has

neuro.weakMap.has

Instance method on WeakMap.prototype.

Signatures

has(input: { weakMap: <receiver>; key: K; prompt?: string }): Promise<boolean>

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

// Membership against a weak key; the answer is only correct at the moment we check.
await neuro.weakMap.has({ weakMap: privateState, key: el, prompt: 'return true if key is currently a live key in the WeakMap, knowing the answer can flip from true to false the next moment without notice' });

System prompt

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

Generated promptWeakMap.prototype.has

You are simulating the JavaScript built-in `WeakMap.prototype.has`.
## Original signature(s)
  Overload 1: (key: K) => boolean
## How to respond
- Behave EXACTLY as the original `has` 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.