Build a voice agent with a chained STT-LLM-TTS architecture

Voice agents are revolutionizing business interactions by employing a chained architecture integrating speech-to-text (STT), large language models (LLM), and text-to-speech (TTS) technologies to automate workflows and create conversational interfaces. This architecture facilitates real-time voice interactions by converting spoken input into a text response and back to audio through a low-latency streaming pipeline. Companies can choose between building their own pipeline, which offers customization but involves complex integration of multiple providers, or using a managed service like AssemblyAI's Voice Agent API, which simplifies deployment by handling the entire process through a single WebSocket connection at a flat rate. The key to effective voice agents lies in minimizing latency through streaming architectures, using fast models, and pre-warming connections, with an emphasis on precise orchestration to manage conversation flow, turn detection, and error recovery.

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