From 153dafffec43ee351e538fafd0b4fa46cfcee9c5 Mon Sep 17 00:00:00 2001
From: TeCHiScy <741195+TeCHiScy@users.noreply.github.com>
Date: Sat, 1 Jun 2024 07:23:59 +0800
Subject: [PATCH] community[minor]: Add support for Tencent Hunyuan Chat Model
 and Embeddings (#5476)

* community: Add support for Tencent Hunyuan chat model and embeddings

Tencent provides its Hunyuan chat model and embeddings through Tencent cloud. This PR adds support for the [chat model](https://cloud.tencent.com/document/product/1729/105701) as well as [embedding](https://cloud.tencent.com/document/product/1729/102832).

* community[minor]: Add support for Tencent Hunyuan Chat Model and Embeddings

* refactor Chat Model streaming implementation with AsyncGenerator
* update stream example

* community[minor]: Add support for Tencent Hunyuan Chat Model and Embeddings

* make host configurable

* community[minor]: Add support for Tencent Hunyuan Chat Model and Embeddings

* support both nodejs and browser environment
* update documents and examples

* community[minor]: Add support for Tencent Hunyuan Chat Model and Embeddings

* make separate chat model and embedding entrypoints for web vs. node

* community[minor]: Add support for Tencent Hunyuan Chat Model and Embeddings

* rename docs sidebar name

* community[minor]: Add support for Tencent Hunyuan Chat Model and Embeddings

* format code

* Update build, lint, format

* Type export

---------

Co-authored-by: jacoblee93 <jacoblee93@gmail.com>
---
 ...pto-js-npm-4.2.2-21357d525e-727daa0d2d.zip | Bin 0 -> 19490 bytes
 .../docs/integrations/chat/index.mdx          |   1 +
 .../integrations/chat/tencent_hunyuan.mdx     |  41 ++
 .../text_embedding/tencent_hunyuan.mdx        |  38 ++
 .../chat/integration_tencent_hunyuan.ts       | 111 ++++
 .../src/models/embeddings/tencent_hunyuan.ts  |  13 +
 libs/langchain-community/.gitignore           |  16 +
 libs/langchain-community/langchain.config.js  |   8 +
 libs/langchain-community/package.json         |  58 ++
 .../src/chat_models/tencent_hunyuan/base.ts   | 552 ++++++++++++++++++
 .../src/chat_models/tencent_hunyuan/index.ts  |  44 ++
 .../src/chat_models/tencent_hunyuan/web.ts    |  43 ++
 .../tests/chattencenthunyuan.int.test.ts      | 142 +++++
 .../src/embeddings/tencent_hunyuan/base.ts    | 194 ++++++
 .../src/embeddings/tencent_hunyuan/index.ts   |  16 +
 .../src/embeddings/tencent_hunyuan/web.ts     |  16 +
 .../embeddings/tests/tencent_hunyuan.test.ts  |  32 +
 .../src/load/import_constants.ts              |   4 +
 .../src/load/import_type.ts                   |   2 +
 .../src/utils/tencent_hunyuan/common.ts       |  31 +
 .../src/utils/tencent_hunyuan/index.ts        |  47 ++
 .../src/utils/tencent_hunyuan/web.ts          |  39 ++
 yarn.lock                                     |  12 +
 23 files changed, 1460 insertions(+)
 create mode 100644 .yarn/cache/@types-crypto-js-npm-4.2.2-21357d525e-727daa0d2d.zip
 create mode 100644 docs/core_docs/docs/integrations/chat/tencent_hunyuan.mdx
 create mode 100644 docs/core_docs/docs/integrations/text_embedding/tencent_hunyuan.mdx
 create mode 100644 examples/src/models/chat/integration_tencent_hunyuan.ts
 create mode 100644 examples/src/models/embeddings/tencent_hunyuan.ts
 create mode 100644 libs/langchain-community/src/chat_models/tencent_hunyuan/base.ts
 create mode 100644 libs/langchain-community/src/chat_models/tencent_hunyuan/index.ts
 create mode 100644 libs/langchain-community/src/chat_models/tencent_hunyuan/web.ts
 create mode 100644 libs/langchain-community/src/chat_models/tests/chattencenthunyuan.int.test.ts
 create mode 100644 libs/langchain-community/src/embeddings/tencent_hunyuan/base.ts
 create mode 100644 libs/langchain-community/src/embeddings/tencent_hunyuan/index.ts
 create mode 100644 libs/langchain-community/src/embeddings/tencent_hunyuan/web.ts
 create mode 100644 libs/langchain-community/src/embeddings/tests/tencent_hunyuan.test.ts
 create mode 100644 libs/langchain-community/src/utils/tencent_hunyuan/common.ts
 create mode 100644 libs/langchain-community/src/utils/tencent_hunyuan/index.ts
 create mode 100644 libs/langchain-community/src/utils/tencent_hunyuan/web.ts

diff --git a/.yarn/cache/@types-crypto-js-npm-4.2.2-21357d525e-727daa0d2d.zip b/.yarn/cache/@types-crypto-js-npm-4.2.2-21357d525e-727daa0d2d.zip
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diff --git a/docs/core_docs/docs/integrations/chat/index.mdx b/docs/core_docs/docs/integrations/chat/index.mdx
index 15413c67fd79..51ba69379288 100644
--- a/docs/core_docs/docs/integrations/chat/index.mdx
+++ b/docs/core_docs/docs/integrations/chat/index.mdx
@@ -43,6 +43,7 @@ The table shows, for each integration, which features have been implemented with
 | ChatMistralAI           |   ✅   |   ❌   |  ✅   |        ❌        |      ✅      |            ✅            |
 | ChatOllama              |   ✅   |   ✅   |  ✅   |        ❌        |      ❌      |            ❌            |
 | ChatOpenAI              |   ✅   |   ✅   |  ✅   |        ✅        |      ✅      |            ✅            |
+| ChatTencentHunyuan      |   ✅   |   ✅   |  ✅   |        ❌        |      ❌      |            ❌            |
 | ChatTogetherAI          |   ✅   |   ✅   |  ✅   |        ❌        |      ❌      |            ❌            |
 | ChatYandexGPT           |   ✅   |   ❌   |  ✅   |        ❌        |      ❌      |            ❌            |
 | ChatZhipuAI             |   ✅   |   ❌   |  ✅   |        ❌        |      ❌      |            ❌            |
diff --git a/docs/core_docs/docs/integrations/chat/tencent_hunyuan.mdx b/docs/core_docs/docs/integrations/chat/tencent_hunyuan.mdx
new file mode 100644
index 000000000000..339cd7af9bd5
--- /dev/null
+++ b/docs/core_docs/docs/integrations/chat/tencent_hunyuan.mdx
@@ -0,0 +1,41 @@
+---
+sidebar_label: Tencent Hunyuan
+---
+
+import CodeBlock from "@theme/CodeBlock";
+
+# ChatTencentHunyuan
+
+LangChain.js supports the Tencent Hunyuan family of models.
+
+https://cloud.tencent.com/document/product/1729/104753
+
+## Setup
+
+1. Sign up for a Tencent Cloud account [here](https://cloud.tencent.com/register).
+2. Create SecretID & SecretKey [here](https://console.cloud.tencent.com/cam/capi).
+3. Set SecretID and SecretKey as environment variables named `TENCENT_SECRET_ID` and `TENCENT_SECRET_KEY`, respectively.
+
+import IntegrationInstallTooltip from "@mdx_components/integration_install_tooltip.mdx";
+
+<IntegrationInstallTooltip></IntegrationInstallTooltip>
+
+```bash npm2yarn
+npm install @langchain/community
+```
+
+If you are using LangChain.js in a browser environment, you'll also need to install the following dependencies:
+
+```bash npm2yarn
+npm install crypto-js
+```
+
+And then make sure that you import from the `web` as shown below.
+
+## Usage
+
+Here's an example:
+
+import TencentHunyuan from "@examples/models/chat/integration_tencent_hunyuan.ts";
+
+<CodeBlock language="typescript">{TencentHunyuan}</CodeBlock>
diff --git a/docs/core_docs/docs/integrations/text_embedding/tencent_hunyuan.mdx b/docs/core_docs/docs/integrations/text_embedding/tencent_hunyuan.mdx
new file mode 100644
index 000000000000..0020db655ba8
--- /dev/null
+++ b/docs/core_docs/docs/integrations/text_embedding/tencent_hunyuan.mdx
@@ -0,0 +1,38 @@
+---
+sidebar_label: Tencent Hunyuan
+---
+
+# TencentHunyuan
+
+The `TencentHunyuanEmbeddings` class uses the Tencent Hunyuan API to generate embeddings for a given text.
+
+## Setup
+
+1. Sign up for a Tencent Cloud account [here](https://cloud.tencent.com/register).
+2. Create SecretID & SecretKey [here](https://console.cloud.tencent.com/cam/capi).
+3. Set SecretID and SecretKey as environment variables named `TENCENT_SECRET_ID` and `TENCENT_SECRET_KEY`, respectively.
+
+import IntegrationInstallTooltip from "@mdx_components/integration_install_tooltip.mdx";
+
+<IntegrationInstallTooltip></IntegrationInstallTooltip>
+
+```bash npm2yarn
+npm install @langchain/community
+```
+
+If you are using LangChain.js in a browser environment, you'll also need to install the following dependencies:
+
+```bash npm2yarn
+npm install crypto-js
+```
+
+And then make sure that you import from the `web` as shown below.
+
+## Usage
+
+Here's an example:
+
+import CodeBlock from "@theme/CodeBlock";
+import TencentHunyuan from "@examples/models/embeddings/tencent_hunyuan.ts";
+
+<CodeBlock language="typescript">{TencentHunyuan}</CodeBlock>
diff --git a/examples/src/models/chat/integration_tencent_hunyuan.ts b/examples/src/models/chat/integration_tencent_hunyuan.ts
new file mode 100644
index 000000000000..31da4272f57f
--- /dev/null
+++ b/examples/src/models/chat/integration_tencent_hunyuan.ts
@@ -0,0 +1,111 @@
+// in nodejs environment
+import { ChatTencentHunyuan } from "@langchain/community/chat_models/tencent_hunyuan";
+
+// in browser environment
+// import { ChatTencentHunyuan } from "@langchain/community/chat_models/tencent_hunyuan/web";
+
+import { HumanMessage } from "@langchain/core/messages";
+import type { LLMResult } from "@langchain/core/outputs";
+
+const messages = [new HumanMessage("Hello")];
+
+// Default model is hunyuan-pro
+const hunyuanPro = new ChatTencentHunyuan({
+  streaming: false,
+  temperature: 1,
+});
+
+let res = await hunyuanPro.invoke(messages);
+console.log(res);
+/*
+AIMessage {
+  content: 'Hello! How can I help you today?Is there anything I can do for you?',
+  name: undefined,
+  additional_kwargs: {},
+  response_metadata: {
+    tokenUsage: { totalTokens: 20, promptTokens: 1, completionTokens: 19 }
+  },
+  tool_calls: [],
+  invalid_tool_calls: []
+}
+*/
+
+// Use hunyuan-lite
+const hunyuanLite = new ChatTencentHunyuan({
+  model: "hunyuan-lite",
+  streaming: false,
+});
+
+res = await hunyuanLite.invoke(messages);
+console.log(res);
+/*
+AIMessage {
+  content: '你好！很高兴为你提供服务~有什么我可以帮助你的吗？',
+  name: undefined,
+  additional_kwargs: {},
+  response_metadata: {
+    tokenUsage: { totalTokens: 14, promptTokens: 1, completionTokens: 13 }
+  },
+  tool_calls: [],
+  invalid_tool_calls: []
+}
+*/
+
+// Use hunyuan-lite with streaming
+const hunyuanLiteStream = new ChatTencentHunyuan({
+  model: "hunyuan-lite",
+  streaming: true,
+  temperature: 1,
+});
+
+hunyuanLiteStream.invoke(messages, {
+  callbacks: [
+    {
+      handleLLMEnd(output: LLMResult) {
+        console.log(output);
+        /*
+        {
+          generations: [
+            [
+              [Object], [Object],
+              [Object], [Object],
+              [Object], [Object],
+              [Object], [Object],
+              [Object]
+            ]
+          ],
+          llmOutput: {
+            tokenUsage: { totalTokens: 9, promptTokens: 1, completionTokens: 8 }
+          }
+        }
+      */
+      },
+      handleLLMNewToken(token: string) {
+        console.log(`token: ${token}`);
+        /*
+        token: 你好
+        token: ！
+        token: 很高兴
+        token: 能
+        token: 为您
+        token: 解答
+        token: 问题
+        token: 和建议
+        token: 方案
+        token: .
+        token:  如果您
+        token: 有其他
+        token: 需要帮助
+        token: 的地方
+        token: ,
+        token:
+        token: 随时
+        token: 告诉我
+        token: 哦
+        token: ~
+        token:
+        */
+      },
+    },
+  ],
+});
diff --git a/examples/src/models/embeddings/tencent_hunyuan.ts b/examples/src/models/embeddings/tencent_hunyuan.ts
new file mode 100644
index 000000000000..123a5930579d
--- /dev/null
+++ b/examples/src/models/embeddings/tencent_hunyuan.ts
@@ -0,0 +1,13 @@
+// in nodejs environment
+import { TencentHunyuanEmbeddings } from "@langchain/community/embeddings/tencent_hunyuan";
+
+// in browser environment
+// import { TencentHunyuanEmbeddings } from "@langchain/community/embeddings/tencent_hunyuan/web";
+
+/* Embed queries */
+const embeddings = new TencentHunyuanEmbeddings();
+const res = await embeddings.embedQuery("你好，世界！");
+console.log(res);
+/* Embed documents */
+const documentRes = await embeddings.embedDocuments(["你好，世界！", "再见"]);
+console.log({ documentRes });
diff --git a/libs/langchain-community/.gitignore b/libs/langchain-community/.gitignore
index 3932edf88b61..bad275d50cf4 100644
--- a/libs/langchain-community/.gitignore
+++ b/libs/langchain-community/.gitignore
@@ -190,6 +190,14 @@ embeddings/tensorflow.cjs
 embeddings/tensorflow.js
 embeddings/tensorflow.d.ts
 embeddings/tensorflow.d.cts
+embeddings/tencent_hunyuan.cjs
+embeddings/tencent_hunyuan.js
+embeddings/tencent_hunyuan.d.ts
+embeddings/tencent_hunyuan.d.cts
+embeddings/tencent_hunyuan/web.cjs
+embeddings/tencent_hunyuan/web.js
+embeddings/tencent_hunyuan/web.d.ts
+embeddings/tencent_hunyuan/web.d.cts
 embeddings/togetherai.cjs
 embeddings/togetherai.js
 embeddings/togetherai.d.ts
@@ -554,6 +562,14 @@ chat_models/premai.cjs
 chat_models/premai.js
 chat_models/premai.d.ts
 chat_models/premai.d.cts
+chat_models/tencent_hunyuan.cjs
+chat_models/tencent_hunyuan.js
+chat_models/tencent_hunyuan.d.ts
+chat_models/tencent_hunyuan.d.cts
+chat_models/tencent_hunyuan/web.cjs
+chat_models/tencent_hunyuan/web.js
+chat_models/tencent_hunyuan/web.d.ts
+chat_models/tencent_hunyuan/web.d.cts
 chat_models/togetherai.cjs
 chat_models/togetherai.js
 chat_models/togetherai.d.ts
diff --git a/libs/langchain-community/langchain.config.js b/libs/langchain-community/langchain.config.js
index 12b94735c697..d5c4c6b15eb3 100644
--- a/libs/langchain-community/langchain.config.js
+++ b/libs/langchain-community/langchain.config.js
@@ -81,6 +81,8 @@ export const config = {
     "embeddings/ollama": "embeddings/ollama",
     "embeddings/premai": "embeddings/premai",
     "embeddings/tensorflow": "embeddings/tensorflow",
+    "embeddings/tencent_hunyuan": "embeddings/tencent_hunyuan/index",
+    "embeddings/tencent_hunyuan/web": "embeddings/tencent_hunyuan/web",
     "embeddings/togetherai": "embeddings/togetherai",
     "embeddings/voyage": "embeddings/voyage",
     "embeddings/zhipuai": "embeddings/zhipuai",
@@ -175,6 +177,8 @@ export const config = {
     "chat_models/ollama": "chat_models/ollama",
     "chat_models/portkey": "chat_models/portkey",
     "chat_models/premai": "chat_models/premai",
+    "chat_models/tencent_hunyuan": "chat_models/tencent_hunyuan/index",
+    "chat_models/tencent_hunyuan/web": "chat_models/tencent_hunyuan/web",
     "chat_models/togetherai": "chat_models/togetherai",
     "chat_models/webllm": "chat_models/webllm",
     "chat_models/yandex": "chat_models/yandex",
@@ -333,6 +337,8 @@ export const config = {
     "embeddings/llama_cpp",
     "embeddings/gradient_ai",
     "embeddings/premai",
+    "embeddings/tencent_hunyuan",
+    "embeddings/tencent_hunyuan/web",
     "embeddings/zhipuai",
     "llms/load",
     "llms/cohere",
@@ -402,6 +408,8 @@ export const config = {
     "chat_models/llama_cpp",
     "chat_models/portkey",
     "chat_models/premai",
+    "chat_models/tencent_hunyuan",
+    "chat_models/tencent_hunyuan/web",
     "chat_models/iflytek_xinghuo",
     "chat_models/iflytek_xinghuo/web",
     "chat_models/webllm",
diff --git a/libs/langchain-community/package.json b/libs/langchain-community/package.json
index bb7a4876f2d2..d516808070e7 100644
--- a/libs/langchain-community/package.json
+++ b/libs/langchain-community/package.json
@@ -112,6 +112,7 @@
     "@tensorflow/tfjs-core": "^3.6.0",
     "@tsconfig/recommended": "^1.0.2",
     "@types/better-sqlite3": "^7.6.9",
+    "@types/crypto-js": "^4.2.2",
     "@types/flat": "^5.0.2",
     "@types/html-to-text": "^9",
     "@types/jsdom": "^21.1.1",
@@ -147,6 +148,7 @@
     "cohere-ai": ">=6.0.0",
     "convex": "^1.3.1",
     "couchbase": "^4.3.0",
+    "crypto-js": "^4.2.0",
     "d3-dsv": "^2.0.0",
     "datastore-core": "^9.2.9",
     "discord.js": "^14.14.1",
@@ -286,6 +288,7 @@
     "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",
     "dria": "^0.0.3",
@@ -549,6 +552,9 @@
     "couchbase": {
       "optional": true
     },
+    "crypto-js": {
+      "optional": true
+    },
     "d3-dsv": {
       "optional": true
     },
@@ -1130,6 +1136,24 @@
       "import": "./embeddings/tensorflow.js",
       "require": "./embeddings/tensorflow.cjs"
     },
+    "./embeddings/tencent_hunyuan": {
+      "types": {
+        "import": "./embeddings/tencent_hunyuan.d.ts",
+        "require": "./embeddings/tencent_hunyuan.d.cts",
+        "default": "./embeddings/tencent_hunyuan.d.ts"
+      },
+      "import": "./embeddings/tencent_hunyuan.js",
+      "require": "./embeddings/tencent_hunyuan.cjs"
+    },
+    "./embeddings/tencent_hunyuan/web": {
+      "types": {
+        "import": "./embeddings/tencent_hunyuan/web.d.ts",
+        "require": "./embeddings/tencent_hunyuan/web.d.cts",
+        "default": "./embeddings/tencent_hunyuan/web.d.ts"
+      },
+      "import": "./embeddings/tencent_hunyuan/web.js",
+      "require": "./embeddings/tencent_hunyuan/web.cjs"
+    },
     "./embeddings/togetherai": {
       "types": {
         "import": "./embeddings/togetherai.d.ts",
@@ -1949,6 +1973,24 @@
       "import": "./chat_models/premai.js",
       "require": "./chat_models/premai.cjs"
     },
+    "./chat_models/tencent_hunyuan": {
+      "types": {
+        "import": "./chat_models/tencent_hunyuan.d.ts",
+        "require": "./chat_models/tencent_hunyuan.d.cts",
+        "default": "./chat_models/tencent_hunyuan.d.ts"
+      },
+      "import": "./chat_models/tencent_hunyuan.js",
+      "require": "./chat_models/tencent_hunyuan.cjs"
+    },
+    "./chat_models/tencent_hunyuan/web": {
+      "types": {
+        "import": "./chat_models/tencent_hunyuan/web.d.ts",
+        "require": "./chat_models/tencent_hunyuan/web.d.cts",
+        "default": "./chat_models/tencent_hunyuan/web.d.ts"
+      },
+      "import": "./chat_models/tencent_hunyuan/web.js",
+      "require": "./chat_models/tencent_hunyuan/web.cjs"
+    },
     "./chat_models/togetherai": {
       "types": {
         "import": "./chat_models/togetherai.d.ts",
@@ -3153,6 +3195,14 @@
     "embeddings/tensorflow.js",
     "embeddings/tensorflow.d.ts",
     "embeddings/tensorflow.d.cts",
+    "embeddings/tencent_hunyuan.cjs",
+    "embeddings/tencent_hunyuan.js",
+    "embeddings/tencent_hunyuan.d.ts",
+    "embeddings/tencent_hunyuan.d.cts",
+    "embeddings/tencent_hunyuan/web.cjs",
+    "embeddings/tencent_hunyuan/web.js",
+    "embeddings/tencent_hunyuan/web.d.ts",
+    "embeddings/tencent_hunyuan/web.d.cts",
     "embeddings/togetherai.cjs",
     "embeddings/togetherai.js",
     "embeddings/togetherai.d.ts",
@@ -3517,6 +3567,14 @@
     "chat_models/premai.js",
     "chat_models/premai.d.ts",
     "chat_models/premai.d.cts",
+    "chat_models/tencent_hunyuan.cjs",
+    "chat_models/tencent_hunyuan.js",
+    "chat_models/tencent_hunyuan.d.ts",
+    "chat_models/tencent_hunyuan.d.cts",
+    "chat_models/tencent_hunyuan/web.cjs",
+    "chat_models/tencent_hunyuan/web.js",
+    "chat_models/tencent_hunyuan/web.d.ts",
+    "chat_models/tencent_hunyuan/web.d.cts",
     "chat_models/togetherai.cjs",
     "chat_models/togetherai.js",
     "chat_models/togetherai.d.ts",
diff --git a/libs/langchain-community/src/chat_models/tencent_hunyuan/base.ts b/libs/langchain-community/src/chat_models/tencent_hunyuan/base.ts
new file mode 100644
index 000000000000..cb6474703290
--- /dev/null
+++ b/libs/langchain-community/src/chat_models/tencent_hunyuan/base.ts
@@ -0,0 +1,552 @@
+import {
+  BaseChatModel,
+  type BaseChatModelParams,
+} from "@langchain/core/language_models/chat_models";
+import {
+  AIMessage,
+  BaseMessage,
+  ChatMessage,
+  AIMessageChunk,
+} from "@langchain/core/messages";
+import {
+  ChatGeneration,
+  ChatResult,
+  ChatGenerationChunk,
+} from "@langchain/core/outputs";
+import { CallbackManagerForLLMRun } from "@langchain/core/callbacks/manager";
+import { getEnvironmentVariable } from "@langchain/core/utils/env";
+import { IterableReadableStream } from "@langchain/core/utils/stream";
+import { sign } from "../../utils/tencent_hunyuan/common.js";
+
+/**
+ * Type representing the role of a message in the Hunyuan chat model.
+ */
+export type HunyuanMessageRole = "system" | "assistant" | "user";
+
+/**
+ * Interface representing a message in the Hunyuan chat model.
+ */
+interface HunyuanMessage {
+  Role: HunyuanMessageRole;
+  Content: string;
+}
+
+/**
+ * Models available, see https://cloud.tencent.com/document/product/1729/104753.
+ */
+type ModelName =
+  | (string & NonNullable<unknown>)
+  // hunyuan-lite
+  | "hunyuan-lite" // context size: 4k, input size: 3k, output size: 1k
+  // hunyuan-standard
+  | "hunyuan-standard" // alias for hunyuan-standard-32K
+  | "hunyuan-standard-32K" // context size: 32k, input size: 30k, output size: 2k
+  | "hunyuan-standard-256K" // context size: 256k, input size: 250k, output size: 6k
+  // hunyuan-pro
+  | "hunyuan-pro"; // context size: 32k, input size: 28k, output size: 4k
+
+/**
+ * Interface representing the usage of tokens in a chat completion.
+ * See https://cloud.tencent.com/document/api/1729/101838#Usage.
+ */
+interface Usage {
+  TotalTokens?: number;
+  PromptTokens?: number;
+  CompletionTokens?: number;
+}
+
+/**
+ * Interface representing a request for a chat completion.
+ * See https://cloud.tencent.com/document/api/1729/105701.
+ */
+interface ChatCompletionRequest {
+  Model: ModelName;
+  Messages: HunyuanMessage[];
+  Stream?: boolean;
+  StreamModeration?: boolean;
+  EnableEnhancement?: boolean;
+  Temperature?: number;
+  TopP?: number;
+}
+
+/**
+ * Interface representing a chat completion choice message.
+ * See https://cloud.tencent.com/document/api/1729/101838#Message.
+ */
+interface ChoiceMessage {
+  Role: string;
+  Content: string;
+}
+
+/**
+ * Interface representing a chat completion choice.
+ * See https://cloud.tencent.com/document/api/1729/101838#Choice.
+ */
+interface Choice {
+  FinishReason: "stop" | "sensitive" | "";
+  Delta: ChoiceMessage;
+  Message: ChoiceMessage;
+}
+
+/**
+ * Interface representing a error response from a chat completion.
+ */
+interface Error {
+  Code: string;
+  Message: string;
+}
+
+/**
+ * Interface representing a response from a chat completion.
+ * See https://cloud.tencent.com/document/product/1729/105701.
+ */
+interface ChatCompletionResponse {
+  Created: number;
+  Usage: Usage;
+  Note: string;
+  Choices: Choice[];
+  Id?: string;
+  RequestId?: string;
+  Error?: Error;
+  ErrorMsg?: Error;
+}
+
+/**
+ * Interface defining the input to the ChatTencentHunyuan class.
+ */
+export interface TencentHunyuanChatInput {
+  /**
+   * Tencent Cloud API Host.
+   * @default "hunyuan.tencentcloudapi.com"
+   */
+  host?: string;
+
+  /**
+   * Model name to use.
+   * @default "hunyuan-pro"
+   */
+  model: ModelName;
+
+  /**
+   * Whether to stream the results or not. Defaults to false.
+   * @default false
+   */
+  streaming?: boolean;
+
+  /**
+   * SecretID to use when making requests, can be obtained from https://console.cloud.tencent.com/cam/capi.
+   * Defaults to the value of `TENCENT_SECRET_ID` environment variable.
+   */
+  tencentSecretId?: string;
+
+  /**
+   * Secret key to use when making requests, can be obtained from https://console.cloud.tencent.com/cam/capi.
+   * Defaults to the value of `TENCENT_SECRET_KEY` environment variable.
+   */
+  tencentSecretKey?: string;
+
+  /**
+   * Amount of randomness injected into the response. Ranges
+   * from 0.0 to 2.0. Use temp closer to 0 for analytical /
+   * multiple choice, and temp closer to 1 for creative
+   * and generative tasks. Defaults to 1.0.95.
+   */
+  temperature?: number;
+
+  /**
+   * Total probability mass of tokens to consider at each step. Range
+   * from 0 to 1.0. Defaults to 1.0.
+   */
+  topP?: number;
+}
+
+/**
+ * Interface defining the input to the ChatTencentHunyuan class.
+ */
+interface TencentHunyuanChatInputWithSign extends TencentHunyuanChatInput {
+  /**
+   * Tencent Cloud API v3 sign method.
+   */
+  sign: sign;
+}
+
+/**
+ * Function that converts a base message to a Hunyuan message role.
+ * @param message Base message to convert.
+ * @returns The Hunyuan message role.
+ */
+function messageToRole(message: BaseMessage): HunyuanMessageRole {
+  const type = message._getType();
+  switch (type) {
+    case "ai":
+      return "assistant";
+    case "human":
+      return "user";
+    case "system":
+      return "system";
+    case "function":
+      throw new Error("Function messages not supported");
+    case "generic": {
+      if (!ChatMessage.isInstance(message)) {
+        throw new Error("Invalid generic chat message");
+      }
+      if (["system", "assistant", "user"].includes(message.role)) {
+        return message.role as HunyuanMessageRole;
+      }
+      throw new Error(`Unknown message role: ${message.role}`);
+    }
+    default:
+      throw new Error(`Unknown message type: ${type}`);
+  }
+}
+
+/**
+ * Wrapper around Tencent Hunyuan large language models that use the Chat endpoint.
+ *
+ * To use you should have the `TENCENT_SECRET_ID` and `TENCENT_SECRET_KEY`
+ * environment variable set.
+ *
+ * @augments BaseLLM
+ * @augments TencentHunyuanInput
+ * @example
+ * ```typescript
+ * const messages = [new HumanMessage("Hello")];
+ *
+ * const hunyuanLite = new ChatTencentHunyuan({
+ *   model: "hunyuan-lite",
+ *   tencentSecretId: "YOUR-SECRET-ID",
+ *   tencentSecretKey: "YOUR-SECRET-KEY",
+ * });
+ *
+ * let res = await hunyuanLite.call(messages);
+ *
+ * const hunyuanPro = new ChatTencentHunyuan({
+ *   model: "hunyuan-pro",
+ *   temperature: 1,
+ *   tencentSecretId: "YOUR-SECRET-ID",
+ *   tencentSecretKey: "YOUR-SECRET-KEY",
+ * });
+ *
+ * res = await hunyuanPro.call(messages);
+ * ```
+ */
+export class ChatTencentHunyuan
+  extends BaseChatModel
+  implements TencentHunyuanChatInputWithSign
+{
+  static lc_name() {
+    return "ChatTencentHunyuan";
+  }
+
+  get callKeys(): string[] {
+    return ["stop", "signal", "options"];
+  }
+
+  get lc_secrets(): { [key: string]: string } | undefined {
+    return {
+      tencentSecretId: "TENCENT_SECRET_ID",
+      tencentSecretKey: "TENCENT_SECRET_KEY",
+    };
+  }
+
+  get lc_aliases(): { [key: string]: string } | undefined {
+    return undefined;
+  }
+
+  lc_serializable = true;
+
+  tencentSecretId?: string;
+
+  tencentSecretKey?: string;
+
+  streaming = false;
+
+  host = "hunyuan.tencentcloudapi.com";
+
+  model = "hunyuan-pro";
+
+  temperature?: number | undefined;
+
+  topP?: number | undefined;
+
+  sign: sign;
+
+  constructor(
+    fields?: Partial<TencentHunyuanChatInputWithSign> & BaseChatModelParams
+  ) {
+    super(fields ?? {});
+
+    this.tencentSecretId =
+      fields?.tencentSecretId ?? getEnvironmentVariable("TENCENT_SECRET_ID");
+    if (!this.tencentSecretId) {
+      throw new Error("Tencent SecretID not found");
+    }
+
+    this.tencentSecretKey =
+      fields?.tencentSecretKey ?? getEnvironmentVariable("TENCENT_SECRET_KEY");
+    if (!this.tencentSecretKey) {
+      throw new Error("Tencent SecretKey not found");
+    }
+
+    this.host = fields?.host ?? this.host;
+    this.topP = fields?.topP ?? this.topP;
+    this.model = fields?.model ?? this.model;
+    this.streaming = fields?.streaming ?? this.streaming;
+    this.temperature = fields?.temperature ?? this.temperature;
+    if (!fields?.sign) {
+      throw new Error("Sign method undefined");
+    }
+    this.sign = fields?.sign;
+  }
+
+  /**
+   * Get the parameters used to invoke the model
+   */
+  invocationParams(): Omit<ChatCompletionRequest, "Messages"> {
+    return {
+      TopP: this.topP,
+      Model: this.model,
+      Stream: this.streaming,
+      Temperature: this.temperature,
+    };
+  }
+
+  /**
+   * Get the HTTP headers used to invoke the model
+   */
+  invocationHeaders(request: object, timestamp: number): HeadersInit {
+    const headers = {
+      "Content-Type": "application/json",
+      "X-TC-Action": "ChatCompletions",
+      "X-TC-Version": "2023-09-01",
+      "X-TC-Timestamp": timestamp.toString(),
+      Authorization: "",
+    };
+
+    headers.Authorization = this.sign(
+      this.host,
+      request,
+      timestamp,
+      this.tencentSecretId ?? "",
+      this.tencentSecretKey ?? "",
+      headers
+    );
+    return headers;
+  }
+
+  async *_streamResponseChunks(
+    messages: BaseMessage[],
+    options: this["ParsedCallOptions"],
+    runManager?: CallbackManagerForLLMRun
+  ): AsyncGenerator<ChatGenerationChunk> {
+    const stream = await this.caller.call(async () =>
+      this.createStream(
+        {
+          ...this.invocationParams(),
+          Messages: messages.map((message) => ({
+            Role: messageToRole(message),
+            Content: message.content as string,
+          })),
+        },
+        options?.signal
+      )
+    );
+
+    for await (const chunk of stream) {
+      // handle streaming error
+      if (chunk.ErrorMsg?.Message) {
+        throw new Error(`[${chunk.Id}] ${chunk.ErrorMsg?.Message}`);
+      }
+
+      const {
+        Choices: [
+          {
+            Delta: { Content },
+            FinishReason,
+          },
+        ],
+      } = chunk;
+      yield new ChatGenerationChunk({
+        text: Content,
+        message: new AIMessageChunk({ content: Content }),
+        generationInfo: FinishReason
+          ? {
+              usage: chunk.Usage,
+              request_id: chunk.Id,
+              finish_reason: FinishReason,
+            }
+          : undefined,
+      });
+      await runManager?.handleLLMNewToken(Content);
+    }
+  }
+
+  private async *createStream(
+    request: ChatCompletionRequest,
+    signal?: AbortSignal
+  ): AsyncGenerator<ChatCompletionResponse> {
+    const timestamp = Math.trunc(Date.now() / 1000);
+    const headers = this.invocationHeaders(request, timestamp);
+    const response = await fetch(`https://${this.host}`, {
+      headers,
+      method: "POST",
+      body: JSON.stringify(request),
+      signal,
+    });
+
+    if (!response.ok) {
+      const text = await response.text();
+      throw new Error(
+        `Hunyuan call failed with status code ${response.status}: ${text}`
+      );
+    }
+
+    if (
+      !response.headers.get("content-type")?.startsWith("text/event-stream")
+    ) {
+      const text = await response.text();
+      try {
+        const data = JSON.parse(text);
+        if (data?.Response?.Error?.Message) {
+          throw new Error(
+            `[${data?.Response?.RequestId}] ${data?.Response?.Error?.Message}`
+          );
+        }
+      } catch (e) {
+        throw new Error(
+          `Could not begin Hunyuan stream, received a non-JSON parseable response: ${text}.`
+        );
+      }
+    }
+
+    if (!response.body) {
+      throw new Error(
+        `Could not begin Hunyuan stream, received empty body response.`
+      );
+    }
+
+    const decoder = new TextDecoder("utf-8");
+    const stream = IterableReadableStream.fromReadableStream(response.body);
+    let extra = "";
+    for await (const chunk of stream) {
+      const decoded = extra + decoder.decode(chunk);
+      const lines = decoded.split("\n");
+      extra = lines.pop() || "";
+      for (const line of lines) {
+        if (!line.startsWith("data:")) {
+          continue;
+        }
+        try {
+          yield JSON.parse(line.slice("data:".length).trim());
+        } catch (e) {
+          console.warn(`Received a non-JSON parseable chunk: ${line}`);
+        }
+      }
+    }
+  }
+
+  /** @ignore */
+  async _generate(
+    messages: BaseMessage[],
+    options?: this["ParsedCallOptions"],
+    runManager?: CallbackManagerForLLMRun
+  ): Promise<ChatResult> {
+    const params = this.invocationParams();
+    if (params.Stream) {
+      let usage: Usage = {};
+      const stream = this._streamResponseChunks(
+        messages,
+        options ?? {},
+        runManager
+      );
+
+      const generations: ChatGeneration[] = [];
+      for await (const chunk of stream) {
+        const text = chunk.text ?? "";
+        generations.push({
+          text,
+          message: new AIMessage(text),
+        });
+        usage = chunk.generationInfo?.usage;
+      }
+      return {
+        generations,
+        llmOutput: {
+          tokenUsage: {
+            totalTokens: usage.TotalTokens,
+            promptTokens: usage.PromptTokens,
+            completionTokens: usage.CompletionTokens,
+          },
+        },
+      };
+    }
+
+    const data = await this.completionWithRetry(
+      {
+        ...params,
+        Messages: messages.map((message) => ({
+          Role: messageToRole(message),
+          Content: message.content as string,
+        })),
+      },
+      options?.signal
+    ).then<ChatCompletionResponse>((data) => {
+      const response: ChatCompletionResponse = data?.Response;
+      if (response?.Error?.Message) {
+        throw new Error(`[${response.RequestId}] ${response.Error.Message}`);
+      }
+      return response;
+    });
+
+    const text = data.Choices[0]?.Message?.Content ?? "";
+    const {
+      TotalTokens = 0,
+      PromptTokens = 0,
+      CompletionTokens = 0,
+    } = data.Usage;
+
+    return {
+      generations: [
+        {
+          text,
+          message: new AIMessage(text),
+        },
+      ],
+      llmOutput: {
+        tokenUsage: {
+          totalTokens: TotalTokens,
+          promptTokens: PromptTokens,
+          completionTokens: CompletionTokens,
+        },
+      },
+    };
+  }
+
+  /** @ignore */
+  async completionWithRetry(
+    request: ChatCompletionRequest,
+    signal?: AbortSignal
+  ) {
+    return this.caller.call(async () => {
+      const timestamp = Math.trunc(Date.now() / 1000);
+      const headers = this.invocationHeaders(request, timestamp);
+      const response = await fetch(`https://${this.host}`, {
+        headers,
+        method: "POST",
+        body: JSON.stringify(request),
+        signal,
+      });
+
+      return response.json();
+    });
+  }
+
+  _llmType() {
+    return "tencenthunyuan";
+  }
+
+  /** @ignore */
+  _combineLLMOutput() {
+    return [];
+  }
+}
diff --git a/libs/langchain-community/src/chat_models/tencent_hunyuan/index.ts b/libs/langchain-community/src/chat_models/tencent_hunyuan/index.ts
new file mode 100644
index 000000000000..fddd8807911b
--- /dev/null
+++ b/libs/langchain-community/src/chat_models/tencent_hunyuan/index.ts
@@ -0,0 +1,44 @@
+import { type BaseChatModelParams } from "@langchain/core/language_models/chat_models";
+import { sign } from "../../utils/tencent_hunyuan/index.js";
+import {
+  ChatTencentHunyuan as BaseChatTencentHunyuan,
+  TencentHunyuanChatInput,
+} from "./base.js";
+
+/**
+ * Wrapper around Tencent Hunyuan large language models that use the Chat endpoint.
+ *
+ * To use you should have the `TENCENT_SECRET_ID` and `TENCENT_SECRET_KEY`
+ * environment variable set.
+ *
+ * @augments BaseLLM
+ * @augments TencentHunyuanInput
+ * @example
+ * ```typescript
+ * const messages = [new HumanMessage("Hello")];
+ *
+ * const hunyuanLite = new ChatTencentHunyuan({
+ *   model: "hunyuan-lite",
+ *   tencentSecretId: "YOUR-SECRET-ID",
+ *   tencentSecretKey: "YOUR-SECRET-KEY",
+ * });
+ *
+ * let res = await hunyuanLite.call(messages);
+ *
+ * const hunyuanPro = new ChatTencentHunyuan({
+ *   model: "hunyuan-pro",
+ *   temperature: 1,
+ *   tencentSecretId: "YOUR-SECRET-ID",
+ *   tencentSecretKey: "YOUR-SECRET-KEY",
+ * });
+ *
+ * res = await hunyuanPro.call(messages);
+ * ```
+ */
+export class ChatTencentHunyuan extends BaseChatTencentHunyuan {
+  constructor(fields?: Partial<TencentHunyuanChatInput> & BaseChatModelParams) {
+    super({ ...fields, sign } ?? { sign });
+  }
+}
+
+export { TencentHunyuanChatInput } from "./base.js";
diff --git a/libs/langchain-community/src/chat_models/tencent_hunyuan/web.ts b/libs/langchain-community/src/chat_models/tencent_hunyuan/web.ts
new file mode 100644
index 000000000000..2d6d0e771b04
--- /dev/null
+++ b/libs/langchain-community/src/chat_models/tencent_hunyuan/web.ts
@@ -0,0 +1,43 @@
+import { type BaseChatModelParams } from "@langchain/core/language_models/chat_models";
+import { sign } from "../../utils/tencent_hunyuan/web.js";
+import {
+  ChatTencentHunyuan as BaseChatTencentHunyuan,
+  TencentHunyuanChatInput,
+} from "./base.js";
+
+/**
+ * Wrapper around Tencent Hunyuan large language models that use the Chat endpoint.
+ *
+ * To use you should have the `TENCENT_SECRET_ID` and `TENCENT_SECRET_KEY`
+ * environment variable set.
+ *
+ * @augments BaseLLM
+ * @augments TencentHunyuanInput
+ * @example
+ * ```typescript
+ * const messages = [new HumanMessage("Hello")];
+ *
+ * const hunyuanLite = new ChatTencentHunyuan({
+ *   model: "hunyuan-lite",
+ *   tencentSecretId: "YOUR-SECRET-ID",
+ *   tencentSecretKey: "YOUR-SECRET-KEY",
+ * });
+ *
+ * let res = await hunyuanLite.call(messages);
+ *
+ * const hunyuanPro = new ChatTencentHunyuan({
+ *   model: "hunyuan-pro",
+ *   temperature: 1,
+ *   tencentSecretId: "YOUR-SECRET-ID",
+ *   tencentSecretKey: "YOUR-SECRET-KEY",
+ * });
+ *
+ * res = await hunyuanPro.call(messages);
+ * ```
+ */
+export class ChatTencentHunyuan extends BaseChatTencentHunyuan {
+  constructor(fields?: Partial<TencentHunyuanChatInput> & BaseChatModelParams) {
+    super({ ...fields, sign } ?? { sign });
+  }
+}
+export { TencentHunyuanChatInput } from "./base.js";
diff --git a/libs/langchain-community/src/chat_models/tests/chattencenthunyuan.int.test.ts b/libs/langchain-community/src/chat_models/tests/chattencenthunyuan.int.test.ts
new file mode 100644
index 000000000000..fa816f49a255
--- /dev/null
+++ b/libs/langchain-community/src/chat_models/tests/chattencenthunyuan.int.test.ts
@@ -0,0 +1,142 @@
+import { test, expect } from "@jest/globals";
+import {
+  BaseMessage,
+  SystemMessage,
+  HumanMessage,
+} from "@langchain/core/messages";
+import { ChatTencentHunyuan } from "../tencent_hunyuan/index.js";
+
+interface TestConfig {
+  model: string | undefined;
+  config: {
+    description?: string;
+    temperature?: number;
+    topP?: number;
+    streaming?: boolean;
+    callbacks?: Array<{
+      nrNewTokens?: number;
+      streamedCompletion?: string;
+      handleLLMNewToken?: (token: string) => Promise<void>;
+    }>;
+  };
+  messages?: BaseMessage[];
+  shouldThrow?: boolean;
+}
+
+const runTest = async ({
+  model,
+  config,
+  messages = [new HumanMessage("Hello!")],
+  shouldThrow = false,
+}: TestConfig) => {
+  const description = `Test ChatTencentHunyuan ${model || "default model"} ${
+    config.description || ""
+  }`.trim();
+  let nrNewTokens = 0;
+  let streamedCompletion = "";
+  if (config.streaming) {
+    // eslint-disable-next-line no-param-reassign
+    config.callbacks = [
+      {
+        async handleLLMNewToken(token: string) {
+          nrNewTokens += 1;
+          streamedCompletion += token;
+        },
+      },
+    ];
+  }
+  test.skip(description, async () => {
+    const chat = new ChatTencentHunyuan({
+      model,
+      ...config,
+    });
+
+    if (shouldThrow) {
+      await expect(chat.invoke(messages)).rejects.toThrow();
+      return;
+    }
+
+    const res = await chat.invoke(messages);
+    console.log({ res });
+
+    if (config.streaming) {
+      expect(nrNewTokens > 0).toBe(true);
+      expect(res.text).toBe(streamedCompletion);
+    }
+  });
+};
+
+const testConfigs: TestConfig[] = [
+  { model: undefined, config: {} },
+  { model: "hunyuan-lite", config: {} },
+  {
+    model: "hunyuan-lite",
+    config: { description: "with temperature", temperature: 1 },
+  },
+  { model: "hunyuan-lite", config: { description: "with topP", topP: 1 } },
+  {
+    model: "hunyuan-lite",
+    config: { description: "with penaltyScore" },
+  },
+  {
+    model: "hunyuan-lite",
+    config: {
+      description: "in streaming mode",
+      streaming: true,
+    },
+    messages: [new HumanMessage("您好，请讲个长笑话")],
+  },
+  {
+    model: "hunyuan-lite",
+    config: {
+      description: "illegal input should throw an error",
+      temperature: 0,
+    },
+    shouldThrow: true,
+  },
+  {
+    model: "hunyuan-lite",
+    config: {
+      description: "illegal input in streaming mode should throw an error",
+      streaming: true,
+      temperature: 0,
+    },
+    shouldThrow: true,
+  },
+  { model: "hunyuan-pro", config: {} },
+  {
+    model: "hunyuan-pro",
+    config: {
+      description: "in streaming mode",
+      streaming: true,
+    },
+    messages: [new HumanMessage("您好，请讲个长笑话")],
+  },
+  {
+    model: "hunyuan-pro",
+    config: {
+      description: "with system message",
+    },
+    messages: [
+      new SystemMessage("你是一个说文言文的人"),
+      new HumanMessage("Hello!"),
+    ],
+  },
+  {
+    model: "hunyuan-standard",
+    config: {},
+  },
+  {
+    model: "hunyuan-lite",
+    config: {},
+  },
+  {
+    model: "hunyuan-standard-256K",
+    config: {},
+  },
+];
+
+testConfigs.forEach((testConfig) => {
+  // eslint-disable-next-line no-void
+  void runTest(testConfig);
+});
diff --git a/libs/langchain-community/src/embeddings/tencent_hunyuan/base.ts b/libs/langchain-community/src/embeddings/tencent_hunyuan/base.ts
new file mode 100644
index 000000000000..24e680818645
--- /dev/null
+++ b/libs/langchain-community/src/embeddings/tencent_hunyuan/base.ts
@@ -0,0 +1,194 @@
+import { getEnvironmentVariable } from "@langchain/core/utils/env";
+import { Embeddings, type EmbeddingsParams } from "@langchain/core/embeddings";
+import { sign } from "../../utils/tencent_hunyuan/common.js";
+
+/**
+ * Interface that extends EmbeddingsParams and defines additional
+ * parameters specific to the TencentHunyuanEmbeddingsParams class.
+ */
+export interface TencentHunyuanEmbeddingsParams extends EmbeddingsParams {
+  /**
+   * Tencent Cloud API Host.
+   * @default "hunyuan.tencentcloudapi.com"
+   */
+  host?: string;
+
+  /**
+   * SecretID to use when making requests, can be obtained from https://console.cloud.tencent.com/cam/capi.
+   * Defaults to the value of `TENCENT_SECRET_ID` environment variable.
+   */
+  tencentSecretId?: string;
+
+  /**
+   * Secret key to use when making requests, can be obtained from https://console.cloud.tencent.com/cam/capi.
+   * Defaults to the value of `TENCENT_SECRET_KEY` environment variable.
+   */
+  tencentSecretKey?: string;
+}
+
+/**
+ * Interface that extends EmbeddingsParams and defines additional
+ * parameters specific to the TencentHunyuanEmbeddingsParams class.
+ */
+interface TencentHunyuanEmbeddingsParamsWithSign
+  extends TencentHunyuanEmbeddingsParams {
+  /**
+   * Tencent Cloud API v3 sign method.
+   */
+  sign: sign;
+}
+
+/**
+ * Interface representing the embedding data.
+ * See https://cloud.tencent.com/document/api/1729/101838#EmbeddingData.
+ */
+interface EmbeddingData {
+  Embedding: number[];
+  Index: number;
+  Object: string;
+}
+
+/**
+ * Interface representing the usage of tokens in text embedding.
+ * See https://cloud.tencent.com/document/api/1729/101838#EmbeddingUsage.
+ */
+interface EmbeddingUsage {
+  TotalTokens: number;
+  PromptTokens: number;
+  CompletionTokens?: number;
+}
+
+/**
+ * Interface representing a error response from Tencent Hunyuan embedding.
+ * See https://cloud.tencent.com/document/product/1729/102832
+ */
+interface Error {
+  Code: string;
+  Message: string;
+}
+
+/**
+ * Interface representing a response from Tencent Hunyuan embedding.
+ * See https://cloud.tencent.com/document/product/1729/102832
+ */
+interface GetEmbeddingResponse {
+  Response: {
+    Error?: Error;
+    Data: EmbeddingData[];
+    Usage: EmbeddingUsage;
+    RequestId: string;
+  };
+}
+
+/**
+ * Class for generating embeddings using the Tencent Hunyuan API.
+ */
+export class TencentHunyuanEmbeddings
+  extends Embeddings
+  implements TencentHunyuanEmbeddingsParams
+{
+  tencentSecretId?: string;
+
+  tencentSecretKey?: string;
+
+  host = "hunyuan.tencentcloudapi.com";
+
+  sign: sign;
+
+  constructor(fields?: TencentHunyuanEmbeddingsParamsWithSign) {
+    super(fields ?? {});
+
+    this.tencentSecretId =
+      fields?.tencentSecretId ?? getEnvironmentVariable("TENCENT_SECRET_ID");
+    if (!this.tencentSecretId) {
+      throw new Error("Tencent SecretID not found");
+    }
+
+    this.tencentSecretKey =
+      fields?.tencentSecretKey ?? getEnvironmentVariable("TENCENT_SECRET_KEY");
+    if (!this.tencentSecretKey) {
+      throw new Error("Tencent SecretKey not found");
+    }
+
+    this.host = fields?.host ?? this.host;
+    if (!fields?.sign) {
+      throw new Error("Sign method undefined");
+    }
+    this.sign = fields?.sign;
+  }
+
+  /**
+   * Private method to make a request to the TogetherAI API to generate
+   * embeddings. Handles the retry logic and returns the response from the API.
+   * @param {string} input The input text to embed.
+   * @returns Promise that resolves to the response from the API.
+   * @TODO Figure out return type and statically type it.
+   */
+  private async embeddingWithRetry(
+    input: string
+  ): Promise<GetEmbeddingResponse> {
+    const request = { Input: input };
+    const timestamp = Math.trunc(Date.now() / 1000);
+    const headers = {
+      "Content-Type": "application/json",
+      "X-TC-Action": "GetEmbedding",
+      "X-TC-Version": "2023-09-01",
+      "X-TC-Timestamp": timestamp.toString(),
+      Authorization: "",
+    };
+
+    headers.Authorization = this.sign(
+      this.host,
+      request,
+      timestamp,
+      this.tencentSecretId ?? "",
+      this.tencentSecretKey ?? "",
+      headers
+    );
+
+    return this.caller.call(async () => {
+      const response = await fetch(`https://${this.host}`, {
+        headers,
+        method: "POST",
+        body: JSON.stringify(request),
+      });
+
+      if (response.ok) {
+        return response.json();
+      }
+
+      throw new Error(
+        `Error getting embeddings from Tencent Hunyuan. ${JSON.stringify(
+          await response.json(),
+          null,
+          2
+        )}`
+      );
+    });
+  }
+
+  /**
+   * Method to generate an embedding for a single document. Calls the
+   * embeddingWithRetry method with the document as the input.
+   * @param {string} text Document to generate an embedding for.
+   * @returns {Promise<number[]>} Promise that resolves to an embedding for the document.
+   */
+  async embedQuery(text: string): Promise<number[]> {
+    const { Response } = await this.embeddingWithRetry(text);
+    if (Response?.Error?.Message) {
+      throw new Error(`[${Response.RequestId}] ${Response.Error.Message}`);
+    }
+    return Response.Data[0].Embedding;
+  }
+
+  /**
+   * 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 embedQuery 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((doc) => this.embedQuery(doc)));
+  }
+}
diff --git a/libs/langchain-community/src/embeddings/tencent_hunyuan/index.ts b/libs/langchain-community/src/embeddings/tencent_hunyuan/index.ts
new file mode 100644
index 000000000000..4265a23b4df7
--- /dev/null
+++ b/libs/langchain-community/src/embeddings/tencent_hunyuan/index.ts
@@ -0,0 +1,16 @@
+import { sign } from "../../utils/tencent_hunyuan/index.js";
+import {
+  TencentHunyuanEmbeddings as BaseTencentHunyuanEmbeddings,
+  TencentHunyuanEmbeddingsParams,
+} from "./base.js";
+
+/**
+ * Class for generating embeddings using the Tencent Hunyuan API.
+ */
+export class TencentHunyuanEmbeddings extends BaseTencentHunyuanEmbeddings {
+  constructor(fields?: TencentHunyuanEmbeddingsParams) {
+    super({ ...fields, sign } ?? { sign });
+  }
+}
+
+export { type TencentHunyuanEmbeddingsParams } from "./base.js";
diff --git a/libs/langchain-community/src/embeddings/tencent_hunyuan/web.ts b/libs/langchain-community/src/embeddings/tencent_hunyuan/web.ts
new file mode 100644
index 000000000000..0dc4ca4735f2
--- /dev/null
+++ b/libs/langchain-community/src/embeddings/tencent_hunyuan/web.ts
@@ -0,0 +1,16 @@
+import { sign } from "../../utils/tencent_hunyuan/web.js";
+import {
+  TencentHunyuanEmbeddings as BaseTencentHunyuanEmbeddings,
+  TencentHunyuanEmbeddingsParams,
+} from "./base.js";
+
+/**
+ * Class for generating embeddings using the Tencent Hunyuan API.
+ */
+export class TencentHunyuanEmbeddings extends BaseTencentHunyuanEmbeddings {
+  constructor(fields?: TencentHunyuanEmbeddingsParams) {
+    super({ ...fields, sign } ?? { sign });
+  }
+}
+
+export { type TencentHunyuanEmbeddingsParams } from "./base.js";
diff --git a/libs/langchain-community/src/embeddings/tests/tencent_hunyuan.test.ts b/libs/langchain-community/src/embeddings/tests/tencent_hunyuan.test.ts
new file mode 100644
index 000000000000..52a430da5cc1
--- /dev/null
+++ b/libs/langchain-community/src/embeddings/tests/tencent_hunyuan.test.ts
@@ -0,0 +1,32 @@
+import { test, expect } from "@jest/globals";
+import { TencentHunyuanEmbeddings } from "../tencent_hunyuan/index.js";
+
+test.skip("Test TencentHunyuanEmbeddings.embedQuery", async () => {
+  const embeddings = new TencentHunyuanEmbeddings();
+  const res = await embeddings.embedQuery("Hello world");
+  expect(typeof res[0]).toBe("number");
+});
+
+test.skip("Test TencentHunyuanEmbeddings.embedDocuments", async () => {
+  const embeddings = new TencentHunyuanEmbeddings();
+  const res = await embeddings.embedDocuments(["Hello world", "Bye bye"]);
+  expect(res).toHaveLength(2);
+  expect(typeof res[0][0]).toBe("number");
+  expect(typeof res[1][0]).toBe("number");
+});
+
+test.skip("Test TencentHunyuanEmbeddings concurrency", async () => {
+  const embeddings = new TencentHunyuanEmbeddings();
+  const res = await embeddings.embedDocuments([
+    "Hello world",
+    "Bye bye",
+    "Hello world",
+    "Bye bye",
+    "Hello world",
+    "Bye bye",
+  ]);
+  expect(res).toHaveLength(6);
+  expect(res.find((embedding) => typeof embedding[0] !== "number")).toBe(
+    undefined
+  );
+});
diff --git a/libs/langchain-community/src/load/import_constants.ts b/libs/langchain-community/src/load/import_constants.ts
index 6c9228d80469..8497a6b7405b 100644
--- a/libs/langchain-community/src/load/import_constants.ts
+++ b/libs/langchain-community/src/load/import_constants.ts
@@ -19,6 +19,8 @@ export const optionalImportEntrypoints: string[] = [
   "langchain_community/embeddings/llama_cpp",
   "langchain_community/embeddings/premai",
   "langchain_community/embeddings/tensorflow",
+  "langchain_community/embeddings/tencent_hunyuan",
+  "langchain_community/embeddings/tencent_hunyuan/web",
   "langchain_community/embeddings/zhipuai",
   "langchain_community/llms/bedrock",
   "langchain_community/llms/bedrock/web",
@@ -89,6 +91,8 @@ export const optionalImportEntrypoints: string[] = [
   "langchain_community/chat_models/llama_cpp",
   "langchain_community/chat_models/portkey",
   "langchain_community/chat_models/premai",
+  "langchain_community/chat_models/tencent_hunyuan",
+  "langchain_community/chat_models/tencent_hunyuan/web",
   "langchain_community/chat_models/webllm",
   "langchain_community/chat_models/zhipuai",
   "langchain_community/callbacks/handlers/llmonitor",
diff --git a/libs/langchain-community/src/load/import_type.ts b/libs/langchain-community/src/load/import_type.ts
index fc6d6515562f..bf4f947d36cf 100644
--- a/libs/langchain-community/src/load/import_type.ts
+++ b/libs/langchain-community/src/load/import_type.ts
@@ -52,6 +52,8 @@ export interface SecretMap {
   REMOTE_RETRIEVER_AUTH_BEARER?: string;
   REPLICATE_API_TOKEN?: string;
   SEARXNG_API_BASE?: string;
+  TENCENT_SECRET_ID?: string;
+  TENCENT_SECRET_KEY?: string;
   TOGETHER_AI_API_KEY?: string;
   TURBOPUFFER_API_KEY?: string;
   UPSTASH_REDIS_REST_TOKEN?: string;
diff --git a/libs/langchain-community/src/utils/tencent_hunyuan/common.ts b/libs/langchain-community/src/utils/tencent_hunyuan/common.ts
new file mode 100644
index 000000000000..779375c0d7b4
--- /dev/null
+++ b/libs/langchain-community/src/utils/tencent_hunyuan/common.ts
@@ -0,0 +1,31 @@
+export const service = "hunyuan";
+export const signedHeaders = `content-type;host`;
+
+export const getDate = (timestamp: number) => {
+  const date = new Date(timestamp * 1000);
+  const year = date.getUTCFullYear();
+  const month = `0${(date.getUTCMonth() + 1).toString()}`.slice(-2);
+  const day = `0${date.getUTCDate()}`.slice(-2);
+  return `${year}-${month}-${day}`;
+};
+
+/**
+ * Method that calculate Tencent Cloud API v3 signature
+ * for making requests to the Tencent Cloud API.
+ * See https://cloud.tencent.com/document/api/1729/101843.
+ * @param host Tencent Cloud API host.
+ * @param payload HTTP request body.
+ * @param timestamp Sign timestamp in seconds.
+ * @param secretId Tencent Cloud Secret ID, which can be obtained from https://console.cloud.tencent.com/cam/capi.
+ * @param secretKey Tencent Cloud Secret Key, which can be obtained from https://console.cloud.tencent.com/cam/capi.
+ * @param headers HTTP request headers.
+ * @returns The signature for making requests to the Tencent API.
+ */
+export type sign = (
+  host: string,
+  payload: object,
+  timestamp: number,
+  secretId: string,
+  secretKey: string,
+  headers: Record<string, string>
+) => string;
diff --git a/libs/langchain-community/src/utils/tencent_hunyuan/index.ts b/libs/langchain-community/src/utils/tencent_hunyuan/index.ts
new file mode 100644
index 000000000000..55fb66625b2c
--- /dev/null
+++ b/libs/langchain-community/src/utils/tencent_hunyuan/index.ts
@@ -0,0 +1,47 @@
+import { createHash, createHmac, BinaryLike } from "node:crypto";
+import { getDate, service, signedHeaders } from "./common.js";
+
+const sha256 = (data: string) =>
+  createHash("sha256").update(data).digest("hex");
+
+const hmacSha256 = (data: string, key: BinaryLike) =>
+  createHmac("sha256", key).update(data).digest();
+
+const hmacSha256Hex = (data: string, key: BinaryLike) =>
+  createHmac("sha256", key).update(data).digest("hex");
+
+/**
+ * Method that calculate Tencent Cloud API v3 signature
+ * for making requests to the Tencent Cloud API.
+ * See https://cloud.tencent.com/document/api/1729/101843.
+ * @param host Tencent Cloud API host.
+ * @param payload HTTP request body.
+ * @param timestamp Sign timestamp in seconds.
+ * @param secretId Tencent Cloud Secret ID, which can be obtained from https://console.cloud.tencent.com/cam/capi.
+ * @param secretKey Tencent Cloud Secret Key, which can be obtained from https://console.cloud.tencent.com/cam/capi.
+ * @param headers HTTP request headers.
+ * @returns The signature for making requests to the Tencent API.
+ */
+export const sign = (
+  host: string,
+  payload: object,
+  timestamp: number,
+  secretId: string,
+  secretKey: string,
+  headers: Record<string, string>
+): string => {
+  const contentType = headers["Content-Type"];
+  const payloadHash = sha256(JSON.stringify(payload));
+  const canonicalRequest = `POST\n/\n\ncontent-type:${contentType}\nhost:${host}\n\n${signedHeaders}\n${payloadHash}`;
+  const date = getDate(timestamp);
+  const signature = hmacSha256Hex(
+    `TC3-HMAC-SHA256\n${timestamp}\n${date}/${service}/tc3_request\n${sha256(
+      canonicalRequest
+    )}`,
+    hmacSha256(
+      "tc3_request",
+      hmacSha256(service, hmacSha256(date, `TC3${secretKey}`))
+    )
+  );
+  return `TC3-HMAC-SHA256 Credential=${secretId}/${date}/${service}/tc3_request, SignedHeaders=${signedHeaders}, Signature=${signature}`;
+};
diff --git a/libs/langchain-community/src/utils/tencent_hunyuan/web.ts b/libs/langchain-community/src/utils/tencent_hunyuan/web.ts
new file mode 100644
index 000000000000..26c826130558
--- /dev/null
+++ b/libs/langchain-community/src/utils/tencent_hunyuan/web.ts
@@ -0,0 +1,39 @@
+import sha256 from "crypto-js/sha256.js";
+import hmacSha256 from "crypto-js/hmac-sha256.js";
+import { getDate, service, signedHeaders } from "./common.js";
+
+/**
+ * Method that calculate Tencent Cloud API v3 signature
+ * for making requests to the Tencent Cloud API.
+ * See https://cloud.tencent.com/document/api/1729/101843.
+ * @param host Tencent Cloud API host.
+ * @param payload HTTP request body.
+ * @param timestamp Sign timestamp in seconds.
+ * @param secretId Tencent Cloud Secret ID, which can be obtained from https://console.cloud.tencent.com/cam/capi.
+ * @param secretKey Tencent Cloud Secret Key, which can be obtained from https://console.cloud.tencent.com/cam/capi.
+ * @param headers HTTP request headers.
+ * @returns The signature for making requests to the Tencent API.
+ */
+export const sign = (
+  host: string,
+  payload: object,
+  timestamp: number,
+  secretId: string,
+  secretKey: string,
+  headers: Record<string, string>
+): string => {
+  const contentType = headers["Content-Type"];
+  const payloadHash = sha256(JSON.stringify(payload));
+  const canonicalRequest = `POST\n/\n\ncontent-type:${contentType}\nhost:${host}\n\n${signedHeaders}\n${payloadHash}`;
+  const date = getDate(timestamp);
+  const signature = hmacSha256(
+    `TC3-HMAC-SHA256\n${timestamp}\n${date}/${service}/tc3_request\n${sha256(
+      canonicalRequest
+    ).toString()}`,
+    hmacSha256(
+      "tc3_request",
+      hmacSha256(service, hmacSha256(date, `TC3${secretKey}`))
+    )
+  ).toString();
+  return `TC3-HMAC-SHA256 Credential=${secretId}/${date}/${service}/tc3_request, SignedHeaders=${signedHeaders}, Signature=${signature}`;
+};
diff --git a/yarn.lock b/yarn.lock
index 7159b03ba4aa..cc19004e2f1e 100644
--- a/yarn.lock
+++ b/yarn.lock
@@ -9125,6 +9125,7 @@ __metadata:
     "@tensorflow/tfjs-core": ^3.6.0
     "@tsconfig/recommended": ^1.0.2
     "@types/better-sqlite3": ^7.6.9
+    "@types/crypto-js": ^4.2.2
     "@types/flat": ^5.0.2
     "@types/html-to-text": ^9
     "@types/jsdom": ^21.1.1
@@ -9161,6 +9162,7 @@ __metadata:
     cohere-ai: ">=6.0.0"
     convex: ^1.3.1
     couchbase: ^4.3.0
+    crypto-js: ^4.2.0
     d3-dsv: ^2.0.0
     datastore-core: ^9.2.9
     discord.js: ^14.14.1
@@ -9307,6 +9309,7 @@ __metadata:
     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
     dria: ^0.0.3
@@ -9498,6 +9501,8 @@ __metadata:
       optional: true
     couchbase:
       optional: true
+    crypto-js:
+      optional: true
     d3-dsv:
       optional: true
     discord.js:
@@ -14593,6 +14598,13 @@ __metadata:
   languageName: node
   linkType: hard
 
+"@types/crypto-js@npm:^4.2.2":
+  version: 4.2.2
+  resolution: "@types/crypto-js@npm:4.2.2"
+  checksum: 727daa0d2db35f0abefbab865c23213b6ee6a270e27e177939bbe4b70d1e84c2202d9fac4ea84859c4b4d49a4ee50f948f601327a39b69ec013288018ba07ca5
+  languageName: node
+  linkType: hard
+
 "@types/d3-dsv@npm:^2":
   version: 2.0.3
   resolution: "@types/d3-dsv@npm:2.0.3"