capo-workspaces-instances: typed, async Python SDK for AWS Workspaces Instances
capo-workspaces-instances is a typed Python SDK for AWS Workspaces Instances. It has an async client, AsyncWorkspacesInstancesClient, for asyncio and trio, and a sync client, WorkspacesInstancesClient, 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/workspaces-instances/
Installation
pip install capo-workspaces-instances
Usage
from capo_workspaces_instances import AsyncWorkspacesInstancesClient
async def main():
async with AsyncWorkspacesInstancesClient() as workspaces_instances:
# Example: call the associate_volume operation
response = await workspaces_instances.associate_volume()
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_workspaces_instances import AsyncWorkspacesInstancesClient
async def main():
async with AsyncWorkspacesInstancesClient() as workspaces_instances:
# Example: paginate over list_instance_types
async for item in workspaces_instances.iter_list_instance_types():
print(item)
Error Handling
The SDK raises exceptions for errors returned by the API. Catch them to handle failures gracefully.
from capo_workspaces_instances import AsyncWorkspacesInstancesClient
from capo_workspaces_instances.error import AccessDeniedException
async def main():
async with AsyncWorkspacesInstancesClient() as workspaces_instances:
try:
await workspaces_instances.associate_volume()
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_workspaces_instances import AsyncWorkspacesInstancesClient
async def main():
async with AsyncWorkspacesInstancesClient() as workspaces_instances:
# Default: 3 attempts for every operation
response = await workspaces_instances.associate_volume()
# Override per operation
response = await workspaces_instances.associate_volume(config_overrides={"retry_max_attempts": 5})
# Disable retries for this call
response = await workspaces_instances.associate_volume(config_overrides={"retry_max_attempts": 1})
Metadata
Release files for capo-workspaces-instances 0.8.0
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Total release size: 281.2 kB
Release files / capo_workspaces_instances-0.8.0.tar.gz
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