{
  "info": {
    "subdir": "linux-aarch64"
  },
  "packages": {
    "pydantic-ai-2.59.0-py311hd43f75c_0.tar.bz2": {
      "build": "py311hd43f75c_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 py311hd43f75c_0",
        "pyperclip >=1.9.0",
        "python >=3.11,<3.12.0a0",
        "pyyaml >=6.0.2",
        "rich >=13"
      ],
      "license": "MIT",
      "license_family": "MIT",
      "md5": "9cfce4c857d5be8df12cd5e56380af9c",
      "name": "pydantic-ai",
      "sha256": "a194f816721095d132e98227618322ec5fcfedc69dae38775584c54bffc85a3e",
      "size": 17084,
      "subdir": "linux-aarch64",
      "timestamp": 1792750659431,
      "version": "2.59.0"
    },
    "pydantic-ai-2.59.0-py312hd43f75c_0.tar.bz2": {
      "build": "py312hd43f75c_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 py312hd43f75c_0",
        "pyperclip >=1.9.0",
        "python >=3.12,<3.13.0a0",
        "pyyaml >=6.0.2",
        "rich >=13"
      ],
      "license": "MIT",
      "license_family": "MIT",
      "md5": "7db363ac753372c0291e8e023c76cbad",
      "name": "pydantic-ai",
      "sha256": "d5d3ab6fc70765dbb509135cbb8f5c090f9ebe1cffc83254ce1c19b85a2e66de",
      "size": 17082,
      "subdir": "linux-aarch64",
      "timestamp": 1792750663565,
      "version": "2.59.0"
    },
    "pydantic-ai-2.59.0-py313hd43f75c_0.tar.bz2": {
      "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": "8760c80ba68e49e2c4ea6a06c153b10d",
      "name": "pydantic-ai",
      "sha256": "c5c75c09a34b2c9e926494629d18ee0162d95ddbc055ca832b0ce2db1e38ee21",
      "size": 17113,
      "subdir": "linux-aarch64",
      "timestamp": 1792750665383,
      "version": "2.59.0"
    },
    "pydantic-ai-2.59.0-py314hd43f75c_0.tar.bz2": {
      "build": "py314hd43f75c_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 py314hd43f75c_0",
        "pyperclip >=1.9.0",
        "python >=3.14,<3.15.0a0",
        "python_abi 3.14.* *_cp314",
        "pyyaml >=6.0.2",
        "rich >=13"
      ],
      "license": "MIT",
      "license_family": "MIT",
      "md5": "8213470c73b88a93ffaf5068d3818f13",
      "name": "pydantic-ai",
      "sha256": "93e254e5ae0e30bf342d161a29a0ffc160fdb890333cb919c6f8a2c7ccc3902a",
      "size": 17131,
      "subdir": "linux-aarch64",
      "timestamp": 1792750701202,
      "version": "2.59.0"
    },
    "pydantic-ai-slim-2.59.0-py311hd43f75c_0.tar.bz2": {
      "build": "py311hd43f75c_0",
      "build_number": 0,
      "constrains": [
        "ag-ui-protocol >=0.1.10,<1",
        "anthropic >=1.12.1",
        "argcomplete >=3.5.0",
        "boto3 >=1.42.63",
        "botocore >=1.42.63",
        "cohere >=0.50.6",
        "dbos >=2.10.0",
        "ddgs >=9.0.0",
        "exa-py >=2.0.0",
        "fastmcp-slim >3.3.0,<4",
        "fastmcp-tasks >=4.0.0b1,<5",
        "google-genai >=2.30.0",
        "groq >=0.25.0",
        "hf-xet <1.5.0",
        "httpx >=0.27",
        "huggingface-hub >=1.3.4,<2.0.0",
        "logfire >=4.39.0",
        "markdownify >=1.2",
        "mistralai >=2.9.2",
        "openai >=3.26.0",
        "opentelemetry-instrumentation-httpx >=0.65b0",
        "perfect >=3.7.5",
        "prompt-toolkit >=3",
        "pyperclip >=1.9.0",
        "pyyaml >=6.0.2",
        "rich >=13",
        "sentence-transformers >=5.2.0",
        "starlette >=0.46.2",
        "tavily-python >=0.5.0",
        "temporalio >=1.27.0",
        "tenacity >=8.2.3",
        "tiktoken >=0.12.0",
        "typesafe-sdk >=0.6.0",
        "uvicorn >=0.38.0",
        "voyageai >=0.3.7",
        "websockets >=14.0",
        "xai-sdk >=1.16.0"
      ],
      "depends": [
        "anyio >=4.7.0",
        "genai-prices >=0.1.13",
        "griffelib >=2.0",
        "httpx2 >=2.7",
        "opentelemetry-api >=1.28.0",
        "pydantic >=2.12",
        "pydantic-graph 2.59.0 py311hd43f75c_0",
        "python >=3.11,<3.12.0a0",
        "typing-inspection >=0.4.0"
      ],
      "license": "MIT",
      "license_family": "MIT",
      "md5": "9fe7463f94c6b70af4a7df5d63e72357",
      "name": "pydantic-ai-slim",
      "sha256": "bfe57dd715af0c8a570a9135468b78f578a913ac58f884e5ce5ccb523131780e",
      "size": 4286479,
      "subdir": "linux-aarch64",
      "timestamp": 1792750643587,
      "version": "2.59.0"
    },
    "pydantic-ai-slim-2.59.0-py312hd43f75c_0.tar.bz2": {
      "build": "py312hd43f75c_0",
      "build_number": 0,
      "constrains": [
        "ag-ui-protocol >=0.1.10,<1",
        "anthropic >=1.12.1",
        "argcomplete >=3.5.0",
        "boto3 >=1.42.63",
        "botocore >=1.42.63",
        "cohere >=0.50.6",
        "dbos >=2.10.0",
        "ddgs >=9.0.0",
        "exa-py >=2.0.0",
        "fastmcp-slim >3.3.0,<4",
        "fastmcp-tasks >=4.0.0b1,<5",
        "google-genai >=2.30.0",
        "groq >=0.25.0",
        "hf-xet <1.5.0",
        "httpx >=0.27",
        "huggingface-hub >=1.3.4,<2.0.0",
        "logfire >=4.39.0",
        "markdownify >=1.2",
        "mistralai >=2.9.2",
        "openai >=3.26.0",
        "opentelemetry-instrumentation-httpx >=0.65b0",
        "perfect >=3.7.5",
        "prompt-toolkit >=3",
        "pyperclip >=1.9.0",
        "pyyaml >=6.0.2",
        "rich >=13",
        "sentence-transformers >=5.2.0",
        "starlette >=0.46.2",
        "tavily-python >=0.5.0",
        "temporalio >=1.27.0",
        "tenacity >=8.2.3",
        "tiktoken >=0.12.0",
        "typesafe-sdk >=0.6.0",
        "uvicorn >=0.38.0",
        "voyageai >=0.3.7",
        "websockets >=14.0",
        "xai-sdk >=1.16.0"
      ],
      "depends": [
        "anyio >=4.7.0",
        "genai-prices >=0.1.13",
        "griffelib >=2.0",
        "httpx2 >=2.7",
        "opentelemetry-api >=1.28.0",
        "pydantic >=2.12",
        "pydantic-graph 2.59.0 py312hd43f75c_0",
        "python >=3.12,<3.13.0a0",
        "typing-inspection >=0.4.0"
      ],
      "license": "MIT",
      "license_family": "MIT",
      "md5": "eb73c1739b98b32abc07f11e27ea5fd0",
      "name": "pydantic-ai-slim",
      "sha256": "f71f638d27ea086b9fd26326dd725267640f227956879ec2c07bc6977e95c9b0",
      "size": 4219606,
      "subdir": "linux-aarch64",
      "timestamp": 1792750649245,
      "version": "2.59.0"
    },
    "pydantic-ai-slim-2.59.0-py313hd43f75c_0.tar.bz2": {
      "build": "py313hd43f75c_0",
      "build_number": 0,
      "constrains": [
        "ag-ui-protocol >=0.1.10,<1",
        "anthropic >=1.12.1",
        "argcomplete >=3.5.0",
        "boto3 >=1.42.63",
        "botocore >=1.42.63",
        "cohere >=0.50.6",
        "dbos >=2.10.0",
        "ddgs >=9.0.0",
        "exa-py >=2.0.0",
        "fastmcp-slim >3.3.0,<4",
        "fastmcp-tasks >=4.0.0b1,<5",
        "google-genai >=2.30.0",
        "groq >=0.25.0",
        "hf-xet <1.5.0",
        "httpx >=0.27",
        "huggingface-hub >=1.3.4,<2.0.0",
        "logfire >=4.39.0",
        "markdownify >=1.2",
        "mistralai >=2.9.2",
        "openai >=3.26.0",
        "opentelemetry-instrumentation-httpx >=0.65b0",
        "perfect >=3.7.5",
        "prompt-toolkit >=3",
        "pyperclip >=1.9.0",
        "pyyaml >=6.0.2",
        "rich >=13",
        "sentence-transformers >=5.2.0",
        "starlette >=0.46.2",
        "tavily-python >=0.5.0",
        "temporalio >=1.27.0",
        "tenacity >=8.2.3",
        "tiktoken >=0.12.0",
        "typesafe-sdk >=0.6.0",
        "uvicorn >=0.38.0",
        "voyageai >=0.3.7",
        "websockets >=14.0",
        "xai-sdk >=1.16.0"
      ],
      "depends": [
        "anyio >=4.7.0",
        "genai-prices >=0.1.13",
        "griffelib >=2.0",
        "httpx2 >=2.7",
        "opentelemetry-api >=1.28.0",
        "pydantic >=2.12",
        "pydantic-graph 2.59.0 py313hd43f75c_0",
        "python >=3.13,<3.14.0a0",
        "python_abi 3.13.* *_cp313",
        "typing-inspection >=0.4.0"
      ],
      "license": "MIT",
      "license_family": "MIT",
      "md5": "5f713d07f0419fdced374c0a4ba5eece",
      "name": "pydantic-ai-slim",
      "sha256": "799006f0a45585ee7dccba09bcea4ca7600e0008a9c036c7da73b112d38aa99b",
      "size": 4244026,
      "subdir": "linux-aarch64",
      "timestamp": 1792750649807,
      "version": "2.59.0"
    },
    "pydantic-ai-slim-2.59.0-py314hd43f75c_0.tar.bz2": {
      "build": "py314hd43f75c_0",
      "build_number": 0,
      "constrains": [
        "ag-ui-protocol >=0.1.10,<1",
        "anthropic >=1.12.1",
        "argcomplete >=3.5.0",
        "boto3 >=1.42.63",
        "botocore >=1.42.63",
        "cohere >=0.50.6",
        "dbos >=2.10.0",
        "ddgs >=9.0.0",
        "exa-py >=2.0.0",
        "fastmcp-slim >3.3.0,<4",
        "fastmcp-tasks >=4.0.0b1,<5",
        "google-genai >=2.30.0",
        "groq >=0.25.0",
        "hf-xet <1.5.0",
        "httpx >=0.27",
        "huggingface-hub >=1.3.4,<2.0.0",
        "logfire >=4.39.0",
        "markdownify >=1.2",
        "mistralai >=2.9.2",
        "openai >=3.26.0",
        "opentelemetry-instrumentation-httpx >=0.65b0",
        "perfect >=3.7.5",
        "prompt-toolkit >=3",
        "pyperclip >=1.9.0",
        "pyyaml >=6.0.2",
        "rich >=13",
        "sentence-transformers >=5.2.0",
        "starlette >=0.46.2",
        "tavily-python >=0.5.0",
        "temporalio >=1.27.0",
        "tenacity >=8.2.3",
        "tiktoken >=0.12.0",
        "typesafe-sdk >=0.6.0",
        "uvicorn >=0.38.0",
        "voyageai >=0.3.7",
        "websockets >=14.0",
        "xai-sdk >=1.16.0"
      ],
      "depends": [
        "anyio >=4.7.0",
        "genai-prices >=0.1.13",
        "griffelib >=2.0",
        "httpx2 >=2.7",
        "opentelemetry-api >=1.28.0",
        "pydantic >=2.12",
        "pydantic-graph 2.59.0 py314hd43f75c_0",
        "python >=3.14,<3.15.0a0",
        "python_abi 3.14.* *_cp314",
        "typing-inspection >=0.4.0"
      ],
      "license": "MIT",
      "license_family": "MIT",
      "md5": "a03b7c7139975403cc4438645a470221",
      "name": "pydantic-ai-slim",
      "sha256": "9bb5559cb308089c6187b8462af53dc5cd1a729a147a6674b2ec8f85b297c084",
      "size": 4466565,
      "subdir": "linux-aarch64",
      "timestamp": 1792750683165,
      "version": "2.59.0"
    },
    "pydantic-evals-2.59.0-py311hd43f75c_0.tar.bz2": {
      "build": "py311hd43f75c_0",
      "build_number": 0,
      "constrains": [
        "logfire >=3.14.1"
      ],
      "depends": [
        "anyio >=4.7.0",
        "logfire-api >=3.14.1",
        "pydantic >=2.12",
        "pydantic-ai-slim 2.59.0 py311hd43f75c_0",
        "python >=3.11,<3.12.0a0",
        "pyyaml >=6.0.2",
        "rich >=13.9.4"
      ],
      "license": "MIT",
      "license_family": "MIT",
      "md5": "37dffc30b12e633c3f558f11a60d2241",
      "name": "pydantic-evals",
      "sha256": "009cde998f8568af72d9e275dabfb4e2eebc35f2e1a8d24860c9ebdd69f77cc7",
      "size": 209018,
      "subdir": "linux-aarch64",
      "timestamp": 1792750667022,
      "version": "2.59.0"
    },
    "pydantic-evals-2.59.0-py312hd43f75c_0.tar.bz2": {
      "build": "py312hd43f75c_0",
      "build_number": 0,
      "constrains": [
        "logfire >=3.14.1"
      ],
      "depends": [
        "anyio >=4.7.0",
        "logfire-api >=3.14.1",
        "pydantic >=2.12",
        "pydantic-ai-slim 2.59.0 py312hd43f75c_0",
        "python >=3.12,<3.13.0a0",
        "pyyaml >=6.0.2",
        "rich >=13.9.4"
      ],
      "license": "MIT",
      "license_family": "MIT",
      "md5": "88438bdb2ff543a22b4b067e3a92d701",
      "name": "pydantic-evals",
      "sha256": "d3d206ac1855071a1dfeb60b6087b43dc7a46e2a802f7b046570992f1f80c4ab",
      "size": 204725,
      "subdir": "linux-aarch64",
      "timestamp": 1792750671029,
      "version": "2.59.0"
    },
    "pydantic-evals-2.59.0-py313hd43f75c_0.tar.bz2": {
      "build": "py313hd43f75c_0",
      "build_number": 0,
      "constrains": [
        "logfire >=3.14.1"
      ],
      "depends": [
        "anyio >=4.7.0",
        "logfire-api >=3.14.1",
        "pydantic >=2.12",
        "pydantic-ai-slim 2.59.0 py313hd43f75c_0",
        "python >=3.13,<3.14.0a0",
        "python_abi 3.13.* *_cp313",
        "pyyaml >=6.0.2",
        "rich >=13.9.4"
      ],
      "license": "MIT",
      "license_family": "MIT",
      "md5": "bb006ba9e28e987278707009ecc4e552",
      "name": "pydantic-evals",
      "sha256": "7f1e76160a4fd4520115b36be4791a6b4ea12619c6a9c15f810a06a08567a76f",
      "size": 207524,
      "subdir": "linux-aarch64",
      "timestamp": 1792750673012,
      "version": "2.59.0"
    },
    "pydantic-evals-2.59.0-py314hd43f75c_0.tar.bz2": {
      "build": "py314hd43f75c_0",
      "build_number": 0,
      "constrains": [
        "logfire >=3.14.1"
      ],
      "depends": [
        "anyio >=4.7.0",
        "logfire-api >=3.14.1",
        "pydantic >=2.12",
        "pydantic-ai-slim 2.59.0 py314hd43f75c_0",
        "python >=3.14,<3.15.0a0",
        "python_abi 3.14.* *_cp314",
        "pyyaml >=6.0.2",
        "rich >=13.9.4"
      ],
      "license": "MIT",
      "license_family": "MIT",
      "md5": "3e554a2d48f9f783208992e7bb70dedd",
      "name": "pydantic-evals",
      "sha256": "40af4c8e1c3e1fab80d8f218b7bc59af04cbb2bbdd041982efa99ce4d8b65178",
      "size": 216864,
      "subdir": "linux-aarch64",
      "timestamp": 1792750709610,
      "version": "2.59.0"
    },
    "pydantic-graph-2.59.0-py311hd43f75c_0.tar.bz2": {
      "build": "py311hd43f75c_0",
      "build_number": 0,
      "depends": [
        "anyio >=4.7.0",
        "logfire-api >=3.14.1",
        "pydantic >=2.12",
        "python >=3.11,<3.12.0a0",
        "typing-inspection >=0.4.0"
      ],
      "license": "MIT",
      "license_family": "MIT",
      "md5": "a65a2285bfd9f8b0ba22e2adb648961a",
      "name": "pydantic-graph",
      "sha256": "529753827bf86c222bc7cbf37d44f3f4b21a4fb3bb76a31661d392cb8b67ada5",
      "size": 105547,
      "subdir": "linux-aarch64",
      "timestamp": 1792750632778,
      "version": "2.59.0"
    },
    "pydantic-graph-2.59.0-py312hd43f75c_0.tar.bz2": {
      "build": "py312hd43f75c_0",
      "build_number": 0,
      "depends": [
        "anyio >=4.7.0",
        "logfire-api >=3.14.1",
        "pydantic >=2.12",
        "python >=3.12,<3.13.0a0",
        "typing-inspection >=0.4.0"
      ],
      "license": "MIT",
      "license_family": "MIT",
      "md5": "62d68efdd7cb1a916f541f2c7f65ff1c",
      "name": "pydantic-graph",
      "sha256": "21f4c663df1651762e42a02f9925d6cb967b2b2e78b6edef7b9725c56b224892",
      "size": 103349,
      "subdir": "linux-aarch64",
      "timestamp": 1792750638504,
      "version": "2.59.0"
    },
    "pydantic-graph-2.59.0-py313hd43f75c_0.tar.bz2": {
      "build": "py313hd43f75c_0",
      "build_number": 0,
      "depends": [
        "anyio >=4.7.0",
        "logfire-api >=3.14.1",
        "pydantic >=2.12",
        "python >=3.13,<3.14.0a0",
        "python_abi 3.13.* *_cp313",
        "typing-inspection >=0.4.0"
      ],
      "license": "MIT",
      "license_family": "MIT",
      "md5": "b2c8111c3ee7f1414290fc279494ca16",
      "name": "pydantic-graph",
      "sha256": "89d4e983762454cd05240db113ca80ba733d7c2d1732ef684808ba9154a92ad2",
      "size": 105155,
      "subdir": "linux-aarch64",
      "timestamp": 1792750639047,
      "version": "2.59.0"
    },
    "pydantic-graph-2.59.0-py314hd43f75c_0.tar.bz2": {
      "build": "py314hd43f75c_0",
      "build_number": 0,
      "depends": [
        "anyio >=4.7.0",
        "logfire-api >=3.14.1",
        "pydantic >=2.12",
        "python >=3.14,<3.15.0a0",
        "python_abi 3.14.* *_cp314",
        "typing-inspection >=0.4.0"
      ],
      "license": "MIT",
      "license_family": "MIT",
      "md5": "f9db33b93b1cde972745c7b86900810e",
      "name": "pydantic-graph",
      "sha256": "3572d2d1b862c13af713f6a9daa9beddaf5d8332f4b64562566dd87fb07fcbfa",
      "size": 109702,
      "subdir": "linux-aarch64",
      "timestamp": 1792750671730,
      "version": "2.59.0"
    }
  },
  "packages.conda": {
    "pydantic-ai-2.59.0-py311hd43f75c_0.conda": {
      "build": "py311hd43f75c_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 py311hd43f75c_0",
        "pyperclip >=1.9.0",
        "python >=3.11,<3.12.0a0",
        "pyyaml >=6.0.2",
        "rich >=13"
      ],
      "license": "MIT",
      "license_family": "MIT",
      "md5": "bb6e9298ea1ba0ce192b3db6dd7ea481",
      "name": "pydantic-ai",
      "sha256": "774b1be403af3778f8f180a92cbf2720476957930a2d386bf76c6deec9fb197b",
      "size": 18420,
      "subdir": "linux-aarch64",
      "timestamp": 1792750659431,
      "version": "2.59.0"
    },
    "pydantic-ai-2.59.0-py312hd43f75c_0.conda": {
      "build": "py312hd43f75c_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 py312hd43f75c_0",
        "pyperclip >=1.9.0",
        "python >=3.12,<3.13.0a0",
        "pyyaml >=6.0.2",
        "rich >=13"
      ],
      "license": "MIT",
      "license_family": "MIT",
      "md5": "c52fdfd803542039ebdd4bfcb86df1ea",
      "name": "pydantic-ai",
      "sha256": "3c02988c4d788a1698ca6fb11e547c386ff945c06022959f319c8691de53f86e",
      "size": 18412,
      "subdir": "linux-aarch64",
      "timestamp": 1792750663565,
      "version": "2.59.0"
    },
    "pydantic-ai-2.59.0-py313hd43f75c_0.conda": {
      "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": "4ba28491711972135a46ba95674558c0",
      "name": "pydantic-ai",
      "sha256": "a56ff6b4f317c28ad37dcf2d2cf7ba3e515538704d1615d0910bd58e6ef09cb8",
      "size": 18450,
      "subdir": "linux-aarch64",
      "timestamp": 1792750665383,
      "version": "2.59.0"
    },
    "pydantic-ai-2.59.0-py314hd43f75c_0.conda": {
      "build": "py314hd43f75c_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 py314hd43f75c_0",
        "pyperclip >=1.9.0",
        "python >=3.14,<3.15.0a0",
        "python_abi 3.14.* *_cp314",
        "pyyaml >=6.0.2",
        "rich >=13"
      ],
      "license": "MIT",
      "license_family": "MIT",
      "md5": "0d7936109806619c24c9cb84ff90de4f",
      "name": "pydantic-ai",
      "sha256": "277348f8a17fb13637cad08205e58d7e34a1115cd05110bf08a8ebb4a035eb49",
      "size": 18365,
      "subdir": "linux-aarch64",
      "timestamp": 1792750701202,
      "version": "2.59.0"
    },
    "pydantic-ai-slim-2.59.0-py311hd43f75c_0.conda": {
      "build": "py311hd43f75c_0",
      "build_number": 0,
      "constrains": [
        "ag-ui-protocol >=0.1.10,<1",
        "anthropic >=1.12.1",
        "argcomplete >=3.5.0",
        "boto3 >=1.42.63",
        "botocore >=1.42.63",
        "cohere >=0.50.6",
        "dbos >=2.10.0",
        "ddgs >=9.0.0",
        "exa-py >=2.0.0",
        "fastmcp-slim >3.3.0,<4",
        "fastmcp-tasks >=4.0.0b1,<5",
        "google-genai >=2.30.0",
        "groq >=0.25.0",
        "hf-xet <1.5.0",
        "httpx >=0.27",
        "huggingface-hub >=1.3.4,<2.0.0",
        "logfire >=4.39.0",
        "markdownify >=1.2",
        "mistralai >=2.9.2",
        "openai >=3.26.0",
        "opentelemetry-instrumentation-httpx >=0.65b0",
        "perfect >=3.7.5",
        "prompt-toolkit >=3",
        "pyperclip >=1.9.0",
        "pyyaml >=6.0.2",
        "rich >=13",
        "sentence-transformers >=5.2.0",
        "starlette >=0.46.2",
        "tavily-python >=0.5.0",
        "temporalio >=1.27.0",
        "tenacity >=8.2.3",
        "tiktoken >=0.12.0",
        "typesafe-sdk >=0.6.0",
        "uvicorn >=0.38.0",
        "voyageai >=0.3.7",
        "websockets >=14.0",
        "xai-sdk >=1.16.0"
      ],
      "depends": [
        "anyio >=4.7.0",
        "genai-prices >=0.1.13",
        "griffelib >=2.0",
        "httpx2 >=2.7",
        "opentelemetry-api >=1.28.0",
        "pydantic >=2.12",
        "pydantic-graph 2.59.0 py311hd43f75c_0",
        "python >=3.11,<3.12.0a0",
        "typing-inspection >=0.4.0"
      ],
      "license": "MIT",
      "license_family": "MIT",
      "md5": "3b6b5e7ce38ea594352a320032ddb6de",
      "name": "pydantic-ai-slim",
      "sha256": "5988c7ede634f46ad4a7c90dfe5b10d4259ecd7cf986ee87c687c38a07eaa7e4",
      "size": 3549807,
      "subdir": "linux-aarch64",
      "timestamp": 1792750643587,
      "version": "2.59.0"
    },
    "pydantic-ai-slim-2.59.0-py312hd43f75c_0.conda": {
      "build": "py312hd43f75c_0",
      "build_number": 0,
      "constrains": [
        "ag-ui-protocol >=0.1.10,<1",
        "anthropic >=1.12.1",
        "argcomplete >=3.5.0",
        "boto3 >=1.42.63",
        "botocore >=1.42.63",
        "cohere >=0.50.6",
        "dbos >=2.10.0",
        "ddgs >=9.0.0",
        "exa-py >=2.0.0",
        "fastmcp-slim >3.3.0,<4",
        "fastmcp-tasks >=4.0.0b1,<5",
        "google-genai >=2.30.0",
        "groq >=0.25.0",
        "hf-xet <1.5.0",
        "httpx >=0.27",
        "huggingface-hub >=1.3.4,<2.0.0",
        "logfire >=4.39.0",
        "markdownify >=1.2",
        "mistralai >=2.9.2",
        "openai >=3.26.0",
        "opentelemetry-instrumentation-httpx >=0.65b0",
        "perfect >=3.7.5",
        "prompt-toolkit >=3",
        "pyperclip >=1.9.0",
        "pyyaml >=6.0.2",
        "rich >=13",
        "sentence-transformers >=5.2.0",
        "starlette >=0.46.2",
        "tavily-python >=0.5.0",
        "temporalio >=1.27.0",
        "tenacity >=8.2.3",
        "tiktoken >=0.12.0",
        "typesafe-sdk >=0.6.0",
        "uvicorn >=0.38.0",
        "voyageai >=0.3.7",
        "websockets >=14.0",
        "xai-sdk >=1.16.0"
      ],
      "depends": [
        "anyio >=4.7.0",
        "genai-prices >=0.1.13",
        "griffelib >=2.0",
        "httpx2 >=2.7",
        "opentelemetry-api >=1.28.0",
        "pydantic >=2.12",
        "pydantic-graph 2.59.0 py312hd43f75c_0",
        "python >=3.12,<3.13.0a0",
        "typing-inspection >=0.4.0"
      ],
      "license": "MIT",
      "license_family": "MIT",
      "md5": "8a517875b058a549aaea111fa137b602",
      "name": "pydantic-ai-slim",
      "sha256": "d807667cc7ffdb3eacfccd4c1bffff12833e95c88d84045729b7809a3ed58e69",
      "size": 3547481,
      "subdir": "linux-aarch64",
      "timestamp": 1792750649245,
      "version": "2.59.0"
    },
    "pydantic-ai-slim-2.59.0-py313hd43f75c_0.conda": {
      "build": "py313hd43f75c_0",
      "build_number": 0,
      "constrains": [
        "ag-ui-protocol >=0.1.10,<1",
        "anthropic >=1.12.1",
        "argcomplete >=3.5.0",
        "boto3 >=1.42.63",
        "botocore >=1.42.63",
        "cohere >=0.50.6",
        "dbos >=2.10.0",
        "ddgs >=9.0.0",
        "exa-py >=2.0.0",
        "fastmcp-slim >3.3.0,<4",
        "fastmcp-tasks >=4.0.0b1,<5",
        "google-genai >=2.30.0",
        "groq >=0.25.0",
        "hf-xet <1.5.0",
        "httpx >=0.27",
        "huggingface-hub >=1.3.4,<2.0.0",
        "logfire >=4.39.0",
        "markdownify >=1.2",
        "mistralai >=2.9.2",
        "openai >=3.26.0",
        "opentelemetry-instrumentation-httpx >=0.65b0",
        "perfect >=3.7.5",
        "prompt-toolkit >=3",
        "pyperclip >=1.9.0",
        "pyyaml >=6.0.2",
        "rich >=13",
        "sentence-transformers >=5.2.0",
        "starlette >=0.46.2",
        "tavily-python >=0.5.0",
        "temporalio >=1.27.0",
        "tenacity >=8.2.3",
        "tiktoken >=0.12.0",
        "typesafe-sdk >=0.6.0",
        "uvicorn >=0.38.0",
        "voyageai >=0.3.7",
        "websockets >=14.0",
        "xai-sdk >=1.16.0"
      ],
      "depends": [
        "anyio >=4.7.0",
        "genai-prices >=0.1.13",
        "griffelib >=2.0",
        "httpx2 >=2.7",
        "opentelemetry-api >=1.28.0",
        "pydantic >=2.12",
        "pydantic-graph 2.59.0 py313hd43f75c_0",
        "python >=3.13,<3.14.0a0",
        "python_abi 3.13.* *_cp313",
        "typing-inspection >=0.4.0"
      ],
      "license": "MIT",
      "license_family": "MIT",
      "md5": "d6357574300f684a29fecc1d61ae195d",
      "name": "pydantic-ai-slim",
      "sha256": "d46e98fe2a0182788db20c0d7a76665684cc6a0ef8dcf599869332213c3320f4",
      "size": 3620866,
      "subdir": "linux-aarch64",
      "timestamp": 1792750649807,
      "version": "2.59.0"
    },
    "pydantic-ai-slim-2.59.0-py314hd43f75c_0.conda": {
      "build": "py314hd43f75c_0",
      "build_number": 0,
      "constrains": [
        "ag-ui-protocol >=0.1.10,<1",
        "anthropic >=1.12.1",
        "argcomplete >=3.5.0",
        "boto3 >=1.42.63",
        "botocore >=1.42.63",
        "cohere >=0.50.6",
        "dbos >=2.10.0",
        "ddgs >=9.0.0",
        "exa-py >=2.0.0",
        "fastmcp-slim >3.3.0,<4",
        "fastmcp-tasks >=4.0.0b1,<5",
        "google-genai >=2.30.0",
        "groq >=0.25.0",
        "hf-xet <1.5.0",
        "httpx >=0.27",
        "huggingface-hub >=1.3.4,<2.0.0",
        "logfire >=4.39.0",
        "markdownify >=1.2",
        "mistralai >=2.9.2",
        "openai >=3.26.0",
        "opentelemetry-instrumentation-httpx >=0.65b0",
        "perfect >=3.7.5",
        "prompt-toolkit >=3",
        "pyperclip >=1.9.0",
        "pyyaml >=6.0.2",
        "rich >=13",
        "sentence-transformers >=5.2.0",
        "starlette >=0.46.2",
        "tavily-python >=0.5.0",
        "temporalio >=1.27.0",
        "tenacity >=8.2.3",
        "tiktoken >=0.12.0",
        "typesafe-sdk >=0.6.0",
        "uvicorn >=0.38.0",
        "voyageai >=0.3.7",
        "websockets >=14.0",
        "xai-sdk >=1.16.0"
      ],
      "depends": [
        "anyio >=4.7.0",
        "genai-prices >=0.1.13",
        "griffelib >=2.0",
        "httpx2 >=2.7",
        "opentelemetry-api >=1.28.0",
        "pydantic >=2.12",
        "pydantic-graph 2.59.0 py314hd43f75c_0",
        "python >=3.14,<3.15.0a0",
        "python_abi 3.14.* *_cp314",
        "typing-inspection >=0.4.0"
      ],
      "license": "MIT",
      "license_family": "MIT",
      "md5": "42761d833f826a4e2abbbc9091affdbb",
      "name": "pydantic-ai-slim",
      "sha256": "47a12e5531888a735cc338bb96c5f99f822b9e73540da68e9b9a77d769c91744",
      "size": 3810848,
      "subdir": "linux-aarch64",
      "timestamp": 1792750683165,
      "version": "2.59.0"
    },
    "pydantic-evals-2.59.0-py311hd43f75c_0.conda": {
      "build": "py311hd43f75c_0",
      "build_number": 0,
      "constrains": [
        "logfire >=3.14.1"
      ],
      "depends": [
        "anyio >=4.7.0",
        "logfire-api >=3.14.1",
        "pydantic >=2.12",
        "pydantic-ai-slim 2.59.0 py311hd43f75c_0",
        "python >=3.11,<3.12.0a0",
        "pyyaml >=6.0.2",
        "rich >=13.9.4"
      ],
      "license": "MIT",
      "license_family": "MIT",
      "md5": "3c3393f522a5c7a4afc5a732d09c276c",
      "name": "pydantic-evals",
      "sha256": "015f32359f8ea76198bfd2a6fa0d40403f822a50028541a3833387e270d20943",
      "size": 216402,
      "subdir": "linux-aarch64",
      "timestamp": 1792750667022,
      "version": "2.59.0"
    },
    "pydantic-evals-2.59.0-py312hd43f75c_0.conda": {
      "build": "py312hd43f75c_0",
      "build_number": 0,
      "constrains": [
        "logfire >=3.14.1"
      ],
      "depends": [
        "anyio >=4.7.0",
        "logfire-api >=3.14.1",
        "pydantic >=2.12",
        "pydantic-ai-slim 2.59.0 py312hd43f75c_0",
        "python >=3.12,<3.13.0a0",
        "pyyaml >=6.0.2",
        "rich >=13.9.4"
      ],
      "license": "MIT",
      "license_family": "MIT",
      "md5": "78284e075bc86ba58e333c8d7fdb85a9",
      "name": "pydantic-evals",
      "sha256": "3839b92e795202b858361dca900d661cb3f86ae8c17f763fb61968f840c36af1",
      "size": 212911,
      "subdir": "linux-aarch64",
      "timestamp": 1792750671029,
      "version": "2.59.0"
    },
    "pydantic-evals-2.59.0-py313hd43f75c_0.conda": {
      "build": "py313hd43f75c_0",
      "build_number": 0,
      "constrains": [
        "logfire >=3.14.1"
      ],
      "depends": [
        "anyio >=4.7.0",
        "logfire-api >=3.14.1",
        "pydantic >=2.12",
        "pydantic-ai-slim 2.59.0 py313hd43f75c_0",
        "python >=3.13,<3.14.0a0",
        "python_abi 3.13.* *_cp313",
        "pyyaml >=6.0.2",
        "rich >=13.9.4"
      ],
      "license": "MIT",
      "license_family": "MIT",
      "md5": "f94f54eb2d4f35a16b4429ceb01e0bec",
      "name": "pydantic-evals",
      "sha256": "a154cdfb28b05a249821c1435e1a385500bb504faeb68cc836f2281d6dbe37a3",
      "size": 217894,
      "subdir": "linux-aarch64",
      "timestamp": 1792750673012,
      "version": "2.59.0"
    },
    "pydantic-evals-2.59.0-py314hd43f75c_0.conda": {
      "build": "py314hd43f75c_0",
      "build_number": 0,
      "constrains": [
        "logfire >=3.14.1"
      ],
      "depends": [
        "anyio >=4.7.0",
        "logfire-api >=3.14.1",
        "pydantic >=2.12",
        "pydantic-ai-slim 2.59.0 py314hd43f75c_0",
        "python >=3.14,<3.15.0a0",
        "python_abi 3.14.* *_cp314",
        "pyyaml >=6.0.2",
        "rich >=13.9.4"
      ],
      "license": "MIT",
      "license_family": "MIT",
      "md5": "607c112eb80298b66465c0e0649cf095",
      "name": "pydantic-evals",
      "sha256": "f3ac4cdde877bb971cbdf1710154de25a05a94b9ded3f739446a109dd9e09328",
      "size": 225934,
      "subdir": "linux-aarch64",
      "timestamp": 1792750709610,
      "version": "2.59.0"
    },
    "pydantic-graph-2.59.0-py311hd43f75c_0.conda": {
      "build": "py311hd43f75c_0",
      "build_number": 0,
      "depends": [
        "anyio >=4.7.0",
        "logfire-api >=3.14.1",
        "pydantic >=2.12",
        "python >=3.11,<3.12.0a0",
        "typing-inspection >=0.4.0"
      ],
      "license": "MIT",
      "license_family": "MIT",
      "md5": "248acbbe2a7eefcdb8dc0103f31893db",
      "name": "pydantic-graph",
      "sha256": "22274b811033690fabf2e04088c0b0b3624d8d230e55f50c1c72cf539cdfbf40",
      "size": 107967,
      "subdir": "linux-aarch64",
      "timestamp": 1792750632778,
      "version": "2.59.0"
    },
    "pydantic-graph-2.59.0-py312hd43f75c_0.conda": {
      "build": "py312hd43f75c_0",
      "build_number": 0,
      "depends": [
        "anyio >=4.7.0",
        "logfire-api >=3.14.1",
        "pydantic >=2.12",
        "python >=3.12,<3.13.0a0",
        "typing-inspection >=0.4.0"
      ],
      "license": "MIT",
      "license_family": "MIT",
      "md5": "720ed00442906fefa7396dfa4019a5bc",
      "name": "pydantic-graph",
      "sha256": "cf137c671fb7446c0ea9839dabbab4b23fd5846a009ecc226019ba60fcea6f7d",
      "size": 106694,
      "subdir": "linux-aarch64",
      "timestamp": 1792750638504,
      "version": "2.59.0"
    },
    "pydantic-graph-2.59.0-py313hd43f75c_0.conda": {
      "build": "py313hd43f75c_0",
      "build_number": 0,
      "depends": [
        "anyio >=4.7.0",
        "logfire-api >=3.14.1",
        "pydantic >=2.12",
        "python >=3.13,<3.14.0a0",
        "python_abi 3.13.* *_cp313",
        "typing-inspection >=0.4.0"
      ],
      "license": "MIT",
      "license_family": "MIT",
      "md5": "3214dc8d96b519b56ee9eb681b9bc9ba",
      "name": "pydantic-graph",
      "sha256": "a2cec023e89a2ba8de7dfaac17894aaea1f4eb896cc01ccbb1abb711fef65672",
      "size": 108180,
      "subdir": "linux-aarch64",
      "timestamp": 1792750639047,
      "version": "2.59.0"
    },
    "pydantic-graph-2.59.0-py314hd43f75c_0.conda": {
      "build": "py314hd43f75c_0",
      "build_number": 0,
      "depends": [
        "anyio >=4.7.0",
        "logfire-api >=3.14.1",
        "pydantic >=2.12",
        "python >=3.14,<3.15.0a0",
        "python_abi 3.14.* *_cp314",
        "typing-inspection >=0.4.0"
      ],
      "license": "MIT",
      "license_family": "MIT",
      "md5": "a392d9f1117667a0311dc5cc912cde81",
      "name": "pydantic-graph",
      "sha256": "1c71bf4d21c9f863058f65acc27c7f4822c51c4467b08f6dea75f7456a4ddfe9",
      "size": 113964,
      "subdir": "linux-aarch64",
      "timestamp": 1792750671730,
      "version": "2.59.0"
    }
  },
  "removed": [],
  "repodata_version": 1
}