Hey @phamduyphuong251, great to see you diving into another challenge with Dify! Let's tackle this SSO authentication together.

To integrate SSO authentication in your private WebApp, allowing the chatbot to sign in using the user's credentials after they've logged into the WebApp, you would typically follow these steps:

1. Choose an SSO Strategy: Decide on the SSO protocol you want to use (e.g., SAML, OAuth2.0, OpenID Connect). This decision often depends on the technologies your WebApp and the identity provider support.

2. Identity Provider (IdP) Integration: Integrate with an Identity Provider that supports your chosen SSO protocol. This could be a service like Okta, Auth0, or Google.

3. Securely Store Credentials: Ensure that any credentials used for the integration, such as client IDs and secrets for OAuth, are securely stored and not exposed in the frontend.

4. Backend Changes: Implement the SSO flow in your backend. This typically involves:

   • Redirecting the user to the IdP's login page.
   • Handling the callback from the IdP after successful authentication, which includes an authentication token.
   • Validating the token and creating a session for the user in your app.

5. Frontend Changes: Modify your frontend to handle the SSO flow, which includes:

   • Initiating the SSO process.
   • Handling any redirects or token storage as required by your backend.

6. API Key Management: As per the hint in the provided context, API keys should be called through the backend rather than being directly exposed in the frontend. This means your backend should manage the API keys and possibly associate different keys with different user sessions as needed.

7. Modify API Calls for SSO: Adjust your API calls to include the user's session or token that indicates they are authenticated. This might involve adding headers or tokens to your API requests. For example, modifying the curl command to include an authorization header that contains the user's session token.

Here's a hypothetical example of how you might modify the API call to include SSO authentication, assuming the use of a bearer token obtained after SSO authentication:

curl --location --request POST 'https://api.dify.ai/v1/chat-messages' \
--header 'Authorization: Bearer YOUR-SSO-SESSION-TOKEN' \
--header 'Content-Type: application/json' \
--data-raw '{
    "inputs": {},
    "query": "eh",
    "response_mode": "streaming",
    "conversation_id": "1c7e55fb-1ba2-4e10-81b5-30addcea2276"
    "user": "abc-123"
}'

In this example, YOUR-SSO-SESSION-TOKEN would be the token that your backend generates or receives after the user successfully authenticates with the SSO. This token is then used to make authenticated API calls to Dify.

Regarding your question about contributing to Dify, I'm afraid I don't have the necessary information to guide you on this. You might want to reach out to the Dify development team or community for more information on how you can contribute.

As for your questions about the SSO protocols supported by Dify and how Dify handles session management and token validation for authenticated users, I wasn't able to find specific information within the repository. However, these are important considerations and I recommend reaching out to the Dify team for more information.

I hope this helps! If you have any more questions, feel free to ask.

Sources

• en/user-guide/launching-dify-apps/developing-with-apis/README.md

I have one question: I want to embed a chatbot in my Web app by iframe. Is it possible for a chatbot to detect the user?

Hello there, the SSO function requires business license. Please contact business@dify.ai