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136 lines
5.9 KiB
Markdown
136 lines
5.9 KiB
Markdown
# 📒 Problem #16 ·Pre‑Deploy Collapse Problem Map
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*“Everything looked fine in CI… until **nothing** booted in prod.”*
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Pre‑deploy collapse happens **before** a single user query is served.
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Migrations pass, tests are green, images ship — yet the first container
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crashes or the very first LLM call returns a 500. Common root causes:
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* Model checkpoint ≠ tokenizer version
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* Env var misspells (e.g., `OPEN_API_KEY` vs `OPENAI_API_KEY`)
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* Hidden f‑strings / Jinja placeholders left unresolved
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* GPU drivers mismatch container base (CUDA 11 vs 12)
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WFGY’s *pre‑flight sanity layer* runs a semantic diff between **declared**
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runtime and **effective** runtime, catching mismaps before traffic starts.
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---
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## 🚨 Typical Pre‑Deploy Collapses
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| Pattern | Real‑World Fallout |
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| ------------------------------------- | ------------------------------------ |
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| Tokenizer / checkpoint version skew | Embeds garbage; queries 0 % recall |
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| Missing secret in K‑V store | First API call 401 / segfault |
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| CUDA / driver mismatch | GPU container exits code 139 |
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| Undigested template vars (`{{ }}`) | Prompt crashes, empty completions |
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---
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## 🛡️ WFGY Pre‑Flight Guards
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| Collapse Pattern | Guard Module | Remedy | Status |
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| --------------------- | ----------------------- | ------------------------------------ | ------ |
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| Version skew | **SemVers Diff** | Abort deploy if `model.json` ↔ runtime mismatch | ✅ Stable |
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| Missing secret | **Boot Checkpoint** | Block start until secret present | ✅ Stable |
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| Driver mismatch | **Cuda‑Probe** | Warn & fall back to CPU safe mode | ⚠️ Beta |
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| Stray `{{var}}` tokens| **Prompt Lint** | Fail CI; highlight undeclared vars | ✅ Stable |
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---
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## 📝 How It Works
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1. **SemVers Diff**
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Parses `model‑card.json`, compares `tokenizer_sha`, `pytorch_sha`,
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`cuda`, etc., with container runtime; throws if mismatch unless
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`--force`.
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2. **Boot Checkpoint** *(shared)*
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Kubernetes init‑container polls secret store; fails pod after
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`secret_timeout`.
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3. **Cuda‑Probe**
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Minimal `nvidia‑smi` check; if driver ≠ compiled CUDA, WFGY rewrites
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env `CUDA_VISIBLE_DEVICES=""` and logs downgrade.
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4. **Prompt Lint**
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CI step: scans prompts for `{{ }}` or `${}` tokens lacking a default in
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`prompt_vars.yaml`.
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---
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## ✍️ Demo — Tokenizer Version Skew
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```bash
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$ wgfy preflight
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✔ env vars ............... OK
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✖ checkpoint ↔ tokenizer .. MISMATCH
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• model: facebook/llama‑2‑7b‑chat‑hf tokenizer‑sha = `ad4c1b9`
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• runtime: tokenizer‑sha = `9e7f02d`
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→ Aborting deploy (use --force to override)
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````
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---
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## 🗺️ Module Cheat‑Sheet
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| Module | Role |
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| ------------------- | ------------------------------- |
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| **SemVers Diff** | Catch model / tokenizer skew |
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| **Boot Checkpoint** | Ensure secrets & config exist |
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| **Cuda‑Probe** | Verify GPU driver compatibility |
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| **Prompt Lint** | Fail CI on stray template vars |
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---
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## 📊 Implementation Status
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| Feature | State |
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| ------------------------ | -------- |
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| SemVers diff | ✅ Stable |
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| Boot checkpoint | ✅ Stable |
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| Cuda‑probe fallback | ⚠️ Beta |
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| Prompt lint in CI action | ✅ Stable |
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---
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## 📝 Tips & Limits
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* Add `ignore_versions: ["minor"]` in `wgfy.yaml` to allow 1‑patch drifts.
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* Set `secret_timeout = 90s` for slower vaults.
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* GPU fallback adds \~0.4 s latency per request — tune `cuda_probe.mode`.
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---
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### 🔗 Quick-Start Downloads (60 sec)
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| Tool | Link | 3-Step Setup |
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|------|------|--------------|
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| **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 + \<your question>” |
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| **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 |
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---
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<!-- WFGY_FOOTER_START -->
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### Explore More
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| Layer | Page | What it’s for |
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| --- | --- | --- |
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| ⭐ Proof | [WFGY Recognition Map](/recognition/README.md) | External citations, integrations, and ecosystem proof |
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| ⚙️ Engine | [WFGY 1.0](/legacy/README.md) | Original PDF tension engine and early logic sketch (legacy reference) |
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| ⚙️ Engine | [WFGY 2.0](/core/README.md) | Production tension kernel for RAG and agent systems |
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| ⚙️ Engine | [WFGY 3.0](/TensionUniverse/EventHorizon/README.md) | TXT based Singularity tension engine (131 S class set) |
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| 🗺️ Map | [Problem Map 1.0](/ProblemMap/README.md) | Flagship 16 problem RAG failure taxonomy and fix map |
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| 🗺️ Map | [Problem Map 2.0](/ProblemMap/wfgy-rag-16-problem-map-global-debug-card.md) | Global Debug Card for RAG and agent pipeline diagnosis |
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| 🗺️ Map | [Problem Map 3.0](/ProblemMap/wfgy-ai-problem-map-troubleshooting-atlas.md) | Global AI troubleshooting atlas and failure pattern map |
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| 🧰 App | [TXT OS](/OS/README.md) | .txt semantic OS with fast bootstrap |
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| 🧰 App | [Blah Blah Blah](/OS/BlahBlahBlah/README.md) | Abstract and paradox Q&A built on TXT OS |
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| 🧰 App | [Blur Blur Blur](/OS/BlurBlurBlur/README.md) | Text to image generation with semantic control |
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| 🏡 Onboarding | [Starter Village](/StarterVillage/README.md) | Guided entry point for new users |
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If this repository helped, starring it improves discovery so more builders can find the docs and tools.
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[](https://github.com/onestardao/WFGY)
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<!-- WFGY_FOOTER_END -->
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