> ## Documentation Index
> Fetch the complete documentation index at: https://docs.chainlit.io/llms.txt
> Use this file to discover all available pages before exploring further.

# make_async

The `make_async` function takes a synchronous function (for instance a LangChain agent) and returns an asynchronous function that will run the original function in a separate thread.
This is useful to run long running synchronous tasks without blocking the event loop.

## Parameters

<ParamField path="func" type="Callable">
  The synchronous function to run in a separate thread.
</ParamField>

## Returns

<ResponseField name="async_function" type="Coroutine" required>
  The asynchronous function that will run the synchronous function in a separate
  thread.
</ResponseField>

## Usage

```python theme={null}
import time
import chainlit as cl

def sync_func():
    time.sleep(5)
    return "Hello!"

@cl.on_message
async def main(message: cl.Message):
    answer = await cl.make_async(sync_func)()
    await cl.Message(
        content=answer,
    ).send()
```

```python LangChain agent theme={null}
import chainlit as cl

res = await cl.make_async(agent)(input_str, callbacks=[cl.LangchainCallbackHandler()])
await cl.Message(content=res["text"]).send()
```