9.3 KiB
LM Studio: Guardrails and Fix Patterns
🧭 Quick Return to Map
You are in a sub-page of LocalDeploy_Inference.
To reorient, go back here:
- LocalDeploy_Inference — on-prem deployment and model inference
- 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.
LM Studio is a desktop-native app for running LLMs locally. It integrates a polished UI, GGUF/GGML model loading, and provides both chat and API endpoints for developers. While convenient, LM Studio inherits typical inference-layer bugs: schema drift, memory desync, device initialization errors, and retrieval instability. This page aligns LM Studio workflows with WFGY guardrails.
Open these first
- Visual map and recovery: rag-architecture-and-recovery.md
- Retrieval knobs: retrieval-playbook.md
- Snippet traceability: retrieval-traceability.md
- Data schema lock: data-contracts.md
- Context and entropy issues: context-drift.md, entropy-collapse.md
- Boot and deploy ordering: bootstrap-ordering.md, predeploy-collapse.md
Core acceptance
- ΔS(question, retrieved) ≤ 0.45
- Coverage ≥ 0.70 for the target section
- λ remains convergent across paraphrases and seeds
- API mode enforces JSON schema and idempotency
- Logs include ΔS and λ for reproducibility
Common LM Studio breakpoints
| Symptom | Likely Cause | Fix |
|---|---|---|
| App boots but first query fails | Device/driver not initialized | bootstrap-ordering.md |
| Answers alternate across sessions | λ instability | context-drift.md |
| JSON responses malformed | Schema drift in API mode | logic-collapse.md, data-contracts.md |
| Citations missing or inconsistent | No snippet schema enforcement | retrieval-traceability.md |
| Long multi-turn sessions degrade | Entropy accumulation | entropy-collapse.md |
Fix in 60 seconds
- Warm-up query: issue a simple echo prompt to stabilize device context.
- Enforce schema: define JSON outputs explicitly in LM Studio API mode.
- Measure ΔS: log ΔS(question, retrieved) per run. If ≥ 0.60, rebuild embeddings.
- Clamp λ: if λ flips across paraphrases, lock headers and shorten memory.
- Trace citations: ensure “cite-then-explain” contract is enforced.
Diagnostic prompt (copy-paste)
You are running LM Studio as a local inference API.
Given Question: "{user_question}"
Return:
- ΔS(question, retrieved)
- λ state across 3 paraphrases
- JSON compliance (true/false)
- Which WFGY fix page applies 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
| 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 → |
👑 Early Stargazers: See the Hall of Fame
⭐ WFGY Engine 2.0 is already unlocked. ⭐ Star the repo to help others discover it and unlock more on the Unlock Board.
