Welcome to the AI Toolkit API integration guide! This document provides step-by-step instructions to help you seamlessly integrate our API into your applications. Let's get started:

📦 Step 1: Install Dependencies

Ensure you have the following dependencies installed:

  • Python 3.8+
  • requests library (Install via pip install requests)
pip install requests

🧩 Step 2: Initialize API Client

Import the SDK and configure your API key:

import requests

API_KEY = "your_api_key_here"
headers = {"Authorization": f"Bearer {API_KEY}"}

📡 Step 3: Make API Requests

Use the following endpoints to interact with the AI Toolkit:

📌 Step 4: Process Responses

Handle JSON responses for easy data parsing:

response = requests.get("https://api.ullrai.com/v1/models", headers=headers)
data = response.json()
print(data["models"])

📈 Example Workflow

Here's a quick example of how to use the API:

  1. Authenticate your account
  2. Fetch available models
  3. Deploy a model to your workspace
  4. Trigger inference requests

For more advanced usage, check out our API Reference Documentation. Need help with specific integrations? 🤔

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