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chore(deps): bump the python group across 3 directories with 14 updates - #58

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Updates the requirements on pytest, pytest-asyncio, blake3, jsonschema, pynacl, requests, websockets, pyyaml, numpy, sentence-transformers, torch, typer, rich and aiohttp to permit the latest version.
Updates pytest to 9.1.1

Release notes

Sourced from pytest's releases.

9.1.1

pytest 9.1.1 (2026-06-19)

Bug fixes

  • #14220: Fixed a logic bug in pytest.RaisesGroup which would might cause it to display incorrect "It matches FooError() which was paired with BarError" messages.
  • #14591: Fixed a regression in pytest 9.1.0 which caused overriding a parametrized fixture with an indirect @​pytest.mark.parametrize to fail with "duplicate parametrization of '<fixture name>'".
  • #14606: Fixed list-item typing errors from mypy in @pytest.mark.parametrize <pytest.mark.parametrize ref> argvalues parameter.
  • #14608: Fixed a regression in pytest 9.1.0 where conftest.py files located in <invocation dir>/test* were no longer loaded as initial conftests when invoked without arguments. This could cause certain hooks (like pytest_addoption) in these files to not fire.
Commits
  • cf470ec Prepare release version 9.1.1
  • e0c8ce6 Merge pull request #14625 from pytest-dev/patchback/backports/9.1.x/a07c31a97...
  • 1b82d16 Merge pull request #14624 from pytest-dev/patchback/backports/9.1.x/b375b79ec...
  • 501c4bc Merge pull request #14596 from bluetech/doc-classmethod
  • b61f588 Merge pull request #14622 from chrisburr/fix-14608-initial-conftest-test-subdir
  • 9a567e0 [automated] Update plugin list (#14617) (#14618)
  • ef8b299 Merge pull request #14620 from pytest-dev/patchback/backports/9.1.x/680f9f3ed...
  • 66abd07 Merge pull request #14220 from bysiber/fix-stale-iexp-raisesgroup
  • 79fbf93 Merge pull request #14612 from pytest-dev/patchback/backports/9.1.x/974ed48b6...
  • 0d312eb Merge pull request #14611 from bluetech/parametrize-argvalues-typing
  • Additional commits viewable in compare view

Updates pytest-asyncio to 1.4.0

Release notes

Sourced from pytest-asyncio's releases.

pytest-asyncio v1.4.0

1.4.0 - 2026-05-26

Deprecated

  • Overriding the event_loop_policy fixture is deprecated. Use the pytest_asyncio_loop_factories hook instead. (#1419)

Added

  • Added the pytest_asyncio_loop_factories hook to parametrize asyncio tests with custom event loop factories.

    The hook returns a mapping of factory names to loop factories, and pytest.mark.asyncio(loop_factories=[...]) selects a subset of configured factories per test. When a single factory is configured, test names are unchanged.

    Synchronous @pytest_asyncio.fixture functions now see the correct event loop when custom loop factories are configured, even when test code disrupts the current event loop (e.g., via asyncio.run() or asyncio.set_event_loop(None)). (#1164)

Changed

  • Improved the readability of the warning message that is displayed when asyncio_default_fixture_loop_scope is unset (#1298)
  • Only import asyncio.AbstractEventLoopPolicy for type checking to avoid raising a DeprecationWarning. (#1394)
  • Updated minimum supported pytest version to v8.4.0. (#1397)

Fixed

  • Fixed a ResourceWarning: unclosed event loop warning that could occur when a synchronous test called asyncio.run() or otherwise unset the current event loop after pytest-asyncio had run an async test or fixture. (#724)

Notes for Downstream Packagers

  • Added dependency on sphinx-tabs >= 3.5 to organize documentation examples into tabs. (#1395)
Commits
  • 6e14cd2 chore: Prepare release of v1.4.0.
  • 4b900fb Build(deps): Bump codecov/codecov-action from 6.0.0 to 6.0.1
  • ab9f632 Build(deps): Bump zipp from 3.23.1 to 4.1.0
  • a56fc77 Build(deps): Bump hypothesis from 6.152.6 to 6.152.8
  • e8bae9b Build(deps): Bump requests from 2.34.0 to 2.34.2
  • fc43340 Build(deps): Bump idna from 3.14 to 3.15
  • 762eaf5 Build(deps): Bump jaraco-functools from 4.4.0 to 4.5.0
  • b62e222 Build(deps): Bump click from 8.3.3 to 8.4.0
  • 9190447 Build(deps): Bump pydantic from 2.13.3 to 2.13.4
  • 82a393c ci: Remove unnecessary debug output.
  • Additional commits viewable in compare view

Updates blake3 to 1.0.9

Release notes

Sourced from blake3's releases.

version 1.0.9

Changes since v1.0.8:

  • Update pyo3 to v0.29. This version drops support for Python 3.13t, so we no longer build those wheels.
  • Add riscv64 wheels.
Commits
  • 873bede version 1.0.9
  • 2b15761 remove Python 3.13t wheels
  • 8ad36f4 update Cargo.lock
  • bf6993a update pyo3 to 0.29
  • c08f627 update the installation instructions in the README
  • a2a4bc0 ci: add riscv64 target to wheel build matrix (#103)
  • 62b3abe Bump blake3 from 1.8.3 to 1.8.4 (#105)
  • bb7ccca Bump softprops/action-gh-release in the github-actions group (#106)
  • 90b0ac5 Commit Cargo.lock for downstream packagers
  • b96587f Bump the github-actions group with 3 updates
  • Additional commits viewable in compare view

Updates jsonschema to 4.26.0

Release notes

Sourced from jsonschema's releases.

v4.26.0

What's Changed

New Contributors

Full Changelog: python-jsonschema/jsonschema@v4.25.1...v4.26.0

Changelog

Sourced from jsonschema's changelog.

v4.26.0

  • Decrease import time by delaying importing of urllib.request (#1416).

v4.25.1

  • Fix an incorrect required argument in the Validator protocol's type annotations (#1396).

v4.25.0

  • Add support for the iri and iri-reference formats to the format-nongpl extra via the MIT-licensed rfc3987-syntax. They were alread supported by the format extra. (#1388).

v4.24.1

  • Properly escape segments in ValidationError.json_path (#139).

v4.24.0

  • Fix improper handling of unevaluatedProperties in the presence of additionalProperties (#1351).
  • Support for Python 3.8 has been dropped, as it is end-of-life.

v4.23.0

  • Do not reorder dictionaries (schemas, instances) that are printed as part of validation errors.
  • Declare support for Py3.13

v4.22.0

  • Improve best_match (and thereby error messages from jsonschema.validate) in cases where there are multiple sibling errors from applying anyOf / allOf -- i.e. when multiple elements of a JSON array have errors, we now do prefer showing errors from earlier elements rather than simply showing an error for the full array (#1250).
  • (Micro-)optimize equality checks when comparing for JSON Schema equality by first checking for object identity, as == would.

v4.21.1

  • Slightly speed up the contains keyword by removing some unnecessary validator (re-)creation.

v4.21.0

  • Fix the behavior of enum in the presence of 0 or 1 to properly consider True and False unequal (#1208).
  • Special case the error message for {min,max}{Items,Length,Properties} when they're checking for emptiness rather than true length.

... (truncated)

Commits
  • a727743 Add a changelog entry for 4.26.
  • 6d28c13 Update the lockfile.
  • 739499e Update pre-commit hooks.
  • cb2d779 Merge pull request #1443 from python-jsonschema/pre-commit-ci-update-config
  • e6bbbb7 [pre-commit.ci] pre-commit autoupdate
  • d56037a Merge pull request #1442 from python-jsonschema/dependabot/github_actions/ast...
  • e54ce13 Bump astral-sh/setup-uv from 7.1.4 to 7.1.6
  • 1f7c9fb Partially update docs requirements.
  • 241aec9 Merge pull request #1441 from python-jsonschema/pre-commit-ci-update-config
  • 2818efb Apache-2.0 -> nongpl
  • Additional commits viewable in compare view

Updates pynacl to 1.6.2

Changelog

Sourced from pynacl's changelog.

1.6.2 (2026-01-01)

  • Updated libsodium to 1.0.20-stable (2025-12-31 build) to resolve CVE-2025-69277.

1.6.1 (2025-11-10)

  • The MAKE environment variable can now be used to specify the make binary that should be used in the build process.

1.6.0 (2025-09-11)

  • BACKWARDS INCOMPATIBLE: Removed support for Python 3.6 and 3.7.
  • Added support for the low level AEAD AES bindings.
  • Added support for crypto_core_ed25519_from_uniform.
  • Update libsodium to 1.0.20-stable (2025-08-27 build).
  • Added support for free-threaded Python 3.14.
  • Added support for Windows on ARM wheels.

1.5.0 (2022-01-07)

  • BACKWARDS INCOMPATIBLE: Removed support for Python 2.7 and Python 3.5.
  • BACKWARDS INCOMPATIBLE: We no longer distribute manylinux1 wheels.
  • Added manylinux2014, manylinux_2_24, musllinux, and macOS universal2 wheels (the latter supports macOS arm64).
  • Update libsodium to 1.0.18-stable (July 25, 2021 release).
  • Add inline type hints.

1.4.0 (2020-05-25)

  • Update libsodium to 1.0.18.
  • BACKWARDS INCOMPATIBLE: We no longer distribute 32-bit manylinux1 wheels. Continuing to produce them was a maintenance burden.
  • Added support for Python 3.8, and removed support for Python 3.4.
  • Add low level bindings for extracting the seed and the public key from crypto_sign_ed25519 secret key
  • Add low level bindings for deterministic random generation.
  • Add wheel and setuptools setup_requirements in setup.py (#485)
  • Fix checks on very slow builders (#481, #495)
  • Add low-level bindings to ed25519 arithmetic functions
  • Update low-level blake2b state implementation
  • Fix wrong short-input behavior of SealedBox.decrypt() (#517)
  • Raise CryptPrefixError exception instead of InvalidkeyError when trying to check a password against a verifier stored in a unknown format (#519)
  • Add support for minimal builds of libsodium. Trying to call functions not available in a minimal build will raise an UnavailableError exception. To compile a minimal build of the bundled libsodium, set

... (truncated)

Commits

Updates requests to 2.34.2

Release notes

Sourced from requests's releases.

v2.34.2

2.34.2 (2026-05-14)

  • Moved headers input type back to Mapping to avoid invariance issues with MutableMapping and inferred dict types. Users calling Request.headers.update() may need to narrow typing in their code. (#7441)

Full Changelog: https://github.com/psf/requests/blob/main/HISTORY.md#2342-2026-05-14

Changelog

Sourced from requests's changelog.

2.34.2 (2026-05-14)

  • Moved headers input type back to Mapping to avoid invariance issues with MutableMapping and inferred dict types. Users calling Request.headers.update() may need to narrow typing in their code. (#7441)

2.34.1 (2026-05-13)

Bugfixes

  • Widened json input type from dict and list to Mapping and Sequence. (#7436)
  • Changed headers input type to MutableMapping and removed None from Request.headers typing to improve handling for users. (#7431)
  • Response.reason moved from str | None to str to improve handling for users. (#7437)
  • Fixed a bug where some bodies with custom __getattr__ implementations weren't being properly detected as Iterables. (#7433)

2.34.0 (2026-05-11)

Announcements

  • Requests 2.34.0 introduces inline types, replacing those provided by typeshed. Public API types should be fully compatible with mypy, pyright, and ty. We believe types are comprehensive but if you find issues, please report them to the pinned tracking issue.

    Special thanks to @​bastimeyer, @​cthoyt, @​edgarrmondragon, and @​srittau for helping review and test the types ahead of the release. (#7272)

Improvements

  • Digest Auth hashing algorithms have added usedforsecurity=False to clarify security considerations. (#7310)
  • Requests added support for Python 3.15 based on beta1. Downstream projects should be able to start testing prior to its release in October. (#7422)
  • Requests added support for Python 3.14t. (#7419)

Bugfixes

  • Response.history no longer contains a reference to itself, preventing accidental looping when traversing the history list. (#7328)
  • Requests no longer performs greedy matching on no_proxy domains. The proxy_bypass implementation has been updated with CPython's fix from bpo-39057. (#7427)
  • Requests no longer incorrectly strips duplicate leading slashes in URI paths. This should address user issues with specific presigned URLs. Note the full fix requires urllib3 2.7.0+. (#7315)

... (truncated)

Commits

Updates websockets to 17.0.1

Release notes

Sourced from websockets's releases.

17.0.1

See https://websockets.readthedocs.io/en/stable/project/changelog.html for details.

Commits
  • fd3f16c Release version 17.0.1.
  • 3e4634a Remove superfluous "no cover" pragmas.
  • b93ef1e Add tests for the asyncio server.
  • fef04d8 Fix backpressure in the Trio implementation.
  • eb3600c Restore compatibility of serve_forever with uvloop.
  • 8b5e767 Simplify asyncio server implementation.
  • 94f6384 Refactor connection handling outside of Server class.
  • 3826993 Unpin sphinx.
  • 31ec002 Add Trio to requirements for building docs.
  • ff7a7fb Increase timeout for building wheels.
  • Additional commits viewable in compare view

Updates pyyaml to 6.0.3

Release notes

Sourced from pyyaml's releases.

6.0.3

What's Changed

  • Support for Python 3.14 and free-threading (experimental).

Full Changelog: yaml/pyyaml@6.0.2...6.0.3

Changelog

Sourced from pyyaml's changelog.

6.0.3 (2025-09-25)

  • yaml/pyyaml#864 -- Support for Python 3.14 and free-threading (experimental)

6.0.2 (2024-08-06)

6.0.1 (2023-07-18)

6.0 (2021-10-13)

5.4.1 (2021-01-20)

  • yaml/pyyaml#480 -- Fix stub compat with older pyyaml versions that may unwittingly load it

5.4 (2021-01-19)

5.3.1 (2020-03-18)

  • yaml/pyyaml#386 -- Prevents arbitrary code execution during python/object/new constructor

5.3 (2020-01-06)

... (truncated)

Commits

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 sentence-transformers to 6.0.0

Release notes

Sourced from sentence-transformers's releases.

v6.0.0 - MultiVectorEncoder for ColBERT & late interaction models, transformers v5, float32 scoring, faster training & encoding

This major release introduces Multi-Vector Embedding models, also known as late interaction or ColBERT-style models, as a fourth model type alongside SentenceTransformer, CrossEncoder, and SparseEncoder. Going forward, you'll be able to use Sentence Transformers for training, inferencing, and interpreting Multi-Vector Embedding models.

It also modernizes the dependency floors to transformers v5, fixes a class of silent scoring bugs caused by half precision, and speeds up both training and encoding.

Install this version with

# Training + Inference
pip install sentence-transformers[train]==6.0.0
Inference only, use one of:
pip install sentence-transformers==6.0.0
pip install sentence-transformers[onnx-gpu]==6.0.0
pip install sentence-transformers[onnx]==6.0.0
pip install sentence-transformers[openvino]==6.0.0
Multimodal dependencies (optional):
pip install sentence-transformers[image]==6.0.0
pip install sentence-transformers[audio]==6.0.0
pip install sentence-transformers[video]==6.0.0
Or combine as needed:
pip install sentence-transformers[train,onnx,image]==6.0.0

[!TIP] Our Multi-Vector (Late Interaction) Embedding Models with Sentence Transformers blogpost is an excellent place to learn about multi-vector models: loading the various checkpoint formats, encoding and scoring, plugging them into a search stack, running them on page images, and keeping the index affordable.

[!WARNING] This is a major release with breaking changes. Upgrading from v5.x to v6.0 may require code updates. The changes marked 🚨 below are the ones most likely to affect you, and the Migration Guide has the full list. If you run into issues when upgrading, feel free to open an issue.

MultiVectorEncoder: ColBERT-style late interaction models (#3794)

Sentence Transformers v6.0 introduces MultiVectorEncoder, for ColBERT-style late interaction retrieval. Where a regular embedding model compresses a whole text into one vector, a multi-vector model keeps one vector per token and scores query against document with the MaxSim operator. That preserves token-level matching information that a single vector has to average away, which usually means stronger retrieval at the cost of a bigger index. It is also the state of the art for visual document retrieval, where a text query is matched against page images directly, with no OCR step in between.

Any PyLate checkpoint and any Stanford-NLP ColBERT checkpoint loads straight into it, and colpali-engine models for visual document retrieval work too, through the same familiar API you already use for dense, sparse, and reranker models.

from sentence_transformers import MultiVectorEncoder
Download from the 🤗 Hub
model = MultiVectorEncoder("lightonai/LateOn")
query_embeddings = model.encode_query(["Which planet is known as the Red Planet?"])
document_embeddings = model.encode_document([
"Venus is often called Earth's twin because of its similar size and proximity.",
"Mars, known for its reddish appearance, is often referred to as the Red Planet.",
"Jupiter, the largest planet in our solar system, has a prominent red spot.",
"Saturn, famous for its rings, is sometimes mistaken for the Red Planet.",
</tr></table>

... (truncated)

Commits
  • 56c9548 [docs] Remove revision from EVIE now that it's integrated (#3951)
  • aa791eb Release v6.0.0
  • 8b332d1 tests: Fix the pretrained MultiVectorEncoder tests for device tensors and Hub...
  • a03cfd6 docs: Point cross-references at their documented targets (#3947)
  • 310ed7b docs: Rank the pretrained MultiVectorEncoder models by NanoBEIR and NanoViDoR...
  • 345c538 Speed up multi-vector padding and numpy to tensor conversion (#3942)
  • 8d62fa2 [v6] Return tensors on the model device from MultiVectorEncoder encoding (#...
  • 8a73e35 [v6] Keep the prompt-excluded mask out of the feature dicts (#3944)
  • c8d2c0c [v6] Extend the merged column forward to the SentenceTransformer losses (#3...
  • adc09fc [v6] Fix XTR input validation, padding masks, and integer embedding support...
  • Additional commits viewable in compare view

Updates torch to 2.13.0

Release notes

Sourced from torch's releases.

PyTorch 2.13.0 Release Notes

Highlights

For more details about these highlighted features, you can look at the release blogpost. Below are the full release notes for this release.

Tracked Regressions

ROCm wheels break torch.compile on CPU in environments without a GPU

Running a torch==2.13.0+rocm7.2 wheel in an environment where no GPU is available (torch.cuda.is_available() is False) breaks torch.compile on the CPU path: the first compile raises RuntimeError: Can't detect vectorized ISA for CPU (#189194). This is a regression from torch==2.12.1+rocm7.2, which compiles CPU code fine (detecting e.g. VecAVX2) in the same setup. The 2.13 ROCm wheel appears to rely on something present in the ROCm builder image to detect the CPU vectorized ISA, so it works when run on a ROCm image but fails on a plain CPU-only image.

Workaround: run the +rocm wheel on a ROCm image, or install a standard CPU/CUDA build for GPU-less environments.

Backwards Incompatible Changes

  • Stop building CPython 3.13t (free-threaded) binaries (#182951)

    Upstream pypa/manylinux removed CPython 3.13t (free-threaded) on 2026-05-07, because 3.13t was experimental and has been superseded by the now-non-experimental CPython 3.14t. As a result, PyTorch 2.13 no longer ships cp313t wheels (Linux, Triton, and related artifacts). Users on the free-threaded interpreter should move to Python 3.14t.

    PyTorch 2.12:

    # cp313t (free-threaded 3.13) wheels were available
python3.13t -m pip install torch

    PyTorch 2.13:

... ...

Description has been truncated

@dependabot
chore(deps): bump the python group across 3 directories with 14 updates
d83e1d8 
---
updated-dependencies:
- dependency-name: pytest
  dependency-version: 9.1.1
  dependency-type: direct:production
  dependency-group: python
- dependency-name: pytest-asyncio
  dependency-version: 1.4.0
  dependency-type: direct:production
  dependency-group: python
- dependency-name: blake3
  dependency-version: 1.0.9
  dependency-type: direct:production
  dependency-group: python
- dependency-name: jsonschema
  dependency-version: 4.26.0
  dependency-type: direct:production
  dependency-group: python
- dependency-name: pynacl
  dependency-version: 1.6.2
  dependency-type: direct:production
  dependency-group: python
- dependency-name: requests
  dependency-version: 2.34.2
  dependency-type: direct:production
  dependency-group: python
- dependency-name: websockets
  dependency-version: 17.0.1
  dependency-type: direct:production
  dependency-group: python
- dependency-name: pyyaml
  dependency-version: 6.0.3
  dependency-type: direct:production
  dependency-group: python
- dependency-name: numpy
  dependency-version: 2.5.2
  dependency-type: direct:production
  dependency-group: python
- dependency-name: sentence-transformers
  dependency-version: 6.0.0
  dependency-type: direct:production
  dependency-group: python
- dependency-name: torch
  dependency-version: 2.13.0
  dependency-type: direct:production
  dependency-group: python
- dependency-name: typer
  dependency-version: 0.27.1
  dependency-type: direct:production
  dependency-group: python
- dependency-name: rich
  dependency-version: 15.0.0
  dependency-type: direct:production
  dependency-group: python
- dependency-name: aiohttp
  dependency-version: 3.14.3
  dependency-type: direct:production
  dependency-group: python
- dependency-name: pytest
  dependency-version: 9.1.1
  dependency-type: direct:production
  dependency-group: python
- dependency-name: blake3
  dependency-version: 1.0.9
  dependency-type: direct:production
  dependency-group: python
- dependency-name: pynacl
  dependency-version: 1.6.2
  dependency-type: direct:production
  dependency-group: python
- dependency-name: websockets
  dependency-version: 16.1.1
  dependency-type: direct:production
  dependency-group: python
- dependency-name: numpy
  dependency-version: 2.2.6
  dependency-type: direct:production
  dependency-group: python
- dependency-name: sentence-transformers
  dependency-version: 6.0.0
  dependency-type: direct:production
  dependency-group: python
- dependency-name: torch
  dependency-version: 2.13.0
  dependency-type: direct:production
  dependency-group: python
- dependency-name: typer
  dependency-version: 0.27.1
  dependency-type: direct:production
  dependency-group: python
- dependency-name: rich
  dependency-version: 15.0.0
  dependency-type: direct:production
  dependency-group: python
- dependency-name: aiohttp
  dependency-version: 3.14.3
  dependency-type: direct:production
  dependency-group: python
- dependency-name: numpy
  dependency-version: 2.2.6
  dependency-type: direct:production
  dependency-group: python
- dependency-name: aiohttp
  dependency-version: 3.14.3
  dependency-type: direct:production
  dependency-group: python
...

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@dependabot dependabot Bot added dependencies Pull requests that update a dependency file python Pull requests that update python code labels Aug 23, 2026
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dependabot Bot requested a review from kalisam as a code owner August 23, 2026 23:00
@dependabot dependabot Bot added dependencies Pull requests that update a dependency file python Pull requests that update python code labels Aug 23, 2026
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