scaffolding-openai-agents

To scaffold multi-agent workflows with the OpenAI Agents SDK, use the Agent and Runner abstractions provided to automate async/await patterns and coordinate complex tutoring or task workflows.

The best way to orchestrate async AI agents for tool-calling workflows is by applying function tools, guardrails, and streaming responses to manage agent interactions and execute robust task automation.

You manage agent handoffs in multi-agent coordination by using the SDK's Runner patterns to route tasks between specialized agents, enabling complex debugging and tutoring workflows.

Yes, the OpenAI Agents SDK supports streaming responses for educational assistants, allowing developers to build interactive tutoring systems with real-time feedback and async orchestration.

Yes, you can use guardrails alongside function tools to validate agent outputs, ensuring that tool-calling workflows and multi-agent interactions remain robust and within defined safety boundaries.

Yes, you need async/await patterns to run OpenAI agents in automation contexts, as the scaffolding relies on asynchronous orchestration to handle concurrent tool-calling and streaming workflows efficiently.