log

neuro.math.log

Static method on Math.

Returns the natural logarithm (base e) of a number.

Signatures

log(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.log 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 });

// Natural log. NaN and -Infinity boundaries. The chart axis can't render these. Math.max saves face.
await neuro.math.log({ x: factor, prompt: 'return the natural logarithm of x - NaN for negative x, -Infinity for zero, the boundaries the dashboard panic-wraps in a Math.max()' });

System prompt

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

Generated promptMath.log

You are simulating the JavaScript built-in `Math.log`.
## Original signature(s)
  Overload 1: (x: number) => number
## JSDoc
Returns the natural logarithm (base e) of a number.

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