@Marvin can I avoid having to run that

serve()

on a

while True

? I don't know what's causing a

RuntimeError

and it stops my code, so I needed to rerun constantly.

@flow(retries=3, retry_delay_seconds=5, log_prints=True)
def get_repo_info(repo_name: str = "PrefectHQ/prefect"):
    ...


if __name__ == "__main__":
    while True:
        try:
            get_repo_info.serve(name="my-first-deployment")
        except RuntimeError as e:
            if e.args == ("this borrower is already holding one of this CapacityLimiter's tokens",):
                print("Ran into that 'CapacityLimiter's tokens' issue. Restarting.")
                continue
            raise e

It seems like you're running into a

RuntimeError

due to some issue with

CapacityLimiter's tokens

. This might be related to resource allocation or rate limits in Prefect. 1. Resource Allocation: Make sure to allocate enough CPU and memory to your agent. Your agent needs enough resources to appropriately provision infrastructure for your flow runs and to monitor their execution. Otherwise, your flow runs may get stuck in a pending state. [^1^] 2. Rate Limits: API rate limits restrict the number of requests that a single client can make in a given time period. They ensure Prefect Cloud's stability, so that when you make an API call, you always get a response. Prefect Cloud rate limits are subject to change. Contact Prefect support at help@prefect.io if you have questions about current rate limits. [^3^] However, these are just general suggestions. The specific issue you're facing might be due to some other reason. If you could provide more details about the error and the context in which it's occurring, I might be able to help you better. [^1^]: Prefect Docs - Infrastructure [^3^]: Prefect Docs - API Rate Limits & Retention Periods

hey @Diego Lima - you shouldnt have to put .serve in a while loop like that

i'm running all locally (no prefect cloud involved). i'm not running any heavy workload. so i don't think it's related to resource allocation or rate limiting

ah this isn't well documented but there's a process limit setting that doesn't allow more than a certain number of subprocesses running at one time.

i believe if you use

from prefect import serve

instead of the

Flow

method, it will also accept

limit

as a kwarg

that'd make sense. but if I run into that limit at any point, I think I shouldn't have to restart my script. wdyt?

you shouldn't need to; it shouldn't error out so maybe there's a bug somewhere in here

would you mind opening an issue for this?

will do!

thank you! we can most likely get this into next week's release