feat(node): Add OpenAI SDK v6 support and integration tests

dev-packages/node-integration-tests/suites/tracing/openai/v6/instrument-with-options.mjs

@@ -0,0 +1,16 @@
+import * as Sentry from '@sentry/node';
+import { loggingTransport } from '@sentry-internal/node-integration-tests';
+
+Sentry.init({
+  dsn: 'https://public@dsn.ingest.sentry.io/1337',
+  release: '1.0',
+  tracesSampleRate: 1.0,
+  sendDefaultPii: false,
+  transport: loggingTransport,
+  integrations: [
+    Sentry.openAIIntegration({
+      recordInputs: true,
+      recordOutputs: true,
+    }),
+  ],
+});

dev-packages/node-integration-tests/suites/tracing/openai/v6/instrument-with-pii.mjs

@@ -0,0 +1,11 @@
+import * as Sentry from '@sentry/node';
+import { loggingTransport } from '@sentry-internal/node-integration-tests';
+
+Sentry.init({
+  dsn: 'https://public@dsn.ingest.sentry.io/1337',
+  release: '1.0',
+  tracesSampleRate: 1.0,
+  sendDefaultPii: true,
+  transport: loggingTransport,
+  integrations: [Sentry.openAIIntegration()],
+});

dev-packages/node-integration-tests/suites/tracing/openai/v6/instrument.mjs

@@ -0,0 +1,11 @@
+import * as Sentry from '@sentry/node';
+import { loggingTransport } from '@sentry-internal/node-integration-tests';
+
+Sentry.init({
+  dsn: 'https://public@dsn.ingest.sentry.io/1337',
+  release: '1.0',
+  tracesSampleRate: 1.0,
+  sendDefaultPii: false,
+  transport: loggingTransport,
+  integrations: [Sentry.openAIIntegration()],
+});

dev-packages/node-integration-tests/suites/tracing/openai/v6/scenario-chat.mjs

@@ -0,0 +1,318 @@
+import { instrumentOpenAiClient } from '@sentry/core';
+import * as Sentry from '@sentry/node';
+
+class MockOpenAI {
+  constructor(config) {
+    this.apiKey = config.apiKey;
+
+    this.chat = {
+      completions: {
+        create: async params => {
+          // Simulate processing time
+          await new Promise(resolve => setTimeout(resolve, 10));
+
+          if (params.model === 'error-model') {
+            const error = new Error('Model not found');
+            error.status = 404;
+            error.headers = { 'x-request-id': 'mock-request-123' };
+            throw error;
+          }
+
+          // If stream is requested, return an async generator
+          if (params.stream) {
+            return this._createChatCompletionStream(params);
+          }
+
+          return {
+            id: 'chatcmpl-mock123',
+            object: 'chat.completion',
+            created: 1677652288,
+            model: params.model,
+            system_fingerprint: 'fp_44709d6fcb',
+            choices: [
+              {
+                index: 0,
+                message: {
+                  role: 'assistant',
+                  content: 'Hello from OpenAI mock!',
+                },
+                finish_reason: 'stop',
+              },
+            ],
+            usage: {
+              prompt_tokens: 10,
+              completion_tokens: 15,
+              total_tokens: 25,
+            },
+          };
+        },
+      },
+    };
+
+    this.responses = {
+      create: async params => {
+        await new Promise(resolve => setTimeout(resolve, 10));
+
+        // If stream is requested, return an async generator
+        if (params.stream) {
+          return this._createResponsesApiStream(params);
+        }
+
+        return {
+          id: 'resp_mock456',
+          object: 'response',
+          created_at: 1677652290,
+          model: params.model,
+          input_text: params.input,
+          output_text: `Response to: ${params.input}`,
+          status: 'completed',
+          usage: {
+            input_tokens: 5,
+            output_tokens: 8,
+            total_tokens: 13,
+          },
+        };
+      },
+    };
+  }
+
+  // Create a mock streaming response for chat completions
+  async *_createChatCompletionStream(params) {
+    // First chunk with basic info
+    yield {
+      id: 'chatcmpl-stream-123',
+      object: 'chat.completion.chunk',
+      created: 1677652300,
+      model: params.model,
+      system_fingerprint: 'fp_stream_123',
+      choices: [
+        {
+          index: 0,
+          delta: {
+            role: 'assistant',
+            content: 'Hello',
+          },
+          finish_reason: null,
+        },
+      ],
+    };
+
+    // Second chunk with more content
+    yield {
+      id: 'chatcmpl-stream-123',
+      object: 'chat.completion.chunk',
+      created: 1677652300,
+      model: params.model,
+      system_fingerprint: 'fp_stream_123',
+      choices: [
+        {
+          index: 0,
+          delta: {
+            content: ' from OpenAI streaming!',
+          },
+          finish_reason: 'stop',
+        },
+      ],
+      usage: {
+        prompt_tokens: 12,
+        completion_tokens: 18,
+        total_tokens: 30,
+        completion_tokens_details: {
+          accepted_prediction_tokens: 0,
+          audio_tokens: 0,
+          reasoning_tokens: 0,
+          rejected_prediction_tokens: 0,
+        },
+        prompt_tokens_details: {
+          audio_tokens: 0,
+          cached_tokens: 0,
+        },
+      },
+    };
+  }
+
+  // Create a mock streaming response for responses API
+  async *_createResponsesApiStream(params) {
+    // Response created event
+    yield {
+      type: 'response.created',
+      response: {
+        id: 'resp_stream_456',
+        object: 'response',
+        created_at: 1677652310,
+        model: params.model,
+        status: 'in_progress',
+        error: null,
+        incomplete_details: null,
+        instructions: params.instructions,
+        max_output_tokens: 1000,
+        parallel_tool_calls: false,
+        previous_response_id: null,
+        reasoning: {
+          effort: null,
+          summary: null,
+        },
+        store: false,
+        temperature: 0.7,
+        text: {
+          format: {
+            type: 'text',
+          },
+        },
+        tool_choice: 'auto',
+        top_p: 1.0,
+        truncation: 'disabled',
+        user: null,
+        metadata: {},
+        output: [],
+        output_text: '',
+        usage: {
+          input_tokens: 0,
+          output_tokens: 0,
+          total_tokens: 0,
+        },
+      },
+      sequence_number: 1,
+    };
+
+    // Response in progress with output text delta
+    yield {
+      type: 'response.output_text.delta',
+      delta: 'Streaming response to: ',
+      sequence_number: 2,
+    };
+
+    yield {
+      type: 'response.output_text.delta',
+      delta: params.input,
+      sequence_number: 3,
+    };
+
+    // Response completed event
+    yield {
+      type: 'response.completed',
+      response: {
+        id: 'resp_stream_456',
+        object: 'response',
+        created_at: 1677652310,
+        model: params.model,
+        status: 'completed',
+        error: null,
+        incomplete_details: null,
+        instructions: params.instructions,
+        max_output_tokens: 1000,
+        parallel_tool_calls: false,
+        previous_response_id: null,
+        reasoning: {
+          effort: null,
+          summary: null,
+        },
+        store: false,
+        temperature: 0.7,
+        text: {
+          format: {
+            type: 'text',
+          },
+        },
+        tool_choice: 'auto',
+        top_p: 1.0,
+        truncation: 'disabled',
+        user: null,
+        metadata: {},
+        output: [],
+        output_text: params.input,
+        usage: {
+          input_tokens: 6,
+          output_tokens: 10,
+          total_tokens: 16,
+        },
+      },
+      sequence_number: 4,
+    };
+  }
+}
+
+async function run() {
+  await Sentry.startSpan({ op: 'function', name: 'main' }, async () => {
+    const mockClient = new MockOpenAI({
+      apiKey: 'mock-api-key',
+    });
+
+    const client = instrumentOpenAiClient(mockClient);
+
+    // First test: basic chat completion
+    await client.chat.completions.create({
+      model: 'gpt-3.5-turbo',
+      messages: [
+        { role: 'system', content: 'You are a helpful assistant.' },
+        { role: 'user', content: 'What is the capital of France?' },
+      ],
+      temperature: 0.7,
+      max_tokens: 100,
+    });
+
+    // Second test: responses API
+    await client.responses.create({
+      model: 'gpt-3.5-turbo',
+      input: 'Translate this to French: Hello',
+      instructions: 'You are a translator',
+    });
+
+    // Third test: error handling in chat completions
+    try {
+      await client.chat.completions.create({
+        model: 'error-model',
+        messages: [{ role: 'user', content: 'This will fail' }],
+      });
+    } catch {
+      // Error is expected and handled
+    }
+
+    // Fourth test: chat completions streaming
+    const stream1 = await client.chat.completions.create({
+      model: 'gpt-4',
+      messages: [
+        { role: 'system', content: 'You are a helpful assistant.' },
+        { role: 'user', content: 'Tell me about streaming' },
+      ],
+      stream: true,
+      temperature: 0.8,
+    });
+
+    // Consume the stream to trigger span instrumentation
+    for await (const chunk of stream1) {
+      // Stream chunks are processed automatically by instrumentation
+      void chunk; // Prevent unused variable warning
+    }
+
+    // Fifth test: responses API streaming
+    const stream2 = await client.responses.create({
+      model: 'gpt-4',
+      input: 'Test streaming responses API',
+      instructions: 'You are a streaming assistant',
+      stream: true,
+    });
+
+    for await (const chunk of stream2) {
+      void chunk;
+    }
+
+    // Sixth test: error handling in streaming context
+    try {
+      const errorStream = await client.chat.completions.create({
+        model: 'error-model',
+        messages: [{ role: 'user', content: 'This will fail' }],
+        stream: true,
+      });
+
+      // Try to consume the stream (this should not execute)
+      for await (const chunk of errorStream) {
+        void chunk;
+      }
+    } catch {
+      // Error is expected and handled
+    }
+  });
+}
+
+run();