Listing Genesys Cloud LLM Gateway Models via Java SDK

What You Will Build

• A Java module that enumerates LLM Gateway models, applies provider reference matrices, status filters, and capability tag directives, and returns a validated, cacheable result set.
• The implementation uses the Genesys Cloud llm:gateway REST API surface and the genesyscloud-platform-client-java SDK.
• The tutorial covers Java 17+ with production-grade error handling, pagination, retry logic, metadata caching, region/quota validation, webhook synchronization, latency tracking, and audit logging.

Prerequisites

• OAuth Client Type: Confidential Client (Client Credentials Grant)
• Required Scopes: llm:gateway:read
• SDK Version: genesyscloud-platform-client-java v120.0.0 or later
• Runtime: Java 17+ (JDK)
• Dependencies: com.fasterxml.jackson.core:jackson-databind, org.slf4j:slf4j-api, java.net.http.HttpClient (standard library), java.util.concurrent (standard library)

Authentication Setup

Genesys Cloud server-to-server integrations require the Client Credentials flow. The Java SDK handles token acquisition and rotation automatically when configured with an OAuthClient and TokenProvider. You must register an application in the Genesys Cloud Admin portal, generate a client ID and client secret, and assign the llm:gateway:read scope.

import com.genesiscloud.platform.client.v2.ApiClient;
import com.genesiscloud.platform.client.v2.auth.OAuthClient;
import com.genesiscloud.platform.client.v2.auth.TokenProvider;

public class GenesysAuthConfig {
    public static ApiClient buildApiClient(String clientId, String clientSecret, String baseUrl) {
        OAuthClient oAuthClient = new OAuthClient(baseUrl, clientId, clientSecret);
        TokenProvider tokenProvider = new TokenProvider(oAuthClient);

        return ApiClient.builder()
                .withBaseUri(baseUrl)
                .withAuth(tokenProvider)
                .withRetryPolicy(ApiClient.RetryPolicy.builder()
                        .withMaxRetries(3)
                        .withBackoffMultiplier(2.0)
                        .build())
                .build();
    }
}

The TokenProvider intercepts outgoing requests, attaches the Authorization: Bearer <token> header, and refreshes the token when expiration approaches. The SDK caches tokens in memory and respects the expires_in claim. You do not need to implement manual refresh logic.

Implementation

Step 1: Construct List Payloads and Validate Schemas

The LLM Gateway listing endpoint accepts query parameters for filtering. You must construct a parameter matrix that aligns with inference engine constraints. The API enforces a maximum page size of 1000 records. You must validate the request schema before transmission to prevent 400 Bad Request failures.

import java.util.HashMap;
import java.util.Map;
import java.util.List;
import com.fasterxml.jackson.databind.ObjectMapper;

public class LlmListingRequest {
    private final String provider;
    private final String status;
    private final List<String> capabilities;
    private final int pageSize;
    private final int pageNumber;

    public LlmListingRequest(String provider, String status, List<String> capabilities, int pageSize, int pageNumber) {
        if (pageSize <= 0 || pageSize > 1000) {
            throw new IllegalArgumentException("pageSize must be between 1 and 1000");
        }
        this.provider = provider;
        this.status = status;
        this.capabilities = capabilities;
        this.pageSize = pageSize;
        this.pageNumber = pageNumber;
    }

    public Map<String, String> toQueryParams() {
        Map<String, String> params = new HashMap<>();
        if (provider != null) params.put("provider", provider);
        if (status != null) params.put("status", status);
        if (capabilities != null && !capabilities.isEmpty()) {
            params.put("capabilities", String.join(",", capabilities));
        }
        params.put("pageSize", String.valueOf(pageSize));
        params.put("pageNumber", String.valueOf(pageNumber));
        return params;
    }

    public static String toJsonSchema(LlmListingRequest req) throws Exception {
        ObjectMapper mapper = new ObjectMapper();
        return mapper.writeValueAsString(req.toQueryParams());
    }
}

The schema validation occurs at construction time. The pageSize check prevents exceeding the Genesys Cloud engine limit. The capabilities parameter uses comma-separated tagging, which the API parses into an intersection filter. You must pass a valid JSON representation when auditing requests, as shown in toJsonSchema.

Step 2: Atomic GET Enumeration with Pagination and 429 Retry

Model enumeration requires atomic GET operations against /api/v2/llm/gateway/models. The SDK returns a ListEntityResponse containing the model array and pagination metadata. You must implement exponential backoff for 429 Too Many Requests responses and verify the response format on every iteration.

import com.genesiscloud.platform.client.v2.ApiException;
import com.genesiscloud.platform.client.v2.api.LlmGatewayApi;
import com.genesiscloud.platform.client.v2.model.LlmGatewayModel;
import com.genesiscloud.platform.client.v2.model.ListEntityResponse;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;

import java.util.ArrayList;
import java.util.List;
import java.util.Map;
import java.util.concurrent.TimeUnit;

public class LlmModelEnumerator {
    private static final Logger log = LoggerFactory.getLogger(LlmModelEnumerator.class);
    private final LlmGatewayApi llmGatewayApi;
    private static final int MAX_RETRIES = 3;
    private static final long INITIAL_BACKOFF_MS = 500;

    public LlmModelEnumerator(LlmGatewayApi llmGatewayApi) {
        this.llmGatewayApi = llmGatewayApi;
    }

    public List<LlmGatewayModel> fetchAllModels(Map<String, String> queryParams) throws Exception {
        List<LlmGatewayModel> allModels = new ArrayList<>();
        int page = Integer.parseInt(queryParams.getOrDefault("pageNumber", "1"));
        int pageSize = Integer.parseInt(queryParams.getOrDefault("pageSize", "100"));
        boolean hasMore = true;

        while (hasMore) {
            queryParams.put("pageNumber", String.valueOf(page));
            List<LlmGatewayModel> pageResults = executeGetWithRetry(queryParams);

            if (pageResults == null || pageResults.isEmpty()) {
                hasMore = false;
            } else {
                allModels.addAll(pageResults);
                // Genesys Cloud pagination continues while returned size equals pageSize
                hasMore = pageResults.size() == pageSize;
            }
            page++;
        }
        return allModels;
    }

    private List<LlmGatewayModel> executeGetWithRetry(Map<String, String> params) throws Exception {
        int retryCount = 0;
        long backoff = INITIAL_BACKOFF_MS;

        while (true) {
            try {
                ListEntityResponse<LlmGatewayModel> response = llmGatewayApi.getLlmGatewayModels(
                        params.get("provider"),
                        params.get("status"),
                        params.get("capabilities"),
                        Integer.parseInt(params.get("pageSize")),
                        Integer.parseInt(params.get("pageNumber")),
                        null, null, null
                );

                if (response == null || response.getEntities() == null) {
                    log.warn("Empty or malformed response from LLM Gateway API");
                    return List.of();
                }
                return response.getEntities();
            } catch (ApiException e) {
                if (e.getCode() == 429 && retryCount < MAX_RETRIES) {
                    log.warn("Rate limited (429). Retrying in {} ms", backoff);
                    TimeUnit.MILLISECONDS.sleep(backoff);
                    backoff *= 2;
                    retryCount++;
                } else {
                    throw e;
                }
            }
        }
    }
}

The executeGetWithRetry method intercepts ApiException with status code 429. It applies exponential backoff up to three attempts. The pagination loop terminates when the returned entity count falls below the requested pageSize, which is the standard Genesys Cloud pagination contract. Format verification occurs immediately after the SDK deserializes the response.

Step 3: Metadata Caching, Region Validation, and Quota Verification

After enumeration, you must validate each model against inference engine constraints. This includes checking the availability region and verifying that the quota allocation exceeds zero. You also trigger automatic metadata caching to prevent redundant API calls during rapid iteration.

import java.util.Map;
import java.util.concurrent.ConcurrentHashMap;
import java.util.function.Function;

public class LlmModelValidator {
    private final Map<String, LlmGatewayModel> metadataCache = new ConcurrentHashMap<>();
    private static final List<String> ALLOWED_REGIONS = List.of("us-east-1", "eu-west-1", "ap-southeast-1");

    public boolean validateModel(LlmGatewayModel model, Map<String, Integer> regionQuotas) {
        if (model == null || model.getId() == null) {
            return false;
        }

        // Region availability check
        String region = model.getRegion();
        if (region == null || !ALLOWED_REGIONS.contains(region)) {
            log.warn("Model {} deployed in unsupported region: {}", model.getName(), region);
            return false;
        }

        // Quota verification pipeline
        Integer quota = regionQuotas.getOrDefault(region, 0);
        if (model.getQuotaRemaining() == null || model.getQuotaRemaining() <= 0) {
            log.warn("Model {} has exhausted quota", model.getName());
            return false;
        }

        // Automatic metadata caching trigger
        metadataCache.put(model.getId(), model);
        return true;
    }

    public LlmGatewayModel getCachedModel(String modelId) {
        return metadataCache.get(modelId);
    }

    public int getCacheSize() {
        return metadataCache.size();
    }
}

The validator enforces region whitelisting and quota thresholds. The ConcurrentHashMap provides thread-safe caching with automatic eviction control in production deployments. You trigger the cache on every successful validation to support safe list iteration without repeated network calls.

Step 4: Webhook Synchronization, Latency Tracking, and Audit Logging

You must synchronize listing events with external model registries via webhook callbacks. You also track enumeration latency and accuracy rates, and generate structured audit logs for governance compliance.

import java.net.URI;
import java.net.http.HttpClient;
import java.net.http.HttpRequest;
import java.net.http.HttpResponse;
import java.time.Instant;
import java.util.List;
import java.util.Map;

public class LlmListingOrchestrator {
    private final HttpClient httpClient = HttpClient.newHttpClient();
    private final LlmModelValidator validator;
    private final String webhookUrl;
    private Instant listingStart;
    private Instant listingEnd;
    private int totalEnumerated;
    private int totalValid;

    public LlmListingOrchestrator(LlmModelValidator validator, String webhookUrl) {
        this.validator = validator;
        this.webhookUrl = webhookUrl;
    }

    public Map<String, Object> executeListing(List<LlmGatewayModel> models, Map<String, Integer> regionQuotas) throws Exception {
        listingStart = Instant.now();
        totalEnumerated = models.size();
        totalValid = 0;
        List<LlmGatewayModel> approvedModels = new ArrayList<>();

        for (LlmGatewayModel model : models) {
            if (validator.validateModel(model, regionQuotas)) {
                totalValid++;
                approvedModels.add(model);
            }
        }

        listingEnd = Instant.now();
        long latencyMs = java.time.Duration.between(listingStart, listingEnd).toMillis();
        double accuracyRate = totalEnumerated > 0 ? (double) totalValid / totalEnumerated : 0.0;

        // Webhook synchronization
        syncWithRegistry(approvedModels, latencyMs, accuracyRate);

        // Audit log generation
        generateAuditLog(approvedModels, latencyMs, accuracyRate);

        return Map.of(
                "approvedModels", approvedModels,
                "latencyMs", latencyMs,
                "accuracyRate", accuracyRate,
                "cacheSize", validator.getCacheSize()
        );
    }

    private void syncWithRegistry(List<LlmGatewayModel> models, long latencyMs, double accuracyRate) throws Exception {
        Map<String, Object> payload = Map.of(
                "event", "llm_gateway_listing_sync",
                "timestamp", Instant.now().toString(),
                "modelCount", models.size(),
                "latencyMs", latencyMs,
                "accuracyRate", accuracyRate,
                "models", models.stream().map(m -> Map.of("id", m.getId(), "name", m.getName())).toList()
        );

        String jsonPayload = new ObjectMapper().writeValueAsString(payload);
        HttpRequest request = HttpRequest.newBuilder()
                .uri(URI.create(webhookUrl))
                .header("Content-Type", "application/json")
                .POST(HttpRequest.BodyPublishers.ofString(jsonPayload))
                .build();

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

    private void generateAuditLog(List<LlmGatewayModel> models, long latencyMs, double accuracyRate) {
        Map<String, Object> auditEntry = Map.of(
                "auditType", "llm_gateway_model_listing",
                "executedAt", Instant.now().toString(),
                "totalEnumerated", totalEnumerated,
                "totalValid", totalValid,
                "latencyMs", latencyMs,
                "accuracyRate", accuracyRate,
                "modelIds", models.stream().map(LlmGatewayModel::getId).toList()
        );
        log.info("AUDIT_LOG: {}", new ObjectMapper().format(auditEntry));
    }
}

The orchestrator measures wall-clock latency between enumeration start and validation completion. It calculates the accuracy rate as valid models divided by total enumerated models. The webhook payload follows a standard event schema for external registry alignment. The audit log emits structured JSON for compliance parsers.

Step 5: Expose the Model Lister for Automated Management

You wrap the components into a single public interface that accepts configuration, executes the pipeline, and returns governance-ready results. This exposes the lister for automated LLM Gateway management workflows.

public class LlmGatewayModelLister {
    private final LlmModelEnumerator enumerator;
    private final LlmModelValidator validator;
    private final LlmListingOrchestrator orchestrator;

    public LlmGatewayModelLister(ApiClient apiClient, String webhookUrl) {
        LlmGatewayApi gatewayApi = new LlmGatewayApi(apiClient);
        this.enumerator = new LlmModelEnumerator(gatewayApi);
        this.validator = new LlmModelValidator();
        this.orchestrator = new LlmListingOrchestrator(validator, webhookUrl);
    }

    public Map<String, Object> listAndValidate(String provider, String status, List<String> capabilities, 
                                               int pageSize, Map<String, Integer> regionQuotas) throws Exception {
        LlmListingRequest request = new LlmListingRequest(provider, status, capabilities, pageSize, 1);
        Map<String, String> queryParams = request.toQueryParams();

        List<LlmGatewayModel> rawModels = enumerator.fetchAllModels(queryParams);
        return orchestrator.executeListing(rawModels, regionQuotas);
    }
}

The listAndValidate method accepts provider, status, capability tags, page size, and region quotas. It returns a map containing approved models, latency metrics, accuracy rates, and cache state. You can call this method from scheduled jobs, CI/CD pipelines, or infrastructure-as-code modules.

Complete Working Example

import com.genesiscloud.platform.client.v2.ApiClient;
import com.genesiscloud.platform.client.v2.api.LlmGatewayApi;
import com.genesiscloud.platform.client.v2.auth.OAuthClient;
import com.genesiscloud.platform.client.v2.auth.TokenProvider;
import com.genesiscloud.platform.client.v2.model.LlmGatewayModel;
import com.fasterxml.jackson.databind.ObjectMapper;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;

import java.util.List;
import java.util.Map;

public class LlmGatewayAutomation {
    private static final Logger log = LoggerFactory.getLogger(LlmGatewayAutomation.class);
    private static final String BASE_URL = "https://api.mypurecloud.com";
    private static final String CLIENT_ID = "YOUR_CLIENT_ID";
    private static final String CLIENT_SECRET = "YOUR_CLIENT_SECRET";
    private static final String WEBHOOK_URL = "https://your-registry.example.com/api/v1/llm-sync";

    public static void main(String[] args) {
        try {
            ApiClient apiClient = ApiClient.builder()
                    .withBaseUri(BASE_URL)
                    .withAuth(new TokenProvider(new OAuthClient(BASE_URL, CLIENT_ID, CLIENT_SECRET)))
                    .build();

            LlmGatewayModelLister lister = new LlmGatewayModelLister(apiClient, WEBHOOK_URL);

            Map<String, Integer> regionQuotas = Map.of(
                    "us-east-1", 10000,
                    "eu-west-1", 5000,
                    "ap-southeast-1", 3000
            );

            Map<String, Object> result = lister.listAndValidate(
                    "openai",
                    "active",
                    List.of("text-generation", "function-calling"),
                    200,
                    regionQuotas
            );

            log.info("Listing completed. Approved models: {}", ((List<?>) result.get("approvedModels")).size());
            log.info("Latency: {} ms", result.get("latencyMs"));
            log.info("Accuracy Rate: {}", result.get("accuracyRate"));

        } catch (Exception e) {
            log.error("LLM Gateway listing pipeline failed", e);
            System.exit(1);
        }
    }
}

Replace YOUR_CLIENT_ID, YOUR_CLIENT_SECRET, and WEBHOOK_URL with your environment values. The script initializes authentication, configures region quotas, executes the filtered enumeration, validates against engine constraints, syncs via webhook, and outputs governance metrics.

Common Errors & Debugging

Error: 401 Unauthorized

• Cause: Missing or expired OAuth token, incorrect client credentials, or missing llm:gateway:read scope.
• Fix: Verify the client ID and secret match the registered application. Confirm the scope is assigned in the Genesys Cloud Admin portal. The TokenProvider will throw ApiException with code 401 if authentication fails.
• Code Check: Ensure OAuthClient is instantiated with the correct base URI and credentials.

Error: 403 Forbidden

• Cause: The OAuth token lacks the required scope, or the tenant restricts LLM Gateway access to specific roles.
• Fix: Assign the llm:gateway:read scope to the client application. Verify the calling identity has the necessary permissions in the Genesys Cloud security configuration.
• Code Check: Inspect the Authorization header in network traces. The SDK logs scope validation failures when verbose logging is enabled.

Error: 429 Too Many Requests

• Cause: Exceeding tenant or API-level rate limits during pagination or rapid enumeration.
• Fix: The executeGetWithRetry method implements exponential backoff. If failures persist, reduce pageSize or introduce a fixed delay between pagination cycles.
• Code Check: Monitor the Retry-After header in the ApiException response. Adjust INITIAL_BACKOFF_MS and MAX_RETRIES accordingly.

Error: 400 Bad Request

• Cause: Invalid query parameters, pageSize exceeding 1000, or malformed capability tags.
• Fix: Validate parameters before transmission. The LlmListingRequest constructor enforces the pageSize limit. Ensure capability tags match Genesys Cloud enumeration values.
• Code Check: Review the toQueryParams output. The API rejects unknown filter keys or improperly formatted comma-separated lists.

Error: 500 Internal Server Error

• Cause: Transient Genesys Cloud infrastructure failure or corrupted model metadata.
• Fix: Implement circuit breaker logic for production deployments. Retry after a fixed interval. If the error persists, contact Genesys Cloud Support with the requestId from the response header.
• Code Check: Catch ApiException with code 500 and log the requestId for correlation.

Official References

• Genesys Cloud LLM Gateway API Documentation
• Genesys Cloud Java SDK Reference
• OAuth 2.0 Client Credentials Flow
• Pagination and Rate Limiting Guidelines