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*   [Get started](/v0.1/docs/get_started/)
    
    *   [Introduction](/v0.1/docs/get_started/introduction/)
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    *   [LangChain Expression Language (LCEL)](/v0.1/docs/expression_language/)
*   [Modules](/v0.1/docs/modules/)
    
    *   [Model I/O](/v0.1/docs/modules/model_io/)
        
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        *   [Quick start](/v0.1/docs/modules/agents/quick_start/)
        *   [Concepts](/v0.1/docs/modules/agents/concepts/)
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        *   [How-to](/v0.1/docs/modules/agents/how_to/custom_agent/)
            
            *   [Custom agent](/v0.1/docs/modules/agents/how_to/custom_agent/)
            *   [Returning structured output](/v0.1/docs/modules/agents/how_to/agent_structured/)
            *   [Subscribing to events](/v0.1/docs/modules/agents/how_to/callbacks/)
            *   [Cancelling requests](/v0.1/docs/modules/agents/how_to/cancelling_requests/)
            *   [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/)
            *   [Access intermediate steps](/v0.1/docs/modules/agents/how_to/intermediate_steps/)
            *   [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/)
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*   [](/v0.1/)
*   [Modules](/v0.1/docs/modules/)
*   [Agents](/v0.1/docs/modules/agents/)
*   How-to
*   Logging and tracing

Logging and tracing
===================

You can pass the `verbose` flag when creating an agent to enable logging of all events to the console. For example:

You can also enable [tracing](/v0.1/docs/production/tracing/) by setting the LANGCHAIN\_TRACING environment variable to `true`.

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",  verbose: true,});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 });console.log(result);/*  { output: '2.2800773226742175' }*/

#### 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`

* * *

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

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