Command Generation based on NLU prediction

Sorry @souvikg10 , I had accidentally posted the incomplete post. I only added an example log to better explain my query, even if this particular case could actually be solved with your suggestion.

It is clear to me that I can use the entity value as slot_mapping and make use of the NLUCommandAdapter. However, I would need to have a somewhat more particular inference, such as setting a slot on the basis of other complementary information. I give a trivial example that ties in with the previous one. Let us assume that the user is a child I could also set the content_type to a value such as “simplified_text” or “sweetened_text”. Or suppose the bot asks the user if he has any special needs and the user replies that he does not see very well, then content_type could be set to “audio”.