github/langchain
1
0
Fork 0
mirror of https://github.com/hwchase17/langchain.git synced 2025-08-02 01:23:07 +00:00
Code Issues Packages Projects Releases Wiki Activity

Community: Fix with_structured_output for ChatSambaNovaCloud (#28796)

Browse Source 
- **Description:** The `kwargs` was being checked as None object which
was causing the rest of code in `with_structured_output` not getting
executed. The checking part has been fixed in this PR.
- **Issue:** #28776
This commit is contained in:
Mohammad Mohtashim 2024-12-19 00:35:06 +05:00 committed by GitHub
parent 684b146b18
commit 7c8f977695
No known key found for this signature in database
GPG Key ID: B5690EEEBB952194
1 changed files with 5 additions and 5 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

10
libs/community/langchain_community/chat_models/sambanova.py
View File

@ -616,7 +616,7 @@ class ChatSambaNovaCloud(BaseChatModel):
# 'parsing_error': None
# }
""" # noqa: E501
if kwargs is not None:
if kwargs:
raise ValueError(f"Received unsupported arguments {kwargs}")
is_pydantic_schema = _is_pydantic_class(schema)
if method == "function_calling":
@ -629,8 +629,8 @@ class ChatSambaNovaCloud(BaseChatModel):
llm = self.bind_tools([schema], tool_choice=tool_name)
if is_pydantic_schema:
output_parser: OutputParserLike[Any] = PydanticToolsParser(
tools=[schema],
first_tool_only=True,
tools=[schema], # type: ignore[list-item]
first_tool_only=True, # type: ignore[list-item]
)
else:
output_parser = JsonOutputKeyToolsParser(
@ -642,7 +642,7 @@ class ChatSambaNovaCloud(BaseChatModel):
# llm = self.bind(response_format={"type": "json_object"})
if is_pydantic_schema:
schema = cast(Type[BaseModel], schema)
output_parser = PydanticOutputParser(pydantic_object=schema)
output_parser = PydanticOutputParser(pydantic_object=schema) # type: ignore[type-var, arg-type]
else:
output_parser = JsonOutputParser()
@ -660,7 +660,7 @@ class ChatSambaNovaCloud(BaseChatModel):
# )
if is_pydantic_schema:
schema = cast(Type[BaseModel], schema)
output_parser = PydanticOutputParser(pydantic_object=schema)
output_parser = PydanticOutputParser(pydantic_object=schema) # type: ignore[type-var, arg-type]
else:
output_parser = JsonOutputParser()
else: