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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
|
