agent-framework-python

You can build multi-agent workflows in Python by using the Microsoft Agent Framework to design graph-based patterns. This connects executors through typed edges, managing state and orchestration across long-running, multi-turn conversations.

Yes, the Agent Framework supports Azure OpenAI integration. It enables connecting with Azure OpenAI and other providers to facilitate streaming responses and tool-based capabilities within production-grade applications.

Yes, you can add function tools and middleware to Python AI agents. The framework allows you to equip agents with custom tools and middleware to handle orchestration, state management, and logging.

The minimum requirement for the Agent Framework is Python 3.10 or higher. It enforces this version constraint to ensure production-ready implementations and includes code style references and samples.

Graph-based workflow patterns handle multi-turn conversations by connecting executors, such as agents and functions, through typed edges. This design ensures deterministic interactions and manages state across the workflow.

Yes, there are code samples and guidelines for building AI agents. The framework provides references, templates, and code style guidelines to accelerate adoption and maintain production-ready code quality.