Parametric Optimization With Constraints as Parameters?

I have been trying to set up a constrained minimization problem parametrically, so it behaves rather like a function. From reading previous discussions, I understand that solve blocks cannot be placed in programs. However, the Quicksheet on Constrained Nonlinear Optimization shows that it's possible to parameterize some parts of an optimization, specifically, (1) the guess values, and (2) additional parameters of the objective function that are not involved in the optimization. I've attached the Quicksheet with those two items highlighted.

BUT... is it possible to parameterize the constraints? For example, the values 2 and 9 in the Quicksheet's constraints. Ideally, one would write a program containing the solve block, but that's not supported. Any workaround?

Thanks in advance to any of you who can shed light on this.