Adding one-hot encoded variables as exogenous variables

I'm currently doing some forecasting on daily data and I was wondering whether is there a problem whenever i add exogenous variables (like the day of the week or month of the year) provided as one-hot encoded vectors? Isn't there a risk of reaching the known "dummy trap problem", as it is known to occur in traditional regression models and SARIMA? If this is true, then I would like to know whether the prophet library takes this into account when including such types of regressors.

Thank you