I additionally tried using a Sagemaker Notebook instance, to see if it was the kernel dockerization that Studio uses that was messing things up. But it seems to actually log less information from a Notebook instance vs Studio .

Yep I think you are correct, you should have had the same output as a local jupyter notebook, and it seems that in sagemaker studio it is not working 😞
Let me check something

SageMaker Studio:

I will once I figure out the fix!

local Jupyter Lab:

it does return kernels, just not sessions

sounds good, thanks!

What do you have in "server_info['url']" ?

I think it just ends up in /home/sagemaker-user/{notebook}.ipynb every time

if there are any tests/debugging you'd like me to try, just let me know

This is strange, let me see if we can get around it, because I'm sure it worked 🙂

and this

server_info['url'] = f"http://{server_info['hostname']}:{server_info['port']}/{server_info['base_url']}/"

the problem is here: None

if I change it to 0.0.0.0 it works

so my reading of the jupyter-kernel-gateway docs is that each session is containerized, so each notebook "session" is totally isolated

but the call to jupyter_server.serverapp.list_running_servers() does return the server