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Bump the python-minor-patch group across 1 directory with 9 updates - #40

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Bump the python-minor-patch group across 1 directory with 9 updates#40
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Bumps the python-minor-patch group with 9 updates in the / directory:

Package From To
colorlog 6.10.1 6.12.0
fastapi 0.138.2 0.141.1
langgraph 1.2.7 1.2.10
openai 2.44.0 2.53.0
uvicorn 0.49.0 0.52.1
sentence-transformers 5.6.0 5.7.0
faiss-cpu 1.14.3 1.15.0
cachetools 7.1.4 7.1.7
ruff 0.15.20 0.16.2

Updates colorlog from 6.10.1 to 6.12.0

Release notes

Sourced from colorlog's releases.

v6.12.0

What's Changed

Full Changelog: borntyping/python-colorlog@v6.11.0...v6.12.0

v6.11.0

What's Changed

Full Changelog: borntyping/python-colorlog@v6.10.1...v6.11.0

Commits

Updates fastapi from 0.138.2 to 0.141.1

Release notes

Sourced from fastapi's releases.

0.141.1

Fixes

  • 🐛 Fix support for background tasks and headers from dependencies in app.frontend(). PR #16105 by @​tiangolo.

Docs

0.141.0

Features

  • ✨ Add app.frontend(check_dir="auto"), to make local development more convenient with fastapi dev. PR #16102 by @​tiangolo.

0.140.13

Fixes

Docs

0.140.12

Fixes

0.140.11

Fixes

  • 🐛 Fix response_model_* params ignored for non-generator endpoints with Iterable[..] return type. PR #15093 by @​YuriiMotov.

0.140.10

Fixes

Internal

0.140.9

Fixes

  • 🐛 Fix exclude_defaults not propagated to dict keys and values in jsonable_encoder. PR #16043 by @​MBGrao.

... (truncated)

Commits
  • 95f8322 🔖 Release version 0.141.1 (#16106)
  • f137944 📝 Update release notes
  • d623544 🐛 Fix support for background tasks and headers from dependencies in `app.fron...
  • 1d211b9 📝 Update release notes
  • 8a1f876 📝 Document FASTAPI_ENV in FastAPI CLI guide (#16104)
  • c7e7b65 🔖 Release version 0.141.0 (#16103)
  • 6bceb84 📝 Update release notes
  • 5429fed ✨ Add app.frontend(check_dir="auto"), to make local development more conven...
  • 628663f 🔖 Release version 0.140.13 (#16096)
  • 0b54fd0 📝 Update release notes
  • Additional commits viewable in compare view

Updates langgraph from 1.2.7 to 1.2.10

Release notes

Sourced from langgraph's releases.

langgraph==1.2.10

Changes since 1.2.9

  • release(langgraph): 1.2.10 (#8462)
  • chore(deps): bump jupyterlab from 4.5.9 to 4.5.10 in /libs/langgraph (#8440)
  • chore(deps): bump setuptools from 80.9.0 to 83.0.0 in /libs/langgraph (#8435)
  • feat(langgraph): type v3 stream_events return and native projections (#8389)
  • revert(langgraph): delete TracePolicy (#8403)
  • feat(langgraph): drop tags from TracePolicy (#8402)
  • feat(langgraph): expose trace_policy on add_node (#8362)
  • chore(deps): bump mistune from 3.2.1 to 3.3.0 in /libs/langgraph (#8317)
  • chore(deps): bump soupsieve from 2.8.1 to 2.8.4 in /libs/langgraph (#8318)
  • chore(cli): allow langgraph-api versions up to 1.0.0 (#8319)

langgraph==1.2.9

Changes since 1.2.8

  • release(langgraph): 1.2.9 (#8316)
  • fix: updateState metadata/counters for delta channel (#8315)

langgraph==1.2.8

Changes since 1.2.7

  • release(langgraph): 1.2.8 (#8292)
  • fix: delta channel bug with updateState on fresh thread will force snapshot instead of stub checkpoint (#8290)
  • chore(deps): bump the minor-and-patch group in /libs/langgraph with 8 updates (#8255)
  • chore(deps): bump websockets from 15.0.1 to 16.0 in /libs/langgraph in the major group (#8256)
  • chore(deps): bump the minor-and-patch group in /libs/sdk-py with 9 updates (#8252)
Commits
  • 4134145 release(langgraph): 1.2.10 (#8462)
  • 30c4d58 chore(deps): bump jupyterlab from 4.5.9 to 4.5.10 in /libs/langgraph (#8440)
  • 1f2f88b chore(deps): bump js-yaml from 4.2.0 to 4.3.0 in /libs/cli/js-monorepo-exampl...
  • 2708203 chore(deps): bump setuptools from 82.0.1 to 83.0.0 in /libs/cli (#8434)
  • 9f1e40b chore(deps): bump setuptools from 80.9.0 to 83.0.0 in /libs/langgraph (#8435)
  • 1e1ca88 feat(langgraph): type v3 stream_events return and native projections (#8389)
  • 31f90df revert(langgraph): delete TracePolicy (#8403)
  • f02c0f0 feat(langgraph): drop tags from TracePolicy (#8402)
  • 8b39db3 feat(langgraph): expose trace_policy on add_node (#8362)
  • 9578140 feat(checkpoint,checkpoint-postgres): add opt-in omit_expired to skip expired...
  • Additional commits viewable in compare view

Updates openai from 2.44.0 to 2.53.0

Release notes

Sourced from openai's releases.

v2.53.0

2.53.0 (2026-08-03)

Features

  • api: Add gpt-5.5 and tool name/namespace to Responses types (#3569) (dd1202d)

Bug Fixes

  • ci: avoid NumPy source builds and duplicate HTTPX coverage (#3573) (b58332f)

v2.52.1

2.52.1 (2026-07-31)

Full Changelog: v2.52.0...v2.52.1

Chores

  • ci: pin setup-uv v5 to its underlying commit (#3560) (cbdc98b)

v2.52.0

2.52.0 (2026-07-31)

Full Changelog: v2.51.0...v2.52.0

Features

  • api: content provenance checks (1d6c118)

Bug Fixes

  • client: honor Retry-After delays up to two minutes (#3555) (7fa7946)

Documentation

v2.51.0

2.51.0 (2026-07-30)

Full Changelog: v2.50.0...v2.51.0

Features

... (truncated)

Changelog

Sourced from openai's changelog.

2.53.0 (2026-08-03)

Features

  • api: Add gpt-5.5 and tool name/namespace to Responses types (#3569) (dd1202d)

Bug Fixes

  • ci: avoid NumPy source builds and duplicate HTTPX coverage (#3573) (b58332f)

2.52.1 (2026-07-31)

Full Changelog: v2.52.0...v2.52.1

Chores

  • ci: pin setup-uv v5 to its underlying commit (#3560) (cbdc98b)

2.52.0 (2026-07-31)

Full Changelog: v2.51.0...v2.52.0

Features

  • api: content provenance checks (1d6c118)

Bug Fixes

  • client: honor Retry-After delays up to two minutes (#3555) (7fa7946)

Documentation

2.51.0 (2026-07-30)

Full Changelog: v2.50.0...v2.51.0

Features

Bug Fixes

  • api: add fast tier to helper methods (6064126)

... (truncated)

Commits

Updates uvicorn from 0.49.0 to 0.52.1

Release notes

Sourced from uvicorn's releases.

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

Full Changelog: Kludex/uvicorn@0.50.2...0.51.0

Version 0.50.1

What's Changed

New Contributors

Full Changelog: Kludex/uvicorn@0.50.0...0.50.1

Version 0.50.0

What's Changed

... (truncated)

Changelog

Sourced from uvicorn's changelog.

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)

0.50.2 (July 6, 2026)

Fixed

  • Require websockets>=13.0, which the default websockets-sansio implementation needs (#3021)

0.50.1 (July 6, 2026)

Fixed

  • Split comma-separated Sec-WebSocket-Protocol values in the websockets-sansio implementation (#3019)

0.50.0 (July 4, 2026)

If you use WebSockets, note that --ws auto now picks the websockets-sansio implementation. You shouldn't need it, but you can pin --ws websockets to get the deprecated legacy one back.

Changed

... (truncated)

Commits
  • ee8e45c Version 0.52.1 (#3056)
  • b57926d Remove duplicate content headers from WebSocket denial responses on websocket...
  • 49de1b9 chore(deps): bump pymdown-extensions from 10.21.3 to 11.0 (#3042)
  • 2f3fa3a Complete server-initiated closes in SansIO WebSocket protocols (#3053)
  • 8c59d55 chore(deps): bump the github-actions group with 5 updates (#3054)
  • e148451 Handle connection loss during WebSocket write backpressure (#3050)
  • e16a69b Add missing write flow control to websockets-sansio (#3048)
  • ef1dd44 Fold the zttp-only tests back into the HTTP test suite (#3046)
  • 8f1b884 Version 0.52.0 (#3044)
  • f6833db Add experimental zttp HTTP/1.1 protocol (#2979)
  • 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 faiss-cpu from 1.14.3 to 1.15.0

Release notes

Sourced from faiss-cpu's releases.

v1.15.0

[1.15.0] - 2026-07-31

Full changelog

Added

  • 4332ceb99492e3ba4ce09aada9bd9e48dc4e2f0b Enable byte-LUT gather path for QT_8bit_eden distance computation (#5498)
  • 41133fde4222a8862650601d85f9af684314ebc8 Add EDEN quantizer indexes (#5278)
  • 3110fd242458bf1458507d9d281847543e3b4d92 Add MetalIndexIVFPQ with product quantization and residual encoding support (#5288)
  • 6c2b68775a21a24870f7fd10788ebc4ec0582650 Adding cuVS IVF-SQ backend (#5306)
  • 4d778bc595917de51a0e76de8351984b8bd8203f Add multi-GPU CAGRA → HNSW build with trainAllNeighbors and multi-GPU optimize (#5282)
  • 42dc2862c293b7c7f788be686cf6c9ac93abf6cf Implement memory-mapped I/O for Flat and static Vamana SVS indices (#5271)
  • d22107beca7a6db4ff146700b19d507e52b595b1 feat(riscv): Add RISC-V RVV rabitq kernels (#5369)
  • df51012a606bc352058e95fe58d45b348ffb201a feat(riscv): Add RISC-V RVV vector distance kernels (#5354)
  • 3b52da37c40973d4816ff7d2a4e3fb9f74379988 Add AVX2 and AVX512 byte-domain kernels for QT_8bit_direct_signed (#5409)
  • 88b6c47cf514d3bee7d1995c09a39234fa89d8f9 Implement IVFRaBitQ FastScan conversion constructor (#5422)
  • d24cc844d2cabce819cda806217b243177293e09 Implement GPU IVF add_preassigned via add_core (implement #3908) (#5372)
  • 5826578a7e8f3f9e45bdb74df0c504c242dfdba0 Read/Write support for IndexHNSW base class (#5305)
  • a3350f6641f85d1e2d08fa191863bde6be470df9 faiss: support METRIC_L1 and extra metrics in IndexFlat range_search (#5391)
  • 432e8b4248c2778b5023d5e2ac15b264ec120d02 Extend DistanceComputer batching to PQ, SQ, and PreTransform (#5309)
  • 7d4bb39f7eb3e9bb4d160aa38ec821ee1a407afc Extract super_kmeans_assign_iteration as a shared public SuperKMeans kernel (#5443)
  • aff8589c9e1c2d6ee6a0de615aa719a9a4fd6e86 c_api: expose ScalarQuantizer codec and complete FaissQuantizerType enum (#5477)
  • 13aa39b7916824bc09ca6af7b5e241c2cba68f6d Clone index support for HadamardRotation (#5475)
  • 3e313e4c496b6a042b71193fe0bd9dd713efc7a2 SIMDConfig::has_dynamic_dispatch() (#5460)
  • a6f97750aeaf760c72d0526c3a346513823c4a0c Add faiss-gpu-cuvs pip wheel packaging (#5250)
  • 6227323ffd0341679299ba9a8e71cac1e15674ee pyfaiss_gpu_cuvs_2602: cuVS faiss Python for aarch64/GH200 (26.02, CUDA 12.4)
  • 522644cb2b7a29737fe669b263eccb946217dc93 Stand up parallel cuVS 26.02 IVF-PQ targets (rmm/raft/cuvs) at CUDA 12.8 (#5414)
  • edebabf90fe79829ede6eaa02f3d9a78d3008a5b Include Python type stubs (init.pyi, py.typed) in conda packages (#5394)
  • 9579d8f0a4dbc91bd7ce195ef0aceb937c89159e Add type stubs for SVS index classes + IndexIVFFlatPanorama.batch_size (#5489)
  • fd7be0cfb0c8cee0d475bb6285ad996a87ebf917 Add QT_0bit and QT_2bit_tq..QT_5bit_tq to ScalarQuantizer pyi stub (#5323)
  • ccecc847db5e1d20e929cf8df4a8ddb654769890 Add ClusteringInitMethod enum constants to init.pyi stub (#5324)
  • 55990eb91f9042d811a76d72e43f9ca126d77beb Port test_rabitq_utils from C++ to Python (#5442)

Changed

  • 0236390f2fd8e63ff5e4c6d4ca981b7ba032cd17 Optimize RaBitQ fastscan query setup + 80% qps (#5396)
  • b1d61c3b883fb82063e024979404dd6ebe134eca Fuse RaBitQ AND-dot and popcount scan (#5412)
  • 81031a97892896ca9167e5203e27420de4617e67 RaBitQ fastscan avx512 lut quant (#5397)
  • b7f2b0f1fd8d62e902bdcdcb9ae9694a6fd8f792 RaBitQ SIMD-optimized bit-plane operation (#5392)
  • 0a27700e05429e60221b0eccbf50c4a79ad2e450 Reuse RaBitQ IVF scanner distance computer (#5390)
  • a3d59f0999c69015eeff54fdde3e0d051798179e faiss DD: use 256-bit fast-scan QBS kernel on AMD Zen 4 (split AVX-512) (#5488)
  • c374dd917b75c8b1fef56e487d26e18d3aae5605 Panorama HNSW Optimizations (~x1.2) (#5190)
  • cb9a72ac03f4e7f7d563e3e54ab4e86b8ce1af12 Reuse the HNSW visited table across searches instead of reallocating per call (#5448)
  • 4d1657471f8590ccadf5c2f37d6b58999b8010ec Raise HNSW visited-table hash-set threshold from 500k to 10M (#5446)
  • a4b4c0f2de14d30719e0750e40922e47517eaa80 Optimize exhaustive_L2sqr_blas_cmax with AVX-512 intrinsics. (#4569)
  • 4a2f7e63280ec095bb16dbf0d8e837b2ab79c27f Optimize the DistanceComputerByte::compute_code_distance with AVX512F, AVX512BW, AVX512VL instructions (#5067)
  • 9a74c6d3d14ccf02157782c8f47205765fad63d9 Speed up Top1 and Reservoir add_results with AVX2/AVX512 (#5297)
  • 4030faae3d5b2c67a5931a637a1e77e2ceee9e1e Speed up polysemous training with AVX-512.
  • ea107641d4ccc350e9c3eebaffcada74b586d801 Parallelize inverted-list append loop in IndexIVFPQ::add_core_o (#5382)
  • cf045707c5342cf670b9e1176d47337b05fa0b6e ProductQuantizer::search_sdc: hoist per-subquantizer row pointers out of database-vector loop (#5338)
  • caf88fca98d6693366642cbb7d9b8df27dcb91ce Improve ranklist intersection size (#5237)

... (truncated)

Changelog

Sourced from faiss-cpu's changelog.

[1.15.0] - 2026-07-31

Added

  • 4332ceb99492e3ba4ce09aada9bd9e48dc4e2f0b Enable byte-LUT gather path for QT_8bit_eden distance computation (#5498)
  • 41133fde4222a8862650601d85f9af684314ebc8 Add EDEN quantizer indexes (#5278)
  • 3110fd242458bf1458507d9d281847543e3b4d92 Add MetalIndexIVFPQ with product quantization and residual encoding support (#5288)
  • 6c2b68775a21a24870f7fd10788ebc4ec0582650 Adding cuVS IVF-SQ backend (#5306)
  • 4d778bc595917de51a0e76de8351984b8bd8203f Add multi-GPU CAGRA → HNSW build with trainAllNeighbors and multi-GPU optimize (#5282)
  • 42dc2862c293b7c7f788be686cf6c9ac93abf6cf Implement memory-mapped I/O for Flat and static Vamana SVS indices (#5271)
  • d22107beca7a6db4ff146700b19d507e52b595b1 feat(riscv): Add RISC-V RVV rabitq kernels (#5369)
  • df51012a606bc352058e95fe58d45b348ffb201a feat(riscv): Add RISC-V RVV vector distance kernels (#5354)
  • 3b52da37c40973d4816ff7d2a4e3fb9f74379988 Add AVX2 and AVX512 byte-domain kernels for QT_8bit_direct_signed (#5409)
  • 88b6c47cf514d3bee7d1995c09a39234fa89d8f9 Implement IVFRaBitQ FastScan conversion constructor (#5422)
  • d24cc844d2cabce819cda806217b243177293e09 Implement GPU IVF add_preassigned via add_core (implement #3908) (#5372)
  • 5826578a7e8f3f9e45bdb74df0c504c242dfdba0 Read/Write support for IndexHNSW base class (#5305)
  • a3350f6641f85d1e2d08fa191863bde6be470df9 faiss: support METRIC_L1 and extra metrics in IndexFlat range_search (#5391)
  • 432e8b4248c2778b5023d5e2ac15b264ec120d02 Extend DistanceComputer batching to PQ, SQ, and PreTransform (#5309)
  • 7d4bb39f7eb3e9bb4d160aa38ec821ee1a407afc Extract super_kmeans_assign_iteration as a shared public SuperKMeans kernel (#5443)
  • aff8589c9e1c2d6ee6a0de615aa719a9a4fd6e86 c_api: expose ScalarQuantizer codec and complete FaissQuantizerType enum (#5477)
  • 13aa39b7916824bc09ca6af7b5e241c2cba68f6d Clone index support for HadamardRotation (#5475)
  • 3e313e4c496b6a042b71193fe0bd9dd713efc7a2 SIMDConfig::has_dynamic_dispatch() (#5460)
  • a6f97750aeaf760c72d0526c3a346513823c4a0c Add faiss-gpu-cuvs pip wheel packaging (#5250)
  • 6227323ffd0341679299ba9a8e71cac1e15674ee pyfaiss_gpu_cuvs_2602: cuVS faiss Python for aarch64/GH200 (26.02, CUDA 12.4)
  • 522644cb2b7a29737fe669b263eccb946217dc93 Stand up parallel cuVS 26.02 IVF-PQ targets (rmm/raft/cuvs) at CUDA 12.8 (#5414)
  • edebabf90fe79829ede6eaa02f3d9a78d3008a5b Include Python type stubs (init.pyi, py.typed) in conda packages (#5394)
  • 9579d8f0a4dbc91bd7ce195ef0aceb937c89159e Add type stubs for SVS index classes + IndexIVFFlatPanorama.batch_size (#5489)
  • fd7be0cfb0c8cee0d475bb6285ad996a87ebf917 Add QT_0bit and QT_2bit_tq..QT_5bit_tq to ScalarQuantizer pyi stub (#5323)
  • ccecc847db5e1d20e929cf8df4a8ddb654769890 Add ClusteringInitMethod enum constants to init.pyi stub (#5324)
  • 55990eb91f9042d811a76d72e43f9ca126d77beb Port test_rabitq_utils from C++ to Python (#5442)

Changed

  • 0236390f2fd8e63ff5e4c6d4ca981b7ba032cd17 Optimize RaBitQ fastscan query setup + 80% qps (#5396)
  • b1d61c3b883fb82063e024979404dd6ebe134eca Fuse RaBitQ AND-dot and popcount scan (#5412)
  • 81031a97892896ca9167e5203e27420de4617e67 RaBitQ fastscan avx512 lut quant (#5397)
  • b7f2b0f1fd8d62e902bdcdcb9ae9694a6fd8f792 RaBitQ SIMD-optimized bit-plane operation (#5392)
  • 0a27700e05429e60221b0eccbf50c4a79ad2e450 Reuse RaBitQ IVF scanner distance computer (#5390)
  • a3d59f0999c69015eeff54fdde3e0d051798179e faiss DD: use 256-bit fast-scan QBS kernel on AMD Zen 4 (split AVX-512) (#5488)
  • c374dd917b75c8b1fef56e487d26e18d3aae5605 Panorama HNSW Optimizations (~x1.2) (#5190)
  • cb9a72ac03f4e7f7d563e3e54ab4e86b8ce1af12 Reuse the HNSW visited table across searches instead of reallocating per call (#5448)
  • 4d1657471f8590ccadf5c2f37d6b58999b8010ec Raise HNSW visited-table hash-set threshold from 500k to 10M (#5446)
  • a4b4c0f2de14d30719e0750e40922e47517eaa80 Optimize exhaustive_L2sqr_blas_cmax with AVX-512 intrinsics. (#4569)
  • 4a2f7e63280ec095bb16dbf0d8e837b2ab79c27f Optimize the DistanceComputerByte::compute_code_distance with AVX512F, AVX512BW, AVX512VL instructions (#5067)
  • 9a74c6d3d14ccf02157782c8f47205765fad63d9 Speed up Top1 and Reservoir add_results with AVX2/AVX512 (#5297)
  • 4030faae3d5b2c67a5931a637a1e77e2ceee9e1e Speed up polysemous training with AVX-512.
  • ea107641d4ccc350e9c3eebaffcada74b586d801 Parallelize inverted-list append loop in IndexIVFPQ::add_core_o (#5382)
  • cf045707c5342cf670b9e1176d47337b05fa0b6e ProductQuantizer::search_sdc: hoist per-subquantizer row pointers out of database-vector loop (#5338)
  • caf88fca98d6693366642cbb7d9b8df27dcb91ce Improve ranklist intersection size (#5237)
  • 5c1afeed9666448708c8a036136a8a8bdf8827e1 Remove dead code in quantize_ex_bits to avoid wasted compute (#5384)
  • e3dd6a85f3125d3338b2a5918e007230927c929f Remove unused fields in various DistanceComputers (#5318)
  • 35c5495b8fa8fcab4b8b476d6a6efde67d3a0e85 Remove confusing double-negative throw-macro conditions (#5471)

... (truncated)

Commits
  • 20f14b3 Increment to next release, v1.15.0 (#5494)
  • 4332ceb Enable byte-LUT gather path for QT_8bit_eden distance computation (#5498)
  • 6187d94 clang-diagnostic-unused-parameter in GpuCloner.cpp (#5480)
  • 37313e7 Fix two memory leaks in shard_ivf_index_centroids (#5495)
  • 7a4e797 Fix RaBitQ fast scan aux offsets for large bbs (#5421)
  • b1d61c3 Fuse RaBitQ AND-dot and popcount scan (#5412)
  • 9579d8f Add type stubs for SVS index classes + IndexIVFFlatPanorama.batch_size (#5489)
  • a3d59f0 faiss DD: use 256-bit fast-scan QBS kernel on AMD Zen 4 (split AVX-512) (#5488)
  • 4d74915 Bound lattice_nbit loop in IndexLattice ctor to fix deserialization timeout (...
  • a032797 faiss DD: SQ AVX-512 falls back to AVX2 when d%16!=0 (#5478)
  • Additional commits viewable in compare view

Updates cachetools from 7.1.4 to 7.1.7

Changelog

Sourced from cachetools's changelog.

v7.1.7 (2026-08-01)

  • Improve Cache.__setitem__ behavior when replacing an existing cache item with a larger value.

  • Update CI environment.

v7.1.6 (2026-07-24)

  • Minor style improvements to keep ruff happy.

v7.1.5 (2026-07-23)

  • Fix TLRUCache silently keeping stale values on expired overwrites.

  • Reject negative cache item getsizeof values.

  • Update build environment.

Commits

@dependabot
Bump the python-minor-patch group across 1 directory with 9 updates
8523e4a 
Bumps the python-minor-patch group with 9 updates in the / directory:

| Package | From | To |
| --- | --- | --- |
| [colorlog](https://github.com/borntyping/python-colorlog) | `6.10.1` | `6.12.0` |
| [fastapi](https://github.com/fastapi/fastapi) | `0.138.2` | `0.141.1` |
| [langgraph](https://github.com/langchain-ai/langgraph) | `1.2.7` | `1.2.10` |
| [openai](https://github.com/openai/openai-python) | `2.44.0` | `2.53.0` |
| [uvicorn](https://github.com/Kludex/uvicorn) | `0.49.0` | `0.52.1` |
| [sentence-transformers](https://github.com/huggingface/sentence-transformers) | `5.6.0` | `5.7.0` |
| [faiss-cpu](https://github.com/facebookresearch/faiss) | `1.14.3` | `1.15.0` |
| [cachetools](https://github.com/tkem/cachetools) | `7.1.4` | `7.1.7` |
| [ruff](https://github.com/astral-sh/ruff) | `0.15.20` | `0.16.2` |



Updates `colorlog` from 6.10.1 to 6.12.0
- [Release notes](https://github.com/borntyping/python-colorlog/releases)
- [Commits](borntyping/python-colorlog@v6.10.1...v6.12.0)

Updates `fastapi` from 0.138.2 to 0.141.1
- [Release notes](https://github.com/fastapi/fastapi/releases)
- [Commits](fastapi/fastapi@0.138.2...0.141.1)

Updates `langgraph` from 1.2.7 to 1.2.10
- [Release notes](https://github.com/langchain-ai/langgraph/releases)
- [Commits](langchain-ai/langgraph@1.2.7...1.2.10)

Updates `openai` from 2.44.0 to 2.53.0
- [Release notes](https://github.com/openai/openai-python/releases)
- [Changelog](https://github.com/openai/openai-python/blob/main/CHANGELOG.md)
- [Commits](openai/openai-python@v2.44.0...v2.53.0)

Updates `uvicorn` from 0.49.0 to 0.52.1
- [Release notes](https://github.com/Kludex/uvicorn/releases)
- [Changelog](https://github.com/Kludex/uvicorn/blob/main/docs/release-notes.md)
- [Commits](Kludex/uvicorn@0.49.0...0.52.1)

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 `faiss-cpu` from 1.14.3 to 1.15.0
- [Release notes](https://github.com/facebookresearch/faiss/releases)
- [Changelog](https://github.com/facebookresearch/faiss/blob/main/CHANGELOG.md)
- [Commits](facebookresearch/faiss@v1.14.3...v1.15.0)

Updates `cachetools` from 7.1.4 to 7.1.7
- [Changelog](https://github.com/tkem/cachetools/blob/master/CHANGELOG.rst)
- [Commits](tkem/cachetools@v7.1.4...v7.1.7)

Updates `ruff` from 0.15.20 to 0.16.2
- [Release notes](https://github.com/astral-sh/ruff/releases)
- [Changelog](https://github.com/astral-sh/ruff/blob/main/CHANGELOG.md)
- [Commits](astral-sh/ruff@0.15.20...0.16.2)

---
updated-dependencies:
- dependency-name: colorlog
  dependency-version: 6.12.0
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: python-minor-patch
- dependency-name: fastapi
  dependency-version: 0.141.1
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: python-minor-patch
- dependency-name: langgraph
  dependency-version: 1.2.10
  dependency-type: direct:production
  update-type: version-update:semver-patch
  dependency-group: python-minor-patch
- dependency-name: openai
  dependency-version: 2.53.0
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: python-minor-patch
- dependency-name: uvicorn
  dependency-version: 0.52.1
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: python-minor-patch
- dependency-name: sentence-transformers
  dependency-version: 5.7.0
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: python-minor-patch
- dependency-name: faiss-cpu
  dependency-version: 1.15.0
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: python-minor-patch
- dependency-name: cachetools
  dependency-version: 7.1.7
  dependency-type: direct:production
  update-type: version-update:semver-patch
  dependency-group: python-minor-patch
- dependency-name: ruff
  dependency-version: 0.16.2
  dependency-type: direct:development
  update-type: version-update:semver-minor
  dependency-group: python-minor-patch
...

Signed-off-by: dependabot[bot] <support@github.com>
@dependabot dependabot Bot added dependencies Pull requests that update a dependency file python Pull requests that update python code labels Aug 11, 2026
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