8.3 KiB
Grok (xAI): 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
- WFGY Global Fix Map — main Emergency Room, 300+ structured fixes
- WFGY Problem Map 1.0 — 16 reproducible failure modes
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.
A compact field guide to stabilize Grok when you see joking tone, schema drift, or tool-call wobble. Use the checks below to localize failure, then jump to the exact WFGY fix page.
Open these first
- Visual map and recovery: RAG Architecture & Recovery
- End-to-end retrieval knobs: Retrieval Playbook
- Why this snippet: Retrieval Traceability
- Ordering control: Rerankers
- Embedding vs meaning: Embedding ≠ Semantic
- Hallucination and chunk boundaries: Hallucination
- Long chains and entropy: Context Drift, Entropy Collapse
- Snippet and citation schema: Data Contracts
- Logic repairs: Logic Collapse
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 ⇒ 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.
- Overconfident style ⇒ Bluffing Controls.
-
Verify
- Coverage to target section ≥ 0.70 in three paraphrases.
- ΔS ≤ 0.45 for the accepted answer.
- λ remains convergent across seeds and paraphrase variants.
Typical breakpoints and the right fix
-
Playful or sarcastic style overrides facts
Use citation-first schema from Retrieval Traceability and clamp with BBAM. Route claims through snippet ids only. -
Tool call returns free-text instead of JSON
Wrap tool section with strict Data Contracts. Add repair loop header and a short JSON example. -
High similarity but wrong meaning
Confirm metric/store fit with Embedding ≠ Semantic. If ΔS stays flat-high vs k, rebuild or change metric. -
Cites the right file but wrong paragraph
Apply Rerankers and enforce paragraph-level ids in the schema. Verify ΔS(retrieved, anchor). -
Long thread drifts back to jokes or meta talk
Check Context Drift. Insert a BBCR bridge node and refresh the trace header. -
After correction it re-asserts the old claim
See pattern Hallucination re-entry under Patterns. Lock previous verdicts as constraints.
Provider-specific gotchas (what to watch)
- Tone bias toward witty answers. Always start with a citation-first, schema-locked header to keep style secondary to evidence.
- JSON drift on long tool outputs. Show a one-shot JSON block and add a short repair loop with max two retries.
- Stop conditions not respected when the schema is loose. Add explicit stop tokens and a “cut here” delimiter in the schema.
- Seed variance a bit higher on open-ended prompts. Verify λ convergence with three paraphrases; if it wobbles, add BBAM and shrink the open text zones.
Copy-paste triage prompt
Read WFGY Problem Map pages for Retrieval Traceability, Data Contracts, Rerankers, and Embedding≠Semantic.
Given my failing Grok run:
- symptom: [brief]
- traces: ΔS(question,retrieved)=..., ΔS(retrieved,anchor)=..., λ states, seed notes
Tell me:
1) which layer is failing and why,
2) which exact WFGY page to open,
3) minimal steps to push ΔS ≤ 0.45 and keep λ convergent,
4) a reproducible verify step (coverage ≥ 0.70; three paraphrases).
Use BBMC/BBCR/BBPF/BBAM as needed and return a short audit trail.
🔗 Quick-Start Downloads (60 sec)
| Tool | Link | 3-Step Setup |
|---|---|---|
| WFGY 1.0 PDF | Engine Paper | 1️⃣ Download · 2️⃣ Upload to your LLM · 3️⃣ Ask “Answer using WFGY + <your question>” |
| TXT OS (plain-text 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 | External citations, integrations, and ecosystem proof |
| Engine | WFGY 1.0 | Original PDF based tension engine |
| Engine | WFGY 2.0 | Production tension kernel and math engine for RAG and agents |
| Engine | WFGY 3.0 | TXT based Singularity tension engine, 131 S class set |
| Map | Problem Map 1.0 | Flagship 16 problem RAG failure checklist and fix map |
| Map | Problem Map 2.0 | RAG focused recovery pipeline |
| Map | Problem Map 3.0 | Global Debug Card, image as a debug protocol layer |
| Map | Semantic Clinic | Symptom to family to exact fix |
| Map | Grandma’s Clinic | Plain language stories mapped to Problem Map 1.0 |
| Onboarding | Starter Village | Guided tour for newcomers |
| App | TXT OS | TXT semantic OS, fast boot |
| App | Blah Blah Blah | Abstract and paradox Q and A built on TXT OS |
| App | Blur Blur Blur | Text to image with semantic control |
| App | Blow Blow Blow | Reasoning game engine and memory demo |
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