Pattern Proposal: Health-Model Observability Guardrail

Summary

Computes deterministic health scores and categorical risk indicators from agent execution outputs and governance inventories.

Candidate Pattern

• ID: health-model-observability-guardrail
• Classification: governance
• Maturity: established
• Type: implemented

Observed Signals

No specific signals listed.

Evidence

Supporting Evidence

• src/cas_runner/dashboard/health_model.py (HealthStatus, calculate_health, get_health_reasons) - Implements deterministic risk and health evaluations
• src/cas_runner/governance/models.py (GovernanceHealth, GovernanceRisks) - Encapsulates health and risk metrics

Scope Assessment

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

Rationale

• Intent: Detect system degradation, governance drift, and agent performance regressions via objective scoring.
• Context: Dashboard and reporting modules reviewing repository and runner health.
• Force: Agentic systems can degrade quietly through subtle drift in decisions
• Force: Teams need high-level status indicators (green/amber/red) derived from telemetry

Traceability

Artifact source: proposed-patterns