# Mistral: Guardrails and Fix Patterns
🧭 Quick Return to Map
> You are in a sub-page of **LLM_Providers**.
> To reorient, go back here:
>
> - [**LLM_Providers** — model vendors and deployment options](./README.md)
> - [**WFGY Global Fix Map** — main Emergency Room, 300+ structured fixes](../README.md)
> - [**WFGY Problem Map 1.0** — 16 reproducible failure modes](../../README.md)
>
> 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.
**Scope**
Mistral Instruct and Large via API, third-party SDKs, or local runners (Ollama/LM Studio). Targets RAG, tools, long-context chat, and JSON output stability.
**Acceptance targets**
- ΔS(question, retrieved_context) ≤ 0.45
- Coverage of target section ≥ 0.70
- λ stays convergent across 3 paraphrases
- JSON responses validate without post-repair
---
## Quick triage
- **“Looks correct but cites wrong lines.”**
Start with [Hallucination](https://github.com/onestardao/WFGY/blob/main/ProblemMap/hallucination.md) and [Retrieval Traceability](https://github.com/onestardao/WFGY/blob/main/ProblemMap/retrieval-traceability.md).
Probe ΔS between question and retrieved context. If ≥ 0.60, check chunk boundaries and rerankers.
- **“Chunks are fine, logic is off.”**
Interpretation collapse. See [Retrieval Collapse](https://github.com/onestardao/WFGY/blob/main/ProblemMap/retrieval-collapse.md) and [Logic Collapse](https://github.com/onestardao/WFGY/blob/main/ProblemMap/logic-collapse.md).
Apply BBCR bridge and variance clamp (BBAM). Require cite-then-explain in prompt schema.
- **“Long threads drift or flatten.”**
See [Context Drift](https://github.com/onestardao/WFGY/blob/main/ProblemMap/context-drift.md) and [Entropy Collapse](https://github.com/onestardao/WFGY/blob/main/ProblemMap/entropy-collapse.md).
Use semantic chunking and enforce window join checks with ΔS at chunk joins ≤ 0.50.
- **“High similarity, wrong meaning.”**
Embeddings metric mismatch or index layer mix. See [Embedding ≠ Semantic](https://github.com/onestardao/WFGY/blob/main/ProblemMap/embedding-vs-semantic.md) and [Retrieval Playbook](https://github.com/github.com/onestardao/WFGY/blob/main/ProblemMap/retrieval-playbook.md).
Normalize vectors consistently. Rebuild index with explicit metric. Re-probe ΔS vs k.
- **“JSON tool calls intermittently malformed.”**
Lock response format with cite-then-tool schema, and guard with [Data Contracts](https://github.com/onestardao/WFGY/blob/main/ProblemMap/data-contracts.md).
Apply BBCR if λ flips after tool planning.
---
## Mistral-specific gotchas
1) **Tokenizer mix with multilingual or code blocks**
- Symptoms: stable retrieval yet answer blends two sources or flips format mid-turn.
- Fix: pin section headers and separators. Use [Retrieval Traceability](https://github.com/onestardao/WFGY/blob/main/ProblemMap/retrieval-traceability.md) schema. Verify ΔS drop after header locks.
2) **Streaming truncation that hides failure**
- Symptoms: plausible partial JSON; downstream parser fails silently.
- Fix: require “complete then stream” for JSON. Validate against [Data Contracts](https://github.com/onestardao/WFGY/blob/main/ProblemMap/data-contracts.md). If E_resonance rises late, apply BBAM.
3) **Hybrid retrievers degrade**
- Symptoms: single retriever OK, hybrid HyDE+BM25 worse.
- Fix: unify analyzer and query params; see [Query Parsing Split](https://github.com/onestardao/WFGY/blob/main/ProblemMap/patterns/pattern_query_parsing_split.md). Add [Rerankers](https://github.com/onestardao/WFGY/blob/main/ProblemMap/rerankers.md) only after per-retriever ΔS ≤ 0.50.
4) **Vectorstore fragmentation**
- Symptoms: some facts never retrieved despite index.
- Fix: audit write/read paths, rebuild with explicit metric, then follow [Vectorstore Fragmentation](https://github.com/onestardao/WFGY/blob/main/ProblemMap/patterns/pattern_vectorstore_fragmentation.md).
5) **Role drift under tools**
- Symptoms: tool planner rewrites the task, citations vanish.
- Fix: schema lock and per-source fences; see [Symbolic Constraint Unlock](https://github.com/onestardao/WFGY/blob/main/ProblemMap/patterns/pattern_symbolic_constraint_unlock.md).
---
## WFGY repair map for Mistral
- **Detect**
- ΔS(question, retrieved_context) and ΔS(retrieved_context, anchor)
- λ across retrieve → assemble → reason
- If ΔS ≥ 0.60 or λ flips, record node and branch to repair
- **Repair**
- **BBMC** align to anchors when coverage is high but ΔS elevated
- **BBCR** bridge dead ends at reasoning time
- **BBAM** clamp variance in long multi-turn threads
- **BBPF** explore alternate sub-paths when planner loops
Open the relevant playbooks when the metric points there:
[RAG Architecture & Recovery](https://github.com/onestardao/WFGY/blob/main/ProblemMap/rag-architecture-and-recovery.md) ·
[Retrieval Playbook](https://github.com/onestardao/WFGY/blob/main/ProblemMap/retrieval-playbook.md) ·
[Rerankers](https://github.com/onestardao/WFGY/blob/main/ProblemMap/rerankers.md)
---
## Minimal checklist
- Retrieval sanity ≥ 0.70 token overlap to target section
- ΔS(question, retrieved_context) ≤ 0.45 after fix
- λ convergent across 3 paraphrases
- JSON contract validates on 5 seed variations
- Logs preserve snippet ↔ citation table; see [Retrieval Traceability](https://github.com/onestardao/WFGY/blob/main/ProblemMap/retrieval-traceability.md)
---
## Escalation criteria
Switch from prompt-level tweaks to structural fixes if any hold after one loop:
- ΔS remains ≥ 0.60 after chunk and retriever adjustments
- λ flips as soon as two sources are mixed
- E_resonance climbs with length even after BBAM
- Hybrid retriever improves recall but top-k order remains noisy
For structure changes, see:
[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) ·
[Hallucination](https://github.com/onestardao/WFGY/blob/main/ProblemMap/hallucination.md)
---
## Safe prompt to run in your chat
```
I uploaded TXT OS. Use WFGY ΔS, λ\_observe, E\_resonance and modules BBMC, BBPF, BBCR, BBAM.
Symptom: \[describe]
Traces: \[ΔS probes, λ states, short logs]
Tell me:
1. failing layer and why,
2. which ProblemMap page to open,
3. the minimal steps to push ΔS ≤ 0.45 and keep λ convergent,
4. how to verify the fix.
```
---
### 🔗 Quick-Start Downloads (60 sec)
| Tool | Link | 3-Step Setup |
|------|------|--------------|
| **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 + \” |
| **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 |
---
### Explore More
| Layer | Page | What it’s for |
| --- | --- | --- |
| ⭐ Proof | [WFGY Recognition Map](/recognition/README.md) | External citations, integrations, and ecosystem proof |
| ⚙️ Engine | [WFGY 1.0](/legacy/README.md) | Original PDF tension engine and early logic sketch (legacy reference) |
| ⚙️ Engine | [WFGY 2.0](/core/README.md) | Production tension kernel for RAG and agent systems |
| ⚙️ Engine | [WFGY 3.0](/TensionUniverse/EventHorizon/README.md) | TXT based Singularity tension engine (131 S class set) |
| 🗺️ Map | [Problem Map 1.0](/ProblemMap/README.md) | Flagship 16 problem RAG failure taxonomy and fix map |
| 🗺️ Map | [Problem Map 2.0](/ProblemMap/wfgy-rag-16-problem-map-global-debug-card.md) | Global Debug Card for RAG and agent pipeline diagnosis |
| 🗺️ Map | [Problem Map 3.0](/ProblemMap/wfgy-ai-problem-map-troubleshooting-atlas.md) | Global AI troubleshooting atlas and failure pattern map |
| 🧰 App | [TXT OS](/OS/README.md) | .txt semantic OS with fast bootstrap |
| 🧰 App | [Blah Blah Blah](/OS/BlahBlahBlah/README.md) | Abstract and paradox Q&A built on TXT OS |
| 🧰 App | [Blur Blur Blur](/OS/BlurBlurBlur/README.md) | Text to image generation with semantic control |
| 🏡 Onboarding | [Starter Village](/StarterVillage/README.md) | Guided entry point for new users |
If this repository helped, starring it improves discovery so more builders can find the docs and tools.
[](https://github.com/onestardao/WFGY)