Connection Deployment Args
data class ConnectionDeploymentArgs(val connectionName: Output<String>? = null, val deploymentName: Output<String>? = null, val properties: Output<Any>? = null, val proxyApiVersion: Output<String>? = null, val resourceGroupName: Output<String>? = null, val workspaceName: Output<String>? = null) : ConvertibleToJava<ConnectionDeploymentArgs>
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. 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/#accessing-any-api-version-via-local-packages for details.
Example Usage
Create Azure OpenAI Connection Deployment
using System.Collections.Generic;
using System.Linq;
using Pulumi;
using AzureNative = Pulumi.AzureNative;
return await Deployment.RunAsync(() =>
{
var connectionDeployment = new AzureNative.MachineLearningServices.ConnectionDeployment("connectionDeployment", new()
{
ConnectionName = "testConnection",
DeploymentName = "text-davinci-003",
Properties = new AzureNative.MachineLearningServices.Inputs.OpenAIEndpointDeploymentResourcePropertiesArgs
{
Model = new AzureNative.MachineLearningServices.Inputs.EndpointDeploymentModelArgs
{
Format = "OpenAI",
Name = "text-davinci-003",
Version = "1",
},
Type = "Azure.OpenAI",
VersionUpgradeOption = AzureNative.MachineLearningServices.DeploymentModelVersionUpgradeOption.OnceNewDefaultVersionAvailable,
},
ResourceGroupName = "resourceGroup-1",
WorkspaceName = "testworkspace",
});
});
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package main
import (
machinelearningservices "github.com/pulumi/pulumi-azure-native-sdk/machinelearningservices/v3"
"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)
func main() {
pulumi.Run(func(ctx *pulumi.Context) error {
_, err := machinelearningservices.NewConnectionDeployment(ctx, "connectionDeployment", &machinelearningservices.ConnectionDeploymentArgs{
ConnectionName: pulumi.String("testConnection"),
DeploymentName: pulumi.String("text-davinci-003"),
Properties: &machinelearningservices.OpenAIEndpointDeploymentResourcePropertiesArgs{
Model: &machinelearningservices.EndpointDeploymentModelArgs{
Format: pulumi.String("OpenAI"),
Name: pulumi.String("text-davinci-003"),
Version: pulumi.String("1"),
},
Type: pulumi.String("Azure.OpenAI"),
VersionUpgradeOption: pulumi.String(machinelearningservices.DeploymentModelVersionUpgradeOptionOnceNewDefaultVersionAvailable),
},
ResourceGroupName: pulumi.String("resourceGroup-1"),
WorkspaceName: pulumi.String("testworkspace"),
})
if err != nil {
return err
}
return nil
})
}
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package generated_program;
import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.azurenative.machinelearningservices.ConnectionDeployment;
import com.pulumi.azurenative.machinelearningservices.ConnectionDeploymentArgs;
import java.util.List;
import java.util.ArrayList;
import java.util.Map;
import java.io.File;
import java.nio.file.Files;
import java.nio.file.Paths;
public class App {
public static void main(String[] args) {
Pulumi.run(App::stack);
}
public static void stack(Context ctx) {
var connectionDeployment = new ConnectionDeployment("connectionDeployment", ConnectionDeploymentArgs.builder()
.connectionName("testConnection")
.deploymentName("text-davinci-003")
.properties(OpenAIEndpointDeploymentResourcePropertiesArgs.builder()
.model(EndpointDeploymentModelArgs.builder()
.format("OpenAI")
.name("text-davinci-003")
.version("1")
.build())
.type("Azure.OpenAI")
.versionUpgradeOption("OnceNewDefaultVersionAvailable")
.build())
.resourceGroupName("resourceGroup-1")
.workspaceName("testworkspace")
.build());
}
}
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Import
An existing resource can be imported using its type token, name, and identifier, e.g.
$ pulumi import azure-native:machinelearningservices:ConnectionDeployment text-davinci-003 /subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/connections/{connectionName}/deployments/{deploymentName}
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Constructors
Properties
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Friendly name of the workspace connection
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Name of the deployment resource
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Api version used by proxy call
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The name of the resource group. The name is case insensitive.
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Azure Machine Learning Workspace Name