Pattern Proposal: Traceable Metric Telemetry

Summary

Capture execution spans, provenance references, and health scores alongside agent outputs for continuous evaluation.

Candidate Pattern

• ID: traceable-metric-telemetry
• Classification: intelligence
• Maturity: strategic_direction
• Type: emerging

Observed Signals

No specific signals listed.

Evidence

Supporting Evidence

• src/cas_runner/governance/models.py (TraceableMetric, GovernanceHealth) - Models encapsulating observable telemetry
• src/cas_runner/dashboard/health_model.py (calculate_health, HealthStatus) - Computes health status from runtime signals

Scope Assessment

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

Rationale

• Intent: Provide runtime visibility into agentic latency, token consumption, and governance health indicators.
• Context: Agent decisions need downstream evaluation by human architects and diagnostic dashboards.
• Force: Opaque agent failures make CI debugging difficult
• Force: Need quantitative health metrics to track architectural drift over time

Traceability

Artifact source: proposed-patterns