ChatGPT API with Python 🔥 Beginner to Intermediate | Structured JSON, Tokens & Pricing Explained

🚀 Welcome to Dev Knot! 🚀 Learn how to use the ChatGPT API with Python from BEGINNER to INTERMEDIATE level! In this video, I explain the complete process of integrating the OpenAI API into a Python application with practical examples. We don't stop with just making a basic API call. We gradually move into real application concepts such as instructions, conversation context, structured JSON output, token calculation, API pricing and credits. Github Link : https://github.com/pradeepmangadu/my-... 🔥 What you'll learn: ✅ What is the ChatGPT / OpenAI API? ✅ ChatGPT vs API – What's the difference? ✅ How to create an OpenAI API key ✅ How to add API credits ✅ Understanding OpenAI API pricing ✅ What are Input & Output Tokens? ✅ How token usage is calculated ✅ Setting up OpenAI SDK with Python ✅ Making your first API request ✅ Using Instructions & Input ✅ Maintaining conversation context ✅ Understanding reasoning effort ✅ Returning Structured JSON Output ✅ Using Pydantic for structured responses ✅ Accessing structured response fields in Python ✅ Practical AI Job Analyzer example ✅ Beginner → Intermediate API concepts 💡 PRACTICAL DEMO We also build a simple AI Job Analyzer where the OpenAI API analyzes: Job Requirements ↓ Candidate Skills ↓ ChatGPT API ↓ Structured JSON ↓ Match Score Matched Skills Missing Skills Recommendation This demonstrates why structured AI responses are extremely useful when building real applications, APIs, AI agents and MCP servers. 💰 I also explain how OpenAI API credits, pricing and tokens work so you can understand how much your API calls actually cost. This tutorial is useful for: • Python developers • Java / Full Stack developers exploring AI • Beginners learning Generative AI • Developers building AI applications • MCP developers • Students learning OpenAI APIs • Anyone interested in integrating ChatGPT into their own applications 🚀 This concept can later be integrated into our AI Job Search MCP project to analyze jobs and store structured results in Supabase. Subscribe to Dev Knot for practical AI, MCP, API and developer tutorials. #chatgpt #openai #chatgptapi #openaiapi #python #pythonai #generativeai #aitutorial #structuredoutput #json #mcp #devknot chatgpt api tutorial chatgpt api python chatgpt api tutorial tamil openai api tutorial openai api python chatgpt python tutorial chatgpt api for beginners openai api for beginners chatgpt api integration python openai api chatgpt structured output openai structured output structured json openai pydantic openai chatgpt json response openai responses api chatgpt tokens explained openai tokens explained chatgpt api pricing openai api pricing chatgpt api credits how to add openai credits chatgpt api key openai api key ai api tutorial generative ai tutorial ai development python ai project ai job analyzer mcp server chatgpt mcp dev knot