openai/openai-agents-python

What it solves

It provides a lightweight framework for building multi-agent workflows, allowing developers to create complex AI systems where multiple specialized agents can collaborate, hand off tasks to one another, and interact with various tools and environments.

How it works

The SDK uses a provider-agnostic approach that supports OpenAI's APIs as well as over 100 other LLMs. It organizes AI behavior into several agent types:

• Text Agents: Standard LLM-based assistants for non-persistent workflows.
• Sandbox Agents: Agents that operate within a container to manage files, run commands, and maintain state over long periods.
• Realtime Agents: Low-latency voice and multimodal agents using WebSockets.
• Voice Agents: Pipelines that integrate speech-to-text, agent logic, and text-to-speech.

It manages complexity through built-in features like handoffs (delegating tasks between agents), guardrails (input/output validation), sessions (automatic history management), and tracing (debugging and optimization tools).

Who it’s for

Developers building AI applications that require multi-agent orchestration, voice-enabled interfaces, or agents capable of performing technical tasks in a sandboxed environment.

Highlights

• Provider Agnostic: Works with OpenAI and 100+ other LLMs.
• Multi-Agent Orchestration: Built-in support for agent handoffs and agents-as-tools.
• Diverse Modalities: Supports text, real-time voice, and multimodal interactions.
• Sandboxed Execution: Ability to inspect files and run commands in isolated environments.
• Human-in-the-loop: Integrated mechanisms for human intervention during agent runs.