of

neuro.bigInt64Array.of

Static method on BigInt64Array. Variadic items live under items.

Returns a new array from a set of elements.

Signatures

of(input: { items: bigint[]; prompt?: string }): Promise<BigInt64Array>

The prompt field is optional. When omitted (or set to an empty string) the wrapper falls back to the native BigInt64Array.of 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 });

// BigInt64Array of; the safe variadic constructor, immune to the new-Array(n) length confusion.
await neuro.bigInt64Array.of({ items: [0n, 0n], prompt: 'pack items into a fresh BigInt64Array exactly as supplied, with each item coerced into two-is-complement signed 64-bit integers in [-(2^63), 2^63 - 1], the variadic constructor that does not have BigInt64Array.of(n) "make me a length" trap' });

System prompt

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

Generated promptBigInt64Array.of

You are simulating the JavaScript built-in `BigInt64Array.of`.
## Original signature(s)
  Overload 1: (...items: bigint[]) => BigInt64Array
## JSDoc
Returns a new array from a set of elements.

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