All skills
microsoft avatar

/azure-ai-voicelive-dotnet

@073741f
by microsoftmicrosoft/skills3.1k stars
351

Azure AI Voice Live SDK for .NET. Build real-time voice AI applications with bidirectional WebSocket communication. Use for voice assistants, conversational AI, real-time speech-to-speech, and voice-enabled chatbots. Triggers: "voice live", "real-time voice", "VoiceLiveClient", "VoiceLiveSession", "voice assistant .NET", "bidirectional audio", "speech-to-speech".

Use this Skill: https://skilld.dev/gh/microsoft/skills/azure-ai-voicelive-dotnet

This session only. Nothing lands on disk.

SKILL.md

β‰ˆ98 tokens always: the name and description. β‰ˆ2.2k when used: this file.

Azure.AI.VoiceLive (.NET)

Real-time voice AI SDK for building bidirectional voice assistants with Azure AI.

Installation

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

Environment Variables

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

Authentication

Microsoft Entra Token Credential

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();
VoiceLiveClient client = new VoiceLiveClient(endpoint, credential);

Required Role: Cognitive Services User (assign in Azure Portal β†’ Access control)

API Key

Uri endpoint = new Uri("https://your-resource.cognitiveservices.azure.com");
AzureKeyCredential credential = new AzureKeyCredential("your-api-key");
VoiceLiveClient client = new VoiceLiveClient(endpoint, credential);

Client Hierarchy

VoiceLiveClient
└── VoiceLiveSession (WebSocket connection)
    β”œβ”€β”€ ConfigureSessionAsync()
    β”œβ”€β”€ GetUpdatesAsync() β†’ SessionUpdate events
    β”œβ”€β”€ AddItemAsync() β†’ UserMessageItem, FunctionCallOutputItem
    β”œβ”€β”€ SendAudioAsync()
    └── StartResponseAsync()

Core Workflow

1. Start Session and Configure

using Azure.Identity;
using Azure.AI.VoiceLive;

var endpoint = new Uri(Environment.GetEnvironmentVariable("AZURE_VOICELIVE_ENDPOINT"));
var client = new VoiceLiveClient(endpoint, new DefaultAzureCredential());

var model = "gpt-4o-mini-realtime-preview";

// Start session
using VoiceLiveSession session = await client.StartSessionAsync(model);

// Configure session
VoiceLiveSessionOptions sessionOptions = new()
{
    Model = model,
    Instructions = "You are a helpful AI assistant. Respond naturally.",
    Voice = new AzureStandardVoice("en-US-AvaNeural"),
    TurnDetection = new AzureSemanticVadTurnDetection()
    {
        Threshold = 0.5f,
        PrefixPadding = TimeSpan.FromMilliseconds(300),
        SilenceDuration = TimeSpan.FromMilliseconds(500)
    },
    InputAudioFormat = InputAudioFormat.Pcm16,
    OutputAudioFormat = OutputAudioFormat.Pcm16
};

// Set modalities (both text and audio for voice assistants)
sessionOptions.Modalities.Clear();
sessionOptions.Modalities.Add(InteractionModality.Text);
sessionOptions.Modalities.Add(InteractionModality.Audio);

await session.ConfigureSessionAsync(sessionOptions);

2. Process Events

await foreach (SessionUpdate serverEvent in session.GetUpdatesAsync())
{
    switch (serverEvent)
    {
        case SessionUpdateResponseAudioDelta audioDelta:
            byte[] audioData = audioDelta.Delta.ToArray();
            // Play audio via NAudio or other audio library
            break;
            
        case SessionUpdateResponseTextDelta textDelta:
            Console.Write(textDelta.Delta);
            break;
            
        case SessionUpdateResponseFunctionCallArgumentsDone functionCall:
            // Handle function call (see Function Calling section)
            break;
            
        case SessionUpdateError error:
            Console.WriteLine($"Error: {error.Error.Message}");
            break;
            
        case SessionUpdateResponseDone:
            Console.WriteLine("\n--- Response complete ---");
            break;
    }
}

3. Send User Message

await session.AddItemAsync(new UserMessageItem("Hello, can you help me?"));
await session.StartResponseAsync();

4. Function Calling

// Define function
var weatherFunction = new VoiceLiveFunctionDefinition("get_current_weather")
{
    Description = "Get the current weather for a given location",
    Parameters = BinaryData.FromString("""
        {
            "type": "object",
            "properties": {
                "location": {
                    "type": "string",
                    "description": "The city and state or country"
                }
            },
            "required": ["location"]
        }
        """)
};

// Add to session options
sessionOptions.Tools.Add(weatherFunction);

// Handle function call in event loop
if (serverEvent is SessionUpdateResponseFunctionCallArgumentsDone functionCall)
{
    if (functionCall.Name == "get_current_weather")
    {
        var parameters = JsonSerializer.Deserialize<Dictionary<string, string>>(functionCall.Arguments);
        string location = parameters?["location"] ?? "";
        
        // Call external service
        string weatherInfo = $"The weather in {location} is sunny, 75Β°F.";
        
        // Send response
        await session.AddItemAsync(new FunctionCallOutputItem(functionCall.CallId, weatherInfo));
        await session.StartResponseAsync();
    }
}

Voice Options

Voice Type Class Example
Azure Standard AzureStandardVoice "en-US-AvaNeural"
Azure HD AzureStandardVoice "en-US-Ava:DragonHDLatestNeural"
Azure Custom AzureCustomVoice Custom voice with endpoint ID

Supported Models

Model Description
gpt-4o-realtime-preview GPT-4o with real-time audio
gpt-4o-mini-realtime-preview Lightweight, fast interactions
phi4-mm-realtime Cost-effective multimodal

Key Types Reference

Type Purpose
VoiceLiveClient Main client for creating sessions
VoiceLiveSession Active WebSocket session
VoiceLiveSessionOptions Session configuration
AzureStandardVoice Standard Azure voice provider
AzureSemanticVadTurnDetection Voice activity detection
VoiceLiveFunctionDefinition Function tool definition
UserMessageItem User text message
FunctionCallOutputItem Function call response
SessionUpdateResponseAudioDelta Audio chunk event
SessionUpdateResponseTextDelta Text chunk event

Best Practices

  1. Always set both modalities β€” Include Text and Audio for voice assistants
  2. Use AzureSemanticVadTurnDetection β€” Provides natural conversation flow
  3. Configure appropriate silence duration β€” 500ms typical to avoid premature cutoffs
  4. Use using statement β€” Ensures proper session disposal
  5. Handle all event types β€” Check for errors, audio, text, and function calls
  6. Use DefaultAzureCredential β€” Never hardcode API keys

Error Handling

if (serverEvent is SessionUpdateError error)
{
    if (error.Error.Message.Contains("Cancellation failed: no active response"))
    {
        // Benign error, can ignore
    }
    else
    {
        Console.WriteLine($"Error: {error.Error.Message}");
    }
}

Audio Configuration

  • Input Format: InputAudioFormat.Pcm16 (16-bit PCM)
  • Output Format: OutputAudioFormat.Pcm16
  • Sample Rate: 24kHz recommended
  • Channels: Mono

Related SDKs

SDK Purpose Install
Azure.AI.VoiceLive Real-time voice (this SDK) dotnet add package Azure.AI.VoiceLive
Microsoft.CognitiveServices.Speech Speech-to-text, text-to-speech dotnet add package Microsoft.CognitiveServices.Speech
NAudio Audio capture/playback dotnet add package NAudio

Reference Links

Resource URL
NuGet Package https://www.nuget.org/packages/Azure.AI.VoiceLive
API Reference https://learn.microsoft.com/dotnet/api/azure.ai.voicelive
GitHub Source https://github.com/Azure/azure-sdk-for-net/tree/main/sdk/ai/Azure.AI.VoiceLive
Quickstart https://learn.microsoft.com/azure/ai-services/speech-service/voice-live-quickstart

Source: SKILL.md on GitHub

1 warning15d4 checks Β· Risk SAFE
  • Gen Agent Trust Hub15d

    This skill provides documentation and code samples for the Azure AI Voice Live SDK for .NET. It demonstrates how to build real-time voice applications using official Microsoft libraries and follows security best practices for credential management.

  • Socket15d

    No alerts

  • Snyk15d

    Risk: LOW Β· No issues

  • Runlayer7mo

    2/2 files flagged

Signed by skilld at 073741f. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

Last checked against GitHub 18 hours ago.

Activeupdated 5 months ago
Other metadata
metadata
{
  "author": "Microsoft",
  "version": "1.0.0",
  "package": "Azure.AI.VoiceLive"
}

README badge

README badge for microsoft/skills/azure-ai-voicelive-dotnet