Metadata-Version: 2.1
Name: sglang-router
Version: 0.0.2
Summary: SGLang router is a standalone module implemented in Rust to achieve data parallelism across SGLang instances.
Author-email: Byron Hsu <byronhsu1230@gmail.com>
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Programming Language :: Rust
Classifier: Programming Language :: Python :: 3
Requires-Python: >=3.8
Description-Content-Type: text/markdown

# SGLang Router (Experimental)

SGLang router is a standalone module implemented in Rust to achieve data parallelism across SGLang instances.

## Prerequisites

- Rust and Cargo installed

```bash
# Install rustup (Rust installer and version manager)
curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh

# Follow the installation prompts, then reload your shell
source $HOME/.cargo/env

# Verify installation
rustc --version
cargo --version
```

- Python with pip installed

## Build Process

### 1. Build Rust Project

```bash
cargo build
```

### 2. Build Python Binding

#### Option A: Build and Install Wheel
1. Build the wheel package:
```bash
pip install setuptools-rust wheel build
python -m build
```

2. Install the generated wheel:
```bash
pip install <path-to-wheel>
```

#### Option B: Development Mode

For development purposes, you can install the package in editable mode:
```bash
pip install -e .
```

**Note:** When modifying Rust code, you must rebuild the wheel for changes to take effect.

## CI/CD Setup

The continuous integration pipeline consists of three main steps:

### 1. Build Wheels
- Uses `cibuildwheel` to create manylinux x86_64 packages
- Compatible with major Linux distributions (Ubuntu, CentOS, etc.)
- Additional configurations can be added to support other OS/architectures
- Reference: [cibuildwheel documentation](https://cibuildwheel.pypa.io/en/stable/)

### 2. Build Source Distribution
- Creates a source distribution containing the raw, unbuilt code
- Enables `pip` to build the package from source when prebuilt wheels are unavailable

### 3. Publish to PyPI
- Uploads both wheels and source distribution to PyPI

The CI configuration is based on the [tiktoken workflow](https://github.com/openai/tiktoken/blob/63527649963def8c759b0f91f2eb69a40934e468/.github/workflows/build_wheels.yml#L1).
