azure-ai-voicelive-py
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.
npx skills add majiayu000/claude-skill-registry --skill azure-ai-voicelive-py --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Azure AI Voice Live SDK Build real-time voice AI applications with bidirectional WebSocket communication. ## Installation ```bash pip install azure-ai-voicelive aiohttp azure-identity ``` ## Environment Variables ```bash AZURE_COGNITIVE_SERVICES_ENDPOINT=https://<region>.api.cognitive.microsoft.com # For API key auth (not recommended for production) AZURE_COGNITIVE_SERVICES_KEY=<api-key> ``` ## Authentication **DefaultAzureCredential (preferred)**: ```python from azure.ai.voicelive.aio import connect from azure.identity.aio import DefaultAzureCredential async with connect( endpoint=os.environ["AZURE_COGNITIVE_SERVICES_ENDPOINT"], credential=DefaultAzureCredential(), model="gpt-4o-realtime-preview", credential_scopes=["https://cognitiveservices.azure.com/.default"] ) as conn: ... ``` **API Key**: ```python from azure.ai.voicelive.aio import connect from azure.core.credentials import AzureKeyCredential async with connect( endpoint=os.environ["AZURE_COGNITIVE_SERVICES_ENDPOINT"], credential=AzureKeyCredential(os.environ["AZURE_COGNITIVE_SERVICES_KEY"]), model="gpt-4o-realtime-preview" ) as conn: ... ``` ## Quick Start ```python import asyncio import os from azure.ai.voicelive.aio im
- Installation
- Environment Variables
- Authentication
- Quick Start
- Core Architecture
- Connection Resources
- Session Configuration
- Audio Streaming
- Send Audio (Base64 PCM16)
- Receive Audio
- Event Handling
- Common Patterns
- Manual Turn Mode (No VAD)
- Interrupt Handling
pip install azure-ai-voicelive aiohttp azure-identity For API key auth (not recommended for production)
What does the azure-ai-voicelive-py skill do?
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 do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill azure-ai-voicelive-py --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.