App testing workflow (streamlit/llm-examples)
The App testing workflow from streamlit/llm-examples, explained and optimized by Latchkey.
CI health: F - at risk
Point runs-on at Latchkey and get caching, run de-duplication, job timeouts, SHA-pinned actions, self-healing for flaky steps, and up to 58% lower cost, applied automatically.
What it does
This is the App testing workflow from the streamlit/llm-examples 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: App testing
on:
push:
branches: [ "main" ]
pull_request:
branches: [ "main" ]
permissions:
contents: read
jobs:
streamlit:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- uses: actions/setup-python@v5
with:
python-version: '3.11'
- uses: streamlit/streamlit-app-action@v0.0.3
with:
app-path: Chatbot.py
ruff: true
pytest-args: -v --junit-xml=test-results.xml
- if: always()
uses: pmeier/pytest-results-action@v0.6.0
with:
path: test-results.xml
summary: true
display-options: fEX
The same workflow, on Latchkey
Estimated ~20% faster on cache hits, plus fewer wasted runs and a safer supply chain. Added and changed lines are highlighted.
name: App testing on: push: branches: [ "main" ] pull_request: branches: [ "main" ] permissions: contents: read concurrency: group: ${{ github.workflow }}-${{ github.ref }} cancel-in-progress: true jobs: streamlit: timeout-minutes: 30 runs-on: latchkey-small steps: - uses: actions/checkout@v4 - uses: actions/setup-python@v5 with: cache: 'pip' python-version: '3.11' - uses: streamlit/streamlit-app-action@v0.0.3 with: app-path: Chatbot.py ruff: true pytest-args: -v --junit-xml=test-results.xml - if: always() uses: pmeier/pytest-results-action@v0.6.0 with: path: test-results.xml summary: true display-options: fEX
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. - Cancel superseded runs when a branch or PR gets a newer push.
- Cache dependency installs on the setup step so they are served from cache.
- Add a job timeout so a hung step cannot burn hours of runner time.
2 third-party actions are referenced by a movable tag. Pin them 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.