Build with OpenAI Agents API on Vercel

Vercel now supports building and deploying long-running, tool-using agents with the OpenAI Agents API, with OpenAI managing the agent loop and session state while Vercel hosts the application and connects each session to Vercel Sandbox for code execution and file access. The integration provides reliable Sandbox creation and reconnection through signed OpenAI webhooks and Vercel Queues, an isolated execution environment per agent session, a persistent workspace that retains files across follow-up instructions, and a scale-to-zero architecture without an always-on worker. Vercel published a step-by-step guide and a sample application on GitHub for building and deploying an agent.

You can now build and deploy long-running, tool-using agents with the OpenAI Agents API https://developers.openai.com/api/docs/guides/agents-api/overview on Vercel. OpenAI manages the agent loop and session state, while Vercel hosts the application and connects each session to Vercel Sandbox https://vercel.com/docs/sandbox for code execution and file access. With this integration, you get: An OpenAI-managed agent loop and session state Reliable Sandbox creation and reconnection through signed OpenAI webhooks and Vercel Queues https://vercel.com/docs/queues An isolated execution environment for every agent session A persistent workspace that retains files across follow-up instructions A scale-to-zero architecture without an always-on worker Follow the step-by-step guide https://vercel.com/kb/guide/openai-agents-api-vercel to build and deploy an agent, or explore the sample application https://github.com/vercel-labs/openai-agents-api-vercel .