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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.aws.bedrock.kotlin
import com.pulumi.aws.bedrock.CustomModelArgs.builder
import com.pulumi.aws.bedrock.kotlin.inputs.CustomModelOutputDataConfigArgs
import com.pulumi.aws.bedrock.kotlin.inputs.CustomModelOutputDataConfigArgsBuilder
import com.pulumi.aws.bedrock.kotlin.inputs.CustomModelTimeoutsArgs
import com.pulumi.aws.bedrock.kotlin.inputs.CustomModelTimeoutsArgsBuilder
import com.pulumi.aws.bedrock.kotlin.inputs.CustomModelTrainingDataConfigArgs
import com.pulumi.aws.bedrock.kotlin.inputs.CustomModelTrainingDataConfigArgsBuilder
import com.pulumi.aws.bedrock.kotlin.inputs.CustomModelValidationDataConfigArgs
import com.pulumi.aws.bedrock.kotlin.inputs.CustomModelValidationDataConfigArgsBuilder
import com.pulumi.aws.bedrock.kotlin.inputs.CustomModelVpcConfigArgs
import com.pulumi.aws.bedrock.kotlin.inputs.CustomModelVpcConfigArgsBuilder
import com.pulumi.core.Output
import com.pulumi.core.Output.of
import com.pulumi.kotlin.ConvertibleToJava
import com.pulumi.kotlin.PulumiTagMarker
import com.pulumi.kotlin.applySuspend
import kotlin.Pair
import kotlin.String
import kotlin.Suppress
import kotlin.Unit
import kotlin.collections.Map
import kotlin.jvm.JvmName
/**
* ## Example Usage
*
* ```typescript
* import * as pulumi from "@pulumi/pulumi";
* import * as aws from "@pulumi/aws";
* const example = aws.bedrockfoundation.getModel({
* modelId: "amazon.titan-text-express-v1",
* });
* const exampleCustomModel = new aws.bedrock.CustomModel("example", {
* customModelName: "example-model",
* jobName: "example-job-1",
* baseModelIdentifier: example.then(example => example.modelArn),
* roleArn: exampleAwsIamRole.arn,
* hyperparameters: {
* epochCount: "1",
* batchSize: "1",
* learningRate: "0.005",
* learningRateWarmupSteps: "0",
* },
* outputDataConfig: {
* s3Uri: `s3://${output.id}/data/`,
* },
* trainingDataConfig: {
* s3Uri: `s3://${training.id}/data/train.jsonl`,
* },
* });
* ```
* ```python
* import pulumi
* import pulumi_aws as aws
* example = aws.bedrockfoundation.get_model(model_id="amazon.titan-text-express-v1")
* example_custom_model = aws.bedrock.CustomModel("example",
* custom_model_name="example-model",
* job_name="example-job-1",
* base_model_identifier=example.model_arn,
* role_arn=example_aws_iam_role["arn"],
* hyperparameters={
* "epochCount": "1",
* "batchSize": "1",
* "learningRate": "0.005",
* "learningRateWarmupSteps": "0",
* },
* output_data_config={
* "s3_uri": f"s3://{output['id']}/data/",
* },
* training_data_config={
* "s3_uri": f"s3://{training['id']}/data/train.jsonl",
* })
* ```
* ```csharp
* using System.Collections.Generic;
* using System.Linq;
* using Pulumi;
* using Aws = Pulumi.Aws;
* return await Deployment.RunAsync(() =>
* {
* var example = Aws.BedrockFoundation.GetModel.Invoke(new()
* {
* ModelId = "amazon.titan-text-express-v1",
* });
* var exampleCustomModel = new Aws.Bedrock.CustomModel("example", new()
* {
* CustomModelName = "example-model",
* JobName = "example-job-1",
* BaseModelIdentifier = example.Apply(getModelResult => getModelResult.ModelArn),
* RoleArn = exampleAwsIamRole.Arn,
* Hyperparameters =
* {
* { "epochCount", "1" },
* { "batchSize", "1" },
* { "learningRate", "0.005" },
* { "learningRateWarmupSteps", "0" },
* },
* OutputDataConfig = new Aws.Bedrock.Inputs.CustomModelOutputDataConfigArgs
* {
* S3Uri = $"s3://{output.Id}/data/",
* },
* TrainingDataConfig = new Aws.Bedrock.Inputs.CustomModelTrainingDataConfigArgs
* {
* S3Uri = $"s3://{training.Id}/data/train.jsonl",
* },
* });
* });
* ```
* ```go
* package main
* import (
* "fmt"
* "github.com/pulumi/pulumi-aws/sdk/v6/go/aws/bedrock"
* "github.com/pulumi/pulumi-aws/sdk/v6/go/aws/bedrockfoundation"
* "github.com/pulumi/pulumi/sdk/v3/go/pulumi"
* )
* func main() {
* pulumi.Run(func(ctx *pulumi.Context) error {
* example, err := bedrockfoundation.GetModel(ctx, &bedrockfoundation.GetModelArgs{
* ModelId: "amazon.titan-text-express-v1",
* }, nil)
* if err != nil {
* return err
* }
* _, err = bedrock.NewCustomModel(ctx, "example", &bedrock.CustomModelArgs{
* CustomModelName: pulumi.String("example-model"),
* JobName: pulumi.String("example-job-1"),
* BaseModelIdentifier: pulumi.String(example.ModelArn),
* RoleArn: pulumi.Any(exampleAwsIamRole.Arn),
* Hyperparameters: pulumi.StringMap{
* "epochCount": pulumi.String("1"),
* "batchSize": pulumi.String("1"),
* "learningRate": pulumi.String("0.005"),
* "learningRateWarmupSteps": pulumi.String("0"),
* },
* OutputDataConfig: &bedrock.CustomModelOutputDataConfigArgs{
* S3Uri: pulumi.Sprintf("s3://%v/data/", output.Id),
* },
* TrainingDataConfig: &bedrock.CustomModelTrainingDataConfigArgs{
* S3Uri: pulumi.Sprintf("s3://%v/data/train.jsonl", training.Id),
* },
* })
* 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.aws.bedrockfoundation.BedrockfoundationFunctions;
* import com.pulumi.aws.bedrockfoundation.inputs.GetModelArgs;
* import com.pulumi.aws.bedrock.CustomModel;
* import com.pulumi.aws.bedrock.CustomModelArgs;
* import com.pulumi.aws.bedrock.inputs.CustomModelOutputDataConfigArgs;
* import com.pulumi.aws.bedrock.inputs.CustomModelTrainingDataConfigArgs;
* 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) {
* final var example = BedrockfoundationFunctions.getModel(GetModelArgs.builder()
* .modelId("amazon.titan-text-express-v1")
* .build());
* var exampleCustomModel = new CustomModel("exampleCustomModel", CustomModelArgs.builder()
* .customModelName("example-model")
* .jobName("example-job-1")
* .baseModelIdentifier(example.applyValue(getModelResult -> getModelResult.modelArn()))
* .roleArn(exampleAwsIamRole.arn())
* .hyperparameters(Map.ofEntries(
* Map.entry("epochCount", "1"),
* Map.entry("batchSize", "1"),
* Map.entry("learningRate", "0.005"),
* Map.entry("learningRateWarmupSteps", "0")
* ))
* .outputDataConfig(CustomModelOutputDataConfigArgs.builder()
* .s3Uri(String.format("s3://%s/data/", output.id()))
* .build())
* .trainingDataConfig(CustomModelTrainingDataConfigArgs.builder()
* .s3Uri(String.format("s3://%s/data/train.jsonl", training.id()))
* .build())
* .build());
* }
* }
* ```
* ```yaml
* resources:
* exampleCustomModel:
* type: aws:bedrock:CustomModel
* name: example
* properties:
* customModelName: example-model
* jobName: example-job-1
* baseModelIdentifier: ${example.modelArn}
* roleArn: ${exampleAwsIamRole.arn}
* hyperparameters:
* epochCount: '1'
* batchSize: '1'
* learningRate: '0.005'
* learningRateWarmupSteps: '0'
* outputDataConfig:
* s3Uri: s3://${output.id}/data/
* trainingDataConfig:
* s3Uri: s3://${training.id}/data/train.jsonl
* variables:
* example:
* fn::invoke:
* Function: aws:bedrockfoundation:getModel
* Arguments:
* modelId: amazon.titan-text-express-v1
* ```
*
* ## Import
* Using `pulumi import`, import Bedrock custom model using the `job_arn`. For example:
* ```sh
* $ pulumi import aws:bedrock/customModel:CustomModel example arn:aws:bedrock:us-west-2:123456789012:model-customization-job/amazon.titan-text-express-v1:0:8k/1y5n57gh5y2e
* ```
* @property baseModelIdentifier The Amazon Resource Name (ARN) of the base model.
* @property customModelKmsKeyId The custom model is encrypted at rest using this key. Specify the key ARN.
* @property customModelName Name for the custom model.
* @property customizationType The customization type. Valid values: `FINE_TUNING`, `CONTINUED_PRE_TRAINING`.
* @property hyperparameters [Parameters](https://docs.aws.amazon.com/bedrock/latest/userguide/custom-models-hp.html) related to tuning the model.
* @property jobName A name for the customization job.
* @property outputDataConfig S3 location for the output data.
* @property roleArn The Amazon Resource Name (ARN) of an IAM role that Bedrock can assume to perform tasks on your behalf.
* @property tags A map of tags to assign to the customization job and custom model. If configured with a provider `default_tags` configuration block present, tags with matching keys will overwrite those defined at the provider-level.
* @property timeouts
* @property trainingDataConfig Information about the training dataset.
* @property validationDataConfig Information about the validation dataset.
* @property vpcConfig Configuration parameters for the private Virtual Private Cloud (VPC) that contains the resources you are using for this job.
*/
public data class CustomModelArgs(
public val baseModelIdentifier: Output? = null,
public val customModelKmsKeyId: Output? = null,
public val customModelName: Output? = null,
public val customizationType: Output? = null,
public val hyperparameters: Output>? = null,
public val jobName: Output? = null,
public val outputDataConfig: Output? = null,
public val roleArn: Output? = null,
public val tags: Output>? = null,
public val timeouts: Output? = null,
public val trainingDataConfig: Output? = null,
public val validationDataConfig: Output? = null,
public val vpcConfig: Output? = null,
) : ConvertibleToJava {
override fun toJava(): com.pulumi.aws.bedrock.CustomModelArgs =
com.pulumi.aws.bedrock.CustomModelArgs.builder()
.baseModelIdentifier(baseModelIdentifier?.applyValue({ args0 -> args0 }))
.customModelKmsKeyId(customModelKmsKeyId?.applyValue({ args0 -> args0 }))
.customModelName(customModelName?.applyValue({ args0 -> args0 }))
.customizationType(customizationType?.applyValue({ args0 -> args0 }))
.hyperparameters(
hyperparameters?.applyValue({ args0 ->
args0.map({ args0 ->
args0.key.to(args0.value)
}).toMap()
}),
)
.jobName(jobName?.applyValue({ args0 -> args0 }))
.outputDataConfig(outputDataConfig?.applyValue({ args0 -> args0.let({ args0 -> args0.toJava() }) }))
.roleArn(roleArn?.applyValue({ args0 -> args0 }))
.tags(tags?.applyValue({ args0 -> args0.map({ args0 -> args0.key.to(args0.value) }).toMap() }))
.timeouts(timeouts?.applyValue({ args0 -> args0.let({ args0 -> args0.toJava() }) }))
.trainingDataConfig(
trainingDataConfig?.applyValue({ args0 ->
args0.let({ args0 ->
args0.toJava()
})
}),
)
.validationDataConfig(
validationDataConfig?.applyValue({ args0 ->
args0.let({ args0 ->
args0.toJava()
})
}),
)
.vpcConfig(vpcConfig?.applyValue({ args0 -> args0.let({ args0 -> args0.toJava() }) })).build()
}
/**
* Builder for [CustomModelArgs].
*/
@PulumiTagMarker
public class CustomModelArgsBuilder internal constructor() {
private var baseModelIdentifier: Output? = null
private var customModelKmsKeyId: Output? = null
private var customModelName: Output? = null
private var customizationType: Output? = null
private var hyperparameters: Output>? = null
private var jobName: Output? = null
private var outputDataConfig: Output? = null
private var roleArn: Output? = null
private var tags: Output>? = null
private var timeouts: Output? = null
private var trainingDataConfig: Output? = null
private var validationDataConfig: Output? = null
private var vpcConfig: Output? = null
/**
* @param value The Amazon Resource Name (ARN) of the base model.
*/
@JvmName("towlysvchcnafghr")
public suspend fun baseModelIdentifier(`value`: Output) {
this.baseModelIdentifier = value
}
/**
* @param value The custom model is encrypted at rest using this key. Specify the key ARN.
*/
@JvmName("qgpmqwvlftcaeyro")
public suspend fun customModelKmsKeyId(`value`: Output) {
this.customModelKmsKeyId = value
}
/**
* @param value Name for the custom model.
*/
@JvmName("hxbbrsherxgtsyes")
public suspend fun customModelName(`value`: Output) {
this.customModelName = value
}
/**
* @param value The customization type. Valid values: `FINE_TUNING`, `CONTINUED_PRE_TRAINING`.
*/
@JvmName("vsdglnxvjifxbvdb")
public suspend fun customizationType(`value`: Output) {
this.customizationType = value
}
/**
* @param value [Parameters](https://docs.aws.amazon.com/bedrock/latest/userguide/custom-models-hp.html) related to tuning the model.
*/
@JvmName("ifyrljiilhpltson")
public suspend fun hyperparameters(`value`: Output>) {
this.hyperparameters = value
}
/**
* @param value A name for the customization job.
*/
@JvmName("gpelusmaxhhvowqk")
public suspend fun jobName(`value`: Output) {
this.jobName = value
}
/**
* @param value S3 location for the output data.
*/
@JvmName("ssmhmpngwsbyoxiv")
public suspend fun outputDataConfig(`value`: Output) {
this.outputDataConfig = value
}
/**
* @param value The Amazon Resource Name (ARN) of an IAM role that Bedrock can assume to perform tasks on your behalf.
*/
@JvmName("xqmtcviltuhstbhg")
public suspend fun roleArn(`value`: Output) {
this.roleArn = value
}
/**
* @param value A map of tags to assign to the customization job and custom model. If configured with a provider `default_tags` configuration block present, tags with matching keys will overwrite those defined at the provider-level.
*/
@JvmName("ybhkeiilkwwsydwi")
public suspend fun tags(`value`: Output>) {
this.tags = value
}
/**
* @param value
*/
@JvmName("lsrhvqlfwrqcthys")
public suspend fun timeouts(`value`: Output) {
this.timeouts = value
}
/**
* @param value Information about the training dataset.
*/
@JvmName("hamfmqaebwbhgmac")
public suspend fun trainingDataConfig(`value`: Output) {
this.trainingDataConfig = value
}
/**
* @param value Information about the validation dataset.
*/
@JvmName("bnotyfuvddsrcyfv")
public suspend fun validationDataConfig(`value`: Output) {
this.validationDataConfig = value
}
/**
* @param value Configuration parameters for the private Virtual Private Cloud (VPC) that contains the resources you are using for this job.
*/
@JvmName("uedihvejaepblyhc")
public suspend fun vpcConfig(`value`: Output) {
this.vpcConfig = value
}
/**
* @param value The Amazon Resource Name (ARN) of the base model.
*/
@JvmName("woykfgqtipngvibe")
public suspend fun baseModelIdentifier(`value`: String?) {
val toBeMapped = value
val mapped = toBeMapped?.let({ args0 -> of(args0) })
this.baseModelIdentifier = mapped
}
/**
* @param value The custom model is encrypted at rest using this key. Specify the key ARN.
*/
@JvmName("pkbeioqswnngpnhr")
public suspend fun customModelKmsKeyId(`value`: String?) {
val toBeMapped = value
val mapped = toBeMapped?.let({ args0 -> of(args0) })
this.customModelKmsKeyId = mapped
}
/**
* @param value Name for the custom model.
*/
@JvmName("idrnxuyicwjfrapo")
public suspend fun customModelName(`value`: String?) {
val toBeMapped = value
val mapped = toBeMapped?.let({ args0 -> of(args0) })
this.customModelName = mapped
}
/**
* @param value The customization type. Valid values: `FINE_TUNING`, `CONTINUED_PRE_TRAINING`.
*/
@JvmName("wohlhxfoeqwutdgn")
public suspend fun customizationType(`value`: String?) {
val toBeMapped = value
val mapped = toBeMapped?.let({ args0 -> of(args0) })
this.customizationType = mapped
}
/**
* @param value [Parameters](https://docs.aws.amazon.com/bedrock/latest/userguide/custom-models-hp.html) related to tuning the model.
*/
@JvmName("fmtejlqepwxhekwy")
public suspend fun hyperparameters(`value`: Map?) {
val toBeMapped = value
val mapped = toBeMapped?.let({ args0 -> of(args0) })
this.hyperparameters = mapped
}
/**
* @param values [Parameters](https://docs.aws.amazon.com/bedrock/latest/userguide/custom-models-hp.html) related to tuning the model.
*/
@JvmName("tjfdgyvyhyfhwvrd")
public fun hyperparameters(vararg values: Pair) {
val toBeMapped = values.toMap()
val mapped = toBeMapped.let({ args0 -> of(args0) })
this.hyperparameters = mapped
}
/**
* @param value A name for the customization job.
*/
@JvmName("qwsnsbgwonaqeggx")
public suspend fun jobName(`value`: String?) {
val toBeMapped = value
val mapped = toBeMapped?.let({ args0 -> of(args0) })
this.jobName = mapped
}
/**
* @param value S3 location for the output data.
*/
@JvmName("muyfdugiqwqqluut")
public suspend fun outputDataConfig(`value`: CustomModelOutputDataConfigArgs?) {
val toBeMapped = value
val mapped = toBeMapped?.let({ args0 -> of(args0) })
this.outputDataConfig = mapped
}
/**
* @param argument S3 location for the output data.
*/
@JvmName("pbwpidpojtiurujh")
public suspend fun outputDataConfig(argument: suspend CustomModelOutputDataConfigArgsBuilder.() -> Unit) {
val toBeMapped = CustomModelOutputDataConfigArgsBuilder().applySuspend { argument() }.build()
val mapped = of(toBeMapped)
this.outputDataConfig = mapped
}
/**
* @param value The Amazon Resource Name (ARN) of an IAM role that Bedrock can assume to perform tasks on your behalf.
*/
@JvmName("rlotrggmhmdtmqhr")
public suspend fun roleArn(`value`: String?) {
val toBeMapped = value
val mapped = toBeMapped?.let({ args0 -> of(args0) })
this.roleArn = mapped
}
/**
* @param value A map of tags to assign to the customization job and custom model. If configured with a provider `default_tags` configuration block present, tags with matching keys will overwrite those defined at the provider-level.
*/
@JvmName("jadvejqwhqmxvnul")
public suspend fun tags(`value`: Map?) {
val toBeMapped = value
val mapped = toBeMapped?.let({ args0 -> of(args0) })
this.tags = mapped
}
/**
* @param values A map of tags to assign to the customization job and custom model. If configured with a provider `default_tags` configuration block present, tags with matching keys will overwrite those defined at the provider-level.
*/
@JvmName("ucckskcvjrofrxdn")
public fun tags(vararg values: Pair) {
val toBeMapped = values.toMap()
val mapped = toBeMapped.let({ args0 -> of(args0) })
this.tags = mapped
}
/**
* @param value
*/
@JvmName("jeugeehkbgaukmpp")
public suspend fun timeouts(`value`: CustomModelTimeoutsArgs?) {
val toBeMapped = value
val mapped = toBeMapped?.let({ args0 -> of(args0) })
this.timeouts = mapped
}
/**
* @param argument
*/
@JvmName("wqvluocuompjkblh")
public suspend fun timeouts(argument: suspend CustomModelTimeoutsArgsBuilder.() -> Unit) {
val toBeMapped = CustomModelTimeoutsArgsBuilder().applySuspend { argument() }.build()
val mapped = of(toBeMapped)
this.timeouts = mapped
}
/**
* @param value Information about the training dataset.
*/
@JvmName("spvmklyvvmghcvnt")
public suspend fun trainingDataConfig(`value`: CustomModelTrainingDataConfigArgs?) {
val toBeMapped = value
val mapped = toBeMapped?.let({ args0 -> of(args0) })
this.trainingDataConfig = mapped
}
/**
* @param argument Information about the training dataset.
*/
@JvmName("ksatcofnmmghivrn")
public suspend fun trainingDataConfig(argument: suspend CustomModelTrainingDataConfigArgsBuilder.() -> Unit) {
val toBeMapped = CustomModelTrainingDataConfigArgsBuilder().applySuspend { argument() }.build()
val mapped = of(toBeMapped)
this.trainingDataConfig = mapped
}
/**
* @param value Information about the validation dataset.
*/
@JvmName("kjcffmbhinvwgnld")
public suspend fun validationDataConfig(`value`: CustomModelValidationDataConfigArgs?) {
val toBeMapped = value
val mapped = toBeMapped?.let({ args0 -> of(args0) })
this.validationDataConfig = mapped
}
/**
* @param argument Information about the validation dataset.
*/
@JvmName("mqmaslgewvptydwf")
public suspend fun validationDataConfig(argument: suspend CustomModelValidationDataConfigArgsBuilder.() -> Unit) {
val toBeMapped = CustomModelValidationDataConfigArgsBuilder().applySuspend { argument() }.build()
val mapped = of(toBeMapped)
this.validationDataConfig = mapped
}
/**
* @param value Configuration parameters for the private Virtual Private Cloud (VPC) that contains the resources you are using for this job.
*/
@JvmName("uaumaksijgsnkbqm")
public suspend fun vpcConfig(`value`: CustomModelVpcConfigArgs?) {
val toBeMapped = value
val mapped = toBeMapped?.let({ args0 -> of(args0) })
this.vpcConfig = mapped
}
/**
* @param argument Configuration parameters for the private Virtual Private Cloud (VPC) that contains the resources you are using for this job.
*/
@JvmName("sghndxgmibfxdyqw")
public suspend fun vpcConfig(argument: suspend CustomModelVpcConfigArgsBuilder.() -> Unit) {
val toBeMapped = CustomModelVpcConfigArgsBuilder().applySuspend { argument() }.build()
val mapped = of(toBeMapped)
this.vpcConfig = mapped
}
internal fun build(): CustomModelArgs = CustomModelArgs(
baseModelIdentifier = baseModelIdentifier,
customModelKmsKeyId = customModelKmsKeyId,
customModelName = customModelName,
customizationType = customizationType,
hyperparameters = hyperparameters,
jobName = jobName,
outputDataConfig = outputDataConfig,
roleArn = roleArn,
tags = tags,
timeouts = timeouts,
trainingDataConfig = trainingDataConfig,
validationDataConfig = validationDataConfig,
vpcConfig = vpcConfig,
)
}
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