Kimi (Moonshot) Guardrails and Fix Patterns

Use this page when failures look provider specific on Kimi. Examples include JSON mode drifting into prose, safety filters stripping citations, or streaming tool calls that stall. Each fix maps back to WFGY pages so you can verify with measurable targets.

Core acceptance

ΔS(question, retrieved) ≤ 0.45
coverage ≥ 0.70 for the target section
λ remains convergent across 3 paraphrases

Open these first

Visual map and recovery: RAG Architecture & Recovery
End-to-end knobs: Retrieval Playbook
Why this snippet: Retrieval Traceability
Ordering control: Rerankers
Embedding vs meaning: Embedding ≠ Semantic
Hallucination and chunk boundaries: Hallucination
Long threads and memory: Context Drift, Entropy Collapse, Memory Coherence
Logic collapse and recovery: Logic Collapse
Snippet and citation schema: Data Contracts
Patterns: Query Parsing Split, Vectorstore Fragmentation, Hallucination Re-entry
Ops: Live Monitoring, Debug Playbook
Multi-agent overview: Multi-Agent Problems

Fix in 60 seconds

Measure ΔS
- Compute ΔS(question, retrieved) and ΔS(retrieved, expected anchor).
- Thresholds: stable < 0.40, transitional 0.40–0.60, risk ≥ 0.60.
Probe with λ_observe
- Vary k = {5, 10, 20}. Flat high curve suggests 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.
Provider knobs to check first
- Structured output mode on and schema fixed.
- Temperature and top_p conservative during diagnosis.
- Tool use set to serial if parallel calls cross-talk.
- Safety setting that removes citations set to a lower level during eval.
Verify
- Three paraphrases hold the same citations.
- λ convergent across seeds.
- E_resonance flat on long replies.

Typical breakpoints and the right fix

JSON mode drifts into prose or extra commentary
Lock a strict output schema with Data Contracts. Add a BBCR “bridge” instruction that rejects non-JSON. If it still leaks, run a short two-turn repair using Logic Collapse.
Chinese tokenizer quirks change similarity despite high cosine
Treat it as metric mismatch. Use Embedding ≠ Semantic and add BM25 fallback in the Retrieval Playbook. Then re-rank with Rerankers and anchor citations via Retrieval Traceability.
Safety filter strips citations or tool arguments
Move citation text to a dedicated field in the schema and reference with IDs. See Retrieval Traceability. If the model “bluffs” when filtered, apply controls in Bluffing.
Streaming tool calls stall or race
Force single-tool steps and add timeouts. Trace with Live Monitoring. If agents fight over memory, see Multi-Agent Problems and the memory patterns in Memory Coherence.
Long chat melts down after many pages
Cut context windows at stable joins and verify with Context Drift and Entropy Collapse. If replies “flip” across tabs, check Memory Desync.
Hybrid retrieval (HyDE + BM25) underperforms
Look for query splits in Pattern: Query Parsing Split. Align the query parse and re-rank.
Non-English corpus drifts
Follow the Multilingual Guide. Normalize punctuation and numerals in chunking and traceability.

Copy-paste prompt


I uploaded TXT OS and the WFGY Problem Map files.

My Kimi bug:
• 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 where relevant.

Escalate when

First call after deploy fails or tools fire before data is ready. See Pre-Deploy Collapse and Bootstrap Ordering.
Deadlocks or version skew in prod. See Deployment Deadlock.

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