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AlgoriAgent/examples/conversation_with_mentions/README.md

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+###
+# Multi-Agent Group Conversation in AgentScope
+
+This example demonstrates a multi-agent group conversation facilitated by AgentScope. The script sets up a virtual chat room where a user agent interacts with several NPC (non-player character) agents. Participants can utilize a special "@" mention functionality to address specific agents directly.
+
+## Background
+
+The conversation takes place in a simulated chat room environment with predefined roles for each participant. Topics are open-ended and evolve based on the user's input and agents' responses.
+
+## Tested Models
+
+These models are tested in this example. For other models, some modifications may be needed.
+- gemini_chat (models/gemini-pro, models/gemini-1.0-pro)
+- dashscope_chat (qwen-max, qwen-turbo)
+- ollama_chat (ollama_llama3_8b)
+
+## Prerequisites
+
+Fill the next cell to meet the following requirements:
+- Set your `api_key` in the `configs/model_configs.json` file
+- Optional: Launch agentscope gradio with `as_gradio main.py`
+
+## How to Use
+
+1. Run the script using the command: `python main.py`
+2. Address specific agents by typing "@" followed by the agent's name.
+3. Type "exit" to leave the chat.
+
+## Customization Options
+
+You can adjust the behavior and parameters of the NPC agents and conversation model by editing the `agent_configs.json` and `model_configs.json` files, respectively.
+
+### Changing User Input Time Limit
+
+Adjust the `USER_TIME_TO_SPEAK` variable in the `main.py` script to change the time limit for user input.
+###