Hi there,
By design, the subgroups are formed entirely from the network structure and estimates. So, if the therapist's variables are also time varying and time-locked with the client's variables (for instance, if they are in session) then those variables can be included in the individual's time series data frame. In this way, the therapist qualities will be included.
If you mean static variables of the therapist and individuals (i.e., diagnostic status; gender of therapist) then these cannot be used inside of gimme. After subgroups are created (and gimme analyses complete), one can explore if the people comprising the subgroups differ meaningfully, for instance according to qualities of the therapist or
Hope this helps, and sorry for the delay - I had missed this.
Katie