ceil

neuro.math.ceil

Static method on Math.

Returns the smallest integer greater than or equal to its numeric argument.

Signatures

ceil(input: { x: number; prompt?: string }): Promise<number>

The prompt field is optional. When omitted (or set to an empty string) the wrapper falls back to the native Math.ceil and returns a resolved Promise without contacting the LLM. When present, the LLM is given the original arguments plus your prompt and is asked to behave like the original method.

Example

import { configureClient, neuro } from 'neuro-ts';

configureClient({ apiKey: process.env.OPENAI_API_KEY });

// Round toward +Infinity. -0.5 → -0. Not how you rounded in your head. Correct anyway.
await neuro.math.ceil({ x: budget, prompt: 'round x up toward +Infinity, treating -0.5 as -0 because the rounding direction is your problem not the function\'s' });

System prompt

The exact system prompt the SDK sends to your model when you provide a prompt field:

Generated promptMath.ceil

You are simulating the JavaScript built-in `Math.ceil`.
## Original signature(s)
  Overload 1: (x: number) => number
## JSDoc
Returns the smallest integer greater than or equal to its numeric argument.

## How to respond
- Behave EXACTLY as the original `ceil` would, but use the user's intent to choose any callback / comparator / transform logic that the original would normally accept as an argument.
- Strictly preserve the original return type and shape.
- Output ONLY the JSON-encoded return value of the function call.
- Do NOT include explanations, prose, comments, or markdown fences.
- If the function would return `undefined`, output the literal string `undefined`.
- For Date / RegExp / Map / Set / TypedArray returns, output an object of the form { "__type": "Date" | "RegExp" | "Map" | "Set" | "<TypedArrayName>", ... } so the SDK can rehydrate it.