Runs a Pydantic `BaseSettings`, `BaseModel`, or `pydantic.dataclasses.dataclass` as a CLI application. Running a model as a CLI appli

Get the subcommand from a model. Args: model: The model to get the subcommand from. is_required: Determines whether a model

Get model description from json_schema_extra or __doc__ fallback. ``json_schema_extra.description`` takes precedence over ``__doc__`` to matc

Serializes the CLI arguments for a Pydantic data model. Args: model: The data model to serialize. list_style

Get alias names for a field, handling alias paths and case sensitivity.

Check if a type annotation contains any of the specified types.

Get fields from a pydantic model or dataclass.

Runs the model subcommand. Running a model subcommand requires the `cli_cmd` method to be defined in the nested model subcommand clas

Return a string containing a help message for a Pydantic model. Args: model: The model or model class. cli_s

Find out what sort of thing a path is.

Yield the secret files contained in ``path``. ``path`` is expected to already be resolved. The directory tree is walked explicitly so

Resolve a TypeAliasType to its underlying value, substituting type params if parameterized.

Check if a union type contains any complex types.

Decode the value for a complex field Args: field_name: The field name. field: The field. value:

Coerce environment string values based on field annotation if model config is `strict=True` or if the field annotation contains stric

Find out if a field is complex, and if so whether JSON errors should be ignored

Check if an object is a function.

A custom parsing function passed into env parsing test.

Process env_vars and extract the values of keys containing env_nested_delimiter into nested dictionaries. This is applied to a singl

Checks whether a field is complex, in which case it will attempt to be parsed as JSON. Args: field: The field.

Find the field in a sub model by key(env name) By having the following models: ```py class SubSubModel(Base

Recursively collect BaseModel subclasses from possibly nested union types.

Extracts field info. This info is used to get the value of field from environment variables. It returns a list of tuples, each tuple

Gets the value, the preferred alias key for model creation, and a flag to determine whether value is complex. Note:

Workaround for nested alias path environment variables not being handled. See https://github.com/pydantic/pydantic-settings/issues/67

Check if annotation is a Literal type containing numeric Enum members (IntEnum, (int, Enum), (float, Enum)).