OpenAI Agents SDK [](https://pypi.org/project/openai-agents/)

The OpenAI Agents SDK is a lightweight yet powerful framework for building multi-agent workflows. It is provider-agnostic, supporting the OpenAI Responses and Chat Completions APIs, as well as 100+ other LLMs.

!NOTE] Looking for the JavaScript/TypeScript version? Check out [Agents SDK JS/TS.

Core concepts:

1. 1.**Agents**: LLMs configured with instructions, tools, guardrails, and handoffs
2. 2.[Agents as tools](https://openai.github.io/openai-agents-python/tools/#agents-as-tools) / [Handoffs](https://openai.github.io/openai-agents-python/handoffs/): Delegating to other agents for specific tasks
3. 3.**Tools**: Various Tools let agents take actions (functions, MCP, hosted tools)
4. 4.**Guardrails**: Configurable safety checks for input and output validation
5. 5.**Human in the loop**: Built-in mechanisms for involving humans across agent runs
6. 6.**Sessions**: Automatic conversation history management across agent runs
7. 7.**Tracing**: Built-in tracking of agent runs, allowing you to view, debug and optimize your workflows
8. 8.**Realtime Agents**: Build powerful voice agents with gpt-realtime-1.5 and full agent features

Explore the examples directory to see the SDK in action, and read our documentation for more details.

Get started

To get started, set up your Python environment (Python 3.10 or newer required), and then install OpenAI Agents SDK package.

venv

python -m venv .venv
source .venv/bin/activate  # On Windows: .venv\Scripts\activate
pip install openai-agents

For voice support, install with the optional voice group: pip install 'openai-agents[voice]'. For Redis session support, install with the optional redis group: pip install 'openai-agents[redis]'.

uv

If you're familiar with uv, installing the package would be even easier:

uv init
uv add openai-agents

For voice support, install with the optional voice group: uv add 'openai-agents[voice]'. For Redis session support, install with the optional redis group: uv add 'openai-agents[redis]'.

Run your first agent

from agents import Agent, Runner

agent = Agent(name="Assistant", instructions="You are a helpful assistant")

result = Runner.run_sync(agent, "Write a haiku about recursion in programming.")
print(result.final_output)