com.pulumi.azurenative.machinelearningservices.kotlin.ConnectionRaiPolicy.kt Maven / Gradle / Ivy
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Build cloud applications and infrastructure by combining the safety and reliability of infrastructure as code with the power of the Kotlin programming language.
@file:Suppress("NAME_SHADOWING", "DEPRECATION")
package com.pulumi.azurenative.machinelearningservices.kotlin
import com.pulumi.azurenative.machinelearningservices.kotlin.outputs.RaiPolicyPropertiesResponse
import com.pulumi.azurenative.machinelearningservices.kotlin.outputs.SystemDataResponse
import com.pulumi.core.Output
import com.pulumi.kotlin.KotlinCustomResource
import com.pulumi.kotlin.PulumiTagMarker
import com.pulumi.kotlin.ResourceMapper
import com.pulumi.kotlin.options.CustomResourceOptions
import com.pulumi.kotlin.options.CustomResourceOptionsBuilder
import com.pulumi.resources.Resource
import kotlin.Boolean
import kotlin.String
import kotlin.Suppress
import kotlin.Unit
import com.pulumi.azurenative.machinelearningservices.kotlin.outputs.RaiPolicyPropertiesResponse.Companion.toKotlin as raiPolicyPropertiesResponseToKotlin
import com.pulumi.azurenative.machinelearningservices.kotlin.outputs.SystemDataResponse.Companion.toKotlin as systemDataResponseToKotlin
/**
* Builder for [ConnectionRaiPolicy].
*/
@PulumiTagMarker
public class ConnectionRaiPolicyResourceBuilder internal constructor() {
public var name: String? = null
public var args: ConnectionRaiPolicyArgs = ConnectionRaiPolicyArgs()
public var opts: CustomResourceOptions = CustomResourceOptions()
/**
* @param name The _unique_ name of the resulting resource.
*/
public fun name(`value`: String) {
this.name = value
}
/**
* @param block The arguments to use to populate this resource's properties.
*/
public suspend fun args(block: suspend ConnectionRaiPolicyArgsBuilder.() -> Unit) {
val builder = ConnectionRaiPolicyArgsBuilder()
block(builder)
this.args = builder.build()
}
/**
* @param block A bag of options that control this resource's behavior.
*/
public suspend fun opts(block: suspend CustomResourceOptionsBuilder.() -> Unit) {
this.opts = com.pulumi.kotlin.options.CustomResourceOptions.opts(block)
}
internal fun build(): ConnectionRaiPolicy {
val builtJavaResource =
com.pulumi.azurenative.machinelearningservices.ConnectionRaiPolicy(
this.name,
this.args.toJava(),
this.opts.toJava(),
)
return ConnectionRaiPolicy(builtJavaResource)
}
}
/**
* Azure OpenAI Content Filters resource.
* Azure REST API version: 2024-04-01-preview.
* Other available API versions: 2024-07-01-preview.
* ## Example Usage
* ### Create Rai policy
* ```csharp
* using System.Collections.Generic;
* using System.Linq;
* using Pulumi;
* using AzureNative = Pulumi.AzureNative;
* return await Deployment.RunAsync(() =>
* {
* var connectionRaiPolicy = new AzureNative.MachineLearningServices.ConnectionRaiPolicy("connectionRaiPolicy", new()
* {
* ConnectionName = "testConnection",
* 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",
* });
* });
* ```
* ```go
* 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.NewConnectionRaiPolicy(ctx, "connectionRaiPolicy", &machinelearningservices.ConnectionRaiPolicyArgs{
* ConnectionName: pulumi.String("testConnection"),
* 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
* })
* }
* ```
* ```java
* package generated_program;
* import com.pulumi.Context;
* import com.pulumi.Pulumi;
* import com.pulumi.core.Output;
* import com.pulumi.azurenative.machinelearningservices.ConnectionRaiPolicy;
* import com.pulumi.azurenative.machinelearningservices.ConnectionRaiPolicyArgs;
* 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 connectionRaiPolicy = new ConnectionRaiPolicy("connectionRaiPolicy", ConnectionRaiPolicyArgs.builder()
* .connectionName("testConnection")
* .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());
* }
* }
* ```
* ## Import
* An existing resource can be imported using its type token, name, and identifier, e.g.
* ```sh
* $ pulumi import azure-native:machinelearningservices:ConnectionRaiPolicy raiPolicyName /subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/connections/{connectionName}/raiPolicies/{raiPolicyName}
* ```
*/
public class ConnectionRaiPolicy internal constructor(
override val javaResource: com.pulumi.azurenative.machinelearningservices.ConnectionRaiPolicy,
) : KotlinCustomResource(javaResource, ConnectionRaiPolicyMapper) {
/**
* The name of the resource
*/
public val name: Output
get() = javaResource.name().applyValue({ args0 -> args0 })
/**
* Azure OpenAI Content Filters properties.
*/
public val properties: Output
get() = javaResource.properties().applyValue({ args0 ->
args0.let({ args0 ->
raiPolicyPropertiesResponseToKotlin(args0)
})
})
/**
* Azure Resource Manager metadata containing createdBy and modifiedBy information.
*/
public val systemData: Output
get() = javaResource.systemData().applyValue({ args0 ->
args0.let({ args0 ->
systemDataResponseToKotlin(args0)
})
})
/**
* The type of the resource. E.g. "Microsoft.Compute/virtualMachines" or "Microsoft.Storage/storageAccounts"
*/
public val type: Output
get() = javaResource.type().applyValue({ args0 -> args0 })
}
public object ConnectionRaiPolicyMapper : ResourceMapper {
override fun supportsMappingOfType(javaResource: Resource): Boolean =
com.pulumi.azurenative.machinelearningservices.ConnectionRaiPolicy::class == javaResource::class
override fun map(javaResource: Resource): ConnectionRaiPolicy = ConnectionRaiPolicy(
javaResource
as com.pulumi.azurenative.machinelearningservices.ConnectionRaiPolicy,
)
}
/**
* @see [ConnectionRaiPolicy].
* @param name The _unique_ name of the resulting resource.
* @param block Builder for [ConnectionRaiPolicy].
*/
public suspend fun connectionRaiPolicy(
name: String,
block: suspend ConnectionRaiPolicyResourceBuilder.() -> Unit,
): ConnectionRaiPolicy {
val builder = ConnectionRaiPolicyResourceBuilder()
builder.name(name)
block(builder)
return builder.build()
}
/**
* @see [ConnectionRaiPolicy].
* @param name The _unique_ name of the resulting resource.
*/
public fun connectionRaiPolicy(name: String): ConnectionRaiPolicy {
val builder = ConnectionRaiPolicyResourceBuilder()
builder.name(name)
return builder.build()
}
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