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ChatGPT API Calls: A Gentle Introduction

Get your OpenAI API Calls Ready for any Project

7 min readAug 17, 2023

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Self-made image.

After quite some months of building ChatGPT-powered applications, I have realized that I always follow the same routine before starting a new project.

Any guesses?

👉 Right, it is not any fancy morning routine to boost my productivity, but it does have two steps:

  1. Setting a new OpenAI API key for the incoming project — I try to give each project its own key so that I can monitor how much I spend developing the projects, among other security concerns.
  2. Writing a standardized yet flexible method to call ChatGPT through the OpenAI API — I set up the ChatGPT call in a function at the beginning of the program so that the LLM usage is transparent to the application.

We already gave a shot at how to create an API key in the article A Step-by-Step Guide to Getting Your API Key, so in this article, I would like to share with you my preferred implementation to call ChatGPT from my Python applications.

I hope you find it handy too! Let’s dive deep!

Setting up the environment

First things first!

OpenAI Library

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We believe anyone can have the power of data. Curated stories on Data Science and Programming ✨. Any inquiry 👉🏻 databites.hi@gmail.com

Andrea Valenzuela
Andrea Valenzuela

Written by Andrea Valenzuela

AI Researcher 🚀 | Writing about Artificial Intelligence & Large Language Models 👩🏻‍💻 | Sharing tricks and experiences✨