Merge pull request #687 from instructlab/update-constraints

chore: update constraints-dev.txt (2025-08-18)

Author: bbrowning

constraints-dev.txt

@@ -1,49 +1,49 @@
-accelerate==1.9.0         # via docling, docling-ibm-models
+accelerate==1.10.0        # via docling, docling-ibm-models
 aiohappyeyeballs==2.6.1   # via aiohttp
-aiohttp==3.12.14          # via fsspec
+aiohttp==3.12.15          # via fsspec
 aiosignal==1.4.0          # via aiohttp
 annotated-types==0.7.0    # via pydantic
-anyio==4.9.0              # via httpx, openai, sse-starlette, starlette
+anyio==4.10.0             # via httpx, openai, sse-starlette, starlette
 astroid==3.3.11           # via pylint
 attrs==25.3.0             # via aiohttp, jsonlines, jsonschema, referencing
 beautifulsoup4==4.13.4    # via docling
 cachetools==6.1.0         # via tox
-certifi==2025.7.14        # via docling, httpcore, httpx, requests
+certifi==2025.8.3         # via docling, httpcore, httpx, requests
 cfgv==3.4.0               # via pre-commit
 chardet==5.2.0            # via tox
-charset-normalizer==3.4.2  # via requests
+charset-normalizer==3.4.3  # via requests
 click==8.2.1              # via typer, uvicorn, -r requirements.txt
 colorama==0.4.6           # via tox
-contourpy==1.3.2          # via matplotlib
-coverage==7.9.2           # via pytest-cov
+contourpy==1.3.3          # via matplotlib
+coverage==7.10.4          # via pytest-cov
 cycler==0.12.1            # via matplotlib
 datasets==3.6.0           # via -c constraints-dev.txt.in, -r requirements.txt
 dill==0.3.8               # via datasets, multiprocess, pylint
 diskcache==5.6.3          # via llama-cpp-python
 distlib==0.4.0            # via virtualenv
 distro==1.9.0             # via openai
-docling==2.42.0           # via -r requirements.txt
-docling-core==2.43.0      # via docling, docling-ibm-models, docling-parse, -r requirements.txt
-docling-ibm-models==3.8.2  # via docling
+docling==2.44.0           # via -r requirements.txt
+docling-core==2.44.2      # via docling, docling-ibm-models, docling-parse, -r requirements.txt
+docling-ibm-models==3.9.0  # via docling
 docling-parse==4.1.0      # via docling
 easyocr==1.7.2            # via docling
 et-xmlfile==2.0.0         # via openpyxl
 fastapi==0.116.1          # via llama-cpp-python
-filelock==3.18.0          # via datasets, huggingface-hub, torch, tox, transformers, virtualenv
+filelock==3.19.1          # via datasets, huggingface-hub, torch, tox, transformers, virtualenv
 filetype==1.2.0           # via docling
-fonttools==4.59.0         # via matplotlib
+fonttools==4.59.1         # via matplotlib
 frozenlist==1.7.0         # via aiohttp, aiosignal
 fsspec==2025.3.0          # via datasets, huggingface-hub, torch
 gguf==0.17.1              # via -r requirements.txt
 gitdb==4.0.12             # via gitpython
-gitpython==3.1.44         # via -r requirements.txt
+gitpython==3.1.45         # via -r requirements.txt
 h11==0.16.0               # via httpcore, uvicorn
 h5py==3.14.0              # via -r requirements.txt
-hf-xet==1.1.5             # via huggingface-hub
+hf-xet==1.1.7             # via huggingface-hub
 httpcore==1.0.9           # via httpx
 httpx==0.28.1             # via langsmith, openai, -r requirements.txt
-huggingface-hub==0.33.4   # via accelerate, datasets, docling, docling-ibm-models, tokenizers, transformers
-identify==2.6.12          # via pre-commit
+huggingface-hub==0.34.4   # via accelerate, datasets, docling, docling-ibm-models, tokenizers, transformers
+identify==2.6.13          # via pre-commit
 idna==3.10                # via anyio, httpx, requests, yarl
 imageio==2.37.0           # via scikit-image
 iniconfig==2.1.0          # via pytest
@@ -58,55 +58,55 @@ jsonpointer==3.0.0        # via jsonpatch
 jsonref==1.1.0            # via docling-core
 jsonschema==4.25.0        # via docling-core, instructlab-schema, -r requirements-dev.txt
 jsonschema-specifications==2025.4.1  # via jsonschema
-kiwisolver==1.4.8         # via matplotlib
-langchain-core==0.3.70    # via langchain-text-splitters
-langchain-text-splitters==0.3.8  # via -r requirements.txt
-langsmith==0.4.8          # via langchain-core
+kiwisolver==1.4.9         # via matplotlib
+langchain-core==0.3.74    # via langchain-text-splitters
+langchain-text-splitters==0.3.9  # via -r requirements.txt
+langsmith==0.4.14         # via langchain-core
 latex2mathml==3.78.0      # via docling-core
 lazy-loader==0.4          # via scikit-image
-llama-cpp-python==0.3.14  # via -r requirements-dev.txt
+llama-cpp-python==0.3.16  # via -r requirements-dev.txt
 llvmlite==0.44.0          # via numba
 lxml==5.4.0               # via docling, python-docx, python-pptx
-markdown-it-py==3.0.0     # via rich
-marko==2.1.4              # via docling
+markdown-it-py==4.0.0     # via rich
+marko==2.2.0              # via docling
 markupsafe==3.0.2         # via jinja2
-matplotlib==3.10.3        # via submodlib-py
+matplotlib==3.10.5        # via submodlib-py
 mccabe==0.7.0             # via pylint
 mdurl==0.1.2              # via markdown-it-py
 mpire==2.10.2             # via semchunk
 mpmath==1.3.0             # via sympy
-multidict==6.6.3          # via aiohttp, yarl
+multidict==6.6.4          # via aiohttp, yarl
 multiprocess==0.70.16     # via datasets, mpire
 networkx==3.5             # via scikit-image, torch
-ninja==1.11.1.4           # via easyocr
+ninja==1.13.0             # via easyocr
 nodeenv==1.9.1            # via pre-commit
 numba==0.61.2             # via submodlib-py, -r requirements.txt
 numpy==2.2.6              # via accelerate, contourpy, datasets, docling-ibm-models, easyocr, gguf, h5py, imageio, llama-cpp-python, matplotlib, numba, opencv-python-headless, pandas, safetensors, scikit-image, scikit-learn, scipy, shapely, submodlib-py, tifffile, torchvision, transformers
-nvidia-cublas-cu12==12.6.4.1  # via nvidia-cudnn-cu12, nvidia-cusolver-cu12, torch
-nvidia-cuda-cupti-cu12==12.6.80  # via torch
-nvidia-cuda-nvrtc-cu12==12.6.77  # via torch
-nvidia-cuda-runtime-cu12==12.6.77  # via torch
-nvidia-cudnn-cu12==9.5.1.17  # via torch
-nvidia-cufft-cu12==11.3.0.4  # via torch
-nvidia-cufile-cu12==1.11.1.6  # via torch
-nvidia-curand-cu12==10.3.7.77  # via torch
-nvidia-cusolver-cu12==11.7.1.2  # via torch
-nvidia-cusparse-cu12==12.5.4.2  # via nvidia-cusolver-cu12, torch
-nvidia-cusparselt-cu12==0.6.3  # via torch
-nvidia-nccl-cu12==2.26.2  # via torch
-nvidia-nvjitlink-cu12==12.6.85  # via nvidia-cufft-cu12, nvidia-cusolver-cu12, nvidia-cusparse-cu12, torch
-nvidia-nvtx-cu12==12.6.77  # via torch
-openai==1.97.0            # via -r requirements.txt
+nvidia-cublas-cu12==12.8.4.1  # via nvidia-cudnn-cu12, nvidia-cusolver-cu12, torch
+nvidia-cuda-cupti-cu12==12.8.90  # via torch
+nvidia-cuda-nvrtc-cu12==12.8.93  # via torch
+nvidia-cuda-runtime-cu12==12.8.90  # via torch
+nvidia-cudnn-cu12==9.10.2.21  # via torch
+nvidia-cufft-cu12==11.3.3.83  # via torch
+nvidia-cufile-cu12==1.13.1.3  # via torch
+nvidia-curand-cu12==10.3.9.90  # via torch
+nvidia-cusolver-cu12==11.7.3.90  # via torch
+nvidia-cusparse-cu12==12.5.8.93  # via nvidia-cusolver-cu12, torch
+nvidia-cusparselt-cu12==0.7.1  # via torch
+nvidia-nccl-cu12==2.27.3  # via torch
+nvidia-nvjitlink-cu12==12.8.93  # via nvidia-cufft-cu12, nvidia-cusolver-cu12, nvidia-cusparse-cu12, torch
+nvidia-nvtx-cu12==12.8.90  # via torch
+openai==1.99.9            # via -r requirements.txt
 opencv-python-headless==4.12.0.88  # via docling-ibm-models, easyocr
 openpyxl==3.1.5           # via docling
-orjson==3.11.0            # via langsmith
+orjson==3.11.2            # via langsmith
 packaging==25.0           # via accelerate, datasets, huggingface-hub, langchain-core, langsmith, lazy-loader, matplotlib, pyproject-api, pytest, scikit-image, tox, transformers
 pandas==2.3.1             # via datasets, docling, docling-core, submodlib-py
 pathspec==0.12.1          # via yamllint
 pillow==11.3.0            # via docling, docling-core, docling-ibm-models, docling-parse, easyocr, imageio, matplotlib, python-pptx, scikit-image, torchvision
 platformdirs==4.3.8       # via pylint, tox, virtualenv
 pluggy==1.6.0             # via docling, pytest, pytest-cov, tox
-pre-commit==4.2.0         # via -r requirements-dev.txt
+pre-commit==4.3.0         # via -r requirements-dev.txt
 propcache==0.3.2          # via aiohttp, yarl
 psutil==7.0.0             # via accelerate
 pyarrow==21.0.0           # via datasets
@@ -116,7 +116,7 @@ pydantic-core==2.33.2     # via pydantic
 pydantic-settings==2.10.1  # via docling, llama-cpp-python
 pygments==2.19.2          # via mpire, pytest, rich
 pylatexenc==2.10          # via docling
-pylint==3.3.7             # via pylint-plugin-utils, pylint-pydantic, -r requirements-dev.txt
+pylint==3.3.8             # via pylint-plugin-utils, pylint-pydantic, -r requirements-dev.txt
 pylint-plugin-utils==0.9.0  # via pylint-pydantic
 pylint-pydantic==0.3.5    # via -r requirements-dev.txt
 pyparsing==3.2.3          # via matplotlib
@@ -135,26 +135,26 @@ python-pptx==1.0.2        # via docling
 pytz==2025.2              # via pandas
 pyyaml==6.0.2             # via accelerate, datasets, docling-core, easyocr, gguf, huggingface-hub, instructlab-schema, langchain-core, llama-cpp-python, pre-commit, transformers, yamllint
 referencing==0.36.2       # via jsonschema, jsonschema-specifications
-regex==2024.11.6          # via transformers
+regex==2025.7.34          # via transformers
 requests==2.32.4          # via datasets, docling, huggingface-hub, langsmith, requests-toolbelt, transformers
 requests-toolbelt==1.0.0  # via langsmith
-rich==14.0.0              # via typer
-rpds-py==0.26.0           # via jsonschema, referencing
-rtree==1.4.0              # via docling, docling-ibm-models
-safetensors==0.5.3        # via accelerate, docling-ibm-models, transformers
+rich==14.1.0              # via typer
+rpds-py==0.27.0           # via jsonschema, referencing
+rtree==1.4.1              # via docling, docling-ibm-models
+safetensors==0.6.2        # via accelerate, docling-ibm-models, transformers
 scikit-image==0.25.2      # via easyocr
 scikit-learn==1.7.1       # via submodlib-py
-scipy==1.16.0             # via docling, easyocr, scikit-image, scikit-learn, submodlib-py
+scipy==1.16.1             # via docling, easyocr, scikit-image, scikit-learn, submodlib-py
 semchunk==2.2.2           # via docling-core
-sentencepiece==0.2.0      # via -r requirements.txt
+sentencepiece==0.2.1      # via -r requirements.txt
 setuptools==80.9.0        # via triton
 shapely==2.1.1            # via easyocr
 shellingham==1.5.4        # via typer
 six==1.17.0               # via python-dateutil
 smmap==5.0.2              # via gitdb
 sniffio==1.3.1            # via anyio, openai
 soupsieve==2.7            # via beautifulsoup4
-sse-starlette==2.4.1      # via llama-cpp-python
+sse-starlette==3.0.2      # via llama-cpp-python
 starlette==0.47.2         # via fastapi, starlette-context, -r requirements-dev.txt
 starlette-context==0.3.6  # via llama-cpp-python
 submodlib-py==0.0.3       # via -r requirements.txt
@@ -164,24 +164,24 @@ tenacity==9.1.2           # via langchain-core, -r requirements.txt
 tesserocr==2.8.0          # via docling
 threadpoolctl==3.6.0      # via scikit-learn
 tifffile==2025.6.11       # via scikit-image
-tokenizers==0.21.2        # via transformers
+tokenizers==0.21.4        # via transformers
 tomlkit==0.13.3           # via pylint
-torch==2.7.1              # via accelerate, docling-ibm-models, easyocr, safetensors, torchvision
-torchvision==0.22.1       # via docling-ibm-models, easyocr
-tox==4.28.0               # via -r requirements-dev.txt
+torch==2.8.0              # via accelerate, docling-ibm-models, easyocr, safetensors, torchvision
+torchvision==0.23.0       # via docling-ibm-models, easyocr
+tox==4.28.4               # via -r requirements-dev.txt
 tqdm==4.67.1              # via datasets, docling, docling-ibm-models, gguf, huggingface-hub, mpire, openai, semchunk, submodlib-py, transformers
-transformers==4.53.2      # via docling-core, docling-ibm-models, -r requirements.txt
-triton==3.3.1             # via torch
+transformers==4.55.2      # via docling-core, docling-ibm-models, -r requirements.txt
+triton==3.4.0             # via torch
 typer==0.16.0             # via docling, docling-core
 typing-extensions==4.14.1  # via aiosignal, anyio, beautifulsoup4, docling-core, fastapi, huggingface-hub, instructlab-schema, langchain-core, llama-cpp-python, openai, pydantic, pydantic-core, python-docx, python-pptx, referencing, starlette, torch, typer, typing-inspection
 typing-inspection==0.4.1  # via pydantic, pydantic-settings
 tzdata==2025.2            # via pandas
 urllib3==2.5.0            # via requests
 uvicorn==0.35.0           # via llama-cpp-python
-virtualenv==20.32.0       # via pre-commit, tox
+virtualenv==20.34.0       # via pre-commit, tox
 xdg-base-dirs==6.0.2      # via -r requirements.txt
 xlsxwriter==3.2.5         # via python-pptx
 xxhash==3.5.0             # via datasets
 yamllint==1.37.1          # via instructlab-schema
 yarl==1.20.1              # via aiohttp
-zstandard==0.23.0         # via langsmith
+zstandard==0.24.0         # via langsmith