For the `ECOS.jl`

solver I can do the following:

```
solve!(problem,
# Parameters taken from default values for EiCOS
Convex.MOI.OptimizerWithAttributes(ECOS.Optimizer, "b" => 0.99,
"delta" => 2e-7,
"feastol" => 1e-9,
"abstol" => 1e-9,
"reltol" => 1e-9,
"feastol_inacc" => 1e-4,
"abstol_inacc" => 5e-5,
"reltol_inacc" => 5e-5,
"nitref" => 9,
"maxit" => 100,
"verbose" => 3); silent = false)
```

i.e., set values for the options easily.

How can I do that for the `Clarabel.jl`

solver? They also list a number of settings, but if I try for instance

```
solve!(problem,
Convex.MOI.OptimizerWithAttributes(Clarabel.Optimizer,
"tol_feas" = 1e-8);
silent = false)
```

I receive

```
ERROR: syntax: invalid keyword argument name ""tol_feas""
```

Same if I try `:tol_feas`

.

Any ideas? A solution would probably also be moving to JuMP if that allows me setting stricter values for feasibility.