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It seems defining concurrency specifically for a flow is not straightforwardly documented, or at least I failed to locate a precise resource. However, here are general steps and a relevant piece of code for managing concurrency in Prefect: 1. Task Concurrency Limits: Prefect allows you to set concurrency limits on tasks using tags. You define these limits in your task's configuration. 2. Deployment Concurrency: Deployments can be managed to avoid exceeding set concurrency limits using proper deployment strategies. Below is an example of an async flow from the provided code snippets:

python
import asyncio
from prefect import flow, task, get_client

@task(tags=["openai"])
async def my_task():
    await asyncio.sleep(0.1)
    print("Hello from task")

@flow
async def my_flow():
    async with get_client() as client:
        await client.reset_concurrency_limit_by_tag("openai")
    
    async with asyncio.TaskGroup() as tg:
        [tg.create_task(my_task()) for _ in range(10)]

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

In this example, the tag

"openai"

is used to set a concurrency limit in Prefect's client. Adjust your flow and tasks accordingly to use your desired concurrency strategies. You can find a basic example of an async flow here. If you need to dig deeper into this topic, consider referring to Prefect’s documentation or opening a discussion in the Prefect Community. Hope this still brings a fraction of a smile to your terminal.