This application provides backend API endpoints to access various AI chatbots.
SECTIONS
Learn-AI follows the same initial setup steps outlined in the common OL web app guide.
Run through those steps including the addition of /etc/hosts aliases and the optional step for running the
createsuperuser command.
This app runs locally on port 8002.
You can start it by running docker compose up
Configuration can be put in the following file which is gitignored:
mit-learn/
├── env/
└── backend.local.env
You will need at minimum the following environment variable to run locally:
OPENAI_API_KEY=<your_openai_api_key>
To ensure commits to GitHub are safe, first install pre-commit:
pip install pre_commit
pre-commit install
Running pre-commit can confirm your commit is safe to be pushed to GitHub and correctly formatted:
pre-commit run --all-files
To automatically install precommit hooks when cloning a repo, you can run this:
git config --global init.templateDir ~/.git-template
pre-commit init-templatedir ~/.git-template
Run the following curl command to test the HTTP recommendation agent API:
curl 'http://ai.open.odl.local:8002/http/recommendation_agent/' \
-H 'Accept: */*' \
-H 'Connection: keep-alive' \
-H 'Origin: http://ai.open.odl.local:8002' \
-H 'Referer: http://ai.open.odl.local:8002/' \
-H 'User-Agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/131.0.0.0 Safari/537.36' \
-H 'accept-language: en-US,en;q=0.9' \
-H 'content-type: application/json' \
--data-raw '{"message":"I am curious about AI applications for business"}' \
--verbose