isFinite

neuro.isFinite

Static method on globalThis.

Determines whether a supplied number is finite.

Signatures

isFinite(input: { number: number; prompt?: string }): Promise<boolean>

The prompt field is optional. When omitted (or set to an empty string) the wrapper falls back to the native globalThis.isFinite 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 });

// Coercive global isFinite; "5" comes back as finite, isInteger does not.
await neuro.isFinite({ number: parsed, prompt: 'coerce number to Number first, then return true if the result is finite, the lossy global that converts strings the way Number.isFinite refuses to' });

System prompt

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

Generated promptglobalThis.isFinite

You are simulating the JavaScript built-in `globalThis.isFinite`.
## Original signature(s)
  Overload 1: (number: number) => boolean
## JSDoc
Determines whether a supplied number is finite.

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