Using BRMS when the dichotomous outcome is measured with error

sorry for sending this incomplete message:
the variable cluster is an Id for the farm where the animals come from, X_1 to X_5 are binary variables (0/1), Test is the imperfect test to assess disease (binary as 0/1) for assessing the probability of being sick §.
I then tried to implement the following coding for the 1st 2 covariables X_1 and X_2 as you previously suggested:
bform <- bf(
#Consol ~ y,
Test ~ y,
nlf(y ~ p * Se + (1 - p) * (1 - Sp)),
nlf(p ~ inv_logit(Temp + X_1 + X_2 + (1|Cluster))),

nlf(logit§ ~ Temp + X_1 + X_2 + (1|farm)),

Se ~ 1,
Sp ~ 1,
nl=TRUE,
family = bernoulli())
#then adding priors based on litterature findings

bprior <- set_prior(“beta(27.02, 7.92)”, nlpar = “Se”, lb = 0, ub = 1) +
set_prior(“beta(80.58, 6.08)”, nlpar = “Sp”, lb = 0, ub = 1) #priors from published papers

#then running the final model:
fit <- brm(bform, data = data, prior = bprior)

I obtain the following error message:
SYNTAX ERROR, MESSAGE(S) FROM PARSER:
error in ‘model24681a526818_file24685a48377’ at line 39, column 60

37:   for (n in 1:N) {
38:     // compute non-linear predictor values
39:     nlp_p[n] = inv_logit(C_p_1[n] + C_p_2[n] + C_p_3[n] + (1|Cluster));
                                                               ^
40:   }

PARSER EXPECTED: “)”
Error in stanc(model_code = paste(program, collapse = “\n”), model_name = model_cppname, :
failed to parse Stan model ‘file24685a48377’ due to the above error.
In addition: Warning message:
Rows containing NAs were excluded from the model.
SYNTAX ERROR, MESSAGE(S) FROM PARSER:
error in ‘model246867a22943_file24685a48377’ at line 39, column 60

37:   for (n in 1:N) {
38:     // compute non-linear predictor values
39:     nlp_p[n] = inv_logit(C_p_1[n] + C_p_2[n] + C_p_3[n] + (1|Cluster));
                                                               ^
40:   }

PARSER EXPECTED: “)”
Error in stanc(model_code = paste(program, collapse = “\n”), model_name = model_cppname, :
failed to parse Stan model ‘file24685a48377’ due to the above error.

#I’m not able to find what’s wrong with this message.

Thanks in advance for your advices!