Publish to PyPI workflow (jordan-gibbs/hyperresearch)

The Publish to PyPI workflow from jordan-gibbs/hyperresearch, explained and optimized by Latchkey.

What it does

This is the Publish to PyPI workflow from the jordan-gibbs/hyperresearch repository, a real project running GitHub Actions. It is shown here with attribution under its MIT license.

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

The workflow

name: Publish to PyPI

on:
  push:
    tags:
      - "v*"
  release:
    types: [published]
  workflow_dispatch:

permissions:
  contents: read

jobs:
  build:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4

      - uses: actions/setup-python@v5
        with:
          python-version: "3.13"

      - name: Install build tools
        run: pip install build

      - name: Build package
        run: python -m build

      - name: Upload artifact
        uses: actions/upload-artifact@v4
        with:
          name: dist
          path: dist/

  publish:
    needs: build
    runs-on: ubuntu-latest
    environment: pypi
    permissions:
      id-token: write

    steps:
      - name: Download artifact
        uses: actions/download-artifact@v4
        with:
          name: dist
          path: dist/

      - name: Publish to PyPI
        uses: pypa/gh-action-pypi-publish@release/v1

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: Publish to PyPI
 
on:
  push:
    tags:
      - "v*"
  release:
    types: [published]
  workflow_dispatch:
 
permissions:
  contents: read
 
concurrency:
  group: ${{ github.workflow }}-${{ github.ref }}
  cancel-in-progress: true
 
jobs:
  build:
    timeout-minutes: 30
    runs-on: latchkey-small
    steps:
      - uses: actions/checkout@v4
 
      - uses: actions/setup-python@v5
        with:
          cache: 'pip'
          python-version: "3.13"
 
      - name: Install build tools
        run: pip install build
 
      - name: Build package
        run: python -m build
 
      - name: Upload artifact
        uses: actions/upload-artifact@v4
        with:
          name: dist
          path: dist/
 
  publish:
    timeout-minutes: 30
    needs: build
    runs-on: latchkey-small
    environment: pypi
    permissions:
      id-token: write
 
    steps:
      - name: Download artifact
        uses: actions/download-artifact@v4
        with:
          name: dist
          path: dist/
 
      - name: Publish to PyPI
        uses: pypa/gh-action-pypi-publish@release/v1
 

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 uses latchkey-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.

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.

What Latchkey heals here

This workflow has steps that commonly fail on transient issues (network, registries, flaky browsers). On Latchkey managed runners they are detected, retried, and self-healed instead of failing your build:

• Dependency installs

This workflow runs 2 jobs per trigger. On Latchkey the same minutes cost up to 58% less than GitHub-hosted, with zero queue time.

Actions used in this workflow