Getting Started

Installation

pip install capo-sagemaker-metrics

Usage

from capo_sagemaker_metrics import AsyncSageMakerMetricsClient


async def main():
    async with AsyncSageMakerMetricsClient() as sage_maker_metrics:
        # Example: call the batch_get_metrics operation
        response = await sage_maker_metrics.batch_get_metrics()
        print(response["metric_query_results"])

Retrying

The SDK retries failed operations automatically. Retry behaviour follows the Smithy specification: errors are retried based on their is_retryable and is_throttling_error attributes. Throttling errors use a longer base delay. Network-level failures (connection errors and timeouts) are also retried. Non-retryable errors, such as client errors without the @retryable trait, are raised immediately without further attempts.

The number of attempts defaults to 3 and can be changed at the client level via retry_max_attempts, or per call via config_overrides.

from capo_sagemaker_metrics import AsyncSageMakerMetricsClient


async def main():
    async with AsyncSageMakerMetricsClient() as sage_maker_metrics:
        # Default: 3 attempts for every operation
        response = await sage_maker_metrics.batch_get_metrics()

        # Override per operation
        response = await sage_maker_metrics.batch_get_metrics(config_overrides={"retry_max_attempts": 5})

        # Disable retries for this call
        response = await sage_maker_metrics.batch_get_metrics(config_overrides={"retry_max_attempts": 1})