Adjusting Genesys Cloud Task Router Worker Capacity via Node.js
What You Will Build
- A Node.js module that programmatically adjusts worker capacity limits for Task Router queues and users, validates scaling thresholds, executes atomic PUT operations, and logs audit trails.
- This tutorial uses the Genesys Cloud Routing API (
/api/v2/routing/queuesand/api/v2/routing/users) and the official@genesyscloud/purecloud-platform-client-v2SDK. - The implementation is written in modern JavaScript with async/await, axios for retry logic, and structured audit logging.
Prerequisites
- OAuth client type: Client Credentials Flow (server-to-server automation)
- Required OAuth scopes:
routing:queue:read,routing:queue:write,routing:user:read,routing:user:write,user:read,user:write - SDK version:
@genesyscloud/purecloud-platform-client-v2v1.0.0 or later - Runtime: Node.js 18+
- External dependencies:
axios,dotenv,uuid
Authentication Setup
Genesys Cloud requires a bearer token for all API calls. The Node.js SDK handles token caching and automatic refresh when initialized with valid credentials. You must register a Client Credentials application in the Genesys Cloud admin console and store the clientId, clientSecret, and environment (e.g., mypurecloud.com) in a .env file.
require('dotenv').config();
const { PlatformClient } = require('@genesyscloud/purecloud-platform-client-v2');
async function initializeGenesysSdk() {
const platformClient = PlatformClient.create();
const authData = {
clientId: process.env.GENESYS_CLIENT_ID,
clientSecret: process.env.GENESYS_CLIENT_SECRET,
environment: process.env.GENESYS_ENVIRONMENT || 'mypurecloud.com'
};
try {
await platformClient.authClient.loginClientCredentials(authData);
return platformClient;
} catch (error) {
console.error('OAuth authentication failed:', error.response?.data || error.message);
process.exit(1);
}
}
The SDK caches the access token and refreshes it automatically before expiration. You do not need to implement manual token rotation logic.
Implementation
Step 1: Fetch Baseline Capacity and Validate Constraints
Before modifying capacity, you must retrieve the current configuration. Genesys Cloud enforces hard limits on queue capacity and user concurrency. Queue capacity typically ranges from 1 to 1000. User capacity depends on the assigned routing profile and skill group memberships.
async function fetchCurrentCapacity(platformClient, queueId, userId) {
const routingQueueApi = platformClient.RoutingQueueApi;
const routingUserApi = platformClient.RoutingUserApi;
const [queueRes, userRes] = await Promise.all([
routingQueueApi.getRoutingQueue(queueId),
routingUserApi.getRoutingUser(userId)
]);
const currentCapacity = {
queue: queueRes.body,
user: userRes.body
};
// Validate baseline constraints
if (currentCapacity.queue.capacity === undefined) {
throw new Error('Queue capacity field is missing or invalid.');
}
if (currentCapacity.user.routingProfileId === undefined) {
throw new Error('User routing profile is not assigned. Capacity cannot be adjusted.');
}
return currentCapacity;
}
Expected Response Structure:
{
"queue": {
"id": "a1b2c3d4-e5f6-7890-abcd-ef1234567890",
"name": "Priority Support Queue",
"capacity": 50,
"capacityFactor": 1.0,
"wrapUpTimeoutSeconds": 120,
"routingType": "longestIdleAgent"
},
"user": {
"id": "u9i8h7g6-f5e4-d3c2-b1a0-9876543210zy",
"routingProfileId": "rp123456-7890-abcd-ef12-34567890abcd",
"outboundCallingAllowed": true,
"status": "available"
}
}
Step 2: Construct Scale Payload and Execute Atomic PUT
Capacity adjustments must be atomic to prevent race conditions. You will construct a payload that merges the existing configuration with the new scale directive. The payload must pass schema validation before submission. Genesys Cloud rejects PUT requests that omit required fields or exceed maximum concurrency limits.
HTTP Request Cycle:
PUT /api/v2/routing/queues/a1b2c3d4-e5f6-7890-abcd-ef1234567890
Host: mydomain.mypurecloud.com
Authorization: Bearer <access_token>
Content-Type: application/json
Accept: application/json
{
"id": "a1b2c3d4-e5f6-7890-abcd-ef1234567890",
"name": "Priority Support Queue",
"capacity": 120,
"capacityFactor": 1.0,
"wrapUpTimeoutSeconds": 120,
"routingType": "longestIdleAgent",
"skillFilter": "and"
}
Realistic Response:
HTTP/1.1 200 OK
Content-Type: application/json
{
"id": "a1b2c3d4-e5f6-7890-abcd-ef1234567890",
"name": "Priority Support Queue",
"capacity": 120,
"capacityFactor": 1.0,
"wrapUpTimeoutSeconds": 120,
"routingType": "longestIdleAgent",
"skillFilter": "and",
"queueMetrics": {
"abandoned": 0,
"abandonedPercent": 0.0,
"answeringServiceSpeedOfAnswer": 0,
"averageHandleTime": 0,
"averageSpeedOfAnswer": 0,
"busy": 0,
"consultAverageSpeedOfAnswer": 0,
"consults": 0,
"inQueue": 0,
"levelOfService": 0.0,
"longestQueuePositionTime": 0,
"longestQueueTime": 0,
"maxAbandoned": 0,
"maxAbandonedPercent": 0.0,
"maxHandleTime": 0,
"maxQueueTime": 0,
"maxSpeedOfAnswer": 0,
"offered": 0,
"serviceLevel": 0.0,
"serviceTime": 0,
"speedOfAnswer": 0,
"totalAbandoned": 0,
"totalAbandonedPercent": 0.0,
"totalAnswered": 0,
"totalHandleTime": 0,
"totalQueueTime": 0,
"totalSpeedOfAnswer": 0,
"unavailable": 0,
"waiting": 0
},
"selfUri": "/api/v2/routing/queues/a1b2c3d4-e5f6-7890-abcd-ef1234567890"
}
Node.js Implementation with Validation and Threshold Logic:
function validateScalePayload(current, directive) {
const newCapacity = directive.targetCapacity;
const maxAllowed = directive.maxConcurrency || 1000;
const thresholdBreach = directive.thresholdBreachDetection !== false;
if (newCapacity < 1 || newCapacity > maxAllowed) {
throw new Error(`Capacity ${newCapacity} violates constraint: 1 <= capacity <= ${maxAllowed}`);
}
if (thresholdBreach && newCapacity > current.queue.capacity * 1.5) {
throw new Error('Rapid scaling detected. Capacity increase exceeds 50% threshold. Manual approval required.');
}
return {
...current.queue,
capacity: newCapacity,
capacityFactor: directive.capacityFactor || current.queue.capacityFactor
};
}
async function executeAtomicCapacityUpdate(platformClient, queueId, payload) {
const routingQueueApi = platformClient.RoutingQueueApi;
try {
const response = await routingQueueApi.putRoutingQueue(queueId, payload);
return response.body;
} catch (error) {
if (error.code === 400) {
throw new Error('Payload validation failed: ' + JSON.stringify(error.body?.errors || error.message));
}
if (error.code === 403) {
throw new Error('Insufficient OAuth scopes. Required: routing:queue:write');
}
throw error;
}
}
Step 3: Post-Adjustment Verification and Audit Logging
After the PUT operation succeeds, you must verify the new state and generate an audit record. You will also trigger a capacity adjusted webhook to synchronize with external orchestration engines. Latency tracking ensures you can measure scale success rates and detect API degradation.
const axios = require('axios');
const { v4: uuidv4 } = require('uuid');
async function postAdjustmentVerification(platformClient, queueId, auditRecord) {
const routingQueueApi = platformClient.RoutingQueueApi;
const verificationStart = Date.now();
try {
const verified = await routingQueueApi.getRoutingQueue(queueId);
const latency = Date.now() - verificationStart;
auditRecord.verificationLatencyMs = latency;
auditRecord.finalCapacity = verified.body.capacity;
auditRecord.status = verified.body.capacity === auditRecord.requestedCapacity ? 'SUCCESS' : 'MISMATCH';
return auditRecord;
} catch (error) {
auditRecord.status = 'VERIFICATION_FAILED';
auditRecord.error = error.message;
return auditRecord;
}
}
async function triggerOrchestrationWebhook(webhookUrl, auditRecord) {
if (!webhookUrl) return;
try {
await axios.post(webhookUrl, {
event: 'capacity.adjusted',
timestamp: new Date().toISOString(),
auditId: auditRecord.auditId,
queueId: auditRecord.queueId,
previousCapacity: auditRecord.previousCapacity,
newCapacity: auditRecord.finalCapacity,
status: auditRecord.status,
latencyMs: auditRecord.verificationLatencyMs
}, {
headers: { 'Content-Type': 'application/json' },
timeout: 5000
});
} catch (error) {
console.warn('Webhook delivery failed (non-fatal):', error.message);
}
}
Complete Working Example
require('dotenv').config();
const { PlatformClient } = require('@genesyscloud/purecloud-platform-client-v2');
const axios = require('axios');
const { v4: uuidv4 } = require('uuid');
const RETRY_CONFIG = {
maxRetries: 3,
baseDelayMs: 1000,
retryOnStatus: [429]
};
async function retryOnRateLimit(fn) {
let attempt = 0;
while (true) {
try {
return await fn();
} catch (error) {
if (RETRY_CONFIG.retryOnStatus.includes(error.code) && attempt < RETRY_CONFIG.maxRetries) {
const delay = RETRY_CONFIG.baseDelayMs * Math.pow(2, attempt);
console.warn(`Rate limit 429 encountered. Retrying in ${delay}ms (attempt ${attempt + 1}/${RETRY_CONFIG.maxRetries})`);
await new Promise(resolve => setTimeout(resolve, delay));
attempt++;
} else {
throw error;
}
}
}
}
async function adjustWorkerCapacity(queueId, userId, directive, webhookUrl) {
const platformClient = PlatformClient.create();
await platformClient.authClient.loginClientCredentials({
clientId: process.env.GENESYS_CLIENT_ID,
clientSecret: process.env.GENESYS_CLIENT_SECRET,
environment: process.env.GENESYS_ENVIRONMENT || 'mypurecloud.com'
});
const auditRecord = {
auditId: uuidv4(),
queueId,
userId,
requestedCapacity: directive.targetCapacity,
previousCapacity: null,
finalCapacity: null,
status: 'PENDING',
verificationLatencyMs: 0,
timestamp: new Date().toISOString()
};
try {
// Step 1: Fetch baseline
const baseline = await retryOnRateLimit(() => fetchCurrentCapacity(platformClient, queueId, userId));
auditRecord.previousCapacity = baseline.queue.capacity;
// Step 2: Validate and construct payload
const payload = validateScalePayload(baseline, directive);
// Step 3: Atomic PUT with 429 retry handling
const updateResult = await retryOnRateLimit(() => executeAtomicCapacityUpdate(platformClient, queueId, payload));
auditRecord.updateResult = updateResult;
// Step 4: Verify and log
const verifiedAudit = await postAdjustmentVerification(platformClient, queueId, auditRecord);
await triggerOrchestrationWebhook(webhookUrl, verifiedAudit);
console.log('Capacity adjustment complete:', JSON.stringify(verifiedAudit, null, 2));
return verifiedAudit;
} catch (error) {
auditRecord.status = 'FAILED';
auditRecord.error = error.message;
console.error('Capacity adjustment failed:', error.message);
await triggerOrchestrationWebhook(webhookUrl, auditRecord);
throw error;
}
}
// Helper functions from Step 1, 2, 3 must be defined in the same file or module
// (Included here for completeness in a production module structure)
function validateScalePayload(current, directive) {
const newCapacity = directive.targetCapacity;
const maxAllowed = directive.maxConcurrency || 1000;
const thresholdBreach = directive.thresholdBreachDetection !== false;
if (newCapacity < 1 || newCapacity > maxAllowed) {
throw new Error(`Capacity ${newCapacity} violates constraint: 1 <= capacity <= ${maxAllowed}`);
}
if (thresholdBreach && newCapacity > current.queue.capacity * 1.5) {
throw new Error('Rapid scaling detected. Capacity increase exceeds 50% threshold. Manual approval required.');
}
return {
...current.queue,
capacity: newCapacity,
capacityFactor: directive.capacityFactor || current.queue.capacityFactor
};
}
async function fetchCurrentCapacity(platformClient, queueId, userId) {
const routingQueueApi = platformClient.RoutingQueueApi;
const routingUserApi = platformClient.RoutingUserApi;
const [queueRes, userRes] = await Promise.all([
routingQueueApi.getRoutingQueue(queueId),
routingUserApi.getRoutingUser(userId)
]);
return {
queue: queueRes.body,
user: userRes.body
};
}
async function executeAtomicCapacityUpdate(platformClient, queueId, payload) {
const routingQueueApi = platformClient.RoutingQueueApi;
try {
const response = await routingQueueApi.putRoutingQueue(queueId, payload);
return response.body;
} catch (error) {
if (error.code === 400) {
throw new Error('Payload validation failed: ' + JSON.stringify(error.body?.errors || error.message));
}
if (error.code === 403) {
throw new Error('Insufficient OAuth scopes. Required: routing:queue:write');
}
throw error;
}
}
async function postAdjustmentVerification(platformClient, queueId, auditRecord) {
const routingQueueApi = platformClient.RoutingQueueApi;
const verificationStart = Date.now();
try {
const verified = await routingQueueApi.getRoutingQueue(queueId);
const latency = Date.now() - verificationStart;
auditRecord.verificationLatencyMs = latency;
auditRecord.finalCapacity = verified.body.capacity;
auditRecord.status = verified.body.capacity === auditRecord.requestedCapacity ? 'SUCCESS' : 'MISMATCH';
return auditRecord;
} catch (error) {
auditRecord.status = 'VERIFICATION_FAILED';
auditRecord.error = error.message;
return auditRecord;
}
}
async function triggerOrchestrationWebhook(webhookUrl, auditRecord) {
if (!webhookUrl) return;
try {
await axios.post(webhookUrl, {
event: 'capacity.adjusted',
timestamp: new Date().toISOString(),
auditId: auditRecord.auditId,
queueId: auditRecord.queueId,
previousCapacity: auditRecord.previousCapacity,
newCapacity: auditRecord.finalCapacity,
status: auditRecord.status,
latencyMs: auditRecord.verificationLatencyMs
}, {
headers: { 'Content-Type': 'application/json' },
timeout: 5000
});
} catch (error) {
console.warn('Webhook delivery failed (non-fatal):', error.message);
}
}
// Execution example
if (require.main === module) {
const QUEUE_ID = process.env.TARGET_QUEUE_ID;
const USER_ID = process.env.TARGET_USER_ID;
const WEBHOOK_URL = process.env.ORCHESTRATION_WEBHOOK_URL;
const scaleDirective = {
targetCapacity: 150,
maxConcurrency: 500,
capacityFactor: 1.0,
thresholdBreachDetection: true
};
adjustWorkerCapacity(QUEUE_ID, USER_ID, scaleDirective, WEBHOOK_URL)
.catch(err => {
console.error('Fatal execution error:', err);
process.exit(1);
});
}
Common Errors & Debugging
Error: 400 Bad Request
- What causes it: The payload violates Genesys Cloud schema validation. Common triggers include missing required fields, invalid
capacityFactorvalues, or exceeding the maximum concurrency limit for the queue. - How to fix it: Verify that the PUT payload includes all required queue properties. Ensure
capacityis an integer between 1 and 1000. Check thatroutingTypematches valid enum values. - Code showing the fix: The
validateScalePayloadfunction enforces range checks before submission. TheexecuteAtomicCapacityUpdatefunction parses the400response body to extract specific field-level errors.
Error: 401 Unauthorized or 403 Forbidden
- What causes it: The OAuth token is expired, malformed, or lacks the required
routing:queue:writescope. The Client Credentials application may not have the correct role assignments in the Genesys Cloud tenant. - How to fix it: Regenerate the token using
platformClient.authClient.loginClientCredentials. Verify the OAuth application has therouting:queue:writeandrouting:user:writescopes enabled. Assign theRouting Administratorrole to the client application. - Code showing the fix: The
initializeGenesysSdkfunction explicitly checks authentication on startup. TheexecuteAtomicCapacityUpdatefunction catches403errors and throws a descriptive message.
Error: 429 Too Many Requests
- What causes it: Genesys Cloud enforces rate limits per OAuth token and per tenant. Bulk capacity adjustments or rapid polling can trigger throttling.
- How to fix it: Implement exponential backoff. The
retryOnRateLimitwrapper handles this automatically by detecting429status codes, delaying execution, and retrying up to three times. - Code showing the fix: See the
retryOnRateLimitasync function in the complete example. It multiplies the delay by a factor of 2 on each attempt.
Error: 409 Conflict
- What causes it: Concurrent modifications to the same queue or user resource. Another process updated the capacity while your script was constructing the payload.
- How to fix it: Fetch the latest resource state immediately before the PUT request. Implement an optimistic concurrency check by comparing the
versionfield if available, or retry the fetch-and-update cycle. - Code showing the fix: The
fetchCurrentCapacityfunction runs immediately beforevalidateScalePayload, ensuring the base payload reflects the latest tenant state.