feat: 2602 agent workflow metrics 2#3491
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Add comprehensive OpenTelemetry-based metrics for agent observability: - Workflow completion/failure tracking with duration measurements - Step execution counters for performance monitoring - Tool usage tracking with normalized tool names - Non-blocking telemetry emission with named async tasks - Comprehensive unit and integration test coverage - Graceful handling when telemetry is disabled
- simplified test to use telemetry.query_metrics for verification - test now validates actual queryable metrics data - verified by query metrics functionality added in llamastack#3074
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cc: @cdoern please review as you had developed query metrics and we thought of using that to test the metrics. Thanks! |
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What does this PR do?
Adds workflow metrics tracking to the agent system to monitor performance and usage patterns. The implementation
tracks step execution, workflow completion times, and tool usage with proper telemetry integration.
The metrics provide visibility into agent behavior and can be queried using the telemetry system. Tool names are
normalized for consistency (knowledge_search becomes rag).
Closes #2602
Test Plan
Integration Test:
LLAMA_STACK_CONFIG="http://localhost:8321" python -m pytest tests/integration/agents/test_agent_metrics_integratio n.py::TestAgentMetricsIntegration::test_agent_metrics_end_to_end -vvalidating:
Verifies metrics are properly collected and queryable, building on query functionality from #3074.
Please Note: Most of the code was reviewed in #2993 but we wanted to test the metrics using query_metrics from #3074 and I was focusing more on higher priory items. So I created this PR for easier reviews as commits were many and was not easy to follow.