Voice AI Agent Stack (Whisper, TTS, WebSocket, FastAPI, React) overview

An end-to-end voice-powered AI agent architecture for building conversational interfaces with speech input and output. OpenAI Whisper (or whisper.cpp) handles automatic speech recognition, converting audio streams to text. A text-to-speech engine synthesizes agent responses back to audio. WebSocket connections enable full-duplex, low-latency audio streaming between client and server. FastAPI serves as the async backend, coordinating ASR, LLM inference, and TTS in a streaming pipeline. React powers the frontend with audio capture, playback, and visual feedback. Python handles all server-side logic including audio preprocessing and LLM integration. This stack suits voice assistants, call center copilots, and accessibility-first applications. The main tradeoff is latency — the ASR-to-TTS round trip must stay under 1-2 seconds for natural conversation flow.