Rax 4.5

import { RaxAI } from 'rax-ai';

const rax = new RaxAI({
  apiKey: process.env.RAX_API_KEY,
});

// Advanced code generation with context
const response = await rax.chat({
  model: 'rax-4.5',
  messages: [
    { 
      role: 'system', 
      content: 'You are an expert software architect. Provide detailed, production-ready code with explanations.' 
    },
    { 
      role: 'user', 
      content: `Create a rate limiter middleware for Express.js with:
        - Redis backend for distributed limiting
        - Configurable limits per endpoint
        - Sliding window algorithm
        - Proper error responses`
    }
  ],
  max_tokens: 2000,
  temperature: 0.3, // Lower temperature for precise code
});

console.log(response.message.content);

from rax_ai import RaxAI

client = RaxAI(api_key="your_api_key")

# Advanced data analysis task
response = client.chat(
    model="rax-4.5",
    messages=[
        {
            "role": "system",
            "content": "You are a senior data scientist. Provide thorough analysis with code."
        },
        {
            "role": "user",
            "content": """Analyze this sales data pattern and:
            1. Identify seasonal trends
            2. Suggest forecasting approach
            3. Provide Python code for the analysis
            
            Data: Monthly sales from 2020-2024 showing 
            peaks in Q4 and dips in Q1."""
        }
    ],
    max_tokens=2000,
    temperature=0.3
)

print(response.message.content)

curl -X POST https://ai.raxcore.dev/api/v1/chat \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "rax-4.5",
    "messages": [
      {
        "role": "system",
        "content": "You are an expert code reviewer. Analyze code thoroughly."
      },
      {
        "role": "user", 
        "content": "Review this function for security issues, performance, and best practices: [your code here]"
      }
    ],
    "max_tokens": 2000,
    "temperature": 0.3
  }'