Configuring Genesys Cloud Agent Assist Screen Pop Rules via Java SDK

What You Will Build

• A Java module that constructs, validates, and deploys Agent Assist screen pop rules with atomic PUT operations, webhook synchronization, and audit logging.
• The implementation uses the Genesys Cloud Java SDK (com.mypurecloud.api.client) and targets the /api/v2/agentassist/rules endpoint.
• The code is written in Java 17 and covers payload construction, schema validation, rate-limit retry logic, and configuration tracking.

Prerequisites

• OAuth Client Credentials grant with scopes: agentassist:rule:write, agentassist:rule:read, agentassist:screenpop:read
• Genesys Cloud Java SDK v110+ (com.mypurecloud.api.client)
• Java 17 runtime
• Maven or Gradle dependency management
• Active Genesys Cloud organization with Agent Assist enabled

Authentication Setup

The Genesys Cloud Java SDK handles token acquisition, caching, and automatic refresh when configured with OAuthClientCredentialsProvider. You must register the provider before instantiating any API client.

import com.mypurecloud.api.client.ApiClient;
import com.mypurecloud.api.client.auth.oauth.OAuthClientCredentialsProvider;
import com.mypurecloud.api.client.auth.oauth.OAuthRefreshTokenProvider;
import java.util.Arrays;

public class AuthSetup {
    public static ApiClient initializeApiClient(
            String environment,
            String clientId,
            String clientSecret) {
        
        ApiClient apiClient = new ApiClient();
        
        OAuthClientCredentialsProvider credentialsProvider = 
            new OAuthClientCredentialsProvider(
                apiClient, 
                environment, 
                clientId, 
                clientSecret);
        
        credentialsProvider.setScopes(Arrays.asList(
            "agentassist:rule:write",
            "agentassist:rule:read"
        ));
        
        apiClient.setAuthProvider(credentialsProvider);
        
        return apiClient;
    }
}

The provider caches the access token in memory and automatically requests a new token when the current token expires. No manual refresh logic is required.

Implementation

Step 1: SDK Initialization and Rule Count Validation

Before constructing a new rule, you must verify that the organization has not exceeded the maximum rule count limit. The Assist Engine enforces a hard limit per organization. You will fetch existing rules, count them, and proceed only if capacity remains.

import com.mypurecloud.api.client.ApiClient;
import com.mypurecloud.api.client.ApiException;
import com.mypurecloud.api.clients.agentassist.AgentassistApi;
import com.mypurecloud.api.models.EntityListing;
import com.mypurecloud.api.models.Rule;
import java.util.List;

public class RuleValidator {
    private static final int MAX_RULE_COUNT = 500;
    private final AgentassistApi agentassistApi;

    public RuleValidator(ApiClient apiClient) {
        this.agentassistApi = new AgentassistApi(apiClient);
    }

    public boolean validateRuleCapacity() throws ApiException {
        EntityListing existingRules = agentassistApi.getAgentassistRules(
            null, null, null, null, null, null, null);
        
        List<Rule> rules = existingRules.getEntities();
        if (rules == null) return true;
        
        int currentCount = rules.size();
        if (currentCount >= MAX_RULE_COUNT) {
            throw new IllegalStateException(
                String.format(
                    "Assist engine constraint violated: current rule count %d exceeds maximum %d",
                    currentCount, MAX_RULE_COUNT));
        }
        
        return true;
    }
}

Expected Response Structure

GET /api/v2/agentassist/rules?pageSize=100
200 OK
{
  "entities": [
    {
      "id": "a1b2c3d4-e5f6-7890-abcd-ef1234567890",
      "name": "Customer Lookup Pop",
      "enabled": true,
      "screenPopId": "sp-001",
      "conditions": [],
      "actions": []
    }
  ],
  "pageCount": 1,
  "pageSize": 100,
  "pageNumber": 1,
  "totalCount": 42
}

Step 2: Payload Construction and Schema Validation

You will construct the rule payload with screen pop ID references, trigger condition matrices, and window focus directives. The validation pipeline checks expression syntax and verifies UI component availability before serialization.

import com.mypurecloud.api.models.Condition;
import com.mypurecloud.api.models.Rule;
import com.mypurecloud.api.models.Action;
import java.util.ArrayList;
import java.util.List;
import java.util.regex.Pattern;

public class RulePayloadBuilder {
    private static final Pattern EXPRESSION_PATTERN = 
        Pattern.compile("^[a-zA-Z_][a-zA-Z0-9_.]*(?:\\s*(?:==|!=|<|>|<=|>=|contains|startsWith|endsWith)\\s*[a-zA-Z0-9_.\"\\-]+)*$");

    public static Rule buildScreenPopRule(
            String screenPopId,
            String ruleName,
            String conditionExpression,
            boolean focusWindow) {
        
        validateExpressionSyntax(conditionExpression);
        validateScreenPopReference(screenPopId);
        validateWindowFocusDirective(focusWindow);

        Condition condition = new Condition();
        condition.setField("conversation.attribute.customerId");
        condition.setOperator("==");
        condition.setValue(conditionExpression);

        List<Condition> conditions = new ArrayList<>();
        conditions.add(condition);

        Action triggerAction = new Action();
        triggerAction.setActionType("screenPop");
        triggerAction.setScreenPopId(screenPopId);

        List<Action> actions = new ArrayList<>();
        actions.add(triggerAction);

        Rule rule = new Rule();
        rule.setName(ruleName);
        rule.setScreenPopId(screenPopId);
        rule.setConditions(conditions);
        rule.setActions(actions);
        rule.setWindowFocus(focusWindow);
        rule.setEnabled(true);

        return rule;
    }

    private static void validateExpressionSyntax(String expression) {
        if (!EXPRESSION_PATTERN.matcher(expression).matches()) {
            throw new IllegalArgumentException(
                "Invalid expression syntax: " + expression + 
                ". Must follow Assist Engine attribute.operator.value format.");
        }
    }

    private static void validateScreenPopReference(String screenPopId) {
        if (screenPopId == null || !screenPopId.matches("^sp-[a-zA-Z0-9\\-]{8,32}$")) {
            throw new IllegalArgumentException(
                "Invalid screen pop ID format: " + screenPopId);
        }
    }

    private static void validateWindowFocusDirective(boolean focusWindow) {
        if (!focusWindow) {
            throw new IllegalArgumentException(
                "Window focus directive must be true for desktop client alignment.");
        }
    }
}

Validation Pipeline Notes

• Expression syntax checking prevents malformed condition matrices that cause 400 responses from the Assist Engine.
• UI component availability verification is enforced by requiring focusWindow to be true, which ensures the desktop client can render the pop without focus conflicts.
• The pattern matcher validates standard Assist Engine expression syntax before API submission.

Step 3: Atomic Rule Binding and Webhook Synchronization

You will deploy the rule using an atomic PUT operation. The SDK handles JSON serialization. You will wrap the call in a retry mechanism for 429 responses and trigger a webhook callback to synchronize with external desktop client management systems.

import com.mypurecloud.api.client.ApiException;
import com.mypurecloud.api.clients.agentassist.AgentassistApi;
import com.mypurecloud.api.models.Rule;
import java.net.URI;
import java.net.http.HttpClient;
import java.net.http.HttpRequest;
import java.net.http.HttpResponse;
import java.util.concurrent.TimeUnit;

public class RuleDeployer {
    private final AgentassistApi agentassistApi;
    private final HttpClient httpClient;

    public RuleDeployer(AgentassistApi agentassistApi) {
        this.agentassistApi = agentassistApi;
        this.httpClient = HttpClient.newBuilder()
            .connectTimeout(java.time.Duration.ofSeconds(10))
            .build();
    }

    public Rule deployRuleWithRetry(String ruleId, Rule rule, int maxRetries) 
            throws ApiException, Exception {
        
        int attempt = 0;
        while (attempt < maxRetries) {
            try {
                Rule deployedRule = agentassistApi.putAgentassistRule(ruleId, rule);
                triggerWebhookSync(ruleId, deployedRule);
                return deployedRule;
            } catch (ApiException e) {
                attempt++;
                if (e.getCode() == 429 && attempt < maxRetries) {
                    long backoffMs = TimeUnit.SECONDS.toMillis(2L * attempt);
                    Thread.sleep(backoffMs);
                } else {
                    throw e;
                }
            }
        }
        throw new ApiException(429, "Max retries exceeded for 429 rate limit");
    }

    private void triggerWebhookSync(String ruleId, Rule rule) throws Exception {
        String webhookPayload = String.format(
            "{\"ruleId\":\"%s\",\"name\":\"%s\",\"screenPopId\":\"%s\",\"syncTimestamp\":\"%d\"}",
            ruleId, rule.getName(), rule.getScreenPopId(), System.currentTimeMillis());

        HttpRequest request = HttpRequest.newBuilder()
            .uri(URI.create("https://desktop-management.internal/api/v1/webhooks/agentassist/sync"))
            .header("Content-Type", "application/json")
            .header("X-Webhook-Secret", "production-sync-key")
            .POST(HttpRequest.BodyPublishers.ofString(webhookPayload))
            .build();

        HttpResponse<String> response = httpClient.send(request, HttpResponse.BodyHandlers.ofString());
        if (response.statusCode() >= 400) {
            throw new RuntimeException(
                "Webhook sync failed with status " + response.statusCode() + ": " + response.body());
        }
    }
}

HTTP Request/Response Cycle

PUT /api/v2/agentassist/rules/a1b2c3d4-e5f6-7890-abcd-ef1234567890
Authorization: Bearer eyJhbGciOiJSUzI1NiIsInR5cCI6IkpXVCJ9...
Content-Type: application/json

{
  "name": "Customer Lookup Pop",
  "screenPopId": "sp-001",
  "conditions": [
    {
      "field": "conversation.attribute.customerId",
      "operator": "==",
      "value": "CUST-998877"
    }
  ],
  "actions": [
    {
      "actionType": "screenPop",
      "screenPopId": "sp-001"
    }
  ],
  "windowFocus": true,
  "enabled": true
}

200 OK
{
  "id": "a1b2c3d4-e5f6-7890-abcd-ef1234567890",
  "name": "Customer Lookup Pop",
  "screenPopId": "sp-001",
  "conditions": [...],
  "actions": [...],
  "windowFocus": true,
  "enabled": true,
  "selfUri": "/api/v2/agentassist/rules/a1b2c3d4-e5f6-7890-abcd-ef1234567890"
}

Step 4: Latency Tracking, Match Rate Monitoring, and Audit Logging

You will wrap the deployment in a timing context, fetch recent analytics to track match rates, and generate structured audit logs for interface governance.

import com.mypurecloud.api.client.ApiClient;
import com.mypurecloud.api.clients.analytics.AnalyticsApi;
import com.mypurecloud.api.models.QueryResponse;
import java.time.Instant;
import java.util.HashMap;
import java.util.Map;
import java.util.logging.Logger;
import java.util.logging.Level;

public class AssistConfigManager {
    private static final Logger logger = Logger.getLogger(AssistConfigManager.class.getName());
    private final ApiClient apiClient;

    public AssistConfigManager(ApiClient apiClient) {
        this.apiClient = apiClient;
    }

    public Map<String, Object> deployAndAudit(String ruleId, Rule rule) throws Exception {
        Instant start = Instant.now();
        RuleDeployer deployer = new RuleDeployer(new AgentassistApi(apiClient));
        RuleValidator validator = new RuleValidator(apiClient);

        validator.validateRuleCapacity();
        Rule deployed = deployer.deployRuleWithRetry(ruleId, rule, 3);
        Instant end = Instant.now();

        long latencyMs = java.time.Duration.between(start, end).toMillis();
        
        Map<String, Object> auditLog = new HashMap<>();
        auditLog.put("timestamp", Instant.now().toString());
        auditLog.put("operation", "PUT_AGENTASSIST_RULE");
        auditLog.put("ruleId", ruleId);
        auditLog.put("screenPopId", deployed.getScreenPopId());
        auditLog.put("latencyMs", latencyMs);
        auditLog.put("status", "SUCCESS");
        auditLog.put("webhookSynced", true);

        logger.info(() -> "Configuration audit: " + auditLog);
        return auditLog;
    }

    public double fetchCurrentMatchRate() throws Exception {
        AnalyticsApi analyticsApi = new AnalyticsApi(apiClient);
        String query = "{\"dateFrom\":\"2024-01-01T00:00:00Z\",\"dateTo\":\"2024-12-31T23:59:59Z\"," +
                       "\"groupBy\":[\"rule.id\"],\"metrics\":[\"ruleMatches.count\"]}";
        
        QueryResponse response = analyticsApi.postAnalyticsConversationsDetailsQuery(
            query, null, null, null, null, null, null, null, null, null, null, null);
        
        if (response.getEntities() == null || response.getEntities().isEmpty()) return 0.0;
        
        double totalMatches = response.getEntities().stream()
            .mapToDouble(e -> e.getMetrics() != null ? e.getMetrics().get(0).getCount() : 0)
            .sum();
        
        return totalMatches;
    }
}

Complete Working Example

The following class combines authentication, validation, deployment, webhook synchronization, and audit logging into a single executable module. Replace placeholder credentials before execution.

import com.mypurecloud.api.client.ApiClient;
import com.mypurecloud.api.client.auth.oauth.OAuthClientCredentialsProvider;
import com.mypurecloud.api.clients.agentassist.AgentassistApi;
import com.mypurecloud.api.models.Rule;
import java.util.Arrays;
import java.util.Map;

public class AgentAssistScreenPopConfigurator {
    public static void main(String[] args) {
        String environment = "mypurecloud.com";
        String clientId = "YOUR_CLIENT_ID";
        String clientSecret = "YOUR_CLIENT_SECRET";
        String ruleId = "a1b2c3d4-e5f6-7890-abcd-ef1234567890";

        try {
            ApiClient apiClient = new ApiClient();
            OAuthClientCredentialsProvider provider = 
                new OAuthClientCredentialsProvider(apiClient, environment, clientId, clientSecret);
            provider.setScopes(Arrays.asList("agentassist:rule:write", "agentassist:rule:read"));
            apiClient.setAuthProvider(provider);

            Rule rule = RulePayloadBuilder.buildScreenPopRule(
                "sp-customer-crm",
                "CRM Customer Lookup Trigger",
                "CUST-998877",
                true);

            AssistConfigManager manager = new AssistConfigManager(apiClient);
            Map<String, Object> auditResult = manager.deployAndAudit(ruleId, rule);

            System.out.println("Deployment successful. Audit log: " + auditResult);
            System.out.println("Current match rate baseline: " + manager.fetchCurrentMatchRate());

        } catch (Exception e) {
            System.err.println("Configuration failed: " + e.getMessage());
            e.printStackTrace();
        }
    }
}

Common Errors & Debugging

Error: 401 Unauthorized

• Cause: OAuth token expired, invalid client credentials, or missing agentassist:rule:write scope.
• Fix: Verify the client ID and secret. Ensure the OAuth application in the Genesys Cloud admin console has the required scopes enabled. The SDK refreshes tokens automatically, but initial authentication must succeed.
• Code Fix: Reinitialize OAuthClientCredentialsProvider with correct credentials and verify scope array contains agentassist:rule:write.

Error: 400 Bad Request

• Cause: Expression syntax violation, invalid screen pop ID format, or missing required fields in the rule payload.
• Fix: Run the payload through RulePayloadBuilder.validateExpressionSyntax() before submission. Ensure screenPopId matches the sp- prefix pattern. Verify conditions and actions arrays are not empty.
• Code Fix: Add explicit field validation before agentassistApi.putAgentassistRule().

Error: 429 Too Many Requests

• Cause: Exceeded Assist Engine rate limits during rapid rule iteration or bulk configuration.
• Fix: Implement exponential backoff. The deployRuleWithRetry method handles this by sleeping for 2^attempt seconds before retrying.
• Code Fix: Increase maxRetries parameter or reduce concurrent PUT operations. Monitor Retry-After header if returned by the API.

Error: 503 Service Unavailable

• Cause: Assist Engine maintenance or temporary backend degradation.
• Fix: Wait for the service to recover. The SDK does not automatically retry 5xx errors. Implement a circuit breaker pattern for production deployments.
• Code Fix: Wrap the deployment call in a retry loop with jitter for 5xx status codes.

Official References

• Genesys Cloud Agent Assist Rules API Documentation
• Genesys Cloud Java SDK Reference
• OAuth Client Credentials Grant Flow
• Agent Assist Analytics Query Endpoint