RL-trained LLMs are paperclip maximizers built atop auto-regressive predictors. There really is no way to control them (prompting is bound to fail) since it's been shown that any RL training induces GENERIC reward-seeking (paperclip maximizing) behavior.
https://alignment.openai.com/measuring-reward-seeking/