OpenAI

Adds instrumentation for the OpenAI SDK.

Import name: Sentry.instrumentOpenAiClient

The instrumentOpenAiClient helper adds instrumentation for the openai SDK to capture spans by wrapping OpenAI SDK calls and recording LLM interactions with configurable input/output recording. You need to manually wrap your OpenAI client instance with this helper.

See example below:

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import OpenAI from "openai";

const openai = new OpenAI({
  // Warning: API key will be exposed in browser!
  apiKey: "your-api-key",
});

const client = Sentry.instrumentOpenAiClient(openai, {
  recordInputs: true,
  recordOutputs: true,
});

// Use the wrapped client instead of the original openai instance
const response = await client.chat.completions.create({
  model: "gpt-4o",
  messages: [{ role: "user", content: "Hello!" }],
});

To customize what data is captured (such as inputs and outputs), see the Options in the Configuration section.

The following options control what data is captured from OpenAI SDK calls:

Type: boolean (optional)

Records inputs to OpenAI SDK calls (such as prompts and messages).

Defaults to true if dataCollection.genAI.inputs is true (which is the default when using dataCollection), or if the deprecated sendDefaultPii is true.

Type: boolean (optional)

Records outputs from OpenAI SDK calls (such as generated text and responses).

Defaults to true if dataCollection.genAI.outputs is true (which is the default when using dataCollection), or if the deprecated sendDefaultPii is true.

Usage

Using the instrumentOpenAiClient wrapper for manual instrumentation:

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const client = Sentry.instrumentOpenAiClient(openai, {
  // your options here
});

By default, tracing support is added to the following OpenAI SDK calls:

  • chat.completions.create() - Chat completion requests
  • responses.create() - Response SDK requests

Streaming and non-streaming requests are automatically detected and handled appropriately.

  • openai: >=4.0.0 <7
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