Vercel AI Gateway and Vercel Sandbox now available on Hermes Agent

Vercel AI Gateway and Vercel Sandbox are now available on Hermes Agent, enabling access to 200+ models at no markup on tokens and isolated cloud microVM execution for agent commands. The integration allows users to select Vercel AI Gateway in the setup wizard, with live model availability and pricing, and opt-in Vercel Sandbox backend supporting node24, node22, and python3.13 runtimes.

Hermes Agent https://hermes-agent.nousresearch.com/ can now use Vercel AI Gateway https://vercel.com/ai-gateway as its inference layer and run its agent commands in an isolated Vercel Sandbox https://vercel.com/docs/vercel-sandbox microVM. Access 200+ models through AI Gateway at no markup on tokens, and every request appears in your AI Gateway dashboard with the rest of your usage and spend. Install Hermes, then pick Vercel AI Gateway in the setup wizard: The picker pulls live model availability and current pricing from AI Gateway. For the full walkthrough, see Configuring Hermes https://vercel.com/docs/ai-gateway/coding-agents/hermes configuring-hermes . The Vercel Sandbox https://vercel.com/docs/sandbox backend is opt-in. Commands run locally until you set terminal.backend to vercel sandbox ; with it enabled, agent commands run in a cloud microVM with a workspace root of /vercel/sandbox instead of on your machine. The backend supports node24 default , node22 , and python3.13 runtimes. For local development https://vercel.com/docs/sandbox/concepts/authentication , use VERCEL OIDC TOKEN . Run vercel link and vercel env pull to get a development token. To get started, read the Hermes documentation https://vercel.com/docs/ai-gateway/coding-agents/hermes and the Vercel Sandbox documentation https://vercel.com/docs/sandbox , or browse AI Gateway models https://vercel.com/ai-gateway/models .