Running crewai flows - CrewAI Flows deep dive course error

Hi All,

I am trying to get the flows routines running - I installed the local env using virtualenv all good.

The code is exactly as per the course:

from crewai.flow.flow import Flow, listen, start
from dotenv import load_dotenv
from litellm import completion

load_dotenv()

class ExampleFlow(Flow):
model = “gpt-4o-mini”

@start()
def generate_city(self):
    print("Starting flow")

    response = completion(
        model=self.model,
        messages=[
            {
                "role": "user",
                "content": "Return the name of a random city in the world.",
            },
        ],
    )

    random_city = response["choices"][0]["message"]["content"]
    print(f"Random City: {random_city}")

    return random_city

@listen(generate_city)
def generate_fun_fact(self, random_city):
    print("Received random city:", random_city)
    response = completion(
        model=self.model,
        messages=[
            {
                "role": "user",
                "content": f"Tell me a fun fact about {random_city}",
            },
        ],
    )

    fun_fact = response["choices"][0]["message"]["content"]
    return fun_fact

print(“Start”)
flow = ExampleFlow()
result = flow.kickoff()

print(f"Generated fun fact: {result}")

When I run it I get the following error:

(crewai-flows) (base) a_shipley@ShipleyAI:~/Conda_env/crewai-flows-crash-course$ /home/a_shipley/anaconda3/envs/crewai-flows/bin/python /home/a_shipley/Conda_env/crewai-flows-crash-course/1_basic_flow/basic_flow.py
Start
Generated fun fact: <coroutine object Flow.kickoff at 0x7fa0bccd43c0>
sys:1: RuntimeWarning: coroutine ‘Flow.kickoff’ was never awaited

I have searched the error and I get that the routine needs an await but this is the original course code so I am not sure why it is failing?

Any help or pointers would be greatly appreciated!
Thanks
Alan.

@shippers Can you please add the link to the course you’re referencing? Can you copy-paste the code of the course here?

Here is the github link - its the first 1) Basic flows - basic_flow.py

Thanks.

Anyone have any pointers for me?