Telega

A Gleam library for the Telegram Bot API on BEAM.

It provides

• an interface to the Telegram Bot HTTP-based APIs telega/api
• a client for the Telegram Bot API telega/client
• OTP supervision tree for all bot processes (bot actor, chat instances, polling)
• adapter to use with wisp
• long polling with automatic retry and exponential backoff
• session bot implementation
• conversation implementation (multi-message flows)
• graceful shutdown via telega.shutdown()

Quick start

If you are new to Telegram bots, read the official Introduction for Developers written by the Telegram team.

First, visit @BotFather to create a new bot. Copy the token and save it for later.

Initiate a gleam project and add telega as a dependency:

$ gleam new first_tg_bot
$ cd first_tg_bot
$ gleam add telega gleam_erlang

Replace the first_tg_bot.gleam file content with the following code:

import gleam/erlang/process
import telega
import telega/reply
import telega/router
import telega/update

fn handle_text(ctx, text) {
  use ctx <- telega.log_context(ctx, "echo_text")
  let assert Ok(_) = reply.with_text(ctx, text)
  Ok(ctx)
}

fn handle_command(ctx, command: update.Command) {
  use ctx <- telega.log_context(ctx, "echo_command")
  let assert Ok(_) = reply.with_text(ctx, "Command: " <> command.text)
  Ok(ctx)
}

pub fn main() {
  let router =
    router.new("echo_bot")
    |> router.on_any_text(handle_text)
    |> router.on_commands(["start", "help"], handle_command)

  let assert Ok(_bot) =
    telega.new_for_polling(token: "BOT_TOKEN")
    |> telega.with_router(router)
    |> telega.init_for_polling_nil_session()

  // The bot is running with a supervision tree (including polling).
  process.sleep_forever()
}

Replace "BOT_TOKEN" with the token you received from the BotFather. Then run the bot:

$ gleam run

And it will echo all received text messages.

Congratulations! You just wrote a Telegram bot :)

Architecture

Calling telega.init_for_polling() (or telega.init() for webhooks) starts an OTP supervision tree:

TelegaRootSupervisor (OneForOne)
├── ChatInstances (factory_supervisor, Transient children)
│   ├── ChatInstance {chat1:user1}
│   ├── ChatInstance {chat2:user2}
│   └── ...
├── Bot actor (Permanent)
└── Polling worker (Permanent) — only in polling mode

• Bot actor — dispatches incoming updates to the correct ChatInstance by {chat_id}:{from_id} key.
• ChatInstance — one per user-chat combination; holds session state and conversation continuations. Transient restart strategy means it restarts only on abnormal exit and re-registers itself in the ETS registry automatically.
• Polling worker — long-polls the Telegram API with exponential backoff on errors.

Each telega.init* call creates an independent tree with its own ETS registry, so multiple bot instances don’t conflict.

Graceful shutdown

telega.shutdown(bot)

Sends an OTP shutdown signal to the root supervisor, which stops children in reverse start order (polling → bot → chat factory).

Testing

Telega ships with a testing toolkit under telega/testing/ — mock clients, data factories, and a declarative conversation DSL. No real Telegram API calls needed.

import telega/testing/conversation

pub fn greeting_flow_test() {
  conversation.conversation_test()
  |> conversation.send("/start")
  |> conversation.expect_reply_containing("Hello")
  |> conversation.send("Alice")
  |> conversation.expect_reply_containing("Alice")
  |> conversation.run(build_router(), fn() { MySession(name: "") })
}

See the full Testing guide for handler isolation, mock clients, media assertions, and more.

Examples

Progressive examples in the examples directory:

1. 00-echo-bot — Basic echo with long polling
2. 01-commands-bot — Command handling
3. 02-session-bot — Stateful sessions
4. 03-conversation-bot — Multi-message conversations
5. 04-keyboard-bot — Inline keyboards and callbacks
6. 05-media-group-bot — Media group handling
7. 06-restaurant-booking — Full-featured application with flows and database

Development

gleam build  # Build the project
gleam test   # Run the tests
gleam format # Format code
gleam shell  # Run an Erlang shell