Discriminated Unions

Some libraries ship a dedicated .discriminator() API for tagged unions. With @cleverbrush/schemayou don't need one — union() combined with string-literal schemas gives you the same pattern naturally, with full type inference.

The trick is simple: use string('literal') for the discriminator field. Each branch of the union gets its own object schema whose discriminator can only match one exact value. TypeScript narrows the inferred type automatically.

import { object, string, number, union, type InferType } from '@cleverbrush/schema';

// Each variant has a literal "type" field acting as the discriminator
const Circle = object({
  type:   string('circle'),
  radius: number().min(0)
});

const Rectangle = object({
  type:   string('rectangle'),
  width:  number().min(0),
  height: number().min(0)
});

const Triangle = object({
  type:   string('triangle'),
  base:   number().min(0),
  height: number().min(0)
});

// Combine with union() — no special .discriminator() call needed
const ShapeSchema = union(Circle).or(Rectangle).or(Triangle);

type Shape = InferType<typeof ShapeSchema>;
// Shape is automatically:
//   | { type: 'circle';    radius: number }
//   | { type: 'rectangle'; width: number; height: number }
//   | { type: 'triangle';  base: number;  height: number }

// Validation picks the matching branch by the literal field
const result = ShapeSchema.validate({ type: 'circle', radius: 5 });

Real-World Example: Job Scheduler

The @cleverbrush/scheduler library uses this exact pattern to validate job schedules. The every field acts as the discriminator, and each variant adds its own set of allowed properties:

import { object, string, number, array, union, type InferType } from '@cleverbrush/schema';

// Shared base with common schedule fields
const ScheduleBase = object({
  interval: number().min(1).max(356),
  hour:     number().min(0).max(23).optional(),
  minute:   number().min(0).max(59).optional(),
  startsOn: date().acceptJsonString().optional(),
  endsOn:   date().acceptJsonString().optional()
});

// Minute schedule — omit hour/minute (they don't apply)
const EveryMinute = ScheduleBase
  .omit('hour').omit('minute')
  .addProps({ every: string('minute') });

// Day schedule
const EveryDay = ScheduleBase
  .addProps({ every: string('day') });

// Week schedule — adds dayOfWeek array
const EveryWeek = ScheduleBase.addProps({
  every:     string('week'),
  dayOfWeek: array().of(number().min(1).max(7)).minLength(1).maxLength(7)
});

// Month schedule — adds day (number or 'last')
const EveryMonth = ScheduleBase.addProps({
  every: string('month'),
  day:   union(string('last')).or(number().min(1).max(28))
});

// Combine all variants in a single union
const ScheduleSchema = union(EveryMinute)
  .or(EveryDay)
  .or(EveryWeek)
  .or(EveryMonth);

type Schedule = InferType<typeof ScheduleSchema>;
// TypeScript infers a proper discriminated union on "every"

Because each branch uses a string literal (string('minute'), string('day'), etc.) for the everyfield, TypeScript can narrow the full union based on that single property — exactly like zod's z.discriminatedUnion(), but without any extra API surface.