@Marvin can you share an example of a basic async flow?

Certainly! Here is a basic example of an asynchronous Prefect flow:

python
import asyncio
from prefect import flow

async def some_async_function():
    await asyncio.sleep(1)
    return "I'm an async function"

@flow(log_prints=True) # send `print` statements as INFO logs
async def my_async_workflow():
    print("I can call any python code here, including prefect tasks or flows")
    await some_async_function()

if __name__ == "__main__":
    asyncio.run(my_async_workflow()) # run it like a normal async python function
    
    # or serve it as a long-lived process
    # my_async_workflow.serve("my-deployment-name")

In this example,

some_async_function

is an asynchronous function that the async flow

my_async_workflow

is calling. To run the flow, you use

asyncio.run()

just as you would with any normal async Python function. Alternatively, you can serve it as a long-lived process using the

.serve()

method. The original code can be found here: async_basic.py.

@Marvin this code gives a type hint error. How can I fix this

It appears there may be some type hint or validation issues possibly related to the usage of Pydantic or the specifics of your flow. While the search didn’t locate an exact match to your issue, there was an issue referencing a dataclass validation error with a version of Pydantic (>= 2.3). This may be related, as it indicates some type validation mechanism is failing. Here is a step you may consider to address type hint errors in your flow: 1. Ensure that you are using the correct type annotations in your functions, especially if you are using dataclasses or Pydantic models. If this does not apply, could you provide the exact error message or more context on the type hint issue? Understanding the specific error could help in finding an appropriate solution. In the meantime, here are some general tips for resolving type hint issues: - Double-check your type annotations to make sure they match the expected types of your arguments and return values. - Make sure you are not missing any imports for type hint classes. - Ensure compatibility between the library versions you are using, especially if a library (like Pydantic) relies on type hints. If you can share more details about the error, such as the error message or the specific code causing it, I can assist you more effectively.