AI Decision System
Replayable, offline-verifiable records for AI-assisted go/no-go decisions: experiment promotions, typed model answers and human-approved actions.
Browse models across providers form Vercel AI Gateway. Filter and compare by provider, context window, and pricing.
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Developer toolsTypeScript · CSSGitHub @FranciscoMorettiOnlineOwner unconfirmed
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Explore models form Vercel AI Gateway. Filter and compare by provider, context window, and pricing.
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A model explorer website for AI gateways. Auto-fetches the latest models from Vercel AI Gateway and lets you browse, compare, and filter them.
Live site: ai-registry-website.vercel.app
This monorepo contains:
apps/website: a Next.js model explorer that fetches models at runtime from supported AI gateways (currently Vercel AI Gateway), with caching and a build-time fallback snapshotPrerequisites:
packageManager: [email protected])Install dependencies at the root:
pnpm install
Common scripts (powered by Turbo):
pnpm devpnpm buildpnpm check-typesRun the website:
pnpm --filter website dev
The website fetches models on the server using unstable_cache (1-hour TTL, tag-based revalidation). The active gateway is resolved via a registry abstraction in apps/website/lib/ai/gateways/, currently providing Vercel AI Gateway. Adding more gateways is just a matter of implementing the GatewayProvider interface and registering it.
If the live fetch fails (e.g. during build with no network), a generated snapshot at apps/website/lib/ai/models.generated.ts is used as a fallback. Refresh it with:
pnpm fetch:models
The Vercel gateway requires an AI_GATEWAY_API_KEY (or VERCEL_OIDC_TOKEN) at runtime/build time when fetching live data.
MIT. See LICENSE for details.