• Create an agent that uses XML to format its logic.

    Parameters

    • params: CreateXmlAgentParams

      Params required to create the agent. Includes an LLM, tools, and prompt.

    Returns Promise<RunnableSequence<{
        steps: AgentStep[];
    }, AgentAction | AgentFinish>>

    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.

    Example

    import { AgentExecutor, createXmlAgent } from "langchain/agents";
    import { pull } from "langchain/hub";
    import type { PromptTemplate } from "@langchain/core/prompts";

    import { ChatAnthropic } from "@langchain/anthropic";

    // 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/xml-agent-convo
    const prompt = await pull<PromptTemplate>("hwchase17/xml-agent-convo");

    const llm = new ChatAnthropic({
    temperature: 0,
    });

    const agent = await createXmlAgent({
    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?",
    // Notice that chat_history is a string, since this prompt is aimed at LLMs, not chat models
    chat_history: "Human: Hi! My name is Cob\nAI: Hello Cob! Nice to meet you",
    });

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