuwtPCg7xdQGgApL9sgI7+eYFUfo7BDgDVvbWBoD+twF5/iYAswUo860Hd/6vC87y3P1kC6z2BBI95sz+wyOu5y7t7h/R97fu/RFZ/AT5YQUj/V0G5f7Q7zYVyv9n7P0PrgAC+X4G5fri/xkF//1PAvb9e/pJB+UFHvHlAigEmARk+BUBuP4PBfINn9+ADhYOh/iN9Wb6NRvv9YfyGwgGDQ705PcsFan0MPQyFNX2ovShDln7hfVIElz4SfBQGer99eg8DdMW0+JH+yIacf0U7m37JyMD8gbcAB+jF93XFQRHErX1WQM2/k//RgGwAUUDu/px/hYEEPsY/QwJ//t09y0O5fw8+KsFZQCq+ssENv7i9/4PAfG8CwT2bQNvDE7r0xAy+U3+9wLR9wMPW/Mn+nkVl+hgCFULpu9rBlUB6PqLAVsHRPJGA3oO6fFK/BQLxv9I+mn7Pg7S/0rmgiKe9zrnWhZdASXpuw4fDkrg/Qz+DpD0PvjCBEANwPOm9d4TJP7n8S0N5PfZ/MwQb/t34LAk1g8vyXETuRxx8IvtSAzLD8Hve/qmEszxg/uyDyLv2AHdDcDrMQGxEursVQMmCdH5kwBJ/SQEngMF/XXtLh4S+WzlbBrq/6T3sv6NAoYIIPoK9fMLHQDa+AkCewa//Nn5LgeE/UkDPQB67wwSigbH8XX6+A9m/PTylAbb/+0AG/MFDRL7wvgDCkUC0fzg+JQSTPFG+OkaE+889x8U0fhv+0UARQqV/H/qFxXjDZjnCf2NFc4BG+kPCaoV0uzj/ewIiPz594kJrQez8NYFdgKj/NYEpPjMAMAK7vUv/yUFbgC5+3QBGwJb/FMCJQEd/ln6+w7i+Tn4EQq2BDD7/fBsDmsAGwC3/OX/6AkX+dwB//65//QGmPN0/TYWgux6+nQOMAUx/6Dt/BDQBqnnaROw/qj2RwQ3BnX7ZPkeCCoCFQNF6pQGQBXV40cFiRD663oGEAbK+fcDf/4U/ckA0AFS/d7+hwPp/QcA9wGD+vMEkwY2AhTsygckGHHjev3PE6MF0+BTA0Mcw+21AlP5nwEEELnu4//GDGD5Eft5BU8Fovlm+loOnPeV9gIV4POG+4sOt/it+IkEhQR7AkH1cQO1Bpz73Qr79iMAuxAY7yEEzQ0n7zsB+w2U/YbqXxOBESXVMg+bGBzjUgEJCnD9RvPIDzX0TvyyEXv4G/AJDp4My+97Bov4RgpG+wkBPALQ9doNLvyZ+vP98wcRAuH4/wfzAL36vAPUARkBGfeoBBkO1Oga/qQPOwmU5hX2XSGE93LySw9d/eDxewx9CqzfbQTWFG/wsvfZCtUAbwIe/TD9ewb8AaEBIvfQ/xQIRvv0/u//6gnO+SDzxwbhDEkAE/PP/bEOgv6a+I4BXf2sCYn9OPei+7oG8g4R4V/2wR5aAiHqe/tUFUMBz+ssAjkLyfy49AQBnAaF+kMGLf2r958Khwkd8aH95Atj/Af7jgM1COv64/2EA3T90Qkr+j72lgo6Bg/4Sv3CCSz/6/Nv+rMJi/4i/7342AR6BhT6JgLs/8IDY/wa/F8Li/43/XcEIftw/SkFdweq+yT4Dwjf/iL5KAeyBWP6/vyAB9YFmvVR/BIP5fwa/C4DegKoAAv/cgDT9jMErwdM+4r9v/96AaMDtPjE+68HBQRv+Fj+7Q37/XL01gFJBgEAU/sJBf4AdfmQB/wCQft7ABIBjgF0/AIDugfA/En63wJrBrj/1v7I/k0Euv8J/7P/Hv+4BmcCZv1U/C8JmwWd9aT7CQa/AV37+/85AZj8DvykAzEDGgJ3/sP/3AGi/X7/YwBI/L/5EAFGAtv7G/9KANr9hv69AS8FQgBp/XL/UARCAZr7rf8OAuj9DABsAp8ABv1AAPgFK/wx/VEGSQCN9537twTUAiL7wvzHAY4Cxf3u/XwEPwHe+0wApAQ3/477P//r/0v9ewKVA4b9Sfzr/8cD1P+j+vv/ugNV/d/81QV2AfD6MgGSANL92P/5A0H/aPpRBc8D3f5kAgr/gQOmAcD80AQb/wb83/86Af4Czf0O/woBb/4R/yQBSf9W/w//rf4qAHX9Pv25/n/9yf14A44Crf68/3b+5f4vAQIBlQDDAIP/Xv2g/83/yv4cAFT9KwBMA/L/yP0b/Qv/yQAa/8v+vP6z/SH+Ov15/tH/lP8MALD+wP4UAoYBtABUAJ8AMgTiACn/VwFH/+T+VgF2AZcA8//j/48AR/8M/3n+k/7l/SD8Jv2D/+D9J/zj/qX9q/yA/+7/AP9J/7n/q/+p/3X/AwC+/6f9sP6eARsBSP+4/28AtP9ZAaYB7/8NAdQAU/85ADABMgENAM/+Jf9g/9j+of4r/+f/JwFPAakBsgIJAqT/pP6lAIoAX/9H/hL9f/05/p7/xABIAD0AsAAsAAoAPgB+/7L/mQC1AHIA1f9l/8/+eP9lAWoCaAIIAmUBsgDkAI4BtQFOADsAUgBjADEAMP9b/ysADgHNAPwA4QDL/07/2P6k/3sAVABM/yn/S/93/87/PP+4/0cAJgDn/1kA/P/Y//oA7ABQAYICiAIoAeIBEwJZAhICVQF9AekBdwGs/5v/kABDAJj/pwB8AOr/X/+r/0wBoAFOAEEAjQFYAVYAvP9tAJgAAf9n/mH/nQC9/2/+EP/YANgAX/9q/4P/0P4m/s/+Pv8I/yL+ZP6A/zUARABaAHQAGAAzALD/7P4N/qr9yvwV/XL9U/1B/TD9wv3l/Xz+H/8q/5X+Ff57/v/+rv43/v79ev7j/vj+W/97/5j/PQDVAG4BuAH/AEsA3f/O/3f/A/9g/if9gfz9+xb8JfzS+/H7PPyu/In8cfxQ/DX8lPwA/Uz9Zf2D/X39Kv58/8IAKgGNARsCzgENAqIBewGZAZ0B8QH1AbsBYgHuAdYBegI3A7ADzgNRA1MD4gKGAr0BDwKcAhYDugOaAzoDlQKVAhEDkgQlBX8F/AVNBnEH+gcJCYwJoQmlCXoJLAkPCPoGNAbDBgAHuAb4Bq8GNwb+BYwGdwZQBgkFrAMAA8oBTAG2AKYAtAAgAUEBDwLZAnECoQIqA20D3gKyAYgA0v/I/sr9QP3z++X6qfnI+Ob3D/cE9rr0HvQN82vygvHx7x/vu+7x7mnvZe/27pjuVO4P7n/tc+yv6gPoFOai5P/jXePH4inj+OSd57Lp8+su7t7wuPN09sn52fz//WT+dv+bAc4DSQVxBsgHGwlVCrMLCAxJDMoLiAszCwALVArYCIcHxgX4BMQDyQP/AgoC3gBjABwAZ/9G/7j+FP8n//v/AwFKAqcDRQWgB7gJxwtkDeYOWxCeEWATyRQRFlIWCBZ0FdEU/xMpEswQiA4QDGoJnAerBr8F+wSBBJQF4gViBYkEhgRPBdkFSQYCB6cIkAleCmMLAg0CD7AQWxLHE64UfRS9E+YS8BE8EZkQpw8YDgsMJwpiCGMHaAaOBdwEeQSgA1QCBwFCABMA5f8+AMsAhgBQ/4T+PP59/rP+wP6H/vH97vyg+4P6KflI+GP3y/bC9Uf0gPFR7yXtlOv/6Y7ot+aJ5DXjf+E84gXjAeUd5rrn9OjI6gnsRet363brk+xm6/jo6uSp4rzhyeLK5tHryPDu9G75kv5AAxYHlwn8C/0MIQ0xDMAKBwhVBfoD8gQmB1YIiwfKBZoEugIpAej+DP2a+sH4Dvci9qD1J/UJ9k73wvkB/FP+Mf9n/9n/hQEKBFYGCQgCCeIJAwsIDWMPxxFhE8EUaRWXFaYU2hLtEEMPnw2iC+sJagd5BRoDHgKSAbcBcwEHAVQAw/+t/2//8v/v/3EA+QDaAawCpQPoBLMGqAlCDLoOiBDDEcQSjxMEFAYUzxOwEg8SehEwEWYQIQ/kDWsN0AxBC8UJNQgnB/YECwOxAbkBZwEMASABKQJwA2cDwwOBA6EElATBBVIGDQelBn0GlwY7BvgFlgSWBMkDigMVArMAo/0H+kz24/Lg8H3uoOw46rHoEOfZ5h7nkefG6Mnon+lE6Y3pwegq6U3pVeom7AvtzO5g7svuI+5t73Xvbe+17QrrlOgu5Unj8uHE4+LmYuy/8tj4Rv60AYwFwQhkDAQOMg5aDLIJ8AatBAIEPQT7BKkF9wVgBloFlgPYAK/+rPwO+zb5Y/em9QH0rvOm9Pf2kPkN/Nb9n/+8AJABQAL8Ar4DwgRbBiMISgq7C5wNvw8hEsATbBQMFBETnxGQD3UNOgtTCYwHUgZuBf8EOAQgAxACVAGfAOb/+P4e/ln9+/yV/RT/9gCKAk4ECwblB0cJcgqUC+AM3A2NDvUOfQ/eD3EQBxE9ElETthP6EnsRfw8wDWcLpwrYCsgKmgpaClQK8gkLCaYHPAbgBKMDoQIvAsUCugPBBOwFAwgmCrsL2wtXC5UK0wnsCCwISwexBhgGXQXoA4kBzf45/Oz5RPdS9bzzhvJ38Mvuj+1B7SPs1uqW6QDp4uiO6ADp1ukT7GftcO9H8CfycvLS8qLyqvJm8y7zR/Ob8aXwf+4v7X3rNerO6B7n4uVY5b/l7+Zw6E/rB/D494ABXwplDwoQrg5FDZINfw3qDBcLfQmPBxIGzgTgBF8FvgV6BbkErAK//jz52/MY8cfwMPJS81/0H/VI9un3vPkg/PT9qf81AGYA/f8JAAQBIwOeBoYKpw7EEY4TxRMVE2USsRHuEFMPQw3KCgwJ+AfgByoImQiOCJUHegUcAmD+1fq0+DH4Ovkg+5D9ZADiAtYEHQZtB6kIGwl8CIcHSwfaB8wIFQo3DG0PjRJIFHMUnhOfEjQRTg8TDYkLiwq/CcUINwgkCQsLDw2fDTwNzws9CjUI9gUABH0CvQFwAR0CiwPiBTwI9gniCvYKmgoOCc8G5QPBAaAAqAAeAWgBZAHTAMr/Q/5U/Nb5pPYA82fvp+y46iLqKOo16+7rCO1/7dLtsu0P7Y/spuu/61/rdOwd7VnvZ/Hp8xX2efds+ID3UvbA8+jxuO8H7nLsZuvX6lnqD+ps6TboK+a94xrj2eU77Oj0Nf0gBNYI9guUDfwNdQ1ADGULZwryCScJyAhYCLAISQn6CRAKbQh1BFr+8vfP8nDw2u+y8PXxsPMI9eT1LPaZ9lz3O/jw+Kb5j/qG+8j8zf42AsAGeQt2D/sR8BJeEiMRpA9pDpMNRQ21DT8Oug51DicOaA28DHULdgkzBhwC//3v+nb5bvli+i38fP7GAGYCIAM1AxoDOwN6A+gDXQRjBe8GkQmkDAkQjBIIFA8UcBNFEh0RGhBHD78Ogg7wDrgPlxAqEOIOMw2CDGgMLAwMC5oJnggoCOQHYQfeBq8G+gaMBxIICQhyB7cGeQa5BoQHYgjoCFMItAa+BCID6QGSAGv/gf4g/hf9T/vT+Nv2N/Wk85bxuO8V7h7tQuwL7PjrW+yX7LLsmew27Lbr5eqX6tzqG+wV7jnwHvKd8130D/UH9Vv1nvSv8wXyKPGd8DTwHO8K7uvsxexN7O7rjOpI6O3mmeaN6qnvBfiJ/80GOApoCqoIQAZOBuoFfQfnB60JWgvSDGAOVg46DnUL3wjpBDIBPf2V+BP26/Ok9Vv3mfoV+z76rvdX9Tb0K/Pr8kfyu/PH9Qv6Bf5tAqUFKgi6Ca4KpAusC3kLVAqIChUMcQ99Er4UbRVqFY0UEROCEE4NoQnLBiYFbwTaA+oCQwLaATECIgLIAVgAo/42/dv85P3L/xkC5AO9BZIHkwkQC/QL4AyvDbIOJQ/uDw4QrhBnEXETqhVJF3IX9BWEE7kQVw4ZDbkMQQ3HDY0OwQ5dDvgM8AqcCEkGnATGA6wD3wM5BOgEuwVZBssGOwe+B6cHqgZ+BC8CJQBP/4z/4f/7/2T/Ev8M/qf8Z/oD+ML1GPNv8Xjv7u687Y7t7+wC7Qvtqezo63fp3ucn5pXmE+ey6EHqKuwE7hnvLfBy8OvwtvC48A7xLvGR8QnxafFN8ZjxbPHL8J7vg+4x7dPsSuxM7dTu1PM2+mwBDgcnCQUI1ANeAMD+l/85A94GPwxHD/IRexAVDnwJAQVhAm0A+QCaAJMBdAAtAIj+D/4J/bL72Piw9WTzMPKu8o/zz/WE94z6hPyu/iP/Nv96/i3+G/9kASoF+AjyC+UNtA5YD18PjA8PDxIPRQ9FECURTRFkEPAOlQ1WDGMLpAmOB7gEogI6AUcBAwK5AhkD1QLjApEC+gH0ANP/0/+cABgDFgZ7CcALNQ3uDUMORg4vDrAOBRBuEtAUPBd5F2wXwhXaFZEVLRZ8FXcU2BLmEFgP9w2fDUsN6QzKC+kJvAd0BcADLANAAxkEyQM4A10BNwAO/6/+3v79/rr/V/8X/3n9Hvzn+t361ftp/Gn84vrp+Hn2fPTn8kXyCPJs8TTws+5I7Qns/OlA6QHohehp563nEufa533ntOcE6JTotunS6XPqpepj6zXsN+1x7lrvye+k7/ruX+6C7T3uY+8Y8n70c/a3+CP66PzO/cAAVgL5BHUFmATPA5QC8QRCBlsL9wtVDv8KLQpuBtQElQIdAaAC0gIyBu8EBQWOAEn9kvmb9433zfcb+db5HvuL+037+fmM+Pr39Pg/+/r9owAvAmIDjwThBSAHlwc+CAoJ2wptDH8Omg+dEIgQnhB6EIQQBRDIDhIOKw26DagNew5dDX4MTgqoCOoGJgUxBJ8D7QQwBjsHFQezBdoEpQMxBKUECQabB+QIfgrGCrwLWwvyCwsMwwwODkwPXxF0EucTXBTBFMcUeRRLFEITqhKaEQoR4hCvEKwQew/iDTIL3Ah3BlgE3AJ/AS0BCwHCAOn/6P3I+2j5efhn91L3QPc/96D3QfeZ9u/0CvSR8qjyvfJ889Tz9/Mf8zvy9fCD79vuL+4p7qHtt+3g7NbsrOvf6tPpT+nS6NvoEukQ6Vzp9+i86Cfo3efH56XoZeli6kfr7etm7Hjsb+xp7HPtsO4H8ZrzxvWB9yP4+PjT+UL8tf4HAoMECAZtB2MHkgcUBoQGrgYyCskM+w6hDiIMcgniBlIGmgUfBjAGsgZNBxEHGAVEAlb+bPxr+8X8W/0p/hH+E/17/S38HPyZ+pH6QvoV/FD+SQAMAsACOQPgA1wE6ATjBOIFcgc6CmENdA+GEB0Qbg8wDuINkA1iDqgPcxEUE80T7xI4EG8N2wrXCQgK7wrjC5IMmAxrC70JFwcmBQsEoAQJBgAIFwlTCUsIpQaKBdIEtwXJBu0IwgotDOAM5gs0CxsKMwpfC7YMiA78DlsP/Q25DN8KKQnYCFYIaAlaCX0J4wekBTcDxAB9/4P+Pf46/gH+bv1c/Gv6U/hU9tv0XPSJ9Nf09/TH9NPzwPKW8ZjwF/De73fwlvBf8fXwcvDg7zzvCe8E79ju3O7R7t7un+7s7s3uCO8K7yjvIu/27g/vqe5e72nvZ/Dq8Nrx4vFQ8nLypPKh897zJfVx9bz2HPdF+L74Q/m9+RT67frQ++L8yf3Z/rX/YgD0AEYBaAGzASsC8AIFBAgF0QU7BgcGgwUVBQkFFwWtBSIGxwYqBzQHsgavBfAEMQRhBLQETAWSBaYFVgWuBBEERAMcAxUDtgM7BO8ECwXoBH4EFAT6Aw4EggQOBc4FYgbOBuIGtQZzBmoGmQYSB7oHRAi+COkI6QiiCFgIDgj/BzwIjgjhCAgJ7AilCDwIxwdsBzgHLwcpBzEHDwfbBo4GLgbeBY0FTwUmBQcF8ATFBKkEfwRYBDIE9AO4A2EDMQMAA+wC2gLEArICjwJkAhwCvQFuARcB9wDQAMUAtAB8AE0A6f+V/yr/3P6h/nf+c/5L/iz+5P2O/Tv93vyo/HL8X/xK/DL8EvzS+4/7QvsK++r61vrO+sT6tPqU+l/6JPrw+cz5t/m4+cb5yvnE+ab5gvlj+U/5Tflb+W/5ifmR+Zf5jvmF+YP5i/m2+df5Efot+kf6Vvpe+nT6e/qp+sj6Afsv+1D7efuG+6z7tPvX+/H7HfxU/Hj8qvy9/OP8+vwT/S79Tf17/aj93v0M/jz+Xv6D/q7+1/4G/zn/dP+p/+H/GwBPAH4ArwDiAA0BOgFwAaIB4AESAkYCcwKQAqoCxALjAgMDKgNUA3gDlAOnA68DtAO3A8ADzQPcA/ED/gMMBAoECAT/A/QD8APxA/8DDAQUBBwEGAQRBAIE+gP2A/cDAQQGBAwEDAQEBPoD7QPnA+ED5APlA+YD6QPfA9UDxwO3A6cDmQOTA5ADiQOAA3EDYgNJAzUDIAMPA/4C6QLTArsCoAKEAmsCUQI4AiQCBwLxAdYBuwGhAYYBbQFYATwBIQEHAesA0QC4AJwAhwBzAF0AQQAqAA8A8//c/8X/sf+e/4z/df9e/0L/Kf8V/wT/8/7p/t3+zv69/q3+oP6S/ob+hP6C/n/+f/55/nP+af5n/mf+ZP5p/mz+c/5x/nT+dv50/nX+df58/nf+ev59/oL+hv6G/oH+ff56/nb+cv5y/nb+ef55/nH+av5k/mH+Yv5h/l3+ZP5n/mj+Z/5o/mf+av5u/nH+d/6B/o/+k/6Z/p3+nf6j/qr+r/64/sT+y/7U/t7+4/7o/u7+9v79/gf/Ff8e/yP/LP8y/zn/QP9N/1f/Yf9t/3r/gf+J/5H/lv+i/6z/t//B/83/1//e/+f/7//6/wIADQAYACIALAA2ADwAQgBIAFAAVwBgAGgAbgB0AH0AgQCJAI4AkgCVAJkAngCfAKIApQCnAKgAqACqAKoAqwCqAKcApgClAKIAoQChAJ8AnwCbAJgAlACRAJAAiwCIAIUAggB/AHkAdwBxAG8AbwBrAGMAYgBgAFsAWABTAE4ASgBHAEQAQgA8ADcALwArACQAHgAXABMADAAGAP7/9v/x/+z/5v/i/93/2f/V/87/yP/F/8L/vv+7/7n/tv+2/7P/sv+y/7D/sP+w/63/rf+v/7D/sf+y/7D/rf+v/7H/s/+y/7L/sv+y/7H/sP+z/7L/sv+y/6//r/+w/67/rv+u/67/rv+w/7L/s/+1/7b/uP+4/7z/vv/B/8P/x//J/83/0f/Y/9j/2v/f/+X/6//t/+3/8f/3//r///8EAAYADAAPABIAGAAcACAAJAAmACwAMgA2ADgAPgBCAEUATABNAFAAUgBVAFgAWwBeAGAAYQBmAGYAaABqAG0AbgBxAHIAcwByAHQAdAB2AHQAcgBzAHMAbwBuAG0AbABsAGUAYwBgAFwAWABXAFMAUQBMAEcASABCAEAAOwA4ADYAMwAxAC0AKwAmACQAHwAcABoAFwAVABIAEQAOAAgABAAFAAEA/f/8//n/9//1//P/8v/w/+z/6//o/+b/5P/j/+L/4P/e/9z/2//Y/9j/1P/S/9D/0P/P/8//y//L/8n/xP/D/8T/wv/C/7//v/+//7//vf+9/73/vP+8/77/uv+7/73/vv++/7z/vv++/77/wP+//8D/v/+//8D/v/++/7z/vf++/77/v/++/73/vf+9/7//vv+9/77/vP+8/73/vP+7/7r/vf++/77/wP/D/8X/xf/H/8n/y//N/8z/zP/Q/9X/1f/X/9r/3//h/+P/5v/q/+3/8P/x//X/+P/6//7/AgAIAA4AEgAXABsAHwAjACUAJQApAC0AMAA0ADcAPAA8AD8AQQBFAEoATABOAFYAVwBZAF0AXgBfAGAAZABlAGkAbQBvAG0AbgBxAHIAcgByAHQAdQB4AHkAdgB1AHUAcAByAHMAcAByAHMAcABuAGkAagBlAGEAXwBdAFsAVwBVAFQATQBKAEUAPwA9ADwANAAvADMAMQAnAB8AFQATABIABQADAAYAAgD6//r/9v/u/+n/4//j/+D/1//Z/8//yv/G/7z/vf+8/7r/uv+8/7z/wf+7/7b/uP+5/7b/t/+7/7v/uf+w/6z/sP+n/6P/of+l/67/sP+1/7r/uP+0/67/qf+n/6n/o/+l/6j/pf+f/5n/kf+O/5D/kf+a/57/m/+T/4//j/+E/37/ef93/3r/eP95/3n/c/9q/2b/af9w/3v/iP+T/5z/nv+Z/5b/j/+Q/5j/pf+2/8b/zf/J/8X/xP/D/8X/0P/c/+z/8f/0//L/9P/2//X/+v/8//r/9v/8/wcADAASABgAFQAZABkAJwA+AEsATABBADoANgAoABoAHwAoADwAVQBpAHcAeQBwAGAAWwBXAFsAWQBjAHQAewB1AGYARQAwACwALwBEAFwAZgBdAEkAJwANAAoAFQAlAEEATQBOAE8ATgBbAHIAlACmAJsAewBZAEAAJAAhADUARgBPAEkALwANAPb/9f8CACEATwBKACIA5f+l/6D/pv/H/wUAMwBJAC8AIwD1/9H/zv///1EAdACfAKEAhABkACgAMAA1ADoAOwA8AF8AfAC0AO0AFwEuASsB+AC5AJgAnQCXAIAAYwBZAEIACQDg//v/MABZAGQAbQB8AD0AGwDT/2z/Kf+E/3wANwEFARgBoAD+/zv/l/6g/3AAEwCKADYAxP+6/w3/KP/j/6T/EP/c/7gAIwE3AQQA6P5S/6L9nP37/23/IgFtABb+rAADAFT+Tv40/AH+TAAkAEj+Ufxb/gYBRwGO/0z+Z/4f/1H/aAC0AdcCPAKVAX8ArP9D/oL85/0VAB4EhgU8A0gAIv1e+1n6d/sy/1YBeAMCBM8BtgEnALH9BP2F/Q7+UP6F/0gAtwD4/s3/v/x5+9/7TPpA/cgDngaUBNL/6Pql+yT+bgKHAV8CeQTS/5T2SOwN5wb6SxLwFxobBQ/kBRgDHPji9zb/HwgsD84PlwpC/z/7iPdl+noAKAEaBSwFQwFF/y/8IPX8+zv9kP48A4j/wv5I/S/59Pmi+6T+EwEYAPH9yv24+7T8uP9xAecCBgRhBD0EAgKQ/mr93f8fA54EPQSnA20DlQF7/0X/KP9wAE8DsQQ5BGMCOv8MAFoAJP49AL4CCALOAJf/r/7y/lb/Iv9ZAKgBRQDJ/vf8rvuD/C3/awHuALH9/Pzl/bD9BP+p/hT/MwHSAK7/g/6u/hAAwP/wAHEDMAWrBIIB3f79/t//pP+eAO//8QBcATn+jftk+h/7eP0Y/n/+NP7V/HH8pPtn/K/84P1Y/h/88ftQ/F37PPxw+wn8hv6U/X/9Qfzn+zD+Hv7O/pEAhAAm/mP9zv1Y/0sC7gA9AeAB2gA8AdwAxf96AIwANgGAAUwBaQBy/9T/5AApAM3+Bv9JAHoAagEZATkAzv8f/+j/Wv/u/5wBdgIFAt0AJwB+/17/lv9dAdEB/gCiAFgAyABTAccAtADaAEr/4QAJAfYApQFRAJ4ATP+1/av+W/6j/sn/rP+zAWUC5gCH/83+YAAfAvACJALzAFUC3QKGAWwB6QF8BO8D0wKKAYn/fgD3AsgEiATgAp0B2QCW/53/qv+BAOEAqACS/5P+sf4u/93+W/3O/uj/4gDXAFP/8/3G/Mr9yP4dAIr+EP8nARkBFQEJAD//df/c/1D/3ACzAJ8ALgKWAE8BGAK/AFEA0wDcAOwBiQJ9AfYBZQAMAAwAQ/++/0MAewElAR8B7v4E/jL+Xv7X/h8A0ACkAF4Bi/+a/3f/x/6p/68A/AH7Ab0ATACIANsA1wA8AAoAwgGcAaYAfv8BADQAZQAvAW0A+AB3ABj/6/6R/wMALQHTAHUAFgA6/3X/V/+I/5QAigD6/3//I/9O/8X/+P/C//QAGAHo/5j+WP2B/gkAlADI/7X+EP6P/p3+dP4P/tv9Sf7//i3/Yv6V/gb+s/5R/2r/gP9//17/kf90/6n/3v/n/3//eP/h/7z/DQCo/zsAXwGIAWYBhACp/2D/Tf9WAEsBPgJyAdj/1P5p/hv/yP8/AJoAggBBAG7/HP68/Qf+nf+8ABAB7wDi/+X+wv0M/pP/tADRAZ4BwQGCAYwAFgC1/2gALgEJAsUCyAJMApkBXAGGAWACcQLxArsCnwKJAqACYAJfApAClQJiA/gCpQLSAaYBwwFnAlwDbQNYAyoCJAEcAWYAWgDd/2IA9wDsAfQBugGWADf/YP7T/fH+mv9lAdIBdwJ/AU0A5P6D/fP9x/6cADICuALfAekALf+f/gj+Pf75/nb/BwBp/6D/A/9F/mX9o/zS/Nz84vyo/A39Ev0a/Wr8TPzV+1P7M/vc+mf7CPuJ+9f7NfxQ/EH7yfo2+iX6b/og++D7lPxd/Jf8gfy7+xX7EvqM+gn7Tfy1/Ej9YP2I/LP7NPuE+sH6Xvs//Mf94/3t/fX8fvyc+/v7lfzD/V7+yP0l/kj9/v1+/RL+0P6i/qD/cf5M/+7+Cf+3/00AOQHxAcYBaAIMArwCDAPUA04FowVrBjsGdwZJBk8Hngc/CuEKgQyVDDUM1QzbCyQNXA0HD/YP4xBdEXIR9RBmEK4P1A/sD9gP4Q9iD9cO0w26DDwLQwpWCPgHqwa1BrIFUgSwA4kBzwEkAEEAYf/I/nf+5/2C/l3+/f6g/tz+OP7z/Xb9Lf3l/fH9Hf/J/pX+af1/+0X7cvl3+qb5Hfr1+eX4UPjq9ab1qPP99J70Avbk9V31nvTb8t/yv/H68r3yk/T99Lj18fSQ8yzysPBz8vnyw/YL92b3V/YY9En0xfJg9M70qfX+9kj2APdO9br0BPTj86z11vVC9zn2ePbo9Cf2l/Uy95/3Aff5+BX3zfkz+JD6gPrB+9T9bv05/1D9Yv1n/BL9/P3g//IAJQLmAX0AJwCs/ev+Bf6LALIB4gIOBPQCmgNxApAC5gJQA9UEMwZ5Bz4IZgguCKAIOwlMC2YLygxJDGwMCQ5MDyQSWBMoFfQUTRblFaQWOBZEFwAY/xlyHBccOh0+GeIYbxZfF7oX/BfCF9oVIxWKEpoR5w6wDZILIAyBC/QLUQqIB0UF9wFRAuEAPQKEACgAPf4L/b38Bvu6+/D5FPuF+sf72fu8+9L70PrP+2T7oPyC/Cv97v0d/oz/yP7y/ub8uvsw+u/47fja91P4f/dW93P2JfXj82rynvH88Nnwm/Ci8EvwvfCg8JfxKfIC83X0MvXF9hL3iPet98f3Dvmq+UL7wvsg/GD88Pto/HT7LPsE+lL5Dfmm+E35zPg1+Yf4kfg++NX3uvfv9iH3+Pa39yX4g/i6+JP44fjf+DH5JPkX+Qf5Gvls+c35NPqK+qb62fqS+q76Bvps+vn51fo6+/n74/z3/Dn+v/24/uT9Pv7k/Zr+Rv+gANIB5QK8A4kD1gNlAuwCHgIGBGAF+gcaCg4LDQxqC88LagvdCy0MmgxhDRQOEg9+D70PUQ8TD5cOcQ7EDf8M9gv+CgwLFAtUDGoM5QwvDJAL9ArGCZoJlAjlCAgJ/gnGChAL9gpHCuYJmgngCfQJSAo2CpoK/AqfC1MMhAzVDJIMggwaDJkL2QrzCTUJvghvCBgIcAdgBiIFsQNOAtMAYf/s/av8m/vQ+vb5NPk++Gf3xvYz9t/1VPUO9Yf0fPRq9J708PQm9Yz1wPUo9kT2cPZV9lv2V/aL9rL20Pb39uX2JfcE9z739Pbv9rT2qPa49q/2yfak9rv2ufYr92L3DPhS+OX4NvmD+fD5Afpp+m763fos+537C/xH/IP8g/yP/E78PvzW+6X7Wvs8+y77Kfs8+zT7S/s++0P7I/sI+736pPpT+kr6+/ny+bf5sPms+Xf5ifkg+Sz5vPi++F34Wvgr+CP4Mfg5+Hv4c/i8+Kv49fj9+FH5efnA+f75QfqC+pj6xPrL+hn7Uvvs+1H88PxW/dH9Lv6H/u7+Tf/e/2YANAHmAcECaAMyBMcEdwUEBoQG9AZFB68H8AdsCKkILgllCeUJLwqICtcK4woiCxMLVAtzC7wLAgw6DI0MsAz6DAcNIw0IDRANCQ0bDSsNDg0HDcAMvgx8DHkMUwxMDFEMWgx9DH0MlAx8DJIMjAzEDMIM4QzMDK0MnwxLDCIMqQtbC84KawrfCVEJqAjjBxMHNgZqBXkEjwOAAo4BnQDJ//D+Ff4i/Uj8XPuC+pv5n/i198D2B/ZH9bL0DvSJ8xfz0PK28prypPKT8qnytfLU8uPy7fIE8yjzcvPN8y70ifTU9Bv1UvWC9Zf1mPWK9Yr1ofXc9SP2d/bT9jP3o/cM+HP4tPjs+BT5T/mJ+cP58Pkb+k36lfrs+iv7a/uB+5f7oPuk+5n7evth+zz7RftH+0/7SPsy+xf7+/rY+qv6bfop+tT5jfk/+e/4mfhM+BH49Pft9/L3A/ga+EX4a/iz+Nb4GPlK+aL5Bfpz+vn6Yvv7+3n8HP2i/ST+jv7l/j3/kf/4/1gA0ABRAfQBngJcAwwErgRQBfAFkAYkB7IHNgiwCBoJgAndCSgKZwqtCuUKLwttC6ELwgvfC/ELCAwnDEgMcgyuDPUMTA2jDfUNKA5kDpMOtQ7nDuwOBQ8CDyIPMA9HD1wPZQ+ED5YPyg/iDxgQOxB4EKYQ2RACEfsQ4RCREDoQxw9RD8UOKQ6DDcwM/gsSC/kJtwhrBwkGuARiAykC8ADM/67+lv2L/IL7dfp8+Zn4xvcB9zb2ffWv9Ar0XvPQ8lzy9/HH8Z/xqvG58dTx9/En8mHysfIB81/zzfM+9MT0SvXv9XH29/Zb97f3Bfg7+Gz4e/iU+Jz4rvjG+Nb48PgC+R75Rfly+aT5u/nJ+cv5x/nA+bL5r/mz+cb56/kX+kP6Z/p++n76evpa+j76G/r/+er55fnt+fL5APr/+ff54fm9+X35Ofnr+Jf4R/j697D3bvc39xH3+/bx9u326/br9un27fbx9gD3HPdJ94r32fc6+KL4B/l1+eP5Wfrc+mT7/PuX/DT92f19/h7/w/92ADoBCgLpAsoDnwRyBSEGygZNB8MHNAioCCYJoQknCp0KEAtzC9ILJAx4DL4MDQ1WDaYN9g1ADpAOyw4KD0MPcg+nD8wP7Q8ZEC0QZhB5EKIQrRC8EN4Q8hAjEUMRWhGKEasR1hH4EeoR/BHJEdMRlRFgEQkRchDyDyIPdg6LDbYM1wv4CiUKVwl3CIoHgAZoBVIENQM3AhoBJAAe/zr+Y/2H/Lv7z/oP+kv5pvgE+Fn3zPY79s/1ffU99Qz18/Tm9P/0L/Vv9Z/10fXx9Rn2PfZT9mL2WfZd9mr2lvbL9vr2HPcv90/3Vvdc90b3LPcO9wT3Gvcv92H3bfeJ95P3r/e/97f3pveD93n3cPd994X3mfet99b3D/hW+KD43/gj+Vf5l/m8+db52/nR+c/5yvnS+cX5uPmg+Xj5U/kV+dL4iPg4+P33x/ex95z3nvev9833BPgq+Fj4fvij+M349vgs+Vz5lvnc+S36mvoC+3X74PtH/LP8H/2J/fX9af7n/nf/EQC1AE4B5QF1AvMCewPgA0UEoAT0BEgFlgXsBSsGeQbCBiUHkwcECHkI4AhDCZUJ6Qk6CpYK7QpcC8gLQgy1DBoNbg22De0NGg5MDl8OlA6qDuUOCQ8/D3kPsg/+DzUQfxCjENQQ5hD6EPcQ9RDaELMQjxBjEE4QEBDiD5cPQw/yDnsO+A08DYUMuAv8ClwKvAkrCZgIIAiYBxkHbgabBaEEkwOKAogBugDS/zb/kf4W/qz9KP2z/Ar8hvvd+mr66flx+Q35qfiC+GX4eviK+LL4zfjX+NL4sfiB+DX49vew94b3b/dp9233Zvda90L3Iffq9p/2Ofat9SP1mfQ59AL0+PP88w70HvQe9BH08vPP87nzu/Pl8yn0ZvSd9Jj0ofSQ9Kr04fQq9aD17/VI9l32TfYV9rj1lfV09bf1D/aN9vr2UveN94H3Z/cu9y33RfeM97z33Pfc99/3FPhM+Lf4+/g9+Y357fl3+uf6Z/vB+z780fyO/UL+7v56/wYAuwBzAUQCxQIuA0YDgQOwA/4DNgRXBGQEhgTkBBwFlgWyBRAGZAbSBkMHhQeyB7oHDQhsCOYIaAmxCfwJVQpyCokKVgoFCukJBApNCpIKrgqgCr0KGgurCy0McAx3DKAM8AxdDeINGw4tDkwOkA7vDu4O3A5CDgoOAA4RDjEO7g2iDVoNZg2PDZ4NYA3aDDEM6Qt9C4ALMAvZCoMKBwrDCeIISggsB28G5QU3Ba4EzwMTAzsCEALEAbIBcAGtAMP/uv6N/cD86/tM+/j6YPq3+nX6CPu/+lD6CvlE92f2T/Uj9in2//V99ZP0mvTW9fj2Zfcz92D1KPRQ853y9fFr8d3wevEg83v00PQ09EjykvFe8VLyl/Ii8rnxxPBk8h/0B/bJ9xH4evdE9yD26PQD9N7yrPLC82P1I/ad99X2LvYy9vb0SPUB9R31MPUg9qb2m/fx+Lj5avtO/MT8H/ya+3b6u/rP+6P8M/4n/lH+Fv5J/qn+Df/F////WgB+ACgAh/96/3v/ywAaAiQD1QO5A28DjwJXApwB0AF7AjADBgQeBL8DDQOCA90DzQSpBasFewVbBbwELQQyBGIE2QXcCPUKPgxxDIsKlQmMCbEJCAvuCyUMDg3jDSMOZw63DR4NBQ2LDZkNGQ1ZDKAKFwuoC1QNYA6bDtsNSwwbC4kJJgnoCMEJqwqzC+8LtgruCWIInwe6B5IGSQbUBP8DggMuBPcELgZxB2oHtgdGBj0FrgOaAi4C3QJqA0YFEQV5BXcE6AJPAkkAhwC2/vv+hv1T/RT9Nfzg/F/8sfx9/Dz82fo7+kz4n/fe93j4dPpI/H79oP3d/Dv7m/m5+Mz3bvcM+HP3Ffiz91H3B/d09mv1hPQx89Dwu+9J7hrv9vCa87L1qfYm9hr0E/M68jvzIvX39iD4b/jg9zH3WfjV+Nr6dPu0+oL5C/cr9Sf0n/Ry9Q34kPmX+gX6Dfc49SH0qvVS+Bj7HPzd+wv7H/rM+h/74vrV+nX6n/rB+0X8Xv0P/nj+Vv47/sP8AvxR+zD8Hf6t/8sAygAIAa8A6gBRAAcAFv+T/x0AlQEiAs8BUwEsAWkBTgEiAQQASgBKAbID7AV6B+MGegZDBh0GPgbkBIsDyAJXA/MEQgeqCFoJiwmoCWMJEwnNBhgFPwTyA0QGwQgBC6cM1wxxC+EKbwmgCJoIVgnWCUMLawx7DEgOnA05DYYMKgpUCBUHVgZfB0kJjApTCwkLLgl/BwkHsAY0B5QHWwbTBVsFQgU8BkYHmAeaB3IHpwbaBXkEuAKfAf0BmgElAjEBaABxAPsAYwKgAm0Baf7Q/Jj7GPxb/d39Uv9sAZIC4QRPBNMBKv/h+7X6mfp/+sf5yfll+QL6B/t6+6n6/fkF+Lb2ofbH9Df1o/Xq9jL63fvf/J38Ffss+VT4DvdL9fb0tPMp9Qn3ivhD+cH4+/ab9T/1k/S59af1uPZA9wD4dvjg+Af5ZPhP+Af3tvav9Sr1JvXo9Fv2mfju+6P+xv70/RT8Zfo1+Tf4w/ay9gD3Vfmx/bgAWAIwAk0APf2/+/H5aPtp/lYA/gJ6BNED7gK6AL7+0v7A/9oAqAGUAQ3/FABhATcEUQeOBqQEvAEu/hn8mvxN/qQCgQZhCcQJbgj+BF8Btf9w/pH/BwF3AlcEkAXqBkwJPQpRCvcHBgVmAkwAf/+q/qH/cgG9BEQIdAp4CYYH6AN2AdUAuAA7AqYDGwX+BR8H1gdCCOcH3wbfBXgE1QMLA0MDWwSkBgUKfwtMC8EH4wO/AAMA3gDeASYDAgRwBHgEmARhA0YDbgLsAsIEAwYuBwcHWwXaA0MEiAUzCEcJyQd/BbUDzQKcAr8DegL4AesAPf9v/6X/6/8iAbsB7AFHASIAhP7K/E79Kf0j/+sAgQEeA8MCJQK1AAv+Afus+ED56vmK/Hj9afw8/Db7CPtu+2D7QPoW+v35s/o0/IT8jf1r/bz9OP3e/Yf+7P5U/ib9H/wF+4j65fik+eL43/dM9hT1qfSl9OL15/b2+Y/8zv73AFgB/f6y/QT8Ivvq+2371fwg/1IAFQF//yH9yPg89mD1VfbF+En54fnY+dL7dfzR/pr/4P/b/tP9efxR/Mr93f3FABQD6wVtBU8D2/4B/JX67Pl6+h76xPof/OL/CgNlBRIEvAHl/nf9df3o/vsAcwHYADL/CAF5AhsFQQfhBlUFTQJ3/2P+D/4t/gIAKANLBdoEkQKxANUAnAGBAvwBeQA0/wf//v+HAUQCZgJQA2kCngFQ/77+Hv+sAPkDeAbYCLUGVgNs/+X+YAAFBPIGnAZ+BdwBlwBEANsBZAPYBbQHMwfCBhsE6APQA0oEjQQ/BEcCAwAU/kL+pAB0A1QG0QioCQ4INwYdA60CZAP8AxcFHwUdBZwENwNYAf0AKQETAvIDrgTdAx4CyP7a/P78Ff70AIYDcQQVBWgDeAHD/4P+wv7w/woBzP9g/gf+T/6VAIgA4gBSAZYAi/6O/Y78pfy4/LL8yP7i//v/lv1Q/Ej6OPtV/ZD/kAGu/5/9KP2m/x0BqgLyAdcAwv6c+r/3fvUX9sz2b/qG/Oz+s/7Z/Lz82Ps5/Qr+qv+I/jP8z/oo+5X+KwKKBS4HHAZ9A+z/Gf4t+0z4AfZM9yz7YP4cABMBWgJ2AUX+P/oE+GT3T/Yx9gX3Dfl+/S8B3wS2B9YHoQZmAy7/hvxy+0r8+/3+/yUDmgYKCr4K2QkyBtsB6v6b+wL64vY39rH2Kfn6+yv+hv/w/t7+sP7f/40ANwFrAF0ABf9n/nUA6ALiBMoEKwPLAXcCbAHO/+3+Yv9MAFQANf/C/gIBEQJ2A1QEBQRBBPEBKgCh/q7+v/5ZAG8CAQPLAzQD1wI8AhQBIAG1AcIB3AF4AqcCSwLXAlMDcQRNBBgEpwXLBmUGFQQEAAT8F/q8+7sAcQYgCikKFwjBBK0Bo/9i/dn89/vo+/z7X/wI/oEAsgMmBhYI1AYtAv/95vun+1j8VP5sAVcDAARiAiIBMwGrAVoBEwCj/bL7UPv3/Br/zQFzBP8DewNC/3z7w/mR+Ij6cf2MALACKwNZAKr9K/tx+6z99/0c/hb+IwAYAwYGkAcMBnMCrP7F/IX88/oY+k35RfkK/CL+FgCqAA4A9P+FAN8AQwFFANT8PPkY9tD2mvoi/sj/dQD+AXgEggYpBQ8DwP9k+6f5vvgf+WH7Kvxa/K38Bf7eAKoCbQFD/if8/vtX/tAAewOWBcAFCAQXAhQBNQDi/lD8+/kH+U75qfsH/t3+y/6g/kAAcgKTAugALv8z/Uv8N/wc/Pb8ev4YACEDUAeBCbYJaQeCBKgCkgBO/xD+jfwo+4f7k/1S/z4BMgKuAej/K/8O/8QA8wK4BN0E4gRNBVsDdQLSAaMCPQNdA2wDKgJiAscBGQHKAJ4BZAP6BOEFwAVQBP0AE/+Q/SH+hAGiAxkEfwHW/8D/GAGtAXgA8v9V/pv+C//KADMDEgMvBGoESgSuBNIEdgQKAwQCbgE5AVAA1v5e/Jn72ftG/FT96/2h/6YB4gLZA3kELwQbA00A6/wV+V32ofYQ+DL6nfrE+oH8mv7BApMGmwlQCT0FnwBn/uj9F/7M/j3/JAHbA1EFywOjAeL/gfz5+aX4j/mI+j37Mvpb++r9WwGEBGQFlgRAAtT/Y/y6+6/7lvxx/av90/+PAsAEdwbbBmwG2QTIAa3+//qy9wP2kfX19v35WPxC/jP/1v9jAOP/QgBF/pL76vg6+u/9rgCjAtUDjAUEBogEVQGn/av6J/i/9QL2ufgw/DD+5//7AU0EwQUKBZgDoADX/bv7Avqd+FH41vjZ+jL/OgOZBs4HrQcEBkYDGQLkAEUAiP67/CP9TP8BAtgDyAU5BoUDWwBV/jj9Rf1H/oz+pf4b/6oA+ALJBGEHRgjHBwIGNAEq/dP7v/wn/nf/2wGxA3IEQAXmBQwG1wWjBKQCjgFJAJT/N/9BABYCGASTBgoGQwShAdv9Rvuf+/j8+fuy+9T8Ef91AfQCgQSwBHIEWALu/5P9a/wx/FL8h/5h/vr9jf2D/dH/EQTQBzgIHwbLAgj/q/tR+wP9mP2c/P76j/rV/O//qwJ0BGsFLQV+A44AFfzz+ez5afyQ/uf/qgI5BHsEcQPmA3gFOAZdA0P+jvlX9i/2J/d5+ib+DwH9AS8CygJkAxAEsgKZ/8T7m/hf+Ov5LPsN/Gz9j/9GArAEigU/BDUCDACX/Ub6//gh+eT4Nvlf+yD/OgIKA0cCxQI8AyYC9P8L/qL7uPjG9+j6NACiAiwEuwVBBzkH7gRvAtwAlf8p/dD6Dfjd9cL0xvUL+Qn9uQCXAUkBDwAZAVkDcwSIBBsD0QK4A/0EHQSCAhsC8AH8AZwBdgHG/x/8fPj597T7m/5v/839TP3g/lQAWgNZBlkIogdGBpwG8wYBB9MEvwGl/8/9EPx++7z7rvyh/r0AMQOzBFYFLwZHBh8F/AN9Aw4CTv+T++D5u/uz/ngA+wHsAtcC+AK6ApwDlwSDA1UB5v8FAOwAsgBz/s791P1A/vz/MwFIAg8CdgCf/3QA7QAtAKn+1vy7+5P7SPx4/0oCvAKXAtgBLQLSAQwAAv+O/sD9pfw3/Jv8l/4aAB0CkgQ4Bb0ECAR8BHkErgJv/2f96/zD+6D6yPqa/FP9WPzg+wD9FP66/Yb9uv2x/xABZAEGArcBiAEfAZsB0gI4A8oCcwIhAVsAKgCz/gX+kvw0+7f6VfvP/YoAUQHA/0j+bP0P/vj9lfyE+0X6UfmW+AX56Pp7/mMBBAPcAzsExwQZBDsCogBMAGz/Mf36+ZL4j/p0/gUBGgJsAv0BDQEW/+P+PP/J/rn99Pyt/ZP+xf+KAVkE8wbUB38G4wNUAKT8lPvm+xH9YP2V/BD9ff6+ACQDJAUxBpoGAQZ0BEADLwFq/wv+tfxB/NP8bP5uAGMB+gCqATwD8wSWBYEEvgNKArT/H/2+/AD+A/+c/Xj7aPtD/KP+MAFNBP0GZgcYBnIF8QX+BAIDRwD7/vP9X/yo+sz5sPpP/Pf+2gF2BScHiQdjB0QHhQaJBO0BB/4j+/f4wffp9535p/xwAJsD5AWuBx8JlQqACj4I2QREAY79jfpm+ED4tvkV+3/8RP72AH4DkAVaBr8G+QXkA08BMv7P++f5p/km+j/7Wfzy/N/+rgEmBWkHwQcvB3kFWAMCAt0A5v7G/DL7Xfu+/Fv+vf/4AG8CwQNpBFIEcgNkAbD+iPyK+4v7Xvx//F/8jPxz/Y//cAIvBHsEawOpAagARP9+/lj99vvy+vL6i/uK+337Jfsh/Ar9Qv25/GL9x/71/zoBCQKgA7wDIwIlAH3/qP+Z/jj8Dvps+ar4nfcm9+H4Sfx7/fT8D/wm/Xr+7P5s/+v/zwDU/zr+d/2p/hIAFQE8Ad4AeQDJ/pL9dfwr/Tb+ff4R/Sz7XfqW+rj8gP6QAHcBpQG+ACQAMQFNA0EF2gTpA2YCWgGuAFEAvgCcAB8Az//pAIYBsgFDAqMDhgb+Bw4ImwbMBcQE4wN7A5kDwgPKAcL/7v5kAPsBVgOUBDsG/wc2CDoIpQeFBzYGcgRKA2IDZgNlAe7+jv20/rcArgL0A+IEUwVXBXgFHAYECD8J8ggcB/MEdAMBApQAff8k/9H/0//H/4P/EwD1APYBWgN0BNYErwMYAsYAUwAEAGz/wP6b/eP85vsV/Kr8lv3j/Zj98Pw0/Mv7Sfte+8z6X/q1+eH5SPqy+gL7Xfpe+uL5Y/pA+5D7hPtc+i768Pnc+uj6YPsW+6H6Avp4+fj5+vlp+if5ifiK91z32fbf9ar1yPUO9433Fvgi+Ab5lPkI+uX6QPya/ST97Pu9+lv70vuC+876X/pp+kv6jfok+3z8K/2m/d398/7A/z3/ev6R/SD9vfxX/ar9ov1A/S/9ev6FAGUCQAO0A74DmwN0AzgE5gSWBEsDWQJHAgIDAwRFBFMFIwZHBxkIlAlFCvoKzgtGDDENhQxvDHsLGwtHCgUKpwrDCqAKUgn9CR8LsQwtDYUNJQ4dDgoOLw3XDeANNw3CC3QK5QlACTQILweSBisGygUFBtAGdQfgB3sH3wcfCLgITwidBw4GDARQAsMAkQDx/5v/y/5z/qb+Zv/GABACPwOUA5kDXQMPA68CXgLxATUB/P+5/tj9eP13/aT96v3v/aD9Fv3H/LP8Yfxq+/X5IvhL9pn0c/PC8mXy/vEN8q/yz/MY9Yn2FfiT+Yb60/op+zj7Eftz+tH5Cvkk+Gv2k/QX8/TxH/FE8Mfv/+7r7pHuke/A8C3yCvON82b0svTc9Qz2Vvcz98L2QvYD9gj3IveH9232YPa29ZX1//VA9hv34fY192L3mfiF+S76w/qW+l37Mfuf+4b7Xfu8+w78o/2S/iEAewAJATQCbwNkBZIF6wU6BZoFpwVRBn4HQQhjCT8JMAqnCwgOsA9zEF0RLBLDEysUqxSJFH8UuxPFEvoRLREfEE8OMg35DFkNqw2NDYoN6A1YDtYOpg/FEKQQTQ8ZDYEL8gqzCaEHQQWiAykC2QBdAO4A4AKxAx4ECAVaB3AJqAoAC00LOAxhCxYKHgjcBusE7QK2AGf/X/6+/LX7cvt+/Gf9bP6i/mL/BwCRAHABugGdAe//lP5A/Rv9p/zw+zX7Wvo6+iP6Lfs6/Fv9uf23/Sv+j/4X//T+oP7X/dD8BvwP+/76qPqO+kz6b/qk+m36gfpC+o765vnW+GL3NfZM9Rv0LvNJ8g/ye/ED8fLwgPFq8vTyWvOx86D0UPUJ9ov2EPeP93j3Tves9oP2BvZ29YX0ZvOB8lXxnfC471Pv2O6e7p/uxu6F71PwoPHA8kT0wPU793z4aPkx+tv6ZPuU+9X76fvL+2D7FPsz++P74vyi/X7+K/9gAHkBOwPKBLEGuwd4CL8IAgl6CfwJ6Ap/C5IMyQwWDlcPjBF6E5oVOBdbGLQY2RddF0AWVBWpEn4PJwuEB9UDEQFw/2r+Yv4q/qL+CAD3AoIGIwq7DK4Orw9uEN0QwBAzEHsOgAy+CY4HbAUIBCQDlwLEAmUD2QRKBgwIrQkvC9QMbg15DQoM6AloB8EEogITAM39J/su+Rn4DPhU+Qj7PP3P/ocALQJWBHsGzgdSCKcHwQYyBdAD/QE6AEr+WPzj+sL5hflW+eD5jvre+2z9Gf+/AM4BpwLFAuICmwIMAr4A2v6u/Jf6DvnI9xb3m/Zr9kb2XPbh9v/3JPnm+eX5tPls+QX5rvgR+K334/b/9XD1a/Xc9Vb2yvZb9/T3FvgW+KX3cfd99kP1ifOM8cnvYO3K6xXqnenb6Lboduj26Cvqiuuy7XHvlvHe8p70EPbk95/5ifo5+xL7KPsF+zH7zPqG+t35AvmB+PL3GPji9yb45/eY+BP58Pnp+sD7j/3s/jsBKwNDBr4ItQu0Dv4RkxVnGCsbsBwnHswd+hxSGyEZ0hZTE8EPPAt5B+MDhQFjAOL/CwAHACwB9QLxBSAJ9ws3DhIPjw9BDwMPOQ6qDH0KtAdcBUYDNwLRAegBggJ8AzcFawfzCVYMlw6TEOERrRKXEs0RVRAkDs0LTwnQBioEogGI/0H+r/2g/QD+wP7o/0wB6wJyBLUFewa1BqUGVwatBaAEDQNOAZD/Fv7x/Bz8oPtW+4/7Ovxw/fj+oAAxAoIDlQQfBUUFAAVQBFoD/gFgAKX+Cf2q+7T6Pvoq+l36nvr3+mr77Pte/I38dPwT/Ez7RPot+Ur4kPfM9iP2kPVR9Tv1ZvXr9dT2k/fT9/X31Pet9yT3FfYA9XvzqfFR7x3te+tZ6oHpuOhn6HXoyuhE6ULqz+ui7f3uE/BL8aTy+/P39Nz10vZ696H3pfdY97z3gPe79/z3MviC+Ab47/eO98/3//cx+CH4TfeS9lr21fdT+vr8MP9KAb8DiAeCDFYSdBdEGkwbfBvEHJMeHB+qHRUaxxVkEaINtQpnCO0FtgLM/2n+0f5tAPYBcgNUBUAHUwnCCnsMXw2+DQsNpwuXCuEIOgcKBXwDiQIFAiQCWQJuA/0EWwcNCtMMWQ8/EdoSAxTNFO0UMxS1EnYQ4w0iCycIOAUYAmX/av0k/J/7bPvW+9T8kf7KABwDcwVVB9AImQn+CQsKhglZCHAGdgRwApYAs/7x/OH7hvvF+138Uv2h/jQA6gGYA1IFngZQBzQHpgYGBkMFPQSaAr8Ax/4x/fT76voo+nj5/fit+Mj4Ivm2+UT6lfrZ+gr7UPtl+0P71Po6+qX5B/lh+Jf3tPae9W/0XvNz8p/xqfCE707uRO1C7Grrx+pi6vTpj+kr6SDpZunr6XXqU+tm7GHtYu4c71fwn/EB8zH0OfUj9lv2uPb19un39PiS+Zj54fhO+IX3Zfdi9/H25vWe883x+vCM8V3z/vS19kH4ePr5/c4CRgj7DPkQyhNxFuoYHxsHHcAdDh3SGiYYpBUQEx8QvQyCCbEGJgT5AXkA6f/C/9r/SQAyAVACGQOZAygE6gSKBX0FEgWBBOMDSwPTAtwCLQOJAwIEyAQ/BhMIHApMDJkOwBB4EukTDxX8FUEW4RXyFGITWRHRDh8Mbgm4BiYE7QEmAMX+wv1J/Yn9ZP6x/xwBpwIbBFsFdgaKB5wIJgn5CCkIOAdJBngF0gQtBH8DzgJaAnkCNAMaBNQEdgUgBuoGrwc0CIAIcAgCCFkHkQaoBWkE2wIgAZD/Ov76/OL7x/rh+Sn55PgO+Wb5rfm9+fz5UPrG+iP7S/tj+wv7c/q8+R75nfiq93r2B/Ws83XyFvEI8M7ut+1w7DLrcOrH6Xrp1uhy6FLoGeiJ6Mropukn6pTqW+sg7Obt5e4t8P3wxfEG8wj0yPUo9wj4F/hs9973svf69y73l/VA9K7xkfCy74vw1PDv8A7xrPHX9N73f/waALED6AbFCYgNRhFiFUsXahhLGDoYXBiRF8YWmhRTEkgPHg1cC9kJKggRBsIE7wPNA5wDqQNuAyMD3AIWA9cDJASqA5IC3gG9AfsBFwIDAuoBpwG5AZcCLgQkBq8HDwmwCs4MIA9GEUUT4RT2FXAWkhZoFsIVcxShEocQWw7SCy8JnAZ4BKgCFAEKAFf/KP8D/1//OABoAY8CXANgBCUFGwaCBs8GAAf6Bu0GdwZMBhgGBQbUBbsFJgaZBkwHvQdUCO0IowlXCs0KFwvXCmcKowmyCJUHNwaoBKcCkQB9/rv8Yvv/+dn4j/fx9m/2aPaS9tb2dvfA90j4evgT+Xj5nPmb+RL56/hG+Lv3rfa89bz0s/Ok8j3xNvD87iPu8+wh7DbrjOrS6Rbpu+g/6E7o/+ch6FPoluhI6X/pU+os623s/O0y75XwjPG58u7z2PQZ9k/2ZvaW9dz0XPTq8wb0T/Pv8l/yd/Kk80D1o/ez+SD8bP4+Ab0ERwj5C7kOFRHbEn8UCRb5Fl0X9hb1FbYUPxPaETYQeA53DFwKtwgsBzgGJgVBBEkDhwIeAsoBvwFZARoBqABHABgA4P/u/73/uP+h/8D/LgDPAOEB9gI7BKQFNgcNCf4KGg0kD/IQjhLWE/sUxhUvFkcWxBULFdoThBIBETQPdQ1pC7kJBgihBm4FNARNA2sCBALkAfYBLwIRAh4CKQJ3Av4CVgPGA8MD4wPyA1ME9wSABRcGVgbaBl8HHQgACbUJawq7CgELLwtMC1gL6QplCnYJeAg6B+EFbATGAh8Baf/+/YL8Gvux+VP4Sfdq9tr1SfXQ9EX0vvNm81Hzg/Oc85HzZPMs8xfzGfNL81/zXfPw8oLyBPK38Vnx+vBz8LTvEe8/7sDtRu3y7J3sPuwV7PzrIuxl7ODshO0v7gPvxO+c8GvxHPLs8nPzFvRQ9HL0ZfRH9Ez0W/SS9L/0/vRd9eL12/Ys+Kv5bvv7/M7+ggBqAmYEPQYYCGAJpwpzC0EM6QxMDakNpA2RDUYN+AyzDGEMJgzYC4kLOQvrCq0KcQo9CgIKtQlhCfsIkAgXCJsHHgekBiwGswU8BdkEigRVBDQEMwRFBF8EmATcBDgFogUYBpcGEAd/B+MHQQieCOwILQlWCW8Jegl3CXEJUwk5CRIJ5gi3CIoIXggzCBAI5Ae7B4wHWQckB+kGqAZRBv0FnAU5BdcEdAQRBLADXAMHA8ECiQJZAjYCHgIRAgwCDgIPAg8CFAIVAhYCCgL0AdYBpwFxATQB7QCgAFAABwC5/2//Kf/j/pv+V/4Y/tj9m/1e/SH93vyc/FT8D/zP+4v7T/sV++H6sfqH+mL6Qfoc+vf51/m4+ZD5b/lN+Sb5AfnU+Kj4fvhS+Cj4APjY97r3nveF93D3Z/dg92b3c/eE95j3svfI9+D3+fcP+B/4MfhB+Ev4Vvha+GL4bfh2+Ib4nPi4+NX4/Pgo+Vf5jvnC+fn5Mvpu+q368Po0+3b7tvv1+zn8gPzG/Az9Wf2j/fD9Pv6T/ub+Of+M/+D/NQCJANwALwF9AccBEgJUApECywICAy0DVgN7A5gDuAPSA+oDAgQVBCkEPARVBGcEewSQBKIEuQTMBNwE7QT9BAgFFQUeBSUFJQUpBSUFHgUZBQ8FAQX0BOME0QS9BKsEmgSGBG8EXwRJBDIEHgQDBOsD0AO3A5wDgANmA00DLgMPA/ACzwKyApACdgJbAkACJwILAvAB0wG1AZcBfgFeAToBGAHxAMwApQCBAFwANwATAO//zP+o/4r/bP9N/zD/E//8/uP+zf64/qL+kP59/mz+Wv5L/j7+Mf4k/hv+Df4B/vv98f3p/d/91P3H/bv9s/2l/Zn9jP1//XL9aP1f/Vf9Uf1N/Uz9TP1Q/VH9V/1d/WX9bf12/X/9if2T/Zv9pv2x/br9xP3J/dD91P3a/eH95/3t/fP9+P39/QH+Bv4M/hT+Hv4i/iX+LP4z/jn+Q/5L/lT+Xv5p/nT+gv6U/qT+t/7L/uD+9/4O/yT/O/9S/2n/gf+X/6z/wv/X/+3/BAAaAC8AQQBYAGoAfwCUAKgAuwDMANkA6QD5AAcBGQEoATcBSAFVAWQBcgGDAY4BnQGrAboByAHUAeAB7QH3Af0BBQIKAg0CEQIVAhYCGQIZAhUCEQIRAg0CCwIGAv8B+wHzAewB5QHgAdcBzgHFAbsBtAGuAaIBmgGTAYsBgwF8AXQBcAFqAWQBXgFUAUwBRQE8ATABJgEcARMBCgH9APMA6QDhANkAzwDLAMAAvQC3ALMArgCpAKYAoQCfAJgAkQCJAIEAeABvAGcAXQBVAE0ARAA8ADMAKgAiABsAEwANAAMA+v/v/+j/3//Y/87/wf+3/67/pP+a/5H/i/+D/3z/df9u/2n/Y/9g/1v/Wv9W/1H/Tv9K/0n/Rf9D/0D/O/86/zf/Nf8x/y//Lv8t/yf/J/8m/yX/J/8n/yv/LP8u/zP/Nf86/zn/Qv9G/0r/Vf9Z/1//aP91/3v/gf+L/5b/oP+q/7T/vv/J/9P/4P/r//P//P8HABIAGwAmACwAMwA6AEMASQBPAFgAWwBiAGcAbQB0AHcAewB/AIQAiQCNAJIAmACeAKEApwCrAK4AtQC3ALoAvwDCAMUAyADNAMoA0ADRANIA1wDVANQA1ADRANAAzgDPAM4AzQDNAMsAywDHAMgAxwDHAMcAxQDGAMQAxADBAL8AwAC9AL0AuQC6ALgAuAC5ALgAtQC2ALUAtgCzALQAswC1ALAArgCtAK4AqwCrAKsAqACpAKMAowCgAJ4AngCaAJcAkwCPAI0AiACHAIEAewB2AHMAcABqAGUAYgBgAFoAVQBPAE4ASQBGAEQAPwA+ADYAMwAqACUAJAAdABoAFQAVAAsABwABAP3/9//0/+3/5//i/9r/0//O/8v/xP/A/7r/s/+s/6f/pf+g/5n/l/+S/4z/iP+F/4D/gP9+/3z/eP90/3f/dP9z/3L/aP9q/2r/Z/9o/2j/ZP9h/2T/Yv9j/2P/ZP9j/2X/Zv9k/2L/aP9m/2f/Y/9o/2r/af9t/3H/cf9y/3T/dP95/3n/ff9//4D/gf+A/4X/iP+N/43/kP+T/5f/mf+f/5//of+j/6r/p/+t/67/rv+u/7b/s/+3/7v/u/+8/77/wP/A/8L/xv/D/8P/wP/E/8L/w//F/8H/wv/D/8L/w//E/8L/xP/E/8b/w//D/8T/wv/A/8P/w//F/8L/xf/C/8b/xv/H/8X/xf/G/8P/xP/D/8T/xf/F/8X/x//G/8b/xf/F/8X/xf/E/8L/wP/A/8D/vf+9/7z/u/+8/7r/uv+5/7f/tv+2/7X/sv+y/7L/sP+w/67/sf+y/67/r/+v/67/rf+t/63/rf+u/6z/qP+p/6n/qv+q/6r/qf+p/6n/qP+q/6v/q/+s/6f/qP+p/6r/rP+s/6v/rv+x/7T/tP+3/7j/u/+7/77/wP/D/8T/yf/L/87/0v/a/9n/3v/g/+X/7P/w//L/9//9/wAABQAJAAsAEwATABsAIAAnACgALQAuADMAOgBAAEAARwBKAE8AVgBXAFwAXwBiAGYAbABvAHEAcAB1AHgAeQB9AH4AgACAAIQAhgCIAIYAiQCLAI0AjQCPAI4AjACLAI4AjQCOAIYAiACJAIcAhwCHAIUAhgCEAIMAggB/AIAAfQB6AHoAdgB1AHAAbwBsAGoAZgBmAGQAYABeAFgAVQBUAFEASgBJAEcARgBHAEIAPwA5ADkAPAA/ADgANQAwADIANQA0AC0AKgAnACcAKQAoACQAHgAfACAAIAAcABgAEQAVABcAFAARAA4ACwANABAAEAALAAcABgALAAwACgAHAAUABAAFAAYABwAEAP7/AQACAP////8AAP/////8//v/+f/5//n/+P/1//L/8f/0//T/8//w/+7/8P/y//T/8v/v/+z/7v/w/+//8P/s/+v/7v/x//P/7//s/+7/+f////n/9P/3//z//v8CAAEAAgAAAAUADAAOAAgACAAKAA4AEgAPAA8ADwATABkAGQAZABgAFwAZAB0AIAAhAB4AIgAmACUAJgAkACYAJwApACoAKwAqADAALwAwADMAMwA1ADcAOQA1ADQANwA5ADgANQA3ADYAOQA+AD0AOgA1ADcANwA8ADgANAAwAC8ANAA2AC8AKgAoACYALAAqACoAJQAlACQAJQAjACQAHQAaABkAFwAYABMADQAJAAkACgAHAAEAAAD///3//P/+//n/+f/2//P/8v/x/+z/6P/p/+j/5v/m/+L/3//e/9//2//W/9b/1P/T/9L/0//P/9D/0P/R/9H/zf/M/8v/x//E/8P/xP/C/8H/wf/C/8L/wf/E/8f/xv/E/8P/w//C/8T/v/++/77/wf/C/8L/vv+8/7v/wf/K/8X/xv/A/8X/yP/G/7z/wP++/7v/w/+//73/vf+7/7z/xf/I/77/wv/P/9L/0P/T/9H/z//R/9z/2//P/9T/2v/c/9b/2v/f/9//3P/q//H/5//n//D/8f/u/+3/7f/o/+z/9//5//b//P8EAAoABwAIAAYACQASABMADAAKABAAFwATAAsADgARABcAHgAgACQAJgApACkALAAuADYAMQAzADoAPAA9ADgAMgAuAC0AKgAqACkAKwApACoALwAyADMANQA4AEIARABFAEMAQgA5ADkAPQA/AD8APAA6AEEAQgBAAEcARgBHAEgAQQBGAEgARABDAEoAWQBRAFAAUQBSAGEAaAB1AHYAbQBuAGkAcgBlAGgAYgBdAHoAdQCNAHsAhgCLAHAAiQCJAHkAfwCAAIsAiQCKAI4AjACSAKIAqQClAJUAiwCDAHQAbwB0AGsAVgBDAEQAVgA9AEEARwBPAEoAQwBXAFkAQgA+AEYASwBCADgAJgAXACgAEwAUACYAGQAPABcAKQAZAAoADwARAPP/9f8FANf/1v/u/+z/3//h/wEAFAD5//D/BgDz/9P/zv/G/87/0f/U//n/+f8DAP3/9P/x//n/+//9/wUA/f/5/wkAFAAPAAwAHQAjACQAHAALAAsAFAAQACIAGQD9//v/3P/c/+//+P/5/9b/4f/2/+z/4f/Q/7T/g/9h/1v/aP9+/3//ev94/27/Zv9x/3P/bP9q/33/f/97/4j/gv+X/6D/pP/E/93/9f/5/yMAQABZAJ8AugDdAA0BEgEuAVgBYwFhAWQBTwEIASYBeAFeAcgB5gEeAfgAQwGHAQ8Aav+MAZIBiv4//6n+mAACAU7/fwBNAYECBAKrAHUBvP7g/Qj+Uv+N/0EB9QCB/6oCRQVYCAUCyvlt/UL/df4r/94B/AMGA8kBhwD+AC3+ov+9/+z8Cf6H/N/9qwCuAcf/zP8GA08DNAFwANX/Hv9b/h3+vv/R/xMCkwBr/y4AIACxAsQDuwTzA9EBHAIcAlsCJANRAeD/tADBAoUC1gFKAh0Buf9KADkB8wIGBLsBvf+O/vT9s/1s/iz+Wf7o/kf/Q/8U/3H+Tf2A/KL8Z/2U/Yz9rP1s/c/8wf3o/TL9i/3k/Pv7WfwX/Hf9+P4h/v/9UP1m/dT9QP0r/U395/2b/YP9r/2U/ir/AP5V/QD9pv0V/pb+xv4v/lv+U/5j/n3+m/2e/GP9W/76/fL9+v5R/0T+v/3p/c/9NP3m/Bf9Q/zZ/Lv+cP/b/tn+3f3/+5P8Tvya/KL90P2c/oH+Bv7//ZL90Pwv/IT8lv3N/n//hv+5/gn+zv23/XP9/Pxp/SL+m/6h/98AsACd/8T+rP3J/QP//v6q/on/lwDn/wgAGgCiAGMANP/5/tT97P3Q/+gAegEjAf0AagBK/2b+of0v/yUAVQAhAOH/pADDAOf/yf4b/1X/QAAuARUBtgCl/2T/XP8TAFAAogA/Af8AfwHCABIAkgB9AML/VADAABMBtgEfAukBDQFNAO7/2wBCAfkBwAFBAa0C9QElAccA6f+y/5YAuAJoA7kDCwLKAEgA6P94ALwBBQK+AUsCeAFSAooCcAE9AQkBiwDTACkBUQGSAWYBZgIHA6kCmwKYAMj+8/38/xwCpANaBAgCoQE0AQUAtf+//3wAswH9AnsDkQKaAGn/4v8rATcD+QM3Ao4AGwA8ALUB2QG/AQQDGANEAqAAr//X/0kBsgKaAmgCcQKLAuMBrgBl/6b/owFnA5QDQALrASEB0AAuARgBsgG+AlIDlgJNATYBcgHfAbABUAG4AUECkgLlAYIB2AFvAssC9wH+AJQAjwBkAQACKAORAjgB4QBPAO8AggHrATIC4wF3AbAAhQA4AbcBJgLRAXMBYQEoAf4AIgDq/xsBhgJDA4kBMwBRAKoA8gDcAOwAYAHfAVIBIABo/0wAkAEfApgBDADo/4oAzwDGAPMAyAAbAeYAKgD+/83/pADhAMAAogDFAJMBTgE7ADz/1/5IALkAYgAeAOb/sQAkAdgAmwDC/4z/Yv8B/y3/1f8EAaoBlwGaAE7/PP41/uj+9/99AFABlgHPAMP/1v1x/Vj+GQBtAYwBjABb/0j/Vv+L/0//K/9B//n/hABqAFkAxP9C/+f+qv///xUA2P9h/3v/V/+T/6P/pv+u/3L/8P4U/2f/0f8aAFH/qv5e/jf/vv+d/+7+E/5X/gv/2v96/4n+n/7m/lL/oP9N/ur9mv4h/8n/B/9d/oz+of7G/pr+sv6W/3H/0f5b/kD+Dv9D/7//pf8A/wf/fv4v/4T/Hf9r/4j/zf/W/4f/cv9M/0b/f/+2/wYAAADH/5j/Xv+9/w8Azv+V/yH/cf/s/9D/OgDx/xT/k/6J/kf//f/X/5X/9v7S/hr/D/8o/8P+0f5o/5T/uf/L/g/+S/6s/rH/vv91//T+qv4Q/8b+B/8Z/6H/GQBW///+iv7Z/gkAkQBTAJH/rv4I/8P/+/+o/8P+mf/gAEQBaQBc/tH9oP5pAFoBpQCk//L+bP8CAOH/GP8J/8T/xAD9AK3/ov7B/qX/VQCZ/wT/av97AOwAwf9i/iT+SP+4APQAIwDk/pj+hf8kAOz/U/9Y/ycAgQDi/7f+Cf4l/4oAMwGtAHD/4v4e/6j/kP9b/xYAoAD6AO7/1v6+/mr/uwD5AGgAnf83/3v/VwCKADEAwf+h/+v/8//6/6b/gP/R/z0ALADO/zX/+v7I/+f/2/84/yT/2v/3/4j/xv6Y/iL/zv92/x3/1v7//lz/AP/h/nH+0f4s//z+EP9u/pD+5v7a/g3/kv5i/qH+wf7n/pz+dP7x/gX/D//g/j3+S/5e/v/+Y/83/zz/nP6v/tr+4f4m/+/+Nf83/5r/7v81/9z+fP7I/p7/BABUAK3/S/9+/zX/rf+M/83/TgAuAHgAm/+y/9X/4P+TAIYAiQArAEQAWAByAGIAiAA2AXYBpwFLAJn/BADwACYC6QFYAd4AEgFwAUEBvgDCAFcBJwJQAoMBLgH3ACcBXQEaAVsBigHxASoCowFDAeYA+ACIAbUBywFtATMBWQFuAf8B4wFzAU8BFgFlAZUBiAGyAd0BHwIUAnQB4gDbAD4BDQJwAh0C2wG6AbwBVwHZAPIAswG4AqMC8gHuANYAbwG0Ad4BOgEoAZ4B9wHLAfQAsQDQAEcBbwH6AMEAvADGAL0AlABZADoAJgAIALb/w/+//ykADwBh/yb/TP7G/gX/5v5F/8b+ov54/j7+NP75/fj9+P0x/nf+df73/YH9UP1y/fv9Sv5M/g/+uP3J/bD90/0J/tX9G/7w/en9B/7w/Un+E/4X/g/+yP0g/vL98P0N/vn9df48/hX+3/1H/Z39pf0L/nL+KP4I/nH9Vf2d/db9OP4X/t79vv3c/Tz+W/46/hX+7/1l/sb+uf7M/qH+Av98/3P/dP8Q/1b/yP8RAJMATQCcAMcAyADQAFkA8gB/AQgCHwJ4AVsBmQEpAj0CcQI0AlMCjgInAmQCAQJnAhQD4gLeAgQCvQFAAosC6QLgAokCjwIyAg4CNwIUAsICogLZAvECUgKzAh0ChALVAtYCfQMnAwsD9wLcAngDzgPJA90DZQOSA8ED1wN2BGYEbARIBN4DGwQdBHUEowRzBLcESwSEBA4E/APsA9QDhQQvBCwErQM5A0gDIgNEAxUDygLBAisCUAIzAtsB6AEHAd0AnQCKAMcAVgAmAJn/K//s/oT+Mf7d/c790v2b/T/9l/y5+2n7DvsI+zL7+/rH+iL6bvnw+NP4y/jQ+JP4UPgk+OP34fdB9yD33PbR9nX36PZZ98D2Zfbs9kv2LffY9vX2AfeN9jH3DPeg99L3tffq99P3o/c/+Cb4Hfm6+bf5ffrN+Wr6bPrO+qL7Gfw0/c79eP5Q/o7+iv6i/28AegFnAsICDgTMA3wEQgS9BPQF8AYzCJUInQi2COAIGQnICe4J7QpQC2QLdgvkCvsKPwtFC3ULPgvvCv4KhAohCqMJPwlcCTgJ/Aj3BzQHkAYWBm0GvgWnBRcFDATLA6sCYgJTAvIBIALHASUBwAD2/4H/aP85/5X/mP+r/1f/2P68/lL+0v7m/kH/nf9V/5b/gf+j/wAAFQBqAPMAHAGfAbUBvAH8ARgCzwIXA70DzQPXAx8EBgSBBGYE1gQSBTIFdAUsBTsFGwX5BDIFDwUCBewEoASgBGIECATEAyQDBgPJAkYCMwKZAU8BCgF/ABwAeP/7/rH+KP7r/Yz9Bv3v/Cr8q/v5+lP6Rfr4+dj5Zfmq+F74/vel92T3l/Ze9hj25fXu9W/1J/XW9GD0NPTu82rzoPM881zziPP48j/zufJ68qjyO/LZ8uDyFvNO8wLzNfMz867zpvNA9PLzQvS99O70D/YU9u728fag95z3DPiW+OP4bPru+r/8Gf2e/dP9gv1l/hj/yABeAqkD9QTvBH0FqAWWBdwGrgcyCTsLxAsEDagMtAsYDPgKxAyMDc8O9A+LDywP+Q0EDS0MUQwYDB4N0Qw+DTUMxgprCXQHOAdRBucGqgZoBpYFVAQgA/EBJgFOACIA7//E/9X/U/+n/ir+EP3V/JL8wvxG/UT9iv1q/UD9Uf09/Tv9iP15/QX+ff7f/nP/fv/N/97/9P9oAJAAHQGOAeUBfAKtAikDOQNtA48DfwPsAyAEnAQJBT4FeQWJBYcFmQV4BXcFmAWZBeEFAQYXBgwGwAV0BfIEqQSNBGgEswSJBFsEHQRdAyYDdQIxAvgBoAHLAVIBWQG3AD0A3P9b/1H/GP8Y/7P+Xv7u/YH9Yv0w/Sn93vyP/Dv8tfua+zn77Pqx+nr6Gvru+Y75//iC+Bv43feC98L3/fa+9h/2aPUs9Zj0wfRi9Eb0NPSz81XzE/N+8kDyM/JJ8qHyzvL98sXydvJC8k7yWvIE80vzzPNt9FT0NPUS9Ub1zPW49XH2SPf29/n43Pk4+h/7+Pri+xf8bvzu/fH9//+1APYBPAPDAlUEcAN6BN4FLgZoCGsJYwpfC6wLuwsjDPQL7gyMDYYO/g8kEKMQGxCVD/sO1A4AD0YPdQ/ADzsPgg4IDj4M2wu7CiwKFApvCQIJGQjsBtcFugSmA0QDVgL3AUEBaADm/xX/v/5m/gr+7v1G/Q/9l/wk/Jr8b/wj/W79iP3t/ZX91v2W/f/9S/5D/83/8gBZAWMBywENAQcC4wFJA/UDkASRBVgFugWvBXUFwQULBmMGaAeRBy4I4wdiByQHmAbDBhcHNAfrB5cHzAdpB5EGqQZdBZ4FVgVOBeMFkAWdBQYFjQTiA2ID/gJtAp8CDQJ4AkwCCgIJAukAewBv//X+pP59/r7+t/7E/nf+zf0P/TL8YPs8+wr7ZPvj+7j75vsx+0r6z/m/+Kb4nPiN+PH40/iP+En4ZffG9gb2Z/Vz9fT0bPXh9KH0ZfQy82nzSPJB8uHxU/Gm8RPxd/H78AvxwPB/8K7wZvDu8OTwZ/Gh8e3xavKY8jHzOPME9EP0JfUR9of2wPf39x35oPmX+kL7CPzR/G/9tP5X/+UAkQHvArQDwwRVBQcG2AaoBqUIeAiyCswLWwxuDl0N5Q5BDn4Oaw/VDmAQaxBAEcQRmxFrEegQAxDzD0APEg/sDhQOyw3ADD8MAAuMCiEJRQg7B+MFOQXUAyED8gE+AXIAqv84/yj+XP2B/Hz7m/sz+3D7rPtP+6n7WfuR+6H79PtL/N38yf1c/nv/5v9iAAUBKAE/At0C3gPqBDAFGgY8BtQGYAecBzQISgjvCEAJjAm5CWAJZQnfCBkJ/wjQCNAI4AfRB+YGpgZnBtwFswUvBcgEagTdA/0CmAKUAXABQQEfAUYBxgBzAKv/Rv/r/qT+nP5V/m3+af5U/lL+KP6G/Xr95fwm/UL9LP1w/dr88/wz/Fr84fvP+8v7PvvM+wL7gPsU+4T6n/qM+bL5RvkN+ev4b/gK+LX3ffcC9+j2+/WV9Qb1YfRJ9H7zavOb8mfyIfKD8b7x1PCE8Enwhe/T76vvhO/973jvye/q79TvU/Ax8G/wvvAT8dbxmvJX8yH0mvRo9Q/26vbv91v4dfkn+iT7kvxS/Zj+M//s/wcBpQEFA7MDfwSABcsFSwfEB7wI4QmdCRYL/QrXC68MQwxFDfwMqA2VDu0O7A/lDwAQERC8D8gPLQ/5DlgOPQ4oDvEN/w0nDeEMqAtJC3IKsgkTCccH6AbeBR4FVATPA4oCSAICAbAAJwAE/6T+Uf3e/FL8Wfwb/FD8Cfzr+yn8+fuU/Iz84fxJ/ZD9b/4E/9D/ZwD1AIEBZwLrAtsDTgSGBDwFNwU9BqwGWgfYByYIeQijCPAIxgjCCG8IRAgeCDUI/AcHCJQHNgcSB0gGRwZgBfAEGQRPA/QCDQISAkcBIQHLAEoAUQCg/1P/of4T/nf9Ff2i/IP8Rvw0/F38QPye/HP8jvxl/BX87fuC+2n7/vpQ+yz7ZvvW+4n7M/zp+w38Cvyv+4j7A/sL+1f6tfo2+jH6jfro+Y76Efri+YH56fg3+Nz3Rfev9sP2z/UV9ov1PvVJ9XD0V/SQ8xHzufIO8uLxUPEO8ebwuPDr8L7wDfHU8PrwFPH/8GzxbvG38TTybvIg88HzQfQv9bP1ufZ292r4cvk4+kn7Bfzb/Lf9n/5j/5cAOAGIAlIDNgRGBbEF0gYZBwoIfggNCc4JIArpCg8LvgvrC34Mwgw+DWwNyQ0RDiIOwg6hDnAPbw/eDwcQDRDsD7MPhA+2DuMO+Q3+DcAN+ww4DVIM8QuTC7cKSQqQCa0IzAfSBrgFngTdA7ECIAJ8AZEAfwBo/xr/ev6l/W79uvyZ/FP8Gvz6++b77fsg/Hv81fyG/QT+i/5Y/5D/PACzAOwAwgEFArUCUwOxA0sElgQyBWwFGgZKBpAGDAelBgUHnAZUBkoGywXMBY4FawU0Be4ErwQ9BAYEbwP7An4CqAEgAUYAhf/f/kP+s/2J/T79/vwH/Zj8mfxl/B38Hvy4+8r7f/t3+2P7UPul+477NPxM/Mj8Rf1P/c/9rP0L/gf+Jf5W/jr+jP5p/pT+rf6Y/r/+nP6z/pH+g/43/uv9if3z/LD89/u3+w77jPoN+lf5BPlG+PL3KffM9hz2svUP9YP0F/RP8y/zWfJg8tXxm/F/8QzxJPHT8Bnx3/Ay8TjxTfHD8fTxR/L28hLz3vNY9Ln0rfUJ9sj2q/cE+DD5ufl++oH7zvso/Y39f/6A/9r/+gCAAe8B6AIKA9YDZQSwBI4FsAWNBuUGTgcdCCoI/Qg/CYMJLgoUClAK5wpCCmcLAwt7C1oMnguCDVEM/A2bDfINFQ/ADYUPBw68Dk4OcQ0NDpoMNA1dDDAMQwxFC6ULfgpcCsEJ1wirCEwH9QaVBeoE0wPdAicCOgHEAPX/p//X/pT+4f1w/Sf9dPyY/Nv7+/vF+3/7+fvI+3L8uvxa/fn9iv5B/5j/SQCRAAkBjAHUAW0CyAJEA7IDLQSiBCQFpQXsBWIGcAaKBnkGLAb4BXYFNQWsBFcE9wNtA0cDsAKbAiwC4AGeAQEBxwACAIj/1v4c/oj90vxK/Mz7YPsQ+9L6tPqw+r/62/rr+hn7GPsZ+zz7+/o0+wn7Avs6+xL7cvuO+9D7RvyT/Cb9if0Q/mb+y/4O/yf/a/9L/1j/Rv/r/vT+d/5a/vz9sP2V/Sr9Gv2x/H/8J/y4+2P74fph+uf5RPm6+CD4g/f+9m72D/aS9WP1DvXm9Ob0n/TL9KL0uPTX9Mn0/fTr9Af1HPUc9Vr1YPWb9dr1AfZ+9qf2J/eC9+f3cfjR+GP5y/lP+qz6J/uG++37Tfyy/Av9Xv2+/Qb+af62/hD/Y//J/xcAmwDiAFkBxQEgAs8CDwPTAxgEyQQwBa0FYwaSBpIHsQeWCPYIcAlWCmAKYAuECzUMxwz7DMsN4g1wDsYOCw91D8APABA7EGYQWRB9EDYQDBDADzwP0A4nDoUNzgwSDDILgAqxCe4IWAh2B+IGEAZzBc4EHgSXA8gCRQJxAd4AMQCJ/xX/gf4c/r79ev1D/Tb9BP0b/Q/9Lv1h/XX9tv27/ez9BP4e/kD+Vv53/pP+xP7d/h7/Rf+L/8f/BgBOAJIAyADyABsBEAEjAQsB/ADiAKAAagAXAL3/c/8n/8n+mf4w/gn+yP2B/Xb9DP0O/br8jvx6/BD8CfyD+137+PqX+m367/ng+XT5ZPlG+Sv5UflT+Zz5zPkt+nn65Pow+4/75/sh/Ir8svz+/DH9Yf2W/bz99f0k/l3+i/7B/vn+JP9c/3n/j/+l/6D/m/+a/3P/Y/8f/+X+tf5k/ir+3P2e/VX9I/3k/LD8mPxO/Ez8HfwJ/A/87PsG/PP7CPwR/Bn8RPxG/H38gPyc/NX8v/z9/P389fwz/fT8Mv0N/QT9KP3W/CX9vfz9/MD8pvy2/Ez8jvz/+yr8wvuc+2b7/Pr8+mn6d/rv+ev5ofmJ+Yz5Xvmh+Y35+/ke+nz68fpI++z7Xvz4/JP9Kv7Y/oP/MwDoAJkBSgL4ArIDagQlBdoFigY5B/IHjAhNCdsJgQoVC4kLLQyGDAINVA2UDegNAQ4xDi8OIg4EDsYNiw02DdgMcQz9C44LGwupCjgKywlhCfcImQg6CNIHawfoBnYG8QVwBeoETATFAxwDkQL1AWMB4wBPAO7/c/80//H+tf6a/nD+dv50/o/+qP7C/uP++/4g/y//Sv9Z/2P/dP9q/3z/ef94/33/gv+V/6z/uv/W/+L/6//9/+3/6//X/6v/hf9C/+/+lv42/r39Vf3X/Fv8+vtu+xf7ofpM+v75tPmB+Un5Ovn7+A353/jl+Pn43Pgb+f/4OflF+Wr5pPm8+RX6LPqR+sD6D/tl+5L7/fsv/Hz8y/zx/En9bf2h/d796P03/j7+d/6S/qX+0v7O/gD//P4W/xj/GP8g/wz/+v7m/sn+rP6G/lb+N/76/dr9qP1+/Wf9RP1M/TD9Wf1c/ZD9wP33/Vj+lf4U/1r/1v8sAJEA+AAwAZoBuQEEAhoCMQJIAjkCSQIxAiMCEQLvAdoBuAGYAXgBTAEuAfMAxgCNAEgABgCl/13/7v6Q/iT+rf1Q/cr8a/z6+6L7TPsH+8j6n/qJ+oH6j/qd+sP6/fo4+5L72Psv/JT84vxW/av9H/53/ur+UP+7/y0AigAaAWsB/gFkAu8CbwPpA3gE5AR7BdgFZwbKBjQHoQflB0QIcQi6CNYIAQkPCRUJHwkPCREJ7gjfCL0Iowh/CF0IMQgKCOAHpgeLB0QHJAfUBqQGXQYOBtQFdQU/BdcEmwQ6BPEDqANXAxsDygKaAlMCKwLzAdkBrwGSAYABYAFTAS8BKgEAAfIAywCtAIoAUQA5APX/z/+Z/2X/P/8E/+T+qv6J/lf+LP4O/t39v/2Q/Wz9Tv0i/f/82Pyt/Jj8dfxX/EH8IfwI/Pr73/vN+7z7oPuT+237W/s8+x/7DPvq+tn6vPqy+qH6lPqV+n/6i/qE+o36nvqh+rb6vfrU+tT68fr5+gD7DPsI+xn7Fvsn+xz7K/sx+zz7Tvtd+4H7k/u7+9r7/vsq/Fj8g/yz/OL8EP07/V39if2d/bv9yv3T/eb92/3g/dX9yv3A/az9of2G/Xr9a/1i/V79Zv1y/Yv9sf3k/Sr+d/7N/jH/lv8JAH0A+ABpAeUBTALOAiQDnwPyA00ErATwBFcFhwXkBRwGWAagBrwGAgcXB0YHVwdVB14HOAckB+oGowZWBuQFfQX5BHAE1QMzA40C5QE+AZQABABg/+L+VP7w/Yb9MP33/L38kvx4/Fv8U/xK/Ef8U/xT/H38iPyw/NP87Pw1/Uj9o/3O/Sz+ev7D/jb/ff8FAFsA3wBPAcYBTgK5AkEDrQMnBIwE8QRYBawFAAY1BnUGmQa9BtEG2gbpBuAG4gbMBr4GpgaMBnMGTwYzBgUG6QW2BZMFXAUyBfwEwgSaBE4EKgTaA7wDeANTAyID8QLaAqoCpwJ+AnoCVwJMAj8CJAIiAv0B/gHVAdYBuAGqAaABgAF9AWMBVwFKATYBKAEGAe0AygCfAHcAPAAPAMT/f/8v/9n+i/4k/s/9af0O/bv8Z/wU/Mb7fPs7+w772frG+pr6j/p4+m/6bPph+mn6Yfpo+l36V/pP+kX6Mfoo+g76D/r9+fz5/Pnz+QP6Bfoj+in6Uvpm+o/6rfrG+vD6+vov+yn7V/tX+2T7dftl+3/7Yvtt+1j7W/tV+0r7SftC+0f7Rfte+2H7ifuo+8X7B/wk/Gr8kfzL/Bj9Nv2R/a/98/0o/kP+kf6f/ur+Df8+/4D/q//+/x8AegCxAAoBUwGkAQECQQKeAs8CIQNLA4EDswPMA/8D/AMjBB0EKwQzBDcESARIBGwEcwSUBLAEzwQFBSEFTgVsBYsFngWjBZwFhgVXBRsFxQRuBAUEmQMfA50CJAK6AUkB9gCnAGUASQAhADAANABMAH0AmwDvABYBZgGXAdAB/wETAkUCTAJwAm4CfwJ3AnQCcwJfAnICTQJtAlkCYgJqAlMCcgJHAmICPQI9AjQCDwIWAtoB3AGJAXcBKAH2AMAAXwA5ALn/j/8l/+r+o/5n/lL+Qf5G/mv+kv7R/kf/i/9OAJ8AZAHuAXECQAOBA0wEkAQNBXQFmwUXBiEGagaLBpgG0gbgBhUHPwdXB4AHmgenB74HrgebB28HGQfLBkAGsAX3BCAESwNGAm4BdwCE/6j+tP30/DT8k/sZ+4X6Qfrf+bb5lvli+V/5MPkx+SD5DPkW+fn4+/j0+Ov4B/kV+Un5h/m7+SL6dfru+mn71vtk/Mf8SP25/fn9Uf5T/l3+QP7+/cr9Sv3k/FD8v/s2+436EPqA+Q/5ufhY+C747vfZ98X3mPfB95n3z/fP9+f3HfgT+IL4ivgN+Xb55/mt+jv7Jfzl/L/9rv5s/1sAIgHpAZgCIgOPA/oDIgRWBHoEVgR3BBwEGwTVA3YDVAO8AoMCCgKYAUIBmQAyAIv/4v5y/qf9PP2g/Bf8yPsz+wn7r/qW+qL6pfr/+jX7q/sM/ID88PxP/b/9Ef5t/p7+2f7p/vL+8v7e/vn++/41/4H/t/9IAH4AKgGZARwCygITA9QD9ANpBIoEhQS0BHEElARoBHQEgQR/BJcEnwTgBCIFeQXUBTEGegbABtgG+QbiBsMGfAYlBs8FbgUcBZUEQwSyA3kDJwMNA/4C0wLUAp8CrgJ8Am4CHwLiAYEBOQHcAJsAUQDf/9r/gf/b//b/YQD1AEwBLgK9ArIDewQxBREGhgY9B8EHDgiJCJQI1AgJCQ4JkQl1CcoJ1wnACSIKxwkfCqQJZwnyCA0IpQdkBqgFYgQ5AzAC5QAGAOT+1v3s/AD8UPva+kX6Cvp8+Tv5+viW+Kb4L/gj+Ov3q/ew91r3TfcZ9/v2L/c+99n3KfjB+En5uvlt+t/6nPsK/I780Pzt/Pr8wvyO/A78tPs1++D6kfov+ub5cPkg+dX4o/ih+HL4bvgt+Pb3v/dj9zX31/au9pH2gfak9qr24/YG91n32/d1+C/55/mT+jP7yvte/PL8g/0h/qn+ZP/h/5YAHAGhAU4CqAKdAxIE7gR6BdQFLgYdBkoGAwboBXwFMgWoBF4EwANwAxEDxwL7Av8CrgP+A7IEFQWRBfcFOwaSBokGvQZVBlkGtAVzBegEdQRoBA0EmwSGBD0FiwXVBWAGPgbIBoEGtQZrBgcGqwXNBEsERQO5Av4BrgFyAWIBcgFmAXMBKQE3AdEAugBVAPf/hf/E/k/+Y/0K/Wf8QvxA/Gr88/xQ/QT+Zv4T/37/RADUAH0BBgJDArACtQL3AvICJwMzA4wD1ANGBLwE+gSJBZYFRgZsBvgGJwcSBxcHVgbdBesEzgPOAnUBQAAf/6H98vyV+/n6MPpY+T/5dvik+DL47vfU9yP3Fvd09jT2CPZh9Yz16PQw9UH1qPWe9jP3yPjK+dz7cf13/yUBZwL2A4cE+wVEBgYHDQfIBukGaAbCBlkGdAYcBtIF5AVrBWYFiATGA4kCPAEDAHj+Lv1f+xn6h/ie9/j2e/aU9lj2sPbh9o/3JPix+Ef5Yfnj+RX6oPoE+2z7D/xk/GT9Hv4v/xIAngBSAXQB6AHeAewBmQE0AaUAFgCR//L+g/7U/Xz9zvyF/Pz7lfsO+1X6t/nW+DX4aPfq9jn27vVz9Wz1dPW59Wj26fYc+Mr4Dfr8+uv79fxr/Ur+q/5q/yYA4QDwAbkC1APEBMoF2QauB5gIQAmpCfgJ5AmcCTEJgwgICGcHAwfFBpoGmQaBBnEGLwYEBp0FVgX4BJgE+wNlA70CDALwAYgB4QEVAocCbgPhAwgFYAU2Bl8GmwbQBpcG3AY+BjEGhQUaBe0EZQS1BDkEMQTSA3MDOQOLAjgCMwG2AAoAf/9n/9P+uP4A/sz9U/1g/Uz9Qf10/fr8l/0q/dX99P0J/q/+h/6r/8v/vADiABoBUAERAdYBvwFwArQC3wIeAxUDLAP2AsUCeAI0AhICDgLhAdIBVgEgAd4A6QBbAY0BIwL3AUIC1QHtAbABagF7AfkAawEIAYQBJgHhALcA4f8nAGP/3P+B/4v/sP9U/5n/XP9z/0n/E/+1/nj+9f3g/Xz9r/3M/VD+KP+b/8EACAHaAVACigL0ArQClwI8AvcBuAFuAToB7wAMASABcQGqAZMBcQEFAeoAmQCdAGwAMQAiAMn/JAATAIwA6wAqAcEB5AGNAooCggINAnIBOAHiAC4B9wALAasAWgA2AMP/0f8o/7X+/f0V/ZL8Tvtw+t34+veD9zr34feM98n3Efdi9sz14fSG9LTzPvN08hTyoPGK8YjxCvLd8n70n/bQ+PH6i/sD/D/7xPqn+pn6dfvU+zT9Mf6s/6YANgFrARsBJwEDAdgATQAi/8r9RvxJ+9L61/pC+3D72Puy+6D7MvtV+n/5UvjZ96v3TPgp+fr50PqA+6v8Jv7+/8QBRQNLBEIFBgbiBsIHWQhCCSYKWwu2DKoNUg4jDsENEA1xDOcLSQuSCnwJbwhLB38GqQUBBS4EbgPpAjUC6AHpABMAL/+D/qr+7v7n/4AAVwHrAWsCKgOFA0sErARCBdYFSAbsBvoGHgflBtwGBgcvB3QHQwfiBk0GegXJBAsETQO+AgoCjwH2AFAAtf8F/5r+Uf5H/nv+kv64/rP+mv7D/vP+mP9QADEBIwLAAmwDkAOvA4EDbwNtA7MDLwS2BFIFnwXtBdAFwgVVBdAENQRXA8ECqQEBAej/9/4i/gX9nvza+7H7T/vr+nr6kfno+Aj4x/fE90f4G/k7+lr7kPxY/dv9W/6r/sX/rAADAvQCrgM/BFoErwS+BCUFcgXZBQEG1wVPBYIEYgNMAksBhgBQAAUAOADH/4L/tf4b/rT9Kv1G/aL80fx+/KD8Cv0I/cX92v1w/vD+Tf/v//3/FAAiAAsAxAAOAQ4ChgK8AkcDmALzAikCpQFcAVEAVgCO/yn/Y/71/Lz7OPqe+Sz5G/lC+aP4nfjw92X3EvfV9ZH12fTe9FH1zPVZ9uf2e/ck+Kf5E/v3/C7+ov5//un9gP1c/X39n/0Y/s/+n//HABYByADz/1b+lf1r/Or7Svtt+gz6j/nX+ST6n/rN+p36Yfrs+cf5t/ld+W/5L/mp+Zv6ePvV/DT92/1m/hj/WgD2APQBGAJkAq8C/wLDAysEpQQLBUkFswW8BVIFqARUA3kCzwGvAdYB/gEwAjUCYQKrAucCFAMSA6ECwAJ2AuICCAMjA28DUgPiA0QE4QQ/BUQFFAWqBFAEBQS+A40DQwNeA3oDlAOJAwUDEQLyALj/ov5U/tH9Qv6R/ib/GgCoAHUBrQHrAZ0BdAE7ASEBaAGTASICwwJ6A5wEQQXQBfwFfwUaBWcE+wO/A50DeAM0AwUDXgLyAQAB2v/N/pv9+Pxk/Cr82ftv+x/7nfp6+lj6Wfpn+kH6jvqZ+jL7x/sj/OP8E/3z/Vb+Hv+H/7T/IADn/2oAPwDAAKEA3gAQASQB4gHZAX4CEwJRAvUB5AEZAgMCzQLeAvEDOgTgBDsFKwWNBV4F7wUmBuAGbAflB5cIiAj0CLMI9wgYCSoJawnYCJYIbQfSBnEFkAS5A7cCwAKmAZABNgAM/479Bvxo++L6mfvS+6/82vw0/bH9IP76/sH/1AC+Af4ChAMdBP0DoAO8A8kDpwQyBUEFsASfA3ACqgEdAbkAQgBi/zb+nfzX+rf44/Yr9Vz0hvTl9Lj1hPUA9e7zLPMI86fzuvTJ9T33I/iW+Yj6gfti/Ab9UP6q/6MB6wK/A20DeAK7ASEBSwGPAc8B9gGbAS8BNQDX/g398Ppl+T74UfiM+Bb5Ifnd+ID45PeP99z2ofZE9sj2yfel+b77nv1W/0UAMwFxAdUBogGVAX4B8wHYAgMEGgWzBfgFnAUqBTcEaANpAoMB5wBbAG4AgQCZAKYAagBpABwA4P9H/3T+1f0C/f381/yE/ef9xv6N/0oAEwE7AYwBWAGkAc0BEQI9AgYC+QGuAX8BngF6AfMB0AHsAYoBCQG0ANf/0P80/9H/0/+PAJsArACBAP3/6v+P/0MAmACeAQECdgKaAs0CNQN5Aw4EDwREBNwD4gNTA/wCcwLtAQUC7AG0ApUCmAK+Ae4AbQDU/x4A0v89APH/+/+O//b+df60/Vn9Ev16/Q7+2v5N/5L/qP/s/zoAswD+AIEBtQH6Ae8B7QHhAcoB9QHXAUUCOgKOAucBSgEaADr/pv5Y/pn+hf4C/6b+2/5j/mT+If7p/UD+Y/4c/1P/xP/w/zMAiACpAAcBLQGBAZYBtwH5ARsChQKzAvMCBQMlAyED5wLGAiICogEBAWMAs/+z/v79N/0m/Q79B/27/A/8dvs++pf5lvg6+OL3Ofig+D/5Svqg+lH7T/vZ+/j7mvz1/FD9//1W/nz/1f8WAXEBigFkAbwAXQC5/6z/4f4H/+D+Gv9e/y//PP+H/kb+oP2F/W395v2f/nD/kQATAakBKAKcAvcCbwPVA7kEjwWVBmUHRAhWCUgKJwudCygM/wvuC/YKQQpRCY4IaggoCNsIwAj4CCkIgAdPBuAEpwPyAVgBhwC2AGUAxQD8AHoB8wFbAf4Anf8Y/zP+5/1J/hb/twALAi4DmAOcA/AC/gH0AFAA+v80AMUAlgF9AhMDewMOA2EC4wCO/zP+Kv0u/E37Dfs7+278H/0C/v39mf21/FH7NfoW+bX4hPh3+bb6Zfxx/cH9zP09/dP88Puj+zj7Ffvi+ov6uvrC+lv7s/tE/Nb85PyQ/Gv7U/pE+Tz5Bvqc+5D97f4AACQAwf+o/o/9FP0N/XD9vP0j/ib+1v1I/b78vPwc/ZT9wf3P/XL93Pw//OX7O/wb/YP+NwDcAdsC0wIrAmwB/AC6AA0B/QHlArgDAwQbBCIEqwPhAg0ClgFfAfAARwC5/0T/+P6+/gf/vf9GAD8Alf81/8z+d/6O/gP/NAAXAcsBJwI3AhgCigF2AcsBvgJ+AwIEXQRVBBcEiQM/A+oCogLwAXcBZAFCAQ0BswDCANQAzABeACcApv/y/gT+RP1j/az9K/46/mr+T/75/YL9Cv3M/KH8mvzu/Jn9Hf64/hT/uv9KAK8ABgFhAXAB1wBTANv//v8cAHIAswARAQ0BeACb/3X+if1P/Pj7E/yw/PL8yvxG/MX7bfvE+qL6rPop+1L7+PuV/Hz9Vf7r/s//rwDmAaMCkQMTBKQExQRIBRUGngY/B2UH2Qf7ByIIWAeRBtcF2QQSBEwDvQIrAlIBOQBq/zb+xP2m/Or7VvuM+jr6o/nN+Ub5Tvkp+Un5I/qB+in7m/tY/P/8Iv7r/kYA2wBtAQsC2QGJAlQCuwKMAoYCLwJ4AT8BMgDW/93+c/4f/uL9nf0M/cH8jfy0/K38AP37/Pj81Pz9/Db93f2T/iD/DQChAGkBoQEvAgYCCwIjAh0C5AIKA8IDkwPaA8wDfQNiA4YCYAKLAdcBlgHrATYC0wEGAlUBtgFZAdoBIgJ2AvsCEwOmAzQD2AMEA6gD2gNnBFoF+wSkBZUE/AQZBBgE3gMUA2EDPALhAmoCbAJdAtEBjAGXAZkBGQJGAkICJwLQAccBdwGmAUMBgAGAAd0BGQLuAboBdQFlAbEBpwIaA+gDwgO6A3YD5QLjAn8C/AKLAvQCqgLXAm8CogFXAVMAsQALAEUAxf9L/zv///7I/yoAAgEtAfgAcQD4/3T/Af+X/q/+C/9D/wMAMgCpAFEA7P+h/yz/1v4y/rD9Wf3s/Bz9gP2m/cr9/vy9/Kb79fo0+rr5E/oe+vX67/p7+xj7vvoQ+ob5xfnk+fH62frC+877RfyC/LP8yP3v/aj+Iv5p/tf9of1T/S79/v02/mL/S/9q/1T+M/0J/KL6afrY+VX6X/qI+qv6mPqo+jX68fmE+X/5bvnF+RX62frP++f8HP6i/i7/xv5D/mf9nfx+/FT8+fxJ/Wb+CP+u/9L/bf9D/23+N/5P/Uf9nfyQ/Ij8Qfy+/GX89Pza/Er9ZP3o/Uf+XP7W/sr+gv/Z/5AAMgENArcCcwMHBAIEQgRdBNcEIAWFBcUF5gWnBSwF/QSmBNYE3wQ1BYUFYgUUBXYEAAShA4sDrAMMBHYE5gTWBJwEFwSZA3wDpgN4BGQFfgb7BmMHjgeoB5EHUAdvBz4HiAdaB6gHcgdBB0QHQQfXB8QHnQeDBm0F/QPbAu8BPAH4ALkA/wDtAPUAdwDX/y7/7P75/gb/AP+2/m7+GP4J/iL+0P40/77/+/8cAA8Aav8u//X+jP8lAPIAfwG5AfQBfwF1AeMApwBTABQAJwABAGEA+P/3/5X/qP/B/2r/X/+1/uv+xf58//f/hwD/ABABYgE2AScB0QDJAMgA9gArAQkB+QAEAQIB9ADdANIAfgABAJ//Mf8N/4H+Mv7n/Uj+s/77/iv/Gv8q//D+8P5o/hj+ov21/Tz+L/8OAPj/kf+e/s/9hvx7+4z6c/o1+3H8Ov4z/1j/F/7L/ND7uvvW+zX82vyd/bj+Wv+o/0P/D/+a/qj+mP51/uj9iPyO+1D7lfzK/Qz/Rf9y/wT/9/3G/Ef7Xfrx+av6o/sk/dv9z/1L/ev8Vf3X/Tr+Av4L/s79j/1O/SH9ov0p/qD+Wf/A/3P/W/7z/BT8RPwF/fv9Kv+P/7v/Gf85/lP9xfzd/Dv9Kf6H/in/xf5a/gX+lv3v/dv9S/6z/gn/tv5j/mj+g/41/xQAbQH9AasBIgF+APb/nP9Y/3X/KwDpAGsB0AEoAVIAqf+f/y4ASAFGAnkCAQL/ALgAPwBGAJYAcwG5AvgD4gQDBeUE5AOTAxQEZQSiBJsEdAReBGoEywQVBUoFMwUgBdYEFwRMA3gC7QH/AYECuAMkBT8FHgXGBDwEvQMaA8cChQKoAs0C7gIgAycDvgOWBDcFlQV6BRYFvwMkAjoB/wAvAV4BLAJJAxUE2wPQAtIBFAH/AOwANgGaAc4BPAIlAisCTgKcAnUCJwISAiACLQInAZoAUgC7AE4Ag//m/v/9uv3s/DP9dv0A/lj+Iv4j/gX+M/71/ev94/1R/sj+z/6M/kP+h/6N/s3+8f75/uD+Y/68/dz8e/xo/Jf8+fx0/SX+vP7X/lL+uv1r/TL98/z7/Hn9u/2//Yf9SP1v/bL9zf2x/an9OP2o/Pf7Y/ux+2z81v0p/wAAaAAOAC//V/4P/hr+f/71/nr/5v/F//7+Wv4o/iv+1/4m/+f/FQBL/5j+zv29/cb9aP4O/wUAdgAEACn/fP1V/K37EPzy/ED+nv95AO4AWQDg/3r/JP9H/5//VgDWAO0AxACpAP0AnwFBApMCuwJpAsMBqgCo/1L/1v8qAVsCcwPeA2cDUwIMAVIA6/8KAFsAWACEAIUA//8Y/1P+Of7Z/pn/DgBmAG4AOQCz/2T/w/90AAwBqAFvAhgDAASDBD4EJgSIBDgFtQWoBUYF6ATVA0MCyQABAAQAqP88/z3/wf+1/+z+yf2E/Ev8gfxQ/VL+qf+pADUBXwEqAT0B0ABPAK7/kP8UAKYAvgCwAKcAxACzAIcA7f+N/pX9bvwL/C78rvzw/Rz/WgBJAcIBcQEwAI7+Hv3D/Eb95f3W/rT/aAD/AOkAgwAEAFv/f/7C/RX9j/z++8P7kvwI/s3/JQHOAaIBbABu/q/8z/sZ/Ev9Lv+3AacDqgRhBDsD+QFgAAf/x/0W/cv8afyf/Nz8n/3b/uT/7QBQARMBFgB4/gD9KPw9/FX9Nf8tAdQCxQPoA24DlAKFAb4AqAB8AFoASwAnACEA1P/p/4gAOQGnAXAB3QBFAK3/H/8H/8j/8wA9Ak8D5APUA8gCbwFfAO3/EQBuAOUAlwFNAsACEAP+AsQCKgJ8AR8BvABCAKX/Z//C/7QAAAL/ArMDEQToA3ADkAKPAaQA4P+V/9H/xQAMAq8CYwKqAf8AIQD0/gf+iv2q/Q3+fP4Z/7T/RwBbAHUAvwBNAbUBPAFUAE3/B/9D/33/AwCoAF4BiwEJAUYALf83/jv91Pxq/XT+kP+k/0b/2f57/i3+hf1n/aj9Rf7l/kv/u//z/yEAAQAPAFAAiQB7APD/Pf+B/hf+2v3K/SL+HP80ALcA2ACrAGYA5P8n/7H+jv7P/if/if/n/xcA6/94/2L/U/8L/6D+FP51/Tv9M/1S/cD9Jv69/l3/NADkAMcAPwC4/17/Pv9s/4b/mf/Z/xMASQByAGEAJgDm/9n/DwAzAEEAKADj//L/QwBfACsAFwAZACwAGgDQ/5j/Z/9L/0b/j//Z/xAABQDr/2EAjwBMAN//pP+9/+H/KAAdACkALAATAC8AFwBIAFEAPwCbACwBoAGEAQUBmACXAPUATgHXAT0CbAJzAg4C1wGJAewAewA4ADUAagCEACcA6f8eALAAjQEvAsIC0AITAm8B0QBlAGkAqwA4AeQB5wJzA2cDIgNnAowBuwC2AHIA3P+M/83+pP4N/6b/LgDIADwBDQG9ADAAiP8h/xv/Z//e/9AA2AE/Av0BgwEeAeQAYwD7/+n/i/88/97+/v6m/xMAngAYAR4BAQHYABUA5v5Z/iv+bP51//P/VQDNAIIADQCC//3+nf4b/tP9zv3r/Sv+PP4D/gb+h/4D/wX/A//d/uX+7/62/uX+DP9b/9X/OQDXADwBKQGHAPL/0P+F/zD/gf+v/4T/yf9EAFEA9v+u/0b/Of9l/4H/Mv+u/sL+hv5z/o3+y/4v/wT/qP6j/vz+j/6A/RX9kv2L/hj/l/8PAB4ATgDm/2//7//P/4L/FQBaAIsAnAAjADz/If/m//T/1//Y/33/dv9z/x//PP94/3r/if+L/6j//v+g/1r/sv+zADMBqwChAFQAKwAbAL7/o//o/of+6/6r/qv+Uv9Y/1H/ov+x/3EA2QCd/0r/z/86ALQAhgCzALMA2gBAAOv/VgCB/6v/N/+J/yQA5v9b/5L+4/4q/3z/BQB2ALb/Yv+B/0z/6/4d/zEAygAZAWgBFgGfAPD/T/8X/9r/kwBm/zH/AgCjAMr/cv87AM//Kf+y/kT/kP+F/+7/HACnAFABlgAe/xP/DgDs/xj/Tv+h/2H/of+r/6EArgETAf8A7gDx/4//lP+W//z/tAApAsoBOwDl/9T/fACJAEsA1P+7/8UAPwAk/1YAxwDh/zv/KgA/AZUA/f/s/4//UABbAf//sv+J/90AMwH9/9b/9/7d/xAA6v+0AFQBGgFqAG8AewETAUgAqf8p/6b/AgF+AJP/TgBRALQAEQJuAUr/mf/VAPX/3/7p/1MAAP91/xwBjAEvAagAKwBYAHABOgEt/yoADQFUAOoBCAJrAUgAHwBLAdgAQQBQAJL/nAALAM4AhwKwAFkB6gDgAbICywA1ADgASAAmAXQAGQHvAf8AnwDx/7QAEwGiAG8A5/+5/44AUwE3AD0AJwF0AcMALwDNABsB6ACZAOT/C/+eAOH/1v+d/9H/1ABAAAgBEgD+/14AOwCgADwAOgESAZv/EQJsAVgAhQF3/xsAnACg/+7/zP9QAAkAgv83AGgAev+W/6wAhwBm/4cA4f9N/hQASwBqAFIAzP/8/6P/CQBLAHP/nv5MABMAbf+z/6r/WP+8/un/PwBEALD/1v8AAOn/t/4N//X+xf5y/iD+fgA2ALn+Tv8z/63/Av8g/5sAcf/9/6X/WwCT/4P/tgD//7H/yv9xACf/V/8OABL/9v61AMn/7P6w/7H/Dv9G/Yb/dgDo/SD/8/87/1n/9//G/wX/Z/8EADj+Uv1+/kv/9P3K/ZEAKwCTAMb/U/4n/87+4f7M/uv+/f53/3P/KQAYALr/aABn/1L+i/56/7f9Lv4F/sX/qP+A/qL+2/7J///+yP/l/n/+Of36/RH/Nf5w/hb/cf+o/lf/PgD2/W/9Iv5C/8L+h/6i/0v/6f0EAEsAk/6P/6r+zv24/uf+LADy/hb+if8M/6r+Uv/e/47/JP+k/0n/Hv4P/pT9Ov+a/zD/pv+UAMf+nv5lAEL/tf3S/ukAeP5d/rwA8f5y/2IASf8GAEv+2f5o/vT+vf/q//X/8P/3APD/IwBkAJr/sf95AP/+Av/IALkAF//9Af4BZ//mAMT+jf2BAMT/P/89AIgAFwAd/wwBFQHx/6sAtQBZ/9b/cgABALz/Xv8NAdr/4ABoADz/jwBmAJb/dgBRAVf/OwDFAGMAUgGAAGoAbgDHABoAv//QAEAA0ABHAO3/DQH5/wAAwACe/yoAngAhAZAAmwAJAHABOQEL/9oA+/98/1UAgwFL/+IA7QCX/0wANgAcAB4AlQDQ/3QA/v9HAIQAXQAXAdv/dgBOABgAEQDX/2kAngAfAM0AKACL/0QAnACZAC0ACwEjAGsAvwC0//j/jAHVALgA3AAcAEgApAA2AeIAXABcAGIACgDG/1wBPQGa/6MBZADO/4EB4ADX/yIAzgCDAbcAzADV/60AZACTAFcBIwE9AMcAaQEt/7sA1QHX/zAAFQFAAUcCNgGx//f/xAAAAAMBaQBpAbABowASAgABNAEvAKkA6P8+AMYBVQAPASIAJACrAMYBgADm/8MAZgDpAA4AKgF3AZEAIwFdAbsBawEpAZj/ev8QAXoA2P/2AUgAVgCtAcz/c/9bALEAp/9CAKwAKwB9AZ4AYP9PAEcBIQGKAHQBaP7P/xMBd//X/qsAtQFT/9//FAF1AMz/SAHv/8//GwFMAAoA9ACm/9n/u/6/AOIA3v5uAM3/av/R/78Aq/9l/icA7QDB/QYAQgAsAG0AeP9/AKgANf+A/5v/Lv/QAET/zf6MAP3/Gv73/90Agf8fAI8A2/5q/yr/Cf8pAOz+TwCVATsAQQCHAff/X/7lAPH/ov+DAAUADABB/yYAXQBZ//T/MQGF/qH/HgHI/sL+OwB0AMT+NQBqAQgAi/9TAFn/Zv8KAI7/sf87AID/Xv/M/3n/df5OAEz/H//0/wMAuAAa/7MAXwBq/5IAQ/+KABQAQ/9mAK4ARQDE/5oBHv4GAF8BHf8D/wcAaf8x/xYBuv4cABcAiQBb/6D/2v96//j+/v87ANT+EADGAOv/2/2PAEIA6f3SAQwAbf6gAPr+Pf8i/1T/1wHH/z3/EwCRABUA//5eAM//vP6KAD8Adf+d/yT/HgAJ/r4A6QCD/Xn/GgA5/7r/9P4RADwA0v/J/47/2gCx/7D/4wBO/9f+Hv9N/3n/dv5oAJMAjv5sAKP+jwA/ADX+4wD4/CX/jwDH/kYAB//BAJD+2f9IAFL+r/+f/yr+/f1+/1r/Ef8o/w8A0/8QAWoAoP9j/+H+IwBe/7z/JAGnAAj/s/9UAJj+y//x/4H/RP4yAID/jP6Z//3/AwDs/rAA0QD1/tv/+f8HAIMAmf9i/0f/Nf/H/yj/egBZAIr/HADk/oX/GwAfAUUAaf5cAH8Aj//dAF3/R/9eAIv/AgD7APz/OP9q/kcA2/4s/1oBG//M/+T/pwH//1UAiAFw//AAt/+LAZj/VACCAYr+cAAE/3kB5gD4/h8BNwGL/zD/BQAtAB0AJACxAKQAsQBYAbL/mgDTAeH+7v/XADgAigDd/90AvP9JAAsCXwBKAH4A5gABAHX/TgHSAHr/qQHNAEUBkAFrAHQAlf/HAIL+eAC3AOD/IwEVAZEBb/9sAF3/DAGXAJr/hQBUAKn/PgEMAQ0AWAHW/5EBpAD7ANf/o/+1AML/ygB/ABUBbQD8AHoAiADm/1YAb/+9/xsAigAUAbYAnABZ/9kAFABOAM7/RAGV/1oASwHs/nQAuQAtAGv/0/8PAPL+AAFhAAgA6wHR/yz/Ev/6ACMAjv4VAXv/Sf8BAJb/zwAv/2IBUQDD/3cA7QDY/vD+ugAk/9oAwgB//1cAMADQ/zMAKAAZADgA3f+9/6n/2v8EAfX/tf+9/xEB/f/G/o4AgACm/1z/pf94AAsBrP9I/yAAo/8gAGr/g/+X/zQAlP+4/nUAxf+A/7f/Fv+yALT/GQAxAOn9dgFl/zf/TAB3/qYA+v5CABQAif80Ae3/4gDIAPX/9v8I/zEAr/88/4b/4v8UAGQAWwCu/+UAR/9XACz/bf94AJ//xv+c/pcAsv+i/14AqQD0/+//UgCc/7P/Df9W//f/g/+uAAQAtf6kAHgArv8VARL/fABwAOD+mADj/3b/BwFf/7D/RwG4/7EAhQBp/1P/0P+OAMb/LgD2ALP/VQCpAOz/DgA4AN7/v/9o/+r/WQAIAFz/+QCs/07/vQAE/n7/6AB7/vb/HQGf/1YA2P55AOMAT/5QAVgAo/6GAFcAcv8MAF0BjAAl/20Am/+v/7UAkP+UAJj/XwBtAPP/pf+j/2MAnv+w/yUA3v/y/qAA8gAk/zT/QgE+AGb+nwC3/yIAhf8V/zkC5f21/zgCXv2SAMYB9/4r/2ABHwDv/kAAKQHA/4H/hf8OACsAVv/kAEf/8f8oAMv/bACQAC4A6v9AAM8AiwCs/tT/iACP/zX/KAE+AbD/eABnAJr/kf+lAFH/aADh/iwBAwD//k8BYP/HAC8A5f86AWr/4P77AEr/tgAnABz/NAFk/mYAjf+JAOIA//6mADb/FgAMAXf/iP96AMgASf88AEACGP82AGEAo/+lAJwAmP/Z/tn+XAE3/7j/HQJ2ACEAeP+hAIb/TwDb/1QAfP9GABoBnv5eAKn/2f/u/+/+VwGhABf+MwC2AO7/Pf8gAGQA3/9PADD/iP8tAVkAqf40/xEAaQDd/gEAiADp/wH/Y/9zAIT/ZQFw/pb/7v8k/zb/zP6KAFn+a/+w/if/lgCsAFL+CgGvACb+vf8dAOD+m/75/0T+IQAaAPX+u/5FAXP/Fv+hAP/+DADd/Z//Vv/2/mUAkQBK/7QANgGX/nL/aABoALv9q/8GAUz/T/83ANkAKf/F/4IAd//4/xMBvf6z/84AVv9QADz/cACvAEn+ZgHZ/x8A5wCw/moAZwAx/3z/of+6ADz/AgDlAR8AVgHL/6//x/9ZAYj/bf6bAJkAKgBDABkCfAAoAcsAnf/5ALkAYgD9/vf/6wAsABUAZgDQAAAAFgBhAV//o/9xAHr/tv81AJkAeQDr/zgBigATAPD/jP+SAK//l/9xAFYAuv+jAAQAeP8rAQcBY/87ANQA//+UAML/lv8UAAoBRAATAAYBOf9s/0cAhv+1/1MALQA7/48AZgDs/8r/bP/fALb+DACSAMr+RAA5/xMBVQAB/5MAxP7E/+j/Kf/q/84BtP8B/4QA2f/V/UgCAwCg//cBpP6tADf/hf5LAhb/U/3OAQUB1/7n/mYBLf9v/1kAef4LAV4Aaf/G/1IAEACjAGz/Yv9WAcL/6P95AAsAcf9oANH/kv77AYcAC/9YAUT/aAFuADP/HgDp/5j/4f78AHsAtf9rALH/oAA4AZ//lf/U/9AA/P5p/6UApgA1/xf/zwBDAE8AE/+dALAAHABU/wYArgBx/1UACABhAaUA7/4DAWP/awAUAPT/GwGC/+gA1v8eAHoApP+DANgAov9EAEYAi/83AJD/8f/1//r+UgAJ//n/Af+uAE4Aa/4WAa0A0f/A/lkAVgD+//j/zv+9AOIA3/4g/1wAnf/z/90BUQGR/7//lgEr/939IgEqAfz/DAGCABAAi//B/5AAlv/WAGMAdv9VAh7/tv9O/yD/BwC7/u4AUgGmANP/8/+SAGv/4f70/4n/6v8ZAK7/2P9SAIsApACqAMj/TwGG/0L/hAD4/l8AgQCMAAwAkQHMAGX/MAERAJj/EgDV/2EA9f/u/yMAbwAYAbr/6//iAXsAf//n/x0AIf8Y/5j/uABqAAgAAQJ7/0r/sv/b/4v/7f+ZAb/+LQAaAT//egAlASn/VQBmAFX/2QBwAIsAjv9p/5sARwBRALn/3gDwANj/6/+g/9cB3P7O/2QAyv7qAVv+W/9LAE7/xgAc/2//0/9LAK4Aif+qAK/+9/5qAav/SQBRAU8Aqv+d/5EAIADO/u7/8wCz/rL/NgERAMf+Tv8QAC4AZwAA/8z/2f9o/+v/LP/B//z/HQBz/6b+fADBACb/qv59ANX/GQCR/xoA0wDE/nD/nP9y/xQAdv/c/tr/IAC1/0f+gwB7/zcAbQATAOT/PP8nACj+6P0sAfMAEP7RAJEAZwBr/7L/GQCx/qr/1wCk/8T/bgBm/o7/nwANAav/I//xAJz/3v9o/2QBhQAW/8L/yP+QAGL/CQEi/+r+AgET/yQA3P/o/owA8/4g/2wAbABi//7+0AB9AJX/LwAzANIAZgA3/5IACgDMAEr/KACWANv+kQA+AHgAwv+T/1oAFwAYAOEAjv5SAPkALP+8AFz/dwDB/54A0/+x/lABHgC9/2n+UwE+AZ/+gP+a/2cAJQAQ/48AOv8//3ABTP8yAGEBQP/b/zYAY/8mAMD+0v70ACUAR/8TAWYBVgDhACD+DgAvAT/+9P8pAGkAjwBzAMgB9f8iAC4AVQDb/37+IgBoAEkAr/9UAC8B9AD5/wgBDQCjAHH/mf+hAEf+5v+ZAE///v+VAL8AfP/tAJUA4ABrARb/kgDCANj/NACoAR7/GgC5Afr+FgBVATv/Gf8kAFIAkv9CABMBL/9hAO8A2v+JANgAAgDbAMP/If8GACQAbQAnAKIBFwCIAK3/gP9a/2//TAE/AKoARAHBAAj/0v8BAeP/Ef82AGcAUv9HAJ4Ayv/o/9b/bQBPAIv+Of96AO/+dQA7//b/PACL/zwAJ/9bAEkAkf+U/8D/RQF0AGj/h/8g//v/rP+n/5IAkwD9/wH/+f+EAA0AmAAwAM/+uP+BAGP/DP/6/yoA6P69/ygAGQBe/9H/AAD0/V7/8P+D/pkAkACU/+b/6/8DAMv+If/xAM7/zf/j/wMBaf9p/9QAh/7e/2sAXv/Q/pf/PQH9/rP+RgC7/27/PwAn/3H/MQD+/mv/UAD6/xIBQ/5l/68AjACE/kb/uAAL/5L/jAAG/23/tv/PAKT+0P/1ABz/gP/B/4UA5f8cALYATf7m/58AHwA9/9n/ev82AIH/MQBDAEL/+P/0/+7/+/97/xP//P9wAB0A4P9+AFYAs/9s/9X/DQA0/7D+9wAKAJcANgD//wYA1QBNAUYA6P/Z/4QAvv/Z/0oA1P/6/hP/YQB9AKX/+/8dALT/ogAe/2P/9gCG/7f/o//5/zD/2AChAIb+mwA5ASoAsP8TAGYACwAUAOv+fP+0AKcAu/9i/1IAXgC3/x0AQwCb/8/+Zv8PAIn/RwEF/87+cABx/73/XP4jAHoAFf+I/yYAZv+l/nsBxv6J/zMBoQC2/s3/jQCf/Y//rgA2AEYAtgCdAA4AaP8sAJ3/ef8JABMA3P95/zIA+QDI/8//7/8vABQBCP8WAEQAOgBZ/2MAxABEAJL+iwA0AF8AtgDmAGQAfQCMAKz/RwAAAA4A+wCe/wwAYgBQAOIACgCoAJ8ADgB2AFoALABOADQAhP9tAP//qQCWAFwAfgCr/xQAiwC6/3j/7f9OAKsAsQEGAUoBdgC9AC//6/4vALX/AwApAFEAzACHAFMALP9nAIkAKwDA/5UAvAC3//b/fwCV/zQA+gCXAN//5AAcAPL+OABtAQUAtP/rAPcAwf6BAI0BZ/+MAAQBPgB1/4sAGQJy/9P/HQBIAIYAbv9gAe//3v+dADT/jQAFAa7/Iv8iAG8A5/5v/zAASQDa/jX/twARAAH/pgBRAFz/OQCc/8v/bP/a/9QA0/9HAJL/fwA5AYYA2v9SAHgANABhADAAqv9DAMP/Lf+iAUMAzP9uAAz/PgACAC8AkAAMALz/2f8aAG3/XAAcAA4AOQDEAPwA3P+M/67/jv/9/1//hwBIAcYASgBYAKT/mP/Z/5H/+v+//7n/SwC2/2gAWQDwAFoA8v+aABkAGgA/AIz/y//e/0MAlQBWACEAdgDUAEcA9v/k/6z/jf+5/zYBav/C/+ABnP9d/w0BKQHq/xIAAAFX/8//iADw/7r/aAC5AN3/JgAJAbb/1v99ABQAbgCr/7sAfP8q/44A3P+v/4wApgDS/9//zv/g/kf/x/6P/xUA1v/WAKr/X//r/mb/FAB8/2YAbv8xAPn/pf/Q/8v/7f/y/sP/4v+G/5wAMQBN/8j/AgCQ/47/VP/G/+3/jv8OAJ7/cv+t/yH/Lv9i/0//c//O/oL/2f8z/5L/DADE/73/VwB0/3P/a/85/77+Dv8CAZH/dv9xAM//9/+a/y0AYv+R/zoAGv/F/w4AEgCu//T/aQAO/4YAr/8//yUANf/g/3H/4/8pAFn/aP/s/8j/HwCz/7f/LwCB/33/uv8JAH7/HwAOAGAAMACm/4//bf/K/6T/Yv8KALf/Xf9zAMr/2f+Q/2P/tACP/3AAKQDR/wQABgARANL/tAB3AAEAAADFAKMAn//HADIA3f+9//7/9v+TAEUAJgAHADMAcgDP//L/lgDh/zMAHgD//8j/IwC3/8P+7v/u/3X/zP8ZAEAADQDb/xcAbv8dAIj/o/9qANj/d/+a/z0AHQBBAND/t//WAJv/mf8lAPz/EwA/AMoAQQCNABUAqf/f/3D/GQANADwAMQBDANn/xv87AJH/8//f/zUAjf9O/1MAUABiAKH/cwAvAEAATwALAEEAmwCfAN//UABrAD8AswA5AFwAyQDd/5EACADs/0kAx/9TAPb/jABbAPH/YgAqADcAVQD8//7/1v/6/ycAGQAqAOr/5//r//f/xf/E/yEALgAfAEcAUACUAOP/AADU/1H/9f9h////9f+w/0MAzv+v/4z/HwDO/23/F/9R/xwAJf9y/1//n//z/7b/QgCB/wX/Pv8C/z7/OP9Q/0L/G/9C/wj/Yv/0/pn/av8F//D/gP9Q/5r/EgC9/1b/df+I/8L/AQDx//H/BwAKAN7/sv/o/9v/bv/8/1oAAgBtABcAKgD2//H/KwDb/+L//P96/3v/EAC6/2f/rv+R/8T/0P88/8b/FgBZ/+X/IgAZAD0ARwApAP7/pP9nALb/2f/V/z0A1wC3ALwACABpAJEAWwAjAJwAAwDc/73/kv82APb/bADX/5QAvgG3/6kATwCw/3EAmQAoAB0A7gCsAVwABgAGAGIAUwAfANYASQAtAPj/",
+  "expires_at": 1729207811,
+  "transcript": "I'm sorry, but I can't create an audio clip of yelling. Is there anything else I can help you with?"
+}
\ No newline at end of file
diff --git a/libs/langchain-openai/package.json b/libs/langchain-openai/package.json
index 30c53464f710..72962a45ba5e 100644
--- a/libs/langchain-openai/package.json
+++ b/libs/langchain-openai/package.json
@@ -36,7 +36,7 @@
   "license": "MIT",
   "dependencies": {
     "js-tiktoken": "^1.0.12",
-    "openai": "^4.67.2",
+    "openai": "^4.68.0",
     "zod": "^3.22.4",
     "zod-to-json-schema": "^3.22.3"
   },
diff --git a/libs/langchain-openai/src/chat_models.ts b/libs/langchain-openai/src/chat_models.ts
index 728d08eabed0..4a0d438f0ba5 100644
--- a/libs/langchain-openai/src/chat_models.ts
+++ b/libs/langchain-openai/src/chat_models.ts
@@ -174,6 +174,11 @@ function openAIResponseToChatMessage(
           system_fingerprint: rawResponse.system_fingerprint,
         };
       }
+
+      if (message.audio) {
+        additional_kwargs.audio = message.audio;
+      }
+
       return new AIMessage({
         content: message.content || "",
         tool_calls: toolCalls,
@@ -212,6 +217,14 @@ function _convertDeltaToMessageChunk(
   if (includeRawResponse) {
     additional_kwargs.__raw_response = rawResponse;
   }
+
+  if (delta.audio) {
+    additional_kwargs.audio = {
+      ...delta.audio,
+      index: rawResponse.choices[0].index,
+    };
+  }
+
   const response_metadata = { usage: { ...rawResponse.usage } };
   if (role === "user") {
     return new HumanMessageChunk({ content, response_metadata });
@@ -257,9 +270,11 @@ function _convertDeltaToMessageChunk(
 }
 
 // Used in LangSmith, export is important here
-export function _convertMessagesToOpenAIParams(messages: BaseMessage[]) {
+export function _convertMessagesToOpenAIParams(
+  messages: BaseMessage[]
+): OpenAICompletionParam[] {
   // TODO: Function messages do not support array content, fix cast
-  return messages.map((message) => {
+  return messages.flatMap((message) => {
     // eslint-disable-next-line @typescript-eslint/no-explicit-any
     const completionParam: Record<string, any> = {
       role: messageToOpenAIRole(message),
@@ -285,6 +300,21 @@ export function _convertMessagesToOpenAIParams(messages: BaseMessage[]) {
         completionParam.tool_call_id = (message as ToolMessage).tool_call_id;
       }
     }
+
+    if (
+      message.additional_kwargs.audio &&
+      typeof message.additional_kwargs.audio === "object" &&
+      "id" in message.additional_kwargs.audio
+    ) {
+      const audioMessage = {
+        role: "assistant",
+        audio: {
+          id: message.additional_kwargs.audio.id,
+        },
+      };
+      return [completionParam, audioMessage] as OpenAICompletionParam[];
+    }
+
     return completionParam as OpenAICompletionParam;
   });
 }
@@ -372,6 +402,27 @@ export interface ChatOpenAICallOptions
    * @version 0.2.6
    */
   strict?: boolean;
+
+  /**
+   * Output types that you would like the model to generate for this request. Most
+   * models are capable of generating text, which is the default:
+   *
+   * `["text"]`
+   *
+   * The `gpt-4o-audio-preview` model can also be used to
+   * [generate audio](https://platform.openai.com/docs/guides/audio). To request that
+   * this model generate both text and audio responses, you can use:
+   *
+   * `["text", "audio"]`
+   */
+  modalities?: Array<OpenAIClient.Chat.ChatCompletionModality>;
+
+  /**
+   * Parameters for audio output. Required when audio output is requested with
+   * `modalities: ["audio"]`.
+   * [Learn more](https://platform.openai.com/docs/guides/audio).
+   */
+  audio?: OpenAIClient.Chat.ChatCompletionAudioParam;
 }
 
 export interface ChatOpenAIFields
@@ -842,6 +893,80 @@ export interface ChatOpenAIFields
  * </details>
  *
  * <br />
+ *
+ * <details>
+ * <summary><strong>Audio Outputs</strong></summary>
+ *
+ * ```typescript
+ * import { ChatOpenAI } from "@langchain/openai";
+ *
+ * const modelWithAudioOutput = new ChatOpenAI({
+ *   model: "gpt-4o-audio-preview",
+ *   // You may also pass these fields to `.bind` as a call argument.
+ *   modalities: ["text", "audio"], // Specifies that the model should output audio.
+ *   audio: {
+ *     voice: "alloy",
+ *     format: "wav",
+ *   },
+ * });
+ *
+ * const audioOutputResult = await modelWithAudioOutput.invoke("Tell me a joke about cats.");
+ * const castMessageContent = audioOutputResult.content[0] as Record<string, any>;
+ *
+ * console.log({
+ *   ...castMessageContent,
+ *   data: castMessageContent.data.slice(0, 100) // Sliced for brevity
+ * })
+ * ```
+ *
+ * ```txt
+ * {
+ *   id: 'audio_67117718c6008190a3afad3e3054b9b6',
+ *   data: 'UklGRqYwBgBXQVZFZm10IBAAAAABAAEAwF0AAIC7AAACABAATElTVBoAAABJTkZPSVNGVA4AAABMYXZmNTguMjkuMTAwAGRhdGFg',
+ *   expires_at: 1729201448,
+ *   transcript: 'Sure! Why did the cat sit on the computer? Because it wanted to keep an eye on the mouse!'
+ * }
+ * ```
+ * </details>
+ *
+ * <br />
+ *
+ * <details>
+ * <summary><strong>Audio Outputs</strong></summary>
+ *
+ * ```typescript
+ * import { ChatOpenAI } from "@langchain/openai";
+ *
+ * const modelWithAudioOutput = new ChatOpenAI({
+ *   model: "gpt-4o-audio-preview",
+ *   // You may also pass these fields to `.bind` as a call argument.
+ *   modalities: ["text", "audio"], // Specifies that the model should output audio.
+ *   audio: {
+ *     voice: "alloy",
+ *     format: "wav",
+ *   },
+ * });
+ *
+ * const audioOutputResult = await modelWithAudioOutput.invoke("Tell me a joke about cats.");
+ * const castAudioContent = audioOutputResult.additional_kwargs.audio as Record<string, any>;
+ *
+ * console.log({
+ *   ...castAudioContent,
+ *   data: castAudioContent.data.slice(0, 100) // Sliced for brevity
+ * })
+ * ```
+ *
+ * ```txt
+ * {
+ *   id: 'audio_67117718c6008190a3afad3e3054b9b6',
+ *   data: 'UklGRqYwBgBXQVZFZm10IBAAAAABAAEAwF0AAIC7AAACABAATElTVBoAAABJTkZPSVNGVA4AAABMYXZmNTguMjkuMTAwAGRhdGFg',
+ *   expires_at: 1729201448,
+ *   transcript: 'Sure! Why did the cat sit on the computer? Because it wanted to keep an eye on the mouse!'
+ * }
+ * ```
+ * </details>
+ *
+ * <br />
  */
 export class ChatOpenAI<
     CallOptions extends ChatOpenAICallOptions = ChatOpenAICallOptions
@@ -958,6 +1083,10 @@ export class ChatOpenAI<
    */
   supportsStrictToolCalling?: boolean;
 
+  audio?: OpenAIClient.Chat.ChatCompletionAudioParam;
+
+  modalities?: Array<OpenAIClient.Chat.ChatCompletionModality>;
+
   constructor(
     fields?: ChatOpenAIFields,
     /** @deprecated */
@@ -1026,6 +1155,8 @@ export class ChatOpenAI<
     this.stopSequences = this?.stop;
     this.user = fields?.user;
     this.__includeRawResponse = fields?.__includeRawResponse;
+    this.audio = fields?.audio;
+    this.modalities = fields?.modalities;
 
     if (this.azureOpenAIApiKey || this.azureADTokenProvider) {
       if (
@@ -1190,6 +1321,12 @@ export class ChatOpenAI<
       seed: options?.seed,
       ...streamOptionsConfig,
       parallel_tool_calls: options?.parallel_tool_calls,
+      ...(this.audio || options?.audio
+        ? { audio: this.audio || options?.audio }
+        : {}),
+      ...(this.modalities || options?.modalities
+        ? { modalities: this.modalities || options?.modalities }
+        : {}),
       ...this.modelKwargs,
     };
     return params;
@@ -1241,7 +1378,7 @@ export class ChatOpenAI<
     const streamIterable = await this.completionWithRetry(params, options);
     let usage: OpenAIClient.Completions.CompletionUsage | undefined;
     for await (const data of streamIterable) {
-      const choice = data?.choices[0];
+      const choice = data?.choices?.[0];
       if (data.usage) {
         usage = data.usage;
       }
diff --git a/libs/langchain-openai/src/tests/chat_models.int.test.ts b/libs/langchain-openai/src/tests/chat_models.int.test.ts
index 7c3510b3543a..a5bed0811e61 100644
--- a/libs/langchain-openai/src/tests/chat_models.int.test.ts
+++ b/libs/langchain-openai/src/tests/chat_models.int.test.ts
@@ -19,6 +19,7 @@ import {
 import { CallbackManager } from "@langchain/core/callbacks/manager";
 import { NewTokenIndices } from "@langchain/core/callbacks/base";
 import { InMemoryCache } from "@langchain/core/caches";
+import { concat } from "@langchain/core/utils/stream";
 import { ChatOpenAI } from "../chat_models.js";
 
 // Save the original value of the 'LANGCHAIN_CALLBACKS_BACKGROUND' environment variable
@@ -986,3 +987,182 @@ test("Test ChatOpenAI stream method", async () => {
   }
   expect(chunks.length).toEqual(1);
 });
+
+describe("Audio output", () => {
+  test("Audio output", async () => {
+    const model = new ChatOpenAI({
+      maxRetries: 0,
+      model: "gpt-4o-audio-preview",
+      temperature: 0,
+      modalities: ["text", "audio"],
+      audio: {
+        voice: "alloy",
+        format: "wav",
+      },
+    });
+
+    const response = await model.invoke("Make me an audio clip of you yelling");
+    expect(response.additional_kwargs.audio).toBeTruthy();
+    if (!response.additional_kwargs.audio) {
+      throw new Error("Not in additional kwargs");
+    }
+    // console.log(
+    //   "response.additional_kwargs.audio",
+    //   response.additional_kwargs.audio
+    // );
+    expect(Object.keys(response.additional_kwargs.audio).sort()).toEqual([
+      "data",
+      "expires_at",
+      "id",
+      "transcript",
+    ]);
+  });
+
+  test("Audio output can stream", async () => {
+    const model = new ChatOpenAI({
+      maxRetries: 0,
+      model: "gpt-4o-audio-preview",
+      temperature: 0,
+      modalities: ["text", "audio"],
+      audio: {
+        voice: "alloy",
+        format: "pcm16",
+      },
+    });
+
+    const stream = await model.stream("Make me an audio clip of you yelling");
+    let finalMsg: AIMessageChunk | undefined;
+    for await (const chunk of stream) {
+      finalMsg = finalMsg ? concat(finalMsg, chunk) : chunk;
+    }
+    if (!finalMsg) {
+      throw new Error("No final message found");
+    }
+
+    expect(finalMsg.additional_kwargs.audio).toBeTruthy();
+    if (!finalMsg.additional_kwargs.audio) {
+      throw new Error("Not in additional kwargs");
+    }
+    // console.log(
+    //   "response.additional_kwargs.audio",
+    //   finalMsg.additional_kwargs.audio
+    // );
+    expect(Object.keys(finalMsg.additional_kwargs.audio).sort()).toEqual([
+      "data",
+      "expires_at",
+      "id",
+      "index",
+      "transcript",
+    ]);
+  });
+
+  test("Can bind audio output args", async () => {
+    const model = new ChatOpenAI({
+      maxRetries: 0,
+      model: "gpt-4o-audio-preview",
+      temperature: 0,
+    }).bind({
+      modalities: ["text", "audio"],
+      audio: {
+        voice: "alloy",
+        format: "wav",
+      },
+    });
+
+    const response = await model.invoke("Make me an audio clip of you yelling");
+    expect(response.additional_kwargs.audio).toBeTruthy();
+    if (!response.additional_kwargs.audio) {
+      throw new Error("Not in additional kwargs");
+    }
+    expect(Object.keys(response.additional_kwargs.audio).sort()).toEqual([
+      "data",
+      "expires_at",
+      "id",
+      "transcript",
+    ]);
+  });
+
+  test("Audio output in chat history", async () => {
+    const model = new ChatOpenAI({
+      model: "gpt-4o-audio-preview",
+      temperature: 0,
+      modalities: ["text", "audio"],
+      audio: {
+        voice: "alloy",
+        format: "wav",
+      },
+      maxRetries: 0,
+    });
+
+    const input = [
+      {
+        role: "user",
+        content: "Make me an audio clip of you yelling",
+      },
+    ];
+
+    const response = await model.invoke(input);
+    expect(response.additional_kwargs.audio).toBeTruthy();
+    expect(
+      (response.additional_kwargs.audio as Record<string, any>).transcript
+        .length
+    ).toBeGreaterThan(1);
+    // console.log("response", (response.additional_kwargs.audio as any).transcript);
+    const response2 = await model.invoke([
+      ...input,
+      response,
+      {
+        role: "user",
+        content: "What did you just say?",
+      },
+    ]);
+    // console.log("response2", (response2.additional_kwargs.audio as any).transcript);
+    expect(response2.additional_kwargs.audio).toBeTruthy();
+    expect(
+      (response2.additional_kwargs.audio as Record<string, any>).transcript
+        .length
+    ).toBeGreaterThan(1);
+  });
+
+  test("Users can pass audio as inputs", async () => {
+    const model = new ChatOpenAI({
+      maxRetries: 0,
+      model: "gpt-4o-audio-preview",
+      temperature: 0,
+      modalities: ["text", "audio"],
+      audio: {
+        voice: "alloy",
+        format: "wav",
+      },
+    });
+
+    const response = await model.invoke("Make me an audio clip of you yelling");
+    // console.log("response", (response.additional_kwargs.audio as any).transcript);
+    expect(response.additional_kwargs.audio).toBeTruthy();
+    expect(
+      (response.additional_kwargs.audio as Record<string, any>).transcript
+        .length
+    ).toBeGreaterThan(1);
+
+    const userInput = {
+      type: "input_audio",
+      input_audio: {
+        data: (response.additional_kwargs.audio as any).data,
+        format: "wav",
+      },
+    };
+
+    const userInputRes = await model.invoke([
+      new HumanMessage({
+        content: [userInput],
+      }),
+    ]);
+    // console.log("userInputRes.content", userInputRes.content);
+    // console.log("userInputRes.additional_kwargs.audio", userInputRes.additional_kwargs.audio);
+    expect(userInputRes.additional_kwargs.audio).toBeTruthy();
+    expect(
+      (userInputRes.additional_kwargs.audio as Record<string, any>).transcript
+        .length
+    ).toBeGreaterThan(1);
+  });
+});
diff --git a/libs/langchain-openai/src/types.ts b/libs/langchain-openai/src/types.ts
index 5f5ca73809a5..1eb449443791 100644
--- a/libs/langchain-openai/src/types.ts
+++ b/libs/langchain-openai/src/types.ts
@@ -167,6 +167,27 @@ export interface OpenAIChatInput extends OpenAIBaseInput {
    * If `undefined` the `strict` argument will not be passed to OpenAI.
    */
   supportsStrictToolCalling?: boolean;
+
+  /**
+   * Output types that you would like the model to generate for this request. Most
+   * models are capable of generating text, which is the default:
+   *
+   * `["text"]`
+   *
+   * The `gpt-4o-audio-preview` model can also be used to
+   * [generate audio](https://platform.openai.com/docs/guides/audio). To request that
+   * this model generate both text and audio responses, you can use:
+   *
+   * `["text", "audio"]`
+   */
+  modalities?: Array<OpenAIClient.Chat.ChatCompletionModality>;
+
+  /**
+   * Parameters for audio output. Required when audio output is requested with
+   * `modalities: ["audio"]`.
+   * [Learn more](https://platform.openai.com/docs/guides/audio).
+   */
+  audio?: OpenAIClient.Chat.ChatCompletionAudioParam;
 }
 
 export declare interface AzureOpenAIInput {
diff --git a/yarn.lock b/yarn.lock
index fc0c198bcc6b..16478c17c332 100644
--- a/yarn.lock
+++ b/yarn.lock
@@ -12591,7 +12591,7 @@ __metadata:
     jest: ^29.5.0
     jest-environment-node: ^29.6.4
     js-tiktoken: ^1.0.12
-    openai: ^4.67.2
+    openai: ^4.68.0
     prettier: ^2.8.3
     release-it: ^17.6.0
     rimraf: ^5.0.1
@@ -35571,9 +35571,9 @@ __metadata:
   languageName: node
   linkType: hard
 
-"openai@npm:^4.67.2":
-  version: 4.67.2
-  resolution: "openai@npm:4.67.2"
+"openai@npm:^4.68.0":
+  version: 4.68.0
+  resolution: "openai@npm:4.68.0"
   dependencies:
     "@types/node": ^18.11.18
     "@types/node-fetch": ^2.6.4
@@ -35589,7 +35589,7 @@ __metadata:
       optional: true
   bin:
     openai: bin/cli
-  checksum: 8c83e2632f2c51fea0f9b059026239a46ad171feaedd1456019481136defd468e828b0b091c53da3ebb65da37c4bb76455142c64ea9bc664124c1a341f7f2b78
+  checksum: 2866e54ac1b34e074055dde7cc809bcc33d1172f0ab289dacd54ced04a62ab3c2b9f584fdb84ece981edc5c30939497af4e91fe33646f71d5c6ced5d7106a797
   languageName: node
   linkType: hard
 

From 6f9e25f8aa837d80f18d4acecd745dff96e0060a Mon Sep 17 00:00:00 2001
From: Brace Sproul <braceasproul@gmail.com>
Date: Fri, 18 Oct 2024 10:47:43 -0700
Subject: [PATCH 328/344] feat(openai): Release 0.3.11 (#7021)

---
 libs/langchain-openai/package.json | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/libs/langchain-openai/package.json b/libs/langchain-openai/package.json
index 72962a45ba5e..82012d7d9e4f 100644
--- a/libs/langchain-openai/package.json
+++ b/libs/langchain-openai/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/openai",
-  "version": "0.3.10",
+  "version": "0.3.11",
   "description": "OpenAI integrations for LangChain.js",
   "type": "module",
   "engines": {

From 9375127e9d8d3b4e1fb6f83e1ce53909db494119 Mon Sep 17 00:00:00 2001
From: Brace Sproul <braceasproul@gmail.com>
Date: Fri, 18 Oct 2024 14:46:45 -0700
Subject: [PATCH 329/344] fix(docs): Update API ref URL to point to v3 (#7023)

---
 docs/core_docs/docusaurus.config.js | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/core_docs/docusaurus.config.js b/docs/core_docs/docusaurus.config.js
index 2f718c9f818c..cc1702a0b6d7 100644
--- a/docs/core_docs/docusaurus.config.js
+++ b/docs/core_docs/docusaurus.config.js
@@ -165,7 +165,7 @@ const config = {
             label: "Integrations",
           },
           {
-            href: "https://v02.api.js.langchain.com",
+            href: "https://v03.api.js.langchain.com",
             label: "API Reference",
             position: "left",
           },

From 6b811152d1d27076d4aa93a5ef1c3247c3435837 Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Sat, 19 Oct 2024 14:55:48 -0700
Subject: [PATCH 330/344] docs: Update LlamaCPP install instructions (#7029)

---
 docs/core_docs/docs/integrations/chat/llama_cpp.mdx           | 4 ++--
 docs/core_docs/docs/integrations/llms/llama_cpp.mdx           | 4 ++--
 docs/core_docs/docs/integrations/text_embedding/llama_cpp.mdx | 4 ++--
 3 files changed, 6 insertions(+), 6 deletions(-)

diff --git a/docs/core_docs/docs/integrations/chat/llama_cpp.mdx b/docs/core_docs/docs/integrations/chat/llama_cpp.mdx
index f68a709fb8e4..cd71225ef640 100644
--- a/docs/core_docs/docs/integrations/chat/llama_cpp.mdx
+++ b/docs/core_docs/docs/integrations/chat/llama_cpp.mdx
@@ -12,14 +12,14 @@ This module is based on the [node-llama-cpp](https://github.com/withcatai/node-l
 
 ## Setup
 
-You'll need to install the [node-llama-cpp](https://github.com/withcatai/node-llama-cpp) module to communicate with your local model.
+You'll need to install major version `2` of the [node-llama-cpp](https://github.com/withcatai/node-llama-cpp) module to communicate with your local model.
 
 import IntegrationInstallTooltip from "@mdx_components/integration_install_tooltip.mdx";
 
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install -S node-llama-cpp @langchain/community @langchain/core
+npm install -S node-llama-cpp@2 @langchain/community @langchain/core
 ```
 
 You will also need a local Llama 2 model (or a model supported by [node-llama-cpp](https://github.com/withcatai/node-llama-cpp)). You will need to pass the path to this model to the LlamaCpp module as a part of the parameters (see example).
diff --git a/docs/core_docs/docs/integrations/llms/llama_cpp.mdx b/docs/core_docs/docs/integrations/llms/llama_cpp.mdx
index 98371877d8a4..fe0673b79207 100644
--- a/docs/core_docs/docs/integrations/llms/llama_cpp.mdx
+++ b/docs/core_docs/docs/integrations/llms/llama_cpp.mdx
@@ -12,10 +12,10 @@ This module is based on the [node-llama-cpp](https://github.com/withcatai/node-l
 
 ## Setup
 
-You'll need to install the [node-llama-cpp](https://github.com/withcatai/node-llama-cpp) module to communicate with your local model.
+You'll need to install major version `2` of the [node-llama-cpp](https://github.com/withcatai/node-llama-cpp) module to communicate with your local model.
 
 ```bash npm2yarn
-npm install -S node-llama-cpp
+npm install -S node-llama-cpp@2
 ```
 
 import IntegrationInstallTooltip from "@mdx_components/integration_install_tooltip.mdx";
diff --git a/docs/core_docs/docs/integrations/text_embedding/llama_cpp.mdx b/docs/core_docs/docs/integrations/text_embedding/llama_cpp.mdx
index 824db38cd589..59349a1e88bc 100644
--- a/docs/core_docs/docs/integrations/text_embedding/llama_cpp.mdx
+++ b/docs/core_docs/docs/integrations/text_embedding/llama_cpp.mdx
@@ -12,10 +12,10 @@ This module is based on the [node-llama-cpp](https://github.com/withcatai/node-l
 
 ## Setup
 
-You'll need to install the [node-llama-cpp](https://github.com/withcatai/node-llama-cpp) module to communicate with your local model.
+You'll need to install major version `2` of the [node-llama-cpp](https://github.com/withcatai/node-llama-cpp) module to communicate with your local model.
 
 ```bash npm2yarn
-npm install -S node-llama-cpp
+npm install -S node-llama-cpp@2
 ```
 
 import IntegrationInstallTooltip from "@mdx_components/integration_install_tooltip.mdx";

From b4f1fe67e91a9390800c037166c969677356357b Mon Sep 17 00:00:00 2001
From: Hemanth HM <hemanth.hm@gmail.com>
Date: Sun, 20 Oct 2024 00:48:47 -0700
Subject: [PATCH 331/344] fix(community): AILanguageModel interface (#7025)

Co-authored-by: jacoblee93 <jacoblee93@gmail.com>
---
 .../src/experimental/llms/chrome_ai.ts        | 93 ++++++++++++++++---
 1 file changed, 81 insertions(+), 12 deletions(-)

diff --git a/libs/langchain-community/src/experimental/llms/chrome_ai.ts b/libs/langchain-community/src/experimental/llms/chrome_ai.ts
index 618a8b6ecfbc..c41ba13121a6 100644
--- a/libs/langchain-community/src/experimental/llms/chrome_ai.ts
+++ b/libs/langchain-community/src/experimental/llms/chrome_ai.ts
@@ -5,25 +5,94 @@ import { GenerationChunk } from "@langchain/core/outputs";
 import { IterableReadableStream } from "@langchain/core/utils/stream";
 import { BaseLLMParams, LLM } from "@langchain/core/language_models/llms";
 
-export interface AI {
-  canCreateTextSession(): Promise<AIModelAvailability>;
-  createTextSession(options?: AITextSessionOptions): Promise<AITextSession>;
-  defaultTextSessionOptions(): Promise<AITextSessionOptions>;
+export interface AILanguageModelFactory {
+  create(options?: AILanguageModelCreateOptions): Promise<AILanguageModel>;
+  capabilities(): Promise<AILanguageModelCapabilities>;
 }
 
-export interface AITextSession {
-  prompt(input: string): Promise<string>;
-  promptStreaming(input: string): ReadableStream;
+export interface AILanguageModel extends EventTarget {
+  prompt(
+    input: AILanguageModelPromptInput,
+    options?: AILanguageModelPromptOptions
+  ): Promise<string>;
+  promptStreaming(
+    input: AILanguageModelPromptInput,
+    options?: AILanguageModelPromptOptions
+  ): ReadableStream;
+
+  countPromptTokens(
+    input: AILanguageModelPromptInput,
+    options?: AILanguageModelPromptOptions
+  ): Promise<number>;
+
+  get maxTokens(): number;
+  get tokensSoFar(): number;
+  get tokensLeft(): number;
+
+  get topK(): number;
+  get temperature(): number;
+
+  oncontextoverflow: (event: Event) => void;
+
+  clone(options?: AILanguageModelCloneOptions): Promise<AILanguageModel>;
   destroy(): void;
-  clone(): AITextSession;
 }
 
-export interface AITextSessionOptions {
+interface AILanguageModelCapabilities {
+  readonly available: AICapabilityAvailability;
+  languageAvailable(languageTag: string): AICapabilityAvailability;
+
+  get defaultTopK(): number | undefined;
+  get maxTopK(): number | undefined;
+  get defaultTemperature(): number | undefined;
+  get maxTemperature(): number | undefined;
+}
+
+interface AILanguageModelCreateOptions {
+  signal?: AbortSignal;
+  monitor?: AICreateMonitorCallback;
+  systemPrompt?: string;
+  initialPrompts?: AILanguageModelInitialPrompt[];
   topK: number;
   temperature: number;
 }
 
-export type AIModelAvailability = "readily" | "after-download" | "no";
+export interface AILanguageModelInitialPrompt {
+  role: AILanguageModelInitialPromptRole;
+  content: string;
+}
+
+export interface AILanguageModelPrompt {
+  role: AILanguageModelPromptRole;
+  content: string;
+}
+
+export interface AILanguageModelPromptOptions {
+  signal?: AbortSignal;
+}
+
+export interface AILanguageModelCloneOptions {
+  signal?: AbortSignal;
+}
+
+export type AILanguageModelPromptInput =
+  | string
+  | AILanguageModelPrompt
+  | AILanguageModelPrompt[];
+
+enum AILanguageModelInitialPromptRole {
+  "system",
+  "user",
+  "assistant",
+}
+
+enum AILanguageModelPromptRole {
+  "user",
+  "assistant",
+}
+
+export type AICapabilityAvailability = "yes" | "no";
+export type AICreateMonitorCallback = () => void;
 
 export interface ChromeAIInputs extends BaseLLMParams {
   topK?: number;
@@ -93,14 +162,14 @@ export class ChromeAI extends LLM<ChromeAICallOptions> {
         `Could not initialize ChromeAI instance. Make sure you are running a version of Chrome with the proper experimental flags enabled.\n\nError message: ${e.message}`
       );
     }
-    const { available } = await aiInstance.assistant.capabilities();
+    const { available } = await aiInstance.languageModel.capabilities();
     if (available === "no") {
       throw new Error("The AI model is not available.");
     } else if (available === "after-download") {
       throw new Error("The AI model is not yet downloaded.");
     }
 
-    const session = await aiInstance.assistant.create({
+    const session = await aiInstance.languageModel.create({
       systemPrompt: this.systemPrompt,
       topK: this.topK,
       temperature: this.temperature,

From 0b4f9c301ff1d98159dce89978c686842cad78b6 Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Sun, 20 Oct 2024 07:25:43 -0700
Subject: [PATCH 332/344] chore(community): Release 0.3.7 (#7030)

---
 libs/langchain-community/package.json | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/libs/langchain-community/package.json b/libs/langchain-community/package.json
index e7c3421dd9c3..158b27368022 100644
--- a/libs/langchain-community/package.json
+++ b/libs/langchain-community/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/community",
-  "version": "0.3.6",
+  "version": "0.3.7",
   "description": "Third-party integrations for LangChain.js",
   "type": "module",
   "engines": {

From e0b93c0ea9fd310422ca0cbba05fab9bafa59d22 Mon Sep 17 00:00:00 2001
From: Jacob Lee <jacoblee93@gmail.com>
Date: Mon, 21 Oct 2024 11:09:52 -0700
Subject: [PATCH 333/344] chore(langchain): Release 0.3.3 (#7039)

---
 langchain/package.json | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/langchain/package.json b/langchain/package.json
index e885663908a0..db95724a4bf4 100644
--- a/langchain/package.json
+++ b/langchain/package.json
@@ -1,6 +1,6 @@
 {
   "name": "langchain",
-  "version": "0.3.2",
+  "version": "0.3.3",
   "description": "Typescript bindings for langchain",
   "type": "module",
   "engines": {

From 196a09f41ff6b808a48382b26fb3532a01ba6cd2 Mon Sep 17 00:00:00 2001
From: Ashtian <ashtian.delacruz@mail.utoronto.ca>
Date: Sun, 3 Nov 2024 08:55:21 -0500
Subject: [PATCH 334/344] Added support for new HTTPClient feature in v1.1.0

---
 libs/langchain-mistralai/src/chat_models.ts | 1 +
 1 file changed, 1 insertion(+)

diff --git a/libs/langchain-mistralai/src/chat_models.ts b/libs/langchain-mistralai/src/chat_models.ts
index 5c2cb2cf9faa..7b18f6433482 100644
--- a/libs/langchain-mistralai/src/chat_models.ts
+++ b/libs/langchain-mistralai/src/chat_models.ts
@@ -922,6 +922,7 @@ export class ChatMistralAI<
     this.safePrompt = fields?.safePrompt ?? this.safePrompt;
     this.randomSeed = fields?.seed ?? fields?.randomSeed ?? this.seed;
     this.seed = this.randomSeed;
+    this.httpClient = fields?.httpClient;
     this.modelName = fields?.model ?? fields?.modelName ?? this.model;
     this.model = this.modelName;
     this.streamUsage = fields?.streamUsage ?? this.streamUsage;

From 0fcdf2add6574efd197b77717a1bb955c727d899 Mon Sep 17 00:00:00 2001
From: CarterMorris <carter.morris@mail.utoronto.ca>
Date: Sun, 10 Nov 2024 18:56:47 -0500
Subject: [PATCH 335/344] Removed deprecated checks from mistral chat models
 integration test

---
 .../src/tests/chat_models.int.test.ts         | 19 +++++--------------
 1 file changed, 5 insertions(+), 14 deletions(-)

diff --git a/libs/langchain-mistralai/src/tests/chat_models.int.test.ts b/libs/langchain-mistralai/src/tests/chat_models.int.test.ts
index bcff1c08f91c..b0dda9e92513 100644
--- a/libs/langchain-mistralai/src/tests/chat_models.int.test.ts
+++ b/libs/langchain-mistralai/src/tests/chat_models.int.test.ts
@@ -595,27 +595,18 @@ describe("withStructuredOutput", () => {
       throw new Error("raw not in result");
     }
     const { raw } = result as { raw: AIMessage };
-    expect(raw.additional_kwargs.tool_calls?.length).toBeGreaterThan(0);
-    expect(raw.additional_kwargs.tool_calls?.[0].function.name).toBe(
+    expect(raw.tool_calls?.length).toBeGreaterThan(0);
+    expect(raw.tool_calls?.[0].name).toBe(
       "calculator"
     );
     expect(
-      "operation" in
-        JSON.parse(
-          raw.additional_kwargs.tool_calls?.[0].function.arguments ?? ""
-        )
+      "operation" in (raw.tool_calls?.[0]?.args ?? {})
     ).toBe(true);
     expect(
-      "number1" in
-        JSON.parse(
-          raw.additional_kwargs.tool_calls?.[0].function.arguments ?? ""
-        )
+      "number1" in (raw.tool_calls?.[0]?.args ?? {})
     ).toBe(true);
     expect(
-      "number2" in
-        JSON.parse(
-          raw.additional_kwargs.tool_calls?.[0].function.arguments ?? ""
-        )
+      "number2" in (raw.tool_calls?.[0]?.args ?? {})
     ).toBe(true);
   });
 });

From 61ca3961bdc661f48d5e2c0ed58a3f3912d38854 Mon Sep 17 00:00:00 2001
From: BaNg-W <bang344251871@gmail.com>
Date: Sun, 10 Nov 2024 22:26:58 -0500
Subject: [PATCH 336/344] import error resolution

---
 libs/langchain-mistralai/src/chat_models.ts |  1 -
 yarn.lock                                   | 63 +--------------------
 2 files changed, 1 insertion(+), 63 deletions(-)

diff --git a/libs/langchain-mistralai/src/chat_models.ts b/libs/langchain-mistralai/src/chat_models.ts
index 7b18f6433482..709a1137d5b5 100644
--- a/libs/langchain-mistralai/src/chat_models.ts
+++ b/libs/langchain-mistralai/src/chat_models.ts
@@ -36,7 +36,6 @@ import {
 import type {
   BaseLanguageModelInput,
   BaseLanguageModelCallOptions,
-  StructuredOutputMethodParams,
   StructuredOutputMethodOptions,
   FunctionDefinition,
 } from "@langchain/core/language_models/base";
diff --git a/yarn.lock b/yarn.lock
index 16478c17c332..3b831f4f004f 100644
--- a/yarn.lock
+++ b/yarn.lock
@@ -12328,68 +12328,7 @@ __metadata:
   languageName: node
   linkType: hard
 
-"@langchain/langgraph@npm:^0.0.28":
-  version: 0.0.28
-  resolution: "@langchain/langgraph@npm:0.0.28"
-  dependencies:
-    "@langchain/core": ">=0.2.16 <0.3.0"
-    uuid: ^10.0.0
-    zod: ^3.23.8
-  peerDependencies:
-    better-sqlite3: ^9.5.0
-  peerDependenciesMeta:
-    better-sqlite3:
-      optional: true
-  checksum: 1465791026ccd6eaa13a2f2d03b8fb9f0972a8c23b9da1cfd581074f413ea60ef860de6d704c6a3b49f7425f23d6ba49c23255167ae83ab7d70dc00cc0560ce2
-  languageName: node
-  linkType: hard
-
-"@langchain/langgraph@npm:~0.0.26":
-  version: 0.0.34
-  resolution: "@langchain/langgraph@npm:0.0.34"
-  dependencies:
-    "@langchain/core": ">=0.2.20 <0.3.0"
-    uuid: ^10.0.0
-    zod: ^3.23.8
-  peerDependencies:
-    better-sqlite3: ^9.5.0
-  peerDependenciesMeta:
-    better-sqlite3:
-      optional: true
-  checksum: efa3c6b4eb40fdeb696531fe63f1f8e2b5d23b7adfc9404103cc9265db4aab6caee7de9ba1e01e14f2765d98a8b536bfbc473795543b0314e84c72b3b349a258
-  languageName: node
-  linkType: hard
-
-"@langchain/langgraph@npm:~0.0.31":
-  version: 0.0.31
-  resolution: "@langchain/langgraph@npm:0.0.31"
-  dependencies:
-    "@langchain/core": ">=0.2.18 <0.3.0"
-    uuid: ^10.0.0
-    zod: ^3.23.8
-  peerDependencies:
-    better-sqlite3: ^9.5.0
-  peerDependenciesMeta:
-    better-sqlite3:
-      optional: true
-  checksum: 74c0af490dab5c1f38d426cdeb0530fd300606bd28bb099d27b0ace029a02800a75fcc047f6755d853b485e78728b472170a19173803014dcc54bafe85939d9f
-  languageName: node
-  linkType: hard
-
-"@langchain/mistralai@npm:^0.0.26":
-  version: 0.0.26
-  resolution: "@langchain/mistralai@npm:0.0.26"
-  dependencies:
-    "@langchain/core": ">=0.2.16 <0.3.0"
-    "@mistralai/mistralai": ^1.1.0
-    uuid: ^10.0.0
-    zod: ^3.22.4
-    zod-to-json-schema: ^3.22.4
-  checksum: 97c545994b16166044c96357c211cbaf8d9a2dbcc45a8bfdd1a90089ccd62f7e294aaa9d9fdd23bcea888b1a4eade818e96cf9a6f9c972e05deb2abf7a7fc8fc
-  languageName: node
-  linkType: hard
-
-"@langchain/mistralai@workspace:*, @langchain/mistralai@workspace:libs/langchain-mistralai":
+"@langchain/mistralai@*, @langchain/mistralai@workspace:*, @langchain/mistralai@workspace:libs/langchain-mistralai":
   version: 0.0.0-use.local
   resolution: "@langchain/mistralai@workspace:libs/langchain-mistralai"
   dependencies:

From d185ed7613949f1e2ccadb869ff3d9b8687a16e1 Mon Sep 17 00:00:00 2001
From: CarterMorris <carter.morris@mail.utoronto.ca>
Date: Sun, 10 Nov 2024 23:09:15 -0500
Subject: [PATCH 337/344] Finished removing deprecated
 StructuredOutputMethodParams implementation

---
 libs/langchain-mistralai/src/chat_models.ts | 32 ++++-----------------
 1 file changed, 5 insertions(+), 27 deletions(-)

diff --git a/libs/langchain-mistralai/src/chat_models.ts b/libs/langchain-mistralai/src/chat_models.ts
index 709a1137d5b5..29c22cdefc59 100644
--- a/libs/langchain-mistralai/src/chat_models.ts
+++ b/libs/langchain-mistralai/src/chat_models.ts
@@ -1329,21 +1329,11 @@ export class ChatMistralAI<
         { raw: BaseMessage; parsed: RunOutput }
       > {
     // eslint-disable-next-line @typescript-eslint/no-explicit-any
-    let schema: z.ZodType<RunOutput> | Record<string, any>;
-    let name;
-    let method;
-    let includeRaw;
-    // if (isStructuredOutputMethodParams(outputSchema)) {
-    //   schema = outputSchema.schema;
-    //   name = outputSchema.name;
-    //   method = outputSchema.method;
-    //   includeRaw = outputSchema.includeRaw;
-    // } else {
-      schema = outputSchema;
-      name = config?.name;
-      method = config?.method;
-      includeRaw = config?.includeRaw;
-    // }
+    let schema: z.ZodType<RunOutput> | Record<string, any> = outputSchema;
+    let name = config?.name;
+    let method = config?.method;
+    let includeRaw = config?.includeRaw;
+  
     let llm: Runnable<BaseLanguageModelInput>;
     let outputParser: BaseLLMOutputParser<RunOutput>;
 
@@ -1450,15 +1440,3 @@ function isZodSchema<
   // Check for a characteristic method of Zod schemas
   return typeof (input as z.ZodType<RunOutput>)?.parse === "function";
 }
-
-// function isStructuredOutputMethodParams(
-//   x: unknown
-//   // eslint-disable-next-line @typescript-eslint/no-explicit-any
-// ): x is StructuredOutputMethodParams<Record<string, any>> {
-//   return (
-//     x !== undefined &&
-//     // eslint-disable-next-line @typescript-eslint/no-explicit-any
-//     typeof (x as StructuredOutputMethodParams<Record<string, any>>).schema ===
-//       "object"
-//   );
-// }

From 31f494b2ab94800407e77ba7e2735364cf93bead Mon Sep 17 00:00:00 2001
From: CarterMorris <carter.morris@mail.utoronto.ca>
Date: Mon, 11 Nov 2024 18:39:36 -0500
Subject: [PATCH 338/344] Improved Langchain to Mistral message conversion
 flexibility

Co-authored-by: BaNg-W <BaNg-W@users.noreply.github.com>
---
 libs/langchain-mistralai/src/chat_models.ts   | 66 +++++++++++--------
 .../tests/chat_models.standard.int.test.ts    | 14 ++--
 2 files changed, 46 insertions(+), 34 deletions(-)

diff --git a/libs/langchain-mistralai/src/chat_models.ts b/libs/langchain-mistralai/src/chat_models.ts
index 29c22cdefc59..b98488a86e4a 100644
--- a/libs/langchain-mistralai/src/chat_models.ts
+++ b/libs/langchain-mistralai/src/chat_models.ts
@@ -20,9 +20,10 @@ import {
 } from "@mistralai/mistralai/lib/http.js";
 import { RetryConfig as MistralAIRetryConfig } from "@mistralai/mistralai/lib/retries.js";
 import {
+  BaseMessage,
   MessageType,
-  type BaseMessage,
   MessageContent,
+  MessageContentComplex,
   AIMessage,
   HumanMessage,
   HumanMessageChunk,
@@ -30,7 +31,6 @@ import {
   ToolMessageChunk,
   ChatMessageChunk,
   FunctionMessageChunk,
-  OpenAIToolCall,
   isAIMessage,
 } from "@langchain/core/messages";
 import type {
@@ -248,23 +248,22 @@ function convertMessagesToMistralMessages(
     }
   };
 
-  const getContent = (content: MessageContent, role: MessageType): string | MistralAIContentChunk[] => {
-    const mistralRole = getRole(role);
+  const getContent = (content: MessageContent, type: MessageType): string | MistralAIContentChunk[] => {
 
-    const _generateContentChunk = (complex: any, role: string): MistralAIContentChunk => {
+    const _generateContentChunk = (complex: MessageContentComplex, role: string): MistralAIContentChunk => {
       if (complex.type === "image_url" && role === "user") {
         return {
           type: complex.type,
           imageUrl: complex?.image_url
         };
-      }
+      };
       
       if (complex.type === "text" && (role === "user" || role === "system")) {
         return {
           type: complex.type,
           text: complex?.text
         };
-      }
+      };
 
       throw new Error(
         `ChatMistralAI only supports messages of type MessageContentText for role "human"
@@ -274,17 +273,39 @@ function convertMessagesToMistralMessages(
           2
         )}`
       );
-    }
+    };
 
     if (typeof content === "string") {
       return content;
-    }
-    
+    };
+
     if (Array.isArray(content)) {
-      return content.map((messageContentComplex) => {
-        return _generateContentChunk(messageContentComplex, mistralRole);
+      const mistralRole = getRole(type);
+
+      // Mistral "assistant" and "tool" roles can only support string content
+      if (mistralRole === "assistant" || mistralRole === "tool") {
+        let strContent = "";
+        content.forEach((messageContentComplex) => {
+          // Ignore all non-text complex message types
+          if (messageContentComplex.type === "text") {
+            strContent.concat(strContent, ` ${messageContentComplex.text}`);
+          };
+        });
+        return strContent;
+      };
+
+      // Mistral "system" and "user" roles can support some MistralContentChunks
+      let newContent: MistralAIContentChunk[] = [];
+      content.forEach((messageContentComplex) => {
+        // Mistral content chunks only support type "text" and "image_url"
+        if (messageContentComplex.type === "text" || messageContentComplex.type == "image_url") {
+          newContent.push(
+            _generateContentChunk(messageContentComplex, mistralRole)
+          );
+        };
       });
-    }
+      return newContent;
+    };
     
     throw new Error(
       `ChatMistralAI does not support non text message content for role "ai", "tool", 
@@ -305,24 +326,15 @@ function convertMessagesToMistralMessages(
         }))
         .map(convertLangChainToolCallToOpenAI) as MistralAIToolCall[];
     }
-    if (!message.additional_kwargs.tool_calls?.length) {
-      return undefined;
-    }
-    const toolCalls: Omit<OpenAIToolCall, "index">[] =
-      message.additional_kwargs.tool_calls;
-    return toolCalls?.map((toolCall) => ({
-      id: _convertToolCallIdToMistralCompatible(toolCall.id),
-      type: "function",
-      function: toolCall.function,
-    }));
+    return undefined;
   };
 
   return messages.map((message) => {
     const toolCalls = getTools(message);
-    const content = getContent(message.content, message._getType());
+    const content = getContent(message.content, message.getType());
     if ("tool_call_id" in message && typeof message.tool_call_id === "string") {
       return {
-        role: getRole(message._getType()),
+        role: getRole(message.getType()),
         content,
         name: message.name,
         toolCallId: _convertToolCallIdToMistralCompatible(
@@ -332,14 +344,14 @@ function convertMessagesToMistralMessages(
     }
     else if (isAIMessage(message)) {
       return {
-        role: getRole(message._getType()),
+        role: getRole(message.getType()),
         content,
         toolCalls: toolCalls,
       };
     }
 
     return {
-      role: getRole(message._getType()),
+      role: getRole(message.getType()),
       content,
     };
   }) as MistralAIMessage[];
diff --git a/libs/langchain-mistralai/src/tests/chat_models.standard.int.test.ts b/libs/langchain-mistralai/src/tests/chat_models.standard.int.test.ts
index a17ff1085925..9f7006d75de6 100644
--- a/libs/langchain-mistralai/src/tests/chat_models.standard.int.test.ts
+++ b/libs/langchain-mistralai/src/tests/chat_models.standard.int.test.ts
@@ -24,13 +24,13 @@ class ChatMistralAIStandardIntegrationTests extends ChatModelIntegrationTests<
     });
   }
 
-  async testCacheComplexMessageTypes() {
-    this.skipTestMessage(
-      "testCacheComplexMessageTypes",
-      "ChatMistralAI",
-      "Complex message types not properly implemented"
-    );
-  }
+  // async testCacheComplexMessageTypes() {
+  //   this.skipTestMessage(
+  //     "testCacheComplexMessageTypes",
+  //     "ChatMistralAI",
+  //     "Complex message types not properly implemented"
+  //   );
+  // }
 }
 
 const testClass = new ChatMistralAIStandardIntegrationTests();

From 7efe0c987fb8aff454e68a708c70612156cf2902 Mon Sep 17 00:00:00 2001
From: CarterMorris <carter.morris@mail.utoronto.ca>
Date: Wed, 13 Nov 2024 17:47:34 -0500
Subject: [PATCH 339/344] Removed Mistral retry config support in favour of
 async caller retry logic

---
 libs/langchain-mistralai/src/chat_models.ts | 76 ---------------------
 1 file changed, 76 deletions(-)

diff --git a/libs/langchain-mistralai/src/chat_models.ts b/libs/langchain-mistralai/src/chat_models.ts
index b98488a86e4a..a862e03b51fb 100644
--- a/libs/langchain-mistralai/src/chat_models.ts
+++ b/libs/langchain-mistralai/src/chat_models.ts
@@ -18,7 +18,6 @@ import {
   ResponseHook,
   HTTPClient as MistralAIHTTPClient,
 } from "@mistralai/mistralai/lib/http.js";
-import { RetryConfig as MistralAIRetryConfig } from "@mistralai/mistralai/lib/retries.js";
 import {
   BaseMessage,
   MessageType,
@@ -191,41 +190,6 @@ export interface ChatMistralAIInput
    * Allows users to add custom fetch implementations, hooks, as well as error and response processing.
    */
   httpClient?: MistralAIHTTPClient;
-  /**
-   * The strategy for handling request errors. Either "none" or "backoff".
-   * @default {"none"} 
-   */
-  backoffStrategy?: string;
-  /**
-   * The intial time interval to wait before retrying a failed request, in ms.
-   * Only used when backoffStrategy = "backoff".
-   * @default {500}
-   */
-  backoffInitialInterval?: number;
-  /**
-   * The maximum interval of time to wait before retrying a failed request, in ms.
-   * Only used when backoffStrategy = "backoff".
-   * @default {60000}
-   */
-  backoffMaxInterval?: number;
-  /**
-   * The base to exponentiate by the number of retries attempted. The time interval to wait for the 
-   * next retry is backoffInitialInterval * backoffExponent**number_of_retries, in ms.
-   * Only used when backoffStrategy = "backoff".
-   * @default {1.5}
-   */
-  backoffExponent?: number;
-  /**
-   * The maximum time to retry requests for, after the first request is received by Mistral, in ms.
-   * Only used when backoffStrategy = "backoff".
-   * @default {3600000}
-   */
-  backoffMaxElapsedTime?: number;
-  /**
-   * Whether or not to retry requests that failed due to connection errors.
-   * Only used when backoffStrategy = "backoff".
-   */
-  retryConnectionErrors?: boolean;
 }
 
 function convertMessagesToMistralMessages(
@@ -904,18 +868,6 @@ export class ChatMistralAI<
 
   httpClient?: MistralAIHTTPClient;
 
-  backoffStrategy = "none";
-
-  backoffInitialInterval = 500;
-
-  backoffMaxInterval = 60000;
-
-  backoffExponent = 1.5;
-
-  backoffMaxElapsedTime = 3600000;
-
-  retryConnectionErrors?: boolean;
-
   constructor(fields?: ChatMistralAIInput) {
     super(fields ?? {});
     const apiKey = fields?.apiKey ?? getEnvironmentVariable("MISTRAL_API_KEY");
@@ -941,12 +893,6 @@ export class ChatMistralAI<
     this.requestErrorHooks = fields?.requestErrorHooks ?? this.requestErrorHooks;
     this.responseHooks = fields?.responseHooks ?? this.responseHooks;
     this.httpClient = fields?.httpClient ?? this.httpClient;
-    this.backoffStrategy = fields?.backoffStrategy ?? this.backoffStrategy;
-    this.backoffInitialInterval = fields?.backoffInitialInterval ?? this.backoffInitialInterval;
-    this.backoffMaxInterval = fields?.backoffMaxInterval ?? this.backoffMaxInterval;
-    this.backoffExponent = fields?.backoffExponent ?? this.backoffExponent;
-    this.backoffMaxElapsedTime = fields?.backoffMaxElapsedTime ?? this.backoffMaxElapsedTime;
-    this.retryConnectionErrors = fields?.retryConnectionErrors ?? this.retryConnectionErrors;
     this.addAllHooksToHttpClient();
   }
 
@@ -1032,33 +978,11 @@ export class ChatMistralAI<
   ): Promise<
     MistralAIChatCompletionResponse | AsyncIterable<MistralAIChatCompletionEvent>
   > {
-      /**
-       * Get the Mistral request retry config
-       */
-      const _getRetryConfig = (): MistralAIRetryConfig => {
-        if (this.backoffStrategy === "backoff") {
-          return {
-            strategy: this.backoffStrategy,
-            backoff: {
-              initialInterval: this.backoffInitialInterval,
-              maxInterval: this.backoffMaxInterval,
-              exponent: this.backoffExponent,
-              maxElapsedTime: this.backoffMaxElapsedTime,
-            },
-            retryConnectionErrors: this.retryConnectionErrors
-          };
-        }
-        return { 
-          strategy: "none"
-        };
-      };
-
     const client = new MistralClient({
       apiKey: this.apiKey,
       serverURL: this.serverURL,
       // If httpClient exists, pass it into constructor
       ...( this.httpClient ? {httpClient: this.httpClient} : {}),
-      retryConfig: _getRetryConfig(),
     });
 
     return this.caller.call(async () => {

From 6dbcda2a9e3884d32cdab16c540731f0c10e979e Mon Sep 17 00:00:00 2001
From: CarterMorris <carter.morris@mail.utoronto.ca>
Date: Fri, 15 Nov 2024 00:15:50 -0500
Subject: [PATCH 340/344] Upgraded to Mistral version 1.3.1

---
 libs/langchain-mistralai/package.json       |  2 +-
 libs/langchain-mistralai/src/chat_models.ts | 90 +++++++++++++++------
 libs/langchain-mistralai/src/llms.ts        | 65 +++++++++++----
 libs/langchain-mistralai/src/utils.ts       | 24 ++++++
 yarn.lock                                   | 10 +--
 5 files changed, 145 insertions(+), 46 deletions(-)

diff --git a/libs/langchain-mistralai/package.json b/libs/langchain-mistralai/package.json
index c88d6a147df6..d055c3ce39ef 100644
--- a/libs/langchain-mistralai/package.json
+++ b/libs/langchain-mistralai/package.json
@@ -36,7 +36,7 @@
   "license": "MIT",
   "dependencies": {
     "@langchain/core": ">=0.2.21 <0.3.0",
-    "@mistralai/mistralai": "^1.1.0",
+    "@mistralai/mistralai": "^1.3.1",
     "uuid": "^10.0.0",
     "zod": "^3.23.8",
     "zod-to-json-schema": "^3.22.4"
diff --git a/libs/langchain-mistralai/src/chat_models.ts b/libs/langchain-mistralai/src/chat_models.ts
index a862e03b51fb..7a7086615041 100644
--- a/libs/langchain-mistralai/src/chat_models.ts
+++ b/libs/langchain-mistralai/src/chat_models.ts
@@ -5,7 +5,7 @@ import {
   ChatCompletionRequestToolChoice as MistralAIToolChoice,
   Messages as MistralAIMessage,
 } from "@mistralai/mistralai/models/components/chatcompletionrequest.js";
-import { ContentChunk as MistralAIContentChunk} from "@mistralai/mistralai/models/components/contentchunk.js";
+import { ContentChunk as MistralAIContentChunk } from "@mistralai/mistralai/models/components/contentchunk.js";
 import { Tool as MistralAITool } from "@mistralai/mistralai/models/components/tool.js";
 import { ToolCall as MistralAIToolCall } from "@mistralai/mistralai/models/components/toolcall.js";
 import { ChatCompletionStreamRequest as MistralAIChatCompletionStreamRequest } from "@mistralai/mistralai/models/components/chatcompletionstreamrequest.js";
@@ -72,7 +72,10 @@ import {
 } from "@langchain/core/runnables";
 import { zodToJsonSchema } from "zod-to-json-schema";
 import { ToolCallChunk } from "@langchain/core/messages/tool";
-import { _convertToolCallIdToMistralCompatible } from "./utils.js";
+import { 
+  _convertToolCallIdToMistralCompatible,
+  _mistralContentChunkToMessageContentComplex
+} from "./utils.js";
 
 interface TokenUsage {
   completionTokens?: number;
@@ -172,24 +175,40 @@ export interface ChatMistralAIInput
   seed?: number;
   /**
    * A list of custom hooks that must follow (req: Request) => Awaitable<Request | void>
-   * They are automatically added when a ChatMistralAI instance is created
+   * They are automatically added when a ChatMistralAI instance is created.
    */
   beforeRequestHooks?: BeforeRequestHook[];
   /**
-   * A list of custom hooks that must follow (err: unknown, req: Request) => Awaitable<void>
-   * They are automatically added when a ChatMistralAI instance is created
+   * A list of custom hooks that must follow (err: unknown, req: Request) => Awaitable<void>.
+   * They are automatically added when a ChatMistralAI instance is created.
    */
   requestErrorHooks?: RequestErrorHook[];
   /**
-   * A list of custom hooks that must follow (res: Response, req: Request) => Awaitable<void>
-   * They are automatically added when a ChatMistralAI instance is created
+   * A list of custom hooks that must follow (res: Response, req: Request) => Awaitable<void>.
+   * They are automatically added when a ChatMistralAI instance is created.
    */
   responseHooks?: ResponseHook[];
   /**
-   * Custom HTTP client to manage API requests
+   * Custom HTTP client to manage API requests.
    * Allows users to add custom fetch implementations, hooks, as well as error and response processing.
    */
   httpClient?: MistralAIHTTPClient;
+  /**
+   * Determines how much the model penalizes the repetition of words or phrases. A higher presence
+   * penalty encourages the model to use a wider variety of words and phrases, making the output
+   * more diverse and creative.
+   */
+  presencePenalty?: number;
+  /**
+   * Penalizes the repetition of words based on their frequency in the generated text. A higher
+   * frequency penalty discourages the model from repeating words that have already appeared frequently
+   * in the output, promoting diversity and reducing repetition.
+   */
+  frequencyPenalty?: number;
+  /**
+   * Number of completions to return for each request, input tokens are only billed once.
+   */
+  numCompletions?: number;
 }
 
 function convertMessagesToMistralMessages(
@@ -215,14 +234,14 @@ function convertMessagesToMistralMessages(
   const getContent = (content: MessageContent, type: MessageType): string | MistralAIContentChunk[] => {
 
     const _generateContentChunk = (complex: MessageContentComplex, role: string): MistralAIContentChunk => {
-      if (complex.type === "image_url" && role === "user") {
+      if (complex.type === "image_url" && (role === "user" || role === "assistant")) {
         return {
           type: complex.type,
           imageUrl: complex?.image_url
         };
       };
       
-      if (complex.type === "text" && (role === "user" || role === "system")) {
+      if (complex.type === "text") {
         return {
           type: complex.type,
           text: complex?.text
@@ -230,8 +249,9 @@ function convertMessagesToMistralMessages(
       };
 
       throw new Error(
-        `ChatMistralAI only supports messages of type MessageContentText for role "human"
-          and "system" and MessageContentImageUrl for role "human". Received: ${JSON.stringify(
+        `ChatMistralAI supports messages of type MessageContentText for role "human", "ai", "function"
+          and "system" and MessageContentImageUrl for role "human", "ai", and "function.
+          Received: ${JSON.stringify(
           content,
           null,
           2
@@ -246,19 +266,20 @@ function convertMessagesToMistralMessages(
     if (Array.isArray(content)) {
       const mistralRole = getRole(type);
 
-      // Mistral "assistant" and "tool" roles can only support string content
-      if (mistralRole === "assistant" || mistralRole === "tool") {
+      // Mistral "tool" role can only support string content
+      if (mistralRole === "tool") {
         let strContent = "";
         content.forEach((messageContentComplex) => {
           // Ignore all non-text complex message types
-          if (messageContentComplex.type === "text") {
-            strContent.concat(strContent, ` ${messageContentComplex.text}`);
+          if (messageContentComplex.type === "text" && "text" in messageContentComplex) {
+            strContent + messageContentComplex.text;
           };
         });
         return strContent;
       };
 
-      // Mistral "system" and "user" roles can support some MistralContentChunks
+      // Mistral "assistant" and "user" roles can support Mistral ContentChunks
+      // Mistral "system" role can support Mistral TextChunks
       let newContent: MistralAIContentChunk[] = [];
       content.forEach((messageContentComplex) => {
         // Mistral content chunks only support type "text" and "image_url"
@@ -336,6 +357,7 @@ function mistralAIResponseToChatMessage(
   if ("toolCalls" in message && Array.isArray(message.toolCalls)) {
     rawToolCalls = message.toolCalls;
   }
+  const content = _mistralContentChunkToMessageContentComplex(message.content);
   switch (message.role) {
     case "assistant": {
       const toolCalls = [];
@@ -353,7 +375,7 @@ function mistralAIResponseToChatMessage(
         }
       }
       return new AIMessage({
-        content: message.content ?? "",
+        content,
         tool_calls: toolCalls,
         invalid_tool_calls: invalidToolCalls,
         additional_kwargs: {},
@@ -367,14 +389,14 @@ function mistralAIResponseToChatMessage(
       });
     }
     default:
-      return new HumanMessage(message.content ?? "");
+      return new HumanMessage({ content });
   }
 }
 
 function _convertDeltaToMessageChunk(
   delta: {
-    role?: string | undefined;
-    content?: string | null | undefined;
+    role?: string | null | undefined;
+    content?: string | MistralAIContentChunk[] | null | undefined;
     toolCalls?: MistralAIToolCall[] | null | undefined;
   },
   usage?: MistralAITokenUsage | null
@@ -412,7 +434,8 @@ function _convertDeltaToMessageChunk(
   if (delta.role) {
     role = delta.role;
   }
-  const content = delta.content ?? "";
+  const content = _mistralContentChunkToMessageContentComplex(delta.content);
+
   let additional_kwargs;
   const toolCallChunks: ToolCallChunk[] = [];
   if (rawToolCallChunksWithIndex !== undefined) {
@@ -868,6 +891,12 @@ export class ChatMistralAI<
 
   httpClient?: MistralAIHTTPClient;
 
+  presencePenalty?: number;
+
+  frequencyPenalty?: number;
+
+  numCompletions?: number;
+
   constructor(fields?: ChatMistralAIInput) {
     super(fields ?? {});
     const apiKey = fields?.apiKey ?? getEnvironmentVariable("MISTRAL_API_KEY");
@@ -893,6 +922,9 @@ export class ChatMistralAI<
     this.requestErrorHooks = fields?.requestErrorHooks ?? this.requestErrorHooks;
     this.responseHooks = fields?.responseHooks ?? this.responseHooks;
     this.httpClient = fields?.httpClient ?? this.httpClient;
+    this.presencePenalty = fields?.presencePenalty ?? this.presencePenalty;
+    this.frequencyPenalty = fields?.frequencyPenalty ?? this.frequencyPenalty;
+    this.numCompletions = fields?.numCompletions ?? this.numCompletions;
     this.addAllHooksToHttpClient();
   }
 
@@ -943,6 +975,9 @@ export class ChatMistralAI<
       safePrompt: this.safePrompt,
       toolChoice: tool_choice,
       responseFormat: response_format,
+      presencePenalty: this.presencePenalty,
+      frequencyPenalty: this.frequencyPenalty,
+      n: this.numCompletions,
     };
     return params;
   }
@@ -1076,7 +1111,10 @@ export class ChatMistralAI<
       if (!("message" in part)) {
         throw new Error("No message found in the choice.");
       }
-      const text = part.message?.content ?? "";
+      let text = part.message?.content ?? "";
+      if (Array.isArray(text)) {
+        text = text[0].type === "text" ? text[0].text : "";
+      };
       const generation: ChatGeneration = {
         text,
         message: mistralAIResponseToChatMessage(part, response?.usage),
@@ -1131,9 +1169,13 @@ export class ChatMistralAI<
         // Do not yield a chunk if the message is empty
         continue;
       }
+      let text = delta.content ?? "";
+      if (Array.isArray(text)) {
+        text = text[0].type === "text" ? text[0].text : "";
+      };
       const generationChunk = new ChatGenerationChunk({
         message,
-        text: delta.content ?? "",
+        text,
         generationInfo: newTokenIndices,
       });
       yield generationChunk;
diff --git a/libs/langchain-mistralai/src/llms.ts b/libs/langchain-mistralai/src/llms.ts
index 19e9f7a59440..300d4efb9648 100644
--- a/libs/langchain-mistralai/src/llms.ts
+++ b/libs/langchain-mistralai/src/llms.ts
@@ -7,12 +7,14 @@ import { FIMCompletionStreamRequest as MistralAIFIMCompletionStreamRequest} from
 import { FIMCompletionResponse as MistralAIFIMCompletionResponse } from "@mistralai/mistralai/models/components/fimcompletionresponse.js";
 import { ChatCompletionChoice as MistralAIChatCompletionChoice} from "@mistralai/mistralai/models/components/chatcompletionchoice.js";
 import { CompletionEvent as MistralAIChatCompletionEvent } from "@mistralai/mistralai/models/components/completionevent.js";
+import { CompletionChunk as MistralAICompetionChunk } from "@mistralai/mistralai/models/components/completionchunk.js";
 import { 
   BeforeRequestHook,
   RequestErrorHook,
   ResponseHook,
   HTTPClient as MistralAIHTTPClient,
 } from "@mistralai/mistralai/lib/http.js";
+import { _mistralContentChunkToMessageContentComplex } from "./utils.js";
 import { getEnvironmentVariable } from "@langchain/core/utils/env";
 import { chunkArray } from "@langchain/core/utils/chunk_array";
 import { AsyncCaller } from "@langchain/core/utils/async_caller";
@@ -226,7 +228,11 @@ Either provide one via the "apiKey" field in the constructor, or set the "MISTRA
       prompt,
     };
     const result = await this.completionWithRetry(params, options, false);
-    return result?.choices?.[0].message.content ?? "";
+    let content = result?.choices?.[0].message.content ?? "";
+    if (Array.isArray(content)) {
+      content = content[0].type === "text" ? content[0].text : "";
+    };
+    return content
   }
 
   async _generate(
@@ -244,13 +250,13 @@ Either provide one via the "apiKey" field in the constructor, or set the "MISTRA
         if (this.streaming) {
           const responseData: Array<
             { choices: MistralAIChatCompletionChoice[] } & Partial<
-              Omit<MistralAIFIMCompletionResponse, "choices">
+              Omit<MistralAICompetionChunk, "choices">
             >
           > = [];
           for (let x = 0; x < subPrompts[i].length; x += 1) {
             const choices: MistralAIChatCompletionChoice[] = [];
             let response:
-              | Omit<MistralAIFIMCompletionResponse, "choices" | "usage">
+              | Omit<MistralAICompetionChunk, "choices" | "usage">
               | undefined;
               const stream = await this.completionWithRetry(
               {
@@ -273,22 +279,39 @@ Either provide one via the "apiKey" field in the constructor, or set the "MISTRA
 
               // on all messages, update choice
               for (const part of data.choices) {
+                let content = part.delta.content ?? "";
+                // Convert MistralContentChunk data into a string
+                if (Array.isArray(content)) {
+                  let strContent = ""
+                  for (let contentChunk of content) {
+                    if (contentChunk.type === "text") {
+                      strContent = strContent + contentChunk.text
+                    }
+                    else if (contentChunk.type === "image_url") {
+                      const imageURL = typeof contentChunk.imageUrl === "string"
+                        ? contentChunk.imageUrl
+                        : contentChunk.imageUrl.url
+                      strContent = strContent + imageURL
+                    }
+                  }
+                  content = strContent
+                };
                 if (!choices[part.index]) {
                   choices[part.index] = {
                     index: part.index,
                     message: {
                       role: "assistant",
-                      content: part.delta.content ?? "",
-                      toolCalls: null,
+                      content,
+                      toolCalls: part.delta.toolCalls,
                     },
-                    finishReason: part.finishReason ?? "model_length",
+                    finishReason: part.finishReason ?? "length",
                   };
                 } else {
                   const choice = choices[part.index];
-                  choice.message.content += part.delta.content ?? "";
-                  choice.finishReason = part.finishReason ?? "model_length";
+                  choice.message.content += content;
+                  choice.finishReason = part.finishReason ?? "length";
                 }
-                void runManager?.handleLLMNewToken(part.delta.content ?? "", {
+                void runManager?.handleLLMNewToken(content, {
                   prompt: part.index,
                   completion: part.index,
                 });
@@ -324,12 +347,18 @@ Either provide one via the "apiKey" field in the constructor, or set the "MISTRA
     }
 
     const generations = choices.map((promptChoices) =>
-      promptChoices.map((choice) => ({
-        text: choice.message.content ?? "",
-        generationInfo: {
-          finishReason: choice.finishReason,
-        },
-      }))
+      promptChoices.map((choice) => {
+        let text = choice.message?.content ?? "";
+        if (Array.isArray(text)) {
+          text = text[0].type === "text" ? text[0].text : "";
+        };
+        return {
+          text,
+          generationInfo: {
+            finishReason: choice.finishReason,
+          },
+        }
+      })
     );
     return {
       generations,
@@ -414,8 +443,12 @@ Either provide one via the "apiKey" field in the constructor, or set the "MISTRA
       if (!choice) {
         continue;
       }
+      let text = choice.delta.content ?? "";
+      if (Array.isArray(text)) {
+        text = text[0].type === "text" ? text[0].text : "";
+      };
       const chunk = new GenerationChunk({
-        text: choice.delta.content ?? "",
+        text,
         generationInfo: {
           finishReason: choice.finishReason,
           tokenUsage: data.usage,
diff --git a/libs/langchain-mistralai/src/utils.ts b/libs/langchain-mistralai/src/utils.ts
index 193efb570555..e596d66779e8 100644
--- a/libs/langchain-mistralai/src/utils.ts
+++ b/libs/langchain-mistralai/src/utils.ts
@@ -1,3 +1,6 @@
+import { ContentChunk as MistralAIContentChunk } from "@mistralai/mistralai/models/components/contentchunk.js";
+import { MessageContentComplex } from "@langchain/core/messages";
+
 // Mistral enforces a specific pattern for tool call IDs
 const TOOL_CALL_ID_PATTERN = /^[a-zA-Z0-9]{9}$/;
 
@@ -44,3 +47,24 @@ export function _convertToolCallIdToMistralCompatible(
     }
   }
 }
+
+export function _mistralContentChunkToMessageContentComplex(
+  content: string | MistralAIContentChunk[] | null | undefined
+): string | MessageContentComplex[] {
+  if (!content) {
+    return "";
+  };
+  if (typeof content === "string") {
+    return content;
+  };
+  return content.map((contentChunk) => {
+    // Only Mistral ImageURLChunks need conversion to MessageContentComplex
+    if (contentChunk.type === "image_url") {
+      return {
+        type: contentChunk.type,
+        image_url: contentChunk.imageUrl
+      };
+    };
+    return contentChunk;
+  });
+};
diff --git a/yarn.lock b/yarn.lock
index 3b831f4f004f..f4ece6ea9fe3 100644
--- a/yarn.lock
+++ b/yarn.lock
@@ -12336,7 +12336,7 @@ __metadata:
     "@langchain/core": "workspace:*"
     "@langchain/scripts": ">=0.1.0 <0.2.0"
     "@langchain/standard-tests": 0.0.0
-    "@mistralai/mistralai": ^1.1.0
+    "@mistralai/mistralai": ^1.3.1
     "@swc/core": ^1.3.90
     "@swc/jest": ^0.2.29
     "@tsconfig/recommended": ^1.0.3
@@ -13074,12 +13074,12 @@ __metadata:
   languageName: node
   linkType: hard
 
-"@mistralai/mistralai@npm:^1.1.0":
-  version: 1.1.0
-  resolution: "@mistralai/mistralai@npm:1.1.0"
+"@mistralai/mistralai@npm:^1.3.1":
+  version: 1.3.1
+  resolution: "@mistralai/mistralai@npm:1.3.1"
   peerDependencies:
     zod: ">= 3"
-  checksum: 219a96ec73361f7c9079d8ed77a504bea767fba7e150159d6c7ec1019b5a0a76eaf0a867b5562442ed5face483a2b7c24f597bde56ecf7b39aece3b36831ce79
+  checksum: 9e31a2f760706a9f54347ba2cb2b7784d4f93eb4ff5d87cc7cfac9b7a1a1816f21da2328f5f5e13c11ed8953f1d71f2a2e09d12123ac17d171c189d21b87a977
   languageName: node
   linkType: hard
 

From 95756e7fd31b9efa64bdaebd03ba1d0b15f7e318 Mon Sep 17 00:00:00 2001
From: BaNg-W <bang344251871@gmail.com>
Date: Fri, 15 Nov 2024 19:04:29 -0500
Subject: [PATCH 341/344] Fixed assistant role only supporting content or tool
 calls but not both

---
 libs/langchain-mistralai/src/chat_models.ts | 18 +++++++++++++-----
 libs/langchain-mistralai/src/llms.ts        |  2 +-
 2 files changed, 14 insertions(+), 6 deletions(-)

diff --git a/libs/langchain-mistralai/src/chat_models.ts b/libs/langchain-mistralai/src/chat_models.ts
index 7a7086615041..e3acacae7e8c 100644
--- a/libs/langchain-mistralai/src/chat_models.ts
+++ b/libs/langchain-mistralai/src/chat_models.ts
@@ -327,14 +327,22 @@ function convertMessagesToMistralMessages(
         ),
       };
     }
+
+    // Mistral "assistant" role can only support either content or tool calls but not both
     else if (isAIMessage(message)) {
-      return {
-        role: getRole(message.getType()),
-        content,
-        toolCalls: toolCalls,
+      if (toolCalls === undefined) {
+        return {
+          role: getRole(message.getType()),
+          content
+        };
+      } else {
+        return {
+          role: getRole(message.getType()),
+          toolCalls: toolCalls,
+        };
       };
     }
-
+    
     return {
       role: getRole(message.getType()),
       content,
diff --git a/libs/langchain-mistralai/src/llms.ts b/libs/langchain-mistralai/src/llms.ts
index 300d4efb9648..41685f327061 100644
--- a/libs/langchain-mistralai/src/llms.ts
+++ b/libs/langchain-mistralai/src/llms.ts
@@ -302,7 +302,7 @@ Either provide one via the "apiKey" field in the constructor, or set the "MISTRA
                     message: {
                       role: "assistant",
                       content,
-                      toolCalls: part.delta.toolCalls,
+                      toolCalls: null,
                     },
                     finishReason: part.finishReason ?? "length",
                   };

From 5ba420e74cc99504fc6f9ddf0a60326098f5ae8f Mon Sep 17 00:00:00 2001
From: BaNg-W <bang344251871@gmail.com>
Date: Sat, 16 Nov 2024 00:52:10 -0500
Subject: [PATCH 342/344] Added tests for image url, contentChunk,and hooks +
 linting

Co-authored-by: CarterMorris <CarterMorris@users.noreply.github.com>
---
 libs/langchain-mistralai/src/chat_models.ts   | 145 ++++---
 libs/langchain-mistralai/src/embeddings.ts    |  56 ++-
 libs/langchain-mistralai/src/llms.ts          |  89 +++--
 .../src/tests/chat_models.int.test.ts         | 373 ++++++++++++++++--
 .../src/tests/chat_models.test.ts             |   1 +
 libs/langchain-mistralai/src/utils.ts         |  26 +-
 6 files changed, 521 insertions(+), 169 deletions(-)

diff --git a/libs/langchain-mistralai/src/chat_models.ts b/libs/langchain-mistralai/src/chat_models.ts
index e3acacae7e8c..5435bb18e0ed 100644
--- a/libs/langchain-mistralai/src/chat_models.ts
+++ b/libs/langchain-mistralai/src/chat_models.ts
@@ -12,7 +12,7 @@ import { ChatCompletionStreamRequest as MistralAIChatCompletionStreamRequest } f
 import { UsageInfo as MistralAITokenUsage } from "@mistralai/mistralai/models/components/usageinfo.js";
 import { CompletionEvent as MistralAIChatCompletionEvent } from "@mistralai/mistralai/models/components/completionevent.js";
 import { ChatCompletionResponse as MistralAIChatCompletionResponse } from "@mistralai/mistralai/models/components/chatcompletionresponse.js";
-import { 
+import {
   BeforeRequestHook,
   RequestErrorHook,
   ResponseHook,
@@ -51,6 +51,7 @@ import {
   ChatGenerationChunk,
   ChatResult,
 } from "@langchain/core/outputs";
+import { AsyncCaller } from "@langchain/core/utils/async_caller";
 import { getEnvironmentVariable } from "@langchain/core/utils/env";
 import { NewTokenIndices } from "@langchain/core/callbacks/base";
 import { z } from "zod";
@@ -72,9 +73,9 @@ import {
 } from "@langchain/core/runnables";
 import { zodToJsonSchema } from "zod-to-json-schema";
 import { ToolCallChunk } from "@langchain/core/messages/tool";
-import { 
+import {
   _convertToolCallIdToMistralCompatible,
-  _mistralContentChunkToMessageContentComplex
+  _mistralContentChunkToMessageContentComplex,
 } from "./utils.js";
 
 interface TokenUsage {
@@ -231,37 +232,41 @@ function convertMessagesToMistralMessages(
     }
   };
 
-  const getContent = (content: MessageContent, type: MessageType): string | MistralAIContentChunk[] => {
-
-    const _generateContentChunk = (complex: MessageContentComplex, role: string): MistralAIContentChunk => {
-      if (complex.type === "image_url" && (role === "user" || role === "assistant")) {
+  const getContent = (
+    content: MessageContent,
+    type: MessageType
+  ): string | MistralAIContentChunk[] => {
+    const _generateContentChunk = (
+      complex: MessageContentComplex,
+      role: string
+    ): MistralAIContentChunk => {
+      if (
+        complex.type === "image_url" &&
+        (role === "user" || role === "assistant")
+      ) {
         return {
           type: complex.type,
-          imageUrl: complex?.image_url
+          imageUrl: complex?.image_url,
         };
-      };
-      
+      }
+
       if (complex.type === "text") {
         return {
           type: complex.type,
-          text: complex?.text
+          text: complex?.text,
         };
-      };
+      }
 
       throw new Error(
         `ChatMistralAI supports messages of type MessageContentText for role "human", "ai", "function"
           and "system" and MessageContentImageUrl for role "human", "ai", and "function.
-          Received: ${JSON.stringify(
-          content,
-          null,
-          2
-        )}`
+          Received: ${JSON.stringify(content, null, 2)}`
       );
     };
 
     if (typeof content === "string") {
       return content;
-    };
+    }
 
     if (Array.isArray(content)) {
       const mistralRole = getRole(type);
@@ -271,34 +276,36 @@ function convertMessagesToMistralMessages(
         let strContent = "";
         content.forEach((messageContentComplex) => {
           // Ignore all non-text complex message types
-          if (messageContentComplex.type === "text" && "text" in messageContentComplex) {
-            strContent + messageContentComplex.text;
-          };
+          if (
+            messageContentComplex.type === "text" &&
+            "text" in messageContentComplex
+          ) {
+            strContent += messageContentComplex.text;
+          }
         });
         return strContent;
-      };
+      }
 
       // Mistral "assistant" and "user" roles can support Mistral ContentChunks
       // Mistral "system" role can support Mistral TextChunks
-      let newContent: MistralAIContentChunk[] = [];
+      const newContent: MistralAIContentChunk[] = [];
       content.forEach((messageContentComplex) => {
         // Mistral content chunks only support type "text" and "image_url"
-        if (messageContentComplex.type === "text" || messageContentComplex.type == "image_url") {
+        if (
+          messageContentComplex.type === "text" ||
+          messageContentComplex.type === "image_url"
+        ) {
           newContent.push(
             _generateContentChunk(messageContentComplex, mistralRole)
           );
-        };
+        }
       });
       return newContent;
-    };
-    
+    }
+
     throw new Error(
       `ChatMistralAI does not support non text message content for role "ai", "tool", 
-        or "function". Received: ${JSON.stringify(
-        content,
-        null,
-        2
-      )}`
+        or "function". Received: ${JSON.stringify(content, null, 2)}`
     );
   };
 
@@ -322,9 +329,7 @@ function convertMessagesToMistralMessages(
         role: getRole(message.getType()),
         content,
         name: message.name,
-        toolCallId: _convertToolCallIdToMistralCompatible(
-          message.tool_call_id
-        ),
+        toolCallId: _convertToolCallIdToMistralCompatible(message.tool_call_id),
       };
     }
 
@@ -333,16 +338,16 @@ function convertMessagesToMistralMessages(
       if (toolCalls === undefined) {
         return {
           role: getRole(message.getType()),
-          content
+          content,
         };
       } else {
         return {
           role: getRole(message.getType()),
-          toolCalls: toolCalls,
+          toolCalls,
         };
-      };
+      }
     }
-    
+
     return {
       role: getRole(message.getType()),
       content,
@@ -887,6 +892,8 @@ export class ChatMistralAI<
 
   seed?: number;
 
+  maxRetries?: number;
+
   lc_serializable = true;
 
   streamUsage = true;
@@ -922,12 +929,15 @@ export class ChatMistralAI<
     this.safePrompt = fields?.safePrompt ?? this.safePrompt;
     this.randomSeed = fields?.seed ?? fields?.randomSeed ?? this.seed;
     this.seed = this.randomSeed;
+    this.maxRetries = fields?.maxRetries;
     this.httpClient = fields?.httpClient;
     this.modelName = fields?.model ?? fields?.modelName ?? this.model;
     this.model = this.modelName;
     this.streamUsage = fields?.streamUsage ?? this.streamUsage;
-    this.beforeRequestHooks = fields?.beforeRequestHooks ?? this.beforeRequestHooks;
-    this.requestErrorHooks = fields?.requestErrorHooks ?? this.requestErrorHooks;
+    this.beforeRequestHooks =
+      fields?.beforeRequestHooks ?? this.beforeRequestHooks;
+    this.requestErrorHooks =
+      fields?.requestErrorHooks ?? this.requestErrorHooks;
     this.responseHooks = fields?.responseHooks ?? this.responseHooks;
     this.httpClient = fields?.httpClient ?? this.httpClient;
     this.presencePenalty = fields?.presencePenalty ?? this.presencePenalty;
@@ -968,7 +978,10 @@ export class ChatMistralAI<
    */
   invocationParams(
     options?: this["ParsedCallOptions"]
-  ): Omit<MistralAIChatCompletionRequest | MistralAIChatCompletionStreamRequest, "messages"> {
+  ): Omit<
+    MistralAIChatCompletionRequest | MistralAIChatCompletionStreamRequest,
+    "messages"
+  > {
     const { response_format, tools, tool_choice } = options ?? {};
     const mistralAITools: Array<MistralAITool> | undefined = tools?.length
       ? _convertToolToMistralTool(tools)
@@ -1016,19 +1029,25 @@ export class ChatMistralAI<
   ): Promise<MistralAIChatCompletionResponse>;
 
   async completionWithRetry(
-    input: MistralAIChatCompletionRequest | MistralAIChatCompletionStreamRequest,
+    input:
+      | MistralAIChatCompletionRequest
+      | MistralAIChatCompletionStreamRequest,
     streaming: boolean
   ): Promise<
-    MistralAIChatCompletionResponse | AsyncIterable<MistralAIChatCompletionEvent>
+    | MistralAIChatCompletionResponse
+    | AsyncIterable<MistralAIChatCompletionEvent>
   > {
+    const caller = new AsyncCaller({
+      maxRetries: this.maxRetries,
+    });
     const client = new MistralClient({
       apiKey: this.apiKey,
       serverURL: this.serverURL,
       // If httpClient exists, pass it into constructor
-      ...( this.httpClient ? {httpClient: this.httpClient} : {}),
+      ...(this.httpClient ? { httpClient: this.httpClient } : {}),
     });
 
-    return this.caller.call(async () => {
+    return caller.call(async () => {
       try {
         let res:
           | MistralAIChatCompletionResponse
@@ -1122,7 +1141,7 @@ export class ChatMistralAI<
       let text = part.message?.content ?? "";
       if (Array.isArray(text)) {
         text = text[0].type === "text" ? text[0].text : "";
-      };
+      }
       const generation: ChatGeneration = {
         text,
         message: mistralAIResponseToChatMessage(part, response?.usage),
@@ -1180,7 +1199,7 @@ export class ChatMistralAI<
       let text = delta.content ?? "";
       if (Array.isArray(text)) {
         text = text[0].type === "text" ? text[0].text : "";
-      };
+      }
       const generationChunk = new ChatGenerationChunk({
         message,
         text,
@@ -1208,26 +1227,26 @@ export class ChatMistralAI<
       const hasHooks = [
         this.beforeRequestHooks,
         this.requestErrorHooks,
-        this.responseHooks
-      ].some(hook => hook && hook.length > 0);
+        this.responseHooks,
+      ].some((hook) => hook && hook.length > 0);
       if (hasHooks && !this.httpClient) {
         this.httpClient = new MistralAIHTTPClient();
       }
 
       if (this.beforeRequestHooks) {
-        for(const hook of this.beforeRequestHooks) {
+        for (const hook of this.beforeRequestHooks) {
           this.httpClient?.addHook("beforeRequest", hook);
         }
       }
 
       if (this.requestErrorHooks) {
-        for(const hook of this.requestErrorHooks) {
+        for (const hook of this.requestErrorHooks) {
           this.httpClient?.addHook("requestError", hook);
         }
       }
 
       if (this.responseHooks) {
-        for(const hook of this.responseHooks) {
+        for (const hook of this.responseHooks) {
           this.httpClient?.addHook("response", hook);
         }
       }
@@ -1239,19 +1258,19 @@ export class ChatMistralAI<
   removeAllHooksFromHttpClient() {
     try {
       if (this.beforeRequestHooks) {
-        for(const hook of this.beforeRequestHooks) {
+        for (const hook of this.beforeRequestHooks) {
           this.httpClient?.removeHook("beforeRequest", hook);
         }
       }
 
       if (this.requestErrorHooks) {
-        for(const hook of this.requestErrorHooks) {
+        for (const hook of this.requestErrorHooks) {
           this.httpClient?.removeHook("requestError", hook);
         }
       }
 
       if (this.responseHooks) {
-        for(const hook of this.responseHooks) {
+        for (const hook of this.responseHooks) {
           this.httpClient?.removeHook("response", hook);
         }
       }
@@ -1275,7 +1294,7 @@ export class ChatMistralAI<
   /** @ignore */
   _combineLLMOutput() {
     return [];
-  } 
+  }
 
   withStructuredOutput<
     // eslint-disable-next-line @typescript-eslint/no-explicit-any
@@ -1315,11 +1334,11 @@ export class ChatMistralAI<
         { raw: BaseMessage; parsed: RunOutput }
       > {
     // eslint-disable-next-line @typescript-eslint/no-explicit-any
-    let schema: z.ZodType<RunOutput> | Record<string, any> = outputSchema;
-    let name = config?.name;
-    let method = config?.method;
-    let includeRaw = config?.includeRaw;
-  
+    const schema: z.ZodType<RunOutput> | Record<string, any> = outputSchema;
+    const name = config?.name;
+    const method = config?.method;
+    const includeRaw = config?.includeRaw;
+
     let llm: Runnable<BaseLanguageModelInput>;
     let outputParser: BaseLLMOutputParser<RunOutput>;
 
@@ -1379,7 +1398,7 @@ export class ChatMistralAI<
             },
           ],
           tool_choice: "any",
-          } as Partial<CallOptions>);
+        } as Partial<CallOptions>);
         outputParser = new JsonOutputKeyToolsParser<RunOutput>({
           returnSingle: true,
           keyName: functionName,
diff --git a/libs/langchain-mistralai/src/embeddings.ts b/libs/langchain-mistralai/src/embeddings.ts
index 382e1fd65a19..c21d1d4947c7 100644
--- a/libs/langchain-mistralai/src/embeddings.ts
+++ b/libs/langchain-mistralai/src/embeddings.ts
@@ -1,9 +1,9 @@
 import { getEnvironmentVariable } from "@langchain/core/utils/env";
 import { Embeddings, type EmbeddingsParams } from "@langchain/core/embeddings";
 import { chunkArray } from "@langchain/core/utils/chunk_array";
-import { EmbeddingRequest as MistralAIEmbeddingsRequest} from "@mistralai/mistralai/src/models/components/embeddingrequest.js";
-import { EmbeddingResponse as MistralAIEmbeddingsResponse} from "@mistralai/mistralai/src/models/components/embeddingresponse.js";
-import { 
+import { EmbeddingRequest as MistralAIEmbeddingsRequest } from "@mistralai/mistralai/src/models/components/embeddingrequest.js";
+import { EmbeddingResponse as MistralAIEmbeddingsResponse } from "@mistralai/mistralai/src/models/components/embeddingresponse.js";
+import {
   BeforeRequestHook,
   RequestErrorHook,
   ResponseHook,
@@ -62,21 +62,20 @@ export interface MistralAIEmbeddingsParams extends EmbeddingsParams {
    */
   beforeRequestHooks?: BeforeRequestHook[];
   /**
-     * A list of custom hooks that must follow (err: unknown, req: Request) => Awaitable<void>
-     * They are automatically added when a ChatMistralAI instance is created
-     */
+   * A list of custom hooks that must follow (err: unknown, req: Request) => Awaitable<void>
+   * They are automatically added when a ChatMistralAI instance is created
+   */
   requestErrorHooks?: RequestErrorHook[];
   /**
-     * A list of custom hooks that must follow (res: Response, req: Request) => Awaitable<void>
-     * They are automatically added when a ChatMistralAI instance is created
-     */
+   * A list of custom hooks that must follow (res: Response, req: Request) => Awaitable<void>
+   * They are automatically added when a ChatMistralAI instance is created
+   */
   responseHooks?: ResponseHook[];
   /**
    * Optional custom HTTP client to manage API requests
    * Allows users to add custom fetch implementations, hooks, as well as error and response processing.
    */
   httpClient?: MistralAIHTTPClient;
-
 }
 
 /**
@@ -126,14 +125,15 @@ export class MistralAIEmbeddings
     this.encodingFormat = fields?.encodingFormat ?? this.encodingFormat;
     this.batchSize = fields?.batchSize ?? this.batchSize;
     this.stripNewLines = fields?.stripNewLines ?? this.stripNewLines;
-    this.beforeRequestHooks = fields?.beforeRequestHooks ?? this.beforeRequestHooks;
-    this.requestErrorHooks = fields?.requestErrorHooks ?? this.requestErrorHooks;
+    this.beforeRequestHooks =
+      fields?.beforeRequestHooks ?? this.beforeRequestHooks;
+    this.requestErrorHooks =
+      fields?.requestErrorHooks ?? this.requestErrorHooks;
     this.responseHooks = fields?.responseHooks ?? this.responseHooks;
     this.httpClient = fields?.httpClient ?? this.httpClient;
     this.addAllHooksToHttpClient();
   }
 
-  
   /**
    * Method to generate embeddings for an array of documents. Splits the
    * documents into batches and makes requests to the MistralAI API to generate
@@ -188,20 +188,18 @@ export class MistralAIEmbeddings
   ): Promise<MistralAIEmbeddingsResponse> {
     const { Mistral } = await this.imports();
     const client = new Mistral({
-      apiKey: this.apiKey, 
+      apiKey: this.apiKey,
       serverURL: this.serverURL,
       // If httpClient exists, pass it into constructor
-      ...( this.httpClient ? {httpClient: this.httpClient} : {})
+      ...(this.httpClient ? { httpClient: this.httpClient } : {}),
     });
-    let embeddingsRequest: MistralAIEmbeddingsRequest = {
+    const embeddingsRequest: MistralAIEmbeddingsRequest = {
       model: this.model,
       inputs,
-      encodingFormat: this.encodingFormat
-    }
+      encodingFormat: this.encodingFormat,
+    };
     return this.caller.call(async () => {
-      const res = await client.embeddings.create(
-        embeddingsRequest,
-      );
+      const res = await client.embeddings.create(embeddingsRequest);
       return res;
     });
   }
@@ -215,26 +213,26 @@ export class MistralAIEmbeddings
       const hasHooks = [
         this.beforeRequestHooks,
         this.requestErrorHooks,
-        this.responseHooks
-      ].some(hook => hook && hook.length > 0);
+        this.responseHooks,
+      ].some((hook) => hook && hook.length > 0);
       if (hasHooks && !this.httpClient) {
         this.httpClient = new MistralAIHTTPClient();
       }
 
       if (this.beforeRequestHooks) {
-        for(const hook of this.beforeRequestHooks) {
+        for (const hook of this.beforeRequestHooks) {
           this.httpClient?.addHook("beforeRequest", hook);
         }
       }
 
       if (this.requestErrorHooks) {
-        for(const hook of this.requestErrorHooks) {
+        for (const hook of this.requestErrorHooks) {
           this.httpClient?.addHook("requestError", hook);
         }
       }
 
       if (this.responseHooks) {
-        for(const hook of this.responseHooks) {
+        for (const hook of this.responseHooks) {
           this.httpClient?.addHook("response", hook);
         }
       }
@@ -246,19 +244,19 @@ export class MistralAIEmbeddings
   removeAllHooksFromHttpClient() {
     try {
       if (this.beforeRequestHooks) {
-        for(const hook of this.beforeRequestHooks) {
+        for (const hook of this.beforeRequestHooks) {
           this.httpClient?.removeHook("beforeRequest", hook);
         }
       }
 
       if (this.requestErrorHooks) {
-        for(const hook of this.requestErrorHooks) {
+        for (const hook of this.requestErrorHooks) {
           this.httpClient?.removeHook("requestError", hook);
         }
       }
 
       if (this.responseHooks) {
-        for(const hook of this.responseHooks) {
+        for (const hook of this.responseHooks) {
           this.httpClient?.removeHook("response", hook);
         }
       }
diff --git a/libs/langchain-mistralai/src/llms.ts b/libs/langchain-mistralai/src/llms.ts
index 41685f327061..86d1c7d29243 100644
--- a/libs/langchain-mistralai/src/llms.ts
+++ b/libs/langchain-mistralai/src/llms.ts
@@ -3,18 +3,17 @@ import { BaseLLMParams, LLM } from "@langchain/core/language_models/llms";
 import { type BaseLanguageModelCallOptions } from "@langchain/core/language_models/base";
 import { GenerationChunk, LLMResult } from "@langchain/core/outputs";
 import { FIMCompletionRequest as MistralAIFIMCompletionRequest } from "@mistralai/mistralai/models/components/fimcompletionrequest.js";
-import { FIMCompletionStreamRequest as MistralAIFIMCompletionStreamRequest} from "@mistralai/mistralai/models/components/fimcompletionstreamrequest.js";
+import { FIMCompletionStreamRequest as MistralAIFIMCompletionStreamRequest } from "@mistralai/mistralai/models/components/fimcompletionstreamrequest.js";
 import { FIMCompletionResponse as MistralAIFIMCompletionResponse } from "@mistralai/mistralai/models/components/fimcompletionresponse.js";
-import { ChatCompletionChoice as MistralAIChatCompletionChoice} from "@mistralai/mistralai/models/components/chatcompletionchoice.js";
+import { ChatCompletionChoice as MistralAIChatCompletionChoice } from "@mistralai/mistralai/models/components/chatcompletionchoice.js";
 import { CompletionEvent as MistralAIChatCompletionEvent } from "@mistralai/mistralai/models/components/completionevent.js";
 import { CompletionChunk as MistralAICompetionChunk } from "@mistralai/mistralai/models/components/completionchunk.js";
-import { 
+import {
   BeforeRequestHook,
   RequestErrorHook,
   ResponseHook,
   HTTPClient as MistralAIHTTPClient,
 } from "@mistralai/mistralai/lib/http.js";
-import { _mistralContentChunkToMessageContentComplex } from "./utils.js";
 import { getEnvironmentVariable } from "@langchain/core/utils/env";
 import { chunkArray } from "@langchain/core/utils/chunk_array";
 import { AsyncCaller } from "@langchain/core/utils/async_caller";
@@ -87,14 +86,14 @@ export interface MistralAIInput extends BaseLLMParams {
    */
   beforeRequestHooks?: BeforeRequestHook[];
   /**
-     * A list of custom hooks that must follow (err: unknown, req: Request) => Awaitable<void>
-     * They are automatically added when a ChatMistralAI instance is created
-     */
+   * A list of custom hooks that must follow (err: unknown, req: Request) => Awaitable<void>
+   * They are automatically added when a ChatMistralAI instance is created
+   */
   requestErrorHooks?: RequestErrorHook[];
   /**
-     * A list of custom hooks that must follow (res: Response, req: Request) => Awaitable<void>
-     * They are automatically added when a ChatMistralAI instance is created
-     */
+   * A list of custom hooks that must follow (res: Response, req: Request) => Awaitable<void>
+   * They are automatically added when a ChatMistralAI instance is created
+   */
   responseHooks?: ResponseHook[];
   /**
    * Optional custom HTTP client to manage API requests
@@ -166,8 +165,10 @@ export class MistralAI
     this.serverURL = fields?.serverURL ?? this.serverURL;
     this.maxRetries = fields?.maxRetries;
     this.maxConcurrency = fields?.maxConcurrency;
-    this.beforeRequestHooks = fields?.beforeRequestHooks ?? this.beforeRequestHooks;
-    this.requestErrorHooks = fields?.requestErrorHooks ?? this.requestErrorHooks;
+    this.beforeRequestHooks =
+      fields?.beforeRequestHooks ?? this.beforeRequestHooks;
+    this.requestErrorHooks =
+      fields?.requestErrorHooks ?? this.requestErrorHooks;
     this.responseHooks = fields?.responseHooks ?? this.responseHooks;
     this.httpClient = fields?.httpClient ?? this.httpClient;
 
@@ -201,7 +202,10 @@ Either provide one via the "apiKey" field in the constructor, or set the "MISTRA
 
   invocationParams(
     options: this["ParsedCallOptions"]
-  ): Omit<MistralAIFIMCompletionRequest | MistralAIFIMCompletionStreamRequest, "prompt"> {
+  ): Omit<
+    MistralAIFIMCompletionRequest | MistralAIFIMCompletionStreamRequest,
+    "prompt"
+  > {
     return {
       model: this.model,
       suffix: options.suffix,
@@ -231,8 +235,8 @@ Either provide one via the "apiKey" field in the constructor, or set the "MISTRA
     let content = result?.choices?.[0].message.content ?? "";
     if (Array.isArray(content)) {
       content = content[0].type === "text" ? content[0].text : "";
-    };
-    return content
+    }
+    return content;
   }
 
   async _generate(
@@ -258,7 +262,7 @@ Either provide one via the "apiKey" field in the constructor, or set the "MISTRA
             let response:
               | Omit<MistralAICompetionChunk, "choices" | "usage">
               | undefined;
-              const stream = await this.completionWithRetry(
+            const stream = await this.completionWithRetry(
               {
                 ...params,
                 prompt: subPrompts[i][x],
@@ -282,20 +286,20 @@ Either provide one via the "apiKey" field in the constructor, or set the "MISTRA
                 let content = part.delta.content ?? "";
                 // Convert MistralContentChunk data into a string
                 if (Array.isArray(content)) {
-                  let strContent = ""
-                  for (let contentChunk of content) {
+                  let strContent = "";
+                  for (const contentChunk of content) {
                     if (contentChunk.type === "text") {
-                      strContent = strContent + contentChunk.text
-                    }
-                    else if (contentChunk.type === "image_url") {
-                      const imageURL = typeof contentChunk.imageUrl === "string"
-                        ? contentChunk.imageUrl
-                        : contentChunk.imageUrl.url
-                      strContent = strContent + imageURL
+                      strContent += contentChunk.text;
+                    } else if (contentChunk.type === "image_url") {
+                      const imageURL =
+                        typeof contentChunk.imageUrl === "string"
+                          ? contentChunk.imageUrl
+                          : contentChunk.imageUrl.url;
+                      strContent += imageURL;
                     }
                   }
-                  content = strContent
-                };
+                  content = strContent;
+                }
                 if (!choices[part.index]) {
                   choices[part.index] = {
                     index: part.index,
@@ -351,13 +355,13 @@ Either provide one via the "apiKey" field in the constructor, or set the "MISTRA
         let text = choice.message?.content ?? "";
         if (Array.isArray(text)) {
           text = text[0].type === "text" ? text[0].text : "";
-        };
+        }
         return {
           text,
           generationInfo: {
             finishReason: choice.finishReason,
           },
-        }
+        };
       })
     );
     return {
@@ -378,7 +382,9 @@ Either provide one via the "apiKey" field in the constructor, or set the "MISTRA
   ): Promise<AsyncIterable<MistralAIChatCompletionEvent>>;
 
   async completionWithRetry(
-    request: MistralAIFIMCompletionRequest | MistralAIFIMCompletionStreamRequest,
+    request:
+      | MistralAIFIMCompletionRequest
+      | MistralAIFIMCompletionStreamRequest,
     options: this["ParsedCallOptions"],
     stream: boolean
   ): Promise<
@@ -394,7 +400,7 @@ Either provide one via the "apiKey" field in the constructor, or set the "MISTRA
       serverURL: this.serverURL,
       timeoutMs: options.timeout,
       // If httpClient exists, pass it into constructor
-      ...( this.httpClient ? {httpClient: this.httpClient} : {})
+      ...(this.httpClient ? { httpClient: this.httpClient } : {}),
     });
     return caller.callWithOptions(
       {
@@ -438,7 +444,7 @@ Either provide one via the "apiKey" field in the constructor, or set the "MISTRA
     };
     const stream = await this.completionWithRetry(params, options, true);
     for await (const message of stream) {
-      const data = message.data
+      const { data } = message;
       const choice = data?.choices[0];
       if (!choice) {
         continue;
@@ -446,7 +452,7 @@ Either provide one via the "apiKey" field in the constructor, or set the "MISTRA
       let text = choice.delta.content ?? "";
       if (Array.isArray(text)) {
         text = text[0].type === "text" ? text[0].text : "";
-      };
+      }
       const chunk = new GenerationChunk({
         text,
         generationInfo: {
@@ -472,26 +478,26 @@ Either provide one via the "apiKey" field in the constructor, or set the "MISTRA
       const hasHooks = [
         this.beforeRequestHooks,
         this.requestErrorHooks,
-        this.responseHooks
-      ].some(hook => hook && hook.length > 0);
+        this.responseHooks,
+      ].some((hook) => hook && hook.length > 0);
       if (hasHooks && !this.httpClient) {
         this.httpClient = new MistralAIHTTPClient();
       }
 
       if (this.beforeRequestHooks) {
-        for(const hook of this.beforeRequestHooks) {
+        for (const hook of this.beforeRequestHooks) {
           this.httpClient?.addHook("beforeRequest", hook);
         }
       }
 
       if (this.requestErrorHooks) {
-        for(const hook of this.requestErrorHooks) {
+        for (const hook of this.requestErrorHooks) {
           this.httpClient?.addHook("requestError", hook);
         }
       }
 
       if (this.responseHooks) {
-        for(const hook of this.responseHooks) {
+        for (const hook of this.responseHooks) {
           this.httpClient?.addHook("response", hook);
         }
       }
@@ -503,19 +509,19 @@ Either provide one via the "apiKey" field in the constructor, or set the "MISTRA
   removeAllHooksFromHttpClient() {
     try {
       if (this.beforeRequestHooks) {
-        for(const hook of this.beforeRequestHooks) {
+        for (const hook of this.beforeRequestHooks) {
           this.httpClient?.removeHook("beforeRequest", hook);
         }
       }
 
       if (this.requestErrorHooks) {
-        for(const hook of this.requestErrorHooks) {
+        for (const hook of this.requestErrorHooks) {
           this.httpClient?.removeHook("requestError", hook);
         }
       }
 
       if (this.responseHooks) {
-        for(const hook of this.responseHooks) {
+        for (const hook of this.responseHooks) {
           this.httpClient?.removeHook("response", hook);
         }
       }
@@ -536,7 +542,6 @@ Either provide one via the "apiKey" field in the constructor, or set the "MISTRA
     }
   }
 
-
   /** @ignore */
   private async imports() {
     const { Mistral } = await import("@mistralai/mistralai");
diff --git a/libs/langchain-mistralai/src/tests/chat_models.int.test.ts b/libs/langchain-mistralai/src/tests/chat_models.int.test.ts
index b0dda9e92513..c50c8261dda7 100644
--- a/libs/langchain-mistralai/src/tests/chat_models.int.test.ts
+++ b/libs/langchain-mistralai/src/tests/chat_models.int.test.ts
@@ -6,10 +6,14 @@ import {
   AIMessage,
   AIMessageChunk,
   HumanMessage,
+  SystemMessage,
   ToolMessage,
 } from "@langchain/core/messages";
+import { ContentChunk as MistralAIContentChunk } from "@mistralai/mistralai/models/components/contentchunk.js";
+import { HTTPClient } from "@mistralai/mistralai/lib/http.js";
 import { zodToJsonSchema } from "zod-to-json-schema";
 import { ChatMistralAI } from "../chat_models.js";
+import { _mistralContentChunkToMessageContentComplex } from "../utils.js";
 
 test("Test ChatMistralAI can invoke hello", async () => {
   const model = new ChatMistralAI({
@@ -81,12 +85,8 @@ test("Can call tools using structured tools", async () => {
   const response = await chain.invoke({});
   expect("tool_calls" in response).toBe(true);
   // console.log(response.additional_kwargs.tool_calls?.[0]);
-  expect(response.tool_calls?.[0].name).toBe(
-    "calculator"
-  );
-  expect(
-    response.tool_calls?.[0].args?.calculator
-  ).toBeDefined();
+  expect(response.tool_calls?.[0].name).toBe("calculator");
+  expect(response.tool_calls?.[0].args?.calculator).toBeDefined();
 });
 
 test("Can call tools using raw tools", async () => {
@@ -127,12 +127,8 @@ test("Can call tools using raw tools", async () => {
   const response = await chain.invoke({});
   // console.log(response);
   expect(response.tool_calls?.length).toEqual(1);
-  expect(response.tool_calls?.[0].name).toBe(
-    "calculator"
-  );
-  expect(
-    response.tool_calls?.[0].args?.calculator
-  ).toBeDefined();
+  expect(response.tool_calls?.[0].name).toBe("calculator");
+  expect(response.tool_calls?.[0].args?.calculator).toBeDefined();
 });
 
 test("Can call .stream with tool calling", async () => {
@@ -179,12 +175,8 @@ test("Can call .stream with tool calling", async () => {
 
   expect("tool_calls" in finalRes).toBe(true);
   // console.log(finalRes.additional_kwargs.tool_calls?.[0]);
-  expect(finalRes.tool_calls?.[0].name).toBe(
-    "calculator"
-  );
-  expect(
-    finalRes.tool_calls?.[0].args.calculator
-  ).toBeDefined();
+  expect(finalRes.tool_calls?.[0].name).toBe("calculator");
+  expect(finalRes.tool_calls?.[0].args.calculator).toBeDefined();
 });
 
 test("Can use json mode response format", async () => {
@@ -596,18 +588,10 @@ describe("withStructuredOutput", () => {
     }
     const { raw } = result as { raw: AIMessage };
     expect(raw.tool_calls?.length).toBeGreaterThan(0);
-    expect(raw.tool_calls?.[0].name).toBe(
-      "calculator"
-    );
-    expect(
-      "operation" in (raw.tool_calls?.[0]?.args ?? {})
-    ).toBe(true);
-    expect(
-      "number1" in (raw.tool_calls?.[0]?.args ?? {})
-    ).toBe(true);
-    expect(
-      "number2" in (raw.tool_calls?.[0]?.args ?? {})
-    ).toBe(true);
+    expect(raw.tool_calls?.[0].name).toBe("calculator");
+    expect("operation" in (raw.tool_calls?.[0]?.args ?? {})).toBe(true);
+    expect("number1" in (raw.tool_calls?.[0]?.args ?? {})).toBe(true);
+    expect("number2" in (raw.tool_calls?.[0]?.args ?? {})).toBe(true);
   });
 });
 
@@ -933,3 +917,332 @@ test("withStructuredOutput will always force tool usage", async () => {
   const castMessage = response.raw as AIMessage;
   expect(castMessage.tool_calls).toHaveLength(1);
 });
+
+test("Test ChatMistralAI can invoke with MessageContent input types", async () => {
+  const model = new ChatMistralAI({
+    model: "pixtral-12b-2409",
+  });
+  const messagesListContent = [
+    new SystemMessage({
+      content: "List the top 5 countries in Europe with the highest GDP",
+    }),
+    new HumanMessage({
+      content: [
+        {
+          type: "text",
+          text: "Here is an infographic with European GPDs",
+        },
+        {
+          type: "image_url",
+          image_url: "https://mistral.ai/images/news/pixtral-12b/gdp.png",
+        },
+      ],
+    }),
+  ];
+  const response = await model.invoke(messagesListContent);
+  console.log("response", response);
+  expect(response.content.length).toBeGreaterThan(1);
+});
+
+test("Mistral ContentChunk to MessageContentComplex conversion", () => {
+  const mistralMessages = [
+    {
+      type: "text",
+      text: "Test message",
+    },
+    {
+      type: "image_url",
+      imageUrl: "https://mistral.ai/images/news/pixtral-12b/gdp.png",
+    },
+    {
+      type: "image_url",
+      imageUrl: {
+        url: "https://mistral.ai/images/news/pixtral-12b/gdp.png",
+        detail: "high",
+      },
+    },
+    {
+      type: "image_url",
+      imageUrl: {
+        url: "https://mistral.ai/images/news/pixtral-12b/gdp.png",
+        detail: "medium",
+      },
+    },
+    {
+      type: "image_url",
+      imageUrl: {
+        url: "https://mistral.ai/images/news/pixtral-12b/gdp.png",
+      },
+    },
+  ] as MistralAIContentChunk[];
+
+  expect(_mistralContentChunkToMessageContentComplex(mistralMessages)).toEqual([
+    {
+      type: "text",
+      text: "Test message",
+    },
+    {
+      type: "image_url",
+      image_url: "https://mistral.ai/images/news/pixtral-12b/gdp.png",
+    },
+    {
+      type: "image_url",
+      image_url: {
+        url: "https://mistral.ai/images/news/pixtral-12b/gdp.png",
+        detail: "high",
+      },
+    },
+    {
+      type: "image_url",
+      image_url: {
+        url: "https://mistral.ai/images/news/pixtral-12b/gdp.png",
+      },
+    },
+    {
+      type: "image_url",
+      image_url: {
+        url: "https://mistral.ai/images/news/pixtral-12b/gdp.png",
+      },
+    },
+  ]);
+});
+
+test("Test ChatMistralAI can register BeforeRequestHook function", async () => {
+  const model = new ChatMistralAI({
+    model: "mistral-tiny",
+  });
+  const prompt = ChatPromptTemplate.fromMessages([
+    ["system", "You are a helpful assistant"],
+    ["human", "{input}"],
+  ]);
+
+  let count = 0;
+  const addCount = () => {
+    count += 1;
+  };
+
+  const beforeRequestHook = (): void => {
+    addCount();
+  };
+  model.beforeRequestHooks = [beforeRequestHook];
+  model.addAllHooksToHttpClient();
+
+  await prompt.pipe(model).invoke({
+    input: "Hello",
+  });
+  // console.log(count);
+  expect(count).toEqual(1);
+});
+
+test("Test ChatMistralAI can register RequestErrorHook function", async () => {
+  const fetcher = (): Promise<Response> =>
+    Promise.reject(new Error("Intended fetcher error"));
+  const customHttpClient = new HTTPClient({ fetcher });
+
+  const model = new ChatMistralAI({
+    model: "mistral-tiny",
+    httpClient: customHttpClient,
+    maxRetries: 0,
+  });
+  const prompt = ChatPromptTemplate.fromMessages([
+    ["system", "You are a helpful assistant"],
+    ["human", "{input}"],
+  ]);
+
+  let count = 0;
+  const addCount = () => {
+    count += 1;
+  };
+
+  const RequestErrorHook = (): void => {
+    addCount();
+    console.log("In request error hook");
+  };
+  model.requestErrorHooks = [RequestErrorHook];
+  model.addAllHooksToHttpClient();
+
+  try {
+    await prompt.pipe(model).invoke({
+      input: "Hello",
+    });
+  } catch (e: unknown) {
+    // Intended error, do not rethrow
+  }
+
+  // console.log(count);
+  expect(count).toEqual(1);
+});
+
+test("Test ChatMistralAI can register ResponseHook function", async () => {
+  const model = new ChatMistralAI({
+    model: "mistral-tiny",
+  });
+  const prompt = ChatPromptTemplate.fromMessages([
+    ["system", "You are a helpful assistant"],
+    ["human", "{input}"],
+  ]);
+
+  let count = 0;
+  const addCount = () => {
+    count += 1;
+  };
+
+  const ResponseHook = (): void => {
+    addCount();
+  };
+  model.responseHooks = [ResponseHook];
+  model.addAllHooksToHttpClient();
+
+  await prompt.pipe(model).invoke({
+    input: "Hello",
+  });
+  // console.log(count);
+  expect(count).toEqual(1);
+});
+
+test("Test ChatMistralAI can register multiple hook functions with success", async () => {
+  const model = new ChatMistralAI({
+    model: "mistral-tiny",
+  });
+  const prompt = ChatPromptTemplate.fromMessages([
+    ["system", "You are a helpful assistant"],
+    ["human", "{input}"],
+  ]);
+
+  let count = 0;
+  const addCount = () => {
+    count += 1;
+  };
+
+  const beforeRequestHook = (): void => {
+    addCount();
+  };
+  const ResponseHook = (): void => {
+    addCount();
+  };
+  model.beforeRequestHooks = [beforeRequestHook];
+  model.responseHooks = [ResponseHook];
+  model.addAllHooksToHttpClient();
+
+  await prompt.pipe(model).invoke({
+    input: "Hello",
+  });
+  // console.log(count);
+  expect(count).toEqual(2);
+});
+
+test("Test ChatMistralAI can register multiple hook functions with error", async () => {
+  const fetcher = (): Promise<Response> =>
+    Promise.reject(new Error("Intended fetcher error"));
+  const customHttpClient = new HTTPClient({ fetcher });
+
+  const model = new ChatMistralAI({
+    model: "mistral-tiny",
+    httpClient: customHttpClient,
+    maxRetries: 0,
+  });
+
+  const prompt = ChatPromptTemplate.fromMessages([
+    ["system", "You are a helpful assistant"],
+    ["human", "{input}"],
+  ]);
+
+  let count = 0;
+  const addCount = () => {
+    count += 1;
+  };
+
+  const beforeRequestHook = (): void => {
+    addCount();
+  };
+  const RequestErrorHook = (): void => {
+    addCount();
+  };
+  model.beforeRequestHooks = [beforeRequestHook];
+  model.requestErrorHooks = [RequestErrorHook];
+  model.addAllHooksToHttpClient();
+
+  try {
+    await prompt.pipe(model).invoke({
+      input: "Hello",
+    });
+  } catch (e: unknown) {
+    // Intended error, do not rethrow
+  }
+  // console.log(count);
+  expect(count).toEqual(2);
+});
+
+test("Test ChatMistralAI can remove hook", async () => {
+  const model = new ChatMistralAI({
+    model: "mistral-tiny",
+  });
+  const prompt = ChatPromptTemplate.fromMessages([
+    ["system", "You are a helpful assistant"],
+    ["human", "{input}"],
+  ]);
+
+  let count = 0;
+  const addCount = () => {
+    count += 1;
+  };
+
+  const beforeRequestHook = (): void => {
+    addCount();
+  };
+  model.beforeRequestHooks = [beforeRequestHook];
+  model.addAllHooksToHttpClient();
+
+  await prompt.pipe(model).invoke({
+    input: "Hello",
+  });
+  // console.log(count);
+  expect(count).toEqual(1);
+
+  model.removeHookFromHttpClient(beforeRequestHook);
+
+  await prompt.pipe(model).invoke({
+    input: "Hello",
+  });
+  // console.log(count);
+  expect(count).toEqual(1);
+});
+
+test("Test ChatMistralAI can remove all hooks", async () => {
+  const model = new ChatMistralAI({
+    model: "mistral-tiny",
+  });
+  const prompt = ChatPromptTemplate.fromMessages([
+    ["system", "You are a helpful assistant"],
+    ["human", "{input}"],
+  ]);
+
+  let count = 0;
+  const addCount = () => {
+    count += 1;
+  };
+
+  const beforeRequestHook = (): void => {
+    addCount();
+  };
+  const ResponseHook = (): void => {
+    addCount();
+  };
+  model.beforeRequestHooks = [beforeRequestHook];
+  model.responseHooks = [ResponseHook];
+  model.addAllHooksToHttpClient();
+
+  await prompt.pipe(model).invoke({
+    input: "Hello",
+  });
+  // console.log(count);
+  expect(count).toEqual(2);
+
+  model.removeAllHooksFromHttpClient();
+
+  await prompt.pipe(model).invoke({
+    input: "Hello",
+  });
+  // console.log(count);
+  expect(count).toEqual(2);
+});
diff --git a/libs/langchain-mistralai/src/tests/chat_models.test.ts b/libs/langchain-mistralai/src/tests/chat_models.test.ts
index 5577c0f1be91..1d1a894ce196 100644
--- a/libs/langchain-mistralai/src/tests/chat_models.test.ts
+++ b/libs/langchain-mistralai/src/tests/chat_models.test.ts
@@ -2,6 +2,7 @@ import { ChatMistralAI } from "../chat_models.js";
 import {
   _isValidMistralToolCallId,
   _convertToolCallIdToMistralCompatible,
+  _mistralContentChunkToMessageContentComplex,
 } from "../utils.js";
 
 describe("Mistral Tool Call ID Conversion", () => {
diff --git a/libs/langchain-mistralai/src/utils.ts b/libs/langchain-mistralai/src/utils.ts
index e596d66779e8..9c94b6558602 100644
--- a/libs/langchain-mistralai/src/utils.ts
+++ b/libs/langchain-mistralai/src/utils.ts
@@ -53,18 +53,34 @@ export function _mistralContentChunkToMessageContentComplex(
 ): string | MessageContentComplex[] {
   if (!content) {
     return "";
-  };
+  }
   if (typeof content === "string") {
     return content;
-  };
+  }
   return content.map((contentChunk) => {
     // Only Mistral ImageURLChunks need conversion to MessageContentComplex
     if (contentChunk.type === "image_url") {
+      if (
+        typeof contentChunk.imageUrl !== "string" &&
+        contentChunk.imageUrl?.detail
+      ) {
+        const { detail } = contentChunk.imageUrl;
+        // Mistral detail can be any string, but MessageContentComplex only supports
+        // detail to be "high", "auto", or "low"
+        if (detail !== "high" && detail !== "auto" && detail !== "low") {
+          return {
+            type: contentChunk.type,
+            image_url: {
+              url: contentChunk.imageUrl.url,
+            },
+          };
+        }
+      }
       return {
         type: contentChunk.type,
-        image_url: contentChunk.imageUrl
+        image_url: contentChunk.imageUrl,
       };
-    };
+    }
     return contentChunk;
   });
-};
+}

From c3c89aa4e059d90b2718ef1f69c25ac01e0a2471 Mon Sep 17 00:00:00 2001
From: CarterMorris <carter.morris@mail.utoronto.ca>
Date: Sat, 16 Nov 2024 16:19:54 -0500
Subject: [PATCH 343/344] Updated Mistral documentation to cover hook support

Co-authored-by: BaNg-W <BaNg-W@users.noreply.github.com>
---
 .../docs/integrations/chat/mistral.ipynb      | 115 +++++++++++++++++-
 .../docs/integrations/llms/mistral.ipynb      | 103 ++++++++++++++++
 .../text_embedding/mistralai.ipynb            | 103 ++++++++++++++++
 3 files changed, 319 insertions(+), 2 deletions(-)

diff --git a/docs/core_docs/docs/integrations/chat/mistral.ipynb b/docs/core_docs/docs/integrations/chat/mistral.ipynb
index 422f80205fb8..fe3f3aaefc60 100644
--- a/docs/core_docs/docs/integrations/chat/mistral.ipynb
+++ b/docs/core_docs/docs/integrations/chat/mistral.ipynb
@@ -38,7 +38,7 @@
     "\n",
     "| [Tool calling](/docs/how_to/tool_calling) | [Structured output](/docs/how_to/structured_output/) | JSON mode | [Image input](/docs/how_to/multimodal_inputs/) | Audio input | Video input | [Token-level streaming](/docs/how_to/chat_streaming/) | [Token usage](/docs/how_to/chat_token_usage_tracking/) | [Logprobs](/docs/how_to/logprobs/) |\n",
     "| :---: | :---: | :---: | :---: |  :---: | :---: | :---: | :---: | :---: |\n",
-    "| ✅ | ✅ | ✅ | ❌ | ❌ | ❌ | ✅ | ✅ | ❌ | \n",
+    "| ✅ | ✅ | ✅ | ✅ | ❌ | ❌ | ✅ | ✅ | ❌ | \n",
     "\n",
     "## Setup\n",
     "\n",
@@ -88,7 +88,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": null,
    "id": "cb09c344-1836-4e0c-acf8-11d13ac1dbae",
    "metadata": {},
    "outputs": [],
@@ -323,6 +323,117 @@
     "console.log(calcToolRes.tool_calls);"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "85dcbecc",
+   "metadata": {},
+   "source": [
+    "## Hooks\n",
+    "\n",
+    "Mistral AI supports custom hooks for three events: beforeRequest, requestError, and reponse. Examples of the function signature for each hook type can be seen below:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "74b8b855",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "const beforeRequestHook = (req: Request): Request | void | Promise<Request | void> => {\n",
+    "    // Code to run before a request is processed by Mistral\n",
+    "};\n",
+    "\n",
+    "const requestErrorHook = (err: unknown, req: Request): void | Promise<void> => {\n",
+    "    // Code to run when an error occurs as Mistral is processing a request\n",
+    "};\n",
+    "\n",
+    "const responseHook = (res: Response, req: Request): void | Promise<void> => {\n",
+    "    // Code to run before Mistral sends a successful response\n",
+    "};"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "930df6c4",
+   "metadata": {},
+   "source": [
+    "To add these hooks to the chat model, either pass them as arguments and they are automatically added:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "8b8084f6",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import { ChatMistralAI } from \"@langchain/mistralai\" \n",
+    "\n",
+    "const modelWithHooks = new ChatMistralAI({\n",
+    "    model: \"mistral-large-latest\",\n",
+    "    temperature: 0,\n",
+    "    maxRetries: 2,\n",
+    "    beforeRequestHooks: [ beforeRequestHook ],\n",
+    "    requestErrorHooks: [ requestErrorHook ],\n",
+    "    responseHooks: [ responseHook ],\n",
+    "    // other params...\n",
+    "});"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "cc9478f3",
+   "metadata": {},
+   "source": [
+    "Or assign and add them manually after instantiation:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "daa70dc3",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import { ChatMistralAI } from \"@langchain/mistralai\" \n",
+    "\n",
+    "const model = new ChatMistralAI({\n",
+    "    model: \"mistral-large-latest\",\n",
+    "    temperature: 0,\n",
+    "    maxRetries: 2,\n",
+    "    // other params...\n",
+    "});\n",
+    "\n",
+    "model.beforeRequestHooks = [ ...model.beforeRequestHooks, beforeRequestHook ];\n",
+    "model.requestErrorHooks = [ ...model.requestErrorHooks, requestErrorHook ];\n",
+    "model.responseHooks = [ ...model.responseHooks, responseHook ];\n",
+    "\n",
+    "model.addAllHooksToHttpClient();"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "389f5159",
+   "metadata": {},
+   "source": [
+    "The method addAllHooksToHttpClient clears all currently added hooks before assigning the entire updated hook lists to avoid hook duplication.\n",
+    "\n",
+    "Hooks can be removed one at a time, or all hooks can be cleared from the model at once."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "a56b64bb",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "model.removeHookFromHttpClient(beforeRequestHook);\n",
+    "\n",
+    "model.removeAllHooksFromHttpClient();"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "3a5bb5ca-c3ae-4a58-be67-2cd18574b9a3",
diff --git a/docs/core_docs/docs/integrations/llms/mistral.ipynb b/docs/core_docs/docs/integrations/llms/mistral.ipynb
index 587bd1ea784f..15d0637e880b 100644
--- a/docs/core_docs/docs/integrations/llms/mistral.ipynb
+++ b/docs/core_docs/docs/integrations/llms/mistral.ipynb
@@ -271,6 +271,109 @@
     "console.log(customOutputParser(resWithParser));"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Hooks\n",
+    "\n",
+    "Mistral AI supports custom hooks for three events: beforeRequest, requestError, and reponse. Examples of the function signature for each hook type can be seen below:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "const beforeRequestHook = (req: Request): Request | void | Promise<Request | void> => {\n",
+    "    // Code to run before a request is processed by Mistral\n",
+    "};\n",
+    "\n",
+    "const requestErrorHook = (err: unknown, req: Request): void | Promise<void> => {\n",
+    "    // Code to run when an error occurs as Mistral is processing a request\n",
+    "};\n",
+    "\n",
+    "const responseHook = (res: Response, req: Request): void | Promise<void> => {\n",
+    "    // Code to run before Mistral sends a successful response\n",
+    "};"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "To add these hooks to the chat model, either pass them as arguments and they are automatically added:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import { ChatMistralAI } from \"@langchain/mistralai\" \n",
+    "\n",
+    "const modelWithHooks = new ChatMistralAI({\n",
+    "    model: \"mistral-large-latest\",\n",
+    "    temperature: 0,\n",
+    "    maxRetries: 2,\n",
+    "    beforeRequestHooks: [ beforeRequestHook ],\n",
+    "    requestErrorHooks: [ requestErrorHook ],\n",
+    "    responseHooks: [ responseHook ],\n",
+    "    // other params...\n",
+    "});"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Or assign and add them manually after instantiation:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import { ChatMistralAI } from \"@langchain/mistralai\" \n",
+    "\n",
+    "const model = new ChatMistralAI({\n",
+    "    model: \"mistral-large-latest\",\n",
+    "    temperature: 0,\n",
+    "    maxRetries: 2,\n",
+    "    // other params...\n",
+    "});\n",
+    "\n",
+    "model.beforeRequestHooks = [ ...model.beforeRequestHooks, beforeRequestHook ];\n",
+    "model.requestErrorHooks = [ ...model.requestErrorHooks, requestErrorHook ];\n",
+    "model.responseHooks = [ ...model.responseHooks, responseHook ];\n",
+    "\n",
+    "model.addAllHooksToHttpClient();"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The method addAllHooksToHttpClient clears all currently added hooks before assigning the entire updated hook lists to avoid hook duplication.\n",
+    "\n",
+    "Hooks can be removed one at a time, or all hooks can be cleared from the model at once."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "model.removeHookFromHttpClient(beforeRequestHook);\n",
+    "\n",
+    "model.removeAllHooksFromHttpClient();"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "e9bdfcef",
diff --git a/docs/core_docs/docs/integrations/text_embedding/mistralai.ipynb b/docs/core_docs/docs/integrations/text_embedding/mistralai.ipynb
index 360e8fcfcdef..f1184cb6bf39 100644
--- a/docs/core_docs/docs/integrations/text_embedding/mistralai.ipynb
+++ b/docs/core_docs/docs/integrations/text_embedding/mistralai.ipynb
@@ -310,6 +310,109 @@
     "console.log(vectors[1].slice(0, 100));"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Hooks\n",
+    "\n",
+    "Mistral AI supports custom hooks for three events: beforeRequest, requestError, and reponse. Examples of the function signature for each hook type can be seen below:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "const beforeRequestHook = (req: Request): Request | void | Promise<Request | void> => {\n",
+    "    // Code to run before a request is processed by Mistral\n",
+    "};\n",
+    "\n",
+    "const requestErrorHook = (err: unknown, req: Request): void | Promise<void> => {\n",
+    "    // Code to run when an error occurs as Mistral is processing a request\n",
+    "};\n",
+    "\n",
+    "const responseHook = (res: Response, req: Request): void | Promise<void> => {\n",
+    "    // Code to run before Mistral sends a successful response\n",
+    "};"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "To add these hooks to the chat model, either pass them as arguments and they are automatically added:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import { ChatMistralAI } from \"@langchain/mistralai\" \n",
+    "\n",
+    "const modelWithHooks = new ChatMistralAI({\n",
+    "    model: \"mistral-large-latest\",\n",
+    "    temperature: 0,\n",
+    "    maxRetries: 2,\n",
+    "    beforeRequestHooks: [ beforeRequestHook ],\n",
+    "    requestErrorHooks: [ requestErrorHook ],\n",
+    "    responseHooks: [ responseHook ],\n",
+    "    // other params...\n",
+    "});"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Or assign and add them manually after instantiation:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import { ChatMistralAI } from \"@langchain/mistralai\" \n",
+    "\n",
+    "const model = new ChatMistralAI({\n",
+    "    model: \"mistral-large-latest\",\n",
+    "    temperature: 0,\n",
+    "    maxRetries: 2,\n",
+    "    // other params...\n",
+    "});\n",
+    "\n",
+    "model.beforeRequestHooks = [ ...model.beforeRequestHooks, beforeRequestHook ];\n",
+    "model.requestErrorHooks = [ ...model.requestErrorHooks, requestErrorHook ];\n",
+    "model.responseHooks = [ ...model.responseHooks, responseHook ];\n",
+    "\n",
+    "model.addAllHooksToHttpClient();"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The method addAllHooksToHttpClient clears all currently added hooks before assigning the entire updated hook lists to avoid hook duplication.\n",
+    "\n",
+    "Hooks can be removed one at a time, or all hooks can be cleared from the model at once."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "model.removeHookFromHttpClient(beforeRequestHook);\n",
+    "\n",
+    "model.removeAllHooksFromHttpClient();"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "8938e581",

From ceb35c7af36d881953e34d8bd077e6ff2e06fea9 Mon Sep 17 00:00:00 2001
From: CarterMorris <carter.morris@mail.utoronto.ca>
Date: Sat, 16 Nov 2024 16:42:40 -0500
Subject: [PATCH 344/344] Added hook tests for mistral llms and embeddings

---
 .../src/tests/embeddings.int.test.ts          | 194 ++++++++++++++++++
 .../src/tests/llms.int.test.ts                | 194 ++++++++++++++++++
 2 files changed, 388 insertions(+)

diff --git a/libs/langchain-mistralai/src/tests/embeddings.int.test.ts b/libs/langchain-mistralai/src/tests/embeddings.int.test.ts
index 103218b5de33..3f2805bbe51e 100644
--- a/libs/langchain-mistralai/src/tests/embeddings.int.test.ts
+++ b/libs/langchain-mistralai/src/tests/embeddings.int.test.ts
@@ -1,4 +1,5 @@
 import { test } from "@jest/globals";
+import { HTTPClient } from "@mistralai/mistralai/lib/http.js";
 import { MistralAIEmbeddings } from "../embeddings.js";
 
 test("Test MistralAIEmbeddings can embed query", async () => {
@@ -21,3 +22,196 @@ test("Test MistralAIEmbeddings can embed documents", async () => {
   expect(embeddings[0].length).toBe(1024);
   expect(embeddings[1].length).toBe(1024);
 });
+
+test("Test MistralAIEmbeddings can register BeforeRequestHook function", async () => {
+  const model = new MistralAIEmbeddings({
+    model: "mistral-embed",
+  });
+
+  let count = 0;
+  const addCount = () => {
+    count += 1;
+  };
+
+  const beforeRequestHook = (): void => {
+    addCount();
+  };
+  model.beforeRequestHooks = [beforeRequestHook];
+  model.addAllHooksToHttpClient();
+
+  await model.embedQuery("Hello");
+  // console.log(count);
+  expect(count).toEqual(1);
+});
+
+test("Test MistralAIEmbeddings can register RequestErrorHook function", async () => {
+  const fetcher = (): Promise<Response> =>
+    Promise.reject(new Error("Intended fetcher error"));
+  const customHttpClient = new HTTPClient({ fetcher });
+
+  const model = new MistralAIEmbeddings({
+    model: "mistral-embed",
+    httpClient: customHttpClient,
+    maxRetries: 0,
+  });
+
+  let count = 0;
+  const addCount = () => {
+    count += 1;
+  };
+
+  const RequestErrorHook = (): void => {
+    addCount();
+    console.log("In request error hook");
+  };
+  model.requestErrorHooks = [RequestErrorHook];
+  model.addAllHooksToHttpClient();
+
+  try {
+    await model.embedQuery("Hello");
+  } catch (e: unknown) {
+    // Intended error, do not rethrow
+  }
+
+  // console.log(count);
+  expect(count).toEqual(1);
+});
+
+test("Test MistralAIEmbeddings can register ResponseHook function", async () => {
+  const model = new MistralAIEmbeddings({
+    model: "mistral-embed",
+  });
+
+  let count = 0;
+  const addCount = () => {
+    count += 1;
+  };
+
+  const ResponseHook = (): void => {
+    addCount();
+  };
+  model.responseHooks = [ResponseHook];
+  model.addAllHooksToHttpClient();
+
+  await model.embedQuery("Hello");
+  // console.log(count);
+  expect(count).toEqual(1);
+});
+
+test("Test MistralAIEmbeddings can register multiple hook functions with success", async () => {
+  const model = new MistralAIEmbeddings({
+    model: "mistral-embed",
+  });
+
+  let count = 0;
+  const addCount = () => {
+    count += 1;
+  };
+
+  const beforeRequestHook = (): void => {
+    addCount();
+  };
+  const ResponseHook = (): void => {
+    addCount();
+  };
+  model.beforeRequestHooks = [beforeRequestHook];
+  model.responseHooks = [ResponseHook];
+  model.addAllHooksToHttpClient();
+
+  await model.embedQuery("Hello");
+  // console.log(count);
+  expect(count).toEqual(2);
+});
+
+test("Test MistralAIEmbeddings can register multiple hook functions with error", async () => {
+  const fetcher = (): Promise<Response> =>
+    Promise.reject(new Error("Intended fetcher error"));
+  const customHttpClient = new HTTPClient({ fetcher });
+
+  const model = new MistralAIEmbeddings({
+    model: "mistral-embed",
+    httpClient: customHttpClient,
+    maxRetries: 0,
+  });
+
+  let count = 0;
+  const addCount = () => {
+    count += 1;
+  };
+
+  const beforeRequestHook = (): void => {
+    addCount();
+  };
+  const RequestErrorHook = (): void => {
+    addCount();
+  };
+  model.beforeRequestHooks = [beforeRequestHook];
+  model.requestErrorHooks = [RequestErrorHook];
+  model.addAllHooksToHttpClient();
+
+  try {
+    await model.embedQuery("Hello");
+  } catch (e: unknown) {
+    // Intended error, do not rethrow
+  }
+  // console.log(count);
+  expect(count).toEqual(2);
+});
+
+test("Test MistralAIEmbeddings can remove hook", async () => {
+  const model = new MistralAIEmbeddings({
+    model: "mistral-embed",
+  });
+
+  let count = 0;
+  const addCount = () => {
+    count += 1;
+  };
+
+  const beforeRequestHook = (): void => {
+    addCount();
+  };
+  model.beforeRequestHooks = [beforeRequestHook];
+  model.addAllHooksToHttpClient();
+
+  await model.embedQuery("Hello");
+  // console.log(count);
+  expect(count).toEqual(1);
+
+  model.removeHookFromHttpClient(beforeRequestHook);
+
+  await model.embedQuery("Hello");
+  // console.log(count);
+  expect(count).toEqual(1);
+});
+
+test("Test MistralAIEmbeddings can remove all hooks", async () => {
+  const model = new MistralAIEmbeddings({
+    model: "mistral-embed",
+  });
+
+  let count = 0;
+  const addCount = () => {
+    count += 1;
+  };
+
+  const beforeRequestHook = (): void => {
+    addCount();
+  };
+  const ResponseHook = (): void => {
+    addCount();
+  };
+  model.beforeRequestHooks = [beforeRequestHook];
+  model.responseHooks = [ResponseHook];
+  model.addAllHooksToHttpClient();
+
+  await model.embedQuery("Hello");
+  // console.log(count);
+  expect(count).toEqual(2);
+
+  model.removeAllHooksFromHttpClient();
+
+  await model.embedQuery("Hello");
+  // console.log(count);
+  expect(count).toEqual(2);
+});
diff --git a/libs/langchain-mistralai/src/tests/llms.int.test.ts b/libs/langchain-mistralai/src/tests/llms.int.test.ts
index bc51e1404083..5317b2d760ce 100644
--- a/libs/langchain-mistralai/src/tests/llms.int.test.ts
+++ b/libs/langchain-mistralai/src/tests/llms.int.test.ts
@@ -2,6 +2,7 @@
 
 import { test, expect } from "@jest/globals";
 import { CallbackManager } from "@langchain/core/callbacks/manager";
+import { HTTPClient } from "@mistralai/mistralai/lib/http.js";
 import { MistralAI } from "../llms.js";
 
 // Save the original value of the 'LANGCHAIN_CALLBACKS_BACKGROUND' environment variable
@@ -173,3 +174,196 @@ test("Test MistralAI stream method with early break", async () => {
   }
   expect(i).toBeGreaterThan(5);
 });
+
+test("Test MistralAI can register BeforeRequestHook function", async () => {
+  const model = new MistralAI({
+    model: "codestral-latest",
+  });
+
+  let count = 0;
+  const addCount = () => {
+    count += 1;
+  };
+
+  const beforeRequestHook = (): void => {
+    addCount();
+  };
+  model.beforeRequestHooks = [beforeRequestHook];
+  model.addAllHooksToHttpClient();
+
+  await model.invoke("Log 'Hello world' to the console in javascript: .");
+  // console.log(count);
+  expect(count).toEqual(1);
+});
+
+test("Test MistralAI can register RequestErrorHook function", async () => {
+  const fetcher = (): Promise<Response> =>
+    Promise.reject(new Error("Intended fetcher error"));
+  const customHttpClient = new HTTPClient({ fetcher });
+
+  const model = new MistralAI({
+    model: "codestral-latest",
+    httpClient: customHttpClient,
+    maxRetries: 0,
+  });
+
+  let count = 0;
+  const addCount = () => {
+    count += 1;
+  };
+
+  const RequestErrorHook = (): void => {
+    addCount();
+    console.log("In request error hook");
+  };
+  model.requestErrorHooks = [RequestErrorHook];
+  model.addAllHooksToHttpClient();
+
+  try {
+    await model.invoke("Log 'Hello world' to the console in javascript: .");
+  } catch (e: unknown) {
+    // Intended error, do not rethrow
+  }
+
+  // console.log(count);
+  expect(count).toEqual(1);
+});
+
+test("Test MistralAI can register ResponseHook function", async () => {
+  const model = new MistralAI({
+    model: "codestral-latest",
+  });
+
+  let count = 0;
+  const addCount = () => {
+    count += 1;
+  };
+
+  const ResponseHook = (): void => {
+    addCount();
+  };
+  model.responseHooks = [ResponseHook];
+  model.addAllHooksToHttpClient();
+
+  await model.invoke("Log 'Hello world' to the console in javascript: .");
+  // console.log(count);
+  expect(count).toEqual(1);
+});
+
+test("Test MistralAI can register multiple hook functions with success", async () => {
+  const model = new MistralAI({
+    model: "codestral-latest",
+  });
+
+  let count = 0;
+  const addCount = () => {
+    count += 1;
+  };
+
+  const beforeRequestHook = (): void => {
+    addCount();
+  };
+  const ResponseHook = (): void => {
+    addCount();
+  };
+  model.beforeRequestHooks = [beforeRequestHook];
+  model.responseHooks = [ResponseHook];
+  model.addAllHooksToHttpClient();
+
+  await model.invoke("Log 'Hello world' to the console in javascript: ");
+  // console.log(count);
+  expect(count).toEqual(2);
+});
+
+test("Test MistralAI can register multiple hook functions with error", async () => {
+  const fetcher = (): Promise<Response> =>
+    Promise.reject(new Error("Intended fetcher error"));
+  const customHttpClient = new HTTPClient({ fetcher });
+
+  const model = new MistralAI({
+    model: "codestral-latest",
+    httpClient: customHttpClient,
+    maxRetries: 0,
+  });
+
+  let count = 0;
+  const addCount = () => {
+    count += 1;
+  };
+
+  const beforeRequestHook = (): void => {
+    addCount();
+  };
+  const RequestErrorHook = (): void => {
+    addCount();
+  };
+  model.beforeRequestHooks = [beforeRequestHook];
+  model.requestErrorHooks = [RequestErrorHook];
+  model.addAllHooksToHttpClient();
+
+  try {
+    await model.invoke("Log 'Hello world' to the console in javascript: ");
+  } catch (e: unknown) {
+    // Intended error, do not rethrow
+  }
+  // console.log(count);
+  expect(count).toEqual(2);
+});
+
+test("Test MistralAI can remove hook", async () => {
+  const model = new MistralAI({
+    model: "codestral-latest",
+  });
+
+  let count = 0;
+  const addCount = () => {
+    count += 1;
+  };
+
+  const beforeRequestHook = (): void => {
+    addCount();
+  };
+  model.beforeRequestHooks = [beforeRequestHook];
+  model.addAllHooksToHttpClient();
+
+  await model.invoke("Log 'Hello world' to the console in javascript: ");
+  // console.log(count);
+  expect(count).toEqual(1);
+
+  model.removeHookFromHttpClient(beforeRequestHook);
+
+  await model.invoke("Log 'Hello world' to the console in javascript: ");
+  // console.log(count);
+  expect(count).toEqual(1);
+});
+
+test("Test MistralAI can remove all hooks", async () => {
+  const model = new MistralAI({
+    model: "codestral-latest",
+  });
+
+  let count = 0;
+  const addCount = () => {
+    count += 1;
+  };
+
+  const beforeRequestHook = (): void => {
+    addCount();
+  };
+  const ResponseHook = (): void => {
+    addCount();
+  };
+  model.beforeRequestHooks = [beforeRequestHook];
+  model.responseHooks = [ResponseHook];
+  model.addAllHooksToHttpClient();
+
+  await model.invoke("Log 'Hello world' to the console in javascript: ");
+  // console.log(count);
+  expect(count).toEqual(2);
+
+  model.removeAllHooksFromHttpClient();
+
+  await model.invoke("Log 'Hello world' to the console in javascript: ");
+  // console.log(count);
+  expect(count).toEqual(2);
+});