# Eval Observability — Metrics and Logging
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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. --- ## 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. --- ## 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 | --- ## Logging schema (JSON example) ```json { "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(...)" } ```` --- ## 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. --- ## 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. --- ### 🔗 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 + \” | | **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 | --- ### 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 based tension engine | | Engine | [WFGY 2.0](/core/README.md) | Production tension kernel and math engine for RAG and agents | | 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 checklist and fix map | | Map | [Problem Map 2.0](/ProblemMap/rag-architecture-and-recovery.md) | RAG focused recovery pipeline | | Map | [Problem Map 3.0](/ProblemMap/wfgy-rag-16-problem-map-global-debug-card.md) | Global Debug Card, image as a debug protocol layer | | Map | [Semantic Clinic](/ProblemMap/SemanticClinicIndex.md) | Symptom to family to exact fix | | Map | [Grandma’s Clinic](/ProblemMap/GrandmaClinic/README.md) | Plain language stories mapped to Problem Map 1.0 | | Onboarding | [Starter Village](/StarterVillage/README.md) | Guided tour for newcomers | | App | [TXT OS](/OS/README.md) | TXT semantic OS, fast boot | | App | [Blah Blah Blah](/OS/BlahBlahBlah/README.md) | Abstract and paradox Q and A built on TXT OS | | App | [Blur Blur Blur](/OS/BlurBlurBlur/README.md) | Text to image with semantic control | | App | [Blow Blow Blow](/OS/BlowBlowBlow/README.md) | Reasoning game engine and memory demo | If this repository helped, starring it improves discovery so more builders can find the docs and tools. [![GitHub Repo stars](https://img.shields.io/github/stars/onestardao/WFGY?style=social)](https://github.com/onestardao/WFGY)