Signed-off-by: Austin Liu <austin362667@gmail.com> Co-authored-by: ByronHsu <byronhsu1230@gmail.com>
109 lines
2.3 KiB
Markdown
109 lines
2.3 KiB
Markdown
# SGLang Router (Experimental)
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SGLang router is a standalone module implemented in Rust to achieve data parallelism across SGLang instances.
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## Installation
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WIP. Ideally just
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```bash
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pip install sglang-router
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```
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## Development
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### Rust
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1. Install Rust
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```bash
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# Install rustup (Rust installer and version manager)
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curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh
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# Follow the installation prompts, then reload your shell
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source $HOME/.cargo/env
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# Verify installation
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rustc --version
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cargo --version
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```
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2. Build the router
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```bash
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# Navigate to the rust directory
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cd ./rust
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# Build the project
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cargo build
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# Verify the binary works correctly
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./target/debug/router --help
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```
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The help command will show available options:
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```
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Usage: router [OPTIONS]
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Options:
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--host <HOST> [default: 127.0.0.1]
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--port <PORT> [default: 3001]
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--worker-urls <WORKER_URLS>
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--policy <POLICY> [default: round_robin] [possible values: round_robin, random]
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-h, --help Print help
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-V, --version Print version
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```
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### Python Binding
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1. Create a virtual environment
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```bash
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$ python -m venv .venv
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$ source .venv/bin/activate
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```
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2. Install python dependencies
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```bash
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$ pip install maturin
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$ pip install patchelf
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```
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3. Install rust python binding
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```bash
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$ maturin develop
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🔗 Found pyo3 bindings
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🐍 Found CPython 3.10 at /home/jobuser/resources/sglang/rust/.venv/bin/python
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📡 Using build options bindings from pyproject.toml
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Finished `dev` profile [unoptimized + debuginfo] target(s) in 0.11s
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📦 Built wheel for CPython 3.10 to /tmp/.tmpJb65sc/sglang_router-0.0.0-cp310-cp310-linux_x86_64.whl
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✏️ Setting installed package as editable
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🛠 Installed sglang_router-0.0.0
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```
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## Usage
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1. Launch worker instances
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```bash
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# Launch first worker on GPU 0
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export CUDA_VISIBLE_DEVICES=0
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python -m sglang.launch_server \
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--model-path meta-llama/Meta-Llama-3.1-8B-Instruct \
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--host 127.0.0.1 \
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--port 30000
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# Launch second worker on GPU 1
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export CUDA_VISIBLE_DEVICES=1
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python -m sglang.launch_server \
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--model-path meta-llama/Meta-Llama-3.1-8B-Instruct \
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--host 127.0.0.1 \
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--port 30002
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```
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2. Launch router and connect to workers
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```bash
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./target/debug/router --worker-urls http://127.0.0.1:30000,http://127.0.0.1:30002
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```
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