Langchain Office 365 Errors

[crossifino]

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Example Code

import streamlit as st 
import msal
from langchain_openai import ChatOpenAI
from langchain.agents import initialize_agent
from langchain_community.agent_toolkits import O365Toolkit
from O365 import Account
import os

# Azure AD configuration
TENANT_ID = "############################"
CLIENT_ID = "############################"
CLIENT_SECRET = "############################"
AUTHORITY = f"https://login.microsoftonline.com/{TENANT_ID}"
REDIRECT_URI = "http://localhost:8501"
SCOPE = ["https://graph.microsoft.com/.default"]

# Langchain and OpenAI Configuration
OPENAI_API_KEY = "############################"
os.environ["OPENAI_API_KEY"] = OPENAI_API_KEY

# Authentication function using MSAL
def authenticate():
    st.sidebar.title("Azure AD Authentication")
    
    if "token" not in st.session_state:
        st.session_state.token = None

    msal_app = msal.ConfidentialClientApplication(
        CLIENT_ID,
        authority=AUTHORITY,
        client_credential=CLIENT_SECRET
    )

    if st.sidebar.button("Login"):
        auth_url = msal_app.get_authorization_request_url(SCOPE, redirect_uri=REDIRECT_URI)
        st.write(f"Click here to [login]({auth_url})")
    
    code = st.sidebar.text_input("Enter the authorization code")
    
    if code:
        result = msal_app.acquire_token_by_authorization_code(code, SCOPE, redirect_uri=REDIRECT_URI)
        if "access_token" in result:
            st.session_state.token = result["access_token"]
            st.success("Authentication successful!")
        else:
            st.error(f"Authentication failed: {result.get('error_description', 'Unknown error')}")

    return st.session_state.token

# Function to initialize Langchain O365 Toolkit with the authenticated token
def setup_o365_toolkit(token):
    if not token:
        st.error("Please authenticate first.")
        return None
    
    # Initialize the O365 Account object using the O365 library
    credentials = (CLIENT_ID, CLIENT_SECRET)
    account = Account(credentials)

    # Authenticate the account using the token
    account.authenticate(scopes=SCOPE)

    # Initialize the O365Toolkit with the authenticated account
    toolkit = O365Toolkit(account=account)

    # Call model_rebuild after the toolkit is fully defined
    toolkit.model_rebuild()  # Corrected to be called on the instance

    return toolkit

# Main app function
def main():
    st.title("Azure AD & Langchain O365 Inbox Management")
    
    # Authenticate the user with Azure AD
    token = authenticate()

    if token:
        # Set up the O365 Toolkit
        toolkit = setup_o365_toolkit(token)

        if toolkit:
            # Initialize OpenAI model
            llm = ChatOpenAI(temperature=0.7)
            agent = initialize_agent(toolkit.get_tools(), llm, agent_type="zero-shot-react-description", verbose=True)

            # Show a simple interface for interacting with the inbox via ChatOpenAI
            query = st.text_input("Ask something about your inbox (e.g., 'Show my unread emails')")
            if query and st.button("Run Query"):
                response = agent.run(query)
                st.write(response)

if __name__ == "__main__":
    main()

Description

Hello I am trying to get the office 365 Langchain module to work and I am not the greatest developer.

I have managed to successfully authenticate and authorize a token then I get the following errors.

I have tried to get GPT to review the code and it can not seem to find an answer. Not sure if there is something wrong with the module or my code but any help would be great right now.

System Info

PydanticUserError: O365Toolkit is not fully defined; you should define Account, then call O365Toolkit.model_rebuild(). For further information visit https://errors.pydantic.dev/2.9/u/class-not-fully-defined
Traceback:
File "C:\Users\cross\Streamlit_Azure_AD-main.venv\Lib\site-packages\streamlit\runtime\scriptrunner\exec_code.py", line 88, in exec_func_with_error_handling
result = func()
^^^^^^
File "C:\Users\cross\Streamlit_Azure_AD-main.venv\Lib\site-packages\streamlit\runtime\scriptrunner\script_runner.py", line 579, in code_to_exec
exec(code, module.dict)
File "C:\Users\cross\Streamlit_Azure_AD-main\chatgptfix3.py", line 94, in
main()
File "C:\Users\cross\Streamlit_Azure_AD-main\chatgptfix3.py", line 80, in main
toolkit = setup_o365_toolkit(token)
^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\cross\Streamlit_Azure_AD-main\chatgptfix3.py", line 64, in setup_o365_toolkit
toolkit = O365Toolkit(account=account)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\cross\Streamlit_Azure_AD-main.venv\Lib\site-packages\pydantic\main.py", line 212, in init
validated_self = self.pydantic_validator.validate_python(data, self_instance=self)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\cross\Streamlit_Azure_AD-main.venv\Lib\site-packages\pydantic_internal_mock_val_ser.py", line 99, in getattr
raise PydanticUserError(self._error_message, code=self._code)

[crossifino]

[amansingh9097]

Hey, were you able to resolve this? I've setup everything on the MSFT App Registration and also facing the same issue as your.