The cache decorator is a tool for caching results of resource-intensive calculations or loading processes. It can be conveniently combined with the file watcher to prevent resource reloading each time the application restarts. This not only saves time, but also enhances overall efficiency.

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Parameters

func
Callable

The target function whose results need to be cached.

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Returns

cached_value
Any
required

The computed value that is stored in the cache after its initial calculation.

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Usage

Pure Python
import time
import chainlit as cl

@cl.cache
def to_cache():
    time.sleep(5)  # Simulate a time-consuming process
    return "Hello!"

value = to_cache()

@cl.on_message
async def main(message: cl.Message):
    await cl.Message(
        content=value,
    ).send()

In this example, the to_cache function simulates a time-consuming process that returns a value. By using the cl.cache decorator, the result of the function is cached after its first execution. Future calls to the to_cache function return the cached value without running the time-consuming process again.

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