How to use AgentOps to Track AI Agent Performance and Costs
Learn how to use AgentOps for full-stack observability of autonomous AI agents, including tool use and cost tracking.
Autonomous agents are "black boxes" that can perform hundreds of actions and run up massive bills in minutes. AgentOps provides the "dashboard" you need to see exactly what your agents are doing and why.
Visualizing the Agentic Loop
AgentOps records every tool call, every model interaction, and every decision made by your agents. You can replay an agent's session like a movie, seeing exactly where it got confused, where it wasted tokens, and which tools were most effective. this level of detail is essential for debugging agents that "hallucinate" in their planning phase.
Real-Time Cost Management
One of the biggest risks of agents is "infinite loops" that exhaust your API budget. AgentOps provides real-time cost tracking at the session and agent level. You can set up "kill switches" that automatically terminate an agent if it exceeds a certain cost or number of steps, protecting your bottom line while you iterate on your autonomous workflows.