[bot] aws-sdk-bedrockruntime gem not instrumented
Nadie ha tomado este issue todavía.
Evaluación
- Dificultad
- 5/5
- Tiempo estimado
- Más de una semana
- Aptitud para principiantes
- 48/100
- Tipo de issue
- Nueva funcionalidad
- Claridad
- Bastante claro
- Estado de actividad
- Tranquilo
- Stack tecnológico
- aws, ruby
- Área
- ai, backend-api-design, observability
Línea de trabajo
Empieza leyendo las integraciones existentes en lib/braintrust/contrib/, especialmente openai/ y anthropic/, y después inspecciona lib/braintrust/contrib.rb, Appraisals y braintrust.gemspec. La tarea estará terminada cuando la integración de AWS Bedrock Runtime esté registrada y cubra las APIs converse, streaming, invoke-model y async con las entradas, los metadatos, el uso y las salidas indicados.
Escrito por el modelo de indexación a partir del texto del issue.
Descripción
Summary
The aws-sdk-bedrockruntime gem is the official AWS SDK for invoking foundation models on Amazon Bedrock. With ~16.6M downloads, continuous releases (v1.75.0, April 2026), and a standardized converse/converse_stream API surface across all Bedrock-hosted models (Claude, Titan, Llama, Mistral, Cohere, etc.), it is not instrumented by this SDK.
The SDK instruments standalone provider clients for OpenAI (openai, ruby-openai) and Anthropic (anthropic), but has no instrumentation for the AWS Bedrock Runtime client, which is one of the most widely used ways to invoke generative AI models in Ruby production environments.
What is missing
No instrumentation exists for any aws-sdk-bedrockruntime execution surface. Key APIs that should be instrumented:
Converse API (unified chat)
client.converse(...)— Unified chat API with structured messages, system prompts, tool use (tool_config,tool_use,tool_result), inference config (temperature, max_tokens, top_p, stop_sequences), and guardrails. Returns structuredConverseResponsewith usage metrics (input/output tokens), stop reason, and model-specific metadata. Works identically across all Bedrock-hosted models.client.converse_stream(...)— Streaming variant with event-based output (content_block_delta,content_block_start,content_block_stop,message_start,message_stop,metadata). Includes token usage and latency metrics in the stream metadata event.
Invoke Model API (raw model invocation)
client.invoke_model(...)— Raw model invocation with provider-specific request body. Returns raw response body. Used for embeddings (e.g., Titan Embeddings, Cohere Embed) and other model-specific APIs.client.invoke_model_with_response_stream(...)— Streaming variant of raw invocation.
Async Invoke API
client.start_async_invoke(...)— Asynchronous model invocation for long-running tasks.client.get_async_invoke(...)— Check status of async invocation.
Expected instrumentation
The converse/converse_stream APIs are the primary instrumentation target due to their standardized request/response shapes:
Converse spans should capture:
- Input: messages array, system prompts, tool configuration
- Metadata: model_id, inference_config (temperature, max_tokens, top_p, stop_sequences), guardrail_config, additional_model_request_fields, provider, endpoint
- Metrics: usage (input_tokens, output_tokens, total_tokens), latency metrics from stream metadata
- Output: response messages, stop_reason, additional_model_response_fields
Invoke model spans (for embeddings) should capture:
- Input: request body (model-specific)
- Metadata: model_id, content_type, accept, provider
- Output: response body metadata
Braintrust docs status
supported — Braintrust lists AWS Bedrock as a supported AI provider at https://www.braintrust.dev/docs. The Braintrust proxy supports Bedrock routing. However, there is no Ruby SDK auto-instrumentation for the aws-sdk-bedrockruntime gem — the SDK integrations page at https://www.braintrust.dev/docs/integrations/sdk-integrations does not list it as a supported Ruby library.
Upstream sources
- Official AWS SDK for Ruby: https://github.com/aws/aws-sdk-ruby
- RubyGems: https://rubygems.org/gems/aws-sdk-bedrockruntime (~16.6M downloads, v1.75.0, April 2026)
- AWS Bedrock Runtime API reference: https://docs.aws.amazon.com/sdk-for-ruby/v3/api/Aws/BedrockRuntime/Client.html
- AWS Bedrock Converse API docs: https://docs.aws.amazon.com/bedrock/latest/APIReference/API_runtime_Converse.html
Local repo files inspected
lib/braintrust/contrib/— contains onlyopenai/,ruby_openai/,ruby_llm/,anthropic/, andrails/directories. Nobedrockorawsdirectory.lib/braintrust/contrib.rb— registers only 4 integrations: OpenAI, RubyOpenAI, RubyLLM, Anthropic. No Bedrock integration.Appraisals— no appraisal scenarios foraws-sdk-bedrockruntimebraintrust.gemspec— no mention ofawsorbedrock- Grep for
bedrockacross entire codebase returns zero matches
- Lenguaje dominante
- Ruby
- Estrellas
- 9
- Forks
- 10
- Merge medio
- 22 h 10 min
- PR fusionados (30 d)
- 6
Preparar el entorno
- Incluye un Dockerfile o un archivo de Docker Compose
- Sin plantilla de pull request
- Leer la guía de contribución
Primeros pasos
- Lee el issue completo y luego la guía de contribución del proyecto.
- Comenta en el issue que vas a ocuparte — evita que dos personas hagan lo mismo.
- Haz un fork del repositorio y trabaja en una rama.
- Abre un pull request que haga referencia al número del issue.
Más de braintrustdata/braintrust-sdk-ruby
-
Dificultad 2/5 1-3 horas Aptitud para principiantes 78/100
-
[BOT ISSUE] OpenAI Chat Completions missing reasoning model and web search metadata parametersAbierto
Dificultad 2/5 1-3 horas Aptitud para principiantes 76/100
-
Dificultad 2/5 1-3 horas Aptitud para principiantes 72/100
-
ruby
Dificultad 4/5 3-5 días Aptitud para principiantes 48/100
-
ruby
Dificultad 4/5 3-5 días Aptitud para principiantes 48/100
Todos los issues de braintrustdata/braintrust-sdk-ruby
Issues similares
-
Add Catalan (ca) translationAbierto
Dificultad 2/5 1-3 horas Aptitud para principiantes 70/100
eurosky-social/eu-haul#32 ·
-
good first issue
Dificultad 2/5 1-3 horas Aptitud para principiantes 85/100
benbalter/jekyll-relative-links#137 ·
Los mantenedores suelen responder en 1 día
-
Dificultad 2/5 1-3 horas Aptitud para principiantes 76/100
rubys/roundhouse#444 ·
Los mantenedores suelen responder en 1 día
-
Dificultad 1/5 Menos de una hora Aptitud para principiantes 90/100
sclorg/s2i-ruby-container#656 ·
-
Dificultad 2/5 1-3 horas Aptitud para principiantes 78/100
Los mantenedores suelen responder en 1 día