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Learn to build secure, observable, and scalable AI agents using open-source governance tools in this 30-minute conference talk. Discover how to develop agentic systems with LLMs and function calling while implementing robust governance frameworks through Unity Catalog AI (OSS) and MLflow. Explore practical techniques for applying access controls, function registration, and sandbox execution to ensure secure agent deployment. Master the implementation of comprehensive observability using MLflow Tracing to capture prompt logic, tool usage, and execution metadata for better system transparency. Gain insights into production-readiness strategies including fallback logic implementation, trace debugging methodologies, and techniques for achieving reproducible agent behavior. Understand how to create governed, transparent, and production-ready AI agents using entirely open-source tools and frameworks.
