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fix: preserve Vercel text content metadata #5710

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fix: preserve Vercel text content metadata #5710

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16 changes: 14 additions & 2 deletions pydantic_ai_slim/pydantic_ai/ui/vercel_ai/_adapter.py
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Original file line number Diff line number Diff line change
Expand Up @@ -272,7 +272,13 @@ def load_messages(cls, messages: Sequence[UIMessage]) -> list[ModelMessage]: #
user_prompt_content: str | list[UserContent] = []
for part in msg.parts:
if isinstance(part, TextUIPart):
user_prompt_content.append(part.text)
provider_meta = load_provider_metadata(part.provider_metadata)
if 'metadata' in provider_meta:
user_prompt_content.append(
TextContent(content=part.text, metadata=provider_meta['metadata'])
)
else:
user_prompt_content.append(part.text)
elif isinstance(part, FileUIPart):
try:
file = BinaryContent.from_data_uri(part.url)
Expand Down Expand Up @@ -884,7 +890,13 @@ def _convert_user_prompt_part(part: UserPromptPart) -> list[UIMessagePart]:
if isinstance(item, str):
ui_parts.append(TextUIPart(text=item, state='done'))
elif isinstance(item, TextContent):
ui_parts.append(TextUIPart(text=item.content, state='done'))
ui_parts.append(
TextUIPart(
text=item.content,
state='done',
provider_metadata=dump_provider_metadata(metadata=item.metadata),
)
)
elif isinstance(item, BinaryContent):
ui_parts.append(FileUIPart(url=item.data_uri, media_type=item.media_type))
elif isinstance(item, ImageUrl | AudioUrl | VideoUrl | DocumentUrl):
Expand Down
43 changes: 42 additions & 1 deletion tests/test_vercel_ai.py
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Original file line number Diff line number Diff line change
Expand Up @@ -5792,7 +5792,48 @@ async def test_convert_user_prompt_part_text_content():
part = UserPromptPart(content=['Just some text', TextContent(content='More text', metadata={'key': 'value'})])
ui_parts = _convert_user_prompt_part(part)
assert ui_parts == snapshot(
[TextUIPart(text='Just some text', state='done'), TextUIPart(text='More text', state='done')]
[
TextUIPart(text='Just some text', state='done'),
TextUIPart(
text='More text',
state='done',
provider_metadata={'pydantic_ai': {'metadata': {'key': 'value'}}},
),
]
)


async def test_adapter_text_content_metadata_roundtrip():
original_messages = [
ModelRequest(
parts=[
UserPromptPart(
content=[
'Just some text',
TextContent(content='More text', metadata={'key': 'value'}),
]
)
]
)
]

ui_messages = VercelAIAdapter.dump_messages(original_messages)
reloaded_messages = VercelAIAdapter.load_messages(ui_messages)

assert reloaded_messages == snapshot(
[
ModelRequest(
parts=[
UserPromptPart(
content=[
'Just some text',
TextContent(content='More text', metadata={'key': 'value'}),
],
timestamp=IsDatetime(),
)
]
)
]
)


Expand Down
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