capo-personalize: typed, async Python SDK for AWS Personalize¶

capo-personalize is a typed Python SDK for AWS Personalize. It has an async client, AsyncPersonalizeClient, for asyncio and trio, and a sync client, PersonalizeClient, 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/personalize/

Installation¶

pip install capo-personalize

Usage¶

from capo_personalize import AsyncPersonalizeClient


async def main():
    async with AsyncPersonalizeClient() as personalize:
        # Example: call the create_batch_inference_job operation
        response = await personalize.create_batch_inference_job()
        print(response["batch_inference_job_arn"])

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_personalize import AsyncPersonalizeClient


async def main():
    async with AsyncPersonalizeClient() as personalize:
        # Example: paginate over list_batch_inference_jobs
        async for item in personalize.iter_list_batch_inference_jobs():
            print(item)

Error Handling¶

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

from capo_personalize import AsyncPersonalizeClient
from capo_personalize.error import InvalidInputException


async def main():
    async with AsyncPersonalizeClient() as personalize:
        try:
            await personalize.create_batch_inference_job()
        except InvalidInputException 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_personalize import AsyncPersonalizeClient


async def main():
    async with AsyncPersonalizeClient() as personalize:
        # Default: 3 attempts for every operation
        response = await personalize.create_batch_inference_job()

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

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