Retrieving NICE CXone Cognigy.AI Session History via Node.js Session API
What You Will Build
- A Node.js module that fetches, validates, and reconstructs conversation history using the Cognigy.AI Session API.
- This tutorial uses the Cognigy.AI REST API endpoints for session history and reconstruct operations.
- The implementation covers Node.js 18+ with modern async/await patterns, axios for HTTP, and zod for schema validation.
Prerequisites
- OAuth 2.0 Client Credentials grant with scopes:
cognigy:session:read,cognigy:history:read,cognigy:replay:execute - Cognigy.AI API v1 base URL (format:
https://{your-domain}.cognigy.ai/api/v1) - Node.js 18 or higher
- External dependencies:
npm install axios zod node-cron
Authentication Setup
The Cognigy.AI platform requires a Bearer token for all Session API operations. The following code implements token caching and automatic refresh logic to prevent redundant authentication calls and handle expiration gracefully.
const axios = require('axios');
const crypto = require('crypto');
class CognigyAuth {
constructor(baseUrl, clientId, clientSecret) {
this.baseUrl = baseUrl.replace(/\/api\/v1$/, '');
this.clientId = clientId;
this.clientSecret = clientSecret;
this.token = null;
this.tokenExpiry = 0;
}
async getAccessToken() {
if (this.token && Date.now() < this.tokenExpiry - 60000) {
return this.token;
}
const authHeader = Buffer.from(`${this.clientId}:${this.clientSecret}`).toString('base64');
const response = await axios.post(`${this.baseUrl}/oauth/token`, {
grant_type: 'client_credentials',
scope: 'cognigy:session:read cognigy:history:read cognigy:replay:execute'
}, {
headers: {
'Authorization': `Basic ${authHeader}`,
'Content-Type': 'application/json'
}
});
this.token = response.data.access_token;
this.tokenExpiry = Date.now() + (response.data.expires_in * 1000);
return this.token;
}
}
Implementation
Step 1: Pagination Validation and Maximum Turn Limits
The Cognigy.AI history endpoint enforces strict pagination and turn limits. You must validate request parameters before issuing the HTTP GET operation to prevent 400 Bad Request failures. The following function enforces schema constraints and calculates safe offset boundaries.
const { z } = require('zod');
const HistoryRequestSchema = z.object({
sessionId: z.string().uuid(),
limit: z.number().int().min(1).max(100).default(50),
offset: z.number().int().min(0).default(0),
maxTurns: z.number().int().min(1).max(500).default(200)
});
async function fetchSessionHistory(client, params) {
const validated = HistoryRequestSchema.parse(params);
if (validated.offset + validated.limit > validated.maxTurns) {
throw new Error('Pagination constraint violation: requested range exceeds maximum turn limits');
}
const token = await client.auth.getAccessToken();
const response = await client.http.get(`/sessions/${validated.sessionId}/history`, {
headers: { Authorization: `Bearer ${token}` },
params: {
limit: validated.limit,
offset: validated.offset,
maxTurns: validated.maxTurns
}
});
return response.data;
}
Step 2: Reconstruct Directive and Turn Matrix Construction
Reconstructing conversation state requires a structured payload containing the session reference, turn matrix, and explicit reconstruct directives. The API expects atomic submission of this matrix to evaluate context restore logic.
const ReconstructPayloadSchema = z.object({
sessionRef: z.string().uuid(),
turnMatrix: z.array(z.object({
turnId: z.string(),
timestamp: z.string().datetime(),
direction: z.enum(['inbound', 'outbound']),
contextState: z.record(z.unknown()),
deletedTurn: z.boolean().optional().default(false),
privacyRedacted: z.boolean().optional().default(false)
})).min(1),
reconstructDirective: z.object({
restoreContext: z.boolean().default(true),
validateOrdering: z.boolean().default(true),
triggerReplay: z.boolean().default(false)
})
});
async function buildReconstructPayload(historyData, sessionId) {
const turns = historyData.results.map(turn => ({
turnId: turn.id,
timestamp: turn.timestamp,
direction: turn.direction,
contextState: turn.context || {},
deletedTurn: turn.deleted || false,
privacyRedacted: turn.redacted || false
}));
const payload = ReconstructPayloadSchema.parse({
sessionRef: sessionId,
turnMatrix: turns,
reconstructDirective: {
restoreContext: true,
validateOrdering: true,
triggerReplay: false
}
});
return payload;
}
Step 3: Timestamp Ordering, Context Restore, and Privacy Verification
Before submitting the reconstruct directive, you must verify chronological ordering, evaluate context restore eligibility, and filter deleted or redacted turns to prevent data leakage during scaling operations.
function validateTurnMatrix(turnMatrix) {
const errors = [];
// Timestamp ordering calculation
const timestamps = turnMatrix.map(t => new Date(t.timestamp).getTime());
for (let i = 1; i < timestamps.length; i++) {
if (timestamps[i] < timestamps[i - 1]) {
errors.push(`Timestamp ordering violation at turn index ${i}`);
}
}
// Deleted turn and privacy redaction verification
const sensitiveTurns = turnMatrix.filter(t => t.deletedTurn || t.privacyRedacted);
if (sensitiveTurns.length > 0) {
errors.push(`Privacy redaction or deleted turn detected: ${sensitiveTurns.length} turns excluded from reconstruct`);
}
// Context restore evaluation logic
const hasValidContext = turnMatrix.some(t => Object.keys(t.contextState).length > 0);
if (!hasValidContext) {
errors.push('Context restore evaluation failed: no valid context state found in turn matrix');
}
return { isValid: errors.length === 0, errors };
}
Step 4: Atomic Reconstruct Submission, Latency Tracking, and Webhook Sync
The final step issues the atomic HTTP POST operation, tracks retrieval latency, calculates success rates, synchronizes with external audit webhooks, and generates governance logs.
async function executeReconstruct(client, payload, auditConfig) {
const startTime = Date.now();
const token = await client.auth.getAccessToken();
try {
const response = await client.http.post(`/sessions/${payload.sessionRef}/reconstruct`, payload, {
headers: { Authorization: `Bearer ${token}` }
});
const latency = Date.now() - startTime;
const successRate = auditConfig.successCount / (auditConfig.totalAttempts + 1);
auditConfig.successCount++;
auditConfig.totalAttempts++;
// External audit log synchronization via history replayed webhooks
await axios.post(auditConfig.webhookUrl, {
event: 'HISTORY_RECONSTRUCTED',
sessionId: payload.sessionRef,
turnCount: payload.turnMatrix.length,
latencyMs: latency,
successRate: parseFloat(successRate.toFixed(4)),
timestamp: new Date().toISOString(),
governanceHash: crypto.createHash('sha256').update(JSON.stringify(payload)).digest('hex')
});
return {
status: 'success',
data: response.data,
metrics: { latency, successRate, attempts: auditConfig.totalAttempts }
};
} catch (error) {
auditConfig.totalAttempts++;
throw error;
}
}
Complete Working Example
const axios = require('axios');
const crypto = require('crypto');
const { z } = require('zod');
class CognigyAuth {
constructor(baseUrl, clientId, clientSecret) {
this.baseUrl = baseUrl.replace(/\/api\/v1$/, '');
this.clientId = clientId;
this.clientSecret = clientSecret;
this.token = null;
this.tokenExpiry = 0;
}
async getAccessToken() {
if (this.token && Date.now() < this.tokenExpiry - 60000) {
return this.token;
}
const authHeader = Buffer.from(`${this.clientId}:${this.clientSecret}`).toString('base64');
const response = await axios.post(`${this.baseUrl}/oauth/token`, {
grant_type: 'client_credentials',
scope: 'cognigy:session:read cognigy:history:read cognigy:replay:execute'
}, {
headers: {
'Authorization': `Basic ${authHeader}`,
'Content-Type': 'application/json'
}
});
this.token = response.data.access_token;
this.tokenExpiry = Date.now() + (response.data.expires_in * 1000);
return this.token;
}
}
class CognigyHistoryRetriever {
constructor(config) {
this.auth = new CognigyAuth(config.baseUrl, config.clientId, config.clientSecret);
this.http = axios.create({
baseURL: config.baseUrl,
headers: { 'Content-Type': 'application/json' },
timeout: 15000
});
this.auditConfig = {
webhookUrl: config.webhookUrl,
successCount: 0,
totalAttempts: 0
};
}
async retrieveAndReconstruct(sessionId, paginationParams = {}) {
const historyData = await this._fetchHistory(sessionId, paginationParams);
const payload = await this._buildReconstructPayload(historyData, sessionId);
const validation = this._validateTurnMatrix(payload.turnMatrix);
if (!validation.isValid) {
throw new Error(`Reconstruct validation failed: ${validation.errors.join('; ')}`);
}
return await this._executeReconstruct(payload);
}
async _fetchHistory(sessionId, params) {
const validated = z.object({
limit: z.number().int().min(1).max(100).default(50),
offset: z.number().int().min(0).default(0),
maxTurns: z.number().int().min(1).max(500).default(200)
}).parse(params);
if (validated.offset + validated.limit > validated.maxTurns) {
throw new Error('Pagination constraint violation: requested range exceeds maximum turn limits');
}
const token = await this.auth.getAccessToken();
const response = await this.http.get(`/sessions/${sessionId}/history`, {
headers: { Authorization: `Bearer ${token}` },
params: { limit: validated.limit, offset: validated.offset, maxTurns: validated.maxTurns }
});
return response.data;
}
async _buildReconstructPayload(historyData, sessionId) {
const turns = historyData.results.map(turn => ({
turnId: turn.id,
timestamp: turn.timestamp,
direction: turn.direction,
contextState: turn.context || {},
deletedTurn: turn.deleted || false,
privacyRedacted: turn.redacted || false
}));
return z.object({
sessionRef: z.string().uuid(),
turnMatrix: z.array(z.object({
turnId: z.string(),
timestamp: z.string().datetime(),
direction: z.enum(['inbound', 'outbound']),
contextState: z.record(z.unknown()),
deletedTurn: z.boolean().optional().default(false),
privacyRedacted: z.boolean().optional().default(false)
})).min(1),
reconstructDirective: z.object({
restoreContext: z.boolean().default(true),
validateOrdering: z.boolean().default(true),
triggerReplay: z.boolean().default(false)
})
}).parse({
sessionRef: sessionId,
turnMatrix: turns,
reconstructDirective: { restoreContext: true, validateOrdering: true, triggerReplay: false }
});
}
_validateTurnMatrix(turnMatrix) {
const errors = [];
const timestamps = turnMatrix.map(t => new Date(t.timestamp).getTime());
for (let i = 1; i < timestamps.length; i++) {
if (timestamps[i] < timestamps[i - 1]) {
errors.push(`Timestamp ordering violation at turn index ${i}`);
}
}
const sensitiveTurns = turnMatrix.filter(t => t.deletedTurn || t.privacyRedacted);
if (sensitiveTurns.length > 0) {
errors.push(`Privacy redaction or deleted turn detected: ${sensitiveTurns.length} turns excluded from reconstruct`);
}
const hasValidContext = turnMatrix.some(t => Object.keys(t.contextState).length > 0);
if (!hasValidContext) {
errors.push('Context restore evaluation failed: no valid context state found in turn matrix');
}
return { isValid: errors.length === 0, errors };
}
async _executeReconstruct(payload) {
const startTime = Date.now();
const token = await this.auth.getAccessToken();
try {
const response = await this.http.post(`/sessions/${payload.sessionRef}/reconstruct`, payload, {
headers: { Authorization: `Bearer ${token}` }
});
const latency = Date.now() - startTime;
const successRate = this.auditConfig.successCount / (this.auditConfig.totalAttempts + 1);
this.auditConfig.successCount++;
this.auditConfig.totalAttempts++;
await axios.post(this.auditConfig.webhookUrl, {
event: 'HISTORY_RECONSTRUCTED',
sessionId: payload.sessionRef,
turnCount: payload.turnMatrix.length,
latencyMs: latency,
successRate: parseFloat(successRate.toFixed(4)),
timestamp: new Date().toISOString(),
governanceHash: crypto.createHash('sha256').update(JSON.stringify(payload)).digest('hex')
});
return {
status: 'success',
data: response.data,
metrics: { latency, successRate, attempts: this.auditConfig.totalAttempts }
};
} catch (error) {
this.auditConfig.totalAttempts++;
if (error.response && error.response.status === 429) {
await this._handleRateLimit(error);
}
throw error;
}
}
async _handleRateLimit(error) {
const retryAfter = error.response.headers['retry-after'] || 2;
console.warn(`Rate limit reached. Retrying after ${retryAfter} seconds.`);
await new Promise(resolve => setTimeout(resolve, retryAfter * 1000));
throw new Error('Rate limit exceeded after retry window');
}
}
module.exports = { CognigyHistoryRetriever };
// Usage Example
if (require.main === module) {
const retriever = new CognigyHistoryRetriever({
baseUrl: process.env.COGNIGY_API_URL || 'https://example.cognigy.ai/api/v1',
clientId: process.env.COGNIGY_CLIENT_ID || 'your-client-id',
clientSecret: process.env.COGNIGY_CLIENT_SECRET || 'your-client-secret',
webhookUrl: process.env.AUDIT_WEBHOOK_URL || 'https://your-audit-system.example.com/webhooks/cognigy-history'
});
(async () => {
try {
const result = await retriever.retrieveAndReconstruct('550e8400-e29b-41d4-a716-446655440000', {
limit: 25,
offset: 0,
maxTurns: 100
});
console.log('Reconstruct completed:', JSON.stringify(result, null, 2));
} catch (err) {
console.error('Retriever failed:', err.message);
process.exit(1);
}
})();
}
Common Errors & Debugging
Error: 401 Unauthorized
- What causes it: The OAuth token has expired, the client credentials are incorrect, or the requested scopes are not granted to the OAuth client.
- How to fix it: Verify the
client_idandclient_secretmatch your Cognigy.AI integration settings. Ensure the token cache is invalidated when expiration approaches. Add explicit scope verification in your authentication provider. - Code showing the fix: The
CognigyAuthclass automatically refreshes tokens whenDate.now() >= tokenExpiry - 60000. If authentication fails consistently, regenerate the client secret in the Cognigy.AI admin console and update environment variables.
Error: 429 Too Many Requests
- What causes it: The Session API enforces rate limits per tenant. Rapid pagination loops or concurrent reconstruct calls trigger cascading 429 responses.
- How to fix it: Implement exponential backoff and respect the
Retry-Afterheader. The_handleRateLimitmethod captures the header value and delays execution before throwing a controlled error. - Code showing the fix: Replace synchronous retry loops with async delay functions. Track request timestamps and enforce a minimum interval of 200 milliseconds between history fetch calls.
Error: 400 Bad Request (Schema Validation Failure)
- What causes it: The turn matrix contains malformed timestamps, missing context states, or pagination parameters exceed the
maxTurnsboundary. - How to fix it: Run the payload through the Zod schema before submission. Verify that
offset + limitnever exceedsmaxTurns. Ensure all timestamps conform to ISO 8601 format. - Code showing the fix: The
HistoryRequestSchemaandReconstructPayloadSchemablocks explicitly reject invalid structures. Wrap API calls in try-catch blocks and log the Zod error messages for rapid debugging.
Error: 404 Not Found
- What causes it: The session reference does not exist, the session has been archived beyond retention policies, or the domain URL is misconfigured.
- How to fix it: Validate the UUID format and verify session existence via
GET /api/v1/sessions/{sessionId}before attempting history retrieval. Check tenant retention settings for deleted or expired sessions. - Code showing the fix: Add a pre-flight existence check that returns early with a descriptive message if the session endpoint returns 404.