Overriding Genesys Cloud Agent Assist Intent Classifications via Agent Assist API with Java

What You Will Build

• A Java service that programmatically overrides incorrect Agent Assist intent classifications by submitting structured feedback payloads to the Genesys Cloud API.
• This implementation uses the AgentAssistApi SDK class and the PUT /api/v2/agent-assist/sessions/{sessionId}/suggestions/{suggestionId}/feedback endpoint.
• The tutorial covers Java 17 with the official Genesys Cloud Java SDK, including validation pipelines, callback synchronization, latency tracking, and audit logging.

Prerequisites

• OAuth 2.0 Client Credentials grant with scopes: agentassist:feedback:write, agentassist:sessions:read, analytics:conversations:read
• Genesys Cloud Java SDK version 12.0.0 or higher
• Java 17 runtime, Maven or Gradle build tool
• Dependencies: com.genesiscloud:genesyscloud-java, com.fasterxml.jackson.core:jackson-databind, org.slf4j:slf4j-api

Authentication Setup

The Genesys Cloud Java SDK handles OAuth token acquisition through the OAuthApi class. You must configure the ApiClient with your base URL, client ID, client secret, and required scopes. Token caching is mandatory to avoid unnecessary authentication requests and to respect rate limits.

import com.genesiscloud.client.ApiClient;
import com.genesiscloud.client.auth.oauth.OAuthApi;
import com.genesiscloud.client.model.TokenResponse;
import com.genesiscloud.client.ApiException;

import java.util.Arrays;
import java.util.concurrent.TimeUnit;

public class GenesysAuthManager {

    private final ApiClient apiClient;
    private final OAuthApi oauthApi;
    private volatile long tokenExpiryEpoch = 0;

    public GenesysAuthManager(String baseUrl, String clientId, String clientSecret) {
        this.apiClient = new ApiClient(baseUrl);
        this.oauthApi = new OAuthApi(apiClient);
    }

    public ApiClient getAuthenticatedClient() throws ApiException {
        if (System.currentTimeMillis() < tokenExpiryEpoch) {
            return apiClient;
        }

        String[] scopes = {"agentassist:feedback:write", "agentassist:sessions:read", "analytics:conversations:read"};
        TokenResponse tokenResponse = oauthApi.postOAuthToken(
            Arrays.asList(scopes),
            null,
            "client_credentials",
            null
        );

        apiClient.setAccessToken(tokenResponse.getAccessToken());
        tokenExpiryEpoch = System.currentTimeMillis() + TimeUnit.SECONDS.toMillis(tokenResponse.getExpiresIn());
        
        return apiClient;
    }
}

The postOAuthToken method accepts the required scopes. If the endpoint returns a 401 Unauthorized response, verify the client credentials. If it returns a 403 Forbidden response, confirm that the OAuth client has the agentassist:feedback:write scope assigned in the Genesys Cloud admin console.

Implementation

Step 1: Configuration and SDK Initialization

Initialize the AgentAssistApi with the authenticated client. Configure connection timeouts and retry policies to handle transient network failures and 429 rate limit responses.

import com.genesiscloud.client.api.AgentAssistApi;
import com.genesiscloud.client.ApiException;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;

import java.net.InetAddress;
import java.net.UnknownHostException;

public class AgentAssistConfig {
    private static final Logger logger = LoggerFactory.getLogger(AgentAssistConfig.class);

    private final AgentAssistApi agentAssistApi;
    private final int maxRetries = 3;
    private final long retryBackoffMs = 1500;

    public AgentAssistConfig(ApiClient apiClient) {
        this.agentAssistApi = new AgentAssistApi(apiClient);
        this.agentAssistApi.getApiClient().setConnectTimeout(5000);
        this.agentAssistApi.getApiClient().setReadTimeout(10000);
    }

    public AgentAssistApi getAgentAssistApi() {
        return agentAssistApi;
    }

    public int getMaxRetries() { return maxRetries; }
    public long getRetryBackoffMs() { return retryBackoffMs; }
}

The SDK client enforces connection and read timeouts. When a 429 Too Many Requests response occurs, the retry logic in Step 3 will apply exponential backoff. The AgentAssistApi class routes all requests through /api/v2/agent-assist/.

Step 2: Override Payload Construction and Validation

Construct the SuggestionFeedbackRequest payload and validate it against assist engine constraints. The validation pipeline checks the confidence threshold matrix, verifies intent hierarchy alignment, and enforces maximum override frequency limits to prevent model degradation.

import com.genesiscloud.client.model.SuggestionFeedbackRequest;
import com.genesiscloud.client.model.SuggestionFeedbackResponse;

import java.util.*;
import java.util.concurrent.ConcurrentHashMap;

public class OverrideValidationPipeline {
    private static final Map<String, Integer> overrideFrequency = new ConcurrentHashMap<>();
    private static final int MAX_OVERRIDES_PER_SESSION = 5;
    private static final double MIN_CONFIDENCE_THRESHOLD = 0.65;

    public static SuggestionFeedbackRequest buildPayload(
            String sessionId,
            String suggestionId,
            String interactionId,
            String originalIntent,
            String correctedIntent,
            double originalConfidence) {

        SuggestionFeedbackRequest payload = new SuggestionFeedbackRequest();
        payload.setCorrectIntent(correctedIntent);
        payload.setIsCorrect(false);
        payload.setFeedbackType("correction");
        return payload;
    }

    public static void validateOverride(
            String sessionId,
            String originalIntent,
            String correctedIntent,
            double originalConfidence,
            Map<String, List<String>> intentHierarchy) {

        if (originalConfidence > MIN_CONFIDENCE_THRESHOLD) {
            throw new IllegalArgumentException("Original confidence exceeds threshold. Override rejected to preserve high-confidence classifications.");
        }

        List<String> allowedParents = intentHierarchy.getOrDefault(correctedIntent, Collections.emptyList());
        if (allowedParents.isEmpty() || !allowedParents.contains(originalIntent)) {
            throw new IllegalArgumentException("Intent hierarchy mismatch. Corrected intent does not align with allowed parent taxonomy.");
        }

        int currentCount = overrideFrequency.getOrDefault(sessionId, 0);
        if (currentCount >= MAX_OVERRIDES_PER_SESSION) {
            throw new IllegalStateException("Maximum override frequency limit reached for session " + sessionId);
        }

        overrideFrequency.put(sessionId, currentCount + 1);
    }
}

The buildPayload method constructs the JSON body that matches the SuggestionFeedbackRequest schema. The validateOverride method enforces business rules before the API call. The confidence threshold matrix prevents overriding high-confidence predictions. The intent hierarchy check ensures taxonomic consistency. The frequency counter prevents spamming the assist engine with excessive corrections.

Step 3: Atomic PUT Operation and API Execution

Execute the feedback submission using an atomic PUT request. The operation includes retry logic for 429 responses, format verification, and automatic model retraining acknowledgment. Genesys Cloud processes feedback asynchronously for model retraining, but the API returns a synchronous acknowledgment.

import com.genesiscloud.client.model.SuggestionFeedbackRequest;
import com.genesiscloud.client.model.SuggestionFeedbackResponse;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;

import java.util.concurrent.TimeUnit;

public class OverrideExecutor {
    private static final Logger logger = LoggerFactory.getLogger(OverrideExecutor.class);
    private final AgentAssistConfig config;

    public OverrideExecutor(AgentAssistConfig config) {
        this.config = config;
    }

    public SuggestionFeedbackResponse submitOverride(
            String sessionId,
            String suggestionId,
            SuggestionFeedbackRequest payload) {

        int attempts = 0;
        while (attempts < config.getMaxRetries()) {
            try {
                SuggestionFeedbackResponse response = config.getAgentAssistApi()
                        .agentAssistSessionsSuggestionsSuggestionIdFeedbackPut(sessionId, suggestionId, payload);

                if (response != null && response.getFeedbackId() != null) {
                    logger.info("Override submitted successfully. Feedback ID: {}", response.getFeedbackId());
                    return response;
                }
                throw new IllegalStateException("API returned null or invalid feedback ID");
            } catch (com.genesiscloud.client.ApiException e) {
                if (e.getCode() == 429 && attempts < config.getMaxRetries() - 1) {
                    long waitTime = config.getRetryBackoffMs() * Math.pow(2, attempts);
                    logger.warn("Rate limited (429). Retrying in {} ms...", waitTime);
                    sleepSilently(waitTime);
                    attempts++;
                    continue;
                }
                logger.error("API call failed with status {}: {}", e.getCode(), e.getMessage());
                throw new RuntimeException("Override submission failed", e);
            }
        }
        throw new RuntimeException("Max retries exceeded for override submission");
    }

    private void sleepSilently(long ms) {
        try { TimeUnit.MILLISECONDS.sleep(ms); } catch (InterruptedException e) { Thread.currentThread().interrupt(); }
    }
}

The agentAssistSessionsSuggestionsSuggestionIdFeedbackPut method maps to PUT /api/v2/agent-assist/sessions/{sessionId}/suggestions/{suggestionId}/feedback. The request requires the agentassist:feedback:write scope. The response contains a feedbackId that confirms the atomic operation succeeded. The retry loop handles 429 responses with exponential backoff. A 400 Bad Request indicates schema validation failure. A 403 Forbidden indicates missing OAuth scopes. A 500 Internal Server Error indicates assist engine constraint violations.

Step 4: Callback Synchronization and Metrics Tracking

Synchronize override events with external knowledge base systems via callback handlers. Track override latency and correction accuracy rates for assist efficiency monitoring. Generate structured audit logs for classification governance.

import org.slf4j.Logger;
import org.slf4j.LoggerFactory;

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

public class OverrideMetricsAndSync {
    private static final Logger logger = LoggerFactory.getLogger(OverrideMetricsAndSync.class);
    private final Map<String, Long> latencyTracker = new ConcurrentHashMap<>();
    private final Map<String, Integer> accuracyTracker = new ConcurrentHashMap<>();
    private final ExternalKbCallbackHandler callbackHandler;

    public OverrideMetricsAndSync(ExternalKbCallbackHandler callbackHandler) {
        this.callbackHandler = callbackHandler;
    }

    public void processOverrideEvent(
            String sessionId,
            String interactionId,
            String correctedIntent,
            long requestStartTime,
            boolean isAccurateCorrection) {

        long latencyMs = Instant.now().toEpochMilli() - requestStartTime;
        latencyTracker.put(sessionId, latencyMs);
        
        int currentAccuracy = accuracyTracker.getOrDefault(sessionId, 0);
        if (isAccurateCorrection) {
            accuracyTracker.put(sessionId, currentAccuracy + 1);
        }

        generateAuditLog(sessionId, interactionId, correctedIntent, latencyMs, isAccurateCorrection);
        callbackHandler.syncToExternalKb(sessionId, interactionId, correctedIntent);
    }

    private void generateAuditLog(
            String sessionId,
            String interactionId,
            String correctedIntent,
            long latencyMs,
            boolean isAccurateCorrection) {
        
        String auditEntry = String.format(
            "{\"timestamp\":\"%s\",\"sessionId\":\"%s\",\"interactionId\":\"%s\",\"correctedIntent\":\"%s\",\"latencyMs\":%d,\"isAccurate\":%b,\"action\":\"INTENT_OVERRIDE\"}",
            Instant.now().toString(),
            sessionId,
            interactionId,
            correctedIntent,
            latencyMs,
            isAccurateCorrection
        );
        logger.info("AUDIT: {}", auditEntry);
    }
}

The processOverrideEvent method calculates latency from the request start time. It updates accuracy counters for governance reporting. The generateAuditLog method produces JSON-formatted entries for classification governance pipelines. The callbackHandler interface allows integration with external knowledge base systems. This separation ensures the core override logic remains decoupled from downstream synchronization.

Complete Working Example

The following module integrates authentication, validation, execution, and metrics tracking into a single runnable service. Replace the placeholder credentials with your Genesys Cloud environment values.

import com.genesiscloud.client.ApiClient;
import com.genesiscloud.client.api.AgentAssistApi;
import com.genesiscloud.client.auth.oauth.OAuthApi;
import com.genesiscloud.client.model.SuggestionFeedbackRequest;
import com.genesiscloud.client.model.SuggestionFeedbackResponse;
import com.genesiscloud.client.model.TokenResponse;
import com.genesiscloud.client.ApiException;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;

import java.util.Arrays;
import java.util.Collections;
import java.util.List;
import java.util.Map;
import java.util.concurrent.ConcurrentHashMap;
import java.util.concurrent.TimeUnit;

public class AgentAssistIntentOverrider {
    private static final Logger logger = LoggerFactory.getLogger(AgentAssistIntentOverrider.class);
    private final AgentAssistApi agentAssistApi;
    private final OverrideMetricsAndSync metricsSync;
    private final Map<String, List<String>> intentHierarchy;
    private final Map<String, Integer> overrideFrequency = new ConcurrentHashMap<>();

    public AgentAssistIntentOverrider(
            String baseUrl,
            String clientId,
            String clientSecret,
            OverrideMetricsAndSync metricsSync,
            Map<String, List<String>> intentHierarchy) throws ApiException {

        ApiClient apiClient = new ApiClient(baseUrl);
        OAuthApi oauthApi = new OAuthApi(apiClient);
        String[] scopes = {"agentassist:feedback:write", "agentassist:sessions:read", "analytics:conversations:read"};
        TokenResponse token = oauthApi.postOAuthToken(Arrays.asList(scopes), null, "client_credentials", null);
        apiClient.setAccessToken(token.getAccessToken());

        this.agentAssistApi = new AgentAssistApi(apiClient);
        this.agentAssistApi.getApiClient().setConnectTimeout(5000);
        this.agentAssistApi.getApiClient().setReadTimeout(10000);
        this.metricsSync = metricsSync;
        this.intentHierarchy = intentHierarchy;
    }

    public SuggestionFeedbackResponse overrideIntent(
            String sessionId,
            String suggestionId,
            String interactionId,
            String originalIntent,
            String correctedIntent,
            double originalConfidence,
            boolean isAccurateCorrection) {

        long startTime = System.currentTimeMillis();
        validateOverrideConstraints(sessionId, originalIntent, correctedIntent, originalConfidence);

        SuggestionFeedbackRequest payload = new SuggestionFeedbackRequest();
        payload.setCorrectIntent(correctedIntent);
        payload.setIsCorrect(false);
        payload.setFeedbackType("correction");

        SuggestionFeedbackResponse response = executeWithRetry(sessionId, suggestionId, payload);
        metricsSync.processOverrideEvent(sessionId, interactionId, correctedIntent, startTime, isAccurateCorrection);
        return response;
    }

    private void validateOverrideConstraints(
            String sessionId,
            String originalIntent,
            String correctedIntent,
            double originalConfidence) {

        if (originalConfidence > 0.65) {
            throw new IllegalArgumentException("Confidence threshold exceeded. Override rejected.");
        }

        List<String> allowedParents = intentHierarchy.getOrDefault(correctedIntent, Collections.emptyList());
        if (allowedParents.isEmpty() || !allowedParents.contains(originalIntent)) {
            throw new IllegalArgumentException("Intent hierarchy validation failed.");
        }

        int count = overrideFrequency.getOrDefault(sessionId, 0);
        if (count >= 5) {
            throw new IllegalStateException("Maximum override frequency limit reached.");
        }
        overrideFrequency.put(sessionId, count + 1);
    }

    private SuggestionFeedbackResponse executeWithRetry(
            String sessionId,
            String suggestionId,
            SuggestionFeedbackRequest payload) {

        int attempts = 0;
        int maxRetries = 3;
        long backoffMs = 1500;

        while (attempts < maxRetries) {
            try {
                SuggestionFeedbackResponse response = agentAssistApi
                        .agentAssistSessionsSuggestionsSuggestionIdFeedbackPut(sessionId, suggestionId, payload);

                if (response != null && response.getFeedbackId() != null) {
                    logger.info("Override committed. Feedback ID: {}", response.getFeedbackId());
                    return response;
                }
                throw new IllegalStateException("Invalid API response structure");
            } catch (ApiException e) {
                if (e.getCode() == 429 && attempts < maxRetries - 1) {
                    logger.warn("Rate limited. Retrying in {} ms...", backoffMs);
                    try { TimeUnit.MILLISECONDS.sleep(backoffMs); } catch (InterruptedException ex) { Thread.currentThread().interrupt(); }
                    backoffMs *= 2;
                    attempts++;
                    continue;
                }
                logger.error("API failure: status {}, message {}", e.getCode(), e.getMessage());
                throw new RuntimeException("Override execution failed", e);
            }
        }
        throw new RuntimeException("Retry limit exceeded");
    }

    // External callback interface for knowledge base synchronization
    public interface ExternalKbCallbackHandler {
        void syncToExternalKb(String sessionId, String interactionId, String correctedIntent);
    }
}

The overrideIntent method orchestrates validation, payload construction, API execution, and metrics tracking. The executeWithRetry method handles 429 responses with exponential backoff. The validateOverrideConstraints method enforces confidence thresholds, intent hierarchy rules, and frequency limits. The ExternalKbCallbackHandler interface allows downstream systems to receive override events for knowledge base alignment.

Common Errors & Debugging

Error: 400 Bad Request

• Cause: The SuggestionFeedbackRequest payload violates the assist engine schema. Missing required fields or invalid feedbackType values trigger this response.
• Fix: Verify that correctIntent, isCorrect, and feedbackType are populated. Ensure feedbackType matches allowed values: correction, accept, or reject.
• Code showing the fix:

payload.setCorrectIntent(correctedIntent);
payload.setIsCorrect(false);
payload.setFeedbackType("correction");

Error: 429 Too Many Requests

• Cause: The override frequency exceeds Genesys Cloud rate limits or session constraints.
• Fix: Implement exponential backoff retry logic. Enforce a maximum override count per session before calling the API.
• Code showing the fix:

if (e.getCode() == 429 && attempts < maxRetries - 1) {
    TimeUnit.MILLISECONDS.sleep(backoffMs);
    backoffMs *= 2;
    attempts++;
    continue;
}

Error: 403 Forbidden

• Cause: The OAuth client lacks the agentassist:feedback:write scope or the user token is expired.
• Fix: Refresh the access token using the OAuthApi class. Verify scope assignment in the Genesys Cloud admin console under Integrations.
• Code showing the fix:

String[] scopes = {"agentassist:feedback:write", "agentassist:sessions:read"};
TokenResponse token = oauthApi.postOAuthToken(Arrays.asList(scopes), null, "client_credentials", null);
apiClient.setAccessToken(token.getAccessToken());

Error: 500 Internal Server Error

• Cause: Assist engine constraint violations or backend processing failures.
• Fix: Validate intent taxonomy alignment before submission. Check that the sessionId and suggestionId correspond to an active assist session. Log the full request payload for support tickets.
• Code showing the fix:

if (allowedParents.isEmpty() || !allowedParents.contains(originalIntent)) {
    throw new IllegalArgumentException("Intent hierarchy validation failed.");
}

Official References

• Agent Assist API Documentation
• Suggestion Feedback Endpoint
• Genesys Cloud Java SDK Reference
• OAuth 2.0 Authentication Guide