# 📒 Problem #16 ·Pre‑Deploy Collapse Problem Map  
*“Everything looked fine in CI… until **nothing** booted in prod.”*

Pre‑deploy collapse happens **before** a single user query is served.  
Migrations pass, tests are green, images ship — yet the first container
crashes or the very first LLM call returns a 500. Common root causes:

* Model checkpoint ≠ tokenizer version  
* Env var misspells (e.g., `OPEN_API_KEY` vs `OPENAI_API_KEY`)  
* Hidden f‑strings / Jinja placeholders left unresolved  
* GPU drivers mismatch container base (CUDA 11 vs 12)

WFGY’s *pre‑flight sanity layer* runs a semantic diff between **declared**
runtime and **effective** runtime, catching mismaps before traffic starts.

---

## 🚨 Typical Pre‑Deploy Collapses

| Pattern                               | Real‑World Fallout                   |
| ------------------------------------- | ------------------------------------ |
| Tokenizer / checkpoint version skew   | Embeds garbage; queries 0 % recall   |
| Missing secret in K‑V store           | First API call 401 / segfault        |
| CUDA / driver mismatch                | GPU container exits code 139         |
| Undigested template vars (`{{ }}`)    | Prompt crashes, empty completions    |

---

## 🛡️ WFGY Pre‑Flight Guards

| Collapse Pattern      | Guard Module            | Remedy                               | Status |
| --------------------- | ----------------------- | ------------------------------------ | ------ |
| Version skew          | **SemVers Diff**        | Abort deploy if `model.json` ↔ runtime mismatch | ✅ Stable |
| Missing secret        | **Boot Checkpoint**     | Block start until secret present     | ✅ Stable |
| Driver mismatch       | **Cuda‑Probe**          | Warn & fall back to CPU safe mode    | ⚠️ Beta |
| Stray `{{var}}` tokens| **Prompt Lint**         | Fail CI; highlight undeclared vars   | ✅ Stable |

---

## 📝 How It Works

1. **SemVers Diff**  
   Parses `model‑card.json`, compares `tokenizer_sha`, `pytorch_sha`,
   `cuda`, etc., with container runtime; throws if mismatch unless
   `--force`.

2. **Boot Checkpoint** *(shared)*  
   Kubernetes init‑container polls secret store; fails pod after
   `secret_timeout`.

3. **Cuda‑Probe**  
   Minimal `nvidia‑smi` check; if driver ≠ compiled CUDA, WFGY rewrites
   env `CUDA_VISIBLE_DEVICES=""` and logs downgrade.

4. **Prompt Lint**  
   CI step: scans prompts for `{{ }}` or `${}` tokens lacking a default in
   `prompt_vars.yaml`.

---

## ✍️ Demo — Tokenizer Version Skew

```bash
$ wgfy preflight
✔ env vars ............... OK
✖ checkpoint ↔ tokenizer .. MISMATCH
  • model: facebook/llama‑2‑7b‑chat‑hf  tokenizer‑sha = `ad4c1b9`
  • runtime: tokenizer‑sha = `9e7f02d`
  → Aborting deploy (use --force to override)
````

---

## 🗺️ Module Cheat‑Sheet

| Module              | Role                            |
| ------------------- | ------------------------------- |
| **SemVers Diff**    | Catch model / tokenizer skew    |
| **Boot Checkpoint** | Ensure secrets & config exist   |
| **Cuda‑Probe**      | Verify GPU driver compatibility |
| **Prompt Lint**     | Fail CI on stray template vars  |

---

## 📊 Implementation Status

| Feature                  | State    |
| ------------------------ | -------- |
| SemVers diff             | ✅ Stable |
| Boot checkpoint          | ✅ Stable |
| Cuda‑probe fallback      | ⚠️ Beta  |
| Prompt lint in CI action | ✅ Stable |

---

## 📝 Tips & Limits

* Add `ignore_versions: ["minor"]` in `wgfy.yaml` to allow 1‑patch drifts.
* Set `secret_timeout = 90s` for slower vaults.
* GPU fallback adds \~0.4 s latency per request — tune `cuda_probe.mode`.

---


### 🔗 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 + \<your question>” |
| **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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### 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 tension engine and early logic sketch (legacy reference) |
| ⚙️ Engine | [WFGY 2.0](/core/README.md) | Production tension kernel for RAG and agent systems |
| ⚙️ 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 taxonomy and fix map |
| 🗺️ Map | [Problem Map 2.0](/ProblemMap/wfgy-rag-16-problem-map-global-debug-card.md) | Global Debug Card for RAG and agent pipeline diagnosis |
| 🗺️ Map | [Problem Map 3.0](/ProblemMap/wfgy-ai-problem-map-troubleshooting-atlas.md) | Global AI troubleshooting atlas and failure pattern map |
| 🧰 App | [TXT OS](/OS/README.md) | .txt semantic OS with fast bootstrap |
| 🧰 App | [Blah Blah Blah](/OS/BlahBlahBlah/README.md) | Abstract and paradox Q&A built on TXT OS |
| 🧰 App | [Blur Blur Blur](/OS/BlurBlurBlur/README.md) | Text to image generation with semantic control |
| 🏡 Onboarding | [Starter Village](/StarterVillage/README.md) | Guided entry point for new users |

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