ahh yepp, that makes sense! Thank you so much!

you need to set

CLEARML_DEFAULT_BASE_SERVE_URL: 

So it knows how to access itself

This is odd, how are you spinning clearml-serving ?
You can also do it synchronously :

predict_a = self.send_request(endpoint="/test_model_sklearn_a/", version=None, data=data)
predict_b = self.send_request(endpoint="/test_model_sklearn_b/", version=None, data=data)

Hi @<1523701205467926528:profile|AgitatedDove14> , I already did the scikit learn examples, it works.

Also both endpoint_a and endpoint_b work when hitting them directly within the pipeline example. But not the pipeline itself.

I’m running it through docker-compose . Tried both with and without triton

Hmm still facing same issue actually…

print("This runs!")
predict_a = self.send_request(endpoint="/test_model_sklearn_a/", version=None, data=data)
predict_b = self.send_request(endpoint="/test_model_sklearn_b/", version=None, data=data)

print("Doesn't get here", predict_a, predict_b)

And still, hitting the endpoints independently using curls works. Are you able to replicate this? 

Also what do you have in the "Configuration" section of the serving inference Task?

I did change the

instead of 8080?

So this is the issue

Hi @<1547028116780617728:profile|TimelyRabbit96>
Start with the simple scikit learn example
https://github.com/allegroai/clearml-serving/tree/main/examples/sklearn
The pipeline example is more complicated, it needs the base endpoints, start simple 😃

what do you have here in your docker compose :
None

• Haven’t changed it, although I did change the host port to 8081 instead of 8080? Everything else seems to work fine tho.
• Sorry what do you mean? I basically just followed the tutorial