@tekimax/tekimax-sdk

Proof of human vs. AI authorship. Our Human-Adaptive Engine ensures AI augments your judgment while preserving agency, creativity, and verifiable provenance.

With cryptographic provenance, Human Agency Scores, and Human-in-the-Loop (HITL) workflows, you can prove who made decisions. Built for NIST AI RMF compliance from the ground up.

📦 Installation

Install the package via npm, pnpm, or yarn:

npm install @tekimax/tekimax-sdk

pnpm add @tekimax/tekimax-sdk

yarn add @tekimax/tekimax-sdk

🚀 Quick Start

Initialize the client with your API key and base URL.

import { client, getMetricsDashboard } from '@tekimax/tekimax-sdk';

// 1. Configure the Client
client.setConfig({
  baseUrl: 'https://api.tekimax.com', 
  headers: {
    'Authorization': 'Bearer YOUR_API_KEY'
  }
});

// 2. Use SDK Methods
async function fetchDashboard() {
  try {
    const { data, error } = await getMetricsDashboard();
    
    if (error) {
      console.error('Error fetching dashboard:', error);
      return;
    }

    console.log('Dashboard Data:', data);
  } catch (err) {
    console.error('Unexpected error:', err);
  }
}

fetchDashboard();

✨ Features

• Fully Typed: Built with TypeScript for best-in-class developer experience.
• Adaptive: Automatically generated from the latest TEKIMAX OpenAPI specification.
• Lightweight: Minimal dependencies, optimized for browser and server environments.
• Secure: Internal and sensitive endpoints are stripped from the public SDK.

🗺️ SDK Roadmap

We are continuously improving the TEKIMAX SDK. Here are the top 5 upcoming features:

1. Isomorphic Support: Enhanced compatibility for Edge Runtimes (Cloudflare Workers, Vercel Edge).
2. Automatic Retries: Built-in exponential backoff for transient network errors.
3. Middleware Hooks: Support for request/response interceptors for logging and monitoring.
4. Streaming Support: Native handling of Server-Sent Events (SSE) for real-time telemetry.
5. Zod Schema Exports: Optional export of Zod schemas for runtime validation of SDK types.

📄 License

This project is licensed under the MIT License.