Reformat the README file of the example distributed_basic (modelsco…

…pe#277)

README.md

@@ -151,7 +151,7 @@ the following libraries.
   - [Werewolf](https://github.com/modelscope/agentscope/blob/main/examples/game_werewolf)
 
 - Distribution
-  - [Distributed Conversation](https://github.com/modelscope/agentscope/blob/main/examples/distributed_basic)
+  - [Distributed Conversation](https://github.com/modelscope/agentscope/blob/main/examples/distributed_conversation)
   - [Distributed Debate](https://github.com/modelscope/agentscope/blob/main/examples/distributed_debate)
   - [Distributed Parallel Search](https://github.com/modelscope/agentscope/blob/main/examples/distributed_search)
   - [Distributed Large Scale Simulation](https://github.com/modelscope/agentscope/blob/main/examples/distributed_simulation)

README_ZH.md

@@ -134,7 +134,7 @@ AgentScope支持使用以下库快速部署本地模型服务。
   - [狼人杀](./examples/game_werewolf)
 
 - 分布式
-  - [分布式对话](./examples/distributed_basic)
+  - [分布式对话](./examples/distributed_conversation)
   - [分布式辩论](./examples/distributed_debate)
   - [分布式并行搜索](./examples/distributed_search)
   - [分布式大规模仿真](./examples/distributed_simulation)

examples/distributed_basic/README.md → examples/distributed_conversation/README.md

@@ -1,10 +1,26 @@
-# Distributed Basic
+# Distributed Conversation
 
-This example run a assistant agent and a user agent as separate processes and use rpc to communicate between them.
+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.
 
-Then, use the following command to start the assistant agent.
+## Running the Example
+Use the following command to start the assistant agent:
 
 ```
 cd examples/distributed_basic
@@ -14,12 +30,12 @@ python distributed_dialog.py --role assistant --assistant-host localhost --assis
 # please fill in the ip address of the assistant agent in the host field
 ```
 
-Then, run the user agent.
+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.
+Now, you can chat with the assistant agent using the command line.