scaffolding-openai-agents

You build async multi-agent systems by defining agents with the OpenAI Agents SDK, using native async and await patterns, function tools, and Runner-based execution to enable reliable streaming and tool calling automation.

Agent handoffs route requests to specialist agents within multi-agent applications, allowing a primary agent to transfer execution context to another agent that is better suited to handle a specific task or domain.

Yes, you can add synchronous or asynchronous function tools to AI agents for tasks like calculations, lookups, and external data fetching, integrating them through the SDK's tool calling capabilities.

Input and output guardrails are safety mechanisms applied during agent execution to validate content, ensuring reliability and preventing unauthorized or unsafe responses before streaming answers back to the user.

Yes, the OpenAI Agents SDK supports streaming responses for real-time output and tracing for debugging, allowing you to monitor agent execution, tool calls, and handoffs throughout the workflow.

Agent-as-tool orchestration composes specialist agents as callable tools within a primary agent's workflow, enabling complex multi-agent applications where agents can invoke other agents to complete specialized subtasks.