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agent•Updated 10/9/2025

Low-Latency WebRTC Voice Agent

Sub-200ms round-trip latency for seamless, natural conversational AI on the web.

$0.10 - $0.30 per minute of conversation150ms round-trip latency

The Problem

Build an AI agent for a web application (e.g., a virtual sales assistant) that requires near-instantaneous, browser-based voice interaction.

Expected Outcome

Sub-200ms round-trip latency for seamless, natural conversational AI on the web.

Tool Chain

ElevenLabs
Deepgram
LiveKit

Implementation Steps

  1. 1

    WebRTC Connection via SDK

    The user's browser connects to the backend via LiveKit for low-latency audio transport.

    LiveKit
  2. 2

    Real-Time ASR Stream

    The audio stream is piped directly to Deepgram's real-time API for low-latency transcription.

    Deepgram
  3. 3

    Agent Logic Processing (LLM)

    The transcript is used by the LLM to generate a textual response.

  4. 4

    Streaming TTS Response

    The response is sent to ElevenLabs' streaming TTS endpoint and immediately streamed back to the user via LiveKit.

    ElevenLabs

Alternatives

Step 2

Very fast, competitive latency with Deepgram.

Cost Impact: -10%

Step 4

Reliable streaming TTS, slightly less emotional range.

Cost Impact: N/A

Export Workflow

Coming Soon

Soon you’ll export this stack to Zapier, n8n, or a starter repo with presets (env vars, webhooks, rate limits).

Get export launch updates