# Send Azure Ai Voicelive Py to your agent Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually. ## Fast path - Download the package from Yavira. - Extract it into a folder your agent can access. - Paste one of the prompts below and point your agent at the extracted folder. ## Suggested prompts ### New install ```text I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete. ``` ### Upgrade existing ```text I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run. ``` ## Machine-readable fields ```json { "schemaVersion": "1.0", "item": { "slug": "azure-ai-voicelive-py", "name": "Azure Ai Voicelive Py", "source": "tencent", "type": "skill", "category": "效率提升", "sourceUrl": "https://clawhub.ai/thegovind/azure-ai-voicelive-py", "canonicalUrl": "https://clawhub.ai/thegovind/azure-ai-voicelive-py", "targetPlatform": "OpenClaw" }, "install": { "downloadUrl": "/downloads/azure-ai-voicelive-py", "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=azure-ai-voicelive-py", "sourcePlatform": "tencent", "targetPlatform": "OpenClaw", "packageFormat": "ZIP package", "primaryDoc": "SKILL.md", "includedAssets": [ "SKILL.md", "references/api-reference.md", "references/examples.md", "references/models.md" ], "downloadMode": "redirect", "sourceHealth": { "source": "tencent", "status": "healthy", "reason": "direct_download_ok", "recommendedAction": "download", "checkedAt": "2026-04-23T16:43:11.935Z", "expiresAt": "2026-04-30T16:43:11.935Z", "httpStatus": 200, "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=4claw-imageboard", "contentType": "application/zip", "probeMethod": "head", "details": { "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=4claw-imageboard", "contentDisposition": "attachment; filename=\"4claw-imageboard-1.0.1.zip\"", "redirectLocation": null, "bodySnippet": null }, "scope": "source", "summary": "Source download looks usable.", "detail": "Yavira can redirect you to the upstream package for this source.", "primaryActionLabel": "Download for OpenClaw", "primaryActionHref": "/downloads/azure-ai-voicelive-py" }, "validation": { "installChecklist": [ "Use the Yavira download entry.", "Review SKILL.md after the package is downloaded.", "Confirm the extracted package contains the expected setup assets." ], "postInstallChecks": [ "Confirm the extracted package includes the expected docs or setup files.", "Validate the skill or prompts are available in your target agent workspace.", "Capture any manual follow-up steps the agent could not complete." ] } }, "links": { "detailUrl": "https://openagent3.xyz/skills/azure-ai-voicelive-py", "downloadUrl": "https://openagent3.xyz/downloads/azure-ai-voicelive-py", "agentUrl": "https://openagent3.xyz/skills/azure-ai-voicelive-py/agent", "manifestUrl": "https://openagent3.xyz/skills/azure-ai-voicelive-py/agent.json", "briefUrl": "https://openagent3.xyz/skills/azure-ai-voicelive-py/agent.md" } } ``` ## Documentation ### Azure AI Voice Live SDK Build real-time voice AI applications with bidirectional WebSocket communication. ### Installation pip install azure-ai-voicelive aiohttp azure-identity ### Environment Variables AZURE_COGNITIVE_SERVICES_ENDPOINT=https://.api.cognitive.microsoft.com # For API key auth (not recommended for production) AZURE_COGNITIVE_SERVICES_KEY= ### Authentication DefaultAzureCredential (preferred): 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: 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 import asyncio import os from azure.ai.voicelive.aio import connect from azure.identity.aio import DefaultAzureCredential async def main(): 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: # Update session with instructions await conn.session.update(session={ "instructions": "You are a helpful assistant.", "modalities": ["text", "audio"], "voice": "alloy" }) # Listen for events async for event in conn: print(f"Event: {event.type}") if event.type == "response.audio_transcript.done": print(f"Transcript: {event.transcript}") elif event.type == "response.done": break asyncio.run(main()) ### Connection Resources The VoiceLiveConnection exposes these resources: ResourcePurposeKey Methodsconn.sessionSession configurationupdate(session=...)conn.responseModel responsescreate(), cancel()conn.input_audio_bufferAudio inputappend(), commit(), clear()conn.output_audio_bufferAudio outputclear()conn.conversationConversation stateitem.create(), item.delete(), item.truncate()conn.transcription_sessionTranscription configupdate(session=...) ### Session Configuration from azure.ai.voicelive.models import RequestSession, FunctionTool await conn.session.update(session=RequestSession( instructions="You are a helpful voice assistant.", modalities=["text", "audio"], voice="alloy", # or "echo", "shimmer", "sage", etc. input_audio_format="pcm16", output_audio_format="pcm16", turn_detection={ "type": "server_vad", "threshold": 0.5, "prefix_padding_ms": 300, "silence_duration_ms": 500 }, tools=[ FunctionTool( type="function", name="get_weather", description="Get current weather", parameters={ "type": "object", "properties": { "location": {"type": "string"} }, "required": ["location"] } ) ] )) ### Send Audio (Base64 PCM16) import base64 # Read audio chunk (16-bit PCM, 24kHz mono) audio_chunk = await read_audio_from_microphone() b64_audio = base64.b64encode(audio_chunk).decode() await conn.input_audio_buffer.append(audio=b64_audio) ### Receive Audio async for event in conn: if event.type == "response.audio.delta": audio_bytes = base64.b64decode(event.delta) await play_audio(audio_bytes) elif event.type == "response.audio.done": print("Audio complete") ### Event Handling async for event in conn: match event.type: # Session events case "session.created": print(f"Session: {event.session}") case "session.updated": print("Session updated") # Audio input events case "input_audio_buffer.speech_started": print(f"Speech started at {event.audio_start_ms}ms") case "input_audio_buffer.speech_stopped": print(f"Speech stopped at {event.audio_end_ms}ms") # Transcription events case "conversation.item.input_audio_transcription.completed": print(f"User said: {event.transcript}") case "conversation.item.input_audio_transcription.delta": print(f"Partial: {event.delta}") # Response events case "response.created": print(f"Response started: {event.response.id}") case "response.audio_transcript.delta": print(event.delta, end="", flush=True) case "response.audio.delta": audio = base64.b64decode(event.delta) case "response.done": print(f"Response complete: {event.response.status}") # Function calls case "response.function_call_arguments.done": result = handle_function(event.name, event.arguments) await conn.conversation.item.create(item={ "type": "function_call_output", "call_id": event.call_id, "output": json.dumps(result) }) await conn.response.create() # Errors case "error": print(f"Error: {event.error.message}") ### Manual Turn Mode (No VAD) await conn.session.update(session={"turn_detection": None}) # Manually control turns await conn.input_audio_buffer.append(audio=b64_audio) await conn.input_audio_buffer.commit() # End of user turn await conn.response.create() # Trigger response ### Interrupt Handling async for event in conn: if event.type == "input_audio_buffer.speech_started": # User interrupted - cancel current response await conn.response.cancel() await conn.output_audio_buffer.clear() ### Conversation History # Add system message await conn.conversation.item.create(item={ "type": "message", "role": "system", "content": [{"type": "input_text", "text": "Be concise."}] }) # Add user message await conn.conversation.item.create(item={ "type": "message", "role": "user", "content": [{"type": "input_text", "text": "Hello!"}] }) await conn.response.create() ### Voice Options VoiceDescriptionalloyNeutral, balancedechoWarm, conversationalshimmerClear, professionalsageCalm, authoritativecoralFriendly, upbeatashDeep, measuredballadExpressiveverseStorytelling Azure voices: Use AzureStandardVoice, AzureCustomVoice, or AzurePersonalVoice models. ### Audio Formats FormatSample RateUse Casepcm1624kHzDefault, high qualitypcm16-8000hz8kHzTelephonypcm16-16000hz16kHzVoice assistantsg711_ulaw8kHzTelephony (US)g711_alaw8kHzTelephony (EU) ### Turn Detection Options # Server VAD (default) {"type": "server_vad", "threshold": 0.5, "silence_duration_ms": 500} # Azure Semantic VAD (smarter detection) {"type": "azure_semantic_vad"} {"type": "azure_semantic_vad_en"} # English optimized {"type": "azure_semantic_vad_multilingual"} ### Error Handling from azure.ai.voicelive.aio import ConnectionError, ConnectionClosed try: async with connect(...) as conn: async for event in conn: if event.type == "error": print(f"API Error: {event.error.code} - {event.error.message}") except ConnectionClosed as e: print(f"Connection closed: {e.code} - {e.reason}") except ConnectionError as e: print(f"Connection error: {e}") ### References Detailed API Reference: See references/api-reference.md Complete Examples: See references/examples.md All Models & Types: See references/models.md ## Trust - Source: tencent - Verification: Indexed source record - Publisher: thegovind - Version: 0.1.0 ## Source health - Status: healthy - Source download looks usable. - Yavira can redirect you to the upstream package for this source. - Health scope: source - Reason: direct_download_ok - Checked at: 2026-04-23T16:43:11.935Z - Expires at: 2026-04-30T16:43:11.935Z - Recommended action: Download for OpenClaw ## Links - [Detail page](https://openagent3.xyz/skills/azure-ai-voicelive-py) - [Send to Agent page](https://openagent3.xyz/skills/azure-ai-voicelive-py/agent) - [JSON manifest](https://openagent3.xyz/skills/azure-ai-voicelive-py/agent.json) - [Markdown brief](https://openagent3.xyz/skills/azure-ai-voicelive-py/agent.md) - [Download page](https://openagent3.xyz/downloads/azure-ai-voicelive-py)