Add support for loading workflows from network volume or docker container

[davidmoserai]

Is your feature request related to a problem? Please describe.

The current implementation exposes my workflow to anyone using their browsers dev tools. That makes this repo unusable in production settings.

Describe the solution you'd like

Allow loading workflow configurations using files uploaded to the docker container or on network volume.

Describe alternatives you've considered

N/A

Additional context

N/A

[TimPietruskyRunPod]

The worker currently accepts the workflow inline in each request. The reasoning is that this keeps the worker stateless and the workflow is part of the API contract — caching it across requests would mean a versioning question (when does the cached one update?) and a misconfiguration risk (the wrong workflow runs).

That said, there are two practical patterns for what you're probably trying to do:

1. Workflow as a file on the network volume: Your client reads `/runpod-volume/workflows/my-workflow.json` (mounted on the worker side), parses it, and submits inline. This keeps the worker contract simple while letting you version workflows separately from images. Adds a roundtrip but is the cleanest layer.

2. Workflow baked into the image: If you have a fixed workflow, hardcode it into a derived handler. Some users wrap `handler.py` to default the `workflow` field to a baked-in JSON. Trade-off: redeploy on every workflow change.

3. ComfyUI-to-API: comfy.getrunpod.io takes a workflow and generates a custom worker image that exposes the workflow's parameters as a simpler API — no inline workflow in every request.

Leaving open as a feature request — would consider a `workflow_id` lookup in the volume if a clean implementation is contributed. Without that, closing in favor of the existing patterns.