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Build real-time voice AI applications with bidirectional WebSocket communication.","Sam-06060\u002Fjarvis-assistant","Sam-06060","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F208600848?v=4","01M6CRKT7C7FXD21V6HXF293S0","Samson Frank Ganta","01M6CRKTBEKYFD8YX5Z1GT99EE",6,"Apache-2.0","https:\u002F\u002Fgithub.com\u002FSam-06060\u002Fjarvis-assistant\u002Fblob\u002Fmain\u002Fmodules\u002Fagent_skills\u002Fawesome-skills\u002Fplaybooks\u002Fazure-ai-voicelive-dotnet\u002FSKILL.md",[],[19,20,21,22,23,24,25,26,27,28,29,30],"dotnet","azure ai","azure","azure ai voicelive dotnet","sdk","communication","websocket","real-time","applications","voice","build","community","2026-11-10 10:12:30",false,"---\nname: azure-ai-voicelive-dotnet\ndescription: Azure AI Voice Live SDK for .NET. Build real-time voice AI applications with bidirectional WebSocket communication.\nrisk: unknown\nsource: community\ndate_added: '2026-02-27'\n---\n\n# Azure.AI.VoiceLive (.NET)\n\nReal-time voice AI SDK for building bidirectional voice assistants with Azure AI.\n\n## Installation\n\n```bash\ndotnet add package Azure.AI.VoiceLive\ndotnet add package Azure.Identity\ndotnet add package NAudio                    # For audio capture\u002Fplayback\n```\n\n**Current Versions**: Stable v1.0.0, Preview v1.1.0-beta.1\n\n## Environment Variables\n\n```bash\nAZURE_VOICELIVE_ENDPOINT=https:\u002F\u002F\u003Cresource>.services.ai.azure.com\u002F\nAZURE_VOICELIVE_MODEL=gpt-4o-realtime-preview\nAZURE_VOICELIVE_VOICE=en-US-AvaNeural\n# Optional: API key if not using Entra ID\nAZURE_VOICELIVE_API_KEY=\u003Cyour-api-key>\n```\n\n## Authentication\n\n### Microsoft Entra ID (Recommended)\n\n```csharp\nusing Azure.Identity;\nusing Azure.AI.VoiceLive;\n\nUri endpoint = new Uri(\"https:\u002F\u002Fyour-resource.cognitiveservices.azure.com\");\nDefaultAzureCredential credential = new DefaultAzureCredential();\nVoiceLiveClient client = new VoiceLiveClient(endpoint, credential);\n```\n\n**Required Role**: `Cognitive Services User` (assign in Azure Portal → Access control)\n\n### API Key\n\n```csharp\nUri endpoint = new Uri(\"https:\u002F\u002Fyour-resource.cognitiveservices.azure.com\");\nAzureKeyCredential credential = new AzureKeyCredential(\"your-api-key\");\nVoiceLiveClient client = new VoiceLiveClient(endpoint, credential);\n```\n\n## Client Hierarchy\n\n```\nVoiceLiveClient\n└── VoiceLiveSession (WebSocket connection)\n    ├── ConfigureSessionAsync()\n    ├── GetUpdatesAsync() → SessionUpdate events\n    ├── AddItemAsync() → UserMessageItem, FunctionCallOutputItem\n    ├── SendAudioAsync()\n    └── StartResponseAsync()\n```\n\n## Core Workflow\n\n### 1. Start Session and Configure\n\n```csharp\nusing Azure.Identity;\nusing Azure.AI.VoiceLive;\n\nvar endpoint = new Uri(Environment.GetEnvironmentVariable(\"AZURE_VOICELIVE_ENDPOINT\"));\nvar client = new VoiceLiveClient(endpoint, new DefaultAzureCredential());\n\nvar model = \"gpt-4o-mini-realtime-preview\";\n\n\u002F\u002F Start session\nusing VoiceLiveSession session = await client.StartSessionAsync(model);\n\n\u002F\u002F Configure session\nVoiceLiveSessionOptions sessionOptions = new()\n{\n    Model = model,\n    Instructions = \"You are a helpful AI assistant. Respond naturally.\",\n    Voice = new AzureStandardVoice(\"en-US-AvaNeural\"),\n    TurnDetection = new AzureSemanticVadTurnDetection()\n    {\n        Threshold = 0.5f,\n        PrefixPadding = TimeSpan.FromMilliseconds(300),\n        SilenceDuration = TimeSpan.FromMilliseconds(500)\n    },\n    InputAudioFormat = InputAudioFormat.Pcm16,\n    OutputAudioFormat = OutputAudioFormat.Pcm16\n};\n\n\u002F\u002F Set modalities (both text and audio for voice assistants)\nsessionOptions.Modalities.Clear();\nsessionOptions.Modalities.Add(InteractionModality.Text);\nsessionOptions.Modalities.Add(InteractionModality.Audio);\n\nawait session.ConfigureSessionAsync(sessionOptions);\n```\n\n### 2. Process Events\n\n```csharp\nawait foreach (SessionUpdate serverEvent in session.GetUpdatesAsync())\n{\n    switch (serverEvent)\n    {\n        case SessionUpdateResponseAudioDelta audioDelta:\n            byte[] audioData = audioDelta.Delta.ToArray();\n            \u002F\u002F Play audio via NAudio or other audio library\n            break;\n            \n        case SessionUpdateResponseTextDelta textDelta:\n            Console.Write(textDelta.Delta);\n            break;\n            \n        case SessionUpdateResponseFunctionCallArgumentsDone functionCall:\n            \u002F\u002F Handle function call (see Function Calling section)\n            break;\n            \n        case SessionUpdateError error:\n            Console.WriteLine($\"Error: {error.Error.Message}\");\n            break;\n            \n        case SessionUpdateResponseDone:\n            Console.WriteLine(\"\\n--- Response complete ---\");\n            break;\n    }\n}\n```\n\n### 3. Send User Message\n\n```csharp\nawait session.AddItemAsync(new UserMessageItem(\"Hello, can you help me?\"));\nawait session.StartResponseAsync();\n```\n\n### 4. Function Calling\n\n```csharp\n\u002F\u002F Define function\nvar weatherFunction = new VoiceLiveFunctionDefinition(\"get_current_weather\")\n{\n    Description = \"Get the current weather for a given location\",\n    Parameters = BinaryData.FromString(\"\"\"\n        {\n            \"type\": \"object\",\n            \"properties\": {\n                \"location\": {\n                    \"type\": \"string\",\n                    \"description\": \"The city and state or country\"\n                }\n            },\n            \"required\": [\"location\"]\n        }\n        \"\"\")\n};\n\n\u002F\u002F Add to session options\nsessionOptions.Tools.Add(weatherFunction);\n\n\u002F\u002F Handle function call in event loop\nif (serverEvent is SessionUpdateResponseFunctionCallArgumentsDone functionCall)\n{\n    if (functionCall.Name == \"get_current_weather\")\n    {\n        var parameters = JsonSerializer.Deserialize\u003CDictionary\u003Cstring, string>>(functionCall.Arguments);\n        string location = parameters?[\"location\"] ?? \"\";\n        \n        \u002F\u002F Call external service\n        string weatherInfo = $\"The weather in {location} is sunny, 75°F.\";\n        \n        \u002F\u002F Send response\n        await session.AddItemAsync(new FunctionCallOutputItem(functionCall.CallId, weatherInfo));\n        await session.StartResponseAsync();\n    }\n}\n```\n\n## Voice Options\n\n| Voice Type | Class | Example |\n|------------|-------|---------|\n| Azure Standard | `AzureStandardVoice` | `\"en-US-AvaNeural\"` |\n| Azure HD | `AzureStandardVoice` | `\"en-US-Ava:DragonHDLatestNeural\"` |\n| Azure Custom | `AzureCustomVoice` | Custom voice with endpoint ID |\n\n## Supported Models\n\n| Model | Description |\n|-------|-------------|\n| `gpt-4o-realtime-preview` | GPT-4o with real-time audio |\n| `gpt-4o-mini-realtime-preview` | Lightweight, fast interactions |\n| `phi4-mm-realtime` | Cost-effective multimodal |\n\n## Key Types Reference\n\n| Type | Purpose |\n|------|---------|\n| `VoiceLiveClient` | Main client for creating sessions |\n| `VoiceLiveSession` | Active WebSocket session |\n| `VoiceLiveSessionOptions` | Session configuration |\n| `AzureStandardVoice` | Standard Azure voice provider |\n| `AzureSemanticVadTurnDetection` | Voice activity detection |\n| `VoiceLiveFunctionDefinition` | Function tool definition |\n| `UserMessageItem` | User text message |\n| `FunctionCallOutputItem` | Function call response |\n| `SessionUpdateResponseAudioDelta` | Audio chunk event |\n| `SessionUpdateResponseTextDelta` | Text chunk event |\n\n## Best Practices\n\n1. **Always set both modalities** — Include `Text` and `Audio` for voice assistants\n2. **Use `AzureSemanticVadTurnDetection`** — Provides natural conversation flow\n3. **Configure appropriate silence duration** — 500ms typical to avoid premature cutoffs\n4. **Use `using` statement** — Ensures proper session disposal\n5. **Handle all event types** — Check for errors, audio, text, and function calls\n6. **Use DefaultAzureCredential** — Never hardcode API keys\n\n## Error Handling\n\n```csharp\nif (serverEvent is SessionUpdateError error)\n{\n    if (error.Error.Message.Contains(\"Cancellation failed: no active response\"))\n    {\n        \u002F\u002F Benign error, can ignore\n    }\n    else\n    {\n        Console.WriteLine($\"Error: {error.Error.Message}\");\n    }\n}\n```\n\n## Audio Configuration\n\n- **Input Format**: `InputAudioFormat.Pcm16` (16-bit PCM)\n- **Output Format**: `OutputAudioFormat.Pcm16`\n- **Sample Rate**: 24kHz recommended\n- **Channels**: Mono\n\n## Related SDKs\n\n| SDK | Purpose | Install |\n|-----|---------|---------|\n| `Azure.AI.VoiceLive` | Real-time voice (this SDK) | `dotnet add package Azure.AI.VoiceLive` |\n| `Microsoft.CognitiveServices.Speech` | Speech-to-text, text-to-speech | `dotnet add package Microsoft.CognitiveServices.Speech` |\n| `NAudio` | Audio capture\u002Fplayback | `dotnet add package NAudio` |\n\n## Reference Links\n\n| Resource | URL |\n|----------|-----|\n| NuGet Package | https:\u002F\u002Fwww.nuget.org\u002Fpackages\u002FAzure.AI.VoiceLive |\n| API Reference | https:\u002F\u002Flearn.microsoft.com\u002Fdotnet\u002Fapi\u002Fazure.ai.voicelive |\n| GitHub Source | https:\u002F\u002Fgithub.com\u002FAzure\u002Fazure-sdk-for-net\u002Ftree\u002Fmain\u002Fsdk\u002Fai\u002FAzure.AI.VoiceLive |\n| Quickstart | https:\u002F\u002Flearn.microsoft.com\u002Fazure\u002Fai-services\u002Fspeech-service\u002Fvoice-live-quickstart |\n\n## When to Use\nThis skill is applicable to execute the workflow or actions described in the overview.\n","# Azure.AI.VoiceLive (.NET)\n\nReal-time voice AI SDK for building bidirectional voice assistants with Azure AI.\n\n## Installation\n\n```bash\ndotnet add package Azure.AI.VoiceLive\ndotnet add package Azure.Identity\ndotnet add package NAudio                    # For audio capture\u002Fplayback\n```\n\n**Current Versions**: Stable v1.0.0, Preview v1.1.0-beta.1\n\n## Environment Variables\n\n```bash\nAZURE_VOICELIVE_ENDPOINT=https:\u002F\u002F\u003Cresource>.services.ai.azure.com\u002F\nAZURE_VOICELIVE_MODEL=gpt-4o-realtime-preview\nAZURE_VOICELIVE_VOICE=en-US-AvaNeural\n# Optional: API key if not using Entra ID\nAZURE_VOICELIVE_API_KEY=\u003Cyour-api-key>\n```\n\n## Authentication\n\n### Microsoft Entra ID (Recommended)\n\n```csharp\nusing Azure.Identity;\nusing Azure.AI.VoiceLive;\n\nUri endpoint = new Uri(\"https:\u002F\u002Fyour-resource.cognitiveservices.azure.com\");\nDefaultAzureCredential credential = new DefaultAzureCredential();\nVoiceLiveClient client = new VoiceLiveClient(endpoint, credential);\n```\n\n**Required Role**: `Cognitive Services User` (assign in Azure Portal → Access control)\n\n### API Key\n\n```csharp\nUri endpoint = new Uri(\"https:\u002F\u002Fyour-resource.cognitiveservices.azure.com\");\nAzureKeyCredential credential = new AzureKeyCredential(\"your-api-key\");\nVoiceLiveClient client = new VoiceLiveClient(endpoint, credential);\n```\n\n## Client Hierarchy\n\n```\nVoiceLiveClient\n└── VoiceLiveSession (WebSocket connection)\n    ├── ConfigureSessionAsync()\n    ├── GetUpdatesAsync() → SessionUpdate events\n    ├── AddItemAsync() → UserMessageItem, FunctionCallOutputItem\n    ├── SendAudioAsync()\n    └── StartResponseAsync()\n```\n\n## Core Workflow\n\n### 1. Start Session and Configure\n\n```csharp\nusing Azure.Identity;\nusing Azure.AI.VoiceLive;\n\nvar endpoint = new Uri(Environment.GetEnvironmentVariable(\"AZURE_VOICELIVE_ENDPOINT\"));\nvar client = new VoiceLiveClient(endpoint, new DefaultAzureCredential());\n\nvar model = \"gpt-4o-mini-realtime-preview\";\n\n\u002F\u002F Start session\nusing VoiceLiveSession session = await client.StartSessionAsync(model);\n\n\u002F\u002F Configure session\nVoiceLiveSessionOptions sessionOptions = new()\n{\n    Model = model,\n    Instructions = \"You are a helpful AI assistant. Respond naturally.\",\n    Voice = new AzureStandardVoice(\"en-US-AvaNeural\"),\n    TurnDetection = new AzureSemanticVadTurnDetection()\n    {\n        Threshold = 0.5f,\n        PrefixPadding = TimeSpan.FromMilliseconds(300),\n        SilenceDuration = TimeSpan.FromMilliseconds(500)\n    },\n    InputAudioFormat = InputAudioFormat.Pcm16,\n    OutputAudioFormat = OutputAudioFormat.Pcm16\n};\n\n\u002F\u002F Set modalities (both text and audio for voice assistants)\nsessionOptions.Modalities.Clear();\nsessionOptions.Modalities.Add(InteractionModality.Text);\nsessionOptions.Modalities.Add(InteractionModality.Audio);\n\nawait session.ConfigureSessionAsync(sessionOptions);\n```\n\n### 2. Process Events\n\n```csharp\nawait foreach (SessionUpdate serverEvent in session.GetUpdatesAsync())\n{\n    switch (serverEvent)\n    {\n        case SessionUpdateResponseAudioDelta audioDelta:\n            byte[] audioData = audioDelta.Delta.ToArray();\n            \u002F\u002F Play audio via NAudio or other audio library\n            break;\n            \n        case SessionUpdateResponseTextDelta textDelta:\n            Console.Write(textDelta.Delta);\n            break;\n            \n        case SessionUpdateResponseFunctionCallArgumentsDone functionCall:\n            \u002F\u002F Handle function call (see Function Calling section)\n            break;\n            \n        case SessionUpdateError error:\n            Console.WriteLine($\"Error: {error.Error.Message}\");\n            break;\n            \n        case SessionUpdateResponseDone:\n            Console.WriteLine(\"\\n--- Response complete ---\");\n            break;\n    }\n}\n```\n\n### 3. Send User Message\n\n```csharp\nawait session.AddItemAsync(new UserMessageItem(\"Hello, can you help me?\"));\nawait session.StartResponseAsync();\n```\n\n### 4. Function Calling\n\n```csharp\n\u002F\u002F Define function\nvar weatherFunction = new VoiceLiveFunctionDefinition(\"get_current_weather\")\n{\n    Description = \"Get the current weather for a given location\",\n    Parameters = BinaryData.FromString(\"\"\"\n        {\n            \"type\": \"object\",\n            \"properties\": {\n                \"location\": {\n                    \"type\": \"string\",\n                    \"description\": \"The city and state or country\"\n                }\n            },\n            \"required\": [\"location\"]\n        }\n        \"\"\")\n};\n\n\u002F\u002F Add to session options\nsessionOptions.Tools.Add(weatherFunction);\n\n\u002F\u002F Handle function call in event loop\nif (serverEvent is SessionUpdateResponseFunctionCallArgumentsDone functionCall)\n{\n    if (functionCall.Name == \"get_current_weather\")\n    {\n        var parameters = JsonSerializer.Deserialize\u003CDictionary\u003Cstring, string>>(functionCall.Arguments);\n        string location = parameters?[\"location\"] ?? \"\";\n        \n        \u002F\u002F Call external service\n        string weatherInfo = $\"The weather in {location} is sunny, 75°F.\";\n        \n        \u002F\u002F Send response\n        await session.AddItemAsync(new FunctionCallOutputItem(functionCall.CallId, weatherInfo));\n        await session.StartResponseAsync();\n    }\n}\n```\n\n## Voice Options\n\n| Voice Type | Class | Example |\n|------------|-------|---------|\n| Azure Standard | `AzureStandardVoice` | `\"en-US-AvaNeural\"` |\n| Azure HD | `AzureStandardVoice` | `\"en-US-Ava:DragonHDLatestNeural\"` |\n| Azure Custom | `AzureCustomVoice` | Custom voice with endpoint ID |\n\n## Supported Models\n\n| Model | Description |\n|-------|-------------|\n| `gpt-4o-realtime-preview` | GPT-4o with real-time audio |\n| `gpt-4o-mini-realtime-preview` | Lightweight, fast interactions |\n| `phi4-mm-realtime` | Cost-effective multimodal |\n\n## Key Types Reference\n\n| Type | Purpose |\n|------|---------|\n| `VoiceLiveClient` | Main client for creating sessions |\n| `VoiceLiveSession` | Active WebSocket session |\n| `VoiceLiveSessionOptions` | Session configuration |\n| `AzureStandardVoice` | Standard Azure voice provider |\n| `AzureSemanticVadTurnDetection` | Voice activity detection |\n| `VoiceLiveFunctionDefinition` | Function tool definition |\n| `UserMessageItem` | User text message |\n| `FunctionCallOutputItem` | Function call response |\n| `SessionUpdateResponseAudioDelta` | Audio chunk event |\n| `SessionUpdateResponseTextDelta` | Text chunk event |\n\n## Best Practices\n\n1. **Always set both modalities** — Include `Text` and `Audio` for voice assistants\n2. **Use `AzureSemanticVadTurnDetection`** — Provides natural conversation flow\n3. **Configure appropriate silence duration** — 500ms typical to avoid premature cutoffs\n4. **Use `using` statement** — Ensures proper session disposal\n5. **Handle all event types** — Check for errors, audio, text, and function calls\n6. **Use DefaultAzureCredential** — Never hardcode API keys\n\n## Error Handling\n\n```csharp\nif (serverEvent is SessionUpdateError error)\n{\n    if (error.Error.Message.Contains(\"Cancellation failed: no active response\"))\n    {\n        \u002F\u002F Benign error, can ignore\n    }\n    else\n    {\n        Console.WriteLine($\"Error: {error.Error.Message}\");\n    }\n}\n```\n\n## Audio Configuration\n\n- **Input Format**: `InputAudioFormat.Pcm16` (16-bit PCM)\n- **Output Format**: `OutputAudioFormat.Pcm16`\n- **Sample Rate**: 24kHz recommended\n- **Channels**: Mono\n\n## Related SDKs\n\n| SDK | Purpose | Install |\n|-----|---------|---------|\n| `Azure.AI.VoiceLive` | Real-time voice (this SDK) | `dotnet add package Azure.AI.VoiceLive` |\n| `Microsoft.CognitiveServices.Speech` | Speech-to-text, text-to-speech | `dotnet add package Microsoft.CognitiveServices.Speech` |\n| `NAudio` | Audio capture\u002Fplayback | `dotnet add package NAudio` |\n\n## Reference Links\n\n| Resource | URL |\n|----------|-----|\n| NuGet Package | https:\u002F\u002Fwww.nuget.org\u002Fpackages\u002FAzure.AI.VoiceLive |\n| API Reference | https:\u002F\u002Flearn.microsoft.com\u002Fdotnet\u002Fapi\u002Fazure.ai.voicelive |\n| GitHub Source | https:\u002F\u002Fgithub.com\u002FAzure\u002Fazure-sdk-for-net\u002Ftree\u002Fmain\u002Fsdk\u002Fai\u002FAzure.AI.VoiceLive |\n| Quickstart | https:\u002F\u002Flearn.microsoft.com\u002Fazure\u002Fai-services\u002Fspeech-service\u002Fvoice-live-quickstart |\n\n## When to Use\nThis skill is applicable to execute the workflow or actions described in the overview.\n",{"name":5,"risk":36,"source":30,"date_added":37,"description":7},"unknown","2026-02-27","main","a50a3aa6b39fb0e1b7db88bef1bfc9c93606e126","modules\u002Fagent_skills\u002Fawesome-skills\u002Fplaybooks\u002Fazure-ai-voicelive-dotnet",0,"https:\u002F\u002Fgithub.com\u002FSam-06060\u002Fjarvis-assistant","https:\u002F\u002Fgithub.com\u002FSam-06060","Mobile Application 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Use for auditing C\u002FC++\u002FRust code handling secrets, keys, passwords, or other sensitive data.","https:\u002F\u002Fgithub.com\u002FSam-06060\u002Fjarvis-assistant\u002Fblob\u002Fmain\u002Fmodules\u002Fagent_skills\u002Fawesome-skills\u002Fplaybooks\u002Fzeroize-audit\u002FSKILL.md",[169],{"categoryNo":97,"categoryName":98,"taxonomyType":69,"taxonomyTypeDesc":70},[171,172,173,174,175,176,177,178,30,179,180,181,182,183,184,185,186,187,188,106],"zeroize audit","audit","write","passwords","get","project","c++","activate","assembly","read","Bash","secrets","analysis","data","flow","verification","code","rust"]