ms-agent-framework-python

You build AI agents with Microsoft Agent Framework by installing the agent-framework package via pip, configuring API keys and endpoints, and using unified APIs to create agents and multi-agent workflows. The framework provides scripts and references to streamline development.

Yes, Microsoft Agent Framework supports Azure OpenAI and Azure AI Foundry clients, along with standard OpenAI. It enables agent creation and tool integration across these platforms using unified APIs.

The best way to orchestrate multi-agent workflows is using Microsoft Agent Framework, which supports graph-based workflows, advanced orchestration patterns, and human-in-the-loop interactions. It consolidates orchestration and observability into a single Python framework.

Yes, Microsoft Agent Framework integrates Function Tools, DevUI, and MCP to monitor and manage agent behavior. It provides advanced observability features to help developers debug and deploy AI agents in production scenarios.

Yes, you need to run pip install agent-framework --pre to install the framework. After installation, you configure environment variables for API keys and endpoints, then run the sample BasicAgent to see agent orchestration in action.

You use Microsoft Agent Framework to consolidate agent creation, tool integration, and observability into a single open-source toolkit. It uniquely supports graph-based workflows, multi-agent orchestration, and human-in-the-loop interactions across OpenAI and Azure clients.