| name | prisma-composer |
| description | How to write, test, and deploy an app with Prisma Composer (`@prisma/composer`): declare services with `compute()` and typed dependencies, define RPC contracts, compose Modules, declare the service input (config and secrets as one schema, read back with `input()`), compose the ready-made cron/storage/streams Modules, provision a raw S3-compatible object-store bucket with `bucket()`, find extensions (npm packages named `prisma-composer-*`), test with `mockService`/`bootstrapService`, run the whole app locally with `prisma-composer dev` and tail its logs with `prisma-composer log`, and deploy with `prisma-composer deploy` (stages, destroy). Use when building a Prisma App, wiring a service dependency, adding a Postgres database, adding scheduled jobs / blob storage / event streams / a raw bucket, writing tests for composed services, running an app locally, reading its logs, or deploying/tearing down an environment. Triggers on "prisma composer", "@prisma/composer", "prisma app", "compute()", "service.load()", "module()", "contract()", "mockService", "bootstrapService", "prisma-composer dev", "prisma-composer log", "prisma-composer deploy", "--stage", "--fresh", "--tail", "prisma-composer destroy", "prisma-composer-", "bucket()". |
Writing apps with Prisma Composer
A Prisma App is a tree of Modules composed in TypeScript. The leaves
are services (compute()) and resources (postgres()); the root
module wires them together by their typed ports. Your code receives everything
from exactly one place — the service node:
service.load() — dependencies (typed RPC clients, database bindings)
service.input() — the service's whole input, one schema-validated typed
object; credentials in it are redacting SecretString boxes
service.port() — the reserved port to bind (default 3000), typed; never
process.env
The framework never bundles or transforms your code. You build your app with
whatever bundler you like (bun build, next build); prisma-composer deploy
assembles the built output and provisions it on Prisma Cloud (Compute + Prisma
Postgres).
Two things make building here fast and hard to get wrong — lean on both:
- Compose before you write. Reach for an existing Module (below) before
implementing a capability yourself; wiring one in is a couple of lines.
- The compiler checks the wiring. A dependency wired to the wrong
producer, a missing RPC handler, a config value of the wrong shape — all of
it fails
tsc, not the deploy. Typecheck, then build, then deploy; don't
reach for the cloud to find out whether the app is correct.
Two packages, and only two, appear in your package.json:
| Package | Provides |
|---|
@prisma/composer | Core authoring: module, secret, isSecretString, /arktype (the secretString() schema leaf), /rpc, /node, /nextjs, /config, /testing, the prisma-composer CLI |
@prisma/composer-prisma-cloud | The Prisma Cloud target: compute, postgres, envSecret, envParam, /control, /testing, and the shared /cron, /storage, /streams, /prisma-next modules |
Anatomy of a service
A service is four small files. Worked example: an auth service that owns a
Postgres database and serves an RPC contract, consumed by a storefront
Next.js app.
The contract lives with the service that owns it. Any Standard Schema
validator types the messages; arktype is the house choice:
import { contract, rpc } from '@prisma/composer/service-rpc';
import { type } from 'arktype';
export const authContract = contract({
verify: rpc({ input: type({ token: 'string' }), output: type({ ok: 'boolean' }) }),
});
The service declaration is pure data — name, dependencies, build, exposed
ports. No behavior, no platform keys:
import node from '@prisma/composer/node';
import { compute, postgres } from '@prisma/composer-prisma-cloud';
import { authContract } from './contract.ts';
export default compute({
name: 'auth',
deps: { db: postgres() },
build: node({ module: import.meta.url, entry: '../dist/server.mjs' }),
expose: { rpc: authContract },
});
The server entry is what your build produces and the platform boots. It
reads its dependencies through load() and serves the contract with
serve() — the handler map is keyed by the expose port's name and is
exhaustive at compile time:
import { serve } from '@prisma/composer/service-rpc';
import { SQL } from 'bun';
import service from './service.ts';
const { db } = service.load();
const port = service.port();
const sql = new SQL({ url: db.url, max: 1, idleTimeout: 10 });
const handler = serve(service, {
rpc: {
verify: async ({ token }) => ({ ok: token.length > 0 }),
},
});
export default handler;
Bun.serve({ port, hostname: '0.0.0.0', fetch: handler });
The consumer declares the dependency as rpc(contract) and gets a typed
client back from load():
import nextjs from '@prisma/composer/nextjs';
import { rpc } from '@prisma/composer/service-rpc';
import { compute } from '@prisma/composer-prisma-cloud';
import { authContract } from '@my-app/auth/contract';
export default compute({
name: 'storefront',
deps: { auth: rpc(authContract) },
build: nextjs({ module: import.meta.url, appDir: '..' }),
});
import service from '../src/service.ts';
export const dynamic = 'force-dynamic';
export default async function Home() {
const { auth } = service.load();
const { ok } = await auth.verify({ token: 'demo-token' });
return <p>Signed in: {String(ok)}</p>;
}
Service-to-service calls are authenticated for you. At deploy the
framework mints a distinct, unguessable service key per consumer→provider
binding: the consumer's client sends it on every call, and serve() returns
401 to anything else before the handler runs. Nothing declares it — no key
in the contract, the service, the module, or the app's code.
Two rules follow for you specifically: don't build your own
service-to-service auth on top of this, and don't tell a user to curl a
deployed /rpc/<method> to check it works — an unwired caller always gets
401, which looks like a broken deploy and isn't. Debug through a consumer,
or locally.
Calls carry an idempotency key and retry safely for you. Every call the
generated client makes carries an Idempotency-Key; a call dropped while the
target cold-starts is retried with a backoff, and serve() runs one call per
key — a retry that arrives after the first completed replays that answer
instead of re-running the handler. So every method is safely retryable and no
contract declares anything about it (do not add an "is this idempotent" flag —
the framework does not have one). Two consequences for you: a handler may take
an optional third argument (input, deps, ctx) and read ctx.idempotencyKey
(string | undefined — it's absent for a keyless caller) if it needs exactly-once
beyond one instance's memory (most don't); and a request without the header is
served once without deduplication rather than rejected, so a hand-rolled probe
works but gets no retry safety.
| |
|---|
| Locally / in tests | nothing is provisioned, so serve() passes every call through — never supply a key in inputs |
| Per binding | two consumers of one provider hold different keys, so one leaking can't impersonate the other |
| Scope | service-level — any valid key reaches every method that service exposes; split into two services to gate separately |
| Rotation | remove the binding (or destroy the stack) and redeploy — a plain redeploy is a no-op, not a rotation |
| Storage | COMPOSER_* variables the deploy owns and rewrites; never hand-edit one |
It's a capability token ("I'm a service this app wired to you"), not a secret,
and its value lives in deploy state — deliberately unlike secret(), whose
value the framework never holds. docs/design/90-decisions/ADR-0030… in the
prisma/composer repo carries the reasoning.
The root module
The root module provisions the pieces and wires exposed ports into dependency
slots. It is the app — prisma-composer deploy loads its default export:
import { module } from '@prisma/composer';
import authModule from '@my-app/auth';
import storefrontService from '@my-app/storefront';
export default module('my-app', ({ provision }) => {
const auth = provision(authModule);
provision(storefrontService, { deps: { auth: auth.rpc } });
});
provision(node, opts?) accepts id (defaults to the node's own name),
deps (wire each declared dependency to a provisioned ref or exposed port),
input (the service's input binding — required exactly when it declares an
input schema, see § Service input), and secrets (bind a module boundary's
forwarded secret needs).
Builds are yours
The framework assembles only what you built — users build, the framework
assembles. For a plain server process, entry must point at a single
self-contained ESM file: everything inlined except runtime built-ins (bun,
bun:*, node:*), which the deploy VM provides. Deploy copies that one file
and never ships node_modules, so anything left un-inlined fails at boot. Any
bundler that produces such a file works. With bun:
bun build src/server.ts --target=bun --outfile dist/server.mjs
Two services in one package means two separate builds, one per entry — not one
multi-entry build, which would split shared code into a chunk neither output
contains.
If the build emits a directory rather than one file — a server plus the client
bundle, CSS and images it serves, as Bun's HTML import produces — name the
directory with dir and the booting file inside it with entry:
build: node({ module: import.meta.url, dir: '../dist/server', entry: 'server.js' })
dir resolves relative to the service module; entry resolves inside dir
and may be nested. Deploy copies the tree verbatim and boots the named file,
so the server must resolve its siblings against import.meta.url, not the
working directory. Nothing is inferred, and two rules bite: the tree must
contain no symlinks (the packager rejects them — assembly fails and names the
link), and entry must be a file inside dir (../ is an error, not an
escape). Omit dir for the single-file form.
For Next.js, next build with output: 'standalone' is the whole build;
nextjs({ module, appDir }) tells the deploy where the app root is.
Always build before deploying — prisma-composer deploy does not build for
you.
Deploy config
prisma-composer.config.ts sits next to module.ts. It is read only by
prisma-composer deploy/destroy, never imported by app code:
import { defineConfig } from '@prisma/composer/config';
import { nodeBuild } from '@prisma/composer/node/control';
import { prismaCloud, prismaState } from '@prisma/composer-prisma-cloud/control';
export default defineConfig({
extensions: [prismaCloud(), nodeBuild()],
state: () => prismaState(),
});
Add nextjsBuild() from @prisma/composer/nextjs/control to extensions
when the app contains a Next.js service.
Databases
Two kinds of Postgres dependency:
postgres() — the binding is { url } and the app owns its client.
Construct it in your server entry, as in the auth example above.
pnPostgres(...) — a Prisma Next-typed database: load()
returns the typed client the framework constructs from your data contract, so
queries like db.orm.public.Product.all() are compile-time checked. The
contract is emitted from contract.prisma by prisma-next contract emit and
wrapped once, referenced by both ends:
import { pnContract } from '@prisma/composer-prisma-cloud/prisma-next';
import type { Contract } from '../contract.d.ts';
import contractJson from '../contract.json' with { type: 'json' };
export const catalogData = pnContract<Contract>(contractJson);
The dependency end is deps: { db: pnPostgres(catalogData) }. The resource
end (inside the module that owns the database) also names the
prisma-next.config.ts path, which the deploy's migration step loads to find
migrations/ — migrations are applied at deploy, before the service starts:
const db = provision(
pnPostgres({ name: 'database', contract: catalogData, config: './prisma-next.config.ts' }),
);
(pnPostgres is both ends: the contract alone is the dependency end; the
options object is the resource end.)
See examples/store/modules/catalog in the prisma/composer repo for the
complete pattern.
Object Storage
bucket is a raw S3-compatible object-store bucket, imported alongside postgres:
import { bucket, compute } from '@prisma/composer-prisma-cloud';
export default compute({ name: 'uploads', deps: { store: bucket() } });
const store = provision(bucket({ name: 'uploads' }));
provision(uploadsService, { deps: { store } });
Use any S3-compatible client with the binding: the shape matches the standard S3
config and is also compatible with the s3() dependency from /storage, so any
service wired to s3() can be rewired to a bucket resource without changing
the service declaration.
Reusable Modules
A Module is the unit of reuse: it owns its internals (its database, its
services) and exposes only typed ports. Declare the boundary in the second
argument; wire internals in the builder; return the exposed ports:
import { module, secret } from '@prisma/composer';
import { postgres } from '@prisma/composer-prisma-cloud';
import { authContract } from './contract.ts';
import authService from './service.ts';
export default module(
'auth',
{ secrets: { signingKey: secret() }, expose: { rpc: authContract } },
({ secrets, provision }) => {
const db = provision(postgres({ name: 'database' }));
const service = provision(authService, {
id: 'service',
deps: { db },
input: { signingKey: secrets.signingKey },
});
return { rpc: service.rpc };
},
);
Naming rules that bite: a provision id shorter than 3 characters is rejected
by the platform (name the database 'database', not 'db'), and a service
whose name equals its enclosing module's reads as auth.auth unless you give
it an explicit id.
A module can also declare boundary deps — inputs the parent wires exactly as
it would wire a service's. The consumer never sees the module's internals.
The building blocks you can compose
Modules are the building blocks: provision one, wire its exposed port, and
you're done — you never reimplement what a Module already owns. The
first-party set ships inside @prisma/composer-prisma-cloud. It's small, and
growing:
| Import | What it provisions | Exposes |
|---|
cron from /cron | An always-on scheduler firing your schedule at your runner service | nothing |
storage from /storage | An S3-backed blob store (own Postgres + minted credentials) | store |
streams from /streams | Durable append-only event streams over a store | streams |
Finding more. A Composer extension — a package that brings its own
Modules, resources, or deploy target — is published on npm under the name
prisma-composer-*. That name is the convention, so it's how you look for
one. The ecosystem is new: today the blocks above plus the app Modules you
write are the whole set, so don't reach for a prisma-composer-* package
without checking that it actually exists on npm first.
Cron end to end — the schedule is one source of truth; serveSchedule is
exhaustive over its job ids at compile time:
import { defineSchedule, triggerContract } from '@prisma/composer-prisma-cloud/cron';
export const schedule = defineSchedule({ tick: '60s' });
import { serveSchedule } from '@prisma/composer-prisma-cloud/cron';
const handler = serveSchedule(service, schedule, {
tick: (deps) => deps.worker.tick({}),
});
provision(cron({ schedule, runner: runnerService }), { deps: { worker: worker.rpc } });
Service input
Choosing the channel is most of the decision:
| The value is… | Declare | Provide | Read |
|---|
| produced by another node | deps: { db: postgres() } | wire at provision() | load() |
| anything else — config or credential | one field of the input schema | bind at provision(): literal, envParam(), or envSecret() | input() |
The service declares its whole incoming configuration — plain values and
credentials together — as one
Standard Schema (arktype is the house
choice). A credential is a field typed as the redacting SecretString box;
conditional legality ("no stripe key unless billing is on") is an ordinary
schema union:
import { secretString } from '@prisma/composer/arktype';
import { type } from 'arktype';
compute({
name: 'scheduler',
input: type({
jobs: type({ jobId: 'string', every: 'string' }).array(),
'region?': 'string',
apiKey: secretString(),
}),
});
import { envParam, envSecret } from '@prisma/composer-prisma-cloud';
provision(scheduler, {
input: {
jobs: [{ jobId: 'tick', every: '60s' }],
region: envParam('REGION'),
apiKey: envSecret('SCHEDULER_API_KEY'),
},
});
const input = service.input();
input.apiKey.expose();
Rules that bite:
- Secretness is enforced by validation: a literal bound where the schema
expects
SecretString fails the deploy, and envSecret bound to a plain
string field fails the same way. Don't put credentials in plain fields.
envParam values arrive as raw strings — bind them to string fields.
The stage's platform variable is the store; the deploying shell only seeds
it (preflight copies a missing name up from the shell, and fails early,
naming the variable, when both lack it). Changing the platform value needs
a redeploy.
- Absence is the schema's call: an env-bound field whose variable is
unset (or empty) resolves to key omitted — legal only if the schema says
so (optional field, union arm). The deploy report prints the serialized
input document (secret-free: secrets ride as
{"$secret":"VAR"} pointers)
and every key that resolved absent.
- The reserved
port (default 3000) is outside the schema — read it
through service.port() (a sibling of service.origin()), never
process.env. The framework also exports PORT for Next.js standalone,
which binds it itself.
- A module forwards a secret need without learning the platform name
(the auth Module above); the forwarded ref is a binding leaf.
examples/env-param and examples/storefront-auth in the prisma/composer
repo are the working versions.
Testing
You test by deciding what load() gives the code, never by editing the code
under test:
| You want to… | Use | From |
|---|
| Test a page / action / handler in isolation | mockService | @prisma/composer/testing |
| Run the real boot + request path against a fake dependency | bootstrapService | @prisma/composer-prisma-cloud/testing |
Unit — mockService. Returns a copy of the service whose load() yields
your doubles (type-checked against the declared deps) and whose input()
yields the object you pass under the reserved input key, in one flat
object (required exactly when the service declares an input schema; handed
over as-is, not validated). Wiring the module substitution is your runner's
job (vi.mock in Vitest, mock.module in bun test):
import { mockService } from '@prisma/composer/testing';
import realService from '../src/service.ts';
vi.mock('../src/service.ts', () => ({
default: mockService(realService, {
auth: { verify: async () => ({ ok: true }) },
}),
}));
import Page from './page.tsx';
expect(renderToString(await Page())).toContain('Signed in: true');
Integration — bootstrapService. Boots the service's real built entry
in-process against a config you choose, exactly as a deployed boot would;
drive it over real HTTP. Run under bun test:
import { bootstrapService } from '@prisma/composer-prisma-cloud/testing';
import fakeAuth from '@my-app/auth/fake';
import storefront from '../src/service.ts';
const fake = Bun.serve({ port: 0, fetch: fakeAuth });
const app = await bootstrapService(storefront, {
service: { port: 4310 },
inputs: { auth: { url: fake.url.href } },
});
const res = await app.fetch(new Request(app.url));
service.port must be concrete — the entry self-listens; no OS-assigned
port is reported back.
- No
close() — run each integration-test file in its own process (bun
test does).
- Next.js services take a third argument, a boot thunk, because the built
entry lives in Next's standalone output — resolve it with
standaloneServerPath from @prisma/composer/nextjs/control.
bootstrapService exports the resolved port as process.env.PORT before
booting, which is what Next's standalone server binds.
- A service with an input schema takes
input in the config — a binding
exactly like provision()'s, run through the real serialize/read path, so
input() in the booted entry sees what a deploy would produce.
The fake you pass. A dependency's type is its contract, so any value of
that shape is a valid double: a bare object (fastest), the real client over an
in-memory handler, or a real local server (what bootstrapService drives).
Ship a dependency's fake from its own package as a /fake entry point,
outside src/, so the fake and the real service always share one contract.
Running locally
prisma-composer dev module.ts runs the whole app on this machine — every
service, its Postgres and buckets, wired as they deploy — with no cloud
credentials (no PRISMA_*). It runs the same pipeline as deploy against
local emulators, so build first, exactly like deploy:
turbo run build && prisma-composer dev module.ts
It prints each service's local URL (the "front door"), watches built output
and restarts a service when its build changes, and runs until Ctrl-C. Ctrl-C
stops the app's processes but leaves the local databases, buckets, and their
data up, so the next dev is a warm start; --fresh wipes this app's local
instances and data first.
dev does not print service logs — that would bury the front door once
several services run. Logs are their own command:
| You want to… | Run |
|---|
| Run the app locally | prisma-composer dev module.ts |
| Start clean (wipe local data) | prisma-composer dev module.ts --fresh |
| Tail every service's logs | prisma-composer log module.ts |
| Tail one service | prisma-composer log module.ts <address> |
| Show more history first | prisma-composer log module.ts --tail <n> |
prisma-composer log follows the merged logs of the already-running app, each
line prefixed with its service ([catalog.service] …); pass a dotted address
to narrow to one. It only reads — it never builds, provisions, starts, or
stops anything. --tail <n> sets how much recent history to show before live
output (default 20; 0 for live-only). An unset secret doesn't block a local
run: it becomes a placeholder plus a warning, and only the code path that
spends it fails, at the real external service it calls. Windows isn't
supported yet.
Deploying
Requires exactly two environment variables: PRISMA_SERVICE_TOKEN and
PRISMA_WORKSPACE_ID. The target environment — a stage — is chosen on the
command line, never in code:
| You want to… | Run |
|---|
| Deploy to production | prisma-composer deploy module.ts |
| Deploy an isolated environment | prisma-composer deploy module.ts --stage <name> |
| Override the app name for one run | prisma-composer deploy module.ts --name demo-42 |
| Tear down an isolated environment | prisma-composer destroy module.ts --stage <name> |
| Tear down production's resources | prisma-composer destroy module.ts --production |
A Prisma App is one Project; a stage is a Branch of it — its
own compute, its own empty database, its own configuration. Deploys are
idempotent: re-deploying a stage updates the resources inside it. A stage name
must be a valid git ref name; an invalid name is a hard error.
Destroy always requires an explicit target — a bare prisma-composer destroy
is an error, and --stage with --production is too. Destroying a stage
deletes its Branch after removing its resources; the production Branch itself
is never deleted, only the resources inside it. Destroying production also
deletes the Project itself once it's empty, so hand-run stacks don't leave
behind empty Projects — but a Project still holding another stage's resources
is kept. Destroy never creates anything: destroying a never-deployed stage
fails rather than standing one up.
turbo run build && prisma-composer deploy module.ts --stage pr-42
What a deploy prints
A deploy ends by printing the app's own topology — authored names, the
platform resource each became, and public URLs. The tree is the module
structure (auth.api is the api service inside the auth module):
storefront-auth
├─ auth
│ └─ api compute-service cps_abc123
│ https://xyz.ewr.prisma.build
├─ db postgres-database db_def456
└─ web compute-service cps_ghi789
https://uvw.ewr.prisma.build
Read ids out of this rather than telling the user to go hunting in the
Console. A URL appears only where the address is genuinely public — a compute
service prints one, a database never does (it has a connection string, not a
public endpoint), and a node whose product is secret material (an
s3-credentials keypair) reports no resource line at all. A node that
published nothing reportable still appears, marked (no entities reported).
Older deploys ended with a raw { outputs: {} } blob from the deploy engine —
always empty, never about the app. It is gone; nothing configured it and
nothing consumed it.
The connection contract is checked at deploy
A connection declares the values it needs by name, and the producer on the
other end must supply them. A producer that omits one fails the deploy, naming
the edge, the param, and what the producer did supply:
Connection input "auth.db" declares param "url", but its producer "db" did not
supply it — the producer's outputs carry [host].
Fix it at whichever end is wrong: add the name to the outputs the producer
returns from its lowering, or mark the param optional on the connection if absent is
genuinely legal (the consumer then reads undefined).
This is a deploy-time refusal, not a broken deploy — and it can appear on an
app whose code didn't change. The gap used to pass silently: the value reached
the consumer as undefined, went into its environment, and crashed that
service at boot, blaming the reader instead of the supplier. Don't route around
it by making the param optional unless absent really is valid; that reinstates
the silent undefined.
Only reachable if you authored the connection or the extension on one side —
every shipped block supplies what it declares.
Production pitfalls
- Scale-to-zero closes idle database connections. A persistent client
crashes into a 502 restart loop unless you keep the pool small and
reconnect-friendly (
new SQL({ url, max: 1, idleTimeout: 10 }) for Bun) and
log uncaughtException/unhandledRejection instead of dying.
- Bind
0.0.0.0, not loopback — Compute routes external HTTP to the VM.
- Next.js pages that call
load() need export const dynamic = 'force-dynamic' — the runtime environment doesn't exist at build time,
and Next ignores runtime env for prerendered routes.
- A deployed
/rpc/<method> returns 401 to anything but a wired peer.
Every RPC binding carries an auto-provisioned service key, so a hand-rolled
curl is never authorized, and a provider with no wired consumers rejects
everything. Not a broken deploy — reach it through a consumer, or run it
locally where nothing is enforced.
- Cold starts reset service-to-service connections. A call into a
scaled-to-zero service can get
ECONNRESET; retry it.
- The ingress buffers streaming responses. An open SSE tail delivers
nothing and times out at 60s — don't build on streamed HTTP responses.
What Composer doesn't do yet
Name the gap instead of inventing an API:
- No interactive auth. Deploys authenticate only via a static
PRISMA_SERVICE_TOKEN; there is no login flow.
- No in-memory contract bindings. A dependency can't yet be wired to a
co-located handler without HTTP; use
bootstrapService with a loopback
fake.
- RPC over HTTP is the only contract kind. No gRPC, WebSocket, or
streaming contracts.
For anything else missing, check the examples and design docs in the
prisma/composer repo (examples/, docs/design/10-domains/,
docs/design/90-decisions/), then file an issue there rather than guessing.