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[bot] google-cloud-ai_platform gem (Vertex AI) not instrumented (13K weekly downloads)

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#184 0 comentarios 0 reacciones 0 asignados Ver en GitHub

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Evaluación

Dificultad
5/5
Tiempo estimado
Más de una semana
Aptitud para principiantes
42/100
Tipo de issue
Nueva funcionalidad
Claridad
Bastante claro
Estado de actividad
Tranquilo
Stack tecnológico
google-cloud, ruby
Área
ai, cloud, observability-sre

Línea de trabajo

Comienza con lib/braintrust/contrib.rb y los directorios de proveedores existentes en lib/braintrust/contrib/ para entender cómo se registran y estructuran las integraciones. Añade la integración de Google Vertex AI para los puntos de entrada generativos, de embedding y de prediction indicados, con los datos de span y las métricas de uso especificados, y regístrala en el SDK.

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

Descripción

Summary

The google-cloud-ai_platform gem is the official Google Ruby SDK for Vertex AI, published by Google in the googleapis/google-cloud-ruby monorepo. With 875K+ downloads and a release on June 11, 2026 (v2.4.0), it is the authoritative Ruby path for accessing Gemini models on Vertex AI and is not instrumented by this SDK.

The SDK instruments standalone provider clients for OpenAI, Anthropic, and (community) Gemini via gemini-ai, but has no instrumentation for the official Google Vertex AI generative execution surface.

What is missing

No instrumentation exists for any google-cloud-ai_platform generative execution surface. Key APIs that should be instrumented (via Google::Cloud::AIPlatform::V1::PredictionService::Client):

Generative Content (Gemini on Vertex AI)
  • generate_content(...) — Non-streaming generative content generation for Gemini models; accepts messages, system instruction, tools (function declarations), generation config (temperature, max_output_tokens, top_p, top_k, stop_sequences), safety settings, and response schema for structured output.
  • stream_generate_content(...) — Server-side streaming variant; yields GenerateContentResponse chunks with token usage in the final chunk.
Embeddings
  • embed_content(...) — Generates text embeddings via Gemini embedding models on Vertex AI.
General Prediction (non-Gemini Vertex models)
  • predict(...) — Online prediction for custom models and PaLM-family models.
  • raw_predict(...) / direct_predict(...) — Raw HTTP/gRPC prediction for arbitrary Vertex endpoints.
  • streaming_predict(...) / server_streaming_predict(...) — Streaming prediction variants.
Expected instrumentation

generate_content / stream_generate_content spans should capture:

  • Input: contents (messages array), system_instruction, tools (function declarations), tool_config
  • Metadata: model endpoint/model ID, generation_config (temperature, max_output_tokens, top_p, top_k, stop_sequences, response_mime_type, response_schema), safety settings, location/project
  • Metrics: usage_metadata (prompt_token_count, candidates_token_count, total_token_count) from response
  • Output: candidates content, finish_reason

Braintrust docs status

not_found — The SDK integrations page at https://www.braintrust.dev/docs/integrations/sdk-integrations lists only ruby-llm as a Ruby-specific integration. There is no documented Ruby instrumentation path for Google Vertex AI or google-cloud-ai_platform.

Upstream sources

Local repo files inspected

  • lib/braintrust/contrib.rb (lines 196–205) — registers only 4 integrations: OpenAI, RubyOpenAI, RubyLLM, Anthropic. No Google/Vertex integration.
  • lib/braintrust/contrib/ — contains only openai/, ruby_openai/, ruby_llm/, anthropic/, and rails/ directories. No google/ or vertex/ directory.
  • Appraisals — no appraisal scenarios for google-cloud-ai_platform
  • braintrust.gemspec — no mention of google or vertex
  • Grep for google, vertex, ai_platform across lib/braintrust/ returns zero matches

Weekly downloads

Weekly downloads: approximately 13K (as of 2026-10-14; ClickGems “last week”; source https://clickgems.clickhouse.com/dashboard/google-cloud-ai_platform).

Lenguaje dominante
Ruby
Estrellas
9
Forks
11
Merge medio
2 d 3 h
PR fusionados (30 d)
5

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