Microsoft has recently articulated five fundamental principles for AI agent observability, aimed at bolstering controllability and safety during automated operations. These principles comprehensively cover real-time monitoring, process tracing, decision logging, quality assessment, and governance enforcement. These measures ensure that AI agents adhere to rigorous standards of quality, safety, and compliance throughout their entire lifecycle. Leveraging the Azure AI Foundry platform, along with integrations with GitHub Actions and Azure DevOps, developers can now automate evaluations and continuously refine agents. Additionally, the introduction of AI red team testing further fortifies system robustness, establishing a robust foundation for the evolution of AI applications.