CodeFlare SDK

An intuitive, easy-to-use python interface for batch resource requesting, access, job submission, and observation. Simplifying the developer's life while enabling access to high-performance compute resources, either in the cloud or on-prem.

For guided demos and basics walkthroughs, check out the following links:

• Guided demo notebooks available here, and copies of the notebooks with expected output also available
• these demos can be copied into your current working directory when using the codeflare-sdk by using the codeflare_sdk.copy_demo_nbs() function
• Additionally, we have a video walkthrough of these basic demos from June, 2023

Full documentation can be found here

Admin guide for heterogeneous Ray clusters under Kueue (multiple worker groups, ResourceFlavor / ClusterQueue prerequisites): docs/sphinx/user-docs/kueue-heterogeneous-ray-clusters.rst (also in the published docs toctree after the next documentation release).

Installation

Can be installed via pip: pip install codeflare-sdk

Authentication

CodeFlare SDK uses kube-authkit for Kubernetes authentication, supporting multiple authentication methods:

• Auto-Detection - Automatically detects kubeconfig or in-cluster authentication
• Token-Based - Authenticate with API server token
• OIDC - OpenID Connect authentication with device flow or client credentials
• OpenShift OAuth - Native OpenShift OAuth support
• Kubeconfig - Traditional kubeconfig file authentication
• In-Cluster - Service account authentication when running in a pod

Quick Start

Codeflare is the single entrypoint. It authenticates and owns the resulting Kubernetes client, so clusters and jobs created from it keep using that client.

from kube_authkit import AuthConfig
from codeflare_sdk import ClusterConfiguration, Codeflare, SDKConfig

# Option 1: Auto-detect authentication (kubeconfig or in-cluster service account)
cf = Codeflare(config=SDKConfig(namespace='my-project'))

# Option 2: OIDC authentication
cf = Codeflare(config=SDKConfig(
    auth=AuthConfig(
        method="oidc",
        oidc_issuer="https://your-oidc-provider.com",
        client_id="your-client-id",
        use_device_flow=True,
    ),
    namespace='my-project',
))

# Option 3: OpenShift OAuth with token
cf = Codeflare(config=SDKConfig(
    auth=AuthConfig(
        method="openshift",
        k8s_api_host="https://api.example.com:6443",
        token="your-token",
    ),
    namespace='my-project',
))

# Now create your cluster. Every SDK entrypoint that takes a cluster
# description takes the same ClusterConfiguration object.
cluster = cf.clusters.create(ClusterConfiguration(name='my-cluster', num_workers=2))
cluster.apply()

Development

Please see our CONTRIBUTING.md for detailed instructions.

Release Instructions

Automated Releases

It is possible to use the Release Github workflow to do the release. This is generally the process we follow for releases

Manual Releases

The following instructions apply when doing release manually. This may be required in instances where the automation is failing.

• Check and update the version in "pyproject.toml" file.
• Commit all the changes to the repository.
• Create Github release (https://docs.github.com/en/repositories/releasing-projects-on-github/managing-releases-in-a-repository#creating-a-release).
• Build the Python package. poetry build
• If not present already, add the API token to Poetry. poetry config pypi-token.pypi API_TOKEN
• Publish the Python package. poetry publish
• Trigger the Publish Documentation workflow