azure-communication-callautomation-java
Cloud, DevOps & SystèmesBuild call automation workflows with Azure Communication Services Call Automation Java SDK. Use when implementing IVR systems, call routing, call recording, DTMF recognition, text-to-speech, or AI-powered call flows.
Documentation
Azure Communication Call Automation (Java)
Build server-side call automation workflows including IVR systems, call routing, recording, and AI-powered interactions.
Installation
<dependency>
<groupId>com.azure</groupId>
<artifactId>azure-communication-callautomation</artifactId>
<version>1.6.0</version>
</dependency>Client Creation
import com.azure.communication.callautomation.CallAutomationClient;
import com.azure.communication.callautomation.CallAutomationClientBuilder;
import com.azure.identity.DefaultAzureCredentialBuilder;
// With DefaultAzureCredential
CallAutomationClient client = new CallAutomationClientBuilder()
.endpoint("https://<resource>.communication.azure.com")
.credential(new DefaultAzureCredentialBuilder().build())
.buildClient();
// With connection string
CallAutomationClient client = new CallAutomationClientBuilder()
.connectionString("<connection-string>")
.buildClient();Key Concepts
| Class | Purpose |
|-------|---------|
| CallAutomationClient | Make calls, answer/reject incoming calls, redirect calls |
| CallConnection | Actions in established calls (add participants, terminate) |
| CallMedia | Media operations (play audio, recognize DTMF/speech) |
| CallRecording | Start/stop/pause recording |
| CallAutomationEventParser | Parse webhook events from ACS |
Create Outbound Call
import com.azure.communication.callautomation.models.*;
import com.azure.communication.common.CommunicationUserIdentifier;
import com.azure.communication.common.PhoneNumberIdentifier;
// Call to PSTN number
PhoneNumberIdentifier target = new PhoneNumberIdentifier("+14255551234");
PhoneNumberIdentifier caller = new PhoneNumberIdentifier("+14255550100");
CreateCallOptions options = new CreateCallOptions(
new CommunicationUserIdentifier("<user-id>"), // Source
List.of(target)) // Targets
.setSourceCallerId(caller)
.setCallbackUrl("https://your-app.com/api/callbacks");
CreateCallResult result = client.createCall(options);
String callConnectionId = result.getCallConnectionProperties().getCallConnectionId();Answer Incoming Call
// From Event Grid webhook - IncomingCall event
String incomingCallContext = "<incoming-call-context-from-event>";
AnswerCallOptions options = new AnswerCallOptions(
incomingCallContext,
"https://your-app.com/api/callbacks");
AnswerCallResult result = client.answerCall(options);
CallConnection callConnection = result.getCallConnection();Play Audio (Text-to-Speech)
CallConnection callConnection = client.getCallConnection(callConnectionId);
CallMedia callMedia = callConnection.getCallMedia();
// Play text-to-speech
TextSource textSource = new TextSource()
.setText("Welcome to Contoso. Press 1 for sales, 2 for support.")
.setVoiceName("en-US-JennyNeural");
PlayOptions playOptions = new PlayOptions(
List.of(textSource),
List.of(new CommunicationUserIdentifier("<target-user>")));
callMedia.play(playOptions);
// Play audio file
FileSource fileSource = new FileSource()
.setUrl("https://storage.blob.core.windows.net/audio/greeting.wav");
callMedia.play(new PlayOptions(List.of(fileSource), List.of(target)));Recognize DTMF Input
// Recognize DTMF tones
DtmfTone stopTones = DtmfTone.POUND;
CallMediaRecognizeDtmfOptions recognizeOptions = new CallMediaRecognizeDtmfOptions(
new CommunicationUserIdentifier("<target-user>"),
5) // Max tones to collect
.setInterToneTimeout(Duration.ofSeconds(5))
.setStopTones(List.of(stopTones))
.setInitialSilenceTimeout(Duration.ofSeconds(15))
.setPlayPrompt(new TextSource().setText("Enter your account number followed by pound."));
callMedia.startRecognizing(recognizeOptions);Recognize Speech
// Speech recognition with AI
CallMediaRecognizeSpeechOptions speechOptions = new CallMediaRecognizeSpeechOptions(
new CommunicationUserIdentifier("<target-user>"))
.setEndSilenceTimeout(Duration.ofSeconds(2))
.setSpeechLanguage("en-US")
.setPlayPrompt(new TextSource().setText("How can I help you today?"));
callMedia.startRecognizing(speechOptions);Call Recording
CallRecording callRecording = client.getCallRecording();
// Start recording
StartRecordingOptions recordingOptions = new StartRecordingOptions(
new ServerCallLocator("<server-call-id>"))
.setRecordingChannel(RecordingChannel.MIXED)
.setRecordingContent(RecordingContent.AUDIO_VIDEO)
.setRecordingFormat(RecordingFormat.MP4);
RecordingStateResult recordingResult = callRecording.start(recordingOptions);
String recordingId = recordingResult.getRecordingId();
// Pause/resume/stop
callRecording.pause(recordingId);
callRecording.resume(recordingId);
callRecording.stop(recordingId);
// Download recording (after RecordingFileStatusUpdated event)
callRecording.downloadTo(recordingUrl, Paths.get("recording.mp4"));Add Participant to Call
CallConnection callConnection = client.getCallConnection(callConnectionId);
CommunicationUserIdentifier participant = new CommunicationUserIdentifier("<user-id>");
AddParticipantOptions addOptions = new AddParticipantOptions(participant)
.setInvitationTimeout(Duration.ofSeconds(30));
AddParticipantResult result = callConnection.addParticipant(addOptions);Transfer Call
// Blind transfer
PhoneNumberIdentifier transferTarget = new PhoneNumberIdentifier("+14255559999");
TransferCallToParticipantResult result = callConnection.transferCallToParticipant(transferTarget);Handle Events (Webhook)
import com.azure.communication.callautomation.CallAutomationEventParser;
import com.azure.communication.callautomation.models.events.*;
// In your webhook endpoint
public void handleCallback(String requestBody) {
List<CallAutomationEventBase> events = CallAutomationEventParser.parseEvents(requestBody);
for (CallAutomationEventBase event : events) {
if (event instanceof CallConnected) {
CallConnected connected = (CallConnected) event;
System.out.println("Call connected: " + connected.getCallConnectionId());
} else if (event instanceof RecognizeCompleted) {
RecognizeCompleted recognized = (RecognizeCompleted) event;
// Handle DTMF or speech recognition result
DtmfResult dtmfResult = (DtmfResult) recognized.getRecognizeResult();
String tones = dtmfResult.getTones().stream()
.map(DtmfTone::toString)
.collect(Collectors.joining());
System.out.println("DTMF received: " + tones);
} else if (event instanceof PlayCompleted) {
System.out.println("Audio playback completed");
} else if (event instanceof CallDisconnected) {
System.out.println("Call ended");
}
}
}Hang Up Call
// Hang up for all participants
callConnection.hangUp(true);
// Hang up only this leg
callConnection.hangUp(false);Error Handling
import com.azure.core.exception.HttpResponseException;
try {
client.answerCall(options);
} catch (HttpResponseException e) {
if (e.getResponse().getStatusCode() == 404) {
System.out.println("Call not found or already ended");
} else if (e.getResponse().getStatusCode() == 400) {
System.out.println("Invalid request: " + e.getMessage());
}
}Environment Variables
AZURE_COMMUNICATION_ENDPOINT=https://<resource>.communication.azure.com
AZURE_COMMUNICATION_CONNECTION_STRING=endpoint=https://...;accesskey=...
CALLBACK_BASE_URL=https://your-app.com/api/callbacksTrigger Phrases
Compétences similaires
Explorez d'autres agents de la catégorie Cloud, DevOps & Systèmes
azd-deployment
Deploy containerized applications to Azure Container Apps using Azure Developer CLI (azd). Use when setting up azd projects, writing azure.yaml configuration, creating Bicep infrastructure for Container Apps, configuring remote builds with ACR, implementing idempotent deployments, managing environment variables across local/.azure/Bicep, or troubleshooting azd up failures. Triggers on requests for azd configuration, Container Apps deployment, multi-service deployments, and infrastructure-as-code with Bicep.
azure-servicebus-ts
Build messaging applications using Azure Service Bus SDK for JavaScript (@azure/service-bus). Use when implementing queues, topics/subscriptions, message sessions, dead-letter handling, or enterprise messaging patterns.
azure-ai-contentsafety-java
Build content moderation applications with Azure AI Content Safety SDK for Java. Use when implementing text/image analysis, blocklist management, or harm detection for hate, violence, sexual content, and self-harm.