feat(core,node): Add instrumentation for GoogleGenAI

dev-packages/node-integration-tests/suites/tracing/google-genai/instrument-with-options.mjs

@@ -0,0 +1,23 @@
+import * as Sentry from '@sentry/node';
+import { loggingTransport } from '@sentry-internal/node-integration-tests';
+
+Sentry.init({
+  dsn: 'https://[email protected]/1337',
+  release: '1.0',
+  tracesSampleRate: 1.0,
+  sendDefaultPii: false,
+  transport: loggingTransport,
+  integrations: [
+    Sentry.googleGenAIIntegration({
+      recordInputs: true,
+      recordOutputs: true,
+    }),
+  ],
+  beforeSendTransaction: event => {
+    // Filter out mock express server transactions
+    if (event.transaction.includes('/v1beta/')) {
+      return null;
+    }
+    return event;
+  },
+});

dev-packages/node-integration-tests/suites/tracing/google-genai/instrument-with-pii.mjs

@@ -0,0 +1,18 @@
+import * as Sentry from '@sentry/node';
+import { loggingTransport } from '@sentry-internal/node-integration-tests';
+
+Sentry.init({
+  dsn: 'https://[email protected]/1337',
+  release: '1.0',
+  tracesSampleRate: 1.0,
+  sendDefaultPii: true,
+  transport: loggingTransport,
+  integrations: [Sentry.googleGenAIIntegration()],
+  beforeSendTransaction: event => {
+    // Filter out mock express server transactions
+    if (event.transaction.includes('/v1beta/')) {
+      return null;
+    }
+    return event;
+  },
+});

dev-packages/node-integration-tests/suites/tracing/google-genai/instrument.mjs

@@ -0,0 +1,18 @@
+import * as Sentry from '@sentry/node';
+import { loggingTransport } from '@sentry-internal/node-integration-tests';
+
+Sentry.init({
+  dsn: 'https://[email protected]/1337',
+  release: '1.0',
+  tracesSampleRate: 1.0,
+  sendDefaultPii: false,
+  transport: loggingTransport,
+  integrations: [Sentry.googleGenAIIntegration()],
+  beforeSendTransaction: event => {
+    // Filter out mock express server transactions
+    if (event.transaction.includes('/v1beta')) {
+      return null;
+    }
+    return event;
+  },
+});

dev-packages/node-integration-tests/suites/tracing/google-genai/scenario.mjs

@@ -0,0 +1,109 @@
+import { GoogleGenAI } from '@google/genai';
+import * as Sentry from '@sentry/node';
+import express from 'express';
+
+const PORT = 3333;
+
+function startMockGoogleGenAIServer() {
+  const app = express();
+  app.use(express.json());
+
+  app.post('/v1beta/models/:model\\:generateContent', (req, res) => {
+    const model = req.params.model;
+
+    if (model === 'error-model') {
+      res.status(404).set('x-request-id', 'mock-request-123').end('Model not found');
+      return;
+    }
+
+    res.send({
+      candidates: [
+        {
+          content: {
+            parts: [
+              {
+                text: 'Mock response from Google GenAI!',
+              },
+            ],
+            role: 'model',
+          },
+          finishReason: 'stop',
+          index: 0,
+        },
+      ],
+      usageMetadata: {
+        promptTokenCount: 8,
+        candidatesTokenCount: 12,
+        totalTokenCount: 20,
+      },
+    });
+  });
+
+  return app.listen(PORT);
+}
+
+async function run() {
+  const server = startMockGoogleGenAIServer();
+
+  await Sentry.startSpan({ op: 'function', name: 'main' }, async () => {
+    const client = new GoogleGenAI({
+      apiKey: 'mock-api-key',
+      httpOptions: { baseUrl: `http://localhost:${PORT}` }
+    });
+
+    // Test 1: chats.create and sendMessage flow
+    const chat = client.chats.create({
+      model: 'gemini-1.5-pro',
+      config: {
+        temperature: 0.8,
+        topP: 0.9,
+        maxOutputTokens: 150,
+      },
+      history: [
+        {
+          role: 'user',
+          parts: [{ text: 'Hello, how are you?' }],
+        },
+      ],
+    });
+
+    await chat.sendMessage({
+      message: 'Tell me a joke',
+    });
+
+    // Test 2: models.generateContent
+    await client.models.generateContent({
+      model: 'gemini-1.5-flash',
+      config: {
+        temperature: 0.7,
+        topP: 0.9,
+        maxOutputTokens: 100,
+      },
+      contents: [
+        {
+          role: 'user',
+          parts: [{ text: 'What is the capital of France?' }],
+        },
+      ],
+    });
+
+    // Test 3: Error handling
+    try {
+      await client.models.generateContent({
+        model: 'error-model',
+        contents: [
+          {
+            role: 'user',
+            parts: [{ text: 'This will fail' }],
+          },
+        ],
+      });
+    } catch (error) {
+      // Expected error
+    }
+  });
+
+  server.close();
+}
+
+run();

dev-packages/node-integration-tests/suites/tracing/google-genai/test.ts

@@ -0,0 +1,205 @@
+import { afterAll, describe, expect } from 'vitest';
+import { cleanupChildProcesses, createEsmAndCjsTests } from '../../../utils/runner';
+
+describe('Google GenAI integration', () => {
+  afterAll(() => {
+    cleanupChildProcesses();
+  });
+
+  const EXPECTED_TRANSACTION_DEFAULT_PII_FALSE = {
+    transaction: 'main',
+    spans: expect.arrayContaining([
+      // First span - chats.create
+      expect.objectContaining({
+        data: {
+          'gen_ai.operation.name': 'chat',
+          'sentry.op': 'gen_ai.chat',
+          'sentry.origin': 'auto.ai.google_genai',
+          'gen_ai.system': 'google_genai',
+          'gen_ai.request.model': 'gemini-1.5-pro',
+          'gen_ai.request.temperature': 0.8,
+          'gen_ai.request.top_p': 0.9,
+          'gen_ai.request.max_tokens': 150,
+        },
+        description: 'chat gemini-1.5-pro create',
+        op: 'gen_ai.chat',
+        origin: 'auto.ai.google_genai',
+        status: 'ok',
+      }),
+      // Second span - chat.sendMessage (should get model from context)
+      expect.objectContaining({
+        data: {
+          'gen_ai.operation.name': 'chat',
+          'sentry.op': 'gen_ai.chat',
+          'sentry.origin': 'auto.ai.google_genai',
+          'gen_ai.system': 'google_genai',
+          'gen_ai.request.model': 'gemini-1.5-pro', // Should get from chat context
+          'gen_ai.usage.input_tokens': 8,
+          'gen_ai.usage.output_tokens': 12,
+          'gen_ai.usage.total_tokens': 20,
+        },
+        description: 'chat gemini-1.5-pro',
+        op: 'gen_ai.chat',
+        origin: 'auto.ai.google_genai',
+        status: 'ok',
+      }),
+      // Third span - models.generateContent
+      expect.objectContaining({
+        data: {
+          'gen_ai.operation.name': 'models',
+          'sentry.op': 'gen_ai.models',
+          'sentry.origin': 'auto.ai.google_genai',
+          'gen_ai.system': 'google_genai',
+          'gen_ai.request.model': 'gemini-1.5-flash',
+          'gen_ai.request.temperature': 0.7,
+          'gen_ai.request.top_p': 0.9,
+          'gen_ai.request.max_tokens': 100,
+          'gen_ai.usage.input_tokens': 8,
+          'gen_ai.usage.output_tokens': 12,
+          'gen_ai.usage.total_tokens': 20,
+        },
+        description: 'models gemini-1.5-flash',
+        op: 'gen_ai.models',
+        origin: 'auto.ai.google_genai',
+        status: 'ok',
+      }),
+      // Fourth span - error handling
+      expect.objectContaining({
+        data: {
+          'gen_ai.operation.name': 'models',
+          'sentry.op': 'gen_ai.models',
+          'sentry.origin': 'auto.ai.google_genai',
+          'gen_ai.system': 'google_genai',
+          'gen_ai.request.model': 'error-model',
+        },
+        description: 'models error-model',
+        op: 'gen_ai.models',
+        origin: 'auto.ai.google_genai',
+        status: 'unknown_error',
+      }),
+    ]),
+  };
+
+  const EXPECTED_TRANSACTION_DEFAULT_PII_TRUE = {
+    transaction: 'main',
+    spans: expect.arrayContaining([
+      // First span - chats.create with PII
+      expect.objectContaining({
+        data: expect.objectContaining({
+          'gen_ai.operation.name': 'chat',
+          'sentry.op': 'gen_ai.chat',
+          'sentry.origin': 'auto.ai.google_genai',
+          'gen_ai.system': 'google_genai',
+          'gen_ai.request.model': 'gemini-1.5-pro',
+          'gen_ai.request.temperature': 0.8,
+          'gen_ai.request.top_p': 0.9,
+          'gen_ai.request.max_tokens': 150,
+          'gen_ai.request.messages': expect.any(String), // Should include history when recordInputs: true
+        }),
+        description: 'chat gemini-1.5-pro create',
+        op: 'gen_ai.chat',
+        origin: 'auto.ai.google_genai',
+        status: 'ok',
+      }),
+      // Second span - chat.sendMessage with PII
+      expect.objectContaining({
+        data: expect.objectContaining({
+          'gen_ai.operation.name': 'chat',
+          'sentry.op': 'gen_ai.chat',
+          'sentry.origin': 'auto.ai.google_genai',
+          'gen_ai.system': 'google_genai',
+          'gen_ai.request.model': 'gemini-1.5-pro',
+          'gen_ai.request.messages': expect.any(String), // Should include message when recordInputs: true
+          'gen_ai.response.text': expect.any(String), // Should include response when recordOutputs: true
+          'gen_ai.usage.input_tokens': 8,
+          'gen_ai.usage.output_tokens': 12,
+          'gen_ai.usage.total_tokens': 20,
+        }),
+        description: 'chat gemini-1.5-pro',
+        op: 'gen_ai.chat',
+        origin: 'auto.ai.google_genai',
+        status: 'ok',
+      }),
+      // Third span - models.generateContent with PII
+      expect.objectContaining({
+        data: expect.objectContaining({
+          'gen_ai.operation.name': 'models',
+          'sentry.op': 'gen_ai.models',
+          'sentry.origin': 'auto.ai.google_genai',
+          'gen_ai.system': 'google_genai',
+          'gen_ai.request.model': 'gemini-1.5-flash',
+          'gen_ai.request.temperature': 0.7,
+          'gen_ai.request.top_p': 0.9,
+          'gen_ai.request.max_tokens': 100,
+          'gen_ai.request.messages': expect.any(String), // Should include contents when recordInputs: true
+          'gen_ai.response.text': expect.any(String), // Should include response when recordOutputs: true
+          'gen_ai.usage.input_tokens': 8,
+          'gen_ai.usage.output_tokens': 12,
+          'gen_ai.usage.total_tokens': 20,
+        }),
+        description: 'models gemini-1.5-flash',
+        op: 'gen_ai.models',
+        origin: 'auto.ai.google_genai',
+        status: 'ok',
+      }),
+      // Fourth span - error handling with PII
+      expect.objectContaining({
+        data: expect.objectContaining({
+          'gen_ai.operation.name': 'models',
+          'sentry.op': 'gen_ai.models',
+          'sentry.origin': 'auto.ai.google_genai',
+          'gen_ai.system': 'google_genai',
+          'gen_ai.request.model': 'error-model',
+          'gen_ai.request.messages': expect.any(String), // Should include contents when recordInputs: true
+        }),
+        description: 'models error-model',
+        op: 'gen_ai.models',
+        origin: 'auto.ai.google_genai',
+        status: 'unknown_error',
+      }),
+    ]),
+  };
+
+  const EXPECTED_TRANSACTION_WITH_OPTIONS = {
+    transaction: 'main',
+    spans: expect.arrayContaining([
+      // Check that custom options are respected
+      expect.objectContaining({
+        data: expect.objectContaining({
+          'gen_ai.request.messages': expect.any(String), // Should include messages when recordInputs: true
+          'gen_ai.response.text': expect.any(String), // Should include response text when recordOutputs: true
+        }),
+      }),
+    ]),
+  };
+
+  createEsmAndCjsTests(__dirname, 'scenario.mjs', 'instrument.mjs', (createRunner, test) => {
+    test('creates google genai related spans with sendDefaultPii: false', async () => {
+      await createRunner()
+        .ignore('event')
+        .expect({ transaction: EXPECTED_TRANSACTION_DEFAULT_PII_FALSE })
+        .start()
+        .completed();
+    });
+  });
+
+  createEsmAndCjsTests(__dirname, 'scenario.mjs', 'instrument-with-pii.mjs', (createRunner, test) => {
+    test('creates google genai related spans with sendDefaultPii: true', async () => {
+      await createRunner()
+        .ignore('event')
+        .expect({ transaction: EXPECTED_TRANSACTION_DEFAULT_PII_TRUE })
+        .start()
+        .completed();
+    });
+  });
+
+  createEsmAndCjsTests(__dirname, 'scenario.mjs', 'instrument-with-options.mjs', (createRunner, test) => {
+    test('creates google genai related spans with custom options', async () => {
+      await createRunner()
+        .ignore('event')
+        .expect({ transaction: EXPECTED_TRANSACTION_WITH_OPTIONS })
+        .start()
+        .completed();
+    });
+  });
+});

packages/astro/src/index.server.ts

@@ -15,6 +15,7 @@ export {
   anthropicAIIntegration,
   // eslint-disable-next-line deprecation/deprecation
   anrIntegration,
+  googleGenAIIntegration,
   // eslint-disable-next-line deprecation/deprecation
   disableAnrDetectionForCallback,
   captureCheckIn,

packages/aws-serverless/src/index.ts

@@ -125,6 +125,7 @@ export {
   profiler,
   amqplibIntegration,
   anthropicAIIntegration,
+  googleGenAIIntegration,
   vercelAIIntegration,
   logger,
   consoleLoggingIntegration,