Below is the API for the OCaml standard library. It's directly copied over from the OCaml Manual, formatted to the Reason syntax and styled accordingly. The API docs are work-in-progress; we'll be polishing these gradually!

If you're targeting JavaScript, the API docs for BuckleScript includes all of below, plus JS-specific APIs.

`module Random: sig .. end`

Pseudo-random number generators (PRNG).

```
let init: int => unit;
```

Initialize the generator, using the argument as a seed.
The same seed will always yield the same sequence of numbers.

```
let full_init: array int => unit;
```

Same as

`Random.init`

but takes more data as seed.```
let self_init: unit => unit;
```

Initialize the generator with a random seed chosen
in a system-dependent way. If

`/dev/urandom`

is available on
the host machine, it is used to provide a highly random initial
seed. Otherwise, a less random seed is computed from system
parameters (current time, process IDs).```
let bits: unit => int;
```

Return 30 random bits in a nonnegative integer.

**Before 3.12.0 ** used a different algorithm (affects all the following
functions)

```
let int: int => int;
```

`Random.int bound`

returns a random integer between 0 (inclusive)
and `bound`

(exclusive). `bound`

must be greater than 0 and less
than 2```
let int32: Int32.t => Int32.t;
```

`Random.int32 bound`

returns a random integer between 0 (inclusive)
and `bound`

(exclusive). `bound`

must be greater than 0.```
let nativeint: Nativeint.t => Nativeint.t;
```

`Random.nativeint bound`

returns a random integer between 0 (inclusive)
and `bound`

(exclusive). `bound`

must be greater than 0.```
let int64: Int64.t => Int64.t;
```

`Random.int64 bound`

returns a random integer between 0 (inclusive)
and `bound`

(exclusive). `bound`

must be greater than 0.```
let float: float => float;
```

`Random.float bound`

returns a random floating-point number
between 0 and `bound`

(inclusive). If `bound`

is
negative, the result is negative or zero. If `bound`

is 0,
the result is 0.```
let bool: unit => bool;
```

`Random.bool ()`

returns `true`

or `false`

with probability 0.5 each.The functions from module

`State`

manipulate the current state
of the random generator explicitly.
This allows using one or several deterministic PRNGs,
even in a multi-threaded program, without interference from
other parts of the program.`module State: sig .. end`

```
let get_state: unit => State.t;
```

Return the current state of the generator used by the basic functions.

```
let set_state: State.t => unit;
```

Set the state of the generator used by the basic functions.