SGLang is a high-performance serving framework for large language models and multimodal models.
SGLang is a framework for running inference for large language models and multimodal models, meaning it processes inputs to produce model outputs such as text or other media. It is used to serve and accelerate open AI models and related workloads.
Latest release v0.5.19 · 5 Sept 2026
These files are sgl-project/sglang's own configuration. They tell Claude Code and Codex how to work on this repository, so they are not mods to install elsewhere. Copy one as a starting point and replace the parts that are about this project.
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