Mistral: Guardrails and Fix Patterns

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WFGY Global Fix Map — main Emergency Room, 300+ structured fixes

WFGY Problem Map 1.0 — 16 reproducible failure modes

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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 and Retrieval Traceability.
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 and Logic Collapse.
Apply BBCR bridge and variance clamp (BBAM). Require cite-then-explain in prompt schema.
“Long threads drift or flatten.”
See Context Drift and Entropy Collapse.
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 and Retrieval Playbook.
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.
Apply BBCR if λ flips after tool planning.

Mistral-specific gotchas

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 schema. Verify ΔS drop after header locks.
Streaming truncation that hides failure
- Symptoms: plausible partial JSON; downstream parser fails silently.
- Fix: require “complete then stream” for JSON. Validate against Data Contracts. If E_resonance rises late, apply BBAM.
Hybrid retrievers degrade
- Symptoms: single retriever OK, hybrid HyDE+BM25 worse.
- Fix: unify analyzer and query params; see Query Parsing Split. Add Rerankers only after per-retriever ΔS ≤ 0.50.
Vectorstore fragmentation
- Symptoms: some facts never retrieved despite index.
- Fix: audit write/read paths, rebuild with explicit metric, then follow Vectorstore Fragmentation.
Role drift under tools
- Symptoms: tool planner rewrites the task, citations vanish.
- Fix: schema lock and per-source fences; see Symbolic Constraint Unlock.

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 · Retrieval Playbook · Rerankers

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

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 · Logic Collapse · Hallucination

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.

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Tool	Link	3-Step Setup
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🧭 Explore More

Module	Description	Link
WFGY Core	WFGY 2.0 engine is live: full symbolic reasoning architecture and math stack	View →
Problem Map 1.0	Initial 16-mode diagnostic and symbolic fix framework	View →
Problem Map 2.0	RAG-focused failure tree, modular fixes, and pipelines	View →
Semantic Clinic Index	Expanded failure catalog: prompt injection, memory bugs, logic drift	View →
Semantic Blueprint	Layer-based symbolic reasoning & semantic modulations	View →
Benchmark vs GPT-5	Stress test GPT-5 with full WFGY reasoning suite	View →
🧙‍♂️ Starter Village 🏡	New here? Lost in symbols? Click here and let the wizard guide you through	Start →

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