Fixing bug in memory

app.py

@@ -201,7 +201,7 @@ class AgentState(TypedDict):
   messages: Annotated[list, add_messages]
 
 #-----CREATE NODES-----#
-async def call_model(state, config: RunnableConfig):
+async def call_model(state:AgentState, config: RunnableConfig):
   messages = state["messages"]
   response = await model.ainvoke(messages, config)
   return {"messages" : [response]}
@@ -217,7 +217,6 @@ def call_tool(state):
   )
 
   response = tool_executor.invoke(action)
-
   function_message = FunctionMessage(content=str(response), name=action.tool)
 
   return {"messages" : [function_message]}
@@ -246,7 +245,9 @@ workflow.add_conditional_edges(
 )
 
 workflow.add_edge("use tool", "agent")
-app = workflow.compile(checkpointer=memory)
+app = workflow.compile() #can add checkpointer=memory argument here, need to figure out this error with it:
+                         #ValueError: Checkpointer requires one or more of the following 'configurable' keys: ['thread_id', 'thread_ts']
+                         #Has something to do with runnableconfig, may need a different kind of runnableconfig.
 
 #-----CONFIGURE CHAINLIT APP-----#