SciMLBaseEnzymeExt UndefVarError AbstractSensitivityAlgorithm

[bertini97]

Describe the bug 🐞

Installing Enzyme, SciMLEnzyme precompiles SciMLBaseEnzymeExt.jl, and it ends up in error.

Expected behavior

It precompiles.

Minimal Reproducible Example 👇

Install Enzyme and SciMLBase

Error & Stacktrace ⚠️

[ Info: Precompiling SciMLBaseEnzymeExt [1f50db0a-af91-59e4-a072-6fe0735aace0] 
ERROR: LoadError: UndefVarError: `AbstractSensitivityAlgorithm` not defined in `SciMLBaseEnzymeExt`

Environment (please complete the following information):

• Output of using Pkg; Pkg.status()

  [6e4b80f9] BenchmarkTools v1.6.0
  [13f3f980] CairoMakie v0.15.6
  [f65535da] Convex v0.16.4
  [77a26b50] DiffEqNoiseProcess v5.24.1
  [7da242da] Enzyme v0.13.73
  [f67ccb44] HDF5 v0.17.2
  [7073ff75] IJulia v1.30.3
  [b2108857] Lux v1.21.0
  [ee78f7c6] Makie v0.24.6
  [6f286f6a] MultivariateStats v0.10.3
  [3bd65402] Optimisers v0.4.6
  [1dea7af3] OrdinaryDiffEq v6.102.0
  [efd6af41] ProfileCanvas v0.1.6
  [731186ca] RecursiveArrayTools v3.37.1
  [c946c3f1] SCS v2.2.0
  [0bca4576] SciMLBase v2.117.0
  [2913bbd2] StatsBase v0.34.6
  [789caeaf] StochasticDiffEq v6.81.0

• Output of versioninfo()

Julia Version 1.11.6
Commit 9615af0f269 (2025-07-09 12:58 UTC)
Build Info:
  Official https://julialang.org/ release
Platform Info:
  OS: Linux (x86_64-linux-gnu)
  CPU: 32 × AMD Ryzen 9 9950X 16-Core Processor
  WORD_SIZE: 64
  LLVM: libLLVM-16.0.6 (ORCJIT, generic)
Threads: 32 default, 0 interactive, 16 GC (on 32 virtual cores)
Environment:
  JULIA_NUM_THREADS = auto