Managing Auth0 Roles for Dynamic AI Service Permissions

Question

Pulumi · Accepted Answer

To manage Auth0 roles for dynamic AI service permissions, we will define roles using the Auth0 `Role` resource, which represents a set of permissions assigned to users. This is typically used to control access rights within an Auth0 tenant.

Auth0 also allows us to define a `ResourceServer` which represents an API that you want to protect with Auth0. Within this `ResourceServer`, we can define `scopes`, which are typically strings that identify various permissions available in the API (for example: `read:data`, `write:data`).

By combining `Role` and `ResourceServer`, we can assign fine-grained access control to the dynamic AI service. In the following Pulumi program, we will:
- Create a Resource Server to represent the dynamic AI service.
- Define scopes for the AI service (assuming it requires `read` and `write` permissions).
- Create a Role that will be granted these permissions.
- Assign the permissions linked with the AI service to the Role.

This is a simplified example to demonstrate how you can manage roles and permissions using Pulumi with the Auth0 provider.

```python
import pulumi
import pulumi_auth0 as auth0

# Create a Resource Server (API) for the Dynamic AI Service
dynamic_ai_service_api = auth0.ResourceServer("dynamicAIServiceApi",
    name="Dynamic AI Service API",
    identifier="https://my-ai-service/api",
    scopes=[
        {"value": "read:ai_service", "description": "Read access to AI Service"},
        {"value": "write:ai_service", "description": "Write access to AI Service"},
    ],
    signing_alg="RS256",
    token_lifetime=86400,
    enforce_policies=True,
    token_dialect="access_token",
    skip_consent_for_verifiable_first_party_clients=True,
)

# Define a Role with permissions to access the Dynamic AI Service
ai_service_user_role = auth0.Role("aiServiceUserRole",
    name="AI Service User",
    description="Role for users that can interact with the AI Service",
    permissions=[
        {
            "name": "read:ai_service",
            "resource_server_identifier": dynamic_ai_service_api.identifier,
        },
        {
            "name": "write:ai_service",
            "resource_server_identifier": dynamic_ai_service_api.identifier,
        },
    ],
)

# Export the role and resource server details to access them externally if necessary
pulumi.export("ai_service_user_role_id", ai_service_user_role.id)
pulumi.export("dynamic_ai_service_api_identifier", dynamic_ai_service_api.identifier)
```

Here's what each part of the program does:

- We import the necessary Pulumi libraries for general purpose and specifically for Auth0.
- We declare a `ResourceServer` which can be thought of as representing an API or service that we want to protect with Auth0. We assign it an identifier URL (which is not necessarily a real URL, but rather a unique identifier in Auth0), define the `scopes` (permissions), and set other relevant parameters.
- We then declare a `Role` which we name `AI Service User`. This role includes permissions that reference the scopes we defined in the `ResourceServer`.
- Lastly, we export the IDs of the created resources (the role ID and the API identifier). These could be used in other parts of your infrastructure or application to reference the role and API we've set up.

Keep in mind that to actually use these permissions in your application, you would need to implement logic that checks these permissions against the Auth0 token provided by a logged-in user - this is typically handled in your application's backend API or middleware.

The above code provides a template for you to get started with roles and permissions with Auth0 using Pulumi. Customize the scopes and roles as per your service's needs.