Vercel AI

Adds instrumentation for Vercel AI SDK.

Import name: Sentry.vercelAIIntegration

The vercelAIIntegration adds instrumentation for the ai SDK by Vercel to capture spans using the AI SDK's built-in Telemetry.

This integration is not enabled by default. You need to manually enable it by passing Sentry.vercelAIIntegration() to Sentry.init:

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Sentry.init({
  dsn: ""
  tracesSampleRate: 1.0,
  integrations: [Sentry.vercelAIIntegration()],
});

To correctly capture spans, pass the experimental_telemetry object with isEnabled: true to every generateText, generateObject, and streamText function call. For more details, see the AI SDK Telemetry Metadata docs.

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const result = await generateText({
  model: openai("gpt-4o"),
  experimental_telemetry: {
    isEnabled: true,
    recordInputs: true,
    recordOutputs: true,
  },
});

In order to make it easier to correlate captured spans with the function calls we recommend setting functionId in experimental_telemetry in all generation function calls:

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const result = await generateText({
  model: openai("gpt-4o"),
  experimental_telemetry: {
    isEnabled: true,
    functionId: "my-awesome-function",
  },
});

By default this integration adds tracing support to all ai function callsites. If you need to disable span collection for a specific call, you can do so by setting experimental_telemetry.isEnabled to false in the first argument of the function call.

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const result = await generateText({
  model: openai("gpt-4o"),
  experimental_telemetry: { isEnabled: false },
});

If you set experimental_telemetry.recordInputs and experimental_telemetry.recordOutputs it will override the default behavior of collecting inputs and outputs for that function call.

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const result = await generateText({
  model: openai("gpt-4o"),
  experimental_telemetry: {
    isEnabled: true,
    recordInputs: true,
    recordOutputs: true,
  },
});

  • ai: >=3.0.0 <5
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