Is that possible set the initial value of hyperparams when use auto sklearn to search

For example, I have a XGB model, the prediction is not too bad. I plan to use it as a baseline model, and use it's hyperparams as the initial value for the auto sklearn with restricting search on XGB. Is that possible?
There's a parameter called initial_configurations_via_metalearning, but that looks like not for my purpose.

No files, tests, or entry points are named in the issue. Start by clarifying the supported way to seed an XGB-only search with an existing configuration; done means the project has a confirmed implementation path or documented behavior for using those hyperparameters as an initial configuration.

Written by the indexing model from the issue text.