state

app.py

@@ -15,22 +15,8 @@ from langgraph.graph.message import add_messages
 from langchain.schema import HumanMessage, AIMessage, SystemMessage
 # Create a ToolNode that knows about your web_search function
 import json
+from state import AgentState
 
-from typing import TypedDict, Annotated
-
-class AgentState(TypedDict, total=False):
-    messages: Annotated[list, add_messages]
-    # Fields that the agent node can set to request a tool
-    web_search_query: str
-    ocr_path: str
-    excel_path: str
-    excel_sheet_name: str
-    # Fields to hold the tool outputs
-    web_search_result: str
-    ocr_result: str
-    excel_result: str
-    # A “final_answer” field that the last agent node will fill
-    final_answer: str# (Keep Constants as is)
 # --- Constants ---
 DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
 

state.py

@@ -0,0 +1,15 @@
+from typing import TypedDict, Annotated
+from langgraph.graph.message import add_messages
+class AgentState(TypedDict, total=False):
+    messages: Annotated[list, add_messages]
+    # Fields that the agent node can set to request a tool
+    web_search_query: str
+    ocr_path: str
+    excel_path: str
+    excel_sheet_name: str
+    # Fields to hold the tool outputs
+    web_search_result: str
+    ocr_result: str
+    excel_result: str
+    # A “final_answer” field that the last agent node will fill
+    final_answer: str# (Keep Constants as is)

tools.py

@@ -5,7 +5,7 @@ from langchain_community.tools import DuckDuckGoSearchRun
 from pathlib import Path
 from PIL import Image
 import pytesseract
-from app import AgentState
+from state import AgentState
 def web_search_tool(state: AgentState) -> AgentState:
     """
     Expects: state["web_search_query"] is a non‐empty string.