AI agents are increasingly built with different frameworks and run across Azure, AWS, GCP, and private infrastructure. Yet the way an agent is authored and hosted—prompt-based, managed code, or self-hosted—changes who owns its runtime, deployment, state, and telemetry.

In this practical, demo-driven session, we compare four small agents: a prompt-only agent in Microsoft Foundry, a Microsoft Agent Framework agent hosted by Foundry, a self-hosted MAF agent, and a self-hosted LangChain/LangGraph agent. We examine how responsibilities shift between you and Foundry, and how OpenTelemetry standardizes telemetry from these different hosting models and brings it into a single observability experience through Azure Monitor and Microsoft Foundry.

You will leave with a clear mental model for choosing between prompt, hosted, and self-hosted agents—and for keeping their behavior observable in one place, wherever they run.

Format: Practical technical session with live demos and code walkthroughs.

Target audience: Developers, AI engineers, and software architects interested in agent hosting and observability.

Level: Intermediate (Level 200). Basic familiarity with AI agents and cloud concepts is helpful.

First public delivery: After Build TLV – Dev & AI Night, Tel Aviv, June 18, 2026.

Technical requirements: Stable internet connection for live cloud demos and a projector or large screen suitable for displaying code clearly.