Agent skill · DevOps & Cloud

agent-framework-azure-ai-py

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.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill agent-framework-azure-ai-py --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 10 KB
Bundled scripts: none
Path: skills/agent/agent-framework-azure-ai-py/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Agent Framework Azure Hosted Agents Build persistent agents on Azure AI Foundry using the Microsoft Agent Framework Python SDK. ## Architecture ``` User Query → AzureAIAgentsProvider → Azure AI Agent Service (Persistent) ↓ Agent.run() / Agent.run_stream() ↓ Tools: Functions | Hosted (Code/Search/Web) | MCP ↓ AgentThread (conversation persistence) ``` ## Installation ```bash # Full framework (recommended) pip install agent-framework --pre # Or Azure-specific package only pip install agent-framework-azure-ai --pre ``` ## Environment Variables ```bash export AZURE_AI_PROJECT_ENDPOINT="https://<project>.services.ai.azure.com/api/projects/<project-id>" export AZURE_AI_MODEL_DEPLOYMENT_NAME="gpt-4o-mini" export BING_CONNECTION_ID="your-bing-connection-id" # For web search ``` ## Authentication ```python from azure.identity.aio import AzureCliCredential, DefaultAzureCredential # Development credential = AzureCliCredential() # Production credential = DefaultAzureCredential() ``` ## Core Workflow ### Basic Agent ```python import asyncio from agent_framework.azure import AzureAIAgentsProvider from azure.identity.aio import AzureCliCredential async def main(): async with ( AzureCliCredentia

What's inside
Steps it walks through
  1. Architecture
  2. Installation
  3. Environment Variables
  4. Authentication
  5. Core Workflow
  6. Basic Agent
  7. Agent with Function Tools
  8. Agent with Hosted Tools
  9. Streaming Responses
  10. Conversation Threads
  11. Structured Outputs
  12. Provider Methods
  13. Hosted Tools Quick Reference
  14. Complete Example
Ships with 1 file
  • metadata.json
Commands it runs
Full framework (recommended)
pip install agent-framework --pre
Or Azure-specific package only
pip install agent-framework-azure-ai --pre
export AZURE_AI_PROJECT_ENDPOINT="https://<project>.services.ai.azure.com/api/projects/<project-id>"
export AZURE_AI_MODEL_DEPLOYMENT_NAME="gpt-4o-mini"
export BING_CONNECTION_ID="your-bing-connection-id"  # For web search
More from claude-skill-registry
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About this skill
What does the agent-framework-azure-ai-py skill do?

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.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill agent-framework-azure-ai-py --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going