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AlgoriAgent/examples/distributed_conversation/README.md

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+# Distributed Conversation
+
+This example will show
+- How to set up and run a distributed conversation.
+- How to configure and use different language models in the system.
+
+## Background
+
+This example demonstrates a distributed dialog system leveraging various language models. The system is designed to handle conversational AI tasks in a distributed manner, allowing for scalable and efficient dialog management.
+
+## Tested Models
+
+These models are tested in this example. For other models, some modifications may be needed.
+- Ollama Chat (llama3_8b)
+- Dashscope Chat (qwen-Max)
+- Gemini Chat (gemini-pro)
+
+## Prerequisites
+
+Before running the example, please install the distributed version of Agentscope, fill in your model configuration correctly in `configs/model_configs.json`, and modify the `model_config_name` field in `distributed_dialog.py` accordingly.
+
+## Running the Example
+Use the following command to start the assistant agent:
+
+```
+cd examples/distributed_basic
+python distributed_dialog.py --role assistant --assistant-host localhost --assistant-port 12010
+# Please make sure the port is available.
+# If the assistant agent and the user agent are started on different machines,
+# please fill in the ip address of the assistant agent in the host field
+```
+
+Then, run the user agent:
+
+```
+python distributed_dialog.py --role user --assistant-host localhost --assistant-port 12010
+# If the assistant agent is started on another machine,
+# please fill in the ip address of the assistant agent in the host field
+```
+
+Now, you can chat with the assistant agent using the command line.