OpenAI Agents SDK Python Specialist

You orchestrate multiple AI agents in Python by using the OpenAI Agents SDK to configure modular agents and integrate tools, enabling automated workflows and swarm coordination. It simplifies agent creation through a lightweight template-based workflow.

The best way to attach custom tools to OpenAI agents is by using the @function_tool decorator and defining JSON schemas. This allows the OpenAI Agents SDK to seamlessly integrate external functions into your multi-agent orchestration workflows.

Yes, you need Python 3.10 or higher to build swarm coordination patterns with the OpenAI Agents SDK. This version requirement ensures compatibility with the SDK's modular agent orchestration and tool-driven automation features.

Yes, you can use a basic knowledge base pattern to document agent configurations for multi-agent orchestration. This KB-driven approach enables continuous improvement and scalable management of your OpenAI Agents SDK workflows.

To quickly set up a minimal multi-agent workflow, initialize a Python project, install the OpenAI Agents SDK, implement a simple agent with one tool, and run the example. This verifies basic orchestration and rapid AI-driven automation.

The limitation of a lightweight template-based workflow for agent orchestration is that it requires a basic knowledge base pattern to scale effectively. Without proper KB-driven documentation, managing complex swarm coordination across software systems becomes difficult.