AgentOps: The Next Evolution of DevOps for AI Introduction DevOps has revolutionized software delivery by making deployment, monitoring, and feedback continuous. However, AI-driven systems are pushing those practices into new territory. Once applications start using Large Language Models (LLMs), retrieval pipelines, tool-calling workflows, and autonomous agents, classic DevOps is no longer enough. The Problem with Traditional DevOps Traditional DevOps focuses on deploying code, but with AI-driven systems, you're not just deploying code - you're operating behavior. This means that the traditional DevOps practices of deployment, monitoring, and feedback need to be reevaluated and expanded upon. What's Missing in Traditional DevOps? Behavioral Understanding : With AI-driven systems, it's essential to understand the behavior of the system, not just the code. Autonomous Decision-Making : Autonomous agents make decisions based on data, which requires a different approach to monitoring and feedback.…