Generate LLM.txt workflow (pathintegral-institute/mcpm.sh)
The Generate LLM.txt workflow from pathintegral-institute/mcpm.sh, explained and optimized by Latchkey.
CI health: C - fair
Point runs-on at Latchkey and get caching, job timeouts, self-healing for flaky steps, and up to 58% lower cost, applied automatically.
What it does
This is the Generate LLM.txt workflow from the pathintegral-institute/mcpm.sh 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: Generate LLM.txt
on:
# Trigger on releases
release:
types: [published]
# Allow manual trigger
workflow_dispatch:
jobs:
generate-llm-txt:
runs-on: ubuntu-latest
permissions:
contents: write
pull-requests: write
steps:
- name: Generate token
id: generate_token
uses: actions/create-github-app-token@v1
with:
app-id: ${{ secrets.BOT_APP_ID }}
private-key: ${{ secrets.BOT_PRIVATE_KEY }}
- name: Checkout code
uses: actions/checkout@v4
with:
token: ${{ steps.generate_token.outputs.token }}
fetch-depth: 0
- name: Set up Python
uses: actions/setup-python@v5
with:
python-version: '3.11'
- name: Install dependencies
run: |
python -m pip install --upgrade pip
pip install -e .
- name: Generate llm.txt
run: |
python scripts/generate_llm_txt.py
- name: Check for changes
id: check_changes
run: |
if git diff --quiet llm.txt; then
echo "no_changes=true" >> $GITHUB_OUTPUT
else
echo "no_changes=false" >> $GITHUB_OUTPUT
fi
- name: Commit and push changes
if: steps.check_changes.outputs.no_changes == 'false'
run: |
git config --local user.email "action@github.com"
git config --local user.name "GitHub Action"
git add llm.txt
git commit -m "docs: update llm.txt for AI agents [skip ci]"
git push
env:
GITHUB_TOKEN: ${{ steps.generate_token.outputs.token }}
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: Generate LLM.txt on: # Trigger on releases release: types: [published] # Allow manual trigger workflow_dispatch: jobs: generate-llm-txt: timeout-minutes: 30 runs-on: latchkey-small permissions: contents: write pull-requests: write steps: - name: Generate token id: generate_token uses: actions/create-github-app-token@v1 with: app-id: ${{ secrets.BOT_APP_ID }} private-key: ${{ secrets.BOT_PRIVATE_KEY }} - name: Checkout code uses: actions/checkout@v4 with: token: ${{ steps.generate_token.outputs.token }} fetch-depth: 0 - name: Set up Python uses: actions/setup-python@v5 with: cache: 'pip' python-version: '3.11' - name: Install dependencies run: | python -m pip install --upgrade pip pip install -e . - name: Generate llm.txt run: | python scripts/generate_llm_txt.py - name: Check for changes id: check_changes run: | if git diff --quiet llm.txt; then echo "no_changes=true" >> $GITHUB_OUTPUT else echo "no_changes=false" >> $GITHUB_OUTPUT fi - name: Commit and push changes if: steps.check_changes.outputs.no_changes == 'false' run: | git config --local user.email "action@github.com" git config --local user.name "GitHub Action" git add llm.txt git commit -m "docs: update llm.txt for AI agents [skip ci]" git push env: GITHUB_TOKEN: ${{ steps.generate_token.outputs.token }}
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. - 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
This workflow runs 1 job per trigger. On Latchkey the same minutes cost up to 58% less than GitHub-hosted, with zero queue time.