microsoft/Building-AI-Agents-From-Zero-To-Production

agent-evaluation

Help a learner evaluate and observe an AI agent on Microsoft Foundry — quality/safety evaluators, tracing, and reading results. Use for Lesson 3 tasks: measuring agent performance, adding observability, or interpreting evaluation output.

لغة النص الأصلي: الإنجليزية

foundry-agent-basics

Help a learner build their first AI agent with the Microsoft Agent Framework (MAF) on Microsoft Foundry. Use when the task is creating a basic agent, wiring up FoundryChatClient, choosing a model, running the DevUI, or understanding lesson 1–2 concepts…

لغة النص الأصلي: الإنجليزية

hosted-agent-deployment

Help a learner deploy an agent to production as a Microsoft Foundry Hosted Agent, and decide when Capability Hosts are needed. Use for Lessons 4–5: hosted deployment, thread/memory persistence, bring-your-own storage, and enterprise governance.

لغة النص الأصلي: الإنجليزية

mcp-integration

Help a learner give an agent tools through the Model Context Protocol (MCP) — both client-side MCP and Foundry Hosted MCP tools. Use when connecting an agent to an MCP server (e.g. the GitHub MCP server), adding a remote tool, or reasoning about MCP…

لغة النص الأصلي: الإنجليزية

microsoft-toolbox

Help a learner use Microsoft Toolbox to define tools once and govern them centrally, then consume a toolbox from an agent through a single MCP endpoint. Use for Lesson 6 tasks: tool discovery, registration, governance, and versioning.

لغة النص الأصلي: الإنجليزية

multi-agent-a2a

Help a learner compose agents as networked services using the open Agent-to-Agent (A2A) protocol — expose an agent as an A2A server and consume a remote agent as a peer. Use for Lesson 7 tasks: multi-agent orchestration and A2A client/server wiring.

لغة النص الأصلي: الإنجليزية