Automate prompt prefix caching for LLM serving with SGLang.
npx skills add https://github.com/t2ance/dr-claw-plugin --skill sglang-t2ance
Please help me install this Agent Skill. Skill: sglang Source: https://github.com/t2ance/dr-claw-plugin/tree/main/plugins/ml-training-stack/skills/inference-serving/sglang Command: npx skills add https://github.com/t2ance/dr-claw-plugin --skill sglang-t2ance
Automates prompt prefix caching to accelerate production-grade LLM serving by reusing shared prompt prefixes across requests.
Install SGLang and launch the server with a model path to begin serving structured generation at scale.
High-intent search queries and answers about installing and using this skill.
RadixAttention accelerates LLM serving by automatically reusing KV cache from shared system prompts, few-shot examples, and multi-turn conversations across multiple requests to skip redundant processing.
You can get structured JSON output by launching the server with a compatible model path and utilizing its built-in structured generation support, which enforces JSON, regex, or grammar constraints on the generated output.
Yes, this solution supports building agent workflows with function calls and provides a production-ready OpenAI-compatible API to serve them. It handles multi-model and multi-GPU deployments out of the box.
Yes, you need a Python environment with the sglang package installed and a compatible model path available locally to launch the server and begin serving structured generation requests.
The best approach is using a server with automatic KV cache reuse for multi-turn conversations. This prevents the system from recalculating the shared prefix tokens for each new turn, maintaining fast inference speeds.
NVIDIADeploy HuggingFace model checkpoints as OpenAI-compatible endpoints with vLLM or SGLang.
overviewlabsDeploy and scale LLM inference with vLLM for low-latency production serving.
afel6Constrain LLM generation with regex and grammar rules for valid JSON, XML, or code.
Orchestra-ResearchServe LLMs with RadixAttention prefix caching and constrained structured generation.
