1. Centralized AI API Gateway with Azure API Management


    To create a centralized AI API Gateway using Azure API Management, you'll utilize several services from the Azure API Management (APIM) suite to expose your AI services securely and effectively. Below are the key components we will set up:

    1. apimanagement.Service: This is the central piece—the API Management service itself. It acts as a proxy to backend services and provides a single endpoint for API consumers.
    2. apimanagement.Api: Defines the API and its operations that you want to offer through Azure API Management.
    3. apimanagement.Product: Products in Azure API Management help you to group a collection of APIs and offer them to developers through the developer portal.
    4. apimanagement.Group: Groups are used to manage the visibility of products to developers.
    5. apimanagement.Policy: Policies are a powerful capability of the system that allows the publisher to change the behavior of the API through configuration. Policies are a collection of statements that are executed sequentially on the request or response of an API.
    6. apimanagement.Backend: A backend in Azure API Management is a set of web services or API applications that API Management proxies requests to.

    Applying these will allow users to call your AI services via a centralized and well-managed gateway, providing facilities such as user authentication, rate-limiting, and caching.

    Here's a Pulumi Python program that declares resources to set up an AI API Gateway:

    import pulumi import pulumi_azure_native.apimanagement as apimanagement # Initialize Azure resource group resource_group = apimanagement.ResourceGroup("aiApiResourceGroup") # Define the API Management service api_management_service = apimanagement.Service("aiApiManagementService", resource_group_name=resource_group.name, publisher_name="Your Publisher Name", publisher_email="publisher@email.com", sku_name="Developer_1" # Developer SKU for non-production use ) # Define an API within the API Management service api = apimanagement.Api("aiApi", resource_group_name=resource_group.name, service_name=api_management_service.name, display_name="AI Services API", path="ai-services", protocols=["https"] ) # Create a product, which helps organize APIs and offer them to developers product = apimanagement.Product("aiProduct", resource_group_name=resource_group.name, service_name=api_management_service.name, display_name="AI Product", description="AI services available for consumption", subscription_required=True, # Require subscription for access approval_required=False, # Auto-approve subscriptions published=True # Make the product available in the developer portal ) # Add the API to the product apimanagement.ProductApi("aiProductApi", resource_group_name=resource_group.name, service_name=api_management_service.name, product_id=product.product_id, api_id=api.api_id ) # Define an API policy that specifies various behavior controls policy = apimanagement.Policy("aiPolicy", resource_group_name=resource_group.name, service_name=api_management_service.name, policy_id="policy", value="<policies><inbound><base /></inbound><backend><base /></backend><outbound><base /></outbound><on-error><base /></on-error></policies>" ) # Define a backend where the actual AI service is hosted backend = apimanagement.Backend("aiBackend", resource_group_name=resource_group.name, service_name=api_management_service.name, url="https://backend.ai.example.com", # URL to the hosted AI service protocol=apimanagement.Protocol(Http="http"), # Communication protocol description="The backend for AI services" ) # Export the API Gateway URL pulumi.export("gateway_url", api_management_service.gateway_url)

    In this Pulumi program:

    • We start by creating a resource group that will contain all of our APIM resources.
    • The Service class is instantiated to create the API Management service itself, which manages the APIs for your AI services.
    • Then, we define an Api to represent the AI services we want to expose.
    • We organize our API under Product, which can be used to group multiple APIs and manage them together.
    • The ProductApi relationship is then defined to include the API under the specified product.
    • The Policy attached to our API defines the behavior of the API, like transformation and restriction policies.
    • Finally, the Backend specifies the address of the actual AI services that will be called through the APIM.

    We finish by exporting the gateway URL, which can be used to access the API Gateway once it's deployed.

    You'll need to replace placeholder values like publisher@email.com and backend.ai.example.com with your actual publisher's email and the backend service's URL where your AI services are hosted.