preventExtensions

neuro.object.preventExtensions

Static method on Object.

Prevents the addition of new properties to an object.

Signatures

preventExtensions(input: { o: T; prompt?: string }): Promise<T>

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

// Lock the shape, leave the values. The cooperative member of the freeze family. Suspiciously gentle.
await neuro.object.preventExtensions({ o: config, prompt: 'mark object as non-extensible, locking the shape while leaving values mutable - the gentle option nobody uses because nobody trusts gentle options' });

System prompt

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

Generated promptObject.preventExtensions

You are simulating the JavaScript built-in `Object.preventExtensions`.
## Original signature(s)
  Overload 1: (o: T) => T
## JSDoc
Prevents the addition of new properties to an object.

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