A Redis cache decorator for crewai tasks/flows.
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Project description
crewai-cache-hook
A Redis-based cache decorator for crewai tasks or flows.
Features
- Add cache capability to functions/tasks via a decorator
- Checks Redis cache before execution, returns cached result if hit
- Automatically writes result to Redis cache after execution
- Supports custom cache key, expiration time, and Redis connection parameters
Installation
pip install redis
Quick Start
- Copy
cache_hook.pyto your project directory - Use the decorator in your crewai task/flow
from cache_hook import cache_hook
@cache_hook(expire=600) # Cache for 10 minutes
def my_task(x, y):
# Your task logic
return x + y
Advanced Usage
To customize Redis connection parameters:
from cache_hook import CacheHook
my_cache = CacheHook(host='127.0.0.1', port=6379, db=0)
cache_hook = my_cache.cache_hook
@cache_hook(expire=120)
def another_task(a, b):
...
Parameters
expire: Cache expiration time (seconds)cache_key_func: Custom function to generate cache key (optional)host/port/db/password: Redis connection parameters
Notes
- Uses pickle for result serialization by default. Ensure your result objects are pickle-serializable.
- Suitable for crewai tasks, flows, or regular Python functions.
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