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register_marketplace_model_endpoint async

register_marketplace_model_endpoint(
    endpoint_identifier: Arn,
    model_source_identifier: ModelSourceIdentifier,
    *,
    config_overrides: Optional[AsyncBedrockClientConfig] = None,
) -> RegisterMarketplaceModelEndpointResponse

Registers an existing Amazon SageMaker endpoint with Amazon Bedrock Marketplace, allowing it to be used with Amazon Bedrock APIs.

Parameters:

  • endpoint_identifier (Arn) –

    The ARN of the Amazon SageMaker endpoint you want to register with Amazon Bedrock Marketplace.

  • model_source_identifier (ModelSourceIdentifier) –

    The ARN of the model from Amazon Bedrock Marketplace that is deployed on the endpoint.

Raises:

Source code in docs_src/capo_bedrock/_services/async_bedrock.py
async def register_marketplace_model_endpoint(
    self,
    endpoint_identifier: "capo_bedrock.types.arn.Arn",
    model_source_identifier: "capo_bedrock.types.model_source_identifier.ModelSourceIdentifier",
    *,
    config_overrides: Optional[AsyncBedrockClientConfig] = None,
) -> "capo_bedrock.types.register_marketplace_model_endpoint_response.RegisterMarketplaceModelEndpointResponse":
    """<p>Registers an existing Amazon SageMaker endpoint with Amazon Bedrock Marketplace, allowing it to be used with Amazon Bedrock APIs.</p>

    Args:
        endpoint_identifier: <p>The ARN of the Amazon SageMaker endpoint you want to register with Amazon Bedrock Marketplace.</p>
        model_source_identifier: <p>The ARN of the model from Amazon Bedrock Marketplace that is deployed on the endpoint.</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.service_unavailable_exception.ServiceUnavailableException: <p>Returned if the service cannot complete the request.</p>
        capo_bedrock.errors.throttling_exception.ThrottlingException: <p>The number of requests exceeds the limit. Resubmit your request later.</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.
    """

    async def _handler(
        req: "AsyncOperationRequest[capo_bedrock.types.register_marketplace_model_endpoint_request.RegisterMarketplaceModelEndpointRequest]",
    ) -> AsyncOperationResponse[
        "capo_bedrock.types.register_marketplace_model_endpoint_response.RegisterMarketplaceModelEndpointResponse"
    ]:
        import capo_bedrock._operations.amazon_bedrock_control_plane_service.register_marketplace_model_endpoint

        (
            output,
            http_response,
        ) = await capo_bedrock._operations.amazon_bedrock_control_plane_service.register_marketplace_model_endpoint.async_register_marketplace_model_endpoint(
            req.options, req.input
        )
        return AsyncOperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("RegisterMarketplaceModelEndpoint")
    )
    input_: capo_bedrock.types.register_marketplace_model_endpoint_request.RegisterMarketplaceModelEndpointRequest = {
        "endpoint_identifier": endpoint_identifier,
        "model_source_identifier": model_source_identifier,
    }

    response = await aexecute_pipeline(
        AsyncOperationRequest(input=input_, options=options_),
        handler=_handler,
        interceptors=list(interceptors_),
    )
    await response.response.aclose()
    return response.output