openai-agents-python
A lightweight, powerful framework for multi-agent workflows
The OpenAI Agents SDK for Python is a provider-agnostic framework for building sophisticated multi-agent AI workflows that supports OpenAI's APIs and over 100 other language models. It enables developers to create text-based, sandbox, realtime, and voice agents with built-in features like tool calling, agent-to-agent handoffs, guardrails, and human-in-the-loop mechanisms. The framework handles conversation history automatically, provides comprehensive tracing for debugging, and supports integration with the Model Context Protocol (MCP) for enhanced agent capabilities. Designed for Python 3.10+, it offers a lightweight yet powerful foundation for orchestrating complex agent interactions across diverse use cases.
Key Features
Use Cases
- 01Building conversational AI assistants that delegate specialized tasks to multiple expert agents
- 02Creating voice-enabled applications with low-latency realtime audio processing and response generation
- 03Developing code analysis and repository inspection agents using sandbox environments
- 04Implementing multi-step workflows with guardrails and human approval checkpoints
- 05Orchestrating complex research or data analysis pipelines across multiple AI models
- 06Building voice pipelines that combine speech-to-text, agent reasoning, and text-to-speech
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openai-agents-python — FAQ
What is the OpenAI Agents SDK for Python?+
It's a lightweight framework for building multi-agent AI workflows that supports text, sandbox, realtime, and voice agents. The SDK is provider-agnostic, working with OpenAI's APIs and over 100 other language models, and includes features like MCP tool integration, agent handoffs, guardrails, and session management.
How do I install the openai-agents-python framework?+
Install it via pip with 'pip install openai-agents' after activating a Python 3.10+ environment, or use 'uv add openai-agents' if using uv. For voice support, install with 'pip install openai-agents[voice]', and for Redis session management, use 'pip install openai-agents[redis]'.
Do I need an OpenAI API key to use this SDK?+
You need to set the OPENAI_API_KEY environment variable if using OpenAI models. However, the SDK is provider-agnostic and supports 100+ other LLMs, so you can configure it to work with alternative providers as well.
Which AI clients and platforms does the Agents SDK work with?+
This is a standalone Python framework for building custom agent applications, not a plugin for existing AI clients. You build and run your own agent workflows programmatically using the SDK's Python API.
Is the OpenAI Agents SDK free to use?+
Yes, the SDK itself is free and open-source. However, you'll incur costs from your chosen LLM provider (OpenAI or others) based on their API usage pricing.
Can I use sandbox agents on Windows?+
The UnixLocalSandboxClient shown in examples works on macOS and Linux only. On Windows, you must use DockerSandboxClient with the 'openai-agents[docker]' extra or configure a hosted sandbox client instead.
How do I install openai-agents-python?+
Open the source repository on GitHub and follow its README. openai-agents-python is a agent — MCP Agents Market links you directly to the official repo.
Is openai-agents-python free?+
openai-agents-python is an open-source project hosted on GitHub. Check the repository for its license and any usage requirements.