Pattern Proposal: Traceable Metric Evaluation Loop

Summary

Computes traceable compliance and health metrics during execution runs to monitor architectural health and guardrail violations.

Candidate Pattern

• ID: traceable-metric-evaluation-loop
• Classification: governance
• Maturity: established
• Type: implemented

Observed Signals

No specific signals listed.

Evidence

Supporting Evidence

• src/cas_runner/governance/compliance_engine.py (ComplianceEngine) - Evaluates compliance rules against runtime facts.
• src/cas_runner/governance/models.py (TraceableMetric, ComplianceFinding, ComplianceMetrics, GovernanceHealth) - Typed models representing quantitative governance and health metrics.
• src/cas_runner/dashboard/health_model.py (HealthStatus, calculate_health, get_health_reasons) - Calculates health categories and diagnoses underlying failure causes.

Scope Assessment

• Evidence Strength: high
• Confidence: high
• Applies to: ideas-to-life-cas

Rationale

• Intent: Quantify agent compliance, execution health, and architectural risk using structured, auditable metric models.
• Context: Continuous governance pipeline checking whether system state satisfies codified architectural principles.
• Force: Unstructured agent logs provide poor auditability and cannot trigger automated circuit breakers
• Force: Subjective or narrative evaluations cannot be reliably trended or visualized on dashboards

Traceability

Artifact source: proposed-patterns