requirements-inference.txt

# This file was autogenerated by uv via the following command:
#    uv export --format=requirements-txt --no-hashes -o requirements.txt
aiohappyeyeballs==2.6.1
    # via aiohttp
aiohttp==3.11.16
    # via
    #   datasets
    #   fsspec
    #   litellm
    #   modal
    #   together
aiosignal==1.3.2
    # via aiohttp
annotated-types==0.7.0
    # via pydantic
ansicon==1.89.0 ; sys_platform == 'win32'
    # via jinxed
anthropic==0.43.0
    # via r2e-gym
anyio==4.9.0
    # via
    #   anthropic
    #   httpx
    #   openai
    #   starlette
    #   watchfiles
appnope==0.1.4 ; sys_platform == 'darwin'
    # via ipykernel
apscheduler==3.11.0
    # via r2e-gym
asttokens==3.0.0
    # via
    #   r2e-gym
    #   stack-data
async-timeout==5.0.1 ; python_full_version < '3.11'
    # via aiohttp
attrs==25.3.0
    # via
    #   aiohttp
    #   jsonschema
    #   referencing
    #   sigtools
bashlex==0.18
    # via r2e-gym
beautifulsoup4==4.13.3
    # via swebench
blessed==1.21.0
    # via gpustat
blinker==1.9.0
    # via flask
cachetools==5.5.2
    # via google-auth
certifi==2025.1.31
    # via
    #   httpcore
    #   httpx
    #   kubernetes
    #   modal
    #   requests
cffi==1.17.1 ; implementation_name == 'pypy'
    # via pyzmq
cfgv==3.4.0
    # via pre-commit
chardet==5.2.0
    # via swebench
charset-normalizer==3.4.1
    # via requests
click==8.1.8
    # via
    #   flask
    #   litellm
    #   modal
    #   together
    #   typer
cloudpickle==3.1.1
    # via gym
colorama==0.4.6 ; sys_platform == 'win32'
    # via
    #   click
    #   ipython
    #   tqdm
comm==0.2.2
    # via ipykernel
contourpy==1.3.1
    # via matplotlib
cycler==0.12.1
    # via matplotlib
datasets==2.19.0
    # via
    #   r2e-gym
    #   swebench
debugpy==1.8.13
    # via ipykernel
decorator==5.2.1
    # via ipython
diff-parser==1.1
    # via r2e-gym
dill==0.3.8
    # via
    #   datasets
    #   multiprocess
distlib==0.3.9
    # via virtualenv
distro==1.9.0
    # via
    #   anthropic
    #   openai
docker==7.1.0
    # via swebench
docstring-parser==0.16
    # via
    #   google-cloud-aiplatform
    #   simple-parsing
durationpy==0.10
    # via kubernetes
eval-type-backport==0.2.2
    # via together
exceptiongroup==1.2.2 ; python_full_version < '3.11'
    # via
    #   anyio
    #   ipython
executing==2.2.0
    # via stack-data
fastapi==0.115.12
    # via modal
fastcore==1.8.1
    # via ghapi
filelock==3.18.0
    # via
    #   datasets
    #   huggingface-hub
    #   together
    #   transformers
    #   virtualenv
fire==0.7.0
    # via r2e-gym
flask==3.1.0
    # via r2e-gym
fonttools==4.57.0
    # via matplotlib
frozenlist==1.5.0
    # via
    #   aiohttp
    #   aiosignal
fsspec==2024.3.1
    # via
    #   datasets
    #   huggingface-hub
ghapi==1.0.6
    # via swebench
gitdb==4.0.12
    # via gitpython
gitpython==3.1.44
    # via swebench
google-api-core==2.24.2
    # via
    #   google-cloud-aiplatform
    #   google-cloud-bigquery
    #   google-cloud-core
    #   google-cloud-resource-manager
    #   google-cloud-storage
google-auth==2.38.0
    # via
    #   anthropic
    #   google-api-core
    #   google-cloud-aiplatform
    #   google-cloud-bigquery
    #   google-cloud-core
    #   google-cloud-resource-manager
    #   google-cloud-storage
    #   kubernetes
google-cloud-aiplatform==1.88.0
    # via r2e-gym
google-cloud-bigquery==3.31.0
    # via google-cloud-aiplatform
google-cloud-core==2.4.3
    # via
    #   google-cloud-bigquery
    #   google-cloud-storage
google-cloud-resource-manager==1.14.2
    # via google-cloud-aiplatform
google-cloud-storage==2.19.0
    # via google-cloud-aiplatform
google-crc32c==1.7.1
    # via
    #   google-cloud-storage
    #   google-resumable-media
google-resumable-media==2.7.2
    # via
    #   google-cloud-bigquery
    #   google-cloud-storage
googleapis-common-protos==1.69.2
    # via
    #   google-api-core
    #   grpc-google-iam-v1
    #   grpcio-status
gpustat==1.1.1
    # via r2e-gym
grpc-google-iam-v1==0.14.2
    # via google-cloud-resource-manager
grpcio==1.71.0
    # via
    #   google-api-core
    #   googleapis-common-protos
    #   grpc-google-iam-v1
    #   grpcio-status
grpcio-status==1.71.0
    # via google-api-core
grpclib==0.4.7
    # via modal
gym==0.26.2
    # via r2e-gym
gym-notices==0.0.8
    # via gym
h11==0.14.0
    # via httpcore
h2==4.2.0
    # via grpclib
hpack==4.1.0
    # via h2
httpcore==1.0.7
    # via httpx
httpx==0.28.1
    # via
    #   anthropic
    #   litellm
    #   openai
huggingface-hub==0.30.2
    # via
    #   datasets
    #   tokenizers
    #   transformers
hyperframe==6.1.0
    # via h2
identify==2.6.9
    # via pre-commit
idna==3.10
    # via
    #   anyio
    #   httpx
    #   requests
    #   yarl
importlib-metadata==8.6.1
    # via litellm
ipykernel==6.29.5
ipython==8.36.0 ; python_full_version < '3.11'
    # via
    #   ipykernel
    #   r2e-gym
ipython==9.1.0 ; python_full_version >= '3.11'
    # via
    #   ipykernel
    #   r2e-gym
ipython-pygments-lexers==1.1.1 ; python_full_version >= '3.11'
    # via ipython
itsdangerous==2.2.0
    # via flask
jedi==0.19.2
    # via ipython
jinja2==3.1.6
    # via
    #   flask
    #   litellm
jinxed==1.3.0 ; sys_platform == 'win32'
    # via blessed
jiter==0.9.0
    # via
    #   anthropic
    #   openai
joblib==1.4.2
    # via scikit-learn
jsonschema==4.23.0
    # via litellm
jsonschema-specifications==2024.10.1
    # via jsonschema
jupyter-client==8.6.3
    # via ipykernel
jupyter-core==5.7.2
    # via
    #   ipykernel
    #   jupyter-client
kiwisolver==1.4.8
    # via matplotlib
kubernetes==33.1.0
    # via r2e-gym
libtmux==0.46.1
    # via r2e-gym
litellm==1.65.4.post1
    # via r2e-gym
markdown==3.7
    # via r2e-gym
markdown-it-py==3.0.0
    # via rich
markupsafe==3.0.2
    # via
    #   jinja2
    #   werkzeug
matplotlib==3.10.1
    # via
    #   r2e-gym
    #   seaborn
matplotlib-inline==0.1.7
    # via
    #   ipykernel
    #   ipython
mdurl==0.1.2
    # via markdown-it-py
modal==0.73.155
    # via swebench
multidict==6.2.0
    # via
    #   aiohttp
    #   grpclib
    #   yarl
multiprocess==0.70.16
    # via datasets
nest-asyncio==1.6.0
    # via ipykernel
nodeenv==1.9.1
    # via pre-commit
numpy==2.2.4
    # via
    #   contourpy
    #   datasets
    #   gym
    #   matplotlib
    #   pandas
    #   r2e-gym
    #   scikit-learn
    #   scipy
    #   seaborn
    #   shapely
    #   together
    #   transformers
nvidia-ml-py==12.575.51
    # via gpustat
oauthlib==3.3.1
    # via
    #   kubernetes
    #   requests-oauthlib
openai==1.72.0
    # via litellm
orjson==3.10.18
    # via r2e-gym
packaging==24.2
    # via
    #   datasets
    #   fastcore
    #   ghapi
    #   google-cloud-aiplatform
    #   google-cloud-bigquery
    #   huggingface-hub
    #   ipykernel
    #   matplotlib
    #   transformers
pandas==2.2.3
    # via
    #   datasets
    #   r2e-gym
    #   seaborn
parso==0.8.4
    # via jedi
pexpect==4.9.0
    # via
    #   ipython
    #   r2e-gym
pillow==11.1.0
    # via
    #   matplotlib
    #   together
platformdirs==4.3.7
    # via
    #   jupyter-core
    #   virtualenv
pre-commit==4.2.0
    # via swebench
prompt-toolkit==3.0.50
    # via ipython
propcache==0.3.1
    # via
    #   aiohttp
    #   yarl
proto-plus==1.26.1
    # via
    #   google-api-core
    #   google-cloud-aiplatform
    #   google-cloud-resource-manager
protobuf==5.29.4
    # via
    #   google-api-core
    #   google-cloud-aiplatform
    #   google-cloud-resource-manager
    #   googleapis-common-protos
    #   grpc-google-iam-v1
    #   grpcio-status
    #   modal
    #   proto-plus
psutil==7.0.0
    # via
    #   gpustat
    #   ipykernel
ptyprocess==0.7.0
    # via pexpect
pure-eval==0.2.3
    # via stack-data
pyarrow==19.0.1
    # via
    #   datasets
    #   together
pyarrow-hotfix==0.6
    # via datasets
pyasn1==0.6.1
    # via
    #   pyasn1-modules
    #   rsa
pyasn1-modules==0.4.2
    # via google-auth
pycparser==2.22 ; implementation_name == 'pypy'
    # via cffi
pydantic==2.11.3
    # via
    #   anthropic
    #   fastapi
    #   google-cloud-aiplatform
    #   litellm
    #   openai
    #   r2e-gym
    #   together
pydantic-core==2.33.1
    # via pydantic
pygments==2.19.1
    # via
    #   ipython
    #   ipython-pygments-lexers
    #   r2e-gym
    #   rich
pyparsing==3.2.3
    # via matplotlib
python-dateutil==2.9.0.post0
    # via
    #   google-cloud-bigquery
    #   jupyter-client
    #   kubernetes
    #   matplotlib
    #   pandas
python-dotenv==1.1.0
    # via
    #   litellm
    #   swebench
pytz==2025.2
    # via pandas
pywin32==310 ; sys_platform == 'win32'
    # via
    #   docker
    #   jupyter-core
pyyaml==6.0.2
    # via
    #   datasets
    #   huggingface-hub
    #   kubernetes
    #   pre-commit
    #   transformers
pyzmq==26.4.0
    # via
    #   ipykernel
    #   jupyter-client
referencing==0.36.2
    # via
    #   jsonschema
    #   jsonschema-specifications
regex==2024.11.6
    # via
    #   tiktoken
    #   transformers
requests==2.32.3
    # via
    #   datasets
    #   docker
    #   google-api-core
    #   google-cloud-bigquery
    #   google-cloud-storage
    #   huggingface-hub
    #   kubernetes
    #   requests-oauthlib
    #   sb-cli
    #   swebench
    #   tiktoken
    #   together
    #   transformers
requests-oauthlib==2.0.0
    # via kubernetes
rich==13.9.4
    # via
    #   modal
    #   r2e-gym
    #   sb-cli
    #   swebench
    #   together
    #   typer
rpds-py==0.24.0
    # via
    #   jsonschema
    #   referencing
rsa==4.9
    # via google-auth
safetensors==0.5.3
    # via transformers
sb-cli==0.1.2
    # via r2e-gym
scikit-learn==1.6.1
    # via r2e-gym
scipy==1.15.2
    # via scikit-learn
seaborn==0.13.2
    # via r2e-gym
shapely==2.1.0
    # via google-cloud-aiplatform
shellingham==1.5.4
    # via typer
sigtools==4.0.1
    # via synchronicity
simple-parsing==0.1.7
    # via r2e-gym
six==1.17.0
    # via
    #   kubernetes
    #   python-dateutil
smmap==5.0.2
    # via gitdb
sniffio==1.3.1
    # via
    #   anthropic
    #   anyio
    #   openai
soupsieve==2.6
    # via beautifulsoup4
stack-data==0.6.3
    # via ipython
starlette==0.46.1
    # via fastapi
swebench==3.0.2
    # via r2e-gym
synchronicity==0.9.11
    # via modal
tabulate==0.9.0
    # via together
tenacity==9.1.2
    # via swebench
termcolor==3.0.1
    # via fire
threadpoolctl==3.6.0
    # via scikit-learn
tiktoken==0.9.0
    # via litellm
together==1.5.5
    # via r2e-gym
tokenizers==0.21.1
    # via
    #   litellm
    #   transformers
toml==0.10.2
    # via modal
tornado==6.4.2
    # via
    #   ipykernel
    #   jupyter-client
tqdm==4.67.1
    # via
    #   datasets
    #   huggingface-hub
    #   openai
    #   r2e-gym
    #   swebench
    #   together
    #   transformers
traitlets==5.14.3
    # via
    #   comm
    #   ipykernel
    #   ipython
    #   jupyter-client
    #   jupyter-core
    #   matplotlib-inline
transformers==4.51.1
    # via r2e-gym
typer==0.15.2
    # via
    #   modal
    #   sb-cli
    #   together
types-certifi==2021.10.8.3
    # via modal
types-toml==0.10.8.20240310
    # via modal
typing-extensions==4.13.1
    # via
    #   anthropic
    #   anyio
    #   beautifulsoup4
    #   fastapi
    #   google-cloud-aiplatform
    #   huggingface-hub
    #   ipython
    #   modal
    #   multidict
    #   openai
    #   pydantic
    #   pydantic-core
    #   referencing
    #   rich
    #   simple-parsing
    #   synchronicity
    #   typer
    #   typing-inspection
typing-inspection==0.4.0
    # via pydantic
tzdata==2025.2
    # via
    #   pandas
    #   tzlocal
tzlocal==5.3.1
    # via apscheduler
unidiff==0.7.5
    # via swebench
urllib3==2.3.0
    # via
    #   docker
    #   kubernetes
    #   requests
virtualenv==20.30.0
    # via pre-commit
watchfiles==1.0.5
    # via modal
wcwidth==0.2.13
    # via
    #   blessed
    #   prompt-toolkit
websocket-client==1.8.0
    # via kubernetes
werkzeug==3.1.3
    # via flask
xxhash==3.5.0
    # via datasets
yarl==1.19.0
    # via aiohttp
zipp==3.21.0
    # via importlib-metadata
socksio==1.0.0