> ## 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.

# AskActionMessage

Ask for the user to take an action before continuing.
If the user does not answer in time (see timeout), a `TimeoutError` will be raised or `None` will be returned depending on `raise_on_timeout` parameter.
If a project ID is configured, the messages will be uploaded to the cloud storage.

### Attributes

<ParamField path="content" type="str">
  The content of the message.
</ParamField>

<ParamField path="actions" type="List[Action]">
  The list of [Action](/api-reference/action) to prompt the user.
</ParamField>

<ParamField path="author" type="str" optional default="config.ui.name">
  The author of the message, defaults to the chatbot name defined in your
  config.
</ParamField>

<ParamField path="timeout" type="int" optional default={90}>
  The number of seconds to wait for an answer before raising a TimeoutError.
</ParamField>

<ParamField path="raise_on_timeout" type="bool" optional default={false}>
  Whether to raise a socketio TimeoutError if the user does not answer in time.
</ParamField>

### Returns

<ResponseField name="response" type="AskActionResponse | None">
  The response of the user.
</ResponseField>

### Example

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


@cl.on_chat_start
async def main():
    res = await cl.AskActionMessage(
        content="Pick an action!",
        actions=[
            cl.Action(name="continue", payload={"value": "continue"}, label="✅ Continue"),
            cl.Action(name="cancel", payload={"value": "cancel"}, label="❌ Cancel"),
        ],
    ).send()

    if res and res.get("payload").get("value") == "continue":
        await cl.Message(
            content="Continue!",
        ).send()
```