What problem does it solve?
Building robust, production-ready AI agents and multi-agent systems can be complex, requiring integration of various LLM providers, tool calling, and sophisticated orchestration. This skill simplifies that by providing a unified framework for Python developers.
Core Features & Use Cases
- Unified Agent Development: Build diverse AI agents (chat, code, ReAct) with support for Azure OpenAI, Azure AI, and other LLM providers.
- Multi-Agent Orchestration: Design complex workflows with sequential, concurrent, group chat, and graph-based patterns, including checkpointing and human-in-the-loop.
- Tool Calling & Integration: Seamlessly integrate Python functions as tools for agents to interact with external systems, databases, and APIs.
- Use Case: Imagine you need to build an AI system that researches a topic, writes an article, and then reviews it. This skill allows you to orchestrate a "Researcher," "Writer," and "Reviewer" agent to collaborate on this task, ensuring a high-quality output with minimal manual oversight.
Quick Start
Use the ms-agent-framework skill to create a Python ChatAgent that uses Azure OpenAI and is instructed to be a helpful assistant. Then, ask it "What is the capital of France?".