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platform_python_implementation != \"PyPy\"", "pandas (>=2.0.0)"] +openai = ["openai (>=1.99.9)"] openai-agents = ["openai-agents (>=0.0.4)"] -pandas-test = ["pandas (>=2.2.3)"] -presidio = ["presidio-analyzer (==2.2.357)", "presidio-anonymizer (==2.2.357)"] -scorers = ["huggingface-hub (>=0.28.1)", "levenshtein (>=0.26.0)", "litellm (>=1.58)", "numpy (>1.21.0)", "pip (>=20.0)", "presidio-analyzer (>=2.2.0)", "presidio-anonymizer (>=2.2.0)", "scikit-learn (>=1.5.2)", "sentence-transformers (>=3.3.1)", "sentencepiece (>=0.2.0)", "torch (>=2.4.1)", "transformers (>=4.51.1)"] -smolagents = ["huggingface-hub (>=0.28.1)", "litellm (>=1.58)", "openai (>=1.0.0)", "smolagents (>=1.17.0,<1.19.0)", "sqlalchemy (>=2.0.38)"] -test = ["azure-storage-blob (>=12.24.0,<12.26.0)", "boto3 (>=1.34.0)", "clickhouse-connect (==0.7.0)", "confluent-kafka", "ddtrace (>=2.7.0)", "emoji (>=2.12.1)", "fastapi (>=0.110.0)", "filelock", "flask", "freezegun", "google-cloud-storage (>=2.7.0)", "httpx", "litellm (>=1.36.1)", "moto[s3] (>=5.0.0)", "moviepy (<=1.0.3)", "nox", "opencv-python", "openinference-semantic-conventions (>=0.1.17)", "opentelemetry-proto (>=1.12.0)", "opentelemetry-semantic-conventions-ai (>=0.4.3)", "pillow", "pytest (>=8.2.0)", "pytest-asyncio (>=0.23.6)", "pytest-cov (>=5.0.0)", "pytest-recording (>=0.13.2)", "pytest-rerunfailures (>=12.0)", "pytest-rerunfailures (>=14.0)", "pytest-shard (==0.1.2)", "pytest-xdist (>=3.1.0)", "reportlab", "sqlparse (==0.5.0)", "uvicorn (>=0.27.0)", "vcrpy (>=7.0.0)"] -trace-server = ["azure-storage-blob (>=12.24.0,<12.26.0)", "boto3 (>=1.34.0)", "ddtrace (>=2.7.0)", "emoji (>=2.12.1)", "google-cloud-storage (>=2.7.0)", "litellm (>=1.36.1)", "openinference-semantic-conventions (>=0.1.17)", "opentelemetry-proto (>=1.12.0)", "opentelemetry-semantic-conventions-ai (>=0.4.3)"] -trace-server-tests = ["moto[s3] (>=5.0.0)"] -verdict = ["verdict (>=0.2.3)"] -vertexai = ["shapely (<=2.0.6)", "vertexai (>=1.70.0)"] +presidio = ["presidio-analyzer (==2.2.357) ; python_version < \"3.13\"", "presidio-anonymizer (==2.2.357) ; python_version < \"3.13\""] +rich = ["rich"] +scorers = ["huggingface-hub (>=0.28.1)", "levenshtein (>=0.26.0)", "litellm (>=1.58,<1.82.7)", "numpy (>1.21.0)", "pip (>=20.0)", "presidio-analyzer (>=2.2.0)", "presidio-anonymizer (>=2.2.0)", "scikit-learn (>=1.5.2)", "sentence-transformers (>=3.3.1)", "sentencepiece (>=0.2.0)", "torch (>=2.4.1)", "transformers (>=4.51.1)"] +smolagents = ["huggingface-hub (>=0.28.1,<1.0.0)", "litellm (>=1.58) ; python_version >= \"3.10\"", "openai (>=1.99.9)", "smolagents (>=1.17.0,<1.19.0) ; python_version >= \"3.10\"", "sqlalchemy (>=2.0.38)"] +trace-server = ["azure-storage-blob (>=12.24.0,<12.26.0)", "boto3 (>=1.34.0)", "ddtrace (>=2.7.0)", "emoji (>=2.12.1)", "google-cloud-storage (>=2.7.0)", "litellm (>=1.36.1,<1.82.7)", "openinference-semantic-conventions (>=0.1.17)", "opentelemetry-proto (>=1.28.0)", "opentelemetry-semantic-conventions-ai (>=0.4.3)", "redis (>=5.0.0)"] +verdict = ["verdict (>=0.2.3) ; platform_python_implementation != \"PyPy\" and python_version < \"3.13\""] +verifiers = ["verifiers (>=0.1.3.post0,<0.1.13) ; python_version >= \"3.11\""] +vertexai = ["shapely (<=2.0.6) ; platform_python_implementation != \"PyPy\"", "vertexai (>=1.70.0) ; platform_python_implementation != \"PyPy\""] video-support = ["moviepy (<=1.0.3)"] wandb = ["wandb (>=0.17.1)"] @@ -10338,4 +10326,4 @@ cffi = ["cffi (>=1.17,<2.0) ; platform_python_implementation != \"PyPy\" and pyt [metadata] lock-version = "2.1" python-versions = ">=3.10,<3.13" -content-hash = "dbafc8100ca7370407a501c8fe420b4046552910dc13d2a8676f0224581b916f" +content-hash = "e8fe12eca78c8da16c3aac1ed869b102bf595b4a66ef24844c881f6551bae233" diff --git a/pyproject.toml b/pyproject.toml index 84ad189..b691c70 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -39,19 +39,19 @@ version = "0.0.0" click = ">=8.1.7,<8.2.0" grobidarticleextractor = "^0.7.0" pyyaml = "^6.0.2" -rdflib = "^7.1.3" +rdflib = "^7.6.0" pandas = "^2.2.3" weaviate-client = "^4.11.2" python-dotenv = "^1.0.1" -crewai = "1.8.1" -rich = "^13.9.4" -weave = "^0.51.39" -mlflow = "^3.5.0" -poetry = "^2.1.1" -spacy = ">=3.8.11,<3.9.0" -litellm = { version = ">=1.17.0,<1.60.0" } -transformers = ">=4.30.0,<4.46.0" -torch = "^2.10.0" +crewai = "1.9.3" +rich = "^14.3.4" +weave = "^0.53.0" +mlflow = "^3.14.0" +poetry = "^2.4.1" +spacy = ">=3.8.14,<3.9.0" +litellm = { version = ">=1.75.3,<1.76.0" } +transformers = ">=4.46.3,<4.47.0" +torch = "^2.12.1" json-repair = ">=0.25.2,<0.26.0" trustcall = "^0.0.39"