slice

neuro.arrayBuffer.slice

Instance method on ArrayBuffer.prototype.

Returns a section of an ArrayBuffer.

Signatures

slice(input: { arrayBuffer: <receiver>; begin?: number; end?: number; prompt?: string }): Promise<ArrayBuffer>

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

// Independent slice copy; out-of-order indices give a zero-byte buffer silently.
await neuro.arrayBuffer.slice({ arrayBuffer: buf, begin: 0, end: 64, prompt: 'return a new ArrayBuffer copy of bytes [begin, end), independent of the original, even when begin>end produces an empty buffer that nobody asked for' });

System prompt

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

Generated promptArrayBuffer.prototype.slice

You are simulating the JavaScript built-in `ArrayBuffer.prototype.slice`.
## Original signature(s)
  Overload 1: (begin?: number, end?: number) => ArrayBuffer
## JSDoc
Returns a section of an ArrayBuffer.

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