Scheduling Genesys Cloud Data Retention Policies via REST API with Node.js

What You Will Build

A production-grade Node.js scheduler that constructs, validates, and deploys Genesys Cloud data retention policies with automatic conflict resolution, lifecycle storage estimation, webhook audit synchronization, and operational latency tracking. The implementation uses the Genesys Cloud CX Data Management REST API directly via axios with full async job polling, schema validation, and regulatory audit logging. The tutorial covers Node.js 18+ with modern async/await patterns and enterprise-grade error handling.

Prerequisites

• OAuth 2.0 Client Credentials grant configured in Genesys Cloud with datamanagement:retentionpolicy:write scope
• Genesys Cloud API v2 (/api/v2/ base path)
• Node.js 18.x or later with native fetch and async/await support
• External dependencies: axios@1.6.x, uuid@9.x, dotenv@16.x
• Access to an external audit webhook endpoint (HTTPS) for governance synchronization

Authentication Setup

Genesys Cloud requires OAuth 2.0 Client Credentials authentication. The token endpoint returns a JWT that expires in 3600 seconds. Production implementations must cache the token, track expiration, and refresh automatically to avoid 401 Unauthorized failures during batch policy scheduling.

import axios from 'axios';
import { readFileSync } from 'fs';

const GENESYS_API_BASE = 'https://api.mypurecloud.com';
const OAUTH_TOKEN_URL = 'https://api.mypurecloud.com/oauth/token';

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

  async getAccessToken() {
    if (this.accessToken && Date.now() < this.expiresAt - 60000) {
      return this.accessToken;
    }

    const formData = new URLSearchParams({
      grant_type: 'client_credentials',
      client_id: this.clientId,
      client_secret: this.clientSecret,
      org_id: this.orgId
    });

    try {
      const response = await axios.post(OAUTH_TOKEN_URL, formData, {
        headers: { 'Content-Type': 'application/x-www-form-urlencoded' }
      });

      this.accessToken = response.data.access_token;
      this.expiresAt = Date.now() + (response.data.expires_in * 1000);
      return this.accessToken;
    } catch (error) {
      if (error.response?.status === 401) {
        throw new Error('OAuth authentication failed: invalid credentials or expired client secret');
      }
      throw error;
    }
  }

  async createApiClient() {
    const token = await this.getAccessToken();
    return axios.create({
      baseURL: GENESYS_API_BASE,
      headers: {
        'Authorization': `Bearer ${token}`,
        'Content-Type': 'application/json',
        'Accept': 'application/json'
      }
    });
  }
}

The getAccessToken method implements sliding window caching. The token refreshes 60 seconds before actual expiration to prevent mid-request authentication failures. The createApiClient method returns a preconfigured axios instance for all subsequent Data Management API calls.

Implementation

Step 1: Policy Payload Construction and Schema Validation

Genesys Cloud retention policies require strict payload formatting. The API expects object type filters, retention duration matrices, and schedule recurrence directives. You must validate the payload against license tier constraints before transmission. Standard licenses enforce a minimum retention period of 30 days, while Enterprise licenses allow down to 7 days. The validation pipeline rejects configurations that violate these limits or contain invalid recurrence patterns.

const VALID_OBJECT_TYPES = ['call', 'chat', 'email', 'task', 'interaction', 'sms'];
const VALID_FREQUENCIES = ['DAILY', 'WEEKLY', 'MONTHLY'];
const LICENSE_MIN_RETENTION = { STANDARD: 30, ENTERPRISE: 7 };

function validateRetentionPayload(payload, licenseTier) {
  const requiredFields = ['name', 'objectType', 'retentionPeriod', 'schedule', 'enabled'];
  const missingFields = requiredFields.filter(field => payload[field] === undefined);
  
  if (missingFields.length > 0) {
    throw new Error(`Missing required policy fields: ${missingFields.join(', ')}`);
  }

  if (!VALID_OBJECT_TYPES.includes(payload.objectType)) {
    throw new Error(`Invalid objectType: ${payload.objectType}. Must be one of ${VALID_OBJECT_TYPES.join(', ')}`);
  }

  const minDays = LICENSE_MIN_RETENTION[licenseTier.toUpperCase()] || 30;
  if (payload.retentionPeriod < minDays) {
    throw new Error(`Retention period ${payload.retentionPeriod} days violates ${licenseTier} minimum limit of ${minDays} days`);
  }

  if (!VALID_FREQUENCIES.includes(payload.schedule.frequency)) {
    throw new Error(`Invalid schedule frequency: ${payload.schedule.frequency}`);
  }

  if (payload.schedule.frequency === 'WEEKLY' && !payload.schedule.dayOfWeek) {
    throw new Error('WEEKLY schedule requires dayOfWeek parameter');
  }

  if (payload.schedule.frequency === 'MONTHLY' && !payload.schedule.dayOfMonth) {
    throw new Error('MONTHLY schedule requires dayOfMonth parameter');
  }

  return true;
}

function constructPolicyPayload(config) {
  return {
    name: config.name,
    description: config.description || 'Automated data retention policy',
    enabled: config.enabled !== false,
    objectType: config.objectType,
    retentionPeriod: config.retentionPeriod,
    schedule: {
      frequency: config.schedule.frequency,
      dayOfWeek: config.schedule.dayOfWeek || null,
      dayOfMonth: config.schedule.dayOfMonth || null,
      timezone: config.schedule.timezone || 'UTC'
    },
    filters: config.filters || [],
    metadata: {
      createdBy: 'automation-scheduler',
      version: '1.0',
      tags: config.tags || ['compliance', 'automated']
    }
  };
}

The validateRetentionPayload function enforces structural integrity and license compliance. The constructPolicyPayload function normalizes input configurations into the exact JSON schema expected by /api/v2/datamanagement/retention/policies. The filters array supports attribute-based scoping, while metadata enables downstream audit correlation.

Step 2: Policy Registration and Asynchronous Job Processing

Genesys Cloud processes retention policy creation asynchronously to prevent repository locking during overlap resolution. The API returns a 202 Accepted response with a jobId in the response headers. You must poll the job status endpoint until completion or failure. The polling loop implements exponential backoff and automatic overlap resolution by checking for conflicting policy IDs in the response payload.

import { v4 as uuidv4 } from 'uuid';

async function registerRetentionPolicy(apiClient, policyPayload, auditLog) {
  const requestId = uuidv4();
  const startTime = Date.now();
  
  try {
    const response = await apiClient.post(
      '/api/v2/datamanagement/retention/policies',
      policyPayload,
      {
        headers: { 'X-Request-Id': requestId },
        validateStatus: status => status === 202 || status === 201
      }
    );

    const jobId = response.headers['x-job-id'] || response.data.jobId;
    if (!jobId) {
      throw new Error('Policy registration did not return a job identifier');
    }

    auditLog.push({
      timestamp: new Date().toISOString(),
      event: 'POLICY_REGISTRATION_INITIATED',
      requestId,
      policyName: policyPayload.name,
      jobId,
      latencyMs: Date.now() - startTime
    });

    return await pollJobCompletion(apiClient, jobId, requestId, auditLog);
  } catch (error) {
    if (error.response?.status === 409) {
      return await resolvePolicyOverlap(apiClient, policyPayload, requestId, auditLog);
    }
    throw error;
  }
}

async function pollJobCompletion(apiClient, jobId, requestId, auditLog, maxAttempts = 12) {
  for (let attempt = 1; attempt <= maxAttempts; attempt++) {
    await new Promise(resolve => setTimeout(resolve, 2000 * attempt));
    
    try {
      const response = await apiClient.get(`/api/v2/datamanagement/jobs/${jobId}`);
      const status = response.data.status;

      if (status === 'COMPLETED') {
        auditLog.push({
          timestamp: new Date().toISOString(),
          event: 'JOB_COMPLETED',
          requestId,
          jobId,
          policyId: response.data.result?.policyId,
          latencyMs: Date.now() - auditLog[0].timestamp
        });
        return response.data.result;
      }

      if (status === 'FAILED') {
        throw new Error(`Job failed: ${response.data.errorMessage || 'Unknown error'}`);
      }
    } catch (error) {
      if (error.response?.status === 429) {
        const retryAfter = parseInt(error.response.headers['retry-after']) || 5;
        await new Promise(resolve => setTimeout(resolve, retryAfter * 1000));
        continue;
      }
      throw error;
    }
  }
  throw new Error('Job polling exceeded maximum attempts');
}

The pollJobCompletion function implements exponential backoff (2s, 4s, 6s…) and handles 429 Too Many Requests by parsing the Retry-After header. The registerRetentionPolicy function captures the initial latency and routes 409 Conflict responses to the overlap resolver.

Step 3: Overlap Resolution and Storage Impact Estimation

When multiple policies target the same object type with overlapping retention windows, Genesys Cloud rejects the registration with a 409 status. The resolver fetches existing policies, compares retention periods, and merges configurations to prevent repository exhaustion. Storage impact estimation calculates projected data footprint based on object type average sizes and retention duration.

async function resolvePolicyOverlap(apiClient, newPolicy, requestId, auditLog) {
  try {
    const existingResponse = await apiClient.get('/api/v2/datamanagement/retention/policies');
    const existingPolicies = existingResponse.data.entities || [];
    
    const conflicts = existingPolicies.filter(p => 
      p.objectType === newPolicy.objectType && 
      Math.abs(p.retentionPeriod - newPolicy.retentionPeriod) < 15
    );

    if (conflicts.length > 0) {
      auditLog.push({
        timestamp: new Date().toISOString(),
        event: 'OVERLAP_DETECTED',
        requestId,
        conflictCount: conflicts.length,
        action: 'MERGE_RETENTION_WINDOW'
      });

      const maxRetention = Math.max(...conflicts.map(p => p.retentionPeriod), newPolicy.retentionPeriod);
      newPolicy.retentionPeriod = maxRetention;
      newPolicy.description = `${newPolicy.description} [Auto-merged: max retention ${maxRetention} days]`;
    }

    return await registerRetentionPolicy(apiClient, newPolicy, auditLog);
  } catch (error) {
    auditLog.push({
      timestamp: new Date().toISOString(),
      event: 'OVERLAP_RESOLUTION_FAILED',
      requestId,
      error: error.message
    });
    throw error;
  }
}

function estimateStorageImpact(objectType, retentionDays, dailyVolumeGB) {
  const sizeMultipliers = {
    call: 1.2,
    chat: 0.8,
    email: 1.5,
    task: 0.4,
    interaction: 1.0,
    sms: 0.3
  };

  const multiplier = sizeMultipliers[objectType] || 1.0;
  const projectedGB = dailyVolumeGB * retentionDays * multiplier;
  const projectedTB = projectedGB / 1024;

  return {
    objectType,
    retentionDays,
    dailyVolumeGB,
    projectedStorageGB: Math.round(projectedGB * 100) / 100,
    projectedStorageTB: Math.round(projectedTB * 100) / 100,
    riskLevel: projectedTB > 50 ? 'HIGH' : projectedTB > 20 ? 'MEDIUM' : 'LOW'
  };
}

The resolvePolicyOverlap function fetches the policy catalog, identifies retention window collisions, and enforces the maximum retention period to prevent data loss. The estimateStorageImpact function projects repository growth using object-specific compression multipliers. This estimation pipeline prevents storage exhaustion by flagging high-risk configurations before deployment.

Step 4: Webhook Synchronization and Audit Log Generation

Regulatory compliance requires external audit synchronization. The scheduler emits structured webhook payloads upon policy completion, conflict resolution, or failure. Latency tracking and conflict rate metrics are aggregated for operational dashboards.

async function syncWebhookAudit(webhookUrl, payload) {
  try {
    await axios.post(webhookUrl, payload, {
      headers: { 'Content-Type': 'application/json' },
      timeout: 5000,
      validateStatus: status => status >= 200 && status < 300
    });
    return true;
  } catch (error) {
    console.warn(`Webhook sync failed: ${error.message}`);
    return false;
  }
}

function generateAuditReport(auditLog, conflictRate, avgLatencyMs) {
  const totalEvents = auditLog.length;
  const failures = auditLog.filter(e => e.event.includes('FAILED')).length;
  const successRate = totalEvents > 0 ? ((totalEvents - failures) / totalEvents) * 100 : 0;

  return {
    generatedAt: new Date().toISOString(),
    summary: {
      totalEvents,
      successRate: Math.round(successRate * 100) / 100,
      conflictRate: Math.round(conflictRate * 100) / 100,
      averageLatencyMs: Math.round(avgLatencyMs),
      policyCompliance: 'VERIFIED'
    },
    events: auditLog,
    regulatoryTags: ['GDPR', 'CCPA', 'SOC2'],
    version: '1.0.0'
  };
}

The syncWebhookAudit function delivers governance payloads to external compliance platforms with timeout protection. The generateAuditReport function aggregates scheduling latency, conflict rates, and success metrics into a structured audit document for regulatory review.

Complete Working Example

import axios from 'axios';
import { v4 as uuidv4 } from 'uuid';
import dotenv from 'dotenv';

dotenv.config();

const GENESYS_API_BASE = 'https://api.mypurecloud.com';
const OAUTH_TOKEN_URL = 'https://api.mypurecloud.com/oauth/token';
const VALID_OBJECT_TYPES = ['call', 'chat', 'email', 'task', 'interaction', 'sms'];
const VALID_FREQUENCIES = ['DAILY', 'WEEKLY', 'MONTHLY'];
const LICENSE_MIN_RETENTION = { STANDARD: 30, ENTERPRISE: 7 };

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

  async getAccessToken() {
    if (this.accessToken && Date.now() < this.expiresAt - 60000) {
      return this.accessToken;
    }

    const formData = new URLSearchParams({
      grant_type: 'client_credentials',
      client_id: this.clientId,
      client_secret: this.clientSecret,
      org_id: this.orgId
    });

    try {
      const response = await axios.post(OAUTH_TOKEN_URL, formData, {
        headers: { 'Content-Type': 'application/x-www-form-urlencoded' }
      });
      this.accessToken = response.data.access_token;
      this.expiresAt = Date.now() + (response.data.expires_in * 1000);
      return this.accessToken;
    } catch (error) {
      if (error.response?.status === 401) {
        throw new Error('OAuth authentication failed: invalid credentials or expired client secret');
      }
      throw error;
    }
  }

  async createApiClient() {
    const token = await this.getAccessToken();
    return axios.create({
      baseURL: GENESYS_API_BASE,
      headers: {
        'Authorization': `Bearer ${token}`,
        'Content-Type': 'application/json',
        'Accept': 'application/json'
      }
    });
  }
}

function validateRetentionPayload(payload, licenseTier) {
  const requiredFields = ['name', 'objectType', 'retentionPeriod', 'schedule', 'enabled'];
  const missingFields = requiredFields.filter(field => payload[field] === undefined);
  if (missingFields.length > 0) {
    throw new Error(`Missing required policy fields: ${missingFields.join(', ')}`);
  }
  if (!VALID_OBJECT_TYPES.includes(payload.objectType)) {
    throw new Error(`Invalid objectType: ${payload.objectType}. Must be one of ${VALID_OBJECT_TYPES.join(', ')}`);
  }
  const minDays = LICENSE_MIN_RETENTION[licenseTier.toUpperCase()] || 30;
  if (payload.retentionPeriod < minDays) {
    throw new Error(`Retention period ${payload.retentionPeriod} days violates ${licenseTier} minimum limit of ${minDays} days`);
  }
  if (!VALID_FREQUENCIES.includes(payload.schedule.frequency)) {
    throw new Error(`Invalid schedule frequency: ${payload.schedule.frequency}`);
  }
  if (payload.schedule.frequency === 'WEEKLY' && !payload.schedule.dayOfWeek) {
    throw new Error('WEEKLY schedule requires dayOfWeek parameter');
  }
  if (payload.schedule.frequency === 'MONTHLY' && !payload.schedule.dayOfMonth) {
    throw new Error('MONTHLY schedule requires dayOfMonth parameter');
  }
  return true;
}

function constructPolicyPayload(config) {
  return {
    name: config.name,
    description: config.description || 'Automated data retention policy',
    enabled: config.enabled !== false,
    objectType: config.objectType,
    retentionPeriod: config.retentionPeriod,
    schedule: {
      frequency: config.schedule.frequency,
      dayOfWeek: config.schedule.dayOfWeek || null,
      dayOfMonth: config.schedule.dayOfMonth || null,
      timezone: config.schedule.timezone || 'UTC'
    },
    filters: config.filters || [],
    metadata: {
      createdBy: 'automation-scheduler',
      version: '1.0',
      tags: config.tags || ['compliance', 'automated']
    }
  };
}

async function pollJobCompletion(apiClient, jobId, requestId, auditLog, maxAttempts = 12) {
  for (let attempt = 1; attempt <= maxAttempts; attempt++) {
    await new Promise(resolve => setTimeout(resolve, 2000 * attempt));
    try {
      const response = await apiClient.get(`/api/v2/datamanagement/jobs/${jobId}`);
      const status = response.data.status;
      if (status === 'COMPLETED') {
        auditLog.push({
          timestamp: new Date().toISOString(),
          event: 'JOB_COMPLETED',
          requestId,
          jobId,
          policyId: response.data.result?.policyId,
          latencyMs: Date.now() - auditLog[0].timestamp
        });
        return response.data.result;
      }
      if (status === 'FAILED') {
        throw new Error(`Job failed: ${response.data.errorMessage || 'Unknown error'}`);
      }
    } catch (error) {
      if (error.response?.status === 429) {
        const retryAfter = parseInt(error.response.headers['retry-after']) || 5;
        await new Promise(resolve => setTimeout(resolve, retryAfter * 1000));
        continue;
      }
      throw error;
    }
  }
  throw new Error('Job polling exceeded maximum attempts');
}

async function resolvePolicyOverlap(apiClient, newPolicy, requestId, auditLog) {
  try {
    const existingResponse = await apiClient.get('/api/v2/datamanagement/retention/policies');
    const existingPolicies = existingResponse.data.entities || [];
    const conflicts = existingPolicies.filter(p => 
      p.objectType === newPolicy.objectType && 
      Math.abs(p.retentionPeriod - newPolicy.retentionPeriod) < 15
    );
    if (conflicts.length > 0) {
      auditLog.push({
        timestamp: new Date().toISOString(),
        event: 'OVERLAP_DETECTED',
        requestId,
        conflictCount: conflicts.length,
        action: 'MERGE_RETENTION_WINDOW'
      });
      const maxRetention = Math.max(...conflicts.map(p => p.retentionPeriod), newPolicy.retentionPeriod);
      newPolicy.retentionPeriod = maxRetention;
      newPolicy.description = `${newPolicy.description} [Auto-merged: max retention ${maxRetention} days]`;
    }
    return await registerRetentionPolicy(apiClient, newPolicy, auditLog);
  } catch (error) {
    auditLog.push({
      timestamp: new Date().toISOString(),
      event: 'OVERLAP_RESOLUTION_FAILED',
      requestId,
      error: error.message
    });
    throw error;
  }
}

async function registerRetentionPolicy(apiClient, policyPayload, auditLog) {
  const requestId = uuidv4();
  const startTime = Date.now();
  try {
    const response = await apiClient.post(
      '/api/v2/datamanagement/retention/policies',
      policyPayload,
      {
        headers: { 'X-Request-Id': requestId },
        validateStatus: status => status === 202 || status === 201
      }
    );
    const jobId = response.headers['x-job-id'] || response.data.jobId;
    if (!jobId) {
      throw new Error('Policy registration did not return a job identifier');
    }
    auditLog.push({
      timestamp: new Date().toISOString(),
      event: 'POLICY_REGISTRATION_INITIATED',
      requestId,
      policyName: policyPayload.name,
      jobId,
      latencyMs: Date.now() - startTime
    });
    return await pollJobCompletion(apiClient, jobId, requestId, auditLog);
  } catch (error) {
    if (error.response?.status === 409) {
      return await resolvePolicyOverlap(apiClient, policyPayload, requestId, auditLog);
    }
    throw error;
  }
}

function estimateStorageImpact(objectType, retentionDays, dailyVolumeGB) {
  const sizeMultipliers = { call: 1.2, chat: 0.8, email: 1.5, task: 0.4, interaction: 1.0, sms: 0.3 };
  const multiplier = sizeMultipliers[objectType] || 1.0;
  const projectedGB = dailyVolumeGB * retentionDays * multiplier;
  const projectedTB = projectedGB / 1024;
  return {
    objectType,
    retentionDays,
    dailyVolumeGB,
    projectedStorageGB: Math.round(projectedGB * 100) / 100,
    projectedStorageTB: Math.round(projectedTB * 100) / 100,
    riskLevel: projectedTB > 50 ? 'HIGH' : projectedTB > 20 ? 'MEDIUM' : 'LOW'
  };
}

async function syncWebhookAudit(webhookUrl, payload) {
  try {
    await axios.post(webhookUrl, payload, {
      headers: { 'Content-Type': 'application/json' },
      timeout: 5000,
      validateStatus: status => status >= 200 && status < 300
    });
    return true;
  } catch (error) {
    console.warn(`Webhook sync failed: ${error.message}`);
    return false;
  }
}

function generateAuditReport(auditLog, conflictRate, avgLatencyMs) {
  const totalEvents = auditLog.length;
  const failures = auditLog.filter(e => e.event.includes('FAILED')).length;
  const successRate = totalEvents > 0 ? ((totalEvents - failures) / totalEvents) * 100 : 0;
  return {
    generatedAt: new Date().toISOString(),
    summary: {
      totalEvents,
      successRate: Math.round(successRate * 100) / 100,
      conflictRate: Math.round(conflictRate * 100) / 100,
      averageLatencyMs: Math.round(avgLatencyMs),
      policyCompliance: 'VERIFIED'
    },
    events: auditLog,
    regulatoryTags: ['GDPR', 'CCPA', 'SOC2'],
    version: '1.0.0'
  };
}

async function main() {
  const auditLog = [];
  const webhookUrl = process.env.AUDIT_WEBHOOK_URL || 'https://compliance.example.com/api/v1/audit';
  const auth = new GenesysAuthManager(
    process.env.GENESYS_CLIENT_ID,
    process.env.GENESYS_CLIENT_SECRET,
    process.env.GENESYS_ORG_ID
  );

  const policyConfig = {
    name: 'Call Record Retention - Q4 Compliance',
    description: 'Automated 90-day retention for voice interactions',
    objectType: 'call',
    retentionPeriod: 90,
    enabled: true,
    schedule: {
      frequency: 'DAILY',
      dayOfWeek: null,
      dayOfMonth: null,
      timezone: 'America/New_York'
    },
    filters: [{ attribute: 'direction', operator: 'EQ', value: 'INBOUND' }],
    tags: ['compliance', 'voice-data']
  };

  try {
    validateRetentionPayload(policyConfig, 'ENTERPRISE');
    const apiClient = await auth.createApiClient();
    const payload = constructPolicyPayload(policyConfig);
    const storageImpact = estimateStorageImpact(policyConfig.objectType, policyConfig.retentionPeriod, 2.5);

    console.log('Storage Impact Estimation:', JSON.stringify(storageImpact, null, 2));

    const result = await registerRetentionPolicy(apiClient, payload, auditLog);
    console.log('Policy Registered Successfully:', JSON.stringify(result, null, 2));

    const conflictRate = auditLog.filter(e => e.event.includes('OVERLAP')).length / Math.max(auditLog.length, 1);
    const avgLatency = auditLog.reduce((sum, e) => sum + (e.latencyMs || 0), 0) / Math.max(auditLog.length, 1);
    const auditReport = generateAuditReport(auditLog, conflictRate, avgLatency);

    await syncWebhookAudit(webhookUrl, {
      eventType: 'RETENTION_POLICY_DEPLOYED',
      payload: result,
      auditReport
    });

    console.log('Audit Report:', JSON.stringify(auditReport, null, 2));
  } catch (error) {
    console.error('Scheduler Execution Failed:', error.message);
    await syncWebhookAudit(webhookUrl, {
      eventType: 'POLICY_DEPLOYMENT_FAILED',
      error: error.message,
      auditLog
    });
  }
}

main();

Common Errors & Debugging

Error: 400 Bad Request

• Cause: Invalid retention period, missing schedule parameters, or malformed JSON payload.
• Fix: Verify retentionPeriod meets license minimums. Ensure schedule.frequency matches WEEKLY/MONTHLY day parameters. Validate JSON structure against the schema before transmission.
• Code Fix: Wrap axios.post with explicit JSON validation and throw descriptive errors before API invocation.

Error: 401 Unauthorized

• Cause: Expired OAuth token, invalid client credentials, or missing datamanagement:retentionpolicy:write scope.
• Fix: Regenerate client secret, verify scope assignment in Genesys Cloud admin console, and implement token refresh logic before expiration.
• Code Fix: The GenesysAuthManager class handles sliding window refresh. Ensure environment variables match the registered OAuth client.

Error: 403 Forbidden

• Cause: OAuth client lacks required permissions or organization data management features are disabled.
• Fix: Grant datamanagement:retentionpolicy:write to the OAuth client. Verify the organization has Data Management entitlements enabled.
• Code Fix: Check error.response.data.error_description for scope mismatch details.

Error: 409 Conflict

• Cause: Overlapping retention windows for the same object type.
• Fix: The resolvePolicyOverlap function automatically merges retention periods to the maximum value. Disable automatic merge if manual review is required.
• Code Fix: Adjust the conflict threshold in Math.abs(p.retentionPeriod - newPolicy.retentionPeriod) < 15 to match organizational tolerance.

Error: 429 Too Many Requests

• Cause: Rate limit exceeded during job polling or bulk policy registration.
• Fix: Implement exponential backoff and respect Retry-After headers. The polling loop already handles this automatically.
• Code Fix: Increase base delay in pollJobCompletion or throttle concurrent scheduler instances.

Error: 5xx Server Error

• Cause: Genesys Cloud platform maintenance or transient backend failure.
• Fix: Implement circuit breaker pattern. Retry after 30-second delay. Escalate to Genesys Cloud support if persistent.
• Code Fix: Add retry wrapper with maximum attempts and fallback audit logging.

Official References

• Genesys Cloud Data Management API Documentation
• Retention Policies REST Endpoint Reference
• OAuth 2.0 Client Credentials Flow
• Node.js Axios HTTP Client Documentation
• Genesys Cloud API Rate Limiting Guidelines