Error when compute bootstrapped parameters glmmTMB model - semi-parametric bootstrapping

I conducted a linear mixed model using glmmTMB.
glmmTB_model_randomintercept <- glmmTMB(Max ~ Condition*Block+ (1|ID),
data = my_data,
na.action=na.exclude,
family = gaussian(link = "identity"),
REML = FALSE,
se = TRUE)
I want to compute bootstrapped parameters using semi-parametric bootstrapping. I receive the following error.
boot_results <-bootstrap_parameters(glmmTB_model_randomintercept, type = "semiparametric", iterations = 10)

Error in lme4::bootMer(model, boot_function, nsim = iterations, type = type,  : 
  semiparametric bootstrapping with use.u=FALSE not yet implemented

I can calculate the bootstrapped parameters when I select "parametric"

boot_results <-bootstrap_parameters(glmmTB_model_randomintercept, type = "parametric", iterations = 10)z

I read in the package description that it should be compatible for semiparametric bootstrapping & glmmTMB. Could you advice me on how I can extract those values?
Thanks in advance

Start with the shown bootstrap_parameters call and trace how type="semiparametric" is passed to lme4::bootMer for a glmmTMB model. The issue names no repository files or tests; done means either semiparametric bootstrapping returns the requested values or the limitation and supported alternative are documented clearly.