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Access the dashboard

CodeGate includes a web dashboard that lets you view the security risks that CodeGate has detected and a history of interactions between your AI coding assistant and your LLM.

To access the dashboard, ensure port 80 is bound to a port on your local system when you launch CodeGate, for example:

docker run --name codegate -d -p 8989:8989 -p 9090:80 --restart unless-stopped ghcr.io/stacklok/codegate:latest

Open http://localhost:9090 in your web browser to view the dashboard.

To use a different listening port on your host, replace 9090 with your desired port: -p YOUR_PORT:80. The dashboard will be available at http://localhost:YOUR_PORT/.

note

If you change the web dashboard port, some links returned by CodeGate's responses won't work without manually changing the port when they open in your browser.

Persisting dashboard data​

To retain your prompt history and other dashboard metrics between restarts, mount a persistent Docker volume to the CodeGate container. The volume destination must be /app/codegate_volume inside the container. This example creates a volume named codegate_volume:

docker run --name codegate -d -p 8989:8989 -p 9090:80 \
  --mount type=volume,src=codegate_volume,dst=/app/codegate_volume \
  --restart unless-stopped ghcr.io/stacklok/codegate:latest
note

The volume must be mounted to /app/codegate_volume inside the container. Do not modify the dst value of the --mount parameter in the docker run command.