azure-ai-voicelive-dotnet Skill
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 Published by microsoft in skills.
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Deployment, Includes SKILL.md, Reusable instructions
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2 months ago · MIT license
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What is azure-ai-voicelive-dotnet Skill?
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 Published by microsoft in skills. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.
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Key capabilities
- Includes SKILL.md support
- Reusable instructions support
- Deployment
- Deployment use cases
Declared skill metadata
- Declared author: Microsoft
- Declared license: MIT
- Source file: .github/plugins/azure-sdk-dotnet/skills/azure-ai-voicelive-dotnet/SKILL.md
These fields retain source and confidence evidence from the indexed SKILL.md.
Compatibility and setup
- Install or run with Copy skill directory
- API key required
Requirements and access
Security and permissions
Review permissions before connecting any MCP server to an agent. Pay special attention to whether it can read local files, write data, call external services, or perform destructive actions.
When to use azure-ai-voicelive-dotnet Skill
- Use it for deployment.
Built with
Editorial notes
Source
- Creator: microsoft
- Repository: microsoft/skills
- Skill file: .github/plugins/azure-sdk-dotnet/skills/azure-ai-voicelive-dotnet/SKILL.md
What it does
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
Skill instructions
Azure.AI.VoiceLive (.NET) Real-time voice AI SDK for building bidirectional voice assistants with Azure AI. Installation bash 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 bash AZUREVOICELIVEENDPOINT=https://<resource.services.ai.azure.com/ Required: Voice Live endpoint AZUREVOICELIVEMODEL=gpt-4o-realtime-preview Required: model deployment name AZUREVOICELIVEVOICE=en-US-AvaNeural Optional: Voice Live voice name AZUREVOICELIVEAPIKEY=<your-api-key Only required for AzureKeyCredential auth AZURETOKENCREDENTIALS=prod Required only if DefaultAzureCredential is used in production Authentication Microsoft Entra Token Credential csharp using Azure.Identity; using Azure.AI.VoiceLive; Uri endpoint = new Uri("https://your-resource.cognitiveservices.azure.com"); // Local dev: DefaultAzureCredential. Production: set AZURETOKENCREDENTIALS=prod or
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Frequently asked questions
What is azure-ai-voicelive-dotnet?
azure-ai-voicelive-dotnet is a open-source AI agent skill with Copy skill directory. Azure AI Voice Live SDK for .NET. Build real-time voice AI applications with bidirectional WebSocket communication.
Who is azure-ai-voicelive-dotnet best for?
azure-ai-voicelive-dotnet is best for reusing agent instructions, scripts, and references, deployment workflows.
How do I install azure-ai-voicelive-dotnet?
Install or run azure-ai-voicelive-dotnet using Copy skill directory. Check azure-ai-voicelive-dotnet for the latest setup command.
Is azure-ai-voicelive-dotnet actively maintained?
azure-ai-voicelive-dotnet may need a closer maintenance check before production use.
Project health auto-fetched from the source repository.
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Review this source-backed profile, send a correction with evidence, or link to it from your documentation. Claims verify your relationship to the project; profile facts still require source evidence and editorial review.
