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In this video, we take function calling to the next level — chaining multiple functions together in sequence. In our last video, we built single function calling with a validation gate. Today, OpenAI calls three functions automatically: create a product, update its price, then verify the change. Each step uses results from the previous one. 🎯 What You'll Learn: How function chaining works step by step The while loop that powers multi-step workflows Why tool_call_id is critical for chaining How the messages array grows with each iteration How OpenAI automatically passes IDs between functions 💻 Code Breakdown: ✓ Three real Python functions (create, update, get) ✓ Tool definitions as model contracts ✓ System prompt that teaches chaining ✓ The chaining loop with stop condition ✓ Complete conversation history at the end This is the exact pattern you need for real QA automation workflows — create test data, modify it, verify the change. 📂 GitHub: https://github.com/nextgenqaofficial/... 🔗 Resources: OpenAI Function Calling Docs: https://platform.openai.com/docs/guid... REST API used in video: https://restful-api.dev Chapters: 0:00 Introduction 0:52 Overview of Function Chaining 1:09 Environment Setup 2:15 Understanding Method Chaining 3:29 Flow Diagram Explanation 4:51 API Base URL and Functions 5:38 Defining Python Functions 7:06 Tool Definitions 8:39 User Request Setup 10:23 Chaining Loop Setup 12:01 Tool Call Details 15:00 Executing Functions 20:05 Adding Assistant Messages 24:39 Sending Results to OpenAI 30:09 Iteration and Verification 33:18 Complete Conversation History 34:14 Conclusion 💡 About NextGenQA: I'm Soumyansh, AVP and Senior QA Engineer with 13 years of experience. This channel is about AI-powered testing automation with practical, production-ready code. #OpenAI #FunctionCalling #PythonAutomation #QAAutomation #AITesting #TestAutomation #APITesting #SoftwareTesting #NextGenQA #AIIntegration #ProductionCode #RESTApi #PythonTutorial #QAEngineering #Chaining