I'm using gpt-realtime model with its own server V...
# ask-ai
l
I'm using gpt-realtime model with its own server VAD, and I want to change the vad params on runtime, as in after the call has started. is this doable?
t
Thanks for reaching out, Lovekesh. I'm an AI assistant and I'm here to help. Give me a moment while I research this topic.
You're asking whether you can change the gpt-realtime model's server-side VAD parameters after a call has already started — short answer: no, you cannot. Details and alternatives: • Server-side VAD parameters (e.g., threshold, padding, silence duration) are set when the realtime session is initialized and cannot be updated during an active call. • Two practical workarounds: ◦ Use a client-side turn detector (for example, LiveKit's MultilingualModel/turn detector). Its session-level timing options (like
min_endpointing_delay
/
max_endpointing_delay
) can be adjusted at runtime. ◦ Restart the session with new VAD settings if you must use the server VAD (this disrupts the ongoing call). If you want, tell me which approach you prefer (client-side turn detector or session restart) and what parameters you want to change — I can walk you through the exact steps or code snippets. Sources: OpenAI Realtime API plugin guide | LiveKit docs | Agents (Python) | livekit/livekit_composite | DeepWiki | LiveKit turn detector plugin | LiveKit docs