Localized reading guide

agent-framework-azure-ai-pyPurpose, usage and source

Build Azure AI Foundry agents using the Microsoft Agent Framework Python SDK (agent-framework-azure-ai). Use when creating persistent agents with AzureAIAgentsProvider, using hosted tools (code interpreter, file search, web search), integrating MCP servers, managing conversation threads, or implementing streaming responses. Covers function tools, structured outputs, and multi-tool agents.

Source retrieved: 2026-10-29

Source repository: microsoft/skills
SKILL.md: .github/plugins/azure-sdk-python/skills/agent-framework-azure-ai-py/SKILL.md
Repository stars: 3,157
Repository updated: 2026-10-31
Categories: Cloud
Last collected: 2026-10-31 10:38 UTC+08:00

License: MIT

Source SKILL.md

Workflow excerpts are reading aids, not executable instructions from Codez. No third-party Skill was run to produce this page.

The purpose and workflow passages below are upstream material, organized and translated for reading. They are distinct from the separately labeled Codez editorial analysis.

What this Skill does

How the upstream workflow works

Agent Framework Azure Hosted Agents

Build persistent agents on Azure AI Foundry using the Microsoft Agent Framework Python SDK.

Upstream passage · L11 ↗

Authentication & Lifecycle

> 🔑 Two rules apply to every code sample below: > > 1. It works locally (Azure CLI / VS Code / Developer CLI) and in Azure (managed identity, workload identity) with no code change.

Upstream passage · L46 ↗

Conventions

Always use async context managers: async with provider: Pass functions directly to tools= parameter (auto-converted to AIFunction)

Upstream passage · L340 ↗

Upstream passage · ↗

User Query → AzureAIAgentsProvider → Azure AI Agent Service (Persistent)
                    ↓
              Agent.run() / Agent.run_stream()
                    ↓
              Tools: Functions | Hosted (Code/Search/Web) | MCP
                    ↓
              AgentThread (conversation persistence)

Requirements and setup

No short requirements passage was selected from this file. This does not mean the Skill has no dependencies. Check the repository setup instructions and referenced files.

Limits and quality checks

No separate limits passage was selected from this file. This does not mean the Skill is safe for every input or environment. Review the complete source and validate your own result.

Start with a safe trial

Check the supported host and the repository installation instructions. Keep the Skill directory and its referenced scripts, assets and documentation together; SKILL.md alone may omit dependencies.
Give the agent your real input, desired output and acceptance criteria. Invocation syntax and available tools depend on the host; this site does not assume a universal install command.
Try the source workflow in a disposable project or on a copy. Review operations that change files, remote services or billable resources before allowing them.
Validate the output against the source quality checks and your own requirements. A successful trigger or a high repository Star count does not establish a correct result.

Skill format and directory specification ↗

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Translation and scope

This reading guide selects passages from the pinned upstream SKILL.md. Translation is assisted. It is not a complete manual or a claim of tested compatibility. Read the original and its referenced files before use.

This introduction refers to the pinned version below; current repository activity and collection time are shown separately.

Pinned source: Read the original ↗
Source retrieved: 2026-10-29T09:32:23Z
Source commit: 00d66a64919edca5bca2c673373444e36a4b5461
Source SHA-256: d79a8fefd6753474846e72b926437d7bbcddef5cd3f4fb89fb7c03f38ac4434e

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