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Editor’s note: Carl will lead an editorial roundtable on this topic at VB Transform next week. Register today.
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.
As first noticed by AI influencer and engineer Tibor Blaho (of the third-party ChatGPT browser extension AIPRM), OpenAI’s new Customer Service Agent was published earlier today on the AI code sharing community Hugging Face under a permissive MIT License, meaning any third-party developer or user can take the code, modify it, and deploy it for free for their own commercial or experimental purporses.
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.
This practical demonstration arrives just ahead of OpenAI’s upcoming presentation at VentureBeat Transform 2025 next week in San Francisco, June 24-25, where OpenAI’s Head of Platform Olivier Godement will go deeper into the enterprise-grade agent architecture powering use cases at companies like Stripe and Box.
Meet Olivier Godement, OpenAI Head of Product, Platform at VB Transform 2025
A blueprint for routing, guardrails, and specialized agents
Today’s 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.
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