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*   [Get started](/v0.1/docs/get_started/)
    
    *   [Introduction](/v0.1/docs/get_started/introduction/)
    *   [Installation](/v0.1/docs/get_started/installation/)
    *   [Quickstart](/v0.1/docs/get_started/quickstart/)
*   [LangChain Expression Language](/v0.1/docs/expression_language/)
    
    *   [Get started](/v0.1/docs/expression_language/get_started/)
    *   [Why use LCEL?](/v0.1/docs/expression_language/why/)
    *   [Interface](/v0.1/docs/expression_language/interface/)
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    *   [How to](/v0.1/docs/expression_language/how_to/routing/)
        
    *   [Cookbook](/v0.1/docs/expression_language/cookbook/)
        
    *   [LangChain Expression Language (LCEL)](/v0.1/docs/expression_language/)
*   [Modules](/v0.1/docs/modules/)
    
    *   [Model I/O](/v0.1/docs/modules/model_io/)
        
    *   [Retrieval](/v0.1/docs/modules/data_connection/)
        
    *   [Chains](/v0.1/docs/modules/chains/)
    *   [Agents](/v0.1/docs/modules/agents/)
        
        *   [Quick start](/v0.1/docs/modules/agents/quick_start/)
        *   [Concepts](/v0.1/docs/modules/agents/concepts/)
        *   [Agent Types](/v0.1/docs/modules/agents/agent_types/)
            
            *   [Tool calling](/v0.1/docs/modules/agents/agent_types/tool_calling/)
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            *   [OpenAI functions](/v0.1/docs/modules/agents/agent_types/openai_functions_agent/)
            *   [XML Agent](/v0.1/docs/modules/agents/agent_types/xml/)
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            *   [Structured chat](/v0.1/docs/modules/agents/agent_types/structured_chat/)
            *   [XML Agent](/v0.1/docs/modules/agents/agent_types/xml_legacy/)
        *   [How-to](/v0.1/docs/modules/agents/how_to/custom_agent/)
            
        *   [Agents](/v0.1/docs/modules/agents/)
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*   [](/v0.1/)
*   [Modules](/v0.1/docs/modules/)
*   [Agents](/v0.1/docs/modules/agents/)
*   [Agent Types](/v0.1/docs/modules/agents/agent_types/)
*   XML Agent

XML Agent
=========

caution

This is a legacy chain, it is not recommended for use. Instead, see docs for the [LCEL version](/v0.1/docs/modules/agents/agent_types/xml/).

Some language models (like Anthropic's Claude) are particularly good at reasoning/writing XML. The below example shows how to use an agent that uses XML when prompting.

tip

See [this section for general instructions on installing integration packages](/v0.1/docs/get_started/installation/#installing-integration-packages).

*   npm
*   Yarn
*   pnpm

    npm install @langchain/anthropic

    yarn add @langchain/anthropic

    pnpm add @langchain/anthropic

    import { TavilySearchResults } from "@langchain/community/tools/tavily_search";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 = [new TavilySearchResults({ maxResults: 1 })];// 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-convoconst prompt = await pull<PromptTemplate>("hwchase17/xml-agent-convo");const llm = new ChatAnthropic({  model: "claude-3-opus-20240229",  temperature: 0,});const agent = await createXmlAgent({  llm,  tools,  prompt,});const agentExecutor = new AgentExecutor({  agent,  tools,});const result = await agentExecutor.invoke({  input: "what is LangChain?",});console.log(result);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",});console.log(result2);

#### API Reference:

*   [TavilySearchResults](https://api.js.langchain.com/classes/langchain_community_tools_tavily_search.TavilySearchResults.html) from `@langchain/community/tools/tavily_search`
*   [AgentExecutor](https://api.js.langchain.com/classes/langchain_agents.AgentExecutor.html) from `langchain/agents`
*   [createXmlAgent](https://api.js.langchain.com/functions/langchain_agents.createXmlAgent.html) from `langchain/agents`
*   [pull](https://api.js.langchain.com/functions/langchain_hub.pull.html) from `langchain/hub`
*   [PromptTemplate](https://api.js.langchain.com/classes/langchain_core_prompts.PromptTemplate.html) from `@langchain/core/prompts`
*   [ChatAnthropic](https://api.js.langchain.com/classes/langchain_anthropic.ChatAnthropic.html) from `@langchain/anthropic`

* * *

#### Help us out by providing feedback on this documentation page:

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