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Mistral: Guardrails and Fix Patterns

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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

  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 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. 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. Add Rerankers 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.

  5. 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


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Symptom: \[describe]
Traces: \[ΔS probes, λ states, short logs]

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1. failing layer and why,
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