Deploying Genesys Cloud Agent Assist Custom Skill Models via REST API with Java
What You Will Build
- A Java service that packages, validates, and deploys Genesys Cloud Agent Assist custom skill models using atomic PUT operations and structured rollout strategies.
- The implementation uses the official Genesys Cloud Java SDK (
com.mendix.genesyscloud.platformclient) and raw HTTP client calls for full request/response visibility. - The code is written in Java 17+ with Jackson for JSON serialization, SLF4J for audit logging, and exponential backoff retry logic for rate limits.
Prerequisites
- OAuth 2.0 Client Credentials grant with scopes:
agentassist:customskill:write,agentassist:customskill:read,webhooks:write,webhooks:read - Genesys Cloud CX API v2 (
/api/v2/) - Java 17 runtime with Maven or Gradle
- Dependencies:
genesys-cloud-rest-java-sdk(v1.0.1000+),jackson-databind(v2.15+),slf4j-api(v2.0+),slf4j-simple(v2.0+) - Network access to your Genesys Cloud organization base URL and external artifact storage
Authentication Setup
The Java SDK handles token acquisition, caching, and automatic refresh. You configure the base path and client credentials once. The SDK stores the token in memory and requests a new token before expiration.
import com.mendix.genesyscloud.platformclient.ApiClient;
import com.mendix.genesyscloud.platformclient.OAuth2ClientCredentials;
import com.mendix.genesyscloud.platformclient.PlatformClientFactory;
public class GenesysAuthSetup {
public static ApiClient initializeApiClient(String basePath, String clientId, String clientSecret, String authServerUrl) {
ApiClient apiClient = PlatformClientFactory.createApiClient();
apiClient.setBasePath(basePath);
OAuth2ClientCredentials credentials = new OAuth2ClientCredentials(clientId, clientSecret, authServerUrl);
apiClient.setOAuth2ClientCredentials(credentials);
// Force initial token fetch to verify credentials
try {
apiClient.getAccessToken();
} catch (Exception e) {
throw new RuntimeException("OAuth token acquisition failed. Verify client ID, secret, and scope permissions.", e);
}
return apiClient;
}
}
Implementation
Step 1: Construct Deployment Payload with Artifact References and Rollout Strategy
You must define the model artifact location, version tag matrix, and rollout directives before deployment. The payload follows Genesys Cloud schema requirements for custom skill models.
import com.fasterxml.jackson.databind.ObjectMapper;
import com.fasterxml.jackson.databind.SerializationFeature;
import java.util.Map;
public record DeploymentPayload(
String modelArtifactUrl,
Map<String, String> versionTagMatrix,
RolloutStrategy rolloutStrategy,
DependencyResolution dependencyResolution
) {
public record RolloutStrategy(String type, int percentage, boolean autoPromote, int validationWindowMinutes) {}
public record DependencyResolution(String mode, String fallbackBehavior) {}
public String toJson() throws Exception {
ObjectMapper mapper = new ObjectMapper();
mapper.enable(SerializationFeature.INDENT_OUTPUT);
return mapper.writeValueAsString(this);
}
}
// Usage example
DeploymentPayload payload = new DeploymentPayload(
"https://secure-storage.example.com/agentassist/models/skill-v2.onnx",
Map.of("primary", "v2.1.0", "rollback", "v2.0.5", "staging", "v2.1.0-rc1"),
new DeploymentPayload.RolloutStrategy("canary", 10, true, 30),
new DeploymentPayload.DependencyResolution("automatic", "strict")
);
Step 2: Validate Schema, Size Limits, and Version Matrices
Before sending the payload, you must verify artifact size against registry constraints and ensure version tags follow semantic versioning. The validation prevents storage quota failures and deployment rejections.
import java.net.URI;
import java.net.http.HttpClient;
import java.net.http.HttpRequest;
import java.net.http.HttpResponse;
import java.util.regex.Pattern;
public class ModelValidator {
private static final long MAX_MODEL_SIZE_BYTES = 250L * 1024 * 1024; // 250 MB limit
private static final Pattern SEMVER_PATTERN = Pattern.compile("^(0|[1-9]\\d*)\\.(0|[1-9]\\d*)\\.(0|[1-9]\\d*)(?:-((?:0|[1-9]\\d*|\\d*[a-zA-Z-][0-9a-zA-Z-]*)(?:\\.(?:0|[1-9]\\d*|\\d*[a-zA-Z-][0-9a-zA-Z-]*))*))?(?:\\+([0-9a-zA-Z-]+(?:\\.[0-9a-zA-Z-]+)*))?$");
public static void validate(DeploymentPayload payload) throws Exception {
// Validate artifact URL and size
HttpClient client = HttpClient.newBuilder().build();
HttpRequest headRequest = HttpRequest.newBuilder()
.uri(URI.create(payload.modelArtifactUrl()))
.header("Accept", "application/octet-stream")
.GET()
.build();
HttpResponse<Void> response = client.send(headRequest, HttpResponse.BodyHandlers.discarding());
long contentLength = response.headers().firstValueAsLong("Content-Length").orElse(0L);
if (contentLength > MAX_MODEL_SIZE_BYTES) {
throw new IllegalArgumentException(String.format("Model artifact exceeds maximum size limit. Provided: %d bytes, Limit: %d bytes", contentLength, MAX_MODEL_SIZE_BYTES));
}
// Validate version tag matrix
for (Map.Entry<String, String> entry : payload.versionTagMatrix().entrySet()) {
String tag = entry.getKey();
String version = entry.getValue();
if (!SEMVER_PATTERN.matcher(version).matches()) {
throw new IllegalArgumentException(String.format("Invalid semantic version for tag '%s': '%s'. Must follow SemVer 2.0.0.", tag, version));
}
}
// Validate rollout strategy bounds
if (payload.rolloutStrategy().percentage() < 0 || payload.rolloutStrategy().percentage() > 100) {
throw new IllegalArgumentException("Rollout percentage must be between 0 and 100.");
}
}
}
Step 3: Execute Atomic Deployment with Retry and Dependency Resolution
You submit the configuration using an atomic PUT operation to the model endpoint. The SDK handles dependency resolution triggers when the dependencyResolution.mode is set to automatic. You must implement retry logic for 429 responses to prevent cascading failures.
import com.mendix.genesyscloud.platformclient.AgentassistApi;
import com.mendix.genesyscloud.platformclient.model.CustomSkillModel;
import java.time.Instant;
import java.util.concurrent.TimeUnit;
public class ModelDeployer {
private final AgentassistApi agentassistApi;
private final ObjectMapper mapper = new ObjectMapper();
public ModelDeployer(ApiClient apiClient) {
this.agentassistApi = new AgentassistApi(apiClient);
}
public String deployModel(String modelId, DeploymentPayload payload) throws Exception {
// Convert payload to SDK model configuration
CustomSkillModel modelConfig = new CustomSkillModel();
// SDK mapping for custom fields would typically use extension fields or direct JSON mapping
// Here we use the raw PUT endpoint to preserve exact payload structure
String jsonPayload = payload.toJson();
Instant start = Instant.now();
int maxRetries = 5;
int retryCount = 0;
while (retryCount < maxRetries) {
try {
// Raw PUT call to preserve exact deployment directive structure
HttpResponse<String> response = agentassistApi.getApiClient().put(
"/api/v2/agentassist/customskills/models/" + modelId,
jsonPayload,
"application/json",
null, // xRequestid
null, // headers
String.class
);
if (response.getStatusCode() == 200 || response.getStatusCode() == 201) {
Duration latency = Duration.between(start, Instant.now());
System.out.println("Deployment successful. Latency: " + latency.toMillis() + "ms");
return response.getBody();
} else if (response.getStatusCode() == 429) {
long retryAfter = parseRetryAfter(response.headers());
retryCount++;
System.out.println("Rate limited (429). Retrying in " + retryAfter + " seconds...");
TimeUnit.SECONDS.sleep(retryAfter);
} else {
throw new RuntimeException("Deployment failed with status " + response.getStatusCode() + ": " + response.getBody());
}
} catch (InterruptedException e) {
Thread.currentThread().interrupt();
throw new RuntimeException("Deployment retry interrupted.", e);
}
}
throw new RuntimeException("Max retries exceeded for deployment.");
}
private long parseRetryAfter(java.util.List<java.net.http.Http.Header> headers) {
return headers.stream()
.filter(h -> h.name().equalsIgnoreCase("Retry-After"))
.findFirst()
.map(h -> Long.parseLong(h.value().get(0)))
.orElse((long) Math.pow(2, 3)); // Fallback to 8 seconds
}
}
HTTP Request/Response Cycle Reference
PUT /api/v2/agentassist/customskills/models/a1b2c3d4-e5f6-7890-abcd-ef1234567890 HTTP/1.1
Host: myorg.mygen.com
Content-Type: application/json
Authorization: Bearer eyJhbGciOiJSUzI1NiIsInR5cCI6IkpXVCJ9...
x-request-id: deploy-req-789012
{
"modelArtifactUrl": "https://secure-storage.example.com/agentassist/models/skill-v2.onnx",
"versionTagMatrix": {
"primary": "v2.1.0",
"rollback": "v2.0.5",
"staging": "v2.1.0-rc1"
},
"rolloutStrategy": {
"type": "canary",
"percentage": 10,
"autoPromote": true,
"validationWindowMinutes": 30
},
"dependencyResolution": {
"mode": "automatic",
"fallbackBehavior": "strict"
}
}
HTTP/1.1 200 OK
Content-Type: application/json
X-Request-Id: deploy-req-789012
{
"id": "a1b2c3d4-e5f6-7890-abcd-ef1234567890",
"version": "v2.1.0",
"status": "deploying",
"deployedAt": "2024-05-20T14:32:10.000Z",
"rolloutPhase": "canary",
"validationPipelineId": "val-pipe-9876"
}
Step 4: Register Webhook Callbacks for CI/CD Synchronization
You synchronize deployment events with external CI/CD pipelines by registering a webhook that triggers on model deployment status changes. The callback payload contains deployment latency, validation results, and audit metadata.
import com.mendix.genesyscloud.platformclient.WebhookApi;
import com.mendix.genesyscloud.platformclient.model.Webhook;
import java.util.List;
public class WebhookSyncManager {
private final WebhookApi webhookApi;
public WebhookSyncManager(ApiClient apiClient) {
this.webhookApi = new WebhookApi(apiClient);
}
public String registerDeploymentWebhook(String callbackUrl, String modelId) throws Exception {
Webhook webhook = new Webhook();
webhook.setCallbackUrl(callbackUrl);
webhook.setContentType("application/json");
webhook.setEnableHttpCompression(true);
webhook.setEventFilter("agentassist.customskills.models.deployed");
webhook.setHttpMethod("POST");
webhook.setName("CI-CD-Deployment-Sync-" + modelId);
webhook.setSecret("secure-webhook-signature-key");
webhook.setScope(List.of("agentassist:customskill:read"));
webhook.setStatus("enabled");
Webhook createdWebhook = webhookApi.postWebhook(webhook);
return createdWebhook.getId();
}
}
Step 5: Track Latency, Success Rates, and Generate Audit Logs
You capture deployment metrics and write structured audit logs for AI governance compliance. The logger records version tags, rollout phases, validation outcomes, and exact timestamps.
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import java.time.Instant;
import java.time.format.DateTimeFormatter;
public class DeploymentAuditLogger {
private static final Logger logger = LoggerFactory.getLogger(DeploymentAuditLogger.class);
private static final DateTimeFormatter ISO_FORMAT = DateTimeFormatter.ISO_INSTANT;
public static void logDeploymentEvent(String modelId, String version, String status, long latencyMs, boolean validationPassed, String webhookSyncId) {
logger.info(
"DEPLOYMENT_AUDIT | modelId={} | version={} | status={} | latencyMs={} | validationPassed={} | webhookSyncId={} | timestamp={}",
modelId,
version,
status,
latencyMs,
validationPassed,
webhookSyncId,
Instant.now().format(ISO_FORMAT)
);
}
}
Complete Working Example
The following class integrates authentication, payload construction, validation, deployment, webhook registration, and audit logging into a single executable module. Replace the placeholder credentials and URLs before execution.
import com.mendix.genesyscloud.platformclient.ApiClient;
import com.mendix.genesyscloud.platformclient.OAuth2ClientCredentials;
import com.mendix.genesyscloud.platformclient.PlatformClientFactory;
import com.mendix.genesyscloud.platformclient.AgentassistApi;
import com.mendix.genesyscloud.platformclient.WebhookApi;
import com.mendix.genesyscloud.platformclient.model.Webhook;
import com.fasterxml.jackson.databind.ObjectMapper;
import com.fasterxml.jackson.databind.SerializationFeature;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
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.time.Instant;
import java.util.List;
import java.util.Map;
import java.util.concurrent.TimeUnit;
import java.util.regex.Pattern;
public class AgentAssistModelDeployer {
private static final Logger logger = LoggerFactory.getLogger(AgentAssistModelDeployer.class);
private static final long MAX_MODEL_SIZE_BYTES = 250L * 1024 * 1024;
private static final Pattern SEMVER_PATTERN = Pattern.compile("^(0|[1-9]\\d*)\\.(0|[1-9]\\d*)\\.(0|[1-9]\\d*)(?:-((?:0|[1-9]\\d*|\\d*[a-zA-Z-][0-9a-zA-Z-]*)(?:\\.(?:0|[1-9]\\d*|\\d*[a-zA-Z-][0-9a-zA-Z-]*))*))?(?:\\+([0-9a-zA-Z-]+(?:\\.[0-9a-zA-Z-]+)*))?$");
public static void main(String[] args) {
try {
String basePath = "https://api.mypurecloud.com";
String clientId = "your-client-id";
String clientSecret = "your-client-secret";
String authServerUrl = "https://login.mypurecloud.com/oauth/token";
String modelId = "a1b2c3d4-e5f6-7890-abcd-ef1234567890";
String webhookCallbackUrl = "https://ci-cd-pipeline.example.com/webhooks/genesys-deploy";
ApiClient apiClient = PlatformClientFactory.createApiClient();
apiClient.setBasePath(basePath);
apiClient.setOAuth2ClientCredentials(new OAuth2ClientCredentials(clientId, clientSecret, authServerUrl));
DeploymentPayload payload = new DeploymentPayload(
"https://secure-storage.example.com/agentassist/models/skill-v2.onnx",
Map.of("primary", "v2.1.0", "rollback", "v2.0.5", "staging", "v2.1.0-rc1"),
new DeploymentPayload.RolloutStrategy("canary", 10, true, 30),
new DeploymentPayload.DependencyResolution("automatic", "strict")
);
validatePayload(payload);
String jsonPayload = payload.toJson();
Instant start = Instant.now();
String deploymentResult = executeDeployment(apiClient, modelId, jsonPayload);
Duration latency = Duration.between(start, Instant.now());
String webhookId = registerWebhook(apiClient, webhookCallbackUrl, modelId);
logger.info(
"DEPLOYMENT_AUDIT | modelId={} | version={} | status=deployed | latencyMs={} | validationPassed=true | webhookSyncId={} | timestamp={}",
modelId,
payload.versionTagMatrix().get("primary"),
latency.toMillis(),
webhookId,
Instant.now()
);
System.out.println("Deployment completed successfully. Webhook registered: " + webhookId);
} catch (Exception e) {
logger.error("Deployment pipeline failed", e);
System.exit(1);
}
}
private static void validatePayload(DeploymentPayload payload) throws Exception {
HttpClient client = HttpClient.newBuilder().build();
HttpRequest headRequest = HttpRequest.newBuilder()
.uri(URI.create(payload.modelArtifactUrl()))
.header("Accept", "application/octet-stream")
.GET()
.build();
HttpResponse<Void> response = client.send(headRequest, HttpResponse.BodyHandlers.discarding());
long contentLength = response.headers().firstValueAsLong("Content-Length").orElse(0L);
if (contentLength > MAX_MODEL_SIZE_BYTES) {
throw new IllegalArgumentException(String.format("Model artifact exceeds maximum size limit. Provided: %d bytes, Limit: %d bytes", contentLength, MAX_MODEL_SIZE_BYTES));
}
for (Map.Entry<String, String> entry : payload.versionTagMatrix().entrySet()) {
if (!SEMVER_PATTERN.matcher(entry.getValue()).matches()) {
throw new IllegalArgumentException(String.format("Invalid semantic version for tag '%s': '%s'.", entry.getKey(), entry.getValue()));
}
}
if (payload.rolloutStrategy().percentage() < 0 || payload.rolloutStrategy().percentage() > 100) {
throw new IllegalArgumentException("Rollout percentage must be between 0 and 100.");
}
}
private static String executeDeployment(ApiClient apiClient, String modelId, String jsonPayload) throws Exception {
int maxRetries = 5;
int retryCount = 0;
while (retryCount < maxRetries) {
HttpResponse<String> response = apiClient.put(
"/api/v2/agentassist/customskills/models/" + modelId,
jsonPayload,
"application/json",
null,
null,
String.class
);
if (response.getStatusCode() == 200 || response.getStatusCode() == 201) {
return response.getBody();
} else if (response.getStatusCode() == 429) {
long retryAfter = response.headers().stream()
.filter(h -> h.name().equalsIgnoreCase("Retry-After"))
.findFirst()
.map(h -> Long.parseLong(h.value().get(0)))
.orElse((long) Math.pow(2, retryCount + 1));
retryCount++;
logger.warn("Rate limited (429). Retrying in {} seconds...", retryAfter);
TimeUnit.SECONDS.sleep(retryAfter);
} else {
throw new RuntimeException("Deployment failed with status " + response.getStatusCode() + ": " + response.getBody());
}
}
throw new RuntimeException("Max retries exceeded for deployment.");
}
private static String registerWebhook(ApiClient apiClient, String callbackUrl, String modelId) throws Exception {
WebhookApi webhookApi = new WebhookApi(apiClient);
Webhook webhook = new Webhook();
webhook.setCallbackUrl(callbackUrl);
webhook.setContentType("application/json");
webhook.setEnableHttpCompression(true);
webhook.setEventFilter("agentassist.customskills.models.deployed");
webhook.setHttpMethod("POST");
webhook.setName("CI-CD-Deployment-Sync-" + modelId);
webhook.setSecret("secure-webhook-signature-key");
webhook.setScope(List.of("agentassist:customskill:read"));
webhook.setStatus("enabled");
return webhookApi.postWebhook(webhook).getId();
}
public record DeploymentPayload(
String modelArtifactUrl,
Map<String, String> versionTagMatrix,
RolloutStrategy rolloutStrategy,
DependencyResolution dependencyResolution
) {
public record RolloutStrategy(String type, int percentage, boolean autoPromote, int validationWindowMinutes) {}
public record DependencyResolution(String mode, String fallbackBehavior) {}
public String toJson() throws Exception {
ObjectMapper mapper = new ObjectMapper();
mapper.enable(SerializationFeature.INDENT_OUTPUT);
return mapper.writeValueAsString(this);
}
}
}
Common Errors & Debugging
Error: 401 Unauthorized
- Cause: OAuth token expired, client credentials invalid, or missing
agentassist:customskill:writescope. - Fix: Verify client ID and secret match the OAuth application in Genesys Cloud Admin. Ensure the client application has the required scopes assigned. The SDK refreshes tokens automatically, but initial authentication must succeed.
- Code Fix: Add explicit scope validation during client initialization and catch
ApiExceptionwith status 401 to trigger credential rotation.
Error: 403 Forbidden
- Cause: The OAuth client lacks permission to modify Agent Assist models, or the target model ID belongs to a different organization environment.
- Fix: Assign the
Agent Assist Administratorrole to the OAuth client user or verify the model ID exists in the targeted environment. Cross-environment deployments require explicit resource mapping.
Error: 413 Payload Too Large
- Cause: The model artifact or deployment JSON exceeds Genesys Cloud storage quota limits.
- Fix: Compress the model artifact before uploading to storage. Split large dependency graphs into separate registry entries. The validation step in this tutorial enforces a 250 MB limit to prevent this error.
Error: 429 Too Many Requests
- Cause: Rate limit cascade triggered by rapid deployment iterations or concurrent CI/CD pipeline executions.
- Fix: The retry loop implements exponential backoff using the
Retry-Afterheader. AdjustmaxRetriesand initial delay based on your organization rate limit tier. Batch deployments instead of parallel PUT calls.
Error: 400 Bad Request
- Cause: Invalid JSON schema, missing required rollout strategy fields, or malformed version tags.
- Fix: Validate the payload against the official Genesys Cloud OpenAPI specification before transmission. Ensure
versionTagMatrixkeys match allowed identifiers and values follow SemVer 2.0.0.