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AWS v6.72.0 published on Tuesday, Mar 11, 2025 by Pulumi
pulumi/pulumi-aws

aws.bedrock.InferenceProfile

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AWS v6.72.0 published on Tuesday, Mar 11, 2025 by Pulumi
pulumi/pulumi-aws

    Resource for managing an AWS Bedrock Inference Profile.

    Example Usage

    Basic Usage

    import * as pulumi from "@pulumi/pulumi";
import * as aws from "@pulumi/aws";

const current = aws.getCallerIdentity({});
const example = new aws.bedrock.InferenceProfile("example", {
    name: "Claude Sonnet for Project 123",
    description: "Profile with tag for cost allocation tracking",
    modelSource: {
        copyFrom: "arn:aws:bedrock:us-west-2::foundation-model/anthropic.claude-3-5-sonnet-20241022-v2:0",
    },
    tags: {
        ProjectID: "123",
    },
});

    import pulumi
import pulumi_aws as aws

current = aws.get_caller_identity()
example = aws.bedrock.InferenceProfile("example",
    name="Claude Sonnet for Project 123",
    description="Profile with tag for cost allocation tracking",
    model_source={
        "copy_from": "arn:aws:bedrock:us-west-2::foundation-model/anthropic.claude-3-5-sonnet-20241022-v2:0",
    },
    tags={
        "ProjectID": "123",
    })

    package main

import (
	"github.com/pulumi/pulumi-aws/sdk/v6/go/aws"
	"github.com/pulumi/pulumi-aws/sdk/v6/go/aws/bedrock"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		_, err := aws.GetCallerIdentity(ctx, &aws.GetCallerIdentityArgs{}, nil)
		if err != nil {
			return err
		}
		_, err = bedrock.NewInferenceProfile(ctx, "example", &bedrock.InferenceProfileArgs{
			Name:        pulumi.String("Claude Sonnet for Project 123"),
			Description: pulumi.String("Profile with tag for cost allocation tracking"),
			ModelSource: &bedrock.InferenceProfileModelSourceArgs{
				CopyFrom: pulumi.String("arn:aws:bedrock:us-west-2::foundation-model/anthropic.claude-3-5-sonnet-20241022-v2:0"),
			},
			Tags: pulumi.StringMap{
				"ProjectID": pulumi.String("123"),
			},
		})
		if err != nil {
			return err
		}
		return nil
	})
}

    using System.Collections.Generic;
using System.Linq;
using Pulumi;
using Aws = Pulumi.Aws;

return await Deployment.RunAsync(() => 
{
    var current = Aws.GetCallerIdentity.Invoke();

    var example = new Aws.Bedrock.InferenceProfile("example", new()
    {
        Name = "Claude Sonnet for Project 123",
        Description = "Profile with tag for cost allocation tracking",
        ModelSource = new Aws.Bedrock.Inputs.InferenceProfileModelSourceArgs
        {
            CopyFrom = "arn:aws:bedrock:us-west-2::foundation-model/anthropic.claude-3-5-sonnet-20241022-v2:0",
        },
        Tags = 
        {
            { "ProjectID", "123" },
        },
    });

});

    package generated_program;

import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.aws.AwsFunctions;
import com.pulumi.aws.inputs.GetCallerIdentityArgs;
import com.pulumi.aws.bedrock.InferenceProfile;
import com.pulumi.aws.bedrock.InferenceProfileArgs;
import com.pulumi.aws.bedrock.inputs.InferenceProfileModelSourceArgs;
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 current = AwsFunctions.getCallerIdentity();

        var example = new InferenceProfile("example", InferenceProfileArgs.builder()
            .name("Claude Sonnet for Project 123")
            .description("Profile with tag for cost allocation tracking")
            .modelSource(InferenceProfileModelSourceArgs.builder()
                .copyFrom("arn:aws:bedrock:us-west-2::foundation-model/anthropic.claude-3-5-sonnet-20241022-v2:0")
                .build())
            .tags(Map.of("ProjectID", "123"))
            .build());

    }
}

    resources:
  example:
    type: aws:bedrock:InferenceProfile
    properties:
      name: Claude Sonnet for Project 123
      description: Profile with tag for cost allocation tracking
      modelSource:
        copyFrom: arn:aws:bedrock:us-west-2::foundation-model/anthropic.claude-3-5-sonnet-20241022-v2:0
      tags:
        ProjectID: '123'
variables:
  current:
    fn::invoke:
      function: aws:getCallerIdentity
      arguments: {}

    Create InferenceProfile Resource

    Resources are created with functions called constructors. To learn more about declaring and configuring resources, see Resources.

    Constructor syntax

    new InferenceProfile(name: string, args?: InferenceProfileArgs, opts?: CustomResourceOptions);
    @overload
def InferenceProfile(resource_name: str,
                     args: Optional[InferenceProfileArgs] = None,
                     opts: Optional[ResourceOptions] = None)

@overload
def InferenceProfile(resource_name: str,
                     opts: Optional[ResourceOptions] = None,
                     description: Optional[str] = None,
                     model_source: Optional[InferenceProfileModelSourceArgs] = None,
                     name: Optional[str] = None,
                     tags: Optional[Mapping[str, str]] = None,
                     timeouts: Optional[InferenceProfileTimeoutsArgs] = None)
    func NewInferenceProfile(ctx *Context, name string, args *InferenceProfileArgs, opts ...ResourceOption) (*InferenceProfile, error)
    public InferenceProfile(string name, InferenceProfileArgs? args = null, CustomResourceOptions? opts = null)
    public InferenceProfile(String name, InferenceProfileArgs args)
public InferenceProfile(String name, InferenceProfileArgs args, CustomResourceOptions options)

    type: aws:bedrock:InferenceProfile
properties: # The arguments to resource properties.
options: # Bag of options to control resource's behavior.

    Parameters

    name string
    The unique name of the resource.
    args InferenceProfileArgs
    The arguments to resource properties.
    opts CustomResourceOptions
    Bag of options to control resource's behavior.
    resource_name str
    The unique name of the resource.
    args InferenceProfileArgs
    The arguments to resource properties.
    opts ResourceOptions
    Bag of options to control resource's behavior.
    ctx Context
    Context object for the current deployment.
    name string
    The unique name of the resource.
    args InferenceProfileArgs
    The arguments to resource properties.
    opts ResourceOption
    Bag of options to control resource's behavior.
    name string
    The unique name of the resource.
    args InferenceProfileArgs
    The arguments to resource properties.
    opts CustomResourceOptions
    Bag of options to control resource's behavior.
    name String
    The unique name of the resource.
    args InferenceProfileArgs
    The arguments to resource properties.
    options CustomResourceOptions
    Bag of options to control resource's behavior.

    Constructor example

    The following reference example uses placeholder values for all input properties.

    var inferenceProfileResource = new Aws.Bedrock.InferenceProfile("inferenceProfileResource", new()
{
    Description = "string",
    ModelSource = new Aws.Bedrock.Inputs.InferenceProfileModelSourceArgs
    {
        CopyFrom = "string",
    },
    Name = "string",
    Tags = 
    {
        { "string", "string" },
    },
    Timeouts = new Aws.Bedrock.Inputs.InferenceProfileTimeoutsArgs
    {
        Create = "string",
        Delete = "string",
        Update = "string",
    },
});

    example, err := bedrock.NewInferenceProfile(ctx, "inferenceProfileResource", &bedrock.InferenceProfileArgs{
	Description: pulumi.String("string"),
	ModelSource: &bedrock.InferenceProfileModelSourceArgs{
		CopyFrom: pulumi.String("string"),
	},
	Name: pulumi.String("string"),
	Tags: pulumi.StringMap{
		"string": pulumi.String("string"),
	},
	Timeouts: &bedrock.InferenceProfileTimeoutsArgs{
		Create: pulumi.String("string"),
		Delete: pulumi.String("string"),
		Update: pulumi.String("string"),
	},
})

    var inferenceProfileResource = new InferenceProfile("inferenceProfileResource", InferenceProfileArgs.builder()
    .description("string")
    .modelSource(InferenceProfileModelSourceArgs.builder()
        .copyFrom("string")
        .build())
    .name("string")
    .tags(Map.of("string", "string"))
    .timeouts(InferenceProfileTimeoutsArgs.builder()
        .create("string")
        .delete("string")
        .update("string")
        .build())
    .build());

    inference_profile_resource = aws.bedrock.InferenceProfile("inferenceProfileResource",
    description="string",
    model_source={
        "copy_from": "string",
    },
    name="string",
    tags={
        "string": "string",
    },
    timeouts={
        "create": "string",
        "delete": "string",
        "update": "string",
    })

    const inferenceProfileResource = new aws.bedrock.InferenceProfile("inferenceProfileResource", {
    description: "string",
    modelSource: {
        copyFrom: "string",
    },
    name: "string",
    tags: {
        string: "string",
    },
    timeouts: {
        create: "string",
        "delete": "string",
        update: "string",
    },
});

    type: aws:bedrock:InferenceProfile
properties:
    description: string
    modelSource:
        copyFrom: string
    name: string
    tags:
        string: string
    timeouts:
        create: string
        delete: string
        update: string

    InferenceProfile Resource Properties

    To learn more about resource properties and how to use them, see Inputs and Outputs in the Architecture and Concepts docs.

    Inputs

    In Python, inputs that are objects can be passed either as argument classes or as dictionary literals.

    The InferenceProfile resource accepts the following input properties:

    Description string
    The description of the inference profile.
    ModelSource InferenceProfileModelSource

    The source of the model this inference profile will track metrics and cost for. See model_source.

    The following arguments are optional:

    Name string
    The name of the inference profile.
    Tags Dictionary<string, string>
    Key-value mapping of resource tags for the inference profile.
    Timeouts InferenceProfileTimeouts
    Description string
    The description of the inference profile.
    ModelSource InferenceProfileModelSourceArgs

    The source of the model this inference profile will track metrics and cost for. See model_source.

    The following arguments are optional:

    Name string
    The name of the inference profile.
    Tags map[string]string
    Key-value mapping of resource tags for the inference profile.
    Timeouts InferenceProfileTimeoutsArgs
    description String
    The description of the inference profile.
    modelSource InferenceProfileModelSource

    The source of the model this inference profile will track metrics and cost for. See model_source.

    The following arguments are optional:

    name String
    The name of the inference profile.
    tags Map<String,String>
    Key-value mapping of resource tags for the inference profile.
    timeouts InferenceProfileTimeouts
    description string
    The description of the inference profile.
    modelSource InferenceProfileModelSource

    The source of the model this inference profile will track metrics and cost for. See model_source.

    The following arguments are optional:

    name string
    The name of the inference profile.
    tags {[key: string]: string}
    Key-value mapping of resource tags for the inference profile.
    timeouts InferenceProfileTimeouts
    description str
    The description of the inference profile.
    model_source InferenceProfileModelSourceArgs

    The source of the model this inference profile will track metrics and cost for. See model_source.

    The following arguments are optional:

    name str
    The name of the inference profile.
    tags Mapping[str, str]
    Key-value mapping of resource tags for the inference profile.
    timeouts InferenceProfileTimeoutsArgs
    description String
    The description of the inference profile.
    modelSource Property Map

    The source of the model this inference profile will track metrics and cost for. See model_source.

    The following arguments are optional:

    name String
    The name of the inference profile.
    tags Map<String>
    Key-value mapping of resource tags for the inference profile.
    timeouts Property Map

    Outputs

    All input properties are implicitly available as output properties. Additionally, the InferenceProfile resource produces the following output properties:

    Arn string
    The Amazon Resource Name (ARN) of the inference profile.
    CreatedAt string
    The time at which the inference profile was created.
    Id string
    The provider-assigned unique ID for this managed resource.
    Models List<InferenceProfileModel>
    A list of information about each model in the inference profile. See models.
    Status string
    The status of the inference profile. ACTIVE means that the inference profile is available to use.
    TagsAll Dictionary<string, string>

    Deprecated: Please use tags instead.

    Type string
    The type of the inference profile. SYSTEM_DEFINED means that the inference profile is defined by Amazon Bedrock. APPLICATION means that the inference profile is defined by the user.
    UpdatedAt string
    The time at which the inference profile was last updated.
    Arn string
    The Amazon Resource Name (ARN) of the inference profile.
    CreatedAt string
    The time at which the inference profile was created.
    Id string
    The provider-assigned unique ID for this managed resource.
    Models []InferenceProfileModel
    A list of information about each model in the inference profile. See models.
    Status string
    The status of the inference profile. ACTIVE means that the inference profile is available to use.
    TagsAll map[string]string

    Deprecated: Please use tags instead.

    Type string
    The type of the inference profile. SYSTEM_DEFINED means that the inference profile is defined by Amazon Bedrock. APPLICATION means that the inference profile is defined by the user.
    UpdatedAt string
    The time at which the inference profile was last updated.
    arn String
    The Amazon Resource Name (ARN) of the inference profile.
    createdAt String
    The time at which the inference profile was created.
    id String
    The provider-assigned unique ID for this managed resource.
    models List<InferenceProfileModel>
    A list of information about each model in the inference profile. See models.
    status String
    The status of the inference profile. ACTIVE means that the inference profile is available to use.
    tagsAll Map<String,String>

    Deprecated: Please use tags instead.

    type String
    The type of the inference profile. SYSTEM_DEFINED means that the inference profile is defined by Amazon Bedrock. APPLICATION means that the inference profile is defined by the user.
    updatedAt String
    The time at which the inference profile was last updated.
    arn string
    The Amazon Resource Name (ARN) of the inference profile.
    createdAt string
    The time at which the inference profile was created.
    id string
    The provider-assigned unique ID for this managed resource.
    models InferenceProfileModel[]
    A list of information about each model in the inference profile. See models.
    status string
    The status of the inference profile. ACTIVE means that the inference profile is available to use.
    tagsAll {[key: string]: string}

    Deprecated: Please use tags instead.

    type string
    The type of the inference profile. SYSTEM_DEFINED means that the inference profile is defined by Amazon Bedrock. APPLICATION means that the inference profile is defined by the user.
    updatedAt string
    The time at which the inference profile was last updated.
    arn str
    The Amazon Resource Name (ARN) of the inference profile.
    created_at str
    The time at which the inference profile was created.
    id str
    The provider-assigned unique ID for this managed resource.
    models Sequence[InferenceProfileModel]
    A list of information about each model in the inference profile. See models.
    status str
    The status of the inference profile. ACTIVE means that the inference profile is available to use.
    tags_all Mapping[str, str]

    Deprecated: Please use tags instead.

    type str
    The type of the inference profile. SYSTEM_DEFINED means that the inference profile is defined by Amazon Bedrock. APPLICATION means that the inference profile is defined by the user.
    updated_at str
    The time at which the inference profile was last updated.
    arn String
    The Amazon Resource Name (ARN) of the inference profile.
    createdAt String
    The time at which the inference profile was created.
    id String
    The provider-assigned unique ID for this managed resource.
    models List<Property Map>
    A list of information about each model in the inference profile. See models.
    status String
    The status of the inference profile. ACTIVE means that the inference profile is available to use.
    tagsAll Map<String>

    Deprecated: Please use tags instead.

    type String
    The type of the inference profile. SYSTEM_DEFINED means that the inference profile is defined by Amazon Bedrock. APPLICATION means that the inference profile is defined by the user.
    updatedAt String
    The time at which the inference profile was last updated.

    Look up Existing InferenceProfile Resource

    Get an existing InferenceProfile resource’s state with the given name, ID, and optional extra properties used to qualify the lookup.

    public static get(name: string, id: Input<ID>, state?: InferenceProfileState, opts?: CustomResourceOptions): InferenceProfile
    @staticmethod
def get(resource_name: str,
        id: str,
        opts: Optional[ResourceOptions] = None,
        arn: Optional[str] = None,
        created_at: Optional[str] = None,
        description: Optional[str] = None,
        model_source: Optional[InferenceProfileModelSourceArgs] = None,
        models: Optional[Sequence[InferenceProfileModelArgs]] = None,
        name: Optional[str] = None,
        status: Optional[str] = None,
        tags: Optional[Mapping[str, str]] = None,
        tags_all: Optional[Mapping[str, str]] = None,
        timeouts: Optional[InferenceProfileTimeoutsArgs] = None,
        type: Optional[str] = None,
        updated_at: Optional[str] = None) -> InferenceProfile
    func GetInferenceProfile(ctx *Context, name string, id IDInput, state *InferenceProfileState, opts ...ResourceOption) (*InferenceProfile, error)
    public static InferenceProfile Get(string name, Input<string> id, InferenceProfileState? state, CustomResourceOptions? opts = null)
    public static InferenceProfile get(String name, Output<String> id, InferenceProfileState state, CustomResourceOptions options)
    resources:  _:    type: aws:bedrock:InferenceProfile    get:      id: ${id}
    name
    The unique name of the resulting resource.
    id
    The unique provider ID of the resource to lookup.
    state
    Any extra arguments used during the lookup.
    opts
    A bag of options that control this resource's behavior.
    resource_name
    The unique name of the resulting resource.
    id
    The unique provider ID of the resource to lookup.
    name
    The unique name of the resulting resource.
    id
    The unique provider ID of the resource to lookup.
    state
    Any extra arguments used during the lookup.
    opts
    A bag of options that control this resource's behavior.
    name
    The unique name of the resulting resource.
    id
    The unique provider ID of the resource to lookup.
    state
    Any extra arguments used during the lookup.
    opts
    A bag of options that control this resource's behavior.
    name
    The unique name of the resulting resource.
    id
    The unique provider ID of the resource to lookup.
    state
    Any extra arguments used during the lookup.
    opts
    A bag of options that control this resource's behavior.
    The following state arguments are supported:
    Arn string
    The Amazon Resource Name (ARN) of the inference profile.
    CreatedAt string
    The time at which the inference profile was created.
    Description string
    The description of the inference profile.
    ModelSource InferenceProfileModelSource

    The source of the model this inference profile will track metrics and cost for. See model_source.

    The following arguments are optional:

    Models List<InferenceProfileModel>
    A list of information about each model in the inference profile. See models.
    Name string
    The name of the inference profile.
    Status string
    The status of the inference profile. ACTIVE means that the inference profile is available to use.
    Tags Dictionary<string, string>
    Key-value mapping of resource tags for the inference profile.
    TagsAll Dictionary<string, string>

    Deprecated: Please use tags instead.

    Timeouts InferenceProfileTimeouts
    Type string
    The type of the inference profile. SYSTEM_DEFINED means that the inference profile is defined by Amazon Bedrock. APPLICATION means that the inference profile is defined by the user.
    UpdatedAt string
    The time at which the inference profile was last updated.
    Arn string
    The Amazon Resource Name (ARN) of the inference profile.
    CreatedAt string
    The time at which the inference profile was created.
    Description string
    The description of the inference profile.
    ModelSource InferenceProfileModelSourceArgs

    The source of the model this inference profile will track metrics and cost for. See model_source.

    The following arguments are optional:

    Models []InferenceProfileModelArgs
    A list of information about each model in the inference profile. See models.
    Name string
    The name of the inference profile.
    Status string
    The status of the inference profile. ACTIVE means that the inference profile is available to use.
    Tags map[string]string
    Key-value mapping of resource tags for the inference profile.
    TagsAll map[string]string

    Deprecated: Please use tags instead.

    Timeouts InferenceProfileTimeoutsArgs
    Type string
    The type of the inference profile. SYSTEM_DEFINED means that the inference profile is defined by Amazon Bedrock. APPLICATION means that the inference profile is defined by the user.
    UpdatedAt string
    The time at which the inference profile was last updated.
    arn String
    The Amazon Resource Name (ARN) of the inference profile.
    createdAt String
    The time at which the inference profile was created.
    description String
    The description of the inference profile.
    modelSource InferenceProfileModelSource

    The source of the model this inference profile will track metrics and cost for. See model_source.

    The following arguments are optional:

    models List<InferenceProfileModel>
    A list of information about each model in the inference profile. See models.
    name String
    The name of the inference profile.
    status String
    The status of the inference profile. ACTIVE means that the inference profile is available to use.
    tags Map<String,String>
    Key-value mapping of resource tags for the inference profile.
    tagsAll Map<String,String>

    Deprecated: Please use tags instead.

    timeouts InferenceProfileTimeouts
    type String
    The type of the inference profile. SYSTEM_DEFINED means that the inference profile is defined by Amazon Bedrock. APPLICATION means that the inference profile is defined by the user.
    updatedAt String
    The time at which the inference profile was last updated.
    arn string
    The Amazon Resource Name (ARN) of the inference profile.
    createdAt string
    The time at which the inference profile was created.
    description string
    The description of the inference profile.
    modelSource InferenceProfileModelSource

    The source of the model this inference profile will track metrics and cost for. See model_source.

    The following arguments are optional:

    models InferenceProfileModel[]
    A list of information about each model in the inference profile. See models.
    name string
    The name of the inference profile.
    status string
    The status of the inference profile. ACTIVE means that the inference profile is available to use.
    tags {[key: string]: string}
    Key-value mapping of resource tags for the inference profile.
    tagsAll {[key: string]: string}

    Deprecated: Please use tags instead.

    timeouts InferenceProfileTimeouts
    type string
    The type of the inference profile. SYSTEM_DEFINED means that the inference profile is defined by Amazon Bedrock. APPLICATION means that the inference profile is defined by the user.
    updatedAt string
    The time at which the inference profile was last updated.
    arn str
    The Amazon Resource Name (ARN) of the inference profile.
    created_at str
    The time at which the inference profile was created.
    description str
    The description of the inference profile.
    model_source InferenceProfileModelSourceArgs

    The source of the model this inference profile will track metrics and cost for. See model_source.

    The following arguments are optional:

    models Sequence[InferenceProfileModelArgs]
    A list of information about each model in the inference profile. See models.
    name str
    The name of the inference profile.
    status str
    The status of the inference profile. ACTIVE means that the inference profile is available to use.
    tags Mapping[str, str]
    Key-value mapping of resource tags for the inference profile.
    tags_all Mapping[str, str]

    Deprecated: Please use tags instead.

    timeouts InferenceProfileTimeoutsArgs
    type str
    The type of the inference profile. SYSTEM_DEFINED means that the inference profile is defined by Amazon Bedrock. APPLICATION means that the inference profile is defined by the user.
    updated_at str
    The time at which the inference profile was last updated.
    arn String
    The Amazon Resource Name (ARN) of the inference profile.
    createdAt String
    The time at which the inference profile was created.
    description String
    The description of the inference profile.
    modelSource Property Map

    The source of the model this inference profile will track metrics and cost for. See model_source.

    The following arguments are optional:

    models List<Property Map>
    A list of information about each model in the inference profile. See models.
    name String
    The name of the inference profile.
    status String
    The status of the inference profile. ACTIVE means that the inference profile is available to use.
    tags Map<String>
    Key-value mapping of resource tags for the inference profile.
    tagsAll Map<String>

    Deprecated: Please use tags instead.

    timeouts Property Map
    type String
    The type of the inference profile. SYSTEM_DEFINED means that the inference profile is defined by Amazon Bedrock. APPLICATION means that the inference profile is defined by the user.
    updatedAt String
    The time at which the inference profile was last updated.

    Supporting Types

    InferenceProfileModel, InferenceProfileModelArgs

    ModelArn string
    The Amazon Resource Name (ARN) of the model.
    ModelArn string
    The Amazon Resource Name (ARN) of the model.
    modelArn String
    The Amazon Resource Name (ARN) of the model.
    modelArn string
    The Amazon Resource Name (ARN) of the model.
    model_arn str
    The Amazon Resource Name (ARN) of the model.
    modelArn String
    The Amazon Resource Name (ARN) of the model.

    InferenceProfileModelSource, InferenceProfileModelSourceArgs

    CopyFrom string
    The Amazon Resource Name (ARN) of the model.
    CopyFrom string
    The Amazon Resource Name (ARN) of the model.
    copyFrom String
    The Amazon Resource Name (ARN) of the model.
    copyFrom string
    The Amazon Resource Name (ARN) of the model.
    copy_from str
    The Amazon Resource Name (ARN) of the model.
    copyFrom String
    The Amazon Resource Name (ARN) of the model.

    InferenceProfileTimeouts, InferenceProfileTimeoutsArgs

    Create string
    A string that can be parsed as a duration consisting of numbers and unit suffixes, such as "30s" or "2h45m". Valid time units are "s" (seconds), "m" (minutes), "h" (hours).
    Delete string
    A string that can be parsed as a duration consisting of numbers and unit suffixes, such as "30s" or "2h45m". Valid time units are "s" (seconds), "m" (minutes), "h" (hours). Setting a timeout for a Delete operation is only applicable if changes are saved into state before the destroy operation occurs.
    Update string
    A string that can be parsed as a duration consisting of numbers and unit suffixes, such as "30s" or "2h45m". Valid time units are "s" (seconds), "m" (minutes), "h" (hours).
    Create string
    A string that can be parsed as a duration consisting of numbers and unit suffixes, such as "30s" or "2h45m". Valid time units are "s" (seconds), "m" (minutes), "h" (hours).
    Delete string
    A string that can be parsed as a duration consisting of numbers and unit suffixes, such as "30s" or "2h45m". Valid time units are "s" (seconds), "m" (minutes), "h" (hours). Setting a timeout for a Delete operation is only applicable if changes are saved into state before the destroy operation occurs.
    Update string
    A string that can be parsed as a duration consisting of numbers and unit suffixes, such as "30s" or "2h45m". Valid time units are "s" (seconds), "m" (minutes), "h" (hours).
    create String
    A string that can be parsed as a duration consisting of numbers and unit suffixes, such as "30s" or "2h45m". Valid time units are "s" (seconds), "m" (minutes), "h" (hours).
    delete String
    A string that can be parsed as a duration consisting of numbers and unit suffixes, such as "30s" or "2h45m". Valid time units are "s" (seconds), "m" (minutes), "h" (hours). Setting a timeout for a Delete operation is only applicable if changes are saved into state before the destroy operation occurs.
    update String
    A string that can be parsed as a duration consisting of numbers and unit suffixes, such as "30s" or "2h45m". Valid time units are "s" (seconds), "m" (minutes), "h" (hours).
    create string
    A string that can be parsed as a duration consisting of numbers and unit suffixes, such as "30s" or "2h45m". Valid time units are "s" (seconds), "m" (minutes), "h" (hours).
    delete string
    A string that can be parsed as a duration consisting of numbers and unit suffixes, such as "30s" or "2h45m". Valid time units are "s" (seconds), "m" (minutes), "h" (hours). Setting a timeout for a Delete operation is only applicable if changes are saved into state before the destroy operation occurs.
    update string
    A string that can be parsed as a duration consisting of numbers and unit suffixes, such as "30s" or "2h45m". Valid time units are "s" (seconds), "m" (minutes), "h" (hours).
    create str
    A string that can be parsed as a duration consisting of numbers and unit suffixes, such as "30s" or "2h45m". Valid time units are "s" (seconds), "m" (minutes), "h" (hours).
    delete str
    A string that can be parsed as a duration consisting of numbers and unit suffixes, such as "30s" or "2h45m". Valid time units are "s" (seconds), "m" (minutes), "h" (hours). Setting a timeout for a Delete operation is only applicable if changes are saved into state before the destroy operation occurs.
    update str
    A string that can be parsed as a duration consisting of numbers and unit suffixes, such as "30s" or "2h45m". Valid time units are "s" (seconds), "m" (minutes), "h" (hours).
    create String
    A string that can be parsed as a duration consisting of numbers and unit suffixes, such as "30s" or "2h45m". Valid time units are "s" (seconds), "m" (minutes), "h" (hours).
    delete String
    A string that can be parsed as a duration consisting of numbers and unit suffixes, such as "30s" or "2h45m". Valid time units are "s" (seconds), "m" (minutes), "h" (hours). Setting a timeout for a Delete operation is only applicable if changes are saved into state before the destroy operation occurs.
    update String
    A string that can be parsed as a duration consisting of numbers and unit suffixes, such as "30s" or "2h45m". Valid time units are "s" (seconds), "m" (minutes), "h" (hours).

    Import

    Using pulumi import, import Bedrock Inference Profile using the example_id_arg. For example:

    $ pulumi import aws:bedrock/inferenceProfile:InferenceProfile example inference_profile-id-12345678

    To learn more about importing existing cloud resources, see Importing resources.

    Package Details

    Repository
    AWS Classic pulumi/pulumi-aws
    License
    Apache-2.0
    Notes
    This Pulumi package is based on the aws Terraform Provider.
    aws logo
    AWS v6.72.0 published on Tuesday, Mar 11, 2025 by Pulumi
    pulumi/pulumi-aws