Hi @<1706116294329241600:profile|MinuteMouse44> , are you running in docker mode?

@<1523701070390366208:profile|CostlyOstrich36> any updates?
Is it possible to avoid using docker mode?

It should be in top level, not environment or agent

And where are these login/pass env vars are used?

Yes, but then you need to manually inject those environment variables when running the agent

Can you provide an information, how to do that?

for example EXPORT FOO=BAR clearml-agent daemon ...

But as I said before it seems that agent got them:

And in agent log I can see:

agent.environment.login = ****
agent.environment.pass = ****

what if I can’t use the docker mode because the agent is already running inside docker

@<1523701070390366208:profile|CostlyOstrich36> any updates here?

If on a linux, that's one option. Basically any way you see fit to make sure the env variable is available for the agent

So I need to use EXPORT before spinning up clearml-agent daemon?

Thank you this works 🙌

But by the way, why agent didn’t read env variables from clearml.conf file ?

Then just use export

no, without docker

Hi @<1706116294329241600:profile|MinuteMouse44> , you need to run in docker mode with --docker tag to be able to inject env variables

@<1523701070390366208:profile|CostlyOstrich36>
And if I use docker mode, an agent will read env variables from clearml.conf file?

Sorry, I didn’t really understand about top level
What do you mean?

In my script:

And in my script I using

python-dotenv

from dotenv import load_dotenv
load_dotenv()
login = os.getenv("login")
password = os.getenv("pass")

I use them to connect to DB