9.9 KiB
ProblemMap/GlobalFixMap/LLM_Providers/aws_bedrock.md
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Think of this page as a desk within a ward.
If you need the full triage and all prescriptions, return to the Emergency Room lobby.
AWS Bedrock: Guardrails and Fix Patterns
Use this page when failures look provider‐specific 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
- Visual map and recovery: RAG Architecture & Recovery
- End-to-end retrieval knobs: Retrieval Playbook
- Why this snippet (traceability schema): Retrieval Traceability
- Ordering control: Rerankers
- Embedding vs meaning: Embedding ≠ Semantic
- Hallucination and chunk boundaries: Hallucination
- Long chains and entropy: Context Drift, Entropy Collapse
- Structural collapse and recovery: Logic Collapse
- Snippet and citation schema: Data Contracts
- Ops and live checks: Live Monitoring for RAG
Fix in 60 seconds
- Measure ΔS
- Compute ΔS(question, retrieved) and ΔS(retrieved, expected anchor).
- Targets: stable < 0.40, transitional 0.40–0.60, risk ≥ 0.60.
- 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.
- Apply the module
- Retrieval drift → BBMC + Data Contracts.
- Reasoning collapse → BBCR bridge + BBAM variance clamp.
- Dead ends in long runs → BBPF alternate path.
- 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
Invokinganthropic.claude-*vsmeta.llama-*vsmistral.*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 whentoolChoiceis 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
- If ΔS flat-high across k and models → rebuild index with new metric. Check embedding-vs-semantic.
- If agent deadlocks with tools → split memory namespaces and add timeouts. See Multi-Agent Problems.
- If first prod call fails after deploy → confirm ordering with bootstrap-ordering and deployment-deadlock.
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
🔗 Quick-Start Downloads (60 sec)
| Tool | Link | 3-Step Setup |
|---|---|---|
| WFGY 1.0 PDF | Engine Paper | 1️⃣ Download · 2️⃣ Upload to your LLM · 3️⃣ Ask “Answer using WFGY + ” |
| TXT OS (plain-text OS) | TXTOS.txt | 1️⃣ Download · 2️⃣ Paste into any LLM chat · 3️⃣ Type “hello world” — OS boots instantly |
Explore More
| Layer | Page | What it’s for |
|---|---|---|
| ⭐ Proof | WFGY Recognition Map | External citations, integrations, and ecosystem proof |
| ⚙️ Engine | WFGY 1.0 | Original PDF tension engine and early logic sketch (legacy reference) |
| ⚙️ Engine | WFGY 2.0 | Production tension kernel for RAG and agent systems |
| ⚙️ Engine | WFGY 3.0 | TXT based Singularity tension engine (131 S class set) |
| 🗺️ Map | Problem Map 1.0 | Flagship 16 problem RAG failure taxonomy and fix map |
| 🗺️ Map | Problem Map 2.0 | Global Debug Card for RAG and agent pipeline diagnosis |
| 🗺️ Map | Problem Map 3.0 | Global AI troubleshooting atlas and failure pattern map |
| 🧰 App | TXT OS | .txt semantic OS with fast bootstrap |
| 🧰 App | Blah Blah Blah | Abstract and paradox Q&A built on TXT OS |
| 🧰 App | Blur Blur Blur | Text to image generation with semantic control |
| 🏡 Onboarding | Starter Village | Guided entry point for new users |
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