Injecting Genesys Cloud Agent Assist Custom UI Widgets via REST API with TypeScript

What You Will Build

• A TypeScript service that programmatically deploys and validates Agent Assist prompt widgets using the Genesys Cloud REST API.
• The implementation uses the /api/v2/agent-assist/prompts and /api/v2/agent-assist/configurations endpoints to manage widget lifecycle.
• The code is written in TypeScript with modern async/await patterns, explicit schema validation, exponential backoff retry logic, and comprehensive audit logging.

Prerequisites

• OAuth 2.0 client credentials with agent-assist:prompt:write and agent-assist:prompt:read scopes
• Genesys Cloud API v2 environment URL (e.g., https://api.mypurecloud.com)
• Node.js 18.0 or higher
• TypeScript 5.0 or higher
• Dependencies: uuid, zod (for runtime schema validation), pino (for structured audit logging)

Authentication Setup

Genesys Cloud uses OAuth 2.0 client credentials flow for server-to-server integrations. The following module handles token acquisition, caching, and automatic refresh before expiration.

import crypto from 'crypto';

interface OAuthConfig {
  baseUrl: string;
  clientId: string;
  clientSecret: string;
  grantType: 'client_credentials';
  scope: string;
}

interface TokenResponse {
  access_token: string;
  token_type: string;
  expires_in: number;
  scope: string;
}

export class GenesysOAuthClient {
  private baseUrl: string;
  private clientId: string;
  private clientSecret: string;
  private scope: string;
  private token: string | null = null;
  private expiresAt: number = 0;

  constructor(config: OAuthConfig) {
    this.baseUrl = config.baseUrl;
    this.clientId = config.clientId;
    this.clientSecret = config.clientSecret;
    this.scope = config.scope;
  }

  async getAccessToken(): Promise<string> {
    const now = Date.now();
    if (this.token && now < this.expiresAt) {
      return this.token;
    }

    const tokenUrl = `${this.baseUrl}/oauth/token`;
    const credentials = Buffer.from(`${this.clientId}:${this.clientSecret}`).toString('base64');

    const body = new URLSearchParams({
      grant_type: 'client_credentials',
      scope: this.scope
    });

    const response = await fetch(tokenUrl, {
      method: 'POST',
      headers: {
        'Content-Type': 'application/x-www-form-urlencoded',
        'Authorization': `Basic ${credentials}`
      },
      body: body
    });

    if (!response.ok) {
      const errorText = await response.text();
      throw new Error(`OAuth token request failed with status ${response.status}: ${errorText}`);
    }

    const data: TokenResponse = await response.json();
    this.token = data.access_token;
    this.expiresAt = now + (data.expires_in * 1000) - 30000; // Refresh 30s early
    return this.token;
  }
}

Implementation

Step 1: Payload Construction and Schema Validation

Agent Assist widgets are represented as prompt objects in the API. The injection payload must include a widget UUID, layout positioning data (DOM container matrix), and lifecycle directives. We validate these payloads against client rendering constraints before submission.

import { z } from 'zod';

export interface LayoutMatrix {
  row: number;
  column: number;
  rowSpan: number;
  colSpan: number;
}

export interface LifecycleDirective {
  onMount: string;
  onUpdate: string;
  onUnmount: string;
}

export interface WidgetInjectPayload {
  widgetId: string;
  name: string;
  description: string;
  layoutMatrix: LayoutMatrix;
  lifecycleDirectives: LifecycleDirective;
  configurationId: string;
  enabled: boolean;
}

// Zod schema for runtime validation
export const WidgetInjectSchema = z.object({
  widgetId: z.string().uuid(),
  name: z.string().min(1).max(255),
  description: z.string().max(1000).optional(),
  layoutMatrix: z.object({
    row: z.number().int().nonnegative(),
    column: z.number().int().nonnegative(),
    rowSpan: z.number().int().positive(),
    colSpan: z.number().int().positive()
  }),
  lifecycleDirectives: z.object({
    onMount: z.string().regex(/^[\w.]+$/),
    onUpdate: z.string().regex(/^[\w.]+$/),
    onUnmount: z.string().regex(/^[\w.]+$/)
  }),
  configurationId: z.string().uuid(),
  enabled: z.boolean().default(true)
});

export function validateInjectPayload(payload: unknown): WidgetInjectPayload {
  const result = WidgetInjectSchema.safeParse(payload);
  if (!result.success) {
    const issues = result.error.issues.map(i => `${i.path.join('.')}: ${i.message}`).join('; ');
    throw new Error(`Payload validation failed: ${issues}`);
  }
  return result.data;
}

Step 2: Atomic Registration with Limit Verification and Retry Logic

Genesys Cloud enforces limits on active prompts per configuration. We verify the current count before injection. The registration uses atomic control operations: fetch current state, validate limits, submit payload, and verify creation. A 429 rate-limit handler implements exponential backoff.

import pino from 'pino';

const logger = pino({ level: 'info', transport: { target: 'pino-pretty' } });

export class AgentAssistWidgetInjector {
  private oauth: GenesysOAuthClient;
  private maxWidgetsPerConfig: number;
  private retryAttempts: number;
  private baseDelayMs: number;

  constructor(oauth: GenesysOAuthClient, maxWidgetsPerConfig: number = 50) {
    this.oauth = oauth;
    this.maxWidgetsPerConfig = maxWidgetsPerConfig;
    this.retryAttempts = 3;
    this.baseDelayMs = 1000;
  }

  private async apiRequest<T>(method: string, path: string, body?: unknown): Promise<T> {
    const token = await this.oauth.getAccessToken();
    const url = `${this.oauth.baseUrl}${path}`;
    const headers: Record<string, string> = {
      'Authorization': `Bearer ${token}`,
      'Content-Type': 'application/json',
      'Accept': 'application/json'
    };

    const startTime = Date.now();
    let attempt = 0;
    let lastError: Error | null = null;

    while (attempt < this.retryAttempts) {
      try {
        const response = await fetch(url, { method, headers, body: body ? JSON.stringify(body) : undefined });
        const latency = Date.now() - startTime;
        const responseText = await response.text();

        if (response.status === 429) {
          const retryAfter = parseInt(response.headers.get('Retry-After') || '1', 10);
          const delay = Math.max(retryAfter * 1000, this.baseDelayMs * Math.pow(2, attempt));
          logger.warn(`Rate limited (429). Retrying in ${delay}ms. Attempt ${attempt + 1}/${this.retryAttempts}`);
          await new Promise(resolve => setTimeout(resolve, delay));
          attempt++;
          continue;
        }

        if (response.status >= 500) {
          logger.error(`Server error ${response.status}. Response: ${responseText}`);
          throw new Error(`Server error ${response.status}: ${responseText}`);
        }

        if (!response.ok) {
          logger.error(`Client error ${response.status}. Response: ${responseText}`);
          throw new Error(`API request failed with status ${response.status}: ${responseText}`);
        }

        const data: T = responseText ? JSON.parse(responseText) : null as unknown as T;
        logger.info(`API ${method} ${path} completed in ${latency}ms. Status: ${response.status}`);
        return data;
      } catch (error) {
        lastError = error instanceof Error ? error : new Error(String(error));
        attempt++;
      }
    }

    throw new Error(`Failed after ${this.retryAttempts} attempts: ${lastError?.message}`);
  }

  async verifyWidgetLimit(configurationId: string): Promise<boolean> {
    const response = await this.apiRequest<{ entities: Array<{ id: string }> }>(
      'GET',
      `/api/v2/agent-assist/configurations/${configurationId}/prompts?pageSize=1`
    );
    const totalCount = response.entities.length;
    logger.info(`Current widget count for config ${configurationId}: ${totalCount}`);
    return totalCount < this.maxWidgetsPerConfig;
  }

  async injectWidget(payload: WidgetInjectPayload): Promise<{ success: boolean; widgetId: string; latencyMs: number }> {
    const startTime = Date.now();
    
    // Step 1: Validate payload schema
    const validatedPayload = validateInjectPayload(payload);

    // Step 2: Verify limits
    const canInject = await this.verifyWidgetLimit(validatedPayload.configurationId);
    if (!canInject) {
      throw new Error(`Maximum widget limit (${this.maxWidgetsPerConfig}) reached for configuration ${validatedPayload.configurationId}`);
    }

    // Step 3: Map to Genesys Cloud Prompt schema
    const apiPayload = {
      id: validatedPayload.widgetId,
      name: validatedPayload.name,
      description: validatedPayload.description || '',
      enabled: validatedPayload.enabled,
      configurationId: validatedPayload.configurationId,
      layout: {
        position: {
          row: validatedPayload.layoutMatrix.row,
          column: validatedPayload.layoutMatrix.column
        },
        size: {
          rowSpan: validatedPayload.layoutMatrix.rowSpan,
          colSpan: validatedPayload.layoutMatrix.colSpan
        }
      },
      metadata: {
        lifecycleDirectives: validatedPayload.lifecycleDirectives
      }
    };

    // Step 4: Atomic creation
    const created = await this.apiRequest<Record<string, unknown>>('POST', '/api/v2/agent-assist/prompts', apiPayload);

    // Step 5: Verify creation (atomic control operation)
    const verification = await this.apiRequest<Record<string, unknown>>('GET', `/api/v2/agent-assist/prompts/${validatedPayload.widgetId}`);
    if (!verification || !verification.id) {
      throw new Error(`Verification failed. Widget ${validatedPayload.widgetId} was not created successfully.`);
    }

    const latencyMs = Date.now() - startTime;
    logger.info(`Widget injected successfully. ID: ${validatedPayload.widgetId}. Latency: ${latencyMs}ms`);
    return { success: true, widgetId: validatedPayload.widgetId, latencyMs };
  }
}

Step 3: Lifecycle Hooks, Audit Logging, and Performance Tracking

The injector exposes callback handlers for external component library synchronization. It also maintains an audit trail and tracks render success rates for governance.

export interface InjectorCallbacks {
  onInjectStart?: (payload: WidgetInjectPayload) => void;
  onInjectComplete?: (result: { widgetId: string; latencyMs: number }) => void;
  onInjectFail?: (error: Error) => void;
}

export interface AuditLogEntry {
  timestamp: string;
  action: 'INJECT_ATTEMPT' | 'INJECT_SUCCESS' | 'INJECT_FAILURE';
  widgetId: string;
  configurationId: string;
  latencyMs?: number;
  errorMessage?: string;
  successRate?: number;
}

export class ManagedWidgetInjector {
  private injector: AgentAssistWidgetInjector;
  private callbacks: InjectorCallbacks;
  private auditLog: AuditLogEntry[] = [];
  private successfulInjections: number = 0;
  private totalInjections: number = 0;

  constructor(oauth: GenesysOAuthClient, callbacks: InjectorCallbacks = {}) {
    this.injector = new AgentAssistWidgetInjector(oauth);
    this.callbacks = callbacks;
  }

  async managedInject(payload: WidgetInjectPayload): Promise<AuditLogEntry> {
    const logEntry: AuditLogEntry = {
      timestamp: new Date().toISOString(),
      action: 'INJECT_ATTEMPT',
      widgetId: payload.widgetId,
      configurationId: payload.configurationId
    };

    this.totalInjections++;
    this.callbacks.onInjectStart?.(payload);

    try {
      const result = await this.injector.injectWidget(payload);
      logEntry.action = 'INJECT_SUCCESS';
      logEntry.latencyMs = result.latencyMs;
      this.successfulInjections++;
      logEntry.successRate = (this.successfulInjections / this.totalInjections) * 100;
      
      this.callbacks.onInjectComplete?.(result);
      this.auditLog.push(logEntry);
      logger.info(`Audit logged: ${JSON.stringify(logEntry)}`);
      return logEntry;
    } catch (error) {
      const err = error instanceof Error ? error : new Error(String(error));
      logEntry.action = 'INJECT_FAILURE';
      logEntry.errorMessage = err.message;
      logEntry.successRate = (this.successfulInjections / this.totalInjections) * 100;
      
      this.callbacks.onInjectFail?.(err);
      this.auditLog.push(logEntry);
      logger.error(`Audit logged failure: ${JSON.stringify(logEntry)}`);
      throw err;
    }
  }

  getAuditLog(): AuditLogEntry[] {
    return [...this.auditLog];
  }

  getMetrics(): { successRate: number; totalInjections: number; successfulInjections: number } {
    return {
      successRate: this.totalInjections > 0 ? (this.successfulInjections / this.totalInjections) * 100 : 0,
      totalInjections: this.totalInjections,
      successfulInjections: this.successfulInjections
    };
  }
}

Complete Working Example

The following script demonstrates end-to-end execution. Replace the placeholder credentials and environment URL before running.

import { v4 as uuidv4 } from 'uuid';
import { GenesysOAuthClient } from './auth';
import { ManagedWidgetInjector, WidgetInjectPayload } from './injector';

async function main() {
  const oauthConfig = {
    baseUrl: 'https://api.mypurecloud.com',
    clientId: process.env.GENESYS_CLIENT_ID || '',
    clientSecret: process.env.GENESYS_CLIENT_SECRET || '',
    grantType: 'client_credentials',
    scope: 'agent-assist:prompt:write agent-assist:prompt:read'
  };

  const oauthClient = new GenesysOAuthClient(oauthConfig);
  
  const injector = new ManagedWidgetInjector(oauthClient, {
    onInjectStart: (p) => console.log(`Starting injection for ${p.name}`),
    onInjectComplete: (r) => console.log(`Injection complete for ${r.widgetId} in ${r.latencyMs}ms`),
    onInjectFail: (e) => console.error(`Injection failed: ${e.message}`)
  });

  const newPayload: WidgetInjectPayload = {
    widgetId: uuidv4(),
    name: 'Real-Time Sentiment Analyzer',
    description: 'Displays customer sentiment score during active interactions',
    layoutMatrix: {
      row: 2,
      column: 1,
      rowSpan: 1,
      colSpan: 2
    },
    lifecycleDirectives: {
      onMount: 'sentiment.init',
      onUpdate: 'sentiment.refresh',
      onUnmount: 'sentiment.cleanup'
    },
    configurationId: '8f7e6d5c-4b3a-2e1d-0c9b-8a7f6e5d4c3b',
    enabled: true
  };

  try {
    const auditEntry = await injector.managedInject(newPayload);
    console.log('Final Audit Entry:', JSON.stringify(auditEntry, null, 2));
    console.log('Injector Metrics:', JSON.stringify(injector.getMetrics(), null, 2));
  } catch (error) {
    console.error('Execution failed:', error);
    process.exit(1);
  }
}

main();

Common Errors & Debugging

Error: 401 Unauthorized

• Cause: OAuth token is expired, malformed, or missing in the Authorization header.
• Fix: Verify the getAccessToken method refreshes tokens before expiration. Ensure the scope parameter matches the API requirements exactly. Check that clientId and clientSecret are not truncated.
• Code Fix: The GenesysOAuthClient class automatically refreshes tokens 30 seconds before expiration. If you encounter persistent 401 errors, clear the cached token by setting this.token = null and force a new request.

Error: 403 Forbidden

• Cause: The OAuth client lacks the required scope, or the organization restricts Agent Assist modifications.
• Fix: Confirm the client has agent-assist:prompt:write scope. Verify the user associated with the service account has the Agent Assist Administrator or Agent Assist Prompt Administrator role.
• Code Fix: Add scope validation during initialization:

  if (!oauthConfig.scope.includes('agent-assist:prompt:write')) {
    throw new Error('Missing required scope: agent-assist:prompt:write');
  }
  

Error: 429 Too Many Requests

• Cause: The API rate limit for the tenant or specific endpoint has been exceeded.
• Fix: The apiRequest method implements exponential backoff with Retry-After header parsing. Ensure retryAttempts and baseDelayMs are tuned to your deployment volume.
• Code Fix: The existing retry loop in apiRequest handles this automatically. If cascading 429s occur across multiple services, implement a global request queue or token bucket algorithm outside the injector class.

Error: 400 Bad Request (Schema Validation)

• Cause: Payload does not match the Zod schema or Genesys Cloud API constraints.
• Fix: Verify widgetId is a valid UUID. Ensure layoutMatrix values are positive integers. Check that lifecycleDirectives contain only alphanumeric characters and periods.
• Code Fix: The validateInjectPayload function throws detailed error messages. Parse the error string to identify the exact failing field and correct the input data before retrying.

Error: 500 Internal Server Error

• Cause: Genesys Cloud platform instability or backend service degradation.
• Fix: Wait for the platform to stabilize. The retry logic will attempt up to three times. If all attempts fail, log the incident and queue the payload for later processing.
• Code Fix: Wrap the injection call in a try-catch block and implement a dead-letter queue pattern for payloads that fail after maximum retries.

Official References

• Genesys Cloud Agent Assist Prompts API
• Genesys Cloud OAuth 2.0 Documentation
• Genesys Cloud Agent Assist Configuration API
• Zod Schema Validation Library
• Pino Logging Library