AgentOps

An operational layer for managing AI agents, covering the tracing of action trajectories, tool calls, plans, errors, memory, delegation, and costs. It is a natural extension of LLMOps: an agent does not generate a single response but executes a multi-step sequence of actions that must be monitored and accounted for.