[dependabot]

Bumps the python-dependencies group with 7 updates in the / directory:

Package	From	To
click	8.4.2	8.5.0
anthropic	1.0.0	1.5.0
openai	3.3.1	3.13.0
google-genai	2.19.0	2.23.0
torch	2.13.0	2.14.0
transformers	5.15.1	5.17.0
accelerate	1.14.0	1.15.0

Updates click from 8.4.2 to 8.5.0

Release notes

Sourced from click's releases.

8.5.0

This is the Click 8.5.0 feature release. A feature release may include new features, remove previously deprecated code, add new deprecation, or introduce potentially breaking changes.

We encourage everyone to upgrade. You can read more about our Version Support Policy on our website.

PyPI: https://pypi.org/project/click/8.5.0/ Changes: https://click.palletsprojects.com/page/changes/#version-8-5-0 Milestone https://github.com/pallets/click/milestone/33

• Add built-in shell completion support for PowerShell (Windows PowerShell 5.1+ and pwsh 7+) alongside the existing bash, zsh, and fish completers. Use _FOO_BAR_COMPLETE=powershell_source foo-bar to generate the completion script. #2672 #3637
• Supported versions of Windows enable ANSI terminal styles by default. Colorama is no longer a dependency and is not used. #2986 #3505
• {class}Argument accepts a help parameter, and help output includes a Positional arguments section when argument help is available. #2983 #3473
• confirm() and prompt() strip ANSI color and style codes from the prompt when the output stream does not support them, matching echo(). This stripping was lost in 8.4.0 when #2969 began writing the prompt with input() directly. #3572 #3653
• {class}Path with allow_dash=True no longer triggers a BytesWarning, an error under python -bb, when checking a value against the - convention. #2877 #3642
• Add {func}custom_version_option, a --version option whose output is produced by a callback, covering cases {func}version_option intentionally does not. The feature set of {func}version_option is now frozen; see [discussion #3527](https://github.com/pallets/click/discussions/3527). #3581
• style() and secho() no longer silently drop the 256-color index 0 (black) passed as fg or bg, and now validate color arguments. Invalid colors raise a ValueError instead of a TypeError. #3677
• The automatic help option stores its value under the reserved name _click_default_help instead of help, so a parameter named help no longer breaks parsing. The new name is visible in {meth}Command.to_info_dict output. Parameters that overwrite each other's value trigger a warning: an argument sharing its name with another parameter, or any parameter claiming the reserved name. Options may still share a name to compete for the same value (feature switches). #2819 #3678
• unstyle and the ANSI handling behind help-text wrapping now strip the full CSI escape-sequence grammar. #3681
• Streamline Option flag handling: the flag-kind, type, lazy-default and validation steps in Option.__init__ move into focused helpers, and flag_value and default keep their unset sentinel at construction (resolved lazily on read) so is UNSET reliably tells a user-supplied value from an auto-derived one. Runtime behavior is unchanged, but {meth}Parameter.to_info_dict now resolves default=True on a feature switch to its flag_value, matching what the function receives at call

... (truncated)

Changelog

Sourced from click's changelog.

Version 8.5.0

Released 2026-08-24

• Add built-in shell completion support for PowerShell (Windows PowerShell 5.1+ and pwsh 7+) alongside the existing bash, zsh, and fish completers. Use _FOO_BAR_COMPLETE=powershell_source foo-bar to generate the completion script. {issue}2672 {pr}3637
• Supported versions of Windows enable ANSI terminal styles by default. Colorama is no longer a dependency and is not used. {issue}2986 {pr}3505
• {class}Argument accepts a help parameter, and help output includes a Positional arguments section when argument help is available. {issue}2983 {pr}3473
• confirm() and prompt() strip ANSI color and style codes from the prompt when the output stream does not support them, matching echo(). This stripping was lost in 8.4.0 when {pr}2969 began writing the prompt with input() directly. {issue}3572 {pr}3653
• Fix test failures when using pytest >= 9.1. {pr}3656
• {class}Path with allow_dash=True no longer triggers a BytesWarning, an error under python -bb, when checking a value against the - convention. {issue}2877 {pr}3642
• Add {func}custom_version_option, a --version option whose output is produced by a callback, covering cases {func}version_option intentionally does not. The feature set of {func}version_option is now frozen; see [discussion #3527](https://github.com/pallets/click/discussions/3527). {pr}3581
• style() and secho() no longer silently drop the 256-color index 0 (black) passed as fg or bg, and now validate color arguments. Invalid colors raise a ValueError instead of a TypeError. {pr}3677
• The automatic help option stores its value under the reserved name _click_default_help instead of help, so a parameter named help no longer breaks parsing. The new name is visible in {meth}Command.to_info_dict output. Parameters that overwrite each other's value trigger a warning: an argument sharing its name with another parameter, or any parameter claiming the reserved name. Options may still share a name to compete for the same value (feature switches). {issue}2819 {pr}3678
• unstyle and the ANSI handling behind help-text wrapping now strip the full CSI escape-sequence grammar. {pr}3681
• Streamline Option flag handling: the flag-kind, type, lazy-default and validation steps in Option.__init__ move into focused helpers, and flag_value and default keep their unset sentinel at construction (resolved lazily on read) so is UNSET reliably tells a user-supplied value from an auto-derived one. Runtime behavior is unchanged, but {meth}Parameter.to_info_dict now resolves default=True on a feature switch to its flag_value, matching what the function receives at call time. {pr}3641
• {func}get_binary_stream and {func}get_text_stream are deprecated and will be removed in Click 9.0. {issue}3481 {pr}3695
• The following click.utils names were never intentionally public and are now private (_-prefixed). The old names remain available with a DeprecationWarning until Click 9.0: LazyFile, KeepOpenFile,

... (truncated)

Commits

• 8b19813 Release version 8.5.0
• 2c8cd3a Add FAQ entry about UnicodeEncodeError on Windows (#3778)
• 131c86a Add FAQ entry about UnicodeEncodeError on Windows
• e1fd594 Add support of pathlib.Path to edit (#3781)
• a1d8785 Add support of pathlib.Path to edit
• 2103e15 Forward all user's parameters set in PAGER and improve flag detection (#3777)
• a6256bf Forwards all user's parameters set in PAGER
• 61b69e9 Resolve the pager command once, in _pager_contextmanager (#3776)
• 9835b0f Resolve the pager command once, in _pager_contextmanager
• f36d58b Refactor pager stream handling (#3767)
• Additional commits viewable in compare view

Updates anthropic from 1.0.0 to 1.5.0

Release notes

Sourced from anthropic's releases.

v1.5.0

1.5.0 (2026-09-10)

Full Changelog: v1.4.0...v1.5.0

Features

• api: add auto mode tool permissions for Managed Agents (62aa21b)
• api: add content_too_large web_fetch tool error code (4b5dec6)
• api: add the user-profiles-2026-09-04 beta value and external_user_details to user profiles (5f881a5)
• api: support mounting public GitHub repositories without an authorization_token in Managed Agents sessions (285937c)
• client: add Message.to_param() and BetaMessage.to_param() (192a2b2)
• credentials: add CredentialsError and IdentityTokenFileError (9acd79f)
• tools: accept tool objects directly in messages.create, parse, stream and count_tokens (ebd2fc5)

Bug Fixes

• client: merge extra_body before client hooks run (7aaf887)
• credentials: refuse credentials files accessible by group or others (7af3e2b)
• streaming: keep partial tool input JSON off content blocks (4605bca)
• types: leave parsed_output out of dumped text blocks (ca0706d)

Chores

• client: clean up the unused idempotency request option (c97830c)
• client: keep the idempotency_key request option as a deprecated no-op (#621) (c2ab92e)
• docs: correct the environment scope field description (b903ee0)
• internal: remove generated file header comments (ae671f8)
• internal: restore package version (f3aefc7)
• internal: restore package version (e3c70e8)
• internal: stop stamping the package version into generated files (e7a6a28)
• tests: restore empty test package marker files (0803af0)

v1.4.0

1.4.0 (2026-09-04)

Full Changelog: v1.3.0...v1.4.0

Features

• api: add Claude Tag category and user breakdowns to usage reports (9fce1e4)
• api: add named types for organization compliance settings state (1de1957)
• api: add support for sending a workspace ID on more endpoints (d1d2c01)

Bug Fixes

• client: raise a clear error when an httpx object is passed instead of an httpx2 one (9447099)

... (truncated)

Changelog

Sourced from anthropic's changelog.

1.5.0 (2026-09-10)

Full Changelog: v1.4.0...v1.5.0

Features

• api: add auto mode tool permissions for Managed Agents (62aa21b)
• api: add content_too_large web_fetch tool error code (4b5dec6)
• api: add the user-profiles-2026-09-04 beta value and external_user_details to user profiles (5f881a5)
• api: support mounting public GitHub repositories without an authorization_token in Managed Agents sessions (285937c)
• client: add Message.to_param() and BetaMessage.to_param() (192a2b2)
• credentials: add CredentialsError and IdentityTokenFileError (9acd79f)
• tools: accept tool objects directly in messages.create, parse, stream and count_tokens (ebd2fc5)

Bug Fixes

• client: merge extra_body before client hooks run (7aaf887)
• credentials: refuse credentials files accessible by group or others (7af3e2b)
• streaming: keep partial tool input JSON off content blocks (4605bca)
• types: leave parsed_output out of dumped text blocks (ca0706d)

Chores

• client: clean up the unused idempotency request option (c97830c)
• client: keep the idempotency_key request option as a deprecated no-op (#621) (c2ab92e)
• docs: correct the environment scope field description (b903ee0)
• internal: remove generated file header comments (ae671f8)
• internal: restore package version (f3aefc7)
• internal: restore package version (e3c70e8)
• internal: stop stamping the package version into generated files (e7a6a28)
• tests: restore empty test package marker files (0803af0)

1.4.0 (2026-09-04)

Full Changelog: v1.3.0...v1.4.0

Features

• api: add Claude Tag category and user breakdowns to usage reports (9fce1e4)
• api: add named types for organization compliance settings state (1de1957)
• api: add support for sending a workspace ID on more endpoints (d1d2c01)

Bug Fixes

• client: raise a clear error when an httpx object is passed instead of an httpx2 one (9447099)
• repair custom-code merge in messages resources (#580) (85454ca)

... (truncated)

Commits

• eb21a43 Merge pull request #1924 from anthropics/release-please--branches--main--chan...
• c7c579b release: 1.5.0
• 62aa21b feat(api): add auto mode tool permissions for Managed Agents
• 285937c feat(api): support mounting public GitHub repositories without an authorizati...
• 17e9563 environments: the worker runs on the work item's session token alone when one...
• 5f881a5 feat(api): add the user-profiles-2026-09-04 beta value and external_user_deta...
• 4605bca fix(streaming): keep partial tool input JSON off content blocks
• ebd2fc5 feat(tools): accept tool objects directly in messages.create, parse, stream a...
• ca0706d fix(types): leave parsed_output out of dumped text blocks
• 192a2b2 feat(client): add Message.to_param() and BetaMessage.to_param()
• Additional commits viewable in compare view

Updates openai from 3.3.1 to 3.13.0

Release notes

Sourced from openai's releases.

v3.13.0

3.13.0 (2026-09-10)

Features

• api: add Agents API (1c4284a)

v3.12.0

3.12.0 (2026-09-10)

Features

• api: Add Live API (0e4bfef)

Bug Fixes

• add aclose() to AsyncStream for standard async cleanup (#2854) (802b334)
• handle bare dict and list annotations without type arguments (#3760) (c7e8c03)
• preserve finalized output on null response completion (#3345) (adb212e)

v3.11.0

3.11.0 (2026-09-09)

Features

• api: Add expiration controls for service account keys (#3825) (f348ec8)

v3.10.0

3.10.0 (2026-09-08)

Features

• api: add GPT Image 2.5 models and image options (#3824) (5b39c45)
• api: add service-account API key expiration fields (#3802) (f1cd7f0)

v3.9.0

3.9.0 (2026-09-05)

Features

• api: Add prompt cache diagnostics (#3800) (8326784)
• api: correct function argument completion event fields (openapi-545) (#3801) (2a98f6a)

... (truncated)

Changelog

Sourced from openai's changelog.

3.13.0 (2026-09-10)

Features

• api: add Agents API (1c4284a)

3.12.0 (2026-09-10)

Features

• api: Add Live API (0e4bfef)

Bug Fixes

• add aclose() to AsyncStream for standard async cleanup (#2854) (802b334)
• handle bare dict and list annotations without type arguments (#3760) (c7e8c03)
• preserve finalized output on null response completion (#3345) (adb212e)

3.11.0 (2026-09-09)

Features

• api: Add expiration controls for service account keys (#3825) (f348ec8)

3.10.0 (2026-09-08)

Features

• api: add GPT Image 2.5 models and image options (#3824) (5b39c45)
• api: add service-account API key expiration fields (#3802) (f1cd7f0)

3.9.0 (2026-09-05)

Features

• api: Add prompt cache diagnostics (#3800) (8326784)
• api: correct function argument completion event fields (openapi-545) (#3801) (2a98f6a)

Bug Fixes

• api: accept incomplete web search call statuses (#3786) (3cc8d78)
• refuse overflowing server retry delays (#3799) (88b4d43)

... (truncated)

Commits

• f0fa922 release: 3.13.0 (#3848)
• 1c4284a feat(agents): add beta API and one-turn streaming helpers (#3847)
• 603b81f release: 3.12.0 (#3832)
• 0e4bfef feat(api) Add Live API (#3846)
• 802b334 fix: add aclose() to AsyncStream for standard async cleanup (#2854)
• adb212e fix: preserve finalized output on null response completion (#3345)
• c7e8c03 fix: handle bare dict and list annotations without type arguments (#3760)
• 397ea08 ci: resolve fork PRs missing Castiron run associations (#3831)
• 2d4b97c test: restore CI test runtime after dependency-policy regression (#3830)
• 41f0a23 release: 3.11.0 (#3829)
• Additional commits viewable in compare view

Updates google-genai from 2.19.0 to 2.23.0

Release notes

Sourced from google-genai's releases.

v2.23.0

2.23.0 (2026-09-10)

Features

• Add from_environment support for environment copying (e6d3168)
• Support dynamic turn completion via interaction_status in live.py receive() (455df80)

Bug Fixes

• Remove unused field from FunctionResultDelta (2843079)

v2.22.0

2.22.0 (2026-09-02)

Features

• Add Gemini 3.8 Flash model to SDKs and update Flash model descriptions (660001a)

v2.21.0

2.21.0 (2026-08-31)

Features

• Add destination parameter to client.files.download to support streaming downloads to disk or file-like objects (fcf9e3f)
• Add support for the audio/webm MIME type. (67ec3d7)
• Add translation_config SDK support for GEAP. (ff153a7)
• Add Video Understanding support to the Interactions API (2cc99a9)

Bug Fixes

• Expose ProcessingCallStep and ProcessingResultStep in Interactions SDK (df0ab55)

v2.20.0

2.20.0 (2026-08-25)

Features

• Add AudioTranscriptionConfigMode (4a80954)
• Add environment files support and scotty file download helper (3074263)
• Add TYPE_JPEG2000 to VideoContent.MimeType enum (ef39c40)

Changelog

Sourced from google-genai's changelog.

2.23.0 (2026-09-10)

Features

• Add from_environment support for environment copying (e6d3168)
• Support dynamic turn completion via interaction_status in live.py receive() (455df80)

Bug Fixes

• Remove unused field from FunctionResultDelta (2843079)

2.22.0 (2026-09-02)

Features

• Add Gemini 3.8 Flash model to SDKs and update Flash model descriptions (660001a)

2.21.0 (2026-08-31)

Features

• Add destination parameter to client.files.download to support streaming downloads to disk or file-like objects (fcf9e3f)
• Add support for the audio/webm MIME type. (67ec3d7)
• Add translation_config SDK support for GEAP. (ff153a7)
• Add Video Understanding support to the Interactions API (2cc99a9)

Bug Fixes

• Expose ProcessingCallStep and ProcessingResultStep in Interactions SDK (df0ab55)

2.20.0 (2026-08-25)

Features

• Add AudioTranscriptionConfigMode (4a80954)
• Add environment files support and scotty file download helper (3074263)
• Add TYPE_JPEG2000 to VideoContent.MimeType enum (ef39c40)

Commits

• e384b55 chore(main): release 2.23.0 (#2942)
• e6d3168 feat: Add from_environment support for environment copying
• 455df80 feat: support dynamic turn completion via interaction_status in live.py recei...
• 57facba chore: add # pylint: skip-file to generated Python GAOS SDK headers
• 2843079 fix: Remove unused field from FunctionResultDelta
• c58c6c7 chore: update for netstandard 2.0.
• 0ec3d8a chore(main): release 2.22.0 (#2933)
• 660001a feat: Add Gemini 3.8 Flash model to SDKs and update Flash model descriptions
• db7c600 chore: docs
• 5d90c7e test: run live module integration tests against both backends
• Additional commits viewable in compare view

Updates torch from 2.13.0 to 2.14.0

Release notes

Sourced from torch's releases.

PyTorch 2.14.0 Release Notes

• Highlights
• Backwards Incompatible Changes
• Deprecations
• New Features
• Improvements
• Bug fixes
• Performance
• Documentation
• Security
• Developers

Highlights

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

Backwards Incompatible Changes

torch.nn

• torch.nn.LinearCrossEntropyOptions no longer accepts acc_policy="balanced"; use "compact" instead (#188283)

  The "balanced" policy was removed because "compact" provides the same weight-gradient accumulation precision with lower memory use on CUDA, already uses the equivalent scratch layout for mixed-precision inputs on other devices, and was never selected by "auto". Constructing the options with acc_policy="balanced" now raises ValueError: invalid acc_policy: 'balanced'; expected one of 'auto', 'accurate', 'compact'.

  Before:

  options = torch.nn.LinearCrossEntropyOptions(acc_policy="balanced")
  loss = torch.nn.functional.linear_cross_entropy(
      input, linear_weight, target, options=options
  )

  After:

  options = torch.nn.LinearCrossEntropyOptions(acc_policy="compact")
  loss = torch.nn.functional.linear_cross_entropy(

... (truncated)

Commits

• 2b3ec34 [release/2.14] Import SDPAParams in test_transformers to fix lint (#194970)
• 08187d9 [cuDNN] Add guards for cuDNN SDPA decode (#194963)
• 8ceea97 Pin cython < 3.3.0 for the Windows Triton wheel build (#194931)
• 99ecebc [Cherry-pick][release/2.14] [inductor] Fix loop-local load CSE lifetime (#194...
• ec283a7 Bump the Python 3.15 numpy pin to 2.5.2 (#194821)
• 65890f3 Fix docker-release validate job to use the channel matching the pushed image ...
• 1682388 Fix macOS py3.15 wheel builds: pin Cython < 3.3.0 and bump the cp315 numpy pi...
• 9724418 Fix Windows py3.15 builds: constrain Cython < 3.3.0 and bump the cp315 numpy ...
• f1b7554 [MPS] Fix pin_memory() recycling buffers still in use by the GPU (#194662)
• 9f205f7 [MPS] fail loudly on large reductions (#194661)
• Additional commits viewable in compare view

Updates transformers from 5.15.1 to 5.17.0

Release notes

Sourced from transformers's releases.

Release 5.17.0

Release v5.17.0

New Model additions

HYV4

Hy4-Preview is a 780B-parameter mixture-of-experts language model that activates 49B parameters per token. Each MoE layer holds 256 routed experts plus one always-active shared expert and routes every token to 8 of them. The context window is 1M tokens.

The architecture combines four features:

• Multi-head Latent Attention (MLA) compresses keys and values into a low-rank latent (kv_lora_rank) that kv_b_proj expands back to one key/value per query head.
• DeepSeek Sparse Attention (DSA) selects index_topk keys per query with a lightweight indexer. Following IndexShare, only the layers marked "full" in indexer_types run an indexer; "shared" layers reuse the previous full layer's selection.
• Gated MLA with learnable attention sinks, where each head owns a sink logit that participates in the softmax and contributes no value, as in GPT-OSS.
• Independent Hyper-Connections (iHC) replace the plain residual path with hc_mult parallel residual streams that are collapsed before, and redistributed after, every sublayer.

The implementation does not execute the multi-token prediction (MTP) layers. Released checkpoints keep those weights so that other runtimes can use them for speculative decoding; they are ignored at load time.

Links: Documentation

• Add h4 (#48473) by @​ArthurZucker in #48473

VibeVoice

VibeVoice is a novel framework for synthesizing high-fidelity, long-form speech with multiple speakers by employing a next-token diffusion approach within a Large Language Model (LLM) structure. It's designed to capture the authentic conversational "vibe" and is particularly suited for generating audio content like podcasts and multi-participant audiobooks.

Links: Documentation

• Implement VibeVoice (#40546) by @​pengzhiliang in #40546

NeoMME

NeoMME is a family of efficient 260M and 800M parameter multimodal-native multilingual foundation encoders from H Company. It processes multilingual text tokens and raw image patches in a single bidirectional Transformer encoder, without a separately pretrained vision tower or causal language model.

NeoMME-Retriever is a model fine-tuned from the NeoMME backbone for visual document retrieval with joint late-interaction and dense objectives. It takes text queries and documents (text or page screenshots) and produces multi-vector embeddings for MeanMaxSim scoring (late-interaction) and mean-pooled embeddings for cosine similarity (dense).

Links: Documentation

... (truncated)

Commits

• 856157a v5.17.0
• 5b7dcb0 MRoPE continued (#48594)
• 50bbcc6 [fix] Update stale expected strings in HunYuanVL integration tests (#48646)
• e8bcd79 [Quantizaiton]support 5/6/7 bits in AutoRound (#48481)
• 3283d5f [fix] Update stale golden values and fix expected_logits shape in FlavaForPre...
• 5f47b5a [tests] Fix integration test golden values broken by fast image processor def...
• fc50134 Add Fun-ASR-Nano model (#46180)
• d9fe823 Fix YOLOS device mismatch with device_map="auto" (#46886)
• cbc1651 [Generate] Avoid unconditionally downloading remote hub file (#48620)
• bd05a4b Honor shift_labels in decoder-only LLM/VLM losses (#48493)
• Additional commits viewable in compare view

Updates accelerate from 1.14.0 to 1.15.0

Release notes

Sourced from accelerate's releases.

v1.15.0: FSDP2 activation memory, dtensor improvements

FSDP2

A large batch of FSDP2 work this release: two fixes that cut activation memory at long sequence lengths, tied-embedding support on torch >= 2.13, and a round of checkpointing correctness and scale fixes.

Activation checkpointing was wrapping each child of the matched layer (self_attn, mlp, the norms) instead of the layer itself, so every inter-child activation stayed saved for backward. It now wraps the layer.

There's also a new FSDP2-only activation_checkpointing_offload, which moves the remaining per-layer checkpoint inputs to pinned CPU memory. Gradients are exactly those of plain activation checkpointing:

# fsdp2.yaml
fsdp_config:
  fsdp_version: 2
  fsdp_auto_wrap_policy: TRANSFORMER_BASED_WRAP
  fsdp_activation_checkpointing: true
  fsdp_activation_checkpointing_offload: true

accelerate launch --config_file fsdp2.yaml train.py

• FSDP2 activation checkpointing: wrap the matched transformer layer itself, not each of its children by @​qgallouedec in #4172
• Add FSDP2 activation_checkpointing_offload: offload checkpointed layer inputs to pinned CPU memory by @​qgallouedec in #4175
• Fix FSDP2 tied-embedding models on torch >= 2.13: put the output embedding in the same fully_shard group by @​qgallouedec in #4171
• Fix FSDP2/PEFT/FULL_STATE_DICT dropping every rank's adapter shard except rank 0 by @​AmineDiro in #4206
• FSDP2: per-rank torch.save/load for SHARDED_STATE_DICT to fix 2800+ NPU checkpoint timeout by @​gygdh-001 in #4105
• Fix FSDP sharded checkpoint path resolution by @​HaomingSong in #4119
• Raise a clear error when FSDP is enabled on a mesh with no shard dimension by @​qgallouedec in #4180

DTensor

Two fixes for DTensor-sharded models, which you hit with FSDP2, tensor parallelism, or any N-D parallelism setup: gradient clipping no longer fails on the foreach op when plain tensors and DTensors are mixed, and prepare_model leaves an already-sharded model where it is:

• Clip grad norm support for dtensors by @​michaelbenayoun in #4219
• prepare_model: don't move DTensor-sharded models to the device by @​qgallouedec in #4181

Offloading & Quantization

An entire model can now be dispatched to disk, including tied weights — useful for tools like llm-compressor that compress large models on machines that can't hold them:

• [Offloading] Support full disk offloading by @​kylesayrs in #4083
• Fix disk offload crash on FP8 tensors by @​shoemoney in #4151

Trackers

Custom trackers can be registered by name and then selected from log_with= like any built-in one:

from accelerate import Accelerator
from accelerate.tracking import register_tracker_class
</tr></table> 

... (truncated)

Commits

• 6afc1e5 Release: v1.15.0
• 636a934 Fix nightly CI: tensor parallel size detection and DeepSpeed warmup steps (#4...
• 385d9fb docs: fix three dead links left by the docs restructure (#4230)
• c424d0b docs: fix garbled sentence in CONTRIBUTING.md (#4231)
• 0f7e35f Clip grad norm support for dtensors (#4219)
• b2ac509 Fix FSDP2/ PEFT/FULL_STATE_DICT dropping every rank's adapter shard except ...
• 33e8bc4 Fix load_accelerator_state only restoring one RNG backend (#4217)
• 50de3ad Treat MPS out-of-memory errors as OOM in find_executable_batch_size (#4227)
• ab5fe8e feat: add the neuron device branch in state (#4218)
• 9baf95b Fix MLFLOW_NESTED_RUN never being able to turn nesting off (#4223)
• Additional commits viewable in compare view

Dependabot will resolve any conflicts with th...

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[dependabot]

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