chatai/sglang/sgl-router/README.md

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# SGLang Router
SGLang router is a standalone module implemented in Rust to achieve data parallelism across SGLang instances.
## User docs
Please check https://docs.sglang.ai/router/router.html
## Developer docs
### 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>
```
If you want one handy command to do build + install for every change you make:
```bash
$ python -m build && pip install --force-reinstall dist/*.whl
```
##### Option B: Development Mode
For development purposes, you can install the package in editable mode:
Warning: Using editable python binding can suffer from performance degradation!! Please build a fresh wheel for every update if you want to test performance.
```bash
$ pip install -e .
```
**Note:** When modifying Rust code, you must rebuild the wheel for changes to take effect.
### Troubleshooting
1. If rust analyzer is not working in VSCode, set `rust-analyzer.linkedProjects` to the absolute path of `Cargo.toml` in your repo. For example:
```json
{
"rust-analyzer.linkedProjects": ["/workspaces/sglang/sgl-router/Cargo.toml"]
}
```
### 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).