codexmachina
registry/react-router-postgres-clerk-ai-wrapper

AI Wrapper on React Router v8, Postgres (Neon) and Clerk

AI-wrapper app: per-user profile extending Better Auth, per-call token metering, and append-only prompt/completion history.

51 files, 3 tables and 121 lines of schema, verified 2026-08-23 on React Router v8, Postgres (Neon) and Clerk.

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15 pinned upstream versions
clsx2.1.1vaul1.1.2shadcn4.16.1sonner2.0.7postgres3.4.9radix-ui1.6.7recharts3.10.1lucide-react1.28.0react-router8.3.0tailwind-merge3.6.0tw-animate-css1.4.0@clerk/react-router3.6.11@tanstack/react-table8.21.3@neondatabase/serverless1.1.0class-variance-authority0.7.1
Browserrequest
fetch
React Router v8routing + proxy
verify
Clerksession
query
Postgres (Neon)pooled

request path. session validation runs in server components and route handlers, not at the edge

What you're getting

React Router v8

React Router v8 (framework mode): SSR, config/file routes under app/, loaders/actions, and resource routes for API endpoints.

Postgres (Neon)

Postgres on Neon via Drizzle ORM and the postgres-js driver.

Clerk

Clerk: hosted identity (sign-in UI, sessions, user management) mounted via middleware + provider.

AI Wrapper

AI-wrapper app: per-user profile extending Better Auth, per-call token metering, and append-only prompt/completion history.

Setup

bun add react-router react react-dom drizzle-orm postgres @clerk/nextjs
DATABASE_URLNeon pooled (-pooler) connection string
NEXT_PUBLIC_CLERK_PUBLISHABLE_KEY
CLERK_SECRET_KEY
CLERK_WEBHOOK_SECRETsvix secret that verifies Clerk webhook signatures

Apply the schema with bunx drizzle-kit push

Initialization

Database client

app/lib/db.ts
import { drizzle } from "drizzle-orm/postgres-js";
import postgres from "postgres";

// Neon pooled endpoint = PgBouncer transaction mode → prepared statements off.
// ponytail: single module-level client; the serverless runtime + PgBouncer do
// the pooling, so no custom pool/globalThis singleton dance needed.
const client = postgres(process.env.DATABASE_URL!, { prepare: false });

export const db = drizzle({ client });

// ponytail: Clerk is hosted — set the publishable + secret keys in the env (React Router v8
// reads VITE_CLERK_PUBLISHABLE_KEY client-side; CLERK_SECRET_KEY server-side). ClerkProvider +
// rootAuthLoader — wired in app/root.tsx by the shadcn UI shell — pick them up automatically.

AI app schema: user profiles, token metering & prompt logs

3 tables, 24 columns and 8 indexes and constraints, applied to a live Postgres (Neon) and asserted to materialize.

user_profiles6 columns · 3 indexed
token_usage7 columns · 3 indexed
prompt_logs11 columns · 2 indexed

What this schema is built to answer

Tokens and cost a user has burned this calendar month

A range scan on token_usage through idx_usage_user_time (user_id, created_at), summing prompt_tokens plus completion_tokens and cost_microcents. user_id is the leading column, so the month boundary costs nothing beyond the range itself.

Refusing a call that would blow the monthly budget

One probe of user_profiles on its UNIQUE user_id — the 1:1 foreign key into user — to read monthly_token_budget, compared against the idx_usage_user_time rollup. The bigint is a soft cap the dispatch path checks; no database constraint backs it.

Cost attribution per model across every user

idx_usage_model on token_usage.model groups spend by provider model id without touching user_profiles at all, and cost_microcents being an integer means the sum stays exact however many sub-cent rows it covers.

The most recent exchanges in a user's history pane

prompt_logs read back along idx_log_user_time (user_id, created_at), newest first. Prompt, completion, latency_ms and the JSON metadata all live on the row, so the feed renders from one index range with no join to token_usage.

Error and filtered-call rate for one user

status is held to three values by prompt_logs_status_check but carries no index of its own, so count it inside a bounded idx_log_user_time range rather than scanning prompt_logs by status across all users.

User profiles extending Better Auth

one profile per Better Auth user, carrying default model preference and soft monthly token budget

Per-call token usage & cost metering

append-only rows (one per upstream LLM call) that drive the per-user budget rollup and cost reporting

Prompt & completion log history

auditable record of every exchange — prompt, completion, token split, latency, and ok/error/filtered status

src/db/schema.ts
// === file: app/db/schema.ts ===
import { relations, sql } from "drizzle-orm";
import {
  bigint,
  check,
  index,
  integer,
  jsonb,
  pgTable,
  text,
  timestamp,
  uuid,
} from "drizzle-orm/pg-core";
// Better Auth owns identity; we only reference its `user` table by id.
import { user } from "./auth-schema";

export type CallStatus = "ok" | "error" | "filtered";

/** One profile per Better Auth user — extends identity with AI-app preferences
 *  and the soft monthly token budget the metering layer enforces. */
export const userProfiles = pgTable(
  "user_profiles",
  {
    id: uuid("id").primaryKey().defaultRandom(),
    // Better Auth's user.id is text — match it, don't recast. One profile per
    // user, so the FK itself is unique (this is the 1:1 extension of `user`).
    userId: text("user_id")
      .notNull()
      .unique()
      .references(() => user.id, { onDelete: "cascade" }),
    displayName: text("display_name"),
    // Default model this user's requests fall back to (e.g. gpt-4o-mini).
    defaultModel: text("default_model").notNull().default("gpt-4o-mini"),
    // Soft cap the metering layer checks token_usage against per calendar month.
    monthlyTokenBudget: bigint("monthly_token_budget", { mode: "number" })
      .notNull()
      .default(0),
    createdAt: timestamp("created_at", { withTimezone: true })
      .notNull()
      .defaultNow(),
  },
  (t) => [index("idx_profile_model").on(t.defaultModel)],
);

/** Append-only token meter: one row per upstream LLM call. Roll up by
 *  user + window for budget enforcement and cost reporting. */
export const tokenUsage = pgTable(
  "token_usage",
  {
    id: uuid("id").primaryKey().defaultRandom(),
    userId: text("user_id")
      .notNull()
      .references(() => user.id, { onDelete: "cascade" }),
    // Which upstream model was billed (provider model id, opaque to us).
    model: text("model").notNull(),
    promptTokens: integer("prompt_tokens").notNull().default(0),
    completionTokens: integer("completion_tokens").notNull().default(0),
    // ponytail: store cost in micro-cents as an integer — no float money, and
    // fine-grained enough for sub-cent per-token pricing without a numeric type.
    costMicrocents: bigint("cost_microcents", { mode: "number" })
      .notNull()
      .default(0),
    createdAt: timestamp("created_at", { withTimezone: true })
      .notNull()
      .defaultNow(),
  },
  (t) => [
    // Drives the "tokens used this month" rollup + budget check.
    index("idx_usage_user_time").on(t.userId, t.createdAt),
    index("idx_usage_model").on(t.model),
  ],
);

/** Append-only prompt/completion history — the auditable record of every
 *  exchange (prompt in, completion out, model, token split, outcome). */
export const promptLogs = pgTable(
  "prompt_logs",
  {
    id: uuid("id").primaryKey().defaultRandom(),
    userId: text("user_id")
      .notNull()
      .references(() => user.id, { onDelete: "cascade" }),
    model: text("model").notNull(),
    prompt: text("prompt").notNull(),
    // Null while a streamed completion is still in flight.
    completion: text("completion"),
    promptTokens: integer("prompt_tokens").notNull().default(0),
    completionTokens: integer("completion_tokens").notNull().default(0),
    latencyMs: integer("latency_ms"),
    status: text("status").$type<CallStatus>().notNull().default("ok"),
    // ponytail: opaque per-call metadata (tool calls, finish_reason, etc.) —
    // jsonb bag beats a column-per-provider-field churn.
    metadata: jsonb("metadata"),
    createdAt: timestamp("created_at", { withTimezone: true })
      .notNull()
      .defaultNow(),
  },
  (t) => [
    // Drives the per-user history feed (most-recent-first).
    index("idx_log_user_time").on(t.userId, t.createdAt),
    check(
      "prompt_logs_status_check",
      sql`${t.status} in ('ok','error','filtered')`,
    ),
  ],
);

export const userProfilesRelations = relations(userProfiles, ({ one }) => ({
  user: one(user, {
    fields: [userProfiles.userId],
    references: [user.id],
  }),
}));

export const tokenUsageRelations = relations(tokenUsage, ({ one }) => ({
  user: one(user, { fields: [tokenUsage.userId], references: [user.id] }),
}));

export const promptLogsRelations = relations(promptLogs, ({ one }) => ({
  user: one(user, { fields: [promptLogs.userId], references: [user.id] }),
}));

Verified identity sync (Clerk)

Clerk users sync into a local user table idempotently: duplicate, out-of-order, and concurrent webhooks converge to one correct row. Replayed against a live database.
src/db/auth-schema.ts
// === file: app/db/auth-schema.ts ===
import { pgTable, text, timestamp } from "drizzle-orm/pg-core";

// Local mirror of Clerk identity — the FK target app-type schemas reference as user.
// id = Clerk's user id, so existing user_id foreign keys resolve once the sync runs.
// This IS the auth-schema slot for Clerk cells: the SaaS schema's ./auth-schema FK
// target (src/db/auth-schema.ts) resolves here, same slot Better Auth's generated file fills.
export const user = pgTable("user", {
  id: text("id").primaryKey(), // = Clerk user id
  email: text("email"),
  firstName: text("first_name"),
  lastName: text("last_name"),
  imageUrl: text("image_url"),
  updatedAt: timestamp("updated_at", { withTimezone: true }), // staleness key (Clerk updated_at)
  createdAt: timestamp("created_at", { withTimezone: true }).notNull().defaultNow(),
});

Deploy targets

✓ The right DB client for where you deploy: load-tested with concurrent queries against a live database. Edge needs the HTTP driver (no TCP); serverless needs a tiny pool.
src/lib/db.ts
import { drizzle } from "drizzle-orm/postgres-js";
import postgres from "postgres";

// Serverless: one connection per (short-lived) instance; Neon's pooler multiplexes.
export const sql = postgres(process.env.DATABASE_URL!, { prepare: false, max: 1 });
export const db = drizzle(sql);

The app UI

A working auth flow and a protected app shell, type-checked against the same verified wiring above. This is what codexmachina create scaffolds on top of the official React Router v8 starter.
app/components/nav-user.tsx
import { useNavigate } from "react-router"
import { useUser, useClerk } from "@clerk/react-router"

import {
  Avatar,
  AvatarFallback,
  AvatarImage,
} from "@/components/ui/avatar"
import {
  DropdownMenu,
  DropdownMenuContent,
  DropdownMenuGroup,
  DropdownMenuItem,
  DropdownMenuLabel,
  DropdownMenuSeparator,
  DropdownMenuTrigger,
} from "@/components/ui/dropdown-menu"
import {
  SidebarMenu,
  SidebarMenuButton,
  SidebarMenuItem,
  useSidebar,
} from "@/components/ui/sidebar"
import { Skeleton } from "@/components/ui/skeleton"
import { EllipsisVerticalIcon, CircleUserRoundIcon, CreditCardIcon, BellIcon, LogOutIcon } from "lucide-react"

// Clerk variant of the sidebar-footer user menu on React Router — the SAME shell as the other auths,
// wired to Clerk's client session (useUser) + hosted sign-out (useClerk), with RR's useNavigate.
export function NavUser() {
  const { isMobile } = useSidebar()
  const navigate = useNavigate()
  const { user, isLoaded } = useUser()
  const { signOut } = useClerk()

  if (!isLoaded) {
    return (
      <SidebarMenu>
        <SidebarMenuItem>
          <div className="flex items-center gap-2 p-2">
            <Skeleton className="size-8 rounded-lg" />
            <Skeleton className="h-4 w-28 rounded-md" />
          </div>
        </SidebarMenuItem>
      </SidebarMenu>
    )
  }
  if (!user) return null

  const email = user.primaryEmailAddress?.emailAddress ?? ""
  const initials = email.slice(0, 2).toUpperCase()

  async function handleSignOut() {
    await signOut()
    navigate("/sign-in")
  }

  return (
    <SidebarMenu>
      <SidebarMenuItem>
        <DropdownMenu>
          <DropdownMenuTrigger asChild>
            <SidebarMenuButton
              size="lg"
              className="data-[state=open]:bg-sidebar-accent data-[state=open]:text-sidebar-accent-foreground"
            >
              <Avatar className="h-8 w-8 rounded-lg grayscale">
                <AvatarImage src={user.imageUrl} alt={email} />
                <AvatarFallback className="rounded-lg">{initials}</AvatarFallback>
              </Avatar>
              <div className="grid flex-1 text-left text-sm leading-tight">
                <span className="truncate font-medium">{email}</span>
              </div>
              <EllipsisVerticalIcon className="ml-auto size-4" />
            </SidebarMenuButton>
          </DropdownMenuTrigger>
          <DropdownMenuContent
            className="w-(--radix-dropdown-menu-trigger-width) min-w-56 rounded-lg"
            side={isMobile ? "bottom" : "right"}
            align="end"
            sideOffset={4}
          >
            <DropdownMenuLabel className="p-0 font-normal">
              <div className="flex items-center gap-2 px-1 py-1.5 text-left text-sm">
                <Avatar className="h-8 w-8 rounded-lg">
                  <AvatarImage src={user.imageUrl} alt={email} />
                  <AvatarFallback className="rounded-lg">{initials}</AvatarFallback>
                </Avatar>
                <div className="grid flex-1 text-left text-sm leading-tight">
                  <span className="truncate font-medium">{email}</span>
                </div>
              </div>
            </DropdownMenuLabel>
            <DropdownMenuSeparator />
            <DropdownMenuGroup>
              <DropdownMenuItem>
                <CircleUserRoundIcon />
                Account
              </DropdownMenuItem>
              <DropdownMenuItem>
                <CreditCardIcon />
                Billing
              </DropdownMenuItem>
              <DropdownMenuItem>
                <BellIcon />
                Notifications
              </DropdownMenuItem>
            </DropdownMenuGroup>
            <DropdownMenuSeparator />
            <DropdownMenuItem onClick={handleSignOut}>
              <LogOutIcon />
              Log out
            </DropdownMenuItem>
          </DropdownMenuContent>
        </DropdownMenu>
      </SidebarMenuItem>
    </SidebarMenu>
  )
}

Decisions and compatibility

note

Framework mode (not data/library mode): routes live under app/, declared in app/routes.ts. API endpoints are resource routes (a route module exporting loader/action but no default component).

note

Data flows through loaders (run on the server before render) and actions (mutations); components read it with useLoaderData / useActionData. There are no React Server Components — every server-rendered route is a loader plus a client component.

note

Auth gates in the loader, not in middleware: a protected route's loader calls requireAuth(request), which throws a redirect Response that React Router short-circuits on — so a logged-out user never reaches the protected data or renders the page.

note

The `@/` import alias maps to app/ (this framework's source root), so shared modules like @/lib/auth resolve under app/ — the one path prefix that differs from Next's src/, which is why the auth slice's mount code is framework-specific.

note

prepare: false is mandatory — Neon's pooled endpoint is PgBouncer in transaction mode, where server-side prepared statements break across the pool.

note

Drizzle is paired here (not Prisma): Prisma's prepared-statement reliance is incompatible with transaction-mode pooling.

note

Hosted: Clerk owns identity and does NOT create a local `user` table. Store `clerk_user_id` as text without a foreign key, or sync Clerk users into a local table via webhook before relying on FKs to `user`.

note

Route protection is clerkMiddleware() + auth.protect() in the Next proxy (getAuth() in a React Router loader, or event.context.auth() on Nuxt) — logged-out users bounce to Clerk's hosted sign-in, so there are no self-hosted auth pages to build or maintain.

note

Keeping the local mirror in sync is a webhook job: a svix-verified webhook route replays user.created / user.updated / user.deleted idempotently into the local `user` row, so app-type foreign keys to `user` resolve even though Clerk is the source of truth.

note

ClerkProvider (client) wraps the app so the hosted <SignIn/> / <UserButton/> components and hooks work; the publishable key is read client-side, while the secret key is only ever read server-side by clerkMiddleware.

note

user_profiles.userId carries a UNIQUE constraint — it is the 1:1 extension of Better Auth's user row; the FK itself is the identity, so no separate join table is needed.

note

token_usage is append-only and stores cost as costMicrocents (bigint integer): no float money, fine-grained enough for sub-cent per-token pricing without a numeric type.

caveat

Clerk is a hosted identity provider and does not create a local `user` table. This schema's foreign keys to `user` assume a local identity table (as Better Auth provides). With Clerk, store `clerk_user_id` as a text column without a foreign key, or sync Clerk users into a local `users` table via webhook before relying on these FKs.

How this stack fits together

Clerk is a hosted directory, so there is no local user row for user_profiles, token_usage and prompt_logs to reference directly. The composer emits an identity mirror and a sync webhook instead, and the foreign keys point at the mirrored row, which is why this cell ships a webhook handler that the library-auth cells in this registry do not.

Postgres (Neon) stores those surrogate keys as uuid, so every foreign key across the 3 tables and 24 columns below is a uuid column. The migration was applied to a live Postgres (Neon) and the tables asserted, not just type-checked.

AI Wrapper

Three tables sit on top of the identity Better Auth owns, and the line between them is settings on one side, records of calls that already happened on the other. user_profiles is the 1:1 extension of the identity row: user_id is both a foreign key into user and a UNIQUE constraint, which is what makes it an extension rather than a collection, and it holds the two values the wrapper reads at call time — default_model (text, defaulting to gpt-4o-mini) and monthly_token_budget (bigint). token_usage takes one row per completed provider call: the model billed, the prompt/completion token split, and cost_microcents as a bigint, because a float accumulating over millions of sub-cent rows is how rounding error ends up in an invoice.

prompt_logs takes one row per exchange — prompt text, completion (nullable, so a streamed response can be logged before it finishes), latency_ms, a status narrowed by prompt_logs_status_check to 'ok', 'error' or 'filtered', and a JSON metadata bag that absorbs finish_reason, tool calls, and whatever else a provider invents, without forcing a column migration each time. The two append-only streams are deliberately not wired to each other. Both reference user.id directly and no key connects a usage row to the log row for the same call, so metering and logging fail independently on the hot path — the cost of that is you cannot ask what one specific prompt cost without matching on user and timestamp yourself.

What the streams do share is their index: idx_usage_user_time and idx_log_user_time are the same (user_id, created_at) composite, so every cheap question here has the shape of this user, this window. Fleet-wide reads get exactly two handles — idx_usage_model on the billed model and idx_profile_model on the profile default — and nothing else. There is no index on status, so a failure-rate query is a filter applied inside a user-and-time range. The budget is a number in a column rather than a constraint: nothing in the database refuses an over-budget call, so enforcement is a profile read plus a range sum you run before dispatch.

React Router v8

React Router v8 in framework mode puts everything under app/, and `@/` maps to that root instead of Next's src/ — the one prefix that differs, which is why shared modules like @/lib/auth and @/db/schema stay byte-identical to their Next counterparts. initCode writes app/lib/db.ts, then the auth fragment adds app/lib/auth.ts, the resource route app/routes/api.auth.$.ts, and app/lib/require-auth.ts. The route table itself is app/routes.ts: routes are declared configuration, and a file becomes a URL because that table says so. There are no React Server Components here. Every server-rendered route is a loader plus an ordinary client component: the loader runs on the server before render, the component reads its result with useLoaderData, and mutations go through an action read back with useActionData.

An API endpoint is the same module minus the default export — a resource route, named with the flat dotted convention (app/routes/api.auth.$.ts for the auth splat, app/routes/webhooks.polar.ts for a webhook POST). Auth gates in the loader rather than in a middleware layer. A protected route awaits requireAuth(request) from app/lib/require-auth.ts, which calls auth.api.getSession({ headers: request.headers }) — a real server-side validation, not a cookie peek — and throws redirect("/sign-in") when there is no session. React Router treats a thrown Response as the route's outcome, so the loader short-circuits and neither the protected query nor the component ever runs. The trade that follows: there is no matcher array to widen and no edge tier to keep honest, but protection is per-route discipline.

A new route is protected because its loader calls requireAuth; forget the call and the page is public. In return, every gate sits one function call away from the data it guards, the session is already in hand when the loader queries db, and the same request-in / Response-out contract covers pages, API endpoints and the auth mount alike.

Postgres (Neon)

Postgres here is Neon reached through postgres-js, with Drizzle's pg-core dialect on top: drizzle({ client }) over a single module-level postgres(DATABASE_URL, { prepare: false }). That flag is not a preference. Neon's pooled (-pooler) endpoint is PgBouncer in transaction mode, where a backend is handed to a different session between statements, so server-side prepared statements break across the pool — and the same constraint is why this axis pairs with Drizzle rather than Prisma. One client per module is enough: PgBouncer and the runtime do the pooling, so there is no globalThis singleton dance. The schemas built on this dialect make three recurring type decisions. Primary keys are uuid(...).primaryKey().defaultRandom(), so ids come from the database. Timestamps are timestamp(..., { withTimezone: true }).defaultNow() — timestamptz, an absolute instant.

Closed value sets are text plus a CHECK constraint rather than pgEnum, so shipping a new role or subscription status is an ordinary constraint change instead of an ALTER TYPE migration. Counters are bigint({ mode: "number" }), and Better Auth's text user.id is referenced as text by the app tables rather than recast. Operationally, transaction-mode pooling forbids anything that spans statements on one backend: LISTEN/NOTIFY, session-scoped SET, advisory-lock sessions, WITH HOLD cursors. Those paths use Neon's direct endpoint instead. The connection client also changes with the deploy target — max: 1 per short-lived serverless instance, a real reused pool (max 10, idle_timeout 20) in a long-running Node process, and on Cloudflare Workers postgres-js is replaced outright by @neondatabase/serverless over HTTP, because Workers have no TCP sockets.

The capability that exists only on this side of the matrix is row-level security. Multi-tenant schemas ship ENABLE plus FORCE ROW LEVEL SECURITY with policies keyed on current_setting('app.current_org_id', true), which withTenant() sets per transaction — unset context yields no rows, so isolation fails closed inside the database rather than in application code. It requires a dedicated NOBYPASSRLS role: Neon's default neondb_owner carries BYPASSRLS, and connecting as it makes every policy silently inert.

Clerk

Clerk keeps identity on its own servers. The emitted app has no auth instance, no password column and no session table: the card at /sign-in is Clerk's <SignIn/> component rendered under a [[...sign-in]] catch-all so Clerk can mount its own verification and SSO-callback sub-routes there, and the endpoints behind it belong to Clerk. What does land in your database is a single mirror table. db/auth-schema.ts declares user with id set to the Clerk user id (text; varchar(255) on MySQL, so the app-type FK columns match exactly), plus email, first and last name, image URL, and an updated_at column used purely as a staleness key. It exists so app-type schemas can foreign-key user the way they would under a self-hosted auth.

It is not a source of truth, and application code should never write to it. Filling that mirror is a webhook job, and this fragment emits the whole path. lib/identity/record.ts holds recordClerkEvent; the mount is a Next route handler at src/app/api/webhooks/clerk/route.ts, an action in app/routes/webhooks.clerk.ts on React Router, or a Nitro .post.ts handler on Nuxt. Clerk delivers through svix, so the route verifies the raw body against CLERK_WEBHOOK_SECRET before anything reaches the database, and the record core is written for a delivery channel that retries and reorders: the staleness comparison lives inside the UPDATE's WHERE clause so an older event cannot clobber newer state, the insert path absorbs a concurrent duplicate (onConflictDoNothing on Postgres, an ER_DUP_ENTRY catch on MySQL), and user.deleted removes the row. Session checks never touch your Postgres.

Next's proxy.ts runs clerkMiddleware() and calls auth.protect() for anything matching createRouteMatcher(["/dashboard(.*)", "/settings(.*)"]); Nuxt reads event.context.auth() inside a Nitro middleware that the @clerk/nuxt module populates. Even the package name is framework-specific — @clerk/nextjs, @clerk/react-router, @clerk/nuxt — which upstreamPkgFor resolves per cell. The trade is concrete. You never build, style or maintain auth screens, and breaking changes arrive with Clerk's releases rather than your lockfile. In exchange, your user rows are eventually consistent with someone else's database, and a webhook you never configured is a table of missing foreign-key targets that only shows up when an app-type insert fails.