How to Build a Chatbot Using OpenAI API and Fast API ?

How to Build a Chatbot Using OpenAI API and Fast API (Step-by-Step Guide) AI chatbots are everywhere today — from customer support tools to coding assistants. In this tutorial, I’ll show you how to build your own AI chatbot backend using FastAPI and the OpenAI API. By the end of this article, you’ll have: ✅ A working chatbot API ✅ Clean FastAPI project structure ✅ Swagger documentation ✅ Production-ready foundation Let’s build it 🔥 🧠 What We’re Building We’ll create a backend system like this: User → FastAPI → OpenAI API → FastAPI → User The user sends a message to our API, our backend sends it to OpenAI’s model, and the AI response is returned as JSON. 🛠️ Tech Stack Python FastAPI Uvicorn OpenAI Python SDK dotenv We’ll use the API from OpenAI to generate AI responses. 📦 Step 1: Install Dependencies Create a virtual environment and install the required packages: pip install fastapi uvicorn openai python-dotenv 🔑 Step 2: Get Your OpenAI API Key Create an account on OpenAI Generate an AP