Auth0 Custom Login for AI-Enhanced Apps

Question

Pulumi · Accepted Answer

To configure a custom login experience for an AI-enhanced application using Auth0, you will be defining resources such as custom prompts, rules, and clients with the Pulumi Auth0 provider. This program will include the creation of a custom prompt, a rule to augment the login process with AI capabilities, and an Auth0 client configuration to facilitate the integration with your AI services.

Here's an explanation of the resources we will be using:

- `auth0.PromptCustomText`: This resource allows us to define custom text for different prompts in the login flow. We use this to tailor the login messages and interface elements to the application's needs.
  
- `auth0.Rule`: Rules are JavaScript functions that execute when a user authenticates to your application. They run once the authentication process is complete, and you can use them to customize the login experience, such as by adding additional AI-driven checks or augmenting the user profile.

- `auth0.Client`: Represents an application that will use Auth0 for authentication. This resource will define the characteristics of your app, like the type of application, allowed callback URLs for your application, etc.

Let's create a simple Pulumi program using these resources:

```python
import pulumi
import pulumi_auth0 as auth0

# Create a custom text for login prompt
custom_login_text = auth0.PromptCustomText("custom-login-text",
    body="Welcome to our AI-Enhanced App. Please log in.", 
    prompt="login", 
    language="en")

# Create an Auth0 Rule to enhance the login process with AI capabilities
ai_enhanced_login_rule = auth0.Rule("ai-enhanced-login-rule",
    script="""function(user, context, callback) {
        // You can call an AI service here to perform additional checks or enhancements
        // For example, you might communicate with an AI API to detect suspicious login patterns
        
        // This is a placeholder for integrating your AI functionality
        console.log('AI-enhanced rule executed for user', user.email);
        
        // Continue with the login process
        return callback(null, user, context);
    }
    """,
    order=1,  # Specifies the order in which the rule will run in relation to other rules
    enabled=True)

# Define an Auth0 client for your AI-enhanced application
ai_app_client = auth0.Client("ai-app-client",
    name="AI-Enhanced App",
    app_type="regular_web",  # This type is for web apps with a backend server
    callbacks=["http://localhost/callback"],  # Replace with your application's real callback URLs
    grant_types=["authorization_code"],
    oidc_conformant=True,
    jwt_configuration=auth0.ClientJwtConfigurationArgs(
        alg="RS256",
        lifetime_in_seconds=36000
    ))

# Export the IDs of the Auth0 resources
pulumi.export('custom_login_text_id', custom_login_text.id)
pulumi.export('ai_enhanced_login_rule_id', ai_enhanced_login_rule.id)
pulumi.export('ai_app_client_id', ai_app_client.client_id)
```

This program will set up a custom login experience tailored to an AI-enhanced application with Auth0. It defines the text displayed during the login process, adds a rule for additional AI-driven logic that executes during login, and creates a client configuration to match the app specifics.

The custom text for the login prompt will be in English and will replace the default welcome message with a custom one. The rule for enhancing the login process utilizes an inline script where you can integrate calls to AI services for added login security or user experience enhancements – the script included is a placeholder for your implementation. Lastly, the client setup includes the expected callback URL, which you'll need to replace with your application's actual URL and some JWT (JSON Web Token) configurations. Be sure to update the script, callback URLs, and other configurations to suit your application's requirements and AI integration needs.

Once you apply this Pulumi program, it will provision the defined resources in your Auth0 account, and any user logging into your application will experience the customizations you've programmed.