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Serving an LLM with structured outputs via SGLang v1.0.0

Use this resource to serve an LLM with constrained JSON or regex outputs and prefix caching

New

  • 389 downloads
  • 131 likes
  • 218 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install sglang-structured-llm-serving-2

With no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.

First time: connect the CLI with

npx --yes palatekit@latest login

The agent guides you through installing SGLang, starting a server with RadixAttention to cache prefixes, then constraining outputs to JSON or regex. It also covers parallelism across several GPUs.

Mostly picked by

Updated November 2, 2026

Card for the “Serving an LLM with structured outputs via SGLang” skill

Details

Works in
Install guides
Generates with
Your agent's model
Licence
MIT

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What you get

  • SKILL.md: installation, server startup and basic inference
  • references/structured-generation.md, radix-attention.md and deployment.md: structured generation, prefix caching and deployment

Good fit for

  • You need reliable JSON outputs
  • Your agents reuse long system prompts

Not for

    Tags

    • inference
    • json
    • cache
    • server

    About

    You say

    “Start an SGLang server for Llama 3 8B with constrained JSON outputs for my invoice extractor.”

    Card for the “Serving an LLM with structured outputs via SGLang” skill

    Skill published by Orchestra Research under the MIT license, delivered in its original version.

    Show more

    How to use it

    1. Install the skill in your agent's skills folder
    2. Ask your agent to serve an LLM with constrained JSON or regex outputs and prefix caching
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • references/deployment.md10.3 KB
    • references/radix-attention.md11.2 KB
    • references/structured-generation.md13.7 KB
    • SKILL.md11.6 KB

    Origin and licence

    Listed unmodified

    Author
    Orchestra Research
    Source
    github.com/orchestra-research/ai-research-skills/tree/773a52944ba4747a18bd4ae9ade53fff041adcbc/12-inference-serving/sglang
    Licence
    MIT

    Notice

    « sglang » (Orchestra Research, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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