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Add instrumentation for Google Vertex AI (@google-cloud/vertexai)

Abierto
#24,489 1 comentario 0 reacciones 0 asignados Ver en GitHub

Nadie ha tomado este issue todavía.

Evaluación

Dificultad
4/5
Tiempo estimado
3-5 días
Aptitud para principiantes
58/100
Tipo de issue
Nueva funcionalidad
Claridad
Bastante claro
Estado de actividad
Activo
Stack tecnológico
google-cloud, nodejs, typescript
Área
backend-api-design, observability

Línea de trabajo

Start by reading the existing instrumentation under packages/server-utils/src/ai/google-genai/ and the integration wiring in src/integrations/google-genai.ts, then compare the Vertex AI SDK entry points named in the issue. Add the standalone integration under packages/server-utils/src/ai/google-vertexai/, wire it through src/integrations/google-vertexai.ts and getTracingIntegrations(), and cover generation, chat, streaming, model, token, and finish-reason attributes.

Escrito por el modelo de indexación a partir del texto del issue.

Descripción

Feature javascript Node.js

Add native gen-AI instrumentation for the standalone Google Vertex AI SDK, @google-cloud/vertexai (repo).

Coverage status / why this is a partial gap

Vertex is already reachable two ways today, so this is specifically about the standalone SDK:

  • @google/genai (which we already instrument) can target the Vertex backend via vertexai: true — already covered.
  • @ai-sdk/google-vertex (Vercel AI SDK provider, ~13.6M/mo) — covered by proxy through our vercel-ai integration.
  • @google-cloud/vertexai standalone SDK — not covered. This issue tracks that path.

Relevance (npm)

  • @google-cloud/vertexai: ~4.0M downloads/month (~33.7M last year). Slightly above its trailing-12-month run-rate, though Google is steering users toward the unified @google/genai SDK, so weigh this against the fact that the modern path is already instrumented.

Rough scope

  • Add instrumentation logic under packages/server-utils/src/ai/google-vertexai/ and wire it up via src/integrations/google-vertexai.ts, registered in getTracingIntegrations() (per the AI-integration architecture; runtime packages re-export from @sentry/server-utils).
  • Instrument VertexAI -> getGenerativeModel().generateContent() / generateContentStream() (and chat sessions), plus streaming.
  • Emit gen_ai.* spans following the span attribute conventions (gen_ai.provider.name = google_vertex, request/response model, token usage, finish reasons). Much of the response/attribute shaping likely overlaps with the existing google-genai instrumentation and can be shared.
  • Not OpenAI wire-compatible, so it needs its own instrumentation (can't reuse the openai-compatible shim).
Lenguaje dominante
TypeScript
Estrellas
8.7k
Forks
1.9k
Merge medio
1 d 16 h
PR fusionados (30 d)
552

Guía de contribución

Abrir la guía de contribución

Primeros pasos

  1. Lee el issue completo y luego la guía de contribución del proyecto.
  2. Comenta en el issue que vas a ocuparte — evita que dos personas hagan lo mismo.
  3. Haz un fork del repositorio y trabaja en una rama.
  4. Abre un pull request que haga referencia al número del issue.

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