Hi @<1636175432829112320:profile|PlainSealion45>

2. I used this initial model to create the endpoint with

model add

command.

I think that the initial model needs to be added with model auto-aupdate Not with model add
basically do not call model add - this is static, always using the model ID specified (you can deploy new models with manually callign model add on the same endpoint and specifying diffrent model ID , but again manual)

To Automatically have the models change - and always select the latest one, just call:

learml-serving --id <service_id> model auto-update --tags release --engine triton --endpoint "test_model_pytorch_auto" --preprocess "examples/pytorch/preprocess.py" --name "train pytorch model" --project "serving examples" --max-versions 2 --input-size 1 28 28 --input-name "INPUT__0" --input-type float32    --output-size -1 10 --output-name "OUTPUT__0" --output-type float32

This will take the latest model with the Name "train pytorch model" and the tag "release" from the project "serving examples"

I assume it never worked because you started the endpoint with model add and not auto-update

Notice that in one of your screenshots you have "model_monitoring_eps" with multiple versions of the same endpoint: "test_model_pytorch_auto/2" and "test_model_pytorch_auto/3" which means it created multiple endpoints for diffrent versions, you can also see that each version is using a different model ID
https://clearml.slack.com/files/U066EHAKE9F/F06760GG6NL/2023-11-20_clearmlautomaticmo[…]model_monitoring_eps_monitoredmodelswithtag__released_.png

But your curl code is Not accessing the "test_model_pytorch_auto" it accesses the Static endpoint you added witn model add "test_model_pytorch"
" None " ...

So basically just try: curl " None "... and curl " None ..." etc