Documentation

Complete guide to using Icestar.ai platform and understanding our technology stack.

Quick Start

Get up and running with Icestar.ai in minutes. Follow these simple steps to integrate our AI services into your application.

# Install the Icestar.ai SDK
pip install icestar-ai

# Initialize the client
from icestar import Client

client = Client(api_key="your-api-key")

# Make your first AI request
response = client.generate_text("Hello, world!")
print(response.text)

Technology Stack

Icestar.ai is built using cutting-edge technologies to ensure scalability, reliability, and performance. Here's our comprehensive tech stack:

Backend Infrastructure

L

Laravel 11

Modern PHP framework for robust web applications with elegant syntax and powerful features.

S

Laravel Sail

Lightweight command-line interface for interacting with Laravel's default Docker development environment.

D

Django

High-level Python web framework for rapid development and clean, pragmatic design.

AI & Machine Learning

LC

LangChain

Framework for developing applications powered by language models with composability and flexibility.

P

Pandas

Powerful data manipulation and analysis library for Python with data structures and operations.

T

TensorFlow

End-to-end open source platform for machine learning with comprehensive tools and libraries.

P

PyTorch

Deep learning framework that accelerates the path from research prototyping to production deployment.

S

Scikit-learn

Machine learning library for Python with simple and efficient tools for data mining and analysis.

N

NumPy

Fundamental package for scientific computing with Python, providing array objects and routines.

Database & Storage

M

MySQL

Relational database management system for storing structured data with high performance.

R

Redis

In-memory data structure store used as database, cache, and message broker.

E

Elasticsearch

Distributed search and analytics engine for real-time data processing and search.

Frontend & UI

R

React

JavaScript library for building user interfaces with component-based architecture.

T

Tailwind CSS

Utility-first CSS framework for rapidly building custom user interfaces.

V

Vite

Next generation frontend tooling with fast hot module replacement and build optimization.

API Reference

Authentication

All API requests require authentication using your API key. Include it in the Authorization header.

curl -H "Authorization: Bearer your-api-key" \
     -H "Content-Type: application/json" \
     https://api.icestar.ai/v1/generate

Text Generation

Generate human-like text using our advanced language models.

POST /v1/generate
{
  "prompt": "Explain quantum computing",
  "max_tokens": 150,
  "temperature": 0.7
}

Code Examples

Python Example

import requests

def generate_text(prompt, api_key):
    url = "https://api.icestar.ai/v1/generate"
    headers = {
        "Authorization": f"Bearer {api_key}",
        "Content-Type": "application/json"
    }
    data = {
        "prompt": prompt,
        "max_tokens": 100
    }
    
    response = requests.post(url, headers=headers, json=data)
    return response.json()

# Usage
result = generate_text("Hello, world!", "your-api-key")
print(result["text"])

JavaScript Example

async function generateText(prompt, apiKey) {
    const response = await fetch('https://api.icestar.ai/v1/generate', {
        method: 'POST',
        headers: {
            'Authorization': `Bearer ${apiKey}`,
            'Content-Type': 'application/json'
        },
        body: JSON.stringify({
            prompt: prompt,
            max_tokens: 100
        })
    });
    
    const data = await response.json();
    return data.text;
}

// Usage
generateText("Hello, world!", "your-api-key")
    .then(text => console.log(text));

Deployment

Docker Deployment

Deploy Icestar.ai using Docker for easy containerization and scaling.

# Dockerfile
FROM python:3.11-slim

WORKDIR /app
COPY requirements.txt .
RUN pip install -r requirements.txt

COPY . .
EXPOSE 8000

CMD ["python", "manage.py", "runserver", "0.0.0.0:8000"]

Environment Variables

# .env
DATABASE_URL=mysql://user:password@localhost:3306/icestar
REDIS_URL=redis://localhost:6379
OPENAI_API_KEY=your-openai-key
SECRET_KEY=your-secret-key