by shahidali54 · Agent Tool · ★ 52
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OpenAI Agents SDK Learning Guide This repository provides a beginner-friendly guide to learning the OpenAI Agents SDK, a Python library for building intelligent AI agents powered by large language models (LLMs) like GPT-4o. Whether you have zero coding experience or are new to AI, this guide walks you through creating and running agents step by step with detailed explanations and code examples. Table of Contents What is the OpenAI Agents SDK? Prerequisites Setup Instructions Code Examples Simple Agent Running an Agent Conversational Agent Handoffs Guardrails Dynamic Instructions Cloning Agents Tracing Customer Support System How to Run the Examples Best Practices Resources License What is the OpenAI Agents SDK? The OpenAI Agents SDK allows you to create AI agents that can: Follow instructions to perform tasks (e.g., answer questions in haiku). Use tools (e.g., a weather API or calculator). Delegate tasks to other agents (handoffs). Validate inputs/outputs with guardrails. Debug workflows using tracing. This repository includes code examples to help you learn h
| Stars | 52 |
| Forks | 51 |
| Language | Jupyter Notebook |
| Category | Agent Tool |
| Quality Score | 57.775187819606/100 |
| Last Updated | 2025-11-08 |
| Created | 2025-06-04 |
| Est. Tokens | ~652k |
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OpenAI-Agents-SDK is Learning OpenAI Agents SDK. It is categorized as a Agent Tool with 52 GitHub stars.
OpenAI-Agents-SDK is primarily written in Jupyter Notebook.
You can find installation instructions and usage details in the OpenAI-Agents-SDK GitHub repository at github.com/shahidali54/OpenAI-Agents-SDK. The project has 52 stars and 51 forks, indicating an active community.