WFGY/ProblemMap/GlobalFixMap/LLM_Providers/aws_bedrock.md

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ProblemMap/GlobalFixMap/LLM_Providers/aws_bedrock.md

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AWS Bedrock: Guardrails and Fix Patterns

Use this page when failures look providerspecific in AWS Bedrock. Typical cases are mismatched model routing (Claude, Llama, Mistral, etc.), JSON schema drift, tool-call latency, throttle ceilings, or region/IAM issues that masquerade as “reasoning bugs.” Each fix maps to WFGY pages so you can verify with measurable targets.

Open these first


Fix in 60 seconds

  1. Measure ΔS
  • Compute ΔS(question, retrieved) and ΔS(retrieved, expected anchor).
  • Targets: stable < 0.40, transitional 0.400.60, risk ≥ 0.60.
  1. Probe with λ_observe
  • Vary k ∈ {5, 10, 20}. Flat high curve → index or metric mismatch.
  • Reorder prompt headers. If ΔS spikes, lock the schema.
  1. Apply the module
  • Retrieval drift → BBMC + Data Contracts.
  • Reasoning collapse → BBCR bridge + BBAM variance clamp.
  • Dead ends in long runs → BBPF alternate path.
  1. Verify
  • Coverage to target section ≥ 0.70.
  • ΔS ≤ 0.45 within three paraphrases.
  • λ stays convergent across seeds and sessions.

Typical Bedrock breakpoints (and the right fix)

  • Model routing not what you think
    Invoking anthropic.claude-* vs meta.llama-* vs mistral.* changes tokenizer, max tokens, and tool-call behavior. If outputs flip between routes, pin the model id per task, then re-check with Logic Collapse and Retrieval Traceability.

  • JSON schema drift in tool use
    Claude via Bedrock is strict on JSON when toolChoice is forced. Lock the output schema with Data Contracts and add a BBCR bridge step that rejects non-conformant fields.

  • Latency spikes → hidden timeouts
    Region hop or Guardrails policy checks can add latency. Use small test prompts and trace λ per step. If λ diverges only when tools are enabled, set a shorter planning window and split tools by namespace. See ops/live_monitoring_rag.md.

  • Bedrock “Guardrails” over-filtering
    Safety filters can truncate citations or code blocks. If citations vanish, lower the filter aggressiveness, then enforce source-only answers with Retrieval Traceability and the SCU pattern (symbolic constraint unlock).

  • Context windows differ across routes
    If the same prompt collapses only on one model family, shrink the active window and re-chunk. Validate with Context Drift and Entropy Collapse.

  • IAM or region misconfig → “reasoning” looks random
    On silent fallbacks or throttling, the agent loops. Install a BBCR checkpoint that asserts model id, region, and rate state before long chains. If it fails, exit early and surface infra status. See bootstrap-ordering and predeploy-collapse.


Provider knobs and minimal recipes

  • Pin model and cap tokens

    • One task, one model id. Keep a per-task max tokens map.
    • If you must swap models, add BBPF to branch at the planner step, not mid-reasoning.
  • Force citations first

    • Use citation-first headers and the snippet schema from Retrieval Traceability.
    • Reject answers without snippet ids. That alone removes most “looks like hallucination” cases.
  • Defuse prompt injection

    • Apply the injection checklist and keep tools off until the source set is locked. See prompt-injection.md.
  • Rerank aggressively

    • Many Bedrock routes benefit from tighter top-k ordering. Use Rerankers and then re-test ΔS across 3 paraphrases.

Escalation path


Copy-paste prompt (safe)


I uploaded TXT OS and the WFGY ProblemMap files.

My Bedrock issue:

* symptom: \[brief]
* traces: \[ΔS(question,retrieved)=..., ΔS(retrieved,anchor)=..., λ states]

Tell me:

1. which layer is failing and why,
2. which exact fix page to open from this repo,
3. the minimal steps to push ΔS ≤ 0.45 and keep λ convergent,
4. how to verify the fix with a reproducible test.

Use BBMC/BBPF/BBCR/BBAM when relevant.


Acceptance targets

  • Coverage to target section ≥ 0.70
  • ΔS(question, retrieved) ≤ 0.45 within three paraphrases
  • λ remains convergent across seeds and sessions
  • E_resonance flat on long windows

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