Update agent.py

agent.py

@@ -35,28 +35,28 @@ SUPABASE_SERVICE_ROLE_KEY = os.environ.get("SUPABASE_SERVICE_ROLE_KEY")
 with open("prompt.txt", "r", encoding="utf-8") as f:
     system_prompt = f.read()
 
-# build a retriever
-embeddings = HuggingFaceEmbeddings(
-    model_name="sentence-transformers/all-mpnet-base-v2"
-)  #  dim=768
-supabase: Client = create_client(
-    SUPABASE_URL, SUPABASE_SERVICE_ROLE_KEY
-)
-vector_store = SupabaseVectorStore(
-    client=supabase,
-    embedding=embeddings,
-    table_name="documents2",
-    query_name="match_documents_2",
-)
-create_retriever_tool = create_retriever_tool(
-    retriever=vector_store.as_retriever(),
-    name="Question Search",
-    description="A tool to retrieve similar questions from a vector store.",
-)
-
 # System message
 sys_msg = SystemMessage(content=system_prompt)
 
+# # build a retriever
+# embeddings = HuggingFaceEmbeddings(
+#     model_name="sentence-transformers/all-mpnet-base-v2"
+# )  #  dim=768
+# supabase: Client = create_client(
+#     SUPABASE_URL, SUPABASE_SERVICE_ROLE_KEY
+# )
+# vector_store = SupabaseVectorStore(
+#     client=supabase,
+#     embedding=embeddings,
+#     table_name="documents2",
+#     query_name="match_documents_2",
+# )
+# create_retriever_tool = create_retriever_tool(
+#     retriever=vector_store.as_retriever(),
+#     name="Question Search",
+#     description="A tool to retrieve similar questions from a vector store.",
+# )
+
 # Loading the assistant
 chat = ChatGoogleGenerativeAI(model="gemini-2.0-flash", temperature=0)
 
@@ -82,31 +82,32 @@ def simple_graph():
     ## Defining our nodes
     def assistant(state: MessagesState):
         """Assistant node"""
-        return {"messages": [chat_with_tools.invoke(state["messages"])]}
+        return {"messages": [chat_with_tools.invoke([sys_msg] + state["messages"])]}
 
-    def retriever(state: MessagesState):
-        """Retriever node"""
-        similar_question = vector_store.similarity_search(state["messages"][0].content)
+    # def retriever(state: MessagesState):
+    #     """Retriever node"""
+    #     similar_question = vector_store.similarity_search(state["messages"][0].content)
 
-        if similar_question:  # Check if the list is not empty
-            example_msg = HumanMessage(
-                content=f"Here I provide a similar question and answer for reference: \n\n{similar_question[0].page_content}",
-            )
-            return {"messages": [sys_msg] + state["messages"] + [example_msg]}
-        else:
-            # Handle the case when no similar questions are found
-            return {"messages": [sys_msg] + state["messages"]}
+    #     if similar_question:  # Check if the list is not empty
+    #         example_msg = HumanMessage(
+    #             content=f"Here I provide a similar question and answer for reference: \n\n{similar_question[0].page_content}",
+    #         )
+    #         return {"messages": [sys_msg] + state["messages"] + [example_msg]}
+    #     else:
+    #         # Handle the case when no similar questions are found
+    #         return {"messages": [sys_msg] + state["messages"]}
 
     
     # Build graph / nodes
     builder = StateGraph(MessagesState)
-    builder.add_node("retriever", retriever) # Retriever
+    #builder.add_node("retriever", retriever) # Retriever
     builder.add_node("assistant", assistant) # Assistant
     builder.add_node("tools", ToolNode(tools)) # Tools
     
     # Logic / edges
-    builder.add_edge(START, "retriever")
-    builder.add_edge("retriever", "assistant")
+    # builder.add_edge(START, "retriever")
+    # builder.add_edge("retriever", "assistant")
+    builder.add_edge(START, "assistant")
     builder.add_conditional_edges("assistant", tools_condition)
     builder.add_edge("tools", "assistant")