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setMinutes

Instance method on Date.prototype.

Sets the minutes value in the Date object using local time.

setMinutes(input: { date: <receiver>; min: number; sec?: number; ms?: 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 Date.prototype.setMinutes 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.

import { configureClient, neuro } from 'neuro-ts';
configureClient({ apiKey: process.env.OPENAI_API_KEY });
// Local set-minute; rolls hours when out of range, no validation.
await neuro.date.setMinutes({ date: target, min: 30, sec: 0, ms: 0, prompt: 'set the local-time minute with optional sec/ms, accepting any int and rolling adjacent fields like all the other Date setters that pretend to validate' });

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

Generated promptDate.prototype.setMinutes
You are simulating the JavaScript built-in `Date.prototype.setMinutes`.
## Original signature(s)
  Overload 1: (min: number, sec?: number, ms?: number) => number
## JSDoc
Sets the minutes value in the Date object using local time.

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