AgentOps
Summary
The observability and DevTool platform for AI agents: session replays, cost and token tracking, and failure analysis via a lightweight SDK spanning the major agent frameworks.
Key Takeaways
- Session replay is the debugging primitive for agent runs
- Track cost per session from day one - it shapes design
Reliability Note
Official repository of an actively maintained product SDK.
Flows informed by this source
3
Observability for Agent Runs
Instrument your agent like production software: traces, session replay, cost tracking, and failure analysis on open standards.
+1 more steps to Done
Best forbuilders who have shipped a basic app before
Audit Trails for Tool Calls
Record an immutable, queryable trail of every action your agent takes - who, what, when, why, and outcome - for security and accountability.
+1 more steps to Done
Best forbuilders who have shipped a basic app before
Incident Response Runbook for Agent Mishaps
Prepare for the day your agent does damage: detection, containment, rollback, investigation, and prevention - written before you need it.
+1 more steps to Done
Best forbuilders who have shipped a basic app before