strategies for agent observability (logging, tracing, metrics). Use this to instrument agents for debugging, performance tracking, and quality assurance.
Move beyond simple monitoring ("Is it running?") to deep observability ("How is it thinking?"), enabling the diagnosis of complex failures in non-deterministic systems.
Aggregated data points for tracking health over time. Separate these into two dashboards:
error=true), Token Consumption, and API Cost per Run.