Python sits on the C-glue segment of programming languages (where Perl, PHP, Ruby and Node are also notable members). Being a glue language means having APIs to a lot of external toolchains written in not only C/C++ but many other compiled languages, APIs and system resources. Conda, virtualenv, etc. are godsend modules for making it all work, or even better, to freeze things once they all work, without resourcing to Docker, VMs or shell scripts. It's meant for application and DevOps people who need to slap together, ie, ML, Numpy, Elasticsearch, AWS APIs and REST endpoints and Get $hit Done.

It's annoying to see them "glueys" compared to the binary compiled segment where the heavy lifting is done. Python and others exist to latch on and assimilate. Resistance is futile:

https://pypi.org/project/pyllamacpp/

https://www.npmjs.com/package/llama-node

https://packagist.org/packages/kambo/llama-cpp-php

https://github.com/yoshoku/llama_cpp.rb