# Eval Observability — Alerting and Probes
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> - [**Eval_Observability** — evaluation metrics and system observability](./README.md)
> - [**WFGY Global Fix Map** — main Emergency Room, 300+ structured fixes](../README.md)
> - [**WFGY Problem Map 1.0** — 16 reproducible failure modes](../../README.md)
>
> 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 live guardrail system that detects semantic drift, retrieval collapse, and logic instability in production.
Use this page to design **continuous probes** (ΔS, λ, coverage, resonance) and trigger alerts before users see failures.
---
## Why probes are required
- **Silent regressions**: Models may degrade gradually after retraining or infra changes.
- **Runtime entropy**: Long chains often destabilize after 25–40 steps.
- **Hybrid stack drift**: Store upgrades, reranker weights, or tokenizer shifts silently change outcomes.
- **Auditability**: Real-time probes make every failure reproducible.
---
## Core probe dimensions
| Metric | Probe type | Alert condition |
|--------|------------|-----------------|
| ΔS(question, retrieved) | per-query | ≥ 0.60 for any query OR average >0.50 across batch |
| Coverage of target section | per-query | < 0.70 for more than 5% of batch |
| λ_observe | rolling window | divergence observed across 2 seeds or paraphrases |
| E_resonance | sliding horizon | spikes or oscillations in 50–100 step runs |
---
## Recommended probe architecture
1. **Pre-query probe**
Check retriever config hash, index hash, analyzer type.
Block if mismatched against gold baseline.
2. **Mid-query probe**
During retrieval, compute ΔS(question, retrieved).
Attach snippet IDs and offsets for traceability.
3. **Post-query probe**
Run λ stability check across 3 paraphrases.
If divergent, tag output with `unstable=true`.
4. **Long-chain probe**
For conversations >25 steps, sample entropy and E_resonance every 10 steps.
Trigger backoff or memory split if instability rises.
---
## Alerting routes
- **Slack / Teams** → Send structured JSON logs with ΔS, λ, coverage, index hash, retriever config.
- **PagerDuty** → Trigger incidents only when threshold failures exceed N in M minutes.
- **Dashboards** → Grafana/Datadog with ΔS trend lines, λ variance plots, coverage histograms.
- **Audit store** → Write all probe outputs to KV or DB keyed by `(session_id, index_hash, retriever_config)`.
---
## Example probe config (YAML)
```yaml
probes:
deltaS:
threshold: 0.60
action: alert
coverage:
threshold: 0.70
tolerance: 0.05
lambda:
seeds: 2
paraphrases: 3
action: block
resonance:
horizon: 100
action: degrade_notice
alerting:
sink:
- slack
- pagerduty
- grafana
````
---
## Common mistakes
* **Only probing ΔS**. Always include coverage + λ + resonance.
* **Static thresholds**. Thresholds must be tested against gold sets and updated quarterly.
* **No audit linkage**. Alerts without index hash and retriever config cannot be replayed.
* **Flooding alerts**. Use capped retries and aggregate rules to avoid pager fatigue.
---
### 🔗 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
| 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.
> 
⭐ [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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