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update_custom_model_deployment

update_custom_model_deployment(
    model_arn: CustomModelArn,
    custom_model_deployment_identifier: CustomModelDeploymentIdentifier,
    *,
    config_overrides: Optional[BedrockClientConfig] = None,
) -> UpdateCustomModelDeploymentResponse

Updates a custom model deployment with a new custom model. This allows you to deploy updated models without creating new deployment endpoints.

Parameters:

  • model_arn (CustomModelArn) –

    ARN of the new custom model to deploy. This replaces the currently deployed model.

  • custom_model_deployment_identifier (CustomModelDeploymentIdentifier) –

    Identifier of the custom model deployment to update with the new custom model.

Raises:

Source code in docs_src/capo_bedrock/_services/bedrock.py
def update_custom_model_deployment(
    self,
    model_arn: "capo_bedrock.types.custom_model_arn.CustomModelArn",
    custom_model_deployment_identifier: "capo_bedrock.types.custom_model_deployment_identifier.CustomModelDeploymentIdentifier",
    *,
    config_overrides: Optional[BedrockClientConfig] = None,
) -> "capo_bedrock.types.update_custom_model_deployment_response.UpdateCustomModelDeploymentResponse":
    """<p> Updates a custom model deployment with a new custom model. This allows you to deploy updated models without creating new deployment endpoints. </p>

    Args:
        model_arn: <p> ARN of the new custom model to deploy. This replaces the currently deployed model. </p>
        custom_model_deployment_identifier: <p> Identifier of the custom model deployment to update with the new custom model. </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.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.update_custom_model_deployment_request.UpdateCustomModelDeploymentRequest]",
    ) -> OperationResponse[
        "capo_bedrock.types.update_custom_model_deployment_response.UpdateCustomModelDeploymentResponse"
    ]:
        import capo_bedrock._operations.amazon_bedrock_control_plane_service.update_custom_model_deployment

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

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("UpdateCustomModelDeployment")
    )
    input_: capo_bedrock.types.update_custom_model_deployment_request.UpdateCustomModelDeploymentRequest = {
        "model_arn": model_arn,
        "custom_model_deployment_identifier": custom_model_deployment_identifier,
    }

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