AI Voice Agent

Objectives

• Response latency: Sub-1s perceived response with streaming STT/TTS
• Call automation: Handle 80% of inbound calls without human intervention
• Handoff: Graceful transfer to human on low-confidence responses

Architecture

async function handleTurn(stream: MediaStream) {
  const transcript = await stt.stream(stream);
  const response = await llm.chat({
    messages: conversationHistory,
    tools: [bookAppointment, qualifyLead, handoffHuman],
  });
  return tts.speak(response.text);
}

Technology

Features

• Streaming speech-to-text via Whisper for low-latency transcription
• LLM-based conversation orchestration with function calling for booking
• Low-latency text-to-speech synthesis via ElevenLabs streaming
• Confidence-based human handoff with context preservation

Implementation

1. 1Stream audio to STT for low latency.
2. 2Maintain conversation state in the LLM orchestrator.
3. 3Synthesize responses with low-latency TTS.
4. 4Hand off to a human on low confidence.

Tradeoffs

Performance

• Target sub-second perceived response with streaming.

Lessons learned

• Graceful handoff builds trust.
• Log calls for evaluation and tuning.

Future roadmap

• Add sentiment-aware routing.
• Add multilingual support.

FAQ