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feat(huggingface): expose reasoning_content in AIMessageChunk #34014

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feat(huggingface): expose reasoning_content in AIMessageChunk #34014

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aa12324
Fix HuggingFace integration: now reasoning is passed to AIChunk
dip9811111 Nov 18, 2025
e681f24
fix(huggingface): handle reasoning content in message chunk conversion
dip9811111 Nov 18, 2025
4021d3d
style(huggingface): fix formatting in chunk conversion check
dip9811111 Nov 18, 2025
a3340d8
fix(huggingface): remove unnecessary blank lines in chunk conversion …
lucadipalma Nov 18, 2025
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11 changes: 11 additions & 0 deletions libs/partners/huggingface/langchain_huggingface/chat_models/huggingface.py
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Original file line number Diff line number Diff line change
Expand Up @@ -232,8 +232,16 @@ def _is_huggingface_hub(llm: Any) -> bool:
def _convert_chunk_to_message_chunk(
chunk: Mapping[str, Any], default_class: type[BaseMessageChunk]
) -> BaseMessageChunk:
if hasattr(chunk, "choices"):
choice_obj = chunk.choices[0]
delta_obj = choice_obj.delta
reasoning_content_value = getattr(delta_obj, "reasoning_content", None)
else:
reasoning_content_value = None

choice = chunk["choices"][0]
_dict = choice["delta"]

role = cast(str, _dict.get("role"))
content = cast(str, _dict.get("content") or "")
additional_kwargs: dict = {}
Expand All @@ -258,6 +266,9 @@ def _convert_chunk_to_message_chunk(
if role == "user" or default_class == HumanMessageChunk:
return HumanMessageChunk(content=content)
if role == "assistant" or default_class == AIMessageChunk:
reasoning = _dict.get("reasoning") or reasoning_content_value
additional_kwargs["reasoning_content"] = reasoning

if usage := chunk.get("usage"):
input_tokens = usage.get("prompt_tokens", 0)
output_tokens = usage.get("completion_tokens", 0)
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