Connecting to Kubeflow Pipelines using the SDK client from within multi-user cluster is not working

[GerardoGR]

By following Connecting to Kubeflow Pipelines using the SDK client in multi-user-mode docs to setup a Jupyter notebook I understand that setting the PodDefault with the sample values would work (adjusted to use the desired namespace) when running the suggested python code:

import kfp
client = kfp.Client(host='http://ml-pipeline-ui.kubeflow:80')
print(client.list_experiments())

But this is not the case, this raises a ApiException: (403): it seems that by setting the host parameter the kfp client doesn't fetch the in-cluster token, therefore the snippet should be more like:

import kfp
client = kfp.Client()
print(client.list_experiments())

[varodrig]

/close

[google-oss-prow]

@varodrig: Closing this issue.

In response to this:

/close

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[varodrig]

closing this issue since the documentation has changed and PR was closed.
@GerardoGR please let us know if you are still facing any issues.