In Prefect 3.x, you can add a cache prefix by configuring a custom cache policy with a specific key storage location. Here's how to do it: 1. Using a local directory:

python
from prefect import flow, task
from prefect.tasks.core.defaults import cache_policy

@task(cache_policy=cache_policy(
    key_storage="/path/to/cache/directory"  # This acts as your cache prefix
))
def my_cached_task():
    return "some result"

2. Using a remote storage block (like S3):

python
from prefect import flow, task
from prefect.tasks.core.defaults import cache_policy
from prefect_aws import S3Bucket

# First, ensure you have configured your S3 block
s3_block = S3Bucket.load("my-block-name")

@task(cache_policy=cache_policy(
    key_storage=s3_block,
    prefix="my-custom-prefix/"  # Optional prefix within the storage location
))
def my_cached_task():
    return "some result"

The cache key will be automatically generated based on: - The task's inputs - The task's code definition - The flow run or task run ID These components are hashed together to create a unique cache key, and the prefix/storage location you specify determines where these cache records are stored. Remember that caching is particularly useful for: - Expensive computations that you want to avoid repeating - Tasks that frequently produce the same results for the same inputs - Optimizing workflow execution time For more details on caching configuration and best practices, you can refer to the Prefect caching documentation.