sglang
SGLang
High-performance serving framework for LLMs and VLMs with RadixAttention for automatic prefix caching.
When to use SGLang
Use SGLang when:
- Need structured outputs (JSON, regex, grammar)
- Building agents with repeated prefixes (system prompts, tools)
- Agentic workflows with function calling
- Multi-turn conversations with shared context
- Need faster JSON decoding (3× vs standard)
Use vLLM instead when:
- Simple text generation without structure
- Don't need prefix caching
- Want mature, widely-tested production system
Use TensorRT-LLM instead when:
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