Preparing Genesys Cloud Outbound Preview Dialing Lists via Outbound Campaign APIs with Node.js

What You Will Build

A Node.js module that constructs, validates, and submits contact list preparation payloads to the Genesys Cloud Outbound API, tracks preparation latency, enforces dialer constraints, and synchronizes events with external workforce management systems.
This tutorial uses the Genesys Cloud Outbound Campaign and Contact List APIs with the official JavaScript SDK.
The implementation is written in Node.js using modern async/await syntax and the @genesyscloud/api-client package.

Prerequisites

• OAuth 2.0 client credentials with the following scopes: outbound:campaign:read, outbound:campaign:write, outbound:contactlist:read, outbound:contactlist:write, user:read
• Genesys Cloud SDK version @genesyscloud/api-client@^1.0.0
• Node.js runtime version 18 or higher
• External dependencies: axios, winston, uuid

Authentication Setup

Genesys Cloud uses OAuth 2.0 client credentials flow. The SDK handles token acquisition and refresh automatically, but production systems require explicit token caching to avoid unnecessary network calls during rapid prepare iterations. The following implementation initializes the SDK and attaches a token interceptor that caches credentials and validates expiration before SDK calls.

const { platformClient } = require('@genesyscloud/api-client');
const axios = require('axios');

class GenesysAuthManager {
  constructor(clientId, clientSecret, basePath) {
    this.clientId = clientId;
    this.clientSecret = clientSecret;
    this.basePath = basePath;
    this.tokenCache = { accessToken: null, expiresAt: 0 };
  }

  async initSdk() {
    await platformClient.init({
      clientId: this.clientId,
      clientSecret: this.clientSecret,
      basePath: this.basePath
    });
    return platformClient;
  }

  async getAccessToken() {
    if (this.tokenCache.accessToken && Date.now() < this.tokenCache.expiresAt) {
      return this.tokenCache.accessToken;
    }

    const response = await axios.post(`${this.basePath}/oauth/token`, {
      grant_type: 'client_credentials',
      client_id: this.clientId,
      client_secret: this.clientSecret,
      scope: 'outbound:campaign:read outbound:campaign:write outbound:contactlist:read outbound:contactlist:write user:read'
    });

    this.tokenCache.accessToken = response.data.access_token;
    this.tokenCache.expiresAt = Date.now() + (response.data.expires_in * 1000) - 60000;
    return this.tokenCache.accessToken;
  }
}

The OAuth flow returns a JSON payload containing access_token, expires_in, and scope. The cache subtracts sixty seconds from the expiration window to prevent boundary failures during high-throughput prepare operations.

Implementation

Step 1: Construct Prepare Payloads with Contact References and Assignment Directives

The prepare endpoint requires a structured JSON body containing campaign identifiers, contact filters, sort matrices, and assignment directives. The payload must reference valid contact UUIDs and specify routing assignments for preview dialing.

const constructPreparePayload = (contactListId, campaignId, contactUuids, sortColumn, agentIds) => {
  const filterExpression = `id IN (${contactUuids.map(uuid => `'${uuid}'`).join(',')})`;

  const payload = {
    campaignId,
    filter: {
      expression: filterExpression
    },
    sortOrder: {
      column: sortColumn,
      ascending: true
    },
    assignment: {
      agentIds: agentIds,
      groupIds: []
    },
    maxContacts: contactUuids.length,
    listId: contactListId
  };

  return payload;
};

The filter.expression field uses Genesys Cloud query syntax. The sortOrder matrix dictates how the dialer engine queues contacts for preview presentation. The assignment.agentIds array directs the routing engine to reserve slots for specific users.

Step 2: Validate Prepare Schemas Against Dialer Engine Constraints

Genesys Cloud enforces strict limits on prepared contacts and campaign types. The validation pipeline checks campaign configuration against dialer engine constraints before submitting the POST request.

const validatePrepareConstraints = async (platformClient, campaignId, payload) => {
  const campaign = await platformClient.outbound.getCampaign(campaignId);

  if (campaign.type !== 'preview') {
    throw new Error('Campaign type must be preview for this preparation workflow.');
  }

  if (payload.maxContacts > 10000) {
    throw new Error('Exceeds maximum list queue limit of 10000 contacts.');
  }

  if (!payload.assignment.agentIds || payload.assignment.agentIds.length === 0) {
    throw new Error('Preview campaigns require at least one assigned agent.');
  }

  return { valid: true, campaignType: campaign.type, maxAllowed: 10000 };
};

The dialer engine rejects payloads that exceed queue thresholds or mismatch campaign types. This validation prevents 400 Bad Request responses and reduces API quota consumption.

Step 3: Implement Contact Eligibility and Skill Match Verification

Preview dialing requires agents to possess the skills configured in the campaign routing profile. This step verifies agent availability and skill alignment before list staging.

const verifyAgentSkills = async (platformClient, agentIds, requiredSkillNames) => {
  const verificationResults = [];

  for (const agentId of agentIds) {
    const user = await platformClient.user.getUser(agentId);
    const userSkills = user.skills ? user.skills.map(s => s.name) : [];

    const missingSkills = requiredSkillNames.filter(skill => !userSkills.includes(skill));

    verificationResults.push({
      agentId,
      agentName: user.name,
      onlineStatus: user.statusPresence,
      missingSkills,
      isEligible: missingSkills.length === 0 && user.statusPresence === 'Available'
    });
  }

  const ineligibleAgents = verificationResults.filter(r => !r.isEligible);
  if (ineligibleAgents.length > 0) {
    throw new Error(`Agents lack required skills or availability: ${JSON.stringify(ineligibleAgents)}`);
  }

  return verificationResults;
};

The pipeline fetches user profiles and compares configured skills against the campaign requirements. It throws an error if any assigned agent lacks the necessary skill set or is not in an available presence.

Step 4: Execute Atomic POST Operations with Format Verification and Retry Logic

The prepare operation is atomic. The SDK wraps the HTTP POST request, but production code must handle rate limiting and format verification. The following function implements exponential backoff for 429 responses and validates the response schema.

const prepareContactList = async (platformClient, contactListId, payload, maxRetries = 3) => {
  const startTime = Date.now();

  for (let attempt = 1; attempt <= maxRetries; attempt++) {
    try {
      const response = await platformClient.outbound.prepareContactlist(contactListId, payload);

      if (!response || !response.id) {
        throw new Error('Invalid prepare response: missing resource identifier.');
      }

      const latency = Date.now() - startTime;
      return { success: true, response, latency };
    } catch (error) {
      if (error.status === 429) {
        const retryAfterSeconds = parseInt(error.headers['retry-after'] || Math.pow(2, attempt), 10);
        console.log(`Rate limited. Retrying in ${retryAfterSeconds} seconds...`);
        await new Promise(resolve => setTimeout(resolve, retryAfterSeconds * 1000));
        continue;
      }

      if (error.status === 400 || error.status === 422) {
        throw new Error(`Format verification failed: ${error.message}`);
      }

      throw error;
    }
  }

  throw new Error('Maximum retry attempts exceeded for prepare operation.');
};

The retry loop reads the retry-after header from the rate limit response. If the header is absent, it falls back to exponential backoff. The function validates the response structure before returning to prevent downstream processing errors.

Step 5: Synchronize Events, Track Latency, and Generate Audit Logs

Preparation events must synchronize with external workforce management tools. This step tracks commit success rates, calculates latency, triggers callback handlers, and writes structured audit logs.

const axios = require('axios');
const winston = require('winston');

const logger = winston.createLogger({
  level: 'info',
  format: winston.format.json(),
  transports: [new winston.transports.File({ filename: 'prepare_audit.log' })]
});

const metrics = { attempts: 0, successes: 0, totalLatency: 0 };

const syncWithWfmAndLog = async (wfmCallbackUrl, event, data) => {
  metrics.attempts++;
  if (data.success) {
    metrics.successes++;
    metrics.totalLatency += data.latency;
  }

  try {
    await axios.post(wfmCallbackUrl, {
      event: event,
      timestamp: new Date().toISOString(),
      data: data,
      metrics: {
        successRate: (metrics.successes / metrics.attempts * 100).toFixed(2) + '%',
        avgLatency: Math.round(metrics.totalLatency / metrics.successes) + 'ms'
      }
    });
  } catch (err) {
    console.error('WFM callback failed:', err.message);
  }

  logger.info('PREPARE_AUDIT', {
    contactListId: data.contactListId,
    campaignId: data.campaignId,
    status: data.success ? 'COMMITTED' : 'FAILED',
    latencyMs: data.latency || 0,
    error: data.error || null,
    auditId: require('uuid').v4()
  });
};

The metrics object maintains state across iterations. The syncWithWfmAndLog function posts event data to an external endpoint and writes a timestamped audit entry to disk. This satisfies governance requirements for preview list staging.

Complete Working Example

The following script combines all components into a runnable module. Replace the environment variables with valid credentials before execution.

const { platformClient } = require('@genesyscloud/api-client');
const axios = require('axios');
const winston = require('winston');
const uuid = require('uuid');

// Configuration
const CONFIG = {
  clientId: process.env.GENESYS_CLIENT_ID,
  clientSecret: process.env.GENESYS_CLIENT_SECRET,
  basePath: process.env.GENESYS_BASE_URL || 'https://api.mypurecloud.com',
  wfmCallbackUrl: process.env.WFM_CALLBACK_URL || 'https://wfm.internal/api/events',
  contactListId: process.env.CONTACT_LIST_ID,
  campaignId: process.env.CAMPAIGN_ID,
  contactUuids: JSON.parse(process.env.CONTACT_UUIDS || '[]'),
  sortColumn: process.env.SORT_COLUMN || 'contactId',
  agentIds: JSON.parse(process.env.AGENT_IDS || '[]'),
  requiredSkills: JSON.parse(process.env.REQUIRED_SKILLS || '[]')
};

// Logger setup
const logger = winston.createLogger({
  level: 'info',
  format: winston.format.json(),
  transports: [new winston.transports.File({ filename: 'prepare_audit.log' })]
});

const metrics = { attempts: 0, successes: 0, totalLatency: 0 };

// Step 1: Payload Construction
const constructPreparePayload = (contactListId, campaignId, contactUuids, sortColumn, agentIds) => {
  return {
    campaignId,
    filter: { expression: `id IN (${contactUuids.map(u => `'${u}'`).join(',')})` },
    sortOrder: { column: sortColumn, ascending: true },
    assignment: { agentIds, groupIds: [] },
    maxContacts: contactUuids.length,
    listId: contactListId
  };
};

// Step 2: Constraint Validation
const validatePrepareConstraints = async (platformClient, campaignId, payload) => {
  const campaign = await platformClient.outbound.getCampaign(campaignId);
  if (campaign.type !== 'preview') throw new Error('Campaign type must be preview.');
  if (payload.maxContacts > 10000) throw new Error('Exceeds maximum list queue limit of 10000 contacts.');
  if (!payload.assignment.agentIds || payload.assignment.agentIds.length === 0) throw new Error('Preview campaigns require assigned agents.');
  return { valid: true };
};

// Step 3: Skill & Eligibility Verification
const verifyAgentSkills = async (platformClient, agentIds, requiredSkillNames) => {
  for (const agentId of agentIds) {
    const user = await platformClient.user.getUser(agentId);
    const userSkills = user.skills ? user.skills.map(s => s.name) : [];
    const missing = requiredSkillNames.filter(s => !userSkills.includes(s));
    if (missing.length > 0 || user.statusPresence !== 'Available') {
      throw new Error(`Agent ${agentId} ineligible. Missing skills: ${missing.join(',')}. Status: ${user.statusPresence}`);
    }
  }
  return true;
};

// Step 4: Atomic POST with Retry
const prepareContactList = async (platformClient, contactListId, payload, maxRetries = 3) => {
  const startTime = Date.now();
  for (let attempt = 1; attempt <= maxRetries; attempt++) {
    try {
      const response = await platformClient.outbound.prepareContactlist(contactListId, payload);
      if (!response || !response.id) throw new Error('Invalid prepare response.');
      return { success: true, response, latency: Date.now() - startTime };
    } catch (err) {
      if (err.status === 429) {
        const delay = parseInt(err.headers['retry-after'] || Math.pow(2, attempt), 10);
        await new Promise(r => setTimeout(r, delay * 1000));
        continue;
      }
      throw err;
    }
  }
  throw new Error('Maximum retry attempts exceeded.');
};

// Step 5: Sync & Audit
const syncWithWfmAndLog = async (wfmUrl, event, data) => {
  metrics.attempts++;
  if (data.success) {
    metrics.successes++;
    metrics.totalLatency += data.latency;
  }
  try {
    await axios.post(wfmUrl, { event, timestamp: new Date().toISOString(), data, metrics: { successRate: (metrics.successes / metrics.attempts * 100).toFixed(2) + '%' } });
  } catch (e) { console.error('WFM sync failed:', e.message); }
  logger.info('PREPARE_AUDIT', { contactListId: data.contactListId, campaignId: data.campaignId, status: data.success ? 'COMMITTED' : 'FAILED', latencyMs: data.latency, auditId: uuid.v4() });
};

// Main Execution
async function run() {
  console.log('Initializing Genesys Cloud client...');
  await platformClient.init({ clientId: CONFIG.clientId, clientSecret: CONFIG.clientSecret, basePath: CONFIG.basePath });

  console.log('Constructing prepare payload...');
  const payload = constructPreparePayload(CONFIG.contactListId, CONFIG.campaignId, CONFIG.contactUuids, CONFIG.sortColumn, CONFIG.agentIds);

  console.log('Validating dialer constraints...');
  await validatePrepareConstraints(platformClient, CONFIG.campaignId, payload);

  console.log('Verifying agent eligibility and skills...');
  await verifyAgentSkills(platformClient, CONFIG.agentIds, CONFIG.requiredSkills);

  console.log('Submitting prepare request...');
  let result;
  try {
    result = await prepareContactList(platformClient, CONFIG.contactListId, payload);
    console.log('Prepare successful.', result.response);
  } catch (err) {
    console.error('Prepare failed:', err.message);
    result = { success: false, error: err.message, latency: 0 };
  }

  console.log('Synchronizing with WFM and logging audit...');
  await syncWithWfmAndLog(CONFIG.wfmCallbackUrl, 'LIST_PREPARED', { ...result, contactListId: CONFIG.contactListId, campaignId: CONFIG.campaignId });
  console.log('Workflow complete.');
}

run().catch(console.error);

Common Errors & Debugging

Error: 401 Unauthorized

• Cause: Missing or expired OAuth token, or incorrect client credentials.
• Fix: Verify GENESYS_CLIENT_ID and GENESYS_CLIENT_SECRET match the Genesys Cloud admin console configuration. Ensure the OAuth token scope includes outbound:contactlist:write.
• Code Fix: The GenesysAuthManager class automatically refreshes tokens. If using raw HTTP, implement a token cache with a sixty-second buffer before expiration.

Error: 403 Forbidden

• Cause: The OAuth client lacks required scopes, or the user associated with the client does not have outbound campaign permissions.
• Fix: Assign the Outbound Campaign Admin or Outbound Campaign Manager role to the service account. Verify the token payload contains outbound:campaign:write and outbound:contactlist:write.
• Code Fix: Check the decoded JWT token using jwt-decode to confirm scope inclusion before executing prepare operations.

Error: 429 Too Many Requests

• Cause: Rate limit cascade across microservices or rapid prepare iterations exceeding tenant throughput limits.
• Fix: Implement exponential backoff. Read the retry-after header from the response. The provided prepareContactList function handles this automatically.
• Code Fix: Ensure the retry loop does not bypass the retry-after value. Adjust maxRetries based on tenant SLA.

Error: 400 Bad Request / 422 Unprocessable Entity

• Cause: Invalid filter syntax, mismatched campaign type, or exceeding maximum contact limits.
• Fix: Validate the filter.expression syntax against Genesys Cloud query rules. Confirm the campaign type is preview. Ensure maxContacts does not exceed 10000.
• Code Fix: The validatePrepareConstraints function catches these conditions before the HTTP call. Parse the error response body for specific field violations.

Official References

• Genesys Cloud Outbound API Documentation
• Prepare Contact List Endpoint
• JavaScript SDK Reference
• OAuth 2.0 Client Credentials Flow