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"example": "node src/index.js", + "example": "node --env-file=.env src/index", "test": "echo \"Error: no test specified\" && exit 1" }, "author": "Martyn Davies ", "license": "MIT", "dependencies": { - "@langchain/openai": "^0.0.26", - "axios": "^1.6.8", - "langchain": "^0.1.31" + "@langchain/core": "^0.2.14", + "@langchain/openai": "^0.2.1", + "axios": "^1.7.2", + "colors": "^1.4.0" } } diff --git a/readme.md b/readme.md index e3ac366..c6a2283 100644 --- a/readme.md +++ b/readme.md @@ -1,6 +1,6 @@ # Hub API - LangChain, OpenAI and Node.js Example -In this example repository we will focus on building a simple agent that can consume and use the functions definitions provided by Superface using the LangChain.js library, OpenAI and Node.js. +In this example repository we will focus on building a simple agent that can consume and use the function definitions provided by Superface using the LangChain.js library, OpenAI and Node.js. ## Run this example @@ -14,16 +14,16 @@ This will install the LangChain dependencies, as well as Axios for making HTTP r ### Add API Keys -After everything is installed you will need to add two API keys in `src/index.js`: +After everything is installed you will need to add two API keys in your `.env` file. If this does not exist, go ahead and create it at the root level: ``` -const OPENAI_API_KEY = ""; -const SUPERFACE_AUTH_TOKEN = ""; +OPENAI_API_KEY = +SUPERFACE_AUTH_TOKEN = ``` ### Change the prompt -By default, there is a prompt that will make two calls to Superface's Hub API to get the weather details for two different cities. You can edit this to add more if you like, or change the cities to those nearer to you. +By default, there is a prompt that will make two calls to Superface's Hub API to get the weather details for two different cities. You can edit this to add more if you like or change the cities to those nearer to you. ``` const PROMPT = "What's the weather like in Prague and in Kosice?"; diff --git a/src/index.js b/src/index.js index d121502..263e522 100644 --- a/src/index.js +++ b/src/index.js @@ -1,19 +1,20 @@ -const { ChatOpenAI } = require("@langchain/openai"); -const { ToolMessage } = require("@langchain/core/messages"); -const axios = require('axios') +import { ChatOpenAI } from "@langchain/openai"; +import { ToolMessage } from "@langchain/core/messages"; +import colors from "colors"; +import axios from "axios"; + +// Set up constants for the Superface Hub API and the prompt -const OPENAI_API_KEY = ""; -const SUPERFACE_AUTH_TOKEN = ""; const SUPERFACE_BASE_URL = "https://pod.superface.ai/api/hub"; const PROMPT = "What's the weather like in Prague and in Kosice?"; (async () => { - + // @description: Get the tools from the Superface Hub API async function getSuperfaceTools() { try { const response = await axios.get(`${SUPERFACE_BASE_URL}/fd`, { headers: { - Authorization: `Bearer ${SUPERFACE_AUTH_TOKEN}`, + Authorization: `Bearer ${process.env.SUPERFACE_AUTH_TOKEN}`, }, }); return response.data; @@ -21,59 +22,74 @@ const PROMPT = "What's the weather like in Prague and in Kosice?"; console.error(error); } } - + + // @description: Perform the action using the Superface Hub API async function performAction(functionName, toolCallArguments) { + console.log( + `Calling Superface Hub API function ${functionName} with arguments ${JSON.stringify( + toolCallArguments + )}`["green"] + ); try { - const actionResponse = await axios.post(`${SUPERFACE_BASE_URL}/perform/${functionName}`, toolCallArguments, - { headers: { - Authorization: `Bearer ${SUPERFACE_AUTH_TOKEN}`, - 'Content-Type': 'application/json', - 'x-superface-user-id': 'sflangchainexample|123' - } - }); + const actionResponse = await axios.post( + `${SUPERFACE_BASE_URL}/perform/${functionName}`, + toolCallArguments, + { + headers: { + Authorization: `Bearer ${process.env.SUPERFACE_AUTH_TOKEN}`, + "Content-Type": "application/json", + "x-superface-user-id": "sflangchainexample|1234", + }, + } + ); let result = JSON.stringify(actionResponse.data); + + // Log the response to demonstrate the result format from Superface Hub API console.log(`SUPERFACE RESPONSE: ${result}`); + return result; - } catch (error) { console.error(`PERFORM ERROR: ${error.response}`); return error.response.data; } } - // Bind function to the model as a tool - const chat = new ChatOpenAI({ - modelName: "gpt-4-1106-preview", + // Set up the LLM as GPT-4o using LangChain's ChatOpenAI class + const llm = new ChatOpenAI({ + model: "gpt-4o", maxTokens: 128, - openAIApiKey: OPENAI_API_KEY, - }).bind({ - tools: await getSuperfaceTools(), - tool_choice: "auto", + apiKey: process.env.OPENAI_API_KEY, }); - // Ask initial question that requires multiple tool calls - const res = await chat.invoke([ - ["human", PROMPT], - ]); + // Retrieve the tools list from the Superface Hub API + const superfaceTools = await getSuperfaceTools(); + + // Bind the list of available tools to the LLM + const llmWithTools = llm.bindTools(superfaceTools); + + // Invoke the LLM with the initial prompt that requires multiple tool calls + const res = await llmWithTools.invoke(PROMPT); // Format the results from calling the tool calls back to OpenAI as ToolMessages - const toolMessages = res.additional_kwargs.tool_calls?.map(async (toolCall) => { - const toolCallResult = await performAction(toolCall.function.name, JSON.parse(toolCall.function.arguments)); + const toolMessages = res.tool_calls?.map(async (toolCall) => { + const toolCallResult = await performAction(toolCall.name, toolCall.args); return new ToolMessage({ tool_call_id: toolCall.id, - name: toolCall.function.name, - content: toolCallResult + name: toolCall.name, + content: toolCallResult, }); }); - // Send the results back as the next step in the conversation - const finalResponse = await chat.invoke([ - ["human", PROMPT], + // Re-invoke the LLM with the initial prompt and the tool messages + // to continue the conversation and get the final response. + const finalResponse = await llmWithTools.invoke([ + PROMPT, res, - ...(await Promise.all(toolMessages ?? [])) + ...(await Promise.all(toolMessages ?? [])), ]); - console.log(finalResponse.content); -})(); \ No newline at end of file + // Return the initial prompt and the final response + console.log("\n\n" + PROMPT["blue"] + "\n\n" + finalResponse.content); +})();