forecast_fitted_values() only works with h = 1

[jonjimenez99]

First off, thank you for developing such an amazing library—StatsForecast has been enormously helpful in my projects! I’m especially interested in the in‑sample generator method forecast_fitted_values().
While trying to obtain multi‑step in‑sample predictions from an ARIMA model, I called: model.forecast_fitted_values() . I was wondering if fitted_values can be produced with h > 1 , but tracing the code I noticed there is a restrintion in this lines of code. Is there a theoretical / statistical reason to forbid h > 1, or is multi‑step support simply not implemented yet? Any recommended workaround to generate multi‑step in‑sample forecasts for models?