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microsoft--semantic-kernel/python/semantic_kernel/contents/text_content.py
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chore: import upstream snapshot with attribution
2026-07-13 13:21:23 +08:00

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Python

# Copyright (c) Microsoft. All rights reserved.
from html import unescape
from typing import ClassVar, Literal, TypeVar
from xml.etree.ElementTree import Element # nosec
from pydantic import Field
from semantic_kernel.contents.const import TEXT_CONTENT_TAG, ContentTypes
from semantic_kernel.contents.kernel_content import KernelContent
from semantic_kernel.exceptions.content_exceptions import ContentInitializationError
_T = TypeVar("_T", bound="TextContent")
class TextContent(KernelContent):
"""This represents text response content.
Args:
inner_content: 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: str | None - The id of the AI model that generated this response.
metadata: dict[str, Any] - Any metadata that should be attached to the response.
text: str | None - The text of the response.
encoding: str | None - The encoding of the text.
Methods:
__str__: Returns the text of the response.
"""
content_type: Literal[ContentTypes.TEXT_CONTENT] = Field(TEXT_CONTENT_TAG, init=False) # type: ignore
tag: ClassVar[str] = TEXT_CONTENT_TAG
text: str
encoding: str | None = None
def __str__(self) -> str:
"""Return the text of the response."""
return self.text
def to_element(self) -> Element:
"""Convert the instance to an Element."""
element = Element(self.tag)
element.text = self.text
if self.encoding:
element.set("encoding", self.encoding)
return element
@classmethod
def from_element(cls: type[_T], element: Element) -> _T:
"""Create an instance from an Element."""
if element.tag != cls.tag:
raise ContentInitializationError(f"Element tag is not {cls.tag}") # pragma: no cover
return cls(text=unescape(element.text) if element.text else "", encoding=element.get("encoding", None))
def to_dict(self) -> dict[str, str]:
"""Convert the instance to a dictionary."""
return {"type": "text", "text": self.text}
def __hash__(self) -> int:
"""Return the hash of the text content."""
return hash((self.tag, self.text, self.encoding))