Hi AgitatedDove14 , great, glad it was fixed quickly!

By the way, before releasing version 1.1.3 you might want to take a look at this mock example. I'm trying to run the same pipeline (with different configurations) in a single for loop, as you can see below:
` from clearml import Task
from clearml.automation.controller import PipelineDecorator

@PipelineDecorator.component(return_values=["msg"], execution_queue="myqueue1")
def step_1(msg: str):
msg += "\nI've survived step 1!"
return msg

@PipelineDecorator.component(return_values=["msg"], execution_queue="myqueue2")
def step_2(msg: str):
msg += "\nI've also survived step 2!"
return msg

@PipelineDecorator.component(return_values=["msg"], execution_queue="myqueue3")
def step_3(msg: str):
msg += "\nI can't believe I survived step 3 too!"
return msg

@PipelineDecorator.component(return_values=["msg"], execution_queue="myqueue4")
def step_4(msg: str):
msg += "\nAmazing, I survived the final step!"
return msg

@PipelineDecorator.pipeline(
name="orchestrator_pipe",
project="Untitled",
version="1.0.0",
pipeline_execution_queue="pipeline_controllers",
)
def execute_orchestrator(config: dict):
print("Player name:", config["player_name"])
print("Identity:", config["player_identity"])
msg = f"{config['player_name'].title()} playing survival step game"
msg = msg + "\n" + "-" * len(msg)
msg = step_1(msg)
msg = step_2(msg)
msg = step_3(msg)
msg = step_4(msg)
print(msg)
print("Victory!", end="\n")

if name == "main":

PipelineDecorator.debug_pipeline()

PLAYERS_NAMES = ["Frank", "Alexander", "John"]
PLAYERS_IDENTITIES = ["Renegade", "Observer", "Lazy"]

for player_name, player_identity in zip(PLAYERS_NAMES, PLAYERS_IDENTITIES):
    print(f"Executing pipeline for {player_name}")
    config = dict()
    config["player_name"] = player_name
    config["player_identity"] = player_identity
    execute_orchestrator(config)
    print(f"Pipeline finished for {player_name}", end="\n\n") `

But I'm getting the following error:
Traceback (most recent call last): File "/home/user/myproject/concurrent_pipelines_lab.py", line 61, in <module> execute_orchestrator(config) File "/home/user/anaconda3/envs/myenv/lib/python3.9/site-packages/clearml/automation/controller.py", line 2213, in internal_decorator func(**pipeline_kwargs) File "/home/user/myproject/concurrent_pipelines_lab.py", line 40, in execute_orchestrator msg = step_1(msg) File "/home/user/anaconda3/envs/myenv/lib/python3.9/site-packages/clearml/automation/controller.py", line 2058, in wrapper _node = cls._singleton._nodes[_name] KeyError: 'step_1'Can you reproduce this example? Are the new style pipelines designed to work like this? Because it would be amazing if they could.
The reason I want to achieve this is to allow several pipelines to run simultaneously (to give a real world example, imagine I want to develop several models concurrently for different configurations)