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Windows workflow (AgileRL/AgileRL)

The Windows workflow from AgileRL/AgileRL, explained and optimized by Latchkey.

B

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Source: AgileRL/AgileRL.github/workflows/windows-tests.ymlLicense Apache-2.0View source

What it does

This is the Windows workflow from the AgileRL/AgileRL 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

workflow (.yml)
---
name: Windows

on:
    push:
        branches: [main, nightly]
        paths:
            - agilerl/**
            - tests/**
            - .github/workflows/**
            - pyproject.toml
    pull_request:
        branches: [main, nightly]
        paths:
            - agilerl/**
            - tests/**
            - .github/workflows/**
            - pyproject.toml

concurrency:
    group: ${{ github.workflow }}-${{ github.head_ref || github.ref }}
    cancel-in-progress: true

permissions:
    contents: read

jobs:
    tests:
        runs-on: ${{ matrix.os }}
        strategy:
            fail-fast: false
            max-parallel: 4
            matrix:
                os: [windows-2025]
                python-version: ['3.10', '3.11', '3.12', '3.13']

        steps:
            - uses: actions/checkout@v4
            - uses: astral-sh/setup-uv@v7
              with:
                  enable-cache: true
                  python-version: ${{ matrix.python-version }}

            - name: Install dependencies
              run: |
                  pip install uv
                  uv sync --locked --all-groups --extra all

            - name: Test with pytest
              run: |
                  uv run pytest --exitfirst -m "not llm" --cov=agilerl --cov-report=term-missing --durations=0 --durations-min=1.0

The same workflow, on Latchkey

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

---
name: Windows
 
on:
    push:
        branches: [main, nightly]
        paths:
            - agilerl/**
            - tests/**
            - .github/workflows/**
            - pyproject.toml
    pull_request:
        branches: [main, nightly]
        paths:
            - agilerl/**
            - tests/**
            - .github/workflows/**
            - pyproject.toml
 
concurrency:
    group: ${{ github.workflow }}-${{ github.head_ref || github.ref }}
    cancel-in-progress: true
 
permissions:
    contents: read
 
jobs:
    tests:
        timeout-minutes: 30
        runs-on: ${{ matrix.os }}
        strategy:
            fail-fast: false
            max-parallel: 4
            matrix:
                os: [windows-2025]
                python-version: ['3.10', '3.11', '3.12', '3.13']
 
        steps:
            - uses: actions/checkout@v4
            - uses: astral-sh/setup-uv@v7
              with:
                  enable-cache: true
                  python-version: ${{ matrix.python-version }}
 
            - name: Install dependencies
              run: |
                  pip install uv
                  uv sync --locked --all-groups --extra all
 
            - name: Test with pytest
              run: |
                  uv run pytest --exitfirst -m "not llm" --cov=agilerl --cov-report=term-missing --durations=0 --durations-min=1.0

What changed

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:

This workflow runs 1 job (4 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

actions/checkout astral-sh/setup-uv