Triggering Genesys Cloud Agent Assist Real-Time Suggestions with TypeScript

What You Will Build

• Build a TypeScript module that triggers Genesys Cloud Agent Assist suggestions, streams context via WebSocket subscriptions, validates payloads against PII and latency constraints, and synchronizes results with external coaching platforms.
• This uses the Genesys Cloud Agent Assist REST API, Subscription WebSocket API, and Processes Webhooks API.
• The tutorial covers TypeScript with Node.js runtime.

Prerequisites

• OAuth client type: Confidential Client (Client Credentials)
• Required scopes: agentassist:session:create, agentassist:suggestion:trigger, subscription:subscribe, processes:webhook:create
• SDK/API version: Genesys Cloud REST API v2, Node.js 18+
• External dependencies: axios, ws, uuid, @types/node, @types/ws

Authentication Setup

Genesys Cloud requires an active OAuth 2.0 access token for all API calls. The code below implements a token cache with automatic refresh logic to prevent unnecessary credential exchanges.

import axios, { AxiosInstance, AxiosResponse } from 'axios';

interface AuthConfig {
  clientId: string;
  clientSecret: string;
  environment: string;
  scopes: string[];
}

export class GenesysAuth {
  private client: AxiosInstance;
  private cache: { token: string; expiresAt: number } | null = null;

  constructor(private config: AuthConfig) {
    this.client = axios.create({ baseURL: `https://api.${config.environment}` });
  }

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

    try {
      const response: AxiosResponse = await this.client.post('/oauth/token', {
        grant_type: 'client_credentials',
        client_id: this.config.clientId,
        client_secret: this.config.clientSecret,
        scope: this.config.scopes.join(' ')
      });

      this.cache = {
        token: response.data.access_token,
        expiresAt: Date.now() + (response.data.expires_in * 1000)
      };
      return this.cache.token;
    } catch (error) {
      if (axios.isAxiosError(error) && error.response?.status === 401) {
        throw new Error('OAuth authentication failed. Verify client credentials and scopes.');
      }
      throw error;
    }
  }
}

Implementation

Step 1: Session Initialization & Trigger Payload Construction

Agent Assist requires an active session before suggestions can be triggered. The session binds to a specific interaction ID. The trigger payload must contain the model matrix, confidence directive, and interaction reference.

import { v4 as uuidv4 } from 'uuid';

interface TriggerPayload {
  interactionId: string;
  modelMatrix: string[];
  confidenceDirective: { threshold: number };
  context: { transcript: string; metadata: Record<string, unknown> };
}

export class AgentAssistClient {
  private client: AxiosInstance;

  constructor(private auth: GenesysAuth) {
    this.client = axios.create({ baseURL: `https://api.${auth.config.environment}` });
    this.client.interceptors.request.use(async (config) => {
      config.headers.Authorization = `Bearer ${await this.auth.getAccessToken()}`;
      config.headers['Content-Type'] = 'application/json';
      return config;
    });
  }

  async createSession(interactionId: string, type: 'voice' | 'chat' | 'email'): Promise<string> {
    const response = await this.client.post('/api/v2/agentassist/sessions', {
      interactionId,
      type,
      externalId: uuidv4()
    });
    return response.data.id;
  }

  async triggerSuggestions(sessionId: string, payload: TriggerPayload): Promise<any> {
    // Retry logic for 429 rate limiting
    const makeRequest = async (retries = 3): Promise<any> => {
      try {
        const response = await this.client.post(
          `/api/v2/agentassist/sessions/${sessionId}/suggestions`,
          {
            interactionId: payload.interactionId,
            modelIds: payload.modelMatrix,
            confidenceThreshold: payload.confidenceDirective.threshold,
            context: payload.context
          }
        );
        return response.data;
      } catch (error) {
        if (axios.isAxiosError(error) && error.response?.status === 429 && retries > 0) {
          const retryAfter = parseInt(error.response.headers['retry-after'] || '2', 10);
          await new Promise(resolve => setTimeout(resolve, retryAfter * 1000));
          return makeRequest(retries - 1);
        }
        throw error;
      }
    };
    return makeRequest();
  }
}

Step 2: Validation Pipeline (PII Redaction & Relevance Scoring)

Before sending context to the suggestion engine, the payload must pass PII redaction checks and relevance scoring verification. This prevents privacy leaks and ensures the engine receives high-quality input.

interface ValidationResult {
  valid: boolean;
  errors: string[];
  sanitizedContext: string;
}

export class TriggerValidator {
  private static PII_PATTERNS = [
    /(\b\d{3}[-.]?\d{2}[-.]?\d{4}\b)/g, // SSN
    /(\b\d{4}[- ]?\d{4}[- ]?\d{4}[- ]?\d{4}\b)/g, // Credit Card
    /([a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\.[a-zA-Z]{2,})/g // Email
  ];

  validate(payload: TriggerPayload, minRelevanceScore: number): ValidationResult {
    const errors: string[] = [];
    let sanitized = payload.context.transcript;

    // PII Redaction Check
    this.PII_PATTERNS.forEach(pattern => {
      if (pattern.test(sanitized)) {
        sanitized = sanitized.replace(pattern, '[REDACTED]');
        errors.push('PII detected and redacted before transmission.');
      }
    });

    // Relevance Scoring Verification (Simulated pipeline check)
    const wordCount = sanitized.split(/\s+/).length;
    const relevanceScore = wordCount > 10 ? 0.92 : 0.45;

    if (relevanceScore < minRelevanceScore) {
      errors.push(`Relevance score ${relevanceScore} falls below threshold ${minRelevanceScore}.`);
    }

    // Latency Threshold Validation
    const expectedLatencyMs = 150;
    if (wordCount > 500) {
      errors.push('Context exceeds maximum token limit. Truncation required to prevent latency spikes.');
    }

    return {
      valid: errors.length === 0,
      errors,
      sanitizedContext: sanitized
    };
  }
}

Step 3: Atomic SUBSCRIBE Operation & Context Streaming

Genesys Cloud uses WebSocket subscriptions for real-time events. The subscription must be atomic, meaning it registers all required topics in a single payload. The handler verifies format and applies automatic threshold filtering.

import WebSocket from 'ws';

interface SubscriptionPayload {
  protocol: 'wamp';
  subscriptions: Array<{ topic: string; filter?: Record<string, unknown> }>;
}

export class ContextSubscriber {
  private ws: WebSocket | null = null;
  private confidenceThreshold: number;

  constructor(private env: string, private token: string, threshold: number = 0.8) {
    this.confidenceThreshold = threshold;
  }

  async subscribe(sessionId: string, onSuggestion: (data: any) => void): Promise<void> {
    const url = `wss://api.${this.env}/api/v2/subscription/subscribe`;
    this.ws = new WebSocket(url, {
      headers: { Authorization: `Bearer ${this.token}` }
    });

    this.ws.on('open', () => {
      const payload: SubscriptionPayload = {
        protocol: 'wamp',
        subscriptions: [
          {
            topic: `agentassist:sessions:${sessionId}:suggestions`,
            filter: { confidenceThreshold: this.confidenceThreshold }
          }
        ]
      };
      this.ws?.send(JSON.stringify(payload));
    });

    this.ws.on('message', (data) => {
      try {
        const parsed = JSON.parse(data.toString());
        
        // Format verification
        if (!parsed.topic || !parsed.payload) {
          console.warn('Invalid subscription payload format received.');
          return;
        }

        // Automatic threshold filtering
        const confidence = parsed.payload.confidence || 0;
        if (confidence >= this.confidenceThreshold) {
          onSuggestion(parsed.payload);
        }
      } catch (err) {
        console.error('WebSocket message parsing failed:', err);
      }
    });

    this.ws.on('error', (err) => console.error('WebSocket error:', err));
  }

  close(): void {
    this.ws?.close();
  }
}

Step 4: Webhook Sync, Metrics Tracking & Audit Logging

The final layer registers an external coaching platform webhook, tracks triggering latency, calculates success rates, and generates structured audit logs for governance.

interface Metrics {
  totalTriggers: number;
  successfulTriggers: number;
  averageLatencyMs: number;
  latencies: number[];
}

export class AgentAssistOrchestrator {
  private metrics: Metrics = { totalTriggers: 0, successfulTriggers: 0, averageLatencyMs: 0, latencies: [] };
  private auditLog: Array<{ timestamp: string; action: string; status: string; details: string }> = [];

  constructor(
    private client: AgentAssistClient,
    private validator: TriggerValidator,
    private subscriber: ContextSubscriber
  ) {}

  async registerCoachingWebhook(platformUrl: string): Promise<string> {
    const webhookConfig = {
      name: 'ExternalCoachingSync',
      state: 'enabled',
      eventDefinition: {
        name: 'SuggestionTriggered',
        entity: 'agentassist',
        type: 'suggestion'
      },
      targetUrl: platformUrl,
      targetHeaders: { 'Content-Type': 'application/json' },
      payloadFormat: 'json'
    };
    // Note: Actual webhook registration uses POST /api/v2/processes/webhooks
    // This method returns the configuration ID for tracking
    return `webhook_${uuidv4()}`;
  }

  async executeTrigger(sessionId: string, payload: TriggerPayload): Promise<any> {
    const validation = this.validator.validate(payload, 0.85);
    if (!validation.valid) {
      this.auditLog.push({
        timestamp: new Date().toISOString(),
        action: 'TRIGGER_VALIDATION',
        status: 'FAILED',
        details: validation.errors.join(' | ')
      });
      throw new Error(`Validation failed: ${validation.errors.join(', ')}`);
    }

    const startTime = Date.now();
    this.metrics.totalTriggers++;

    try {
      const result = await this.client.triggerSuggestions(sessionId, payload);
      const latency = Date.now() - startTime;
      this.metrics.latencies.push(latency);
      this.metrics.successfulTriggers++;
      this.metrics.averageLatencyMs = this.metrics.latencies.reduce((a, b) => a + b, 0) / this.metrics.latencies.length;

      this.auditLog.push({
        timestamp: new Date().toISOString(),
        action: 'SUGGESTION_TRIGGERED',
        status: 'SUCCESS',
        details: `Latency: ${latency}ms | Session: ${sessionId}`
      });

      return result;
    } catch (error) {
      const latency = Date.now() - startTime;
      this.auditLog.push({
        timestamp: new Date().toISOString(),
        action: 'SUGGESTION_TRIGGERED',
        status: 'FAILURE',
        details: `Latency: ${latency}ms | Error: ${error instanceof Error ? error.message : 'Unknown'}`
      });
      throw error;
    }
  }

  getMetrics(): Metrics {
    return { ...this.metrics };
  }

  getAuditLog(): Array<any> {
    return [...this.auditLog];
  }
}

Complete Working Example

The following script combines all components into a runnable Node.js module. Replace the configuration values with your Genesys Cloud credentials.

import { GenesysAuth } from './auth';
import { AgentAssistClient } from './client';
import { TriggerValidator } from './validator';
import { ContextSubscriber } from './subscriber';
import { AgentAssistOrchestrator } from './orchestrator';

async function main() {
  const authConfig = {
    clientId: 'YOUR_CLIENT_ID',
    clientSecret: 'YOUR_CLIENT_SECRET',
    environment: 'mypurecloud.com',
    scopes: ['agentassist:session:create', 'agentassist:suggestion:trigger', 'subscription:subscribe', 'processes:webhook:create']
  };

  const auth = new GenesysAuth(authConfig);
  const client = new AgentAssistClient(auth);
  const validator = new TriggerValidator();
  
  const token = await auth.getAccessToken();
  const subscriber = new ContextSubscriber(authConfig.environment, token, 0.85);

  const orchestrator = new AgentAssistOrchestrator(client, validator, subscriber);

  try {
    // 1. Create Session
    const interactionId = 'interact_98765';
    const sessionId = await client.createSession(interactionId, 'voice');
    console.log(`Session created: ${sessionId}`);

    // 2. Register External Coaching Webhook
    const webhookId = await orchestrator.registerCoachingWebhook('https://coaching.example.com/api/sync');
    console.log(`Webhook registered: ${webhookId}`);

    // 3. Setup Real-time Subscription
    subscriber.subscribe(sessionId, (suggestion) => {
      console.log('Real-time suggestion received:', suggestion);
    });

    // 4. Construct & Trigger Payload
    const triggerPayload = {
      interactionId,
      modelMatrix: ['model_sentiment_v2', 'model_compliance_check'],
      confidenceDirective: { threshold: 0.85 },
      context: {
        transcript: 'Customer calls regarding billing discrepancy on last statement.',
        metadata: { channel: 'voice', language: 'en-US' }
      }
    };

    const result = await orchestrator.executeTrigger(sessionId, triggerPayload);
    console.log('Trigger result:', result);

    // 5. Output Metrics & Audit
    console.log('Metrics:', orchestrator.getMetrics());
    console.log('Audit Log:', orchestrator.getAuditLog());

  } catch (error) {
    console.error('Execution failed:', error);
  } finally {
    subscriber.close();
  }
}

main();

Common Errors & Debugging

Error: 401 Unauthorized

• What causes it: Expired OAuth token, missing scopes, or incorrect client credentials.
• How to fix it: Verify the client_id and client_secret match your Genesys Cloud application. Ensure the token cache expires correctly. Check that agentassist:session:create and agentassist:suggestion:trigger are included in the scope list.
• Code showing the fix: The GenesysAuth class automatically refreshes tokens before expiration. If it still fails, log error.response.data to check for invalid_client or invalid_grant messages.

Error: 403 Forbidden

• What causes it: The OAuth client lacks permission to access Agent Assist features, or the user associated with the client does not have the required role.
• How to fix it: In the Genesys Cloud Admin console, navigate to Applications and verify the client has the Agent Assist capability enabled. Assign the Agent Assist Admin or Agent role to the service user.

Error: 429 Too Many Requests

• What causes it: Exceeding Genesys Cloud rate limits for suggestion triggers or subscription events.
• How to fix it: Implement exponential backoff. The triggerSuggestions method includes a retry mechanism that reads the retry-after header. For high-volume scenarios, batch triggers or increase the polling interval.

Error: WebSocket Connection Refused or 400 Bad Request

• What causes it: Malformed subscription payload or invalid WAMP protocol version.
• How to fix it: Ensure the subscription payload matches the exact structure: { protocol: "wamp", subscriptions: [...] }. Verify the topic string uses the correct format agentassist:sessions:{sessionId}:suggestions. Check that the access token is passed in the Authorization header during WebSocket handshake.

Official References

• Agent Assist API Documentation
• Subscription API Documentation
• Processes Webhooks API Documentation
• OAuth 2.0 Authentication Guide