# This file was auto-generated by Fern from our API Definition.

from ..core.pydantic_utilities import UniversalBaseModel
import typing
import pydantic
from ..core.pydantic_utilities import IS_PYDANTIC_V2


class PipelineConfigurationHashes(UniversalBaseModel):
    """
    Hashes for the configuration of a pipeline.
    """

    embedding_config_hash: typing.Optional[str] = pydantic.Field(default=None)
    """
    Hash of the embedding config.
    """

    parsing_config_hash: typing.Optional[str] = pydantic.Field(default=None)
    """
    Hash of the llama parse parameters.
    """

    transform_config_hash: typing.Optional[str] = pydantic.Field(default=None)
    """
    Hash of the transform config.
    """

    if IS_PYDANTIC_V2:
        model_config: typing.ClassVar[pydantic.ConfigDict] = pydantic.ConfigDict(extra="allow", frozen=True)  # type: ignore # Pydantic v2
    else:

        class Config:
            frozen = True
            smart_union = True
            extra = pydantic.Extra.allow
