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deps: bump the minor-and-patch group with 9 updates - #312

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Bumps the minor-and-patch group with 9 updates:

Package From To
typer 0.27.0 0.27.1
pandas 3.0.3 3.0.5
langchain 1.3.14 1.3.15
numpy 2.5.1 2.5.2
ruff 0.15.22 0.16.3
sentence-transformers 5.6.0 5.7.0
langchain-openai 1.3.5 1.5.1
langchain-anthropic 1.4.8 1.5.6
langchain-google-genai 4.2.7 4.3.4

Updates typer from 0.27.0 to 0.27.1

Release notes

Sourced from typer's releases.

0.27.1

Features

  • ✨ Make epilog formatting consistent with other parts of the help string. PR #1405 by @​svlandeg.

Docs

Internal

Changelog

Sourced from typer's changelog.

0.27.1 (2026-08-03)

Features

  • ✨ Make epilog formatting consistent with other parts of the help string. PR #1405 by @​svlandeg.

Docs

Internal

Commits
  • fe2aa0e 🔖 Release version 0.27.1 (#1919)
  • 680dc99 📝 Update release notes
  • ac3efd5 ✨ Make epilog formatting consistent with other parts of the help string (#1...
  • 32d80ef 📝 Update release notes
  • 10cb3c9 ⬆️ Upgrade latest-changes to 0.7.1 (#1909)
  • ac329a0 📝 Update release notes
  • c37ae2f 📝 Add Library Skills documentation (#1906)
  • 0974a7e 📝 Update release notes
  • 951178c 🐛 Prevent scroll-to-top on restart/fast buttons in the documentation (#1904)
  • 9051baa 📝 Update release notes
  • Additional commits viewable in compare view

Updates pandas from 3.0.3 to 3.0.5

Release notes

Sourced from pandas's releases.

pandas 3.0.5

We are pleased to announce the release of pandas 3.0.5. 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.

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.*

Or from conda-forge

conda install -c conda-forge pandas=3.0

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

Thanks to all the contributors who made this release possible.

pandas 3.0.4

We are pleased to announce the release of pandas 3.0.4. 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.

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.*

Or from conda-forge

conda install -c conda-forge pandas=3.0

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

Thanks to all the contributors who made this release possible.

Commits
  • e68db09 RLS: 3.0.5
  • 0697623 Backport PR #66428: DOC: update whatsnew for 3.0.5 (#66430)
  • 5d846d0 Backport PR #66090 on branch 3.0.x (BLD: exclude numpy 2.5.0 when building wh...
  • bef7a2b Backport PR #66169 on branch 3.0.x (CI: Fix pyarrow-nightly job (stale nightl...
  • 8188eb1 RLS: 3.0.4 (#66079)
  • bd35f15 [3.0.x] BUG: fix CoW issue in eval() (#66072)
  • 6195872 [backport 3.0.x] BUG: anchor whole alternation in Series.str.match for PyArro...
  • 70313be Backport PR #66051 on branch 3.0.x (BUG: fix regression in DataFrame setitem ...
  • 57ed3e2 [backport 3.0.x] Bump pypa/cibuildwheel from 3.4.1 to 4.1.0 (#65934) (#66026)
  • f9693fc [backport 3.0.x] BUG(pandas 3.0 regression): drop(index=...) doesn't accept N...
  • Additional commits viewable in compare view

Updates langchain from 1.3.14 to 1.3.15

Release notes

Sourced from langchain's releases.

langchain==1.3.15

Changes since langchain==1.3.14

release(langchain): 1.3.15 (#39595) feat(langchain): expose trace_policy on AgentMiddleware (#38910) chore(langchain): fix type errors in tests (#39589) chore: bump h2 from 4.3.0 to 4.4.1 in /libs/langchain_v1 (#39324) fix(langchain): preserve history on SummarizationMiddleware summary failure (#39268) fix(langchain): handle import error in LLMToolEmulator by model (#39290) refactor(langchain): update doc strings (#39305) feat(langchain): add state_schema param to wrap_tool_call (#39292) fix(langchain): re-export PIIMatch from middleware package (#39291) fix(langchain): restrict narrowed ToolStrategy in bound tools (#39259) feat(langchain): filter internal middleware model calls from messages projection (#39252) chore: bump aiohttp from 3.14.1 to 3.14.3 in /libs/langchain_v1 (#39242) chore: bump cryptography from 48.0.1 to 50.0.0 in /libs/langchain_v1 (#39240) test(langchain): regression test for shell tool + checkpointer msgpack error (#39267) fix(langchain): handle malformed structured-output responses (#39245) fix(langchain): prevent orphaned tool_calls in ToolCallLimitMiddleware end behavior (#39258) fix(langchain): add aliases for bedrock mantle chat models (#39260) feat(langchain): add LangSmith provider to init_chat_model (#39224) fix(langchain): clear stale structured_response between checkpointed turns (#39248) fix(langchain): stop HITL approval gates from silently failing open (#39247) chore: bump the minor-and-patch group across 3 directories with 7 updates (#39187) fix(langchain): propagate model middleware control flow (#39199) fix(langchain): update Anthropic config test (#39172) chore: bump pyasn1 from 0.6.3 to 0.6.4 in /libs/langchain_v1 (#39026) chore: bump pillow from 12.2.0 to 12.3.0 in /libs/langchain_v1 (#38994) feat(core): add reasoning_effort as a standard chat model parameter (#38887) docs(langchain): clarify ToolRetryMiddleware exception handling (#38884)

Commits

Updates numpy from 2.5.1 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)

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 ruff from 0.15.22 to 0.16.3

Release notes

Sourced from ruff's releases.

0.16.3

Release Notes

Released on 2026-08-13.

Preview features

  • [pylint] Fix false negatives on negative numbers (PLR6104) (#27251)
  • [pyupgrade] Add rule to replace while 1 with while True (UP048) (#27190)

Bug fixes

  • [flake8-bandit] Also check keyword arguments (S602, S603, S607, S609) (#27687)
  • [pylint] Allow continue in finally on Python 3.8 (#27626)
  • [pylint] Fix PLE1307 false positive with bools (#27651)
  • [pylint] Fix false positives and negatives with %b format character (PLE1300, PLE1307) (#27560)
  • [pylint] Improve handling of concatenated strings (PLE1300) (#27659)

Rule changes

  • [numpy] Make np.chararray autofix backwards-compatible (NPY201) (#27527)

Performance

  • Enable PGO for Linux x86-64 Ruff releases (#27570)
  • Enable PGO for Linux ARM64 Ruff releases (#27574)
  • Enable PGO for Windows x86-64 Ruff releases (#27573)
  • Enable PGO for macOS ARM64 Ruff releases (#27572)
  • Reduce Expr size to 64 bytes (#27591)

CLI

  • Hyperlink rule codes in ruff check --statistics output (#27646)

Documentation

  • [ruff] Also suggest asyncio.TaskGroup (RUF006) (#27461)

Other changes

Contributors

... (truncated)

Changelog

Sourced from ruff's changelog.

0.16.3

Released on 2026-08-13.

Preview features

  • [pylint] Fix false negatives on negative numbers (PLR6104) (#27251)
  • [pyupgrade] Add rule to replace while 1 with while True (UP048) (#27190)

Bug fixes

  • [flake8-bandit] Also check keyword arguments (S602, S603, S607, S609) (#27687)
  • [pylint] Allow continue in finally on Python 3.8 (#27626)
  • [pylint] Fix PLE1307 false positive with bools (#27651)
  • [pylint] Fix false positives and negatives with %b format character (PLE1300, PLE1307) (#27560)
  • [pylint] Improve handling of concatenated strings (PLE1300) (#27659)

Rule changes

  • [numpy] Make np.chararray autofix backwards-compatible (NPY201) (#27527)

Performance

  • Enable PGO for Linux x86-64 Ruff releases (#27570)
  • Enable PGO for Linux ARM64 Ruff releases (#27574)
  • Enable PGO for Windows x86-64 Ruff releases (#27573)
  • Enable PGO for macOS ARM64 Ruff releases (#27572)
  • Reduce Expr size to 64 bytes (#27591)

CLI

  • Hyperlink rule codes in ruff check --statistics output (#27646)

Documentation

  • [ruff] Also suggest asyncio.TaskGroup (RUF006) (#27461)

Other changes

Contributors

... (truncated)

Commits
  • b0e4702 Bump 0.16.3 (#27723)
  • ecdd401 [ty] Separate script and uv modules from project metadata (#27720)
  • 1263524 [ty] Simplify display implementations with std::fmt::from_fn (#27718)
  • 59196ba [ty] Unify polarity-aware relation construction (#27707)
  • b8c5e73 [ty] Disable CodSpeed cycle estimation for instrumented benchmarks (#27706)
  • 2b0d210 [ty] Centralize matched argument relations (#27705)
  • a9130f3 [pyupgrade] Add rule to replace while 1 with while True (while-one, `...
  • c64c7d6 [ty] Model try exception flow with operation checkpoints (#27471)
  • 9dea5ef [ty] Avoid deriving sequents for typevars with concrete bounds (#27587)
  • 9798e88 [ty] Preserve enum exhaustiveness with custom missing methods (#27700)
  • Additional commits viewable in compare view

Updates sentence-transformers from 5.6.0 to 5.7.0

Release notes

Sourced from sentence-transformers's releases.

v5.7.0 - GradCache Overhaul, torch.compile Inference, and a Large Batch of Correctness Fixes

This minor version is a correctness and performance-focused release. It rebuilds all gradient-cached losses on one shared engine, fixing several silently wrong gradients and adding token-based mini-batching for up to 3.9x faster cached-loss training. It also makes model.compile() actually speed up inference, and brings a long list of fixes across embedding quantization, evaluators, hard-negative mining, community detection, and multimodal inputs.

Two changes are marked breaking (🚨): int8/uint8 embedding quantization now clips out-of-range values and floors bucket values, so int8 outputs are no longer bit-identical with earlier versions, and AdaptiveLayerLoss/Matryoshka2dLoss now weight prior-layer losses uniformly by default. There's also a forward-looking deprecation: loading models whose modules import classes from outside sentence_transformers will require trust_remote_code=True from v6.0.

Install this version with

# Training + Inference
pip install sentence-transformers[train]==5.7.0
Inference only, use one of:
pip install sentence-transformers==5.7.0
pip install sentence-transformers[onnx-gpu]==5.7.0
pip install sentence-transformers[onnx]==5.7.0
pip install sentence-transformers[openvino]==5.7.0
Multimodal dependencies (optional):
pip install sentence-transformers[image]==5.7.0
pip install sentence-transformers[audio]==5.7.0
pip install sentence-transformers[video]==5.7.0
Or combine as needed:
pip install sentence-transformers[train,onnx,image]==5.7.0

GradCache overhaul: correct gradients and token-based mini-batching (#3862)

The gradient-cached losses (CachedMultipleNegativesRankingLoss, CachedGISTEmbedLoss, CachedSpladeLoss, the Cross Encoder CachedMultipleNegativesRankingLoss, and MegaBatchMarginLoss) train with large batch sizes at constant memory by embedding in mini-batches and replaying them with cached gradients. Each loss carried its own diverged copy of that machinery. They are now all rebuilt on one shared engine, which fixed several bugs that silently corrupted gradients:

  • Cross Encoder CachedMultipleNegativesRankingLoss on GPU: the backward pass used different dropout masks than the forward pass, silently biasing gradients for every reranker trained with dropout active on CUDA or MPS. CPU training was unaffected.
  • Running two forward passes before a backward pass (e.g. in custom training loops) made CachedGISTEmbedLoss and the Cross Encoder loss backpropagate the wrong batch's gradients, because the cache was stored on the loss module. The cache now travels with each forward pass's backward hook (the .cache and .random_states loss attributes are gone as a result).
  • Pooling(include_prompt=False) (e.g. Instructor models) mutated the attention mask in place, so the backward re-embedding of every cached loss ran with a different mask than the forward pass.
  • MatryoshkaLoss(GISTEmbedLoss(...)): the guide model overwrote the cached embeddings, so only the largest Matryoshka dimension was actually trained.

Along the way, this also fixed an autocast dtype crash in the backward pass and the trainer retaining autograd graphs between logging steps when tracking loss components.

MegaBatchMarginLoss's default mini-batched version is rebuilt on the engine as well. It crashed outright on recent releases, and underneath that, its historical implementation only applied the last mini-batch's gradients. It now trains on the full batch (results will differ, for the better), works with MatryoshkaLoss, evaluates under torch.no_grad, and raises for a third input column instead of silently ignoring it.

The headline feature is mini_batch_num_tokens, available on CachedMultipleNegativesRankingLoss, CachedMultipleNegativesSymmetricRankingLoss, CachedGISTEmbedLoss, CachedSpladeLoss, and MegaBatchMarginLoss. Instead of a fixed number of sequences per mini-batch, mini-batches are greedily packed by total non-padding token count, giving near-constant work per mini-batch on variable-length data:

from sentence_transformers import SentenceTransformer
from sentence_transformers.sentence_transformer.losses import CachedMultipleNegativesRankingLoss
model = SentenceTransformer("microsoft/mpnet-base")
loss = CachedMultipleNegativesRankingLoss(model, mini_batch_num_tokens=16384)

On the PR's Natural Questions benchmark, cached-loss training with flash attention and a tuned token budget dropped from 715 to 182 seconds (3.9x) versus the previous release, with unchanged quality. The engine also trims trailing padding from each mini-batch, which alone is worth about 26% throughput on the default padded path. The updated training efficiency documentation recommends the smallest token budget that saturates your GPU. mini_batch_size keeps working everywhere as before.

... (truncated)

Commits
  • b2a9529 [fix] Name the lone suggested parameter in the mine_hard_negatives missing-ne...
  • 00e696c Release v5.7.0
  • b69081a [fix] Treat a 1-dimensional query embedding as a single query in semantic_sea...
  • c9c4250 Keep queries aligned in semantic_search_seismic when a query matches nothing ...
  • 6d331a5 [fix] Support mixed sparse/dense inputs in euclidean and manhattan similari...
  • 68c8cda [fix] Reject num_negatives larger than the range_min/range_max window in mine...
  • cfb6d43 [trainer] Fix eval DataLoader worker leak with dataloader_persistent_worker...
  • f6d3a40 Expand the community window on ties with the threshold (#3900)
  • 0b3fcbd Correct the corpus_precision values documented for semantic_search_faiss ...
  • 62724e7 Drop FAISS padding placeholders from semantic_search_faiss results (#3887)
  • Additional commits viewable in compare view

Updates langchain-openai from 1.3.5 to 1.5.1

Release notes

Sourced from langchain-openai's releases.

langchain-openai==1.5.1

Changes since langchain-openai==1.5.0

release(openai): 1.5.1 (#39653) fix(openai): preserve streamed encrypted reasoning (#39635) chore(infra): support langsmith gateway in CI (#39651)

langchain-openai==1.5.0

Changes since langchain-openai==1.4.3

release(openai): 1.5.0 (#39629) feat(openai): support openai 3.0 SDK (#39613) chore(partners): bump langgraph floor in openai and huggingface lockfiles (#39617)

langchain-openai==1.4.3

Changes since langchain-openai==1.4.2

release(openai): 1.4.3 (#39485) fix(openai): filter invalid tool calls from content (#39366) chore(openai): update guidance for responses API for OpenAI-compatible providers (#39327) chore(openai): update docstring for include_response_headers (#39326)

langchain-openai==1.4.2

Changes since langchain-openai==1.4.1

release(openai): 1.4.2 (#39322) fix(openai): handle ContextWindowExceededError (#39300) chore: bump the minor-and-patch group across 3 directories with 7 updates (#39187) fix(openai): filter langchain-generated content block IDs (#39209) fix(openai): preserve Responses text options (#39204) fix(openai): redact MCP authorization (#39155) chore(model-profiles): refresh model profile data (#39050)

langchain-openai==1.4.1

Changes since langchain-openai==1.4.0

release(openai): 1.4.1 (#39045) feat(anthropic,fireworks,openai): support langsmith gateway through env var (#38742) fix(openai): correct gpt-5.3-chat-latest profile (#39009)

langchain-openai==1.4.0

Changes since langchain-openai==1.3.5

release(openai): 1.4.0 (#38983) chore: bump pillow from 12.2.0 to 12.3.0 in /libs/partners/openai (#38999) feat(core): add reasoning_effort as a standard chat model parameter (#38887) chore(model-profiles): refresh model profile data (#38797)

Commits

Updates langchain-anthropic from 1.4.8 to 1.5.6

Release notes

Sourced from langchain-anthropic's releases.

langchain-anthropic==1.5.6

Changes since langchain-anthropic==1.5.5

release(anthropic): 1.5.6 (#39622) fix(anthropic): normalize tool_search_tool_result blocks (#39621) fix(anthropic): correct model profile data for Fable 5, Sonnet 5, Opus 4.1 (#39604)

langchain-anthropic==1.5.5

Changes since langchain-anthropic==1.5.4

release(anthropic): 1.5.5 (#39597) fix(anthropic): report reasoning tokens in usage metadata (#39590) fix(anthropic): fix KeyError on rename in Claude file-tool middleware (#39293) chore(model-profiles): refresh model profile data (#39299) fix(anthropic): clearer error when no credentials are configured (#39285)

langchain-anthropic==1.5.4

Changes since langchain-anthropic==1.5.3

release(anthropic): 1.5.4 (#39277) fix(anthropic): handle tool schemas with unsupported top-level composition (#39273) chore: bump the minor-and-patch group across 3 directories with 7 updates (#39187) fix(anthropic): preserve caller tool_choice (#39206) feat(anthropic): add user_profile_id convenience attribute (#39148)

langchain-anthropic==1.5.3

Changes since langchain-anthropic==1.5.2

release(anthropic): 1.5.3 (#39109) fix(anthropic): preserve empty thinking field in signature_delta streaming (#38765) fix(anthropic): strip unsupported fields from system message content blocks (#39101)

langchain-anthropic==1.5.2

Changes since langchain-anthropic==1.5.1

release(anthropic): 1.5.2 (#39056) feat(anthropic): add Claude Opus 5 support (#39054)

langchain-anthropic==1.5.1

Changes since langchain-anthropic==1.5.0

release(anthropic): 1.5.1 (#39043) feat(anthropic,fireworks,openai): support langsmith gateway through env var (#38742) fix(anthropic): enable structured output for Claude Opus 4.8 (#39021)

langchain-anthropic==1.5.0

Changes since langchain-anthropic==1.4.8

release(anthropic): 1.5.0 (#38985) feat(core): add reasoning_effort as a standard chat model parameter (#38887)

... (truncated)

Commits
  • c5b2f95 release(anthropic): 1.5.6 (#39622)
  • 3c6c3ba fix(anthropic): normalize tool_search_tool_result blocks (#39621)
  • a648460 fix(core): issues in merging chunks (#39535)
  • 13b2f8d fix(core): handle v1 base model validation in async path (#39576)
  • 7fb045b fix(fireworks): avoid repeated service_tier [closes #39619] (#39620)
  • 624fd03 fix(core): handle tool descriptions for infer_schema=False (#39573)
  • dff3b73 fix(langchain): preserve final repeated schema ordering (#39284)
  • 1a2585e fix(openrouter): preserve cost metadata in usage chunks (#39338)
  • 0a86934 fix(core): clear usage metadata callback on exceptions in context manager (#3...
  • 2d47a5f chore(partners): bump langgraph floor in openai and huggingface lockfiles (#3...
  • Additional commits viewable in compare view

Updates langchain-google-genai from 4.2.7 to 4.3.4

Release notes

Sourced from langchain-google-genai's releases.

langchain-google-genai==4.3.4

Changes since libs/genai/v4.3.3

release(genai): 4.3.4 (#1946) chore(model-profiles): refresh model profile data (#1906) chore(genai): update tests for LangSmith gateway (#1944)

langchain-google-genai==4.3.3

Changes since libs/genai/v4.3.2

release(genai): 4.3.3 (#1936) fix: normalize empty AI content for Vertex (#1935) chore: bump types-requests from 2.33.0.20260518 to 2.33.0.20260712 in /libs/genai (#1918) chore: bump cryptography from 48.0.1 to 50.0.0 in /libs/genai (#1925)

langchain-google-genai==4.3.2

Changes since libs/genai/v4.3.1

release(genai): 4.3.2 (#1911) feat(genai): support langsmith gateway through env var (#1907) chore: bump pyasn1 from 0.6.3 to 0.6.4 in /libs/genai (#1901)

langchain-google-genai==4.3.1

Changes since libs/genai/v4.3.0

release(genai): 4.3.1 (#1900) fix(genai): align reasoning effort profiles with Gemini docs (#1899)

langchain-google-genai==4.3.0

Changes since libs/genai/v4.2.7

fix(genai): handle request rules for new Gemini models (#1897) chore(model-profiles): refresh model profile data (#1879) release(genai): 4.3.0 (#1896) feat(genai): add reasoning_effort as a standard chat model parameter (#1895) test(genai): retry flaky structured output streaming tests (#1893) fix(genai): remove default temperature for gemini models (#1882) chore: bump the minor-and-patch group across 1 directory with 6 updates (#1876)

Commits
  • da7a42e release(genai): 4.3.4 (#1946)
  • 7b7be53 chore(model-profiles): refresh model profile data (#1906)
  • b276bb5 chore(genai): update tests for LangSmith gateway (#1944)
  • af46f84 release(genai): 4.3.3 (#1936)
  • c638727 fix: normalize empty AI content for Vertex (#1935)
  • 508acdd chore: bump types-requests from 2.33.0.20260518 to 2.33.0.20260712 in /libs/c...
  • 67abfcd chore: bump aiohttp from 3.14.1 to 3.14.3 in /libs/community (#1926)
  • 126c389 chore: bump types-google-cloud-ndb from 2.4.0.20260518 to 2.4.0.20260724 in /...
  • f7952fc chore: bump cryptography from 48.0.1 to 50.0.0 in /libs/vertexai (#1924)
  • 8b014ca chore: bump types-requests from 2.33.0.20260518 to 2.33.0.20260712 in /libs/g...
  • Additional commits viewable in compare view

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deps: bump the minor-and-patch group with 9 updates
5562752 
Bumps the minor-and-patch group with 9 updates:

| Package | From | To |
| --- | --- | --- |
| [typer](https://github.com/fastapi/typer) | `0.27.0` | `0.27.1` |
| [pandas](https://github.com/pandas-dev/pandas) | `3.0.3` | `3.0.5` |
| [langchain](https://github.com/langchain-ai/langchain) | `1.3.14` | `1.3.15` |
| [numpy](https://github.com/numpy/numpy) | `2.5.1` | `2.5.2` |
| [ruff](https://github.com/astral-sh/ruff) | `0.15.22` | `0.16.3` |
| [sentence-transformers](https://github.com/huggingface/sentence-transformers) | `5.6.0` | `5.7.0` |
| [langchain-openai](https://github.com/langchain-ai/langchain) | `1.3.5` | `1.5.1` |
| [langchain-anthropic](https://github.com/langchain-ai/langchain) | `1.4.8` | `1.5.6` |
| [langchain-google-genai](https://github.com/langchain-ai/langchain-google) | `4.2.7` | `4.3.4` |


Updates `typer` from 0.27.0 to 0.27.1
- [Release notes](https://github.com/fastapi/typer/releases)
- [Changelog](https://github.com/fastapi/typer/blob/master/docs/release-notes.md)
- [Commits](fastapi/typer@0.27.0...0.27.1)

Updates `pandas` from 3.0.3 to 3.0.5
- [Release notes](https://github.com/pandas-dev/pandas/releases)
- [Commits](pandas-dev/pandas@v3.0.3...v3.0.5)

Updates `langchain` from 1.3.14 to 1.3.15
- [Release notes](https://github.com/langchain-ai/langchain/releases)
- [Commits](langchain-ai/langchain@langchain==1.3.14...langchain==1.3.15)

Updates `numpy` from 2.5.1 to 2.5.2
- [Release notes](https://github.com/numpy/numpy/releases)
- [Changelog](https://github.com/numpy/numpy/blob/main/doc/RELEASE_WALKTHROUGH.rst)
- [Commits](numpy/numpy@v2.5.1...v2.5.2)

Updates `ruff` from 0.15.22 to 0.16.3
- [Release notes](https://github.com/astral-sh/ruff/releases)
- [Changelog](https://github.com/astral-sh/ruff/blob/main/CHANGELOG.md)
- [Commits](astral-sh/ruff@0.15.22...0.16.3)

Updates `sentence-transformers` from 5.6.0 to 5.7.0
- [Release notes](https://github.com/huggingface/sentence-transformers/releases)
- [Commits](huggingface/sentence-transformers@v5.6.0...v5.7.0)

Updates `langchain-openai` from 1.3.5 to 1.5.1
- [Release notes](https://github.com/langchain-ai/langchain/releases)
- [Commits](langchain-ai/langchain@langchain-openai==1.3.5...langchain-openai==1.5.1)

Updates `langchain-anthropic` from 1.4.8 to 1.5.6
- [Release notes](https://github.com/langchain-ai/langchain/releases)
- [Commits](langchain-ai/langchain@langchain-anthropic==1.4.8...langchain-anthropic==1.5.6)

Updates `langchain-google-genai` from 4.2.7 to 4.3.4
- [Release notes](https://github.com/langchain-ai/langchain-google/releases)
- [Commits](langchain-ai/langchain-google@libs/genai/v4.2.7...libs/genai/v4.3.4)

---
updated-dependencies:
- dependency-name: typer
  dependency-version: 0.27.1
  dependency-type: direct:production
  update-type: version-update:semver-patch
  dependency-group: minor-and-patch
- dependency-name: pandas
  dependency-version: 3.0.5
  dependency-type: direct:production
  update-type: version-update:semver-patch
  dependency-group: minor-and-patch
- dependency-name: langchain
  dependency-version: 1.3.15
  dependency-type: direct:production
  update-type: version-update:semver-patch
  dependency-group: minor-and-patch
- dependency-name: numpy
  dependency-version: 2.5.2
  dependency-type: direct:production
  update-type: version-update:semver-patch
  dependency-group: minor-and-patch
- dependency-name: ruff
  dependency-version: 0.16.3
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: minor-and-patch
- dependency-name: sentence-transformers
  dependency-version: 5.7.0
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: minor-and-patch
- dependency-name: langchain-openai
  dependency-version: 1.5.1
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: minor-and-patch
- dependency-name: langchain-anthropic
  dependency-version: 1.5.6
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: minor-and-patch
- dependency-name: langchain-google-genai
  dependency-version: 4.3.4
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: minor-and-patch
...

Signed-off-by: dependabot[bot] <support@github.com>
@dependabot dependabot Bot added the dependencies Updates project dependencies or dependency management label Sep 1, 2026
@github-actions github-actions Bot added the size: XS < 50 LOC label Sep 1, 2026
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