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Add support for formatting LangChain prompts as OpenAI and Anthropic …
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -1,6 +1,6 @@ | ||
| { | ||
| "name": "langsmith", | ||
| "version": "0.1.60", | ||
| "version": "0.1.61", | ||
| "description": "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform.", | ||
| "packageManager": "[email protected]", | ||
| "files": [ | ||
|
|
@@ -53,6 +53,14 @@ | |
| "singletons/traceable.js", | ||
| "singletons/traceable.d.ts", | ||
| "singletons/traceable.d.cts", | ||
| "utils/prompts/anthropic.cjs", | ||
| "utils/prompts/anthropic.js", | ||
| "utils/prompts/anthropic.d.ts", | ||
| "utils/prompts/anthropic.d.cts", | ||
| "utils/prompts/openai.cjs", | ||
| "utils/prompts/openai.js", | ||
| "utils/prompts/openai.d.ts", | ||
| "utils/prompts/openai.d.cts", | ||
| "index.cjs", | ||
| "index.js", | ||
| "index.d.ts", | ||
|
|
@@ -106,12 +114,14 @@ | |
| }, | ||
| "devDependencies": { | ||
| "@ai-sdk/openai": "^0.0.40", | ||
| "@anthropic-ai/sdk": "^0.27.3", | ||
| "@babel/preset-env": "^7.22.4", | ||
| "@faker-js/faker": "^8.4.1", | ||
| "@jest/globals": "^29.5.0", | ||
| "@langchain/anthropic": "^0.3.2", | ||
| "@langchain/core": "^0.3.1", | ||
| "@langchain/langgraph": "^0.2.3", | ||
| "@langchain/openai": "^0.3.0", | ||
| "@langchain/openai": "^0.3.1", | ||
| "@tsconfig/recommended": "^1.0.2", | ||
| "@types/jest": "^29.5.1", | ||
| "@typescript-eslint/eslint-plugin": "^5.59.8", | ||
|
|
@@ -266,6 +276,24 @@ | |
| "import": "./singletons/traceable.js", | ||
| "require": "./singletons/traceable.cjs" | ||
| }, | ||
| "./utils/prompts/anthropic": { | ||
| "types": { | ||
| "import": "./utils/prompts/anthropic.d.ts", | ||
| "require": "./utils/prompts/anthropic.d.cts", | ||
| "default": "./utils/prompts/anthropic.d.ts" | ||
| }, | ||
| "import": "./utils/prompts/anthropic.js", | ||
| "require": "./utils/prompts/anthropic.cjs" | ||
| }, | ||
| "./utils/prompts/openai": { | ||
| "types": { | ||
| "import": "./utils/prompts/openai.d.ts", | ||
| "require": "./utils/prompts/openai.d.cts", | ||
| "default": "./utils/prompts/openai.d.ts" | ||
| }, | ||
| "import": "./utils/prompts/openai.js", | ||
| "require": "./utils/prompts/openai.cjs" | ||
| }, | ||
| "./package.json": "./package.json" | ||
| } | ||
| } | ||
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,57 @@ | ||
| /* eslint-disable import/no-extraneous-dependencies */ | ||
| import type { BasePromptValue } from "@langchain/core/prompt_values"; | ||
| import * as langChainAnthropicImports from "@langchain/anthropic"; | ||
| import Anthropic from "@anthropic-ai/sdk"; | ||
|
|
||
| /** | ||
| * 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 { _convertMessagesToAnthropicPayload } = langChainAnthropicImports; | ||
| if (typeof _convertMessagesToAnthropicPayload !== "function") { | ||
| throw new Error( | ||
| `Please update your version of "@langchain/anthropic" to 0.3.2 or higher.` | ||
| ); | ||
| } | ||
| const anthropicBody = _convertMessagesToAnthropicPayload(messages); | ||
| if (anthropicBody.messages === undefined) { | ||
| anthropicBody.messages = []; | ||
| } | ||
| return anthropicBody; | ||
| } |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,52 @@ | ||
| /* eslint-disable import/no-extraneous-dependencies */ | ||
| import type { BasePromptValue } from "@langchain/core/prompt_values"; | ||
| import * as langChainOpenAIImports from "@langchain/openai"; | ||
| import type { OpenAI } from "openai"; | ||
|
|
||
| /** | ||
| * 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(); | ||
| const { _convertMessagesToOpenAIParams } = langChainOpenAIImports; | ||
| if (typeof _convertMessagesToOpenAIParams !== "function") { | ||
| throw new Error( | ||
| `Please update your version of "@langchain/openai" to 0.3.1 or higher.` | ||
| ); | ||
| } | ||
| return { | ||
| messages: _convertMessagesToOpenAIParams( | ||
| messages | ||
| ) as OpenAI.Chat.ChatCompletionMessageParam[], | ||
| }; | ||
| } |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,25 @@ | ||
| import Anthropic from "@anthropic-ai/sdk"; | ||
| import { pull } from "langchain/hub"; | ||
|
|
||
| import { convertPromptToAnthropic } from "../anthropic.js"; | ||
|
|
||
| test("basic traceable implementation", async () => { | ||
| const prompt = await pull("jacob/joke-generator"); | ||
| const formattedPrompt = await prompt.invoke({ | ||
| topic: "cats", | ||
| }); | ||
|
|
||
| const { system, messages } = convertPromptToAnthropic(formattedPrompt); | ||
|
|
||
| const anthropicClient = new Anthropic(); | ||
|
|
||
| const anthropicResponse = await anthropicClient.messages.create({ | ||
| model: "claude-3-5-sonnet-20240620", | ||
| system, | ||
| messages: messages, | ||
| max_tokens: 1024, | ||
| stream: false, | ||
| }); | ||
|
|
||
| console.log(anthropicResponse); | ||
| }); |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,22 @@ | ||
| import OpenAI from "openai"; | ||
| import { pull } from "langchain/hub"; | ||
|
|
||
| import { convertPromptToOpenAI } from "../openai.js"; | ||
|
|
||
| test("basic traceable implementation", async () => { | ||
| 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-mini", | ||
| messages, | ||
| }); | ||
|
|
||
| console.log(openAIResponse); | ||
| }); |
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