Update agent.py

agent.py

@@ -135,7 +135,7 @@ sys_msg = SystemMessage(content=system_prompt)
 
 # Initialize SentenceTransformer and set max_seq_length
 sentence_transformer = SentenceTransformer("sentence-transformers/all-mpnet-base-v2")
-sentence_transformer.max_seq_length = 2048  # Set max sequence length
+sentence_transformer.max_seq_length = 512  # Set max sequence length
 
 # Initialize embeddings with the model name (dim=768)
 embeddings = HuggingFaceEmbeddings(model_name="sentence-transformers/all-mpnet-base-v2")
@@ -155,7 +155,7 @@ vector_store = SupabaseVectorStore(
     )
     
 # Create retriever tool
-create_retriever_tool = create_retriever_tool(
+retriever_tool = create_retriever_tool(
     retriever=vector_store.as_retriever(),
     name="Question Search",
     description="A tool to retrieve similar questions from a vector store."