Skip to content

tag_resource

tag_resource(
    resource_arn: TaggableResourcesArn,
    tags: TagList,
    *,
    config_overrides: Optional[BedrockClientConfig] = None,
) -> TagResourceResponse

Associate tags with a resource. For more information, see Tagging resources in the Amazon Bedrock User Guide.

Parameters:

  • resource_arn (TaggableResourcesArn) –

    The Amazon Resource Name (ARN) of the resource to tag.

  • tags (TagList) –

    Tags to associate with the resource.

Raises:

  • AccessDeniedException –

    The request is denied because of missing access permissions.

  • InternalServerException –

    An internal server error occurred. Retry your request.

  • ResourceNotFoundException –

    The specified resource Amazon Resource Name (ARN) was not found. Check the Amazon Resource Name (ARN) and try your request again.

  • ThrottlingException –

    The number of requests exceeds the limit. Resubmit your request later.

  • TooManyTagsException –

    The request contains more tags than can be associated with a resource (50 tags per resource). The maximum number of tags includes both existing tags and those included in your current request.

  • ValidationException –

    Input validation failed. Check your request parameters and retry the request.

  • UnknownServiceError –

    The service returned an error code this client does not model.

Source code in docs_src/capo_bedrock/_services/bedrock.py
def tag_resource(
    self,
    resource_arn: "capo_bedrock.types.taggable_resources_arn.TaggableResourcesArn",
    tags: "capo_bedrock.types.tag_list.TagList",
    *,
    config_overrides: Optional[BedrockClientConfig] = None,
) -> "capo_bedrock.types.tag_resource_response.TagResourceResponse":
    """<p>Associate tags with a resource. For more information, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/what-is-service.html">Tagging resources</a> in the <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/what-is-service.html">Amazon Bedrock User Guide</a>.</p>

    Args:
        resource_arn: <p>The Amazon Resource Name (ARN) of the resource to tag.</p>
        tags: <p>Tags to associate with the resource.</p>

    Raises:
        capo_bedrock.errors.access_denied_exception.AccessDeniedException: <p>The request is denied because of missing access permissions.</p>
        capo_bedrock.errors.internal_server_exception.InternalServerException: <p>An internal server error occurred. Retry your request.</p>
        capo_bedrock.errors.resource_not_found_exception.ResourceNotFoundException: <p>The specified resource Amazon Resource Name (ARN) was not found. Check the Amazon Resource Name (ARN) and try your request again.</p>
        capo_bedrock.errors.throttling_exception.ThrottlingException: <p>The number of requests exceeds the limit. Resubmit your request later.</p>
        capo_bedrock.errors.too_many_tags_exception.TooManyTagsException: <p>The request contains more tags than can be associated with a resource (50 tags per resource). The maximum number of tags includes both existing tags and those included in your current request. </p>
        capo_bedrock.errors.validation_exception.ValidationException: <p>Input validation failed. Check your request parameters and retry the request.</p>
        capo_bedrock.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_bedrock.types.tag_resource_request.TagResourceRequest]",
    ) -> OperationResponse[
        "capo_bedrock.types.tag_resource_response.TagResourceResponse"
    ]:
        import capo_bedrock._operations.amazon_bedrock_control_plane_service.tag_resource

        output, http_response = (
            capo_bedrock._operations.amazon_bedrock_control_plane_service.tag_resource.tag_resource(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("TagResource")
    )
    input_: capo_bedrock.types.tag_resource_request.TagResourceRequest = {
        "resource_arn": resource_arn,
        "tags": tags,
    }

    response = execute_pipeline(
        OperationRequest(input=input_, options=options_),
        handler=_handler,
        interceptors=list(interceptors_),
    )
    response.response.close()
    return response.output