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AlgoriAgent/examples/conversation_self_organizing/README.md

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+# 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