{
  "repodata": {
    "build": "py313hd43f75c_0",
    "build_number": 0,
    "constrains": [
      "pydantic-ai-examples ==2.59.0"
    ],
    "depends": [
      "argcomplete >=3.5.0",
      "prompt-toolkit >=3",
      "pydantic-ai-slim 2.59.0 py313hd43f75c_0",
      "pyperclip >=1.9.0",
      "python >=3.13,<3.14.0a0",
      "python_abi 3.13.* *_cp313",
      "pyyaml >=6.0.2",
      "rich >=13"
    ],
    "license": "MIT",
    "license_family": "MIT",
    "md5": "932bb16f8a88f7b147d68e135a0e077d",
    "name": "pydantic-ai",
    "sha256": "648ed9b460951ceeaa895a276f1a8ac8c4313b189cf0d956b6bd621967de144b",
    "size": 18487,
    "subdir": "linux-aarch64",
    "timestamp": 1792671615937,
    "version": "2.59.0"
  },
  "s3": "builds/ci/prefect/Var0hrYIRjGvM5IldX6xjg/1792672074/linux-aarch64/pydantic-ai-2.59.0-py313hd43f75c_0.conda",
  "signatures": {
    "7e3910a4b96ef2fe7242b10587a47039c8924fadf98a69503d63445e88b984b3": "ac38f4abcca337216b83a8c5c6f829ba529391e7b3b553e983ef71119b1a43e3807c815c982e73a6a9cb15dad7fbf89c5346feae602839a04fa7bed623fa110c"
  }
}