Scheduling Genesys Cloud Outbound Voice Messages via Outbound API with Node.js
What You Will Build
A Node.js module that constructs, validates, and atomically schedules outbound voice campaigns using the Genesys Cloud Outbound API. The implementation uses the official genesys-cloud-sdk/platform-client-v2 package. The code covers TypeScript and JavaScript execution environments.
Prerequisites
- OAuth 2.0 Client Credentials grant with
outbound:campaign:write,outbound:campaign:read,outbound:contactlist:write,webhook:writescopes - Genesys Cloud Node.js SDK v4.100.0 or later
- Node.js 18 LTS or later
- External dependencies:
npm install genesys-cloud-sdk/platform-client-v2 dayjs uuid
Authentication Setup
Genesys Cloud requires OAuth 2.0 for all API interactions. The Node.js SDK manages token acquisition and automatic refresh when configured correctly. You must register a client application in the Genesys Cloud Admin console and capture the client identifier and secret.
import { PlatformClient } from 'genesys-cloud-sdk/platform-client-v2';
import dotenv from 'dotenv';
dotenv.config();
const CLIENT_ID = process.env.GENESYS_CLIENT_ID;
const CLIENT_SECRET = process.env.GENESYS_CLIENT_SECRET;
const REGION = process.env.GENESYS_REGION || 'us-east-1';
export async function initializeGenesysClient() {
const platformClient = new PlatformClient();
// Configure region and base URL
platformClient.setBaseUri(`https://${REGION}.mypurecloud.com`);
try {
await platformClient.auth.clientCredentialsLogin(CLIENT_ID, CLIENT_SECRET);
const tokenInfo = platformClient.auth.getAccessToken();
console.log('OAuth2 token acquired. Expires at:', tokenInfo.expires_at);
return platformClient;
} catch (error) {
console.error('Authentication failed:', error.response?.data || error.message);
throw new Error('OAuth2 client credentials login failed. Verify scopes and credentials.');
}
}
The SDK caches the access token and automatically requests a new token before expiration. You do not need to implement manual refresh logic unless you operate in a distributed environment without shared memory.
Implementation
Step 1: Payload Construction & Schema Validation Pipeline
Genesys Cloud outbound campaigns require a strict JSON structure. The platform enforces delivery constraints, maximum schedule durations, and dialing window formats. You must validate the payload before transmission to prevent 400 Bad Request responses and wasted API credits.
The following validator checks message references, recipient matrices, queue directives, dialing windows, retry policies, DND compliance, and frequency caps.
import dayjs from 'dayjs';
import { v4 as uuidv4 } from 'uuid';
export function validateCampaignPayload(payload) {
const errors = [];
const { schedule, contactListId, callFlowId, doNotCallListId, frequencyCap } = payload;
// 1. Message Reference Validation
if (!callFlowId || !/^[0-9a-f]{8}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{12}$/i.test(callFlowId)) {
errors.push('Invalid callFlowId. Must be a valid UUID referencing an existing voice call flow.');
}
// 2. Recipient Matrix Validation
if (!contactListId || !/^[0-9a-f]{8}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{12}$/i.test(contactListId)) {
errors.push('Invalid contactListId. Must be a valid UUID referencing a populated contact list.');
}
// 3. Schedule Duration Constraint (Max 24 hours for safe iteration)
if (schedule?.startTime && schedule?.endTime) {
const start = dayjs(schedule.startTime);
const end = dayjs(schedule.endTime);
if (!start.isValid() || !end.isValid()) {
errors.push('Invalid schedule start or end time. Must be ISO 8601 format.');
} else if (end.diff(start, 'hour') > 24) {
errors.push('Schedule duration exceeds 24-hour maximum limit. Reduce window to prevent queue overflow.');
}
}
// 4. Dialing Window Calculation & Format Verification
if (schedule?.dialingWindow) {
const { start: dwStart, end: dwEnd } = schedule.dialingWindow;
if (!/^\d{2}:\d{2}$/.test(dwStart) || !/^\d{2}:\d{2}$/.test(dwEnd)) {
errors.push('Dialing window must use HH:MM 24-hour format.');
} else if (dwStart >= dwEnd) {
errors.push('Dialing window start time must precede end time.');
}
}
// 5. Retry Policy Configuration Logic
if (schedule?.retryPolicy) {
const { maxAttempts, retryInterval } = schedule.retryPolicy;
if (maxAttempts < 1 || maxAttempts > 5) {
errors.push('Retry policy maxAttempts must be between 1 and 5.');
}
if (!retryInterval || !/^PT\d+H$/.test(retryInterval)) {
errors.push('Retry interval must use ISO 8601 duration format (e.g., PT1H).');
}
}
// 6. DND Compliance Checking
if (doNotCallListId && !/^[0-9a-f]{8}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{12}$/i.test(doNotCallListId)) {
errors.push('Invalid doNotCallListId. DND compliance requires a valid list UUID.');
}
// 7. Frequency Capping Verification Pipeline
if (frequencyCap) {
const { count, interval } = frequencyCap;
if (count < 1) {
errors.push('Frequency cap count must be greater than zero.');
}
if (!interval || !/^P\d+D$|^PT\d+H$/.test(interval)) {
errors.push('Frequency cap interval must use ISO 8601 duration format (e.g., P1D or PT24H).');
}
}
if (errors.length > 0) {
throw new Error(`Payload validation failed:\n${errors.join('\n')}`);
}
return true;
}
This pipeline runs synchronously before network transmission. It prevents malformed requests from consuming rate limits and ensures respectful outreach by enforcing DND and frequency constraints at the application layer.
Step 2: Atomic POST Execution & 429 Retry Logic
Genesys Cloud processes campaign creation atomically. You must handle transient network failures and 429 Too Many Requests responses gracefully. The following function implements exponential backoff and captures the full HTTP cycle for auditing.
export async function scheduleCampaignAtomic(platformClient, campaignPayload, maxRetries = 3) {
const startTime = Date.now();
const endpoint = '/api/v2/outbound/campaigns';
const method = 'POST';
// Construct headers for audit logging
const headers = {
'Content-Type': 'application/json',
'Authorization': `Bearer ${platformClient.auth.getAccessToken()?.access_token}`,
'Accept': 'application/json'
};
let lastError = null;
for (let attempt = 1; attempt <= maxRetries; attempt++) {
try {
console.log(`[Attempt ${attempt}] POST ${endpoint}`);
console.log('Request Body:', JSON.stringify(campaignPayload, null, 2));
// SDK execution
const response = await platformClient.outbound.createOutboundCampaign(campaignPayload);
const latencyMs = Date.now() - startTime;
console.log(`[Success] Campaign created. ID: ${response.body.id}`);
console.log('Response Headers:', JSON.stringify(response.headers, null, 2));
console.log('Response Body:', JSON.stringify(response.body, null, 2));
return {
success: true,
campaignId: response.body.id,
latencyMs,
status: response.status,
timestamp: new Date().toISOString()
};
} catch (error) {
lastError = error;
const status = error.response?.status || 500;
if (status === 429) {
const retryAfter = error.response?.headers?.['retry-after'] || Math.pow(2, attempt);
console.warn(`[429 Rate Limited] Waiting ${retryAfter}s before retry ${attempt}/${maxRetries}`);
await new Promise(resolve => setTimeout(resolve, retryAfter * 1000));
continue;
}
if (status === 400 || status === 403) {
console.error(`[${status}] Client error. Payload or scope mismatch.`);
console.error('Response Body:', error.response?.data);
throw error;
}
console.error(`[${status}] Server error. Retrying...`);
await new Promise(resolve => setTimeout(resolve, Math.pow(2, attempt) * 1000));
}
}
throw new Error(`Failed to schedule campaign after ${maxRetries} attempts: ${lastError?.message}`);
}
The retry logic respects the Retry-After header when present. Client errors (400, 403) fail immediately to prevent wasted cycles. Server errors and rate limits trigger exponential backoff.
Step 3: Webhook Registration & External Monitor Synchronization
You must synchronize scheduling events with external dialer monitors. Genesys Cloud emits outbound:campaign:scheduled events. Registering a webhook ensures your external systems receive immediate notifications without polling.
export async function registerScheduleWebhook(platformClient, callbackUrl) {
const webhookPayload = {
name: 'Outbound Scheduler Sync Webhook',
enabled: true,
callbackUrl,
events: ['outbound:campaign:scheduled'],
filter: 'eventType == "outbound:campaign:scheduled"',
headers: {
'X-Webhook-Source': 'GenesysOutboundScheduler'
},
securityToken: process.env.WEBHOOK_SECURITY_TOKEN || uuidv4()
};
try {
const response = await platformClient.webhooks.createWebhook(webhookPayload);
console.log('Webhook registered. ID:', response.body.id);
return response.body.id;
} catch (error) {
console.error('Webhook registration failed:', error.response?.data || error.message);
throw new Error('Failed to register scheduling webhook');
}
}
The webhook payload includes a security token for signature verification in your external monitor. The filter expression ensures only campaign scheduling events trigger the callback.
Step 4: Latency Tracking, Audit Logging, & Campaign Grouping
Safe schedule iteration requires grouping campaigns by dialing window and tracking queue success rates. The following orchestrator manages batch scheduling, calculates efficiency metrics, and generates governance audit logs.
export async function executeScheduleBatch(platformClient, campaigns, webhookId) {
const auditLog = [];
let successCount = 0;
let failureCount = 0;
let totalLatency = 0;
// Group by dialing window for safe iteration
const grouped = campaigns.reduce((acc, campaign) => {
const key = `${campaign.schedule.dialingWindow.start}-${campaign.schedule.dialingWindow.end}`;
if (!acc[key]) acc[key] = [];
acc[key].push(campaign);
return acc;
}, {});
console.log(`Processing ${Object.keys(grouped).length} dialing window groups`);
for (const [windowKey, group] of Object.entries(grouped)) {
console.log(`\n--- Scheduling Group: ${windowKey} (${group.length} campaigns) ---`);
for (const campaign of group) {
try {
validateCampaignPayload(campaign);
const result = await scheduleCampaignAtomic(platformClient, campaign);
successCount++;
totalLatency += result.latencyMs;
auditLog.push({
action: 'CAMPAIGN_SCHEDULED',
campaignId: result.campaignId,
windowGroup: windowKey,
latencyMs: result.latencyMs,
webhookId,
timestamp: result.timestamp,
status: 'SUCCESS'
});
// Safe iteration delay to prevent queue directive collision
await new Promise(resolve => setTimeout(resolve, 500));
} catch (error) {
failureCount++;
auditLog.push({
action: 'CAMPAIGN_SCHEDULE_FAILED',
campaignName: campaign.name,
windowGroup: windowKey,
error: error.message,
timestamp: new Date().toISOString(),
status: 'FAILED'
});
}
}
}
const avgLatency = successCount > 0 ? Math.round(totalLatency / successCount) : 0;
const successRate = Math.round((successCount / (successCount + failureCount)) * 100);
console.log('\n=== SCHEDULING AUDIT SUMMARY ===');
console.log(`Total Scheduled: ${successCount}`);
console.log(`Total Failed: ${failureCount}`);
console.log(`Queue Success Rate: ${successRate}%`);
console.log(`Average Latency: ${avgLatency}ms`);
console.log('Full Audit Log:', JSON.stringify(auditLog, null, 2));
return {
auditLog,
metrics: { successCount, failureCount, successRate, avgLatency }
};
}
The orchestrator groups payloads by dialing window to prevent queue directive collisions. It enforces a 500-millisecond delay between atomic POST operations to respect Genesys Cloud backend throttling. The audit log captures latency, success rates, and timestamps for outbound governance compliance.
Complete Working Example
import dotenv from 'dotenv';
import { initializeGenesysClient } from './auth.js';
import {
validateCampaignPayload,
scheduleCampaignAtomic,
registerScheduleWebhook,
executeScheduleBatch
} from './scheduler.js';
dotenv.config();
async function main() {
try {
console.log('Initializing Genesys Cloud client...');
const platformClient = await initializeGenesysClient();
console.log('Registering scheduling webhook...');
const webhookId = await registerScheduleWebhook(
platformClient,
process.env.WEBHOOK_CALLBACK_URL || 'https://your-monitor.example.com/webhooks/genesys'
);
// Construct scheduling payloads with message references, recipient matrix, and queue directive
const campaignBatch = [
{
name: 'Voice Message Outreach A',
contactListId: 'a1b2c3d4-e5f6-7890-abcd-ef1234567890',
callFlowId: 'b2c3d4e5-f6a7-8901-bcde-f12345678901',
doNotCallListId: 'c3d4e5f6-a7b8-9012-cdef-123456789012',
schedule: {
startTime: '2024-06-15T09:00:00.000Z',
endTime: '2024-06-15T17:00:00.000Z',
dialingWindow: { start: '09:00', end: '17:00' },
retryPolicy: { maxAttempts: 3, retryInterval: 'PT1H' }
},
frequencyCap: { count: 1, interval: 'P1D' }
},
{
name: 'Voice Message Outreach B',
contactListId: 'd4e5f6a7-b8c9-0123-defa-234567890123',
callFlowId: 'b2c3d4e5-f6a7-8901-bcde-f12345678901',
doNotCallListId: 'c3d4e5f6-a7b8-9012-cdef-123456789012',
schedule: {
startTime: '2024-06-16T09:00:00.000Z',
endTime: '2024-06-16T17:00:00.000Z',
dialingWindow: { start: '09:00', end: '17:00' },
retryPolicy: { maxAttempts: 2, retryInterval: 'PT2H' }
},
frequencyCap: { count: 1, interval: 'P1D' }
}
];
console.log('Executing schedule batch with validation and grouping...');
const result = await executeScheduleBatch(platformClient, campaignBatch, webhookId);
console.log('Scheduling pipeline completed successfully.');
process.exit(0);
} catch (error) {
console.error('Fatal error in scheduling pipeline:', error.message);
process.exit(1);
}
}
main();
Common Errors & Debugging
Error: 400 Bad Request
- Cause: Payload schema mismatch, invalid UUID format, or schedule duration exceeds platform limits.
- Fix: Run the payload through
validateCampaignPayload()before transmission. Verify thatcallFlowIdreferences an active voice call flow andcontactListIdcontains valid phone numbers. - Code Fix: Ensure ISO 8601 timestamps and HH:MM dialing window formats match exactly.
Error: 401 Unauthorized / 403 Forbidden
- Cause: Expired OAuth token or missing
outbound:campaign:writescope. - Fix: Regenerate the client credentials token. Verify the application role in Genesys Cloud Admin includes Outbound Campaign permissions.
- Code Fix: The SDK automatically refreshes tokens. If you see 401, clear the token cache and re-authenticate.
Error: 429 Too Many Requests
- Cause: Exceeding Genesys Cloud rate limits for outbound API calls.
- Fix: The
scheduleCampaignAtomicfunction implements exponential backoff. Increase the delay between batch iterations if scaling to hundreds of campaigns. - Code Fix: Monitor the
Retry-Afterheader. Adjust the500ms iteration delay inexecuteScheduleBatchto1000ms or higher for large deployments.
Error: 503 Service Unavailable
- Cause: Genesys Cloud outbound service maintenance or temporary backend degradation.
- Fix: Implement circuit breaker logic in production. The retry loop handles transient 503 responses.
- Code Fix: Add a maximum timeout wrapper around the batch execution to prevent indefinite hanging.