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Azure AI Voice Live SDK for JavaScript/TypeScript. Build real-time voice AI applications with bidirectional WebSocket communication.
Passed 22 of 23 test cases with the skill, and 6 of 23 without it.
and 23 more in the full report
16 fixed6 passed either way1 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 16 test cases the skill fixed. Same model, same prompt, with and without the skill.
Write a TypeScript snippet to configure an Azure AI real-time voice session to use OpenAI's alloy voice instead of an Azure speech voice.
| Checked | Without skill | With skill |
|---|---|---|
| Sets the voice configuration type to openai | Missed | Passed |
| Sets the voice name to alloy | Passed | Passed |
The instructions your model reads when the skill loads.
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
AZURE_TOKEN_CREDENTIALS=prod # Required only if DefaultAzureCredential is used in production
import { DefaultAzureCredential, ManagedIdentityCredential } from "@azure/identity";
import { VoiceLiveClient } from "@azure/ai-voicelive";
// Local dev: DefaultAzureCredential. Production: set AZURE_TOKEN_CREDENTIALS=prod or AZURE_TOKEN_CREDENTIALS=<specific_credential>
const credential = new DefaultAzureCredential({requiredEnvVars: ["AZURE_TOKEN_CREDENTIALS"]});
// Or use a specific credential directly in production:
test cases passed, vs 6 / 23 without
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