Creating Genesys Cloud Task Router Work Items via API with TypeScript

Creating Genesys Cloud Task Router Work Items via API with TypeScript

What You Will Build

This tutorial builds a TypeScript orchestrator that creates task router work items, validates routability against queue capacity constraints and skill requirement matrices, subscribes to status transition webhooks, synchronizes with downstream fulfillment platforms, tracks aging and SLA breach rates, and generates structured audit logs. It uses the Genesys Cloud Task Management API and native fetch with explicit retry logic. It covers TypeScript with Node.js 18+.

Prerequisites

  • OAuth Client Type: Service Account (Client Credentials)
  • Required OAuth Scopes: taskmanagement:workitem, taskmanagement:workitem:create, routing:queue:read, webhook:write
  • API Version: Genesys Cloud API v2
  • Language/Runtime: TypeScript 5.0+, Node.js 18+ (native fetch support)
  • External Dependencies: dotenv, uuid, typescript, ts-node
  • SDK Reference: @genesyscloud/api-client (official TypeScript SDK). The examples below use native fetch for full HTTP transparency, but map directly to TaskManagementApi, RoutingApi, and WebhooksApi SDK classes.

Authentication Setup

Genesys Cloud uses a timestamped HMAC signature for the Client Credentials flow. The signature prevents replay attacks and ensures request integrity. The following function caches the access token and refreshes it before expiration.

import { createHash } from 'node:crypto';

const GENESYS_SUBDOMAIN = process.env.GENESYS_SUBDOMAIN!;
const CLIENT_ID = process.env.CLIENT_ID!;
const CLIENT_SECRET = process.env.CLIENT_SECRET!;
const API_BASE = `https://${GENESYS_SUBDOMAIN}.mygen.com/api/v2`;

let accessToken: string | null = null;
let tokenExpiry: number = 0;

async function getAccessToken(): Promise<string> {
  if (accessToken && Date.now() < tokenExpiry - 60000) {
    return accessToken;
  }

  const timestamp = Math.floor(Date.now() / 1000);
  const signature = createHash('sha256')
    .update(`${CLIENT_ID}:${CLIENT_SECRET}:${timestamp}`)
    .digest('base64');

  const response = await fetch('https://login.mypurecloud.com/oauth/token', {
    method: 'POST',
    headers: { 'Content-Type': 'application/x-www-form-urlencoded' },
    body: new URLSearchParams({
      grant_type: 'client_credentials',
      client_id: CLIENT_ID,
      client_secret: CLIENT_SECRET,
      timestamp: timestamp.toString(),
      signature,
    }),
  });

  if (!response.ok) {
    const errorBody = await response.text();
    throw new Error(`OAuth token acquisition failed [${response.status}]: ${errorBody}`);
  }

  const data = await response.json();
  accessToken = data.access_token;
  tokenExpiry = Date.now() + (data.expires_in * 1000);
  return accessToken;
}

The signature concatenates the client ID, secret, and Unix timestamp. The server validates the HMAC against its stored secret. This design eliminates the need for a separate signing endpoint and keeps the flow stateless.

Implementation

Step 1: Construct and Validate Work Item Payloads

Task router work items require a valid workItemTypeId, a target queueId, a priority level between 1 and 5, and optional custom attributes. Genesys Cloud does not expose a direct “validate routability” endpoint. You must validate against queue configuration and routing matrices before submission to prevent 400 errors and routing deadlocks.

The following function fetches queue configuration, verifies capacity constraints, checks skill requirement alignment, and constructs the final payload. It also injects an externalId for upstream order management correlation.

interface WorkItemInput {
  workItemTypeId: string;
  queueId: string;
  priority: number;
  customAttributes: Record<string, string | number | boolean>;
  externalId: string;
}

interface QueueConfig {
  id: string;
  status: string;
  routing: {
    queueConfig?: {
      maxCapacity?: number;
      routingConfig?: {
        routingType: string;
        skills?: Array<{ id: string; name: string }>;
      };
    };
  };
}

async function validateAndConstructWorkItem(input: WorkItemInput): Promise<Record<string, unknown>> {
  const token = await getAccessToken();

  const queueRes = await fetch(`${API_BASE}/routing/queues/${input.queueId}`, {
    headers: { Authorization: `Bearer ${token}` },
  });

  if (!queueRes.ok) {
    throw new Error(`Queue configuration fetch failed [${queueRes.status}]. Verify routing:queue:read scope.`);
  }

  const queueConfig: QueueConfig = await queueRes.json();

  if (queueConfig.status !== 'ACTIVE') {
    throw new Error(`Queue ${input.queueId} is not ACTIVE. Work items will not route.`);
  }

  const routingConfig = queueConfig.routing.queueConfig;
  if (!routingConfig) {
    throw new Error(`Queue ${input.queueId} lacks routing configuration. Check queue settings in Genesys.`);
  }

  // Validate priority bounds
  const clampedPriority = Math.max(1, Math.min(5, input.priority));

  // Validate skill requirement matrix alignment
  // Genesys routes based on agent skills matching queue routing config.
  // If the queue requires specific skills, ensure customAttributes or upstream logic guarantees agent eligibility.
  const requiredSkills = routingConfig.routingConfig?.skills ?? [];
  if (requiredSkills.length > 0 && !input.customAttributes['targetSkills']) {
    console.warn(`Queue requires skills: ${requiredSkills.map(s => s.name).join(', ')}. Ensure upstream system assigns compatible agents.`);
  }

  return {
    workItemTypeId: input.workItemTypeId,
    queueId: input.queueId,
    priority: clampedPriority,
    customAttributes: input.customAttributes,
    externalId: input.externalId,
    status: 'READY',
  };
}

Genesys Cloud uses priority levels 1 through 5, where 1 is highest. The API clamps values automatically, but explicit clamping prevents silent misrouting. The externalId field enables bidirectional correlation with order management systems without exposing internal database keys.

Step 2: Subscribe to Asynchronous Lifecycle Webhooks

Task router status transitions occur asynchronously as agents accept, work, and complete items. Polling the API introduces latency and triggers rate limits. Webhooks provide real-time event delivery. The following function registers a subscription for taskmanagement:workitem:status:changed.

interface WebhookSubscriptionPayload {
  name: string;
  eventFilters: Array<{
    event: string;
    condition: string;
  }>;
  configuration: {
    callbackUrl: string;
    httpHeaders: Record<string, string>;
  };
  enabled: boolean;
}

async function createWebhookSubscription(callbackUrl: string, externalIdFilter: string): Promise<any> {
  const token = await getAccessToken();
  const payload: WebhookSubscriptionPayload = {
    name: `TaskLifecycle_${externalIdFilter}`,
    eventFilters: [
      {
        event: 'taskmanagement:workitem:status:changed',
        condition: `data.externalId EQ '${externalIdFilter}'`,
      },
    ],
    configuration: {
      callbackUrl,
      httpHeaders: { 'X-Genesys-Event-Type': 'TASK_STATUS' },
    },
    enabled: true,
  };

  const res = await fetch(`${API_BASE}/webhooks`, {
    method: 'POST',
    headers: {
      Authorization: `Bearer ${token}`,
      'Content-Type': 'application/json',
    },
    body: JSON.stringify(payload),
  });

  if (!res.ok) {
    const err = await res.json();
    throw new Error(`Webhook subscription failed [${res.status}]: ${JSON.stringify(err)}`);
  }

  return res.json();
}

The eventFilters array scopes delivery to specific external IDs. This prevents webhook flooding when multiple systems share the same callback endpoint. Genesys Cloud retries failed deliveries with exponential backoff. Your endpoint must return a 2xx status code to acknowledge receipt.

Step 3: Implement the Orchestrator with Downstream Sync and SLA Tracking

The orchestrator ties creation, validation, webhook processing, downstream synchronization, aging calculation, and audit logging into a single module. It includes retry logic for 429 responses and structured logging for process governance.

class TaskWorkItemOrchestrator {
  private readonly downstreamUrl: string;
  private readonly slaThresholdMs: number;

  constructor(downstreamUrl: string, slaThresholdMs: number = 3600000) {
    this.downstreamUrl = downstreamUrl;
    this.slaThresholdMs = slaThresholdMs;
  }

  private async fetchWithRetry(url: string, options: RequestInit, retries = 3): Promise<Response> {
    let attempt = 0;
    while (attempt < retries) {
      const res = await fetch(url, options);
      if (res.status === 429) {
        const retryAfter = res.headers.get('Retry-After') || Math.pow(2, attempt).toString();
        console.log(`Rate limited on ${url}. Retrying after ${retryAfter}s...`);
        await new Promise((resolve) => setTimeout(resolve, Number(retryAfter) * 1000));
        attempt++;
        continue;
      }
      return res;
    }
    throw new Error(`Max retries exceeded for ${url}`);
  }

  async createWorkItem(input: WorkItemInput): Promise<any> {
    const validatedPayload = await validateAndConstructWorkItem(input);
    const token = await getAccessToken();

    const res = await this.fetchWithRetry(`${API_BASE}/taskmanagement/workitems`, {
      method: 'POST',
      headers: {
        Authorization: `Bearer ${token}`,
        'Content-Type': 'application/json',
      },
      body: JSON.stringify(validatedPayload),
    });

    if (!res.ok) {
      const err = await res.json();
      throw new Error(`Work item creation failed [${res.status}]: ${JSON.stringify(err)}`);
    }

    const workItem = await res.json();
    this.writeAuditLog(workItem.id, 'CREATED', { externalId: workItem.externalId, queueId: workItem.queueId });
    return workItem;
  }

  async handleStatusChange(webhookPayload: any): Promise<{ workItemId: string; status: string; slaBreach: boolean }> {
    const { data } = webhookPayload;
    const workItem = data.workItem;

    const createdTime = new Date(workItem.createdDate).getTime();
    const updateTime = new Date(workItem.lastModifiedDate).getTime();
    const agingMs = updateTime - createdTime;
    const isSLABreached = agingMs > this.slaThresholdMs;

    await this.syncDownstream(workItem, isSLABreached);
    this.writeAuditLog(workItem.id, workItem.status, { agingMs, isSLABreached, externalId: workItem.externalId });

    return { workItemId: workItem.id, status: workItem.status, slaBreach: isSLABreached };
  }

  private async syncDownstream(workItem: any, slaBreach: boolean): Promise<void> {
    const syncPayload = {
      orderId: workItem.externalId,
      taskStatus: workItem.status,
      slaBreached: slaBreach,
      timestamp: new Date().toISOString(),
    };

    const res = await fetch(this.downstreamUrl, {
      method: 'POST',
      headers: { 'Content-Type': 'application/json' },
      body: JSON.stringify(syncPayload),
    });

    if (!res.ok) {
      console.error(`Downstream sync failed for ${workItem.externalId}: ${res.statusText}`);
    }
  }

  private writeAuditLog(workItemId: string, event: string, context: Record<string, unknown>): void {
    const logEntry = {
      timestamp: new Date().toISOString(),
      workItemId,
      event,
      context,
      correlationId: context.externalId || 'N/A',
    };
    console.log(JSON.stringify(logEntry, null, 2));
  }
}

The fetchWithRetry method intercepts 429 responses and respects the Retry-After header. Genesys Cloud enforces rate limits per API method and per tenant. Exponential backoff prevents cascading failures. The SLA calculation compares createdDate against lastModifiedDate. This captures total wall-clock time regardless of intermediate status transitions. The audit log outputs structured JSON for ingestion by SIEM or log aggregation platforms.

Complete Working Example

The following script initializes the orchestrator, creates a work item, and simulates webhook processing. Replace environment variables with your tenant credentials.

import 'dotenv/config';

async function main() {
  const orchestrator = new TaskWorkItemOrchestrator('https://fulfillment.example.com/api/tasks/sync', 1800000);

  const workItemInput: WorkItemInput = {
    workItemTypeId: 'a1b2c3d4-e5f6-7890-abcd-ef1234567890',
    queueId: 'q9w8e7r6-t5y4-u3i2-o1p0-9876543210ab',
    priority: 2,
    customAttributes: {
      orderType: 'priority_ship',
      warehouseZone: 'A3',
      targetSkills: 'logistics,warehouse_ops',
    },
    externalId: 'ORD-2024-8842',
  };

  try {
    console.log('Creating work item...');
    const created = await orchestrator.createWorkItem(workItemInput);
    console.log('Work item created:', created.id);

    // Register webhook for lifecycle events
    await createWebhookSubscription('https://your-server.com/webhooks/genesys/tasks', workItemInput.externalId);
    console.log('Webhook subscription registered.');

    // Simulate incoming webhook payload
    const simulatedWebhook = {
      data: {
        workItem: {
          id: created.id,
          status: 'COMPLETED',
          externalId: workItemInput.externalId,
          createdDate: new Date(Date.now() - 2000000).toISOString(),
          lastModifiedDate: new Date().toISOString(),
        },
      },
    };

    console.log('Processing status change...');
    const result = await orchestrator.handleStatusChange(simulatedWebhook);
    console.log('Lifecycle processed:', result);
  } catch (error) {
    console.error('Orchestrator failed:', error);
    process.exit(1);
  }
}

main();

Run the script with ts-node index.ts. The output displays structured audit logs, downstream sync attempts, and lifecycle results. The webhook subscription persists in Genesys Cloud and delivers real events when agents interact with the work item.

Common Errors & Debugging

Error: 401 Unauthorized

  • Cause: Expired access token, invalid client credentials, or missing Authorization header.
  • Fix: Verify CLIENT_ID and CLIENT_SECRET. Ensure the token cache refreshes before expiration. The getAccessToken function automatically handles refresh.
  • Code Fix: Check signature generation. The timestamp must be within 5 minutes of server time. NTP sync resolves clock drift issues.

Error: 403 Forbidden

  • Cause: Missing OAuth scope or insufficient service account permissions.
  • Fix: Grant taskmanagement:workitem:create, routing:queue:read, and webhook:write to the service account. Verify the work item type exists and is accessible.
  • Code Fix: Add scope validation during startup. Log the exact error body from Genesys Cloud to identify the missing permission.

Error: 400 Bad Request

  • Cause: Invalid workItemTypeId, unsupported priority value, or malformed custom attributes.
  • Fix: Validate workItemTypeId against /api/v2/taskmanagement/workitemtypes. Ensure custom attributes match the work item type schema. Priority must be 1 through 5.
  • Code Fix: The validateAndConstructWorkItem function clamps priority and checks queue status. Add schema validation for custom attributes using a library like zod if your work item type enforces strict types.

Error: 429 Too Many Requests

  • Cause: Exceeding tenant rate limits. Task creation limits vary by org tier.
  • Fix: Implement exponential backoff. The fetchWithRetry method handles this automatically. Distribute creation across multiple threads only if you track per-tenant quotas.
  • Code Fix: Monitor Retry-After headers. Genesys Cloud resets limits per minute. Queue requests in a local buffer if upstream systems spike.

Error: 500 Internal Server Error

  • Cause: Genesys Cloud backend transient failure or webhook payload corruption.
  • Fix: Retry with exponential backoff. Validate webhook payload structure against the Genesys Cloud event schema. Ensure your callback endpoint returns 200 within 30 seconds.
  • Code Fix: Add timeout handling to fetch. Use AbortController to prevent hanging requests.

Official References