SGLang
Fast serving framework for complex LLM workflows and multi-turn structured generation.
Why consider SGLang?
SGLang is a fast serving framework for large language models and vision-language models. It accelerates complex LLM prompting with RadixAttention (prefix caching), structured JSON decoding, and speculative decoding.
Learn SGLang by building
Practical setup notes, real use cases, and copy-ready examples in one focused guide.
In this guide2 sections
Overview of SGLang
SGLang delivers up to 5x higher throughput for agent workflows and chain-of-thought pipelines by intelligently reusing KV-caches across multi-turn requests.
Quickstart
pip install "sglang[all]"python3 -m sglang.launch_server --model-path meta-llama/Meta-Llama-3-8B-Instruct --port 30000SGLang is licensed under the Apache License Version 2.0.
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