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fix(deps): update python: non-major updates - #339

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@renovate renovate Bot commented Aug 23, 2026 •

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ℹ️ Note

This PR body was truncated due to platform limits.

This PR contains the following updates:

Package Type Update Change OpenSSF Age Confidence
fastapi (changelog) project.dependencies minor ==0.141.1 → ==0.143.0 OpenSSF Scorecard age confidence
gliner project.dependencies patch ==0.2.28 → ==0.2.29 OpenSSF Scorecard age confidence
gradio project.dependencies minor ==6.25.0 → ==6.30.0 OpenSSF Scorecard age confidence
huggingface-hub project.dependencies minor ==1.28.0 → ==1.33.0 OpenSSF Scorecard age confidence
ipykernel dependency-groups minor ==7.3.0 → ==7.4.0 OpenSSF Scorecard age confidence
onnxruntime project.dependencies minor ==1.29.0 → ==1.31.0 age confidence
ruff (source, changelog) dependency-groups minor ==0.16.4 → ==0.17.0 OpenSSF Scorecard age confidence
torch tool.uv.sources minor ==2.13.0 → ==2.14.1+cpu age confidence
ty (changelog) dependency-groups patch ==0.0.74 → ==0.0.86 OpenSSF Scorecard age confidence
uvicorn (changelog) project.dependencies minor ==0.52.4 → ==0.54.0 OpenSSF Scorecard age confidence

Release Notes

fastapi/fastapi (fastapi)

v0.143.0

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Automatic OpenTelemetry exporter setup is now opt-in. If you rely on FastAPI to configure exporters from OTEL_* environment variables, set FASTAPI_OTEL_AUTO_CONFIGURE=true or use FastAPI(telemetry={"auto_configure": True}) to retain the previous behavior.

Applications that configure their own providers and exporters require no changes. FastAPI Cloud enables automatic setup for you.

Breaking Changes

v0.142.4

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Fixes

v0.142.3

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Fixes
Docs
Translations
Internal

v0.142.2

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Fixes

v0.142.1

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Fixes

v0.142.0

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Features
Refactors
Docs
Translations
Internal
urchade/GLiNER (gliner)

v0.2.29

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GLiNER v0.2.29 — OpenVINO, label descriptions, and contextual embeddings

This release expands deployment options, adds richer inference outputs, and fixes issues across batching, fine-tuning, evaluation, and offline model loading.

New capabilities

  • OpenVINO support: Export supported PyTorch models directly to OpenVINO IR and select OpenVINO or ONNX Runtime through GLiNER.from_pretrained, while retaining GLiNER’s familiar prediction API. [#​385](#​385)
  • Label descriptions: Pass a {label: description} dictionary to inference or serving. Descriptions become model prompts, while predictions retain your label names. Separate label dictionaries per input text are also supported. [#​386](#​386)
  • Contextual embeddings: Request entity, relation, and matched-label representations using return_vectors=True and return_label_vectors=True for downstream processing. [#​386](https://redirect.github.com/urchade/GLiNER/pull/386/files)
  • Additional training objectives: Add span-level Dice loss and optional weighting of positive spans by their width. [#​361](#​361)

Fixes and improvements

  • Fix crashes and incorrect label assignments when batching texts with different label sets. [#​384](#​384)
  • Fix training on negative examples with no annotated entities. [#​387](#​387)
  • Fix best-checkpoint restoration and resuming training from native GLiNER checkpoints. [#​389](#​389)
  • Fix relation-extraction evaluation by forwarding relation types and handling entity representations correctly. [#​380](#​380)
  • Improve offline loading by propagating local_files_only through model initialization and saving/loading auxiliary tokenizers locally. [#​391](#​391)
  • Separate optional runtime dependencies and preserve warmup_ratio compatibility with newer Transformers versions. [#​388](#​388)
  • Refresh fine-tuning and ONNX conversion notebooks. [#​390](#​390)

Upgrade notes

  • Install gliner[onnx] for CPU ONNX Runtime, gliner[gpu] for GPU ONNX Runtime, or gliner[openvino] for OpenVINO. Install the separate onnx package when exporting to ONNX.
  • Vector outputs require native PyTorch inference; ONNX, OpenVINO, and stateful streaming sessions do not currently return them.
  • OpenVINO and ONNX export support span/token uni-encoders, bi-encoders, and relation-extraction models. Generative-decoder and streaming-span architectures require PyTorch.
  • Descriptive prompts are intended for models trained to use descriptive labels.
gradio-app/gradio (gradio)

v6.30.0

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Features
  • #​13893 0d59e5e - Add an app view to gr.Workflow. Thanks @​abidlabs!
  • #​13866 ef1a961 - gr.Workflow: "Run this node" now reuses up-to-date upstream results instead of re-executing the whole upstream subgraph (Shift+click forces a full re-run). Also keeps a node's completed state after a run, which makes the stale-outline indicator work beyond the first few seconds. Thanks @​yvrjsharma!
  • #​13937 dea2bf3 - Preserve the alpha channel of images loaded into gr.ImageEditor (backport to 6.x). Thanks @​abidlabs!
Fixes

v6.29.1

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Fixes

v6.29.0

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Features
  • db9699e - Name rejected files in upload errors and fix a Document leak in sanitize. Thanks @​abidlabs!
  • 4814057 - Add display controls for examples. Note: gr.Interface now hides the additional_inputs columns in its examples table by default; their values are still loaded when an example is selected. Thanks @​abidlabs!
  • 3111c06 - Add height/max_height to gr.Accordion and gr.Tab, fix gr.Code max_lines. Thanks @​dawoodkhan82!
  • 27731f4 - docs:Clarify that None is reserved to mean "no selection" in Dropdown and cannot be used as a choice's value. Thanks @​dawoodkhan82!
  • 96a79b1 - Refactor the remaining component unit tests and remove components.test.ts. Thanks @​abidlabs!
Fixes

v6.28.0

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Features
  • #​13840 aab9fcf - workflow: add styling to input nodes. Thanks @​hannahblair!
  • #​13836 abf6825 - workflow: add pending node UI. Thanks @​hannahblair!
  • #​13573 5ab610f - workflow: add getting started templates. Thanks @​hannahblair!
  • #​13850 cb0cdac - Add keyword arguments for event inputs. Thanks @​abidlabs!
  • #​13851 afffecc - Add configurable tab overflow and alignment. Thanks @​abidlabs!
  • #​13843 8193f16 - Speed up multipage app navigation. Thanks @​abidlabs!
  • #​13862 3353446 - Expose live camera and slider position to event handlers. Thanks @​abidlabs!/n camera_position on gr.Model3D and slider_position on gr.ImageSlider now follow the user, so a function whose parameter is annotated with the component reads the view that is actually on screen. Both can still be set from the backend to move the camera or the divider./n Also fixes, in the same area:/n - camera_position is applied on load for display_mode="point_cloud" and display_mode="wireframe", not only for "solid"./n - camera_position is applied to interactive (uploadable) gr.Model3D, and slider_position to interactive gr.ImageSlider; both previously ignored it./n - pan_speed is passed through to the gr.Model3D viewer; it was silently stuck at its default./n - A Model3D camera observer was added on every camera update without ever being removed; exactly one is now registered, and it is cleaned up with the component.
Fixes

v6.27.0

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Features
Fixes

v6.26.0

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Features
Fixes
huggingface/huggingface_hub (huggingface-hub)

v1.33.0: [v1.33.0] Better UX on large uploads and simpler skills installs

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📤 See progress while large Xet uploads validate

Very large Xet uploads used to sit silently between "Uploading" and "Committing" while shards were being finalized, which could take a long time with no feedback. The upload live display now shows a dedicated Validating bar — reported as a percentage instead of opaque internal validation-entry counts — both in the upload_folder display and in XetUploadProgressReporter (used by upload_file, create_commit and bucket uploads). This requires hf-xet>=1.6.0.

🧩 Skills are now installed for every agent by default

hf skills add no longer requires a special flag for Claude Code. The skill is now always installed to .agents/skills (or ~/.agents/skills with -g) and symlinked into .claude/skills (honoring CLAUDE_CONFIG_DIR when set), so a single command covers Claude Code, Codex, Cursor, OpenCode, Pi and any other agent that loads skills from .agents/skills. The --claude flag is deprecated: it still works as a no-op but prints a warning, and --dest keeps installing only to the directory you provide. hf skills update refreshes both roots the same way. Along the way, CLAUDE_CONFIG_DIR is now properly honored everywhere (it was previously ignored, which left skills invisible to relocated Claude Code installs).

# works with Claude Code, Codex, Cursor, OpenCode, Pi and any agent that loads skills from `.agents/skills`
hf skills add

📚 Documentation: CLI guide

💔 Breaking Change

  • Send PrivateLink config under privateService in create_inference_endpoint by @​co42 in #​4966
    • AWS PrivateLink settings are now sent as privateService.accountId and privateService.region. Use the new private_link_account_id and private_link_region parameters (the region is required when the account ID is set, and is independent of the compute region). The legacy account_id keyword still exists but is ignored and emits a FutureWarning; it is no longer included as a top-level payload field.

🖥️ CLI

  • [CLI] Honor --format / --json / -q on jobs run commands by @​Wauplin in #​4936 — docs
    • These flags previously leaked into the container command on hf jobs run, hf jobs uv run and their scheduled variants (--format became the script path, -q became the image name). They are now consumed wherever they appear; use -- when your script needs them.
  • [CLI] Allow bucket as a watched item type in hf webhooks create --watch by @​davanstrien in #​4958 — docs

📖 Documentation

🐛 Bug and typo fixes

🏗️ Internal

❗ Important

✂ PR body was truncated to here.

@renovate renovate Bot added lifecycle Update or deprecate something renovate labels Aug 23, 2026
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renovate Bot requested a review from freinold August 23, 2026 22:50
@renovate renovate Bot added lifecycle Update or deprecate something renovate labels Aug 23, 2026
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renovate Bot force-pushed the renovate/python-non-major branch from 3124628 to 1ea7fff Compare August 25, 2026 17:10
@renovate renovate Bot changed the title fix(deps): update dependency gitpython to v3.1.59 fix(deps): update python: non-major updates Aug 25, 2026
@renovate
renovate Bot force-pushed the renovate/python-non-major branch 8 times, most recently from 4f65f2f to 25993b6 Compare September 1, 2026 02:50
@renovate
renovate Bot force-pushed the renovate/python-non-major branch 9 times, most recently from cfb53b8 to aeb62ba Compare September 9, 2026 19:44
@renovate
renovate Bot force-pushed the renovate/python-non-major branch from aeb62ba to 9915f5b Compare September 10, 2026 01:42
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renovate Bot force-pushed the renovate/python-non-major branch 4 times, most recently from 9856072 to 539d9c8 Compare September 14, 2026 10:09
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