OpenAI Responses API: Beginner's Tutorial in 14 Minutes

Overview

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This beginner-friendly tutorial guides you through implementing OpenAI's Responses API, which is replacing the Chat Completions API for AI applications. Learn why this update matters for developers and how to integrate it into your projects in just 14 minutes. Master creating basic chatbots with Python, adding image analysis capabilities, implementing built-in tools like web search, developing custom tools, and setting up streaming responses for better user engagement. The tutorial covers everything from basic implementation to advanced features including file search for RAG (Retrieval Augmented Generation), computer automation, and future Code Interpreter support. All code examples are provided, with clear explanations of the differences between the old and new APIs. Additional topics include creating user interfaces with Gradio, building custom weather tools, and running capabilities locally using LM Studio for private execution without API keys.

Syllabus

0:00 - Introduction to OpenAI Responses API
0:25 - Why Responses API is important
0:53 - Overview of tutorial structure
1:26 - Mention of Nvidia GTC conference
1:58 - Difference between Chat Completions and Responses API
2:25 - Tutorial roadmap
2:42 - Basic chatbot setup
3:32 - Creating a simple chatbot with code
4:53 - Setting up user interface with Gradio
6:12 - Image analysis capabilities
7:04 - Using built-in tools web search, file search
7:56 - File search and vector database setup
9:23 - Creating custom tools
9:50 - Building a weather tool example
12:30 - Streaming responses for faster feedback
13:12 - Using LM Studio locally