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commented
2 months ago Hey there, @wrench1997! 👋 I'm here to help you with any bugs, questions, or even to chat and become a contributor.
To resolve the ValueError indicating that the component field llm might not be a valid input in the langflow package, specifically in the edge/base.py file, ensure that the llm parameter passed to the build method is an instance of LanguageModel.
Here is the relevant code snippet from the SelfQueryRetrieverComponent class:
class SelfQueryRetrieverComponent(CustomComponent):
display_name: str = "Self Query Retriever"
description: str = "Retriever that uses a vector store and an LLM to generate the vector store queries."
icon = "LangChain"
def build_config(self):
return {
"query": {
"display_name": "Query",
"input_types": ["Message", "Text"],
"info": "Query to be passed as input.",
},
"vectorstore": {
"display_name": "Vector Store",
"info": "Vector Store to be passed as input.",
},
"attribute_infos": {
"display_name": "Metadata Field Info",
"info": "Metadata Field Info to be passed as input.",
},
"document_content_description": {
"display_name": "Document Content Description",
"info": "Document Content Description to be passed as input.",
},
"llm": {
"display_name": "LLM",
"info": "LLM to be passed as input.",
},
}
def build(
self,
query: Message,
vectorstore: VectorStore,
attribute_infos: list[Data],
document_content_description: Text,
llm: LanguageModel,
) -> Data:
metadata_field_infos = [AttributeInfo(**value.data) for value in attribute_infos]
self_query_retriever = SelfQueryRetriever.from_llm(
llm=llm,
vectorstore=vectorstore,
document_contents=document_content_description,
metadata_field_info=metadata_field_infos,
enable_limit=True,
)
if isinstance(query, Message):
input_text = query.text
elif isinstance(query, str):
input_text = query
else:
raise ValueError(f"Query type {type(query)} not supported.")
documents = self_query_retriever.invoke(input=input_text)
data = [Data.from_document(document) for document in documents]
self.status = data
return dataEnsure that the llm parameter is correctly instantiated and passed as an instance of LanguageModel when calling the build method. Additionally, verify that the llm field is properly configured in the build_config method of the SelfQueryRetrieverComponent class:
def build_config(self):
return {
"query": {
"display_name": "Query",
"input_types": ["Message", "Text"],
"info": "Query to be passed as input.",
},
"vectorstore": {
"display_name": "Vector Store",
"info": "Vector Store to be passed as input.",
},
"attribute_infos": {
"display_name": "Metadata Field Info",
"info": "Metadata Field Info to be passed as input.",
},
"document_content_description": {
"display_name": "Document Content Description",
"info": "Document Content Description to be passed as input.",
},
"llm": {
"display_name": "LLM",
"info": "LLM to be passed as input.",
},
}This should resolve the ValueError related to the llm field [1][2][3][4][5].
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wrench1997
Cristhianzl
Bug Description
I ran it according to the flow chart and found that llm reported an error. Untitled document.json
Reproduction
Expected behavior
In the component Self Query Retriever, an error will be reported when running.
Who can help?
No response
Operating System
windows10
Langflow Version
ex 1.0.17
Python Version
3.10
Screenshot
No response
Flow File
No response