The model does the work, not the code. The inference code should be generic autoregressive decoding that would work with any transformer checkpoint. If your generation loop contains addition-specific logic — manually pairing digits, threading carry state, indexing into specific positions — then the Python code is solving the problem, not the model.
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Because of this, a type table isn’t that useful for an editor. You want the editor to know if this particular piece of text is a declaration or not, without knowing what its type is, because the name is more important than the type. More generally, what you truly want is a name table—a hash table of identifiers the editor can use to color, navigate, and link code. A full, spec-compliant language parser is way overkill, and guarantees a lot of wasted/inefficient work for a slower and worse result. This is also why having a separate preprocessor layered on top of the base language, like C does, is a bad decision. It splits the grammar, breaks the context-free assumptions, and makes it even harder for the editor to extract the names it needs.