User-friendly Telegram Bot API wrapper supporting long-polling and webhook modes, command and input handlers, and flexible configuration options. Offers asynchronous request handling and comprehensive response processing.
Telegram Bot Api wrapper with a user-friendly interface.
Add the ksp plugin and library plugin to your Gradle build file.
build.gradle.kts example:
plugins {
// ...
id("com.google.devtools.ksp") version "2.3.8"
id("eu.vendeli.telegram-bot") version "9.5.0"
}
plugins {
// ...
id("com.google.devtools.ksp") version "2.3.8"
}
dependencies {
// ...
implementation("eu.vendeli:telegram-bot:9.5.0")
ksp("eu.vendeli:ktnip:9.5.0")
}
For multiplatform, you need to add the dependency to common sources and define ksp for the targets you need, see example in native-example.
a little more detailed about handlers you can see in handlers article.
It is also possible to set functionality through dsl:
fun main() = runBlocking {
val bot = TelegramBot("BOT_TOKEN")
bot.setFunctionality {
onCommand() {
message { }.send(user, bot)
bot.inputListener[user] =
}
inputChain() {
message { }.send(update.getUser(), bot)
message { }.send(update.getUser(), bot)
}.breakIf({ message.text == }) {
message { }.send(update.getUser(), bot)
}.andThen {
}
}
bot.handleUpdates()
}
The library has very flexible customization options, and there are different options to configure through external sources.
You can read more in a Bot configuration article.
Also, you can check plugin configuration options.
To process over response or/and have more control over request flow
use
sendReturning()
instead
of
send()
method,
which
returns
Response:
message { "test" }.sendReturning(user, bot).onFailure {
println("code: ${it.errorCode} description: ${it.description}")
}
All sendReturning methods returns
a
Response
on which you can also use
methods
getOrNull()
,
,
You're always welcome in our chat, feel free to ask.
AI coding assistants: see AGENTS.md for project context and conventions.
A big thank you to everyone who has contributed to this project. Your support and feedback are invaluable.
If you find this library useful, please consider giving it a star. Your support helps us continue to improve and maintain this project.
To install snapshot versions, add snapshot repository,
if you're using plugin just use addSnapshotRepo parameter:
ktGram {
forceVersion = "branch-xxxxxx~xxxxxx"
addSnapshotRepo = true
}
or manually add repository:
repositories {
mavenCentral()
// ...
maven("https://mvn.vendeli.eu/telegram-bot") // this
}
And add library dependency (with ksp processor) as described in manually section using the latest package version
from packages or from badge above.
FSM and
usage of BotContext.suspend fun main() {
val bot = TelegramBot("BOT_TOKEN")
bot.handleUpdates()
// start long-polling listener
}
suspend fun start(user: User, bot: TelegramBot) {
sendMessage { "Hello, what's your name?" }.send(user, bot)
bot.inputListener[user] = "conversation"
}
suspend fun startConversation(update: ProcessedUpdate, user: User, bot: TelegramBot) {
sendMessage { "Nice to meet you, ${update.text}" }.send(user, bot)
sendMessage { "What is your favorite food?" }.send(user, bot)
bot.inputListener.set(user) { "conversation-2step" } // another way to set input
}
.Regex("blue colo?r")
suspend fun color(user: User, bot: TelegramBot) {
message { "Oh you also like blue color?" }.send(user, bot)
}
//..
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