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sgl-projectsgl-projectOfficial·2 Agent Skills Included

sglang-omni

Serve speech, music, and omni AI models at production scale

Serves omni, speech, and text-to-speech AI models through OpenAI-compatible APIs with multi-stage GPU pipelines. Eliminates the complexity of coordinating encoders, decoders, and vocoders across heterogeneous hardware. Includes agent skills that automate CI threshold calibration and benchmark table refreshes, cutting hours of manual GPU testing.
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npx skills add sgl-project/sglang-omni --all -g -y

All Skills in This Repository (2)

Pure Emerald Level Indicators
📦 In Repo
sgl-projectsgl-project

tune-ci-thresholds

Calibrate ASR, TTS, and Qwen3-Omni CI thresholds with statistical validation.

Official
Advanced
📦 In Repo
sgl-projectsgl-project

running-eval-suite

Automate performance benchmark execution and result table synchronization in sglang-omni.

Official
Advanced

Frequently Asked Questions

FAQPage Schema
How to install sglang-omni?▼

Run `npx skills add sgl-project/sglang-omni --all -g -y` in your terminal to install all skills in this suite globally.

What does SGLang-Omni do?▼

It is a serving runtime that runs omni, speech, and TTS models behind OpenAI-compatible endpoints for chat, speech generation, music, and transcription.

How do the included AI agent skills help developers?▼

They let your AI agent calibrate CI performance thresholds and refresh benchmark reference tables automatically, replacing hours of manual GPU test runs.

Which hardware does SGLang-Omni support?▼

NVIDIA CUDA GPUs are fully supported, and Intel Arc GPUs (XPU) are experimentally supported for Qwen3-ASR, Qwen3-TTS, and Qwen3-Omni models.

Does it work with Claude Code and other AI agents?▼

Yes. The skills follow the universal SKILL.md standard and run in Claude Code, OpenClaw, Cursor, and Codex.

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