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Caching

Caching #5

Workflow file for this run

name: git-bob acting
on:
issues:
types: [opened]
issue_comment:
types:
- created
pull_request:
types: [opened, synchronize]
pull_request_review_comment:
types: [ created ]
jobs:
respond:
runs-on: ubuntu-latest
steps:
- name: Checkout code
uses: actions/checkout@v2
- name: Print pull request number
run: |
echo "Pull Request Number - ${{ github.event.pull_request.number }}"
echo "Organization - ${{ github.repository_owner }}"
echo "Repository Name - ${{ github.repository }}"
- name: Print Job details
run: |
echo "Run ID - ${{ github.run_id }}"
echo "Run No - ${{ github.run_number }}"
echo "Job - ${{ github.job }}"
echo "Job ID - ${{ github.job_id }}"
- name: Set up Python
uses: actions/setup-python@v2
with:
python-version: 3.x
- name: Install dependencies
run: |
python -m pip install --upgrade pip
pip install git-bob==0.12.0
pip install -r requirements.txt
pip install azure-ai-inference
- name: Run git-bob
env:
GIT_BOB_AGENT_NAME: "git-bob"
GIT_BOB_LLM_NAME: "github_models:gpt-4o"
ANTHROPIC_API_KEY: "${{ secrets.ANTHROPIC_API_KEY }}"
GOOGLE_API_KEY: "${{ secrets.GOOGLE_API_KEY }}"
OPENAI_API_KEY: "${{ secrets.OPENAI_API_KEY }}"
GH_MODELS_API_KEY: "${{ secrets.GH_MODELS_API_KEY }}"
KISSKI_API_KEY: "${{ secrets.KISSKI_API_KEY }}"
BLABLADOR_API_KEY: "${{ secrets.BLABLADOR_API_KEY }}"
GITHUB_API_KEY: "${{ secrets.GITHUB_TOKEN }}"
GITHUB_RUN_ID: "${{ github.run_id }}"
TWINE_USERNAME: "${{ secrets.TWINE_USERNAME }}"
TWINE_PASSWORD: "${{ secrets.TWINE_PASSWORD }}"
SYSTEM_MESSAGE: |
You are an extremely skilled python developer. Your name is git-bob. You are sometimes called github-actions bot.
You can solve programming tasks and review code.
When asked to solve a specific problem, you keep your code changes minimal and only solve the problem at hand.
You cannot retrieve information from other sources but from github.com.
Do not claim anything that you don't know.
In case you are asked to review code, you focus on the quality of the code.
VISION_SYSTEM_MESSAGE: |
You are an AI-based vision model with excellent skills when it comes to describing image. When describing an image, you typically explain:
* What is shown in the image.
* If the image shows clearly distinct objects in its channels, these structures are listed for each channel individually.
* You speculate how the image was acquired.
run: |
git-bob github-action ${{ github.repository }} ${{ github.event.pull_request.number }} ${{ github.event.issue.number }}