RaiPolicyArgs

using System.Collections.Generic;
using System.Linq;
using Pulumi;
using AzureNative = Pulumi.AzureNative;
return await Deployment.RunAsync(() =>
{
    var raiPolicy = new AzureNative.MachineLearningServices.RaiPolicy("raiPolicy", new()
    {
        EndpointName = "Azure.OpenAI",
        Properties = new AzureNative.MachineLearningServices.Inputs.RaiPolicyPropertiesArgs
        {
            BasePolicyName = "112",
            CompletionBlocklists = new[]
            {
                new AzureNative.MachineLearningServices.Inputs.RaiBlocklistConfigArgs
                {
                    Blocking = false,
                    BlocklistName = "blocklistName",
                },
            },
            ContentFilters = new[]
            {
                new AzureNative.MachineLearningServices.Inputs.RaiPolicyContentFilterArgs
                {
                    AllowedContentLevel = AzureNative.MachineLearningServices.AllowedContentLevel.Low,
                    Blocking = false,
                    Enabled = false,
                    Name = "policyName",
                    Source = AzureNative.MachineLearningServices.RaiPolicyContentSource.Prompt,
                },
            },
            Mode = AzureNative.MachineLearningServices.RaiPolicyMode.Blocking,
            PromptBlocklists = new[]
            {
                new AzureNative.MachineLearningServices.Inputs.RaiBlocklistConfigArgs
                {
                    Blocking = false,
                    BlocklistName = "blocklistName",
                },
            },
            Type = AzureNative.MachineLearningServices.RaiPolicyType.SystemManaged,
        },
        RaiPolicyName = "raiPolicyName",
        ResourceGroupName = "test-rg",
        WorkspaceName = "aml-workspace-name",
    });
});

package main
import (
	machinelearningservices "github.com/pulumi/pulumi-azure-native-sdk/machinelearningservices/v2"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)
func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		_, err := machinelearningservices.NewRaiPolicy(ctx, "raiPolicy", &machinelearningservices.RaiPolicyArgs{
			EndpointName: pulumi.String("Azure.OpenAI"),
			Properties: &machinelearningservices.RaiPolicyPropertiesArgs{
				BasePolicyName: pulumi.String("112"),
				CompletionBlocklists: machinelearningservices.RaiBlocklistConfigArray{
					&machinelearningservices.RaiBlocklistConfigArgs{
						Blocking:      pulumi.Bool(false),
						BlocklistName: pulumi.String("blocklistName"),
					},
				},
				ContentFilters: machinelearningservices.RaiPolicyContentFilterArray{
					&machinelearningservices.RaiPolicyContentFilterArgs{
						AllowedContentLevel: pulumi.String(machinelearningservices.AllowedContentLevelLow),
						Blocking:            pulumi.Bool(false),
						Enabled:             pulumi.Bool(false),
						Name:                pulumi.String("policyName"),
						Source:              pulumi.String(machinelearningservices.RaiPolicyContentSourcePrompt),
					},
				},
				Mode: pulumi.String(machinelearningservices.RaiPolicyModeBlocking),
				PromptBlocklists: machinelearningservices.RaiBlocklistConfigArray{
					&machinelearningservices.RaiBlocklistConfigArgs{
						Blocking:      pulumi.Bool(false),
						BlocklistName: pulumi.String("blocklistName"),
					},
				},
				Type: pulumi.String(machinelearningservices.RaiPolicyTypeSystemManaged),
			},
			RaiPolicyName:     pulumi.String("raiPolicyName"),
			ResourceGroupName: pulumi.String("test-rg"),
			WorkspaceName:     pulumi.String("aml-workspace-name"),
		})
		if err != nil {
			return err
		}
		return nil
	})
}

package generated_program;
import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.azurenative.machinelearningservices.RaiPolicy;
import com.pulumi.azurenative.machinelearningservices.RaiPolicyArgs;
import com.pulumi.azurenative.machinelearningservices.inputs.RaiPolicyPropertiesArgs;
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 raiPolicy = new RaiPolicy("raiPolicy", RaiPolicyArgs.builder()
            .endpointName("Azure.OpenAI")
            .properties(RaiPolicyPropertiesArgs.builder()
                .basePolicyName("112")
                .completionBlocklists(RaiBlocklistConfigArgs.builder()
                    .blocking(false)
                    .blocklistName("blocklistName")
                    .build())
                .contentFilters(RaiPolicyContentFilterArgs.builder()
                    .allowedContentLevel("Low")
                    .blocking(false)
                    .enabled(false)
                    .name("policyName")
                    .source("Prompt")
                    .build())
                .mode("Blocking")
                .promptBlocklists(RaiBlocklistConfigArgs.builder()
                    .blocking(false)
                    .blocklistName("blocklistName")
                    .build())
                .type("SystemManaged")
                .build())
            .raiPolicyName("raiPolicyName")
            .resourceGroupName("test-rg")
            .workspaceName("aml-workspace-name")
            .build());
    }
}

$ pulumi import azure-native:machinelearningservices:RaiPolicy raiPolicyName /subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/endpoints/{endpointName}/raiPolicies/{raiPolicyName}