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Python

# Copyright (c) Microsoft. All rights reserved.
from semantic_kernel.contents.reasoning_content import ReasoningContent
from semantic_kernel.contents.streaming_content_mixin import StreamingContentMixin
from semantic_kernel.exceptions import ContentAdditionException
class StreamingReasoningContent(StreamingContentMixin, ReasoningContent):
"""This represents streaming reasoning response content.
Args:
choice_index: int - The index of the choice that generated this response.
inner_content: Optional[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: Optional[str] - The id of the AI model that generated this response.
metadata: Dict[str, Any] - Any metadata that should be attached to the response.
text: Optional[str] - The reasoning text of the response.
Methods:
__str__: Returns the text of the response.
__bytes__: Returns the content of the response encoded as UTF-8.
__add__: Combines two StreamingReasoningContent instances.
"""
def __bytes__(self) -> bytes:
"""Return the content of the response encoded as UTF-8."""
return self.text.encode("utf-8") if self.text else b""
def __add__(self, other: ReasoningContent) -> "StreamingReasoningContent":
"""When combining two StreamingReasoningContent instances, the text fields are combined.
The addition should follow these rules:
1. The inner_content of the two will be combined. If they are not lists, they will be converted to lists.
2. ai_model_id should be the same.
3. choice_index should be the same.
4. Metadata will be combined.
"""
if isinstance(other, StreamingReasoningContent) and self.choice_index != other.choice_index:
raise ContentAdditionException("Cannot add StreamingReasoningContent with different choice_index")
if self.ai_model_id != other.ai_model_id:
raise ContentAdditionException("Cannot add StreamingReasoningContent from different ai_model_id")
return StreamingReasoningContent(
choice_index=self.choice_index,
inner_content=self._merge_inner_contents(other.inner_content),
ai_model_id=self.ai_model_id,
metadata={**self.metadata, **(other.metadata or {})},
text=(self.text or "") + (other.text or ""),
)