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Observability for Mastra With LangWatch

This guide shows you how to integrate Mastra with LangWatch for observability and tracing. By following these steps, you’ll be able to monitor and debug your Mastra agents in the LangWatch dashboard.

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Integration

1

Create a Mastra project

Create a Mastra project using the Mastra CLI:
npx create-mastra
Move into the project directory:
cd your-mastra-project
For more information, view Mastra installation instructions here
2

Set up LangWatch project

Create a project in LangWatch and get your API keys from the project settings page.
3

Add environment variables

Create or update your .env file with the following variables:
# Your LLM API key
OPENAI_API_KEY=your-api-key

# LangWatch credentials
LANGWATCH_API_KEY=sk-...
4

Install the langwatch package

Add the langwatch package to your project:
npm install langwatch
5

Add LangWatch to your Mastra instance

Add LangWatch to your Mastra instance via the telemetry exporter.
import { Mastra } from "@mastra/core/mastra";
import { PinoLogger } from "@mastra/loggers";
import { LibSQLStore } from "@mastra/libsql";
import { LangWatchExporter } from "langwatch";

import { weatherAgent } from "./agents/weather-agent";

export const mastra = new Mastra({
agents: { weatherAgent },
telemetry: {
  serviceName: "ai", // this must be set to "ai" so that the LangWatchExporter thinks it's an AI SDK trace
  enabled: true,
  export: {
    type: "custom",
    exporter: new LangWatchExporter({
      apiKey: process.env.LANGWATCH_API_KEY,
      debug: true,
      // includeAllSpans: true,
    }),
  },
},
});
6

Run mastra dev server

Start the Mastra development server:
npm run dev
Head over to the developer playground with the provided URL and start chatting with your agent.

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View traces in LangWatch

Visit your LangWatch dashboard to explore detailed insights into your agent interactions. Monitor and analyze every aspect of your AI conversations, from prompt engineering to response quality, helping you optimize your AI applications.