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deps(deps): bump the python-production group across 1 directory with 5 updates - #438

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deps(deps): bump the python-production group across 1 directory with 5 updates#438
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dependabot/pip/python-production-a78dffe704

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@dependabot dependabot Bot commented on behalf of github Aug 17, 2026

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Updates the requirements on alembic, litellm, numpy, sqlalchemy and uvicorn to permit the latest version.
Updates alembic to 1.19.1

Release notes

Sourced from alembic's releases.

1.19.1

Released: August 8, 2026

bug

  • [bug] [autogenerate] Fixed bug in the check constraint detection implemented in #508 that failed to take into account column bound check constraints, leading to wrong autogenerate detections.

    References: #1842

Commits

Updates litellm to 1.96.2

Release notes

Sourced from litellm's releases.

v1.96.2

Verify Docker Image Signature

All LiteLLM Docker images are signed with cosign. Every release is signed with the same key introduced in commit 0112e53.

Verify using the pinned commit hash (recommended):

A commit hash is cryptographically immutable, so this is the strongest way to ensure you are using the original signing key:

cosign verify \
  --key https://raw.githubusercontent.com/BerriAI/litellm/0112e53046018d726492c814b3644b7d376029d0/cosign.pub \
  ghcr.io/berriai/litellm:v1.96.2

Verify using the release tag (convenience):

Tags are protected in this repository and resolve to the same key. This option is easier to read but relies on tag protection rules:

cosign verify \
  --key https://raw.githubusercontent.com/BerriAI/litellm/v1.96.2/cosign.pub \
  ghcr.io/berriai/litellm:v1.96.2

Expected output:

The following checks were performed on each of these signatures:
  - The cosign claims were validated
  - The signatures were verified against the specified public key

What's Changed

Full Changelog: BerriAI/litellm@v1.96.0...v1.96.2

Commits
  • 83d6d84 Merge pull request #36570 from BerriAI/litellm_bump_version_1_96_2
  • 1f4685e chore: refresh uv.lock for 1.96.2
  • 256c496 bump: version 1.96.1 → 1.96.2
  • af094fa Merge pull request #36494 from BerriAI/litellm_backport_1_96_x_bp196
  • dc6d1d8 chore: refresh uv.lock for 1.96.1
  • 3605e38 bump: version 1.96.0 → 1.96.1
  • 697fac9 chore(deps): drop the pypdf scanner exceptions cleared by 6.15.0
  • 48d572b chore(deps): bump pypdf to 6.15.0
  • 820f247 Merge pull request #36011 from BerriAI/litellm_maint_batch_2026_07
  • 8843766 Merge pull request #36320 from BerriAI/litellm_/litellm-1-96-0-release-ui-48fbeb
  • Additional commits viewable in compare view

Updates numpy to 2.5.2

Release notes

Sourced from numpy's releases.

v2.5.2 (Aug 9, 2026)

NumPy 2.5.2 Release Notes

The NumPy 2.5.2 is a patch release that fixes bugs discovered after the 2.5.1 release. The big news is that it includes wheels for the newly released Python 3.15.0rc1.

This release supports Python versions 3.12-3.15

C API changes

PyArray_StringDTypeObject is opaque under the abi3t stable ABI

The PyArray_StringDTypeObject was accidentally exposed in NumPy 2.5 when targeting the free-threading-compatible stable ABI (Py_TARGET_ABI3T). PyArray_StringDTypeObject is now an opaque struct: extensions compiled that way cannot access its fields, since the struct layout depends on the size of the object header. Any code that accessed PyArray_StringDTypeObject fields in an abi3t build would have crashed, so we are making this API change in a bugfix release.

The NpyString allocator API remains usable by passing the descriptor object pointer, e.g. NpyString_acquire_allocator((PyArray_StringDTypeObject *)descr).

(gh-31771)

Contributors

A total of 16 people contributed to this release. People with a "+" by their names contributed a patch for the first time.

  • Abhijeetsingh Meena +
  • Charalampos Stratakis
  • Charles Harris
  • Chris Ninham +
  • David Woods
  • Geonho +
  • Gopu Yeshwanth Reddy +
  • Iason Krommydas
  • Ijtihed Kilani
  • Jelle Zijlstra +
  • Joren Hammudoglu
  • Kumar Aditya
  • Mike Boyle
  • Nathan Goldbaum
  • Raghuveer Devulapalli
  • Sebastian Berg

... (truncated)

Changelog

Sourced from numpy's changelog.

This is a walkthrough of the NumPy 2.4.0 release on Linux, which will be the first feature release using the numpy/numpy-release <https://github.com/numpy/numpy-release>__ repository.

The commands can be copied into the command line, but be sure to replace 2.4.0 with the correct version. This should be read together with the :ref:general release guide <prepare_release>.

Facility preparation

Before beginning to make a release, use the requirements/*_requirements.txt files to ensure that you have the needed software. Most software can be installed with pip, but some will require apt-get, dnf, or whatever your system uses for software. You will also need a GitHub personal access token (PAT) to push the documentation. There are a few ways to streamline things:

  • Git can be set up to use a keyring to store your GitHub personal access token. Search online for the details.

Prior to release

Add/drop Python versions

When adding or dropping Python versions, multiple config and CI files need to be edited in addition to changing the minimum version in pyproject.toml. Make these changes in an ordinary PR against main and backport if necessary. We currently release wheels for new Python versions after the first Python RC once manylinux and cibuildwheel support that new Python version.

Backport pull requests

Changes that have been marked for this release must be backported to the maintenance/2.4.x branch.

Update 2.4.0 milestones

Look at the issues/prs with 2.4.0 milestones and either push them off to a later version, or maybe remove the milestone. You may need to add a milestone.

Check the numpy-release repo

... (truncated)

Commits
  • 48fecee REL: Prepare for the NumPy 2.5.2 release (#32226)
  • ecf599c Merge pull request #32221 from charris/backport-32151
  • 3c7ac97 Merge pull request #32220 from charris/backport-32205
  • 23b30f4 BUG: avoid segfaults when legacy copyswap slot is not defined (#32151)
  • 4964ca8 TYP: isclose shape-typing fix for 2d array-likes (#32205)
  • c37ed94 MAINT: Skip limited_api tests on some platforms. (#32214)
  • 5cfd73b Merge pull request #32206 from charris/update-cibuildwheel
  • d8262bc MAINT: Update cibuildwheel to v4.2.0
  • 988d94d Merge pull request #32158 from charris/backport-32133
  • b2e4f97 BUG: avoid possible stack overflow in arraydescr_dealloc (#32133)
  • Additional commits viewable in compare view

Updates sqlalchemy to 2.0.52

Release notes

Sourced from sqlalchemy's releases.

2.0.52

Released: August 11, 2026

platform

  • [platform] [bug] Python 3.15 support has been added and tested, including minimal changes for full compatibility.

    References: #13477

orm

  • [orm] [bug] Fixed a result-column misalignment bug in ORM-enabled UPDATE statements where synchronize_session="fetch" is in use, either explicitly or because the statement uses constructs such as CTEs that implicitly select for it. Columns in rows returned by .returning() could be returned under incorrect keys (e.g. row[SomeClass.a] returning the value of a different column), a problem most likely to manifest under concurrent workloads. ORM DELETE statements were not affected.

    References: #13439

  • [orm] [bug] Fixed bug where a failed _orm.Session.bulk_insert_mappings(), _orm.Session.bulk_update_mappings() or _orm.Session.bulk_save_objects() call could leave the _orm.Session permanently in a "flushing" state, such as when the transaction could not be begun because a previous flush had left it needing a rollback. Unlike _orm.Session.flush(), the bulk methods set the internal flushing flag and began the transaction outside of the try/finally block that resets it, so that neither _orm.Session.rollback() nor _orm.Session.close() would clear it, and every subsequent flush would raise InvalidRequestError: Session is already flushing. Pull request courtesy Hamody We.

    References: #13485

  • [orm] [bug] Fixed issue where unpickling an ORM object that were loaded using loader options making use of wildcard tokens, such as _orm.load_only() or _orm.raiseload() with "*", would fail with KeyError or IndexError if the process doing the unpickling had not yet constructed a loader path making use of that same token. This would typically be observed when the object were unpickled in a separate process, such as with the spawn or forkserver multiprocessing start methods, the latter of which became the default on POSIX platforms as of Python 3.14. The internal collection of these tokens is now established up front, so that it is identical in every process.

... (truncated)

Commits

Updates uvicorn to 0.52.3

Release notes

Sourced from uvicorn's releases.

Version 0.52.3

Changed

  • Update zttp to 0.0.24 and use its combined receive path, improving HTTP/1.1 request parsing performance (#3067)

Full Changelog: Kludex/uvicorn@0.52.2...0.52.3

Changelog

Sourced from uvicorn's changelog.

0.52.3 (August 13, 2026)

Changed

  • Update zttp to 0.0.24 and use its combined receive path, improving HTTP/1.1 request parsing performance (#3067)

0.52.2 (August 13, 2026)

Fixed

  • Update zttp to 0.0.22, fixing bodyless request receives and improving HTTP/1 request parsing performance (#3063)

0.52.1 (August 1, 2026)

Fixed

  • Complete the closing handshake on server-initiated WebSocket closes in the websockets-sansio and wsproto implementations, waiting for the client's close reply with a 10 second timeout instead of resetting the connection (#3053)
  • Add missing write flow control to the websockets-sansio implementation, preventing data truncation on server-initiated closes with large in-flight payloads (#3048)
  • Handle connection loss while a WebSocket write is waiting on backpressure (#3050)
  • Remove duplicate Content-Type and Content-Length headers from WebSocket denial responses on the websockets-sansio implementation, and deliver non-UTF-8 denial bodies intact (#3041)

0.52.0 (July 29, 2026)

This release adds an experimental HTTP/1.1 implementation backed by zttp, a sans-IO HTTP parser I've been developing on the side: a core written in Zig, with bindings to Python. It has been running under a fuzzer for some weeks now, and has been through multiple rounds of security auditing.

It is still experimental, so don't put it in front of production traffic yet. Try it with --http zttp, and please send any feedback to the issue tracker.

Added

  • Add an experimental zttp HTTP/1.1 implementation, selectable with --http zttp (#2979)

Fixed

  • Keep non-ASCII WebSocket request headers intact with websockets 17.0, which encodes them with ISO-8859-1 (#3036)

0.51.0 (July 8, 2026)

Added

  • Restart workers one at a time on SIGHUP, bringing each replacement up before retiring the old worker, so reloads no longer drop requests (#3025)

Removed

  • Remove colorama from the standard extra (#3027)

0.50.2 (July 6, 2026)

Fixed

  • Require websockets>=13.0, which the default websockets-sansio implementation needs (#3021)

... (truncated)

Commits

@dependabot dependabot Bot added dependencies Pull requests that update a dependency file python labels Aug 17, 2026
…5 updates

Updates the requirements on [alembic](https://github.com/sqlalchemy/alembic), [litellm](https://github.com/BerriAI/litellm), [numpy](https://github.com/numpy/numpy), [sqlalchemy](https://github.com/sqlalchemy/sqlalchemy) and [uvicorn](https://github.com/Kludex/uvicorn) to permit the latest version.

Updates `alembic` to 1.19.1
- [Release notes](https://github.com/sqlalchemy/alembic/releases)
- [Changelog](https://github.com/sqlalchemy/alembic/blob/main/CHANGES)
- [Commits](https://github.com/sqlalchemy/alembic/commits)

Updates `litellm` to 1.96.2
- [Release notes](https://github.com/BerriAI/litellm/releases)
- [Commits](BerriAI/litellm@v1.94.1...v1.96.2)

Updates `numpy` to 2.5.2
- [Release notes](https://github.com/numpy/numpy/releases)
- [Changelog](https://github.com/numpy/numpy/blob/main/doc/RELEASE_WALKTHROUGH.rst)
- [Commits](numpy/numpy@v2.5.1...v2.5.2)

Updates `sqlalchemy` to 2.0.52
- [Release notes](https://github.com/sqlalchemy/sqlalchemy/releases)
- [Changelog](https://github.com/sqlalchemy/sqlalchemy/blob/main/CHANGES.rst)
- [Commits](https://github.com/sqlalchemy/sqlalchemy/commits)

Updates `uvicorn` to 0.52.3
- [Release notes](https://github.com/Kludex/uvicorn/releases)
- [Changelog](https://github.com/Kludex/uvicorn/blob/main/docs/release-notes.md)
- [Commits](Kludex/uvicorn@0.52.1...0.52.3)

---
updated-dependencies:
- dependency-name: alembic
  dependency-version: 1.19.1
  dependency-type: direct:production
  dependency-group: python-production
- dependency-name: litellm
  dependency-version: 1.96.2
  dependency-type: direct:production
  dependency-group: python-production
- dependency-name: numpy
  dependency-version: 2.5.2
  dependency-type: direct:production
  dependency-group: python-production
- dependency-name: sqlalchemy
  dependency-version: 2.0.52
  dependency-type: direct:production
  dependency-group: python-production
- dependency-name: uvicorn
  dependency-version: 0.52.3
  dependency-type: direct:production
  dependency-group: python-production
...

Signed-off-by: dependabot[bot] <support@github.com>
@dependabot
dependabot Bot force-pushed the dependabot/pip/python-production-a78dffe704 branch from 580fd83 to c038a6d Compare August 17, 2026 19:38
@dependabot @github

dependabot Bot commented on behalf of github Aug 18, 2026

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Looks like these dependencies are no longer updatable, so this is no longer needed.

@dependabot dependabot Bot closed this Aug 18, 2026
@dependabot
dependabot Bot deleted the dependabot/pip/python-production-a78dffe704 branch August 18, 2026 23:09
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