Hi QuizzicalDove0 ,

Yes, you need to create the definition of the experiment, but you can add to your code the following line
task.execute_remotely(queue_name=<queue name>)This will stop running you code and enqueue the task to a specific queue (which the agent will run).

Great, thanks for confirming! Is there any reason why it's not possible to define the experiment in the UI directly?

You can always clone a “template” task and change everything (it will be on draft mode), what is you use case? maybe we already have a solution for it

HI QuizzicalDove0
I guess the reason is that the idea is integration is literally 2 lines, and it will take less time to execute the code on a system with working env (we assume there is one) then to configure all the git , python packages, arguments etc...
All that said you can create an experiment from code , using Task.import_task https://allegro.ai/docs/task.html#trains.task.Task.import_task