aws comprehend create-endpoint

Creates a model-specific endpoint for synchronous inference for a previously trained custom model


--endpoint-name <string>This is the descriptive suffix that becomes part of the EndpointArn used for all subsequent requests to this resource
--model-arn <string>The Amazon Resource Number (ARN) of the model to which the endpoint will be attached
--desired-inference-units <integer>The desired number of inference units to be used by the model using this endpoint. Each inference unit represents of a throughput of 100 characters per second
--client-request-token <string>An idempotency token provided by the customer. If this token matches a previous endpoint creation request, Amazon Comprehend will not return a ResourceInUseException
--tags <list>Tags associated with the endpoint being created. A tag is a key-value pair that adds metadata to the endpoint. For example, a tag with "Sales" as the key might be added to an endpoint to indicate its use by the sales department
--data-access-role-arn <string>The Amazon Resource Name (ARN) of the AWS identity and Access Management (IAM) role that grants Amazon Comprehend read access to trained custom models encrypted with a customer managed key (ModelKmsKeyId)
--cli-input-json <string>Performs service operation based on the JSON string provided. The JSON string follows the format provided by ``--generate-cli-skeleton``. If other arguments are provided on the command line, the CLI values will override the JSON-provided values. It is not possible to pass arbitrary binary values using a JSON-provided value as the string will be taken literally
--generate-cli-skeleton <string>Prints a JSON skeleton to standard output without sending an API request. If provided with no value or the value ``input``, prints a sample input JSON that can be used as an argument for ``--cli-input-json``. If provided with the value ``output``, it validates the command inputs and returns a sample output JSON for that command