answerCallbackQuery#

Returns: bool

class aiogram.methods.answer_callback_query.AnswerCallbackQuery(*, callback_query_id: str, text: str | None = None, show_alert: bool | None = None, url: str | None = None, cache_time: int | None = None, **extra_data: Any)[source]#

Use this method to send answers to callback queries sent from inline keyboards. The answer will be displayed to the user as a notification at the top of the chat screen or as an alert. On success, True is returned.

Alternatively, the user can be redirected to the specified Game URL. For this option to work, you must first create a game for your bot via @BotFather and accept the terms. Otherwise, you may use links like t.me/your_bot?start=XXXX that open your bot with a parameter.

Source: https://core.telegram.org/bots/api#answercallbackquery

callback_query_id: str#

Unique identifier for the query to be answered

text: str | None#

Text of the notification. If not specified, nothing will be shown to the user, 0-200 characters

show_alert: bool | None#

If True, an alert will be shown by the client instead of a notification at the top of the chat screen. Defaults to false.

model_computed_fields: ClassVar[dict[str, ComputedFieldInfo]] = {}#

A dictionary of computed field names and their corresponding ComputedFieldInfo objects.

model_post_init(_ModelMetaclass__context: Any) → None#

We need to both initialize private attributes and call the user-defined model_post_init method.

url: str | None#

URL that will be opened by the user’s client. If you have created a aiogram.types.game.Game and accepted the conditions via @BotFather, specify the URL that opens your game - note that this will only work if the query comes from a https://core.telegram.org/bots/api#inlinekeyboardbutton callback_game button.

cache_time: int | None#

The maximum amount of time in seconds that the result of the callback query may be cached client-side. Telegram apps will support caching starting in version 3.14. Defaults to 0.

Usage#

As bot method#

result: bool = await bot.answer_callback_query(...)

Method as object#

Imports:

  • from aiogram.methods.answer_callback_query import AnswerCallbackQuery

  • alias: from aiogram.methods import AnswerCallbackQuery

With specific bot#

result: bool = await bot(AnswerCallbackQuery(...))

As reply into Webhook in handler#

return AnswerCallbackQuery(...)

As shortcut from received object#