Quickstart: Create a voice live real-time voice agent with Azure AI Foundry Agent Service

In this article, you learn how to use voice live with Azure AI Foundry Agent Service and Azure AI Speech in the Azure AI Foundry portal.

You can create and run an application to use voice live with agents for real-time voice agents.

• Using agents allows leveraging a built-in prompt and configuration managed within the agent itself, rather than specifying instructions in the session code.

• Agents encapsulate more complex logic and behaviors, making it easier to manage and update conversational flows without changing the client code.

• The agent approach streamlines integration. The agent ID is used to connect and all necessary settings are handled internally, reducing the need for manual configuration in the code.

• This separation also supports better maintainability and scalability for scenarios where multiple conversational experiences or business logic variations are needed.

To instead use the Voice live API without agents, see the Voice live API quickstart.

Prerequisites

• An Azure subscription. Create one for free.
• An Azure AI Foundry resource created in one of the supported regions. For more information about region availability, see the voice live overview documentation.
• An Azure AI Foundry agent created in the Azure AI Foundry portal. For more information about creating an agent, see the Create an agent quickstart.

Try out voice live in the Speech playground

To try out the voice live demo, follow these steps:

1. Go to your project in Azure AI Foundry.

2. Select Playgrounds from the left pane.

3. In the Speech playground tile, select Try the Speech playground.

4. Select Speech capabilities by scenario > Voice live.

   

5. Select an agent that you configured in the Agents playground.

   

6. Edit other settings as needed, such as the Voice, Speaking rate, and Voice activity detection (VAD).

7. Select Start to start speaking and select End to end the chat session.

In this article, you learn how to use Azure AI Speech voice live with Azure AI Foundry Agent Service using the VoiceLive SDK for python.

Reference documentation | Package (PyPi) | Additional samples on GitHub

You can create and run an application to use voice live with agents for real-time voice agents.

• Using agents allows leveraging a built-in prompt and configuration managed within the agent itself, rather than specifying instructions in the session code.

• Agents encapsulate more complex logic and behaviors, making it easier to manage and update conversational flows without changing the client code.

• The agent approach streamlines integration. The agent ID is used to connect and all necessary settings are handled internally, reducing the need for manual configuration in the code.

• This separation also supports better maintainability and scalability for scenarios where multiple conversational experiences or business logic variations are needed.

To instead use the Voice live API without agents, see the Voice live API quickstart.

Prerequisites

• An Azure subscription. Create one for free.
• Python 3.10 or later version. If you don't have a suitable version of Python installed, you can follow the instructions in the VS Code Python Tutorial for the easiest way of installing Python on your operating system.
• An Azure AI Foundry resource created in one of the supported regions. For more information about region availability, see the voice live overview documentation.
• An Azure AI Foundry agent created in the Azure AI Foundry portal. For more information about creating an agent, see the Create an agent quickstart.

Microsoft Entra ID prerequisites

For the recommended keyless authentication with Microsoft Entra ID, you need to:

• Install the Azure CLI used for keyless authentication with Microsoft Entra ID.
• Assign the Cognitive Services User role to your user account. You can assign roles in the Azure portal under Access control (IAM) > Add role assignment.

Set up

1. Create a new folder voice-live-quickstart and go to the quickstart folder with the following command:

   mkdir voice-live-quickstart && cd voice-live-quickstart
   

2. Create a virtual environment. If you already have Python 3.10 or higher installed, you can create a virtual environment using the following commands:

   • Windows
   • Linux
   • macOS

   py -3 -m venv .venv
   .venv\scripts\activate
   

   Activating the Python environment means that when you run python or pip from the command line, you then use the Python interpreter contained in the .venv folder of your application. You can use the deactivate command to exit the python virtual environment, and can later reactivate it when needed.

   Tip

   We recommend that you create and activate a new Python environment to use to install the packages you need for this tutorial. Don't install packages into your global Python installation. You should always use a virtual or conda environment when installing Python packages, otherwise you can break your global installation of Python.

3. Create a file named requirements.txt. Add the following packages to the file:

   azure-ai-voicelive[aiohttp]
   pyaudio
   python-dotenv
   azure-identity
   

4. Install the packages:

   pip install -r requirements.txt
   

Retrieve resource information

AZURE_VOICELIVE_ENDPOINT=<your_endpoint>
AZURE_VOICELIVE_PROJECT_NAME=<your_project_name>
AZURE_VOICELIVE_AGENT_ID=<your_agent_id>
AZURE_VOICELIVE_API_VERSION=2025-10-01

AZURE_VOICELIVE_ENDPOINT=<your_endpoint>
AZURE_VOICELIVE_PROJECT_NAME=<your_project_name>
AZURE_VOICELIVE_AGENT_ID=<your_agent_id>
AZURE_VOICELIVE_API_VERSION=2025-10-01
AZURE_VOICELIVE_API_KEY=<your_api_key> # Only required if using API key authentication

Start a conversation

The sample code in this quickstart uses Microsoft Entra ID for authentication as the current integration only supports this authentication method.

1. Create the voice-live-agents-quickstart.py file with the following code:

   # -------------------------------------------------------------------------
   # Copyright (c) Microsoft Corporation. All rights reserved.
   # Licensed under the MIT License.
   # -------------------------------------------------------------------------
   from __future__ import annotations
   import os
   import sys
   import argparse
   import asyncio
   import base64
   from datetime import datetime
   import logging
   import queue
   import signal
   from typing import Union, Optional, TYPE_CHECKING, cast
   
   from azure.core.credentials import AzureKeyCredential
   from azure.core.credentials_async import AsyncTokenCredential
   from azure.identity.aio import AzureCliCredential, DefaultAzureCredential
   
   from azure.ai.voicelive.aio import connect
   from azure.ai.voicelive.models import (
       AudioEchoCancellation,
       AudioNoiseReduction,
       AzureStandardVoice,
       InputAudioFormat,
       Modality,
       OutputAudioFormat,
       RequestSession,
       ServerEventType,
       ServerVad
   )
   from dotenv import load_dotenv
   import pyaudio
   
   if TYPE_CHECKING:
       # Only needed for type checking; avoids runtime import issues
       from azure.ai.voicelive.aio import VoiceLiveConnection
   
   ## Change to the directory where this script is located
   os.chdir(os.path.dirname(os.path.abspath(__file__)))
   
   # Environment variable loading
   load_dotenv('./.env', override=True)
   
   # Set up logging
   ## Add folder for logging
   if not os.path.exists('logs'):
       os.makedirs('logs')
   
   ## Add timestamp for logfiles
   timestamp = datetime.now().strftime("%Y-%m-%d_%H-%M-%S")
   
   ## Create conversation log filename
   logfilename = f"{timestamp}_conversation.log"
   
   ## Set up logging
   logging.basicConfig(
       filename=f'logs/{timestamp}_voicelive.log',
       filemode="w",
       format='%(asctime)s:%(name)s:%(levelname)s:%(message)s',
       level=logging.INFO
   )
   logger = logging.getLogger(__name__)
   
   class AudioProcessor:
       """
       Handles real-time audio capture and playback for the voice assistant.
   
       Threading Architecture:
       - Main thread: Event loop and UI
       - Capture thread: PyAudio input stream reading
       - Send thread: Async audio data transmission to VoiceLive
       - Playback thread: PyAudio output stream writing
       """
   
       loop: asyncio.AbstractEventLoop
   
       class AudioPlaybackPacket:
           """Represents a packet that can be sent to the audio playback queue."""
           def __init__(self, seq_num: int, data: Optional[bytes]):
               self.seq_num = seq_num
               self.data = data
   
       def __init__(self, connection):
           self.connection = connection
           self.audio = pyaudio.PyAudio()
   
           # Audio configuration - PCM16, 24kHz, mono as specified
           self.format = pyaudio.paInt16
           self.channels = 1
           self.rate = 24000
           self.chunk_size = 1200 # 50ms
   
           # Capture and playback state
           self.input_stream = None
   
           self.playback_queue: queue.Queue[AudioProcessor.AudioPlaybackPacket] = queue.Queue()
           self.playback_base = 0
           self.next_seq_num = 0
           self.output_stream: Optional[pyaudio.Stream] = None
   
           logger.info("AudioProcessor initialized with 24kHz PCM16 mono audio")
   
       def start_capture(self):
           """Start capturing audio from microphone."""
           def _capture_callback(
               in_data,      # data
               _frame_count,  # number of frames
               _time_info,    # dictionary
               _status_flags):
               """Audio capture thread - runs in background."""
               audio_base64 = base64.b64encode(in_data).decode("utf-8")
               asyncio.run_coroutine_threadsafe(
                   self.connection.input_audio_buffer.append(audio=audio_base64), self.loop
               )
               return (None, pyaudio.paContinue)
   
           if self.input_stream:
               return
   
           # Store the current event loop for use in threads
           self.loop = asyncio.get_event_loop()
   
           try:
               self.input_stream = self.audio.open(
                   format=self.format,
                   channels=self.channels,
                   rate=self.rate,
                   input=True,
                   frames_per_buffer=self.chunk_size,
                   stream_callback=_capture_callback,
               )
               logger.info("Started audio capture")
   
           except Exception:
               logger.exception("Failed to start audio capture")
               raise
   
       def start_playback(self):
           """Initialize audio playback system."""
           if self.output_stream:
               return
   
           remaining = bytes()
           def _playback_callback(
               _in_data,
               frame_count,  # number of frames
               _time_info,
               _status_flags):
   
               nonlocal remaining
               frame_count *= pyaudio.get_sample_size(pyaudio.paInt16)
   
               out = remaining[:frame_count]
               remaining = remaining[frame_count:]
   
               while len(out) < frame_count:
                   try:
                       packet = self.playback_queue.get_nowait()
                   except queue.Empty:
                       out = out + bytes(frame_count - len(out))
                       continue
                   except Exception:
                       logger.exception("Error in audio playback")
                       raise
   
                   if not packet or not packet.data:
                       # None packet indicates end of stream
                       logger.info("End of playback queue.")
                       break
   
                   if packet.seq_num < self.playback_base:
                       # skip requested
                       # ignore skipped packet and clear remaining
                       if len(remaining) > 0:
                           remaining = bytes()
                       continue
   
                   num_to_take = frame_count - len(out)
                   out = out + packet.data[:num_to_take]
                   remaining = packet.data[num_to_take:]
   
               if len(out) >= frame_count:
                   return (out, pyaudio.paContinue)
               else:
                   return (out, pyaudio.paComplete)
   
           try:
               self.output_stream = self.audio.open(
                   format=self.format,
                   channels=self.channels,
                   rate=self.rate,
                   output=True,
                   frames_per_buffer=self.chunk_size,
                   stream_callback=_playback_callback
               )
               logger.info("Audio playback system ready")
           except Exception:
               logger.exception("Failed to initialize audio playback")
               raise
   
       def _get_and_increase_seq_num(self):
           seq = self.next_seq_num
           self.next_seq_num += 1
           return seq
   
       def queue_audio(self, audio_data: Optional[bytes]) -> None:
           """Queue audio data for playback."""
           self.playback_queue.put(
               AudioProcessor.AudioPlaybackPacket(
                   seq_num=self._get_and_increase_seq_num(),
                   data=audio_data))
   
       def skip_pending_audio(self):
           """Skip current audio in playback queue."""
           self.playback_base = self._get_and_increase_seq_num()
   
       def shutdown(self):
           """Clean up audio resources."""
           if self.input_stream:
               self.input_stream.stop_stream()
               self.input_stream.close()
               self.input_stream = None
   
           logger.info("Stopped audio capture")
   
           # Inform thread to complete
           if self.output_stream:
               self.skip_pending_audio()
               self.queue_audio(None)
               self.output_stream.stop_stream()
               self.output_stream.close()
               self.output_stream = None
   
           logger.info("Stopped audio playback")
   
           if self.audio:
               self.audio.terminate()
   
           logger.info("Audio processor cleaned up")
   
   class BasicVoiceAssistant:
       """
           Basic voice assistant implementing the VoiceLive SDK patterns with Foundry Agent.
           This sample also demonstrates how to collect a conversation log of user and agent interactions.
       """
   
   
       def __init__(
           self,
           endpoint: str,
           credential: Union[AzureKeyCredential, AsyncTokenCredential],
           agent_id: str,
           foundry_project_name: str,
           voice: str,
       ):
   
           self.endpoint = endpoint
           self.credential = credential
           self.agent_id = agent_id
           self.foundry_project_name = foundry_project_name
           self.voice = voice
           self.connection: Optional["VoiceLiveConnection"] = None
           self.audio_processor: Optional[AudioProcessor] = None
           self.session_ready = False
           self.conversation_started = False
           self._active_response = False
           self._response_api_done = False
   
       async def start(self):
           """Start the voice assistant session."""
           try:
               logger.info("Connecting to VoiceLive API with Foundry agent connection %s for project %s", self.agent_id, self.foundry_project_name)
   
               # Get agent access token
               agent_access_token = (await DefaultAzureCredential().get_token("https://ai.azure.com/.default")).token
               logger.info("Obtained agent access token")
   
               # Connect to VoiceLive WebSocket API
               async with connect(
                   endpoint=self.endpoint,
                   credential=self.credential,
                   query={
                       "agent-id": self.agent_id,
                       "agent-project-name": self.foundry_project_name,
                       "agent-access-token": agent_access_token
                   },
               ) as connection:
                   conn = connection
                   self.connection = conn
   
                   # Initialize audio processor
                   ap = AudioProcessor(conn)
                   self.audio_processor = ap
   
                   # Configure session for voice conversation
                   await self._setup_session()
   
                   # Start audio systems
                   ap.start_playback()
   
                   logger.info("Voice assistant ready! Start speaking...")
                   print("\n" + "=" * 60)
                   print("🎤 VOICE ASSISTANT READY")
                   print("Start speaking to begin conversation")
                   print("Press Ctrl+C to exit")
                   print("=" * 60 + "\n")
   
                   # Process events
                   await self._process_events()
           finally:
               if self.audio_processor:
                   self.audio_processor.shutdown()
   
       async def _setup_session(self):
           """Configure the VoiceLive session for audio conversation."""
           logger.info("Setting up voice conversation session...")
   
           # Create voice configuration
           voice_config: Union[AzureStandardVoice, str]
           if self.voice.startswith("en-US-") or self.voice.startswith("en-CA-") or "-" in self.voice:
               # Azure voice
               voice_config = AzureStandardVoice(name=self.voice)
           else:
               # OpenAI voice (alloy, echo, fable, onyx, nova, shimmer)
               voice_config = self.voice
   
           # Create turn detection configuration
           turn_detection_config = ServerVad(
               threshold=0.5,
               prefix_padding_ms=300,
               silence_duration_ms=500)
   
           # Create session configuration
           session_config = RequestSession(
               modalities=[Modality.TEXT, Modality.AUDIO],
               voice=voice_config,
               input_audio_format=InputAudioFormat.PCM16,
               output_audio_format=OutputAudioFormat.PCM16,
               turn_detection=turn_detection_config,
               input_audio_echo_cancellation=AudioEchoCancellation(),
               input_audio_noise_reduction=AudioNoiseReduction(type="azure_deep_noise_suppression"),
           )
   
           conn = self.connection
           assert conn is not None, "Connection must be established before setting up session"
           await conn.session.update(session=session_config)
   
           logger.info("Session configuration sent")
   
       async def _process_events(self):
           """Process events from the VoiceLive connection."""
           try:
               conn = self.connection
               assert conn is not None, "Connection must be established before processing events"
               async for event in conn:
                   await self._handle_event(event)
           except Exception:
               logger.exception("Error processing events")
               raise
   
       async def _handle_event(self, event):
           """Handle different types of events from VoiceLive."""
           logger.debug("Received event: %s", event.type)
           ap = self.audio_processor
           conn = self.connection
           assert ap is not None, "AudioProcessor must be initialized"
           assert conn is not None, "Connection must be established"
   
           if event.type == ServerEventType.SESSION_UPDATED:
               logger.info("Session ready: %s", event.session.id)
               await write_conversation_log(f"SessionID: {event.session.id}")
               await write_conversation_log(f"Model: {event.session.model}")
               await write_conversation_log(f"Voice: {event.session.voice}")
               await write_conversation_log(f"Instructions: {event.session.instructions}")
               await write_conversation_log(f"")
               self.session_ready = True
   
               # Invoke Proactive greeting
               if not self.conversation_started:
                   self.conversation_started = True
                   logger.info("Sending proactive greeting request")
                   try:
                       await conn.response.create()
   
                   except Exception:
                       logger.exception("Failed to send proactive greeting request")
   
               # Start audio capture once session is ready
               ap.start_capture()
   
           elif event.type == ServerEventType.CONVERSATION_ITEM_INPUT_AUDIO_TRANSCRIPTION_COMPLETED:
               print(f'👤 You said:\t{event.get("transcript", "")}')
               await write_conversation_log(f'User Input:\t{event.get("transcript", "")}')
   
           elif event.type == ServerEventType.RESPONSE_TEXT_DONE:
               print(f'🤖 Agent responded with text:\t{event.get("text", "")}')
               await write_conversation_log(f'Agent Text Response:\t{event.get("text", "")}')
   
           elif event.type == ServerEventType.RESPONSE_AUDIO_TRANSCRIPT_DONE:
               print(f'🤖 Agent responded with audio transcript:\t{event.get("transcript", "")}')
               await write_conversation_log(f'Agent Audio Response:\t{event.get("transcript", "")}')
   
           elif event.type == ServerEventType.INPUT_AUDIO_BUFFER_SPEECH_STARTED:
               logger.info("User started speaking - stopping playback")
               print("🎤 Listening...")
   
               ap.skip_pending_audio()
   
               # Only cancel if response is active and not already done
               if self._active_response and not self._response_api_done:
                   try:
                       await conn.response.cancel()
                       logger.debug("Cancelled in-progress response due to barge-in")
                   except Exception as e:
                       if "no active response" in str(e).lower():
                           logger.debug("Cancel ignored - response already completed")
                       else:
                           logger.warning("Cancel failed: %s", e)
   
           elif event.type == ServerEventType.INPUT_AUDIO_BUFFER_SPEECH_STOPPED:
               logger.info("🎤 User stopped speaking")
               print("🤔 Processing...")
   
           elif event.type == ServerEventType.RESPONSE_CREATED:
               logger.info("🤖 Assistant response created")
               self._active_response = True
               self._response_api_done = False
   
           elif event.type == ServerEventType.RESPONSE_AUDIO_DELTA:
               logger.debug("Received audio delta")
               ap.queue_audio(event.delta)
   
           elif event.type == ServerEventType.RESPONSE_AUDIO_DONE:
               logger.info("🤖 Assistant finished speaking")
               print("🎤 Ready for next input...")
   
           elif event.type == ServerEventType.RESPONSE_DONE:
               logger.info("✅ Response complete")
               self._active_response = False
               self._response_api_done = True
   
           elif event.type == ServerEventType.ERROR:
               msg = event.error.message
               if "Cancellation failed: no active response" in msg:
                   logger.debug("Benign cancellation error: %s", msg)
               else:
                   logger.error("❌ VoiceLive error: %s", msg)
                   print(f"Error: {msg}")
   
           elif event.type == ServerEventType.CONVERSATION_ITEM_CREATED:
               logger.debug("Conversation item created: %s", event.item.id)
   
           else:
               logger.debug("Unhandled event type: %s", event.type)
   
   async def write_conversation_log(message: str) -> None:
       """Write a message to the conversation log."""
       def _write_to_file():
           with open(f'logs/{logfilename}', 'a', encoding='utf-8') as conversation_log:
               conversation_log.write(message + "\n")
   
       await asyncio.to_thread(_write_to_file)
   
   def parse_arguments():
       """Parse command line arguments."""
       parser = argparse.ArgumentParser(
           description="Basic Voice Assistant using Azure VoiceLive SDK",
           formatter_class=argparse.ArgumentDefaultsHelpFormatter,
       )
   
       parser.add_argument(
           "--api-key",
           help="Azure VoiceLive API key. If not provided, will use AZURE_VOICELIVE_API_KEY environment variable.",
           type=str,
           default=os.environ.get("AZURE_VOICELIVE_API_KEY"),
       )
   
       parser.add_argument(
           "--endpoint",
           help="Azure VoiceLive endpoint",
           type=str,
           default=os.environ.get("AZURE_VOICELIVE_ENDPOINT", "https://your-resource-name.services.ai.azure.com/"),
       )
   
       parser.add_argument(
           "--agent_id",
           help="Foundry agent ID to use",
           type=str,
           default=os.environ.get("AZURE_VOICELIVE_AGENT_ID", ""),
       )
   
       parser.add_argument(
           "--foundry_project_name",
           help="Foundry project name to use",
           type=str,
           default=os.environ.get("AZURE_VOICELIVE_PROJECT_NAME", ""),
       )
   
       parser.add_argument(
           "--voice",
           help="Voice to use for the assistant. E.g. alloy, echo, fable, en-US-AvaNeural, en-US-GuyNeural",
           type=str,
           default=os.environ.get("AZURE_VOICELIVE_VOICE", "en-US-Ava:DragonHDLatestNeural"),
       )
   
       parser.add_argument(
           "--use-token-credential", help="Use Azure token credential instead of API key", action="store_true", default=True
       )
   
       parser.add_argument("--verbose", help="Enable verbose logging", action="store_true")
   
       return parser.parse_args()
   
   
   def main():
       """Main function."""
       args = parse_arguments()
   
       # Set logging level
       if args.verbose:
           logging.getLogger().setLevel(logging.DEBUG)
   
       # Validate credentials
       if not args.api_key and not args.use_token_credential:
           print("❌ Error: No authentication provided")
           print("Please provide an API key using --api-key or set AZURE_VOICELIVE_API_KEY environment variable,")
           print("or use --use-token-credential for Azure authentication.")
           sys.exit(1)
   
       # Create client with appropriate credential
       credential: Union[AzureKeyCredential, AsyncTokenCredential]
       if args.use_token_credential:
           credential = AzureCliCredential()  # or DefaultAzureCredential() if needed
           logger.info("Using Azure token credential")
       else:
           credential = AzureKeyCredential(args.api_key)
           logger.info("Using API key credential")
   
       # Create and start voice assistant
       assistant = BasicVoiceAssistant(
           endpoint=args.endpoint,
           credential=credential,
           agent_id=args.agent_id,
           foundry_project_name=args.foundry_project_name,
           voice=args.voice,
       )
   
       # Setup signal handlers for graceful shutdown
       def signal_handler(_sig, _frame):
           logger.info("Received shutdown signal")
           raise KeyboardInterrupt()
   
       signal.signal(signal.SIGINT, signal_handler)
       signal.signal(signal.SIGTERM, signal_handler)
   
       # Start the assistant
       try:
           asyncio.run(assistant.start())
       except KeyboardInterrupt:
           print("\n👋 Voice assistant shut down. Goodbye!")
       except Exception as e:
           print("Fatal Error: ", e)
   
   if __name__ == "__main__":
       # Check audio system
       try:
           p = pyaudio.PyAudio()
           # Check for input devices
           input_devices = [
               i
               for i in range(p.get_device_count())
               if cast(Union[int, float], p.get_device_info_by_index(i).get("maxInputChannels", 0) or 0) > 0
           ]
           # Check for output devices
           output_devices = [
               i
               for i in range(p.get_device_count())
               if cast(Union[int, float], p.get_device_info_by_index(i).get("maxOutputChannels", 0) or 0) > 0
           ]
           p.terminate()
   
           if not input_devices:
               print("❌ No audio input devices found. Please check your microphone.")
               sys.exit(1)
           if not output_devices:
               print("❌ No audio output devices found. Please check your speakers.")
               sys.exit(1)
   
       except Exception as e:
           print(f"❌ Audio system check failed: {e}")
           sys.exit(1)
   
       print("🎙️  Basic Voice Assistant with Azure VoiceLive SDK")
       print("=" * 50)
   
       # Run the assistant
       main()
   

2. Sign in to Azure with the following command:

   az login
   

3. Run the Python file.

   python voice-live-agents-quickstart.py
   

4. You can start speaking with the agent and hear responses. You can interrupt the model by speaking. Enter "Ctrl+C" to quit the conversation.

Output

The output of the script is printed to the console. You see messages indicating the status of the connection, audio stream, and playback. The audio is played back through your speakers or headphones.

🎙️  Basic Voice Assistant with Azure VoiceLive SDK
==================================================

============================================================
🎤 VOICE ASSISTANT READY
Start speaking to begin conversation
Press Ctrl+C to exit
============================================================

🎤 Listening...
🤔 Processing...
👤 You said:  User Input:       Hello.
🎤 Ready for next input...
🤖 Agent responded with audio transcript:  Agent Audio Response:        Hello! I'm Tobi the agent. How can I assist you today?
🎤 Listening...
🤔 Processing...
👤 You said:  User Input:       What are the opening hours of the Eiffel Tower?
🎤 Ready for next input...
🤖 Agent responded with audio transcript:  Agent Audio Response:        The Eiffel Tower's opening hours can vary depending on the season and any special events or maintenance. Generally, the Eiffel Tower is open every day of the year, with the following typical hours:

- Mid-June to early September: 9:00 AM to 12:45 AM (last elevator ride up at 12:00 AM)
- Rest of the year: 9:30 AM to 11:45 PM (last elevator ride up at 11:00 PM)

These times can sometimes change, so it's always best to check the official Eiffel Tower website or contact them directly for the most up-to-date information before your visit.

Would you like me to help you find the official website or any other details about visiting the Eiffel Tower?

👋 Voice assistant shut down. Goodbye!

The script that you ran creates a log file named <timestamp>_voicelive.log in the logs folder.

logging.basicConfig(
    filename=f'logs/{timestamp}_voicelive.log',
    filemode="w",
    format='%(asctime)s:%(name)s:%(levelname)s:%(message)s',
    level=logging.INFO
)

The voicelive.log file contains information about the connection to the Voice Live API, including the request and response data. You can view the log file to see the details of the conversation.

2025-10-28 10:26:12,768:__main__:INFO:Using Azure token credential
2025-10-28 10:26:12,769:__main__:INFO:Connecting to VoiceLive API with Foundry agent connection asst_JVSR1R9XpUBxZP1c4YUWy2GA for project myservice-voicelive-eus2
2025-10-28 10:26:12,770:azure.identity.aio._credentials.environment:INFO:No environment configuration found.
2025-10-28 10:26:12,779:azure.identity.aio._credentials.managed_identity:INFO:ManagedIdentityCredential will use IMDS
2025-10-28 10:26:12,780:azure.core.pipeline.policies.http_logging_policy:INFO:Request URL: 'http://169.254.169.254/metadata/identity/oauth2/token?api-version=REDACTED&resource=REDACTED'
Request method: 'GET'
Request headers:
    'User-Agent': 'azsdk-python-identity/1.25.1 Python/3.11.9 (Windows-10-10.0.26200-SP0)'
No body was attached to the request
2025-10-28 10:26:14,527:azure.identity.aio._credentials.chained:INFO:DefaultAzureCredential acquired a token from AzureCliCredential
2025-10-28 10:26:14,527:__main__:INFO:Obtained agent access token
2025-10-28 10:26:16,036:azure.identity.aio._internal.decorators:INFO:AzureCliCredential.get_token succeeded
2025-10-28 10:26:16,575:__main__:INFO:AudioProcessor initialized with 24kHz PCM16 mono audio
2025-10-28 10:26:16,575:__main__:INFO:Setting up voice conversation session...
2025-10-28 10:26:16,576:__main__:INFO:Session configuration sent
2025-10-28 10:26:16,833:__main__:INFO:Audio playback system ready
2025-10-28 10:26:16,833:__main__:INFO:Voice assistant ready! Start speaking...
2025-10-28 10:26:17,691:__main__:INFO:Session ready: sess_Oics8h0KxxxxPne71S1k
2025-10-28 10:26:17,713:__main__:INFO:Started audio capture
2025-10-28 10:26:18,413:__main__:INFO:User started speaking - stopping playback
2025-10-28 10:26:19,007:__main__:INFO:\U0001f3a4 User stopped speaking
2025-10-28 10:26:24,009:__main__:INFO:User started speaking - stopping playback
2025-10-28 10:26:24,771:__main__:INFO:\U0001f3a4 User stopped speaking
2025-10-28 10:26:24,887:__main__:INFO:\U0001f916 Assistant response created
2025-10-28 10:26:30,273:__main__:INFO:\U0001f916 Assistant finished speaking
2025-10-28 10:26:30,275:__main__:INFO:\u2705 Response complete
2025-10-28 10:26:38,461:__main__:INFO:User started speaking - stopping playback
2025-10-28 10:26:39,909:__main__:INFO:\U0001f3a4 User stopped speaking
2025-10-28 10:26:40,090:__main__:INFO:\U0001f916 Assistant response created
2025-10-28 10:26:44,631:__main__:INFO:\U0001f916 Assistant finished speaking
2025-10-28 10:26:44,634:__main__:INFO:\u2705 Response complete
2025-10-28 10:26:47,190:__main__:INFO:User started speaking - stopping playback
2025-10-28 10:26:48,959:__main__:INFO:\U0001f3a4 User stopped speaking
2025-10-28 10:26:49,246:__main__:INFO:\U0001f916 Assistant response created
2025-10-28 10:27:01,306:__main__:INFO:\U0001f916 Assistant finished speaking
2025-10-28 10:27:01,315:__main__:INFO:\u2705 Response complete
2025-10-28 10:27:09,586:__main__:INFO:Received shutdown signal
2025-10-28 10:27:09,634:__main__:INFO:Stopped audio capture
2025-10-28 10:27:09,758:__main__:INFO:Stopped audio playback
2025-10-28 10:27:09,759:__main__:INFO:Audio processor cleaned up

Further a session log file is created in the logs folder with the name <timestamp>_conversation.log. This file contains detailed information about the session, including the request and response data.

SessionID: sess_Oics8h0KxxxxPne71S1k
Model: gpt-4.1-mini
Voice: {'name': 'en-US-Ava:DragonHDLatestNeural', 'type': 'azure-standard'}
Instructions: You are a helpful agent named 'Tobi the agent'.

User Input:	Hello.
Agent Audio Response:	Hello! I'm Tobi the agent. How can I assist you today?
User Input:	What are the opening hours of the Eiffel Tower?
Agent Audio Response:	The Eiffel Tower's opening hours can vary depending on the season and any special events or maintenance. Generally, the Eiffel Tower is open every day of the year, with the following typical hours:

- Mid-June to early September: 9:00 AM to 12:45 AM (last elevator ride up at 12:00 AM)
- Rest of the year: 9:30 AM to 11:45 PM (last elevator ride up at 11:00 PM)

These times can sometimes change, so it's always best to check the official Eiffel Tower website or contact them directly for the most up-to-date information before your visit.

Would you like me to help you find the official website or any other details about visiting the Eiffel Tower?

Here are the key differences between the technical log and the conversation log:

Example: If your agent wasn't responding, you'd check:

• voicelive.log → "WebSocket connection failed" or "Audio stream error"
• conversation.log → "Did the user actually say anything?"

Both logs are complementary - conversation logs for conversation analysis and testing, technical logs for system diagnostics!

Technical log

Purpose: Technical debugging and system monitoring

Contents:

• WebSocket connection events
• Audio stream status
• Error messages and stack traces
• System-level events (session.created, response.done, etc.)
• Network connectivity issues
• Audio processing diagnostics

Format: Structured logging with timestamps, log levels, and technical details

Use Cases:

• Debugging connection problems
• Monitoring system performance
• Troubleshooting audio issues
• Developer/operations analysis

Conversation log

Purpose: Conversation transcript and user experience tracking

Contents:

• Agent and project identification
• Session configuration details
• User transcripts: "Tell me a story", "Stop"
• Agent responses: Full story text and follow-up responses
• Conversation flow and interactions

Format: Plain text, human-readable conversation format

Use Cases:

• Analyzing conversation quality
• Reviewing what was actually said
• Understanding user interactions and agent responses
• Business/content analysis

Hub-based projects

The quickstart uses AI Foundry projects instead of hub-based projects. If you have a hub-based project, you can still use the quickstart with some modifications.

To use the quickstart with a hub-based project, you need to retrieve the connection string for your agent and use it instead of the foundry_project_name. You can find the connection string in the Azure portal under your AI Foundry project.

Overview

For hub-based projects, use the connection string instead of the project name to connect your agent.

Further you must obtain a separate authentication token from scope 'https://ml.azure.com/.default'.

Make the following changes to the quickstart code:

1. Replace the all instances of foundry_project_name with agent-connection-string following lines in the code to change the authentication:

2. Replace the authentication token scope in line 307:

   # Get agent access token
   agent_access_token = (await DefaultAzureCredential().get_token("https://ml.azure.com/.default")).token
   logger.info("Obtained agent access token")
   

3. Replace the query parameter in line 316:

   # Connect to VoiceLive WebSocket API
   async with connect(
       endpoint=self.endpoint,
       credential=self.credential,
       query={
           "agent-id": self.agent_id,
           "agent-connection-string": self.agent-connection-string,
           "agent-access-token": agent_access_token
       },
   ) as connection:
       conn = connection
       self.connection = conn
   

In this article, you learn how to use Azure AI Speech voice live with Azure AI Foundry Agent Service using the VoiceLive SDK for C#.

Reference documentation | Package (NuGet) | Additional samples on GitHub

You can create and run an application to use voice live with agents for real-time voice agents.

• Using agents allows leveraging a built-in prompt and configuration managed within the agent itself, rather than specifying instructions in the session code.

• Agents encapsulate more complex logic and behaviors, making it easier to manage and update conversational flows without changing the client code.

• The agent approach streamlines integration. The agent ID is used to connect and all necessary settings are handled internally, reducing the need for manual configuration in the code.

• This separation also supports better maintainability and scalability for scenarios where multiple conversational experiences or business logic variations are needed.

To instead use the Voice live API without agents, see the Voice live API quickstart.

Prerequisites

• An Azure subscription. Create one for free.
• An Azure AI Foundry resource created in one of the supported regions. For more information about region availability, see the voice live overview documentation.
• An Azure AI Foundry agent created in the Azure AI Foundry portal. For more information about creating an agent, see the Create an agent quickstart.
• .NET SDK version 6.0 or later installed.

Start a voice conversation

Follow these steps to create a console application and install the Speech SDK.

1. Open a command prompt window in the folder where you want the new project. Run this command to create a console application with the .NET CLI.

   dotnet new console
   

   This command creates the Program.cs file in your project directory.

2. Install the Voice Live SDK, Azure Identity, and NAudio, and other required packages in your new project with the .NET CLI.

   dotnet add package Azure.AI.VoiceLive
   dotnet add package Azure.Identity
   dotnet add package NAudio
   dotnet add package System.CommandLine --version 2.0.0-beta4.22272.1
   dotnet add package Microsoft.Extensions.Configuration.Json
   dotnet add package Microsoft.Extensions.Configuration.EnvironmentVariables
   dotnet add package Microsoft.Extensions.Logging.Console
   

3. Create a new file named appsettings.json in the folder where you want to run the code. In that file, add the following JSON content:

   {
     "VoiceLive": {
       "Endpoint": "https://your-resource-name.services.ai.azure.com/",
       "Voice": "en-US-Ava:DragonHDLatestNeural"
     },
     "Agent": {
       "Id": "your-agent-id",
       "ProjectName": "your-agent-project-name"
     },  
     "Logging": {
       "LogLevel": {
         "Default": "Information",
         "Azure.AI.VoiceLive": "Debug"
       }
     }
   }
   

   The sample code in this quickstart uses Microsoft Entra ID for authentication as the current integration only supports this authentication method

   Learn more about keyless authentication and setting environment variables.

4. In the file csharp.csproj add the following information to connect the appsettings.json:

   <ItemGroup>
   <None Update="appsettings.json">
       <CopyToOutputDirectory>PreserveNewest</CopyToOutputDirectory>
   </None>
   </ItemGroup>
   

5. Replace the contents of Program.cs with the following code. This code creates a basic voice agent using one of the built-in models. For a more detailed version, see sample on GitHub.

   Note

   If you want to use the Foundry Agent V2 (Preview) API with Voice live, replace the agent-id and the related agentId/agentIdOption variable with agent-name and agentName/agentNameOption.

   // Copyright (c) Microsoft Corporation. All rights reserved.
   // Licensed under the MIT License.
   
   using System;
   using System.CommandLine;
   using System.CommandLine.Invocation;
   using System.Threading;
   using System.Web;
   using System.Threading.Tasks;
   using System.Threading.Channels;
   using System.Collections.Generic;
   using Azure.AI.VoiceLive;
   using Azure.Core;
   using Azure.Core.Pipeline;
   using Azure.Identity;
   using Microsoft.Extensions.Configuration;
   using Microsoft.Extensions.Logging;
   using NAudio.Wave;
   
   namespace Azure.AI.VoiceLive.Samples
   {
       /// <summary>
       /// FILE: Program.cs (Agent Quickstart - Consolidated)
       /// </summary>
       /// <remarks>
       /// DESCRIPTION:
       ///     This consolidated sample demonstrates connecting to an Azure AI Foundry agent via the VoiceLive SDK,
       ///     creating a voice assistant that can engage in natural conversation with proper interruption
       ///     handling. Instead of using a direct model, this connects to a deployed agent in Azure AI Foundry.
       ///     
       ///     All necessary code has been consolidated into this single file for easy distribution and execution.
       ///
       /// USAGE:
       ///     dotnet run --agent-id <agent-id> --agent-project-name <project-name>
       ///
       ///     Set the environment variables with your own values before running the sample:
       ///     1) AZURE_AGENT_ID - The Azure AI Foundry agent ID
       ///     2) AZURE_AGENT_PROJECT_NAME - The Azure AI Foundry agent project name  
       ///     3) AZURE_VOICELIVE_API_KEY - The Azure VoiceLive API key (still needed for VoiceLive service)
       ///     4) AZURE_VOICELIVE_ENDPOINT - The Azure VoiceLive endpoint
       ///
       ///     Note: Agent access token is generated automatically using DefaultAzureCredential.
       ///     Ensure you are authenticated with Azure CLI or have appropriate credentials configured.
       ///
       ///     Or update appsettings.json with your values.
       ///
       /// REQUIREMENTS:
       ///     - Azure.AI.VoiceLive
       ///     - Azure.Identity
       ///     - NAudio (for audio capture and playback)
       ///     - Microsoft.Extensions.Configuration
       ///     - System.CommandLine
       ///     - System.Threading.Channels
       /// </remarks>
       public class Program
       {
           /// <summary>
           /// Main entry point for the Voice Assistant sample.
           /// </summary>
           /// <param name="args"></param>
           /// <returns></returns>
           public static async Task<int> Main(string[] args)
           {
               // Create command line interface
               var rootCommand = CreateRootCommand();
               return await rootCommand.InvokeAsync(args).ConfigureAwait(false);
           }
   
           private static RootCommand CreateRootCommand()
           {
               var rootCommand = new RootCommand("Voice Assistant connecting to Azure AI Foundry Agent via VoiceLive SDK");
   
               var apiKeyOption = new Option<string?>(
                   "--api-key",
                   "Azure VoiceLive API key. If not provided, will use AZURE_VOICELIVE_API_KEY environment variable.");
   
               var endpointOption = new Option<string>(
                   "--endpoint",
                   () => "wss://api.voicelive.com/v1",
                   "Azure VoiceLive endpoint");
   
               var agentIdOption = new Option<string>(
                   "--agent-id",
                   "Azure AI Foundry agent ID");
   
               var agentProjectNameOption = new Option<string>(
                   "--agent-project-name", 
                   "Azure AI Foundry agent project name");
   
               var voiceOption = new Option<string>(
                   "--voice",
                   () => "en-US-AvaNeural",
                   "Voice to use for the assistant");
   
               // Currently Foundry Agent Integration only supports token authentication
               var useTokenCredentialOption = new Option<bool>(
                   "--use-token-credential",
                   () => true,
                   "Use Azure token credential instead of API key");
   
               var verboseOption = new Option<bool>(
                   "--verbose",
                   "Enable verbose logging");
   
               rootCommand.AddOption(apiKeyOption);
               rootCommand.AddOption(endpointOption);
               rootCommand.AddOption(agentIdOption);
               rootCommand.AddOption(agentProjectNameOption);
               rootCommand.AddOption(voiceOption);
               rootCommand.AddOption(useTokenCredentialOption);
               rootCommand.AddOption(verboseOption);
   
               rootCommand.SetHandler(async (
                   string? apiKey,
                   string endpoint,
                   string? agentId,
                   string? agentProjectName,
                   string voice,
                   bool useTokenCredential,
                   bool verbose) =>
               {
                   await RunVoiceAssistantAsync(apiKey, endpoint, agentId, agentProjectName, voice, useTokenCredential, verbose).ConfigureAwait(false);
               },
               apiKeyOption,
               endpointOption,
               agentIdOption,
               agentProjectNameOption,
               voiceOption,
               useTokenCredentialOption,
               verboseOption);
   
               return rootCommand;
           }
   
           private static async Task RunVoiceAssistantAsync(
               string? apiKey,
               string endpoint,
               string? agentId,
               string? agentProjectName,
               string voice,
               bool useTokenCredential,
               bool verbose)
           {
               // Setup configuration
               var configuration = new ConfigurationBuilder()
                   .AddJsonFile("appsettings.json", optional: true)
                   .AddEnvironmentVariables()
                   .Build();
   
               // Override with command line values if provided
               apiKey ??= configuration["VoiceLive:ApiKey"] ?? Environment.GetEnvironmentVariable("AZURE_VOICELIVE_API_KEY");
               endpoint = configuration["VoiceLive:Endpoint"] ?? endpoint;
               agentId ??= configuration["Agent:Id"] ?? Environment.GetEnvironmentVariable("AZURE_AGENT_ID");
               agentProjectName ??= configuration["Agent:ProjectName"] ?? Environment.GetEnvironmentVariable("AZURE_AGENT_PROJECT_NAME");
               voice = configuration["VoiceLive:Voice"] ?? voice;
   
               // Setup logging
               using var loggerFactory = LoggerFactory.Create(builder =>
               {
                   builder.AddConsole();
                   if (verbose)
                   {
                       builder.SetMinimumLevel(LogLevel.Debug);
                   }
                   else
                   {
                       builder.SetMinimumLevel(LogLevel.Information);
                   }
               });
   
               var logger = loggerFactory.CreateLogger<Program>();
   
               // Validate agent credentials
               if (string.IsNullOrEmpty(agentId) || string.IsNullOrEmpty(agentProjectName))
               {
                   Console.WriteLine("❌ Error: Agent parameters missing");
                   Console.WriteLine("Please provide agent parameters:");
                   Console.WriteLine("  --agent-id (or AZURE_AGENT_ID environment variable)");
                   Console.WriteLine("  --agent-project-name (or AZURE_AGENT_PROJECT_NAME environment variable)");
                   Console.WriteLine("Note: Agent access token will be generated automatically using Azure credentials");
                   return;
               }
   
               // Validate VoiceLive credentials (still needed for the VoiceLive service)
               if (string.IsNullOrEmpty(apiKey) && !useTokenCredential)
               {
                   Console.WriteLine("❌ Error: No VoiceLive authentication provided");
                   Console.WriteLine("Please provide an API key using --api-key or set AZURE_VOICELIVE_API_KEY environment variable,");
                   Console.WriteLine("or use --use-token-credential for Azure authentication.");
                   return;
               }
   
               // Generate agent access token using Azure credentials
               string agentAccessToken;
               try
               {
                   logger.LogInformation("Generating agent access token using DefaultAzureCredential...");
                   var credential = new DefaultAzureCredential();
                   var tokenRequestContext = new TokenRequestContext(new[] { "https://ai.azure.com/.default" });
                   var accessToken = await credential.GetTokenAsync(tokenRequestContext, default).ConfigureAwait(false);
                   agentAccessToken = accessToken.Token;
                   logger.LogInformation("Obtained agent access token successfully");
               }
               catch (Exception ex)
               {
                   Console.WriteLine($"❌ Error generating agent access token: {ex.Message}");
                   Console.WriteLine("Please ensure you are authenticated with Azure CLI or have appropriate Azure credentials configured.");
                   return;
               }
   
               // Check audio system before starting
               if (!CheckAudioSystem(logger))
               {
                   return;
               }
   
               try
               {
                   // Append agent parameters to the endpoint URL
                   var uriBuilder = new UriBuilder(endpoint);
                   var query = HttpUtility.ParseQueryString(uriBuilder.Query);
                   query["agent-id"] = agentId!;
                   query["agent-project-name"] = agentProjectName!;
                   query["agent-access-token"] = agentAccessToken;
                   uriBuilder.Query = query.ToString();
                   endpoint = uriBuilder.ToString();
                   logger.LogInformation("Agent parameters added as query parameters: agent-id={AgentId}, agent-project-name={ProjectName}", agentId, agentProjectName);
   
                   VoiceLiveClient client;
                   var endpointUri = new Uri(endpoint);
                   if (useTokenCredential)
                   {
                       var tokenCredential = new DefaultAzureCredential();
                       client = new VoiceLiveClient(endpointUri, tokenCredential, new VoiceLiveClientOptions());
                       logger.LogInformation("Using Azure token credential with agent headers");
                   }
                   else
                   {
                       var keyCredential = new Azure.AzureKeyCredential(apiKey!);
                       client = new VoiceLiveClient(endpointUri, keyCredential, new VoiceLiveClientOptions());
                       logger.LogInformation("Using API key credential with agent headers");
                   }
   
                   // Create and start voice assistant
                   using var assistant = new BasicVoiceAssistant(
                       client,
                       agentId!,
                       agentProjectName!,
                       agentAccessToken,
                       voice,
                       loggerFactory);
   
                   // Setup cancellation token for graceful shutdown
                   using var cancellationTokenSource = new CancellationTokenSource();
                   Console.CancelKeyPress += (sender, e) =>
                   {
                       e.Cancel = true;
                       logger.LogInformation("Received shutdown signal");
                       cancellationTokenSource.Cancel();
                   };
   
                   // Start the assistant
                   await assistant.StartAsync(cancellationTokenSource.Token).ConfigureAwait(false);
               }
               catch (OperationCanceledException)
               {
                   Console.WriteLine("\n👋 Voice assistant shut down. Goodbye!");
               }
               catch (Exception ex)
               {
                   logger.LogError(ex, "Fatal error");
                   Console.WriteLine($"❌ Error: {ex.Message}");
               }
           }
   
           private static bool CheckAudioSystem(ILogger logger)
           {
               try
               {
                   // Try input (default device)
                   using (var waveIn = new WaveInEvent
                   {
                       WaveFormat = new WaveFormat(24000, 16, 1),
                       BufferMilliseconds = 50
                   })
                   {
                       // Start/Stop to force initialization and surface any device errors
                       waveIn.DataAvailable += (_, __) => { };
                       waveIn.StartRecording();
                       waveIn.StopRecording();
                   }
   
                   // Try output (default device)
                   var buffer = new BufferedWaveProvider(new WaveFormat(24000, 16, 1))
                   {
                       BufferDuration = TimeSpan.FromMilliseconds(200)
                   };
   
                   using (var waveOut = new WaveOutEvent { DesiredLatency = 100 })
                   {
                       waveOut.Init(buffer);
                       // Playing isn't strictly required to validate a device, but it's safe
                       waveOut.Play();
                       waveOut.Stop();
                   }
   
                   logger.LogInformation("Audio system check passed (default input/output initialized).");
                   return true;
               }
               catch (Exception ex)
               {
                   Console.WriteLine($"❌ Audio system check failed: {ex.Message}");
                   return false;
               }
           }
       }
   
       /// <summary>
       /// Basic voice assistant implementing the VoiceLive SDK patterns.
       ///</summary>
       /// <remarks>
       /// This sample now demonstrates some of the new convenience methods added to the VoiceLive SDK:
       /// - ClearStreamingAudioAsync() - Clears all input audio currently being streamed
       /// - CancelResponseAsync() - Cancels the current response generation (existing method)
       /// - ConfigureSessionAsync() - Configures session options (existing method)
       ///
       /// Additional convenience methods available but not shown in this sample:
       /// - StartAudioTurnAsync() / EndAudioTurnAsync() / CancelAudioTurnAsync() - Audio turn management
       /// - AppendAudioToTurnAsync() - Append audio data to an ongoing turn
       /// - ConnectAvatarAsync() - Connect avatar with SDP for media negotiation
       ///
       /// These methods provide a more developer-friendly API similar to the OpenAI SDK,
       /// eliminating the need to manually construct and populate ClientEvent classes.
       /// </remarks>
       public class BasicVoiceAssistant : IDisposable
       {
           private readonly VoiceLiveClient _client;
           private readonly string _agentId;
           private readonly string _agentProjectName;
           private readonly string _agentAccessToken;
           private readonly string _voice;
           private readonly ILogger<BasicVoiceAssistant> _logger;
           private readonly ILoggerFactory _loggerFactory;
   
           private VoiceLiveSession? _session;
           private AudioProcessor? _audioProcessor;
           private bool _disposed;
           // Tracks whether an assistant response is currently active (created and not yet completed)
           private bool _responseActive;
           // Tracks whether we've already sent the initial proactive greeting to start the conversation
           private bool _conversationStarted;
           // Tracks whether the assistant can still cancel the current response (between ResponseCreated and ResponseDone)
           private bool _canCancelResponse;
   
           /// <summary>
           /// Initializes a new instance of the BasicVoiceAssistant class.
           /// </summary>
           /// <param name="client">The VoiceLive client.</param>
           /// <param name="agentId">The Azure AI Foundry agent ID.</param>
           /// <param name="agentProjectName">The Azure AI Foundry agent project name.</param>
           /// <param name="agentAccessToken">The Azure AI Foundry agent access token.</param>
           /// <param name="voice">The voice to use.</param>
           /// <param name="loggerFactory">Logger factory for creating loggers.</param>
           public BasicVoiceAssistant(
               VoiceLiveClient client,
               string agentId,
               string agentProjectName,
               string agentAccessToken,
               string voice,
               ILoggerFactory loggerFactory)
           {
               _client = client ?? throw new ArgumentNullException(nameof(client));
               _agentId = agentId ?? throw new ArgumentNullException(nameof(agentId));
               _agentProjectName = agentProjectName ?? throw new ArgumentNullException(nameof(agentProjectName));
               _agentAccessToken = agentAccessToken ?? throw new ArgumentNullException(nameof(agentAccessToken));
               _voice = voice ?? throw new ArgumentNullException(nameof(voice));
               _loggerFactory = loggerFactory ?? throw new ArgumentNullException(nameof(loggerFactory));
               _logger = loggerFactory.CreateLogger<BasicVoiceAssistant>();
           }
   
           /// <summary>
           /// Start the voice assistant session.
           /// </summary>
           /// <param name="cancellationToken">Cancellation token for stopping the session.</param>
           public async Task StartAsync(CancellationToken cancellationToken = default)
           {
               try
               {
                   _logger.LogInformation("Connecting to VoiceLive API with agent {AgentId} from project {ProjectName}", _agentId, _agentProjectName);
   
                   // Create session options for agent connection (no model or instructions specified)
                   var sessionOptions = await CreateSessionOptionsAsync(cancellationToken).ConfigureAwait(false);
   
                   // Start VoiceLive session with agent parameters passed via headers in client
                   _session = await _client.StartSessionAsync(sessionOptions, cancellationToken).ConfigureAwait(false);
   
                   // Initialize audio processor
                   _audioProcessor = new AudioProcessor(_session, _loggerFactory.CreateLogger<AudioProcessor>());
   
                   // Start audio systems
                   await _audioProcessor.StartPlaybackAsync().ConfigureAwait(false);
                   await _audioProcessor.StartCaptureAsync().ConfigureAwait(false);
   
                   _logger.LogInformation("Voice assistant ready! Start speaking...");
                   Console.WriteLine();
                   Console.WriteLine("=" + new string('=', 59));
                   Console.WriteLine("🎤 VOICE ASSISTANT READY");
                   Console.WriteLine("Start speaking to begin conversation");
                   Console.WriteLine("Press Ctrl+C to exit");
                   Console.WriteLine("=" + new string('=', 59));
                   Console.WriteLine();
   
                   // Process events
                   await ProcessEventsAsync(cancellationToken).ConfigureAwait(false);
               }
               catch (OperationCanceledException)
               {
                   _logger.LogInformation("Received cancellation signal, shutting down...");
               }
               catch (Exception ex)
               {
                   _logger.LogError(ex, "Connection error");
                   throw;
               }
               finally
               {
                   // Cleanup
                   if (_audioProcessor != null)
                   {
                       await _audioProcessor.CleanupAsync().ConfigureAwait(false);
                   }
               }
           }
   
           /// <summary>
           /// Create session options for agent-based voice conversation.
           /// </summary>
           private Task<VoiceLiveSessionOptions> CreateSessionOptionsAsync(CancellationToken cancellationToken)
           {
               _logger.LogInformation("Creating voice conversation session options for agent...");
   
               // Azure voice
               var azureVoice = new AzureStandardVoice(_voice);
   
               // Create strongly typed turn detection configuration
               var turnDetectionConfig = new ServerVadTurnDetection
               {
                   Threshold = 0.5f,
                   PrefixPadding = TimeSpan.FromMilliseconds(300),
                   SilenceDuration = TimeSpan.FromMilliseconds(500)
               };
   
               // Create conversation session options for agent - no Model or Instructions specified
               // Agent parameters are passed via URI query parameters during WebSocket connection:
               // - agent-id: Agent identifier
               // - agent-project-name: Project containing the agent  
               // - agent-access-token: Generated access token for agent authentication
               var sessionOptions = new VoiceLiveSessionOptions
               {
                   InputAudioEchoCancellation = new AudioEchoCancellation(),
                   Voice = azureVoice,
                   InputAudioFormat = InputAudioFormat.Pcm16,
                   OutputAudioFormat = OutputAudioFormat.Pcm16,
                   TurnDetection = turnDetectionConfig
               };
   
               // Ensure modalities include audio
               sessionOptions.Modalities.Clear();
               sessionOptions.Modalities.Add(InteractionModality.Text);
               sessionOptions.Modalities.Add(InteractionModality.Audio);
   
               _logger.LogInformation("Session options created for agent connection");
               return Task.FromResult(sessionOptions);
           }
   
           /// <summary>
           /// Process events from the VoiceLive session.
           /// </summary>
           private async Task ProcessEventsAsync(CancellationToken cancellationToken)
           {
               try
               {
                   await foreach (SessionUpdate serverEvent in _session!.GetUpdatesAsync(cancellationToken).ConfigureAwait(false))
                   {
                       await HandleSessionUpdateAsync(serverEvent, cancellationToken).ConfigureAwait(false);
                   }
               }
               catch (OperationCanceledException)
               {
                   _logger.LogInformation("Event processing cancelled");
               }
               catch (Exception ex)
               {
                   _logger.LogError(ex, "Error processing events");
                   throw;
               }
           }
   
           /// <summary>
           /// Handle different types of server events from VoiceLive.
           /// </summary>
           private async Task HandleSessionUpdateAsync(SessionUpdate serverEvent, CancellationToken cancellationToken)
           {
               _logger.LogDebug("Received event: {EventType}", serverEvent.GetType().Name);
   
               switch (serverEvent)
               {
                   case SessionUpdateSessionCreated sessionCreated:
                       await HandleSessionCreatedAsync(sessionCreated, cancellationToken).ConfigureAwait(false);
                       break;
   
                   case SessionUpdateSessionUpdated sessionUpdated:
                       _logger.LogInformation("Session updated successfully");
   
                       // Start audio capture once session is ready
                       if (_audioProcessor != null)
                       {
                           // Proactive greeting
                           if (!_conversationStarted)
                           {
                               _conversationStarted = true;
                               _logger.LogInformation("Sending proactive greeting request");
                               try
                               {
                                   await _session!.StartResponseAsync().ConfigureAwait(false);
                               }
                               catch (Exception ex)
                               {
                                   _logger.LogError(ex, "Failed to send proactive greeting request");
                               }
                           }
                           await _audioProcessor!.StartCaptureAsync().ConfigureAwait(false);
                       }
                       break;
   
                   case SessionUpdateInputAudioBufferSpeechStarted speechStarted:
                       _logger.LogInformation("🎤 User started speaking - stopping playback");
                       Console.WriteLine("🎤 Listening...");
   
                       // Stop current assistant audio playback (interruption handling)
                       if (_audioProcessor != null)
                       {
                           await _audioProcessor.StopPlaybackAsync().ConfigureAwait(false);
                       }
   
                       // Only attempt cancellation / clearing if a response is actually active
                       if (_responseActive && _canCancelResponse)
                       {
                           // Cancel any ongoing response (only if server may still be generating)
                           try
                           {
                               await _session!.CancelResponseAsync(cancellationToken).ConfigureAwait(false);
                               _logger.LogInformation("🛑 Active response cancelled due to user barge-in");
                           }
                           catch (Exception ex)
                           {
                               // Treat known benign message as debug-level (server already finished response)
                               if (ex.Message.Contains("no active response", StringComparison.OrdinalIgnoreCase))
                               {
                                   _logger.LogDebug("Cancellation benign: response already completed");
                               }
                               else
                               {
                                   _logger.LogWarning(ex, "Response cancellation failed during barge-in");
                               }
                           }
   
                           // Clear any streaming audio still in transit only if response still marked active
                           try
                           {
                               await _session!.ClearStreamingAudioAsync(cancellationToken).ConfigureAwait(false);
                               _logger.LogInformation("✨ Cleared streaming audio after cancellation");
                           }
                           catch (Exception ex)
                           {
                               _logger.LogDebug(ex, "ClearStreamingAudio call failed (may not be supported in all scenarios)");
                           }
                       }
                       else
                       {
                           _logger.LogDebug("No active response to cancel during barge-in; skipping cancellation and clear operations");
                       }
                       break;
   
                   case SessionUpdateInputAudioBufferSpeechStopped speechStopped:
                       _logger.LogInformation("🎤 User stopped speaking");
                       Console.WriteLine("🤔 Processing...");
   
                       // Restart playback system for response
                       if (_audioProcessor != null)
                       {
                           await _audioProcessor.StartPlaybackAsync().ConfigureAwait(false);
                       }
                       break;
   
                   case SessionUpdateResponseCreated responseCreated:
                       _logger.LogInformation("🤖 Assistant response created");
                       _responseActive = true;
                       _canCancelResponse = true; // Response can be cancelled until completion
                       break;
   
                   case SessionUpdateResponseAudioDelta audioDelta:
                       // Stream audio response to speakers
                       _logger.LogDebug("Received audio delta");
   
                       if (audioDelta.Delta != null && _audioProcessor != null)
                       {
                           byte[] audioData = audioDelta.Delta.ToArray();
                           await _audioProcessor.QueueAudioAsync(audioData).ConfigureAwait(false);
                       }
                       break;
   
                   case SessionUpdateResponseAudioDone audioDone:
                       _logger.LogInformation("🤖 Assistant finished speaking");
                       Console.WriteLine("🎤 Ready for next input...");
                       // Do NOT mark _responseActive false yet; ResponseDone may still arrive
                       break;
   
                   case SessionUpdateResponseDone responseDone:
                       _logger.LogInformation("✅ Response complete");
                       _responseActive = false; // Response fully complete
                       _canCancelResponse = false; // No longer cancellable
                       break;
   
                   case SessionUpdateError errorEvent:
                       _logger.LogError("❌ VoiceLive error: {ErrorMessage}", errorEvent.Error?.Message);
                       Console.WriteLine($"Error: {errorEvent.Error?.Message}");
                       _responseActive = false;
                       _canCancelResponse = false;
                       break;
   
                   default:
                       _logger.LogDebug("Unhandled event type: {EventType}", serverEvent.GetType().Name);
                       break;
               }
           }
   
           /// <summary>
           /// Handle session created event.
           /// </summary>
           private async Task HandleSessionCreatedAsync(SessionUpdateSessionCreated sessionCreated, CancellationToken cancellationToken)
           {
               _logger.LogInformation("Session ready: {SessionId}", sessionCreated.Session?.Id);
   
               // Start audio capture once session is ready
               if (_audioProcessor != null)
               {
                   await _audioProcessor.StartCaptureAsync().ConfigureAwait(false);
               }
           }
   
           /// <summary>
           /// Dispose of resources.
           /// </summary>
           public void Dispose()
           {
               if (_disposed)
                   return;
   
               _audioProcessor?.Dispose();
               _session?.Dispose();
               _disposed = true;
           }
       }
   
       /// <summary>
       /// Handles real-time audio capture and playback for the voice assistant.
       ///
       /// This processor demonstrates some of the new VoiceLive SDK convenience methods:
       /// - Uses existing SendInputAudioAsync() method for audio streaming
       /// - Shows how convenience methods simplify audio operations
       ///
       /// Additional convenience methods available in the SDK:
       /// - StartAudioTurnAsync() / AppendAudioToTurnAsync() / EndAudioTurnAsync() - Audio turn management
       /// - ClearStreamingAudioAsync() - Clear all streaming audio
       /// - ConnectAvatarAsync() - Avatar connection with SDP
       ///
       /// Threading Architecture:
       /// - Main thread: Event loop and UI
       /// - Capture thread: NAudio input stream reading
       /// - Send thread: Async audio data transmission to VoiceLive
       /// - Playback thread: NAudio output stream writing
       /// </summary>
       public class AudioProcessor : IDisposable
       {
           private readonly VoiceLiveSession _session;
           private readonly ILogger<AudioProcessor> _logger;
   
           // Audio configuration - PCM16, 24kHz, mono as specified
           private const int SampleRate = 24000;
           private const int Channels = 1;
           private const int BitsPerSample = 16;
   
           // NAudio components
           private WaveInEvent? _waveIn;
           private WaveOutEvent? _waveOut;
           private BufferedWaveProvider? _playbackBuffer;
   
           // Audio capture and playback state
           private bool _isCapturing;
           private bool _isPlaying;
   
           // Audio streaming channels
           private readonly Channel<byte[]> _audioSendChannel;
           private readonly Channel<byte[]> _audioPlaybackChannel;
           private readonly ChannelWriter<byte[]> _audioSendWriter;
           private readonly ChannelReader<byte[]> _audioSendReader;
           private readonly ChannelWriter<byte[]> _audioPlaybackWriter;
           private readonly ChannelReader<byte[]> _audioPlaybackReader;
   
           // Background tasks
           private Task? _audioSendTask;
           private Task? _audioPlaybackTask;
           private readonly CancellationTokenSource _cancellationTokenSource;
           private CancellationTokenSource _playbackCancellationTokenSource;
   
           /// <summary>
           /// Initializes a new instance of the AudioProcessor class.
           /// </summary>
           /// <param name="session">The VoiceLive session for audio communication.</param>
           /// <param name="logger">Logger for diagnostic information.</param>
           public AudioProcessor(VoiceLiveSession session, ILogger<AudioProcessor> logger)
           {
               _session = session ?? throw new ArgumentNullException(nameof(session));
               _logger = logger ?? throw new ArgumentNullException(nameof(logger));
   
               // Create unbounded channels for audio data
               _audioSendChannel = Channel.CreateUnbounded<byte[]>();
               _audioSendWriter = _audioSendChannel.Writer;
               _audioSendReader = _audioSendChannel.Reader;
   
               _audioPlaybackChannel = Channel.CreateUnbounded<byte[]>();
               _audioPlaybackWriter = _audioPlaybackChannel.Writer;
               _audioPlaybackReader = _audioPlaybackChannel.Reader;
   
               _cancellationTokenSource = new CancellationTokenSource();
               _playbackCancellationTokenSource = new CancellationTokenSource();
   
               _logger.LogInformation("AudioProcessor initialized with {SampleRate}Hz PCM16 mono audio", SampleRate);
           }
   
           /// <summary>
           /// Start capturing audio from microphone.
           /// </summary>
           public Task StartCaptureAsync()
           {
               if (_isCapturing)
                   return Task.CompletedTask;
   
               _isCapturing = true;
   
               try
               {
                   _waveIn = new WaveInEvent
                   {
                       WaveFormat = new WaveFormat(SampleRate, BitsPerSample, Channels),
                       BufferMilliseconds = 50 // 50ms buffer for low latency
                   };
   
                   _waveIn.DataAvailable += OnAudioDataAvailable;
                   _waveIn.RecordingStopped += OnRecordingStopped;
   
                   _waveIn.DeviceNumber = 0;
   
                   _waveIn.StartRecording();
   
                   // Start audio send task
                   _audioSendTask = ProcessAudioSendAsync(_cancellationTokenSource.Token);
   
                   _logger.LogInformation("Started audio capture");
                   return Task.CompletedTask;
               }
               catch (Exception ex)
               {
                   _logger.LogError(ex, "Failed to start audio capture");
                   _isCapturing = false;
                   throw;
               }
           }
   
           /// <summary>
           /// Stop capturing audio.
           /// </summary>
           public async Task StopCaptureAsync()
           {
               if (!_isCapturing)
                   return;
   
               _isCapturing = false;
   
               if (_waveIn != null)
               {
                   _waveIn.StopRecording();
                   _waveIn.DataAvailable -= OnAudioDataAvailable;
                   _waveIn.RecordingStopped -= OnRecordingStopped;
                   _waveIn.Dispose();
                   _waveIn = null;
               }
   
               // Complete the send channel and wait for the send task
               _audioSendWriter.TryComplete();
               if (_audioSendTask != null)
               {
                   await _audioSendTask.ConfigureAwait(false);
                   _audioSendTask = null;
               }
   
               _logger.LogInformation("Stopped audio capture");
           }
   
           /// <summary>
           /// Initialize audio playback system.
           /// </summary>
           public Task StartPlaybackAsync()
           {
               if (_isPlaying)
                   return Task.CompletedTask;
   
               _isPlaying = true;
   
               try
               {
                   _waveOut = new WaveOutEvent
                   {
                       DesiredLatency = 100 // 100ms latency
                   };
   
                   _playbackBuffer = new BufferedWaveProvider(new WaveFormat(SampleRate, BitsPerSample, Channels))
                   {
                       BufferDuration = TimeSpan.FromSeconds(10), // 10 second buffer
                       DiscardOnBufferOverflow = true
                   };
   
                   _waveOut.Init(_playbackBuffer);
                   _waveOut.Play();
   
                   _playbackCancellationTokenSource = new CancellationTokenSource();
   
                   // Start audio playback task
                   _audioPlaybackTask = ProcessAudioPlaybackAsync();
   
                   _logger.LogInformation("Audio playback system ready");
                   return Task.CompletedTask;
               }
               catch (Exception ex)
               {
                   _logger.LogError(ex, "Failed to initialize audio playback");
                   _isPlaying = false;
                   throw;
               }
           }
   
           /// <summary>
           /// Stop audio playback and clear buffer.
           /// </summary>
           public async Task StopPlaybackAsync()
           {
               if (!_isPlaying)
                   return;
   
               _isPlaying = false;
   
               // Clear the playback channel
               while (_audioPlaybackReader.TryRead(out _))
               { }
   
               if (_playbackBuffer != null)
               {
                   _playbackBuffer.ClearBuffer();
               }
   
               if (_waveOut != null)
               {
                   _waveOut.Stop();
                   _waveOut.Dispose();
                   _waveOut = null;
               }
   
               _playbackBuffer = null;
   
               // Complete the playback channel and wait for the playback task
               _playbackCancellationTokenSource.Cancel();
   
               if (_audioPlaybackTask != null)
               {
                   await _audioPlaybackTask.ConfigureAwait(false);
                   _audioPlaybackTask = null;
               }
   
               _logger.LogInformation("Stopped audio playback");
           }
   
           /// <summary>
           /// Queue audio data for playback.
           /// </summary>
           /// <param name="audioData">The audio data to queue.</param>
           public async Task QueueAudioAsync(byte[] audioData)
           {
               if (_isPlaying && audioData.Length > 0)
               {
                   await _audioPlaybackWriter.WriteAsync(audioData).ConfigureAwait(false);
               }
           }
   
           /// <summary>
           /// Event handler for audio data available from microphone.
           /// </summary>
           private void OnAudioDataAvailable(object? sender, WaveInEventArgs e)
           {
               if (_isCapturing && e.BytesRecorded > 0)
               {
                   byte[] audioData = new byte[e.BytesRecorded];
                   Array.Copy(e.Buffer, 0, audioData, 0, e.BytesRecorded);
   
                   // Queue audio data for sending (non-blocking)
                   if (!_audioSendWriter.TryWrite(audioData))
                   {
                       _logger.LogWarning("Failed to queue audio data for sending - channel may be full");
                   }
               }
           }
   
           /// <summary>
           /// Event handler for recording stopped.
           /// </summary>
           private void OnRecordingStopped(object? sender, StoppedEventArgs e)
           {
               if (e.Exception != null)
               {
                   _logger.LogError(e.Exception, "Audio recording stopped due to error");
               }
           }
   
           /// <summary>
           /// Background task to process audio data and send to VoiceLive service.
           /// </summary>
           private async Task ProcessAudioSendAsync(CancellationToken cancellationToken)
           {
               try
               {
                   await foreach (byte[] audioData in _audioSendReader.ReadAllAsync(cancellationToken).ConfigureAwait(false))
                   {
                       if (cancellationToken.IsCancellationRequested)
                           break;
   
                       try
                       {
                           // Send audio data directly to the session using the convenience method
                           // This demonstrates the existing SendInputAudioAsync convenience method
                           // Other available methods: StartAudioTurnAsync, AppendAudioToTurnAsync, EndAudioTurnAsync
                           await _session.SendInputAudioAsync(audioData, cancellationToken).ConfigureAwait(false);
                       }
                       catch (Exception ex)
                       {
                           _logger.LogError(ex, "Error sending audio data to VoiceLive");
                           // Continue processing other audio data
                       }
                   }
               }
               catch (OperationCanceledException)
               {
                   // Expected when cancellation is requested
               }
               catch (Exception ex)
               {
                   _logger.LogError(ex, "Error in audio send processing");
               }
           }
   
           /// <summary>
           /// Background task to process audio playback.
           /// </summary>
           private async Task ProcessAudioPlaybackAsync()
           {
               try
               {
                   CancellationTokenSource combinedTokenSource = CancellationTokenSource.CreateLinkedTokenSource(_playbackCancellationTokenSource.Token, _cancellationTokenSource.Token);
                   var cancellationToken = combinedTokenSource.Token;
   
                   await foreach (byte[] audioData in _audioPlaybackReader.ReadAllAsync(cancellationToken).ConfigureAwait(false))
                   {
                       if (cancellationToken.IsCancellationRequested)
                           break;
   
                       try
                       {
                           if (_playbackBuffer != null && _isPlaying)
                           {
                               _playbackBuffer.AddSamples(audioData, 0, audioData.Length);
                           }
                       }
                       catch (Exception ex)
                       {
                           _logger.LogError(ex, "Error in audio playback");
                           // Continue processing other audio data
                       }
                   }
               }
               catch (OperationCanceledException)
               {
                   // Expected when cancellation is requested
               }
               catch (Exception ex)
               {
                   _logger.LogError(ex, "Error in audio playback processing");
               }
           }
   
           /// <summary>
           /// Clean up audio resources.
           /// </summary>
           public async Task CleanupAsync()
           {
               await StopCaptureAsync().ConfigureAwait(false);
               await StopPlaybackAsync().ConfigureAwait(false);
   
               _cancellationTokenSource.Cancel();
   
               // Wait for background tasks to complete
               var tasks = new List<Task>();
               if (_audioSendTask != null)
                   tasks.Add(_audioSendTask);
               if (_audioPlaybackTask != null)
                   tasks.Add(_audioPlaybackTask);
   
               if (tasks.Count > 0)
               {
                   await Task.WhenAll(tasks).ConfigureAwait(false);
               }
   
               _logger.LogInformation("Audio processor cleaned up");
           }
   
           /// <summary>
           /// Dispose of resources.
           /// </summary>
           public void Dispose()
           {
               CleanupAsync().Wait();
               _cancellationTokenSource.Dispose();
           }
       }
   }
   

6. Run your console application to start the live conversation:

   dotnet run
   

Output

The output of the script is printed to the console. You see messages indicating the status of the connection, audio stream, and playback. The audio is played back through your speakers or headphones.

info: Azure.AI.VoiceLive.Samples.Program[0]
      Generating agent access token using DefaultAzureCredential...
info: Azure.AI.VoiceLive.Samples.Program[0]
      Obtained agent access token successfully
info: Azure.AI.VoiceLive.Samples.Program[0]
      Audio system check passed (default input/output initialized).
info: Azure.AI.VoiceLive.Samples.Program[0]
      Agent parameters added as query parameters: agent-id=asst_my-agent, agent-project-name=my-ai-project
info: Azure.AI.VoiceLive.Samples.Program[0]
      Using Azure token credential with agent headers
info: Azure.AI.VoiceLive.Samples.BasicVoiceAssistant[0]
      Connecting to VoiceLive API with agent asst_my-agent from project my-ai-project
info: Azure.AI.VoiceLive.Samples.BasicVoiceAssistant[0]
      Creating voice conversation session options for agent...
info: Azure.AI.VoiceLive.Samples.BasicVoiceAssistant[0]
      Session options created for agent connection
info: Azure.AI.VoiceLive.Samples.AudioProcessor[0]
      AudioProcessor initialized with 24000Hz PCM16 mono audio
info: Azure.AI.VoiceLive.Samples.AudioProcessor[0]
      Audio playback system ready
info: Azure.AI.VoiceLive.Samples.AudioProcessor[0]
      Started audio capture
info: Azure.AI.VoiceLive.Samples.BasicVoiceAssistant[0]
      Voice assistant ready! Start speaking...

============================================================
🎤 VOICE ASSISTANT READY
Start speaking to begin conversation
Press Ctrl+C to exit
============================================================

info: Azure.AI.VoiceLive.Samples.BasicVoiceAssistant[0]
      Session ready: sess_QNwzS5xxxxQjftd
info: Azure.AI.VoiceLive.Samples.BasicVoiceAssistant[0]
      Session updated successfully
🎤 Listening...
info: Azure.AI.VoiceLive.Samples.BasicVoiceAssistant[0]
      🎤 User started speaking - stopping playback
info: Azure.AI.VoiceLive.Samples.AudioProcessor[0]
      Stopped audio playback
info: Azure.AI.VoiceLive.Samples.BasicVoiceAssistant[0]
      ✨ Used ClearStreamingAudioAsync convenience method
🎤 Ready for next input...
info: Azure.AI.VoiceLive.Samples.BasicVoiceAssistant[0]
      🤖 Assistant finished speaking
info: Azure.AI.VoiceLive.Samples.BasicVoiceAssistant[0]
      ✅ Response complete
🤔 Processing...
info: Azure.AI.VoiceLive.Samples.BasicVoiceAssistant[0]
      🎤 User stopped speaking
info: Azure.AI.VoiceLive.Samples.AudioProcessor[0]
      Audio playback system ready
info: Azure.AI.VoiceLive.Samples.BasicVoiceAssistant[0]
      🤖 Assistant response created
🎤 Ready for next input...
info: Azure.AI.VoiceLive.Samples.BasicVoiceAssistant[0]
      🤖 Assistant finished speaking
info: Azure.AI.VoiceLive.Samples.BasicVoiceAssistant[0]
      ✅ Response complete
info: Azure.AI.VoiceLive.Samples.Program[0]
      Received shutdown signal
info: Azure.AI.VoiceLive.Samples.BasicVoiceAssistant[0]
      Event processing cancelled
info: Azure.AI.VoiceLive.Samples.AudioProcessor[0]
      Stopped audio capture
info: Azure.AI.VoiceLive.Samples.AudioProcessor[0]
      Stopped audio playback
info: Azure.AI.VoiceLive.Samples.AudioProcessor[0]
      Audio processor cleaned up
info: Azure.AI.VoiceLive.Samples.AudioProcessor[0]
      Audio processor cleaned up