We recommend new projects start with resources from the AWS provider.
Viewing docs for AWS Cloud Control v1.82.0
published on Monday, Oct 5, 2026 by Pulumi
published on Monday, Oct 5, 2026 by Pulumi
We recommend new projects start with resources from the AWS provider.
Viewing docs for AWS Cloud Control v1.82.0
published on Monday, Oct 5, 2026 by Pulumi
published on Monday, Oct 5, 2026 by Pulumi
An Amazon Comprehend endpoint that hosts a custom entity recognizer model for real-time inference.
Using getEntityRecognizerEndpoint
Two invocation forms are available. The direct form accepts plain arguments and either blocks until the result value is available, or returns a Promise-wrapped result. The output form accepts Input-wrapped arguments and returns an Output-wrapped result.
function getEntityRecognizerEndpoint(args: GetEntityRecognizerEndpointArgs, opts?: InvokeOptions): Promise<GetEntityRecognizerEndpointResult>
function getEntityRecognizerEndpointOutput(args: GetEntityRecognizerEndpointOutputArgs, opts?: InvokeOutputOptions): Output<GetEntityRecognizerEndpointResult>def get_entity_recognizer_endpoint(arn: Optional[str] = None,
opts: Optional[InvokeOptions] = None) -> GetEntityRecognizerEndpointResult
def get_entity_recognizer_endpoint_output(arn: pulumi.Input[Optional[str]] = None,
opts: Optional[InvokeOutputOptions] = None) -> Output[GetEntityRecognizerEndpointResult]func LookupEntityRecognizerEndpoint(ctx *Context, args *LookupEntityRecognizerEndpointArgs, opts ...InvokeOption) (*LookupEntityRecognizerEndpointResult, error)
func LookupEntityRecognizerEndpointOutput(ctx *Context, args *LookupEntityRecognizerEndpointOutputArgs, opts ...InvokeOption) LookupEntityRecognizerEndpointResultOutput> Note: This function is named LookupEntityRecognizerEndpoint in the Go SDK.
public static class GetEntityRecognizerEndpoint
{
public static Task<GetEntityRecognizerEndpointResult> InvokeAsync(GetEntityRecognizerEndpointArgs args, InvokeOptions? opts = null)
public static Output<GetEntityRecognizerEndpointResult> Invoke(GetEntityRecognizerEndpointInvokeArgs args, InvokeOptions? opts = null)
public static Output<GetEntityRecognizerEndpointResult> Invoke(GetEntityRecognizerEndpointInvokeArgs args, InvokeOutputOptions opts)
}public static CompletableFuture<GetEntityRecognizerEndpointResult> getEntityRecognizerEndpoint(GetEntityRecognizerEndpointArgs args, InvokeOptions options)
public static Output<GetEntityRecognizerEndpointResult> getEntityRecognizerEndpoint(GetEntityRecognizerEndpointArgs args, InvokeOptions options)
public static Output<GetEntityRecognizerEndpointResult> getEntityRecognizerEndpoint(GetEntityRecognizerEndpointArgs args, InvokeOutputOptions options)
fn::invoke:
function: aws-native:comprehend:getEntityRecognizerEndpoint
arguments:
# arguments dictionarydata "aws-native_comprehend_get_entity_recognizer_endpoint" "name" {
# arguments
}The following arguments are supported:
- Arn string
- The Amazon Resource Name (ARN) of the entity recognizer endpoint.
- Arn string
- The Amazon Resource Name (ARN) of the entity recognizer endpoint.
- arn string
- The Amazon Resource Name (ARN) of the entity recognizer endpoint.
- arn String
- The Amazon Resource Name (ARN) of the entity recognizer endpoint.
- arn string
- The Amazon Resource Name (ARN) of the entity recognizer endpoint.
- arn str
- The Amazon Resource Name (ARN) of the entity recognizer endpoint.
- arn String
- The Amazon Resource Name (ARN) of the entity recognizer endpoint.
getEntityRecognizerEndpoint Result
The following output properties are available:
- Arn string
- The Amazon Resource Name (ARN) of the entity recognizer endpoint.
- Creation
Time string - The creation date and time of the endpoint.
- Current
Inference intUnits - The number of inference units currently used by the model using this endpoint.
- Data
Access stringRole Arn - The Amazon Resource Name (ARN) of the IAM role that grants Amazon Comprehend read access to trained custom models encrypted with a customer managed key (ModelKmsKeyId).
- Desired
Inference intUnits - The desired number of inference units to be used by the model. Each inference unit represents throughput of 100 characters per second.
- Endpoint
Status Pulumi.Aws Native. Comprehend. Entity Recognizer Endpoint Endpoint Status - The current status of the endpoint. Because the endpoint updates and creation are asynchronous, wait for the endpoint to be IN_SERVICE before making inference requests.
- Last
Modified stringTime - The date and time that the endpoint was last modified.
- Model
Arn string - The Amazon Resource Name (ARN) of the entity recognizer model to which the endpoint is attached.
-
List<Pulumi.
Aws Native. Outputs. Tag> - Tags associated with the endpoint being created.
- Arn string
- The Amazon Resource Name (ARN) of the entity recognizer endpoint.
- Creation
Time string - The creation date and time of the endpoint.
- Current
Inference intUnits - The number of inference units currently used by the model using this endpoint.
- Data
Access stringRole Arn - The Amazon Resource Name (ARN) of the IAM role that grants Amazon Comprehend read access to trained custom models encrypted with a customer managed key (ModelKmsKeyId).
- Desired
Inference intUnits - The desired number of inference units to be used by the model. Each inference unit represents throughput of 100 characters per second.
- Endpoint
Status EntityRecognizer Endpoint Endpoint Status - The current status of the endpoint. Because the endpoint updates and creation are asynchronous, wait for the endpoint to be IN_SERVICE before making inference requests.
- Last
Modified stringTime - The date and time that the endpoint was last modified.
- Model
Arn string - The Amazon Resource Name (ARN) of the entity recognizer model to which the endpoint is attached.
- Tag
- Tags associated with the endpoint being created.
- arn string
- The Amazon Resource Name (ARN) of the entity recognizer endpoint.
- creation_
time string - The creation date and time of the endpoint.
- current_
inference_ numberunits - The number of inference units currently used by the model using this endpoint.
- data_
access_ stringrole_ arn - The Amazon Resource Name (ARN) of the IAM role that grants Amazon Comprehend read access to trained custom models encrypted with a customer managed key (ModelKmsKeyId).
- desired_
inference_ numberunits - The desired number of inference units to be used by the model. Each inference unit represents throughput of 100 characters per second.
- endpoint_
status "CREATING" | "DELETING" | "FAILED" | "IN_SERVICE" | "UPDATING" - The current status of the endpoint. Because the endpoint updates and creation are asynchronous, wait for the endpoint to be IN_SERVICE before making inference requests.
- last_
modified_ stringtime - The date and time that the endpoint was last modified.
- model_
arn string - The Amazon Resource Name (ARN) of the entity recognizer model to which the endpoint is attached.
- list(object)
- Tags associated with the endpoint being created.
- arn String
- The Amazon Resource Name (ARN) of the entity recognizer endpoint.
- creation
Time String - The creation date and time of the endpoint.
- current
Inference IntegerUnits - The number of inference units currently used by the model using this endpoint.
- data
Access StringRole Arn - The Amazon Resource Name (ARN) of the IAM role that grants Amazon Comprehend read access to trained custom models encrypted with a customer managed key (ModelKmsKeyId).
- desired
Inference IntegerUnits - The desired number of inference units to be used by the model. Each inference unit represents throughput of 100 characters per second.
- endpoint
Status EntityRecognizer Endpoint Endpoint Status - The current status of the endpoint. Because the endpoint updates and creation are asynchronous, wait for the endpoint to be IN_SERVICE before making inference requests.
- last
Modified StringTime - The date and time that the endpoint was last modified.
- model
Arn String - The Amazon Resource Name (ARN) of the entity recognizer model to which the endpoint is attached.
- List<Tag>
- Tags associated with the endpoint being created.
- arn string
- The Amazon Resource Name (ARN) of the entity recognizer endpoint.
- creation
Time string - The creation date and time of the endpoint.
- current
Inference numberUnits - The number of inference units currently used by the model using this endpoint.
- data
Access stringRole Arn - The Amazon Resource Name (ARN) of the IAM role that grants Amazon Comprehend read access to trained custom models encrypted with a customer managed key (ModelKmsKeyId).
- desired
Inference numberUnits - The desired number of inference units to be used by the model. Each inference unit represents throughput of 100 characters per second.
- endpoint
Status EntityRecognizer Endpoint Endpoint Status - The current status of the endpoint. Because the endpoint updates and creation are asynchronous, wait for the endpoint to be IN_SERVICE before making inference requests.
- last
Modified stringTime - The date and time that the endpoint was last modified.
- model
Arn string - The Amazon Resource Name (ARN) of the entity recognizer model to which the endpoint is attached.
- Tag[]
- Tags associated with the endpoint being created.
- arn str
- The Amazon Resource Name (ARN) of the entity recognizer endpoint.
- creation_
time str - The creation date and time of the endpoint.
- current_
inference_ intunits - The number of inference units currently used by the model using this endpoint.
- data_
access_ strrole_ arn - The Amazon Resource Name (ARN) of the IAM role that grants Amazon Comprehend read access to trained custom models encrypted with a customer managed key (ModelKmsKeyId).
- desired_
inference_ intunits - The desired number of inference units to be used by the model. Each inference unit represents throughput of 100 characters per second.
- endpoint_
status EntityRecognizer Endpoint Endpoint Status - The current status of the endpoint. Because the endpoint updates and creation are asynchronous, wait for the endpoint to be IN_SERVICE before making inference requests.
- last_
modified_ strtime - The date and time that the endpoint was last modified.
- model_
arn str - The Amazon Resource Name (ARN) of the entity recognizer model to which the endpoint is attached.
- Sequence[root_Tag]
- Tags associated with the endpoint being created.
- arn String
- The Amazon Resource Name (ARN) of the entity recognizer endpoint.
- creation
Time String - The creation date and time of the endpoint.
- current
Inference NumberUnits - The number of inference units currently used by the model using this endpoint.
- data
Access StringRole Arn - The Amazon Resource Name (ARN) of the IAM role that grants Amazon Comprehend read access to trained custom models encrypted with a customer managed key (ModelKmsKeyId).
- desired
Inference NumberUnits - The desired number of inference units to be used by the model. Each inference unit represents throughput of 100 characters per second.
- endpoint
Status "CREATING" | "DELETING" | "FAILED" | "IN_SERVICE" | "UPDATING" - The current status of the endpoint. Because the endpoint updates and creation are asynchronous, wait for the endpoint to be IN_SERVICE before making inference requests.
- last
Modified StringTime - The date and time that the endpoint was last modified.
- model
Arn String - The Amazon Resource Name (ARN) of the entity recognizer model to which the endpoint is attached.
- List<Property Map>
- Tags associated with the endpoint being created.
Supporting Types
EntityRecognizerEndpointEndpointStatus
Tag
Package Details
- Repository
- AWS Native pulumi/pulumi-aws-native
- License
- Apache-2.0
We recommend new projects start with resources from the AWS provider.
Viewing docs for AWS Cloud Control v1.82.0
published on Monday, Oct 5, 2026 by Pulumi
published on Monday, Oct 5, 2026 by Pulumi