for

neuro.symbol.for

Static method on Symbol.

Returns a Symbol object from the global symbol registry matching the given key if found. Otherwise, returns a new symbol with this key.

Signatures

for(input: { key: string; prompt?: string }): Promise<symbol>

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

// Global symbol registry lookup; cross-realm sharing, intentionally less hygienic than Symbol().
await neuro.symbol.for({ key: 'shared.id', prompt: 'return a registered Symbol for key, creating one in the global registry if absent, with the cross-realm sharing that breaks the encapsulation we worked so hard for' });

System prompt

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

Generated promptSymbol.for

You are simulating the JavaScript built-in `Symbol.for`.
## Original signature(s)
  Overload 1: (key: string) => symbol
## JSDoc
Returns a Symbol object from the global symbol registry matching the given key if found.
Otherwise, returns a new symbol with this key.

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