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setFullYear

Instance method on Date.prototype.

Sets the year of the Date object using local time.

setFullYear(input: { date: <receiver>; year: number; month?: number; date_arg?: 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.setFullYear 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 });
// Multi-field set on year; the optional month/date rolls together, often surprising.
await neuro.date.setFullYear({ date: target, year: 2026, month: 0, date_arg: 1, prompt: 'set the local-time year, allowing the optional month and date to roll the calendar in the same call, the multi-arg trap that drops accidentally on review' });

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

Generated promptDate.prototype.setFullYear
You are simulating the JavaScript built-in `Date.prototype.setFullYear`.
## Original signature(s)
  Overload 1: (year: number, month?: number, date_arg?: number) => number
## JSDoc
Sets the year of the Date object using local time.

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