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Azure AI Voice Live SDK for .NET. Build real-time voice AI applications with bidirectional WebSocket communication.
Passed 22 of 23 test cases with the skill, and 8 of 23 without it.
and 19 more in the full report
14 fixed8 passed either way1 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 14 test cases the skill fixed. Same model, same prompt, with and without the skill.
Which primary NuGet package needs to be added via dotnet add package to access the real-time bidirectional voice SDK classes in .NET?
| Checked | Without skill | With skill |
|---|---|---|
| Specifies package Azure.AI.VoiceLive. | Missed | Passed |
The instructions your model reads when the skill loads.
Real-time voice AI SDK for building bidirectional voice assistants with Azure AI.
dotnet add package Azure.AI.VoiceLive
dotnet add package Azure.Identity
dotnet add package NAudio # For audio capture/playback
Current Versions: Stable v1.0.0, Preview v1.1.0-beta.1
AZURE_VOICELIVE_ENDPOINT=https://<resource>.services.ai.azure.com/ # Required: Voice Live endpoint
AZURE_VOICELIVE_MODEL=gpt-4o-realtime-preview # Required: model deployment name
AZURE_VOICELIVE_VOICE=en-US-AvaNeural # Optional: Voice Live voice name
AZURE_VOICELIVE_API_KEY=<your-api-key> # Only required for AzureKeyCredential auth
AZURE_TOKEN_CREDENTIALS=prod # Required only if DefaultAzureCredential is used in production
using Azure.Identity;
using Azure.AI.VoiceLive;
Uri endpoint = new Uri("https://your-resource.cognitiveservices.azure.com");
// Local dev: DefaultAzureCredential. Production: set AZURE_TOKEN_CREDENTIALS=prod or AZURE_TOKEN_CREDENTIALS=<specific_credential>
var credential = new DefaultAzureCredential(
DefaultAzureCredential.DefaultEnvironmentVariableName
);
// Or use a specific credential directly in production:
// See https://learn.microsoft.com/dotnet/api/overview/azure/identity-readme?view=azure-dotnet#credential-classes
// var credential = new ManagedIdentityCredential();
test cases passed, vs 8 / 23 without
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