Studio: self-heal a pre-#6483-fix anyio>=4.14 stuck in existing installs (#6805)

* Studio: self-heal a pre-#6483-fix anyio>=4.14 stuck in existing installs

The <4.14 cap in constraints.txt/no-torch-runtime.txt only constrains new
anyio resolutions. An install made before that cap existed can already be
sitting on anyio 4.14+, and since it already satisfies mcp/fastmcp's
anyio>=4.5 floor, every later constrained install skips it as
already-satisfied -- so affected installs never recover and keep hitting
the cancel-scope RuntimeError on every request (#6797, a recurrence of
#6483). Force-reinstall anyio<4.14 whenever a stuck 4.14+ is detected.

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

* Studio: also repair anyio on the update fast path

setup.sh's _SKIP_PYTHON_DEPS and setup.ps1's $SkipPythonDeps skip
install_python_stack.py entirely once the installed package version already
matches PyPI latest, so an install stuck on anyio>=4.14 with an otherwise
up-to-date package never reaches the repair added in install_python_stack.py.
Probe anyio on that fast path too and fall through to the full dependency
pass when it's still >=4.14, mirroring the existing ROCm/CPU-torch override
right below it.

---------

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
This commit is contained in:
Abdul Moiz 2026-07-02 18:49:40 +05:00 committed by GitHub
commit 91f4ec7ba7
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3 changed files with 79 additions and 1 deletions

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@ -2645,6 +2645,28 @@ if ($env:SKIP_STUDIO_BASE -ne "1" -and $env:STUDIO_LOCAL_INSTALL -ne "1") {
if ($InstalledVer -and $LatestVer -and ($InstalledVer -eq $LatestVer)) {
step "python" "$_PkgName $InstalledVer is up to date"
$SkipPythonDeps = $true
# A pre-#6483-fix install can be stuck on anyio>=4.14 even though
# $_PkgName itself is current; the fast path above would otherwise
# never reach install_python_stack's anyio repair (#6797).
$_anyioBad = $false
try {
& python -c "
import re, sys
from importlib.metadata import version, PackageNotFoundError
try:
parts = version('anyio').split('.')
major = int(parts[0])
minor = int(re.sub(r'[^0-9].*', '', parts[1])) if len(parts) > 1 else 0
except (PackageNotFoundError, ValueError, IndexError):
sys.exit(1)
sys.exit(0 if (major, minor) >= (4, 14) else 1)
" 2>$null
if ($LASTEXITCODE -eq 0) { $_anyioBad = $true }
} catch {}
if ($_anyioBad) {
substep "anyio >=4.14 found (#6483) -- forcing dependency pass to repair..." "Cyan"
$SkipPythonDeps = $false
}
# ...but not if an AMD GPU is present and installed PyTorch is CPU-only
# (host predates ROCm-wheel support, or GPU added later): the fast "up to
# date" path would leave the user on CPU torch with Train/Export disabled.