Getting Started

Installation

pip install capo-compute-optimizer

Usage

from capo_compute_optimizer import AsyncComputeOptimizerClient


async def main():
    async with AsyncComputeOptimizerClient() as compute_optimizer:
        # Example: call the delete_recommendation_preferences operation
        response = await compute_optimizer.delete_recommendation_preferences()
        print(response)

Pagination

Some operations in this SDK support pagination. If the operation supports pagination it will have an iter_ prefixed method that returns an async iterator.

from capo_compute_optimizer import AsyncComputeOptimizerClient


async def main():
    async with AsyncComputeOptimizerClient() as compute_optimizer:
        # Example: paginate over describe_recommendation_export_jobs
        async for item in compute_optimizer.iter_describe_recommendation_export_jobs():
            print(item)

Error Handling

The SDK raises exceptions for errors returned by the API. Catch them to handle failures gracefully.

from capo_compute_optimizer import AsyncComputeOptimizerClient
from capo_compute_optimizer.error import AccessDeniedException


async def main():
    async with AsyncComputeOptimizerClient() as compute_optimizer:
        try:
            await compute_optimizer.delete_recommendation_preferences()
        except AccessDeniedException as e:
            print(f"Error: {e}")
            print(e.data)  # additional error data

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_compute_optimizer import AsyncComputeOptimizerClient


async def main():
    async with AsyncComputeOptimizerClient() as compute_optimizer:
        # Default: 3 attempts for every operation
        response = await compute_optimizer.delete_recommendation_preferences()

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

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