A LeapfrogAI API-compatible repeater backend that simply parrots the input it is provided back to the user. This is primarily used for quick-testing the API.
The repeater backend is used to verify that the API is able to both load configs for and send inputs to a very simple backend. The repeater backend fulfills this role by returning the input it recieves as output.
See the LeapfrogAI documentation website for system requirements and dependencies.
- Have the LeapfrogAI API deployed, running, and accessible in order to provide a fully RESTful application
To build and deploy the repeater backend Zarf package into an existing UDS Kubernetes cluster:
Important
Execute the following Make targets from the root of the LeapfrogAI repository
make build-repeater LOCAL_VERSION=dev
uds zarf package deploy packages/repeater/zarf-package-repeater-*-dev.tar.zst --confirmTo run the repeater backend locally:
Important
Execute the following commands from this sub-directory
# Install dependencies and start the model backend
make devNow the basic API tests can be run in full with the following commands.
Important
Execute the following commands from from the root of the LeapfrogAI repository
export LFAI_RUN_REPEATER_TESTS=true # this is needed to run the tests that require the repeater model, otherwise they get skipped
pytest tests/pytest/test_api_auth.py