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117 lines
6.7 KiB
Markdown
117 lines
6.7 KiB
Markdown
# 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.
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Use this page to enforce consistent telemetry so that offline eval and online observability align.
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---
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## Why log metrics?
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- **Drift detection**: High ΔS or divergent λ states catch retrieval/logic errors early.
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- **Comparability**: Same schema across providers, stores, and orchestration layers.
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- **Debug loops**: Logged traces accelerate reproduction and diagnosis.
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- **Regression guards**: Simple thresholds protect pipelines before release.
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---
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## Core metrics to capture
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| Metric | Definition | Thresholds |
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|--------|------------|------------|
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| ΔS(question, retrieved) | Semantic distance between query and retrieved snippet | Stable ≤ 0.45, Transitional 0.45–0.60, Risk ≥ 0.60 |
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| Coverage | Fraction of gold/target section retrieved | ≥ 0.70 |
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| λ_observe | State of reasoning flow (→ convergent, ← divergent, <> transitional, × collapse) | Must stay convergent across 3 paraphrases |
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| E_resonance | Long-window entropy of reasoning steps | Should remain flat without spikes |
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---
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## Logging schema (JSON example)
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```json
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{
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"trace_id": "uuid",
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"timestamp": "2025-08-29T12:34:56Z",
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"question": "...",
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"retrieved": [
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{
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"snippet_id": "s1",
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"section": "intro",
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"source": "docA",
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"offsets": [120, 160],
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"ΔS": 0.42
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}
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],
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"ΔS_overall": 0.44,
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"coverage": 0.72,
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"λ_state": "→",
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"E_resonance": 0.03,
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"index_hash": "abc123",
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"dedupe_key": "sha256(...)"
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}
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````
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---
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## Quick probes
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* **ΔS probe**: Recompute ΔS on each retrieval call. Alert if ≥ 0.60.
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* **λ probe**: Run three paraphrases per eval batch, log λ\_state sequence.
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* **Coverage probe**: Compare retrieved sections against gold or expected anchors.
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* **E\_resonance probe**: Smooth entropy over 50–100 steps, alert if spike > 2× baseline.
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---
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## Storage tips
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* Write logs to append-only store (e.g., KV or time-series DB).
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* Deduplicate with `dedupe_key = sha256(question + index_hash + snippet_id)`.
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* Keep 30–90 days rolling window for regression analysis.
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---
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### 🔗 Quick-Start Downloads (60 sec)
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| Tool | Link | 3-Step Setup |
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| -------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------ | ---------------------------------------------------------------------------------------- |
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| **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 + \<your question>” |
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| **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 |
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---
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### 🧭 Explore More
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| Module | Description | Link |
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| ------------------------ | ---------------------------------------------------------------------------- | -------------------------------------------------------------------------------------------------- |
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| WFGY Core | WFGY 2.0 engine is live: full symbolic reasoning architecture and math stack | [View →](https://github.com/onestardao/WFGY/tree/main/core/README.md) |
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| Problem Map 1.0 | Initial 16-mode diagnostic and symbolic fix framework | [View →](https://github.com/onestardao/WFGY/tree/main/ProblemMap/README.md) |
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| Problem Map 2.0 | RAG-focused failure tree, modular fixes, and pipelines | [View →](https://github.com/onestardao/WFGY/blob/main/ProblemMap/rag-architecture-and-recovery.md) |
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| Semantic Clinic Index | Expanded failure catalog: prompt injection, memory bugs, logic drift | [View →](https://github.com/onestardao/WFGY/blob/main/ProblemMap/SemanticClinicIndex.md) |
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| Semantic Blueprint | Layer-based symbolic reasoning & semantic modulations | [View →](https://github.com/onestardao/WFGY/tree/main/SemanticBlueprint/README.md) |
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| Benchmark vs GPT-5 | Stress test GPT-5 with full WFGY reasoning suite | [View →](https://github.com/onestardao/WFGY/tree/main/benchmarks/benchmark-vs-gpt5/README.md) |
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| 🧙♂️ Starter Village 🏡 | New here? Lost in symbols? Click here and let the wizard guide you through | [Start →](https://github.com/onestardao/WFGY/blob/main/StarterVillage/README.md) |
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---
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> 👑 **Early Stargazers: [See the Hall of Fame](https://github.com/onestardao/WFGY/tree/main/stargazers)** —
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> Engineers, hackers, and open source builders who supported WFGY from day one.
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> <img src="https://img.shields.io/github/stars/onestardao/WFGY?style=social" alt="GitHub stars"> ⭐ [WFGY Engine 2.0](https://github.com/onestardao/WFGY/blob/main/core/README.md) is already unlocked. ⭐ Star the repo to help others discover it and unlock more on the [Unlock Board](https://github.com/onestardao/WFGY/blob/main/STAR_UNLOCKS.md).
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<div align="center">
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[](https://github.com/onestardao/WFGY)
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[](https://github.com/onestardao/WFGY/tree/main/OS)
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[](https://github.com/onestardao/WFGY/tree/main/OS/BlahBlahBlah)
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[](https://github.com/onestardao/WFGY/tree/main/OS/BlotBlotBlot)
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[](https://github.com/onestardao/WFGY/tree/main/OS/BlocBlocBloc)
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[](https://github.com/onestardao/WFGY/tree/main/OS/BlurBlurBlur)
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[](https://github.com/onestardao/WFGY/tree/main/OS/BlowBlowBlow)
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</div>
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