scaffolding-openai-agents

What problem does it solve?

Build production-ready AI agents using the OpenAI Agents SDK with async/await patterns and multi-agent orchestration, reducing boilerplate and enabling robust agent workflows.

Core Features & Use Cases

• Agent class, Runner patterns, function tools, guardrails, and streaming responses.
• Multi-agent handoffs and tool-calling integrations to orchestrate specialists.
• Use cases include tutoring agents, complex task automation, and scalable AI-assisted workflows.

Quick Start

Project setup: create a new Python project, set up a virtual environment, and install the OpenAI Agents package. Then configure your API key and run a simple agent example.

• Create project workspace: mkdir my-agent && cd my-agent
• Create and activate a virtual environment: python -m venv .venv; source .venv/bin/activate
• Install the SDK: pip install openai-agents
• Set API key: export OPENAI_API_KEY=your-api-key
• Run a quick example: from agents import Agent, Runner tutor = Agent(name="Python Tutor", instructions="Teach Python concepts clearly.") result = Runner.run(tutor, "Explain list comprehensions") print(result.final_output)