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openai/openai-agents-python

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TLDR

Python toolkit for building AI systems where multiple AI agents work together, use tools, and hand off tasks to each other automatically.

Mindmap

mindmap
  root((repo))
    What it does
      Multi-agent orchestration
      Tool use and APIs
      Task handoff automation
    Key features
      Safety guardrails
      Conversation memory
      Voice agents
      Sandbox execution
    Use cases
      Customer support routing
      Coding assistants
      Autonomous workflows
    Tech stack
      Python
      OpenAI models
      100+ AI providers
    Getting started
      Well documented
      Free to use
      Official OpenAI SDK

Things people build with this

USE CASE 1

Build a customer support system where different AI agents handle refunds, technical issues, and route conversations automatically.

USE CASE 2

Create a coding assistant that answers questions, runs code, inspects files, and takes actions on your computer.

USE CASE 3

Set up autonomous workflows where AI agents collaborate, hand off tasks, and use external APIs to complete multi-step processes.

USE CASE 4

Deploy voice-based AI agents that can listen, understand, and respond to spoken requests with tool integration.

Tech stack

PythonOpenAI APILLM providers

Getting it running

Difficulty · moderate Time to first run · 30min

Requires OpenAI API key and valid credentials to run agent examples.

Use freely for any purpose, including commercial use, as long as you comply with OpenAI's terms of service.

In plain English

OpenAI's Agents SDK is a Python toolkit for building "multi-agent" AI systems, meaning products where multiple AI helpers work together, hand off tasks to each other, and use external tools to get things done. Think of it as a framework for orchestrating teams of AI workers rather than having a single chatbot do everything. In practical terms, you could use this to build a customer support system where one AI agent handles refund questions, another handles technical support, and a coordinator routes conversations between them automatically. Or a coding assistant that can not only answer questions but also run code, inspect files, and take real actions on your computer. Key capabilities include: agents that can use tools (like searching the web, calling APIs, or running code), safety guardrails that filter bad inputs or outputs, automatic conversation memory across sessions, voice agents for spoken interaction, and built-in tracing so you can see exactly what each agent did and debug problems. A newer "Sandbox Agent" feature lets an AI work inside a contained computer environment, useful for tasks that require actually running code or modifying files. It works with OpenAI's own models but also supports 100+ other AI providers, so you are not locked in. It is the official SDK made by OpenAI themselves, which means it stays current with their newest model features. For a vibe coder or non-technical founder: if you are building an AI-powered product in Cursor or with any Python backend, this library handles the complex plumbing of getting multiple AI steps to work together reliably. It is well-documented, free to use, and backed by OpenAI directly.

Copy-paste prompts

Prompt 1
Show me how to create two AI agents in this SDK that can hand off a customer support ticket between them based on the issue type.
Prompt 2
How do I set up a Sandbox Agent in this library to safely run and modify code files without risking my system?
Prompt 3
Give me a working example of an agent that uses tools to search the web and summarize results, using this SDK.
Prompt 4
How do I add safety guardrails to filter harmful inputs or outputs in an agent I'm building with this toolkit?
Prompt 5
Show me how to trace and debug what an agent is doing step-by-step using the built-in tracing features.
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