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fix(file_search): serialize first_response output items to dicts for follow-up input

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Pydantic model instances (ResponseFunctionToolCall, etc.) from first_response.output
were included raw in follow_up_input; the transformation layer expects plain dicts and
called .get() on them, raising AttributeError. Serialize via model_dump(exclude_none=True).

Made-with: Cursor
This commit is contained in:
Sameer Kankute 2026-03-18 10:12:13 +05:30
parent dc7b7f852d
commit 1ff7c70011
1 changed files with 9 additions and 1 deletions
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10
litellm/responses/file_search/emulated_handler.py
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@ -479,8 +479,16 @@ async def aresponses_with_emulated_file_search(
# 5. Build follow-up input: original messages + ALL first-response output items + tool results
# Including all output items (text blocks, reasoning, non-file-search calls) ensures providers
# like Anthropic that emit text before the tool call have complete conversation context.
# Serialize Pydantic model instances to plain dicts so the transformation layer can call .get().
original_input_items = list(input) if isinstance(input, (list, tuple)) else [{"role": "user", "content": str(input)}]
first_response_output_items = list(first_response.output)
first_response_output_items: List[Any] = []
for _item in first_response.output:
if isinstance(_item, dict):
first_response_output_items.append(_item)
elif hasattr(_item, "model_dump"):
first_response_output_items.append(_item.model_dump(exclude_none=True)) # type: ignore[union-attr]
else:
first_response_output_items.append(_item)
follow_up_input = (
original_input_items