In Prefect 3.x, you can control where task cache files are stored by configuring the cache policy's storage location. Here's how to do it: 1. For local storage, specify a custom path when creating your cache policy:

python
from prefect.tasks import task
from prefect.utilities.caching import cache_key_from_task_source

@task(cache_policy={
    "key_fn": cache_key_from_task_source,
    "key_storage": "/path/to/your/cache/directory"
})
def my_task():
    # your task code here
    pass

2. For remote storage, you can use storage blocks like S3:

python
from prefect.tasks import task
from prefect.blocks.system import S3Bucket

s3_block = S3Bucket.load("my-block-name")

@task(cache_policy={
    "key_fn": cache_key_from_task_source,
    "key_storage": s3_block
})
def my_task():
    # your task code here
    pass

The

key_storage

parameter determines where your cache files will be stored. If you don't specify it, Prefect will use a default local directory. You can find more details about caching configuration in the Prefect documentation.

There are several ways to configure where Prefect stores persisted results: 1. Global Configuration Set the default storage location using environment variables:

bash
   # For local storage path
   export PREFECT_LOCAL_STORAGE_PATH="/path/to/your/results"
   
   # For a different storage block
   export PREFECT_DEFAULT_RESULT_STORAGE_BLOCK="s3/my-block"

2. Per Task/Flow Configuration Specify storage directly on tasks or flows:

python
   from prefect import task, flow
   from prefect.blocks.system import S3Bucket

   # Using local storage
   @task(result_storage="/path/to/storage")
   def my_task():
       return "some result"

   # Using a storage block
   s3_block = S3Bucket.load("my-block")
   
   @task(result_storage=s3_block)
   def another_task():
       return "some result"

3. Using Python Configuration Configure through Prefect's settings:

python
   from prefect.settings import Settings

   settings = Settings(
       default_result_storage_block="s3/my-block",
       # or for local storage:
       local_storage_path="/path/to/storage"
   )

The precedence order is: 1. Task/flow-level configuration 2. Environment variables 3. Default settings You can find more details about result storage configuration in the Prefect documentation. Remember that if you're using local storage, make sure the specified directory exists and is writable by the process running your flows.