This Jupyter Notebook demonstrates how to use the GPTAssistantAgent in AutoGen's group chat mode, enabling collaborative task performance through automated chat with agents powered by LLMs, tools, or humans.
Custom Speaker Selection Function
Explore the utilization of large language models in automated group chat scenarios, where agents perform tasks collectively, demonstrating how they can be configured, interact with each other, and retrieve specific information from external resources.
Explore a group chat example using agents such as a coder and visualization agent.
Introduce Group Chat with Customized Speaker Selection Method
Implement and manage a multi-agent chat system using AutoGen, where AI assistants retrieve information, generate code, and interact collaboratively to solve complex tasks, especially in areas not covered by their training data.
Use JSON mode and Agent Descriptions to mitigate prompt manipulation and control speaker transition.
Perform research using a group chat with a number of specialized agents
Resume Group Chat
StateFlow: Build Workflows through State-Oriented Actions
Custom Speaker Selection Function