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.
npx skills add majiayu000/claude-skill-registry --skill agent-framework-azure-ai-py-moonaxis-azure-stack --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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
- Architecture
- Installation
- Environment Variables
- Authentication
- Core Workflow
- Basic Agent
- Agent with Function Tools
- Agent with Hosted Tools
- Streaming Responses
- Conversation Threads
- Structured Outputs
- Provider Methods
- Hosted Tools Quick Reference
- Complete Example
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
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-moonaxis-azure-stack --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.