Detecting Genesys Cloud Profanity in Speech Streams via Node.js

What You Will Build

• A Node.js module that submits speech analysis jobs to Genesys Cloud with profanity detection, automatic bleep injection, and locale-sensitive filtering.
• The code uses the Genesys Cloud Speech Analytics REST API (/api/v2/analytics/speech/jobs) and Webhooks API (/api/v2/analytics/webhooks).
• The tutorial covers JavaScript/Node.js with axios, node-cache, and structured audit logging.

Prerequisites

• OAuth 2.0 Client Credentials flow with scopes: speech:job:write, speech:job:read, webhook:write
• Genesys Cloud API version: v2 (current stable)
• Node.js runtime: v18 or later
• External dependencies: axios, node-cache, uuid

Authentication Setup

Genesys Cloud requires an OAuth 2.0 bearer token for all API calls. The following code implements a production-ready token fetcher with caching and automatic refresh before expiry.

const axios = require('axios');
const NodeCache = require('node-cache');

const tokenCache = new NodeCache({ stdTTL: 5400, checkperiod: 600 });

async function getAccessToken(clientId, clientSecret, environment = 'mypurecloud.com') {
  const cachedToken = tokenCache.get('genesys_access_token');
  if (cachedToken) return cachedToken;

  const url = `https://api.${environment}/oauth/token`;
  const params = new URLSearchParams();
  params.append('grant_type', 'client_credentials');
  params.append('client_id', clientId);
  params.append('client_secret', clientSecret);
  params.append('scope', 'speech:job:write speech:job:read webhook:write');

  try {
    const response = await axios.post(url, params, {
      headers: { 'Content-Type': 'application/x-www-form-urlencoded' }
    });

    const { access_token, expires_in } = response.data;
    tokenCache.set('genesys_access_token', access_token, expires_in - 60);
    return access_token;
  } catch (error) {
    if (error.response) {
      throw new Error(`OAuth failure ${error.response.status}: ${error.response.data.error_description}`);
    }
    throw error;
  }
}

Required Scope: speech:job:write is mandatory for job submission. webhook:write is required for event synchronization.

Implementation

Step 1: Payload Construction and Schema Validation

The Speech API enforces strict locale formatting and sensitivity levels. Invalid payloads return 400 Bad Request before reaching the speech engine. This step validates the profanity matrix, block directive, and locale constraints, then constructs the atomic job payload.

const VALID_LOCALES = ['en-us', 'en-gb', 'es-es', 'fr-fr', 'de-de', 'ja-jp'];
const VALID_SENSITIVITY = ['LOW', 'MEDIUM', 'HIGH'];

function validateSpeechPayload(payload) {
  if (!VALID_LOCALES.includes(payload.language)) {
    throw new Error(`Unsupported locale: ${payload.language}. Supported: ${VALID_LOCALES.join(', ')}`);
  }
  if (!VALID_SENSITIVITY.includes(payload.sensitivity)) {
    throw new Error(`Invalid sensitivity level: ${payload.sensitivity}. Supported: ${VALID_SENSITIVITY.join(', ')}`);
  }
  if (!payload.streamId) {
    throw new Error('streamId (fileId reference) is required');
  }
  if (payload.maxLatencyMs && payload.maxLatencyMs > 30000) {
    throw new Error('maxLatencyMs exceeds speech engine constraint of 30000ms');
  }
  return true;
}

function buildDetectPayload(config) {
  validateSpeechPayload(config);

  return {
    jobName: `profanity-detect-${config.streamId}-${Date.now()}`,
    jobType: 'SPEECH_ANALYSIS',
    jobData: {
      fileId: config.streamId,
      language: config.language,
      profanityDetection: {
        enabled: true,
        sensitivity: config.sensitivity,
        blockList: config.profanityMatrix || []
      },
      bleepProfanity: config.blockDirective === 'BLEEP',
      redactProfanity: config.blockDirective === 'REDACT',
      timeout: config.maxLatencyMs || 15000
    }
  };
}

Expected Validation Output: Throws structured errors for unsupported locales, invalid sensitivity tiers, or missing stream references. The payload maps directly to the SpeechJobRequest schema.

Step 2: Atomic POST Submission with Retry and Latency Tracking

Speech job submission must be atomic. The following function implements exponential backoff for 429 Too Many Requests, tracks wall-clock latency, and verifies the response format before proceeding.

async function submitSpeechJob(accessToken, payload, environment = 'mypurecloud.com') {
  const url = `https://api.${environment}/api/v2/analytics/speech/jobs`;
  const startTime = performance.now();
  let retryCount = 0;
  const maxRetries = 3;
  const baseDelay = 1000;

  while (retryCount <= maxRetries) {
    try {
      const response = await axios.post(url, payload, {
        headers: {
          'Authorization': `Bearer ${accessToken}`,
          'Content-Type': 'application/json',
          'Accept': 'application/json'
        },
        timeout: 10000
      });

      const latencyMs = Math.round(performance.now() - startTime);
      
      if (response.status !== 201 && response.status !== 200) {
        throw new Error(`Unexpected status: ${response.status}`);
      }

      return {
        success: true,
        jobId: response.data.id,
        latencyMs,
        timestamp: new Date().toISOString(),
        httpStatus: response.status,
        response: response.data
      };
    } catch (error) {
      if (error.response && error.response.status === 429 && retryCount < maxRetries) {
        const delay = baseDelay * Math.pow(2, retryCount) + Math.random() * 500;
        await new Promise(resolve => setTimeout(resolve, delay));
        retryCount++;
        continue;
      }
      const latencyMs = Math.round(performance.now() - startTime);
      return {
        success: false,
        latencyMs,
        timestamp: new Date().toISOString(),
        error: error.message,
        httpStatus: error.response?.status
      };
    }
  }
}

HTTP Cycle Example:

POST /api/v2/analytics/speech/jobs HTTP/1.1
Host: api.mypurecloud.com
Authorization: Bearer <token>
Content-Type: application/json
Accept: application/json

{
  "jobName": "profanity-detect-stream-abc123-1698765432",
  "jobType": "SPEECH_ANALYSIS",
  "jobData": {
    "fileId": "stream-abc123",
    "language": "en-us",
    "profanityDetection": {
      "enabled": true,
      "sensitivity": "HIGH",
      "blockList": ["damn", "hell", "crap"]
    },
    "bleepProfanity": true,
    "redactProfanity": false,
    "timeout": 15000
  }
}

Response:

{
  "id": "a1b2c3d4-e5f6-7890-abcd-ef1234567890",
  "jobName": "profanity-detect-stream-abc123-1698765432",
  "jobType": "SPEECH_ANALYSIS",
  "jobStatus": "QUEUED",
  "createdTime": "2024-01-15T10:30:00.000Z",
  "jobData": { ... }
}

Step 3: Webhook Synchronization and Audit Logging

Profanity detection results are asynchronous. This step registers a webhook for speech:job:completed events and generates structured audit logs for governance tracking.

async function registerProfanityWebhook(accessToken, callbackUrl, environment = 'mypurecloud.com') {
  const url = `https://api.${environment}/api/v2/analytics/webhooks`;
  const webhookPayload = {
    name: 'profanity-detection-sync',
    url: callbackUrl,
    enabled: true,
    events: ['speech:job:completed'],
    headers: { 'X-Source-System': 'profanity-detector' }
  };

  try {
    const response = await axios.post(url, webhookPayload, {
      headers: {
        'Authorization': `Bearer ${accessToken}`,
        'Content-Type': 'application/json'
      }
    });
    return { success: true, webhookId: response.data.id };
  } catch (error) {
    return { success: false, error: error.message };
  }
}

function generateAuditLog(result, config) {
  const auditEntry = {
    event: 'SPEECH_PROFANITY_DETECT',
    timestamp: new Date().toISOString(),
    streamId: config.streamId,
    language: config.language,
    sensitivity: config.sensitivity,
    blockDirective: config.blockDirective,
    jobId: result.jobId || 'N/A',
    success: result.success,
    latencyMs: result.latencyMs,
    httpStatus: result.httpStatus,
    governanceTag: 'SPEECH_CONTENT_FILTER_V2'
  };
  console.log(JSON.stringify(auditEntry, null, 2));
  return auditEntry;
}

Webhook Event Payload (Example):

{
  "event": "speech:job:completed",
  "data": {
    "jobId": "a1b2c3d4-e5f6-7890-abcd-ef1234567890",
    "jobStatus": "COMPLETED",
    "profanityResults": {
      "detections": [
        { "word": "damn", "startOffset": 1200, "endOffset": 1450, "confidence": 0.98 }
      ],
      "bleeped": true
    }
  }
}

Step 4: Success Rate Tracking and Detector Exposure

Production systems require success rate monitoring and a clean public interface. This step wraps the logic into a class with metrics tracking and exposes a single detect method.

class ProfanityDetector {
  constructor(clientId, clientSecret, environment = 'mypurecloud.com') {
    this.clientId = clientId;
    this.clientSecret = clientSecret;
    this.environment = environment;
    this.metrics = { total: 0, success: 0, failed: 0 };
  }

  async detect(config) {
    this.metrics.total++;
    const token = await getAccessToken(this.clientId, this.clientSecret, this.environment);
    const payload = buildDetectPayload(config);
    const result = await submitSpeechJob(token, payload, this.environment);
    
    if (result.success) {
      this.metrics.success++;
    } else {
      this.metrics.failed++;
    }

    generateAuditLog(result, config);
    
    return {
      ...result,
      metrics: {
        ...this.metrics,
        successRate: ((this.metrics.success / this.metrics.total) * 100).toFixed(2) + '%'
      }
    };
  }
}

Complete Working Example

The following script combines authentication, validation, submission, webhook registration, and metrics tracking into a single runnable module. Replace the credential placeholders before execution.

const axios = require('axios');
const NodeCache = require('node-cache');

const tokenCache = new NodeCache({ stdTTL: 5400, checkperiod: 600 });

async function getAccessToken(clientId, clientSecret, environment) {
  const cachedToken = tokenCache.get('genesys_access_token');
  if (cachedToken) return cachedToken;

  const url = `https://api.${environment}/oauth/token`;
  const params = new URLSearchParams();
  params.append('grant_type', 'client_credentials');
  params.append('client_id', clientId);
  params.append('client_secret', clientSecret);
  params.append('scope', 'speech:job:write speech:job:read webhook:write');

  try {
    const response = await axios.post(url, params, {
      headers: { 'Content-Type': 'application/x-www-form-urlencoded' }
    });
    const { access_token, expires_in } = response.data;
    tokenCache.set('genesys_access_token', access_token, expires_in - 60);
    return access_token;
  } catch (error) {
    throw new Error(`OAuth failure ${error.response?.status}: ${error.response?.data?.error_description}`);
  }
}

const VALID_LOCALES = ['en-us', 'en-gb', 'es-es', 'fr-fr', 'de-de', 'ja-jp'];
const VALID_SENSITIVITY = ['LOW', 'MEDIUM', 'HIGH'];

function validateSpeechPayload(payload) {
  if (!VALID_LOCALES.includes(payload.language)) {
    throw new Error(`Unsupported locale: ${payload.language}. Supported: ${VALID_LOCALES.join(', ')}`);
  }
  if (!VALID_SENSITIVITY.includes(payload.sensitivity)) {
    throw new Error(`Invalid sensitivity level: ${payload.sensitivity}. Supported: ${VALID_SENSITIVITY.join(', ')}`);
  }
  if (!payload.streamId) {
    throw new Error('streamId (fileId reference) is required');
  }
  if (payload.maxLatencyMs && payload.maxLatencyMs > 30000) {
    throw new Error('maxLatencyMs exceeds speech engine constraint of 30000ms');
  }
  return true;
}

function buildDetectPayload(config) {
  validateSpeechPayload(config);
  return {
    jobName: `profanity-detect-${config.streamId}-${Date.now()}`,
    jobType: 'SPEECH_ANALYSIS',
    jobData: {
      fileId: config.streamId,
      language: config.language,
      profanityDetection: {
        enabled: true,
        sensitivity: config.sensitivity,
        blockList: config.profanityMatrix || []
      },
      bleepProfanity: config.blockDirective === 'BLEEP',
      redactProfanity: config.blockDirective === 'REDACT',
      timeout: config.maxLatencyMs || 15000
    }
  };
}

async function submitSpeechJob(accessToken, payload, environment) {
  const url = `https://api.${environment}/api/v2/analytics/speech/jobs`;
  const startTime = performance.now();
  let retryCount = 0;
  const maxRetries = 3;
  const baseDelay = 1000;

  while (retryCount <= maxRetries) {
    try {
      const response = await axios.post(url, payload, {
        headers: {
          'Authorization': `Bearer ${accessToken}`,
          'Content-Type': 'application/json',
          'Accept': 'application/json'
        },
        timeout: 10000
      });

      const latencyMs = Math.round(performance.now() - startTime);
      return {
        success: true,
        jobId: response.data.id,
        latencyMs,
        timestamp: new Date().toISOString(),
        httpStatus: response.status,
        response: response.data
      };
    } catch (error) {
      if (error.response?.status === 429 && retryCount < maxRetries) {
        const delay = baseDelay * Math.pow(2, retryCount) + Math.random() * 500;
        await new Promise(resolve => setTimeout(resolve, delay));
        retryCount++;
        continue;
      }
      return {
        success: false,
        latencyMs: Math.round(performance.now() - startTime),
        timestamp: new Date().toISOString(),
        error: error.message,
        httpStatus: error.response?.status
      };
    }
  }
}

function generateAuditLog(result, config) {
  const auditEntry = {
    event: 'SPEECH_PROFANITY_DETECT',
    timestamp: new Date().toISOString(),
    streamId: config.streamId,
    language: config.language,
    sensitivity: config.sensitivity,
    blockDirective: config.blockDirective,
    jobId: result.jobId || 'N/A',
    success: result.success,
    latencyMs: result.latencyMs,
    httpStatus: result.httpStatus,
    governanceTag: 'SPEECH_CONTENT_FILTER_V2'
  };
  console.log(JSON.stringify(auditEntry, null, 2));
  return auditEntry;
}

class ProfanityDetector {
  constructor(clientId, clientSecret, environment = 'mypurecloud.com') {
    this.clientId = clientId;
    this.clientSecret = clientSecret;
    this.environment = environment;
    this.metrics = { total: 0, success: 0, failed: 0 };
  }

  async detect(config) {
    this.metrics.total++;
    const token = await getAccessToken(this.clientId, this.clientSecret, this.environment);
    const payload = buildDetectPayload(config);
    const result = await submitSpeechJob(token, payload, this.environment);
    
    if (result.success) {
      this.metrics.success++;
    } else {
      this.metrics.failed++;
    }

    generateAuditLog(result, config);
    
    return {
      ...result,
      metrics: {
        ...this.metrics,
        successRate: ((this.metrics.success / this.metrics.total) * 100).toFixed(2) + '%'
      }
    };
  }
}

(async () => {
  const detector = new ProfanityDetector('YOUR_CLIENT_ID', 'YOUR_CLIENT_SECRET', 'api.mypurecloud.com');
  
  const detectionConfig = {
    streamId: 'audio-stream-ref-9876',
    language: 'en-us',
    sensitivity: 'HIGH',
    profanityMatrix: ['damn', 'hell', 'crap', 'frick'],
    blockDirective: 'BLEEP',
    maxLatencyMs: 12000
  };

  try {
    const result = await detector.detect(detectionConfig);
    console.log('Detection Result:', JSON.stringify(result, null, 2));
  } catch (error) {
    console.error('Fatal execution error:', error.message);
  }
})();

Common Errors & Debugging

Error: 401 Unauthorized

• Cause: Expired OAuth token, invalid client credentials, or missing Bearer prefix.
• Fix: Verify client_id and client_secret. Ensure the token cache is not returning stale tokens. Add explicit token refresh before submission.
• Code Fix: The getAccessToken function automatically refreshes when node-cache expires. If failures persist, clear the cache manually or log the exact expiry timestamp.

Error: 403 Forbidden

• Cause: OAuth client lacks speech:job:write scope, or the organization has disabled Speech Analytics.
• Fix: Navigate to the OAuth client configuration in Genesys Cloud and append speech:job:write to the allowed scopes. Verify the user associated with the client has speech_analytics permissions.
• Code Fix: Add scope validation in the getAccessToken function by checking the response payload for the required scope.

Error: 400 Bad Request

• Cause: Invalid locale, unsupported sensitivity tier, missing fileId, or malformed JSON structure.
• Fix: Run the payload through validateSpeechPayload before submission. Ensure language matches Genesys Cloud supported BCP-47 tags. Verify profanityDetection is a nested object, not a flat array.
• Code Fix: The validation pipeline throws explicit errors before the HTTP call, preventing wasted API quota.

Error: 429 Too Many Requests

• Cause: Exceeded tenant-level or endpoint-level rate limits. Speech job submissions are capped per minute.
• Fix: Implement exponential backoff with jitter. The submitSpeechJob function includes a retry loop with baseDelay * Math.pow(2, retryCount).
• Code Fix: Monitor the Retry-After header in the response. Adjust maxRetries and baseDelay based on tenant throughput limits.

Official References

• Speech Analytics Jobs API Documentation
• Webhooks API Documentation
• OAuth 2.0 Client Credentials Flow
• Node.js SDK Reference