I need your help creating an example with superagent-py and MiniAutoGen: Lightweight and Flexible Agents for Multi-Agent Chats
brunocapelao opened this issue · comments
🌐 Hello, amazing community!
I'm exploring the integration of two powerful libraries: MiniAutoGen and superagent-py, and I would greatly appreciate your help and insights!
MiniAutoGen is an innovative open-source library designed to take applications with Large Language Models (LLMs) to the next level. Its differentiators are its lightweight and flexible approach, which allows for a high degree of customization.
Here are some notable features of MiniAutoGen:
- Multi-Agent Dialogues: The ability to create complex and nuanced interactions with multiple intelligent agents operating together.
- Agent Coordination: A mechanism that ensures harmony and efficient management among the agents.
- Customizable Agents: Total freedom to shape agent behaviors according to project needs.
- Action Pipeline: Simplifies and automates agent operations, facilitating scalability and maintenance.
- Integration with +100 LLMs: Expanding conversational capabilities with over 100 LLMs for intelligent and contextualized responses.
My Challenge: I'm seeking help from the community to develop new integrations and modules.
I Seek Your Help: Do you have examples, tips, or guidance on how I can accomplish this integration? Any insight or shared experience would be extremely valuable!
Check out MiniAutoGen on Google Colab: MiniAutoGen on Google Colab
And here is the GitHub repository for more information: GitHub - brunocapelao/miniAutoGen
I'm looking forward to your ideas and suggestions. Let's shape the future of AI conversations together! 🌟
Hey! Sure we have examples. Could you share exactly what type of integration you have in mind?! Would be happy to help with this!