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community[patch]: fix structured_output in llamacpp integration (#27202)

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Resolves https://github.com/langchain-ai/langchain/issues/25318.
This commit is contained in:
ccurme
2024-10-08 15:16:59 -04:00
committed by GitHub
parent c3cb56a9e8
commit e3920f2320
2 changed files with 22 additions and 2 deletions
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5
libs/community/langchain_community/chat_models/llamacpp.py
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@@ -342,7 +342,7 @@ class ChatLlamaCpp(BaseChatModel):
self,
tools: Sequence[Union[Dict[str, Any], Type[BaseModel], Callable, BaseTool]],
*,
tool_choice: Optional[Union[Dict[str, Dict], bool, str]] = None,
tool_choice: Optional[Union[dict, bool, str]] = None,
**kwargs: Any,
) -> Runnable[LanguageModelInput, BaseMessage]:
"""Bind tool-like objects to this chat model
@@ -538,7 +538,8 @@ class ChatLlamaCpp(BaseChatModel):
"Received None."
)
tool_name = convert_to_openai_tool(schema)["function"]["name"]
llm = self.bind_tools([schema], tool_choice=tool_name)
tool_choice = {"type": "function", "function": {"name": tool_name}}
llm = self.bind_tools([schema], tool_choice=tool_choice)
if is_pydantic_schema:
output_parser: OutputParserLike = PydanticToolsParser(
tools=[cast(Type, schema)], first_tool_only=True