Do you guys have plans to integrate LiveKit's new End of Turn model? From the video, it looks like it will solve the main issues with conversational agents: https://x.com/livekit/status/1870194686532694417

@Damiano Rodriguez I'm glad to hear you're interested in the latest advancements in conversational AI! While I can't provide specific details about future integrations or plans, integrating new models like LiveKit's End of Turn can indeed enhance conversational agents by improving the fluidity and responsiveness of interactions. If you're looking to integrate or make use of such models with VAPI, please keep an eye on our updates or reach out to our support team for the most current information on upcoming features and integrations. We're always working to improve our services and offer the best tools for voice developers. If you have any more questions or need assistance with anything else, feel free to ask!

Seems that I need a reply directly from the Vapi team

@Damiano Rodriguez We knew about it and we will let you know via #1211483332496465962 about our plans.

@Shubham Bajaj yes please prioritize this. This would be a huge upgrade on conversational quality, and a major plus point Vapi interrupts all the time, none of the current parameters can fix this, and it's critical for a service that's about conversations My testers tell me they get anxious about being interrupted

@Ethan Tan To help track down your issue, could you share the following in a new #1211483291191083018 ticket and tag me over there: - The call ID - When exactly this happened (the timestamp) - What response you expected to get - What response you actually got instead This would really help me figure out what went wrong!

I really hope this happens. I love VAPI but we had to pivot to Livekit mainly for the lack of DTMF on vapi but once we tried this new turn detector model it was a complete game changer. We'll never be able to come back unless something like this get implemented