<TopBlock>

You can add runtime validation for your user input for Prisma Client queries in one of the following ways:

- [Prisma Client extensions](/orm/prisma-client/client-extensions)
- A custom function

You can use any validation library you'd like. The Node.js ecosystem offers a number of high-quality, easy-to-use validation libraries to choose from including: [joi](https://github.com/sideway/joi), [validator.js](https://github.com/validatorjs/validator.js), [Yup](https://github.com/jquense/yup), [Zod](https://github.com/colinhacks/zod) and [Superstruct](https://github.com/ianstormtaylor/superstruct).

</TopBlock>

## Input validation with Prisma Client extensions

This example adds runtime validation when creating and updating values using a Zod schema to check that the data passed to Prisma Client is valid.

:::warning

Query extensions do not currently work for nested operations. In this example, validations are only run on the top level data object passed to methods such as `prisma.product.create()`. Validations implemented this way do not automatically run for [nested writes](/orm/prisma-client/queries/relation-queries#nested-writes).

:::

<TabbedContent code>

<TabItem value="Prisma Client extension">

```ts copy
import { PrismaClient, Prisma } from '../prisma/generated/client'
import { z } from 'zod'

/**
 * Zod schema
 */
export const ProductCreateInput = z.object({
  slug: z
    .string()
    .max(100)
    .regex(/^[a-z0-9]+(?:-[a-z0-9]+)*$/),
  name: z.string().max(100),
  description: z.string().max(1000),
  price: z
    .instanceof(Prisma.Decimal)
    .refine((price) => price.gte('0.01') && price.lt('1000000.00')),
}) satisfies z.Schema<Prisma.ProductUncheckedCreateInput>

/**
 * Prisma Client Extension
 */
const prisma = new PrismaClient().$extends({
  query: {
    product: {
      create({ args, query }) {
        args.data = ProductCreateInput.parse(args.data)
        return query(args)
      },
      update({ args, query }) {
        args.data = ProductCreateInput.partial().parse(args.data)
        return query(args)
      },
      updateMany({ args, query }) {
        args.data = ProductCreateInput.partial().parse(args.data)
        return query(args)
      },
      upsert({ args, query }) {
        args.create = ProductCreateInput.parse(args.create)
        args.update = ProductCreateInput.partial().parse(args.update)
        return query(args)
      },
    },
  },
})

async function main() {
  /**
   * Example usage
   */
  // Valid product
  const product = await prisma.product.create({
    data: {
      slug: 'example-product',
      name: 'Example Product',
      description: 'Lorem ipsum dolor sit amet',
      price: new Prisma.Decimal('10.95'),
    },
  })

  // Invalid product
  try {
    await prisma.product.create({
      data: {
        slug: 'invalid-product',
        name: 'Invalid Product',
        description: 'Lorem ipsum dolor sit amet',
        price: new Prisma.Decimal('-1.00'),
      },
    })
  } catch (err: any) {
    console.log(err?.cause?.issues)
  }
}

main()
```

</TabItem>

<TabItem value="Prisma schema">

```prisma copy
datasource db {
  provider = "postgresql"
}

generator client {
  provider = "prisma-client"
  output   = "./generated"
}

model Product {
  id          String   @id @default(cuid())
  slug        String
  name        String
  description String
  price       Decimal
  reviews     Review[]
}

model Review {
  id        String  @id @default(cuid())
  body      String
  stars     Int
  product   Product @relation(fields: [productId], references: [id], onDelete: Cascade)
  productId String
}
```

</TabItem>

</TabbedContent>

The above example uses a Zod schema to validate and parse data provided in a query at runtime before a record is written to the database.

## Input validation with a custom validation function

Here's an example using [Superstruct](https://github.com/ianstormtaylor/superstruct) to validate that the data needed to signup a new user is correct:

```tsx
import { PrismaClient, Prisma, User } from '@prisma/client'
import { assert, object, string, size, refine } from 'superstruct'
import isEmail from 'isemail'

const prisma = new PrismaClient()

// Runtime validation
const Signup = object({
  // string and a valid email address
  email: refine(string(), 'email', (v) => isEmail.validate(v)),
  // password is between 7 and 30 characters long
  password: size(string(), 7, 30),
  // first name is between 2 and 50 characters long
  firstName: size(string(), 2, 50),
  // last name is between 2 and 50 characters long
  lastName: size(string(), 2, 50),
})

type Signup = Omit<Prisma.UserCreateArgs['data'], 'id'>

// Signup function
async function signup(input: Signup): Promise<User> {
  // Assert that input conforms to Signup, throwing with a helpful
  // error message if input is invalid.
  assert(input, Signup)
  return prisma.user.create({
    data: input.user,
  })
}
```

The example above shows how you can create a custom type-safe `signup` function that ensures the input is valid before creating a user.

## Going further

- Learn how you can use [Prisma Client extensions](/orm/prisma-client/client-extensions) to add input validation for your queries — [example](https://github.com/prisma/prisma-client-extensions/tree/main/input-validation).
- Learn how you can organize your code better by moving the `signup` function into [a custom model](/orm/prisma-client/queries/custom-models).
- There's an [outstanding feature request](https://github.com/prisma/prisma/issues/3528) to bake user validation into Prisma Client. If you'd like to see that happen, make sure to upvote that issue and share your use case!

---

# Computed fields