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microsoft-foundry

Deploy, evaluate, and manage Azure AI Foundry agents end-to-end.

Updated Apr 10, 2026
Search Tags:#deployment#azure#agent#evaluation#trace#foundry
One-click install
npx skills add https://github.com/attentiondotnet/azure-skills --skill microsoft-foundry-attentiondotnet
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: microsoft-foundry
Source: https://github.com/attentiondotnet/azure-skills/tree/main/.github/plugins/azure-skills/skills/microsoft-foundry
Command: npx skills add https://github.com/attentiondotnet/azure-skills --skill microsoft-foundry-attentiondotnet

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Developers and ops teams often struggle to provision, deploy, monitor, and continuously improve Azure AI Foundry agents, requiring many manual steps across CLI, MCP tools, and project metadata.

Core Features & Use Cases

  • End‑to‑end agent lifecycle: create, deploy, invoke, evaluate, and troubleshoot agents in a single workflow.
  • Observability integration: automatically gathers traces, logs, and evaluation results to guide prompt optimization.
  • Multi‑layer deployment: supports prompt agents, hosted ACA agents, and vNext hosted agents with region and quota awareness.
  • Use case example: A support chatbot team can onboard a new agent, run batch evaluations, detect regressions, and redeploy with improved prompts without leaving the Azure portal.

Quick Start

Deploy a new Foundry agent named my‑agent and start it in the default project.

Frequently Asked Questions about microsoft-foundry

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate Azure AI Foundry agent deployment and lifecycle management?▼

Automate Azure AI Foundry agent deployment by orchestrating Azure CLI, MCP tools, and project metadata to create, deploy, invoke, and manage agents end-to-end across subscriptions without manual scripting.

What is the best way to evaluate and trace Azure AI Foundry agents?▼

Evaluate and trace Azure AI Foundry agents by automatically gathering observability data, logs, and evaluation results to detect regressions and guide prompt optimization during the agent lifecycle.

How do I deploy different types of Azure AI Foundry agents across regions?▼

Deploy multi-layer Azure AI Foundry agents including prompt agents, hosted ACA agents, and vNext hosted agents with region and quota awareness to ensure proper resource allocation across Azure projects.

Can I run batch evaluations on Azure AI Foundry agents to detect prompt regressions?▼

Run batch evaluations on Azure AI Foundry agents to detect regressions and redeploy with improved prompts, completing the entire workflow within a single automated lifecycle process.

What Azure prerequisites do I need to manage AI Foundry agents end-to-end?▼

Managing Azure AI Foundry agents requires an Azure subscription and project metadata to orchestrate Azure CLI and MCP tools for provisioning, deploying, and monitoring agents across your environment.

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