Eval Observability — Regression Gate

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A structural safeguard that enforces measurable thresholds before any pipeline is promoted to production.
Use this page to define hard acceptance criteria (ΔS, coverage, λ, resonance) and stop silent regressions from shipping.

Why regression gates matter

Catch semantic drift early: A small rise in ΔS leads to compounding hallucinations downstream.
Stable releases: Prevents model upgrades or retraining from silently reducing accuracy.
Auditable rules: Clear thresholds mean every team member can verify before deploy.
Cross-stack consistency: Same rules apply across providers, retrievers, and orchestration layers.

Core gate thresholds

Metric	Requirement	Failure signal
ΔS(question, retrieved)	≤ 0.45	drift ≥ 0.60 means block release
Coverage of target section	≥ 0.70	low coverage = missing context
λ_observe	Convergent across 3 paraphrases, 2 seeds	divergence = unstable reasoning
E_resonance	Flat on 50–100 step windows	spikes = entropy collapse risk

Deployment checklist

Pre-release batch eval
Run gold set of ~100–500 Q&A pairs. Collect ΔS, coverage, λ, resonance.
Gate decision
- If ΔS ≤ 0.45 AND coverage ≥ 0.70 → pass.
- If ΔS between 0.46–0.59 → manual review.
- If ΔS ≥ 0.60 OR coverage < 0.70 → fail, block release.
Variance probe
Check λ stability across 3 paraphrases × 2 seeds. Divergence disqualifies release.
Regression log
Store results with index hash + commit hash + retriever config.
Enables reproducibility and rollback.

Example gating script (pseudo)

# regression_gate.yml
metrics:
  deltaS: <=0.45
  coverage: >=0.70
  lambda: convergent
  resonance: flat
goldset: eval_set_500.json
policy:
  fail_on_drift: true
  manual_review_range: [0.46, 0.59]
  require_seeds: 2
  require_paraphrases: 3

Common pitfalls

Changing retriever k without updating gates. Always re-test thresholds.
Skipping paraphrase probes. One stable query is not enough.
Not logging coverage. ΔS alone cannot prove retrieval completeness.
Silent config drift. Gate must bind to exact retriever + index hash.

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Tool	Link	3-Step Setup
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Explore More

Module	Description	Link
WFGY Core	Canonical framework entry point	View
Problem Map	Diagnostic map and navigation hub	View
Tension Universe Experiments	MVP experiment field	View
Recognition	Where WFGY is referenced or adopted	View
AI Guide	Anti-hallucination reading protocol for tools	View

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