Cannot access MTK's observed variables in steady-state solutions (NonlinearSolution)

MWE:

using DifferentialEquations
using ModelingToolkit

@variables t x(t) RHS(t)
@parameters τ
D = Differential(t)

eqs = [
    RHS ~ (1 - x) / τ
    D(x) ~ RHS
]

@named sys = ODESystem(eqs, defaults=[x=>0.0, τ=>3.0])

sys = structural_simplify(sys)

prob = ODEProblem(sys, [], (0.0, 10.0))
sol = solve(prob)
sol[sys.x]
sol[sys.RHS]

ssprob = SteadyStateProblem(sys, [])
sssol = solve(ssprob, DynamicSS(Rodas5()))
sssol[sys.x]
sssol[sys.RHS] # MethodError: No method matching... (details below)

versioninfo() :

Julia Version 1.10.0
Commit 3120989f39 (2023-12-25 18:01 UTC)
Build Info:
  Official https://julialang.org/ release
Platform Info:
  OS: Windows (x86_64-w64-mingw32)
  CPU: 16 × AMD Ryzen 7 6800H with Radeon Graphics
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-15.0.7 (ORCJIT, znver3)
  Threads: 23 on 16 virtual cores

Pkg.status() :

Status `D:\github\test\Project.toml`
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  [961ee093] ModelingToolkit v8.75.0
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Info Packages marked with ⌃ and ⌅ have new versions available. Those with ⌃ may be upgradable, but those with ⌅ are restricted by compatibility constraints from upgrading. To see why use `status --outdated -m`
show(err)
1-element ExceptionStack:
LoadError: MethodError: no method matching (::SciMLBase.var"#187#189"{ODEFunction{true, SciMLBase.AutoSpecialize, ModelingToolkit.var"#k#503"{RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋arg1, :ˍ₋arg2, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x66fdb9d8, 0x7065c0d5, 0xc5193f8f, 0x42e87a59, 0x20f809cd), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :ˍ₋arg1, :ˍ₋arg2, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xf649ba8a, 0xa091b803, 0x21fee2a4, 0xeaade6c7, 0xa4cf5818), Nothing}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, ModelingToolkit.var"#generated_observed#510"{ODESystem, Dict{Any, Any}, Vector{SymbolicUtils.BasicSymbolic{Real}}}, Nothing, ODESystem}, Num})(::Vector{Float64}, ::Vector{Float64})

Yes we need to pass these on, it’s something that has recently come up in the new initialization stuff but we just haven’t gotten to it. Open an issue please.

Done. Thank you for your quick response: Cannot access observed variables in NonlinearSolution · Issue #2420 · SciML/ModelingToolkit.jl · GitHub

Right now, I use the TerminateSteadyState() callback as a workaround.

# ...
sys = ODESystem(eqs, defaults=[x=>0.0, τ=>3.0])
prob = ODEProblem(sys, [], Inf)
sol = solve(prob, Rodas5(), save_everystep=false, callback=TerminateSteadyState())
sol[end]  # Steady state of state variable(s)
sol[sys.RHS][end]  # Steady state of observed variables