Artificial intelligence agent observability collects structured traces, logs, metrics, status, tool calls, permission decisions, errors, and result evidence. It helps operators answer what the agent is doing, why work stopped, which resources were used, and whether the outcome satisfied the task.
Observability should retain actionable evidence while minimizing sensitive data. Missing telemetry must be reported as degraded visibility rather than interpreted as inactivity, and access to logs should follow the same privacy and authorization boundaries as the underlying work.
