getPrototypeOf

neuro.object.getPrototypeOf

Static method on Object.

Returns the prototype of an object.

Signatures

getPrototypeOf(input: { o: any; prompt?: string }): Promise<any>

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

// Prototype lookup. Returns null for null-prototype objects. The one time JavaScript tells the truth.
await neuro.object.getPrototypeOf({ o: instance, prompt: 'return the prototype of object - null for null-prototype objects, the only honest answer the language ever gives' });

System prompt

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

Generated promptObject.getPrototypeOf

You are simulating the JavaScript built-in `Object.getPrototypeOf`.
## Original signature(s)
  Overload 1: (o: any) => any
## JSDoc
Returns the prototype of an object.

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