AI Development
GPT API Integration: From API Key to Production-Ready Application
Practical guide to integrating OpenAI GPT-4 into your applications. Token optimization, error handling and best practices.
GPT-4OpenAIAPIIntegrationPythonLLMPrompt Engineering

GPT API Integration: The Practical Guide
The OpenAI API is the gateway to powerful AI capabilities in your applications. In this guide, I show you how to implement integration professionally and cost-consciously.
Getting Started with the OpenAI API
Create API Key
- Create account on platform.openai.com
- Generate API keys in dashboard
- Store securely (never in code!)
Python Setup
import openai
from dotenv import load_dotenv
import os
load_dotenv()
client = openai.OpenAI(api_key=os.getenv("OPENAI_API_KEY"))Token Optimization: Reduce Costs
Tokens are the basis of billing. Here's how to optimize:
- Prompt Engineering
- Response Limits
- Implement Caching
Conclusion
The GPT API offers enormous possibilities but requires careful planning. With the best practices presented here, you are equipped for production use.