I think the environment variables path might work for you then?
You'd set your config with
use_credentials_chain: ${CREDENTIALS_CHAIN} Then in Python you could os.environ['CREDENTIALS_CHAIN'] = True/False before you make any calls to ClearML?

But AFAIK there's no support for this env var at the moment 🙂

Oh, I get your point now... I guess you're right 😄

As a "hack", you can do this:
from clearml.storage.helper import StorageHelper StorageHelper._s3_configurations._default_use_credentials_chain = True

StaleButterfly40 what use case are you looking for? I've used environment variables in the config file and then I can overwrite them in os.environ before ClearML loads the config

Hey StaleButterfly40 ,
I think right now you can only do that by either injecting values to the conf file before importing clearml. Changing the loaded configuration and making sure the values were not already taken from there is not recommended.

I thought this follows from our previous discussion SuccessfulKoala55 , where this is a built-in feature of pyhocon?

Thanks, I'll try it out

If you have any specific use-case, let's discuss it - we can always support an env var very easily.

I want to set use_credentials_chain to true, but do not want to change the config file because I am running in cloud and do not want to have to download it each time I run