Automating Genesys Cloud Outbound Campaign Lifecycle via API with TypeScript

Automating Genesys Cloud Outbound Campaign Lifecycle via API with TypeScript

What You Will Build

A TypeScript orchestrator that creates, validates, activates, monitors, and adjusts Genesys Cloud outbound campaigns programmatically. The module constructs campaign definition payloads with list references, script bindings, and dialer strategy assignments, validates configurations against regulatory constraints, handles state transitions via polling, analyzes real-time disposition metrics, synchronizes results to external analytics, and maintains compliance audit logs. The implementation uses the Genesys Cloud REST API with explicit HTTP request/response cycles and production-grade error handling.

Prerequisites

  • OAuth 2.0 Client Credentials grant type registered in Genesys Cloud
  • Required scopes: campaign:read, campaign:write, analytics:conversations:query, integrations:webhook:write
  • Node.js 18 or later
  • Dependencies: npm install axios dotenv uuid @types/node
  • A Genesys Cloud environment URL, client ID, and client secret
  • Pre-existing outbound list (status: ready) and script (status: published) in the target environment

Authentication Setup

The Genesys Cloud Node SDK handles token acquisition and automatic refresh. You will initialize the client once and attach the bearer token to an axios instance for direct REST calls. The SDK caches the access token and refreshes it transparently before expiration.

import { PlatformClient } from '@genesyscloud/purecloud-api-client-nodejs';
import axios, { AxiosInstance, AxiosError } from 'axios';

export class GenesysAuth {
  private client: PlatformClient;
  private axiosInstance: AxiosInstance;

  constructor(env: string, clientId: string, clientSecret: string) {
    this.client = new PlatformClient();
    this.axiosInstance = axios.create({
      baseURL: `https://${env}.mypurecloud.com/api/v2`,
      headers: { 'Content-Type': 'application/json' },
      timeout: 15000
    });

    this.axiosInstance.interceptors.request.use(async (config) => {
      const token = await this.client.getAccessToken();
      config.headers.Authorization = `Bearer ${token}`;
      return config;
    });
  }

  async init(): Promise<void> {
    await this.client.loginClientCredentials({
      clientId,
      clientSecret,
      baseUrl: this.axiosInstance.defaults.baseURL?.replace('/api/v2', '')
    });
  }

  getAxios(): AxiosInstance {
    return this.axiosInstance;
  }
}

Implementation

Step 1: Campaign Definition and Regulatory Validation

Campaign creation requires a fully formed JSON payload. You must validate that the referenced list and script are in the correct state before submission. Regulatory constraints are enforced through the rules object, which controls maximum attempts, daily call limits, and time zone alignment. The API returns a 400 status if constraints conflict with organizational policies or resource availability.

interface CampaignPayload {
  name: string;
  status: 'draft';
  listId: string;
  scriptId: string;
  dialerType: 'predictive' | 'progressive';
  dialerConfig: {
    dialerStrategy: string;
    maxConcurrentCalls: number;
    predictiveRate: number;
  };
  rules: {
    maxAttempts: number;
    callLimit: number;
    timeZone: string;
    doNotCall: boolean;
  };
  wrapUpCode: string;
  skillGroups: string[];
}

export async function validateAndBuildCampaign(
  axiosClient: AxiosInstance,
  config: Omit<CampaignPayload, 'status'>
): Promise<CampaignPayload> {
  // Validate list status
  const listRes = await axiosClient.get(`/outbound/lists/${config.listId}`);
  if (listRes.data.status !== 'ready') {
    throw new Error(`List ${config.listId} must be in 'ready' status. Current: ${listRes.data.status}`);
  }

  // Validate script status
  const scriptRes = await axiosClient.get(`/outbound/scripts/${config.scriptId}`);
  if (scriptRes.data.status !== 'published') {
    throw new Error(`Script ${config.scriptId} must be 'published'. Current: ${scriptRes.data.status}`);
  }

  // Regulatory constraint validation
  if (config.rules.maxAttempts > 10) {
    throw new Error('Regulatory violation: maxAttempts cannot exceed 10');
  }
  if (config.rules.callLimit <= 0) {
    throw new Error('Regulatory violation: callLimit must be greater than 0');
  }

  return {
    ...config,
    status: 'draft'
  };
}

export async function createCampaign(
  axiosClient: AxiosInstance,
  payload: CampaignPayload
): Promise<string> {
  try {
    const res = await axiosClient.post('/outbound/campaigns', payload);
    return res.data.id;
  } catch (error) {
    if ((error as AxiosError).response?.status === 400) {
      throw new Error('Campaign validation failed. Check list availability, script status, or regulatory rules.');
    }
    throw error;
  }
}

Required OAuth scope: campaign:read, campaign:write
Expected response: 201 Created with JSON body containing id, name, status, uri, and selfUri.

Step 2: State Transitions and Polling with Error Recovery

Campaigns transition from draft to active via the activation endpoint. You must poll the campaign status to confirm the transition completed. The API returns 409 if the campaign is already in the target state. You will implement exponential backoff for rate limits and a timeout guard for long-running transitions.

interface PollingConfig {
  maxAttempts: number;
  baseDelay: number;
  timeout: number;
}

async function retryOn429<T>(fn: () => Promise<T>, config: PollingConfig): Promise<T> {
  let delay = config.baseDelay;
  for (let i = 0; i < config.maxAttempts; i++) {
    try {
      return await fn();
    } catch (error) {
      const err = error as AxiosError;
      if (err.response?.status === 429) {
        await new Promise(res => setTimeout(res, delay));
        delay *= 2;
        continue;
      }
      throw error;
    }
  }
  throw new Error('Max retry attempts exceeded for 429 responses');
}

export async function activateCampaign(
  axiosClient: AxiosInstance,
  campaignId: string,
  pollingConfig: PollingConfig = { maxAttempts: 15, baseDelay: 2000, timeout: 60000 }
): Promise<void> {
  // Trigger activation
  await retryOn429(() => axiosClient.post(`/outbound/campaigns/${campaignId}/actions/activate`), pollingConfig);

  // Poll for status confirmation
  const startTime = Date.now();
  while (Date.now() - startTime < pollingConfig.timeout) {
    const res = await retryOn429(() => axiosClient.get(`/outbound/campaigns/${campaignId}`), pollingConfig);
    if (res.data.status === 'active') return;
    if (res.data.status === 'paused') throw new Error('Campaign failed to activate and entered paused state');
    await new Promise(res => setTimeout(res, pollingConfig.baseDelay));
  }
  throw new Error('Campaign activation timed out');
}

export async function pauseCampaign(
  axiosClient: AxiosInstance,
  campaignId: string,
  pollingConfig: PollingConfig = { maxAttempts: 10, baseDelay: 2000, timeout: 30000 }
): Promise<void> {
  await retryOn429(() => axiosClient.post(`/outbound/campaigns/${campaignId}/actions/pause`), pollingConfig);
  
  const startTime = Date.now();
  while (Date.now() - startTime < pollingConfig.timeout) {
    const res = await retryOn429(() => axiosClient.get(`/outbound/campaigns/${campaignId}`), pollingConfig);
    if (res.data.status === 'paused') return;
    await new Promise(res => setTimeout(res, pollingConfig.baseDelay));
  }
  throw new Error('Campaign pause timed out');
}

Required OAuth scope: campaign:write, campaign:read
Expected response: 200 OK with empty body for activation/pause. Polling returns 200 OK with campaign JSON including status: active or status: paused.

Step 3: Performance Analysis and Dynamic Adjustment

You will query real-time disposition metrics to calculate conversion rates and contact coverage. If the conversion rate falls below a defined threshold, the orchestrator pauses the campaign and adjusts the dialer strategy. The analytics endpoint supports pagination via nextPageToken, but this example fetches a single window for immediate decisioning.

interface AnalyticsQuery {
  dateFrom: string;
  dateTo: string;
  size: number;
  groupBy: string[];
  filter: {
    type: 'and';
    clauses: Array<{ type: 'equals'; path: string; value: string }>;
  };
}

export async function analyzeCampaignPerformance(
  axiosClient: AxiosInstance,
  campaignId: string,
  windowHours: number = 1
): Promise<{ conversionRate: number; totalAttempts: number; connected: number }> {
  const now = new Date().toISOString();
  const dateFrom = new Date(Date.now() - windowHours * 60 * 60 * 1000).toISOString();

  const query: AnalyticsQuery = {
    dateFrom,
    dateTo: now,
    size: 100,
    groupBy: ['dispositionCode'],
    filter: {
      type: 'and',
      clauses: [
        { type: 'equals', path: 'conversationType', value: 'outbound' },
        { type: 'equals', path: 'campaignId', value: campaignId }
      ]
    }
  };

  try {
    const res = await axiosClient.post('/analytics/conversations/summary/query', query);
    const groups = res.data.groups || [];
    
    let totalAttempts = 0;
    let connected = 0;

    for (const group of groups) {
      const disposition = group.key;
      const count = group.metrics?.total?.value || 0;
      totalAttempts += count;
      if (disposition.toLowerCase().includes('connected')) {
        connected += count;
      }
    }

    const conversionRate = totalAttempts > 0 ? connected / totalAttempts : 0;
    return { conversionRate, totalAttempts, connected };
  } catch (error) {
    if ((error as AxiosError).response?.status === 429) {
      throw new Error('Analytics rate limit exceeded. Reduce query frequency.');
    }
    throw error;
  }
}

export async function adjustDialerStrategy(
  axiosClient: AxiosInstance,
  campaignId: string,
  newPredictiveRate: number
): Promise<void> {
  try {
    await axiosClient.patch(`/outbound/campaigns/${campaignId}`, {
      dialerConfig: {
        predictiveRate: newPredictiveRate
      }
    });
  } catch (error) {
    if ((error as AxiosError).response?.status === 409) {
      throw new Error('Cannot adjust dialer strategy while campaign is transitioning states');
    }
    throw error;
  }
}

Required OAuth scope: analytics:conversations:query, campaign:write
Expected response: 200 OK with JSON containing groups array. Each group includes key (disposition code) and metrics.total.value.

Step 4: Webhook Synchronization and Audit Logging

You will register a webhook to push campaign lifecycle events to an external analytics platform. The orchestrator maintains a structured audit log for compliance tracking. Each log entry records the action, timestamp, campaign identifier, and outcome.

interface AuditEntry {
  timestamp: string;
  campaignId: string;
  action: string;
  status: 'success' | 'failure';
  details: Record<string, unknown>;
}

class AuditLogger {
  private logs: AuditEntry[] = [];

  log(campaignId: string, action: string, status: 'success' | 'failure', details: Record<string, unknown>): void {
    this.logs.push({
      timestamp: new Date().toISOString(),
      campaignId,
      action,
      status,
      details
    });
  }

  getLogs(): AuditEntry[] {
    return [...this.logs];
  }
}

export async function registerSyncWebhook(
  axiosClient: AxiosInstance,
  webhookUrl: string,
  campaignId: string
): Promise<string> {
  try {
    const res = await axiosClient.post('/integrations/webhooks', {
      name: `CampaignSync-${campaignId}`,
      enabled: true,
      endpoint: webhookUrl,
      filter: {
        type: 'and',
        clauses: [
          { type: 'equals', path: 'eventType', value: 'outbound.campaign.completed' }
        ]
      },
      retryPolicy: { maxRetries: 3, retryInterval: 'PT30S' }
    });
    return res.data.id;
  } catch (error) {
    if ((error as AxiosError).response?.status === 403) {
      throw new Error('Missing integrations:webhook:write scope');
    }
    throw error;
  }
}

Required OAuth scope: integrations:webhook:write
Expected response: 201 Created with webhook id, uri, and selfUri.

Complete Working Example

The following module combines authentication, validation, state management, analytics, and audit logging into a single orchestrator. Replace the environment variables before execution.

import { GenesysAuth } from './auth'; // Assume exported from previous section
import { validateAndBuildCampaign, createCampaign, activateCampaign, pauseCampaign, analyzeCampaignPerformance, adjustDialerStrategy, registerSyncWebhook } from './campaign'; // Assume exported
import { AuditLogger } from './audit'; // Assume exported

async function runOrchestrator(): Promise<void> {
  const env = process.env.GENESYS_ENV!;
  const clientId = process.env.GENESYS_CLIENT_ID!;
  const clientSecret = process.env.GENESYS_CLIENT_SECRET!;
  const webhookUrl = process.env.ANALYTICS_WEBHOOK_URL!;

  const auth = new GenesysAuth(env, clientId, clientSecret);
  await auth.init();
  const client = auth.getAxios();
  const logger = new AuditLogger();

  const campaignConfig = {
    name: 'Q4 Regulatory Outreach',
    listId: process.env.LIST_ID!,
    scriptId: process.env.SCRIPT_ID!,
    dialerType: 'predictive' as const,
    dialerConfig: { dialerStrategy: 'standard', maxConcurrentCalls: 15, predictiveRate: 1.2 },
    rules: { maxAttempts: 3, callLimit: 500, timeZone: 'America/New_York', doNotCall: true },
    wrapUpCode: 'outbound-complete',
    skillGroups: [process.env.SKILL_GROUP_ID!]
  };

  try {
    // 1. Validate and create
    const payload = await validateAndBuildCampaign(client, campaignConfig);
    const campaignId = await createCampaign(client, payload);
    logger.log(campaignId, 'create', 'success', { name: payload.name });

    // 2. Activate
    await activateCampaign(client, campaignId);
    logger.log(campaignId, 'activate', 'success', {});

    // 3. Register webhook
    const webhookId = await registerSyncWebhook(client, webhookUrl, campaignId);
    logger.log(campaignId, 'register_webhook', 'success', { webhookId });

    // 4. Monitor and adjust
    const metrics = await analyzeCampaignPerformance(client, campaignId, 1);
    logger.log(campaignId, 'analyze', 'success', { conversionRate: metrics.conversionRate });

    if (metrics.conversionRate < 0.15) {
      await pauseCampaign(client, campaignId);
      await adjustDialerStrategy(client, campaignId, 0.8);
      logger.log(campaignId, 'pause_and_adjust', 'success', { reason: 'low_conversion' });
    }

    console.log('Orchestration complete. Audit log:', logger.getLogs());
  } catch (error) {
    logger.log('unknown', 'orchestrator_fail', 'failure', { error: (error as Error).message });
    console.error('Orchestration failed:', error);
  }
}

runOrchestrator();

Common Errors & Debugging

Error: 401 Unauthorized

  • Cause: OAuth token expired or client credentials invalid.
  • Fix: Verify GENESYS_CLIENT_ID and GENESYS_CLIENT_SECRET. The SDK refreshes tokens automatically, but network timeouts during refresh will cause 401. Implement a retry wrapper around getAccessToken() if operating in unstable environments.
  • Code fix: Wrap axios calls in the retryOn429 utility or add a custom interceptor that catches 401 and triggers a forced re-login.

Error: 403 Forbidden

  • Cause: Missing OAuth scopes or insufficient role permissions for the API user.
  • Fix: Ensure the OAuth client is granted campaign:read, campaign:write, analytics:conversations:query, and integrations:webhook:write. Assign the API user the Campaign Manager or Administrator role in the Genesys Cloud admin console.
  • Code fix: Validate scopes during initialization by calling GET /api/v2/iam/oauth/tokeninfo and checking the scope claim.

Error: 400 Bad Request

  • Cause: Campaign payload violates validation rules, list is not ready, or script is not published.
  • Fix: Inspect the errors array in the response body. Ensure listId references a completed export and scriptId references a published version. Verify rules.maxAttempts does not exceed organizational limits.
  • Code fix: The validateAndBuildCampaign function explicitly checks list/script status and constraint boundaries before submission.

Error: 429 Too Many Requests

  • Cause: Exceeding Genesys Cloud rate limits (typically 100 requests per second for outbound APIs, 50 for analytics).
  • Fix: Implement exponential backoff. The retryOn429 function handles this automatically. Reduce polling frequency and batch analytics queries.
  • Code fix: Use the provided retryOn429 wrapper for all state transitions and status checks.

Error: 409 Conflict

  • Cause: Attempting to activate a campaign that is already active, or modifying dialer config during a state transition.
  • Fix: Check current status before triggering actions. The polling logic in activateCampaign and pauseCampaign verifies the final state before proceeding.
  • Code fix: Add a status check before activation: if (currentStatus === 'active') return;

Official References