ModelservingToken

stackit v0.0.4, Feb 20 26

Viewing docs for stackit v0.0.4
published on Friday, Feb 20, 2026 by stackitcloud

Schema (JSON)

stackitcloud/pulumi-stackit

Viewing docs for stackit v0.0.4
published on Friday, Feb 20, 2026 by stackitcloud

Schema (JSON)

stackitcloud/pulumi-stackit

Example Usage

Automatically rotate AI model serving token

resource "time_rotating" "rotate" {
    rotation_days = 80
}

resource "stackit_modelserving_token" "example" {
    project_id = "xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx"
    name       = "Example token"
    
    rotate_when_changed = {
        rotation = time_rotating.rotate.id
    }

}

Create ModelservingToken Resource

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

Constructor syntax

new ModelservingToken(name: string, args: ModelservingTokenArgs, opts?: CustomResourceOptions);

@overload
def ModelservingToken(resource_name: str,
                      args: ModelservingTokenArgs,
                      opts: Optional[ResourceOptions] = None)

@overload
def ModelservingToken(resource_name: str,
                      opts: Optional[ResourceOptions] = None,
                      project_id: Optional[str] = None,
                      description: Optional[str] = None,
                      name: Optional[str] = None,
                      region: Optional[str] = None,
                      rotate_when_changed: Optional[Mapping[str, str]] = None,
                      ttl_duration: Optional[str] = None)

func NewModelservingToken(ctx *Context, name string, args ModelservingTokenArgs, opts ...ResourceOption) (*ModelservingToken, error)

public ModelservingToken(string name, ModelservingTokenArgs args, CustomResourceOptions? opts = null)

public ModelservingToken(String name, ModelservingTokenArgs args)
public ModelservingToken(String name, ModelservingTokenArgs args, CustomResourceOptions options)

type: stackit:ModelservingToken
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 ModelservingTokenArgs: 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 ModelservingTokenArgs: 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 ModelservingTokenArgs: The arguments to resource properties.
opts ResourceOption: Bag of options to control resource's behavior.

name string: The unique name of the resource.
args ModelservingTokenArgs: The arguments to resource properties.
opts CustomResourceOptions: Bag of options to control resource's behavior.

name String: The unique name of the resource.
args ModelservingTokenArgs: 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 modelservingTokenResource = new Stackit.ModelservingToken("modelservingTokenResource", new()
{
    ProjectId = "string",
    Description = "string",
    Name = "string",
    Region = "string",
    RotateWhenChanged = 
    {
        { "string", "string" },
    },
    TtlDuration = "string",
});

example, err := stackit.NewModelservingToken(ctx, "modelservingTokenResource", &stackit.ModelservingTokenArgs{
	ProjectId:   pulumi.String("string"),
	Description: pulumi.String("string"),
	Name:        pulumi.String("string"),
	Region:      pulumi.String("string"),
	RotateWhenChanged: pulumi.StringMap{
		"string": pulumi.String("string"),
	},
	TtlDuration: pulumi.String("string"),
})

var modelservingTokenResource = new ModelservingToken("modelservingTokenResource", ModelservingTokenArgs.builder()
    .projectId("string")
    .description("string")
    .name("string")
    .region("string")
    .rotateWhenChanged(Map.of("string", "string"))
    .ttlDuration("string")
    .build());

modelserving_token_resource = stackit.ModelservingToken("modelservingTokenResource",
    project_id="string",
    description="string",
    name="string",
    region="string",
    rotate_when_changed={
        "string": "string",
    },
    ttl_duration="string")

const modelservingTokenResource = new stackit.ModelservingToken("modelservingTokenResource", {
    projectId: "string",
    description: "string",
    name: "string",
    region: "string",
    rotateWhenChanged: {
        string: "string",
    },
    ttlDuration: "string",
});

type: stackit:ModelservingToken
properties:
    description: string
    name: string
    projectId: string
    region: string
    rotateWhenChanged:
        string: string
    ttlDuration: string

ModelservingToken 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 ModelservingToken resource accepts the following input properties:

ProjectId string: STACKIT project ID to which the AI model serving auth token is associated.
Description string: The description of the AI model serving auth token.
Name string: Name of the AI model serving auth token.
Region string: Region to which the AI model serving auth token is associated. If not defined, the provider region is used
RotateWhenChanged Dictionary<string, string>: A map of arbitrary key/value pairs that will force recreation of the token when they change, enabling token rotation based on external conditions such as a rotating timestamp. Changing this forces a new resource to be created.
TtlDuration string: The TTL duration of the AI model serving auth token. E.g. 5h30m40s,5h,5h30m,30m,30s

ProjectId string: STACKIT project ID to which the AI model serving auth token is associated.
Description string: The description of the AI model serving auth token.
Name string: Name of the AI model serving auth token.
Region string: Region to which the AI model serving auth token is associated. If not defined, the provider region is used
RotateWhenChanged map[string]string: A map of arbitrary key/value pairs that will force recreation of the token when they change, enabling token rotation based on external conditions such as a rotating timestamp. Changing this forces a new resource to be created.
TtlDuration string: The TTL duration of the AI model serving auth token. E.g. 5h30m40s,5h,5h30m,30m,30s

projectId String: STACKIT project ID to which the AI model serving auth token is associated.
description String: The description of the AI model serving auth token.
name String: Name of the AI model serving auth token.
region String: Region to which the AI model serving auth token is associated. If not defined, the provider region is used
rotateWhenChanged Map<String,String>: A map of arbitrary key/value pairs that will force recreation of the token when they change, enabling token rotation based on external conditions such as a rotating timestamp. Changing this forces a new resource to be created.
ttlDuration String: The TTL duration of the AI model serving auth token. E.g. 5h30m40s,5h,5h30m,30m,30s

projectId string: STACKIT project ID to which the AI model serving auth token is associated.
description string: The description of the AI model serving auth token.
name string: Name of the AI model serving auth token.
region string: Region to which the AI model serving auth token is associated. If not defined, the provider region is used
rotateWhenChanged {[key: string]: string}: A map of arbitrary key/value pairs that will force recreation of the token when they change, enabling token rotation based on external conditions such as a rotating timestamp. Changing this forces a new resource to be created.
ttlDuration string: The TTL duration of the AI model serving auth token. E.g. 5h30m40s,5h,5h30m,30m,30s

project_id str: STACKIT project ID to which the AI model serving auth token is associated.
description str: The description of the AI model serving auth token.
name str: Name of the AI model serving auth token.
region str: Region to which the AI model serving auth token is associated. If not defined, the provider region is used
rotate_when_changed Mapping[str, str]: A map of arbitrary key/value pairs that will force recreation of the token when they change, enabling token rotation based on external conditions such as a rotating timestamp. Changing this forces a new resource to be created.
ttl_duration str: The TTL duration of the AI model serving auth token. E.g. 5h30m40s,5h,5h30m,30m,30s

projectId String: STACKIT project ID to which the AI model serving auth token is associated.
description String: The description of the AI model serving auth token.
name String: Name of the AI model serving auth token.
region String: Region to which the AI model serving auth token is associated. If not defined, the provider region is used
rotateWhenChanged Map<String>: A map of arbitrary key/value pairs that will force recreation of the token when they change, enabling token rotation based on external conditions such as a rotating timestamp. Changing this forces a new resource to be created.
ttlDuration String: The TTL duration of the AI model serving auth token. E.g. 5h30m40s,5h,5h30m,30m,30s

Outputs

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

Id string: The provider-assigned unique ID for this managed resource.
State string: State of the AI model serving auth token.
Token string: Content of the AI model serving auth token.
TokenId string: The AI model serving auth token ID.
ValidUntil string: The time until the AI model serving auth token is valid.

Id string: The provider-assigned unique ID for this managed resource.
State string: State of the AI model serving auth token.
Token string: Content of the AI model serving auth token.
TokenId string: The AI model serving auth token ID.
ValidUntil string: The time until the AI model serving auth token is valid.

id String: The provider-assigned unique ID for this managed resource.
state String: State of the AI model serving auth token.
token String: Content of the AI model serving auth token.
tokenId String: The AI model serving auth token ID.
validUntil String: The time until the AI model serving auth token is valid.

id string: The provider-assigned unique ID for this managed resource.
state string: State of the AI model serving auth token.
token string: Content of the AI model serving auth token.
tokenId string: The AI model serving auth token ID.
validUntil string: The time until the AI model serving auth token is valid.

id str: The provider-assigned unique ID for this managed resource.
state str: State of the AI model serving auth token.
token str: Content of the AI model serving auth token.
token_id str: The AI model serving auth token ID.
valid_until str: The time until the AI model serving auth token is valid.

id String: The provider-assigned unique ID for this managed resource.
state String: State of the AI model serving auth token.
token String: Content of the AI model serving auth token.
tokenId String: The AI model serving auth token ID.
validUntil String: The time until the AI model serving auth token is valid.

Look up Existing ModelservingToken Resource

Get an existing ModelservingToken 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?: ModelservingTokenState, opts?: CustomResourceOptions): ModelservingToken

@staticmethod
def get(resource_name: str,
        id: str,
        opts: Optional[ResourceOptions] = None,
        description: Optional[str] = None,
        name: Optional[str] = None,
        project_id: Optional[str] = None,
        region: Optional[str] = None,
        rotate_when_changed: Optional[Mapping[str, str]] = None,
        state: Optional[str] = None,
        token: Optional[str] = None,
        token_id: Optional[str] = None,
        ttl_duration: Optional[str] = None,
        valid_until: Optional[str] = None) -> ModelservingToken

func GetModelservingToken(ctx *Context, name string, id IDInput, state *ModelservingTokenState, opts ...ResourceOption) (*ModelservingToken, error)

public static ModelservingToken Get(string name, Input<string> id, ModelservingTokenState? state, CustomResourceOptions? opts = null)

public static ModelservingToken get(String name, Output<String> id, ModelservingTokenState state, CustomResourceOptions options)

resources:  _:    type: stackit:ModelservingToken    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:

Description string: The description of the AI model serving auth token.
Name string: Name of the AI model serving auth token.
ProjectId string: STACKIT project ID to which the AI model serving auth token is associated.
Region string: Region to which the AI model serving auth token is associated. If not defined, the provider region is used
RotateWhenChanged Dictionary<string, string>: A map of arbitrary key/value pairs that will force recreation of the token when they change, enabling token rotation based on external conditions such as a rotating timestamp. Changing this forces a new resource to be created.
State string: State of the AI model serving auth token.
Token string: Content of the AI model serving auth token.
TokenId string: The AI model serving auth token ID.
TtlDuration string: The TTL duration of the AI model serving auth token. E.g. 5h30m40s,5h,5h30m,30m,30s
ValidUntil string: The time until the AI model serving auth token is valid.

Description string: The description of the AI model serving auth token.
Name string: Name of the AI model serving auth token.
ProjectId string: STACKIT project ID to which the AI model serving auth token is associated.
Region string: Region to which the AI model serving auth token is associated. If not defined, the provider region is used
RotateWhenChanged map[string]string: A map of arbitrary key/value pairs that will force recreation of the token when they change, enabling token rotation based on external conditions such as a rotating timestamp. Changing this forces a new resource to be created.
State string: State of the AI model serving auth token.
Token string: Content of the AI model serving auth token.
TokenId string: The AI model serving auth token ID.
TtlDuration string: The TTL duration of the AI model serving auth token. E.g. 5h30m40s,5h,5h30m,30m,30s
ValidUntil string: The time until the AI model serving auth token is valid.

description String: The description of the AI model serving auth token.
name String: Name of the AI model serving auth token.
projectId String: STACKIT project ID to which the AI model serving auth token is associated.
region String: Region to which the AI model serving auth token is associated. If not defined, the provider region is used
rotateWhenChanged Map<String,String>: A map of arbitrary key/value pairs that will force recreation of the token when they change, enabling token rotation based on external conditions such as a rotating timestamp. Changing this forces a new resource to be created.
state String: State of the AI model serving auth token.
token String: Content of the AI model serving auth token.
tokenId String: The AI model serving auth token ID.
ttlDuration String: The TTL duration of the AI model serving auth token. E.g. 5h30m40s,5h,5h30m,30m,30s
validUntil String: The time until the AI model serving auth token is valid.

description string: The description of the AI model serving auth token.
name string: Name of the AI model serving auth token.
projectId string: STACKIT project ID to which the AI model serving auth token is associated.
region string: Region to which the AI model serving auth token is associated. If not defined, the provider region is used
rotateWhenChanged {[key: string]: string}: A map of arbitrary key/value pairs that will force recreation of the token when they change, enabling token rotation based on external conditions such as a rotating timestamp. Changing this forces a new resource to be created.
state string: State of the AI model serving auth token.
token string: Content of the AI model serving auth token.
tokenId string: The AI model serving auth token ID.
ttlDuration string: The TTL duration of the AI model serving auth token. E.g. 5h30m40s,5h,5h30m,30m,30s
validUntil string: The time until the AI model serving auth token is valid.

description str: The description of the AI model serving auth token.
name str: Name of the AI model serving auth token.
project_id str: STACKIT project ID to which the AI model serving auth token is associated.
region str: Region to which the AI model serving auth token is associated. If not defined, the provider region is used
rotate_when_changed Mapping[str, str]: A map of arbitrary key/value pairs that will force recreation of the token when they change, enabling token rotation based on external conditions such as a rotating timestamp. Changing this forces a new resource to be created.
state str: State of the AI model serving auth token.
token str: Content of the AI model serving auth token.
token_id str: The AI model serving auth token ID.
ttl_duration str: The TTL duration of the AI model serving auth token. E.g. 5h30m40s,5h,5h30m,30m,30s
valid_until str: The time until the AI model serving auth token is valid.

description String: The description of the AI model serving auth token.
name String: Name of the AI model serving auth token.
projectId String: STACKIT project ID to which the AI model serving auth token is associated.
region String: Region to which the AI model serving auth token is associated. If not defined, the provider region is used
rotateWhenChanged Map<String>: A map of arbitrary key/value pairs that will force recreation of the token when they change, enabling token rotation based on external conditions such as a rotating timestamp. Changing this forces a new resource to be created.
state String: State of the AI model serving auth token.
token String: Content of the AI model serving auth token.
tokenId String: The AI model serving auth token ID.
ttlDuration String: The TTL duration of the AI model serving auth token. E.g. 5h30m40s,5h,5h30m,30m,30s
validUntil String: The time until the AI model serving auth token is valid.

Package Details

Repository: stackit stackitcloud/pulumi-stackit
License: Apache-2.0
Notes: This Pulumi package is based on the stackit Terraform Provider.

Viewing docs for stackit v0.0.4
published on Friday, Feb 20, 2026 by stackitcloud

Schema (JSON)

stackitcloud/pulumi-stackit

stackit.ModelservingToken

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Example Usage

Automatically rotate AI model serving token

Create ModelservingToken Resource

Constructor syntax

Parameters

Constructor example

ModelservingToken Resource Properties

Inputs

Outputs

Look up Existing ModelservingToken Resource

Package Details

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