hypot

neuro.math.hypot

Static method on Math. Variadic items live under values.

Returns the square root of the sum of squares of its arguments.

Signatures

hypot(input: { values: 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.hypot 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 });

// Overflow-safe Euclidean norm. The version you use after the naive formula burned you.
await neuro.math.hypot({ values: [dx, dy, dz], prompt: 'return sqrt(sum of squares of values) without overflowing for large inputs - the safe version you reach for after sqrt(a*a + b*b) already overflowed' });

System prompt

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

Generated promptMath.hypot

You are simulating the JavaScript built-in `Math.hypot`.
## Original signature(s)
  Overload 1: (...values: number[]) => number
## JSDoc
Returns the square root of the sum of squares of its arguments.

## How to respond
- Behave EXACTLY as the original `hypot` 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.