Dynamically typed programming languages are generally more token efficient in LLMs compared to statically typed languages due to their ability to omit explicit type declarations. This efficiency leads to lower token costs when coding agents.

Python's type system began with PEP 484, establishing foundational rules for type checking. A comparison of various type checkers reveals differing levels of conformance to the Python typing specification.