AzureDevOPS ML Error: We could not find config.json in: /home/vsts/work/1/s or in its parent directories

I am trying to create an Azure DEVOPS ML Pipeline. The following code works 100% fine on Jupyter Notebooks, but when I run it in Azure Devops I get this error:

Traceback (most recent call last):
  File "src/my_custom_package/data.py", line 26, in <module>
    ws = Workspace.from_config()
  File "/opt/hostedtoolcache/Python/3.8.7/x64/lib/python3.8/site-packages/azureml/core/workspace.py", line 258, in from_config
    raise UserErrorException('We could not find config.json in: {} or in its parent directories. '
azureml.exceptions._azureml_exception.UserErrorException: UserErrorException:
    Message: We could not find config.json in: /home/vsts/work/1/s or in its parent directories. Please provide the full path to the config file or ensure that config.json exists in the parent directories.
    InnerException None
    ErrorResponse 
{
    "error": {
        "code": "UserError",
        "message": "We could not find config.json in: /home/vsts/work/1/s or in its parent directories. Please provide the full path to the config file or ensure that config.json exists in the parent directories."
    }
}

The code is:

#import
from sklearn.model_selection import train_test_split
from azureml.core.workspace import Workspace
from azureml.train.automl import AutoMLConfig
from azureml.core.compute import ComputeTarget, AmlCompute
from azureml.core.compute_target import ComputeTargetException
from azureml.core.experiment import Experiment
from datetime import date
from azureml.core import Workspace, Dataset



import pandas as pd
import numpy as np
import logging

#getdata
subscription_id = 'mysubid'
resource_group = 'myrg'
workspace_name = 'mlplayground'
workspace = Workspace(subscription_id, resource_group, workspace_name)
dataset = Dataset.get_by_name(workspace, name='correctData')


#auto ml
ws = Workspace.from_config()


automl_settings = {
    "iteration_timeout_minutes": 2880,
    "experiment_timeout_hours": 48,
    "enable_early_stopping": True,
    "primary_metric": 'spearman_correlation',
    "featurization": 'auto',
    "verbosity": logging.INFO,
    "n_cross_validations": 5,
    "max_concurrent_iterations": 4,
    "max_cores_per_iteration": -1,
}



cpu_cluster_name = "computecluster"
compute_target = ComputeTarget(workspace=ws, name=cpu_cluster_name)
print(compute_target)
automl_config = AutoMLConfig(task='regression',
                             compute_target = compute_target,
                             debug_log='automated_ml_errors.log',
                             training_data = dataset,
                             label_column_name="paidInDays",
                             **automl_settings)

today = date.today()
d4 = today.strftime("%b-%d-%Y")

experiment = Experiment(ws, "myexperiment"+d4)
remote_run = experiment.submit(automl_config, show_output = True)

from azureml.widgets import RunDetails
RunDetails(remote_run).show()

remote_run.wait_for_completion()

from AzureDevOPS ML Error: We could not find config.json in: /home/vsts/work/1/s or in its parent directories