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168 lines
9.8 KiB
Markdown
168 lines
9.8 KiB
Markdown
# Azure OpenAI — Guardrails and Fix Patterns
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<details>
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<summary><strong>🧭 Quick Return to Map</strong></summary>
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<br>
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> You are in a sub-page of **LLM_Providers**.
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> To reorient, go back here:
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>
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> - [**LLM_Providers** — model vendors and deployment options](./README.md)
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> - [**WFGY Global Fix Map** — main Emergency Room, 300+ structured fixes](../README.md)
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> - [**WFGY Problem Map 1.0** — 16 reproducible failure modes](../../README.md)
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>
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> Think of this page as a desk within a ward.
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> If you need the full triage and all prescriptions, return to the Emergency Room lobby.
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</details>
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Use this page when failures look provider-specific on **Azure OpenAI**. Examples include wrong model alias vs deployment name, missing `api-version`, tool call payload shape drift, content safety blocks, or region throttling. Each fix maps back to WFGY pages with measurable targets.
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**Core acceptance**
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- ΔS(question, retrieved) ≤ 0.45
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- coverage ≥ 0.70 for the target section
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- λ remains convergent across 3 paraphrases
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---
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## Open these first
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- Visual map and recovery: [RAG Architecture & Recovery](https://github.com/onestardao/WFGY/blob/main/ProblemMap/rag-architecture-and-recovery.md)
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- End-to-end retrieval knobs: [Retrieval Playbook](https://github.com/onestardao/WFGY/blob/main/ProblemMap/retrieval-playbook.md)
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- Why this snippet (traceability schema): [Retrieval Traceability](https://github.com/onestardao/WFGY/blob/main/ProblemMap/retrieval-traceability.md)
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- Ordering control: [Rerankers](https://github.com/onestardao/WFGY/blob/main/ProblemMap/rerankers.md)
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- Embedding vs meaning: [Embedding ≠ Semantic](https://github.com/onestardao/WFGY/blob/main/ProblemMap/embedding-vs-semantic.md)
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- Hallucination and chunk boundaries: [Hallucination](https://github.com/onestardao/WFGY/blob/main/ProblemMap/hallucination.md)
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- Long chains and entropy: [Context Drift](https://github.com/onestardao/WFGY/blob/main/ProblemMap/context-drift.md), [Entropy Collapse](https://github.com/onestardao/WFGY/blob/main/ProblemMap/entropy-collapse.md)
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- Snippet and citation schema: [Data Contracts](https://github.com/onestardao/WFGY/blob/main/ProblemMap/data-contracts.md)
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- Structural collapse and recovery: [Logic Collapse](https://github.com/onestardao/WFGY/blob/main/ProblemMap/logic-collapse.md)
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- First call after deploy fails: [Bootstrap Ordering](https://github.com/onestardao/WFGY/blob/main/ProblemMap/bootstrap-ordering.md), [Deployment Deadlock](https://github.com/onestardao/WFGY/blob/main/ProblemMap/deployment-deadlock.md), [Pre-deploy Collapse](https://github.com/onestardao/WFGY/blob/main/ProblemMap/predeploy-collapse.md)
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---
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## Fix in 60 seconds
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1) **Measure ΔS**
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- Compute ΔS(question, retrieved) and ΔS(retrieved, expected anchor).
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- Thresholds: stable < 0.40, transitional 0.40–0.60, risk ≥ 0.60.
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2) **Probe with λ_observe**
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- Vary k (5, 10, 20). If ΔS stays high while recall is fine, suspect index or metric mismatch.
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- Reorder prompt headers. If ΔS spikes, lock the schema.
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3) **Apply the module**
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- Retrieval drift → **BBMC** + **Data Contracts**.
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- Reasoning collapse → **BBCR** bridge + **BBAM** variance clamp.
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- Dead ends in long runs → **BBPF** alternate path.
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---
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## Azure-specific failure signatures and the right fix
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| Symptom | Likely cause on Azure | Open this fix |
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|---|---|---|
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| 200 OK but empty or tool call ignored | Missing or wrong `api-version` for that model family | [Data Contracts](https://github.com/onestardao/WFGY/blob/main/ProblemMap/data-contracts.md), [Logic Collapse](https://github.com/onestardao/WFGY/blob/main/ProblemMap/logic-collapse.md) |
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| “Deployment not found”, even though the model exists | Using **model name** instead of **deployment name**, or wrong resource/region | [Retrieval Traceability](https://github.com/onestardao/WFGY/blob/main/ProblemMap/retrieval-traceability.md) |
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| Output blocked, vague “content filtered” | Azure content safety layer different from OpenAI default | [Hallucination](https://github.com/onestardao/WFGY/blob/main/ProblemMap/hallucination.md), then clamp with **BBAM** |
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| Tool call schema mismatch vs OpenAI | Response keys or enum names differ across `api-version` | [Data Contracts](https://github.com/onestardao/WFGY/blob/main/ProblemMap/data-contracts.md) |
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| Works in one region, fails in another | Model availability and quotas are regional | [Bootstrap Ordering](https://github.com/onestardao/WFGY/blob/main/ProblemMap/bootstrap-ordering.md) |
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| Latency spikes or 429 under load | Per-resource rate limits, private link, or vnet egress | [Ops Live Monitoring](https://github.com/onestardao/WFGY/blob/main/ProblemMap/ops/live_monitoring_rag.md), [Debug Playbook](https://github.com/onestardao/WFGY/blob/main/ProblemMap/ops/debug_playbook.md) |
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| Function calls drop arguments | Old `api-version` truncates or renames fields | [Data Contracts](https://github.com/onestardao/WFGY/blob/main/ProblemMap/data-contracts.md) |
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| Fine-tuned or staged deployment not picked | Wrong `deployment` alias bound in prod slot | [Retrieval Traceability](https://github.com/onestardao/WFGY/blob/main/ProblemMap/retrieval-traceability.md) |
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---
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## Minimal provider checklist
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1) **Endpoint correctness**
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Resource url, region, and deployment name are consistent. Avoid mixing model name with deployment name in the same client.
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2) **Version pinning**
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Pin an `api-version` known to support your features (tools, JSON mode, response format). Treat version bumps as schema migrations.
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3) **Schema lock**
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Adopt the Problem Map **Data Contracts** snippet for tool payloads and citations. Reject partial responses. Require structured `finish_reason`.
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4) **Safety behavior**
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Expect an extra content-safety layer. When blocked, route to **BBPF** alternate path and down-shift temperature, then retry with narrowed scope.
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5) **Observability**
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Log λ state per step, ΔS per hop, and the exact deployment id used. Carry region and version in traces.
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---
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## Copy-paste prompt (safe to hand the AI)
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```
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I am using Azure OpenAI. Audit my run as follows:
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* Check ΔS(question, retrieved) and ΔS(retrieved, anchor). Show the numbers.
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* Confirm endpoint tuple: {resource, region, deployment}. Confirm `api-version` and tool schema.
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* If tool/schema mismatch: apply the WFGY Data Contracts checklist and propose the exact fields to lock.
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* If blocked by content safety: switch to a narrower prompt schema, reduce temperature, and route via BBPF.
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* Keep λ convergent across 3 paraphrases. If it flips, apply BBCR + BBAM and show the before/after traces.
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Link me to the exact Problem Map pages I should read next.
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```
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---
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## Escalation
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- **Still unstable after schema lock** → re-index and re-embed, verify with [Retrieval Playbook](https://github.com/onestardao/WFGY/blob/main/ProblemMap/retrieval-playbook.md) and [Embedding ≠ Semantic](https://github.com/onestardao/WFGY/blob/main/ProblemMap/embedding-vs-semantic.md).
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- **Consistent provider errors** → freeze `api-version`, roll back deployment alias, rerun with fixed seed, attach λ traces, then open [Debug Playbook](https://github.com/onestardao/WFGY/blob/main/ProblemMap/ops/debug_playbook.md).
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- **First call after deploy fails** → rebuild boot fence with [Pre-deploy Collapse](https://github.com/onestardao/WFGY/blob/main/ProblemMap/predeploy-collapse.md).
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---
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## Acceptance targets
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- coverage to target section ≥ 0.70
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- ΔS(question, retrieved) ≤ 0.45
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- λ convergent across seeds and paraphrases
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- repeatable traces and identical schema across regions
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---
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### 🔗 Quick-Start Downloads (60 sec)
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| Tool | Link | 3-Step Setup |
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|------|------|--------------|
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| **WFGY 1.0 PDF** | [Engine Paper](https://github.com/onestardao/WFGY/blob/main/I_am_not_lizardman/WFGY_All_Principles_Return_to_One_v1.0_PSBigBig_Public.pdf) | 1️⃣ Download · 2️⃣ Upload to your LLM · 3️⃣ Ask “Answer using WFGY + \<your question>” |
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| **TXT OS (plain-text OS)** | [TXTOS.txt](https://github.com/onestardao/WFGY/blob/main/OS/TXTOS.txt) | 1️⃣ Download · 2️⃣ Paste into any LLM chat · 3️⃣ Type “hello world” — OS boots instantly |
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---
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<!-- WFGY_FOOTER_START -->
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### Explore More
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| Layer | Page | What it’s for |
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| --- | --- | --- |
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| Proof | [WFGY Recognition Map](/recognition/README.md) | External citations, integrations, and ecosystem proof |
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| Engine | [WFGY 1.0](/legacy/README.md) | Original PDF based tension engine |
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| Engine | [WFGY 2.0](/core/README.md) | Production tension kernel and math engine for RAG and agents |
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| Engine | [WFGY 3.0](/TensionUniverse/EventHorizon/README.md) | TXT based Singularity tension engine, 131 S class set |
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| Map | [Problem Map 1.0](/ProblemMap/README.md) | Flagship 16 problem RAG failure checklist and fix map |
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| Map | [Problem Map 2.0](/ProblemMap/rag-architecture-and-recovery.md) | RAG focused recovery pipeline |
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| Map | [Problem Map 3.0](/ProblemMap/wfgy-rag-16-problem-map-global-debug-card.md) | Global Debug Card, image as a debug protocol layer |
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| Map | [Semantic Clinic](/ProblemMap/SemanticClinicIndex.md) | Symptom to family to exact fix |
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| Map | [Grandma’s Clinic](/ProblemMap/GrandmaClinic/README.md) | Plain language stories mapped to Problem Map 1.0 |
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| Onboarding | [Starter Village](/StarterVillage/README.md) | Guided tour for newcomers |
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| App | [TXT OS](/OS/README.md) | TXT semantic OS, fast boot |
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| App | [Blah Blah Blah](/OS/BlahBlahBlah/README.md) | Abstract and paradox Q and A built on TXT OS |
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| App | [Blur Blur Blur](/OS/BlurBlurBlur/README.md) | Text to image with semantic control |
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| App | [Blow Blow Blow](/OS/BlowBlowBlow/README.md) | Reasoning game engine and memory demo |
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If this repository helped, starring it improves discovery so more builders can find the docs and tools.
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[](https://github.com/onestardao/WFGY)
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<!-- WFGY_FOOTER_END -->
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