npm install openai
pip install openai
composer require openai-php/client
const OpenAI = require('openai');
const client = new OpenAI({
  apiKey: process.env.CORE_API_KEY,
  baseURL: 'https://api.coreapi.com/v1'
});
async function chatExample() {
  try {
    const response = await client.chat.completions.create({
      model: 'gpt-4-turbo',
      messages: [
        { role: 'system', content: 'You are a helpful assistant.' },
        { role: 'user', content: 'Hello, how are you?' }
      ],
      temperature: 0.7,
      max_tokens: 150
    });
    
    console.log(response.choices[0].message.content);
  } catch (error) {
    console.error('Error:', error);
  }
}
chatExample();async function generateImage() {
  try {
    const response = await client.images.generate({
      model: 'dall-e-3',
      prompt: 'A serene mountain landscape at sunrise',
      size: '1024x1024',
      quality: 'standard',
      style: 'natural',
      n: 1
    });
    
    console.log('Generated image URL:', response.data[0].url);
  } catch (error) {
    console.error('Error:', error);
  }
}from openai import OpenAI
import os
client = OpenAI(
    api_key=os.getenv('CORE_API_KEY'),
    base_url='https://api.coreapi.com/v1'
)
def chat_example():
    try:
        response = client.chat.completions.create(
            model='gpt-4-turbo',
            messages=[
                {'role': 'system', 'content': 'You are a helpful assistant.'},
                {'role': 'user', 'content': 'Hello, how are you?'}
            ],
            temperature=0.7,
            max_tokens=150
        )
        
        print(response.choices[0].message.content)
    except Exception as e:
        print(f'Error: {e}')
chat_example()def streaming_chat():
    try:
        stream = client.chat.completions.create(
            model='gpt-4-turbo',
            messages=[
                {'role': 'user', 'content': 'Tell me a short story'}
            ],
            stream=True
        )
        
        for chunk in stream:
            if chunk.choices[0].delta.content is not None:
                print(chunk.choices[0].delta.content, end='')
                
    except Exception as e:
        print(f'Error: {e}')
streaming_chat()https://api.coreapi.com/v1Authorization: Bearer YOUR_API_KEYapplication/jsonMori API is an AI model aggregation platform that gives developers a single, unified API to access 50+ AI models across text, image, audio, and video — with transparent pricing, real‑time analytics, and enterprise‑grade reliability.