From 7aaece33ffe4f89e4dd4bc27d4e5bd0ad028c27f Mon Sep 17 00:00:00 2001 From: RulaKhaled Date: 2025年9月11日 13:56:54 +0200 Subject: [PATCH 01/22] feat: Add instrumentation for google genai --- .../google-genai/instrument-with-options.mjs | 17 + .../google-genai/instrument-with-pii.mjs | 12 + .../tracing/google-genai/instrument.mjs | 12 + .../suites/tracing/google-genai/scenario.mjs | 139 +++++++ .../suites/tracing/google-genai/test.ts | 205 ++++++++++ packages/core/src/index.ts | 8 + .../core/src/utils/ai/gen-ai-attributes.ts | 12 + packages/core/src/utils/ai/utils.ts | 3 + .../core/src/utils/google-genai/constants.ts | 11 + packages/core/src/utils/google-genai/index.ts | 360 ++++++++++++++++++ packages/core/src/utils/google-genai/types.ts | 218 +++++++++++ packages/core/src/utils/google-genai/utils.ts | 16 + packages/node/src/index.ts | 1 + .../tracing/google-genai/index.ts | 74 ++++ .../tracing/google-genai/instrumentation.ts | 120 ++++++ .../node/src/integrations/tracing/index.ts | 3 + 16 files changed, 1211 insertions(+) create mode 100644 dev-packages/node-integration-tests/suites/tracing/google-genai/instrument-with-options.mjs create mode 100644 dev-packages/node-integration-tests/suites/tracing/google-genai/instrument-with-pii.mjs create mode 100644 dev-packages/node-integration-tests/suites/tracing/google-genai/instrument.mjs create mode 100644 dev-packages/node-integration-tests/suites/tracing/google-genai/scenario.mjs create mode 100644 dev-packages/node-integration-tests/suites/tracing/google-genai/test.ts create mode 100644 packages/core/src/utils/google-genai/constants.ts create mode 100644 packages/core/src/utils/google-genai/index.ts create mode 100644 packages/core/src/utils/google-genai/types.ts create mode 100644 packages/core/src/utils/google-genai/utils.ts create mode 100644 packages/node/src/integrations/tracing/google-genai/index.ts create mode 100644 packages/node/src/integrations/tracing/google-genai/instrumentation.ts diff --git a/dev-packages/node-integration-tests/suites/tracing/google-genai/instrument-with-options.mjs b/dev-packages/node-integration-tests/suites/tracing/google-genai/instrument-with-options.mjs new file mode 100644 index 000000000000..aad9344b0738 --- /dev/null +++ b/dev-packages/node-integration-tests/suites/tracing/google-genai/instrument-with-options.mjs @@ -0,0 +1,17 @@ +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, + registerEsmLoaderHooks: false, + integrations: [ + Sentry.googleGenAIIntegration({ + recordInputs: true, + recordOutputs: true, + }), + ], +}); diff --git a/dev-packages/node-integration-tests/suites/tracing/google-genai/instrument-with-pii.mjs b/dev-packages/node-integration-tests/suites/tracing/google-genai/instrument-with-pii.mjs new file mode 100644 index 000000000000..e6f4fdadb35e --- /dev/null +++ b/dev-packages/node-integration-tests/suites/tracing/google-genai/instrument-with-pii.mjs @@ -0,0 +1,12 @@ +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, + registerEsmLoaderHooks: false, + integrations: [Sentry.googleGenAIIntegration()], +}); diff --git a/dev-packages/node-integration-tests/suites/tracing/google-genai/instrument.mjs b/dev-packages/node-integration-tests/suites/tracing/google-genai/instrument.mjs new file mode 100644 index 000000000000..41c1eb218620 --- /dev/null +++ b/dev-packages/node-integration-tests/suites/tracing/google-genai/instrument.mjs @@ -0,0 +1,12 @@ +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, + registerEsmLoaderHooks: false, + integrations: [Sentry.googleGenAIIntegration()], +}); diff --git a/dev-packages/node-integration-tests/suites/tracing/google-genai/scenario.mjs b/dev-packages/node-integration-tests/suites/tracing/google-genai/scenario.mjs new file mode 100644 index 000000000000..ae89ff203f7e --- /dev/null +++ b/dev-packages/node-integration-tests/suites/tracing/google-genai/scenario.mjs @@ -0,0 +1,139 @@ +import { instrumentGoogleGenAIClient } from '@sentry/core'; +import * as Sentry from '@sentry/node'; + +class MockGoogleGenAI { + constructor(config) { + this.apiKey = config.apiKey; + + this.models = { + generateContent: 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; + throw error; + } + + return { + candidates: [ + { + content: { + parts: [ + { + text: params.contents + ? 'The capital of France is Paris.' + : 'Mock response from Google GenAI!', + }, + ], + role: 'model', + }, + finishReason: 'stop', + index: 0, + }, + ], + usageMetadata: { + promptTokenCount: 8, + candidatesTokenCount: 12, + totalTokenCount: 20, + }, + }; + }, + }; + + this.chats = { + create: () => { + // Return a chat instance with sendMessage method + return { + sendMessage: async () => { + // Simulate processing time + await new Promise(resolve => setTimeout(resolve, 10)); + + return { + candidates: [ + { + content: { + parts: [ + { + text: 'Mock response from Google GenAI!', + }, + ], + role: 'model', + }, + finishReason: 'stop', + index: 0, + }, + ], + usageMetadata: { + promptTokenCount: 10, + candidatesTokenCount: 15, + totalTokenCount: 25, + }, + }; + }, + }; + }, + }; + } +} + +async function run() { + const genAI = new MockGoogleGenAI({ apiKey: 'test-api-key' }); + const instrumentedClient = instrumentGoogleGenAIClient(genAI); + + await Sentry.startSpan({ name: 'main', op: 'function' }, async () => { + // Test 1: chats.create and sendMessage flow + const chat = instrumentedClient.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 instrumentedClient.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 instrumentedClient.models.generateContent({ + model: 'error-model', + contents: [ + { + role: 'user', + parts: [{ text: 'This will fail' }], + }, + ], + }); + } catch (error) { + // Expected error + } + }); +} + +run(); diff --git a/dev-packages/node-integration-tests/suites/tracing/google-genai/test.ts b/dev-packages/node-integration-tests/suites/tracing/google-genai/test.ts new file mode 100644 index 000000000000..0d993c87c3d3 --- /dev/null +++ b/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': 10, + 'gen_ai.usage.output_tokens': 15, + 'gen_ai.usage.total_tokens': 25, + }, + 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': 10, + 'gen_ai.usage.output_tokens': 15, + 'gen_ai.usage.total_tokens': 25, + }), + 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(); + }); + }); +}); diff --git a/packages/core/src/index.ts b/packages/core/src/index.ts index b971aa8b43a3..86200b0dd86f 100644 --- a/packages/core/src/index.ts +++ b/packages/core/src/index.ts @@ -131,6 +131,8 @@ export { instrumentOpenAiClient } from './utils/openai'; export { OPENAI_INTEGRATION_NAME } from './utils/openai/constants'; export { instrumentAnthropicAiClient } from './utils/anthropic-ai'; export { ANTHROPIC_AI_INTEGRATION_NAME } from './utils/anthropic-ai/constants'; +export { instrumentGoogleGenAIClient } from './utils/google-genai'; +export { GOOGLE_GENAI_INTEGRATION_NAME } from './utils/google-genai/constants'; export type { OpenAiClient, OpenAiOptions, InstrumentedMethod } from './utils/openai/types'; export type { AnthropicAiClient, @@ -138,6 +140,12 @@ export type { AnthropicAiInstrumentedMethod, AnthropicAiResponse, } from './utils/anthropic-ai/types'; +export type { + GoogleGenAIClient, + GoogleGenAIChat, + GoogleGenAIOptions, + GoogleGenAIIstrumentedMethod, +} from './utils/google-genai/types'; export type { FeatureFlag } from './utils/featureFlags'; export { diff --git a/packages/core/src/utils/ai/gen-ai-attributes.ts b/packages/core/src/utils/ai/gen-ai-attributes.ts index 9124602644e4..406630daef5d 100644 --- a/packages/core/src/utils/ai/gen-ai-attributes.ts +++ b/packages/core/src/utils/ai/gen-ai-attributes.ts @@ -178,3 +178,15 @@ export const OPENAI_OPERATIONS = { * The response timestamp from Anthropic AI (ISO string) */ export const ANTHROPIC_AI_RESPONSE_TIMESTAMP_ATTRIBUTE = 'anthropic.response.timestamp'; + +// ============================================================================= +// GOOGLE GENAI OPERATIONS +// ============================================================================= + +/** + * Google GenAI API operations + */ +export const GOOGLE_GENAI_OPERATIONS = { + GENERATE_CONTENT: 'generateContent', + STREAM_GENERATE_CONTENT: 'streamGenerateContent', +} as const; diff --git a/packages/core/src/utils/ai/utils.ts b/packages/core/src/utils/ai/utils.ts index 2a2952ce6ad8..ecb46d5f0d0d 100644 --- a/packages/core/src/utils/ai/utils.ts +++ b/packages/core/src/utils/ai/utils.ts @@ -20,6 +20,9 @@ export function getFinalOperationName(methodPath: string): string { if (methodPath.includes('models')) { return 'models'; } + if (methodPath.includes('chat')) { + return 'chat'; + } return methodPath.split('.').pop() || 'unknown'; } diff --git a/packages/core/src/utils/google-genai/constants.ts b/packages/core/src/utils/google-genai/constants.ts new file mode 100644 index 000000000000..ba8bca2f7218 --- /dev/null +++ b/packages/core/src/utils/google-genai/constants.ts @@ -0,0 +1,11 @@ +export const GOOGLE_GENAI_INTEGRATION_NAME = 'Google_GenAI'; + +// https://ai.google.dev/api/rest/v1/models/generateContent +// https://ai.google.dev/api/rest/v1/chats/sendMessage +export const GOOGLE_GENAI_INSTRUMENTED_METHODS = ['models.generateContent', 'chats.create', 'sendMessage'] as const; + +// Constants for internal use +export const GOOGLE_GENAI_MODEL_PROPERTY = '_sentryGoogleGenAIModel'; +export const GOOGLE_GENAI_SYSTEM_NAME = 'google_genai'; +export const CHATS_CREATE_METHOD = 'chats.create'; +export const CHAT_PATH = 'chat'; diff --git a/packages/core/src/utils/google-genai/index.ts b/packages/core/src/utils/google-genai/index.ts new file mode 100644 index 000000000000..b6b48abdf387 --- /dev/null +++ b/packages/core/src/utils/google-genai/index.ts @@ -0,0 +1,360 @@ +import { getCurrentScope } from '../../currentScopes'; +import { captureException } from '../../exports'; +import { SEMANTIC_ATTRIBUTE_SENTRY_ORIGIN } from '../../semanticAttributes'; +import { startSpan } from '../../tracing/trace'; +import type { Span, SpanAttributeValue } from '../../types-hoist/span'; +import { + GEN_AI_OPERATION_NAME_ATTRIBUTE, + GEN_AI_REQUEST_FREQUENCY_PENALTY_ATTRIBUTE, + GEN_AI_REQUEST_MAX_TOKENS_ATTRIBUTE, + GEN_AI_REQUEST_MESSAGES_ATTRIBUTE, + GEN_AI_REQUEST_MODEL_ATTRIBUTE, + GEN_AI_REQUEST_PRESENCE_PENALTY_ATTRIBUTE, + GEN_AI_REQUEST_TEMPERATURE_ATTRIBUTE, + GEN_AI_REQUEST_TOP_K_ATTRIBUTE, + GEN_AI_REQUEST_TOP_P_ATTRIBUTE, + GEN_AI_RESPONSE_TEXT_ATTRIBUTE, + GEN_AI_SYSTEM_ATTRIBUTE, + GEN_AI_USAGE_INPUT_TOKENS_ATTRIBUTE, + GEN_AI_USAGE_OUTPUT_TOKENS_ATTRIBUTE, + GEN_AI_USAGE_TOTAL_TOKENS_ATTRIBUTE, +} from '../ai/gen-ai-attributes'; +import { buildMethodPath, getFinalOperationName, getSpanOperation } from '../ai/utils'; +import { isThenable } from '../is'; +import { + CHAT_PATH, + CHATS_CREATE_METHOD, + GOOGLE_GENAI_INTEGRATION_NAME, + GOOGLE_GENAI_MODEL_PROPERTY, + GOOGLE_GENAI_SYSTEM_NAME, +} from './constants'; +import type { + Candidate, + ContentPart, + GoogleGenAIIntegration, + GoogleGenAIIstrumentedMethod, + GoogleGenAIOptions, + GoogleGenAIResponse, +} from './types'; +import { shouldInstrument } from './utils'; + +/** + * Extract model from parameters or context + * For chat instances, the model is stored during chat creation and retrieved from context + */ +export function extractModel(params: Record, context?: unknown): string { + if ('model' in params && typeof params.model === 'string') { + return params.model; + } + + // For chat instances, try to get the model from the chat context + // This is because the model is set during chat creation + // and not passed as a parameter to the chat.sendMessage method + if (context && typeof context === 'object') { + const chatObj = context as Record; + if (chatObj[GOOGLE_GENAI_MODEL_PROPERTY] && typeof chatObj[GOOGLE_GENAI_MODEL_PROPERTY] === 'string') { + return chatObj[GOOGLE_GENAI_MODEL_PROPERTY] as string; + } + } + + return 'unknown'; +} + +/** + * Extract generation config parameters + */ +function extractConfigAttributes(config: Record): Record { + const attributes: Record = {}; + + if ('temperature' in config && typeof config.temperature === 'number') { + attributes[GEN_AI_REQUEST_TEMPERATURE_ATTRIBUTE] = config.temperature; + } + if ('topP' in config && typeof config.topP === 'number') { + attributes[GEN_AI_REQUEST_TOP_P_ATTRIBUTE] = config.topP; + } + if ('topK' in config && typeof config.topK === 'number') { + attributes[GEN_AI_REQUEST_TOP_K_ATTRIBUTE] = config.topK; + } + if ('maxOutputTokens' in config && typeof config.maxOutputTokens === 'number') { + attributes[GEN_AI_REQUEST_MAX_TOKENS_ATTRIBUTE] = config.maxOutputTokens; + } + if ('frequencyPenalty' in config && typeof config.frequencyPenalty === 'number') { + attributes[GEN_AI_REQUEST_FREQUENCY_PENALTY_ATTRIBUTE] = config.frequencyPenalty; + } + if ('presencePenalty' in config && typeof config.presencePenalty === 'number') { + attributes[GEN_AI_REQUEST_PRESENCE_PENALTY_ATTRIBUTE] = config.presencePenalty; + } + + return attributes; +} + +/** + * Extract request attributes from method arguments + * Builds the base attributes for span creation including system info, model, and config + */ +function extractRequestAttributes( + args: unknown[], + methodPath: string, + context?: unknown, +): Record { + const attributes: Record = { + [GEN_AI_SYSTEM_ATTRIBUTE]: GOOGLE_GENAI_SYSTEM_NAME, + [GEN_AI_OPERATION_NAME_ATTRIBUTE]: getFinalOperationName(methodPath), + [SEMANTIC_ATTRIBUTE_SENTRY_ORIGIN]: 'auto.ai.google_genai', + }; + + if (args.length> 0 && typeof args[0] === 'object' && args[0] !== null) { + const params = args[0] as Record; + + attributes[GEN_AI_REQUEST_MODEL_ATTRIBUTE] = extractModel(params, context); + + // Extract generation config parameters + if ('config' in params && typeof params.config === 'object' && params.config) { + Object.assign(attributes, extractConfigAttributes(params.config as Record)); + } + } else { + attributes[GEN_AI_REQUEST_MODEL_ATTRIBUTE] = extractModel({}, context); + } + + return attributes; +} + +/** + * Add private request attributes to spans. + * This is only recorded if recordInputs is true. + * Handles different parameter formats for different Google GenAI methods. + */ +function addPrivateRequestAttributes(span: Span, params: Record): void { + // For models.generateContent: ContentListUnion: Content | Content[] | PartUnion | PartUnion[] + if ('contents' in params) { + span.setAttributes({ [GEN_AI_REQUEST_MESSAGES_ATTRIBUTE]: JSON.stringify(params.contents) }); + } + + // For chat.sendMessage: message can be string or Part[] + if ('message' in params) { + span.setAttributes({ [GEN_AI_REQUEST_MESSAGES_ATTRIBUTE]: JSON.stringify(params.message) }); + } + + // For chats.create: history contains the conversation history + if ('history' in params) { + span.setAttributes({ [GEN_AI_REQUEST_MESSAGES_ATTRIBUTE]: JSON.stringify(params.history) }); + } +} + +/** + * Add response attributes from the Google GenAI response + * @see https://github.com/googleapis/js-genai/blob/v1.19.0/src/types.ts#L2313 + */ +function addResponseAttributes(span: Span, response: GoogleGenAIResponse, recordOutputs?: boolean): void { + if (!response || typeof response !== 'object') return; + + // Add usage metadata if present + if (response.usageMetadata && typeof response.usageMetadata === 'object') { + const usage = response.usageMetadata; + if (typeof usage.promptTokenCount === 'number') { + span.setAttributes({ + [GEN_AI_USAGE_INPUT_TOKENS_ATTRIBUTE]: usage.promptTokenCount, + }); + } + if (typeof usage.candidatesTokenCount === 'number') { + span.setAttributes({ + [GEN_AI_USAGE_OUTPUT_TOKENS_ATTRIBUTE]: usage.candidatesTokenCount, + }); + } + if (typeof usage.totalTokenCount === 'number') { + span.setAttributes({ + [GEN_AI_USAGE_TOTAL_TOKENS_ATTRIBUTE]: usage.totalTokenCount, + }); + } + } + + // Add response text if recordOutputs is enabled + if (recordOutputs && Array.isArray(response.candidates) && response.candidates.length> 0) { + const responseTexts = response.candidates + .map((candidate: Candidate) => { + if (candidate.content?.parts && Array.isArray(candidate.content.parts)) { + return candidate.content.parts + .map((part: ContentPart) => (typeof part.text === 'string' ? part.text : '')) + .filter((text: string) => text.length> 0) + .join(''); + } + return ''; + }) + .filter((text: string) => text.length> 0); + + if (responseTexts.length> 0) { + span.setAttributes({ + [GEN_AI_RESPONSE_TEXT_ATTRIBUTE]: responseTexts.join(''), + }); + } + } +} + +/** + * Get recording options from the Sentry integration configuration + * Falls back to sendDefaultPii setting if integration options are not specified + */ +function getRecordingOptionsFromIntegration(): GoogleGenAIOptions { + const scope = getCurrentScope(); + const client = scope.getClient(); + const integration = client?.getIntegrationByName(GOOGLE_GENAI_INTEGRATION_NAME) as GoogleGenAIIntegration | undefined; + const shouldRecordInputsAndOutputs = integration ? Boolean(client?.getOptions().sendDefaultPii) : false; + + return { + recordInputs: integration?.options?.recordInputs ?? shouldRecordInputsAndOutputs, + recordOutputs: integration?.options?.recordOutputs ?? shouldRecordInputsAndOutputs, + }; +} + +/** + * Instrument any async or synchronous genai method with Sentry spans + * Handles operations like models.generateContent and chat.sendMessage and chats.create + * @see https://docs.sentry.io/platforms/javascript/guides/node/tracing/instrumentation/ai-agents-module/#manual-instrumentation + */ +function instrumentMethod( + originalMethod: (...args: T) => R | Promise, + methodPath: GoogleGenAIIstrumentedMethod, + context: unknown, + options?: GoogleGenAIOptions, +): (...args: T) => R | Promise { + const isSyncCreate = !isThenable(originalMethod) && methodPath === CHATS_CREATE_METHOD; + + const run = (...args: T): R | Promise => { + const finalOptions = options || getRecordingOptionsFromIntegration(); + const requestAttributes = extractRequestAttributes(args, methodPath, context); + const model = requestAttributes[GEN_AI_REQUEST_MODEL_ATTRIBUTE] ?? 'unknown'; + const operationName = getFinalOperationName(methodPath); + + if (isSyncCreate) { + // Preserve sync return for chats.create + return startSpan( + { + name: `${operationName} ${model} create`, + op: getSpanOperation(methodPath), + attributes: requestAttributes, + }, + (span: Span) => { + try { + if (finalOptions.recordInputs && args[0] && typeof args[0] === 'object') { + addPrivateRequestAttributes(span, args[0] as Record); + } + const result = (originalMethod as (...args: T) => R).apply(context, args) as R; + + if (typeof model === 'string' && model !== 'unknown' && typeof result === 'object') { + // We store the model in the result object so that it can be accessed later + // This is because the model is not passed as a parameter to the chat.sendMessage method + (result as Record)[GOOGLE_GENAI_MODEL_PROPERTY] = model; + } + + // No response attributes for create (returns object of chat instance, not generated content) + return result; + } catch (error) { + captureException(error, { + mechanism: { handled: false, type: 'auto.ai.google_genai', data: { function: methodPath } }, + }); + throw error; + } + }, + ) as R; + } + + // Async/content-producing path + return startSpan( + { + name: `${operationName} ${model}`, + op: getSpanOperation(methodPath), + attributes: requestAttributes, + }, + async (span: Span) => { + try { + if (finalOptions.recordInputs && args[0] && typeof args[0] === 'object') { + addPrivateRequestAttributes(span, args[0] as Record); + } + + const result = await Promise.resolve((originalMethod as (...args: T) => Promise).apply(context, args)); + addResponseAttributes(span, result as GoogleGenAIResponse, finalOptions.recordOutputs); + return result as R; + } catch (error) { + captureException(error, { + mechanism: { handled: false, type: 'auto.ai.google_genai', data: { function: methodPath } }, + }); + throw error; + } + }, + ) as Promise; + }; + + return run; +} + +/** + * Create a deep proxy for Google GenAI client instrumentation + * Recursively instruments methods and handles special cases like chats.create + */ +function createDeepProxy(target: T, currentPath = '', options?: GoogleGenAIOptions): T { + return new Proxy(target, { + get(obj: object, prop: string): unknown { + const value = (obj as Record)[prop]; + const methodPath = buildMethodPath(currentPath, String(prop)); + + if (typeof value === 'function' && shouldInstrument(methodPath)) { + // Special case: chats.create is synchronous but needs both instrumentation AND result proxying + if (methodPath === CHATS_CREATE_METHOD) { + const instrumentedMethod = instrumentMethod( + value as (...args: unknown[]) => unknown, + methodPath, + obj, + options, + ); + return function instrumentedAndProxiedCreate(...args: unknown[]): unknown { + const result = instrumentedMethod(...args); + // If the result is an object (like a chat instance), proxy it too + if (result && typeof result === 'object') { + return createDeepProxy(result as object, CHAT_PATH, options); + } + return result; + }; + } + + return instrumentMethod(value as (...args: unknown[]) => Promise, methodPath, obj, options); + } + + if (typeof value === 'function') { + // Bind non-instrumented functions to preserve the original `this` context + return value.bind(obj); + } + + if (value && typeof value === 'object') { + return createDeepProxy(value as object, methodPath, options); + } + + return value; + }, + }) as T; +} + +/** + * Instrument a Google GenAI client with Sentry tracing + * Can be used across Node.js, Cloudflare Workers, and Vercel Edge + * + * @template T - The type of the client that extends client object + * @param client - The Google GenAI client to instrument + * @param options - Optional configuration for recording inputs and outputs + * @returns The instrumented client with the same type as the input + * + * @example + * ```typescript + * import { GoogleGenerativeAI } from '@google/genai'; + * import { instrumentGoogleGenAIClient } from '@sentry/core'; + * + * const genAI = new GoogleGenerativeAI({ apiKey: process.env.GOOGLE_GENAI_API_KEY }); + * const instrumentedClient = instrumentGoogleGenAIClient(genAI); + * + * // Now both chats.create and sendMessage will be instrumented + * const chat = instrumentedClient.chats.create({ model: 'gemini-1.5-pro' }); + * const response = await chat.sendMessage({ message: 'Hello' }); + * ``` + */ +export function instrumentGoogleGenAIClient(client: T, options?: GoogleGenAIOptions): T { + return createDeepProxy(client, '', options); +} diff --git a/packages/core/src/utils/google-genai/types.ts b/packages/core/src/utils/google-genai/types.ts new file mode 100644 index 000000000000..31221b8a2393 --- /dev/null +++ b/packages/core/src/utils/google-genai/types.ts @@ -0,0 +1,218 @@ +import type { GOOGLE_GENAI_INSTRUMENTED_METHODS } from './constants'; + +export interface GoogleGenAIOptions { + /** + * Enable or disable input recording. + */ + recordInputs?: boolean; + /** + * Enable or disable output recording. + */ + recordOutputs?: boolean; +} + +/** + * Google GenAI Content Part + * @see https://ai.google.dev/api/rest/v1/Content#Part + * @see https://github.com/googleapis/js-genai/blob/v1.19.0/src/types.ts#L1061 + * + */ +export type ContentPart = { + /** Metadata for a given video. */ + videoMetadata?: unknown; + /** Indicates if the part is thought from the model. */ + thought?: boolean; + /** Optional. Inlined bytes data. */ + inlineData?: Blob; + /** Optional. URI based data. */ + fileData?: unknown; + /** An opaque signature for the thought so it can be reused in subsequent requests. + * @remarks Encoded as base64 string. */ + thoughtSignature?: string; + /** A predicted [FunctionCall] returned from the model that contains a string + representing the [FunctionDeclaration.name] and a structured JSON object + containing the parameters and their values. */ + functionCall?: { + /** The unique id of the function call. If populated, the client to execute the + `function_call` and return the response with the matching `id`. */ + id?: string; + /** Optional. The function parameters and values in JSON object format. See [FunctionDeclaration.parameters] for parameter details. */ + args?: Record; + /** Required. The name of the function to call. Matches [FunctionDeclaration.name]. */ + name?: string; + }; + /** Optional. Result of executing the [ExecutableCode]. */ + codeExecutionResult?: unknown; + /** Optional. Code generated by the model that is meant to be executed. */ + executableCode?: unknown; + /** Optional. The result output of a [FunctionCall] that contains a string representing the [FunctionDeclaration.name] and a structured JSON object containing any output from the function call. It is used as context to the model. */ + functionResponse?: unknown; + /** Optional. Text part (can be code). */ + text?: string; +}; + +/** + * Google GenAI Content + * @see https://ai.google.dev/api/rest/v1/Content + */ +type Content = { + /** List of parts that constitute a single message. + * Each part may have a different IANA MIME type. */ + parts?: ContentPart[]; + /** Optional. The producer of the content. Must be either 'user' or + * 'model'. Useful to set for multi-turn conversations, otherwise can be + * empty. If role is not specified, SDK will determine the role. + */ + role?: string; +}; + +enum MediaModality { + /** + * The modality is unspecified. + */ + MODALITY_UNSPECIFIED = 'MODALITY_UNSPECIFIED', + /** + * Plain text. + */ + TEXT = 'TEXT', + /** + * Images. + */ + IMAGE = 'IMAGE', + /** + * Video. + */ + VIDEO = 'VIDEO', + /** + * Audio. + */ + AUDIO = 'AUDIO', + /** + * Document, e.g. PDF. + */ + DOCUMENT = 'DOCUMENT', +} + +/** + * Google GenAI Modality Token Count + * @see https://ai.google.dev/api/rest/v1/ModalityTokenCount + */ +type ModalityTokenCount = { + /** The modality associated with this token count. */ + modality?: MediaModality; + /** Number of tokens. */ + tokenCount?: number; +}; + +/** + * Google GenAI Usage Metadata + * @see https://ai.google.dev/api/rest/v1/GenerateContentResponse#UsageMetadata + */ +type GenerateContentResponseUsageMetadata = { + [key: string]: unknown; + /** Output only. List of modalities of the cached content in the request input. */ + cacheTokensDetails?: ModalityTokenCount[]; + /** Output only. Number of tokens in the cached part in the input (the cached content). */ + cachedContentTokenCount?: number; + /** Number of tokens in the response(s). */ + candidatesTokenCount?: number; + /** Output only. List of modalities that were returned in the response. */ + candidatesTokensDetails?: ModalityTokenCount[]; + /** Number of tokens in the request. When `cached_content` is set, this is still the total effective prompt size meaning this includes the number of tokens in the cached content. */ + promptTokenCount?: number; + /** Output only. List of modalities that were processed in the request input. */ + promptTokensDetails?: ModalityTokenCount[]; + /** Output only. Number of tokens present in thoughts output. */ + thoughtsTokenCount?: number; + /** Output only. Number of tokens present in tool-use prompt(s). */ + toolUsePromptTokenCount?: number; + /** Output only. List of modalities that were processed for tool-use request inputs. */ + toolUsePromptTokensDetails?: ModalityTokenCount[]; + /** Total token count for prompt, response candidates, and tool-use prompts (if present). */ + totalTokenCount?: number; +}; + +/** + * Google GenAI Candidate + * @see https://ai.google.dev/api/rest/v1/Candidate + * https://github.com/googleapis/js-genai/blob/v1.19.0/src/types.ts#L2237 + */ +export type Candidate = { + [key: string]: unknown; + /** + * Contains the multi-part content of the response. + */ + content?: Content; + /** + * The reason why the model stopped generating tokens. + * If empty, the model has not stopped generating the tokens. + */ + finishReason?: string; + /** + * Number of tokens for this candidate. + */ + tokenCount?: number; + /** + * The index of the candidate. + */ + index?: number; +}; + +/** + * Google GenAI Generate Content Response + * @see https://ai.google.dev/api/rest/v1/GenerateContentResponse + */ +type GenerateContentResponse = { + [key: string]: unknown; + /** Response variations returned by the model. */ + candidates?: Candidate[]; + /** Timestamp when the request is made to the server. */ + automaticFunctionCallingHistory?: Content[]; + /** Output only. The model version used to generate the response. */ + modelVersion?: string; + /** Output only. Content filter results for a prompt sent in the request. Note: Sent only in the first stream chunk. Only happens when no candidates were generated due to content violations. */ + promptFeedback?: Record; + /** Output only. response_id is used to identify each response. It is the encoding of the event_id. */ + responseId?: string; + /** Usage metadata about the response(s). */ + usageMetadata?: GenerateContentResponseUsageMetadata; +}; + +/** + * Basic interface for Google GenAI client with only the instrumented methods + * This provides type safety while being generic enough to work with different client implementations + */ +export interface GoogleGenAIClient { + models: { + generateContent: (...args: unknown[]) => Promise; + // https://googleapis.github.io/js-genai/release_docs/classes/models.Models.html#generatecontentstream + // eslint-disable-next-line @typescript-eslint/no-explicit-any + generateContentStream: (...args: unknown[]) => Promise>; + }; + chats: { + create: (...args: unknown[]) => GoogleGenAIChat; + }; +} + +/** + * Google GenAI Chat interface for chat instances created via chats.create() + */ +export interface GoogleGenAIChat { + sendMessage: (...args: unknown[]) => Promise; + // https://googleapis.github.io/js-genai/release_docs/classes/chats.Chat.html#sendmessagestream + // eslint-disable-next-line @typescript-eslint/no-explicit-any + sendMessageStream: (...args: unknown[]) => Promise>; +} + +/** + * Google GenAI Integration interface for type safety + */ +export interface GoogleGenAIIntegration { + name: string; + options: GoogleGenAIOptions; +} + +export type GoogleGenAIIstrumentedMethod = (typeof GOOGLE_GENAI_INSTRUMENTED_METHODS)[number]; + +// Export the response type for use in instrumentation +export type GoogleGenAIResponse = GenerateContentResponse; diff --git a/packages/core/src/utils/google-genai/utils.ts b/packages/core/src/utils/google-genai/utils.ts new file mode 100644 index 000000000000..c7a18477c7dd --- /dev/null +++ b/packages/core/src/utils/google-genai/utils.ts @@ -0,0 +1,16 @@ +import { GOOGLE_GENAI_INSTRUMENTED_METHODS } from './constants'; +import type { GoogleGenAIIstrumentedMethod } from './types'; + +/** + * Check if a method path should be instrumented + */ +export function shouldInstrument(methodPath: string): methodPath is GoogleGenAIIstrumentedMethod { + // Check for exact matches first (like 'models.generateContent') + if (GOOGLE_GENAI_INSTRUMENTED_METHODS.includes(methodPath as GoogleGenAIIstrumentedMethod)) { + return true; + } + + // Check for method name matches (like 'sendMessage' from chat instances) + const methodName = methodPath.split('.').pop(); + return GOOGLE_GENAI_INSTRUMENTED_METHODS.includes(methodName as GoogleGenAIIstrumentedMethod); +} diff --git a/packages/node/src/index.ts b/packages/node/src/index.ts index 84603db7e575..853ec8dbac2f 100644 --- a/packages/node/src/index.ts +++ b/packages/node/src/index.ts @@ -25,6 +25,7 @@ export { amqplibIntegration } from './integrations/tracing/amqplib'; export { vercelAIIntegration } from './integrations/tracing/vercelai'; export { openAIIntegration } from './integrations/tracing/openai'; export { anthropicAIIntegration } from './integrations/tracing/anthropic-ai'; +export { googleGenAIIntegration } from './integrations/tracing/google-genai'; export { launchDarklyIntegration, buildLaunchDarklyFlagUsedHandler, diff --git a/packages/node/src/integrations/tracing/google-genai/index.ts b/packages/node/src/integrations/tracing/google-genai/index.ts new file mode 100644 index 000000000000..8ffc082aa0e7 --- /dev/null +++ b/packages/node/src/integrations/tracing/google-genai/index.ts @@ -0,0 +1,74 @@ +import type { GoogleGenAIOptions, IntegrationFn } from '@sentry/core'; +import { defineIntegration, GOOGLE_GENAI_INTEGRATION_NAME } from '@sentry/core'; +import { generateInstrumentOnce } from '@sentry/node-core'; +import { SentryGoogleGenAiInstrumentation } from './instrumentation'; + +export const instrumentGoogleGenAI = generateInstrumentOnce( + GOOGLE_GENAI_INTEGRATION_NAME, + () => new SentryGoogleGenAiInstrumentation({}), +); + +const _googleGenAIIntegration = ((options: GoogleGenAIOptions = {}) => { + return { + name: GOOGLE_GENAI_INTEGRATION_NAME, + options, + setupOnce() { + instrumentGoogleGenAI(); + }, + }; +}) satisfies IntegrationFn; + +/** + * Adds Sentry tracing instrumentation for the Google Generative AI SDK. + * + * This integration is enabled by default. + * + * When configured, this integration automatically instruments Google GenAI SDK client instances + * to capture telemetry data following OpenTelemetry Semantic Conventions for Generative AI. + * + * @example + * ```javascript + * import * as Sentry from '@sentry/node'; + * + * Sentry.init({ + * integrations: [Sentry.googleGenAiIntegration()], + * }); + * ``` + * + * ## Options + * + * - `recordInputs`: Whether to record prompt messages (default: respects `sendDefaultPii` client option) + * - `recordOutputs`: Whether to record response text (default: respects `sendDefaultPii` client option) + * + * ### Default Behavior + * + * By default, the integration will: + * - Record inputs and outputs ONLY if `sendDefaultPii` is set to `true` in your Sentry client options + * - Otherwise, inputs and outputs are NOT recorded unless explicitly enabled + * + * @example + * ```javascript + * // Record inputs and outputs when sendDefaultPii is false + * Sentry.init({ + * integrations: [ + * Sentry.googleGenAiIntegration({ + * recordInputs: true, + * recordOutputs: true + * }) + * ], + * }); + * + * // Never record inputs/outputs regardless of sendDefaultPii + * Sentry.init({ + * sendDefaultPii: true, + * integrations: [ + * Sentry.googleGenAiIntegration({ + * recordInputs: false, + * recordOutputs: false + * }) + * ], + * }); + * ``` + * + */ +export const googleGenAIIntegration = defineIntegration(_googleGenAIIntegration); diff --git a/packages/node/src/integrations/tracing/google-genai/instrumentation.ts b/packages/node/src/integrations/tracing/google-genai/instrumentation.ts new file mode 100644 index 000000000000..77dbd3b344a5 --- /dev/null +++ b/packages/node/src/integrations/tracing/google-genai/instrumentation.ts @@ -0,0 +1,120 @@ +import { + type InstrumentationConfig, + type InstrumentationModuleDefinition, + InstrumentationBase, + InstrumentationNodeModuleDefinition, +} from '@opentelemetry/instrumentation'; +import type { GoogleGenAIClient, GoogleGenAIOptions, Integration } from '@sentry/core'; +import { getCurrentScope, GOOGLE_GENAI_INTEGRATION_NAME, instrumentGoogleGenAIClient, SDK_VERSION } from '@sentry/core'; + +const supportedVersions = ['>=0.10.0 <2']; + +export interface GoogleGenAIIntegration extends Integration { + options: GoogleGenAIOptions; +} + +/** + * Represents the patched shape of the Google GenAI module export. + */ +interface PatchedModuleExports { + [key: string]: unknown; + GoogleGenAI?: unknown; +} + +/** + * Determine recording settings based on integration options and default PII setting + */ +function determineRecordingSettings( + integrationOptions: GoogleGenAIOptions | undefined, + defaultEnabled: boolean, +): { recordInputs: boolean; recordOutputs: boolean } { + const recordInputs = integrationOptions?.recordInputs ?? defaultEnabled; + const recordOutputs = integrationOptions?.recordOutputs ?? defaultEnabled; + return { recordInputs, recordOutputs }; +} + +/** + * Sentry Google GenAI instrumentation using OpenTelemetry. + */ +export class SentryGoogleGenAiInstrumentation extends InstrumentationBase { + public constructor(config: InstrumentationConfig = {}) { + super('@sentry/instrumentation-google-genai', SDK_VERSION, config); + } + + /** + * Initializes the instrumentation by defining the modules to be patched. + */ + public init(): InstrumentationModuleDefinition { + const module = new InstrumentationNodeModuleDefinition('@google/genai', supportedVersions, this._patch.bind(this)); + return module; + } + + /** + * Core patch logic applying instrumentation to the Google GenAI client constructor. + */ + private _patch(exports: PatchedModuleExports): PatchedModuleExports | void { + const Original = exports.GoogleGenAI; + + if (typeof Original !== 'function') { + return; + } + + const WrappedGoogleGenAI = function (this: unknown, ...args: unknown[]): GoogleGenAIClient { + const instance = Reflect.construct(Original, args); + const scopeClient = getCurrentScope().getClient(); + const integration = scopeClient?.getIntegrationByName(GOOGLE_GENAI_INTEGRATION_NAME); + const integrationOpts = integration?.options; + const defaultPii = Boolean(scopeClient?.getOptions().sendDefaultPii); + + const { recordInputs, recordOutputs } = determineRecordingSettings(integrationOpts, defaultPii); + + return instrumentGoogleGenAIClient(instance, { + recordInputs, + recordOutputs, + }); + }; + + // Preserve static and prototype chains + Object.setPrototypeOf(WrappedGoogleGenAI, Original); + Object.setPrototypeOf(WrappedGoogleGenAI.prototype, Original.prototype); + + for (const key of Object.getOwnPropertyNames(Original)) { + if (!['length', 'name', 'prototype'].includes(key)) { + const descriptor = Object.getOwnPropertyDescriptor(Original, key); + if (descriptor) { + Object.defineProperty(WrappedGoogleGenAI, key, descriptor); + } + } + } + + // Constructor replacement - handle read-only properties + // The GoogleGenAI property might have only a getter, so use defineProperty + try { + exports.GoogleGenAI = WrappedGoogleGenAI; + } catch (error) { + // If direct assignment fails, override the property descriptor + Object.defineProperty(exports, 'GoogleGenAI', { + value: WrappedGoogleGenAI, + writable: true, + configurable: true, + enumerable: true, + }); + } + + // Wrap the default export if it points to the original constructor + if (exports.default === Original) { + try { + exports.default = WrappedGoogleGenAI; + } catch (error) { + Object.defineProperty(exports, 'default', { + value: WrappedGoogleGenAI, + writable: true, + configurable: true, + enumerable: true, + }); + } + } + + return exports; + } +} diff --git a/packages/node/src/integrations/tracing/index.ts b/packages/node/src/integrations/tracing/index.ts index 5341bfff3b78..e4dd84fc266e 100644 --- a/packages/node/src/integrations/tracing/index.ts +++ b/packages/node/src/integrations/tracing/index.ts @@ -7,6 +7,7 @@ import { expressIntegration, instrumentExpress } from './express'; import { fastifyIntegration, instrumentFastify, instrumentFastifyV3 } from './fastify'; import { firebaseIntegration, instrumentFirebase } from './firebase'; import { genericPoolIntegration, instrumentGenericPool } from './genericPool'; +import { googleGenAIIntegration, instrumentGoogleGenAI } from './google-genai'; import { graphqlIntegration, instrumentGraphql } from './graphql'; import { hapiIntegration, instrumentHapi } from './hapi'; import { instrumentKafka, kafkaIntegration } from './kafka'; @@ -52,6 +53,7 @@ export function getAutoPerformanceIntegrations(): Integration[] { postgresJsIntegration(), firebaseIntegration(), anthropicAIIntegration(), + googleGenAIIntegration(), ]; } @@ -87,5 +89,6 @@ export function getOpenTelemetryInstrumentationToPreload(): (((options?: any) => instrumentPostgresJs, instrumentFirebase, instrumentAnthropicAi, + instrumentGoogleGenAI, ]; } From f3d5940b4e3b6992569afe36b82324b40d6ec177 Mon Sep 17 00:00:00 2001 From: RulaKhaled Date: 2025年9月12日 17:05:12 +0200 Subject: [PATCH 02/22] some refacotor --- .../suites/tracing/google-genai/scenario.mjs | 9 ++-- .../core/src/utils/ai/gen-ai-attributes.ts | 12 ----- .../core/src/utils/google-genai/constants.ts | 2 +- packages/core/src/utils/google-genai/index.ts | 46 ++++++++----------- 4 files changed, 24 insertions(+), 45 deletions(-) diff --git a/dev-packages/node-integration-tests/suites/tracing/google-genai/scenario.mjs b/dev-packages/node-integration-tests/suites/tracing/google-genai/scenario.mjs index ae89ff203f7e..e5271665826f 100644 --- a/dev-packages/node-integration-tests/suites/tracing/google-genai/scenario.mjs +++ b/dev-packages/node-integration-tests/suites/tracing/google-genai/scenario.mjs @@ -22,9 +22,7 @@ class MockGoogleGenAI { content: { parts: [ { - text: params.contents - ? 'The capital of France is Paris.' - : 'Mock response from Google GenAI!', + text: params.contents ? 'The capital of France is Paris.' : 'Mock response from Google GenAI!', }, ], role: 'model', @@ -43,9 +41,10 @@ class MockGoogleGenAI { }; this.chats = { - create: () => { - // Return a chat instance with sendMessage method + create: (options) => { + // Return a chat instance with sendMessage method and model info return { + model: options?.model || 'unknown', // Include model from create options sendMessage: async () => { // Simulate processing time await new Promise(resolve => setTimeout(resolve, 10)); diff --git a/packages/core/src/utils/ai/gen-ai-attributes.ts b/packages/core/src/utils/ai/gen-ai-attributes.ts index 406630daef5d..9124602644e4 100644 --- a/packages/core/src/utils/ai/gen-ai-attributes.ts +++ b/packages/core/src/utils/ai/gen-ai-attributes.ts @@ -178,15 +178,3 @@ export const OPENAI_OPERATIONS = { * The response timestamp from Anthropic AI (ISO string) */ export const ANTHROPIC_AI_RESPONSE_TIMESTAMP_ATTRIBUTE = 'anthropic.response.timestamp'; - -// ============================================================================= -// GOOGLE GENAI OPERATIONS -// ============================================================================= - -/** - * Google GenAI API operations - */ -export const GOOGLE_GENAI_OPERATIONS = { - GENERATE_CONTENT: 'generateContent', - STREAM_GENERATE_CONTENT: 'streamGenerateContent', -} as const; diff --git a/packages/core/src/utils/google-genai/constants.ts b/packages/core/src/utils/google-genai/constants.ts index ba8bca2f7218..fd91c03f0a54 100644 --- a/packages/core/src/utils/google-genai/constants.ts +++ b/packages/core/src/utils/google-genai/constants.ts @@ -5,7 +5,7 @@ export const GOOGLE_GENAI_INTEGRATION_NAME = 'Google_GenAI'; export const GOOGLE_GENAI_INSTRUMENTED_METHODS = ['models.generateContent', 'chats.create', 'sendMessage'] as const; // Constants for internal use -export const GOOGLE_GENAI_MODEL_PROPERTY = '_sentryGoogleGenAIModel'; export const GOOGLE_GENAI_SYSTEM_NAME = 'google_genai'; export const CHATS_CREATE_METHOD = 'chats.create'; export const CHAT_PATH = 'chat'; + diff --git a/packages/core/src/utils/google-genai/index.ts b/packages/core/src/utils/google-genai/index.ts index b6b48abdf387..9da558b727a2 100644 --- a/packages/core/src/utils/google-genai/index.ts +++ b/packages/core/src/utils/google-genai/index.ts @@ -20,14 +20,7 @@ import { GEN_AI_USAGE_TOTAL_TOKENS_ATTRIBUTE, } from '../ai/gen-ai-attributes'; import { buildMethodPath, getFinalOperationName, getSpanOperation } from '../ai/utils'; -import { isThenable } from '../is'; -import { - CHAT_PATH, - CHATS_CREATE_METHOD, - GOOGLE_GENAI_INTEGRATION_NAME, - GOOGLE_GENAI_MODEL_PROPERTY, - GOOGLE_GENAI_SYSTEM_NAME, -} from './constants'; +import { CHAT_PATH, CHATS_CREATE_METHOD, GOOGLE_GENAI_INTEGRATION_NAME, GOOGLE_GENAI_SYSTEM_NAME } from './constants'; import type { Candidate, ContentPart, @@ -39,21 +32,26 @@ import type { import { shouldInstrument } from './utils'; /** - * Extract model from parameters or context - * For chat instances, the model is stored during chat creation and retrieved from context + * Extract model from parameters or chat context object + * For chat instances, the model is available on the chat object as 'model' (older versions) or 'modelVersion' (newer versions) */ export function extractModel(params: Record, context?: unknown): string { if ('model' in params && typeof params.model === 'string') { return params.model; } - // For chat instances, try to get the model from the chat context - // This is because the model is set during chat creation - // and not passed as a parameter to the chat.sendMessage method + // Try to get model from chat context object (chat instance has model property) if (context && typeof context === 'object') { - const chatObj = context as Record; - if (chatObj[GOOGLE_GENAI_MODEL_PROPERTY] && typeof chatObj[GOOGLE_GENAI_MODEL_PROPERTY] === 'string') { - return chatObj[GOOGLE_GENAI_MODEL_PROPERTY] as string; + const contextObj = context as Record; + + // Check for 'model' property (older versions, and streaming) + if ('model' in contextObj && typeof contextObj.model === 'string') { + return contextObj.model; + } + + // Check for 'modelVersion' property (newer versions) + if ('modelVersion' in contextObj && typeof contextObj.modelVersion === 'string') { + return contextObj.modelVersion; } } @@ -217,7 +215,7 @@ function instrumentMethod( context: unknown, options?: GoogleGenAIOptions, ): (...args: T) => R | Promise { - const isSyncCreate = !isThenable(originalMethod) && methodPath === CHATS_CREATE_METHOD; + const isSyncCreate = methodPath === CHATS_CREATE_METHOD const run = (...args: T): R | Promise => { const finalOptions = options || getRecordingOptionsFromIntegration(); @@ -238,13 +236,7 @@ function instrumentMethod( if (finalOptions.recordInputs && args[0] && typeof args[0] === 'object') { addPrivateRequestAttributes(span, args[0] as Record); } - const result = (originalMethod as (...args: T) => R).apply(context, args) as R; - - if (typeof model === 'string' && model !== 'unknown' && typeof result === 'object') { - // We store the model in the result object so that it can be accessed later - // This is because the model is not passed as a parameter to the chat.sendMessage method - (result as Record)[GOOGLE_GENAI_MODEL_PROPERTY] = model; - } + const result = (originalMethod as (...args: T) => R).apply(context, args); // No response attributes for create (returns object of chat instance, not generated content) return result; @@ -255,7 +247,7 @@ function instrumentMethod( throw error; } }, - ) as R; + ); } // Async/content-producing path @@ -273,7 +265,7 @@ function instrumentMethod( const result = await Promise.resolve((originalMethod as (...args: T) => Promise).apply(context, args)); addResponseAttributes(span, result as GoogleGenAIResponse, finalOptions.recordOutputs); - return result as R; + return result; } catch (error) { captureException(error, { mechanism: { handled: false, type: 'auto.ai.google_genai', data: { function: methodPath } }, @@ -281,7 +273,7 @@ function instrumentMethod( throw error; } }, - ) as Promise; + ); }; return run; From 251fccd2020ffb695294f9be28dbe7ea14dea1be Mon Sep 17 00:00:00 2001 From: RulaKhaled Date: 2025年9月15日 12:15:02 +0200 Subject: [PATCH 03/22] fix lint issues --- .../suites/tracing/google-genai/scenario.mjs | 2 +- packages/core/src/utils/google-genai/constants.ts | 1 - packages/core/src/utils/google-genai/index.ts | 2 +- 3 files changed, 2 insertions(+), 3 deletions(-) diff --git a/dev-packages/node-integration-tests/suites/tracing/google-genai/scenario.mjs b/dev-packages/node-integration-tests/suites/tracing/google-genai/scenario.mjs index e5271665826f..51de2032da72 100644 --- a/dev-packages/node-integration-tests/suites/tracing/google-genai/scenario.mjs +++ b/dev-packages/node-integration-tests/suites/tracing/google-genai/scenario.mjs @@ -41,7 +41,7 @@ class MockGoogleGenAI { }; this.chats = { - create: (options) => { + create: options => { // Return a chat instance with sendMessage method and model info return { model: options?.model || 'unknown', // Include model from create options diff --git a/packages/core/src/utils/google-genai/constants.ts b/packages/core/src/utils/google-genai/constants.ts index fd91c03f0a54..8617460482c6 100644 --- a/packages/core/src/utils/google-genai/constants.ts +++ b/packages/core/src/utils/google-genai/constants.ts @@ -8,4 +8,3 @@ export const GOOGLE_GENAI_INSTRUMENTED_METHODS = ['models.generateContent', 'cha export const GOOGLE_GENAI_SYSTEM_NAME = 'google_genai'; export const CHATS_CREATE_METHOD = 'chats.create'; export const CHAT_PATH = 'chat'; - diff --git a/packages/core/src/utils/google-genai/index.ts b/packages/core/src/utils/google-genai/index.ts index 9da558b727a2..3164aa1df9ac 100644 --- a/packages/core/src/utils/google-genai/index.ts +++ b/packages/core/src/utils/google-genai/index.ts @@ -215,7 +215,7 @@ function instrumentMethod( context: unknown, options?: GoogleGenAIOptions, ): (...args: T) => R | Promise { - const isSyncCreate = methodPath === CHATS_CREATE_METHOD + const isSyncCreate = methodPath === CHATS_CREATE_METHOD; const run = (...args: T): R | Promise => { const finalOptions = options || getRecordingOptionsFromIntegration(); From 0c5648ebc32b09065b4bb68557e6fe7e076fa5c2 Mon Sep 17 00:00:00 2001 From: RulaKhaled Date: 2025年9月15日 13:16:17 +0200 Subject: [PATCH 04/22] add missing imports --- packages/astro/src/index.server.ts | 1 + packages/aws-serverless/src/index.ts | 1 + packages/bun/src/index.ts | 1 + packages/google-cloud-serverless/src/index.ts | 1 + 4 files changed, 4 insertions(+) diff --git a/packages/astro/src/index.server.ts b/packages/astro/src/index.server.ts index 5abf8d51633d..de4079c4b5c4 100644 --- a/packages/astro/src/index.server.ts +++ b/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, diff --git a/packages/aws-serverless/src/index.ts b/packages/aws-serverless/src/index.ts index 541f8a97a410..0cbe5879b02e 100644 --- a/packages/aws-serverless/src/index.ts +++ b/packages/aws-serverless/src/index.ts @@ -125,6 +125,7 @@ export { profiler, amqplibIntegration, anthropicAIIntegration, + googleGenAIIntegration, vercelAIIntegration, logger, consoleLoggingIntegration, diff --git a/packages/bun/src/index.ts b/packages/bun/src/index.ts index bc5bf37c0de4..b1c4854e5026 100644 --- a/packages/bun/src/index.ts +++ b/packages/bun/src/index.ts @@ -143,6 +143,7 @@ export { profiler, amqplibIntegration, anthropicAIIntegration, + googleGenAIIntegration, vercelAIIntegration, logger, consoleLoggingIntegration, diff --git a/packages/google-cloud-serverless/src/index.ts b/packages/google-cloud-serverless/src/index.ts index e8042e4260a8..fc0fe353b919 100644 --- a/packages/google-cloud-serverless/src/index.ts +++ b/packages/google-cloud-serverless/src/index.ts @@ -123,6 +123,7 @@ export { profiler, amqplibIntegration, anthropicAIIntegration, + googleGenAIIntegration, childProcessIntegration, createSentryWinstonTransport, vercelAIIntegration, From 275a9a70c7f64e3250b7fcbf85b25779e96b810c Mon Sep 17 00:00:00 2001 From: RulaKhaled Date: 2025年9月15日 14:41:45 +0200 Subject: [PATCH 05/22] simplify promise handle --- .../google-genai/instrument-with-options.mjs | 8 +- .../google-genai/instrument-with-pii.mjs | 8 +- .../tracing/google-genai/instrument.mjs | 8 +- .../suites/tracing/google-genai/scenario.mjs | 118 +++++++---------- .../suites/tracing/google-genai/test.ts | 12 +- packages/core/src/index.ts | 1 + packages/core/src/utils/exports.ts | 47 +++++++ packages/core/src/utils/google-genai/index.ts | 119 ++++++------------ packages/core/src/utils/google-genai/types.ts | 27 +--- .../tracing/google-genai/index.ts | 7 +- .../tracing/google-genai/instrumentation.ts | 84 +++++-------- 11 files changed, 196 insertions(+), 243 deletions(-) create mode 100644 packages/core/src/utils/exports.ts diff --git a/dev-packages/node-integration-tests/suites/tracing/google-genai/instrument-with-options.mjs b/dev-packages/node-integration-tests/suites/tracing/google-genai/instrument-with-options.mjs index aad9344b0738..9823f5680be3 100644 --- a/dev-packages/node-integration-tests/suites/tracing/google-genai/instrument-with-options.mjs +++ b/dev-packages/node-integration-tests/suites/tracing/google-genai/instrument-with-options.mjs @@ -7,11 +7,17 @@ Sentry.init({ tracesSampleRate: 1.0, sendDefaultPii: false, transport: loggingTransport, - registerEsmLoaderHooks: false, integrations: [ Sentry.googleGenAIIntegration({ recordInputs: true, recordOutputs: true, }), ], + beforeSendTransaction: event => { + // Filter out mock express server transactions + if (event.transaction.includes('/v1beta/')) { + return null; + } + return event; + }, }); diff --git a/dev-packages/node-integration-tests/suites/tracing/google-genai/instrument-with-pii.mjs b/dev-packages/node-integration-tests/suites/tracing/google-genai/instrument-with-pii.mjs index e6f4fdadb35e..dcc0896f107a 100644 --- a/dev-packages/node-integration-tests/suites/tracing/google-genai/instrument-with-pii.mjs +++ b/dev-packages/node-integration-tests/suites/tracing/google-genai/instrument-with-pii.mjs @@ -7,6 +7,12 @@ Sentry.init({ tracesSampleRate: 1.0, sendDefaultPii: true, transport: loggingTransport, - registerEsmLoaderHooks: false, integrations: [Sentry.googleGenAIIntegration()], + beforeSendTransaction: event => { + // Filter out mock express server transactions + if (event.transaction.includes('/v1beta/')) { + return null; + } + return event; + }, }); diff --git a/dev-packages/node-integration-tests/suites/tracing/google-genai/instrument.mjs b/dev-packages/node-integration-tests/suites/tracing/google-genai/instrument.mjs index 41c1eb218620..ab25c0b848ae 100644 --- a/dev-packages/node-integration-tests/suites/tracing/google-genai/instrument.mjs +++ b/dev-packages/node-integration-tests/suites/tracing/google-genai/instrument.mjs @@ -7,6 +7,12 @@ Sentry.init({ tracesSampleRate: 1.0, sendDefaultPii: false, transport: loggingTransport, - registerEsmLoaderHooks: false, integrations: [Sentry.googleGenAIIntegration()], + beforeSendTransaction: event => { + // Filter out mock express server transactions + if (event.transaction.includes('/v1beta')) { + return null; + } + return event; + }, }); diff --git a/dev-packages/node-integration-tests/suites/tracing/google-genai/scenario.mjs b/dev-packages/node-integration-tests/suites/tracing/google-genai/scenario.mjs index 51de2032da72..fd0e30ffe0e0 100644 --- a/dev-packages/node-integration-tests/suites/tracing/google-genai/scenario.mjs +++ b/dev-packages/node-integration-tests/suites/tracing/google-genai/scenario.mjs @@ -1,89 +1,59 @@ -import { instrumentGoogleGenAIClient } from '@sentry/core'; import * as Sentry from '@sentry/node'; +import { GoogleGenAI } from '@google/genai'; -class MockGoogleGenAI { - constructor(config) { - this.apiKey = config.apiKey; +import express from 'express'; - this.models = { - generateContent: async params => { - // Simulate processing time - await new Promise(resolve => setTimeout(resolve, 10)); +const PORT = 3333; - if (params.model === 'error-model') { - const error = new Error('Model not found'); - error.status = 404; - throw error; - } +function startMockGoogleGenAIServer() { + const app = express(); + app.use(express.json()); - return { - candidates: [ - { - content: { - parts: [ - { - text: params.contents ? 'The capital of France is Paris.' : 'Mock response from Google GenAI!', - }, - ], - role: 'model', - }, - finishReason: 'stop', - index: 0, - }, - ], - usageMetadata: { - promptTokenCount: 8, - candidatesTokenCount: 12, - totalTokenCount: 20, - }, - }; - }, - }; + app.post('/v1beta/models/:model\\:generateContent', (req, res) => { + const model = req.params.model; - this.chats = { - create: options => { - // Return a chat instance with sendMessage method and model info - return { - model: options?.model || 'unknown', // Include model from create options - sendMessage: async () => { - // Simulate processing time - await new Promise(resolve => setTimeout(resolve, 10)); + if (model === 'error-model') { + res.status(404).set('x-request-id', 'mock-request-123').end('Model not found'); + return; + } - return { - candidates: [ - { - content: { - parts: [ - { - text: 'Mock response from Google GenAI!', - }, - ], - role: 'model', - }, - finishReason: 'stop', - index: 0, - }, - ], - usageMetadata: { - promptTokenCount: 10, - candidatesTokenCount: 15, - totalTokenCount: 25, + 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 genAI = new MockGoogleGenAI({ apiKey: 'test-api-key' }); - const instrumentedClient = instrumentGoogleGenAIClient(genAI); + const server = startMockGoogleGenAIServer(); + + await Sentry.startSpan({ op: 'function', name: 'main' }, async () => { + const client = new GoogleGenAI({ + apiKey: 'mock-api-key', + httpOptions: { baseUrl: `http://localhost:${PORT}` } + }); - await Sentry.startSpan({ name: 'main', op: 'function' }, async () => { // Test 1: chats.create and sendMessage flow - const chat = instrumentedClient.chats.create({ + const chat = client.chats.create({ model: 'gemini-1.5-pro', config: { temperature: 0.8, @@ -103,7 +73,7 @@ async function run() { }); // Test 2: models.generateContent - await instrumentedClient.models.generateContent({ + await client.models.generateContent({ model: 'gemini-1.5-flash', config: { temperature: 0.7, @@ -120,7 +90,7 @@ async function run() { // Test 3: Error handling try { - await instrumentedClient.models.generateContent({ + await client.models.generateContent({ model: 'error-model', contents: [ { @@ -133,6 +103,8 @@ async function run() { // Expected error } }); + + server.close(); } run(); diff --git a/dev-packages/node-integration-tests/suites/tracing/google-genai/test.ts b/dev-packages/node-integration-tests/suites/tracing/google-genai/test.ts index 0d993c87c3d3..9aa5523c61d7 100644 --- a/dev-packages/node-integration-tests/suites/tracing/google-genai/test.ts +++ b/dev-packages/node-integration-tests/suites/tracing/google-genai/test.ts @@ -34,9 +34,9 @@ describe('Google GenAI integration', () => { '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': 10, - 'gen_ai.usage.output_tokens': 15, - 'gen_ai.usage.total_tokens': 25, + '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', @@ -111,9 +111,9 @@ describe('Google GenAI integration', () => { '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': 10, - 'gen_ai.usage.output_tokens': 15, - 'gen_ai.usage.total_tokens': 25, + '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', diff --git a/packages/core/src/index.ts b/packages/core/src/index.ts index 86200b0dd86f..b4c37b312e80 100644 --- a/packages/core/src/index.ts +++ b/packages/core/src/index.ts @@ -215,6 +215,7 @@ export { basename, dirname, isAbsolute, join, normalizePath, relative, resolve } export { makePromiseBuffer, SENTRY_BUFFER_FULL_ERROR } from './utils/promisebuffer'; export type { PromiseBuffer } from './utils/promisebuffer'; export { severityLevelFromString } from './utils/severity'; +export { replaceExports } from './utils/exports'; export { UNKNOWN_FUNCTION, createStackParser, diff --git a/packages/core/src/utils/exports.ts b/packages/core/src/utils/exports.ts new file mode 100644 index 000000000000..588e758e88f9 --- /dev/null +++ b/packages/core/src/utils/exports.ts @@ -0,0 +1,47 @@ +/** + * Replaces constructor functions in module exports, handling read-only properties, + * and both default and named exports by wrapping them with the constructor. + * + * @param exports The module exports object to modify + * @param exportName The name of the export to replace (e.g., 'GoogleGenAI', 'Anthropic', 'OpenAI') + * @param wrappedConstructor The wrapped constructor function to replace the original with + * @returns void + */ +export function replaceExports( + exports: { [key: string]: unknown }, + exportName: string, + wrappedConstructor: unknown, +): void { + const original = exports[exportName]; + + if (typeof original !== 'function') { + return; + } + + // Replace the named export - handle read-only properties + try { + exports[exportName] = wrappedConstructor; + } catch (error) { + // If direct assignment fails, override the property descriptor + Object.defineProperty(exports, exportName, { + value: wrappedConstructor, + writable: true, + configurable: true, + enumerable: true, + }); + } + + // Replace the default export if it points to the original constructor + if (exports.default === original) { + try { + exports.default = wrappedConstructor; + } catch (error) { + Object.defineProperty(exports, 'default', { + value: wrappedConstructor, + writable: true, + configurable: true, + enumerable: true, + }); + } + } +} diff --git a/packages/core/src/utils/google-genai/index.ts b/packages/core/src/utils/google-genai/index.ts index 3164aa1df9ac..cdad221ac60f 100644 --- a/packages/core/src/utils/google-genai/index.ts +++ b/packages/core/src/utils/google-genai/index.ts @@ -1,4 +1,4 @@ -import { getCurrentScope } from '../../currentScopes'; +import { getClient } from '../../currentScopes'; import { captureException } from '../../exports'; import { SEMANTIC_ATTRIBUTE_SENTRY_ORIGIN } from '../../semanticAttributes'; import { startSpan } from '../../tracing/trace'; @@ -20,11 +20,11 @@ import { GEN_AI_USAGE_TOTAL_TOKENS_ATTRIBUTE, } from '../ai/gen-ai-attributes'; import { buildMethodPath, getFinalOperationName, getSpanOperation } from '../ai/utils'; -import { CHAT_PATH, CHATS_CREATE_METHOD, GOOGLE_GENAI_INTEGRATION_NAME, GOOGLE_GENAI_SYSTEM_NAME } from './constants'; +import { handleCallbackErrors } from '../handleCallbackErrors'; +import { CHAT_PATH, CHATS_CREATE_METHOD, GOOGLE_GENAI_SYSTEM_NAME } from './constants'; import type { Candidate, ContentPart, - GoogleGenAIIntegration, GoogleGenAIIstrumentedMethod, GoogleGenAIOptions, GoogleGenAIResponse, @@ -188,22 +188,6 @@ function addResponseAttributes(span: Span, response: GoogleGenAIResponse, record } } -/** - * Get recording options from the Sentry integration configuration - * Falls back to sendDefaultPii setting if integration options are not specified - */ -function getRecordingOptionsFromIntegration(): GoogleGenAIOptions { - const scope = getCurrentScope(); - const client = scope.getClient(); - const integration = client?.getIntegrationByName(GOOGLE_GENAI_INTEGRATION_NAME) as GoogleGenAIIntegration | undefined; - const shouldRecordInputsAndOutputs = integration ? Boolean(client?.getOptions().sendDefaultPii) : false; - - return { - recordInputs: integration?.options?.recordInputs ?? shouldRecordInputsAndOutputs, - recordOutputs: integration?.options?.recordOutputs ?? shouldRecordInputsAndOutputs, - }; -} - /** * Instrument any async or synchronous genai method with Sentry spans * Handles operations like models.generateContent and chat.sendMessage and chats.create @@ -213,65 +197,42 @@ function instrumentMethod( originalMethod: (...args: T) => R | Promise, methodPath: GoogleGenAIIstrumentedMethod, context: unknown, - options?: GoogleGenAIOptions, + options: GoogleGenAIOptions, ): (...args: T) => R | Promise { const isSyncCreate = methodPath === CHATS_CREATE_METHOD; const run = (...args: T): R | Promise => { - const finalOptions = options || getRecordingOptionsFromIntegration(); const requestAttributes = extractRequestAttributes(args, methodPath, context); const model = requestAttributes[GEN_AI_REQUEST_MODEL_ATTRIBUTE] ?? 'unknown'; const operationName = getFinalOperationName(methodPath); - if (isSyncCreate) { - // Preserve sync return for chats.create - return startSpan( - { - name: `${operationName} ${model} create`, - op: getSpanOperation(methodPath), - attributes: requestAttributes, - }, - (span: Span) => { - try { - if (finalOptions.recordInputs && args[0] && typeof args[0] === 'object') { - addPrivateRequestAttributes(span, args[0] as Record); - } - const result = (originalMethod as (...args: T) => R).apply(context, args); - - // No response attributes for create (returns object of chat instance, not generated content) - return result; - } catch (error) { - captureException(error, { - mechanism: { handled: false, type: 'auto.ai.google_genai', data: { function: methodPath } }, - }); - throw error; - } - }, - ); - } - - // Async/content-producing path + // Single span for both sync and async operations return startSpan( { - name: `${operationName} ${model}`, + name: isSyncCreate ? `${operationName} ${model} create` : `${operationName} ${model}`, op: getSpanOperation(methodPath), attributes: requestAttributes, }, - async (span: Span) => { - try { - if (finalOptions.recordInputs && args[0] && typeof args[0] === 'object') { - addPrivateRequestAttributes(span, args[0] as Record); - } - - const result = await Promise.resolve((originalMethod as (...args: T) => Promise).apply(context, args)); - addResponseAttributes(span, result as GoogleGenAIResponse, finalOptions.recordOutputs); - return result; - } catch (error) { - captureException(error, { - mechanism: { handled: false, type: 'auto.ai.google_genai', data: { function: methodPath } }, - }); - throw error; + (span: Span) => { + if (options.recordInputs && args[0] && typeof args[0] === 'object') { + addPrivateRequestAttributes(span, args[0] as Record); } + + return handleCallbackErrors( + () => originalMethod.apply(context, args), + error => { + captureException(error, { + mechanism: { handled: false, type: 'auto.ai.google_genai', data: { function: methodPath } }, + }); + }, + () => {}, + result => { + // Only add response attributes for content-producing methods, not for chats.create + if (!isSyncCreate) { + addResponseAttributes(span, result, options.recordOutputs); + } + }, + ); }, ); }; @@ -283,41 +244,36 @@ function instrumentMethod( * Create a deep proxy for Google GenAI client instrumentation * Recursively instruments methods and handles special cases like chats.create */ -function createDeepProxy(target: T, currentPath = '', options?: GoogleGenAIOptions): T { +function createDeepProxy(target: T, currentPath = '', options: GoogleGenAIOptions): T { return new Proxy(target, { - get(obj: object, prop: string): unknown { - const value = (obj as Record)[prop]; + get: (t, prop, receiver) => { + const value = Reflect.get(t, prop, receiver); const methodPath = buildMethodPath(currentPath, String(prop)); if (typeof value === 'function' && shouldInstrument(methodPath)) { // Special case: chats.create is synchronous but needs both instrumentation AND result proxying if (methodPath === CHATS_CREATE_METHOD) { - const instrumentedMethod = instrumentMethod( - value as (...args: unknown[]) => unknown, - methodPath, - obj, - options, - ); + const instrumentedMethod = instrumentMethod(value as (...args: unknown[]) => unknown, methodPath, t, options); return function instrumentedAndProxiedCreate(...args: unknown[]): unknown { const result = instrumentedMethod(...args); // If the result is an object (like a chat instance), proxy it too if (result && typeof result === 'object') { - return createDeepProxy(result as object, CHAT_PATH, options); + return createDeepProxy(result, CHAT_PATH, options); } return result; }; } - return instrumentMethod(value as (...args: unknown[]) => Promise, methodPath, obj, options); + return instrumentMethod(value as (...args: unknown[]) => Promise, methodPath, t, options); } if (typeof value === 'function') { // Bind non-instrumented functions to preserve the original `this` context - return value.bind(obj); + return value.bind(t); } if (value && typeof value === 'object') { - return createDeepProxy(value as object, methodPath, options); + return createDeepProxy(value, methodPath, options); } return value; @@ -348,5 +304,12 @@ function createDeepProxy(target: T, currentPath = '', options? * ``` */ export function instrumentGoogleGenAIClient(client: T, options?: GoogleGenAIOptions): T { - return createDeepProxy(client, '', options); + const sendDefaultPii = Boolean(getClient()?.getOptions().sendDefaultPii); + + const _options = { + recordInputs: sendDefaultPii, + recordOutputs: sendDefaultPii, + ...options, + }; + return createDeepProxy(client, '', _options); } diff --git a/packages/core/src/utils/google-genai/types.ts b/packages/core/src/utils/google-genai/types.ts index 31221b8a2393..3b79c3843f1f 100644 --- a/packages/core/src/utils/google-genai/types.ts +++ b/packages/core/src/utils/google-genai/types.ts @@ -66,32 +66,7 @@ type Content = { role?: string; }; -enum MediaModality { - /** - * The modality is unspecified. - */ - MODALITY_UNSPECIFIED = 'MODALITY_UNSPECIFIED', - /** - * Plain text. - */ - TEXT = 'TEXT', - /** - * Images. - */ - IMAGE = 'IMAGE', - /** - * Video. - */ - VIDEO = 'VIDEO', - /** - * Audio. - */ - AUDIO = 'AUDIO', - /** - * Document, e.g. PDF. - */ - DOCUMENT = 'DOCUMENT', -} +type MediaModality = 'MODALITY_UNSPECIFIED' | 'TEXT' | 'IMAGE' | 'VIDEO' | 'AUDIO' | 'DOCUMENT'; /** * Google GenAI Modality Token Count diff --git a/packages/node/src/integrations/tracing/google-genai/index.ts b/packages/node/src/integrations/tracing/google-genai/index.ts index 8ffc082aa0e7..5c1ad09d2fcd 100644 --- a/packages/node/src/integrations/tracing/google-genai/index.ts +++ b/packages/node/src/integrations/tracing/google-genai/index.ts @@ -3,17 +3,16 @@ import { defineIntegration, GOOGLE_GENAI_INTEGRATION_NAME } from '@sentry/core'; import { generateInstrumentOnce } from '@sentry/node-core'; import { SentryGoogleGenAiInstrumentation } from './instrumentation'; -export const instrumentGoogleGenAI = generateInstrumentOnce( +export const instrumentGoogleGenAI = generateInstrumentOnce( GOOGLE_GENAI_INTEGRATION_NAME, - () => new SentryGoogleGenAiInstrumentation({}), + options => new SentryGoogleGenAiInstrumentation(options), ); const _googleGenAIIntegration = ((options: GoogleGenAIOptions = {}) => { return { name: GOOGLE_GENAI_INTEGRATION_NAME, - options, setupOnce() { - instrumentGoogleGenAI(); + instrumentGoogleGenAI(options); }, }; }) satisfies IntegrationFn; diff --git a/packages/node/src/integrations/tracing/google-genai/instrumentation.ts b/packages/node/src/integrations/tracing/google-genai/instrumentation.ts index 77dbd3b344a5..6fd6d8236bdd 100644 --- a/packages/node/src/integrations/tracing/google-genai/instrumentation.ts +++ b/packages/node/src/integrations/tracing/google-genai/instrumentation.ts @@ -1,18 +1,15 @@ +import type { InstrumentationConfig } from '@opentelemetry/instrumentation'; import { - type InstrumentationConfig, type InstrumentationModuleDefinition, InstrumentationBase, InstrumentationNodeModuleDefinition, + InstrumentationNodeModuleFile, } from '@opentelemetry/instrumentation'; -import type { GoogleGenAIClient, GoogleGenAIOptions, Integration } from '@sentry/core'; -import { getCurrentScope, GOOGLE_GENAI_INTEGRATION_NAME, instrumentGoogleGenAIClient, SDK_VERSION } from '@sentry/core'; +import type { GoogleGenAIClient, GoogleGenAIOptions } from '@sentry/core'; +import { getClient, instrumentGoogleGenAIClient, replaceExports, SDK_VERSION } from '@sentry/core'; const supportedVersions = ['>=0.10.0 <2']; -export interface GoogleGenAIIntegration extends Integration { - options: GoogleGenAIOptions; -} - /** * Represents the patched shape of the Google GenAI module export. */ @@ -21,23 +18,13 @@ interface PatchedModuleExports { GoogleGenAI?: unknown; } -/** - * Determine recording settings based on integration options and default PII setting - */ -function determineRecordingSettings( - integrationOptions: GoogleGenAIOptions | undefined, - defaultEnabled: boolean, -): { recordInputs: boolean; recordOutputs: boolean } { - const recordInputs = integrationOptions?.recordInputs ?? defaultEnabled; - const recordOutputs = integrationOptions?.recordOutputs ?? defaultEnabled; - return { recordInputs, recordOutputs }; -} +type GoogleGenAIInstrumentationOptions = GoogleGenAIOptions & InstrumentationConfig; /** * Sentry Google GenAI instrumentation using OpenTelemetry. */ -export class SentryGoogleGenAiInstrumentation extends InstrumentationBase { - public constructor(config: InstrumentationConfig = {}) { +export class SentryGoogleGenAiInstrumentation extends InstrumentationBase { + public constructor(config: GoogleGenAIInstrumentationOptions = {}) { super('@sentry/instrumentation-google-genai', SDK_VERSION, config); } @@ -45,7 +32,20 @@ export class SentryGoogleGenAiInstrumentation extends InstrumentationBase this._patch(exports), + exports => exports, + [ + new InstrumentationNodeModuleFile( + '@google/genai/dist/node/index.cjs', + supportedVersions, + exports => this._patch(exports), + exports => exports, + ), + ], + ); return module; } @@ -54,6 +54,7 @@ export class SentryGoogleGenAiInstrumentation extends InstrumentationBase(GOOGLE_GENAI_INTEGRATION_NAME); - const integrationOpts = integration?.options; - const defaultPii = Boolean(scopeClient?.getOptions().sendDefaultPii); + const client = getClient(); + const defaultPii = Boolean(client?.getOptions().sendDefaultPii); - const { recordInputs, recordOutputs } = determineRecordingSettings(integrationOpts, defaultPii); + const typedConfig = config as GoogleGenAIInstrumentationOptions; + // eslint-disable-next-line @typescript-eslint/no-unsafe-member-access + const recordInputs = typedConfig?.recordInputs ?? defaultPii; + // eslint-disable-next-line @typescript-eslint/no-unsafe-member-access + const recordOutputs = typedConfig?.recordOutputs ?? defaultPii; return instrumentGoogleGenAIClient(instance, { recordInputs, @@ -87,33 +90,8 @@ export class SentryGoogleGenAiInstrumentation extends InstrumentationBase Date: 2025年9月18日 19:48:49 +0200 Subject: [PATCH 06/22] fix lint --- .../suites/tracing/google-genai/scenario.mjs | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/dev-packages/node-integration-tests/suites/tracing/google-genai/scenario.mjs b/dev-packages/node-integration-tests/suites/tracing/google-genai/scenario.mjs index fd0e30ffe0e0..984db2e57a24 100644 --- a/dev-packages/node-integration-tests/suites/tracing/google-genai/scenario.mjs +++ b/dev-packages/node-integration-tests/suites/tracing/google-genai/scenario.mjs @@ -1,6 +1,5 @@ -import * as Sentry from '@sentry/node'; import { GoogleGenAI } from '@google/genai'; - +import * as Sentry from '@sentry/node'; import express from 'express'; const PORT = 3333; From afa472cae1b52ef2e831f0b1df93ecb12e1fa964 Mon Sep 17 00:00:00 2001 From: RulaKhaled Date: 2025年9月18日 19:58:29 +0200 Subject: [PATCH 07/22] lint again --- .../suites/tracing/google-genai/scenario.mjs | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/dev-packages/node-integration-tests/suites/tracing/google-genai/scenario.mjs b/dev-packages/node-integration-tests/suites/tracing/google-genai/scenario.mjs index 984db2e57a24..cfae135b6878 100644 --- a/dev-packages/node-integration-tests/suites/tracing/google-genai/scenario.mjs +++ b/dev-packages/node-integration-tests/suites/tracing/google-genai/scenario.mjs @@ -48,7 +48,7 @@ async function run() { await Sentry.startSpan({ op: 'function', name: 'main' }, async () => { const client = new GoogleGenAI({ apiKey: 'mock-api-key', - httpOptions: { baseUrl: `http://localhost:${PORT}` } + httpOptions: { baseUrl: `http://localhost:${PORT}` }, }); // Test 1: chats.create and sendMessage flow From b1db2bb3349ce9cc1827df12f5d6f98dfb122447 Mon Sep 17 00:00:00 2001 From: RulaKhaled Date: 2025年9月18日 20:44:34 +0200 Subject: [PATCH 08/22] adding a version to package.json --- .../node-integration-tests/package.json | 1 + yarn.lock | 92 +++++++++++++++---- 2 files changed, 73 insertions(+), 20 deletions(-) diff --git a/dev-packages/node-integration-tests/package.json b/dev-packages/node-integration-tests/package.json index 3deeb1ae0df4..15dd3b68d3a8 100644 --- a/dev-packages/node-integration-tests/package.json +++ b/dev-packages/node-integration-tests/package.json @@ -24,6 +24,7 @@ }, "dependencies": { "@aws-sdk/client-s3": "^3.552.0", + "@google/genai": "^1.20.0", "@hapi/hapi": "^21.3.10", "@nestjs/common": "11.1.3", "@nestjs/core": "11.1.3", diff --git a/yarn.lock b/yarn.lock index ebdb2b198675..65374db06642 100644 --- a/yarn.lock +++ b/yarn.lock @@ -4266,6 +4266,14 @@ resolved "https://registry.yarnpkg.com/@google-cloud/promisify/-/promisify-2.0.3.tgz#f934b5cdc939e3c7039ff62b9caaf59a9d89e3a8" integrity sha512-d4VSA86eL/AFTe5xtyZX+ePUjE8dIFu2T8zmdeNBSa5/kNgXPCx/o/wbFNHAGLJdGnk1vddRuMESD9HbOC8irw== +"@google/genai@^1.20.0": + version "1.20.0" + resolved "https://registry.npmjs.org/@google/genai/-/genai-1.20.0.tgz#b728bdb383fc58fbb1b92eff26e831ff598688c0" + integrity sha512-QdShxO9LX35jFogy3iKprQNqgKKveux4H2QjOnyIvyHRuGi6PHiz3fjNf8Y0VPY8o5V2fHqR2XqiSVoz7yZs0w== + dependencies: + google-auth-library "^9.14.2" + ws "^8.18.0" + "@graphql-tools/merge@8.3.1": version "8.3.1" resolved "https://registry.yarnpkg.com/@graphql-tools/merge/-/merge-8.3.1.tgz#06121942ad28982a14635dbc87b5d488a041d722" @@ -17459,6 +17467,17 @@ gaxios@^4.0.0: is-stream "^2.0.0" node-fetch "^2.3.0" +gaxios@^6.0.0, gaxios@^6.1.1: + version "6.7.1" + resolved "https://registry.npmjs.org/gaxios/-/gaxios-6.7.1.tgz#ebd9f7093ede3ba502685e73390248bb5b7f71fb" + integrity sha512-LDODD4TMYx7XXdpwxAVRAIAuB0bzv0s+ywFonY46k126qzQHT9ygyoa9tncmOiQmmDrik65UYsEkv3lbfqQ3yQ== + dependencies: + extend "^3.0.2" + https-proxy-agent "^7.0.1" + is-stream "^2.0.0" + node-fetch "^2.6.9" + uuid "^9.0.1" + gcp-metadata@^4.2.0: version "4.2.1" resolved "https://registry.yarnpkg.com/gcp-metadata/-/gcp-metadata-4.2.1.tgz#31849fbcf9025ef34c2297c32a89a1e7e9f2cd62" @@ -17467,6 +17486,15 @@ gcp-metadata@^4.2.0: gaxios "^4.0.0" json-bigint "^1.0.0" +gcp-metadata@^6.1.0: + version "6.1.1" + resolved "https://registry.npmjs.org/gcp-metadata/-/gcp-metadata-6.1.1.tgz#f65aa69f546bc56e116061d137d3f5f90bdec494" + integrity sha512-a4tiq7E0/5fTjxPAaH4jpjkSv/uCaU2p5KC6HVGrvl0cDjA8iBZv4vv1gyzlmK0ZUKqwpOyQMKzZQe3lTit77A== + dependencies: + gaxios "^6.1.1" + google-logging-utils "^0.0.2" + json-bigint "^1.0.0" + generate-function@^2.3.1: version "2.3.1" resolved "https://registry.yarnpkg.com/generate-function/-/generate-function-2.3.1.tgz#f069617690c10c868e73b8465746764f97c3479f" @@ -17978,6 +18006,23 @@ google-auth-library@^7.0.2: jws "^4.0.0" lru-cache "^6.0.0" +google-auth-library@^9.14.2: + version "9.15.1" + resolved "https://registry.npmjs.org/google-auth-library/-/google-auth-library-9.15.1.tgz#0c5d84ed1890b2375f1cd74f03ac7b806b392928" + integrity sha512-Jb6Z0+nvECVz+2lzSMt9u98UsoakXxA2HGHMCxh+so3n90XgYWkq5dur19JAJV7ONiJY22yBTyJB1TSkvPq9Ng== + dependencies: + base64-js "^1.3.0" + ecdsa-sig-formatter "^1.0.11" + gaxios "^6.1.1" + gcp-metadata "^6.1.0" + gtoken "^7.0.0" + jws "^4.0.0" + +google-logging-utils@^0.0.2: + version "0.0.2" + resolved "https://registry.npmjs.org/google-logging-utils/-/google-logging-utils-0.0.2.tgz#5fd837e06fa334da450433b9e3e1870c1594466a" + integrity sha512-NEgUnEcBiP5HrPzufUkBzJOD/Sxsco3rLNo1F1TNf7ieU8ryUzBhqba8r756CjLX7rn3fHl6iLEwPYuqpoKgQQ== + google-p12-pem@^3.0.3: version "3.1.4" resolved "https://registry.yarnpkg.com/google-p12-pem/-/google-p12-pem-3.1.4.tgz#123f7b40da204de4ed1fbf2fd5be12c047fc8b3b" @@ -18053,6 +18098,14 @@ gtoken@^5.0.4: google-p12-pem "^3.0.3" jws "^4.0.0" +gtoken@^7.0.0: + version "7.1.0" + resolved "https://registry.npmjs.org/gtoken/-/gtoken-7.1.0.tgz#d61b4ebd10132222817f7222b1e6064bd463fc26" + integrity sha512-pCcEwRi+TKpMlxAQObHDQ56KawURgyAf6jtIY046fJ5tIv3zDe/LEIubckAO8fj6JnAxLdmWkUfNyulQ2iKdEw== + dependencies: + gaxios "^6.0.0" + jws "^4.0.0" + gud@^1.0.0: version "1.0.0" resolved "https://registry.yarnpkg.com/gud/-/gud-1.0.0.tgz#a489581b17e6a70beca9abe3ae57de7a499852c0" @@ -18785,7 +18838,7 @@ https-proxy-agent@5.0.1, https-proxy-agent@^5.0.0, https-proxy-agent@^5.0.1: agent-base "6" debug "4" -https-proxy-agent@^7.0.0, https-proxy-agent@^7.0.5: +https-proxy-agent@^7.0.0, https-proxy-agent@^7.0.1, https-proxy-agent@^7.0.5: version "7.0.6" resolved "https://registry.yarnpkg.com/https-proxy-agent/-/https-proxy-agent-7.0.6.tgz#da8dfeac7da130b05c2ba4b59c9b6cd66611a6b9" integrity sha512-vK9P5/iUfdl95AI+JVyUuIcVtd4ofvtrOr3HNtM2yxC9bnMbEdp3x01OhQNnjb8IJYi38VlTE3mBXwcfvywuSw== @@ -23051,7 +23104,7 @@ node-fetch@^1.0.1: encoding "^0.1.11" is-stream "^1.0.1" -node-fetch@^2.3.0, node-fetch@^2.6.1, node-fetch@^2.6.7: +node-fetch@^2.3.0, node-fetch@^2.6.1, node-fetch@^2.6.7, node-fetch@^2.6.9: version "2.7.0" resolved "https://registry.yarnpkg.com/node-fetch/-/node-fetch-2.7.0.tgz#d0f0fa6e3e2dc1d27efcd8ad99d550bda94d187d" integrity sha512-c4FRfUm/dbcWZ7U+1Wq0AwCyFL+3nt2bEw05wfxSz+DWpWsitgmSgYmy2dQdWyKC1694ELPqMs/YzUSNozLt8A== @@ -28481,7 +28534,7 @@ string-template@~0.2.1: is-fullwidth-code-point "^3.0.0" strip-ansi "^6.0.1" -string-width@4.2.3, "string-width@^1.0.2 || 2 || 3 || 4", string-width@^4.0.0, string-width@^4.1.0, string-width@^4.2.0, string-width@^4.2.2, string-width@^4.2.3: +"string-width@^1.0.2 || 2 || 3 || 4", string-width@^4.0.0, string-width@^4.1.0, string-width@^4.2.0, string-width@^4.2.2, string-width@^4.2.3: version "4.2.3" resolved "https://registry.yarnpkg.com/string-width/-/string-width-4.2.3.tgz#269c7117d27b05ad2e536830a8ec895ef9c6d010" integrity sha512-wKyQRQpjJ0sIp62ErSZdGsjMJWsap5oRNihHhu6G7JVO/9jIB6UyevL+tXuOqrng8j/cxKTWyWUwvSTriiZz/g== @@ -28591,13 +28644,6 @@ stringify-object@^3.2.1: dependencies: ansi-regex "^5.0.1" -strip-ansi@6.0.1, strip-ansi@^6.0.0, strip-ansi@^6.0.1: - version "6.0.1" - resolved "https://registry.yarnpkg.com/strip-ansi/-/strip-ansi-6.0.1.tgz#9e26c63d30f53443e9489495b2105d37b67a85d9" - integrity sha512-Y38VPSHcqkFrCpFnQ9vuSXmquuv5oXOKpGeT6aGrr3o3Gc9AlVa6JBfUSOCnbxGGZF+/0ooI7KrPuUSztUdU5A== - dependencies: - ansi-regex "^5.0.1" - strip-ansi@^3.0.0: version "3.0.1" resolved "https://registry.yarnpkg.com/strip-ansi/-/strip-ansi-3.0.1.tgz#6a385fb8853d952d5ff05d0e8aaf94278dc63dcf" @@ -28619,6 +28665,13 @@ strip-ansi@^5.1.0, strip-ansi@^5.2.0: dependencies: ansi-regex "^4.1.0" +strip-ansi@^6.0.0, strip-ansi@^6.0.1: + version "6.0.1" + resolved "https://registry.yarnpkg.com/strip-ansi/-/strip-ansi-6.0.1.tgz#9e26c63d30f53443e9489495b2105d37b67a85d9" + integrity sha512-Y38VPSHcqkFrCpFnQ9vuSXmquuv5oXOKpGeT6aGrr3o3Gc9AlVa6JBfUSOCnbxGGZF+/0ooI7KrPuUSztUdU5A== + dependencies: + ansi-regex "^5.0.1" + strip-ansi@^7.0.1, strip-ansi@^7.1.0: version "7.1.0" resolved "https://registry.yarnpkg.com/strip-ansi/-/strip-ansi-7.1.0.tgz#d5b6568ca689d8561370b0707685d22434faff45" @@ -28768,9 +28821,8 @@ stylus@0.59.0, stylus@^0.59.0: sax "~1.2.4" source-map "^0.7.3" -sucrase@^3.27.0, sucrase@^3.35.0, sucrase@getsentry/sucrase#es2020-polyfills: +sucrase@^3.27.0, sucrase@^3.35.0: version "3.36.0" - uid fd682f6129e507c00bb4e6319cc5d6b767e36061 resolved "https://codeload.github.com/getsentry/sucrase/tar.gz/fd682f6129e507c00bb4e6319cc5d6b767e36061" dependencies: "@jridgewell/gen-mapping" "^0.3.2" @@ -31656,19 +31708,19 @@ wrangler@4.22.0: string-width "^4.1.0" strip-ansi "^6.0.0" -wrap-ansi@7.0.0, wrap-ansi@^7.0.0: - version "7.0.0" - resolved "https://registry.yarnpkg.com/wrap-ansi/-/wrap-ansi-7.0.0.tgz#67e145cff510a6a6984bdf1152911d69d2eb9e43" - integrity sha512-YVGIj2kamLSTxw6NsZjoBxfSwsn0ycdesmc4p+Q21c5zPuZ1pl+NfxVdxPtdHvmNVOQ6XSYG4AUtyt/Fi7D16Q== +wrap-ansi@^6.0.1: + version "6.2.0" + resolved "https://registry.yarnpkg.com/wrap-ansi/-/wrap-ansi-6.2.0.tgz#e9393ba07102e6c91a3b221478f0257cd2856e53" + integrity sha512-r6lPcBGxZXlIcymEu7InxDMhdW0KDxpLgoFLcguasxCaJ/SOIZwINatK9KY/tf+ZrlywOKU0UDj3ATXUBfxJXA== dependencies: ansi-styles "^4.0.0" string-width "^4.1.0" strip-ansi "^6.0.0" -wrap-ansi@^6.0.1: - version "6.2.0" - resolved "https://registry.yarnpkg.com/wrap-ansi/-/wrap-ansi-6.2.0.tgz#e9393ba07102e6c91a3b221478f0257cd2856e53" - integrity sha512-r6lPcBGxZXlIcymEu7InxDMhdW0KDxpLgoFLcguasxCaJ/SOIZwINatK9KY/tf+ZrlywOKU0UDj3ATXUBfxJXA== +wrap-ansi@^7.0.0: + version "7.0.0" + resolved "https://registry.yarnpkg.com/wrap-ansi/-/wrap-ansi-7.0.0.tgz#67e145cff510a6a6984bdf1152911d69d2eb9e43" + integrity sha512-YVGIj2kamLSTxw6NsZjoBxfSwsn0ycdesmc4p+Q21c5zPuZ1pl+NfxVdxPtdHvmNVOQ6XSYG4AUtyt/Fi7D16Q== dependencies: ansi-styles "^4.0.0" string-width "^4.1.0" From 7f9b83a986d8d803595c9265ca7cbcaa0061d177 Mon Sep 17 00:00:00 2001 From: RulaKhaled Date: 2025年9月19日 10:06:47 +0200 Subject: [PATCH 09/22] try to fix yarn lock --- yarn.lock | 36 ++++++++++++++++++------------------ 1 file changed, 18 insertions(+), 18 deletions(-) diff --git a/yarn.lock b/yarn.lock index 65374db06642..56ee0f3c9f37 100644 --- a/yarn.lock +++ b/yarn.lock @@ -28534,9 +28534,9 @@ string-template@~0.2.1: is-fullwidth-code-point "^3.0.0" strip-ansi "^6.0.1" -"string-width@^1.0.2 || 2 || 3 || 4", string-width@^4.0.0, string-width@^4.1.0, string-width@^4.2.0, string-width@^4.2.2, string-width@^4.2.3: +string-width@4.2.3, "string-width@^1.0.2 || 2 || 3 || 4", string-width@^4.0.0, string-width@^4.1.0, string-width@^4.2.0, string-width@^4.2.2, string-width@^4.2.3: version "4.2.3" - resolved "https://registry.yarnpkg.com/string-width/-/string-width-4.2.3.tgz#269c7117d27b05ad2e536830a8ec895ef9c6d010" + resolved "https://registry.npmjs.org/string-width/-/string-width-4.2.3.tgz#269c7117d27b05ad2e536830a8ec895ef9c6d010" integrity sha512-wKyQRQpjJ0sIp62ErSZdGsjMJWsap5oRNihHhu6G7JVO/9jIB6UyevL+tXuOqrng8j/cxKTWyWUwvSTriiZz/g== dependencies: emoji-regex "^8.0.0" @@ -28644,6 +28644,13 @@ stringify-object@^3.2.1: dependencies: ansi-regex "^5.0.1" +strip-ansi@6.0.1, strip-ansi@^6.0.0, strip-ansi@^6.0.1: + version "6.0.1" + resolved "https://registry.npmjs.org/strip-ansi/-/strip-ansi-6.0.1.tgz#9e26c63d30f53443e9489495b2105d37b67a85d9" + integrity sha512-Y38VPSHcqkFrCpFnQ9vuSXmquuv5oXOKpGeT6aGrr3o3Gc9AlVa6JBfUSOCnbxGGZF+/0ooI7KrPuUSztUdU5A== + dependencies: + ansi-regex "^5.0.1" + strip-ansi@^3.0.0: version "3.0.1" resolved "https://registry.yarnpkg.com/strip-ansi/-/strip-ansi-3.0.1.tgz#6a385fb8853d952d5ff05d0e8aaf94278dc63dcf" @@ -28665,13 +28672,6 @@ strip-ansi@^5.1.0, strip-ansi@^5.2.0: dependencies: ansi-regex "^4.1.0" -strip-ansi@^6.0.0, strip-ansi@^6.0.1: - version "6.0.1" - resolved "https://registry.yarnpkg.com/strip-ansi/-/strip-ansi-6.0.1.tgz#9e26c63d30f53443e9489495b2105d37b67a85d9" - integrity sha512-Y38VPSHcqkFrCpFnQ9vuSXmquuv5oXOKpGeT6aGrr3o3Gc9AlVa6JBfUSOCnbxGGZF+/0ooI7KrPuUSztUdU5A== - dependencies: - ansi-regex "^5.0.1" - strip-ansi@^7.0.1, strip-ansi@^7.1.0: version "7.1.0" resolved "https://registry.yarnpkg.com/strip-ansi/-/strip-ansi-7.1.0.tgz#d5b6568ca689d8561370b0707685d22434faff45" @@ -28821,7 +28821,7 @@ stylus@0.59.0, stylus@^0.59.0: sax "~1.2.4" source-map "^0.7.3" -sucrase@^3.27.0, sucrase@^3.35.0: +sucrase@^3.27.0, sucrase@^3.35.0, sucrase@getsentry/sucrase#es2020-polyfills: version "3.36.0" resolved "https://codeload.github.com/getsentry/sucrase/tar.gz/fd682f6129e507c00bb4e6319cc5d6b767e36061" dependencies: @@ -31708,19 +31708,19 @@ wrangler@4.22.0: string-width "^4.1.0" strip-ansi "^6.0.0" -wrap-ansi@^6.0.1: - version "6.2.0" - resolved "https://registry.yarnpkg.com/wrap-ansi/-/wrap-ansi-6.2.0.tgz#e9393ba07102e6c91a3b221478f0257cd2856e53" - integrity sha512-r6lPcBGxZXlIcymEu7InxDMhdW0KDxpLgoFLcguasxCaJ/SOIZwINatK9KY/tf+ZrlywOKU0UDj3ATXUBfxJXA== +wrap-ansi@7.0.0, wrap-ansi@^7.0.0: + version "7.0.0" + resolved "https://registry.npmjs.org/wrap-ansi/-/wrap-ansi-7.0.0.tgz#67e145cff510a6a6984bdf1152911d69d2eb9e43" + integrity sha512-YVGIj2kamLSTxw6NsZjoBxfSwsn0ycdesmc4p+Q21c5zPuZ1pl+NfxVdxPtdHvmNVOQ6XSYG4AUtyt/Fi7D16Q== dependencies: ansi-styles "^4.0.0" string-width "^4.1.0" strip-ansi "^6.0.0" -wrap-ansi@^7.0.0: - version "7.0.0" - resolved "https://registry.yarnpkg.com/wrap-ansi/-/wrap-ansi-7.0.0.tgz#67e145cff510a6a6984bdf1152911d69d2eb9e43" - integrity sha512-YVGIj2kamLSTxw6NsZjoBxfSwsn0ycdesmc4p+Q21c5zPuZ1pl+NfxVdxPtdHvmNVOQ6XSYG4AUtyt/Fi7D16Q== +wrap-ansi@^6.0.1: + version "6.2.0" + resolved "https://registry.yarnpkg.com/wrap-ansi/-/wrap-ansi-6.2.0.tgz#e9393ba07102e6c91a3b221478f0257cd2856e53" + integrity sha512-r6lPcBGxZXlIcymEu7InxDMhdW0KDxpLgoFLcguasxCaJ/SOIZwINatK9KY/tf+ZrlywOKU0UDj3ATXUBfxJXA== dependencies: ansi-styles "^4.0.0" string-width "^4.1.0" From d3053a3b3fd2ac0cfa36055b0573282d58b7e092 Mon Sep 17 00:00:00 2001 From: RulaKhaled Date: 2025年9月19日 10:56:28 +0200 Subject: [PATCH 10/22] quick comments --- .../suites/tracing/google-genai/instrument-with-pii.mjs | 1 - .../suites/tracing/google-genai/instrument.mjs | 1 - packages/core/src/utils/google-genai/types.ts | 8 -------- .../integrations/tracing/google-genai/instrumentation.ts | 6 +++++- 4 files changed, 5 insertions(+), 11 deletions(-) diff --git a/dev-packages/node-integration-tests/suites/tracing/google-genai/instrument-with-pii.mjs b/dev-packages/node-integration-tests/suites/tracing/google-genai/instrument-with-pii.mjs index dcc0896f107a..fa0a1136283d 100644 --- a/dev-packages/node-integration-tests/suites/tracing/google-genai/instrument-with-pii.mjs +++ b/dev-packages/node-integration-tests/suites/tracing/google-genai/instrument-with-pii.mjs @@ -7,7 +7,6 @@ Sentry.init({ tracesSampleRate: 1.0, sendDefaultPii: true, transport: loggingTransport, - integrations: [Sentry.googleGenAIIntegration()], beforeSendTransaction: event => { // Filter out mock express server transactions if (event.transaction.includes('/v1beta/')) { diff --git a/dev-packages/node-integration-tests/suites/tracing/google-genai/instrument.mjs b/dev-packages/node-integration-tests/suites/tracing/google-genai/instrument.mjs index ab25c0b848ae..9bcfb96ac103 100644 --- a/dev-packages/node-integration-tests/suites/tracing/google-genai/instrument.mjs +++ b/dev-packages/node-integration-tests/suites/tracing/google-genai/instrument.mjs @@ -7,7 +7,6 @@ Sentry.init({ tracesSampleRate: 1.0, sendDefaultPii: false, transport: loggingTransport, - integrations: [Sentry.googleGenAIIntegration()], beforeSendTransaction: event => { // Filter out mock express server transactions if (event.transaction.includes('/v1beta')) { diff --git a/packages/core/src/utils/google-genai/types.ts b/packages/core/src/utils/google-genai/types.ts index 3b79c3843f1f..9a2138a7843d 100644 --- a/packages/core/src/utils/google-genai/types.ts +++ b/packages/core/src/utils/google-genai/types.ts @@ -179,14 +179,6 @@ export interface GoogleGenAIChat { sendMessageStream: (...args: unknown[]) => Promise>; } -/** - * Google GenAI Integration interface for type safety - */ -export interface GoogleGenAIIntegration { - name: string; - options: GoogleGenAIOptions; -} - export type GoogleGenAIIstrumentedMethod = (typeof GOOGLE_GENAI_INSTRUMENTED_METHODS)[number]; // Export the response type for use in instrumentation diff --git a/packages/node/src/integrations/tracing/google-genai/instrumentation.ts b/packages/node/src/integrations/tracing/google-genai/instrumentation.ts index 6fd6d8236bdd..cfdb68973be6 100644 --- a/packages/node/src/integrations/tracing/google-genai/instrumentation.ts +++ b/packages/node/src/integrations/tracing/google-genai/instrumentation.ts @@ -37,6 +37,10 @@ export class SentryGoogleGenAiInstrumentation extends InstrumentationBase this._patch(exports), exports => exports, + // In CJS, @google/genai re-exports from (dist/node/index.cjs) file. + // Patching only the root module sometimes misses the real implementation or + // gets overwritten when that file is loaded. We add a file-level patch so that + // _patch runs again on the concrete implementation [ new InstrumentationNodeModuleFile( '@google/genai/dist/node/index.cjs', @@ -57,7 +61,7 @@ export class SentryGoogleGenAiInstrumentation extends InstrumentationBase Date: 2025年9月16日 11:49:35 +0200 Subject: [PATCH 11/22] feat(core): Support stream responses --- .../suites/tracing/google-genai/scenario.mjs | 286 ++++++++++++++++-- .../suites/tracing/google-genai/test.ts | 117 ++++++- .../core/src/utils/google-genai/constants.ts | 10 +- .../core/src/utils/google-genai/streaming.ts | 268 ++++++++++++++++ packages/core/src/utils/google-genai/utils.ts | 11 + 5 files changed, 655 insertions(+), 37 deletions(-) create mode 100644 packages/core/src/utils/google-genai/streaming.ts diff --git a/dev-packages/node-integration-tests/suites/tracing/google-genai/scenario.mjs b/dev-packages/node-integration-tests/suites/tracing/google-genai/scenario.mjs index cfae135b6878..99951af63adc 100644 --- a/dev-packages/node-integration-tests/suites/tracing/google-genai/scenario.mjs +++ b/dev-packages/node-integration-tests/suites/tracing/google-genai/scenario.mjs @@ -1,55 +1,213 @@ -import { GoogleGenAI } from '@google/genai'; +import { instrumentGoogleGenAIClient } from '@sentry/core'; import * as Sentry from '@sentry/node'; -import express from 'express'; -const PORT = 3333; +// Mock Google GenAI client +class MockGoogleGenAI { + constructor(apiKey, options = {}) { + this.apiKey = apiKey; + this.options = options; + } -function startMockGoogleGenAIServer() { - const app = express(); - app.use(express.json()); + get models() { + return { + generateContent: async (params) => { + // Simulate processing time + await new Promise(resolve => setTimeout(resolve, 10)); - app.post('/v1beta/models/:model\\:generateContent', (req, res) => { - const model = req.params.model; + if (params.model === 'error-model') { + const error = new Error('Model not found'); + error.status = 404; + throw error; + } - if (model === 'error-model') { - res.status(404).set('x-request-id', 'mock-request-123').end('Model not found'); - return; - } + return { + candidates: [ + { + content: { + parts: [ + { + text: 'Mock response from Google GenAI!', + }, + ], + role: 'model', + }, + finishReason: 'STOP', + index: 0, + }, + ], + usageMetadata: { + promptTokenCount: 8, + candidatesTokenCount: 12, + totalTokenCount: 20, + }, + }; + }, + + generateContentStream: 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; + throw error; + } + + if (params.model === 'blocked-model') { + // Return a stream with blocked content in the first chunk + return this._createBlockedMockStream(); + } + + // Return an async generator that yields chunks + return this._createMockStream(); + }, + }; + } + + get chats() { + return { + create: options => { + // Return a chat instance with sendMessage method and model info + const self = this; + return { + model: options?.model || 'unknown', // Include model from create options + sendMessage: async () => { + // Simulate processing time + await new Promise(resolve => setTimeout(resolve, 10)); + + return { + candidates: [ + { + content: { + parts: [ + { + text: 'Mock response from Google GenAI!', + }, + ], + role: 'model', + }, + finishReason: 'STOP', + index: 0, + }, + ], + usageMetadata: { + promptTokenCount: 10, + candidatesTokenCount: 15, + totalTokenCount: 25, + }, + }; + }, - res.send({ + sendMessageStream: async () => { + // Simulate processing time + await new Promise(resolve => setTimeout(resolve, 10)); + + // Return an async generator that yields chunks + return self._createMockStream(); + }, + }; + }, + }; + } + + // Helper method to create a mock stream that yields clear GenerateContentResponse chunks + async *_createMockStream() { + // First chunk: Start of response with initial text + yield { candidates: [ { content: { - parts: [ - { - text: 'Mock response from Google GenAI!', - }, - ], + parts: [{ text: 'Hello! ' }], role: 'model', }, - finishReason: 'stop', + index: 0, + }, + ], + responseId: 'mock-response-id', + modelVersion: 'gemini-1.5-pro', + }; + + // Second chunk: More text content + yield { + candidates: [ + { + content: { + parts: [{ text: 'This is a streaming ' }], + role: 'model', + }, + index: 0, + }, + ], + }; + + // Third chunk: Final text content + yield { + candidates: [ + { + content: { + parts: [{ text: 'response from Google GenAI!' }], + role: 'model', + }, + index: 0, + }, + ], + }; + + // Final chunk: End with finish reason and usage metadata + yield { + candidates: [ + { + content: { + parts: [{ text: '' }], // Empty text in final chunk + role: 'model', + }, + finishReason: 'STOP', index: 0, }, ], usageMetadata: { - promptTokenCount: 8, + promptTokenCount: 10, candidatesTokenCount: 12, - totalTokenCount: 20, + totalTokenCount: 22, }, - }); - }); + }; + } + + // Helper method to create a mock stream with blocked content (promptFeedback in first chunk) + async *_createBlockedMockStream() { + // First chunk: Contains promptFeedback with blockReason (this should trigger error handling) + yield { + promptFeedback: { + blockReason: 'SAFETY', + blockReasonMessage: 'The prompt was blocked due to safety concerns', + }, + responseId: 'mock-blocked-response-id', + modelVersion: 'gemini-1.5-pro', + }; - return app.listen(PORT); + // Note: In a real blocked scenario, there would typically be no more chunks + // But we'll add one more to test that processing stops after the error + yield { + candidates: [ + { + content: { + parts: [{ text: 'This should not be processed' }], + role: 'model', + }, + index: 0, + }, + ], + } + } } -async function run() { - const server = startMockGoogleGenAIServer(); +// Use the mock client instead of the real one +const GoogleGenAI = MockGoogleGenAI; +async function run() { await Sentry.startSpan({ op: 'function', name: 'main' }, async () => { - const client = new GoogleGenAI({ - apiKey: 'mock-api-key', - httpOptions: { baseUrl: `http://localhost:${PORT}` }, - }); + const mockClient = new GoogleGenAI('mock-api-key'); + const client = instrumentGoogleGenAIClient(mockClient); // Test 1: chats.create and sendMessage flow const chat = client.chats.create({ @@ -87,7 +245,71 @@ async function run() { ], }); - // Test 3: Error handling + // Test 3: models.generateContentStream (streaming) + const streamResponse = await client.models.generateContentStream({ + model: 'gemini-1.5-flash', + config: { + temperature: 0.7, + topP: 0.9, + maxOutputTokens: 100, + }, + contents: [ + { + role: 'user', + parts: [{ text: 'Tell me about streaming' }], + }, + ], + }); + + // Consume the stream + for await (const _ of streamResponse) { + void _; + } + + // Test 4: chat.sendMessageStream (streaming) + const streamingChat = client.chats.create({ + model: 'gemini-1.5-pro', + config: { + temperature: 0.8, + topP: 0.9, + maxOutputTokens: 150, + }, + }); + + const chatStreamResponse = await streamingChat.sendMessageStream({ + message: 'Tell me a streaming joke', + }); + + // Consume the chat stream + for await (const _ of chatStreamResponse) { + void _; + } + + // Test 5: Blocked content streaming (should trigger error handling) + try { + const blockedStreamResponse = await client.models.generateContentStream({ + model: 'blocked-model', + config: { + temperature: 0.7, + }, + contents: [ + { + role: 'user', + parts: [{ text: 'This content will be blocked' }], + }, + ], + }); + + // Consume the stream - should encounter promptFeedback error in first chunk + for await (const _ of blockedStreamResponse) { + void _; + } + } catch (error) { + // Expected: The stream should be processed, but the span should be marked with error status + // The error handling happens in the streaming instrumentation, not as a thrown error + } + + // Test 6: Error handling try { await client.models.generateContent({ model: 'error-model', @@ -102,8 +324,6 @@ async function run() { // Expected error } }); - - server.close(); } run(); diff --git a/dev-packages/node-integration-tests/suites/tracing/google-genai/test.ts b/dev-packages/node-integration-tests/suites/tracing/google-genai/test.ts index 9aa5523c61d7..95d25971755e 100644 --- a/dev-packages/node-integration-tests/suites/tracing/google-genai/test.ts +++ b/dev-packages/node-integration-tests/suites/tracing/google-genai/test.ts @@ -63,7 +63,58 @@ describe('Google GenAI integration', () => { origin: 'auto.ai.google_genai', status: 'ok', }), - // Fourth span - error handling + // Fourth span - models.generateContentStream (streaming) + 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.response.streaming': true, + 'gen_ai.response.id': 'mock-response-id', + 'gen_ai.response.model': 'gemini-1.5-pro', + }), + description: 'models gemini-1.5-flash stream-response', + op: 'gen_ai.models', + origin: 'auto.ai.google_genai', + }), + // Fifth span - chat.sendMessageStream (streaming) + 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.response.streaming': true, + 'gen_ai.response.id': 'mock-response-id', + 'gen_ai.response.model': 'gemini-1.5-pro', + }), + description: 'chat gemini-1.5-pro stream-response', + op: 'gen_ai.chat', + origin: 'auto.ai.google_genai', + }), + // Sixth span - blocked content stream + 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': 'blocked-model', + 'gen_ai.request.temperature': 0.7, + 'gen_ai.response.streaming': true, + }), + description: 'models blocked-model stream-response', + op: 'gen_ai.models', + origin: 'auto.ai.google_genai', + status: 'unknown_error', + }), + // Seventh span - error handling expect.objectContaining({ data: { 'gen_ai.operation.name': 'models', @@ -142,7 +193,57 @@ describe('Google GenAI integration', () => { origin: 'auto.ai.google_genai', status: 'ok', }), - // Fourth span - error handling with PII + // Fourth span - models.generateContentStream (streaming) 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.messages': expect.any(String), // Should include contents when recordInputs: true + 'gen_ai.response.streaming': true, + 'gen_ai.response.id': 'mock-response-id', + 'gen_ai.response.model': 'gemini-1.5-pro', + }), + description: 'models gemini-1.5-flash stream-response', + op: 'gen_ai.models', + origin: 'auto.ai.google_genai', + }), + // Fifth span - chat.sendMessageStream (streaming) 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.streaming': true, + 'gen_ai.response.id': 'mock-response-id', + 'gen_ai.response.model': 'gemini-1.5-pro', + }), + description: 'chat gemini-1.5-pro stream-response', + op: 'gen_ai.chat', + origin: 'auto.ai.google_genai', + }), + // Sixth span - blocked content stream 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': 'blocked-model', + 'gen_ai.request.messages': expect.any(String), // Should include contents when recordInputs: true + 'gen_ai.response.streaming': true, + }), + description: 'models blocked-model stream-response', + op: 'gen_ai.models', + origin: 'auto.ai.google_genai', + status: 'unknown_error', + }), + // Seventh span - error handling with PII expect.objectContaining({ data: expect.objectContaining({ 'gen_ai.operation.name': 'models', @@ -163,12 +264,22 @@ describe('Google GenAI integration', () => { const EXPECTED_TRANSACTION_WITH_OPTIONS = { transaction: 'main', spans: expect.arrayContaining([ - // Check that custom options are respected + // Check that custom options are respected for non-streaming 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 }), + description: expect.not.stringContaining('stream-response'), // Non-streaming span + }), + // Check that custom options are respected for streaming + expect.objectContaining({ + data: expect.objectContaining({ + 'gen_ai.response.streaming': true, + 'gen_ai.request.messages': expect.any(String), // Should include messages when recordInputs: true + 'gen_ai.response.text': expect.stringContaining('streaming'), // Should include response text when recordOutputs: true + }), + description: expect.stringContaining('stream-response'), }), ]), }; diff --git a/packages/core/src/utils/google-genai/constants.ts b/packages/core/src/utils/google-genai/constants.ts index 8617460482c6..b06e46e18755 100644 --- a/packages/core/src/utils/google-genai/constants.ts +++ b/packages/core/src/utils/google-genai/constants.ts @@ -2,7 +2,15 @@ export const GOOGLE_GENAI_INTEGRATION_NAME = 'Google_GenAI'; // https://ai.google.dev/api/rest/v1/models/generateContent // https://ai.google.dev/api/rest/v1/chats/sendMessage -export const GOOGLE_GENAI_INSTRUMENTED_METHODS = ['models.generateContent', 'chats.create', 'sendMessage'] as const; +// https://googleapis.github.io/js-genai/release_docs/classes/models.Models.html#generatecontentstream +// https://googleapis.github.io/js-genai/release_docs/classes/chats.Chat.html#sendmessagestream +export const GOOGLE_GENAI_INSTRUMENTED_METHODS = [ + 'models.generateContent', + 'models.generateContentStream', + 'chats.create', + 'sendMessage', + 'sendMessageStream', +] as const; // Constants for internal use export const GOOGLE_GENAI_SYSTEM_NAME = 'google_genai'; diff --git a/packages/core/src/utils/google-genai/streaming.ts b/packages/core/src/utils/google-genai/streaming.ts new file mode 100644 index 000000000000..1647d18e328d --- /dev/null +++ b/packages/core/src/utils/google-genai/streaming.ts @@ -0,0 +1,268 @@ +import { captureException } from '../../exports'; +import { SPAN_STATUS_ERROR } from '../../tracing'; +import type { Span } from '../../types-hoist/span'; +import { + GEN_AI_RESPONSE_FINISH_REASONS_ATTRIBUTE, + GEN_AI_RESPONSE_ID_ATTRIBUTE, + GEN_AI_RESPONSE_MODEL_ATTRIBUTE, + GEN_AI_RESPONSE_STREAMING_ATTRIBUTE, + GEN_AI_RESPONSE_TEXT_ATTRIBUTE, + GEN_AI_RESPONSE_TOOL_CALLS_ATTRIBUTE, + GEN_AI_USAGE_INPUT_TOKENS_ATTRIBUTE, + GEN_AI_USAGE_OUTPUT_TOKENS_ATTRIBUTE, + GEN_AI_USAGE_TOTAL_TOKENS_ATTRIBUTE, +} from '../ai/gen-ai-attributes'; +import type { GoogleGenAIResponse } from './types'; + +/** + * State object used to accumulate information from a stream of Google GenAI events. + */ +interface StreamingState { + /** Collected response text fragments (for output recording). */ + responseTexts: string[]; + /** Reasons for finishing the response, as reported by the API. */ + finishReasons: string[]; + /** The response ID. */ + responseId: string; + /** The model name. */ + responseModel: string; + /** Number of prompt/input tokens used. */ + promptTokens: number | undefined; + /** Number of completion/output tokens used. */ + completionTokens: number | undefined; + /** Number of total tokens used. */ + totalTokens: number | undefined; + /** Accumulated tool calls (finalized) */ + toolCalls: Array>; +} + +/** + * Checks if a response chunk contains an error + * @param chunk - The response chunk to check + * @param span - The span to update if error is found + * @returns Whether an error occurred + */ +function isErrorChunk(chunk: GoogleGenAIResponse, span: Span): boolean { + // Check for errors in the response + if (chunk && typeof chunk === 'object') { + // Google GenAI may include error information in promptFeedback + if (chunk.promptFeedback && typeof chunk.promptFeedback === 'object') { + const feedback = chunk.promptFeedback; + if (feedback.blockReason && typeof feedback.blockReason === 'string') { + // Use blockReasonMessage if available (more descriptive), otherwise use blockReason (enum) + const errorMessage = feedback.blockReasonMessage ? feedback.blockReasonMessage : feedback.blockReason; + + span.setStatus({ code: SPAN_STATUS_ERROR, message: `Content blocked: ${errorMessage}` }); + captureException(`Content blocked: ${errorMessage}`, { + mechanism: { + handled: false, + type: 'auto.ai.google_genai', + }, + }); + return true; + } + } + + // Check for blocked candidates based on finish reasons + if (chunk.candidates) { + for (const candidate of chunk.candidates) { + if (candidate && typeof candidate === 'object' && candidate.finishReason) { + span.setStatus({ + code: SPAN_STATUS_ERROR, + message: `Model stopped generating tokens: ${candidate.finishReason}`, + }); + captureException(`Model stopped generating tokens: ${candidate.finishReason}`, { + mechanism: { + handled: false, + type: 'auto.ai.google_genai', + }, + }); + return true; + } + } + } + } + return false; +} + +/** + * Processes response metadata from a chunk + * @param chunk - The response chunk to process + * @param state - The state of the streaming process + */ +function handleResponseMetadata(chunk: GoogleGenAIResponse, state: StreamingState): void { + if (!chunk || typeof chunk !== 'object') return; + + // Extract response ID + if (chunk.responseId && typeof chunk.responseId === 'string') { + state.responseId = chunk.responseId; + } + + // Extract model version + if (chunk.modelVersion && typeof chunk.modelVersion === 'string') { + state.responseModel = chunk.modelVersion; + } + + // Extract usage metadata + if (chunk.usageMetadata && typeof chunk.usageMetadata === 'object') { + const usage = chunk.usageMetadata; + if (typeof usage.promptTokenCount === 'number') { + state.promptTokens = usage.promptTokenCount; + } + if (typeof usage.candidatesTokenCount === 'number') { + state.completionTokens = usage.candidatesTokenCount; + } + if (typeof usage.totalTokenCount === 'number') { + state.totalTokens = usage.totalTokenCount; + } + } +} + +/** + * Processes candidate content from a response chunk + * @param chunk - The response chunk to process + * @param state - The state of the streaming process + * @param recordOutputs - Whether to record outputs + */ +function handleCandidateContent(chunk: GoogleGenAIResponse, state: StreamingState, recordOutputs: boolean): void { + if (!chunk?.candidates) return; + + for (const candidate of chunk.candidates) { + if (!candidate || typeof candidate !== 'object') continue; + + // Extract finish reason + if (candidate.finishReason) { + if (!state.finishReasons.includes(candidate.finishReason)) { + state.finishReasons.push(candidate.finishReason); + } + } + + // Extract content + if (candidate.content) { + const content = candidate.content; + if (content.parts) { + for (const part of content.parts) { + // Extract text content for output recording + if (recordOutputs && part.text) { + state.responseTexts.push(part.text); + } + + // Extract function calls + if (part.functionCall) { + state.toolCalls.push({ + type: 'function', + id: part.functionCall?.id, + name: part.functionCall?.name, + arguments: part.functionCall?.args, + }); + } + } + } + } + } +} + +/** + * Processes a single chunk from the Google GenAI stream + * @param chunk - The chunk to process + * @param state - The state of the streaming process + * @param recordOutputs - Whether to record outputs + * @param span - The span to update + */ +function processChunk(chunk: GoogleGenAIResponse, state: StreamingState, recordOutputs: boolean, span: Span): void { + if (!chunk || typeof chunk !== 'object') { + return; + } + + const isError = isErrorChunk(chunk, span); + if (isError) return; + + handleResponseMetadata(chunk, state); + handleCandidateContent(chunk, state, recordOutputs); +} + +/** + * Instruments an async iterable stream of Google GenAI response chunks, updates the span with + * streaming attributes and (optionally) the aggregated output text, and yields + * each chunk from the input stream unchanged. + */ +export async function* instrumentStream( + stream: AsyncIterable, + span: Span, + recordOutputs: boolean, +): AsyncGenerator { + const state: StreamingState = { + responseTexts: [], + finishReasons: [], + responseId: '', + responseModel: '', + promptTokens: undefined, + completionTokens: undefined, + totalTokens: undefined, + toolCalls: [], + }; + + try { + for await (const chunk of stream) { + processChunk(chunk, state, recordOutputs, span); + yield chunk; + } + } finally { + // Set common response attributes if available + if (state.responseId) { + span.setAttributes({ + [GEN_AI_RESPONSE_ID_ATTRIBUTE]: state.responseId, + }); + } + if (state.responseModel) { + span.setAttributes({ + [GEN_AI_RESPONSE_MODEL_ATTRIBUTE]: state.responseModel, + }); + } + + // Set token usage attributes + if (state.promptTokens !== undefined) { + span.setAttributes({ + [GEN_AI_USAGE_INPUT_TOKENS_ATTRIBUTE]: state.promptTokens, + }); + } + if (state.completionTokens !== undefined) { + span.setAttributes({ + [GEN_AI_USAGE_OUTPUT_TOKENS_ATTRIBUTE]: state.completionTokens, + }); + } + if (state.totalTokens !== undefined) { + span.setAttributes({ + [GEN_AI_USAGE_TOTAL_TOKENS_ATTRIBUTE]: state.totalTokens, + }); + } + + // Mark as streaming response + span.setAttributes({ + [GEN_AI_RESPONSE_STREAMING_ATTRIBUTE]: true, + }); + + // Set finish reasons if available + if (state.finishReasons.length> 0) { + span.setAttributes({ + [GEN_AI_RESPONSE_FINISH_REASONS_ATTRIBUTE]: JSON.stringify(state.finishReasons), + }); + } + + // Set response text if recording outputs + if (recordOutputs && state.responseTexts.length> 0) { + span.setAttributes({ + [GEN_AI_RESPONSE_TEXT_ATTRIBUTE]: state.responseTexts.join(''), + }); + } + + // Set tool calls if any were captured + if (recordOutputs && state.toolCalls.length> 0) { + span.setAttributes({ + [GEN_AI_RESPONSE_TOOL_CALLS_ATTRIBUTE]: JSON.stringify(state.toolCalls), + }); + } + + span.end(); + } +} diff --git a/packages/core/src/utils/google-genai/utils.ts b/packages/core/src/utils/google-genai/utils.ts index c7a18477c7dd..a394ed64a1bb 100644 --- a/packages/core/src/utils/google-genai/utils.ts +++ b/packages/core/src/utils/google-genai/utils.ts @@ -14,3 +14,14 @@ export function shouldInstrument(methodPath: string): methodPath is GoogleGenAII const methodName = methodPath.split('.').pop(); return GOOGLE_GENAI_INSTRUMENTED_METHODS.includes(methodName as GoogleGenAIIstrumentedMethod); } + +/** + * Check if a method is a streaming method + */ +export function isStreamingMethod(methodPath: string): boolean { + return ( + methodPath.includes('Stream') || + methodPath.endsWith('generateContentStream') || + methodPath.endsWith('sendMessageStream') + ); +} From 61f204db5a1bafef63f97eef98eb794e2a3fca0e Mon Sep 17 00:00:00 2001 From: RulaKhaled Date: 2025年9月16日 16:59:25 +0200 Subject: [PATCH 12/22] Update with tool calls --- .../tracing/google-genai/scenario-tools.mjs | 298 ++++++++++++++++++ .../suites/tracing/google-genai/test.ts | 76 +++++ packages/core/src/utils/google-genai/index.ts | 23 +- .../core/src/utils/google-genai/streaming.ts | 29 +- 4 files changed, 405 insertions(+), 21 deletions(-) create mode 100644 dev-packages/node-integration-tests/suites/tracing/google-genai/scenario-tools.mjs diff --git a/dev-packages/node-integration-tests/suites/tracing/google-genai/scenario-tools.mjs b/dev-packages/node-integration-tests/suites/tracing/google-genai/scenario-tools.mjs new file mode 100644 index 000000000000..1b19474aaf44 --- /dev/null +++ b/dev-packages/node-integration-tests/suites/tracing/google-genai/scenario-tools.mjs @@ -0,0 +1,298 @@ +import { instrumentGoogleGenAIClient } from '@sentry/core'; +import * as Sentry from '@sentry/node'; + +class MockGoogleGenAI { + constructor(config) { + this.apiKey = config.apiKey; + + this.models = { + generateContent: async params => { + // Simulate processing time + await new Promise(resolve => setTimeout(resolve, 10)); + + // Check if tools are provided to return function call response + if (params.config?.tools && params.config.tools.length> 0) { + const response = { + candidates: [ + { + content: { + parts: [ + { + text: 'I need to check the light status first.', + }, + { + functionCall: { + id: 'call_light_control_1', + name: 'controlLight', + args: { + brightness: 0.3, + colorTemperature: 'warm', + }, + }, + }, + ], + role: 'model', + }, + finishReason: 'stop', + index: 0, + }, + ], + usageMetadata: { + promptTokenCount: 15, + candidatesTokenCount: 8, + totalTokenCount: 23, + }, + }; + + // Add functionCalls getter, this should exist in the response object + Object.defineProperty(response, 'functionCalls', { + get: function () { + return [ + { + id: 'call_light_control_1', + name: 'controlLight', + args: { + brightness: 0.3, + colorTemperature: 'warm', + }, + }, + ]; + }, + enumerable: false, + }); + + return response; + } + + return { + candidates: [ + { + content: { + parts: [ + { + text: 'Mock response from Google GenAI without tools!', + }, + ], + role: 'model', + }, + finishReason: 'stop', + index: 0, + }, + ], + usageMetadata: { + promptTokenCount: 8, + candidatesTokenCount: 12, + totalTokenCount: 20, + }, + }; + }, + + generateContentStream: async params => { + // Simulate processing time + await new Promise(resolve => setTimeout(resolve, 10)); + + // Check if tools are provided to return function call response + if (params.config?.tools && params.config.tools.length> 0) { + return this._createMockStreamWithTools(); + } + + return this._createMockStream(); + }, + }; + } + + // Helper method to create a mock stream with tool calls + async *_createMockStreamWithTools() { + // First chunk: Text response + yield { + candidates: [ + { + content: { + parts: [{ text: 'Let me control the lights for you.' }], + role: 'model', + }, + index: 0, + }, + ], + responseId: 'mock-response-tools-id', + modelVersion: 'gemini-2.0-flash-001', + }; + + // Second chunk: Function call + const functionCallChunk = { + candidates: [ + { + content: { + parts: [ + { + functionCall: { + id: 'call_light_stream_1', + name: 'controlLight', + args: { + brightness: 0.5, + colorTemperature: 'cool', + }, + }, + }, + ], + role: 'model', + }, + index: 0, + }, + ], + }; + + // Add functionCalls getter to streaming chunk + Object.defineProperty(functionCallChunk, 'functionCalls', { + get: function () { + return [ + { + id: 'call_light_stream_1', + name: 'controlLight', + args: { + brightness: 0.5, + colorTemperature: 'cool', + }, + }, + ]; + }, + enumerable: false, + }); + + yield functionCallChunk; + + // Final chunk: End with finish reason and usage metadata + yield { + candidates: [ + { + content: { + parts: [{ text: ' Done!' }], // Additional text in final chunk + role: 'model', + }, + finishReason: 'STOP', + index: 0, + }, + ], + usageMetadata: { + promptTokenCount: 12, + candidatesTokenCount: 10, + totalTokenCount: 22, + }, + }; + } + + // Helper method to create a regular mock stream without tools + async *_createMockStream() { + // First chunk: Start of response + yield { + candidates: [ + { + content: { + parts: [{ text: 'Mock streaming response' }], + role: 'model', + }, + index: 0, + }, + ], + responseId: 'mock-response-id', + modelVersion: 'gemini-1.5-flash', + }; + + // Final chunk + yield { + candidates: [ + { + content: { + parts: [{ text: ' from Google GenAI!' }], + role: 'model', + }, + finishReason: 'STOP', + index: 0, + }, + ], + usageMetadata: { + promptTokenCount: 10, + candidatesTokenCount: 12, + totalTokenCount: 22, + }, + }; + } +} + +async function run() { + const genAI = new MockGoogleGenAI({ apiKey: 'test-api-key' }); + const instrumentedClient = instrumentGoogleGenAIClient(genAI); + + await Sentry.startSpan({ name: 'main', op: 'function' }, async () => { + // Test 1: Non-streaming with tools + await instrumentedClient.models.generateContent({ + model: 'gemini-2.0-flash-001', + contents: 'Dim the lights so the room feels cozy and warm.', + config: { + tools: [ + { + functionDeclarations: [ + { + name: 'controlLight', + parametersJsonSchema: { + type: 'object', + properties: { + brightness: { + type: 'number', + }, + colorTemperature: { + type: 'string', + }, + }, + required: ['brightness', 'colorTemperature'], + }, + }, + ], + }, + ], + }, + }); + + // Test 2: Streaming with tools + const stream = await instrumentedClient.models.generateContentStream({ + model: 'gemini-2.0-flash-001', + contents: 'Turn on the lights with medium brightness.', + config: { + tools: [ + { + functionDeclarations: [ + { + name: 'controlLight', + parametersJsonSchema: { + type: 'object', + properties: { + brightness: { + type: 'number', + }, + colorTemperature: { + type: 'string', + }, + }, + required: ['brightness', 'colorTemperature'], + }, + }, + ], + }, + ], + }, + }); + + // Consume the stream to trigger instrumentation + for await (const _ of stream) { + void _; + } + + // Test 3: Without tools for comparison + await instrumentedClient.models.generateContent({ + model: 'gemini-1.5-flash', + contents: 'Tell me about the weather.', + }); + }); +} + +run(); diff --git a/dev-packages/node-integration-tests/suites/tracing/google-genai/test.ts b/dev-packages/node-integration-tests/suites/tracing/google-genai/test.ts index 95d25971755e..80d5be16db6f 100644 --- a/dev-packages/node-integration-tests/suites/tracing/google-genai/test.ts +++ b/dev-packages/node-integration-tests/suites/tracing/google-genai/test.ts @@ -313,4 +313,80 @@ describe('Google GenAI integration', () => { .completed(); }); }); + + const EXPECTED_TRANSACTION_TOOLS = { + transaction: 'main', + spans: expect.arrayContaining([ + // Non-streaming with tools + 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-2.0-flash-001', + 'gen_ai.request.available_tools': expect.any(String), // Should include tools + 'gen_ai.request.messages': expect.any(String), // Should include contents + 'gen_ai.response.text': expect.any(String), // Should include response text + 'gen_ai.response.tool_calls': expect.any(String), // Should include tool calls + 'gen_ai.usage.input_tokens': 15, + 'gen_ai.usage.output_tokens': 8, + 'gen_ai.usage.total_tokens': 23, + }), + description: 'models gemini-2.0-flash-001', + op: 'gen_ai.models', + origin: 'auto.ai.google_genai', + status: 'ok', + }), + // Streaming with tools + 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-2.0-flash-001', + 'gen_ai.request.available_tools': expect.any(String), // Should include tools + 'gen_ai.request.messages': expect.any(String), // Should include contents + 'gen_ai.response.streaming': true, + 'gen_ai.response.text': expect.any(String), // Should include response text + 'gen_ai.response.tool_calls': expect.any(String), // Should include tool calls + 'gen_ai.response.id': 'mock-response-tools-id', + 'gen_ai.response.model': 'gemini-2.0-flash-001', + 'gen_ai.usage.input_tokens': 12, + 'gen_ai.usage.output_tokens': 10, + 'gen_ai.usage.total_tokens': 22, + }), + description: 'models gemini-2.0-flash-001 stream-response', + op: 'gen_ai.models', + origin: 'auto.ai.google_genai', + status: 'ok', + }), + // Without tools for comparison + 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.messages': expect.any(String), // Should include contents + 'gen_ai.response.text': expect.any(String), // Should include response text + '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', + }), + ]), + }; + + createEsmAndCjsTests(__dirname, 'scenario-tools.mjs', 'instrument-with-options.mjs', (createRunner, test) => { + test('creates google genai related spans with tool calls', async () => { + await createRunner().ignore('event').expect({ transaction: EXPECTED_TRANSACTION_TOOLS }).start().completed(); + }); + }); }); diff --git a/packages/core/src/utils/google-genai/index.ts b/packages/core/src/utils/google-genai/index.ts index cdad221ac60f..e7a6e58f1260 100644 --- a/packages/core/src/utils/google-genai/index.ts +++ b/packages/core/src/utils/google-genai/index.ts @@ -5,6 +5,7 @@ import { startSpan } from '../../tracing/trace'; import type { Span, SpanAttributeValue } from '../../types-hoist/span'; import { GEN_AI_OPERATION_NAME_ATTRIBUTE, + GEN_AI_REQUEST_AVAILABLE_TOOLS_ATTRIBUTE, GEN_AI_REQUEST_FREQUENCY_PENALTY_ATTRIBUTE, GEN_AI_REQUEST_MAX_TOKENS_ATTRIBUTE, GEN_AI_REQUEST_MESSAGES_ATTRIBUTE, @@ -14,6 +15,7 @@ import { GEN_AI_REQUEST_TOP_K_ATTRIBUTE, GEN_AI_REQUEST_TOP_P_ATTRIBUTE, GEN_AI_RESPONSE_TEXT_ATTRIBUTE, + GEN_AI_RESPONSE_TOOL_CALLS_ATTRIBUTE, GEN_AI_SYSTEM_ATTRIBUTE, GEN_AI_USAGE_INPUT_TOKENS_ATTRIBUTE, GEN_AI_USAGE_OUTPUT_TOKENS_ATTRIBUTE, @@ -108,7 +110,16 @@ function extractRequestAttributes( // Extract generation config parameters if ('config' in params && typeof params.config === 'object' && params.config) { - Object.assign(attributes, extractConfigAttributes(params.config as Record)); + const config = params.config as Record; + Object.assign(attributes, extractConfigAttributes(config)); + + // Extract available tools from config + if ('tools' in config && Array.isArray(config.tools)) { + const functionDeclarations = config.tools.map( + (tool: { functionDeclarations: unknown[] }) => tool.functionDeclarations, + ); + attributes[GEN_AI_REQUEST_AVAILABLE_TOOLS_ATTRIBUTE] = JSON.stringify(functionDeclarations); + } } } else { attributes[GEN_AI_REQUEST_MODEL_ATTRIBUTE] = extractModel({}, context); @@ -186,6 +197,16 @@ function addResponseAttributes(span: Span, response: GoogleGenAIResponse, record }); } } + + // Add tool calls if recordOutputs is enabled + if (recordOutputs && response.functionCalls) { + const functionCalls = response.functionCalls; + if (Array.isArray(functionCalls) && functionCalls.length> 0) { + span.setAttributes({ + [GEN_AI_RESPONSE_TOOL_CALLS_ATTRIBUTE]: JSON.stringify(functionCalls), + }); + } + } } /** diff --git a/packages/core/src/utils/google-genai/streaming.ts b/packages/core/src/utils/google-genai/streaming.ts index 1647d18e328d..a5c9e464555c 100644 --- a/packages/core/src/utils/google-genai/streaming.ts +++ b/packages/core/src/utils/google-genai/streaming.ts @@ -62,25 +62,6 @@ function isErrorChunk(chunk: GoogleGenAIResponse, span: Span): boolean { return true; } } - - // Check for blocked candidates based on finish reasons - if (chunk.candidates) { - for (const candidate of chunk.candidates) { - if (candidate && typeof candidate === 'object' && candidate.finishReason) { - span.setStatus({ - code: SPAN_STATUS_ERROR, - message: `Model stopped generating tokens: ${candidate.finishReason}`, - }); - captureException(`Model stopped generating tokens: ${candidate.finishReason}`, { - mechanism: { - handled: false, - type: 'auto.ai.google_genai', - }, - }); - return true; - } - } - } } return false; } @@ -125,6 +106,14 @@ function handleResponseMetadata(chunk: GoogleGenAIResponse, state: StreamingStat * @param recordOutputs - Whether to record outputs */ function handleCandidateContent(chunk: GoogleGenAIResponse, state: StreamingState, recordOutputs: boolean): void { + // Check for direct functionCalls getter first + if (chunk.functionCalls && Array.isArray(chunk.functionCalls)) { + const functionCalls = chunk.functionCalls; + for (const functionCall of functionCalls) { + state.toolCalls.push(functionCall); + } + } + if (!chunk?.candidates) return; for (const candidate of chunk.candidates) { @@ -147,7 +136,7 @@ function handleCandidateContent(chunk: GoogleGenAIResponse, state: StreamingStat state.responseTexts.push(part.text); } - // Extract function calls + // Extract function calls (fallback method) if (part.functionCall) { state.toolCalls.push({ type: 'function', From 25d87ea18d1f6e2cd2e681e03b10ab1bf0c6615e Mon Sep 17 00:00:00 2001 From: RulaKhaled Date: 2025年9月19日 15:37:01 +0200 Subject: [PATCH 13/22] resolve conflicts --- .../google-genai/scenario-streaming.mjs | 261 ++++++++++++++ .../tracing/google-genai/scenario-tools.mjs | 294 ++++++++-------- .../suites/tracing/google-genai/scenario.mjs | 287 ++-------------- .../suites/tracing/google-genai/test.ts | 325 ++++++++++++------ packages/core/src/utils/google-genai/index.ts | 50 ++- .../core/src/utils/google-genai/streaming.ts | 3 +- 6 files changed, 699 insertions(+), 521 deletions(-) create mode 100644 dev-packages/node-integration-tests/suites/tracing/google-genai/scenario-streaming.mjs diff --git a/dev-packages/node-integration-tests/suites/tracing/google-genai/scenario-streaming.mjs b/dev-packages/node-integration-tests/suites/tracing/google-genai/scenario-streaming.mjs new file mode 100644 index 000000000000..d392e5268966 --- /dev/null +++ b/dev-packages/node-integration-tests/suites/tracing/google-genai/scenario-streaming.mjs @@ -0,0 +1,261 @@ +import { GoogleGenAI } from '@google/genai'; +import * as Sentry from '@sentry/node'; +import express from 'express'; + +const PORT = 3334; + +function startMockGoogleGenAIServer() { + const app = express(); + app.use(express.json()); + + // Streaming endpoint for models.generateContentStream + app.post('/v1beta/models/:model\\:streamGenerateContent', (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; + } + + // Set headers for streaming response + res.setHeader('Content-Type', 'application/json'); + res.setHeader('Transfer-Encoding', 'chunked'); + + // Create a mock stream + const mockStream = createMockStream(model); + + // Send chunks + const sendChunk = async () => { + const { value, done } = await mockStream.next(); + if (done) { + res.end(); + return; + } + + res.write(`data: ${JSON.stringify(value)}\n\n`); + setTimeout(sendChunk, 10); // Small delay between chunks + }; + + sendChunk(); + }); + + // Streaming endpoint for chat.sendMessageStream + app.post('/v1beta/models/:model\\:streamGenerateContent', (req, res) => { + const model = req.params.model; + + // Set headers for streaming response + res.setHeader('Content-Type', 'application/json'); + res.setHeader('Transfer-Encoding', 'chunked'); + + // Create a mock stream + const mockStream = createMockStream(model); + + // Send chunks + const sendChunk = async () => { + const { value, done } = await mockStream.next(); + if (done) { + res.end(); + return; + } + + res.write(`data: ${JSON.stringify(value)}\n\n`); + setTimeout(sendChunk, 10); // Small delay between chunks + }; + + sendChunk(); + }); + + return app.listen(PORT); +} + +// Helper function to create mock stream +async function* createMockStream(model) { + if (model === 'blocked-model') { + // First chunk: Contains promptFeedback with blockReason + yield { + promptFeedback: { + blockReason: 'SAFETY', + blockReasonMessage: 'The prompt was blocked due to safety concerns', + }, + responseId: 'mock-blocked-response-streaming-id', + modelVersion: 'gemini-1.5-pro', + }; + + // Note: In a real blocked scenario, there would typically be no more chunks + // But we'll add one more to test that processing stops after the error + yield { + candidates: [ + { + content: { + parts: [{ text: 'This should not be processed' }], + role: 'model', + }, + index: 0, + }, + ], + }; + return; + } + + // First chunk: Start of response with initial text + yield { + candidates: [ + { + content: { + parts: [{ text: 'Hello! ' }], + role: 'model', + }, + index: 0, + }, + ], + responseId: 'mock-response-streaming-id', + modelVersion: 'gemini-1.5-pro', + }; + + // Second chunk: More text content + yield { + candidates: [ + { + content: { + parts: [{ text: 'This is a streaming ' }], + role: 'model', + }, + index: 0, + }, + ], + }; + + // Third chunk: Final text content + yield { + candidates: [ + { + content: { + parts: [{ text: 'response from Google GenAI!' }], + role: 'model', + }, + index: 0, + }, + ], + }; + + // Final chunk: End with finish reason and usage metadata + yield { + candidates: [ + { + content: { + parts: [{ text: '' }], // Empty text in final chunk + role: 'model', + }, + finishReason: 'STOP', + index: 0, + }, + ], + usageMetadata: { + promptTokenCount: 10, + candidatesTokenCount: 12, + totalTokenCount: 22, + }, + }; +} + +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: models.generateContentStream (streaming) + const streamResponse = await client.models.generateContentStream({ + model: 'gemini-1.5-flash', + config: { + temperature: 0.7, + topP: 0.9, + maxOutputTokens: 100, + }, + contents: [ + { + role: 'user', + parts: [{ text: 'Tell me about streaming' }], + }, + ], + }); + + // Consume the stream + for await (const _ of streamResponse) { + void _; + } + + // Test 2: chat.sendMessageStream (streaming) + const streamingChat = client.chats.create({ + model: 'gemini-1.5-pro', + config: { + temperature: 0.8, + topP: 0.9, + maxOutputTokens: 150, + }, + }); + + const chatStreamResponse = await streamingChat.sendMessageStream({ + message: 'Tell me a streaming joke', + }); + + // Consume the chat stream + for await (const _ of chatStreamResponse) { + void _; + } + + // Test 3: Blocked content streaming (should trigger error handling) + try { + const blockedStreamResponse = await client.models.generateContentStream({ + model: 'blocked-model', + config: { + temperature: 0.7, + }, + contents: [ + { + role: 'user', + parts: [{ text: 'This should be blocked' }], + }, + ], + }); + + // Consume the blocked stream + for await (const _ of blockedStreamResponse) { + void _; + } + } catch (error) { + // Expected: The stream should be processed, but the span should be marked with error status + // The error handling happens in the streaming instrumentation, not as a thrown error + } + + // Test 4: Error handling for streaming + try { + const errorStreamResponse = await client.models.generateContentStream({ + model: 'error-model', + config: { + temperature: 0.7, + }, + contents: [ + { + role: 'user', + parts: [{ text: 'This will fail' }], + }, + ], + }); + + // Consume the error stream + for await (const _ of errorStreamResponse) { + void _; + } + } catch (error) { + // Expected error + } + }); + + server.close(); +} + +run(); diff --git a/dev-packages/node-integration-tests/suites/tracing/google-genai/scenario-tools.mjs b/dev-packages/node-integration-tests/suites/tracing/google-genai/scenario-tools.mjs index 1b19474aaf44..d090518202f9 100644 --- a/dev-packages/node-integration-tests/suites/tracing/google-genai/scenario-tools.mjs +++ b/dev-packages/node-integration-tests/suites/tracing/google-genai/scenario-tools.mjs @@ -1,108 +1,129 @@ -import { instrumentGoogleGenAIClient } from '@sentry/core'; +import { GoogleGenAI } from '@google/genai'; import * as Sentry from '@sentry/node'; +import express from 'express'; -class MockGoogleGenAI { - constructor(config) { - this.apiKey = config.apiKey; +const PORT = 3335; // Different port to avoid conflicts - this.models = { - generateContent: async params => { - // Simulate processing time - await new Promise(resolve => setTimeout(resolve, 10)); +function startMockGoogleGenAIServer() { + const app = express(); + app.use(express.json()); - // Check if tools are provided to return function call response - if (params.config?.tools && params.config.tools.length> 0) { - const response = { - candidates: [ - { - content: { - parts: [ - { - text: 'I need to check the light status first.', - }, - { - functionCall: { - id: 'call_light_control_1', - name: 'controlLight', - args: { - brightness: 0.3, - colorTemperature: 'warm', - }, - }, - }, - ], - role: 'model', - }, - finishReason: 'stop', - index: 0, - }, - ], - usageMetadata: { - promptTokenCount: 15, - candidatesTokenCount: 8, - totalTokenCount: 23, - }, - }; + // Non-streaming endpoint for models.generateContent + app.post('/v1beta/models/:model\\:generateContent', (req, res) => { + const { tools } = req.body; - // Add functionCalls getter, this should exist in the response object - Object.defineProperty(response, 'functionCalls', { - get: function () { - return [ + // Check if tools are provided to return function call response + if (tools && tools.length> 0) { + const response = { + candidates: [ + { + content: { + parts: [ { - id: 'call_light_control_1', - name: 'controlLight', - args: { - brightness: 0.3, - colorTemperature: 'warm', + text: 'I need to check the light status first.', + }, + { + functionCall: { + id: 'call_light_control_1', + name: 'controlLight', + args: { + brightness: 0.3, + colorTemperature: 'warm', + }, }, }, - ]; + ], + role: 'model', }, - enumerable: false, - }); - - return response; - } + finishReason: 'stop', + index: 0, + }, + ], + usageMetadata: { + promptTokenCount: 15, + candidatesTokenCount: 8, + totalTokenCount: 23, + }, + }; - return { - candidates: [ + // Add functionCalls getter, this should exist in the response object + Object.defineProperty(response, 'functionCalls', { + get: function () { + return [ { - content: { - parts: [ - { - text: 'Mock response from Google GenAI without tools!', - }, - ], - role: 'model', + id: 'call_light_control_1', + name: 'controlLight', + args: { + brightness: 0.3, + colorTemperature: 'warm', }, - finishReason: 'stop', - index: 0, }, - ], - usageMetadata: { - promptTokenCount: 8, - candidatesTokenCount: 12, - totalTokenCount: 20, + ]; + }, + }); + + res.send(response); + return; + } + + // Regular response without tools + res.send({ + candidates: [ + { + content: { + parts: [ + { + text: 'Mock response from Google GenAI without tools!', + }, + ], + role: 'model', }, - }; + finishReason: 'stop', + index: 0, + }, + ], + usageMetadata: { + promptTokenCount: 8, + candidatesTokenCount: 12, + totalTokenCount: 20, }, + }); + }); - generateContentStream: async params => { - // Simulate processing time - await new Promise(resolve => setTimeout(resolve, 10)); + // Streaming endpoint for models.generateContentStream + app.post('/v1beta/models/:model\\:streamGenerateContent', (req, res) => { + const { tools } = req.body; - // Check if tools are provided to return function call response - if (params.config?.tools && params.config.tools.length> 0) { - return this._createMockStreamWithTools(); - } + // Set headers for streaming response + res.setHeader('Content-Type', 'application/json'); + res.setHeader('Transfer-Encoding', 'chunked'); - return this._createMockStream(); - }, + // Create a mock stream + const mockStream = createMockToolsStream({ tools }); + + // Send chunks + const sendChunk = async () => { + // Testing .next() works as expected + const { value, done } = await mockStream.next(); + if (done) { + res.end(); + return; + } + + res.write(`data: ${JSON.stringify(value)}\n\n`); + setTimeout(sendChunk, 10); // Small delay between chunks }; - } - // Helper method to create a mock stream with tool calls - async *_createMockStreamWithTools() { + sendChunk(); + }); + + return app.listen(PORT); +} + +// Helper function to create mock stream +async function* createMockToolsStream({ tools }) { + // Check if tools are provided to return function call response + if (tools && tools.length> 0) { // First chunk: Text response yield { candidates: [ @@ -119,7 +140,7 @@ class MockGoogleGenAI { }; // Second chunk: Function call - const functionCallChunk = { + yield { candidates: [ { content: { @@ -142,25 +163,6 @@ class MockGoogleGenAI { ], }; - // Add functionCalls getter to streaming chunk - Object.defineProperty(functionCallChunk, 'functionCalls', { - get: function () { - return [ - { - id: 'call_light_stream_1', - name: 'controlLight', - args: { - brightness: 0.5, - colorTemperature: 'cool', - }, - }, - ]; - }, - enumerable: false, - }); - - yield functionCallChunk; - // Final chunk: End with finish reason and usage metadata yield { candidates: [ @@ -179,53 +181,55 @@ class MockGoogleGenAI { totalTokenCount: 22, }, }; + return; } - // Helper method to create a regular mock stream without tools - async *_createMockStream() { - // First chunk: Start of response - yield { - candidates: [ - { - content: { - parts: [{ text: 'Mock streaming response' }], - role: 'model', - }, - index: 0, + // Regular stream without tools + yield { + candidates: [ + { + content: { + parts: [{ text: 'Mock streaming response' }], + role: 'model', }, - ], - responseId: 'mock-response-id', - modelVersion: 'gemini-1.5-flash', - }; + index: 0, + }, + ], + responseId: 'mock-response-tools-id', + modelVersion: 'gemini-2.0-flash-001', + }; - // Final chunk - yield { - candidates: [ - { - content: { - parts: [{ text: ' from Google GenAI!' }], - role: 'model', - }, - finishReason: 'STOP', - index: 0, + // Final chunk + yield { + candidates: [ + { + content: { + parts: [{ text: ' from Google GenAI!' }], + role: 'model', }, - ], - usageMetadata: { - promptTokenCount: 10, - candidatesTokenCount: 12, - totalTokenCount: 22, + finishReason: 'STOP', + index: 0, }, - }; - } + ], + usageMetadata: { + promptTokenCount: 10, + candidatesTokenCount: 12, + totalTokenCount: 22, + }, + }; } async function run() { - const genAI = new MockGoogleGenAI({ apiKey: 'test-api-key' }); - const instrumentedClient = instrumentGoogleGenAIClient(genAI); + const server = startMockGoogleGenAIServer(); + + await Sentry.startSpan({ op: 'function', name: 'main' }, async () => { + const client = new GoogleGenAI({ + apiKey: 'mock-api-key', + httpOptions: { baseUrl: `http://localhost:${PORT}` }, + }); - await Sentry.startSpan({ name: 'main', op: 'function' }, async () => { // Test 1: Non-streaming with tools - await instrumentedClient.models.generateContent({ + await client.models.generateContent({ model: 'gemini-2.0-flash-001', contents: 'Dim the lights so the room feels cozy and warm.', config: { @@ -254,7 +258,7 @@ async function run() { }); // Test 2: Streaming with tools - const stream = await instrumentedClient.models.generateContentStream({ + const stream = await client.models.generateContentStream({ model: 'gemini-2.0-flash-001', contents: 'Turn on the lights with medium brightness.', config: { @@ -288,11 +292,13 @@ async function run() { } // Test 3: Without tools for comparison - await instrumentedClient.models.generateContent({ - model: 'gemini-1.5-flash', + await client.models.generateContent({ + model: 'gemini-2.0-flash-001', contents: 'Tell me about the weather.', }); }); + + server.close(); } run(); diff --git a/dev-packages/node-integration-tests/suites/tracing/google-genai/scenario.mjs b/dev-packages/node-integration-tests/suites/tracing/google-genai/scenario.mjs index 99951af63adc..324d6c50249f 100644 --- a/dev-packages/node-integration-tests/suites/tracing/google-genai/scenario.mjs +++ b/dev-packages/node-integration-tests/suites/tracing/google-genai/scenario.mjs @@ -1,215 +1,58 @@ -import { instrumentGoogleGenAIClient } from '@sentry/core'; +import { GoogleGenAI } from '@google/genai'; import * as Sentry from '@sentry/node'; +import express from 'express'; -// Mock Google GenAI client -class MockGoogleGenAI { - constructor(apiKey, options = {}) { - this.apiKey = apiKey; - this.options = options; - } +const PORT = 3333; - get models() { - return { - generateContent: async (params) => { - // Simulate processing time - await new Promise(resolve => setTimeout(resolve, 10)); +function startMockGoogleGenAIServer() { + const app = express(); + app.use(express.json()); - if (params.model === 'error-model') { - const error = new Error('Model not found'); - error.status = 404; - throw error; - } + app.post('/v1beta/models/:model\\:generateContent', (req, res) => { + const model = req.params.model; - return { - candidates: [ - { - content: { - parts: [ - { - text: 'Mock response from Google GenAI!', - }, - ], - role: 'model', - }, - finishReason: 'STOP', - index: 0, - }, - ], - usageMetadata: { - promptTokenCount: 8, - candidatesTokenCount: 12, - totalTokenCount: 20, - }, - }; - }, - - generateContentStream: 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; - throw error; - } - - if (params.model === 'blocked-model') { - // Return a stream with blocked content in the first chunk - return this._createBlockedMockStream(); - } - - // Return an async generator that yields chunks - return this._createMockStream(); - }, - }; - } - - get chats() { - return { - create: options => { - // Return a chat instance with sendMessage method and model info - const self = this; - return { - model: options?.model || 'unknown', // Include model from create options - sendMessage: async () => { - // Simulate processing time - await new Promise(resolve => setTimeout(resolve, 10)); - - return { - candidates: [ - { - content: { - parts: [ - { - text: 'Mock response from Google GenAI!', - }, - ], - role: 'model', - }, - finishReason: 'STOP', - index: 0, - }, - ], - usageMetadata: { - promptTokenCount: 10, - candidatesTokenCount: 15, - totalTokenCount: 25, - }, - }; - }, - - sendMessageStream: async () => { - // Simulate processing time - await new Promise(resolve => setTimeout(resolve, 10)); - - // Return an async generator that yields chunks - return self._createMockStream(); - }, - }; - }, - }; - } - - // Helper method to create a mock stream that yields clear GenerateContentResponse chunks - async *_createMockStream() { - // First chunk: Start of response with initial text - yield { - candidates: [ - { - content: { - parts: [{ text: 'Hello! ' }], - role: 'model', - }, - index: 0, - }, - ], - responseId: 'mock-response-id', - modelVersion: 'gemini-1.5-pro', - }; - - // Second chunk: More text content - yield { - candidates: [ - { - content: { - parts: [{ text: 'This is a streaming ' }], - role: 'model', - }, - index: 0, - }, - ], - }; - - // Third chunk: Final text content - yield { - candidates: [ - { - content: { - parts: [{ text: 'response from Google GenAI!' }], - role: 'model', - }, - index: 0, - }, - ], - }; + if (model === 'error-model') { + res.status(404).set('x-request-id', 'mock-request-123').end('Model not found'); + return; + } - // Final chunk: End with finish reason and usage metadata - yield { + res.send({ candidates: [ { content: { - parts: [{ text: '' }], // Empty text in final chunk + parts: [ + { + text: 'Mock response from Google GenAI!', + }, + ], role: 'model', }, - finishReason: 'STOP', + finishReason: 'stop', index: 0, }, ], usageMetadata: { - promptTokenCount: 10, + promptTokenCount: 8, candidatesTokenCount: 12, - totalTokenCount: 22, + totalTokenCount: 20, }, - }; - } - - // Helper method to create a mock stream with blocked content (promptFeedback in first chunk) - async *_createBlockedMockStream() { - // First chunk: Contains promptFeedback with blockReason (this should trigger error handling) - yield { - promptFeedback: { - blockReason: 'SAFETY', - blockReasonMessage: 'The prompt was blocked due to safety concerns', - }, - responseId: 'mock-blocked-response-id', - modelVersion: 'gemini-1.5-pro', - }; + }); + }); - // Note: In a real blocked scenario, there would typically be no more chunks - // But we'll add one more to test that processing stops after the error - yield { - candidates: [ - { - content: { - parts: [{ text: 'This should not be processed' }], - role: 'model', - }, - index: 0, - }, - ], - } - } + return app.listen(PORT); } -// Use the mock client instead of the real one -const GoogleGenAI = MockGoogleGenAI; - async function run() { + const server = startMockGoogleGenAIServer(); + await Sentry.startSpan({ op: 'function', name: 'main' }, async () => { - const mockClient = new GoogleGenAI('mock-api-key'); - const client = instrumentGoogleGenAIClient(mockClient); + const client = new GoogleGenAI({ + apiKey: 'mock-api-key', + httpOptions: { baseUrl: `http://localhost:${PORT}` }, + }); // Test 1: chats.create and sendMessage flow + // This should generate two spans: one for chats.create and one for sendMessage const chat = client.chats.create({ model: 'gemini-1.5-pro', config: { @@ -245,71 +88,7 @@ async function run() { ], }); - // Test 3: models.generateContentStream (streaming) - const streamResponse = await client.models.generateContentStream({ - model: 'gemini-1.5-flash', - config: { - temperature: 0.7, - topP: 0.9, - maxOutputTokens: 100, - }, - contents: [ - { - role: 'user', - parts: [{ text: 'Tell me about streaming' }], - }, - ], - }); - - // Consume the stream - for await (const _ of streamResponse) { - void _; - } - - // Test 4: chat.sendMessageStream (streaming) - const streamingChat = client.chats.create({ - model: 'gemini-1.5-pro', - config: { - temperature: 0.8, - topP: 0.9, - maxOutputTokens: 150, - }, - }); - - const chatStreamResponse = await streamingChat.sendMessageStream({ - message: 'Tell me a streaming joke', - }); - - // Consume the chat stream - for await (const _ of chatStreamResponse) { - void _; - } - - // Test 5: Blocked content streaming (should trigger error handling) - try { - const blockedStreamResponse = await client.models.generateContentStream({ - model: 'blocked-model', - config: { - temperature: 0.7, - }, - contents: [ - { - role: 'user', - parts: [{ text: 'This content will be blocked' }], - }, - ], - }); - - // Consume the stream - should encounter promptFeedback error in first chunk - for await (const _ of blockedStreamResponse) { - void _; - } - } catch (error) { - // Expected: The stream should be processed, but the span should be marked with error status - // The error handling happens in the streaming instrumentation, not as a thrown error - } - - // Test 6: Error handling + // Test 3: Error handling try { await client.models.generateContent({ model: 'error-model', @@ -324,6 +103,8 @@ async function run() { // Expected error } }); + + server.close(); } run(); diff --git a/dev-packages/node-integration-tests/suites/tracing/google-genai/test.ts b/dev-packages/node-integration-tests/suites/tracing/google-genai/test.ts index 80d5be16db6f..9562f028340d 100644 --- a/dev-packages/node-integration-tests/suites/tracing/google-genai/test.ts +++ b/dev-packages/node-integration-tests/suites/tracing/google-genai/test.ts @@ -63,58 +63,7 @@ describe('Google GenAI integration', () => { origin: 'auto.ai.google_genai', status: 'ok', }), - // Fourth span - models.generateContentStream (streaming) - 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.response.streaming': true, - 'gen_ai.response.id': 'mock-response-id', - 'gen_ai.response.model': 'gemini-1.5-pro', - }), - description: 'models gemini-1.5-flash stream-response', - op: 'gen_ai.models', - origin: 'auto.ai.google_genai', - }), - // Fifth span - chat.sendMessageStream (streaming) - 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.response.streaming': true, - 'gen_ai.response.id': 'mock-response-id', - 'gen_ai.response.model': 'gemini-1.5-pro', - }), - description: 'chat gemini-1.5-pro stream-response', - op: 'gen_ai.chat', - origin: 'auto.ai.google_genai', - }), - // Sixth span - blocked content stream - 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': 'blocked-model', - 'gen_ai.request.temperature': 0.7, - 'gen_ai.response.streaming': true, - }), - description: 'models blocked-model stream-response', - op: 'gen_ai.models', - origin: 'auto.ai.google_genai', - status: 'unknown_error', - }), - // Seventh span - error handling + // Fourth span - error handling expect.objectContaining({ data: { 'gen_ai.operation.name': 'models', @@ -193,57 +142,7 @@ describe('Google GenAI integration', () => { origin: 'auto.ai.google_genai', status: 'ok', }), - // Fourth span - models.generateContentStream (streaming) 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.messages': expect.any(String), // Should include contents when recordInputs: true - 'gen_ai.response.streaming': true, - 'gen_ai.response.id': 'mock-response-id', - 'gen_ai.response.model': 'gemini-1.5-pro', - }), - description: 'models gemini-1.5-flash stream-response', - op: 'gen_ai.models', - origin: 'auto.ai.google_genai', - }), - // Fifth span - chat.sendMessageStream (streaming) 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.streaming': true, - 'gen_ai.response.id': 'mock-response-id', - 'gen_ai.response.model': 'gemini-1.5-pro', - }), - description: 'chat gemini-1.5-pro stream-response', - op: 'gen_ai.chat', - origin: 'auto.ai.google_genai', - }), - // Sixth span - blocked content stream 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': 'blocked-model', - 'gen_ai.request.messages': expect.any(String), // Should include contents when recordInputs: true - 'gen_ai.response.streaming': true, - }), - description: 'models blocked-model stream-response', - op: 'gen_ai.models', - origin: 'auto.ai.google_genai', - status: 'unknown_error', - }), - // Seventh span - error handling with PII + // Fourth span - error handling with PII expect.objectContaining({ data: expect.objectContaining({ 'gen_ai.operation.name': 'models', @@ -272,15 +171,6 @@ describe('Google GenAI integration', () => { }), description: expect.not.stringContaining('stream-response'), // Non-streaming span }), - // Check that custom options are respected for streaming - expect.objectContaining({ - data: expect.objectContaining({ - 'gen_ai.response.streaming': true, - 'gen_ai.request.messages': expect.any(String), // Should include messages when recordInputs: true - 'gen_ai.response.text': expect.stringContaining('streaming'), // Should include response text when recordOutputs: true - }), - description: expect.stringContaining('stream-response'), - }), ]), }; @@ -369,14 +259,14 @@ describe('Google GenAI integration', () => { '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.model': 'gemini-2.0-flash-001', 'gen_ai.request.messages': expect.any(String), // Should include contents 'gen_ai.response.text': expect.any(String), // Should include response text 'gen_ai.usage.input_tokens': 8, 'gen_ai.usage.output_tokens': 12, 'gen_ai.usage.total_tokens': 20, }), - description: 'models gemini-1.5-flash', + description: 'models gemini-2.0-flash-001', op: 'gen_ai.models', origin: 'auto.ai.google_genai', status: 'ok', @@ -389,4 +279,211 @@ describe('Google GenAI integration', () => { await createRunner().ignore('event').expect({ transaction: EXPECTED_TRANSACTION_TOOLS }).start().completed(); }); }); + + const EXPECTED_TRANSACTION_STREAMING = { + transaction: 'main', + spans: expect.arrayContaining([ + // First span - models.generateContentStream (streaming) + 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.response.streaming': true, + 'gen_ai.response.id': 'mock-response-streaming-id', + 'gen_ai.response.model': 'gemini-1.5-pro', + 'gen_ai.response.finish_reasons': '["STOP"]', + 'gen_ai.usage.input_tokens': 10, + 'gen_ai.usage.output_tokens': 12, + 'gen_ai.usage.total_tokens': 22, + }), + description: 'models gemini-1.5-flash stream-response', + op: 'gen_ai.models', + origin: 'auto.ai.google_genai', + status: 'ok', + }), + // Second span - chat.create + 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, + }), + description: 'chat gemini-1.5-pro create', + op: 'gen_ai.chat', + origin: 'auto.ai.google_genai', + status: 'ok', + }), + // Third span - chat.sendMessageStream (streaming) + 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.response.streaming': true, + 'gen_ai.response.id': 'mock-response-streaming-id', + 'gen_ai.response.model': 'gemini-1.5-pro', + }), + description: 'chat gemini-1.5-pro stream-response', + op: 'gen_ai.chat', + origin: 'auto.ai.google_genai', + status: 'ok', + }), + // Fourth span - blocked content streaming + expect.objectContaining({ + data: expect.objectContaining({ + 'gen_ai.operation.name': 'models', + 'sentry.op': 'gen_ai.models', + 'sentry.origin': 'auto.ai.google_genai', + }), + description: 'models blocked-model stream-response', + op: 'gen_ai.models', + origin: 'auto.ai.google_genai', + status: 'unknown_error', + }), + // Fifth span - error handling for streaming + expect.objectContaining({ + data: expect.objectContaining({ + 'gen_ai.operation.name': 'models', + 'sentry.op': 'gen_ai.models', + 'sentry.origin': 'auto.ai.google_genai', + }), + description: 'models error-model stream-response', + op: 'gen_ai.models', + origin: 'auto.ai.google_genai', + status: 'internal_error', + }), + ]), + }; + + const EXPECTED_TRANSACTION_STREAMING_PII_TRUE = { + transaction: 'main', + spans: expect.arrayContaining([ + // First span - models.generateContentStream (streaming) 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.streaming': true, + 'gen_ai.response.id': 'mock-response-streaming-id', + 'gen_ai.response.model': 'gemini-1.5-pro', + 'gen_ai.response.finish_reasons': '["STOP"]', + 'gen_ai.usage.input_tokens': 10, + 'gen_ai.usage.output_tokens': 12, + 'gen_ai.usage.total_tokens': 22, + }), + description: 'models gemini-1.5-flash stream-response', + op: 'gen_ai.models', + origin: 'auto.ai.google_genai', + status: 'ok', + }), + // Second span - chat.create + 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, + }), + description: 'chat gemini-1.5-pro create', + op: 'gen_ai.chat', + origin: 'auto.ai.google_genai', + status: 'ok', + }), + // Third span - chat.sendMessageStream (streaming) 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.streaming': true, + 'gen_ai.response.id': 'mock-response-streaming-id', + 'gen_ai.response.model': 'gemini-1.5-pro', + 'gen_ai.response.finish_reasons': '["STOP"]', + 'gen_ai.usage.input_tokens': 10, + 'gen_ai.usage.output_tokens': 12, + 'gen_ai.usage.total_tokens': 22, + }), + description: 'chat gemini-1.5-pro stream-response', + op: 'gen_ai.chat', + origin: 'auto.ai.google_genai', + status: 'ok', + }), + // Fourth span - blocked content stream 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': 'blocked-model', + 'gen_ai.request.temperature': 0.7, + 'gen_ai.request.messages': expect.any(String), // Should include contents when recordInputs: true + 'gen_ai.response.streaming': true, + }), + description: 'models blocked-model stream-response', + op: 'gen_ai.models', + origin: 'auto.ai.google_genai', + status: 'unknown_error', + }), + // Fifth span - error handling for streaming 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.temperature': 0.7, + 'gen_ai.request.messages': expect.any(String), // Should include contents when recordInputs: true + }), + description: 'models error-model stream-response', + op: 'gen_ai.models', + origin: 'auto.ai.google_genai', + status: 'internal_error', + }), + ]), + }; + + createEsmAndCjsTests(__dirname, 'scenario-streaming.mjs', 'instrument.mjs', (createRunner, test) => { + test('creates google genai streaming spans with sendDefaultPii: false', async () => { + await createRunner().ignore('event').expect({ transaction: EXPECTED_TRANSACTION_STREAMING }).start().completed(); + }); + }); + + createEsmAndCjsTests(__dirname, 'scenario-streaming.mjs', 'instrument-with-pii.mjs', (createRunner, test) => { + test('creates google genai streaming spans with sendDefaultPii: true', async () => { + await createRunner() + .ignore('event') + .expect({ transaction: EXPECTED_TRANSACTION_STREAMING_PII_TRUE }) + .start() + .completed(); + }); + }); }); diff --git a/packages/core/src/utils/google-genai/index.ts b/packages/core/src/utils/google-genai/index.ts index e7a6e58f1260..30bc139caacb 100644 --- a/packages/core/src/utils/google-genai/index.ts +++ b/packages/core/src/utils/google-genai/index.ts @@ -1,7 +1,8 @@ import { getClient } from '../../currentScopes'; import { captureException } from '../../exports'; import { SEMANTIC_ATTRIBUTE_SENTRY_ORIGIN } from '../../semanticAttributes'; -import { startSpan } from '../../tracing/trace'; +import { SPAN_STATUS_ERROR } from '../../tracing'; +import { startSpan, startSpanManual } from '../../tracing/trace'; import type { Span, SpanAttributeValue } from '../../types-hoist/span'; import { GEN_AI_OPERATION_NAME_ATTRIBUTE, @@ -24,6 +25,7 @@ import { import { buildMethodPath, getFinalOperationName, getSpanOperation } from '../ai/utils'; import { handleCallbackErrors } from '../handleCallbackErrors'; import { CHAT_PATH, CHATS_CREATE_METHOD, GOOGLE_GENAI_SYSTEM_NAME } from './constants'; +import { instrumentStream } from './streaming'; import type { Candidate, ContentPart, @@ -31,7 +33,7 @@ import type { GoogleGenAIOptions, GoogleGenAIResponse, } from './types'; -import { shouldInstrument } from './utils'; +import { isStreamingMethod, shouldInstrument } from './utils'; /** * Extract model from parameters or chat context object @@ -93,8 +95,8 @@ function extractConfigAttributes(config: Record): Record, context?: unknown, ): Record { const attributes: Record = { @@ -103,9 +105,7 @@ function extractRequestAttributes( [SEMANTIC_ATTRIBUTE_SENTRY_ORIGIN]: 'auto.ai.google_genai', }; - if (args.length> 0 && typeof args[0] === 'object' && args[0] !== null) { - const params = args[0] as Record; - + if (params) { attributes[GEN_AI_REQUEST_MODEL_ATTRIBUTE] = extractModel(params, context); // Extract generation config parameters @@ -223,10 +223,42 @@ function instrumentMethod( const isSyncCreate = methodPath === CHATS_CREATE_METHOD; const run = (...args: T): R | Promise => { - const requestAttributes = extractRequestAttributes(args, methodPath, context); + const params = args[0] as Record | undefined; + const requestAttributes = extractRequestAttributes(methodPath, params, context); const model = requestAttributes[GEN_AI_REQUEST_MODEL_ATTRIBUTE] ?? 'unknown'; const operationName = getFinalOperationName(methodPath); + // Check if this is a streaming method + if (isStreamingMethod(methodPath)) { + // Use startSpanManual for streaming methods to control span lifecycle + return startSpanManual( + { + name: `${operationName} ${model} stream-response`, + op: getSpanOperation(methodPath), + attributes: requestAttributes, + }, + async (span: Span) => { + try { + if (options.recordInputs && params) { + addPrivateRequestAttributes(span, params); + } + const stream = await originalMethod.apply(context, args); + return instrumentStream(stream, span, Boolean(options.recordOutputs)) as R; + } catch (error) { + span.setStatus({ code: SPAN_STATUS_ERROR, message: 'internal_error' }); + captureException(error, { + mechanism: { + handled: false, + type: 'auto.ai.google_genai', + data: { function: methodPath }, + }, + }); + span.end(); + throw error; + } + }, + ); + } // Single span for both sync and async operations return startSpan( { @@ -235,8 +267,8 @@ function instrumentMethod( attributes: requestAttributes, }, (span: Span) => { - if (options.recordInputs && args[0] && typeof args[0] === 'object') { - addPrivateRequestAttributes(span, args[0] as Record); + if (options.recordInputs && params) { + addPrivateRequestAttributes(span, params); } return handleCallbackErrors( diff --git a/packages/core/src/utils/google-genai/streaming.ts b/packages/core/src/utils/google-genai/streaming.ts index a5c9e464555c..0ea316bf0210 100644 --- a/packages/core/src/utils/google-genai/streaming.ts +++ b/packages/core/src/utils/google-genai/streaming.ts @@ -164,6 +164,7 @@ function processChunk(chunk: GoogleGenAIResponse, state: StreamingState, recordO } const isError = isErrorChunk(chunk, span); + // No further metadata or content will be sent to process if (isError) return; handleResponseMetadata(chunk, state); @@ -197,7 +198,7 @@ export async function* instrumentStream( yield chunk; } } finally { - // Set common response attributes if available + // Set common response attributes if available once the stream is finished if (state.responseId) { span.setAttributes({ [GEN_AI_RESPONSE_ID_ATTRIBUTE]: state.responseId, From 39ca9c3304a424d006ea995492169ad2f3592072 Mon Sep 17 00:00:00 2001 From: RulaKhaled Date: 2025年9月19日 15:44:37 +0200 Subject: [PATCH 14/22] update lint --- .../node-integration-tests/suites/tracing/google-genai/test.ts | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/dev-packages/node-integration-tests/suites/tracing/google-genai/test.ts b/dev-packages/node-integration-tests/suites/tracing/google-genai/test.ts index 3327e796de92..92d669c7e10f 100644 --- a/dev-packages/node-integration-tests/suites/tracing/google-genai/test.ts +++ b/dev-packages/node-integration-tests/suites/tracing/google-genai/test.ts @@ -203,7 +203,7 @@ describe('Google GenAI integration', () => { .completed(); }); }); - + const EXPECTED_TRANSACTION_TOOLS = { transaction: 'main', spans: expect.arrayContaining([ From c6c207125c3ebd54d916809d355933abaff0d22b Mon Sep 17 00:00:00 2001 From: RulaKhaled Date: 2025年9月19日 15:47:38 +0200 Subject: [PATCH 15/22] update lint --- packages/core/src/utils/google-genai/constants.ts | 1 + 1 file changed, 1 insertion(+) diff --git a/packages/core/src/utils/google-genai/constants.ts b/packages/core/src/utils/google-genai/constants.ts index 786aa4be9746..b06e46e18755 100644 --- a/packages/core/src/utils/google-genai/constants.ts +++ b/packages/core/src/utils/google-genai/constants.ts @@ -4,6 +4,7 @@ export const GOOGLE_GENAI_INTEGRATION_NAME = 'Google_GenAI'; // https://ai.google.dev/api/rest/v1/chats/sendMessage // https://googleapis.github.io/js-genai/release_docs/classes/models.Models.html#generatecontentstream // https://googleapis.github.io/js-genai/release_docs/classes/chats.Chat.html#sendmessagestream +export const GOOGLE_GENAI_INSTRUMENTED_METHODS = [ 'models.generateContent', 'models.generateContentStream', 'chats.create', From 1baed6eb064d571a7f743c493c8758c65bee7b16 Mon Sep 17 00:00:00 2001 From: RulaKhaled Date: 2025年9月19日 16:06:16 +0200 Subject: [PATCH 16/22] quick refactor --- .../suites/tracing/anthropic/scenario.mjs | 2 +- .../google-genai/scenario-streaming.mjs | 28 +-- .../tracing/google-genai/scenario-tools.mjs | 3 +- .../suites/tracing/google-genai/scenario.mjs | 2 +- .../core/src/utils/google-genai/streaming.ts | 199 +++++------------- 5 files changed, 57 insertions(+), 177 deletions(-) diff --git a/dev-packages/node-integration-tests/suites/tracing/anthropic/scenario.mjs b/dev-packages/node-integration-tests/suites/tracing/anthropic/scenario.mjs index d0acf5c42b79..b569174f41d0 100644 --- a/dev-packages/node-integration-tests/suites/tracing/anthropic/scenario.mjs +++ b/dev-packages/node-integration-tests/suites/tracing/anthropic/scenario.mjs @@ -2,7 +2,7 @@ import Anthropic from '@anthropic-ai/sdk'; import * as Sentry from '@sentry/node'; import express from 'express'; -const PORT = 3333; +const PORT = 3335; function startMockAnthropicServer() { const app = express(); diff --git a/dev-packages/node-integration-tests/suites/tracing/google-genai/scenario-streaming.mjs b/dev-packages/node-integration-tests/suites/tracing/google-genai/scenario-streaming.mjs index d392e5268966..65ce206d4242 100644 --- a/dev-packages/node-integration-tests/suites/tracing/google-genai/scenario-streaming.mjs +++ b/dev-packages/node-integration-tests/suites/tracing/google-genai/scenario-streaming.mjs @@ -8,7 +8,7 @@ function startMockGoogleGenAIServer() { const app = express(); app.use(express.json()); - // Streaming endpoint for models.generateContentStream + // Streaming endpoint for models.generateContentStream and chat.sendMessageStream app.post('/v1beta/models/:model\\:streamGenerateContent', (req, res) => { const model = req.params.model; @@ -39,32 +39,6 @@ function startMockGoogleGenAIServer() { sendChunk(); }); - // Streaming endpoint for chat.sendMessageStream - app.post('/v1beta/models/:model\\:streamGenerateContent', (req, res) => { - const model = req.params.model; - - // Set headers for streaming response - res.setHeader('Content-Type', 'application/json'); - res.setHeader('Transfer-Encoding', 'chunked'); - - // Create a mock stream - const mockStream = createMockStream(model); - - // Send chunks - const sendChunk = async () => { - const { value, done } = await mockStream.next(); - if (done) { - res.end(); - return; - } - - res.write(`data: ${JSON.stringify(value)}\n\n`); - setTimeout(sendChunk, 10); // Small delay between chunks - }; - - sendChunk(); - }); - return app.listen(PORT); } diff --git a/dev-packages/node-integration-tests/suites/tracing/google-genai/scenario-tools.mjs b/dev-packages/node-integration-tests/suites/tracing/google-genai/scenario-tools.mjs index d090518202f9..857985258ecf 100644 --- a/dev-packages/node-integration-tests/suites/tracing/google-genai/scenario-tools.mjs +++ b/dev-packages/node-integration-tests/suites/tracing/google-genai/scenario-tools.mjs @@ -2,7 +2,7 @@ import { GoogleGenAI } from '@google/genai'; import * as Sentry from '@sentry/node'; import express from 'express'; -const PORT = 3335; // Different port to avoid conflicts +const PORT = 3337; function startMockGoogleGenAIServer() { const app = express(); @@ -91,6 +91,7 @@ function startMockGoogleGenAIServer() { }); // Streaming endpoint for models.generateContentStream + // And chat.sendMessageStream app.post('/v1beta/models/:model\\:streamGenerateContent', (req, res) => { const { tools } = req.body; diff --git a/dev-packages/node-integration-tests/suites/tracing/google-genai/scenario.mjs b/dev-packages/node-integration-tests/suites/tracing/google-genai/scenario.mjs index 324d6c50249f..5ea349f4e444 100644 --- a/dev-packages/node-integration-tests/suites/tracing/google-genai/scenario.mjs +++ b/dev-packages/node-integration-tests/suites/tracing/google-genai/scenario.mjs @@ -2,7 +2,7 @@ import { GoogleGenAI } from '@google/genai'; import * as Sentry from '@sentry/node'; import express from 'express'; -const PORT = 3333; +const PORT = 3336; function startMockGoogleGenAIServer() { const app = express(); diff --git a/packages/core/src/utils/google-genai/streaming.ts b/packages/core/src/utils/google-genai/streaming.ts index 0ea316bf0210..b9462e8c90dd 100644 --- a/packages/core/src/utils/google-genai/streaming.ts +++ b/packages/core/src/utils/google-genai/streaming.ts @@ -1,6 +1,6 @@ import { captureException } from '../../exports'; import { SPAN_STATUS_ERROR } from '../../tracing'; -import type { Span } from '../../types-hoist/span'; +import type { Span, SpanAttributeValue } from '../../types-hoist/span'; import { GEN_AI_RESPONSE_FINISH_REASONS_ATTRIBUTE, GEN_AI_RESPONSE_ID_ATTRIBUTE, @@ -23,15 +23,15 @@ interface StreamingState { /** Reasons for finishing the response, as reported by the API. */ finishReasons: string[]; /** The response ID. */ - responseId: string; + responseId?: string; /** The model name. */ - responseModel: string; + responseModel?: string; /** Number of prompt/input tokens used. */ - promptTokens: number | undefined; + promptTokens?: number; /** Number of completion/output tokens used. */ - completionTokens: number | undefined; + completionTokens?: number; /** Number of total tokens used. */ - totalTokens: number | undefined; + totalTokens?: number; /** Accumulated tool calls (finalized) */ toolCalls: Array>; } @@ -43,25 +43,14 @@ interface StreamingState { * @returns Whether an error occurred */ function isErrorChunk(chunk: GoogleGenAIResponse, span: Span): boolean { - // Check for errors in the response - if (chunk && typeof chunk === 'object') { - // Google GenAI may include error information in promptFeedback - if (chunk.promptFeedback && typeof chunk.promptFeedback === 'object') { - const feedback = chunk.promptFeedback; - if (feedback.blockReason && typeof feedback.blockReason === 'string') { - // Use blockReasonMessage if available (more descriptive), otherwise use blockReason (enum) - const errorMessage = feedback.blockReasonMessage ? feedback.blockReasonMessage : feedback.blockReason; - - span.setStatus({ code: SPAN_STATUS_ERROR, message: `Content blocked: ${errorMessage}` }); - captureException(`Content blocked: ${errorMessage}`, { - mechanism: { - handled: false, - type: 'auto.ai.google_genai', - }, - }); - return true; - } - } + const feedback = chunk?.promptFeedback; + if (feedback?.blockReason) { + const message = feedback.blockReasonMessage ?? feedback.blockReason; + span.setStatus({ code: SPAN_STATUS_ERROR, message: `Content blocked: ${message}` }); + captureException(`Content blocked: ${message}`, { + mechanism: { handled: false, type: 'auto.ai.google_genai' }, + }); + return true; } return false; } @@ -72,30 +61,14 @@ function isErrorChunk(chunk: GoogleGenAIResponse, span: Span): boolean { * @param state - The state of the streaming process */ function handleResponseMetadata(chunk: GoogleGenAIResponse, state: StreamingState): void { - if (!chunk || typeof chunk !== 'object') return; - - // Extract response ID - if (chunk.responseId && typeof chunk.responseId === 'string') { - state.responseId = chunk.responseId; - } - - // Extract model version - if (chunk.modelVersion && typeof chunk.modelVersion === 'string') { - state.responseModel = chunk.modelVersion; - } - - // Extract usage metadata - if (chunk.usageMetadata && typeof chunk.usageMetadata === 'object') { - const usage = chunk.usageMetadata; - if (typeof usage.promptTokenCount === 'number') { - state.promptTokens = usage.promptTokenCount; - } - if (typeof usage.candidatesTokenCount === 'number') { - state.completionTokens = usage.candidatesTokenCount; - } - if (typeof usage.totalTokenCount === 'number') { - state.totalTokens = usage.totalTokenCount; - } + if (typeof chunk.responseId === 'string') state.responseId = chunk.responseId; + if (typeof chunk.modelVersion === 'string') state.responseModel = chunk.modelVersion; + + const usage = chunk.usageMetadata; + if (usage) { + if (typeof usage.promptTokenCount === 'number') state.promptTokens = usage.promptTokenCount; + if (typeof usage.candidatesTokenCount === 'number') state.completionTokens = usage.candidatesTokenCount; + if (typeof usage.totalTokenCount === 'number') state.totalTokens = usage.totalTokenCount; } } @@ -106,46 +79,24 @@ function handleResponseMetadata(chunk: GoogleGenAIResponse, state: StreamingStat * @param recordOutputs - Whether to record outputs */ function handleCandidateContent(chunk: GoogleGenAIResponse, state: StreamingState, recordOutputs: boolean): void { - // Check for direct functionCalls getter first - if (chunk.functionCalls && Array.isArray(chunk.functionCalls)) { - const functionCalls = chunk.functionCalls; - for (const functionCall of functionCalls) { - state.toolCalls.push(functionCall); - } + if (Array.isArray(chunk.functionCalls)) { + state.toolCalls.push(...chunk.functionCalls); } - if (!chunk?.candidates) return; - - for (const candidate of chunk.candidates) { - if (!candidate || typeof candidate !== 'object') continue; - - // Extract finish reason - if (candidate.finishReason) { - if (!state.finishReasons.includes(candidate.finishReason)) { - state.finishReasons.push(candidate.finishReason); - } + for (const candidate of chunk.candidates ?? []) { + if (candidate?.finishReason && !state.finishReasons.includes(candidate.finishReason)) { + state.finishReasons.push(candidate.finishReason); } - // Extract content - if (candidate.content) { - const content = candidate.content; - if (content.parts) { - for (const part of content.parts) { - // Extract text content for output recording - if (recordOutputs && part.text) { - state.responseTexts.push(part.text); - } - - // Extract function calls (fallback method) - if (part.functionCall) { - state.toolCalls.push({ - type: 'function', - id: part.functionCall?.id, - name: part.functionCall?.name, - arguments: part.functionCall?.args, - }); - } - } + for (const part of candidate?.content?.parts ?? []) { + if (recordOutputs && part.text) state.responseTexts.push(part.text); + if (part.functionCall) { + state.toolCalls.push({ + type: 'function', + id: part.functionCall.id, + name: part.functionCall.name, + arguments: part.functionCall.args, + }); } } } @@ -159,14 +110,7 @@ function handleCandidateContent(chunk: GoogleGenAIResponse, state: StreamingStat * @param span - The span to update */ function processChunk(chunk: GoogleGenAIResponse, state: StreamingState, recordOutputs: boolean, span: Span): void { - if (!chunk || typeof chunk !== 'object') { - return; - } - - const isError = isErrorChunk(chunk, span); - // No further metadata or content will be sent to process - if (isError) return; - + if (!chunk || isErrorChunk(chunk, span)) return; handleResponseMetadata(chunk, state); handleCandidateContent(chunk, state, recordOutputs); } @@ -184,11 +128,6 @@ export async function* instrumentStream( const state: StreamingState = { responseTexts: [], finishReasons: [], - responseId: '', - responseModel: '', - promptTokens: undefined, - completionTokens: undefined, - totalTokens: undefined, toolCalls: [], }; @@ -198,61 +137,27 @@ export async function* instrumentStream( yield chunk; } } finally { - // Set common response attributes if available once the stream is finished - if (state.responseId) { - span.setAttributes({ - [GEN_AI_RESPONSE_ID_ATTRIBUTE]: state.responseId, - }); - } - if (state.responseModel) { - span.setAttributes({ - [GEN_AI_RESPONSE_MODEL_ATTRIBUTE]: state.responseModel, - }); - } - - // Set token usage attributes - if (state.promptTokens !== undefined) { - span.setAttributes({ - [GEN_AI_USAGE_INPUT_TOKENS_ATTRIBUTE]: state.promptTokens, - }); - } - if (state.completionTokens !== undefined) { - span.setAttributes({ - [GEN_AI_USAGE_OUTPUT_TOKENS_ATTRIBUTE]: state.completionTokens, - }); - } - if (state.totalTokens !== undefined) { - span.setAttributes({ - [GEN_AI_USAGE_TOTAL_TOKENS_ATTRIBUTE]: state.totalTokens, - }); - } - - // Mark as streaming response - span.setAttributes({ + const attrs: Record = { [GEN_AI_RESPONSE_STREAMING_ATTRIBUTE]: true, - }); + }; - // Set finish reasons if available - if (state.finishReasons.length> 0) { - span.setAttributes({ - [GEN_AI_RESPONSE_FINISH_REASONS_ATTRIBUTE]: JSON.stringify(state.finishReasons), - }); - } + if (state.responseId) attrs[GEN_AI_RESPONSE_ID_ATTRIBUTE] = state.responseId; + if (state.responseModel) attrs[GEN_AI_RESPONSE_MODEL_ATTRIBUTE] = state.responseModel; + if (state.promptTokens !== undefined) attrs[GEN_AI_USAGE_INPUT_TOKENS_ATTRIBUTE] = state.promptTokens; + if (state.completionTokens !== undefined) attrs[GEN_AI_USAGE_OUTPUT_TOKENS_ATTRIBUTE] = state.completionTokens; + if (state.totalTokens !== undefined) attrs[GEN_AI_USAGE_TOTAL_TOKENS_ATTRIBUTE] = state.totalTokens; - // Set response text if recording outputs - if (recordOutputs && state.responseTexts.length> 0) { - span.setAttributes({ - [GEN_AI_RESPONSE_TEXT_ATTRIBUTE]: state.responseTexts.join(''), - }); + if (state.finishReasons.length) { + attrs[GEN_AI_RESPONSE_FINISH_REASONS_ATTRIBUTE] = JSON.stringify(state.finishReasons); } - - // Set tool calls if any were captured - if (recordOutputs && state.toolCalls.length> 0) { - span.setAttributes({ - [GEN_AI_RESPONSE_TOOL_CALLS_ATTRIBUTE]: JSON.stringify(state.toolCalls), - }); + if (recordOutputs && state.responseTexts.length) { + attrs[GEN_AI_RESPONSE_TEXT_ATTRIBUTE] = state.responseTexts.join(''); + } + if (recordOutputs && state.toolCalls.length) { + attrs[GEN_AI_RESPONSE_TOOL_CALLS_ATTRIBUTE] = JSON.stringify(state.toolCalls); } + span.setAttributes(attrs); span.end(); } } From cace9b7a9dcb95bc4035d1f881463ac51be8eac2 Mon Sep 17 00:00:00 2001 From: RulaKhaled Date: 2025年9月22日 14:14:36 +0200 Subject: [PATCH 17/22] fix port issues --- .../suites/tracing/anthropic/scenario.mjs | 2 +- .../tracing/google-genai/scenario-streaming.mjs | 11 +++++++---- .../suites/tracing/google-genai/scenario-tools.mjs | 11 +++++++---- .../suites/tracing/google-genai/scenario.mjs | 12 +++++++----- 4 files changed, 22 insertions(+), 14 deletions(-) diff --git a/dev-packages/node-integration-tests/suites/tracing/anthropic/scenario.mjs b/dev-packages/node-integration-tests/suites/tracing/anthropic/scenario.mjs index b569174f41d0..d0acf5c42b79 100644 --- a/dev-packages/node-integration-tests/suites/tracing/anthropic/scenario.mjs +++ b/dev-packages/node-integration-tests/suites/tracing/anthropic/scenario.mjs @@ -2,7 +2,7 @@ import Anthropic from '@anthropic-ai/sdk'; import * as Sentry from '@sentry/node'; import express from 'express'; -const PORT = 3335; +const PORT = 3333; function startMockAnthropicServer() { const app = express(); diff --git a/dev-packages/node-integration-tests/suites/tracing/google-genai/scenario-streaming.mjs b/dev-packages/node-integration-tests/suites/tracing/google-genai/scenario-streaming.mjs index 65ce206d4242..50ce251ae3e7 100644 --- a/dev-packages/node-integration-tests/suites/tracing/google-genai/scenario-streaming.mjs +++ b/dev-packages/node-integration-tests/suites/tracing/google-genai/scenario-streaming.mjs @@ -2,7 +2,6 @@ import { GoogleGenAI } from '@google/genai'; import * as Sentry from '@sentry/node'; import express from 'express'; -const PORT = 3334; function startMockGoogleGenAIServer() { const app = express(); @@ -39,7 +38,11 @@ function startMockGoogleGenAIServer() { sendChunk(); }); - return app.listen(PORT); + return new Promise(resolve => { + app.listen(server => { + resolve(server); + }); + }); } // Helper function to create mock stream @@ -133,12 +136,12 @@ async function* createMockStream(model) { } async function run() { - const server = startMockGoogleGenAIServer(); + const server = await startMockGoogleGenAIServer(); await Sentry.startSpan({ op: 'function', name: 'main' }, async () => { const client = new GoogleGenAI({ apiKey: 'mock-api-key', - httpOptions: { baseUrl: `http://localhost:${PORT}` }, + httpOptions: { baseUrl: `http://localhost:${server.address().port}` }, }); // Test 1: models.generateContentStream (streaming) diff --git a/dev-packages/node-integration-tests/suites/tracing/google-genai/scenario-tools.mjs b/dev-packages/node-integration-tests/suites/tracing/google-genai/scenario-tools.mjs index 857985258ecf..ca402bd7ed2c 100644 --- a/dev-packages/node-integration-tests/suites/tracing/google-genai/scenario-tools.mjs +++ b/dev-packages/node-integration-tests/suites/tracing/google-genai/scenario-tools.mjs @@ -2,7 +2,6 @@ import { GoogleGenAI } from '@google/genai'; import * as Sentry from '@sentry/node'; import express from 'express'; -const PORT = 3337; function startMockGoogleGenAIServer() { const app = express(); @@ -118,7 +117,11 @@ function startMockGoogleGenAIServer() { sendChunk(); }); - return app.listen(PORT); + return new Promise(resolve => { + app.listen(server => { + resolve(server); + }); + }); } // Helper function to create mock stream @@ -221,12 +224,12 @@ async function* createMockToolsStream({ tools }) { } async function run() { - const server = startMockGoogleGenAIServer(); + const server = await startMockGoogleGenAIServer(); await Sentry.startSpan({ op: 'function', name: 'main' }, async () => { const client = new GoogleGenAI({ apiKey: 'mock-api-key', - httpOptions: { baseUrl: `http://localhost:${PORT}` }, + httpOptions: { baseUrl: `http://localhost:${server.address().port}` }, }); // Test 1: Non-streaming with tools diff --git a/dev-packages/node-integration-tests/suites/tracing/google-genai/scenario.mjs b/dev-packages/node-integration-tests/suites/tracing/google-genai/scenario.mjs index 5ea349f4e444..c27bb12af49b 100644 --- a/dev-packages/node-integration-tests/suites/tracing/google-genai/scenario.mjs +++ b/dev-packages/node-integration-tests/suites/tracing/google-genai/scenario.mjs @@ -2,8 +2,6 @@ import { GoogleGenAI } from '@google/genai'; import * as Sentry from '@sentry/node'; import express from 'express'; -const PORT = 3336; - function startMockGoogleGenAIServer() { const app = express(); app.use(express.json()); @@ -39,16 +37,20 @@ function startMockGoogleGenAIServer() { }); }); - return app.listen(PORT); + return new Promise(resolve => { + app.listen(server => { + resolve(server); + }); + }); } async function run() { - const server = startMockGoogleGenAIServer(); + const server = await startMockGoogleGenAIServer(); await Sentry.startSpan({ op: 'function', name: 'main' }, async () => { const client = new GoogleGenAI({ apiKey: 'mock-api-key', - httpOptions: { baseUrl: `http://localhost:${PORT}` }, + httpOptions: { baseUrl: `http://localhost:${server.address().port}` }, }); // Test 1: chats.create and sendMessage flow From c63680f112dc10b591efcfb7055882beafd947d7 Mon Sep 17 00:00:00 2001 From: RulaKhaled Date: 2025年9月22日 14:46:47 +0200 Subject: [PATCH 18/22] lint --- .../suites/tracing/google-genai/scenario-streaming.mjs | 1 - .../suites/tracing/google-genai/scenario-tools.mjs | 1 - 2 files changed, 2 deletions(-) diff --git a/dev-packages/node-integration-tests/suites/tracing/google-genai/scenario-streaming.mjs b/dev-packages/node-integration-tests/suites/tracing/google-genai/scenario-streaming.mjs index 50ce251ae3e7..824df90a7283 100644 --- a/dev-packages/node-integration-tests/suites/tracing/google-genai/scenario-streaming.mjs +++ b/dev-packages/node-integration-tests/suites/tracing/google-genai/scenario-streaming.mjs @@ -2,7 +2,6 @@ import { GoogleGenAI } from '@google/genai'; import * as Sentry from '@sentry/node'; import express from 'express'; - function startMockGoogleGenAIServer() { const app = express(); app.use(express.json()); diff --git a/dev-packages/node-integration-tests/suites/tracing/google-genai/scenario-tools.mjs b/dev-packages/node-integration-tests/suites/tracing/google-genai/scenario-tools.mjs index ca402bd7ed2c..14187726cc3a 100644 --- a/dev-packages/node-integration-tests/suites/tracing/google-genai/scenario-tools.mjs +++ b/dev-packages/node-integration-tests/suites/tracing/google-genai/scenario-tools.mjs @@ -2,7 +2,6 @@ import { GoogleGenAI } from '@google/genai'; import * as Sentry from '@sentry/node'; import express from 'express'; - function startMockGoogleGenAIServer() { const app = express(); app.use(express.json()); From 6c7272f70edabd233fc8f3423f2bc32c66b05799 Mon Sep 17 00:00:00 2001 From: RulaKhaled Date: 2025年9月22日 14:54:44 +0200 Subject: [PATCH 19/22] fix port issue2 --- .../suites/tracing/google-genai/scenario-streaming.mjs | 2 +- .../suites/tracing/google-genai/scenario-tools.mjs | 2 +- .../suites/tracing/google-genai/scenario.mjs | 2 +- 3 files changed, 3 insertions(+), 3 deletions(-) diff --git a/dev-packages/node-integration-tests/suites/tracing/google-genai/scenario-streaming.mjs b/dev-packages/node-integration-tests/suites/tracing/google-genai/scenario-streaming.mjs index 824df90a7283..384ea0d88553 100644 --- a/dev-packages/node-integration-tests/suites/tracing/google-genai/scenario-streaming.mjs +++ b/dev-packages/node-integration-tests/suites/tracing/google-genai/scenario-streaming.mjs @@ -38,7 +38,7 @@ function startMockGoogleGenAIServer() { }); return new Promise(resolve => { - app.listen(server => { + const server = app.listen(0, () => { resolve(server); }); }); diff --git a/dev-packages/node-integration-tests/suites/tracing/google-genai/scenario-tools.mjs b/dev-packages/node-integration-tests/suites/tracing/google-genai/scenario-tools.mjs index 14187726cc3a..97984f2eb1ed 100644 --- a/dev-packages/node-integration-tests/suites/tracing/google-genai/scenario-tools.mjs +++ b/dev-packages/node-integration-tests/suites/tracing/google-genai/scenario-tools.mjs @@ -117,7 +117,7 @@ function startMockGoogleGenAIServer() { }); return new Promise(resolve => { - app.listen(server => { + const server = app.listen(0, () => { resolve(server); }); }); diff --git a/dev-packages/node-integration-tests/suites/tracing/google-genai/scenario.mjs b/dev-packages/node-integration-tests/suites/tracing/google-genai/scenario.mjs index c27bb12af49b..91c75886e410 100644 --- a/dev-packages/node-integration-tests/suites/tracing/google-genai/scenario.mjs +++ b/dev-packages/node-integration-tests/suites/tracing/google-genai/scenario.mjs @@ -38,7 +38,7 @@ function startMockGoogleGenAIServer() { }); return new Promise(resolve => { - app.listen(server => { + const server = app.listen(0, () => { resolve(server); }); }); From b3c8f6cc83bf84c9299a806e71b9d97382d44910 Mon Sep 17 00:00:00 2001 From: RulaKhaled Date: Wed, 1 Oct 2025 12:54:08 +0300 Subject: [PATCH 20/22] proxy stream method --- packages/core/src/utils/google-genai/index.ts | 124 +++++++++--------- 1 file changed, 62 insertions(+), 62 deletions(-) diff --git a/packages/core/src/utils/google-genai/index.ts b/packages/core/src/utils/google-genai/index.ts index a6fa1560fb10..20e6e2a53606 100644 --- a/packages/core/src/utils/google-genai/index.ts +++ b/packages/core/src/utils/google-genai/index.ts @@ -222,75 +222,75 @@ function instrumentMethod( ): (...args: T) => R | Promise { const isSyncCreate = methodPath === CHATS_CREATE_METHOD; - const run = (...args: T): R | Promise => { - const params = args[0] as Record | undefined; - const requestAttributes = extractRequestAttributes(methodPath, params, context); - const model = requestAttributes[GEN_AI_REQUEST_MODEL_ATTRIBUTE] ?? 'unknown'; - const operationName = getFinalOperationName(methodPath); - - // Check if this is a streaming method - if (isStreamingMethod(methodPath)) { - // Use startSpanManual for streaming methods to control span lifecycle - return startSpanManual( + return new Proxy(originalMethod, { + apply(target, _, args: T): R | Promise { + const params = args[0] as Record | undefined; + const requestAttributes = extractRequestAttributes(methodPath, params, context); + const model = requestAttributes[GEN_AI_REQUEST_MODEL_ATTRIBUTE] ?? 'unknown'; + const operationName = getFinalOperationName(methodPath); + + // Check if this is a streaming method + if (isStreamingMethod(methodPath)) { + // Use startSpanManual for streaming methods to control span lifecycle + return startSpanManual( + { + name: `${operationName} ${model} stream-response`, + op: getSpanOperation(methodPath), + attributes: requestAttributes, + }, + async (span: Span) => { + try { + if (options.recordInputs && params) { + addPrivateRequestAttributes(span, params); + } + const stream = await target.apply(context, args); + return instrumentStream(stream, span, Boolean(options.recordOutputs)) as R; + } catch (error) { + span.setStatus({ code: SPAN_STATUS_ERROR, message: 'internal_error' }); + captureException(error, { + mechanism: { + handled: false, + type: 'auto.ai.google_genai', + data: { function: methodPath }, + }, + }); + span.end(); + throw error; + } + }, + ); + } + // Single span for both sync and async operations + return startSpan( { - name: `${operationName} ${model} stream-response`, + name: isSyncCreate ? `${operationName} ${model} create` : `${operationName} ${model}`, op: getSpanOperation(methodPath), attributes: requestAttributes, }, - async (span: Span) => { - try { - if (options.recordInputs && params) { - addPrivateRequestAttributes(span, params); - } - const stream = await originalMethod.apply(context, args); - return instrumentStream(stream, span, Boolean(options.recordOutputs)) as R; - } catch (error) { - span.setStatus({ code: SPAN_STATUS_ERROR, message: 'internal_error' }); - captureException(error, { - mechanism: { - handled: false, - type: 'auto.ai.google_genai', - data: { function: methodPath }, - }, - }); - span.end(); - throw error; + (span: Span) => { + if (options.recordInputs && params) { + addPrivateRequestAttributes(span, params); } + + return handleCallbackErrors( + () => target.apply(context, args), + error => { + captureException(error, { + mechanism: { handled: false, type: 'auto.ai.google_genai', data: { function: methodPath } }, + }); + }, + () => {}, + result => { + // Only add response attributes for content-producing methods, not for chats.create + if (!isSyncCreate) { + addResponseAttributes(span, result, options.recordOutputs); + } + }, + ); }, ); - } - // Single span for both sync and async operations - return startSpan( - { - name: isSyncCreate ? `${operationName} ${model} create` : `${operationName} ${model}`, - op: getSpanOperation(methodPath), - attributes: requestAttributes, - }, - (span: Span) => { - if (options.recordInputs && params) { - addPrivateRequestAttributes(span, params); - } - - return handleCallbackErrors( - () => originalMethod.apply(context, args), - error => { - captureException(error, { - mechanism: { handled: false, type: 'auto.ai.google_genai', data: { function: methodPath } }, - }); - }, - () => {}, - result => { - // Only add response attributes for content-producing methods, not for chats.create - if (!isSyncCreate) { - addResponseAttributes(span, result, options.recordOutputs); - } - }, - ); - }, - ); - }; - - return run; + }, + }) as (...args: T) => R | Promise; } /** From ff563746f1caf0299b3ee2d6acd03cf98dc464b9 Mon Sep 17 00:00:00 2001 From: Rola Abuhasna Date: Wed, 1 Oct 2025 15:58:40 +0300 Subject: [PATCH 21/22] Update dev-packages/node-integration-tests/suites/tracing/google-genai/scenario-streaming.mjs Co-authored-by: Andrei <168741329+andreiborza@users.noreply.github.com> --- .../suites/tracing/google-genai/scenario-streaming.mjs | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/dev-packages/node-integration-tests/suites/tracing/google-genai/scenario-streaming.mjs b/dev-packages/node-integration-tests/suites/tracing/google-genai/scenario-streaming.mjs index 384ea0d88553..86618ae083e8 100644 --- a/dev-packages/node-integration-tests/suites/tracing/google-genai/scenario-streaming.mjs +++ b/dev-packages/node-integration-tests/suites/tracing/google-genai/scenario-streaming.mjs @@ -226,7 +226,7 @@ async function run() { for await (const _ of errorStreamResponse) { void _; } - } catch (error) { + } catch { // Expected error } }); From 3b9a668bcd3b60bcf76e410008d097f7ba373b78 Mon Sep 17 00:00:00 2001 From: Rola Abuhasna Date: Wed, 1 Oct 2025 15:58:52 +0300 Subject: [PATCH 22/22] Update dev-packages/node-integration-tests/suites/tracing/google-genai/scenario-streaming.mjs Co-authored-by: Andrei <168741329+andreiborza@users.noreply.github.com> --- .../suites/tracing/google-genai/scenario-streaming.mjs | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/dev-packages/node-integration-tests/suites/tracing/google-genai/scenario-streaming.mjs b/dev-packages/node-integration-tests/suites/tracing/google-genai/scenario-streaming.mjs index 86618ae083e8..be5c75638694 100644 --- a/dev-packages/node-integration-tests/suites/tracing/google-genai/scenario-streaming.mjs +++ b/dev-packages/node-integration-tests/suites/tracing/google-genai/scenario-streaming.mjs @@ -202,7 +202,7 @@ async function run() { for await (const _ of blockedStreamResponse) { void _; } - } catch (error) { + } catch { // Expected: The stream should be processed, but the span should be marked with error status // The error handling happens in the streaming instrumentation, not as a thrown error }

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