AI Moderator workflow (appwrite/appwrite)

A

CI health grade

85/100

Health score

1

Job per trigger

2

Fixes in the optimized version

What it does

This is the AI Moderator workflow from the appwrite/appwrite repository, a real project running GitHub Actions. It is shown here with attribution under its BSD-3-Clause license.

Below, Latchkey shows a faster, safer version produced by its optimization engine.

The workflow

name: AI Moderator

on:
  issues:
    types: [opened, edited]
  issue_comment:
    types: [created, edited]
  pull_request_review:
    types: [submitted, edited]
  pull_request_review_comment:
    types: [created, edited]
  discussion:
    types: [created, edited]
  discussion_comment:
    types: [created, edited]

permissions:
  models: read
  issues: write
  pull-requests: write
  discussions: write

jobs:
  moderate:
    runs-on: ubuntu-latest
    steps:
      - name: AI Moderator
        uses: github/ai-moderator@81159c370785e295c97461ade67d7c33576e9319 # v1.1.4
        with:
          token: ${{ secrets.GITHUB_TOKEN }}

The same workflow, on Latchkey

Removes redundant runs and caps runaway jobs. Added and changed lines are highlighted.

name: AI Moderator

on:
  issues:
    types: [opened, edited]
  issue_comment:
    types: [created, edited]
  pull_request_review:
    types: [submitted, edited]
  pull_request_review_comment:
    types: [created, edited]
  discussion:
    types: [created, edited]
  discussion_comment:
    types: [created, edited]

permissions:
  models: read
  issues: write
  pull-requests: write
  discussions: write

jobs:
  moderate:
    runs-on: ubuntu-latest
    timeout-minutes: 30
    runs-on: latchkey-small
    steps:
      - name: AI Moderator
        uses: github/ai-moderator@81159c370785e295c97461ade67d7c33576e9319 # v1.1.4
        with:
          token: ${{ secrets.GITHUB_TOKEN }}

What changed

1. Run on Latchkey managed runners with one line (runs-on), which apply the fixes below automatically and self-heal transient failures. Each Linux x64 job moves to the Latchkey size matching its vCPU count, latchkey-small for a standard 2 vCPU runner; macOS, Windows and arm64 jobs stay as written.
2. Add a job timeout so a hung step cannot burn hours of runner time.

This workflow runs 1 job per trigger. It runs on a standard GitHub-hosted Linux x64 runner, which in a private repository bills $0.006 a minute against $0.0025 on latchkey-small, 58% lower; in a public repository like this one it is free. Estimate the monthly difference with your own run counts.

Actions used in this workflow

• github/ai-moderator

Frequently asked questions

References

• GitHub Actions documentation