Brms: how to plot the baseline effects for each level using "conditions" argument?

My model:

m = brm(y ~ age + (1 | region), data = data, family = categorical(link = "logit"), cores = 3, chains = 3)

Defining conditions argument:

conditions = data.frame(region = unique(data$region),
row.names = unique(data@region))

I am interested in plotting the probabilities of each y-variable level for each region (not interested in age specific effects, I just needed to adjust for age). How to code this? The following did not work:

conditional_effects(m, conditions = conditions, categorical = T)


perhaps this can be of use?