AgentOps is an observability and evaluation platform for AI agents that provides comprehensive monitoring, debugging, and performance analytics for LLM-powered applications in production. It captures detailed traces of every agent action, tool call, and LLM interaction — making it possible to debug complex multi-step agent failures that are otherwise nearly impossible to trace. AI engineering teams building autonomous agents with frameworks like LangChain, CrewAI, and AutoGen use AgentOps to understand agent behavior, optimize token costs, catch failures before users do, and continuously improve agent reliability through production insights.