from collections.abc import Mapping from typing import TYPE_CHECKING, Any, TypeVar from attrs import define as _attrs_define from attrs import field as _attrs_field if TYPE_CHECKING: from ..models.function_parameters import FunctionParameters T = TypeVar("T", bound="Function") @_attrs_define class Function: """Function definition compatible with OpenAI's format Attributes: name (str): description (str): parameters (FunctionParameters): JSON Schema for function parameters """ name: str description: str parameters: "FunctionParameters" additional_properties: dict[str, Any] = _attrs_field(init=False, factory=dict) def to_dict(self) -> dict[str, Any]: name = self.name description = self.description parameters = self.parameters.to_dict() field_dict: dict[str, Any] = {} field_dict.update(self.additional_properties) field_dict.update( { "name": name, "description": description, "parameters": parameters, } ) return field_dict @classmethod def from_dict(cls: type[T], src_dict: Mapping[str, Any]) -> T: from ..models.function_parameters import FunctionParameters d = dict(src_dict) name = d.pop("name") description = d.pop("description") parameters = FunctionParameters.from_dict(d.pop("parameters")) function = cls( name=name, description=description, parameters=parameters, ) function.additional_properties = d return function @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