aioboto3-assume 0.1.1

Easily create aioboto3 assume role sessions with automatic credential refreshing.

aioboto3-assume

Easily create aioboto3 assume role sessions with automatic credential refreshing.

NOTE - For boto3 support, see boto3-assume.

Installation

Install with pip:

$ pip install aioboto3-assume

Tutorial

import aioboto3
from aioboto3_assume import assume_role

assume_session = assume_role(
    source_session=aioboto3.Session(), # You must pass in an aioboto3 session that automatically refreshes!
    assume_role_kwargs={
        "RoleArn": "arn:aws:iam::123412341234:role/my_role",
        "RoleSessionName": "my-role-session"
    }
)


async def main():
    # Create clients, and their credentials will auto-refresh when expired!
    async with assume_session.client("sts", region_name="us-east-1") as sts_client:
        print(await sts_client.get_caller_identity())
        # {
        #     "UserId": "EXAMPLEID", 
        #     "Account": "123412341234", 
        #     "Arn": "arn:aws:sts::123412341234:role/my_role", 
        #     "ResponseMetadata": {
        #         "RequestId": "asdfqwfqwfasdfasdfasfsdf", 
        #         "HTTPStatusCode": 200, 
        #         "HTTPHeaders": {
        #             "server": "amazon.com", 
        #             "date": "Tue, 27 Jun 2023 00:00:00 GMT"
        #         }, 
        #         "RetryAttempts": 0
        #     }
        # }

asyncio.run(main())

Under the hood an aioboto3 sts client will be created and assume_role called to get/refresh credentials.

You can pass the kwargs parameters as so:

• assume_role_kwargs - Keyword arguments to pass when calling assume_role with a boto3 STS client.
  • Must at least provide RoleArn and RoleSessionName as outlined in the boto3 docs.
• sts_client_kwargs - Kwargs to pass when creating the boto3 low level client for STS
  • By default only the service argument will be passed as "sts".
  • Note that you should not pass in the service_name or credentials here.
• target_session_kwargs - Keyword arguments to pass when creating a the new target boto3 Session
  • By default no arguments are passed.
  • Note that you should only pass in region_name or aws_account_id or other variables that will not effect credentials or credential refreshing.

A more complex example:

import aioboto3
from aioboto3_assume import assume_role
from botocore.config import Config

assume_session = assume_role(
    source_session=aioboto3.Session(), 
    assume_role_kwargs={
        "RoleArn": "arn:aws:iam::123412341234:role/my_role",
        "RoleSessionName": "my-role-session",
        "DurationSeconds": 900,
        "Tags": [
            {
                "Key": "MyKey",
                "Value": "MyValue"
            }
        ]
    },
    sts_client_kwargs={
        "config": Config(
            retries={
                "total_max_attempts": 10,
                "mode": "adaptive"
            }
        )
    },
    target_session_kwargs={
        "region_name": "us-east-1"
    }
)

Development

Install the package in editable mode with dev dependencies.

(venv) $ pip install -e .[dev]

nox is used to manage various dev functions. Start with

(venv) $ nox --help

pyenv is used to manage python versions. To run the nox tests for applicable python version you will first need to install them. In the root project dir run:

(venv) $ pyenv install

Changelog

Changelog for aioboto3-assume. All notable changes to this project will be documented in this file.

The format is based on Keep a Changelog, and this project adheres to Semantic Versioning.

[0.1.1] - 2026-01-14

Fixed

• type hints and docstrings on assume_role
• README formatting

[0.1.0] - 2026-01-13

Initial Release. Split from boto3-assume package.