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SGLang: structured LLM serving and prefix caching v1.0.0

Use this resource to deploy an LLM with SGLang for structured output and shared prefixes

New

  • 472 downloads
  • 118 likes
  • 139 saves

Free

Install with the CLI

In a terminal, from the folder you want:

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

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 sets up an SGLang server with RadixAttention to reuse shared prefixes, constrains outputs to JSON or regular expressions, and prepares agentic workflows with tool calls. You get a server and requests suited to structured output.

Mostly picked by

Updated November 2, 2026

Card for the “SGLang: structured LLM serving and prefix caching” 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 launch and basic inference
  • references/structured-generation.md: structured generation and constraints
  • references/radix-attention.md: prefix caching

Good fit for

  • You need valid JSON on every model response
  • Your agents repeat the same system prompts and tools

Not for

    Tags

    • sglang
    • structured output
    • llm

    About

    You say

    “Launch SGLang on my model and force answers to JSON matching this schema.”

    Card for the “SGLang: structured LLM serving and prefix caching” 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 deploy an LLM with SGLang for structured output and shared prefixes
    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/davila7/claude-code-templates/tree/f57964ebda91cdfb31755661ecea9395f30020f1/cli-tool/components/skills/ai-research/inference-serving-sglang
    Licence
    MIT

    Notice

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

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