In this comprehensive guide, we explore the advanced features of the Microsoft Agent Framework to help you build production-ready AI orchestrations. We start by breaking down Workflow Events, an event-based system that allows developers to monitor, debug, and dynamically control execution. You'll learn how to categorize these into lifecycle, super-step, and executor events for maximum observability. Next, we tackle Human-in-the-Loop (HITL). Using the request_info event, we demonstrate how to pause a workflow for manual approval (e.g., a refund request over $100) and resume it once external feedback is received. Finally, we dive into Checkpoints. Discover how to save the state of long-running workflows to a file or database, allowing you to "rehydrate" and resume execution even after a system crash or intentional pause. #azureai #agentframework