AgentOps
AgentOps is a developer platform for monitoring, debugging, and optimizing AI agent applications in production
About AgentOps
AgentOps is a developer platform for monitoring, debugging, and optimizing AI agent applications in production. It provides session replay, LLM cost tracking, error analysis, and performance dashboards for agents built with frameworks like AutoGen, CrewAI, LangChain, and custom Python code. Developers can replay any agent session step-by-step to understand why an agent failed or made unexpected decisions. AgentOps tracks every LLM call, tool use, and state change with nanosecond precision, making it possible to diagnose issues that are invisible in traditional logging systems. The platform integrates with a single decorator or SDK call, requiring minimal code changes to instrument existing agents.
Pros
- Framework-agnostic with minimal integration effort
- Session replay enables precise agent debugging
- Detailed cost tracking per agent run
Cons
- Free tier event limits reached quickly in production
- Dashboard still maturing with occasional missing features