CreateCustomModelDeploymentRequest ¶

class CreateCustomModelDeploymentRequest(TypedDict, closed=True):
    model_deployment_name: (
        "capo_bedrock.types.model_deployment_name.ModelDeploymentName"
    )
    """<p>The name for the custom model deployment. The name must be unique within your Amazon Web Services account and Region.</p>"""
    model_arn: "capo_bedrock.types.custom_model_arn.CustomModelArn"
    """<p>The Amazon Resource Name (ARN) of the custom model to deploy for on-demand inference. The custom model must be in the <code>Active</code> state.</p>"""
    description: NotRequired[
        "capo_bedrock.types.custom_model_deployment_description.CustomModelDeploymentDescription"
    ]
    """<p>A description for the custom model deployment to help you identify its purpose.</p>"""
    tags: NotRequired["capo_bedrock.types.tag_list.TagList"]
    """<p>Tags to assign to the custom model deployment. You can use tags to organize and track your Amazon Web Services resources for cost allocation and management purposes.</p>"""
    client_request_token: NotRequired[
        "capo_bedrock.types.idempotency_token.IdempotencyToken"
    ]
    """<p>A unique, case-sensitive identifier to ensure that the operation completes no more than one time. If this token matches a previous request, Amazon Bedrock ignores the request, but does not return an error. For more information, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/model-customization-idempotency.html">Ensuring idempotency</a>.</p>"""