chore: remove requirements.txt

docs/en/deploy/langbot/manual.md

@@ -21,13 +21,6 @@ git clone https://github.com/RockChinQ/LangBot
 cd LangBot
 ```
 
-If you are in mainland China, you can clone from the [GitCode mirror](https://gitcode.com/RockChinQ/LangBot):
-
-```bash
-git clone https://gitcode.com/RockChinQ/LangBot
-cd LangBot
-```
-
 Then manually build the frontend:
 
 ```bash
@@ -39,31 +32,19 @@ cd ..
 
 :::
 
-2. (Recommended) Create a virtual environment
+2. Install dependencies
 
-On some Linux systems that use system package managers to manage Python dependencies, dependency conflicts may occur, so please use venv to create a virtual environment. Windows users can skip this step.
+We use uv to manage dependencies.
 
 ```bash
-python -m venv venv
-source venv/bin/activate
+pip install uv
+uv sync
 ```
 
-3. Install dependencies
+3. Run the main program once to generate configuration files
 
 ```bash
-pip install -r requirements.txt
-```
-
-Or use Tsinghua mirror
-
-```bash
-pip install -r requirements.txt -i https://pypi.tuna.tsinghua.edu.cn/simple 
-```
-
-4. Run the main program once to generate configuration files
-
-```bash
-python main.py
+uv run main.py
 ```
 
 You will see the following message:
@@ -83,4 +64,4 @@ The following files do not exist and have been automatically generated. Please m
 ...
 ```
 
-You can now use Ctrl+C to exit the program and continue to the [Deploy Message Platform](/en/deploy/platforms/readme) page.
+You can now use Ctrl+C to exit the program and continue to the [Deploy Bots](/en/deploy/platforms/readme) page.

docs/en/develop/dev-config.md

@@ -8,16 +8,17 @@ LangBot is divided into frontend and backend. The frontend is developed using Ne
 
 The code is located in the `pkg` directory and is started by the `main.py` file in the root directory.
 
-Install dependencies
+Install dependencies, we use uv to manage dependencies.
 
 ```bash
-pip install -r requirements.txt
+pip install uv
+uv sync
 ```
 
 Start the backend
 
 ```bash
-python main.py
+uv run main.py
 ```
 
 At this point, the configuration file will be automatically generated in the `data/config.yaml` file.

docs/zh/deploy/langbot/manual.md

@@ -40,31 +40,26 @@ cd ..
 
 :::
 
-2. （建议）创建虚拟环境
+2. 安装依赖
 
-在一些使用系统包管理器管理 Python 依赖的 Linux 系统上，可能会出现依赖冲突，故请使用 venv 创建虚拟环境。Windows 用户可以跳过此步骤。
+我们使用 uv 管理依赖。
 
 ```bash
-python -m venv venv
-source venv/bin/activate
-```
-
-3. 安装依赖
-
-```bash
-pip install -r requirements.txt
+pip install uv
+uv sync
 ```
 
 或者使用清华源
 
 ```bash
-pip install -r requirements.txt -i https://pypi.tuna.tsinghua.edu.cn/simple 
+pip install uv -i https://pypi.tuna.tsinghua.edu.cn/simple
+uv sync
 ```
 
-4. 运行一次主程序，生成配置文件
+3. 运行一次主程序，生成配置文件
 
 ```bash
-python main.py
+uv run main.py
 ```
 
 提示如下信息
@@ -84,4 +79,4 @@ python main.py
 ...
 ```
 
-接下来可以使用 Ctrl+C 退出程序，继续查看[部署消息平台](/zh/deploy/platforms/readme)页。
+接下来可以使用 Ctrl+C 退出程序，继续查看[部署机器人](/zh/deploy/platforms/readme)页。

docs/zh/develop/dev-config.md

@@ -8,16 +8,17 @@ LangBot 分为前端和后端，前端使用 Next.js + shadcn 开发，后端通
 
 代码位于 `pkg` 目录下，由根目录的 `main.py` 文件引导启动。  
 
-安装依赖
+安装依赖，我们使用 uv 管理依赖。
 
 ```bash
-pip install -r requirements.txt
+pip install uv
+uv sync
 ```
 
 启动后端
 
 ```bash
-python main.py
+uv run main.py
 ```
 
 此时配置文件会自动生成到 `data/config.yaml` 文件中。