The text discusses the integration of AI avatars into voice agents, specifically with LiveKit agents. The goal is to improve user experience by making interactions feel more natural and engaging through visual cues such as facial expressions, gestures, and eye contact. The integration is designed as a plugin that captures an agent's audio output and forwards it to a remote avatar model for video synthesis. This approach minimizes boilerplate while preserving full control over the agent logic. The system uses LiveKit's unique capabilities, including RPC and ByteStream, to reduce latency and optimize performance. To handle interruptions, the avatar server discards pre-synthesized frames and begins generating new frames that reflect the avatar's listening state in real-time. The integration also tracks playback completion using LiveKit's RPC system to maintain compatibility with SpeechHandle APIs.