conversation_self_organizing

Self-Organizing Conversation Example

This example will show

• How to set up a self-organizing conversation using the DialogAgent and agent_builder
• How to extract the discussion scenario and participant agents from the agent_builder's response
• How to conduct a multi-round discussion among the participant agents

Background

In this example, we demonstrate how to create a self-organizing conversation where the agent_builder automatically sets up the agents participating in the discussion based on a given question. The agent_builder provides the discussion scenario and the characteristics of the participant agents. The participant agents then engage in a multi-round discussion to solve the given question.

Tested Models

These models are tested in this example. For other models, some modifications may be needed.

• dashscope_chat with qwen-turbo
• ollama_chat with llama3_8b
• gemini_chat with models/gemini-1.0-pro-latest

Prerequisites

Fill the next cell to meet the following requirements

• Set up the model_configs with the appropriate API keys and endpoints
• Provide the path to the agent_builder_instruct.txt file in the load_txt function
• Set the desired max_round for the discussion
• Provide the query or question for the discussion
• [Optional] Adjust the generate_args such as temperature for the openai_chat model