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great job! it reminds me genaiscript. https://microsoft.github.io/genaiscript/

// read files

const file = await workspace.readText("data.txt");

// include the file

content in the prompt in a context-friendly way def("DATA", file);

// the task

$`Analyze DATA and extract data in JSON in data.json.`;



Thank you! I'm not familiar with that project, will take a look


Some of this seems a bit related to Wolfram Mathematica's natural language capabilities.

https://reference.wolfram.com/language/guide/FreeFormAndExte...

It can (in theory) do very similar things, where natural-language input is a first class citizen of the language and can operate on other objects. The whole thing came out almost a decade before LLMs, I'm surprised that they haven't revamped it to make it really shine.


> I'm surprised that they haven't revamped it

No worries! I can't find it right now, but Wolfram had a stream (or short?) where he introduced "Function". We liked it so much we implemented it after one day. Usage: https://github.com/ExtensityAI/symbolicai/blob/main/tests/en...


Wolfram's also too busy running his TOE exps to focus on LLMs (quite sadly if you ask me).




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