Building a Chatbot with OpenAI's Chat Models 🤖

The /v1/chat/completions endpoint is designed for conversational AI, using message history to generate context-aware responses. Instead of a single prompt, you send an array of messages with roles (system, user, assistant). Here's a Python example:

import requests
api_key = 'your-api-key'
headers = {
    'Authorization': f'Bearer {api_key}',
    'Content-Type': 'application/json'
}
messages = [
    {'role': 'system', 'content': 'You are a helpful assistant.'},
    {'role': 'user', 'content': 'What is the weather today?'}
]
data = {
    'model': 'gpt-4',
    'messages': messages,
    'max_tokens': 150,
    'temperature': 0.5
}
response = requests.post('https://api.openai.com/v1/chat/completions', headers=headers, json=data)
print(response.json()['choices'][0]['message']['content'])

This setup allows dynamic conversations, retaining context over multiple exchanges, essential for building sophisticated chatbots.