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[bot] Instrument AWS Bedrock Agent Runtime (2,630,075 weekly downloads)

Aperta
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Valutazione

Difficoltà
4/5
Tempo stimato
3-5 giorni
Idoneità per principianti
52/100
Tipo di issue
Funzionalità
Chiarezza
Abbastanza chiara
Stato di attività
Attiva
Stack tecnologico
aws, typescript
Ambito
backend, observability

Direzione di ricerca

Start by reading js/src/auto-instrumentations/configs/all.ts and js/src/span-origin.ts, then compare the existing Bedrock Runtime instrumentation with the AWS SDK commands named in the issue. The issue also identifies e2e/scenarios/ as the location for an instrumentation scenario. Done means direct use of Bedrock Agent Runtime commands is traced and the new instrumentation is registered.

Scritto dal modello di indicizzazione a partire dal testo della issue.

Descrizione

typescript

Summary

@aws-sdk/client-bedrock-agent-runtime is AWS's official SDK for invoking pre-built Amazon Bedrock Agents and Bedrock Flows — a distinct agent-execution surface from the already-instrumented Bedrock Runtime client (@aws-sdk/client-bedrock-runtime, which only covers direct model Converse/InvokeModel calls). InvokeAgentCommand, InvokeFlowCommand, and InvokeInlineAgentCommand run an agent's multi-step reasoning/tool-use loop server-side and stream back the trace, but none of this is captured as spans today.

What's missing

  • BedrockAgentRuntimeClient + InvokeAgentCommand — runs a configured Bedrock Agent against a prompt/session, optionally streaming the agent's reasoning trace (enableTrace) and tool invocations.
  • InvokeFlowCommand — executes a Bedrock Flow (a graph of prompt/tool/code nodes) and streams per-node outputs.
  • InvokeInlineAgentCommand — runs an ad hoc (not pre-registered) agent definition.

This is a different package/API surface than the AWS Bedrock Agent Runtime client that Strands Agents SDK optionally depends on (@aws-sdk/client-bedrock-agent-runtime appears only as an optional peer dependency of @strands-agents/sdk for Strands's own Bedrock backend — see e2e/scenarios/strands-agent-sdk-instrumentation/pnpm-lock.yaml). A caller using this AWS SDK client directly (not through Strands) gets zero tracing.

Weekly downloads

Weekly downloads: 2,630,075 (as of 2026-10-12; window 2026-10-04–2026-10-10; source https://api.npmjs.org/downloads/point/last-week/@aws-sdk/client-bedrock-agent-runtime)

Braintrust docs status

not_found — Checked https://www.braintrust.dev/docs/integrations/ai-providers/bedrock, which documents only the Bedrock Runtime client (ConverseCommand, ConverseStreamCommand, InvokeModelCommand, InvokeModelWithResponseStreamCommand via wrapBedrockRuntime/the auto-instrumentation hook) and the @anthropic-ai/bedrock-sdk path. Also checked https://www.braintrust.dev/docs/guides/traces/integrations (full tracing/agent-framework integration list) — no mention of Bedrock Agents, InvokeAgent, or Bedrock Flows anywhere in Braintrust's docs.

Upstream sources

Local repo files inspected

  • js/src/auto-instrumentations/configs/all.ts (full instrumentation registry — only bedrockRuntimeConfigs for AWS Bedrock, no Bedrock Agent Runtime entry)
  • js/src/span-origin.ts (INSTRUMENTATION_NAMES — only BEDROCK_RUNTIME, no Bedrock Agent entry)
  • Repo-wide case-insensitive search for bedrock-agent-runtime/BedrockAgentRuntime/InvokeAgent/InvokeFlow (only matches: binary provider-response cassette blobs with coincidental byte sequences, and @aws-sdk/client-bedrock-agent-runtime listed as an optional peer dependency in e2e/scenarios/strands-agent-sdk-instrumentation/pnpm-lock.yaml — i.e. Strands's own optional Bedrock backend, not direct instrumentation of this client)
  • e2e/scenarios/ directory listing (no Bedrock-Agent-named scenario)
Lingua principale
TypeScript
Stelle
29
Fork
16
Merge medio
1g 19h
PR unite (30g)
69

Preparare l'ambiente

  • Include un Dockerfile o un file Docker Compose
  • Nessun modello di pull request
  • Nessuna guida per i contributori

Come iniziare

  1. Leggi tutta la issue e poi la guida ai contributi del progetto.
  2. Commenta sulla issue per dire che te ne occupi tu — evita che due persone facciano lo stesso lavoro.
  3. Fai un fork del repository e lavora su un branch.
  4. Apri una pull request che faccia riferimento al numero della issue.

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