Model (autotransform.model.base)
The base class and associated classes for Model components.
- class autotransform.model.base.Model
Bases:
Generic[TResultData],NamedComponentThe base for Model components. Used by AutoTransform to interact with AI models such as LLMs.
- abstract get_result_for_item(item: FileItem) Tuple[str, TResultData]
Gets a completion for a FileItem, usually used to find new file content.
- Parameters:
item (FileItem) – The FileItem to get the result for.
- Returns:
- The result for the Item along with any information needed
for future completions with validation.
- Return type:
Tuple[str, TResultData]
- abstract get_result_with_validation(item: FileItem, result_data: TResultData, validation_failures: Sequence[ValidationResult]) Tuple[str, TResultData]
Gets a new result based on ValidationResult issues.
- Parameters:
item (FileItem) – The FileItem to get the result for.
result_data (TResultData) – The previously returned result data.
validation_failures (Sequence[ValidationResult]) – The validation failures.
- Returns:
- The result for the failures along with any information needed
for future completions.
- Return type:
Tuple[str, TResultData]
- model_computed_fields: ClassVar[dict[str, ComputedFieldInfo]] = {}
A dictionary of computed field names and their corresponding ComputedFieldInfo objects.
- model_config: ClassVar[ConfigDict] = {}
Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].
- model_fields: ClassVar[dict[str, FieldInfo]] = {}
Metadata about the fields defined on the model, mapping of field names to [FieldInfo][pydantic.fields.FieldInfo].
This replaces Model.__fields__ from Pydantic V1.