Ready to take your AI projects to the next level? In this *step-by-step tutorial*, you'll learn how to *build AI agents* using *OpenAI's latest tools*—including *Web Search*, *File Search*, and the brand new *Computer-Use-Preview* capability for *Computer Control*—all integrated seamlessly in *Python*. We'll walk you through creating *multi-agent workflows*, automating code reviews, generating documentation, and more. Along the way, you'll discover practical tips for *fine-tuning large language models (LLMs)*, orchestrating *agentic behavior*, and applying best practices for AI development. *Jupyter Notebook Used in this tutorial*: 🔗 https://tinyurl.com/nhk6rfzc Whether you're a *Python developer*, data scientist, or AI enthusiast, this tutorial will give you hands-on experience with OpenAI's *Agents SDK* and *Responses API*, so you can create smart assistants capable of real-time online research, file retrieval and system operations. By the end, you'll have a working AI agent that not only analyzes and improves code, but also *automates* routine tasks—no advanced math or data science degree needed. *Key topics covered include*: - Integrating *OpenAI* models with *Web Search* - Harnessing *File Search* for quick access to code and documents - Enabling AI-driven *Computer Control* with the cutting-edge *computer-use-preview* model - Building *multi-agent* pipelines for *code reviews* and *PDF documentation* - Practical setup and configuration in *Python* for seamless AI workflows If you're looking for a fun, hands-on way to explore the *future of AI-powered development*, this is the tutorial for you. Hit *Subscribe* and let's dive in! *Join this channel to get access to the perks*: https://www.youtube.com/channel/UCs0yNnMKVLCN27tWmGvKYAw/join ------------------------------------------------------------------------------------------------------------- *TIMESTAMPS:* 00:00 Intro 00:35 Introduction 01:29 Response API 02:14 Analyzing Images 02:39 Web Search Tool 03:09 File Search 04:33 Computer Use Capability 07:06 Streaming Responses 08:57 OpenAI Agent SDK 09:24 Building the Code Review System 10:23 Testing the system 11:10 My Final Thoughts ------------------------------------------------------------------------------------------------------------- ⚙️ *Github Project for you to follow along in this tutorial:* 1. *Github Repository:* 🔗 https://tinyurl.com/nhk6rfzc ⚙️ *Related YouTube Tutorials:* 1. *AI Research Assistant Series* 🔗 https://tinyurl.com/yshs75je ------------------------------------------------------------------------------------------------------------- ⚡️ *Social Media:* 🔗 *Twitter:* https://x.com/atef_ataya 🔗 *Github:* https://github.com/atef-ataya 🔗 *Medium:* https://medium.com/@atef.ataya ⚙️ *Links:* 🔗 *OpenAI:* https://openai.com/ 🔗 *OpenAI Response API:* https://platform.openai.com/docs/quickstart?api-mode=responses ------------------------------------------------------------------------------------------------------------- #openai #AIAgents #MachineLearning #AITutorial #GPT4 #WebSearchAPI #PythonAI #ComputerControlAI #AIAutomation #GenerativeAI #AITools #OpenAIAgents #AIAssistant #AIWorkflow #AIFuture #LLMProgramming #MultiAgentAI #CodeReviewAI #AIDocumentation #OpenAIResponsesAPI

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