I will deploy custom livekit webrtc voice pipelines and backend agents

Off the shelf voice platforms hit a wall when you need absolute control over latency, interruption handling, and custom LLM tool execution.

I engineer custom, real time conversational agents directly on LiveKit WebRTC infrastructure. By building bare metal Python or Node workers, I bypass middleware limitations to achieve sub 500ms response times and precise state control.

What I build

Custom LiveKit Python and TypeScript agent workers

Optimized speech to text and text to speech pipelines

Granular voice activity detection and interruption logic

Secure backend tool calling for database queries and booking APIs

If your use case demands enterprise grade real time audio control, this is the architecture you need.

Latency figures reflect optimized LLM and TTS pipeline architecture. Total round trip time depends on carrier SIP routes and third party webhook execution.