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conversational_agents/multiagent_conversation/README.md

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+# MultiAgent Conversation
+
+This example demonstrates how to build a multi-agent conversation workflow using ``MsgHub`` in AgentScope,
+where multiple agents broadcast messages to each other in a shared conversation space.
+
+## Setup
+
+The example is built upon the DashScope LLM API in [main.py](https://github.com/agentscope-ai/agentscope/blob/main/examples/workflows/multiagent_conversation/main.py). You can switch to other LLMs by modifying the ``model`` and ``formatter`` parameters in the code.
+
+To run the example, first install the latest version of AgentScope, then run:
+
+```bash
+python examples/workflows/multiagent_conversation/main.py
+```
+
+## Main Workflow
+
+- Create multiple participant agents with different attributes (e.g., Alice, Bob, Charlie).
+- Agents introduce themselves and interact in the message hub.
+- Supports dynamic addition and removal of agents, as well as broadcasting messages.
+
+> Note: The example is built with DashScope chat model. If you want to change the model in this example, don't forget
+> to change the formatter at the same time! The corresponding relationship between built-in models and formatters are
+> list in [our tutorial](https://doc.agentscope.io/tutorial/task_prompt.html#id1)