livekit-voice-pipeline

What problem does it solve?

This Skill simplifies the creation of sophisticated voice AI agents by providing a robust framework for integrating Speech-to-Text (STT), Large Language Models (LLM), and Text-to-Speech (TTS) within the LiveKit ecosystem.

Core Features & Use Cases

• End-to-End Voice Pipeline: Orchestrates audio input through VAD, STT, LLM processing, and TTS output.
• Configurable Components: Easily swap and configure various STT, LLM, and TTS models (e.g., Deepgram, OpenAI, Cartesia, ElevenLabs).
• Advanced Features: Supports turn detection, interruption handling, multi-language capabilities, and latency optimization.
• Use Case: Develop a customer support voice bot that can understand user queries, process them with an LLM, and respond naturally using a chosen TTS voice, all within a real-time communication environment.

Quick Start

Use the livekit-voice-pipeline skill to build a voice AI agent with STT-LLM-TTS pipeline, turn detection, and interruption handling in LiveKit for the provided voice agent requirements.