This repository has been archived by the owner on May 28, 2024. It is now read-only.
Record telemetry when RayLLM is launched using a Serve config #158
Workflow file for this run
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| name: 🦜🔍 Documentation build and deploy | |
| on: | |
| push: | |
| branches: | |
| - master | |
| pull_request: | |
| branches: | |
| - master | |
| permissions: | |
| contents: write | |
| jobs: | |
| deploy: | |
| runs-on: ubuntu-latest | |
| steps: | |
| - uses: actions/checkout@v3 | |
| - uses: actions/setup-python@v4 | |
| with: | |
| python-version: 3.x | |
| - run: echo "cache_id=$(date --utc '+%V')" >> $GITHUB_ENV | |
| - uses: actions/cache@v3 | |
| with: | |
| key: mkdocs-material-${{ env.cache_id }} | |
| path: .cache | |
| restore-keys: | | |
| mkdocs-material- | |
| - run: pip install mkdocs-material | |
| - run: mkdocs gh-deploy --force |