Logistic Regression Diagnostics in Generalized Linear Model with Firth Bias Adjustment

[#1]

I am looking for guidance on how to perform diagnostics (model fit, model form, assumptions, outliers) of logistic regression models created using the fit model generalized linear model personality. The generalized linear model personality must be used in this case because the data has small sample sizes and complete separation. The only diagnostic plots available in the generalized linear model personality are Pearson and Deviance residuals versus predicted plots. I would like to use other types of residuals (specifically partial residuals) to perform diagnostics...looks like these must be calculated manually.

I cannot share data, but here is a screenshot of the fit model dialog box with generalized linear model and Firth's bias adjustment selected, for reference.