Debugging AI agents in production doesn't have to be a nightmare. Modern agentic systems require sophisticated monitoring beyond traditional logs, especially when models hallucinate or take unexpected reasoning paths. This comprehensive walkthrough demonstrates how Langfuse, the official observability solution within the ClickHouse ecosystem, transforms how developers debug and optimize their AI applications. Watch as we explore the complete lifecycle tracking capabilities that capture every request with structured, nested traces. You'll see how these visualizations reveal your agent's entire reasoning chain, including tool executions and database queries, giving you unprecedented visibility into what actually happened during each interaction. The demonstration covers essential production features like prompt version management, cross-provider token cost tracking, and innovative side-by-side evaluations that use production traces as integration tests. This creates a powerful feedback loop that moves teams beyond guesswork toward data-driven optimization. Learn how the ClickHouse-powered backend enables real-time analytics that can handle billions of records effortlessly, making enterprise-scale observability accessible to teams of any size. Whether you're building conversational AI, autonomous agents, or complex reasoning systems, this video shows practical approaches to gaining control over non-deterministic AI behavior. Discover how proper observability transforms AI development from reactive debugging to proactive optimization with the ClickHouse Observability Platform. This video was created with Ngram.