CI workflow (splx-ai/agentic-radar)

The CI workflow from splx-ai/agentic-radar, explained and optimized by Latchkey.

What it does

This is the CI workflow from the splx-ai/agentic-radar 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: CI

on:
  pull_request:
    branches:
      - main

env:
  POETRY_VERSION: 2.0.1


jobs:
  check:
    runs-on: ubuntu-latest
    strategy:
      matrix:
        python-version: ["3.9", "3.x"]

    steps:
      - uses: actions/checkout@v4
      - uses: actions/setup-python@v5
        with:
          python-version: ${{ matrix.python-version }}

      - name: Install poetry
        if: runner.os != 'Windows'
        run: curl -sSL https://install.python-poetry.org | python3 -

      - name: Install basic dependencies
        run: |
          poetry install

      - name: Run tests with basic dependencies
        run: |
          poetry run python -m pytest -v -s

      - name: Install extra dependencies
        run: | 
          poetry install --all-extras

      - name: Run tests with extra dependencies
        run: |
          poetry run python -m pytest -v -s

      - name: Run checks
        run: | 
          poetry run ruff check
          poetry run mypy agentic_radar
        

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: CI
 
on:
  pull_request:
    branches:
      - main
 
env:
  POETRY_VERSION: 2.0.1
 
 
concurrency:
  group: ${{ github.workflow }}-${{ github.ref }}
  cancel-in-progress: true
 
jobs:
  check:
    timeout-minutes: 30
    runs-on: latchkey-small
    strategy:
      matrix:
        python-version: ["3.9", "3.x"]
 
    steps:
      - uses: actions/checkout@v4
      - uses: actions/setup-python@v5
        with:
          cache: 'pip'
          python-version: ${{ matrix.python-version }}
 
      - name: Install poetry
        if: runner.os != 'Windows'
        run: curl -sSL https://install.python-poetry.org | python3 -
 
      - name: Install basic dependencies
        run: |
          poetry install
 
      - name: Run tests with basic dependencies
        run: |
          poetry run python -m pytest -v -s
 
      - name: Install extra dependencies
        run: | 
          poetry install --all-extras
 
      - name: Run tests with extra dependencies
        run: |
          poetry run python -m pytest -v -s
 
      - name: Run checks
        run: | 
          poetry run ruff check
          poetry run mypy agentic_radar
        
 

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.

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
• Network fetches

This workflow runs 1 job (2 with the matrix expanded) per trigger. On Latchkey the same minutes cost up to 58% less than GitHub-hosted, with zero queue time.

Actions used in this workflow