Promoting NICE Cognigy.AI Model Snapshots via REST API with TypeScript

What You Will Build

• A TypeScript automation module that promotes Cognigy.AI model snapshots across environments with strict validation gates, rollback preparation, and external webhook synchronization.
• This tutorial uses the Cognigy.AI REST API endpoints /api/v1/snapshots, /api/v1/promotions, /api/v1/environments, /api/v1/analytics/model-performance, and /api/v1/regression-tests.
• The implementation is written in TypeScript 5.2 using axios for HTTP transport and zod for strict schema validation.

Prerequisites

• Cognigy.AI API token with snapshots:read, snapshots:write, environments:read, promotions:execute, analytics:read, regression-tests:execute scopes
• Node.js 18+ and TypeScript 5.2+
• npm install axios zod dotenv @types/node
• Access to Cognigy.AI AI model registry, environment configuration, and regression test suite endpoints
• An external webhook endpoint capable of receiving JSON promotion status payloads

Authentication Setup

Cognigy.AI uses bearer token authentication for API access. The following code demonstrates a token fetch pattern with in-memory caching and automatic refresh on 401 responses.

import axios, { AxiosInstance, AxiosRequestConfig } from 'axios';
import { z } from 'zod';

const COGNIGY_BASE_URL = process.env.COGNIGY_BASE_URL || 'https://your-domain.cognigy.ai';
const API_TOKEN = process.env.COGNIGY_API_TOKEN;

export const CognigyClient = axios.create({
  baseURL: `${COGNIGY_BASE_URL}/api/v1`,
  timeout: 15000,
  headers: {
    'Content-Type': 'application/json',
    'Accept': 'application/json',
  },
});

let cachedToken = API_TOKEN;
let tokenExpiry = Date.now() + 5400000; // 90 minutes default

const refreshToken = async () => {
  if (!API_TOKEN) throw new Error('COGNIGY_API_TOKEN environment variable is required');
  cachedToken = API_TOKEN;
  tokenExpiry = Date.now() + 5400000;
  CognigyClient.defaults.headers.common['Authorization'] = `Bearer ${cachedToken}`;
};

CognigyClient.interceptors.response.use(
  response => response,
  async error => {
    if (error.response?.status === 401 && Date.now() >= tokenExpiry) {
      await refreshToken();
      const originalRequest = error.config as AxiosRequestConfig & { _retry?: boolean };
      if (!originalRequest._retry) {
        originalRequest._retry = true;
        originalRequest.headers!.Authorization = `Bearer ${cachedToken}`;
        return CognigyClient(originalRequest);
      }
    }
    return Promise.reject(error);
  }
);

// Retry logic for 429 rate limits
CognigyClient.interceptors.response.use(
  response => response,
  async error => {
    if (error.response?.status === 429) {
      const retryAfter = parseInt(error.response.headers['retry-after'] || '5', 10);
      await new Promise(resolve => setTimeout(resolve, retryAfter * 1000));
      const originalRequest = error.config as AxiosRequestConfig & { _retryCount?: number };
      originalRequest._retryCount = (originalRequest._retryCount || 0) + 1;
      if (originalRequest._retryCount < 3) {
        return CognigyClient(originalRequest);
      }
    }
    return Promise.reject(error);
  }
);

refreshToken();

Implementation

Step 1: Initialize Client and Define Promotion Schema

Define the promotion payload structure using Zod. The schema enforces snapshot ID references, environment target matrices, and validation gate directives.

import { z } from 'zod';

export const PromotionPayloadSchema = z.object({
  snapshotId: z.string().uuid(),
  targetEnvironments: z.array(z.string().min(1)),
  validationGates: z.object({
    requirePerformanceMetrics: z.boolean(),
    requireRegressionTests: z.boolean(),
    minAccuracyThreshold: z.number().min(0).max(1).optional().default(0.85),
    maxLatencyMs: z.number().positive().optional().default(300),
  }),
  rollbackOnFailure: z.boolean().default(true),
  metadata: z.record(z.string(), z.unknown()).optional(),
});

export type PromotionPayload = z.infer<typeof PromotionPayloadSchema>;

Step 2: Validate Registry Constraints and Promotion Frequency

Query the AI model registry to verify the snapshot exists and check promotion frequency limits. Cognigy.AI enforces a maximum promotion frequency to prevent registry thrashing.

import { CognigyClient } from './auth';

interface RegistrySnapshot {
  id: string;
  modelId: string;
  status: string;
  lastPromotedAt: string | null;
  promotionCountLast24h: number;
}

const MAX_PROMOTIONS_PER_DAY = 5;

export const validateSnapshotConstraints = async (snapshotId: string): Promise<RegistrySnapshot> => {
  try {
    const response = await CognigyClient.get<RegistrySnapshot>(`/snapshots/${snapshotId}`);
    const snapshot = response.data;

    if (snapshot.status !== 'READY') {
      throw new Error(`Snapshot ${snapshotId} is not in READY state. Current status: ${snapshot.status}`);
    }

    if (snapshot.promotionCountLast24h >= MAX_PROMOTIONS_PER_DAY) {
      throw new Error(`Maximum promotion frequency limit reached for snapshot ${snapshotId}. Reset occurs at midnight UTC.`);
    }

    return snapshot;
  } catch (error) {
    if (axios.isAxiosError(error)) {
      throw new Error(`Registry validation failed: ${error.response?.statusText || error.message}`);
    }
    throw error;
  }
};

Step 3: Execute Atomic Promotion with Rollback Preparation

Perform the atomic PUT operation to initiate the environment transition. The request includes format verification and automatic rollback preparation triggers.

import { CognigyClient } from './auth';
import { PromotionPayload } from './schema';

interface PromotionResponse {
  promotionId: string;
  status: 'PENDING' | 'VALIDATING' | 'DEPLOYING' | 'COMPLETED' | 'FAILED';
  rollbackSnapshotId: string | null;
  initiatedAt: string;
}

export const executeAtomicPromotion = async (payload: PromotionPayload): Promise<PromotionResponse> => {
  const validatedPayload = PromotionPayloadSchema.parse(payload);

  try {
    const response = await CognigyClient.put<PromotionResponse>(
      `/snapshots/${validatedPayload.snapshotId}/promotions`,
      validatedPayload,
      {
        headers: {
          'X-Idempotency-Key': `promote-${validatedPayload.snapshotId}-${Date.now()}`,
          'X-Validation-Gate': validatedPayload.validationGates.requireRegressionTests ? 'STRICT' : 'BASIC',
        },
      }
    );

    if (response.data.status === 'FAILED') {
      throw new Error(`Promotion failed immediately: ${response.data.status}`);
    }

    return response.data;
  } catch (error) {
    if (axios.isAxiosError(error)) {
      const status = error.response?.status;
      if (status === 409) {
        throw new Error('Conflict: Snapshot is currently locked by another promotion operation.');
      }
      throw new Error(`Atomic promotion failed with status ${status}: ${error.response?.data?.message || error.message}`);
    }
    throw error;
  }
};

Step 4: Run Validation Gates and Synchronize Webhooks

Implement performance metric checking and regression test verification pipelines. Track latency, success rates, generate audit logs, and synchronize with external release managers via webhooks.

import { CognigyClient } from './auth';
import { PromotionPayload } from './schema';

interface PerformanceMetrics {
  accuracy: number;
  latencyP95Ms: number;
  errorRate: number;
}

interface RegressionResult {
  testId: string;
  passed: boolean;
  failures: string[];
}

interface AuditLog {
  timestamp: string;
  action: string;
  snapshotId: string;
  promotionId: string;
  status: string;
  metrics?: Partial<PerformanceMetrics>;
  durationMs: number;
}

const WEBHOOK_URL = process.env.PROMOTION_WEBHOOK_URL;

export const runValidationGatesAndSync = async (
  promotionId: string,
  payload: PromotionPayload,
  auditLogs: AuditLog[]
): Promise<{ success: boolean; metrics: PerformanceMetrics; regressionResults: RegressionResult[] }> => {
  const startTime = Date.now();
  const gates = payload.validationGates;

  try {
    // Fetch performance metrics
    const metricsResponse = await CognigyClient.get<PerformanceMetrics>(
      `/analytics/model-performance`,
      { params: { snapshotId: payload.snapshotId, environment: payload.targetEnvironments[0] } }
    );
    const metrics = metricsResponse.data;

    // Execute regression tests
    const regressionResponse = await CognigyClient.post<RegressionResult[]>(
      `/regression-tests/execute`,
      { snapshotId: payload.snapshotId, environment: payload.targetEnvironments[0] }
    );
    const regressionResults = regressionResponse.data;

    // Validate against gates
    const accuracyPassed = metrics.accuracy >= gates.minAccuracyThreshold;
    const latencyPassed = metrics.latencyP95Ms <= gates.maxLatencyMs;
    const regressionPassed = regressionResults.every(r => r.passed);

    const allGatesPassed = gates.requirePerformanceMetrics ? (accuracyPassed && latencyPassed) : true;
    const finalPassed = allGatesPassed && (gates.requireRegressionTests ? regressionPassed : true);

    const duration = Date.now() - startTime;
    const status = finalPassed ? 'VALIDATED' : 'VALIDATION_FAILED';

    // Audit logging
    const logEntry: AuditLog = {
      timestamp: new Date().toISOString(),
      action: finalPassed ? 'PROMOTION_VALIDATED' : 'PROMOTION_REJECTED',
      snapshotId: payload.snapshotId,
      promotionId,
      status,
      metrics,
      durationMs: duration,
    };
    auditLogs.push(logEntry);
    console.log(JSON.stringify(logEntry, null, 2));

    // Webhook synchronization
    if (WEBHOOK_URL) {
      await axios.post(WEBHOOK_URL, {
        promotionId,
        snapshotId: payload.snapshotId,
        status,
        metrics,
        regressionSummary: {
          total: regressionResults.length,
          passed: regressionResults.filter(r => r.passed).length,
          failed: regressionResults.filter(r => !r.passed).length,
        },
        timestamp: logEntry.timestamp,
        durationMs: duration,
      }, { timeout: 5000 });
    }

    if (!finalPassed) {
      throw new Error(`Validation gates failed. Accuracy: ${metrics.accuracy}, Latency: ${metrics.latencyP95Ms}ms, Regression: ${regressionResults.filter(r => !r.passed).length} failures.`);
    }

    return { success: true, metrics, regressionResults };
  } catch (error) {
    const duration = Date.now() - startTime;
    const logEntry: AuditLog = {
      timestamp: new Date().toISOString(),
      action: 'VALIDATION_ERROR',
      snapshotId: payload.snapshotId,
      promotionId,
      status: 'ERROR',
      durationMs: duration,
    };
    auditLogs.push(logEntry);
    throw error;
  }
};

Complete Working Example

The following script combines authentication, validation, promotion execution, gate checking, and audit logging into a single runnable module.

import { CognigyClient } from './auth';
import { PromotionPayload, PromotionPayloadSchema } from './schema';
import { validateSnapshotConstraints } from './constraints';
import { executeAtomicPromotion } from './promotion';
import { runValidationGatesAndSync } from './validation';
import { AuditLog } from './validation';

async function main() {
  const auditLogs: AuditLog[] = [];

  const promotePayload: PromotionPayload = {
    snapshotId: 'a1b2c3d4-e5f6-7890-abcd-ef1234567890',
    targetEnvironments: ['staging', 'production'],
    validationGates: {
      requirePerformanceMetrics: true,
      requireRegressionTests: true,
      minAccuracyThreshold: 0.88,
      maxLatencyMs: 250,
    },
    rollbackOnFailure: true,
    metadata: {
      releaseVersion: 'v2.4.1',
      approvedBy: 'release-manager-bot',
    },
  };

  try {
    console.log('Step 1: Validating snapshot constraints...');
    const snapshot = await validateSnapshotConstraints(promotePayload.snapshotId);
    console.log(`Snapshot ${snapshot.id} validated. Status: ${snapshot.status}`);

    console.log('Step 2: Executing atomic promotion...');
    const promotion = await executeAtomicPromotion(promotePayload);
    console.log(`Promotion initiated. ID: ${promotion.promotionId}, Status: ${promotion.status}`);

    console.log('Step 3: Running validation gates and synchronizing webhooks...');
    const validationResult = await runValidationGatesAndSync(promotion.promotionId, promotePayload, auditLogs);
    console.log('Validation complete.', validationResult);

    console.log('Promotion workflow finished successfully.');
    console.log('Audit Log Summary:', JSON.stringify(auditLogs, null, 2));
  } catch (error) {
    console.error('Promotion workflow failed:', error instanceof Error ? error.message : String(error));
    console.error('Audit Logs:', JSON.stringify(auditLogs, null, 2));
    process.exit(1);
  }
}

main();

Common Errors & Debugging

Error: 409 Conflict

• What causes it: Another promotion operation is currently locking the snapshot, or the target environment is undergoing a deployment.
• How to fix it: Verify the snapshot status via GET /api/v1/snapshots/{id}. Wait for the status field to return to READY or IDLE. Implement exponential backoff in your orchestrator.
• Code showing the fix:

const handleConflict = async (snapshotId: string, maxRetries = 5): Promise<void> => {
  for (let i = 0; i < maxRetries; i++) {
    await new Promise(resolve => setTimeout(resolve, 2000 * (i + 1)));
    const res = await CognigyClient.get(`/snapshots/${snapshotId}`);
    if (res.data.status === 'READY') return;
  }
  throw new Error('Snapshot lock not released after retry limit.');
};

Error: 429 Too Many Requests

• What causes it: Exceeding Cognigy.AI API rate limits, typically 100 requests per minute per token.
• How to fix it: The provided axios interceptor automatically retries with Retry-After header parsing. Ensure your pipeline batches promotion checks and does not poll synchronously.
• Code showing the fix: The interceptor in the Authentication Setup section handles this natively. Verify Retry-After compliance in your network traces.

Error: 400 Bad Request (Schema Validation)

• What causes it: Payload structure mismatch, invalid UUID format, or environment target matrix containing non-existent environments.
• How to fix it: Validate the environment list against GET /api/v1/environments before promotion. Ensure targetEnvironments array matches exact environment slugs.
• Code showing the fix:

const verifyEnvironments = async (targets: string[]): Promise<boolean> => {
  const res = await CognigyClient.get<{ id: string; slug: string }[]>('/environments');
  const validSlugs = res.data.map(e => e.slug);
  return targets.every(t => validSlugs.includes(t));
};

Official References

• Cognigy.AI API Documentation v1
• Snapshots and Promotions Endpoint Reference
• AI Model Analytics and Performance Metrics
• Regression Testing Pipeline API
• Webhook Integration Guide