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

import typing

import pydantic
from ..core.pydantic_utilities import IS_PYDANTIC_V2
from ..core.unchecked_base_model import UncheckedBaseModel


class AgentKnowledgeBaseRagQueryRequestModel(UncheckedBaseModel):
    query: str = pydantic.Field()
    """
    Query to run against the agent's knowledge base RAG index.
    """

    use_agent_defaults: typing.Optional[bool] = pydantic.Field(default=None)
    """
    When true (the default), retrieval uses the agent's own RAG settings, reproducing exactly what the agent would retrieve. Set to false to retrieve with neutral default RAG settings instead (the agent's embedding model is always kept, since it determines which vector index exists). Useful for auditing the knowledge base independently of how a particular agent is tuned.
    """

    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
