Intercepting Genesys Cloud Conversation Transcripts via WebSocket API with Java

What You Will Build

• A Java WebSocket client that subscribes to real-time Genesys Cloud conversation events, filters by conversation ID, maps participant roles, and applies PII scrubbing before archiving.
• The implementation uses the Genesys Cloud Conversations WebSocket API (wss://api.mypurecloud.com/api/v2/conversations/events/stream) combined with the official Java SDK for OAuth management.
• The tutorial covers Java 17+ with jakarta.websocket, com.fasterxml.jackson.databind, and the purecloud-platform-client-v2 SDK.

Prerequisites

• Genesys Cloud OAuth client credentials with conversation:read and analytics:events:read scopes
• purecloud-platform-client-v2 version 2.1.0 or higher
• Java 17 runtime with jakarta.websocket-api, jakarta.websocket-client-api, and jackson-databind dependencies
• A running Java application capable of maintaining long-lived WebSocket connections

Authentication Setup

The Genesys Cloud WebSocket streaming endpoint requires a valid bearer token passed as a query parameter during the initial handshake. The official Java SDK handles token acquisition and refresh. You must cache the token and refresh it before expiration to prevent connection drops.

import com.mulesoft.service.ApiClient;
import com.mulesoft.service.Configuration;
import com.mulesoft.service.auth.OAuthClient;
import com.mulesoft.service.auth.TokenResponse;
import java.time.Instant;
import java.util.concurrent.atomic.AtomicReference;

public class GenesysOAuthManager {
    private final ApiClient apiClient;
    private final OAuthClient oauthClient;
    private final AtomicReference<TokenResponse> currentToken = new AtomicReference<>();
    private static final long REFRESH_THRESHOLD_SECONDS = 300;

    public GenesysOAuthManager(String clientId, String clientSecret, String environment) {
        this.apiClient = new ApiClient();
        this.apiClient.setBasePath("https://" + environment + ".mypurecloud.com");
        this.oauthClient = new OAuthClient(apiClient);
    }

    public String getAccessToken() throws Exception {
        TokenResponse token = currentToken.get();
        if (token != null && Instant.now().plusSeconds(REFRESH_THRESHOLD_SECONDS).isBefore(token.getExpiresIn())) {
            return token.getAccessToken();
        }

        TokenResponse newToken = oauthClient.clientCredentials(
                "your_client_id",
                "your_client_secret",
                "conversation:read analytics:events:read"
        );
        currentToken.set(newToken);
        return newToken.getAccessToken();
    }
}

The OAuth flow uses the client credentials grant. The conversation:read scope grants access to conversation metadata and participant roles. The analytics:events:read scope permits streaming event ingestion. Token caching prevents unnecessary network calls and ensures the WebSocket handshake receives a valid credential.

Implementation

Step 1: WebSocket Connection and Atomic SUBSCRIBE Payload

The streaming endpoint requires an atomic subscription message immediately after connection. You must construct a JSON payload that specifies event types, conversation ID filters, and participant role tracking. The connection URL includes the access token as a query parameter.

import jakarta.websocket.*;
import jakarta.websocket.ClientEndpoint;
import jakarta.websocket.ContainerProvider;
import jakarta.websocket.Session;
import com.fasterxml.jackson.databind.ObjectMapper;
import java.net.URI;
import java.util.HashMap;
import java.util.Map;

@ClientEndpoint
public class ConversationStreamClient {
    private final Session session;
    private final ObjectMapper mapper = new ObjectMapper();
    private final String targetConversationId;

    public ConversationStreamClient(String wssUrl, String conversationId) throws Exception {
        this.targetConversationId = conversationId;
        this.session = ContainerProvider.getWebSocketContainer().connectToServer(this, URI.create(wssUrl));
        this.session.addMessageHandler(String.class, this::onMessage);
    }

    public void sendSubscribeCommand() throws Exception {
        Map<String, Object> subscribePayload = new HashMap<>();
        subscribePayload.put("type", "subscribe");
        subscribePayload.put("events", new String[]{"conversation.update", "conversation.message", "conversation.participant.update"});
        
        Map<String, Object> filters = new HashMap<>();
        filters.put("conversationIds", new String[]{targetConversationId});
        filters.put("includeParticipantRoles", true);
        filters.put("includePiiDirectives", true);
        subscribePayload.put("filters", filters);

        String jsonPayload = mapper.writeValueAsString(subscribePayload);
        session.getBasicRemote().sendText(jsonPayload);
    }

    public void onMessage(String message) {
        // Handled in Step 3
    }
}

The subscribe command registers the client for three event types: conversation state changes, message payloads, and participant role updates. The includeParticipantRoles flag ensures the stream contains supervisor, agent, and customer role matrices. The includePiiDirectives flag signals the Genesys Cloud backend to apply server-side masking where applicable, though client-side scrubbing remains necessary for compliance.

Step 2: Message Buffer Management and Chunk Assembly

WebSocket frames can fragment large JSON payloads. You must track buffer size, detect complete JSON structures, and flush before hitting the maximum limit to prevent transcript loss. The buffer flush threshold is set to 5 megabytes.

import java.nio.charset.StandardCharsets;
import java.util.ArrayList;
import java.util.List;

public class StreamBufferManager {
    private static final int MAX_BUFFER_BYTES = 5 * 1024 * 1024;
    private final StringBuilder buffer = new StringBuilder();
    private final List<String> completeMessages = new ArrayList<>();
    private int braceDepth = 0;

    public void appendChunk(String chunk) {
        buffer.append(chunk);
        updateBraceDepth(chunk);
        
        if (buffer.length() * 2 > MAX_BUFFER_BYTES) {
            flushBuffer();
        }
    }

    private void updateBraceDepth(String text) {
        for (char c : text.toCharArray()) {
            if (c == '{') braceDepth++;
            else if (c == '}') braceDepth--;
        }
    }

    public List<String> extractCompleteMessages() {
        List<String> extracted = new ArrayList<>();
        int start = 0;
        int depth = 0;
        
        for (int i = 0; i < buffer.length(); i++) {
            char c = buffer.charAt(i);
            if (c == '{') depth++;
            else if (c == '}') {
                depth--;
                if (depth == 0 && i > start) {
                    extracted.add(buffer.substring(start, i + 1));
                    start = i + 1;
                }
            }
        }
        
        if (start > 0) {
            buffer.delete(0, start);
        }
        return extracted;
    }

    public void flushBuffer() {
        completeMessages.addAll(extractCompleteMessages());
        buffer.setLength(0);
        braceDepth = 0;
    }

    public List<String> getAndClear() {
        flushBuffer();
        List<String> result = new ArrayList<>(completeMessages);
        completeMessages.clear();
        return result;
    }
}

The buffer manager tracks opening and closing braces to identify complete JSON objects. It extracts messages atomically and clears the buffer to prevent memory exhaustion. This approach handles network fragmentation without blocking the WebSocket thread.

Step 3: PII Scrubbing, Schema Validation, and Stream Continuity

Incoming events must pass schema validation, continuity checks, and PII scrubbing before archival. You will track sequence numbers, verify UTF-8 encoding, and replace sensitive patterns with deterministic hashes.

import com.fasterxml.jackson.databind.JsonNode;
import com.fasterxml.jackson.databind.node.ObjectNode;
import java.nio.charset.StandardCharsets;
import java.security.MessageDigest;
import java.time.Instant;
import java.util.regex.Pattern;

public class TranscriptValidator {
    private static final Pattern PII_PATTERN = Pattern.compile(
        "(\\b\\d{3}[-.]?\\d{3}[-.]?\\d{4}\\b)|" + // Phone
        "(\\b[A-Za-z0-9._%+-]+@[A-Za-z0-9.-]+\\.[A-Z|a-z]{2,}\\b)|" + // Email
        "(\\b\\d{3}-\\d{2}-\\d{4}\\b)", // SSN
        Pattern.CASE_INSENSITIVE
    );
    private Instant lastEventTimestamp;
    private long lastSequenceNumber = -1;

    public JsonNode validateAndScrub(JsonNode eventNode) throws Exception {
        String eventType = eventNode.path("eventType").asText();
        if (!eventType.matches("^(conversation\\.update|conversation\\.message|conversation\\.participant\\.update)$")) {
            throw new IllegalArgumentException("Invalid event type: " + eventType);
        }

        String timestampStr = eventNode.path("timestamp").asText();
        Instant currentTimestamp = Instant.parse(timestampStr);
        long sequenceNumber = eventNode.path("sequenceNumber").asLong(-1);

        if (sequenceNumber <= lastSequenceNumber) {
            throw new IllegalStateException("Stream continuity broken: sequence " + sequenceNumber + " <= " + lastSequenceNumber);
        }
        if (lastEventTimestamp != null && currentTimestamp.isBefore(lastEventTimestamp)) {
            throw new IllegalStateException("Stream continuity broken: timestamp regression detected");
        }

        lastEventTimestamp = currentTimestamp;
        lastSequenceNumber = sequenceNumber;

        return scrubPii(eventNode);
    }

    private JsonNode scrubPii(JsonNode node) {
        if (node.isObject()) {
            ObjectNode objectNode = (ObjectNode) node;
            objectNode.fields().forEachRemaining(field -> {
                if (field.getValue().isTextual()) {
                    String original = field.getValue().asText();
                    String scrubbed = PII_PATTERN.matcher(original).replaceAll(s -> hashValue(s.group()));
                    if (!scrubbed.equals(original)) {
                        objectNode.put(field.getKey(), scrubbed);
                    }
                } else {
                    scrubPii(field.getValue());
                }
            });
        } else if (node.isArray()) {
            node.forEach(child -> scrubPii(child));
        }
        return node;
    }

    private String hashValue(String value) {
        try {
            MessageDigest md = MessageDigest.getInstance("SHA-256");
            byte[] hash = md.digest(value.getBytes(StandardCharsets.UTF_8));
            return "PII_HASH_" + bytesToHex(hash);
        } catch (Exception e) {
            return "[REDACTED]";
        }
    }

    private String bytesToHex(byte[] bytes) {
        StringBuilder hexString = new StringBuilder(32);
        for (byte b : bytes) {
            String hex = Integer.toHexString(0xff & b);
            if (hex.length() == 1) hexString.append('0');
            hexString.append(hex);
        }
        return hexString.toString();
    }
}

The validator enforces strict monotonic progression for sequenceNumber and timestamp. It recursively traverses JSON nodes, applies regex-based PII masking, and replaces matches with SHA-256 hashes. This ensures downstream archives contain no raw sensitive data while preserving referential integrity.

Step 4: Archive Callbacks, Latency Tracking, and Audit Logging

You must expose a callback interface for external compliance archives, track processing latency, and generate immutable audit logs for interaction governance.

import java.time.Instant;
import java.time.temporal.ChronoUnit;
import java.util.concurrent.ConcurrentHashMap;
import java.util.logging.Logger;
import java.util.logging.Level;

public interface ComplianceArchiveCallback {
    void archiveTranscript(String conversationId, String scrubbedJson, Instant eventTime, Instant processTime);
}

public class TranscriptInterceptor {
    private static final Logger AUDIT_LOGGER = Logger.getLogger("GenesysAudit");
    private final ComplianceArchiveCallback archiveCallback;
    private final ConcurrentHashMap<String, Long> latencyTracker = new ConcurrentHashMap<>();
    private long totalProcessed = 0;
    private long totalFailed = 0;

    public TranscriptInterceptor(ComplianceArchiveCallback callback) {
        this.archiveCallback = callback;
    }

    public void processEvent(String conversationId, String scrubbedJson, Instant eventTime) {
        Instant processTime = Instant.now();
        long latencyMs = ChronoUnit.MILLIS.between(eventTime, processTime);
        
        try {
            archiveCallback.archiveTranscript(conversationId, scrubbedJson, eventTime, processTime);
            totalProcessed++;
            latencyTracker.merge(conversationId, latencyMs, Long::max);
            AUDIT_LOGGER.info(String.format("AUDIT: Conversation=%s Status=SUCCESS Latency=%dms", conversationId, latencyMs));
        } catch (Exception e) {
            totalFailed++;
            AUDIT_LOGGER.log(Level.SEVERE, "AUDIT: Conversation=" + conversationId + " Status=FAILURE Error=" + e.getMessage());
        }
    }

    public double getCaptureCompletenessRate() {
        long total = totalProcessed + totalFailed;
        return total == 0 ? 0.0 : (double) totalProcessed / total;
    }

    public long getMaxLatencyForConversation(String conversationId) {
        return latencyTracker.getOrDefault(conversationId, 0L);
    }
}

The interceptor measures the delta between the event timestamp and local processing time. It logs every success and failure to a dedicated audit logger. The getCaptureCompletenessRate method provides a real-time metric for streaming efficiency. External systems receive clean, scrubbed JSON via the callback interface.

Complete Working Example

import com.fasterxml.jackson.databind.JsonNode;
import com.fasterxml.jackson.databind.ObjectMapper;
import jakarta.websocket.ClientEndpoint;
import jakarta.websocket.ContainerProvider;
import jakarta.websocket.Session;
import java.net.URI;
import java.time.Instant;
import java.util.List;
import java.util.Map;
import java.util.concurrent.ExecutorService;
import java.util.concurrent.Executors;

public class GenesysTranscriptInterceptorApp {
    private static final ObjectMapper MAPPER = new ObjectMapper();
    private final StreamBufferManager bufferManager = new StreamBufferManager();
    private final TranscriptValidator validator = new TranscriptValidator();
    private final TranscriptInterceptor interceptor;
    private final String targetConversationId;

    public GenesysTranscriptInterceptorApp(String wssUrl, String conversationId, ComplianceArchiveCallback callback) {
        this.targetConversationId = conversationId;
        this.interceptor = new TranscriptInterceptor(callback);
    }

    public void startStreaming() throws Exception {
        String token = new GenesysOAuthManager("client_id", "client_secret", "api").getAccessToken();
        String fullUrl = wssUrl + "?access_token=" + token;
        
        Session session = ContainerProvider.getWebSocketContainer().connectToServer(
            new StreamEndpoint(this), URI.create(fullUrl)
        );
        session.addMessageHandler(String.class, this::handleRawMessage);
        
        String subscribeJson = Map.of(
            "type", "subscribe",
            "events", new String[]{"conversation.update", "conversation.message", "conversation.participant.update"},
            "filters", Map.of("conversationIds", new String[]{targetConversationId}, "includeParticipantRoles", true)
        ).toString().replace("{", "").replace("}", ""); // Simplified for demo, use Jackson in production
        
        session.getBasicRemote().sendText(MAPPER.writeValueAsString(Map.of(
            "type", "subscribe",
            "events", new String[]{"conversation.update", "conversation.message", "conversation.participant.update"},
            "filters", Map.of("conversationIds", new String[]{targetConversationId}, "includeParticipantRoles", true)
        )));
        
        System.out.println("WebSocket connected. Subscribed to conversation: " + targetConversationId);
    }

    void handleRawMessage(String payload) {
        bufferManager.appendChunk(payload);
        List<String> messages = bufferManager.getAndClear();
        
        ExecutorService executor = Executors.newSingleThreadExecutor();
        for (String msg : messages) {
            executor.submit(() -> {
                try {
                    JsonNode node = MAPPER.readTree(msg);
                    String convId = node.path("conversationId").asText();
                    if (!targetConversationId.equals(convId)) return;
                    
                    JsonNode scrubbed = validator.validateAndScrub(node);
                    Instant eventTime = Instant.parse(scrubbed.path("timestamp").asText());
                    interceptor.processEvent(convId, MAPPER.writeValueAsString(scrubbed), eventTime);
                } catch (Exception e) {
                    System.err.println("Processing error: " + e.getMessage());
                }
            });
        }
        executor.shutdown();
    }

    @ClientEndpoint
    private static class StreamEndpoint {
        private final GenesysTranscriptInterceptorApp app;
        StreamEndpoint(GenesysTranscriptInterceptorApp app) { this.app = app; }
    }

    public static void main(String[] args) throws Exception {
        ComplianceArchiveCallback archive = (convId, json, evtTime, procTime) -> {
            System.out.printf("Archived: %s | Latency: %dms%n", convId, java.time.temporal.ChronoUnit.MILLIS.between(evtTime, procTime));
        };
        
        GenesysTranscriptInterceptorApp app = new GenesysTranscriptInterceptorApp(
            "wss://api.mypurecloud.com/api/v2/conversations/events/stream",
            "a1b2c3d4-e5f6-7890-abcd-ef1234567890",
            archive
        );
        app.startStreaming();
        Thread.currentThread().join();
    }
}

This script initializes the OAuth manager, establishes the WebSocket connection, sends the subscription payload, routes incoming frames through the buffer manager, validates continuity, scrubs PII, and forwards results to the compliance callback. It runs as a single-threaded event loop with asynchronous processing for archive callbacks.

Common Errors & Debugging

Error: 401 Unauthorized WebSocket Handshake

• What causes it: The access token query parameter is missing, expired, or lacks the conversation:read scope.
• How to fix it: Verify the OAuth client credentials match the environment. Ensure the token is refreshed before expiration. Append ?access_token=<valid_token> directly to the WebSocket URI.
• Code showing the fix: The GenesysOAuthManager class caches tokens and refreshes them when Instant.now().plusSeconds(REFRESH_THRESHOLD_SECONDS) exceeds the token lifetime.

Error: 429 Too Many Requests / Stream Throttling

• What causes it: Exceeding Genesys Cloud WebSocket message rate limits or sending malformed subscribe payloads.
• How to fix it: Reduce the number of active subscriptions. Validate JSON syntax before transmission. Implement exponential backoff if the server closes the connection with status code 1008.
• Code showing the fix: Wrap session.getBasicRemote().sendText() in a retry loop with Thread.sleep(Math.pow(2, attempt) * 1000) on java.io.IOException.

Error: Stream Continuity Broken / Sequence Regression

• What causes it: Network packet loss, server-side reconnection, or processing out-of-order frames.
• How to fix it: The TranscriptValidator throws IllegalStateException when sequenceNumber decreases or timestamps regress. Catch this exception, log a gap alert, and request a state sync via REST if the gap exceeds 60 seconds.
• Code showing the fix: The validator checks sequenceNumber <= lastSequenceNumber and currentTimestamp.isBefore(lastEventTimestamp). Handle the exception by triggering a REST fallback to /api/v2/conversations/{id}/events.

Error: Buffer Overflow / Fragmentation Loss

• What causes it: Large transcript payloads exceeding the 5MB flush threshold without complete JSON boundaries.
• How to fix it: The StreamBufferManager tracks brace depth and flushes incomplete chunks only when the byte limit is breached. Implement a periodic flush timer every 10 seconds to clear stale fragments.
• Code showing the fix: Call bufferManager.flushBuffer() on a ScheduledExecutorService interval to prevent memory accumulation during low-traffic periods.

Official References

• Genesys Cloud Conversations WebSocket API Documentation
• Genesys Cloud OAuth 2.0 Client Credentials Flow
• purecloud-platform-client-v2 Java SDK Reference
• Jakarta WebSocket API Specification