Azure AI Voice Live SDK for JavaScript/TypeScript. Build real-time voice AI applications with bidirectional WebSocket communication.
Scanned 9/11/2026
Install to Claude Code
npx -y skills add ranbot-ai/awesome-skills --skill azure-ai-voicelive-ts --agent claude-codeInstalls into .claude/skills of the current project.
Are you the author of Azure Ai Voicelive Ts?
Add the live security badge to your README — it updates automatically with every re-scan.
[](https://www.skillsdirectory.com/skills/ranbot-ai-azure-ai-voicelive-ts)More formats (shields.io, HTML) on the badges page.
---
name: azure-ai-voicelive-ts
description: Azure AI Voice Live SDK for JavaScript/TypeScript. Build real-time voice AI applications with bidirectional WebSocket communication.
category: AI & Agents
source: antigravity
tags: [javascript, typescript, node, api, ai, gpt, workflow, azure, cro]
url: https://github.com/sickn33/antigravity-awesome-skills/tree/main/skills/azure-ai-voicelive-ts
---
# @azure/ai-voicelive (JavaScript/TypeScript)
Real-time voice AI SDK for building bidirectional voice assistants with Azure AI in Node.js and browser environments.
## Installation
```bash
npm install @azure/ai-voicelive @azure/identity
# TypeScript users
npm install @types/node
```
**Current Version**: 1.0.0-beta.3
**Supported Environments**:
- Node.js LTS versions (20+)
- Modern browsers (Chrome, Firefox, Safari, Edge)
## Environment Variables
```bash
AZURE_VOICELIVE_ENDPOINT=https://<resource>.cognitiveservices.azure.com
# Optional: API key if not using Entra ID
AZURE_VOICELIVE_API_KEY=<your-api-key>
# Optional: Logging
AZURE_LOG_LEVEL=info
```
## Authentication
### Microsoft Entra ID (Recommended)
```typescript
import { DefaultAzureCredential } from "@azure/identity";
import { VoiceLiveClient } from "@azure/ai-voicelive";
const credential = new DefaultAzureCredential();
const endpoint = "https://your-resource.cognitiveservices.azure.com";
const client = new VoiceLiveClient(endpoint, credential);
```
### API Key
```typescript
import { AzureKeyCredential } from "@azure/core-auth";
import { VoiceLiveClient } from "@azure/ai-voicelive";
const endpoint = "https://your-resource.cognitiveservices.azure.com";
const credential = new AzureKeyCredential("your-api-key");
const client = new VoiceLiveClient(endpoint, credential);
```
## Client Hierarchy
```
VoiceLiveClient
└── VoiceLiveSession (WebSocket connection)
├── updateSession() → Configure session options
├── subscribe() → Event handlers (Azure SDK pattern)
├── sendAudio() → Stream audio input
├── addConversationItem() → Add messages/function outputs
└── sendEvent() → Send raw protocol events
```
## Quick Start
```typescript
import { DefaultAzureCredential } from "@azure/identity";
import { VoiceLiveClient } from "@azure/ai-voicelive";
const credential = new DefaultAzureCredential();
const endpoint = process.env.AZURE_VOICELIVE_ENDPOINT!;
// Create client and start session
const client = new VoiceLiveClient(endpoint, credential);
const session = await client.startSession("gpt-4o-mini-realtime-preview");
// Configure session
await session.updateSession({
modalities: ["text", "audio"],
instructions: "You are a helpful AI assistant. Respond naturally.",
voice: {
type: "azure-standard",
name: "en-US-AvaNeural",
},
turnDetection: {
type: "server_vad",
threshold: 0.5,
prefixPaddingMs: 300,
silenceDurationMs: 500,
},
inputAudioFormat: "pcm16",
outputAudioFormat: "pcm16",
});
// Subscribe to events
const subscription = session.subscribe({
onResponseAudioDelta: async (event, context) => {
// Handle streaming audio output
const audioData = event.delta;
playAudioChunk(audioData);
},
onResponseTextDelta: async (event, context) => {
// Handle streaming text
process.stdout.write(event.delta);
},
onInputAudioTranscriptionCompleted: async (event, context) => {
console.log("User said:", event.transcript);
},
});
// Send audio from microphone
function sendAudioChunk(audioBuffer: ArrayBuffer) {
session.sendAudio(audioBuffer);
}
```
## Session Configuration
```typescript
await session.updateSession({
// Modalities
modalities: ["audio", "text"],
// System instructions
instructions: "You are a customer service representative.",
// Voice selection
voice: {
type: "azure-standard", // or "azure-custom", "openai"
name: "en-US-AvaNeural",
},
// Turn detection (VAD)
turnDetection: {
type: "server_vad", // or "azure_semantic_vad"
threshold: 0.5,
prefixPaddingMs: 300,
silenceDurationMs: 500,
},
// Audio formats
inputAudioFormat: "pcm16",
outputAudioFormat: "pcm16",
// Tools (function calling)
tools: [
{
type: "function",
name: "get_weather",
description: "Get current weather",
parameters: {
type: "object",
properties: {
location: { type: "string" }
},
required: ["location"]
}
}
],
toolChoice: "auto",
});
```
## Event Handling (Azure SDK Pattern)
The SDK uses a subscription-based event handling pattern:
```typescript
const subscription = session.subscribe({
// Connection lifecycle
onConnected: async (args, context) => {
console.log("Connected:", args.connectionId);
},
onDisconnected: async (args, context) => {
console.log("Disconnected:", args.code, args.reason);
},
onError: async (args, context) => {
console.error("Error:", args.error.message);
},
// Session events
onSessionCreated: async (event, context) => {
console.log("Session created:", context.sessionId);
},
onSessionUpdated: async (event, context) => {
console.log("Session updated");
},
// Audio input events (VAD)
onInputAudioBufferSpeechStarted: async (event, context) => {
console.log("Speech started at:", event.audioStartMs);
},
onInputAudioBufferSpeechSto
Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.
No comments yet. Be the first to comment!