skills/azure-ai-voicelive-ts/SKILL.md
Azure AI Voice Live SDK for JavaScript/TypeScript. Build real-time voice AI applications with bidirectional WebSocket communication.
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Real-time voice AI SDK for building bidirectional voice assistants with Azure AI in Node.js and browser environments.
npm install @azure/ai-voicelive @azure/identity
# TypeScript users
npm install @types/node
Current Version: 1.0.0-beta.3
Supported Environments:
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
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);
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);
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
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);
}
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",
});
The SDK uses a subscription-based event handling pattern:
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
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