Add PyPI installation documentation

- Created PYPI_INSTALLATION.md with detailed installation and usage instructions
- Updated README.md to feature uvx/pip installation as recommended method
- Updated README_EN.md with same changes for English documentation

Co-authored-by: RockChinQ <45992437+RockChinQ@users.noreply.github.com>

README.md

@@ -31,6 +31,25 @@ LangBot 是一个开源的大语言模型原生即时通信机器人开发平台
 
 ## 📦 开始使用
 
+#### 快速体验（推荐）
+
+使用 `uvx` 一键启动（无需安装）：
+
+```bash
+uvx langbot
+```
+
+或使用 `pip` 安装后运行：
+
+```bash
+pip install langbot
+langbot
+```
+
+访问 http://localhost:5300 即可开始使用。
+
+详细文档[PyPI 安装](docs/PYPI_INSTALLATION.md)。
+
 #### Docker Compose 部署
 
 ```bash

README_EN.md

@@ -25,6 +25,25 @@ LangBot is an open-source LLM native instant messaging robot development platfor
 
 ## 📦 Getting Started
 
+#### Quick Start (Recommended)
+
+Use `uvx` to start with one command (no installation required):
+
+```bash
+uvx langbot
+```
+
+Or install with `pip` and run:
+
+```bash
+pip install langbot
+langbot
+```
+
+Visit http://localhost:5300 to start using it.
+
+Detailed documentation [PyPI Installation](docs/PYPI_INSTALLATION.md).
+
 #### Docker Compose Deployment
 
 ```bash

docs/PYPI_INSTALLATION.md

@@ -0,0 +1,105 @@
+# LangBot PyPI Package Installation
+
+## Quick Start with uvx
+
+The easiest way to run LangBot is using `uvx` (recommended for quick testing):
+
+```bash
+uvx langbot
+```
+
+This will automatically download and run the latest version of LangBot.
+
+## Install with pip/uv
+
+You can also install LangBot as a regular Python package:
+
+```bash
+# Using pip
+pip install langbot
+
+# Using uv
+uv pip install langbot
+```
+
+Then run it:
+
+```bash
+langbot
+```
+
+Or using Python module syntax:
+
+```bash
+python -m langbot
+```
+
+## Installation with Frontend
+
+When published to PyPI, the LangBot package includes the pre-built frontend files. You don't need to build the frontend separately.
+
+## Data Directory
+
+When running LangBot as a package, it will create a `data/` directory in your current working directory to store configuration, logs, and other runtime data. You can run LangBot from any directory, and it will set up its data directory there.
+
+## Command Line Options
+
+LangBot supports the following command line options:
+
+- `--standalone-runtime`: Use standalone plugin runtime
+- `--debug`: Enable debug mode
+
+Example:
+
+```bash
+langbot --debug
+```
+
+## Comparison with Other Installation Methods
+
+### PyPI Package (uvx/pip)
+- **Pros**: Easy to install and update, no need to clone repository or build frontend
+- **Cons**: Less flexible for development/customization
+
+### Docker
+- **Pros**: Isolated environment, easy deployment
+- **Cons**: Requires Docker
+
+### Manual Source Installation
+- **Pros**: Full control, easy to customize and develop
+- **Cons**: Requires building frontend, managing dependencies manually
+
+## Development
+
+If you want to contribute or customize LangBot, you should still use the manual installation method by cloning the repository:
+
+```bash
+git clone https://github.com/langbot-app/LangBot
+cd LangBot
+uv sync
+cd web
+npm install
+npm run build
+cd ..
+uv run main.py
+```
+
+## Updating
+
+To update to the latest version:
+
+```bash
+# With pip
+pip install --upgrade langbot
+
+# With uv
+uv pip install --upgrade langbot
+
+# With uvx (automatically uses latest)
+uvx langbot
+```
+
+## System Requirements
+
+- Python 3.10.1 or higher
+- Operating System: Linux, macOS, or Windows