Voice Agents

Voice Agents

Voice agents represent the frontier of AI interaction - humans speaking naturally with AI systems. The challenge isn't just speech recognition and synthesis, it's achieving natural conversation flow with sub-800ms latency while handling interruptions, background noise, and emotional nuance.

This skill covers two architectures: speech-to-speech (OpenAI Realtime API, one low-latency architecture option) and pipeline (STT→LLM→TTS, more control, easier to debug). Key insight: latency is the constraint. Humans expect responses in 500ms. Every millisecond matters.

No market-adoption statistic or universal latency benchmark is established by this skill.

Detailed Guide

Read the detailed guide before executing this skill. It retains the complete procedure and reference material. Treat its safety, prerequisites, and validation requirements as mandatory. For focused work, load the relevant sections; for end-to-end work, read the guide completely.

Legacy Pipeline Sketch (not a production implementation)

import { Deepgram } from '@deepgram/sdk';
import { ElevenLabsClient } from 'elevenlabs';
import OpenAI from 'openai';