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Python: fix(python/google): filter thinking text parts from chat completion responses #13711

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Python: fix(python/google): filter thinking text parts from chat completion responses #13711

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1e30f3f
Python: Filter thought parts from Google AI chat completion responses
dariusFTOS Mar 26, 2026
e040674
Python: surface thought parts as ReasoningContent instead of discarding
dariusFTOS Mar 26, 2026
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17 changes: 15 additions & 2 deletions python/semantic_kernel/connectors/ai/google/google_ai/services/google_ai_chat_completion.py
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Original file line number Diff line number Diff line change
Expand Up @@ -34,7 +34,9 @@
from semantic_kernel.contents.function_call_content import FunctionCallContent
from semantic_kernel.contents.streaming_chat_message_content import STREAMING_CMC_ITEM_TYPES as STREAMING_ITEM_TYPES
from semantic_kernel.contents.streaming_chat_message_content import StreamingChatMessageContent
from semantic_kernel.contents.streaming_reasoning_content import StreamingReasoningContent
from semantic_kernel.contents.streaming_text_content import StreamingTextContent
from semantic_kernel.contents.reasoning_content import ReasoningContent
from semantic_kernel.contents.text_content import TextContent
from semantic_kernel.contents.utils.author_role import AuthorRole
from semantic_kernel.contents.utils.finish_reason import FinishReason
Expand Down Expand Up @@ -302,7 +304,9 @@ def _create_chat_message_content(
items: list[CMC_ITEM_TYPES] = []
if candidate.content and candidate.content.parts:
for idx, part in enumerate(candidate.content.parts):
if part.text:
if getattr(part, "thought", False):
items.append(ReasoningContent(text=part.text, inner_content=response, metadata=response_metadata))
elif part.text:
items.append(TextContent(text=part.text, inner_content=response, metadata=response_metadata))
elif part.function_call:
fc_metadata: dict[str, Any] = {}
Expand Down Expand Up @@ -357,7 +361,16 @@ def _create_streaming_chat_message_content(
items: list[STREAMING_ITEM_TYPES] = []
if candidate.content and candidate.content.parts:
for idx, part in enumerate(candidate.content.parts):
if part.text:
if getattr(part, "thought", False):
items.append(
StreamingReasoningContent(
choice_index=candidate.index or 0,
text=part.text,
inner_content=chunk,
metadata=response_metadata,
)
)
elif part.text:
items.append(
StreamingTextContent(
choice_index=candidate.index or 0,
Expand Down
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