@Marvin i want to have a rate limit at my deployment level. is it possible? provide ref.

You need rate limit whole deployment? lemme check. It seems there are some references to managing rate limits using concurrency controls in tasks and flows, though specific rate-limiting at the deployment level isn't explicitly documented. You can use global concurrency limits to throttle task submission and control the overall execution rate:

python
import asyncio
from prefect.concurrency.asyncio import rate_limit

async def main():
    for _ in range(10):
        await rate_limit("rate-limited-api")
        print("Making an HTTP request...")

if __name__ == "__main__":
    asyncio.run(main())

from prefect import flow, task
from prefect.concurrency.sync import rate_limit

@task
def my_task(i):
    return i

@flow
def my_flow():
    for _ in range(100):
        rate_limit("slow-my-flow", occupy=1)
        my_task.submit(1)

if __name__ == "__main__":
    my_flow()

For more details, check the Prefect Guides on Global Concurrency Limits and Rate Limits Documentation.