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Quickstart: Een Voice Live realtime spraakagent maken

In dit artikel leert u hoe u Voice Live gebruikt met generatieve AI en Azure Speech in Foundry Tools in de Microsoft Foundry-portal.

U maakt en voert een toepassing uit om Voice Live rechtstreeks te gebruiken met generatieve AI-modellen voor realtime spraakagenten.

  • Door modellen rechtstreeks te gebruiken, kunt u aangepaste instructies (prompts) voor elke sessie opgeven, wat meer flexibiliteit biedt voor dynamische of experimentele use cases.

  • Modellen kunnen de voorkeur hebben wanneer u gedetailleerde controle wilt over sessieparameters of vaak de prompt of configuratie moet aanpassen zonder een agent in de portal bij te werken.

  • De code voor modelgebaseerde sessies is in sommige opzichten eenvoudiger, omdat hiervoor geen agent-id's of agentspecifieke instellingen nodig zijn.

  • Direct modelgebruik is geschikt voor scenario's waarbij abstractie op agentniveau of ingebouwde logica niet nodig is.

Als u in plaats daarvan de Voice Live-API wilt gebruiken met agents, raadpleegt u de quickstart voor Voice Live API-agents.

Vereiste voorwaarden

Aanbeveling

Als u Voice Live wilt gebruiken, hoeft u geen audiomodel te implementeren met uw Microsoft Foundry-resource. Voice Live wordt volledig beheerd en het model wordt automatisch voor u geïmplementeerd. Zie de overzichtsdocumentatie van Voice Live voor meer informatie over de beschikbaarheid van modellen.

Voice Live uitproberen in de Spraak-speeltuin

Volg deze stappen om de Voice Live-demo uit te proberen:

  1. Meld u aan bij Microsoft Foundry. Zorg ervoor dat de wisselknop New Foundry is ingeschakeld. Deze stappen verwijzen naar Foundry (nieuw).
  2. Selecteer Build in het menu rechtsboven.
  3. Selecteer Modellen in het linkerdeelvenster.
  4. Op het tabblad AI Services ziet u de Azure AI-modellen die standaard kunnen worden gebruikt in de Foundry-portal. Selecteer Azure Speech - Voice Live om de Voice Live-speeltuin te openen.
  5. Selecteer een scenario en een stem met behulp van de vervolgkeuzelijsten. Configureer eventueel andere parameters van het gedrag van de spraakagent. Met de wisselknop Proactieve betrokkenheid kan de agent bijvoorbeeld als eerste het gesprek beginnen.
  6. Wanneer u klaar bent, selecteert u Start om te chatten met de spraakagent met behulp van de microfoon en luidsprekers van uw apparaat.
  7. Selecteer Einde om de chatsessie te beëindigen.

Nieuwe functies van Foundry

De volgende spraakfuncties zijn beschikbaar in de Foundry (nieuwe) portal:

In dit artikel leert u hoe u Voice Live gebruikt met Microsoft Foundry-modellen met behulp van de VoiceLive SDK voor Python.

Referentiedocumentatiepakket (PyPi) |

U maakt en voert een toepassing uit om Voice Live rechtstreeks te gebruiken met generatieve AI-modellen voor realtime spraakagenten.

  • Door modellen rechtstreeks te gebruiken, kunt u aangepaste instructies (prompts) voor elke sessie opgeven, wat meer flexibiliteit biedt voor dynamische of experimentele use cases.

  • Modellen kunnen de voorkeur hebben wanneer u gedetailleerde controle wilt over sessieparameters of vaak de prompt of configuratie moet aanpassen zonder een agent in de portal bij te werken.

  • De code voor modelgebaseerde sessies is in sommige opzichten eenvoudiger, omdat hiervoor geen agent-id's of agentspecifieke instellingen nodig zijn.

  • Direct modelgebruik is geschikt voor scenario's waarbij abstractie op agentniveau of ingebouwde logica niet nodig is.

Als u in plaats daarvan de Voice Live-API wilt gebruiken met agents, raadpleegt u de quickstart voor Voice Live API-agents.

Vereiste voorwaarden

Aanbeveling

Als u Voice Live wilt gebruiken, hoeft u geen audiomodel te implementeren met uw Microsoft Foundry-resource. Voice Live wordt volledig beheerd en het model wordt automatisch voor u geïmplementeerd. Zie de overzichtsdocumentatie van Voice Live voor meer informatie over de beschikbaarheid van modellen.

Vereisten voor Microsoft Entra-id

Voor de aanbevolen sleutelloze verificatie met Microsoft Entra-id moet u het volgende doen:

  • Installeer de Azure CLI die wordt gebruikt voor sleutelloze verificatie met Microsoft Entra-id.
  • Wijs de Cognitive Services User rol toe aan uw gebruikersaccount. U kunt rollen toewijzen in Azure Portal onder Toegangsbeheer (IAM)>Roltoewijzing toevoegen.

Inrichten

  1. Maak een nieuwe map voice-live-quickstart en ga naar de snelstartmap met de volgende opdracht:

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

  2. Maak een virtuele omgeving. Als Python 3.10 of hoger al is geïnstalleerd, kunt u een virtuele omgeving maken met behulp van de volgende opdrachten:

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

    Als u de Python-omgeving activeert, betekent dit dat wanneer u python of pip vanaf de opdrachtregel uitvoert, u de Python-interpreter gebruikt die zich in de .venv map van uw toepassing bevindt. U kunt de deactivate opdracht gebruiken om de virtuele Python-omgeving af te sluiten en deze later opnieuw te activeren wanneer dat nodig is.

    Aanbeveling

    U wordt aangeraden een nieuwe Python-omgeving te maken en te activeren om de pakketten te installeren die u nodig hebt voor deze zelfstudie. Installeer geen pakketten in uw globale Python-installatie. U moet altijd een virtuele of conda-omgeving gebruiken bij het installeren van Python-pakketten, anders kunt u uw globale installatie van Python verbreken.

  3. Maak een bestand met de naamrequirements.txt. Voeg de volgende pakketten toe aan het bestand:

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

  4. Installeer de pakketten:

    pip install -r requirements.txt

Resourcegegevens ophalen

Maak een nieuw bestand met de naam .env in de map waarin u de code wilt uitvoeren.

Voeg in het .env bestand de volgende omgevingsvariabelen toe voor verificatie:

AZURE_VOICELIVE_ENDPOINT=<your_endpoint>
AZURE_VOICELIVE_MODEL=<your_model>
AZURE_VOICELIVE_API_VERSION=2025-10-01
AZURE_VOICELIVE_API_KEY=<your_api_key> # Only required if using API key authentication

Vervang de standaardwaarden door uw werkelijke eindpunt, model, API-versie en API-sleutel.

Naam van de variabele Waarde
AZURE_VOICELIVE_ENDPOINT Deze waarde vindt u in de sectie Sleutels en eindpunt bij het controleren van uw resource vanuit Azure Portal.
AZURE_VOICELIVE_MODEL Het model dat u wilt gebruiken. Een voorbeeld hiervan is gpt-4o of gpt-realtime-mini. Zie de overzichtsdocumentatie van de Voice Live-API voor meer informatie over de beschikbaarheid van modellen.
AZURE_VOICELIVE_API_VERSION De API-versie die u wilt gebruiken. Bijvoorbeeld: 2025-10-01.

Meer informatie over sleutelloze verificatie en het instellen van omgevingsvariabelen.

Een gesprek beginnen

De voorbeeldcode in deze quickstart maakt gebruik van Microsoft Entra-id of een API-sleutel voor verificatie. U kunt het scriptargument instellen op uw API-sleutel of uw toegangstoken.

  1. Maak het voice-live-quickstart.py bestand met de volgende 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")

## 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."""

    def __init__(
        self,
        endpoint: str,
        credential: Union[AzureKeyCredential, AsyncTokenCredential],
        model: str,
        voice: str,
        instructions: str,
    ):

        self.endpoint = endpoint
        self.credential = credential
        self.model = model
        self.voice = voice
        self.instructions = instructions
        self.connection: Optional["VoiceLiveConnection"] = None
        self.audio_processor: Optional[AudioProcessor] = None
        self.session_ready = 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 model %s", self.model)

            # Connect to VoiceLive WebSocket API
            async with connect(
                endpoint=self.endpoint,
                credential=self.credential,
                model=self.model,
            ) 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],
            instructions=self.instructions,
            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)
            self.session_ready = True

            # Start audio capture once session is ready
            ap.start_capture()

        elif event.type == ServerEventType.INPUT_AUDIO_BUFFER_SPEECH_STARTED:
            logger.info("User started speaking - stopping playback")
            print("🎤 Listening...")

            ap.skip_pending_audio()

        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)


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(
        "--model",
        help="VoiceLive model to use",
        type=str,
        default=os.environ.get("AZURE_VOICELIVE_MODEL", "gpt-realtime"),
    )

    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(
        "--instructions",
        help="System instructions for the AI assistant",
        type=str,
        default=os.environ.get(
            "AZURE_VOICELIVE_INSTRUCTIONS",
            "You are a helpful AI assistant. Respond naturally and conversationally. "
            "Keep your responses concise but engaging.",
        ),
    )

    parser.add_argument(
        "--use-token-credential", help="Use Azure token credential instead of API key", action="store_true", default=False
    )

    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,
        model=args.model,
        voice=args.voice,
        instructions=args.instructions,
    )

    # 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. Meld u aan bij Azure met de volgende opdracht:

    az login

  3. Voer het Python-bestand uit.

    python voice-live-quickstart.py --use-token-credential

  4. De Voice Live-API begint audio te retourneren met het eerste antwoord van het model. U kunt het model onderbreken door te spreken. Voer Ctrl+C in om het gesprek af te sluiten.

Uitvoer

De uitvoer van het script wordt afgedrukt op de console. U ziet berichten die de status van het systeem aangeven. De audio wordt afgespeeld via uw luidsprekers of hoofdtelefoon.

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

🎤 Listening...
🤔 Processing...
🎤 Ready for next input...
🎤 Listening...
🤔 Processing...
🎤 Ready for next input...
🎤 Listening...
🤔 Processing...
🎤 Ready for next input...
🎤 Listening...
🤔 Processing...
🎤 Listening...
🎤 Ready for next input...
🤔 Processing...
🎤 Ready for next input...

Met het script dat u hebt uitgevoerd, wordt een logboekbestand gemaakt met de naam <timestamp>_voicelive.log in de logs map.

Het standaardlogboekniveau is ingesteld op INFO , maar u kunt dit wijzigen door de quickstart uit te voeren met de opdrachtregelparameter --verbose of door de configuratie voor logboekregistratie in de code als volgt te wijzigen:

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

Het logboekbestand bevat informatie over de verbinding met de Voice Live-API, inclusief de aanvraag- en antwoordgegevens. U kunt het logboekbestand bekijken om de details van het gesprek te bekijken.

2025-10-02 14:47:37,901:__main__:INFO:Using Azure token credential
2025-10-02 14:47:37,901:__main__:INFO:Connecting to VoiceLive API with model gpt-realtime
2025-10-02 14:47:37,901:azure.core.pipeline.policies.http_logging_policy:INFO:Request URL: 'https://login.microsoftonline.com/organizations/v2.0/.well-known/openid-configuration'
Request method: 'GET'
Request headers:
    'User-Agent': 'azsdk-python-identity/1.22.0 Python/3.11.9 (Windows-10-10.0.26200-SP0)'
No body was attached to the request
2025-10-02 14:47:38,057:azure.core.pipeline.policies.http_logging_policy:INFO:Response status: 200
Response headers:
    'Date': 'Thu, 02 Oct 2025 21:47:37 GMT'
    'Content-Type': 'application/json; charset=utf-8'
    'Content-Length': '1641'
    'Connection': 'keep-alive'
    'Cache-Control': 'max-age=86400, private'
    'Strict-Transport-Security': 'REDACTED'
    'X-Content-Type-Options': 'REDACTED'
    'Access-Control-Allow-Origin': 'REDACTED'
    'Access-Control-Allow-Methods': 'REDACTED'
    'P3P': 'REDACTED'
    'x-ms-request-id': 'f81adfa1-8aa3-4ab6-a7b8-908f411e0d00'
    'x-ms-ests-server': 'REDACTED'
    'x-ms-srs': 'REDACTED'
    'Content-Security-Policy-Report-Only': 'REDACTED'
    'Cross-Origin-Opener-Policy-Report-Only': 'REDACTED'
    'Reporting-Endpoints': 'REDACTED'
    'X-XSS-Protection': 'REDACTED'
    'Set-Cookie': 'REDACTED'
    'X-Cache': 'REDACTED'
2025-10-02 14:47:42,105:azure.core.pipeline.policies.http_logging_policy:INFO:Request URL: 'https://login.microsoftonline.com/organizations/oauth2/v2.0/token'
Request method: 'POST'
Request headers:
    'Accept': 'application/json'
    'x-client-sku': 'REDACTED'
    'x-client-ver': 'REDACTED'
    'x-client-os': 'REDACTED'
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    'client-request-id': 'REDACTED'
    'x-client-current-telemetry': 'REDACTED'
    'x-client-last-telemetry': 'REDACTED'
    'X-AnchorMailbox': 'REDACTED'
    'User-Agent': 'azsdk-python-identity/1.22.0 Python/3.11.9 (Windows-10-10.0.26200-SP0)'
A body is sent with the request
2025-10-02 14:47:42,466:azure.core.pipeline.policies.http_logging_policy:INFO:Response status: 200
Response headers:
    'Date': 'Thu, 02 Oct 2025 21:47:42 GMT'
    'Content-Type': 'application/json; charset=utf-8'
    'Content-Length': '6587'
    'Connection': 'keep-alive'
    'Cache-Control': 'no-store, no-cache'
    'Pragma': 'no-cache'
    'Expires': '-1'
    'Strict-Transport-Security': 'REDACTED'
    'X-Content-Type-Options': 'REDACTED'
    'P3P': 'REDACTED'
    'client-request-id': 'REDACTED'
    'x-ms-request-id': '2e82e728-22c0-4568-b3ed-f00ec79a2500'
    'x-ms-ests-server': 'REDACTED'
    'x-ms-clitelem': 'REDACTED'
    'x-ms-srs': 'REDACTED'
    'Content-Security-Policy-Report-Only': 'REDACTED'
    'Cross-Origin-Opener-Policy-Report-Only': 'REDACTED'
    'Reporting-Endpoints': 'REDACTED'
    'X-XSS-Protection': 'REDACTED'
    'Set-Cookie': 'REDACTED'
    'X-Cache': 'REDACTED'
2025-10-02 14:47:42,467:azure.identity._internal.interactive:INFO:InteractiveBrowserCredential.get_token succeeded
2025-10-02 14:47:42,884:__main__:INFO:AudioProcessor initialized with 24kHz PCM16 mono audio
2025-10-02 14:47:42,884:__main__:INFO:Setting up voice conversation session...
2025-10-02 14:47:42,887:__main__:INFO:Session configuration sent
2025-10-02 14:47:42,943:__main__:INFO:Audio playback system ready
2025-10-02 14:47:42,943:__main__:INFO:Voice assistant ready! Start speaking...
2025-10-02 14:47:42,975:__main__:INFO:Session ready: sess_CMLRGjWnakODcHn583fXf
2025-10-02 14:47:42,994:__main__:INFO:Started audio capture
2025-10-02 14:47:47,513:__main__:INFO:\U0001f3a4 User started speaking - stopping playback
2025-10-02 14:47:47,593:__main__:INFO:Stopped audio playback
2025-10-02 14:47:51,757:__main__:INFO:\U0001f3a4 User stopped speaking
2025-10-02 14:47:51,813:__main__:INFO:Audio playback system ready
2025-10-02 14:47:51,816:__main__:INFO:\U0001f916 Assistant response created
2025-10-02 14:47:58,009:__main__:INFO:\U0001f916 Assistant finished speaking
2025-10-02 14:47:58,009:__main__:INFO:\u2705 Response complete
2025-10-02 14:48:07,309:__main__:INFO:Received shutdown signal

In dit artikel leert u hoe u Voice Live gebruikt met Microsoft Foundry-modellen met behulp van de VoiceLive SDK voor C#.

Referentiedocumentatiepakket (NuGet) |

U maakt en voert een toepassing uit om Voice Live rechtstreeks te gebruiken met generatieve AI-modellen voor realtime spraakagenten.

  • Door modellen rechtstreeks te gebruiken, kunt u aangepaste instructies (prompts) voor elke sessie opgeven, wat meer flexibiliteit biedt voor dynamische of experimentele use cases.

  • Modellen kunnen de voorkeur hebben wanneer u gedetailleerde controle wilt over sessieparameters of vaak de prompt of configuratie moet aanpassen zonder een agent in de portal bij te werken.

  • De code voor modelgebaseerde sessies is in sommige opzichten eenvoudiger, omdat hiervoor geen agent-id's of agentspecifieke instellingen nodig zijn.

  • Direct modelgebruik is geschikt voor scenario's waarbij abstractie op agentniveau of ingebouwde logica niet nodig is.

Als u in plaats daarvan de Voice Live-API wilt gebruiken met agents, raadpleegt u de quickstart voor Voice Live API-agents.

Vereiste voorwaarden

Een spraakgesprek starten

Volg deze stappen om een consoletoepassing te maken en de Speech SDK te installeren.

  1. Open een opdrachtpromptvenster in de map waarin u het nieuwe project wilt opnemen. Voer deze opdracht uit om een consoletoepassing te maken met de .NET CLI.

    dotnet new console

    Met deze opdracht maakt u het Program.cs bestand in de projectmap.

  2. Installeer de Voice Live SDK, Azure Identity en NAudio in uw nieuwe project met de .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. Maak een nieuw bestand met de naam appsettings.json in de map waarin u de code wilt uitvoeren. Voeg in dat bestand de volgende JSON-inhoud toe:

    {
  "VoiceLive": {
    "ApiKey": "your-api-key-here",
    "Endpoint": "https://your-resource-name.services.ai.azure.com/",
    "Model": "gpt-realtime",
    "Voice": "en-US-Ava:DragonHDLatestNeural",
    "Instructions": "You are a helpful AI assistant. Respond naturally and conversationally. Keep your responses concise but engaging."
  },
  "Logging": {
    "LogLevel": {
      "Default": "Information",
      "Azure.AI.VoiceLive": "Debug"
    }
  }
}

    De voorbeeldcode in deze quickstart maakt gebruik van Microsoft Entra-id of een API-sleutel voor verificatie. U kunt het scriptargument instellen op uw API-sleutel of uw toegangstoken. U wordt aangeraden Microsoft Entra ID-verificatie te gebruiken in plaats van de ApiKey waarde in te stellen en de quickstart uit te voeren met het --use-token-credential argument.

    Vervang de ApiKey waarde (optioneel) door uw Foundry-API-sleutel en vervang de Endpoint waarde door uw resource-eindpunt. U kunt indien nodig ook de waarden model, spraak en instructies wijzigen.

    Meer informatie over sleutelloze verificatie en het instellen van omgevingsvariabelen.

  4. Voeg in het bestand csharp.csproj de volgende informatie toe om de appsettings.jsonte verbinden:

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

  5. Vervang de inhoud door Program.cs de volgende code. Met deze code maakt u een eenvoudige spraakagent met behulp van een van de ingebouwde modellen. Zie het voorbeeld op GitHub voor een gedetailleerdere versie.

    // Copyright (c) Microsoft Corporation. All rights reserved.
// Licensed under the MIT License.

using System;
using System.CommandLine;
using System.Threading;
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 (Consolidated)
    /// </summary>
    /// <remarks>
    /// DESCRIPTION:
    ///     This consolidated sample demonstrates the fundamental capabilities of the VoiceLive SDK by creating
    ///     a basic voice assistant that can engage in natural conversation with proper interruption
    ///     handling. This serves as the foundational example that showcases the core value
    ///     proposition of unified speech-to-speech interaction.
    ///     
    ///     All necessary code has been consolidated into this single file for easy distribution and execution.
    ///
    /// USAGE:
    ///     dotnet run
    ///
    ///     Set the environment variables with your own values before running the sample:
    ///     1) AZURE_VOICELIVE_API_KEY - The Azure VoiceLive API key
    ///     2) AZURE_VOICELIVE_ENDPOINT - The Azure VoiceLive endpoint
    ///
    ///     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("Basic Voice Assistant using Azure 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 modelOption = new Option<string>(
                "--model",
                () => "gpt-4o",
                "VoiceLive model to use");

            var voiceOption = new Option<string>(
                "--voice",
                () => "en-US-AvaNeural",
                "Voice to use for the assistant");

            var instructionsOption = new Option<string>(
                "--instructions",
                () => "You are a helpful AI assistant. Respond naturally and conversationally. Keep your responses concise but engaging.",
                "System instructions for the AI assistant");

            var useTokenCredentialOption = new Option<bool>(
                "--use-token-credential",
                "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(modelOption);
            rootCommand.AddOption(voiceOption);
            rootCommand.AddOption(instructionsOption);
            rootCommand.AddOption(useTokenCredentialOption);
            rootCommand.AddOption(verboseOption);

            rootCommand.SetHandler(async (
                string? apiKey,
                string endpoint,
                string model,
                string voice,
                string instructions,
                bool useTokenCredential,
                bool verbose) =>
            {
                await RunVoiceAssistantAsync(apiKey, endpoint, model, voice, instructions, useTokenCredential, verbose).ConfigureAwait(false);
            },
            apiKeyOption,
            endpointOption,
            modelOption,
            voiceOption,
            instructionsOption,
            useTokenCredentialOption,
            verboseOption);

            return rootCommand;
        }

        private static async Task RunVoiceAssistantAsync(
            string? apiKey,
            string endpoint,
            string model,
            string voice,
            string instructions,
            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;
            model = configuration["VoiceLive:Model"] ?? model;
            voice = configuration["VoiceLive:Voice"] ?? voice;
            instructions = configuration["VoiceLive:Instructions"] ?? instructions;

            // 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 credentials
            if (string.IsNullOrEmpty(apiKey) && !useTokenCredential)
            {
                Console.WriteLine("❌ Error: No 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;
            }

            // Check audio system before starting
            if (!CheckAudioSystem(logger))
            {
                return;
            }

            try
            {
                // Create client with appropriate credential
                VoiceLiveClient client;
                if (useTokenCredential)
                {
                    var tokenCredential = new DefaultAzureCredential();
                    client = new VoiceLiveClient(new Uri(endpoint), tokenCredential, new VoiceLiveClientOptions());
                    logger.LogInformation("Using Azure token credential");
                }
                else
                {
                    var keyCredential = new Azure.AzureKeyCredential(apiKey!);
                    client = new VoiceLiveClient(new Uri(endpoint), keyCredential, new VoiceLiveClientOptions());
                    logger.LogInformation("Using API key credential");
                }

                // Create and start voice assistant
                using var assistant = new BasicVoiceAssistant(
                    client,
                    model,
                    voice,
                    instructions,
                    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 _model;
        private readonly string _voice;
        private readonly string _instructions;
        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 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="model">The model to use.</param>
        /// <param name="voice">The voice to use.</param>
        /// <param name="instructions">The system instructions.</param>
        /// <param name="loggerFactory">Logger factory for creating loggers.</param>
        public BasicVoiceAssistant(
            VoiceLiveClient client,
            string model,
            string voice,
            string instructions,
            ILoggerFactory loggerFactory)
        {
            _client = client ?? throw new ArgumentNullException(nameof(client));
            _model = model ?? throw new ArgumentNullException(nameof(model));
            _voice = voice ?? throw new ArgumentNullException(nameof(voice));
            _instructions = instructions ?? throw new ArgumentNullException(nameof(instructions));
            _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 model {Model}", _model);

                // Start VoiceLive session
                _session = await _client.StartSessionAsync(_model, cancellationToken).ConfigureAwait(false);

                // Initialize audio processor
                _audioProcessor = new AudioProcessor(_session, _loggerFactory.CreateLogger<AudioProcessor>());

                // Configure session for voice conversation
                await SetupSessionAsync(cancellationToken).ConfigureAwait(false);

                // 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>
        /// Configure the VoiceLive session for audio conversation.
        /// </summary>
        private async Task SetupSessionAsync(CancellationToken cancellationToken)
        {
            _logger.LogInformation("Setting up voice conversation session...");

            // 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
            var sessionOptions = new VoiceLiveSessionOptions
            {
                InputAudioEchoCancellation = new AudioEchoCancellation(),
                Model = _model,
                Instructions = _instructions,
                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);

            await _session!.ConfigureSessionAsync(sessionOptions, cancellationToken).ConfigureAwait(false);

            _logger.LogInformation("Session configuration sent");
        }

        /// <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)
                    {
                        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 active and cancellable
                    if (_responseActive && _canCancelResponse)
                    {
                        // Cancel any ongoing response
                        try
                        {
                            await _session!.CancelResponseAsync(cancellationToken).ConfigureAwait(false);
                            _logger.LogInformation("🛑 Active response cancelled due to user barge-in");
                        }
                        catch (Exception ex)
                        {
                            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
                        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/cancellable response during barge-in; skipping cancellation");
                    }
                    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;
                    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...");
                    break;

                case SessionUpdateResponseDone responseDone:
                    _logger.LogInformation("✅ Response complete");
                    _responseActive = false;
                    _canCancelResponse = false;
                    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. Voer uw consoletoepassing uit om het livegesprek te starten:

    dotnet run --use-token-credential

Uitvoer

De uitvoer van het script wordt afgedrukt op de console. U ziet berichten die de status van de verbinding, audiostream en afspelen aangeven. De audio wordt afgespeeld via uw luidsprekers of hoofdtelefoon.

info: Azure.AI.VoiceLive.Samples.Program[0]
      Audio system check passed (default input/output initialized).
info: Azure.AI.VoiceLive.Samples.Program[0]
      Using Azure token credential
info: Azure.AI.VoiceLive.Samples.BasicVoiceAssistant[0]
      Connecting to VoiceLive API with model gpt-realtime
info: Azure.AI.VoiceLive.Samples.AudioProcessor[0]
      AudioProcessor initialized with 24000Hz PCM16 mono audio
info: Azure.AI.VoiceLive.Samples.BasicVoiceAssistant[0]
      Setting up voice conversation session...
info: Azure.AI.VoiceLive.Samples.BasicVoiceAssistant[0]
      Session configuration sent
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_CVnpwfxxxxxACIzrrr7
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
🤔 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

In dit artikel leert u hoe u Voice Live gebruikt met Microsoft Foundry-modellen met behulp van de VoiceLive SDK voor Java.

Referentiedocumentatie | Pakket (Maven) | Aanvullende voorbeelden op GitHub

U maakt en voert een toepassing uit om Voice Live rechtstreeks te gebruiken met generatieve AI-modellen voor realtime spraakagenten.

  • Door modellen rechtstreeks te gebruiken, kunt u aangepaste instructies (prompts) voor elke sessie opgeven, wat meer flexibiliteit biedt voor dynamische of experimentele use cases.

  • Modellen kunnen de voorkeur hebben wanneer u gedetailleerde controle wilt over sessieparameters of vaak de prompt of configuratie moet aanpassen zonder een agent in de portal bij te werken.

  • De code voor modelgebaseerde sessies is in sommige opzichten eenvoudiger, omdat hiervoor geen agent-id's of agentspecifieke instellingen nodig zijn.

  • Direct modelgebruik is geschikt voor scenario's waarbij abstractie op agentniveau of ingebouwde logica niet nodig is.

Als u in plaats daarvan de Voice Live-API wilt gebruiken met agents, raadpleegt u de quickstart voor Voice Live API-agents.

Vereiste voorwaarden

Aanbeveling

Als u Voice Live wilt gebruiken, hoeft u geen audiomodel te implementeren met uw Foundry-resource. Voice Live wordt volledig beheerd en het model wordt automatisch voor u geïmplementeerd. Zie de overzichtsdocumentatie van Voice Live voor meer informatie over de beschikbaarheid van modellen.

Opmerking

Voor sleutelloze verificatie met Microsoft Entra-id installeert u de Azure CLI en wijst u de Cognitive Services User rol toe aan uw gebruikersaccount. U kunt rollen toewijzen in Azure Portal onder Toegangsbeheer (IAM)>Roltoewijzing toevoegen.

Configuratie

  1. Maak een nieuwe map voice-live-quickstart en ga naar de snelstartmap met de volgende opdracht:

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

  2. Maak een pom.xml bestand in de hoofdmap van uw projectmap met de volgende inhoud:

    <?xml version="1.0" encoding="UTF-8"?>
<project xmlns="http://maven.apache.org/POM/4.0.0"
         xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
         xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
    <modelVersion>4.0.0</modelVersion>

    <groupId>com.azure.ai.voicelive</groupId>
    <artifactId>model-quickstart</artifactId>
    <version>1.0.0</version>
    <packaging>jar</packaging>

    <name>Azure VoiceLive Model Quickstart</name>
    <description>Model quickstart sample for Azure AI VoiceLive SDK</description>

    <properties>
        <maven.compiler.source>11</maven.compiler.source>
        <maven.compiler.target>11</maven.compiler.target>
        <project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
    </properties>

    <dependencies>
        <!-- Azure VoiceLive SDK -->
        <dependency>
            <groupId>com.azure</groupId>
            <artifactId>azure-ai-voicelive</artifactId>
            <version>1.0.0-beta.1</version>
        </dependency>

        <!-- Azure Core -->
        <dependency>
            <groupId>com.azure</groupId>
            <artifactId>azure-core</artifactId>
            <version>1.53.0</version>
        </dependency>

        <!-- Azure Identity for authentication -->
        <dependency>
            <groupId>com.azure</groupId>
            <artifactId>azure-identity</artifactId>
            <version>1.11.0</version>
        </dependency>

        <!-- Reactor Core for reactive programming -->
        <dependency>
            <groupId>io.projectreactor</groupId>
            <artifactId>reactor-core</artifactId>
            <version>3.5.11</version>
        </dependency>

        <!-- SLF4J for logging -->
        <dependency>
            <groupId>org.slf4j</groupId>
            <artifactId>slf4j-api</artifactId>
            <version>2.0.9</version>
        </dependency>
        <dependency>
            <groupId>org.slf4j</groupId>
            <artifactId>slf4j-simple</artifactId>
            <version>2.0.9</version>
        </dependency>
    </dependencies>

    <build>
        <sourceDirectory>.</sourceDirectory>
        <plugins>
            <plugin>
                <groupId>org.apache.maven.plugins</groupId>
                <artifactId>maven-compiler-plugin</artifactId>
                <version>3.11.0</version>
                <configuration>
                    <source>11</source>
                    <target>11</target>
                </configuration>
            </plugin>
            <plugin>
                <groupId>org.codehaus.mojo</groupId>
                <artifactId>exec-maven-plugin</artifactId>
                <version>3.1.0</version>
                <configuration>
                    <mainClass>ModelQuickstart</mainClass>
                </configuration>
            </plugin>
        </plugins>
    </build>
</project>

    Opmerking

    De <sourceDirectory>.</sourceDirectory> configuratie vertelt Maven om te zoeken naar Java-bronbestanden in de huidige map in plaats van de standaardstructuur src/main/java . Dit maakt een eenvoudigere platte projectstructuur mogelijk.

  3. Installeer de afhankelijkheden:

    mvn clean install

  4. Verificatie configureren : Kopiëren application.properties.sample naar application.properties en bijwerken met uw waarden:

    azure.voicelive.endpoint=https://your-resource-name.services.ai.azure.com/
azure.voicelive.api-key=your-api-key
azure.voicelive.api-version=2025-10-01

    Opmerking

    U kunt ook omgevingsvariabelen gebruiken in plaats van application.properties. Instellen AZURE_VOICELIVE_ENDPOINT en AZURE_VOICELIVE_API_KEY. De toepassing controleert application.properties eerst en valt vervolgens terug op omgevingsvariabelen.

  5. Voer het voorbeeld uit:

    mvn exec:java

    Azure-tokenreferentieverificatie gebruiken in plaats van API-sleutel:

    az login
mvn exec:java -Dexec.args="--use-token-credential"

    Opmerking

    In sommige terminals, zoals bijvoorbeeld PowerShell, moet u mogelijk escapesequenties toepassen op de argumenten. In PowerShell gebruiken mvn exec:java `"-Dexec.args=--use-token-credential`"

Resourcegegevens ophalen

Maak een nieuw bestand met de naam .env in de map waarin u de code wilt uitvoeren.

Voeg in het .env bestand de volgende omgevingsvariabelen toe voor verificatie:

AZURE_VOICELIVE_ENDPOINT=<your_endpoint>
AZURE_VOICELIVE_MODEL=<your_model>
AZURE_VOICELIVE_API_VERSION=2025-10-01
AZURE_VOICELIVE_API_KEY=<your_api_key> # Only required if using API key authentication

Vervang de standaardwaarden door uw werkelijke eindpunt, model, API-versie en API-sleutel.

Naam van de variabele Waarde
AZURE_VOICELIVE_ENDPOINT Deze waarde vindt u in de sectie Sleutels en eindpunt bij het controleren van uw resource vanuit Azure Portal.
AZURE_VOICELIVE_MODEL Het model dat u wilt gebruiken. Een voorbeeld hiervan is gpt-4o of gpt-realtime-mini. Zie de overzichtsdocumentatie van de Voice Live-API voor meer informatie over de beschikbaarheid van modellen.
AZURE_VOICELIVE_API_VERSION De API-versie die u wilt gebruiken. Bijvoorbeeld: 2025-10-01.

Meer informatie over sleutelloze verificatie en het instellen van omgevingsvariabelen.

Voorbeeldcode toevoegen

Maak het ModelQuickstart.java bestand met de volgende code:

// Copyright (c) Microsoft Corporation. All rights reserved.
// Licensed under the MIT License.

import com.azure.ai.voicelive.VoiceLiveAsyncClient;
import com.azure.ai.voicelive.VoiceLiveClientBuilder;
import com.azure.ai.voicelive.VoiceLiveServiceVersion;
import com.azure.ai.voicelive.VoiceLiveSessionAsyncClient;
import com.azure.ai.voicelive.models.AudioEchoCancellation;
import com.azure.ai.voicelive.models.AudioInputTranscriptionOptions;
import com.azure.ai.voicelive.models.AudioInputTranscriptionOptionsModel;
import com.azure.ai.voicelive.models.AudioNoiseReduction;
import com.azure.ai.voicelive.models.AudioNoiseReductionType;
import com.azure.ai.voicelive.models.ClientEventSessionUpdate;
import com.azure.ai.voicelive.models.InputAudioFormat;
import com.azure.ai.voicelive.models.InteractionModality;
import com.azure.ai.voicelive.models.AzureStandardVoice;
import com.azure.ai.voicelive.models.OutputAudioFormat;
import com.azure.ai.voicelive.models.ServerEventType;
import com.azure.ai.voicelive.models.ServerVadTurnDetection;
import com.azure.ai.voicelive.models.SessionUpdate;
import com.azure.ai.voicelive.models.SessionUpdateError;
import com.azure.ai.voicelive.models.SessionUpdateResponseAudioDelta;
import com.azure.ai.voicelive.models.SessionUpdateSessionUpdated;
import com.azure.ai.voicelive.models.VoiceLiveSessionOptions;
import com.azure.core.credential.KeyCredential;
import com.azure.core.credential.TokenCredential;
import com.azure.core.util.BinaryData;
import com.azure.identity.AzureCliCredentialBuilder;
import reactor.core.publisher.Mono;
import reactor.core.scheduler.Schedulers;

import javax.sound.sampled.AudioFormat;
import javax.sound.sampled.AudioSystem;
import javax.sound.sampled.DataLine;
import javax.sound.sampled.LineUnavailableException;
import javax.sound.sampled.SourceDataLine;
import javax.sound.sampled.TargetDataLine;

import java.io.FileInputStream;
import java.io.IOException;
import java.io.InputStream;
import java.util.Arrays;
import java.util.Properties;
import java.util.concurrent.BlockingQueue;
import java.util.concurrent.LinkedBlockingQueue;
import java.util.concurrent.atomic.AtomicBoolean;
import java.util.concurrent.atomic.AtomicInteger;
import java.util.concurrent.atomic.AtomicReference;

/**
    * Complete voice assistant sample demonstrating full-featured real-time voice conversation.
    *
    * <p><strong>NOTE:</strong> This is a comprehensive sample showing all features together.
    * For easier understanding, see these focused samples:</p>
    * <ul>
    *   <li>{@link BasicVoiceConversationSample} - Minimal setup and session management</li>
    *   <li>{@link MicrophoneInputSample} - Audio capture from microphone</li>
    *   <li>{@link AudioPlaybackSample} - Audio playback to speakers</li>
    *   <li>{@link AuthenticationMethodsSample} - Different authentication methods</li>
    * </ul>
    *
    * <p>This sample demonstrates:</p>
    * <ul>
    *   <li>Real-time microphone audio capture</li>
    *   <li>Streaming audio to VoiceLive service</li>
    *   <li>Receiving and playing audio responses</li>
    *   <li>Voice Activity Detection (VAD) with interruption handling</li>
    *   <li>Multi-threaded audio processing</li>
    *   <li>Audio transcription with Whisper</li>
    *   <li>Noise reduction and echo cancellation</li>
    *   <li>Dual authentication support (API key and token credential)</li>
    * </ul>
    *
    * <p><strong>Environment Variables Required:</strong></p>
    * <ul>
    *   <li>AZURE_VOICELIVE_ENDPOINT - The VoiceLive service endpoint URL</li>
    *   <li>AZURE_VOICELIVE_API_KEY - The API key (required if not using --use-token-credential)</li>
    * </ul>
    *
    * <p><strong>Audio Requirements:</strong></p>
    * The sample requires a working microphone and speakers/headphones.
    * Audio format is 24kHz, 16-bit PCM, mono as required by the VoiceLive service.
    *
    * <p><strong>How to Run:</strong></p>
    * <pre>{@code
    * # With API Key (default):
    * mvn exec:java -Dexec.mainClass="com.azure.ai.voicelive.VoiceAssistantSample" -Dexec.classpathScope=test
    *
    * # With Token Credential:
    * mvn exec:java -Dexec.mainClass="ModelQuickstart" -Dexec.classpathScope=test -Dexec.args="--use-token-credential"
    * }</pre>
    */
public final class ModelQuickstart {

    // Service configuration constants
    private static final String DEFAULT_API_VERSION = "2025-10-01";
    private static final String DEFAULT_MODEL = "gpt-realtime";
    private static final String DEFAULT_VOICE = "en-US-Ava:DragonHDLatestNeural";
    private static final String DEFAULT_INSTRUCTIONS = "You are a helpful AI voice assistant. Respond naturally and conversationally. Keep your responses concise but engaging. Speak as if having a real conversation.";

    // Environment variable names
    private static final String ENV_ENDPOINT = "AZURE_VOICELIVE_ENDPOINT";
    private static final String ENV_API_KEY = "AZURE_VOICELIVE_API_KEY";

    // Audio format constants (VoiceLive requirements)
    private static final int SAMPLE_RATE = 24000;          // 24kHz as required by VoiceLive
    private static final int CHANNELS = 1;                 // Mono
    private static final int SAMPLE_SIZE_BITS = 16;        // 16-bit PCM
    private static final int CHUNK_SIZE = 1200;            // 50ms chunks (24000 * 0.05)
    private static final int AUDIO_BUFFER_SIZE_MULTIPLIER = 4;

    // Private constructor to prevent instantiation
    private ModelQuickstart() {
        throw new UnsupportedOperationException("Utility class cannot be instantiated");
    }

    /**
        * Audio packet for playback queue management.
        * Uses sequence numbers to support interruption handling.
        */
    private static class AudioPlaybackPacket {
        final int sequenceNumber;
        final byte[] audioData;

        AudioPlaybackPacket(int sequenceNumber, byte[] audioData) {
            this.sequenceNumber = sequenceNumber;
            this.audioData = audioData;
        }
    }

    /**
        * Handles real-time audio capture from microphone and playback to speakers.
        *
        * <p>This class manages two separate threads:</p>
        * <ul>
        *   <li>Capture thread: Continuously reads audio from microphone and sends to VoiceLive service</li>
        *   <li>Playback thread: Receives audio responses and plays them through speakers</li>
        * </ul>
        *
        * <p>Supports interruption handling where user speech can cancel ongoing assistant responses.</p>
        */
    private static class AudioProcessor {
        private final VoiceLiveSessionAsyncClient session;
        private final AudioFormat audioFormat;

        // Audio capture components
        private TargetDataLine microphone;
        private final AtomicBoolean isCapturing = new AtomicBoolean(false);

        // Audio playback components
        private SourceDataLine speaker;
        private final BlockingQueue<AudioPlaybackPacket> playbackQueue = new LinkedBlockingQueue<>();
        private final AtomicBoolean isPlaying = new AtomicBoolean(false);
        private final AtomicInteger nextSequenceNumber = new AtomicInteger(0);
        private final AtomicInteger playbackBase = new AtomicInteger(0);

        AudioProcessor(VoiceLiveSessionAsyncClient session) {
            this.session = session;
            this.audioFormat = new AudioFormat(
                AudioFormat.Encoding.PCM_SIGNED,
                SAMPLE_RATE,
                SAMPLE_SIZE_BITS,
                CHANNELS,
                CHANNELS * SAMPLE_SIZE_BITS / 8, // frameSize
                SAMPLE_RATE,
                false // bigEndian
            );
        }

        /**
            * Start capturing audio from microphone
            */
        void startCapture() {
            if (isCapturing.get()) {
                return;
            }

            try {
                DataLine.Info micInfo = new DataLine.Info(TargetDataLine.class, audioFormat);

                if (!AudioSystem.isLineSupported(micInfo)) {
                    throw new UnsupportedOperationException("Microphone not supported with required format");
                }

                microphone = (TargetDataLine) AudioSystem.getLine(micInfo);
                microphone.open(audioFormat, CHUNK_SIZE * AUDIO_BUFFER_SIZE_MULTIPLIER);
                microphone.start();

                isCapturing.set(true);

                // Start capture thread
                Thread captureThread = new Thread(this::captureAudioLoop, "VoiceLive-AudioCapture");
                captureThread.setDaemon(true);
                captureThread.start();

                System.out.println("🎤 Microphone capture started");

            } catch (LineUnavailableException e) {
                System.err.println("❌ Failed to start microphone: " + e.getMessage());
                throw new RuntimeException("Failed to initialize microphone", e);
            }
        }

        /**
            * Starts audio playback system.
            */
        void startPlayback() {
            if (isPlaying.get()) {
                return;
            }

            try {
                DataLine.Info speakerInfo = new DataLine.Info(SourceDataLine.class, audioFormat);

                if (!AudioSystem.isLineSupported(speakerInfo)) {
                    throw new UnsupportedOperationException("Speaker not supported with required format");
                }

                speaker = (SourceDataLine) AudioSystem.getLine(speakerInfo);
                speaker.open(audioFormat, CHUNK_SIZE * AUDIO_BUFFER_SIZE_MULTIPLIER);
                speaker.start();

                isPlaying.set(true);

                // Start playback thread
                Thread playbackThread = new Thread(this::playbackAudioLoop, "VoiceLive-AudioPlayback");
                playbackThread.setDaemon(true);
                playbackThread.start();

                System.out.println("🔊 Audio playback started");

            } catch (LineUnavailableException e) {
                System.err.println("❌ Failed to start speaker: " + e.getMessage());
                throw new RuntimeException("Failed to initialize speaker", e);
            }
        }

        /**
            * Audio capture loop - runs in separate thread
            */
        private void captureAudioLoop() {
            byte[] buffer = new byte[CHUNK_SIZE * 2]; // 16-bit samples
            System.out.println("🎤 Audio capture loop started");

            while (isCapturing.get() && microphone != null) {
                try {
                    int bytesRead = microphone.read(buffer, 0, buffer.length);
                    if (bytesRead > 0) {
                        // Send audio to VoiceLive service
                        byte[] audioChunk = Arrays.copyOf(buffer, bytesRead);

                        // Send audio asynchronously using the session's audio buffer append
                        session.sendInputAudio(BinaryData.fromBytes(audioChunk))
                            .subscribeOn(Schedulers.boundedElastic())
                            .subscribe(
                                v -> {}, // onNext
                                error -> {
                                    // Only log non-interruption errors
                                    if (!error.getMessage().contains("cancelled")) {
                                        System.err.println("❌ Error sending audio: " + error.getMessage());
                                    }
                                }
                            );
                    }
                } catch (Exception e) {
                    if (isCapturing.get()) {
                        System.err.println("❌ Error in audio capture: " + e.getMessage());
                    }
                    break;
                }
            }
            System.out.println("🎤 Audio capture loop ended");
        }

        /**
            * Audio playback loop - runs in separate thread
            */
        private void playbackAudioLoop() {
            while (isPlaying.get()) {
                try {
                    AudioPlaybackPacket packet = playbackQueue.take(); // Blocking wait

                    if (packet.audioData == null) {
                        // Shutdown signal
                        break;
                    }

                    // Check if packet should be skipped (interrupted)
                    int currentBase = playbackBase.get();
                    if (packet.sequenceNumber < currentBase) {
                        // Skip interrupted audio
                        continue;
                    }

                    // Play the audio
                    if (speaker != null && speaker.isOpen()) {
                        speaker.write(packet.audioData, 0, packet.audioData.length);
                    }

                } catch (InterruptedException e) {
                    Thread.currentThread().interrupt();
                    break;
                } catch (Exception e) {
                    System.err.println("❌ Error in audio playback: " + e.getMessage());
                }
            }
        }

        /**
            * Queue audio data for playback
            */
        void queueAudio(byte[] audioData) {
            if (audioData != null && audioData.length > 0) {
                int seqNum = nextSequenceNumber.getAndIncrement();
                playbackQueue.offer(new AudioPlaybackPacket(seqNum, audioData));
            }
        }

        /**
            * Skip pending audio (for interruption handling)
            */
        void skipPendingAudio() {
            playbackBase.set(nextSequenceNumber.get());
            playbackQueue.clear();

            // Also drain the speaker buffer to stop playback immediately
            if (speaker != null && speaker.isOpen()) {
                speaker.flush();
            }
        }

        /**
            * Stop capture and playback
            */
        void shutdown() {
            // Stop capture
            isCapturing.set(false);
            if (microphone != null) {
                microphone.stop();
                microphone.close();
                microphone = null;
            }
            System.out.println("🎤 Microphone capture stopped");

            // Stop playback
            isPlaying.set(false);
            playbackQueue.offer(new AudioPlaybackPacket(-1, null)); // Shutdown signal
            if (speaker != null) {
                speaker.stop();
                speaker.close();
                speaker = null;
            }
            System.out.println("🔊 Audio playback stopped");
        }
    }

    /**
        * Configuration class to hold application settings.
        */
    private static class Config {
        String endpoint;
        String apiKey;
        String model = DEFAULT_MODEL;
        String voice = DEFAULT_VOICE;
        String instructions = DEFAULT_INSTRUCTIONS;
        boolean useTokenCredential = false;

        static Config load(String[] args) {
            Config config = new Config();
            
            // 1. Load from application.properties first
            Properties props = loadProperties();
            if (props != null) {
                config.endpoint = props.getProperty("azure.voicelive.endpoint");
                config.apiKey = props.getProperty("azure.voicelive.api-key");
                config.model = props.getProperty("azure.voicelive.model", DEFAULT_MODEL);
                config.voice = props.getProperty("azure.voicelive.voice", DEFAULT_VOICE);
                config.instructions = props.getProperty("azure.voicelive.instructions", DEFAULT_INSTRUCTIONS);
            }
            
            // 2. Override with environment variables if present
            if (System.getenv(ENV_ENDPOINT) != null) {
                config.endpoint = System.getenv(ENV_ENDPOINT);
            }
            if (System.getenv(ENV_API_KEY) != null) {
                config.apiKey = System.getenv(ENV_API_KEY);
            }
            if (System.getenv("AZURE_VOICELIVE_MODEL") != null) {
                config.model = System.getenv("AZURE_VOICELIVE_MODEL");
            }
            if (System.getenv("AZURE_VOICELIVE_VOICE") != null) {
                config.voice = System.getenv("AZURE_VOICELIVE_VOICE");
            }
            if (System.getenv("AZURE_VOICELIVE_INSTRUCTIONS") != null) {
                config.instructions = System.getenv("AZURE_VOICELIVE_INSTRUCTIONS");
            }
            
            // 3. Parse command line arguments (highest priority)
            for (int i = 0; i < args.length; i++) {
                switch (args[i]) {
                    case "--endpoint":
                        if (i + 1 < args.length) config.endpoint = args[++i];
                        break;
                    case "--api-key":
                        if (i + 1 < args.length) config.apiKey = args[++i];
                        break;
                    case "--model":
                        if (i + 1 < args.length) config.model = args[++i];
                        break;
                    case "--voice":
                        if (i + 1 < args.length) config.voice = args[++i];
                        break;
                    case "--instructions":
                        if (i + 1 < args.length) config.instructions = args[++i];
                        break;
                    case "--use-token-credential":
                        config.useTokenCredential = true;
                        break;
                }
            }
            
            return config;
        }
    }

    /**
        * Load configuration from application.properties file.
        */
    private static Properties loadProperties() {
        Properties props = new Properties();
        try (InputStream input = new FileInputStream("application.properties")) {
            props.load(input);
            System.out.println("✓ Loaded configuration from application.properties");
            return props;
        } catch (IOException e) {
            // File not found or cannot be read - this is OK, will use env vars
            return null;
        }
    }

    /**
        * Main method to run the voice assistant sample.
        *
        * <p>Configuration priority (highest to lowest):</p>
        * <ol>
        *   <li>Command line arguments</li>
        *   <li>Environment variables</li>
        *   <li>application.properties file</li>
        * </ol>
        *
        * <p>Supported command line arguments:</p>
        * <ul>
        *   <li>--endpoint &lt;url&gt; - VoiceLive endpoint URL</li>
        *   <li>--api-key &lt;key&gt; - API key for authentication</li>
        *   <li>--model &lt;model&gt; - Model to use (default: gpt-realtime)</li>
        *   <li>--voice &lt;voice&gt; - Voice name (e.g., en-US-Ava:DragonHDLatestNeural)</li>
        *   <li>--instructions &lt;text&gt; - Custom system instructions</li>
        *   <li>--use-token-credential - Use Azure CLI authentication instead of API key</li>
        * </ul>
        *
        * @param args Command line arguments
        */
    public static void main(String[] args) {
        // Load configuration
        Config config = Config.load(args);

        // Validate configuration
        if (config.endpoint == null) {
            printUsage();
            return;
        }

        if (!config.useTokenCredential && config.apiKey == null) {
            System.err.println("❌ API key is required when not using --use-token-credential");
            System.err.println("   Set it via:");
            System.err.println("   - application.properties: azure.voicelive.api-key=<your-key>");
            System.err.println("   - Environment variable: AZURE_VOICELIVE_API_KEY=<your-key>");
            System.err.println("   - Command line: --api-key <your-key>");
            printUsage();
            return;
        }

        // Check audio system availability
        if (!checkAudioSystem()) {
            System.err.println("❌ Audio system check failed. Please ensure microphone and speakers are available.");
            return;
        }

        System.out.println("🎙️ Starting Voice Assistant...");
        System.out.println("   Model: " + config.model);
        if (config.voice != null) {
            System.out.println("   Voice: " + config.voice);
        }

        try {
            if (config.useTokenCredential) {
                // Use token credential authentication (Azure CLI)
                System.out.println("🔑 Using Token Credential authentication (Azure CLI)");
                System.out.println("   Make sure you have run 'az login' before running this sample");
                TokenCredential credential = new AzureCliCredentialBuilder().build();
                runVoiceAssistant(config, credential);
            } else {
                // Use API Key authentication
                System.out.println("🔑 Using API Key authentication");
                runVoiceAssistant(config, new KeyCredential(config.apiKey));
            }
            System.out.println("✓ Voice Assistant completed successfully");
        } catch (Exception e) {
            System.err.println("❌ Voice Assistant failed: " + e.getMessage());
            e.printStackTrace();
        }
    }

    /**
        * Check if audio system is available
        */
    private static boolean checkAudioSystem() {
        try {
            AudioFormat format = new AudioFormat(SAMPLE_RATE, SAMPLE_SIZE_BITS, CHANNELS, true, false);

            // Check microphone
            DataLine.Info micInfo = new DataLine.Info(TargetDataLine.class, format);
            if (!AudioSystem.isLineSupported(micInfo)) {
                System.err.println("❌ No compatible microphone found");
                return false;
            }

            // Check speaker
            DataLine.Info speakerInfo = new DataLine.Info(SourceDataLine.class, format);
            if (!AudioSystem.isLineSupported(speakerInfo)) {
                System.err.println("❌ No compatible speaker found");
                return false;
            }

            System.out.println("✓ Audio system check passed");
            return true;

        } catch (Exception e) {
            System.err.println("❌ Audio system check failed: " + e.getMessage());
            return false;
        }
    }

    /**
        * Prints usage instructions for setting up environment variables.
        */
    private static void printUsage() {
        System.err.println("\n═══════════════════════════════════════════════════════════════");
        System.err.println("Usage: mvn exec:java [options]");
        System.err.println("═══════════════════════════════════════════════════════════════");
        System.err.println("\nConfiguration (in priority order):");
        System.err.println("  1. Command line arguments (--endpoint, --api-key, etc.)");
        System.err.println("  2. Environment variables (AZURE_VOICELIVE_ENDPOINT, etc.)");
        System.err.println("  3. application.properties file");
        System.err.println("\nCommand Line Options:");
        System.err.println("  --endpoint <url>         VoiceLive endpoint URL");
        System.err.println("  --api-key <key>          API key for authentication");
        System.err.println("  --model <model>          Model to use (default: gpt-realtime)");
        System.err.println("  --voice <voice>          Voice name (e.g., en-US-Ava:DragonHDLatestNeural)");
        System.err.println("  --instructions <text>    Custom system instructions");
        System.err.println("  --use-token-credential   Use Azure CLI authentication");
        System.err.println("\nExamples:");
        System.err.println("  # Using application.properties:");
        System.err.println("  mvn exec:java");
        System.err.println("\n  # Using command line arguments:");
        System.err.println("  mvn exec:java -Dexec.args=\"--endpoint https://... --api-key <key>\"");
        System.err.println("\n  # Using Azure CLI authentication:");
        System.err.println("  mvn exec:java -Dexec.args=\"--use-token-credential\"");
        System.err.println("\n  # With custom model and voice:");
        System.err.println("  mvn exec:java -Dexec.args=\"--model gpt-4.1 --voice en-US-JennyNeural\"");
        System.err.println("═══════════════════════════════════════════════════════════════\n");
    }

    /**
        * Run the voice assistant with API key authentication.
        *
        * @param config The configuration object
        * @param credential The API key credential
        */
    private static void runVoiceAssistant(Config config, KeyCredential credential) {
        System.out.println("🔧 Initializing VoiceLive client:");
        System.out.println("   Endpoint: " + config.endpoint);

        // Create the VoiceLive client
        VoiceLiveAsyncClient client = new VoiceLiveClientBuilder()
            .endpoint(config.endpoint)
            .credential(credential)
            .serviceVersion(VoiceLiveServiceVersion.V2025_10_01)
            .buildAsyncClient();

        runVoiceAssistantWithClient(client, config);
    }

    /**
        * Run the voice assistant with Azure AD authentication.
        *
        * @param config The configuration object
        * @param credential The token credential
        */
    private static void runVoiceAssistant(Config config, TokenCredential credential) {
        System.out.println("🔧 Initializing VoiceLive client:");
        System.out.println("   Endpoint: " + config.endpoint);

        // Create the VoiceLive client
        VoiceLiveAsyncClient client = new VoiceLiveClientBuilder()
            .endpoint(config.endpoint)
            .credential(credential)
            .serviceVersion(VoiceLiveServiceVersion.V2025_10_01)
            .buildAsyncClient();

        runVoiceAssistantWithClient(client, config);
    }

    /**
        * Run the voice assistant with the configured client.
        *
        * @param client The VoiceLive async client
        * @param config The configuration object
        */
    private static void runVoiceAssistantWithClient(VoiceLiveAsyncClient client, Config config) {
        System.out.println("✓ VoiceLive client created");

        // Configure session options for voice conversation
        VoiceLiveSessionOptions sessionOptions = createVoiceSessionOptions(config);
        AtomicReference<AudioProcessor> audioProcessorRef = new AtomicReference<>();

        // Execute the reactive workflow - start with the configured model
        client.startSession(config.model)
            .flatMap(session -> {
                System.out.println("✓ Session started successfully");

                // Create audio processor
                AudioProcessor audioProcessor = new AudioProcessor(session);
                audioProcessorRef.set(audioProcessor);

                // Subscribe to receive server events asynchronously
                session.receiveEvents()
                    .doOnSubscribe(subscription -> System.out.println("🔗 Subscribed to event stream"))
                    .doOnComplete(() -> System.out.println("⚠️ Event stream completed (this might indicate a connection issue)"))
                    .doOnError(error -> System.out.println("❌ Event stream error: " + error.getMessage()))
                    .subscribe(
                        event -> handleServerEvent(event, audioProcessor),
                        error -> System.err.println("❌ Error receiving events: " + error.getMessage()),
                        () -> System.out.println("✓ Event stream completed")
                    );

                System.out.println("📤 Sending session.update configuration...");
                ClientEventSessionUpdate updateEvent = new ClientEventSessionUpdate(sessionOptions);
                session.sendEvent(updateEvent)
                    .doOnSuccess(v -> System.out.println("✓ Session configuration sent"))
                    .doOnError(error -> System.err.println("❌ Failed to send session.update: " + error.getMessage()))
                    .subscribe();


                // Start audio systems
                audioProcessor.startPlayback();

                System.out.println("🎤 VOICE ASSISTANT READY");
                System.out.println("Start speaking to begin conversation");
                System.out.println("Press Ctrl+C to exit");

                // Install shutdown hook for graceful cleanup
                Runtime.getRuntime().addShutdownHook(new Thread(() -> {
                    System.out.println("\n🛑 Shutting down gracefully...");
                    audioProcessor.shutdown();
                }));

                // Keep the reactive chain alive to continue processing events
                // Mono.never() prevents the chain from completing, allowing the event stream to run
                // The shutdown hook above handles cleanup when the JVM exits (Ctrl+C)
                // Note: In production, use a proper signal mechanism (e.g., CountDownLatch, CompletableFuture)
                return Mono.never();
            })
            .doOnError(error -> System.err.println("❌ Error: " + error.getMessage()))
            .doFinally(signalType -> {
                // Cleanup audio processor
                AudioProcessor audioProcessor = audioProcessorRef.get();
                if (audioProcessor != null) {
                    audioProcessor.shutdown();
                }
            })
            .block(); // Block only for demo purposes; use reactive patterns in production
    }

    /**
        * Create session configuration for voice conversation
        */
    private static VoiceLiveSessionOptions createVoiceSessionOptions(Config config) {
        System.out.println("🔧 Creating session configuration:");

        // Create server VAD configuration similar to Python sample
        ServerVadTurnDetection turnDetection = new ServerVadTurnDetection()
            .setThreshold(0.5)
            .setPrefixPaddingMs(300)
            .setSilenceDurationMs(500)
            .setInterruptResponse(true)
            .setAutoTruncate(true)
            .setCreateResponse(true);

        // Create audio input transcription configuration
        AudioInputTranscriptionOptions transcriptionOptions = new AudioInputTranscriptionOptions(AudioInputTranscriptionOptionsModel.WHISPER_1);

        VoiceLiveSessionOptions options = new VoiceLiveSessionOptions()
            .setInstructions(config.instructions)
            // Voice: AzureStandardVoice for Azure TTS voices (e.g., en-US-Ava:DragonHDLatestNeural)
            .setVoice(BinaryData.fromObject(new AzureStandardVoice(config.voice)))
            .setModalities(Arrays.asList(InteractionModality.TEXT, InteractionModality.AUDIO))
            .setInputAudioFormat(InputAudioFormat.PCM16)
            .setOutputAudioFormat(OutputAudioFormat.PCM16)
            .setInputAudioSamplingRate(SAMPLE_RATE)
            .setInputAudioNoiseReduction(new AudioNoiseReduction(AudioNoiseReductionType.NEAR_FIELD))
            .setInputAudioEchoCancellation(new AudioEchoCancellation())
            .setInputAudioTranscription(transcriptionOptions)
            .setTurnDetection(turnDetection);


        System.out.println("✓ Session configuration created");
        return options;
    }

    /**
        * Handle incoming server events
        */
    private static void handleServerEvent(SessionUpdate event, AudioProcessor audioProcessor) {
        ServerEventType eventType = event.getType();

        try {
            if (eventType == ServerEventType.SESSION_CREATED) {
                System.out.println("✓ Session created - initializing...");
            } else if (eventType == ServerEventType.SESSION_UPDATED) {
                System.out.println("✓ Session updated - starting microphone");

                // Now that bufferObject() bug is fixed in generated code, we can access the typed class
                if (event instanceof SessionUpdateSessionUpdated) {
                    SessionUpdateSessionUpdated sessionUpdated = (SessionUpdateSessionUpdated) event;

                    // Print the full JSON representation
                    System.out.println("📄 Session Updated Event (Full JSON):");
                    String eventJson = BinaryData.fromObject(sessionUpdated).toString();
                    System.out.println(eventJson);
                }

                audioProcessor.startCapture();
            } else if (eventType == ServerEventType.INPUT_AUDIO_BUFFER_SPEECH_STARTED) {
                System.out.println("🎤 Speech detected");
                // Server handles interruption automatically with interruptResponse=true
                // Just clear any pending audio in the playback queue
                audioProcessor.skipPendingAudio();
            } else if (eventType == ServerEventType.INPUT_AUDIO_BUFFER_SPEECH_STOPPED) {
                System.out.println("🤔 Speech ended - processing...");
            } else if (eventType == ServerEventType.RESPONSE_AUDIO_DELTA) {
                // Handle audio response - extract and queue for playback
                if (event instanceof SessionUpdateResponseAudioDelta) {
                    SessionUpdateResponseAudioDelta audioEvent = (SessionUpdateResponseAudioDelta) event;
                    byte[] audioData = audioEvent.getDelta();
                    if (audioData != null && audioData.length > 0) {
                        audioProcessor.queueAudio(audioData);
                    }
                }
            } else if (eventType == ServerEventType.RESPONSE_AUDIO_DONE) {
                System.out.println("🎤 Ready for next input...");
            } else if (eventType == ServerEventType.RESPONSE_DONE) {
                System.out.println("✅ Response complete");
            } else if (eventType == ServerEventType.ERROR) {
                if (event instanceof SessionUpdateError) {
                    SessionUpdateError errorEvent = (SessionUpdateError) event;
                    System.out.println("❌ VoiceLive error: " + errorEvent.getError().getMessage());
                } else {
                    System.out.println("❌ VoiceLive error occurred");
                }
            }
        } catch (Exception e) {
            System.err.println("❌ Error handling event: " + e.getMessage());
            e.printStackTrace();
        }
    }
}

De Voice Live-API begint audio te retourneren met het eerste antwoord van het model. U kunt het model onderbreken door te spreken. Voer Ctrl+C in om het gesprek af te sluiten.

Uitvoer

De uitvoer van de toepassing wordt weergegeven op de console. U ziet berichten die de status van het systeem aangeven:

[INFO] Scanning for projects...
[INFO] 
[INFO] --------------< com.azure.ai.voicelive:model-quickstart >---------------
[INFO] Building Azure VoiceLive Model Quickstart 1.0.0
[INFO]   from pom.xml
[INFO] --------------------------------[ jar ]---------------------------------
[INFO] 
[INFO] --- exec:3.1.0:java (default-cli) @ model-quickstart ---
? Loaded configuration from application.properties
? Audio system check passed
?? Starting Voice Assistant...
   Model: gpt-realtime
   Voice: en-US-Ava:DragonHDLatestNeural
? Using API Key authentication
? Initializing VoiceLive client:
   Endpoint: https://jagoerge-voicelive-weu-resource.services.ai.azure.com/
? VoiceLive client created
? Creating session configuration:
? Session configuration created
[ModelQuickstart.main()] INFO com.azure.ai.voicelive.VoiceLiveSessionAsyncClient - WebSocket connection parameters -> endpoint: wss://my-resource.services.ai.azure.com/voice-live/realtime?api-version=2025-10-01&model=gpt-realtime headers: api-key=0XxX...x0xX
[reactor-http-nio-2] INFO com.azure.ai.voicelive.VoiceLiveSessionAsyncClient - WebSocket connection established
[reactor-http-nio-2] INFO com.azure.ai.voicelive.VoiceLiveSessionAsyncClient - Receive flux subscribed
[reactor-http-nio-2] INFO com.azure.ai.voicelive.VoiceLiveSessionAsyncClient - Send stream subscribed
[reactor-http-nio-2] INFO com.azure.ai.voicelive.VoiceLiveSessionAsyncClient - WebSocket session ready
? Session started successfully
? Subscribed to event stream
? Sending session.update configuration...
? Session configuration sent
? Audio playback started
? VOICE ASSISTANT READY
Start speaking to begin conversation
Press Ctrl+C to exit
? Session created - initializing...
? Session updated - starting microphone
? Session Updated Event (Full JSON):
{"event_id":"event_7VOMH1ALSp5A0Fa17nSZKM","session":{"model":"gpt-realtime","modalities":["audio","text"],"voice":{"name":"en-US-Ava:DragonHDLatestNeural","type":"azure-standard"},"instructions":"You are a helpful AI voice assistant. Respond naturally and conversationally. Keep your responses concise but engaging. Speak as if having a real conversation.","input_audio_sampling_rate":24000,"input_audio_format":"pcm16","output_audio_format":"pcm16","turn_detection":{"type":"server_vad","threshold":0.5,"prefix_padding_ms":300,"silence_duration_ms":500,"auto_truncate":true,"create_response":true,"interrupt_response":true},"input_audio_noise_reduction":{"type":"near_field"},"input_audio_echo_cancellation":{"type":"server_echo_cancellation"},"input_audio_transcription":{"model":"azure-speech","language":""},"tools":[],"tool_choice":"auto","temperature":0.8,"max_response_output_tokens":"inf","id":"sess_7cMSK58ShfrUY1RKnZ6Eoy"},"type":"session.updated"}
? Microphone capture started
? Audio capture loop started
? Speech detected
? Speech ended - processing...
? Ready for next input...
? Response complete
? Speech detected
? Speech ended - processing...
? Ready for next input...
? Response complete
? Speech detected
? Speech ended - processing...
? Ready for next input...
? Speech detected
? Response complete
? Speech ended - processing...

? Shutting down gracefully...
? Audio capture loop ended
? Microphone capture stopped
? Audio playback stopped

Configuratie van logboekregistratie

In het voorbeeld wordt SLF4J gebruikt voor logboekregistratie. Standaard is het niveau van de logboekregistratie ingesteld op INFO. U kunt logboekregistratie configureren door een simplelogger.properties bestand te maken in de hoofdmap van het project (dezelfde map als pom.xml):

# SLF4J Simple Logger Configuration
org.slf4j.simpleLogger.defaultLogLevel=info
org.slf4j.simpleLogger.showDateTime=true
org.slf4j.simpleLogger.dateTimeFormat=yyyy-MM-dd HH:mm:ss:SSS

# Set log level for VoiceLive SDK
org.slf4j.simpleLogger.log.com.azure.ai.voicelive=debug

# Set log level for Azure Core
org.slf4j.simpleLogger.log.com.azure.core=info

Als u logboekregistratie voor foutopsporing wilt inschakelen, wijzigt u het logboekniveau in debug:

org.slf4j.simpleLogger.defaultLogLevel=debug

De hulpbronnen opschonen

Wanneer u klaar bent met de quickstart, kunt u de resources verwijderen die u hebt gemaakt:

rm -rf voice-live-quickstart

Verwante inhoud

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