nice! Just tested it on my end as well, looks like it works!

Hi @<1532532498972545024:profile|LittleReindeer37> @<1523701205467926528:profile|AgitatedDove14>
I got the session with a bit of "hacking".
See this script:

import boto3, requests, json
from urllib.parse import urlparse

def get_notebook_data():
    log_path = "/opt/ml/metadata/resource-metadata.json"
    with open(log_path, "r") as logs:
        _logs = json.load(logs)
    return _logs

notebook_data = get_notebook_data()
client = boto3.client("sagemaker")
response = client.create_presigned_domain_url(
    DomainId=notebook_data["DomainId"],
    UserProfileName=notebook_data["UserProfileName"]
)
authorized_url = response["AuthorizedUrl"]
authorized_url_parsed = urlparse(authorized_url)
unauthorized_url = authorized_url_parsed.scheme + "://" + authorized_url_parsed.netloc
with requests.Session() as s:
    s.get(authorized_url)
    print(s.get(unauthorized_url + "/jupyter/default/api/sessions").content)

Basically, we can get the session directly from AWS, but we need to be authenticated.
One way I found was to create a presigned url through boto3, by getting the domain id and profile name from a resoure-metadata file that is found on the machine None .
Then use that to get the session...
Maybe there are some other ways to do this (safer), but this is a good start. We know it's possible

the server_info is

[{'base_url': '/jupyter/default/',
  'hostname': '0.0.0.0',
  'password': False,
  'pid': 9,
  'port': 8888,
  'root_dir': '/home/sagemaker-user',
  'secure': False,
  'sock': '',
  'token': '',
  'url': '

',
  'version': '1.23.2'}]

Hmm and you are getting empty list for thi one:

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

Yes, I'm running a notebook in Studio. Where should it be captured?

yep

right now I can't figure out how to get the session in order to get the notebook path

you mean the code that fires "HTTPConnectionPool" ?

This is very odd ... let me check something

curious whether it impacts anything besides sagemaker. I'm thinking it's generically a kernel gateway issue, but I'm not sure if other platforms are using that yet

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

the problem is here: None

if I add the base_url it's not found

as best I can tell it'll only have one .ipynb in $HOME with this setup, which may work...

Try to add here:
None

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

so notebooks ends up empty

if I change it to 0.0.0.0 it works

so notebook path is empty