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*   [Get started](/v0.1/docs/get_started/)
    
    *   [Introduction](/v0.1/docs/get_started/introduction/)
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*   [Modules](/v0.1/docs/modules/)
    
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        *   [Quick start](/v0.1/docs/modules/agents/quick_start/)
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            *   [Custom LLM Agent](/v0.1/docs/modules/agents/how_to/custom_llm_agent/)
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            *   [Handle parsing errors](/v0.1/docs/modules/agents/how_to/handle_parsing_errors/)
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            *   [Logging and tracing](/v0.1/docs/modules/agents/how_to/logging_and_tracing/)
            *   [Cap the max number of iterations](/v0.1/docs/modules/agents/how_to/max_iterations/)
            *   [Streaming](/v0.1/docs/modules/agents/how_to/streaming/)
            *   [Timeouts for agents](/v0.1/docs/modules/agents/how_to/timeouts/)
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*   [](/v0.1/)
*   [Modules](/v0.1/docs/modules/)
*   [Agents](/v0.1/docs/modules/agents/)
*   How-to
*   Timeouts for agents

Timeouts for agents
===================

By default, LangChain will wait indefinitely for a response from the model provider. If you want to add a timeout to an agent, you can pass a `timeout` option, when you run the agent. For example:

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/openai

    yarn add @langchain/openai

    pnpm add @langchain/openai

    import { initializeAgentExecutorWithOptions } from "langchain/agents";import { OpenAI } from "@langchain/openai";import { Calculator } from "@langchain/community/tools/calculator";import { SerpAPI } from "@langchain/community/tools/serpapi";const model = new OpenAI({ temperature: 0 });const tools = [  new SerpAPI(process.env.SERPAPI_API_KEY, {    location: "Austin,Texas,United States",    hl: "en",    gl: "us",  }),  new Calculator(),];const executor = await initializeAgentExecutorWithOptions(tools, model, {  agentType: "zero-shot-react-description",});try {  const input = `Who is Olivia Wilde's boyfriend? What is his current age raised to the 0.23 power?`;  const result = await executor.invoke({ input, timeout: 2000 }); // 2 seconds} catch (e) {  console.log(e);  /*  Error: Cancel: canceled      at file:///Users/nuno/dev/langchainjs/langchain/dist/util/async_caller.js:60:23      at process.processTicksAndRejections (node:internal/process/task_queues:95:5)      at RetryOperation._fn (/Users/nuno/dev/langchainjs/node_modules/p-retry/index.js:50:12) {    attemptNumber: 1,    retriesLeft: 6  }  */}

#### API Reference:

*   [initializeAgentExecutorWithOptions](https://api.js.langchain.com/functions/langchain_agents.initializeAgentExecutorWithOptions.html) from `langchain/agents`
*   [OpenAI](https://api.js.langchain.com/classes/langchain_openai.OpenAI.html) from `@langchain/openai`
*   [Calculator](https://api.js.langchain.com/classes/langchain_community_tools_calculator.Calculator.html) from `@langchain/community/tools/calculator`
*   [SerpAPI](https://api.js.langchain.com/classes/langchain_community_tools_serpapi.SerpAPI.html) from `@langchain/community/tools/serpapi`

* * *

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