# 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
from .agent_knowledge_base_rag_chunk_response_model import AgentKnowledgeBaseRagChunkResponseModel


class AgentKnowledgeBaseRagQueryResponseModel(UncheckedBaseModel):
    retrieval_query: str = pydantic.Field()
    """
    Raw query used for retrieval (echoes the request query).
    """

    chunks: typing.List[AgentKnowledgeBaseRagChunkResponseModel] = pydantic.Field()
    """
    Ranked chunks the agent would retrieve, after distance and length filtering.
    """

    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
