@ancient-wolf-19325 how should ci/cd pipeline authenticate with my flyte instance?

For CI/CD pipelines, Flyte supports authentication using the OAuth2 client credentials grant type, which allows non-interactive authentication (no user login required). You need to create a client ID and secret for your CI/CD system, configure Flyte to use the client_credentials grant, and set these credentials in your pipeline environment. This approach is recommended for headless and automated systems, as described in Flyte GitHub Issue #5021. You can also use the

flytectl

CLI or Flyte's Python SDK in your CI/CD jobs, providing the client ID and secret via environment variables or config files. For more details and best practices, see the Flyte CI/CD documentation. Would you like a step-by-step example or configuration snippet? Sources: - Flyte GitHub Issue #5021 👍 0 button 👎 0 button 💡 Hint: Mention @runllm in the thread for followups.

@ancient-wolf-19325 I'm using gitlab, what does it have flyte-setup-action? If it doesn't, what does flyte-setup-action actually do so I can do it manually in gitlab

GitLab does not natively support the

flyte-setup-action

, which is a GitHub Action designed to install

flytectl

in GitHub CI runners. The action automates downloading and installing the

flytectl

CLI so that subsequent steps in the pipeline can interact with Flyte (e.g., for registration or execution) (flyte-setup-action usage). To replicate this in GitLab CI, manually install

flytectl

in your pipeline by downloading the appropriate binary and adding it to your

PATH

. This typically involves using

curl

or

wget

to fetch the release from the flytectl GitHub releases page, extracting it, and exporting the binary path. Would you like a sample GitLab CI YAML snippet for this process? Sources: - https://github.com/flyteorg/flyte/blob/master/docs/user_guide/flyte_fundamentals/registering_workflows.md 👍 0 button 👎 0 button 💡 Hint: Mention @runllm in the thread for followups.

@ancient-wolf-19325 can I use pyflyte package to automatically detect all workflows in a folder?

Yes,

pyflyte package

can automatically detect and serialize all Flyte workflows and tasks within the specified Python package(s) or directory. You must use the

--pkgs

option to specify the package(s) to scan; it will find all entities decorated with

@workflow

or

@task

in those modules (registering_workflows.md). Make sure your folder is a valid Python package (contains

__init__.py

), and invoke the command from the parent directory:

pyflyte --pkgs workflows package --image <your-image>

Would you like more detail or troubleshooting tips? Sources: - https://github.com/flyteorg/flyte/blob/master/docs/user_guide/flyte_fundamentals/registering_workflows.md 👍 0 button 👎 0 button 💡 Hint: Mention @runllm in the thread for followups.