OpenAI Agents SDK : A Hands-On Guide to Building Autonomous Agents with OpenAI's Language Models
OpenAI Agents SDK : A Hands-On Guide to Building Autonomous Agents with OpenAI's Language Models by Morgan Devline
English | March 30, 2025 | ISBN: N/A | ASIN: B0F32LBVB6 | 448 pages | EPUB | 1.55 Mb
English | March 30, 2025 | ISBN: N/A | ASIN: B0F32LBVB6 | 448 pages | EPUB | 1.55 Mb
Ready to build real-world, intelligent, and fully autonomous AI agents?
This book is your practical roadmap to mastering the OpenAI Agents SDK—the most powerful toolset for developers working with GPT-4, function calling, and AI agent workflows.
Whether you're a machine learning engineer, automation developer, or AI hobbyist, this guide will teach you how to go from basic API calls to designing multi-step, tool-enabled, and context-aware autonomous agents using OpenAI’s latest SDK.
What You’ll Learn
- How to build AI agents using the OpenAI Agents SDK with step-by-step examples.
- How to use OpenAI function calling, memory, and tools to create truly useful agents.
- Architecting autonomous AI systems with robust workflows and intelligent decision-making.
- Integrating with LangGraph, n8n automation, external APIs, databases, and productivity tools.
- Fine-tuning prompts, handling agent memory, managing token costs, and scaling to production.
- Connecting LLM agents with OpenAI Gym-style environments for simulated intelligence tasks.
- Best practices for designing autonomous AI, including ethical and secure deployment.
Technologies Covered
- OpenAI Agents SDK
- GPT-4 / GPT-4 Turbo / GPT-4o
- OpenAI API & SDK
- LangGraph
- OpenAI function calling
- OpenAI tools and memory
- RAG (Retrieval-Augmented Generation)
- n8n workflows
- Agent orchestration and workflow design
- LLM agents in real-world systems
- AI Developers and LLM Engineers
- Automation Builders using n8n or LangGraph
- Technical Founders & Product Builders
- Machine Learning Engineers & MLOps Practitioners
- Anyone looking to build hands-on, intelligent agents with OpenAI SDK
Unlike theory-heavy books, this guide is fully hands-on, project-based, and focused on real-world implementation. You’ll build actual agents—from customer support bots and workflow automators to research assistants and multi-agent systems—all powered by the latest OpenAI capabilities.