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LiveKit on X: "We built a patient intake agent with @SpaceXAI that runs end to end on Grok voice models. Grok STT → Grok 4.3 → Grok TTS, cascaded through LiveKit Inference. Three model strings in one AgentSession. No separate API key, no separate billing, ZDR on every hop. Talk to it: https://t.co/hx4jvwaWLx"

@livekit
LiveKit
@livekit
We built a patient intake agent with @SpaceXAI that runs end to end on Grok voice models. Grok STT → Grok 4.3 → Grok TTS, cascaded through LiveKit Inference. Three model strings in one AgentSession. No separate API key, no separate billing, ZDR on every hop. Talk to it: xai.livekit.space
3:47 PM · Aug 26, 2026169.4KViews
18

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  • @livekit
    LiveKit
    @livekit
    We built a patient intake agent with @SpaceXAI that runs end to end on Grok voice models. Grok STT → Grok 4.3 → Grok TTS, cascaded through LiveKit Inference. Three model strings in one AgentSession. No separate API key, no separate billing, ZDR on every hop. Talk to it: xai.livekit.space
    3:47 PM · Aug 26, 2026169.4KViews
    18
  • @livekit
    LiveKit
    @livekit
    Aug 26
    This is the first fully cascaded voice demo on @grok. Patient intake flows require a fully cascaded pipeline: a real transcript, tool calls against the chart, and control over every turn. It books, reschedules, and triages red-flag symptoms to emergency care.
    2
    @livekit
    LiveKit
    @livekit
    Aug 26
    Expressive mode is on, so @SpaceXAI's TTS handles pacing and delivery inline without prompt changes. Rigel for clinical, Celeste when the caller needs reassurance. Full recipe:
    LiveKit logo
    SpaceXAI and LiveKit | LiveKit Documentation
    From docs.livekit.io
    1
  • @stavied123
    Stavie D
    @stavied123
    Aug 26
    LK just keeps on cooking!