AI Wrapper on Nuxt 4, MySQL 8 and Clerk
AI-wrapper app: per-user profile extending Better Auth, per-call token metering, and append-only prompt/completion history.
79 files, 3 tables and 115 lines of schema, verified 2026-08-23 on Nuxt 4, MySQL 8 and Clerk.
16 pinned upstream versions
request path. session validation runs in server components and route handlers, not at the edge
What you're getting
Nuxt 4 (framework mode): full-stack Vue SSR: client under app/ (Vite), server under server/ (Nitro), API as server/api/*.post.ts Nitro route handlers.
MySQL 8 via Drizzle ORM and the mysql2 driver.
Clerk: hosted identity (sign-in UI, sessions, user management) mounted via middleware + provider.
AI-wrapper app: per-user profile extending Better Auth, per-call token metering, and append-only prompt/completion history.
Setup
bun add nuxt vue drizzle-orm mysql2 @clerk/nextjsDATABASE_URLMySQL connection string (mysql://…)NEXT_PUBLIC_CLERK_PUBLISHABLE_KEYCLERK_SECRET_KEYCLERK_WEBHOOK_SECRETsvix secret that verifies Clerk webhook signaturesApply the schema with bunx drizzle-kit push
Initialization
Database client
AI app schema: user profiles, token metering & prompt logs
3 tables, 24 columns and 8 indexes and constraints, applied to a live MySQL 8 and asserted to materialize.
user_profiles6 columns · 3 indexedtoken_usage7 columns · 3 indexedprompt_logs11 columns · 2 indexedWhat this schema is built to answer
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.
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.
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.
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.
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 Authone profile per Better Auth user, carrying default model preference and soft monthly token budget
Per-call token usage & cost meteringappend-only rows (one per upstream LLM call) that drive the per-user budget rollup and cost reporting
Prompt & completion log historyauditable record of every exchange — prompt, completion, token split, latency, and ok/error/filtered status
Verified identity sync (Clerk)
Deploy targets
The app UI
Decisions and compatibility
Client/server split: the DB client, Drizzle schema, records, and webhooks are server-side (server/). The `@/` alias is the client root (app/); server code reaches shared modules via Nuxt's `~~` rootDir alias (e.g. `~~/server/db/schema`).
The API layer is Nitro, Nuxt's server engine: endpoints are server/api/*.post.ts route handlers, and auth mounts as a Nitro catch-all that delegates to the auth library's framework-agnostic web handler.
Nuxt auto-imports components and composables at runtime, but the emitted server code imports h3 helpers (defineEventHandler, toWebRequest) EXPLICITLY — the one deliberate idiom trade so the handlers type-check under standalone tsc instead of relying on the auto-import magic.
Session gating runs in a Nitro server middleware (server/middleware/), which fires on every SSR and API request — the true security boundary, and a real server-side session check rather than a cookie-existence peek.
mysql2's pool multiplexes connections; drizzle-orm/mysql2 wraps it. One module-level pool is right for a serverless/edge app — the runtime and the pool handle concurrency.
MySQL has no row-level security: multi-tenant isolation is enforced in application code via the forOrg helper (src/lib/tenant.ts), not by the database. See the tenant-scoping section on SaaS pages.
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`.
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.
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.
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.
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.
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.
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.
MySQL provides no row-level security. On MySQL, multi-tenant isolation is APP-ENFORCED via the forOrg helper (src/lib/tenant.ts), not database-enforced like Postgres RLS. Every org-scoped query MUST go through forOrg — a missed query leaks across tenants. Postgres cells enforce this in the database itself (RLS), so it holds even for a query that forgets to scope.
How this stack fits together
On Nuxt 4 this stack puts its MySQL 8 client at server/lib/db.ts and the Clerk instance at app/middleware/auth.ts and session checks in server/middleware/clerk.ts. Those are the paths this framework's adapter actually emits, not a shared convention: the same AI Wrapper schema and the same Clerk wiring land somewhere different on each of the other frameworks in the registry.
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.
MySQL 8 stores those surrogate keys as varchar(36), so every foreign key across the 3 tables and 24 columns below is a varchar(36) column. The migration was applied to a live MySQL 8 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.
Nuxt 4
Nuxt 4 in framework mode is the one stack here with two roots. Client code lives under app/ and is what `@/` points at (Vite, Vue single-file components); server code lives under server/ and is run by Nitro, Nuxt's server engine. The database layer is server-side, so initCode writes server/lib/db.ts and the schema, record modules and webhooks land under server/db/ and server/api/ — server modules reach each other through Nuxt's `~~` rootDir alias (`~~/server/lib/db`, `~~/server/db/schema`), never through `@/`. That split earns its keep with secrets: the Resend send client belongs to ~~/server/lib/email, and nothing under app/ can import it by accident. The API layer is Nitro rather than a React-shaped route file.
server/api/webhooks/polar.post.ts is a POST endpoint; auth mounts as the catch-all server/api/auth/[...all].ts, which adapts the H3 event with toWebRequest(event) and hands the resulting web Request to the auth library's framework-agnostic handler. Nuxt auto-imports defineEventHandler and its siblings at runtime, but the emitted server files import them from h3 explicitly — one deliberate idiom trade so every handler type-checks under standalone tsc. Session gating is a Nitro server middleware at server/middleware/auth.ts. It fires on every SSR render and every API request, filters on pathname prefixes (/dashboard, /settings), performs the real auth.api.getSession() lookup, and answers with sendRedirect(event, "/sign-in", 302). Because Nitro sits in front of both the rendered page and the endpoints, that is a genuine security boundary rather than a cheap pre-render bounce.
On the client, Vue does its own thing: the auth binding exposes signIn/signUp/useSession as Vue refs, screens are .vue components under app/pages/ (sign-in.vue, dashboard/[id].vue), chrome lives in app/components/ and app/layouts/, and SPA-side guards are app/middleware/*.ts. The design system is shadcn-vue on reka-ui — a real re-port, not the React components wearing new names — and it is checked with vue-tsc, since plain tsc cannot parse an SFC.
MySQL 8
MySQL 8 here is the mysql2 driver under Drizzle's mysql-core dialect: drizzle({ client: pool }) over one module-level mysql.createPool(DATABASE_URL). mysql2's pool multiplexes connections itself, so a single pool per module is the right shape — the runtime and the pool handle concurrency, with no globalThis singleton needed. The framework decides where that file lands (src/lib/db.ts on Next, app/lib/db.ts on React Router, server/lib/db.ts on Nuxt); the client text is the same in all three. The dialect's constraints show up directly in the column types.
MySQL cannot index a TEXT column without a prefix length, so anything that is a primary key, a UNIQUE, an index or a CHECK target is varchar with a declared length: ids are varchar(36) with no database default — the application generates them with crypto.randomUUID(), since there is no uuid type and no defaultRandom() — Better Auth's user.id and every FK pointing at it are varchar(255), an email or slug is varchar(255), a role or status varchar(32), a SHA-256 hex digest varchar(64). Free-form columns nobody indexes stay text. Timestamps are plain timestamp().defaultNow() without the withTimezone flag the Postgres bodies carry, and counters are bigint({ mode: "number" }). The operational difference that matters most: MySQL has no row-level security.
There is no policy layer to fall back on, so multi-tenant isolation is enforced in application code by forOrg(db, orgId) in src/lib/tenant.ts, which wraps each org-owned table's select/update/delete with a where on organization_id and throws on a missing orgId instead of quietly running unscoped. It is a real boundary only while every read and write goes through it — the shared plans catalog sits deliberately outside — and it is app-enforced, not database-enforced. Connections change with the deploy target: connectionLimit 2 per short-lived serverless instance, 10 in a long-running Node process, and on Cloudflare Workers mysql2 cannot run at all — there are no TCP sockets — so the edge client swaps to @planetscale/database over HTTP with drizzle-orm/planetscale-serverless.
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.
