WFGY/ProblemMap/GlobalFixMap/Eval_Observability/metrics_and_logging.md

Eval Observability — Metrics and Logging

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You are in a sub-page of Eval_Observability.
To reorient, go back here:

• Eval_Observability — evaluation metrics and system observability
• WFGY Global Fix Map — main Emergency Room, 300+ structured fixes
• WFGY Problem Map 1.0 — 16 reproducible failure modes

Think of this page as a desk within a ward.
If you need the full triage and all prescriptions, return to the Emergency Room lobby.

A baseline schema and checklist for logging semantic metrics (ΔS, λ, coverage, E_resonance) during live runs.
Use this page to enforce consistent telemetry so that offline eval and online observability align.

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Why log metrics?

• Drift detection: High ΔS or divergent λ states catch retrieval/logic errors early.
• Comparability: Same schema across providers, stores, and orchestration layers.
• Debug loops: Logged traces accelerate reproduction and diagnosis.
• Regression guards: Simple thresholds protect pipelines before release.

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Core metrics to capture

Metric	Definition	Thresholds
ΔS(question, retrieved)	Semantic distance between query and retrieved snippet	Stable ≤ 0.45, Transitional 0.45–0.60, Risk ≥ 0.60
Coverage	Fraction of gold/target section retrieved	≥ 0.70
λ_observe	State of reasoning flow (→ convergent, ← divergent, <> transitional, × collapse)	Must stay convergent across 3 paraphrases
E_resonance	Long-window entropy of reasoning steps	Should remain flat without spikes

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Logging schema (JSON example)

{
  "trace_id": "uuid",
  "timestamp": "2025-08-29T12:34:56Z",
  "question": "...",
  "retrieved": [
    {
      "snippet_id": "s1",
      "section": "intro",
      "source": "docA",
      "offsets": [120, 160],
      "ΔS": 0.42
    }
  ],
  "ΔS_overall": 0.44,
  "coverage": 0.72,
  "λ_state": "→",
  "E_resonance": 0.03,
  "index_hash": "abc123",
  "dedupe_key": "sha256(...)" 
}

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Quick probes

• ΔS probe: Recompute ΔS on each retrieval call. Alert if ≥ 0.60.
• λ probe: Run three paraphrases per eval batch, log λ_state sequence.
• Coverage probe: Compare retrieved sections against gold or expected anchors.
• E_resonance probe: Smooth entropy over 50–100 steps, alert if spike > 2× baseline.

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Storage tips

• Write logs to append-only store (e.g., KV or time-series DB).
• Deduplicate with dedupe_key = sha256(question + index_hash + snippet_id).
• Keep 30–90 days rolling window for regression analysis.

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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

Layer	Page	What it’s for
⭐ Proof	WFGY Recognition Map	External citations, integrations, and ecosystem proof
⚙️ Engine	WFGY 1.0	Original PDF tension engine and early logic sketch (legacy reference)
⚙️ Engine	WFGY 2.0	Production tension kernel for RAG and agent systems
⚙️ Engine	WFGY 3.0	TXT based Singularity tension engine (131 S class set)
🗺️ Map	Problem Map 1.0	Flagship 16 problem RAG failure taxonomy and fix map
🗺️ Map	Problem Map 2.0	Global Debug Card for RAG and agent pipeline diagnosis
🗺️ Map	Problem Map 3.0	Global AI troubleshooting atlas and failure pattern map
🧰 App	TXT OS	.txt semantic OS with fast bootstrap
🧰 App	Blah Blah Blah	Abstract and paradox Q&A built on TXT OS
🧰 App	Blur Blur Blur	Text to image generation with semantic control
🏡 Onboarding	Starter Village	Guided entry point for new users

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