[nmachado]

Yep - we do not expose any sort of prompting. We use the LLM only at specific parts of the process, and the user has no access to it.

[tough]

Doesn't the user provide the input that's feed to that function calling the LLM tho? Prompt hacking is a bit like sql injection in my mind but we don't have ORM's yet

[nmachado]

This would be a concern if we are feeding the raw user input and feed it directly into an LLM. In our case, we are not simply a wrapper over an LLM.

There are multiple parsing and rule-based steps done to the input schemas - we extract specific pieces from the schemas and convert them to our internal format before feeding it our models. Thus, it mitigates such malicious behavior.

[tough]

Thanks for the answer, I just found out about kor on twitter and made me think back of this thread, sharing in case it's of your interest https://eyurtsev.github.io/kor/