A Python framework for building multi-agent workflows that supports orchestration, tool integration, guardrails, and handoffs across 100+ LLMs. It requires a Python coding environment and external API access to run inference.
Project overview
Provides a provider-agnostic approach to multi-agent orchestration with native support for handoffs, guardrails, tracing, and sandbox environments.
Project type
AI Agent · Workflow
Use cases
Coding & Development · Automation
Deployment
Refer to project documentation
License
MIT
Best for
Developers and AI engineers building multi-agent workflows who need provider-agnostic LLM support and programmatic orchestration in Python.
Key capabilities
Enables the construction of multi-agent workflows where agents are configured with specific instructions, tools, guardrails, and handoffs.
Allows delegating specific tasks to other agents.
Provides various tools that let agents take actions, including functions, MCP, and hosted tools.
Offers configurable safety checks for input and output validation.
Provides built-in mechanisms for involving humans across agent runs.
Handles automatic conversation history management across agent runs.
Features built-in tracking of agent runs to view, debug, and optimize workflows.
Includes agents preconfigured to work with a container to inspect files, run commands, apply patches, or preserve workspace state.
Limitations and risks
Python 3.10 or newer is required.
The UnixLocalSandboxClient is supported only on macOS and Linux; Windows requires the DockerSandboxClient.
Getting started
Create and activate a Python virtual environment, install the package via pip, set the OPENAI_API_KEY environment variable, and run a text agent example.
Alternatives and comparisons
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README: 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 API…
GitHub project description: A lightweight, powerful framework for multi-agent workflows
README: **[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 ot…
README: [**Tools**](https://openai.github.io/openai-agents-python/tools/): Various Tools let agents take actions (functions, MCP, hosted tools)
README: [**Guardrails**](https://openai.github.io/openai-agents-python/guardrails/): Configurable safety checks for input and output validation