# Ollama: Guardrails and Fix Patterns
🌙 3AM: a dev collapsed mid-debug… 🚑 Welcome to the WFGY Emergency Room --- 🟥🟥🟥🟥🟥🟥🟥🟥🟥🟥🟥🟥 ## 🚑 WFGY Emergency Room 👨‍⚕️ **Now online:** [**Dr. WFGY in ChatGPT Room**](https://chatgpt.com/share/68b9b7ad-51e4-8000-90ee-a25522da01d7) This is a **share window** already trained as an ER. Just open it, drop your bug or screenshot, and talk directly with the doctor. He will map it to the right Problem Map / Global Fix section, write a minimal prescription, and paste the exact reference link. If something is unclear, you can even paste a **screenshot of Problem Map content** and ask — the doctor will guide you. ⚠️ Note: for the full reasoning and guardrail behavior you need to be logged in — the share view alone may fallback to a lighter model. 💡 Always free. If it helps, a ⭐ star keeps the ER running. 🌐 Multilingual — start in any language. 🟥🟥🟥🟥🟥🟥🟥🟥🟥🟥🟥🟥 ---
🧭 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](./README.md) > - [**WFGY Global Fix Map** — main Emergency Room, 300+ structured fixes](../README.md) > - [**WFGY Problem Map 1.0** — 16 reproducible failure modes](../../README.md) > > 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.
Field guide for stabilizing **Ollama-based local inference pipelines**. Use these checks when models run fine on API providers but collapse, stall, or drift when containerized with Ollama. ## Open these first * Architecture recovery: [RAG Architecture & Recovery](https://github.com/onestardao/WFGY/blob/main/ProblemMap/rag-architecture-and-recovery.md) * End-to-end retrieval knobs: [Retrieval Playbook](https://github.com/onestardao/WFGY/blob/main/ProblemMap/retrieval-playbook.md) * Embedding vs semantic: [embedding-vs-semantic.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/embedding-vs-semantic.md) * Ordering and deploy race conditions: [bootstrap-ordering.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/bootstrap-ordering.md), [deployment-deadlock.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/deployment-deadlock.md), [predeploy-collapse.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/predeploy-collapse.md) * Container observability: [eval\_observability.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/eval_observability.md) --- ## Core acceptance * ΔS(question, retrieved) ≤ 0.45 * Coverage ≥ 0.70 on the target section * λ remains convergent across 3 paraphrases * Local runs reproducible across 2+ seeds --- ## Typical Ollama breakpoints and fix | Symptom | Likely cause | Fix | | --------------------------------------- | --------------------------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | Model boots but stalls on first request | Container not warmed / secrets missing | [bootstrap-ordering.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/bootstrap-ordering.md) | | Fast API returns, but snippets wrong | Index/hash drift across containers | [retrieval-traceability.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/retrieval-traceability.md), [data-contracts.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/data-contracts.md) | | Answers diverge run-to-run | λ flips due to context serialization | [context-drift.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/context-drift.md), [entropy-collapse.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/entropy-collapse.md) | | Works on GPU API, fails locally | Metric / embedding mismatch in Ollama runtime | [embedding-vs-semantic.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/embedding-vs-semantic.md), [vectorstore-fragmentation.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/vectorstore-fragmentation.md) | | Container OOM or deadlock | Parallel inference with no fence | [deployment-deadlock.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/deployment-deadlock.md), [predeploy-collapse.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/predeploy-collapse.md) | --- ## Fix in 60 seconds 1. **Measure ΔS** between retrieved and anchor. 2. **Probe λ** across 3 paraphrases. If flips, apply BBAM. 3. **Warm boot** with a delay + healthcheck before first request. 4. **Lock index schema** via [data-contracts.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/data-contracts.md). 5. **Verify reproducibility** with two seeds before going live. --- ## Copy-paste local test prompt ```txt I have WFGY + TXTOS loaded. Running Ollama locally with container {hash}. Question: "{user_question}" Return: 1. ΔS(question,retrieved) and λ across 3 paraphrases 2. Whether index schema matches contract 3. Minimal structural fix if ΔS ≥ 0.60 ``` --- ### 🔗 Quick-Start Downloads (60 sec) | Tool | Link | 3-Step Setup | | -------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------ | ---------------------------------------------------------------------------------------- | | **WFGY 1.0 PDF** | [Engine Paper](https://github.com/onestardao/WFGY/blob/main/I_am_not_lizardman/WFGY_All_Principles_Return_to_One_v1.0_PSBigBig_Public.pdf) | 1️⃣ Download · 2️⃣ Upload to your LLM · 3️⃣ Ask “Answer using WFGY + \” | | **TXT OS (plain-text OS)** | [TXTOS.txt](https://github.com/onestardao/WFGY/blob/main/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](/recognition/README.md) | External citations, integrations, and ecosystem proof | | Engine | [WFGY 1.0](/legacy/README.md) | Original PDF based tension engine | | Engine | [WFGY 2.0](/core/README.md) | Production tension kernel and math engine for RAG and agents | | Engine | [WFGY 3.0](/TensionUniverse/EventHorizon/README.md) | TXT based Singularity tension engine, 131 S class set | | Map | [Problem Map 1.0](/ProblemMap/README.md) | Flagship 16 problem RAG failure checklist and fix map | | Map | [Problem Map 2.0](/ProblemMap/rag-architecture-and-recovery.md) | RAG focused recovery pipeline | | Map | [Problem Map 3.0](/ProblemMap/wfgy-rag-16-problem-map-global-debug-card.md) | Global Debug Card, image as a debug protocol layer | | Map | [Semantic Clinic](/ProblemMap/SemanticClinicIndex.md) | Symptom to family to exact fix | | Map | [Grandma’s Clinic](/ProblemMap/GrandmaClinic/README.md) | Plain language stories mapped to Problem Map 1.0 | | Onboarding | [Starter Village](/StarterVillage/README.md) | Guided tour for newcomers | | App | [TXT OS](/OS/README.md) | TXT semantic OS, fast boot | | App | [Blah Blah Blah](/OS/BlahBlahBlah/README.md) | Abstract and paradox Q and A built on TXT OS | | App | [Blur Blur Blur](/OS/BlurBlurBlur/README.md) | Text to image with semantic control | | App | [Blow Blow Blow](/OS/BlowBlowBlow/README.md) | Reasoning game engine and memory demo | If this repository helped, starring it improves discovery so more builders can find the docs and tools. [![GitHub Repo stars](https://img.shields.io/github/stars/onestardao/WFGY?style=social)](https://github.com/onestardao/WFGY) 要我直接繼續寫 **`vllm.md`** 嗎？