use python3 instead of python

src/blog/werewolf/index.md

@@ -196,11 +196,11 @@ In another example, the true Seer solidified its intention of standing out again
 ## Code Running Guide
 
 ```shell
-python examples/werewolf_game/start_game.py # use default arguments
+python3 examples/werewolf_game/start_game.py # use default arguments
 ```
 
 ```shell
-python examples/werewolf_game/start_game.py \\
+python3 examples/werewolf_game/start_game.py \\
 --use_reflection True \\
 --use_experience False \\
 --use_memory_selection False \\

src/guide/faq.md

@@ -137,7 +137,7 @@ MetaGPT Community - The position of Chief Evangelist rotates on a monthly basis.
   Configuration instructions for SD Skills: The SD interface is currently deployed based on *https://github.com/AUTOMATIC1111/stable-diffusion-webui* \*\*For environmental configurations and model downloads, please refer to the aforementioned GitHub repository. To initiate the SD service that supports API calls, run the command specified in cmd with the parameter nowebui, i.e.,
 
   1. ```shell
-     python webui.py --enable-insecure-extension-access --port xxx --no-gradio-queue --nowebui
+     python3 webui.py --enable-insecure-extension-access --port xxx --no-gradio-queue --nowebui
      ```
 
   2. Once it runs without errors, the interface will be accessible after approximately 1 minute when the model finishes loading.

src/guide/getting-started.md

@@ -14,7 +14,7 @@ npm --version
 sudo npm install -g @mermaid-js/mermaid-cli
 
 # Step 2: Ensure that Python 3.9+ is installed on your system. You can check this by using:
-python --version
+python3 --version
 
 # Step 3: Clone the repository to your local machine, and install it.
 git clone https://github.com/geekan/metagpt

src/guide/tutorials/agent_101.md

@@ -45,6 +45,7 @@ In MetaGPT, class `Action` is the logical abstraction for an action. Users may u
 In our scenario, we define a `SimpleWriteCode` subclassed `Action`. Although it primarily acts as a wrapper around a prompt and the LLM call, we believe that this `Action` abstraction is more intuitive. In downstream and higher-level tasks, using it as a whole feels more natural than crafting a prompt and invoking the LLM separately, especially when viewed within the framework of an agent.
 
 ````python
+import re
 from metagpt.actions import Action
 
 class SimpleWriteCode(Action):
@@ -212,7 +213,7 @@ https://github.com/geekan/MetaGPT/blob/main/examples/build_customized_agent.py
 Run it with
 
 ```shell
-python examples/build_customized_agent.py --msg "write a function that calculates the product of a list"
+python3 examples/build_customized_agent.py --msg "write a function that calculates the product of a list"
 ```
 
 Or try it on Colab

src/guide/tutorials/human_engagement.md

@@ -34,7 +34,7 @@ https://github.com/geekan/MetaGPT/blob/main/examples/build_customized_multi_agen
 
 Run it with
 ```sh
-python examples/build_customized_multi_agents.py --add_human True
+python3 examples/build_customized_multi_agents.py --add_human True
 ```
 
 A sample interaction

src/guide/tutorials/multi_agent_101.md

@@ -201,7 +201,7 @@ https://github.com/geekan/MetaGPT/blob/main/examples/build_customized_multi_agen
 
 Run it with
 ```sh
-python examples/build_customized_multi_agents.py --idea "write a function that calculates the product of a list"
+python3 examples/build_customized_multi_agents.py --idea "write a function that calculates the product of a list"
 ```
 
 Or try it on Colab

src/guide/use_cases/agent/researcher.md

@@ -331,7 +331,7 @@ Additionally, the Researcher provides the following configurations:
 The `metagpt.roles.researcher` module provides a command-line interface for executing the functionalities of the Researcher. An example is as follows:
 
 ```bash
-python -m metagpt.roles.researcher "dataiku vs. datarobot"
+python3 -m metagpt.roles.researcher "dataiku vs. datarobot"
 ```
 Log output: [log.txt](https://github.com/geekan/MetaGPT/files/12302886/log.txt)
 Report output: [dataiku vs. datarobot.md](https://github.com/geekan/MetaGPT/files/12302882/dataiku.vs.datarobot.md)

src/guide/use_cases/multi_agent/debate.md

@@ -169,7 +169,7 @@ https://github.com/geekan/MetaGPT/blob/main/examples/debate.py
 
 Run it with
 ```sh
-python examples/debate.py --idea "Talk about how the U.S. should respond to climate change"
+python3 examples/debate.py --idea "Talk about how the U.S. should respond to climate change"
 ```
 A sample run
 

src/zhcn/guide/tutorials/agent_101.md

@@ -193,7 +193,7 @@ https://github.com/geekan/MetaGPT/blob/main/examples/build_customized_agent.py
 
 通过以下命令运行：
 ```shell
-python examples/build_customized_agent.py --msg "write a function that calculates the sum of a list"
+python3 examples/build_customized_agent.py --msg "write a function that calculates the sum of a list"
 ```
 
 或在Colab上运行

src/zhcn/guide/tutorials/human_engagement.md

@@ -34,7 +34,7 @@ https://github.com/geekan/MetaGPT/blob/main/examples/build_customized_multi_agen
 
 使用以下命令运行
 ```sh
-python examples/build_customized_multi_agents.py --add_human True
+python3 examples/build_customized_multi_agents.py --add_human True
 ```
 
 一个交互示例

src/zhcn/guide/tutorials/multi_agent_101.md

@@ -205,7 +205,7 @@ https://github.com/geekan/MetaGPT/blob/main/examples/build_customized_multi_agen
 
 使用以下命令运行：
 ```sh
-python examples/build_customized_multi_agents.py --idea "write a function that calculates the product of a list"
+python3 examples/build_customized_multi_agents.py --idea "write a function that calculates the product of a list"
 ```
 
 或在Colab上运行

src/zhcn/guide/use_cases/agent/researcher.md

@@ -325,7 +325,7 @@ class Researcher(Role):
 `metagpt.roles.researcher`提供了命令行用于执行Researcher的功能，示例如下：
 
 ```bash
-python -m metagpt.roles.researcher "dataiku vs. datarobot"
+python3 -m metagpt.roles.researcher "dataiku vs. datarobot"
 ```
 
 输出日志：[log.txt](https://github.com/geekan/MetaGPT/files/12302886/log.txt)

src/zhcn/guide/use_cases/multi_agent/debate.md

@@ -167,7 +167,7 @@ https://github.com/geekan/MetaGPT/blob/main/examples/debate.py
 
 运行以下命令：
 ```sh
-python examples/debate.py --idea "Talk about how the U.S. should respond to climate change"
+python3 examples/debate.py --idea "Talk about how the U.S. should respond to climate change"
 ```
 运行结果如下：