Eval Observability — Evaluation Playbook

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Eval_Observability — evaluation metrics and system observability

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WFGY Problem Map 1.0 — 16 reproducible failure modes

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Evaluation disclaimer (observability playbook)
The signals in this playbook come from specific logging and probing setups.
They are tools for monitoring behavior, not proofs of safety or correctness on their own.

A compact playbook to stabilize evaluation and ensure results are reproducible.
Use this when metrics look inconsistent, coverage drifts, or benchmarks feel untrustworthy.

Core acceptance

ΔS(question, retrieved) ≤ 0.45
Coverage ≥ 0.70 to target section
λ remains convergent across 3 paraphrases and 2 seeds
Variance ratio ≤ 0.15 across seed runs
No monotonic downward drift beyond 3 windows

Step 1 — Regression Gate

Run a gate before promoting new models or retrievers.

Require ΔS ≤ 0.45 and coverage ≥ 0.70 on 3 paraphrases.
Block deploy if λ flips divergent.
Open: regression_gate.md

Step 2 — Alerting and Probes

Set live probes to catch collapse early.

Alert when ΔS ≥ 0.60 or λ flips.
Emit logs for coverage gaps, drift slopes, entropy rises.
Open: alerting_and_probes.md

Step 3 — Coverage Tracking

Measure retrieved vs target section alignment.

At least 70% coverage on gold targets.
Track section-level recall, not just overall hit-rate.
Open: coverage_tracking.md

Step 4 — ΔS Thresholds

Normalize ΔS scoring and enforce thresholds.

Stable < 0.40
Transitional 0.40–0.60
Collapse ≥ 0.60
Open: deltaS_thresholds.md

Step 5 — λ Observe

Use λ probes to detect schema drift.

Run same query across seeds and paraphrases.
If λ flips, lock schema and enforce reranker.
Open: lambda_observe.md

Step 6 — Variance and Drift

Log variance ratios and detect slow regressions.

Variance ratio ≤ 0.15
Drift slope ≤ 0.02 per batch
Alert if monotonic decline lasts 3+ windows
Open: variance_and_drift.md

Step 7 — Audit & Escalation

If instability remains:

Rebuild embeddings with embedding-vs-semantic.md
Patch retriever fragmentation with vectorstore-fragmentation.md
Apply reranking schema: rerankers.md

Copy-paste eval contract

eval_contract:
  seeds: 3
  paraphrases: 3
  targets:
    deltaS: <=0.45
    coverage: >=0.70
    lambda: convergent
    variance: <=0.15
    drift: <=0.02
alerts:
  - deltaS >=0.60
  - lambda divergent
  - drift slope >0.02

🔗 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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