1. Bot Framework on Azure Communication Services


    Azure Communication Services (ACS) provide a set of functionalities for enabling real-time communications in your applications, such as voice and video calling, chat, and SMS services. To integrate Bot Framework with ACS, you generally need to create an instance of Communication Services, configure settings, and potentially set up additional resources for advanced scenarios (like linking to other Azure services or setting up networking rules).

    Below is a Pulumi program in Python that demonstrates how to create Azure Communication Services which you can integrate with the Bot Framework. The Pulumi program uses the azure-native provider which interacts directly with Azure Resource Manager APIs and gives access to all Azure resources.

    The program sets up an Azure Communication Service resource, and it exports the endpoint and the primary connection string of the service, which can be used to configure your bot and access the ACS APIs.

    import pulumi import pulumi_azure_native as azure_native # Create a new resource group for Azure Communication Service if you don't have one already resource_group = azure_native.resources.ResourceGroup('myResourceGroup') # Create an instance of Azure Communication Service within the specified resource group communication_service = azure_native.communication.CommunicationService('myCommunicationService', resource_group_name=resource_group.name, location='Global', # Global is a typical location for Azure Communication Services data_location='United States' # Set the data location to meet data residency requirements ) # To see the endpoints and connection strings in the Pulumi output, we export them pulumi.export('communication_service_endpoint', communication_service.host_name) pulumi.export('primary_connection_string', communication_service.primary_connection_string)

    To understand the structure of the Pulumi program:

    • We first import the necessary Pulumi modules for deploying to Azure.
    • We create a ResourceGroup resource, which acts as a container for the Azure Communication Service. Resource groups help organize Azure resources and provide a scope for managing them collectively.
    • Next, we create an CommunicationService resource. This resource represents the Azure Communication Service instance itself. We assign it to the resource group we created earlier, set the location to 'Global', and specify the data location.
    • Lastly, we export two important pieces of information:
      • The communication_service_endpoint will be the URL endpoint for your communication services, which you will use to make API calls.
      • The primary_connection_string is used to authenticate your application to the Communication Service for using its features programmatically.

    After deploying this program with Pulumi, you would have the basic Azure Communication Service setup. You would then follow the Azure Bot Service documentation to create a bot and integrate it with the Communication Service using the exported endpoint and primary connection string.

    Remember to install the required Pulumi Azure Native package in your environment using pip before running the program:

    pip install pulumi_azure_native

    You would also need to have an Azure account setup with the necessary credentials configured for Pulumi, which typically involves logging in via the Azure CLI (az login) and setting up your Pulumi Azure project with the correct subscription and other metadata via pulumi config set.