Start shipping production systems.
Trace AI Agents in Production
Once agents run on their own, the question is what they did while nobody was watching. Most teams find out from a user's complaint or the month's invoice. Live, I trace every agent run in Langfuse, build a dashboard of cost, latency and failures per agent and per customer, and alert on Telegram when one goes over budget. Part 7 of 7 in the Agentic AI Systems series.
This session is hosted on Maven. Register at https://maven.com/p/0d243c to get the Zoom link.
What you will leave with
Trace every step an agent takes: Each model call, tool call and approval in one trace, linked to its user.
Track cost, latency and failures per agent: See which agent, and which customer, costs what.
Alert before an agent blows its budget: A limit per agent that pings you on Telegram.
Join this free live lesson to build an AI agent dashboard with Langfuse, then deploy the whole system in the Deploy AI Agents to Production workshop.
Start shipping production systems.