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# Eval Observability — Metrics and Logging
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 0.450.60, 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 50100 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 3090 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) | 1⃣ Download · 2⃣ Upload to your LLM · 3⃣ Ask “Answer using WFGY + \<your question>” |
| **TXT OS (plain-text OS)** | [TXTOS.txt](https://github.com/onestardao/WFGY/blob/main/OS/TXTOS.txt) | 1⃣ Download · 2⃣ Paste into any LLM chat · 3⃣ Type “hello world” — OS boots instantly |
---
### 🧭 Explore More
| Module | Description | Link |
| ------------------------ | ---------------------------------------------------------------------------- | -------------------------------------------------------------------------------------------------- |
| 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) |
| Problem Map 1.0 | Initial 16-mode diagnostic and symbolic fix framework | [View →](https://github.com/onestardao/WFGY/tree/main/ProblemMap/README.md) |
| 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) |
| Semantic Clinic Index | Expanded failure catalog: prompt injection, memory bugs, logic drift | [View →](https://github.com/onestardao/WFGY/blob/main/ProblemMap/SemanticClinicIndex.md) |
| Semantic Blueprint | Layer-based symbolic reasoning & semantic modulations | [View →](https://github.com/onestardao/WFGY/tree/main/SemanticBlueprint/README.md) |
| 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) |
| 🧙‍♂️ 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) |
---
> 👑 **Early Stargazers: [See the Hall of Fame](https://github.com/onestardao/WFGY/tree/main/stargazers)**
> Engineers, hackers, and open source builders who supported WFGY from day one.
> <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).
<div align="center">
[![WFGY Main](https://img.shields.io/badge/WFGY-Main-red?style=flat-square)](https://github.com/onestardao/WFGY)
 
[![TXT OS](https://img.shields.io/badge/TXT%20OS-Reasoning%20OS-orange?style=flat-square)](https://github.com/onestardao/WFGY/tree/main/OS)
 
[![Blah](https://img.shields.io/badge/Blah-Semantic%20Embed-yellow?style=flat-square)](https://github.com/onestardao/WFGY/tree/main/OS/BlahBlahBlah)
 
[![Blot](https://img.shields.io/badge/Blot-Persona%20Core-green?style=flat-square)](https://github.com/onestardao/WFGY/tree/main/OS/BlotBlotBlot)
 
[![Bloc](https://img.shields.io/badge/Bloc-Reasoning%20Compiler-blue?style=flat-square)](https://github.com/onestardao/WFGY/tree/main/OS/BlocBlocBloc)
 
[![Blur](https://img.shields.io/badge/Blur-Text2Image%20Engine-navy?style=flat-square)](https://github.com/onestardao/WFGY/tree/main/OS/BlurBlurBlur)
 
[![Blow](https://img.shields.io/badge/Blow-Game%20Logic-purple?style=flat-square)](https://github.com/onestardao/WFGY/tree/main/OS/BlowBlowBlow)
 
</div>