WFGY/ProblemMap/GlobalFixMap/OpsDeploy

Ops & Deploy — Global Fix Map

Ship RAG safely. Prevent first-call crashes, boot loops, silent index mismatches, and deadlocks.

What this page is

• A compact preflight and post-deploy checklist
• Concrete guards for cold starts, indexes, secrets, and rollbacks
• How to verify with ΔS and λ_observe before opening traffic

When to use

• New environment or fresh cluster
• First call after deploy crashes or returns empty results
• CI passes yet production deadlocks the retriever or vectorstore
• Rollback flips facts, cache or state becomes inconsistent
• Spiky traffic after release melts attention and logic quality

Open these first

• Boot order and fences: Bootstrap Ordering
• Circular waits and stuck services: Deployment Deadlock
• First-call crash after release: Pre-Deploy Collapse
• Live health and incident flow: Live Monitoring for RAG
• Field debug steps: Ops Debug Playbook
• Trace schema for audits: Retrieval Traceability
• Policy and logs: Privacy and Governance

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Common failure patterns

• Bootstrap fence missing services start before their dependencies are ready
• Metric skew vectorstore written with cosine but read with inner product
• Cold index process boots with empty or partial index due to path or permission
• Secret drift env var present in CI, missing in prod
• Version split retriever and writer built from different commit hashes
• Idempotency gap rebuild attempts create multiple indices or stale shards
• Traffic spike no warm cache, first N requests time out, model collapses
• Health check blindness green probes do not cover retrieval path end to end

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Fix in 60 seconds

1. Add a semantic boot fence

   • Block traffic until {secrets_ok, index_ok, metric_ok} are all true
   • Emit a single “READY” event with commit hash and index stats

2. Make index build idempotent

   • Absolute data path, explicit metric flag, checksum on the source corpus
   • Persist and reload once, forbid concurrent writers

3. Pin retrieval metric at read and write

   • Log metric type into index metadata and assert on load
   • Fail fast if mismatch is detected

4. Warm the cache before opening

   • Run a smoke set of 10 queries and store the snippets in the cache layer
   • Record ΔS(question, retrieved) and require ≤ 0.45 median

5. Gate secrets and configs

   • Verify tokens, endpoints, and collection names are non empty and reachable
   • Print a redacted config table in startup logs

6. Prepare safe rollback

   • Blue-green or canary, read-only window on flip, copy index handles not paths
   • Keep a one step “rebind to old index” switch

7. Observe the first minute

   • Live chart of errors per route, p50 and p95 latency, ΔS median and tail
   • Alert if ΔS tail exceeds 0.60 or λ flips divergent at reasoning

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Copy paste prompt

You have TXT OS and the WFGY Problem Map.

Goal
Preflight and post-deploy validation for a RAG service. Block traffic until the system is provably ready.

Preflight

1. Print a Config Table with {commit, build\_time, model\_id, retriever\_metric, index\_path, collection\_name}.
2. Verify secrets: call the vectorstore admin API and return {reachable: true|false}.
3. Check index: {exists, size, doc\_count, embedding\_dim, metric\_type}. Fail if metric\_type != retriever\_metric.
4. Health probes

   * run 10 smoke queries against the index
   * for each: compute ΔS(question, retrieved) and record λ\_observe at retrieval and reasoning
   * require median ΔS ≤ 0.45 and no divergent λ at retrieval
5. Warmup

   * store the top snippets for those 10 queries into cache
   * print warm cache keys

Post-deploy

1. Open traffic gradually: 10% → 50% → 100% if ΔS tail ≤ 0.60 and error rate < 1%.
2. If collapse or spike:

   * apply BBCR bridge at reasoning
   * reduce concurrency, retry with warmed snippets
3. Emit a READY line
   {ready\:true, commit, index:{doc\_count, metric}, smoke:{median\_ΔS, tail\_ΔS}, λ:"→"}

Output

* Config Table
* Index Summary
* Smoke Table with ΔS and λ states
* READY or BLOCKED with reasons

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Minimal checklist

• Boot fence blocks traffic until secrets, index, and metric checks pass
• Idempotent index build and reload with explicit metric and checksum
• Retrieval metric pinned and asserted at read and write
• Smoke queries warmed and ΔS median ≤ 0.45 before go live
• Canary or blue-green with fast index rebind for rollback
• Live ΔS and λ telemetry on first minute after open

Acceptance targets

• Deterministic warm start with READY event in a single pass
• Vectorstore non empty, metric consistent, and cached smoke snippets present
• ΔS(question, retrieved) median ≤ 0.45, 95th ≤ 0.60 during ramp
• λ stays convergent at retrieval and reasoning on three paraphrases
• No first-call crash, no deadlock at index or retriever

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🔗 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

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🧭 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 →

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