SGLang Project
Fast serving engine tuned for structured output and complex prompting.
GitHub Stars
29.7K
Contributors
1.6K
PyPI / Month
486.5M
What the engine gives you out of the box, in plain language.
Caches and reuses shared prompt prefixes across requests to save compute.
Force output to match a JSON schema or grammar at high speed.
Serves a familiar API so most existing clients connect without changes.
The jobs this engine is best suited for.
Workloads that reuse the same context across many calls benefit from prefix caching.
Force valid JSON out of a model at production speed.
An alternative to vLLM when you want top throughput plus structured output.

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