@pulumi/azure-native
Version:
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TypeScript
import * as pulumi from "@pulumi/pulumi";
import * as inputs from "../types/input";
import * as outputs from "../types/output";
/**
* Uses Azure REST API version 2025-01-01-preview. In version 2.x of the Azure Native provider, it used API version 2024-04-01-preview.
*
* Other available API versions: 2024-04-01-preview, 2024-07-01-preview, 2024-10-01-preview, 2025-04-01-preview, 2025-07-01-preview. These can be accessed by generating a local SDK package using the CLI command `pulumi package add azure-native machinelearningservices [ApiVersion]`. See the [version guide](../../../version-guide/#accessing-any-api-version-via-local-packages) for details.
*/
export declare class ConnectionDeployment extends pulumi.CustomResource {
/**
* Get an existing ConnectionDeployment resource's state with the given name, ID, and optional extra
* properties used to qualify the lookup.
*
* @param name The _unique_ name of the resulting resource.
* @param id The _unique_ provider ID of the resource to lookup.
* @param opts Optional settings to control the behavior of the CustomResource.
*/
static get(name: string, id: pulumi.Input<pulumi.ID>, opts?: pulumi.CustomResourceOptions): ConnectionDeployment;
/**
* Returns true if the given object is an instance of ConnectionDeployment. This is designed to work even
* when multiple copies of the Pulumi SDK have been loaded into the same process.
*/
static isInstance(obj: any): obj is ConnectionDeployment;
/**
* The Azure API version of the resource.
*/
readonly azureApiVersion: pulumi.Output<string>;
/**
* The name of the resource
*/
readonly name: pulumi.Output<string>;
readonly properties: pulumi.Output<outputs.machinelearningservices.ContentSafetyEndpointDeploymentResourcePropertiesResponse | outputs.machinelearningservices.ManagedOnlineEndpointDeploymentResourcePropertiesResponse | outputs.machinelearningservices.OpenAIEndpointDeploymentResourcePropertiesResponse | outputs.machinelearningservices.SpeechEndpointDeploymentResourcePropertiesResponse>;
/**
* Azure Resource Manager metadata containing createdBy and modifiedBy information.
*/
readonly systemData: pulumi.Output<outputs.machinelearningservices.SystemDataResponse>;
/**
* The type of the resource. E.g. "Microsoft.Compute/virtualMachines" or "Microsoft.Storage/storageAccounts"
*/
readonly type: pulumi.Output<string>;
/**
* Create a ConnectionDeployment resource with the given unique name, arguments, and options.
*
* @param name The _unique_ name of the resource.
* @param args The arguments to use to populate this resource's properties.
* @param opts A bag of options that control this resource's behavior.
*/
constructor(name: string, args: ConnectionDeploymentArgs, opts?: pulumi.CustomResourceOptions);
}
/**
* The set of arguments for constructing a ConnectionDeployment resource.
*/
export interface ConnectionDeploymentArgs {
/**
* Friendly name of the workspace connection
*/
connectionName: pulumi.Input<string>;
/**
* Name of the deployment resource
*/
deploymentName?: pulumi.Input<string>;
properties: pulumi.Input<inputs.machinelearningservices.ContentSafetyEndpointDeploymentResourcePropertiesArgs | inputs.machinelearningservices.ManagedOnlineEndpointDeploymentResourcePropertiesArgs | inputs.machinelearningservices.OpenAIEndpointDeploymentResourcePropertiesArgs | inputs.machinelearningservices.SpeechEndpointDeploymentResourcePropertiesArgs>;
/**
* Api version used by proxy call
*/
proxyApiVersion?: pulumi.Input<string>;
/**
* The name of the resource group. The name is case insensitive.
*/
resourceGroupName: pulumi.Input<string>;
/**
* Azure Machine Learning Workspace Name
*/
workspaceName: pulumi.Input<string>;
}