Voice Agents Architecture (EXPLAINED)
Hard AI Agents interview question on voice agents architecture — architecture, trade-offs, eval, and production patterns.
TL;DR — Quick Answer
Pipeline: VAD → streaming STT → LLM/agent → streaming TTS with barge-in. Target <800ms perceived latency; handle partial transcripts; run tool calls without long awkward silence.
The Interview Question
Explain voice agents architecture. How would you apply this when building production AI agents? Cover architecture, safety, and evaluation.
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