Injecting Genesys Cloud Agent Assist Real-Time Sentiment Scores via WebSocket API with Node.js

What You Will Build

• The code streams real-time sentiment analysis scores into active Genesys Cloud Agent Assist interactions via WebSocket.
• This uses the Genesys Cloud Agent Assist WebSocket API and the Node.js ws library.
• The tutorial covers Node.js with modern async/await patterns and structured logging.

Prerequisites

• OAuth client type: Confidential Client (Client Credentials Grant)
• Required scopes: agentassist:interaction:write, agentassist:interaction:read
• API version: Agent Assist WebSocket API v2
• Language/runtime: Node.js 18+
• External dependencies: npm install ws axios dotenv

Authentication Setup

Genesys Cloud requires a valid OAuth 2.0 bearer token for WebSocket handshake authorization. The token must contain the agentassist:interaction:write scope. You must cache the token and refresh it before expiration to maintain the long-lived WebSocket connection.

const axios = require('axios');
const dotenv = require('dotenv');
dotenv.config();

const OAUTH_TOKEN_URL = 'https://api.mypurecloud.com/v2/oauth/token';
const ENVIRONMENT = process.env.GENESYS_ENV || 'api.mypurecloud.com';
const CLIENT_ID = process.env.GENESYS_CLIENT_ID;
const CLIENT_SECRET = process.env.GENESYS_CLIENT_SECRET;

/**
 * Fetches an OAuth token with required Agent Assist scopes.
 * Implements exponential backoff for 429 rate limits.
 */
async function fetchOAuthToken() {
  const grantData = new URLSearchParams({
    grant_type: 'client_credentials',
    client_id: CLIENT_ID,
    client_secret: CLIENT_SECRET,
    scope: 'agentassist:interaction:write agentassist:interaction:read'
  });

  try {
    const response = await axios.post(OAUTH_TOKEN_URL, grantData, {
      headers: { 'Content-Type': 'application/x-www-form-urlencoded' }
    });
    
    if (!response.data.access_token || !response.data.expires_in) {
      throw new Error('Invalid OAuth token response structure');
    }
    
    return {
      token: response.data.access_token,
      expiresAt: Date.now() + (response.data.expires_in * 1000)
    };
  } catch (error) {
    if (error.response?.status === 429) {
      const retryAfter = parseInt(error.response.headers['retry-after'] || '2', 10);
      console.log(`OAuth rate limited. Retrying after ${retryAfter}s`);
      await new Promise(resolve => setTimeout(resolve, retryAfter * 1000));
      return fetchOAuthToken();
    }
    throw error;
  }
}

Implementation

Step 1: WebSocket Connection & Token Management

The Agent Assist WebSocket API expects the bearer token in the Authorization header during the initial handshake. You must reconnect automatically when the connection drops or when the token expires. The connection URL follows the pattern wss://{environment}/api/v2/agentassist/interactions.

const WebSocket = require('ws');

class SentimentInjector {
  constructor() {
    this.wsUrl = `wss://${ENVIRONMENT}/api/v2/agentassist/interactions`;
    this.ws = null;
    this.token = null;
    this.tokenExpiry = 0;
    this.messageQueue = [];
    this.isProcessingQueue = false;
    this.metrics = {
      injected: 0,
      failed: 0,
      avgLatencyMs: 0,
      accuracyRate: 0
    };
  }

  async connect() {
    this.token = await fetchOAuthToken();
    this.tokenExpiry = Date.now() + (this.token.expires_in * 1000);
    
    this.ws = new WebSocket(this.wsUrl, {
      headers: {
        Authorization: `Bearer ${this.token.token}`,
        'Content-Type': 'application/json'
      }
    });

    this.ws.on('open', () => console.log('Agent Assist WebSocket connected'));
    this.ws.on('message', (data) => this.handleIncomingMessage(data));
    this.ws.on('error', (err) => this.handleConnectionError(err));
    this.ws.on('close', (code, reason) => this.handleConnectionClose(code, reason));
    
    // Schedule token refresh 60 seconds before expiry
    setTimeout(() => this.refreshTokenAndReconnect(), (this.token.expires_in - 60) * 1000);
  }

  handleIncomingMessage(data) {
    const message = JSON.parse(data.toString());
    if (message.type === 'ACK') {
      console.log(`Injection acknowledged for interaction ${message.interactionId}`);
    }
  }

  handleConnectionError(err) {
    console.error('WebSocket error:', err.message);
  }

  handleConnectionClose(code, reason) {
    console.log(`WebSocket closed. Code: ${code}, Reason: ${reason}`);
    if (code !== 1000 && code !== 1001) {
      console.log('Reconnecting in 2 seconds...');
      setTimeout(() => this.connect(), 2000);
    }
  }

  async refreshTokenAndReconnect() {
    try {
      const newToken = await fetchOAuthToken();
      this.token = newToken;
      if (this.ws && this.ws.readyState === WebSocket.OPEN) {
        this.ws.close(1000, 'Token refresh');
      }
      this.connect();
    } catch (err) {
      console.error('Token refresh failed:', err.message);
    }
  }
}

Step 2: Payload Construction & Schema Validation

Genesys Cloud Agent Assist accepts custom data injection through a structured envelope. The payload must contain an interactionId, a type field set to SEND, and a data object matching your configured Assist skill schema. You must validate the emotion classification matrix and urgency routing directives before transmission.

/**
 * Validates the sentiment injection payload against Genesys Cloud constraints.
 * Ensures emotion scores sum correctly and urgency values match allowed enums.
 */
function validateInjectionPayload(payload) {
  const requiredFields = ['interactionId', 'data'];
  for (const field of requiredFields) {
    if (!payload[field]) {
      throw new Error(`Missing required field: ${field}`);
    }
  }

  const { sentiment } = payload.data;
  if (!sentiment) {
    throw new Error('Missing sentiment matrix in payload data');
  }

  const allowedEmotions = ['anger', 'joy', 'sadness', 'neutral', 'fear', 'surprise'];
  const totalScore = allowedEmotions.reduce((sum, emotion) => sum + (sentiment[emotion] || 0), 0);
  
  if (Math.abs(totalScore - 1.0) > 0.05) {
    throw new Error(`Emotion scores must sum to approximately 1.0. Received: ${totalScore}`);
  }

  const allowedUrgency = ['low', 'medium', 'high', 'critical'];
  if (!allowedUrgency.includes(sentiment.urgency)) {
    throw new Error(`Invalid urgency directive. Must be one of: ${allowedUrgency.join(', ')}`);
  }

  return true;
}

/**
 * Constructs the atomic SEND envelope for Agent Assist injection.
 */
function buildInjectionEnvelope(interactionId, emotionMatrix, urgency, confidence) {
  return {
    type: 'SEND',
    interactionId: interactionId,
    data: {
      type: 'custom',
      timestamp: new Date().toISOString(),
      sentiment: {
        ...emotionMatrix,
        urgency: urgency,
        confidence: confidence,
        source: 'external-ml-pipeline'
      }
    }
  };
}

Step 3: Throttling & Atomic SEND Operations

Genesys Cloud enforces maximum update frequency limits per interaction to prevent injection failure and protect downstream Assist skills. You must implement a coalescing queue that batches or spaces out messages. The atomic SEND operation must verify format compliance before transmission.

const MAX_UPDATES_PER_SECOND = 2;
const MIN_INTERVAL_MS = 1000 / MAX_UPDATES_PER_SECOND;

class SentimentInjector {
  // ... previous methods ...

  async injectSentiment(interactionId, emotionMatrix, urgency, confidence) {
    const payload = buildInjectionEnvelope(interactionId, emotionMatrix, urgency, confidence);
    validateInjectionPayload(payload);
    
    const startTime = Date.now();
    
    // Queue message to respect frequency limits
    this.messageQueue.push({ payload, startTime });
    this.processQueue();
  }

  processQueue() {
    if (this.isProcessingQueue || this.messageQueue.length === 0) return;
    this.isProcessingQueue = true;

    const processNext = () => {
      if (this.messageQueue.length === 0) {
        this.isProcessingQueue = false;
        return;
      }

      const item = this.messageQueue.shift();
      const { payload, startTime } = item;

      if (this.ws?.readyState !== WebSocket.OPEN) {
        this.messageQueue.unshift(item); // Re-queue if disconnected
        setTimeout(processNext, 1000);
        return;
      }

      const latencyMs = Date.now() - startTime;
      this.updateMetrics(latencyMs, true);

      try {
        this.ws.send(JSON.stringify(payload));
        console.log(`Sent injection for ${payload.interactionId} | Latency: ${latencyMs}ms`);
        this.logAuditEvent(payload, latencyMs, 'SUCCESS');
      } catch (err) {
        this.updateMetrics(latencyMs, false);
        this.logAuditEvent(payload, latencyMs, 'FAILURE', err.message);
      }

      // Enforce minimum interval between sends
      setTimeout(processNext, MIN_INTERVAL_MS);
    };

    processNext();
  }

  updateMetrics(latencyMs, success) {
    if (success) this.metrics.injected++;
    else this.metrics.failed++;
    
    const total = this.metrics.injected + this.metrics.failed;
    this.metrics.avgLatencyMs = (
      (this.metrics.avgLatencyMs * (total - 1) + latencyMs) / total
    ).toFixed(2);
  }

  logAuditEvent(payload, latencyMs, status, errorDetail = null) {
    const auditLog = {
      timestamp: new Date().toISOString(),
      interactionId: payload.interactionId,
      urgency: payload.data.sentiment.urgency,
      confidence: payload.data.sentiment.confidence,
      latencyMs: latencyMs,
      status: status,
      error: errorDetail
    };
    console.log(JSON.stringify({ type: 'AUDIT_LOG', ...auditLog }));
  }
}

Step 4: Validation Pipeline & Webhook Sync

Real-time sentiment injection requires a verification pipeline to prevent false alarms during Assist scaling. You must check audio transcription chunks and confidence scores before triggering injection. Successful injections synchronize with external CRM sentiment modules via webhook callbacks.

const axios = require('axios');

class SentimentInjector {
  // ... previous methods ...

  /**
   * Processes raw transcription chunks and applies confidence thresholds.
   * Only injects when confidence exceeds the defined pipeline threshold.
   */
  async processTranscriptionChunk(transcriptionData) {
    const { interactionId, text, confidence, predictedEmotion } = transcriptionData;
    
    const MIN_CONFIDENCE_THRESHOLD = 0.75;
    
    if (confidence < MIN_CONFIDENCE_THRESHOLD) {
      console.log(`Confidence ${confidence} below threshold. Skipping injection.`);
      return;
    }

    // Map predicted emotion to classification matrix
    const emotionMatrix = {
      anger: 0, joy: 0, sadness: 0, neutral: 0, fear: 0, surprise: 0
    };
    emotionMatrix[predictedEmotion] = 1.0;

    // Determine urgency routing directive based on emotion and confidence
    const urgency = (predictedEmotion === 'anger' || predictedEmotion === 'fear') ? 'high' : 'medium';

    await this.injectSentiment(interactionId, emotionMatrix, urgency, confidence);
    await this.syncWithCRM(interactionId, predictedEmotion, confidence, urgency);
  }

  /**
   * Synchronizes injection events with external CRM sentiment modules.
   * Implements retry logic for transient network failures.
   */
  async syncWithCRM(interactionId, emotion, confidence, urgency, retryCount = 0) {
    const CRM_WEBHOOK_URL = process.env.CRM_WEBHOOK_URL;
    if (!CRM_WEBHOOK_URL) {
      console.log('CRM_WEBHOOK_URL not configured. Skipping sync.');
      return;
    }

    const payload = {
      interactionId,
      sentiment: emotion,
      confidence,
      urgency,
      injectedAt: new Date().toISOString(),
      source: 'genesys-agent-assist-injector'
    };

    try {
      await axios.post(CRM_WEBHOOK_URL, payload, {
        headers: { 'Content-Type': 'application/json' },
        timeout: 3000
      });
    } catch (err) {
      if (err.response?.status === 429 || err.code === 'ECONNABORTED') {
        if (retryCount < 3) {
          const backoff = Math.pow(2, retryCount) * 1000;
          console.log(`CRM sync rate limited or timed out. Retrying in ${backoff}ms`);
          await new Promise(resolve => setTimeout(resolve, backoff));
          return this.syncWithCRM(interactionId, emotion, confidence, urgency, retryCount + 1);
        }
      }
      console.error('CRM sync failed permanently:', err.message);
    }
  }
}

Complete Working Example

const WebSocket = require('ws');
const axios = require('axios');
const dotenv = require('dotenv');
dotenv.config();

const OAUTH_TOKEN_URL = 'https://api.mypurecloud.com/v2/oauth/token';
const ENVIRONMENT = process.env.GENESYS_ENV || 'api.mypurecloud.com';
const CLIENT_ID = process.env.GENESYS_CLIENT_ID;
const CLIENT_SECRET = process.env.GENESYS_CLIENT_SECRET;
const MAX_UPDATES_PER_SECOND = 2;
const MIN_INTERVAL_MS = 1000 / MAX_UPDATES_PER_SECOND;

async function fetchOAuthToken() {
  const grantData = new URLSearchParams({
    grant_type: 'client_credentials',
    client_id: CLIENT_ID,
    client_secret: CLIENT_SECRET,
    scope: 'agentassist:interaction:write agentassist:interaction:read'
  });

  try {
    const response = await axios.post(OAUTH_TOKEN_URL, grantData, {
      headers: { 'Content-Type': 'application/x-www-form-urlencoded' }
    });
    if (!response.data.access_token || !response.data.expires_in) {
      throw new Error('Invalid OAuth token response structure');
    }
    return {
      token: response.data.access_token,
      expires_in: response.data.expires_in
    };
  } catch (error) {
    if (error.response?.status === 429) {
      const retryAfter = parseInt(error.response.headers['retry-after'] || '2', 10);
      await new Promise(resolve => setTimeout(resolve, retryAfter * 1000));
      return fetchOAuthToken();
    }
    throw error;
  }
}

function validateInjectionPayload(payload) {
  const requiredFields = ['interactionId', 'data'];
  for (const field of requiredFields) {
    if (!payload[field]) throw new Error(`Missing required field: ${field}`);
  }
  const { sentiment } = payload.data;
  if (!sentiment) throw new Error('Missing sentiment matrix in payload data');
  const allowedEmotions = ['anger', 'joy', 'sadness', 'neutral', 'fear', 'surprise'];
  const totalScore = allowedEmotions.reduce((sum, e) => sum + (sentiment[e] || 0), 0);
  if (Math.abs(totalScore - 1.0) > 0.05) throw new Error(`Emotion scores must sum to ~1.0. Got: ${totalScore}`);
  const allowedUrgency = ['low', 'medium', 'high', 'critical'];
  if (!allowedUrgency.includes(sentiment.urgency)) throw new Error(`Invalid urgency: ${sentiment.urgency}`);
  return true;
}

function buildInjectionEnvelope(interactionId, emotionMatrix, urgency, confidence) {
  return {
    type: 'SEND',
    interactionId,
    data: {
      type: 'custom',
      timestamp: new Date().toISOString(),
      sentiment: { ...emotionMatrix, urgency, confidence, source: 'external-ml-pipeline' }
    }
  };
}

class SentimentInjector {
  constructor() {
    this.wsUrl = `wss://${ENVIRONMENT}/api/v2/agentassist/interactions`;
    this.ws = null;
    this.token = null;
    this.messageQueue = [];
    this.isProcessingQueue = false;
    this.metrics = { injected: 0, failed: 0, avgLatencyMs: 0 };
  }

  async connect() {
    this.token = await fetchOAuthToken();
    this.ws = new WebSocket(this.wsUrl, {
      headers: { Authorization: `Bearer ${this.token.token}`, 'Content-Type': 'application/json' }
    });
    this.ws.on('open', () => console.log('Agent Assist WebSocket connected'));
    this.ws.on('message', (data) => {
      const msg = JSON.parse(data.toString());
      if (msg.type === 'ACK') console.log(`ACK received for ${msg.interactionId}`);
    });
    this.ws.on('error', (err) => console.error('WS Error:', err.message));
    this.ws.on('close', (code) => {
      if (code !== 1000 && code !== 1001) setTimeout(() => this.connect(), 2000);
    });
    setTimeout(() => this.refreshTokenAndReconnect(), (this.token.expires_in - 60) * 1000);
  }

  async refreshTokenAndReconnect() {
    try {
      const newToken = await fetchOAuthToken();
      this.token = newToken;
      if (this.ws && this.ws.readyState === WebSocket.OPEN) this.ws.close(1000, 'Token refresh');
      this.connect();
    } catch (err) {
      console.error('Token refresh failed:', err.message);
    }
  }

  async injectSentiment(interactionId, emotionMatrix, urgency, confidence) {
    const payload = buildInjectionEnvelope(interactionId, emotionMatrix, urgency, confidence);
    validateInjectionPayload(payload);
    const startTime = Date.now();
    this.messageQueue.push({ payload, startTime });
    this.processQueue();
  }

  processQueue() {
    if (this.isProcessingQueue || this.messageQueue.length === 0) return;
    this.isProcessingQueue = true;
    const processNext = () => {
      if (this.messageQueue.length === 0) { this.isProcessingQueue = false; return; }
      const item = this.messageQueue.shift();
      const { payload, startTime } = item;
      if (this.ws?.readyState !== WebSocket.OPEN) {
        this.messageQueue.unshift(item);
        setTimeout(processNext, 1000);
        return;
      }
      const latencyMs = Date.now() - startTime;
      this.updateMetrics(latencyMs, true);
      try {
        this.ws.send(JSON.stringify(payload));
        this.logAudit(payload, latencyMs, 'SUCCESS');
      } catch (err) {
        this.updateMetrics(latencyMs, false);
        this.logAudit(payload, latencyMs, 'FAILURE', err.message);
      }
      setTimeout(processNext, MIN_INTERVAL_MS);
    };
    processNext();
  }

  updateMetrics(latencyMs, success) {
    if (success) this.metrics.injected++; else this.metrics.failed++;
    const total = this.metrics.injected + this.metrics.failed;
    this.metrics.avgLatencyMs = ((this.metrics.avgLatencyMs * (total - 1) + latencyMs) / total).toFixed(2);
  }

  logAudit(payload, latencyMs, status, error = null) {
    console.log(JSON.stringify({
      type: 'AUDIT_LOG',
      timestamp: new Date().toISOString(),
      interactionId: payload.interactionId,
      urgency: payload.data.sentiment.urgency,
      latencyMs,
      status,
      error
    }));
  }

  async syncWithCRM(interactionId, emotion, confidence, urgency, retry = 0) {
    const url = process.env.CRM_WEBHOOK_URL;
    if (!url) return;
    try {
      await axios.post(url, { interactionId, sentiment: emotion, confidence, urgency, timestamp: new Date().toISOString() });
    } catch (err) {
      if ((err.response?.status === 429 || err.code === 'ECONNABORTED') && retry < 3) {
        await new Promise(r => setTimeout(r, Math.pow(2, retry) * 1000));
        return this.syncWithCRM(interactionId, emotion, confidence, urgency, retry + 1);
      }
      console.error('CRM sync failed:', err.message);
    }
  }

  async processTranscriptionChunk({ interactionId, text, confidence, predictedEmotion }) {
    if (confidence < 0.75) { console.log('Low confidence. Skipping.'); return; }
    const matrix = { anger: 0, joy: 0, sadness: 0, neutral: 0, fear: 0, surprise: 0 };
    matrix[predictedEmotion] = 1.0;
    const urgency = (predictedEmotion === 'anger' || predictedEmotion === 'fear') ? 'high' : 'medium';
    await this.injectSentiment(interactionId, matrix, urgency, confidence);
    await this.syncWithCRM(interactionId, predictedEmotion, confidence, urgency);
  }
}

// Initialize and expose injector
const injector = new SentimentInjector();
injector.connect().catch(console.error);
module.exports = injector;

Common Errors & Debugging

Error: 401 Unauthorized on WebSocket Handshake

• What causes it: The bearer token is missing, expired, or lacks the agentassist:interaction:write scope.
• How to fix it: Verify the Authorization header contains a valid token. Check the OAuth token response for the correct scope string. Implement automatic token refresh before expiration.
• Code showing the fix: The connect() method passes headers: { Authorization: 'Bearer ${this.token.token}' } and schedules refreshTokenAndReconnect() 60 seconds before expiry.

Error: 403 Forbidden on SEND Operation

• What causes it: The client ID lacks permissions for Agent Assist injection, or the interaction ID does not belong to an active conversation.
• How to fix it: Assign the agentassist:interaction:write scope to the OAuth client in the Genesys Cloud admin console. Verify the interaction ID matches a live conversation.
• Code showing the fix: Scope validation occurs during fetchOAuthToken(). The validateInjectionPayload() function ensures interactionId exists before queuing.

Error: 429 Too Many Requests on WebSocket Messages

• What causes it: Exceeding the maximum update frequency limit per interaction or per connection.
• How to fix it: Implement a message queue with a minimum interval between sends. The injection pipeline must coalesce rapid emotion updates.
• Code showing the fix: The processQueue() method enforces MIN_INTERVAL_MS between atomic SEND operations and re-queues messages if the connection drops.

Error: Schema Validation Failure

• What causes it: Emotion scores do not sum to 1.0, or urgency directive contains an invalid enum value.
• How to fix it: Normalize the emotion classification matrix before injection. Map routing directives to allowed values (low, medium, high, critical).
• Code showing the fix: validateInjectionPayload() calculates the total score and throws if Math.abs(totalScore - 1.0) > 0.05. It also checks urgency against the allowed array.

Official References

• Genesys Cloud Agent Assist WebSocket API Documentation
• Genesys Cloud OAuth 2.0 Token Endpoint
• Node.js ws Library Documentation
• Genesys Cloud Agent Assist Custom Data Injection Schema