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

import typing
from json.decoder import JSONDecodeError

from ......core.api_error import ApiError
from ......core.client_wrapper import AsyncClientWrapper, SyncClientWrapper
from ......core.http_response import AsyncHttpResponse, HttpResponse
from ......core.request_options import RequestOptions
from ......core.unchecked_base_model import construct_type
from ......errors.bad_request_error import BadRequestError
from ......types.agent_think_models_v1response import AgentThinkModelsV1Response


class RawModelsClient:
    def __init__(self, *, client_wrapper: SyncClientWrapper):
        self._client_wrapper = client_wrapper

    def list(
        self, *, request_options: typing.Optional[RequestOptions] = None
    ) -> HttpResponse[AgentThinkModelsV1Response]:
        """
        Retrieves the available think models that can be used for AI agent processing

        Parameters
        ----------
        request_options : typing.Optional[RequestOptions]
            Request-specific configuration.

        Returns
        -------
        HttpResponse[AgentThinkModelsV1Response]
            List of available think models
        """
        _response = self._client_wrapper.httpx_client.request(
            "v1/agent/settings/think/models",
            base_url=self._client_wrapper.get_environment().base,
            method="GET",
            request_options=request_options,
        )
        try:
            if 200 <= _response.status_code < 300:
                _data = typing.cast(
                    AgentThinkModelsV1Response,
                    construct_type(
                        type_=AgentThinkModelsV1Response,  # type: ignore
                        object_=_response.json(),
                    ),
                )
                return HttpResponse(response=_response, data=_data)
            if _response.status_code == 400:
                raise BadRequestError(
                    headers=dict(_response.headers),
                    body=typing.cast(
                        typing.Any,
                        construct_type(
                            type_=typing.Any,  # type: ignore
                            object_=_response.json(),
                        ),
                    ),
                )
            _response_json = _response.json()
        except JSONDecodeError:
            raise ApiError(status_code=_response.status_code, headers=dict(_response.headers), body=_response.text)
        raise ApiError(status_code=_response.status_code, headers=dict(_response.headers), body=_response_json)


class AsyncRawModelsClient:
    def __init__(self, *, client_wrapper: AsyncClientWrapper):
        self._client_wrapper = client_wrapper

    async def list(
        self, *, request_options: typing.Optional[RequestOptions] = None
    ) -> AsyncHttpResponse[AgentThinkModelsV1Response]:
        """
        Retrieves the available think models that can be used for AI agent processing

        Parameters
        ----------
        request_options : typing.Optional[RequestOptions]
            Request-specific configuration.

        Returns
        -------
        AsyncHttpResponse[AgentThinkModelsV1Response]
            List of available think models
        """
        _response = await self._client_wrapper.httpx_client.request(
            "v1/agent/settings/think/models",
            base_url=self._client_wrapper.get_environment().base,
            method="GET",
            request_options=request_options,
        )
        try:
            if 200 <= _response.status_code < 300:
                _data = typing.cast(
                    AgentThinkModelsV1Response,
                    construct_type(
                        type_=AgentThinkModelsV1Response,  # type: ignore
                        object_=_response.json(),
                    ),
                )
                return AsyncHttpResponse(response=_response, data=_data)
            if _response.status_code == 400:
                raise BadRequestError(
                    headers=dict(_response.headers),
                    body=typing.cast(
                        typing.Any,
                        construct_type(
                            type_=typing.Any,  # type: ignore
                            object_=_response.json(),
                        ),
                    ),
                )
            _response_json = _response.json()
        except JSONDecodeError:
            raise ApiError(status_code=_response.status_code, headers=dict(_response.headers), body=_response.text)
        raise ApiError(status_code=_response.status_code, headers=dict(_response.headers), body=_response_json)