Take your GPT-5 agent live

- It's not enough to simply understand how to build an agent. To make real impact, you need to think about deployment. How does the agent actually show up in your world? Maybe it's running as a service in the cloud, powering part of your workflow. Maybe it's embedded into an app your team already uses, or maybe it's a background teammate that scales to handle hundreds of tasks while you focus on higher level decisions. Let me show you how easy it is to deploy your agent as an API using FastAPI. With just a few lines of code, you can turn your GPT-powered agent into a fully functional API. Here's how it works. This defines a post endpoint at the ask URL. Clients can send prompts to this route to interact with your agent. This is the asynchronous function that handles the incoming request. It expects a user prompt object, typically something simple and JSON like, prompt, what's the weather in Atlanta? This is the core logic. The runner.run method calls your GPT-5 agent trip_agent with…