from collections.abc import Mapping from typing import TYPE_CHECKING, Any, TypeVar, Union from attrs import define as _attrs_define from attrs import field as _attrs_field from ..types import UNSET, Unset if TYPE_CHECKING: from ..models.model_cost import ModelCost from ..models.model_limit import ModelLimit from ..models.model_options import ModelOptions from ..models.model_provider import ModelProvider T = TypeVar("T", bound="Model") @_attrs_define class Model: """ Attributes: id (str): name (str): release_date (str): attachment (bool): reasoning (bool): temperature (bool): tool_call (bool): cost (ModelCost): limit (ModelLimit): options (ModelOptions): experimental (Union[Unset, bool]): provider (Union[Unset, ModelProvider]): """ id: str name: str release_date: str attachment: bool reasoning: bool temperature: bool tool_call: bool cost: "ModelCost" limit: "ModelLimit" options: "ModelOptions" experimental: Union[Unset, bool] = UNSET provider: Union[Unset, "ModelProvider"] = UNSET additional_properties: dict[str, Any] = _attrs_field(init=False, factory=dict) def to_dict(self) -> dict[str, Any]: id = self.id name = self.name release_date = self.release_date attachment = self.attachment reasoning = self.reasoning temperature = self.temperature tool_call = self.tool_call cost = self.cost.to_dict() limit = self.limit.to_dict() options = self.options.to_dict() experimental = self.experimental provider: Union[Unset, dict[str, Any]] = UNSET if not isinstance(self.provider, Unset): provider = self.provider.to_dict() field_dict: dict[str, Any] = {} field_dict.update(self.additional_properties) field_dict.update( { "id": id, "name": name, "release_date": release_date, "attachment": attachment, "reasoning": reasoning, "temperature": temperature, "tool_call": tool_call, "cost": cost, "limit": limit, "options": options, } ) if experimental is not UNSET: field_dict["experimental"] = experimental if provider is not UNSET: field_dict["provider"] = provider return field_dict @classmethod def from_dict(cls: type[T], src_dict: Mapping[str, Any]) -> T: from ..models.model_cost import ModelCost from ..models.model_limit import ModelLimit from ..models.model_options import ModelOptions from ..models.model_provider import ModelProvider d = dict(src_dict) id = d.pop("id") name = d.pop("name") release_date = d.pop("release_date") attachment = d.pop("attachment") reasoning = d.pop("reasoning") temperature = d.pop("temperature") tool_call = d.pop("tool_call") cost = ModelCost.from_dict(d.pop("cost")) limit = ModelLimit.from_dict(d.pop("limit")) options = ModelOptions.from_dict(d.pop("options")) experimental = d.pop("experimental", UNSET) _provider = d.pop("provider", UNSET) provider: Union[Unset, ModelProvider] if isinstance(_provider, Unset): provider = UNSET else: provider = ModelProvider.from_dict(_provider) model = cls( id=id, name=name, release_date=release_date, attachment=attachment, reasoning=reasoning, temperature=temperature, tool_call=tool_call, cost=cost, limit=limit, options=options, experimental=experimental, provider=provider, ) model.additional_properties = d return model @property def additional_keys(self) -> list[str]: return list(self.additional_properties.keys()) def __getitem__(self, key: str) -> Any: return self.additional_properties[key] def __setitem__(self, key: str, value: Any) -> None: self.additional_properties[key] = value def __delitem__(self, key: str) -> None: del self.additional_properties[key] def __contains__(self, key: str) -> bool: return key in self.additional_properties