AutoGen is a framework for creating multi-agent AI applications that can act autonomously or work alongside humans.
# Install AgentChat and OpenAI client from Extensions
pip install "autogen-agentchat" "autogen-ext[openai]"The current stable version is v0.4. If you are upgrading from AutoGen v0.2, please refer to the Migration Guide for detailed instructions on how to update your code and configurations.
Create an assistant agent using OpenAI's GPT-4o model.
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
async def main() -> None:
agent = AssistantAgent("assistant", OpenAIChatCompletionClient(model="gpt-4o"))
print(agent.run(task="Say 'Hello World!'"))
asyncio.run(main())Create a group chat team with an assistant agent, a web surfer agent, and a user proxy agent for web browsing tasks. You need to install playwright.
# pip install autogen-agentchat autogen-ext[openai,web-surfer]
# playwright install
import asyncio
from autogen_agentchat.agents import AssistantAgent, UserProxyAgent
from autogen_agentchat.conditions import TextMentionTermination
from autogen_agentchat.teams import RoundRobinGroupChat
from autogen_agentchat.ui import Console
from autogen_ext.models.openai import OpenAIChatCompletionClient
from autogen_ext.agents.web_surfer import MultimodalWebSurfer
async def main() -> None:
model_client = OpenAIChatCompletionClient(model="gpt-4o")
assistant = AssistantAgent("assistant", model_client)
web_surfer = MultimodalWebSurfer("web_surfer", model_client)
user_proxy = UserProxyAgent("user_proxy")
termination = TextMentionTermination("exit") # Type 'exit' to end the conversation.
team = RoundRobinGroupChat([web_surfer, assistant, user_proxy], termination_condition=termination)
await Console(team.run_stream(task="Find information about AutoGen and write a short summary."))
asyncio.run(main())
The AutoGen ecosystem provides everything you need to create AI agents, especially multi-agent workflows -- framework, developer tools, and applications.
The framework uses a layered and extensible design. Layers have clearly divided responsibilities and build on top of layers below. This design enables you to use the framework at different levels of abstraction, from high-level APIs to low-level components.
- Core API implements message passing, event-driven agents, and local and distributed runtime for flexibility and power. It also support cross-language support for .NET and Python.
- AgentChat API implements a simpler but opinionated API rapid for prototyping. This API is built on top of the Core API and is closest to what users of v0.2 are familiar with and supports familiar multi-agent patterns such as two-agent chat or group chats.
- Extensions API enables first- and third-party extensions continuously expanding framework capabilities. It support specific implementation of LLM clients (e.g., OpenAI, AzureOpenAI), and capabilities such as code execution.
The ecosystem also supports two essential developer tools:
- AutoGen Studio provides a no-code GUI for building multi-agent applications.
- AutoGen Bench provides a benchmarking suite for evaluating agent performance.
You can use the AutoGen framework and developer tools to create applications for your domain. For example, Magentic-One is a state-of-art multi-agent team built using AgentChat API and Extensions API that can handle variety of tasks that require web browsing, code execution, and file handling.
With AutoGen you get to join and contribute to a thriving ecosystem. We host weekly office hours and talks with maintainers and community. We also have a Discord server for real-time chat, GitHub Discussions for Q&A, and a blog for tutorials and updates.
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*Releasing soon
Interested in contributing? See CONTRIBUTING.md for guidelines on how to get started. We welcome contributions of all kinds, including bug fixes, new features, and documentation improvements. Join our community and help us make AutoGen better!
Have questions? Check out our Frequently Asked Questions (FAQ) for answers to common queries. If you don't find what you're looking for, feel free to ask in our GitHub Discussions or join our Discord server for real-time support.
Microsoft and any contributors grant you a license to the Microsoft documentation and other content in this repository under the Creative Commons Attribution 4.0 International Public License, see the LICENSE file, and grant you a license to any code in the repository under the MIT License, see the LICENSE-CODE file.
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