Dispatch Format Command workflow (NVIDIA/NVFlare)
The Dispatch Format Command workflow from NVIDIA/NVFlare, explained and optimized by Latchkey.
CI health: B - good
Point runs-on at Latchkey and get job timeouts, SHA-pinned actions, self-healing for flaky steps, and up to 58% lower cost, applied automatically.
What it does
This is the Dispatch Format Command workflow from the NVIDIA/NVFlare repository, a real project running GitHub Actions. It is shown here with attribution under its Apache-2.0 license.
Below, Latchkey shows a faster, safer version produced by its optimization engine.
The workflow
name: Dispatch Format Command
on:
issue_comment:
types: [created]
jobs:
slash-command:
if: github.event.issue.pull_request != null && contains(github.event.comment.body, '/format')
runs-on: ubuntu-latest
steps:
- name: Trigger Format Workflow
uses: peter-evans/slash-command-dispatch@v5
with:
token: ${{ secrets.GITHUB_TOKEN }}
command: format
reaction-token: ${{ secrets.GITHUB_TOKEN }}
The same workflow, on Latchkey
Removes redundant runs and caps runaway jobs. Added and changed lines are highlighted.
name: Dispatch Format Command on: issue_comment: types: [created] jobs: slash-command: timeout-minutes: 30 if: github.event.issue.pull_request != null && contains(github.event.comment.body, '/format') runs-on: latchkey-small steps: - name: Trigger Format Workflow uses: peter-evans/slash-command-dispatch@v5 with: token: ${{ secrets.GITHUB_TOKEN }} command: format reaction-token: ${{ secrets.GITHUB_TOKEN }}
What changed
- Run on Latchkey managed runners with one line (
runs-on), which apply the fixes below automatically and self-heal transient failures. This example useslatchkey-small; pick the runner size that fits the job. - Add a job timeout so a hung step cannot burn hours of runner time.
1 third-party action is referenced by a movable tag. Pin it to the commit SHA (Latchkey resolves and applies this automatically) so a repointed tag cannot change what runs.
This workflow runs 1 job per trigger. On Latchkey the same minutes cost up to 58% less than GitHub-hosted, with zero queue time.