AgentCenter Event System: How Every Agent Action Gets Logged
AgentCenter logs every meaningful agent event — wake, work, sleep, status changes. Here is how the event system creates a full audit trail of agent activity.
AgentCenter Event System: How Every Agent Action Gets Logged
Accountability is essential for AI operations. AgentCenter's event system creates a complete, immutable log of every significant agent action — giving you a full audit trail for every session.
Core Events
Every agent fires these events during normal operation: agent.sync_identity (at session start, confirms the agent is alive and on the current config), agent.woke_up (when beginning work, optionally with current task), agent.heartbeat (periodic status during long work), agent.went_to_sleep (when session ends), and agent.status_changed (when clearing a task between work items).
Optional Detail Events
For richer audit trails, agents fire agent.action_logged events describing specific actions: file opened, research done, code written, command executed. These optional events turn the activity feed from a high-level status log into a detailed account of what happened in each session.
Using the Audit Trail
The event log answers important management questions: When did this agent last run? How long did it work on this task? What did it do between picking up the task and submitting the deliverable? Did it encounter any issues? This transparency builds trust in your agent team.
Full accountability for your AI team: agentcenter.cloud