Voice Gateway Setup

Voice Gateway Setup Guide

Deploy an AI Agent as a voice-enabled endpoint with WebRTC support. Users can talk to the agent directly in their browser.

Prerequisites

1. A Project — use list_resources { resourceType: "project" } to find one, or let create_ai_agent create one automatically.
2. A Flow — the conversation logic the voice endpoint connects to. Use list_resources { resourceType: "flow", projectId } to find existing flows.
3. An LLM — the agent needs an LLM to generate responses. Use setup_llm if not configured.

Quick Start

1. Create a Voice Gateway endpoint

{
  "projectId": "<24-char hex>",
  "flowId": "<flow referenceId>",
  "name": "My Voice Agent"
}

This automatically:

• Creates a voiceGateway2 endpoint
• Provisions a WebRTC client
• Returns a webrtcDemoUrl the user can open in a browser

2. Customize the WebRTC widget (optional)

{
  "projectId": "<24-char hex>",
  "flowId": "<flow referenceId>",
  "name": "My Voice Agent",
  "webrtcWidgetConfig": {
    "label": "Support Agent",
    "theme": "AI_PURPLE",
    "transcription": { "enabled": true },
    "tagline": "How can I help you today?",
    "avatarLogoUrl": "https://example.com/avatar.png"
  }
}

3. Update an existing endpoint

{
  "endpointId": "<24-char hex>",
  "webrtcWidgetConfig": {
    "theme": "CLEAN_WHITE"
  }
}

WebRTC Widget Themes

URLs in the Response

Embedding on a Website

Copy the embeddingSnippet from the response into your HTML page. It loads the Cognigy WebRTC widget and connects to the voice endpoint automatically.

Typical Full Workflow

1. create_ai_agent → get flowId and projectId
2. setup_llm → configure LLM for the project
3. manage_voice_gateway { projectId, flowId } → get webrtcDemoUrl
4. Share the URL with the user