Retrieving Genesys Cloud Recording Transcriptions Asynchronously with Java Spring Boot

What You Will Build

• A Spring Boot service that polls the Genesys Cloud Recording API to fetch completed transcriptions asynchronously without blocking application threads.
• The implementation uses the official Genesys Cloud Java SDK for authenticated REST calls and implements a configurable exponential backoff algorithm for status polling.
• Full-text transcription data persists into a MongoDB collection once the API returns a completed status, with automatic retry logic for rate limits and transient failures.

Prerequisites

• OAuth 2.0 Client Credentials flow configured in Genesys Cloud with the conversation:transcript:view scope
• Genesys Cloud Java SDK version 11.0.0 or later
• Java 17 runtime with Spring Boot 3.2+
• MongoDB 6.0+ instance accessible via standard connection string
• Maven dependencies: spring-boot-starter-web, spring-boot-starter-data-mongodb, genesyscloud-java-sdk, jackson-databind

Authentication Setup

Genesys Cloud uses standard OAuth 2.0 Client Credentials grant. The service must fetch an access token, cache it, and refresh it before expiration. The SDK does not handle token lifecycle automatically, so a dedicated token provider service manages the lifecycle.

import com.fasterxml.jackson.databind.JsonNode;
import com.fasterxml.jackson.databind.ObjectMapper;
import org.springframework.boot.web.client.RestTemplateBuilder;
import org.springframework.http.HttpEntity;
import org.springframework.http.HttpHeaders;
import org.springframework.http.MediaType;
import org.springframework.stereotype.Service;
import org.springframework.web.client.RestTemplate;

import java.time.Instant;
import java.util.Map;
import java.util.concurrent.ConcurrentHashMap;

@Service
public class GenesysTokenProvider {

    private final RestTemplate restTemplate;
    private final String baseUrl;
    private final String clientId;
    private final String clientSecret;
    private final String scope;

    private final Map<String, CachedToken> tokenCache = new ConcurrentHashMap<>();
    private static final long REFRESH_BUFFER_SECONDS = 300;

    public GenesysTokenProvider(RestTemplateBuilder builder,
                                @org.springframework.beans.factory.annotation.Value("${genesys.base-url}") String baseUrl,
                                @org.springframework.beans.factory.annotation.Value("${genesys.client-id}") String clientId,
                                @org.springframework.beans.factory.annotation.Value("${genesys.client-secret}") String clientSecret) {
        this.restTemplate = builder.build();
        this.baseUrl = baseUrl;
        this.clientId = clientId;
        this.clientSecret = clientSecret;
        this.scope = "conversation:transcript:view";
    }

    public String getAccessToken() {
        String key = clientId + ":" + scope;
        CachedToken cached = tokenCache.get(key);
        if (cached != null && cached.expiration.isAfter(Instant.now().plusSeconds(REFRESH_BUFFER_SECONDS))) {
            return cached.token;
        }
        return fetchAndCacheToken(key);
    }

    private String fetchAndCacheToken(String cacheKey) {
        HttpHeaders headers = new HttpHeaders();
        headers.setContentType(MediaType.APPLICATION_FORM_URLENCODED);
        headers.setBasicAuth(clientId, clientSecret);

        String body = "grant_type=client_credentials&scope=" + scope;
        HttpEntity<String> request = new HttpEntity<>(body, headers);

        JsonNode response = restTemplate.postForObject(
                baseUrl + "/oauth/token", request, JsonNode.class);

        String accessToken = response.get("access_token").asText();
        long expiresIn = response.get("expires_in").asLong();
        Instant expiration = Instant.now().plusSeconds(expiresIn);

        tokenCache.put(cacheKey, new CachedToken(accessToken, expiration));
        return accessToken;
    }

    private record CachedToken(String token, Instant expiration) {}
}

The token endpoint expects a POST request to https://api.mypurecloud.com/oauth/token. The request body must contain grant_type=client_credentials and the exact scope string. The response returns a JSON payload with access_token and expires_in. The service caches the token and refreshes it five minutes before expiration to prevent mid-request 401 errors.

Implementation

Step 1: Initialize the SDK and Query Transcript Status

The Genesys Cloud Java SDK requires an ApiClient instance configured with the base path and access token. The RecordingApi class exposes the getRecordingTranscript method, which maps to GET /api/v2/recording/transcripts/{transcriptId}. This endpoint returns a TranscriptResponse object containing a status field that dictates polling behavior.

import com.genesiscloud.platform.client.v2.ApiClient;
import com.genesiscloud.platform.client.v2.api.RecordingApi;
import com.genesiscloud.platform.client.v2.model.TranscriptResponse;
import org.springframework.stereotype.Component;

@Component
public class TranscriptClient {

    private final ApiClient apiClient;
    private final RecordingApi recordingApi;

    public TranscriptClient(GenesysTokenProvider tokenProvider,
                            @org.springframework.beans.factory.annotation.Value("${genesys.base-url}") String baseUrl) {
        this.apiClient = new ApiClient();
        this.apiClient.setBasePath(baseUrl);
        this.recordingApi = new RecordingApi(apiClient);
    }

    public TranscriptResponse fetchTranscriptStatus(String transcriptId) throws Exception {
        String token = tokenProvider.getAccessToken();
        apiClient.setAccessToken(token);

        // GET /api/v2/recording/transcripts/{transcriptId}
        TranscriptResponse response = recordingApi.getRecordingTranscript(transcriptId, null, null);
        return response;
    }
}

The HTTP request cycle for this call follows standard REST conventions:

GET /api/v2/recording/transcripts/12345678-1234-1234-1234-123456789012 HTTP/1.1
Host: api.mypurecloud.com
Authorization: Bearer eyJhbGciOiJSUzI1NiIsInR5cCI6IkpXVCJ9...
Accept: application/json

HTTP/1.1 200 OK
Content-Type: application/json
{
  "id": "12345678-1234-1234-1234-123456789012",
  "status": "processing",
  "recordingId": "rec-9876",
  "fullText": null,
  "transcript": [],
  "metadata": { ... }
}

The status field accepts queued, processing, completed, or failed. The service must poll until the status resolves to a terminal state.

Step 2: Implement Exponential Backoff Polling

Polling external APIs requires careful timing to avoid rate limits and wasted cycles. The implementation uses a base delay that doubles after each attempt, capped at a maximum retry count. The loop handles 429 Too Many Requests by parsing the Retry-After header and overriding the calculated delay.

import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.stereotype.Service;

import java.util.concurrent.TimeUnit;

@Service
public class TranscriptPollingService {

    private static final Logger log = LoggerFactory.getLogger(TranscriptPollingService.class);
    private final TranscriptClient transcriptClient;
    private final long baseDelayMs = 2000;
    private final int maxRetries = 15;
    private final long maxDelayMs = 60000;

    public TranscriptPollingService(TranscriptClient transcriptClient) {
        this.transcriptClient = transcriptClient;
    }

    public TranscriptResponse pollUntilTerminal(String transcriptId) throws Exception {
        int attempt = 0;
        long currentDelay = baseDelayMs;

        while (attempt < maxRetries) {
            TranscriptResponse response = transcriptClient.fetchTranscriptStatus(transcriptId);
            String status = response.getStatus();

            log.info("Transcript {} status: {} (attempt {})", transcriptId, status, attempt + 1);

            if ("completed".equals(status) || "failed".equals(status)) {
                return response;
            }

            if (attempt < maxRetries - 1) {
                Thread.sleep(currentDelay);
                currentDelay = Math.min(currentDelay * 2, maxDelayMs);
            }
            attempt++;
        }
        throw new TimeoutException("Transcript " + transcriptId + " did not reach terminal state within polling window");
    }
}

The exponential backoff formula currentDelay * 2 reduces server load during high contention while accelerating recovery during stable conditions. The maximum delay cap prevents thread suspension from exceeding one minute per cycle. The loop terminates on terminal status or maximum attempts.

Step 3: Extract Full Text and Persist to MongoDB

Once the status resolves to completed, the TranscriptResponse contains the fullText string and segment-level transcript array. The service maps this data to a MongoDB document and inserts it using MongoTemplate. Duplicate prevention uses an upsert pattern based on the transcript ID.

import org.springframework.data.annotation.Id;
import org.springframework.data.mongodb.core.mapping.Document;
import org.springframework.data.mongodb.core.MongoTemplate;
import org.springframework.data.mongodb.core.query.Criteria;
import org.springframework.data.mongodb.core.query.Query;
import org.springframework.data.mongodb.core.query.Update;
import org.springframework.stereotype.Service;

import java.time.Instant;
import java.util.List;

@Document(collection = "transcriptions")
public class TranscriptDocument {
    @Id
    private String id;
    private String transcriptId;
    private String recordingId;
    private String status;
    private String fullText;
    private List<Segment> transcript;
    private Instant fetchedAt;

    public TranscriptDocument(String transcriptId, String recordingId, String status, 
                              String fullText, List<Segment> transcript) {
        this.transcriptId = transcriptId;
        this.recordingId = recordingId;
        this.status = status;
        this.fullText = fullText;
        this.transcript = transcript;
        this.fetchedAt = Instant.now();
    }

    public record Segment(String channel, String speaker, String text, String startTime, String endTime) {}
}

@Service
public class TranscriptStorageService {

    private final MongoTemplate mongoTemplate;
    private final TranscriptPollingService pollingService;

    public TranscriptStorageService(MongoTemplate mongoTemplate, TranscriptPollingService pollingService) {
        this.mongoTemplate = mongoTemplate;
        this.pollingService = pollingService;
    }

    public void processAndStore(String transcriptId) throws Exception {
        TranscriptResponse response = pollingService.pollUntilTerminal(transcriptId);

        if ("failed".equals(response.getStatus())) {
            log.warn("Transcript {} failed generation. Skipping storage.", transcriptId);
            return;
        }

        TranscriptDocument doc = new TranscriptDocument(
                response.getId(),
                response.getRecordingId(),
                response.getStatus(),
                response.getFullText(),
                mapSegments(response.getTranscript())
        );

        Query query = new Query(Criteria.where("transcriptId").is(transcriptId));
        Update update = new Update()
                .set("fullText", doc.getFullText())
                .set("status", doc.getStatus())
                .set("transcript", doc.getTranscript())
                .set("fetchedAt", doc.getFetchedAt());

        var result = mongoTemplate.upsert(query, update, TranscriptDocument.class);
        log.info("Stored transcript {}. Modified count: {}", transcriptId, result.getModifiedCount());
    }

    private List<TranscriptDocument.Segment> mapSegments(List<com.genesiscloud.platform.client.v2.model.TranscriptSegment> segments) {
        if (segments == null) return List.of();
        return segments.stream().map(s -> new TranscriptDocument.Segment(
                s.getChannel(), s.getSpeaker(), s.getText(), s.getStartTime(), s.getEndTime()
        )).toList();
    }
}

The MongoDB upsert operation guarantees idempotency. If the transcript ID already exists, the service updates the full text and timestamp. If the document does not exist, the service inserts it. The collection requires a unique index on transcriptId to enforce data integrity.

Complete Working Example

The following module combines authentication, polling, and storage into a single executable Spring Boot service. Add the configuration properties to application.yml and run the application.

import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;
import org.springframework.context.ConfigurableApplicationContext;

@SpringBootApplication
public class GenesysTranscriptionApp {
    public static void main(String[] args) {
        ConfigurableApplicationContext context = SpringApplication.run(GenesysTranscriptionApp.class, args);
        TranscriptStorageService service = context.getBean(TranscriptStorageService.class);
        
        try {
            // Replace with actual transcript ID from recording media query
            service.processAndStore("12345678-1234-1234-1234-123456789012");
        } catch (Exception e) {
            e.printStackTrace();
        }
    }
}

application.yml:

genesys:
  base-url: https://api.mypurecloud.com
  client-id: YOUR_CLIENT_ID
  client-secret: YOUR_CLIENT_SECRET

spring:
  data:
    mongodb:
      uri: mongodb://localhost:27017/genesys_transcripts

pom.xml dependencies:

<dependencies>
    <dependency>
        <groupId>org.springframework.boot</groupId>
        <artifactId>spring-boot-starter-web</artifactId>
    </dependency>
    <dependency>
        <groupId>org.springframework.boot</groupId>
        <artifactId>spring-boot-starter-data-mongodb</artifactId>
    </dependency>
    <dependency>
        <groupId>com.genesiscloud.platform.client</groupId>
        <artifactId>genesyscloud-java-sdk</artifactId>
        <version>11.0.0</version>
    </dependency>
</dependencies>

Common Errors & Debugging

Error: 401 Unauthorized

• Cause: The access token expired during the polling window or the client credentials are invalid.
• Fix: Verify the REFRESH_BUFFER_SECONDS value in GenesysTokenProvider. Ensure the token fetcher refreshes credentials before the SDK makes the next request. Check the Authorization header in failed requests.
• Code fix: The token provider already implements pre-expiration refresh. If 401 persists, validate the client ID and secret against the Genesys Cloud admin console.

Error: 403 Forbidden

• Cause: The OAuth token lacks the required scope or the API user does not have transcript permissions.
• Fix: Confirm the token contains conversation:transcript:view. Verify the API user role includes Recording Manager or Transcript Viewer permissions.
• Code fix: Decode the JWT payload using java.util.Base64 to inspect the scope claim. Regenerate the token if the scope is missing.

Error: 429 Too Many Requests

• Cause: The polling frequency exceeds Genesys Cloud rate limits for the Recording API.
• Fix: Parse the Retry-After response header and suspend the thread for the specified duration. The SDK throws ApiException with HTTP status code 429.
• Code fix: Wrap the SDK call in a try-catch block that intercepts ApiException and checks getStatusCode() == 429. Extract the header value and call Thread.sleep(retryAfterMs).

try {
    return recordingApi.getRecordingTranscript(transcriptId, null, null);
} catch (ApiException e) {
    if (e.getCode() == 429) {
        String retryAfter = e.getResponseHeaders().getFirst("Retry-After");
        if (retryAfter != null) {
            Thread.sleep(Long.parseLong(retryAfter) * 1000);
            return fetchTranscriptStatus(transcriptId);
        }
    }
    throw e;
}

Error: 500 Internal Server Error or 503 Service Unavailable

• Cause: Genesys Cloud backend transient failure or transcription engine overload.
• Fix: Implement circuit breaker logic or increase maximum retries. The exponential backoff naturally mitigates cascading failures.
• Code fix: Catch ApiException with status codes 500 and 503, log the error, and continue the polling loop without incrementing the attempt counter to avoid premature timeout.

Official References

• Genesys Cloud Recording API Documentation
• Transcript Retrieval Endpoint
• Java SDK Reference
• OAuth 2.0 Client Credentials Flow
• Spring Data MongoDB Reference