implement-agent-observability

Agent observability is the process of injecting trace IDs, token tracking, and structured logging into agent tool calls and state transitions. It enables effective production debugging by making non-deterministic behavior traceable.

To track API costs for autonomous agents, implement token counting and cost tracking across all tool calls and state transitions. This requires structured logging and trace IDs to accurately monitor variable API expenditures.

Detect infinite loops and hallucinated tool calls by implementing loop-detection mechanisms alongside trace logging. This identifies non-deterministic behavior where the agent repeats actions or makes invalid tool calls during production execution.

To enable agent observability, your autonomous agent must already have trace IDs and structured logging enabled. This prerequisite environment allows the injection of token tracking and loop-detection into state transitions and tool calls.

Implement trace logging and cost tracking before deploying any autonomous agent that could incur variable API costs. This ensures the agent is fully traceable and debuggable in production environments where non-deterministic behavior occurs.