TextContent Class

This represents text response content.

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.

Inheritance

KernelContent

TextContent

Constructor

TextContent(*, inner_content: Any | None = None, ai_model_id: str | None = None, metadata: dict[str, Any] = None, content_type: Literal[ContentTypes.TEXT_CONTENT] = 'text', text: str, encoding: str | None = None)

Parameters

Name	Description
inner_content Required	Any - The inner content of the response, this should hold all the information from the response so even when not creating a subclass a developer can leverage the full thing.
ai_model_id Required	str | None - The id of the AI model that generated this response.
metadata Required	dict[str, Any] - Any metadata that should be attached to the response.
text Required	str | None - The text of the response.
encoding Required	str | None - The encoding of the text.

Keyword-Only Parameters

Name	Description
inner_content Required
ai_model_id Required
metadata Required
content_type	Default value: text
text Required
encoding Required

Methods

from_element	Create an instance from an Element.
to_dict	Convert the instance to a dictionary.
to_element	Convert the instance to an Element.

from_element

Create an instance from an Element.

from_element(element: Element) -> _T

Parameters

Name	Description
element Required

to_dict

Convert the instance to a dictionary.

to_dict() -> dict[str, str]

to_element

Convert the instance to an Element.

to_element() -> Element

Attributes

model_computed_fields

A dictionary of computed field names and their corresponding ComputedFieldInfo objects.

model_computed_fields: ClassVar[Dict[str, ComputedFieldInfo]] = {}

model_config

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

model_config: ClassVar[ConfigDict] = {'arbitrary_types_allowed': True, 'populate_by_name': True, 'validate_assignment': True}

model_fields

Metadata about the fields defined on the model, mapping of field names to [FieldInfo][pydantic.fields.FieldInfo] objects.

This replaces Model.fields from Pydantic V1.

model_fields: ClassVar[Dict[str, FieldInfo]] = {'ai_model_id': FieldInfo(annotation=Union[str, NoneType], required=False, default=None), 'content_type': FieldInfo(annotation=Literal[<ContentTypes.TEXT_CONTENT: 'text'>], required=False, default='text', init=False), 'encoding': FieldInfo(annotation=Union[str, NoneType], required=False, default=None), 'inner_content': FieldInfo(annotation=Union[Any, NoneType], required=False, default=None), 'metadata': FieldInfo(annotation=dict[str, Any], required=False, default_factory=dict), 'text': FieldInfo(annotation=str, required=True)}

ai_model_id

ai_model_id: str | None

content_type

content_type: Literal[ContentTypes.TEXT_CONTENT]

encoding

encoding: str | None

inner_content

inner_content: Any | None

metadata

metadata: dict[str, Any]

tag

tag: ClassVar[str] = 'text'

text

text: str