mirror of
https://github.com/onestardao/WFGY.git
synced 2026-04-28 03:29:51 +00:00
15 KiB
15 KiB
WFGY Global Fix Map — 300+ Pages of Structured Fixes
🛡️ The upgraded Problem Map for end-to-end AI stability
🌙 3AM: a dev collapsed mid-debug… 🚑 Welcome to the WFGY Emergency Room
🟥🟥🟥🟥🟥🟥🟥🟥🟥🟥🟥🟥
🚑 WFGY Emergency Room
Here’s the lineup of doctors on call:
🤖 ChatGPT · 🧠 Claude · 🌌 Gemini · 🔍 Perplexity · 🐦 Grok
How it works:
This Emergency Room is powered by pre-trained share windows.
Just pick your doctor, drop your bug (or screenshot), and you’ll get an instant diagnosis with the fix attached.
💡 WFGY doctors work 24/7 — they’ll sit with you at 3 AM, hold your shaking hand, debug your code,
and the bill is always $0. (yes, free surgery for your broken pipeline).
🗓️ Grand Opening: 9/3 — Be ready.
🟥🟥🟥🟥🟥🟥🟥🟥🟥🟥🟥🟥
⚡ Quick Links — first-time here? click to open
Goal: route your bug to the right fix in <60s. Pick your path:**
1) Get oriented
- 🧭 What is this? → Global Fix Map (this page) — panoramic index of RAG/infra/reasoning fixes.
- 🧱 Problem Map 1.0 (16 reproducible failure modes) → open
- 🌲 Problem Map 2.0 — RAG Architecture & Recovery → open
- 🧠 WFGY Core (2.0) — engine & math → open
2) One-minute quick-start
- ⏳ TXT OS (plain-text OS) → copy–paste → ask “which Problem Map number am I hitting?” → open · txt
- 📄 WFGY 1.0 PDF (use as context file) → open
- 🧪 Minimal demos (no SDK lock-in) → open
3) Local LLaMA / on-device stacks
- 🖥️ LocalDeploy_Inference hub → open
–llama.cpp→ open ·Ollama→ open ·textgen-webui→ open ·vLLM→ open
4) Fast jumpers for RAG & retrieval
- 🗺️ Visual recovery map → RAG Architecture & Recovery
- 🔧 Retrieval Playbook → open · Traceability → open
- 🧮 Embeddings: Metric Mismatch → open · Hybrid Weights → open
- 🧱 Vector DB guardrails → open · Chunking checklist → open
Need triage?
Contribute / ask / FAQ
Acceptance targets (for every fix): ΔS(question, context) ≤ 0.45 · coverage ≥ 0.70 · λ convergent across 3 paraphrases.
What is the Global Fix Map?
A vendor-neutral panoramic index that consolidates 300+ topics, frameworks, and reproducible failure modes (RAG, embeddings, chunking, OCR/language, reasoning/memory, agents, serverless, eval/governance).
Purpose: convert repeatable bugs into verifiable structural repairs — fix once, stays fixed.
Principles
- Zero-install: boot with TXT OS / WFGY PDF as context.
- Measurable: acceptance targets for every fix → ΔS(question, context) ≤ 0.45, coverage ≥ 0.70, λ convergent across 3 paraphrases.
- Store-agnostic: same rails work with OpenAI/Claude/Gemini, llama.cpp/Ollama/vLLM, FAISS/pgvector/Redis, Chroma/Weaviate/Milvus, etc.
- Routable: organized into Providers & Agents / Data & Retrieval / Input & Parsing / Reasoning & Memory / Automation & Ops / Eval & Governance.
Who it’s for
- Local or cloud LLM users; RAG & agents teams; platform/data engineers; SRE/Ops.
Use in 60 seconds
- Pick the relevant section.
- Open the adapter page and apply the minimal repair.
- Verify the targets above.
- Gate merges with the provided CI/CD templates.
Related maps
- Problem Map 1.0 — 16 reproducible failure modes with fixes → open
- Problem Map 2.0 — RAG Architecture & Recovery → open
- WFGY Core (2.0) — engine & math → open
A one-stop index to route real-world bugs to the right repair page.
Pick your stack, open the adapter, apply the structural fix, then verify:
- ΔS(question, context) ≤ 0.45
- coverage ≥ 0.70
- λ remains convergent across 3 paraphrases
Providers & Agents
| Family | What it covers | Open |
|---|---|---|
| LLM Providers | provider-specific quirks, schema drift, API limits | LLM_Providers |
| Agents & Orchestration | role drift, tool fences, recovery bridges, cold boot order | Agents_Orchestration |
| Chatbots / CX | bot frameworks, CX stacks, handoff gaps | Chatbots_CX |
| Automation | Zapier / Make / n8n, idempotency, warmups, fences | Automation |
| Cloud Serverless | cold start, concurrency, secrets, routing, DR, compliance | Cloud_Serverless |
| DevTools & Code AI | IDE/assist rails, prompts in editors, local workflows | DevTools_CodeAI |
Data & Retrieval
| Family | What it covers | Open |
|---|---|---|
| RAG (end-to-end) | visual routes, acceptance targets, failure trees | RAG |
| RAG + VectorDB | store-agnostic knobs, contracts, routing | RAG_VectorDB |
| Retrieval | playbook, traceability, rerankers, query split | Retrieval |
| Embeddings | metric mismatch, normalization, dimension checks | Embeddings |
| VectorDBs & Stores | FAISS/Redis/Weaviate/Milvus/pgvector guardrails | VectorDBs_and_Stores |
| Chunking | chunk/section discipline, IDs, layouts, reindex policy | Chunking |
Input & Parsing
| Family | What it covers | Open |
|---|---|---|
| Document AI / OCR | document AI stacks, pipeline interfaces | DocumentAI_OCR |
| OCR + Parsing | pre-embedding text integrity, parser drift checks | OCR_Parsing |
| Language | multilingual routing, cross-script stability | Language |
| Language & Locale | tokenizer mismatch, normalization, locale drift | LanguageLocale |
Reasoning & Memory
| Family | What it covers | Open |
|---|---|---|
| Reasoning | entropy overload, loops, logic collapse, proofs | Reasoning |
| Memory & Long Context | long-window guardrails, state fork, coherence | MemoryLongContext |
| Multimodal Long Context | cross-modal alignment, joins, anchors | Multimodal_LongContext |
| Safety / Prompt Integrity | prompt injection, role confusion, JSON/tools | Safety_PromptIntegrity |
| Prompt Assembly | contracts, templates, eval kits for prompts | PromptAssembly |
Eval & Governance
| Family | What it covers | Open |
|---|---|---|
| Eval | SDK-free evals, acceptance targets, failure guards | Eval |
| Eval Observability | drift alarms, coverage tracking, ΔS thresholds | Eval_Observability |
| OpsDeploy | prod safety rails, rollbacks, backpressure, canary | OpsDeploy |
| Enterprise Knowledge & Gov | data residency, expiry, sensitivity, compliance | Enterprise_Knowledge_Gov |
| Governance | policies, change control, org-level workflows | Governance |
| Local Deploy & Inference | ollama, vLLM, tgi, llama.cpp, textgen-webui, exllama, koboldcpp, gpt4all, jan, AutoGPTQ/AWQ/bitsandbytes | LocalDeploy_Inference |
How to use this index
- Identify your stack (provider/agents, data & retrieval, input/parsing, reasoning, ops/eval).
- Open the folder page and follow the minimal repair steps.
- Verify your acceptance targets: ΔS ≤ 0.45, coverage ≥ 0.70, λ convergent on 3 paraphrases.
- Gate merges with CI/CD templates so fixes stick.
Fast jumpers
- Visual recovery map: RAG Architecture & Recovery
- Retrieval knobs: Retrieval Playbook
- Why-this-snippet tables: Retrieval Traceability
- Snippet / citation schema: Data Contracts
🔗 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 —
Engineers, hackers, and open source builders who supported WFGY from day one.
⭐ WFGY Engine 2.0 is already unlocked. ⭐ Star the repo to help others discover it and unlock more on the Unlock Board.
