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As LLM applications evolve into complex, multi-agent systems, traditional monitoring tools fall short in ensuring reliability and trust. In this session, Fiddler will introduce Agentic Observability—a new approach to debugging and monitoring production LLMs at scale. Drawing from real-world deployments across enterprise and federal teams, the talk will cover techniques for tracing agent reasoning, evaluating output quality with Fast Trust Models, and detecting behavioral shifts using statistical