@Marvin I want to give retry_delay_seconds parameter of flow decorator the value at runtime

To dynamically set the

retry_delay_seconds

parameter at runtime in a Prefect 3.x flow, you can use Prefect's utility functions and decorators. Unfortunately, the direct setting of

retry_delay_seconds

using a runtime variable within the decorator itself is not documented as supported. However, you can manipulate retry behavior using Prefect's built-in utilities like exponential backoff or jitter, as mentioned in the documentation. Here's how you might approach it: 1. Exponential Backoff and Jitter: Prefect provides an

exponential_backoff

utility that can be used to generate a list of retry delays. You can also add jitter to add randomness to retry delays, which might help in dynamically adjusting the delay indirectly. 2. Global Settings: You can configure retry behavior globally, but this won't override settings specified in the task decorator itself. For more details, you can explore the documentation on Prefect's retry strategies. If you need to adjust retry delays based on runtime conditions, consider implementing custom logic within your task or flow to handle retries more dynamically, possibly using Prefect's flow control features like

pause_flow_run

. Here's a simple example of using exponential backoff with jitter:

python
from prefect import flow, task
from prefect.utilities.tasks import exponential_backoff

@task(retries=3, retry_delay_seconds=exponential_backoff(initial=10, multiplier=2, max_delay=60))
def my_task():
    # Task logic here
    pass

@flow
def my_flow():
    my_task()

For more advanced scenarios, you may need to programmatically manage retries within the task logic itself.