You don’t know what your agent will do until it’s in production

1. 1Identify key metrics to monitor in agent conversations
2. 2Develop methods to scale evaluation of agent performance
3. 3Analyze production traces to inform continuous improvement

AI engineers and DevOps teams benefit from understanding how to monitor and improve agent performance in production, as it directly impacts the reliability and efficiency of their systems

💡 Traditional software monitoring approaches don't work for agents due to their non-deterministic nature

🤖 Agents in production: unpredictable behavior requires new monitoring strategies