1. Secure AI Model API with Keycloak and OIDC


    To secure an AI Model API with Keycloak and OpenID Connect (OIDC) using Pulumi, you need to set up an authentication system that will verify the identity of users trying to access the API. Keycloak is an open-source Identity and Access Management solution which allows you to easily secure your applications with little to no code. OIDC is an authentication layer on top of the OAuth 2.0 protocol.

    The following Pulumi program in Python will help you to create a Keycloak OAuth2/OpenID Connect identity provider and secure your application with user authentication. This includes setting up a Keycloak realm, a Keycloak OIDC client, and an API that is protected by these services.

    Below is a detailed step-by-step approach to achieving this:

    1. Create a Keycloak Realm: The realm in Keycloak is the core concept in the Keycloak, which is essentially a space where you manage your users, roles, groups, and so on.
    2. Create a Keycloak Client: This is an entity within a realm that can request Keycloak to authenticate a user. For an API, this typically means a server-side client.
    3. Set Up an API: Here, you set up your AI Model API. The actual way to do this can vary widely depending on the specifics of your API and its hosting strategy.
    4. Protect the API with OIDC: Here, you're using an Identity Provider (IDP) to handle identity and generate tokens for authenticated users.

    For the hosting part of the API, depending on where you want to host your API, the instructions will differ. You might want to deploy it on a cloud provider like AWS Lambda, Google Cloud Functions, or any other server.

    Below is a simplified Pulumi program for setting up Keycloak OIDC:

    import pulumi import pulumi_keycloak as keycloak # Create a new Keycloak Realm realm = keycloak.Realm("my-realm", enabled=True, display_name="My Realm") # Set up a new Keycloak OIDC client oidc_client = keycloak.OpenIdClient("my-oidc-client", realm=realm.id, client_id="my-api-client", client_secret="super-secret", # in a real-world scenario, you would make this a secret enabled=True, description="OIDC client for my API", access_type="CONFIDENTIAL", # use 'confidential' for server-side APIs standard_flow_enabled=True, implicit_flow_enabled=False, direct_access_grants_enabled=False, service_accounts_enabled=True, valid_redirect_uris=["https://my.api/callback"]) # Export the realm and client information pulumi.export("realm", realm.display_name) pulumi.export("oidc_client_id", oidc_client.client_id)

    This program creates a new realm and sets up an OIDC client for your API. You would need to replace "super-secret" with an actual secret value, ideally stored and retrieved securely via a secrets manager.

    Please note that this is just the identity part of the setup. The actual deployment of your AI Model API and the integration of this identity system into that API's authentication flow depends strongly on how you've implemented your API.

    If your API is, for example, a Python Flask app, you would integrate Keycloak by:

    • Using a library like Flask-OIDC or keycloak Python module.
    • Protecting your API endpoints using decorators or middleware that require a valid OIDC token.
    • Extracting and validating the token from the request, using Keycloak's public keys to verify the token signature.

    For a full implementation, you would need to look into more detailed documentation specific to your API stack and the environment where it's hosted. This Pulumi program only sets up the identity management side of things with Keycloak and OIDC.