refactor: use jinja2
templates for Memory.compile
instead of writing Python code
#37
Workflow file for this run
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name: Endpoint (Anthropic) | |
env: | |
OPENAI_API_KEY: ${{ secrets.ANTHROPIC_API_KEY }} | |
on: | |
push: | |
branches: [ main ] | |
pull_request: | |
branches: [ main ] | |
jobs: | |
test: | |
runs-on: ubuntu-latest | |
timeout-minutes: 15 | |
steps: | |
- name: Checkout | |
uses: actions/checkout@v4 | |
- name: "Setup Python, Poetry and Dependencies" | |
uses: packetcoders/action-setup-cache-python-poetry@main | |
with: | |
python-version: "3.12" | |
poetry-version: "1.8.2" | |
install-args: "-E dev" | |
- name: Initialize credentials | |
env: | |
ANTHROPIC_API_KEY: ${{ secrets.ANTHROPIC_API_KEY }} | |
run: | | |
poetry run memgpt quickstart --backend anthropic | |
- name: Test LLM endpoint | |
env: | |
ANTHROPIC_API_KEY: ${{ secrets.ANTHROPIC_API_KEY }} | |
run: | | |
poetry run pytest -s -vv tests/test_endpoints.py::test_llm_endpoint_anthropic |