gpt4all-box

Gpt4All Q/A prompt session service-in-a-box. (for internal-use only, not meant for public servers, yet...)

Usage

First build the Docker image:

./docker-build.sh

Next run the image as a container, see examples below.

You can open the examples/ui.html on your local web browser to access the client chat UI.

Development

This will run a development container WebSocket server on TCP port 8184.

You can connect to this via the the UI or CLI HTML page examples located in examples/.

Why are we not specifying -u "$(id -u):$(id -g)" ?

Because the ~/.cache/gpt4all directory must exist, and therefore it needs a user internal to the docker container. Apparently the value model_path can be set in our gpt.py, but we're not doing that right now.

docker run --rm -it \
	-e SYSTEM_MESSAGE="This is an example!" \
	-e HEARTBEAT_INTERVAL=5000 \
	-p 8184:8184 \
	-v "$(pwd):/mnt" \
	gpt4all-box

Production

docker run --name gpt4all-box \
	--detach \
	--publish 8184:8184 \
	--volume "$(pwd):/mnt" \
	gpt4all-box

Environment Variables

Name	Default	Description
MODEL_THREADS	4	Number of CPU threads for the LLM agent to use.
SYSTEM_MESSAGE		Set an announcement message to send to clients on connection.
HEARTBEAT_INTERVAL	5000	How often events are processed internally, such as session pruning.
MAX_IDLE_SESSION_DURATION	180000	Execute stale session purge after this period.
SSL_KEY		Path to SSL key file in PEM format.
SSL_CERT		Path to SSL cert file in PEM format.