LangChain Integration

import { ChatAnthropic } from "@langchain/anthropic";
import { ChatPromptTemplate } from "@langchain/core/prompts";
import { createToolCallingAgent } from "langchain/agents";
import { AgentExecutor } from "langchain/agents";
import { LangChainAdapter } from "@reacter/openapitools";
 
// Initialize the language model
const llm = new ChatAnthropic({
  model: "claude-3-7-sonnet-20250219",
  apiKey: "your-anthropic-api-key",
  verbose: true,
});
 
// Initialize the adapter
const adapter = new LangChainAdapter(
  "your OpenAPI Tools Apikey - https://openapitools.com/dashboard/settings",
  {
    autoRefreshCount: 50,
  }
);
 
// Define the prompt template
const prompt = ChatPromptTemplate.fromMessages([
  ["system", "You are a helpful assistant"],
  ["placeholder", "{chat_history}"],
  ["human", "{input}"],
  ["placeholder", "{agent_scratchpad}"],
]);
 
// Get tools in LangChain format
const tools = await adapter.getLangChainTools();
 
// Get specific tools
// const tools = await adapter.getLangChainTools(["generate-otp", {"name": "get-orders", "version": "prod"}]);
 
// Create a LangChain agent with tools
const agent = createToolCallingAgent({
  llm,
  tools,
  prompt,
});
 
// Set up the agent executor
const agentExecutor = new AgentExecutor({
  agent,
  tools,
});
 
// Use the agent
const response = await agentExecutor.invoke({
  input: "Can you generate an OTP for me?",
});
 
console.log(response);