StreamingFileReferenceContent Class

Reference

Streaming File reference content.

Note: This class is experimental and may change in the future.

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

StreamingFileReferenceContent

Constructor

StreamingFileReferenceContent(*, inner_content: Any | None = None, ai_model_id: str | None = None, metadata: dict[str, Any] = None, content_type: Literal[ContentTypes.STREAMING_FILE_REFERENCE_CONTENT] = 'streaming_file_reference', file_id: str | None = None)

Keyword-Only Parameters

Name	Description
inner_content Required
ai_model_id Required
metadata Required
content_type	Default value: streaming_file_reference
file_id Required

Methods

from_element	Create an instance from an Element.
to_dict	Convert the instance to a dictionary.
to_element	Convert the file reference content 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, Any]

to_element

Convert the file reference content 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.STREAMING_FILE_REFERENCE_CONTENT: 'streaming_file_reference'>], required=False, default='streaming_file_reference', init=False), 'file_id': 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)}

ai_model_id

ai_model_id: str | None

content_type

content_type: Literal[ContentTypes.STREAMING_FILE_REFERENCE_CONTENT]

file_id

file_id: str | None

inner_content

inner_content: Any | None

is_experimental

is_experimental = True

metadata

metadata: dict[str, Any]

tag

tag: ClassVar[str] = 'streaming_file_reference'

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