Multi-Agent

Most AI agent tutorials end at “hello world.” You build a single agent with one or two tools, it answers a few questions, and that is it. The gap between that tutorial and a production system with multiple agents, authentication, observability, and a real frontend is enormous.

Revised with .NET examples — A newer version of this article, covering both Python and .NET, is available as part of the MAF v1: Python and .NET series: MAF v1 — 01-first-agent, MAF v1 — 02-add-tools.

Revised with .NET examples — A newer version of this article, covering both Python and .NET, is available as part of the MAF v1: Python and .NET series: MAF v1 — 14-handoff-orchestration, MAF v1 — Putting it all together (Ch21).

I was at Microsoft Ignite for the Foundry announcements, and the framing runs ahead of the substance. Microsoft rebranded most of its Azure AI stack as Microsoft Foundry: one PaaS spanning models, agents, tools, knowledge, and governance. Underneath the launch-day gloss, three things actually matter to anyone shipping enterprise agents.