{
  "repodata": {
    "build": "py312h48b8407_0",
    "build_number": 0,
    "constrains": [
      "azure-storage-file-datalake >12",
      "slowapi <1,>=0.1.9",
      "mlflow <0a0",
      "langchain >=0.3.19,<=1.2.9",
      "azureml-core >=1.2.0",
      "mlserver-mlflow >=1.2.0,!=1.3.1,<2.0.0",
      "watchfiles <2",
      "databricks-agents >=1.2.0,<2.0",
      "google-cloud-storage >=1.30.0",
      "mlserver >=1.2.0,!=1.3.1,<2.0.0",
      "uvicorn-standard <1",
      "tiktoken <1"
    ],
    "depends": [
      "aiohttp <4",
      "cachetools >=5.0.0,<8",
      "click >=7.0,<9",
      "cloudpickle <4",
      "databricks-sdk >=0.20.0,<1",
      "fastapi <1",
      "gitpython >=3.1.9,<4",
      "importlib-metadata >=3.7.0,<10,!=4.7.0",
      "opentelemetry-api >=1.9.0,<3",
      "opentelemetry-proto >=1.9.0,<3",
      "opentelemetry-sdk >=1.9.0,<3",
      "packaging <27",
      "protobuf >=3.12.0,<8",
      "pydantic >=2,<3",
      "python >=3.12,<3.13.0a0",
      "python-dotenv >=0.19.0,<2",
      "pyyaml >=5.1,<7",
      "requests >=2.17.3,<3",
      "sqlparse >=0.4.0,<1",
      "starlette <1",
      "typing-extensions >=4.0.0,<5",
      "uvicorn <1"
    ],
    "license": "Apache-2.0",
    "license_family": "APACHE",
    "md5": "7feafe0009683fb1811b55309df3559d",
    "name": "mlflow-skinny",
    "sha256": "c656855d701aac6a8f5b789de821cb700c55f591f7fe5f9e6964ce8a51a71491",
    "size": 6394446,
    "subdir": "win-64",
    "timestamp": 1778595677483,
    "version": "3.12.0"
  },
  "s3": "builds/ci/prefect/LWoMhvFASPCxo_USUz4dbQ/1778596226/win-64/mlflow-skinny-3.12.0-py312h48b8407_0.tar.bz2",
  "signatures": {
    "7e3910a4b96ef2fe7242b10587a47039c8924fadf98a69503d63445e88b984b3": "f873642308c60ef66fdc9b1143c760dc7166b2c5aa8bf6ae69e0b13658ab15b11941a9b813af7cf7d3ebda99b9e9f124a126f3182357a7b2874a52ac05defa07"
  }
}