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  4. ResourceClassifierConfiguration
Formal v1.1.0 published on Sunday, Mar 1, 2026 by Formal
Schema (JSON)
formalco/pulumi-formal

formal.ResourceClassifierConfiguration

formal logo
Formal v1.1.0 published on Sunday, Mar 1, 2026 by Formal
Schema (JSON)
formalco/pulumi-formal

    A Resource Classifier Configuration is a configuration for a resource classifier.

    Create ResourceClassifierConfiguration Resource

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

    Constructor syntax

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

@overload
def ResourceClassifierConfiguration(resource_name: str,
                                    opts: Optional[ResourceOptions] = None,
                                    ai_analysis_scope: Optional[str] = None,
                                    ai_analysis_timeout_seconds: Optional[int] = None,
                                    preference: Optional[str] = None,
                                    resource_id: Optional[str] = None,
                                    enforce_strict_classifier_result_count: Optional[bool] = None)
    func NewResourceClassifierConfiguration(ctx *Context, name string, args ResourceClassifierConfigurationArgs, opts ...ResourceOption) (*ResourceClassifierConfiguration, error)
    public ResourceClassifierConfiguration(string name, ResourceClassifierConfigurationArgs args, CustomResourceOptions? opts = null)
    public ResourceClassifierConfiguration(String name, ResourceClassifierConfigurationArgs args)
public ResourceClassifierConfiguration(String name, ResourceClassifierConfigurationArgs args, CustomResourceOptions options)

    type: formal:ResourceClassifierConfiguration
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 ResourceClassifierConfigurationArgs
    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 ResourceClassifierConfigurationArgs
    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 ResourceClassifierConfigurationArgs
    The arguments to resource properties.
    opts ResourceOption
    Bag of options to control resource's behavior.
    name string
    The unique name of the resource.
    args ResourceClassifierConfigurationArgs
    The arguments to resource properties.
    opts CustomResourceOptions
    Bag of options to control resource's behavior.
    name String
    The unique name of the resource.
    args ResourceClassifierConfigurationArgs
    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 resourceClassifierConfigurationResource = new Pulumi.ResourceClassifierConfiguration("resourceClassifierConfigurationResource", new()
{
    AiAnalysisScope = "string",
    AiAnalysisTimeoutSeconds = 0,
    Preference = "string",
    ResourceId = "string",
    EnforceStrictClassifierResultCount = false,
});

    example, err := formal.NewResourceClassifierConfiguration(ctx, "resourceClassifierConfigurationResource", &formal.ResourceClassifierConfigurationArgs{
	AiAnalysisScope:                    pulumi.String("string"),
	AiAnalysisTimeoutSeconds:           pulumi.Int(0),
	Preference:                         pulumi.String("string"),
	ResourceId:                         pulumi.String("string"),
	EnforceStrictClassifierResultCount: pulumi.Bool(false),
})

    var resourceClassifierConfigurationResource = new ResourceClassifierConfiguration("resourceClassifierConfigurationResource", ResourceClassifierConfigurationArgs.builder()
    .aiAnalysisScope("string")
    .aiAnalysisTimeoutSeconds(0)
    .preference("string")
    .resourceId("string")
    .enforceStrictClassifierResultCount(false)
    .build());

    resource_classifier_configuration_resource = formal.ResourceClassifierConfiguration("resourceClassifierConfigurationResource",
    ai_analysis_scope="string",
    ai_analysis_timeout_seconds=0,
    preference="string",
    resource_id="string",
    enforce_strict_classifier_result_count=False)

    const resourceClassifierConfigurationResource = new formal.ResourceClassifierConfiguration("resourceClassifierConfigurationResource", {
    aiAnalysisScope: "string",
    aiAnalysisTimeoutSeconds: 0,
    preference: "string",
    resourceId: "string",
    enforceStrictClassifierResultCount: false,
});

    type: formal:ResourceClassifierConfiguration
properties:
    aiAnalysisScope: string
    aiAnalysisTimeoutSeconds: 0
    enforceStrictClassifierResultCount: false
    preference: string
    resourceId: string

    ResourceClassifierConfiguration 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 ResourceClassifierConfiguration resource accepts the following input properties:

    AiAnalysisScope string
    Which direction to apply AI analysis. Required. Supported values are request or response. Use preference=none to disable AI analysis entirely.
    AiAnalysisTimeoutSeconds int
    The timeout for the AI analysis in seconds.
    Preference string
    The preference. Supported values are nlp, llm, both, and none.
    ResourceId string
    The ID of the Resource.
    EnforceStrictClassifierResultCount bool
    Whether to fail requests if the number of results from the classifier is not equal to the number of key-value pairs sent to it.
    AiAnalysisScope string
    Which direction to apply AI analysis. Required. Supported values are request or response. Use preference=none to disable AI analysis entirely.
    AiAnalysisTimeoutSeconds int
    The timeout for the AI analysis in seconds.
    Preference string
    The preference. Supported values are nlp, llm, both, and none.
    ResourceId string
    The ID of the Resource.
    EnforceStrictClassifierResultCount bool
    Whether to fail requests if the number of results from the classifier is not equal to the number of key-value pairs sent to it.
    aiAnalysisScope String
    Which direction to apply AI analysis. Required. Supported values are request or response. Use preference=none to disable AI analysis entirely.
    aiAnalysisTimeoutSeconds Integer
    The timeout for the AI analysis in seconds.
    preference String
    The preference. Supported values are nlp, llm, both, and none.
    resourceId String
    The ID of the Resource.
    enforceStrictClassifierResultCount Boolean
    Whether to fail requests if the number of results from the classifier is not equal to the number of key-value pairs sent to it.
    aiAnalysisScope string
    Which direction to apply AI analysis. Required. Supported values are request or response. Use preference=none to disable AI analysis entirely.
    aiAnalysisTimeoutSeconds number
    The timeout for the AI analysis in seconds.
    preference string
    The preference. Supported values are nlp, llm, both, and none.
    resourceId string
    The ID of the Resource.
    enforceStrictClassifierResultCount boolean
    Whether to fail requests if the number of results from the classifier is not equal to the number of key-value pairs sent to it.
    ai_analysis_scope str
    Which direction to apply AI analysis. Required. Supported values are request or response. Use preference=none to disable AI analysis entirely.
    ai_analysis_timeout_seconds int
    The timeout for the AI analysis in seconds.
    preference str
    The preference. Supported values are nlp, llm, both, and none.
    resource_id str
    The ID of the Resource.
    enforce_strict_classifier_result_count bool
    Whether to fail requests if the number of results from the classifier is not equal to the number of key-value pairs sent to it.
    aiAnalysisScope String
    Which direction to apply AI analysis. Required. Supported values are request or response. Use preference=none to disable AI analysis entirely.
    aiAnalysisTimeoutSeconds Number
    The timeout for the AI analysis in seconds.
    preference String
    The preference. Supported values are nlp, llm, both, and none.
    resourceId String
    The ID of the Resource.
    enforceStrictClassifierResultCount Boolean
    Whether to fail requests if the number of results from the classifier is not equal to the number of key-value pairs sent to it.

    Outputs

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

    CreatedAt int
    The timestamp of the Resource Classifier Preference creation.
    Id string
    The provider-assigned unique ID for this managed resource.
    UpdatedAt int
    The timestamp of the Resource Classifier Preference update.
    CreatedAt int
    The timestamp of the Resource Classifier Preference creation.
    Id string
    The provider-assigned unique ID for this managed resource.
    UpdatedAt int
    The timestamp of the Resource Classifier Preference update.
    createdAt Integer
    The timestamp of the Resource Classifier Preference creation.
    id String
    The provider-assigned unique ID for this managed resource.
    updatedAt Integer
    The timestamp of the Resource Classifier Preference update.
    createdAt number
    The timestamp of the Resource Classifier Preference creation.
    id string
    The provider-assigned unique ID for this managed resource.
    updatedAt number
    The timestamp of the Resource Classifier Preference update.
    created_at int
    The timestamp of the Resource Classifier Preference creation.
    id str
    The provider-assigned unique ID for this managed resource.
    updated_at int
    The timestamp of the Resource Classifier Preference update.
    createdAt Number
    The timestamp of the Resource Classifier Preference creation.
    id String
    The provider-assigned unique ID for this managed resource.
    updatedAt Number
    The timestamp of the Resource Classifier Preference update.

    Look up Existing ResourceClassifierConfiguration Resource

    Get an existing ResourceClassifierConfiguration 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?: ResourceClassifierConfigurationState, opts?: CustomResourceOptions): ResourceClassifierConfiguration
    @staticmethod
def get(resource_name: str,
        id: str,
        opts: Optional[ResourceOptions] = None,
        ai_analysis_scope: Optional[str] = None,
        ai_analysis_timeout_seconds: Optional[int] = None,
        created_at: Optional[int] = None,
        enforce_strict_classifier_result_count: Optional[bool] = None,
        preference: Optional[str] = None,
        resource_id: Optional[str] = None,
        updated_at: Optional[int] = None) -> ResourceClassifierConfiguration
    func GetResourceClassifierConfiguration(ctx *Context, name string, id IDInput, state *ResourceClassifierConfigurationState, opts ...ResourceOption) (*ResourceClassifierConfiguration, error)
    public static ResourceClassifierConfiguration Get(string name, Input<string> id, ResourceClassifierConfigurationState? state, CustomResourceOptions? opts = null)
    public static ResourceClassifierConfiguration get(String name, Output<String> id, ResourceClassifierConfigurationState state, CustomResourceOptions options)
    resources:  _:    type: formal:ResourceClassifierConfiguration    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:
    AiAnalysisScope string
    Which direction to apply AI analysis. Required. Supported values are request or response. Use preference=none to disable AI analysis entirely.
    AiAnalysisTimeoutSeconds int
    The timeout for the AI analysis in seconds.
    CreatedAt int
    The timestamp of the Resource Classifier Preference creation.
    EnforceStrictClassifierResultCount bool
    Whether to fail requests if the number of results from the classifier is not equal to the number of key-value pairs sent to it.
    Preference string
    The preference. Supported values are nlp, llm, both, and none.
    ResourceId string
    The ID of the Resource.
    UpdatedAt int
    The timestamp of the Resource Classifier Preference update.
    AiAnalysisScope string
    Which direction to apply AI analysis. Required. Supported values are request or response. Use preference=none to disable AI analysis entirely.
    AiAnalysisTimeoutSeconds int
    The timeout for the AI analysis in seconds.
    CreatedAt int
    The timestamp of the Resource Classifier Preference creation.
    EnforceStrictClassifierResultCount bool
    Whether to fail requests if the number of results from the classifier is not equal to the number of key-value pairs sent to it.
    Preference string
    The preference. Supported values are nlp, llm, both, and none.
    ResourceId string
    The ID of the Resource.
    UpdatedAt int
    The timestamp of the Resource Classifier Preference update.
    aiAnalysisScope String
    Which direction to apply AI analysis. Required. Supported values are request or response. Use preference=none to disable AI analysis entirely.
    aiAnalysisTimeoutSeconds Integer
    The timeout for the AI analysis in seconds.
    createdAt Integer
    The timestamp of the Resource Classifier Preference creation.
    enforceStrictClassifierResultCount Boolean
    Whether to fail requests if the number of results from the classifier is not equal to the number of key-value pairs sent to it.
    preference String
    The preference. Supported values are nlp, llm, both, and none.
    resourceId String
    The ID of the Resource.
    updatedAt Integer
    The timestamp of the Resource Classifier Preference update.
    aiAnalysisScope string
    Which direction to apply AI analysis. Required. Supported values are request or response. Use preference=none to disable AI analysis entirely.
    aiAnalysisTimeoutSeconds number
    The timeout for the AI analysis in seconds.
    createdAt number
    The timestamp of the Resource Classifier Preference creation.
    enforceStrictClassifierResultCount boolean
    Whether to fail requests if the number of results from the classifier is not equal to the number of key-value pairs sent to it.
    preference string
    The preference. Supported values are nlp, llm, both, and none.
    resourceId string
    The ID of the Resource.
    updatedAt number
    The timestamp of the Resource Classifier Preference update.
    ai_analysis_scope str
    Which direction to apply AI analysis. Required. Supported values are request or response. Use preference=none to disable AI analysis entirely.
    ai_analysis_timeout_seconds int
    The timeout for the AI analysis in seconds.
    created_at int
    The timestamp of the Resource Classifier Preference creation.
    enforce_strict_classifier_result_count bool
    Whether to fail requests if the number of results from the classifier is not equal to the number of key-value pairs sent to it.
    preference str
    The preference. Supported values are nlp, llm, both, and none.
    resource_id str
    The ID of the Resource.
    updated_at int
    The timestamp of the Resource Classifier Preference update.
    aiAnalysisScope String
    Which direction to apply AI analysis. Required. Supported values are request or response. Use preference=none to disable AI analysis entirely.
    aiAnalysisTimeoutSeconds Number
    The timeout for the AI analysis in seconds.
    createdAt Number
    The timestamp of the Resource Classifier Preference creation.
    enforceStrictClassifierResultCount Boolean
    Whether to fail requests if the number of results from the classifier is not equal to the number of key-value pairs sent to it.
    preference String
    The preference. Supported values are nlp, llm, both, and none.
    resourceId String
    The ID of the Resource.
    updatedAt Number
    The timestamp of the Resource Classifier Preference update.

    Package Details

    Repository
    formal formalco/pulumi-formal
    License
    MPL-2.0
    Notes
    This Pulumi package is based on the formal Terraform Provider.
    formal logo
    Formal v1.1.0 published on Sunday, Mar 1, 2026 by Formal
    Schema (JSON)
    formalco/pulumi-formal
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