savePreparedInlineMessage

Returns: PreparedInlineMessage

class aiogram.methods.save_prepared_inline_message.SavePreparedInlineMessage(*, user_id: int, result: InlineQueryResultCachedAudio | InlineQueryResultCachedDocument | InlineQueryResultCachedGif | InlineQueryResultCachedMpeg4Gif | InlineQueryResultCachedPhoto | InlineQueryResultCachedSticker | InlineQueryResultCachedVideo | InlineQueryResultCachedVoice | InlineQueryResultArticle | InlineQueryResultAudio | InlineQueryResultContact | InlineQueryResultGame | InlineQueryResultDocument | InlineQueryResultGif | InlineQueryResultLocation | InlineQueryResultMpeg4Gif | InlineQueryResultPhoto | InlineQueryResultVenue | InlineQueryResultVideo | InlineQueryResultVoice, allow_user_chats: bool | None = None, allow_bot_chats: bool | None = None, allow_group_chats: bool | None = None, allow_channel_chats: bool | None = None, **extra_data: Any)[source]

Stores a message that can be sent by a user of a Mini App. Returns a aiogram.types.prepared_inline_message.PreparedInlineMessage object.

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

user_id: int

Unique identifier of the target user that can use the prepared message

result: InlineQueryResultCachedAudio | InlineQueryResultCachedDocument | InlineQueryResultCachedGif | InlineQueryResultCachedMpeg4Gif | InlineQueryResultCachedPhoto | InlineQueryResultCachedSticker | InlineQueryResultCachedVideo | InlineQueryResultCachedVoice | InlineQueryResultArticle | InlineQueryResultAudio | InlineQueryResultContact | InlineQueryResultGame | InlineQueryResultDocument | InlineQueryResultGif | InlineQueryResultLocation | InlineQueryResultMpeg4Gif | InlineQueryResultPhoto | InlineQueryResultVenue | InlineQueryResultVideo | InlineQueryResultVoice

A JSON-serialized object describing the message to be sent

allow_user_chats: bool | None

Pass True if the message can be sent to private chats with users

model_computed_fields: ClassVar[Dict[str, ComputedFieldInfo]] = {}

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

model_post_init(context: Any, /) → None

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

allow_bot_chats: bool | None

Pass True if the message can be sent to private chats with bots

allow_group_chats: bool | None

Pass True if the message can be sent to group and supergroup chats

allow_channel_chats: bool | None

Pass True if the message can be sent to channel chats

Usage

As bot method

result: PreparedInlineMessage = await bot.save_prepared_inline_message(...)

Method as object

Imports:

  • from aiogram.methods.save_prepared_inline_message import SavePreparedInlineMessage

  • alias: from aiogram.methods import SavePreparedInlineMessage

With specific bot

result: PreparedInlineMessage = await bot(SavePreparedInlineMessage(...))

As reply into Webhook in handler

return SavePreparedInlineMessage(...)