Injecting real-time customer sentiment scores into NICE Cognigy context using the Genesys Cloud Interaction API and a Node.js adapter

What You Will Build

• This adapter polls the Genesys Cloud Interaction API for live sentiment metrics and pushes the numeric score directly into a running Cognigy dialog context.
• The implementation uses the Genesys Cloud Interaction API v2 and the Cognigy Platform API v3.
• The tutorial covers Node.js with ES modules, axios, and standard HTTP retry patterns.

Prerequisites

• Genesys Cloud OAuth Client Credentials grant with scope interaction:details:read
• Cognigy Platform API key or OAuth client with scope context:write
• Node.js 18 or higher
• npm install axios dotenv

Authentication Setup

Genesys Cloud requires a bearer token obtained via the client credentials flow. The token expires after sixty minutes, so the adapter must cache and refresh it before expiration. Cognigy accepts an API key in the X-API-Key header for server-to-server calls, which eliminates a second OAuth dance.

Create a .env file with the following variables:

GENESYS_ENVIRONMENT=api.mypurecloud.com
GENESYS_CLIENT_ID=your_genesys_client_id
GENESYS_CLIENT_SECRET=your_genesys_client_secret
COGNIGY_SITE=your-site
COGNIGY_API_KEY=your_cognigy_api_key
CONVERSATION_ID=abc123-def456-789ghi
DIALOG_ID=xyz987-uvw654-321rst
POLL_INTERVAL_MS=5000

Token acquisition and caching logic:

import axios from 'axios';
import dotenv from 'dotenv';

dotenv.config();

const GENESYS_BASE = `https://${process.env.GENESYS_ENVIRONMENT}`;
const COGNIGY_BASE = `https://${process.env.COGNIGY_SITE}.cognigy.ai`;

let genesysToken = null;
let tokenExpiry = 0;

async function getGenesysToken() {
  if (genesysToken && Date.now() < tokenExpiry) {
    return genesysToken;
  }

  const response = await axios.post(`${GENESYS_BASE}/oauth/token`, new URLSearchParams({
    grant_type: 'client_credentials',
    client_id: process.env.GENESYS_CLIENT_ID,
    client_secret: process.env.GENESYS_CLIENT_SECRET
  }), {
    headers: { 'Content-Type': 'application/x-www-form-urlencoded' }
  });

  genesysToken = response.data.access_token;
  tokenExpiry = Date.now() + (response.data.expires_in * 1000) - 60000; // Refresh 1 minute early
  return genesysToken;
}

Implementation

Step 1: Fetch real-time sentiment from Genesys Cloud

The Interaction API exposes live conversation metrics through a REST endpoint. You must pass type=realtime and metrics=sentiment to receive the current analysis state. The endpoint returns a sentiment object containing an overall score between 0 and 1.

Required OAuth scope: interaction:details:read

HTTP request cycle:

GET /api/v2/interactions/conversations/{conversationId}/details?type=realtime&metrics=sentiment
Host: api.mypurecloud.com
Authorization: Bearer <genesys_token>
Accept: application/json

Expected response:

{
  "id": "abc123-def456-789ghi",
  "sentiment": {
    "overall": 0.87,
    "byAgent": [],
    "byCustomer": [
      {
        "score": 0.87,
        "label": "positive"
      }
    ]
  }
}

Implementation with retry logic for 429 rate limits:

async function fetchSentiment(conversationId, maxRetries = 3) {
  const token = await getGenesysToken();
  let attempt = 0;

  while (attempt < maxRetries) {
    try {
      const response = await axios.get(`${GENESYS_BASE}/api/v2/interactions/conversations/${conversationId}/details`, {
        params: { type: 'realtime', metrics: 'sentiment' },
        headers: {
          Authorization: `Bearer ${token}`,
          Accept: 'application/json'
        }
      });

      if (response.status === 200) {
        return response.data.sentiment?.overall ?? null;
      }
      throw new Error(`Unexpected status: ${response.status}`);
    } catch (error) {
      if (axios.isAxiosError(error) && error.response?.status === 429) {
        attempt++;
        const delay = Math.pow(2, attempt) * 1000;
        console.warn(`429 Rate limited. Retrying in ${delay}ms...`);
        await new Promise(resolve => setTimeout(resolve, delay));
        continue;
      }
      throw error;
    }
  }
}

Step 2: Map sentiment score to Cognigy context structure

Cognigy expects context updates as a key-value object wrapped in a context property. You must sanitize the numeric score to avoid type mismatches in the Cognigy decision engine. The adapter converts the Genesys 0-1 float to a 0-100 integer for easier thresholding in Cognigy flows.

function prepareCognigyContext(sentimentScore) {
  if (sentimentScore === null || sentimentScore === undefined) {
    return { context: { sentimentScore: null, sentimentLabel: 'unknown' } };
  }

  const normalizedScore = Math.round(sentimentScore * 100);
  let label = 'neutral';
  if (normalizedScore >= 70) label = 'positive';
  else if (normalizedScore <= 30) label = 'negative';

  return {
    context: {
      sentimentScore: normalizedScore,
      sentimentLabel: label
    }
  };
}

Step 3: Push updated context to Cognigy

The Cognigy Platform API accepts a POST request to the dialog context endpoint. The request must include the X-API-Key header and the dialog identifier in the URL path. Cognigy returns 200 OK on success. If the dialog is inactive, the API returns 404.

Required Cognigy permission: context:write (if using OAuth) or valid API key scope.

HTTP request cycle:

POST /api/v3/dialogs/{dialogId}/context
Host: your-site.cognigy.ai
X-API-Key: your_cognigy_api_key
Content-Type: application/json
Authorization: Bearer <optional_if_using_api_key>

{
  "context": {
    "sentimentScore": 87,
    "sentimentLabel": "positive"
  }
}

Implementation with error classification:

async function updateCognigyContext(dialogId, contextPayload) {
  try {
    const response = await axios.post(
      `${COGNIGY_BASE}/api/v3/dialogs/${dialogId}/context`,
      contextPayload,
      {
        headers: {
          'X-API-Key': process.env.COGNIGY_API_KEY,
          'Content-Type': 'application/json'
        }
      }
    );

    if (response.status === 200) {
      console.log('Context updated successfully:', contextPayload);
    }
  } catch (error) {
    if (axios.isAxiosError(error)) {
      const status = error.response?.status;
      if (status === 401 || status === 403) {
        throw new Error(`Cognigy authentication failed. Status: ${status}`);
      }
      if (status === 404) {
        throw new Error(`Dialog ${dialogId} not found or inactive.`);
      }
      if (status === 429) {
        throw new Error('Cognigy rate limit exceeded.');
      }
    }
    throw error;
  }
}

Complete Working Example

Combine the authentication, polling, mapping, and update logic into a single executable module. Run the script with node index.js.

import axios from 'axios';
import dotenv from 'dotenv';

dotenv.config();

const GENESYS_BASE = `https://${process.env.GENESYS_ENVIRONMENT}`;
const COGNIGY_BASE = `https://${process.env.COGNIGY_SITE}.cognigy.ai`;

let genesysToken = null;
let tokenExpiry = 0;

async function getGenesysToken() {
  if (genesysToken && Date.now() < tokenExpiry) {
    return genesysToken;
  }

  const response = await axios.post(`${GENESYS_BASE}/oauth/token`, new URLSearchParams({
    grant_type: 'client_credentials',
    client_id: process.env.GENESYS_CLIENT_ID,
    client_secret: process.env.GENESYS_CLIENT_SECRET
  }), {
    headers: { 'Content-Type': 'application/x-www-form-urlencoded' }
  });

  genesysToken = response.data.access_token;
  tokenExpiry = Date.now() + (response.data.expires_in * 1000) - 60000;
  return genesysToken;
}

async function fetchSentiment(conversationId, maxRetries = 3) {
  const token = await getGenesysToken();
  let attempt = 0;

  while (attempt < maxRetries) {
    try {
      const response = await axios.get(`${GENESYS_BASE}/api/v2/interactions/conversations/${conversationId}/details`, {
        params: { type: 'realtime', metrics: 'sentiment' },
        headers: {
          Authorization: `Bearer ${token}`,
          Accept: 'application/json'
        }
      });

      if (response.status === 200) {
        return response.data.sentiment?.overall ?? null;
      }
      throw new Error(`Unexpected status: ${response.status}`);
    } catch (error) {
      if (axios.isAxiosError(error) && error.response?.status === 429) {
        attempt++;
        const delay = Math.pow(2, attempt) * 1000;
        console.warn(`429 Rate limited. Retrying in ${delay}ms...`);
        await new Promise(resolve => setTimeout(resolve, delay));
        continue;
      }
      throw error;
    }
  }
}

function prepareCognigyContext(sentimentScore) {
  if (sentimentScore === null || sentimentScore === undefined) {
    return { context: { sentimentScore: null, sentimentLabel: 'unknown' } };
  }

  const normalizedScore = Math.round(sentimentScore * 100);
  let label = 'neutral';
  if (normalizedScore >= 70) label = 'positive';
  else if (normalizedScore <= 30) label = 'negative';

  return {
    context: {
      sentimentScore: normalizedScore,
      sentimentLabel: label
    }
  };
}

async function updateCognigyContext(dialogId, contextPayload) {
  try {
    const response = await axios.post(
      `${COGNIGY_BASE}/api/v3/dialogs/${dialogId}/context`,
      contextPayload,
      {
        headers: {
          'X-API-Key': process.env.COGNIGY_API_KEY,
          'Content-Type': 'application/json'
        }
      }
    );

    if (response.status === 200) {
      console.log('Context updated successfully:', contextPayload);
    }
  } catch (error) {
    if (axios.isAxiosError(error)) {
      const status = error.response?.status;
      if (status === 401 || status === 403) {
        throw new Error(`Cognigy authentication failed. Status: ${status}`);
      }
      if (status === 404) {
        throw new Error(`Dialog ${dialogId} not found or inactive.`);
      }
      if (status === 429) {
        throw new Error('Cognigy rate limit exceeded.');
      }
    }
    throw error;
  }
}

async function runAdapter() {
  const conversationId = process.env.CONVERSATION_ID;
  const dialogId = process.env.DIALOG_ID;
  const interval = parseInt(process.env.POLL_INTERVAL_MS, 10) || 5000;

  if (!conversationId || !dialogId) {
    console.error('CONVERSATION_ID and DIALOG_ID must be set in environment.');
    process.exit(1);
  }

  console.log(`Starting sentiment adapter for conversation ${conversationId} -> dialog ${dialogId}`);

  while (true) {
    try {
      const score = await fetchSentiment(conversationId);
      const payload = prepareCognigyContext(score);
      await updateCognigyContext(dialogId, payload);
    } catch (error) {
      console.error('Adapter cycle failed:', error.message);
    }
    await new Promise(resolve => setTimeout(resolve, interval));
  }
}

runAdapter();

Common Errors & Debugging

Error: 401 Unauthorized (Genesys Cloud)

• Cause: Invalid client ID, expired secret, or missing interaction:details:read scope on the OAuth client.
• Fix: Verify the client credentials in the Genesys Admin console under Organization > Clients. Ensure the scope interaction:details:read is checked. Regenerate the secret if it was recently rotated.

Error: 403 Forbidden (Genesys Cloud)

• Cause: The OAuth client lacks permission to read interaction details, or the conversation belongs to an organization the client cannot access.
• Fix: Assign the Interaction Details role to the OAuth client. Confirm the conversationId matches an active interaction in the same environment.

Error: 429 Too Many Requests (Genesys Cloud or Cognigy)

• Cause: Polling frequency exceeds the platform rate limit. Genesys Cloud typically allows 60 requests per minute per client for analytics endpoints. Cognigy enforces strict limits on context updates.
• Fix: Increase POLL_INTERVAL_MS to at least 5000. The included exponential backoff handles transient spikes, but sustained limits require slower polling or switching to the Genesys WebSocket events stream.

Error: 404 Not Found (Cognigy)

• Cause: The dialogId does not exist, has ended, or the adapter is running against the wrong Cognigy site URL.
• Fix: Verify the DIALOG_ID matches an active session. Check that COGNIGY_SITE matches the exact subdomain in your Cognigy URL. Context updates only succeed while the dialog state is running or paused.

Error: 5xx Server Error

• Cause: Temporary backend outage or payload serialization failure.
• Fix: Log the full error.response.data for Genesys or Cognigy error codes. Implement a circuit breaker pattern in production to stop polling when consecutive 5xx responses occur.

Official References

• Genesys Cloud Interaction API: Conversation Details
• Genesys Cloud OAuth 2.0 Client Credentials
• NICE CXone Cognigy Platform API: Dialog Context
• Genesys Cloud Rate Limiting Guidelines