Params required to create the agent. Includes an LLM, tools, and prompt.
A runnable sequence representing an agent. It takes as input all the same input variables as the prompt passed in does. It returns as output either an AgentAction or AgentFinish.
import { AgentExecutor, createStructuredChatAgent } from "langchain/agents";
import { pull } from "langchain/hub";
import type { ChatPromptTemplate } from "@langchain/core/prompts";
import { AIMessage, HumanMessage } from "@langchain/core/messages";
import { ChatOpenAI } from "@langchain/openai";
// Define the tools the agent will have access to.
const tools = [...];
// 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/structured-chat-agent
const prompt = await pull<ChatPromptTemplate>(
"hwchase17/structured-chat-agent"
);
const llm = new ChatOpenAI({
temperature: 0,
modelName: "gpt-3.5-turbo-1106",
});
const agent = await createStructuredChatAgent({
llm,
tools,
prompt,
});
const agentExecutor = new AgentExecutor({
agent,
tools,
});
const result = await agentExecutor.invoke({
input: "what is LangChain?",
});
// With chat history
const result2 = 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?"),
],
});
Generated using TypeDoc
Create an agent aimed at supporting tools with multiple inputs.