AIModelUpdateInputValue

pydantic model openapi_client.models.ai_model_update_input_value.AIModelUpdateInputValue

Inference parameter values for update_parameters. Each value must be a string holding a Python literal (for example “0.5”, “4096”).

Fields:

• actual_instance (List[str] | bool | float | str | None)

• one_of_schemas (Set[str])

• oneof_schema_1_validator (str | None)

• oneof_schema_2_validator (bool | None)

• oneof_schema_3_validator (float | int | None)

• oneof_schema_4_validator (List[str] | None)

field oneof_schema_1_validator: Optional[StrictStr] = None

field oneof_schema_2_validator: Optional[StrictBool] = None

field oneof_schema_3_validator: Optional[Union[StrictFloat, StrictInt]] = None

field oneof_schema_4_validator: Optional[List[StrictStr]] = None

field actual_instance: Optional[Union[List[str], bool, float, str]] = None

field one_of_schemas: Set[str] = {'List[str]', 'bool', 'float', 'str'}

__init__(*args, **kwargs)

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

classmethod from_dict(obj)

Return type:

Self

classmethod from_json(json_str)

Returns the object represented by the json string

Return type:

Self

to_json()

Returns the JSON representation of the actual instance

Return type:

str

to_dict()

Returns the dict representation of the actual instance

Return type:

Union[Dict[str, Any], List[str], bool, float, str, None]

to_str()

Returns the string representation of the actual instance

Return type:

str