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SGLang Omni contributors describe one runtime for full-duplex voice AI

1 article1 sourcesince Nov 8Last article

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SGLang Omni contributors Chenyang Zhao and Jintao Qu describe a runtime that serves full-duplex voice models, omni models, and ASR–LLM–TTS pipelines on the SGLang project's X account.

According to the report, the runtime handles interruptions and keeps sessions persistent.

The only source is the SGLang project's X post of November 8, 2026, which relays the contributors' explanation. The report includes no benchmarks, adoption figures, or independent verification of how the runtime performs.

Written by AI from the articles below · updated Nov 9, 4:15 PM ET

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Latest developmentNov 8, 9:26 PM ET
SGLang Omni offers one runtime for full-duplex voice AI models

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Nov 8
  1. SGLangOfficial
    SGLang Omni offers one runtime for full-duplex voice AI models

    AISGLang Omni contributors Chenyang Zhao and Jintao Qu describe a runtime that serves full-duplex models, omni models, and ASR–LLM–TTS pipelines. The runtime handles interruptions and keeps sessions persistent.

    Image from @sgl_project's post

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