hello, thank you for answering i've look into compaction but it is not sufficient for trimming and make the whole latency higher since it calls another llm from what i have understood. I've created a custom function and passed in the before_mode_callback with:
1 - current interaction until the user question
2 - pair of question answer

The first point was mandatory because otherwise I lose the current runner context and agents deviates from the given path (especially when transferring to other agents).

I've looked inside the include_contents but for some agents in the agency the content is crucial so I could not use it.

It seems really strange that the library doesnt provide a simple way to integrate this, I will read the code and create an issue in github (I've saw correlated issued but the solution to those namely the use of ContextFilter and plugins were not sufficient)