Localized reading guide
azure-ai-voicelive-pyPurpose, usage and source
Build real-time voice AI applications using Azure AI Voice Live SDK (azure-ai-voicelive). Use this skill when creating Python applications that need real-time bidirectional audio communication with Azure AI, including voice assistants, voice-enabled chatbots, real-time speech-to-speech translation, voice-driven avatars, or any WebSocket-based audio streaming with AI models. Supports Server VAD (Voice Activity Detection), turn-based conversation, function calling, MCP tools, avatar integration, and transcription.
Source retrieved:
- Source repository
- microsoft/skills
- SKILL.md
.github/plugins/azure-sdk-python/skills/azure-ai-voicelive-py/SKILL.md- Repository stars
- 3,157
- Repository updated
- 2026-10-31
- Categories
- Cloud
- Last collected
License: MIT
Workflow excerpts are reading aids, not executable instructions from Codez. No third-party Skill was run to produce this page.
The purpose and workflow passages below are upstream material, organized and translated for reading. They are distinct from the separately labeled Codez editorial analysis.
What this Skill does
Build real-time voice AI applications using Azure AI Voice Live SDK (azure-ai-voicelive). Use this skill when creating Python applications that need real-time bidirectional audio communication with Azure AI, including voice assistants, voice-enabled chatbots, real-time speech-to-speech translation, voice-driven avatars, or any WebSocket-based audio streaming with AI models. Supports Server VAD (Voice Activity Detection), turn-based conversation, function calling, MCP tools, avatar integration, and transcription.
How the upstream workflow works
Azure AI Voice Live SDK
Build real-time voice AI applications with bidirectional WebSocket communication.
Upstream passage · L11 ↗Authentication & Lifecycle
> 🔑 Two rules apply to every code sample below: > > 1. It works locally (Azure CLI / VS Code / Developer CLI) and in Azure (managed identity, workload identity) with no code change.
Upstream passage · L29 ↗Legacy: API Key (existing keyed deployments)
New code should use DefaultAzureCredential above. Use AzureKeyCredential only if you have an existing keyed deployment that hasn't been migrated to Entra ID yet — for example, regulated environments still completing their Entra rollout.
Requirements and setup
pip install azure-ai-voicelive aiohttp azure-identityLimits and quality checks
No separate limits passage was selected from this file. This does not mean the Skill is safe for every input or environment. Review the complete source and validate your own result.
Start with a safe trial
- Check the supported host and the repository installation instructions. Keep the Skill directory and its referenced scripts, assets and documentation together; SKILL.md alone may omit dependencies.
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- Try the source workflow in a disposable project or on a copy. Review operations that change files, remote services or billable resources before allowing them.
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Read further in the source
Related Skills
Translation and scope
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- Source retrieved
- Source commit
00d66a64919edca5bca2c673373444e36a4b5461- Source SHA-256
8a765d22c122b71f8726aded787a45e248ed3823fdf373cc041d3adc2a5814f5