Pattern Proposal: Telemetry-Grounded Health Observability

Summary

Computes composite governance health status and diagnostics by aggregating OpenTelemetry execution spans and traceable compliance metrics.

Candidate Pattern

• ID: telemetry-grounded-health-observability
• Classification: intelligence
• 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) - Calculates categorical health status from risk indicators.
• src/cas_runner/governance/models.py (TraceableMetric, GovernanceHealth, GovernanceRisks) - Encapsulates metric payloads with trace attribution.

Scope Assessment

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

Rationale

• Intent: Detect degradation in architectural compliance, error rates, or agent execution throughput over time.
• Context: Used in dashboard generation and health calculation routines in src/cas_runner/dashboard.
• Force: Silent drift in agent reasoning can compromise codebase quality without raising exceptions
• Force: Decision makers need an aggregated health indicator rather than thousands of raw trace events

Traceability

Artifact source: proposed-patterns