Build a customer support system where different AI agents handle refunds, technical issues, and route conversations automatically.
Create a coding assistant that answers questions, runs code, inspects files, and takes actions on your computer.
Set up autonomous workflows where AI agents collaborate, hand off tasks, and use external APIs to complete multi-step processes.
Deploy voice-based AI agents that can listen, understand, and respond to spoken requests with tool integration.
Requires OpenAI API key and valid credentials to run agent examples.
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.
Generated 2026-05-18 · Model: sonnet-4-6 · Verify against the repo before relying on details.