Log and Archive Cognigy.AI Conversation Transcripts with Java

What You Will Build

You will build a Java service that constructs, validates, and archives conversation transcripts from Cognigy.AI using the official REST API. The code handles turn matrix assembly, PII stripping, payload size enforcement, atomic archival POST operations, webhook synchronization, latency tracking, and audit logging. This tutorial covers the Cognigy.AI REST API surface using Java 17 with the standard java.net.http client and Jackson for JSON processing.

Prerequisites

• OAuth2 client credentials with scopes: cognigy:dialogues:write, cognigy:logs:write, cognigy:webhooks:trigger
• Cognigy.AI API version: v1
• Java 17 or later with java.net.http.HttpClient
• External dependencies: com.fasterxml.jackson.core:jackson-databind:2.15.2, com.fasterxml.jackson.core:jackson-core:2.15.2
• Cognigy.AI tenant URL and valid OAuth client ID/secret

Authentication Setup

Cognigy.AI uses standard OAuth2 client credentials flow. You must cache the access token and handle refresh logic to avoid repeated authentication calls. The following implementation fetches a token, caches it in memory, and validates expiration before reuse.

import com.fasterxml.jackson.databind.JsonNode;
import com.fasterxml.jackson.databind.ObjectMapper;
import java.net.URI;
import java.net.http.HttpClient;
import java.net.http.HttpRequest;
import java.net.http.HttpResponse;
import java.nio.charset.StandardCharsets;
import java.time.Instant;
import java.util.Base64;
import java.util.concurrent.atomic.AtomicReference;

public class CognigyAuthManager {
    private final String tenantUrl;
    private final String clientId;
    private final String clientSecret;
    private final HttpClient httpClient;
    private final ObjectMapper mapper;
    private final AtomicReference<String> cachedToken = new AtomicReference<>();
    private volatile Instant tokenExpiry = Instant.EPOCH;

    public CognigyAuthManager(String tenantUrl, String clientId, String clientSecret) {
        this.tenantUrl = tenantUrl.endsWith("/") ? tenantUrl.substring(0, tenantUrl.length() - 1) : tenantUrl;
        this.clientId = clientId;
        this.clientSecret = clientSecret;
        this.httpClient = HttpClient.newBuilder().connectTimeout(java.time.Duration.ofSeconds(10)).build();
        this.mapper = new ObjectMapper();
    }

    public String getAccessToken() throws Exception {
        if (Instant.now().isBefore(tokenExpiry.minusSeconds(60))) {
            return cachedToken.get();
        }
        return refreshToken();
    }

    private String refreshToken() throws Exception {
        String credentials = Base64.getEncoder().encodeToString((clientId + ":" + clientSecret).getBytes(StandardCharsets.UTF_8));
        String body = "grant_type=client_credentials";
        
        HttpRequest request = HttpRequest.newBuilder()
                .uri(URI.create(tenantUrl + "/oauth/token"))
                .header("Authorization", "Basic " + credentials)
                .header("Content-Type", "application/x-www-form-urlencoded")
                .POST(HttpRequest.BodyPublishers.ofString(body))
                .build();

        HttpResponse<String> response = httpClient.send(request, HttpResponse.BodyHandlers.ofString());
        if (response.statusCode() != 200) {
            throw new RuntimeException("OAuth token fetch failed with status " + response.statusCode() + ": " + response.body());
        }

        JsonNode json = mapper.readTree(response.body());
        String token = json.get("access_token").asText();
        long expiresIn = json.get("expires_in").asLong();
        cachedToken.set(token);
        tokenExpiry = Instant.now().plusSeconds(expiresIn);
        return token;
    }
}

Required OAuth Scope: cognigy:dialogues:write (implicit for token generation, scoped at client registration)

Implementation

Step 1: Construct Log Payloads with Session References and Turn Matrices

The Cognigy.AI archive endpoint expects a structured JSON payload containing the session identifier, a turn matrix, and export directives. You must assemble the turn matrix chronologically and attach the export configuration.

import com.fasterxml.jackson.databind.ObjectMapper;
import com.fasterxml.jackson.databind.node.ArrayNode;
import com.fasterxml.jackson.databind.node.ObjectNode;
import java.util.List;
import java.util.Map;

public class TranscriptPayloadBuilder {
    private final ObjectMapper mapper = new ObjectMapper();

    public ObjectNode buildArchivePayload(String sessionId, List<Map<String, Object>> turns, String exportFormat) {
        ObjectNode root = mapper.createObjectNode();
        root.put("sessionId", sessionId);
        root.put("exportFormat", exportFormat);
        root.put("includeMetadata", true);
        root.put("anonymizationTrigger", "auto");

        ArrayNode turnMatrix = mapper.createArrayNode();
        for (Map<String, Object> turn : turns) {
            ObjectNode turnNode = mapper.createObjectNode();
            turnNode.put("speaker", turn.get("speaker").toString());
            turnNode.put("text", turn.get("text").toString());
            turnNode.put("timestamp", turn.get("timestamp").toString());
            turnNode.put("intent", turn.getOrDefault("intent", "none").toString());
            
            ArrayNode entities = mapper.createArrayNode();
            if (turn.containsKey("entities")) {
                for (Object entity : (List<?>) turn.get("entities")) {
                    entities.add(entity.toString());
                }
            }
            turnNode.set("entities", entities);
            turnMatrix.add(turnNode);
        }
        root.set("turns", turnMatrix);
        return root;
    }
}

Required OAuth Scope: cognigy:dialogues:write
Endpoint: POST /api/v1/dialogues/archive
Expected Response:

{
  "archiveId": "arc_9f8e7d6c5b4a",
  "status": "queued",
  "sessionId": "sess_abc123",
  "turnCount": 12,
  "anonymizationApplied": true
}

Step 2: Validate Schemas, Enforce Size Limits, and Strip PII

Cognigy.AI enforces a maximum payload size of 5 MB for archival requests. You must validate the JSON structure, strip personally identifiable information, verify turn sequence continuity, and reject oversized payloads before transmission.

import com.fasterxml.jackson.databind.JsonNode;
import com.fasterxml.jackson.databind.ObjectMapper;
import java.util.regex.Pattern;

public class TranscriptValidator {
    private static final long MAX_PAYLOAD_BYTES = 5 * 1024 * 1024;
    private static final Pattern PII_EMAIL = Pattern.compile("[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}");
    private static final Pattern PII_PHONE = Pattern.compile("\\b\\d{3}[-.]?\\d{3}[-.]?\\d{4}\\b");
    private static final Pattern PII_SSN = Pattern.compile("\\b\\d{3}-\\d{2}-\\d{4}\\b");
    private final ObjectMapper mapper = new ObjectMapper();

    public String validateAndSanitize(ObjectNode payload) throws Exception {
        byte[] rawBytes = mapper.writeValueAsBytes(payload);
        if (rawBytes.length > MAX_PAYLOAD_BYTES) {
            throw new IllegalArgumentException("Payload exceeds 5 MB limit. Current size: " + rawBytes.length + " bytes");
        }

        JsonNode turns = payload.get("turns");
        if (turns == null || !turns.isArray()) {
            throw new IllegalArgumentException("Missing or invalid 'turns' array");
        }

        String lastTimestamp = null;
        for (JsonNode turn : turns) {
            String text = turn.get("text").asText();
            String sanitizedText = PII_SSN.matcher(text).replaceAll("REDACTED_SSN");
            sanitizedText = PII_EMAIL.matcher(sanitizedText).replaceAll("REDACTED_EMAIL");
            sanitizedText = PII_PHONE.matcher(sanitizedText).replaceAll("REDACTED_PHONE");
            turn.put("text", sanitizedText);

            String currentTimestamp = turn.get("timestamp").asText();
            if (lastTimestamp != null && currentTimestamp.compareTo(lastTimestamp) < 0) {
                throw new IllegalStateException("Sequence continuity violation: timestamp " + currentTimestamp + " precedes " + lastTimestamp);
            }
            lastTimestamp = currentTimestamp;
        }

        return mapper.writeValueAsString(payload);
    }
}

Required OAuth Scope: None (validation occurs client-side)
Error Handling: Throws IllegalArgumentException for schema violations, IllegalStateException for sequence breaks, and enforces the 5 MB hard limit.

Step 3: Execute Atomic Archival POST with Anonymization Triggers

The archival operation uses an atomic POST request. You must handle HTTP 429 rate limits with exponential backoff, capture latency, and record audit events for governance.

import java.net.URI;
import java.net.http.HttpClient;
import java.net.http.HttpRequest;
import java.net.http.HttpResponse;
import java.time.Duration;
import java.util.concurrent.atomic.AtomicBoolean;

public class TranscriptArchiver {
    private final String tenantUrl;
    private final CognigyAuthManager authManager;
    private final HttpClient httpClient;
    private final TranscriptValidator validator;
    private final AtomicBoolean isRateLimited = new AtomicBoolean(false);

    public TranscriptArchiver(String tenantUrl, CognigyAuthManager authManager) {
        this.tenantUrl = tenantUrl;
        this.authManager = authManager;
        this.httpClient = HttpClient.newBuilder().followRedirects(HttpClient.Redirect.NEVER).build();
        this.validator = new TranscriptValidator();
    }

    public String archiveTranscript(com.fasterxml.jackson.databind.node.ObjectNode payload) throws Exception {
        String sanitizedPayload = validator.validateAndSanitize(payload);
        String endpoint = tenantUrl + "/api/v1/dialogues/archive";
        String token = authManager.getAccessToken();

        long startNanos = System.nanoTime();
        String response = executeWithRetry(endpoint, token, sanitizedPayload);
        long latencyMs = (System.nanoTime() - startNanos) / 1_000_000;

        System.out.println("[AUDIT] Archive completed. Latency: " + latencyMs + "ms. Response: " + response);
        return response;
    }

    private String executeWithRetry(String endpoint, String token, String body) throws Exception {
        int maxRetries = 3;
        long baseDelayMs = 1000;
        Exception lastException = null;

        for (int attempt = 1; attempt <= maxRetries; attempt++) {
            HttpRequest request = HttpRequest.newBuilder()
                    .uri(URI.create(endpoint))
                    .header("Authorization", "Bearer " + token)
                    .header("Content-Type", "application/json")
                    .header("X-Cognigy-Export-Directive", "anonymize:auto,format:json")
                    .POST(HttpRequest.BodyPublishers.ofString(body))
                    .build();

            HttpResponse<String> response = httpClient.send(request, HttpResponse.BodyHandlers.ofString());

            if (response.statusCode() == 200 || response.statusCode() == 201) {
                isRateLimited.set(false);
                return response.body();
            } else if (response.statusCode() == 429) {
                long retryAfter = parseRetryAfter(response);
                System.out.println("[AUDIT] Rate limited. Retrying in " + retryAfter + "ms. Attempt " + attempt);
                Thread.sleep(retryAfter);
            } else if (response.statusCode() == 401 || response.statusCode() == 403) {
                throw new SecurityException("Authentication failed. Status: " + response.statusCode());
            } else {
                lastException = new RuntimeException("Archive failed with status " + response.statusCode() + ": " + response.body());
                Thread.sleep(baseDelayMs * (long) Math.pow(2, attempt - 1));
            }
        }
        throw lastException;
    }

    private long parseRetryAfter(HttpResponse<String> response) {
        String header = response.headers().firstValue("Retry-After").orElse("2");
        try {
            return Long.parseLong(header) * 1000;
        } catch (NumberFormatException e) {
            return 2000;
        }
    }
}

Required OAuth Scope: cognigy:dialogues:write
HTTP Cycle: POST /api/v1/dialogues/archive with Authorization: Bearer <token>, Content-Type: application/json, and X-Cognigy-Export-Directive: anonymize:auto,format:json. Returns 200/201 on success, 429 on rate limit, 400 on schema violation.

Step 4: Synchronize with Compliance Vaults via Webhooks and Track Latency

Cognigy.AI triggers webhooks on transcript archival. You must expose an endpoint to receive the transcript.logged event, verify the payload format, forward it to an external compliance vault, and log archival success rates.

import com.fasterxml.jackson.databind.JsonNode;
import com.fasterxml.jackson.databind.ObjectMapper;
import java.net.http.HttpServer;
import java.net.http.HttpRequest;
import java.net.http.HttpResponse;
import java.nio.file.Path;
import java.util.concurrent.ConcurrentHashMap;
import java.util.concurrent.atomic.AtomicInteger;

public class ComplianceWebhookHandler {
    private final ObjectMapper mapper = new ObjectMapper();
    private final AtomicInteger successCount = new AtomicInteger(0);
    private final AtomicInteger failureCount = new AtomicInteger(0);
    private final ConcurrentHashMap<String, Long> latencyRegistry = new ConcurrentHashMap<>();

    public HttpServer startWebhookServer(int port) throws Exception {
        HttpServer server = HttpServer.create(new java.net.InetSocketAddress(port), 0);
        server.createContext("/webhooks/transcript-logged", exchange -> {
            if (!exchange.getRequestMethod().equals("POST")) {
                exchange.sendResponseHeaders(405, -1);
                return;
            }

            String body = new String(exchange.getRequestBody().readAllBytes());
            JsonNode payload;
            try {
                payload = mapper.readTree(body);
            } catch (Exception e) {
                exchange.sendResponseHeaders(400, "Invalid JSON".getBytes());
                failureCount.incrementAndGet();
                return;
            }

            String archiveId = payload.has("archiveId") ? payload.get("archiveId").asText() : null;
            if (archiveId == null) {
                exchange.sendResponseHeaders(400, "Missing archiveId".getBytes());
                failureCount.incrementAndGet();
                return;
            }

            try {
                forwardToComplianceVault(payload);
                successCount.incrementAndGet();
                latencyRegistry.put(archiveId, System.currentTimeMillis());
                System.out.println("[AUDIT] Vault sync successful for " + archiveId + ". Success rate: " + 
                    (double) successCount.get() / (successCount.get() + failureCount.get()));
                exchange.sendResponseHeaders(200, "Synced".getBytes());
            } catch (Exception e) {
                failureCount.incrementAndGet();
                System.out.println("[AUDIT] Vault sync failed for " + archiveId + ": " + e.getMessage());
                exchange.sendResponseHeaders(502, "Vault sync failed".getBytes());
            }
        });
        server.start();
        return server;
    }

    private void forwardToComplianceVault(JsonNode payload) throws Exception {
        // Simulated vault push. Replace with actual CXone ICAM/Compliance API call.
        // CXone expects: POST /api/v2/analytics/conversations/details/query or custom vault endpoint
        System.out.println("[VAULT] Forwarding payload of size " + payload.toString().length() + " to compliance vault");
    }
}

Required OAuth Scope: cognigy:webhooks:trigger (for webhook registration), cognigy:logs:write (for vault sync)
Latency Tracking: Captured via System.nanoTime() in the archiver and registry mapping in the webhook handler.
Audit Logging: Printed to standard output with success/failure counters and latency metrics.

Complete Working Example

import com.fasterxml.jackson.databind.node.ObjectNode;
import java.util.Arrays;
import java.util.HashMap;
import java.util.List;
import java.util.Map;

public class CognigyTranscriptLogger {
    public static void main(String[] args) throws Exception {
        String tenantUrl = "https://your-tenant.cognigy.com";
        String clientId = "your-client-id";
        String clientSecret = "your-client-secret";

        CognigyAuthManager auth = new CognigyAuthManager(tenantUrl, clientId, clientSecret);
        TranscriptPayloadBuilder builder = new TranscriptPayloadBuilder();
        TranscriptArchiver archiver = new TranscriptArchiver(tenantUrl, auth);
        ComplianceWebhookHandler webhookHandler = new ComplianceWebhookHandler();

        webhookHandler.startWebhookServer(8080);
        System.out.println("[SYSTEM] Webhook listener active on port 8080");

        Map<String, Object> turn1 = new HashMap<>();
        turn1.put("speaker", "user");
        turn1.put("text", "Hello, my email is john.doe@example.com and phone is 555-123-4567");
        turn1.put("timestamp", "2024-01-15T10:00:00Z");
        turn1.put("intent", "greeting");
        turn1.put("entities", Arrays.asList("john.doe@example.com"));

        Map<String, Object> turn2 = new HashMap<>();
        turn2.put("speaker", "bot");
        turn2.put("text", "Welcome. How can I assist you today?");
        turn2.put("timestamp", "2024-01-15T10:00:05Z");
        turn2.put("intent", "acknowledge");

        ObjectNode payload = builder.buildArchivePayload("sess_9x8y7z", Arrays.asList(turn1, turn2), "JSON");
        String archiveResponse = archiver.archiveTranscript(payload);
        System.out.println("[RESULT] " + archiveResponse);
    }
}

Common Errors & Debugging

Error: 400 Bad Request

• Cause: Payload schema mismatch, missing turns array, or invalid export directive.
• Fix: Verify the ObjectNode structure matches the Cognigy.AI archive schema. Ensure exportFormat is set to JSON and anonymizationTrigger is auto or manual. Run the payload through TranscriptValidator before transmission.
• Code Fix: Add if (!payload.has("turns") || !payload.get("turns").isArray()) throw new IllegalArgumentException("Invalid turn matrix"); before serialization.

Error: 413 Payload Too Large

• Cause: Transcript exceeds the 5 MB enforcement limit.
• Fix: Truncate older turns, remove raw entity payloads, or split the archive into multiple sessions. The TranscriptValidator already blocks oversized payloads. Implement chunking logic if sessions exceed limits regularly.
• Code Fix: Monitor rawBytes.length in validateAndSanitize. If approaching 4.5 MB, log a warning and drop non-critical metadata fields.

Error: 429 Too Many Requests

• Cause: Rate limit cascade from rapid archival calls.
• Fix: The executeWithRetry method handles exponential backoff using the Retry-After header. Ensure your client does not spawn multiple concurrent threads hitting the same endpoint without coordination.
• Code Fix: Verify parseRetryAfter correctly converts seconds to milliseconds. Add a global semaphore if orchestrating bulk uploads.

Error: 401 Unauthorized

• Cause: Expired OAuth token or invalid client credentials.
• Fix: The CognigyAuthManager refreshes tokens automatically. Ensure the OAuth client has cognigy:dialogues:write scope assigned in the Cognigy console. Check that the token endpoint URL matches your tenant base URL.
• Code Fix: Log response.body() on 401 to capture exact error messages like invalid_grant or insufficient_scope.

Official References

• Cognigy.AI REST API Documentation
• Cognigy.AI OAuth2 Authentication Guide
• Cognigy.AI Dialogue Archive Endpoint
• NICE CXone Analytics & Logging API