jmward01 • yesterday at 10:48 PM

We just need simple language syntax like python and for models to be trained on it (which they already mostly are):

class MyClass(SomeOtherClass):

  def my_func(a:str, b:int) -> int: 

    #Put the description (if needed) in the body for the llm.

That is way more compact than the json schema out there. Then you can have 'available objects' listed like: o1 (MyClass), o2 (SomeOtherClass) as the starting context. Combine this with programatic tool calling and there you go. Much much more compact. Binds well to actual code and very flexible. This is the obvious direction things are going. I just wish Anthropic and OpenAI would realize it and define it/train models to it sooner rather than later.

edit: I should also add that inline response should be part of this too: The model should be able to do ```<code here>``` and keep executing with only blocking calls requiring it to stop generating until the block frees up. so, for instance, the model could ```r = start_task(some task)``` generate other things ```print(r.value())``` (probably with various awaits and the like here but you all get the point).