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

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

Can you provide an information, how to do that?

no, without docker

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

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

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

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

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

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

Then just use export

Thank you this works 🙌

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

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

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

It should be in top level, not environment or agent

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

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

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