OpenAI has released a new open-source demo that gives developers a hands-on look at how to build intelligent, workflow-aware AI agents using the Agents SDK. This agent example demonstrates how to route airline-related requests between specialized agents — like Seat Booking, Flight Status, Cancellation, and FAQ — while enforcing safety and relevance guardrails. The release is designed to help teams go beyond theoretical use and start operationalizing agents with confidence. The release includes both a Python backend and a Next.js frontend. The backend leverages the OpenAI Agents SDK to orchestrate interactions between specialized agents, while the frontend visualizes these interactions in a chat interface, showing how decisions and handoffs unfold in real time. Importantly, the demo also shows how guardrails function in production: a Relevance Guardrail blocks out-of-scope queries like asking for poetry, while a Jailbreak Guardrail prevents prompt injection attempts, such as requests to expose system instructions. The architecture mirrors real-world airline support flows, showing how organizations can build domain-focused assistants that are responsive, compliant, and aligned with user expectations. OpenAI released the code under the MIT license and encouraged teams to customize and adapt it for their own needs. By offering transparent tooling and clear implementation examples, OpenAI is pushing agentic systems out of the lab and into everyday use—whether in customer service, operations, or internal governance. For organizations exploring intelligent automation, these resources provide not just inspiration, but a working playbook.