edge-ai

Local .env File

To run the Edge-AI module with its API, you'll need to create a local .env in your local directory with the following values for the Generative AI services you intend to use and the FOLIO environment (the example below uses the Bugfest Quesnelia environment):

export ANTHROPIC_API_KEY={your-claude-ai-key}
export GOOGLE_API_KEY={google-gemini-key}
export OPENAI_API_KEY={your-openai-key}
export OPENAI_MODEL=gpt-3.5-turbo
export OKAPI_URL=https://okapi-bugfest-quesnelia.int.aws.folio.org
export TENANT_ID=fs09000000
export ADMIN_USER=folio
export ADMIN_PASSWORD=folio

Developing

1. Install poetry
2. Clone the repository git clone --depth=5 https://github.com/folio-labs/edge-ai.git
3. Change to the primary directory cd edge-ai/
4. Run dependency installation poetry install
5. Source local environmental .env file source .env
6. Run fastapi in local dev mode poetry run fastapi dev src/edge_ai/main.py

Running in a Docker container

To run the edge-ai in Docker, you'll need to adjust your .env file to follow the Docker format of KEY=VALUE like:

ANTHROPIC_API_KEY={your-claude-ai-key}
GOOGLE_API_KEY={google-gemini-key}
OKAPI_URL=https://okapi-bugfest-quesnelia.int.aws.folio.org
TENANT_ID=fs09000000
ADMIN_USER=folio
ADMIN_PASSWORD=folio

Then to run use the --env-file parameter along with the --expose the API port 80 and then to allow the docker host to connect to the container on the host's port 8004 (or another host port) use the -p 8004:80 parameter:

docker run --env-file .env --expose 80 -p 8004:80 folio-labs/edge-ai:latest