This is a developer toolkit for working with Amazon ElastiCache, as a Python library and CLI. It provides a function to generate an IAM authentication token that Amazon ElastiCache requires as the connection password for an IAM-enabled user.
Requires Python 3.10–3.14 and pip. Install from PyPI:
python3 -m pip install developer-toolkit-elasticacheIf you don't have pip installed, this
Python installation guide can
guide you through the process.
This installs the library and the developer-toolkit-elasticache command. To install
from source instead, clone the repository and run python3 -m pip install . from the
python/ directory.
To generate a usable token you need:
- An Amazon ElastiCache serverless cache or replication group with the following:
- Valkey 7.2 and above or Redis OSS 7.0 and above
- In-transit Encryption (TLS) enabled
- IAM-enabled user that has access to to the cache.
- AWS credentials on the default credential chain (environment variables, shared
config files, or an instance/container role), for an identity with the
elasticache:Connectpermission to the cache.
from developer_toolkit_elasticache import generate_iam_auth_token
token = generate_iam_auth_token(
serverless_cache_name="my-cache", # or replication_group_id="my-group"
user_id="iam-user",
region="us-east-1",
)Use the returned token as the password when connecting to the cache.
Arguments
serverless_cache_nameorreplication_group_id(string) [one required] The serverless cache or node-based replication group to sign for.user_id(string) [required] The IAM-enabled user to authenticate as.region(string) [optional] The AWS region. Defaults to your AWS configuration (AWS_REGION,AWS_DEFAULT_REGION, or theregionin your profile, in that order).
Credentials
Credentials are resolved through the standard AWS credential provider chain and are re-read on every call, so rotated credentials are picked up for every new token generation. The chain is checked in this order:
- Environment variables (
AWS_ACCESS_KEY_ID,AWS_SECRET_ACCESS_KEY, andAWS_SESSION_TOKEN). - The shared credentials and config files (
~/.aws/credentials,~/.aws/config), selected byAWS_PROFILE, including any assume-role or SSO configuration. - Container credentials (Amazon ECS / EKS).
- EC2 instance profile credentials (IMDS).
Clients such as redis-py and valkey-py request credentials on every reconnection.
Pass them an ElastiCacheIAMAuthTokenProvider and call get_token() when the
connection opens, so each connection uses a fresh token:
from developer_toolkit_elasticache import ElastiCacheIAMAuthTokenProvider
auth = ElastiCacheIAMAuthTokenProvider(
serverless_cache_name="my-cache",
user_id="iam-user",
region="us-east-1",
)
username, password = auth.user_id, auth.get_token()The examples/ directory has redis-py and valkey-py integrations.
developer-toolkit-elasticache generate_iam_auth_token \
--serverless-cache-name my-cache \
--user-id iam-user \
--region us-east-1Add --region to sign for a specific region instead of the one resolved from your
AWS configuration
For the command line, the token is written to stdout, so you can capture it
directly and pass it to a CLI client through an auth environment variable.
REDISCLI_AUTH works with both redis-cli and valkey-cli; VALKEYCLI_AUTH
works with valkey-cli 9.0.0 and later:
export VALKEYCLI_AUTH=$(developer-toolkit-elasticache generate_iam_auth_token \
--serverless-cache-name my-cache --user-id iam-user --region us-east-1)
# Example: connecting via valkey-cli
valkey-cli --tls -h <my-cache-configured-endpoint> --user <iam-user>The token is a bearer credential. Keep it out of logs and shell history, and
connect over TLS. When using a CLI client, you can use the REDISCLI_AUTH /
VALKEYCLI_AUTH environment variable to pass the token more safely than the
-a / --pass flags, which expose it in the process list.
Apache-2.0. See LICENSE.