Update app.py

app.py

@@ -142,14 +142,42 @@ compiled_graph = graph.compile()
 
 def respond_to_input(user_input: str) -> str:
     """
-    Initialize with an empty messages list. Then run through plan → tools → run_tools → finalize.
-    Return the "final_answer" from the final state.
+    Initialize with a SystemMessage (tools description) and the user’s question as a HumanMessage.
+    Then run through plan → tools → run_tools → finalize. Return the "final_answer" from final_state.
     """
-    initial_state: AgentState = {"messages": []}
-    final_state = compiled_graph.invoke(initial_state, user_input)
+    # 1) Create a SystemMessage that tells the agent about its tools
+    system_msg = SystemMessage(
+        content=(
+            "You have access to exactly these tools:\n"
+            "  1) web_search(query:str) → Returns the top search results for the query.\n"
+            "  2) parse_excel(path:str, sheet_name:str) → Reads an Excel file and returns its contents.\n"
+            "  3) ocr_image(path:str) → Runs OCR on an image and returns any detected text.\n\n"
+            "If you need a tool, set exactly one of these keys in a Python‐dict:\n"
+            "  • web_search_query: <search terms>\n"
+            "  • ocr_path: <path to image>\n"
+            "  • excel_path: <path to xlsx>\n"
+            "  • excel_sheet_name: <sheet name>\n"
+            "Otherwise, set final_answer: <your answer>.\n"
+            "Respond with that Python dict literal—no extra text or explanation."
+        )
+    )
+
+    # 2) Wrap the user_input in a HumanMessage
+    human_msg = HumanMessage(content=user_input)
+
+    # 3) Build the initial state so that "messages" contains both messages
+    initial_state: AgentState = {
+        "messages": [system_msg, human_msg]
+    }
+
+    # 4) Invoke the compiled graph (no second argument needed)
+    final_state = compiled_graph.invoke(initial_state)
+
+    # 5) Return the final answer (or a fallback if missing)
     return final_state.get("final_answer", "Error: No final answer generated.")
 
 
+
 class BasicAgent:
     def __init__(self):
         print("BasicAgent initialized.")