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Bumps the minor-and-patch group with 15 updates in the / directory:

Package From To
uvicorn 0.49.0 0.52.4
pydantic 2.13.4 2.13.5
python-dotenv 1.2.2 1.2.3
tiktoken 0.13.0 0.14.0
python-telegram-bot 22.7 22.8
pydantic-settings 2.14.1 2.15.0
aiohttp 3.14.0 3.14.3
grpcio 1.81.0 1.83.1
nvidia-riva-client 2.26.0 2.27.0
torch 2.12.0+cu130 2.13.0
transformers 5.10.2 5.16.1
accelerate 1.13.0 1.14.0
pytest 9.0.3 9.1.1
ty 0.0.44 0.0.76
ruff 0.15.16 0.16.5

Updates uvicorn from 0.49.0 to 0.52.4

Release notes

Sourced from uvicorn's releases.

Version 0.52.4

Fixed

  • Remove duplicate Date headers from accepted WebSocket handshakes with websockets-sansio (#3078)

Full Changelog: Kludex/uvicorn@0.52.3...0.52.4

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

Version 0.52.2

Fixed

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

Full Changelog: Kludex/uvicorn@0.52.1...0.52.2

Version 0.52.1

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)

Full Changelog: Kludex/uvicorn@0.52.0...0.52.1

Version 0.52.0

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)

Full Changelog: Kludex/uvicorn@0.51.0...0.52.0

Version 0.51.0

What's Changed

... (truncated)

Changelog

Sourced from uvicorn's changelog.

0.52.4 (August 18, 2026)

Fixed

  • Remove duplicate Date headers from accepted WebSocket handshakes with websockets-sansio (#3078)

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)

... (truncated)

Commits

Updates pydantic from 2.13.4 to 2.13.5

Release notes

Sourced from pydantic's releases.

v2.13.5 (2026-08-28)

What's Changed

Fixes

  • Allow reuse of validators when plugins are set by @​Viicos in #13535
  • Fix missing GC traversal on some pydantic-core struct fields by @​Viicos in #13624
  • Fix missing GC traversal in pydantic-core for GeneralFieldsSerializer by @​Viicos in #13629
  • Count validated model fields once in smart unions by @​tamird in #13731
Changelog

Sourced from pydantic's changelog.

v2.13.5 (2026-08-28)

GitHub release

What's Changed

Fixes

  • Allow reuse of validators when plugins are set by @​Viicos in #13535
  • Fix missing GC traversal on some pydantic-core struct fields by @​Viicos in #13624
  • Fix missing GC traversal in pydantic-core for GeneralFieldsSerializer by @​Viicos in #13629
  • Count validated model fields once in smart unions by @​tamird in #13731
Commits
  • 001dea0 Bump pypa/gh-action-pypi-publish action to v1.14.2
  • 558379f Bump twine to v7.0.0
  • 2cfd5d3 Do not check for docs build
  • a735bee Fix more Clippy lints
  • 7eed4a1 Fix Clippy 0.1.95 warnings
  • b353bbb Prepare release v2.13.5
  • 63d2ccc Count validated model fields once in smart unions
  • a53ec2e Speed up PyPy CI tests
  • d65e0f9 Workaround circular import error in Mypy
  • 47a6dbf Fix missing GC traversal in pydantic-core for GeneralFieldsSerializer
  • Additional commits viewable in compare view

Updates python-dotenv from 1.2.2 to 1.2.3

Release notes

Sourced from python-dotenv's releases.

v1.2.3

Fixed

  • Strip a leading UTF-8 BOM from .env file contents so the first variable is no longer silently lost when the file is saved with BOM (e.g. by some JetBrains IDEs on Windows) by [@​h1whelan] in #640
  • set_key now escapes backslashes, so values containing them (Windows paths, regular expressions) survive a write/read round-trip. Quoted values ending in an escaped backslash are no longer mis-parsed as an escaped quote, which used to swallow the following lines by [@​dchaudhari7177] in #680
  • dotenv run now prints a friendly error instead of a traceback when no command is given by [@​bbc2] in #606
  • Cache the parsed result for empty .env files so repeated dotenv_values/load_dotenv calls no longer re-read the file by [@​ReinerBRO] in #638
Changelog

Sourced from python-dotenv's changelog.

[1.2.3] - 2026-08-16

Fixed

  • Strip a leading UTF-8 BOM from .env file contents so the first variable is no longer silently lost when the file is saved with BOM (e.g. by some JetBrains IDEs on Windows) by [@​h1whelan] in #640
  • set_key now escapes backslashes, so values containing them (Windows paths, regular expressions) survive a write/read round-trip. Quoted values ending in an escaped backslash are no longer mis-parsed as an escaped quote, which used to swallow the following lines by [@​dchaudhari7177] in #680
  • dotenv run now prints a friendly error instead of a traceback when no command is given by [@​bbc2] in #606
  • Cache the parsed result for empty .env files so repeated dotenv_values/load_dotenv calls no longer re-read the file by [@​ReinerBRO] in #638
Commits
  • 49515af Bump version: 1.2.2 → 1.2.3
  • 8ac846f chore: add release runbook (RELEASING.md) and make release target
  • bb31c94 docs: add 1.2.3 release notes (#606, #638, #680)
  • f7b18d9 fix: round-trip backslashes through set_key (#680)
  • 751f8c1 ci(deps): bump actions/checkout from 6.0.2 to 6.0.3 in the github-actions gro...
  • f1937b6 chore(deps): update mkdocs-include-markdown-plugin requirement from >=6.0.0 t...
  • 45b9372 chore(deps): update pytest requirement from >=3.9 to >=9.0.3 (#653)
  • 72896e9 docs: fix broken mkdocs link in CONTRIBUTING.md (#636)
  • 72754a1 ci(deps): bump peaceiris/actions-gh-pages from 4.0.0 to 4.1.0 in the github-a...
  • 078325e ci(security): harden CI/CD supply chain with SHA pinning and least-privilege ...
  • Additional commits viewable in compare view

Updates tiktoken from 0.13.0 to 0.14.0

Changelog

Sourced from tiktoken's changelog.

[v0.14.0]

  • Build wheels for Python 3.15
  • Support looking up more GPT-5 series models
  • Upgrade dependencies
Commits

Updates python-telegram-bot from 22.7 to 22.8

Release notes

Sourced from python-telegram-bot's releases.

v22.8

We've just released v22.8. Thank you to everyone who contributed to this release. As usual, upgrade using pip install -U python-telegram-bot.

The release notes can be found here.

Commits

Updates pydantic-settings from 2.14.1 to 2.15.0

Release notes

Sourced from pydantic-settings's releases.

v2.15.0

Highlights

Behavior changes

  • case_sensitive now applies to init kwargs and config-file sources (#900). InitSettingsSource and the JSON/TOML/YAML config sources previously ignored case_sensitive. Since it defaults to False, case-insensitive matching is now the default for these sources — e.g. Settings(TeSt=...) now populates a test field where it previously did not. Nested keys are still matched case-sensitively.
  • Fields with unresolved forward references now emit a warning (#901). Settings sources can silently fail to resolve such fields; they now raise IncompleteFieldDefinitionWarning telling you to call model_rebuild(). If you have filterwarnings = error configured, this may surface as a new failure.
  • Non-JSON env values for strict fields now raise ValidationError (#926) instead of a less specific error.

New features

  • Show environment variable names in CLI help via cli_show_env_vars=True (#860), so generated --help output doubles as configuration documentation.
  • PYDANTIC_SETTINGS_DEBUG for debugging settings resolution (#906, #913). Set it to a truthy value with DEBUG logging enabled to see each source's contribution in priority order, which source won for each value, and which env_file/secret files were probed, loaded, or skipped — the long-standing "why isn't my .env being picked up?" question.
  • toml_table_header for regular TOML files (#882, #886, #887), letting you root settings at a nested table in any TOML file, not just pyproject.toml.
  • Traversable support for JSON/TOML/YAML file sources (#902), so you can load config packaged inside a distribution — including files inside a zip or wheel — via importlib.resources.files(...) without casting to Path.
  • GCP: project_id can come from an earlier settings source (#878), rather than only from the constructor or GOOGLE_CLOUD_PROJECT.

Bug fixes

  • Fix env vars not loading on Windows with case_sensitive=True (#894). Windows upper-cases os.environ keys, so fields raised Field required instead of picking up their values.
  • Read secret files as UTF-8 instead of the platform locale encoding (#917). On Windows code pages such as cp1252 this silently corrupted non-ASCII secrets.
  • Fix AliasPath on nested model fields not JSON-decoding env values (#898).
  • Fix case-insensitive matching for optional nested models (#905).
  • Fix dotenv extras being wrongly claimed by a complex field sharing a name prefix (#912) — e.g. dbx_token being swallowed by a db: dict field.
  • Fix nested_model_default_partial_update=True corrupting discriminated unions (#876).
  • Fix Secret subclasses crashing when loaded from the environment (#920).
  • Fix enum names not parsing through nested annotations such as Optional[Annotated[MyEnum, ...]] with env_parse_enums=True (#910).
  • An empty yaml_config_section now falls back to defaults instead of raising AttributeError: 'NoneType' object has no attribute 'keys' (#914).
  • NestedSecretsSettingsSource no longer follows symlinks pointing outside secrets_dir (#889).
  • GCP: skip the list_secrets call when case_sensitive=True (#862), lowering the required IAM permissions to just roles/secretmanager.secretAccessor.
  • AWS: types-boto3[secretsmanager] is no longer required at runtime (#880).

Documentation

  • Document JSON parsing of complex env values, plus a comma-separated-values recipe (#919).
  • Recommend an async settings loading pattern (#908).
  • Clarify behavior when an unprefixed value is present in a dotenv file (#895).
  • Clarify environment variable helper descriptions (#867) and fix assorted typos (#904).

What's Changed

... (truncated)

Commits
  • f725ca1 Prepare release 2.15.0 (#930)
  • 28f35c2 Bump the python-packages group with 4 updates (#929)
  • 9056db0 test: move function-local imports to the top of test modules (#927)
  • f077e3a fix: raise ValidationError for non-JSON env values on strict fields (#926)
  • ae25d70 fix: treat Secret subclasses as non-complex fields (#716) (#920)
  • 798dcea Bump the python-packages group with 4 updates (#924)
  • a190041 Bump the github-actions group with 4 updates (#925)
  • 5d93332 Bump the python-packages group with 4 updates (#921)
  • d2fdeda fix: read secret files as UTF-8 instead of the locale encoding (#917)
  • 2256a4e Bump the python-packages group with 3 updates (#915)
  • Additional commits viewable in compare view

Updates aiohttp from 3.14.0 to 3.14.3
Updates grpcio from 1.81.0 to 1.83.1

Release notes

Sourced from grpcio's releases.

Release v1.83.1

This is release gRPC Core 1.83.1 (garden).

For gRPC documentation, see grpc.io. For previous releases, see Releases.

This release contains refinements, improvements, and bug fixes.

Release v1.83.0

This is release 1.83.0 (garden) of gRPC Core.

For gRPC documentation, see grpc.io. For previous releases, see Releases.

This release contains refinements, improvements, and bug fixes, with highlights listed below.

Core

  • [Security] Default to Post-Quantum Cryptography in TLS key exchange. (#42560)
  • [authz] don't pass RBAC policy by value when constructing authorization engine. (#42636)

C#

  • Migrate CSharp Grpc.Tools to new DotNet Version. (#42661)
  • [C#] Tools - Build: Fix protoc SIGSEGV on ARM64 by aligning max-page-size and migrating to manylinux_2_28. (#42590)

Python

  • [Backport][v1.83.x][Python] grpc-status: Relax protobuf dependency lower bound to allow 6.x. (#43001)
  • [Python] Add abort_with_status to the aio ServicerContext ABC. (#42733)
  • [Python] Update lower bound for protobuf from 6.33.5 to 7.35.1. (#42914)
  • [Python] Pyright typeCheckingMode - standard. (#42739)
  • [Python] Support Python 3.15 - Upgrade bazel dep rules_python to 2.0.2. (#42637)
  • [Python] Hide internal symbols from Python's cygrpc shared object. (#42325)
  • [Python] Handle custom Interceptor exceptions in InterceptedCall APIs . (#42593)

Release v1.83.0-pre1

This is a prerelease of gRPC Core 1.83.0 (garden).

For gRPC documentation, see grpc.io. For previous releases, see Releases.

This prerelease contains refinements, improvements, and bug fixes.

Release v1.82.2

This is release gRPC Core 1.82.2 (glacier).

For gRPC documentation, see grpc.io. For previous releases, see Releases.

... (truncated)

Commits
  • aae2670 [Backport][v1.83.x] Fix legacy_channel.cc compile error with `std::optional<a...
  • b77ea36 [Backport][v1.83.x] Memory optimization (#43297)
  • 9dcd5aa [CI] Fix Python 3.15 Sanity (#43299)
  • ed8899e [Backport][v1.83.x] Fixing bug in GoAway and gRPC Message Compression (#43270)
  • 5f8d6df [Release] Bump version to 1.83.1 (on v1.83.x branch) (#43274)
  • 291e0be [Backport][v1.83.x][Python] Fix the StatusCode Enums to be int (#43252)
  • 05ceb5d [CI][Backport][v1.83.x][Python] Fix PSM Interop xds-v3 Python continuous fail...
  • dbc73b8 [Backport][v1.83.x][PHP]updated workflow to preserve github folder (#43243)
  • c876f4d [Release] Bump version to 1.83.0 (on v1.83.x branch) (#43036)
  • b5c40cd [Backport][v1.83.x][Python] grpc-status: Relax protobuf dependency lower boun...
  • Additional commits viewable in compare view

Updates nvidia-riva-client from 2.26.0 to 2.27.0

Commits

Updates torch from 2.12.0+cu130 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:

... (truncated)

Commits

Updates transformers from 5.10.2 to 5.16.1

Release notes

Sourced from transformers's releases.

Release v5.16.1

This is a special release as we include GLM! (and a few small fixes)

GLM-5.3-Flash

GLM-5.3-Flash, the first natively multimodal model in the GLM-5 series. With 320B total parameters and just 18B active parameters, it outperforms GLM-5.2 across benchmarks and real-world workloads at one-tenth the price, while approaching Claude Opus 4.8 on coding and agentic benchmarks.

GLM-5.3-Flash starts from a newly trained base model, with its architecture and training recipe redesigned around capability and efficiency. For the first time in the GLM series, we introduce a hybrid architecture combining sparse and linear attention, sharply reducing long-context serving costs while preserving precise long-context capabilities. The model also adopts Manifold-Constrained Hyper-Connections (mHC) to further improve scaling efficiency. Together with our latest 30T-token multimodal pre-training corpus, these changes enable GLM-5.3-Flash to deliver more intelligence with less compute.

Links: Documentation

Small patch fixes

Mainly BC behavior for TP and pinning a hf kernel for security reasons 🤗

Full Changelog: huggingface/transformers@v5.16.0...v5.16.1

Release: v5.16.0

Release v5.16.0

New Model additions

Qwen4-Exp

Qwen4-Exp builds on Qwen3.5's hybrid text and multimodal architecture with three key components: GatedResidual (GR), Qwen Sparse Attention (QSA), and Per-Layer Embedding (PLE).

GR is a Qwen-developed residual architecture that combines Hyper-Connection with GatedNorm. It mixes multiple residual streams with fine-grained elementwise gating before each attention and Mixture-of-Experts (MoE) block, then controls how much of the block output is injected back into each stream.

QSA uses multiple query heads to score compressed key blocks, selects the most relevant contiguous token blocks, and keeps the incomplete trailing block uncompressed. This block-level selection reduces indexing overhead and improves memory locality for long sequences. Combined with Gated DeltaNet, QSA makes Qwen4-Exp the first hybrid architecture to integrate linear and sparse attention, substantially improving inference efficiency for long-context workloads.

PLE enriches selected decoder layers with layer-specific lexical features derived from hashed token n-grams and a dilated depthwise convolution.

Links: Documentation

GraniteSpeech5

... (truncated)

Commits

Updates accelerate from 1.13.0 to 1.14.0

Release notes

Sourced from accelerate's releases.

v1.14.0: AMD ROCm support, FSDP2 hardening

FSDP2 Improvements

This release brings a large batch of FSDP2 fixes and quality-of-life improvements: correct dtype handling on load, sharding of embeddings/norms, QLoRA crash prevention, and a more robust auto-wrap policy.

  • Fsdp2 fully_shard embedding and norm by @​SunMarc in #4015
  • Fix fsdp2 load full state dict dtype mismatch by @​SunMarc in #4021
  • Fix region compilation fsdpv2 by @​SunMarc in #4022
  • [FSDP2] Cast model to uniform dtype before fully_shard to fix mixed-dtype AssertionError by @​roycho96 in #3985
  • [FSDP2] Auto-exclude non-floating frozen Params4bit from fully_shard to prevent QLoRA crash by @​roycho96 in #3987
  • fix(FSDP2): auto-wrap policy ignoring _no_split_modules fallback by @​JohnGiorgi in #3999
  • fix: use key-based matching in fsdp2_load_full_state_dict by @​roycho96 in #3982
  • fix: add missing model_has_params4bit guard to fsdp2_load_full_state_dict call by @​roycho96 in #3981
  • Fix to-fsdp2: drop REMOVED / NOT_YET_IMPLEMENTED FSDP1 keys instead of leaking them by @​lollinng in #4065
  • Prevent double-wrapping models in prepare_model() by @​joshuaswanson in #3977

AMD ROCm support

Accelerate now works end-to-end on AMD ROCm devices. Thanks @​Abdennacer-Badaoui!

Neuron

Further Neuron improvements to reduce recompilation and cover missing device cases.

Quantization & Offloading

We improved offloading support for quantized models, including Torchao, int8, and tied-weight handling.

Data Loading

  • Feat: Support dynamic batch size in BatchSamplerShard with even_batches by @​yuxinyuan in #3969
  • Fix iterable dataset sharding condition when n_shards == num_processes by @​SunMarc in #3958
  • Fix implicit padding in split_between_processes when apply_padding=False and num_samples < num_processes by @​3manifold in #4052

Minor fixes

... (truncated)

Commits
  • beb0672 Release: v1.14.0
  • a5cb37c Fix all tests (#4072)
  • 14d7cdc Support dynamic batch size in BatchSamplerShard with even_batches (#3969)
  • 77eb5cf fix(tracker): guard init_trackers and log against None kwargs (#4026)
  • 379c8e0 fix(security): remediate workflow vulnerability in .github/workflows/build-do...
  • 61e6420 Fix to-fsdp2: actually drop REMOVED / NOT_YET_IMPLEMENTED FSDP1 keys (#4065)
  • b120c1f tests: Gracefully handle missing set_device for mps (#4028)
  • 418015a test: add regression test for no_split_module_classes accepting set type (#4048)
  • 3f1acf8 Bump the actions group with 8 updates (#4068)
  • a2e5292 docs: add aggregate profiler memory example (#4054)
  • Additional commits viewable in compare view

Updates pytest...

Description has been truncated

@dependabot
build(deps): bump the minor-and-patch group across 1 directory with 1…
15d7fdd 
…5 updates

---
updated-dependencies:
- dependency-name: uvicorn
  dependency-version: 0.52.4
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: minor-and-patch
- dependency-name: pydantic
  dependency-version: 2.13.5
  dependency-type: direct:production
  update-type: version-update:semver-patch
  dependency-group: minor-and-patch
- dependency-name: python-dotenv
  dependency-version: 1.2.3
  dependency-type: direct:production
  update-type: version-update:semver-patch
  dependency-group: minor-and-patch
- dependency-name: tiktoken
  dependency-version: 0.14.0
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: minor-and-patch
- dependency-name: python-telegram-bot
  dependency-version: '22.8'
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: minor-and-patch
- dependency-name: pydantic-settings
  dependency-version: 2.15.0
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: minor-and-patch
- dependency-name: aiohttp
  dependency-version: 3.14.3
  dependency-type: direct:production
  update-type: version-update:semver-patch
  dependency-group: minor-and-patch
- dependency-name: grpcio
  dependency-version: 1.83.1
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: minor-and-patch
- dependency-name: nvidia-riva-client
  dependency-version: 2.27.0
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: minor-and-patch
- dependency-name: torch
  dependency-version: 2.13.0
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: minor-and-patch
- dependency-name: transformers
  dependency-version: 5.16.1
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: minor-and-patch
- dependency-name: accelerate
  dependency-version: 1.14.0
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: minor-and-patch
- dependency-name: pytest
  dependency-version: 9.1.1
  dependency-type: direct:development
  update-type: version-update:semver-minor
  dependency-group: minor-and-patch
- dependency-name: ty
  dependency-version: 0.0.76
  dependency-type: direct:development
  update-type: version-update:semver-patch
  dependency-group: minor-and-patch
- dependency-name: ruff
  dependency-version: 0.16.5
  dependency-type: direct:development
  update-type: version-update:semver-minor
  dependency-group: minor-and-patch
...

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@dependabot dependabot Bot added dependencies Pull requests that update a dependency file python:uv Pull requests that update python:uv code labels Sep 3, 2026
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