capo-sagemaker-metrics: typed, async Python SDK for AWS Sagemaker Metrics¶
capo-sagemaker-metrics is a typed Python SDK for AWS Sagemaker Metrics. It has an async client, AsyncSageMakerMetricsClient, for asyncio and trio, and a sync client, SageMakerMetricsClient, with the same methods. Requests and responses are typed with TypedDicts, so your editor and type checker know every field.
It is part of capo, a community-driven alternative to boto3 and aioboto3, built on its own HTTP stack instead of botocore and generated from the official AWS Smithy models. Documentation: https://capo-sdk.dev/services/sagemaker-metrics/
Installation¶
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})