Hi Guys,

I'm dabbling around in Langgraph and running into an issue at this point.

I am trying to make a first node in my graph that should decide if someone is just small talking or actually asking a RAG specific question. It should make that decision based on the question and memory. I've try to implement this and it works if do this only on the question, but id like to do it also based on memory.

Here is my implementation:

from typing import TypedDict
from langgraph.graph import StateGraph
from langgraph.graph import Graph

class AgentState(TypedDict):
messages: list[str]
workflow = StateGraph(AgentState)

def agent(question, memory):
res = llm.invoke(f"""You are given an interaction with a user so far and the final question. Use these to decide if the user is interested in small talk or that it want to know something specifically pension related.
If it's related to small talk, return "Small Talk"
If it's related to pensions, return "Pension"
Only return either of these values and nothing else

Here is the question:
{question}

Here is the full conversation:
{memory}
""")
return res.content

from langgraph.graph import StateGraph, START, END
from langgraph.graph.message import add_messages
workflow = Graph()
workflow.add_node("agent", agent)
workflow.add_edge(START, "agent")
workflow.add_edge("agent", END)
graph = workflow.compile()
graph.invoke('How are you?', 'Nothing')

this returns:
AttributeError: 'str' object has no attribute 'items'

is there an issue with what i defined in my class?

Any help would be sweet! Thanks in advance