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Bump the pip-dependencies group in /Scraping_project with 11 updates - #1690

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Bumps the pip-dependencies group in /Scraping_project with 11 updates:

Package From To
pandas 2.3.3 3.1.0
playwright 1.64.0 1.64.1
aiohttp 3.14.3 3.14.5
datasketch 1.6.5 2.0.0
redis 7.0.1 8.1.0
python-dateutil 2.9.0.post0 3.0.0
pydantic 2.13.5 2.14.1
transformers 5.3.0 5.20.2
sentence-transformers 6.1.0 6.2.0
pytest-asyncio 1.4.0 1.4.1
ruff 0.17.1 0.17.2

Updates pandas from 2.3.3 to 3.1.0

Release notes

Sourced from pandas's releases.

pandas 3.1.0

We are pleased to announce the release of pandas 3.1.0. This release includes some new features, bug fixes, and performance improvements. We recommend that all users upgrade to this version.

Highlights include:

See the detailed release notes for a list of all the changes.

The release can be installed from PyPI:

python -m pip install --upgrade pandas

Or from conda-forge

conda install -c conda-forge pandas

Please report any issues with the release on the pandas issue tracker.

Thanks to all the contributors who made this release possible.

pandas 3.1.0rc0

We are pleased to announce a release candidate for pandas 3.1.0.

See the whatsnew for a list of all the changes.

The release can be installed from PyPI:

python -m pip install --upgrade --pre pandas==3.1.0rc0

Or from conda-forge

conda install -c conda-forge/label/pandas_rc pandas==3.1.0rc0

Please report any issues with the release candidate on the pandas issue tracker.

Thanks to all the contributors who made this release possible.

pandas 3.0.6

We are pleased to announce the release of pandas 3.0.6. This is a patch release in the 3.0.x series and includes some regression fixes and bug fixes. We recommend that all users of the 3.0.x series upgrade to this version. This is also the first release to support Python 3.15.

See the full whatsnew for a list of all the changes.

Pandas 3.0 supports Python 3.11 and higher. The release can be installed from PyPI:

python -m pip install --upgrade pandas==3.0.*

... (truncated)

Commits
  • c6f4676 RLS: 3.1.0
  • dd69475 Backport PR #71468 on branch 3.1.x (DOC: 3.1 whatsnew: add some structure to ...
  • 4ccc19a Backport PR #71465 on branch 3.1.x (DOC: update announce (contributor listing...
  • 24dae63 [backport 3.1.x] DOC: cleanup 3.1.0 whatsnew (#71408) (#71466)
  • 8519ca6 [backport 3.1.x] CI: temporary pin dateutil to <3 (#71461) (#71464)
  • 2126193 Backport PR #71387 on branch 3.1.x (BUG: fix string regex operations with $ e...
  • 4700f5d Backport PR #71442 on branch 3.1.x (BUG: parallel read_csv raising released m...
  • 08efb14 Backport PR #71456 on branch 3.1.x (TST: Fix test_reduce_array until reduct...
  • ee8dcb7 Backport PR #71429 on branch 3.1.x (DOC: add dedicated 3.1 whatsnew section f...
  • d93e32c Backport PR #71383 on branch 3.1.x (BUG: fix string regex operations with Pyt...
  • Additional commits viewable in compare view

Updates playwright from 1.64.0 to 1.64.1

Release notes

Sourced from playwright's releases.

v1.64.1

Highlights

microsoft/playwright-python#3283 - chore: roll Node.js to 24.22.1

The bundled Node.js 24.22.1 is a security release that distrusts the compromised eMudhra intermediate CAs. The driver uses Node's CA store for its own TLS connections, for example connect_over_cdp to a wss:// endpoint.

Browser Versions

  • Chromium 156.0.8078.4
  • Mozilla Firefox 157.0
  • WebKit 27.2

This version was also tested against the following stable channels:

  • Google Chrome 155
  • Microsoft Edge 155
Commits

Updates aiohttp from 3.14.3 to 3.14.5
Updates datasketch from 1.6.5 to 2.0.0

Release notes

Sourced from datasketch's releases.

v2.0.0

What's Changed

Version 2.0.0 changes the default MinHash permutation scheme to "affine32", which fixes a similarity over-estimation bias on large sets (ekzhu/datasketch#212), halves sketch memory, and speeds up updates by roughly 4x. A 64-bit "affine64" scheme is available for billion-scale sets. Hash values differ from earlier versions: rebuild persisted sketches and LSH indexes, or pass MinHash(..., scheme="legacy") to interoperate with existing data. See the MinHash documentation for details.

Full Changelog: ekzhu/datasketch@v1.10.0...v2.0.0

v1.10.0

What's Changed

New Contributors

Full Changelog: ekzhu/datasketch@v1.9.0...v1.10.0

v1.9.0

What's Changed

Full Changelog: ekzhu/datasketch@v1.8.0...v1.9.0

v1.8.0

What's Changed

... (truncated)

Commits
  • 3da96a5 Bump pillow from 11.3.0 to 12.2.0 in the uv group across 1 directory (#324)
  • 7c08d39 Bump codecov/codecov-action from 6 to 7 (#321)
  • 24e27cd Add affine MinHash permutation schemes; refresh benchmarks and docs (#323)
  • 8d4bda1 Bump actions/checkout from 6 to 7 (#322)
  • f84c431 Preserve custom hash functions in sketch unions (#318)
  • 2d3655f Fix WeightedMinHash input mutation (#317)
  • c7c8df0 Add Python 3.10+ version constraints and GitHub workflow permissions (#316)
  • 0f2b554 Bump version from 1.9.0 to 1.10.0 (#315)
  • 8489173 Move AsyncMinHashLSH from experimental to datasketch.aio (#314)
  • 785c4b3 Pin transitive dependencies to avoid dependabot uv.lock-only PRs (#312)
  • Additional commits viewable in compare view

Updates redis from 7.0.1 to 8.1.0

Release notes

Sourced from redis's releases.

8.1.0

Changes

✨ Highlights

Async maintenance notifications

redis-py now supports server-pushed maintenance notifications in the asyncio stack for both standalone and cluster clients, bringing the async client to parity with the sync implementation. When a Redis deployment signals maintenance events (such as node migration or failover windows), the async client reacts through the maintenance-notifications handler (redis/maint_notifications.py and its async integration under redis/asyncio/), allowing applications to adapt connection handling during maintenance without downtime. (#4177)

Expanded command coverage

This release adds a batch of new command surfaces across core data types and modules:

  • Lists — LMOVEM / BLMOVEM for moving multiple elements between lists (#4174).
  • Sets — SDIFFCARD and SUNIONCARD cardinality commands (#4171).
  • Streams — MAXCOUNT / MAXSIZE options for XREAD and XREADGROUP (#4173).
  • Time Series — TS.READ (#4170), TS.QUERYLABELS (#4197), TS.NRANGE / TS.NREVRANGE (#4163), and an exclude_empty (EXCLUDEEMPTY) option for TS.MRANGE / TS.MREVRANGE (#4188).
  • Search — FT.ALIASLIST (#4198) and a COLLECT reducer for aggregations (#4179).
  • Sentinel — replica sentinel aliases (#4127).

🚀 New Features

  • Add replica sentinel aliases (#4127)
  • Add TS.NRANGE and TS.NREVRANGE support to the timeseries command surface (#4163)
  • feat: add TS.READ command support to the timeseries module (#4170)
  • feat: add SDIFFCARD and SUNIONCARD command support (#4171)
  • feat: add MAXCOUNT/MAXSIZE support to XREAD and XREADGROUP (#4173)
  • feat: add LMOVEM and BLMOVEM commands for moving multiple list elements (#4174)
  • feat: add async maintenance-notifications support for standalone and cluster clients (#4177)
  • feat: add COLLECT reducer support to search aggregations (#4179)
  • feat: add exclude_empty (EXCLUDEEMPTY) option to TS.MRANGE and TS.MREVRANGE (#4188)
  • feat: add TS.QUERYLABELS support to the timeseries command surface (#4197)
  • feat: add FT.ALIASLIST support (#4198)

⚠️ Experimental

  • feat: add client-side HIMPORT fieldset support for standalone and cluster clients (#4205)

The feature considered unstable and public API might be changed in the future minor version

🐛 Bug Fixes

  • fix: detect closed pooled connection without consuming pending push data (RESP3 + hiredis) (#4156)
  • Fix Sentinel pool capacity loss after failover (#4193)

... (truncated)

Commits
  • e013126 Testing with 8.10 GA (#4227)
  • 059d1e9 Fixed TS.NRANGE commands to correctly apply aggregators (#4225)
  • d486a0a Fix FIELDNAME alias dropping first character of un-prefixed fields (#4224)
  • fb93104 feat: add client-side HIMPORT fieldset support for standalone and cluster cli...
  • 9197609 Fix lat/lon swap in search querystring geo() helper (#4223)
  • 14714a0 fix: Fixed double decoding issue with unquote() (#4222)
  • 227280a Update lib version to 8.1.0
  • 88d16d0 Decode ACL LOG string values on the default RESP3 legacy callback (#4201)
  • 599fd75 feat: add FT.ALIASLIST support (#4198)
  • 71e275e test: add VectorField RERANK serialization tests for sync and async search (#...
  • Additional commits viewable in compare view

Updates python-dateutil from 2.9.0.post0 to 3.0.0

Release notes

Sourced from python-dateutil's releases.

3.0.0

This is the last major version of dateutil that will support any version of Python older than 3.11. The next release will be the 4.x series, which will support Python 3.11 and later. We may release fixes for serious bugs in the 3.0.x series, but there are no plans for new features there.

The biggest change in this release is a rewrite of tz.tzfile, which affects nearly every user of dateutil.tz and changes the UTC offset of nonexistent times (see below). dateutil also now depends on the tzdata package, and no longer ships its own time zone database.

Data updates

  • dateutil no longer bundles a copy of the IANA time zone database. Time zone data now comes from the system (see dateutil.tz.TZPATH) or, failing that, from the new tzdata dependency, so the data version is whatever version of tzdata is installed. (gh pr #1130)

Features

  • Rewrote tz.tzfile based on a backport of the zoneinfo module's pure-Python implementation. This adds support for Version 2 and Version 3 tzfile(5) binaries, resolving issues with timestamps beyond 2038 and "slim" format binaries. (gh issues #462, #1059, gh pr #1130)
  • Added dateutil.tz.TZPATH and dateutil.tz.reset_tzpath to allow for runtime configuration of the IANA time zone data search path. These replace the mutable dateutil.tz.TZPATHS list, which has been removed. (gh pr #1130)
  • dateutil now depends on the tzdata package, which gettz consults after the search path and before the Windows registry. On Windows this means that names that are both IANA keys and Windows time zone names, such as "UTC", now return a tzfile rather than a tzwin. (gh pr #1130)

Bugfixes

  • tz.tzfile now follows PEP 495 for times that fall in a gap: with fold=0 it uses the offset from before the transition, and with fold=1 the offset from after it. Previously it always used the offset from after the transition, so for example datetime(2003, 4, 6, 2, 30, tzinfo=tz.gettz("America/New_York")) had a UTC offset of -04:00, where it now has -05:00, the same as with zoneinfo. (gh pr #1130)
  • tz.tzfile objects for fixed-offset zones, such as tz.gettz("UTC"), now return their offset, DST offset and abbreviation when utcoffset, dst and tzname are called with None, as tz.tzutc, tz.tzoffset and zoneinfo.ZoneInfo do. This means that datetime.time objects with such a zone attached are now aware: time(12, tzinfo=tz.gettz("UTC")).isoformat() is now "12:00:00+00:00" rather than "12:00:00". (gh pr #1130)
  • tz.tzfile now infers dst() from the standard time on both sides of each DST period, rather than only the one before it, and does so for each transition rather than for each local time type. This fixes dst() for double summer time (e.g. in Europe/London in the 1940s), for half-hour DST (e.g. in Pacific/Rarotonga) and where the standard offset changed at the same time as a DST transition (e.g. in America/Bahia_Banderas in 2010). Against the standard offsets in the tz database source, the only remaining errors are in Europe/Paris in 1944 and 1945. (gh pr #1130)
  • Fixed rrulestr raising ValueError on experimental X- parameters in an RRULE line (such as GNOME Evolution's X-EVOLUTION-ENDDATE); these are now ignored as RFC 5545 permits. Fixed by @​yajo (gh pr #1374)
  • Enabled pickling and deepcopy of cached rrule and rruleset instances. The cache setting is preserved, and cached results are regenerated on demand without copying locks or generators. Reported by @​niccokunzmann (gh issue #1369). Fixed by @​Jay1023CN (gh pr #1600).
  • Fixed relativedelta.__ne__ raising TypeError when comparing against an unsupported type such as None; it now returns True. Reported and fixed by @​kevinkt1 (gh issue #1157, gh pr #1158)
  • Raised the minimum version of six to 1.6, fixing No module named 'six.moves' errors with older versions. Reported by @​skytreader (gh issue #1415), fixed by @​jdarias3 (gh pr #1424).

Deprecations

  • Deprecated the dateutil.zoneinfo module. The module now acts as a wrapper around the tzdata package and will be removed in a future version. Users are encouraged to migrate to dateutil.tz.gettz or the standard library's zoneinfo module. dateutil.zoneinfo.rebuild.rebuild no longer does anything, and by default raises RebuildDeprecationWarning as an error; filter the warning to call it as a no-op. (gh pr #1130)
  • Deprecated passing gettz a relative key that refers to a file outside of every directory on TZPATH, such as "../../etc/localtime". By default this now raises dateutil.tz.DeprecatedTzKeyWarning as an error; filter the warning to keep the old behavior for now, or pass an absolute path instead. (gh pr #1130)

Documentation changes

  • Added intersphinx to the docs build and cleaned up some broken links. (gh pr #1463)

Misc

Changelog

Sourced from python-dateutil's changelog.

Version 3.0.0 (2026-10-21)

This is the last major version of dateutil that will support any version of Python older than 3.11. The next release will be the 4.x series, which will support Python 3.11 and later. We may release fixes for serious bugs in the 3.0.x series, but there are no plans for new features there.

The biggest change in this release is a rewrite of tz.tzfile, which affects nearly every user of dateutil.tz and changes the UTC offset of nonexistent times (see below). dateutil also now depends on the tzdata package, and no longer ships its own time zone database.

Data updates

  • dateutil no longer bundles a copy of the IANA time zone database. Time zone data now comes from the system (see dateutil.tz.TZPATH) or, failing that, from the new tzdata dependency, so the data version is whatever version of tzdata is installed. (gh pr #1130)

Features

  • Rewrote tz.tzfile based on a backport of the zoneinfo module's pure-Python implementation. This adds support for Version 2 and Version 3 tzfile(5) binaries, resolving issues with timestamps beyond 2038 and "slim" format binaries. (gh issues #462, #1059, gh pr #1130)
  • Added dateutil.tz.TZPATH and dateutil.tz.reset_tzpath to allow for runtime configuration of the IANA time zone data search path. These replace the mutable dateutil.tz.TZPATHS list, which has been removed. (gh pr #1130)
  • dateutil now depends on the tzdata package, which gettz consults after the search path and before the Windows registry. On Windows this means that names that are both IANA keys and Windows time zone names, such as "UTC", now return a tzfile rather than a tzwin. (gh pr #1130)

Bugfixes

  • tz.tzfile now follows PEP 495 for times that fall in a gap: with fold=0 it uses the offset from before the transition, and with fold=1 the offset from after it. Previously it always used the offset from after the transition, so for example datetime(2003, 4, 6, 2, 30, tzinfo=tz.gettz("America/New_York")) had a UTC offset of -04:00, where it now has -05:00, the same as with zoneinfo. (gh pr #1130)
  • tz.tzfile objects for fixed-offset zones, such as tz.gettz("UTC"), now return their offset, DST offset and abbreviation when utcoffset, dst and tzname are called with None, as tz.tzutc, tz.tzoffset and

... (truncated)

Commits
  • 10f317f Prepare release 3.0.0
  • fabac8d Run the tests against a wheel built once on a recent Python
  • 21b6862 Allow pickling and deepcopy of cached recurrence rules (#1600)
  • bd5fd88 Remove deprecated setuptools usage from the build
  • 962f0a5 Don't fetch an unpinned setuptools_scm via setup_requires
  • db944cf Update the Python version classifiers
  • 3b07521 Test on Python 3.14t, 3.15 and 3.15t
  • 6899421 Fix dateutil/dateutil#1157
  • bc90ab4 Use trusted publishing to upload to PyPI
  • 950abb6 fix(rrule): don't die on experimental properties
  • Additional commits viewable in compare view

Updates pydantic from 2.13.5 to 2.14.1

Release notes

Sourced from pydantic's releases.

v2.14.1 2026-10-11

What's Changed

Performance

  • Avoid Python tuple allocation during model fields validation by @​Viicos in #13955
  • Avoid unnecessary extra dict allocation in model validation by @​Viicos in #13956

Fixes

Full Changelog: pydantic/pydantic@v2.14.0...v2.14.1

v2.14.0 2026-10-08

What's Changed

The highlights of the v2.14 release are available in the blog post. Several minor changes (considered non-breaking changes according to our versioning policy) are also included in this release. Make sure to look into them before upgrading.

This release drops support for Python 3.9 and adds support for Python 3.15.

New Features

  • Add support for multiple_of constraint in fraction and timedelta core schemas by @​Viicos in #13873
  • Add __namespace__ parameter to create_model() by @​Viicos in #13895

Changes

Fixes

  • Call enum constructors in both validation modes by @​Viicos in #13792
  • Fix documentation examples not raising and remove unused string_sub_type unused error code by @​Viicos in #13821
  • Catch OverflowError during ByteSize validation by @​Viicos in #13850
  • Require multiple_of constraints to be positive by @​Viicos in #13862
  • Always pop field name and model type stacks during schema generation by @​saquibjawedbit in #13859
  • Handle TypeError gracefully during docstring extraction by @​Viicos in #13874
  • Fix config propagation of stdlib dataclasses and TypedDicts in JSON Schema by @​Viicos in #13891
  • Don't apply ser_json_timedelta to all datetime types in serialization inference by @​Viicos in #13892
  • Encode JSON Schema defaults with a consistent configuration by @​Viicos in #13893

... (truncated)

Changelog

Sourced from pydantic's changelog.

v2.14.0 (2026-10-08)

GitHub release

What's Changed

The highlights of the v2.14 release are available in the blog post. Several minor changes (considered non-breaking changes according to our versioning policy) are also included in this release. Make sure to look into them before upgrading.

This release drops support for Python 3.9 and adds support for Python 3.15.

New Features

  • Add support for multiple_of constraint in fraction and timedelta core schemas by @​Viicos in #13873
  • Add __namespace__ parameter to create_model() by @​Viicos in #13895

Changes

Fixes

  • Call enum constructors in both validation modes by @​Viicos in #13792
  • Fix documentation examples not raising and remove unused string_sub_type unused error code by @​Viicos in #13821
  • Catch OverflowError during ByteSize validation by @​Viicos in #13850
  • Require multiple_of constraints to be positive by @​Viicos in #13862
  • Always pop field name and model type stacks during schema generation by @​saquibjawedbit in #13859
  • Handle TypeError gracefully during docstring extraction by @​Viicos in #13874
  • Fix config propagation of stdlib dataclasses and TypedDicts in JSON Schema by @​Viicos in #13891
  • Don't apply ser_json_timedelta to all datetime types in serialization inference by @​Viicos in #13892
  • Encode JSON Schema defaults with a consistent configuration by @​Viicos in #13893
  • Propagate init and kw_only=False from Field() to stdlib dataclass fields by @​Viicos in #13898
  • Respect propagated extra config in the JSON Schema of stdlib dataclasses by @​Viicos in #13899
  • Handle OS errors during ZoneInfo validation by @​Viicos in #13912
  • Handle exceptions during Decimal validation by @​Viicos in #13940
  • Rebuild incomplete types during serialization inference by @​Viicos in #13922
  • Reject large exponents in Fraction validation by @​Viicos in #13944
  • Avoid validating URL prefix multiple times in multi host URLs by @​Viicos in #13945

New Contributors

... (truncated)

Commits
  • b2212c7 Prepare release v2.14.1
  • 968fb2b Fix docs conversion table
  • 6adc8b3 Support named tuples in Sequence validation
  • 7637fbc Reject out-of-range int inputs for timedelta
  • dfdbfcb Enforce the max_digits whole-digits limit in the Python Decimal validator
  • e2456d3 Support closed and extra_items via inheritance in TypedDict
  • 317655d Harden CI security
  • 3ba1dd4 Fix TypeError on ForwardRef on Python 3.10.0
  • 43681ab Bump samuelcolvin/check-python-version action to v5.1
  • d6bc53a Avoid unnecessary extra dict allocation in model validation
  • Additional commits viewable in compare view

Updates transformers from 5.3.0 to 5.20.2

Release notes

Sourced from transformers's releases.

Patch release v5.20.2

Patch release: v5.20.2

This patch notably solves an issue where some inputs could loose their original type inside prepare_inputs_for_generation in generate, leading to problems with multimodal models. It also fixes some other issues listed on the below commits.

It contains the following commits:

Release v5.20.1

Special surprise including the new model Beam from Reflection AI 🥳

Beam is a token-efficient, frontier-scale model focused on coding and agentic use cases. It is built for teams that want to run a powerful model on their own hardware, infrastructure, or cloud, and customize it to their specific needs.

Links: Documentation

Some real patch fixes

We broke loading models on older torch versions 😢 should be fixed now. But here is the full list of fixes

Full Changelog: huggingface/transformers@v5.20.0...v5.20.1

Release v5.20.0

New Model additions

Muse Spark Open

Muse Spark Open is a multimodal mixture-of-experts model from Meta that takes text, images, audio, and video as input and generates text. It has 816B total parameters (42B active per token) and a context window of up to 1,048,576 tokens shared across modalities. It is trained for agentic coding tasks such as multi-file editing, debugging, and tool use. Checkpoints are available in BF16 and NVFP4 formats.

Links: Documentation | Blog Post

... (truncated)

Commits
  • 18329f1 Release: v5.20.2
  • 2ce3082 Avoid a host-to-device copy in eager_mask (#49684)
  • 62bc6fd Declare the input modalities of the VLMs that report text only (#49677)
  • 30f4e38 Fix zero expert gradients in bfloat16 with expert parallelism and ep_size < f...
  • ce8231f Fix inputs dict casting in generate (#49731)
  • 0ea8779 v5.20.1
  • de4f35f Fix small bug in auto mappings (#49664)
  • 759c538 Make DtensorShardOperation work on torch 2.6 and 2.7 (#49657)
  • c180e2d Fix from_pretrained on torch 2.7: require torch>=2.8 for distributed checkpoi...
  • 10d36aa Fix DeepGEMM Mega MoE under expert parallelism (#49428)
  • Additional commits viewable in compare view

Updates sentence-transformers from 6.1.0 to 6.2.0

Release notes

Sourced from sentence-transformers's releases.

v6.2.0 - Model merging, faster loading, and distributed evaluation

This release adds model merging for all four model types, reduces redundant Hub requests when loading models, and distributes evaluator inference across DDP ranks. It also includes lower-memory training losses, more flexible multi-vector compression, and fixes throughout inference, training, and evaluation.

Install this version with

# Inference only, use one of:
pip install sentence-transformers==6.2.0
pip install sentence-transformers[openvino]==6.2.0
Multimodal dependencies (optional):
pip install sentence-transformers[image]==6.2.0
pip install sentence-transformers[audio]==6.2.0
pip install sentence-transformers[video]==6.2.0
Training + Inference
pip install sentence-transformers[train]==6.2.0
pip install sentence-transformers[merge]==6.2.0
Or combine as needed:
pip install sentence-transformers[train,image]==6.2.0

Model merging for all four model types (#3776)

Combine compatible fine-tuned checkpoints without another training run using SentenceTransformer.merge, SparseEncoder.merge, CrossEncoder.merge, or MultiVectorEncoder.merge. The integration uses Arcee AI's mergekit and supports well over a dozen methods such as Linear, SLERP, TIES, and DARE.

Install the merge extra with pip install "sentence-transformers[merge]". For example, take a weighted average of two compatible MiniLM models:

f...
Description has been truncated

@dependabot
Bump the pip-dependencies group in /Scraping_project with 11 updates
1cad73b 
---
updated-dependencies:
- dependency-name: pandas
  dependency-version: 3.1.0
  dependency-type: direct:production
  update-type: version-update:semver-major
  dependency-group: pip-dependencies
- dependency-name: playwright
  dependency-version: 1.64.1
  dependency-type: direct:production
  update-type: version-update:semver-patch
  dependency-group: pip-dependencies
- dependency-name: aiohttp
  dependency-version: 3.14.5
  dependency-type: direct:production
  update-type: version-update:semver-patch
  dependency-group: pip-dependencies
- dependency-name: datasketch
  dependency-version: 2.0.0
  dependency-type: direct:production
  update-type: version-update:semver-major
  dependency-group: pip-dependencies
- dependency-name: redis
  dependency-version: 8.1.0
  dependency-type: direct:production
  update-type: version-update:semver-major
  dependency-group: pip-dependencies
- dependency-name: python-dateutil
  dependency-version: 3.0.0
  dependency-type: direct:production
  update-type: version-update:semver-major
  dependency-group: pip-dependencies
- dependency-name: pydantic
  dependency-version: 2.14.1
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: pip-dependencies
- dependency-name: transformers
  dependency-version: 5.20.2
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: pip-dependencies
- dependency-name: sentence-transformers
  dependency-version: 6.2.0
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: pip-dependencies
- dependency-name: pytest-asyncio
  dependency-version: 1.4.1
  dependency-type: direct:development
  update-type: version-update:semver-patch
  dependency-group: pip-dependencies
- dependency-name: ruff
  dependency-version: 0.17.2
  dependency-type: direct:development
  update-type: version-update:semver-patch
  dependency-group: pip-dependencies
...

Signed-off-by: dependabot[bot] <support@github.com>
@dependabot dependabot Bot added the dependencies Pull requests that update a dependency file label Oct 29, 2026
@dependabot dependabot Bot added the python Pull requests that update python code label Oct 29, 2026
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@BenjaminSRussell BenjaminSRussell Awaiting requested review from BenjaminSRussell BenjaminSRussell is a code owner

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