sglang: Accelerate LLM & Multimodal Model Serving
From the repo · “SGLang is a high-performance serving framework for large language models and multimodal models.”
Serve large language models on your own infrastructure for efficient performance.
"A founder wants to generate product descriptions for new Amazon products automatically. They use SGLang to serve a GPT model, integrate it with an Amazon script, and set up a cron job to run daily. The founder now gets custom product descriptions every night without manual effort."
- •When you need to deploy large language models with high performance and low latency
- •When you want to serve multimodal models that integrate text, images, and other data types
- •When you need a scalable framework for serving AI models in a production environment
Use the `python examples/client.py --model-name my_model --input-text 'Hello World!'` command to test the server with a sample input
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Installs with a command or two; your AI agent can do it for you.
mkdir -p ~/.claude/skills/sglang && curl -fsSL https://workflowstacks.com/api/skills/sglang/claude-skill -o ~/.claude/skills/sglang/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
Sglang: Accelerate LLM & Multimodal Model Serving is a very large Python project (~1.5M lines across 4022 code files, plus 2625 test files). Setup is light: installs like a normal app. Reading the code is optional. Last commit this month, Apache-2.0 license, has a test suite.
- 1README.mdStart here — what it does and how to install it
- 2examples/assets/.gitignoreA worked example — copy this to get going
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Installs with a command or two; your AI agent can do it for you.
mkdir -p ~/.claude/skills/sglang && curl -fsSL https://workflowstacks.com/api/skills/sglang/claude-skill -o ~/.claude/skills/sglang/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
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Do this with a working workflow
Pages we wrote and tested that put a skill like this to work — importable n8n templates, outcome guides and Claude Desktop configs.
Automate your product descriptions with AI
You keep your products in a Google Sheet. The workflow reads each one, writes a benefit-led description in a consistent brand voice, and saves it back — for your whole catalog at once. You review and publish.
Outcome guideWrite bulk product descriptions for your Shopify store
Export your products to a Google Sheet, run the workflow once, and it fills in a description for every product without one — in your chosen tone. Import the results back into Shopify.
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