API Reference

Welcome to the AI Toolkit API Reference! 🧠
This document provides detailed information about the available endpoints, authentication methods, and usage examples for the AI Toolkit.

Overview

The AI Toolkit offers a suite of tools for developers to integrate AI capabilities into their applications. 🚀

• Endpoints: RESTful APIs for model inference, data processing, and more
• Authentication: API keys and OAuth 2.0 support
• Documentation: Full details available at /ai_toolkit/en/api_reference

Endpoints

Here are the core endpoints:

1. /predict - Model inference endpoint
   • Accepts: POST with JSON payload
   • Example:

     curl -X POST https://api.example.com/ai_toolkit/en/predict \
     -H "Authorization: Bearer YOUR_API_KEY" \
     -H "Content-Type: application/json" \
     -d '{"input": "example text"}'
     

2. /train - Model training endpoint
   • Requires: OAuth 2.0 authentication
   • Status: Experimental (beta)

Authentication

To use the API, you need:

• API Key: Obtain from /ai_toolkit/en/authentication
• OAuth 2.0: For advanced access control

🔐 Note: Always secure your credentials and use HTTPS.

Examples

Check out these code examples:

• Python:

  import requests  
  response = requests.get("https://api.example.com/ai_toolkit/en/api_reference", headers={"Authorization": "Bearer YOUR_API_KEY"})  
  

• JavaScript:

  fetch("https://api.example.com/ai_toolkit/en/api_reference", { headers: { "Authorization": "Bearer YOUR_API_KEY" } })  
  

📖 For more details, visit the Getting Started Guide.

Support

Need help? Reach out to our team via /ai_toolkit/en/support for assistance. 📧