KoboldCPP: 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

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.

KoboldCPP is a lightweight local inference runtime for LLaMA-based models, focused on CPU (with AVX/AVX2/AVX512) and GPU acceleration (CUDA, Metal, OpenCL). It is popular in hobbyist and low-VRAM deployments but frequently shows drift when paired with RAG, agents, or long-context reasoning. This page defines stability checks and exact WFGY fixes.

Open these first

Visual recovery map: RAG Architecture & Recovery
End-to-end knobs: Retrieval Playbook
Ordering and deploy fences: bootstrap-ordering.md, deployment-deadlock.md, predeploy-collapse.md
Trace schema: retrieval-traceability.md, data-contracts.md

Core acceptance

ΔS(question, retrieved) ≤ 0.45
Coverage ≥ 0.70 on target snippet
λ remains convergent across 3 paraphrases × 2 seeds
Stable behavior across quantization (Q4_K_M, Q5_K, Q8_0)

Common KoboldCPP breakpoints

Symptom	Likely Cause	Fix
ΔS jumps when switching quantization modes	Embedding contract not enforced	embedding-vs-semantic.md, chunking-checklist.md
Context drift after ~4–6k tokens	KV cache fragmentation	context-drift.md, entropy-collapse.md
Tool JSON output invalid	No enforced schema	prompt-injection.md, logic-collapse.md
Model boots but hangs on first query	Lazy allocator / boot fence missing	bootstrap-ordering.md
Agent handoff loops with role drift	Memory namespace not separated	Multi-Agent_Problems.md

Fix in 60 seconds

Run a warm-up batch (10–20 tokens) before first live query.
Force citation schema: snippet_id, section_id, offsets must be present.
λ probe: run three paraphrases at k=5,10,20. Require convergence.
Rotate cache every 8k tokens to prevent entropy collapse.
Verify with coverage ≥ 0.70, ΔS ≤ 0.45.

Diagnostic prompt (copy-paste)

I am running KoboldCPP with quant={mode}, context={n_tokens}, and agents={on/off}.  
Question: "{user_question}"  

Please output:
- ΔS(question, retrieved)
- λ across 3 paraphrases × 2 seeds
- Cache stability (max tokens before drift)
- JSON schema compliance
- Minimal WFGY fix page if ΔS ≥ 0.60

🔗 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 tension engine and early logic sketch (legacy reference)
⚙️ Engine	WFGY 2.0	Production tension kernel for RAG and agent systems
⚙️ Engine	WFGY 3.0	TXT based Singularity tension engine (131 S class set)
🗺️ Map	Problem Map 1.0	Flagship 16 problem RAG failure taxonomy and fix map
🗺️ Map	Problem Map 2.0	Global Debug Card for RAG and agent pipeline diagnosis
🗺️ Map	Problem Map 3.0	Global AI troubleshooting atlas and failure pattern map
🧰 App	TXT OS	.txt semantic OS with fast bootstrap
🧰 App	Blah Blah Blah	Abstract and paradox Q&A built on TXT OS
🧰 App	Blur Blur Blur	Text to image generation with semantic control
🏡 Onboarding	Starter Village	Guided entry point for new users

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