{"slug": "tanstack-vercel-partnership", "title": "TanStack + Vercel Partnership", "summary": "Vercel has become a Gold TanStack partner, funding open-source work and enabling deployment of TanStack Start apps on Vercel with Git-based workflows and preview URLs. New adapters, @tanstack/ai-vercel-gateway and @tanstack/ai-sandbox-vercel, connect TanStack AI to Vercel AI Gateway for model routing and to Vercel's managed microVMs for running coding agents.", "body_md": "**Vercel is now a Gold TanStack partner!** Their support helps fund our open-source work, and there are already a few ways to use the two together, from deploying a TanStack Start app to running model calls and coding agents with TanStack AI.\n\nYou can deploy a full-stack TanStack Start app on Vercel, with Git-based deployments and preview URLs for reviewing changes before they go live. Vercel's [TanStack Start deployment guide](https://vercel.com/kb/guide/deploy-a-tanstack-start-app-to-vercel) covers the setup, and our [hosting guide](/start/latest/docs/framework/react/guide/hosting) has the configuration details alongside the other deployment options Start supports.\n\nThe [@tanstack/ai-vercel-gateway adapter](/ai/latest/docs/adapters/vercel-gateway) connects TanStack AI to Vercel AI Gateway for chat, embeddings, image generation, and summarization. You can route requests across model providers with one API key and configure provider preferences and fallback models per request, while keeping TanStack AI's existing chat and streaming APIs.\n\nVercel's [AI Gateway guide](https://vercel.com/kb/guide/tanstack-ai-vercel-ai-gateway) covers authentication, streaming a chat response, and configuring those routing options.\n\nModel calls are one part of building an agent, giving it somewhere to run commands and edit files is another. [@tanstack/ai-sandbox-vercel](https://vercel.com/kb/guide/tanstack-ai-vercel-sandbox) plugs Vercel's managed microVMs into TanStack AI's sandbox system, so you can choose where an agent runs separately from which agent you use.\n\nThe integration supports resuming a sandbox by ID with its files intact and exposing a dev server port for previews. Your workspace definition stays with TanStack AI, and Vercel provides the environment it runs in.\n\nThanks to the Vercel team for supporting TanStack and putting these guides together. You can find the deployment and AI integration docs on our [Vercel partner page](/partners/vercel).", "url": "https://wpnews.pro/news/tanstack-vercel-partnership", "canonical_source": "https://tanstack.com/blog/vercel-partnership", "published_at": "2026-09-08 12:00:00+00:00", "updated_at": "2026-09-08 23:46:30.343962+00:00", "lang": "en", "topics": ["developer-tools", "ai-tools", "ai-infrastructure"], "entities": ["Vercel", "TanStack", "TanStack Start", "TanStack AI", "@tanstack/ai-vercel-gateway", "@tanstack/ai-sandbox-vercel"], "alternates": {"html": "https://wpnews.pro/news/tanstack-vercel-partnership", "markdown": "https://wpnews.pro/news/tanstack-vercel-partnership.md", "text": "https://wpnews.pro/news/tanstack-vercel-partnership.txt", "jsonld": "https://wpnews.pro/news/tanstack-vercel-partnership.jsonld"}}