Pattern Proposal: Telemetry-Grounded Runtime Tracing

Summary

Instruments agent step execution with OpenTelemetry spans and persists traceable performance metrics for evaluation.

Candidate Pattern

• ID: telemetry-grounded-runtime-tracing
• Classification: intelligence
• Maturity: strategic_direction
• Type: emerging

Observed Signals

No specific signals listed.

Evidence

Supporting Evidence

• pyproject.toml (opentelemetry-api, opentelemetry-sdk) - Declared OpenTelemetry tracing dependencies
• src/cas_runner/governance/models.py (TraceableMetric) - Model encapsulating timestamped, traceable metrics
• cas-knowledge/runtime/traces/ - Directory designated for runtime execution trace logs

Scope Assessment

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

Rationale

• Intent: Monitor agent performance, invocation costs, and latency across multi-step execution flows.
• Context: Integrated into dependencies (opentelemetry-api, opentelemetry-sdk) and persisted in cas-knowledge/runtime/traces/.
• Force: Opaque agent runs make latency bottlenecks and token cost spikes hard to diagnose
• Force: Multi-step agent pipelines need standardized span correlation

Traceability

Artifact source: proposed-patterns