The log says the repository is:
ssh://github.com/allegroai/clearml

yes

Does this task (started by an agent) have some limitation?
Like being disabled to connect labels?

Maybe I should have clone the repo with https instead of ssh.

Okay, it scceeded.

Can you run this one -

 ?

Do you get the labels for both local and clearml-agent run?

Okay, I did the example.
For the local run, I got the labels.
For the agent run, I did not get the labels.

We have a web server which accepts various requests and manages database resources.
This web server arranges the request and creates a task on the clearml api server, which is running an internal network.

I will set repository url as https and retry.

Um..

and if you clone the local task run and enqueue it to the agent?

It failed.
Saying: Could not read from remote repository.

Ah, great!
It worked!

👍

Which clearml and clearml-agent versions are you using?

Can you run this one - https://github.com/allegroai/clearml/blob/master/examples/reporting/model_config.py ?

Do you get the labels for both local and clearml-agent run?

and if you clone the local task run and enqueue it to the agent?

I mean, the output model comes with the labels which is posted.

The labels are attached for that clone task output model.

No, I have checked it on the web frontend, following the model link and the LABELS tab.

Can you see it in the model? Click on the model link to get into the model

and the LABELS section is empty for running with the agent? Running locally works?

BTW why using the api calls and not clearml sdk?

now I am going AFK.
Thanks for your support!

just a sec...

By the way, we found that when I added labels param and post a tasks.create request, it worked.

Relating to it but another question.

With that task, which is running under an agent, task.connect_label_enumeration does not look working.

For the agent run, I posted only the following params:
name project script typeto tasks.create endpoint and let an agent to pick it.

As for the versions
root@120eb0cddb60:~# pip list | grep clearml clearml 0.17.5 clearml-agent 0.17.1

I will run it right away.

I confirmed that worked if it is not started by an agent.

will try it.

BTW why using the api calls and not clearml sdk?

Because the training part is only the sub system of our whole system.
And the python stuff is not facing to the web, where training request is coming.

Even though I called task.connect_label_enumeration , there is no data to show on the output model.