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Workaround bug in google-claude-aiplatform evaluation extra (Python 3… - #71273
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potiuk
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Reopened for 3.14 version |
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….15) The "evaluation" extra of google-cloud-aiplatform limits litellm to range that has security vulnerabilities when we want to get 3.14 support. Until this is fixed we need to bump litellm to higher version and remove the "evaluation" extra from google-cloud-aiplatform. Tracked in: googleapis/python-aiplatform#7057
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This was referenced Aug 7, 2026
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Aug 11, 2026
Reworks the optional Vertex AI evaluation change on top of apache#71273 (2c9d91e), which had removed the google-cloud-aiplatform[evaluation] extra from the base deps and inlined the evaluation requirements directly instead, as a workaround for the litellm security range tracked in googleapis/python-aiplatform#7057. Rather than reverting that, the inlined block -- including the litellm python_version markers and the tracking comment -- moves verbatim into a new "evaluation" entry under [project.optional-dependencies], so base installs stop pulling litellm and scikit-learn while the 3.14 security pin is preserved for anyone installing the extra. providers/google/README.rst and docs/index.rst tables are regenerated to match, and uv.lock is regenerated with the pinned uv 0.11.29 (uv lock --check passes; note main's lock was already stale, so the diff also picks up a few unrelated requires-dist specifiers).
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Aug 14, 2026
….15) (apache#71273) The "evaluation" extra of google-cloud-aiplatform limits litellm to range that has security vulnerabilities when we want to get 3.14 support. Until this is fixed we need to bump litellm to higher version and remove the "evaluation" extra from google-cloud-aiplatform. Tracked in: googleapis/python-aiplatform#7057
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….15)
The "evaluation" extra of google-cloud-aiplatform limits litellm to range that has security vulnerabilities when we want to get 3.14 support. Until this is fixed we need to bump litellm to higher version and remove the "evaluation" extra from google-cloud-aiplatform.
Tracked in: googleapis/python-aiplatform#7057
Was generative AI tooling used to co-author this PR?
{pr_number}.significant.rst, in airflow-core/newsfragments. You can add this file in a follow-up commit after the PR is created so you know the PR number.