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120 lines
5.5 KiB
Markdown
120 lines
5.5 KiB
Markdown
# Eval Observability — Metrics and Logging
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<details>
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<summary><strong>🧭 Quick Return to Map</strong></summary>
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<br>
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> You are in a sub-page of **Eval_Observability**.
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> To reorient, go back here:
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>
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> - [**Eval_Observability** — evaluation metrics and system observability](./README.md)
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> - [**WFGY Global Fix Map** — main Emergency Room, 300+ structured fixes](../README.md)
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> - [**WFGY Problem Map 1.0** — 16 reproducible failure modes](../../README.md)
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>
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> Think of this page as a desk within a ward.
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> If you need the full triage and all prescriptions, return to the Emergency Room lobby.
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</details>
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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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<!-- WFGY_FOOTER_START -->
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### Explore More
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| Layer | Page | What it’s for |
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| --- | --- | --- |
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| ⭐ Proof | [WFGY Recognition Map](/recognition/README.md) | External citations, integrations, and ecosystem proof |
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| ⚙️ Engine | [WFGY 1.0](/legacy/README.md) | Original PDF tension engine and early logic sketch (legacy reference) |
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| ⚙️ Engine | [WFGY 2.0](/core/README.md) | Production tension kernel for RAG and agent systems |
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| ⚙️ Engine | [WFGY 3.0](/TensionUniverse/EventHorizon/README.md) | TXT based Singularity tension engine (131 S class set) |
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| 🗺️ Map | [Problem Map 1.0](/ProblemMap/README.md) | Flagship 16 problem RAG failure taxonomy and fix map |
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| 🗺️ Map | [Problem Map 2.0](/ProblemMap/wfgy-rag-16-problem-map-global-debug-card.md) | Global Debug Card for RAG and agent pipeline diagnosis |
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| 🗺️ Map | [Problem Map 3.0](/ProblemMap/wfgy-ai-problem-map-troubleshooting-atlas.md) | Global AI troubleshooting atlas and failure pattern map |
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| 🧰 App | [TXT OS](/OS/README.md) | .txt semantic OS with fast bootstrap |
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| 🧰 App | [Blah Blah Blah](/OS/BlahBlahBlah/README.md) | Abstract and paradox Q&A built on TXT OS |
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| 🧰 App | [Blur Blur Blur](/OS/BlurBlurBlur/README.md) | Text to image generation with semantic control |
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| 🏡 Onboarding | [Starter Village](/StarterVillage/README.md) | Guided entry point for new users |
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If this repository helped, starring it improves discovery so more builders can find the docs and tools.
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[](https://github.com/onestardao/WFGY)
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<!-- WFGY_FOOTER_END -->
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