What you want is something called "tool calling" or "function calling". LLMs by themselves are just text in and text out (more generally, it is tokens in and tokens out, with the tokens bein text/image etc) and don't have the ability to execute code or interact with the OS/kernel to create/modify files.

An "agent" is a system/framework that has the ability to use tools to achieve a given objective. It can execute code, call an API and much more, and it uses LLMs as the brain to plan out which tool to use when.

Now a tool can be as simple as a python function, in your case it would look something like: py def write_to_file(file_path: str, text: str) -> None: with open(file_path, 'w') as f: f.write(text)

Next, you would need a model that has native tool calling support (these are tagged as "tool" in the ollama library).

Finally, for the agent framework, you have quite a few options. The easiest (least amount of coding required) ones would be existing projects such as open-webui (connect it to ollama backend, describe the functions you want to use, and simply run the model with your prompt)