sglang

What problem does it solve?

This Skill accelerates Large Language Model (LLM) inference, especially for tasks involving repeated prompts or structured outputs, by intelligently caching and reusing computations.

Core Features & Use Cases

• High-Speed Inference: Achieves up to 5x faster inference compared to standard serving methods like vLLM, particularly for agentic workflows and few-shot prompting.
• Structured Generation: Enables reliable generation of JSON, regex-constrained text, or grammar-based outputs.
• Agentic Workflows: Powers complex agent interactions by efficiently handling shared system prompts and tool calls.
• Use Case: Building a customer service chatbot that needs to understand user intent, call tools (like get_weather), and respond in a structured JSON format, all while maintaining a fast and responsive user experience.

Quick Start

Install SGLang using pip and launch the server with a specified model path.