agent-framework

To build multi-agent workflows in Python, you can use the Microsoft Agent Framework SDK to scaffold agents and orchestrate their interactions. This supports designing intricate patterns where multiple agents interact to accomplish complex tasks.

Yes, you can host an AI agent as an HTTP server and debug it locally. The framework supports HTTP server mode and includes local debugging configurations specifically integrated with VSCode.

The best way to orchestrate multiple AI agents for customer support is using a multi-agent workflow pattern. You can configure one agent to handle queries, another to retrieve knowledge base information, and a third to formulate responses.

Yes, the Microsoft Agent Framework SDK supports tool integration for single-agent setups. It provides agent scaffolding to quickly set up new AI agents with the necessary tools and configurations required for your application.

You use an agent orchestration framework to address the need for structured agent development and complex orchestration logic. It streamlines creating sophisticated AI applications and multi-agent workflows efficiently.

Scaffolding AI agents for multi-agent workflows requires managing complex orchestration logic and tool integration. Limitations generally depend on your ability to structure interactions between multiple interacting agents within the Python SDK constraints.