Realtime Conversational Video with Pipecat and Tavus — Chad Bailey and Brian Johnson, Daily & Tavus

Core Technology & Products - Tavis offers a conversational video interface, an end-to-end pipeline for conversations with AI replicas, with a response time around 600 milliseconds [9] - Tavis's proprietary models, Sparrow Zero and Raven Zero, are being integrated into Pipecat [10][11] - Pipecat is an open-source framework designed as an orchestration layer for real-time AI, handling input, processing, and output of media [15][18] - Pipecat uses frames, processors, and pipelines to manage data flow, with processors handling frames of audio, video, or voice activity detection [23][24] Strategic Partnership & Integration - Tavis and Pipecat are partnering to enhance conversational AI, leveraging Pipecat's capabilities for real-time observability and control [8] - Enterprise customers are using Pipecat and want to integrate Tavis's technology within it, leading Tavis to move its best models into Pipecat [39] - Tavis is integrating its Phoenix rendering model, turn-taking, response timing, and perception models into Pipecat [39][40] Future Development & Deployment - Tavis is developing a multilingual turn detection model to improve conversational AI speed and prevent interruptions [41] - Tavis is working on a response timing model to adjust response speed based on conversation context [42][43] - Tavis's multimodal perception model will analyze emotions and surroundings to provide more nuanced conversational flow [44] - Pipecat Cloud offers a solution for deploying bots at scale, simplifying the process without requiring Kubernetes expertise [49]