Annotating Genesys Cloud Voice Recordings with Java via REST API
What You Will Build
A production-grade Java service that creates and updates Genesys Cloud recording annotations with validated tag matrices and metadata directives, executes atomic PATCH operations with automatic search index triggers, registers outbound webhooks for QA platform synchronization, and generates timestamped compliance audit logs. This tutorial uses the official Genesys Cloud Java SDK and REST API. It covers Java 17 with Maven dependencies.
Prerequisites
- OAuth Client Credentials flow with scopes:
recording:annotation:write,recording:annotation:read,webhook:write - Genesys Cloud Java SDK version 13.0.0 or higher (
com.mypurecloud.api.client) - Java 17 runtime environment
- Maven dependencies:
com.google.code.gson:gson:2.10.1,org.slf4j:slf4j-api:2.0.9 - Active Genesys Cloud organization with recording retention enabled
Authentication Setup
The Genesys Cloud Java SDK handles OAuth2 token acquisition and automatic refresh. You must configure DefaultApiFactory with OAuth2ClientCredentials. The SDK caches the access token in memory and requests a new one before expiration.
import com.mypurecloud.api.client.ApiException;
import com.mypurecloud.api.client.auth.OAuth2ClientCredentials;
import com.mypurecloud.api.client.DefaultApiFactory;
import com.mypurecloud.api.client.Configuration;
public class GenesysAuth {
public static DefaultApiFactory initApiFactory(String clientId, String clientSecret, String basePath) throws ApiException {
OAuth2ClientCredentials auth = new OAuth2ClientCredentials();
auth.setClientId(clientId);
auth.setClientSecret(clientSecret);
auth.setBasePath(basePath);
auth.setScopes(List.of(
"recording:annotation:write",
"recording:annotation:read",
"webhook:write"
));
Configuration config = new Configuration();
config.setBasePath(basePath);
config.setAuth(auth);
return new DefaultApiFactory(config);
}
}
Implementation
Step 1: Construct and Validate Annotation Payloads
Genesys Cloud enforces strict schema constraints on annotation payloads. The platform rejects requests exceeding 100 tags, metadata keys over 100, or metadata values exceeding 255 characters. Invalid payloads cause indexing failures and return HTTP 400. You must validate inputs before transmission.
import com.mypurecloud.api.client.model.RecordingAnnotationCreateRequest;
import java.util.Map;
import java.util.Set;
import java.util.regex.Pattern;
public class AnnotationValidator {
private static final int MAX_TAGS = 100;
private static final int MAX_METADATA_KEYS = 100;
private static final int MAX_METADATA_VALUE_LENGTH = 255;
private static final Pattern UUID_PATTERN = Pattern.compile("^[0-9a-fA-F]{8}-[0-9a-fA-F]{4}-[0-9a-fA-F]{4}-[0-9a-fA-F]{4}-[0-9a-fA-F]{12}$");
public static void validatePayload(String recordingId, Set<String> tags, Map<String, String> metadata) {
if (!UUID_PATTERN.matcher(recordingId).matches()) {
throw new IllegalArgumentException("Invalid recordingId format. Must be a valid UUID.");
}
if (tags.size() > MAX_TAGS) {
throw new IllegalArgumentException(String.format("Tag count %d exceeds maximum limit of %d.", tags.size(), MAX_TAGS));
}
if (metadata.size() > MAX_METADATA_KEYS) {
throw new IllegalArgumentException(String.format("Metadata key count %d exceeds maximum limit of %d.", metadata.size(), MAX_METADATA_KEYS));
}
for (Map.Entry<String, String> entry : metadata.entrySet()) {
if (entry.getValue().length() > MAX_METADATA_VALUE_LENGTH) {
throw new IllegalArgumentException(String.format("Metadata value for key '%s' exceeds 255 character limit.", entry.getKey()));
}
}
}
}
Step 2: Execute Atomic PATCH Operations with Retry and Latency Tracking
The POST /api/v2/recording/annotations endpoint creates annotations. The PATCH /api/v2/recording/annotations/{id} endpoint updates them. Both operations trigger automatic search index updates. You must implement exponential backoff for HTTP 429 rate limits and track request latency for performance monitoring.
HTTP Request/Response Cycle for POST:
POST /api/v2/recording/annotations
Authorization: Bearer eyJ0eXAiOiJKV1QiLCJhbGciOiJSUzI1NiJ9...
Content-Type: application/json
Accept: application/json
{
"recordingId": "a1b2c3d4-e5f6-7890-abcd-ef1234567890",
"annotationType": "custom",
"text": "QA review required for compliance check",
"tags": ["compliance", "escalation", "supervisor-review"],
"metadata": {
"qa_score": "85",
"agent_id": "emp-98765",
"review_status": "pending"
}
}
HTTP/1.1 201 Created
Content-Type: application/json
Location: /api/v2/recording/annotations/ann-987654321
{
"id": "ann-987654321",
"recordingId": "a1b2c3d4-e5f6-7890-abcd-ef1234567890",
"annotationType": "custom",
"text": "QA review required for compliance check",
"tags": ["compliance", "escalation", "supervisor-review"],
"metadata": {
"qa_score": "85",
"agent_id": "emp-98765",
"review_status": "pending"
},
"createdBy": { "id": "client-uuid" },
"createdTime": "2024-05-15T10:30:00.000Z",
"lastModifiedTime": "2024-05-15T10:30:00.000Z"
}
import com.mypurecloud.api.client.api.RecordingApi;
import com.mypurecloud.api.client.model.RecordingAnnotation;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import java.util.concurrent.TimeUnit;
public class RecordingAnnotator {
private static final Logger logger = LoggerFactory.getLogger(RecordingAnnotator.class);
private final RecordingApi recordingApi;
private static final int MAX_RETRIES = 3;
private static final long INITIAL_BACKOFF_MS = 500;
public RecordingAnnotator(RecordingApi api) {
this.recordingApi = api;
}
public RecordingAnnotation createAnnotation(RecordingAnnotationCreateRequest payload) throws Exception {
long startTime = System.nanoTime();
int attempt = 0;
Exception lastException = null;
while (attempt < MAX_RETRIES) {
try {
RecordingAnnotation result = recordingApi.createRecordingAnnotation(payload);
long latencyMs = TimeUnit.NANOSECONDS.toMillis(System.nanoTime() - startTime);
logger.info("Annotation created successfully. Latency: {}ms", latencyMs);
logAudit("CREATE", payload.getRecordingId(), result.getId(), 201, latencyMs, true);
return result;
} catch (ApiException e) {
lastException = e;
if (e.getCode() == 429) {
long backoff = INITIAL_BACKOFF_MS * (long) Math.pow(2, attempt);
logger.warn("Rate limited (429). Retrying in {}ms", backoff);
TimeUnit.MILLISECONDS.sleep(backoff);
attempt++;
} else {
logAudit("CREATE", payload.getRecordingId(), null, e.getCode(), 0, false);
throw e;
}
}
}
throw new RuntimeException("Max retries exceeded for annotation creation", lastException);
}
}
Step 3: Synchronize Annotation Events via Webhook Callbacks
Genesys Cloud emits recording.annotation.created and recording.annotation.updated events. You register an outbound webhook to push these events to an external QA platform. The webhook payload contains the full annotation object and metadata.
import com.mypurecloud.api.client.api.WebhookApi;
import com.mypurecloud.api.client.model.WebhookCreateRequest;
import com.mypurecloud.api.client.model.Webhook;
import com.google.gson.Gson;
import com.google.gson.JsonObject;
import java.util.List;
public class WebhookSyncManager {
private final WebhookApi webhookApi;
private final Gson gson;
public WebhookSyncManager(WebhookApi api) {
this.webhookApi = api;
this.gson = new Gson();
}
public Webhook registerQaWebhook(String callbackUrl) throws ApiException {
WebhookCreateRequest request = new WebhookCreateRequest();
request.setName("QA-Platform-Annotation-Sync");
request.setCallbackUrl(callbackUrl);
request.setEvents(List.of("recording.annotation.created", "recording.annotation.updated"));
request.setActive(true);
request.setVersion("v2");
Webhook webhook = webhookApi.createWebhook(request);
logger.info("Webhook registered successfully. ID: {}", webhook.getId());
return webhook;
}
public void processCallbackPayload(String rawPayload) {
JsonObject json = gson.fromJson(rawPayload, JsonObject.class);
String eventType = json.get("event").getAsString();
JsonObject data = json.getAsJsonObject("data");
String annotationId = data.has("id") ? data.get("id").getAsString() : "unknown";
logger.info("Received webhook event: {} for annotation: {}", eventType, annotationId);
// Forward to QA platform logic here
}
}
Step 4: Generate Compliance Audit Logs
You must track every annotation operation for governance. The audit log records the action type, recording ID, annotation ID, HTTP status, latency, and index update success flag. You serialize this to JSON for downstream compliance pipelines.
import com.google.gson.Gson;
import java.time.Instant;
import java.util.LinkedHashMap;
import java.util.Map;
public class AuditLogger {
private final Gson gson;
public AuditLogger() {
this.gson = new Gson();
}
public void logAudit(String action, String recordingId, String annotationId, int httpStatus, long latencyMs, boolean indexUpdated) {
Map<String, Object> auditEntry = new LinkedHashMap<>();
auditEntry.put("timestamp", Instant.now().toString());
auditEntry.put("action", action);
auditEntry.put("recordingId", recordingId);
auditEntry.put("annotationId", annotationId);
auditEntry.put("httpStatus", httpStatus);
auditEntry.put("latencyMs", latencyMs);
auditEntry.put("indexUpdated", indexUpdated);
String jsonLog = gson.toJson(auditEntry);
System.out.println("[AUDIT] " + jsonLog);
// Write to persistent storage (S3, database, or file system)
}
}
Complete Working Example
The following module combines authentication, validation, annotation creation, webhook registration, and audit logging into a single executable class. Replace placeholder credentials before execution.
import com.mypurecloud.api.client.ApiException;
import com.mypurecloud.api.client.DefaultApiFactory;
import com.mypurecloud.api.client.api.RecordingApi;
import com.mypurecloud.api.client.api.WebhookApi;
import com.mypurecloud.api.client.model.RecordingAnnotationCreateRequest;
import com.mypurecloud.api.client.model.RecordingAnnotation;
import com.mypurecloud.api.client.model.Webhook;
import java.util.List;
import java.util.Map;
import java.util.Set;
public class RecordingAnnotationService {
public static void main(String[] args) {
String clientId = "YOUR_CLIENT_ID";
String clientSecret = "YOUR_CLIENT_SECRET";
String basePath = "https://api.mypurecloud.com";
String qaWebhookUrl = "https://your-qa-platform.example.com/api/webhooks/genesys/annotations";
try {
DefaultApiFactory factory = GenesysAuth.initApiFactory(clientId, clientSecret, basePath);
RecordingApi recordingApi = new RecordingApi(factory);
WebhookApi webhookApi = new WebhookApi(factory);
RecordingAnnotator annotator = new RecordingAnnotator(recordingApi);
WebhookSyncManager webhookManager = new WebhookSyncManager(webhookApi);
AuditLogger auditLogger = new AuditLogger();
// Step 1: Validate payload constraints
String recordingId = "a1b2c3d4-e5f6-7890-abcd-ef1234567890";
Set<String> tags = Set.of("compliance", "escalation", "supervisor-review");
Map<String, String> metadata = Map.of(
"qa_score", "85",
"agent_id", "emp-98765",
"review_status", "pending"
);
AnnotationValidator.validatePayload(recordingId, tags, metadata);
// Step 2: Construct annotation request
RecordingAnnotationCreateRequest request = new RecordingAnnotationCreateRequest();
request.setRecordingId(recordingId);
request.setAnnotationType("custom");
request.setText("QA review required for compliance check");
request.setTags(tags);
request.setMetadata(metadata);
// Step 3: Create annotation with retry and latency tracking
RecordingAnnotation created = annotator.createAnnotation(request);
System.out.println("Successfully created annotation: " + created.getId());
// Step 4: Register webhook for QA synchronization
Webhook webhook = webhookManager.registerQaWebhook(qaWebhookUrl);
System.out.println("Webhook active. ID: " + webhook.getId());
// Step 5: Simulate webhook callback processing
String mockCallback = "{\"event\":\"recording.annotation.created\",\"data\":{\"id\":\"" + created.getId() + "\"}}";
webhookManager.processCallbackPayload(mockCallback);
} catch (Exception e) {
System.err.println("Annotation service failed: " + e.getMessage());
e.printStackTrace();
}
}
}
Common Errors & Debugging
Error: HTTP 400 Bad Request
- Cause: Payload violates schema constraints. Common triggers include exceeding 100 tags, metadata values over 255 characters, or malformed UUIDs.
- Fix: Implement the
AnnotationValidatorclass before transmission. Verify that all metadata values are strings. Genesys Cloud does not accept nested objects or arrays in metadata fields. - Code Fix: Wrap the API call in a try-catch block and parse the
ApiExceptionmessage. The response body contains amessagefield detailing the exact validation failure.
Error: HTTP 401 Unauthorized or 403 Forbidden
- Cause: OAuth token expired, missing
recording:annotation:writescope, or client credentials lack permission to access the target recording. - Fix: Ensure the OAuth client credentials request includes
recording:annotation:write. Verify the client has access to the recording’s associated user or queue. Regenerate credentials if rotated. - Code Fix: The SDK throws
ApiExceptionwith code 401 or 403. Log the scope list from theOAuth2ClientCredentialsobject. ReinitializeDefaultApiFactoryif credentials change.
Error: HTTP 429 Too Many Requests
- Cause: Exceeded Genesys Cloud rate limits for the annotation endpoint. Limits vary by organization tier but typically cap at 100 requests per second for recording operations.
- Fix: Implement exponential backoff. The
RecordingAnnotatorclass includes a retry loop withMath.pow(2, attempt)backoff calculation. - Code Fix: Monitor the
Retry-Afterheader in the 429 response. AdjustINITIAL_BACKOFF_MSif cascading failures occur.
Error: HTTP 500 Internal Server Error (Indexing Failure)
- Cause: Background search index update failed due to media storage constraints or corrupted recording metadata.
- Fix: Verify the recording exists and is accessible via
GET /api/v2/recording/recordings/{id}. Check Genesys Cloud status page for platform incidents. Retry the operation after 60 seconds. - Code Fix: Log the failure with
indexUpdated: falsein the audit log. Implement a dead-letter queue for failed annotations for manual review.