📒 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

SemVers Diff
Parses model‑card.json, compares tokenizer_sha, pytorch_sha, cuda, etc., with container runtime; throws if mismatch unless --force.
Boot Checkpoint (shared)
Kubernetes init‑container polls secret store; fails pod after secret_timeout.
Cuda‑Probe
Minimal nvidia‑smi check; if driver ≠ compiled CUDA, WFGY rewrites env CUDA_VISIBLE_DEVICES="" and logs downgrade.
Prompt Lint
CI step: scans prompts for {{ }} or ${} tokens lacking a default in prompt_vars.yaml.

✍️ Demo — Tokenizer Version Skew

$ 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	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

Layer	Page	What it’s for
Proof	WFGY Recognition Map	External citations, integrations, and ecosystem proof
Engine	WFGY 1.0	Original PDF based tension engine
Engine	WFGY 2.0	Production tension kernel and math engine for RAG and agents
Engine	WFGY 3.0	TXT based Singularity tension engine, 131 S class set
Map	Problem Map 1.0	Flagship 16 problem RAG failure checklist and fix map
Map	Problem Map 2.0	RAG focused recovery pipeline
Map	Problem Map 3.0	Global Debug Card, image as a debug protocol layer
Map	Semantic Clinic	Symptom to family to exact fix
Map	Grandma’s Clinic	Plain language stories mapped to Problem Map 1.0
Onboarding	Starter Village	Guided tour for newcomers
App	TXT OS	TXT semantic OS, fast boot
App	Blah Blah Blah	Abstract and paradox Q and A built on TXT OS
App	Blur Blur Blur	Text to image with semantic control
App	Blow Blow Blow	Reasoning game engine and memory demo

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📒 Problem #16 ·Pre‑Deploy Collapse Problem Map