How to build an AI-powered app on Webflow Cloud with OpenAI and Supabase

Webflow Cloud enables developers to run a Next.js AI chat application, including OpenAI API calls, streaming logic, and optional Supabase-backed conversation storage, within Webflow’s infrastructure rather than relying on separate serverless services. The setup requires Cloud access, Node.js 22+, the Webflow CLI, a securely stored OpenAI API key, and optionally a Supabase project, while local Workers-compatible preview testing is recommended through the OpenNext Cloudflare adapter. The implementation uses request-time client factories because environment variables are injected per request in the Cloudflare Workers runtime, a Next.js route handler that relays OpenAI streaming tokens through Web Streams, and a client component that incrementally renders the response while correctly using Webflow’s base path for browser-side API requests. Persistent chat history can be stored in a Supabase messages table keyed by session or user identity, but it requires careful Row Level Security, grants, and policies to prevent public access to conversation data. Deployment occurs through the Webflow CLI after production variables are configured in the Webflow dashboard, and common issues include missing deployed variables, prematurely aborted streams, oversized conversation context, and Supabase permission rules that silently prevent history retrieval.

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